2022/07/22 13:56:25 - mmengine - INFO - load model from: torchvision://resnet50 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.conv_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.1.non_local_block.bn_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.conv_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.3.non_local_block.bn_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.conv_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.1.non_local_block.bn_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.conv_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.3.non_local_block.bn_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.g.0 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.conv_out 2022/07/22 13:56:29 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.5.non_local_block.bn_out 2022/07/22 13:56:29 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/07/22 13:56:29 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb by HardDiskBackend. 2022/07/22 13:57:45 - mmengine - INFO - Epoch(train) [1][20/3757] lr: 1.0000e-02 eta: 16 days, 14:18:43 time: 3.8169 data_time: 3.5102 memory: 6108 grad_norm: 5.4215 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0615 loss: 6.0615 2022/07/22 13:57:49 - mmengine - INFO - Epoch(train) [1][40/3757] lr: 1.0000e-02 eta: 8 days, 18:41:07 time: 0.2212 data_time: 0.0288 memory: 6108 grad_norm: 5.3241 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.1024 loss: 6.1024 2022/07/22 13:57:54 - mmengine - INFO - Epoch(train) [1][60/3757] lr: 1.0000e-02 eta: 6 days, 4:12:55 time: 0.2233 data_time: 0.0162 memory: 6108 grad_norm: 5.2844 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9621 loss: 5.9621 2022/07/22 13:57:58 - mmengine - INFO - Epoch(train) [1][80/3757] lr: 1.0000e-02 eta: 4 days, 21:00:42 time: 0.2245 data_time: 0.0168 memory: 6108 grad_norm: 5.1543 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7260 loss: 5.7260 2022/07/22 13:58:03 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.0000e-02 eta: 4 days, 2:21:28 time: 0.2278 data_time: 0.0200 memory: 6108 grad_norm: 5.3196 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8002 loss: 5.8002 2022/07/22 13:58:07 - mmengine - INFO - Epoch(train) [1][120/3757] lr: 1.0000e-02 eta: 3 days, 13:46:43 time: 0.2196 data_time: 0.0193 memory: 6108 grad_norm: 5.4217 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5618 loss: 5.5618 2022/07/22 13:58:12 - mmengine - INFO - Epoch(train) [1][140/3757] lr: 1.0000e-02 eta: 3 days, 5:06:50 time: 0.2411 data_time: 0.0167 memory: 6108 grad_norm: 5.4554 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3782 loss: 5.3782 2022/07/22 13:58:17 - mmengine - INFO - Epoch(train) [1][160/3757] lr: 1.0000e-02 eta: 2 days, 22:33:37 time: 0.2369 data_time: 0.0211 memory: 6108 grad_norm: 5.6928 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4551 loss: 5.4551 2022/07/22 13:58:21 - mmengine - INFO - Epoch(train) [1][180/3757] lr: 1.0000e-02 eta: 2 days, 17:14:19 time: 0.2176 data_time: 0.0186 memory: 6108 grad_norm: 5.7049 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.3288 loss: 5.3288 2022/07/22 13:58:26 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.0000e-02 eta: 2 days, 13:00:00 time: 0.2194 data_time: 0.0167 memory: 6108 grad_norm: 5.8549 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2254 loss: 5.2254 2022/07/22 13:58:30 - mmengine - INFO - Epoch(train) [1][220/3757] lr: 1.0000e-02 eta: 2 days, 9:39:10 time: 0.2321 data_time: 0.0184 memory: 6108 grad_norm: 5.9155 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1484 loss: 5.1484 2022/07/22 13:58:35 - mmengine - INFO - Epoch(train) [1][240/3757] lr: 1.0000e-02 eta: 2 days, 6:54:32 time: 0.2374 data_time: 0.0203 memory: 6108 grad_norm: 5.8982 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1981 loss: 5.1981 2022/07/22 13:58:40 - mmengine - INFO - Epoch(train) [1][260/3757] lr: 1.0000e-02 eta: 2 days, 4:32:07 time: 0.2310 data_time: 0.0164 memory: 6108 grad_norm: 6.0421 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0333 loss: 5.0333 2022/07/22 13:58:44 - mmengine - INFO - Epoch(train) [1][280/3757] lr: 1.0000e-02 eta: 2 days, 2:31:21 time: 0.2339 data_time: 0.0268 memory: 6108 grad_norm: 5.9942 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0893 loss: 5.0893 2022/07/22 13:58:49 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.0000e-02 eta: 2 days, 0:43:41 time: 0.2267 data_time: 0.0155 memory: 6108 grad_norm: 6.1938 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9423 loss: 4.9423 2022/07/22 13:58:53 - mmengine - INFO - Epoch(train) [1][320/3757] lr: 1.0000e-02 eta: 1 day, 23:11:20 time: 0.2315 data_time: 0.0229 memory: 6108 grad_norm: 6.2619 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0157 loss: 5.0157 2022/07/22 13:58:59 - mmengine - INFO - Epoch(train) [1][340/3757] lr: 1.0000e-02 eta: 1 day, 21:58:40 time: 0.2555 data_time: 0.0145 memory: 6108 grad_norm: 6.1770 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7074 loss: 4.7074 2022/07/22 13:59:03 - mmengine - INFO - Epoch(train) [1][360/3757] lr: 1.0000e-02 eta: 1 day, 20:45:48 time: 0.2317 data_time: 0.0165 memory: 6108 grad_norm: 6.4540 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7036 loss: 4.7036 2022/07/22 13:59:08 - mmengine - INFO - Epoch(train) [1][380/3757] lr: 1.0000e-02 eta: 1 day, 19:42:16 time: 0.2368 data_time: 0.0221 memory: 6108 grad_norm: 6.4298 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9704 loss: 4.9704 2022/07/22 13:59:13 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.0000e-02 eta: 1 day, 18:46:31 time: 0.2414 data_time: 0.0337 memory: 6108 grad_norm: 6.4601 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8184 loss: 4.8184 2022/07/22 13:59:17 - mmengine - INFO - Epoch(train) [1][420/3757] lr: 1.0000e-02 eta: 1 day, 17:53:51 time: 0.2340 data_time: 0.0248 memory: 6108 grad_norm: 6.4146 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4626 loss: 4.4626 2022/07/22 13:59:22 - mmengine - INFO - Epoch(train) [1][440/3757] lr: 1.0000e-02 eta: 1 day, 17:02:16 time: 0.2209 data_time: 0.0212 memory: 6108 grad_norm: 6.5230 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4943 loss: 4.4943 2022/07/22 13:59:26 - mmengine - INFO - Epoch(train) [1][460/3757] lr: 1.0000e-02 eta: 1 day, 16:14:46 time: 0.2195 data_time: 0.0207 memory: 6108 grad_norm: 6.5351 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7712 loss: 4.7712 2022/07/22 13:59:31 - mmengine - INFO - Epoch(train) [1][480/3757] lr: 1.0000e-02 eta: 1 day, 15:39:54 time: 0.2528 data_time: 0.0188 memory: 6108 grad_norm: 6.5281 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7186 loss: 4.7186 2022/07/22 13:59:36 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.0000e-02 eta: 1 day, 14:58:59 time: 0.2175 data_time: 0.0213 memory: 6108 grad_norm: 6.4018 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4990 loss: 4.4990 2022/07/22 13:59:40 - mmengine - INFO - Epoch(train) [1][520/3757] lr: 1.0000e-02 eta: 1 day, 14:26:20 time: 0.2388 data_time: 0.0180 memory: 6108 grad_norm: 6.6959 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5386 loss: 4.5386 2022/07/22 13:59:45 - mmengine - INFO - Epoch(train) [1][540/3757] lr: 1.0000e-02 eta: 1 day, 13:55:16 time: 0.2353 data_time: 0.0204 memory: 6108 grad_norm: 6.5736 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5814 loss: 4.5814 2022/07/22 13:59:50 - mmengine - INFO - Epoch(train) [1][560/3757] lr: 1.0000e-02 eta: 1 day, 13:25:39 time: 0.2318 data_time: 0.0218 memory: 6108 grad_norm: 6.5034 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3425 loss: 4.3425 2022/07/22 13:59:54 - mmengine - INFO - Epoch(train) [1][580/3757] lr: 1.0000e-02 eta: 1 day, 12:55:49 time: 0.2213 data_time: 0.0250 memory: 6108 grad_norm: 6.5713 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3663 loss: 4.3663 2022/07/22 13:59:59 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.0000e-02 eta: 1 day, 12:31:21 time: 0.2376 data_time: 0.0398 memory: 6108 grad_norm: 6.6421 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.4061 loss: 4.4061 2022/07/22 14:00:03 - mmengine - INFO - Epoch(train) [1][620/3757] lr: 1.0000e-02 eta: 1 day, 12:03:57 time: 0.2152 data_time: 0.0161 memory: 6108 grad_norm: 6.6099 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.6088 loss: 4.6088 2022/07/22 14:00:08 - mmengine - INFO - Epoch(train) [1][640/3757] lr: 1.0000e-02 eta: 1 day, 11:45:16 time: 0.2511 data_time: 0.0368 memory: 6108 grad_norm: 6.5374 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4741 loss: 4.4741 2022/07/22 14:00:13 - mmengine - INFO - Epoch(train) [1][660/3757] lr: 1.0000e-02 eta: 1 day, 11:25:27 time: 0.2392 data_time: 0.0192 memory: 6108 grad_norm: 6.6687 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4474 loss: 4.4474 2022/07/22 14:00:18 - mmengine - INFO - Epoch(train) [1][680/3757] lr: 1.0000e-02 eta: 1 day, 11:08:27 time: 0.2481 data_time: 0.0178 memory: 6108 grad_norm: 6.6173 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3356 loss: 4.3356 2022/07/22 14:00:22 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.0000e-02 eta: 1 day, 10:48:05 time: 0.2239 data_time: 0.0207 memory: 6108 grad_norm: 6.6608 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2405 loss: 4.2405 2022/07/22 14:00:27 - mmengine - INFO - Epoch(train) [1][720/3757] lr: 1.0000e-02 eta: 1 day, 10:33:24 time: 0.2501 data_time: 0.0205 memory: 6108 grad_norm: 6.6750 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2895 loss: 4.2895 2022/07/22 14:00:32 - mmengine - INFO - Epoch(train) [1][740/3757] lr: 1.0000e-02 eta: 1 day, 10:14:05 time: 0.2181 data_time: 0.0183 memory: 6108 grad_norm: 6.6015 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3902 loss: 4.3902 2022/07/22 14:00:36 - mmengine - INFO - Epoch(train) [1][760/3757] lr: 1.0000e-02 eta: 1 day, 9:57:50 time: 0.2305 data_time: 0.0227 memory: 6108 grad_norm: 6.5415 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4211 loss: 4.4211 2022/07/22 14:00:41 - mmengine - INFO - Epoch(train) [1][780/3757] lr: 1.0000e-02 eta: 1 day, 9:41:11 time: 0.2229 data_time: 0.0228 memory: 6108 grad_norm: 6.6037 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2668 loss: 4.2668 2022/07/22 14:00:45 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.0000e-02 eta: 1 day, 9:25:16 time: 0.2222 data_time: 0.0209 memory: 6108 grad_norm: 6.6834 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2904 loss: 4.2904 2022/07/22 14:00:50 - mmengine - INFO - Epoch(train) [1][820/3757] lr: 1.0000e-02 eta: 1 day, 9:11:20 time: 0.2303 data_time: 0.0224 memory: 6108 grad_norm: 6.7771 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1851 loss: 4.1851 2022/07/22 14:00:55 - mmengine - INFO - Epoch(train) [1][840/3757] lr: 1.0000e-02 eta: 1 day, 8:57:49 time: 0.2285 data_time: 0.0286 memory: 6108 grad_norm: 6.7240 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3916 loss: 4.3916 2022/07/22 14:00:59 - mmengine - INFO - Epoch(train) [1][860/3757] lr: 1.0000e-02 eta: 1 day, 8:45:59 time: 0.2358 data_time: 0.0294 memory: 6108 grad_norm: 6.7650 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0328 loss: 4.0328 2022/07/22 14:01:04 - mmengine - INFO - Epoch(train) [1][880/3757] lr: 1.0000e-02 eta: 1 day, 8:35:17 time: 0.2401 data_time: 0.0210 memory: 6108 grad_norm: 6.7334 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2717 loss: 4.2717 2022/07/22 14:01:09 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.0000e-02 eta: 1 day, 8:23:51 time: 0.2315 data_time: 0.0274 memory: 6108 grad_norm: 6.5525 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.3734 loss: 4.3734 2022/07/22 14:01:13 - mmengine - INFO - Epoch(train) [1][920/3757] lr: 1.0000e-02 eta: 1 day, 8:11:45 time: 0.2228 data_time: 0.0180 memory: 6108 grad_norm: 6.6233 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5558 loss: 4.5558 2022/07/22 14:01:18 - mmengine - INFO - Epoch(train) [1][940/3757] lr: 1.0000e-02 eta: 1 day, 8:04:41 time: 0.2568 data_time: 0.0267 memory: 6108 grad_norm: 6.7604 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3322 loss: 4.3322 2022/07/22 14:01:23 - mmengine - INFO - Epoch(train) [1][960/3757] lr: 1.0000e-02 eta: 1 day, 7:56:19 time: 0.2447 data_time: 0.0152 memory: 6108 grad_norm: 6.6650 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3205 loss: 4.3205 2022/07/22 14:01:28 - mmengine - INFO - Epoch(train) [1][980/3757] lr: 1.0000e-02 eta: 1 day, 7:50:43 time: 0.2636 data_time: 0.0201 memory: 6108 grad_norm: 6.6721 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0123 loss: 4.0123 2022/07/22 14:01:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:01:33 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.0000e-02 eta: 1 day, 7:40:52 time: 0.2280 data_time: 0.0234 memory: 6108 grad_norm: 6.7365 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1903 loss: 4.1903 2022/07/22 14:01:37 - mmengine - INFO - Epoch(train) [1][1020/3757] lr: 1.0000e-02 eta: 1 day, 7:30:53 time: 0.2237 data_time: 0.0175 memory: 6108 grad_norm: 6.6168 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9534 loss: 3.9534 2022/07/22 14:01:42 - mmengine - INFO - Epoch(train) [1][1040/3757] lr: 1.0000e-02 eta: 1 day, 7:21:32 time: 0.2258 data_time: 0.0221 memory: 6108 grad_norm: 6.7400 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3263 loss: 4.3263 2022/07/22 14:01:47 - mmengine - INFO - Epoch(train) [1][1060/3757] lr: 1.0000e-02 eta: 1 day, 7:13:11 time: 0.2312 data_time: 0.0256 memory: 6108 grad_norm: 6.7034 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3410 loss: 4.3410 2022/07/22 14:01:51 - mmengine - INFO - Epoch(train) [1][1080/3757] lr: 1.0000e-02 eta: 1 day, 7:04:09 time: 0.2228 data_time: 0.0154 memory: 6108 grad_norm: 6.5160 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2057 loss: 4.2057 2022/07/22 14:01:57 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.0000e-02 eta: 1 day, 7:01:19 time: 0.2745 data_time: 0.0834 memory: 6108 grad_norm: 6.6385 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2779 loss: 4.2779 2022/07/22 14:02:01 - mmengine - INFO - Epoch(train) [1][1120/3757] lr: 1.0000e-02 eta: 1 day, 6:52:44 time: 0.2220 data_time: 0.0235 memory: 6108 grad_norm: 6.5580 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1221 loss: 4.1221 2022/07/22 14:02:05 - mmengine - INFO - Epoch(train) [1][1140/3757] lr: 1.0000e-02 eta: 1 day, 6:44:49 time: 0.2254 data_time: 0.0255 memory: 6108 grad_norm: 6.6911 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0723 loss: 4.0723 2022/07/22 14:02:10 - mmengine - INFO - Epoch(train) [1][1160/3757] lr: 1.0000e-02 eta: 1 day, 6:37:16 time: 0.2264 data_time: 0.0225 memory: 6108 grad_norm: 6.6822 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1869 loss: 4.1869 2022/07/22 14:02:15 - mmengine - INFO - Epoch(train) [1][1180/3757] lr: 1.0000e-02 eta: 1 day, 6:30:25 time: 0.2305 data_time: 0.0184 memory: 6108 grad_norm: 6.6871 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5130 loss: 4.5130 2022/07/22 14:02:19 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.0000e-02 eta: 1 day, 6:23:14 time: 0.2252 data_time: 0.0162 memory: 6108 grad_norm: 6.6577 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2062 loss: 4.2062 2022/07/22 14:02:24 - mmengine - INFO - Epoch(train) [1][1220/3757] lr: 1.0000e-02 eta: 1 day, 6:17:55 time: 0.2410 data_time: 0.0244 memory: 6108 grad_norm: 6.6053 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1873 loss: 4.1873 2022/07/22 14:02:29 - mmengine - INFO - Epoch(train) [1][1240/3757] lr: 1.0000e-02 eta: 1 day, 6:12:03 time: 0.2341 data_time: 0.0165 memory: 6108 grad_norm: 6.5365 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0599 loss: 4.0599 2022/07/22 14:02:33 - mmengine - INFO - Epoch(train) [1][1260/3757] lr: 1.0000e-02 eta: 1 day, 6:06:19 time: 0.2334 data_time: 0.0167 memory: 6108 grad_norm: 6.4103 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0703 loss: 4.0703 2022/07/22 14:02:38 - mmengine - INFO - Epoch(train) [1][1280/3757] lr: 1.0000e-02 eta: 1 day, 5:59:51 time: 0.2242 data_time: 0.0232 memory: 6108 grad_norm: 6.6900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9661 loss: 3.9661 2022/07/22 14:02:43 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.0000e-02 eta: 1 day, 5:56:07 time: 0.2506 data_time: 0.0472 memory: 6108 grad_norm: 6.6017 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9777 loss: 3.9777 2022/07/22 14:02:47 - mmengine - INFO - Epoch(train) [1][1320/3757] lr: 1.0000e-02 eta: 1 day, 5:50:46 time: 0.2322 data_time: 0.0211 memory: 6108 grad_norm: 6.5244 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8969 loss: 3.8969 2022/07/22 14:02:52 - mmengine - INFO - Epoch(train) [1][1340/3757] lr: 1.0000e-02 eta: 1 day, 5:44:42 time: 0.2229 data_time: 0.0192 memory: 6108 grad_norm: 6.6920 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7910 loss: 3.7910 2022/07/22 14:02:56 - mmengine - INFO - Epoch(train) [1][1360/3757] lr: 1.0000e-02 eta: 1 day, 5:39:10 time: 0.2267 data_time: 0.0172 memory: 6108 grad_norm: 6.7576 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1614 loss: 4.1614 2022/07/22 14:03:01 - mmengine - INFO - Epoch(train) [1][1380/3757] lr: 1.0000e-02 eta: 1 day, 5:34:50 time: 0.2383 data_time: 0.0188 memory: 6108 grad_norm: 6.7303 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9236 loss: 3.9236 2022/07/22 14:03:06 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.0000e-02 eta: 1 day, 5:30:03 time: 0.2320 data_time: 0.0232 memory: 6108 grad_norm: 6.5223 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0900 loss: 4.0900 2022/07/22 14:03:10 - mmengine - INFO - Epoch(train) [1][1420/3757] lr: 1.0000e-02 eta: 1 day, 5:24:57 time: 0.2266 data_time: 0.0212 memory: 6108 grad_norm: 6.6416 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1246 loss: 4.1246 2022/07/22 14:03:15 - mmengine - INFO - Epoch(train) [1][1440/3757] lr: 1.0000e-02 eta: 1 day, 5:19:27 time: 0.2206 data_time: 0.0188 memory: 6108 grad_norm: 6.6663 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1634 loss: 4.1634 2022/07/22 14:03:20 - mmengine - INFO - Epoch(train) [1][1460/3757] lr: 1.0000e-02 eta: 1 day, 5:16:28 time: 0.2481 data_time: 0.0212 memory: 6108 grad_norm: 6.6987 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0322 loss: 4.0322 2022/07/22 14:03:24 - mmengine - INFO - Epoch(train) [1][1480/3757] lr: 1.0000e-02 eta: 1 day, 5:12:20 time: 0.2337 data_time: 0.0183 memory: 6108 grad_norm: 6.5732 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1153 loss: 4.1153 2022/07/22 14:03:29 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.0000e-02 eta: 1 day, 5:07:28 time: 0.2236 data_time: 0.0187 memory: 6108 grad_norm: 6.4593 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2657 loss: 4.2657 2022/07/22 14:03:34 - mmengine - INFO - Epoch(train) [1][1520/3757] lr: 1.0000e-02 eta: 1 day, 5:03:45 time: 0.2361 data_time: 0.0213 memory: 6108 grad_norm: 6.6201 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8969 loss: 3.8969 2022/07/22 14:03:38 - mmengine - INFO - Epoch(train) [1][1540/3757] lr: 1.0000e-02 eta: 1 day, 4:59:46 time: 0.2315 data_time: 0.0232 memory: 6108 grad_norm: 6.5776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.9103 loss: 3.9103 2022/07/22 14:03:43 - mmengine - INFO - Epoch(train) [1][1560/3757] lr: 1.0000e-02 eta: 1 day, 4:55:16 time: 0.2239 data_time: 0.0176 memory: 6108 grad_norm: 6.7845 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9452 loss: 3.9452 2022/07/22 14:03:48 - mmengine - INFO - Epoch(train) [1][1580/3757] lr: 1.0000e-02 eta: 1 day, 4:52:49 time: 0.2484 data_time: 0.0251 memory: 6108 grad_norm: 6.7414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.9223 loss: 3.9223 2022/07/22 14:03:52 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.0000e-02 eta: 1 day, 4:48:33 time: 0.2244 data_time: 0.0243 memory: 6108 grad_norm: 6.7283 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3981 loss: 4.3981 2022/07/22 14:03:57 - mmengine - INFO - Epoch(train) [1][1620/3757] lr: 1.0000e-02 eta: 1 day, 4:43:53 time: 0.2179 data_time: 0.0159 memory: 6108 grad_norm: 6.6997 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9090 loss: 3.9090 2022/07/22 14:04:01 - mmengine - INFO - Epoch(train) [1][1640/3757] lr: 1.0000e-02 eta: 1 day, 4:39:56 time: 0.2257 data_time: 0.0211 memory: 6108 grad_norm: 6.6192 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0454 loss: 4.0454 2022/07/22 14:04:06 - mmengine - INFO - Epoch(train) [1][1660/3757] lr: 1.0000e-02 eta: 1 day, 4:37:52 time: 0.2497 data_time: 0.0460 memory: 6108 grad_norm: 6.6231 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1395 loss: 4.1395 2022/07/22 14:04:11 - mmengine - INFO - Epoch(train) [1][1680/3757] lr: 1.0000e-02 eta: 1 day, 4:33:55 time: 0.2235 data_time: 0.0198 memory: 6108 grad_norm: 6.7844 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1543 loss: 4.1543 2022/07/22 14:04:15 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.0000e-02 eta: 1 day, 4:31:26 time: 0.2423 data_time: 0.0305 memory: 6108 grad_norm: 6.7503 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.9495 loss: 3.9495 2022/07/22 14:04:20 - mmengine - INFO - Epoch(train) [1][1720/3757] lr: 1.0000e-02 eta: 1 day, 4:27:42 time: 0.2243 data_time: 0.0184 memory: 6108 grad_norm: 6.7611 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0846 loss: 4.0846 2022/07/22 14:04:25 - mmengine - INFO - Epoch(train) [1][1740/3757] lr: 1.0000e-02 eta: 1 day, 4:24:54 time: 0.2363 data_time: 0.0193 memory: 6108 grad_norm: 6.5967 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9831 loss: 3.9831 2022/07/22 14:04:29 - mmengine - INFO - Epoch(train) [1][1760/3757] lr: 1.0000e-02 eta: 1 day, 4:21:34 time: 0.2277 data_time: 0.0210 memory: 6108 grad_norm: 6.5844 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6401 loss: 3.6401 2022/07/22 14:04:34 - mmengine - INFO - Epoch(train) [1][1780/3757] lr: 1.0000e-02 eta: 1 day, 4:19:21 time: 0.2426 data_time: 0.0187 memory: 6108 grad_norm: 6.6786 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8513 loss: 3.8513 2022/07/22 14:04:39 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.0000e-02 eta: 1 day, 4:17:11 time: 0.2427 data_time: 0.0149 memory: 6108 grad_norm: 6.5865 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8606 loss: 3.8606 2022/07/22 14:04:43 - mmengine - INFO - Epoch(train) [1][1820/3757] lr: 1.0000e-02 eta: 1 day, 4:13:42 time: 0.2230 data_time: 0.0183 memory: 6108 grad_norm: 6.6622 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9125 loss: 3.9125 2022/07/22 14:04:53 - mmengine - INFO - Epoch(train) [1][1840/3757] lr: 1.0000e-02 eta: 1 day, 4:27:40 time: 0.4792 data_time: 0.2729 memory: 6108 grad_norm: 6.6356 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8532 loss: 3.8532 2022/07/22 14:04:57 - mmengine - INFO - Epoch(train) [1][1860/3757] lr: 1.0000e-02 eta: 1 day, 4:24:15 time: 0.2245 data_time: 0.0205 memory: 6108 grad_norm: 6.4851 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6812 loss: 3.6812 2022/07/22 14:05:02 - mmengine - INFO - Epoch(train) [1][1880/3757] lr: 1.0000e-02 eta: 1 day, 4:21:44 time: 0.2370 data_time: 0.0218 memory: 6108 grad_norm: 6.5558 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.0360 loss: 4.0360 2022/07/22 14:05:07 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.0000e-02 eta: 1 day, 4:19:25 time: 0.2392 data_time: 0.0201 memory: 6108 grad_norm: 6.5375 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8449 loss: 3.8449 2022/07/22 14:05:12 - mmengine - INFO - Epoch(train) [1][1920/3757] lr: 1.0000e-02 eta: 1 day, 4:18:14 time: 0.2560 data_time: 0.0648 memory: 6108 grad_norm: 6.5682 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9950 loss: 3.9950 2022/07/22 14:05:16 - mmengine - INFO - Epoch(train) [1][1940/3757] lr: 1.0000e-02 eta: 1 day, 4:14:26 time: 0.2149 data_time: 0.0179 memory: 6108 grad_norm: 6.5236 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8573 loss: 3.8573 2022/07/22 14:05:21 - mmengine - INFO - Epoch(train) [1][1960/3757] lr: 1.0000e-02 eta: 1 day, 4:12:09 time: 0.2375 data_time: 0.0304 memory: 6108 grad_norm: 6.6033 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7824 loss: 3.7824 2022/07/22 14:05:26 - mmengine - INFO - Epoch(train) [1][1980/3757] lr: 1.0000e-02 eta: 1 day, 4:09:02 time: 0.2234 data_time: 0.0265 memory: 6108 grad_norm: 6.6466 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9461 loss: 3.9461 2022/07/22 14:05:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:05:30 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.0000e-02 eta: 1 day, 4:05:51 time: 0.2214 data_time: 0.0208 memory: 6108 grad_norm: 6.5454 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1800 loss: 4.1800 2022/07/22 14:05:34 - mmengine - INFO - Epoch(train) [1][2020/3757] lr: 1.0000e-02 eta: 1 day, 4:02:55 time: 0.2248 data_time: 0.0165 memory: 6108 grad_norm: 6.6707 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8390 loss: 3.8390 2022/07/22 14:05:40 - mmengine - INFO - Epoch(train) [1][2040/3757] lr: 1.0000e-02 eta: 1 day, 4:02:16 time: 0.2610 data_time: 0.0243 memory: 6108 grad_norm: 6.7161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7290 loss: 3.7290 2022/07/22 14:05:44 - mmengine - INFO - Epoch(train) [1][2060/3757] lr: 1.0000e-02 eta: 1 day, 3:59:03 time: 0.2183 data_time: 0.0248 memory: 6108 grad_norm: 6.4751 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5654 loss: 3.5654 2022/07/22 14:05:49 - mmengine - INFO - Epoch(train) [1][2080/3757] lr: 1.0000e-02 eta: 1 day, 3:57:36 time: 0.2471 data_time: 0.0152 memory: 6108 grad_norm: 6.6182 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8046 loss: 3.8046 2022/07/22 14:05:53 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.0000e-02 eta: 1 day, 3:54:45 time: 0.2228 data_time: 0.0194 memory: 6108 grad_norm: 6.4298 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7574 loss: 3.7574 2022/07/22 14:05:59 - mmengine - INFO - Epoch(train) [1][2120/3757] lr: 1.0000e-02 eta: 1 day, 3:54:35 time: 0.2675 data_time: 0.0203 memory: 6108 grad_norm: 6.6541 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6142 loss: 3.6142 2022/07/22 14:06:03 - mmengine - INFO - Epoch(train) [1][2140/3757] lr: 1.0000e-02 eta: 1 day, 3:51:43 time: 0.2214 data_time: 0.0150 memory: 6108 grad_norm: 6.5596 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7334 loss: 3.7334 2022/07/22 14:06:08 - mmengine - INFO - Epoch(train) [1][2160/3757] lr: 1.0000e-02 eta: 1 day, 3:49:22 time: 0.2291 data_time: 0.0190 memory: 6108 grad_norm: 6.5984 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7770 loss: 3.7770 2022/07/22 14:06:12 - mmengine - INFO - Epoch(train) [1][2180/3757] lr: 1.0000e-02 eta: 1 day, 3:46:23 time: 0.2176 data_time: 0.0225 memory: 6108 grad_norm: 6.4647 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6290 loss: 3.6290 2022/07/22 14:06:17 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.0000e-02 eta: 1 day, 3:44:08 time: 0.2295 data_time: 0.0174 memory: 6108 grad_norm: 6.3948 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5511 loss: 3.5511 2022/07/22 14:06:22 - mmengine - INFO - Epoch(train) [1][2220/3757] lr: 1.0000e-02 eta: 1 day, 3:42:52 time: 0.2464 data_time: 0.0172 memory: 6108 grad_norm: 6.3770 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0523 loss: 4.0523 2022/07/22 14:06:26 - mmengine - INFO - Epoch(train) [1][2240/3757] lr: 1.0000e-02 eta: 1 day, 3:40:33 time: 0.2271 data_time: 0.0180 memory: 6108 grad_norm: 6.4431 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7259 loss: 3.7259 2022/07/22 14:06:31 - mmengine - INFO - Epoch(train) [1][2260/3757] lr: 1.0000e-02 eta: 1 day, 3:38:03 time: 0.2227 data_time: 0.0213 memory: 6108 grad_norm: 6.6775 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6407 loss: 3.6407 2022/07/22 14:06:35 - mmengine - INFO - Epoch(train) [1][2280/3757] lr: 1.0000e-02 eta: 1 day, 3:35:49 time: 0.2274 data_time: 0.0218 memory: 6108 grad_norm: 6.6480 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8359 loss: 3.8359 2022/07/22 14:06:40 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.0000e-02 eta: 1 day, 3:35:24 time: 0.2597 data_time: 0.0160 memory: 6108 grad_norm: 6.5666 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6835 loss: 3.6835 2022/07/22 14:06:45 - mmengine - INFO - Epoch(train) [1][2320/3757] lr: 1.0000e-02 eta: 1 day, 3:32:49 time: 0.2197 data_time: 0.0197 memory: 6108 grad_norm: 6.6369 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5389 loss: 3.5389 2022/07/22 14:06:50 - mmengine - INFO - Epoch(train) [1][2340/3757] lr: 1.0000e-02 eta: 1 day, 3:31:57 time: 0.2511 data_time: 0.0289 memory: 6108 grad_norm: 6.5778 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8179 loss: 3.8179 2022/07/22 14:06:54 - mmengine - INFO - Epoch(train) [1][2360/3757] lr: 1.0000e-02 eta: 1 day, 3:29:26 time: 0.2193 data_time: 0.0176 memory: 6108 grad_norm: 6.5264 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4542 loss: 3.4542 2022/07/22 14:06:59 - mmengine - INFO - Epoch(train) [1][2380/3757] lr: 1.0000e-02 eta: 1 day, 3:27:56 time: 0.2380 data_time: 0.0166 memory: 6108 grad_norm: 6.6059 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9607 loss: 3.9607 2022/07/22 14:07:03 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.0000e-02 eta: 1 day, 3:25:27 time: 0.2187 data_time: 0.0209 memory: 6108 grad_norm: 6.3885 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9254 loss: 3.9254 2022/07/22 14:07:08 - mmengine - INFO - Epoch(train) [1][2420/3757] lr: 1.0000e-02 eta: 1 day, 3:23:43 time: 0.2326 data_time: 0.0188 memory: 6108 grad_norm: 6.6453 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6552 loss: 3.6552 2022/07/22 14:07:12 - mmengine - INFO - Epoch(train) [1][2440/3757] lr: 1.0000e-02 eta: 1 day, 3:21:19 time: 0.2190 data_time: 0.0162 memory: 6108 grad_norm: 6.6536 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.8829 loss: 3.8829 2022/07/22 14:07:17 - mmengine - INFO - Epoch(train) [1][2460/3757] lr: 1.0000e-02 eta: 1 day, 3:19:21 time: 0.2266 data_time: 0.0209 memory: 6108 grad_norm: 6.5477 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7891 loss: 3.7891 2022/07/22 14:07:22 - mmengine - INFO - Epoch(train) [1][2480/3757] lr: 1.0000e-02 eta: 1 day, 3:17:32 time: 0.2290 data_time: 0.0206 memory: 6108 grad_norm: 6.4681 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8926 loss: 3.8926 2022/07/22 14:07:26 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.0000e-02 eta: 1 day, 3:15:39 time: 0.2271 data_time: 0.0193 memory: 6108 grad_norm: 6.5240 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7619 loss: 3.7619 2022/07/22 14:07:31 - mmengine - INFO - Epoch(train) [1][2520/3757] lr: 1.0000e-02 eta: 1 day, 3:14:35 time: 0.2433 data_time: 0.0213 memory: 6108 grad_norm: 6.5406 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6197 loss: 3.6197 2022/07/22 14:07:36 - mmengine - INFO - Epoch(train) [1][2540/3757] lr: 1.0000e-02 eta: 1 day, 3:13:27 time: 0.2415 data_time: 0.0213 memory: 6108 grad_norm: 6.4752 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7622 loss: 3.7622 2022/07/22 14:07:40 - mmengine - INFO - Epoch(train) [1][2560/3757] lr: 1.0000e-02 eta: 1 day, 3:12:02 time: 0.2351 data_time: 0.0178 memory: 6108 grad_norm: 6.5928 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8879 loss: 3.8879 2022/07/22 14:07:45 - mmengine - INFO - Epoch(train) [1][2580/3757] lr: 1.0000e-02 eta: 1 day, 3:10:34 time: 0.2340 data_time: 0.0194 memory: 6108 grad_norm: 6.4778 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8694 loss: 3.8694 2022/07/22 14:07:50 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.0000e-02 eta: 1 day, 3:08:48 time: 0.2271 data_time: 0.0239 memory: 6108 grad_norm: 6.5556 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8689 loss: 3.8689 2022/07/22 14:07:54 - mmengine - INFO - Epoch(train) [1][2620/3757] lr: 1.0000e-02 eta: 1 day, 3:07:19 time: 0.2324 data_time: 0.0356 memory: 6108 grad_norm: 6.4856 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4436 loss: 3.4436 2022/07/22 14:07:59 - mmengine - INFO - Epoch(train) [1][2640/3757] lr: 1.0000e-02 eta: 1 day, 3:05:33 time: 0.2263 data_time: 0.0241 memory: 6108 grad_norm: 6.4796 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7047 loss: 3.7047 2022/07/22 14:08:04 - mmengine - INFO - Epoch(train) [1][2660/3757] lr: 1.0000e-02 eta: 1 day, 3:04:17 time: 0.2362 data_time: 0.0187 memory: 6108 grad_norm: 6.5394 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8618 loss: 3.8618 2022/07/22 14:08:08 - mmengine - INFO - Epoch(train) [1][2680/3757] lr: 1.0000e-02 eta: 1 day, 3:03:13 time: 0.2400 data_time: 0.0196 memory: 6108 grad_norm: 6.4551 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4897 loss: 3.4897 2022/07/22 14:08:13 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.0000e-02 eta: 1 day, 3:01:07 time: 0.2174 data_time: 0.0192 memory: 6108 grad_norm: 6.5442 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7273 loss: 3.7273 2022/07/22 14:08:17 - mmengine - INFO - Epoch(train) [1][2720/3757] lr: 1.0000e-02 eta: 1 day, 2:59:14 time: 0.2217 data_time: 0.0172 memory: 6108 grad_norm: 6.3272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5109 loss: 3.5109 2022/07/22 14:08:22 - mmengine - INFO - Epoch(train) [1][2740/3757] lr: 1.0000e-02 eta: 1 day, 2:58:08 time: 0.2381 data_time: 0.0210 memory: 6108 grad_norm: 6.4246 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6371 loss: 3.6371 2022/07/22 14:08:26 - mmengine - INFO - Epoch(train) [1][2760/3757] lr: 1.0000e-02 eta: 1 day, 2:56:30 time: 0.2257 data_time: 0.0197 memory: 6108 grad_norm: 6.6375 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6780 loss: 3.6780 2022/07/22 14:08:31 - mmengine - INFO - Epoch(train) [1][2780/3757] lr: 1.0000e-02 eta: 1 day, 2:55:19 time: 0.2355 data_time: 0.0199 memory: 6108 grad_norm: 6.6190 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9648 loss: 3.9648 2022/07/22 14:08:36 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.0000e-02 eta: 1 day, 2:54:11 time: 0.2363 data_time: 0.0202 memory: 6108 grad_norm: 6.5686 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.6758 loss: 3.6758 2022/07/22 14:08:40 - mmengine - INFO - Epoch(train) [1][2820/3757] lr: 1.0000e-02 eta: 1 day, 2:52:43 time: 0.2284 data_time: 0.0198 memory: 6108 grad_norm: 6.6026 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7132 loss: 3.7132 2022/07/22 14:08:45 - mmengine - INFO - Epoch(train) [1][2840/3757] lr: 1.0000e-02 eta: 1 day, 2:51:02 time: 0.2232 data_time: 0.0232 memory: 6108 grad_norm: 6.6644 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7900 loss: 3.7900 2022/07/22 14:08:50 - mmengine - INFO - Epoch(train) [1][2860/3757] lr: 1.0000e-02 eta: 1 day, 2:50:02 time: 0.2380 data_time: 0.0212 memory: 6108 grad_norm: 6.4524 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6859 loss: 3.6859 2022/07/22 14:08:54 - mmengine - INFO - Epoch(train) [1][2880/3757] lr: 1.0000e-02 eta: 1 day, 2:48:24 time: 0.2233 data_time: 0.0257 memory: 6108 grad_norm: 6.7306 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5832 loss: 3.5832 2022/07/22 14:08:59 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.0000e-02 eta: 1 day, 2:48:13 time: 0.2567 data_time: 0.0214 memory: 6108 grad_norm: 6.6379 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5954 loss: 3.5954 2022/07/22 14:09:04 - mmengine - INFO - Epoch(train) [1][2920/3757] lr: 1.0000e-02 eta: 1 day, 2:46:36 time: 0.2231 data_time: 0.0202 memory: 6108 grad_norm: 6.6362 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3864 loss: 3.3864 2022/07/22 14:09:09 - mmengine - INFO - Epoch(train) [1][2940/3757] lr: 1.0000e-02 eta: 1 day, 2:46:16 time: 0.2527 data_time: 0.0185 memory: 6108 grad_norm: 6.6169 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5977 loss: 3.5977 2022/07/22 14:09:13 - mmengine - INFO - Epoch(train) [1][2960/3757] lr: 1.0000e-02 eta: 1 day, 2:44:27 time: 0.2172 data_time: 0.0194 memory: 6108 grad_norm: 6.5956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.7062 loss: 3.7062 2022/07/22 14:09:18 - mmengine - INFO - Epoch(train) [1][2980/3757] lr: 1.0000e-02 eta: 1 day, 2:43:50 time: 0.2456 data_time: 0.0177 memory: 6108 grad_norm: 6.6741 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8950 loss: 3.8950 2022/07/22 14:09:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:09:23 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.0000e-02 eta: 1 day, 2:42:25 time: 0.2261 data_time: 0.0237 memory: 6108 grad_norm: 6.5276 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4285 loss: 3.4285 2022/07/22 14:09:27 - mmengine - INFO - Epoch(train) [1][3020/3757] lr: 1.0000e-02 eta: 1 day, 2:41:23 time: 0.2350 data_time: 0.0173 memory: 6108 grad_norm: 6.4113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7009 loss: 3.7009 2022/07/22 14:09:32 - mmengine - INFO - Epoch(train) [1][3040/3757] lr: 1.0000e-02 eta: 1 day, 2:40:31 time: 0.2385 data_time: 0.0218 memory: 6108 grad_norm: 6.4712 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.7762 loss: 3.7762 2022/07/22 14:09:37 - mmengine - INFO - Epoch(train) [1][3060/3757] lr: 1.0000e-02 eta: 1 day, 2:40:04 time: 0.2487 data_time: 0.0200 memory: 6108 grad_norm: 6.5450 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.5707 loss: 3.5707 2022/07/22 14:09:42 - mmengine - INFO - Epoch(train) [1][3080/3757] lr: 1.0000e-02 eta: 1 day, 2:38:58 time: 0.2324 data_time: 0.0197 memory: 6108 grad_norm: 6.4601 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4603 loss: 3.4603 2022/07/22 14:09:46 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.0000e-02 eta: 1 day, 2:37:30 time: 0.2231 data_time: 0.0167 memory: 6108 grad_norm: 6.5017 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4321 loss: 3.4321 2022/07/22 14:09:51 - mmengine - INFO - Epoch(train) [1][3120/3757] lr: 1.0000e-02 eta: 1 day, 2:36:17 time: 0.2290 data_time: 0.0240 memory: 6108 grad_norm: 6.5399 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6166 loss: 3.6166 2022/07/22 14:09:55 - mmengine - INFO - Epoch(train) [1][3140/3757] lr: 1.0000e-02 eta: 1 day, 2:34:53 time: 0.2237 data_time: 0.0181 memory: 6108 grad_norm: 6.3217 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4052 loss: 3.4052 2022/07/22 14:10:00 - mmengine - INFO - Epoch(train) [1][3160/3757] lr: 1.0000e-02 eta: 1 day, 2:34:55 time: 0.2598 data_time: 0.0207 memory: 6108 grad_norm: 6.3754 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7439 loss: 3.7439 2022/07/22 14:10:05 - mmengine - INFO - Epoch(train) [1][3180/3757] lr: 1.0000e-02 eta: 1 day, 2:33:19 time: 0.2183 data_time: 0.0212 memory: 6108 grad_norm: 6.4866 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7531 loss: 3.7531 2022/07/22 14:10:10 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.0000e-02 eta: 1 day, 2:32:54 time: 0.2480 data_time: 0.0230 memory: 6108 grad_norm: 6.4680 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9683 loss: 3.9683 2022/07/22 14:10:14 - mmengine - INFO - Epoch(train) [1][3220/3757] lr: 1.0000e-02 eta: 1 day, 2:31:57 time: 0.2343 data_time: 0.0220 memory: 6108 grad_norm: 6.4110 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9718 loss: 3.9718 2022/07/22 14:10:19 - mmengine - INFO - Epoch(train) [1][3240/3757] lr: 1.0000e-02 eta: 1 day, 2:31:15 time: 0.2404 data_time: 0.0186 memory: 6108 grad_norm: 6.4481 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3801 loss: 3.3801 2022/07/22 14:10:24 - mmengine - INFO - Epoch(train) [1][3260/3757] lr: 1.0000e-02 eta: 1 day, 2:29:45 time: 0.2193 data_time: 0.0191 memory: 6108 grad_norm: 6.5099 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4907 loss: 3.4907 2022/07/22 14:10:28 - mmengine - INFO - Epoch(train) [1][3280/3757] lr: 1.0000e-02 eta: 1 day, 2:29:06 time: 0.2410 data_time: 0.0182 memory: 6108 grad_norm: 6.5458 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6481 loss: 3.6481 2022/07/22 14:10:33 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.0000e-02 eta: 1 day, 2:27:40 time: 0.2200 data_time: 0.0297 memory: 6108 grad_norm: 6.6325 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8549 loss: 3.8549 2022/07/22 14:10:37 - mmengine - INFO - Epoch(train) [1][3320/3757] lr: 1.0000e-02 eta: 1 day, 2:26:04 time: 0.2156 data_time: 0.0185 memory: 6108 grad_norm: 6.4487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4991 loss: 3.4991 2022/07/22 14:10:42 - mmengine - INFO - Epoch(train) [1][3340/3757] lr: 1.0000e-02 eta: 1 day, 2:25:19 time: 0.2377 data_time: 0.0182 memory: 6108 grad_norm: 6.3566 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4792 loss: 3.4792 2022/07/22 14:10:47 - mmengine - INFO - Epoch(train) [1][3360/3757] lr: 1.0000e-02 eta: 1 day, 2:24:43 time: 0.2414 data_time: 0.0231 memory: 6108 grad_norm: 6.5827 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3583 loss: 3.3583 2022/07/22 14:10:51 - mmengine - INFO - Epoch(train) [1][3380/3757] lr: 1.0000e-02 eta: 1 day, 2:24:01 time: 0.2386 data_time: 0.0202 memory: 6108 grad_norm: 6.5231 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3733 loss: 3.3733 2022/07/22 14:10:56 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.0000e-02 eta: 1 day, 2:22:49 time: 0.2249 data_time: 0.0163 memory: 6108 grad_norm: 6.4893 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5671 loss: 3.5671 2022/07/22 14:11:01 - mmengine - INFO - Epoch(train) [1][3420/3757] lr: 1.0000e-02 eta: 1 day, 2:21:53 time: 0.2314 data_time: 0.0201 memory: 6108 grad_norm: 6.6489 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6283 loss: 3.6283 2022/07/22 14:11:05 - mmengine - INFO - Epoch(train) [1][3440/3757] lr: 1.0000e-02 eta: 1 day, 2:20:36 time: 0.2219 data_time: 0.0197 memory: 6108 grad_norm: 6.3872 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4841 loss: 3.4841 2022/07/22 14:11:10 - mmengine - INFO - Epoch(train) [1][3460/3757] lr: 1.0000e-02 eta: 1 day, 2:20:16 time: 0.2478 data_time: 0.0271 memory: 6108 grad_norm: 6.2908 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3317 loss: 3.3317 2022/07/22 14:11:15 - mmengine - INFO - Epoch(train) [1][3480/3757] lr: 1.0000e-02 eta: 1 day, 2:19:20 time: 0.2311 data_time: 0.0209 memory: 6108 grad_norm: 6.3906 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5964 loss: 3.5964 2022/07/22 14:11:19 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.0000e-02 eta: 1 day, 2:18:10 time: 0.2238 data_time: 0.0184 memory: 6108 grad_norm: 6.4479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1985 loss: 3.1985 2022/07/22 14:11:23 - mmengine - INFO - Epoch(train) [1][3520/3757] lr: 1.0000e-02 eta: 1 day, 2:16:52 time: 0.2200 data_time: 0.0166 memory: 6108 grad_norm: 6.5235 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4776 loss: 3.4776 2022/07/22 14:11:28 - mmengine - INFO - Epoch(train) [1][3540/3757] lr: 1.0000e-02 eta: 1 day, 2:16:08 time: 0.2355 data_time: 0.0262 memory: 6108 grad_norm: 6.4514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.5215 loss: 3.5215 2022/07/22 14:11:33 - mmengine - INFO - Epoch(train) [1][3560/3757] lr: 1.0000e-02 eta: 1 day, 2:16:06 time: 0.2559 data_time: 0.0174 memory: 6108 grad_norm: 6.4484 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2811 loss: 3.2811 2022/07/22 14:11:38 - mmengine - INFO - Epoch(train) [1][3580/3757] lr: 1.0000e-02 eta: 1 day, 2:14:59 time: 0.2241 data_time: 0.0185 memory: 6108 grad_norm: 6.2659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4351 loss: 3.4351 2022/07/22 14:11:42 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.0000e-02 eta: 1 day, 2:13:58 time: 0.2271 data_time: 0.0204 memory: 6108 grad_norm: 6.3066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4940 loss: 3.4940 2022/07/22 14:11:48 - mmengine - INFO - Epoch(train) [1][3620/3757] lr: 1.0000e-02 eta: 1 day, 2:14:05 time: 0.2593 data_time: 0.0155 memory: 6108 grad_norm: 6.3690 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5326 loss: 3.5326 2022/07/22 14:11:52 - mmengine - INFO - Epoch(train) [1][3640/3757] lr: 1.0000e-02 eta: 1 day, 2:12:51 time: 0.2202 data_time: 0.0173 memory: 6108 grad_norm: 6.3909 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5979 loss: 3.5979 2022/07/22 14:11:57 - mmengine - INFO - Epoch(train) [1][3660/3757] lr: 1.0000e-02 eta: 1 day, 2:11:54 time: 0.2281 data_time: 0.0281 memory: 6108 grad_norm: 6.2779 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5161 loss: 3.5161 2022/07/22 14:12:01 - mmengine - INFO - Epoch(train) [1][3680/3757] lr: 1.0000e-02 eta: 1 day, 2:11:19 time: 0.2388 data_time: 0.0231 memory: 6108 grad_norm: 6.2573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4548 loss: 3.4548 2022/07/22 14:12:06 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.0000e-02 eta: 1 day, 2:10:11 time: 0.2223 data_time: 0.0151 memory: 6108 grad_norm: 6.4858 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4905 loss: 3.4905 2022/07/22 14:12:11 - mmengine - INFO - Epoch(train) [1][3720/3757] lr: 1.0000e-02 eta: 1 day, 2:09:38 time: 0.2394 data_time: 0.0281 memory: 6108 grad_norm: 6.4298 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2993 loss: 3.2993 2022/07/22 14:12:15 - mmengine - INFO - Epoch(train) [1][3740/3757] lr: 1.0000e-02 eta: 1 day, 2:08:31 time: 0.2216 data_time: 0.0180 memory: 6108 grad_norm: 6.3353 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5896 loss: 3.5896 2022/07/22 14:12:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:12:18 - mmengine - INFO - Epoch(train) [1][3757/3757] lr: 1.0000e-02 eta: 1 day, 2:08:31 time: 0.1945 data_time: 0.0132 memory: 6108 grad_norm: 6.4832 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.3225 loss: 3.3225 2022/07/22 14:13:22 - mmengine - INFO - Epoch(val) [1][20/310] eta: 0:15:31 time: 3.2125 data_time: 3.1213 memory: 1428 2022/07/22 14:13:26 - mmengine - INFO - Epoch(val) [1][40/310] eta: 0:00:51 time: 0.1920 data_time: 0.1171 memory: 1428 2022/07/22 14:13:31 - mmengine - INFO - Epoch(val) [1][60/310] eta: 0:00:58 time: 0.2321 data_time: 0.1545 memory: 1428 2022/07/22 14:13:35 - mmengine - INFO - Epoch(val) [1][80/310] eta: 0:00:48 time: 0.2117 data_time: 0.1372 memory: 1428 2022/07/22 14:13:40 - mmengine - INFO - Epoch(val) [1][100/310] eta: 0:00:46 time: 0.2228 data_time: 0.1493 memory: 1428 2022/07/22 14:13:43 - mmengine - INFO - Epoch(val) [1][120/310] eta: 0:00:34 time: 0.1826 data_time: 0.1071 memory: 1428 2022/07/22 14:13:49 - mmengine - INFO - Epoch(val) [1][140/310] eta: 0:00:45 time: 0.2668 data_time: 0.1939 memory: 1428 2022/07/22 14:13:52 - mmengine - INFO - Epoch(val) [1][160/310] eta: 0:00:27 time: 0.1858 data_time: 0.1123 memory: 1428 2022/07/22 14:13:57 - mmengine - INFO - Epoch(val) [1][180/310] eta: 0:00:33 time: 0.2548 data_time: 0.1824 memory: 1428 2022/07/22 14:14:01 - mmengine - INFO - Epoch(val) [1][200/310] eta: 0:00:19 time: 0.1755 data_time: 0.1026 memory: 1428 2022/07/22 14:14:05 - mmengine - INFO - Epoch(val) [1][220/310] eta: 0:00:19 time: 0.2203 data_time: 0.1443 memory: 1428 2022/07/22 14:14:09 - mmengine - INFO - Epoch(val) [1][240/310] eta: 0:00:13 time: 0.1925 data_time: 0.1161 memory: 1428 2022/07/22 14:14:14 - mmengine - INFO - Epoch(val) [1][260/310] eta: 0:00:11 time: 0.2323 data_time: 0.1555 memory: 1428 2022/07/22 14:14:18 - mmengine - INFO - Epoch(val) [1][280/310] eta: 0:00:05 time: 0.1954 data_time: 0.1180 memory: 1428 2022/07/22 14:14:22 - mmengine - INFO - Epoch(val) [1][300/310] eta: 0:00:02 time: 0.2102 data_time: 0.1388 memory: 1428 2022/07/22 14:14:25 - mmengine - INFO - Epoch(val) [1][310/310] acc/top1: 0.2855 acc/top5: 0.5590 acc/mean1: 0.2852 2022/07/22 14:14:28 - mmengine - INFO - The best checkpoint with 0.2855 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/07/22 14:14:34 - mmengine - INFO - Epoch(train) [2][20/3757] lr: 1.0000e-02 eta: 1 day, 2:02:40 time: 0.2950 data_time: 0.1133 memory: 6108 grad_norm: 6.3453 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4139 loss: 3.4139 2022/07/22 14:14:38 - mmengine - INFO - Epoch(train) [2][40/3757] lr: 1.0000e-02 eta: 1 day, 2:01:35 time: 0.2213 data_time: 0.0162 memory: 6108 grad_norm: 6.2600 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6349 loss: 3.6349 2022/07/22 14:14:43 - mmengine - INFO - Epoch(train) [2][60/3757] lr: 1.0000e-02 eta: 1 day, 2:00:35 time: 0.2236 data_time: 0.0233 memory: 6108 grad_norm: 6.5073 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3766 loss: 3.3766 2022/07/22 14:14:47 - mmengine - INFO - Epoch(train) [2][80/3757] lr: 1.0000e-02 eta: 1 day, 1:59:33 time: 0.2225 data_time: 0.0197 memory: 6108 grad_norm: 6.3540 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6463 loss: 3.6463 2022/07/22 14:14:51 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.0000e-02 eta: 1 day, 1:58:24 time: 0.2184 data_time: 0.0204 memory: 6108 grad_norm: 6.3565 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5573 loss: 3.5573 2022/07/22 14:14:57 - mmengine - INFO - Epoch(train) [2][120/3757] lr: 1.0000e-02 eta: 1 day, 1:58:33 time: 0.2590 data_time: 0.0177 memory: 6108 grad_norm: 6.4128 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2849 loss: 3.2849 2022/07/22 14:15:01 - mmengine - INFO - Epoch(train) [2][140/3757] lr: 1.0000e-02 eta: 1 day, 1:57:45 time: 0.2289 data_time: 0.0178 memory: 6108 grad_norm: 6.4449 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6723 loss: 3.6723 2022/07/22 14:15:06 - mmengine - INFO - Epoch(train) [2][160/3757] lr: 1.0000e-02 eta: 1 day, 1:57:16 time: 0.2389 data_time: 0.0303 memory: 6108 grad_norm: 6.4388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2140 loss: 3.2140 2022/07/22 14:15:11 - mmengine - INFO - Epoch(train) [2][180/3757] lr: 1.0000e-02 eta: 1 day, 1:56:48 time: 0.2387 data_time: 0.0442 memory: 6108 grad_norm: 6.3679 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4706 loss: 3.4706 2022/07/22 14:15:15 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.0000e-02 eta: 1 day, 1:56:03 time: 0.2302 data_time: 0.0146 memory: 6108 grad_norm: 6.5149 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3494 loss: 3.3494 2022/07/22 14:15:20 - mmengine - INFO - Epoch(train) [2][220/3757] lr: 1.0000e-02 eta: 1 day, 1:55:16 time: 0.2289 data_time: 0.0204 memory: 6108 grad_norm: 6.3437 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2991 loss: 3.2991 2022/07/22 14:15:24 - mmengine - INFO - Epoch(train) [2][240/3757] lr: 1.0000e-02 eta: 1 day, 1:54:24 time: 0.2257 data_time: 0.0224 memory: 6108 grad_norm: 6.3445 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3094 loss: 3.3094 2022/07/22 14:15:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:15:29 - mmengine - INFO - Epoch(train) [2][260/3757] lr: 1.0000e-02 eta: 1 day, 1:53:22 time: 0.2200 data_time: 0.0178 memory: 6108 grad_norm: 6.5141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4371 loss: 3.4371 2022/07/22 14:15:33 - mmengine - INFO - Epoch(train) [2][280/3757] lr: 1.0000e-02 eta: 1 day, 1:52:19 time: 0.2191 data_time: 0.0189 memory: 6108 grad_norm: 6.2847 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2919 loss: 3.2919 2022/07/22 14:15:38 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.0000e-02 eta: 1 day, 1:52:17 time: 0.2527 data_time: 0.0214 memory: 6108 grad_norm: 6.2730 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3889 loss: 3.3889 2022/07/22 14:15:43 - mmengine - INFO - Epoch(train) [2][320/3757] lr: 1.0000e-02 eta: 1 day, 1:51:24 time: 0.2238 data_time: 0.0168 memory: 6108 grad_norm: 6.3488 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4675 loss: 3.4675 2022/07/22 14:15:49 - mmengine - INFO - Epoch(train) [2][340/3757] lr: 1.0000e-02 eta: 1 day, 1:53:11 time: 0.3123 data_time: 0.0777 memory: 6108 grad_norm: 6.5405 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.6138 loss: 3.6138 2022/07/22 14:15:53 - mmengine - INFO - Epoch(train) [2][360/3757] lr: 1.0000e-02 eta: 1 day, 1:52:04 time: 0.2166 data_time: 0.0170 memory: 6108 grad_norm: 6.3740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4722 loss: 3.4722 2022/07/22 14:15:58 - mmengine - INFO - Epoch(train) [2][380/3757] lr: 1.0000e-02 eta: 1 day, 1:51:39 time: 0.2397 data_time: 0.0233 memory: 6108 grad_norm: 6.3962 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3709 loss: 3.3709 2022/07/22 14:16:03 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.0000e-02 eta: 1 day, 1:50:59 time: 0.2308 data_time: 0.0193 memory: 6108 grad_norm: 6.4380 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3340 loss: 3.3340 2022/07/22 14:16:07 - mmengine - INFO - Epoch(train) [2][420/3757] lr: 1.0000e-02 eta: 1 day, 1:50:09 time: 0.2252 data_time: 0.0229 memory: 6108 grad_norm: 6.4891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3950 loss: 3.3950 2022/07/22 14:16:12 - mmengine - INFO - Epoch(train) [2][440/3757] lr: 1.0000e-02 eta: 1 day, 1:49:16 time: 0.2234 data_time: 0.0192 memory: 6108 grad_norm: 6.3548 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5375 loss: 3.5375 2022/07/22 14:16:16 - mmengine - INFO - Epoch(train) [2][460/3757] lr: 1.0000e-02 eta: 1 day, 1:48:57 time: 0.2419 data_time: 0.0184 memory: 6108 grad_norm: 6.5395 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4620 loss: 3.4620 2022/07/22 14:16:21 - mmengine - INFO - Epoch(train) [2][480/3757] lr: 1.0000e-02 eta: 1 day, 1:48:35 time: 0.2408 data_time: 0.0218 memory: 6108 grad_norm: 6.4401 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4022 loss: 3.4022 2022/07/22 14:16:26 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.0000e-02 eta: 1 day, 1:48:04 time: 0.2351 data_time: 0.0194 memory: 6108 grad_norm: 6.3205 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4717 loss: 3.4717 2022/07/22 14:16:31 - mmengine - INFO - Epoch(train) [2][520/3757] lr: 1.0000e-02 eta: 1 day, 1:47:45 time: 0.2418 data_time: 0.0243 memory: 6108 grad_norm: 6.4539 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6249 loss: 3.6249 2022/07/22 14:16:36 - mmengine - INFO - Epoch(train) [2][540/3757] lr: 1.0000e-02 eta: 1 day, 1:47:17 time: 0.2371 data_time: 0.0214 memory: 6108 grad_norm: 6.3558 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3792 loss: 3.3792 2022/07/22 14:16:41 - mmengine - INFO - Epoch(train) [2][560/3757] lr: 1.0000e-02 eta: 1 day, 1:47:05 time: 0.2458 data_time: 0.0203 memory: 6108 grad_norm: 6.1863 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.6301 loss: 3.6301 2022/07/22 14:16:45 - mmengine - INFO - Epoch(train) [2][580/3757] lr: 1.0000e-02 eta: 1 day, 1:46:06 time: 0.2185 data_time: 0.0160 memory: 6108 grad_norm: 6.3973 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6368 loss: 3.6368 2022/07/22 14:16:50 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.0000e-02 eta: 1 day, 1:45:56 time: 0.2464 data_time: 0.0239 memory: 6108 grad_norm: 6.2955 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4836 loss: 3.4836 2022/07/22 14:16:54 - mmengine - INFO - Epoch(train) [2][620/3757] lr: 1.0000e-02 eta: 1 day, 1:45:22 time: 0.2328 data_time: 0.0212 memory: 6108 grad_norm: 6.3479 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5836 loss: 3.5836 2022/07/22 14:16:59 - mmengine - INFO - Epoch(train) [2][640/3757] lr: 1.0000e-02 eta: 1 day, 1:44:36 time: 0.2258 data_time: 0.0206 memory: 6108 grad_norm: 6.1554 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4397 loss: 3.4397 2022/07/22 14:17:04 - mmengine - INFO - Epoch(train) [2][660/3757] lr: 1.0000e-02 eta: 1 day, 1:44:08 time: 0.2355 data_time: 0.0262 memory: 6108 grad_norm: 6.4800 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3932 loss: 3.3932 2022/07/22 14:17:08 - mmengine - INFO - Epoch(train) [2][680/3757] lr: 1.0000e-02 eta: 1 day, 1:43:20 time: 0.2242 data_time: 0.0187 memory: 6108 grad_norm: 6.3972 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2676 loss: 3.2676 2022/07/22 14:17:13 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.0000e-02 eta: 1 day, 1:42:32 time: 0.2230 data_time: 0.0204 memory: 6108 grad_norm: 6.4504 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7287 loss: 3.7287 2022/07/22 14:17:17 - mmengine - INFO - Epoch(train) [2][720/3757] lr: 1.0000e-02 eta: 1 day, 1:41:48 time: 0.2262 data_time: 0.0198 memory: 6108 grad_norm: 6.3007 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5810 loss: 3.5810 2022/07/22 14:17:22 - mmengine - INFO - Epoch(train) [2][740/3757] lr: 1.0000e-02 eta: 1 day, 1:41:30 time: 0.2411 data_time: 0.0236 memory: 6108 grad_norm: 6.3947 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2879 loss: 3.2879 2022/07/22 14:17:27 - mmengine - INFO - Epoch(train) [2][760/3757] lr: 1.0000e-02 eta: 1 day, 1:41:06 time: 0.2379 data_time: 0.0191 memory: 6108 grad_norm: 6.3953 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3656 loss: 3.3656 2022/07/22 14:17:31 - mmengine - INFO - Epoch(train) [2][780/3757] lr: 1.0000e-02 eta: 1 day, 1:40:39 time: 0.2352 data_time: 0.0212 memory: 6108 grad_norm: 6.4908 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3089 loss: 3.3089 2022/07/22 14:17:36 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.0000e-02 eta: 1 day, 1:39:47 time: 0.2204 data_time: 0.0214 memory: 6108 grad_norm: 6.3119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2805 loss: 3.2805 2022/07/22 14:17:41 - mmengine - INFO - Epoch(train) [2][820/3757] lr: 1.0000e-02 eta: 1 day, 1:39:30 time: 0.2417 data_time: 0.0184 memory: 6108 grad_norm: 6.4247 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3864 loss: 3.3864 2022/07/22 14:17:46 - mmengine - INFO - Epoch(train) [2][840/3757] lr: 1.0000e-02 eta: 1 day, 1:39:23 time: 0.2472 data_time: 0.0210 memory: 6108 grad_norm: 6.3462 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5743 loss: 3.5743 2022/07/22 14:17:50 - mmengine - INFO - Epoch(train) [2][860/3757] lr: 1.0000e-02 eta: 1 day, 1:38:38 time: 0.2245 data_time: 0.0201 memory: 6108 grad_norm: 6.2420 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4890 loss: 3.4890 2022/07/22 14:17:55 - mmengine - INFO - Epoch(train) [2][880/3757] lr: 1.0000e-02 eta: 1 day, 1:37:58 time: 0.2266 data_time: 0.0274 memory: 6108 grad_norm: 6.3229 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5720 loss: 3.5720 2022/07/22 14:17:59 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.0000e-02 eta: 1 day, 1:37:28 time: 0.2328 data_time: 0.0219 memory: 6108 grad_norm: 6.3377 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6685 loss: 3.6685 2022/07/22 14:18:04 - mmengine - INFO - Epoch(train) [2][920/3757] lr: 1.0000e-02 eta: 1 day, 1:36:45 time: 0.2248 data_time: 0.0214 memory: 6108 grad_norm: 6.5523 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6257 loss: 3.6257 2022/07/22 14:18:09 - mmengine - INFO - Epoch(train) [2][940/3757] lr: 1.0000e-02 eta: 1 day, 1:36:24 time: 0.2382 data_time: 0.0175 memory: 6108 grad_norm: 6.1825 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1116 loss: 3.1116 2022/07/22 14:18:13 - mmengine - INFO - Epoch(train) [2][960/3757] lr: 1.0000e-02 eta: 1 day, 1:35:47 time: 0.2283 data_time: 0.0233 memory: 6108 grad_norm: 6.2854 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6785 loss: 3.6785 2022/07/22 14:18:18 - mmengine - INFO - Epoch(train) [2][980/3757] lr: 1.0000e-02 eta: 1 day, 1:35:28 time: 0.2395 data_time: 0.0191 memory: 6108 grad_norm: 6.2422 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2270 loss: 3.2270 2022/07/22 14:18:23 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.0000e-02 eta: 1 day, 1:35:01 time: 0.2342 data_time: 0.0243 memory: 6108 grad_norm: 6.4783 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5720 loss: 3.5720 2022/07/22 14:18:27 - mmengine - INFO - Epoch(train) [2][1020/3757] lr: 1.0000e-02 eta: 1 day, 1:34:34 time: 0.2341 data_time: 0.0212 memory: 6108 grad_norm: 6.3096 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3646 loss: 3.3646 2022/07/22 14:18:32 - mmengine - INFO - Epoch(train) [2][1040/3757] lr: 1.0000e-02 eta: 1 day, 1:33:50 time: 0.2229 data_time: 0.0194 memory: 6108 grad_norm: 6.2281 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4717 loss: 3.4717 2022/07/22 14:18:36 - mmengine - INFO - Epoch(train) [2][1060/3757] lr: 1.0000e-02 eta: 1 day, 1:33:25 time: 0.2353 data_time: 0.0231 memory: 6108 grad_norm: 6.2311 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2833 loss: 3.2833 2022/07/22 14:18:41 - mmengine - INFO - Epoch(train) [2][1080/3757] lr: 1.0000e-02 eta: 1 day, 1:33:09 time: 0.2409 data_time: 0.0217 memory: 6108 grad_norm: 6.4173 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5425 loss: 3.5425 2022/07/22 14:18:46 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.0000e-02 eta: 1 day, 1:32:32 time: 0.2267 data_time: 0.0228 memory: 6108 grad_norm: 6.3707 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4449 loss: 3.4449 2022/07/22 14:18:50 - mmengine - INFO - Epoch(train) [2][1120/3757] lr: 1.0000e-02 eta: 1 day, 1:31:47 time: 0.2217 data_time: 0.0214 memory: 6108 grad_norm: 6.4783 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3859 loss: 3.3859 2022/07/22 14:18:55 - mmengine - INFO - Epoch(train) [2][1140/3757] lr: 1.0000e-02 eta: 1 day, 1:31:00 time: 0.2204 data_time: 0.0225 memory: 6108 grad_norm: 6.4861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3449 loss: 3.3449 2022/07/22 14:19:00 - mmengine - INFO - Epoch(train) [2][1160/3757] lr: 1.0000e-02 eta: 1 day, 1:31:37 time: 0.2757 data_time: 0.0211 memory: 6108 grad_norm: 6.4094 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4922 loss: 3.4922 2022/07/22 14:19:05 - mmengine - INFO - Epoch(train) [2][1180/3757] lr: 1.0000e-02 eta: 1 day, 1:30:56 time: 0.2232 data_time: 0.0218 memory: 6108 grad_norm: 6.2665 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4680 loss: 3.4680 2022/07/22 14:19:09 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.0000e-02 eta: 1 day, 1:30:09 time: 0.2198 data_time: 0.0203 memory: 6108 grad_norm: 6.2458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4444 loss: 3.4444 2022/07/22 14:19:14 - mmengine - INFO - Epoch(train) [2][1220/3757] lr: 1.0000e-02 eta: 1 day, 1:29:30 time: 0.2249 data_time: 0.0197 memory: 6108 grad_norm: 6.2072 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4671 loss: 3.4671 2022/07/22 14:19:19 - mmengine - INFO - Epoch(train) [2][1240/3757] lr: 1.0000e-02 eta: 1 day, 1:29:40 time: 0.2577 data_time: 0.0184 memory: 6108 grad_norm: 6.2409 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3572 loss: 3.3572 2022/07/22 14:19:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:19:23 - mmengine - INFO - Epoch(train) [2][1260/3757] lr: 1.0000e-02 eta: 1 day, 1:29:05 time: 0.2275 data_time: 0.0222 memory: 6108 grad_norm: 6.3257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2756 loss: 3.2756 2022/07/22 14:19:28 - mmengine - INFO - Epoch(train) [2][1280/3757] lr: 1.0000e-02 eta: 1 day, 1:28:20 time: 0.2200 data_time: 0.0192 memory: 6108 grad_norm: 6.2478 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3755 loss: 3.3755 2022/07/22 14:19:32 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.0000e-02 eta: 1 day, 1:28:06 time: 0.2413 data_time: 0.0200 memory: 6108 grad_norm: 6.2821 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2519 loss: 3.2519 2022/07/22 14:19:37 - mmengine - INFO - Epoch(train) [2][1320/3757] lr: 1.0000e-02 eta: 1 day, 1:27:24 time: 0.2218 data_time: 0.0227 memory: 6108 grad_norm: 6.2285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2349 loss: 3.2349 2022/07/22 14:19:42 - mmengine - INFO - Epoch(train) [2][1340/3757] lr: 1.0000e-02 eta: 1 day, 1:27:16 time: 0.2451 data_time: 0.0218 memory: 6108 grad_norm: 6.2448 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1735 loss: 3.1735 2022/07/22 14:19:47 - mmengine - INFO - Epoch(train) [2][1360/3757] lr: 1.0000e-02 eta: 1 day, 1:27:30 time: 0.2607 data_time: 0.0176 memory: 6108 grad_norm: 6.3420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4448 loss: 3.4448 2022/07/22 14:19:52 - mmengine - INFO - Epoch(train) [2][1380/3757] lr: 1.0000e-02 eta: 1 day, 1:26:57 time: 0.2274 data_time: 0.0202 memory: 6108 grad_norm: 6.1162 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2523 loss: 3.2523 2022/07/22 14:19:56 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.0000e-02 eta: 1 day, 1:26:15 time: 0.2216 data_time: 0.0201 memory: 6108 grad_norm: 6.2500 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4523 loss: 3.4523 2022/07/22 14:20:01 - mmengine - INFO - Epoch(train) [2][1420/3757] lr: 1.0000e-02 eta: 1 day, 1:25:54 time: 0.2358 data_time: 0.0250 memory: 6108 grad_norm: 6.2747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3484 loss: 3.3484 2022/07/22 14:20:05 - mmengine - INFO - Epoch(train) [2][1440/3757] lr: 1.0000e-02 eta: 1 day, 1:25:13 time: 0.2223 data_time: 0.0181 memory: 6108 grad_norm: 6.4048 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5506 loss: 3.5506 2022/07/22 14:20:10 - mmengine - INFO - Epoch(train) [2][1460/3757] lr: 1.0000e-02 eta: 1 day, 1:24:43 time: 0.2293 data_time: 0.0241 memory: 6108 grad_norm: 6.2732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2979 loss: 3.2979 2022/07/22 14:20:15 - mmengine - INFO - Epoch(train) [2][1480/3757] lr: 1.0000e-02 eta: 1 day, 1:24:37 time: 0.2462 data_time: 0.0172 memory: 6108 grad_norm: 6.1457 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6302 loss: 3.6302 2022/07/22 14:20:19 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.0000e-02 eta: 1 day, 1:24:14 time: 0.2336 data_time: 0.0189 memory: 6108 grad_norm: 6.4699 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3102 loss: 3.3102 2022/07/22 14:20:24 - mmengine - INFO - Epoch(train) [2][1520/3757] lr: 1.0000e-02 eta: 1 day, 1:23:34 time: 0.2221 data_time: 0.0216 memory: 6108 grad_norm: 6.3791 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5654 loss: 3.5654 2022/07/22 14:20:28 - mmengine - INFO - Epoch(train) [2][1540/3757] lr: 1.0000e-02 eta: 1 day, 1:22:58 time: 0.2248 data_time: 0.0174 memory: 6108 grad_norm: 6.2257 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2792 loss: 3.2792 2022/07/22 14:20:33 - mmengine - INFO - Epoch(train) [2][1560/3757] lr: 1.0000e-02 eta: 1 day, 1:23:10 time: 0.2586 data_time: 0.0595 memory: 6108 grad_norm: 6.2322 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5123 loss: 3.5123 2022/07/22 14:20:39 - mmengine - INFO - Epoch(train) [2][1580/3757] lr: 1.0000e-02 eta: 1 day, 1:23:19 time: 0.2568 data_time: 0.0184 memory: 6108 grad_norm: 6.2537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9989 loss: 2.9989 2022/07/22 14:20:43 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.0000e-02 eta: 1 day, 1:22:39 time: 0.2218 data_time: 0.0231 memory: 6108 grad_norm: 6.3564 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3361 loss: 3.3361 2022/07/22 14:20:48 - mmengine - INFO - Epoch(train) [2][1620/3757] lr: 1.0000e-02 eta: 1 day, 1:22:02 time: 0.2230 data_time: 0.0187 memory: 6108 grad_norm: 6.3464 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2950 loss: 3.2950 2022/07/22 14:20:52 - mmengine - INFO - Epoch(train) [2][1640/3757] lr: 1.0000e-02 eta: 1 day, 1:21:25 time: 0.2235 data_time: 0.0191 memory: 6108 grad_norm: 6.3486 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5848 loss: 3.5848 2022/07/22 14:20:57 - mmengine - INFO - Epoch(train) [2][1660/3757] lr: 1.0000e-02 eta: 1 day, 1:21:55 time: 0.2720 data_time: 0.0202 memory: 6108 grad_norm: 6.2285 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2518 loss: 3.2518 2022/07/22 14:21:02 - mmengine - INFO - Epoch(train) [2][1680/3757] lr: 1.0000e-02 eta: 1 day, 1:21:27 time: 0.2296 data_time: 0.0242 memory: 6108 grad_norm: 6.2456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0552 loss: 3.0552 2022/07/22 14:21:06 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.0000e-02 eta: 1 day, 1:20:51 time: 0.2238 data_time: 0.0212 memory: 6108 grad_norm: 6.0793 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1633 loss: 3.1633 2022/07/22 14:21:11 - mmengine - INFO - Epoch(train) [2][1720/3757] lr: 1.0000e-02 eta: 1 day, 1:20:04 time: 0.2155 data_time: 0.0163 memory: 6108 grad_norm: 6.0282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1477 loss: 3.1477 2022/07/22 14:21:16 - mmengine - INFO - Epoch(train) [2][1740/3757] lr: 1.0000e-02 eta: 1 day, 1:19:59 time: 0.2462 data_time: 0.0204 memory: 6108 grad_norm: 6.2346 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3195 loss: 3.3195 2022/07/22 14:21:20 - mmengine - INFO - Epoch(train) [2][1760/3757] lr: 1.0000e-02 eta: 1 day, 1:19:25 time: 0.2241 data_time: 0.0210 memory: 6108 grad_norm: 6.2421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2319 loss: 3.2319 2022/07/22 14:21:25 - mmengine - INFO - Epoch(train) [2][1780/3757] lr: 1.0000e-02 eta: 1 day, 1:18:45 time: 0.2207 data_time: 0.0207 memory: 6108 grad_norm: 6.1584 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3711 loss: 3.3711 2022/07/22 14:21:29 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.0000e-02 eta: 1 day, 1:18:13 time: 0.2259 data_time: 0.0254 memory: 6108 grad_norm: 6.2041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1380 loss: 3.1380 2022/07/22 14:21:34 - mmengine - INFO - Epoch(train) [2][1820/3757] lr: 1.0000e-02 eta: 1 day, 1:17:55 time: 0.2358 data_time: 0.0233 memory: 6108 grad_norm: 6.2322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1369 loss: 3.1369 2022/07/22 14:21:39 - mmengine - INFO - Epoch(train) [2][1840/3757] lr: 1.0000e-02 eta: 1 day, 1:17:41 time: 0.2394 data_time: 0.0185 memory: 6108 grad_norm: 6.2036 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0823 loss: 3.0823 2022/07/22 14:21:43 - mmengine - INFO - Epoch(train) [2][1860/3757] lr: 1.0000e-02 eta: 1 day, 1:17:09 time: 0.2257 data_time: 0.0219 memory: 6108 grad_norm: 6.2240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3428 loss: 3.3428 2022/07/22 14:21:48 - mmengine - INFO - Epoch(train) [2][1880/3757] lr: 1.0000e-02 eta: 1 day, 1:16:45 time: 0.2309 data_time: 0.0219 memory: 6108 grad_norm: 6.4537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5693 loss: 3.5693 2022/07/22 14:21:52 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.0000e-02 eta: 1 day, 1:16:16 time: 0.2281 data_time: 0.0181 memory: 6108 grad_norm: 6.1794 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2435 loss: 3.2435 2022/07/22 14:21:57 - mmengine - INFO - Epoch(train) [2][1920/3757] lr: 1.0000e-02 eta: 1 day, 1:15:39 time: 0.2207 data_time: 0.0202 memory: 6108 grad_norm: 6.2602 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3723 loss: 3.3723 2022/07/22 14:22:01 - mmengine - INFO - Epoch(train) [2][1940/3757] lr: 1.0000e-02 eta: 1 day, 1:15:17 time: 0.2331 data_time: 0.0243 memory: 6108 grad_norm: 6.2847 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4288 loss: 3.4288 2022/07/22 14:22:06 - mmengine - INFO - Epoch(train) [2][1960/3757] lr: 1.0000e-02 eta: 1 day, 1:14:45 time: 0.2245 data_time: 0.0193 memory: 6108 grad_norm: 6.3008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4462 loss: 3.4462 2022/07/22 14:22:11 - mmengine - INFO - Epoch(train) [2][1980/3757] lr: 1.0000e-02 eta: 1 day, 1:14:32 time: 0.2394 data_time: 0.0196 memory: 6108 grad_norm: 6.3032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4386 loss: 3.4386 2022/07/22 14:22:15 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.0000e-02 eta: 1 day, 1:13:58 time: 0.2230 data_time: 0.0212 memory: 6108 grad_norm: 6.3671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7977 loss: 2.7977 2022/07/22 14:22:20 - mmengine - INFO - Epoch(train) [2][2020/3757] lr: 1.0000e-02 eta: 1 day, 1:13:42 time: 0.2372 data_time: 0.0191 memory: 6108 grad_norm: 6.2596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1015 loss: 3.1015 2022/07/22 14:22:24 - mmengine - INFO - Epoch(train) [2][2040/3757] lr: 1.0000e-02 eta: 1 day, 1:13:08 time: 0.2221 data_time: 0.0209 memory: 6108 grad_norm: 6.3588 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6794 loss: 3.6794 2022/07/22 14:22:29 - mmengine - INFO - Epoch(train) [2][2060/3757] lr: 1.0000e-02 eta: 1 day, 1:12:41 time: 0.2282 data_time: 0.0211 memory: 6108 grad_norm: 6.0914 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3075 loss: 3.3075 2022/07/22 14:22:34 - mmengine - INFO - Epoch(train) [2][2080/3757] lr: 1.0000e-02 eta: 1 day, 1:12:32 time: 0.2425 data_time: 0.0210 memory: 6108 grad_norm: 6.3663 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0849 loss: 3.0849 2022/07/22 14:22:39 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.0000e-02 eta: 1 day, 1:13:00 time: 0.2709 data_time: 0.0180 memory: 6108 grad_norm: 6.2375 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4934 loss: 3.4934 2022/07/22 14:22:43 - mmengine - INFO - Epoch(train) [2][2120/3757] lr: 1.0000e-02 eta: 1 day, 1:12:16 time: 0.2148 data_time: 0.0201 memory: 6108 grad_norm: 6.1587 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0480 loss: 3.0480 2022/07/22 14:22:48 - mmengine - INFO - Epoch(train) [2][2140/3757] lr: 1.0000e-02 eta: 1 day, 1:11:57 time: 0.2338 data_time: 0.0160 memory: 6108 grad_norm: 6.2127 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4517 loss: 3.4517 2022/07/22 14:22:53 - mmengine - INFO - Epoch(train) [2][2160/3757] lr: 1.0000e-02 eta: 1 day, 1:11:38 time: 0.2346 data_time: 0.0241 memory: 6108 grad_norm: 6.3025 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6515 loss: 3.6515 2022/07/22 14:22:57 - mmengine - INFO - Epoch(train) [2][2180/3757] lr: 1.0000e-02 eta: 1 day, 1:11:08 time: 0.2250 data_time: 0.0199 memory: 6108 grad_norm: 6.2218 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6156 loss: 3.6156 2022/07/22 14:23:02 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.0000e-02 eta: 1 day, 1:10:59 time: 0.2417 data_time: 0.0210 memory: 6108 grad_norm: 6.1758 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1975 loss: 3.1975 2022/07/22 14:23:07 - mmengine - INFO - Epoch(train) [2][2220/3757] lr: 1.0000e-02 eta: 1 day, 1:10:34 time: 0.2289 data_time: 0.0223 memory: 6108 grad_norm: 6.3375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8949 loss: 2.8949 2022/07/22 14:23:12 - mmengine - INFO - Epoch(train) [2][2240/3757] lr: 1.0000e-02 eta: 1 day, 1:10:28 time: 0.2443 data_time: 0.0256 memory: 6108 grad_norm: 6.3905 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2311 loss: 3.2311 2022/07/22 14:23:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:23:16 - mmengine - INFO - Epoch(train) [2][2260/3757] lr: 1.0000e-02 eta: 1 day, 1:10:14 time: 0.2375 data_time: 0.0211 memory: 6108 grad_norm: 6.2287 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3223 loss: 3.3223 2022/07/22 14:23:21 - mmengine - INFO - Epoch(train) [2][2280/3757] lr: 1.0000e-02 eta: 1 day, 1:10:03 time: 0.2407 data_time: 0.0185 memory: 6108 grad_norm: 6.2234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2232 loss: 3.2232 2022/07/22 14:23:26 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.0000e-02 eta: 1 day, 1:09:37 time: 0.2273 data_time: 0.0211 memory: 6108 grad_norm: 6.2158 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4556 loss: 3.4556 2022/07/22 14:23:30 - mmengine - INFO - Epoch(train) [2][2320/3757] lr: 1.0000e-02 eta: 1 day, 1:09:10 time: 0.2272 data_time: 0.0311 memory: 6108 grad_norm: 6.1538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2008 loss: 3.2008 2022/07/22 14:23:35 - mmengine - INFO - Epoch(train) [2][2340/3757] lr: 1.0000e-02 eta: 1 day, 1:08:46 time: 0.2293 data_time: 0.0226 memory: 6108 grad_norm: 6.0241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0766 loss: 3.0766 2022/07/22 14:23:40 - mmengine - INFO - Epoch(train) [2][2360/3757] lr: 1.0000e-02 eta: 1 day, 1:09:07 time: 0.2663 data_time: 0.0259 memory: 6108 grad_norm: 6.1967 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1225 loss: 3.1225 2022/07/22 14:23:45 - mmengine - INFO - Epoch(train) [2][2380/3757] lr: 1.0000e-02 eta: 1 day, 1:08:59 time: 0.2423 data_time: 0.0152 memory: 6108 grad_norm: 6.1993 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3258 loss: 3.3258 2022/07/22 14:23:50 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.0000e-02 eta: 1 day, 1:08:46 time: 0.2379 data_time: 0.0203 memory: 6108 grad_norm: 6.1067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1313 loss: 3.1313 2022/07/22 14:23:54 - mmengine - INFO - Epoch(train) [2][2420/3757] lr: 1.0000e-02 eta: 1 day, 1:08:22 time: 0.2290 data_time: 0.0147 memory: 6108 grad_norm: 6.2160 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1987 loss: 3.1987 2022/07/22 14:23:59 - mmengine - INFO - Epoch(train) [2][2440/3757] lr: 1.0000e-02 eta: 1 day, 1:07:57 time: 0.2286 data_time: 0.0206 memory: 6108 grad_norm: 6.2070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4760 loss: 3.4760 2022/07/22 14:24:03 - mmengine - INFO - Epoch(train) [2][2460/3757] lr: 1.0000e-02 eta: 1 day, 1:07:28 time: 0.2242 data_time: 0.0190 memory: 6108 grad_norm: 6.2907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1692 loss: 3.1692 2022/07/22 14:24:09 - mmengine - INFO - Epoch(train) [2][2480/3757] lr: 1.0000e-02 eta: 1 day, 1:07:52 time: 0.2697 data_time: 0.0162 memory: 6108 grad_norm: 6.2424 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3039 loss: 3.3039 2022/07/22 14:24:13 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.0000e-02 eta: 1 day, 1:07:26 time: 0.2268 data_time: 0.0167 memory: 6108 grad_norm: 6.2517 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.2385 loss: 3.2385 2022/07/22 14:24:18 - mmengine - INFO - Epoch(train) [2][2520/3757] lr: 1.0000e-02 eta: 1 day, 1:07:07 time: 0.2330 data_time: 0.0202 memory: 6108 grad_norm: 6.3227 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1358 loss: 3.1358 2022/07/22 14:24:23 - mmengine - INFO - Epoch(train) [2][2540/3757] lr: 1.0000e-02 eta: 1 day, 1:06:44 time: 0.2291 data_time: 0.0197 memory: 6108 grad_norm: 6.2454 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1451 loss: 3.1451 2022/07/22 14:24:27 - mmengine - INFO - Epoch(train) [2][2560/3757] lr: 1.0000e-02 eta: 1 day, 1:06:35 time: 0.2411 data_time: 0.0192 memory: 6108 grad_norm: 6.1816 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1638 loss: 3.1638 2022/07/22 14:24:32 - mmengine - INFO - Epoch(train) [2][2580/3757] lr: 1.0000e-02 eta: 1 day, 1:06:19 time: 0.2352 data_time: 0.0237 memory: 6108 grad_norm: 6.0580 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0327 loss: 3.0327 2022/07/22 14:24:37 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.0000e-02 eta: 1 day, 1:05:47 time: 0.2216 data_time: 0.0163 memory: 6108 grad_norm: 6.1240 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2664 loss: 3.2664 2022/07/22 14:24:41 - mmengine - INFO - Epoch(train) [2][2620/3757] lr: 1.0000e-02 eta: 1 day, 1:05:24 time: 0.2284 data_time: 0.0247 memory: 6108 grad_norm: 6.0541 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1935 loss: 3.1935 2022/07/22 14:24:46 - mmengine - INFO - Epoch(train) [2][2640/3757] lr: 1.0000e-02 eta: 1 day, 1:04:56 time: 0.2251 data_time: 0.0209 memory: 6108 grad_norm: 6.2784 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9640 loss: 2.9640 2022/07/22 14:24:50 - mmengine - INFO - Epoch(train) [2][2660/3757] lr: 1.0000e-02 eta: 1 day, 1:04:45 time: 0.2387 data_time: 0.0246 memory: 6108 grad_norm: 6.1830 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1515 loss: 3.1515 2022/07/22 14:24:55 - mmengine - INFO - Epoch(train) [2][2680/3757] lr: 1.0000e-02 eta: 1 day, 1:04:17 time: 0.2248 data_time: 0.0179 memory: 6108 grad_norm: 6.1167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4182 loss: 3.4182 2022/07/22 14:25:00 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.0000e-02 eta: 1 day, 1:04:09 time: 0.2414 data_time: 0.0201 memory: 6108 grad_norm: 6.0932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7037 loss: 2.7037 2022/07/22 14:25:04 - mmengine - INFO - Epoch(train) [2][2720/3757] lr: 1.0000e-02 eta: 1 day, 1:03:44 time: 0.2268 data_time: 0.0278 memory: 6108 grad_norm: 6.0270 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0662 loss: 3.0662 2022/07/22 14:25:09 - mmengine - INFO - Epoch(train) [2][2740/3757] lr: 1.0000e-02 eta: 1 day, 1:03:15 time: 0.2230 data_time: 0.0194 memory: 6108 grad_norm: 6.0510 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3736 loss: 3.3736 2022/07/22 14:25:13 - mmengine - INFO - Epoch(train) [2][2760/3757] lr: 1.0000e-02 eta: 1 day, 1:02:50 time: 0.2265 data_time: 0.0237 memory: 6108 grad_norm: 6.1984 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3717 loss: 3.3717 2022/07/22 14:25:18 - mmengine - INFO - Epoch(train) [2][2780/3757] lr: 1.0000e-02 eta: 1 day, 1:02:30 time: 0.2316 data_time: 0.0170 memory: 6108 grad_norm: 6.2568 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.3595 loss: 3.3595 2022/07/22 14:25:23 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.0000e-02 eta: 1 day, 1:02:27 time: 0.2454 data_time: 0.0198 memory: 6108 grad_norm: 6.2083 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0374 loss: 3.0374 2022/07/22 14:25:27 - mmengine - INFO - Epoch(train) [2][2820/3757] lr: 1.0000e-02 eta: 1 day, 1:02:00 time: 0.2245 data_time: 0.0259 memory: 6108 grad_norm: 6.3509 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8934 loss: 2.8934 2022/07/22 14:25:32 - mmengine - INFO - Epoch(train) [2][2840/3757] lr: 1.0000e-02 eta: 1 day, 1:01:48 time: 0.2379 data_time: 0.0216 memory: 6108 grad_norm: 6.2307 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0974 loss: 3.0974 2022/07/22 14:25:37 - mmengine - INFO - Epoch(train) [2][2860/3757] lr: 1.0000e-02 eta: 1 day, 1:01:27 time: 0.2295 data_time: 0.0165 memory: 6108 grad_norm: 6.1191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4151 loss: 3.4151 2022/07/22 14:25:42 - mmengine - INFO - Epoch(train) [2][2880/3757] lr: 1.0000e-02 eta: 1 day, 1:01:22 time: 0.2440 data_time: 0.0228 memory: 6108 grad_norm: 6.2124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2205 loss: 3.2205 2022/07/22 14:25:46 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.0000e-02 eta: 1 day, 1:01:12 time: 0.2397 data_time: 0.0175 memory: 6108 grad_norm: 6.2658 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3613 loss: 3.3613 2022/07/22 14:25:51 - mmengine - INFO - Epoch(train) [2][2920/3757] lr: 1.0000e-02 eta: 1 day, 1:00:55 time: 0.2329 data_time: 0.0232 memory: 6108 grad_norm: 6.0697 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1151 loss: 3.1151 2022/07/22 14:25:56 - mmengine - INFO - Epoch(train) [2][2940/3757] lr: 1.0000e-02 eta: 1 day, 1:00:29 time: 0.2251 data_time: 0.0222 memory: 6108 grad_norm: 6.1150 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2944 loss: 3.2944 2022/07/22 14:26:00 - mmengine - INFO - Epoch(train) [2][2960/3757] lr: 1.0000e-02 eta: 1 day, 1:00:02 time: 0.2237 data_time: 0.0190 memory: 6108 grad_norm: 6.2673 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3411 loss: 3.3411 2022/07/22 14:26:05 - mmengine - INFO - Epoch(train) [2][2980/3757] lr: 1.0000e-02 eta: 1 day, 0:59:39 time: 0.2270 data_time: 0.0179 memory: 6108 grad_norm: 6.3294 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9560 loss: 2.9560 2022/07/22 14:26:09 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.0000e-02 eta: 1 day, 0:59:27 time: 0.2380 data_time: 0.0201 memory: 6108 grad_norm: 6.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0944 loss: 3.0944 2022/07/22 14:26:14 - mmengine - INFO - Epoch(train) [2][3020/3757] lr: 1.0000e-02 eta: 1 day, 0:59:06 time: 0.2288 data_time: 0.0215 memory: 6108 grad_norm: 6.0727 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1032 loss: 3.1032 2022/07/22 14:26:19 - mmengine - INFO - Epoch(train) [2][3040/3757] lr: 1.0000e-02 eta: 1 day, 0:58:58 time: 0.2407 data_time: 0.0285 memory: 6108 grad_norm: 6.1428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3538 loss: 3.3538 2022/07/22 14:26:24 - mmengine - INFO - Epoch(train) [2][3060/3757] lr: 1.0000e-02 eta: 1 day, 0:58:49 time: 0.2404 data_time: 0.0275 memory: 6108 grad_norm: 5.9977 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1437 loss: 3.1437 2022/07/22 14:26:28 - mmengine - INFO - Epoch(train) [2][3080/3757] lr: 1.0000e-02 eta: 1 day, 0:58:36 time: 0.2360 data_time: 0.0209 memory: 6108 grad_norm: 6.2171 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9513 loss: 2.9513 2022/07/22 14:26:33 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.0000e-02 eta: 1 day, 0:58:16 time: 0.2298 data_time: 0.0155 memory: 6108 grad_norm: 6.1290 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1620 loss: 3.1620 2022/07/22 14:26:37 - mmengine - INFO - Epoch(train) [2][3120/3757] lr: 1.0000e-02 eta: 1 day, 0:57:54 time: 0.2278 data_time: 0.0193 memory: 6108 grad_norm: 6.2956 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0814 loss: 3.0814 2022/07/22 14:26:42 - mmengine - INFO - Epoch(train) [2][3140/3757] lr: 1.0000e-02 eta: 1 day, 0:57:30 time: 0.2254 data_time: 0.0191 memory: 6108 grad_norm: 6.1359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8690 loss: 2.8690 2022/07/22 14:26:47 - mmengine - INFO - Epoch(train) [2][3160/3757] lr: 1.0000e-02 eta: 1 day, 0:57:37 time: 0.2556 data_time: 0.0172 memory: 6108 grad_norm: 6.3146 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2428 loss: 3.2428 2022/07/22 14:26:52 - mmengine - INFO - Epoch(train) [2][3180/3757] lr: 1.0000e-02 eta: 1 day, 0:57:13 time: 0.2253 data_time: 0.0221 memory: 6108 grad_norm: 6.1868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3276 loss: 3.3276 2022/07/22 14:26:56 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.0000e-02 eta: 1 day, 0:56:50 time: 0.2267 data_time: 0.0175 memory: 6108 grad_norm: 6.1608 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1131 loss: 3.1131 2022/07/22 14:27:01 - mmengine - INFO - Epoch(train) [2][3220/3757] lr: 1.0000e-02 eta: 1 day, 0:57:01 time: 0.2581 data_time: 0.0184 memory: 6108 grad_norm: 6.2489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9576 loss: 2.9576 2022/07/22 14:27:06 - mmengine - INFO - Epoch(train) [2][3240/3757] lr: 1.0000e-02 eta: 1 day, 0:56:32 time: 0.2213 data_time: 0.0222 memory: 6108 grad_norm: 6.3482 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4962 loss: 3.4962 2022/07/22 14:27:06 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:27:10 - mmengine - INFO - Epoch(train) [2][3260/3757] lr: 1.0000e-02 eta: 1 day, 0:56:04 time: 0.2211 data_time: 0.0184 memory: 6108 grad_norm: 6.0920 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0798 loss: 3.0798 2022/07/22 14:27:14 - mmengine - INFO - Epoch(train) [2][3280/3757] lr: 1.0000e-02 eta: 1 day, 0:55:34 time: 0.2199 data_time: 0.0184 memory: 6108 grad_norm: 6.2696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2090 loss: 3.2090 2022/07/22 14:27:20 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.0000e-02 eta: 1 day, 0:55:58 time: 0.2702 data_time: 0.0254 memory: 6108 grad_norm: 6.2112 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1681 loss: 3.1681 2022/07/22 14:27:24 - mmengine - INFO - Epoch(train) [2][3320/3757] lr: 1.0000e-02 eta: 1 day, 0:55:25 time: 0.2171 data_time: 0.0192 memory: 6108 grad_norm: 6.1122 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1726 loss: 3.1726 2022/07/22 14:27:29 - mmengine - INFO - Epoch(train) [2][3340/3757] lr: 1.0000e-02 eta: 1 day, 0:55:05 time: 0.2285 data_time: 0.0237 memory: 6108 grad_norm: 6.1418 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9128 loss: 2.9128 2022/07/22 14:27:34 - mmengine - INFO - Epoch(train) [2][3360/3757] lr: 1.0000e-02 eta: 1 day, 0:54:53 time: 0.2364 data_time: 0.0316 memory: 6108 grad_norm: 6.0913 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2313 loss: 3.2313 2022/07/22 14:27:38 - mmengine - INFO - Epoch(train) [2][3380/3757] lr: 1.0000e-02 eta: 1 day, 0:54:31 time: 0.2268 data_time: 0.0182 memory: 6108 grad_norm: 6.0197 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2615 loss: 3.2615 2022/07/22 14:27:43 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.0000e-02 eta: 1 day, 0:54:19 time: 0.2361 data_time: 0.0215 memory: 6108 grad_norm: 6.1177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1173 loss: 3.1173 2022/07/22 14:27:47 - mmengine - INFO - Epoch(train) [2][3420/3757] lr: 1.0000e-02 eta: 1 day, 0:53:50 time: 0.2205 data_time: 0.0205 memory: 6108 grad_norm: 6.3455 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1247 loss: 3.1247 2022/07/22 14:27:52 - mmengine - INFO - Epoch(train) [2][3440/3757] lr: 1.0000e-02 eta: 1 day, 0:53:29 time: 0.2273 data_time: 0.0214 memory: 6108 grad_norm: 6.3086 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4396 loss: 3.4396 2022/07/22 14:27:56 - mmengine - INFO - Epoch(train) [2][3460/3757] lr: 1.0000e-02 eta: 1 day, 0:53:18 time: 0.2365 data_time: 0.0174 memory: 6108 grad_norm: 6.1979 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2097 loss: 3.2097 2022/07/22 14:28:01 - mmengine - INFO - Epoch(train) [2][3480/3757] lr: 1.0000e-02 eta: 1 day, 0:53:12 time: 0.2428 data_time: 0.0226 memory: 6108 grad_norm: 6.1475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0355 loss: 3.0355 2022/07/22 14:28:06 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.0000e-02 eta: 1 day, 0:52:52 time: 0.2284 data_time: 0.0275 memory: 6108 grad_norm: 6.1131 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2950 loss: 3.2950 2022/07/22 14:28:10 - mmengine - INFO - Epoch(train) [2][3520/3757] lr: 1.0000e-02 eta: 1 day, 0:52:32 time: 0.2276 data_time: 0.0213 memory: 6108 grad_norm: 6.0754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1309 loss: 3.1309 2022/07/22 14:28:15 - mmengine - INFO - Epoch(train) [2][3540/3757] lr: 1.0000e-02 eta: 1 day, 0:52:08 time: 0.2243 data_time: 0.0224 memory: 6108 grad_norm: 6.3511 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0796 loss: 3.0796 2022/07/22 14:28:20 - mmengine - INFO - Epoch(train) [2][3560/3757] lr: 1.0000e-02 eta: 1 day, 0:52:06 time: 0.2457 data_time: 0.0192 memory: 6108 grad_norm: 6.0800 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2136 loss: 3.2136 2022/07/22 14:28:24 - mmengine - INFO - Epoch(train) [2][3580/3757] lr: 1.0000e-02 eta: 1 day, 0:51:48 time: 0.2303 data_time: 0.0179 memory: 6108 grad_norm: 6.1147 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3005 loss: 3.3005 2022/07/22 14:28:29 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.0000e-02 eta: 1 day, 0:51:30 time: 0.2294 data_time: 0.0195 memory: 6108 grad_norm: 6.0058 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0552 loss: 3.0552 2022/07/22 14:28:34 - mmengine - INFO - Epoch(train) [2][3620/3757] lr: 1.0000e-02 eta: 1 day, 0:51:16 time: 0.2341 data_time: 0.0247 memory: 6108 grad_norm: 6.1707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3299 loss: 3.3299 2022/07/22 14:28:38 - mmengine - INFO - Epoch(train) [2][3640/3757] lr: 1.0000e-02 eta: 1 day, 0:51:06 time: 0.2376 data_time: 0.0342 memory: 6108 grad_norm: 6.1241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2587 loss: 3.2587 2022/07/22 14:28:43 - mmengine - INFO - Epoch(train) [2][3660/3757] lr: 1.0000e-02 eta: 1 day, 0:51:09 time: 0.2512 data_time: 0.0476 memory: 6108 grad_norm: 6.2904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0166 loss: 3.0166 2022/07/22 14:28:48 - mmengine - INFO - Epoch(train) [2][3680/3757] lr: 1.0000e-02 eta: 1 day, 0:50:40 time: 0.2186 data_time: 0.0235 memory: 6108 grad_norm: 6.3581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1857 loss: 3.1857 2022/07/22 14:28:53 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.0000e-02 eta: 1 day, 0:50:32 time: 0.2393 data_time: 0.0409 memory: 6108 grad_norm: 6.0950 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0580 loss: 3.0580 2022/07/22 14:28:57 - mmengine - INFO - Epoch(train) [2][3720/3757] lr: 1.0000e-02 eta: 1 day, 0:50:15 time: 0.2305 data_time: 0.0268 memory: 6108 grad_norm: 6.1277 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1355 loss: 3.1355 2022/07/22 14:29:02 - mmengine - INFO - Epoch(train) [2][3740/3757] lr: 1.0000e-02 eta: 1 day, 0:50:04 time: 0.2362 data_time: 0.0195 memory: 6108 grad_norm: 5.9430 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7873 loss: 2.7873 2022/07/22 14:29:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:29:05 - mmengine - INFO - Epoch(train) [2][3757/3757] lr: 1.0000e-02 eta: 1 day, 0:50:04 time: 0.1904 data_time: 0.0162 memory: 6108 grad_norm: 6.1040 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0119 loss: 3.0119 2022/07/22 14:29:11 - mmengine - INFO - Epoch(val) [2][20/310] eta: 0:01:22 time: 0.2829 data_time: 0.2074 memory: 1428 2022/07/22 14:29:15 - mmengine - INFO - Epoch(val) [2][40/310] eta: 0:00:50 time: 0.1869 data_time: 0.1113 memory: 1428 2022/07/22 14:29:19 - mmengine - INFO - Epoch(val) [2][60/310] eta: 0:00:58 time: 0.2322 data_time: 0.1540 memory: 1428 2022/07/22 14:29:23 - mmengine - INFO - Epoch(val) [2][80/310] eta: 0:00:48 time: 0.2093 data_time: 0.1322 memory: 1428 2022/07/22 14:29:28 - mmengine - INFO - Epoch(val) [2][100/310] eta: 0:00:44 time: 0.2104 data_time: 0.1348 memory: 1428 2022/07/22 14:29:32 - mmengine - INFO - Epoch(val) [2][120/310] eta: 0:00:44 time: 0.2342 data_time: 0.1606 memory: 1428 2022/07/22 14:29:37 - mmengine - INFO - Epoch(val) [2][140/310] eta: 0:00:35 time: 0.2087 data_time: 0.1332 memory: 1428 2022/07/22 14:29:42 - mmengine - INFO - Epoch(val) [2][160/310] eta: 0:00:39 time: 0.2611 data_time: 0.1774 memory: 1428 2022/07/22 14:29:46 - mmengine - INFO - Epoch(val) [2][180/310] eta: 0:00:26 time: 0.2018 data_time: 0.1257 memory: 1428 2022/07/22 14:29:50 - mmengine - INFO - Epoch(val) [2][200/310] eta: 0:00:23 time: 0.2108 data_time: 0.1363 memory: 1428 2022/07/22 14:29:54 - mmengine - INFO - Epoch(val) [2][220/310] eta: 0:00:17 time: 0.1891 data_time: 0.1148 memory: 1428 2022/07/22 14:29:58 - mmengine - INFO - Epoch(val) [2][240/310] eta: 0:00:14 time: 0.2091 data_time: 0.1332 memory: 1428 2022/07/22 14:30:03 - mmengine - INFO - Epoch(val) [2][260/310] eta: 0:00:11 time: 0.2335 data_time: 0.1442 memory: 1428 2022/07/22 14:30:07 - mmengine - INFO - Epoch(val) [2][280/310] eta: 0:00:05 time: 0.1996 data_time: 0.1214 memory: 1428 2022/07/22 14:30:11 - mmengine - INFO - Epoch(val) [2][300/310] eta: 0:00:02 time: 0.2094 data_time: 0.1373 memory: 1428 2022/07/22 14:30:14 - mmengine - INFO - Epoch(val) [2][310/310] acc/top1: 0.3568 acc/top5: 0.6408 acc/mean1: 0.3565 2022/07/22 14:30:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/07/22 14:30:17 - mmengine - INFO - The best checkpoint with 0.3568 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/07/22 14:30:22 - mmengine - INFO - Epoch(train) [3][20/3757] lr: 1.0000e-02 eta: 1 day, 0:46:58 time: 0.2686 data_time: 0.0813 memory: 6108 grad_norm: 6.1464 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9345 loss: 2.9345 2022/07/22 14:30:27 - mmengine - INFO - Epoch(train) [3][40/3757] lr: 1.0000e-02 eta: 1 day, 0:46:42 time: 0.2305 data_time: 0.0290 memory: 6108 grad_norm: 6.3854 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2663 loss: 3.2663 2022/07/22 14:30:32 - mmengine - INFO - Epoch(train) [3][60/3757] lr: 1.0000e-02 eta: 1 day, 0:46:41 time: 0.2468 data_time: 0.0463 memory: 6108 grad_norm: 6.2156 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1642 loss: 3.1642 2022/07/22 14:30:36 - mmengine - INFO - Epoch(train) [3][80/3757] lr: 1.0000e-02 eta: 1 day, 0:46:17 time: 0.2218 data_time: 0.0177 memory: 6108 grad_norm: 6.0478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0873 loss: 3.0873 2022/07/22 14:30:41 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.0000e-02 eta: 1 day, 0:46:19 time: 0.2503 data_time: 0.0579 memory: 6108 grad_norm: 6.0667 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9217 loss: 2.9217 2022/07/22 14:30:46 - mmengine - INFO - Epoch(train) [3][120/3757] lr: 1.0000e-02 eta: 1 day, 0:46:09 time: 0.2367 data_time: 0.0376 memory: 6108 grad_norm: 6.1863 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1388 loss: 3.1388 2022/07/22 14:30:50 - mmengine - INFO - Epoch(train) [3][140/3757] lr: 1.0000e-02 eta: 1 day, 0:45:50 time: 0.2276 data_time: 0.0192 memory: 6108 grad_norm: 6.0969 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2385 loss: 3.2385 2022/07/22 14:30:55 - mmengine - INFO - Epoch(train) [3][160/3757] lr: 1.0000e-02 eta: 1 day, 0:45:18 time: 0.2137 data_time: 0.0204 memory: 6108 grad_norm: 6.1193 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0840 loss: 3.0840 2022/07/22 14:30:59 - mmengine - INFO - Epoch(train) [3][180/3757] lr: 1.0000e-02 eta: 1 day, 0:45:04 time: 0.2324 data_time: 0.0245 memory: 6108 grad_norm: 6.3337 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9747 loss: 2.9747 2022/07/22 14:31:04 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.0000e-02 eta: 1 day, 0:44:50 time: 0.2323 data_time: 0.0245 memory: 6108 grad_norm: 6.1944 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0380 loss: 3.0380 2022/07/22 14:31:09 - mmengine - INFO - Epoch(train) [3][220/3757] lr: 1.0000e-02 eta: 1 day, 0:44:38 time: 0.2353 data_time: 0.0192 memory: 6108 grad_norm: 6.2891 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5431 loss: 3.5431 2022/07/22 14:31:14 - mmengine - INFO - Epoch(train) [3][240/3757] lr: 1.0000e-02 eta: 1 day, 0:44:48 time: 0.2577 data_time: 0.0305 memory: 6108 grad_norm: 6.1145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0869 loss: 3.0869 2022/07/22 14:31:18 - mmengine - INFO - Epoch(train) [3][260/3757] lr: 1.0000e-02 eta: 1 day, 0:44:30 time: 0.2281 data_time: 0.0187 memory: 6108 grad_norm: 6.0743 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1588 loss: 3.1588 2022/07/22 14:31:23 - mmengine - INFO - Epoch(train) [3][280/3757] lr: 1.0000e-02 eta: 1 day, 0:44:11 time: 0.2268 data_time: 0.0178 memory: 6108 grad_norm: 5.9406 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8336 loss: 2.8336 2022/07/22 14:31:27 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.0000e-02 eta: 1 day, 0:43:46 time: 0.2210 data_time: 0.0220 memory: 6108 grad_norm: 6.0657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0048 loss: 3.0048 2022/07/22 14:31:32 - mmengine - INFO - Epoch(train) [3][320/3757] lr: 1.0000e-02 eta: 1 day, 0:43:40 time: 0.2402 data_time: 0.0286 memory: 6108 grad_norm: 6.0930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1443 loss: 3.1443 2022/07/22 14:31:37 - mmengine - INFO - Epoch(train) [3][340/3757] lr: 1.0000e-02 eta: 1 day, 0:43:28 time: 0.2344 data_time: 0.0232 memory: 6108 grad_norm: 6.1485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8713 loss: 2.8713 2022/07/22 14:31:42 - mmengine - INFO - Epoch(train) [3][360/3757] lr: 1.0000e-02 eta: 1 day, 0:43:24 time: 0.2431 data_time: 0.0228 memory: 6108 grad_norm: 6.0716 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0365 loss: 3.0365 2022/07/22 14:31:46 - mmengine - INFO - Epoch(train) [3][380/3757] lr: 1.0000e-02 eta: 1 day, 0:43:06 time: 0.2278 data_time: 0.0215 memory: 6108 grad_norm: 6.0892 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3515 loss: 3.3515 2022/07/22 14:31:51 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.0000e-02 eta: 1 day, 0:42:56 time: 0.2359 data_time: 0.0210 memory: 6108 grad_norm: 6.2510 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1062 loss: 3.1062 2022/07/22 14:31:55 - mmengine - INFO - Epoch(train) [3][420/3757] lr: 1.0000e-02 eta: 1 day, 0:42:35 time: 0.2248 data_time: 0.0271 memory: 6108 grad_norm: 6.0819 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8428 loss: 2.8428 2022/07/22 14:32:00 - mmengine - INFO - Epoch(train) [3][440/3757] lr: 1.0000e-02 eta: 1 day, 0:42:36 time: 0.2479 data_time: 0.0157 memory: 6108 grad_norm: 6.0595 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2499 loss: 3.2499 2022/07/22 14:32:05 - mmengine - INFO - Epoch(train) [3][460/3757] lr: 1.0000e-02 eta: 1 day, 0:42:16 time: 0.2257 data_time: 0.0235 memory: 6108 grad_norm: 6.1243 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0177 loss: 3.0177 2022/07/22 14:32:10 - mmengine - INFO - Epoch(train) [3][480/3757] lr: 1.0000e-02 eta: 1 day, 0:42:06 time: 0.2361 data_time: 0.0205 memory: 6108 grad_norm: 6.1706 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9388 loss: 2.9388 2022/07/22 14:32:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:32:14 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.0000e-02 eta: 1 day, 0:42:00 time: 0.2404 data_time: 0.0169 memory: 6108 grad_norm: 6.0207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0851 loss: 3.0851 2022/07/22 14:32:19 - mmengine - INFO - Epoch(train) [3][520/3757] lr: 1.0000e-02 eta: 1 day, 0:41:35 time: 0.2204 data_time: 0.0220 memory: 6108 grad_norm: 6.1475 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0259 loss: 3.0259 2022/07/22 14:32:23 - mmengine - INFO - Epoch(train) [3][540/3757] lr: 1.0000e-02 eta: 1 day, 0:41:10 time: 0.2194 data_time: 0.0216 memory: 6108 grad_norm: 5.9998 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9616 loss: 2.9616 2022/07/22 14:32:28 - mmengine - INFO - Epoch(train) [3][560/3757] lr: 1.0000e-02 eta: 1 day, 0:40:45 time: 0.2198 data_time: 0.0203 memory: 6108 grad_norm: 6.0369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0547 loss: 3.0547 2022/07/22 14:32:32 - mmengine - INFO - Epoch(train) [3][580/3757] lr: 1.0000e-02 eta: 1 day, 0:40:44 time: 0.2456 data_time: 0.0309 memory: 6108 grad_norm: 6.0092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7712 loss: 2.7712 2022/07/22 14:32:37 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.0000e-02 eta: 1 day, 0:40:18 time: 0.2188 data_time: 0.0215 memory: 6108 grad_norm: 6.0104 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4490 loss: 3.4490 2022/07/22 14:32:41 - mmengine - INFO - Epoch(train) [3][620/3757] lr: 1.0000e-02 eta: 1 day, 0:40:03 time: 0.2301 data_time: 0.0281 memory: 6108 grad_norm: 6.0785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0066 loss: 3.0066 2022/07/22 14:32:46 - mmengine - INFO - Epoch(train) [3][640/3757] lr: 1.0000e-02 eta: 1 day, 0:39:41 time: 0.2223 data_time: 0.0208 memory: 6108 grad_norm: 5.9816 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8945 loss: 2.8945 2022/07/22 14:32:51 - mmengine - INFO - Epoch(train) [3][660/3757] lr: 1.0000e-02 eta: 1 day, 0:39:44 time: 0.2510 data_time: 0.0217 memory: 6108 grad_norm: 6.1374 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9071 loss: 2.9071 2022/07/22 14:32:56 - mmengine - INFO - Epoch(train) [3][680/3757] lr: 1.0000e-02 eta: 1 day, 0:39:32 time: 0.2334 data_time: 0.0236 memory: 6108 grad_norm: 6.0569 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9656 loss: 2.9656 2022/07/22 14:33:00 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.0000e-02 eta: 1 day, 0:39:14 time: 0.2264 data_time: 0.0228 memory: 6108 grad_norm: 6.2714 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1166 loss: 3.1166 2022/07/22 14:33:04 - mmengine - INFO - Epoch(train) [3][720/3757] lr: 1.0000e-02 eta: 1 day, 0:38:49 time: 0.2195 data_time: 0.0234 memory: 6108 grad_norm: 6.2232 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1104 loss: 3.1104 2022/07/22 14:33:09 - mmengine - INFO - Epoch(train) [3][740/3757] lr: 1.0000e-02 eta: 1 day, 0:38:41 time: 0.2374 data_time: 0.0194 memory: 6108 grad_norm: 6.0881 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0084 loss: 3.0084 2022/07/22 14:33:14 - mmengine - INFO - Epoch(train) [3][760/3757] lr: 1.0000e-02 eta: 1 day, 0:38:31 time: 0.2363 data_time: 0.0215 memory: 6108 grad_norm: 6.1536 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0542 loss: 3.0542 2022/07/22 14:33:19 - mmengine - INFO - Epoch(train) [3][780/3757] lr: 1.0000e-02 eta: 1 day, 0:38:24 time: 0.2389 data_time: 0.0270 memory: 6108 grad_norm: 6.1552 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2770 loss: 3.2770 2022/07/22 14:33:23 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.0000e-02 eta: 1 day, 0:38:01 time: 0.2202 data_time: 0.0208 memory: 6108 grad_norm: 6.1642 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1762 loss: 3.1762 2022/07/22 14:33:28 - mmengine - INFO - Epoch(train) [3][820/3757] lr: 1.0000e-02 eta: 1 day, 0:38:01 time: 0.2474 data_time: 0.0254 memory: 6108 grad_norm: 5.9503 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0754 loss: 3.0754 2022/07/22 14:33:33 - mmengine - INFO - Epoch(train) [3][840/3757] lr: 1.0000e-02 eta: 1 day, 0:37:42 time: 0.2247 data_time: 0.0262 memory: 6108 grad_norm: 5.8761 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9461 loss: 2.9461 2022/07/22 14:33:37 - mmengine - INFO - Epoch(train) [3][860/3757] lr: 1.0000e-02 eta: 1 day, 0:37:19 time: 0.2206 data_time: 0.0186 memory: 6108 grad_norm: 5.9934 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9859 loss: 2.9859 2022/07/22 14:33:41 - mmengine - INFO - Epoch(train) [3][880/3757] lr: 1.0000e-02 eta: 1 day, 0:36:57 time: 0.2219 data_time: 0.0203 memory: 6108 grad_norm: 6.1244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9957 loss: 2.9957 2022/07/22 14:33:46 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.0000e-02 eta: 1 day, 0:36:48 time: 0.2370 data_time: 0.0221 memory: 6108 grad_norm: 6.1688 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8783 loss: 2.8783 2022/07/22 14:33:51 - mmengine - INFO - Epoch(train) [3][920/3757] lr: 1.0000e-02 eta: 1 day, 0:36:52 time: 0.2516 data_time: 0.0166 memory: 6108 grad_norm: 6.1030 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9524 loss: 2.9524 2022/07/22 14:33:56 - mmengine - INFO - Epoch(train) [3][940/3757] lr: 1.0000e-02 eta: 1 day, 0:36:43 time: 0.2359 data_time: 0.0239 memory: 6108 grad_norm: 6.0826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1338 loss: 3.1338 2022/07/22 14:34:01 - mmengine - INFO - Epoch(train) [3][960/3757] lr: 1.0000e-02 eta: 1 day, 0:36:45 time: 0.2489 data_time: 0.0274 memory: 6108 grad_norm: 5.9895 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8384 loss: 2.8384 2022/07/22 14:34:05 - mmengine - INFO - Epoch(train) [3][980/3757] lr: 1.0000e-02 eta: 1 day, 0:36:16 time: 0.2140 data_time: 0.0179 memory: 6108 grad_norm: 6.0637 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9039 loss: 2.9039 2022/07/22 14:34:10 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.0000e-02 eta: 1 day, 0:36:11 time: 0.2410 data_time: 0.0383 memory: 6108 grad_norm: 5.9666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9511 loss: 2.9511 2022/07/22 14:34:15 - mmengine - INFO - Epoch(train) [3][1020/3757] lr: 1.0000e-02 eta: 1 day, 0:36:00 time: 0.2340 data_time: 0.0181 memory: 6108 grad_norm: 6.0331 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8905 loss: 2.8905 2022/07/22 14:34:19 - mmengine - INFO - Epoch(train) [3][1040/3757] lr: 1.0000e-02 eta: 1 day, 0:35:37 time: 0.2196 data_time: 0.0223 memory: 6108 grad_norm: 6.1181 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1679 loss: 3.1679 2022/07/22 14:34:23 - mmengine - INFO - Epoch(train) [3][1060/3757] lr: 1.0000e-02 eta: 1 day, 0:35:14 time: 0.2196 data_time: 0.0185 memory: 6108 grad_norm: 6.0141 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1456 loss: 3.1456 2022/07/22 14:34:28 - mmengine - INFO - Epoch(train) [3][1080/3757] lr: 1.0000e-02 eta: 1 day, 0:35:17 time: 0.2510 data_time: 0.0545 memory: 6108 grad_norm: 6.0466 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9472 loss: 2.9472 2022/07/22 14:34:33 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.0000e-02 eta: 1 day, 0:35:11 time: 0.2399 data_time: 0.0391 memory: 6108 grad_norm: 5.9587 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0004 loss: 3.0004 2022/07/22 14:34:38 - mmengine - INFO - Epoch(train) [3][1120/3757] lr: 1.0000e-02 eta: 1 day, 0:34:58 time: 0.2311 data_time: 0.0217 memory: 6108 grad_norm: 6.0354 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0634 loss: 3.0634 2022/07/22 14:34:42 - mmengine - INFO - Epoch(train) [3][1140/3757] lr: 1.0000e-02 eta: 1 day, 0:34:38 time: 0.2232 data_time: 0.0223 memory: 6108 grad_norm: 6.1319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2467 loss: 3.2467 2022/07/22 14:34:47 - mmengine - INFO - Epoch(train) [3][1160/3757] lr: 1.0000e-02 eta: 1 day, 0:34:35 time: 0.2429 data_time: 0.0202 memory: 6108 grad_norm: 6.0845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1661 loss: 3.1661 2022/07/22 14:34:52 - mmengine - INFO - Epoch(train) [3][1180/3757] lr: 1.0000e-02 eta: 1 day, 0:34:20 time: 0.2299 data_time: 0.0285 memory: 6108 grad_norm: 5.8958 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2170 loss: 3.2170 2022/07/22 14:34:56 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.0000e-02 eta: 1 day, 0:34:09 time: 0.2332 data_time: 0.0237 memory: 6108 grad_norm: 5.9231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4330 loss: 3.4330 2022/07/22 14:35:01 - mmengine - INFO - Epoch(train) [3][1220/3757] lr: 1.0000e-02 eta: 1 day, 0:33:59 time: 0.2347 data_time: 0.0238 memory: 6108 grad_norm: 6.0900 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7703 loss: 2.7703 2022/07/22 14:35:06 - mmengine - INFO - Epoch(train) [3][1240/3757] lr: 1.0000e-02 eta: 1 day, 0:33:43 time: 0.2279 data_time: 0.0267 memory: 6108 grad_norm: 6.0848 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9356 loss: 2.9356 2022/07/22 14:35:10 - mmengine - INFO - Epoch(train) [3][1260/3757] lr: 1.0000e-02 eta: 1 day, 0:33:22 time: 0.2213 data_time: 0.0259 memory: 6108 grad_norm: 6.1897 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2831 loss: 3.2831 2022/07/22 14:35:15 - mmengine - INFO - Epoch(train) [3][1280/3757] lr: 1.0000e-02 eta: 1 day, 0:32:57 time: 0.2177 data_time: 0.0231 memory: 6108 grad_norm: 6.0230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0593 loss: 3.0593 2022/07/22 14:35:19 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.0000e-02 eta: 1 day, 0:32:39 time: 0.2241 data_time: 0.0216 memory: 6108 grad_norm: 6.0170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0680 loss: 3.0680 2022/07/22 14:35:25 - mmengine - INFO - Epoch(train) [3][1320/3757] lr: 1.0000e-02 eta: 1 day, 0:33:04 time: 0.2768 data_time: 0.0169 memory: 6108 grad_norm: 6.0776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6449 loss: 2.6449 2022/07/22 14:35:29 - mmengine - INFO - Epoch(train) [3][1340/3757] lr: 1.0000e-02 eta: 1 day, 0:32:43 time: 0.2219 data_time: 0.0246 memory: 6108 grad_norm: 6.0391 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1502 loss: 3.1502 2022/07/22 14:35:33 - mmengine - INFO - Epoch(train) [3][1360/3757] lr: 1.0000e-02 eta: 1 day, 0:32:21 time: 0.2203 data_time: 0.0245 memory: 6108 grad_norm: 5.9917 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1901 loss: 3.1901 2022/07/22 14:35:38 - mmengine - INFO - Epoch(train) [3][1380/3757] lr: 1.0000e-02 eta: 1 day, 0:31:58 time: 0.2185 data_time: 0.0197 memory: 6108 grad_norm: 6.1446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9275 loss: 2.9275 2022/07/22 14:35:43 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.0000e-02 eta: 1 day, 0:32:12 time: 0.2630 data_time: 0.0257 memory: 6108 grad_norm: 6.1194 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8251 loss: 2.8251 2022/07/22 14:35:48 - mmengine - INFO - Epoch(train) [3][1420/3757] lr: 1.0000e-02 eta: 1 day, 0:32:02 time: 0.2352 data_time: 0.0154 memory: 6108 grad_norm: 6.0809 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0706 loss: 3.0706 2022/07/22 14:35:52 - mmengine - INFO - Epoch(train) [3][1440/3757] lr: 1.0000e-02 eta: 1 day, 0:31:53 time: 0.2360 data_time: 0.0195 memory: 6108 grad_norm: 6.2851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8329 loss: 2.8329 2022/07/22 14:35:57 - mmengine - INFO - Epoch(train) [3][1460/3757] lr: 1.0000e-02 eta: 1 day, 0:31:42 time: 0.2323 data_time: 0.0187 memory: 6108 grad_norm: 6.0735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2491 loss: 3.2491 2022/07/22 14:36:02 - mmengine - INFO - Epoch(train) [3][1480/3757] lr: 1.0000e-02 eta: 1 day, 0:31:35 time: 0.2385 data_time: 0.0277 memory: 6108 grad_norm: 6.1229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9118 loss: 2.9118 2022/07/22 14:36:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:36:06 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.0000e-02 eta: 1 day, 0:31:14 time: 0.2208 data_time: 0.0211 memory: 6108 grad_norm: 6.0439 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0980 loss: 3.0980 2022/07/22 14:36:11 - mmengine - INFO - Epoch(train) [3][1520/3757] lr: 1.0000e-02 eta: 1 day, 0:30:57 time: 0.2257 data_time: 0.0198 memory: 6108 grad_norm: 6.1030 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0515 loss: 3.0515 2022/07/22 14:36:16 - mmengine - INFO - Epoch(train) [3][1540/3757] lr: 1.0000e-02 eta: 1 day, 0:30:59 time: 0.2488 data_time: 0.0179 memory: 6108 grad_norm: 5.9904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0396 loss: 3.0396 2022/07/22 14:36:20 - mmengine - INFO - Epoch(train) [3][1560/3757] lr: 1.0000e-02 eta: 1 day, 0:30:44 time: 0.2285 data_time: 0.0224 memory: 6108 grad_norm: 6.0661 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8825 loss: 2.8825 2022/07/22 14:36:25 - mmengine - INFO - Epoch(train) [3][1580/3757] lr: 1.0000e-02 eta: 1 day, 0:30:27 time: 0.2254 data_time: 0.0204 memory: 6108 grad_norm: 6.0543 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2705 loss: 3.2705 2022/07/22 14:36:29 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.0000e-02 eta: 1 day, 0:30:12 time: 0.2284 data_time: 0.0207 memory: 6108 grad_norm: 5.8726 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1941 loss: 3.1941 2022/07/22 14:36:34 - mmengine - INFO - Epoch(train) [3][1620/3757] lr: 1.0000e-02 eta: 1 day, 0:30:10 time: 0.2441 data_time: 0.0226 memory: 6108 grad_norm: 6.0424 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1915 loss: 3.1915 2022/07/22 14:36:39 - mmengine - INFO - Epoch(train) [3][1640/3757] lr: 1.0000e-02 eta: 1 day, 0:30:07 time: 0.2429 data_time: 0.0237 memory: 6108 grad_norm: 6.1047 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9409 loss: 2.9409 2022/07/22 14:36:44 - mmengine - INFO - Epoch(train) [3][1660/3757] lr: 1.0000e-02 eta: 1 day, 0:29:52 time: 0.2282 data_time: 0.0194 memory: 6108 grad_norm: 6.1288 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0780 loss: 3.0780 2022/07/22 14:36:48 - mmengine - INFO - Epoch(train) [3][1680/3757] lr: 1.0000e-02 eta: 1 day, 0:29:35 time: 0.2250 data_time: 0.0297 memory: 6108 grad_norm: 6.0077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7077 loss: 2.7077 2022/07/22 14:36:53 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.0000e-02 eta: 1 day, 0:29:18 time: 0.2254 data_time: 0.0193 memory: 6108 grad_norm: 5.8989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8018 loss: 2.8018 2022/07/22 14:36:58 - mmengine - INFO - Epoch(train) [3][1720/3757] lr: 1.0000e-02 eta: 1 day, 0:29:13 time: 0.2408 data_time: 0.0389 memory: 6108 grad_norm: 5.9852 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1056 loss: 3.1056 2022/07/22 14:37:03 - mmengine - INFO - Epoch(train) [3][1740/3757] lr: 1.0000e-02 eta: 1 day, 0:29:13 time: 0.2467 data_time: 0.0406 memory: 6108 grad_norm: 5.9472 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1020 loss: 3.1020 2022/07/22 14:37:07 - mmengine - INFO - Epoch(train) [3][1760/3757] lr: 1.0000e-02 eta: 1 day, 0:28:59 time: 0.2288 data_time: 0.0233 memory: 6108 grad_norm: 5.9807 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9918 loss: 2.9918 2022/07/22 14:37:12 - mmengine - INFO - Epoch(train) [3][1780/3757] lr: 1.0000e-02 eta: 1 day, 0:28:41 time: 0.2229 data_time: 0.0183 memory: 6108 grad_norm: 6.0828 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0971 loss: 3.0971 2022/07/22 14:37:16 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.0000e-02 eta: 1 day, 0:28:29 time: 0.2324 data_time: 0.0241 memory: 6108 grad_norm: 5.9848 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9709 loss: 2.9709 2022/07/22 14:37:21 - mmengine - INFO - Epoch(train) [3][1820/3757] lr: 1.0000e-02 eta: 1 day, 0:28:22 time: 0.2373 data_time: 0.0202 memory: 6108 grad_norm: 6.0969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1271 loss: 3.1271 2022/07/22 14:37:25 - mmengine - INFO - Epoch(train) [3][1840/3757] lr: 1.0000e-02 eta: 1 day, 0:28:05 time: 0.2242 data_time: 0.0279 memory: 6108 grad_norm: 5.9297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9422 loss: 2.9422 2022/07/22 14:37:30 - mmengine - INFO - Epoch(train) [3][1860/3757] lr: 1.0000e-02 eta: 1 day, 0:27:59 time: 0.2397 data_time: 0.0294 memory: 6108 grad_norm: 5.9242 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8053 loss: 2.8053 2022/07/22 14:37:35 - mmengine - INFO - Epoch(train) [3][1880/3757] lr: 1.0000e-02 eta: 1 day, 0:27:40 time: 0.2225 data_time: 0.0226 memory: 6108 grad_norm: 5.9531 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0548 loss: 3.0548 2022/07/22 14:37:39 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.0000e-02 eta: 1 day, 0:27:33 time: 0.2377 data_time: 0.0374 memory: 6108 grad_norm: 5.9955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8735 loss: 2.8735 2022/07/22 14:37:44 - mmengine - INFO - Epoch(train) [3][1920/3757] lr: 1.0000e-02 eta: 1 day, 0:27:31 time: 0.2437 data_time: 0.0468 memory: 6108 grad_norm: 5.8677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8352 loss: 2.8352 2022/07/22 14:37:49 - mmengine - INFO - Epoch(train) [3][1940/3757] lr: 1.0000e-02 eta: 1 day, 0:27:19 time: 0.2311 data_time: 0.0297 memory: 6108 grad_norm: 6.1554 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1327 loss: 3.1327 2022/07/22 14:37:54 - mmengine - INFO - Epoch(train) [3][1960/3757] lr: 1.0000e-02 eta: 1 day, 0:27:06 time: 0.2296 data_time: 0.0213 memory: 6108 grad_norm: 6.0595 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9748 loss: 2.9748 2022/07/22 14:37:58 - mmengine - INFO - Epoch(train) [3][1980/3757] lr: 1.0000e-02 eta: 1 day, 0:26:55 time: 0.2324 data_time: 0.0228 memory: 6108 grad_norm: 5.9938 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2425 loss: 3.2425 2022/07/22 14:38:03 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.0000e-02 eta: 1 day, 0:26:41 time: 0.2286 data_time: 0.0224 memory: 6108 grad_norm: 6.1531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6480 loss: 2.6480 2022/07/22 14:38:07 - mmengine - INFO - Epoch(train) [3][2020/3757] lr: 1.0000e-02 eta: 1 day, 0:26:25 time: 0.2253 data_time: 0.0186 memory: 6108 grad_norm: 6.2174 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3357 loss: 3.3357 2022/07/22 14:38:12 - mmengine - INFO - Epoch(train) [3][2040/3757] lr: 1.0000e-02 eta: 1 day, 0:26:26 time: 0.2476 data_time: 0.0228 memory: 6108 grad_norm: 6.2143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.0493 loss: 3.0493 2022/07/22 14:38:17 - mmengine - INFO - Epoch(train) [3][2060/3757] lr: 1.0000e-02 eta: 1 day, 0:26:17 time: 0.2346 data_time: 0.0187 memory: 6108 grad_norm: 6.0677 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.4114 loss: 3.4114 2022/07/22 14:38:22 - mmengine - INFO - Epoch(train) [3][2080/3757] lr: 1.0000e-02 eta: 1 day, 0:26:08 time: 0.2350 data_time: 0.0210 memory: 6108 grad_norm: 5.8201 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7592 loss: 2.7592 2022/07/22 14:38:26 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.0000e-02 eta: 1 day, 0:25:54 time: 0.2283 data_time: 0.0221 memory: 6108 grad_norm: 5.9036 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2793 loss: 3.2793 2022/07/22 14:38:31 - mmengine - INFO - Epoch(train) [3][2120/3757] lr: 1.0000e-02 eta: 1 day, 0:25:58 time: 0.2518 data_time: 0.0268 memory: 6108 grad_norm: 5.9480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8752 loss: 2.8752 2022/07/22 14:38:36 - mmengine - INFO - Epoch(train) [3][2140/3757] lr: 1.0000e-02 eta: 1 day, 0:25:35 time: 0.2169 data_time: 0.0220 memory: 6108 grad_norm: 6.2453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8325 loss: 2.8325 2022/07/22 14:38:40 - mmengine - INFO - Epoch(train) [3][2160/3757] lr: 1.0000e-02 eta: 1 day, 0:25:15 time: 0.2197 data_time: 0.0240 memory: 6108 grad_norm: 6.0451 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1156 loss: 3.1156 2022/07/22 14:38:45 - mmengine - INFO - Epoch(train) [3][2180/3757] lr: 1.0000e-02 eta: 1 day, 0:25:09 time: 0.2391 data_time: 0.0188 memory: 6108 grad_norm: 5.9761 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0305 loss: 3.0305 2022/07/22 14:38:49 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.0000e-02 eta: 1 day, 0:24:47 time: 0.2168 data_time: 0.0191 memory: 6108 grad_norm: 6.0562 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9154 loss: 2.9154 2022/07/22 14:38:53 - mmengine - INFO - Epoch(train) [3][2220/3757] lr: 1.0000e-02 eta: 1 day, 0:24:29 time: 0.2225 data_time: 0.0245 memory: 6108 grad_norm: 5.9246 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1750 loss: 3.1750 2022/07/22 14:38:58 - mmengine - INFO - Epoch(train) [3][2240/3757] lr: 1.0000e-02 eta: 1 day, 0:24:17 time: 0.2315 data_time: 0.0190 memory: 6108 grad_norm: 5.9674 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9475 loss: 2.9475 2022/07/22 14:39:03 - mmengine - INFO - Epoch(train) [3][2260/3757] lr: 1.0000e-02 eta: 1 day, 0:24:20 time: 0.2496 data_time: 0.0204 memory: 6108 grad_norm: 5.8899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7249 loss: 2.7249 2022/07/22 14:39:08 - mmengine - INFO - Epoch(train) [3][2280/3757] lr: 1.0000e-02 eta: 1 day, 0:24:06 time: 0.2279 data_time: 0.0283 memory: 6108 grad_norm: 6.1457 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3289 loss: 3.3289 2022/07/22 14:39:12 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.0000e-02 eta: 1 day, 0:23:56 time: 0.2330 data_time: 0.0184 memory: 6108 grad_norm: 6.0108 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2678 loss: 3.2678 2022/07/22 14:39:18 - mmengine - INFO - Epoch(train) [3][2320/3757] lr: 1.0000e-02 eta: 1 day, 0:24:15 time: 0.2729 data_time: 0.0232 memory: 6108 grad_norm: 5.9182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0415 loss: 3.0415 2022/07/22 14:39:23 - mmengine - INFO - Epoch(train) [3][2340/3757] lr: 1.0000e-02 eta: 1 day, 0:24:07 time: 0.2353 data_time: 0.0219 memory: 6108 grad_norm: 6.0382 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8839 loss: 2.8839 2022/07/22 14:39:27 - mmengine - INFO - Epoch(train) [3][2360/3757] lr: 1.0000e-02 eta: 1 day, 0:23:49 time: 0.2225 data_time: 0.0250 memory: 6108 grad_norm: 5.9860 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9597 loss: 2.9597 2022/07/22 14:39:32 - mmengine - INFO - Epoch(train) [3][2380/3757] lr: 1.0000e-02 eta: 1 day, 0:23:53 time: 0.2515 data_time: 0.0189 memory: 6108 grad_norm: 5.9010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8529 loss: 2.8529 2022/07/22 14:39:37 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.0000e-02 eta: 1 day, 0:23:42 time: 0.2324 data_time: 0.0223 memory: 6108 grad_norm: 5.8889 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2140 loss: 3.2140 2022/07/22 14:39:41 - mmengine - INFO - Epoch(train) [3][2420/3757] lr: 1.0000e-02 eta: 1 day, 0:23:39 time: 0.2419 data_time: 0.0189 memory: 6108 grad_norm: 5.9933 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0148 loss: 3.0148 2022/07/22 14:39:46 - mmengine - INFO - Epoch(train) [3][2440/3757] lr: 1.0000e-02 eta: 1 day, 0:23:22 time: 0.2236 data_time: 0.0188 memory: 6108 grad_norm: 6.0969 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0845 loss: 3.0845 2022/07/22 14:39:50 - mmengine - INFO - Epoch(train) [3][2460/3757] lr: 1.0000e-02 eta: 1 day, 0:23:05 time: 0.2231 data_time: 0.0216 memory: 6108 grad_norm: 5.9233 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6913 loss: 2.6913 2022/07/22 14:39:55 - mmengine - INFO - Epoch(train) [3][2480/3757] lr: 1.0000e-02 eta: 1 day, 0:22:48 time: 0.2241 data_time: 0.0209 memory: 6108 grad_norm: 5.8912 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9498 loss: 2.9498 2022/07/22 14:39:58 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:40:01 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.0000e-02 eta: 1 day, 0:23:24 time: 0.2959 data_time: 0.1042 memory: 6108 grad_norm: 6.0399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0199 loss: 3.0199 2022/07/22 14:40:05 - mmengine - INFO - Epoch(train) [3][2520/3757] lr: 1.0000e-02 eta: 1 day, 0:23:07 time: 0.2232 data_time: 0.0226 memory: 6108 grad_norm: 5.8525 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0573 loss: 3.0573 2022/07/22 14:40:10 - mmengine - INFO - Epoch(train) [3][2540/3757] lr: 1.0000e-02 eta: 1 day, 0:22:49 time: 0.2226 data_time: 0.0245 memory: 6108 grad_norm: 5.9130 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0367 loss: 3.0367 2022/07/22 14:40:14 - mmengine - INFO - Epoch(train) [3][2560/3757] lr: 1.0000e-02 eta: 1 day, 0:22:34 time: 0.2249 data_time: 0.0240 memory: 6108 grad_norm: 6.0634 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1497 loss: 3.1497 2022/07/22 14:40:19 - mmengine - INFO - Epoch(train) [3][2580/3757] lr: 1.0000e-02 eta: 1 day, 0:22:19 time: 0.2262 data_time: 0.0222 memory: 6108 grad_norm: 5.9588 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0236 loss: 3.0236 2022/07/22 14:40:24 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.0000e-02 eta: 1 day, 0:22:20 time: 0.2487 data_time: 0.0198 memory: 6108 grad_norm: 5.9207 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9557 loss: 2.9557 2022/07/22 14:40:28 - mmengine - INFO - Epoch(train) [3][2620/3757] lr: 1.0000e-02 eta: 1 day, 0:22:01 time: 0.2197 data_time: 0.0206 memory: 6108 grad_norm: 6.0508 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2176 loss: 3.2176 2022/07/22 14:40:33 - mmengine - INFO - Epoch(train) [3][2640/3757] lr: 1.0000e-02 eta: 1 day, 0:21:43 time: 0.2218 data_time: 0.0214 memory: 6108 grad_norm: 6.0450 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2642 loss: 3.2642 2022/07/22 14:40:37 - mmengine - INFO - Epoch(train) [3][2660/3757] lr: 1.0000e-02 eta: 1 day, 0:21:33 time: 0.2325 data_time: 0.0240 memory: 6108 grad_norm: 5.9355 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2664 loss: 3.2664 2022/07/22 14:40:42 - mmengine - INFO - Epoch(train) [3][2680/3757] lr: 1.0000e-02 eta: 1 day, 0:21:23 time: 0.2332 data_time: 0.0245 memory: 6108 grad_norm: 5.7949 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0226 loss: 3.0226 2022/07/22 14:40:46 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.0000e-02 eta: 1 day, 0:21:07 time: 0.2240 data_time: 0.0251 memory: 6108 grad_norm: 5.7337 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0278 loss: 3.0278 2022/07/22 14:40:51 - mmengine - INFO - Epoch(train) [3][2720/3757] lr: 1.0000e-02 eta: 1 day, 0:20:50 time: 0.2231 data_time: 0.0209 memory: 6108 grad_norm: 5.7377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7626 loss: 2.7626 2022/07/22 14:40:55 - mmengine - INFO - Epoch(train) [3][2740/3757] lr: 1.0000e-02 eta: 1 day, 0:20:28 time: 0.2153 data_time: 0.0201 memory: 6108 grad_norm: 6.1603 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9765 loss: 2.9765 2022/07/22 14:41:00 - mmengine - INFO - Epoch(train) [3][2760/3757] lr: 1.0000e-02 eta: 1 day, 0:20:19 time: 0.2342 data_time: 0.0268 memory: 6108 grad_norm: 6.0292 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9569 loss: 2.9569 2022/07/22 14:41:04 - mmengine - INFO - Epoch(train) [3][2780/3757] lr: 1.0000e-02 eta: 1 day, 0:20:09 time: 0.2320 data_time: 0.0205 memory: 6108 grad_norm: 6.0685 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9035 loss: 2.9035 2022/07/22 14:41:09 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.0000e-02 eta: 1 day, 0:20:00 time: 0.2342 data_time: 0.0190 memory: 6108 grad_norm: 5.8569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7653 loss: 2.7653 2022/07/22 14:41:14 - mmengine - INFO - Epoch(train) [3][2820/3757] lr: 1.0000e-02 eta: 1 day, 0:20:04 time: 0.2513 data_time: 0.0202 memory: 6108 grad_norm: 5.9105 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1394 loss: 3.1394 2022/07/22 14:41:19 - mmengine - INFO - Epoch(train) [3][2840/3757] lr: 1.0000e-02 eta: 1 day, 0:19:43 time: 0.2172 data_time: 0.0233 memory: 6108 grad_norm: 6.0424 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8573 loss: 2.8573 2022/07/22 14:41:24 - mmengine - INFO - Epoch(train) [3][2860/3757] lr: 1.0000e-02 eta: 1 day, 0:19:46 time: 0.2514 data_time: 0.0421 memory: 6108 grad_norm: 6.0394 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0628 loss: 3.0628 2022/07/22 14:41:28 - mmengine - INFO - Epoch(train) [3][2880/3757] lr: 1.0000e-02 eta: 1 day, 0:19:34 time: 0.2292 data_time: 0.0336 memory: 6108 grad_norm: 6.1147 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3073 loss: 3.3073 2022/07/22 14:41:33 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.0000e-02 eta: 1 day, 0:19:15 time: 0.2187 data_time: 0.0154 memory: 6108 grad_norm: 5.9951 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9622 loss: 2.9622 2022/07/22 14:41:37 - mmengine - INFO - Epoch(train) [3][2920/3757] lr: 1.0000e-02 eta: 1 day, 0:19:16 time: 0.2483 data_time: 0.0151 memory: 6108 grad_norm: 5.9521 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3600 loss: 3.3600 2022/07/22 14:41:42 - mmengine - INFO - Epoch(train) [3][2940/3757] lr: 1.0000e-02 eta: 1 day, 0:19:04 time: 0.2303 data_time: 0.0203 memory: 6108 grad_norm: 6.0460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8193 loss: 2.8193 2022/07/22 14:41:47 - mmengine - INFO - Epoch(train) [3][2960/3757] lr: 1.0000e-02 eta: 1 day, 0:18:47 time: 0.2216 data_time: 0.0192 memory: 6108 grad_norm: 6.0534 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2817 loss: 3.2817 2022/07/22 14:41:51 - mmengine - INFO - Epoch(train) [3][2980/3757] lr: 1.0000e-02 eta: 1 day, 0:18:31 time: 0.2236 data_time: 0.0181 memory: 6108 grad_norm: 5.6920 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0095 loss: 3.0095 2022/07/22 14:41:56 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.0000e-02 eta: 1 day, 0:18:24 time: 0.2372 data_time: 0.0205 memory: 6108 grad_norm: 5.8110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9163 loss: 2.9163 2022/07/22 14:42:00 - mmengine - INFO - Epoch(train) [3][3020/3757] lr: 1.0000e-02 eta: 1 day, 0:18:12 time: 0.2288 data_time: 0.0180 memory: 6108 grad_norm: 5.9047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9280 loss: 2.9280 2022/07/22 14:42:05 - mmengine - INFO - Epoch(train) [3][3040/3757] lr: 1.0000e-02 eta: 1 day, 0:17:56 time: 0.2229 data_time: 0.0202 memory: 6108 grad_norm: 5.7424 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7021 loss: 2.7021 2022/07/22 14:42:09 - mmengine - INFO - Epoch(train) [3][3060/3757] lr: 1.0000e-02 eta: 1 day, 0:17:45 time: 0.2311 data_time: 0.0217 memory: 6108 grad_norm: 5.8840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9510 loss: 2.9510 2022/07/22 14:42:14 - mmengine - INFO - Epoch(train) [3][3080/3757] lr: 1.0000e-02 eta: 1 day, 0:17:39 time: 0.2375 data_time: 0.0249 memory: 6108 grad_norm: 6.1427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7623 loss: 2.7623 2022/07/22 14:42:19 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.0000e-02 eta: 1 day, 0:17:21 time: 0.2204 data_time: 0.0201 memory: 6108 grad_norm: 5.8968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.1429 loss: 3.1429 2022/07/22 14:42:23 - mmengine - INFO - Epoch(train) [3][3120/3757] lr: 1.0000e-02 eta: 1 day, 0:17:19 time: 0.2429 data_time: 0.0249 memory: 6108 grad_norm: 5.7374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8015 loss: 2.8015 2022/07/22 14:42:28 - mmengine - INFO - Epoch(train) [3][3140/3757] lr: 1.0000e-02 eta: 1 day, 0:17:01 time: 0.2212 data_time: 0.0173 memory: 6108 grad_norm: 5.8213 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0535 loss: 3.0535 2022/07/22 14:42:32 - mmengine - INFO - Epoch(train) [3][3160/3757] lr: 1.0000e-02 eta: 1 day, 0:16:45 time: 0.2226 data_time: 0.0246 memory: 6108 grad_norm: 5.8989 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0814 loss: 3.0814 2022/07/22 14:42:37 - mmengine - INFO - Epoch(train) [3][3180/3757] lr: 1.0000e-02 eta: 1 day, 0:16:29 time: 0.2232 data_time: 0.0249 memory: 6108 grad_norm: 5.8945 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0450 loss: 3.0450 2022/07/22 14:42:42 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.0000e-02 eta: 1 day, 0:16:23 time: 0.2375 data_time: 0.0219 memory: 6108 grad_norm: 5.8731 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8382 loss: 2.8382 2022/07/22 14:42:46 - mmengine - INFO - Epoch(train) [3][3220/3757] lr: 1.0000e-02 eta: 1 day, 0:16:07 time: 0.2231 data_time: 0.0174 memory: 6108 grad_norm: 5.8602 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7735 loss: 2.7735 2022/07/22 14:42:51 - mmengine - INFO - Epoch(train) [3][3240/3757] lr: 1.0000e-02 eta: 1 day, 0:16:02 time: 0.2387 data_time: 0.0243 memory: 6108 grad_norm: 5.8839 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0202 loss: 3.0202 2022/07/22 14:42:55 - mmengine - INFO - Epoch(train) [3][3260/3757] lr: 1.0000e-02 eta: 1 day, 0:15:49 time: 0.2270 data_time: 0.0159 memory: 6108 grad_norm: 5.9323 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9251 loss: 2.9251 2022/07/22 14:43:00 - mmengine - INFO - Epoch(train) [3][3280/3757] lr: 1.0000e-02 eta: 1 day, 0:15:39 time: 0.2318 data_time: 0.0171 memory: 6108 grad_norm: 5.8876 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1451 loss: 3.1451 2022/07/22 14:43:05 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.0000e-02 eta: 1 day, 0:15:32 time: 0.2364 data_time: 0.0226 memory: 6108 grad_norm: 5.9481 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7772 loss: 2.7772 2022/07/22 14:43:09 - mmengine - INFO - Epoch(train) [3][3320/3757] lr: 1.0000e-02 eta: 1 day, 0:15:16 time: 0.2224 data_time: 0.0195 memory: 6108 grad_norm: 5.8430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9332 loss: 2.9332 2022/07/22 14:43:14 - mmengine - INFO - Epoch(train) [3][3340/3757] lr: 1.0000e-02 eta: 1 day, 0:15:15 time: 0.2459 data_time: 0.0173 memory: 6108 grad_norm: 6.0493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9565 loss: 2.9565 2022/07/22 14:43:19 - mmengine - INFO - Epoch(train) [3][3360/3757] lr: 1.0000e-02 eta: 1 day, 0:15:07 time: 0.2332 data_time: 0.0267 memory: 6108 grad_norm: 6.0061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0419 loss: 3.0419 2022/07/22 14:43:23 - mmengine - INFO - Epoch(train) [3][3380/3757] lr: 1.0000e-02 eta: 1 day, 0:14:54 time: 0.2282 data_time: 0.0209 memory: 6108 grad_norm: 5.8627 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2329 loss: 3.2329 2022/07/22 14:43:28 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.0000e-02 eta: 1 day, 0:14:37 time: 0.2212 data_time: 0.0199 memory: 6108 grad_norm: 5.7544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9705 loss: 2.9705 2022/07/22 14:43:33 - mmengine - INFO - Epoch(train) [3][3420/3757] lr: 1.0000e-02 eta: 1 day, 0:14:46 time: 0.2597 data_time: 0.0196 memory: 6108 grad_norm: 5.9271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1147 loss: 3.1147 2022/07/22 14:43:38 - mmengine - INFO - Epoch(train) [3][3440/3757] lr: 1.0000e-02 eta: 1 day, 0:14:37 time: 0.2320 data_time: 0.0165 memory: 6108 grad_norm: 5.8797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0978 loss: 3.0978 2022/07/22 14:43:43 - mmengine - INFO - Epoch(train) [3][3460/3757] lr: 1.0000e-02 eta: 1 day, 0:14:41 time: 0.2530 data_time: 0.0174 memory: 6108 grad_norm: 5.7663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8162 loss: 2.8162 2022/07/22 14:43:47 - mmengine - INFO - Epoch(train) [3][3480/3757] lr: 1.0000e-02 eta: 1 day, 0:14:27 time: 0.2250 data_time: 0.0269 memory: 6108 grad_norm: 5.8654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0197 loss: 3.0197 2022/07/22 14:43:48 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:43:52 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.0000e-02 eta: 1 day, 0:14:12 time: 0.2241 data_time: 0.0229 memory: 6108 grad_norm: 5.8622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8277 loss: 2.8277 2022/07/22 14:43:56 - mmengine - INFO - Epoch(train) [3][3520/3757] lr: 1.0000e-02 eta: 1 day, 0:14:08 time: 0.2411 data_time: 0.0196 memory: 6108 grad_norm: 5.8807 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0050 loss: 3.0050 2022/07/22 14:44:01 - mmengine - INFO - Epoch(train) [3][3540/3757] lr: 1.0000e-02 eta: 1 day, 0:13:56 time: 0.2280 data_time: 0.0250 memory: 6108 grad_norm: 5.7784 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2683 loss: 3.2683 2022/07/22 14:44:05 - mmengine - INFO - Epoch(train) [3][3560/3757] lr: 1.0000e-02 eta: 1 day, 0:13:38 time: 0.2195 data_time: 0.0204 memory: 6108 grad_norm: 5.9893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8613 loss: 2.8613 2022/07/22 14:44:10 - mmengine - INFO - Epoch(train) [3][3580/3757] lr: 1.0000e-02 eta: 1 day, 0:13:21 time: 0.2206 data_time: 0.0189 memory: 6108 grad_norm: 5.9961 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1904 loss: 3.1904 2022/07/22 14:44:14 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.0000e-02 eta: 1 day, 0:13:08 time: 0.2268 data_time: 0.0232 memory: 6108 grad_norm: 6.0138 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7410 loss: 2.7410 2022/07/22 14:44:19 - mmengine - INFO - Epoch(train) [3][3620/3757] lr: 1.0000e-02 eta: 1 day, 0:13:05 time: 0.2416 data_time: 0.0194 memory: 6108 grad_norm: 5.8751 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7956 loss: 2.7956 2022/07/22 14:44:24 - mmengine - INFO - Epoch(train) [3][3640/3757] lr: 1.0000e-02 eta: 1 day, 0:13:06 time: 0.2474 data_time: 0.0153 memory: 6108 grad_norm: 6.0503 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3362 loss: 3.3362 2022/07/22 14:44:29 - mmengine - INFO - Epoch(train) [3][3660/3757] lr: 1.0000e-02 eta: 1 day, 0:13:00 time: 0.2380 data_time: 0.0239 memory: 6108 grad_norm: 5.8382 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8674 loss: 2.8674 2022/07/22 14:44:34 - mmengine - INFO - Epoch(train) [3][3680/3757] lr: 1.0000e-02 eta: 1 day, 0:12:56 time: 0.2395 data_time: 0.0232 memory: 6108 grad_norm: 6.0937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0267 loss: 3.0267 2022/07/22 14:44:38 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.0000e-02 eta: 1 day, 0:12:39 time: 0.2209 data_time: 0.0203 memory: 6108 grad_norm: 6.0751 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0538 loss: 3.0538 2022/07/22 14:44:43 - mmengine - INFO - Epoch(train) [3][3720/3757] lr: 1.0000e-02 eta: 1 day, 0:12:42 time: 0.2508 data_time: 0.0213 memory: 6108 grad_norm: 6.1243 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9258 loss: 2.9258 2022/07/22 14:44:48 - mmengine - INFO - Epoch(train) [3][3740/3757] lr: 1.0000e-02 eta: 1 day, 0:12:27 time: 0.2229 data_time: 0.0206 memory: 6108 grad_norm: 6.0597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6187 loss: 2.6187 2022/07/22 14:44:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:44:51 - mmengine - INFO - Epoch(train) [3][3757/3757] lr: 1.0000e-02 eta: 1 day, 0:12:27 time: 0.1975 data_time: 0.0179 memory: 6108 grad_norm: 6.0308 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.8704 loss: 2.8704 2022/07/22 14:44:57 - mmengine - INFO - Epoch(val) [3][20/310] eta: 0:01:31 time: 0.3153 data_time: 0.2358 memory: 1428 2022/07/22 14:45:01 - mmengine - INFO - Epoch(val) [3][40/310] eta: 0:00:50 time: 0.1862 data_time: 0.1048 memory: 1428 2022/07/22 14:45:06 - mmengine - INFO - Epoch(val) [3][60/310] eta: 0:00:57 time: 0.2300 data_time: 0.1505 memory: 1428 2022/07/22 14:45:09 - mmengine - INFO - Epoch(val) [3][80/310] eta: 0:00:45 time: 0.1988 data_time: 0.1202 memory: 1428 2022/07/22 14:45:14 - mmengine - INFO - Epoch(val) [3][100/310] eta: 0:00:46 time: 0.2222 data_time: 0.1425 memory: 1428 2022/07/22 14:45:18 - mmengine - INFO - Epoch(val) [3][120/310] eta: 0:00:38 time: 0.2006 data_time: 0.1238 memory: 1428 2022/07/22 14:45:24 - mmengine - INFO - Epoch(val) [3][140/310] eta: 0:00:52 time: 0.3085 data_time: 0.2309 memory: 1428 2022/07/22 14:45:28 - mmengine - INFO - Epoch(val) [3][160/310] eta: 0:00:27 time: 0.1813 data_time: 0.1028 memory: 1428 2022/07/22 14:45:33 - mmengine - INFO - Epoch(val) [3][180/310] eta: 0:00:34 time: 0.2645 data_time: 0.1914 memory: 1428 2022/07/22 14:45:37 - mmengine - INFO - Epoch(val) [3][200/310] eta: 0:00:20 time: 0.1856 data_time: 0.1113 memory: 1428 2022/07/22 14:45:41 - mmengine - INFO - Epoch(val) [3][220/310] eta: 0:00:21 time: 0.2339 data_time: 0.1562 memory: 1428 2022/07/22 14:45:45 - mmengine - INFO - Epoch(val) [3][240/310] eta: 0:00:13 time: 0.1917 data_time: 0.1166 memory: 1428 2022/07/22 14:45:50 - mmengine - INFO - Epoch(val) [3][260/310] eta: 0:00:12 time: 0.2448 data_time: 0.1688 memory: 1428 2022/07/22 14:45:54 - mmengine - INFO - Epoch(val) [3][280/310] eta: 0:00:05 time: 0.1932 data_time: 0.1191 memory: 1428 2022/07/22 14:45:58 - mmengine - INFO - Epoch(val) [3][300/310] eta: 0:00:02 time: 0.2188 data_time: 0.1461 memory: 1428 2022/07/22 14:46:01 - mmengine - INFO - Epoch(val) [3][310/310] acc/top1: 0.3949 acc/top5: 0.6734 acc/mean1: 0.3948 2022/07/22 14:46:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/07/22 14:46:03 - mmengine - INFO - The best checkpoint with 0.3949 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/22 14:46:09 - mmengine - INFO - Epoch(train) [4][20/3757] lr: 1.0000e-02 eta: 1 day, 0:10:34 time: 0.2820 data_time: 0.0901 memory: 6108 grad_norm: 5.9269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7478 loss: 2.7478 2022/07/22 14:46:13 - mmengine - INFO - Epoch(train) [4][40/3757] lr: 1.0000e-02 eta: 1 day, 0:10:18 time: 0.2210 data_time: 0.0221 memory: 6108 grad_norm: 6.1125 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8734 loss: 2.8734 2022/07/22 14:46:19 - mmengine - INFO - Epoch(train) [4][60/3757] lr: 1.0000e-02 eta: 1 day, 0:10:28 time: 0.2619 data_time: 0.0191 memory: 6108 grad_norm: 6.0128 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9848 loss: 2.9848 2022/07/22 14:46:23 - mmengine - INFO - Epoch(train) [4][80/3757] lr: 1.0000e-02 eta: 1 day, 0:10:12 time: 0.2217 data_time: 0.0220 memory: 6108 grad_norm: 5.9497 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5289 loss: 2.5289 2022/07/22 14:46:29 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.0000e-02 eta: 1 day, 0:10:34 time: 0.2795 data_time: 0.0206 memory: 6108 grad_norm: 5.8683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7963 loss: 2.7963 2022/07/22 14:46:33 - mmengine - INFO - Epoch(train) [4][120/3757] lr: 1.0000e-02 eta: 1 day, 0:10:23 time: 0.2301 data_time: 0.0202 memory: 6108 grad_norm: 6.0819 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9109 loss: 2.9109 2022/07/22 14:46:38 - mmengine - INFO - Epoch(train) [4][140/3757] lr: 1.0000e-02 eta: 1 day, 0:10:12 time: 0.2294 data_time: 0.0197 memory: 6108 grad_norm: 5.8598 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6893 loss: 2.6893 2022/07/22 14:46:43 - mmengine - INFO - Epoch(train) [4][160/3757] lr: 1.0000e-02 eta: 1 day, 0:10:13 time: 0.2472 data_time: 0.0160 memory: 6108 grad_norm: 5.9591 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8922 loss: 2.8922 2022/07/22 14:46:47 - mmengine - INFO - Epoch(train) [4][180/3757] lr: 1.0000e-02 eta: 1 day, 0:09:58 time: 0.2237 data_time: 0.0190 memory: 6108 grad_norm: 5.9101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8302 loss: 2.8302 2022/07/22 14:46:52 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.0000e-02 eta: 1 day, 0:09:50 time: 0.2331 data_time: 0.0199 memory: 6108 grad_norm: 6.1222 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0601 loss: 3.0601 2022/07/22 14:46:57 - mmengine - INFO - Epoch(train) [4][220/3757] lr: 1.0000e-02 eta: 1 day, 0:09:43 time: 0.2347 data_time: 0.0171 memory: 6108 grad_norm: 5.8637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8850 loss: 2.8850 2022/07/22 14:47:01 - mmengine - INFO - Epoch(train) [4][240/3757] lr: 1.0000e-02 eta: 1 day, 0:09:29 time: 0.2254 data_time: 0.0226 memory: 6108 grad_norm: 5.9054 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7620 loss: 2.7620 2022/07/22 14:47:05 - mmengine - INFO - Epoch(train) [4][260/3757] lr: 1.0000e-02 eta: 1 day, 0:09:13 time: 0.2207 data_time: 0.0215 memory: 6108 grad_norm: 6.1397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0603 loss: 3.0603 2022/07/22 14:47:10 - mmengine - INFO - Epoch(train) [4][280/3757] lr: 1.0000e-02 eta: 1 day, 0:09:14 time: 0.2483 data_time: 0.0459 memory: 6108 grad_norm: 5.8963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9986 loss: 2.9986 2022/07/22 14:47:15 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.0000e-02 eta: 1 day, 0:08:57 time: 0.2192 data_time: 0.0199 memory: 6108 grad_norm: 5.9917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8141 loss: 2.8141 2022/07/22 14:47:20 - mmengine - INFO - Epoch(train) [4][320/3757] lr: 1.0000e-02 eta: 1 day, 0:08:53 time: 0.2390 data_time: 0.0214 memory: 6108 grad_norm: 6.0346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1340 loss: 3.1340 2022/07/22 14:47:24 - mmengine - INFO - Epoch(train) [4][340/3757] lr: 1.0000e-02 eta: 1 day, 0:08:38 time: 0.2232 data_time: 0.0195 memory: 6108 grad_norm: 6.0647 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9033 loss: 2.9033 2022/07/22 14:47:29 - mmengine - INFO - Epoch(train) [4][360/3757] lr: 1.0000e-02 eta: 1 day, 0:08:24 time: 0.2236 data_time: 0.0250 memory: 6108 grad_norm: 6.0544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8507 loss: 2.8507 2022/07/22 14:47:33 - mmengine - INFO - Epoch(train) [4][380/3757] lr: 1.0000e-02 eta: 1 day, 0:08:11 time: 0.2253 data_time: 0.0304 memory: 6108 grad_norm: 6.0650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9086 loss: 2.9086 2022/07/22 14:47:38 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.0000e-02 eta: 1 day, 0:08:01 time: 0.2308 data_time: 0.0166 memory: 6108 grad_norm: 5.8384 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8114 loss: 2.8114 2022/07/22 14:47:42 - mmengine - INFO - Epoch(train) [4][420/3757] lr: 1.0000e-02 eta: 1 day, 0:07:48 time: 0.2261 data_time: 0.0234 memory: 6108 grad_norm: 5.8047 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8295 loss: 2.8295 2022/07/22 14:47:47 - mmengine - INFO - Epoch(train) [4][440/3757] lr: 1.0000e-02 eta: 1 day, 0:07:36 time: 0.2271 data_time: 0.0210 memory: 6108 grad_norm: 5.9511 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8249 loss: 2.8249 2022/07/22 14:47:52 - mmengine - INFO - Epoch(train) [4][460/3757] lr: 1.0000e-02 eta: 1 day, 0:07:38 time: 0.2482 data_time: 0.0209 memory: 6108 grad_norm: 5.8855 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9922 loss: 2.9922 2022/07/22 14:47:56 - mmengine - INFO - Epoch(train) [4][480/3757] lr: 1.0000e-02 eta: 1 day, 0:07:25 time: 0.2264 data_time: 0.0245 memory: 6108 grad_norm: 5.8191 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6819 loss: 2.6819 2022/07/22 14:48:01 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.0000e-02 eta: 1 day, 0:07:19 time: 0.2356 data_time: 0.0202 memory: 6108 grad_norm: 6.0787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8118 loss: 2.8118 2022/07/22 14:48:05 - mmengine - INFO - Epoch(train) [4][520/3757] lr: 1.0000e-02 eta: 1 day, 0:07:07 time: 0.2272 data_time: 0.0157 memory: 6108 grad_norm: 5.9414 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0482 loss: 3.0482 2022/07/22 14:48:10 - mmengine - INFO - Epoch(train) [4][540/3757] lr: 1.0000e-02 eta: 1 day, 0:07:03 time: 0.2406 data_time: 0.0248 memory: 6108 grad_norm: 5.8923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6947 loss: 2.6947 2022/07/22 14:48:15 - mmengine - INFO - Epoch(train) [4][560/3757] lr: 1.0000e-02 eta: 1 day, 0:06:58 time: 0.2372 data_time: 0.0189 memory: 6108 grad_norm: 5.9480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8641 loss: 2.8641 2022/07/22 14:48:20 - mmengine - INFO - Epoch(train) [4][580/3757] lr: 1.0000e-02 eta: 1 day, 0:07:03 time: 0.2553 data_time: 0.0239 memory: 6108 grad_norm: 6.0433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8354 loss: 2.8354 2022/07/22 14:48:25 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.0000e-02 eta: 1 day, 0:06:51 time: 0.2268 data_time: 0.0245 memory: 6108 grad_norm: 5.9115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6078 loss: 2.6078 2022/07/22 14:48:29 - mmengine - INFO - Epoch(train) [4][620/3757] lr: 1.0000e-02 eta: 1 day, 0:06:34 time: 0.2181 data_time: 0.0222 memory: 6108 grad_norm: 5.8879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7586 loss: 2.7586 2022/07/22 14:48:33 - mmengine - INFO - Epoch(train) [4][640/3757] lr: 1.0000e-02 eta: 1 day, 0:06:19 time: 0.2224 data_time: 0.0177 memory: 6108 grad_norm: 5.7981 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6473 loss: 2.6473 2022/07/22 14:48:38 - mmengine - INFO - Epoch(train) [4][660/3757] lr: 1.0000e-02 eta: 1 day, 0:06:07 time: 0.2274 data_time: 0.0218 memory: 6108 grad_norm: 5.8248 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9380 loss: 2.9380 2022/07/22 14:48:43 - mmengine - INFO - Epoch(train) [4][680/3757] lr: 1.0000e-02 eta: 1 day, 0:06:21 time: 0.2683 data_time: 0.0166 memory: 6108 grad_norm: 5.8167 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7981 loss: 2.7981 2022/07/22 14:48:48 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.0000e-02 eta: 1 day, 0:06:19 time: 0.2442 data_time: 0.0193 memory: 6108 grad_norm: 5.9124 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9379 loss: 2.9379 2022/07/22 14:48:53 - mmengine - INFO - Epoch(train) [4][720/3757] lr: 1.0000e-02 eta: 1 day, 0:06:03 time: 0.2199 data_time: 0.0256 memory: 6108 grad_norm: 5.8801 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7368 loss: 2.7368 2022/07/22 14:48:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:48:57 - mmengine - INFO - Epoch(train) [4][740/3757] lr: 1.0000e-02 eta: 1 day, 0:05:52 time: 0.2269 data_time: 0.0249 memory: 6108 grad_norm: 5.8381 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6780 loss: 2.6780 2022/07/22 14:49:02 - mmengine - INFO - Epoch(train) [4][760/3757] lr: 1.0000e-02 eta: 1 day, 0:05:41 time: 0.2285 data_time: 0.0164 memory: 6108 grad_norm: 5.8844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6823 loss: 2.6823 2022/07/22 14:49:06 - mmengine - INFO - Epoch(train) [4][780/3757] lr: 1.0000e-02 eta: 1 day, 0:05:25 time: 0.2198 data_time: 0.0228 memory: 6108 grad_norm: 5.9296 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9647 loss: 2.9647 2022/07/22 14:49:11 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.0000e-02 eta: 1 day, 0:05:10 time: 0.2222 data_time: 0.0197 memory: 6108 grad_norm: 5.8592 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2506 loss: 3.2506 2022/07/22 14:49:15 - mmengine - INFO - Epoch(train) [4][820/3757] lr: 1.0000e-02 eta: 1 day, 0:04:59 time: 0.2278 data_time: 0.0205 memory: 6108 grad_norm: 5.8501 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8231 loss: 2.8231 2022/07/22 14:49:20 - mmengine - INFO - Epoch(train) [4][840/3757] lr: 1.0000e-02 eta: 1 day, 0:04:54 time: 0.2377 data_time: 0.0216 memory: 6108 grad_norm: 5.9562 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6798 loss: 2.6798 2022/07/22 14:49:25 - mmengine - INFO - Epoch(train) [4][860/3757] lr: 1.0000e-02 eta: 1 day, 0:04:46 time: 0.2337 data_time: 0.0168 memory: 6108 grad_norm: 5.9269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1095 loss: 3.1095 2022/07/22 14:49:29 - mmengine - INFO - Epoch(train) [4][880/3757] lr: 1.0000e-02 eta: 1 day, 0:04:36 time: 0.2300 data_time: 0.0199 memory: 6108 grad_norm: 5.9470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6824 loss: 2.6824 2022/07/22 14:49:34 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.0000e-02 eta: 1 day, 0:04:25 time: 0.2280 data_time: 0.0269 memory: 6108 grad_norm: 5.9249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7168 loss: 2.7168 2022/07/22 14:49:39 - mmengine - INFO - Epoch(train) [4][920/3757] lr: 1.0000e-02 eta: 1 day, 0:04:26 time: 0.2480 data_time: 0.0216 memory: 6108 grad_norm: 5.8794 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8361 loss: 2.8361 2022/07/22 14:49:43 - mmengine - INFO - Epoch(train) [4][940/3757] lr: 1.0000e-02 eta: 1 day, 0:04:20 time: 0.2353 data_time: 0.0203 memory: 6108 grad_norm: 5.9560 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0672 loss: 3.0672 2022/07/22 14:49:48 - mmengine - INFO - Epoch(train) [4][960/3757] lr: 1.0000e-02 eta: 1 day, 0:04:22 time: 0.2512 data_time: 0.0185 memory: 6108 grad_norm: 5.9492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0260 loss: 3.0260 2022/07/22 14:49:53 - mmengine - INFO - Epoch(train) [4][980/3757] lr: 1.0000e-02 eta: 1 day, 0:04:08 time: 0.2226 data_time: 0.0196 memory: 6108 grad_norm: 5.9486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9494 loss: 2.9494 2022/07/22 14:49:57 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.0000e-02 eta: 1 day, 0:03:50 time: 0.2159 data_time: 0.0214 memory: 6108 grad_norm: 5.8555 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1441 loss: 3.1441 2022/07/22 14:50:02 - mmengine - INFO - Epoch(train) [4][1020/3757] lr: 1.0000e-02 eta: 1 day, 0:03:55 time: 0.2539 data_time: 0.0273 memory: 6108 grad_norm: 5.8673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7057 loss: 2.7057 2022/07/22 14:50:07 - mmengine - INFO - Epoch(train) [4][1040/3757] lr: 1.0000e-02 eta: 1 day, 0:03:40 time: 0.2223 data_time: 0.0239 memory: 6108 grad_norm: 5.8900 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0278 loss: 3.0278 2022/07/22 14:50:12 - mmengine - INFO - Epoch(train) [4][1060/3757] lr: 1.0000e-02 eta: 1 day, 0:03:37 time: 0.2406 data_time: 0.0166 memory: 6108 grad_norm: 5.6681 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9061 loss: 2.9061 2022/07/22 14:50:16 - mmengine - INFO - Epoch(train) [4][1080/3757] lr: 1.0000e-02 eta: 1 day, 0:03:29 time: 0.2341 data_time: 0.0237 memory: 6108 grad_norm: 5.8087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8833 loss: 2.8833 2022/07/22 14:50:21 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.0000e-02 eta: 1 day, 0:03:20 time: 0.2297 data_time: 0.0213 memory: 6108 grad_norm: 5.8931 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8606 loss: 2.8606 2022/07/22 14:50:25 - mmengine - INFO - Epoch(train) [4][1120/3757] lr: 1.0000e-02 eta: 1 day, 0:03:06 time: 0.2224 data_time: 0.0218 memory: 6108 grad_norm: 5.8141 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9075 loss: 2.9075 2022/07/22 14:50:30 - mmengine - INFO - Epoch(train) [4][1140/3757] lr: 1.0000e-02 eta: 1 day, 0:02:56 time: 0.2303 data_time: 0.0208 memory: 6108 grad_norm: 5.9477 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7340 loss: 2.7340 2022/07/22 14:50:35 - mmengine - INFO - Epoch(train) [4][1160/3757] lr: 1.0000e-02 eta: 1 day, 0:02:51 time: 0.2381 data_time: 0.0199 memory: 6108 grad_norm: 6.0234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7847 loss: 2.7847 2022/07/22 14:50:39 - mmengine - INFO - Epoch(train) [4][1180/3757] lr: 1.0000e-02 eta: 1 day, 0:02:41 time: 0.2290 data_time: 0.0233 memory: 6108 grad_norm: 5.9091 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0713 loss: 3.0713 2022/07/22 14:50:44 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.0000e-02 eta: 1 day, 0:02:35 time: 0.2368 data_time: 0.0249 memory: 6108 grad_norm: 5.9380 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0124 loss: 3.0124 2022/07/22 14:50:48 - mmengine - INFO - Epoch(train) [4][1220/3757] lr: 1.0000e-02 eta: 1 day, 0:02:21 time: 0.2226 data_time: 0.0240 memory: 6108 grad_norm: 5.8879 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9771 loss: 2.9771 2022/07/22 14:50:53 - mmengine - INFO - Epoch(train) [4][1240/3757] lr: 1.0000e-02 eta: 1 day, 0:02:13 time: 0.2328 data_time: 0.0188 memory: 6108 grad_norm: 6.0293 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9719 loss: 2.9719 2022/07/22 14:50:58 - mmengine - INFO - Epoch(train) [4][1260/3757] lr: 1.0000e-02 eta: 1 day, 0:02:15 time: 0.2489 data_time: 0.0258 memory: 6108 grad_norm: 5.8982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7792 loss: 2.7792 2022/07/22 14:51:03 - mmengine - INFO - Epoch(train) [4][1280/3757] lr: 1.0000e-02 eta: 1 day, 0:02:08 time: 0.2347 data_time: 0.0228 memory: 6108 grad_norm: 5.6966 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0138 loss: 3.0138 2022/07/22 14:51:08 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.0000e-02 eta: 1 day, 0:02:10 time: 0.2493 data_time: 0.0188 memory: 6108 grad_norm: 5.8686 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7891 loss: 2.7891 2022/07/22 14:51:12 - mmengine - INFO - Epoch(train) [4][1320/3757] lr: 1.0000e-02 eta: 1 day, 0:01:56 time: 0.2225 data_time: 0.0194 memory: 6108 grad_norm: 5.9546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8019 loss: 2.8019 2022/07/22 14:51:17 - mmengine - INFO - Epoch(train) [4][1340/3757] lr: 1.0000e-02 eta: 1 day, 0:01:46 time: 0.2288 data_time: 0.0221 memory: 6108 grad_norm: 5.8101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9563 loss: 2.9563 2022/07/22 14:51:21 - mmengine - INFO - Epoch(train) [4][1360/3757] lr: 1.0000e-02 eta: 1 day, 0:01:30 time: 0.2201 data_time: 0.0185 memory: 6108 grad_norm: 5.8390 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8629 loss: 2.8629 2022/07/22 14:51:27 - mmengine - INFO - Epoch(train) [4][1380/3757] lr: 1.0000e-02 eta: 1 day, 0:01:53 time: 0.2852 data_time: 0.0237 memory: 6108 grad_norm: 6.0255 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9577 loss: 2.9577 2022/07/22 14:51:31 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.0000e-02 eta: 1 day, 0:01:37 time: 0.2203 data_time: 0.0245 memory: 6108 grad_norm: 5.9060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9591 loss: 2.9591 2022/07/22 14:51:36 - mmengine - INFO - Epoch(train) [4][1420/3757] lr: 1.0000e-02 eta: 1 day, 0:01:25 time: 0.2246 data_time: 0.0228 memory: 6108 grad_norm: 5.9005 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.1032 loss: 3.1032 2022/07/22 14:51:41 - mmengine - INFO - Epoch(train) [4][1440/3757] lr: 1.0000e-02 eta: 1 day, 0:01:19 time: 0.2355 data_time: 0.0213 memory: 6108 grad_norm: 5.8988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7975 loss: 2.7975 2022/07/22 14:51:46 - mmengine - INFO - Epoch(train) [4][1460/3757] lr: 1.0000e-02 eta: 1 day, 0:01:34 time: 0.2746 data_time: 0.0751 memory: 6108 grad_norm: 5.8844 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9310 loss: 2.9310 2022/07/22 14:51:51 - mmengine - INFO - Epoch(train) [4][1480/3757] lr: 1.0000e-02 eta: 1 day, 0:01:24 time: 0.2276 data_time: 0.0252 memory: 6108 grad_norm: 5.8480 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6966 loss: 2.6966 2022/07/22 14:51:55 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.0000e-02 eta: 1 day, 0:01:19 time: 0.2385 data_time: 0.0433 memory: 6108 grad_norm: 5.9485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8378 loss: 2.8378 2022/07/22 14:52:00 - mmengine - INFO - Epoch(train) [4][1520/3757] lr: 1.0000e-02 eta: 1 day, 0:01:11 time: 0.2330 data_time: 0.0365 memory: 6108 grad_norm: 5.9976 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0407 loss: 3.0407 2022/07/22 14:52:05 - mmengine - INFO - Epoch(train) [4][1540/3757] lr: 1.0000e-02 eta: 1 day, 0:01:05 time: 0.2351 data_time: 0.0223 memory: 6108 grad_norm: 5.8005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9365 loss: 2.9365 2022/07/22 14:52:09 - mmengine - INFO - Epoch(train) [4][1560/3757] lr: 1.0000e-02 eta: 1 day, 0:00:48 time: 0.2179 data_time: 0.0217 memory: 6108 grad_norm: 5.9185 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8649 loss: 2.8649 2022/07/22 14:52:14 - mmengine - INFO - Epoch(train) [4][1580/3757] lr: 1.0000e-02 eta: 1 day, 0:00:49 time: 0.2469 data_time: 0.0188 memory: 6108 grad_norm: 5.9251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6419 loss: 2.6419 2022/07/22 14:52:19 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.0000e-02 eta: 1 day, 0:00:38 time: 0.2281 data_time: 0.0269 memory: 6108 grad_norm: 5.9579 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6987 loss: 2.6987 2022/07/22 14:52:23 - mmengine - INFO - Epoch(train) [4][1620/3757] lr: 1.0000e-02 eta: 1 day, 0:00:33 time: 0.2379 data_time: 0.0194 memory: 6108 grad_norm: 5.9437 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7909 loss: 2.7909 2022/07/22 14:52:28 - mmengine - INFO - Epoch(train) [4][1640/3757] lr: 1.0000e-02 eta: 1 day, 0:00:21 time: 0.2251 data_time: 0.0170 memory: 6108 grad_norm: 5.9299 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7106 loss: 2.7106 2022/07/22 14:52:32 - mmengine - INFO - Epoch(train) [4][1660/3757] lr: 1.0000e-02 eta: 1 day, 0:00:12 time: 0.2308 data_time: 0.0246 memory: 6108 grad_norm: 5.8927 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8824 loss: 2.8824 2022/07/22 14:52:37 - mmengine - INFO - Epoch(train) [4][1680/3757] lr: 1.0000e-02 eta: 23:59:59 time: 0.2232 data_time: 0.0232 memory: 6108 grad_norm: 5.7883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4030 loss: 2.4030 2022/07/22 14:52:42 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.0000e-02 eta: 1 day, 0:00:03 time: 0.2543 data_time: 0.0208 memory: 6108 grad_norm: 5.9988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5516 loss: 2.5516 2022/07/22 14:52:47 - mmengine - INFO - Epoch(train) [4][1720/3757] lr: 1.0000e-02 eta: 23:59:56 time: 0.2341 data_time: 0.0221 memory: 6108 grad_norm: 5.9812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1365 loss: 3.1365 2022/07/22 14:52:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:52:51 - mmengine - INFO - Epoch(train) [4][1740/3757] lr: 1.0000e-02 eta: 23:59:39 time: 0.2155 data_time: 0.0208 memory: 6108 grad_norm: 5.8715 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7668 loss: 2.7668 2022/07/22 14:52:55 - mmengine - INFO - Epoch(train) [4][1760/3757] lr: 1.0000e-02 eta: 23:59:26 time: 0.2248 data_time: 0.0174 memory: 6108 grad_norm: 5.8363 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5675 loss: 2.5675 2022/07/22 14:53:00 - mmengine - INFO - Epoch(train) [4][1780/3757] lr: 1.0000e-02 eta: 23:59:21 time: 0.2377 data_time: 0.0203 memory: 6108 grad_norm: 5.7622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7933 loss: 2.7933 2022/07/22 14:53:05 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.0000e-02 eta: 23:59:22 time: 0.2485 data_time: 0.0216 memory: 6108 grad_norm: 5.9594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9879 loss: 2.9879 2022/07/22 14:53:10 - mmengine - INFO - Epoch(train) [4][1820/3757] lr: 1.0000e-02 eta: 23:59:09 time: 0.2227 data_time: 0.0175 memory: 6108 grad_norm: 5.8516 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7410 loss: 2.7410 2022/07/22 14:53:14 - mmengine - INFO - Epoch(train) [4][1840/3757] lr: 1.0000e-02 eta: 23:59:05 time: 0.2402 data_time: 0.0415 memory: 6108 grad_norm: 5.8369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7584 loss: 2.7584 2022/07/22 14:53:19 - mmengine - INFO - Epoch(train) [4][1860/3757] lr: 1.0000e-02 eta: 23:59:00 time: 0.2372 data_time: 0.0180 memory: 6108 grad_norm: 5.8637 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8669 loss: 2.8669 2022/07/22 14:53:24 - mmengine - INFO - Epoch(train) [4][1880/3757] lr: 1.0000e-02 eta: 23:58:55 time: 0.2367 data_time: 0.0231 memory: 6108 grad_norm: 5.8242 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8056 loss: 2.8056 2022/07/22 14:53:29 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.0000e-02 eta: 23:58:46 time: 0.2308 data_time: 0.0232 memory: 6108 grad_norm: 5.8992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6677 loss: 2.6677 2022/07/22 14:53:33 - mmengine - INFO - Epoch(train) [4][1920/3757] lr: 1.0000e-02 eta: 23:58:42 time: 0.2406 data_time: 0.0198 memory: 6108 grad_norm: 5.8774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8626 loss: 2.8626 2022/07/22 14:53:38 - mmengine - INFO - Epoch(train) [4][1940/3757] lr: 1.0000e-02 eta: 23:58:30 time: 0.2248 data_time: 0.0198 memory: 6108 grad_norm: 5.8031 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9748 loss: 2.9748 2022/07/22 14:53:43 - mmengine - INFO - Epoch(train) [4][1960/3757] lr: 1.0000e-02 eta: 23:58:34 time: 0.2543 data_time: 0.0220 memory: 6108 grad_norm: 5.7759 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8692 loss: 2.8692 2022/07/22 14:53:47 - mmengine - INFO - Epoch(train) [4][1980/3757] lr: 1.0000e-02 eta: 23:58:18 time: 0.2169 data_time: 0.0176 memory: 6108 grad_norm: 5.7483 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7611 loss: 2.7611 2022/07/22 14:53:52 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.0000e-02 eta: 23:58:12 time: 0.2357 data_time: 0.0210 memory: 6108 grad_norm: 5.9056 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7346 loss: 2.7346 2022/07/22 14:53:56 - mmengine - INFO - Epoch(train) [4][2020/3757] lr: 1.0000e-02 eta: 23:57:59 time: 0.2227 data_time: 0.0226 memory: 6108 grad_norm: 5.8750 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6243 loss: 2.6243 2022/07/22 14:54:01 - mmengine - INFO - Epoch(train) [4][2040/3757] lr: 1.0000e-02 eta: 23:57:58 time: 0.2459 data_time: 0.0210 memory: 6108 grad_norm: 5.7449 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8868 loss: 2.8868 2022/07/22 14:54:06 - mmengine - INFO - Epoch(train) [4][2060/3757] lr: 1.0000e-02 eta: 23:57:45 time: 0.2228 data_time: 0.0205 memory: 6108 grad_norm: 5.7104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8853 loss: 2.8853 2022/07/22 14:54:11 - mmengine - INFO - Epoch(train) [4][2080/3757] lr: 1.0000e-02 eta: 23:57:48 time: 0.2519 data_time: 0.0195 memory: 6108 grad_norm: 5.7468 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1696 loss: 3.1696 2022/07/22 14:54:16 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.0000e-02 eta: 23:57:46 time: 0.2437 data_time: 0.0179 memory: 6108 grad_norm: 5.8062 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8854 loss: 2.8854 2022/07/22 14:54:20 - mmengine - INFO - Epoch(train) [4][2120/3757] lr: 1.0000e-02 eta: 23:57:33 time: 0.2227 data_time: 0.0279 memory: 6108 grad_norm: 5.9762 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0205 loss: 3.0205 2022/07/22 14:54:25 - mmengine - INFO - Epoch(train) [4][2140/3757] lr: 1.0000e-02 eta: 23:57:25 time: 0.2313 data_time: 0.0241 memory: 6108 grad_norm: 6.0920 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0128 loss: 3.0128 2022/07/22 14:54:30 - mmengine - INFO - Epoch(train) [4][2160/3757] lr: 1.0000e-02 eta: 23:57:25 time: 0.2464 data_time: 0.0193 memory: 6108 grad_norm: 5.9310 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7764 loss: 2.7764 2022/07/22 14:54:34 - mmengine - INFO - Epoch(train) [4][2180/3757] lr: 1.0000e-02 eta: 23:57:10 time: 0.2199 data_time: 0.0164 memory: 6108 grad_norm: 5.8887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8548 loss: 2.8548 2022/07/22 14:54:39 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.0000e-02 eta: 23:57:05 time: 0.2385 data_time: 0.0195 memory: 6108 grad_norm: 5.9427 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9321 loss: 2.9321 2022/07/22 14:54:43 - mmengine - INFO - Epoch(train) [4][2220/3757] lr: 1.0000e-02 eta: 23:56:53 time: 0.2241 data_time: 0.0169 memory: 6108 grad_norm: 5.7840 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2153 loss: 3.2153 2022/07/22 14:54:48 - mmengine - INFO - Epoch(train) [4][2240/3757] lr: 1.0000e-02 eta: 23:56:48 time: 0.2374 data_time: 0.0360 memory: 6108 grad_norm: 5.9362 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7317 loss: 2.7317 2022/07/22 14:54:53 - mmengine - INFO - Epoch(train) [4][2260/3757] lr: 1.0000e-02 eta: 23:56:37 time: 0.2264 data_time: 0.0263 memory: 6108 grad_norm: 6.0111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7345 loss: 2.7345 2022/07/22 14:54:57 - mmengine - INFO - Epoch(train) [4][2280/3757] lr: 1.0000e-02 eta: 23:56:25 time: 0.2250 data_time: 0.0248 memory: 6108 grad_norm: 5.8967 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7972 loss: 2.7972 2022/07/22 14:55:02 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.0000e-02 eta: 23:56:20 time: 0.2373 data_time: 0.0187 memory: 6108 grad_norm: 5.9013 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9612 loss: 2.9612 2022/07/22 14:55:06 - mmengine - INFO - Epoch(train) [4][2320/3757] lr: 1.0000e-02 eta: 23:56:07 time: 0.2224 data_time: 0.0188 memory: 6108 grad_norm: 5.7809 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0452 loss: 3.0452 2022/07/22 14:55:11 - mmengine - INFO - Epoch(train) [4][2340/3757] lr: 1.0000e-02 eta: 23:56:09 time: 0.2508 data_time: 0.0182 memory: 6108 grad_norm: 5.7827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6971 loss: 2.6971 2022/07/22 14:55:16 - mmengine - INFO - Epoch(train) [4][2360/3757] lr: 1.0000e-02 eta: 23:56:12 time: 0.2528 data_time: 0.0241 memory: 6108 grad_norm: 5.7741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9198 loss: 2.9198 2022/07/22 14:55:21 - mmengine - INFO - Epoch(train) [4][2380/3757] lr: 1.0000e-02 eta: 23:56:01 time: 0.2253 data_time: 0.0218 memory: 6108 grad_norm: 5.7078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8955 loss: 2.8955 2022/07/22 14:55:26 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.0000e-02 eta: 23:55:58 time: 0.2411 data_time: 0.0220 memory: 6108 grad_norm: 6.0284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7273 loss: 2.7273 2022/07/22 14:55:31 - mmengine - INFO - Epoch(train) [4][2420/3757] lr: 1.0000e-02 eta: 23:55:51 time: 0.2337 data_time: 0.0200 memory: 6108 grad_norm: 5.6706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8274 loss: 2.8274 2022/07/22 14:55:35 - mmengine - INFO - Epoch(train) [4][2440/3757] lr: 1.0000e-02 eta: 23:55:51 time: 0.2479 data_time: 0.0218 memory: 6108 grad_norm: 5.7842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9098 loss: 2.9098 2022/07/22 14:55:40 - mmengine - INFO - Epoch(train) [4][2460/3757] lr: 1.0000e-02 eta: 23:55:45 time: 0.2348 data_time: 0.0176 memory: 6108 grad_norm: 5.9497 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1521 loss: 3.1521 2022/07/22 14:55:45 - mmengine - INFO - Epoch(train) [4][2480/3757] lr: 1.0000e-02 eta: 23:55:36 time: 0.2310 data_time: 0.0244 memory: 6108 grad_norm: 5.9959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9585 loss: 2.9585 2022/07/22 14:55:49 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.0000e-02 eta: 23:55:28 time: 0.2307 data_time: 0.0254 memory: 6108 grad_norm: 5.9042 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6888 loss: 2.6888 2022/07/22 14:55:54 - mmengine - INFO - Epoch(train) [4][2520/3757] lr: 1.0000e-02 eta: 23:55:29 time: 0.2485 data_time: 0.0179 memory: 6108 grad_norm: 5.8855 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8821 loss: 2.8821 2022/07/22 14:55:59 - mmengine - INFO - Epoch(train) [4][2540/3757] lr: 1.0000e-02 eta: 23:55:13 time: 0.2171 data_time: 0.0251 memory: 6108 grad_norm: 6.0226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7547 loss: 2.7547 2022/07/22 14:56:03 - mmengine - INFO - Epoch(train) [4][2560/3757] lr: 1.0000e-02 eta: 23:55:00 time: 0.2219 data_time: 0.0220 memory: 6108 grad_norm: 5.8663 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9560 loss: 2.9560 2022/07/22 14:56:08 - mmengine - INFO - Epoch(train) [4][2580/3757] lr: 1.0000e-02 eta: 23:54:50 time: 0.2285 data_time: 0.0183 memory: 6108 grad_norm: 6.0733 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9105 loss: 2.9105 2022/07/22 14:56:12 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.0000e-02 eta: 23:54:40 time: 0.2280 data_time: 0.0191 memory: 6108 grad_norm: 5.9247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5706 loss: 2.5706 2022/07/22 14:56:17 - mmengine - INFO - Epoch(train) [4][2620/3757] lr: 1.0000e-02 eta: 23:54:34 time: 0.2345 data_time: 0.0213 memory: 6108 grad_norm: 5.8515 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6660 loss: 2.6660 2022/07/22 14:56:21 - mmengine - INFO - Epoch(train) [4][2640/3757] lr: 1.0000e-02 eta: 23:54:19 time: 0.2198 data_time: 0.0197 memory: 6108 grad_norm: 5.7819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7473 loss: 2.7473 2022/07/22 14:56:27 - mmengine - INFO - Epoch(train) [4][2660/3757] lr: 1.0000e-02 eta: 23:54:38 time: 0.2831 data_time: 0.0245 memory: 6108 grad_norm: 5.7919 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8890 loss: 2.8890 2022/07/22 14:56:31 - mmengine - INFO - Epoch(train) [4][2680/3757] lr: 1.0000e-02 eta: 23:54:23 time: 0.2180 data_time: 0.0226 memory: 6108 grad_norm: 5.7542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8621 loss: 2.8621 2022/07/22 14:56:36 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.0000e-02 eta: 23:54:12 time: 0.2255 data_time: 0.0220 memory: 6108 grad_norm: 5.8753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6085 loss: 2.6085 2022/07/22 14:56:40 - mmengine - INFO - Epoch(train) [4][2720/3757] lr: 1.0000e-02 eta: 23:53:58 time: 0.2203 data_time: 0.0201 memory: 6108 grad_norm: 5.7691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9723 loss: 2.9723 2022/07/22 14:56:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 14:56:45 - mmengine - INFO - Epoch(train) [4][2740/3757] lr: 1.0000e-02 eta: 23:53:54 time: 0.2385 data_time: 0.0209 memory: 6108 grad_norm: 5.9380 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8810 loss: 2.8810 2022/07/22 14:56:50 - mmengine - INFO - Epoch(train) [4][2760/3757] lr: 1.0000e-02 eta: 23:53:54 time: 0.2480 data_time: 0.0197 memory: 6108 grad_norm: 6.0102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6937 loss: 2.6937 2022/07/22 14:56:55 - mmengine - INFO - Epoch(train) [4][2780/3757] lr: 1.0000e-02 eta: 23:53:45 time: 0.2296 data_time: 0.0215 memory: 6108 grad_norm: 6.0631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9669 loss: 2.9669 2022/07/22 14:56:59 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.0000e-02 eta: 23:53:32 time: 0.2214 data_time: 0.0238 memory: 6108 grad_norm: 5.8736 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1681 loss: 3.1681 2022/07/22 14:57:04 - mmengine - INFO - Epoch(train) [4][2820/3757] lr: 1.0000e-02 eta: 23:53:28 time: 0.2391 data_time: 0.0280 memory: 6108 grad_norm: 5.9059 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0011 loss: 3.0011 2022/07/22 14:57:09 - mmengine - INFO - Epoch(train) [4][2840/3757] lr: 1.0000e-02 eta: 23:53:26 time: 0.2438 data_time: 0.0193 memory: 6108 grad_norm: 5.8773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6540 loss: 2.6540 2022/07/22 14:57:13 - mmengine - INFO - Epoch(train) [4][2860/3757] lr: 1.0000e-02 eta: 23:53:13 time: 0.2210 data_time: 0.0248 memory: 6108 grad_norm: 5.8670 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7515 loss: 2.7515 2022/07/22 14:57:18 - mmengine - INFO - Epoch(train) [4][2880/3757] lr: 1.0000e-02 eta: 23:53:10 time: 0.2425 data_time: 0.0229 memory: 6108 grad_norm: 5.8538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8762 loss: 2.8762 2022/07/22 14:57:22 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.0000e-02 eta: 23:52:57 time: 0.2212 data_time: 0.0223 memory: 6108 grad_norm: 6.0151 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8891 loss: 2.8891 2022/07/22 14:57:27 - mmengine - INFO - Epoch(train) [4][2920/3757] lr: 1.0000e-02 eta: 23:52:51 time: 0.2361 data_time: 0.0253 memory: 6108 grad_norm: 5.7718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7883 loss: 2.7883 2022/07/22 14:57:32 - mmengine - INFO - Epoch(train) [4][2940/3757] lr: 1.0000e-02 eta: 23:52:45 time: 0.2342 data_time: 0.0182 memory: 6108 grad_norm: 5.9204 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8024 loss: 2.8024 2022/07/22 14:57:37 - mmengine - INFO - Epoch(train) [4][2960/3757] lr: 1.0000e-02 eta: 23:52:58 time: 0.2726 data_time: 0.0194 memory: 6108 grad_norm: 5.8467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5564 loss: 2.5564 2022/07/22 14:57:42 - mmengine - INFO - Epoch(train) [4][2980/3757] lr: 1.0000e-02 eta: 23:53:02 time: 0.2551 data_time: 0.0244 memory: 6108 grad_norm: 5.7249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8354 loss: 2.8354 2022/07/22 14:57:47 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 1.0000e-02 eta: 23:52:46 time: 0.2156 data_time: 0.0192 memory: 6108 grad_norm: 5.6853 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5502 loss: 2.5502 2022/07/22 14:57:51 - mmengine - INFO - Epoch(train) [4][3020/3757] lr: 1.0000e-02 eta: 23:52:31 time: 0.2190 data_time: 0.0217 memory: 6108 grad_norm: 5.7705 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7323 loss: 2.7323 2022/07/22 14:57:55 - mmengine - INFO - Epoch(train) [4][3040/3757] lr: 1.0000e-02 eta: 23:52:17 time: 0.2191 data_time: 0.0224 memory: 6108 grad_norm: 5.8213 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6814 loss: 2.6814 2022/07/22 14:58:01 - mmengine - INFO - Epoch(train) [4][3060/3757] lr: 1.0000e-02 eta: 23:52:22 time: 0.2569 data_time: 0.0270 memory: 6108 grad_norm: 5.6564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5234 loss: 2.5234 2022/07/22 14:58:05 - mmengine - INFO - Epoch(train) [4][3080/3757] lr: 1.0000e-02 eta: 23:52:12 time: 0.2266 data_time: 0.0172 memory: 6108 grad_norm: 5.8190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9526 loss: 2.9526 2022/07/22 14:58:10 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 1.0000e-02 eta: 23:51:59 time: 0.2215 data_time: 0.0245 memory: 6108 grad_norm: 5.8046 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6920 loss: 2.6920 2022/07/22 14:58:14 - mmengine - INFO - Epoch(train) [4][3120/3757] lr: 1.0000e-02 eta: 23:51:48 time: 0.2270 data_time: 0.0292 memory: 6108 grad_norm: 5.8149 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8987 loss: 2.8987 2022/07/22 14:58:19 - mmengine - INFO - Epoch(train) [4][3140/3757] lr: 1.0000e-02 eta: 23:51:48 time: 0.2468 data_time: 0.0482 memory: 6108 grad_norm: 5.8538 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7355 loss: 2.7355 2022/07/22 14:58:24 - mmengine - INFO - Epoch(train) [4][3160/3757] lr: 1.0000e-02 eta: 23:51:45 time: 0.2401 data_time: 0.0264 memory: 6108 grad_norm: 5.8821 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8206 loss: 2.8206 2022/07/22 14:58:29 - mmengine - INFO - Epoch(train) [4][3180/3757] lr: 1.0000e-02 eta: 23:51:42 time: 0.2421 data_time: 0.0487 memory: 6108 grad_norm: 5.7087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5904 loss: 2.5904 2022/07/22 14:58:33 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 1.0000e-02 eta: 23:51:31 time: 0.2246 data_time: 0.0206 memory: 6108 grad_norm: 5.7662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7807 loss: 2.7807 2022/07/22 14:58:38 - mmengine - INFO - Epoch(train) [4][3220/3757] lr: 1.0000e-02 eta: 23:51:30 time: 0.2458 data_time: 0.0485 memory: 6108 grad_norm: 5.9540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7852 loss: 2.7852 2022/07/22 14:58:43 - mmengine - INFO - Epoch(train) [4][3240/3757] lr: 1.0000e-02 eta: 23:51:22 time: 0.2322 data_time: 0.0216 memory: 6108 grad_norm: 5.8915 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9102 loss: 2.9102 2022/07/22 14:58:47 - mmengine - INFO - Epoch(train) [4][3260/3757] lr: 1.0000e-02 eta: 23:51:10 time: 0.2215 data_time: 0.0273 memory: 6108 grad_norm: 5.9378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0758 loss: 3.0758 2022/07/22 14:58:52 - mmengine - INFO - Epoch(train) [4][3280/3757] lr: 1.0000e-02 eta: 23:50:58 time: 0.2250 data_time: 0.0292 memory: 6108 grad_norm: 5.9673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6656 loss: 2.6656 2022/07/22 14:58:57 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 1.0000e-02 eta: 23:50:55 time: 0.2407 data_time: 0.0397 memory: 6108 grad_norm: 5.8856 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8053 loss: 2.8053 2022/07/22 14:59:01 - mmengine - INFO - Epoch(train) [4][3320/3757] lr: 1.0000e-02 eta: 23:50:42 time: 0.2216 data_time: 0.0211 memory: 6108 grad_norm: 5.8889 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5853 loss: 2.5853 2022/07/22 14:59:06 - mmengine - INFO - Epoch(train) [4][3340/3757] lr: 1.0000e-02 eta: 23:50:36 time: 0.2352 data_time: 0.0214 memory: 6108 grad_norm: 5.8071 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0275 loss: 3.0275 2022/07/22 14:59:10 - mmengine - INFO - Epoch(train) [4][3360/3757] lr: 1.0000e-02 eta: 23:50:31 time: 0.2363 data_time: 0.0218 memory: 6108 grad_norm: 5.8447 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8651 loss: 2.8651 2022/07/22 14:59:15 - mmengine - INFO - Epoch(train) [4][3380/3757] lr: 1.0000e-02 eta: 23:50:22 time: 0.2288 data_time: 0.0276 memory: 6108 grad_norm: 5.8814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8811 loss: 2.8811 2022/07/22 14:59:19 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 1.0000e-02 eta: 23:50:09 time: 0.2209 data_time: 0.0238 memory: 6108 grad_norm: 5.7236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9719 loss: 2.9719 2022/07/22 14:59:24 - mmengine - INFO - Epoch(train) [4][3420/3757] lr: 1.0000e-02 eta: 23:50:08 time: 0.2457 data_time: 0.0214 memory: 6108 grad_norm: 5.7779 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7056 loss: 2.7056 2022/07/22 14:59:29 - mmengine - INFO - Epoch(train) [4][3440/3757] lr: 1.0000e-02 eta: 23:50:02 time: 0.2356 data_time: 0.0215 memory: 6108 grad_norm: 5.8413 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9412 loss: 2.9412 2022/07/22 14:59:34 - mmengine - INFO - Epoch(train) [4][3460/3757] lr: 1.0000e-02 eta: 23:49:56 time: 0.2357 data_time: 0.0233 memory: 6108 grad_norm: 5.9785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7247 loss: 2.7247 2022/07/22 14:59:39 - mmengine - INFO - Epoch(train) [4][3480/3757] lr: 1.0000e-02 eta: 23:50:15 time: 0.2856 data_time: 0.0400 memory: 6108 grad_norm: 5.7471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9791 loss: 2.9791 2022/07/22 14:59:44 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 1.0000e-02 eta: 23:50:03 time: 0.2218 data_time: 0.0220 memory: 6108 grad_norm: 5.7388 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8216 loss: 2.8216 2022/07/22 14:59:48 - mmengine - INFO - Epoch(train) [4][3520/3757] lr: 1.0000e-02 eta: 23:49:50 time: 0.2222 data_time: 0.0213 memory: 6108 grad_norm: 5.7333 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9345 loss: 2.9345 2022/07/22 14:59:53 - mmengine - INFO - Epoch(train) [4][3540/3757] lr: 1.0000e-02 eta: 23:49:45 time: 0.2359 data_time: 0.0181 memory: 6108 grad_norm: 5.8112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8471 loss: 2.8471 2022/07/22 14:59:58 - mmengine - INFO - Epoch(train) [4][3560/3757] lr: 1.0000e-02 eta: 23:49:55 time: 0.2682 data_time: 0.0516 memory: 6108 grad_norm: 5.8057 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7345 loss: 2.7345 2022/07/22 15:00:03 - mmengine - INFO - Epoch(train) [4][3580/3757] lr: 1.0000e-02 eta: 23:49:46 time: 0.2288 data_time: 0.0230 memory: 6108 grad_norm: 5.8463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7730 loss: 2.7730 2022/07/22 15:00:07 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 1.0000e-02 eta: 23:49:32 time: 0.2195 data_time: 0.0186 memory: 6108 grad_norm: 5.8373 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8042 loss: 2.8042 2022/07/22 15:00:12 - mmengine - INFO - Epoch(train) [4][3620/3757] lr: 1.0000e-02 eta: 23:49:28 time: 0.2385 data_time: 0.0223 memory: 6108 grad_norm: 5.8379 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8401 loss: 2.8401 2022/07/22 15:00:17 - mmengine - INFO - Epoch(train) [4][3640/3757] lr: 1.0000e-02 eta: 23:49:20 time: 0.2322 data_time: 0.0211 memory: 6108 grad_norm: 5.8094 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7807 loss: 2.7807 2022/07/22 15:00:21 - mmengine - INFO - Epoch(train) [4][3660/3757] lr: 1.0000e-02 eta: 23:49:08 time: 0.2233 data_time: 0.0190 memory: 6108 grad_norm: 5.7774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4378 loss: 2.4378 2022/07/22 15:00:26 - mmengine - INFO - Epoch(train) [4][3680/3757] lr: 1.0000e-02 eta: 23:48:58 time: 0.2253 data_time: 0.0260 memory: 6108 grad_norm: 5.8776 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7255 loss: 2.7255 2022/07/22 15:00:30 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 1.0000e-02 eta: 23:48:44 time: 0.2191 data_time: 0.0201 memory: 6108 grad_norm: 5.7253 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6465 loss: 2.6465 2022/07/22 15:00:35 - mmengine - INFO - Epoch(train) [4][3720/3757] lr: 1.0000e-02 eta: 23:48:44 time: 0.2484 data_time: 0.0221 memory: 6108 grad_norm: 5.8993 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8915 loss: 2.8915 2022/07/22 15:00:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:00:40 - mmengine - INFO - Epoch(train) [4][3740/3757] lr: 1.0000e-02 eta: 23:48:42 time: 0.2424 data_time: 0.0206 memory: 6108 grad_norm: 5.7421 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8499 loss: 2.8499 2022/07/22 15:00:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:00:43 - mmengine - INFO - Epoch(train) [4][3757/3757] lr: 1.0000e-02 eta: 23:48:42 time: 0.1933 data_time: 0.0141 memory: 6108 grad_norm: 5.7900 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7183 loss: 2.7183 2022/07/22 15:00:49 - mmengine - INFO - Epoch(val) [4][20/310] eta: 0:01:21 time: 0.2809 data_time: 0.2036 memory: 1428 2022/07/22 15:00:53 - mmengine - INFO - Epoch(val) [4][40/310] eta: 0:00:50 time: 0.1881 data_time: 0.1107 memory: 1428 2022/07/22 15:00:57 - mmengine - INFO - Epoch(val) [4][60/310] eta: 0:00:55 time: 0.2207 data_time: 0.1438 memory: 1428 2022/07/22 15:01:01 - mmengine - INFO - Epoch(val) [4][80/310] eta: 0:00:48 time: 0.2101 data_time: 0.1363 memory: 1428 2022/07/22 15:01:06 - mmengine - INFO - Epoch(val) [4][100/310] eta: 0:00:49 time: 0.2372 data_time: 0.1648 memory: 1428 2022/07/22 15:01:10 - mmengine - INFO - Epoch(val) [4][120/310] eta: 0:00:36 time: 0.1942 data_time: 0.1212 memory: 1428 2022/07/22 15:01:15 - mmengine - INFO - Epoch(val) [4][140/310] eta: 0:00:44 time: 0.2628 data_time: 0.1891 memory: 1428 2022/07/22 15:01:19 - mmengine - INFO - Epoch(val) [4][160/310] eta: 0:00:27 time: 0.1850 data_time: 0.1077 memory: 1428 2022/07/22 15:01:24 - mmengine - INFO - Epoch(val) [4][180/310] eta: 0:00:30 time: 0.2383 data_time: 0.1628 memory: 1428 2022/07/22 15:01:27 - mmengine - INFO - Epoch(val) [4][200/310] eta: 0:00:19 time: 0.1790 data_time: 0.1042 memory: 1428 2022/07/22 15:01:32 - mmengine - INFO - Epoch(val) [4][220/310] eta: 0:00:19 time: 0.2217 data_time: 0.1480 memory: 1428 2022/07/22 15:01:35 - mmengine - INFO - Epoch(val) [4][240/310] eta: 0:00:13 time: 0.1858 data_time: 0.1129 memory: 1428 2022/07/22 15:01:40 - mmengine - INFO - Epoch(val) [4][260/310] eta: 0:00:11 time: 0.2317 data_time: 0.1562 memory: 1428 2022/07/22 15:01:44 - mmengine - INFO - Epoch(val) [4][280/310] eta: 0:00:06 time: 0.2066 data_time: 0.1323 memory: 1428 2022/07/22 15:01:48 - mmengine - INFO - Epoch(val) [4][300/310] eta: 0:00:02 time: 0.2100 data_time: 0.1365 memory: 1428 2022/07/22 15:01:52 - mmengine - INFO - Epoch(val) [4][310/310] acc/top1: 0.4181 acc/top5: 0.6973 acc/mean1: 0.4180 2022/07/22 15:01:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/22 15:01:55 - mmengine - INFO - The best checkpoint with 0.4181 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/07/22 15:02:00 - mmengine - INFO - Epoch(train) [5][20/3757] lr: 1.0000e-02 eta: 23:47:12 time: 0.2695 data_time: 0.0869 memory: 6108 grad_norm: 5.5339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5230 loss: 2.5230 2022/07/22 15:02:05 - mmengine - INFO - Epoch(train) [5][40/3757] lr: 1.0000e-02 eta: 23:46:59 time: 0.2208 data_time: 0.0206 memory: 6108 grad_norm: 5.6889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7389 loss: 2.7389 2022/07/22 15:02:09 - mmengine - INFO - Epoch(train) [5][60/3757] lr: 1.0000e-02 eta: 23:46:48 time: 0.2244 data_time: 0.0314 memory: 6108 grad_norm: 5.7406 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5419 loss: 2.5419 2022/07/22 15:02:14 - mmengine - INFO - Epoch(train) [5][80/3757] lr: 1.0000e-02 eta: 23:46:46 time: 0.2434 data_time: 0.0397 memory: 6108 grad_norm: 5.8359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5593 loss: 2.5593 2022/07/22 15:02:19 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 1.0000e-02 eta: 23:46:35 time: 0.2239 data_time: 0.0236 memory: 6108 grad_norm: 5.9554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7121 loss: 2.7121 2022/07/22 15:02:23 - mmengine - INFO - Epoch(train) [5][120/3757] lr: 1.0000e-02 eta: 23:46:25 time: 0.2270 data_time: 0.0269 memory: 6108 grad_norm: 5.6716 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9019 loss: 2.9019 2022/07/22 15:02:28 - mmengine - INFO - Epoch(train) [5][140/3757] lr: 1.0000e-02 eta: 23:46:26 time: 0.2498 data_time: 0.0478 memory: 6108 grad_norm: 5.7894 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6413 loss: 2.6413 2022/07/22 15:02:33 - mmengine - INFO - Epoch(train) [5][160/3757] lr: 1.0000e-02 eta: 23:46:16 time: 0.2246 data_time: 0.0199 memory: 6108 grad_norm: 5.9137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4745 loss: 2.4745 2022/07/22 15:02:37 - mmengine - INFO - Epoch(train) [5][180/3757] lr: 1.0000e-02 eta: 23:46:12 time: 0.2408 data_time: 0.0220 memory: 6108 grad_norm: 5.7408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8227 loss: 2.8227 2022/07/22 15:02:42 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 1.0000e-02 eta: 23:46:09 time: 0.2407 data_time: 0.0194 memory: 6108 grad_norm: 5.5994 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5119 loss: 2.5119 2022/07/22 15:02:47 - mmengine - INFO - Epoch(train) [5][220/3757] lr: 1.0000e-02 eta: 23:45:57 time: 0.2226 data_time: 0.0204 memory: 6108 grad_norm: 5.6932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4689 loss: 2.4689 2022/07/22 15:02:51 - mmengine - INFO - Epoch(train) [5][240/3757] lr: 1.0000e-02 eta: 23:45:47 time: 0.2261 data_time: 0.0250 memory: 6108 grad_norm: 5.7703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5760 loss: 2.5760 2022/07/22 15:02:56 - mmengine - INFO - Epoch(train) [5][260/3757] lr: 1.0000e-02 eta: 23:45:45 time: 0.2425 data_time: 0.0180 memory: 6108 grad_norm: 5.8253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8971 loss: 2.8971 2022/07/22 15:03:00 - mmengine - INFO - Epoch(train) [5][280/3757] lr: 1.0000e-02 eta: 23:45:31 time: 0.2176 data_time: 0.0200 memory: 6108 grad_norm: 5.7330 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4919 loss: 2.4919 2022/07/22 15:03:05 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 1.0000e-02 eta: 23:45:21 time: 0.2253 data_time: 0.0292 memory: 6108 grad_norm: 5.8137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6765 loss: 2.6765 2022/07/22 15:03:10 - mmengine - INFO - Epoch(train) [5][320/3757] lr: 1.0000e-02 eta: 23:45:13 time: 0.2308 data_time: 0.0192 memory: 6108 grad_norm: 5.8776 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6197 loss: 2.6197 2022/07/22 15:03:14 - mmengine - INFO - Epoch(train) [5][340/3757] lr: 1.0000e-02 eta: 23:45:03 time: 0.2274 data_time: 0.0233 memory: 6108 grad_norm: 5.7708 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3804 loss: 2.3804 2022/07/22 15:03:19 - mmengine - INFO - Epoch(train) [5][360/3757] lr: 1.0000e-02 eta: 23:44:56 time: 0.2304 data_time: 0.0227 memory: 6108 grad_norm: 5.9528 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1118 loss: 3.1118 2022/07/22 15:03:24 - mmengine - INFO - Epoch(train) [5][380/3757] lr: 1.0000e-02 eta: 23:44:54 time: 0.2441 data_time: 0.0237 memory: 6108 grad_norm: 5.9371 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7872 loss: 2.7872 2022/07/22 15:03:28 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 1.0000e-02 eta: 23:44:43 time: 0.2231 data_time: 0.0246 memory: 6108 grad_norm: 5.9308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8462 loss: 2.8462 2022/07/22 15:03:33 - mmengine - INFO - Epoch(train) [5][420/3757] lr: 1.0000e-02 eta: 23:44:38 time: 0.2383 data_time: 0.0237 memory: 6108 grad_norm: 5.7087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5491 loss: 2.5491 2022/07/22 15:03:38 - mmengine - INFO - Epoch(train) [5][440/3757] lr: 1.0000e-02 eta: 23:44:33 time: 0.2353 data_time: 0.0229 memory: 6108 grad_norm: 5.7846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5474 loss: 2.5474 2022/07/22 15:03:42 - mmengine - INFO - Epoch(train) [5][460/3757] lr: 1.0000e-02 eta: 23:44:24 time: 0.2295 data_time: 0.0208 memory: 6108 grad_norm: 5.9680 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6425 loss: 2.6425 2022/07/22 15:03:47 - mmengine - INFO - Epoch(train) [5][480/3757] lr: 1.0000e-02 eta: 23:44:17 time: 0.2311 data_time: 0.0203 memory: 6108 grad_norm: 5.8270 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8828 loss: 2.8828 2022/07/22 15:03:51 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 1.0000e-02 eta: 23:44:03 time: 0.2178 data_time: 0.0233 memory: 6108 grad_norm: 5.8430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7656 loss: 2.7656 2022/07/22 15:03:56 - mmengine - INFO - Epoch(train) [5][520/3757] lr: 1.0000e-02 eta: 23:44:05 time: 0.2513 data_time: 0.0195 memory: 6108 grad_norm: 5.8268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9137 loss: 2.9137 2022/07/22 15:04:01 - mmengine - INFO - Epoch(train) [5][540/3757] lr: 1.0000e-02 eta: 23:43:57 time: 0.2318 data_time: 0.0219 memory: 6108 grad_norm: 5.8714 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7288 loss: 2.7288 2022/07/22 15:04:06 - mmengine - INFO - Epoch(train) [5][560/3757] lr: 1.0000e-02 eta: 23:43:59 time: 0.2510 data_time: 0.0178 memory: 6108 grad_norm: 5.8078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8806 loss: 2.8806 2022/07/22 15:04:11 - mmengine - INFO - Epoch(train) [5][580/3757] lr: 1.0000e-02 eta: 23:43:55 time: 0.2385 data_time: 0.0187 memory: 6108 grad_norm: 5.9660 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7801 loss: 2.7801 2022/07/22 15:04:15 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 1.0000e-02 eta: 23:43:44 time: 0.2233 data_time: 0.0247 memory: 6108 grad_norm: 5.7544 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5971 loss: 2.5971 2022/07/22 15:04:19 - mmengine - INFO - Epoch(train) [5][620/3757] lr: 1.0000e-02 eta: 23:43:30 time: 0.2183 data_time: 0.0184 memory: 6108 grad_norm: 5.9056 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9820 loss: 2.9820 2022/07/22 15:04:24 - mmengine - INFO - Epoch(train) [5][640/3757] lr: 1.0000e-02 eta: 23:43:22 time: 0.2303 data_time: 0.0195 memory: 6108 grad_norm: 5.8617 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0532 loss: 3.0532 2022/07/22 15:04:29 - mmengine - INFO - Epoch(train) [5][660/3757] lr: 1.0000e-02 eta: 23:43:18 time: 0.2375 data_time: 0.0231 memory: 6108 grad_norm: 5.8158 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8257 loss: 2.8257 2022/07/22 15:04:34 - mmengine - INFO - Epoch(train) [5][680/3757] lr: 1.0000e-02 eta: 23:43:14 time: 0.2398 data_time: 0.0188 memory: 6108 grad_norm: 5.9294 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8641 loss: 2.8641 2022/07/22 15:04:38 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 1.0000e-02 eta: 23:43:04 time: 0.2259 data_time: 0.0183 memory: 6108 grad_norm: 5.6965 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8278 loss: 2.8278 2022/07/22 15:04:43 - mmengine - INFO - Epoch(train) [5][720/3757] lr: 1.0000e-02 eta: 23:43:04 time: 0.2482 data_time: 0.0272 memory: 6108 grad_norm: 5.8796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1932 loss: 3.1932 2022/07/22 15:04:47 - mmengine - INFO - Epoch(train) [5][740/3757] lr: 1.0000e-02 eta: 23:42:52 time: 0.2191 data_time: 0.0206 memory: 6108 grad_norm: 5.7248 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9216 loss: 2.9216 2022/07/22 15:04:52 - mmengine - INFO - Epoch(train) [5][760/3757] lr: 1.0000e-02 eta: 23:42:39 time: 0.2197 data_time: 0.0176 memory: 6108 grad_norm: 5.9951 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5513 loss: 2.5513 2022/07/22 15:04:56 - mmengine - INFO - Epoch(train) [5][780/3757] lr: 1.0000e-02 eta: 23:42:28 time: 0.2229 data_time: 0.0268 memory: 6108 grad_norm: 5.8905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8621 loss: 2.8621 2022/07/22 15:05:02 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 1.0000e-02 eta: 23:42:43 time: 0.2824 data_time: 0.0210 memory: 6108 grad_norm: 5.9124 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0877 loss: 3.0877 2022/07/22 15:05:06 - mmengine - INFO - Epoch(train) [5][820/3757] lr: 1.0000e-02 eta: 23:42:29 time: 0.2157 data_time: 0.0211 memory: 6108 grad_norm: 5.8609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0178 loss: 3.0178 2022/07/22 15:05:11 - mmengine - INFO - Epoch(train) [5][840/3757] lr: 1.0000e-02 eta: 23:42:19 time: 0.2252 data_time: 0.0331 memory: 6108 grad_norm: 5.7633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7366 loss: 2.7366 2022/07/22 15:05:16 - mmengine - INFO - Epoch(train) [5][860/3757] lr: 1.0000e-02 eta: 23:42:14 time: 0.2371 data_time: 0.0338 memory: 6108 grad_norm: 5.8118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6351 loss: 2.6351 2022/07/22 15:05:21 - mmengine - INFO - Epoch(train) [5][880/3757] lr: 1.0000e-02 eta: 23:42:17 time: 0.2544 data_time: 0.0583 memory: 6108 grad_norm: 5.7429 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6614 loss: 2.6614 2022/07/22 15:05:25 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 1.0000e-02 eta: 23:42:03 time: 0.2174 data_time: 0.0181 memory: 6108 grad_norm: 5.7918 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7814 loss: 2.7814 2022/07/22 15:05:30 - mmengine - INFO - Epoch(train) [5][920/3757] lr: 1.0000e-02 eta: 23:41:56 time: 0.2316 data_time: 0.0326 memory: 6108 grad_norm: 5.8272 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8598 loss: 2.8598 2022/07/22 15:05:34 - mmengine - INFO - Epoch(train) [5][940/3757] lr: 1.0000e-02 eta: 23:41:49 time: 0.2316 data_time: 0.0203 memory: 6108 grad_norm: 5.7527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6578 loss: 2.6578 2022/07/22 15:05:39 - mmengine - INFO - Epoch(train) [5][960/3757] lr: 1.0000e-02 eta: 23:41:52 time: 0.2541 data_time: 0.0216 memory: 6108 grad_norm: 5.8830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4670 loss: 2.4670 2022/07/22 15:05:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:05:44 - mmengine - INFO - Epoch(train) [5][980/3757] lr: 1.0000e-02 eta: 23:41:44 time: 0.2310 data_time: 0.0179 memory: 6108 grad_norm: 5.7794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6360 loss: 2.6360 2022/07/22 15:05:49 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 1.0000e-02 eta: 23:41:42 time: 0.2430 data_time: 0.0171 memory: 6108 grad_norm: 5.7433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7222 loss: 2.7222 2022/07/22 15:05:53 - mmengine - INFO - Epoch(train) [5][1020/3757] lr: 1.0000e-02 eta: 23:41:35 time: 0.2329 data_time: 0.0193 memory: 6108 grad_norm: 5.8305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9380 loss: 2.9380 2022/07/22 15:05:58 - mmengine - INFO - Epoch(train) [5][1040/3757] lr: 1.0000e-02 eta: 23:41:23 time: 0.2194 data_time: 0.0184 memory: 6108 grad_norm: 5.8715 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7381 loss: 2.7381 2022/07/22 15:06:02 - mmengine - INFO - Epoch(train) [5][1060/3757] lr: 1.0000e-02 eta: 23:41:11 time: 0.2217 data_time: 0.0208 memory: 6108 grad_norm: 5.8224 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5849 loss: 2.5849 2022/07/22 15:06:07 - mmengine - INFO - Epoch(train) [5][1080/3757] lr: 1.0000e-02 eta: 23:41:05 time: 0.2333 data_time: 0.0181 memory: 6108 grad_norm: 5.8686 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5067 loss: 2.5067 2022/07/22 15:06:11 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 1.0000e-02 eta: 23:40:52 time: 0.2201 data_time: 0.0219 memory: 6108 grad_norm: 5.7544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6783 loss: 2.6783 2022/07/22 15:06:16 - mmengine - INFO - Epoch(train) [5][1120/3757] lr: 1.0000e-02 eta: 23:40:40 time: 0.2198 data_time: 0.0233 memory: 6108 grad_norm: 5.6675 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7458 loss: 2.7458 2022/07/22 15:06:20 - mmengine - INFO - Epoch(train) [5][1140/3757] lr: 1.0000e-02 eta: 23:40:29 time: 0.2238 data_time: 0.0186 memory: 6108 grad_norm: 5.6958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5395 loss: 2.5395 2022/07/22 15:06:25 - mmengine - INFO - Epoch(train) [5][1160/3757] lr: 1.0000e-02 eta: 23:40:24 time: 0.2373 data_time: 0.0185 memory: 6108 grad_norm: 5.7195 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6875 loss: 2.6875 2022/07/22 15:06:30 - mmengine - INFO - Epoch(train) [5][1180/3757] lr: 1.0000e-02 eta: 23:40:18 time: 0.2335 data_time: 0.0249 memory: 6108 grad_norm: 6.0167 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8666 loss: 2.8666 2022/07/22 15:06:34 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 1.0000e-02 eta: 23:40:08 time: 0.2254 data_time: 0.0170 memory: 6108 grad_norm: 5.8238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0675 loss: 3.0675 2022/07/22 15:06:39 - mmengine - INFO - Epoch(train) [5][1220/3757] lr: 1.0000e-02 eta: 23:40:06 time: 0.2430 data_time: 0.0201 memory: 6108 grad_norm: 5.7922 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4956 loss: 2.4956 2022/07/22 15:06:44 - mmengine - INFO - Epoch(train) [5][1240/3757] lr: 1.0000e-02 eta: 23:39:57 time: 0.2279 data_time: 0.0255 memory: 6108 grad_norm: 5.7458 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6010 loss: 2.6010 2022/07/22 15:06:49 - mmengine - INFO - Epoch(train) [5][1260/3757] lr: 1.0000e-02 eta: 23:39:58 time: 0.2487 data_time: 0.0275 memory: 6108 grad_norm: 5.7100 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9226 loss: 2.9226 2022/07/22 15:06:53 - mmengine - INFO - Epoch(train) [5][1280/3757] lr: 1.0000e-02 eta: 23:39:54 time: 0.2387 data_time: 0.0156 memory: 6108 grad_norm: 5.7871 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9513 loss: 2.9513 2022/07/22 15:06:58 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 1.0000e-02 eta: 23:39:49 time: 0.2361 data_time: 0.0266 memory: 6108 grad_norm: 5.8242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8091 loss: 2.8091 2022/07/22 15:07:02 - mmengine - INFO - Epoch(train) [5][1320/3757] lr: 1.0000e-02 eta: 23:39:37 time: 0.2208 data_time: 0.0256 memory: 6108 grad_norm: 5.7952 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5399 loss: 2.5399 2022/07/22 15:07:08 - mmengine - INFO - Epoch(train) [5][1340/3757] lr: 1.0000e-02 eta: 23:39:40 time: 0.2548 data_time: 0.0253 memory: 6108 grad_norm: 5.7186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7283 loss: 2.7283 2022/07/22 15:07:12 - mmengine - INFO - Epoch(train) [5][1360/3757] lr: 1.0000e-02 eta: 23:39:29 time: 0.2235 data_time: 0.0227 memory: 6108 grad_norm: 5.7510 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6704 loss: 2.6704 2022/07/22 15:07:16 - mmengine - INFO - Epoch(train) [5][1380/3757] lr: 1.0000e-02 eta: 23:39:18 time: 0.2222 data_time: 0.0174 memory: 6108 grad_norm: 6.0929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7735 loss: 2.7735 2022/07/22 15:07:21 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 1.0000e-02 eta: 23:39:06 time: 0.2203 data_time: 0.0179 memory: 6108 grad_norm: 5.7817 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.8087 loss: 2.8087 2022/07/22 15:07:26 - mmengine - INFO - Epoch(train) [5][1420/3757] lr: 1.0000e-02 eta: 23:38:59 time: 0.2316 data_time: 0.0246 memory: 6108 grad_norm: 5.6912 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8336 loss: 2.8336 2022/07/22 15:07:30 - mmengine - INFO - Epoch(train) [5][1440/3757] lr: 1.0000e-02 eta: 23:38:53 time: 0.2336 data_time: 0.0314 memory: 6108 grad_norm: 5.5617 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8518 loss: 2.8518 2022/07/22 15:07:35 - mmengine - INFO - Epoch(train) [5][1460/3757] lr: 1.0000e-02 eta: 23:38:50 time: 0.2416 data_time: 0.0194 memory: 6108 grad_norm: 5.6440 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7981 loss: 2.7981 2022/07/22 15:07:39 - mmengine - INFO - Epoch(train) [5][1480/3757] lr: 1.0000e-02 eta: 23:38:37 time: 0.2189 data_time: 0.0224 memory: 6108 grad_norm: 5.7232 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9833 loss: 2.9833 2022/07/22 15:07:44 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 1.0000e-02 eta: 23:38:30 time: 0.2316 data_time: 0.0190 memory: 6108 grad_norm: 5.6519 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7221 loss: 2.7221 2022/07/22 15:07:49 - mmengine - INFO - Epoch(train) [5][1520/3757] lr: 1.0000e-02 eta: 23:38:23 time: 0.2303 data_time: 0.0227 memory: 6108 grad_norm: 5.7260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6469 loss: 2.6469 2022/07/22 15:07:53 - mmengine - INFO - Epoch(train) [5][1540/3757] lr: 1.0000e-02 eta: 23:38:13 time: 0.2261 data_time: 0.0243 memory: 6108 grad_norm: 5.7714 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6704 loss: 2.6704 2022/07/22 15:07:58 - mmengine - INFO - Epoch(train) [5][1560/3757] lr: 1.0000e-02 eta: 23:38:18 time: 0.2586 data_time: 0.0263 memory: 6108 grad_norm: 5.8214 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7728 loss: 2.7728 2022/07/22 15:08:03 - mmengine - INFO - Epoch(train) [5][1580/3757] lr: 1.0000e-02 eta: 23:38:06 time: 0.2205 data_time: 0.0169 memory: 6108 grad_norm: 5.7138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3894 loss: 2.3894 2022/07/22 15:08:07 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 1.0000e-02 eta: 23:37:57 time: 0.2270 data_time: 0.0235 memory: 6108 grad_norm: 5.7236 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4182 loss: 2.4182 2022/07/22 15:08:12 - mmengine - INFO - Epoch(train) [5][1620/3757] lr: 1.0000e-02 eta: 23:37:53 time: 0.2381 data_time: 0.0229 memory: 6108 grad_norm: 5.8294 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9807 loss: 2.9807 2022/07/22 15:08:17 - mmengine - INFO - Epoch(train) [5][1640/3757] lr: 1.0000e-02 eta: 23:37:53 time: 0.2495 data_time: 0.0194 memory: 6108 grad_norm: 5.7616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8389 loss: 2.8389 2022/07/22 15:08:22 - mmengine - INFO - Epoch(train) [5][1660/3757] lr: 1.0000e-02 eta: 23:37:43 time: 0.2248 data_time: 0.0200 memory: 6108 grad_norm: 5.7536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4836 loss: 2.4836 2022/07/22 15:08:26 - mmengine - INFO - Epoch(train) [5][1680/3757] lr: 1.0000e-02 eta: 23:37:36 time: 0.2302 data_time: 0.0274 memory: 6108 grad_norm: 5.8657 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7380 loss: 2.7380 2022/07/22 15:08:31 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 1.0000e-02 eta: 23:37:31 time: 0.2370 data_time: 0.0268 memory: 6108 grad_norm: 5.7845 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6438 loss: 2.6438 2022/07/22 15:08:36 - mmengine - INFO - Epoch(train) [5][1720/3757] lr: 1.0000e-02 eta: 23:37:32 time: 0.2511 data_time: 0.0190 memory: 6108 grad_norm: 5.6965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4805 loss: 2.4805 2022/07/22 15:08:40 - mmengine - INFO - Epoch(train) [5][1740/3757] lr: 1.0000e-02 eta: 23:37:21 time: 0.2216 data_time: 0.0292 memory: 6108 grad_norm: 5.7682 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6457 loss: 2.6457 2022/07/22 15:08:45 - mmengine - INFO - Epoch(train) [5][1760/3757] lr: 1.0000e-02 eta: 23:37:11 time: 0.2252 data_time: 0.0194 memory: 6108 grad_norm: 5.8142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4703 loss: 2.4703 2022/07/22 15:08:49 - mmengine - INFO - Epoch(train) [5][1780/3757] lr: 1.0000e-02 eta: 23:37:02 time: 0.2276 data_time: 0.0204 memory: 6108 grad_norm: 5.6579 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7066 loss: 2.7066 2022/07/22 15:08:57 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 1.0000e-02 eta: 23:37:48 time: 0.3547 data_time: 0.0239 memory: 6108 grad_norm: 6.0217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0700 loss: 3.0700 2022/07/22 15:09:01 - mmengine - INFO - Epoch(train) [5][1820/3757] lr: 1.0000e-02 eta: 23:37:35 time: 0.2187 data_time: 0.0227 memory: 6108 grad_norm: 5.5808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4396 loss: 2.4396 2022/07/22 15:09:05 - mmengine - INFO - Epoch(train) [5][1840/3757] lr: 1.0000e-02 eta: 23:37:27 time: 0.2276 data_time: 0.0237 memory: 6108 grad_norm: 5.8663 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7273 loss: 2.7273 2022/07/22 15:09:10 - mmengine - INFO - Epoch(train) [5][1860/3757] lr: 1.0000e-02 eta: 23:37:16 time: 0.2220 data_time: 0.0237 memory: 6108 grad_norm: 5.6931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8533 loss: 2.8533 2022/07/22 15:09:15 - mmengine - INFO - Epoch(train) [5][1880/3757] lr: 1.0000e-02 eta: 23:37:19 time: 0.2572 data_time: 0.0255 memory: 6108 grad_norm: 5.6421 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7568 loss: 2.7568 2022/07/22 15:09:20 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 1.0000e-02 eta: 23:37:12 time: 0.2311 data_time: 0.0188 memory: 6108 grad_norm: 5.7892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8449 loss: 2.8449 2022/07/22 15:09:24 - mmengine - INFO - Epoch(train) [5][1920/3757] lr: 1.0000e-02 eta: 23:37:01 time: 0.2214 data_time: 0.0185 memory: 6108 grad_norm: 5.7475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9234 loss: 2.9234 2022/07/22 15:09:29 - mmengine - INFO - Epoch(train) [5][1940/3757] lr: 1.0000e-02 eta: 23:36:56 time: 0.2377 data_time: 0.0262 memory: 6108 grad_norm: 5.6227 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5920 loss: 2.5920 2022/07/22 15:09:34 - mmengine - INFO - Epoch(train) [5][1960/3757] lr: 1.0000e-02 eta: 23:36:54 time: 0.2430 data_time: 0.0186 memory: 6108 grad_norm: 5.8786 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4858 loss: 2.4858 2022/07/22 15:09:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:09:39 - mmengine - INFO - Epoch(train) [5][1980/3757] lr: 1.0000e-02 eta: 23:36:53 time: 0.2450 data_time: 0.0162 memory: 6108 grad_norm: 5.8238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8858 loss: 2.8858 2022/07/22 15:09:43 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 1.0000e-02 eta: 23:36:45 time: 0.2297 data_time: 0.0234 memory: 6108 grad_norm: 5.8093 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7388 loss: 2.7388 2022/07/22 15:09:48 - mmengine - INFO - Epoch(train) [5][2020/3757] lr: 1.0000e-02 eta: 23:36:34 time: 0.2215 data_time: 0.0214 memory: 6108 grad_norm: 5.8124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4121 loss: 2.4121 2022/07/22 15:09:52 - mmengine - INFO - Epoch(train) [5][2040/3757] lr: 1.0000e-02 eta: 23:36:27 time: 0.2314 data_time: 0.0193 memory: 6108 grad_norm: 5.7562 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7728 loss: 2.7728 2022/07/22 15:09:57 - mmengine - INFO - Epoch(train) [5][2060/3757] lr: 1.0000e-02 eta: 23:36:26 time: 0.2461 data_time: 0.0260 memory: 6108 grad_norm: 5.7571 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7316 loss: 2.7316 2022/07/22 15:10:02 - mmengine - INFO - Epoch(train) [5][2080/3757] lr: 1.0000e-02 eta: 23:36:19 time: 0.2320 data_time: 0.0233 memory: 6108 grad_norm: 5.6863 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8321 loss: 2.8321 2022/07/22 15:10:06 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 1.0000e-02 eta: 23:36:09 time: 0.2254 data_time: 0.0179 memory: 6108 grad_norm: 5.7919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5545 loss: 2.5545 2022/07/22 15:10:11 - mmengine - INFO - Epoch(train) [5][2120/3757] lr: 1.0000e-02 eta: 23:36:06 time: 0.2414 data_time: 0.0218 memory: 6108 grad_norm: 5.7959 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5486 loss: 2.5486 2022/07/22 15:10:16 - mmengine - INFO - Epoch(train) [5][2140/3757] lr: 1.0000e-02 eta: 23:36:01 time: 0.2341 data_time: 0.0203 memory: 6108 grad_norm: 5.9103 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7979 loss: 2.7979 2022/07/22 15:10:20 - mmengine - INFO - Epoch(train) [5][2160/3757] lr: 1.0000e-02 eta: 23:35:48 time: 0.2184 data_time: 0.0210 memory: 6108 grad_norm: 5.7329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8591 loss: 2.8591 2022/07/22 15:10:25 - mmengine - INFO - Epoch(train) [5][2180/3757] lr: 1.0000e-02 eta: 23:35:42 time: 0.2331 data_time: 0.0245 memory: 6108 grad_norm: 5.7857 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8135 loss: 2.8135 2022/07/22 15:10:30 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 1.0000e-02 eta: 23:35:48 time: 0.2627 data_time: 0.0184 memory: 6108 grad_norm: 5.7619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5887 loss: 2.5887 2022/07/22 15:10:35 - mmengine - INFO - Epoch(train) [5][2220/3757] lr: 1.0000e-02 eta: 23:35:48 time: 0.2485 data_time: 0.0199 memory: 6108 grad_norm: 5.6818 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8090 loss: 2.8090 2022/07/22 15:10:40 - mmengine - INFO - Epoch(train) [5][2240/3757] lr: 1.0000e-02 eta: 23:35:37 time: 0.2220 data_time: 0.0257 memory: 6108 grad_norm: 5.7581 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7242 loss: 2.7242 2022/07/22 15:10:44 - mmengine - INFO - Epoch(train) [5][2260/3757] lr: 1.0000e-02 eta: 23:35:35 time: 0.2432 data_time: 0.0173 memory: 6108 grad_norm: 5.6989 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3945 loss: 2.3945 2022/07/22 15:10:49 - mmengine - INFO - Epoch(train) [5][2280/3757] lr: 1.0000e-02 eta: 23:35:26 time: 0.2274 data_time: 0.0327 memory: 6108 grad_norm: 5.8492 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1600 loss: 3.1600 2022/07/22 15:10:54 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 1.0000e-02 eta: 23:35:19 time: 0.2309 data_time: 0.0196 memory: 6108 grad_norm: 5.8035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6810 loss: 2.6810 2022/07/22 15:10:58 - mmengine - INFO - Epoch(train) [5][2320/3757] lr: 1.0000e-02 eta: 23:35:14 time: 0.2364 data_time: 0.0277 memory: 6108 grad_norm: 5.7221 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7512 loss: 2.7512 2022/07/22 15:11:03 - mmengine - INFO - Epoch(train) [5][2340/3757] lr: 1.0000e-02 eta: 23:35:07 time: 0.2320 data_time: 0.0220 memory: 6108 grad_norm: 5.7468 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9452 loss: 2.9452 2022/07/22 15:11:08 - mmengine - INFO - Epoch(train) [5][2360/3757] lr: 1.0000e-02 eta: 23:35:02 time: 0.2377 data_time: 0.0218 memory: 6108 grad_norm: 5.7771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5722 loss: 2.5722 2022/07/22 15:11:12 - mmengine - INFO - Epoch(train) [5][2380/3757] lr: 1.0000e-02 eta: 23:34:51 time: 0.2202 data_time: 0.0192 memory: 6108 grad_norm: 5.7033 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0154 loss: 3.0154 2022/07/22 15:11:17 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 1.0000e-02 eta: 23:34:45 time: 0.2339 data_time: 0.0165 memory: 6108 grad_norm: 5.6701 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8210 loss: 2.8210 2022/07/22 15:11:22 - mmengine - INFO - Epoch(train) [5][2420/3757] lr: 1.0000e-02 eta: 23:34:45 time: 0.2483 data_time: 0.0243 memory: 6108 grad_norm: 5.7559 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6679 loss: 2.6679 2022/07/22 15:11:27 - mmengine - INFO - Epoch(train) [5][2440/3757] lr: 1.0000e-02 eta: 23:34:41 time: 0.2384 data_time: 0.0173 memory: 6108 grad_norm: 5.8186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4462 loss: 2.4462 2022/07/22 15:11:31 - mmengine - INFO - Epoch(train) [5][2460/3757] lr: 1.0000e-02 eta: 23:34:31 time: 0.2253 data_time: 0.0229 memory: 6108 grad_norm: 5.8538 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7997 loss: 2.7997 2022/07/22 15:11:36 - mmengine - INFO - Epoch(train) [5][2480/3757] lr: 1.0000e-02 eta: 23:34:21 time: 0.2236 data_time: 0.0247 memory: 6108 grad_norm: 5.7780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4850 loss: 2.4850 2022/07/22 15:11:40 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 1.0000e-02 eta: 23:34:09 time: 0.2198 data_time: 0.0194 memory: 6108 grad_norm: 5.8438 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5144 loss: 2.5144 2022/07/22 15:11:45 - mmengine - INFO - Epoch(train) [5][2520/3757] lr: 1.0000e-02 eta: 23:34:12 time: 0.2542 data_time: 0.0222 memory: 6108 grad_norm: 5.9648 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7241 loss: 2.7241 2022/07/22 15:11:50 - mmengine - INFO - Epoch(train) [5][2540/3757] lr: 1.0000e-02 eta: 23:34:09 time: 0.2428 data_time: 0.0213 memory: 6108 grad_norm: 5.7377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5198 loss: 2.5198 2022/07/22 15:11:54 - mmengine - INFO - Epoch(train) [5][2560/3757] lr: 1.0000e-02 eta: 23:33:58 time: 0.2214 data_time: 0.0164 memory: 6108 grad_norm: 5.8213 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9624 loss: 2.9624 2022/07/22 15:11:59 - mmengine - INFO - Epoch(train) [5][2580/3757] lr: 1.0000e-02 eta: 23:33:51 time: 0.2303 data_time: 0.0178 memory: 6108 grad_norm: 5.6735 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7358 loss: 2.7358 2022/07/22 15:12:04 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 1.0000e-02 eta: 23:33:48 time: 0.2429 data_time: 0.0201 memory: 6108 grad_norm: 5.6634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5668 loss: 2.5668 2022/07/22 15:12:08 - mmengine - INFO - Epoch(train) [5][2620/3757] lr: 1.0000e-02 eta: 23:33:36 time: 0.2189 data_time: 0.0191 memory: 6108 grad_norm: 5.7502 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6807 loss: 2.6807 2022/07/22 15:12:13 - mmengine - INFO - Epoch(train) [5][2640/3757] lr: 1.0000e-02 eta: 23:33:34 time: 0.2440 data_time: 0.0258 memory: 6108 grad_norm: 5.9240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7987 loss: 2.7987 2022/07/22 15:12:18 - mmengine - INFO - Epoch(train) [5][2660/3757] lr: 1.0000e-02 eta: 23:33:32 time: 0.2419 data_time: 0.0209 memory: 6108 grad_norm: 5.9212 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7922 loss: 2.7922 2022/07/22 15:12:22 - mmengine - INFO - Epoch(train) [5][2680/3757] lr: 1.0000e-02 eta: 23:33:21 time: 0.2216 data_time: 0.0225 memory: 6108 grad_norm: 6.0242 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6729 loss: 2.6729 2022/07/22 15:12:27 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 1.0000e-02 eta: 23:33:16 time: 0.2362 data_time: 0.0336 memory: 6108 grad_norm: 5.8609 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6033 loss: 2.6033 2022/07/22 15:12:32 - mmengine - INFO - Epoch(train) [5][2720/3757] lr: 1.0000e-02 eta: 23:33:13 time: 0.2419 data_time: 0.0433 memory: 6108 grad_norm: 5.7670 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7359 loss: 2.7359 2022/07/22 15:12:37 - mmengine - INFO - Epoch(train) [5][2740/3757] lr: 1.0000e-02 eta: 23:33:09 time: 0.2376 data_time: 0.0370 memory: 6108 grad_norm: 5.5761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7139 loss: 2.7139 2022/07/22 15:12:41 - mmengine - INFO - Epoch(train) [5][2760/3757] lr: 1.0000e-02 eta: 23:32:58 time: 0.2216 data_time: 0.0178 memory: 6108 grad_norm: 5.7882 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7911 loss: 2.7911 2022/07/22 15:12:46 - mmengine - INFO - Epoch(train) [5][2780/3757] lr: 1.0000e-02 eta: 23:32:52 time: 0.2337 data_time: 0.0231 memory: 6108 grad_norm: 5.7014 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5552 loss: 2.5552 2022/07/22 15:12:50 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 1.0000e-02 eta: 23:32:44 time: 0.2289 data_time: 0.0174 memory: 6108 grad_norm: 5.6165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8369 loss: 2.8369 2022/07/22 15:12:55 - mmengine - INFO - Epoch(train) [5][2820/3757] lr: 1.0000e-02 eta: 23:32:41 time: 0.2417 data_time: 0.0205 memory: 6108 grad_norm: 5.6034 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7599 loss: 2.7599 2022/07/22 15:13:00 - mmengine - INFO - Epoch(train) [5][2840/3757] lr: 1.0000e-02 eta: 23:32:32 time: 0.2263 data_time: 0.0185 memory: 6108 grad_norm: 5.6939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6665 loss: 2.6665 2022/07/22 15:13:05 - mmengine - INFO - Epoch(train) [5][2860/3757] lr: 1.0000e-02 eta: 23:32:32 time: 0.2493 data_time: 0.0222 memory: 6108 grad_norm: 5.7279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0001 loss: 3.0001 2022/07/22 15:13:09 - mmengine - INFO - Epoch(train) [5][2880/3757] lr: 1.0000e-02 eta: 23:32:23 time: 0.2248 data_time: 0.0197 memory: 6108 grad_norm: 5.7543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4951 loss: 2.4951 2022/07/22 15:13:14 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 1.0000e-02 eta: 23:32:16 time: 0.2319 data_time: 0.0290 memory: 6108 grad_norm: 5.7499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8827 loss: 2.8827 2022/07/22 15:13:18 - mmengine - INFO - Epoch(train) [5][2920/3757] lr: 1.0000e-02 eta: 23:32:08 time: 0.2286 data_time: 0.0218 memory: 6108 grad_norm: 5.6385 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4408 loss: 2.4408 2022/07/22 15:13:23 - mmengine - INFO - Epoch(train) [5][2940/3757] lr: 1.0000e-02 eta: 23:31:59 time: 0.2259 data_time: 0.0199 memory: 6108 grad_norm: 5.7931 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9625 loss: 2.9625 2022/07/22 15:13:28 - mmengine - INFO - Epoch(train) [5][2960/3757] lr: 1.0000e-02 eta: 23:31:54 time: 0.2361 data_time: 0.0257 memory: 6108 grad_norm: 5.6295 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8598 loss: 2.8598 2022/07/22 15:13:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:13:32 - mmengine - INFO - Epoch(train) [5][2980/3757] lr: 1.0000e-02 eta: 23:31:48 time: 0.2332 data_time: 0.0169 memory: 6108 grad_norm: 5.6068 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4957 loss: 2.4957 2022/07/22 15:13:37 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 1.0000e-02 eta: 23:31:38 time: 0.2244 data_time: 0.0217 memory: 6108 grad_norm: 5.7116 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6154 loss: 2.6154 2022/07/22 15:13:41 - mmengine - INFO - Epoch(train) [5][3020/3757] lr: 1.0000e-02 eta: 23:31:33 time: 0.2350 data_time: 0.0230 memory: 6108 grad_norm: 5.7213 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4979 loss: 2.4979 2022/07/22 15:13:46 - mmengine - INFO - Epoch(train) [5][3040/3757] lr: 1.0000e-02 eta: 23:31:28 time: 0.2369 data_time: 0.0171 memory: 6108 grad_norm: 5.8915 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7054 loss: 2.7054 2022/07/22 15:13:51 - mmengine - INFO - Epoch(train) [5][3060/3757] lr: 1.0000e-02 eta: 23:31:19 time: 0.2265 data_time: 0.0192 memory: 6108 grad_norm: 5.5279 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6617 loss: 2.6617 2022/07/22 15:13:55 - mmengine - INFO - Epoch(train) [5][3080/3757] lr: 1.0000e-02 eta: 23:31:10 time: 0.2267 data_time: 0.0214 memory: 6108 grad_norm: 5.6839 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4670 loss: 2.4670 2022/07/22 15:14:00 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 1.0000e-02 eta: 23:31:07 time: 0.2409 data_time: 0.0221 memory: 6108 grad_norm: 5.7088 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6038 loss: 2.6038 2022/07/22 15:14:05 - mmengine - INFO - Epoch(train) [5][3120/3757] lr: 1.0000e-02 eta: 23:31:12 time: 0.2609 data_time: 0.0183 memory: 6108 grad_norm: 5.7526 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8467 loss: 2.8467 2022/07/22 15:14:10 - mmengine - INFO - Epoch(train) [5][3140/3757] lr: 1.0000e-02 eta: 23:31:00 time: 0.2173 data_time: 0.0192 memory: 6108 grad_norm: 5.6143 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6972 loss: 2.6972 2022/07/22 15:14:14 - mmengine - INFO - Epoch(train) [5][3160/3757] lr: 1.0000e-02 eta: 23:30:49 time: 0.2214 data_time: 0.0156 memory: 6108 grad_norm: 5.7511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8198 loss: 2.8198 2022/07/22 15:14:19 - mmengine - INFO - Epoch(train) [5][3180/3757] lr: 1.0000e-02 eta: 23:30:43 time: 0.2334 data_time: 0.0210 memory: 6108 grad_norm: 5.6980 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8271 loss: 2.8271 2022/07/22 15:14:24 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 1.0000e-02 eta: 23:30:43 time: 0.2493 data_time: 0.0213 memory: 6108 grad_norm: 5.8538 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4038 loss: 2.4038 2022/07/22 15:14:28 - mmengine - INFO - Epoch(train) [5][3220/3757] lr: 1.0000e-02 eta: 23:30:33 time: 0.2245 data_time: 0.0216 memory: 6108 grad_norm: 5.7734 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6794 loss: 2.6794 2022/07/22 15:14:33 - mmengine - INFO - Epoch(train) [5][3240/3757] lr: 1.0000e-02 eta: 23:30:33 time: 0.2486 data_time: 0.0186 memory: 6108 grad_norm: 5.7058 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9086 loss: 2.9086 2022/07/22 15:14:38 - mmengine - INFO - Epoch(train) [5][3260/3757] lr: 1.0000e-02 eta: 23:30:24 time: 0.2264 data_time: 0.0239 memory: 6108 grad_norm: 5.7367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9097 loss: 2.9097 2022/07/22 15:14:42 - mmengine - INFO - Epoch(train) [5][3280/3757] lr: 1.0000e-02 eta: 23:30:17 time: 0.2297 data_time: 0.0197 memory: 6108 grad_norm: 5.4470 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6455 loss: 2.6455 2022/07/22 15:14:47 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 1.0000e-02 eta: 23:30:15 time: 0.2436 data_time: 0.0316 memory: 6108 grad_norm: 5.9091 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6510 loss: 2.6510 2022/07/22 15:14:52 - mmengine - INFO - Epoch(train) [5][3320/3757] lr: 1.0000e-02 eta: 23:30:03 time: 0.2193 data_time: 0.0202 memory: 6108 grad_norm: 5.5009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8671 loss: 2.8671 2022/07/22 15:14:56 - mmengine - INFO - Epoch(train) [5][3340/3757] lr: 1.0000e-02 eta: 23:29:53 time: 0.2229 data_time: 0.0222 memory: 6108 grad_norm: 5.6433 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1521 loss: 3.1521 2022/07/22 15:15:01 - mmengine - INFO - Epoch(train) [5][3360/3757] lr: 1.0000e-02 eta: 23:29:54 time: 0.2513 data_time: 0.0209 memory: 6108 grad_norm: 5.8937 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8367 loss: 2.8367 2022/07/22 15:15:06 - mmengine - INFO - Epoch(train) [5][3380/3757] lr: 1.0000e-02 eta: 23:29:49 time: 0.2357 data_time: 0.0219 memory: 6108 grad_norm: 5.4758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7518 loss: 2.7518 2022/07/22 15:15:10 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 1.0000e-02 eta: 23:29:38 time: 0.2208 data_time: 0.0245 memory: 6108 grad_norm: 5.6416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6611 loss: 2.6611 2022/07/22 15:15:15 - mmengine - INFO - Epoch(train) [5][3420/3757] lr: 1.0000e-02 eta: 23:29:28 time: 0.2220 data_time: 0.0159 memory: 6108 grad_norm: 5.5733 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4658 loss: 2.4658 2022/07/22 15:15:19 - mmengine - INFO - Epoch(train) [5][3440/3757] lr: 1.0000e-02 eta: 23:29:22 time: 0.2342 data_time: 0.0228 memory: 6108 grad_norm: 5.8197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7601 loss: 2.7601 2022/07/22 15:15:25 - mmengine - INFO - Epoch(train) [5][3460/3757] lr: 1.0000e-02 eta: 23:29:26 time: 0.2590 data_time: 0.0143 memory: 6108 grad_norm: 5.6776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8866 loss: 2.8866 2022/07/22 15:15:29 - mmengine - INFO - Epoch(train) [5][3480/3757] lr: 1.0000e-02 eta: 23:29:17 time: 0.2263 data_time: 0.0184 memory: 6108 grad_norm: 5.6074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8376 loss: 2.8376 2022/07/22 15:15:34 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 1.0000e-02 eta: 23:29:11 time: 0.2323 data_time: 0.0211 memory: 6108 grad_norm: 5.7353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5586 loss: 2.5586 2022/07/22 15:15:39 - mmengine - INFO - Epoch(train) [5][3520/3757] lr: 1.0000e-02 eta: 23:29:07 time: 0.2403 data_time: 0.0201 memory: 6108 grad_norm: 5.6326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7935 loss: 2.7935 2022/07/22 15:15:43 - mmengine - INFO - Epoch(train) [5][3540/3757] lr: 1.0000e-02 eta: 23:28:56 time: 0.2186 data_time: 0.0207 memory: 6108 grad_norm: 5.6604 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8168 loss: 2.8168 2022/07/22 15:15:48 - mmengine - INFO - Epoch(train) [5][3560/3757] lr: 1.0000e-02 eta: 23:29:02 time: 0.2660 data_time: 0.0227 memory: 6108 grad_norm: 5.6290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5885 loss: 2.5885 2022/07/22 15:15:53 - mmengine - INFO - Epoch(train) [5][3580/3757] lr: 1.0000e-02 eta: 23:28:51 time: 0.2199 data_time: 0.0224 memory: 6108 grad_norm: 5.5382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5455 loss: 2.5455 2022/07/22 15:15:57 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 1.0000e-02 eta: 23:28:44 time: 0.2325 data_time: 0.0181 memory: 6108 grad_norm: 5.7204 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8814 loss: 2.8814 2022/07/22 15:16:02 - mmengine - INFO - Epoch(train) [5][3620/3757] lr: 1.0000e-02 eta: 23:28:37 time: 0.2287 data_time: 0.0268 memory: 6108 grad_norm: 5.7222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9927 loss: 2.9927 2022/07/22 15:16:07 - mmengine - INFO - Epoch(train) [5][3640/3757] lr: 1.0000e-02 eta: 23:28:39 time: 0.2539 data_time: 0.0150 memory: 6108 grad_norm: 5.6111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4902 loss: 2.4902 2022/07/22 15:16:12 - mmengine - INFO - Epoch(train) [5][3660/3757] lr: 1.0000e-02 eta: 23:28:32 time: 0.2308 data_time: 0.0198 memory: 6108 grad_norm: 5.7358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0298 loss: 3.0298 2022/07/22 15:16:17 - mmengine - INFO - Epoch(train) [5][3680/3757] lr: 1.0000e-02 eta: 23:28:31 time: 0.2478 data_time: 0.0174 memory: 6108 grad_norm: 5.7925 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4995 loss: 2.4995 2022/07/22 15:16:21 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 1.0000e-02 eta: 23:28:28 time: 0.2416 data_time: 0.0199 memory: 6108 grad_norm: 5.7123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7051 loss: 2.7051 2022/07/22 15:16:26 - mmengine - INFO - Epoch(train) [5][3720/3757] lr: 1.0000e-02 eta: 23:28:29 time: 0.2514 data_time: 0.0181 memory: 6108 grad_norm: 5.7400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7004 loss: 2.7004 2022/07/22 15:16:31 - mmengine - INFO - Epoch(train) [5][3740/3757] lr: 1.0000e-02 eta: 23:28:21 time: 0.2291 data_time: 0.0211 memory: 6108 grad_norm: 5.6722 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5688 loss: 2.5688 2022/07/22 15:16:34 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:16:34 - mmengine - INFO - Epoch(train) [5][3757/3757] lr: 1.0000e-02 eta: 23:28:21 time: 0.1918 data_time: 0.0134 memory: 6108 grad_norm: 5.5877 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.4769 loss: 2.4769 2022/07/22 15:16:34 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/07/22 15:16:43 - mmengine - INFO - Epoch(val) [5][20/310] eta: 0:01:21 time: 0.2793 data_time: 0.1998 memory: 1428 2022/07/22 15:16:47 - mmengine - INFO - Epoch(val) [5][40/310] eta: 0:00:51 time: 0.1892 data_time: 0.1124 memory: 1428 2022/07/22 15:16:52 - mmengine - INFO - Epoch(val) [5][60/310] eta: 0:00:57 time: 0.2316 data_time: 0.1554 memory: 1428 2022/07/22 15:16:56 - mmengine - INFO - Epoch(val) [5][80/310] eta: 0:00:45 time: 0.1996 data_time: 0.1210 memory: 1428 2022/07/22 15:17:00 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:00:45 time: 0.2188 data_time: 0.1413 memory: 1428 2022/07/22 15:17:05 - mmengine - INFO - Epoch(val) [5][120/310] eta: 0:00:45 time: 0.2380 data_time: 0.1636 memory: 1428 2022/07/22 15:17:09 - mmengine - INFO - Epoch(val) [5][140/310] eta: 0:00:36 time: 0.2153 data_time: 0.1367 memory: 1428 2022/07/22 15:17:14 - mmengine - INFO - Epoch(val) [5][160/310] eta: 0:00:37 time: 0.2498 data_time: 0.1610 memory: 1428 2022/07/22 15:17:18 - mmengine - INFO - Epoch(val) [5][180/310] eta: 0:00:23 time: 0.1819 data_time: 0.1045 memory: 1428 2022/07/22 15:17:22 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:25 time: 0.2286 data_time: 0.1528 memory: 1428 2022/07/22 15:17:26 - mmengine - INFO - Epoch(val) [5][220/310] eta: 0:00:17 time: 0.1973 data_time: 0.1223 memory: 1428 2022/07/22 15:17:31 - mmengine - INFO - Epoch(val) [5][240/310] eta: 0:00:14 time: 0.2125 data_time: 0.1345 memory: 1428 2022/07/22 15:17:35 - mmengine - INFO - Epoch(val) [5][260/310] eta: 0:00:11 time: 0.2355 data_time: 0.1557 memory: 1428 2022/07/22 15:17:39 - mmengine - INFO - Epoch(val) [5][280/310] eta: 0:00:05 time: 0.1828 data_time: 0.1086 memory: 1428 2022/07/22 15:17:42 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:01 time: 0.1511 data_time: 0.0941 memory: 1428 2022/07/22 15:17:44 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.4433 acc/top5: 0.7190 acc/mean1: 0.4431 2022/07/22 15:17:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/07/22 15:17:47 - mmengine - INFO - The best checkpoint with 0.4433 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/07/22 15:17:53 - mmengine - INFO - Epoch(train) [6][20/3757] lr: 1.0000e-02 eta: 23:27:13 time: 0.2816 data_time: 0.0907 memory: 6108 grad_norm: 5.8689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7253 loss: 2.7253 2022/07/22 15:17:57 - mmengine - INFO - Epoch(train) [6][40/3757] lr: 1.0000e-02 eta: 23:27:03 time: 0.2233 data_time: 0.0188 memory: 6108 grad_norm: 5.9935 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6083 loss: 2.6083 2022/07/22 15:18:02 - mmengine - INFO - Epoch(train) [6][60/3757] lr: 1.0000e-02 eta: 23:26:58 time: 0.2345 data_time: 0.0252 memory: 6108 grad_norm: 5.5263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3947 loss: 2.3947 2022/07/22 15:18:07 - mmengine - INFO - Epoch(train) [6][80/3757] lr: 1.0000e-02 eta: 23:26:50 time: 0.2273 data_time: 0.0236 memory: 6108 grad_norm: 5.6478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8356 loss: 2.8356 2022/07/22 15:18:12 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 1.0000e-02 eta: 23:27:01 time: 0.2796 data_time: 0.0238 memory: 6108 grad_norm: 5.6319 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6607 loss: 2.6607 2022/07/22 15:18:16 - mmengine - INFO - Epoch(train) [6][120/3757] lr: 1.0000e-02 eta: 23:26:47 time: 0.2119 data_time: 0.0202 memory: 6108 grad_norm: 5.8385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7963 loss: 2.7963 2022/07/22 15:18:21 - mmengine - INFO - Epoch(train) [6][140/3757] lr: 1.0000e-02 eta: 23:26:36 time: 0.2200 data_time: 0.0191 memory: 6108 grad_norm: 5.7972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5449 loss: 2.5449 2022/07/22 15:18:26 - mmengine - INFO - Epoch(train) [6][160/3757] lr: 1.0000e-02 eta: 23:26:32 time: 0.2390 data_time: 0.0188 memory: 6108 grad_norm: 5.8299 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6591 loss: 2.6591 2022/07/22 15:18:31 - mmengine - INFO - Epoch(train) [6][180/3757] lr: 1.0000e-02 eta: 23:26:32 time: 0.2479 data_time: 0.0223 memory: 6108 grad_norm: 5.7806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7171 loss: 2.7171 2022/07/22 15:18:35 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 1.0000e-02 eta: 23:26:25 time: 0.2302 data_time: 0.0192 memory: 6108 grad_norm: 5.6779 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8249 loss: 2.8249 2022/07/22 15:18:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:18:40 - mmengine - INFO - Epoch(train) [6][220/3757] lr: 1.0000e-02 eta: 23:26:18 time: 0.2312 data_time: 0.0199 memory: 6108 grad_norm: 5.6570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5462 loss: 2.5462 2022/07/22 15:18:45 - mmengine - INFO - Epoch(train) [6][240/3757] lr: 1.0000e-02 eta: 23:26:21 time: 0.2560 data_time: 0.0224 memory: 6108 grad_norm: 5.6860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4653 loss: 2.4653 2022/07/22 15:18:49 - mmengine - INFO - Epoch(train) [6][260/3757] lr: 1.0000e-02 eta: 23:26:10 time: 0.2211 data_time: 0.0189 memory: 6108 grad_norm: 5.6753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2675 loss: 2.2675 2022/07/22 15:18:54 - mmengine - INFO - Epoch(train) [6][280/3757] lr: 1.0000e-02 eta: 23:25:59 time: 0.2195 data_time: 0.0229 memory: 6108 grad_norm: 5.8314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4292 loss: 2.4292 2022/07/22 15:18:58 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 1.0000e-02 eta: 23:25:50 time: 0.2246 data_time: 0.0219 memory: 6108 grad_norm: 5.7730 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7478 loss: 2.7478 2022/07/22 15:19:03 - mmengine - INFO - Epoch(train) [6][320/3757] lr: 1.0000e-02 eta: 23:25:43 time: 0.2305 data_time: 0.0177 memory: 6108 grad_norm: 5.6465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5551 loss: 2.5551 2022/07/22 15:19:08 - mmengine - INFO - Epoch(train) [6][340/3757] lr: 1.0000e-02 eta: 23:25:41 time: 0.2456 data_time: 0.0203 memory: 6108 grad_norm: 5.7942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6768 loss: 2.6768 2022/07/22 15:19:13 - mmengine - INFO - Epoch(train) [6][360/3757] lr: 1.0000e-02 eta: 23:25:42 time: 0.2512 data_time: 0.0182 memory: 6108 grad_norm: 5.8688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6683 loss: 2.6683 2022/07/22 15:19:17 - mmengine - INFO - Epoch(train) [6][380/3757] lr: 1.0000e-02 eta: 23:25:32 time: 0.2220 data_time: 0.0178 memory: 6108 grad_norm: 5.8524 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7079 loss: 2.7079 2022/07/22 15:19:22 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 1.0000e-02 eta: 23:25:22 time: 0.2215 data_time: 0.0192 memory: 6108 grad_norm: 5.7243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6010 loss: 2.6010 2022/07/22 15:19:27 - mmengine - INFO - Epoch(train) [6][420/3757] lr: 1.0000e-02 eta: 23:25:21 time: 0.2462 data_time: 0.0245 memory: 6108 grad_norm: 5.5189 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4270 loss: 2.4270 2022/07/22 15:19:31 - mmengine - INFO - Epoch(train) [6][440/3757] lr: 1.0000e-02 eta: 23:25:17 time: 0.2402 data_time: 0.0291 memory: 6108 grad_norm: 5.7140 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4296 loss: 2.4296 2022/07/22 15:19:36 - mmengine - INFO - Epoch(train) [6][460/3757] lr: 1.0000e-02 eta: 23:25:08 time: 0.2256 data_time: 0.0194 memory: 6108 grad_norm: 5.7679 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7152 loss: 2.7152 2022/07/22 15:19:40 - mmengine - INFO - Epoch(train) [6][480/3757] lr: 1.0000e-02 eta: 23:25:00 time: 0.2266 data_time: 0.0210 memory: 6108 grad_norm: 5.9062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5067 loss: 2.5067 2022/07/22 15:19:45 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 1.0000e-02 eta: 23:24:57 time: 0.2400 data_time: 0.0204 memory: 6108 grad_norm: 5.7763 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8326 loss: 2.8326 2022/07/22 15:19:50 - mmengine - INFO - Epoch(train) [6][520/3757] lr: 1.0000e-02 eta: 23:24:47 time: 0.2238 data_time: 0.0195 memory: 6108 grad_norm: 5.6530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6571 loss: 2.6571 2022/07/22 15:19:55 - mmengine - INFO - Epoch(train) [6][540/3757] lr: 1.0000e-02 eta: 23:24:46 time: 0.2451 data_time: 0.0289 memory: 6108 grad_norm: 5.6991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3622 loss: 2.3622 2022/07/22 15:19:59 - mmengine - INFO - Epoch(train) [6][560/3757] lr: 1.0000e-02 eta: 23:24:39 time: 0.2324 data_time: 0.0232 memory: 6108 grad_norm: 5.6924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7179 loss: 2.7179 2022/07/22 15:20:04 - mmengine - INFO - Epoch(train) [6][580/3757] lr: 1.0000e-02 eta: 23:24:42 time: 0.2576 data_time: 0.0197 memory: 6108 grad_norm: 5.7990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6412 loss: 2.6412 2022/07/22 15:20:09 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 1.0000e-02 eta: 23:24:38 time: 0.2382 data_time: 0.0182 memory: 6108 grad_norm: 5.6888 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3862 loss: 2.3862 2022/07/22 15:20:14 - mmengine - INFO - Epoch(train) [6][620/3757] lr: 1.0000e-02 eta: 23:24:28 time: 0.2208 data_time: 0.0218 memory: 6108 grad_norm: 5.6876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6911 loss: 2.6911 2022/07/22 15:20:18 - mmengine - INFO - Epoch(train) [6][640/3757] lr: 1.0000e-02 eta: 23:24:18 time: 0.2240 data_time: 0.0197 memory: 6108 grad_norm: 5.6687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6095 loss: 2.6095 2022/07/22 15:20:29 - mmengine - INFO - Epoch(train) [6][660/3757] lr: 1.0000e-02 eta: 23:26:11 time: 0.5573 data_time: 0.0181 memory: 6108 grad_norm: 5.7161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6606 loss: 2.6606 2022/07/22 15:20:34 - mmengine - INFO - Epoch(train) [6][680/3757] lr: 1.0000e-02 eta: 23:25:59 time: 0.2169 data_time: 0.0196 memory: 6108 grad_norm: 5.6099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8034 loss: 2.8034 2022/07/22 15:20:38 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 1.0000e-02 eta: 23:25:48 time: 0.2186 data_time: 0.0215 memory: 6108 grad_norm: 5.6317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5135 loss: 2.5135 2022/07/22 15:20:42 - mmengine - INFO - Epoch(train) [6][720/3757] lr: 1.0000e-02 eta: 23:25:38 time: 0.2223 data_time: 0.0213 memory: 6108 grad_norm: 5.6673 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5748 loss: 2.5748 2022/07/22 15:20:47 - mmengine - INFO - Epoch(train) [6][740/3757] lr: 1.0000e-02 eta: 23:25:34 time: 0.2405 data_time: 0.0263 memory: 6108 grad_norm: 5.6522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4423 loss: 2.4423 2022/07/22 15:20:52 - mmengine - INFO - Epoch(train) [6][760/3757] lr: 1.0000e-02 eta: 23:25:27 time: 0.2284 data_time: 0.0323 memory: 6108 grad_norm: 5.9612 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7265 loss: 2.7265 2022/07/22 15:20:57 - mmengine - INFO - Epoch(train) [6][780/3757] lr: 1.0000e-02 eta: 23:25:27 time: 0.2518 data_time: 0.0394 memory: 6108 grad_norm: 5.7516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7052 loss: 2.7052 2022/07/22 15:21:01 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 1.0000e-02 eta: 23:25:18 time: 0.2255 data_time: 0.0208 memory: 6108 grad_norm: 5.8121 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7639 loss: 2.7639 2022/07/22 15:21:06 - mmengine - INFO - Epoch(train) [6][820/3757] lr: 1.0000e-02 eta: 23:25:10 time: 0.2273 data_time: 0.0202 memory: 6108 grad_norm: 5.7555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7780 loss: 2.7780 2022/07/22 15:21:11 - mmengine - INFO - Epoch(train) [6][840/3757] lr: 1.0000e-02 eta: 23:25:05 time: 0.2357 data_time: 0.0214 memory: 6108 grad_norm: 5.6043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2552 loss: 2.2552 2022/07/22 15:21:16 - mmengine - INFO - Epoch(train) [6][860/3757] lr: 1.0000e-02 eta: 23:25:06 time: 0.2514 data_time: 0.0224 memory: 6108 grad_norm: 5.6749 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4374 loss: 2.4374 2022/07/22 15:21:20 - mmengine - INFO - Epoch(train) [6][880/3757] lr: 1.0000e-02 eta: 23:24:54 time: 0.2183 data_time: 0.0180 memory: 6108 grad_norm: 5.5874 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6162 loss: 2.6162 2022/07/22 15:21:25 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 1.0000e-02 eta: 23:24:52 time: 0.2430 data_time: 0.0262 memory: 6108 grad_norm: 5.7386 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7593 loss: 2.7593 2022/07/22 15:21:29 - mmengine - INFO - Epoch(train) [6][920/3757] lr: 1.0000e-02 eta: 23:24:39 time: 0.2143 data_time: 0.0209 memory: 6108 grad_norm: 5.7175 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5463 loss: 2.5463 2022/07/22 15:21:34 - mmengine - INFO - Epoch(train) [6][940/3757] lr: 1.0000e-02 eta: 23:24:31 time: 0.2271 data_time: 0.0183 memory: 6108 grad_norm: 5.8848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5497 loss: 2.5497 2022/07/22 15:21:38 - mmengine - INFO - Epoch(train) [6][960/3757] lr: 1.0000e-02 eta: 23:24:25 time: 0.2346 data_time: 0.0216 memory: 6108 grad_norm: 5.6991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6753 loss: 2.6753 2022/07/22 15:21:43 - mmengine - INFO - Epoch(train) [6][980/3757] lr: 1.0000e-02 eta: 23:24:20 time: 0.2364 data_time: 0.0257 memory: 6108 grad_norm: 5.7099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4639 loss: 2.4639 2022/07/22 15:21:48 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 1.0000e-02 eta: 23:24:27 time: 0.2674 data_time: 0.0183 memory: 6108 grad_norm: 5.7382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5546 loss: 2.5546 2022/07/22 15:21:53 - mmengine - INFO - Epoch(train) [6][1020/3757] lr: 1.0000e-02 eta: 23:24:26 time: 0.2467 data_time: 0.0241 memory: 6108 grad_norm: 5.7502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7763 loss: 2.7763 2022/07/22 15:21:58 - mmengine - INFO - Epoch(train) [6][1040/3757] lr: 1.0000e-02 eta: 23:24:17 time: 0.2265 data_time: 0.0309 memory: 6108 grad_norm: 5.6638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5532 loss: 2.5532 2022/07/22 15:22:02 - mmengine - INFO - Epoch(train) [6][1060/3757] lr: 1.0000e-02 eta: 23:24:07 time: 0.2212 data_time: 0.0171 memory: 6108 grad_norm: 5.6718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6759 loss: 2.6759 2022/07/22 15:22:07 - mmengine - INFO - Epoch(train) [6][1080/3757] lr: 1.0000e-02 eta: 23:24:01 time: 0.2335 data_time: 0.0238 memory: 6108 grad_norm: 5.7089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4896 loss: 2.4896 2022/07/22 15:22:12 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 1.0000e-02 eta: 23:23:55 time: 0.2344 data_time: 0.0211 memory: 6108 grad_norm: 5.6770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5565 loss: 2.5565 2022/07/22 15:22:16 - mmengine - INFO - Epoch(train) [6][1120/3757] lr: 1.0000e-02 eta: 23:23:51 time: 0.2383 data_time: 0.0208 memory: 6108 grad_norm: 5.7046 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.6464 loss: 2.6464 2022/07/22 15:22:21 - mmengine - INFO - Epoch(train) [6][1140/3757] lr: 1.0000e-02 eta: 23:23:43 time: 0.2265 data_time: 0.0252 memory: 6108 grad_norm: 5.6926 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4262 loss: 2.4262 2022/07/22 15:22:26 - mmengine - INFO - Epoch(train) [6][1160/3757] lr: 1.0000e-02 eta: 23:23:37 time: 0.2326 data_time: 0.0200 memory: 6108 grad_norm: 5.9451 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8314 loss: 2.8314 2022/07/22 15:22:31 - mmengine - INFO - Epoch(train) [6][1180/3757] lr: 1.0000e-02 eta: 23:23:38 time: 0.2527 data_time: 0.0284 memory: 6108 grad_norm: 5.6973 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6531 loss: 2.6531 2022/07/22 15:22:36 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 1.0000e-02 eta: 23:23:34 time: 0.2411 data_time: 0.0201 memory: 6108 grad_norm: 5.7538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7639 loss: 2.7639 2022/07/22 15:22:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:22:40 - mmengine - INFO - Epoch(train) [6][1220/3757] lr: 1.0000e-02 eta: 23:23:24 time: 0.2224 data_time: 0.0256 memory: 6108 grad_norm: 5.6320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3812 loss: 2.3812 2022/07/22 15:22:45 - mmengine - INFO - Epoch(train) [6][1240/3757] lr: 1.0000e-02 eta: 23:23:17 time: 0.2299 data_time: 0.0182 memory: 6108 grad_norm: 5.5788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6282 loss: 2.6282 2022/07/22 15:22:50 - mmengine - INFO - Epoch(train) [6][1260/3757] lr: 1.0000e-02 eta: 23:23:17 time: 0.2490 data_time: 0.0235 memory: 6108 grad_norm: 5.7323 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8165 loss: 2.8165 2022/07/22 15:22:54 - mmengine - INFO - Epoch(train) [6][1280/3757] lr: 1.0000e-02 eta: 23:23:05 time: 0.2160 data_time: 0.0162 memory: 6108 grad_norm: 5.6848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5594 loss: 2.5594 2022/07/22 15:22:58 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 1.0000e-02 eta: 23:22:57 time: 0.2275 data_time: 0.0215 memory: 6108 grad_norm: 5.6755 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6169 loss: 2.6169 2022/07/22 15:23:03 - mmengine - INFO - Epoch(train) [6][1320/3757] lr: 1.0000e-02 eta: 23:22:47 time: 0.2237 data_time: 0.0243 memory: 6108 grad_norm: 5.6606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5050 loss: 2.5050 2022/07/22 15:23:07 - mmengine - INFO - Epoch(train) [6][1340/3757] lr: 1.0000e-02 eta: 23:22:39 time: 0.2273 data_time: 0.0210 memory: 6108 grad_norm: 5.7942 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6661 loss: 2.6661 2022/07/22 15:23:12 - mmengine - INFO - Epoch(train) [6][1360/3757] lr: 1.0000e-02 eta: 23:22:29 time: 0.2195 data_time: 0.0228 memory: 6108 grad_norm: 5.6215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7112 loss: 2.7112 2022/07/22 15:23:17 - mmengine - INFO - Epoch(train) [6][1380/3757] lr: 1.0000e-02 eta: 23:22:22 time: 0.2324 data_time: 0.0350 memory: 6108 grad_norm: 5.6910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5306 loss: 2.5306 2022/07/22 15:23:21 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 1.0000e-02 eta: 23:22:20 time: 0.2420 data_time: 0.0456 memory: 6108 grad_norm: 5.5755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3308 loss: 2.3308 2022/07/22 15:23:26 - mmengine - INFO - Epoch(train) [6][1420/3757] lr: 1.0000e-02 eta: 23:22:21 time: 0.2552 data_time: 0.0432 memory: 6108 grad_norm: 5.6002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8869 loss: 2.8869 2022/07/22 15:23:31 - mmengine - INFO - Epoch(train) [6][1440/3757] lr: 1.0000e-02 eta: 23:22:10 time: 0.2191 data_time: 0.0203 memory: 6108 grad_norm: 5.6010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6902 loss: 2.6902 2022/07/22 15:23:35 - mmengine - INFO - Epoch(train) [6][1460/3757] lr: 1.0000e-02 eta: 23:21:59 time: 0.2180 data_time: 0.0201 memory: 6108 grad_norm: 5.7216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3670 loss: 2.3670 2022/07/22 15:23:40 - mmengine - INFO - Epoch(train) [6][1480/3757] lr: 1.0000e-02 eta: 23:21:53 time: 0.2325 data_time: 0.0202 memory: 6108 grad_norm: 5.7105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5516 loss: 2.5516 2022/07/22 15:23:45 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 1.0000e-02 eta: 23:22:03 time: 0.2795 data_time: 0.0269 memory: 6108 grad_norm: 5.8594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7781 loss: 2.7781 2022/07/22 15:23:50 - mmengine - INFO - Epoch(train) [6][1520/3757] lr: 1.0000e-02 eta: 23:21:51 time: 0.2153 data_time: 0.0248 memory: 6108 grad_norm: 5.6281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5378 loss: 2.5378 2022/07/22 15:23:54 - mmengine - INFO - Epoch(train) [6][1540/3757] lr: 1.0000e-02 eta: 23:21:44 time: 0.2298 data_time: 0.0188 memory: 6108 grad_norm: 5.5257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6983 loss: 2.6983 2022/07/22 15:23:59 - mmengine - INFO - Epoch(train) [6][1560/3757] lr: 1.0000e-02 eta: 23:21:36 time: 0.2268 data_time: 0.0284 memory: 6108 grad_norm: 5.6399 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6561 loss: 2.6561 2022/07/22 15:24:04 - mmengine - INFO - Epoch(train) [6][1580/3757] lr: 1.0000e-02 eta: 23:21:41 time: 0.2644 data_time: 0.0219 memory: 6108 grad_norm: 5.5917 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4084 loss: 2.4084 2022/07/22 15:24:09 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 1.0000e-02 eta: 23:21:31 time: 0.2237 data_time: 0.0183 memory: 6108 grad_norm: 5.7373 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6074 loss: 2.6074 2022/07/22 15:24:13 - mmengine - INFO - Epoch(train) [6][1620/3757] lr: 1.0000e-02 eta: 23:21:23 time: 0.2256 data_time: 0.0210 memory: 6108 grad_norm: 5.5122 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7563 loss: 2.7563 2022/07/22 15:24:18 - mmengine - INFO - Epoch(train) [6][1640/3757] lr: 1.0000e-02 eta: 23:21:14 time: 0.2249 data_time: 0.0219 memory: 6108 grad_norm: 5.6082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6292 loss: 2.6292 2022/07/22 15:24:23 - mmengine - INFO - Epoch(train) [6][1660/3757] lr: 1.0000e-02 eta: 23:21:17 time: 0.2575 data_time: 0.0276 memory: 6108 grad_norm: 5.6299 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6262 loss: 2.6262 2022/07/22 15:24:28 - mmengine - INFO - Epoch(train) [6][1680/3757] lr: 1.0000e-02 eta: 23:21:11 time: 0.2353 data_time: 0.0202 memory: 6108 grad_norm: 5.6645 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8419 loss: 2.8419 2022/07/22 15:24:32 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 1.0000e-02 eta: 23:21:01 time: 0.2214 data_time: 0.0199 memory: 6108 grad_norm: 5.7446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3981 loss: 2.3981 2022/07/22 15:24:37 - mmengine - INFO - Epoch(train) [6][1720/3757] lr: 1.0000e-02 eta: 23:20:57 time: 0.2365 data_time: 0.0189 memory: 6108 grad_norm: 5.6726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5804 loss: 2.5804 2022/07/22 15:24:42 - mmengine - INFO - Epoch(train) [6][1740/3757] lr: 1.0000e-02 eta: 23:20:55 time: 0.2473 data_time: 0.0220 memory: 6108 grad_norm: 5.5738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7977 loss: 2.7977 2022/07/22 15:24:46 - mmengine - INFO - Epoch(train) [6][1760/3757] lr: 1.0000e-02 eta: 23:20:49 time: 0.2326 data_time: 0.0167 memory: 6108 grad_norm: 5.6829 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4393 loss: 2.4393 2022/07/22 15:24:51 - mmengine - INFO - Epoch(train) [6][1780/3757] lr: 1.0000e-02 eta: 23:20:39 time: 0.2216 data_time: 0.0191 memory: 6108 grad_norm: 5.6952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6430 loss: 2.6430 2022/07/22 15:24:55 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 1.0000e-02 eta: 23:20:30 time: 0.2228 data_time: 0.0237 memory: 6108 grad_norm: 5.7293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4786 loss: 2.4786 2022/07/22 15:25:00 - mmengine - INFO - Epoch(train) [6][1820/3757] lr: 1.0000e-02 eta: 23:20:23 time: 0.2300 data_time: 0.0188 memory: 6108 grad_norm: 5.7708 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5812 loss: 2.5812 2022/07/22 15:25:05 - mmengine - INFO - Epoch(train) [6][1840/3757] lr: 1.0000e-02 eta: 23:20:29 time: 0.2673 data_time: 0.0200 memory: 6108 grad_norm: 5.5344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9473 loss: 2.9473 2022/07/22 15:25:10 - mmengine - INFO - Epoch(train) [6][1860/3757] lr: 1.0000e-02 eta: 23:20:20 time: 0.2262 data_time: 0.0257 memory: 6108 grad_norm: 5.7235 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7032 loss: 2.7032 2022/07/22 15:25:14 - mmengine - INFO - Epoch(train) [6][1880/3757] lr: 1.0000e-02 eta: 23:20:10 time: 0.2214 data_time: 0.0217 memory: 6108 grad_norm: 5.7054 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5558 loss: 2.5558 2022/07/22 15:25:19 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 1.0000e-02 eta: 23:20:04 time: 0.2315 data_time: 0.0231 memory: 6108 grad_norm: 5.8013 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5236 loss: 2.5236 2022/07/22 15:25:23 - mmengine - INFO - Epoch(train) [6][1920/3757] lr: 1.0000e-02 eta: 23:19:54 time: 0.2202 data_time: 0.0232 memory: 6108 grad_norm: 5.6786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8214 loss: 2.8214 2022/07/22 15:25:28 - mmengine - INFO - Epoch(train) [6][1940/3757] lr: 1.0000e-02 eta: 23:19:55 time: 0.2550 data_time: 0.0209 memory: 6108 grad_norm: 5.6214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6178 loss: 2.6178 2022/07/22 15:25:33 - mmengine - INFO - Epoch(train) [6][1960/3757] lr: 1.0000e-02 eta: 23:19:44 time: 0.2185 data_time: 0.0192 memory: 6108 grad_norm: 5.8706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5764 loss: 2.5764 2022/07/22 15:25:37 - mmengine - INFO - Epoch(train) [6][1980/3757] lr: 1.0000e-02 eta: 23:19:35 time: 0.2227 data_time: 0.0296 memory: 6108 grad_norm: 5.9140 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7752 loss: 2.7752 2022/07/22 15:25:42 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 1.0000e-02 eta: 23:19:27 time: 0.2294 data_time: 0.0188 memory: 6108 grad_norm: 5.8057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5374 loss: 2.5374 2022/07/22 15:25:47 - mmengine - INFO - Epoch(train) [6][2020/3757] lr: 1.0000e-02 eta: 23:19:32 time: 0.2651 data_time: 0.0185 memory: 6108 grad_norm: 5.8726 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8245 loss: 2.8245 2022/07/22 15:25:51 - mmengine - INFO - Epoch(train) [6][2040/3757] lr: 1.0000e-02 eta: 23:19:21 time: 0.2178 data_time: 0.0225 memory: 6108 grad_norm: 5.8587 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7003 loss: 2.7003 2022/07/22 15:25:56 - mmengine - INFO - Epoch(train) [6][2060/3757] lr: 1.0000e-02 eta: 23:19:11 time: 0.2192 data_time: 0.0198 memory: 6108 grad_norm: 5.6268 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3095 loss: 2.3095 2022/07/22 15:26:01 - mmengine - INFO - Epoch(train) [6][2080/3757] lr: 1.0000e-02 eta: 23:19:07 time: 0.2405 data_time: 0.0190 memory: 6108 grad_norm: 5.4947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6866 loss: 2.6866 2022/07/22 15:26:06 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 1.0000e-02 eta: 23:19:08 time: 0.2527 data_time: 0.0544 memory: 6108 grad_norm: 5.7554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5396 loss: 2.5396 2022/07/22 15:26:10 - mmengine - INFO - Epoch(train) [6][2120/3757] lr: 1.0000e-02 eta: 23:18:57 time: 0.2179 data_time: 0.0212 memory: 6108 grad_norm: 5.6135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9700 loss: 2.9700 2022/07/22 15:26:15 - mmengine - INFO - Epoch(train) [6][2140/3757] lr: 1.0000e-02 eta: 23:18:58 time: 0.2541 data_time: 0.0225 memory: 6108 grad_norm: 5.7993 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5005 loss: 2.5005 2022/07/22 15:26:20 - mmengine - INFO - Epoch(train) [6][2160/3757] lr: 1.0000e-02 eta: 23:18:55 time: 0.2420 data_time: 0.0248 memory: 6108 grad_norm: 5.6492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6462 loss: 2.6462 2022/07/22 15:26:24 - mmengine - INFO - Epoch(train) [6][2180/3757] lr: 1.0000e-02 eta: 23:18:46 time: 0.2233 data_time: 0.0188 memory: 6108 grad_norm: 5.6731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7952 loss: 2.7952 2022/07/22 15:26:29 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 1.0000e-02 eta: 23:18:41 time: 0.2347 data_time: 0.0187 memory: 6108 grad_norm: 5.5685 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7200 loss: 2.7200 2022/07/22 15:26:32 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:26:34 - mmengine - INFO - Epoch(train) [6][2220/3757] lr: 1.0000e-02 eta: 23:18:32 time: 0.2239 data_time: 0.0287 memory: 6108 grad_norm: 5.6912 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8265 loss: 2.8265 2022/07/22 15:26:38 - mmengine - INFO - Epoch(train) [6][2240/3757] lr: 1.0000e-02 eta: 23:18:20 time: 0.2173 data_time: 0.0193 memory: 6108 grad_norm: 5.6962 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3632 loss: 2.3632 2022/07/22 15:26:42 - mmengine - INFO - Epoch(train) [6][2260/3757] lr: 1.0000e-02 eta: 23:18:11 time: 0.2242 data_time: 0.0301 memory: 6108 grad_norm: 5.7884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6198 loss: 2.6198 2022/07/22 15:26:47 - mmengine - INFO - Epoch(train) [6][2280/3757] lr: 1.0000e-02 eta: 23:18:12 time: 0.2522 data_time: 0.0457 memory: 6108 grad_norm: 5.7634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7555 loss: 2.7555 2022/07/22 15:26:52 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 1.0000e-02 eta: 23:18:02 time: 0.2223 data_time: 0.0206 memory: 6108 grad_norm: 5.8265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5680 loss: 2.5680 2022/07/22 15:26:56 - mmengine - INFO - Epoch(train) [6][2320/3757] lr: 1.0000e-02 eta: 23:17:55 time: 0.2289 data_time: 0.0205 memory: 6108 grad_norm: 5.7477 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8004 loss: 2.8004 2022/07/22 15:27:01 - mmengine - INFO - Epoch(train) [6][2340/3757] lr: 1.0000e-02 eta: 23:17:52 time: 0.2399 data_time: 0.0257 memory: 6108 grad_norm: 5.6867 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6455 loss: 2.6455 2022/07/22 15:27:06 - mmengine - INFO - Epoch(train) [6][2360/3757] lr: 1.0000e-02 eta: 23:17:50 time: 0.2446 data_time: 0.0167 memory: 6108 grad_norm: 5.7177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4890 loss: 2.4890 2022/07/22 15:27:11 - mmengine - INFO - Epoch(train) [6][2380/3757] lr: 1.0000e-02 eta: 23:17:40 time: 0.2215 data_time: 0.0189 memory: 6108 grad_norm: 5.5392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5684 loss: 2.5684 2022/07/22 15:27:15 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 1.0000e-02 eta: 23:17:28 time: 0.2161 data_time: 0.0223 memory: 6108 grad_norm: 5.5925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7044 loss: 2.7044 2022/07/22 15:27:19 - mmengine - INFO - Epoch(train) [6][2420/3757] lr: 1.0000e-02 eta: 23:17:21 time: 0.2294 data_time: 0.0304 memory: 6108 grad_norm: 5.7962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5452 loss: 2.5452 2022/07/22 15:27:24 - mmengine - INFO - Epoch(train) [6][2440/3757] lr: 1.0000e-02 eta: 23:17:17 time: 0.2388 data_time: 0.0167 memory: 6108 grad_norm: 5.6955 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8695 loss: 2.8695 2022/07/22 15:27:29 - mmengine - INFO - Epoch(train) [6][2460/3757] lr: 1.0000e-02 eta: 23:17:20 time: 0.2601 data_time: 0.0216 memory: 6108 grad_norm: 5.6394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6314 loss: 2.6314 2022/07/22 15:27:34 - mmengine - INFO - Epoch(train) [6][2480/3757] lr: 1.0000e-02 eta: 23:17:15 time: 0.2364 data_time: 0.0176 memory: 6108 grad_norm: 5.5450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7701 loss: 2.7701 2022/07/22 15:27:39 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 1.0000e-02 eta: 23:17:09 time: 0.2300 data_time: 0.0178 memory: 6108 grad_norm: 5.6249 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7469 loss: 2.7469 2022/07/22 15:27:43 - mmengine - INFO - Epoch(train) [6][2520/3757] lr: 1.0000e-02 eta: 23:16:59 time: 0.2210 data_time: 0.0217 memory: 6108 grad_norm: 5.6573 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7091 loss: 2.7091 2022/07/22 15:27:48 - mmengine - INFO - Epoch(train) [6][2540/3757] lr: 1.0000e-02 eta: 23:16:53 time: 0.2325 data_time: 0.0201 memory: 6108 grad_norm: 5.7681 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8345 loss: 2.8345 2022/07/22 15:27:52 - mmengine - INFO - Epoch(train) [6][2560/3757] lr: 1.0000e-02 eta: 23:16:42 time: 0.2196 data_time: 0.0168 memory: 6108 grad_norm: 5.7286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6265 loss: 2.6265 2022/07/22 15:27:57 - mmengine - INFO - Epoch(train) [6][2580/3757] lr: 1.0000e-02 eta: 23:16:38 time: 0.2368 data_time: 0.0234 memory: 6108 grad_norm: 5.7934 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5688 loss: 2.5688 2022/07/22 15:28:02 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 1.0000e-02 eta: 23:16:30 time: 0.2284 data_time: 0.0219 memory: 6108 grad_norm: 5.5981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3949 loss: 2.3949 2022/07/22 15:28:07 - mmengine - INFO - Epoch(train) [6][2620/3757] lr: 1.0000e-02 eta: 23:16:34 time: 0.2611 data_time: 0.0158 memory: 6108 grad_norm: 5.6315 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7666 loss: 2.7666 2022/07/22 15:28:11 - mmengine - INFO - Epoch(train) [6][2640/3757] lr: 1.0000e-02 eta: 23:16:24 time: 0.2219 data_time: 0.0281 memory: 6108 grad_norm: 5.7126 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1420 loss: 3.1420 2022/07/22 15:28:16 - mmengine - INFO - Epoch(train) [6][2660/3757] lr: 1.0000e-02 eta: 23:16:18 time: 0.2336 data_time: 0.0185 memory: 6108 grad_norm: 5.6377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5379 loss: 2.5379 2022/07/22 15:28:20 - mmengine - INFO - Epoch(train) [6][2680/3757] lr: 1.0000e-02 eta: 23:16:08 time: 0.2198 data_time: 0.0195 memory: 6108 grad_norm: 5.5678 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1071 loss: 2.1071 2022/07/22 15:28:25 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 1.0000e-02 eta: 23:16:07 time: 0.2468 data_time: 0.0243 memory: 6108 grad_norm: 5.6325 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4569 loss: 2.4569 2022/07/22 15:28:30 - mmengine - INFO - Epoch(train) [6][2720/3757] lr: 1.0000e-02 eta: 23:16:00 time: 0.2296 data_time: 0.0257 memory: 6108 grad_norm: 5.7677 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5535 loss: 2.5535 2022/07/22 15:28:35 - mmengine - INFO - Epoch(train) [6][2740/3757] lr: 1.0000e-02 eta: 23:15:55 time: 0.2361 data_time: 0.0180 memory: 6108 grad_norm: 5.7295 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6907 loss: 2.6907 2022/07/22 15:28:40 - mmengine - INFO - Epoch(train) [6][2760/3757] lr: 1.0000e-02 eta: 23:15:58 time: 0.2613 data_time: 0.0196 memory: 6108 grad_norm: 5.7780 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8959 loss: 2.8959 2022/07/22 15:28:45 - mmengine - INFO - Epoch(train) [6][2780/3757] lr: 1.0000e-02 eta: 23:15:55 time: 0.2406 data_time: 0.0244 memory: 6108 grad_norm: 5.8951 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4635 loss: 2.4635 2022/07/22 15:28:49 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 1.0000e-02 eta: 23:15:49 time: 0.2338 data_time: 0.0249 memory: 6108 grad_norm: 5.7253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6416 loss: 2.6416 2022/07/22 15:28:54 - mmengine - INFO - Epoch(train) [6][2820/3757] lr: 1.0000e-02 eta: 23:15:45 time: 0.2368 data_time: 0.0184 memory: 6108 grad_norm: 5.8259 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4107 loss: 2.4107 2022/07/22 15:28:59 - mmengine - INFO - Epoch(train) [6][2840/3757] lr: 1.0000e-02 eta: 23:15:37 time: 0.2281 data_time: 0.0228 memory: 6108 grad_norm: 5.7018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6385 loss: 2.6385 2022/07/22 15:29:03 - mmengine - INFO - Epoch(train) [6][2860/3757] lr: 1.0000e-02 eta: 23:15:28 time: 0.2233 data_time: 0.0244 memory: 6108 grad_norm: 5.8026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7175 loss: 2.7175 2022/07/22 15:29:08 - mmengine - INFO - Epoch(train) [6][2880/3757] lr: 1.0000e-02 eta: 23:15:30 time: 0.2556 data_time: 0.0156 memory: 6108 grad_norm: 5.5634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8607 loss: 2.8607 2022/07/22 15:29:13 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 1.0000e-02 eta: 23:15:20 time: 0.2225 data_time: 0.0217 memory: 6108 grad_norm: 5.5966 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6049 loss: 2.6049 2022/07/22 15:29:17 - mmengine - INFO - Epoch(train) [6][2920/3757] lr: 1.0000e-02 eta: 23:15:12 time: 0.2245 data_time: 0.0235 memory: 6108 grad_norm: 5.5540 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7338 loss: 2.7338 2022/07/22 15:29:22 - mmengine - INFO - Epoch(train) [6][2940/3757] lr: 1.0000e-02 eta: 23:15:09 time: 0.2433 data_time: 0.0177 memory: 6108 grad_norm: 5.7166 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7381 loss: 2.7381 2022/07/22 15:29:27 - mmengine - INFO - Epoch(train) [6][2960/3757] lr: 1.0000e-02 eta: 23:15:02 time: 0.2292 data_time: 0.0170 memory: 6108 grad_norm: 5.6426 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7373 loss: 2.7373 2022/07/22 15:29:31 - mmengine - INFO - Epoch(train) [6][2980/3757] lr: 1.0000e-02 eta: 23:14:52 time: 0.2203 data_time: 0.0223 memory: 6108 grad_norm: 5.7434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4248 loss: 2.4248 2022/07/22 15:29:35 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 1.0000e-02 eta: 23:14:44 time: 0.2251 data_time: 0.0173 memory: 6108 grad_norm: 5.5876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4525 loss: 2.4525 2022/07/22 15:29:41 - mmengine - INFO - Epoch(train) [6][3020/3757] lr: 1.0000e-02 eta: 23:14:54 time: 0.2818 data_time: 0.0213 memory: 6108 grad_norm: 5.5161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4330 loss: 2.4330 2022/07/22 15:29:46 - mmengine - INFO - Epoch(train) [6][3040/3757] lr: 1.0000e-02 eta: 23:14:48 time: 0.2318 data_time: 0.0280 memory: 6108 grad_norm: 5.6033 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5847 loss: 2.5847 2022/07/22 15:29:50 - mmengine - INFO - Epoch(train) [6][3060/3757] lr: 1.0000e-02 eta: 23:14:39 time: 0.2236 data_time: 0.0234 memory: 6108 grad_norm: 5.7040 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3991 loss: 2.3991 2022/07/22 15:29:55 - mmengine - INFO - Epoch(train) [6][3080/3757] lr: 1.0000e-02 eta: 23:14:30 time: 0.2250 data_time: 0.0208 memory: 6108 grad_norm: 5.5439 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6918 loss: 2.6918 2022/07/22 15:30:00 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 1.0000e-02 eta: 23:14:30 time: 0.2495 data_time: 0.0504 memory: 6108 grad_norm: 5.6558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7177 loss: 2.7177 2022/07/22 15:30:04 - mmengine - INFO - Epoch(train) [6][3120/3757] lr: 1.0000e-02 eta: 23:14:21 time: 0.2235 data_time: 0.0270 memory: 6108 grad_norm: 5.7572 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6473 loss: 2.6473 2022/07/22 15:30:09 - mmengine - INFO - Epoch(train) [6][3140/3757] lr: 1.0000e-02 eta: 23:14:16 time: 0.2350 data_time: 0.0196 memory: 6108 grad_norm: 5.7605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4250 loss: 2.4250 2022/07/22 15:30:14 - mmengine - INFO - Epoch(train) [6][3160/3757] lr: 1.0000e-02 eta: 23:14:10 time: 0.2353 data_time: 0.0327 memory: 6108 grad_norm: 5.7132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6436 loss: 2.6436 2022/07/22 15:30:18 - mmengine - INFO - Epoch(train) [6][3180/3757] lr: 1.0000e-02 eta: 23:14:08 time: 0.2426 data_time: 0.0227 memory: 6108 grad_norm: 5.8057 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7996 loss: 2.7996 2022/07/22 15:30:23 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 1.0000e-02 eta: 23:14:00 time: 0.2273 data_time: 0.0220 memory: 6108 grad_norm: 5.6179 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7531 loss: 2.7531 2022/07/22 15:30:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:30:28 - mmengine - INFO - Epoch(train) [6][3220/3757] lr: 1.0000e-02 eta: 23:13:57 time: 0.2428 data_time: 0.0260 memory: 6108 grad_norm: 5.6167 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6606 loss: 2.6606 2022/07/22 15:30:33 - mmengine - INFO - Epoch(train) [6][3240/3757] lr: 1.0000e-02 eta: 23:13:53 time: 0.2362 data_time: 0.0188 memory: 6108 grad_norm: 5.6085 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5725 loss: 2.5725 2022/07/22 15:30:38 - mmengine - INFO - Epoch(train) [6][3260/3757] lr: 1.0000e-02 eta: 23:13:51 time: 0.2466 data_time: 0.0194 memory: 6108 grad_norm: 5.6970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7874 loss: 2.7874 2022/07/22 15:30:42 - mmengine - INFO - Epoch(train) [6][3280/3757] lr: 1.0000e-02 eta: 23:13:43 time: 0.2264 data_time: 0.0199 memory: 6108 grad_norm: 5.5917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6220 loss: 2.6220 2022/07/22 15:30:47 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 1.0000e-02 eta: 23:13:40 time: 0.2415 data_time: 0.0256 memory: 6108 grad_norm: 5.6113 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6106 loss: 2.6106 2022/07/22 15:30:51 - mmengine - INFO - Epoch(train) [6][3320/3757] lr: 1.0000e-02 eta: 23:13:32 time: 0.2266 data_time: 0.0197 memory: 6108 grad_norm: 5.6247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7998 loss: 2.7998 2022/07/22 15:30:56 - mmengine - INFO - Epoch(train) [6][3340/3757] lr: 1.0000e-02 eta: 23:13:30 time: 0.2440 data_time: 0.0222 memory: 6108 grad_norm: 5.6129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6513 loss: 2.6513 2022/07/22 15:31:01 - mmengine - INFO - Epoch(train) [6][3360/3757] lr: 1.0000e-02 eta: 23:13:29 time: 0.2483 data_time: 0.0179 memory: 6108 grad_norm: 5.5945 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8332 loss: 2.8332 2022/07/22 15:31:06 - mmengine - INFO - Epoch(train) [6][3380/3757] lr: 1.0000e-02 eta: 23:13:21 time: 0.2275 data_time: 0.0193 memory: 6108 grad_norm: 5.6588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6475 loss: 2.6475 2022/07/22 15:31:10 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 1.0000e-02 eta: 23:13:13 time: 0.2251 data_time: 0.0288 memory: 6108 grad_norm: 5.6039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6281 loss: 2.6281 2022/07/22 15:31:15 - mmengine - INFO - Epoch(train) [6][3420/3757] lr: 1.0000e-02 eta: 23:13:04 time: 0.2225 data_time: 0.0226 memory: 6108 grad_norm: 5.8189 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7140 loss: 2.7140 2022/07/22 15:31:19 - mmengine - INFO - Epoch(train) [6][3440/3757] lr: 1.0000e-02 eta: 23:12:57 time: 0.2309 data_time: 0.0331 memory: 6108 grad_norm: 5.6581 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6147 loss: 2.6147 2022/07/22 15:31:24 - mmengine - INFO - Epoch(train) [6][3460/3757] lr: 1.0000e-02 eta: 23:12:55 time: 0.2452 data_time: 0.0226 memory: 6108 grad_norm: 5.7406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6137 loss: 2.6137 2022/07/22 15:31:29 - mmengine - INFO - Epoch(train) [6][3480/3757] lr: 1.0000e-02 eta: 23:12:48 time: 0.2294 data_time: 0.0296 memory: 6108 grad_norm: 5.4327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4983 loss: 2.4983 2022/07/22 15:31:34 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 1.0000e-02 eta: 23:12:42 time: 0.2306 data_time: 0.0197 memory: 6108 grad_norm: 5.6685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2410 loss: 2.2410 2022/07/22 15:31:38 - mmengine - INFO - Epoch(train) [6][3520/3757] lr: 1.0000e-02 eta: 23:12:32 time: 0.2221 data_time: 0.0204 memory: 6108 grad_norm: 5.6336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6452 loss: 2.6452 2022/07/22 15:31:43 - mmengine - INFO - Epoch(train) [6][3540/3757] lr: 1.0000e-02 eta: 23:12:34 time: 0.2574 data_time: 0.0185 memory: 6108 grad_norm: 5.6538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6734 loss: 2.6734 2022/07/22 15:31:48 - mmengine - INFO - Epoch(train) [6][3560/3757] lr: 1.0000e-02 eta: 23:12:30 time: 0.2362 data_time: 0.0266 memory: 6108 grad_norm: 5.6203 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7918 loss: 2.7918 2022/07/22 15:31:52 - mmengine - INFO - Epoch(train) [6][3580/3757] lr: 1.0000e-02 eta: 23:12:21 time: 0.2255 data_time: 0.0218 memory: 6108 grad_norm: 5.7023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5850 loss: 2.5850 2022/07/22 15:31:57 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 1.0000e-02 eta: 23:12:17 time: 0.2371 data_time: 0.0230 memory: 6108 grad_norm: 5.6964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4845 loss: 2.4845 2022/07/22 15:32:02 - mmengine - INFO - Epoch(train) [6][3620/3757] lr: 1.0000e-02 eta: 23:12:07 time: 0.2217 data_time: 0.0200 memory: 6108 grad_norm: 5.7079 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6039 loss: 2.6039 2022/07/22 15:32:06 - mmengine - INFO - Epoch(train) [6][3640/3757] lr: 1.0000e-02 eta: 23:12:00 time: 0.2283 data_time: 0.0227 memory: 6108 grad_norm: 5.6979 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7863 loss: 2.7863 2022/07/22 15:32:11 - mmengine - INFO - Epoch(train) [6][3660/3757] lr: 1.0000e-02 eta: 23:11:54 time: 0.2332 data_time: 0.0223 memory: 6108 grad_norm: 5.5908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3971 loss: 2.3971 2022/07/22 15:32:15 - mmengine - INFO - Epoch(train) [6][3680/3757] lr: 1.0000e-02 eta: 23:11:48 time: 0.2322 data_time: 0.0200 memory: 6108 grad_norm: 5.6545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8525 loss: 2.8525 2022/07/22 15:32:20 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 1.0000e-02 eta: 23:11:41 time: 0.2273 data_time: 0.0189 memory: 6108 grad_norm: 5.9019 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/07/22 15:32:26 - mmengine - INFO - Epoch(train) [6][3720/3757] lr: 1.0000e-02 eta: 23:11:51 time: 0.2829 data_time: 0.0170 memory: 6108 grad_norm: 5.5629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4243 loss: 2.4243 2022/07/22 15:32:30 - mmengine - INFO - Epoch(train) [6][3740/3757] lr: 1.0000e-02 eta: 23:11:42 time: 0.2250 data_time: 0.0237 memory: 6108 grad_norm: 5.5748 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5617 loss: 2.5617 2022/07/22 15:32:34 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:32:34 - mmengine - INFO - Epoch(train) [6][3757/3757] lr: 1.0000e-02 eta: 23:11:42 time: 0.2382 data_time: 0.0127 memory: 6108 grad_norm: 5.5810 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.8064 loss: 2.8064 2022/07/22 15:32:40 - mmengine - INFO - Epoch(val) [6][20/310] eta: 0:01:22 time: 0.2837 data_time: 0.2026 memory: 1428 2022/07/22 15:32:44 - mmengine - INFO - Epoch(val) [6][40/310] eta: 0:00:50 time: 0.1887 data_time: 0.1101 memory: 1428 2022/07/22 15:32:48 - mmengine - INFO - Epoch(val) [6][60/310] eta: 0:00:54 time: 0.2161 data_time: 0.1389 memory: 1428 2022/07/22 15:32:52 - mmengine - INFO - Epoch(val) [6][80/310] eta: 0:00:44 time: 0.1920 data_time: 0.1144 memory: 1428 2022/07/22 15:32:56 - mmengine - INFO - Epoch(val) [6][100/310] eta: 0:00:46 time: 0.2221 data_time: 0.1460 memory: 1428 2022/07/22 15:33:00 - mmengine - INFO - Epoch(val) [6][120/310] eta: 0:00:35 time: 0.1870 data_time: 0.1093 memory: 1428 2022/07/22 15:33:06 - mmengine - INFO - Epoch(val) [6][140/310] eta: 0:00:46 time: 0.2753 data_time: 0.2015 memory: 1428 2022/07/22 15:33:09 - mmengine - INFO - Epoch(val) [6][160/310] eta: 0:00:28 time: 0.1884 data_time: 0.1141 memory: 1428 2022/07/22 15:33:14 - mmengine - INFO - Epoch(val) [6][180/310] eta: 0:00:33 time: 0.2563 data_time: 0.1796 memory: 1428 2022/07/22 15:33:18 - mmengine - INFO - Epoch(val) [6][200/310] eta: 0:00:18 time: 0.1723 data_time: 0.0985 memory: 1428 2022/07/22 15:33:22 - mmengine - INFO - Epoch(val) [6][220/310] eta: 0:00:18 time: 0.2095 data_time: 0.1343 memory: 1428 2022/07/22 15:33:26 - mmengine - INFO - Epoch(val) [6][240/310] eta: 0:00:13 time: 0.1899 data_time: 0.1096 memory: 1428 2022/07/22 15:33:31 - mmengine - INFO - Epoch(val) [6][260/310] eta: 0:00:12 time: 0.2455 data_time: 0.1716 memory: 1428 2022/07/22 15:33:35 - mmengine - INFO - Epoch(val) [6][280/310] eta: 0:00:05 time: 0.1899 data_time: 0.1150 memory: 1428 2022/07/22 15:33:39 - mmengine - INFO - Epoch(val) [6][300/310] eta: 0:00:02 time: 0.2004 data_time: 0.1230 memory: 1428 2022/07/22 15:33:43 - mmengine - INFO - Epoch(val) [6][310/310] acc/top1: 0.4582 acc/top5: 0.7292 acc/mean1: 0.4580 2022/07/22 15:33:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/07/22 15:33:45 - mmengine - INFO - The best checkpoint with 0.4582 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/07/22 15:33:51 - mmengine - INFO - Epoch(train) [7][20/3757] lr: 1.0000e-02 eta: 23:10:43 time: 0.2750 data_time: 0.0848 memory: 6108 grad_norm: 5.7637 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6488 loss: 2.6488 2022/07/22 15:33:56 - mmengine - INFO - Epoch(train) [7][40/3757] lr: 1.0000e-02 eta: 23:10:38 time: 0.2364 data_time: 0.0336 memory: 6108 grad_norm: 5.6846 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5114 loss: 2.5114 2022/07/22 15:34:00 - mmengine - INFO - Epoch(train) [7][60/3757] lr: 1.0000e-02 eta: 23:10:31 time: 0.2293 data_time: 0.0316 memory: 6108 grad_norm: 5.6272 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5355 loss: 2.5355 2022/07/22 15:34:05 - mmengine - INFO - Epoch(train) [7][80/3757] lr: 1.0000e-02 eta: 23:10:23 time: 0.2239 data_time: 0.0191 memory: 6108 grad_norm: 5.7501 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6130 loss: 2.6130 2022/07/22 15:34:10 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 1.0000e-02 eta: 23:10:21 time: 0.2453 data_time: 0.0478 memory: 6108 grad_norm: 5.7385 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5827 loss: 2.5827 2022/07/22 15:34:14 - mmengine - INFO - Epoch(train) [7][120/3757] lr: 1.0000e-02 eta: 23:10:12 time: 0.2239 data_time: 0.0235 memory: 6108 grad_norm: 5.4726 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8559 loss: 2.8559 2022/07/22 15:34:19 - mmengine - INFO - Epoch(train) [7][140/3757] lr: 1.0000e-02 eta: 23:10:11 time: 0.2481 data_time: 0.0248 memory: 6108 grad_norm: 5.7336 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5691 loss: 2.5691 2022/07/22 15:34:23 - mmengine - INFO - Epoch(train) [7][160/3757] lr: 1.0000e-02 eta: 23:10:00 time: 0.2173 data_time: 0.0218 memory: 6108 grad_norm: 5.7193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4236 loss: 2.4236 2022/07/22 15:34:28 - mmengine - INFO - Epoch(train) [7][180/3757] lr: 1.0000e-02 eta: 23:10:00 time: 0.2504 data_time: 0.0210 memory: 6108 grad_norm: 5.6171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4252 loss: 2.4252 2022/07/22 15:34:33 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 1.0000e-02 eta: 23:09:52 time: 0.2249 data_time: 0.0216 memory: 6108 grad_norm: 5.6140 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7321 loss: 2.7321 2022/07/22 15:34:38 - mmengine - INFO - Epoch(train) [7][220/3757] lr: 1.0000e-02 eta: 23:09:46 time: 0.2340 data_time: 0.0205 memory: 6108 grad_norm: 5.6374 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6113 loss: 2.6113 2022/07/22 15:34:42 - mmengine - INFO - Epoch(train) [7][240/3757] lr: 1.0000e-02 eta: 23:09:39 time: 0.2292 data_time: 0.0217 memory: 6108 grad_norm: 5.5745 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3434 loss: 2.3434 2022/07/22 15:34:47 - mmengine - INFO - Epoch(train) [7][260/3757] lr: 1.0000e-02 eta: 23:09:35 time: 0.2384 data_time: 0.0248 memory: 6108 grad_norm: 5.7527 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4789 loss: 2.4789 2022/07/22 15:34:51 - mmengine - INFO - Epoch(train) [7][280/3757] lr: 1.0000e-02 eta: 23:09:28 time: 0.2267 data_time: 0.0259 memory: 6108 grad_norm: 5.7439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5026 loss: 2.5026 2022/07/22 15:34:56 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 1.0000e-02 eta: 23:09:19 time: 0.2219 data_time: 0.0193 memory: 6108 grad_norm: 5.7253 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3007 loss: 2.3007 2022/07/22 15:35:00 - mmengine - INFO - Epoch(train) [7][320/3757] lr: 1.0000e-02 eta: 23:09:10 time: 0.2224 data_time: 0.0216 memory: 6108 grad_norm: 5.7025 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5273 loss: 2.5273 2022/07/22 15:35:05 - mmengine - INFO - Epoch(train) [7][340/3757] lr: 1.0000e-02 eta: 23:09:06 time: 0.2409 data_time: 0.0205 memory: 6108 grad_norm: 5.8579 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6207 loss: 2.6207 2022/07/22 15:35:10 - mmengine - INFO - Epoch(train) [7][360/3757] lr: 1.0000e-02 eta: 23:08:59 time: 0.2277 data_time: 0.0222 memory: 6108 grad_norm: 5.6815 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3836 loss: 2.3836 2022/07/22 15:35:14 - mmengine - INFO - Epoch(train) [7][380/3757] lr: 1.0000e-02 eta: 23:08:55 time: 0.2380 data_time: 0.0228 memory: 6108 grad_norm: 5.8301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7634 loss: 2.7634 2022/07/22 15:35:19 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 1.0000e-02 eta: 23:08:51 time: 0.2400 data_time: 0.0180 memory: 6108 grad_norm: 5.7627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6442 loss: 2.6442 2022/07/22 15:35:24 - mmengine - INFO - Epoch(train) [7][420/3757] lr: 1.0000e-02 eta: 23:08:45 time: 0.2325 data_time: 0.0353 memory: 6108 grad_norm: 5.6983 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3566 loss: 2.3566 2022/07/22 15:35:29 - mmengine - INFO - Epoch(train) [7][440/3757] lr: 1.0000e-02 eta: 23:08:39 time: 0.2325 data_time: 0.0324 memory: 6108 grad_norm: 5.5019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4278 loss: 2.4278 2022/07/22 15:35:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:35:34 - mmengine - INFO - Epoch(train) [7][460/3757] lr: 1.0000e-02 eta: 23:08:39 time: 0.2503 data_time: 0.0351 memory: 6108 grad_norm: 5.7347 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4690 loss: 2.4690 2022/07/22 15:35:38 - mmengine - INFO - Epoch(train) [7][480/3757] lr: 1.0000e-02 eta: 23:08:33 time: 0.2329 data_time: 0.0245 memory: 6108 grad_norm: 5.7852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4642 loss: 2.4642 2022/07/22 15:35:43 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 1.0000e-02 eta: 23:08:26 time: 0.2286 data_time: 0.0261 memory: 6108 grad_norm: 5.7124 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4651 loss: 2.4651 2022/07/22 15:35:48 - mmengine - INFO - Epoch(train) [7][520/3757] lr: 1.0000e-02 eta: 23:08:25 time: 0.2489 data_time: 0.0218 memory: 6108 grad_norm: 5.6852 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7182 loss: 2.7182 2022/07/22 15:35:52 - mmengine - INFO - Epoch(train) [7][540/3757] lr: 1.0000e-02 eta: 23:08:18 time: 0.2293 data_time: 0.0209 memory: 6108 grad_norm: 5.8427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5911 loss: 2.5911 2022/07/22 15:35:57 - mmengine - INFO - Epoch(train) [7][560/3757] lr: 1.0000e-02 eta: 23:08:13 time: 0.2336 data_time: 0.0204 memory: 6108 grad_norm: 5.7147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6688 loss: 2.6688 2022/07/22 15:36:02 - mmengine - INFO - Epoch(train) [7][580/3757] lr: 1.0000e-02 eta: 23:08:04 time: 0.2238 data_time: 0.0220 memory: 6108 grad_norm: 5.6714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3870 loss: 2.3870 2022/07/22 15:36:06 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 1.0000e-02 eta: 23:07:55 time: 0.2216 data_time: 0.0268 memory: 6108 grad_norm: 5.5246 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5915 loss: 2.5915 2022/07/22 15:36:11 - mmengine - INFO - Epoch(train) [7][620/3757] lr: 1.0000e-02 eta: 23:07:49 time: 0.2313 data_time: 0.0210 memory: 6108 grad_norm: 5.7105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4462 loss: 2.4462 2022/07/22 15:36:15 - mmengine - INFO - Epoch(train) [7][640/3757] lr: 1.0000e-02 eta: 23:07:43 time: 0.2328 data_time: 0.0254 memory: 6108 grad_norm: 5.4634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3613 loss: 2.3613 2022/07/22 15:36:20 - mmengine - INFO - Epoch(train) [7][660/3757] lr: 1.0000e-02 eta: 23:07:38 time: 0.2334 data_time: 0.0263 memory: 6108 grad_norm: 5.6411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5392 loss: 2.5392 2022/07/22 15:36:25 - mmengine - INFO - Epoch(train) [7][680/3757] lr: 1.0000e-02 eta: 23:07:34 time: 0.2382 data_time: 0.0190 memory: 6108 grad_norm: 5.7569 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7096 loss: 2.7096 2022/07/22 15:36:29 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 1.0000e-02 eta: 23:07:30 time: 0.2383 data_time: 0.0204 memory: 6108 grad_norm: 5.5235 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4960 loss: 2.4960 2022/07/22 15:36:34 - mmengine - INFO - Epoch(train) [7][720/3757] lr: 1.0000e-02 eta: 23:07:25 time: 0.2359 data_time: 0.0211 memory: 6108 grad_norm: 5.7186 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6268 loss: 2.6268 2022/07/22 15:36:39 - mmengine - INFO - Epoch(train) [7][740/3757] lr: 1.0000e-02 eta: 23:07:18 time: 0.2311 data_time: 0.0288 memory: 6108 grad_norm: 5.5731 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6259 loss: 2.6259 2022/07/22 15:36:43 - mmengine - INFO - Epoch(train) [7][760/3757] lr: 1.0000e-02 eta: 23:07:09 time: 0.2211 data_time: 0.0231 memory: 6108 grad_norm: 5.4122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5490 loss: 2.5490 2022/07/22 15:36:48 - mmengine - INFO - Epoch(train) [7][780/3757] lr: 1.0000e-02 eta: 23:07:00 time: 0.2213 data_time: 0.0244 memory: 6108 grad_norm: 5.6384 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5085 loss: 2.5085 2022/07/22 15:36:52 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 1.0000e-02 eta: 23:06:55 time: 0.2359 data_time: 0.0382 memory: 6108 grad_norm: 5.4539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3515 loss: 2.3515 2022/07/22 15:36:58 - mmengine - INFO - Epoch(train) [7][820/3757] lr: 1.0000e-02 eta: 23:06:57 time: 0.2592 data_time: 0.0230 memory: 6108 grad_norm: 5.5634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4841 loss: 2.4841 2022/07/22 15:37:03 - mmengine - INFO - Epoch(train) [7][840/3757] lr: 1.0000e-02 eta: 23:06:57 time: 0.2510 data_time: 0.0539 memory: 6108 grad_norm: 5.6338 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6191 loss: 2.6191 2022/07/22 15:37:07 - mmengine - INFO - Epoch(train) [7][860/3757] lr: 1.0000e-02 eta: 23:06:48 time: 0.2202 data_time: 0.0192 memory: 6108 grad_norm: 5.7376 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4938 loss: 2.4938 2022/07/22 15:37:11 - mmengine - INFO - Epoch(train) [7][880/3757] lr: 1.0000e-02 eta: 23:06:38 time: 0.2199 data_time: 0.0243 memory: 6108 grad_norm: 5.7224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6741 loss: 2.6741 2022/07/22 15:37:16 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 1.0000e-02 eta: 23:06:37 time: 0.2493 data_time: 0.0177 memory: 6108 grad_norm: 5.6971 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3111 loss: 2.3111 2022/07/22 15:37:21 - mmengine - INFO - Epoch(train) [7][920/3757] lr: 1.0000e-02 eta: 23:06:27 time: 0.2178 data_time: 0.0214 memory: 6108 grad_norm: 5.7383 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3477 loss: 2.3477 2022/07/22 15:37:25 - mmengine - INFO - Epoch(train) [7][940/3757] lr: 1.0000e-02 eta: 23:06:19 time: 0.2245 data_time: 0.0242 memory: 6108 grad_norm: 5.4530 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2692 loss: 2.2692 2022/07/22 15:37:30 - mmengine - INFO - Epoch(train) [7][960/3757] lr: 1.0000e-02 eta: 23:06:19 time: 0.2546 data_time: 0.0212 memory: 6108 grad_norm: 5.6870 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4877 loss: 2.4877 2022/07/22 15:37:35 - mmengine - INFO - Epoch(train) [7][980/3757] lr: 1.0000e-02 eta: 23:06:10 time: 0.2220 data_time: 0.0194 memory: 6108 grad_norm: 5.6362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6588 loss: 2.6588 2022/07/22 15:37:39 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 1.0000e-02 eta: 23:06:03 time: 0.2279 data_time: 0.0203 memory: 6108 grad_norm: 5.5678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1831 loss: 2.1831 2022/07/22 15:37:44 - mmengine - INFO - Epoch(train) [7][1020/3757] lr: 1.0000e-02 eta: 23:05:54 time: 0.2209 data_time: 0.0254 memory: 6108 grad_norm: 5.6930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7117 loss: 2.7117 2022/07/22 15:37:48 - mmengine - INFO - Epoch(train) [7][1040/3757] lr: 1.0000e-02 eta: 23:05:48 time: 0.2310 data_time: 0.0237 memory: 6108 grad_norm: 5.7170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3935 loss: 2.3935 2022/07/22 15:37:53 - mmengine - INFO - Epoch(train) [7][1060/3757] lr: 1.0000e-02 eta: 23:05:38 time: 0.2193 data_time: 0.0203 memory: 6108 grad_norm: 5.6705 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5305 loss: 2.5305 2022/07/22 15:37:58 - mmengine - INFO - Epoch(train) [7][1080/3757] lr: 1.0000e-02 eta: 23:05:37 time: 0.2485 data_time: 0.0235 memory: 6108 grad_norm: 5.7930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7254 loss: 2.7254 2022/07/22 15:38:03 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 1.0000e-02 eta: 23:05:37 time: 0.2516 data_time: 0.0198 memory: 6108 grad_norm: 5.7248 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7460 loss: 2.7460 2022/07/22 15:38:07 - mmengine - INFO - Epoch(train) [7][1120/3757] lr: 1.0000e-02 eta: 23:05:32 time: 0.2358 data_time: 0.0239 memory: 6108 grad_norm: 5.5933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3596 loss: 2.3596 2022/07/22 15:38:12 - mmengine - INFO - Epoch(train) [7][1140/3757] lr: 1.0000e-02 eta: 23:05:28 time: 0.2370 data_time: 0.0173 memory: 6108 grad_norm: 5.6814 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2118 loss: 2.2118 2022/07/22 15:38:17 - mmengine - INFO - Epoch(train) [7][1160/3757] lr: 1.0000e-02 eta: 23:05:21 time: 0.2291 data_time: 0.0226 memory: 6108 grad_norm: 5.7239 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7419 loss: 2.7419 2022/07/22 15:38:21 - mmengine - INFO - Epoch(train) [7][1180/3757] lr: 1.0000e-02 eta: 23:05:12 time: 0.2223 data_time: 0.0239 memory: 6108 grad_norm: 5.6428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4317 loss: 2.4317 2022/07/22 15:38:26 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 1.0000e-02 eta: 23:05:04 time: 0.2254 data_time: 0.0166 memory: 6108 grad_norm: 5.5046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2974 loss: 2.2974 2022/07/22 15:38:31 - mmengine - INFO - Epoch(train) [7][1220/3757] lr: 1.0000e-02 eta: 23:05:01 time: 0.2431 data_time: 0.0231 memory: 6108 grad_norm: 5.6022 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4663 loss: 2.4663 2022/07/22 15:38:35 - mmengine - INFO - Epoch(train) [7][1240/3757] lr: 1.0000e-02 eta: 23:04:52 time: 0.2201 data_time: 0.0217 memory: 6108 grad_norm: 5.6869 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6561 loss: 2.6561 2022/07/22 15:38:40 - mmengine - INFO - Epoch(train) [7][1260/3757] lr: 1.0000e-02 eta: 23:04:55 time: 0.2642 data_time: 0.0199 memory: 6108 grad_norm: 5.6620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7778 loss: 2.7778 2022/07/22 15:38:45 - mmengine - INFO - Epoch(train) [7][1280/3757] lr: 1.0000e-02 eta: 23:04:48 time: 0.2282 data_time: 0.0228 memory: 6108 grad_norm: 5.6415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5150 loss: 2.5150 2022/07/22 15:38:50 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 1.0000e-02 eta: 23:04:45 time: 0.2411 data_time: 0.0196 memory: 6108 grad_norm: 5.7023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6421 loss: 2.6421 2022/07/22 15:38:54 - mmengine - INFO - Epoch(train) [7][1320/3757] lr: 1.0000e-02 eta: 23:04:36 time: 0.2224 data_time: 0.0200 memory: 6108 grad_norm: 5.4800 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6952 loss: 2.6952 2022/07/22 15:38:59 - mmengine - INFO - Epoch(train) [7][1340/3757] lr: 1.0000e-02 eta: 23:04:29 time: 0.2278 data_time: 0.0265 memory: 6108 grad_norm: 5.5018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4411 loss: 2.4411 2022/07/22 15:39:03 - mmengine - INFO - Epoch(train) [7][1360/3757] lr: 1.0000e-02 eta: 23:04:21 time: 0.2237 data_time: 0.0207 memory: 6108 grad_norm: 5.5716 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7105 loss: 2.7105 2022/07/22 15:39:08 - mmengine - INFO - Epoch(train) [7][1380/3757] lr: 1.0000e-02 eta: 23:04:23 time: 0.2595 data_time: 0.0244 memory: 6108 grad_norm: 5.7327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3934 loss: 2.3934 2022/07/22 15:39:13 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 1.0000e-02 eta: 23:04:15 time: 0.2247 data_time: 0.0184 memory: 6108 grad_norm: 5.6241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4050 loss: 2.4050 2022/07/22 15:39:18 - mmengine - INFO - Epoch(train) [7][1420/3757] lr: 1.0000e-02 eta: 23:04:19 time: 0.2649 data_time: 0.0191 memory: 6108 grad_norm: 5.4687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5320 loss: 2.5320 2022/07/22 15:39:23 - mmengine - INFO - Epoch(train) [7][1440/3757] lr: 1.0000e-02 eta: 23:04:10 time: 0.2235 data_time: 0.0223 memory: 6108 grad_norm: 5.7391 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5372 loss: 2.5372 2022/07/22 15:39:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:39:27 - mmengine - INFO - Epoch(train) [7][1460/3757] lr: 1.0000e-02 eta: 23:04:05 time: 0.2361 data_time: 0.0286 memory: 6108 grad_norm: 5.7177 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4954 loss: 2.4954 2022/07/22 15:39:32 - mmengine - INFO - Epoch(train) [7][1480/3757] lr: 1.0000e-02 eta: 23:03:56 time: 0.2208 data_time: 0.0278 memory: 6108 grad_norm: 5.6624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6866 loss: 2.6866 2022/07/22 15:39:37 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 1.0000e-02 eta: 23:03:52 time: 0.2372 data_time: 0.0233 memory: 6108 grad_norm: 5.7274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3814 loss: 2.3814 2022/07/22 15:39:41 - mmengine - INFO - Epoch(train) [7][1520/3757] lr: 1.0000e-02 eta: 23:03:46 time: 0.2312 data_time: 0.0219 memory: 6108 grad_norm: 5.6503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7993 loss: 2.7993 2022/07/22 15:39:46 - mmengine - INFO - Epoch(train) [7][1540/3757] lr: 1.0000e-02 eta: 23:03:41 time: 0.2374 data_time: 0.0192 memory: 6108 grad_norm: 5.6196 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5674 loss: 2.5674 2022/07/22 15:39:51 - mmengine - INFO - Epoch(train) [7][1560/3757] lr: 1.0000e-02 eta: 23:03:39 time: 0.2426 data_time: 0.0268 memory: 6108 grad_norm: 5.5657 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4892 loss: 2.4892 2022/07/22 15:39:55 - mmengine - INFO - Epoch(train) [7][1580/3757] lr: 1.0000e-02 eta: 23:03:33 time: 0.2345 data_time: 0.0225 memory: 6108 grad_norm: 5.3583 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2212 loss: 2.2212 2022/07/22 15:40:01 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 1.0000e-02 eta: 23:03:36 time: 0.2611 data_time: 0.0239 memory: 6108 grad_norm: 5.5889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3426 loss: 2.3426 2022/07/22 15:40:05 - mmengine - INFO - Epoch(train) [7][1620/3757] lr: 1.0000e-02 eta: 23:03:28 time: 0.2248 data_time: 0.0185 memory: 6108 grad_norm: 5.5705 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4785 loss: 2.4785 2022/07/22 15:40:10 - mmengine - INFO - Epoch(train) [7][1640/3757] lr: 1.0000e-02 eta: 23:03:20 time: 0.2239 data_time: 0.0207 memory: 6108 grad_norm: 5.7477 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5028 loss: 2.5028 2022/07/22 15:40:15 - mmengine - INFO - Epoch(train) [7][1660/3757] lr: 1.0000e-02 eta: 23:03:17 time: 0.2423 data_time: 0.0264 memory: 6108 grad_norm: 5.6479 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5582 loss: 2.5582 2022/07/22 15:40:19 - mmengine - INFO - Epoch(train) [7][1680/3757] lr: 1.0000e-02 eta: 23:03:13 time: 0.2397 data_time: 0.0193 memory: 6108 grad_norm: 5.7004 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6419 loss: 2.6419 2022/07/22 15:40:24 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 1.0000e-02 eta: 23:03:10 time: 0.2409 data_time: 0.0201 memory: 6108 grad_norm: 5.8134 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7029 loss: 2.7029 2022/07/22 15:40:29 - mmengine - INFO - Epoch(train) [7][1720/3757] lr: 1.0000e-02 eta: 23:03:03 time: 0.2301 data_time: 0.0236 memory: 6108 grad_norm: 5.5401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2681 loss: 2.2681 2022/07/22 15:40:33 - mmengine - INFO - Epoch(train) [7][1740/3757] lr: 1.0000e-02 eta: 23:02:53 time: 0.2165 data_time: 0.0186 memory: 6108 grad_norm: 5.6184 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4794 loss: 2.4794 2022/07/22 15:40:38 - mmengine - INFO - Epoch(train) [7][1760/3757] lr: 1.0000e-02 eta: 23:02:51 time: 0.2472 data_time: 0.0222 memory: 6108 grad_norm: 5.7296 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5750 loss: 2.5750 2022/07/22 15:40:43 - mmengine - INFO - Epoch(train) [7][1780/3757] lr: 1.0000e-02 eta: 23:02:45 time: 0.2305 data_time: 0.0269 memory: 6108 grad_norm: 5.7956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6710 loss: 2.6710 2022/07/22 15:40:47 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 1.0000e-02 eta: 23:02:42 time: 0.2421 data_time: 0.0248 memory: 6108 grad_norm: 5.7759 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6187 loss: 2.6187 2022/07/22 15:40:52 - mmengine - INFO - Epoch(train) [7][1820/3757] lr: 1.0000e-02 eta: 23:02:33 time: 0.2233 data_time: 0.0282 memory: 6108 grad_norm: 5.7680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1602 loss: 2.1602 2022/07/22 15:40:57 - mmengine - INFO - Epoch(train) [7][1840/3757] lr: 1.0000e-02 eta: 23:02:34 time: 0.2541 data_time: 0.0231 memory: 6108 grad_norm: 5.6290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6132 loss: 2.6132 2022/07/22 15:41:01 - mmengine - INFO - Epoch(train) [7][1860/3757] lr: 1.0000e-02 eta: 23:02:25 time: 0.2210 data_time: 0.0206 memory: 6108 grad_norm: 5.6489 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5127 loss: 2.5127 2022/07/22 15:41:06 - mmengine - INFO - Epoch(train) [7][1880/3757] lr: 1.0000e-02 eta: 23:02:15 time: 0.2193 data_time: 0.0199 memory: 6108 grad_norm: 5.5779 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5129 loss: 2.5129 2022/07/22 15:41:11 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 1.0000e-02 eta: 23:02:10 time: 0.2327 data_time: 0.0253 memory: 6108 grad_norm: 5.6708 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4407 loss: 2.4407 2022/07/22 15:41:15 - mmengine - INFO - Epoch(train) [7][1920/3757] lr: 1.0000e-02 eta: 23:02:01 time: 0.2211 data_time: 0.0216 memory: 6108 grad_norm: 5.5645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4893 loss: 2.4893 2022/07/22 15:41:20 - mmengine - INFO - Epoch(train) [7][1940/3757] lr: 1.0000e-02 eta: 23:02:03 time: 0.2598 data_time: 0.0320 memory: 6108 grad_norm: 5.7805 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5836 loss: 2.5836 2022/07/22 15:41:25 - mmengine - INFO - Epoch(train) [7][1960/3757] lr: 1.0000e-02 eta: 23:01:55 time: 0.2265 data_time: 0.0212 memory: 6108 grad_norm: 5.6962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6414 loss: 2.6414 2022/07/22 15:41:30 - mmengine - INFO - Epoch(train) [7][1980/3757] lr: 1.0000e-02 eta: 23:01:53 time: 0.2442 data_time: 0.0185 memory: 6108 grad_norm: 5.5746 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4403 loss: 2.4403 2022/07/22 15:41:34 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 1.0000e-02 eta: 23:01:44 time: 0.2208 data_time: 0.0260 memory: 6108 grad_norm: 5.6020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7488 loss: 2.7488 2022/07/22 15:41:38 - mmengine - INFO - Epoch(train) [7][2020/3757] lr: 1.0000e-02 eta: 23:01:34 time: 0.2196 data_time: 0.0249 memory: 6108 grad_norm: 5.4070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2956 loss: 2.2956 2022/07/22 15:41:43 - mmengine - INFO - Epoch(train) [7][2040/3757] lr: 1.0000e-02 eta: 23:01:24 time: 0.2187 data_time: 0.0208 memory: 6108 grad_norm: 5.5524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4079 loss: 2.4079 2022/07/22 15:41:47 - mmengine - INFO - Epoch(train) [7][2060/3757] lr: 1.0000e-02 eta: 23:01:20 time: 0.2373 data_time: 0.0232 memory: 6108 grad_norm: 5.6315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5563 loss: 2.5563 2022/07/22 15:41:52 - mmengine - INFO - Epoch(train) [7][2080/3757] lr: 1.0000e-02 eta: 23:01:17 time: 0.2414 data_time: 0.0473 memory: 6108 grad_norm: 5.5875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4419 loss: 2.4419 2022/07/22 15:41:57 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 1.0000e-02 eta: 23:01:07 time: 0.2180 data_time: 0.0196 memory: 6108 grad_norm: 5.4800 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3285 loss: 2.3285 2022/07/22 15:42:01 - mmengine - INFO - Epoch(train) [7][2120/3757] lr: 1.0000e-02 eta: 23:00:58 time: 0.2206 data_time: 0.0248 memory: 6108 grad_norm: 5.7221 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8737 loss: 2.8737 2022/07/22 15:42:06 - mmengine - INFO - Epoch(train) [7][2140/3757] lr: 1.0000e-02 eta: 23:01:00 time: 0.2589 data_time: 0.0206 memory: 6108 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5863 loss: 2.5863 2022/07/22 15:42:11 - mmengine - INFO - Epoch(train) [7][2160/3757] lr: 1.0000e-02 eta: 23:00:51 time: 0.2229 data_time: 0.0195 memory: 6108 grad_norm: 5.5553 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5300 loss: 2.5300 2022/07/22 15:42:15 - mmengine - INFO - Epoch(train) [7][2180/3757] lr: 1.0000e-02 eta: 23:00:42 time: 0.2214 data_time: 0.0224 memory: 6108 grad_norm: 5.5922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5141 loss: 2.5141 2022/07/22 15:42:20 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 1.0000e-02 eta: 23:00:34 time: 0.2217 data_time: 0.0232 memory: 6108 grad_norm: 5.4134 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5321 loss: 2.5321 2022/07/22 15:42:24 - mmengine - INFO - Epoch(train) [7][2220/3757] lr: 1.0000e-02 eta: 23:00:29 time: 0.2364 data_time: 0.0224 memory: 6108 grad_norm: 5.6659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5648 loss: 2.5648 2022/07/22 15:42:29 - mmengine - INFO - Epoch(train) [7][2240/3757] lr: 1.0000e-02 eta: 23:00:25 time: 0.2392 data_time: 0.0193 memory: 6108 grad_norm: 5.6270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5042 loss: 2.5042 2022/07/22 15:42:34 - mmengine - INFO - Epoch(train) [7][2260/3757] lr: 1.0000e-02 eta: 23:00:27 time: 0.2597 data_time: 0.0205 memory: 6108 grad_norm: 5.6273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6653 loss: 2.6653 2022/07/22 15:42:39 - mmengine - INFO - Epoch(train) [7][2280/3757] lr: 1.0000e-02 eta: 23:00:17 time: 0.2186 data_time: 0.0197 memory: 6108 grad_norm: 5.6253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1865 loss: 2.1865 2022/07/22 15:42:43 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 1.0000e-02 eta: 23:00:10 time: 0.2279 data_time: 0.0208 memory: 6108 grad_norm: 5.5266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5310 loss: 2.5310 2022/07/22 15:42:48 - mmengine - INFO - Epoch(train) [7][2320/3757] lr: 1.0000e-02 eta: 23:00:07 time: 0.2406 data_time: 0.0286 memory: 6108 grad_norm: 5.5659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5989 loss: 2.5989 2022/07/22 15:42:53 - mmengine - INFO - Epoch(train) [7][2340/3757] lr: 1.0000e-02 eta: 22:59:59 time: 0.2233 data_time: 0.0256 memory: 6108 grad_norm: 5.5703 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5574 loss: 2.5574 2022/07/22 15:42:57 - mmengine - INFO - Epoch(train) [7][2360/3757] lr: 1.0000e-02 eta: 22:59:48 time: 0.2144 data_time: 0.0198 memory: 6108 grad_norm: 5.7528 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6247 loss: 2.6247 2022/07/22 15:43:02 - mmengine - INFO - Epoch(train) [7][2380/3757] lr: 1.0000e-02 eta: 22:59:45 time: 0.2419 data_time: 0.0225 memory: 6108 grad_norm: 5.6689 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3336 loss: 2.3336 2022/07/22 15:43:07 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 1.0000e-02 eta: 22:59:45 time: 0.2535 data_time: 0.0200 memory: 6108 grad_norm: 5.8826 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5324 loss: 2.5324 2022/07/22 15:43:11 - mmengine - INFO - Epoch(train) [7][2420/3757] lr: 1.0000e-02 eta: 22:59:38 time: 0.2276 data_time: 0.0157 memory: 6108 grad_norm: 5.4788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5405 loss: 2.5405 2022/07/22 15:43:16 - mmengine - INFO - Epoch(train) [7][2440/3757] lr: 1.0000e-02 eta: 22:59:29 time: 0.2223 data_time: 0.0219 memory: 6108 grad_norm: 5.5747 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2649 loss: 2.2649 2022/07/22 15:43:20 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:43:20 - mmengine - INFO - Epoch(train) [7][2460/3757] lr: 1.0000e-02 eta: 22:59:22 time: 0.2259 data_time: 0.0308 memory: 6108 grad_norm: 5.6255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7919 loss: 2.7919 2022/07/22 15:43:25 - mmengine - INFO - Epoch(train) [7][2480/3757] lr: 1.0000e-02 eta: 22:59:15 time: 0.2269 data_time: 0.0218 memory: 6108 grad_norm: 5.4512 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4917 loss: 2.4917 2022/07/22 15:43:29 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 1.0000e-02 eta: 22:59:07 time: 0.2274 data_time: 0.0217 memory: 6108 grad_norm: 5.6202 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7960 loss: 2.7960 2022/07/22 15:43:34 - mmengine - INFO - Epoch(train) [7][2520/3757] lr: 1.0000e-02 eta: 22:59:03 time: 0.2387 data_time: 0.0204 memory: 6108 grad_norm: 5.6384 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6268 loss: 2.6268 2022/07/22 15:43:39 - mmengine - INFO - Epoch(train) [7][2540/3757] lr: 1.0000e-02 eta: 22:58:57 time: 0.2284 data_time: 0.0186 memory: 6108 grad_norm: 5.5707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6072 loss: 2.6072 2022/07/22 15:43:44 - mmengine - INFO - Epoch(train) [7][2560/3757] lr: 1.0000e-02 eta: 22:58:55 time: 0.2462 data_time: 0.0284 memory: 6108 grad_norm: 5.6585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7675 loss: 2.7675 2022/07/22 15:43:48 - mmengine - INFO - Epoch(train) [7][2580/3757] lr: 1.0000e-02 eta: 22:58:48 time: 0.2283 data_time: 0.0184 memory: 6108 grad_norm: 5.7550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8019 loss: 2.8019 2022/07/22 15:43:53 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 1.0000e-02 eta: 22:58:39 time: 0.2218 data_time: 0.0207 memory: 6108 grad_norm: 5.6462 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6782 loss: 2.6782 2022/07/22 15:43:57 - mmengine - INFO - Epoch(train) [7][2620/3757] lr: 1.0000e-02 eta: 22:58:31 time: 0.2248 data_time: 0.0209 memory: 6108 grad_norm: 5.6213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4849 loss: 2.4849 2022/07/22 15:44:02 - mmengine - INFO - Epoch(train) [7][2640/3757] lr: 1.0000e-02 eta: 22:58:29 time: 0.2435 data_time: 0.0187 memory: 6108 grad_norm: 5.6874 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8123 loss: 2.8123 2022/07/22 15:44:07 - mmengine - INFO - Epoch(train) [7][2660/3757] lr: 1.0000e-02 eta: 22:58:21 time: 0.2250 data_time: 0.0174 memory: 6108 grad_norm: 5.5304 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4786 loss: 2.4786 2022/07/22 15:44:11 - mmengine - INFO - Epoch(train) [7][2680/3757] lr: 1.0000e-02 eta: 22:58:13 time: 0.2232 data_time: 0.0213 memory: 6108 grad_norm: 5.6087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7741 loss: 2.7741 2022/07/22 15:44:16 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 1.0000e-02 eta: 22:58:06 time: 0.2284 data_time: 0.0230 memory: 6108 grad_norm: 5.5887 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5827 loss: 2.5827 2022/07/22 15:44:20 - mmengine - INFO - Epoch(train) [7][2720/3757] lr: 1.0000e-02 eta: 22:57:59 time: 0.2262 data_time: 0.0175 memory: 6108 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3649 loss: 2.3649 2022/07/22 15:44:25 - mmengine - INFO - Epoch(train) [7][2740/3757] lr: 1.0000e-02 eta: 22:57:52 time: 0.2295 data_time: 0.0212 memory: 6108 grad_norm: 5.5937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8407 loss: 2.8407 2022/07/22 15:44:30 - mmengine - INFO - Epoch(train) [7][2760/3757] lr: 1.0000e-02 eta: 22:57:50 time: 0.2449 data_time: 0.0177 memory: 6108 grad_norm: 5.4969 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3283 loss: 2.3283 2022/07/22 15:44:34 - mmengine - INFO - Epoch(train) [7][2780/3757] lr: 1.0000e-02 eta: 22:57:42 time: 0.2232 data_time: 0.0210 memory: 6108 grad_norm: 5.5882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5090 loss: 2.5090 2022/07/22 15:44:39 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 1.0000e-02 eta: 22:57:41 time: 0.2501 data_time: 0.0232 memory: 6108 grad_norm: 5.3674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6081 loss: 2.6081 2022/07/22 15:44:44 - mmengine - INFO - Epoch(train) [7][2820/3757] lr: 1.0000e-02 eta: 22:57:36 time: 0.2366 data_time: 0.0189 memory: 6108 grad_norm: 5.4111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2156 loss: 2.2156 2022/07/22 15:44:48 - mmengine - INFO - Epoch(train) [7][2840/3757] lr: 1.0000e-02 eta: 22:57:28 time: 0.2216 data_time: 0.0189 memory: 6108 grad_norm: 5.6061 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3117 loss: 2.3117 2022/07/22 15:44:53 - mmengine - INFO - Epoch(train) [7][2860/3757] lr: 1.0000e-02 eta: 22:57:19 time: 0.2203 data_time: 0.0210 memory: 6108 grad_norm: 5.6884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3114 loss: 2.3114 2022/07/22 15:44:58 - mmengine - INFO - Epoch(train) [7][2880/3757] lr: 1.0000e-02 eta: 22:57:18 time: 0.2493 data_time: 0.0207 memory: 6108 grad_norm: 5.8553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6278 loss: 2.6278 2022/07/22 15:45:02 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 1.0000e-02 eta: 22:57:09 time: 0.2221 data_time: 0.0220 memory: 6108 grad_norm: 5.5321 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8479 loss: 2.8479 2022/07/22 15:45:08 - mmengine - INFO - Epoch(train) [7][2920/3757] lr: 1.0000e-02 eta: 22:57:17 time: 0.2823 data_time: 0.0887 memory: 6108 grad_norm: 5.5161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3763 loss: 2.3763 2022/07/22 15:45:12 - mmengine - INFO - Epoch(train) [7][2940/3757] lr: 1.0000e-02 eta: 22:57:08 time: 0.2199 data_time: 0.0211 memory: 6108 grad_norm: 5.4458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3001 loss: 2.3001 2022/07/22 15:45:17 - mmengine - INFO - Epoch(train) [7][2960/3757] lr: 1.0000e-02 eta: 22:57:06 time: 0.2444 data_time: 0.0336 memory: 6108 grad_norm: 5.7687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5929 loss: 2.5929 2022/07/22 15:45:22 - mmengine - INFO - Epoch(train) [7][2980/3757] lr: 1.0000e-02 eta: 22:57:00 time: 0.2321 data_time: 0.0192 memory: 6108 grad_norm: 5.5698 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5717 loss: 2.5717 2022/07/22 15:45:26 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 1.0000e-02 eta: 22:56:55 time: 0.2345 data_time: 0.0194 memory: 6108 grad_norm: 5.6026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7547 loss: 2.7547 2022/07/22 15:45:31 - mmengine - INFO - Epoch(train) [7][3020/3757] lr: 1.0000e-02 eta: 22:56:49 time: 0.2318 data_time: 0.0253 memory: 6108 grad_norm: 5.5350 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4580 loss: 2.4580 2022/07/22 15:45:36 - mmengine - INFO - Epoch(train) [7][3040/3757] lr: 1.0000e-02 eta: 22:56:53 time: 0.2674 data_time: 0.0173 memory: 6108 grad_norm: 5.6523 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5516 loss: 2.5516 2022/07/22 15:45:41 - mmengine - INFO - Epoch(train) [7][3060/3757] lr: 1.0000e-02 eta: 22:56:44 time: 0.2202 data_time: 0.0245 memory: 6108 grad_norm: 5.7534 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5802 loss: 2.5802 2022/07/22 15:45:45 - mmengine - INFO - Epoch(train) [7][3080/3757] lr: 1.0000e-02 eta: 22:56:34 time: 0.2178 data_time: 0.0201 memory: 6108 grad_norm: 5.8977 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5948 loss: 2.5948 2022/07/22 15:45:50 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 1.0000e-02 eta: 22:56:31 time: 0.2417 data_time: 0.0359 memory: 6108 grad_norm: 5.7133 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8552 loss: 2.8552 2022/07/22 15:45:55 - mmengine - INFO - Epoch(train) [7][3120/3757] lr: 1.0000e-02 eta: 22:56:28 time: 0.2447 data_time: 0.0234 memory: 6108 grad_norm: 5.5164 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7350 loss: 2.7350 2022/07/22 15:46:00 - mmengine - INFO - Epoch(train) [7][3140/3757] lr: 1.0000e-02 eta: 22:56:26 time: 0.2456 data_time: 0.0222 memory: 6108 grad_norm: 5.6338 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7347 loss: 2.7347 2022/07/22 15:46:04 - mmengine - INFO - Epoch(train) [7][3160/3757] lr: 1.0000e-02 eta: 22:56:20 time: 0.2292 data_time: 0.0216 memory: 6108 grad_norm: 5.7115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4391 loss: 2.4391 2022/07/22 15:46:09 - mmengine - INFO - Epoch(train) [7][3180/3757] lr: 1.0000e-02 eta: 22:56:12 time: 0.2232 data_time: 0.0223 memory: 6108 grad_norm: 5.8593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3047 loss: 2.3047 2022/07/22 15:46:13 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 1.0000e-02 eta: 22:56:04 time: 0.2266 data_time: 0.0206 memory: 6108 grad_norm: 5.5517 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5089 loss: 2.5089 2022/07/22 15:46:18 - mmengine - INFO - Epoch(train) [7][3220/3757] lr: 1.0000e-02 eta: 22:55:56 time: 0.2227 data_time: 0.0198 memory: 6108 grad_norm: 5.5467 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5486 loss: 2.5486 2022/07/22 15:46:22 - mmengine - INFO - Epoch(train) [7][3240/3757] lr: 1.0000e-02 eta: 22:55:48 time: 0.2234 data_time: 0.0273 memory: 6108 grad_norm: 5.6081 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8851 loss: 2.8851 2022/07/22 15:46:28 - mmengine - INFO - Epoch(train) [7][3260/3757] lr: 1.0000e-02 eta: 22:55:59 time: 0.2927 data_time: 0.0683 memory: 6108 grad_norm: 5.5887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7067 loss: 2.7067 2022/07/22 15:46:33 - mmengine - INFO - Epoch(train) [7][3280/3757] lr: 1.0000e-02 eta: 22:55:56 time: 0.2435 data_time: 0.0230 memory: 6108 grad_norm: 5.3993 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3627 loss: 2.3627 2022/07/22 15:46:38 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 1.0000e-02 eta: 22:55:51 time: 0.2353 data_time: 0.0199 memory: 6108 grad_norm: 5.5157 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4842 loss: 2.4842 2022/07/22 15:46:42 - mmengine - INFO - Epoch(train) [7][3320/3757] lr: 1.0000e-02 eta: 22:55:42 time: 0.2205 data_time: 0.0231 memory: 6108 grad_norm: 5.7428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6578 loss: 2.6578 2022/07/22 15:46:47 - mmengine - INFO - Epoch(train) [7][3340/3757] lr: 1.0000e-02 eta: 22:55:41 time: 0.2497 data_time: 0.0194 memory: 6108 grad_norm: 5.6322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6615 loss: 2.6615 2022/07/22 15:46:52 - mmengine - INFO - Epoch(train) [7][3360/3757] lr: 1.0000e-02 eta: 22:55:33 time: 0.2225 data_time: 0.0189 memory: 6108 grad_norm: 5.6464 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3919 loss: 2.3919 2022/07/22 15:46:56 - mmengine - INFO - Epoch(train) [7][3380/3757] lr: 1.0000e-02 eta: 22:55:26 time: 0.2283 data_time: 0.0188 memory: 6108 grad_norm: 5.6492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4220 loss: 2.4220 2022/07/22 15:47:01 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 1.0000e-02 eta: 22:55:18 time: 0.2225 data_time: 0.0261 memory: 6108 grad_norm: 5.8484 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6588 loss: 2.6588 2022/07/22 15:47:06 - mmengine - INFO - Epoch(train) [7][3420/3757] lr: 1.0000e-02 eta: 22:55:18 time: 0.2555 data_time: 0.0240 memory: 6108 grad_norm: 5.8224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7253 loss: 2.7253 2022/07/22 15:47:10 - mmengine - INFO - Epoch(train) [7][3440/3757] lr: 1.0000e-02 eta: 22:55:12 time: 0.2295 data_time: 0.0252 memory: 6108 grad_norm: 5.6064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7554 loss: 2.7554 2022/07/22 15:47:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:47:15 - mmengine - INFO - Epoch(train) [7][3460/3757] lr: 1.0000e-02 eta: 22:55:04 time: 0.2241 data_time: 0.0197 memory: 6108 grad_norm: 5.6828 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4957 loss: 2.4957 2022/07/22 15:47:19 - mmengine - INFO - Epoch(train) [7][3480/3757] lr: 1.0000e-02 eta: 22:54:57 time: 0.2266 data_time: 0.0195 memory: 6108 grad_norm: 5.5729 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8349 loss: 2.8349 2022/07/22 15:47:24 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 1.0000e-02 eta: 22:54:49 time: 0.2237 data_time: 0.0178 memory: 6108 grad_norm: 5.6027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4644 loss: 2.4644 2022/07/22 15:47:28 - mmengine - INFO - Epoch(train) [7][3520/3757] lr: 1.0000e-02 eta: 22:54:43 time: 0.2312 data_time: 0.0257 memory: 6108 grad_norm: 5.6380 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5785 loss: 2.5785 2022/07/22 15:47:33 - mmengine - INFO - Epoch(train) [7][3540/3757] lr: 1.0000e-02 eta: 22:54:43 time: 0.2530 data_time: 0.0235 memory: 6108 grad_norm: 5.8739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6003 loss: 2.6003 2022/07/22 15:47:38 - mmengine - INFO - Epoch(train) [7][3560/3757] lr: 1.0000e-02 eta: 22:54:33 time: 0.2171 data_time: 0.0212 memory: 6108 grad_norm: 5.6007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5364 loss: 2.5364 2022/07/22 15:47:43 - mmengine - INFO - Epoch(train) [7][3580/3757] lr: 1.0000e-02 eta: 22:54:39 time: 0.2750 data_time: 0.0207 memory: 6108 grad_norm: 5.5848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4225 loss: 2.4225 2022/07/22 15:47:48 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 1.0000e-02 eta: 22:54:31 time: 0.2265 data_time: 0.0200 memory: 6108 grad_norm: 5.6622 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7801 loss: 2.7801 2022/07/22 15:47:53 - mmengine - INFO - Epoch(train) [7][3620/3757] lr: 1.0000e-02 eta: 22:54:26 time: 0.2356 data_time: 0.0232 memory: 6108 grad_norm: 5.6522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4896 loss: 2.4896 2022/07/22 15:47:57 - mmengine - INFO - Epoch(train) [7][3640/3757] lr: 1.0000e-02 eta: 22:54:17 time: 0.2175 data_time: 0.0201 memory: 6108 grad_norm: 5.7813 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5592 loss: 2.5592 2022/07/22 15:48:02 - mmengine - INFO - Epoch(train) [7][3660/3757] lr: 1.0000e-02 eta: 22:54:10 time: 0.2295 data_time: 0.0178 memory: 6108 grad_norm: 5.7250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4796 loss: 2.4796 2022/07/22 15:48:06 - mmengine - INFO - Epoch(train) [7][3680/3757] lr: 1.0000e-02 eta: 22:54:06 time: 0.2387 data_time: 0.0208 memory: 6108 grad_norm: 5.5186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6678 loss: 2.6678 2022/07/22 15:48:11 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 1.0000e-02 eta: 22:54:03 time: 0.2402 data_time: 0.0186 memory: 6108 grad_norm: 5.5655 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5692 loss: 2.5692 2022/07/22 15:48:16 - mmengine - INFO - Epoch(train) [7][3720/3757] lr: 1.0000e-02 eta: 22:53:57 time: 0.2328 data_time: 0.0226 memory: 6108 grad_norm: 5.6746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5603 loss: 2.5603 2022/07/22 15:48:21 - mmengine - INFO - Epoch(train) [7][3740/3757] lr: 1.0000e-02 eta: 22:53:53 time: 0.2374 data_time: 0.0296 memory: 6108 grad_norm: 5.6198 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6844 loss: 2.6844 2022/07/22 15:48:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:48:24 - mmengine - INFO - Epoch(train) [7][3757/3757] lr: 1.0000e-02 eta: 22:53:53 time: 0.1936 data_time: 0.0152 memory: 6108 grad_norm: 5.4819 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.9763 loss: 2.9763 2022/07/22 15:48:29 - mmengine - INFO - Epoch(val) [7][20/310] eta: 0:01:19 time: 0.2731 data_time: 0.1867 memory: 1428 2022/07/22 15:48:33 - mmengine - INFO - Epoch(val) [7][40/310] eta: 0:00:51 time: 0.1895 data_time: 0.1123 memory: 1428 2022/07/22 15:48:37 - mmengine - INFO - Epoch(val) [7][60/310] eta: 0:00:53 time: 0.2152 data_time: 0.1414 memory: 1428 2022/07/22 15:48:41 - mmengine - INFO - Epoch(val) [7][80/310] eta: 0:00:44 time: 0.1916 data_time: 0.1198 memory: 1428 2022/07/22 15:48:46 - mmengine - INFO - Epoch(val) [7][100/310] eta: 0:00:46 time: 0.2204 data_time: 0.1433 memory: 1428 2022/07/22 15:48:49 - mmengine - INFO - Epoch(val) [7][120/310] eta: 0:00:35 time: 0.1892 data_time: 0.1105 memory: 1428 2022/07/22 15:48:54 - mmengine - INFO - Epoch(val) [7][140/310] eta: 0:00:41 time: 0.2430 data_time: 0.1692 memory: 1428 2022/07/22 15:48:58 - mmengine - INFO - Epoch(val) [7][160/310] eta: 0:00:27 time: 0.1851 data_time: 0.1061 memory: 1428 2022/07/22 15:49:03 - mmengine - INFO - Epoch(val) [7][180/310] eta: 0:00:32 time: 0.2503 data_time: 0.1764 memory: 1428 2022/07/22 15:49:07 - mmengine - INFO - Epoch(val) [7][200/310] eta: 0:00:19 time: 0.1804 data_time: 0.1080 memory: 1428 2022/07/22 15:49:11 - mmengine - INFO - Epoch(val) [7][220/310] eta: 0:00:22 time: 0.2466 data_time: 0.1718 memory: 1428 2022/07/22 15:49:15 - mmengine - INFO - Epoch(val) [7][240/310] eta: 0:00:13 time: 0.1858 data_time: 0.1107 memory: 1428 2022/07/22 15:49:20 - mmengine - INFO - Epoch(val) [7][260/310] eta: 0:00:12 time: 0.2559 data_time: 0.1750 memory: 1428 2022/07/22 15:49:24 - mmengine - INFO - Epoch(val) [7][280/310] eta: 0:00:05 time: 0.1931 data_time: 0.1143 memory: 1428 2022/07/22 15:49:29 - mmengine - INFO - Epoch(val) [7][300/310] eta: 0:00:02 time: 0.2292 data_time: 0.1564 memory: 1428 2022/07/22 15:49:33 - mmengine - INFO - Epoch(val) [7][310/310] acc/top1: 0.4772 acc/top5: 0.7383 acc/mean1: 0.4771 2022/07/22 15:49:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/07/22 15:49:35 - mmengine - INFO - The best checkpoint with 0.4772 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/07/22 15:49:42 - mmengine - INFO - Epoch(train) [8][20/3757] lr: 1.0000e-02 eta: 22:53:24 time: 0.3584 data_time: 0.1767 memory: 6108 grad_norm: 5.6279 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7594 loss: 2.7594 2022/07/22 15:49:47 - mmengine - INFO - Epoch(train) [8][40/3757] lr: 1.0000e-02 eta: 22:53:12 time: 0.2117 data_time: 0.0136 memory: 6108 grad_norm: 5.7505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4297 loss: 2.4297 2022/07/22 15:49:51 - mmengine - INFO - Epoch(train) [8][60/3757] lr: 1.0000e-02 eta: 22:53:08 time: 0.2355 data_time: 0.0254 memory: 6108 grad_norm: 5.5441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3542 loss: 2.3542 2022/07/22 15:49:56 - mmengine - INFO - Epoch(train) [8][80/3757] lr: 1.0000e-02 eta: 22:52:58 time: 0.2177 data_time: 0.0210 memory: 6108 grad_norm: 5.6374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2783 loss: 2.2783 2022/07/22 15:50:00 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 1.0000e-02 eta: 22:52:51 time: 0.2259 data_time: 0.0234 memory: 6108 grad_norm: 5.5601 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2951 loss: 2.2951 2022/07/22 15:50:05 - mmengine - INFO - Epoch(train) [8][120/3757] lr: 1.0000e-02 eta: 22:52:49 time: 0.2466 data_time: 0.0231 memory: 6108 grad_norm: 5.7251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3845 loss: 2.3845 2022/07/22 15:50:10 - mmengine - INFO - Epoch(train) [8][140/3757] lr: 1.0000e-02 eta: 22:52:49 time: 0.2522 data_time: 0.0185 memory: 6108 grad_norm: 5.6128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5929 loss: 2.5929 2022/07/22 15:50:15 - mmengine - INFO - Epoch(train) [8][160/3757] lr: 1.0000e-02 eta: 22:52:45 time: 0.2407 data_time: 0.0200 memory: 6108 grad_norm: 5.7447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5019 loss: 2.5019 2022/07/22 15:50:20 - mmengine - INFO - Epoch(train) [8][180/3757] lr: 1.0000e-02 eta: 22:52:41 time: 0.2390 data_time: 0.0216 memory: 6108 grad_norm: 5.6222 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4805 loss: 2.4805 2022/07/22 15:50:24 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 1.0000e-02 eta: 22:52:35 time: 0.2286 data_time: 0.0242 memory: 6108 grad_norm: 5.6860 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5846 loss: 2.5846 2022/07/22 15:50:29 - mmengine - INFO - Epoch(train) [8][220/3757] lr: 1.0000e-02 eta: 22:52:29 time: 0.2338 data_time: 0.0251 memory: 6108 grad_norm: 5.6147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3164 loss: 2.3164 2022/07/22 15:50:33 - mmengine - INFO - Epoch(train) [8][240/3757] lr: 1.0000e-02 eta: 22:52:21 time: 0.2216 data_time: 0.0220 memory: 6108 grad_norm: 5.5928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2362 loss: 2.2362 2022/07/22 15:50:38 - mmengine - INFO - Epoch(train) [8][260/3757] lr: 1.0000e-02 eta: 22:52:13 time: 0.2240 data_time: 0.0205 memory: 6108 grad_norm: 5.5637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2987 loss: 2.2987 2022/07/22 15:50:43 - mmengine - INFO - Epoch(train) [8][280/3757] lr: 1.0000e-02 eta: 22:52:16 time: 0.2643 data_time: 0.0248 memory: 6108 grad_norm: 5.6367 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5744 loss: 2.5744 2022/07/22 15:50:48 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 1.0000e-02 eta: 22:52:09 time: 0.2273 data_time: 0.0235 memory: 6108 grad_norm: 5.4916 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4349 loss: 2.4349 2022/07/22 15:50:52 - mmengine - INFO - Epoch(train) [8][320/3757] lr: 1.0000e-02 eta: 22:52:00 time: 0.2196 data_time: 0.0176 memory: 6108 grad_norm: 5.7051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5712 loss: 2.5712 2022/07/22 15:50:57 - mmengine - INFO - Epoch(train) [8][340/3757] lr: 1.0000e-02 eta: 22:51:53 time: 0.2282 data_time: 0.0319 memory: 6108 grad_norm: 5.7456 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7772 loss: 2.7772 2022/07/22 15:51:01 - mmengine - INFO - Epoch(train) [8][360/3757] lr: 1.0000e-02 eta: 22:51:48 time: 0.2352 data_time: 0.0198 memory: 6108 grad_norm: 5.5714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4828 loss: 2.4828 2022/07/22 15:51:06 - mmengine - INFO - Epoch(train) [8][380/3757] lr: 1.0000e-02 eta: 22:51:40 time: 0.2239 data_time: 0.0247 memory: 6108 grad_norm: 5.4029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3609 loss: 2.3609 2022/07/22 15:51:11 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 1.0000e-02 eta: 22:51:38 time: 0.2436 data_time: 0.0177 memory: 6108 grad_norm: 5.6046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5604 loss: 2.5604 2022/07/22 15:51:15 - mmengine - INFO - Epoch(train) [8][420/3757] lr: 1.0000e-02 eta: 22:51:31 time: 0.2281 data_time: 0.0255 memory: 6108 grad_norm: 5.7788 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5080 loss: 2.5080 2022/07/22 15:51:20 - mmengine - INFO - Epoch(train) [8][440/3757] lr: 1.0000e-02 eta: 22:51:25 time: 0.2327 data_time: 0.0193 memory: 6108 grad_norm: 5.5233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2768 loss: 2.2768 2022/07/22 15:51:25 - mmengine - INFO - Epoch(train) [8][460/3757] lr: 1.0000e-02 eta: 22:51:19 time: 0.2301 data_time: 0.0202 memory: 6108 grad_norm: 5.5995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5961 loss: 2.5961 2022/07/22 15:51:30 - mmengine - INFO - Epoch(train) [8][480/3757] lr: 1.0000e-02 eta: 22:51:19 time: 0.2543 data_time: 0.0208 memory: 6108 grad_norm: 5.6594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6110 loss: 2.6110 2022/07/22 15:51:34 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 1.0000e-02 eta: 22:51:12 time: 0.2263 data_time: 0.0255 memory: 6108 grad_norm: 5.7711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7710 loss: 2.7710 2022/07/22 15:51:39 - mmengine - INFO - Epoch(train) [8][520/3757] lr: 1.0000e-02 eta: 22:51:05 time: 0.2247 data_time: 0.0220 memory: 6108 grad_norm: 5.6364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7583 loss: 2.7583 2022/07/22 15:51:43 - mmengine - INFO - Epoch(train) [8][540/3757] lr: 1.0000e-02 eta: 22:50:56 time: 0.2206 data_time: 0.0223 memory: 6108 grad_norm: 5.4795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4726 loss: 2.4726 2022/07/22 15:51:48 - mmengine - INFO - Epoch(train) [8][560/3757] lr: 1.0000e-02 eta: 22:50:51 time: 0.2369 data_time: 0.0209 memory: 6108 grad_norm: 5.7395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3659 loss: 2.3659 2022/07/22 15:51:52 - mmengine - INFO - Epoch(train) [8][580/3757] lr: 1.0000e-02 eta: 22:50:44 time: 0.2248 data_time: 0.0232 memory: 6108 grad_norm: 5.7442 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6160 loss: 2.6160 2022/07/22 15:51:57 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 1.0000e-02 eta: 22:50:40 time: 0.2377 data_time: 0.0205 memory: 6108 grad_norm: 5.7452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2728 loss: 2.2728 2022/07/22 15:52:02 - mmengine - INFO - Epoch(train) [8][620/3757] lr: 1.0000e-02 eta: 22:50:35 time: 0.2372 data_time: 0.0228 memory: 6108 grad_norm: 5.5528 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3246 loss: 2.3246 2022/07/22 15:52:07 - mmengine - INFO - Epoch(train) [8][640/3757] lr: 1.0000e-02 eta: 22:50:33 time: 0.2460 data_time: 0.0177 memory: 6108 grad_norm: 5.5141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2211 loss: 2.2211 2022/07/22 15:52:11 - mmengine - INFO - Epoch(train) [8][660/3757] lr: 1.0000e-02 eta: 22:50:27 time: 0.2288 data_time: 0.0249 memory: 6108 grad_norm: 5.5578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8141 loss: 2.8141 2022/07/22 15:52:16 - mmengine - INFO - Epoch(train) [8][680/3757] lr: 1.0000e-02 eta: 22:50:21 time: 0.2335 data_time: 0.0205 memory: 6108 grad_norm: 5.5411 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7059 loss: 2.7059 2022/07/22 15:52:21 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 1.0000e-02 eta: 22:50:14 time: 0.2260 data_time: 0.0277 memory: 6108 grad_norm: 5.5730 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5785 loss: 2.5785 2022/07/22 15:52:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:52:25 - mmengine - INFO - Epoch(train) [8][720/3757] lr: 1.0000e-02 eta: 22:50:11 time: 0.2417 data_time: 0.0246 memory: 6108 grad_norm: 5.6390 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6805 loss: 2.6805 2022/07/22 15:52:30 - mmengine - INFO - Epoch(train) [8][740/3757] lr: 1.0000e-02 eta: 22:50:07 time: 0.2394 data_time: 0.0232 memory: 6108 grad_norm: 5.3624 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5602 loss: 2.5602 2022/07/22 15:52:35 - mmengine - INFO - Epoch(train) [8][760/3757] lr: 1.0000e-02 eta: 22:50:02 time: 0.2329 data_time: 0.0216 memory: 6108 grad_norm: 5.5580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2879 loss: 2.2879 2022/07/22 15:52:39 - mmengine - INFO - Epoch(train) [8][780/3757] lr: 1.0000e-02 eta: 22:49:55 time: 0.2268 data_time: 0.0204 memory: 6108 grad_norm: 5.8229 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5719 loss: 2.5719 2022/07/22 15:52:44 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 1.0000e-02 eta: 22:49:49 time: 0.2325 data_time: 0.0267 memory: 6108 grad_norm: 5.6242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5131 loss: 2.5131 2022/07/22 15:52:49 - mmengine - INFO - Epoch(train) [8][820/3757] lr: 1.0000e-02 eta: 22:49:44 time: 0.2333 data_time: 0.0203 memory: 6108 grad_norm: 5.7080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2924 loss: 2.2924 2022/07/22 15:52:53 - mmengine - INFO - Epoch(train) [8][840/3757] lr: 1.0000e-02 eta: 22:49:38 time: 0.2304 data_time: 0.0255 memory: 6108 grad_norm: 5.5441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6325 loss: 2.6325 2022/07/22 15:52:58 - mmengine - INFO - Epoch(train) [8][860/3757] lr: 1.0000e-02 eta: 22:49:30 time: 0.2253 data_time: 0.0231 memory: 6108 grad_norm: 5.5965 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9374 loss: 2.9374 2022/07/22 15:53:02 - mmengine - INFO - Epoch(train) [8][880/3757] lr: 1.0000e-02 eta: 22:49:24 time: 0.2296 data_time: 0.0253 memory: 6108 grad_norm: 5.6220 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4676 loss: 2.4676 2022/07/22 15:53:07 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 1.0000e-02 eta: 22:49:19 time: 0.2329 data_time: 0.0220 memory: 6108 grad_norm: 5.6690 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5456 loss: 2.5456 2022/07/22 15:53:12 - mmengine - INFO - Epoch(train) [8][920/3757] lr: 1.0000e-02 eta: 22:49:18 time: 0.2506 data_time: 0.0188 memory: 6108 grad_norm: 5.5577 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4042 loss: 2.4042 2022/07/22 15:53:17 - mmengine - INFO - Epoch(train) [8][940/3757] lr: 1.0000e-02 eta: 22:49:10 time: 0.2233 data_time: 0.0195 memory: 6108 grad_norm: 5.7008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.6993 loss: 2.6993 2022/07/22 15:53:21 - mmengine - INFO - Epoch(train) [8][960/3757] lr: 1.0000e-02 eta: 22:49:06 time: 0.2392 data_time: 0.0205 memory: 6108 grad_norm: 5.6104 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3928 loss: 2.3928 2022/07/22 15:53:26 - mmengine - INFO - Epoch(train) [8][980/3757] lr: 1.0000e-02 eta: 22:49:00 time: 0.2308 data_time: 0.0179 memory: 6108 grad_norm: 5.5894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7695 loss: 2.7695 2022/07/22 15:53:31 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 1.0000e-02 eta: 22:49:01 time: 0.2564 data_time: 0.0219 memory: 6108 grad_norm: 5.7350 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4832 loss: 2.4832 2022/07/22 15:53:36 - mmengine - INFO - Epoch(train) [8][1020/3757] lr: 1.0000e-02 eta: 22:48:53 time: 0.2259 data_time: 0.0224 memory: 6108 grad_norm: 5.6158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6515 loss: 2.6515 2022/07/22 15:53:40 - mmengine - INFO - Epoch(train) [8][1040/3757] lr: 1.0000e-02 eta: 22:48:48 time: 0.2350 data_time: 0.0224 memory: 6108 grad_norm: 5.5427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4416 loss: 2.4416 2022/07/22 15:53:45 - mmengine - INFO - Epoch(train) [8][1060/3757] lr: 1.0000e-02 eta: 22:48:45 time: 0.2409 data_time: 0.0240 memory: 6108 grad_norm: 5.4664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1971 loss: 2.1971 2022/07/22 15:53:50 - mmengine - INFO - Epoch(train) [8][1080/3757] lr: 1.0000e-02 eta: 22:48:37 time: 0.2241 data_time: 0.0220 memory: 6108 grad_norm: 5.5316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1748 loss: 2.1748 2022/07/22 15:53:55 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 1.0000e-02 eta: 22:48:38 time: 0.2583 data_time: 0.0167 memory: 6108 grad_norm: 5.5073 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5585 loss: 2.5585 2022/07/22 15:53:59 - mmengine - INFO - Epoch(train) [8][1120/3757] lr: 1.0000e-02 eta: 22:48:31 time: 0.2261 data_time: 0.0245 memory: 6108 grad_norm: 5.5755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5678 loss: 2.5678 2022/07/22 15:54:04 - mmengine - INFO - Epoch(train) [8][1140/3757] lr: 1.0000e-02 eta: 22:48:24 time: 0.2253 data_time: 0.0255 memory: 6108 grad_norm: 5.4200 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7089 loss: 2.7089 2022/07/22 15:54:09 - mmengine - INFO - Epoch(train) [8][1160/3757] lr: 1.0000e-02 eta: 22:48:23 time: 0.2516 data_time: 0.0267 memory: 6108 grad_norm: 5.4956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7795 loss: 2.7795 2022/07/22 15:54:13 - mmengine - INFO - Epoch(train) [8][1180/3757] lr: 1.0000e-02 eta: 22:48:15 time: 0.2209 data_time: 0.0269 memory: 6108 grad_norm: 5.5274 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4459 loss: 2.4459 2022/07/22 15:54:18 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 1.0000e-02 eta: 22:48:11 time: 0.2420 data_time: 0.0228 memory: 6108 grad_norm: 5.8844 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3803 loss: 2.3803 2022/07/22 15:54:23 - mmengine - INFO - Epoch(train) [8][1220/3757] lr: 1.0000e-02 eta: 22:48:09 time: 0.2444 data_time: 0.0224 memory: 6108 grad_norm: 5.8347 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6260 loss: 2.6260 2022/07/22 15:54:28 - mmengine - INFO - Epoch(train) [8][1240/3757] lr: 1.0000e-02 eta: 22:48:02 time: 0.2275 data_time: 0.0193 memory: 6108 grad_norm: 5.6498 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6218 loss: 2.6218 2022/07/22 15:54:32 - mmengine - INFO - Epoch(train) [8][1260/3757] lr: 1.0000e-02 eta: 22:47:54 time: 0.2243 data_time: 0.0193 memory: 6108 grad_norm: 5.5280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4320 loss: 2.4320 2022/07/22 15:54:36 - mmengine - INFO - Epoch(train) [8][1280/3757] lr: 1.0000e-02 eta: 22:47:46 time: 0.2196 data_time: 0.0213 memory: 6108 grad_norm: 5.6488 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7863 loss: 2.7863 2022/07/22 15:54:41 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 1.0000e-02 eta: 22:47:41 time: 0.2368 data_time: 0.0177 memory: 6108 grad_norm: 5.5930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4751 loss: 2.4751 2022/07/22 15:54:46 - mmengine - INFO - Epoch(train) [8][1320/3757] lr: 1.0000e-02 eta: 22:47:35 time: 0.2307 data_time: 0.0211 memory: 6108 grad_norm: 5.6788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0378 loss: 2.0378 2022/07/22 15:54:51 - mmengine - INFO - Epoch(train) [8][1340/3757] lr: 1.0000e-02 eta: 22:47:35 time: 0.2543 data_time: 0.0155 memory: 6108 grad_norm: 5.5081 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6101 loss: 2.6101 2022/07/22 15:54:56 - mmengine - INFO - Epoch(train) [8][1360/3757] lr: 1.0000e-02 eta: 22:47:32 time: 0.2410 data_time: 0.0183 memory: 6108 grad_norm: 5.7105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4615 loss: 2.4615 2022/07/22 15:55:00 - mmengine - INFO - Epoch(train) [8][1380/3757] lr: 1.0000e-02 eta: 22:47:23 time: 0.2197 data_time: 0.0193 memory: 6108 grad_norm: 5.5918 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6101 loss: 2.6101 2022/07/22 15:55:05 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 1.0000e-02 eta: 22:47:19 time: 0.2374 data_time: 0.0205 memory: 6108 grad_norm: 5.4725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3769 loss: 2.3769 2022/07/22 15:55:09 - mmengine - INFO - Epoch(train) [8][1420/3757] lr: 1.0000e-02 eta: 22:47:12 time: 0.2279 data_time: 0.0189 memory: 6108 grad_norm: 5.5164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4719 loss: 2.4719 2022/07/22 15:55:15 - mmengine - INFO - Epoch(train) [8][1440/3757] lr: 1.0000e-02 eta: 22:47:13 time: 0.2585 data_time: 0.0214 memory: 6108 grad_norm: 5.5917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3186 loss: 2.3186 2022/07/22 15:55:19 - mmengine - INFO - Epoch(train) [8][1460/3757] lr: 1.0000e-02 eta: 22:47:09 time: 0.2364 data_time: 0.0195 memory: 6108 grad_norm: 5.4969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1878 loss: 2.1878 2022/07/22 15:55:24 - mmengine - INFO - Epoch(train) [8][1480/3757] lr: 1.0000e-02 eta: 22:47:01 time: 0.2228 data_time: 0.0248 memory: 6108 grad_norm: 5.6450 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4320 loss: 2.4320 2022/07/22 15:55:29 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 1.0000e-02 eta: 22:46:59 time: 0.2494 data_time: 0.0387 memory: 6108 grad_norm: 5.5725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7909 loss: 2.7909 2022/07/22 15:55:33 - mmengine - INFO - Epoch(train) [8][1520/3757] lr: 1.0000e-02 eta: 22:46:51 time: 0.2203 data_time: 0.0169 memory: 6108 grad_norm: 5.5922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3518 loss: 2.3518 2022/07/22 15:55:38 - mmengine - INFO - Epoch(train) [8][1540/3757] lr: 1.0000e-02 eta: 22:46:46 time: 0.2355 data_time: 0.0238 memory: 6108 grad_norm: 5.5174 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3543 loss: 2.3543 2022/07/22 15:55:42 - mmengine - INFO - Epoch(train) [8][1560/3757] lr: 1.0000e-02 eta: 22:46:39 time: 0.2251 data_time: 0.0242 memory: 6108 grad_norm: 5.5247 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5134 loss: 2.5134 2022/07/22 15:55:47 - mmengine - INFO - Epoch(train) [8][1580/3757] lr: 1.0000e-02 eta: 22:46:30 time: 0.2194 data_time: 0.0212 memory: 6108 grad_norm: 5.5710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5649 loss: 2.5649 2022/07/22 15:55:52 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 1.0000e-02 eta: 22:46:25 time: 0.2366 data_time: 0.0327 memory: 6108 grad_norm: 5.5337 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4374 loss: 2.4374 2022/07/22 15:55:56 - mmengine - INFO - Epoch(train) [8][1620/3757] lr: 1.0000e-02 eta: 22:46:19 time: 0.2315 data_time: 0.0197 memory: 6108 grad_norm: 5.6341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6702 loss: 2.6702 2022/07/22 15:56:01 - mmengine - INFO - Epoch(train) [8][1640/3757] lr: 1.0000e-02 eta: 22:46:19 time: 0.2541 data_time: 0.0220 memory: 6108 grad_norm: 5.6722 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5622 loss: 2.5622 2022/07/22 15:56:06 - mmengine - INFO - Epoch(train) [8][1660/3757] lr: 1.0000e-02 eta: 22:46:12 time: 0.2238 data_time: 0.0243 memory: 6108 grad_norm: 5.6286 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4695 loss: 2.4695 2022/07/22 15:56:10 - mmengine - INFO - Epoch(train) [8][1680/3757] lr: 1.0000e-02 eta: 22:46:06 time: 0.2316 data_time: 0.0206 memory: 6108 grad_norm: 5.5385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2779 loss: 2.2779 2022/07/22 15:56:15 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 1.0000e-02 eta: 22:46:02 time: 0.2391 data_time: 0.0215 memory: 6108 grad_norm: 5.7715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4154 loss: 2.4154 2022/07/22 15:56:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 15:56:20 - mmengine - INFO - Epoch(train) [8][1720/3757] lr: 1.0000e-02 eta: 22:45:56 time: 0.2285 data_time: 0.0178 memory: 6108 grad_norm: 5.5901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3229 loss: 2.3229 2022/07/22 15:56:24 - mmengine - INFO - Epoch(train) [8][1740/3757] lr: 1.0000e-02 eta: 22:45:47 time: 0.2219 data_time: 0.0212 memory: 6108 grad_norm: 5.6296 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5873 loss: 2.5873 2022/07/22 15:56:29 - mmengine - INFO - Epoch(train) [8][1760/3757] lr: 1.0000e-02 eta: 22:45:49 time: 0.2596 data_time: 0.0159 memory: 6108 grad_norm: 5.7079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4803 loss: 2.4803 2022/07/22 15:56:34 - mmengine - INFO - Epoch(train) [8][1780/3757] lr: 1.0000e-02 eta: 22:45:42 time: 0.2265 data_time: 0.0228 memory: 6108 grad_norm: 5.7095 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6187 loss: 2.6187 2022/07/22 15:56:39 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 1.0000e-02 eta: 22:45:41 time: 0.2507 data_time: 0.0190 memory: 6108 grad_norm: 5.4349 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3324 loss: 2.3324 2022/07/22 15:56:44 - mmengine - INFO - Epoch(train) [8][1820/3757] lr: 1.0000e-02 eta: 22:45:34 time: 0.2299 data_time: 0.0209 memory: 6108 grad_norm: 5.3438 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3295 loss: 2.3295 2022/07/22 15:56:49 - mmengine - INFO - Epoch(train) [8][1840/3757] lr: 1.0000e-02 eta: 22:45:33 time: 0.2501 data_time: 0.0205 memory: 6108 grad_norm: 5.5696 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3193 loss: 2.3193 2022/07/22 15:56:53 - mmengine - INFO - Epoch(train) [8][1860/3757] lr: 1.0000e-02 eta: 22:45:28 time: 0.2330 data_time: 0.0211 memory: 6108 grad_norm: 5.6110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5651 loss: 2.5651 2022/07/22 15:56:58 - mmengine - INFO - Epoch(train) [8][1880/3757] lr: 1.0000e-02 eta: 22:45:20 time: 0.2230 data_time: 0.0192 memory: 6108 grad_norm: 5.5442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3297 loss: 2.3297 2022/07/22 15:57:02 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 1.0000e-02 eta: 22:45:13 time: 0.2261 data_time: 0.0197 memory: 6108 grad_norm: 5.8713 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6017 loss: 2.6017 2022/07/22 15:57:07 - mmengine - INFO - Epoch(train) [8][1920/3757] lr: 1.0000e-02 eta: 22:45:11 time: 0.2472 data_time: 0.0239 memory: 6108 grad_norm: 5.5635 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4694 loss: 2.4694 2022/07/22 15:57:12 - mmengine - INFO - Epoch(train) [8][1940/3757] lr: 1.0000e-02 eta: 22:45:03 time: 0.2230 data_time: 0.0203 memory: 6108 grad_norm: 5.3387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4221 loss: 2.4221 2022/07/22 15:57:16 - mmengine - INFO - Epoch(train) [8][1960/3757] lr: 1.0000e-02 eta: 22:44:54 time: 0.2175 data_time: 0.0207 memory: 6108 grad_norm: 5.5358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6093 loss: 2.6093 2022/07/22 15:57:21 - mmengine - INFO - Epoch(train) [8][1980/3757] lr: 1.0000e-02 eta: 22:44:52 time: 0.2482 data_time: 0.0210 memory: 6108 grad_norm: 5.5795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3342 loss: 2.3342 2022/07/22 15:57:26 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 1.0000e-02 eta: 22:44:50 time: 0.2441 data_time: 0.0182 memory: 6108 grad_norm: 5.6508 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4870 loss: 2.4870 2022/07/22 15:57:30 - mmengine - INFO - Epoch(train) [8][2020/3757] lr: 1.0000e-02 eta: 22:44:44 time: 0.2310 data_time: 0.0175 memory: 6108 grad_norm: 5.6328 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7293 loss: 2.7293 2022/07/22 15:57:35 - mmengine - INFO - Epoch(train) [8][2040/3757] lr: 1.0000e-02 eta: 22:44:42 time: 0.2472 data_time: 0.0230 memory: 6108 grad_norm: 5.5906 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6555 loss: 2.6555 2022/07/22 15:57:40 - mmengine - INFO - Epoch(train) [8][2060/3757] lr: 1.0000e-02 eta: 22:44:34 time: 0.2244 data_time: 0.0242 memory: 6108 grad_norm: 5.5374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3548 loss: 2.3548 2022/07/22 15:57:44 - mmengine - INFO - Epoch(train) [8][2080/3757] lr: 1.0000e-02 eta: 22:44:26 time: 0.2192 data_time: 0.0202 memory: 6108 grad_norm: 5.5250 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2595 loss: 2.2595 2022/07/22 15:57:49 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 1.0000e-02 eta: 22:44:19 time: 0.2261 data_time: 0.0224 memory: 6108 grad_norm: 5.6450 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3042 loss: 2.3042 2022/07/22 15:57:54 - mmengine - INFO - Epoch(train) [8][2120/3757] lr: 1.0000e-02 eta: 22:44:24 time: 0.2786 data_time: 0.0172 memory: 6108 grad_norm: 5.6437 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6529 loss: 2.6529 2022/07/22 15:57:59 - mmengine - INFO - Epoch(train) [8][2140/3757] lr: 1.0000e-02 eta: 22:44:17 time: 0.2259 data_time: 0.0222 memory: 6108 grad_norm: 5.6147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6013 loss: 2.6013 2022/07/22 15:58:03 - mmengine - INFO - Epoch(train) [8][2160/3757] lr: 1.0000e-02 eta: 22:44:11 time: 0.2291 data_time: 0.0183 memory: 6108 grad_norm: 5.3893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4657 loss: 2.4657 2022/07/22 15:58:08 - mmengine - INFO - Epoch(train) [8][2180/3757] lr: 1.0000e-02 eta: 22:44:09 time: 0.2477 data_time: 0.0203 memory: 6108 grad_norm: 5.4823 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5685 loss: 2.5685 2022/07/22 15:58:13 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 1.0000e-02 eta: 22:44:01 time: 0.2228 data_time: 0.0222 memory: 6108 grad_norm: 5.6579 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4047 loss: 2.4047 2022/07/22 15:58:17 - mmengine - INFO - Epoch(train) [8][2220/3757] lr: 1.0000e-02 eta: 22:43:54 time: 0.2263 data_time: 0.0229 memory: 6108 grad_norm: 5.7727 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5737 loss: 2.5737 2022/07/22 15:58:22 - mmengine - INFO - Epoch(train) [8][2240/3757] lr: 1.0000e-02 eta: 22:43:52 time: 0.2464 data_time: 0.0196 memory: 6108 grad_norm: 5.4916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5853 loss: 2.5853 2022/07/22 15:58:27 - mmengine - INFO - Epoch(train) [8][2260/3757] lr: 1.0000e-02 eta: 22:43:45 time: 0.2273 data_time: 0.0221 memory: 6108 grad_norm: 5.4149 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4625 loss: 2.4625 2022/07/22 15:58:32 - mmengine - INFO - Epoch(train) [8][2280/3757] lr: 1.0000e-02 eta: 22:43:41 time: 0.2355 data_time: 0.0202 memory: 6108 grad_norm: 5.5646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4189 loss: 2.4189 2022/07/22 15:58:36 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 1.0000e-02 eta: 22:43:34 time: 0.2280 data_time: 0.0178 memory: 6108 grad_norm: 5.7002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5561 loss: 2.5561 2022/07/22 15:58:41 - mmengine - INFO - Epoch(train) [8][2320/3757] lr: 1.0000e-02 eta: 22:43:26 time: 0.2221 data_time: 0.0244 memory: 6108 grad_norm: 5.8238 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6735 loss: 2.6735 2022/07/22 15:58:46 - mmengine - INFO - Epoch(train) [8][2340/3757] lr: 1.0000e-02 eta: 22:43:28 time: 0.2637 data_time: 0.0172 memory: 6108 grad_norm: 5.6326 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3586 loss: 2.3586 2022/07/22 15:58:50 - mmengine - INFO - Epoch(train) [8][2360/3757] lr: 1.0000e-02 eta: 22:43:21 time: 0.2269 data_time: 0.0198 memory: 6108 grad_norm: 5.6047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5463 loss: 2.5463 2022/07/22 15:58:55 - mmengine - INFO - Epoch(train) [8][2380/3757] lr: 1.0000e-02 eta: 22:43:14 time: 0.2252 data_time: 0.0190 memory: 6108 grad_norm: 5.8473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6831 loss: 2.6831 2022/07/22 15:58:59 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 1.0000e-02 eta: 22:43:07 time: 0.2244 data_time: 0.0232 memory: 6108 grad_norm: 5.6736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0758 loss: 2.0758 2022/07/22 15:59:04 - mmengine - INFO - Epoch(train) [8][2420/3757] lr: 1.0000e-02 eta: 22:43:02 time: 0.2370 data_time: 0.0187 memory: 6108 grad_norm: 5.6931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6621 loss: 2.6621 2022/07/22 15:59:09 - mmengine - INFO - Epoch(train) [8][2440/3757] lr: 1.0000e-02 eta: 22:43:01 time: 0.2494 data_time: 0.0213 memory: 6108 grad_norm: 5.3866 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5581 loss: 2.5581 2022/07/22 15:59:14 - mmengine - INFO - Epoch(train) [8][2460/3757] lr: 1.0000e-02 eta: 22:42:54 time: 0.2284 data_time: 0.0200 memory: 6108 grad_norm: 5.5790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4093 loss: 2.4093 2022/07/22 15:59:18 - mmengine - INFO - Epoch(train) [8][2480/3757] lr: 1.0000e-02 eta: 22:42:46 time: 0.2212 data_time: 0.0176 memory: 6108 grad_norm: 5.5511 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6745 loss: 2.6745 2022/07/22 15:59:23 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 1.0000e-02 eta: 22:42:42 time: 0.2384 data_time: 0.0243 memory: 6108 grad_norm: 5.6326 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8590 loss: 2.8590 2022/07/22 15:59:28 - mmengine - INFO - Epoch(train) [8][2520/3757] lr: 1.0000e-02 eta: 22:42:38 time: 0.2374 data_time: 0.0181 memory: 6108 grad_norm: 5.4738 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6700 loss: 2.6700 2022/07/22 15:59:32 - mmengine - INFO - Epoch(train) [8][2540/3757] lr: 1.0000e-02 eta: 22:42:32 time: 0.2319 data_time: 0.0251 memory: 6108 grad_norm: 5.5508 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4476 loss: 2.4476 2022/07/22 15:59:37 - mmengine - INFO - Epoch(train) [8][2560/3757] lr: 1.0000e-02 eta: 22:42:24 time: 0.2222 data_time: 0.0264 memory: 6108 grad_norm: 5.5085 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4731 loss: 2.4731 2022/07/22 15:59:41 - mmengine - INFO - Epoch(train) [8][2580/3757] lr: 1.0000e-02 eta: 22:42:16 time: 0.2221 data_time: 0.0229 memory: 6108 grad_norm: 5.6446 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.5776 loss: 2.5776 2022/07/22 15:59:46 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 1.0000e-02 eta: 22:42:10 time: 0.2304 data_time: 0.0289 memory: 6108 grad_norm: 5.7294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5491 loss: 2.5491 2022/07/22 15:59:50 - mmengine - INFO - Epoch(train) [8][2620/3757] lr: 1.0000e-02 eta: 22:42:04 time: 0.2282 data_time: 0.0205 memory: 6108 grad_norm: 5.6688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4114 loss: 2.4114 2022/07/22 15:59:55 - mmengine - INFO - Epoch(train) [8][2640/3757] lr: 1.0000e-02 eta: 22:42:00 time: 0.2396 data_time: 0.0169 memory: 6108 grad_norm: 5.5928 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9302 loss: 2.9302 2022/07/22 16:00:00 - mmengine - INFO - Epoch(train) [8][2660/3757] lr: 1.0000e-02 eta: 22:41:58 time: 0.2491 data_time: 0.0153 memory: 6108 grad_norm: 5.6978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6713 loss: 2.6713 2022/07/22 16:00:05 - mmengine - INFO - Epoch(train) [8][2680/3757] lr: 1.0000e-02 eta: 22:41:52 time: 0.2280 data_time: 0.0206 memory: 6108 grad_norm: 5.4349 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5294 loss: 2.5294 2022/07/22 16:00:09 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 1.0000e-02 eta: 22:41:46 time: 0.2305 data_time: 0.0244 memory: 6108 grad_norm: 5.6540 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6102 loss: 2.6102 2022/07/22 16:00:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:00:14 - mmengine - INFO - Epoch(train) [8][2720/3757] lr: 1.0000e-02 eta: 22:41:42 time: 0.2380 data_time: 0.0189 memory: 6108 grad_norm: 5.6306 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5760 loss: 2.5760 2022/07/22 16:00:19 - mmengine - INFO - Epoch(train) [8][2740/3757] lr: 1.0000e-02 eta: 22:41:38 time: 0.2400 data_time: 0.0197 memory: 6108 grad_norm: 5.3875 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5367 loss: 2.5367 2022/07/22 16:00:23 - mmengine - INFO - Epoch(train) [8][2760/3757] lr: 1.0000e-02 eta: 22:41:29 time: 0.2188 data_time: 0.0174 memory: 6108 grad_norm: 5.7634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4384 loss: 2.4384 2022/07/22 16:00:28 - mmengine - INFO - Epoch(train) [8][2780/3757] lr: 1.0000e-02 eta: 22:41:21 time: 0.2193 data_time: 0.0213 memory: 6108 grad_norm: 5.5123 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6082 loss: 2.6082 2022/07/22 16:00:33 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 1.0000e-02 eta: 22:41:19 time: 0.2492 data_time: 0.0190 memory: 6108 grad_norm: 5.5404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4637 loss: 2.4637 2022/07/22 16:00:37 - mmengine - INFO - Epoch(train) [8][2820/3757] lr: 1.0000e-02 eta: 22:41:11 time: 0.2212 data_time: 0.0184 memory: 6108 grad_norm: 5.5810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5152 loss: 2.5152 2022/07/22 16:00:42 - mmengine - INFO - Epoch(train) [8][2840/3757] lr: 1.0000e-02 eta: 22:41:03 time: 0.2215 data_time: 0.0182 memory: 6108 grad_norm: 5.6696 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4173 loss: 2.4173 2022/07/22 16:00:46 - mmengine - INFO - Epoch(train) [8][2860/3757] lr: 1.0000e-02 eta: 22:40:59 time: 0.2372 data_time: 0.0253 memory: 6108 grad_norm: 5.4459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5277 loss: 2.5277 2022/07/22 16:00:51 - mmengine - INFO - Epoch(train) [8][2880/3757] lr: 1.0000e-02 eta: 22:40:53 time: 0.2298 data_time: 0.0208 memory: 6108 grad_norm: 5.4171 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7342 loss: 2.7342 2022/07/22 16:00:55 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 1.0000e-02 eta: 22:40:46 time: 0.2280 data_time: 0.0223 memory: 6108 grad_norm: 5.6040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5351 loss: 2.5351 2022/07/22 16:01:00 - mmengine - INFO - Epoch(train) [8][2920/3757] lr: 1.0000e-02 eta: 22:40:43 time: 0.2436 data_time: 0.0206 memory: 6108 grad_norm: 5.7013 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6875 loss: 2.6875 2022/07/22 16:01:05 - mmengine - INFO - Epoch(train) [8][2940/3757] lr: 1.0000e-02 eta: 22:40:36 time: 0.2246 data_time: 0.0181 memory: 6108 grad_norm: 5.6678 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5821 loss: 2.5821 2022/07/22 16:01:10 - mmengine - INFO - Epoch(train) [8][2960/3757] lr: 1.0000e-02 eta: 22:40:33 time: 0.2447 data_time: 0.0200 memory: 6108 grad_norm: 5.3901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3805 loss: 2.3805 2022/07/22 16:01:15 - mmengine - INFO - Epoch(train) [8][2980/3757] lr: 1.0000e-02 eta: 22:40:37 time: 0.2699 data_time: 0.0253 memory: 6108 grad_norm: 5.4705 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7575 loss: 2.7575 2022/07/22 16:01:19 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 1.0000e-02 eta: 22:40:28 time: 0.2189 data_time: 0.0180 memory: 6108 grad_norm: 5.5893 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2472 loss: 2.2472 2022/07/22 16:01:24 - mmengine - INFO - Epoch(train) [8][3020/3757] lr: 1.0000e-02 eta: 22:40:27 time: 0.2497 data_time: 0.0190 memory: 6108 grad_norm: 5.5663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5970 loss: 2.5970 2022/07/22 16:01:29 - mmengine - INFO - Epoch(train) [8][3040/3757] lr: 1.0000e-02 eta: 22:40:23 time: 0.2395 data_time: 0.0187 memory: 6108 grad_norm: 5.4855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6748 loss: 2.6748 2022/07/22 16:01:34 - mmengine - INFO - Epoch(train) [8][3060/3757] lr: 1.0000e-02 eta: 22:40:18 time: 0.2343 data_time: 0.0243 memory: 6108 grad_norm: 5.6798 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6335 loss: 2.6335 2022/07/22 16:01:38 - mmengine - INFO - Epoch(train) [8][3080/3757] lr: 1.0000e-02 eta: 22:40:10 time: 0.2243 data_time: 0.0207 memory: 6108 grad_norm: 5.5072 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4775 loss: 2.4775 2022/07/22 16:01:43 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 1.0000e-02 eta: 22:40:05 time: 0.2332 data_time: 0.0251 memory: 6108 grad_norm: 5.5900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8476 loss: 2.8476 2022/07/22 16:01:48 - mmengine - INFO - Epoch(train) [8][3120/3757] lr: 1.0000e-02 eta: 22:39:57 time: 0.2216 data_time: 0.0200 memory: 6108 grad_norm: 5.4581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4552 loss: 2.4552 2022/07/22 16:01:52 - mmengine - INFO - Epoch(train) [8][3140/3757] lr: 1.0000e-02 eta: 22:39:52 time: 0.2325 data_time: 0.0216 memory: 6108 grad_norm: 5.5386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5508 loss: 2.5508 2022/07/22 16:01:57 - mmengine - INFO - Epoch(train) [8][3160/3757] lr: 1.0000e-02 eta: 22:39:46 time: 0.2299 data_time: 0.0228 memory: 6108 grad_norm: 5.5246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3762 loss: 2.3762 2022/07/22 16:02:01 - mmengine - INFO - Epoch(train) [8][3180/3757] lr: 1.0000e-02 eta: 22:39:39 time: 0.2288 data_time: 0.0215 memory: 6108 grad_norm: 5.6583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3371 loss: 2.3371 2022/07/22 16:02:06 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 1.0000e-02 eta: 22:39:35 time: 0.2388 data_time: 0.0194 memory: 6108 grad_norm: 5.6930 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5519 loss: 2.5519 2022/07/22 16:02:11 - mmengine - INFO - Epoch(train) [8][3220/3757] lr: 1.0000e-02 eta: 22:39:36 time: 0.2591 data_time: 0.0602 memory: 6108 grad_norm: 5.6397 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5347 loss: 2.5347 2022/07/22 16:02:16 - mmengine - INFO - Epoch(train) [8][3240/3757] lr: 1.0000e-02 eta: 22:39:28 time: 0.2229 data_time: 0.0259 memory: 6108 grad_norm: 5.5189 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6938 loss: 2.6938 2022/07/22 16:02:21 - mmengine - INFO - Epoch(train) [8][3260/3757] lr: 1.0000e-02 eta: 22:39:24 time: 0.2375 data_time: 0.0183 memory: 6108 grad_norm: 5.3980 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7954 loss: 2.7954 2022/07/22 16:02:25 - mmengine - INFO - Epoch(train) [8][3280/3757] lr: 1.0000e-02 eta: 22:39:17 time: 0.2238 data_time: 0.0324 memory: 6108 grad_norm: 5.5207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/22 16:02:30 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 1.0000e-02 eta: 22:39:09 time: 0.2242 data_time: 0.0174 memory: 6108 grad_norm: 5.5703 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5649 loss: 2.5649 2022/07/22 16:02:34 - mmengine - INFO - Epoch(train) [8][3320/3757] lr: 1.0000e-02 eta: 22:39:03 time: 0.2310 data_time: 0.0192 memory: 6108 grad_norm: 5.5099 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8003 loss: 2.8003 2022/07/22 16:02:39 - mmengine - INFO - Epoch(train) [8][3340/3757] lr: 1.0000e-02 eta: 22:39:00 time: 0.2394 data_time: 0.0215 memory: 6108 grad_norm: 5.6230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3920 loss: 2.3920 2022/07/22 16:02:43 - mmengine - INFO - Epoch(train) [8][3360/3757] lr: 1.0000e-02 eta: 22:38:52 time: 0.2228 data_time: 0.0196 memory: 6108 grad_norm: 5.5602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6492 loss: 2.6492 2022/07/22 16:02:48 - mmengine - INFO - Epoch(train) [8][3380/3757] lr: 1.0000e-02 eta: 22:38:45 time: 0.2268 data_time: 0.0184 memory: 6108 grad_norm: 5.7049 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6238 loss: 2.6238 2022/07/22 16:02:53 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 1.0000e-02 eta: 22:38:47 time: 0.2641 data_time: 0.0237 memory: 6108 grad_norm: 5.5961 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7619 loss: 2.7619 2022/07/22 16:02:58 - mmengine - INFO - Epoch(train) [8][3420/3757] lr: 1.0000e-02 eta: 22:38:39 time: 0.2193 data_time: 0.0217 memory: 6108 grad_norm: 5.5553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/07/22 16:03:03 - mmengine - INFO - Epoch(train) [8][3440/3757] lr: 1.0000e-02 eta: 22:38:36 time: 0.2460 data_time: 0.0185 memory: 6108 grad_norm: 5.5061 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5159 loss: 2.5159 2022/07/22 16:03:07 - mmengine - INFO - Epoch(train) [8][3460/3757] lr: 1.0000e-02 eta: 22:38:33 time: 0.2424 data_time: 0.0197 memory: 6108 grad_norm: 5.4348 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2549 loss: 2.2549 2022/07/22 16:03:12 - mmengine - INFO - Epoch(train) [8][3480/3757] lr: 1.0000e-02 eta: 22:38:26 time: 0.2238 data_time: 0.0208 memory: 6108 grad_norm: 5.5863 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1997 loss: 2.1997 2022/07/22 16:03:16 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 1.0000e-02 eta: 22:38:19 time: 0.2273 data_time: 0.0229 memory: 6108 grad_norm: 5.6557 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4534 loss: 2.4534 2022/07/22 16:03:22 - mmengine - INFO - Epoch(train) [8][3520/3757] lr: 1.0000e-02 eta: 22:38:21 time: 0.2638 data_time: 0.0167 memory: 6108 grad_norm: 5.4213 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1854 loss: 2.1854 2022/07/22 16:03:26 - mmengine - INFO - Epoch(train) [8][3540/3757] lr: 1.0000e-02 eta: 22:38:17 time: 0.2389 data_time: 0.0146 memory: 6108 grad_norm: 5.7079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6807 loss: 2.6807 2022/07/22 16:03:31 - mmengine - INFO - Epoch(train) [8][3560/3757] lr: 1.0000e-02 eta: 22:38:13 time: 0.2377 data_time: 0.0199 memory: 6108 grad_norm: 5.5479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7303 loss: 2.7303 2022/07/22 16:03:36 - mmengine - INFO - Epoch(train) [8][3580/3757] lr: 1.0000e-02 eta: 22:38:07 time: 0.2305 data_time: 0.0183 memory: 6108 grad_norm: 5.5400 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5526 loss: 2.5526 2022/07/22 16:03:40 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 1.0000e-02 eta: 22:38:01 time: 0.2306 data_time: 0.0227 memory: 6108 grad_norm: 5.5144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2204 loss: 2.2204 2022/07/22 16:03:45 - mmengine - INFO - Epoch(train) [8][3620/3757] lr: 1.0000e-02 eta: 22:37:53 time: 0.2214 data_time: 0.0203 memory: 6108 grad_norm: 5.5135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1937 loss: 2.1937 2022/07/22 16:03:50 - mmengine - INFO - Epoch(train) [8][3640/3757] lr: 1.0000e-02 eta: 22:37:47 time: 0.2306 data_time: 0.0177 memory: 6108 grad_norm: 5.6140 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5047 loss: 2.5047 2022/07/22 16:03:54 - mmengine - INFO - Epoch(train) [8][3660/3757] lr: 1.0000e-02 eta: 22:37:39 time: 0.2214 data_time: 0.0247 memory: 6108 grad_norm: 5.4095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8289 loss: 2.8289 2022/07/22 16:03:59 - mmengine - INFO - Epoch(train) [8][3680/3757] lr: 1.0000e-02 eta: 22:37:36 time: 0.2426 data_time: 0.0442 memory: 6108 grad_norm: 5.6146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5777 loss: 2.5777 2022/07/22 16:04:03 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 1.0000e-02 eta: 22:37:27 time: 0.2183 data_time: 0.0196 memory: 6108 grad_norm: 5.7891 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6546 loss: 2.6546 2022/07/22 16:04:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:04:08 - mmengine - INFO - Epoch(train) [8][3720/3757] lr: 1.0000e-02 eta: 22:37:23 time: 0.2366 data_time: 0.0219 memory: 6108 grad_norm: 5.6436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4538 loss: 2.4538 2022/07/22 16:04:13 - mmengine - INFO - Epoch(train) [8][3740/3757] lr: 1.0000e-02 eta: 22:37:21 time: 0.2493 data_time: 0.0195 memory: 6108 grad_norm: 5.5904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5122 loss: 2.5122 2022/07/22 16:04:16 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:04:16 - mmengine - INFO - Epoch(train) [8][3757/3757] lr: 1.0000e-02 eta: 22:37:21 time: 0.1975 data_time: 0.0139 memory: 6108 grad_norm: 5.5169 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.6025 loss: 2.6025 2022/07/22 16:04:22 - mmengine - INFO - Epoch(val) [8][20/310] eta: 0:01:21 time: 0.2801 data_time: 0.2026 memory: 1428 2022/07/22 16:04:26 - mmengine - INFO - Epoch(val) [8][40/310] eta: 0:00:50 time: 0.1885 data_time: 0.1104 memory: 1428 2022/07/22 16:04:30 - mmengine - INFO - Epoch(val) [8][60/310] eta: 0:00:56 time: 0.2244 data_time: 0.1424 memory: 1428 2022/07/22 16:04:34 - mmengine - INFO - Epoch(val) [8][80/310] eta: 0:00:43 time: 0.1908 data_time: 0.1157 memory: 1428 2022/07/22 16:04:38 - mmengine - INFO - Epoch(val) [8][100/310] eta: 0:00:48 time: 0.2301 data_time: 0.1522 memory: 1428 2022/07/22 16:04:42 - mmengine - INFO - Epoch(val) [8][120/310] eta: 0:00:34 time: 0.1830 data_time: 0.1054 memory: 1428 2022/07/22 16:04:47 - mmengine - INFO - Epoch(val) [8][140/310] eta: 0:00:40 time: 0.2405 data_time: 0.1639 memory: 1428 2022/07/22 16:04:51 - mmengine - INFO - Epoch(val) [8][160/310] eta: 0:00:32 time: 0.2149 data_time: 0.1318 memory: 1428 2022/07/22 16:04:55 - mmengine - INFO - Epoch(val) [8][180/310] eta: 0:00:27 time: 0.2127 data_time: 0.1369 memory: 1428 2022/07/22 16:05:00 - mmengine - INFO - Epoch(val) [8][200/310] eta: 0:00:23 time: 0.2133 data_time: 0.1382 memory: 1428 2022/07/22 16:05:03 - mmengine - INFO - Epoch(val) [8][220/310] eta: 0:00:16 time: 0.1846 data_time: 0.1090 memory: 1428 2022/07/22 16:05:08 - mmengine - INFO - Epoch(val) [8][240/310] eta: 0:00:14 time: 0.2050 data_time: 0.1268 memory: 1428 2022/07/22 16:05:12 - mmengine - INFO - Epoch(val) [8][260/310] eta: 0:00:11 time: 0.2281 data_time: 0.1414 memory: 1428 2022/07/22 16:05:16 - mmengine - INFO - Epoch(val) [8][280/310] eta: 0:00:05 time: 0.1878 data_time: 0.1104 memory: 1428 2022/07/22 16:05:20 - mmengine - INFO - Epoch(val) [8][300/310] eta: 0:00:02 time: 0.2204 data_time: 0.1434 memory: 1428 2022/07/22 16:05:25 - mmengine - INFO - Epoch(val) [8][310/310] acc/top1: 0.4771 acc/top5: 0.7451 acc/mean1: 0.4768 2022/07/22 16:05:31 - mmengine - INFO - Epoch(train) [9][20/3757] lr: 1.0000e-02 eta: 22:36:47 time: 0.3252 data_time: 0.0892 memory: 6108 grad_norm: 5.4969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4902 loss: 2.4902 2022/07/22 16:05:36 - mmengine - INFO - Epoch(train) [9][40/3757] lr: 1.0000e-02 eta: 22:36:46 time: 0.2523 data_time: 0.0312 memory: 6108 grad_norm: 5.4128 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4291 loss: 2.4291 2022/07/22 16:05:41 - mmengine - INFO - Epoch(train) [9][60/3757] lr: 1.0000e-02 eta: 22:36:39 time: 0.2228 data_time: 0.0245 memory: 6108 grad_norm: 5.3692 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0896 loss: 2.0896 2022/07/22 16:05:45 - mmengine - INFO - Epoch(train) [9][80/3757] lr: 1.0000e-02 eta: 22:36:33 time: 0.2299 data_time: 0.0282 memory: 6108 grad_norm: 5.7499 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4937 loss: 2.4937 2022/07/22 16:05:50 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 1.0000e-02 eta: 22:36:28 time: 0.2376 data_time: 0.0371 memory: 6108 grad_norm: 5.6078 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3006 loss: 2.3006 2022/07/22 16:05:55 - mmengine - INFO - Epoch(train) [9][120/3757] lr: 1.0000e-02 eta: 22:36:22 time: 0.2304 data_time: 0.0219 memory: 6108 grad_norm: 5.5613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4223 loss: 2.4223 2022/07/22 16:05:59 - mmengine - INFO - Epoch(train) [9][140/3757] lr: 1.0000e-02 eta: 22:36:17 time: 0.2310 data_time: 0.0233 memory: 6108 grad_norm: 5.5595 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6544 loss: 2.6544 2022/07/22 16:06:04 - mmengine - INFO - Epoch(train) [9][160/3757] lr: 1.0000e-02 eta: 22:36:09 time: 0.2247 data_time: 0.0236 memory: 6108 grad_norm: 5.4856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4770 loss: 2.4770 2022/07/22 16:06:08 - mmengine - INFO - Epoch(train) [9][180/3757] lr: 1.0000e-02 eta: 22:36:02 time: 0.2227 data_time: 0.0257 memory: 6108 grad_norm: 5.5391 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5022 loss: 2.5022 2022/07/22 16:06:13 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 1.0000e-02 eta: 22:36:00 time: 0.2493 data_time: 0.0203 memory: 6108 grad_norm: 5.4866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2789 loss: 2.2789 2022/07/22 16:06:18 - mmengine - INFO - Epoch(train) [9][220/3757] lr: 1.0000e-02 eta: 22:35:56 time: 0.2377 data_time: 0.0161 memory: 6108 grad_norm: 5.3790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4789 loss: 2.4789 2022/07/22 16:06:23 - mmengine - INFO - Epoch(train) [9][240/3757] lr: 1.0000e-02 eta: 22:35:49 time: 0.2260 data_time: 0.0218 memory: 6108 grad_norm: 5.8086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8000 loss: 2.8000 2022/07/22 16:06:27 - mmengine - INFO - Epoch(train) [9][260/3757] lr: 1.0000e-02 eta: 22:35:46 time: 0.2441 data_time: 0.0180 memory: 6108 grad_norm: 5.6196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5456 loss: 2.5456 2022/07/22 16:06:32 - mmengine - INFO - Epoch(train) [9][280/3757] lr: 1.0000e-02 eta: 22:35:40 time: 0.2295 data_time: 0.0248 memory: 6108 grad_norm: 5.5706 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1060 loss: 2.1060 2022/07/22 16:06:37 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 1.0000e-02 eta: 22:35:36 time: 0.2367 data_time: 0.0251 memory: 6108 grad_norm: 5.6218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4153 loss: 2.4153 2022/07/22 16:06:41 - mmengine - INFO - Epoch(train) [9][320/3757] lr: 1.0000e-02 eta: 22:35:30 time: 0.2316 data_time: 0.0198 memory: 6108 grad_norm: 5.6518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7544 loss: 2.7544 2022/07/22 16:06:46 - mmengine - INFO - Epoch(train) [9][340/3757] lr: 1.0000e-02 eta: 22:35:23 time: 0.2240 data_time: 0.0185 memory: 6108 grad_norm: 5.7466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5922 loss: 2.5922 2022/07/22 16:06:51 - mmengine - INFO - Epoch(train) [9][360/3757] lr: 1.0000e-02 eta: 22:35:22 time: 0.2501 data_time: 0.0205 memory: 6108 grad_norm: 5.6066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3735 loss: 2.3735 2022/07/22 16:06:55 - mmengine - INFO - Epoch(train) [9][380/3757] lr: 1.0000e-02 eta: 22:35:15 time: 0.2255 data_time: 0.0243 memory: 6108 grad_norm: 5.4979 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2254 loss: 2.2254 2022/07/22 16:07:00 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 1.0000e-02 eta: 22:35:14 time: 0.2555 data_time: 0.0294 memory: 6108 grad_norm: 5.6576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4112 loss: 2.4112 2022/07/22 16:07:05 - mmengine - INFO - Epoch(train) [9][420/3757] lr: 1.0000e-02 eta: 22:35:07 time: 0.2245 data_time: 0.0186 memory: 6108 grad_norm: 5.6073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4625 loss: 2.4625 2022/07/22 16:07:10 - mmengine - INFO - Epoch(train) [9][440/3757] lr: 1.0000e-02 eta: 22:35:02 time: 0.2327 data_time: 0.0198 memory: 6108 grad_norm: 5.5891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/07/22 16:07:14 - mmengine - INFO - Epoch(train) [9][460/3757] lr: 1.0000e-02 eta: 22:34:55 time: 0.2258 data_time: 0.0202 memory: 6108 grad_norm: 5.6327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2632 loss: 2.2632 2022/07/22 16:07:19 - mmengine - INFO - Epoch(train) [9][480/3757] lr: 1.0000e-02 eta: 22:34:52 time: 0.2419 data_time: 0.0214 memory: 6108 grad_norm: 5.6897 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3761 loss: 2.3761 2022/07/22 16:07:23 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 1.0000e-02 eta: 22:34:43 time: 0.2197 data_time: 0.0205 memory: 6108 grad_norm: 5.5922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3338 loss: 2.3338 2022/07/22 16:07:28 - mmengine - INFO - Epoch(train) [9][520/3757] lr: 1.0000e-02 eta: 22:34:37 time: 0.2268 data_time: 0.0206 memory: 6108 grad_norm: 5.5683 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7241 loss: 2.7241 2022/07/22 16:07:34 - mmengine - INFO - Epoch(train) [9][540/3757] lr: 1.0000e-02 eta: 22:34:43 time: 0.2822 data_time: 0.0166 memory: 6108 grad_norm: 5.3601 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4051 loss: 2.4051 2022/07/22 16:07:38 - mmengine - INFO - Epoch(train) [9][560/3757] lr: 1.0000e-02 eta: 22:34:35 time: 0.2210 data_time: 0.0206 memory: 6108 grad_norm: 5.5368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4439 loss: 2.4439 2022/07/22 16:07:43 - mmengine - INFO - Epoch(train) [9][580/3757] lr: 1.0000e-02 eta: 22:34:29 time: 0.2322 data_time: 0.0216 memory: 6108 grad_norm: 5.4732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3197 loss: 2.3197 2022/07/22 16:07:47 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 1.0000e-02 eta: 22:34:21 time: 0.2189 data_time: 0.0210 memory: 6108 grad_norm: 5.5184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7690 loss: 2.7690 2022/07/22 16:07:52 - mmengine - INFO - Epoch(train) [9][620/3757] lr: 1.0000e-02 eta: 22:34:19 time: 0.2490 data_time: 0.0200 memory: 6108 grad_norm: 5.4075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0868 loss: 2.0868 2022/07/22 16:07:57 - mmengine - INFO - Epoch(train) [9][640/3757] lr: 1.0000e-02 eta: 22:34:12 time: 0.2251 data_time: 0.0229 memory: 6108 grad_norm: 5.5897 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5143 loss: 2.5143 2022/07/22 16:08:01 - mmengine - INFO - Epoch(train) [9][660/3757] lr: 1.0000e-02 eta: 22:34:04 time: 0.2217 data_time: 0.0148 memory: 6108 grad_norm: 5.5753 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8483 loss: 2.8483 2022/07/22 16:08:05 - mmengine - INFO - Epoch(train) [9][680/3757] lr: 1.0000e-02 eta: 22:33:56 time: 0.2191 data_time: 0.0178 memory: 6108 grad_norm: 5.5853 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6076 loss: 2.6076 2022/07/22 16:08:10 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 1.0000e-02 eta: 22:33:52 time: 0.2407 data_time: 0.0237 memory: 6108 grad_norm: 5.6228 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2091 loss: 2.2091 2022/07/22 16:08:15 - mmengine - INFO - Epoch(train) [9][720/3757] lr: 1.0000e-02 eta: 22:33:46 time: 0.2277 data_time: 0.0312 memory: 6108 grad_norm: 5.6114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3144 loss: 2.3144 2022/07/22 16:08:19 - mmengine - INFO - Epoch(train) [9][740/3757] lr: 1.0000e-02 eta: 22:33:41 time: 0.2375 data_time: 0.0311 memory: 6108 grad_norm: 5.6471 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4231 loss: 2.4231 2022/07/22 16:08:24 - mmengine - INFO - Epoch(train) [9][760/3757] lr: 1.0000e-02 eta: 22:33:34 time: 0.2218 data_time: 0.0220 memory: 6108 grad_norm: 5.5841 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5556 loss: 2.5556 2022/07/22 16:08:29 - mmengine - INFO - Epoch(train) [9][780/3757] lr: 1.0000e-02 eta: 22:33:31 time: 0.2465 data_time: 0.0337 memory: 6108 grad_norm: 5.4393 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3012 loss: 2.3012 2022/07/22 16:08:39 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 1.0000e-02 eta: 22:34:23 time: 0.4875 data_time: 0.0248 memory: 6108 grad_norm: 5.5011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4440 loss: 2.4440 2022/07/22 16:08:43 - mmengine - INFO - Epoch(train) [9][820/3757] lr: 1.0000e-02 eta: 22:34:17 time: 0.2275 data_time: 0.0277 memory: 6108 grad_norm: 5.6746 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5278 loss: 2.5278 2022/07/22 16:08:48 - mmengine - INFO - Epoch(train) [9][840/3757] lr: 1.0000e-02 eta: 22:34:11 time: 0.2339 data_time: 0.0199 memory: 6108 grad_norm: 5.7321 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7282 loss: 2.7282 2022/07/22 16:08:53 - mmengine - INFO - Epoch(train) [9][860/3757] lr: 1.0000e-02 eta: 22:34:10 time: 0.2484 data_time: 0.0450 memory: 6108 grad_norm: 5.5723 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5046 loss: 2.5046 2022/07/22 16:08:57 - mmengine - INFO - Epoch(train) [9][880/3757] lr: 1.0000e-02 eta: 22:34:02 time: 0.2228 data_time: 0.0235 memory: 6108 grad_norm: 5.7436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3041 loss: 2.3041 2022/07/22 16:09:02 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 1.0000e-02 eta: 22:33:56 time: 0.2307 data_time: 0.0229 memory: 6108 grad_norm: 5.5427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1821 loss: 2.1821 2022/07/22 16:09:07 - mmengine - INFO - Epoch(train) [9][920/3757] lr: 1.0000e-02 eta: 22:33:53 time: 0.2446 data_time: 0.0334 memory: 6108 grad_norm: 5.7944 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5327 loss: 2.5327 2022/07/22 16:09:12 - mmengine - INFO - Epoch(train) [9][940/3757] lr: 1.0000e-02 eta: 22:33:51 time: 0.2481 data_time: 0.0150 memory: 6108 grad_norm: 5.4876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6366 loss: 2.6366 2022/07/22 16:09:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:09:16 - mmengine - INFO - Epoch(train) [9][960/3757] lr: 1.0000e-02 eta: 22:33:44 time: 0.2217 data_time: 0.0218 memory: 6108 grad_norm: 5.4131 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6069 loss: 2.6069 2022/07/22 16:09:21 - mmengine - INFO - Epoch(train) [9][980/3757] lr: 1.0000e-02 eta: 22:33:37 time: 0.2263 data_time: 0.0190 memory: 6108 grad_norm: 5.6442 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6413 loss: 2.6413 2022/07/22 16:09:25 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 1.0000e-02 eta: 22:33:29 time: 0.2213 data_time: 0.0226 memory: 6108 grad_norm: 5.5716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5313 loss: 2.5313 2022/07/22 16:09:30 - mmengine - INFO - Epoch(train) [9][1020/3757] lr: 1.0000e-02 eta: 22:33:24 time: 0.2330 data_time: 0.0189 memory: 6108 grad_norm: 5.4745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5526 loss: 2.5526 2022/07/22 16:09:35 - mmengine - INFO - Epoch(train) [9][1040/3757] lr: 1.0000e-02 eta: 22:33:21 time: 0.2433 data_time: 0.0206 memory: 6108 grad_norm: 5.5510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4502 loss: 2.4502 2022/07/22 16:09:39 - mmengine - INFO - Epoch(train) [9][1060/3757] lr: 1.0000e-02 eta: 22:33:14 time: 0.2272 data_time: 0.0221 memory: 6108 grad_norm: 5.5381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3117 loss: 2.3117 2022/07/22 16:09:44 - mmengine - INFO - Epoch(train) [9][1080/3757] lr: 1.0000e-02 eta: 22:33:08 time: 0.2284 data_time: 0.0200 memory: 6108 grad_norm: 5.5456 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4599 loss: 2.4599 2022/07/22 16:09:49 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 1.0000e-02 eta: 22:33:05 time: 0.2443 data_time: 0.0213 memory: 6108 grad_norm: 5.4613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4139 loss: 2.4139 2022/07/22 16:09:53 - mmengine - INFO - Epoch(train) [9][1120/3757] lr: 1.0000e-02 eta: 22:33:00 time: 0.2348 data_time: 0.0297 memory: 6108 grad_norm: 5.5158 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5187 loss: 2.5187 2022/07/22 16:09:58 - mmengine - INFO - Epoch(train) [9][1140/3757] lr: 1.0000e-02 eta: 22:32:53 time: 0.2249 data_time: 0.0224 memory: 6108 grad_norm: 5.4853 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3810 loss: 2.3810 2022/07/22 16:10:02 - mmengine - INFO - Epoch(train) [9][1160/3757] lr: 1.0000e-02 eta: 22:32:46 time: 0.2248 data_time: 0.0218 memory: 6108 grad_norm: 5.5073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3378 loss: 2.3378 2022/07/22 16:10:07 - mmengine - INFO - Epoch(train) [9][1180/3757] lr: 1.0000e-02 eta: 22:32:38 time: 0.2208 data_time: 0.0241 memory: 6108 grad_norm: 5.4273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4609 loss: 2.4609 2022/07/22 16:10:12 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 1.0000e-02 eta: 22:32:37 time: 0.2534 data_time: 0.0171 memory: 6108 grad_norm: 5.6562 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2643 loss: 2.2643 2022/07/22 16:10:17 - mmengine - INFO - Epoch(train) [9][1220/3757] lr: 1.0000e-02 eta: 22:32:35 time: 0.2455 data_time: 0.0154 memory: 6108 grad_norm: 5.7473 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6704 loss: 2.6704 2022/07/22 16:10:22 - mmengine - INFO - Epoch(train) [9][1240/3757] lr: 1.0000e-02 eta: 22:32:31 time: 0.2408 data_time: 0.0232 memory: 6108 grad_norm: 5.6382 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5398 loss: 2.5398 2022/07/22 16:10:26 - mmengine - INFO - Epoch(train) [9][1260/3757] lr: 1.0000e-02 eta: 22:32:24 time: 0.2236 data_time: 0.0223 memory: 6108 grad_norm: 5.7147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4512 loss: 2.4512 2022/07/22 16:10:31 - mmengine - INFO - Epoch(train) [9][1280/3757] lr: 1.0000e-02 eta: 22:32:21 time: 0.2443 data_time: 0.0159 memory: 6108 grad_norm: 5.5293 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6699 loss: 2.6699 2022/07/22 16:10:36 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 1.0000e-02 eta: 22:32:15 time: 0.2306 data_time: 0.0343 memory: 6108 grad_norm: 5.6014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4713 loss: 2.4713 2022/07/22 16:10:40 - mmengine - INFO - Epoch(train) [9][1320/3757] lr: 1.0000e-02 eta: 22:32:09 time: 0.2285 data_time: 0.0220 memory: 6108 grad_norm: 5.5303 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6901 loss: 2.6901 2022/07/22 16:10:45 - mmengine - INFO - Epoch(train) [9][1340/3757] lr: 1.0000e-02 eta: 22:32:01 time: 0.2231 data_time: 0.0191 memory: 6108 grad_norm: 5.3946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2167 loss: 2.2167 2022/07/22 16:10:49 - mmengine - INFO - Epoch(train) [9][1360/3757] lr: 1.0000e-02 eta: 22:31:56 time: 0.2320 data_time: 0.0247 memory: 6108 grad_norm: 5.4475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5610 loss: 2.5610 2022/07/22 16:10:54 - mmengine - INFO - Epoch(train) [9][1380/3757] lr: 1.0000e-02 eta: 22:31:48 time: 0.2218 data_time: 0.0175 memory: 6108 grad_norm: 5.4939 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2733 loss: 2.2733 2022/07/22 16:10:58 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 1.0000e-02 eta: 22:31:41 time: 0.2266 data_time: 0.0262 memory: 6108 grad_norm: 5.4182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5434 loss: 2.5434 2022/07/22 16:11:03 - mmengine - INFO - Epoch(train) [9][1420/3757] lr: 1.0000e-02 eta: 22:31:36 time: 0.2303 data_time: 0.0196 memory: 6108 grad_norm: 5.5884 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4848 loss: 2.4848 2022/07/22 16:11:08 - mmengine - INFO - Epoch(train) [9][1440/3757] lr: 1.0000e-02 eta: 22:31:32 time: 0.2402 data_time: 0.0171 memory: 6108 grad_norm: 5.4223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4234 loss: 2.4234 2022/07/22 16:11:12 - mmengine - INFO - Epoch(train) [9][1460/3757] lr: 1.0000e-02 eta: 22:31:26 time: 0.2312 data_time: 0.0261 memory: 6108 grad_norm: 5.6368 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4027 loss: 2.4027 2022/07/22 16:11:17 - mmengine - INFO - Epoch(train) [9][1480/3757] lr: 1.0000e-02 eta: 22:31:24 time: 0.2476 data_time: 0.0213 memory: 6108 grad_norm: 5.5810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3553 loss: 2.3553 2022/07/22 16:11:22 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 1.0000e-02 eta: 22:31:18 time: 0.2287 data_time: 0.0222 memory: 6108 grad_norm: 5.5125 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5835 loss: 2.5835 2022/07/22 16:11:26 - mmengine - INFO - Epoch(train) [9][1520/3757] lr: 1.0000e-02 eta: 22:31:10 time: 0.2214 data_time: 0.0201 memory: 6108 grad_norm: 5.5422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5907 loss: 2.5907 2022/07/22 16:11:31 - mmengine - INFO - Epoch(train) [9][1540/3757] lr: 1.0000e-02 eta: 22:31:02 time: 0.2223 data_time: 0.0291 memory: 6108 grad_norm: 5.6339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3920 loss: 2.3920 2022/07/22 16:11:35 - mmengine - INFO - Epoch(train) [9][1560/3757] lr: 1.0000e-02 eta: 22:30:57 time: 0.2318 data_time: 0.0220 memory: 6108 grad_norm: 5.7678 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8796 loss: 2.8796 2022/07/22 16:11:40 - mmengine - INFO - Epoch(train) [9][1580/3757] lr: 1.0000e-02 eta: 22:30:53 time: 0.2381 data_time: 0.0202 memory: 6108 grad_norm: 5.3851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4920 loss: 2.4920 2022/07/22 16:11:45 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 1.0000e-02 eta: 22:30:45 time: 0.2232 data_time: 0.0226 memory: 6108 grad_norm: 5.5875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3161 loss: 2.3161 2022/07/22 16:11:49 - mmengine - INFO - Epoch(train) [9][1620/3757] lr: 1.0000e-02 eta: 22:30:37 time: 0.2205 data_time: 0.0207 memory: 6108 grad_norm: 5.6125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5737 loss: 2.5737 2022/07/22 16:11:54 - mmengine - INFO - Epoch(train) [9][1640/3757] lr: 1.0000e-02 eta: 22:30:31 time: 0.2268 data_time: 0.0174 memory: 6108 grad_norm: 5.5787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3738 loss: 2.3738 2022/07/22 16:11:58 - mmengine - INFO - Epoch(train) [9][1660/3757] lr: 1.0000e-02 eta: 22:30:24 time: 0.2246 data_time: 0.0261 memory: 6108 grad_norm: 5.5625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8160 loss: 2.8160 2022/07/22 16:12:03 - mmengine - INFO - Epoch(train) [9][1680/3757] lr: 1.0000e-02 eta: 22:30:18 time: 0.2308 data_time: 0.0203 memory: 6108 grad_norm: 5.6856 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8080 loss: 2.8080 2022/07/22 16:12:07 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 1.0000e-02 eta: 22:30:14 time: 0.2405 data_time: 0.0228 memory: 6108 grad_norm: 5.8300 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4222 loss: 2.4222 2022/07/22 16:12:12 - mmengine - INFO - Epoch(train) [9][1720/3757] lr: 1.0000e-02 eta: 22:30:07 time: 0.2241 data_time: 0.0260 memory: 6108 grad_norm: 5.8106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5106 loss: 2.5106 2022/07/22 16:12:16 - mmengine - INFO - Epoch(train) [9][1740/3757] lr: 1.0000e-02 eta: 22:30:00 time: 0.2255 data_time: 0.0187 memory: 6108 grad_norm: 5.7271 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3232 loss: 2.3232 2022/07/22 16:12:21 - mmengine - INFO - Epoch(train) [9][1760/3757] lr: 1.0000e-02 eta: 22:29:55 time: 0.2349 data_time: 0.0212 memory: 6108 grad_norm: 5.6421 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4462 loss: 2.4462 2022/07/22 16:12:26 - mmengine - INFO - Epoch(train) [9][1780/3757] lr: 1.0000e-02 eta: 22:29:50 time: 0.2308 data_time: 0.0198 memory: 6108 grad_norm: 5.7580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8146 loss: 2.8146 2022/07/22 16:12:30 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 1.0000e-02 eta: 22:29:44 time: 0.2302 data_time: 0.0259 memory: 6108 grad_norm: 5.6078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3695 loss: 2.3695 2022/07/22 16:12:35 - mmengine - INFO - Epoch(train) [9][1820/3757] lr: 1.0000e-02 eta: 22:29:36 time: 0.2191 data_time: 0.0184 memory: 6108 grad_norm: 5.5470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4155 loss: 2.4155 2022/07/22 16:12:40 - mmengine - INFO - Epoch(train) [9][1840/3757] lr: 1.0000e-02 eta: 22:29:35 time: 0.2534 data_time: 0.0254 memory: 6108 grad_norm: 5.4541 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4978 loss: 2.4978 2022/07/22 16:12:44 - mmengine - INFO - Epoch(train) [9][1860/3757] lr: 1.0000e-02 eta: 22:29:27 time: 0.2205 data_time: 0.0164 memory: 6108 grad_norm: 5.4839 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4650 loss: 2.4650 2022/07/22 16:12:49 - mmengine - INFO - Epoch(train) [9][1880/3757] lr: 1.0000e-02 eta: 22:29:20 time: 0.2244 data_time: 0.0233 memory: 6108 grad_norm: 5.4403 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6965 loss: 2.6965 2022/07/22 16:12:53 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 1.0000e-02 eta: 22:29:13 time: 0.2259 data_time: 0.0316 memory: 6108 grad_norm: 5.5352 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6615 loss: 2.6615 2022/07/22 16:12:58 - mmengine - INFO - Epoch(train) [9][1920/3757] lr: 1.0000e-02 eta: 22:29:05 time: 0.2221 data_time: 0.0222 memory: 6108 grad_norm: 5.4612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5910 loss: 2.5910 2022/07/22 16:13:02 - mmengine - INFO - Epoch(train) [9][1940/3757] lr: 1.0000e-02 eta: 22:29:00 time: 0.2345 data_time: 0.0220 memory: 6108 grad_norm: 5.5799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3996 loss: 2.3996 2022/07/22 16:13:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:13:07 - mmengine - INFO - Epoch(train) [9][1960/3757] lr: 1.0000e-02 eta: 22:28:55 time: 0.2346 data_time: 0.0199 memory: 6108 grad_norm: 5.4740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4477 loss: 2.4477 2022/07/22 16:13:12 - mmengine - INFO - Epoch(train) [9][1980/3757] lr: 1.0000e-02 eta: 22:28:57 time: 0.2657 data_time: 0.0167 memory: 6108 grad_norm: 5.5000 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4314 loss: 2.4314 2022/07/22 16:13:17 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 1.0000e-02 eta: 22:28:52 time: 0.2314 data_time: 0.0197 memory: 6108 grad_norm: 5.4324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4196 loss: 2.4196 2022/07/22 16:13:22 - mmengine - INFO - Epoch(train) [9][2020/3757] lr: 1.0000e-02 eta: 22:28:45 time: 0.2277 data_time: 0.0176 memory: 6108 grad_norm: 5.3467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5249 loss: 2.5249 2022/07/22 16:13:26 - mmengine - INFO - Epoch(train) [9][2040/3757] lr: 1.0000e-02 eta: 22:28:39 time: 0.2287 data_time: 0.0353 memory: 6108 grad_norm: 5.6850 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5322 loss: 2.5322 2022/07/22 16:13:31 - mmengine - INFO - Epoch(train) [9][2060/3757] lr: 1.0000e-02 eta: 22:28:31 time: 0.2212 data_time: 0.0200 memory: 6108 grad_norm: 5.5632 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6876 loss: 2.6876 2022/07/22 16:13:35 - mmengine - INFO - Epoch(train) [9][2080/3757] lr: 1.0000e-02 eta: 22:28:24 time: 0.2224 data_time: 0.0207 memory: 6108 grad_norm: 5.5736 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5624 loss: 2.5624 2022/07/22 16:13:40 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 1.0000e-02 eta: 22:28:20 time: 0.2378 data_time: 0.0296 memory: 6108 grad_norm: 5.4111 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3003 loss: 2.3003 2022/07/22 16:13:44 - mmengine - INFO - Epoch(train) [9][2120/3757] lr: 1.0000e-02 eta: 22:28:12 time: 0.2232 data_time: 0.0247 memory: 6108 grad_norm: 5.3799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4592 loss: 2.4592 2022/07/22 16:13:49 - mmengine - INFO - Epoch(train) [9][2140/3757] lr: 1.0000e-02 eta: 22:28:04 time: 0.2210 data_time: 0.0189 memory: 6108 grad_norm: 5.3652 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3886 loss: 2.3886 2022/07/22 16:13:53 - mmengine - INFO - Epoch(train) [9][2160/3757] lr: 1.0000e-02 eta: 22:27:58 time: 0.2288 data_time: 0.0198 memory: 6108 grad_norm: 5.4650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5832 loss: 2.5832 2022/07/22 16:13:58 - mmengine - INFO - Epoch(train) [9][2180/3757] lr: 1.0000e-02 eta: 22:27:55 time: 0.2410 data_time: 0.0223 memory: 6108 grad_norm: 5.5871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4232 loss: 2.4232 2022/07/22 16:14:03 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 1.0000e-02 eta: 22:27:55 time: 0.2567 data_time: 0.0212 memory: 6108 grad_norm: 5.6297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2241 loss: 2.2241 2022/07/22 16:14:08 - mmengine - INFO - Epoch(train) [9][2220/3757] lr: 1.0000e-02 eta: 22:27:48 time: 0.2274 data_time: 0.0229 memory: 6108 grad_norm: 5.7215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5377 loss: 2.5377 2022/07/22 16:14:12 - mmengine - INFO - Epoch(train) [9][2240/3757] lr: 1.0000e-02 eta: 22:27:41 time: 0.2247 data_time: 0.0237 memory: 6108 grad_norm: 5.4814 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5021 loss: 2.5021 2022/07/22 16:14:17 - mmengine - INFO - Epoch(train) [9][2260/3757] lr: 1.0000e-02 eta: 22:27:38 time: 0.2425 data_time: 0.0454 memory: 6108 grad_norm: 5.7932 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4962 loss: 2.4962 2022/07/22 16:14:22 - mmengine - INFO - Epoch(train) [9][2280/3757] lr: 1.0000e-02 eta: 22:27:33 time: 0.2348 data_time: 0.0214 memory: 6108 grad_norm: 5.6210 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3884 loss: 2.3884 2022/07/22 16:14:26 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 1.0000e-02 eta: 22:27:27 time: 0.2313 data_time: 0.0338 memory: 6108 grad_norm: 5.4906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2825 loss: 2.2825 2022/07/22 16:14:31 - mmengine - INFO - Epoch(train) [9][2320/3757] lr: 1.0000e-02 eta: 22:27:25 time: 0.2474 data_time: 0.0460 memory: 6108 grad_norm: 5.8847 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5297 loss: 2.5297 2022/07/22 16:14:36 - mmengine - INFO - Epoch(train) [9][2340/3757] lr: 1.0000e-02 eta: 22:27:18 time: 0.2234 data_time: 0.0197 memory: 6108 grad_norm: 5.5692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7541 loss: 2.7541 2022/07/22 16:14:41 - mmengine - INFO - Epoch(train) [9][2360/3757] lr: 1.0000e-02 eta: 22:27:16 time: 0.2477 data_time: 0.0236 memory: 6108 grad_norm: 5.4846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3493 loss: 2.3493 2022/07/22 16:14:45 - mmengine - INFO - Epoch(train) [9][2380/3757] lr: 1.0000e-02 eta: 22:27:07 time: 0.2172 data_time: 0.0190 memory: 6108 grad_norm: 5.6759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1135 loss: 2.1135 2022/07/22 16:14:50 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 1.0000e-02 eta: 22:27:00 time: 0.2214 data_time: 0.0229 memory: 6108 grad_norm: 5.5516 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5634 loss: 2.5634 2022/07/22 16:14:55 - mmengine - INFO - Epoch(train) [9][2420/3757] lr: 1.0000e-02 eta: 22:26:57 time: 0.2435 data_time: 0.0216 memory: 6108 grad_norm: 5.6344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7228 loss: 2.7228 2022/07/22 16:14:59 - mmengine - INFO - Epoch(train) [9][2440/3757] lr: 1.0000e-02 eta: 22:26:48 time: 0.2193 data_time: 0.0254 memory: 6108 grad_norm: 5.5675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4024 loss: 2.4024 2022/07/22 16:15:04 - mmengine - INFO - Epoch(train) [9][2460/3757] lr: 1.0000e-02 eta: 22:26:45 time: 0.2426 data_time: 0.0208 memory: 6108 grad_norm: 5.5108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1290 loss: 2.1290 2022/07/22 16:15:08 - mmengine - INFO - Epoch(train) [9][2480/3757] lr: 1.0000e-02 eta: 22:26:40 time: 0.2330 data_time: 0.0219 memory: 6108 grad_norm: 5.5452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6256 loss: 2.6256 2022/07/22 16:15:13 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 1.0000e-02 eta: 22:26:32 time: 0.2198 data_time: 0.0209 memory: 6108 grad_norm: 5.5735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5137 loss: 2.5137 2022/07/22 16:15:17 - mmengine - INFO - Epoch(train) [9][2520/3757] lr: 1.0000e-02 eta: 22:26:25 time: 0.2265 data_time: 0.0218 memory: 6108 grad_norm: 5.5171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1762 loss: 2.1762 2022/07/22 16:15:22 - mmengine - INFO - Epoch(train) [9][2540/3757] lr: 1.0000e-02 eta: 22:26:24 time: 0.2518 data_time: 0.0264 memory: 6108 grad_norm: 5.5433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2613 loss: 2.2613 2022/07/22 16:15:27 - mmengine - INFO - Epoch(train) [9][2560/3757] lr: 1.0000e-02 eta: 22:26:19 time: 0.2325 data_time: 0.0208 memory: 6108 grad_norm: 5.3956 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5780 loss: 2.5780 2022/07/22 16:15:32 - mmengine - INFO - Epoch(train) [9][2580/3757] lr: 1.0000e-02 eta: 22:26:15 time: 0.2417 data_time: 0.0177 memory: 6108 grad_norm: 5.7824 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5231 loss: 2.5231 2022/07/22 16:15:37 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 1.0000e-02 eta: 22:26:11 time: 0.2385 data_time: 0.0227 memory: 6108 grad_norm: 5.6016 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4544 loss: 2.4544 2022/07/22 16:15:42 - mmengine - INFO - Epoch(train) [9][2620/3757] lr: 1.0000e-02 eta: 22:26:11 time: 0.2573 data_time: 0.0178 memory: 6108 grad_norm: 5.5106 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4215 loss: 2.4215 2022/07/22 16:15:46 - mmengine - INFO - Epoch(train) [9][2640/3757] lr: 1.0000e-02 eta: 22:26:02 time: 0.2130 data_time: 0.0229 memory: 6108 grad_norm: 5.5317 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2913 loss: 2.2913 2022/07/22 16:15:51 - mmengine - INFO - Epoch(train) [9][2660/3757] lr: 1.0000e-02 eta: 22:25:55 time: 0.2277 data_time: 0.0288 memory: 6108 grad_norm: 5.5338 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8736 loss: 2.8736 2022/07/22 16:15:55 - mmengine - INFO - Epoch(train) [9][2680/3757] lr: 1.0000e-02 eta: 22:25:50 time: 0.2338 data_time: 0.0189 memory: 6108 grad_norm: 5.4736 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4660 loss: 2.4660 2022/07/22 16:16:00 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 1.0000e-02 eta: 22:25:45 time: 0.2333 data_time: 0.0249 memory: 6108 grad_norm: 5.6860 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0687 loss: 3.0687 2022/07/22 16:16:04 - mmengine - INFO - Epoch(train) [9][2720/3757] lr: 1.0000e-02 eta: 22:25:37 time: 0.2183 data_time: 0.0193 memory: 6108 grad_norm: 5.6204 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7995 loss: 2.7995 2022/07/22 16:16:09 - mmengine - INFO - Epoch(train) [9][2740/3757] lr: 1.0000e-02 eta: 22:25:34 time: 0.2436 data_time: 0.0189 memory: 6108 grad_norm: 5.4884 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2327 loss: 2.2327 2022/07/22 16:16:14 - mmengine - INFO - Epoch(train) [9][2760/3757] lr: 1.0000e-02 eta: 22:25:29 time: 0.2348 data_time: 0.0228 memory: 6108 grad_norm: 5.5605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5660 loss: 2.5660 2022/07/22 16:16:18 - mmengine - INFO - Epoch(train) [9][2780/3757] lr: 1.0000e-02 eta: 22:25:21 time: 0.2214 data_time: 0.0257 memory: 6108 grad_norm: 5.5618 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7762 loss: 2.7762 2022/07/22 16:16:23 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 1.0000e-02 eta: 22:25:14 time: 0.2233 data_time: 0.0164 memory: 6108 grad_norm: 5.5977 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7105 loss: 2.7105 2022/07/22 16:16:28 - mmengine - INFO - Epoch(train) [9][2820/3757] lr: 1.0000e-02 eta: 22:25:09 time: 0.2343 data_time: 0.0201 memory: 6108 grad_norm: 5.5828 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4145 loss: 2.4145 2022/07/22 16:16:32 - mmengine - INFO - Epoch(train) [9][2840/3757] lr: 1.0000e-02 eta: 22:25:06 time: 0.2418 data_time: 0.0284 memory: 6108 grad_norm: 5.6691 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5424 loss: 2.5424 2022/07/22 16:16:37 - mmengine - INFO - Epoch(train) [9][2860/3757] lr: 1.0000e-02 eta: 22:25:02 time: 0.2393 data_time: 0.0190 memory: 6108 grad_norm: 5.5019 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3162 loss: 2.3162 2022/07/22 16:16:42 - mmengine - INFO - Epoch(train) [9][2880/3757] lr: 1.0000e-02 eta: 22:24:56 time: 0.2270 data_time: 0.0269 memory: 6108 grad_norm: 5.4623 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1963 loss: 2.1963 2022/07/22 16:16:47 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 1.0000e-02 eta: 22:24:52 time: 0.2407 data_time: 0.0232 memory: 6108 grad_norm: 5.5464 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3769 loss: 2.3769 2022/07/22 16:16:51 - mmengine - INFO - Epoch(train) [9][2920/3757] lr: 1.0000e-02 eta: 22:24:48 time: 0.2412 data_time: 0.0184 memory: 6108 grad_norm: 5.4092 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4100 loss: 2.4100 2022/07/22 16:16:56 - mmengine - INFO - Epoch(train) [9][2940/3757] lr: 1.0000e-02 eta: 22:24:43 time: 0.2301 data_time: 0.0174 memory: 6108 grad_norm: 5.7087 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3098 loss: 2.3098 2022/07/22 16:16:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:17:00 - mmengine - INFO - Epoch(train) [9][2960/3757] lr: 1.0000e-02 eta: 22:24:36 time: 0.2260 data_time: 0.0280 memory: 6108 grad_norm: 5.6146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5204 loss: 2.5204 2022/07/22 16:17:05 - mmengine - INFO - Epoch(train) [9][2980/3757] lr: 1.0000e-02 eta: 22:24:29 time: 0.2252 data_time: 0.0180 memory: 6108 grad_norm: 5.6374 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3429 loss: 2.3429 2022/07/22 16:17:09 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 1.0000e-02 eta: 22:24:22 time: 0.2231 data_time: 0.0240 memory: 6108 grad_norm: 5.5206 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2645 loss: 2.2645 2022/07/22 16:17:14 - mmengine - INFO - Epoch(train) [9][3020/3757] lr: 1.0000e-02 eta: 22:24:20 time: 0.2484 data_time: 0.0253 memory: 6108 grad_norm: 5.5752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7833 loss: 2.7833 2022/07/22 16:17:19 - mmengine - INFO - Epoch(train) [9][3040/3757] lr: 1.0000e-02 eta: 22:24:12 time: 0.2198 data_time: 0.0221 memory: 6108 grad_norm: 5.4561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4922 loss: 2.4922 2022/07/22 16:17:23 - mmengine - INFO - Epoch(train) [9][3060/3757] lr: 1.0000e-02 eta: 22:24:05 time: 0.2225 data_time: 0.0170 memory: 6108 grad_norm: 5.6857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5236 loss: 2.5236 2022/07/22 16:17:28 - mmengine - INFO - Epoch(train) [9][3080/3757] lr: 1.0000e-02 eta: 22:23:58 time: 0.2247 data_time: 0.0222 memory: 6108 grad_norm: 5.5097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4845 loss: 2.4845 2022/07/22 16:17:33 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 1.0000e-02 eta: 22:23:53 time: 0.2381 data_time: 0.0191 memory: 6108 grad_norm: 5.4973 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5402 loss: 2.5402 2022/07/22 16:17:37 - mmengine - INFO - Epoch(train) [9][3120/3757] lr: 1.0000e-02 eta: 22:23:46 time: 0.2237 data_time: 0.0228 memory: 6108 grad_norm: 5.4636 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.2003 loss: 2.2003 2022/07/22 16:17:42 - mmengine - INFO - Epoch(train) [9][3140/3757] lr: 1.0000e-02 eta: 22:23:43 time: 0.2428 data_time: 0.0190 memory: 6108 grad_norm: 5.5534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5448 loss: 2.5448 2022/07/22 16:17:46 - mmengine - INFO - Epoch(train) [9][3160/3757] lr: 1.0000e-02 eta: 22:23:36 time: 0.2256 data_time: 0.0230 memory: 6108 grad_norm: 5.7278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5699 loss: 2.5699 2022/07/22 16:17:51 - mmengine - INFO - Epoch(train) [9][3180/3757] lr: 1.0000e-02 eta: 22:23:30 time: 0.2259 data_time: 0.0181 memory: 6108 grad_norm: 5.4468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3471 loss: 2.3471 2022/07/22 16:17:56 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 1.0000e-02 eta: 22:23:28 time: 0.2509 data_time: 0.0530 memory: 6108 grad_norm: 5.7534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4673 loss: 2.4673 2022/07/22 16:18:01 - mmengine - INFO - Epoch(train) [9][3220/3757] lr: 1.0000e-02 eta: 22:23:24 time: 0.2360 data_time: 0.0184 memory: 6108 grad_norm: 5.5590 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4497 loss: 2.4497 2022/07/22 16:18:05 - mmengine - INFO - Epoch(train) [9][3240/3757] lr: 1.0000e-02 eta: 22:23:15 time: 0.2182 data_time: 0.0161 memory: 6108 grad_norm: 5.5770 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4309 loss: 2.4309 2022/07/22 16:18:10 - mmengine - INFO - Epoch(train) [9][3260/3757] lr: 1.0000e-02 eta: 22:23:09 time: 0.2245 data_time: 0.0205 memory: 6108 grad_norm: 5.4364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3088 loss: 2.3088 2022/07/22 16:18:14 - mmengine - INFO - Epoch(train) [9][3280/3757] lr: 1.0000e-02 eta: 22:23:03 time: 0.2335 data_time: 0.0220 memory: 6108 grad_norm: 5.4893 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6100 loss: 2.6100 2022/07/22 16:18:19 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 1.0000e-02 eta: 22:23:01 time: 0.2480 data_time: 0.0214 memory: 6108 grad_norm: 5.5295 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6225 loss: 2.6225 2022/07/22 16:18:24 - mmengine - INFO - Epoch(train) [9][3320/3757] lr: 1.0000e-02 eta: 22:22:54 time: 0.2244 data_time: 0.0288 memory: 6108 grad_norm: 5.6447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2381 loss: 2.2381 2022/07/22 16:18:28 - mmengine - INFO - Epoch(train) [9][3340/3757] lr: 1.0000e-02 eta: 22:22:47 time: 0.2227 data_time: 0.0161 memory: 6108 grad_norm: 5.5242 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4688 loss: 2.4688 2022/07/22 16:18:33 - mmengine - INFO - Epoch(train) [9][3360/3757] lr: 1.0000e-02 eta: 22:22:44 time: 0.2421 data_time: 0.0183 memory: 6108 grad_norm: 5.5207 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8186 loss: 2.8186 2022/07/22 16:18:37 - mmengine - INFO - Epoch(train) [9][3380/3757] lr: 1.0000e-02 eta: 22:22:36 time: 0.2229 data_time: 0.0201 memory: 6108 grad_norm: 5.4315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5748 loss: 2.5748 2022/07/22 16:18:42 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 1.0000e-02 eta: 22:22:32 time: 0.2357 data_time: 0.0219 memory: 6108 grad_norm: 5.5106 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4090 loss: 2.4090 2022/07/22 16:18:47 - mmengine - INFO - Epoch(train) [9][3420/3757] lr: 1.0000e-02 eta: 22:22:28 time: 0.2389 data_time: 0.0179 memory: 6108 grad_norm: 5.6556 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4828 loss: 2.4828 2022/07/22 16:18:52 - mmengine - INFO - Epoch(train) [9][3440/3757] lr: 1.0000e-02 eta: 22:22:23 time: 0.2325 data_time: 0.0292 memory: 6108 grad_norm: 5.6210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3919 loss: 2.3919 2022/07/22 16:18:56 - mmengine - INFO - Epoch(train) [9][3460/3757] lr: 1.0000e-02 eta: 22:22:15 time: 0.2212 data_time: 0.0207 memory: 6108 grad_norm: 5.3979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2804 loss: 2.2804 2022/07/22 16:19:01 - mmengine - INFO - Epoch(train) [9][3480/3757] lr: 1.0000e-02 eta: 22:22:16 time: 0.2655 data_time: 0.0762 memory: 6108 grad_norm: 5.4367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4480 loss: 2.4480 2022/07/22 16:19:06 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 1.0000e-02 eta: 22:22:07 time: 0.2132 data_time: 0.0157 memory: 6108 grad_norm: 5.5677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4115 loss: 2.4115 2022/07/22 16:19:10 - mmengine - INFO - Epoch(train) [9][3520/3757] lr: 1.0000e-02 eta: 22:22:02 time: 0.2326 data_time: 0.0214 memory: 6108 grad_norm: 5.5483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3911 loss: 2.3911 2022/07/22 16:19:15 - mmengine - INFO - Epoch(train) [9][3540/3757] lr: 1.0000e-02 eta: 22:21:56 time: 0.2289 data_time: 0.0198 memory: 6108 grad_norm: 5.6745 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6912 loss: 2.6912 2022/07/22 16:19:19 - mmengine - INFO - Epoch(train) [9][3560/3757] lr: 1.0000e-02 eta: 22:21:50 time: 0.2292 data_time: 0.0198 memory: 6108 grad_norm: 5.4897 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4307 loss: 2.4307 2022/07/22 16:19:24 - mmengine - INFO - Epoch(train) [9][3580/3757] lr: 1.0000e-02 eta: 22:21:42 time: 0.2198 data_time: 0.0194 memory: 6108 grad_norm: 5.5106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7341 loss: 2.7341 2022/07/22 16:19:28 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 1.0000e-02 eta: 22:21:35 time: 0.2224 data_time: 0.0193 memory: 6108 grad_norm: 5.5323 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4588 loss: 2.4588 2022/07/22 16:19:33 - mmengine - INFO - Epoch(train) [9][3620/3757] lr: 1.0000e-02 eta: 22:21:32 time: 0.2469 data_time: 0.0228 memory: 6108 grad_norm: 5.3878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2226 loss: 2.2226 2022/07/22 16:19:38 - mmengine - INFO - Epoch(train) [9][3640/3757] lr: 1.0000e-02 eta: 22:21:28 time: 0.2388 data_time: 0.0204 memory: 6108 grad_norm: 5.5832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5433 loss: 2.5433 2022/07/22 16:19:42 - mmengine - INFO - Epoch(train) [9][3660/3757] lr: 1.0000e-02 eta: 22:21:21 time: 0.2223 data_time: 0.0231 memory: 6108 grad_norm: 5.4252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3859 loss: 2.3859 2022/07/22 16:19:47 - mmengine - INFO - Epoch(train) [9][3680/3757] lr: 1.0000e-02 eta: 22:21:15 time: 0.2266 data_time: 0.0257 memory: 6108 grad_norm: 5.6271 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1970 loss: 2.1970 2022/07/22 16:19:52 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 1.0000e-02 eta: 22:21:12 time: 0.2480 data_time: 0.0219 memory: 6108 grad_norm: 5.5629 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/07/22 16:19:56 - mmengine - INFO - Epoch(train) [9][3720/3757] lr: 1.0000e-02 eta: 22:21:05 time: 0.2217 data_time: 0.0223 memory: 6108 grad_norm: 5.6006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4938 loss: 2.4938 2022/07/22 16:20:01 - mmengine - INFO - Epoch(train) [9][3740/3757] lr: 1.0000e-02 eta: 22:21:01 time: 0.2389 data_time: 0.0306 memory: 6108 grad_norm: 5.6059 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6195 loss: 2.6195 2022/07/22 16:20:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:20:04 - mmengine - INFO - Epoch(train) [9][3757/3757] lr: 1.0000e-02 eta: 22:21:01 time: 0.1910 data_time: 0.0187 memory: 6108 grad_norm: 5.6289 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.6105 loss: 2.6105 2022/07/22 16:20:10 - mmengine - INFO - Epoch(val) [9][20/310] eta: 0:01:20 time: 0.2778 data_time: 0.1967 memory: 1428 2022/07/22 16:20:14 - mmengine - INFO - Epoch(val) [9][40/310] eta: 0:00:50 time: 0.1880 data_time: 0.1086 memory: 1428 2022/07/22 16:20:18 - mmengine - INFO - Epoch(val) [9][60/310] eta: 0:00:53 time: 0.2152 data_time: 0.1394 memory: 1428 2022/07/22 16:20:23 - mmengine - INFO - Epoch(val) [9][80/310] eta: 0:00:52 time: 0.2290 data_time: 0.1457 memory: 1428 2022/07/22 16:20:26 - mmengine - INFO - Epoch(val) [9][100/310] eta: 0:00:40 time: 0.1946 data_time: 0.1184 memory: 1428 2022/07/22 16:20:31 - mmengine - INFO - Epoch(val) [9][120/310] eta: 0:00:45 time: 0.2371 data_time: 0.1587 memory: 1428 2022/07/22 16:20:36 - mmengine - INFO - Epoch(val) [9][140/310] eta: 0:00:38 time: 0.2269 data_time: 0.1505 memory: 1428 2022/07/22 16:20:40 - mmengine - INFO - Epoch(val) [9][160/310] eta: 0:00:32 time: 0.2182 data_time: 0.1440 memory: 1428 2022/07/22 16:20:44 - mmengine - INFO - Epoch(val) [9][180/310] eta: 0:00:28 time: 0.2173 data_time: 0.1421 memory: 1428 2022/07/22 16:20:49 - mmengine - INFO - Epoch(val) [9][200/310] eta: 0:00:22 time: 0.2061 data_time: 0.1311 memory: 1428 2022/07/22 16:20:53 - mmengine - INFO - Epoch(val) [9][220/310] eta: 0:00:18 time: 0.2022 data_time: 0.1273 memory: 1428 2022/07/22 16:20:57 - mmengine - INFO - Epoch(val) [9][240/310] eta: 0:00:14 time: 0.2100 data_time: 0.1341 memory: 1428 2022/07/22 16:21:01 - mmengine - INFO - Epoch(val) [9][260/310] eta: 0:00:11 time: 0.2309 data_time: 0.1589 memory: 1428 2022/07/22 16:21:05 - mmengine - INFO - Epoch(val) [9][280/310] eta: 0:00:05 time: 0.1953 data_time: 0.1205 memory: 1428 2022/07/22 16:21:10 - mmengine - INFO - Epoch(val) [9][300/310] eta: 0:00:02 time: 0.2184 data_time: 0.1492 memory: 1428 2022/07/22 16:21:13 - mmengine - INFO - Epoch(val) [9][310/310] acc/top1: 0.4826 acc/top5: 0.7501 acc/mean1: 0.4825 2022/07/22 16:21:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/07/22 16:21:16 - mmengine - INFO - The best checkpoint with 0.4826 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/07/22 16:21:21 - mmengine - INFO - Epoch(train) [10][20/3757] lr: 1.0000e-02 eta: 22:20:19 time: 0.2721 data_time: 0.0821 memory: 6108 grad_norm: 5.6018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4356 loss: 2.4356 2022/07/22 16:21:26 - mmengine - INFO - Epoch(train) [10][40/3757] lr: 1.0000e-02 eta: 22:20:11 time: 0.2183 data_time: 0.0198 memory: 6108 grad_norm: 5.4863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4899 loss: 2.4899 2022/07/22 16:21:31 - mmengine - INFO - Epoch(train) [10][60/3757] lr: 1.0000e-02 eta: 22:20:12 time: 0.2610 data_time: 0.0449 memory: 6108 grad_norm: 5.4567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5428 loss: 2.5428 2022/07/22 16:21:35 - mmengine - INFO - Epoch(train) [10][80/3757] lr: 1.0000e-02 eta: 22:20:04 time: 0.2198 data_time: 0.0195 memory: 6108 grad_norm: 5.4808 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2545 loss: 2.2545 2022/07/22 16:21:40 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 1.0000e-02 eta: 22:20:02 time: 0.2505 data_time: 0.0559 memory: 6108 grad_norm: 5.4720 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7546 loss: 2.7546 2022/07/22 16:21:45 - mmengine - INFO - Epoch(train) [10][120/3757] lr: 1.0000e-02 eta: 22:19:54 time: 0.2194 data_time: 0.0231 memory: 6108 grad_norm: 5.7485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7101 loss: 2.7101 2022/07/22 16:21:49 - mmengine - INFO - Epoch(train) [10][140/3757] lr: 1.0000e-02 eta: 22:19:48 time: 0.2267 data_time: 0.0228 memory: 6108 grad_norm: 5.6531 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6119 loss: 2.6119 2022/07/22 16:21:55 - mmengine - INFO - Epoch(train) [10][160/3757] lr: 1.0000e-02 eta: 22:19:48 time: 0.2597 data_time: 0.0199 memory: 6108 grad_norm: 5.5906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4242 loss: 2.4242 2022/07/22 16:21:59 - mmengine - INFO - Epoch(train) [10][180/3757] lr: 1.0000e-02 eta: 22:19:43 time: 0.2314 data_time: 0.0257 memory: 6108 grad_norm: 5.7559 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5112 loss: 2.5112 2022/07/22 16:22:01 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:22:04 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 1.0000e-02 eta: 22:19:39 time: 0.2420 data_time: 0.0181 memory: 6108 grad_norm: 5.5735 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3623 loss: 2.3623 2022/07/22 16:22:09 - mmengine - INFO - Epoch(train) [10][220/3757] lr: 1.0000e-02 eta: 22:19:33 time: 0.2271 data_time: 0.0270 memory: 6108 grad_norm: 5.4872 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2487 loss: 2.2487 2022/07/22 16:22:13 - mmengine - INFO - Epoch(train) [10][240/3757] lr: 1.0000e-02 eta: 22:19:28 time: 0.2342 data_time: 0.0266 memory: 6108 grad_norm: 5.5707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3076 loss: 2.3076 2022/07/22 16:22:18 - mmengine - INFO - Epoch(train) [10][260/3757] lr: 1.0000e-02 eta: 22:19:20 time: 0.2204 data_time: 0.0243 memory: 6108 grad_norm: 5.4646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1489 loss: 2.1489 2022/07/22 16:22:22 - mmengine - INFO - Epoch(train) [10][280/3757] lr: 1.0000e-02 eta: 22:19:15 time: 0.2308 data_time: 0.0180 memory: 6108 grad_norm: 5.6826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2539 loss: 2.2539 2022/07/22 16:22:27 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 1.0000e-02 eta: 22:19:14 time: 0.2571 data_time: 0.0351 memory: 6108 grad_norm: 5.5216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0013 loss: 2.0013 2022/07/22 16:22:33 - mmengine - INFO - Epoch(train) [10][320/3757] lr: 1.0000e-02 eta: 22:19:14 time: 0.2554 data_time: 0.0150 memory: 6108 grad_norm: 5.6110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4369 loss: 2.4369 2022/07/22 16:22:37 - mmengine - INFO - Epoch(train) [10][340/3757] lr: 1.0000e-02 eta: 22:19:06 time: 0.2221 data_time: 0.0232 memory: 6108 grad_norm: 5.3624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5118 loss: 2.5118 2022/07/22 16:22:42 - mmengine - INFO - Epoch(train) [10][360/3757] lr: 1.0000e-02 eta: 22:19:05 time: 0.2509 data_time: 0.0206 memory: 6108 grad_norm: 5.4307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9896 loss: 1.9896 2022/07/22 16:22:47 - mmengine - INFO - Epoch(train) [10][380/3757] lr: 1.0000e-02 eta: 22:18:59 time: 0.2274 data_time: 0.0248 memory: 6108 grad_norm: 5.6227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2706 loss: 2.2706 2022/07/22 16:22:51 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 1.0000e-02 eta: 22:18:56 time: 0.2461 data_time: 0.0191 memory: 6108 grad_norm: 5.5478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2454 loss: 2.2454 2022/07/22 16:22:56 - mmengine - INFO - Epoch(train) [10][420/3757] lr: 1.0000e-02 eta: 22:18:48 time: 0.2172 data_time: 0.0189 memory: 6108 grad_norm: 5.4707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3465 loss: 2.3465 2022/07/22 16:23:01 - mmengine - INFO - Epoch(train) [10][440/3757] lr: 1.0000e-02 eta: 22:18:45 time: 0.2438 data_time: 0.0192 memory: 6108 grad_norm: 5.6918 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6067 loss: 2.6067 2022/07/22 16:23:05 - mmengine - INFO - Epoch(train) [10][460/3757] lr: 1.0000e-02 eta: 22:18:39 time: 0.2281 data_time: 0.0225 memory: 6108 grad_norm: 5.6652 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5279 loss: 2.5279 2022/07/22 16:23:10 - mmengine - INFO - Epoch(train) [10][480/3757] lr: 1.0000e-02 eta: 22:18:32 time: 0.2282 data_time: 0.0198 memory: 6108 grad_norm: 5.5567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3677 loss: 2.3677 2022/07/22 16:23:14 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 1.0000e-02 eta: 22:18:27 time: 0.2318 data_time: 0.0181 memory: 6108 grad_norm: 5.7268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3599 loss: 2.3599 2022/07/22 16:23:19 - mmengine - INFO - Epoch(train) [10][520/3757] lr: 1.0000e-02 eta: 22:18:20 time: 0.2257 data_time: 0.0249 memory: 6108 grad_norm: 5.5997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8063 loss: 2.8063 2022/07/22 16:23:23 - mmengine - INFO - Epoch(train) [10][540/3757] lr: 1.0000e-02 eta: 22:18:13 time: 0.2197 data_time: 0.0239 memory: 6108 grad_norm: 5.5062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/22 16:23:28 - mmengine - INFO - Epoch(train) [10][560/3757] lr: 1.0000e-02 eta: 22:18:12 time: 0.2545 data_time: 0.0206 memory: 6108 grad_norm: 5.6972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6028 loss: 2.6028 2022/07/22 16:23:34 - mmengine - INFO - Epoch(train) [10][580/3757] lr: 1.0000e-02 eta: 22:18:11 time: 0.2537 data_time: 0.0177 memory: 6108 grad_norm: 5.6889 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5143 loss: 2.5143 2022/07/22 16:23:38 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 1.0000e-02 eta: 22:18:03 time: 0.2205 data_time: 0.0166 memory: 6108 grad_norm: 5.6688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8174 loss: 2.8174 2022/07/22 16:23:42 - mmengine - INFO - Epoch(train) [10][620/3757] lr: 1.0000e-02 eta: 22:17:56 time: 0.2216 data_time: 0.0191 memory: 6108 grad_norm: 5.5578 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2660 loss: 2.2660 2022/07/22 16:23:47 - mmengine - INFO - Epoch(train) [10][640/3757] lr: 1.0000e-02 eta: 22:17:50 time: 0.2281 data_time: 0.0250 memory: 6108 grad_norm: 5.5295 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3637 loss: 2.3637 2022/07/22 16:23:52 - mmengine - INFO - Epoch(train) [10][660/3757] lr: 1.0000e-02 eta: 22:17:50 time: 0.2597 data_time: 0.0193 memory: 6108 grad_norm: 5.5133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2393 loss: 2.2393 2022/07/22 16:23:57 - mmengine - INFO - Epoch(train) [10][680/3757] lr: 1.0000e-02 eta: 22:17:44 time: 0.2314 data_time: 0.0176 memory: 6108 grad_norm: 5.3851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1892 loss: 2.1892 2022/07/22 16:24:01 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 1.0000e-02 eta: 22:17:40 time: 0.2351 data_time: 0.0235 memory: 6108 grad_norm: 5.7787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4998 loss: 2.4998 2022/07/22 16:24:06 - mmengine - INFO - Epoch(train) [10][720/3757] lr: 1.0000e-02 eta: 22:17:36 time: 0.2387 data_time: 0.0156 memory: 6108 grad_norm: 5.3753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2183 loss: 2.2183 2022/07/22 16:24:11 - mmengine - INFO - Epoch(train) [10][740/3757] lr: 1.0000e-02 eta: 22:17:35 time: 0.2582 data_time: 0.0162 memory: 6108 grad_norm: 5.6413 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5105 loss: 2.5105 2022/07/22 16:24:16 - mmengine - INFO - Epoch(train) [10][760/3757] lr: 1.0000e-02 eta: 22:17:28 time: 0.2233 data_time: 0.0208 memory: 6108 grad_norm: 5.6846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3688 loss: 2.3688 2022/07/22 16:24:20 - mmengine - INFO - Epoch(train) [10][780/3757] lr: 1.0000e-02 eta: 22:17:22 time: 0.2264 data_time: 0.0196 memory: 6108 grad_norm: 5.5139 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2240 loss: 2.2240 2022/07/22 16:24:25 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 1.0000e-02 eta: 22:17:14 time: 0.2215 data_time: 0.0201 memory: 6108 grad_norm: 5.5504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0418 loss: 2.0418 2022/07/22 16:24:30 - mmengine - INFO - Epoch(train) [10][820/3757] lr: 1.0000e-02 eta: 22:17:11 time: 0.2417 data_time: 0.0268 memory: 6108 grad_norm: 5.5366 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5002 loss: 2.5002 2022/07/22 16:24:34 - mmengine - INFO - Epoch(train) [10][840/3757] lr: 1.0000e-02 eta: 22:17:06 time: 0.2313 data_time: 0.0240 memory: 6108 grad_norm: 5.5714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4782 loss: 2.4782 2022/07/22 16:24:39 - mmengine - INFO - Epoch(train) [10][860/3757] lr: 1.0000e-02 eta: 22:17:02 time: 0.2409 data_time: 0.0205 memory: 6108 grad_norm: 5.5405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2728 loss: 2.2728 2022/07/22 16:24:44 - mmengine - INFO - Epoch(train) [10][880/3757] lr: 1.0000e-02 eta: 22:16:57 time: 0.2345 data_time: 0.0231 memory: 6108 grad_norm: 5.6484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4075 loss: 2.4075 2022/07/22 16:24:48 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 1.0000e-02 eta: 22:16:50 time: 0.2230 data_time: 0.0194 memory: 6108 grad_norm: 5.7052 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4644 loss: 2.4644 2022/07/22 16:24:54 - mmengine - INFO - Epoch(train) [10][920/3757] lr: 1.0000e-02 eta: 22:16:50 time: 0.2601 data_time: 0.0206 memory: 6108 grad_norm: 5.5673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2371 loss: 2.2371 2022/07/22 16:24:58 - mmengine - INFO - Epoch(train) [10][940/3757] lr: 1.0000e-02 eta: 22:16:45 time: 0.2341 data_time: 0.0182 memory: 6108 grad_norm: 5.5541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2420 loss: 2.2420 2022/07/22 16:25:03 - mmengine - INFO - Epoch(train) [10][960/3757] lr: 1.0000e-02 eta: 22:16:38 time: 0.2208 data_time: 0.0175 memory: 6108 grad_norm: 5.5898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2640 loss: 2.2640 2022/07/22 16:25:07 - mmengine - INFO - Epoch(train) [10][980/3757] lr: 1.0000e-02 eta: 22:16:34 time: 0.2406 data_time: 0.0250 memory: 6108 grad_norm: 5.5819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0996 loss: 2.0996 2022/07/22 16:25:12 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 1.0000e-02 eta: 22:16:30 time: 0.2370 data_time: 0.0190 memory: 6108 grad_norm: 5.6314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4274 loss: 2.4274 2022/07/22 16:25:17 - mmengine - INFO - Epoch(train) [10][1020/3757] lr: 1.0000e-02 eta: 22:16:22 time: 0.2181 data_time: 0.0231 memory: 6108 grad_norm: 5.4938 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3132 loss: 2.3132 2022/07/22 16:25:22 - mmengine - INFO - Epoch(train) [10][1040/3757] lr: 1.0000e-02 eta: 22:16:20 time: 0.2532 data_time: 0.0585 memory: 6108 grad_norm: 5.6971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2675 loss: 2.2675 2022/07/22 16:25:26 - mmengine - INFO - Epoch(train) [10][1060/3757] lr: 1.0000e-02 eta: 22:16:13 time: 0.2204 data_time: 0.0218 memory: 6108 grad_norm: 5.4275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4647 loss: 2.4647 2022/07/22 16:25:31 - mmengine - INFO - Epoch(train) [10][1080/3757] lr: 1.0000e-02 eta: 22:16:07 time: 0.2287 data_time: 0.0174 memory: 6108 grad_norm: 5.5863 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4362 loss: 2.4362 2022/07/22 16:25:36 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 1.0000e-02 eta: 22:16:07 time: 0.2602 data_time: 0.0205 memory: 6108 grad_norm: 5.6047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6214 loss: 2.6214 2022/07/22 16:25:40 - mmengine - INFO - Epoch(train) [10][1120/3757] lr: 1.0000e-02 eta: 22:16:00 time: 0.2224 data_time: 0.0199 memory: 6108 grad_norm: 5.6036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3138 loss: 2.3138 2022/07/22 16:25:45 - mmengine - INFO - Epoch(train) [10][1140/3757] lr: 1.0000e-02 eta: 22:15:52 time: 0.2215 data_time: 0.0184 memory: 6108 grad_norm: 5.6438 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2970 loss: 2.2970 2022/07/22 16:25:49 - mmengine - INFO - Epoch(train) [10][1160/3757] lr: 1.0000e-02 eta: 22:15:44 time: 0.2170 data_time: 0.0211 memory: 6108 grad_norm: 5.5746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9841 loss: 1.9841 2022/07/22 16:25:54 - mmengine - INFO - Epoch(train) [10][1180/3757] lr: 1.0000e-02 eta: 22:15:45 time: 0.2616 data_time: 0.0264 memory: 6108 grad_norm: 5.5925 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4679 loss: 2.4679 2022/07/22 16:25:56 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:25:59 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 1.0000e-02 eta: 22:15:37 time: 0.2213 data_time: 0.0173 memory: 6108 grad_norm: 5.5273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5438 loss: 2.5438 2022/07/22 16:26:03 - mmengine - INFO - Epoch(train) [10][1220/3757] lr: 1.0000e-02 eta: 22:15:33 time: 0.2382 data_time: 0.0173 memory: 6108 grad_norm: 5.6119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3729 loss: 2.3729 2022/07/22 16:26:08 - mmengine - INFO - Epoch(train) [10][1240/3757] lr: 1.0000e-02 eta: 22:15:26 time: 0.2255 data_time: 0.0250 memory: 6108 grad_norm: 5.6471 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4295 loss: 2.4295 2022/07/22 16:26:13 - mmengine - INFO - Epoch(train) [10][1260/3757] lr: 1.0000e-02 eta: 22:15:22 time: 0.2370 data_time: 0.0258 memory: 6108 grad_norm: 5.3743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4894 loss: 2.4894 2022/07/22 16:26:17 - mmengine - INFO - Epoch(train) [10][1280/3757] lr: 1.0000e-02 eta: 22:15:15 time: 0.2214 data_time: 0.0203 memory: 6108 grad_norm: 5.4395 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2896 loss: 2.2896 2022/07/22 16:26:22 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 1.0000e-02 eta: 22:15:13 time: 0.2500 data_time: 0.0350 memory: 6108 grad_norm: 5.5222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2979 loss: 2.2979 2022/07/22 16:26:27 - mmengine - INFO - Epoch(train) [10][1320/3757] lr: 1.0000e-02 eta: 22:15:07 time: 0.2294 data_time: 0.0310 memory: 6108 grad_norm: 5.4706 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4358 loss: 2.4358 2022/07/22 16:26:32 - mmengine - INFO - Epoch(train) [10][1340/3757] lr: 1.0000e-02 eta: 22:15:03 time: 0.2384 data_time: 0.0241 memory: 6108 grad_norm: 5.4965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3850 loss: 2.3850 2022/07/22 16:26:36 - mmengine - INFO - Epoch(train) [10][1360/3757] lr: 1.0000e-02 eta: 22:14:56 time: 0.2220 data_time: 0.0251 memory: 6108 grad_norm: 5.4468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5758 loss: 2.5758 2022/07/22 16:26:40 - mmengine - INFO - Epoch(train) [10][1380/3757] lr: 1.0000e-02 eta: 22:14:48 time: 0.2216 data_time: 0.0237 memory: 6108 grad_norm: 5.6729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3308 loss: 2.3308 2022/07/22 16:26:45 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 1.0000e-02 eta: 22:14:46 time: 0.2488 data_time: 0.0208 memory: 6108 grad_norm: 5.6967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3503 loss: 2.3503 2022/07/22 16:26:50 - mmengine - INFO - Epoch(train) [10][1420/3757] lr: 1.0000e-02 eta: 22:14:39 time: 0.2229 data_time: 0.0217 memory: 6108 grad_norm: 5.7387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6439 loss: 2.6439 2022/07/22 16:26:55 - mmengine - INFO - Epoch(train) [10][1440/3757] lr: 1.0000e-02 eta: 22:14:40 time: 0.2622 data_time: 0.0354 memory: 6108 grad_norm: 5.5804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3955 loss: 2.3955 2022/07/22 16:27:00 - mmengine - INFO - Epoch(train) [10][1460/3757] lr: 1.0000e-02 eta: 22:14:35 time: 0.2347 data_time: 0.0238 memory: 6108 grad_norm: 5.5382 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7440 loss: 2.7440 2022/07/22 16:27:05 - mmengine - INFO - Epoch(train) [10][1480/3757] lr: 1.0000e-02 eta: 22:14:35 time: 0.2579 data_time: 0.0482 memory: 6108 grad_norm: 5.3510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7583 loss: 2.7583 2022/07/22 16:27:10 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 1.0000e-02 eta: 22:14:31 time: 0.2391 data_time: 0.0165 memory: 6108 grad_norm: 5.5269 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2757 loss: 2.2757 2022/07/22 16:27:14 - mmengine - INFO - Epoch(train) [10][1520/3757] lr: 1.0000e-02 eta: 22:14:26 time: 0.2342 data_time: 0.0185 memory: 6108 grad_norm: 5.5638 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5163 loss: 2.5163 2022/07/22 16:27:19 - mmengine - INFO - Epoch(train) [10][1540/3757] lr: 1.0000e-02 eta: 22:14:19 time: 0.2267 data_time: 0.0249 memory: 6108 grad_norm: 5.4013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3020 loss: 2.3020 2022/07/22 16:27:23 - mmengine - INFO - Epoch(train) [10][1560/3757] lr: 1.0000e-02 eta: 22:14:12 time: 0.2199 data_time: 0.0206 memory: 6108 grad_norm: 5.4887 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5424 loss: 2.5424 2022/07/22 16:27:28 - mmengine - INFO - Epoch(train) [10][1580/3757] lr: 1.0000e-02 eta: 22:14:06 time: 0.2305 data_time: 0.0245 memory: 6108 grad_norm: 5.5511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4593 loss: 2.4593 2022/07/22 16:27:33 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 1.0000e-02 eta: 22:14:03 time: 0.2447 data_time: 0.0226 memory: 6108 grad_norm: 5.6653 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1575 loss: 2.1575 2022/07/22 16:27:37 - mmengine - INFO - Epoch(train) [10][1620/3757] lr: 1.0000e-02 eta: 22:13:56 time: 0.2237 data_time: 0.0210 memory: 6108 grad_norm: 5.5063 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3416 loss: 2.3416 2022/07/22 16:27:42 - mmengine - INFO - Epoch(train) [10][1640/3757] lr: 1.0000e-02 eta: 22:13:49 time: 0.2216 data_time: 0.0196 memory: 6108 grad_norm: 5.6072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6077 loss: 2.6077 2022/07/22 16:27:47 - mmengine - INFO - Epoch(train) [10][1660/3757] lr: 1.0000e-02 eta: 22:13:47 time: 0.2484 data_time: 0.0252 memory: 6108 grad_norm: 5.5113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3880 loss: 2.3880 2022/07/22 16:27:52 - mmengine - INFO - Epoch(train) [10][1680/3757] lr: 1.0000e-02 eta: 22:13:44 time: 0.2446 data_time: 0.0200 memory: 6108 grad_norm: 5.6961 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4648 loss: 2.4648 2022/07/22 16:27:56 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 1.0000e-02 eta: 22:13:40 time: 0.2391 data_time: 0.0161 memory: 6108 grad_norm: 5.5001 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5796 loss: 2.5796 2022/07/22 16:28:01 - mmengine - INFO - Epoch(train) [10][1720/3757] lr: 1.0000e-02 eta: 22:13:33 time: 0.2241 data_time: 0.0218 memory: 6108 grad_norm: 5.5592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5326 loss: 2.5326 2022/07/22 16:28:06 - mmengine - INFO - Epoch(train) [10][1740/3757] lr: 1.0000e-02 eta: 22:13:30 time: 0.2429 data_time: 0.0224 memory: 6108 grad_norm: 5.4556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3744 loss: 2.3744 2022/07/22 16:28:11 - mmengine - INFO - Epoch(train) [10][1760/3757] lr: 1.0000e-02 eta: 22:13:25 time: 0.2365 data_time: 0.0225 memory: 6108 grad_norm: 5.5340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5095 loss: 2.5095 2022/07/22 16:28:15 - mmengine - INFO - Epoch(train) [10][1780/3757] lr: 1.0000e-02 eta: 22:13:19 time: 0.2260 data_time: 0.0198 memory: 6108 grad_norm: 5.3975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0933 loss: 2.0933 2022/07/22 16:28:20 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 1.0000e-02 eta: 22:13:15 time: 0.2399 data_time: 0.0389 memory: 6108 grad_norm: 5.4567 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4706 loss: 2.4706 2022/07/22 16:28:24 - mmengine - INFO - Epoch(train) [10][1820/3757] lr: 1.0000e-02 eta: 22:13:08 time: 0.2232 data_time: 0.0150 memory: 6108 grad_norm: 5.4221 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4252 loss: 2.4252 2022/07/22 16:28:29 - mmengine - INFO - Epoch(train) [10][1840/3757] lr: 1.0000e-02 eta: 22:13:01 time: 0.2218 data_time: 0.0281 memory: 6108 grad_norm: 5.5685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3425 loss: 2.3425 2022/07/22 16:28:34 - mmengine - INFO - Epoch(train) [10][1860/3757] lr: 1.0000e-02 eta: 22:12:58 time: 0.2437 data_time: 0.0186 memory: 6108 grad_norm: 5.4500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2214 loss: 2.2214 2022/07/22 16:28:38 - mmengine - INFO - Epoch(train) [10][1880/3757] lr: 1.0000e-02 eta: 22:12:53 time: 0.2368 data_time: 0.0222 memory: 6108 grad_norm: 5.4421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1204 loss: 2.1204 2022/07/22 16:28:43 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 1.0000e-02 eta: 22:12:51 time: 0.2465 data_time: 0.0253 memory: 6108 grad_norm: 5.6602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3173 loss: 2.3173 2022/07/22 16:28:48 - mmengine - INFO - Epoch(train) [10][1920/3757] lr: 1.0000e-02 eta: 22:12:44 time: 0.2221 data_time: 0.0214 memory: 6108 grad_norm: 5.4871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5410 loss: 2.5410 2022/07/22 16:28:53 - mmengine - INFO - Epoch(train) [10][1940/3757] lr: 1.0000e-02 eta: 22:12:40 time: 0.2412 data_time: 0.0256 memory: 6108 grad_norm: 5.4781 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4393 loss: 2.4393 2022/07/22 16:28:57 - mmengine - INFO - Epoch(train) [10][1960/3757] lr: 1.0000e-02 eta: 22:12:33 time: 0.2225 data_time: 0.0301 memory: 6108 grad_norm: 5.5802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4345 loss: 2.4345 2022/07/22 16:29:02 - mmengine - INFO - Epoch(train) [10][1980/3757] lr: 1.0000e-02 eta: 22:12:26 time: 0.2218 data_time: 0.0207 memory: 6108 grad_norm: 5.5196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4638 loss: 2.4638 2022/07/22 16:29:06 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 1.0000e-02 eta: 22:12:19 time: 0.2266 data_time: 0.0186 memory: 6108 grad_norm: 5.6592 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5059 loss: 2.5059 2022/07/22 16:29:12 - mmengine - INFO - Epoch(train) [10][2020/3757] lr: 1.0000e-02 eta: 22:12:25 time: 0.2876 data_time: 0.0297 memory: 6108 grad_norm: 5.5570 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7558 loss: 2.7558 2022/07/22 16:29:16 - mmengine - INFO - Epoch(train) [10][2040/3757] lr: 1.0000e-02 eta: 22:12:16 time: 0.2127 data_time: 0.0170 memory: 6108 grad_norm: 5.5070 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5858 loss: 2.5858 2022/07/22 16:29:20 - mmengine - INFO - Epoch(train) [10][2060/3757] lr: 1.0000e-02 eta: 22:12:08 time: 0.2217 data_time: 0.0206 memory: 6108 grad_norm: 5.5149 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6770 loss: 2.6770 2022/07/22 16:29:25 - mmengine - INFO - Epoch(train) [10][2080/3757] lr: 1.0000e-02 eta: 22:12:01 time: 0.2212 data_time: 0.0193 memory: 6108 grad_norm: 5.5065 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3008 loss: 2.3008 2022/07/22 16:29:29 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 1.0000e-02 eta: 22:11:54 time: 0.2230 data_time: 0.0197 memory: 6108 grad_norm: 5.5611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1935 loss: 2.1935 2022/07/22 16:29:34 - mmengine - INFO - Epoch(train) [10][2120/3757] lr: 1.0000e-02 eta: 22:11:49 time: 0.2315 data_time: 0.0209 memory: 6108 grad_norm: 5.6893 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5594 loss: 2.5594 2022/07/22 16:29:39 - mmengine - INFO - Epoch(train) [10][2140/3757] lr: 1.0000e-02 eta: 22:11:43 time: 0.2329 data_time: 0.0205 memory: 6108 grad_norm: 5.6700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4640 loss: 2.4640 2022/07/22 16:29:43 - mmengine - INFO - Epoch(train) [10][2160/3757] lr: 1.0000e-02 eta: 22:11:36 time: 0.2231 data_time: 0.0195 memory: 6108 grad_norm: 5.6786 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1454 loss: 2.1454 2022/07/22 16:29:48 - mmengine - INFO - Epoch(train) [10][2180/3757] lr: 1.0000e-02 eta: 22:11:33 time: 0.2410 data_time: 0.0194 memory: 6108 grad_norm: 5.4806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5276 loss: 2.5276 2022/07/22 16:29:50 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:29:53 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 1.0000e-02 eta: 22:11:33 time: 0.2621 data_time: 0.0222 memory: 6108 grad_norm: 5.6820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5225 loss: 2.5225 2022/07/22 16:29:58 - mmengine - INFO - Epoch(train) [10][2220/3757] lr: 1.0000e-02 eta: 22:11:27 time: 0.2270 data_time: 0.0199 memory: 6108 grad_norm: 5.5937 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3786 loss: 2.3786 2022/07/22 16:30:02 - mmengine - INFO - Epoch(train) [10][2240/3757] lr: 1.0000e-02 eta: 22:11:22 time: 0.2357 data_time: 0.0153 memory: 6108 grad_norm: 5.5456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6715 loss: 2.6715 2022/07/22 16:30:08 - mmengine - INFO - Epoch(train) [10][2260/3757] lr: 1.0000e-02 eta: 22:11:21 time: 0.2514 data_time: 0.0181 memory: 6108 grad_norm: 5.6464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4845 loss: 2.4845 2022/07/22 16:30:12 - mmengine - INFO - Epoch(train) [10][2280/3757] lr: 1.0000e-02 eta: 22:11:18 time: 0.2455 data_time: 0.0231 memory: 6108 grad_norm: 5.5966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4808 loss: 2.4808 2022/07/22 16:30:17 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 1.0000e-02 eta: 22:11:11 time: 0.2215 data_time: 0.0170 memory: 6108 grad_norm: 5.4956 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1956 loss: 2.1956 2022/07/22 16:30:22 - mmengine - INFO - Epoch(train) [10][2320/3757] lr: 1.0000e-02 eta: 22:11:08 time: 0.2472 data_time: 0.0230 memory: 6108 grad_norm: 5.6032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4808 loss: 2.4808 2022/07/22 16:30:26 - mmengine - INFO - Epoch(train) [10][2340/3757] lr: 1.0000e-02 eta: 22:11:02 time: 0.2261 data_time: 0.0263 memory: 6108 grad_norm: 5.5706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2454 loss: 2.2454 2022/07/22 16:30:32 - mmengine - INFO - Epoch(train) [10][2360/3757] lr: 1.0000e-02 eta: 22:11:03 time: 0.2671 data_time: 0.0178 memory: 6108 grad_norm: 5.5427 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5959 loss: 2.5959 2022/07/22 16:30:36 - mmengine - INFO - Epoch(train) [10][2380/3757] lr: 1.0000e-02 eta: 22:10:55 time: 0.2183 data_time: 0.0188 memory: 6108 grad_norm: 5.5367 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2059 loss: 2.2059 2022/07/22 16:30:41 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 1.0000e-02 eta: 22:10:52 time: 0.2430 data_time: 0.0198 memory: 6108 grad_norm: 5.5904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3674 loss: 2.3674 2022/07/22 16:30:45 - mmengine - INFO - Epoch(train) [10][2420/3757] lr: 1.0000e-02 eta: 22:10:45 time: 0.2206 data_time: 0.0191 memory: 6108 grad_norm: 5.4390 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3342 loss: 2.3342 2022/07/22 16:30:51 - mmengine - INFO - Epoch(train) [10][2440/3757] lr: 1.0000e-02 eta: 22:10:46 time: 0.2682 data_time: 0.0198 memory: 6108 grad_norm: 5.5287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2280 loss: 2.2280 2022/07/22 16:30:55 - mmengine - INFO - Epoch(train) [10][2460/3757] lr: 1.0000e-02 eta: 22:10:40 time: 0.2297 data_time: 0.0235 memory: 6108 grad_norm: 5.6665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4572 loss: 2.4572 2022/07/22 16:31:00 - mmengine - INFO - Epoch(train) [10][2480/3757] lr: 1.0000e-02 eta: 22:10:34 time: 0.2275 data_time: 0.0303 memory: 6108 grad_norm: 5.5970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4054 loss: 2.4054 2022/07/22 16:31:04 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 1.0000e-02 eta: 22:10:26 time: 0.2163 data_time: 0.0239 memory: 6108 grad_norm: 5.5770 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2307 loss: 2.2307 2022/07/22 16:31:09 - mmengine - INFO - Epoch(train) [10][2520/3757] lr: 1.0000e-02 eta: 22:10:24 time: 0.2508 data_time: 0.0256 memory: 6108 grad_norm: 5.6688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6197 loss: 2.6197 2022/07/22 16:31:14 - mmengine - INFO - Epoch(train) [10][2540/3757] lr: 1.0000e-02 eta: 22:10:23 time: 0.2545 data_time: 0.0182 memory: 6108 grad_norm: 5.6384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0813 loss: 2.0813 2022/07/22 16:31:19 - mmengine - INFO - Epoch(train) [10][2560/3757] lr: 1.0000e-02 eta: 22:10:16 time: 0.2230 data_time: 0.0221 memory: 6108 grad_norm: 5.4421 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4875 loss: 2.4875 2022/07/22 16:31:23 - mmengine - INFO - Epoch(train) [10][2580/3757] lr: 1.0000e-02 eta: 22:10:10 time: 0.2269 data_time: 0.0248 memory: 6108 grad_norm: 5.3704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4877 loss: 2.4877 2022/07/22 16:31:28 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 1.0000e-02 eta: 22:10:08 time: 0.2503 data_time: 0.0212 memory: 6108 grad_norm: 5.5481 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5907 loss: 2.5907 2022/07/22 16:31:33 - mmengine - INFO - Epoch(train) [10][2620/3757] lr: 1.0000e-02 eta: 22:10:02 time: 0.2273 data_time: 0.0189 memory: 6108 grad_norm: 5.6990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2229 loss: 2.2229 2022/07/22 16:31:37 - mmengine - INFO - Epoch(train) [10][2640/3757] lr: 1.0000e-02 eta: 22:09:54 time: 0.2196 data_time: 0.0192 memory: 6108 grad_norm: 5.6678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8406 loss: 2.8406 2022/07/22 16:31:42 - mmengine - INFO - Epoch(train) [10][2660/3757] lr: 1.0000e-02 eta: 22:09:50 time: 0.2362 data_time: 0.0300 memory: 6108 grad_norm: 5.5513 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3260 loss: 2.3260 2022/07/22 16:31:47 - mmengine - INFO - Epoch(train) [10][2680/3757] lr: 1.0000e-02 eta: 22:09:46 time: 0.2423 data_time: 0.0212 memory: 6108 grad_norm: 5.6537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3627 loss: 2.3627 2022/07/22 16:31:51 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 1.0000e-02 eta: 22:09:40 time: 0.2272 data_time: 0.0193 memory: 6108 grad_norm: 5.4478 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7296 loss: 2.7296 2022/07/22 16:31:56 - mmengine - INFO - Epoch(train) [10][2720/3757] lr: 1.0000e-02 eta: 22:09:34 time: 0.2307 data_time: 0.0192 memory: 6108 grad_norm: 5.4753 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4964 loss: 2.4964 2022/07/22 16:32:01 - mmengine - INFO - Epoch(train) [10][2740/3757] lr: 1.0000e-02 eta: 22:09:33 time: 0.2517 data_time: 0.0218 memory: 6108 grad_norm: 5.7320 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5603 loss: 2.5603 2022/07/22 16:32:06 - mmengine - INFO - Epoch(train) [10][2760/3757] lr: 1.0000e-02 eta: 22:09:28 time: 0.2347 data_time: 0.0209 memory: 6108 grad_norm: 5.6271 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2281 loss: 2.2281 2022/07/22 16:32:10 - mmengine - INFO - Epoch(train) [10][2780/3757] lr: 1.0000e-02 eta: 22:09:21 time: 0.2217 data_time: 0.0184 memory: 6108 grad_norm: 5.6832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1146 loss: 2.1146 2022/07/22 16:32:15 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 1.0000e-02 eta: 22:09:17 time: 0.2415 data_time: 0.0262 memory: 6108 grad_norm: 5.5672 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3259 loss: 2.3259 2022/07/22 16:32:19 - mmengine - INFO - Epoch(train) [10][2820/3757] lr: 1.0000e-02 eta: 22:09:10 time: 0.2212 data_time: 0.0206 memory: 6108 grad_norm: 5.5623 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6857 loss: 2.6857 2022/07/22 16:32:24 - mmengine - INFO - Epoch(train) [10][2840/3757] lr: 1.0000e-02 eta: 22:09:02 time: 0.2191 data_time: 0.0193 memory: 6108 grad_norm: 5.6324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5660 loss: 2.5660 2022/07/22 16:32:28 - mmengine - INFO - Epoch(train) [10][2860/3757] lr: 1.0000e-02 eta: 22:08:56 time: 0.2257 data_time: 0.0241 memory: 6108 grad_norm: 5.5122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1651 loss: 2.1651 2022/07/22 16:32:33 - mmengine - INFO - Epoch(train) [10][2880/3757] lr: 1.0000e-02 eta: 22:08:54 time: 0.2483 data_time: 0.0203 memory: 6108 grad_norm: 5.7045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3877 loss: 2.3877 2022/07/22 16:32:38 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 1.0000e-02 eta: 22:08:48 time: 0.2328 data_time: 0.0225 memory: 6108 grad_norm: 5.5500 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3806 loss: 2.3806 2022/07/22 16:32:43 - mmengine - INFO - Epoch(train) [10][2920/3757] lr: 1.0000e-02 eta: 22:08:42 time: 0.2288 data_time: 0.0242 memory: 6108 grad_norm: 5.5699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3077 loss: 2.3077 2022/07/22 16:32:47 - mmengine - INFO - Epoch(train) [10][2940/3757] lr: 1.0000e-02 eta: 22:08:36 time: 0.2259 data_time: 0.0208 memory: 6108 grad_norm: 5.6636 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2876 loss: 2.2876 2022/07/22 16:32:52 - mmengine - INFO - Epoch(train) [10][2960/3757] lr: 1.0000e-02 eta: 22:08:34 time: 0.2521 data_time: 0.0178 memory: 6108 grad_norm: 5.6622 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3919 loss: 2.3919 2022/07/22 16:32:57 - mmengine - INFO - Epoch(train) [10][2980/3757] lr: 1.0000e-02 eta: 22:08:29 time: 0.2285 data_time: 0.0250 memory: 6108 grad_norm: 5.6950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4876 loss: 2.4876 2022/07/22 16:33:01 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 1.0000e-02 eta: 22:08:22 time: 0.2242 data_time: 0.0177 memory: 6108 grad_norm: 5.5255 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4436 loss: 2.4436 2022/07/22 16:33:06 - mmengine - INFO - Epoch(train) [10][3020/3757] lr: 1.0000e-02 eta: 22:08:16 time: 0.2317 data_time: 0.0226 memory: 6108 grad_norm: 5.5003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9731 loss: 1.9731 2022/07/22 16:33:10 - mmengine - INFO - Epoch(train) [10][3040/3757] lr: 1.0000e-02 eta: 22:08:10 time: 0.2250 data_time: 0.0260 memory: 6108 grad_norm: 5.5171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4143 loss: 2.4143 2022/07/22 16:33:15 - mmengine - INFO - Epoch(train) [10][3060/3757] lr: 1.0000e-02 eta: 22:08:09 time: 0.2582 data_time: 0.0196 memory: 6108 grad_norm: 5.4811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3845 loss: 2.3845 2022/07/22 16:33:20 - mmengine - INFO - Epoch(train) [10][3080/3757] lr: 1.0000e-02 eta: 22:08:03 time: 0.2281 data_time: 0.0202 memory: 6108 grad_norm: 5.4875 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4790 loss: 2.4790 2022/07/22 16:33:25 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 1.0000e-02 eta: 22:07:57 time: 0.2244 data_time: 0.0241 memory: 6108 grad_norm: 5.6292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1823 loss: 2.1823 2022/07/22 16:33:29 - mmengine - INFO - Epoch(train) [10][3120/3757] lr: 1.0000e-02 eta: 22:07:53 time: 0.2403 data_time: 0.0229 memory: 6108 grad_norm: 5.6627 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4994 loss: 2.4994 2022/07/22 16:33:34 - mmengine - INFO - Epoch(train) [10][3140/3757] lr: 1.0000e-02 eta: 22:07:51 time: 0.2495 data_time: 0.0209 memory: 6108 grad_norm: 5.6165 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6232 loss: 2.6232 2022/07/22 16:33:39 - mmengine - INFO - Epoch(train) [10][3160/3757] lr: 1.0000e-02 eta: 22:07:44 time: 0.2245 data_time: 0.0258 memory: 6108 grad_norm: 5.5488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3723 loss: 2.3723 2022/07/22 16:33:44 - mmengine - INFO - Epoch(train) [10][3180/3757] lr: 1.0000e-02 eta: 22:07:41 time: 0.2431 data_time: 0.0171 memory: 6108 grad_norm: 5.4735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6612 loss: 2.6612 2022/07/22 16:33:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:33:49 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 1.0000e-02 eta: 22:07:40 time: 0.2541 data_time: 0.0200 memory: 6108 grad_norm: 5.3991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3956 loss: 2.3956 2022/07/22 16:33:53 - mmengine - INFO - Epoch(train) [10][3220/3757] lr: 1.0000e-02 eta: 22:07:34 time: 0.2293 data_time: 0.0212 memory: 6108 grad_norm: 5.5302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4086 loss: 2.4086 2022/07/22 16:33:58 - mmengine - INFO - Epoch(train) [10][3240/3757] lr: 1.0000e-02 eta: 22:07:26 time: 0.2181 data_time: 0.0191 memory: 6108 grad_norm: 5.4449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2679 loss: 2.2679 2022/07/22 16:34:02 - mmengine - INFO - Epoch(train) [10][3260/3757] lr: 1.0000e-02 eta: 22:07:21 time: 0.2347 data_time: 0.0200 memory: 6108 grad_norm: 5.4545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2187 loss: 2.2187 2022/07/22 16:34:07 - mmengine - INFO - Epoch(train) [10][3280/3757] lr: 1.0000e-02 eta: 22:07:17 time: 0.2398 data_time: 0.0212 memory: 6108 grad_norm: 5.5985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6228 loss: 2.6228 2022/07/22 16:34:12 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 1.0000e-02 eta: 22:07:12 time: 0.2316 data_time: 0.0237 memory: 6108 grad_norm: 5.4767 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3553 loss: 2.3553 2022/07/22 16:34:16 - mmengine - INFO - Epoch(train) [10][3320/3757] lr: 1.0000e-02 eta: 22:07:06 time: 0.2256 data_time: 0.0232 memory: 6108 grad_norm: 5.7192 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5920 loss: 2.5920 2022/07/22 16:34:21 - mmengine - INFO - Epoch(train) [10][3340/3757] lr: 1.0000e-02 eta: 22:06:58 time: 0.2173 data_time: 0.0211 memory: 6108 grad_norm: 5.3670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0906 loss: 2.0906 2022/07/22 16:34:25 - mmengine - INFO - Epoch(train) [10][3360/3757] lr: 1.0000e-02 eta: 22:06:52 time: 0.2310 data_time: 0.0190 memory: 6108 grad_norm: 5.3881 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6069 loss: 2.6069 2022/07/22 16:34:30 - mmengine - INFO - Epoch(train) [10][3380/3757] lr: 1.0000e-02 eta: 22:06:50 time: 0.2492 data_time: 0.0190 memory: 6108 grad_norm: 5.5851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3634 loss: 2.3634 2022/07/22 16:34:35 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 1.0000e-02 eta: 22:06:46 time: 0.2397 data_time: 0.0234 memory: 6108 grad_norm: 5.5497 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3324 loss: 2.3324 2022/07/22 16:34:40 - mmengine - INFO - Epoch(train) [10][3420/3757] lr: 1.0000e-02 eta: 22:06:41 time: 0.2330 data_time: 0.0184 memory: 6108 grad_norm: 5.5993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6660 loss: 2.6660 2022/07/22 16:34:44 - mmengine - INFO - Epoch(train) [10][3440/3757] lr: 1.0000e-02 eta: 22:06:35 time: 0.2282 data_time: 0.0214 memory: 6108 grad_norm: 5.6817 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2757 loss: 2.2757 2022/07/22 16:34:49 - mmengine - INFO - Epoch(train) [10][3460/3757] lr: 1.0000e-02 eta: 22:06:29 time: 0.2301 data_time: 0.0219 memory: 6108 grad_norm: 5.7024 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3744 loss: 2.3744 2022/07/22 16:34:54 - mmengine - INFO - Epoch(train) [10][3480/3757] lr: 1.0000e-02 eta: 22:06:28 time: 0.2517 data_time: 0.0340 memory: 6108 grad_norm: 5.4129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5082 loss: 2.5082 2022/07/22 16:34:59 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 1.0000e-02 eta: 22:06:21 time: 0.2233 data_time: 0.0166 memory: 6108 grad_norm: 5.4228 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3094 loss: 2.3094 2022/07/22 16:35:03 - mmengine - INFO - Epoch(train) [10][3520/3757] lr: 1.0000e-02 eta: 22:06:16 time: 0.2325 data_time: 0.0340 memory: 6108 grad_norm: 5.3468 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1776 loss: 2.1776 2022/07/22 16:35:08 - mmengine - INFO - Epoch(train) [10][3540/3757] lr: 1.0000e-02 eta: 22:06:09 time: 0.2229 data_time: 0.0195 memory: 6108 grad_norm: 5.4771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3786 loss: 2.3786 2022/07/22 16:35:12 - mmengine - INFO - Epoch(train) [10][3560/3757] lr: 1.0000e-02 eta: 22:06:05 time: 0.2409 data_time: 0.0220 memory: 6108 grad_norm: 5.6507 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2748 loss: 2.2748 2022/07/22 16:35:17 - mmengine - INFO - Epoch(train) [10][3580/3757] lr: 1.0000e-02 eta: 22:06:01 time: 0.2381 data_time: 0.0270 memory: 6108 grad_norm: 5.5842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4246 loss: 2.4246 2022/07/22 16:35:22 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 1.0000e-02 eta: 22:05:54 time: 0.2212 data_time: 0.0195 memory: 6108 grad_norm: 5.5521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6731 loss: 2.6731 2022/07/22 16:35:26 - mmengine - INFO - Epoch(train) [10][3620/3757] lr: 1.0000e-02 eta: 22:05:50 time: 0.2407 data_time: 0.0216 memory: 6108 grad_norm: 5.4915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2007 loss: 2.2007 2022/07/22 16:35:31 - mmengine - INFO - Epoch(train) [10][3640/3757] lr: 1.0000e-02 eta: 22:05:46 time: 0.2400 data_time: 0.0235 memory: 6108 grad_norm: 5.5535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1690 loss: 2.1690 2022/07/22 16:35:36 - mmengine - INFO - Epoch(train) [10][3660/3757] lr: 1.0000e-02 eta: 22:05:41 time: 0.2297 data_time: 0.0202 memory: 6108 grad_norm: 5.6382 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1829 loss: 2.1829 2022/07/22 16:35:40 - mmengine - INFO - Epoch(train) [10][3680/3757] lr: 1.0000e-02 eta: 22:05:34 time: 0.2256 data_time: 0.0172 memory: 6108 grad_norm: 5.5620 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3464 loss: 2.3464 2022/07/22 16:35:45 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 1.0000e-02 eta: 22:05:30 time: 0.2399 data_time: 0.0431 memory: 6108 grad_norm: 5.6151 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3917 loss: 2.3917 2022/07/22 16:35:50 - mmengine - INFO - Epoch(train) [10][3720/3757] lr: 1.0000e-02 eta: 22:05:25 time: 0.2308 data_time: 0.0188 memory: 6108 grad_norm: 5.4698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1410 loss: 2.1410 2022/07/22 16:35:55 - mmengine - INFO - Epoch(train) [10][3740/3757] lr: 1.0000e-02 eta: 22:05:22 time: 0.2455 data_time: 0.0222 memory: 6108 grad_norm: 5.3894 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4277 loss: 2.4277 2022/07/22 16:35:58 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:35:58 - mmengine - INFO - Epoch(train) [10][3757/3757] lr: 1.0000e-02 eta: 22:05:22 time: 0.2007 data_time: 0.0180 memory: 6108 grad_norm: 5.2894 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.3616 loss: 2.3616 2022/07/22 16:35:58 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/07/22 16:36:08 - mmengine - INFO - Epoch(val) [10][20/310] eta: 0:01:19 time: 0.2747 data_time: 0.1998 memory: 1428 2022/07/22 16:36:11 - mmengine - INFO - Epoch(val) [10][40/310] eta: 0:00:50 time: 0.1855 data_time: 0.1119 memory: 1428 2022/07/22 16:36:16 - mmengine - INFO - Epoch(val) [10][60/310] eta: 0:00:57 time: 0.2280 data_time: 0.1555 memory: 1428 2022/07/22 16:36:20 - mmengine - INFO - Epoch(val) [10][80/310] eta: 0:00:45 time: 0.1989 data_time: 0.1233 memory: 1428 2022/07/22 16:36:25 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:00:48 time: 0.2317 data_time: 0.1572 memory: 1428 2022/07/22 16:36:29 - mmengine - INFO - Epoch(val) [10][120/310] eta: 0:00:39 time: 0.2082 data_time: 0.1354 memory: 1428 2022/07/22 16:36:33 - mmengine - INFO - Epoch(val) [10][140/310] eta: 0:00:34 time: 0.2048 data_time: 0.1293 memory: 1428 2022/07/22 16:36:37 - mmengine - INFO - Epoch(val) [10][160/310] eta: 0:00:33 time: 0.2225 data_time: 0.1469 memory: 1428 2022/07/22 16:36:41 - mmengine - INFO - Epoch(val) [10][180/310] eta: 0:00:26 time: 0.2053 data_time: 0.1329 memory: 1428 2022/07/22 16:36:46 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:00:22 time: 0.2065 data_time: 0.1335 memory: 1428 2022/07/22 16:36:50 - mmengine - INFO - Epoch(val) [10][220/310] eta: 0:00:22 time: 0.2473 data_time: 0.1750 memory: 1428 2022/07/22 16:36:54 - mmengine - INFO - Epoch(val) [10][240/310] eta: 0:00:13 time: 0.1947 data_time: 0.1210 memory: 1428 2022/07/22 16:36:59 - mmengine - INFO - Epoch(val) [10][260/310] eta: 0:00:12 time: 0.2421 data_time: 0.1682 memory: 1428 2022/07/22 16:37:03 - mmengine - INFO - Epoch(val) [10][280/310] eta: 0:00:05 time: 0.1798 data_time: 0.1091 memory: 1428 2022/07/22 16:37:06 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:01 time: 0.1434 data_time: 0.0885 memory: 1428 2022/07/22 16:37:08 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.5015 acc/top5: 0.7617 acc/mean1: 0.5012 2022/07/22 16:37:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/07/22 16:37:10 - mmengine - INFO - The best checkpoint with 0.5015 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/07/22 16:37:16 - mmengine - INFO - Epoch(train) [11][20/3757] lr: 1.0000e-02 eta: 22:04:47 time: 0.2912 data_time: 0.1002 memory: 6108 grad_norm: 5.5128 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7503 loss: 2.7503 2022/07/22 16:37:21 - mmengine - INFO - Epoch(train) [11][40/3757] lr: 1.0000e-02 eta: 22:04:42 time: 0.2308 data_time: 0.0212 memory: 6108 grad_norm: 5.4937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2971 loss: 2.2971 2022/07/22 16:37:26 - mmengine - INFO - Epoch(train) [11][60/3757] lr: 1.0000e-02 eta: 22:04:37 time: 0.2348 data_time: 0.0390 memory: 6108 grad_norm: 5.5103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/07/22 16:37:30 - mmengine - INFO - Epoch(train) [11][80/3757] lr: 1.0000e-02 eta: 22:04:33 time: 0.2388 data_time: 0.0374 memory: 6108 grad_norm: 5.5054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2676 loss: 2.2676 2022/07/22 16:37:35 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 1.0000e-02 eta: 22:04:27 time: 0.2278 data_time: 0.0219 memory: 6108 grad_norm: 5.4271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2300 loss: 2.2300 2022/07/22 16:37:39 - mmengine - INFO - Epoch(train) [11][120/3757] lr: 1.0000e-02 eta: 22:04:21 time: 0.2250 data_time: 0.0225 memory: 6108 grad_norm: 5.8114 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5594 loss: 2.5594 2022/07/22 16:37:45 - mmengine - INFO - Epoch(train) [11][140/3757] lr: 1.0000e-02 eta: 22:04:25 time: 0.2858 data_time: 0.0794 memory: 6108 grad_norm: 5.4321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3255 loss: 2.3255 2022/07/22 16:37:50 - mmengine - INFO - Epoch(train) [11][160/3757] lr: 1.0000e-02 eta: 22:04:17 time: 0.2186 data_time: 0.0235 memory: 6108 grad_norm: 5.5120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3504 loss: 2.3504 2022/07/22 16:37:55 - mmengine - INFO - Epoch(train) [11][180/3757] lr: 1.0000e-02 eta: 22:04:15 time: 0.2502 data_time: 0.0242 memory: 6108 grad_norm: 5.4961 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4132 loss: 2.4132 2022/07/22 16:37:59 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 1.0000e-02 eta: 22:04:13 time: 0.2464 data_time: 0.0224 memory: 6108 grad_norm: 5.4925 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5382 loss: 2.5382 2022/07/22 16:38:04 - mmengine - INFO - Epoch(train) [11][220/3757] lr: 1.0000e-02 eta: 22:04:07 time: 0.2291 data_time: 0.0230 memory: 6108 grad_norm: 5.6700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4664 loss: 2.4664 2022/07/22 16:38:09 - mmengine - INFO - Epoch(train) [11][240/3757] lr: 1.0000e-02 eta: 22:04:00 time: 0.2247 data_time: 0.0257 memory: 6108 grad_norm: 5.7181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/07/22 16:38:13 - mmengine - INFO - Epoch(train) [11][260/3757] lr: 1.0000e-02 eta: 22:03:53 time: 0.2231 data_time: 0.0244 memory: 6108 grad_norm: 5.7002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3817 loss: 2.3817 2022/07/22 16:38:18 - mmengine - INFO - Epoch(train) [11][280/3757] lr: 1.0000e-02 eta: 22:03:47 time: 0.2246 data_time: 0.0244 memory: 6108 grad_norm: 5.6425 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5640 loss: 2.5640 2022/07/22 16:38:22 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 1.0000e-02 eta: 22:03:44 time: 0.2469 data_time: 0.0167 memory: 6108 grad_norm: 5.6499 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8866 loss: 2.8866 2022/07/22 16:38:27 - mmengine - INFO - Epoch(train) [11][320/3757] lr: 1.0000e-02 eta: 22:03:39 time: 0.2295 data_time: 0.0191 memory: 6108 grad_norm: 5.5156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4303 loss: 2.4303 2022/07/22 16:38:32 - mmengine - INFO - Epoch(train) [11][340/3757] lr: 1.0000e-02 eta: 22:03:33 time: 0.2308 data_time: 0.0296 memory: 6108 grad_norm: 5.6598 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4725 loss: 2.4725 2022/07/22 16:38:36 - mmengine - INFO - Epoch(train) [11][360/3757] lr: 1.0000e-02 eta: 22:03:28 time: 0.2356 data_time: 0.0335 memory: 6108 grad_norm: 5.4700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1216 loss: 2.1216 2022/07/22 16:38:41 - mmengine - INFO - Epoch(train) [11][380/3757] lr: 1.0000e-02 eta: 22:03:22 time: 0.2246 data_time: 0.0223 memory: 6108 grad_norm: 5.5081 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5125 loss: 2.5125 2022/07/22 16:38:46 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 1.0000e-02 eta: 22:03:21 time: 0.2557 data_time: 0.0495 memory: 6108 grad_norm: 5.5911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1755 loss: 2.1755 2022/07/22 16:38:51 - mmengine - INFO - Epoch(train) [11][420/3757] lr: 1.0000e-02 eta: 22:03:18 time: 0.2435 data_time: 0.0457 memory: 6108 grad_norm: 5.6433 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4044 loss: 2.4044 2022/07/22 16:38:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:38:55 - mmengine - INFO - Epoch(train) [11][440/3757] lr: 1.0000e-02 eta: 22:03:11 time: 0.2216 data_time: 0.0186 memory: 6108 grad_norm: 5.4902 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2656 loss: 2.2656 2022/07/22 16:39:00 - mmengine - INFO - Epoch(train) [11][460/3757] lr: 1.0000e-02 eta: 22:03:06 time: 0.2377 data_time: 0.0261 memory: 6108 grad_norm: 5.4427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6593 loss: 2.6593 2022/07/22 16:39:05 - mmengine - INFO - Epoch(train) [11][480/3757] lr: 1.0000e-02 eta: 22:03:04 time: 0.2484 data_time: 0.0179 memory: 6108 grad_norm: 5.5454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0493 loss: 2.0493 2022/07/22 16:39:10 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 1.0000e-02 eta: 22:02:57 time: 0.2232 data_time: 0.0235 memory: 6108 grad_norm: 5.5914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6149 loss: 2.6149 2022/07/22 16:39:14 - mmengine - INFO - Epoch(train) [11][520/3757] lr: 1.0000e-02 eta: 22:02:53 time: 0.2369 data_time: 0.0417 memory: 6108 grad_norm: 5.5418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2797 loss: 2.2797 2022/07/22 16:39:19 - mmengine - INFO - Epoch(train) [11][540/3757] lr: 1.0000e-02 eta: 22:02:46 time: 0.2212 data_time: 0.0185 memory: 6108 grad_norm: 5.4203 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0924 loss: 2.0924 2022/07/22 16:39:24 - mmengine - INFO - Epoch(train) [11][560/3757] lr: 1.0000e-02 eta: 22:02:43 time: 0.2448 data_time: 0.0218 memory: 6108 grad_norm: 5.3817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1817 loss: 2.1817 2022/07/22 16:39:28 - mmengine - INFO - Epoch(train) [11][580/3757] lr: 1.0000e-02 eta: 22:02:39 time: 0.2384 data_time: 0.0264 memory: 6108 grad_norm: 5.5279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3896 loss: 2.3896 2022/07/22 16:39:33 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 1.0000e-02 eta: 22:02:33 time: 0.2317 data_time: 0.0222 memory: 6108 grad_norm: 5.4173 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3337 loss: 2.3337 2022/07/22 16:39:38 - mmengine - INFO - Epoch(train) [11][620/3757] lr: 1.0000e-02 eta: 22:02:28 time: 0.2303 data_time: 0.0168 memory: 6108 grad_norm: 5.6164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1960 loss: 2.1960 2022/07/22 16:39:42 - mmengine - INFO - Epoch(train) [11][640/3757] lr: 1.0000e-02 eta: 22:02:22 time: 0.2316 data_time: 0.0206 memory: 6108 grad_norm: 5.4941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0358 loss: 2.0358 2022/07/22 16:39:47 - mmengine - INFO - Epoch(train) [11][660/3757] lr: 1.0000e-02 eta: 22:02:16 time: 0.2253 data_time: 0.0200 memory: 6108 grad_norm: 5.6193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3164 loss: 2.3164 2022/07/22 16:39:51 - mmengine - INFO - Epoch(train) [11][680/3757] lr: 1.0000e-02 eta: 22:02:10 time: 0.2291 data_time: 0.0167 memory: 6108 grad_norm: 5.4692 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1455 loss: 2.1455 2022/07/22 16:39:56 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 1.0000e-02 eta: 22:02:04 time: 0.2241 data_time: 0.0265 memory: 6108 grad_norm: 5.6482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4102 loss: 2.4102 2022/07/22 16:40:01 - mmengine - INFO - Epoch(train) [11][720/3757] lr: 1.0000e-02 eta: 22:02:02 time: 0.2535 data_time: 0.0169 memory: 6108 grad_norm: 5.5606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1348 loss: 2.1348 2022/07/22 16:40:06 - mmengine - INFO - Epoch(train) [11][740/3757] lr: 1.0000e-02 eta: 22:02:00 time: 0.2493 data_time: 0.0285 memory: 6108 grad_norm: 5.6480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6121 loss: 2.6121 2022/07/22 16:40:10 - mmengine - INFO - Epoch(train) [11][760/3757] lr: 1.0000e-02 eta: 22:01:53 time: 0.2248 data_time: 0.0223 memory: 6108 grad_norm: 5.6091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6983 loss: 2.6983 2022/07/22 16:40:15 - mmengine - INFO - Epoch(train) [11][780/3757] lr: 1.0000e-02 eta: 22:01:46 time: 0.2197 data_time: 0.0241 memory: 6108 grad_norm: 5.6301 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1706 loss: 2.1706 2022/07/22 16:40:20 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 1.0000e-02 eta: 22:01:45 time: 0.2556 data_time: 0.0621 memory: 6108 grad_norm: 5.7217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3682 loss: 2.3682 2022/07/22 16:40:25 - mmengine - INFO - Epoch(train) [11][820/3757] lr: 1.0000e-02 eta: 22:01:42 time: 0.2462 data_time: 0.0396 memory: 6108 grad_norm: 5.7057 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4713 loss: 2.4713 2022/07/22 16:40:30 - mmengine - INFO - Epoch(train) [11][840/3757] lr: 1.0000e-02 eta: 22:01:37 time: 0.2332 data_time: 0.0334 memory: 6108 grad_norm: 5.5549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5362 loss: 2.5362 2022/07/22 16:40:34 - mmengine - INFO - Epoch(train) [11][860/3757] lr: 1.0000e-02 eta: 22:01:32 time: 0.2353 data_time: 0.0259 memory: 6108 grad_norm: 5.6753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6356 loss: 2.6356 2022/07/22 16:40:39 - mmengine - INFO - Epoch(train) [11][880/3757] lr: 1.0000e-02 eta: 22:01:26 time: 0.2268 data_time: 0.0204 memory: 6108 grad_norm: 5.5319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1857 loss: 2.1857 2022/07/22 16:40:43 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 1.0000e-02 eta: 22:01:21 time: 0.2332 data_time: 0.0186 memory: 6108 grad_norm: 5.6670 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2083 loss: 2.2083 2022/07/22 16:40:48 - mmengine - INFO - Epoch(train) [11][920/3757] lr: 1.0000e-02 eta: 22:01:14 time: 0.2230 data_time: 0.0204 memory: 6108 grad_norm: 5.4372 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3747 loss: 2.3747 2022/07/22 16:40:52 - mmengine - INFO - Epoch(train) [11][940/3757] lr: 1.0000e-02 eta: 22:01:08 time: 0.2234 data_time: 0.0222 memory: 6108 grad_norm: 5.6630 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5600 loss: 2.5600 2022/07/22 16:40:57 - mmengine - INFO - Epoch(train) [11][960/3757] lr: 1.0000e-02 eta: 22:01:00 time: 0.2211 data_time: 0.0199 memory: 6108 grad_norm: 5.5403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1860 loss: 2.1860 2022/07/22 16:41:02 - mmengine - INFO - Epoch(train) [11][980/3757] lr: 1.0000e-02 eta: 22:00:56 time: 0.2374 data_time: 0.0190 memory: 6108 grad_norm: 5.4434 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4314 loss: 2.4314 2022/07/22 16:41:07 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 1.0000e-02 eta: 22:00:54 time: 0.2524 data_time: 0.0281 memory: 6108 grad_norm: 5.6234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0883 loss: 2.0883 2022/07/22 16:41:11 - mmengine - INFO - Epoch(train) [11][1020/3757] lr: 1.0000e-02 eta: 22:00:49 time: 0.2294 data_time: 0.0164 memory: 6108 grad_norm: 5.6991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0929 loss: 2.0929 2022/07/22 16:41:16 - mmengine - INFO - Epoch(train) [11][1040/3757] lr: 1.0000e-02 eta: 22:00:45 time: 0.2383 data_time: 0.0188 memory: 6108 grad_norm: 5.5140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1477 loss: 2.1477 2022/07/22 16:41:20 - mmengine - INFO - Epoch(train) [11][1060/3757] lr: 1.0000e-02 eta: 22:00:38 time: 0.2238 data_time: 0.0274 memory: 6108 grad_norm: 5.6334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3743 loss: 2.3743 2022/07/22 16:41:25 - mmengine - INFO - Epoch(train) [11][1080/3757] lr: 1.0000e-02 eta: 22:00:35 time: 0.2428 data_time: 0.0220 memory: 6108 grad_norm: 5.7180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4863 loss: 2.4863 2022/07/22 16:41:30 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 1.0000e-02 eta: 22:00:30 time: 0.2334 data_time: 0.0196 memory: 6108 grad_norm: 5.6196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4582 loss: 2.4582 2022/07/22 16:41:34 - mmengine - INFO - Epoch(train) [11][1120/3757] lr: 1.0000e-02 eta: 22:00:23 time: 0.2241 data_time: 0.0248 memory: 6108 grad_norm: 5.5439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9767 loss: 1.9767 2022/07/22 16:41:39 - mmengine - INFO - Epoch(train) [11][1140/3757] lr: 1.0000e-02 eta: 22:00:16 time: 0.2225 data_time: 0.0201 memory: 6108 grad_norm: 5.5601 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6533 loss: 2.6533 2022/07/22 16:41:44 - mmengine - INFO - Epoch(train) [11][1160/3757] lr: 1.0000e-02 eta: 22:00:11 time: 0.2352 data_time: 0.0197 memory: 6108 grad_norm: 5.5214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2495 loss: 2.2495 2022/07/22 16:41:48 - mmengine - INFO - Epoch(train) [11][1180/3757] lr: 1.0000e-02 eta: 22:00:08 time: 0.2402 data_time: 0.0192 memory: 6108 grad_norm: 5.6132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3578 loss: 2.3578 2022/07/22 16:41:54 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 1.0000e-02 eta: 22:00:08 time: 0.2652 data_time: 0.0184 memory: 6108 grad_norm: 5.4268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3228 loss: 2.3228 2022/07/22 16:41:58 - mmengine - INFO - Epoch(train) [11][1220/3757] lr: 1.0000e-02 eta: 22:00:01 time: 0.2219 data_time: 0.0176 memory: 6108 grad_norm: 5.4732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9547 loss: 1.9547 2022/07/22 16:42:03 - mmengine - INFO - Epoch(train) [11][1240/3757] lr: 1.0000e-02 eta: 21:59:57 time: 0.2362 data_time: 0.0228 memory: 6108 grad_norm: 5.8227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4894 loss: 2.4894 2022/07/22 16:42:07 - mmengine - INFO - Epoch(train) [11][1260/3757] lr: 1.0000e-02 eta: 21:59:50 time: 0.2241 data_time: 0.0168 memory: 6108 grad_norm: 5.6391 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2390 loss: 2.2390 2022/07/22 16:42:12 - mmengine - INFO - Epoch(train) [11][1280/3757] lr: 1.0000e-02 eta: 21:59:44 time: 0.2277 data_time: 0.0220 memory: 6108 grad_norm: 5.6035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2313 loss: 2.2313 2022/07/22 16:42:16 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 1.0000e-02 eta: 21:59:37 time: 0.2239 data_time: 0.0206 memory: 6108 grad_norm: 5.4855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3764 loss: 2.3764 2022/07/22 16:42:21 - mmengine - INFO - Epoch(train) [11][1320/3757] lr: 1.0000e-02 eta: 21:59:30 time: 0.2209 data_time: 0.0175 memory: 6108 grad_norm: 5.7987 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4054 loss: 2.4054 2022/07/22 16:42:26 - mmengine - INFO - Epoch(train) [11][1340/3757] lr: 1.0000e-02 eta: 21:59:29 time: 0.2546 data_time: 0.0229 memory: 6108 grad_norm: 5.7954 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2979 loss: 2.2979 2022/07/22 16:42:30 - mmengine - INFO - Epoch(train) [11][1360/3757] lr: 1.0000e-02 eta: 21:59:22 time: 0.2217 data_time: 0.0215 memory: 6108 grad_norm: 5.5594 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3307 loss: 2.3307 2022/07/22 16:42:35 - mmengine - INFO - Epoch(train) [11][1380/3757] lr: 1.0000e-02 eta: 21:59:18 time: 0.2394 data_time: 0.0226 memory: 6108 grad_norm: 5.5469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0993 loss: 2.0993 2022/07/22 16:42:40 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 1.0000e-02 eta: 21:59:11 time: 0.2220 data_time: 0.0198 memory: 6108 grad_norm: 5.6531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3994 loss: 2.3994 2022/07/22 16:42:44 - mmengine - INFO - Epoch(train) [11][1420/3757] lr: 1.0000e-02 eta: 21:59:06 time: 0.2344 data_time: 0.0236 memory: 6108 grad_norm: 5.4822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0723 loss: 2.0723 2022/07/22 16:42:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:42:49 - mmengine - INFO - Epoch(train) [11][1440/3757] lr: 1.0000e-02 eta: 21:59:01 time: 0.2337 data_time: 0.0201 memory: 6108 grad_norm: 5.6599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2969 loss: 2.2969 2022/07/22 16:42:54 - mmengine - INFO - Epoch(train) [11][1460/3757] lr: 1.0000e-02 eta: 21:58:57 time: 0.2354 data_time: 0.0253 memory: 6108 grad_norm: 5.6926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0181 loss: 2.0181 2022/07/22 16:42:58 - mmengine - INFO - Epoch(train) [11][1480/3757] lr: 1.0000e-02 eta: 21:58:49 time: 0.2197 data_time: 0.0198 memory: 6108 grad_norm: 5.5742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1387 loss: 2.1387 2022/07/22 16:43:03 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 1.0000e-02 eta: 21:58:44 time: 0.2320 data_time: 0.0266 memory: 6108 grad_norm: 5.7568 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3948 loss: 2.3948 2022/07/22 16:43:07 - mmengine - INFO - Epoch(train) [11][1520/3757] lr: 1.0000e-02 eta: 21:58:38 time: 0.2245 data_time: 0.0264 memory: 6108 grad_norm: 5.6961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3185 loss: 2.3185 2022/07/22 16:43:12 - mmengine - INFO - Epoch(train) [11][1540/3757] lr: 1.0000e-02 eta: 21:58:31 time: 0.2242 data_time: 0.0203 memory: 6108 grad_norm: 5.4743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4322 loss: 2.4322 2022/07/22 16:43:16 - mmengine - INFO - Epoch(train) [11][1560/3757] lr: 1.0000e-02 eta: 21:58:26 time: 0.2322 data_time: 0.0178 memory: 6108 grad_norm: 5.5792 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5192 loss: 2.5192 2022/07/22 16:43:21 - mmengine - INFO - Epoch(train) [11][1580/3757] lr: 1.0000e-02 eta: 21:58:23 time: 0.2450 data_time: 0.0257 memory: 6108 grad_norm: 5.5004 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9481 loss: 1.9481 2022/07/22 16:43:26 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 1.0000e-02 eta: 21:58:20 time: 0.2434 data_time: 0.0220 memory: 6108 grad_norm: 5.6008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2386 loss: 2.2386 2022/07/22 16:43:31 - mmengine - INFO - Epoch(train) [11][1620/3757] lr: 1.0000e-02 eta: 21:58:13 time: 0.2222 data_time: 0.0257 memory: 6108 grad_norm: 5.4448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2612 loss: 2.2612 2022/07/22 16:43:35 - mmengine - INFO - Epoch(train) [11][1640/3757] lr: 1.0000e-02 eta: 21:58:09 time: 0.2409 data_time: 0.0214 memory: 6108 grad_norm: 5.3715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0371 loss: 2.0371 2022/07/22 16:43:41 - mmengine - INFO - Epoch(train) [11][1660/3757] lr: 1.0000e-02 eta: 21:58:08 time: 0.2567 data_time: 0.0210 memory: 6108 grad_norm: 5.3938 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4256 loss: 2.4256 2022/07/22 16:43:45 - mmengine - INFO - Epoch(train) [11][1680/3757] lr: 1.0000e-02 eta: 21:58:02 time: 0.2283 data_time: 0.0212 memory: 6108 grad_norm: 5.5234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6264 loss: 2.6264 2022/07/22 16:43:50 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 1.0000e-02 eta: 21:57:58 time: 0.2388 data_time: 0.0205 memory: 6108 grad_norm: 5.4134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1710 loss: 2.1710 2022/07/22 16:43:55 - mmengine - INFO - Epoch(train) [11][1720/3757] lr: 1.0000e-02 eta: 21:57:56 time: 0.2511 data_time: 0.0267 memory: 6108 grad_norm: 5.5804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3221 loss: 2.3221 2022/07/22 16:43:59 - mmengine - INFO - Epoch(train) [11][1740/3757] lr: 1.0000e-02 eta: 21:57:50 time: 0.2262 data_time: 0.0259 memory: 6108 grad_norm: 5.5709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5351 loss: 2.5351 2022/07/22 16:44:04 - mmengine - INFO - Epoch(train) [11][1760/3757] lr: 1.0000e-02 eta: 21:57:45 time: 0.2356 data_time: 0.0267 memory: 6108 grad_norm: 5.4248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3438 loss: 2.3438 2022/07/22 16:44:09 - mmengine - INFO - Epoch(train) [11][1780/3757] lr: 1.0000e-02 eta: 21:57:41 time: 0.2353 data_time: 0.0253 memory: 6108 grad_norm: 5.5402 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4059 loss: 2.4059 2022/07/22 16:44:14 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 1.0000e-02 eta: 21:57:36 time: 0.2342 data_time: 0.0208 memory: 6108 grad_norm: 5.4381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1707 loss: 2.1707 2022/07/22 16:44:18 - mmengine - INFO - Epoch(train) [11][1820/3757] lr: 1.0000e-02 eta: 21:57:29 time: 0.2254 data_time: 0.0238 memory: 6108 grad_norm: 5.4098 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4206 loss: 2.4206 2022/07/22 16:44:23 - mmengine - INFO - Epoch(train) [11][1840/3757] lr: 1.0000e-02 eta: 21:57:25 time: 0.2358 data_time: 0.0240 memory: 6108 grad_norm: 5.4541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0782 loss: 2.0782 2022/07/22 16:44:27 - mmengine - INFO - Epoch(train) [11][1860/3757] lr: 1.0000e-02 eta: 21:57:18 time: 0.2241 data_time: 0.0201 memory: 6108 grad_norm: 5.4690 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0229 loss: 2.0229 2022/07/22 16:44:32 - mmengine - INFO - Epoch(train) [11][1880/3757] lr: 1.0000e-02 eta: 21:57:12 time: 0.2269 data_time: 0.0233 memory: 6108 grad_norm: 5.7235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2730 loss: 2.2730 2022/07/22 16:44:37 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 1.0000e-02 eta: 21:57:09 time: 0.2444 data_time: 0.0226 memory: 6108 grad_norm: 5.5538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6209 loss: 2.6209 2022/07/22 16:44:41 - mmengine - INFO - Epoch(train) [11][1920/3757] lr: 1.0000e-02 eta: 21:57:02 time: 0.2217 data_time: 0.0219 memory: 6108 grad_norm: 5.6143 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4473 loss: 2.4473 2022/07/22 16:44:46 - mmengine - INFO - Epoch(train) [11][1940/3757] lr: 1.0000e-02 eta: 21:57:00 time: 0.2486 data_time: 0.0227 memory: 6108 grad_norm: 5.6323 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4248 loss: 2.4248 2022/07/22 16:44:51 - mmengine - INFO - Epoch(train) [11][1960/3757] lr: 1.0000e-02 eta: 21:56:56 time: 0.2429 data_time: 0.0472 memory: 6108 grad_norm: 5.5796 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3561 loss: 2.3561 2022/07/22 16:44:56 - mmengine - INFO - Epoch(train) [11][1980/3757] lr: 1.0000e-02 eta: 21:56:51 time: 0.2327 data_time: 0.0211 memory: 6108 grad_norm: 5.5899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2668 loss: 2.2668 2022/07/22 16:45:00 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 1.0000e-02 eta: 21:56:44 time: 0.2229 data_time: 0.0224 memory: 6108 grad_norm: 5.7947 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3496 loss: 2.3496 2022/07/22 16:45:05 - mmengine - INFO - Epoch(train) [11][2020/3757] lr: 1.0000e-02 eta: 21:56:42 time: 0.2453 data_time: 0.0231 memory: 6108 grad_norm: 5.5894 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5726 loss: 2.5726 2022/07/22 16:45:09 - mmengine - INFO - Epoch(train) [11][2040/3757] lr: 1.0000e-02 eta: 21:56:34 time: 0.2211 data_time: 0.0192 memory: 6108 grad_norm: 5.6483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0732 loss: 2.0732 2022/07/22 16:45:14 - mmengine - INFO - Epoch(train) [11][2060/3757] lr: 1.0000e-02 eta: 21:56:31 time: 0.2417 data_time: 0.0253 memory: 6108 grad_norm: 5.6642 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4562 loss: 2.4562 2022/07/22 16:45:19 - mmengine - INFO - Epoch(train) [11][2080/3757] lr: 1.0000e-02 eta: 21:56:25 time: 0.2280 data_time: 0.0170 memory: 6108 grad_norm: 5.5413 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2970 loss: 2.2970 2022/07/22 16:45:24 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 1.0000e-02 eta: 21:56:22 time: 0.2452 data_time: 0.0198 memory: 6108 grad_norm: 5.5842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4833 loss: 2.4833 2022/07/22 16:45:28 - mmengine - INFO - Epoch(train) [11][2120/3757] lr: 1.0000e-02 eta: 21:56:15 time: 0.2217 data_time: 0.0221 memory: 6108 grad_norm: 5.5496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4169 loss: 2.4169 2022/07/22 16:45:33 - mmengine - INFO - Epoch(train) [11][2140/3757] lr: 1.0000e-02 eta: 21:56:10 time: 0.2308 data_time: 0.0319 memory: 6108 grad_norm: 5.7029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3584 loss: 2.3584 2022/07/22 16:45:37 - mmengine - INFO - Epoch(train) [11][2160/3757] lr: 1.0000e-02 eta: 21:56:03 time: 0.2236 data_time: 0.0207 memory: 6108 grad_norm: 5.5226 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5509 loss: 2.5509 2022/07/22 16:45:42 - mmengine - INFO - Epoch(train) [11][2180/3757] lr: 1.0000e-02 eta: 21:55:56 time: 0.2200 data_time: 0.0264 memory: 6108 grad_norm: 5.3688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3518 loss: 2.3518 2022/07/22 16:45:47 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 1.0000e-02 eta: 21:55:52 time: 0.2418 data_time: 0.0221 memory: 6108 grad_norm: 5.4525 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1233 loss: 2.1233 2022/07/22 16:45:52 - mmengine - INFO - Epoch(train) [11][2220/3757] lr: 1.0000e-02 eta: 21:55:50 time: 0.2469 data_time: 0.0208 memory: 6108 grad_norm: 5.5299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3769 loss: 2.3769 2022/07/22 16:45:56 - mmengine - INFO - Epoch(train) [11][2240/3757] lr: 1.0000e-02 eta: 21:55:42 time: 0.2211 data_time: 0.0231 memory: 6108 grad_norm: 5.5180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5197 loss: 2.5197 2022/07/22 16:46:01 - mmengine - INFO - Epoch(train) [11][2260/3757] lr: 1.0000e-02 eta: 21:55:37 time: 0.2307 data_time: 0.0199 memory: 6108 grad_norm: 5.3138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5708 loss: 2.5708 2022/07/22 16:46:06 - mmengine - INFO - Epoch(train) [11][2280/3757] lr: 1.0000e-02 eta: 21:55:36 time: 0.2549 data_time: 0.0235 memory: 6108 grad_norm: 5.3729 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3601 loss: 2.3601 2022/07/22 16:46:11 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 1.0000e-02 eta: 21:55:32 time: 0.2420 data_time: 0.0187 memory: 6108 grad_norm: 5.7119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0331 loss: 2.0331 2022/07/22 16:46:15 - mmengine - INFO - Epoch(train) [11][2320/3757] lr: 1.0000e-02 eta: 21:55:26 time: 0.2264 data_time: 0.0179 memory: 6108 grad_norm: 5.5545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2176 loss: 2.2176 2022/07/22 16:46:20 - mmengine - INFO - Epoch(train) [11][2340/3757] lr: 1.0000e-02 eta: 21:55:19 time: 0.2235 data_time: 0.0224 memory: 6108 grad_norm: 5.7009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5281 loss: 2.5281 2022/07/22 16:46:25 - mmengine - INFO - Epoch(train) [11][2360/3757] lr: 1.0000e-02 eta: 21:55:19 time: 0.2587 data_time: 0.0257 memory: 6108 grad_norm: 5.5355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3765 loss: 2.3765 2022/07/22 16:46:29 - mmengine - INFO - Epoch(train) [11][2380/3757] lr: 1.0000e-02 eta: 21:55:12 time: 0.2217 data_time: 0.0219 memory: 6108 grad_norm: 5.2681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0920 loss: 2.0920 2022/07/22 16:46:34 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 1.0000e-02 eta: 21:55:05 time: 0.2223 data_time: 0.0226 memory: 6108 grad_norm: 5.6084 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3859 loss: 2.3859 2022/07/22 16:46:38 - mmengine - INFO - Epoch(train) [11][2420/3757] lr: 1.0000e-02 eta: 21:54:58 time: 0.2219 data_time: 0.0235 memory: 6108 grad_norm: 5.4566 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2888 loss: 2.2888 2022/07/22 16:46:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:46:46 - mmengine - INFO - Epoch(train) [11][2440/3757] lr: 1.0000e-02 eta: 21:55:19 time: 0.3893 data_time: 0.1720 memory: 6108 grad_norm: 5.3948 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9346 loss: 1.9346 2022/07/22 16:46:50 - mmengine - INFO - Epoch(train) [11][2460/3757] lr: 1.0000e-02 eta: 21:55:12 time: 0.2190 data_time: 0.0225 memory: 6108 grad_norm: 5.5140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2648 loss: 2.2648 2022/07/22 16:46:55 - mmengine - INFO - Epoch(train) [11][2480/3757] lr: 1.0000e-02 eta: 21:55:08 time: 0.2390 data_time: 0.0205 memory: 6108 grad_norm: 5.8273 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4714 loss: 2.4714 2022/07/22 16:47:00 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 1.0000e-02 eta: 21:55:04 time: 0.2381 data_time: 0.0227 memory: 6108 grad_norm: 5.4818 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3299 loss: 2.3299 2022/07/22 16:47:05 - mmengine - INFO - Epoch(train) [11][2520/3757] lr: 1.0000e-02 eta: 21:55:00 time: 0.2402 data_time: 0.0239 memory: 6108 grad_norm: 5.3645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5916 loss: 2.5916 2022/07/22 16:47:09 - mmengine - INFO - Epoch(train) [11][2540/3757] lr: 1.0000e-02 eta: 21:54:55 time: 0.2379 data_time: 0.0248 memory: 6108 grad_norm: 5.4316 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3716 loss: 2.3716 2022/07/22 16:47:14 - mmengine - INFO - Epoch(train) [11][2560/3757] lr: 1.0000e-02 eta: 21:54:52 time: 0.2408 data_time: 0.0208 memory: 6108 grad_norm: 5.4460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3130 loss: 2.3130 2022/07/22 16:47:19 - mmengine - INFO - Epoch(train) [11][2580/3757] lr: 1.0000e-02 eta: 21:54:46 time: 0.2265 data_time: 0.0199 memory: 6108 grad_norm: 5.5829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3210 loss: 2.3210 2022/07/22 16:47:24 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 1.0000e-02 eta: 21:54:45 time: 0.2577 data_time: 0.0293 memory: 6108 grad_norm: 5.5198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3995 loss: 2.3995 2022/07/22 16:47:29 - mmengine - INFO - Epoch(train) [11][2620/3757] lr: 1.0000e-02 eta: 21:54:41 time: 0.2425 data_time: 0.0226 memory: 6108 grad_norm: 5.5211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7146 loss: 2.7146 2022/07/22 16:47:33 - mmengine - INFO - Epoch(train) [11][2640/3757] lr: 1.0000e-02 eta: 21:54:36 time: 0.2322 data_time: 0.0238 memory: 6108 grad_norm: 5.5894 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6157 loss: 2.6157 2022/07/22 16:47:38 - mmengine - INFO - Epoch(train) [11][2660/3757] lr: 1.0000e-02 eta: 21:54:31 time: 0.2314 data_time: 0.0263 memory: 6108 grad_norm: 5.7075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4044 loss: 2.4044 2022/07/22 16:47:42 - mmengine - INFO - Epoch(train) [11][2680/3757] lr: 1.0000e-02 eta: 21:54:24 time: 0.2234 data_time: 0.0234 memory: 6108 grad_norm: 5.5602 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4146 loss: 2.4146 2022/07/22 16:47:47 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 1.0000e-02 eta: 21:54:19 time: 0.2322 data_time: 0.0254 memory: 6108 grad_norm: 5.6112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2671 loss: 2.2671 2022/07/22 16:47:51 - mmengine - INFO - Epoch(train) [11][2720/3757] lr: 1.0000e-02 eta: 21:54:12 time: 0.2200 data_time: 0.0201 memory: 6108 grad_norm: 5.6419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4153 loss: 2.4153 2022/07/22 16:47:56 - mmengine - INFO - Epoch(train) [11][2740/3757] lr: 1.0000e-02 eta: 21:54:05 time: 0.2253 data_time: 0.0197 memory: 6108 grad_norm: 5.5440 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3236 loss: 2.3236 2022/07/22 16:48:01 - mmengine - INFO - Epoch(train) [11][2760/3757] lr: 1.0000e-02 eta: 21:54:01 time: 0.2354 data_time: 0.0262 memory: 6108 grad_norm: 5.5959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4309 loss: 2.4309 2022/07/22 16:48:06 - mmengine - INFO - Epoch(train) [11][2780/3757] lr: 1.0000e-02 eta: 21:53:58 time: 0.2471 data_time: 0.0183 memory: 6108 grad_norm: 5.6180 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4032 loss: 2.4032 2022/07/22 16:48:10 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 1.0000e-02 eta: 21:53:54 time: 0.2376 data_time: 0.0155 memory: 6108 grad_norm: 5.4899 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4057 loss: 2.4057 2022/07/22 16:48:15 - mmengine - INFO - Epoch(train) [11][2820/3757] lr: 1.0000e-02 eta: 21:53:49 time: 0.2363 data_time: 0.0221 memory: 6108 grad_norm: 5.6188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5448 loss: 2.5448 2022/07/22 16:48:20 - mmengine - INFO - Epoch(train) [11][2840/3757] lr: 1.0000e-02 eta: 21:53:42 time: 0.2207 data_time: 0.0191 memory: 6108 grad_norm: 5.6020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4497 loss: 2.4497 2022/07/22 16:48:24 - mmengine - INFO - Epoch(train) [11][2860/3757] lr: 1.0000e-02 eta: 21:53:38 time: 0.2405 data_time: 0.0242 memory: 6108 grad_norm: 5.6668 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3834 loss: 2.3834 2022/07/22 16:48:29 - mmengine - INFO - Epoch(train) [11][2880/3757] lr: 1.0000e-02 eta: 21:53:32 time: 0.2278 data_time: 0.0220 memory: 6108 grad_norm: 5.4751 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3106 loss: 2.3106 2022/07/22 16:48:33 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 1.0000e-02 eta: 21:53:25 time: 0.2213 data_time: 0.0201 memory: 6108 grad_norm: 5.6896 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2680 loss: 2.2680 2022/07/22 16:48:38 - mmengine - INFO - Epoch(train) [11][2920/3757] lr: 1.0000e-02 eta: 21:53:20 time: 0.2334 data_time: 0.0261 memory: 6108 grad_norm: 5.5615 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5005 loss: 2.5005 2022/07/22 16:48:43 - mmengine - INFO - Epoch(train) [11][2940/3757] lr: 1.0000e-02 eta: 21:53:16 time: 0.2392 data_time: 0.0222 memory: 6108 grad_norm: 5.5212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3313 loss: 2.3313 2022/07/22 16:48:48 - mmengine - INFO - Epoch(train) [11][2960/3757] lr: 1.0000e-02 eta: 21:53:13 time: 0.2427 data_time: 0.0214 memory: 6108 grad_norm: 5.4919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2417 loss: 2.2417 2022/07/22 16:48:52 - mmengine - INFO - Epoch(train) [11][2980/3757] lr: 1.0000e-02 eta: 21:53:08 time: 0.2311 data_time: 0.0176 memory: 6108 grad_norm: 5.4283 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.0621 loss: 2.0621 2022/07/22 16:48:57 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 1.0000e-02 eta: 21:53:04 time: 0.2414 data_time: 0.0213 memory: 6108 grad_norm: 5.3851 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2364 loss: 2.2364 2022/07/22 16:49:02 - mmengine - INFO - Epoch(train) [11][3020/3757] lr: 1.0000e-02 eta: 21:52:59 time: 0.2336 data_time: 0.0218 memory: 6108 grad_norm: 5.6501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5122 loss: 2.5122 2022/07/22 16:49:07 - mmengine - INFO - Epoch(train) [11][3040/3757] lr: 1.0000e-02 eta: 21:52:54 time: 0.2334 data_time: 0.0332 memory: 6108 grad_norm: 5.5612 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6002 loss: 2.6002 2022/07/22 16:49:11 - mmengine - INFO - Epoch(train) [11][3060/3757] lr: 1.0000e-02 eta: 21:52:48 time: 0.2301 data_time: 0.0270 memory: 6108 grad_norm: 5.5491 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6641 loss: 2.6641 2022/07/22 16:49:16 - mmengine - INFO - Epoch(train) [11][3080/3757] lr: 1.0000e-02 eta: 21:52:45 time: 0.2419 data_time: 0.0241 memory: 6108 grad_norm: 5.4020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5085 loss: 2.5085 2022/07/22 16:49:21 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 1.0000e-02 eta: 21:52:40 time: 0.2364 data_time: 0.0259 memory: 6108 grad_norm: 5.5243 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1596 loss: 2.1596 2022/07/22 16:49:25 - mmengine - INFO - Epoch(train) [11][3120/3757] lr: 1.0000e-02 eta: 21:52:35 time: 0.2297 data_time: 0.0260 memory: 6108 grad_norm: 5.5161 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6092 loss: 2.6092 2022/07/22 16:49:30 - mmengine - INFO - Epoch(train) [11][3140/3757] lr: 1.0000e-02 eta: 21:52:28 time: 0.2240 data_time: 0.0201 memory: 6108 grad_norm: 5.3556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2886 loss: 2.2886 2022/07/22 16:49:34 - mmengine - INFO - Epoch(train) [11][3160/3757] lr: 1.0000e-02 eta: 21:52:22 time: 0.2231 data_time: 0.0198 memory: 6108 grad_norm: 5.5417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2928 loss: 2.2928 2022/07/22 16:49:39 - mmengine - INFO - Epoch(train) [11][3180/3757] lr: 1.0000e-02 eta: 21:52:21 time: 0.2575 data_time: 0.0236 memory: 6108 grad_norm: 5.4323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4637 loss: 2.4637 2022/07/22 16:49:44 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 1.0000e-02 eta: 21:52:15 time: 0.2325 data_time: 0.0160 memory: 6108 grad_norm: 5.2981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0858 loss: 2.0858 2022/07/22 16:49:49 - mmengine - INFO - Epoch(train) [11][3220/3757] lr: 1.0000e-02 eta: 21:52:14 time: 0.2525 data_time: 0.0179 memory: 6108 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3384 loss: 2.3384 2022/07/22 16:49:54 - mmengine - INFO - Epoch(train) [11][3240/3757] lr: 1.0000e-02 eta: 21:52:06 time: 0.2203 data_time: 0.0207 memory: 6108 grad_norm: 5.4023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4486 loss: 2.4486 2022/07/22 16:49:58 - mmengine - INFO - Epoch(train) [11][3260/3757] lr: 1.0000e-02 eta: 21:52:00 time: 0.2235 data_time: 0.0238 memory: 6108 grad_norm: 5.6049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4371 loss: 2.4371 2022/07/22 16:50:03 - mmengine - INFO - Epoch(train) [11][3280/3757] lr: 1.0000e-02 eta: 21:51:55 time: 0.2368 data_time: 0.0246 memory: 6108 grad_norm: 5.6137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2481 loss: 2.2481 2022/07/22 16:50:07 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 1.0000e-02 eta: 21:51:51 time: 0.2365 data_time: 0.0211 memory: 6108 grad_norm: 5.5876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2895 loss: 2.2895 2022/07/22 16:50:12 - mmengine - INFO - Epoch(train) [11][3320/3757] lr: 1.0000e-02 eta: 21:51:48 time: 0.2440 data_time: 0.0188 memory: 6108 grad_norm: 5.6294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5707 loss: 2.5707 2022/07/22 16:50:17 - mmengine - INFO - Epoch(train) [11][3340/3757] lr: 1.0000e-02 eta: 21:51:46 time: 0.2515 data_time: 0.0189 memory: 6108 grad_norm: 5.4757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1553 loss: 2.1553 2022/07/22 16:50:22 - mmengine - INFO - Epoch(train) [11][3360/3757] lr: 1.0000e-02 eta: 21:51:42 time: 0.2401 data_time: 0.0293 memory: 6108 grad_norm: 5.5855 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1328 loss: 2.1328 2022/07/22 16:50:27 - mmengine - INFO - Epoch(train) [11][3380/3757] lr: 1.0000e-02 eta: 21:51:37 time: 0.2334 data_time: 0.0193 memory: 6108 grad_norm: 5.4338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5799 loss: 2.5799 2022/07/22 16:50:31 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 1.0000e-02 eta: 21:51:30 time: 0.2216 data_time: 0.0198 memory: 6108 grad_norm: 5.5796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3646 loss: 2.3646 2022/07/22 16:50:36 - mmengine - INFO - Epoch(train) [11][3420/3757] lr: 1.0000e-02 eta: 21:51:25 time: 0.2353 data_time: 0.0253 memory: 6108 grad_norm: 5.5256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4619 loss: 2.4619 2022/07/22 16:50:38 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:50:41 - mmengine - INFO - Epoch(train) [11][3440/3757] lr: 1.0000e-02 eta: 21:51:21 time: 0.2361 data_time: 0.0179 memory: 6108 grad_norm: 5.2762 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4250 loss: 2.4250 2022/07/22 16:50:45 - mmengine - INFO - Epoch(train) [11][3460/3757] lr: 1.0000e-02 eta: 21:51:15 time: 0.2284 data_time: 0.0255 memory: 6108 grad_norm: 5.5208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1454 loss: 2.1454 2022/07/22 16:50:50 - mmengine - INFO - Epoch(train) [11][3480/3757] lr: 1.0000e-02 eta: 21:51:10 time: 0.2353 data_time: 0.0285 memory: 6108 grad_norm: 5.6866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4261 loss: 2.4261 2022/07/22 16:50:55 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 1.0000e-02 eta: 21:51:04 time: 0.2242 data_time: 0.0198 memory: 6108 grad_norm: 5.7542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1943 loss: 2.1943 2022/07/22 16:50:59 - mmengine - INFO - Epoch(train) [11][3520/3757] lr: 1.0000e-02 eta: 21:51:00 time: 0.2396 data_time: 0.0245 memory: 6108 grad_norm: 5.6536 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3718 loss: 2.3718 2022/07/22 16:51:04 - mmengine - INFO - Epoch(train) [11][3540/3757] lr: 1.0000e-02 eta: 21:50:57 time: 0.2438 data_time: 0.0243 memory: 6108 grad_norm: 5.4049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1703 loss: 2.1703 2022/07/22 16:51:09 - mmengine - INFO - Epoch(train) [11][3560/3757] lr: 1.0000e-02 eta: 21:50:50 time: 0.2219 data_time: 0.0213 memory: 6108 grad_norm: 5.5426 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5428 loss: 2.5428 2022/07/22 16:51:13 - mmengine - INFO - Epoch(train) [11][3580/3757] lr: 1.0000e-02 eta: 21:50:44 time: 0.2259 data_time: 0.0213 memory: 6108 grad_norm: 5.6639 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5281 loss: 2.5281 2022/07/22 16:51:18 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 1.0000e-02 eta: 21:50:39 time: 0.2354 data_time: 0.0229 memory: 6108 grad_norm: 5.4205 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5601 loss: 2.5601 2022/07/22 16:51:23 - mmengine - INFO - Epoch(train) [11][3620/3757] lr: 1.0000e-02 eta: 21:50:35 time: 0.2401 data_time: 0.0173 memory: 6108 grad_norm: 5.5771 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7149 loss: 2.7149 2022/07/22 16:51:28 - mmengine - INFO - Epoch(train) [11][3640/3757] lr: 1.0000e-02 eta: 21:50:32 time: 0.2430 data_time: 0.0257 memory: 6108 grad_norm: 5.4552 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6198 loss: 2.6198 2022/07/22 16:51:32 - mmengine - INFO - Epoch(train) [11][3660/3757] lr: 1.0000e-02 eta: 21:50:26 time: 0.2289 data_time: 0.0246 memory: 6108 grad_norm: 5.3667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2640 loss: 2.2640 2022/07/22 16:51:37 - mmengine - INFO - Epoch(train) [11][3680/3757] lr: 1.0000e-02 eta: 21:50:19 time: 0.2248 data_time: 0.0207 memory: 6108 grad_norm: 5.4286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1827 loss: 2.1827 2022/07/22 16:51:41 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 1.0000e-02 eta: 21:50:14 time: 0.2299 data_time: 0.0186 memory: 6108 grad_norm: 5.6337 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3713 loss: 2.3713 2022/07/22 16:51:46 - mmengine - INFO - Epoch(train) [11][3720/3757] lr: 1.0000e-02 eta: 21:50:12 time: 0.2528 data_time: 0.0209 memory: 6108 grad_norm: 5.5765 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3878 loss: 2.3878 2022/07/22 16:51:51 - mmengine - INFO - Epoch(train) [11][3740/3757] lr: 1.0000e-02 eta: 21:50:07 time: 0.2305 data_time: 0.0263 memory: 6108 grad_norm: 5.4997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4077 loss: 2.4077 2022/07/22 16:51:54 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:51:54 - mmengine - INFO - Epoch(train) [11][3757/3757] lr: 1.0000e-02 eta: 21:50:07 time: 0.1966 data_time: 0.0189 memory: 6108 grad_norm: 5.3641 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1009 loss: 2.1009 2022/07/22 16:51:59 - mmengine - INFO - Epoch(val) [11][20/310] eta: 0:01:16 time: 0.2638 data_time: 0.1862 memory: 1428 2022/07/22 16:52:03 - mmengine - INFO - Epoch(val) [11][40/310] eta: 0:00:48 time: 0.1805 data_time: 0.1031 memory: 1428 2022/07/22 16:52:08 - mmengine - INFO - Epoch(val) [11][60/310] eta: 0:00:59 time: 0.2372 data_time: 0.1602 memory: 1428 2022/07/22 16:52:12 - mmengine - INFO - Epoch(val) [11][80/310] eta: 0:00:45 time: 0.1965 data_time: 0.1210 memory: 1428 2022/07/22 16:52:17 - mmengine - INFO - Epoch(val) [11][100/310] eta: 0:00:49 time: 0.2363 data_time: 0.1529 memory: 1428 2022/07/22 16:52:20 - mmengine - INFO - Epoch(val) [11][120/310] eta: 0:00:37 time: 0.1989 data_time: 0.1240 memory: 1428 2022/07/22 16:52:25 - mmengine - INFO - Epoch(val) [11][140/310] eta: 0:00:37 time: 0.2202 data_time: 0.1445 memory: 1428 2022/07/22 16:52:29 - mmengine - INFO - Epoch(val) [11][160/310] eta: 0:00:33 time: 0.2210 data_time: 0.1466 memory: 1428 2022/07/22 16:52:34 - mmengine - INFO - Epoch(val) [11][180/310] eta: 0:00:29 time: 0.2302 data_time: 0.1396 memory: 1428 2022/07/22 16:52:38 - mmengine - INFO - Epoch(val) [11][200/310] eta: 0:00:19 time: 0.1793 data_time: 0.1045 memory: 1428 2022/07/22 16:52:42 - mmengine - INFO - Epoch(val) [11][220/310] eta: 0:00:21 time: 0.2340 data_time: 0.1569 memory: 1428 2022/07/22 16:52:46 - mmengine - INFO - Epoch(val) [11][240/310] eta: 0:00:14 time: 0.2099 data_time: 0.1320 memory: 1428 2022/07/22 16:52:51 - mmengine - INFO - Epoch(val) [11][260/310] eta: 0:00:11 time: 0.2391 data_time: 0.1661 memory: 1428 2022/07/22 16:52:55 - mmengine - INFO - Epoch(val) [11][280/310] eta: 0:00:05 time: 0.1870 data_time: 0.1092 memory: 1428 2022/07/22 16:52:59 - mmengine - INFO - Epoch(val) [11][300/310] eta: 0:00:02 time: 0.2105 data_time: 0.1392 memory: 1428 2022/07/22 16:53:03 - mmengine - INFO - Epoch(val) [11][310/310] acc/top1: 0.5035 acc/top5: 0.7640 acc/mean1: 0.5035 2022/07/22 16:53:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/07/22 16:53:05 - mmengine - INFO - The best checkpoint with 0.5035 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/07/22 16:53:10 - mmengine - INFO - Epoch(train) [12][20/3757] lr: 1.0000e-02 eta: 21:49:32 time: 0.2746 data_time: 0.0886 memory: 6108 grad_norm: 5.4826 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3530 loss: 2.3530 2022/07/22 16:53:15 - mmengine - INFO - Epoch(train) [12][40/3757] lr: 1.0000e-02 eta: 21:49:26 time: 0.2240 data_time: 0.0246 memory: 6108 grad_norm: 5.4441 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2503 loss: 2.2503 2022/07/22 16:53:20 - mmengine - INFO - Epoch(train) [12][60/3757] lr: 1.0000e-02 eta: 21:49:25 time: 0.2586 data_time: 0.0243 memory: 6108 grad_norm: 5.4201 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2445 loss: 2.2445 2022/07/22 16:53:25 - mmengine - INFO - Epoch(train) [12][80/3757] lr: 1.0000e-02 eta: 21:49:19 time: 0.2285 data_time: 0.0248 memory: 6108 grad_norm: 5.6408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5008 loss: 2.5008 2022/07/22 16:53:29 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 1.0000e-02 eta: 21:49:12 time: 0.2215 data_time: 0.0184 memory: 6108 grad_norm: 5.5179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2577 loss: 2.2577 2022/07/22 16:53:34 - mmengine - INFO - Epoch(train) [12][120/3757] lr: 1.0000e-02 eta: 21:49:07 time: 0.2354 data_time: 0.0213 memory: 6108 grad_norm: 5.6860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2031 loss: 2.2031 2022/07/22 16:53:38 - mmengine - INFO - Epoch(train) [12][140/3757] lr: 1.0000e-02 eta: 21:49:00 time: 0.2191 data_time: 0.0189 memory: 6108 grad_norm: 5.4135 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9836 loss: 1.9836 2022/07/22 16:53:42 - mmengine - INFO - Epoch(train) [12][160/3757] lr: 1.0000e-02 eta: 21:48:53 time: 0.2203 data_time: 0.0214 memory: 6108 grad_norm: 5.4253 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1069 loss: 2.1069 2022/07/22 16:53:48 - mmengine - INFO - Epoch(train) [12][180/3757] lr: 1.0000e-02 eta: 21:48:55 time: 0.2778 data_time: 0.0205 memory: 6108 grad_norm: 5.5090 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4345 loss: 2.4345 2022/07/22 16:53:53 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 1.0000e-02 eta: 21:48:50 time: 0.2306 data_time: 0.0189 memory: 6108 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2217 loss: 2.2217 2022/07/22 16:53:57 - mmengine - INFO - Epoch(train) [12][220/3757] lr: 1.0000e-02 eta: 21:48:44 time: 0.2264 data_time: 0.0264 memory: 6108 grad_norm: 5.7325 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5628 loss: 2.5628 2022/07/22 16:54:02 - mmengine - INFO - Epoch(train) [12][240/3757] lr: 1.0000e-02 eta: 21:48:38 time: 0.2267 data_time: 0.0185 memory: 6108 grad_norm: 5.5074 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6454 loss: 2.6454 2022/07/22 16:54:07 - mmengine - INFO - Epoch(train) [12][260/3757] lr: 1.0000e-02 eta: 21:48:34 time: 0.2414 data_time: 0.0184 memory: 6108 grad_norm: 5.5517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1226 loss: 2.1226 2022/07/22 16:54:11 - mmengine - INFO - Epoch(train) [12][280/3757] lr: 1.0000e-02 eta: 21:48:28 time: 0.2259 data_time: 0.0204 memory: 6108 grad_norm: 5.5345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0687 loss: 2.0687 2022/07/22 16:54:16 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 1.0000e-02 eta: 21:48:23 time: 0.2306 data_time: 0.0205 memory: 6108 grad_norm: 5.6768 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1924 loss: 2.1924 2022/07/22 16:54:20 - mmengine - INFO - Epoch(train) [12][320/3757] lr: 1.0000e-02 eta: 21:48:17 time: 0.2309 data_time: 0.0238 memory: 6108 grad_norm: 5.4593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2411 loss: 2.2411 2022/07/22 16:54:25 - mmengine - INFO - Epoch(train) [12][340/3757] lr: 1.0000e-02 eta: 21:48:14 time: 0.2446 data_time: 0.0231 memory: 6108 grad_norm: 5.7369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3345 loss: 2.3345 2022/07/22 16:54:30 - mmengine - INFO - Epoch(train) [12][360/3757] lr: 1.0000e-02 eta: 21:48:08 time: 0.2244 data_time: 0.0186 memory: 6108 grad_norm: 5.6231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3268 loss: 2.3268 2022/07/22 16:54:35 - mmengine - INFO - Epoch(train) [12][380/3757] lr: 1.0000e-02 eta: 21:48:08 time: 0.2654 data_time: 0.0169 memory: 6108 grad_norm: 5.5077 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4428 loss: 2.4428 2022/07/22 16:54:39 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 1.0000e-02 eta: 21:48:01 time: 0.2233 data_time: 0.0278 memory: 6108 grad_norm: 5.3323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3776 loss: 2.3776 2022/07/22 16:54:44 - mmengine - INFO - Epoch(train) [12][420/3757] lr: 1.0000e-02 eta: 21:47:56 time: 0.2323 data_time: 0.0183 memory: 6108 grad_norm: 5.4736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5836 loss: 2.5836 2022/07/22 16:54:49 - mmengine - INFO - Epoch(train) [12][440/3757] lr: 1.0000e-02 eta: 21:47:49 time: 0.2221 data_time: 0.0240 memory: 6108 grad_norm: 5.5106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2507 loss: 2.2507 2022/07/22 16:54:53 - mmengine - INFO - Epoch(train) [12][460/3757] lr: 1.0000e-02 eta: 21:47:42 time: 0.2212 data_time: 0.0234 memory: 6108 grad_norm: 5.4302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9591 loss: 1.9591 2022/07/22 16:54:58 - mmengine - INFO - Epoch(train) [12][480/3757] lr: 1.0000e-02 eta: 21:47:38 time: 0.2384 data_time: 0.0221 memory: 6108 grad_norm: 5.5724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2104 loss: 2.2104 2022/07/22 16:55:02 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 1.0000e-02 eta: 21:47:33 time: 0.2333 data_time: 0.0211 memory: 6108 grad_norm: 5.5508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3920 loss: 2.3920 2022/07/22 16:55:08 - mmengine - INFO - Epoch(train) [12][520/3757] lr: 1.0000e-02 eta: 21:47:32 time: 0.2584 data_time: 0.0224 memory: 6108 grad_norm: 5.6400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3525 loss: 2.3525 2022/07/22 16:55:12 - mmengine - INFO - Epoch(train) [12][540/3757] lr: 1.0000e-02 eta: 21:47:27 time: 0.2312 data_time: 0.0224 memory: 6108 grad_norm: 5.5018 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2996 loss: 2.2996 2022/07/22 16:55:17 - mmengine - INFO - Epoch(train) [12][560/3757] lr: 1.0000e-02 eta: 21:47:23 time: 0.2400 data_time: 0.0183 memory: 6108 grad_norm: 5.5957 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3991 loss: 2.3991 2022/07/22 16:55:21 - mmengine - INFO - Epoch(train) [12][580/3757] lr: 1.0000e-02 eta: 21:47:16 time: 0.2212 data_time: 0.0238 memory: 6108 grad_norm: 5.4558 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4831 loss: 2.4831 2022/07/22 16:55:26 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 1.0000e-02 eta: 21:47:12 time: 0.2384 data_time: 0.0182 memory: 6108 grad_norm: 5.6613 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1638 loss: 2.1638 2022/07/22 16:55:31 - mmengine - INFO - Epoch(train) [12][620/3757] lr: 1.0000e-02 eta: 21:47:09 time: 0.2438 data_time: 0.0205 memory: 6108 grad_norm: 5.5916 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2333 loss: 2.2333 2022/07/22 16:55:36 - mmengine - INFO - Epoch(train) [12][640/3757] lr: 1.0000e-02 eta: 21:47:05 time: 0.2415 data_time: 0.0180 memory: 6108 grad_norm: 5.6146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1574 loss: 2.1574 2022/07/22 16:55:40 - mmengine - INFO - Epoch(train) [12][660/3757] lr: 1.0000e-02 eta: 21:46:59 time: 0.2246 data_time: 0.0267 memory: 6108 grad_norm: 5.4554 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1962 loss: 2.1962 2022/07/22 16:55:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:55:45 - mmengine - INFO - Epoch(train) [12][680/3757] lr: 1.0000e-02 eta: 21:46:57 time: 0.2518 data_time: 0.0215 memory: 6108 grad_norm: 5.5782 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4735 loss: 2.4735 2022/07/22 16:55:50 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 1.0000e-02 eta: 21:46:52 time: 0.2356 data_time: 0.0264 memory: 6108 grad_norm: 5.5158 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3308 loss: 2.3308 2022/07/22 16:55:55 - mmengine - INFO - Epoch(train) [12][720/3757] lr: 1.0000e-02 eta: 21:46:45 time: 0.2198 data_time: 0.0209 memory: 6108 grad_norm: 5.4417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2387 loss: 2.2387 2022/07/22 16:55:59 - mmengine - INFO - Epoch(train) [12][740/3757] lr: 1.0000e-02 eta: 21:46:39 time: 0.2274 data_time: 0.0219 memory: 6108 grad_norm: 5.4759 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2974 loss: 2.2974 2022/07/22 16:56:04 - mmengine - INFO - Epoch(train) [12][760/3757] lr: 1.0000e-02 eta: 21:46:35 time: 0.2377 data_time: 0.0213 memory: 6108 grad_norm: 5.6455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1146 loss: 2.1146 2022/07/22 16:56:08 - mmengine - INFO - Epoch(train) [12][780/3757] lr: 1.0000e-02 eta: 21:46:28 time: 0.2191 data_time: 0.0196 memory: 6108 grad_norm: 5.6106 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2114 loss: 2.2114 2022/07/22 16:56:13 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 1.0000e-02 eta: 21:46:24 time: 0.2424 data_time: 0.0333 memory: 6108 grad_norm: 5.5930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5729 loss: 2.5729 2022/07/22 16:56:18 - mmengine - INFO - Epoch(train) [12][820/3757] lr: 1.0000e-02 eta: 21:46:23 time: 0.2550 data_time: 0.0587 memory: 6108 grad_norm: 5.4505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3355 loss: 2.3355 2022/07/22 16:56:23 - mmengine - INFO - Epoch(train) [12][840/3757] lr: 1.0000e-02 eta: 21:46:15 time: 0.2180 data_time: 0.0185 memory: 6108 grad_norm: 5.5227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1259 loss: 2.1259 2022/07/22 16:56:27 - mmengine - INFO - Epoch(train) [12][860/3757] lr: 1.0000e-02 eta: 21:46:08 time: 0.2222 data_time: 0.0222 memory: 6108 grad_norm: 5.4644 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2639 loss: 2.2639 2022/07/22 16:56:32 - mmengine - INFO - Epoch(train) [12][880/3757] lr: 1.0000e-02 eta: 21:46:03 time: 0.2283 data_time: 0.0231 memory: 6108 grad_norm: 5.4625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0166 loss: 2.0166 2022/07/22 16:56:36 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 1.0000e-02 eta: 21:45:58 time: 0.2368 data_time: 0.0207 memory: 6108 grad_norm: 5.6741 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4578 loss: 2.4578 2022/07/22 16:56:41 - mmengine - INFO - Epoch(train) [12][920/3757] lr: 1.0000e-02 eta: 21:45:53 time: 0.2326 data_time: 0.0191 memory: 6108 grad_norm: 5.5635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2482 loss: 2.2482 2022/07/22 16:56:46 - mmengine - INFO - Epoch(train) [12][940/3757] lr: 1.0000e-02 eta: 21:45:47 time: 0.2224 data_time: 0.0219 memory: 6108 grad_norm: 5.5603 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4285 loss: 2.4285 2022/07/22 16:56:50 - mmengine - INFO - Epoch(train) [12][960/3757] lr: 1.0000e-02 eta: 21:45:42 time: 0.2349 data_time: 0.0185 memory: 6108 grad_norm: 5.6155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0001 loss: 2.0001 2022/07/22 16:56:55 - mmengine - INFO - Epoch(train) [12][980/3757] lr: 1.0000e-02 eta: 21:45:39 time: 0.2472 data_time: 0.0238 memory: 6108 grad_norm: 5.5105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3986 loss: 2.3986 2022/07/22 16:57:00 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 1.0000e-02 eta: 21:45:36 time: 0.2447 data_time: 0.0264 memory: 6108 grad_norm: 5.5565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3117 loss: 2.3117 2022/07/22 16:57:05 - mmengine - INFO - Epoch(train) [12][1020/3757] lr: 1.0000e-02 eta: 21:45:33 time: 0.2476 data_time: 0.0485 memory: 6108 grad_norm: 5.6328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5003 loss: 2.5003 2022/07/22 16:57:09 - mmengine - INFO - Epoch(train) [12][1040/3757] lr: 1.0000e-02 eta: 21:45:25 time: 0.2158 data_time: 0.0183 memory: 6108 grad_norm: 5.4040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1464 loss: 2.1464 2022/07/22 16:57:15 - mmengine - INFO - Epoch(train) [12][1060/3757] lr: 1.0000e-02 eta: 21:45:27 time: 0.2762 data_time: 0.0226 memory: 6108 grad_norm: 5.3878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1606 loss: 2.1606 2022/07/22 16:57:19 - mmengine - INFO - Epoch(train) [12][1080/3757] lr: 1.0000e-02 eta: 21:45:20 time: 0.2209 data_time: 0.0209 memory: 6108 grad_norm: 5.4573 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5523 loss: 2.5523 2022/07/22 16:57:24 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 1.0000e-02 eta: 21:45:14 time: 0.2237 data_time: 0.0232 memory: 6108 grad_norm: 5.4924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3497 loss: 2.3497 2022/07/22 16:57:28 - mmengine - INFO - Epoch(train) [12][1120/3757] lr: 1.0000e-02 eta: 21:45:07 time: 0.2239 data_time: 0.0242 memory: 6108 grad_norm: 5.6442 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5142 loss: 2.5142 2022/07/22 16:57:33 - mmengine - INFO - Epoch(train) [12][1140/3757] lr: 1.0000e-02 eta: 21:45:02 time: 0.2328 data_time: 0.0173 memory: 6108 grad_norm: 5.3617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1499 loss: 2.1499 2022/07/22 16:57:38 - mmengine - INFO - Epoch(train) [12][1160/3757] lr: 1.0000e-02 eta: 21:45:00 time: 0.2492 data_time: 0.0202 memory: 6108 grad_norm: 5.5181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4012 loss: 2.4012 2022/07/22 16:57:42 - mmengine - INFO - Epoch(train) [12][1180/3757] lr: 1.0000e-02 eta: 21:44:53 time: 0.2222 data_time: 0.0260 memory: 6108 grad_norm: 5.5595 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4063 loss: 2.4063 2022/07/22 16:57:47 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 1.0000e-02 eta: 21:44:47 time: 0.2227 data_time: 0.0193 memory: 6108 grad_norm: 5.4170 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3935 loss: 2.3935 2022/07/22 16:57:51 - mmengine - INFO - Epoch(train) [12][1220/3757] lr: 1.0000e-02 eta: 21:44:40 time: 0.2254 data_time: 0.0185 memory: 6108 grad_norm: 5.6605 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4543 loss: 2.4543 2022/07/22 16:57:56 - mmengine - INFO - Epoch(train) [12][1240/3757] lr: 1.0000e-02 eta: 21:44:38 time: 0.2528 data_time: 0.0228 memory: 6108 grad_norm: 5.6452 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9665 loss: 1.9665 2022/07/22 16:58:01 - mmengine - INFO - Epoch(train) [12][1260/3757] lr: 1.0000e-02 eta: 21:44:32 time: 0.2217 data_time: 0.0192 memory: 6108 grad_norm: 5.6270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3875 loss: 2.3875 2022/07/22 16:58:05 - mmengine - INFO - Epoch(train) [12][1280/3757] lr: 1.0000e-02 eta: 21:44:25 time: 0.2223 data_time: 0.0209 memory: 6108 grad_norm: 5.6118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1446 loss: 2.1446 2022/07/22 16:58:10 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 1.0000e-02 eta: 21:44:21 time: 0.2384 data_time: 0.0209 memory: 6108 grad_norm: 5.4365 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3013 loss: 2.3013 2022/07/22 16:58:15 - mmengine - INFO - Epoch(train) [12][1320/3757] lr: 1.0000e-02 eta: 21:44:17 time: 0.2431 data_time: 0.0281 memory: 6108 grad_norm: 5.5835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3326 loss: 2.3326 2022/07/22 16:58:19 - mmengine - INFO - Epoch(train) [12][1340/3757] lr: 1.0000e-02 eta: 21:44:11 time: 0.2260 data_time: 0.0227 memory: 6108 grad_norm: 5.5133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2316 loss: 2.2316 2022/07/22 16:58:24 - mmengine - INFO - Epoch(train) [12][1360/3757] lr: 1.0000e-02 eta: 21:44:05 time: 0.2266 data_time: 0.0284 memory: 6108 grad_norm: 5.6346 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5593 loss: 2.5593 2022/07/22 16:58:28 - mmengine - INFO - Epoch(train) [12][1380/3757] lr: 1.0000e-02 eta: 21:43:59 time: 0.2261 data_time: 0.0208 memory: 6108 grad_norm: 5.4418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4933 loss: 2.4933 2022/07/22 16:58:33 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 1.0000e-02 eta: 21:43:52 time: 0.2196 data_time: 0.0200 memory: 6108 grad_norm: 5.4556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1195 loss: 2.1195 2022/07/22 16:58:38 - mmengine - INFO - Epoch(train) [12][1420/3757] lr: 1.0000e-02 eta: 21:43:51 time: 0.2557 data_time: 0.0206 memory: 6108 grad_norm: 5.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4579 loss: 2.4579 2022/07/22 16:58:42 - mmengine - INFO - Epoch(train) [12][1440/3757] lr: 1.0000e-02 eta: 21:43:44 time: 0.2237 data_time: 0.0187 memory: 6108 grad_norm: 5.4574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2548 loss: 2.2548 2022/07/22 16:58:47 - mmengine - INFO - Epoch(train) [12][1460/3757] lr: 1.0000e-02 eta: 21:43:39 time: 0.2328 data_time: 0.0219 memory: 6108 grad_norm: 5.4382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3290 loss: 2.3290 2022/07/22 16:58:52 - mmengine - INFO - Epoch(train) [12][1480/3757] lr: 1.0000e-02 eta: 21:43:33 time: 0.2237 data_time: 0.0248 memory: 6108 grad_norm: 5.4779 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2642 loss: 2.2642 2022/07/22 16:58:57 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 1.0000e-02 eta: 21:43:32 time: 0.2585 data_time: 0.0191 memory: 6108 grad_norm: 5.5324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2734 loss: 2.2734 2022/07/22 16:59:01 - mmengine - INFO - Epoch(train) [12][1520/3757] lr: 1.0000e-02 eta: 21:43:25 time: 0.2250 data_time: 0.0237 memory: 6108 grad_norm: 5.5560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3001 loss: 2.3001 2022/07/22 16:59:06 - mmengine - INFO - Epoch(train) [12][1540/3757] lr: 1.0000e-02 eta: 21:43:20 time: 0.2277 data_time: 0.0347 memory: 6108 grad_norm: 5.6188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4868 loss: 2.4868 2022/07/22 16:59:10 - mmengine - INFO - Epoch(train) [12][1560/3757] lr: 1.0000e-02 eta: 21:43:13 time: 0.2236 data_time: 0.0233 memory: 6108 grad_norm: 5.4413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3265 loss: 2.3265 2022/07/22 16:59:15 - mmengine - INFO - Epoch(train) [12][1580/3757] lr: 1.0000e-02 eta: 21:43:08 time: 0.2333 data_time: 0.0211 memory: 6108 grad_norm: 5.4719 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3844 loss: 2.3844 2022/07/22 16:59:20 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 1.0000e-02 eta: 21:43:02 time: 0.2281 data_time: 0.0264 memory: 6108 grad_norm: 5.5862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4333 loss: 2.4333 2022/07/22 16:59:24 - mmengine - INFO - Epoch(train) [12][1620/3757] lr: 1.0000e-02 eta: 21:42:56 time: 0.2240 data_time: 0.0223 memory: 6108 grad_norm: 5.6694 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5671 loss: 2.5671 2022/07/22 16:59:29 - mmengine - INFO - Epoch(train) [12][1640/3757] lr: 1.0000e-02 eta: 21:42:50 time: 0.2272 data_time: 0.0183 memory: 6108 grad_norm: 5.4898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3216 loss: 2.3216 2022/07/22 16:59:33 - mmengine - INFO - Epoch(train) [12][1660/3757] lr: 1.0000e-02 eta: 21:42:46 time: 0.2414 data_time: 0.0273 memory: 6108 grad_norm: 5.3602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4450 loss: 2.4450 2022/07/22 16:59:38 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 16:59:39 - mmengine - INFO - Epoch(train) [12][1680/3757] lr: 1.0000e-02 eta: 21:42:50 time: 0.2867 data_time: 0.0156 memory: 6108 grad_norm: 5.4880 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.4310 loss: 2.4310 2022/07/22 16:59:44 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 1.0000e-02 eta: 21:42:45 time: 0.2343 data_time: 0.0247 memory: 6108 grad_norm: 5.5320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3975 loss: 2.3975 2022/07/22 16:59:48 - mmengine - INFO - Epoch(train) [12][1720/3757] lr: 1.0000e-02 eta: 21:42:39 time: 0.2249 data_time: 0.0190 memory: 6108 grad_norm: 5.6279 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5508 loss: 2.5508 2022/07/22 16:59:53 - mmengine - INFO - Epoch(train) [12][1740/3757] lr: 1.0000e-02 eta: 21:42:33 time: 0.2285 data_time: 0.0173 memory: 6108 grad_norm: 5.5994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3788 loss: 2.3788 2022/07/22 16:59:58 - mmengine - INFO - Epoch(train) [12][1760/3757] lr: 1.0000e-02 eta: 21:42:29 time: 0.2417 data_time: 0.0220 memory: 6108 grad_norm: 5.3642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3390 loss: 2.3390 2022/07/22 17:00:02 - mmengine - INFO - Epoch(train) [12][1780/3757] lr: 1.0000e-02 eta: 21:42:23 time: 0.2221 data_time: 0.0192 memory: 6108 grad_norm: 5.4082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6886 loss: 2.6886 2022/07/22 17:00:07 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 1.0000e-02 eta: 21:42:16 time: 0.2239 data_time: 0.0203 memory: 6108 grad_norm: 5.3832 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1736 loss: 2.1736 2022/07/22 17:00:11 - mmengine - INFO - Epoch(train) [12][1820/3757] lr: 1.0000e-02 eta: 21:42:11 time: 0.2322 data_time: 0.0262 memory: 6108 grad_norm: 5.5891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2186 loss: 2.2186 2022/07/22 17:00:16 - mmengine - INFO - Epoch(train) [12][1840/3757] lr: 1.0000e-02 eta: 21:42:06 time: 0.2336 data_time: 0.0163 memory: 6108 grad_norm: 5.5398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0563 loss: 2.0563 2022/07/22 17:00:21 - mmengine - INFO - Epoch(train) [12][1860/3757] lr: 1.0000e-02 eta: 21:42:02 time: 0.2355 data_time: 0.0215 memory: 6108 grad_norm: 5.7776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3563 loss: 2.3563 2022/07/22 17:00:25 - mmengine - INFO - Epoch(train) [12][1880/3757] lr: 1.0000e-02 eta: 21:41:57 time: 0.2334 data_time: 0.0208 memory: 6108 grad_norm: 5.5350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0817 loss: 2.0817 2022/07/22 17:00:30 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 1.0000e-02 eta: 21:41:51 time: 0.2263 data_time: 0.0246 memory: 6108 grad_norm: 5.5901 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3762 loss: 2.3762 2022/07/22 17:00:35 - mmengine - INFO - Epoch(train) [12][1920/3757] lr: 1.0000e-02 eta: 21:41:48 time: 0.2498 data_time: 0.0246 memory: 6108 grad_norm: 5.4048 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3086 loss: 2.3086 2022/07/22 17:00:39 - mmengine - INFO - Epoch(train) [12][1940/3757] lr: 1.0000e-02 eta: 21:41:41 time: 0.2209 data_time: 0.0229 memory: 6108 grad_norm: 5.5974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2313 loss: 2.2313 2022/07/22 17:00:44 - mmengine - INFO - Epoch(train) [12][1960/3757] lr: 1.0000e-02 eta: 21:41:38 time: 0.2446 data_time: 0.0205 memory: 6108 grad_norm: 5.6315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0752 loss: 2.0752 2022/07/22 17:00:49 - mmengine - INFO - Epoch(train) [12][1980/3757] lr: 1.0000e-02 eta: 21:41:33 time: 0.2291 data_time: 0.0173 memory: 6108 grad_norm: 5.4399 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1862 loss: 2.1862 2022/07/22 17:00:53 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 1.0000e-02 eta: 21:41:26 time: 0.2229 data_time: 0.0270 memory: 6108 grad_norm: 5.6075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2149 loss: 2.2149 2022/07/22 17:00:58 - mmengine - INFO - Epoch(train) [12][2020/3757] lr: 1.0000e-02 eta: 21:41:22 time: 0.2366 data_time: 0.0212 memory: 6108 grad_norm: 5.6377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6908 loss: 2.6908 2022/07/22 17:01:03 - mmengine - INFO - Epoch(train) [12][2040/3757] lr: 1.0000e-02 eta: 21:41:15 time: 0.2225 data_time: 0.0229 memory: 6108 grad_norm: 5.6977 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5242 loss: 2.5242 2022/07/22 17:01:07 - mmengine - INFO - Epoch(train) [12][2060/3757] lr: 1.0000e-02 eta: 21:41:10 time: 0.2314 data_time: 0.0210 memory: 6108 grad_norm: 5.5969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4669 loss: 2.4669 2022/07/22 17:01:12 - mmengine - INFO - Epoch(train) [12][2080/3757] lr: 1.0000e-02 eta: 21:41:04 time: 0.2260 data_time: 0.0166 memory: 6108 grad_norm: 5.5667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4167 loss: 2.4167 2022/07/22 17:01:17 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 1.0000e-02 eta: 21:41:04 time: 0.2671 data_time: 0.0175 memory: 6108 grad_norm: 5.6208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0022 loss: 2.0022 2022/07/22 17:01:22 - mmengine - INFO - Epoch(train) [12][2120/3757] lr: 1.0000e-02 eta: 21:40:58 time: 0.2267 data_time: 0.0247 memory: 6108 grad_norm: 5.4396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4675 loss: 2.4675 2022/07/22 17:01:26 - mmengine - INFO - Epoch(train) [12][2140/3757] lr: 1.0000e-02 eta: 21:40:53 time: 0.2340 data_time: 0.0224 memory: 6108 grad_norm: 5.3978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0961 loss: 2.0961 2022/07/22 17:01:31 - mmengine - INFO - Epoch(train) [12][2160/3757] lr: 1.0000e-02 eta: 21:40:47 time: 0.2226 data_time: 0.0249 memory: 6108 grad_norm: 5.4964 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/07/22 17:01:36 - mmengine - INFO - Epoch(train) [12][2180/3757] lr: 1.0000e-02 eta: 21:40:46 time: 0.2607 data_time: 0.0267 memory: 6108 grad_norm: 5.4846 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3048 loss: 2.3048 2022/07/22 17:01:40 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 1.0000e-02 eta: 21:40:40 time: 0.2259 data_time: 0.0200 memory: 6108 grad_norm: 5.5504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1873 loss: 2.1873 2022/07/22 17:01:45 - mmengine - INFO - Epoch(train) [12][2220/3757] lr: 1.0000e-02 eta: 21:40:33 time: 0.2212 data_time: 0.0195 memory: 6108 grad_norm: 5.5872 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5597 loss: 2.5597 2022/07/22 17:01:49 - mmengine - INFO - Epoch(train) [12][2240/3757] lr: 1.0000e-02 eta: 21:40:27 time: 0.2267 data_time: 0.0226 memory: 6108 grad_norm: 5.4265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0616 loss: 2.0616 2022/07/22 17:01:54 - mmengine - INFO - Epoch(train) [12][2260/3757] lr: 1.0000e-02 eta: 21:40:23 time: 0.2427 data_time: 0.0196 memory: 6108 grad_norm: 5.4878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1603 loss: 2.1603 2022/07/22 17:01:59 - mmengine - INFO - Epoch(train) [12][2280/3757] lr: 1.0000e-02 eta: 21:40:18 time: 0.2300 data_time: 0.0207 memory: 6108 grad_norm: 5.4505 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1164 loss: 2.1164 2022/07/22 17:02:04 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 1.0000e-02 eta: 21:40:13 time: 0.2323 data_time: 0.0250 memory: 6108 grad_norm: 5.6851 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1913 loss: 2.1913 2022/07/22 17:02:08 - mmengine - INFO - Epoch(train) [12][2320/3757] lr: 1.0000e-02 eta: 21:40:07 time: 0.2277 data_time: 0.0266 memory: 6108 grad_norm: 5.5091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4432 loss: 2.4432 2022/07/22 17:02:13 - mmengine - INFO - Epoch(train) [12][2340/3757] lr: 1.0000e-02 eta: 21:40:02 time: 0.2342 data_time: 0.0184 memory: 6108 grad_norm: 5.4217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3965 loss: 2.3965 2022/07/22 17:02:18 - mmengine - INFO - Epoch(train) [12][2360/3757] lr: 1.0000e-02 eta: 21:39:59 time: 0.2469 data_time: 0.0188 memory: 6108 grad_norm: 5.5857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3435 loss: 2.3435 2022/07/22 17:02:22 - mmengine - INFO - Epoch(train) [12][2380/3757] lr: 1.0000e-02 eta: 21:39:55 time: 0.2344 data_time: 0.0234 memory: 6108 grad_norm: 5.4282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0412 loss: 2.0412 2022/07/22 17:02:27 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 1.0000e-02 eta: 21:39:51 time: 0.2445 data_time: 0.0202 memory: 6108 grad_norm: 5.6040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4631 loss: 2.4631 2022/07/22 17:02:32 - mmengine - INFO - Epoch(train) [12][2420/3757] lr: 1.0000e-02 eta: 21:39:47 time: 0.2340 data_time: 0.0225 memory: 6108 grad_norm: 5.5245 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3751 loss: 2.3751 2022/07/22 17:02:37 - mmengine - INFO - Epoch(train) [12][2440/3757] lr: 1.0000e-02 eta: 21:39:43 time: 0.2399 data_time: 0.0208 memory: 6108 grad_norm: 5.5545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5742 loss: 2.5742 2022/07/22 17:02:41 - mmengine - INFO - Epoch(train) [12][2460/3757] lr: 1.0000e-02 eta: 21:39:35 time: 0.2179 data_time: 0.0173 memory: 6108 grad_norm: 5.7552 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3810 loss: 2.3810 2022/07/22 17:02:46 - mmengine - INFO - Epoch(train) [12][2480/3757] lr: 1.0000e-02 eta: 21:39:29 time: 0.2261 data_time: 0.0206 memory: 6108 grad_norm: 5.5860 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6579 loss: 2.6579 2022/07/22 17:02:51 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 1.0000e-02 eta: 21:39:25 time: 0.2386 data_time: 0.0184 memory: 6108 grad_norm: 5.5305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5606 loss: 2.5606 2022/07/22 17:02:55 - mmengine - INFO - Epoch(train) [12][2520/3757] lr: 1.0000e-02 eta: 21:39:21 time: 0.2391 data_time: 0.0197 memory: 6108 grad_norm: 5.4613 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2834 loss: 2.2834 2022/07/22 17:03:00 - mmengine - INFO - Epoch(train) [12][2540/3757] lr: 1.0000e-02 eta: 21:39:15 time: 0.2279 data_time: 0.0238 memory: 6108 grad_norm: 5.5312 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5444 loss: 2.5444 2022/07/22 17:03:04 - mmengine - INFO - Epoch(train) [12][2560/3757] lr: 1.0000e-02 eta: 21:39:10 time: 0.2293 data_time: 0.0222 memory: 6108 grad_norm: 5.6070 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5425 loss: 2.5425 2022/07/22 17:03:09 - mmengine - INFO - Epoch(train) [12][2580/3757] lr: 1.0000e-02 eta: 21:39:04 time: 0.2250 data_time: 0.0239 memory: 6108 grad_norm: 5.5376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4352 loss: 2.4352 2022/07/22 17:03:13 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 1.0000e-02 eta: 21:38:57 time: 0.2214 data_time: 0.0236 memory: 6108 grad_norm: 5.7226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0712 loss: 2.0712 2022/07/22 17:03:18 - mmengine - INFO - Epoch(train) [12][2620/3757] lr: 1.0000e-02 eta: 21:38:51 time: 0.2300 data_time: 0.0236 memory: 6108 grad_norm: 5.6303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6146 loss: 2.6146 2022/07/22 17:03:23 - mmengine - INFO - Epoch(train) [12][2640/3757] lr: 1.0000e-02 eta: 21:38:48 time: 0.2423 data_time: 0.0421 memory: 6108 grad_norm: 5.4885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1064 loss: 2.1064 2022/07/22 17:03:27 - mmengine - INFO - Epoch(train) [12][2660/3757] lr: 1.0000e-02 eta: 21:38:43 time: 0.2327 data_time: 0.0248 memory: 6108 grad_norm: 5.6092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5314 loss: 2.5314 2022/07/22 17:03:31 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:03:32 - mmengine - INFO - Epoch(train) [12][2680/3757] lr: 1.0000e-02 eta: 21:38:37 time: 0.2292 data_time: 0.0266 memory: 6108 grad_norm: 5.4870 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2444 loss: 2.2444 2022/07/22 17:03:37 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 1.0000e-02 eta: 21:38:34 time: 0.2456 data_time: 0.0220 memory: 6108 grad_norm: 5.4007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4039 loss: 2.4039 2022/07/22 17:03:42 - mmengine - INFO - Epoch(train) [12][2720/3757] lr: 1.0000e-02 eta: 21:38:28 time: 0.2246 data_time: 0.0223 memory: 6108 grad_norm: 5.2959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1642 loss: 2.1642 2022/07/22 17:03:47 - mmengine - INFO - Epoch(train) [12][2740/3757] lr: 1.0000e-02 eta: 21:38:26 time: 0.2547 data_time: 0.0161 memory: 6108 grad_norm: 5.6468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1809 loss: 2.1809 2022/07/22 17:03:51 - mmengine - INFO - Epoch(train) [12][2760/3757] lr: 1.0000e-02 eta: 21:38:20 time: 0.2259 data_time: 0.0203 memory: 6108 grad_norm: 5.7142 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5767 loss: 2.5767 2022/07/22 17:03:56 - mmengine - INFO - Epoch(train) [12][2780/3757] lr: 1.0000e-02 eta: 21:38:14 time: 0.2286 data_time: 0.0245 memory: 6108 grad_norm: 5.2877 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3729 loss: 2.3729 2022/07/22 17:04:01 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 1.0000e-02 eta: 21:38:12 time: 0.2527 data_time: 0.0168 memory: 6108 grad_norm: 5.3910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1606 loss: 2.1606 2022/07/22 17:04:05 - mmengine - INFO - Epoch(train) [12][2820/3757] lr: 1.0000e-02 eta: 21:38:06 time: 0.2239 data_time: 0.0265 memory: 6108 grad_norm: 5.5120 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3583 loss: 2.3583 2022/07/22 17:04:10 - mmengine - INFO - Epoch(train) [12][2840/3757] lr: 1.0000e-02 eta: 21:38:01 time: 0.2343 data_time: 0.0271 memory: 6108 grad_norm: 5.5359 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6186 loss: 2.6186 2022/07/22 17:04:15 - mmengine - INFO - Epoch(train) [12][2860/3757] lr: 1.0000e-02 eta: 21:37:57 time: 0.2371 data_time: 0.0273 memory: 6108 grad_norm: 5.7547 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9078 loss: 2.9078 2022/07/22 17:04:19 - mmengine - INFO - Epoch(train) [12][2880/3757] lr: 1.0000e-02 eta: 21:37:50 time: 0.2211 data_time: 0.0233 memory: 6108 grad_norm: 5.5567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2289 loss: 2.2289 2022/07/22 17:04:24 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 1.0000e-02 eta: 21:37:44 time: 0.2279 data_time: 0.0247 memory: 6108 grad_norm: 5.5124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1767 loss: 2.1767 2022/07/22 17:04:28 - mmengine - INFO - Epoch(train) [12][2920/3757] lr: 1.0000e-02 eta: 21:37:40 time: 0.2342 data_time: 0.0206 memory: 6108 grad_norm: 5.4012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3378 loss: 2.3378 2022/07/22 17:04:33 - mmengine - INFO - Epoch(train) [12][2940/3757] lr: 1.0000e-02 eta: 21:37:35 time: 0.2353 data_time: 0.0249 memory: 6108 grad_norm: 5.5007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2055 loss: 2.2055 2022/07/22 17:04:38 - mmengine - INFO - Epoch(train) [12][2960/3757] lr: 1.0000e-02 eta: 21:37:32 time: 0.2439 data_time: 0.0194 memory: 6108 grad_norm: 5.7530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3536 loss: 2.3536 2022/07/22 17:04:42 - mmengine - INFO - Epoch(train) [12][2980/3757] lr: 1.0000e-02 eta: 21:37:25 time: 0.2203 data_time: 0.0211 memory: 6108 grad_norm: 5.5673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4084 loss: 2.4084 2022/07/22 17:04:47 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 1.0000e-02 eta: 21:37:22 time: 0.2482 data_time: 0.0179 memory: 6108 grad_norm: 5.6929 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3958 loss: 2.3958 2022/07/22 17:04:52 - mmengine - INFO - Epoch(train) [12][3020/3757] lr: 1.0000e-02 eta: 21:37:15 time: 0.2208 data_time: 0.0233 memory: 6108 grad_norm: 5.6338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1354 loss: 2.1354 2022/07/22 17:04:56 - mmengine - INFO - Epoch(train) [12][3040/3757] lr: 1.0000e-02 eta: 21:37:10 time: 0.2318 data_time: 0.0212 memory: 6108 grad_norm: 5.5018 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1154 loss: 2.1154 2022/07/22 17:05:01 - mmengine - INFO - Epoch(train) [12][3060/3757] lr: 1.0000e-02 eta: 21:37:06 time: 0.2399 data_time: 0.0269 memory: 6108 grad_norm: 5.5135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4258 loss: 2.4258 2022/07/22 17:05:06 - mmengine - INFO - Epoch(train) [12][3080/3757] lr: 1.0000e-02 eta: 21:37:02 time: 0.2385 data_time: 0.0255 memory: 6108 grad_norm: 5.5507 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1025 loss: 2.1025 2022/07/22 17:05:11 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 1.0000e-02 eta: 21:36:59 time: 0.2490 data_time: 0.0215 memory: 6108 grad_norm: 5.4710 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3797 loss: 2.3797 2022/07/22 17:05:16 - mmengine - INFO - Epoch(train) [12][3120/3757] lr: 1.0000e-02 eta: 21:36:54 time: 0.2332 data_time: 0.0195 memory: 6108 grad_norm: 5.6601 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3627 loss: 2.3627 2022/07/22 17:05:20 - mmengine - INFO - Epoch(train) [12][3140/3757] lr: 1.0000e-02 eta: 21:36:48 time: 0.2225 data_time: 0.0318 memory: 6108 grad_norm: 5.4217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3456 loss: 2.3456 2022/07/22 17:05:25 - mmengine - INFO - Epoch(train) [12][3160/3757] lr: 1.0000e-02 eta: 21:36:44 time: 0.2438 data_time: 0.0205 memory: 6108 grad_norm: 5.6389 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6119 loss: 2.6119 2022/07/22 17:05:29 - mmengine - INFO - Epoch(train) [12][3180/3757] lr: 1.0000e-02 eta: 21:36:38 time: 0.2222 data_time: 0.0255 memory: 6108 grad_norm: 5.5484 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3485 loss: 2.3485 2022/07/22 17:05:34 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 1.0000e-02 eta: 21:36:32 time: 0.2264 data_time: 0.0216 memory: 6108 grad_norm: 5.5771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5812 loss: 2.5812 2022/07/22 17:05:39 - mmengine - INFO - Epoch(train) [12][3220/3757] lr: 1.0000e-02 eta: 21:36:26 time: 0.2295 data_time: 0.0191 memory: 6108 grad_norm: 5.5672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4032 loss: 2.4032 2022/07/22 17:05:43 - mmengine - INFO - Epoch(train) [12][3240/3757] lr: 1.0000e-02 eta: 21:36:20 time: 0.2218 data_time: 0.0240 memory: 6108 grad_norm: 5.3474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1004 loss: 2.1004 2022/07/22 17:05:48 - mmengine - INFO - Epoch(train) [12][3260/3757] lr: 1.0000e-02 eta: 21:36:14 time: 0.2287 data_time: 0.0235 memory: 6108 grad_norm: 5.2936 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0640 loss: 2.0640 2022/07/22 17:05:52 - mmengine - INFO - Epoch(train) [12][3280/3757] lr: 1.0000e-02 eta: 21:36:11 time: 0.2470 data_time: 0.0199 memory: 6108 grad_norm: 5.4968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1627 loss: 2.1627 2022/07/22 17:05:57 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 1.0000e-02 eta: 21:36:07 time: 0.2354 data_time: 0.0189 memory: 6108 grad_norm: 5.6413 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2826 loss: 2.2826 2022/07/22 17:06:02 - mmengine - INFO - Epoch(train) [12][3320/3757] lr: 1.0000e-02 eta: 21:36:00 time: 0.2211 data_time: 0.0287 memory: 6108 grad_norm: 5.5778 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2685 loss: 2.2685 2022/07/22 17:06:06 - mmengine - INFO - Epoch(train) [12][3340/3757] lr: 1.0000e-02 eta: 21:35:53 time: 0.2215 data_time: 0.0204 memory: 6108 grad_norm: 5.6042 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4340 loss: 2.4340 2022/07/22 17:06:11 - mmengine - INFO - Epoch(train) [12][3360/3757] lr: 1.0000e-02 eta: 21:35:46 time: 0.2211 data_time: 0.0242 memory: 6108 grad_norm: 5.5047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1492 loss: 2.1492 2022/07/22 17:06:15 - mmengine - INFO - Epoch(train) [12][3380/3757] lr: 1.0000e-02 eta: 21:35:43 time: 0.2437 data_time: 0.0243 memory: 6108 grad_norm: 5.6477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3784 loss: 2.3784 2022/07/22 17:06:20 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 1.0000e-02 eta: 21:35:36 time: 0.2218 data_time: 0.0176 memory: 6108 grad_norm: 5.5283 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3159 loss: 2.3159 2022/07/22 17:06:25 - mmengine - INFO - Epoch(train) [12][3420/3757] lr: 1.0000e-02 eta: 21:35:35 time: 0.2564 data_time: 0.0198 memory: 6108 grad_norm: 5.5755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2728 loss: 2.2728 2022/07/22 17:06:29 - mmengine - INFO - Epoch(train) [12][3440/3757] lr: 1.0000e-02 eta: 21:35:28 time: 0.2226 data_time: 0.0218 memory: 6108 grad_norm: 5.3595 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4440 loss: 2.4440 2022/07/22 17:06:34 - mmengine - INFO - Epoch(train) [12][3460/3757] lr: 1.0000e-02 eta: 21:35:22 time: 0.2221 data_time: 0.0171 memory: 6108 grad_norm: 5.3628 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2335 loss: 2.2335 2022/07/22 17:06:39 - mmengine - INFO - Epoch(train) [12][3480/3757] lr: 1.0000e-02 eta: 21:35:19 time: 0.2460 data_time: 0.0226 memory: 6108 grad_norm: 5.4016 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4980 loss: 2.4980 2022/07/22 17:06:43 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 1.0000e-02 eta: 21:35:14 time: 0.2354 data_time: 0.0235 memory: 6108 grad_norm: 5.6894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3708 loss: 2.3708 2022/07/22 17:06:48 - mmengine - INFO - Epoch(train) [12][3520/3757] lr: 1.0000e-02 eta: 21:35:09 time: 0.2291 data_time: 0.0224 memory: 6108 grad_norm: 5.5191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8435 loss: 1.8435 2022/07/22 17:06:53 - mmengine - INFO - Epoch(train) [12][3540/3757] lr: 1.0000e-02 eta: 21:35:06 time: 0.2478 data_time: 0.0188 memory: 6108 grad_norm: 5.5435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5164 loss: 2.5164 2022/07/22 17:06:58 - mmengine - INFO - Epoch(train) [12][3560/3757] lr: 1.0000e-02 eta: 21:35:00 time: 0.2276 data_time: 0.0261 memory: 6108 grad_norm: 5.6671 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1733 loss: 2.1733 2022/07/22 17:07:02 - mmengine - INFO - Epoch(train) [12][3580/3757] lr: 1.0000e-02 eta: 21:34:53 time: 0.2226 data_time: 0.0193 memory: 6108 grad_norm: 5.6225 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1287 loss: 2.1287 2022/07/22 17:07:06 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 1.0000e-02 eta: 21:34:47 time: 0.2202 data_time: 0.0196 memory: 6108 grad_norm: 5.4651 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2005 loss: 2.2005 2022/07/22 17:07:11 - mmengine - INFO - Epoch(train) [12][3620/3757] lr: 1.0000e-02 eta: 21:34:42 time: 0.2350 data_time: 0.0240 memory: 6108 grad_norm: 5.6291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9157 loss: 1.9157 2022/07/22 17:07:16 - mmengine - INFO - Epoch(train) [12][3640/3757] lr: 1.0000e-02 eta: 21:34:38 time: 0.2373 data_time: 0.0196 memory: 6108 grad_norm: 5.5857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3681 loss: 2.3681 2022/07/22 17:07:20 - mmengine - INFO - Epoch(train) [12][3660/3757] lr: 1.0000e-02 eta: 21:34:32 time: 0.2276 data_time: 0.0208 memory: 6108 grad_norm: 5.6698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4445 loss: 2.4445 2022/07/22 17:07:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:07:25 - mmengine - INFO - Epoch(train) [12][3680/3757] lr: 1.0000e-02 eta: 21:34:25 time: 0.2198 data_time: 0.0185 memory: 6108 grad_norm: 5.5468 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2336 loss: 2.2336 2022/07/22 17:07:30 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 1.0000e-02 eta: 21:34:23 time: 0.2516 data_time: 0.0215 memory: 6108 grad_norm: 5.5892 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4255 loss: 2.4255 2022/07/22 17:07:35 - mmengine - INFO - Epoch(train) [12][3720/3757] lr: 1.0000e-02 eta: 21:34:18 time: 0.2344 data_time: 0.0170 memory: 6108 grad_norm: 5.4475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3632 loss: 2.3632 2022/07/22 17:07:40 - mmengine - INFO - Epoch(train) [12][3740/3757] lr: 1.0000e-02 eta: 21:34:15 time: 0.2446 data_time: 0.0244 memory: 6108 grad_norm: 5.4984 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4332 loss: 2.4332 2022/07/22 17:07:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:07:43 - mmengine - INFO - Epoch(train) [12][3757/3757] lr: 1.0000e-02 eta: 21:34:15 time: 0.2158 data_time: 0.0165 memory: 6108 grad_norm: 5.5839 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.2948 loss: 2.2948 2022/07/22 17:07:48 - mmengine - INFO - Epoch(val) [12][20/310] eta: 0:01:21 time: 0.2813 data_time: 0.1969 memory: 1428 2022/07/22 17:07:52 - mmengine - INFO - Epoch(val) [12][40/310] eta: 0:00:48 time: 0.1794 data_time: 0.1006 memory: 1428 2022/07/22 17:07:56 - mmengine - INFO - Epoch(val) [12][60/310] eta: 0:00:54 time: 0.2181 data_time: 0.1461 memory: 1428 2022/07/22 17:08:01 - mmengine - INFO - Epoch(val) [12][80/310] eta: 0:00:48 time: 0.2129 data_time: 0.1377 memory: 1428 2022/07/22 17:08:05 - mmengine - INFO - Epoch(val) [12][100/310] eta: 0:00:45 time: 0.2168 data_time: 0.1251 memory: 1428 2022/07/22 17:08:09 - mmengine - INFO - Epoch(val) [12][120/310] eta: 0:00:38 time: 0.2022 data_time: 0.1258 memory: 1428 2022/07/22 17:08:14 - mmengine - INFO - Epoch(val) [12][140/310] eta: 0:00:41 time: 0.2458 data_time: 0.1697 memory: 1428 2022/07/22 17:08:18 - mmengine - INFO - Epoch(val) [12][160/310] eta: 0:00:29 time: 0.2000 data_time: 0.1278 memory: 1428 2022/07/22 17:08:22 - mmengine - INFO - Epoch(val) [12][180/310] eta: 0:00:29 time: 0.2256 data_time: 0.1529 memory: 1428 2022/07/22 17:08:26 - mmengine - INFO - Epoch(val) [12][200/310] eta: 0:00:20 time: 0.1853 data_time: 0.1005 memory: 1428 2022/07/22 17:08:31 - mmengine - INFO - Epoch(val) [12][220/310] eta: 0:00:20 time: 0.2326 data_time: 0.1566 memory: 1428 2022/07/22 17:08:35 - mmengine - INFO - Epoch(val) [12][240/310] eta: 0:00:12 time: 0.1839 data_time: 0.1104 memory: 1428 2022/07/22 17:08:39 - mmengine - INFO - Epoch(val) [12][260/310] eta: 0:00:12 time: 0.2483 data_time: 0.1712 memory: 1428 2022/07/22 17:08:43 - mmengine - INFO - Epoch(val) [12][280/310] eta: 0:00:05 time: 0.1950 data_time: 0.1222 memory: 1428 2022/07/22 17:08:48 - mmengine - INFO - Epoch(val) [12][300/310] eta: 0:00:02 time: 0.2198 data_time: 0.1473 memory: 1428 2022/07/22 17:08:52 - mmengine - INFO - Epoch(val) [12][310/310] acc/top1: 0.5014 acc/top5: 0.7667 acc/mean1: 0.5013 2022/07/22 17:08:58 - mmengine - INFO - Epoch(train) [13][20/3757] lr: 1.0000e-02 eta: 21:33:48 time: 0.3144 data_time: 0.1170 memory: 6108 grad_norm: 5.3678 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3351 loss: 2.3351 2022/07/22 17:09:03 - mmengine - INFO - Epoch(train) [13][40/3757] lr: 1.0000e-02 eta: 21:33:45 time: 0.2412 data_time: 0.0428 memory: 6108 grad_norm: 5.4351 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4602 loss: 2.4602 2022/07/22 17:09:08 - mmengine - INFO - Epoch(train) [13][60/3757] lr: 1.0000e-02 eta: 21:33:43 time: 0.2561 data_time: 0.0500 memory: 6108 grad_norm: 5.4089 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1915 loss: 2.1915 2022/07/22 17:09:13 - mmengine - INFO - Epoch(train) [13][80/3757] lr: 1.0000e-02 eta: 21:33:40 time: 0.2434 data_time: 0.0185 memory: 6108 grad_norm: 5.4542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2479 loss: 2.2479 2022/07/22 17:09:18 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 1.0000e-02 eta: 21:33:36 time: 0.2411 data_time: 0.0154 memory: 6108 grad_norm: 5.5158 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1611 loss: 2.1611 2022/07/22 17:09:22 - mmengine - INFO - Epoch(train) [13][120/3757] lr: 1.0000e-02 eta: 21:33:30 time: 0.2267 data_time: 0.0293 memory: 6108 grad_norm: 5.4662 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3314 loss: 2.3314 2022/07/22 17:09:27 - mmengine - INFO - Epoch(train) [13][140/3757] lr: 1.0000e-02 eta: 21:33:24 time: 0.2264 data_time: 0.0235 memory: 6108 grad_norm: 5.5623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0335 loss: 2.0335 2022/07/22 17:09:31 - mmengine - INFO - Epoch(train) [13][160/3757] lr: 1.0000e-02 eta: 21:33:17 time: 0.2192 data_time: 0.0191 memory: 6108 grad_norm: 5.5672 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3959 loss: 2.3959 2022/07/22 17:09:36 - mmengine - INFO - Epoch(train) [13][180/3757] lr: 1.0000e-02 eta: 21:33:11 time: 0.2281 data_time: 0.0214 memory: 6108 grad_norm: 5.2990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/07/22 17:09:41 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 1.0000e-02 eta: 21:33:07 time: 0.2392 data_time: 0.0331 memory: 6108 grad_norm: 5.6599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2228 loss: 2.2228 2022/07/22 17:09:46 - mmengine - INFO - Epoch(train) [13][220/3757] lr: 1.0000e-02 eta: 21:33:05 time: 0.2521 data_time: 0.0332 memory: 6108 grad_norm: 5.4641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2543 loss: 2.2543 2022/07/22 17:09:50 - mmengine - INFO - Epoch(train) [13][240/3757] lr: 1.0000e-02 eta: 21:32:59 time: 0.2233 data_time: 0.0257 memory: 6108 grad_norm: 5.5793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4696 loss: 2.4696 2022/07/22 17:09:55 - mmengine - INFO - Epoch(train) [13][260/3757] lr: 1.0000e-02 eta: 21:32:56 time: 0.2500 data_time: 0.0285 memory: 6108 grad_norm: 5.5297 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2766 loss: 2.2766 2022/07/22 17:10:00 - mmengine - INFO - Epoch(train) [13][280/3757] lr: 1.0000e-02 eta: 21:32:51 time: 0.2336 data_time: 0.0182 memory: 6108 grad_norm: 5.5828 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5008 loss: 2.5008 2022/07/22 17:10:04 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 1.0000e-02 eta: 21:32:45 time: 0.2232 data_time: 0.0202 memory: 6108 grad_norm: 5.5038 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/07/22 17:10:09 - mmengine - INFO - Epoch(train) [13][320/3757] lr: 1.0000e-02 eta: 21:32:39 time: 0.2272 data_time: 0.0239 memory: 6108 grad_norm: 5.6412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1870 loss: 2.1870 2022/07/22 17:10:13 - mmengine - INFO - Epoch(train) [13][340/3757] lr: 1.0000e-02 eta: 21:32:32 time: 0.2209 data_time: 0.0245 memory: 6108 grad_norm: 5.3806 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1635 loss: 2.1635 2022/07/22 17:10:18 - mmengine - INFO - Epoch(train) [13][360/3757] lr: 1.0000e-02 eta: 21:32:30 time: 0.2487 data_time: 0.0317 memory: 6108 grad_norm: 5.3945 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1746 loss: 2.1746 2022/07/22 17:10:23 - mmengine - INFO - Epoch(train) [13][380/3757] lr: 1.0000e-02 eta: 21:32:26 time: 0.2446 data_time: 0.0228 memory: 6108 grad_norm: 5.4942 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5973 loss: 2.5973 2022/07/22 17:10:29 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 1.0000e-02 eta: 21:32:31 time: 0.2966 data_time: 0.0154 memory: 6108 grad_norm: 5.6081 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3435 loss: 2.3435 2022/07/22 17:10:34 - mmengine - INFO - Epoch(train) [13][420/3757] lr: 1.0000e-02 eta: 21:32:25 time: 0.2303 data_time: 0.0203 memory: 6108 grad_norm: 5.5718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3914 loss: 2.3914 2022/07/22 17:10:38 - mmengine - INFO - Epoch(train) [13][440/3757] lr: 1.0000e-02 eta: 21:32:19 time: 0.2231 data_time: 0.0221 memory: 6108 grad_norm: 5.5844 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5400 loss: 2.5400 2022/07/22 17:10:43 - mmengine - INFO - Epoch(train) [13][460/3757] lr: 1.0000e-02 eta: 21:32:13 time: 0.2235 data_time: 0.0198 memory: 6108 grad_norm: 5.5171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2158 loss: 2.2158 2022/07/22 17:10:48 - mmengine - INFO - Epoch(train) [13][480/3757] lr: 1.0000e-02 eta: 21:32:11 time: 0.2561 data_time: 0.0304 memory: 6108 grad_norm: 5.6170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2087 loss: 2.2087 2022/07/22 17:10:52 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 1.0000e-02 eta: 21:32:06 time: 0.2303 data_time: 0.0168 memory: 6108 grad_norm: 5.3358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0353 loss: 2.0353 2022/07/22 17:10:57 - mmengine - INFO - Epoch(train) [13][520/3757] lr: 1.0000e-02 eta: 21:32:02 time: 0.2386 data_time: 0.0241 memory: 6108 grad_norm: 5.4612 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5233 loss: 2.5233 2022/07/22 17:11:02 - mmengine - INFO - Epoch(train) [13][540/3757] lr: 1.0000e-02 eta: 21:31:56 time: 0.2264 data_time: 0.0212 memory: 6108 grad_norm: 5.4732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4522 loss: 2.4522 2022/07/22 17:11:06 - mmengine - INFO - Epoch(train) [13][560/3757] lr: 1.0000e-02 eta: 21:31:51 time: 0.2334 data_time: 0.0209 memory: 6108 grad_norm: 5.3390 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1676 loss: 2.1676 2022/07/22 17:11:11 - mmengine - INFO - Epoch(train) [13][580/3757] lr: 1.0000e-02 eta: 21:31:44 time: 0.2237 data_time: 0.0253 memory: 6108 grad_norm: 5.5776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5796 loss: 2.5796 2022/07/22 17:11:15 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 1.0000e-02 eta: 21:31:38 time: 0.2214 data_time: 0.0235 memory: 6108 grad_norm: 5.3398 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1393 loss: 2.1393 2022/07/22 17:11:21 - mmengine - INFO - Epoch(train) [13][620/3757] lr: 1.0000e-02 eta: 21:31:37 time: 0.2632 data_time: 0.0358 memory: 6108 grad_norm: 5.5029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4266 loss: 2.4266 2022/07/22 17:11:25 - mmengine - INFO - Epoch(train) [13][640/3757] lr: 1.0000e-02 eta: 21:31:31 time: 0.2260 data_time: 0.0202 memory: 6108 grad_norm: 5.4387 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0140 loss: 2.0140 2022/07/22 17:11:30 - mmengine - INFO - Epoch(train) [13][660/3757] lr: 1.0000e-02 eta: 21:31:26 time: 0.2306 data_time: 0.0305 memory: 6108 grad_norm: 5.5834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4344 loss: 2.4344 2022/07/22 17:11:34 - mmengine - INFO - Epoch(train) [13][680/3757] lr: 1.0000e-02 eta: 21:31:19 time: 0.2199 data_time: 0.0189 memory: 6108 grad_norm: 5.4558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9263 loss: 1.9263 2022/07/22 17:11:39 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 1.0000e-02 eta: 21:31:15 time: 0.2390 data_time: 0.0190 memory: 6108 grad_norm: 5.5969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3492 loss: 2.3492 2022/07/22 17:11:44 - mmengine - INFO - Epoch(train) [13][720/3757] lr: 1.0000e-02 eta: 21:31:09 time: 0.2288 data_time: 0.0219 memory: 6108 grad_norm: 5.4209 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2965 loss: 2.2965 2022/07/22 17:11:48 - mmengine - INFO - Epoch(train) [13][740/3757] lr: 1.0000e-02 eta: 21:31:04 time: 0.2331 data_time: 0.0236 memory: 6108 grad_norm: 5.5625 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2142 loss: 2.2142 2022/07/22 17:11:53 - mmengine - INFO - Epoch(train) [13][760/3757] lr: 1.0000e-02 eta: 21:30:58 time: 0.2250 data_time: 0.0199 memory: 6108 grad_norm: 5.6673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2233 loss: 2.2233 2022/07/22 17:11:57 - mmengine - INFO - Epoch(train) [13][780/3757] lr: 1.0000e-02 eta: 21:30:54 time: 0.2350 data_time: 0.0221 memory: 6108 grad_norm: 5.6385 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0830 loss: 2.0830 2022/07/22 17:12:02 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 1.0000e-02 eta: 21:30:47 time: 0.2187 data_time: 0.0229 memory: 6108 grad_norm: 5.5875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4297 loss: 2.4297 2022/07/22 17:12:07 - mmengine - INFO - Epoch(train) [13][820/3757] lr: 1.0000e-02 eta: 21:30:43 time: 0.2400 data_time: 0.0213 memory: 6108 grad_norm: 5.6308 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2319 loss: 2.2319 2022/07/22 17:12:11 - mmengine - INFO - Epoch(train) [13][840/3757] lr: 1.0000e-02 eta: 21:30:38 time: 0.2343 data_time: 0.0204 memory: 6108 grad_norm: 5.6904 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5027 loss: 2.5027 2022/07/22 17:12:16 - mmengine - INFO - Epoch(train) [13][860/3757] lr: 1.0000e-02 eta: 21:30:33 time: 0.2331 data_time: 0.0194 memory: 6108 grad_norm: 5.5872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5483 loss: 2.5483 2022/07/22 17:12:21 - mmengine - INFO - Epoch(train) [13][880/3757] lr: 1.0000e-02 eta: 21:30:28 time: 0.2358 data_time: 0.0204 memory: 6108 grad_norm: 5.3549 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3372 loss: 2.3372 2022/07/22 17:12:25 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 1.0000e-02 eta: 21:30:23 time: 0.2297 data_time: 0.0244 memory: 6108 grad_norm: 5.4055 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3651 loss: 2.3651 2022/07/22 17:12:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:12:30 - mmengine - INFO - Epoch(train) [13][920/3757] lr: 1.0000e-02 eta: 21:30:21 time: 0.2523 data_time: 0.0182 memory: 6108 grad_norm: 5.4338 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3673 loss: 2.3673 2022/07/22 17:12:36 - mmengine - INFO - Epoch(train) [13][940/3757] lr: 1.0000e-02 eta: 21:30:20 time: 0.2618 data_time: 0.0191 memory: 6108 grad_norm: 5.5087 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0394 loss: 2.0394 2022/07/22 17:12:40 - mmengine - INFO - Epoch(train) [13][960/3757] lr: 1.0000e-02 eta: 21:30:12 time: 0.2155 data_time: 0.0185 memory: 6108 grad_norm: 5.5176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7025 loss: 2.7025 2022/07/22 17:12:44 - mmengine - INFO - Epoch(train) [13][980/3757] lr: 1.0000e-02 eta: 21:30:07 time: 0.2265 data_time: 0.0232 memory: 6108 grad_norm: 5.7639 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0833 loss: 2.0833 2022/07/22 17:12:49 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 1.0000e-02 eta: 21:30:02 time: 0.2327 data_time: 0.0211 memory: 6108 grad_norm: 5.5967 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3029 loss: 2.3029 2022/07/22 17:12:54 - mmengine - INFO - Epoch(train) [13][1020/3757] lr: 1.0000e-02 eta: 21:29:59 time: 0.2526 data_time: 0.0506 memory: 6108 grad_norm: 5.4732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3649 loss: 2.3649 2022/07/22 17:12:59 - mmengine - INFO - Epoch(train) [13][1040/3757] lr: 1.0000e-02 eta: 21:29:55 time: 0.2386 data_time: 0.0214 memory: 6108 grad_norm: 5.5539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/07/22 17:13:03 - mmengine - INFO - Epoch(train) [13][1060/3757] lr: 1.0000e-02 eta: 21:29:48 time: 0.2202 data_time: 0.0181 memory: 6108 grad_norm: 5.6432 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5888 loss: 2.5888 2022/07/22 17:13:08 - mmengine - INFO - Epoch(train) [13][1080/3757] lr: 1.0000e-02 eta: 21:29:42 time: 0.2251 data_time: 0.0213 memory: 6108 grad_norm: 5.5467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1360 loss: 2.1360 2022/07/22 17:13:12 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 1.0000e-02 eta: 21:29:37 time: 0.2291 data_time: 0.0186 memory: 6108 grad_norm: 5.8078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5197 loss: 2.5197 2022/07/22 17:13:17 - mmengine - INFO - Epoch(train) [13][1120/3757] lr: 1.0000e-02 eta: 21:29:34 time: 0.2454 data_time: 0.0187 memory: 6108 grad_norm: 5.6446 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7094 loss: 2.7094 2022/07/22 17:13:22 - mmengine - INFO - Epoch(train) [13][1140/3757] lr: 1.0000e-02 eta: 21:29:28 time: 0.2294 data_time: 0.0205 memory: 6108 grad_norm: 5.5952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3245 loss: 2.3245 2022/07/22 17:13:27 - mmengine - INFO - Epoch(train) [13][1160/3757] lr: 1.0000e-02 eta: 21:29:26 time: 0.2525 data_time: 0.0210 memory: 6108 grad_norm: 5.5667 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2611 loss: 2.2611 2022/07/22 17:13:32 - mmengine - INFO - Epoch(train) [13][1180/3757] lr: 1.0000e-02 eta: 21:29:20 time: 0.2257 data_time: 0.0222 memory: 6108 grad_norm: 5.5505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3975 loss: 2.3975 2022/07/22 17:13:36 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 1.0000e-02 eta: 21:29:16 time: 0.2392 data_time: 0.0241 memory: 6108 grad_norm: 5.6222 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2138 loss: 2.2138 2022/07/22 17:13:41 - mmengine - INFO - Epoch(train) [13][1220/3757] lr: 1.0000e-02 eta: 21:29:12 time: 0.2421 data_time: 0.0476 memory: 6108 grad_norm: 5.5302 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2830 loss: 2.2830 2022/07/22 17:13:46 - mmengine - INFO - Epoch(train) [13][1240/3757] lr: 1.0000e-02 eta: 21:29:10 time: 0.2534 data_time: 0.0258 memory: 6108 grad_norm: 5.5052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2894 loss: 2.2894 2022/07/22 17:13:51 - mmengine - INFO - Epoch(train) [13][1260/3757] lr: 1.0000e-02 eta: 21:29:04 time: 0.2227 data_time: 0.0250 memory: 6108 grad_norm: 5.5135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1714 loss: 2.1714 2022/07/22 17:13:55 - mmengine - INFO - Epoch(train) [13][1280/3757] lr: 1.0000e-02 eta: 21:28:58 time: 0.2293 data_time: 0.0194 memory: 6108 grad_norm: 5.6060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2714 loss: 2.2714 2022/07/22 17:14:00 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 1.0000e-02 eta: 21:28:52 time: 0.2196 data_time: 0.0224 memory: 6108 grad_norm: 5.4972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2901 loss: 2.2901 2022/07/22 17:14:04 - mmengine - INFO - Epoch(train) [13][1320/3757] lr: 1.0000e-02 eta: 21:28:46 time: 0.2264 data_time: 0.0232 memory: 6108 grad_norm: 5.5344 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.4351 loss: 2.4351 2022/07/22 17:14:09 - mmengine - INFO - Epoch(train) [13][1340/3757] lr: 1.0000e-02 eta: 21:28:40 time: 0.2285 data_time: 0.0260 memory: 6108 grad_norm: 5.5100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4382 loss: 2.4382 2022/07/22 17:14:13 - mmengine - INFO - Epoch(train) [13][1360/3757] lr: 1.0000e-02 eta: 21:28:34 time: 0.2253 data_time: 0.0199 memory: 6108 grad_norm: 5.4983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1695 loss: 2.1695 2022/07/22 17:14:18 - mmengine - INFO - Epoch(train) [13][1380/3757] lr: 1.0000e-02 eta: 21:28:30 time: 0.2380 data_time: 0.0235 memory: 6108 grad_norm: 5.5675 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5155 loss: 2.5155 2022/07/22 17:14:23 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 1.0000e-02 eta: 21:28:24 time: 0.2262 data_time: 0.0242 memory: 6108 grad_norm: 5.6146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3233 loss: 2.3233 2022/07/22 17:14:27 - mmengine - INFO - Epoch(train) [13][1420/3757] lr: 1.0000e-02 eta: 21:28:18 time: 0.2263 data_time: 0.0191 memory: 6108 grad_norm: 5.5578 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9554 loss: 1.9554 2022/07/22 17:14:32 - mmengine - INFO - Epoch(train) [13][1440/3757] lr: 1.0000e-02 eta: 21:28:14 time: 0.2404 data_time: 0.0205 memory: 6108 grad_norm: 5.4219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2686 loss: 2.2686 2022/07/22 17:14:37 - mmengine - INFO - Epoch(train) [13][1460/3757] lr: 1.0000e-02 eta: 21:28:11 time: 0.2453 data_time: 0.0222 memory: 6108 grad_norm: 5.4953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4730 loss: 2.4730 2022/07/22 17:14:42 - mmengine - INFO - Epoch(train) [13][1480/3757] lr: 1.0000e-02 eta: 21:28:06 time: 0.2353 data_time: 0.0201 memory: 6108 grad_norm: 5.4683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1840 loss: 2.1840 2022/07/22 17:14:46 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 1.0000e-02 eta: 21:28:01 time: 0.2321 data_time: 0.0243 memory: 6108 grad_norm: 5.5328 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1355 loss: 2.1355 2022/07/22 17:14:51 - mmengine - INFO - Epoch(train) [13][1520/3757] lr: 1.0000e-02 eta: 21:27:57 time: 0.2372 data_time: 0.0227 memory: 6108 grad_norm: 5.7008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5431 loss: 2.5431 2022/07/22 17:14:56 - mmengine - INFO - Epoch(train) [13][1540/3757] lr: 1.0000e-02 eta: 21:27:53 time: 0.2410 data_time: 0.0196 memory: 6108 grad_norm: 5.8025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5964 loss: 2.5964 2022/07/22 17:15:00 - mmengine - INFO - Epoch(train) [13][1560/3757] lr: 1.0000e-02 eta: 21:27:47 time: 0.2271 data_time: 0.0195 memory: 6108 grad_norm: 5.5542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4794 loss: 2.4794 2022/07/22 17:15:05 - mmengine - INFO - Epoch(train) [13][1580/3757] lr: 1.0000e-02 eta: 21:27:41 time: 0.2213 data_time: 0.0257 memory: 6108 grad_norm: 5.6518 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6449 loss: 2.6449 2022/07/22 17:15:09 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 1.0000e-02 eta: 21:27:36 time: 0.2369 data_time: 0.0192 memory: 6108 grad_norm: 5.3372 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6424 loss: 2.6424 2022/07/22 17:15:14 - mmengine - INFO - Epoch(train) [13][1620/3757] lr: 1.0000e-02 eta: 21:27:30 time: 0.2229 data_time: 0.0216 memory: 6108 grad_norm: 5.4197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4709 loss: 2.4709 2022/07/22 17:15:19 - mmengine - INFO - Epoch(train) [13][1640/3757] lr: 1.0000e-02 eta: 21:27:28 time: 0.2582 data_time: 0.0219 memory: 6108 grad_norm: 5.4686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3293 loss: 2.3293 2022/07/22 17:15:24 - mmengine - INFO - Epoch(train) [13][1660/3757] lr: 1.0000e-02 eta: 21:27:22 time: 0.2256 data_time: 0.0267 memory: 6108 grad_norm: 5.5137 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3446 loss: 2.3446 2022/07/22 17:15:28 - mmengine - INFO - Epoch(train) [13][1680/3757] lr: 1.0000e-02 eta: 21:27:16 time: 0.2220 data_time: 0.0235 memory: 6108 grad_norm: 5.6761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0962 loss: 2.0962 2022/07/22 17:15:33 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 1.0000e-02 eta: 21:27:10 time: 0.2253 data_time: 0.0184 memory: 6108 grad_norm: 5.5628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2424 loss: 2.2424 2022/07/22 17:15:37 - mmengine - INFO - Epoch(train) [13][1720/3757] lr: 1.0000e-02 eta: 21:27:05 time: 0.2342 data_time: 0.0218 memory: 6108 grad_norm: 5.5807 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3836 loss: 2.3836 2022/07/22 17:15:42 - mmengine - INFO - Epoch(train) [13][1740/3757] lr: 1.0000e-02 eta: 21:26:59 time: 0.2250 data_time: 0.0227 memory: 6108 grad_norm: 5.6019 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5854 loss: 2.5854 2022/07/22 17:15:46 - mmengine - INFO - Epoch(train) [13][1760/3757] lr: 1.0000e-02 eta: 21:26:54 time: 0.2308 data_time: 0.0179 memory: 6108 grad_norm: 5.3257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5744 loss: 2.5744 2022/07/22 17:15:51 - mmengine - INFO - Epoch(train) [13][1780/3757] lr: 1.0000e-02 eta: 21:26:49 time: 0.2360 data_time: 0.0180 memory: 6108 grad_norm: 5.5704 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4599 loss: 2.4599 2022/07/22 17:15:56 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 1.0000e-02 eta: 21:26:49 time: 0.2674 data_time: 0.0224 memory: 6108 grad_norm: 5.4391 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2514 loss: 2.2514 2022/07/22 17:16:01 - mmengine - INFO - Epoch(train) [13][1820/3757] lr: 1.0000e-02 eta: 21:26:44 time: 0.2319 data_time: 0.0257 memory: 6108 grad_norm: 5.4444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0584 loss: 2.0584 2022/07/22 17:16:06 - mmengine - INFO - Epoch(train) [13][1840/3757] lr: 1.0000e-02 eta: 21:26:41 time: 0.2485 data_time: 0.0191 memory: 6108 grad_norm: 5.6694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4738 loss: 2.4738 2022/07/22 17:16:11 - mmengine - INFO - Epoch(train) [13][1860/3757] lr: 1.0000e-02 eta: 21:26:35 time: 0.2227 data_time: 0.0224 memory: 6108 grad_norm: 5.3710 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4844 loss: 2.4844 2022/07/22 17:16:15 - mmengine - INFO - Epoch(train) [13][1880/3757] lr: 1.0000e-02 eta: 21:26:31 time: 0.2434 data_time: 0.0230 memory: 6108 grad_norm: 5.3596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5148 loss: 2.5148 2022/07/22 17:16:20 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 1.0000e-02 eta: 21:26:25 time: 0.2237 data_time: 0.0210 memory: 6108 grad_norm: 5.5902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4070 loss: 2.4070 2022/07/22 17:16:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:16:24 - mmengine - INFO - Epoch(train) [13][1920/3757] lr: 1.0000e-02 eta: 21:26:19 time: 0.2261 data_time: 0.0258 memory: 6108 grad_norm: 5.5685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2860 loss: 2.2860 2022/07/22 17:16:29 - mmengine - INFO - Epoch(train) [13][1940/3757] lr: 1.0000e-02 eta: 21:26:14 time: 0.2345 data_time: 0.0195 memory: 6108 grad_norm: 5.7187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4018 loss: 2.4018 2022/07/22 17:16:34 - mmengine - INFO - Epoch(train) [13][1960/3757] lr: 1.0000e-02 eta: 21:26:09 time: 0.2280 data_time: 0.0248 memory: 6108 grad_norm: 5.5218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1070 loss: 2.1070 2022/07/22 17:16:39 - mmengine - INFO - Epoch(train) [13][1980/3757] lr: 1.0000e-02 eta: 21:26:06 time: 0.2507 data_time: 0.0220 memory: 6108 grad_norm: 5.4479 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4330 loss: 2.4330 2022/07/22 17:16:43 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 1.0000e-02 eta: 21:26:00 time: 0.2219 data_time: 0.0304 memory: 6108 grad_norm: 5.3344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0475 loss: 2.0475 2022/07/22 17:16:48 - mmengine - INFO - Epoch(train) [13][2020/3757] lr: 1.0000e-02 eta: 21:25:55 time: 0.2379 data_time: 0.0250 memory: 6108 grad_norm: 5.5290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2083 loss: 2.2083 2022/07/22 17:16:53 - mmengine - INFO - Epoch(train) [13][2040/3757] lr: 1.0000e-02 eta: 21:25:50 time: 0.2324 data_time: 0.0219 memory: 6108 grad_norm: 5.5407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4160 loss: 2.4160 2022/07/22 17:16:57 - mmengine - INFO - Epoch(train) [13][2060/3757] lr: 1.0000e-02 eta: 21:25:45 time: 0.2264 data_time: 0.0169 memory: 6108 grad_norm: 5.6136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2249 loss: 2.2249 2022/07/22 17:17:02 - mmengine - INFO - Epoch(train) [13][2080/3757] lr: 1.0000e-02 eta: 21:25:39 time: 0.2299 data_time: 0.0197 memory: 6108 grad_norm: 5.5166 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3385 loss: 2.3385 2022/07/22 17:17:06 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 1.0000e-02 eta: 21:25:34 time: 0.2345 data_time: 0.0247 memory: 6108 grad_norm: 5.4737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1897 loss: 2.1897 2022/07/22 17:17:11 - mmengine - INFO - Epoch(train) [13][2120/3757] lr: 1.0000e-02 eta: 21:25:28 time: 0.2221 data_time: 0.0233 memory: 6108 grad_norm: 5.3252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2648 loss: 2.2648 2022/07/22 17:17:16 - mmengine - INFO - Epoch(train) [13][2140/3757] lr: 1.0000e-02 eta: 21:25:27 time: 0.2645 data_time: 0.0178 memory: 6108 grad_norm: 5.5528 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2096 loss: 2.2096 2022/07/22 17:17:21 - mmengine - INFO - Epoch(train) [13][2160/3757] lr: 1.0000e-02 eta: 21:25:21 time: 0.2198 data_time: 0.0268 memory: 6108 grad_norm: 5.5873 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3293 loss: 2.3293 2022/07/22 17:17:25 - mmengine - INFO - Epoch(train) [13][2180/3757] lr: 1.0000e-02 eta: 21:25:14 time: 0.2209 data_time: 0.0189 memory: 6108 grad_norm: 5.3853 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0791 loss: 2.0791 2022/07/22 17:17:30 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 1.0000e-02 eta: 21:25:11 time: 0.2457 data_time: 0.0242 memory: 6108 grad_norm: 5.4382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4465 loss: 2.4465 2022/07/22 17:17:34 - mmengine - INFO - Epoch(train) [13][2220/3757] lr: 1.0000e-02 eta: 21:25:05 time: 0.2241 data_time: 0.0197 memory: 6108 grad_norm: 5.6074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4239 loss: 2.4239 2022/07/22 17:17:39 - mmengine - INFO - Epoch(train) [13][2240/3757] lr: 1.0000e-02 eta: 21:25:00 time: 0.2350 data_time: 0.0198 memory: 6108 grad_norm: 5.3183 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2696 loss: 2.2696 2022/07/22 17:17:44 - mmengine - INFO - Epoch(train) [13][2260/3757] lr: 1.0000e-02 eta: 21:24:57 time: 0.2437 data_time: 0.0192 memory: 6108 grad_norm: 5.5834 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2985 loss: 2.2985 2022/07/22 17:17:48 - mmengine - INFO - Epoch(train) [13][2280/3757] lr: 1.0000e-02 eta: 21:24:50 time: 0.2241 data_time: 0.0252 memory: 6108 grad_norm: 5.5622 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3203 loss: 2.3203 2022/07/22 17:17:53 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 1.0000e-02 eta: 21:24:46 time: 0.2366 data_time: 0.0221 memory: 6108 grad_norm: 5.5070 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2567 loss: 2.2567 2022/07/22 17:17:58 - mmengine - INFO - Epoch(train) [13][2320/3757] lr: 1.0000e-02 eta: 21:24:43 time: 0.2506 data_time: 0.0219 memory: 6108 grad_norm: 5.4593 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2199 loss: 2.2199 2022/07/22 17:18:03 - mmengine - INFO - Epoch(train) [13][2340/3757] lr: 1.0000e-02 eta: 21:24:37 time: 0.2218 data_time: 0.0215 memory: 6108 grad_norm: 5.5058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2808 loss: 2.2808 2022/07/22 17:18:08 - mmengine - INFO - Epoch(train) [13][2360/3757] lr: 1.0000e-02 eta: 21:24:34 time: 0.2444 data_time: 0.0226 memory: 6108 grad_norm: 5.4579 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2294 loss: 2.2294 2022/07/22 17:18:12 - mmengine - INFO - Epoch(train) [13][2380/3757] lr: 1.0000e-02 eta: 21:24:27 time: 0.2225 data_time: 0.0207 memory: 6108 grad_norm: 5.7427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3230 loss: 2.3230 2022/07/22 17:18:16 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 1.0000e-02 eta: 21:24:21 time: 0.2226 data_time: 0.0225 memory: 6108 grad_norm: 5.3055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1576 loss: 2.1576 2022/07/22 17:18:22 - mmengine - INFO - Epoch(train) [13][2420/3757] lr: 1.0000e-02 eta: 21:24:21 time: 0.2722 data_time: 0.0749 memory: 6108 grad_norm: 5.4894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3916 loss: 2.3916 2022/07/22 17:18:26 - mmengine - INFO - Epoch(train) [13][2440/3757] lr: 1.0000e-02 eta: 21:24:15 time: 0.2232 data_time: 0.0188 memory: 6108 grad_norm: 5.6491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3987 loss: 2.3987 2022/07/22 17:18:31 - mmengine - INFO - Epoch(train) [13][2460/3757] lr: 1.0000e-02 eta: 21:24:09 time: 0.2291 data_time: 0.0252 memory: 6108 grad_norm: 5.7905 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4407 loss: 2.4407 2022/07/22 17:18:35 - mmengine - INFO - Epoch(train) [13][2480/3757] lr: 1.0000e-02 eta: 21:24:03 time: 0.2199 data_time: 0.0221 memory: 6108 grad_norm: 5.5726 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3084 loss: 2.3084 2022/07/22 17:18:40 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 1.0000e-02 eta: 21:23:58 time: 0.2328 data_time: 0.0241 memory: 6108 grad_norm: 5.5421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1758 loss: 2.1758 2022/07/22 17:18:45 - mmengine - INFO - Epoch(train) [13][2520/3757] lr: 1.0000e-02 eta: 21:23:53 time: 0.2320 data_time: 0.0235 memory: 6108 grad_norm: 5.4968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4233 loss: 2.4233 2022/07/22 17:18:49 - mmengine - INFO - Epoch(train) [13][2540/3757] lr: 1.0000e-02 eta: 21:23:48 time: 0.2386 data_time: 0.0197 memory: 6108 grad_norm: 5.4446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2116 loss: 2.2116 2022/07/22 17:18:54 - mmengine - INFO - Epoch(train) [13][2560/3757] lr: 1.0000e-02 eta: 21:23:44 time: 0.2392 data_time: 0.0172 memory: 6108 grad_norm: 5.4710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2851 loss: 2.2851 2022/07/22 17:18:59 - mmengine - INFO - Epoch(train) [13][2580/3757] lr: 1.0000e-02 eta: 21:23:39 time: 0.2303 data_time: 0.0256 memory: 6108 grad_norm: 5.4059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2757 loss: 2.2757 2022/07/22 17:19:04 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 1.0000e-02 eta: 21:23:37 time: 0.2502 data_time: 0.0232 memory: 6108 grad_norm: 5.3814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7639 loss: 2.7639 2022/07/22 17:19:08 - mmengine - INFO - Epoch(train) [13][2620/3757] lr: 1.0000e-02 eta: 21:23:31 time: 0.2287 data_time: 0.0193 memory: 6108 grad_norm: 5.4161 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0098 loss: 2.0098 2022/07/22 17:19:13 - mmengine - INFO - Epoch(train) [13][2640/3757] lr: 1.0000e-02 eta: 21:23:25 time: 0.2233 data_time: 0.0232 memory: 6108 grad_norm: 5.6296 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3115 loss: 2.3115 2022/07/22 17:19:17 - mmengine - INFO - Epoch(train) [13][2660/3757] lr: 1.0000e-02 eta: 21:23:18 time: 0.2234 data_time: 0.0220 memory: 6108 grad_norm: 5.4312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2418 loss: 2.2418 2022/07/22 17:19:22 - mmengine - INFO - Epoch(train) [13][2680/3757] lr: 1.0000e-02 eta: 21:23:12 time: 0.2204 data_time: 0.0207 memory: 6108 grad_norm: 5.6391 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2925 loss: 2.2925 2022/07/22 17:19:27 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 1.0000e-02 eta: 21:23:11 time: 0.2649 data_time: 0.0230 memory: 6108 grad_norm: 5.6386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6329 loss: 2.6329 2022/07/22 17:19:32 - mmengine - INFO - Epoch(train) [13][2720/3757] lr: 1.0000e-02 eta: 21:23:05 time: 0.2217 data_time: 0.0174 memory: 6108 grad_norm: 5.4898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0728 loss: 2.0728 2022/07/22 17:19:36 - mmengine - INFO - Epoch(train) [13][2740/3757] lr: 1.0000e-02 eta: 21:23:00 time: 0.2359 data_time: 0.0324 memory: 6108 grad_norm: 5.6117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1306 loss: 2.1306 2022/07/22 17:19:41 - mmengine - INFO - Epoch(train) [13][2760/3757] lr: 1.0000e-02 eta: 21:22:55 time: 0.2317 data_time: 0.0293 memory: 6108 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3305 loss: 2.3305 2022/07/22 17:19:45 - mmengine - INFO - Epoch(train) [13][2780/3757] lr: 1.0000e-02 eta: 21:22:48 time: 0.2206 data_time: 0.0214 memory: 6108 grad_norm: 5.3433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4438 loss: 2.4438 2022/07/22 17:19:50 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 1.0000e-02 eta: 21:22:46 time: 0.2510 data_time: 0.0168 memory: 6108 grad_norm: 5.6161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8370 loss: 2.8370 2022/07/22 17:19:55 - mmengine - INFO - Epoch(train) [13][2820/3757] lr: 1.0000e-02 eta: 21:22:40 time: 0.2267 data_time: 0.0290 memory: 6108 grad_norm: 5.6397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1012 loss: 2.1012 2022/07/22 17:19:59 - mmengine - INFO - Epoch(train) [13][2840/3757] lr: 1.0000e-02 eta: 21:22:35 time: 0.2279 data_time: 0.0204 memory: 6108 grad_norm: 5.4798 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3598 loss: 2.3598 2022/07/22 17:20:04 - mmengine - INFO - Epoch(train) [13][2860/3757] lr: 1.0000e-02 eta: 21:22:32 time: 0.2473 data_time: 0.0216 memory: 6108 grad_norm: 5.6392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1704 loss: 2.1704 2022/07/22 17:20:09 - mmengine - INFO - Epoch(train) [13][2880/3757] lr: 1.0000e-02 eta: 21:22:27 time: 0.2325 data_time: 0.0220 memory: 6108 grad_norm: 5.7670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0122 loss: 3.0122 2022/07/22 17:20:14 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 1.0000e-02 eta: 21:22:20 time: 0.2226 data_time: 0.0226 memory: 6108 grad_norm: 5.3019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1039 loss: 2.1039 2022/07/22 17:20:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:20:18 - mmengine - INFO - Epoch(train) [13][2920/3757] lr: 1.0000e-02 eta: 21:22:16 time: 0.2400 data_time: 0.0202 memory: 6108 grad_norm: 5.5909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3826 loss: 2.3826 2022/07/22 17:20:23 - mmengine - INFO - Epoch(train) [13][2940/3757] lr: 1.0000e-02 eta: 21:22:10 time: 0.2245 data_time: 0.0265 memory: 6108 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2658 loss: 2.2658 2022/07/22 17:20:28 - mmengine - INFO - Epoch(train) [13][2960/3757] lr: 1.0000e-02 eta: 21:22:06 time: 0.2380 data_time: 0.0230 memory: 6108 grad_norm: 5.5442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3900 loss: 2.3900 2022/07/22 17:20:32 - mmengine - INFO - Epoch(train) [13][2980/3757] lr: 1.0000e-02 eta: 21:21:59 time: 0.2207 data_time: 0.0233 memory: 6108 grad_norm: 5.4968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1537 loss: 2.1537 2022/07/22 17:20:37 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 1.0000e-02 eta: 21:21:54 time: 0.2322 data_time: 0.0238 memory: 6108 grad_norm: 5.6418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1208 loss: 2.1208 2022/07/22 17:20:41 - mmengine - INFO - Epoch(train) [13][3020/3757] lr: 1.0000e-02 eta: 21:21:50 time: 0.2363 data_time: 0.0190 memory: 6108 grad_norm: 5.3912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2338 loss: 2.2338 2022/07/22 17:20:46 - mmengine - INFO - Epoch(train) [13][3040/3757] lr: 1.0000e-02 eta: 21:21:46 time: 0.2451 data_time: 0.0214 memory: 6108 grad_norm: 5.3730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1894 loss: 2.1894 2022/07/22 17:20:51 - mmengine - INFO - Epoch(train) [13][3060/3757] lr: 1.0000e-02 eta: 21:21:42 time: 0.2388 data_time: 0.0216 memory: 6108 grad_norm: 5.5564 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4019 loss: 2.4019 2022/07/22 17:20:56 - mmengine - INFO - Epoch(train) [13][3080/3757] lr: 1.0000e-02 eta: 21:21:38 time: 0.2362 data_time: 0.0183 memory: 6108 grad_norm: 5.6566 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2486 loss: 2.2486 2022/07/22 17:21:00 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 1.0000e-02 eta: 21:21:32 time: 0.2277 data_time: 0.0183 memory: 6108 grad_norm: 5.5191 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3015 loss: 2.3015 2022/07/22 17:21:05 - mmengine - INFO - Epoch(train) [13][3120/3757] lr: 1.0000e-02 eta: 21:21:27 time: 0.2319 data_time: 0.0233 memory: 6108 grad_norm: 5.4531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4618 loss: 2.4618 2022/07/22 17:21:10 - mmengine - INFO - Epoch(train) [13][3140/3757] lr: 1.0000e-02 eta: 21:21:24 time: 0.2478 data_time: 0.0209 memory: 6108 grad_norm: 5.5796 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0838 loss: 2.0838 2022/07/22 17:21:15 - mmengine - INFO - Epoch(train) [13][3160/3757] lr: 1.0000e-02 eta: 21:21:19 time: 0.2284 data_time: 0.0218 memory: 6108 grad_norm: 5.5594 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3933 loss: 2.3933 2022/07/22 17:21:19 - mmengine - INFO - Epoch(train) [13][3180/3757] lr: 1.0000e-02 eta: 21:21:13 time: 0.2250 data_time: 0.0254 memory: 6108 grad_norm: 5.4633 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1595 loss: 2.1595 2022/07/22 17:21:24 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 1.0000e-02 eta: 21:21:07 time: 0.2268 data_time: 0.0169 memory: 6108 grad_norm: 5.4813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4272 loss: 2.4272 2022/07/22 17:21:28 - mmengine - INFO - Epoch(train) [13][3220/3757] lr: 1.0000e-02 eta: 21:21:02 time: 0.2336 data_time: 0.0191 memory: 6108 grad_norm: 5.5853 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4878 loss: 2.4878 2022/07/22 17:21:33 - mmengine - INFO - Epoch(train) [13][3240/3757] lr: 1.0000e-02 eta: 21:20:57 time: 0.2304 data_time: 0.0213 memory: 6108 grad_norm: 5.5225 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3137 loss: 2.3137 2022/07/22 17:21:37 - mmengine - INFO - Epoch(train) [13][3260/3757] lr: 1.0000e-02 eta: 21:20:50 time: 0.2223 data_time: 0.0231 memory: 6108 grad_norm: 5.6219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5020 loss: 2.5020 2022/07/22 17:21:42 - mmengine - INFO - Epoch(train) [13][3280/3757] lr: 1.0000e-02 eta: 21:20:46 time: 0.2370 data_time: 0.0203 memory: 6108 grad_norm: 5.5681 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2602 loss: 2.2602 2022/07/22 17:21:47 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 1.0000e-02 eta: 21:20:42 time: 0.2385 data_time: 0.0197 memory: 6108 grad_norm: 5.4237 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.1567 loss: 2.1567 2022/07/22 17:21:51 - mmengine - INFO - Epoch(train) [13][3320/3757] lr: 1.0000e-02 eta: 21:20:36 time: 0.2274 data_time: 0.0243 memory: 6108 grad_norm: 5.5439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3716 loss: 2.3716 2022/07/22 17:21:56 - mmengine - INFO - Epoch(train) [13][3340/3757] lr: 1.0000e-02 eta: 21:20:33 time: 0.2456 data_time: 0.0351 memory: 6108 grad_norm: 5.5474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2745 loss: 2.2745 2022/07/22 17:22:01 - mmengine - INFO - Epoch(train) [13][3360/3757] lr: 1.0000e-02 eta: 21:20:29 time: 0.2454 data_time: 0.0491 memory: 6108 grad_norm: 5.5084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2993 loss: 2.2993 2022/07/22 17:22:06 - mmengine - INFO - Epoch(train) [13][3380/3757] lr: 1.0000e-02 eta: 21:20:24 time: 0.2277 data_time: 0.0290 memory: 6108 grad_norm: 5.6047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4137 loss: 2.4137 2022/07/22 17:22:10 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 1.0000e-02 eta: 21:20:18 time: 0.2301 data_time: 0.0191 memory: 6108 grad_norm: 5.7548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3057 loss: 2.3057 2022/07/22 17:22:16 - mmengine - INFO - Epoch(train) [13][3420/3757] lr: 1.0000e-02 eta: 21:20:17 time: 0.2572 data_time: 0.0576 memory: 6108 grad_norm: 5.5628 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1741 loss: 2.1741 2022/07/22 17:22:20 - mmengine - INFO - Epoch(train) [13][3440/3757] lr: 1.0000e-02 eta: 21:20:10 time: 0.2206 data_time: 0.0166 memory: 6108 grad_norm: 5.4777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/07/22 17:22:24 - mmengine - INFO - Epoch(train) [13][3460/3757] lr: 1.0000e-02 eta: 21:20:04 time: 0.2213 data_time: 0.0245 memory: 6108 grad_norm: 5.5804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1768 loss: 2.1768 2022/07/22 17:22:29 - mmengine - INFO - Epoch(train) [13][3480/3757] lr: 1.0000e-02 eta: 21:19:59 time: 0.2321 data_time: 0.0221 memory: 6108 grad_norm: 5.6443 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1455 loss: 2.1455 2022/07/22 17:22:34 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 1.0000e-02 eta: 21:19:53 time: 0.2289 data_time: 0.0213 memory: 6108 grad_norm: 5.6065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4464 loss: 2.4464 2022/07/22 17:22:38 - mmengine - INFO - Epoch(train) [13][3520/3757] lr: 1.0000e-02 eta: 21:19:49 time: 0.2378 data_time: 0.0176 memory: 6108 grad_norm: 5.3216 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1095 loss: 2.1095 2022/07/22 17:22:43 - mmengine - INFO - Epoch(train) [13][3540/3757] lr: 1.0000e-02 eta: 21:19:44 time: 0.2324 data_time: 0.0265 memory: 6108 grad_norm: 5.4826 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1426 loss: 2.1426 2022/07/22 17:22:48 - mmengine - INFO - Epoch(train) [13][3560/3757] lr: 1.0000e-02 eta: 21:19:40 time: 0.2427 data_time: 0.0208 memory: 6108 grad_norm: 5.3598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0560 loss: 2.0560 2022/07/22 17:22:52 - mmengine - INFO - Epoch(train) [13][3580/3757] lr: 1.0000e-02 eta: 21:19:34 time: 0.2222 data_time: 0.0180 memory: 6108 grad_norm: 5.6215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0613 loss: 2.0613 2022/07/22 17:22:57 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 1.0000e-02 eta: 21:19:28 time: 0.2276 data_time: 0.0224 memory: 6108 grad_norm: 5.5213 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3872 loss: 2.3872 2022/07/22 17:23:01 - mmengine - INFO - Epoch(train) [13][3620/3757] lr: 1.0000e-02 eta: 21:19:22 time: 0.2238 data_time: 0.0272 memory: 6108 grad_norm: 5.5186 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7897 loss: 2.7897 2022/07/22 17:23:07 - mmengine - INFO - Epoch(train) [13][3640/3757] lr: 1.0000e-02 eta: 21:19:20 time: 0.2563 data_time: 0.0171 memory: 6108 grad_norm: 5.5605 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2290 loss: 2.2290 2022/07/22 17:23:11 - mmengine - INFO - Epoch(train) [13][3660/3757] lr: 1.0000e-02 eta: 21:19:17 time: 0.2444 data_time: 0.0499 memory: 6108 grad_norm: 5.6822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2489 loss: 2.2489 2022/07/22 17:23:16 - mmengine - INFO - Epoch(train) [13][3680/3757] lr: 1.0000e-02 eta: 21:19:10 time: 0.2172 data_time: 0.0180 memory: 6108 grad_norm: 5.6649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3995 loss: 2.3995 2022/07/22 17:23:20 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 1.0000e-02 eta: 21:19:03 time: 0.2208 data_time: 0.0218 memory: 6108 grad_norm: 5.4114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3160 loss: 2.3160 2022/07/22 17:23:25 - mmengine - INFO - Epoch(train) [13][3720/3757] lr: 1.0000e-02 eta: 21:18:56 time: 0.2191 data_time: 0.0223 memory: 6108 grad_norm: 5.5529 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1054 loss: 2.1054 2022/07/22 17:23:29 - mmengine - INFO - Epoch(train) [13][3740/3757] lr: 1.0000e-02 eta: 21:18:51 time: 0.2296 data_time: 0.0211 memory: 6108 grad_norm: 5.6118 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3978 loss: 2.3978 2022/07/22 17:23:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:23:33 - mmengine - INFO - Epoch(train) [13][3757/3757] lr: 1.0000e-02 eta: 21:18:51 time: 0.2007 data_time: 0.0169 memory: 6108 grad_norm: 5.6081 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.2505 loss: 2.2505 2022/07/22 17:23:38 - mmengine - INFO - Epoch(val) [13][20/310] eta: 0:01:17 time: 0.2659 data_time: 0.1863 memory: 1428 2022/07/22 17:23:42 - mmengine - INFO - Epoch(val) [13][40/310] eta: 0:00:51 time: 0.1914 data_time: 0.1125 memory: 1428 2022/07/22 17:23:46 - mmengine - INFO - Epoch(val) [13][60/310] eta: 0:00:55 time: 0.2234 data_time: 0.1425 memory: 1428 2022/07/22 17:23:50 - mmengine - INFO - Epoch(val) [13][80/310] eta: 0:00:44 time: 0.1915 data_time: 0.1155 memory: 1428 2022/07/22 17:23:55 - mmengine - INFO - Epoch(val) [13][100/310] eta: 0:00:46 time: 0.2220 data_time: 0.1443 memory: 1428 2022/07/22 17:23:58 - mmengine - INFO - Epoch(val) [13][120/310] eta: 0:00:36 time: 0.1934 data_time: 0.1196 memory: 1428 2022/07/22 17:24:03 - mmengine - INFO - Epoch(val) [13][140/310] eta: 0:00:41 time: 0.2465 data_time: 0.1751 memory: 1428 2022/07/22 17:24:07 - mmengine - INFO - Epoch(val) [13][160/310] eta: 0:00:30 time: 0.2050 data_time: 0.1276 memory: 1428 2022/07/22 17:24:12 - mmengine - INFO - Epoch(val) [13][180/310] eta: 0:00:29 time: 0.2256 data_time: 0.1525 memory: 1428 2022/07/22 17:24:16 - mmengine - INFO - Epoch(val) [13][200/310] eta: 0:00:21 time: 0.1941 data_time: 0.1212 memory: 1428 2022/07/22 17:24:21 - mmengine - INFO - Epoch(val) [13][220/310] eta: 0:00:23 time: 0.2601 data_time: 0.1791 memory: 1428 2022/07/22 17:24:25 - mmengine - INFO - Epoch(val) [13][240/310] eta: 0:00:12 time: 0.1778 data_time: 0.1017 memory: 1428 2022/07/22 17:24:29 - mmengine - INFO - Epoch(val) [13][260/310] eta: 0:00:11 time: 0.2386 data_time: 0.1660 memory: 1428 2022/07/22 17:24:33 - mmengine - INFO - Epoch(val) [13][280/310] eta: 0:00:05 time: 0.1775 data_time: 0.1029 memory: 1428 2022/07/22 17:24:37 - mmengine - INFO - Epoch(val) [13][300/310] eta: 0:00:02 time: 0.2228 data_time: 0.1415 memory: 1428 2022/07/22 17:24:41 - mmengine - INFO - Epoch(val) [13][310/310] acc/top1: 0.5076 acc/top5: 0.7692 acc/mean1: 0.5075 2022/07/22 17:24:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/07/22 17:24:43 - mmengine - INFO - The best checkpoint with 0.5076 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/07/22 17:24:49 - mmengine - INFO - Epoch(train) [14][20/3757] lr: 1.0000e-02 eta: 21:18:19 time: 0.2631 data_time: 0.0712 memory: 6108 grad_norm: 5.5420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2697 loss: 2.2697 2022/07/22 17:24:53 - mmengine - INFO - Epoch(train) [14][40/3757] lr: 1.0000e-02 eta: 21:18:15 time: 0.2397 data_time: 0.0417 memory: 6108 grad_norm: 5.5916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2082 loss: 2.2082 2022/07/22 17:24:58 - mmengine - INFO - Epoch(train) [14][60/3757] lr: 1.0000e-02 eta: 21:18:12 time: 0.2436 data_time: 0.0235 memory: 6108 grad_norm: 5.3853 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2783 loss: 2.2783 2022/07/22 17:25:03 - mmengine - INFO - Epoch(train) [14][80/3757] lr: 1.0000e-02 eta: 21:18:07 time: 0.2357 data_time: 0.0199 memory: 6108 grad_norm: 5.2636 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4492 loss: 2.4492 2022/07/22 17:25:08 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 1.0000e-02 eta: 21:18:02 time: 0.2307 data_time: 0.0151 memory: 6108 grad_norm: 5.5490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3803 loss: 2.3803 2022/07/22 17:25:12 - mmengine - INFO - Epoch(train) [14][120/3757] lr: 1.0000e-02 eta: 21:17:57 time: 0.2309 data_time: 0.0213 memory: 6108 grad_norm: 5.3589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2512 loss: 2.2512 2022/07/22 17:25:17 - mmengine - INFO - Epoch(train) [14][140/3757] lr: 1.0000e-02 eta: 21:17:52 time: 0.2347 data_time: 0.0168 memory: 6108 grad_norm: 5.3977 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2062 loss: 2.2062 2022/07/22 17:25:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:25:21 - mmengine - INFO - Epoch(train) [14][160/3757] lr: 1.0000e-02 eta: 21:17:46 time: 0.2201 data_time: 0.0185 memory: 6108 grad_norm: 5.7849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5371 loss: 2.5371 2022/07/22 17:25:26 - mmengine - INFO - Epoch(train) [14][180/3757] lr: 1.0000e-02 eta: 21:17:39 time: 0.2180 data_time: 0.0228 memory: 6108 grad_norm: 5.4976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2924 loss: 2.2924 2022/07/22 17:25:31 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 1.0000e-02 eta: 21:17:34 time: 0.2372 data_time: 0.0316 memory: 6108 grad_norm: 5.5689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3453 loss: 2.3453 2022/07/22 17:25:35 - mmengine - INFO - Epoch(train) [14][220/3757] lr: 1.0000e-02 eta: 21:17:29 time: 0.2275 data_time: 0.0228 memory: 6108 grad_norm: 5.4799 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1300 loss: 2.1300 2022/07/22 17:25:40 - mmengine - INFO - Epoch(train) [14][240/3757] lr: 1.0000e-02 eta: 21:17:27 time: 0.2568 data_time: 0.0270 memory: 6108 grad_norm: 5.4895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0968 loss: 2.0968 2022/07/22 17:25:45 - mmengine - INFO - Epoch(train) [14][260/3757] lr: 1.0000e-02 eta: 21:17:24 time: 0.2469 data_time: 0.0163 memory: 6108 grad_norm: 5.6276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4224 loss: 2.4224 2022/07/22 17:25:50 - mmengine - INFO - Epoch(train) [14][280/3757] lr: 1.0000e-02 eta: 21:17:21 time: 0.2508 data_time: 0.0187 memory: 6108 grad_norm: 5.4148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2933 loss: 2.2933 2022/07/22 17:25:55 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 1.0000e-02 eta: 21:17:15 time: 0.2220 data_time: 0.0190 memory: 6108 grad_norm: 5.5240 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9442 loss: 1.9442 2022/07/22 17:25:59 - mmengine - INFO - Epoch(train) [14][320/3757] lr: 1.0000e-02 eta: 21:17:10 time: 0.2295 data_time: 0.0253 memory: 6108 grad_norm: 5.5627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4751 loss: 2.4751 2022/07/22 17:26:04 - mmengine - INFO - Epoch(train) [14][340/3757] lr: 1.0000e-02 eta: 21:17:03 time: 0.2189 data_time: 0.0266 memory: 6108 grad_norm: 5.4983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3962 loss: 2.3962 2022/07/22 17:26:09 - mmengine - INFO - Epoch(train) [14][360/3757] lr: 1.0000e-02 eta: 21:17:00 time: 0.2465 data_time: 0.0219 memory: 6108 grad_norm: 5.4942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4450 loss: 2.4450 2022/07/22 17:26:13 - mmengine - INFO - Epoch(train) [14][380/3757] lr: 1.0000e-02 eta: 21:16:53 time: 0.2219 data_time: 0.0233 memory: 6108 grad_norm: 5.5002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1529 loss: 2.1529 2022/07/22 17:26:18 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 1.0000e-02 eta: 21:16:47 time: 0.2251 data_time: 0.0263 memory: 6108 grad_norm: 5.6387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4072 loss: 2.4072 2022/07/22 17:26:22 - mmengine - INFO - Epoch(train) [14][420/3757] lr: 1.0000e-02 eta: 21:16:41 time: 0.2252 data_time: 0.0222 memory: 6108 grad_norm: 5.6015 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2090 loss: 2.2090 2022/07/22 17:26:27 - mmengine - INFO - Epoch(train) [14][440/3757] lr: 1.0000e-02 eta: 21:16:36 time: 0.2320 data_time: 0.0340 memory: 6108 grad_norm: 5.5203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2274 loss: 2.2274 2022/07/22 17:26:32 - mmengine - INFO - Epoch(train) [14][460/3757] lr: 1.0000e-02 eta: 21:16:35 time: 0.2627 data_time: 0.0227 memory: 6108 grad_norm: 5.4758 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3350 loss: 2.3350 2022/07/22 17:26:36 - mmengine - INFO - Epoch(train) [14][480/3757] lr: 1.0000e-02 eta: 21:16:29 time: 0.2249 data_time: 0.0234 memory: 6108 grad_norm: 5.4545 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9149 loss: 1.9149 2022/07/22 17:26:41 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 1.0000e-02 eta: 21:16:23 time: 0.2252 data_time: 0.0206 memory: 6108 grad_norm: 5.5052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1998 loss: 2.1998 2022/07/22 17:26:46 - mmengine - INFO - Epoch(train) [14][520/3757] lr: 1.0000e-02 eta: 21:16:18 time: 0.2310 data_time: 0.0204 memory: 6108 grad_norm: 5.4743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0028 loss: 2.0028 2022/07/22 17:26:50 - mmengine - INFO - Epoch(train) [14][540/3757] lr: 1.0000e-02 eta: 21:16:13 time: 0.2323 data_time: 0.0190 memory: 6108 grad_norm: 5.5613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4723 loss: 2.4723 2022/07/22 17:26:55 - mmengine - INFO - Epoch(train) [14][560/3757] lr: 1.0000e-02 eta: 21:16:09 time: 0.2362 data_time: 0.0198 memory: 6108 grad_norm: 5.6404 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1760 loss: 2.1760 2022/07/22 17:27:00 - mmengine - INFO - Epoch(train) [14][580/3757] lr: 1.0000e-02 eta: 21:16:04 time: 0.2380 data_time: 0.0218 memory: 6108 grad_norm: 5.6421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4082 loss: 2.4082 2022/07/22 17:27:05 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 1.0000e-02 eta: 21:16:02 time: 0.2487 data_time: 0.0155 memory: 6108 grad_norm: 5.6181 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5402 loss: 2.5402 2022/07/22 17:27:09 - mmengine - INFO - Epoch(train) [14][620/3757] lr: 1.0000e-02 eta: 21:15:56 time: 0.2253 data_time: 0.0202 memory: 6108 grad_norm: 5.5200 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.4191 loss: 2.4191 2022/07/22 17:27:14 - mmengine - INFO - Epoch(train) [14][640/3757] lr: 1.0000e-02 eta: 21:15:54 time: 0.2543 data_time: 0.0341 memory: 6108 grad_norm: 5.5487 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3006 loss: 2.3006 2022/07/22 17:27:19 - mmengine - INFO - Epoch(train) [14][660/3757] lr: 1.0000e-02 eta: 21:15:47 time: 0.2221 data_time: 0.0243 memory: 6108 grad_norm: 5.6677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3628 loss: 2.3628 2022/07/22 17:27:23 - mmengine - INFO - Epoch(train) [14][680/3757] lr: 1.0000e-02 eta: 21:15:41 time: 0.2262 data_time: 0.0205 memory: 6108 grad_norm: 5.5169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.6095 loss: 2.6095 2022/07/22 17:27:28 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 1.0000e-02 eta: 21:15:37 time: 0.2394 data_time: 0.0243 memory: 6108 grad_norm: 5.6415 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0867 loss: 2.0867 2022/07/22 17:27:33 - mmengine - INFO - Epoch(train) [14][720/3757] lr: 1.0000e-02 eta: 21:15:33 time: 0.2401 data_time: 0.0201 memory: 6108 grad_norm: 5.3278 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2025 loss: 2.2025 2022/07/22 17:27:38 - mmengine - INFO - Epoch(train) [14][740/3757] lr: 1.0000e-02 eta: 21:15:31 time: 0.2544 data_time: 0.0221 memory: 6108 grad_norm: 5.5393 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/07/22 17:27:43 - mmengine - INFO - Epoch(train) [14][760/3757] lr: 1.0000e-02 eta: 21:15:28 time: 0.2428 data_time: 0.0208 memory: 6108 grad_norm: 5.5254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/07/22 17:27:48 - mmengine - INFO - Epoch(train) [14][780/3757] lr: 1.0000e-02 eta: 21:15:23 time: 0.2356 data_time: 0.0195 memory: 6108 grad_norm: 5.5811 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5876 loss: 2.5876 2022/07/22 17:27:52 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 1.0000e-02 eta: 21:15:16 time: 0.2169 data_time: 0.0173 memory: 6108 grad_norm: 5.5042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1081 loss: 2.1081 2022/07/22 17:27:56 - mmengine - INFO - Epoch(train) [14][820/3757] lr: 1.0000e-02 eta: 21:15:10 time: 0.2273 data_time: 0.0192 memory: 6108 grad_norm: 5.6494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1541 loss: 2.1541 2022/07/22 17:28:01 - mmengine - INFO - Epoch(train) [14][840/3757] lr: 1.0000e-02 eta: 21:15:05 time: 0.2271 data_time: 0.0270 memory: 6108 grad_norm: 5.4371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3835 loss: 2.3835 2022/07/22 17:28:05 - mmengine - INFO - Epoch(train) [14][860/3757] lr: 1.0000e-02 eta: 21:14:58 time: 0.2201 data_time: 0.0187 memory: 6108 grad_norm: 5.4164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1397 loss: 2.1397 2022/07/22 17:28:11 - mmengine - INFO - Epoch(train) [14][880/3757] lr: 1.0000e-02 eta: 21:15:00 time: 0.2832 data_time: 0.0185 memory: 6108 grad_norm: 5.4397 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5282 loss: 2.5282 2022/07/22 17:28:16 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 1.0000e-02 eta: 21:14:53 time: 0.2211 data_time: 0.0213 memory: 6108 grad_norm: 5.5984 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5605 loss: 2.5605 2022/07/22 17:28:20 - mmengine - INFO - Epoch(train) [14][920/3757] lr: 1.0000e-02 eta: 21:14:47 time: 0.2240 data_time: 0.0216 memory: 6108 grad_norm: 5.4928 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2242 loss: 2.2242 2022/07/22 17:28:24 - mmengine - INFO - Epoch(train) [14][940/3757] lr: 1.0000e-02 eta: 21:14:41 time: 0.2223 data_time: 0.0182 memory: 6108 grad_norm: 5.5975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5725 loss: 2.5725 2022/07/22 17:28:29 - mmengine - INFO - Epoch(train) [14][960/3757] lr: 1.0000e-02 eta: 21:14:37 time: 0.2403 data_time: 0.0208 memory: 6108 grad_norm: 5.3837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4587 loss: 2.4587 2022/07/22 17:28:34 - mmengine - INFO - Epoch(train) [14][980/3757] lr: 1.0000e-02 eta: 21:14:31 time: 0.2281 data_time: 0.0227 memory: 6108 grad_norm: 5.5818 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2025 loss: 2.2025 2022/07/22 17:28:39 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 1.0000e-02 eta: 21:14:27 time: 0.2342 data_time: 0.0176 memory: 6108 grad_norm: 5.5288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5038 loss: 2.5038 2022/07/22 17:28:44 - mmengine - INFO - Epoch(train) [14][1020/3757] lr: 1.0000e-02 eta: 21:14:25 time: 0.2543 data_time: 0.0640 memory: 6108 grad_norm: 5.3793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1659 loss: 2.1659 2022/07/22 17:28:48 - mmengine - INFO - Epoch(train) [14][1040/3757] lr: 1.0000e-02 eta: 21:14:19 time: 0.2291 data_time: 0.0220 memory: 6108 grad_norm: 5.6063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2187 loss: 2.2187 2022/07/22 17:28:53 - mmengine - INFO - Epoch(train) [14][1060/3757] lr: 1.0000e-02 eta: 21:14:13 time: 0.2218 data_time: 0.0148 memory: 6108 grad_norm: 5.5778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3181 loss: 2.3181 2022/07/22 17:28:57 - mmengine - INFO - Epoch(train) [14][1080/3757] lr: 1.0000e-02 eta: 21:14:07 time: 0.2256 data_time: 0.0210 memory: 6108 grad_norm: 5.3728 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1243 loss: 2.1243 2022/07/22 17:29:02 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 1.0000e-02 eta: 21:14:03 time: 0.2395 data_time: 0.0415 memory: 6108 grad_norm: 5.5026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2171 loss: 2.2171 2022/07/22 17:29:07 - mmengine - INFO - Epoch(train) [14][1120/3757] lr: 1.0000e-02 eta: 21:14:01 time: 0.2573 data_time: 0.0525 memory: 6108 grad_norm: 5.6822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1438 loss: 2.1438 2022/07/22 17:29:12 - mmengine - INFO - Epoch(train) [14][1140/3757] lr: 1.0000e-02 eta: 21:13:55 time: 0.2221 data_time: 0.0180 memory: 6108 grad_norm: 5.4936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2581 loss: 2.2581 2022/07/22 17:29:16 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:29:16 - mmengine - INFO - Epoch(train) [14][1160/3757] lr: 1.0000e-02 eta: 21:13:49 time: 0.2262 data_time: 0.0227 memory: 6108 grad_norm: 5.5537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3906 loss: 2.3906 2022/07/22 17:29:21 - mmengine - INFO - Epoch(train) [14][1180/3757] lr: 1.0000e-02 eta: 21:13:45 time: 0.2409 data_time: 0.0185 memory: 6108 grad_norm: 5.4312 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3948 loss: 2.3948 2022/07/22 17:29:26 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 1.0000e-02 eta: 21:13:40 time: 0.2297 data_time: 0.0196 memory: 6108 grad_norm: 5.6413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2862 loss: 2.2862 2022/07/22 17:29:30 - mmengine - INFO - Epoch(train) [14][1220/3757] lr: 1.0000e-02 eta: 21:13:36 time: 0.2386 data_time: 0.0189 memory: 6108 grad_norm: 5.5658 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3085 loss: 2.3085 2022/07/22 17:29:35 - mmengine - INFO - Epoch(train) [14][1240/3757] lr: 1.0000e-02 eta: 21:13:29 time: 0.2227 data_time: 0.0178 memory: 6108 grad_norm: 5.6209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4464 loss: 2.4464 2022/07/22 17:29:39 - mmengine - INFO - Epoch(train) [14][1260/3757] lr: 1.0000e-02 eta: 21:13:23 time: 0.2246 data_time: 0.0260 memory: 6108 grad_norm: 5.5991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2461 loss: 2.2461 2022/07/22 17:29:44 - mmengine - INFO - Epoch(train) [14][1280/3757] lr: 1.0000e-02 eta: 21:13:21 time: 0.2506 data_time: 0.0223 memory: 6108 grad_norm: 5.4484 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1533 loss: 2.1533 2022/07/22 17:29:49 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 1.0000e-02 eta: 21:13:15 time: 0.2247 data_time: 0.0179 memory: 6108 grad_norm: 5.5876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1106 loss: 2.1106 2022/07/22 17:29:53 - mmengine - INFO - Epoch(train) [14][1320/3757] lr: 1.0000e-02 eta: 21:13:09 time: 0.2257 data_time: 0.0241 memory: 6108 grad_norm: 5.6444 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5073 loss: 2.5073 2022/07/22 17:29:58 - mmengine - INFO - Epoch(train) [14][1340/3757] lr: 1.0000e-02 eta: 21:13:03 time: 0.2243 data_time: 0.0266 memory: 6108 grad_norm: 5.7961 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6221 loss: 2.6221 2022/07/22 17:30:02 - mmengine - INFO - Epoch(train) [14][1360/3757] lr: 1.0000e-02 eta: 21:12:57 time: 0.2257 data_time: 0.0207 memory: 6108 grad_norm: 5.5502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3444 loss: 2.3444 2022/07/22 17:30:07 - mmengine - INFO - Epoch(train) [14][1380/3757] lr: 1.0000e-02 eta: 21:12:54 time: 0.2472 data_time: 0.0217 memory: 6108 grad_norm: 5.5344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4536 loss: 2.4536 2022/07/22 17:30:12 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 1.0000e-02 eta: 21:12:48 time: 0.2239 data_time: 0.0247 memory: 6108 grad_norm: 5.6473 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1477 loss: 2.1477 2022/07/22 17:30:16 - mmengine - INFO - Epoch(train) [14][1420/3757] lr: 1.0000e-02 eta: 21:12:43 time: 0.2371 data_time: 0.0183 memory: 6108 grad_norm: 5.5256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0312 loss: 2.0312 2022/07/22 17:30:21 - mmengine - INFO - Epoch(train) [14][1440/3757] lr: 1.0000e-02 eta: 21:12:38 time: 0.2279 data_time: 0.0214 memory: 6108 grad_norm: 5.5611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4980 loss: 2.4980 2022/07/22 17:30:26 - mmengine - INFO - Epoch(train) [14][1460/3757] lr: 1.0000e-02 eta: 21:12:32 time: 0.2249 data_time: 0.0217 memory: 6108 grad_norm: 5.7197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0946 loss: 2.0946 2022/07/22 17:30:31 - mmengine - INFO - Epoch(train) [14][1480/3757] lr: 1.0000e-02 eta: 21:12:30 time: 0.2550 data_time: 0.0161 memory: 6108 grad_norm: 5.5124 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1234 loss: 2.1234 2022/07/22 17:30:35 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 1.0000e-02 eta: 21:12:25 time: 0.2320 data_time: 0.0170 memory: 6108 grad_norm: 5.6207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1704 loss: 2.1704 2022/07/22 17:30:40 - mmengine - INFO - Epoch(train) [14][1520/3757] lr: 1.0000e-02 eta: 21:12:19 time: 0.2239 data_time: 0.0192 memory: 6108 grad_norm: 5.5752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2689 loss: 2.2689 2022/07/22 17:30:44 - mmengine - INFO - Epoch(train) [14][1540/3757] lr: 1.0000e-02 eta: 21:12:14 time: 0.2337 data_time: 0.0201 memory: 6108 grad_norm: 5.4639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4185 loss: 2.4185 2022/07/22 17:30:49 - mmengine - INFO - Epoch(train) [14][1560/3757] lr: 1.0000e-02 eta: 21:12:10 time: 0.2404 data_time: 0.0241 memory: 6108 grad_norm: 5.6029 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3641 loss: 2.3641 2022/07/22 17:30:54 - mmengine - INFO - Epoch(train) [14][1580/3757] lr: 1.0000e-02 eta: 21:12:04 time: 0.2270 data_time: 0.0289 memory: 6108 grad_norm: 5.5998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3583 loss: 2.3583 2022/07/22 17:30:59 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 1.0000e-02 eta: 21:12:01 time: 0.2488 data_time: 0.0230 memory: 6108 grad_norm: 5.3415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3604 loss: 2.3604 2022/07/22 17:31:03 - mmengine - INFO - Epoch(train) [14][1620/3757] lr: 1.0000e-02 eta: 21:11:57 time: 0.2341 data_time: 0.0218 memory: 6108 grad_norm: 5.4920 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1973 loss: 2.1973 2022/07/22 17:31:08 - mmengine - INFO - Epoch(train) [14][1640/3757] lr: 1.0000e-02 eta: 21:11:53 time: 0.2421 data_time: 0.0234 memory: 6108 grad_norm: 5.5294 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4213 loss: 2.4213 2022/07/22 17:31:13 - mmengine - INFO - Epoch(train) [14][1660/3757] lr: 1.0000e-02 eta: 21:11:48 time: 0.2358 data_time: 0.0185 memory: 6108 grad_norm: 5.4569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1860 loss: 2.1860 2022/07/22 17:31:18 - mmengine - INFO - Epoch(train) [14][1680/3757] lr: 1.0000e-02 eta: 21:11:44 time: 0.2383 data_time: 0.0148 memory: 6108 grad_norm: 5.5372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3714 loss: 2.3714 2022/07/22 17:31:22 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 1.0000e-02 eta: 21:11:38 time: 0.2264 data_time: 0.0234 memory: 6108 grad_norm: 5.6941 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3655 loss: 2.3655 2022/07/22 17:31:27 - mmengine - INFO - Epoch(train) [14][1720/3757] lr: 1.0000e-02 eta: 21:11:34 time: 0.2334 data_time: 0.0212 memory: 6108 grad_norm: 5.5310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2732 loss: 2.2732 2022/07/22 17:31:32 - mmengine - INFO - Epoch(train) [14][1740/3757] lr: 1.0000e-02 eta: 21:11:31 time: 0.2512 data_time: 0.0214 memory: 6108 grad_norm: 5.6731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6261 loss: 2.6261 2022/07/22 17:31:37 - mmengine - INFO - Epoch(train) [14][1760/3757] lr: 1.0000e-02 eta: 21:11:25 time: 0.2233 data_time: 0.0294 memory: 6108 grad_norm: 5.5717 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4052 loss: 2.4052 2022/07/22 17:31:41 - mmengine - INFO - Epoch(train) [14][1780/3757] lr: 1.0000e-02 eta: 21:11:19 time: 0.2232 data_time: 0.0217 memory: 6108 grad_norm: 5.5923 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5899 loss: 2.5899 2022/07/22 17:31:46 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 1.0000e-02 eta: 21:11:14 time: 0.2312 data_time: 0.0254 memory: 6108 grad_norm: 5.4881 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/07/22 17:31:51 - mmengine - INFO - Epoch(train) [14][1820/3757] lr: 1.0000e-02 eta: 21:11:12 time: 0.2592 data_time: 0.0481 memory: 6108 grad_norm: 5.6627 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1575 loss: 2.1575 2022/07/22 17:31:55 - mmengine - INFO - Epoch(train) [14][1840/3757] lr: 1.0000e-02 eta: 21:11:05 time: 0.2198 data_time: 0.0185 memory: 6108 grad_norm: 5.3834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0747 loss: 2.0747 2022/07/22 17:32:00 - mmengine - INFO - Epoch(train) [14][1860/3757] lr: 1.0000e-02 eta: 21:10:59 time: 0.2241 data_time: 0.0208 memory: 6108 grad_norm: 5.4376 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3119 loss: 2.3119 2022/07/22 17:32:05 - mmengine - INFO - Epoch(train) [14][1880/3757] lr: 1.0000e-02 eta: 21:10:55 time: 0.2397 data_time: 0.0255 memory: 6108 grad_norm: 5.5887 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0856 loss: 2.0856 2022/07/22 17:32:09 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 1.0000e-02 eta: 21:10:50 time: 0.2327 data_time: 0.0227 memory: 6108 grad_norm: 5.5680 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2471 loss: 2.2471 2022/07/22 17:32:14 - mmengine - INFO - Epoch(train) [14][1920/3757] lr: 1.0000e-02 eta: 21:10:45 time: 0.2320 data_time: 0.0175 memory: 6108 grad_norm: 5.5967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/07/22 17:32:18 - mmengine - INFO - Epoch(train) [14][1940/3757] lr: 1.0000e-02 eta: 21:10:39 time: 0.2243 data_time: 0.0253 memory: 6108 grad_norm: 5.4563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4654 loss: 2.4654 2022/07/22 17:32:23 - mmengine - INFO - Epoch(train) [14][1960/3757] lr: 1.0000e-02 eta: 21:10:36 time: 0.2487 data_time: 0.0181 memory: 6108 grad_norm: 5.4917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5115 loss: 2.5115 2022/07/22 17:32:28 - mmengine - INFO - Epoch(train) [14][1980/3757] lr: 1.0000e-02 eta: 21:10:33 time: 0.2460 data_time: 0.0221 memory: 6108 grad_norm: 5.6114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2121 loss: 2.2121 2022/07/22 17:32:33 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 1.0000e-02 eta: 21:10:27 time: 0.2256 data_time: 0.0241 memory: 6108 grad_norm: 5.6401 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3091 loss: 2.3091 2022/07/22 17:32:37 - mmengine - INFO - Epoch(train) [14][2020/3757] lr: 1.0000e-02 eta: 21:10:21 time: 0.2223 data_time: 0.0199 memory: 6108 grad_norm: 5.6506 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3934 loss: 2.3934 2022/07/22 17:32:42 - mmengine - INFO - Epoch(train) [14][2040/3757] lr: 1.0000e-02 eta: 21:10:16 time: 0.2339 data_time: 0.0212 memory: 6108 grad_norm: 5.4209 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0812 loss: 2.0812 2022/07/22 17:32:47 - mmengine - INFO - Epoch(train) [14][2060/3757] lr: 1.0000e-02 eta: 21:10:12 time: 0.2405 data_time: 0.0194 memory: 6108 grad_norm: 5.4832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0601 loss: 2.0601 2022/07/22 17:32:52 - mmengine - INFO - Epoch(train) [14][2080/3757] lr: 1.0000e-02 eta: 21:10:09 time: 0.2420 data_time: 0.0260 memory: 6108 grad_norm: 5.5500 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3112 loss: 2.3112 2022/07/22 17:32:56 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 1.0000e-02 eta: 21:10:03 time: 0.2249 data_time: 0.0195 memory: 6108 grad_norm: 5.5933 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4651 loss: 2.4651 2022/07/22 17:33:01 - mmengine - INFO - Epoch(train) [14][2120/3757] lr: 1.0000e-02 eta: 21:09:57 time: 0.2258 data_time: 0.0202 memory: 6108 grad_norm: 5.5485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1203 loss: 2.1203 2022/07/22 17:33:05 - mmengine - INFO - Epoch(train) [14][2140/3757] lr: 1.0000e-02 eta: 21:09:52 time: 0.2332 data_time: 0.0185 memory: 6108 grad_norm: 5.5205 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2729 loss: 2.2729 2022/07/22 17:33:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:33:10 - mmengine - INFO - Epoch(train) [14][2160/3757] lr: 1.0000e-02 eta: 21:09:48 time: 0.2379 data_time: 0.0225 memory: 6108 grad_norm: 5.4921 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5357 loss: 2.5357 2022/07/22 17:33:15 - mmengine - INFO - Epoch(train) [14][2180/3757] lr: 1.0000e-02 eta: 21:09:45 time: 0.2519 data_time: 0.0187 memory: 6108 grad_norm: 5.5302 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/07/22 17:33:20 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 1.0000e-02 eta: 21:09:41 time: 0.2368 data_time: 0.0171 memory: 6108 grad_norm: 5.4717 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2076 loss: 2.2076 2022/07/22 17:33:24 - mmengine - INFO - Epoch(train) [14][2220/3757] lr: 1.0000e-02 eta: 21:09:35 time: 0.2258 data_time: 0.0181 memory: 6108 grad_norm: 5.5060 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4355 loss: 2.4355 2022/07/22 17:33:29 - mmengine - INFO - Epoch(train) [14][2240/3757] lr: 1.0000e-02 eta: 21:09:33 time: 0.2534 data_time: 0.0220 memory: 6108 grad_norm: 5.3655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/07/22 17:33:34 - mmengine - INFO - Epoch(train) [14][2260/3757] lr: 1.0000e-02 eta: 21:09:26 time: 0.2186 data_time: 0.0199 memory: 6108 grad_norm: 5.3846 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3905 loss: 2.3905 2022/07/22 17:33:39 - mmengine - INFO - Epoch(train) [14][2280/3757] lr: 1.0000e-02 eta: 21:09:22 time: 0.2428 data_time: 0.0241 memory: 6108 grad_norm: 5.5096 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0504 loss: 2.0504 2022/07/22 17:33:43 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 1.0000e-02 eta: 21:09:18 time: 0.2402 data_time: 0.0200 memory: 6108 grad_norm: 5.5925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4310 loss: 2.4310 2022/07/22 17:33:48 - mmengine - INFO - Epoch(train) [14][2320/3757] lr: 1.0000e-02 eta: 21:09:14 time: 0.2390 data_time: 0.0255 memory: 6108 grad_norm: 5.6021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1422 loss: 2.1422 2022/07/22 17:33:53 - mmengine - INFO - Epoch(train) [14][2340/3757] lr: 1.0000e-02 eta: 21:09:07 time: 0.2171 data_time: 0.0165 memory: 6108 grad_norm: 5.5474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4592 loss: 2.4592 2022/07/22 17:33:57 - mmengine - INFO - Epoch(train) [14][2360/3757] lr: 1.0000e-02 eta: 21:09:03 time: 0.2384 data_time: 0.0218 memory: 6108 grad_norm: 5.5138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1038 loss: 2.1038 2022/07/22 17:34:02 - mmengine - INFO - Epoch(train) [14][2380/3757] lr: 1.0000e-02 eta: 21:08:57 time: 0.2231 data_time: 0.0185 memory: 6108 grad_norm: 5.4560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3483 loss: 2.3483 2022/07/22 17:34:06 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 1.0000e-02 eta: 21:08:51 time: 0.2220 data_time: 0.0190 memory: 6108 grad_norm: 5.3962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2583 loss: 2.2583 2022/07/22 17:34:12 - mmengine - INFO - Epoch(train) [14][2420/3757] lr: 1.0000e-02 eta: 21:08:50 time: 0.2668 data_time: 0.0212 memory: 6108 grad_norm: 5.5993 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2523 loss: 2.2523 2022/07/22 17:34:17 - mmengine - INFO - Epoch(train) [14][2440/3757] lr: 1.0000e-02 eta: 21:08:48 time: 0.2606 data_time: 0.0170 memory: 6108 grad_norm: 5.5286 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2947 loss: 2.2947 2022/07/22 17:34:21 - mmengine - INFO - Epoch(train) [14][2460/3757] lr: 1.0000e-02 eta: 21:08:42 time: 0.2207 data_time: 0.0264 memory: 6108 grad_norm: 5.4607 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1005 loss: 2.1005 2022/07/22 17:34:27 - mmengine - INFO - Epoch(train) [14][2480/3757] lr: 1.0000e-02 eta: 21:08:41 time: 0.2660 data_time: 0.0210 memory: 6108 grad_norm: 5.5638 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5157 loss: 2.5157 2022/07/22 17:34:31 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 1.0000e-02 eta: 21:08:35 time: 0.2205 data_time: 0.0177 memory: 6108 grad_norm: 5.5347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1026 loss: 2.1026 2022/07/22 17:34:36 - mmengine - INFO - Epoch(train) [14][2520/3757] lr: 1.0000e-02 eta: 21:08:29 time: 0.2271 data_time: 0.0240 memory: 6108 grad_norm: 5.4567 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6961 loss: 2.6961 2022/07/22 17:34:40 - mmengine - INFO - Epoch(train) [14][2540/3757] lr: 1.0000e-02 eta: 21:08:25 time: 0.2376 data_time: 0.0220 memory: 6108 grad_norm: 5.2768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3039 loss: 2.3039 2022/07/22 17:34:45 - mmengine - INFO - Epoch(train) [14][2560/3757] lr: 1.0000e-02 eta: 21:08:19 time: 0.2252 data_time: 0.0176 memory: 6108 grad_norm: 5.5094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5675 loss: 2.5675 2022/07/22 17:34:50 - mmengine - INFO - Epoch(train) [14][2580/3757] lr: 1.0000e-02 eta: 21:08:15 time: 0.2406 data_time: 0.0234 memory: 6108 grad_norm: 5.4306 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9762 loss: 1.9762 2022/07/22 17:34:54 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 1.0000e-02 eta: 21:08:09 time: 0.2254 data_time: 0.0168 memory: 6108 grad_norm: 5.4245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1419 loss: 2.1419 2022/07/22 17:34:59 - mmengine - INFO - Epoch(train) [14][2620/3757] lr: 1.0000e-02 eta: 21:08:04 time: 0.2306 data_time: 0.0177 memory: 6108 grad_norm: 5.4742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3636 loss: 2.3636 2022/07/22 17:35:04 - mmengine - INFO - Epoch(train) [14][2640/3757] lr: 1.0000e-02 eta: 21:08:00 time: 0.2390 data_time: 0.0237 memory: 6108 grad_norm: 5.6110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2516 loss: 2.2516 2022/07/22 17:35:08 - mmengine - INFO - Epoch(train) [14][2660/3757] lr: 1.0000e-02 eta: 21:07:54 time: 0.2293 data_time: 0.0202 memory: 6108 grad_norm: 5.5266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2949 loss: 2.2949 2022/07/22 17:35:13 - mmengine - INFO - Epoch(train) [14][2680/3757] lr: 1.0000e-02 eta: 21:07:48 time: 0.2233 data_time: 0.0244 memory: 6108 grad_norm: 5.4642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2353 loss: 2.2353 2022/07/22 17:35:17 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 1.0000e-02 eta: 21:07:43 time: 0.2321 data_time: 0.0209 memory: 6108 grad_norm: 5.3628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1928 loss: 2.1928 2022/07/22 17:35:22 - mmengine - INFO - Epoch(train) [14][2720/3757] lr: 1.0000e-02 eta: 21:07:40 time: 0.2434 data_time: 0.0186 memory: 6108 grad_norm: 5.4808 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2747 loss: 2.2747 2022/07/22 17:35:27 - mmengine - INFO - Epoch(train) [14][2740/3757] lr: 1.0000e-02 eta: 21:07:36 time: 0.2408 data_time: 0.0181 memory: 6108 grad_norm: 5.6199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5458 loss: 2.5458 2022/07/22 17:35:32 - mmengine - INFO - Epoch(train) [14][2760/3757] lr: 1.0000e-02 eta: 21:07:31 time: 0.2306 data_time: 0.0250 memory: 6108 grad_norm: 5.4439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2032 loss: 2.2032 2022/07/22 17:35:36 - mmengine - INFO - Epoch(train) [14][2780/3757] lr: 1.0000e-02 eta: 21:07:24 time: 0.2226 data_time: 0.0206 memory: 6108 grad_norm: 5.4224 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5671 loss: 2.5671 2022/07/22 17:35:40 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 1.0000e-02 eta: 21:07:18 time: 0.2194 data_time: 0.0189 memory: 6108 grad_norm: 5.4429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1844 loss: 2.1844 2022/07/22 17:35:45 - mmengine - INFO - Epoch(train) [14][2820/3757] lr: 1.0000e-02 eta: 21:07:14 time: 0.2452 data_time: 0.0204 memory: 6108 grad_norm: 5.5521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0870 loss: 2.0870 2022/07/22 17:35:50 - mmengine - INFO - Epoch(train) [14][2840/3757] lr: 1.0000e-02 eta: 21:07:10 time: 0.2394 data_time: 0.0215 memory: 6108 grad_norm: 5.4403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1693 loss: 2.1693 2022/07/22 17:35:54 - mmengine - INFO - Epoch(train) [14][2860/3757] lr: 1.0000e-02 eta: 21:07:04 time: 0.2195 data_time: 0.0184 memory: 6108 grad_norm: 5.6155 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1688 loss: 2.1688 2022/07/22 17:35:59 - mmengine - INFO - Epoch(train) [14][2880/3757] lr: 1.0000e-02 eta: 21:06:58 time: 0.2284 data_time: 0.0216 memory: 6108 grad_norm: 5.5823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0556 loss: 2.0556 2022/07/22 17:36:04 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 1.0000e-02 eta: 21:06:54 time: 0.2348 data_time: 0.0175 memory: 6108 grad_norm: 5.7265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0661 loss: 2.0661 2022/07/22 17:36:09 - mmengine - INFO - Epoch(train) [14][2920/3757] lr: 1.0000e-02 eta: 21:06:51 time: 0.2483 data_time: 0.0234 memory: 6108 grad_norm: 5.5235 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2571 loss: 2.2571 2022/07/22 17:36:13 - mmengine - INFO - Epoch(train) [14][2940/3757] lr: 1.0000e-02 eta: 21:06:44 time: 0.2173 data_time: 0.0186 memory: 6108 grad_norm: 5.5794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3431 loss: 2.3431 2022/07/22 17:36:18 - mmengine - INFO - Epoch(train) [14][2960/3757] lr: 1.0000e-02 eta: 21:06:38 time: 0.2283 data_time: 0.0185 memory: 6108 grad_norm: 5.4462 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4044 loss: 2.4044 2022/07/22 17:36:22 - mmengine - INFO - Epoch(train) [14][2980/3757] lr: 1.0000e-02 eta: 21:06:33 time: 0.2308 data_time: 0.0178 memory: 6108 grad_norm: 5.5045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3675 loss: 2.3675 2022/07/22 17:36:27 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 1.0000e-02 eta: 21:06:30 time: 0.2489 data_time: 0.0204 memory: 6108 grad_norm: 5.5115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2053 loss: 2.2053 2022/07/22 17:36:32 - mmengine - INFO - Epoch(train) [14][3020/3757] lr: 1.0000e-02 eta: 21:06:23 time: 0.2175 data_time: 0.0227 memory: 6108 grad_norm: 5.3899 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7484 loss: 1.7484 2022/07/22 17:36:37 - mmengine - INFO - Epoch(train) [14][3040/3757] lr: 1.0000e-02 eta: 21:06:20 time: 0.2462 data_time: 0.0189 memory: 6108 grad_norm: 5.6035 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9354 loss: 1.9354 2022/07/22 17:36:41 - mmengine - INFO - Epoch(train) [14][3060/3757] lr: 1.0000e-02 eta: 21:06:14 time: 0.2270 data_time: 0.0219 memory: 6108 grad_norm: 5.5631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3812 loss: 2.3812 2022/07/22 17:36:46 - mmengine - INFO - Epoch(train) [14][3080/3757] lr: 1.0000e-02 eta: 21:06:11 time: 0.2430 data_time: 0.0215 memory: 6108 grad_norm: 5.4612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2042 loss: 2.2042 2022/07/22 17:36:51 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 1.0000e-02 eta: 21:06:07 time: 0.2390 data_time: 0.0210 memory: 6108 grad_norm: 5.5215 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7847 loss: 1.7847 2022/07/22 17:36:55 - mmengine - INFO - Epoch(train) [14][3120/3757] lr: 1.0000e-02 eta: 21:06:01 time: 0.2290 data_time: 0.0250 memory: 6108 grad_norm: 5.7691 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6368 loss: 2.6368 2022/07/22 17:37:00 - mmengine - INFO - Epoch(train) [14][3140/3757] lr: 1.0000e-02 eta: 21:05:58 time: 0.2444 data_time: 0.0230 memory: 6108 grad_norm: 5.6068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0754 loss: 2.0754 2022/07/22 17:37:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:37:05 - mmengine - INFO - Epoch(train) [14][3160/3757] lr: 1.0000e-02 eta: 21:05:51 time: 0.2197 data_time: 0.0165 memory: 6108 grad_norm: 5.3500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6778 loss: 2.6778 2022/07/22 17:37:10 - mmengine - INFO - Epoch(train) [14][3180/3757] lr: 1.0000e-02 eta: 21:05:49 time: 0.2510 data_time: 0.0195 memory: 6108 grad_norm: 5.6377 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2682 loss: 2.2682 2022/07/22 17:37:14 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 1.0000e-02 eta: 21:05:42 time: 0.2225 data_time: 0.0195 memory: 6108 grad_norm: 5.5584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5561 loss: 2.5561 2022/07/22 17:37:19 - mmengine - INFO - Epoch(train) [14][3220/3757] lr: 1.0000e-02 eta: 21:05:37 time: 0.2268 data_time: 0.0234 memory: 6108 grad_norm: 5.6988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2212 loss: 2.2212 2022/07/22 17:37:24 - mmengine - INFO - Epoch(train) [14][3240/3757] lr: 1.0000e-02 eta: 21:05:34 time: 0.2474 data_time: 0.0212 memory: 6108 grad_norm: 5.4161 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2217 loss: 2.2217 2022/07/22 17:37:28 - mmengine - INFO - Epoch(train) [14][3260/3757] lr: 1.0000e-02 eta: 21:05:30 time: 0.2436 data_time: 0.0188 memory: 6108 grad_norm: 5.5292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1254 loss: 2.1254 2022/07/22 17:37:34 - mmengine - INFO - Epoch(train) [14][3280/3757] lr: 1.0000e-02 eta: 21:05:28 time: 0.2598 data_time: 0.0167 memory: 6108 grad_norm: 5.6019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2917 loss: 2.2917 2022/07/22 17:37:38 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 1.0000e-02 eta: 21:05:23 time: 0.2305 data_time: 0.0233 memory: 6108 grad_norm: 5.7328 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6716 loss: 2.6716 2022/07/22 17:37:43 - mmengine - INFO - Epoch(train) [14][3320/3757] lr: 1.0000e-02 eta: 21:05:18 time: 0.2270 data_time: 0.0174 memory: 6108 grad_norm: 5.3769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5574 loss: 2.5574 2022/07/22 17:37:47 - mmengine - INFO - Epoch(train) [14][3340/3757] lr: 1.0000e-02 eta: 21:05:11 time: 0.2171 data_time: 0.0176 memory: 6108 grad_norm: 5.4964 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3284 loss: 2.3284 2022/07/22 17:37:52 - mmengine - INFO - Epoch(train) [14][3360/3757] lr: 1.0000e-02 eta: 21:05:04 time: 0.2211 data_time: 0.0233 memory: 6108 grad_norm: 5.4546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4570 loss: 2.4570 2022/07/22 17:37:57 - mmengine - INFO - Epoch(train) [14][3380/3757] lr: 1.0000e-02 eta: 21:05:03 time: 0.2594 data_time: 0.0637 memory: 6108 grad_norm: 5.4150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2402 loss: 2.2402 2022/07/22 17:38:01 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 1.0000e-02 eta: 21:04:56 time: 0.2223 data_time: 0.0168 memory: 6108 grad_norm: 5.4783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3241 loss: 2.3241 2022/07/22 17:38:06 - mmengine - INFO - Epoch(train) [14][3420/3757] lr: 1.0000e-02 eta: 21:04:51 time: 0.2284 data_time: 0.0225 memory: 6108 grad_norm: 5.6491 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3540 loss: 2.3540 2022/07/22 17:38:10 - mmengine - INFO - Epoch(train) [14][3440/3757] lr: 1.0000e-02 eta: 21:04:45 time: 0.2250 data_time: 0.0191 memory: 6108 grad_norm: 5.8345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2411 loss: 2.2411 2022/07/22 17:38:15 - mmengine - INFO - Epoch(train) [14][3460/3757] lr: 1.0000e-02 eta: 21:04:41 time: 0.2353 data_time: 0.0352 memory: 6108 grad_norm: 5.6386 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3018 loss: 2.3018 2022/07/22 17:38:20 - mmengine - INFO - Epoch(train) [14][3480/3757] lr: 1.0000e-02 eta: 21:04:35 time: 0.2305 data_time: 0.0239 memory: 6108 grad_norm: 5.4743 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2934 loss: 2.2934 2022/07/22 17:38:24 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 1.0000e-02 eta: 21:04:29 time: 0.2203 data_time: 0.0183 memory: 6108 grad_norm: 5.6841 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9746 loss: 1.9746 2022/07/22 17:38:29 - mmengine - INFO - Epoch(train) [14][3520/3757] lr: 1.0000e-02 eta: 21:04:25 time: 0.2406 data_time: 0.0191 memory: 6108 grad_norm: 5.4852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3503 loss: 2.3503 2022/07/22 17:38:33 - mmengine - INFO - Epoch(train) [14][3540/3757] lr: 1.0000e-02 eta: 21:04:19 time: 0.2266 data_time: 0.0278 memory: 6108 grad_norm: 5.5980 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0818 loss: 2.0818 2022/07/22 17:38:38 - mmengine - INFO - Epoch(train) [14][3560/3757] lr: 1.0000e-02 eta: 21:04:15 time: 0.2386 data_time: 0.0346 memory: 6108 grad_norm: 5.5202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1431 loss: 2.1431 2022/07/22 17:38:43 - mmengine - INFO - Epoch(train) [14][3580/3757] lr: 1.0000e-02 eta: 21:04:10 time: 0.2283 data_time: 0.0226 memory: 6108 grad_norm: 5.5299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2747 loss: 2.2747 2022/07/22 17:38:47 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 1.0000e-02 eta: 21:04:04 time: 0.2304 data_time: 0.0278 memory: 6108 grad_norm: 5.5070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4732 loss: 2.4732 2022/07/22 17:38:52 - mmengine - INFO - Epoch(train) [14][3620/3757] lr: 1.0000e-02 eta: 21:03:58 time: 0.2210 data_time: 0.0226 memory: 6108 grad_norm: 5.5249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1171 loss: 2.1171 2022/07/22 17:38:57 - mmengine - INFO - Epoch(train) [14][3640/3757] lr: 1.0000e-02 eta: 21:03:55 time: 0.2481 data_time: 0.0185 memory: 6108 grad_norm: 5.6839 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3164 loss: 2.3164 2022/07/22 17:39:02 - mmengine - INFO - Epoch(train) [14][3660/3757] lr: 1.0000e-02 eta: 21:03:50 time: 0.2361 data_time: 0.0250 memory: 6108 grad_norm: 5.5330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2429 loss: 2.2429 2022/07/22 17:39:06 - mmengine - INFO - Epoch(train) [14][3680/3757] lr: 1.0000e-02 eta: 21:03:46 time: 0.2387 data_time: 0.0240 memory: 6108 grad_norm: 5.4916 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2494 loss: 2.2494 2022/07/22 17:39:11 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 1.0000e-02 eta: 21:03:40 time: 0.2240 data_time: 0.0218 memory: 6108 grad_norm: 5.4257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1658 loss: 2.1658 2022/07/22 17:39:16 - mmengine - INFO - Epoch(train) [14][3720/3757] lr: 1.0000e-02 eta: 21:03:36 time: 0.2423 data_time: 0.0437 memory: 6108 grad_norm: 5.6587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1949 loss: 2.1949 2022/07/22 17:39:20 - mmengine - INFO - Epoch(train) [14][3740/3757] lr: 1.0000e-02 eta: 21:03:30 time: 0.2221 data_time: 0.0200 memory: 6108 grad_norm: 5.3529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2231 loss: 2.2231 2022/07/22 17:39:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:39:23 - mmengine - INFO - Epoch(train) [14][3757/3757] lr: 1.0000e-02 eta: 21:03:30 time: 0.1933 data_time: 0.0164 memory: 6108 grad_norm: 5.5328 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1245 loss: 2.1245 2022/07/22 17:39:29 - mmengine - INFO - Epoch(val) [14][20/310] eta: 0:01:16 time: 0.2630 data_time: 0.1811 memory: 1428 2022/07/22 17:39:32 - mmengine - INFO - Epoch(val) [14][40/310] eta: 0:00:48 time: 0.1802 data_time: 0.0984 memory: 1428 2022/07/22 17:39:37 - mmengine - INFO - Epoch(val) [14][60/310] eta: 0:00:57 time: 0.2307 data_time: 0.1544 memory: 1428 2022/07/22 17:39:41 - mmengine - INFO - Epoch(val) [14][80/310] eta: 0:00:47 time: 0.2068 data_time: 0.1298 memory: 1428 2022/07/22 17:39:45 - mmengine - INFO - Epoch(val) [14][100/310] eta: 0:00:44 time: 0.2128 data_time: 0.1380 memory: 1428 2022/07/22 17:39:49 - mmengine - INFO - Epoch(val) [14][120/310] eta: 0:00:40 time: 0.2109 data_time: 0.1364 memory: 1428 2022/07/22 17:39:54 - mmengine - INFO - Epoch(val) [14][140/310] eta: 0:00:38 time: 0.2265 data_time: 0.1497 memory: 1428 2022/07/22 17:39:58 - mmengine - INFO - Epoch(val) [14][160/310] eta: 0:00:30 time: 0.2046 data_time: 0.1290 memory: 1428 2022/07/22 17:40:03 - mmengine - INFO - Epoch(val) [14][180/310] eta: 0:00:29 time: 0.2269 data_time: 0.1513 memory: 1428 2022/07/22 17:40:06 - mmengine - INFO - Epoch(val) [14][200/310] eta: 0:00:20 time: 0.1856 data_time: 0.1089 memory: 1428 2022/07/22 17:40:11 - mmengine - INFO - Epoch(val) [14][220/310] eta: 0:00:18 time: 0.2067 data_time: 0.1284 memory: 1428 2022/07/22 17:40:14 - mmengine - INFO - Epoch(val) [14][240/310] eta: 0:00:13 time: 0.1923 data_time: 0.1151 memory: 1428 2022/07/22 17:40:19 - mmengine - INFO - Epoch(val) [14][260/310] eta: 0:00:11 time: 0.2325 data_time: 0.1565 memory: 1428 2022/07/22 17:40:23 - mmengine - INFO - Epoch(val) [14][280/310] eta: 0:00:05 time: 0.1943 data_time: 0.1107 memory: 1428 2022/07/22 17:40:27 - mmengine - INFO - Epoch(val) [14][300/310] eta: 0:00:02 time: 0.2236 data_time: 0.1491 memory: 1428 2022/07/22 17:40:31 - mmengine - INFO - Epoch(val) [14][310/310] acc/top1: 0.5193 acc/top5: 0.7783 acc/mean1: 0.5191 2022/07/22 17:40:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/07/22 17:40:34 - mmengine - INFO - The best checkpoint with 0.5193 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/07/22 17:40:39 - mmengine - INFO - Epoch(train) [15][20/3757] lr: 1.0000e-02 eta: 21:03:03 time: 0.2829 data_time: 0.0897 memory: 6108 grad_norm: 5.4920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2536 loss: 2.2536 2022/07/22 17:40:44 - mmengine - INFO - Epoch(train) [15][40/3757] lr: 1.0000e-02 eta: 21:02:58 time: 0.2353 data_time: 0.0281 memory: 6108 grad_norm: 5.6798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3615 loss: 2.3615 2022/07/22 17:40:49 - mmengine - INFO - Epoch(train) [15][60/3757] lr: 1.0000e-02 eta: 21:02:54 time: 0.2329 data_time: 0.0217 memory: 6108 grad_norm: 5.5866 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2163 loss: 2.2163 2022/07/22 17:40:53 - mmengine - INFO - Epoch(train) [15][80/3757] lr: 1.0000e-02 eta: 21:02:48 time: 0.2236 data_time: 0.0225 memory: 6108 grad_norm: 5.6605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2415 loss: 2.2415 2022/07/22 17:40:58 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 1.0000e-02 eta: 21:02:42 time: 0.2255 data_time: 0.0206 memory: 6108 grad_norm: 5.5395 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3063 loss: 2.3063 2022/07/22 17:41:02 - mmengine - INFO - Epoch(train) [15][120/3757] lr: 1.0000e-02 eta: 21:02:36 time: 0.2245 data_time: 0.0261 memory: 6108 grad_norm: 5.5817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2618 loss: 2.2618 2022/07/22 17:41:07 - mmengine - INFO - Epoch(train) [15][140/3757] lr: 1.0000e-02 eta: 21:02:32 time: 0.2389 data_time: 0.0401 memory: 6108 grad_norm: 5.6209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3490 loss: 2.3490 2022/07/22 17:41:12 - mmengine - INFO - Epoch(train) [15][160/3757] lr: 1.0000e-02 eta: 21:02:27 time: 0.2341 data_time: 0.0314 memory: 6108 grad_norm: 5.5552 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1389 loss: 2.1389 2022/07/22 17:41:17 - mmengine - INFO - Epoch(train) [15][180/3757] lr: 1.0000e-02 eta: 21:02:23 time: 0.2441 data_time: 0.0306 memory: 6108 grad_norm: 5.4816 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5219 loss: 2.5219 2022/07/22 17:41:22 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 1.0000e-02 eta: 21:02:20 time: 0.2438 data_time: 0.0146 memory: 6108 grad_norm: 5.6092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0642 loss: 2.0642 2022/07/22 17:41:26 - mmengine - INFO - Epoch(train) [15][220/3757] lr: 1.0000e-02 eta: 21:02:15 time: 0.2352 data_time: 0.0213 memory: 6108 grad_norm: 5.5398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2000 loss: 2.2000 2022/07/22 17:41:31 - mmengine - INFO - Epoch(train) [15][240/3757] lr: 1.0000e-02 eta: 21:02:12 time: 0.2474 data_time: 0.0250 memory: 6108 grad_norm: 5.5080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4210 loss: 2.4210 2022/07/22 17:41:36 - mmengine - INFO - Epoch(train) [15][260/3757] lr: 1.0000e-02 eta: 21:02:05 time: 0.2175 data_time: 0.0209 memory: 6108 grad_norm: 5.6407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3324 loss: 2.3324 2022/07/22 17:41:40 - mmengine - INFO - Epoch(train) [15][280/3757] lr: 1.0000e-02 eta: 21:02:01 time: 0.2381 data_time: 0.0199 memory: 6108 grad_norm: 5.4913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1479 loss: 2.1479 2022/07/22 17:41:45 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 1.0000e-02 eta: 21:01:55 time: 0.2250 data_time: 0.0229 memory: 6108 grad_norm: 5.7504 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2584 loss: 2.2584 2022/07/22 17:41:49 - mmengine - INFO - Epoch(train) [15][320/3757] lr: 1.0000e-02 eta: 21:01:50 time: 0.2274 data_time: 0.0172 memory: 6108 grad_norm: 5.5008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9422 loss: 1.9422 2022/07/22 17:41:54 - mmengine - INFO - Epoch(train) [15][340/3757] lr: 1.0000e-02 eta: 21:01:44 time: 0.2279 data_time: 0.0241 memory: 6108 grad_norm: 5.5314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4240 loss: 2.4240 2022/07/22 17:41:58 - mmengine - INFO - Epoch(train) [15][360/3757] lr: 1.0000e-02 eta: 21:01:38 time: 0.2244 data_time: 0.0229 memory: 6108 grad_norm: 5.5684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2695 loss: 2.2695 2022/07/22 17:42:03 - mmengine - INFO - Epoch(train) [15][380/3757] lr: 1.0000e-02 eta: 21:01:33 time: 0.2269 data_time: 0.0295 memory: 6108 grad_norm: 5.5673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3743 loss: 2.3743 2022/07/22 17:42:08 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 1.0000e-02 eta: 21:01:31 time: 0.2605 data_time: 0.0269 memory: 6108 grad_norm: 5.5621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2242 loss: 2.2242 2022/07/22 17:42:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:42:13 - mmengine - INFO - Epoch(train) [15][420/3757] lr: 1.0000e-02 eta: 21:01:25 time: 0.2220 data_time: 0.0202 memory: 6108 grad_norm: 5.6557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3330 loss: 2.3330 2022/07/22 17:42:17 - mmengine - INFO - Epoch(train) [15][440/3757] lr: 1.0000e-02 eta: 21:01:21 time: 0.2389 data_time: 0.0157 memory: 6108 grad_norm: 5.6002 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1851 loss: 2.1851 2022/07/22 17:42:22 - mmengine - INFO - Epoch(train) [15][460/3757] lr: 1.0000e-02 eta: 21:01:17 time: 0.2445 data_time: 0.0191 memory: 6108 grad_norm: 5.5041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1736 loss: 2.1736 2022/07/22 17:42:27 - mmengine - INFO - Epoch(train) [15][480/3757] lr: 1.0000e-02 eta: 21:01:12 time: 0.2291 data_time: 0.0230 memory: 6108 grad_norm: 5.5059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1193 loss: 2.1193 2022/07/22 17:42:32 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 1.0000e-02 eta: 21:01:08 time: 0.2424 data_time: 0.0212 memory: 6108 grad_norm: 5.5704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0879 loss: 2.0879 2022/07/22 17:42:36 - mmengine - INFO - Epoch(train) [15][520/3757] lr: 1.0000e-02 eta: 21:01:02 time: 0.2198 data_time: 0.0214 memory: 6108 grad_norm: 5.6137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3226 loss: 2.3226 2022/07/22 17:42:41 - mmengine - INFO - Epoch(train) [15][540/3757] lr: 1.0000e-02 eta: 21:00:55 time: 0.2209 data_time: 0.0255 memory: 6108 grad_norm: 5.6074 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2581 loss: 2.2581 2022/07/22 17:42:46 - mmengine - INFO - Epoch(train) [15][560/3757] lr: 1.0000e-02 eta: 21:00:53 time: 0.2543 data_time: 0.0216 memory: 6108 grad_norm: 5.7128 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4114 loss: 2.4114 2022/07/22 17:42:50 - mmengine - INFO - Epoch(train) [15][580/3757] lr: 1.0000e-02 eta: 21:00:47 time: 0.2283 data_time: 0.0221 memory: 6108 grad_norm: 5.4583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2232 loss: 2.2232 2022/07/22 17:42:55 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 1.0000e-02 eta: 21:00:41 time: 0.2230 data_time: 0.0213 memory: 6108 grad_norm: 5.2851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/07/22 17:42:59 - mmengine - INFO - Epoch(train) [15][620/3757] lr: 1.0000e-02 eta: 21:00:35 time: 0.2199 data_time: 0.0204 memory: 6108 grad_norm: 5.4644 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2649 loss: 2.2649 2022/07/22 17:43:04 - mmengine - INFO - Epoch(train) [15][640/3757] lr: 1.0000e-02 eta: 21:00:30 time: 0.2323 data_time: 0.0209 memory: 6108 grad_norm: 5.2440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9947 loss: 1.9947 2022/07/22 17:43:09 - mmengine - INFO - Epoch(train) [15][660/3757] lr: 1.0000e-02 eta: 21:00:30 time: 0.2750 data_time: 0.0194 memory: 6108 grad_norm: 5.4342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2625 loss: 2.2625 2022/07/22 17:43:14 - mmengine - INFO - Epoch(train) [15][680/3757] lr: 1.0000e-02 eta: 21:00:24 time: 0.2260 data_time: 0.0221 memory: 6108 grad_norm: 5.5441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4484 loss: 2.4484 2022/07/22 17:43:18 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 1.0000e-02 eta: 21:00:19 time: 0.2246 data_time: 0.0204 memory: 6108 grad_norm: 5.5812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1248 loss: 2.1248 2022/07/22 17:43:23 - mmengine - INFO - Epoch(train) [15][720/3757] lr: 1.0000e-02 eta: 21:00:12 time: 0.2198 data_time: 0.0225 memory: 6108 grad_norm: 5.6087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2975 loss: 2.2975 2022/07/22 17:43:27 - mmengine - INFO - Epoch(train) [15][740/3757] lr: 1.0000e-02 eta: 21:00:05 time: 0.2187 data_time: 0.0182 memory: 6108 grad_norm: 5.5322 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2198 loss: 2.2198 2022/07/22 17:43:32 - mmengine - INFO - Epoch(train) [15][760/3757] lr: 1.0000e-02 eta: 21:00:03 time: 0.2489 data_time: 0.0458 memory: 6108 grad_norm: 5.5529 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5593 loss: 2.5593 2022/07/22 17:43:36 - mmengine - INFO - Epoch(train) [15][780/3757] lr: 1.0000e-02 eta: 20:59:56 time: 0.2175 data_time: 0.0198 memory: 6108 grad_norm: 5.6699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8986 loss: 1.8986 2022/07/22 17:43:41 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 1.0000e-02 eta: 20:59:52 time: 0.2387 data_time: 0.0222 memory: 6108 grad_norm: 5.5919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2675 loss: 2.2675 2022/07/22 17:43:46 - mmengine - INFO - Epoch(train) [15][820/3757] lr: 1.0000e-02 eta: 20:59:49 time: 0.2546 data_time: 0.0246 memory: 6108 grad_norm: 5.4971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0736 loss: 2.0736 2022/07/22 17:43:51 - mmengine - INFO - Epoch(train) [15][840/3757] lr: 1.0000e-02 eta: 20:59:43 time: 0.2230 data_time: 0.0240 memory: 6108 grad_norm: 5.3415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5212 loss: 2.5212 2022/07/22 17:43:55 - mmengine - INFO - Epoch(train) [15][860/3757] lr: 1.0000e-02 eta: 20:59:39 time: 0.2349 data_time: 0.0203 memory: 6108 grad_norm: 5.6930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4079 loss: 2.4079 2022/07/22 17:44:00 - mmengine - INFO - Epoch(train) [15][880/3757] lr: 1.0000e-02 eta: 20:59:33 time: 0.2308 data_time: 0.0221 memory: 6108 grad_norm: 5.6168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4170 loss: 2.4170 2022/07/22 17:44:05 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 1.0000e-02 eta: 20:59:27 time: 0.2226 data_time: 0.0205 memory: 6108 grad_norm: 5.5848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2125 loss: 2.2125 2022/07/22 17:44:09 - mmengine - INFO - Epoch(train) [15][920/3757] lr: 1.0000e-02 eta: 20:59:23 time: 0.2348 data_time: 0.0241 memory: 6108 grad_norm: 5.4306 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3568 loss: 2.3568 2022/07/22 17:44:14 - mmengine - INFO - Epoch(train) [15][940/3757] lr: 1.0000e-02 eta: 20:59:18 time: 0.2358 data_time: 0.0292 memory: 6108 grad_norm: 5.5044 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1066 loss: 2.1066 2022/07/22 17:44:19 - mmengine - INFO - Epoch(train) [15][960/3757] lr: 1.0000e-02 eta: 20:59:16 time: 0.2594 data_time: 0.0150 memory: 6108 grad_norm: 5.6562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3771 loss: 2.3771 2022/07/22 17:44:24 - mmengine - INFO - Epoch(train) [15][980/3757] lr: 1.0000e-02 eta: 20:59:11 time: 0.2314 data_time: 0.0201 memory: 6108 grad_norm: 5.5068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1995 loss: 2.1995 2022/07/22 17:44:28 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 1.0000e-02 eta: 20:59:06 time: 0.2328 data_time: 0.0223 memory: 6108 grad_norm: 5.6542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9709 loss: 1.9709 2022/07/22 17:44:33 - mmengine - INFO - Epoch(train) [15][1020/3757] lr: 1.0000e-02 eta: 20:59:02 time: 0.2352 data_time: 0.0204 memory: 6108 grad_norm: 5.5335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1222 loss: 2.1222 2022/07/22 17:44:38 - mmengine - INFO - Epoch(train) [15][1040/3757] lr: 1.0000e-02 eta: 20:58:57 time: 0.2350 data_time: 0.0184 memory: 6108 grad_norm: 5.6367 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2459 loss: 2.2459 2022/07/22 17:44:42 - mmengine - INFO - Epoch(train) [15][1060/3757] lr: 1.0000e-02 eta: 20:58:51 time: 0.2218 data_time: 0.0200 memory: 6108 grad_norm: 5.4727 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4576 loss: 2.4576 2022/07/22 17:44:47 - mmengine - INFO - Epoch(train) [15][1080/3757] lr: 1.0000e-02 eta: 20:58:45 time: 0.2259 data_time: 0.0254 memory: 6108 grad_norm: 5.5713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3863 loss: 2.3863 2022/07/22 17:44:52 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 1.0000e-02 eta: 20:58:40 time: 0.2329 data_time: 0.0173 memory: 6108 grad_norm: 5.6964 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2306 loss: 2.2306 2022/07/22 17:44:57 - mmengine - INFO - Epoch(train) [15][1120/3757] lr: 1.0000e-02 eta: 20:58:40 time: 0.2666 data_time: 0.0225 memory: 6108 grad_norm: 5.4532 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5076 loss: 2.5076 2022/07/22 17:45:01 - mmengine - INFO - Epoch(train) [15][1140/3757] lr: 1.0000e-02 eta: 20:58:33 time: 0.2191 data_time: 0.0252 memory: 6108 grad_norm: 5.5458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2028 loss: 2.2028 2022/07/22 17:45:06 - mmengine - INFO - Epoch(train) [15][1160/3757] lr: 1.0000e-02 eta: 20:58:28 time: 0.2331 data_time: 0.0220 memory: 6108 grad_norm: 5.6119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3438 loss: 2.3438 2022/07/22 17:45:11 - mmengine - INFO - Epoch(train) [15][1180/3757] lr: 1.0000e-02 eta: 20:58:23 time: 0.2307 data_time: 0.0259 memory: 6108 grad_norm: 5.6460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5847 loss: 2.5847 2022/07/22 17:45:16 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 1.0000e-02 eta: 20:58:22 time: 0.2694 data_time: 0.0190 memory: 6108 grad_norm: 5.6135 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1032 loss: 2.1032 2022/07/22 17:45:20 - mmengine - INFO - Epoch(train) [15][1220/3757] lr: 1.0000e-02 eta: 20:58:16 time: 0.2158 data_time: 0.0259 memory: 6108 grad_norm: 5.5648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4592 loss: 2.4592 2022/07/22 17:45:25 - mmengine - INFO - Epoch(train) [15][1240/3757] lr: 1.0000e-02 eta: 20:58:13 time: 0.2507 data_time: 0.0191 memory: 6108 grad_norm: 5.4365 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2052 loss: 2.2052 2022/07/22 17:45:30 - mmengine - INFO - Epoch(train) [15][1260/3757] lr: 1.0000e-02 eta: 20:58:07 time: 0.2274 data_time: 0.0205 memory: 6108 grad_norm: 5.4171 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1507 loss: 2.1507 2022/07/22 17:45:35 - mmengine - INFO - Epoch(train) [15][1280/3757] lr: 1.0000e-02 eta: 20:58:03 time: 0.2407 data_time: 0.0241 memory: 6108 grad_norm: 5.7286 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3094 loss: 2.3094 2022/07/22 17:45:39 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 1.0000e-02 eta: 20:57:59 time: 0.2342 data_time: 0.0178 memory: 6108 grad_norm: 5.3786 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9555 loss: 1.9555 2022/07/22 17:45:44 - mmengine - INFO - Epoch(train) [15][1320/3757] lr: 1.0000e-02 eta: 20:57:53 time: 0.2310 data_time: 0.0205 memory: 6108 grad_norm: 5.3766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5187 loss: 2.5187 2022/07/22 17:45:49 - mmengine - INFO - Epoch(train) [15][1340/3757] lr: 1.0000e-02 eta: 20:57:50 time: 0.2422 data_time: 0.0236 memory: 6108 grad_norm: 5.4121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4188 loss: 2.4188 2022/07/22 17:45:53 - mmengine - INFO - Epoch(train) [15][1360/3757] lr: 1.0000e-02 eta: 20:57:44 time: 0.2252 data_time: 0.0207 memory: 6108 grad_norm: 5.3308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5374 loss: 2.5374 2022/07/22 17:45:58 - mmengine - INFO - Epoch(train) [15][1380/3757] lr: 1.0000e-02 eta: 20:57:38 time: 0.2210 data_time: 0.0208 memory: 6108 grad_norm: 5.3701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0584 loss: 2.0584 2022/07/22 17:46:02 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 1.0000e-02 eta: 20:57:32 time: 0.2250 data_time: 0.0209 memory: 6108 grad_norm: 5.5607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1195 loss: 2.1195 2022/07/22 17:46:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:46:07 - mmengine - INFO - Epoch(train) [15][1420/3757] lr: 1.0000e-02 eta: 20:57:27 time: 0.2359 data_time: 0.0384 memory: 6108 grad_norm: 5.4690 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1579 loss: 2.1579 2022/07/22 17:46:12 - mmengine - INFO - Epoch(train) [15][1440/3757] lr: 1.0000e-02 eta: 20:57:23 time: 0.2419 data_time: 0.0250 memory: 6108 grad_norm: 5.5918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3890 loss: 2.3890 2022/07/22 17:46:17 - mmengine - INFO - Epoch(train) [15][1460/3757] lr: 1.0000e-02 eta: 20:57:19 time: 0.2333 data_time: 0.0231 memory: 6108 grad_norm: 5.3281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7651 loss: 1.7651 2022/07/22 17:46:21 - mmengine - INFO - Epoch(train) [15][1480/3757] lr: 1.0000e-02 eta: 20:57:13 time: 0.2250 data_time: 0.0199 memory: 6108 grad_norm: 5.7375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3197 loss: 2.3197 2022/07/22 17:46:26 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 1.0000e-02 eta: 20:57:08 time: 0.2367 data_time: 0.0198 memory: 6108 grad_norm: 5.3628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2085 loss: 2.2085 2022/07/22 17:46:31 - mmengine - INFO - Epoch(train) [15][1520/3757] lr: 1.0000e-02 eta: 20:57:05 time: 0.2473 data_time: 0.0221 memory: 6108 grad_norm: 5.5209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2579 loss: 2.2579 2022/07/22 17:46:35 - mmengine - INFO - Epoch(train) [15][1540/3757] lr: 1.0000e-02 eta: 20:56:59 time: 0.2205 data_time: 0.0201 memory: 6108 grad_norm: 5.5663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9607 loss: 1.9607 2022/07/22 17:46:40 - mmengine - INFO - Epoch(train) [15][1560/3757] lr: 1.0000e-02 eta: 20:56:54 time: 0.2306 data_time: 0.0211 memory: 6108 grad_norm: 5.4697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6866 loss: 2.6866 2022/07/22 17:46:44 - mmengine - INFO - Epoch(train) [15][1580/3757] lr: 1.0000e-02 eta: 20:56:48 time: 0.2263 data_time: 0.0256 memory: 6108 grad_norm: 5.5071 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2412 loss: 2.2412 2022/07/22 17:46:50 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 1.0000e-02 eta: 20:56:47 time: 0.2639 data_time: 0.0256 memory: 6108 grad_norm: 5.6146 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0342 loss: 2.0342 2022/07/22 17:46:54 - mmengine - INFO - Epoch(train) [15][1620/3757] lr: 1.0000e-02 eta: 20:56:41 time: 0.2286 data_time: 0.0198 memory: 6108 grad_norm: 5.4928 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3484 loss: 2.3484 2022/07/22 17:46:59 - mmengine - INFO - Epoch(train) [15][1640/3757] lr: 1.0000e-02 eta: 20:56:37 time: 0.2358 data_time: 0.0208 memory: 6108 grad_norm: 5.5042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1929 loss: 2.1929 2022/07/22 17:47:03 - mmengine - INFO - Epoch(train) [15][1660/3757] lr: 1.0000e-02 eta: 20:56:31 time: 0.2252 data_time: 0.0244 memory: 6108 grad_norm: 5.4638 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2760 loss: 2.2760 2022/07/22 17:47:08 - mmengine - INFO - Epoch(train) [15][1680/3757] lr: 1.0000e-02 eta: 20:56:27 time: 0.2410 data_time: 0.0184 memory: 6108 grad_norm: 5.5447 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3631 loss: 2.3631 2022/07/22 17:47:13 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 1.0000e-02 eta: 20:56:21 time: 0.2270 data_time: 0.0196 memory: 6108 grad_norm: 5.6056 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4751 loss: 2.4751 2022/07/22 17:47:17 - mmengine - INFO - Epoch(train) [15][1720/3757] lr: 1.0000e-02 eta: 20:56:16 time: 0.2297 data_time: 0.0206 memory: 6108 grad_norm: 5.5395 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1990 loss: 2.1990 2022/07/22 17:47:22 - mmengine - INFO - Epoch(train) [15][1740/3757] lr: 1.0000e-02 eta: 20:56:12 time: 0.2400 data_time: 0.0269 memory: 6108 grad_norm: 5.5995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1527 loss: 2.1527 2022/07/22 17:47:27 - mmengine - INFO - Epoch(train) [15][1760/3757] lr: 1.0000e-02 eta: 20:56:07 time: 0.2278 data_time: 0.0210 memory: 6108 grad_norm: 5.6175 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1447 loss: 2.1447 2022/07/22 17:47:31 - mmengine - INFO - Epoch(train) [15][1780/3757] lr: 1.0000e-02 eta: 20:56:02 time: 0.2339 data_time: 0.0191 memory: 6108 grad_norm: 5.5121 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.4251 loss: 2.4251 2022/07/22 17:47:36 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 1.0000e-02 eta: 20:55:57 time: 0.2352 data_time: 0.0407 memory: 6108 grad_norm: 5.4669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1470 loss: 2.1470 2022/07/22 17:47:41 - mmengine - INFO - Epoch(train) [15][1820/3757] lr: 1.0000e-02 eta: 20:55:51 time: 0.2251 data_time: 0.0256 memory: 6108 grad_norm: 5.4033 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3925 loss: 2.3925 2022/07/22 17:47:45 - mmengine - INFO - Epoch(train) [15][1840/3757] lr: 1.0000e-02 eta: 20:55:47 time: 0.2338 data_time: 0.0249 memory: 6108 grad_norm: 5.7045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2875 loss: 2.2875 2022/07/22 17:47:50 - mmengine - INFO - Epoch(train) [15][1860/3757] lr: 1.0000e-02 eta: 20:55:43 time: 0.2433 data_time: 0.0284 memory: 6108 grad_norm: 5.5954 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0420 loss: 2.0420 2022/07/22 17:47:55 - mmengine - INFO - Epoch(train) [15][1880/3757] lr: 1.0000e-02 eta: 20:55:37 time: 0.2230 data_time: 0.0202 memory: 6108 grad_norm: 5.4850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4230 loss: 2.4230 2022/07/22 17:47:59 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 1.0000e-02 eta: 20:55:33 time: 0.2380 data_time: 0.0178 memory: 6108 grad_norm: 5.5777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2877 loss: 2.2877 2022/07/22 17:48:04 - mmengine - INFO - Epoch(train) [15][1920/3757] lr: 1.0000e-02 eta: 20:55:28 time: 0.2351 data_time: 0.0206 memory: 6108 grad_norm: 5.3778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1723 loss: 2.1723 2022/07/22 17:48:09 - mmengine - INFO - Epoch(train) [15][1940/3757] lr: 1.0000e-02 eta: 20:55:22 time: 0.2205 data_time: 0.0228 memory: 6108 grad_norm: 5.6489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1519 loss: 2.1519 2022/07/22 17:48:13 - mmengine - INFO - Epoch(train) [15][1960/3757] lr: 1.0000e-02 eta: 20:55:15 time: 0.2199 data_time: 0.0181 memory: 6108 grad_norm: 5.5498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9164 loss: 1.9164 2022/07/22 17:48:17 - mmengine - INFO - Epoch(train) [15][1980/3757] lr: 1.0000e-02 eta: 20:55:09 time: 0.2230 data_time: 0.0194 memory: 6108 grad_norm: 5.7090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2098 loss: 2.2098 2022/07/22 17:48:22 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 1.0000e-02 eta: 20:55:05 time: 0.2379 data_time: 0.0223 memory: 6108 grad_norm: 5.4467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0835 loss: 2.0835 2022/07/22 17:48:27 - mmengine - INFO - Epoch(train) [15][2020/3757] lr: 1.0000e-02 eta: 20:55:03 time: 0.2590 data_time: 0.0195 memory: 6108 grad_norm: 5.6521 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5458 loss: 2.5458 2022/07/22 17:48:32 - mmengine - INFO - Epoch(train) [15][2040/3757] lr: 1.0000e-02 eta: 20:54:58 time: 0.2287 data_time: 0.0195 memory: 6108 grad_norm: 5.5004 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1506 loss: 2.1506 2022/07/22 17:48:36 - mmengine - INFO - Epoch(train) [15][2060/3757] lr: 1.0000e-02 eta: 20:54:52 time: 0.2262 data_time: 0.0209 memory: 6108 grad_norm: 5.4585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0438 loss: 2.0438 2022/07/22 17:48:41 - mmengine - INFO - Epoch(train) [15][2080/3757] lr: 1.0000e-02 eta: 20:54:49 time: 0.2478 data_time: 0.0471 memory: 6108 grad_norm: 5.5845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4808 loss: 2.4808 2022/07/22 17:48:46 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 1.0000e-02 eta: 20:54:43 time: 0.2236 data_time: 0.0183 memory: 6108 grad_norm: 5.5207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5704 loss: 2.5704 2022/07/22 17:48:51 - mmengine - INFO - Epoch(train) [15][2120/3757] lr: 1.0000e-02 eta: 20:54:39 time: 0.2363 data_time: 0.0222 memory: 6108 grad_norm: 5.4746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1934 loss: 2.1934 2022/07/22 17:48:55 - mmengine - INFO - Epoch(train) [15][2140/3757] lr: 1.0000e-02 eta: 20:54:34 time: 0.2318 data_time: 0.0194 memory: 6108 grad_norm: 5.5638 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0124 loss: 2.0124 2022/07/22 17:49:00 - mmengine - INFO - Epoch(train) [15][2160/3757] lr: 1.0000e-02 eta: 20:54:30 time: 0.2453 data_time: 0.0277 memory: 6108 grad_norm: 5.5617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0753 loss: 2.0753 2022/07/22 17:49:05 - mmengine - INFO - Epoch(train) [15][2180/3757] lr: 1.0000e-02 eta: 20:54:23 time: 0.2178 data_time: 0.0236 memory: 6108 grad_norm: 5.5539 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1864 loss: 2.1864 2022/07/22 17:49:10 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 1.0000e-02 eta: 20:54:22 time: 0.2588 data_time: 0.0593 memory: 6108 grad_norm: 5.6405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2570 loss: 2.2570 2022/07/22 17:49:14 - mmengine - INFO - Epoch(train) [15][2220/3757] lr: 1.0000e-02 eta: 20:54:16 time: 0.2243 data_time: 0.0212 memory: 6108 grad_norm: 5.6550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4064 loss: 2.4064 2022/07/22 17:49:19 - mmengine - INFO - Epoch(train) [15][2240/3757] lr: 1.0000e-02 eta: 20:54:11 time: 0.2318 data_time: 0.0240 memory: 6108 grad_norm: 5.5305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3471 loss: 2.3471 2022/07/22 17:49:24 - mmengine - INFO - Epoch(train) [15][2260/3757] lr: 1.0000e-02 eta: 20:54:07 time: 0.2405 data_time: 0.0433 memory: 6108 grad_norm: 5.6199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3686 loss: 2.3686 2022/07/22 17:49:28 - mmengine - INFO - Epoch(train) [15][2280/3757] lr: 1.0000e-02 eta: 20:54:02 time: 0.2346 data_time: 0.0216 memory: 6108 grad_norm: 5.5021 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3368 loss: 2.3368 2022/07/22 17:49:33 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 1.0000e-02 eta: 20:53:58 time: 0.2377 data_time: 0.0223 memory: 6108 grad_norm: 5.4948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5835 loss: 2.5835 2022/07/22 17:49:38 - mmengine - INFO - Epoch(train) [15][2320/3757] lr: 1.0000e-02 eta: 20:53:53 time: 0.2322 data_time: 0.0156 memory: 6108 grad_norm: 5.6600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3210 loss: 2.3210 2022/07/22 17:49:42 - mmengine - INFO - Epoch(train) [15][2340/3757] lr: 1.0000e-02 eta: 20:53:47 time: 0.2235 data_time: 0.0205 memory: 6108 grad_norm: 5.5301 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3122 loss: 2.3122 2022/07/22 17:49:47 - mmengine - INFO - Epoch(train) [15][2360/3757] lr: 1.0000e-02 eta: 20:53:41 time: 0.2232 data_time: 0.0271 memory: 6108 grad_norm: 5.4323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4108 loss: 2.4108 2022/07/22 17:49:52 - mmengine - INFO - Epoch(train) [15][2380/3757] lr: 1.0000e-02 eta: 20:53:38 time: 0.2480 data_time: 0.0198 memory: 6108 grad_norm: 5.2942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3853 loss: 2.3853 2022/07/22 17:49:56 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 1.0000e-02 eta: 20:53:32 time: 0.2230 data_time: 0.0245 memory: 6108 grad_norm: 5.6420 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4270 loss: 2.4270 2022/07/22 17:49:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:50:01 - mmengine - INFO - Epoch(train) [15][2420/3757] lr: 1.0000e-02 eta: 20:53:26 time: 0.2304 data_time: 0.0203 memory: 6108 grad_norm: 5.4557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3285 loss: 2.3285 2022/07/22 17:50:05 - mmengine - INFO - Epoch(train) [15][2440/3757] lr: 1.0000e-02 eta: 20:53:21 time: 0.2252 data_time: 0.0236 memory: 6108 grad_norm: 5.4046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1368 loss: 2.1368 2022/07/22 17:50:10 - mmengine - INFO - Epoch(train) [15][2460/3757] lr: 1.0000e-02 eta: 20:53:15 time: 0.2271 data_time: 0.0221 memory: 6108 grad_norm: 5.6868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3964 loss: 2.3964 2022/07/22 17:50:15 - mmengine - INFO - Epoch(train) [15][2480/3757] lr: 1.0000e-02 eta: 20:53:11 time: 0.2429 data_time: 0.0229 memory: 6108 grad_norm: 5.3896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2981 loss: 2.2981 2022/07/22 17:50:19 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 1.0000e-02 eta: 20:53:06 time: 0.2268 data_time: 0.0182 memory: 6108 grad_norm: 5.4552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3374 loss: 2.3374 2022/07/22 17:50:25 - mmengine - INFO - Epoch(train) [15][2520/3757] lr: 1.0000e-02 eta: 20:53:05 time: 0.2684 data_time: 0.0173 memory: 6108 grad_norm: 5.4594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3012 loss: 2.3012 2022/07/22 17:50:29 - mmengine - INFO - Epoch(train) [15][2540/3757] lr: 1.0000e-02 eta: 20:52:59 time: 0.2244 data_time: 0.0187 memory: 6108 grad_norm: 5.3646 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2266 loss: 2.2266 2022/07/22 17:50:34 - mmengine - INFO - Epoch(train) [15][2560/3757] lr: 1.0000e-02 eta: 20:52:53 time: 0.2195 data_time: 0.0230 memory: 6108 grad_norm: 5.3664 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2329 loss: 2.2329 2022/07/22 17:50:38 - mmengine - INFO - Epoch(train) [15][2580/3757] lr: 1.0000e-02 eta: 20:52:48 time: 0.2380 data_time: 0.0241 memory: 6108 grad_norm: 5.5447 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3851 loss: 2.3851 2022/07/22 17:50:43 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 1.0000e-02 eta: 20:52:44 time: 0.2326 data_time: 0.0221 memory: 6108 grad_norm: 5.4515 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2657 loss: 2.2657 2022/07/22 17:50:48 - mmengine - INFO - Epoch(train) [15][2620/3757] lr: 1.0000e-02 eta: 20:52:38 time: 0.2284 data_time: 0.0224 memory: 6108 grad_norm: 5.4240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9891 loss: 1.9891 2022/07/22 17:50:53 - mmengine - INFO - Epoch(train) [15][2640/3757] lr: 1.0000e-02 eta: 20:52:36 time: 0.2604 data_time: 0.0202 memory: 6108 grad_norm: 5.5843 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1936 loss: 2.1936 2022/07/22 17:50:57 - mmengine - INFO - Epoch(train) [15][2660/3757] lr: 1.0000e-02 eta: 20:52:30 time: 0.2152 data_time: 0.0203 memory: 6108 grad_norm: 5.5493 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4480 loss: 2.4480 2022/07/22 17:51:02 - mmengine - INFO - Epoch(train) [15][2680/3757] lr: 1.0000e-02 eta: 20:52:28 time: 0.2586 data_time: 0.0197 memory: 6108 grad_norm: 5.6376 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3000 loss: 2.3000 2022/07/22 17:51:07 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 1.0000e-02 eta: 20:52:21 time: 0.2194 data_time: 0.0207 memory: 6108 grad_norm: 5.6299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1361 loss: 2.1361 2022/07/22 17:51:11 - mmengine - INFO - Epoch(train) [15][2720/3757] lr: 1.0000e-02 eta: 20:52:15 time: 0.2230 data_time: 0.0222 memory: 6108 grad_norm: 5.5627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4841 loss: 2.4841 2022/07/22 17:51:15 - mmengine - INFO - Epoch(train) [15][2740/3757] lr: 1.0000e-02 eta: 20:52:08 time: 0.2168 data_time: 0.0223 memory: 6108 grad_norm: 5.3789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3999 loss: 2.3999 2022/07/22 17:51:20 - mmengine - INFO - Epoch(train) [15][2760/3757] lr: 1.0000e-02 eta: 20:52:04 time: 0.2399 data_time: 0.0238 memory: 6108 grad_norm: 5.4903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2561 loss: 2.2561 2022/07/22 17:51:25 - mmengine - INFO - Epoch(train) [15][2780/3757] lr: 1.0000e-02 eta: 20:52:01 time: 0.2441 data_time: 0.0230 memory: 6108 grad_norm: 5.3256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2276 loss: 2.2276 2022/07/22 17:51:30 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 1.0000e-02 eta: 20:51:55 time: 0.2222 data_time: 0.0190 memory: 6108 grad_norm: 5.4928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2581 loss: 2.2581 2022/07/22 17:51:34 - mmengine - INFO - Epoch(train) [15][2820/3757] lr: 1.0000e-02 eta: 20:51:49 time: 0.2225 data_time: 0.0199 memory: 6108 grad_norm: 5.4358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0227 loss: 2.0227 2022/07/22 17:51:39 - mmengine - INFO - Epoch(train) [15][2840/3757] lr: 1.0000e-02 eta: 20:51:48 time: 0.2719 data_time: 0.0223 memory: 6108 grad_norm: 5.6404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6102 loss: 2.6102 2022/07/22 17:51:44 - mmengine - INFO - Epoch(train) [15][2860/3757] lr: 1.0000e-02 eta: 20:51:41 time: 0.2156 data_time: 0.0168 memory: 6108 grad_norm: 5.6635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0395 loss: 2.0395 2022/07/22 17:51:48 - mmengine - INFO - Epoch(train) [15][2880/3757] lr: 1.0000e-02 eta: 20:51:36 time: 0.2323 data_time: 0.0218 memory: 6108 grad_norm: 5.5064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5318 loss: 2.5318 2022/07/22 17:51:53 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 1.0000e-02 eta: 20:51:33 time: 0.2420 data_time: 0.0207 memory: 6108 grad_norm: 5.4687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2823 loss: 2.2823 2022/07/22 17:51:58 - mmengine - INFO - Epoch(train) [15][2920/3757] lr: 1.0000e-02 eta: 20:51:28 time: 0.2315 data_time: 0.0237 memory: 6108 grad_norm: 5.6598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6540 loss: 2.6540 2022/07/22 17:52:03 - mmengine - INFO - Epoch(train) [15][2940/3757] lr: 1.0000e-02 eta: 20:51:23 time: 0.2322 data_time: 0.0250 memory: 6108 grad_norm: 5.5281 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1876 loss: 2.1876 2022/07/22 17:52:07 - mmengine - INFO - Epoch(train) [15][2960/3757] lr: 1.0000e-02 eta: 20:51:16 time: 0.2220 data_time: 0.0243 memory: 6108 grad_norm: 5.6251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2626 loss: 2.2626 2022/07/22 17:52:12 - mmengine - INFO - Epoch(train) [15][2980/3757] lr: 1.0000e-02 eta: 20:51:13 time: 0.2414 data_time: 0.0192 memory: 6108 grad_norm: 5.6279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1835 loss: 2.1835 2022/07/22 17:52:17 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 1.0000e-02 eta: 20:51:09 time: 0.2452 data_time: 0.0246 memory: 6108 grad_norm: 5.5431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0072 loss: 2.0072 2022/07/22 17:52:22 - mmengine - INFO - Epoch(train) [15][3020/3757] lr: 1.0000e-02 eta: 20:51:05 time: 0.2438 data_time: 0.0222 memory: 6108 grad_norm: 5.5666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0498 loss: 2.0498 2022/07/22 17:52:26 - mmengine - INFO - Epoch(train) [15][3040/3757] lr: 1.0000e-02 eta: 20:50:59 time: 0.2197 data_time: 0.0213 memory: 6108 grad_norm: 5.5484 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4155 loss: 2.4155 2022/07/22 17:52:31 - mmengine - INFO - Epoch(train) [15][3060/3757] lr: 1.0000e-02 eta: 20:50:53 time: 0.2244 data_time: 0.0228 memory: 6108 grad_norm: 5.6057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5402 loss: 2.5402 2022/07/22 17:52:36 - mmengine - INFO - Epoch(train) [15][3080/3757] lr: 1.0000e-02 eta: 20:50:50 time: 0.2474 data_time: 0.0239 memory: 6108 grad_norm: 5.5674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3299 loss: 2.3299 2022/07/22 17:52:40 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 1.0000e-02 eta: 20:50:45 time: 0.2335 data_time: 0.0165 memory: 6108 grad_norm: 5.5023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9072 loss: 1.9072 2022/07/22 17:52:45 - mmengine - INFO - Epoch(train) [15][3120/3757] lr: 1.0000e-02 eta: 20:50:39 time: 0.2231 data_time: 0.0204 memory: 6108 grad_norm: 5.6101 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2721 loss: 2.2721 2022/07/22 17:52:49 - mmengine - INFO - Epoch(train) [15][3140/3757] lr: 1.0000e-02 eta: 20:50:33 time: 0.2219 data_time: 0.0207 memory: 6108 grad_norm: 5.4978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2699 loss: 2.2699 2022/07/22 17:52:54 - mmengine - INFO - Epoch(train) [15][3160/3757] lr: 1.0000e-02 eta: 20:50:28 time: 0.2345 data_time: 0.0265 memory: 6108 grad_norm: 5.4913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9371 loss: 1.9371 2022/07/22 17:52:59 - mmengine - INFO - Epoch(train) [15][3180/3757] lr: 1.0000e-02 eta: 20:50:24 time: 0.2382 data_time: 0.0210 memory: 6108 grad_norm: 5.5672 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2536 loss: 2.2536 2022/07/22 17:53:04 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 1.0000e-02 eta: 20:50:22 time: 0.2584 data_time: 0.0211 memory: 6108 grad_norm: 5.4928 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3757 loss: 2.3757 2022/07/22 17:53:08 - mmengine - INFO - Epoch(train) [15][3220/3757] lr: 1.0000e-02 eta: 20:50:18 time: 0.2372 data_time: 0.0200 memory: 6108 grad_norm: 5.5255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9606 loss: 1.9606 2022/07/22 17:53:13 - mmengine - INFO - Epoch(train) [15][3240/3757] lr: 1.0000e-02 eta: 20:50:12 time: 0.2217 data_time: 0.0220 memory: 6108 grad_norm: 5.6575 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0381 loss: 2.0381 2022/07/22 17:53:17 - mmengine - INFO - Epoch(train) [15][3260/3757] lr: 1.0000e-02 eta: 20:50:06 time: 0.2272 data_time: 0.0239 memory: 6108 grad_norm: 5.5833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3262 loss: 2.3262 2022/07/22 17:53:22 - mmengine - INFO - Epoch(train) [15][3280/3757] lr: 1.0000e-02 eta: 20:50:02 time: 0.2385 data_time: 0.0220 memory: 6108 grad_norm: 5.5697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2096 loss: 2.2096 2022/07/22 17:53:27 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 1.0000e-02 eta: 20:49:56 time: 0.2233 data_time: 0.0182 memory: 6108 grad_norm: 5.4195 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0247 loss: 2.0247 2022/07/22 17:53:32 - mmengine - INFO - Epoch(train) [15][3320/3757] lr: 1.0000e-02 eta: 20:49:52 time: 0.2432 data_time: 0.0213 memory: 6108 grad_norm: 5.5249 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4354 loss: 2.4354 2022/07/22 17:53:36 - mmengine - INFO - Epoch(train) [15][3340/3757] lr: 1.0000e-02 eta: 20:49:47 time: 0.2333 data_time: 0.0212 memory: 6108 grad_norm: 5.5051 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4180 loss: 2.4180 2022/07/22 17:53:41 - mmengine - INFO - Epoch(train) [15][3360/3757] lr: 1.0000e-02 eta: 20:49:44 time: 0.2456 data_time: 0.0210 memory: 6108 grad_norm: 5.6544 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2885 loss: 2.2885 2022/07/22 17:53:46 - mmengine - INFO - Epoch(train) [15][3380/3757] lr: 1.0000e-02 eta: 20:49:38 time: 0.2237 data_time: 0.0226 memory: 6108 grad_norm: 5.4896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/07/22 17:53:50 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 1.0000e-02 eta: 20:49:34 time: 0.2369 data_time: 0.0203 memory: 6108 grad_norm: 5.3980 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2633 loss: 2.2633 2022/07/22 17:53:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:53:55 - mmengine - INFO - Epoch(train) [15][3420/3757] lr: 1.0000e-02 eta: 20:49:28 time: 0.2262 data_time: 0.0301 memory: 6108 grad_norm: 5.4772 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2469 loss: 2.2469 2022/07/22 17:53:59 - mmengine - INFO - Epoch(train) [15][3440/3757] lr: 1.0000e-02 eta: 20:49:22 time: 0.2212 data_time: 0.0221 memory: 6108 grad_norm: 5.6455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3281 loss: 2.3281 2022/07/22 17:54:04 - mmengine - INFO - Epoch(train) [15][3460/3757] lr: 1.0000e-02 eta: 20:49:17 time: 0.2335 data_time: 0.0221 memory: 6108 grad_norm: 5.5133 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3632 loss: 2.3632 2022/07/22 17:54:09 - mmengine - INFO - Epoch(train) [15][3480/3757] lr: 1.0000e-02 eta: 20:49:12 time: 0.2327 data_time: 0.0244 memory: 6108 grad_norm: 5.2865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5443 loss: 2.5443 2022/07/22 17:54:14 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 1.0000e-02 eta: 20:49:08 time: 0.2407 data_time: 0.0193 memory: 6108 grad_norm: 5.4694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/07/22 17:54:18 - mmengine - INFO - Epoch(train) [15][3520/3757] lr: 1.0000e-02 eta: 20:49:02 time: 0.2261 data_time: 0.0237 memory: 6108 grad_norm: 5.6817 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7485 loss: 2.7485 2022/07/22 17:54:23 - mmengine - INFO - Epoch(train) [15][3540/3757] lr: 1.0000e-02 eta: 20:48:59 time: 0.2415 data_time: 0.0268 memory: 6108 grad_norm: 5.4052 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2981 loss: 2.2981 2022/07/22 17:54:28 - mmengine - INFO - Epoch(train) [15][3560/3757] lr: 1.0000e-02 eta: 20:48:54 time: 0.2326 data_time: 0.0225 memory: 6108 grad_norm: 5.4668 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4507 loss: 2.4507 2022/07/22 17:54:32 - mmengine - INFO - Epoch(train) [15][3580/3757] lr: 1.0000e-02 eta: 20:48:50 time: 0.2453 data_time: 0.0211 memory: 6108 grad_norm: 5.5440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5879 loss: 2.5879 2022/07/22 17:54:37 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 1.0000e-02 eta: 20:48:46 time: 0.2425 data_time: 0.0235 memory: 6108 grad_norm: 5.4957 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8829 loss: 1.8829 2022/07/22 17:54:42 - mmengine - INFO - Epoch(train) [15][3620/3757] lr: 1.0000e-02 eta: 20:48:41 time: 0.2288 data_time: 0.0291 memory: 6108 grad_norm: 5.4184 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2213 loss: 2.2213 2022/07/22 17:54:46 - mmengine - INFO - Epoch(train) [15][3640/3757] lr: 1.0000e-02 eta: 20:48:35 time: 0.2239 data_time: 0.0204 memory: 6108 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2965 loss: 2.2965 2022/07/22 17:54:51 - mmengine - INFO - Epoch(train) [15][3660/3757] lr: 1.0000e-02 eta: 20:48:31 time: 0.2430 data_time: 0.0170 memory: 6108 grad_norm: 5.6612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2961 loss: 2.2961 2022/07/22 17:54:56 - mmengine - INFO - Epoch(train) [15][3680/3757] lr: 1.0000e-02 eta: 20:48:26 time: 0.2289 data_time: 0.0251 memory: 6108 grad_norm: 5.6330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2677 loss: 2.2677 2022/07/22 17:55:00 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 1.0000e-02 eta: 20:48:21 time: 0.2303 data_time: 0.0199 memory: 6108 grad_norm: 5.6448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2421 loss: 2.2421 2022/07/22 17:55:05 - mmengine - INFO - Epoch(train) [15][3720/3757] lr: 1.0000e-02 eta: 20:48:16 time: 0.2284 data_time: 0.0221 memory: 6108 grad_norm: 5.6008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0318 loss: 2.0318 2022/07/22 17:55:09 - mmengine - INFO - Epoch(train) [15][3740/3757] lr: 1.0000e-02 eta: 20:48:10 time: 0.2228 data_time: 0.0259 memory: 6108 grad_norm: 5.4392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4129 loss: 2.4129 2022/07/22 17:55:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:55:13 - mmengine - INFO - Epoch(train) [15][3757/3757] lr: 1.0000e-02 eta: 20:48:10 time: 0.2169 data_time: 0.0230 memory: 6108 grad_norm: 5.4122 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2123 loss: 2.2123 2022/07/22 17:55:13 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/07/22 17:55:22 - mmengine - INFO - Epoch(val) [15][20/310] eta: 0:01:22 time: 0.2830 data_time: 0.2039 memory: 1428 2022/07/22 17:55:26 - mmengine - INFO - Epoch(val) [15][40/310] eta: 0:00:51 time: 0.1905 data_time: 0.1180 memory: 1428 2022/07/22 17:55:30 - mmengine - INFO - Epoch(val) [15][60/310] eta: 0:00:55 time: 0.2209 data_time: 0.1364 memory: 1428 2022/07/22 17:55:35 - mmengine - INFO - Epoch(val) [15][80/310] eta: 0:00:49 time: 0.2134 data_time: 0.1402 memory: 1428 2022/07/22 17:55:39 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:00:40 time: 0.1913 data_time: 0.1157 memory: 1428 2022/07/22 17:55:43 - mmengine - INFO - Epoch(val) [15][120/310] eta: 0:00:45 time: 0.2382 data_time: 0.1651 memory: 1428 2022/07/22 17:55:48 - mmengine - INFO - Epoch(val) [15][140/310] eta: 0:00:36 time: 0.2147 data_time: 0.1380 memory: 1428 2022/07/22 17:55:52 - mmengine - INFO - Epoch(val) [15][160/310] eta: 0:00:35 time: 0.2344 data_time: 0.1541 memory: 1428 2022/07/22 17:55:56 - mmengine - INFO - Epoch(val) [15][180/310] eta: 0:00:26 time: 0.2058 data_time: 0.1273 memory: 1428 2022/07/22 17:56:01 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:00:23 time: 0.2149 data_time: 0.1352 memory: 1428 2022/07/22 17:56:05 - mmengine - INFO - Epoch(val) [15][220/310] eta: 0:00:18 time: 0.2071 data_time: 0.1299 memory: 1428 2022/07/22 17:56:09 - mmengine - INFO - Epoch(val) [15][240/310] eta: 0:00:13 time: 0.1992 data_time: 0.1246 memory: 1428 2022/07/22 17:56:14 - mmengine - INFO - Epoch(val) [15][260/310] eta: 0:00:12 time: 0.2404 data_time: 0.1671 memory: 1428 2022/07/22 17:56:17 - mmengine - INFO - Epoch(val) [15][280/310] eta: 0:00:05 time: 0.1910 data_time: 0.1169 memory: 1428 2022/07/22 17:56:20 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:01 time: 0.1403 data_time: 0.0828 memory: 1428 2022/07/22 17:56:23 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.5199 acc/top5: 0.7769 acc/mean1: 0.5198 2022/07/22 17:56:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/07/22 17:56:26 - mmengine - INFO - The best checkpoint with 0.5199 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/07/22 17:56:32 - mmengine - INFO - Epoch(train) [16][20/3757] lr: 1.0000e-02 eta: 20:47:43 time: 0.2742 data_time: 0.0900 memory: 6108 grad_norm: 5.4223 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3305 loss: 2.3305 2022/07/22 17:56:36 - mmengine - INFO - Epoch(train) [16][40/3757] lr: 1.0000e-02 eta: 20:47:37 time: 0.2238 data_time: 0.0204 memory: 6108 grad_norm: 5.3359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0972 loss: 2.0972 2022/07/22 17:56:41 - mmengine - INFO - Epoch(train) [16][60/3757] lr: 1.0000e-02 eta: 20:47:32 time: 0.2369 data_time: 0.0266 memory: 6108 grad_norm: 5.6493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1383 loss: 2.1383 2022/07/22 17:56:45 - mmengine - INFO - Epoch(train) [16][80/3757] lr: 1.0000e-02 eta: 20:47:26 time: 0.2231 data_time: 0.0213 memory: 6108 grad_norm: 5.6109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0172 loss: 2.0172 2022/07/22 17:56:50 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 1.0000e-02 eta: 20:47:20 time: 0.2209 data_time: 0.0205 memory: 6108 grad_norm: 5.5228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1651 loss: 2.1651 2022/07/22 17:56:55 - mmengine - INFO - Epoch(train) [16][120/3757] lr: 1.0000e-02 eta: 20:47:15 time: 0.2332 data_time: 0.0271 memory: 6108 grad_norm: 5.6405 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2900 loss: 2.2900 2022/07/22 17:57:00 - mmengine - INFO - Epoch(train) [16][140/3757] lr: 1.0000e-02 eta: 20:47:13 time: 0.2546 data_time: 0.0469 memory: 6108 grad_norm: 5.5863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0318 loss: 2.0318 2022/07/22 17:57:04 - mmengine - INFO - Epoch(train) [16][160/3757] lr: 1.0000e-02 eta: 20:47:07 time: 0.2244 data_time: 0.0214 memory: 6108 grad_norm: 5.5107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4378 loss: 2.4378 2022/07/22 17:57:09 - mmengine - INFO - Epoch(train) [16][180/3757] lr: 1.0000e-02 eta: 20:47:02 time: 0.2325 data_time: 0.0231 memory: 6108 grad_norm: 5.3973 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1014 loss: 2.1014 2022/07/22 17:57:13 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 1.0000e-02 eta: 20:46:57 time: 0.2255 data_time: 0.0219 memory: 6108 grad_norm: 5.3189 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2608 loss: 2.2608 2022/07/22 17:57:18 - mmengine - INFO - Epoch(train) [16][220/3757] lr: 1.0000e-02 eta: 20:46:51 time: 0.2255 data_time: 0.0181 memory: 6108 grad_norm: 5.6432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2193 loss: 2.2193 2022/07/22 17:57:23 - mmengine - INFO - Epoch(train) [16][240/3757] lr: 1.0000e-02 eta: 20:46:48 time: 0.2483 data_time: 0.0273 memory: 6108 grad_norm: 5.5387 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9836 loss: 1.9836 2022/07/22 17:57:28 - mmengine - INFO - Epoch(train) [16][260/3757] lr: 1.0000e-02 eta: 20:46:47 time: 0.2683 data_time: 0.0195 memory: 6108 grad_norm: 5.4089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1449 loss: 2.1449 2022/07/22 17:57:34 - mmengine - INFO - Epoch(train) [16][280/3757] lr: 1.0000e-02 eta: 20:46:46 time: 0.2668 data_time: 0.0240 memory: 6108 grad_norm: 5.5677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2638 loss: 2.2638 2022/07/22 17:57:38 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 1.0000e-02 eta: 20:46:40 time: 0.2252 data_time: 0.0167 memory: 6108 grad_norm: 5.4069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1296 loss: 2.1296 2022/07/22 17:57:43 - mmengine - INFO - Epoch(train) [16][320/3757] lr: 1.0000e-02 eta: 20:46:36 time: 0.2400 data_time: 0.0173 memory: 6108 grad_norm: 5.3621 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1900 loss: 2.1900 2022/07/22 17:57:48 - mmengine - INFO - Epoch(train) [16][340/3757] lr: 1.0000e-02 eta: 20:46:32 time: 0.2384 data_time: 0.0216 memory: 6108 grad_norm: 5.6040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0907 loss: 2.0907 2022/07/22 17:57:52 - mmengine - INFO - Epoch(train) [16][360/3757] lr: 1.0000e-02 eta: 20:46:26 time: 0.2273 data_time: 0.0223 memory: 6108 grad_norm: 5.4457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2806 loss: 2.2806 2022/07/22 17:57:57 - mmengine - INFO - Epoch(train) [16][380/3757] lr: 1.0000e-02 eta: 20:46:20 time: 0.2242 data_time: 0.0180 memory: 6108 grad_norm: 5.5747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3201 loss: 2.3201 2022/07/22 17:58:01 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 1.0000e-02 eta: 20:46:16 time: 0.2403 data_time: 0.0243 memory: 6108 grad_norm: 5.6143 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5267 loss: 2.5267 2022/07/22 17:58:06 - mmengine - INFO - Epoch(train) [16][420/3757] lr: 1.0000e-02 eta: 20:46:11 time: 0.2296 data_time: 0.0221 memory: 6108 grad_norm: 5.6048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1295 loss: 2.1295 2022/07/22 17:58:11 - mmengine - INFO - Epoch(train) [16][440/3757] lr: 1.0000e-02 eta: 20:46:07 time: 0.2394 data_time: 0.0230 memory: 6108 grad_norm: 5.6025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2969 loss: 2.2969 2022/07/22 17:58:16 - mmengine - INFO - Epoch(train) [16][460/3757] lr: 1.0000e-02 eta: 20:46:03 time: 0.2411 data_time: 0.0255 memory: 6108 grad_norm: 5.6289 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1448 loss: 2.1448 2022/07/22 17:58:20 - mmengine - INFO - Epoch(train) [16][480/3757] lr: 1.0000e-02 eta: 20:45:59 time: 0.2355 data_time: 0.0208 memory: 6108 grad_norm: 5.4167 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9639 loss: 1.9639 2022/07/22 17:58:25 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 1.0000e-02 eta: 20:45:54 time: 0.2313 data_time: 0.0217 memory: 6108 grad_norm: 5.3466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1724 loss: 2.1724 2022/07/22 17:58:30 - mmengine - INFO - Epoch(train) [16][520/3757] lr: 1.0000e-02 eta: 20:45:49 time: 0.2343 data_time: 0.0236 memory: 6108 grad_norm: 5.4995 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1448 loss: 2.1448 2022/07/22 17:58:35 - mmengine - INFO - Epoch(train) [16][540/3757] lr: 1.0000e-02 eta: 20:45:47 time: 0.2633 data_time: 0.0162 memory: 6108 grad_norm: 5.6786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2603 loss: 2.2603 2022/07/22 17:58:40 - mmengine - INFO - Epoch(train) [16][560/3757] lr: 1.0000e-02 eta: 20:45:43 time: 0.2379 data_time: 0.0238 memory: 6108 grad_norm: 5.3927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2760 loss: 2.2760 2022/07/22 17:58:44 - mmengine - INFO - Epoch(train) [16][580/3757] lr: 1.0000e-02 eta: 20:45:37 time: 0.2195 data_time: 0.0234 memory: 6108 grad_norm: 5.5287 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3790 loss: 2.3790 2022/07/22 17:58:49 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 1.0000e-02 eta: 20:45:32 time: 0.2331 data_time: 0.0190 memory: 6108 grad_norm: 5.7751 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5661 loss: 2.5661 2022/07/22 17:58:54 - mmengine - INFO - Epoch(train) [16][620/3757] lr: 1.0000e-02 eta: 20:45:28 time: 0.2425 data_time: 0.0186 memory: 6108 grad_norm: 5.5365 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3531 loss: 2.3531 2022/07/22 17:58:58 - mmengine - INFO - Epoch(train) [16][640/3757] lr: 1.0000e-02 eta: 20:45:23 time: 0.2298 data_time: 0.0242 memory: 6108 grad_norm: 5.3738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8323 loss: 1.8323 2022/07/22 17:58:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 17:59:03 - mmengine - INFO - Epoch(train) [16][660/3757] lr: 1.0000e-02 eta: 20:45:18 time: 0.2306 data_time: 0.0247 memory: 6108 grad_norm: 5.5567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0942 loss: 2.0942 2022/07/22 17:59:07 - mmengine - INFO - Epoch(train) [16][680/3757] lr: 1.0000e-02 eta: 20:45:12 time: 0.2223 data_time: 0.0197 memory: 6108 grad_norm: 5.5980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3232 loss: 2.3232 2022/07/22 17:59:12 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 1.0000e-02 eta: 20:45:09 time: 0.2566 data_time: 0.0229 memory: 6108 grad_norm: 5.5871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9167 loss: 1.9167 2022/07/22 17:59:17 - mmengine - INFO - Epoch(train) [16][720/3757] lr: 1.0000e-02 eta: 20:45:04 time: 0.2260 data_time: 0.0177 memory: 6108 grad_norm: 5.4672 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2278 loss: 2.2278 2022/07/22 17:59:22 - mmengine - INFO - Epoch(train) [16][740/3757] lr: 1.0000e-02 eta: 20:44:59 time: 0.2297 data_time: 0.0233 memory: 6108 grad_norm: 5.7970 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2014 loss: 2.2014 2022/07/22 17:59:26 - mmengine - INFO - Epoch(train) [16][760/3757] lr: 1.0000e-02 eta: 20:44:53 time: 0.2250 data_time: 0.0267 memory: 6108 grad_norm: 5.5845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2014 loss: 2.2014 2022/07/22 17:59:31 - mmengine - INFO - Epoch(train) [16][780/3757] lr: 1.0000e-02 eta: 20:44:49 time: 0.2384 data_time: 0.0207 memory: 6108 grad_norm: 5.6778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9219 loss: 1.9219 2022/07/22 17:59:36 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 1.0000e-02 eta: 20:44:44 time: 0.2352 data_time: 0.0209 memory: 6108 grad_norm: 5.4132 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4269 loss: 2.4269 2022/07/22 17:59:41 - mmengine - INFO - Epoch(train) [16][820/3757] lr: 1.0000e-02 eta: 20:44:42 time: 0.2563 data_time: 0.0254 memory: 6108 grad_norm: 5.5746 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1981 loss: 2.1981 2022/07/22 17:59:45 - mmengine - INFO - Epoch(train) [16][840/3757] lr: 1.0000e-02 eta: 20:44:36 time: 0.2284 data_time: 0.0207 memory: 6108 grad_norm: 5.7547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3777 loss: 2.3777 2022/07/22 17:59:50 - mmengine - INFO - Epoch(train) [16][860/3757] lr: 1.0000e-02 eta: 20:44:30 time: 0.2231 data_time: 0.0225 memory: 6108 grad_norm: 5.8107 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1359 loss: 2.1359 2022/07/22 17:59:55 - mmengine - INFO - Epoch(train) [16][880/3757] lr: 1.0000e-02 eta: 20:44:27 time: 0.2496 data_time: 0.0500 memory: 6108 grad_norm: 5.6715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0385 loss: 2.0385 2022/07/22 17:59:59 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 1.0000e-02 eta: 20:44:23 time: 0.2350 data_time: 0.0247 memory: 6108 grad_norm: 5.5276 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3908 loss: 2.3908 2022/07/22 18:00:09 - mmengine - INFO - Epoch(train) [16][920/3757] lr: 1.0000e-02 eta: 20:44:44 time: 0.4667 data_time: 0.0274 memory: 6108 grad_norm: 5.5333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0134 loss: 2.0134 2022/07/22 18:00:13 - mmengine - INFO - Epoch(train) [16][940/3757] lr: 1.0000e-02 eta: 20:44:38 time: 0.2263 data_time: 0.0250 memory: 6108 grad_norm: 5.5487 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2692 loss: 2.2692 2022/07/22 18:00:18 - mmengine - INFO - Epoch(train) [16][960/3757] lr: 1.0000e-02 eta: 20:44:32 time: 0.2222 data_time: 0.0170 memory: 6108 grad_norm: 5.7354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4758 loss: 2.4758 2022/07/22 18:00:23 - mmengine - INFO - Epoch(train) [16][980/3757] lr: 1.0000e-02 eta: 20:44:29 time: 0.2507 data_time: 0.0174 memory: 6108 grad_norm: 5.7729 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0963 loss: 2.0963 2022/07/22 18:00:27 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 1.0000e-02 eta: 20:44:23 time: 0.2199 data_time: 0.0236 memory: 6108 grad_norm: 5.5239 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1728 loss: 2.1728 2022/07/22 18:00:32 - mmengine - INFO - Epoch(train) [16][1020/3757] lr: 1.0000e-02 eta: 20:44:18 time: 0.2269 data_time: 0.0254 memory: 6108 grad_norm: 5.4910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5196 loss: 2.5196 2022/07/22 18:00:36 - mmengine - INFO - Epoch(train) [16][1040/3757] lr: 1.0000e-02 eta: 20:44:12 time: 0.2256 data_time: 0.0251 memory: 6108 grad_norm: 5.2951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1206 loss: 2.1206 2022/07/22 18:00:41 - mmengine - INFO - Epoch(train) [16][1060/3757] lr: 1.0000e-02 eta: 20:44:07 time: 0.2320 data_time: 0.0235 memory: 6108 grad_norm: 5.3843 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/07/22 18:00:46 - mmengine - INFO - Epoch(train) [16][1080/3757] lr: 1.0000e-02 eta: 20:44:03 time: 0.2411 data_time: 0.0208 memory: 6108 grad_norm: 5.3604 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9184 loss: 1.9184 2022/07/22 18:00:50 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 1.0000e-02 eta: 20:43:57 time: 0.2207 data_time: 0.0195 memory: 6108 grad_norm: 5.4580 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3697 loss: 2.3697 2022/07/22 18:00:55 - mmengine - INFO - Epoch(train) [16][1120/3757] lr: 1.0000e-02 eta: 20:43:53 time: 0.2432 data_time: 0.0235 memory: 6108 grad_norm: 5.5384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4777 loss: 2.4777 2022/07/22 18:00:59 - mmengine - INFO - Epoch(train) [16][1140/3757] lr: 1.0000e-02 eta: 20:43:46 time: 0.2185 data_time: 0.0190 memory: 6108 grad_norm: 5.5635 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1144 loss: 2.1144 2022/07/22 18:01:04 - mmengine - INFO - Epoch(train) [16][1160/3757] lr: 1.0000e-02 eta: 20:43:41 time: 0.2316 data_time: 0.0187 memory: 6108 grad_norm: 5.5227 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2900 loss: 2.2900 2022/07/22 18:01:09 - mmengine - INFO - Epoch(train) [16][1180/3757] lr: 1.0000e-02 eta: 20:43:38 time: 0.2466 data_time: 0.0532 memory: 6108 grad_norm: 5.2585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0655 loss: 2.0655 2022/07/22 18:01:14 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 1.0000e-02 eta: 20:43:34 time: 0.2389 data_time: 0.0373 memory: 6108 grad_norm: 5.4880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9667 loss: 1.9667 2022/07/22 18:01:18 - mmengine - INFO - Epoch(train) [16][1220/3757] lr: 1.0000e-02 eta: 20:43:28 time: 0.2224 data_time: 0.0236 memory: 6108 grad_norm: 5.5496 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4753 loss: 2.4753 2022/07/22 18:01:23 - mmengine - INFO - Epoch(train) [16][1240/3757] lr: 1.0000e-02 eta: 20:43:23 time: 0.2339 data_time: 0.0221 memory: 6108 grad_norm: 5.8029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3357 loss: 2.3357 2022/07/22 18:01:28 - mmengine - INFO - Epoch(train) [16][1260/3757] lr: 1.0000e-02 eta: 20:43:18 time: 0.2325 data_time: 0.0234 memory: 6108 grad_norm: 5.7683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5396 loss: 2.5396 2022/07/22 18:01:33 - mmengine - INFO - Epoch(train) [16][1280/3757] lr: 1.0000e-02 eta: 20:43:16 time: 0.2550 data_time: 0.0168 memory: 6108 grad_norm: 5.6404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4971 loss: 2.4971 2022/07/22 18:01:37 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 1.0000e-02 eta: 20:43:10 time: 0.2214 data_time: 0.0275 memory: 6108 grad_norm: 5.4416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1911 loss: 2.1911 2022/07/22 18:01:42 - mmengine - INFO - Epoch(train) [16][1320/3757] lr: 1.0000e-02 eta: 20:43:05 time: 0.2307 data_time: 0.0206 memory: 6108 grad_norm: 5.5563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3441 loss: 2.3441 2022/07/22 18:01:46 - mmengine - INFO - Epoch(train) [16][1340/3757] lr: 1.0000e-02 eta: 20:42:59 time: 0.2288 data_time: 0.0241 memory: 6108 grad_norm: 5.4991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5916 loss: 2.5916 2022/07/22 18:01:51 - mmengine - INFO - Epoch(train) [16][1360/3757] lr: 1.0000e-02 eta: 20:42:55 time: 0.2366 data_time: 0.0199 memory: 6108 grad_norm: 5.4766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0422 loss: 2.0422 2022/07/22 18:01:56 - mmengine - INFO - Epoch(train) [16][1380/3757] lr: 1.0000e-02 eta: 20:42:50 time: 0.2386 data_time: 0.0200 memory: 6108 grad_norm: 5.7236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2319 loss: 2.2319 2022/07/22 18:02:00 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 1.0000e-02 eta: 20:42:45 time: 0.2302 data_time: 0.0224 memory: 6108 grad_norm: 5.5199 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2153 loss: 2.2153 2022/07/22 18:02:05 - mmengine - INFO - Epoch(train) [16][1420/3757] lr: 1.0000e-02 eta: 20:42:39 time: 0.2206 data_time: 0.0247 memory: 6108 grad_norm: 5.5490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4589 loss: 2.4589 2022/07/22 18:02:09 - mmengine - INFO - Epoch(train) [16][1440/3757] lr: 1.0000e-02 eta: 20:42:33 time: 0.2195 data_time: 0.0213 memory: 6108 grad_norm: 5.5202 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1623 loss: 2.1623 2022/07/22 18:02:14 - mmengine - INFO - Epoch(train) [16][1460/3757] lr: 1.0000e-02 eta: 20:42:30 time: 0.2548 data_time: 0.0214 memory: 6108 grad_norm: 5.5532 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2224 loss: 2.2224 2022/07/22 18:02:19 - mmengine - INFO - Epoch(train) [16][1480/3757] lr: 1.0000e-02 eta: 20:42:24 time: 0.2214 data_time: 0.0211 memory: 6108 grad_norm: 5.6044 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1332 loss: 2.1332 2022/07/22 18:02:24 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 1.0000e-02 eta: 20:42:19 time: 0.2336 data_time: 0.0211 memory: 6108 grad_norm: 5.6916 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3266 loss: 2.3266 2022/07/22 18:02:28 - mmengine - INFO - Epoch(train) [16][1520/3757] lr: 1.0000e-02 eta: 20:42:14 time: 0.2266 data_time: 0.0205 memory: 6108 grad_norm: 5.5340 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3478 loss: 2.3478 2022/07/22 18:02:33 - mmengine - INFO - Epoch(train) [16][1540/3757] lr: 1.0000e-02 eta: 20:42:10 time: 0.2439 data_time: 0.0410 memory: 6108 grad_norm: 5.5511 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7542 loss: 2.7542 2022/07/22 18:02:38 - mmengine - INFO - Epoch(train) [16][1560/3757] lr: 1.0000e-02 eta: 20:42:06 time: 0.2374 data_time: 0.0388 memory: 6108 grad_norm: 5.5791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4256 loss: 2.4256 2022/07/22 18:02:42 - mmengine - INFO - Epoch(train) [16][1580/3757] lr: 1.0000e-02 eta: 20:42:01 time: 0.2354 data_time: 0.0252 memory: 6108 grad_norm: 5.5747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2209 loss: 2.2209 2022/07/22 18:02:47 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 1.0000e-02 eta: 20:41:56 time: 0.2297 data_time: 0.0246 memory: 6108 grad_norm: 5.5853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2003 loss: 2.2003 2022/07/22 18:02:52 - mmengine - INFO - Epoch(train) [16][1620/3757] lr: 1.0000e-02 eta: 20:41:52 time: 0.2384 data_time: 0.0212 memory: 6108 grad_norm: 5.5995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3428 loss: 2.3428 2022/07/22 18:02:56 - mmengine - INFO - Epoch(train) [16][1640/3757] lr: 1.0000e-02 eta: 20:41:46 time: 0.2240 data_time: 0.0177 memory: 6108 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0420 loss: 2.0420 2022/07/22 18:02:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:03:01 - mmengine - INFO - Epoch(train) [16][1660/3757] lr: 1.0000e-02 eta: 20:41:40 time: 0.2279 data_time: 0.0261 memory: 6108 grad_norm: 5.6066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3116 loss: 2.3116 2022/07/22 18:03:05 - mmengine - INFO - Epoch(train) [16][1680/3757] lr: 1.0000e-02 eta: 20:41:34 time: 0.2215 data_time: 0.0182 memory: 6108 grad_norm: 5.4039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2225 loss: 2.2225 2022/07/22 18:03:10 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 1.0000e-02 eta: 20:41:28 time: 0.2194 data_time: 0.0227 memory: 6108 grad_norm: 5.6255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5083 loss: 2.5083 2022/07/22 18:03:15 - mmengine - INFO - Epoch(train) [16][1720/3757] lr: 1.0000e-02 eta: 20:41:25 time: 0.2490 data_time: 0.0182 memory: 6108 grad_norm: 5.5096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4781 loss: 2.4781 2022/07/22 18:03:19 - mmengine - INFO - Epoch(train) [16][1740/3757] lr: 1.0000e-02 eta: 20:41:19 time: 0.2261 data_time: 0.0268 memory: 6108 grad_norm: 5.6577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3306 loss: 2.3306 2022/07/22 18:03:24 - mmengine - INFO - Epoch(train) [16][1760/3757] lr: 1.0000e-02 eta: 20:41:15 time: 0.2379 data_time: 0.0362 memory: 6108 grad_norm: 5.5043 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2927 loss: 2.2927 2022/07/22 18:03:29 - mmengine - INFO - Epoch(train) [16][1780/3757] lr: 1.0000e-02 eta: 20:41:13 time: 0.2618 data_time: 0.0762 memory: 6108 grad_norm: 5.5282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3088 loss: 2.3088 2022/07/22 18:03:34 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 1.0000e-02 eta: 20:41:07 time: 0.2198 data_time: 0.0155 memory: 6108 grad_norm: 5.8473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5967 loss: 2.5967 2022/07/22 18:03:38 - mmengine - INFO - Epoch(train) [16][1820/3757] lr: 1.0000e-02 eta: 20:41:01 time: 0.2269 data_time: 0.0305 memory: 6108 grad_norm: 5.4506 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3124 loss: 2.3124 2022/07/22 18:03:43 - mmengine - INFO - Epoch(train) [16][1840/3757] lr: 1.0000e-02 eta: 20:40:58 time: 0.2443 data_time: 0.0440 memory: 6108 grad_norm: 5.4946 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1518 loss: 2.1518 2022/07/22 18:03:48 - mmengine - INFO - Epoch(train) [16][1860/3757] lr: 1.0000e-02 eta: 20:40:53 time: 0.2335 data_time: 0.0191 memory: 6108 grad_norm: 5.5959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0830 loss: 2.0830 2022/07/22 18:03:53 - mmengine - INFO - Epoch(train) [16][1880/3757] lr: 1.0000e-02 eta: 20:40:49 time: 0.2409 data_time: 0.0192 memory: 6108 grad_norm: 5.5415 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3152 loss: 2.3152 2022/07/22 18:03:57 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 1.0000e-02 eta: 20:40:44 time: 0.2282 data_time: 0.0231 memory: 6108 grad_norm: 5.5897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2581 loss: 2.2581 2022/07/22 18:04:02 - mmengine - INFO - Epoch(train) [16][1920/3757] lr: 1.0000e-02 eta: 20:40:38 time: 0.2274 data_time: 0.0212 memory: 6108 grad_norm: 5.8237 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3721 loss: 2.3721 2022/07/22 18:04:06 - mmengine - INFO - Epoch(train) [16][1940/3757] lr: 1.0000e-02 eta: 20:40:32 time: 0.2253 data_time: 0.0242 memory: 6108 grad_norm: 5.6598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1510 loss: 2.1510 2022/07/22 18:04:11 - mmengine - INFO - Epoch(train) [16][1960/3757] lr: 1.0000e-02 eta: 20:40:29 time: 0.2439 data_time: 0.0414 memory: 6108 grad_norm: 5.6290 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4850 loss: 2.4850 2022/07/22 18:04:16 - mmengine - INFO - Epoch(train) [16][1980/3757] lr: 1.0000e-02 eta: 20:40:24 time: 0.2292 data_time: 0.0203 memory: 6108 grad_norm: 5.5775 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1237 loss: 2.1237 2022/07/22 18:04:20 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 1.0000e-02 eta: 20:40:20 time: 0.2421 data_time: 0.0184 memory: 6108 grad_norm: 5.5788 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4675 loss: 2.4675 2022/07/22 18:04:25 - mmengine - INFO - Epoch(train) [16][2020/3757] lr: 1.0000e-02 eta: 20:40:15 time: 0.2342 data_time: 0.0210 memory: 6108 grad_norm: 5.5057 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0370 loss: 2.0370 2022/07/22 18:04:30 - mmengine - INFO - Epoch(train) [16][2040/3757] lr: 1.0000e-02 eta: 20:40:09 time: 0.2190 data_time: 0.0211 memory: 6108 grad_norm: 5.6151 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0470 loss: 2.0470 2022/07/22 18:04:34 - mmengine - INFO - Epoch(train) [16][2060/3757] lr: 1.0000e-02 eta: 20:40:03 time: 0.2242 data_time: 0.0224 memory: 6108 grad_norm: 5.7708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2013 loss: 2.2013 2022/07/22 18:04:39 - mmengine - INFO - Epoch(train) [16][2080/3757] lr: 1.0000e-02 eta: 20:39:58 time: 0.2305 data_time: 0.0258 memory: 6108 grad_norm: 5.4835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3064 loss: 2.3064 2022/07/22 18:04:44 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 1.0000e-02 eta: 20:39:55 time: 0.2492 data_time: 0.0184 memory: 6108 grad_norm: 5.4702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1257 loss: 2.1257 2022/07/22 18:04:48 - mmengine - INFO - Epoch(train) [16][2120/3757] lr: 1.0000e-02 eta: 20:39:48 time: 0.2194 data_time: 0.0214 memory: 6108 grad_norm: 5.4863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1102 loss: 2.1102 2022/07/22 18:04:53 - mmengine - INFO - Epoch(train) [16][2140/3757] lr: 1.0000e-02 eta: 20:39:43 time: 0.2248 data_time: 0.0264 memory: 6108 grad_norm: 5.3897 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3146 loss: 2.3146 2022/07/22 18:04:57 - mmengine - INFO - Epoch(train) [16][2160/3757] lr: 1.0000e-02 eta: 20:39:38 time: 0.2326 data_time: 0.0187 memory: 6108 grad_norm: 5.4114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2514 loss: 2.2514 2022/07/22 18:05:02 - mmengine - INFO - Epoch(train) [16][2180/3757] lr: 1.0000e-02 eta: 20:39:35 time: 0.2501 data_time: 0.0191 memory: 6108 grad_norm: 5.6020 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/07/22 18:05:07 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 1.0000e-02 eta: 20:39:29 time: 0.2267 data_time: 0.0222 memory: 6108 grad_norm: 5.5548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4933 loss: 2.4933 2022/07/22 18:05:11 - mmengine - INFO - Epoch(train) [16][2220/3757] lr: 1.0000e-02 eta: 20:39:24 time: 0.2285 data_time: 0.0226 memory: 6108 grad_norm: 5.4476 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4576 loss: 2.4576 2022/07/22 18:05:16 - mmengine - INFO - Epoch(train) [16][2240/3757] lr: 1.0000e-02 eta: 20:39:18 time: 0.2274 data_time: 0.0213 memory: 6108 grad_norm: 5.4720 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0783 loss: 2.0783 2022/07/22 18:05:20 - mmengine - INFO - Epoch(train) [16][2260/3757] lr: 1.0000e-02 eta: 20:39:12 time: 0.2239 data_time: 0.0283 memory: 6108 grad_norm: 5.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4957 loss: 2.4957 2022/07/22 18:05:25 - mmengine - INFO - Epoch(train) [16][2280/3757] lr: 1.0000e-02 eta: 20:39:07 time: 0.2241 data_time: 0.0206 memory: 6108 grad_norm: 5.5680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2792 loss: 2.2792 2022/07/22 18:05:30 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 1.0000e-02 eta: 20:39:02 time: 0.2317 data_time: 0.0279 memory: 6108 grad_norm: 5.4783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2982 loss: 2.2982 2022/07/22 18:05:34 - mmengine - INFO - Epoch(train) [16][2320/3757] lr: 1.0000e-02 eta: 20:38:57 time: 0.2338 data_time: 0.0204 memory: 6108 grad_norm: 5.3470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/07/22 18:05:39 - mmengine - INFO - Epoch(train) [16][2340/3757] lr: 1.0000e-02 eta: 20:38:51 time: 0.2249 data_time: 0.0232 memory: 6108 grad_norm: 5.4645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2436 loss: 2.2436 2022/07/22 18:05:43 - mmengine - INFO - Epoch(train) [16][2360/3757] lr: 1.0000e-02 eta: 20:38:47 time: 0.2351 data_time: 0.0307 memory: 6108 grad_norm: 5.6495 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4211 loss: 2.4211 2022/07/22 18:05:48 - mmengine - INFO - Epoch(train) [16][2380/3757] lr: 1.0000e-02 eta: 20:38:42 time: 0.2379 data_time: 0.0369 memory: 6108 grad_norm: 5.5331 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1154 loss: 2.1154 2022/07/22 18:05:53 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 1.0000e-02 eta: 20:38:37 time: 0.2304 data_time: 0.0207 memory: 6108 grad_norm: 5.5358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1955 loss: 2.1955 2022/07/22 18:05:57 - mmengine - INFO - Epoch(train) [16][2420/3757] lr: 1.0000e-02 eta: 20:38:32 time: 0.2328 data_time: 0.0333 memory: 6108 grad_norm: 5.4739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1196 loss: 2.1196 2022/07/22 18:06:02 - mmengine - INFO - Epoch(train) [16][2440/3757] lr: 1.0000e-02 eta: 20:38:28 time: 0.2415 data_time: 0.0441 memory: 6108 grad_norm: 5.5694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0976 loss: 2.0976 2022/07/22 18:06:07 - mmengine - INFO - Epoch(train) [16][2460/3757] lr: 1.0000e-02 eta: 20:38:23 time: 0.2272 data_time: 0.0200 memory: 6108 grad_norm: 5.6313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4440 loss: 2.4440 2022/07/22 18:06:11 - mmengine - INFO - Epoch(train) [16][2480/3757] lr: 1.0000e-02 eta: 20:38:18 time: 0.2318 data_time: 0.0185 memory: 6108 grad_norm: 5.6622 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6031 loss: 2.6031 2022/07/22 18:06:16 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 1.0000e-02 eta: 20:38:12 time: 0.2233 data_time: 0.0253 memory: 6108 grad_norm: 5.4845 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8589 loss: 1.8589 2022/07/22 18:06:21 - mmengine - INFO - Epoch(train) [16][2520/3757] lr: 1.0000e-02 eta: 20:38:08 time: 0.2410 data_time: 0.0188 memory: 6108 grad_norm: 5.6694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1914 loss: 2.1914 2022/07/22 18:06:26 - mmengine - INFO - Epoch(train) [16][2540/3757] lr: 1.0000e-02 eta: 20:38:04 time: 0.2371 data_time: 0.0168 memory: 6108 grad_norm: 5.4176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5316 loss: 2.5316 2022/07/22 18:06:31 - mmengine - INFO - Epoch(train) [16][2560/3757] lr: 1.0000e-02 eta: 20:38:02 time: 0.2671 data_time: 0.0226 memory: 6108 grad_norm: 5.6159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0102 loss: 2.0102 2022/07/22 18:06:35 - mmengine - INFO - Epoch(train) [16][2580/3757] lr: 1.0000e-02 eta: 20:37:57 time: 0.2266 data_time: 0.0209 memory: 6108 grad_norm: 5.5012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2115 loss: 2.2115 2022/07/22 18:06:40 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 1.0000e-02 eta: 20:37:53 time: 0.2392 data_time: 0.0169 memory: 6108 grad_norm: 5.5757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1611 loss: 2.1611 2022/07/22 18:06:45 - mmengine - INFO - Epoch(train) [16][2620/3757] lr: 1.0000e-02 eta: 20:37:47 time: 0.2237 data_time: 0.0218 memory: 6108 grad_norm: 5.4683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2028 loss: 2.2028 2022/07/22 18:06:49 - mmengine - INFO - Epoch(train) [16][2640/3757] lr: 1.0000e-02 eta: 20:37:42 time: 0.2294 data_time: 0.0217 memory: 6108 grad_norm: 5.6198 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5756 loss: 2.5756 2022/07/22 18:06:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:06:54 - mmengine - INFO - Epoch(train) [16][2660/3757] lr: 1.0000e-02 eta: 20:37:37 time: 0.2362 data_time: 0.0195 memory: 6108 grad_norm: 5.5452 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8970 loss: 1.8970 2022/07/22 18:06:58 - mmengine - INFO - Epoch(train) [16][2680/3757] lr: 1.0000e-02 eta: 20:37:31 time: 0.2204 data_time: 0.0207 memory: 6108 grad_norm: 5.5211 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0061 loss: 2.0061 2022/07/22 18:07:03 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 1.0000e-02 eta: 20:37:28 time: 0.2494 data_time: 0.0244 memory: 6108 grad_norm: 5.3603 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0846 loss: 2.0846 2022/07/22 18:07:08 - mmengine - INFO - Epoch(train) [16][2720/3757] lr: 1.0000e-02 eta: 20:37:22 time: 0.2250 data_time: 0.0216 memory: 6108 grad_norm: 5.5132 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3682 loss: 2.3682 2022/07/22 18:07:13 - mmengine - INFO - Epoch(train) [16][2740/3757] lr: 1.0000e-02 eta: 20:37:17 time: 0.2284 data_time: 0.0226 memory: 6108 grad_norm: 5.5286 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3306 loss: 2.3306 2022/07/22 18:07:17 - mmengine - INFO - Epoch(train) [16][2760/3757] lr: 1.0000e-02 eta: 20:37:11 time: 0.2237 data_time: 0.0258 memory: 6108 grad_norm: 5.5884 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1878 loss: 2.1878 2022/07/22 18:07:22 - mmengine - INFO - Epoch(train) [16][2780/3757] lr: 1.0000e-02 eta: 20:37:05 time: 0.2271 data_time: 0.0238 memory: 6108 grad_norm: 5.5576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2332 loss: 2.2332 2022/07/22 18:07:26 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 1.0000e-02 eta: 20:37:01 time: 0.2389 data_time: 0.0345 memory: 6108 grad_norm: 5.4104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2629 loss: 2.2629 2022/07/22 18:07:32 - mmengine - INFO - Epoch(train) [16][2820/3757] lr: 1.0000e-02 eta: 20:36:59 time: 0.2617 data_time: 0.0629 memory: 6108 grad_norm: 5.4717 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3431 loss: 2.3431 2022/07/22 18:07:36 - mmengine - INFO - Epoch(train) [16][2840/3757] lr: 1.0000e-02 eta: 20:36:55 time: 0.2328 data_time: 0.0330 memory: 6108 grad_norm: 5.4607 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3632 loss: 2.3632 2022/07/22 18:07:41 - mmengine - INFO - Epoch(train) [16][2860/3757] lr: 1.0000e-02 eta: 20:36:51 time: 0.2498 data_time: 0.0529 memory: 6108 grad_norm: 5.3230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1355 loss: 2.1355 2022/07/22 18:07:46 - mmengine - INFO - Epoch(train) [16][2880/3757] lr: 1.0000e-02 eta: 20:36:46 time: 0.2317 data_time: 0.0162 memory: 6108 grad_norm: 5.3975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2472 loss: 2.2472 2022/07/22 18:07:50 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 1.0000e-02 eta: 20:36:40 time: 0.2210 data_time: 0.0206 memory: 6108 grad_norm: 5.5469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0652 loss: 2.0652 2022/07/22 18:07:55 - mmengine - INFO - Epoch(train) [16][2920/3757] lr: 1.0000e-02 eta: 20:36:35 time: 0.2244 data_time: 0.0187 memory: 6108 grad_norm: 5.4668 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0532 loss: 2.0532 2022/07/22 18:07:59 - mmengine - INFO - Epoch(train) [16][2940/3757] lr: 1.0000e-02 eta: 20:36:29 time: 0.2274 data_time: 0.0273 memory: 6108 grad_norm: 5.6262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0914 loss: 2.0914 2022/07/22 18:08:05 - mmengine - INFO - Epoch(train) [16][2960/3757] lr: 1.0000e-02 eta: 20:36:29 time: 0.2783 data_time: 0.0292 memory: 6108 grad_norm: 5.4620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2269 loss: 2.2269 2022/07/22 18:08:10 - mmengine - INFO - Epoch(train) [16][2980/3757] lr: 1.0000e-02 eta: 20:36:24 time: 0.2289 data_time: 0.0155 memory: 6108 grad_norm: 5.5158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3398 loss: 2.3398 2022/07/22 18:08:14 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 1.0000e-02 eta: 20:36:18 time: 0.2233 data_time: 0.0236 memory: 6108 grad_norm: 5.5755 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3597 loss: 2.3597 2022/07/22 18:08:18 - mmengine - INFO - Epoch(train) [16][3020/3757] lr: 1.0000e-02 eta: 20:36:12 time: 0.2203 data_time: 0.0195 memory: 6108 grad_norm: 5.5383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0858 loss: 2.0858 2022/07/22 18:08:23 - mmengine - INFO - Epoch(train) [16][3040/3757] lr: 1.0000e-02 eta: 20:36:08 time: 0.2396 data_time: 0.0209 memory: 6108 grad_norm: 5.4866 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1847 loss: 2.1847 2022/07/22 18:08:28 - mmengine - INFO - Epoch(train) [16][3060/3757] lr: 1.0000e-02 eta: 20:36:04 time: 0.2400 data_time: 0.0234 memory: 6108 grad_norm: 5.5084 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3011 loss: 2.3011 2022/07/22 18:08:33 - mmengine - INFO - Epoch(train) [16][3080/3757] lr: 1.0000e-02 eta: 20:35:59 time: 0.2322 data_time: 0.0179 memory: 6108 grad_norm: 5.4929 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1035 loss: 2.1035 2022/07/22 18:08:38 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 1.0000e-02 eta: 20:35:56 time: 0.2567 data_time: 0.0641 memory: 6108 grad_norm: 5.4686 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4940 loss: 2.4940 2022/07/22 18:08:42 - mmengine - INFO - Epoch(train) [16][3120/3757] lr: 1.0000e-02 eta: 20:35:51 time: 0.2290 data_time: 0.0356 memory: 6108 grad_norm: 5.3012 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0111 loss: 2.0111 2022/07/22 18:08:47 - mmengine - INFO - Epoch(train) [16][3140/3757] lr: 1.0000e-02 eta: 20:35:46 time: 0.2291 data_time: 0.0222 memory: 6108 grad_norm: 5.4796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4412 loss: 2.4412 2022/07/22 18:08:52 - mmengine - INFO - Epoch(train) [16][3160/3757] lr: 1.0000e-02 eta: 20:35:41 time: 0.2304 data_time: 0.0198 memory: 6108 grad_norm: 5.4453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2025 loss: 2.2025 2022/07/22 18:08:57 - mmengine - INFO - Epoch(train) [16][3180/3757] lr: 1.0000e-02 eta: 20:35:37 time: 0.2473 data_time: 0.0225 memory: 6108 grad_norm: 5.5834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2749 loss: 2.2749 2022/07/22 18:09:01 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 1.0000e-02 eta: 20:35:33 time: 0.2423 data_time: 0.0202 memory: 6108 grad_norm: 5.5783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1966 loss: 2.1966 2022/07/22 18:09:06 - mmengine - INFO - Epoch(train) [16][3220/3757] lr: 1.0000e-02 eta: 20:35:27 time: 0.2185 data_time: 0.0232 memory: 6108 grad_norm: 5.4966 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2586 loss: 2.2586 2022/07/22 18:09:11 - mmengine - INFO - Epoch(train) [16][3240/3757] lr: 1.0000e-02 eta: 20:35:23 time: 0.2402 data_time: 0.0242 memory: 6108 grad_norm: 5.4698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3816 loss: 2.3816 2022/07/22 18:09:15 - mmengine - INFO - Epoch(train) [16][3260/3757] lr: 1.0000e-02 eta: 20:35:17 time: 0.2229 data_time: 0.0208 memory: 6108 grad_norm: 5.3686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6166 loss: 2.6166 2022/07/22 18:09:19 - mmengine - INFO - Epoch(train) [16][3280/3757] lr: 1.0000e-02 eta: 20:35:11 time: 0.2226 data_time: 0.0213 memory: 6108 grad_norm: 5.4201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2549 loss: 2.2549 2022/07/22 18:09:25 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 1.0000e-02 eta: 20:35:09 time: 0.2631 data_time: 0.0209 memory: 6108 grad_norm: 5.6715 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1119 loss: 2.1119 2022/07/22 18:09:29 - mmengine - INFO - Epoch(train) [16][3320/3757] lr: 1.0000e-02 eta: 20:35:04 time: 0.2240 data_time: 0.0197 memory: 6108 grad_norm: 5.6390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5277 loss: 2.5277 2022/07/22 18:09:34 - mmengine - INFO - Epoch(train) [16][3340/3757] lr: 1.0000e-02 eta: 20:34:58 time: 0.2248 data_time: 0.0226 memory: 6108 grad_norm: 5.6245 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3933 loss: 2.3933 2022/07/22 18:09:39 - mmengine - INFO - Epoch(train) [16][3360/3757] lr: 1.0000e-02 eta: 20:34:55 time: 0.2563 data_time: 0.0194 memory: 6108 grad_norm: 5.5003 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9694 loss: 1.9694 2022/07/22 18:09:43 - mmengine - INFO - Epoch(train) [16][3380/3757] lr: 1.0000e-02 eta: 20:34:50 time: 0.2277 data_time: 0.0260 memory: 6108 grad_norm: 5.5711 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2252 loss: 2.2252 2022/07/22 18:09:48 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 1.0000e-02 eta: 20:34:44 time: 0.2183 data_time: 0.0205 memory: 6108 grad_norm: 5.6572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1119 loss: 2.1119 2022/07/22 18:09:53 - mmengine - INFO - Epoch(train) [16][3420/3757] lr: 1.0000e-02 eta: 20:34:41 time: 0.2522 data_time: 0.0259 memory: 6108 grad_norm: 5.5609 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2750 loss: 2.2750 2022/07/22 18:09:58 - mmengine - INFO - Epoch(train) [16][3440/3757] lr: 1.0000e-02 eta: 20:34:36 time: 0.2320 data_time: 0.0169 memory: 6108 grad_norm: 5.3446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2253 loss: 2.2253 2022/07/22 18:10:03 - mmengine - INFO - Epoch(train) [16][3460/3757] lr: 1.0000e-02 eta: 20:34:34 time: 0.2571 data_time: 0.0215 memory: 6108 grad_norm: 5.6320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3764 loss: 2.3764 2022/07/22 18:10:07 - mmengine - INFO - Epoch(train) [16][3480/3757] lr: 1.0000e-02 eta: 20:34:27 time: 0.2200 data_time: 0.0321 memory: 6108 grad_norm: 5.5248 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5162 loss: 2.5162 2022/07/22 18:10:12 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 1.0000e-02 eta: 20:34:23 time: 0.2387 data_time: 0.0197 memory: 6108 grad_norm: 5.3781 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1991 loss: 2.1991 2022/07/22 18:10:17 - mmengine - INFO - Epoch(train) [16][3520/3757] lr: 1.0000e-02 eta: 20:34:22 time: 0.2695 data_time: 0.0197 memory: 6108 grad_norm: 5.5484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1334 loss: 2.1334 2022/07/22 18:10:22 - mmengine - INFO - Epoch(train) [16][3540/3757] lr: 1.0000e-02 eta: 20:34:17 time: 0.2282 data_time: 0.0246 memory: 6108 grad_norm: 5.3150 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1579 loss: 2.1579 2022/07/22 18:10:26 - mmengine - INFO - Epoch(train) [16][3560/3757] lr: 1.0000e-02 eta: 20:34:11 time: 0.2238 data_time: 0.0230 memory: 6108 grad_norm: 5.6288 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4095 loss: 2.4095 2022/07/22 18:10:31 - mmengine - INFO - Epoch(train) [16][3580/3757] lr: 1.0000e-02 eta: 20:34:08 time: 0.2466 data_time: 0.0178 memory: 6108 grad_norm: 5.5797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3944 loss: 2.3944 2022/07/22 18:10:36 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 1.0000e-02 eta: 20:34:01 time: 0.2199 data_time: 0.0209 memory: 6108 grad_norm: 5.5744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4257 loss: 2.4257 2022/07/22 18:10:40 - mmengine - INFO - Epoch(train) [16][3620/3757] lr: 1.0000e-02 eta: 20:33:56 time: 0.2250 data_time: 0.0221 memory: 6108 grad_norm: 5.3441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3617 loss: 2.3617 2022/07/22 18:10:45 - mmengine - INFO - Epoch(train) [16][3640/3757] lr: 1.0000e-02 eta: 20:33:51 time: 0.2303 data_time: 0.0190 memory: 6108 grad_norm: 5.3495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9805 loss: 1.9805 2022/07/22 18:10:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:10:50 - mmengine - INFO - Epoch(train) [16][3660/3757] lr: 1.0000e-02 eta: 20:33:46 time: 0.2372 data_time: 0.0225 memory: 6108 grad_norm: 5.5816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0992 loss: 2.0992 2022/07/22 18:10:54 - mmengine - INFO - Epoch(train) [16][3680/3757] lr: 1.0000e-02 eta: 20:33:41 time: 0.2259 data_time: 0.0244 memory: 6108 grad_norm: 5.3431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9699 loss: 1.9699 2022/07/22 18:11:00 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 1.0000e-02 eta: 20:33:40 time: 0.2736 data_time: 0.0183 memory: 6108 grad_norm: 5.8204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3397 loss: 2.3397 2022/07/22 18:11:04 - mmengine - INFO - Epoch(train) [16][3720/3757] lr: 1.0000e-02 eta: 20:33:34 time: 0.2248 data_time: 0.0197 memory: 6108 grad_norm: 5.6936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0129 loss: 2.0129 2022/07/22 18:11:09 - mmengine - INFO - Epoch(train) [16][3740/3757] lr: 1.0000e-02 eta: 20:33:30 time: 0.2373 data_time: 0.0185 memory: 6108 grad_norm: 5.5641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2225 loss: 2.2225 2022/07/22 18:11:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:11:12 - mmengine - INFO - Epoch(train) [16][3757/3757] lr: 1.0000e-02 eta: 20:33:30 time: 0.2036 data_time: 0.0146 memory: 6108 grad_norm: 5.4916 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.9917 loss: 1.9917 2022/07/22 18:11:18 - mmengine - INFO - Epoch(val) [16][20/310] eta: 0:01:22 time: 0.2851 data_time: 0.2070 memory: 1428 2022/07/22 18:11:21 - mmengine - INFO - Epoch(val) [16][40/310] eta: 0:00:47 time: 0.1757 data_time: 0.1012 memory: 1428 2022/07/22 18:11:26 - mmengine - INFO - Epoch(val) [16][60/310] eta: 0:00:56 time: 0.2247 data_time: 0.1477 memory: 1428 2022/07/22 18:11:30 - mmengine - INFO - Epoch(val) [16][80/310] eta: 0:00:41 time: 0.1792 data_time: 0.1025 memory: 1428 2022/07/22 18:11:35 - mmengine - INFO - Epoch(val) [16][100/310] eta: 0:00:54 time: 0.2591 data_time: 0.1824 memory: 1428 2022/07/22 18:11:38 - mmengine - INFO - Epoch(val) [16][120/310] eta: 0:00:34 time: 0.1833 data_time: 0.1107 memory: 1428 2022/07/22 18:11:43 - mmengine - INFO - Epoch(val) [16][140/310] eta: 0:00:37 time: 0.2217 data_time: 0.1494 memory: 1428 2022/07/22 18:11:47 - mmengine - INFO - Epoch(val) [16][160/310] eta: 0:00:29 time: 0.1952 data_time: 0.1225 memory: 1428 2022/07/22 18:11:51 - mmengine - INFO - Epoch(val) [16][180/310] eta: 0:00:29 time: 0.2307 data_time: 0.1594 memory: 1428 2022/07/22 18:11:55 - mmengine - INFO - Epoch(val) [16][200/310] eta: 0:00:20 time: 0.1836 data_time: 0.1095 memory: 1428 2022/07/22 18:12:00 - mmengine - INFO - Epoch(val) [16][220/310] eta: 0:00:22 time: 0.2528 data_time: 0.1741 memory: 1428 2022/07/22 18:12:04 - mmengine - INFO - Epoch(val) [16][240/310] eta: 0:00:13 time: 0.1877 data_time: 0.1109 memory: 1428 2022/07/22 18:12:09 - mmengine - INFO - Epoch(val) [16][260/310] eta: 0:00:12 time: 0.2490 data_time: 0.1742 memory: 1428 2022/07/22 18:12:13 - mmengine - INFO - Epoch(val) [16][280/310] eta: 0:00:05 time: 0.1855 data_time: 0.1080 memory: 1428 2022/07/22 18:12:17 - mmengine - INFO - Epoch(val) [16][300/310] eta: 0:00:02 time: 0.2231 data_time: 0.1476 memory: 1428 2022/07/22 18:12:21 - mmengine - INFO - Epoch(val) [16][310/310] acc/top1: 0.5236 acc/top5: 0.7809 acc/mean1: 0.5235 2022/07/22 18:12:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/07/22 18:12:23 - mmengine - INFO - The best checkpoint with 0.5236 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/07/22 18:12:29 - mmengine - INFO - Epoch(train) [17][20/3757] lr: 1.0000e-02 eta: 20:33:08 time: 0.3043 data_time: 0.1217 memory: 6108 grad_norm: 5.4411 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9787 loss: 1.9787 2022/07/22 18:12:33 - mmengine - INFO - Epoch(train) [17][40/3757] lr: 1.0000e-02 eta: 20:33:02 time: 0.2292 data_time: 0.0323 memory: 6108 grad_norm: 5.4604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1927 loss: 2.1927 2022/07/22 18:12:38 - mmengine - INFO - Epoch(train) [17][60/3757] lr: 1.0000e-02 eta: 20:32:57 time: 0.2265 data_time: 0.0242 memory: 6108 grad_norm: 5.7005 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5772 loss: 2.5772 2022/07/22 18:12:42 - mmengine - INFO - Epoch(train) [17][80/3757] lr: 1.0000e-02 eta: 20:32:52 time: 0.2319 data_time: 0.0211 memory: 6108 grad_norm: 5.6158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1845 loss: 2.1845 2022/07/22 18:12:47 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 1.0000e-02 eta: 20:32:47 time: 0.2330 data_time: 0.0339 memory: 6108 grad_norm: 5.5118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2198 loss: 2.2198 2022/07/22 18:12:52 - mmengine - INFO - Epoch(train) [17][120/3757] lr: 1.0000e-02 eta: 20:32:42 time: 0.2344 data_time: 0.0347 memory: 6108 grad_norm: 5.3883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2060 loss: 2.2060 2022/07/22 18:12:57 - mmengine - INFO - Epoch(train) [17][140/3757] lr: 1.0000e-02 eta: 20:32:38 time: 0.2369 data_time: 0.0375 memory: 6108 grad_norm: 5.4168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1177 loss: 2.1177 2022/07/22 18:13:01 - mmengine - INFO - Epoch(train) [17][160/3757] lr: 1.0000e-02 eta: 20:32:34 time: 0.2394 data_time: 0.0192 memory: 6108 grad_norm: 5.2694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9465 loss: 1.9465 2022/07/22 18:13:06 - mmengine - INFO - Epoch(train) [17][180/3757] lr: 1.0000e-02 eta: 20:32:29 time: 0.2299 data_time: 0.0343 memory: 6108 grad_norm: 5.3431 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0303 loss: 2.0303 2022/07/22 18:13:10 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 1.0000e-02 eta: 20:32:23 time: 0.2268 data_time: 0.0199 memory: 6108 grad_norm: 5.6974 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2281 loss: 2.2281 2022/07/22 18:13:16 - mmengine - INFO - Epoch(train) [17][220/3757] lr: 1.0000e-02 eta: 20:32:22 time: 0.2697 data_time: 0.0704 memory: 6108 grad_norm: 5.6466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8352 loss: 1.8352 2022/07/22 18:13:21 - mmengine - INFO - Epoch(train) [17][240/3757] lr: 1.0000e-02 eta: 20:32:18 time: 0.2418 data_time: 0.0495 memory: 6108 grad_norm: 5.4093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8930 loss: 1.8930 2022/07/22 18:13:25 - mmengine - INFO - Epoch(train) [17][260/3757] lr: 1.0000e-02 eta: 20:32:14 time: 0.2355 data_time: 0.0327 memory: 6108 grad_norm: 5.5154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2651 loss: 2.2651 2022/07/22 18:13:30 - mmengine - INFO - Epoch(train) [17][280/3757] lr: 1.0000e-02 eta: 20:32:07 time: 0.2203 data_time: 0.0186 memory: 6108 grad_norm: 5.6325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2174 loss: 2.2174 2022/07/22 18:13:34 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 1.0000e-02 eta: 20:32:01 time: 0.2226 data_time: 0.0244 memory: 6108 grad_norm: 5.7588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/07/22 18:13:39 - mmengine - INFO - Epoch(train) [17][320/3757] lr: 1.0000e-02 eta: 20:31:57 time: 0.2403 data_time: 0.0309 memory: 6108 grad_norm: 5.3460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1831 loss: 2.1831 2022/07/22 18:13:44 - mmengine - INFO - Epoch(train) [17][340/3757] lr: 1.0000e-02 eta: 20:31:54 time: 0.2514 data_time: 0.0419 memory: 6108 grad_norm: 5.5067 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0707 loss: 2.0707 2022/07/22 18:13:49 - mmengine - INFO - Epoch(train) [17][360/3757] lr: 1.0000e-02 eta: 20:31:49 time: 0.2233 data_time: 0.0234 memory: 6108 grad_norm: 5.5644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3422 loss: 2.3422 2022/07/22 18:13:54 - mmengine - INFO - Epoch(train) [17][380/3757] lr: 1.0000e-02 eta: 20:31:48 time: 0.2701 data_time: 0.0796 memory: 6108 grad_norm: 5.5179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1772 loss: 2.1772 2022/07/22 18:13:59 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 1.0000e-02 eta: 20:31:42 time: 0.2256 data_time: 0.0258 memory: 6108 grad_norm: 5.4155 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4820 loss: 2.4820 2022/07/22 18:14:03 - mmengine - INFO - Epoch(train) [17][420/3757] lr: 1.0000e-02 eta: 20:31:37 time: 0.2296 data_time: 0.0254 memory: 6108 grad_norm: 5.6727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0914 loss: 2.0914 2022/07/22 18:14:08 - mmengine - INFO - Epoch(train) [17][440/3757] lr: 1.0000e-02 eta: 20:31:31 time: 0.2262 data_time: 0.0200 memory: 6108 grad_norm: 5.6259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/07/22 18:14:12 - mmengine - INFO - Epoch(train) [17][460/3757] lr: 1.0000e-02 eta: 20:31:25 time: 0.2223 data_time: 0.0245 memory: 6108 grad_norm: 5.5654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2760 loss: 2.2760 2022/07/22 18:14:17 - mmengine - INFO - Epoch(train) [17][480/3757] lr: 1.0000e-02 eta: 20:31:21 time: 0.2378 data_time: 0.0286 memory: 6108 grad_norm: 5.6117 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2095 loss: 2.2095 2022/07/22 18:14:22 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 1.0000e-02 eta: 20:31:16 time: 0.2329 data_time: 0.0221 memory: 6108 grad_norm: 5.6280 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2708 loss: 2.2708 2022/07/22 18:14:26 - mmengine - INFO - Epoch(train) [17][520/3757] lr: 1.0000e-02 eta: 20:31:10 time: 0.2242 data_time: 0.0222 memory: 6108 grad_norm: 5.4743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1076 loss: 2.1076 2022/07/22 18:14:32 - mmengine - INFO - Epoch(train) [17][540/3757] lr: 1.0000e-02 eta: 20:31:11 time: 0.2886 data_time: 0.0266 memory: 6108 grad_norm: 5.2306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1240 loss: 2.1240 2022/07/22 18:14:36 - mmengine - INFO - Epoch(train) [17][560/3757] lr: 1.0000e-02 eta: 20:31:05 time: 0.2203 data_time: 0.0188 memory: 6108 grad_norm: 5.5752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1422 loss: 2.1422 2022/07/22 18:14:41 - mmengine - INFO - Epoch(train) [17][580/3757] lr: 1.0000e-02 eta: 20:30:59 time: 0.2221 data_time: 0.0195 memory: 6108 grad_norm: 5.4266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9698 loss: 1.9698 2022/07/22 18:14:45 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 1.0000e-02 eta: 20:30:54 time: 0.2323 data_time: 0.0179 memory: 6108 grad_norm: 5.4421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9637 loss: 1.9637 2022/07/22 18:14:50 - mmengine - INFO - Epoch(train) [17][620/3757] lr: 1.0000e-02 eta: 20:30:50 time: 0.2430 data_time: 0.0179 memory: 6108 grad_norm: 5.4561 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4162 loss: 2.4162 2022/07/22 18:14:55 - mmengine - INFO - Epoch(train) [17][640/3757] lr: 1.0000e-02 eta: 20:30:46 time: 0.2405 data_time: 0.0218 memory: 6108 grad_norm: 5.5937 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1824 loss: 2.1824 2022/07/22 18:15:00 - mmengine - INFO - Epoch(train) [17][660/3757] lr: 1.0000e-02 eta: 20:30:41 time: 0.2310 data_time: 0.0232 memory: 6108 grad_norm: 5.5026 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2577 loss: 2.2577 2022/07/22 18:15:04 - mmengine - INFO - Epoch(train) [17][680/3757] lr: 1.0000e-02 eta: 20:30:36 time: 0.2298 data_time: 0.0201 memory: 6108 grad_norm: 5.3423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4326 loss: 2.4326 2022/07/22 18:15:09 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 1.0000e-02 eta: 20:30:31 time: 0.2332 data_time: 0.0214 memory: 6108 grad_norm: 5.5746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0454 loss: 2.0454 2022/07/22 18:15:13 - mmengine - INFO - Epoch(train) [17][720/3757] lr: 1.0000e-02 eta: 20:30:26 time: 0.2237 data_time: 0.0188 memory: 6108 grad_norm: 5.6421 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1989 loss: 2.1989 2022/07/22 18:15:18 - mmengine - INFO - Epoch(train) [17][740/3757] lr: 1.0000e-02 eta: 20:30:19 time: 0.2181 data_time: 0.0182 memory: 6108 grad_norm: 5.6043 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2039 loss: 2.2039 2022/07/22 18:15:22 - mmengine - INFO - Epoch(train) [17][760/3757] lr: 1.0000e-02 eta: 20:30:14 time: 0.2338 data_time: 0.0246 memory: 6108 grad_norm: 5.4043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2497 loss: 2.2497 2022/07/22 18:15:27 - mmengine - INFO - Epoch(train) [17][780/3757] lr: 1.0000e-02 eta: 20:30:10 time: 0.2398 data_time: 0.0191 memory: 6108 grad_norm: 5.4923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5027 loss: 2.5027 2022/07/22 18:15:33 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 1.0000e-02 eta: 20:30:10 time: 0.2739 data_time: 0.0176 memory: 6108 grad_norm: 5.3681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9587 loss: 1.9587 2022/07/22 18:15:37 - mmengine - INFO - Epoch(train) [17][820/3757] lr: 1.0000e-02 eta: 20:30:04 time: 0.2235 data_time: 0.0214 memory: 6108 grad_norm: 5.5015 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2980 loss: 2.2980 2022/07/22 18:15:42 - mmengine - INFO - Epoch(train) [17][840/3757] lr: 1.0000e-02 eta: 20:30:00 time: 0.2444 data_time: 0.0202 memory: 6108 grad_norm: 5.4377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0619 loss: 2.0619 2022/07/22 18:15:47 - mmengine - INFO - Epoch(train) [17][860/3757] lr: 1.0000e-02 eta: 20:29:54 time: 0.2231 data_time: 0.0242 memory: 6108 grad_norm: 5.5796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9467 loss: 1.9467 2022/07/22 18:15:51 - mmengine - INFO - Epoch(train) [17][880/3757] lr: 1.0000e-02 eta: 20:29:50 time: 0.2359 data_time: 0.0196 memory: 6108 grad_norm: 5.7085 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2252 loss: 2.2252 2022/07/22 18:15:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:15:56 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 1.0000e-02 eta: 20:29:45 time: 0.2315 data_time: 0.0210 memory: 6108 grad_norm: 5.4611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0816 loss: 2.0816 2022/07/22 18:16:01 - mmengine - INFO - Epoch(train) [17][920/3757] lr: 1.0000e-02 eta: 20:29:42 time: 0.2504 data_time: 0.0289 memory: 6108 grad_norm: 5.6382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1134 loss: 2.1134 2022/07/22 18:16:06 - mmengine - INFO - Epoch(train) [17][940/3757] lr: 1.0000e-02 eta: 20:29:36 time: 0.2273 data_time: 0.0254 memory: 6108 grad_norm: 5.8094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2405 loss: 2.2405 2022/07/22 18:16:10 - mmengine - INFO - Epoch(train) [17][960/3757] lr: 1.0000e-02 eta: 20:29:31 time: 0.2268 data_time: 0.0225 memory: 6108 grad_norm: 5.6351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1953 loss: 2.1953 2022/07/22 18:16:15 - mmengine - INFO - Epoch(train) [17][980/3757] lr: 1.0000e-02 eta: 20:29:25 time: 0.2236 data_time: 0.0238 memory: 6108 grad_norm: 5.4530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9870 loss: 1.9870 2022/07/22 18:16:20 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 1.0000e-02 eta: 20:29:22 time: 0.2499 data_time: 0.0256 memory: 6108 grad_norm: 5.4202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0029 loss: 2.0029 2022/07/22 18:16:24 - mmengine - INFO - Epoch(train) [17][1020/3757] lr: 1.0000e-02 eta: 20:29:18 time: 0.2404 data_time: 0.0199 memory: 6108 grad_norm: 5.7994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2508 loss: 2.2508 2022/07/22 18:16:29 - mmengine - INFO - Epoch(train) [17][1040/3757] lr: 1.0000e-02 eta: 20:29:12 time: 0.2265 data_time: 0.0226 memory: 6108 grad_norm: 5.4127 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9970 loss: 1.9970 2022/07/22 18:16:33 - mmengine - INFO - Epoch(train) [17][1060/3757] lr: 1.0000e-02 eta: 20:29:06 time: 0.2210 data_time: 0.0184 memory: 6108 grad_norm: 5.4975 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0781 loss: 2.0781 2022/07/22 18:16:38 - mmengine - INFO - Epoch(train) [17][1080/3757] lr: 1.0000e-02 eta: 20:29:00 time: 0.2239 data_time: 0.0239 memory: 6108 grad_norm: 5.6768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1987 loss: 2.1987 2022/07/22 18:16:43 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 1.0000e-02 eta: 20:28:56 time: 0.2376 data_time: 0.0199 memory: 6108 grad_norm: 5.8462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2537 loss: 2.2537 2022/07/22 18:16:47 - mmengine - INFO - Epoch(train) [17][1120/3757] lr: 1.0000e-02 eta: 20:28:51 time: 0.2264 data_time: 0.0259 memory: 6108 grad_norm: 5.4394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0197 loss: 2.0197 2022/07/22 18:16:52 - mmengine - INFO - Epoch(train) [17][1140/3757] lr: 1.0000e-02 eta: 20:28:46 time: 0.2324 data_time: 0.0216 memory: 6108 grad_norm: 5.5001 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0971 loss: 2.0971 2022/07/22 18:16:56 - mmengine - INFO - Epoch(train) [17][1160/3757] lr: 1.0000e-02 eta: 20:28:39 time: 0.2201 data_time: 0.0207 memory: 6108 grad_norm: 5.5435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3392 loss: 2.3392 2022/07/22 18:17:01 - mmengine - INFO - Epoch(train) [17][1180/3757] lr: 1.0000e-02 eta: 20:28:36 time: 0.2442 data_time: 0.0236 memory: 6108 grad_norm: 5.5466 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5281 loss: 2.5281 2022/07/22 18:17:06 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 1.0000e-02 eta: 20:28:31 time: 0.2341 data_time: 0.0212 memory: 6108 grad_norm: 5.4379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0553 loss: 2.0553 2022/07/22 18:17:10 - mmengine - INFO - Epoch(train) [17][1220/3757] lr: 1.0000e-02 eta: 20:28:26 time: 0.2306 data_time: 0.0277 memory: 6108 grad_norm: 5.5246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1520 loss: 2.1520 2022/07/22 18:17:15 - mmengine - INFO - Epoch(train) [17][1240/3757] lr: 1.0000e-02 eta: 20:28:20 time: 0.2257 data_time: 0.0267 memory: 6108 grad_norm: 5.6484 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1872 loss: 2.1872 2022/07/22 18:17:20 - mmengine - INFO - Epoch(train) [17][1260/3757] lr: 1.0000e-02 eta: 20:28:16 time: 0.2330 data_time: 0.0376 memory: 6108 grad_norm: 5.5880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2851 loss: 2.2851 2022/07/22 18:17:24 - mmengine - INFO - Epoch(train) [17][1280/3757] lr: 1.0000e-02 eta: 20:28:11 time: 0.2371 data_time: 0.0259 memory: 6108 grad_norm: 5.6722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5917 loss: 2.5917 2022/07/22 18:17:29 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 1.0000e-02 eta: 20:28:07 time: 0.2404 data_time: 0.0216 memory: 6108 grad_norm: 5.7599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6203 loss: 2.6203 2022/07/22 18:17:34 - mmengine - INFO - Epoch(train) [17][1320/3757] lr: 1.0000e-02 eta: 20:28:03 time: 0.2453 data_time: 0.0189 memory: 6108 grad_norm: 5.5079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9562 loss: 1.9562 2022/07/22 18:17:39 - mmengine - INFO - Epoch(train) [17][1340/3757] lr: 1.0000e-02 eta: 20:27:58 time: 0.2234 data_time: 0.0252 memory: 6108 grad_norm: 5.5101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3270 loss: 2.3270 2022/07/22 18:17:43 - mmengine - INFO - Epoch(train) [17][1360/3757] lr: 1.0000e-02 eta: 20:27:52 time: 0.2294 data_time: 0.0213 memory: 6108 grad_norm: 5.5970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2341 loss: 2.2341 2022/07/22 18:17:48 - mmengine - INFO - Epoch(train) [17][1380/3757] lr: 1.0000e-02 eta: 20:27:50 time: 0.2602 data_time: 0.0696 memory: 6108 grad_norm: 5.6688 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2638 loss: 2.2638 2022/07/22 18:17:53 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 1.0000e-02 eta: 20:27:45 time: 0.2250 data_time: 0.0233 memory: 6108 grad_norm: 5.6633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1785 loss: 2.1785 2022/07/22 18:17:57 - mmengine - INFO - Epoch(train) [17][1420/3757] lr: 1.0000e-02 eta: 20:27:40 time: 0.2310 data_time: 0.0324 memory: 6108 grad_norm: 5.6054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4589 loss: 2.4589 2022/07/22 18:18:02 - mmengine - INFO - Epoch(train) [17][1440/3757] lr: 1.0000e-02 eta: 20:27:36 time: 0.2438 data_time: 0.0286 memory: 6108 grad_norm: 5.3303 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2677 loss: 2.2677 2022/07/22 18:18:07 - mmengine - INFO - Epoch(train) [17][1460/3757] lr: 1.0000e-02 eta: 20:27:32 time: 0.2422 data_time: 0.0171 memory: 6108 grad_norm: 5.6277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3035 loss: 2.3035 2022/07/22 18:18:12 - mmengine - INFO - Epoch(train) [17][1480/3757] lr: 1.0000e-02 eta: 20:27:28 time: 0.2387 data_time: 0.0270 memory: 6108 grad_norm: 5.5299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0647 loss: 2.0647 2022/07/22 18:18:17 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 1.0000e-02 eta: 20:27:23 time: 0.2291 data_time: 0.0166 memory: 6108 grad_norm: 5.5111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3984 loss: 2.3984 2022/07/22 18:18:21 - mmengine - INFO - Epoch(train) [17][1520/3757] lr: 1.0000e-02 eta: 20:27:17 time: 0.2261 data_time: 0.0280 memory: 6108 grad_norm: 5.4344 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9284 loss: 1.9284 2022/07/22 18:18:26 - mmengine - INFO - Epoch(train) [17][1540/3757] lr: 1.0000e-02 eta: 20:27:12 time: 0.2276 data_time: 0.0235 memory: 6108 grad_norm: 5.5933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3177 loss: 2.3177 2022/07/22 18:18:30 - mmengine - INFO - Epoch(train) [17][1560/3757] lr: 1.0000e-02 eta: 20:27:06 time: 0.2297 data_time: 0.0180 memory: 6108 grad_norm: 5.4700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1713 loss: 2.1713 2022/07/22 18:18:35 - mmengine - INFO - Epoch(train) [17][1580/3757] lr: 1.0000e-02 eta: 20:27:04 time: 0.2515 data_time: 0.0188 memory: 6108 grad_norm: 5.4490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3935 loss: 2.3935 2022/07/22 18:18:40 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 1.0000e-02 eta: 20:26:58 time: 0.2288 data_time: 0.0341 memory: 6108 grad_norm: 5.4779 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/07/22 18:18:44 - mmengine - INFO - Epoch(train) [17][1620/3757] lr: 1.0000e-02 eta: 20:26:53 time: 0.2294 data_time: 0.0181 memory: 6108 grad_norm: 5.4912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9277 loss: 1.9277 2022/07/22 18:18:49 - mmengine - INFO - Epoch(train) [17][1640/3757] lr: 1.0000e-02 eta: 20:26:47 time: 0.2231 data_time: 0.0187 memory: 6108 grad_norm: 5.5688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1363 loss: 2.1363 2022/07/22 18:18:54 - mmengine - INFO - Epoch(train) [17][1660/3757] lr: 1.0000e-02 eta: 20:26:43 time: 0.2368 data_time: 0.0233 memory: 6108 grad_norm: 5.5898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1451 loss: 2.1451 2022/07/22 18:18:58 - mmengine - INFO - Epoch(train) [17][1680/3757] lr: 1.0000e-02 eta: 20:26:37 time: 0.2256 data_time: 0.0211 memory: 6108 grad_norm: 5.7892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2241 loss: 2.2241 2022/07/22 18:19:03 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 1.0000e-02 eta: 20:26:32 time: 0.2316 data_time: 0.0298 memory: 6108 grad_norm: 5.6474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1157 loss: 2.1157 2022/07/22 18:19:07 - mmengine - INFO - Epoch(train) [17][1720/3757] lr: 1.0000e-02 eta: 20:26:27 time: 0.2286 data_time: 0.0175 memory: 6108 grad_norm: 5.6600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0417 loss: 2.0417 2022/07/22 18:19:12 - mmengine - INFO - Epoch(train) [17][1740/3757] lr: 1.0000e-02 eta: 20:26:22 time: 0.2304 data_time: 0.0229 memory: 6108 grad_norm: 5.4198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0247 loss: 2.0247 2022/07/22 18:19:17 - mmengine - INFO - Epoch(train) [17][1760/3757] lr: 1.0000e-02 eta: 20:26:18 time: 0.2451 data_time: 0.0470 memory: 6108 grad_norm: 5.7199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1841 loss: 2.1841 2022/07/22 18:19:22 - mmengine - INFO - Epoch(train) [17][1780/3757] lr: 1.0000e-02 eta: 20:26:15 time: 0.2527 data_time: 0.0423 memory: 6108 grad_norm: 5.7185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2060 loss: 2.2060 2022/07/22 18:19:27 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 1.0000e-02 eta: 20:26:10 time: 0.2328 data_time: 0.0298 memory: 6108 grad_norm: 5.5487 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1989 loss: 2.1989 2022/07/22 18:19:31 - mmengine - INFO - Epoch(train) [17][1820/3757] lr: 1.0000e-02 eta: 20:26:05 time: 0.2266 data_time: 0.0246 memory: 6108 grad_norm: 5.6832 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7056 loss: 2.7056 2022/07/22 18:19:36 - mmengine - INFO - Epoch(train) [17][1840/3757] lr: 1.0000e-02 eta: 20:25:59 time: 0.2216 data_time: 0.0207 memory: 6108 grad_norm: 5.5723 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1154 loss: 2.1154 2022/07/22 18:19:41 - mmengine - INFO - Epoch(train) [17][1860/3757] lr: 1.0000e-02 eta: 20:25:55 time: 0.2454 data_time: 0.0288 memory: 6108 grad_norm: 5.5206 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9937 loss: 1.9937 2022/07/22 18:19:45 - mmengine - INFO - Epoch(train) [17][1880/3757] lr: 1.0000e-02 eta: 20:25:51 time: 0.2378 data_time: 0.0397 memory: 6108 grad_norm: 5.7366 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5230 loss: 2.5230 2022/07/22 18:19:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:19:50 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 1.0000e-02 eta: 20:25:47 time: 0.2389 data_time: 0.0412 memory: 6108 grad_norm: 5.2604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1243 loss: 2.1243 2022/07/22 18:19:55 - mmengine - INFO - Epoch(train) [17][1920/3757] lr: 1.0000e-02 eta: 20:25:42 time: 0.2291 data_time: 0.0206 memory: 6108 grad_norm: 5.5689 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2898 loss: 2.2898 2022/07/22 18:19:59 - mmengine - INFO - Epoch(train) [17][1940/3757] lr: 1.0000e-02 eta: 20:25:36 time: 0.2234 data_time: 0.0169 memory: 6108 grad_norm: 5.4173 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4119 loss: 2.4119 2022/07/22 18:20:04 - mmengine - INFO - Epoch(train) [17][1960/3757] lr: 1.0000e-02 eta: 20:25:31 time: 0.2371 data_time: 0.0268 memory: 6108 grad_norm: 5.6430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0758 loss: 2.0758 2022/07/22 18:20:09 - mmengine - INFO - Epoch(train) [17][1980/3757] lr: 1.0000e-02 eta: 20:25:27 time: 0.2346 data_time: 0.0223 memory: 6108 grad_norm: 5.5107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1715 loss: 2.1715 2022/07/22 18:20:13 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 1.0000e-02 eta: 20:25:22 time: 0.2375 data_time: 0.0289 memory: 6108 grad_norm: 5.5834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0473 loss: 2.0473 2022/07/22 18:20:18 - mmengine - INFO - Epoch(train) [17][2020/3757] lr: 1.0000e-02 eta: 20:25:18 time: 0.2336 data_time: 0.0216 memory: 6108 grad_norm: 5.5825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2073 loss: 2.2073 2022/07/22 18:20:23 - mmengine - INFO - Epoch(train) [17][2040/3757] lr: 1.0000e-02 eta: 20:25:12 time: 0.2290 data_time: 0.0209 memory: 6108 grad_norm: 5.5409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0733 loss: 2.0733 2022/07/22 18:20:27 - mmengine - INFO - Epoch(train) [17][2060/3757] lr: 1.0000e-02 eta: 20:25:07 time: 0.2252 data_time: 0.0241 memory: 6108 grad_norm: 5.4707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2028 loss: 2.2028 2022/07/22 18:20:32 - mmengine - INFO - Epoch(train) [17][2080/3757] lr: 1.0000e-02 eta: 20:25:02 time: 0.2352 data_time: 0.0239 memory: 6108 grad_norm: 5.5434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/22 18:20:36 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 1.0000e-02 eta: 20:24:56 time: 0.2244 data_time: 0.0185 memory: 6108 grad_norm: 5.5373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0151 loss: 2.0151 2022/07/22 18:20:41 - mmengine - INFO - Epoch(train) [17][2120/3757] lr: 1.0000e-02 eta: 20:24:50 time: 0.2223 data_time: 0.0189 memory: 6108 grad_norm: 5.4763 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9987 loss: 1.9987 2022/07/22 18:20:46 - mmengine - INFO - Epoch(train) [17][2140/3757] lr: 1.0000e-02 eta: 20:24:46 time: 0.2366 data_time: 0.0246 memory: 6108 grad_norm: 5.5142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1398 loss: 2.1398 2022/07/22 18:20:50 - mmengine - INFO - Epoch(train) [17][2160/3757] lr: 1.0000e-02 eta: 20:24:41 time: 0.2293 data_time: 0.0191 memory: 6108 grad_norm: 5.4567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1671 loss: 2.1671 2022/07/22 18:20:55 - mmengine - INFO - Epoch(train) [17][2180/3757] lr: 1.0000e-02 eta: 20:24:36 time: 0.2330 data_time: 0.0197 memory: 6108 grad_norm: 5.4870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0965 loss: 2.0965 2022/07/22 18:21:00 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 1.0000e-02 eta: 20:24:32 time: 0.2397 data_time: 0.0244 memory: 6108 grad_norm: 5.4294 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2005 loss: 2.2005 2022/07/22 18:21:04 - mmengine - INFO - Epoch(train) [17][2220/3757] lr: 1.0000e-02 eta: 20:24:26 time: 0.2233 data_time: 0.0177 memory: 6108 grad_norm: 5.4569 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3305 loss: 2.3305 2022/07/22 18:21:09 - mmengine - INFO - Epoch(train) [17][2240/3757] lr: 1.0000e-02 eta: 20:24:20 time: 0.2231 data_time: 0.0210 memory: 6108 grad_norm: 5.4892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0842 loss: 2.0842 2022/07/22 18:21:13 - mmengine - INFO - Epoch(train) [17][2260/3757] lr: 1.0000e-02 eta: 20:24:16 time: 0.2433 data_time: 0.0228 memory: 6108 grad_norm: 5.5212 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0432 loss: 2.0432 2022/07/22 18:21:18 - mmengine - INFO - Epoch(train) [17][2280/3757] lr: 1.0000e-02 eta: 20:24:11 time: 0.2239 data_time: 0.0247 memory: 6108 grad_norm: 5.6117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0805 loss: 2.0805 2022/07/22 18:21:22 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 1.0000e-02 eta: 20:24:04 time: 0.2200 data_time: 0.0207 memory: 6108 grad_norm: 5.5477 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1595 loss: 2.1595 2022/07/22 18:21:27 - mmengine - INFO - Epoch(train) [17][2320/3757] lr: 1.0000e-02 eta: 20:24:00 time: 0.2344 data_time: 0.0360 memory: 6108 grad_norm: 5.6782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2998 loss: 2.2998 2022/07/22 18:21:32 - mmengine - INFO - Epoch(train) [17][2340/3757] lr: 1.0000e-02 eta: 20:23:56 time: 0.2403 data_time: 0.0337 memory: 6108 grad_norm: 5.5733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2981 loss: 2.2981 2022/07/22 18:21:36 - mmengine - INFO - Epoch(train) [17][2360/3757] lr: 1.0000e-02 eta: 20:23:50 time: 0.2286 data_time: 0.0321 memory: 6108 grad_norm: 5.5821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2903 loss: 2.2903 2022/07/22 18:21:41 - mmengine - INFO - Epoch(train) [17][2380/3757] lr: 1.0000e-02 eta: 20:23:45 time: 0.2267 data_time: 0.0235 memory: 6108 grad_norm: 5.5533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9225 loss: 1.9225 2022/07/22 18:21:46 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 1.0000e-02 eta: 20:23:40 time: 0.2304 data_time: 0.0311 memory: 6108 grad_norm: 5.2453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1474 loss: 2.1474 2022/07/22 18:21:50 - mmengine - INFO - Epoch(train) [17][2420/3757] lr: 1.0000e-02 eta: 20:23:35 time: 0.2374 data_time: 0.0225 memory: 6108 grad_norm: 5.5609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2224 loss: 2.2224 2022/07/22 18:21:55 - mmengine - INFO - Epoch(train) [17][2440/3757] lr: 1.0000e-02 eta: 20:23:30 time: 0.2266 data_time: 0.0249 memory: 6108 grad_norm: 5.4812 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3343 loss: 2.3343 2022/07/22 18:22:00 - mmengine - INFO - Epoch(train) [17][2460/3757] lr: 1.0000e-02 eta: 20:23:25 time: 0.2364 data_time: 0.0349 memory: 6108 grad_norm: 5.6640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4682 loss: 2.4682 2022/07/22 18:22:04 - mmengine - INFO - Epoch(train) [17][2480/3757] lr: 1.0000e-02 eta: 20:23:22 time: 0.2430 data_time: 0.0481 memory: 6108 grad_norm: 5.4672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5051 loss: 2.5051 2022/07/22 18:22:09 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 1.0000e-02 eta: 20:23:18 time: 0.2423 data_time: 0.0464 memory: 6108 grad_norm: 5.4604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1412 loss: 2.1412 2022/07/22 18:22:14 - mmengine - INFO - Epoch(train) [17][2520/3757] lr: 1.0000e-02 eta: 20:23:12 time: 0.2237 data_time: 0.0210 memory: 6108 grad_norm: 5.5099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2788 loss: 2.2788 2022/07/22 18:22:18 - mmengine - INFO - Epoch(train) [17][2540/3757] lr: 1.0000e-02 eta: 20:23:07 time: 0.2341 data_time: 0.0187 memory: 6108 grad_norm: 5.4866 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5036 loss: 2.5036 2022/07/22 18:22:23 - mmengine - INFO - Epoch(train) [17][2560/3757] lr: 1.0000e-02 eta: 20:23:02 time: 0.2283 data_time: 0.0240 memory: 6108 grad_norm: 5.4623 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0977 loss: 2.0977 2022/07/22 18:22:27 - mmengine - INFO - Epoch(train) [17][2580/3757] lr: 1.0000e-02 eta: 20:22:56 time: 0.2211 data_time: 0.0189 memory: 6108 grad_norm: 5.6186 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.9722 loss: 1.9722 2022/07/22 18:22:32 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 1.0000e-02 eta: 20:22:53 time: 0.2498 data_time: 0.0246 memory: 6108 grad_norm: 5.4726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0866 loss: 2.0866 2022/07/22 18:22:37 - mmengine - INFO - Epoch(train) [17][2620/3757] lr: 1.0000e-02 eta: 20:22:47 time: 0.2187 data_time: 0.0190 memory: 6108 grad_norm: 5.5576 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2743 loss: 2.2743 2022/07/22 18:22:42 - mmengine - INFO - Epoch(train) [17][2640/3757] lr: 1.0000e-02 eta: 20:22:42 time: 0.2361 data_time: 0.0308 memory: 6108 grad_norm: 5.7016 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3176 loss: 2.3176 2022/07/22 18:22:46 - mmengine - INFO - Epoch(train) [17][2660/3757] lr: 1.0000e-02 eta: 20:22:37 time: 0.2329 data_time: 0.0201 memory: 6108 grad_norm: 5.4979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1493 loss: 2.1493 2022/07/22 18:22:51 - mmengine - INFO - Epoch(train) [17][2680/3757] lr: 1.0000e-02 eta: 20:22:32 time: 0.2250 data_time: 0.0233 memory: 6108 grad_norm: 5.3851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0402 loss: 2.0402 2022/07/22 18:22:55 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 1.0000e-02 eta: 20:22:26 time: 0.2240 data_time: 0.0204 memory: 6108 grad_norm: 5.7028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4723 loss: 2.4723 2022/07/22 18:23:00 - mmengine - INFO - Epoch(train) [17][2720/3757] lr: 1.0000e-02 eta: 20:22:21 time: 0.2355 data_time: 0.0217 memory: 6108 grad_norm: 5.6064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3163 loss: 2.3163 2022/07/22 18:23:05 - mmengine - INFO - Epoch(train) [17][2740/3757] lr: 1.0000e-02 eta: 20:22:17 time: 0.2427 data_time: 0.0496 memory: 6108 grad_norm: 5.4040 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1952 loss: 2.1952 2022/07/22 18:23:09 - mmengine - INFO - Epoch(train) [17][2760/3757] lr: 1.0000e-02 eta: 20:22:12 time: 0.2228 data_time: 0.0193 memory: 6108 grad_norm: 5.5681 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4419 loss: 2.4419 2022/07/22 18:23:14 - mmengine - INFO - Epoch(train) [17][2780/3757] lr: 1.0000e-02 eta: 20:22:07 time: 0.2377 data_time: 0.0181 memory: 6108 grad_norm: 5.6229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4108 loss: 2.4108 2022/07/22 18:23:19 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 1.0000e-02 eta: 20:22:02 time: 0.2295 data_time: 0.0270 memory: 6108 grad_norm: 5.4998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6302 loss: 2.6302 2022/07/22 18:23:23 - mmengine - INFO - Epoch(train) [17][2820/3757] lr: 1.0000e-02 eta: 20:21:57 time: 0.2289 data_time: 0.0253 memory: 6108 grad_norm: 5.5008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4939 loss: 2.4939 2022/07/22 18:23:28 - mmengine - INFO - Epoch(train) [17][2840/3757] lr: 1.0000e-02 eta: 20:21:52 time: 0.2347 data_time: 0.0262 memory: 6108 grad_norm: 5.6666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2811 loss: 2.2811 2022/07/22 18:23:33 - mmengine - INFO - Epoch(train) [17][2860/3757] lr: 1.0000e-02 eta: 20:21:48 time: 0.2403 data_time: 0.0220 memory: 6108 grad_norm: 5.6091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1829 loss: 2.1829 2022/07/22 18:23:37 - mmengine - INFO - Epoch(train) [17][2880/3757] lr: 1.0000e-02 eta: 20:21:43 time: 0.2294 data_time: 0.0226 memory: 6108 grad_norm: 5.5641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1537 loss: 2.1537 2022/07/22 18:23:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:23:42 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 1.0000e-02 eta: 20:21:38 time: 0.2306 data_time: 0.0236 memory: 6108 grad_norm: 5.4858 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2502 loss: 2.2502 2022/07/22 18:23:47 - mmengine - INFO - Epoch(train) [17][2920/3757] lr: 1.0000e-02 eta: 20:21:34 time: 0.2467 data_time: 0.0191 memory: 6108 grad_norm: 5.5187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0335 loss: 2.0335 2022/07/22 18:23:52 - mmengine - INFO - Epoch(train) [17][2940/3757] lr: 1.0000e-02 eta: 20:21:29 time: 0.2323 data_time: 0.0200 memory: 6108 grad_norm: 5.3501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0075 loss: 2.0075 2022/07/22 18:23:56 - mmengine - INFO - Epoch(train) [17][2960/3757] lr: 1.0000e-02 eta: 20:21:24 time: 0.2255 data_time: 0.0162 memory: 6108 grad_norm: 5.3711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3627 loss: 2.3627 2022/07/22 18:24:01 - mmengine - INFO - Epoch(train) [17][2980/3757] lr: 1.0000e-02 eta: 20:21:18 time: 0.2264 data_time: 0.0268 memory: 6108 grad_norm: 5.4262 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3241 loss: 2.3241 2022/07/22 18:24:05 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 1.0000e-02 eta: 20:21:14 time: 0.2342 data_time: 0.0191 memory: 6108 grad_norm: 5.6476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9785 loss: 1.9785 2022/07/22 18:24:10 - mmengine - INFO - Epoch(train) [17][3020/3757] lr: 1.0000e-02 eta: 20:21:08 time: 0.2263 data_time: 0.0212 memory: 6108 grad_norm: 5.5881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1847 loss: 2.1847 2022/07/22 18:24:15 - mmengine - INFO - Epoch(train) [17][3040/3757] lr: 1.0000e-02 eta: 20:21:04 time: 0.2381 data_time: 0.0186 memory: 6108 grad_norm: 5.4789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2598 loss: 2.2598 2022/07/22 18:24:19 - mmengine - INFO - Epoch(train) [17][3060/3757] lr: 1.0000e-02 eta: 20:20:59 time: 0.2302 data_time: 0.0178 memory: 6108 grad_norm: 5.4221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2307 loss: 2.2307 2022/07/22 18:24:24 - mmengine - INFO - Epoch(train) [17][3080/3757] lr: 1.0000e-02 eta: 20:20:55 time: 0.2463 data_time: 0.0175 memory: 6108 grad_norm: 5.5329 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4096 loss: 2.4096 2022/07/22 18:24:29 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 1.0000e-02 eta: 20:20:49 time: 0.2207 data_time: 0.0243 memory: 6108 grad_norm: 5.6371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9991 loss: 1.9991 2022/07/22 18:24:33 - mmengine - INFO - Epoch(train) [17][3120/3757] lr: 1.0000e-02 eta: 20:20:44 time: 0.2339 data_time: 0.0178 memory: 6108 grad_norm: 5.7233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2544 loss: 2.2544 2022/07/22 18:24:38 - mmengine - INFO - Epoch(train) [17][3140/3757] lr: 1.0000e-02 eta: 20:20:41 time: 0.2470 data_time: 0.0246 memory: 6108 grad_norm: 5.6051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2442 loss: 2.2442 2022/07/22 18:24:43 - mmengine - INFO - Epoch(train) [17][3160/3757] lr: 1.0000e-02 eta: 20:20:35 time: 0.2246 data_time: 0.0196 memory: 6108 grad_norm: 5.6241 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1823 loss: 2.1823 2022/07/22 18:24:47 - mmengine - INFO - Epoch(train) [17][3180/3757] lr: 1.0000e-02 eta: 20:20:31 time: 0.2387 data_time: 0.0242 memory: 6108 grad_norm: 5.3494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0455 loss: 2.0455 2022/07/22 18:24:53 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 1.0000e-02 eta: 20:20:28 time: 0.2514 data_time: 0.0223 memory: 6108 grad_norm: 5.5967 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3134 loss: 2.3134 2022/07/22 18:24:57 - mmengine - INFO - Epoch(train) [17][3220/3757] lr: 1.0000e-02 eta: 20:20:22 time: 0.2165 data_time: 0.0221 memory: 6108 grad_norm: 5.4607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1816 loss: 2.1816 2022/07/22 18:25:01 - mmengine - INFO - Epoch(train) [17][3240/3757] lr: 1.0000e-02 eta: 20:20:15 time: 0.2171 data_time: 0.0167 memory: 6108 grad_norm: 5.3014 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2264 loss: 2.2264 2022/07/22 18:25:06 - mmengine - INFO - Epoch(train) [17][3260/3757] lr: 1.0000e-02 eta: 20:20:10 time: 0.2274 data_time: 0.0220 memory: 6108 grad_norm: 5.7175 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3620 loss: 2.3620 2022/07/22 18:25:11 - mmengine - INFO - Epoch(train) [17][3280/3757] lr: 1.0000e-02 eta: 20:20:06 time: 0.2445 data_time: 0.0433 memory: 6108 grad_norm: 5.5076 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/07/22 18:25:15 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 1.0000e-02 eta: 20:20:02 time: 0.2379 data_time: 0.0319 memory: 6108 grad_norm: 5.7553 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3672 loss: 2.3672 2022/07/22 18:25:20 - mmengine - INFO - Epoch(train) [17][3320/3757] lr: 1.0000e-02 eta: 20:19:56 time: 0.2215 data_time: 0.0201 memory: 6108 grad_norm: 5.4136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/07/22 18:25:25 - mmengine - INFO - Epoch(train) [17][3340/3757] lr: 1.0000e-02 eta: 20:19:52 time: 0.2415 data_time: 0.0448 memory: 6108 grad_norm: 5.4692 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2693 loss: 2.2693 2022/07/22 18:25:29 - mmengine - INFO - Epoch(train) [17][3360/3757] lr: 1.0000e-02 eta: 20:19:46 time: 0.2244 data_time: 0.0210 memory: 6108 grad_norm: 5.6049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3346 loss: 2.3346 2022/07/22 18:25:34 - mmengine - INFO - Epoch(train) [17][3380/3757] lr: 1.0000e-02 eta: 20:19:43 time: 0.2464 data_time: 0.0435 memory: 6108 grad_norm: 5.4476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1605 loss: 2.1605 2022/07/22 18:25:39 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 1.0000e-02 eta: 20:19:37 time: 0.2265 data_time: 0.0170 memory: 6108 grad_norm: 5.4587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2431 loss: 2.2431 2022/07/22 18:25:43 - mmengine - INFO - Epoch(train) [17][3420/3757] lr: 1.0000e-02 eta: 20:19:32 time: 0.2251 data_time: 0.0232 memory: 6108 grad_norm: 5.4355 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9914 loss: 1.9914 2022/07/22 18:25:48 - mmengine - INFO - Epoch(train) [17][3440/3757] lr: 1.0000e-02 eta: 20:19:25 time: 0.2195 data_time: 0.0179 memory: 6108 grad_norm: 5.6153 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4035 loss: 2.4035 2022/07/22 18:25:52 - mmengine - INFO - Epoch(train) [17][3460/3757] lr: 1.0000e-02 eta: 20:19:21 time: 0.2348 data_time: 0.0227 memory: 6108 grad_norm: 5.5842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4606 loss: 2.4606 2022/07/22 18:25:57 - mmengine - INFO - Epoch(train) [17][3480/3757] lr: 1.0000e-02 eta: 20:19:16 time: 0.2379 data_time: 0.0196 memory: 6108 grad_norm: 5.5152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4295 loss: 2.4295 2022/07/22 18:26:02 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 1.0000e-02 eta: 20:19:11 time: 0.2266 data_time: 0.0181 memory: 6108 grad_norm: 5.6668 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3487 loss: 2.3487 2022/07/22 18:26:06 - mmengine - INFO - Epoch(train) [17][3520/3757] lr: 1.0000e-02 eta: 20:19:05 time: 0.2239 data_time: 0.0183 memory: 6108 grad_norm: 5.3205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9236 loss: 1.9236 2022/07/22 18:26:11 - mmengine - INFO - Epoch(train) [17][3540/3757] lr: 1.0000e-02 eta: 20:19:00 time: 0.2299 data_time: 0.0183 memory: 6108 grad_norm: 5.5759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2608 loss: 2.2608 2022/07/22 18:26:15 - mmengine - INFO - Epoch(train) [17][3560/3757] lr: 1.0000e-02 eta: 20:18:55 time: 0.2271 data_time: 0.0206 memory: 6108 grad_norm: 5.5050 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1392 loss: 2.1392 2022/07/22 18:26:20 - mmengine - INFO - Epoch(train) [17][3580/3757] lr: 1.0000e-02 eta: 20:18:49 time: 0.2268 data_time: 0.0247 memory: 6108 grad_norm: 5.4802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1189 loss: 2.1189 2022/07/22 18:26:25 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 1.0000e-02 eta: 20:18:45 time: 0.2428 data_time: 0.0332 memory: 6108 grad_norm: 5.3408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3318 loss: 2.3318 2022/07/22 18:26:29 - mmengine - INFO - Epoch(train) [17][3620/3757] lr: 1.0000e-02 eta: 20:18:41 time: 0.2352 data_time: 0.0213 memory: 6108 grad_norm: 5.5505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1553 loss: 2.1553 2022/07/22 18:26:34 - mmengine - INFO - Epoch(train) [17][3640/3757] lr: 1.0000e-02 eta: 20:18:37 time: 0.2433 data_time: 0.0176 memory: 6108 grad_norm: 5.5175 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5125 loss: 2.5125 2022/07/22 18:26:39 - mmengine - INFO - Epoch(train) [17][3660/3757] lr: 1.0000e-02 eta: 20:18:31 time: 0.2203 data_time: 0.0216 memory: 6108 grad_norm: 5.6784 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4140 loss: 2.4140 2022/07/22 18:26:43 - mmengine - INFO - Epoch(train) [17][3680/3757] lr: 1.0000e-02 eta: 20:18:26 time: 0.2336 data_time: 0.0197 memory: 6108 grad_norm: 5.5572 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2649 loss: 2.2649 2022/07/22 18:26:48 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 1.0000e-02 eta: 20:18:21 time: 0.2273 data_time: 0.0184 memory: 6108 grad_norm: 5.5133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/07/22 18:26:52 - mmengine - INFO - Epoch(train) [17][3720/3757] lr: 1.0000e-02 eta: 20:18:16 time: 0.2303 data_time: 0.0172 memory: 6108 grad_norm: 5.7109 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2081 loss: 2.2081 2022/07/22 18:26:57 - mmengine - INFO - Epoch(train) [17][3740/3757] lr: 1.0000e-02 eta: 20:18:11 time: 0.2296 data_time: 0.0176 memory: 6108 grad_norm: 5.4598 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2945 loss: 2.2945 2022/07/22 18:27:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:27:00 - mmengine - INFO - Epoch(train) [17][3757/3757] lr: 1.0000e-02 eta: 20:18:11 time: 0.2058 data_time: 0.0158 memory: 6108 grad_norm: 5.6097 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.2533 loss: 2.2533 2022/07/22 18:27:06 - mmengine - INFO - Epoch(val) [17][20/310] eta: 0:01:20 time: 0.2771 data_time: 0.1962 memory: 1428 2022/07/22 18:27:10 - mmengine - INFO - Epoch(val) [17][40/310] eta: 0:00:50 time: 0.1870 data_time: 0.1092 memory: 1428 2022/07/22 18:27:14 - mmengine - INFO - Epoch(val) [17][60/310] eta: 0:00:55 time: 0.2235 data_time: 0.1389 memory: 1428 2022/07/22 18:27:18 - mmengine - INFO - Epoch(val) [17][80/310] eta: 0:00:47 time: 0.2084 data_time: 0.1343 memory: 1428 2022/07/22 18:27:23 - mmengine - INFO - Epoch(val) [17][100/310] eta: 0:00:45 time: 0.2151 data_time: 0.1434 memory: 1428 2022/07/22 18:27:27 - mmengine - INFO - Epoch(val) [17][120/310] eta: 0:00:37 time: 0.1999 data_time: 0.1254 memory: 1428 2022/07/22 18:27:31 - mmengine - INFO - Epoch(val) [17][140/310] eta: 0:00:40 time: 0.2377 data_time: 0.1645 memory: 1428 2022/07/22 18:27:35 - mmengine - INFO - Epoch(val) [17][160/310] eta: 0:00:28 time: 0.1896 data_time: 0.1158 memory: 1428 2022/07/22 18:27:40 - mmengine - INFO - Epoch(val) [17][180/310] eta: 0:00:31 time: 0.2460 data_time: 0.1660 memory: 1428 2022/07/22 18:27:44 - mmengine - INFO - Epoch(val) [17][200/310] eta: 0:00:19 time: 0.1788 data_time: 0.1043 memory: 1428 2022/07/22 18:27:49 - mmengine - INFO - Epoch(val) [17][220/310] eta: 0:00:23 time: 0.2584 data_time: 0.1824 memory: 1428 2022/07/22 18:27:53 - mmengine - INFO - Epoch(val) [17][240/310] eta: 0:00:13 time: 0.1941 data_time: 0.1120 memory: 1428 2022/07/22 18:27:58 - mmengine - INFO - Epoch(val) [17][260/310] eta: 0:00:12 time: 0.2452 data_time: 0.1716 memory: 1428 2022/07/22 18:28:01 - mmengine - INFO - Epoch(val) [17][280/310] eta: 0:00:05 time: 0.1835 data_time: 0.1092 memory: 1428 2022/07/22 18:28:06 - mmengine - INFO - Epoch(val) [17][300/310] eta: 0:00:02 time: 0.2149 data_time: 0.1425 memory: 1428 2022/07/22 18:28:09 - mmengine - INFO - Epoch(val) [17][310/310] acc/top1: 0.5249 acc/top5: 0.7772 acc/mean1: 0.5249 2022/07/22 18:28:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/07/22 18:28:15 - mmengine - INFO - The best checkpoint with 0.5249 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/07/22 18:28:20 - mmengine - INFO - Epoch(train) [18][20/3757] lr: 1.0000e-02 eta: 20:17:45 time: 0.2632 data_time: 0.0792 memory: 6108 grad_norm: 5.5558 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9513 loss: 1.9513 2022/07/22 18:28:25 - mmengine - INFO - Epoch(train) [18][40/3757] lr: 1.0000e-02 eta: 20:17:41 time: 0.2371 data_time: 0.0258 memory: 6108 grad_norm: 5.4150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3679 loss: 2.3679 2022/07/22 18:28:29 - mmengine - INFO - Epoch(train) [18][60/3757] lr: 1.0000e-02 eta: 20:17:35 time: 0.2247 data_time: 0.0191 memory: 6108 grad_norm: 5.5534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0272 loss: 2.0272 2022/07/22 18:28:34 - mmengine - INFO - Epoch(train) [18][80/3757] lr: 1.0000e-02 eta: 20:17:29 time: 0.2222 data_time: 0.0175 memory: 6108 grad_norm: 5.4788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9616 loss: 1.9616 2022/07/22 18:28:39 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 1.0000e-02 eta: 20:17:27 time: 0.2629 data_time: 0.0438 memory: 6108 grad_norm: 5.4822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8921 loss: 1.8921 2022/07/22 18:28:44 - mmengine - INFO - Epoch(train) [18][120/3757] lr: 1.0000e-02 eta: 20:17:23 time: 0.2352 data_time: 0.0176 memory: 6108 grad_norm: 5.5785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2201 loss: 2.2201 2022/07/22 18:28:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:28:48 - mmengine - INFO - Epoch(train) [18][140/3757] lr: 1.0000e-02 eta: 20:17:18 time: 0.2284 data_time: 0.0192 memory: 6108 grad_norm: 5.6544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2359 loss: 2.2359 2022/07/22 18:28:53 - mmengine - INFO - Epoch(train) [18][160/3757] lr: 1.0000e-02 eta: 20:17:13 time: 0.2400 data_time: 0.0183 memory: 6108 grad_norm: 5.5870 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0683 loss: 2.0683 2022/07/22 18:28:58 - mmengine - INFO - Epoch(train) [18][180/3757] lr: 1.0000e-02 eta: 20:17:08 time: 0.2230 data_time: 0.0171 memory: 6108 grad_norm: 5.5151 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3567 loss: 2.3567 2022/07/22 18:29:02 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 1.0000e-02 eta: 20:17:03 time: 0.2388 data_time: 0.0240 memory: 6108 grad_norm: 5.5823 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9535 loss: 1.9535 2022/07/22 18:29:07 - mmengine - INFO - Epoch(train) [18][220/3757] lr: 1.0000e-02 eta: 20:16:59 time: 0.2398 data_time: 0.0238 memory: 6108 grad_norm: 5.5914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9169 loss: 1.9169 2022/07/22 18:29:12 - mmengine - INFO - Epoch(train) [18][240/3757] lr: 1.0000e-02 eta: 20:16:54 time: 0.2245 data_time: 0.0221 memory: 6108 grad_norm: 5.4843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3118 loss: 2.3118 2022/07/22 18:29:16 - mmengine - INFO - Epoch(train) [18][260/3757] lr: 1.0000e-02 eta: 20:16:49 time: 0.2308 data_time: 0.0204 memory: 6108 grad_norm: 5.4798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0338 loss: 2.0338 2022/07/22 18:29:21 - mmengine - INFO - Epoch(train) [18][280/3757] lr: 1.0000e-02 eta: 20:16:44 time: 0.2361 data_time: 0.0202 memory: 6108 grad_norm: 5.7464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1044 loss: 2.1044 2022/07/22 18:29:26 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 1.0000e-02 eta: 20:16:41 time: 0.2499 data_time: 0.0257 memory: 6108 grad_norm: 5.4929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2196 loss: 2.2196 2022/07/22 18:29:30 - mmengine - INFO - Epoch(train) [18][320/3757] lr: 1.0000e-02 eta: 20:16:35 time: 0.2257 data_time: 0.0233 memory: 6108 grad_norm: 5.5875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1696 loss: 2.1696 2022/07/22 18:29:35 - mmengine - INFO - Epoch(train) [18][340/3757] lr: 1.0000e-02 eta: 20:16:30 time: 0.2268 data_time: 0.0253 memory: 6108 grad_norm: 5.5103 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0038 loss: 2.0038 2022/07/22 18:29:39 - mmengine - INFO - Epoch(train) [18][360/3757] lr: 1.0000e-02 eta: 20:16:24 time: 0.2189 data_time: 0.0221 memory: 6108 grad_norm: 5.6854 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0983 loss: 2.0983 2022/07/22 18:29:45 - mmengine - INFO - Epoch(train) [18][380/3757] lr: 1.0000e-02 eta: 20:16:23 time: 0.2749 data_time: 0.0191 memory: 6108 grad_norm: 5.5822 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9885 loss: 1.9885 2022/07/22 18:29:49 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 1.0000e-02 eta: 20:16:17 time: 0.2200 data_time: 0.0209 memory: 6108 grad_norm: 5.4319 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2555 loss: 2.2555 2022/07/22 18:29:54 - mmengine - INFO - Epoch(train) [18][420/3757] lr: 1.0000e-02 eta: 20:16:13 time: 0.2374 data_time: 0.0202 memory: 6108 grad_norm: 5.4682 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3053 loss: 2.3053 2022/07/22 18:29:59 - mmengine - INFO - Epoch(train) [18][440/3757] lr: 1.0000e-02 eta: 20:16:08 time: 0.2392 data_time: 0.0194 memory: 6108 grad_norm: 5.3610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1530 loss: 2.1530 2022/07/22 18:30:03 - mmengine - INFO - Epoch(train) [18][460/3757] lr: 1.0000e-02 eta: 20:16:03 time: 0.2303 data_time: 0.0214 memory: 6108 grad_norm: 5.3042 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0566 loss: 2.0566 2022/07/22 18:30:08 - mmengine - INFO - Epoch(train) [18][480/3757] lr: 1.0000e-02 eta: 20:16:00 time: 0.2468 data_time: 0.0195 memory: 6108 grad_norm: 5.6202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3324 loss: 2.3324 2022/07/22 18:30:13 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 1.0000e-02 eta: 20:15:55 time: 0.2304 data_time: 0.0174 memory: 6108 grad_norm: 5.5002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1624 loss: 2.1624 2022/07/22 18:30:18 - mmengine - INFO - Epoch(train) [18][520/3757] lr: 1.0000e-02 eta: 20:15:50 time: 0.2369 data_time: 0.0225 memory: 6108 grad_norm: 5.6113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2934 loss: 2.2934 2022/07/22 18:30:22 - mmengine - INFO - Epoch(train) [18][540/3757] lr: 1.0000e-02 eta: 20:15:44 time: 0.2213 data_time: 0.0218 memory: 6108 grad_norm: 5.5143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9758 loss: 1.9758 2022/07/22 18:30:27 - mmengine - INFO - Epoch(train) [18][560/3757] lr: 1.0000e-02 eta: 20:15:41 time: 0.2459 data_time: 0.0191 memory: 6108 grad_norm: 5.4980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1603 loss: 2.1603 2022/07/22 18:30:32 - mmengine - INFO - Epoch(train) [18][580/3757] lr: 1.0000e-02 eta: 20:15:35 time: 0.2242 data_time: 0.0251 memory: 6108 grad_norm: 5.3928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1681 loss: 2.1681 2022/07/22 18:30:36 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 1.0000e-02 eta: 20:15:30 time: 0.2269 data_time: 0.0188 memory: 6108 grad_norm: 5.5025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3283 loss: 2.3283 2022/07/22 18:30:41 - mmengine - INFO - Epoch(train) [18][620/3757] lr: 1.0000e-02 eta: 20:15:24 time: 0.2200 data_time: 0.0189 memory: 6108 grad_norm: 5.6450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3498 loss: 2.3498 2022/07/22 18:30:46 - mmengine - INFO - Epoch(train) [18][640/3757] lr: 1.0000e-02 eta: 20:15:22 time: 0.2679 data_time: 0.0232 memory: 6108 grad_norm: 5.5540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3048 loss: 2.3048 2022/07/22 18:30:51 - mmengine - INFO - Epoch(train) [18][660/3757] lr: 1.0000e-02 eta: 20:15:17 time: 0.2280 data_time: 0.0264 memory: 6108 grad_norm: 5.4676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3575 loss: 2.3575 2022/07/22 18:30:55 - mmengine - INFO - Epoch(train) [18][680/3757] lr: 1.0000e-02 eta: 20:15:11 time: 0.2244 data_time: 0.0199 memory: 6108 grad_norm: 5.5704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1753 loss: 2.1753 2022/07/22 18:31:00 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 1.0000e-02 eta: 20:15:07 time: 0.2356 data_time: 0.0357 memory: 6108 grad_norm: 5.4572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9858 loss: 1.9858 2022/07/22 18:31:04 - mmengine - INFO - Epoch(train) [18][720/3757] lr: 1.0000e-02 eta: 20:15:02 time: 0.2337 data_time: 0.0263 memory: 6108 grad_norm: 5.5060 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4038 loss: 2.4038 2022/07/22 18:31:09 - mmengine - INFO - Epoch(train) [18][740/3757] lr: 1.0000e-02 eta: 20:14:58 time: 0.2400 data_time: 0.0421 memory: 6108 grad_norm: 5.4943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3708 loss: 2.3708 2022/07/22 18:31:14 - mmengine - INFO - Epoch(train) [18][760/3757] lr: 1.0000e-02 eta: 20:14:53 time: 0.2345 data_time: 0.0240 memory: 6108 grad_norm: 5.3849 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8040 loss: 1.8040 2022/07/22 18:31:18 - mmengine - INFO - Epoch(train) [18][780/3757] lr: 1.0000e-02 eta: 20:14:47 time: 0.2219 data_time: 0.0187 memory: 6108 grad_norm: 5.5975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8124 loss: 1.8124 2022/07/22 18:31:23 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 1.0000e-02 eta: 20:14:43 time: 0.2358 data_time: 0.0322 memory: 6108 grad_norm: 5.5557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3376 loss: 2.3376 2022/07/22 18:31:28 - mmengine - INFO - Epoch(train) [18][820/3757] lr: 1.0000e-02 eta: 20:14:37 time: 0.2224 data_time: 0.0208 memory: 6108 grad_norm: 5.5596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1228 loss: 2.1228 2022/07/22 18:31:32 - mmengine - INFO - Epoch(train) [18][840/3757] lr: 1.0000e-02 eta: 20:14:32 time: 0.2308 data_time: 0.0206 memory: 6108 grad_norm: 5.7370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2702 loss: 2.2702 2022/07/22 18:31:37 - mmengine - INFO - Epoch(train) [18][860/3757] lr: 1.0000e-02 eta: 20:14:28 time: 0.2384 data_time: 0.0237 memory: 6108 grad_norm: 5.4566 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2030 loss: 2.2030 2022/07/22 18:31:42 - mmengine - INFO - Epoch(train) [18][880/3757] lr: 1.0000e-02 eta: 20:14:22 time: 0.2299 data_time: 0.0255 memory: 6108 grad_norm: 5.3486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0478 loss: 2.0478 2022/07/22 18:31:46 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 1.0000e-02 eta: 20:14:17 time: 0.2312 data_time: 0.0227 memory: 6108 grad_norm: 5.4792 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9187 loss: 1.9187 2022/07/22 18:31:51 - mmengine - INFO - Epoch(train) [18][920/3757] lr: 1.0000e-02 eta: 20:14:12 time: 0.2297 data_time: 0.0224 memory: 6108 grad_norm: 5.4342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1073 loss: 2.1073 2022/07/22 18:31:55 - mmengine - INFO - Epoch(train) [18][940/3757] lr: 1.0000e-02 eta: 20:14:07 time: 0.2250 data_time: 0.0224 memory: 6108 grad_norm: 5.5609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5091 loss: 2.5091 2022/07/22 18:32:00 - mmengine - INFO - Epoch(train) [18][960/3757] lr: 1.0000e-02 eta: 20:14:01 time: 0.2248 data_time: 0.0217 memory: 6108 grad_norm: 5.5435 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3286 loss: 2.3286 2022/07/22 18:32:04 - mmengine - INFO - Epoch(train) [18][980/3757] lr: 1.0000e-02 eta: 20:13:56 time: 0.2319 data_time: 0.0259 memory: 6108 grad_norm: 5.6850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/07/22 18:32:09 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 1.0000e-02 eta: 20:13:51 time: 0.2291 data_time: 0.0241 memory: 6108 grad_norm: 5.3649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9903 loss: 1.9903 2022/07/22 18:32:14 - mmengine - INFO - Epoch(train) [18][1020/3757] lr: 1.0000e-02 eta: 20:13:48 time: 0.2565 data_time: 0.0220 memory: 6108 grad_norm: 5.6252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1160 loss: 2.1160 2022/07/22 18:32:19 - mmengine - INFO - Epoch(train) [18][1040/3757] lr: 1.0000e-02 eta: 20:13:42 time: 0.2197 data_time: 0.0209 memory: 6108 grad_norm: 5.6282 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3088 loss: 2.3088 2022/07/22 18:32:23 - mmengine - INFO - Epoch(train) [18][1060/3757] lr: 1.0000e-02 eta: 20:13:39 time: 0.2450 data_time: 0.0208 memory: 6108 grad_norm: 5.5717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3203 loss: 2.3203 2022/07/22 18:32:28 - mmengine - INFO - Epoch(train) [18][1080/3757] lr: 1.0000e-02 eta: 20:13:33 time: 0.2244 data_time: 0.0187 memory: 6108 grad_norm: 5.6169 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0891 loss: 2.0891 2022/07/22 18:32:32 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 1.0000e-02 eta: 20:13:27 time: 0.2241 data_time: 0.0245 memory: 6108 grad_norm: 5.5418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0304 loss: 2.0304 2022/07/22 18:32:37 - mmengine - INFO - Epoch(train) [18][1120/3757] lr: 1.0000e-02 eta: 20:13:23 time: 0.2413 data_time: 0.0215 memory: 6108 grad_norm: 5.3083 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3722 loss: 2.3722 2022/07/22 18:32:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:32:42 - mmengine - INFO - Epoch(train) [18][1140/3757] lr: 1.0000e-02 eta: 20:13:20 time: 0.2470 data_time: 0.0157 memory: 6108 grad_norm: 5.5846 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0662 loss: 2.0662 2022/07/22 18:32:47 - mmengine - INFO - Epoch(train) [18][1160/3757] lr: 1.0000e-02 eta: 20:13:14 time: 0.2245 data_time: 0.0215 memory: 6108 grad_norm: 5.7099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0394 loss: 2.0394 2022/07/22 18:32:51 - mmengine - INFO - Epoch(train) [18][1180/3757] lr: 1.0000e-02 eta: 20:13:08 time: 0.2201 data_time: 0.0212 memory: 6108 grad_norm: 5.5559 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5008 loss: 2.5008 2022/07/22 18:32:56 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 1.0000e-02 eta: 20:13:03 time: 0.2283 data_time: 0.0190 memory: 6108 grad_norm: 5.4945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9616 loss: 1.9616 2022/07/22 18:33:01 - mmengine - INFO - Epoch(train) [18][1220/3757] lr: 1.0000e-02 eta: 20:13:00 time: 0.2504 data_time: 0.0185 memory: 6108 grad_norm: 5.6191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0442 loss: 2.0442 2022/07/22 18:33:05 - mmengine - INFO - Epoch(train) [18][1240/3757] lr: 1.0000e-02 eta: 20:12:55 time: 0.2279 data_time: 0.0232 memory: 6108 grad_norm: 5.6386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3453 loss: 2.3453 2022/07/22 18:33:10 - mmengine - INFO - Epoch(train) [18][1260/3757] lr: 1.0000e-02 eta: 20:12:50 time: 0.2312 data_time: 0.0214 memory: 6108 grad_norm: 5.6410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0643 loss: 2.0643 2022/07/22 18:33:15 - mmengine - INFO - Epoch(train) [18][1280/3757] lr: 1.0000e-02 eta: 20:12:46 time: 0.2415 data_time: 0.0195 memory: 6108 grad_norm: 5.5048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3189 loss: 2.3189 2022/07/22 18:33:19 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 1.0000e-02 eta: 20:12:40 time: 0.2249 data_time: 0.0212 memory: 6108 grad_norm: 5.5044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2484 loss: 2.2484 2022/07/22 18:33:24 - mmengine - INFO - Epoch(train) [18][1320/3757] lr: 1.0000e-02 eta: 20:12:35 time: 0.2357 data_time: 0.0199 memory: 6108 grad_norm: 5.5894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0039 loss: 2.0039 2022/07/22 18:33:29 - mmengine - INFO - Epoch(train) [18][1340/3757] lr: 1.0000e-02 eta: 20:12:30 time: 0.2302 data_time: 0.0194 memory: 6108 grad_norm: 5.5321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2778 loss: 2.2778 2022/07/22 18:33:34 - mmengine - INFO - Epoch(train) [18][1360/3757] lr: 1.0000e-02 eta: 20:12:27 time: 0.2499 data_time: 0.0182 memory: 6108 grad_norm: 5.5546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0145 loss: 2.0145 2022/07/22 18:33:38 - mmengine - INFO - Epoch(train) [18][1380/3757] lr: 1.0000e-02 eta: 20:12:22 time: 0.2259 data_time: 0.0220 memory: 6108 grad_norm: 5.6766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0802 loss: 2.0802 2022/07/22 18:33:43 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 1.0000e-02 eta: 20:12:16 time: 0.2215 data_time: 0.0172 memory: 6108 grad_norm: 5.4313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1010 loss: 2.1010 2022/07/22 18:33:47 - mmengine - INFO - Epoch(train) [18][1420/3757] lr: 1.0000e-02 eta: 20:12:11 time: 0.2320 data_time: 0.0287 memory: 6108 grad_norm: 5.5927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3585 loss: 2.3585 2022/07/22 18:33:52 - mmengine - INFO - Epoch(train) [18][1440/3757] lr: 1.0000e-02 eta: 20:12:08 time: 0.2556 data_time: 0.0167 memory: 6108 grad_norm: 5.6785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3168 loss: 2.3168 2022/07/22 18:33:57 - mmengine - INFO - Epoch(train) [18][1460/3757] lr: 1.0000e-02 eta: 20:12:03 time: 0.2277 data_time: 0.0275 memory: 6108 grad_norm: 5.4753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/07/22 18:34:01 - mmengine - INFO - Epoch(train) [18][1480/3757] lr: 1.0000e-02 eta: 20:11:57 time: 0.2215 data_time: 0.0230 memory: 6108 grad_norm: 5.6016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4838 loss: 2.4838 2022/07/22 18:34:06 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 1.0000e-02 eta: 20:11:53 time: 0.2440 data_time: 0.0247 memory: 6108 grad_norm: 5.5473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0773 loss: 2.0773 2022/07/22 18:34:11 - mmengine - INFO - Epoch(train) [18][1520/3757] lr: 1.0000e-02 eta: 20:11:47 time: 0.2199 data_time: 0.0193 memory: 6108 grad_norm: 5.6073 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4133 loss: 2.4133 2022/07/22 18:34:15 - mmengine - INFO - Epoch(train) [18][1540/3757] lr: 1.0000e-02 eta: 20:11:42 time: 0.2287 data_time: 0.0217 memory: 6108 grad_norm: 5.5458 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1162 loss: 2.1162 2022/07/22 18:34:20 - mmengine - INFO - Epoch(train) [18][1560/3757] lr: 1.0000e-02 eta: 20:11:39 time: 0.2528 data_time: 0.0177 memory: 6108 grad_norm: 5.5494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1239 loss: 2.1239 2022/07/22 18:34:25 - mmengine - INFO - Epoch(train) [18][1580/3757] lr: 1.0000e-02 eta: 20:11:33 time: 0.2195 data_time: 0.0177 memory: 6108 grad_norm: 5.4853 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1933 loss: 2.1933 2022/07/22 18:34:29 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 1.0000e-02 eta: 20:11:27 time: 0.2239 data_time: 0.0205 memory: 6108 grad_norm: 5.4957 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0544 loss: 2.0544 2022/07/22 18:34:34 - mmengine - INFO - Epoch(train) [18][1620/3757] lr: 1.0000e-02 eta: 20:11:22 time: 0.2327 data_time: 0.0246 memory: 6108 grad_norm: 5.3623 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1733 loss: 2.1733 2022/07/22 18:34:39 - mmengine - INFO - Epoch(train) [18][1640/3757] lr: 1.0000e-02 eta: 20:11:19 time: 0.2439 data_time: 0.0200 memory: 6108 grad_norm: 5.4224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8072 loss: 1.8072 2022/07/22 18:34:43 - mmengine - INFO - Epoch(train) [18][1660/3757] lr: 1.0000e-02 eta: 20:11:13 time: 0.2278 data_time: 0.0184 memory: 6108 grad_norm: 5.5535 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6277 loss: 2.6277 2022/07/22 18:34:48 - mmengine - INFO - Epoch(train) [18][1680/3757] lr: 1.0000e-02 eta: 20:11:08 time: 0.2256 data_time: 0.0219 memory: 6108 grad_norm: 5.4831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0313 loss: 2.0313 2022/07/22 18:34:53 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 1.0000e-02 eta: 20:11:05 time: 0.2529 data_time: 0.0187 memory: 6108 grad_norm: 5.4313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0442 loss: 2.0442 2022/07/22 18:34:58 - mmengine - INFO - Epoch(train) [18][1720/3757] lr: 1.0000e-02 eta: 20:11:00 time: 0.2362 data_time: 0.0216 memory: 6108 grad_norm: 5.3695 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/07/22 18:35:02 - mmengine - INFO - Epoch(train) [18][1740/3757] lr: 1.0000e-02 eta: 20:10:55 time: 0.2255 data_time: 0.0183 memory: 6108 grad_norm: 5.6030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9823 loss: 1.9823 2022/07/22 18:35:07 - mmengine - INFO - Epoch(train) [18][1760/3757] lr: 1.0000e-02 eta: 20:10:49 time: 0.2260 data_time: 0.0217 memory: 6108 grad_norm: 5.7065 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1382 loss: 2.1382 2022/07/22 18:35:11 - mmengine - INFO - Epoch(train) [18][1780/3757] lr: 1.0000e-02 eta: 20:10:44 time: 0.2235 data_time: 0.0193 memory: 6108 grad_norm: 5.4970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9758 loss: 1.9758 2022/07/22 18:35:16 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 1.0000e-02 eta: 20:10:39 time: 0.2390 data_time: 0.0191 memory: 6108 grad_norm: 5.4650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3650 loss: 2.3650 2022/07/22 18:35:21 - mmengine - INFO - Epoch(train) [18][1820/3757] lr: 1.0000e-02 eta: 20:10:35 time: 0.2410 data_time: 0.0167 memory: 6108 grad_norm: 5.5527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4172 loss: 2.4172 2022/07/22 18:35:25 - mmengine - INFO - Epoch(train) [18][1840/3757] lr: 1.0000e-02 eta: 20:10:30 time: 0.2271 data_time: 0.0222 memory: 6108 grad_norm: 5.3837 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2139 loss: 2.2139 2022/07/22 18:35:30 - mmengine - INFO - Epoch(train) [18][1860/3757] lr: 1.0000e-02 eta: 20:10:24 time: 0.2205 data_time: 0.0201 memory: 6108 grad_norm: 5.6003 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3611 loss: 2.3611 2022/07/22 18:35:34 - mmengine - INFO - Epoch(train) [18][1880/3757] lr: 1.0000e-02 eta: 20:10:19 time: 0.2358 data_time: 0.0180 memory: 6108 grad_norm: 5.4709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0038 loss: 2.0038 2022/07/22 18:35:39 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 1.0000e-02 eta: 20:10:14 time: 0.2277 data_time: 0.0217 memory: 6108 grad_norm: 5.6238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3371 loss: 2.3371 2022/07/22 18:35:44 - mmengine - INFO - Epoch(train) [18][1920/3757] lr: 1.0000e-02 eta: 20:10:10 time: 0.2399 data_time: 0.0183 memory: 6108 grad_norm: 5.6847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3437 loss: 2.3437 2022/07/22 18:35:49 - mmengine - INFO - Epoch(train) [18][1940/3757] lr: 1.0000e-02 eta: 20:10:07 time: 0.2492 data_time: 0.0202 memory: 6108 grad_norm: 5.5078 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5251 loss: 2.5251 2022/07/22 18:35:53 - mmengine - INFO - Epoch(train) [18][1960/3757] lr: 1.0000e-02 eta: 20:10:01 time: 0.2276 data_time: 0.0244 memory: 6108 grad_norm: 5.4875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9114 loss: 1.9114 2022/07/22 18:35:58 - mmengine - INFO - Epoch(train) [18][1980/3757] lr: 1.0000e-02 eta: 20:09:55 time: 0.2210 data_time: 0.0205 memory: 6108 grad_norm: 5.5274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3893 loss: 2.3893 2022/07/22 18:36:02 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 1.0000e-02 eta: 20:09:50 time: 0.2227 data_time: 0.0271 memory: 6108 grad_norm: 5.6493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2062 loss: 2.2062 2022/07/22 18:36:07 - mmengine - INFO - Epoch(train) [18][2020/3757] lr: 1.0000e-02 eta: 20:09:45 time: 0.2336 data_time: 0.0194 memory: 6108 grad_norm: 5.5555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3285 loss: 2.3285 2022/07/22 18:36:11 - mmengine - INFO - Epoch(train) [18][2040/3757] lr: 1.0000e-02 eta: 20:09:39 time: 0.2218 data_time: 0.0293 memory: 6108 grad_norm: 5.8137 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3887 loss: 2.3887 2022/07/22 18:36:16 - mmengine - INFO - Epoch(train) [18][2060/3757] lr: 1.0000e-02 eta: 20:09:34 time: 0.2299 data_time: 0.0205 memory: 6108 grad_norm: 5.5140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1436 loss: 2.1436 2022/07/22 18:36:21 - mmengine - INFO - Epoch(train) [18][2080/3757] lr: 1.0000e-02 eta: 20:09:31 time: 0.2578 data_time: 0.0231 memory: 6108 grad_norm: 5.3998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2981 loss: 2.2981 2022/07/22 18:36:26 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 1.0000e-02 eta: 20:09:27 time: 0.2389 data_time: 0.0180 memory: 6108 grad_norm: 5.5762 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5750 loss: 2.5750 2022/07/22 18:36:31 - mmengine - INFO - Epoch(train) [18][2120/3757] lr: 1.0000e-02 eta: 20:09:22 time: 0.2308 data_time: 0.0249 memory: 6108 grad_norm: 5.6300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5154 loss: 2.5154 2022/07/22 18:36:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:36:35 - mmengine - INFO - Epoch(train) [18][2140/3757] lr: 1.0000e-02 eta: 20:09:17 time: 0.2302 data_time: 0.0204 memory: 6108 grad_norm: 5.4873 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4111 loss: 2.4111 2022/07/22 18:36:40 - mmengine - INFO - Epoch(train) [18][2160/3757] lr: 1.0000e-02 eta: 20:09:12 time: 0.2297 data_time: 0.0222 memory: 6108 grad_norm: 5.5586 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2891 loss: 2.2891 2022/07/22 18:36:44 - mmengine - INFO - Epoch(train) [18][2180/3757] lr: 1.0000e-02 eta: 20:09:07 time: 0.2286 data_time: 0.0165 memory: 6108 grad_norm: 5.4490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2236 loss: 2.2236 2022/07/22 18:36:49 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 1.0000e-02 eta: 20:09:01 time: 0.2232 data_time: 0.0227 memory: 6108 grad_norm: 5.7793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1718 loss: 2.1718 2022/07/22 18:36:54 - mmengine - INFO - Epoch(train) [18][2220/3757] lr: 1.0000e-02 eta: 20:08:57 time: 0.2398 data_time: 0.0209 memory: 6108 grad_norm: 5.6417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1166 loss: 2.1166 2022/07/22 18:36:58 - mmengine - INFO - Epoch(train) [18][2240/3757] lr: 1.0000e-02 eta: 20:08:53 time: 0.2440 data_time: 0.0193 memory: 6108 grad_norm: 5.5512 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1261 loss: 2.1261 2022/07/22 18:37:03 - mmengine - INFO - Epoch(train) [18][2260/3757] lr: 1.0000e-02 eta: 20:08:47 time: 0.2214 data_time: 0.0240 memory: 6108 grad_norm: 5.6292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4166 loss: 2.4166 2022/07/22 18:37:08 - mmengine - INFO - Epoch(train) [18][2280/3757] lr: 1.0000e-02 eta: 20:08:43 time: 0.2420 data_time: 0.0196 memory: 6108 grad_norm: 5.4514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1717 loss: 2.1717 2022/07/22 18:37:12 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 1.0000e-02 eta: 20:08:38 time: 0.2314 data_time: 0.0168 memory: 6108 grad_norm: 5.5900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2198 loss: 2.2198 2022/07/22 18:37:17 - mmengine - INFO - Epoch(train) [18][2320/3757] lr: 1.0000e-02 eta: 20:08:33 time: 0.2233 data_time: 0.0235 memory: 6108 grad_norm: 5.6283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0037 loss: 2.0037 2022/07/22 18:37:22 - mmengine - INFO - Epoch(train) [18][2340/3757] lr: 1.0000e-02 eta: 20:08:29 time: 0.2484 data_time: 0.0210 memory: 6108 grad_norm: 5.6481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9792 loss: 1.9792 2022/07/22 18:37:26 - mmengine - INFO - Epoch(train) [18][2360/3757] lr: 1.0000e-02 eta: 20:08:23 time: 0.2214 data_time: 0.0188 memory: 6108 grad_norm: 5.5220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9779 loss: 1.9779 2022/07/22 18:37:31 - mmengine - INFO - Epoch(train) [18][2380/3757] lr: 1.0000e-02 eta: 20:08:19 time: 0.2343 data_time: 0.0214 memory: 6108 grad_norm: 5.6332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3303 loss: 2.3303 2022/07/22 18:37:36 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 1.0000e-02 eta: 20:08:16 time: 0.2503 data_time: 0.0203 memory: 6108 grad_norm: 5.4836 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9444 loss: 1.9444 2022/07/22 18:37:41 - mmengine - INFO - Epoch(train) [18][2420/3757] lr: 1.0000e-02 eta: 20:08:10 time: 0.2261 data_time: 0.0165 memory: 6108 grad_norm: 5.5118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1945 loss: 2.1945 2022/07/22 18:37:46 - mmengine - INFO - Epoch(train) [18][2440/3757] lr: 1.0000e-02 eta: 20:08:07 time: 0.2508 data_time: 0.0223 memory: 6108 grad_norm: 5.4917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3274 loss: 2.3274 2022/07/22 18:37:50 - mmengine - INFO - Epoch(train) [18][2460/3757] lr: 1.0000e-02 eta: 20:08:01 time: 0.2240 data_time: 0.0237 memory: 6108 grad_norm: 5.5884 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2422 loss: 2.2422 2022/07/22 18:37:55 - mmengine - INFO - Epoch(train) [18][2480/3757] lr: 1.0000e-02 eta: 20:07:57 time: 0.2339 data_time: 0.0236 memory: 6108 grad_norm: 5.5326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0820 loss: 2.0820 2022/07/22 18:38:00 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 1.0000e-02 eta: 20:07:53 time: 0.2422 data_time: 0.0218 memory: 6108 grad_norm: 5.4537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0772 loss: 2.0772 2022/07/22 18:38:04 - mmengine - INFO - Epoch(train) [18][2520/3757] lr: 1.0000e-02 eta: 20:07:47 time: 0.2246 data_time: 0.0209 memory: 6108 grad_norm: 5.6144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3112 loss: 2.3112 2022/07/22 18:38:09 - mmengine - INFO - Epoch(train) [18][2540/3757] lr: 1.0000e-02 eta: 20:07:41 time: 0.2253 data_time: 0.0252 memory: 6108 grad_norm: 5.5007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2269 loss: 2.2269 2022/07/22 18:38:13 - mmengine - INFO - Epoch(train) [18][2560/3757] lr: 1.0000e-02 eta: 20:07:38 time: 0.2456 data_time: 0.0204 memory: 6108 grad_norm: 5.5086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2123 loss: 2.2123 2022/07/22 18:38:18 - mmengine - INFO - Epoch(train) [18][2580/3757] lr: 1.0000e-02 eta: 20:07:32 time: 0.2206 data_time: 0.0208 memory: 6108 grad_norm: 5.5105 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2756 loss: 2.2756 2022/07/22 18:38:22 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 1.0000e-02 eta: 20:07:27 time: 0.2268 data_time: 0.0203 memory: 6108 grad_norm: 5.4614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1879 loss: 2.1879 2022/07/22 18:38:28 - mmengine - INFO - Epoch(train) [18][2620/3757] lr: 1.0000e-02 eta: 20:07:24 time: 0.2540 data_time: 0.0257 memory: 6108 grad_norm: 5.7045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4442 loss: 2.4442 2022/07/22 18:38:32 - mmengine - INFO - Epoch(train) [18][2640/3757] lr: 1.0000e-02 eta: 20:07:19 time: 0.2325 data_time: 0.0234 memory: 6108 grad_norm: 5.6127 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2706 loss: 2.2706 2022/07/22 18:38:37 - mmengine - INFO - Epoch(train) [18][2660/3757] lr: 1.0000e-02 eta: 20:07:14 time: 0.2365 data_time: 0.0174 memory: 6108 grad_norm: 5.4497 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3156 loss: 2.3156 2022/07/22 18:38:42 - mmengine - INFO - Epoch(train) [18][2680/3757] lr: 1.0000e-02 eta: 20:07:12 time: 0.2586 data_time: 0.0268 memory: 6108 grad_norm: 5.5554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2075 loss: 2.2075 2022/07/22 18:38:47 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 1.0000e-02 eta: 20:07:06 time: 0.2256 data_time: 0.0195 memory: 6108 grad_norm: 5.5084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2077 loss: 2.2077 2022/07/22 18:38:51 - mmengine - INFO - Epoch(train) [18][2720/3757] lr: 1.0000e-02 eta: 20:07:01 time: 0.2242 data_time: 0.0259 memory: 6108 grad_norm: 5.5854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1126 loss: 2.1126 2022/07/22 18:38:56 - mmengine - INFO - Epoch(train) [18][2740/3757] lr: 1.0000e-02 eta: 20:06:55 time: 0.2274 data_time: 0.0219 memory: 6108 grad_norm: 5.4540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3631 loss: 2.3631 2022/07/22 18:39:00 - mmengine - INFO - Epoch(train) [18][2760/3757] lr: 1.0000e-02 eta: 20:06:50 time: 0.2240 data_time: 0.0229 memory: 6108 grad_norm: 5.3726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2292 loss: 2.2292 2022/07/22 18:39:05 - mmengine - INFO - Epoch(train) [18][2780/3757] lr: 1.0000e-02 eta: 20:06:44 time: 0.2268 data_time: 0.0211 memory: 6108 grad_norm: 5.4389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5963 loss: 2.5963 2022/07/22 18:39:09 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 1.0000e-02 eta: 20:06:39 time: 0.2244 data_time: 0.0245 memory: 6108 grad_norm: 5.4939 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5466 loss: 2.5466 2022/07/22 18:39:14 - mmengine - INFO - Epoch(train) [18][2820/3757] lr: 1.0000e-02 eta: 20:06:36 time: 0.2579 data_time: 0.0228 memory: 6108 grad_norm: 5.5128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2447 loss: 2.2447 2022/07/22 18:39:20 - mmengine - INFO - Epoch(train) [18][2840/3757] lr: 1.0000e-02 eta: 20:06:35 time: 0.2728 data_time: 0.0194 memory: 6108 grad_norm: 5.5906 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0504 loss: 2.0504 2022/07/22 18:39:24 - mmengine - INFO - Epoch(train) [18][2860/3757] lr: 1.0000e-02 eta: 20:06:29 time: 0.2227 data_time: 0.0250 memory: 6108 grad_norm: 5.6334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4724 loss: 2.4724 2022/07/22 18:39:29 - mmengine - INFO - Epoch(train) [18][2880/3757] lr: 1.0000e-02 eta: 20:06:26 time: 0.2500 data_time: 0.0168 memory: 6108 grad_norm: 5.6004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1431 loss: 2.1431 2022/07/22 18:39:34 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 1.0000e-02 eta: 20:06:22 time: 0.2381 data_time: 0.0172 memory: 6108 grad_norm: 5.5685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1840 loss: 2.1840 2022/07/22 18:39:39 - mmengine - INFO - Epoch(train) [18][2920/3757] lr: 1.0000e-02 eta: 20:06:16 time: 0.2225 data_time: 0.0211 memory: 6108 grad_norm: 5.4217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1026 loss: 2.1026 2022/07/22 18:39:44 - mmengine - INFO - Epoch(train) [18][2940/3757] lr: 1.0000e-02 eta: 20:06:14 time: 0.2574 data_time: 0.0200 memory: 6108 grad_norm: 5.4328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3161 loss: 2.3161 2022/07/22 18:39:48 - mmengine - INFO - Epoch(train) [18][2960/3757] lr: 1.0000e-02 eta: 20:06:08 time: 0.2221 data_time: 0.0221 memory: 6108 grad_norm: 5.5235 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3309 loss: 2.3309 2022/07/22 18:39:53 - mmengine - INFO - Epoch(train) [18][2980/3757] lr: 1.0000e-02 eta: 20:06:02 time: 0.2226 data_time: 0.0227 memory: 6108 grad_norm: 5.3674 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1790 loss: 2.1790 2022/07/22 18:39:58 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 1.0000e-02 eta: 20:05:58 time: 0.2460 data_time: 0.0247 memory: 6108 grad_norm: 5.5044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1862 loss: 2.1862 2022/07/22 18:40:02 - mmengine - INFO - Epoch(train) [18][3020/3757] lr: 1.0000e-02 eta: 20:05:53 time: 0.2269 data_time: 0.0252 memory: 6108 grad_norm: 5.5400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4605 loss: 2.4605 2022/07/22 18:40:07 - mmengine - INFO - Epoch(train) [18][3040/3757] lr: 1.0000e-02 eta: 20:05:48 time: 0.2343 data_time: 0.0227 memory: 6108 grad_norm: 5.4986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4634 loss: 2.4634 2022/07/22 18:40:11 - mmengine - INFO - Epoch(train) [18][3060/3757] lr: 1.0000e-02 eta: 20:05:44 time: 0.2347 data_time: 0.0267 memory: 6108 grad_norm: 5.4467 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2466 loss: 2.2466 2022/07/22 18:40:16 - mmengine - INFO - Epoch(train) [18][3080/3757] lr: 1.0000e-02 eta: 20:05:40 time: 0.2410 data_time: 0.0194 memory: 6108 grad_norm: 5.4144 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1857 loss: 2.1857 2022/07/22 18:40:21 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 1.0000e-02 eta: 20:05:34 time: 0.2226 data_time: 0.0271 memory: 6108 grad_norm: 5.4795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3184 loss: 2.3184 2022/07/22 18:40:25 - mmengine - INFO - Epoch(train) [18][3120/3757] lr: 1.0000e-02 eta: 20:05:28 time: 0.2270 data_time: 0.0230 memory: 6108 grad_norm: 5.5893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2773 loss: 2.2773 2022/07/22 18:40:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:40:30 - mmengine - INFO - Epoch(train) [18][3140/3757] lr: 1.0000e-02 eta: 20:05:23 time: 0.2232 data_time: 0.0218 memory: 6108 grad_norm: 5.4646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9456 loss: 1.9456 2022/07/22 18:40:35 - mmengine - INFO - Epoch(train) [18][3160/3757] lr: 1.0000e-02 eta: 20:05:20 time: 0.2505 data_time: 0.0230 memory: 6108 grad_norm: 5.5612 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0015 loss: 2.0015 2022/07/22 18:40:39 - mmengine - INFO - Epoch(train) [18][3180/3757] lr: 1.0000e-02 eta: 20:05:15 time: 0.2335 data_time: 0.0234 memory: 6108 grad_norm: 5.5716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0907 loss: 2.0907 2022/07/22 18:40:45 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 1.0000e-02 eta: 20:05:12 time: 0.2513 data_time: 0.0234 memory: 6108 grad_norm: 5.3836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3109 loss: 2.3109 2022/07/22 18:40:49 - mmengine - INFO - Epoch(train) [18][3220/3757] lr: 1.0000e-02 eta: 20:05:06 time: 0.2249 data_time: 0.0258 memory: 6108 grad_norm: 5.6987 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4233 loss: 2.4233 2022/07/22 18:40:54 - mmengine - INFO - Epoch(train) [18][3240/3757] lr: 1.0000e-02 eta: 20:05:01 time: 0.2265 data_time: 0.0285 memory: 6108 grad_norm: 5.5509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2939 loss: 2.2939 2022/07/22 18:40:58 - mmengine - INFO - Epoch(train) [18][3260/3757] lr: 1.0000e-02 eta: 20:04:55 time: 0.2245 data_time: 0.0175 memory: 6108 grad_norm: 5.6058 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9124 loss: 1.9124 2022/07/22 18:41:02 - mmengine - INFO - Epoch(train) [18][3280/3757] lr: 1.0000e-02 eta: 20:04:49 time: 0.2224 data_time: 0.0219 memory: 6108 grad_norm: 5.6272 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2766 loss: 2.2766 2022/07/22 18:41:08 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 1.0000e-02 eta: 20:04:47 time: 0.2601 data_time: 0.0221 memory: 6108 grad_norm: 5.5821 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1749 loss: 2.1749 2022/07/22 18:41:12 - mmengine - INFO - Epoch(train) [18][3320/3757] lr: 1.0000e-02 eta: 20:04:43 time: 0.2384 data_time: 0.0210 memory: 6108 grad_norm: 5.5593 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1962 loss: 2.1962 2022/07/22 18:41:17 - mmengine - INFO - Epoch(train) [18][3340/3757] lr: 1.0000e-02 eta: 20:04:37 time: 0.2253 data_time: 0.0250 memory: 6108 grad_norm: 5.5600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1331 loss: 2.1331 2022/07/22 18:41:22 - mmengine - INFO - Epoch(train) [18][3360/3757] lr: 1.0000e-02 eta: 20:04:32 time: 0.2267 data_time: 0.0207 memory: 6108 grad_norm: 5.6309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1283 loss: 2.1283 2022/07/22 18:41:26 - mmengine - INFO - Epoch(train) [18][3380/3757] lr: 1.0000e-02 eta: 20:04:27 time: 0.2352 data_time: 0.0278 memory: 6108 grad_norm: 5.5498 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/07/22 18:41:31 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 1.0000e-02 eta: 20:04:22 time: 0.2267 data_time: 0.0246 memory: 6108 grad_norm: 5.7018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2484 loss: 2.2484 2022/07/22 18:41:35 - mmengine - INFO - Epoch(train) [18][3420/3757] lr: 1.0000e-02 eta: 20:04:17 time: 0.2339 data_time: 0.0207 memory: 6108 grad_norm: 5.6475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5944 loss: 2.5944 2022/07/22 18:41:40 - mmengine - INFO - Epoch(train) [18][3440/3757] lr: 1.0000e-02 eta: 20:04:14 time: 0.2457 data_time: 0.0195 memory: 6108 grad_norm: 5.4611 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0096 loss: 2.0096 2022/07/22 18:41:45 - mmengine - INFO - Epoch(train) [18][3460/3757] lr: 1.0000e-02 eta: 20:04:08 time: 0.2287 data_time: 0.0227 memory: 6108 grad_norm: 5.6378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3708 loss: 2.3708 2022/07/22 18:41:50 - mmengine - INFO - Epoch(train) [18][3480/3757] lr: 1.0000e-02 eta: 20:04:04 time: 0.2362 data_time: 0.0228 memory: 6108 grad_norm: 5.4777 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1083 loss: 2.1083 2022/07/22 18:41:54 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 1.0000e-02 eta: 20:03:59 time: 0.2328 data_time: 0.0154 memory: 6108 grad_norm: 5.5310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0419 loss: 2.0419 2022/07/22 18:41:59 - mmengine - INFO - Epoch(train) [18][3520/3757] lr: 1.0000e-02 eta: 20:03:55 time: 0.2374 data_time: 0.0221 memory: 6108 grad_norm: 5.5317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9601 loss: 1.9601 2022/07/22 18:42:04 - mmengine - INFO - Epoch(train) [18][3540/3757] lr: 1.0000e-02 eta: 20:03:49 time: 0.2247 data_time: 0.0240 memory: 6108 grad_norm: 5.5405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1982 loss: 2.1982 2022/07/22 18:42:09 - mmengine - INFO - Epoch(train) [18][3560/3757] lr: 1.0000e-02 eta: 20:03:45 time: 0.2445 data_time: 0.0257 memory: 6108 grad_norm: 5.4214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1432 loss: 2.1432 2022/07/22 18:42:13 - mmengine - INFO - Epoch(train) [18][3580/3757] lr: 1.0000e-02 eta: 20:03:40 time: 0.2245 data_time: 0.0248 memory: 6108 grad_norm: 5.5702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3142 loss: 2.3142 2022/07/22 18:42:17 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 1.0000e-02 eta: 20:03:34 time: 0.2201 data_time: 0.0198 memory: 6108 grad_norm: 5.4504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0087 loss: 2.0087 2022/07/22 18:42:22 - mmengine - INFO - Epoch(train) [18][3620/3757] lr: 1.0000e-02 eta: 20:03:28 time: 0.2214 data_time: 0.0207 memory: 6108 grad_norm: 5.4769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0520 loss: 2.0520 2022/07/22 18:42:26 - mmengine - INFO - Epoch(train) [18][3640/3757] lr: 1.0000e-02 eta: 20:03:23 time: 0.2305 data_time: 0.0225 memory: 6108 grad_norm: 5.4602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5247 loss: 2.5247 2022/07/22 18:42:31 - mmengine - INFO - Epoch(train) [18][3660/3757] lr: 1.0000e-02 eta: 20:03:19 time: 0.2406 data_time: 0.0229 memory: 6108 grad_norm: 5.4591 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1331 loss: 2.1331 2022/07/22 18:42:36 - mmengine - INFO - Epoch(train) [18][3680/3757] lr: 1.0000e-02 eta: 20:03:14 time: 0.2381 data_time: 0.0232 memory: 6108 grad_norm: 5.6619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0823 loss: 2.0823 2022/07/22 18:42:41 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 1.0000e-02 eta: 20:03:09 time: 0.2287 data_time: 0.0247 memory: 6108 grad_norm: 5.7453 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2036 loss: 2.2036 2022/07/22 18:42:45 - mmengine - INFO - Epoch(train) [18][3720/3757] lr: 1.0000e-02 eta: 20:03:04 time: 0.2319 data_time: 0.0233 memory: 6108 grad_norm: 5.7099 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3303 loss: 2.3303 2022/07/22 18:42:50 - mmengine - INFO - Epoch(train) [18][3740/3757] lr: 1.0000e-02 eta: 20:03:01 time: 0.2449 data_time: 0.0229 memory: 6108 grad_norm: 5.6212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9397 loss: 1.9397 2022/07/22 18:42:54 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:42:54 - mmengine - INFO - Epoch(train) [18][3757/3757] lr: 1.0000e-02 eta: 20:03:01 time: 0.1990 data_time: 0.0172 memory: 6108 grad_norm: 5.7285 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.1222 loss: 2.1222 2022/07/22 18:42:59 - mmengine - INFO - Epoch(val) [18][20/310] eta: 0:01:16 time: 0.2640 data_time: 0.1885 memory: 1428 2022/07/22 18:43:03 - mmengine - INFO - Epoch(val) [18][40/310] eta: 0:00:51 time: 0.1894 data_time: 0.1134 memory: 1428 2022/07/22 18:43:07 - mmengine - INFO - Epoch(val) [18][60/310] eta: 0:00:54 time: 0.2174 data_time: 0.1423 memory: 1428 2022/07/22 18:43:11 - mmengine - INFO - Epoch(val) [18][80/310] eta: 0:00:42 time: 0.1865 data_time: 0.1112 memory: 1428 2022/07/22 18:43:15 - mmengine - INFO - Epoch(val) [18][100/310] eta: 0:00:46 time: 0.2201 data_time: 0.1389 memory: 1428 2022/07/22 18:43:19 - mmengine - INFO - Epoch(val) [18][120/310] eta: 0:00:37 time: 0.1989 data_time: 0.1226 memory: 1428 2022/07/22 18:43:24 - mmengine - INFO - Epoch(val) [18][140/310] eta: 0:00:40 time: 0.2354 data_time: 0.1567 memory: 1428 2022/07/22 18:43:28 - mmengine - INFO - Epoch(val) [18][160/310] eta: 0:00:31 time: 0.2123 data_time: 0.1334 memory: 1428 2022/07/22 18:43:32 - mmengine - INFO - Epoch(val) [18][180/310] eta: 0:00:27 time: 0.2108 data_time: 0.1364 memory: 1428 2022/07/22 18:43:36 - mmengine - INFO - Epoch(val) [18][200/310] eta: 0:00:20 time: 0.1877 data_time: 0.1135 memory: 1428 2022/07/22 18:43:40 - mmengine - INFO - Epoch(val) [18][220/310] eta: 0:00:19 time: 0.2200 data_time: 0.1433 memory: 1428 2022/07/22 18:43:45 - mmengine - INFO - Epoch(val) [18][240/310] eta: 0:00:14 time: 0.2038 data_time: 0.1173 memory: 1428 2022/07/22 18:43:49 - mmengine - INFO - Epoch(val) [18][260/310] eta: 0:00:11 time: 0.2243 data_time: 0.1503 memory: 1428 2022/07/22 18:43:53 - mmengine - INFO - Epoch(val) [18][280/310] eta: 0:00:05 time: 0.1827 data_time: 0.1064 memory: 1428 2022/07/22 18:43:57 - mmengine - INFO - Epoch(val) [18][300/310] eta: 0:00:02 time: 0.2277 data_time: 0.1493 memory: 1428 2022/07/22 18:44:02 - mmengine - INFO - Epoch(val) [18][310/310] acc/top1: 0.5284 acc/top5: 0.7781 acc/mean1: 0.5284 2022/07/22 18:44:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_18.pth is removed 2022/07/22 18:44:05 - mmengine - INFO - The best checkpoint with 0.5284 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/07/22 18:44:11 - mmengine - INFO - Epoch(train) [19][20/3757] lr: 1.0000e-02 eta: 20:02:38 time: 0.2831 data_time: 0.0914 memory: 6108 grad_norm: 5.3550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0205 loss: 2.0205 2022/07/22 18:44:15 - mmengine - INFO - Epoch(train) [19][40/3757] lr: 1.0000e-02 eta: 20:02:33 time: 0.2289 data_time: 0.0217 memory: 6108 grad_norm: 5.4773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1401 loss: 2.1401 2022/07/22 18:44:20 - mmengine - INFO - Epoch(train) [19][60/3757] lr: 1.0000e-02 eta: 20:02:27 time: 0.2217 data_time: 0.0242 memory: 6108 grad_norm: 5.4236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1172 loss: 2.1172 2022/07/22 18:44:24 - mmengine - INFO - Epoch(train) [19][80/3757] lr: 1.0000e-02 eta: 20:02:22 time: 0.2247 data_time: 0.0242 memory: 6108 grad_norm: 5.5381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1318 loss: 2.1318 2022/07/22 18:44:29 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 1.0000e-02 eta: 20:02:17 time: 0.2295 data_time: 0.0209 memory: 6108 grad_norm: 5.5610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1820 loss: 2.1820 2022/07/22 18:44:33 - mmengine - INFO - Epoch(train) [19][120/3757] lr: 1.0000e-02 eta: 20:02:12 time: 0.2316 data_time: 0.0288 memory: 6108 grad_norm: 5.4598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0595 loss: 2.0595 2022/07/22 18:44:38 - mmengine - INFO - Epoch(train) [19][140/3757] lr: 1.0000e-02 eta: 20:02:07 time: 0.2363 data_time: 0.0273 memory: 6108 grad_norm: 5.4729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/07/22 18:44:43 - mmengine - INFO - Epoch(train) [19][160/3757] lr: 1.0000e-02 eta: 20:02:03 time: 0.2402 data_time: 0.0333 memory: 6108 grad_norm: 5.5835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2827 loss: 2.2827 2022/07/22 18:44:48 - mmengine - INFO - Epoch(train) [19][180/3757] lr: 1.0000e-02 eta: 20:01:59 time: 0.2429 data_time: 0.0379 memory: 6108 grad_norm: 5.6448 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1533 loss: 2.1533 2022/07/22 18:44:53 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 1.0000e-02 eta: 20:01:55 time: 0.2382 data_time: 0.0451 memory: 6108 grad_norm: 5.5972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0911 loss: 2.0911 2022/07/22 18:44:58 - mmengine - INFO - Epoch(train) [19][220/3757] lr: 1.0000e-02 eta: 20:01:51 time: 0.2432 data_time: 0.0181 memory: 6108 grad_norm: 5.5945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2413 loss: 2.2413 2022/07/22 18:45:03 - mmengine - INFO - Epoch(train) [19][240/3757] lr: 1.0000e-02 eta: 20:01:48 time: 0.2488 data_time: 0.0509 memory: 6108 grad_norm: 5.4167 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9824 loss: 1.9824 2022/07/22 18:45:07 - mmengine - INFO - Epoch(train) [19][260/3757] lr: 1.0000e-02 eta: 20:01:42 time: 0.2293 data_time: 0.0206 memory: 6108 grad_norm: 5.6083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9321 loss: 1.9321 2022/07/22 18:45:12 - mmengine - INFO - Epoch(train) [19][280/3757] lr: 1.0000e-02 eta: 20:01:37 time: 0.2273 data_time: 0.0258 memory: 6108 grad_norm: 5.4815 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9977 loss: 1.9977 2022/07/22 18:45:16 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 1.0000e-02 eta: 20:01:32 time: 0.2270 data_time: 0.0236 memory: 6108 grad_norm: 5.5288 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9372 loss: 1.9372 2022/07/22 18:45:21 - mmengine - INFO - Epoch(train) [19][320/3757] lr: 1.0000e-02 eta: 20:01:27 time: 0.2360 data_time: 0.0377 memory: 6108 grad_norm: 5.6263 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1370 loss: 2.1370 2022/07/22 18:45:25 - mmengine - INFO - Epoch(train) [19][340/3757] lr: 1.0000e-02 eta: 20:01:22 time: 0.2242 data_time: 0.0174 memory: 6108 grad_norm: 5.6147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4282 loss: 2.4282 2022/07/22 18:45:30 - mmengine - INFO - Epoch(train) [19][360/3757] lr: 1.0000e-02 eta: 20:01:16 time: 0.2253 data_time: 0.0228 memory: 6108 grad_norm: 5.5632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6645 loss: 2.6645 2022/07/22 18:45:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:45:36 - mmengine - INFO - Epoch(train) [19][380/3757] lr: 1.0000e-02 eta: 20:01:17 time: 0.2934 data_time: 0.0455 memory: 6108 grad_norm: 5.4857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3105 loss: 2.3105 2022/07/22 18:45:40 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 1.0000e-02 eta: 20:01:12 time: 0.2298 data_time: 0.0204 memory: 6108 grad_norm: 5.5301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4013 loss: 2.4013 2022/07/22 18:45:45 - mmengine - INFO - Epoch(train) [19][420/3757] lr: 1.0000e-02 eta: 20:01:07 time: 0.2308 data_time: 0.0169 memory: 6108 grad_norm: 5.6795 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5043 loss: 2.5043 2022/07/22 18:45:50 - mmengine - INFO - Epoch(train) [19][440/3757] lr: 1.0000e-02 eta: 20:01:01 time: 0.2268 data_time: 0.0170 memory: 6108 grad_norm: 5.3263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1320 loss: 2.1320 2022/07/22 18:45:54 - mmengine - INFO - Epoch(train) [19][460/3757] lr: 1.0000e-02 eta: 20:00:56 time: 0.2232 data_time: 0.0230 memory: 6108 grad_norm: 5.4935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9945 loss: 1.9945 2022/07/22 18:45:59 - mmengine - INFO - Epoch(train) [19][480/3757] lr: 1.0000e-02 eta: 20:00:51 time: 0.2385 data_time: 0.0175 memory: 6108 grad_norm: 5.6468 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1836 loss: 2.1836 2022/07/22 18:46:03 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 1.0000e-02 eta: 20:00:46 time: 0.2309 data_time: 0.0208 memory: 6108 grad_norm: 5.4306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6657 loss: 1.6657 2022/07/22 18:46:08 - mmengine - INFO - Epoch(train) [19][520/3757] lr: 1.0000e-02 eta: 20:00:42 time: 0.2428 data_time: 0.0258 memory: 6108 grad_norm: 5.4100 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1412 loss: 2.1412 2022/07/22 18:46:13 - mmengine - INFO - Epoch(train) [19][540/3757] lr: 1.0000e-02 eta: 20:00:37 time: 0.2232 data_time: 0.0253 memory: 6108 grad_norm: 5.5018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2069 loss: 2.2069 2022/07/22 18:46:17 - mmengine - INFO - Epoch(train) [19][560/3757] lr: 1.0000e-02 eta: 20:00:32 time: 0.2308 data_time: 0.0209 memory: 6108 grad_norm: 5.5325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3473 loss: 2.3473 2022/07/22 18:46:22 - mmengine - INFO - Epoch(train) [19][580/3757] lr: 1.0000e-02 eta: 20:00:27 time: 0.2279 data_time: 0.0279 memory: 6108 grad_norm: 5.3626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1805 loss: 2.1805 2022/07/22 18:46:27 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 1.0000e-02 eta: 20:00:21 time: 0.2286 data_time: 0.0213 memory: 6108 grad_norm: 5.4351 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3356 loss: 2.3356 2022/07/22 18:46:32 - mmengine - INFO - Epoch(train) [19][620/3757] lr: 1.0000e-02 eta: 20:00:18 time: 0.2479 data_time: 0.0494 memory: 6108 grad_norm: 5.5401 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0690 loss: 2.0690 2022/07/22 18:46:36 - mmengine - INFO - Epoch(train) [19][640/3757] lr: 1.0000e-02 eta: 20:00:13 time: 0.2316 data_time: 0.0251 memory: 6108 grad_norm: 5.5969 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3673 loss: 2.3673 2022/07/22 18:46:41 - mmengine - INFO - Epoch(train) [19][660/3757] lr: 1.0000e-02 eta: 20:00:09 time: 0.2474 data_time: 0.0518 memory: 6108 grad_norm: 5.6336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1169 loss: 2.1169 2022/07/22 18:46:46 - mmengine - INFO - Epoch(train) [19][680/3757] lr: 1.0000e-02 eta: 20:00:04 time: 0.2272 data_time: 0.0192 memory: 6108 grad_norm: 5.7622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0612 loss: 2.0612 2022/07/22 18:46:50 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 1.0000e-02 eta: 20:00:00 time: 0.2407 data_time: 0.0383 memory: 6108 grad_norm: 5.5801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2472 loss: 2.2472 2022/07/22 18:46:55 - mmengine - INFO - Epoch(train) [19][720/3757] lr: 1.0000e-02 eta: 19:59:55 time: 0.2339 data_time: 0.0299 memory: 6108 grad_norm: 5.7152 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0564 loss: 2.0564 2022/07/22 18:47:00 - mmengine - INFO - Epoch(train) [19][740/3757] lr: 1.0000e-02 eta: 19:59:50 time: 0.2232 data_time: 0.0213 memory: 6108 grad_norm: 5.5845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1334 loss: 2.1334 2022/07/22 18:47:05 - mmengine - INFO - Epoch(train) [19][760/3757] lr: 1.0000e-02 eta: 19:59:47 time: 0.2530 data_time: 0.0497 memory: 6108 grad_norm: 5.6226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3051 loss: 2.3051 2022/07/22 18:47:09 - mmengine - INFO - Epoch(train) [19][780/3757] lr: 1.0000e-02 eta: 19:59:41 time: 0.2232 data_time: 0.0219 memory: 6108 grad_norm: 5.6332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/07/22 18:47:14 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 1.0000e-02 eta: 19:59:36 time: 0.2264 data_time: 0.0242 memory: 6108 grad_norm: 5.5202 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3781 loss: 2.3781 2022/07/22 18:47:18 - mmengine - INFO - Epoch(train) [19][820/3757] lr: 1.0000e-02 eta: 19:59:31 time: 0.2318 data_time: 0.0284 memory: 6108 grad_norm: 5.7434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4909 loss: 2.4909 2022/07/22 18:47:23 - mmengine - INFO - Epoch(train) [19][840/3757] lr: 1.0000e-02 eta: 19:59:25 time: 0.2276 data_time: 0.0183 memory: 6108 grad_norm: 5.6672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3440 loss: 2.3440 2022/07/22 18:47:28 - mmengine - INFO - Epoch(train) [19][860/3757] lr: 1.0000e-02 eta: 19:59:23 time: 0.2623 data_time: 0.0246 memory: 6108 grad_norm: 5.3843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/07/22 18:47:33 - mmengine - INFO - Epoch(train) [19][880/3757] lr: 1.0000e-02 eta: 19:59:17 time: 0.2222 data_time: 0.0274 memory: 6108 grad_norm: 5.3934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1589 loss: 2.1589 2022/07/22 18:47:37 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 1.0000e-02 eta: 19:59:12 time: 0.2286 data_time: 0.0238 memory: 6108 grad_norm: 5.4293 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2152 loss: 2.2152 2022/07/22 18:47:42 - mmengine - INFO - Epoch(train) [19][920/3757] lr: 1.0000e-02 eta: 19:59:08 time: 0.2342 data_time: 0.0183 memory: 6108 grad_norm: 5.5888 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1761 loss: 2.1761 2022/07/22 18:47:47 - mmengine - INFO - Epoch(train) [19][940/3757] lr: 1.0000e-02 eta: 19:59:03 time: 0.2364 data_time: 0.0341 memory: 6108 grad_norm: 5.6103 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1473 loss: 2.1473 2022/07/22 18:47:52 - mmengine - INFO - Epoch(train) [19][960/3757] lr: 1.0000e-02 eta: 19:59:00 time: 0.2486 data_time: 0.0175 memory: 6108 grad_norm: 5.4486 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1143 loss: 2.1143 2022/07/22 18:47:56 - mmengine - INFO - Epoch(train) [19][980/3757] lr: 1.0000e-02 eta: 19:58:54 time: 0.2288 data_time: 0.0228 memory: 6108 grad_norm: 5.6408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3779 loss: 2.3779 2022/07/22 18:48:01 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 1.0000e-02 eta: 19:58:49 time: 0.2280 data_time: 0.0262 memory: 6108 grad_norm: 5.6221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2046 loss: 2.2046 2022/07/22 18:48:05 - mmengine - INFO - Epoch(train) [19][1020/3757] lr: 1.0000e-02 eta: 19:58:44 time: 0.2313 data_time: 0.0212 memory: 6108 grad_norm: 5.6980 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0587 loss: 2.0587 2022/07/22 18:48:10 - mmengine - INFO - Epoch(train) [19][1040/3757] lr: 1.0000e-02 eta: 19:58:39 time: 0.2245 data_time: 0.0200 memory: 6108 grad_norm: 5.6044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2261 loss: 2.2261 2022/07/22 18:48:15 - mmengine - INFO - Epoch(train) [19][1060/3757] lr: 1.0000e-02 eta: 19:58:35 time: 0.2412 data_time: 0.0214 memory: 6108 grad_norm: 5.7956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1840 loss: 2.1840 2022/07/22 18:48:19 - mmengine - INFO - Epoch(train) [19][1080/3757] lr: 1.0000e-02 eta: 19:58:29 time: 0.2244 data_time: 0.0212 memory: 6108 grad_norm: 5.4005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0728 loss: 2.0728 2022/07/22 18:48:24 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 1.0000e-02 eta: 19:58:25 time: 0.2450 data_time: 0.0250 memory: 6108 grad_norm: 5.4332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1732 loss: 2.1732 2022/07/22 18:48:29 - mmengine - INFO - Epoch(train) [19][1120/3757] lr: 1.0000e-02 eta: 19:58:20 time: 0.2278 data_time: 0.0286 memory: 6108 grad_norm: 5.5539 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1588 loss: 2.1588 2022/07/22 18:48:33 - mmengine - INFO - Epoch(train) [19][1140/3757] lr: 1.0000e-02 eta: 19:58:14 time: 0.2201 data_time: 0.0199 memory: 6108 grad_norm: 5.9438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2770 loss: 2.2770 2022/07/22 18:48:38 - mmengine - INFO - Epoch(train) [19][1160/3757] lr: 1.0000e-02 eta: 19:58:10 time: 0.2352 data_time: 0.0236 memory: 6108 grad_norm: 5.6751 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2857 loss: 2.2857 2022/07/22 18:48:42 - mmengine - INFO - Epoch(train) [19][1180/3757] lr: 1.0000e-02 eta: 19:58:04 time: 0.2218 data_time: 0.0247 memory: 6108 grad_norm: 5.4947 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2225 loss: 2.2225 2022/07/22 18:48:47 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 1.0000e-02 eta: 19:57:59 time: 0.2345 data_time: 0.0188 memory: 6108 grad_norm: 5.3933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0671 loss: 2.0671 2022/07/22 18:48:52 - mmengine - INFO - Epoch(train) [19][1220/3757] lr: 1.0000e-02 eta: 19:57:56 time: 0.2519 data_time: 0.0587 memory: 6108 grad_norm: 5.5630 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3129 loss: 2.3129 2022/07/22 18:48:57 - mmengine - INFO - Epoch(train) [19][1240/3757] lr: 1.0000e-02 eta: 19:57:53 time: 0.2566 data_time: 0.0600 memory: 6108 grad_norm: 5.4941 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3728 loss: 2.3728 2022/07/22 18:49:02 - mmengine - INFO - Epoch(train) [19][1260/3757] lr: 1.0000e-02 eta: 19:57:48 time: 0.2240 data_time: 0.0199 memory: 6108 grad_norm: 5.5494 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2606 loss: 2.2606 2022/07/22 18:49:06 - mmengine - INFO - Epoch(train) [19][1280/3757] lr: 1.0000e-02 eta: 19:57:43 time: 0.2288 data_time: 0.0217 memory: 6108 grad_norm: 5.6013 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0533 loss: 2.0533 2022/07/22 18:49:11 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 1.0000e-02 eta: 19:57:37 time: 0.2236 data_time: 0.0233 memory: 6108 grad_norm: 5.5807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9833 loss: 1.9833 2022/07/22 18:49:16 - mmengine - INFO - Epoch(train) [19][1320/3757] lr: 1.0000e-02 eta: 19:57:33 time: 0.2482 data_time: 0.0288 memory: 6108 grad_norm: 5.4652 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9150 loss: 1.9150 2022/07/22 18:49:20 - mmengine - INFO - Epoch(train) [19][1340/3757] lr: 1.0000e-02 eta: 19:57:27 time: 0.2179 data_time: 0.0246 memory: 6108 grad_norm: 5.2922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9160 loss: 1.9160 2022/07/22 18:49:25 - mmengine - INFO - Epoch(train) [19][1360/3757] lr: 1.0000e-02 eta: 19:57:23 time: 0.2353 data_time: 0.0218 memory: 6108 grad_norm: 5.3290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7276 loss: 1.7276 2022/07/22 18:49:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:49:30 - mmengine - INFO - Epoch(train) [19][1380/3757] lr: 1.0000e-02 eta: 19:57:21 time: 0.2685 data_time: 0.0227 memory: 6108 grad_norm: 5.7188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1021 loss: 2.1021 2022/07/22 18:49:35 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 1.0000e-02 eta: 19:57:16 time: 0.2238 data_time: 0.0237 memory: 6108 grad_norm: 5.4655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1359 loss: 2.1359 2022/07/22 18:49:39 - mmengine - INFO - Epoch(train) [19][1420/3757] lr: 1.0000e-02 eta: 19:57:10 time: 0.2285 data_time: 0.0278 memory: 6108 grad_norm: 5.5295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2325 loss: 2.2325 2022/07/22 18:49:44 - mmengine - INFO - Epoch(train) [19][1440/3757] lr: 1.0000e-02 eta: 19:57:04 time: 0.2199 data_time: 0.0195 memory: 6108 grad_norm: 5.4563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4958 loss: 2.4958 2022/07/22 18:49:48 - mmengine - INFO - Epoch(train) [19][1460/3757] lr: 1.0000e-02 eta: 19:56:59 time: 0.2285 data_time: 0.0253 memory: 6108 grad_norm: 5.5074 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0330 loss: 2.0330 2022/07/22 18:49:53 - mmengine - INFO - Epoch(train) [19][1480/3757] lr: 1.0000e-02 eta: 19:56:53 time: 0.2174 data_time: 0.0191 memory: 6108 grad_norm: 5.5955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0027 loss: 2.0027 2022/07/22 18:49:58 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 1.0000e-02 eta: 19:56:50 time: 0.2558 data_time: 0.0197 memory: 6108 grad_norm: 5.4635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2351 loss: 2.2351 2022/07/22 18:50:02 - mmengine - INFO - Epoch(train) [19][1520/3757] lr: 1.0000e-02 eta: 19:56:44 time: 0.2179 data_time: 0.0198 memory: 6108 grad_norm: 5.6436 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1937 loss: 2.1937 2022/07/22 18:50:07 - mmengine - INFO - Epoch(train) [19][1540/3757] lr: 1.0000e-02 eta: 19:56:39 time: 0.2317 data_time: 0.0239 memory: 6108 grad_norm: 5.6425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3135 loss: 2.3135 2022/07/22 18:50:11 - mmengine - INFO - Epoch(train) [19][1560/3757] lr: 1.0000e-02 eta: 19:56:33 time: 0.2229 data_time: 0.0187 memory: 6108 grad_norm: 5.6818 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4547 loss: 2.4547 2022/07/22 18:50:16 - mmengine - INFO - Epoch(train) [19][1580/3757] lr: 1.0000e-02 eta: 19:56:28 time: 0.2240 data_time: 0.0217 memory: 6108 grad_norm: 5.5662 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3774 loss: 2.3774 2022/07/22 18:50:20 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 1.0000e-02 eta: 19:56:23 time: 0.2298 data_time: 0.0195 memory: 6108 grad_norm: 5.3850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1103 loss: 2.1103 2022/07/22 18:50:25 - mmengine - INFO - Epoch(train) [19][1620/3757] lr: 1.0000e-02 eta: 19:56:19 time: 0.2415 data_time: 0.0285 memory: 6108 grad_norm: 5.6679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3745 loss: 2.3745 2022/07/22 18:50:30 - mmengine - INFO - Epoch(train) [19][1640/3757] lr: 1.0000e-02 eta: 19:56:13 time: 0.2226 data_time: 0.0236 memory: 6108 grad_norm: 5.6414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1756 loss: 2.1756 2022/07/22 18:50:34 - mmengine - INFO - Epoch(train) [19][1660/3757] lr: 1.0000e-02 eta: 19:56:08 time: 0.2342 data_time: 0.0164 memory: 6108 grad_norm: 5.6503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3475 loss: 2.3475 2022/07/22 18:50:39 - mmengine - INFO - Epoch(train) [19][1680/3757] lr: 1.0000e-02 eta: 19:56:03 time: 0.2224 data_time: 0.0207 memory: 6108 grad_norm: 5.6924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3574 loss: 2.3574 2022/07/22 18:50:43 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 1.0000e-02 eta: 19:55:57 time: 0.2217 data_time: 0.0219 memory: 6108 grad_norm: 5.6012 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3794 loss: 2.3794 2022/07/22 18:50:48 - mmengine - INFO - Epoch(train) [19][1720/3757] lr: 1.0000e-02 eta: 19:55:54 time: 0.2499 data_time: 0.0191 memory: 6108 grad_norm: 5.5400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2637 loss: 2.2637 2022/07/22 18:50:53 - mmengine - INFO - Epoch(train) [19][1740/3757] lr: 1.0000e-02 eta: 19:55:49 time: 0.2330 data_time: 0.0183 memory: 6108 grad_norm: 5.5146 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1825 loss: 2.1825 2022/07/22 18:50:57 - mmengine - INFO - Epoch(train) [19][1760/3757] lr: 1.0000e-02 eta: 19:55:44 time: 0.2352 data_time: 0.0230 memory: 6108 grad_norm: 5.4995 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4269 loss: 2.4269 2022/07/22 18:51:02 - mmengine - INFO - Epoch(train) [19][1780/3757] lr: 1.0000e-02 eta: 19:55:39 time: 0.2290 data_time: 0.0210 memory: 6108 grad_norm: 5.4823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7855 loss: 1.7855 2022/07/22 18:51:07 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 1.0000e-02 eta: 19:55:35 time: 0.2393 data_time: 0.0274 memory: 6108 grad_norm: 5.5498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9961 loss: 1.9961 2022/07/22 18:51:12 - mmengine - INFO - Epoch(train) [19][1820/3757] lr: 1.0000e-02 eta: 19:55:30 time: 0.2345 data_time: 0.0261 memory: 6108 grad_norm: 5.7457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1735 loss: 2.1735 2022/07/22 18:51:16 - mmengine - INFO - Epoch(train) [19][1840/3757] lr: 1.0000e-02 eta: 19:55:25 time: 0.2273 data_time: 0.0242 memory: 6108 grad_norm: 5.5841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3202 loss: 2.3202 2022/07/22 18:51:21 - mmengine - INFO - Epoch(train) [19][1860/3757] lr: 1.0000e-02 eta: 19:55:19 time: 0.2180 data_time: 0.0190 memory: 6108 grad_norm: 5.6060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1686 loss: 2.1686 2022/07/22 18:51:25 - mmengine - INFO - Epoch(train) [19][1880/3757] lr: 1.0000e-02 eta: 19:55:14 time: 0.2386 data_time: 0.0213 memory: 6108 grad_norm: 5.5728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3662 loss: 2.3662 2022/07/22 18:51:30 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 1.0000e-02 eta: 19:55:08 time: 0.2192 data_time: 0.0218 memory: 6108 grad_norm: 5.6743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0170 loss: 2.0170 2022/07/22 18:51:34 - mmengine - INFO - Epoch(train) [19][1920/3757] lr: 1.0000e-02 eta: 19:55:04 time: 0.2330 data_time: 0.0184 memory: 6108 grad_norm: 5.5168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/07/22 18:51:39 - mmengine - INFO - Epoch(train) [19][1940/3757] lr: 1.0000e-02 eta: 19:54:58 time: 0.2225 data_time: 0.0218 memory: 6108 grad_norm: 5.4997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/07/22 18:51:43 - mmengine - INFO - Epoch(train) [19][1960/3757] lr: 1.0000e-02 eta: 19:54:52 time: 0.2239 data_time: 0.0188 memory: 6108 grad_norm: 5.5398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3017 loss: 2.3017 2022/07/22 18:51:48 - mmengine - INFO - Epoch(train) [19][1980/3757] lr: 1.0000e-02 eta: 19:54:48 time: 0.2384 data_time: 0.0203 memory: 6108 grad_norm: 5.3183 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1643 loss: 2.1643 2022/07/22 18:51:53 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 1.0000e-02 eta: 19:54:43 time: 0.2274 data_time: 0.0233 memory: 6108 grad_norm: 5.4446 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3073 loss: 2.3073 2022/07/22 18:51:57 - mmengine - INFO - Epoch(train) [19][2020/3757] lr: 1.0000e-02 eta: 19:54:39 time: 0.2416 data_time: 0.0164 memory: 6108 grad_norm: 5.4590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0704 loss: 2.0704 2022/07/22 18:52:02 - mmengine - INFO - Epoch(train) [19][2040/3757] lr: 1.0000e-02 eta: 19:54:33 time: 0.2258 data_time: 0.0223 memory: 6108 grad_norm: 5.4805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1562 loss: 2.1562 2022/07/22 18:52:07 - mmengine - INFO - Epoch(train) [19][2060/3757] lr: 1.0000e-02 eta: 19:54:30 time: 0.2449 data_time: 0.0251 memory: 6108 grad_norm: 5.4526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0032 loss: 2.0032 2022/07/22 18:52:11 - mmengine - INFO - Epoch(train) [19][2080/3757] lr: 1.0000e-02 eta: 19:54:24 time: 0.2194 data_time: 0.0197 memory: 6108 grad_norm: 5.3853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/07/22 18:52:16 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 1.0000e-02 eta: 19:54:20 time: 0.2459 data_time: 0.0216 memory: 6108 grad_norm: 5.4196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0074 loss: 2.0074 2022/07/22 18:52:21 - mmengine - INFO - Epoch(train) [19][2120/3757] lr: 1.0000e-02 eta: 19:54:15 time: 0.2302 data_time: 0.0245 memory: 6108 grad_norm: 5.6932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1252 loss: 2.1252 2022/07/22 18:52:26 - mmengine - INFO - Epoch(train) [19][2140/3757] lr: 1.0000e-02 eta: 19:54:13 time: 0.2618 data_time: 0.0164 memory: 6108 grad_norm: 5.6216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8836 loss: 1.8836 2022/07/22 18:52:31 - mmengine - INFO - Epoch(train) [19][2160/3757] lr: 1.0000e-02 eta: 19:54:07 time: 0.2243 data_time: 0.0219 memory: 6108 grad_norm: 5.5651 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4712 loss: 2.4712 2022/07/22 18:52:35 - mmengine - INFO - Epoch(train) [19][2180/3757] lr: 1.0000e-02 eta: 19:54:01 time: 0.2216 data_time: 0.0318 memory: 6108 grad_norm: 5.6828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5749 loss: 2.5749 2022/07/22 18:52:39 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 1.0000e-02 eta: 19:53:55 time: 0.2210 data_time: 0.0197 memory: 6108 grad_norm: 5.3881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0243 loss: 2.0243 2022/07/22 18:52:44 - mmengine - INFO - Epoch(train) [19][2220/3757] lr: 1.0000e-02 eta: 19:53:51 time: 0.2427 data_time: 0.0211 memory: 6108 grad_norm: 5.5576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1527 loss: 2.1527 2022/07/22 18:52:49 - mmengine - INFO - Epoch(train) [19][2240/3757] lr: 1.0000e-02 eta: 19:53:47 time: 0.2412 data_time: 0.0198 memory: 6108 grad_norm: 5.5510 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0315 loss: 2.0315 2022/07/22 18:52:54 - mmengine - INFO - Epoch(train) [19][2260/3757] lr: 1.0000e-02 eta: 19:53:44 time: 0.2437 data_time: 0.0278 memory: 6108 grad_norm: 5.6477 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3747 loss: 2.3747 2022/07/22 18:52:58 - mmengine - INFO - Epoch(train) [19][2280/3757] lr: 1.0000e-02 eta: 19:53:38 time: 0.2203 data_time: 0.0159 memory: 6108 grad_norm: 5.7393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4753 loss: 2.4753 2022/07/22 18:53:03 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 1.0000e-02 eta: 19:53:32 time: 0.2219 data_time: 0.0238 memory: 6108 grad_norm: 5.4721 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1455 loss: 2.1455 2022/07/22 18:53:08 - mmengine - INFO - Epoch(train) [19][2320/3757] lr: 1.0000e-02 eta: 19:53:27 time: 0.2309 data_time: 0.0242 memory: 6108 grad_norm: 5.5334 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3634 loss: 2.3634 2022/07/22 18:53:12 - mmengine - INFO - Epoch(train) [19][2340/3757] lr: 1.0000e-02 eta: 19:53:23 time: 0.2434 data_time: 0.0210 memory: 6108 grad_norm: 5.5332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2828 loss: 2.2828 2022/07/22 18:53:17 - mmengine - INFO - Epoch(train) [19][2360/3757] lr: 1.0000e-02 eta: 19:53:17 time: 0.2241 data_time: 0.0208 memory: 6108 grad_norm: 5.3984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2140 loss: 2.2140 2022/07/22 18:53:20 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:53:21 - mmengine - INFO - Epoch(train) [19][2380/3757] lr: 1.0000e-02 eta: 19:53:12 time: 0.2260 data_time: 0.0201 memory: 6108 grad_norm: 5.5295 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/07/22 18:53:26 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 1.0000e-02 eta: 19:53:08 time: 0.2397 data_time: 0.0201 memory: 6108 grad_norm: 5.6164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4907 loss: 2.4907 2022/07/22 18:53:31 - mmengine - INFO - Epoch(train) [19][2420/3757] lr: 1.0000e-02 eta: 19:53:03 time: 0.2369 data_time: 0.0400 memory: 6108 grad_norm: 5.7164 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2206 loss: 2.2206 2022/07/22 18:53:35 - mmengine - INFO - Epoch(train) [19][2440/3757] lr: 1.0000e-02 eta: 19:52:58 time: 0.2246 data_time: 0.0175 memory: 6108 grad_norm: 5.6025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4699 loss: 2.4699 2022/07/22 18:53:40 - mmengine - INFO - Epoch(train) [19][2460/3757] lr: 1.0000e-02 eta: 19:52:52 time: 0.2213 data_time: 0.0233 memory: 6108 grad_norm: 5.6209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3429 loss: 2.3429 2022/07/22 18:53:45 - mmengine - INFO - Epoch(train) [19][2480/3757] lr: 1.0000e-02 eta: 19:52:49 time: 0.2558 data_time: 0.0239 memory: 6108 grad_norm: 5.6804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3992 loss: 2.3992 2022/07/22 18:53:49 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 1.0000e-02 eta: 19:52:44 time: 0.2246 data_time: 0.0208 memory: 6108 grad_norm: 5.6321 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3053 loss: 2.3053 2022/07/22 18:53:54 - mmengine - INFO - Epoch(train) [19][2520/3757] lr: 1.0000e-02 eta: 19:52:38 time: 0.2209 data_time: 0.0180 memory: 6108 grad_norm: 5.5077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1312 loss: 2.1312 2022/07/22 18:53:59 - mmengine - INFO - Epoch(train) [19][2540/3757] lr: 1.0000e-02 eta: 19:52:35 time: 0.2519 data_time: 0.0240 memory: 6108 grad_norm: 5.5884 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0967 loss: 2.0967 2022/07/22 18:54:03 - mmengine - INFO - Epoch(train) [19][2560/3757] lr: 1.0000e-02 eta: 19:52:29 time: 0.2190 data_time: 0.0211 memory: 6108 grad_norm: 5.5145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9878 loss: 1.9878 2022/07/22 18:54:08 - mmengine - INFO - Epoch(train) [19][2580/3757] lr: 1.0000e-02 eta: 19:52:26 time: 0.2517 data_time: 0.0210 memory: 6108 grad_norm: 5.5791 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1181 loss: 2.1181 2022/07/22 18:54:13 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 1.0000e-02 eta: 19:52:20 time: 0.2239 data_time: 0.0234 memory: 6108 grad_norm: 5.3958 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1140 loss: 2.1140 2022/07/22 18:54:18 - mmengine - INFO - Epoch(train) [19][2620/3757] lr: 1.0000e-02 eta: 19:52:15 time: 0.2339 data_time: 0.0289 memory: 6108 grad_norm: 5.6354 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9600 loss: 1.9600 2022/07/22 18:54:22 - mmengine - INFO - Epoch(train) [19][2640/3757] lr: 1.0000e-02 eta: 19:52:09 time: 0.2198 data_time: 0.0232 memory: 6108 grad_norm: 5.5914 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2863 loss: 2.2863 2022/07/22 18:54:27 - mmengine - INFO - Epoch(train) [19][2660/3757] lr: 1.0000e-02 eta: 19:52:04 time: 0.2283 data_time: 0.0219 memory: 6108 grad_norm: 5.5485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4492 loss: 2.4492 2022/07/22 18:54:31 - mmengine - INFO - Epoch(train) [19][2680/3757] lr: 1.0000e-02 eta: 19:52:00 time: 0.2385 data_time: 0.0198 memory: 6108 grad_norm: 5.4624 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/07/22 18:54:36 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 1.0000e-02 eta: 19:51:57 time: 0.2543 data_time: 0.0200 memory: 6108 grad_norm: 5.5127 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0849 loss: 2.0849 2022/07/22 18:54:41 - mmengine - INFO - Epoch(train) [19][2720/3757] lr: 1.0000e-02 eta: 19:51:52 time: 0.2258 data_time: 0.0222 memory: 6108 grad_norm: 5.3961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0031 loss: 2.0031 2022/07/22 18:54:45 - mmengine - INFO - Epoch(train) [19][2740/3757] lr: 1.0000e-02 eta: 19:51:46 time: 0.2275 data_time: 0.0196 memory: 6108 grad_norm: 5.5473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0816 loss: 2.0816 2022/07/22 18:54:50 - mmengine - INFO - Epoch(train) [19][2760/3757] lr: 1.0000e-02 eta: 19:51:41 time: 0.2323 data_time: 0.0189 memory: 6108 grad_norm: 5.4008 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3480 loss: 2.3480 2022/07/22 18:54:55 - mmengine - INFO - Epoch(train) [19][2780/3757] lr: 1.0000e-02 eta: 19:51:36 time: 0.2256 data_time: 0.0207 memory: 6108 grad_norm: 5.5456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4213 loss: 2.4213 2022/07/22 18:54:59 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 1.0000e-02 eta: 19:51:31 time: 0.2275 data_time: 0.0252 memory: 6108 grad_norm: 5.6068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9872 loss: 1.9872 2022/07/22 18:55:04 - mmengine - INFO - Epoch(train) [19][2820/3757] lr: 1.0000e-02 eta: 19:51:26 time: 0.2308 data_time: 0.0299 memory: 6108 grad_norm: 5.6098 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1070 loss: 2.1070 2022/07/22 18:55:09 - mmengine - INFO - Epoch(train) [19][2840/3757] lr: 1.0000e-02 eta: 19:51:21 time: 0.2339 data_time: 0.0219 memory: 6108 grad_norm: 5.4523 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9111 loss: 1.9111 2022/07/22 18:55:13 - mmengine - INFO - Epoch(train) [19][2860/3757] lr: 1.0000e-02 eta: 19:51:17 time: 0.2380 data_time: 0.0204 memory: 6108 grad_norm: 5.5502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0171 loss: 2.0171 2022/07/22 18:55:18 - mmengine - INFO - Epoch(train) [19][2880/3757] lr: 1.0000e-02 eta: 19:51:13 time: 0.2431 data_time: 0.0192 memory: 6108 grad_norm: 5.4730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9256 loss: 1.9256 2022/07/22 18:55:23 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 1.0000e-02 eta: 19:51:09 time: 0.2495 data_time: 0.0239 memory: 6108 grad_norm: 5.4851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/07/22 18:55:28 - mmengine - INFO - Epoch(train) [19][2920/3757] lr: 1.0000e-02 eta: 19:51:04 time: 0.2297 data_time: 0.0204 memory: 6108 grad_norm: 5.4555 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9873 loss: 1.9873 2022/07/22 18:55:32 - mmengine - INFO - Epoch(train) [19][2940/3757] lr: 1.0000e-02 eta: 19:50:59 time: 0.2266 data_time: 0.0190 memory: 6108 grad_norm: 5.5605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9938 loss: 1.9938 2022/07/22 18:55:37 - mmengine - INFO - Epoch(train) [19][2960/3757] lr: 1.0000e-02 eta: 19:50:56 time: 0.2499 data_time: 0.0244 memory: 6108 grad_norm: 5.5299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2246 loss: 2.2246 2022/07/22 18:55:42 - mmengine - INFO - Epoch(train) [19][2980/3757] lr: 1.0000e-02 eta: 19:50:51 time: 0.2390 data_time: 0.0155 memory: 6108 grad_norm: 5.6232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1400 loss: 2.1400 2022/07/22 18:55:47 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 1.0000e-02 eta: 19:50:47 time: 0.2395 data_time: 0.0252 memory: 6108 grad_norm: 5.5841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0967 loss: 2.0967 2022/07/22 18:55:52 - mmengine - INFO - Epoch(train) [19][3020/3757] lr: 1.0000e-02 eta: 19:50:45 time: 0.2656 data_time: 0.0192 memory: 6108 grad_norm: 5.5777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0929 loss: 2.0929 2022/07/22 18:55:57 - mmengine - INFO - Epoch(train) [19][3040/3757] lr: 1.0000e-02 eta: 19:50:41 time: 0.2398 data_time: 0.0208 memory: 6108 grad_norm: 5.5039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9713 loss: 1.9713 2022/07/22 18:56:01 - mmengine - INFO - Epoch(train) [19][3060/3757] lr: 1.0000e-02 eta: 19:50:35 time: 0.2232 data_time: 0.0213 memory: 6108 grad_norm: 5.5926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0057 loss: 2.0057 2022/07/22 18:56:06 - mmengine - INFO - Epoch(train) [19][3080/3757] lr: 1.0000e-02 eta: 19:50:29 time: 0.2203 data_time: 0.0227 memory: 6108 grad_norm: 5.4571 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2837 loss: 2.2837 2022/07/22 18:56:11 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 1.0000e-02 eta: 19:50:25 time: 0.2423 data_time: 0.0291 memory: 6108 grad_norm: 5.4109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8249 loss: 1.8249 2022/07/22 18:56:15 - mmengine - INFO - Epoch(train) [19][3120/3757] lr: 1.0000e-02 eta: 19:50:21 time: 0.2338 data_time: 0.0219 memory: 6108 grad_norm: 5.3598 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3464 loss: 2.3464 2022/07/22 18:56:20 - mmengine - INFO - Epoch(train) [19][3140/3757] lr: 1.0000e-02 eta: 19:50:17 time: 0.2452 data_time: 0.0244 memory: 6108 grad_norm: 5.6052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0970 loss: 2.0970 2022/07/22 18:56:25 - mmengine - INFO - Epoch(train) [19][3160/3757] lr: 1.0000e-02 eta: 19:50:11 time: 0.2227 data_time: 0.0187 memory: 6108 grad_norm: 5.4899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3662 loss: 2.3662 2022/07/22 18:56:29 - mmengine - INFO - Epoch(train) [19][3180/3757] lr: 1.0000e-02 eta: 19:50:06 time: 0.2272 data_time: 0.0230 memory: 6108 grad_norm: 5.6346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2265 loss: 2.2265 2022/07/22 18:56:34 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 1.0000e-02 eta: 19:50:01 time: 0.2256 data_time: 0.0195 memory: 6108 grad_norm: 5.3894 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3584 loss: 2.3584 2022/07/22 18:56:39 - mmengine - INFO - Epoch(train) [19][3220/3757] lr: 1.0000e-02 eta: 19:49:58 time: 0.2561 data_time: 0.0191 memory: 6108 grad_norm: 5.6756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1937 loss: 2.1937 2022/07/22 18:56:44 - mmengine - INFO - Epoch(train) [19][3240/3757] lr: 1.0000e-02 eta: 19:49:52 time: 0.2253 data_time: 0.0234 memory: 6108 grad_norm: 5.6895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1252 loss: 2.1252 2022/07/22 18:56:48 - mmengine - INFO - Epoch(train) [19][3260/3757] lr: 1.0000e-02 eta: 19:49:47 time: 0.2307 data_time: 0.0154 memory: 6108 grad_norm: 5.6155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9254 loss: 1.9254 2022/07/22 18:56:53 - mmengine - INFO - Epoch(train) [19][3280/3757] lr: 1.0000e-02 eta: 19:49:42 time: 0.2262 data_time: 0.0220 memory: 6108 grad_norm: 5.5199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1446 loss: 2.1446 2022/07/22 18:56:57 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 1.0000e-02 eta: 19:49:38 time: 0.2373 data_time: 0.0228 memory: 6108 grad_norm: 5.6049 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2106 loss: 2.2106 2022/07/22 18:57:02 - mmengine - INFO - Epoch(train) [19][3320/3757] lr: 1.0000e-02 eta: 19:49:33 time: 0.2344 data_time: 0.0287 memory: 6108 grad_norm: 5.3877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2553 loss: 2.2553 2022/07/22 18:57:07 - mmengine - INFO - Epoch(train) [19][3340/3757] lr: 1.0000e-02 eta: 19:49:29 time: 0.2374 data_time: 0.0160 memory: 6108 grad_norm: 5.5567 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3142 loss: 2.3142 2022/07/22 18:57:11 - mmengine - INFO - Epoch(train) [19][3360/3757] lr: 1.0000e-02 eta: 19:49:22 time: 0.2182 data_time: 0.0226 memory: 6108 grad_norm: 5.5874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2388 loss: 2.2388 2022/07/22 18:57:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:57:16 - mmengine - INFO - Epoch(train) [19][3380/3757] lr: 1.0000e-02 eta: 19:49:17 time: 0.2249 data_time: 0.0230 memory: 6108 grad_norm: 5.5366 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7030 loss: 1.7030 2022/07/22 18:57:21 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 1.0000e-02 eta: 19:49:14 time: 0.2508 data_time: 0.0219 memory: 6108 grad_norm: 5.4192 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1939 loss: 2.1939 2022/07/22 18:57:25 - mmengine - INFO - Epoch(train) [19][3420/3757] lr: 1.0000e-02 eta: 19:49:09 time: 0.2341 data_time: 0.0266 memory: 6108 grad_norm: 5.5349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8762 loss: 1.8762 2022/07/22 18:57:30 - mmengine - INFO - Epoch(train) [19][3440/3757] lr: 1.0000e-02 eta: 19:49:04 time: 0.2255 data_time: 0.0219 memory: 6108 grad_norm: 5.5892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1003 loss: 2.1003 2022/07/22 18:57:35 - mmengine - INFO - Epoch(train) [19][3460/3757] lr: 1.0000e-02 eta: 19:49:00 time: 0.2487 data_time: 0.0221 memory: 6108 grad_norm: 5.3649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8484 loss: 1.8484 2022/07/22 18:57:40 - mmengine - INFO - Epoch(train) [19][3480/3757] lr: 1.0000e-02 eta: 19:48:55 time: 0.2269 data_time: 0.0240 memory: 6108 grad_norm: 5.6704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1922 loss: 2.1922 2022/07/22 18:57:44 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 1.0000e-02 eta: 19:48:49 time: 0.2241 data_time: 0.0201 memory: 6108 grad_norm: 5.5970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3481 loss: 2.3481 2022/07/22 18:57:49 - mmengine - INFO - Epoch(train) [19][3520/3757] lr: 1.0000e-02 eta: 19:48:44 time: 0.2270 data_time: 0.0193 memory: 6108 grad_norm: 5.3840 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1442 loss: 2.1442 2022/07/22 18:57:53 - mmengine - INFO - Epoch(train) [19][3540/3757] lr: 1.0000e-02 eta: 19:48:39 time: 0.2249 data_time: 0.0264 memory: 6108 grad_norm: 5.7748 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2382 loss: 2.2382 2022/07/22 18:57:58 - mmengine - INFO - Epoch(train) [19][3560/3757] lr: 1.0000e-02 eta: 19:48:34 time: 0.2375 data_time: 0.0190 memory: 6108 grad_norm: 5.7090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9191 loss: 1.9191 2022/07/22 18:58:03 - mmengine - INFO - Epoch(train) [19][3580/3757] lr: 1.0000e-02 eta: 19:48:31 time: 0.2465 data_time: 0.0171 memory: 6108 grad_norm: 5.4640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/07/22 18:58:08 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 1.0000e-02 eta: 19:48:26 time: 0.2418 data_time: 0.0184 memory: 6108 grad_norm: 5.5051 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1370 loss: 2.1370 2022/07/22 18:58:12 - mmengine - INFO - Epoch(train) [19][3620/3757] lr: 1.0000e-02 eta: 19:48:21 time: 0.2272 data_time: 0.0233 memory: 6108 grad_norm: 5.4184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0352 loss: 2.0352 2022/07/22 18:58:17 - mmengine - INFO - Epoch(train) [19][3640/3757] lr: 1.0000e-02 eta: 19:48:16 time: 0.2261 data_time: 0.0260 memory: 6108 grad_norm: 5.5066 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3138 loss: 2.3138 2022/07/22 18:58:21 - mmengine - INFO - Epoch(train) [19][3660/3757] lr: 1.0000e-02 eta: 19:48:11 time: 0.2283 data_time: 0.0269 memory: 6108 grad_norm: 5.5736 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5029 loss: 2.5029 2022/07/22 18:58:26 - mmengine - INFO - Epoch(train) [19][3680/3757] lr: 1.0000e-02 eta: 19:48:07 time: 0.2464 data_time: 0.0235 memory: 6108 grad_norm: 5.5956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2713 loss: 2.2713 2022/07/22 18:58:31 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 1.0000e-02 eta: 19:48:02 time: 0.2284 data_time: 0.0261 memory: 6108 grad_norm: 5.3298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9273 loss: 1.9273 2022/07/22 18:58:36 - mmengine - INFO - Epoch(train) [19][3720/3757] lr: 1.0000e-02 eta: 19:47:57 time: 0.2382 data_time: 0.0210 memory: 6108 grad_norm: 5.3840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0709 loss: 2.0709 2022/07/22 18:58:40 - mmengine - INFO - Epoch(train) [19][3740/3757] lr: 1.0000e-02 eta: 19:47:52 time: 0.2275 data_time: 0.0202 memory: 6108 grad_norm: 5.7473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4191 loss: 2.4191 2022/07/22 18:58:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 18:58:43 - mmengine - INFO - Epoch(train) [19][3757/3757] lr: 1.0000e-02 eta: 19:47:52 time: 0.1923 data_time: 0.0139 memory: 6108 grad_norm: 5.6698 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.2832 loss: 2.2832 2022/07/22 18:58:49 - mmengine - INFO - Epoch(val) [19][20/310] eta: 0:01:18 time: 0.2705 data_time: 0.1897 memory: 1428 2022/07/22 18:58:53 - mmengine - INFO - Epoch(val) [19][40/310] eta: 0:00:50 time: 0.1860 data_time: 0.1070 memory: 1428 2022/07/22 18:58:57 - mmengine - INFO - Epoch(val) [19][60/310] eta: 0:00:57 time: 0.2282 data_time: 0.1479 memory: 1428 2022/07/22 18:59:01 - mmengine - INFO - Epoch(val) [19][80/310] eta: 0:00:41 time: 0.1825 data_time: 0.1077 memory: 1428 2022/07/22 18:59:06 - mmengine - INFO - Epoch(val) [19][100/310] eta: 0:00:51 time: 0.2464 data_time: 0.1731 memory: 1428 2022/07/22 18:59:09 - mmengine - INFO - Epoch(val) [19][120/310] eta: 0:00:34 time: 0.1799 data_time: 0.1047 memory: 1428 2022/07/22 18:59:14 - mmengine - INFO - Epoch(val) [19][140/310] eta: 0:00:39 time: 0.2308 data_time: 0.1561 memory: 1428 2022/07/22 18:59:18 - mmengine - INFO - Epoch(val) [19][160/310] eta: 0:00:29 time: 0.1994 data_time: 0.1248 memory: 1428 2022/07/22 18:59:23 - mmengine - INFO - Epoch(val) [19][180/310] eta: 0:00:30 time: 0.2336 data_time: 0.1601 memory: 1428 2022/07/22 18:59:26 - mmengine - INFO - Epoch(val) [19][200/310] eta: 0:00:19 time: 0.1789 data_time: 0.1027 memory: 1428 2022/07/22 18:59:31 - mmengine - INFO - Epoch(val) [19][220/310] eta: 0:00:20 time: 0.2324 data_time: 0.1599 memory: 1428 2022/07/22 18:59:34 - mmengine - INFO - Epoch(val) [19][240/310] eta: 0:00:12 time: 0.1800 data_time: 0.1077 memory: 1428 2022/07/22 18:59:39 - mmengine - INFO - Epoch(val) [19][260/310] eta: 0:00:11 time: 0.2388 data_time: 0.1662 memory: 1428 2022/07/22 18:59:43 - mmengine - INFO - Epoch(val) [19][280/310] eta: 0:00:05 time: 0.1883 data_time: 0.1134 memory: 1428 2022/07/22 18:59:48 - mmengine - INFO - Epoch(val) [19][300/310] eta: 0:00:02 time: 0.2297 data_time: 0.1562 memory: 1428 2022/07/22 18:59:52 - mmengine - INFO - Epoch(val) [19][310/310] acc/top1: 0.5350 acc/top5: 0.7825 acc/mean1: 0.5350 2022/07/22 18:59:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_19.pth is removed 2022/07/22 18:59:55 - mmengine - INFO - The best checkpoint with 0.5350 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2022/07/22 19:00:00 - mmengine - INFO - Epoch(train) [20][20/3757] lr: 1.0000e-02 eta: 19:47:31 time: 0.2853 data_time: 0.0985 memory: 6108 grad_norm: 5.4989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3520 loss: 2.3520 2022/07/22 19:00:05 - mmengine - INFO - Epoch(train) [20][40/3757] lr: 1.0000e-02 eta: 19:47:26 time: 0.2280 data_time: 0.0283 memory: 6108 grad_norm: 5.6544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1682 loss: 2.1682 2022/07/22 19:00:10 - mmengine - INFO - Epoch(train) [20][60/3757] lr: 1.0000e-02 eta: 19:47:21 time: 0.2326 data_time: 0.0218 memory: 6108 grad_norm: 5.6014 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1154 loss: 2.1154 2022/07/22 19:00:14 - mmengine - INFO - Epoch(train) [20][80/3757] lr: 1.0000e-02 eta: 19:47:16 time: 0.2304 data_time: 0.0194 memory: 6108 grad_norm: 5.4601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2571 loss: 2.2571 2022/07/22 19:00:19 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 1.0000e-02 eta: 19:47:10 time: 0.2249 data_time: 0.0220 memory: 6108 grad_norm: 5.4194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2716 loss: 2.2716 2022/07/22 19:00:24 - mmengine - INFO - Epoch(train) [20][120/3757] lr: 1.0000e-02 eta: 19:47:07 time: 0.2444 data_time: 0.0391 memory: 6108 grad_norm: 5.3751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8629 loss: 1.8629 2022/07/22 19:00:28 - mmengine - INFO - Epoch(train) [20][140/3757] lr: 1.0000e-02 eta: 19:47:02 time: 0.2310 data_time: 0.0171 memory: 6108 grad_norm: 5.3500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9759 loss: 1.9759 2022/07/22 19:00:33 - mmengine - INFO - Epoch(train) [20][160/3757] lr: 1.0000e-02 eta: 19:46:56 time: 0.2265 data_time: 0.0260 memory: 6108 grad_norm: 5.3873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2919 loss: 2.2919 2022/07/22 19:00:37 - mmengine - INFO - Epoch(train) [20][180/3757] lr: 1.0000e-02 eta: 19:46:51 time: 0.2278 data_time: 0.0211 memory: 6108 grad_norm: 5.3586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9937 loss: 1.9937 2022/07/22 19:00:42 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 1.0000e-02 eta: 19:46:48 time: 0.2471 data_time: 0.0191 memory: 6108 grad_norm: 5.5030 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9451 loss: 1.9451 2022/07/22 19:00:48 - mmengine - INFO - Epoch(train) [20][220/3757] lr: 1.0000e-02 eta: 19:46:46 time: 0.2673 data_time: 0.0186 memory: 6108 grad_norm: 5.5610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0988 loss: 2.0988 2022/07/22 19:00:52 - mmengine - INFO - Epoch(train) [20][240/3757] lr: 1.0000e-02 eta: 19:46:40 time: 0.2232 data_time: 0.0213 memory: 6108 grad_norm: 5.3590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0534 loss: 2.0534 2022/07/22 19:00:57 - mmengine - INFO - Epoch(train) [20][260/3757] lr: 1.0000e-02 eta: 19:46:34 time: 0.2187 data_time: 0.0179 memory: 6108 grad_norm: 5.5160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0131 loss: 2.0131 2022/07/22 19:01:01 - mmengine - INFO - Epoch(train) [20][280/3757] lr: 1.0000e-02 eta: 19:46:30 time: 0.2464 data_time: 0.0178 memory: 6108 grad_norm: 5.5803 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2160 loss: 2.2160 2022/07/22 19:01:06 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 1.0000e-02 eta: 19:46:27 time: 0.2483 data_time: 0.0205 memory: 6108 grad_norm: 5.6086 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9645 loss: 1.9645 2022/07/22 19:01:11 - mmengine - INFO - Epoch(train) [20][320/3757] lr: 1.0000e-02 eta: 19:46:21 time: 0.2240 data_time: 0.0216 memory: 6108 grad_norm: 5.6209 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/07/22 19:01:16 - mmengine - INFO - Epoch(train) [20][340/3757] lr: 1.0000e-02 eta: 19:46:17 time: 0.2353 data_time: 0.0209 memory: 6108 grad_norm: 5.5375 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9457 loss: 1.9457 2022/07/22 19:01:20 - mmengine - INFO - Epoch(train) [20][360/3757] lr: 1.0000e-02 eta: 19:46:11 time: 0.2264 data_time: 0.0266 memory: 6108 grad_norm: 5.3903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2976 loss: 2.2976 2022/07/22 19:01:25 - mmengine - INFO - Epoch(train) [20][380/3757] lr: 1.0000e-02 eta: 19:46:06 time: 0.2229 data_time: 0.0193 memory: 6108 grad_norm: 5.4945 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1142 loss: 2.1142 2022/07/22 19:01:29 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 1.0000e-02 eta: 19:46:01 time: 0.2345 data_time: 0.0252 memory: 6108 grad_norm: 5.7131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2476 loss: 2.2476 2022/07/22 19:01:34 - mmengine - INFO - Epoch(train) [20][420/3757] lr: 1.0000e-02 eta: 19:45:56 time: 0.2282 data_time: 0.0277 memory: 6108 grad_norm: 5.6677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2648 loss: 2.2648 2022/07/22 19:01:39 - mmengine - INFO - Epoch(train) [20][440/3757] lr: 1.0000e-02 eta: 19:45:52 time: 0.2401 data_time: 0.0192 memory: 6108 grad_norm: 5.4193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0825 loss: 2.0825 2022/07/22 19:01:44 - mmengine - INFO - Epoch(train) [20][460/3757] lr: 1.0000e-02 eta: 19:45:48 time: 0.2475 data_time: 0.0188 memory: 6108 grad_norm: 5.4125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/07/22 19:01:48 - mmengine - INFO - Epoch(train) [20][480/3757] lr: 1.0000e-02 eta: 19:45:44 time: 0.2384 data_time: 0.0244 memory: 6108 grad_norm: 5.4949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9367 loss: 1.9367 2022/07/22 19:01:53 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 1.0000e-02 eta: 19:45:39 time: 0.2285 data_time: 0.0208 memory: 6108 grad_norm: 5.6677 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2160 loss: 2.2160 2022/07/22 19:01:58 - mmengine - INFO - Epoch(train) [20][520/3757] lr: 1.0000e-02 eta: 19:45:34 time: 0.2335 data_time: 0.0203 memory: 6108 grad_norm: 5.4993 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1733 loss: 2.1733 2022/07/22 19:02:03 - mmengine - INFO - Epoch(train) [20][540/3757] lr: 1.0000e-02 eta: 19:45:30 time: 0.2428 data_time: 0.0237 memory: 6108 grad_norm: 5.4462 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2693 loss: 2.2693 2022/07/22 19:02:07 - mmengine - INFO - Epoch(train) [20][560/3757] lr: 1.0000e-02 eta: 19:45:26 time: 0.2433 data_time: 0.0270 memory: 6108 grad_norm: 5.5503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0855 loss: 2.0855 2022/07/22 19:02:12 - mmengine - INFO - Epoch(train) [20][580/3757] lr: 1.0000e-02 eta: 19:45:21 time: 0.2262 data_time: 0.0301 memory: 6108 grad_norm: 5.5043 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0377 loss: 2.0377 2022/07/22 19:02:17 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 1.0000e-02 eta: 19:45:15 time: 0.2259 data_time: 0.0282 memory: 6108 grad_norm: 5.5594 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0004 loss: 2.0004 2022/07/22 19:02:20 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:02:21 - mmengine - INFO - Epoch(train) [20][620/3757] lr: 1.0000e-02 eta: 19:45:10 time: 0.2247 data_time: 0.0184 memory: 6108 grad_norm: 5.5823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3694 loss: 2.3694 2022/07/22 19:02:26 - mmengine - INFO - Epoch(train) [20][640/3757] lr: 1.0000e-02 eta: 19:45:04 time: 0.2240 data_time: 0.0247 memory: 6108 grad_norm: 5.5684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3638 loss: 2.3638 2022/07/22 19:02:30 - mmengine - INFO - Epoch(train) [20][660/3757] lr: 1.0000e-02 eta: 19:44:59 time: 0.2289 data_time: 0.0255 memory: 6108 grad_norm: 5.3777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7856 loss: 1.7856 2022/07/22 19:02:35 - mmengine - INFO - Epoch(train) [20][680/3757] lr: 1.0000e-02 eta: 19:44:54 time: 0.2254 data_time: 0.0208 memory: 6108 grad_norm: 5.4429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1732 loss: 2.1732 2022/07/22 19:02:39 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 1.0000e-02 eta: 19:44:50 time: 0.2382 data_time: 0.0223 memory: 6108 grad_norm: 5.4721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0519 loss: 2.0519 2022/07/22 19:02:44 - mmengine - INFO - Epoch(train) [20][720/3757] lr: 1.0000e-02 eta: 19:44:44 time: 0.2218 data_time: 0.0242 memory: 6108 grad_norm: 5.5964 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5250 loss: 2.5250 2022/07/22 19:02:49 - mmengine - INFO - Epoch(train) [20][740/3757] lr: 1.0000e-02 eta: 19:44:41 time: 0.2587 data_time: 0.0599 memory: 6108 grad_norm: 5.7597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8301 loss: 1.8301 2022/07/22 19:02:53 - mmengine - INFO - Epoch(train) [20][760/3757] lr: 1.0000e-02 eta: 19:44:35 time: 0.2215 data_time: 0.0242 memory: 6108 grad_norm: 5.6265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1437 loss: 2.1437 2022/07/22 19:02:58 - mmengine - INFO - Epoch(train) [20][780/3757] lr: 1.0000e-02 eta: 19:44:29 time: 0.2187 data_time: 0.0208 memory: 6108 grad_norm: 5.5129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0391 loss: 2.0391 2022/07/22 19:03:03 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 1.0000e-02 eta: 19:44:26 time: 0.2478 data_time: 0.0487 memory: 6108 grad_norm: 5.4528 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2789 loss: 2.2789 2022/07/22 19:03:07 - mmengine - INFO - Epoch(train) [20][820/3757] lr: 1.0000e-02 eta: 19:44:20 time: 0.2244 data_time: 0.0225 memory: 6108 grad_norm: 5.4578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0846 loss: 2.0846 2022/07/22 19:03:12 - mmengine - INFO - Epoch(train) [20][840/3757] lr: 1.0000e-02 eta: 19:44:17 time: 0.2460 data_time: 0.0231 memory: 6108 grad_norm: 5.6083 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7943 loss: 1.7943 2022/07/22 19:03:17 - mmengine - INFO - Epoch(train) [20][860/3757] lr: 1.0000e-02 eta: 19:44:12 time: 0.2297 data_time: 0.0193 memory: 6108 grad_norm: 5.4477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1685 loss: 2.1685 2022/07/22 19:03:21 - mmengine - INFO - Epoch(train) [20][880/3757] lr: 1.0000e-02 eta: 19:44:07 time: 0.2329 data_time: 0.0213 memory: 6108 grad_norm: 5.5329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2442 loss: 2.2442 2022/07/22 19:03:26 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 1.0000e-02 eta: 19:44:01 time: 0.2236 data_time: 0.0252 memory: 6108 grad_norm: 5.6432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1546 loss: 2.1546 2022/07/22 19:03:30 - mmengine - INFO - Epoch(train) [20][920/3757] lr: 1.0000e-02 eta: 19:43:56 time: 0.2228 data_time: 0.0179 memory: 6108 grad_norm: 5.6757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4175 loss: 2.4175 2022/07/22 19:03:35 - mmengine - INFO - Epoch(train) [20][940/3757] lr: 1.0000e-02 eta: 19:43:51 time: 0.2367 data_time: 0.0230 memory: 6108 grad_norm: 5.4721 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9919 loss: 1.9919 2022/07/22 19:03:40 - mmengine - INFO - Epoch(train) [20][960/3757] lr: 1.0000e-02 eta: 19:43:46 time: 0.2335 data_time: 0.0214 memory: 6108 grad_norm: 5.6371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1545 loss: 2.1545 2022/07/22 19:03:44 - mmengine - INFO - Epoch(train) [20][980/3757] lr: 1.0000e-02 eta: 19:43:41 time: 0.2303 data_time: 0.0208 memory: 6108 grad_norm: 5.3995 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2715 loss: 2.2715 2022/07/22 19:03:49 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 1.0000e-02 eta: 19:43:36 time: 0.2294 data_time: 0.0260 memory: 6108 grad_norm: 5.3881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2699 loss: 2.2699 2022/07/22 19:03:54 - mmengine - INFO - Epoch(train) [20][1020/3757] lr: 1.0000e-02 eta: 19:43:32 time: 0.2322 data_time: 0.0324 memory: 6108 grad_norm: 5.5143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8319 loss: 1.8319 2022/07/22 19:03:58 - mmengine - INFO - Epoch(train) [20][1040/3757] lr: 1.0000e-02 eta: 19:43:27 time: 0.2374 data_time: 0.0226 memory: 6108 grad_norm: 5.5890 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1099 loss: 2.1099 2022/07/22 19:04:03 - mmengine - INFO - Epoch(train) [20][1060/3757] lr: 1.0000e-02 eta: 19:43:22 time: 0.2248 data_time: 0.0243 memory: 6108 grad_norm: 5.7129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1386 loss: 2.1386 2022/07/22 19:04:08 - mmengine - INFO - Epoch(train) [20][1080/3757] lr: 1.0000e-02 eta: 19:43:17 time: 0.2298 data_time: 0.0207 memory: 6108 grad_norm: 5.5622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0565 loss: 2.0565 2022/07/22 19:04:12 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 1.0000e-02 eta: 19:43:11 time: 0.2198 data_time: 0.0205 memory: 6108 grad_norm: 5.6734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9912 loss: 1.9912 2022/07/22 19:04:17 - mmengine - INFO - Epoch(train) [20][1120/3757] lr: 1.0000e-02 eta: 19:43:08 time: 0.2620 data_time: 0.0300 memory: 6108 grad_norm: 5.5037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3643 loss: 2.3643 2022/07/22 19:04:22 - mmengine - INFO - Epoch(train) [20][1140/3757] lr: 1.0000e-02 eta: 19:43:04 time: 0.2364 data_time: 0.0362 memory: 6108 grad_norm: 5.5271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0185 loss: 2.0185 2022/07/22 19:04:27 - mmengine - INFO - Epoch(train) [20][1160/3757] lr: 1.0000e-02 eta: 19:42:59 time: 0.2357 data_time: 0.0271 memory: 6108 grad_norm: 5.3958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/07/22 19:04:31 - mmengine - INFO - Epoch(train) [20][1180/3757] lr: 1.0000e-02 eta: 19:42:55 time: 0.2372 data_time: 0.0245 memory: 6108 grad_norm: 5.4807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0595 loss: 2.0595 2022/07/22 19:04:36 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 1.0000e-02 eta: 19:42:51 time: 0.2401 data_time: 0.0251 memory: 6108 grad_norm: 5.5868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2436 loss: 2.2436 2022/07/22 19:04:41 - mmengine - INFO - Epoch(train) [20][1220/3757] lr: 1.0000e-02 eta: 19:42:46 time: 0.2275 data_time: 0.0178 memory: 6108 grad_norm: 5.6757 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1355 loss: 2.1355 2022/07/22 19:04:45 - mmengine - INFO - Epoch(train) [20][1240/3757] lr: 1.0000e-02 eta: 19:42:40 time: 0.2270 data_time: 0.0230 memory: 6108 grad_norm: 5.5236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9008 loss: 1.9008 2022/07/22 19:04:51 - mmengine - INFO - Epoch(train) [20][1260/3757] lr: 1.0000e-02 eta: 19:42:38 time: 0.2598 data_time: 0.0217 memory: 6108 grad_norm: 5.5708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3575 loss: 2.3575 2022/07/22 19:04:55 - mmengine - INFO - Epoch(train) [20][1280/3757] lr: 1.0000e-02 eta: 19:42:32 time: 0.2244 data_time: 0.0202 memory: 6108 grad_norm: 5.7819 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3229 loss: 2.3229 2022/07/22 19:05:00 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 1.0000e-02 eta: 19:42:27 time: 0.2303 data_time: 0.0256 memory: 6108 grad_norm: 5.5922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1322 loss: 2.1322 2022/07/22 19:05:04 - mmengine - INFO - Epoch(train) [20][1320/3757] lr: 1.0000e-02 eta: 19:42:22 time: 0.2319 data_time: 0.0213 memory: 6108 grad_norm: 5.7637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1634 loss: 2.1634 2022/07/22 19:05:09 - mmengine - INFO - Epoch(train) [20][1340/3757] lr: 1.0000e-02 eta: 19:42:17 time: 0.2273 data_time: 0.0192 memory: 6108 grad_norm: 5.5828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8919 loss: 1.8919 2022/07/22 19:05:14 - mmengine - INFO - Epoch(train) [20][1360/3757] lr: 1.0000e-02 eta: 19:42:12 time: 0.2314 data_time: 0.0235 memory: 6108 grad_norm: 5.5022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8874 loss: 1.8874 2022/07/22 19:05:18 - mmengine - INFO - Epoch(train) [20][1380/3757] lr: 1.0000e-02 eta: 19:42:07 time: 0.2323 data_time: 0.0200 memory: 6108 grad_norm: 5.5692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3672 loss: 2.3672 2022/07/22 19:05:23 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 1.0000e-02 eta: 19:42:04 time: 0.2563 data_time: 0.0185 memory: 6108 grad_norm: 5.5940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0604 loss: 2.0604 2022/07/22 19:05:28 - mmengine - INFO - Epoch(train) [20][1420/3757] lr: 1.0000e-02 eta: 19:41:59 time: 0.2234 data_time: 0.0214 memory: 6108 grad_norm: 5.7408 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0373 loss: 2.0373 2022/07/22 19:05:32 - mmengine - INFO - Epoch(train) [20][1440/3757] lr: 1.0000e-02 eta: 19:41:54 time: 0.2254 data_time: 0.0282 memory: 6108 grad_norm: 5.4717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0126 loss: 2.0126 2022/07/22 19:05:37 - mmengine - INFO - Epoch(train) [20][1460/3757] lr: 1.0000e-02 eta: 19:41:49 time: 0.2394 data_time: 0.0194 memory: 6108 grad_norm: 5.7746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1343 loss: 2.1343 2022/07/22 19:05:42 - mmengine - INFO - Epoch(train) [20][1480/3757] lr: 1.0000e-02 eta: 19:41:44 time: 0.2296 data_time: 0.0235 memory: 6108 grad_norm: 5.7697 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0220 loss: 2.0220 2022/07/22 19:05:46 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 1.0000e-02 eta: 19:41:40 time: 0.2372 data_time: 0.0201 memory: 6108 grad_norm: 5.5619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4759 loss: 2.4759 2022/07/22 19:05:51 - mmengine - INFO - Epoch(train) [20][1520/3757] lr: 1.0000e-02 eta: 19:41:34 time: 0.2266 data_time: 0.0237 memory: 6108 grad_norm: 5.7041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4228 loss: 2.4228 2022/07/22 19:05:56 - mmengine - INFO - Epoch(train) [20][1540/3757] lr: 1.0000e-02 eta: 19:41:29 time: 0.2290 data_time: 0.0223 memory: 6108 grad_norm: 5.5585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0284 loss: 2.0284 2022/07/22 19:06:01 - mmengine - INFO - Epoch(train) [20][1560/3757] lr: 1.0000e-02 eta: 19:41:27 time: 0.2575 data_time: 0.0290 memory: 6108 grad_norm: 5.6187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3810 loss: 2.3810 2022/07/22 19:06:05 - mmengine - INFO - Epoch(train) [20][1580/3757] lr: 1.0000e-02 eta: 19:41:22 time: 0.2292 data_time: 0.0257 memory: 6108 grad_norm: 5.3856 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3198 loss: 2.3198 2022/07/22 19:06:10 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 1.0000e-02 eta: 19:41:16 time: 0.2207 data_time: 0.0213 memory: 6108 grad_norm: 5.4397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8189 loss: 1.8189 2022/07/22 19:06:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:06:15 - mmengine - INFO - Epoch(train) [20][1620/3757] lr: 1.0000e-02 eta: 19:41:13 time: 0.2532 data_time: 0.0199 memory: 6108 grad_norm: 5.6673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3449 loss: 2.3449 2022/07/22 19:06:19 - mmengine - INFO - Epoch(train) [20][1640/3757] lr: 1.0000e-02 eta: 19:41:08 time: 0.2292 data_time: 0.0185 memory: 6108 grad_norm: 5.5193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1823 loss: 2.1823 2022/07/22 19:06:24 - mmengine - INFO - Epoch(train) [20][1660/3757] lr: 1.0000e-02 eta: 19:41:02 time: 0.2192 data_time: 0.0223 memory: 6108 grad_norm: 5.6461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9630 loss: 1.9630 2022/07/22 19:06:28 - mmengine - INFO - Epoch(train) [20][1680/3757] lr: 1.0000e-02 eta: 19:40:57 time: 0.2294 data_time: 0.0239 memory: 6108 grad_norm: 5.5758 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4024 loss: 2.4024 2022/07/22 19:06:33 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 1.0000e-02 eta: 19:40:53 time: 0.2463 data_time: 0.0222 memory: 6108 grad_norm: 5.4834 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1331 loss: 2.1331 2022/07/22 19:06:38 - mmengine - INFO - Epoch(train) [20][1720/3757] lr: 1.0000e-02 eta: 19:40:48 time: 0.2301 data_time: 0.0187 memory: 6108 grad_norm: 5.3887 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3202 loss: 2.3202 2022/07/22 19:06:43 - mmengine - INFO - Epoch(train) [20][1740/3757] lr: 1.0000e-02 eta: 19:40:43 time: 0.2370 data_time: 0.0206 memory: 6108 grad_norm: 5.5503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2496 loss: 2.2496 2022/07/22 19:06:47 - mmengine - INFO - Epoch(train) [20][1760/3757] lr: 1.0000e-02 eta: 19:40:38 time: 0.2233 data_time: 0.0212 memory: 6108 grad_norm: 5.3295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0517 loss: 2.0517 2022/07/22 19:06:52 - mmengine - INFO - Epoch(train) [20][1780/3757] lr: 1.0000e-02 eta: 19:40:33 time: 0.2340 data_time: 0.0189 memory: 6108 grad_norm: 5.5587 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0226 loss: 2.0226 2022/07/22 19:06:56 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 1.0000e-02 eta: 19:40:28 time: 0.2311 data_time: 0.0196 memory: 6108 grad_norm: 5.6025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9284 loss: 1.9284 2022/07/22 19:07:01 - mmengine - INFO - Epoch(train) [20][1820/3757] lr: 1.0000e-02 eta: 19:40:24 time: 0.2427 data_time: 0.0201 memory: 6108 grad_norm: 5.5474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2844 loss: 2.2844 2022/07/22 19:07:06 - mmengine - INFO - Epoch(train) [20][1840/3757] lr: 1.0000e-02 eta: 19:40:19 time: 0.2218 data_time: 0.0241 memory: 6108 grad_norm: 5.6846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2264 loss: 2.2264 2022/07/22 19:07:10 - mmengine - INFO - Epoch(train) [20][1860/3757] lr: 1.0000e-02 eta: 19:40:14 time: 0.2319 data_time: 0.0207 memory: 6108 grad_norm: 5.5837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2645 loss: 2.2645 2022/07/22 19:07:15 - mmengine - INFO - Epoch(train) [20][1880/3757] lr: 1.0000e-02 eta: 19:40:09 time: 0.2389 data_time: 0.0197 memory: 6108 grad_norm: 5.4837 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0509 loss: 2.0509 2022/07/22 19:07:20 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 1.0000e-02 eta: 19:40:05 time: 0.2378 data_time: 0.0187 memory: 6108 grad_norm: 5.6222 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3512 loss: 2.3512 2022/07/22 19:07:25 - mmengine - INFO - Epoch(train) [20][1920/3757] lr: 1.0000e-02 eta: 19:40:00 time: 0.2278 data_time: 0.0314 memory: 6108 grad_norm: 5.6683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1851 loss: 2.1851 2022/07/22 19:07:29 - mmengine - INFO - Epoch(train) [20][1940/3757] lr: 1.0000e-02 eta: 19:39:54 time: 0.2222 data_time: 0.0198 memory: 6108 grad_norm: 5.7105 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2644 loss: 2.2644 2022/07/22 19:07:34 - mmengine - INFO - Epoch(train) [20][1960/3757] lr: 1.0000e-02 eta: 19:39:51 time: 0.2575 data_time: 0.0195 memory: 6108 grad_norm: 5.7002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4708 loss: 2.4708 2022/07/22 19:07:39 - mmengine - INFO - Epoch(train) [20][1980/3757] lr: 1.0000e-02 eta: 19:39:46 time: 0.2279 data_time: 0.0189 memory: 6108 grad_norm: 5.3710 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0162 loss: 2.0162 2022/07/22 19:07:43 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 1.0000e-02 eta: 19:39:41 time: 0.2222 data_time: 0.0215 memory: 6108 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9273 loss: 1.9273 2022/07/22 19:07:48 - mmengine - INFO - Epoch(train) [20][2020/3757] lr: 1.0000e-02 eta: 19:39:36 time: 0.2414 data_time: 0.0247 memory: 6108 grad_norm: 5.4665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2387 loss: 2.2387 2022/07/22 19:07:52 - mmengine - INFO - Epoch(train) [20][2040/3757] lr: 1.0000e-02 eta: 19:39:31 time: 0.2216 data_time: 0.0227 memory: 6108 grad_norm: 5.4131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0768 loss: 2.0768 2022/07/22 19:07:57 - mmengine - INFO - Epoch(train) [20][2060/3757] lr: 1.0000e-02 eta: 19:39:25 time: 0.2230 data_time: 0.0165 memory: 6108 grad_norm: 5.4259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9807 loss: 1.9807 2022/07/22 19:08:01 - mmengine - INFO - Epoch(train) [20][2080/3757] lr: 1.0000e-02 eta: 19:39:19 time: 0.2193 data_time: 0.0233 memory: 6108 grad_norm: 5.3945 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9412 loss: 1.9412 2022/07/22 19:08:06 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 1.0000e-02 eta: 19:39:15 time: 0.2352 data_time: 0.0231 memory: 6108 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0294 loss: 2.0294 2022/07/22 19:08:11 - mmengine - INFO - Epoch(train) [20][2120/3757] lr: 1.0000e-02 eta: 19:39:10 time: 0.2375 data_time: 0.0199 memory: 6108 grad_norm: 5.6328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0433 loss: 2.0433 2022/07/22 19:08:16 - mmengine - INFO - Epoch(train) [20][2140/3757] lr: 1.0000e-02 eta: 19:39:08 time: 0.2658 data_time: 0.0218 memory: 6108 grad_norm: 5.6442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3119 loss: 2.3119 2022/07/22 19:08:21 - mmengine - INFO - Epoch(train) [20][2160/3757] lr: 1.0000e-02 eta: 19:39:02 time: 0.2206 data_time: 0.0343 memory: 6108 grad_norm: 5.6740 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5921 loss: 2.5921 2022/07/22 19:08:25 - mmengine - INFO - Epoch(train) [20][2180/3757] lr: 1.0000e-02 eta: 19:38:57 time: 0.2294 data_time: 0.0214 memory: 6108 grad_norm: 5.4466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0159 loss: 2.0159 2022/07/22 19:08:30 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 1.0000e-02 eta: 19:38:52 time: 0.2241 data_time: 0.0263 memory: 6108 grad_norm: 5.4217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2746 loss: 2.2746 2022/07/22 19:08:34 - mmengine - INFO - Epoch(train) [20][2220/3757] lr: 1.0000e-02 eta: 19:38:46 time: 0.2260 data_time: 0.0190 memory: 6108 grad_norm: 5.6858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0939 loss: 2.0939 2022/07/22 19:08:39 - mmengine - INFO - Epoch(train) [20][2240/3757] lr: 1.0000e-02 eta: 19:38:43 time: 0.2457 data_time: 0.0210 memory: 6108 grad_norm: 5.5926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1015 loss: 2.1015 2022/07/22 19:08:44 - mmengine - INFO - Epoch(train) [20][2260/3757] lr: 1.0000e-02 eta: 19:38:38 time: 0.2306 data_time: 0.0303 memory: 6108 grad_norm: 5.6299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3671 loss: 2.3671 2022/07/22 19:08:50 - mmengine - INFO - Epoch(train) [20][2280/3757] lr: 1.0000e-02 eta: 19:38:39 time: 0.3090 data_time: 0.0200 memory: 6108 grad_norm: 5.4634 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2014 loss: 2.2014 2022/07/22 19:08:54 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 1.0000e-02 eta: 19:38:33 time: 0.2199 data_time: 0.0335 memory: 6108 grad_norm: 5.5741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0611 loss: 2.0611 2022/07/22 19:08:59 - mmengine - INFO - Epoch(train) [20][2320/3757] lr: 1.0000e-02 eta: 19:38:28 time: 0.2278 data_time: 0.0241 memory: 6108 grad_norm: 5.4118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0760 loss: 2.0760 2022/07/22 19:09:04 - mmengine - INFO - Epoch(train) [20][2340/3757] lr: 1.0000e-02 eta: 19:38:24 time: 0.2452 data_time: 0.0206 memory: 6108 grad_norm: 5.5364 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1534 loss: 2.1534 2022/07/22 19:09:08 - mmengine - INFO - Epoch(train) [20][2360/3757] lr: 1.0000e-02 eta: 19:38:20 time: 0.2352 data_time: 0.0263 memory: 6108 grad_norm: 5.5296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2262 loss: 2.2262 2022/07/22 19:09:13 - mmengine - INFO - Epoch(train) [20][2380/3757] lr: 1.0000e-02 eta: 19:38:15 time: 0.2311 data_time: 0.0254 memory: 6108 grad_norm: 5.4464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1941 loss: 2.1941 2022/07/22 19:09:18 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 1.0000e-02 eta: 19:38:10 time: 0.2307 data_time: 0.0213 memory: 6108 grad_norm: 5.5275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1128 loss: 2.1128 2022/07/22 19:09:23 - mmengine - INFO - Epoch(train) [20][2420/3757] lr: 1.0000e-02 eta: 19:38:07 time: 0.2549 data_time: 0.0553 memory: 6108 grad_norm: 5.4676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9912 loss: 1.9912 2022/07/22 19:09:28 - mmengine - INFO - Epoch(train) [20][2440/3757] lr: 1.0000e-02 eta: 19:38:02 time: 0.2333 data_time: 0.0283 memory: 6108 grad_norm: 5.5336 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2209 loss: 2.2209 2022/07/22 19:09:32 - mmengine - INFO - Epoch(train) [20][2460/3757] lr: 1.0000e-02 eta: 19:37:57 time: 0.2331 data_time: 0.0338 memory: 6108 grad_norm: 5.4844 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/07/22 19:09:37 - mmengine - INFO - Epoch(train) [20][2480/3757] lr: 1.0000e-02 eta: 19:37:52 time: 0.2238 data_time: 0.0209 memory: 6108 grad_norm: 5.6324 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1463 loss: 2.1463 2022/07/22 19:09:41 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 1.0000e-02 eta: 19:37:47 time: 0.2347 data_time: 0.0354 memory: 6108 grad_norm: 5.5529 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0778 loss: 2.0778 2022/07/22 19:09:46 - mmengine - INFO - Epoch(train) [20][2520/3757] lr: 1.0000e-02 eta: 19:37:42 time: 0.2234 data_time: 0.0178 memory: 6108 grad_norm: 5.5553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0806 loss: 2.0806 2022/07/22 19:09:51 - mmengine - INFO - Epoch(train) [20][2540/3757] lr: 1.0000e-02 eta: 19:37:37 time: 0.2366 data_time: 0.0206 memory: 6108 grad_norm: 5.4940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4006 loss: 2.4006 2022/07/22 19:09:55 - mmengine - INFO - Epoch(train) [20][2560/3757] lr: 1.0000e-02 eta: 19:37:32 time: 0.2245 data_time: 0.0238 memory: 6108 grad_norm: 5.5141 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2645 loss: 2.2645 2022/07/22 19:10:00 - mmengine - INFO - Epoch(train) [20][2580/3757] lr: 1.0000e-02 eta: 19:37:26 time: 0.2266 data_time: 0.0218 memory: 6108 grad_norm: 5.4923 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0509 loss: 2.0509 2022/07/22 19:10:04 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 1.0000e-02 eta: 19:37:21 time: 0.2300 data_time: 0.0197 memory: 6108 grad_norm: 5.4100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1120 loss: 2.1120 2022/07/22 19:10:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:10:09 - mmengine - INFO - Epoch(train) [20][2620/3757] lr: 1.0000e-02 eta: 19:37:17 time: 0.2370 data_time: 0.0263 memory: 6108 grad_norm: 5.4549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3914 loss: 2.3914 2022/07/22 19:10:14 - mmengine - INFO - Epoch(train) [20][2640/3757] lr: 1.0000e-02 eta: 19:37:12 time: 0.2270 data_time: 0.0207 memory: 6108 grad_norm: 5.7398 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3197 loss: 2.3197 2022/07/22 19:10:18 - mmengine - INFO - Epoch(train) [20][2660/3757] lr: 1.0000e-02 eta: 19:37:06 time: 0.2223 data_time: 0.0234 memory: 6108 grad_norm: 5.6714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1919 loss: 2.1919 2022/07/22 19:10:23 - mmengine - INFO - Epoch(train) [20][2680/3757] lr: 1.0000e-02 eta: 19:37:01 time: 0.2332 data_time: 0.0317 memory: 6108 grad_norm: 5.2886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8580 loss: 1.8580 2022/07/22 19:10:28 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 1.0000e-02 eta: 19:36:58 time: 0.2459 data_time: 0.0360 memory: 6108 grad_norm: 5.5723 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/07/22 19:10:32 - mmengine - INFO - Epoch(train) [20][2720/3757] lr: 1.0000e-02 eta: 19:36:52 time: 0.2263 data_time: 0.0181 memory: 6108 grad_norm: 5.4745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9961 loss: 1.9961 2022/07/22 19:10:37 - mmengine - INFO - Epoch(train) [20][2740/3757] lr: 1.0000e-02 eta: 19:36:49 time: 0.2476 data_time: 0.0195 memory: 6108 grad_norm: 5.5235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1278 loss: 2.1278 2022/07/22 19:10:42 - mmengine - INFO - Epoch(train) [20][2760/3757] lr: 1.0000e-02 eta: 19:36:44 time: 0.2352 data_time: 0.0297 memory: 6108 grad_norm: 5.7205 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2431 loss: 2.2431 2022/07/22 19:10:47 - mmengine - INFO - Epoch(train) [20][2780/3757] lr: 1.0000e-02 eta: 19:36:40 time: 0.2420 data_time: 0.0223 memory: 6108 grad_norm: 5.5548 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1053 loss: 2.1053 2022/07/22 19:10:51 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 1.0000e-02 eta: 19:36:34 time: 0.2216 data_time: 0.0210 memory: 6108 grad_norm: 5.6120 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4283 loss: 2.4283 2022/07/22 19:10:56 - mmengine - INFO - Epoch(train) [20][2820/3757] lr: 1.0000e-02 eta: 19:36:29 time: 0.2229 data_time: 0.0235 memory: 6108 grad_norm: 5.6704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1619 loss: 2.1619 2022/07/22 19:11:01 - mmengine - INFO - Epoch(train) [20][2840/3757] lr: 1.0000e-02 eta: 19:36:27 time: 0.2699 data_time: 0.0172 memory: 6108 grad_norm: 5.4266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9065 loss: 1.9065 2022/07/22 19:11:05 - mmengine - INFO - Epoch(train) [20][2860/3757] lr: 1.0000e-02 eta: 19:36:22 time: 0.2257 data_time: 0.0231 memory: 6108 grad_norm: 5.5460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9834 loss: 1.9834 2022/07/22 19:11:10 - mmengine - INFO - Epoch(train) [20][2880/3757] lr: 1.0000e-02 eta: 19:36:17 time: 0.2303 data_time: 0.0230 memory: 6108 grad_norm: 5.4951 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2576 loss: 2.2576 2022/07/22 19:11:15 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 1.0000e-02 eta: 19:36:11 time: 0.2226 data_time: 0.0217 memory: 6108 grad_norm: 5.4504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9254 loss: 1.9254 2022/07/22 19:11:19 - mmengine - INFO - Epoch(train) [20][2920/3757] lr: 1.0000e-02 eta: 19:36:05 time: 0.2243 data_time: 0.0236 memory: 6108 grad_norm: 5.4326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0094 loss: 2.0094 2022/07/22 19:11:24 - mmengine - INFO - Epoch(train) [20][2940/3757] lr: 1.0000e-02 eta: 19:36:02 time: 0.2532 data_time: 0.0236 memory: 6108 grad_norm: 5.3975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0555 loss: 2.0555 2022/07/22 19:11:29 - mmengine - INFO - Epoch(train) [20][2960/3757] lr: 1.0000e-02 eta: 19:35:57 time: 0.2322 data_time: 0.0228 memory: 6108 grad_norm: 5.6077 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0510 loss: 2.0510 2022/07/22 19:11:33 - mmengine - INFO - Epoch(train) [20][2980/3757] lr: 1.0000e-02 eta: 19:35:53 time: 0.2315 data_time: 0.0292 memory: 6108 grad_norm: 5.3932 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3468 loss: 2.3468 2022/07/22 19:11:38 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 1.0000e-02 eta: 19:35:48 time: 0.2302 data_time: 0.0204 memory: 6108 grad_norm: 5.5403 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2571 loss: 2.2571 2022/07/22 19:11:43 - mmengine - INFO - Epoch(train) [20][3020/3757] lr: 1.0000e-02 eta: 19:35:43 time: 0.2389 data_time: 0.0269 memory: 6108 grad_norm: 5.5002 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1862 loss: 2.1862 2022/07/22 19:11:47 - mmengine - INFO - Epoch(train) [20][3040/3757] lr: 1.0000e-02 eta: 19:35:38 time: 0.2253 data_time: 0.0242 memory: 6108 grad_norm: 5.4649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1916 loss: 2.1916 2022/07/22 19:11:52 - mmengine - INFO - Epoch(train) [20][3060/3757] lr: 1.0000e-02 eta: 19:35:34 time: 0.2468 data_time: 0.0226 memory: 6108 grad_norm: 5.4687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4620 loss: 2.4620 2022/07/22 19:11:57 - mmengine - INFO - Epoch(train) [20][3080/3757] lr: 1.0000e-02 eta: 19:35:30 time: 0.2338 data_time: 0.0235 memory: 6108 grad_norm: 5.5580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9727 loss: 1.9727 2022/07/22 19:12:01 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 1.0000e-02 eta: 19:35:24 time: 0.2249 data_time: 0.0252 memory: 6108 grad_norm: 5.6813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8825 loss: 1.8825 2022/07/22 19:12:06 - mmengine - INFO - Epoch(train) [20][3120/3757] lr: 1.0000e-02 eta: 19:35:19 time: 0.2316 data_time: 0.0294 memory: 6108 grad_norm: 5.5563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0934 loss: 2.0934 2022/07/22 19:12:11 - mmengine - INFO - Epoch(train) [20][3140/3757] lr: 1.0000e-02 eta: 19:35:14 time: 0.2289 data_time: 0.0257 memory: 6108 grad_norm: 5.7007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4920 loss: 2.4920 2022/07/22 19:12:15 - mmengine - INFO - Epoch(train) [20][3160/3757] lr: 1.0000e-02 eta: 19:35:08 time: 0.2213 data_time: 0.0277 memory: 6108 grad_norm: 5.5628 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2746 loss: 2.2746 2022/07/22 19:12:20 - mmengine - INFO - Epoch(train) [20][3180/3757] lr: 1.0000e-02 eta: 19:35:05 time: 0.2525 data_time: 0.0214 memory: 6108 grad_norm: 5.4218 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5181 loss: 2.5181 2022/07/22 19:12:25 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 1.0000e-02 eta: 19:34:59 time: 0.2214 data_time: 0.0190 memory: 6108 grad_norm: 5.4228 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1575 loss: 2.1575 2022/07/22 19:12:29 - mmengine - INFO - Epoch(train) [20][3220/3757] lr: 1.0000e-02 eta: 19:34:54 time: 0.2191 data_time: 0.0234 memory: 6108 grad_norm: 5.4721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0984 loss: 2.0984 2022/07/22 19:12:35 - mmengine - INFO - Epoch(train) [20][3240/3757] lr: 1.0000e-02 eta: 19:34:52 time: 0.2751 data_time: 0.0217 memory: 6108 grad_norm: 5.6864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0665 loss: 2.0665 2022/07/22 19:12:39 - mmengine - INFO - Epoch(train) [20][3260/3757] lr: 1.0000e-02 eta: 19:34:47 time: 0.2219 data_time: 0.0177 memory: 6108 grad_norm: 5.5328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0693 loss: 2.0693 2022/07/22 19:12:44 - mmengine - INFO - Epoch(train) [20][3280/3757] lr: 1.0000e-02 eta: 19:34:41 time: 0.2297 data_time: 0.0307 memory: 6108 grad_norm: 5.6561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2609 loss: 2.2609 2022/07/22 19:12:48 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 1.0000e-02 eta: 19:34:37 time: 0.2330 data_time: 0.0211 memory: 6108 grad_norm: 5.5498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0565 loss: 2.0565 2022/07/22 19:12:53 - mmengine - INFO - Epoch(train) [20][3320/3757] lr: 1.0000e-02 eta: 19:34:33 time: 0.2493 data_time: 0.0192 memory: 6108 grad_norm: 5.4480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9939 loss: 1.9939 2022/07/22 19:12:58 - mmengine - INFO - Epoch(train) [20][3340/3757] lr: 1.0000e-02 eta: 19:34:28 time: 0.2260 data_time: 0.0224 memory: 6108 grad_norm: 5.6429 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4029 loss: 2.4029 2022/07/22 19:13:02 - mmengine - INFO - Epoch(train) [20][3360/3757] lr: 1.0000e-02 eta: 19:34:23 time: 0.2267 data_time: 0.0251 memory: 6108 grad_norm: 5.6354 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2731 loss: 2.2731 2022/07/22 19:13:07 - mmengine - INFO - Epoch(train) [20][3380/3757] lr: 1.0000e-02 eta: 19:34:19 time: 0.2446 data_time: 0.0222 memory: 6108 grad_norm: 5.5393 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0392 loss: 2.0392 2022/07/22 19:13:12 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 1.0000e-02 eta: 19:34:13 time: 0.2248 data_time: 0.0260 memory: 6108 grad_norm: 5.7386 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1281 loss: 2.1281 2022/07/22 19:13:16 - mmengine - INFO - Epoch(train) [20][3420/3757] lr: 1.0000e-02 eta: 19:34:08 time: 0.2249 data_time: 0.0204 memory: 6108 grad_norm: 5.6467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3226 loss: 2.3226 2022/07/22 19:13:21 - mmengine - INFO - Epoch(train) [20][3440/3757] lr: 1.0000e-02 eta: 19:34:04 time: 0.2461 data_time: 0.0176 memory: 6108 grad_norm: 5.4143 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0812 loss: 2.0812 2022/07/22 19:13:26 - mmengine - INFO - Epoch(train) [20][3460/3757] lr: 1.0000e-02 eta: 19:34:00 time: 0.2437 data_time: 0.0237 memory: 6108 grad_norm: 5.6756 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9176 loss: 1.9176 2022/07/22 19:13:31 - mmengine - INFO - Epoch(train) [20][3480/3757] lr: 1.0000e-02 eta: 19:33:55 time: 0.2307 data_time: 0.0223 memory: 6108 grad_norm: 5.4596 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7820 loss: 1.7820 2022/07/22 19:13:35 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 1.0000e-02 eta: 19:33:50 time: 0.2232 data_time: 0.0289 memory: 6108 grad_norm: 5.6295 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0451 loss: 2.0451 2022/07/22 19:13:40 - mmengine - INFO - Epoch(train) [20][3520/3757] lr: 1.0000e-02 eta: 19:33:45 time: 0.2361 data_time: 0.0261 memory: 6108 grad_norm: 5.4388 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3116 loss: 2.3116 2022/07/22 19:13:45 - mmengine - INFO - Epoch(train) [20][3540/3757] lr: 1.0000e-02 eta: 19:33:41 time: 0.2391 data_time: 0.0243 memory: 6108 grad_norm: 5.6286 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2175 loss: 2.2175 2022/07/22 19:13:49 - mmengine - INFO - Epoch(train) [20][3560/3757] lr: 1.0000e-02 eta: 19:33:36 time: 0.2290 data_time: 0.0209 memory: 6108 grad_norm: 5.6598 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7118 loss: 2.7118 2022/07/22 19:13:54 - mmengine - INFO - Epoch(train) [20][3580/3757] lr: 1.0000e-02 eta: 19:33:30 time: 0.2232 data_time: 0.0213 memory: 6108 grad_norm: 5.5321 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3568 loss: 2.3568 2022/07/22 19:13:59 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 1.0000e-02 eta: 19:33:27 time: 0.2475 data_time: 0.0209 memory: 6108 grad_norm: 5.5350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3155 loss: 2.3155 2022/07/22 19:14:02 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:14:03 - mmengine - INFO - Epoch(train) [20][3620/3757] lr: 1.0000e-02 eta: 19:33:21 time: 0.2245 data_time: 0.0257 memory: 6108 grad_norm: 5.7058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2077 loss: 2.2077 2022/07/22 19:14:08 - mmengine - INFO - Epoch(train) [20][3640/3757] lr: 1.0000e-02 eta: 19:33:18 time: 0.2509 data_time: 0.0237 memory: 6108 grad_norm: 5.5330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9604 loss: 1.9604 2022/07/22 19:14:13 - mmengine - INFO - Epoch(train) [20][3660/3757] lr: 1.0000e-02 eta: 19:33:12 time: 0.2244 data_time: 0.0195 memory: 6108 grad_norm: 5.6237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1641 loss: 2.1641 2022/07/22 19:14:18 - mmengine - INFO - Epoch(train) [20][3680/3757] lr: 1.0000e-02 eta: 19:33:09 time: 0.2524 data_time: 0.0251 memory: 6108 grad_norm: 5.6322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2868 loss: 2.2868 2022/07/22 19:14:22 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 1.0000e-02 eta: 19:33:04 time: 0.2271 data_time: 0.0264 memory: 6108 grad_norm: 5.6252 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3055 loss: 2.3055 2022/07/22 19:14:27 - mmengine - INFO - Epoch(train) [20][3720/3757] lr: 1.0000e-02 eta: 19:33:00 time: 0.2396 data_time: 0.0329 memory: 6108 grad_norm: 5.6084 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4188 loss: 2.4188 2022/07/22 19:14:31 - mmengine - INFO - Epoch(train) [20][3740/3757] lr: 1.0000e-02 eta: 19:32:54 time: 0.2193 data_time: 0.0198 memory: 6108 grad_norm: 5.5398 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4511 loss: 2.4511 2022/07/22 19:14:35 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:14:35 - mmengine - INFO - Epoch(train) [20][3757/3757] lr: 1.0000e-02 eta: 19:32:54 time: 0.1986 data_time: 0.0219 memory: 6108 grad_norm: 5.6152 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.9959 loss: 1.9959 2022/07/22 19:14:35 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/07/22 19:14:45 - mmengine - INFO - Epoch(val) [20][20/310] eta: 0:01:24 time: 0.2914 data_time: 0.2118 memory: 1428 2022/07/22 19:14:49 - mmengine - INFO - Epoch(val) [20][40/310] eta: 0:00:50 time: 0.1883 data_time: 0.1107 memory: 1428 2022/07/22 19:14:53 - mmengine - INFO - Epoch(val) [20][60/310] eta: 0:00:54 time: 0.2179 data_time: 0.1450 memory: 1428 2022/07/22 19:14:57 - mmengine - INFO - Epoch(val) [20][80/310] eta: 0:00:46 time: 0.2033 data_time: 0.1282 memory: 1428 2022/07/22 19:15:02 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:00:47 time: 0.2266 data_time: 0.1497 memory: 1428 2022/07/22 19:15:06 - mmengine - INFO - Epoch(val) [20][120/310] eta: 0:00:38 time: 0.2003 data_time: 0.1249 memory: 1428 2022/07/22 19:15:11 - mmengine - INFO - Epoch(val) [20][140/310] eta: 0:00:41 time: 0.2468 data_time: 0.1727 memory: 1428 2022/07/22 19:15:15 - mmengine - INFO - Epoch(val) [20][160/310] eta: 0:00:30 time: 0.2022 data_time: 0.1285 memory: 1428 2022/07/22 19:15:20 - mmengine - INFO - Epoch(val) [20][180/310] eta: 0:00:30 time: 0.2312 data_time: 0.1581 memory: 1428 2022/07/22 19:15:23 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:20 time: 0.1858 data_time: 0.1114 memory: 1428 2022/07/22 19:15:29 - mmengine - INFO - Epoch(val) [20][220/310] eta: 0:00:23 time: 0.2655 data_time: 0.1825 memory: 1428 2022/07/22 19:15:32 - mmengine - INFO - Epoch(val) [20][240/310] eta: 0:00:13 time: 0.1882 data_time: 0.1138 memory: 1428 2022/07/22 19:15:37 - mmengine - INFO - Epoch(val) [20][260/310] eta: 0:00:11 time: 0.2379 data_time: 0.1596 memory: 1428 2022/07/22 19:15:40 - mmengine - INFO - Epoch(val) [20][280/310] eta: 0:00:05 time: 0.1672 data_time: 0.0973 memory: 1428 2022/07/22 19:15:43 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:01 time: 0.1444 data_time: 0.0886 memory: 1428 2022/07/22 19:15:46 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.5355 acc/top5: 0.7812 acc/mean1: 0.5353 2022/07/22 19:15:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_20.pth is removed 2022/07/22 19:15:48 - mmengine - INFO - The best checkpoint with 0.5355 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/07/22 19:15:54 - mmengine - INFO - Epoch(train) [21][20/3757] lr: 1.0000e-02 eta: 19:32:33 time: 0.2804 data_time: 0.0895 memory: 6108 grad_norm: 5.4529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2798 loss: 2.2798 2022/07/22 19:15:58 - mmengine - INFO - Epoch(train) [21][40/3757] lr: 1.0000e-02 eta: 19:32:28 time: 0.2343 data_time: 0.0337 memory: 6108 grad_norm: 5.4943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3066 loss: 2.3066 2022/07/22 19:16:03 - mmengine - INFO - Epoch(train) [21][60/3757] lr: 1.0000e-02 eta: 19:32:23 time: 0.2271 data_time: 0.0219 memory: 6108 grad_norm: 5.5976 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5411 loss: 2.5411 2022/07/22 19:16:08 - mmengine - INFO - Epoch(train) [21][80/3757] lr: 1.0000e-02 eta: 19:32:18 time: 0.2303 data_time: 0.0174 memory: 6108 grad_norm: 5.5490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3151 loss: 2.3151 2022/07/22 19:16:12 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 1.0000e-02 eta: 19:32:13 time: 0.2232 data_time: 0.0179 memory: 6108 grad_norm: 5.5586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1691 loss: 2.1691 2022/07/22 19:16:16 - mmengine - INFO - Epoch(train) [21][120/3757] lr: 1.0000e-02 eta: 19:32:07 time: 0.2214 data_time: 0.0275 memory: 6108 grad_norm: 5.7217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3123 loss: 2.3123 2022/07/22 19:16:21 - mmengine - INFO - Epoch(train) [21][140/3757] lr: 1.0000e-02 eta: 19:32:03 time: 0.2391 data_time: 0.0222 memory: 6108 grad_norm: 5.7132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9395 loss: 1.9395 2022/07/22 19:16:26 - mmengine - INFO - Epoch(train) [21][160/3757] lr: 1.0000e-02 eta: 19:31:59 time: 0.2414 data_time: 0.0273 memory: 6108 grad_norm: 5.5629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0981 loss: 2.0981 2022/07/22 19:16:31 - mmengine - INFO - Epoch(train) [21][180/3757] lr: 1.0000e-02 eta: 19:31:54 time: 0.2324 data_time: 0.0272 memory: 6108 grad_norm: 5.5906 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0981 loss: 2.0981 2022/07/22 19:16:35 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 1.0000e-02 eta: 19:31:48 time: 0.2256 data_time: 0.0190 memory: 6108 grad_norm: 5.7677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2324 loss: 2.2324 2022/07/22 19:16:40 - mmengine - INFO - Epoch(train) [21][220/3757] lr: 1.0000e-02 eta: 19:31:43 time: 0.2246 data_time: 0.0222 memory: 6108 grad_norm: 5.7228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2999 loss: 2.2999 2022/07/22 19:16:44 - mmengine - INFO - Epoch(train) [21][240/3757] lr: 1.0000e-02 eta: 19:31:38 time: 0.2268 data_time: 0.0278 memory: 6108 grad_norm: 5.5363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1088 loss: 2.1088 2022/07/22 19:16:49 - mmengine - INFO - Epoch(train) [21][260/3757] lr: 1.0000e-02 eta: 19:31:34 time: 0.2477 data_time: 0.0183 memory: 6108 grad_norm: 5.4494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2536 loss: 2.2536 2022/07/22 19:16:54 - mmengine - INFO - Epoch(train) [21][280/3757] lr: 1.0000e-02 eta: 19:31:31 time: 0.2540 data_time: 0.0197 memory: 6108 grad_norm: 5.5990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2736 loss: 2.2736 2022/07/22 19:16:59 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 1.0000e-02 eta: 19:31:27 time: 0.2428 data_time: 0.0241 memory: 6108 grad_norm: 5.5581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2517 loss: 2.2517 2022/07/22 19:17:04 - mmengine - INFO - Epoch(train) [21][320/3757] lr: 1.0000e-02 eta: 19:31:21 time: 0.2210 data_time: 0.0220 memory: 6108 grad_norm: 5.5209 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1176 loss: 2.1176 2022/07/22 19:17:08 - mmengine - INFO - Epoch(train) [21][340/3757] lr: 1.0000e-02 eta: 19:31:16 time: 0.2282 data_time: 0.0210 memory: 6108 grad_norm: 5.5724 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9577 loss: 1.9577 2022/07/22 19:17:13 - mmengine - INFO - Epoch(train) [21][360/3757] lr: 1.0000e-02 eta: 19:31:12 time: 0.2454 data_time: 0.0227 memory: 6108 grad_norm: 5.5875 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0672 loss: 2.0672 2022/07/22 19:17:18 - mmengine - INFO - Epoch(train) [21][380/3757] lr: 1.0000e-02 eta: 19:31:08 time: 0.2388 data_time: 0.0199 memory: 6108 grad_norm: 5.5690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9803 loss: 1.9803 2022/07/22 19:17:22 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 1.0000e-02 eta: 19:31:03 time: 0.2267 data_time: 0.0232 memory: 6108 grad_norm: 5.5402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2554 loss: 2.2554 2022/07/22 19:17:27 - mmengine - INFO - Epoch(train) [21][420/3757] lr: 1.0000e-02 eta: 19:30:57 time: 0.2238 data_time: 0.0211 memory: 6108 grad_norm: 5.5067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2250 loss: 2.2250 2022/07/22 19:17:32 - mmengine - INFO - Epoch(train) [21][440/3757] lr: 1.0000e-02 eta: 19:30:53 time: 0.2458 data_time: 0.0253 memory: 6108 grad_norm: 5.4488 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8473 loss: 1.8473 2022/07/22 19:17:36 - mmengine - INFO - Epoch(train) [21][460/3757] lr: 1.0000e-02 eta: 19:30:48 time: 0.2241 data_time: 0.0237 memory: 6108 grad_norm: 5.6074 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9123 loss: 1.9123 2022/07/22 19:17:41 - mmengine - INFO - Epoch(train) [21][480/3757] lr: 1.0000e-02 eta: 19:30:44 time: 0.2362 data_time: 0.0278 memory: 6108 grad_norm: 5.4788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1985 loss: 2.1985 2022/07/22 19:17:46 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 1.0000e-02 eta: 19:30:38 time: 0.2267 data_time: 0.0237 memory: 6108 grad_norm: 5.5589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1475 loss: 2.1475 2022/07/22 19:17:50 - mmengine - INFO - Epoch(train) [21][520/3757] lr: 1.0000e-02 eta: 19:30:33 time: 0.2310 data_time: 0.0185 memory: 6108 grad_norm: 5.4198 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9693 loss: 1.9693 2022/07/22 19:17:55 - mmengine - INFO - Epoch(train) [21][540/3757] lr: 1.0000e-02 eta: 19:30:29 time: 0.2332 data_time: 0.0313 memory: 6108 grad_norm: 5.4334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/07/22 19:18:00 - mmengine - INFO - Epoch(train) [21][560/3757] lr: 1.0000e-02 eta: 19:30:24 time: 0.2354 data_time: 0.0232 memory: 6108 grad_norm: 5.5793 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1028 loss: 2.1028 2022/07/22 19:18:04 - mmengine - INFO - Epoch(train) [21][580/3757] lr: 1.0000e-02 eta: 19:30:18 time: 0.2204 data_time: 0.0270 memory: 6108 grad_norm: 5.4455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2125 loss: 2.2125 2022/07/22 19:18:09 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 1.0000e-02 eta: 19:30:13 time: 0.2263 data_time: 0.0228 memory: 6108 grad_norm: 5.5451 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1375 loss: 2.1375 2022/07/22 19:18:13 - mmengine - INFO - Epoch(train) [21][620/3757] lr: 1.0000e-02 eta: 19:30:08 time: 0.2335 data_time: 0.0208 memory: 6108 grad_norm: 5.4908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0718 loss: 2.0718 2022/07/22 19:18:18 - mmengine - INFO - Epoch(train) [21][640/3757] lr: 1.0000e-02 eta: 19:30:04 time: 0.2376 data_time: 0.0235 memory: 6108 grad_norm: 5.5784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2037 loss: 2.2037 2022/07/22 19:18:23 - mmengine - INFO - Epoch(train) [21][660/3757] lr: 1.0000e-02 eta: 19:29:59 time: 0.2294 data_time: 0.0268 memory: 6108 grad_norm: 5.7102 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7374 loss: 1.7374 2022/07/22 19:18:27 - mmengine - INFO - Epoch(train) [21][680/3757] lr: 1.0000e-02 eta: 19:29:53 time: 0.2270 data_time: 0.0275 memory: 6108 grad_norm: 5.7092 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2361 loss: 2.2361 2022/07/22 19:18:32 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 1.0000e-02 eta: 19:29:48 time: 0.2286 data_time: 0.0198 memory: 6108 grad_norm: 5.5769 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3115 loss: 2.3115 2022/07/22 19:18:36 - mmengine - INFO - Epoch(train) [21][720/3757] lr: 1.0000e-02 eta: 19:29:43 time: 0.2263 data_time: 0.0305 memory: 6108 grad_norm: 5.4327 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0574 loss: 2.0574 2022/07/22 19:18:41 - mmengine - INFO - Epoch(train) [21][740/3757] lr: 1.0000e-02 eta: 19:29:40 time: 0.2543 data_time: 0.0266 memory: 6108 grad_norm: 5.5072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0914 loss: 2.0914 2022/07/22 19:18:46 - mmengine - INFO - Epoch(train) [21][760/3757] lr: 1.0000e-02 eta: 19:29:37 time: 0.2513 data_time: 0.0202 memory: 6108 grad_norm: 5.3809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9308 loss: 1.9308 2022/07/22 19:18:51 - mmengine - INFO - Epoch(train) [21][780/3757] lr: 1.0000e-02 eta: 19:29:31 time: 0.2240 data_time: 0.0231 memory: 6108 grad_norm: 5.6773 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1928 loss: 2.1928 2022/07/22 19:18:55 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 1.0000e-02 eta: 19:29:26 time: 0.2262 data_time: 0.0274 memory: 6108 grad_norm: 5.3485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9712 loss: 1.9712 2022/07/22 19:19:00 - mmengine - INFO - Epoch(train) [21][820/3757] lr: 1.0000e-02 eta: 19:29:22 time: 0.2444 data_time: 0.0250 memory: 6108 grad_norm: 5.6824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1814 loss: 2.1814 2022/07/22 19:19:05 - mmengine - INFO - Epoch(train) [21][840/3757] lr: 1.0000e-02 eta: 19:29:16 time: 0.2227 data_time: 0.0268 memory: 6108 grad_norm: 5.6092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2166 loss: 2.2166 2022/07/22 19:19:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:19:09 - mmengine - INFO - Epoch(train) [21][860/3757] lr: 1.0000e-02 eta: 19:29:12 time: 0.2339 data_time: 0.0197 memory: 6108 grad_norm: 5.5001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9168 loss: 1.9168 2022/07/22 19:19:14 - mmengine - INFO - Epoch(train) [21][880/3757] lr: 1.0000e-02 eta: 19:29:07 time: 0.2391 data_time: 0.0260 memory: 6108 grad_norm: 5.7125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1438 loss: 2.1438 2022/07/22 19:19:19 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 1.0000e-02 eta: 19:29:03 time: 0.2353 data_time: 0.0254 memory: 6108 grad_norm: 5.3764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0048 loss: 2.0048 2022/07/22 19:19:23 - mmengine - INFO - Epoch(train) [21][920/3757] lr: 1.0000e-02 eta: 19:28:57 time: 0.2238 data_time: 0.0196 memory: 6108 grad_norm: 5.3577 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3071 loss: 2.3071 2022/07/22 19:19:28 - mmengine - INFO - Epoch(train) [21][940/3757] lr: 1.0000e-02 eta: 19:28:52 time: 0.2284 data_time: 0.0256 memory: 6108 grad_norm: 5.7066 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2208 loss: 2.2208 2022/07/22 19:19:33 - mmengine - INFO - Epoch(train) [21][960/3757] lr: 1.0000e-02 eta: 19:28:48 time: 0.2384 data_time: 0.0213 memory: 6108 grad_norm: 5.4745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2193 loss: 2.2193 2022/07/22 19:19:38 - mmengine - INFO - Epoch(train) [21][980/3757] lr: 1.0000e-02 eta: 19:28:47 time: 0.2767 data_time: 0.0663 memory: 6108 grad_norm: 5.6458 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2207 loss: 2.2207 2022/07/22 19:19:43 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 1.0000e-02 eta: 19:28:42 time: 0.2335 data_time: 0.0376 memory: 6108 grad_norm: 5.7046 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3939 loss: 2.3939 2022/07/22 19:19:48 - mmengine - INFO - Epoch(train) [21][1020/3757] lr: 1.0000e-02 eta: 19:28:37 time: 0.2301 data_time: 0.0248 memory: 6108 grad_norm: 5.6587 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4378 loss: 2.4378 2022/07/22 19:19:53 - mmengine - INFO - Epoch(train) [21][1040/3757] lr: 1.0000e-02 eta: 19:28:35 time: 0.2649 data_time: 0.0169 memory: 6108 grad_norm: 5.4369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1638 loss: 2.1638 2022/07/22 19:19:58 - mmengine - INFO - Epoch(train) [21][1060/3757] lr: 1.0000e-02 eta: 19:28:30 time: 0.2298 data_time: 0.0221 memory: 6108 grad_norm: 5.3312 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2512 loss: 2.2512 2022/07/22 19:20:02 - mmengine - INFO - Epoch(train) [21][1080/3757] lr: 1.0000e-02 eta: 19:28:26 time: 0.2430 data_time: 0.0246 memory: 6108 grad_norm: 5.5712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2820 loss: 2.2820 2022/07/22 19:20:07 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 1.0000e-02 eta: 19:28:21 time: 0.2318 data_time: 0.0207 memory: 6108 grad_norm: 5.5433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1797 loss: 2.1797 2022/07/22 19:20:12 - mmengine - INFO - Epoch(train) [21][1120/3757] lr: 1.0000e-02 eta: 19:28:15 time: 0.2231 data_time: 0.0228 memory: 6108 grad_norm: 5.5776 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0542 loss: 2.0542 2022/07/22 19:20:16 - mmengine - INFO - Epoch(train) [21][1140/3757] lr: 1.0000e-02 eta: 19:28:11 time: 0.2453 data_time: 0.0240 memory: 6108 grad_norm: 5.6259 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2330 loss: 2.2330 2022/07/22 19:20:21 - mmengine - INFO - Epoch(train) [21][1160/3757] lr: 1.0000e-02 eta: 19:28:07 time: 0.2333 data_time: 0.0244 memory: 6108 grad_norm: 5.4631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0551 loss: 2.0551 2022/07/22 19:20:26 - mmengine - INFO - Epoch(train) [21][1180/3757] lr: 1.0000e-02 eta: 19:28:02 time: 0.2388 data_time: 0.0262 memory: 6108 grad_norm: 5.4077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0907 loss: 2.0907 2022/07/22 19:20:31 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 1.0000e-02 eta: 19:27:58 time: 0.2350 data_time: 0.0220 memory: 6108 grad_norm: 5.6390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1486 loss: 2.1486 2022/07/22 19:20:35 - mmengine - INFO - Epoch(train) [21][1220/3757] lr: 1.0000e-02 eta: 19:27:53 time: 0.2361 data_time: 0.0224 memory: 6108 grad_norm: 5.3548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8968 loss: 1.8968 2022/07/22 19:20:40 - mmengine - INFO - Epoch(train) [21][1240/3757] lr: 1.0000e-02 eta: 19:27:48 time: 0.2329 data_time: 0.0242 memory: 6108 grad_norm: 5.5477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8613 loss: 1.8613 2022/07/22 19:20:45 - mmengine - INFO - Epoch(train) [21][1260/3757] lr: 1.0000e-02 eta: 19:27:43 time: 0.2250 data_time: 0.0265 memory: 6108 grad_norm: 5.4666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3719 loss: 2.3719 2022/07/22 19:20:49 - mmengine - INFO - Epoch(train) [21][1280/3757] lr: 1.0000e-02 eta: 19:27:38 time: 0.2295 data_time: 0.0218 memory: 6108 grad_norm: 5.4833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3443 loss: 2.3443 2022/07/22 19:20:54 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 1.0000e-02 eta: 19:27:34 time: 0.2444 data_time: 0.0241 memory: 6108 grad_norm: 5.5905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0107 loss: 2.0107 2022/07/22 19:20:59 - mmengine - INFO - Epoch(train) [21][1320/3757] lr: 1.0000e-02 eta: 19:27:30 time: 0.2378 data_time: 0.0212 memory: 6108 grad_norm: 5.4584 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3406 loss: 2.3406 2022/07/22 19:21:04 - mmengine - INFO - Epoch(train) [21][1340/3757] lr: 1.0000e-02 eta: 19:27:25 time: 0.2375 data_time: 0.0192 memory: 6108 grad_norm: 5.3844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1026 loss: 2.1026 2022/07/22 19:21:08 - mmengine - INFO - Epoch(train) [21][1360/3757] lr: 1.0000e-02 eta: 19:27:20 time: 0.2292 data_time: 0.0221 memory: 6108 grad_norm: 5.6255 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1602 loss: 2.1602 2022/07/22 19:21:13 - mmengine - INFO - Epoch(train) [21][1380/3757] lr: 1.0000e-02 eta: 19:27:16 time: 0.2335 data_time: 0.0190 memory: 6108 grad_norm: 5.7218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5272 loss: 2.5272 2022/07/22 19:21:18 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 1.0000e-02 eta: 19:27:11 time: 0.2355 data_time: 0.0239 memory: 6108 grad_norm: 5.4456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0378 loss: 2.0378 2022/07/22 19:21:22 - mmengine - INFO - Epoch(train) [21][1420/3757] lr: 1.0000e-02 eta: 19:27:06 time: 0.2290 data_time: 0.0251 memory: 6108 grad_norm: 5.5783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1779 loss: 2.1779 2022/07/22 19:21:27 - mmengine - INFO - Epoch(train) [21][1440/3757] lr: 1.0000e-02 eta: 19:27:02 time: 0.2387 data_time: 0.0211 memory: 6108 grad_norm: 5.5511 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4420 loss: 2.4420 2022/07/22 19:21:32 - mmengine - INFO - Epoch(train) [21][1460/3757] lr: 1.0000e-02 eta: 19:26:56 time: 0.2292 data_time: 0.0208 memory: 6108 grad_norm: 5.5047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0262 loss: 2.0262 2022/07/22 19:21:36 - mmengine - INFO - Epoch(train) [21][1480/3757] lr: 1.0000e-02 eta: 19:26:53 time: 0.2491 data_time: 0.0224 memory: 6108 grad_norm: 5.6406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/07/22 19:21:41 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 1.0000e-02 eta: 19:26:48 time: 0.2321 data_time: 0.0221 memory: 6108 grad_norm: 5.5040 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1056 loss: 2.1056 2022/07/22 19:21:46 - mmengine - INFO - Epoch(train) [21][1520/3757] lr: 1.0000e-02 eta: 19:26:42 time: 0.2180 data_time: 0.0197 memory: 6108 grad_norm: 5.5818 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4965 loss: 2.4965 2022/07/22 19:21:50 - mmengine - INFO - Epoch(train) [21][1540/3757] lr: 1.0000e-02 eta: 19:26:37 time: 0.2249 data_time: 0.0250 memory: 6108 grad_norm: 5.5637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9457 loss: 1.9457 2022/07/22 19:21:55 - mmengine - INFO - Epoch(train) [21][1560/3757] lr: 1.0000e-02 eta: 19:26:32 time: 0.2291 data_time: 0.0190 memory: 6108 grad_norm: 5.6543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0931 loss: 2.0931 2022/07/22 19:22:00 - mmengine - INFO - Epoch(train) [21][1580/3757] lr: 1.0000e-02 eta: 19:26:29 time: 0.2551 data_time: 0.0223 memory: 6108 grad_norm: 5.6159 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8573 loss: 1.8573 2022/07/22 19:22:04 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 1.0000e-02 eta: 19:26:23 time: 0.2219 data_time: 0.0230 memory: 6108 grad_norm: 5.7974 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3532 loss: 2.3532 2022/07/22 19:22:09 - mmengine - INFO - Epoch(train) [21][1620/3757] lr: 1.0000e-02 eta: 19:26:18 time: 0.2295 data_time: 0.0236 memory: 6108 grad_norm: 5.7406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2179 loss: 2.2179 2022/07/22 19:22:14 - mmengine - INFO - Epoch(train) [21][1640/3757] lr: 1.0000e-02 eta: 19:26:15 time: 0.2590 data_time: 0.0221 memory: 6108 grad_norm: 5.5252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9718 loss: 1.9718 2022/07/22 19:22:19 - mmengine - INFO - Epoch(train) [21][1660/3757] lr: 1.0000e-02 eta: 19:26:11 time: 0.2419 data_time: 0.0344 memory: 6108 grad_norm: 5.6126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2965 loss: 2.2965 2022/07/22 19:22:23 - mmengine - INFO - Epoch(train) [21][1680/3757] lr: 1.0000e-02 eta: 19:26:06 time: 0.2272 data_time: 0.0291 memory: 6108 grad_norm: 5.4590 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1572 loss: 2.1572 2022/07/22 19:22:28 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 1.0000e-02 eta: 19:26:02 time: 0.2366 data_time: 0.0249 memory: 6108 grad_norm: 5.6369 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0119 loss: 2.0119 2022/07/22 19:22:33 - mmengine - INFO - Epoch(train) [21][1720/3757] lr: 1.0000e-02 eta: 19:25:56 time: 0.2292 data_time: 0.0263 memory: 6108 grad_norm: 5.6398 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4426 loss: 2.4426 2022/07/22 19:22:37 - mmengine - INFO - Epoch(train) [21][1740/3757] lr: 1.0000e-02 eta: 19:25:51 time: 0.2230 data_time: 0.0234 memory: 6108 grad_norm: 5.4949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2563 loss: 2.2563 2022/07/22 19:22:42 - mmengine - INFO - Epoch(train) [21][1760/3757] lr: 1.0000e-02 eta: 19:25:47 time: 0.2387 data_time: 0.0236 memory: 6108 grad_norm: 5.7108 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1522 loss: 2.1522 2022/07/22 19:22:46 - mmengine - INFO - Epoch(train) [21][1780/3757] lr: 1.0000e-02 eta: 19:25:41 time: 0.2262 data_time: 0.0280 memory: 6108 grad_norm: 5.6647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1992 loss: 2.1992 2022/07/22 19:22:51 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 1.0000e-02 eta: 19:25:36 time: 0.2243 data_time: 0.0200 memory: 6108 grad_norm: 5.5752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2861 loss: 2.2861 2022/07/22 19:22:56 - mmengine - INFO - Epoch(train) [21][1820/3757] lr: 1.0000e-02 eta: 19:25:31 time: 0.2328 data_time: 0.0208 memory: 6108 grad_norm: 5.5602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0035 loss: 2.0035 2022/07/22 19:23:01 - mmengine - INFO - Epoch(train) [21][1840/3757] lr: 1.0000e-02 eta: 19:25:27 time: 0.2454 data_time: 0.0221 memory: 6108 grad_norm: 5.6671 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3693 loss: 2.3693 2022/07/22 19:23:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:23:05 - mmengine - INFO - Epoch(train) [21][1860/3757] lr: 1.0000e-02 eta: 19:25:22 time: 0.2315 data_time: 0.0285 memory: 6108 grad_norm: 5.3901 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8132 loss: 1.8132 2022/07/22 19:23:10 - mmengine - INFO - Epoch(train) [21][1880/3757] lr: 1.0000e-02 eta: 19:25:17 time: 0.2264 data_time: 0.0188 memory: 6108 grad_norm: 5.6256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1709 loss: 2.1709 2022/07/22 19:23:14 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 1.0000e-02 eta: 19:25:12 time: 0.2342 data_time: 0.0221 memory: 6108 grad_norm: 5.6559 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1691 loss: 2.1691 2022/07/22 19:23:20 - mmengine - INFO - Epoch(train) [21][1920/3757] lr: 1.0000e-02 eta: 19:25:10 time: 0.2614 data_time: 0.0198 memory: 6108 grad_norm: 5.5728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9678 loss: 1.9678 2022/07/22 19:23:24 - mmengine - INFO - Epoch(train) [21][1940/3757] lr: 1.0000e-02 eta: 19:25:04 time: 0.2201 data_time: 0.0224 memory: 6108 grad_norm: 5.3448 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1657 loss: 2.1657 2022/07/22 19:23:29 - mmengine - INFO - Epoch(train) [21][1960/3757] lr: 1.0000e-02 eta: 19:24:59 time: 0.2254 data_time: 0.0257 memory: 6108 grad_norm: 5.3235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2608 loss: 2.2608 2022/07/22 19:23:34 - mmengine - INFO - Epoch(train) [21][1980/3757] lr: 1.0000e-02 eta: 19:24:55 time: 0.2467 data_time: 0.0465 memory: 6108 grad_norm: 5.4587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1014 loss: 2.1014 2022/07/22 19:23:38 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 1.0000e-02 eta: 19:24:51 time: 0.2436 data_time: 0.0199 memory: 6108 grad_norm: 5.4865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1047 loss: 2.1047 2022/07/22 19:23:43 - mmengine - INFO - Epoch(train) [21][2020/3757] lr: 1.0000e-02 eta: 19:24:46 time: 0.2241 data_time: 0.0271 memory: 6108 grad_norm: 5.3617 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0235 loss: 2.0235 2022/07/22 19:23:47 - mmengine - INFO - Epoch(train) [21][2040/3757] lr: 1.0000e-02 eta: 19:24:41 time: 0.2292 data_time: 0.0186 memory: 6108 grad_norm: 5.4865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/07/22 19:23:52 - mmengine - INFO - Epoch(train) [21][2060/3757] lr: 1.0000e-02 eta: 19:24:35 time: 0.2266 data_time: 0.0248 memory: 6108 grad_norm: 5.6025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1566 loss: 2.1566 2022/07/22 19:23:56 - mmengine - INFO - Epoch(train) [21][2080/3757] lr: 1.0000e-02 eta: 19:24:30 time: 0.2231 data_time: 0.0234 memory: 6108 grad_norm: 5.5599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1567 loss: 2.1567 2022/07/22 19:24:02 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 1.0000e-02 eta: 19:24:27 time: 0.2577 data_time: 0.0211 memory: 6108 grad_norm: 5.5678 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0244 loss: 2.0244 2022/07/22 19:24:06 - mmengine - INFO - Epoch(train) [21][2120/3757] lr: 1.0000e-02 eta: 19:24:22 time: 0.2323 data_time: 0.0217 memory: 6108 grad_norm: 5.5171 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9952 loss: 1.9952 2022/07/22 19:24:11 - mmengine - INFO - Epoch(train) [21][2140/3757] lr: 1.0000e-02 eta: 19:24:17 time: 0.2284 data_time: 0.0323 memory: 6108 grad_norm: 5.5305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2160 loss: 2.2160 2022/07/22 19:24:16 - mmengine - INFO - Epoch(train) [21][2160/3757] lr: 1.0000e-02 eta: 19:24:12 time: 0.2325 data_time: 0.0217 memory: 6108 grad_norm: 5.5477 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9681 loss: 1.9681 2022/07/22 19:24:20 - mmengine - INFO - Epoch(train) [21][2180/3757] lr: 1.0000e-02 eta: 19:24:08 time: 0.2360 data_time: 0.0225 memory: 6108 grad_norm: 5.5703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0799 loss: 2.0799 2022/07/22 19:24:25 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 1.0000e-02 eta: 19:24:02 time: 0.2279 data_time: 0.0215 memory: 6108 grad_norm: 5.7026 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2366 loss: 2.2366 2022/07/22 19:24:29 - mmengine - INFO - Epoch(train) [21][2220/3757] lr: 1.0000e-02 eta: 19:23:57 time: 0.2242 data_time: 0.0232 memory: 6108 grad_norm: 5.4251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9268 loss: 1.9268 2022/07/22 19:24:34 - mmengine - INFO - Epoch(train) [21][2240/3757] lr: 1.0000e-02 eta: 19:23:53 time: 0.2402 data_time: 0.0167 memory: 6108 grad_norm: 5.6321 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9772 loss: 1.9772 2022/07/22 19:24:39 - mmengine - INFO - Epoch(train) [21][2260/3757] lr: 1.0000e-02 eta: 19:23:48 time: 0.2303 data_time: 0.0283 memory: 6108 grad_norm: 5.6426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3141 loss: 2.3141 2022/07/22 19:24:43 - mmengine - INFO - Epoch(train) [21][2280/3757] lr: 1.0000e-02 eta: 19:23:42 time: 0.2227 data_time: 0.0173 memory: 6108 grad_norm: 5.4296 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0257 loss: 2.0257 2022/07/22 19:24:48 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 1.0000e-02 eta: 19:23:37 time: 0.2268 data_time: 0.0234 memory: 6108 grad_norm: 5.6346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3279 loss: 2.3279 2022/07/22 19:24:53 - mmengine - INFO - Epoch(train) [21][2320/3757] lr: 1.0000e-02 eta: 19:23:34 time: 0.2523 data_time: 0.0240 memory: 6108 grad_norm: 5.7742 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1875 loss: 2.1875 2022/07/22 19:24:57 - mmengine - INFO - Epoch(train) [21][2340/3757] lr: 1.0000e-02 eta: 19:23:29 time: 0.2320 data_time: 0.0184 memory: 6108 grad_norm: 5.8872 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3328 loss: 2.3328 2022/07/22 19:25:02 - mmengine - INFO - Epoch(train) [21][2360/3757] lr: 1.0000e-02 eta: 19:23:24 time: 0.2343 data_time: 0.0231 memory: 6108 grad_norm: 5.7154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2128 loss: 2.2128 2022/07/22 19:25:07 - mmengine - INFO - Epoch(train) [21][2380/3757] lr: 1.0000e-02 eta: 19:23:20 time: 0.2336 data_time: 0.0290 memory: 6108 grad_norm: 5.7442 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5372 loss: 2.5372 2022/07/22 19:25:11 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 1.0000e-02 eta: 19:23:14 time: 0.2277 data_time: 0.0227 memory: 6108 grad_norm: 5.4362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3348 loss: 2.3348 2022/07/22 19:25:16 - mmengine - INFO - Epoch(train) [21][2420/3757] lr: 1.0000e-02 eta: 19:23:09 time: 0.2214 data_time: 0.0212 memory: 6108 grad_norm: 5.4976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0401 loss: 2.0401 2022/07/22 19:25:21 - mmengine - INFO - Epoch(train) [21][2440/3757] lr: 1.0000e-02 eta: 19:23:05 time: 0.2401 data_time: 0.0247 memory: 6108 grad_norm: 5.7118 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5331 loss: 2.5331 2022/07/22 19:25:25 - mmengine - INFO - Epoch(train) [21][2460/3757] lr: 1.0000e-02 eta: 19:23:00 time: 0.2394 data_time: 0.0237 memory: 6108 grad_norm: 5.5769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0441 loss: 2.0441 2022/07/22 19:25:30 - mmengine - INFO - Epoch(train) [21][2480/3757] lr: 1.0000e-02 eta: 19:22:56 time: 0.2388 data_time: 0.0209 memory: 6108 grad_norm: 5.6850 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1641 loss: 2.1641 2022/07/22 19:25:35 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 1.0000e-02 eta: 19:22:52 time: 0.2427 data_time: 0.0232 memory: 6108 grad_norm: 5.4744 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1926 loss: 2.1926 2022/07/22 19:25:40 - mmengine - INFO - Epoch(train) [21][2520/3757] lr: 1.0000e-02 eta: 19:22:48 time: 0.2466 data_time: 0.0266 memory: 6108 grad_norm: 5.4674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3032 loss: 2.3032 2022/07/22 19:25:45 - mmengine - INFO - Epoch(train) [21][2540/3757] lr: 1.0000e-02 eta: 19:22:43 time: 0.2254 data_time: 0.0204 memory: 6108 grad_norm: 5.5574 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4932 loss: 2.4932 2022/07/22 19:25:49 - mmengine - INFO - Epoch(train) [21][2560/3757] lr: 1.0000e-02 eta: 19:22:38 time: 0.2355 data_time: 0.0272 memory: 6108 grad_norm: 5.5302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0818 loss: 2.0818 2022/07/22 19:25:54 - mmengine - INFO - Epoch(train) [21][2580/3757] lr: 1.0000e-02 eta: 19:22:33 time: 0.2232 data_time: 0.0198 memory: 6108 grad_norm: 5.5422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0278 loss: 2.0278 2022/07/22 19:25:58 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 1.0000e-02 eta: 19:22:28 time: 0.2311 data_time: 0.0250 memory: 6108 grad_norm: 5.4311 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2390 loss: 2.2390 2022/07/22 19:26:03 - mmengine - INFO - Epoch(train) [21][2620/3757] lr: 1.0000e-02 eta: 19:22:23 time: 0.2259 data_time: 0.0237 memory: 6108 grad_norm: 5.5129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9441 loss: 1.9441 2022/07/22 19:26:08 - mmengine - INFO - Epoch(train) [21][2640/3757] lr: 1.0000e-02 eta: 19:22:18 time: 0.2337 data_time: 0.0235 memory: 6108 grad_norm: 5.5860 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/07/22 19:26:12 - mmengine - INFO - Epoch(train) [21][2660/3757] lr: 1.0000e-02 eta: 19:22:14 time: 0.2409 data_time: 0.0215 memory: 6108 grad_norm: 5.4800 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4017 loss: 2.4017 2022/07/22 19:26:18 - mmengine - INFO - Epoch(train) [21][2680/3757] lr: 1.0000e-02 eta: 19:22:11 time: 0.2563 data_time: 0.0197 memory: 6108 grad_norm: 5.5167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1482 loss: 2.1482 2022/07/22 19:26:22 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 1.0000e-02 eta: 19:22:06 time: 0.2350 data_time: 0.0192 memory: 6108 grad_norm: 5.5242 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0624 loss: 2.0624 2022/07/22 19:26:27 - mmengine - INFO - Epoch(train) [21][2720/3757] lr: 1.0000e-02 eta: 19:22:01 time: 0.2235 data_time: 0.0215 memory: 6108 grad_norm: 5.5086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0480 loss: 2.0480 2022/07/22 19:26:31 - mmengine - INFO - Epoch(train) [21][2740/3757] lr: 1.0000e-02 eta: 19:21:56 time: 0.2306 data_time: 0.0239 memory: 6108 grad_norm: 5.5896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1926 loss: 2.1926 2022/07/22 19:26:36 - mmengine - INFO - Epoch(train) [21][2760/3757] lr: 1.0000e-02 eta: 19:21:51 time: 0.2322 data_time: 0.0179 memory: 6108 grad_norm: 5.5611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4623 loss: 2.4623 2022/07/22 19:26:41 - mmengine - INFO - Epoch(train) [21][2780/3757] lr: 1.0000e-02 eta: 19:21:46 time: 0.2306 data_time: 0.0237 memory: 6108 grad_norm: 5.5295 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1339 loss: 2.1339 2022/07/22 19:26:46 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 1.0000e-02 eta: 19:21:42 time: 0.2469 data_time: 0.0216 memory: 6108 grad_norm: 5.4948 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1210 loss: 2.1210 2022/07/22 19:26:50 - mmengine - INFO - Epoch(train) [21][2820/3757] lr: 1.0000e-02 eta: 19:21:38 time: 0.2390 data_time: 0.0169 memory: 6108 grad_norm: 5.6188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9878 loss: 1.9878 2022/07/22 19:26:55 - mmengine - INFO - Epoch(train) [21][2840/3757] lr: 1.0000e-02 eta: 19:21:33 time: 0.2299 data_time: 0.0226 memory: 6108 grad_norm: 5.6458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0989 loss: 2.0989 2022/07/22 19:27:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:27:00 - mmengine - INFO - Epoch(train) [21][2860/3757] lr: 1.0000e-02 eta: 19:21:29 time: 0.2435 data_time: 0.0224 memory: 6108 grad_norm: 5.4516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2054 loss: 2.2054 2022/07/22 19:27:05 - mmengine - INFO - Epoch(train) [21][2880/3757] lr: 1.0000e-02 eta: 19:21:24 time: 0.2317 data_time: 0.0207 memory: 6108 grad_norm: 5.6873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2867 loss: 2.2867 2022/07/22 19:27:09 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 1.0000e-02 eta: 19:21:19 time: 0.2324 data_time: 0.0162 memory: 6108 grad_norm: 5.4639 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2314 loss: 2.2314 2022/07/22 19:27:14 - mmengine - INFO - Epoch(train) [21][2920/3757] lr: 1.0000e-02 eta: 19:21:16 time: 0.2493 data_time: 0.0205 memory: 6108 grad_norm: 5.5573 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2512 loss: 2.2512 2022/07/22 19:27:19 - mmengine - INFO - Epoch(train) [21][2940/3757] lr: 1.0000e-02 eta: 19:21:10 time: 0.2267 data_time: 0.0174 memory: 6108 grad_norm: 5.4632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0582 loss: 2.0582 2022/07/22 19:27:23 - mmengine - INFO - Epoch(train) [21][2960/3757] lr: 1.0000e-02 eta: 19:21:06 time: 0.2382 data_time: 0.0201 memory: 6108 grad_norm: 5.4926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9495 loss: 1.9495 2022/07/22 19:27:28 - mmengine - INFO - Epoch(train) [21][2980/3757] lr: 1.0000e-02 eta: 19:21:02 time: 0.2405 data_time: 0.0231 memory: 6108 grad_norm: 5.4255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0742 loss: 2.0742 2022/07/22 19:27:33 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 1.0000e-02 eta: 19:20:57 time: 0.2304 data_time: 0.0194 memory: 6108 grad_norm: 5.3160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0627 loss: 2.0627 2022/07/22 19:27:37 - mmengine - INFO - Epoch(train) [21][3020/3757] lr: 1.0000e-02 eta: 19:20:51 time: 0.2230 data_time: 0.0198 memory: 6108 grad_norm: 5.5618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0663 loss: 2.0663 2022/07/22 19:27:42 - mmengine - INFO - Epoch(train) [21][3040/3757] lr: 1.0000e-02 eta: 19:20:46 time: 0.2280 data_time: 0.0216 memory: 6108 grad_norm: 5.5704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2110 loss: 2.2110 2022/07/22 19:27:47 - mmengine - INFO - Epoch(train) [21][3060/3757] lr: 1.0000e-02 eta: 19:20:41 time: 0.2297 data_time: 0.0224 memory: 6108 grad_norm: 5.6146 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1121 loss: 2.1121 2022/07/22 19:27:51 - mmengine - INFO - Epoch(train) [21][3080/3757] lr: 1.0000e-02 eta: 19:20:36 time: 0.2309 data_time: 0.0214 memory: 6108 grad_norm: 5.6915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2940 loss: 2.2940 2022/07/22 19:27:56 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 1.0000e-02 eta: 19:20:32 time: 0.2330 data_time: 0.0270 memory: 6108 grad_norm: 5.4838 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1889 loss: 2.1889 2022/07/22 19:28:01 - mmengine - INFO - Epoch(train) [21][3120/3757] lr: 1.0000e-02 eta: 19:20:27 time: 0.2398 data_time: 0.0212 memory: 6108 grad_norm: 5.3693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0752 loss: 2.0752 2022/07/22 19:28:05 - mmengine - INFO - Epoch(train) [21][3140/3757] lr: 1.0000e-02 eta: 19:20:22 time: 0.2300 data_time: 0.0220 memory: 6108 grad_norm: 5.5771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1739 loss: 2.1739 2022/07/22 19:28:10 - mmengine - INFO - Epoch(train) [21][3160/3757] lr: 1.0000e-02 eta: 19:20:18 time: 0.2461 data_time: 0.0215 memory: 6108 grad_norm: 5.4808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2284 loss: 2.2284 2022/07/22 19:28:15 - mmengine - INFO - Epoch(train) [21][3180/3757] lr: 1.0000e-02 eta: 19:20:14 time: 0.2350 data_time: 0.0189 memory: 6108 grad_norm: 5.6261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3389 loss: 2.3389 2022/07/22 19:28:20 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 1.0000e-02 eta: 19:20:12 time: 0.2763 data_time: 0.0160 memory: 6108 grad_norm: 5.5312 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0969 loss: 2.0969 2022/07/22 19:28:25 - mmengine - INFO - Epoch(train) [21][3220/3757] lr: 1.0000e-02 eta: 19:20:08 time: 0.2433 data_time: 0.0304 memory: 6108 grad_norm: 5.6758 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2566 loss: 2.2566 2022/07/22 19:28:30 - mmengine - INFO - Epoch(train) [21][3240/3757] lr: 1.0000e-02 eta: 19:20:04 time: 0.2346 data_time: 0.0166 memory: 6108 grad_norm: 5.5134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3127 loss: 2.3127 2022/07/22 19:28:35 - mmengine - INFO - Epoch(train) [21][3260/3757] lr: 1.0000e-02 eta: 19:19:59 time: 0.2292 data_time: 0.0269 memory: 6108 grad_norm: 5.5031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8895 loss: 1.8895 2022/07/22 19:28:39 - mmengine - INFO - Epoch(train) [21][3280/3757] lr: 1.0000e-02 eta: 19:19:53 time: 0.2232 data_time: 0.0200 memory: 6108 grad_norm: 5.6194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3546 loss: 2.3546 2022/07/22 19:28:44 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 1.0000e-02 eta: 19:19:48 time: 0.2264 data_time: 0.0253 memory: 6108 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2661 loss: 2.2661 2022/07/22 19:28:48 - mmengine - INFO - Epoch(train) [21][3320/3757] lr: 1.0000e-02 eta: 19:19:43 time: 0.2328 data_time: 0.0167 memory: 6108 grad_norm: 5.6225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9443 loss: 1.9443 2022/07/22 19:28:53 - mmengine - INFO - Epoch(train) [21][3340/3757] lr: 1.0000e-02 eta: 19:19:38 time: 0.2220 data_time: 0.0257 memory: 6108 grad_norm: 5.3232 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0337 loss: 2.0337 2022/07/22 19:28:58 - mmengine - INFO - Epoch(train) [21][3360/3757] lr: 1.0000e-02 eta: 19:19:34 time: 0.2449 data_time: 0.0181 memory: 6108 grad_norm: 5.4390 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9400 loss: 1.9400 2022/07/22 19:29:02 - mmengine - INFO - Epoch(train) [21][3380/3757] lr: 1.0000e-02 eta: 19:19:29 time: 0.2286 data_time: 0.0225 memory: 6108 grad_norm: 5.5656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0913 loss: 2.0913 2022/07/22 19:29:07 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 1.0000e-02 eta: 19:19:24 time: 0.2399 data_time: 0.0221 memory: 6108 grad_norm: 5.4168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8968 loss: 1.8968 2022/07/22 19:29:12 - mmengine - INFO - Epoch(train) [21][3420/3757] lr: 1.0000e-02 eta: 19:19:20 time: 0.2397 data_time: 0.0180 memory: 6108 grad_norm: 5.5709 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9755 loss: 1.9755 2022/07/22 19:29:16 - mmengine - INFO - Epoch(train) [21][3440/3757] lr: 1.0000e-02 eta: 19:19:15 time: 0.2241 data_time: 0.0216 memory: 6108 grad_norm: 5.6006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/07/22 19:29:21 - mmengine - INFO - Epoch(train) [21][3460/3757] lr: 1.0000e-02 eta: 19:19:11 time: 0.2494 data_time: 0.0244 memory: 6108 grad_norm: 5.7668 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2154 loss: 2.2154 2022/07/22 19:29:26 - mmengine - INFO - Epoch(train) [21][3480/3757] lr: 1.0000e-02 eta: 19:19:05 time: 0.2186 data_time: 0.0205 memory: 6108 grad_norm: 5.6886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9667 loss: 1.9667 2022/07/22 19:29:30 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 1.0000e-02 eta: 19:19:00 time: 0.2289 data_time: 0.0209 memory: 6108 grad_norm: 5.6856 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2564 loss: 2.2564 2022/07/22 19:29:35 - mmengine - INFO - Epoch(train) [21][3520/3757] lr: 1.0000e-02 eta: 19:18:55 time: 0.2236 data_time: 0.0288 memory: 6108 grad_norm: 5.5584 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9519 loss: 1.9519 2022/07/22 19:29:39 - mmengine - INFO - Epoch(train) [21][3540/3757] lr: 1.0000e-02 eta: 19:18:50 time: 0.2337 data_time: 0.0235 memory: 6108 grad_norm: 5.7022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2099 loss: 2.2099 2022/07/22 19:29:44 - mmengine - INFO - Epoch(train) [21][3560/3757] lr: 1.0000e-02 eta: 19:18:46 time: 0.2429 data_time: 0.0188 memory: 6108 grad_norm: 5.5315 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2024 loss: 2.2024 2022/07/22 19:29:49 - mmengine - INFO - Epoch(train) [21][3580/3757] lr: 1.0000e-02 eta: 19:18:41 time: 0.2341 data_time: 0.0221 memory: 6108 grad_norm: 5.6761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1683 loss: 2.1683 2022/07/22 19:29:54 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 1.0000e-02 eta: 19:18:36 time: 0.2276 data_time: 0.0241 memory: 6108 grad_norm: 5.5559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0800 loss: 2.0800 2022/07/22 19:29:58 - mmengine - INFO - Epoch(train) [21][3620/3757] lr: 1.0000e-02 eta: 19:18:30 time: 0.2206 data_time: 0.0221 memory: 6108 grad_norm: 5.6147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1554 loss: 2.1554 2022/07/22 19:30:03 - mmengine - INFO - Epoch(train) [21][3640/3757] lr: 1.0000e-02 eta: 19:18:26 time: 0.2338 data_time: 0.0219 memory: 6108 grad_norm: 5.4012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1752 loss: 2.1752 2022/07/22 19:30:08 - mmengine - INFO - Epoch(train) [21][3660/3757] lr: 1.0000e-02 eta: 19:18:22 time: 0.2436 data_time: 0.0187 memory: 6108 grad_norm: 5.6129 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9768 loss: 1.9768 2022/07/22 19:30:12 - mmengine - INFO - Epoch(train) [21][3680/3757] lr: 1.0000e-02 eta: 19:18:18 time: 0.2446 data_time: 0.0188 memory: 6108 grad_norm: 5.5406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8789 loss: 1.8789 2022/07/22 19:30:17 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 1.0000e-02 eta: 19:18:12 time: 0.2217 data_time: 0.0214 memory: 6108 grad_norm: 5.6228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0873 loss: 2.0873 2022/07/22 19:30:21 - mmengine - INFO - Epoch(train) [21][3720/3757] lr: 1.0000e-02 eta: 19:18:07 time: 0.2222 data_time: 0.0204 memory: 6108 grad_norm: 5.7332 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4193 loss: 2.4193 2022/07/22 19:30:26 - mmengine - INFO - Epoch(train) [21][3740/3757] lr: 1.0000e-02 eta: 19:18:03 time: 0.2482 data_time: 0.0204 memory: 6108 grad_norm: 5.3832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0574 loss: 2.0574 2022/07/22 19:30:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:30:30 - mmengine - INFO - Epoch(train) [21][3757/3757] lr: 1.0000e-02 eta: 19:18:03 time: 0.1979 data_time: 0.0168 memory: 6108 grad_norm: 5.7541 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.2458 loss: 2.2458 2022/07/22 19:30:35 - mmengine - INFO - Epoch(val) [21][20/310] eta: 0:01:17 time: 0.2669 data_time: 0.1868 memory: 1428 2022/07/22 19:30:39 - mmengine - INFO - Epoch(val) [21][40/310] eta: 0:00:48 time: 0.1787 data_time: 0.0982 memory: 1428 2022/07/22 19:30:43 - mmengine - INFO - Epoch(val) [21][60/310] eta: 0:00:57 time: 0.2318 data_time: 0.1571 memory: 1428 2022/07/22 19:30:48 - mmengine - INFO - Epoch(val) [21][80/310] eta: 0:00:49 time: 0.2157 data_time: 0.1385 memory: 1428 2022/07/22 19:30:52 - mmengine - INFO - Epoch(val) [21][100/310] eta: 0:00:44 time: 0.2132 data_time: 0.1391 memory: 1428 2022/07/22 19:30:56 - mmengine - INFO - Epoch(val) [21][120/310] eta: 0:00:38 time: 0.2052 data_time: 0.1343 memory: 1428 2022/07/22 19:31:01 - mmengine - INFO - Epoch(val) [21][140/310] eta: 0:00:40 time: 0.2358 data_time: 0.1623 memory: 1428 2022/07/22 19:31:04 - mmengine - INFO - Epoch(val) [21][160/310] eta: 0:00:28 time: 0.1882 data_time: 0.1155 memory: 1428 2022/07/22 19:31:09 - mmengine - INFO - Epoch(val) [21][180/310] eta: 0:00:31 time: 0.2427 data_time: 0.1689 memory: 1428 2022/07/22 19:31:13 - mmengine - INFO - Epoch(val) [21][200/310] eta: 0:00:19 time: 0.1735 data_time: 0.0969 memory: 1428 2022/07/22 19:31:18 - mmengine - INFO - Epoch(val) [21][220/310] eta: 0:00:25 time: 0.2869 data_time: 0.2112 memory: 1428 2022/07/22 19:31:22 - mmengine - INFO - Epoch(val) [21][240/310] eta: 0:00:12 time: 0.1772 data_time: 0.1013 memory: 1428 2022/07/22 19:31:27 - mmengine - INFO - Epoch(val) [21][260/310] eta: 0:00:12 time: 0.2407 data_time: 0.1651 memory: 1428 2022/07/22 19:31:31 - mmengine - INFO - Epoch(val) [21][280/310] eta: 0:00:05 time: 0.1889 data_time: 0.1075 memory: 1428 2022/07/22 19:31:35 - mmengine - INFO - Epoch(val) [21][300/310] eta: 0:00:02 time: 0.2059 data_time: 0.1371 memory: 1428 2022/07/22 19:31:38 - mmengine - INFO - Epoch(val) [21][310/310] acc/top1: 0.5432 acc/top5: 0.7934 acc/mean1: 0.5430 2022/07/22 19:31:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/07/22 19:31:41 - mmengine - INFO - The best checkpoint with 0.5432 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/07/22 19:31:46 - mmengine - INFO - Epoch(train) [22][20/3757] lr: 1.0000e-02 eta: 19:17:43 time: 0.2803 data_time: 0.0918 memory: 6108 grad_norm: 5.5253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1902 loss: 2.1902 2022/07/22 19:31:51 - mmengine - INFO - Epoch(train) [22][40/3757] lr: 1.0000e-02 eta: 19:17:38 time: 0.2315 data_time: 0.0316 memory: 6108 grad_norm: 5.6500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3821 loss: 2.3821 2022/07/22 19:31:56 - mmengine - INFO - Epoch(train) [22][60/3757] lr: 1.0000e-02 eta: 19:17:33 time: 0.2259 data_time: 0.0228 memory: 6108 grad_norm: 5.5610 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2247 loss: 2.2247 2022/07/22 19:32:01 - mmengine - INFO - Epoch(train) [22][80/3757] lr: 1.0000e-02 eta: 19:17:30 time: 0.2574 data_time: 0.0194 memory: 6108 grad_norm: 5.4480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9683 loss: 1.9683 2022/07/22 19:32:05 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 1.0000e-02 eta: 19:17:24 time: 0.2186 data_time: 0.0174 memory: 6108 grad_norm: 5.3249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8723 loss: 1.8723 2022/07/22 19:32:06 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:32:10 - mmengine - INFO - Epoch(train) [22][120/3757] lr: 1.0000e-02 eta: 19:17:18 time: 0.2191 data_time: 0.0218 memory: 6108 grad_norm: 5.4831 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0441 loss: 2.0441 2022/07/22 19:32:15 - mmengine - INFO - Epoch(train) [22][140/3757] lr: 1.0000e-02 eta: 19:17:16 time: 0.2644 data_time: 0.0189 memory: 6108 grad_norm: 5.4175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0970 loss: 2.0970 2022/07/22 19:32:20 - mmengine - INFO - Epoch(train) [22][160/3757] lr: 1.0000e-02 eta: 19:17:11 time: 0.2352 data_time: 0.0177 memory: 6108 grad_norm: 5.5065 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0268 loss: 2.0268 2022/07/22 19:32:24 - mmengine - INFO - Epoch(train) [22][180/3757] lr: 1.0000e-02 eta: 19:17:06 time: 0.2260 data_time: 0.0257 memory: 6108 grad_norm: 5.5931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1798 loss: 2.1798 2022/07/22 19:32:29 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 1.0000e-02 eta: 19:17:00 time: 0.2239 data_time: 0.0255 memory: 6108 grad_norm: 5.3839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8625 loss: 1.8625 2022/07/22 19:32:33 - mmengine - INFO - Epoch(train) [22][220/3757] lr: 1.0000e-02 eta: 19:16:55 time: 0.2243 data_time: 0.0215 memory: 6108 grad_norm: 5.5392 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2803 loss: 2.2803 2022/07/22 19:32:38 - mmengine - INFO - Epoch(train) [22][240/3757] lr: 1.0000e-02 eta: 19:16:50 time: 0.2291 data_time: 0.0275 memory: 6108 grad_norm: 5.6284 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0034 loss: 2.0034 2022/07/22 19:32:42 - mmengine - INFO - Epoch(train) [22][260/3757] lr: 1.0000e-02 eta: 19:16:45 time: 0.2328 data_time: 0.0187 memory: 6108 grad_norm: 5.7010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9778 loss: 1.9778 2022/07/22 19:32:47 - mmengine - INFO - Epoch(train) [22][280/3757] lr: 1.0000e-02 eta: 19:16:40 time: 0.2295 data_time: 0.0230 memory: 6108 grad_norm: 5.6789 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2183 loss: 2.2183 2022/07/22 19:32:52 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 1.0000e-02 eta: 19:16:36 time: 0.2412 data_time: 0.0362 memory: 6108 grad_norm: 5.3319 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0966 loss: 2.0966 2022/07/22 19:32:56 - mmengine - INFO - Epoch(train) [22][320/3757] lr: 1.0000e-02 eta: 19:16:31 time: 0.2294 data_time: 0.0266 memory: 6108 grad_norm: 5.6900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3044 loss: 2.3044 2022/07/22 19:33:01 - mmengine - INFO - Epoch(train) [22][340/3757] lr: 1.0000e-02 eta: 19:16:27 time: 0.2378 data_time: 0.0177 memory: 6108 grad_norm: 5.4554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0219 loss: 2.0219 2022/07/22 19:33:06 - mmengine - INFO - Epoch(train) [22][360/3757] lr: 1.0000e-02 eta: 19:16:22 time: 0.2305 data_time: 0.0228 memory: 6108 grad_norm: 5.5337 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8148 loss: 1.8148 2022/07/22 19:33:10 - mmengine - INFO - Epoch(train) [22][380/3757] lr: 1.0000e-02 eta: 19:16:16 time: 0.2236 data_time: 0.0236 memory: 6108 grad_norm: 5.5660 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1017 loss: 2.1017 2022/07/22 19:33:15 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 1.0000e-02 eta: 19:16:11 time: 0.2291 data_time: 0.0229 memory: 6108 grad_norm: 5.5373 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9467 loss: 1.9467 2022/07/22 19:33:20 - mmengine - INFO - Epoch(train) [22][420/3757] lr: 1.0000e-02 eta: 19:16:07 time: 0.2448 data_time: 0.0213 memory: 6108 grad_norm: 5.4083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9974 loss: 1.9974 2022/07/22 19:33:24 - mmengine - INFO - Epoch(train) [22][440/3757] lr: 1.0000e-02 eta: 19:16:02 time: 0.2219 data_time: 0.0186 memory: 6108 grad_norm: 5.5801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2716 loss: 2.2716 2022/07/22 19:33:29 - mmengine - INFO - Epoch(train) [22][460/3757] lr: 1.0000e-02 eta: 19:15:56 time: 0.2235 data_time: 0.0191 memory: 6108 grad_norm: 5.5931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2035 loss: 2.2035 2022/07/22 19:33:34 - mmengine - INFO - Epoch(train) [22][480/3757] lr: 1.0000e-02 eta: 19:15:53 time: 0.2594 data_time: 0.0240 memory: 6108 grad_norm: 5.6614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0548 loss: 2.0548 2022/07/22 19:33:38 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 1.0000e-02 eta: 19:15:48 time: 0.2201 data_time: 0.0199 memory: 6108 grad_norm: 5.6361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2944 loss: 2.2944 2022/07/22 19:33:43 - mmengine - INFO - Epoch(train) [22][520/3757] lr: 1.0000e-02 eta: 19:15:43 time: 0.2360 data_time: 0.0252 memory: 6108 grad_norm: 5.6949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4089 loss: 2.4089 2022/07/22 19:33:47 - mmengine - INFO - Epoch(train) [22][540/3757] lr: 1.0000e-02 eta: 19:15:37 time: 0.2203 data_time: 0.0222 memory: 6108 grad_norm: 5.6586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1556 loss: 2.1556 2022/07/22 19:33:52 - mmengine - INFO - Epoch(train) [22][560/3757] lr: 1.0000e-02 eta: 19:15:33 time: 0.2405 data_time: 0.0191 memory: 6108 grad_norm: 5.7575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1989 loss: 2.1989 2022/07/22 19:33:57 - mmengine - INFO - Epoch(train) [22][580/3757] lr: 1.0000e-02 eta: 19:15:29 time: 0.2338 data_time: 0.0272 memory: 6108 grad_norm: 5.6514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0532 loss: 2.0532 2022/07/22 19:34:02 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 1.0000e-02 eta: 19:15:24 time: 0.2407 data_time: 0.0188 memory: 6108 grad_norm: 5.6844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9945 loss: 1.9945 2022/07/22 19:34:06 - mmengine - INFO - Epoch(train) [22][620/3757] lr: 1.0000e-02 eta: 19:15:20 time: 0.2365 data_time: 0.0266 memory: 6108 grad_norm: 5.5808 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8520 loss: 1.8520 2022/07/22 19:34:12 - mmengine - INFO - Epoch(train) [22][640/3757] lr: 1.0000e-02 eta: 19:15:17 time: 0.2564 data_time: 0.0208 memory: 6108 grad_norm: 5.3788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9968 loss: 1.9968 2022/07/22 19:34:16 - mmengine - INFO - Epoch(train) [22][660/3757] lr: 1.0000e-02 eta: 19:15:11 time: 0.2207 data_time: 0.0249 memory: 6108 grad_norm: 5.6807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1523 loss: 2.1523 2022/07/22 19:34:21 - mmengine - INFO - Epoch(train) [22][680/3757] lr: 1.0000e-02 eta: 19:15:08 time: 0.2578 data_time: 0.0516 memory: 6108 grad_norm: 5.6319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9738 loss: 1.9738 2022/07/22 19:34:26 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 1.0000e-02 eta: 19:15:04 time: 0.2343 data_time: 0.0443 memory: 6108 grad_norm: 5.4462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0829 loss: 2.0829 2022/07/22 19:34:30 - mmengine - INFO - Epoch(train) [22][720/3757] lr: 1.0000e-02 eta: 19:14:59 time: 0.2281 data_time: 0.0218 memory: 6108 grad_norm: 5.6183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8927 loss: 1.8927 2022/07/22 19:34:35 - mmengine - INFO - Epoch(train) [22][740/3757] lr: 1.0000e-02 eta: 19:14:54 time: 0.2344 data_time: 0.0272 memory: 6108 grad_norm: 5.5171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3545 loss: 2.3545 2022/07/22 19:34:41 - mmengine - INFO - Epoch(train) [22][760/3757] lr: 1.0000e-02 eta: 19:14:52 time: 0.2679 data_time: 0.0609 memory: 6108 grad_norm: 5.6694 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2699 loss: 2.2699 2022/07/22 19:34:45 - mmengine - INFO - Epoch(train) [22][780/3757] lr: 1.0000e-02 eta: 19:14:46 time: 0.2247 data_time: 0.0308 memory: 6108 grad_norm: 5.6843 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2733 loss: 2.2733 2022/07/22 19:34:50 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 1.0000e-02 eta: 19:14:41 time: 0.2255 data_time: 0.0251 memory: 6108 grad_norm: 5.7985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0761 loss: 2.0761 2022/07/22 19:34:54 - mmengine - INFO - Epoch(train) [22][820/3757] lr: 1.0000e-02 eta: 19:14:36 time: 0.2239 data_time: 0.0237 memory: 6108 grad_norm: 5.9124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0717 loss: 2.0717 2022/07/22 19:34:59 - mmengine - INFO - Epoch(train) [22][840/3757] lr: 1.0000e-02 eta: 19:14:31 time: 0.2356 data_time: 0.0204 memory: 6108 grad_norm: 5.5569 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1636 loss: 2.1636 2022/07/22 19:35:03 - mmengine - INFO - Epoch(train) [22][860/3757] lr: 1.0000e-02 eta: 19:14:26 time: 0.2294 data_time: 0.0205 memory: 6108 grad_norm: 5.4448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8807 loss: 1.8807 2022/07/22 19:35:08 - mmengine - INFO - Epoch(train) [22][880/3757] lr: 1.0000e-02 eta: 19:14:20 time: 0.2227 data_time: 0.0197 memory: 6108 grad_norm: 5.6928 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1271 loss: 2.1271 2022/07/22 19:35:13 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 1.0000e-02 eta: 19:14:17 time: 0.2501 data_time: 0.0226 memory: 6108 grad_norm: 5.4656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2492 loss: 2.2492 2022/07/22 19:35:17 - mmengine - INFO - Epoch(train) [22][920/3757] lr: 1.0000e-02 eta: 19:14:12 time: 0.2240 data_time: 0.0217 memory: 6108 grad_norm: 5.5202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1024 loss: 2.1024 2022/07/22 19:35:22 - mmengine - INFO - Epoch(train) [22][940/3757] lr: 1.0000e-02 eta: 19:14:09 time: 0.2593 data_time: 0.0170 memory: 6108 grad_norm: 5.5303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2176 loss: 2.2176 2022/07/22 19:35:27 - mmengine - INFO - Epoch(train) [22][960/3757] lr: 1.0000e-02 eta: 19:14:03 time: 0.2242 data_time: 0.0242 memory: 6108 grad_norm: 5.8120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0211 loss: 2.0211 2022/07/22 19:35:32 - mmengine - INFO - Epoch(train) [22][980/3757] lr: 1.0000e-02 eta: 19:13:58 time: 0.2308 data_time: 0.0204 memory: 6108 grad_norm: 5.6411 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9760 loss: 1.9760 2022/07/22 19:35:36 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 1.0000e-02 eta: 19:13:53 time: 0.2213 data_time: 0.0192 memory: 6108 grad_norm: 5.5758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0991 loss: 2.0991 2022/07/22 19:35:41 - mmengine - INFO - Epoch(train) [22][1020/3757] lr: 1.0000e-02 eta: 19:13:49 time: 0.2454 data_time: 0.0225 memory: 6108 grad_norm: 5.7068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0490 loss: 2.0490 2022/07/22 19:35:46 - mmengine - INFO - Epoch(train) [22][1040/3757] lr: 1.0000e-02 eta: 19:13:44 time: 0.2283 data_time: 0.0206 memory: 6108 grad_norm: 5.4977 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9052 loss: 1.9052 2022/07/22 19:35:50 - mmengine - INFO - Epoch(train) [22][1060/3757] lr: 1.0000e-02 eta: 19:13:38 time: 0.2220 data_time: 0.0216 memory: 6108 grad_norm: 5.5924 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9651 loss: 1.9651 2022/07/22 19:35:55 - mmengine - INFO - Epoch(train) [22][1080/3757] lr: 1.0000e-02 eta: 19:13:33 time: 0.2263 data_time: 0.0256 memory: 6108 grad_norm: 5.6834 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8484 loss: 1.8484 2022/07/22 19:35:59 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 1.0000e-02 eta: 19:13:28 time: 0.2282 data_time: 0.0196 memory: 6108 grad_norm: 5.5338 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0603 loss: 2.0603 2022/07/22 19:36:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:36:04 - mmengine - INFO - Epoch(train) [22][1120/3757] lr: 1.0000e-02 eta: 19:13:23 time: 0.2332 data_time: 0.0271 memory: 6108 grad_norm: 5.6813 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1174 loss: 2.1174 2022/07/22 19:36:08 - mmengine - INFO - Epoch(train) [22][1140/3757] lr: 1.0000e-02 eta: 19:13:18 time: 0.2339 data_time: 0.0221 memory: 6108 grad_norm: 5.5568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1726 loss: 2.1726 2022/07/22 19:36:13 - mmengine - INFO - Epoch(train) [22][1160/3757] lr: 1.0000e-02 eta: 19:13:13 time: 0.2304 data_time: 0.0187 memory: 6108 grad_norm: 5.5233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8557 loss: 1.8557 2022/07/22 19:36:18 - mmengine - INFO - Epoch(train) [22][1180/3757] lr: 1.0000e-02 eta: 19:13:08 time: 0.2268 data_time: 0.0221 memory: 6108 grad_norm: 5.6513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2974 loss: 2.2974 2022/07/22 19:36:23 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 1.0000e-02 eta: 19:13:06 time: 0.2696 data_time: 0.0231 memory: 6108 grad_norm: 5.5020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0281 loss: 2.0281 2022/07/22 19:36:28 - mmengine - INFO - Epoch(train) [22][1220/3757] lr: 1.0000e-02 eta: 19:13:01 time: 0.2260 data_time: 0.0231 memory: 6108 grad_norm: 5.4248 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9860 loss: 1.9860 2022/07/22 19:36:32 - mmengine - INFO - Epoch(train) [22][1240/3757] lr: 1.0000e-02 eta: 19:12:57 time: 0.2443 data_time: 0.0221 memory: 6108 grad_norm: 5.5791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2575 loss: 2.2575 2022/07/22 19:36:37 - mmengine - INFO - Epoch(train) [22][1260/3757] lr: 1.0000e-02 eta: 19:12:52 time: 0.2229 data_time: 0.0268 memory: 6108 grad_norm: 5.5879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4613 loss: 2.4613 2022/07/22 19:36:42 - mmengine - INFO - Epoch(train) [22][1280/3757] lr: 1.0000e-02 eta: 19:12:47 time: 0.2389 data_time: 0.0168 memory: 6108 grad_norm: 5.5766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5464 loss: 1.5464 2022/07/22 19:36:46 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 1.0000e-02 eta: 19:12:42 time: 0.2238 data_time: 0.0206 memory: 6108 grad_norm: 5.5072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2250 loss: 2.2250 2022/07/22 19:36:51 - mmengine - INFO - Epoch(train) [22][1320/3757] lr: 1.0000e-02 eta: 19:12:36 time: 0.2213 data_time: 0.0205 memory: 6108 grad_norm: 5.7517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/07/22 19:36:56 - mmengine - INFO - Epoch(train) [22][1340/3757] lr: 1.0000e-02 eta: 19:12:32 time: 0.2470 data_time: 0.0230 memory: 6108 grad_norm: 5.5202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3566 loss: 2.3566 2022/07/22 19:37:01 - mmengine - INFO - Epoch(train) [22][1360/3757] lr: 1.0000e-02 eta: 19:12:30 time: 0.2652 data_time: 0.0194 memory: 6108 grad_norm: 5.5406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2075 loss: 2.2075 2022/07/22 19:37:05 - mmengine - INFO - Epoch(train) [22][1380/3757] lr: 1.0000e-02 eta: 19:12:25 time: 0.2241 data_time: 0.0270 memory: 6108 grad_norm: 5.7415 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2553 loss: 2.2553 2022/07/22 19:37:10 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 1.0000e-02 eta: 19:12:21 time: 0.2463 data_time: 0.0182 memory: 6108 grad_norm: 5.6642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1869 loss: 2.1869 2022/07/22 19:37:15 - mmengine - INFO - Epoch(train) [22][1420/3757] lr: 1.0000e-02 eta: 19:12:16 time: 0.2272 data_time: 0.0186 memory: 6108 grad_norm: 5.6746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1674 loss: 2.1674 2022/07/22 19:37:20 - mmengine - INFO - Epoch(train) [22][1440/3757] lr: 1.0000e-02 eta: 19:12:11 time: 0.2403 data_time: 0.0225 memory: 6108 grad_norm: 5.7908 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3583 loss: 2.3583 2022/07/22 19:37:24 - mmengine - INFO - Epoch(train) [22][1460/3757] lr: 1.0000e-02 eta: 19:12:06 time: 0.2196 data_time: 0.0197 memory: 6108 grad_norm: 5.6672 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5006 loss: 2.5006 2022/07/22 19:37:29 - mmengine - INFO - Epoch(train) [22][1480/3757] lr: 1.0000e-02 eta: 19:12:00 time: 0.2269 data_time: 0.0205 memory: 6108 grad_norm: 5.6893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0118 loss: 2.0118 2022/07/22 19:37:34 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 1.0000e-02 eta: 19:11:57 time: 0.2518 data_time: 0.0216 memory: 6108 grad_norm: 5.6784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1475 loss: 2.1475 2022/07/22 19:37:38 - mmengine - INFO - Epoch(train) [22][1520/3757] lr: 1.0000e-02 eta: 19:11:52 time: 0.2236 data_time: 0.0176 memory: 6108 grad_norm: 5.7139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1247 loss: 2.1247 2022/07/22 19:37:43 - mmengine - INFO - Epoch(train) [22][1540/3757] lr: 1.0000e-02 eta: 19:11:48 time: 0.2443 data_time: 0.0199 memory: 6108 grad_norm: 5.5137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0362 loss: 2.0362 2022/07/22 19:37:48 - mmengine - INFO - Epoch(train) [22][1560/3757] lr: 1.0000e-02 eta: 19:11:45 time: 0.2611 data_time: 0.0211 memory: 6108 grad_norm: 5.5230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0092 loss: 2.0092 2022/07/22 19:37:53 - mmengine - INFO - Epoch(train) [22][1580/3757] lr: 1.0000e-02 eta: 19:11:40 time: 0.2326 data_time: 0.0227 memory: 6108 grad_norm: 5.5287 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9762 loss: 1.9762 2022/07/22 19:37:57 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 1.0000e-02 eta: 19:11:35 time: 0.2233 data_time: 0.0182 memory: 6108 grad_norm: 5.3504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9247 loss: 1.9247 2022/07/22 19:38:02 - mmengine - INFO - Epoch(train) [22][1620/3757] lr: 1.0000e-02 eta: 19:11:30 time: 0.2374 data_time: 0.0233 memory: 6108 grad_norm: 5.4151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0567 loss: 2.0567 2022/07/22 19:38:07 - mmengine - INFO - Epoch(train) [22][1640/3757] lr: 1.0000e-02 eta: 19:11:25 time: 0.2228 data_time: 0.0181 memory: 6108 grad_norm: 5.6251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2551 loss: 2.2551 2022/07/22 19:38:11 - mmengine - INFO - Epoch(train) [22][1660/3757] lr: 1.0000e-02 eta: 19:11:19 time: 0.2233 data_time: 0.0204 memory: 6108 grad_norm: 5.4695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0172 loss: 2.0172 2022/07/22 19:38:16 - mmengine - INFO - Epoch(train) [22][1680/3757] lr: 1.0000e-02 eta: 19:11:15 time: 0.2396 data_time: 0.0217 memory: 6108 grad_norm: 5.5743 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2280 loss: 2.2280 2022/07/22 19:38:21 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 1.0000e-02 eta: 19:11:12 time: 0.2544 data_time: 0.0275 memory: 6108 grad_norm: 5.5655 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9924 loss: 1.9924 2022/07/22 19:38:25 - mmengine - INFO - Epoch(train) [22][1720/3757] lr: 1.0000e-02 eta: 19:11:06 time: 0.2228 data_time: 0.0186 memory: 6108 grad_norm: 5.7884 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1114 loss: 2.1114 2022/07/22 19:38:30 - mmengine - INFO - Epoch(train) [22][1740/3757] lr: 1.0000e-02 eta: 19:11:01 time: 0.2307 data_time: 0.0229 memory: 6108 grad_norm: 5.9519 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3712 loss: 2.3712 2022/07/22 19:38:35 - mmengine - INFO - Epoch(train) [22][1760/3757] lr: 1.0000e-02 eta: 19:10:56 time: 0.2291 data_time: 0.0220 memory: 6108 grad_norm: 5.5903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2528 loss: 2.2528 2022/07/22 19:38:39 - mmengine - INFO - Epoch(train) [22][1780/3757] lr: 1.0000e-02 eta: 19:10:51 time: 0.2295 data_time: 0.0236 memory: 6108 grad_norm: 5.6280 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0677 loss: 2.0677 2022/07/22 19:38:44 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 1.0000e-02 eta: 19:10:46 time: 0.2258 data_time: 0.0259 memory: 6108 grad_norm: 5.5563 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.4175 loss: 2.4175 2022/07/22 19:38:49 - mmengine - INFO - Epoch(train) [22][1820/3757] lr: 1.0000e-02 eta: 19:10:44 time: 0.2677 data_time: 0.0199 memory: 6108 grad_norm: 5.4732 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1377 loss: 2.1377 2022/07/22 19:38:54 - mmengine - INFO - Epoch(train) [22][1840/3757] lr: 1.0000e-02 eta: 19:10:39 time: 0.2357 data_time: 0.0223 memory: 6108 grad_norm: 5.5961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0997 loss: 2.0997 2022/07/22 19:38:58 - mmengine - INFO - Epoch(train) [22][1860/3757] lr: 1.0000e-02 eta: 19:10:34 time: 0.2272 data_time: 0.0239 memory: 6108 grad_norm: 5.5511 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0744 loss: 2.0744 2022/07/22 19:39:03 - mmengine - INFO - Epoch(train) [22][1880/3757] lr: 1.0000e-02 eta: 19:10:29 time: 0.2333 data_time: 0.0181 memory: 6108 grad_norm: 5.4650 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9911 loss: 1.9911 2022/07/22 19:39:08 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 1.0000e-02 eta: 19:10:24 time: 0.2260 data_time: 0.0213 memory: 6108 grad_norm: 5.4545 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2478 loss: 2.2478 2022/07/22 19:39:12 - mmengine - INFO - Epoch(train) [22][1920/3757] lr: 1.0000e-02 eta: 19:10:19 time: 0.2227 data_time: 0.0228 memory: 6108 grad_norm: 5.4475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7857 loss: 1.7857 2022/07/22 19:39:17 - mmengine - INFO - Epoch(train) [22][1940/3757] lr: 1.0000e-02 eta: 19:10:15 time: 0.2513 data_time: 0.0192 memory: 6108 grad_norm: 5.5049 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8009 loss: 1.8009 2022/07/22 19:39:22 - mmengine - INFO - Epoch(train) [22][1960/3757] lr: 1.0000e-02 eta: 19:10:11 time: 0.2339 data_time: 0.0214 memory: 6108 grad_norm: 5.5485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/07/22 19:39:27 - mmengine - INFO - Epoch(train) [22][1980/3757] lr: 1.0000e-02 eta: 19:10:07 time: 0.2499 data_time: 0.0225 memory: 6108 grad_norm: 5.8163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0782 loss: 2.0782 2022/07/22 19:39:31 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 1.0000e-02 eta: 19:10:02 time: 0.2285 data_time: 0.0250 memory: 6108 grad_norm: 5.7555 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.2760 loss: 2.2760 2022/07/22 19:39:36 - mmengine - INFO - Epoch(train) [22][2020/3757] lr: 1.0000e-02 eta: 19:09:57 time: 0.2276 data_time: 0.0287 memory: 6108 grad_norm: 5.5200 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0746 loss: 2.0746 2022/07/22 19:39:41 - mmengine - INFO - Epoch(train) [22][2040/3757] lr: 1.0000e-02 eta: 19:09:52 time: 0.2363 data_time: 0.0222 memory: 6108 grad_norm: 5.5504 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2969 loss: 2.2969 2022/07/22 19:39:45 - mmengine - INFO - Epoch(train) [22][2060/3757] lr: 1.0000e-02 eta: 19:09:47 time: 0.2204 data_time: 0.0185 memory: 6108 grad_norm: 5.8003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2609 loss: 2.2609 2022/07/22 19:39:50 - mmengine - INFO - Epoch(train) [22][2080/3757] lr: 1.0000e-02 eta: 19:09:41 time: 0.2237 data_time: 0.0178 memory: 6108 grad_norm: 5.7133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/07/22 19:39:55 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 1.0000e-02 eta: 19:09:38 time: 0.2527 data_time: 0.0266 memory: 6108 grad_norm: 5.7295 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1052 loss: 2.1052 2022/07/22 19:39:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:40:00 - mmengine - INFO - Epoch(train) [22][2120/3757] lr: 1.0000e-02 eta: 19:09:34 time: 0.2448 data_time: 0.0191 memory: 6108 grad_norm: 5.5152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1052 loss: 2.1052 2022/07/22 19:40:04 - mmengine - INFO - Epoch(train) [22][2140/3757] lr: 1.0000e-02 eta: 19:09:28 time: 0.2237 data_time: 0.0198 memory: 6108 grad_norm: 5.6112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0967 loss: 2.0967 2022/07/22 19:40:09 - mmengine - INFO - Epoch(train) [22][2160/3757] lr: 1.0000e-02 eta: 19:09:23 time: 0.2255 data_time: 0.0258 memory: 6108 grad_norm: 5.6791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2258 loss: 2.2258 2022/07/22 19:40:13 - mmengine - INFO - Epoch(train) [22][2180/3757] lr: 1.0000e-02 eta: 19:09:17 time: 0.2200 data_time: 0.0231 memory: 6108 grad_norm: 5.5641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/07/22 19:40:18 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 1.0000e-02 eta: 19:09:12 time: 0.2284 data_time: 0.0211 memory: 6108 grad_norm: 5.5088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1891 loss: 2.1891 2022/07/22 19:40:22 - mmengine - INFO - Epoch(train) [22][2220/3757] lr: 1.0000e-02 eta: 19:09:08 time: 0.2357 data_time: 0.0200 memory: 6108 grad_norm: 5.5892 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1094 loss: 2.1094 2022/07/22 19:40:27 - mmengine - INFO - Epoch(train) [22][2240/3757] lr: 1.0000e-02 eta: 19:09:02 time: 0.2230 data_time: 0.0202 memory: 6108 grad_norm: 5.6509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0541 loss: 2.0541 2022/07/22 19:40:32 - mmengine - INFO - Epoch(train) [22][2260/3757] lr: 1.0000e-02 eta: 19:08:58 time: 0.2369 data_time: 0.0294 memory: 6108 grad_norm: 5.6759 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0678 loss: 2.0678 2022/07/22 19:40:37 - mmengine - INFO - Epoch(train) [22][2280/3757] lr: 1.0000e-02 eta: 19:08:55 time: 0.2569 data_time: 0.0654 memory: 6108 grad_norm: 5.5736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3051 loss: 2.3051 2022/07/22 19:40:41 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 1.0000e-02 eta: 19:08:51 time: 0.2405 data_time: 0.0390 memory: 6108 grad_norm: 5.6468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3181 loss: 2.3181 2022/07/22 19:40:46 - mmengine - INFO - Epoch(train) [22][2320/3757] lr: 1.0000e-02 eta: 19:08:45 time: 0.2264 data_time: 0.0170 memory: 6108 grad_norm: 5.4687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2441 loss: 2.2441 2022/07/22 19:40:50 - mmengine - INFO - Epoch(train) [22][2340/3757] lr: 1.0000e-02 eta: 19:08:40 time: 0.2229 data_time: 0.0226 memory: 6108 grad_norm: 5.5124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0538 loss: 2.0538 2022/07/22 19:40:55 - mmengine - INFO - Epoch(train) [22][2360/3757] lr: 1.0000e-02 eta: 19:08:35 time: 0.2247 data_time: 0.0196 memory: 6108 grad_norm: 5.6659 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1552 loss: 2.1552 2022/07/22 19:41:00 - mmengine - INFO - Epoch(train) [22][2380/3757] lr: 1.0000e-02 eta: 19:08:31 time: 0.2479 data_time: 0.0244 memory: 6108 grad_norm: 5.6077 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3251 loss: 2.3251 2022/07/22 19:41:05 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 1.0000e-02 eta: 19:08:26 time: 0.2329 data_time: 0.0266 memory: 6108 grad_norm: 5.7753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9437 loss: 1.9437 2022/07/22 19:41:09 - mmengine - INFO - Epoch(train) [22][2420/3757] lr: 1.0000e-02 eta: 19:08:22 time: 0.2407 data_time: 0.0208 memory: 6108 grad_norm: 5.6552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2892 loss: 2.2892 2022/07/22 19:41:14 - mmengine - INFO - Epoch(train) [22][2440/3757] lr: 1.0000e-02 eta: 19:08:17 time: 0.2269 data_time: 0.0257 memory: 6108 grad_norm: 5.6610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8847 loss: 1.8847 2022/07/22 19:41:19 - mmengine - INFO - Epoch(train) [22][2460/3757] lr: 1.0000e-02 eta: 19:08:12 time: 0.2348 data_time: 0.0256 memory: 6108 grad_norm: 5.5131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3389 loss: 2.3389 2022/07/22 19:41:23 - mmengine - INFO - Epoch(train) [22][2480/3757] lr: 1.0000e-02 eta: 19:08:08 time: 0.2392 data_time: 0.0160 memory: 6108 grad_norm: 5.6564 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0832 loss: 2.0832 2022/07/22 19:41:28 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 1.0000e-02 eta: 19:08:03 time: 0.2304 data_time: 0.0205 memory: 6108 grad_norm: 5.3168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9947 loss: 1.9947 2022/07/22 19:41:33 - mmengine - INFO - Epoch(train) [22][2520/3757] lr: 1.0000e-02 eta: 19:07:58 time: 0.2273 data_time: 0.0212 memory: 6108 grad_norm: 5.4411 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9896 loss: 1.9896 2022/07/22 19:41:37 - mmengine - INFO - Epoch(train) [22][2540/3757] lr: 1.0000e-02 eta: 19:07:52 time: 0.2229 data_time: 0.0275 memory: 6108 grad_norm: 5.6721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0729 loss: 2.0729 2022/07/22 19:41:42 - mmengine - INFO - Epoch(train) [22][2560/3757] lr: 1.0000e-02 eta: 19:07:48 time: 0.2359 data_time: 0.0238 memory: 6108 grad_norm: 5.5756 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0400 loss: 2.0400 2022/07/22 19:41:51 - mmengine - INFO - Epoch(train) [22][2580/3757] lr: 1.0000e-02 eta: 19:07:58 time: 0.4436 data_time: 0.0201 memory: 6108 grad_norm: 5.4786 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2030 loss: 2.2030 2022/07/22 19:41:55 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 1.0000e-02 eta: 19:07:52 time: 0.2201 data_time: 0.0202 memory: 6108 grad_norm: 5.6019 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4889 loss: 2.4889 2022/07/22 19:42:00 - mmengine - INFO - Epoch(train) [22][2620/3757] lr: 1.0000e-02 eta: 19:07:48 time: 0.2342 data_time: 0.0249 memory: 6108 grad_norm: 5.5395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0762 loss: 2.0762 2022/07/22 19:42:04 - mmengine - INFO - Epoch(train) [22][2640/3757] lr: 1.0000e-02 eta: 19:07:42 time: 0.2267 data_time: 0.0186 memory: 6108 grad_norm: 5.4547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7294 loss: 1.7294 2022/07/22 19:42:09 - mmengine - INFO - Epoch(train) [22][2660/3757] lr: 1.0000e-02 eta: 19:07:39 time: 0.2447 data_time: 0.0164 memory: 6108 grad_norm: 5.8156 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9408 loss: 1.9408 2022/07/22 19:42:14 - mmengine - INFO - Epoch(train) [22][2680/3757] lr: 1.0000e-02 eta: 19:07:34 time: 0.2300 data_time: 0.0195 memory: 6108 grad_norm: 5.5691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9343 loss: 1.9343 2022/07/22 19:42:18 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 1.0000e-02 eta: 19:07:28 time: 0.2280 data_time: 0.0210 memory: 6108 grad_norm: 5.4465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1500 loss: 2.1500 2022/07/22 19:42:23 - mmengine - INFO - Epoch(train) [22][2720/3757] lr: 1.0000e-02 eta: 19:07:23 time: 0.2254 data_time: 0.0207 memory: 6108 grad_norm: 5.7304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1926 loss: 2.1926 2022/07/22 19:42:28 - mmengine - INFO - Epoch(train) [22][2740/3757] lr: 1.0000e-02 eta: 19:07:19 time: 0.2394 data_time: 0.0205 memory: 6108 grad_norm: 5.5453 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3175 loss: 2.3175 2022/07/22 19:42:33 - mmengine - INFO - Epoch(train) [22][2760/3757] lr: 1.0000e-02 eta: 19:07:14 time: 0.2363 data_time: 0.0155 memory: 6108 grad_norm: 5.5920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9620 loss: 1.9620 2022/07/22 19:42:37 - mmengine - INFO - Epoch(train) [22][2780/3757] lr: 1.0000e-02 eta: 19:07:09 time: 0.2252 data_time: 0.0224 memory: 6108 grad_norm: 5.4954 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2187 loss: 2.2187 2022/07/22 19:42:42 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 1.0000e-02 eta: 19:07:05 time: 0.2392 data_time: 0.0210 memory: 6108 grad_norm: 5.4438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1608 loss: 2.1608 2022/07/22 19:42:46 - mmengine - INFO - Epoch(train) [22][2820/3757] lr: 1.0000e-02 eta: 19:06:59 time: 0.2247 data_time: 0.0238 memory: 6108 grad_norm: 5.4471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0074 loss: 2.0074 2022/07/22 19:42:51 - mmengine - INFO - Epoch(train) [22][2840/3757] lr: 1.0000e-02 eta: 19:06:54 time: 0.2205 data_time: 0.0221 memory: 6108 grad_norm: 5.4665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8459 loss: 1.8459 2022/07/22 19:42:55 - mmengine - INFO - Epoch(train) [22][2860/3757] lr: 1.0000e-02 eta: 19:06:48 time: 0.2252 data_time: 0.0243 memory: 6108 grad_norm: 5.6307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0799 loss: 2.0799 2022/07/22 19:43:00 - mmengine - INFO - Epoch(train) [22][2880/3757] lr: 1.0000e-02 eta: 19:06:44 time: 0.2442 data_time: 0.0201 memory: 6108 grad_norm: 5.6876 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2959 loss: 2.2959 2022/07/22 19:43:05 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 1.0000e-02 eta: 19:06:40 time: 0.2416 data_time: 0.0236 memory: 6108 grad_norm: 5.7476 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0942 loss: 2.0942 2022/07/22 19:43:09 - mmengine - INFO - Epoch(train) [22][2920/3757] lr: 1.0000e-02 eta: 19:06:35 time: 0.2239 data_time: 0.0219 memory: 6108 grad_norm: 5.6006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3991 loss: 2.3991 2022/07/22 19:43:14 - mmengine - INFO - Epoch(train) [22][2940/3757] lr: 1.0000e-02 eta: 19:06:29 time: 0.2249 data_time: 0.0248 memory: 6108 grad_norm: 5.5575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1718 loss: 2.1718 2022/07/22 19:43:19 - mmengine - INFO - Epoch(train) [22][2960/3757] lr: 1.0000e-02 eta: 19:06:27 time: 0.2651 data_time: 0.0722 memory: 6108 grad_norm: 5.2732 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9288 loss: 1.9288 2022/07/22 19:43:24 - mmengine - INFO - Epoch(train) [22][2980/3757] lr: 1.0000e-02 eta: 19:06:22 time: 0.2322 data_time: 0.0240 memory: 6108 grad_norm: 5.5194 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0762 loss: 2.0762 2022/07/22 19:43:28 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 1.0000e-02 eta: 19:06:17 time: 0.2260 data_time: 0.0218 memory: 6108 grad_norm: 5.4239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0985 loss: 2.0985 2022/07/22 19:43:33 - mmengine - INFO - Epoch(train) [22][3020/3757] lr: 1.0000e-02 eta: 19:06:12 time: 0.2306 data_time: 0.0184 memory: 6108 grad_norm: 5.5490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2103 loss: 2.2103 2022/07/22 19:43:38 - mmengine - INFO - Epoch(train) [22][3040/3757] lr: 1.0000e-02 eta: 19:06:08 time: 0.2456 data_time: 0.0237 memory: 6108 grad_norm: 5.6108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9469 loss: 1.9469 2022/07/22 19:43:43 - mmengine - INFO - Epoch(train) [22][3060/3757] lr: 1.0000e-02 eta: 19:06:04 time: 0.2350 data_time: 0.0188 memory: 6108 grad_norm: 5.6676 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1258 loss: 2.1258 2022/07/22 19:43:47 - mmengine - INFO - Epoch(train) [22][3080/3757] lr: 1.0000e-02 eta: 19:05:59 time: 0.2344 data_time: 0.0186 memory: 6108 grad_norm: 5.7015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0798 loss: 2.0798 2022/07/22 19:43:52 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 1.0000e-02 eta: 19:05:54 time: 0.2256 data_time: 0.0249 memory: 6108 grad_norm: 5.5600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1440 loss: 2.1440 2022/07/22 19:43:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:43:56 - mmengine - INFO - Epoch(train) [22][3120/3757] lr: 1.0000e-02 eta: 19:05:48 time: 0.2218 data_time: 0.0200 memory: 6108 grad_norm: 5.5470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0082 loss: 2.0082 2022/07/22 19:44:01 - mmengine - INFO - Epoch(train) [22][3140/3757] lr: 1.0000e-02 eta: 19:05:44 time: 0.2391 data_time: 0.0177 memory: 6108 grad_norm: 5.6870 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3159 loss: 2.3159 2022/07/22 19:44:06 - mmengine - INFO - Epoch(train) [22][3160/3757] lr: 1.0000e-02 eta: 19:05:38 time: 0.2216 data_time: 0.0230 memory: 6108 grad_norm: 5.5125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2003 loss: 2.2003 2022/07/22 19:44:10 - mmengine - INFO - Epoch(train) [22][3180/3757] lr: 1.0000e-02 eta: 19:05:34 time: 0.2361 data_time: 0.0184 memory: 6108 grad_norm: 5.6517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2254 loss: 2.2254 2022/07/22 19:44:15 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 1.0000e-02 eta: 19:05:29 time: 0.2295 data_time: 0.0179 memory: 6108 grad_norm: 5.5074 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1179 loss: 2.1179 2022/07/22 19:44:20 - mmengine - INFO - Epoch(train) [22][3220/3757] lr: 1.0000e-02 eta: 19:05:26 time: 0.2628 data_time: 0.0248 memory: 6108 grad_norm: 5.4981 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2008 loss: 2.2008 2022/07/22 19:44:25 - mmengine - INFO - Epoch(train) [22][3240/3757] lr: 1.0000e-02 eta: 19:05:20 time: 0.2217 data_time: 0.0205 memory: 6108 grad_norm: 5.4122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3391 loss: 2.3391 2022/07/22 19:44:29 - mmengine - INFO - Epoch(train) [22][3260/3757] lr: 1.0000e-02 eta: 19:05:15 time: 0.2245 data_time: 0.0239 memory: 6108 grad_norm: 5.5351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1955 loss: 2.1955 2022/07/22 19:44:34 - mmengine - INFO - Epoch(train) [22][3280/3757] lr: 1.0000e-02 eta: 19:05:10 time: 0.2254 data_time: 0.0281 memory: 6108 grad_norm: 5.5044 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8198 loss: 1.8198 2022/07/22 19:44:38 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 1.0000e-02 eta: 19:05:05 time: 0.2342 data_time: 0.0260 memory: 6108 grad_norm: 5.4695 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2757 loss: 2.2757 2022/07/22 19:44:43 - mmengine - INFO - Epoch(train) [22][3320/3757] lr: 1.0000e-02 eta: 19:05:01 time: 0.2364 data_time: 0.0269 memory: 6108 grad_norm: 5.4554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2394 loss: 2.2394 2022/07/22 19:44:48 - mmengine - INFO - Epoch(train) [22][3340/3757] lr: 1.0000e-02 eta: 19:04:55 time: 0.2241 data_time: 0.0233 memory: 6108 grad_norm: 5.4945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8770 loss: 1.8770 2022/07/22 19:44:52 - mmengine - INFO - Epoch(train) [22][3360/3757] lr: 1.0000e-02 eta: 19:04:50 time: 0.2315 data_time: 0.0200 memory: 6108 grad_norm: 5.4409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1190 loss: 2.1190 2022/07/22 19:44:57 - mmengine - INFO - Epoch(train) [22][3380/3757] lr: 1.0000e-02 eta: 19:04:45 time: 0.2276 data_time: 0.0270 memory: 6108 grad_norm: 5.3055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8522 loss: 1.8522 2022/07/22 19:45:02 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 1.0000e-02 eta: 19:04:42 time: 0.2518 data_time: 0.0264 memory: 6108 grad_norm: 5.4264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0390 loss: 2.0390 2022/07/22 19:45:06 - mmengine - INFO - Epoch(train) [22][3420/3757] lr: 1.0000e-02 eta: 19:04:36 time: 0.2255 data_time: 0.0201 memory: 6108 grad_norm: 5.7064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1796 loss: 2.1796 2022/07/22 19:45:11 - mmengine - INFO - Epoch(train) [22][3440/3757] lr: 1.0000e-02 eta: 19:04:32 time: 0.2402 data_time: 0.0190 memory: 6108 grad_norm: 5.6131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3526 loss: 2.3526 2022/07/22 19:45:16 - mmengine - INFO - Epoch(train) [22][3460/3757] lr: 1.0000e-02 eta: 19:04:26 time: 0.2198 data_time: 0.0208 memory: 6108 grad_norm: 5.5846 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4630 loss: 2.4630 2022/07/22 19:45:20 - mmengine - INFO - Epoch(train) [22][3480/3757] lr: 1.0000e-02 eta: 19:04:22 time: 0.2373 data_time: 0.0191 memory: 6108 grad_norm: 5.4626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2543 loss: 2.2543 2022/07/22 19:45:25 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 1.0000e-02 eta: 19:04:17 time: 0.2223 data_time: 0.0198 memory: 6108 grad_norm: 5.5269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8270 loss: 1.8270 2022/07/22 19:45:30 - mmengine - INFO - Epoch(train) [22][3520/3757] lr: 1.0000e-02 eta: 19:04:12 time: 0.2382 data_time: 0.0254 memory: 6108 grad_norm: 5.4702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0880 loss: 2.0880 2022/07/22 19:45:34 - mmengine - INFO - Epoch(train) [22][3540/3757] lr: 1.0000e-02 eta: 19:04:08 time: 0.2429 data_time: 0.0188 memory: 6108 grad_norm: 5.5434 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2755 loss: 2.2755 2022/07/22 19:45:39 - mmengine - INFO - Epoch(train) [22][3560/3757] lr: 1.0000e-02 eta: 19:04:03 time: 0.2265 data_time: 0.0206 memory: 6108 grad_norm: 5.4742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9720 loss: 1.9720 2022/07/22 19:45:44 - mmengine - INFO - Epoch(train) [22][3580/3757] lr: 1.0000e-02 eta: 19:03:59 time: 0.2519 data_time: 0.0239 memory: 6108 grad_norm: 5.4755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1195 loss: 2.1195 2022/07/22 19:45:48 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 1.0000e-02 eta: 19:03:54 time: 0.2190 data_time: 0.0196 memory: 6108 grad_norm: 5.6911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/07/22 19:45:53 - mmengine - INFO - Epoch(train) [22][3620/3757] lr: 1.0000e-02 eta: 19:03:49 time: 0.2395 data_time: 0.0187 memory: 6108 grad_norm: 5.4661 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2933 loss: 2.2933 2022/07/22 19:45:58 - mmengine - INFO - Epoch(train) [22][3640/3757] lr: 1.0000e-02 eta: 19:03:44 time: 0.2214 data_time: 0.0284 memory: 6108 grad_norm: 5.4594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2206 loss: 2.2206 2022/07/22 19:46:02 - mmengine - INFO - Epoch(train) [22][3660/3757] lr: 1.0000e-02 eta: 19:03:38 time: 0.2228 data_time: 0.0184 memory: 6108 grad_norm: 5.4146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1463 loss: 2.1463 2022/07/22 19:46:07 - mmengine - INFO - Epoch(train) [22][3680/3757] lr: 1.0000e-02 eta: 19:03:33 time: 0.2281 data_time: 0.0198 memory: 6108 grad_norm: 5.4907 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0548 loss: 2.0548 2022/07/22 19:46:12 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 1.0000e-02 eta: 19:03:29 time: 0.2451 data_time: 0.0274 memory: 6108 grad_norm: 5.6140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0605 loss: 2.0605 2022/07/22 19:46:16 - mmengine - INFO - Epoch(train) [22][3720/3757] lr: 1.0000e-02 eta: 19:03:25 time: 0.2349 data_time: 0.0233 memory: 6108 grad_norm: 5.6349 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0634 loss: 2.0634 2022/07/22 19:46:21 - mmengine - INFO - Epoch(train) [22][3740/3757] lr: 1.0000e-02 eta: 19:03:20 time: 0.2320 data_time: 0.0183 memory: 6108 grad_norm: 5.6591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0463 loss: 2.0463 2022/07/22 19:46:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:46:24 - mmengine - INFO - Epoch(train) [22][3757/3757] lr: 1.0000e-02 eta: 19:03:20 time: 0.1949 data_time: 0.0192 memory: 6108 grad_norm: 5.5540 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.9818 loss: 1.9818 2022/07/22 19:46:30 - mmengine - INFO - Epoch(val) [22][20/310] eta: 0:01:20 time: 0.2773 data_time: 0.1964 memory: 1428 2022/07/22 19:46:34 - mmengine - INFO - Epoch(val) [22][40/310] eta: 0:00:51 time: 0.1899 data_time: 0.1043 memory: 1428 2022/07/22 19:46:38 - mmengine - INFO - Epoch(val) [22][60/310] eta: 0:00:57 time: 0.2302 data_time: 0.1552 memory: 1428 2022/07/22 19:46:43 - mmengine - INFO - Epoch(val) [22][80/310] eta: 0:00:49 time: 0.2167 data_time: 0.1386 memory: 1428 2022/07/22 19:46:47 - mmengine - INFO - Epoch(val) [22][100/310] eta: 0:00:45 time: 0.2170 data_time: 0.1405 memory: 1428 2022/07/22 19:46:51 - mmengine - INFO - Epoch(val) [22][120/310] eta: 0:00:37 time: 0.1985 data_time: 0.1213 memory: 1428 2022/07/22 19:46:56 - mmengine - INFO - Epoch(val) [22][140/310] eta: 0:00:40 time: 0.2391 data_time: 0.1640 memory: 1428 2022/07/22 19:46:59 - mmengine - INFO - Epoch(val) [22][160/310] eta: 0:00:28 time: 0.1886 data_time: 0.1149 memory: 1428 2022/07/22 19:47:04 - mmengine - INFO - Epoch(val) [22][180/310] eta: 0:00:31 time: 0.2404 data_time: 0.1682 memory: 1428 2022/07/22 19:47:08 - mmengine - INFO - Epoch(val) [22][200/310] eta: 0:00:19 time: 0.1761 data_time: 0.0975 memory: 1428 2022/07/22 19:47:13 - mmengine - INFO - Epoch(val) [22][220/310] eta: 0:00:25 time: 0.2819 data_time: 0.2065 memory: 1428 2022/07/22 19:47:17 - mmengine - INFO - Epoch(val) [22][240/310] eta: 0:00:13 time: 0.1885 data_time: 0.1145 memory: 1428 2022/07/22 19:47:22 - mmengine - INFO - Epoch(val) [22][260/310] eta: 0:00:12 time: 0.2503 data_time: 0.1763 memory: 1428 2022/07/22 19:47:26 - mmengine - INFO - Epoch(val) [22][280/310] eta: 0:00:05 time: 0.1861 data_time: 0.1146 memory: 1428 2022/07/22 19:47:30 - mmengine - INFO - Epoch(val) [22][300/310] eta: 0:00:01 time: 0.1977 data_time: 0.1278 memory: 1428 2022/07/22 19:47:33 - mmengine - INFO - Epoch(val) [22][310/310] acc/top1: 0.5470 acc/top5: 0.7885 acc/mean1: 0.5469 2022/07/22 19:47:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/07/22 19:47:36 - mmengine - INFO - The best checkpoint with 0.5470 acc/top1 at 23 epoch is saved to best_acc/top1_epoch_23.pth. 2022/07/22 19:47:41 - mmengine - INFO - Epoch(train) [23][20/3757] lr: 1.0000e-02 eta: 19:03:00 time: 0.2812 data_time: 0.0953 memory: 6108 grad_norm: 5.4772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9665 loss: 1.9665 2022/07/22 19:47:46 - mmengine - INFO - Epoch(train) [23][40/3757] lr: 1.0000e-02 eta: 19:02:56 time: 0.2333 data_time: 0.0327 memory: 6108 grad_norm: 5.3614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9510 loss: 1.9510 2022/07/22 19:47:51 - mmengine - INFO - Epoch(train) [23][60/3757] lr: 1.0000e-02 eta: 19:02:52 time: 0.2439 data_time: 0.0186 memory: 6108 grad_norm: 5.5585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3530 loss: 2.3530 2022/07/22 19:47:55 - mmengine - INFO - Epoch(train) [23][80/3757] lr: 1.0000e-02 eta: 19:02:46 time: 0.2221 data_time: 0.0170 memory: 6108 grad_norm: 5.4533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9568 loss: 1.9568 2022/07/22 19:48:00 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 1.0000e-02 eta: 19:02:41 time: 0.2252 data_time: 0.0221 memory: 6108 grad_norm: 5.4831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1170 loss: 2.1170 2022/07/22 19:48:04 - mmengine - INFO - Epoch(train) [23][120/3757] lr: 1.0000e-02 eta: 19:02:35 time: 0.2184 data_time: 0.0259 memory: 6108 grad_norm: 5.4901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7589 loss: 1.7589 2022/07/22 19:48:09 - mmengine - INFO - Epoch(train) [23][140/3757] lr: 1.0000e-02 eta: 19:02:31 time: 0.2417 data_time: 0.0419 memory: 6108 grad_norm: 5.7331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/07/22 19:48:14 - mmengine - INFO - Epoch(train) [23][160/3757] lr: 1.0000e-02 eta: 19:02:26 time: 0.2317 data_time: 0.0203 memory: 6108 grad_norm: 5.5932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0482 loss: 2.0482 2022/07/22 19:48:19 - mmengine - INFO - Epoch(train) [23][180/3757] lr: 1.0000e-02 eta: 19:02:22 time: 0.2378 data_time: 0.0207 memory: 6108 grad_norm: 5.6554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9578 loss: 1.9578 2022/07/22 19:48:23 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 1.0000e-02 eta: 19:02:17 time: 0.2375 data_time: 0.0240 memory: 6108 grad_norm: 5.7191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9946 loss: 1.9946 2022/07/22 19:48:28 - mmengine - INFO - Epoch(train) [23][220/3757] lr: 1.0000e-02 eta: 19:02:12 time: 0.2247 data_time: 0.0217 memory: 6108 grad_norm: 5.4528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9581 loss: 1.9581 2022/07/22 19:48:33 - mmengine - INFO - Epoch(train) [23][240/3757] lr: 1.0000e-02 eta: 19:02:08 time: 0.2417 data_time: 0.0208 memory: 6108 grad_norm: 5.6643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4863 loss: 2.4863 2022/07/22 19:48:37 - mmengine - INFO - Epoch(train) [23][260/3757] lr: 1.0000e-02 eta: 19:02:03 time: 0.2273 data_time: 0.0261 memory: 6108 grad_norm: 5.4229 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2741 loss: 2.2741 2022/07/22 19:48:42 - mmengine - INFO - Epoch(train) [23][280/3757] lr: 1.0000e-02 eta: 19:01:57 time: 0.2276 data_time: 0.0182 memory: 6108 grad_norm: 5.6380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1537 loss: 2.1537 2022/07/22 19:48:46 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 1.0000e-02 eta: 19:01:52 time: 0.2281 data_time: 0.0312 memory: 6108 grad_norm: 5.4607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1253 loss: 2.1253 2022/07/22 19:48:51 - mmengine - INFO - Epoch(train) [23][320/3757] lr: 1.0000e-02 eta: 19:01:49 time: 0.2560 data_time: 0.0212 memory: 6108 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8150 loss: 1.8150 2022/07/22 19:48:56 - mmengine - INFO - Epoch(train) [23][340/3757] lr: 1.0000e-02 eta: 19:01:44 time: 0.2289 data_time: 0.0185 memory: 6108 grad_norm: 5.8764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1099 loss: 2.1099 2022/07/22 19:48:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:49:01 - mmengine - INFO - Epoch(train) [23][360/3757] lr: 1.0000e-02 eta: 19:01:39 time: 0.2311 data_time: 0.0221 memory: 6108 grad_norm: 5.6268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2570 loss: 2.2570 2022/07/22 19:49:05 - mmengine - INFO - Epoch(train) [23][380/3757] lr: 1.0000e-02 eta: 19:01:35 time: 0.2388 data_time: 0.0219 memory: 6108 grad_norm: 5.6064 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2943 loss: 2.2943 2022/07/22 19:49:10 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 1.0000e-02 eta: 19:01:30 time: 0.2279 data_time: 0.0231 memory: 6108 grad_norm: 5.6195 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0830 loss: 2.0830 2022/07/22 19:49:15 - mmengine - INFO - Epoch(train) [23][420/3757] lr: 1.0000e-02 eta: 19:01:25 time: 0.2345 data_time: 0.0266 memory: 6108 grad_norm: 5.5716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0278 loss: 2.0278 2022/07/22 19:49:19 - mmengine - INFO - Epoch(train) [23][440/3757] lr: 1.0000e-02 eta: 19:01:20 time: 0.2280 data_time: 0.0217 memory: 6108 grad_norm: 5.5651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2032 loss: 2.2032 2022/07/22 19:49:24 - mmengine - INFO - Epoch(train) [23][460/3757] lr: 1.0000e-02 eta: 19:01:15 time: 0.2322 data_time: 0.0244 memory: 6108 grad_norm: 5.5879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3959 loss: 2.3959 2022/07/22 19:49:29 - mmengine - INFO - Epoch(train) [23][480/3757] lr: 1.0000e-02 eta: 19:01:11 time: 0.2357 data_time: 0.0222 memory: 6108 grad_norm: 5.5817 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2444 loss: 2.2444 2022/07/22 19:49:33 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 1.0000e-02 eta: 19:01:06 time: 0.2370 data_time: 0.0212 memory: 6108 grad_norm: 5.5261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9749 loss: 1.9749 2022/07/22 19:49:38 - mmengine - INFO - Epoch(train) [23][520/3757] lr: 1.0000e-02 eta: 19:01:01 time: 0.2271 data_time: 0.0199 memory: 6108 grad_norm: 5.5217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2573 loss: 2.2573 2022/07/22 19:49:43 - mmengine - INFO - Epoch(train) [23][540/3757] lr: 1.0000e-02 eta: 19:00:57 time: 0.2421 data_time: 0.0256 memory: 6108 grad_norm: 5.5161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1987 loss: 2.1987 2022/07/22 19:49:47 - mmengine - INFO - Epoch(train) [23][560/3757] lr: 1.0000e-02 eta: 19:00:52 time: 0.2260 data_time: 0.0162 memory: 6108 grad_norm: 5.8880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4637 loss: 2.4637 2022/07/22 19:49:52 - mmengine - INFO - Epoch(train) [23][580/3757] lr: 1.0000e-02 eta: 19:00:46 time: 0.2228 data_time: 0.0246 memory: 6108 grad_norm: 5.3591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9050 loss: 1.9050 2022/07/22 19:49:56 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 1.0000e-02 eta: 19:00:41 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 5.7048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0739 loss: 2.0739 2022/07/22 19:50:01 - mmengine - INFO - Epoch(train) [23][620/3757] lr: 1.0000e-02 eta: 19:00:37 time: 0.2432 data_time: 0.0212 memory: 6108 grad_norm: 5.5739 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8462 loss: 1.8462 2022/07/22 19:50:06 - mmengine - INFO - Epoch(train) [23][640/3757] lr: 1.0000e-02 eta: 19:00:32 time: 0.2347 data_time: 0.0195 memory: 6108 grad_norm: 5.6027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2455 loss: 2.2455 2022/07/22 19:50:11 - mmengine - INFO - Epoch(train) [23][660/3757] lr: 1.0000e-02 eta: 19:00:29 time: 0.2465 data_time: 0.0239 memory: 6108 grad_norm: 5.6969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1841 loss: 2.1841 2022/07/22 19:50:15 - mmengine - INFO - Epoch(train) [23][680/3757] lr: 1.0000e-02 eta: 19:00:23 time: 0.2227 data_time: 0.0156 memory: 6108 grad_norm: 5.6202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8651 loss: 1.8651 2022/07/22 19:50:20 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 1.0000e-02 eta: 19:00:18 time: 0.2306 data_time: 0.0243 memory: 6108 grad_norm: 5.6128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1217 loss: 2.1217 2022/07/22 19:50:25 - mmengine - INFO - Epoch(train) [23][720/3757] lr: 1.0000e-02 eta: 19:00:15 time: 0.2577 data_time: 0.0246 memory: 6108 grad_norm: 5.5788 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2493 loss: 2.2493 2022/07/22 19:50:30 - mmengine - INFO - Epoch(train) [23][740/3757] lr: 1.0000e-02 eta: 19:00:10 time: 0.2265 data_time: 0.0273 memory: 6108 grad_norm: 5.4510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1641 loss: 2.1641 2022/07/22 19:50:35 - mmengine - INFO - Epoch(train) [23][760/3757] lr: 1.0000e-02 eta: 19:00:06 time: 0.2448 data_time: 0.0229 memory: 6108 grad_norm: 5.4241 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1950 loss: 2.1950 2022/07/22 19:50:39 - mmengine - INFO - Epoch(train) [23][780/3757] lr: 1.0000e-02 eta: 19:00:01 time: 0.2279 data_time: 0.0224 memory: 6108 grad_norm: 5.4835 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0779 loss: 2.0779 2022/07/22 19:50:45 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 1.0000e-02 eta: 18:59:59 time: 0.2688 data_time: 0.0163 memory: 6108 grad_norm: 5.5142 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0644 loss: 2.0644 2022/07/22 19:50:49 - mmengine - INFO - Epoch(train) [23][820/3757] lr: 1.0000e-02 eta: 18:59:54 time: 0.2297 data_time: 0.0194 memory: 6108 grad_norm: 5.5556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9745 loss: 1.9745 2022/07/22 19:50:54 - mmengine - INFO - Epoch(train) [23][840/3757] lr: 1.0000e-02 eta: 18:59:50 time: 0.2414 data_time: 0.0256 memory: 6108 grad_norm: 5.3943 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3446 loss: 2.3446 2022/07/22 19:50:59 - mmengine - INFO - Epoch(train) [23][860/3757] lr: 1.0000e-02 eta: 18:59:44 time: 0.2285 data_time: 0.0221 memory: 6108 grad_norm: 5.6488 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9513 loss: 1.9513 2022/07/22 19:51:03 - mmengine - INFO - Epoch(train) [23][880/3757] lr: 1.0000e-02 eta: 18:59:39 time: 0.2295 data_time: 0.0190 memory: 6108 grad_norm: 5.7064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1031 loss: 2.1031 2022/07/22 19:51:08 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 1.0000e-02 eta: 18:59:34 time: 0.2237 data_time: 0.0242 memory: 6108 grad_norm: 5.6482 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0837 loss: 2.0837 2022/07/22 19:51:12 - mmengine - INFO - Epoch(train) [23][920/3757] lr: 1.0000e-02 eta: 18:59:29 time: 0.2350 data_time: 0.0179 memory: 6108 grad_norm: 5.7408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3628 loss: 2.3628 2022/07/22 19:51:17 - mmengine - INFO - Epoch(train) [23][940/3757] lr: 1.0000e-02 eta: 18:59:25 time: 0.2428 data_time: 0.0257 memory: 6108 grad_norm: 5.5458 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0498 loss: 2.0498 2022/07/22 19:51:22 - mmengine - INFO - Epoch(train) [23][960/3757] lr: 1.0000e-02 eta: 18:59:21 time: 0.2366 data_time: 0.0184 memory: 6108 grad_norm: 5.5250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8137 loss: 1.8137 2022/07/22 19:51:26 - mmengine - INFO - Epoch(train) [23][980/3757] lr: 1.0000e-02 eta: 18:59:15 time: 0.2227 data_time: 0.0196 memory: 6108 grad_norm: 5.5516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/07/22 19:51:31 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 1.0000e-02 eta: 18:59:11 time: 0.2389 data_time: 0.0219 memory: 6108 grad_norm: 5.6492 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2230 loss: 2.2230 2022/07/22 19:51:36 - mmengine - INFO - Epoch(train) [23][1020/3757] lr: 1.0000e-02 eta: 18:59:06 time: 0.2262 data_time: 0.0244 memory: 6108 grad_norm: 5.4737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0372 loss: 2.0372 2022/07/22 19:51:40 - mmengine - INFO - Epoch(train) [23][1040/3757] lr: 1.0000e-02 eta: 18:59:01 time: 0.2298 data_time: 0.0180 memory: 6108 grad_norm: 5.4925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9915 loss: 1.9915 2022/07/22 19:51:45 - mmengine - INFO - Epoch(train) [23][1060/3757] lr: 1.0000e-02 eta: 18:58:56 time: 0.2366 data_time: 0.0213 memory: 6108 grad_norm: 5.6265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8443 loss: 1.8443 2022/07/22 19:51:51 - mmengine - INFO - Epoch(train) [23][1080/3757] lr: 1.0000e-02 eta: 18:58:54 time: 0.2718 data_time: 0.0708 memory: 6108 grad_norm: 5.6997 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2525 loss: 2.2525 2022/07/22 19:51:55 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 1.0000e-02 eta: 18:58:49 time: 0.2247 data_time: 0.0269 memory: 6108 grad_norm: 5.6452 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0932 loss: 2.0932 2022/07/22 19:51:59 - mmengine - INFO - Epoch(train) [23][1120/3757] lr: 1.0000e-02 eta: 18:58:44 time: 0.2232 data_time: 0.0190 memory: 6108 grad_norm: 5.5717 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8776 loss: 1.8776 2022/07/22 19:52:04 - mmengine - INFO - Epoch(train) [23][1140/3757] lr: 1.0000e-02 eta: 18:58:38 time: 0.2280 data_time: 0.0236 memory: 6108 grad_norm: 5.4341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/07/22 19:52:09 - mmengine - INFO - Epoch(train) [23][1160/3757] lr: 1.0000e-02 eta: 18:58:35 time: 0.2490 data_time: 0.0213 memory: 6108 grad_norm: 5.6262 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1068 loss: 2.1068 2022/07/22 19:52:14 - mmengine - INFO - Epoch(train) [23][1180/3757] lr: 1.0000e-02 eta: 18:58:31 time: 0.2478 data_time: 0.0201 memory: 6108 grad_norm: 5.7023 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2915 loss: 2.2915 2022/07/22 19:52:19 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 1.0000e-02 eta: 18:58:26 time: 0.2289 data_time: 0.0211 memory: 6108 grad_norm: 5.6218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1201 loss: 2.1201 2022/07/22 19:52:23 - mmengine - INFO - Epoch(train) [23][1220/3757] lr: 1.0000e-02 eta: 18:58:21 time: 0.2278 data_time: 0.0240 memory: 6108 grad_norm: 5.6063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9754 loss: 1.9754 2022/07/22 19:52:28 - mmengine - INFO - Epoch(train) [23][1240/3757] lr: 1.0000e-02 eta: 18:58:16 time: 0.2269 data_time: 0.0221 memory: 6108 grad_norm: 5.7023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9507 loss: 1.9507 2022/07/22 19:52:33 - mmengine - INFO - Epoch(train) [23][1260/3757] lr: 1.0000e-02 eta: 18:58:13 time: 0.2614 data_time: 0.0216 memory: 6108 grad_norm: 5.6133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2378 loss: 2.2378 2022/07/22 19:52:37 - mmengine - INFO - Epoch(train) [23][1280/3757] lr: 1.0000e-02 eta: 18:58:07 time: 0.2215 data_time: 0.0208 memory: 6108 grad_norm: 5.6011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0574 loss: 2.0574 2022/07/22 19:52:42 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 1.0000e-02 eta: 18:58:02 time: 0.2273 data_time: 0.0206 memory: 6108 grad_norm: 5.7235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9406 loss: 1.9406 2022/07/22 19:52:46 - mmengine - INFO - Epoch(train) [23][1320/3757] lr: 1.0000e-02 eta: 18:57:57 time: 0.2243 data_time: 0.0212 memory: 6108 grad_norm: 5.7043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/07/22 19:52:52 - mmengine - INFO - Epoch(train) [23][1340/3757] lr: 1.0000e-02 eta: 18:57:54 time: 0.2618 data_time: 0.0233 memory: 6108 grad_norm: 5.4656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0316 loss: 2.0316 2022/07/22 19:52:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:52:56 - mmengine - INFO - Epoch(train) [23][1360/3757] lr: 1.0000e-02 eta: 18:57:49 time: 0.2225 data_time: 0.0235 memory: 6108 grad_norm: 5.5295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3081 loss: 2.3081 2022/07/22 19:53:01 - mmengine - INFO - Epoch(train) [23][1380/3757] lr: 1.0000e-02 eta: 18:57:44 time: 0.2354 data_time: 0.0229 memory: 6108 grad_norm: 5.5004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1582 loss: 2.1582 2022/07/22 19:53:05 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 1.0000e-02 eta: 18:57:39 time: 0.2220 data_time: 0.0225 memory: 6108 grad_norm: 5.4806 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9804 loss: 1.9804 2022/07/22 19:53:10 - mmengine - INFO - Epoch(train) [23][1420/3757] lr: 1.0000e-02 eta: 18:57:34 time: 0.2352 data_time: 0.0196 memory: 6108 grad_norm: 5.7483 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2554 loss: 2.2554 2022/07/22 19:53:15 - mmengine - INFO - Epoch(train) [23][1440/3757] lr: 1.0000e-02 eta: 18:57:29 time: 0.2297 data_time: 0.0282 memory: 6108 grad_norm: 5.5969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0232 loss: 2.0232 2022/07/22 19:53:19 - mmengine - INFO - Epoch(train) [23][1460/3757] lr: 1.0000e-02 eta: 18:57:24 time: 0.2260 data_time: 0.0231 memory: 6108 grad_norm: 5.5756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9282 loss: 1.9282 2022/07/22 19:53:24 - mmengine - INFO - Epoch(train) [23][1480/3757] lr: 1.0000e-02 eta: 18:57:19 time: 0.2294 data_time: 0.0193 memory: 6108 grad_norm: 5.7052 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9489 loss: 1.9489 2022/07/22 19:53:29 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 1.0000e-02 eta: 18:57:15 time: 0.2505 data_time: 0.0234 memory: 6108 grad_norm: 5.7726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0664 loss: 2.0664 2022/07/22 19:53:33 - mmengine - INFO - Epoch(train) [23][1520/3757] lr: 1.0000e-02 eta: 18:57:10 time: 0.2282 data_time: 0.0197 memory: 6108 grad_norm: 5.5201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0457 loss: 2.0457 2022/07/22 19:53:38 - mmengine - INFO - Epoch(train) [23][1540/3757] lr: 1.0000e-02 eta: 18:57:06 time: 0.2357 data_time: 0.0181 memory: 6108 grad_norm: 5.4770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1560 loss: 2.1560 2022/07/22 19:53:43 - mmengine - INFO - Epoch(train) [23][1560/3757] lr: 1.0000e-02 eta: 18:57:01 time: 0.2358 data_time: 0.0279 memory: 6108 grad_norm: 5.6658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4026 loss: 2.4026 2022/07/22 19:53:47 - mmengine - INFO - Epoch(train) [23][1580/3757] lr: 1.0000e-02 eta: 18:56:56 time: 0.2252 data_time: 0.0233 memory: 6108 grad_norm: 5.7429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2924 loss: 2.2924 2022/07/22 19:53:52 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 1.0000e-02 eta: 18:56:51 time: 0.2292 data_time: 0.0221 memory: 6108 grad_norm: 5.7966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9543 loss: 1.9543 2022/07/22 19:53:57 - mmengine - INFO - Epoch(train) [23][1620/3757] lr: 1.0000e-02 eta: 18:56:47 time: 0.2550 data_time: 0.0580 memory: 6108 grad_norm: 5.5410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8344 loss: 1.8344 2022/07/22 19:54:02 - mmengine - INFO - Epoch(train) [23][1640/3757] lr: 1.0000e-02 eta: 18:56:43 time: 0.2308 data_time: 0.0296 memory: 6108 grad_norm: 5.5125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0249 loss: 2.0249 2022/07/22 19:54:06 - mmengine - INFO - Epoch(train) [23][1660/3757] lr: 1.0000e-02 eta: 18:56:38 time: 0.2339 data_time: 0.0316 memory: 6108 grad_norm: 5.6575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2271 loss: 2.2271 2022/07/22 19:54:11 - mmengine - INFO - Epoch(train) [23][1680/3757] lr: 1.0000e-02 eta: 18:56:34 time: 0.2436 data_time: 0.0258 memory: 6108 grad_norm: 5.4230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9404 loss: 1.9404 2022/07/22 19:54:16 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 1.0000e-02 eta: 18:56:29 time: 0.2246 data_time: 0.0178 memory: 6108 grad_norm: 5.5332 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2627 loss: 2.2627 2022/07/22 19:54:20 - mmengine - INFO - Epoch(train) [23][1720/3757] lr: 1.0000e-02 eta: 18:56:23 time: 0.2188 data_time: 0.0201 memory: 6108 grad_norm: 5.4945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3634 loss: 2.3634 2022/07/22 19:54:25 - mmengine - INFO - Epoch(train) [23][1740/3757] lr: 1.0000e-02 eta: 18:56:18 time: 0.2297 data_time: 0.0264 memory: 6108 grad_norm: 5.5426 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2532 loss: 2.2532 2022/07/22 19:54:29 - mmengine - INFO - Epoch(train) [23][1760/3757] lr: 1.0000e-02 eta: 18:56:12 time: 0.2219 data_time: 0.0214 memory: 6108 grad_norm: 5.6692 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1773 loss: 2.1773 2022/07/22 19:54:34 - mmengine - INFO - Epoch(train) [23][1780/3757] lr: 1.0000e-02 eta: 18:56:08 time: 0.2339 data_time: 0.0227 memory: 6108 grad_norm: 5.6044 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8439 loss: 1.8439 2022/07/22 19:54:38 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 1.0000e-02 eta: 18:56:03 time: 0.2331 data_time: 0.0324 memory: 6108 grad_norm: 5.7184 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9330 loss: 1.9330 2022/07/22 19:54:43 - mmengine - INFO - Epoch(train) [23][1820/3757] lr: 1.0000e-02 eta: 18:55:58 time: 0.2387 data_time: 0.0165 memory: 6108 grad_norm: 5.6162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2720 loss: 2.2720 2022/07/22 19:54:48 - mmengine - INFO - Epoch(train) [23][1840/3757] lr: 1.0000e-02 eta: 18:55:53 time: 0.2264 data_time: 0.0237 memory: 6108 grad_norm: 5.4233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3145 loss: 2.3145 2022/07/22 19:54:53 - mmengine - INFO - Epoch(train) [23][1860/3757] lr: 1.0000e-02 eta: 18:55:49 time: 0.2369 data_time: 0.0233 memory: 6108 grad_norm: 5.4064 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2414 loss: 2.2414 2022/07/22 19:54:57 - mmengine - INFO - Epoch(train) [23][1880/3757] lr: 1.0000e-02 eta: 18:55:44 time: 0.2300 data_time: 0.0213 memory: 6108 grad_norm: 5.5201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1661 loss: 2.1661 2022/07/22 19:55:02 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 1.0000e-02 eta: 18:55:39 time: 0.2355 data_time: 0.0217 memory: 6108 grad_norm: 5.6465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1233 loss: 2.1233 2022/07/22 19:55:06 - mmengine - INFO - Epoch(train) [23][1920/3757] lr: 1.0000e-02 eta: 18:55:34 time: 0.2259 data_time: 0.0260 memory: 6108 grad_norm: 5.4795 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0356 loss: 2.0356 2022/07/22 19:55:11 - mmengine - INFO - Epoch(train) [23][1940/3757] lr: 1.0000e-02 eta: 18:55:29 time: 0.2358 data_time: 0.0240 memory: 6108 grad_norm: 5.5703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3814 loss: 2.3814 2022/07/22 19:55:16 - mmengine - INFO - Epoch(train) [23][1960/3757] lr: 1.0000e-02 eta: 18:55:26 time: 0.2479 data_time: 0.0195 memory: 6108 grad_norm: 5.6398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2108 loss: 2.2108 2022/07/22 19:55:21 - mmengine - INFO - Epoch(train) [23][1980/3757] lr: 1.0000e-02 eta: 18:55:21 time: 0.2265 data_time: 0.0275 memory: 6108 grad_norm: 5.5449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2588 loss: 2.2588 2022/07/22 19:55:25 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 1.0000e-02 eta: 18:55:16 time: 0.2297 data_time: 0.0218 memory: 6108 grad_norm: 5.5868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0298 loss: 2.0298 2022/07/22 19:55:30 - mmengine - INFO - Epoch(train) [23][2020/3757] lr: 1.0000e-02 eta: 18:55:10 time: 0.2207 data_time: 0.0205 memory: 6108 grad_norm: 5.6861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4082 loss: 2.4082 2022/07/22 19:55:35 - mmengine - INFO - Epoch(train) [23][2040/3757] lr: 1.0000e-02 eta: 18:55:06 time: 0.2490 data_time: 0.0282 memory: 6108 grad_norm: 5.3657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4719 loss: 2.4719 2022/07/22 19:55:39 - mmengine - INFO - Epoch(train) [23][2060/3757] lr: 1.0000e-02 eta: 18:55:01 time: 0.2320 data_time: 0.0206 memory: 6108 grad_norm: 5.4334 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0955 loss: 2.0955 2022/07/22 19:55:44 - mmengine - INFO - Epoch(train) [23][2080/3757] lr: 1.0000e-02 eta: 18:54:57 time: 0.2370 data_time: 0.0311 memory: 6108 grad_norm: 5.4686 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9649 loss: 1.9649 2022/07/22 19:55:49 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 1.0000e-02 eta: 18:54:52 time: 0.2312 data_time: 0.0204 memory: 6108 grad_norm: 5.5068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1402 loss: 2.1402 2022/07/22 19:55:53 - mmengine - INFO - Epoch(train) [23][2120/3757] lr: 1.0000e-02 eta: 18:54:47 time: 0.2253 data_time: 0.0230 memory: 6108 grad_norm: 5.5351 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1461 loss: 2.1461 2022/07/22 19:55:58 - mmengine - INFO - Epoch(train) [23][2140/3757] lr: 1.0000e-02 eta: 18:54:41 time: 0.2212 data_time: 0.0192 memory: 6108 grad_norm: 5.7425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9482 loss: 1.9482 2022/07/22 19:56:03 - mmengine - INFO - Epoch(train) [23][2160/3757] lr: 1.0000e-02 eta: 18:54:38 time: 0.2573 data_time: 0.0240 memory: 6108 grad_norm: 5.5071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0639 loss: 2.0639 2022/07/22 19:56:07 - mmengine - INFO - Epoch(train) [23][2180/3757] lr: 1.0000e-02 eta: 18:54:33 time: 0.2252 data_time: 0.0268 memory: 6108 grad_norm: 5.7130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2170 loss: 2.2170 2022/07/22 19:56:12 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 1.0000e-02 eta: 18:54:28 time: 0.2246 data_time: 0.0247 memory: 6108 grad_norm: 5.5623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0536 loss: 2.0536 2022/07/22 19:56:16 - mmengine - INFO - Epoch(train) [23][2220/3757] lr: 1.0000e-02 eta: 18:54:22 time: 0.2217 data_time: 0.0213 memory: 6108 grad_norm: 5.6730 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8934 loss: 1.8934 2022/07/22 19:56:21 - mmengine - INFO - Epoch(train) [23][2240/3757] lr: 1.0000e-02 eta: 18:54:16 time: 0.2213 data_time: 0.0257 memory: 6108 grad_norm: 5.6034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9576 loss: 1.9576 2022/07/22 19:56:26 - mmengine - INFO - Epoch(train) [23][2260/3757] lr: 1.0000e-02 eta: 18:54:13 time: 0.2505 data_time: 0.0390 memory: 6108 grad_norm: 5.6599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1384 loss: 2.1384 2022/07/22 19:56:30 - mmengine - INFO - Epoch(train) [23][2280/3757] lr: 1.0000e-02 eta: 18:54:08 time: 0.2355 data_time: 0.0226 memory: 6108 grad_norm: 5.6088 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9716 loss: 1.9716 2022/07/22 19:56:35 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 1.0000e-02 eta: 18:54:03 time: 0.2286 data_time: 0.0202 memory: 6108 grad_norm: 5.7140 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1363 loss: 2.1363 2022/07/22 19:56:39 - mmengine - INFO - Epoch(train) [23][2320/3757] lr: 1.0000e-02 eta: 18:53:58 time: 0.2221 data_time: 0.0227 memory: 6108 grad_norm: 5.6727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2072 loss: 2.2072 2022/07/22 19:56:44 - mmengine - INFO - Epoch(train) [23][2340/3757] lr: 1.0000e-02 eta: 18:53:53 time: 0.2378 data_time: 0.0201 memory: 6108 grad_norm: 5.6299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3473 loss: 2.3473 2022/07/22 19:56:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 19:56:49 - mmengine - INFO - Epoch(train) [23][2360/3757] lr: 1.0000e-02 eta: 18:53:48 time: 0.2194 data_time: 0.0224 memory: 6108 grad_norm: 5.6314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0832 loss: 2.0832 2022/07/22 19:56:53 - mmengine - INFO - Epoch(train) [23][2380/3757] lr: 1.0000e-02 eta: 18:53:43 time: 0.2314 data_time: 0.0194 memory: 6108 grad_norm: 5.5453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1359 loss: 2.1359 2022/07/22 19:56:58 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 1.0000e-02 eta: 18:53:37 time: 0.2215 data_time: 0.0233 memory: 6108 grad_norm: 5.6526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0844 loss: 2.0844 2022/07/22 19:57:03 - mmengine - INFO - Epoch(train) [23][2420/3757] lr: 1.0000e-02 eta: 18:53:33 time: 0.2416 data_time: 0.0214 memory: 6108 grad_norm: 5.6425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0767 loss: 2.0767 2022/07/22 19:57:07 - mmengine - INFO - Epoch(train) [23][2440/3757] lr: 1.0000e-02 eta: 18:53:28 time: 0.2301 data_time: 0.0194 memory: 6108 grad_norm: 5.5037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8857 loss: 1.8857 2022/07/22 19:57:13 - mmengine - INFO - Epoch(train) [23][2460/3757] lr: 1.0000e-02 eta: 18:53:27 time: 0.2864 data_time: 0.0190 memory: 6108 grad_norm: 5.5500 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1120 loss: 2.1120 2022/07/22 19:57:18 - mmengine - INFO - Epoch(train) [23][2480/3757] lr: 1.0000e-02 eta: 18:53:23 time: 0.2358 data_time: 0.0224 memory: 6108 grad_norm: 5.4657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/07/22 19:57:23 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 1.0000e-02 eta: 18:53:19 time: 0.2560 data_time: 0.0231 memory: 6108 grad_norm: 5.4841 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9653 loss: 1.9653 2022/07/22 19:57:27 - mmengine - INFO - Epoch(train) [23][2520/3757] lr: 1.0000e-02 eta: 18:53:14 time: 0.2206 data_time: 0.0193 memory: 6108 grad_norm: 5.4521 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/07/22 19:57:32 - mmengine - INFO - Epoch(train) [23][2540/3757] lr: 1.0000e-02 eta: 18:53:08 time: 0.2236 data_time: 0.0196 memory: 6108 grad_norm: 5.6213 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9009 loss: 1.9009 2022/07/22 19:57:36 - mmengine - INFO - Epoch(train) [23][2560/3757] lr: 1.0000e-02 eta: 18:53:03 time: 0.2247 data_time: 0.0236 memory: 6108 grad_norm: 5.5707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2676 loss: 2.2676 2022/07/22 19:57:41 - mmengine - INFO - Epoch(train) [23][2580/3757] lr: 1.0000e-02 eta: 18:52:58 time: 0.2228 data_time: 0.0188 memory: 6108 grad_norm: 5.5822 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8124 loss: 1.8124 2022/07/22 19:57:46 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 1.0000e-02 eta: 18:52:54 time: 0.2438 data_time: 0.0189 memory: 6108 grad_norm: 5.7685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8350 loss: 1.8350 2022/07/22 19:57:50 - mmengine - INFO - Epoch(train) [23][2620/3757] lr: 1.0000e-02 eta: 18:52:49 time: 0.2302 data_time: 0.0192 memory: 6108 grad_norm: 5.7392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1154 loss: 2.1154 2022/07/22 19:57:55 - mmengine - INFO - Epoch(train) [23][2640/3757] lr: 1.0000e-02 eta: 18:52:43 time: 0.2238 data_time: 0.0225 memory: 6108 grad_norm: 5.6541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3559 loss: 2.3559 2022/07/22 19:57:59 - mmengine - INFO - Epoch(train) [23][2660/3757] lr: 1.0000e-02 eta: 18:52:38 time: 0.2222 data_time: 0.0226 memory: 6108 grad_norm: 5.5885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0825 loss: 2.0825 2022/07/22 19:58:04 - mmengine - INFO - Epoch(train) [23][2680/3757] lr: 1.0000e-02 eta: 18:52:35 time: 0.2625 data_time: 0.0198 memory: 6108 grad_norm: 5.4728 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9518 loss: 1.9518 2022/07/22 19:58:09 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 1.0000e-02 eta: 18:52:30 time: 0.2245 data_time: 0.0271 memory: 6108 grad_norm: 5.3969 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2083 loss: 2.2083 2022/07/22 19:58:13 - mmengine - INFO - Epoch(train) [23][2720/3757] lr: 1.0000e-02 eta: 18:52:24 time: 0.2234 data_time: 0.0231 memory: 6108 grad_norm: 5.5149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8393 loss: 1.8393 2022/07/22 19:58:18 - mmengine - INFO - Epoch(train) [23][2740/3757] lr: 1.0000e-02 eta: 18:52:19 time: 0.2292 data_time: 0.0209 memory: 6108 grad_norm: 5.6572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1656 loss: 2.1656 2022/07/22 19:58:23 - mmengine - INFO - Epoch(train) [23][2760/3757] lr: 1.0000e-02 eta: 18:52:15 time: 0.2385 data_time: 0.0194 memory: 6108 grad_norm: 5.6246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4099 loss: 2.4099 2022/07/22 19:58:27 - mmengine - INFO - Epoch(train) [23][2780/3757] lr: 1.0000e-02 eta: 18:52:10 time: 0.2252 data_time: 0.0199 memory: 6108 grad_norm: 5.4651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9180 loss: 1.9180 2022/07/22 19:58:32 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 1.0000e-02 eta: 18:52:05 time: 0.2279 data_time: 0.0279 memory: 6108 grad_norm: 5.7823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9899 loss: 1.9899 2022/07/22 19:58:37 - mmengine - INFO - Epoch(train) [23][2820/3757] lr: 1.0000e-02 eta: 18:52:00 time: 0.2402 data_time: 0.0291 memory: 6108 grad_norm: 5.7426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1032 loss: 2.1032 2022/07/22 19:58:42 - mmengine - INFO - Epoch(train) [23][2840/3757] lr: 1.0000e-02 eta: 18:51:57 time: 0.2507 data_time: 0.0218 memory: 6108 grad_norm: 5.6252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4134 loss: 2.4134 2022/07/22 19:58:46 - mmengine - INFO - Epoch(train) [23][2860/3757] lr: 1.0000e-02 eta: 18:51:51 time: 0.2239 data_time: 0.0221 memory: 6108 grad_norm: 5.5103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1099 loss: 2.1099 2022/07/22 19:58:51 - mmengine - INFO - Epoch(train) [23][2880/3757] lr: 1.0000e-02 eta: 18:51:46 time: 0.2215 data_time: 0.0171 memory: 6108 grad_norm: 5.5736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0565 loss: 2.0565 2022/07/22 19:58:55 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 1.0000e-02 eta: 18:51:42 time: 0.2415 data_time: 0.0253 memory: 6108 grad_norm: 5.6761 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1547 loss: 2.1547 2022/07/22 19:59:00 - mmengine - INFO - Epoch(train) [23][2920/3757] lr: 1.0000e-02 eta: 18:51:36 time: 0.2271 data_time: 0.0220 memory: 6108 grad_norm: 5.6234 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9758 loss: 1.9758 2022/07/22 19:59:05 - mmengine - INFO - Epoch(train) [23][2940/3757] lr: 1.0000e-02 eta: 18:51:35 time: 0.2752 data_time: 0.0200 memory: 6108 grad_norm: 5.5810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2201 loss: 2.2201 2022/07/22 19:59:10 - mmengine - INFO - Epoch(train) [23][2960/3757] lr: 1.0000e-02 eta: 18:51:30 time: 0.2395 data_time: 0.0155 memory: 6108 grad_norm: 5.2782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2187 loss: 2.2187 2022/07/22 19:59:15 - mmengine - INFO - Epoch(train) [23][2980/3757] lr: 1.0000e-02 eta: 18:51:26 time: 0.2335 data_time: 0.0179 memory: 6108 grad_norm: 5.5444 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3428 loss: 2.3428 2022/07/22 19:59:20 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 1.0000e-02 eta: 18:51:21 time: 0.2412 data_time: 0.0179 memory: 6108 grad_norm: 5.4906 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9734 loss: 1.9734 2022/07/22 19:59:26 - mmengine - INFO - Epoch(train) [23][3020/3757] lr: 1.0000e-02 eta: 18:51:20 time: 0.2872 data_time: 0.0229 memory: 6108 grad_norm: 5.5343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8025 loss: 1.8025 2022/07/22 19:59:30 - mmengine - INFO - Epoch(train) [23][3040/3757] lr: 1.0000e-02 eta: 18:51:16 time: 0.2434 data_time: 0.0185 memory: 6108 grad_norm: 5.6532 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2792 loss: 2.2792 2022/07/22 19:59:35 - mmengine - INFO - Epoch(train) [23][3060/3757] lr: 1.0000e-02 eta: 18:51:11 time: 0.2277 data_time: 0.0250 memory: 6108 grad_norm: 5.8216 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8220 loss: 1.8220 2022/07/22 19:59:39 - mmengine - INFO - Epoch(train) [23][3080/3757] lr: 1.0000e-02 eta: 18:51:06 time: 0.2215 data_time: 0.0224 memory: 6108 grad_norm: 5.6188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1437 loss: 2.1437 2022/07/22 19:59:44 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 1.0000e-02 eta: 18:51:02 time: 0.2457 data_time: 0.0227 memory: 6108 grad_norm: 5.6916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7592 loss: 1.7592 2022/07/22 19:59:49 - mmengine - INFO - Epoch(train) [23][3120/3757] lr: 1.0000e-02 eta: 18:50:57 time: 0.2279 data_time: 0.0251 memory: 6108 grad_norm: 5.7307 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0536 loss: 2.0536 2022/07/22 19:59:53 - mmengine - INFO - Epoch(train) [23][3140/3757] lr: 1.0000e-02 eta: 18:50:51 time: 0.2225 data_time: 0.0209 memory: 6108 grad_norm: 5.8421 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3083 loss: 2.3083 2022/07/22 19:59:58 - mmengine - INFO - Epoch(train) [23][3160/3757] lr: 1.0000e-02 eta: 18:50:46 time: 0.2238 data_time: 0.0176 memory: 6108 grad_norm: 5.8139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2984 loss: 2.2984 2022/07/22 20:00:02 - mmengine - INFO - Epoch(train) [23][3180/3757] lr: 1.0000e-02 eta: 18:50:41 time: 0.2304 data_time: 0.0254 memory: 6108 grad_norm: 5.4534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2010 loss: 2.2010 2022/07/22 20:00:07 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 1.0000e-02 eta: 18:50:36 time: 0.2343 data_time: 0.0210 memory: 6108 grad_norm: 5.6326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0570 loss: 2.0570 2022/07/22 20:00:12 - mmengine - INFO - Epoch(train) [23][3220/3757] lr: 1.0000e-02 eta: 18:50:31 time: 0.2297 data_time: 0.0206 memory: 6108 grad_norm: 5.6238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4300 loss: 2.4300 2022/07/22 20:00:17 - mmengine - INFO - Epoch(train) [23][3240/3757] lr: 1.0000e-02 eta: 18:50:27 time: 0.2384 data_time: 0.0217 memory: 6108 grad_norm: 5.4889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3184 loss: 2.3184 2022/07/22 20:00:21 - mmengine - INFO - Epoch(train) [23][3260/3757] lr: 1.0000e-02 eta: 18:50:21 time: 0.2242 data_time: 0.0168 memory: 6108 grad_norm: 5.6351 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3264 loss: 2.3264 2022/07/22 20:00:26 - mmengine - INFO - Epoch(train) [23][3280/3757] lr: 1.0000e-02 eta: 18:50:18 time: 0.2506 data_time: 0.0206 memory: 6108 grad_norm: 5.6021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0593 loss: 2.0593 2022/07/22 20:00:31 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 1.0000e-02 eta: 18:50:13 time: 0.2314 data_time: 0.0206 memory: 6108 grad_norm: 5.8099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/07/22 20:00:36 - mmengine - INFO - Epoch(train) [23][3320/3757] lr: 1.0000e-02 eta: 18:50:10 time: 0.2585 data_time: 0.0175 memory: 6108 grad_norm: 5.5747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8442 loss: 1.8442 2022/07/22 20:00:40 - mmengine - INFO - Epoch(train) [23][3340/3757] lr: 1.0000e-02 eta: 18:50:05 time: 0.2311 data_time: 0.0162 memory: 6108 grad_norm: 5.6157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4118 loss: 2.4118 2022/07/22 20:00:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:00:45 - mmengine - INFO - Epoch(train) [23][3360/3757] lr: 1.0000e-02 eta: 18:50:01 time: 0.2374 data_time: 0.0200 memory: 6108 grad_norm: 5.5686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1104 loss: 2.1104 2022/07/22 20:00:50 - mmengine - INFO - Epoch(train) [23][3380/3757] lr: 1.0000e-02 eta: 18:49:56 time: 0.2269 data_time: 0.0183 memory: 6108 grad_norm: 5.4634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8976 loss: 1.8976 2022/07/22 20:00:54 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 1.0000e-02 eta: 18:49:50 time: 0.2261 data_time: 0.0199 memory: 6108 grad_norm: 5.5653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4146 loss: 2.4146 2022/07/22 20:00:59 - mmengine - INFO - Epoch(train) [23][3420/3757] lr: 1.0000e-02 eta: 18:49:45 time: 0.2253 data_time: 0.0243 memory: 6108 grad_norm: 5.5271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1663 loss: 2.1663 2022/07/22 20:01:04 - mmengine - INFO - Epoch(train) [23][3440/3757] lr: 1.0000e-02 eta: 18:49:42 time: 0.2579 data_time: 0.0276 memory: 6108 grad_norm: 5.5386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1443 loss: 2.1443 2022/07/22 20:01:09 - mmengine - INFO - Epoch(train) [23][3460/3757] lr: 1.0000e-02 eta: 18:49:37 time: 0.2244 data_time: 0.0200 memory: 6108 grad_norm: 5.6029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9115 loss: 1.9115 2022/07/22 20:01:13 - mmengine - INFO - Epoch(train) [23][3480/3757] lr: 1.0000e-02 eta: 18:49:31 time: 0.2243 data_time: 0.0254 memory: 6108 grad_norm: 5.4279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8610 loss: 1.8610 2022/07/22 20:01:18 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 1.0000e-02 eta: 18:49:26 time: 0.2254 data_time: 0.0195 memory: 6108 grad_norm: 5.5269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7649 loss: 1.7649 2022/07/22 20:01:22 - mmengine - INFO - Epoch(train) [23][3520/3757] lr: 1.0000e-02 eta: 18:49:22 time: 0.2363 data_time: 0.0217 memory: 6108 grad_norm: 5.5020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8814 loss: 1.8814 2022/07/22 20:01:27 - mmengine - INFO - Epoch(train) [23][3540/3757] lr: 1.0000e-02 eta: 18:49:16 time: 0.2262 data_time: 0.0210 memory: 6108 grad_norm: 5.6112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7573 loss: 1.7573 2022/07/22 20:01:31 - mmengine - INFO - Epoch(train) [23][3560/3757] lr: 1.0000e-02 eta: 18:49:11 time: 0.2227 data_time: 0.0186 memory: 6108 grad_norm: 5.6610 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0521 loss: 2.0521 2022/07/22 20:01:36 - mmengine - INFO - Epoch(train) [23][3580/3757] lr: 1.0000e-02 eta: 18:49:06 time: 0.2321 data_time: 0.0188 memory: 6108 grad_norm: 5.6706 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2236 loss: 2.2236 2022/07/22 20:01:40 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 1.0000e-02 eta: 18:49:01 time: 0.2236 data_time: 0.0225 memory: 6108 grad_norm: 5.4393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7957 loss: 1.7957 2022/07/22 20:01:46 - mmengine - INFO - Epoch(train) [23][3620/3757] lr: 1.0000e-02 eta: 18:48:58 time: 0.2568 data_time: 0.0215 memory: 6108 grad_norm: 5.5785 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2138 loss: 2.2138 2022/07/22 20:01:50 - mmengine - INFO - Epoch(train) [23][3640/3757] lr: 1.0000e-02 eta: 18:48:52 time: 0.2289 data_time: 0.0168 memory: 6108 grad_norm: 5.6652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3983 loss: 2.3983 2022/07/22 20:01:55 - mmengine - INFO - Epoch(train) [23][3660/3757] lr: 1.0000e-02 eta: 18:48:48 time: 0.2370 data_time: 0.0246 memory: 6108 grad_norm: 5.5784 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1145 loss: 2.1145 2022/07/22 20:02:00 - mmengine - INFO - Epoch(train) [23][3680/3757] lr: 1.0000e-02 eta: 18:48:43 time: 0.2344 data_time: 0.0214 memory: 6108 grad_norm: 5.5203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3229 loss: 2.3229 2022/07/22 20:02:04 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 1.0000e-02 eta: 18:48:38 time: 0.2266 data_time: 0.0155 memory: 6108 grad_norm: 5.3965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3581 loss: 2.3581 2022/07/22 20:02:09 - mmengine - INFO - Epoch(train) [23][3720/3757] lr: 1.0000e-02 eta: 18:48:33 time: 0.2245 data_time: 0.0268 memory: 6108 grad_norm: 5.4814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3536 loss: 2.3536 2022/07/22 20:02:14 - mmengine - INFO - Epoch(train) [23][3740/3757] lr: 1.0000e-02 eta: 18:48:29 time: 0.2440 data_time: 0.0336 memory: 6108 grad_norm: 5.7257 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0543 loss: 2.0543 2022/07/22 20:02:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:02:17 - mmengine - INFO - Epoch(train) [23][3757/3757] lr: 1.0000e-02 eta: 18:48:29 time: 0.1940 data_time: 0.0161 memory: 6108 grad_norm: 5.7003 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1113 loss: 2.1113 2022/07/22 20:02:23 - mmengine - INFO - Epoch(val) [23][20/310] eta: 0:01:23 time: 0.2885 data_time: 0.2096 memory: 1428 2022/07/22 20:02:27 - mmengine - INFO - Epoch(val) [23][40/310] eta: 0:00:55 time: 0.2056 data_time: 0.1278 memory: 1428 2022/07/22 20:02:31 - mmengine - INFO - Epoch(val) [23][60/310] eta: 0:00:52 time: 0.2098 data_time: 0.1315 memory: 1428 2022/07/22 20:02:35 - mmengine - INFO - Epoch(val) [23][80/310] eta: 0:00:42 time: 0.1834 data_time: 0.1081 memory: 1428 2022/07/22 20:02:39 - mmengine - INFO - Epoch(val) [23][100/310] eta: 0:00:47 time: 0.2271 data_time: 0.1535 memory: 1428 2022/07/22 20:02:43 - mmengine - INFO - Epoch(val) [23][120/310] eta: 0:00:40 time: 0.2123 data_time: 0.1378 memory: 1428 2022/07/22 20:02:48 - mmengine - INFO - Epoch(val) [23][140/310] eta: 0:00:36 time: 0.2138 data_time: 0.1382 memory: 1428 2022/07/22 20:02:52 - mmengine - INFO - Epoch(val) [23][160/310] eta: 0:00:33 time: 0.2260 data_time: 0.1469 memory: 1428 2022/07/22 20:02:56 - mmengine - INFO - Epoch(val) [23][180/310] eta: 0:00:25 time: 0.1957 data_time: 0.1175 memory: 1428 2022/07/22 20:03:00 - mmengine - INFO - Epoch(val) [23][200/310] eta: 0:00:23 time: 0.2141 data_time: 0.1369 memory: 1428 2022/07/22 20:03:05 - mmengine - INFO - Epoch(val) [23][220/310] eta: 0:00:22 time: 0.2547 data_time: 0.1825 memory: 1428 2022/07/22 20:03:09 - mmengine - INFO - Epoch(val) [23][240/310] eta: 0:00:13 time: 0.1859 data_time: 0.1103 memory: 1428 2022/07/22 20:03:14 - mmengine - INFO - Epoch(val) [23][260/310] eta: 0:00:12 time: 0.2436 data_time: 0.1703 memory: 1428 2022/07/22 20:03:18 - mmengine - INFO - Epoch(val) [23][280/310] eta: 0:00:05 time: 0.1989 data_time: 0.1230 memory: 1428 2022/07/22 20:03:22 - mmengine - INFO - Epoch(val) [23][300/310] eta: 0:00:02 time: 0.2003 data_time: 0.1302 memory: 1428 2022/07/22 20:03:25 - mmengine - INFO - Epoch(val) [23][310/310] acc/top1: 0.5528 acc/top5: 0.7935 acc/mean1: 0.5527 2022/07/22 20:03:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_23.pth is removed 2022/07/22 20:03:28 - mmengine - INFO - The best checkpoint with 0.5528 acc/top1 at 24 epoch is saved to best_acc/top1_epoch_24.pth. 2022/07/22 20:03:33 - mmengine - INFO - Epoch(train) [24][20/3757] lr: 1.0000e-02 eta: 18:48:11 time: 0.2909 data_time: 0.1006 memory: 6108 grad_norm: 5.4956 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9986 loss: 1.9986 2022/07/22 20:03:38 - mmengine - INFO - Epoch(train) [24][40/3757] lr: 1.0000e-02 eta: 18:48:05 time: 0.2184 data_time: 0.0173 memory: 6108 grad_norm: 5.5073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0832 loss: 2.0832 2022/07/22 20:03:44 - mmengine - INFO - Epoch(train) [24][60/3757] lr: 1.0000e-02 eta: 18:48:05 time: 0.3093 data_time: 0.0255 memory: 6108 grad_norm: 5.5280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1072 loss: 2.1072 2022/07/22 20:03:48 - mmengine - INFO - Epoch(train) [24][80/3757] lr: 1.0000e-02 eta: 18:47:59 time: 0.2134 data_time: 0.0189 memory: 6108 grad_norm: 5.5740 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1458 loss: 2.1458 2022/07/22 20:03:53 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 1.0000e-02 eta: 18:47:54 time: 0.2323 data_time: 0.0305 memory: 6108 grad_norm: 5.5512 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0898 loss: 2.0898 2022/07/22 20:04:02 - mmengine - INFO - Epoch(train) [24][120/3757] lr: 1.0000e-02 eta: 18:48:06 time: 0.4731 data_time: 0.0170 memory: 6108 grad_norm: 5.6672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1933 loss: 2.1933 2022/07/22 20:04:07 - mmengine - INFO - Epoch(train) [24][140/3757] lr: 1.0000e-02 eta: 18:48:00 time: 0.2211 data_time: 0.0243 memory: 6108 grad_norm: 5.7136 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1164 loss: 2.1164 2022/07/22 20:04:11 - mmengine - INFO - Epoch(train) [24][160/3757] lr: 1.0000e-02 eta: 18:47:55 time: 0.2225 data_time: 0.0184 memory: 6108 grad_norm: 5.5300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3419 loss: 2.3419 2022/07/22 20:04:16 - mmengine - INFO - Epoch(train) [24][180/3757] lr: 1.0000e-02 eta: 18:47:50 time: 0.2334 data_time: 0.0232 memory: 6108 grad_norm: 5.6864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1366 loss: 2.1366 2022/07/22 20:04:20 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 1.0000e-02 eta: 18:47:45 time: 0.2261 data_time: 0.0231 memory: 6108 grad_norm: 5.6754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1178 loss: 2.1178 2022/07/22 20:04:25 - mmengine - INFO - Epoch(train) [24][220/3757] lr: 1.0000e-02 eta: 18:47:41 time: 0.2506 data_time: 0.0166 memory: 6108 grad_norm: 5.5668 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0067 loss: 2.0067 2022/07/22 20:04:30 - mmengine - INFO - Epoch(train) [24][240/3757] lr: 1.0000e-02 eta: 18:47:37 time: 0.2455 data_time: 0.0157 memory: 6108 grad_norm: 5.6936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1368 loss: 2.1368 2022/07/22 20:04:35 - mmengine - INFO - Epoch(train) [24][260/3757] lr: 1.0000e-02 eta: 18:47:32 time: 0.2312 data_time: 0.0262 memory: 6108 grad_norm: 5.6016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0259 loss: 2.0259 2022/07/22 20:04:40 - mmengine - INFO - Epoch(train) [24][280/3757] lr: 1.0000e-02 eta: 18:47:27 time: 0.2258 data_time: 0.0230 memory: 6108 grad_norm: 5.3913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7193 loss: 1.7193 2022/07/22 20:04:45 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 1.0000e-02 eta: 18:47:25 time: 0.2721 data_time: 0.0206 memory: 6108 grad_norm: 5.4350 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2030 loss: 2.2030 2022/07/22 20:04:50 - mmengine - INFO - Epoch(train) [24][320/3757] lr: 1.0000e-02 eta: 18:47:20 time: 0.2280 data_time: 0.0259 memory: 6108 grad_norm: 5.6101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9017 loss: 1.9017 2022/07/22 20:04:54 - mmengine - INFO - Epoch(train) [24][340/3757] lr: 1.0000e-02 eta: 18:47:14 time: 0.2218 data_time: 0.0176 memory: 6108 grad_norm: 5.5756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2517 loss: 2.2517 2022/07/22 20:04:59 - mmengine - INFO - Epoch(train) [24][360/3757] lr: 1.0000e-02 eta: 18:47:09 time: 0.2271 data_time: 0.0219 memory: 6108 grad_norm: 5.4162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2396 loss: 2.2396 2022/07/22 20:05:04 - mmengine - INFO - Epoch(train) [24][380/3757] lr: 1.0000e-02 eta: 18:47:05 time: 0.2466 data_time: 0.0206 memory: 6108 grad_norm: 5.6260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1282 loss: 2.1282 2022/07/22 20:05:08 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 1.0000e-02 eta: 18:47:01 time: 0.2353 data_time: 0.0219 memory: 6108 grad_norm: 5.6364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3106 loss: 2.3106 2022/07/22 20:05:13 - mmengine - INFO - Epoch(train) [24][420/3757] lr: 1.0000e-02 eta: 18:46:56 time: 0.2271 data_time: 0.0204 memory: 6108 grad_norm: 5.5925 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1844 loss: 2.1844 2022/07/22 20:05:18 - mmengine - INFO - Epoch(train) [24][440/3757] lr: 1.0000e-02 eta: 18:46:52 time: 0.2439 data_time: 0.0206 memory: 6108 grad_norm: 5.3727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8373 loss: 1.8373 2022/07/22 20:05:22 - mmengine - INFO - Epoch(train) [24][460/3757] lr: 1.0000e-02 eta: 18:46:47 time: 0.2322 data_time: 0.0202 memory: 6108 grad_norm: 5.7765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0355 loss: 2.0355 2022/07/22 20:05:27 - mmengine - INFO - Epoch(train) [24][480/3757] lr: 1.0000e-02 eta: 18:46:41 time: 0.2209 data_time: 0.0231 memory: 6108 grad_norm: 5.7019 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0578 loss: 2.0578 2022/07/22 20:05:32 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 1.0000e-02 eta: 18:46:37 time: 0.2426 data_time: 0.0187 memory: 6108 grad_norm: 5.5345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9455 loss: 1.9455 2022/07/22 20:05:37 - mmengine - INFO - Epoch(train) [24][520/3757] lr: 1.0000e-02 eta: 18:46:33 time: 0.2485 data_time: 0.0168 memory: 6108 grad_norm: 5.5169 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3624 loss: 2.3624 2022/07/22 20:05:41 - mmengine - INFO - Epoch(train) [24][540/3757] lr: 1.0000e-02 eta: 18:46:28 time: 0.2225 data_time: 0.0194 memory: 6108 grad_norm: 5.4395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1387 loss: 2.1387 2022/07/22 20:05:46 - mmengine - INFO - Epoch(train) [24][560/3757] lr: 1.0000e-02 eta: 18:46:24 time: 0.2416 data_time: 0.0255 memory: 6108 grad_norm: 5.5927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2259 loss: 2.2259 2022/07/22 20:05:51 - mmengine - INFO - Epoch(train) [24][580/3757] lr: 1.0000e-02 eta: 18:46:19 time: 0.2329 data_time: 0.0195 memory: 6108 grad_norm: 5.6037 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9824 loss: 1.9824 2022/07/22 20:05:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:05:55 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 1.0000e-02 eta: 18:46:15 time: 0.2452 data_time: 0.0254 memory: 6108 grad_norm: 5.4009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2853 loss: 2.2853 2022/07/22 20:06:00 - mmengine - INFO - Epoch(train) [24][620/3757] lr: 1.0000e-02 eta: 18:46:11 time: 0.2350 data_time: 0.0232 memory: 6108 grad_norm: 5.5399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0692 loss: 2.0692 2022/07/22 20:06:05 - mmengine - INFO - Epoch(train) [24][640/3757] lr: 1.0000e-02 eta: 18:46:07 time: 0.2487 data_time: 0.0221 memory: 6108 grad_norm: 5.6705 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0237 loss: 2.0237 2022/07/22 20:06:10 - mmengine - INFO - Epoch(train) [24][660/3757] lr: 1.0000e-02 eta: 18:46:02 time: 0.2315 data_time: 0.0220 memory: 6108 grad_norm: 5.7174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1257 loss: 2.1257 2022/07/22 20:06:15 - mmengine - INFO - Epoch(train) [24][680/3757] lr: 1.0000e-02 eta: 18:45:58 time: 0.2426 data_time: 0.0199 memory: 6108 grad_norm: 5.7149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0467 loss: 2.0467 2022/07/22 20:06:19 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 1.0000e-02 eta: 18:45:52 time: 0.2195 data_time: 0.0186 memory: 6108 grad_norm: 5.7312 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1861 loss: 2.1861 2022/07/22 20:06:24 - mmengine - INFO - Epoch(train) [24][720/3757] lr: 1.0000e-02 eta: 18:45:48 time: 0.2354 data_time: 0.0238 memory: 6108 grad_norm: 5.6283 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8689 loss: 1.8689 2022/07/22 20:06:29 - mmengine - INFO - Epoch(train) [24][740/3757] lr: 1.0000e-02 eta: 18:45:44 time: 0.2535 data_time: 0.0231 memory: 6108 grad_norm: 5.7298 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0565 loss: 2.0565 2022/07/22 20:06:33 - mmengine - INFO - Epoch(train) [24][760/3757] lr: 1.0000e-02 eta: 18:45:39 time: 0.2254 data_time: 0.0210 memory: 6108 grad_norm: 5.8461 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1505 loss: 2.1505 2022/07/22 20:06:38 - mmengine - INFO - Epoch(train) [24][780/3757] lr: 1.0000e-02 eta: 18:45:34 time: 0.2345 data_time: 0.0269 memory: 6108 grad_norm: 5.5955 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9530 loss: 1.9530 2022/07/22 20:06:43 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 1.0000e-02 eta: 18:45:30 time: 0.2456 data_time: 0.0218 memory: 6108 grad_norm: 5.6715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9612 loss: 1.9612 2022/07/22 20:06:48 - mmengine - INFO - Epoch(train) [24][820/3757] lr: 1.0000e-02 eta: 18:45:26 time: 0.2313 data_time: 0.0226 memory: 6108 grad_norm: 5.5482 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8890 loss: 1.8890 2022/07/22 20:06:52 - mmengine - INFO - Epoch(train) [24][840/3757] lr: 1.0000e-02 eta: 18:45:20 time: 0.2265 data_time: 0.0230 memory: 6108 grad_norm: 5.4271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9630 loss: 1.9630 2022/07/22 20:06:57 - mmengine - INFO - Epoch(train) [24][860/3757] lr: 1.0000e-02 eta: 18:45:15 time: 0.2267 data_time: 0.0272 memory: 6108 grad_norm: 5.6084 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3835 loss: 2.3835 2022/07/22 20:07:02 - mmengine - INFO - Epoch(train) [24][880/3757] lr: 1.0000e-02 eta: 18:45:11 time: 0.2426 data_time: 0.0214 memory: 6108 grad_norm: 5.5914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8415 loss: 1.8415 2022/07/22 20:07:06 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 1.0000e-02 eta: 18:45:06 time: 0.2302 data_time: 0.0240 memory: 6108 grad_norm: 5.6226 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2059 loss: 2.2059 2022/07/22 20:07:11 - mmengine - INFO - Epoch(train) [24][920/3757] lr: 1.0000e-02 eta: 18:45:01 time: 0.2221 data_time: 0.0266 memory: 6108 grad_norm: 5.7164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9260 loss: 1.9260 2022/07/22 20:07:15 - mmengine - INFO - Epoch(train) [24][940/3757] lr: 1.0000e-02 eta: 18:44:56 time: 0.2354 data_time: 0.0195 memory: 6108 grad_norm: 5.6918 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1557 loss: 2.1557 2022/07/22 20:07:20 - mmengine - INFO - Epoch(train) [24][960/3757] lr: 1.0000e-02 eta: 18:44:52 time: 0.2375 data_time: 0.0191 memory: 6108 grad_norm: 5.5855 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9107 loss: 1.9107 2022/07/22 20:07:25 - mmengine - INFO - Epoch(train) [24][980/3757] lr: 1.0000e-02 eta: 18:44:48 time: 0.2468 data_time: 0.0209 memory: 6108 grad_norm: 5.5618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1549 loss: 2.1549 2022/07/22 20:07:30 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 1.0000e-02 eta: 18:44:43 time: 0.2287 data_time: 0.0207 memory: 6108 grad_norm: 5.6694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9368 loss: 1.9368 2022/07/22 20:07:34 - mmengine - INFO - Epoch(train) [24][1020/3757] lr: 1.0000e-02 eta: 18:44:37 time: 0.2255 data_time: 0.0178 memory: 6108 grad_norm: 5.7365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0838 loss: 2.0838 2022/07/22 20:07:39 - mmengine - INFO - Epoch(train) [24][1040/3757] lr: 1.0000e-02 eta: 18:44:33 time: 0.2405 data_time: 0.0302 memory: 6108 grad_norm: 5.7375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1672 loss: 2.1672 2022/07/22 20:07:44 - mmengine - INFO - Epoch(train) [24][1060/3757] lr: 1.0000e-02 eta: 18:44:29 time: 0.2370 data_time: 0.0189 memory: 6108 grad_norm: 5.6796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1842 loss: 2.1842 2022/07/22 20:07:49 - mmengine - INFO - Epoch(train) [24][1080/3757] lr: 1.0000e-02 eta: 18:44:25 time: 0.2443 data_time: 0.0175 memory: 6108 grad_norm: 5.6211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9535 loss: 1.9535 2022/07/22 20:07:53 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 1.0000e-02 eta: 18:44:20 time: 0.2397 data_time: 0.0239 memory: 6108 grad_norm: 5.5911 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1111 loss: 2.1111 2022/07/22 20:07:58 - mmengine - INFO - Epoch(train) [24][1120/3757] lr: 1.0000e-02 eta: 18:44:15 time: 0.2275 data_time: 0.0236 memory: 6108 grad_norm: 5.6156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2372 loss: 2.2372 2022/07/22 20:08:03 - mmengine - INFO - Epoch(train) [24][1140/3757] lr: 1.0000e-02 eta: 18:44:10 time: 0.2315 data_time: 0.0200 memory: 6108 grad_norm: 5.5826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7605 loss: 1.7605 2022/07/22 20:08:07 - mmengine - INFO - Epoch(train) [24][1160/3757] lr: 1.0000e-02 eta: 18:44:05 time: 0.2244 data_time: 0.0234 memory: 6108 grad_norm: 5.5831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0579 loss: 2.0579 2022/07/22 20:08:12 - mmengine - INFO - Epoch(train) [24][1180/3757] lr: 1.0000e-02 eta: 18:44:01 time: 0.2500 data_time: 0.0201 memory: 6108 grad_norm: 5.5996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1474 loss: 2.1474 2022/07/22 20:08:17 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 1.0000e-02 eta: 18:43:56 time: 0.2248 data_time: 0.0197 memory: 6108 grad_norm: 5.5260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8316 loss: 1.8316 2022/07/22 20:08:21 - mmengine - INFO - Epoch(train) [24][1220/3757] lr: 1.0000e-02 eta: 18:43:51 time: 0.2252 data_time: 0.0225 memory: 6108 grad_norm: 5.7145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2908 loss: 2.2908 2022/07/22 20:08:26 - mmengine - INFO - Epoch(train) [24][1240/3757] lr: 1.0000e-02 eta: 18:43:47 time: 0.2382 data_time: 0.0283 memory: 6108 grad_norm: 5.3559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2412 loss: 2.2412 2022/07/22 20:08:30 - mmengine - INFO - Epoch(train) [24][1260/3757] lr: 1.0000e-02 eta: 18:43:41 time: 0.2267 data_time: 0.0280 memory: 6108 grad_norm: 5.7027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2642 loss: 2.2642 2022/07/22 20:08:35 - mmengine - INFO - Epoch(train) [24][1280/3757] lr: 1.0000e-02 eta: 18:43:37 time: 0.2442 data_time: 0.0218 memory: 6108 grad_norm: 5.6133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2007 loss: 2.2007 2022/07/22 20:08:40 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 1.0000e-02 eta: 18:43:33 time: 0.2373 data_time: 0.0175 memory: 6108 grad_norm: 5.6128 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2570 loss: 2.2570 2022/07/22 20:08:45 - mmengine - INFO - Epoch(train) [24][1320/3757] lr: 1.0000e-02 eta: 18:43:28 time: 0.2258 data_time: 0.0228 memory: 6108 grad_norm: 5.4593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1538 loss: 2.1538 2022/07/22 20:08:49 - mmengine - INFO - Epoch(train) [24][1340/3757] lr: 1.0000e-02 eta: 18:43:23 time: 0.2328 data_time: 0.0277 memory: 6108 grad_norm: 5.5027 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9842 loss: 1.9842 2022/07/22 20:08:54 - mmengine - INFO - Epoch(train) [24][1360/3757] lr: 1.0000e-02 eta: 18:43:19 time: 0.2418 data_time: 0.0211 memory: 6108 grad_norm: 5.6990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3129 loss: 2.3129 2022/07/22 20:08:59 - mmengine - INFO - Epoch(train) [24][1380/3757] lr: 1.0000e-02 eta: 18:43:13 time: 0.2231 data_time: 0.0234 memory: 6108 grad_norm: 5.5949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3012 loss: 2.3012 2022/07/22 20:09:03 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 1.0000e-02 eta: 18:43:08 time: 0.2265 data_time: 0.0246 memory: 6108 grad_norm: 5.6927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8544 loss: 1.8544 2022/07/22 20:09:08 - mmengine - INFO - Epoch(train) [24][1420/3757] lr: 1.0000e-02 eta: 18:43:03 time: 0.2232 data_time: 0.0191 memory: 6108 grad_norm: 5.8627 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3156 loss: 2.3156 2022/07/22 20:09:13 - mmengine - INFO - Epoch(train) [24][1440/3757] lr: 1.0000e-02 eta: 18:42:59 time: 0.2454 data_time: 0.0180 memory: 6108 grad_norm: 5.7889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0977 loss: 2.0977 2022/07/22 20:09:17 - mmengine - INFO - Epoch(train) [24][1460/3757] lr: 1.0000e-02 eta: 18:42:54 time: 0.2259 data_time: 0.0339 memory: 6108 grad_norm: 5.5711 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0226 loss: 2.0226 2022/07/22 20:09:22 - mmengine - INFO - Epoch(train) [24][1480/3757] lr: 1.0000e-02 eta: 18:42:48 time: 0.2224 data_time: 0.0184 memory: 6108 grad_norm: 5.6500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0925 loss: 2.0925 2022/07/22 20:09:26 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 1.0000e-02 eta: 18:42:43 time: 0.2290 data_time: 0.0234 memory: 6108 grad_norm: 5.4672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1817 loss: 2.1817 2022/07/22 20:09:31 - mmengine - INFO - Epoch(train) [24][1520/3757] lr: 1.0000e-02 eta: 18:42:40 time: 0.2580 data_time: 0.0223 memory: 6108 grad_norm: 5.5426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0893 loss: 2.0893 2022/07/22 20:09:36 - mmengine - INFO - Epoch(train) [24][1540/3757] lr: 1.0000e-02 eta: 18:42:34 time: 0.2191 data_time: 0.0213 memory: 6108 grad_norm: 5.5746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0719 loss: 2.0719 2022/07/22 20:09:41 - mmengine - INFO - Epoch(train) [24][1560/3757] lr: 1.0000e-02 eta: 18:42:30 time: 0.2442 data_time: 0.0194 memory: 6108 grad_norm: 5.7119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9577 loss: 1.9577 2022/07/22 20:09:45 - mmengine - INFO - Epoch(train) [24][1580/3757] lr: 1.0000e-02 eta: 18:42:25 time: 0.2320 data_time: 0.0238 memory: 6108 grad_norm: 5.4675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8844 loss: 1.8844 2022/07/22 20:09:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:09:50 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 1.0000e-02 eta: 18:42:20 time: 0.2237 data_time: 0.0279 memory: 6108 grad_norm: 5.7590 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4178 loss: 2.4178 2022/07/22 20:09:54 - mmengine - INFO - Epoch(train) [24][1620/3757] lr: 1.0000e-02 eta: 18:42:15 time: 0.2228 data_time: 0.0200 memory: 6108 grad_norm: 5.4730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0732 loss: 2.0732 2022/07/22 20:09:59 - mmengine - INFO - Epoch(train) [24][1640/3757] lr: 1.0000e-02 eta: 18:42:10 time: 0.2274 data_time: 0.0274 memory: 6108 grad_norm: 5.5896 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1668 loss: 2.1668 2022/07/22 20:10:05 - mmengine - INFO - Epoch(train) [24][1660/3757] lr: 1.0000e-02 eta: 18:42:09 time: 0.2919 data_time: 0.0197 memory: 6108 grad_norm: 5.4741 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0009 loss: 2.0009 2022/07/22 20:10:09 - mmengine - INFO - Epoch(train) [24][1680/3757] lr: 1.0000e-02 eta: 18:42:04 time: 0.2333 data_time: 0.0207 memory: 6108 grad_norm: 5.8689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3942 loss: 2.3942 2022/07/22 20:10:14 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 1.0000e-02 eta: 18:42:00 time: 0.2403 data_time: 0.0161 memory: 6108 grad_norm: 5.5159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1763 loss: 2.1763 2022/07/22 20:10:19 - mmengine - INFO - Epoch(train) [24][1720/3757] lr: 1.0000e-02 eta: 18:41:55 time: 0.2369 data_time: 0.0168 memory: 6108 grad_norm: 5.4609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3959 loss: 2.3959 2022/07/22 20:10:24 - mmengine - INFO - Epoch(train) [24][1740/3757] lr: 1.0000e-02 eta: 18:41:51 time: 0.2456 data_time: 0.0247 memory: 6108 grad_norm: 5.6613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9778 loss: 1.9778 2022/07/22 20:10:29 - mmengine - INFO - Epoch(train) [24][1760/3757] lr: 1.0000e-02 eta: 18:41:47 time: 0.2368 data_time: 0.0169 memory: 6108 grad_norm: 5.6366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3177 loss: 2.3177 2022/07/22 20:10:33 - mmengine - INFO - Epoch(train) [24][1780/3757] lr: 1.0000e-02 eta: 18:41:43 time: 0.2476 data_time: 0.0195 memory: 6108 grad_norm: 5.7390 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2697 loss: 2.2697 2022/07/22 20:10:38 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 1.0000e-02 eta: 18:41:39 time: 0.2445 data_time: 0.0191 memory: 6108 grad_norm: 5.6139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0028 loss: 2.0028 2022/07/22 20:10:43 - mmengine - INFO - Epoch(train) [24][1820/3757] lr: 1.0000e-02 eta: 18:41:35 time: 0.2421 data_time: 0.0157 memory: 6108 grad_norm: 5.4265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0944 loss: 2.0944 2022/07/22 20:10:48 - mmengine - INFO - Epoch(train) [24][1840/3757] lr: 1.0000e-02 eta: 18:41:31 time: 0.2430 data_time: 0.0187 memory: 6108 grad_norm: 5.4345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0440 loss: 2.0440 2022/07/22 20:10:53 - mmengine - INFO - Epoch(train) [24][1860/3757] lr: 1.0000e-02 eta: 18:41:25 time: 0.2222 data_time: 0.0206 memory: 6108 grad_norm: 5.4526 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0760 loss: 2.0760 2022/07/22 20:10:57 - mmengine - INFO - Epoch(train) [24][1880/3757] lr: 1.0000e-02 eta: 18:41:20 time: 0.2306 data_time: 0.0221 memory: 6108 grad_norm: 5.8030 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1703 loss: 2.1703 2022/07/22 20:11:02 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 1.0000e-02 eta: 18:41:16 time: 0.2362 data_time: 0.0187 memory: 6108 grad_norm: 5.4372 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0520 loss: 2.0520 2022/07/22 20:11:06 - mmengine - INFO - Epoch(train) [24][1920/3757] lr: 1.0000e-02 eta: 18:41:11 time: 0.2283 data_time: 0.0179 memory: 6108 grad_norm: 5.6028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9305 loss: 1.9305 2022/07/22 20:11:12 - mmengine - INFO - Epoch(train) [24][1940/3757] lr: 1.0000e-02 eta: 18:41:07 time: 0.2516 data_time: 0.0210 memory: 6108 grad_norm: 5.5591 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8479 loss: 1.8479 2022/07/22 20:11:16 - mmengine - INFO - Epoch(train) [24][1960/3757] lr: 1.0000e-02 eta: 18:41:02 time: 0.2224 data_time: 0.0191 memory: 6108 grad_norm: 5.6769 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2657 loss: 2.2657 2022/07/22 20:11:21 - mmengine - INFO - Epoch(train) [24][1980/3757] lr: 1.0000e-02 eta: 18:40:57 time: 0.2328 data_time: 0.0192 memory: 6108 grad_norm: 5.6937 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2130 loss: 2.2130 2022/07/22 20:11:26 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 1.0000e-02 eta: 18:40:53 time: 0.2429 data_time: 0.0233 memory: 6108 grad_norm: 5.4864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2025 loss: 2.2025 2022/07/22 20:11:30 - mmengine - INFO - Epoch(train) [24][2020/3757] lr: 1.0000e-02 eta: 18:40:48 time: 0.2259 data_time: 0.0176 memory: 6108 grad_norm: 5.7445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9739 loss: 1.9739 2022/07/22 20:11:35 - mmengine - INFO - Epoch(train) [24][2040/3757] lr: 1.0000e-02 eta: 18:40:42 time: 0.2246 data_time: 0.0233 memory: 6108 grad_norm: 5.4436 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0176 loss: 2.0176 2022/07/22 20:11:39 - mmengine - INFO - Epoch(train) [24][2060/3757] lr: 1.0000e-02 eta: 18:40:37 time: 0.2236 data_time: 0.0190 memory: 6108 grad_norm: 5.5758 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3504 loss: 2.3504 2022/07/22 20:11:44 - mmengine - INFO - Epoch(train) [24][2080/3757] lr: 1.0000e-02 eta: 18:40:34 time: 0.2635 data_time: 0.0214 memory: 6108 grad_norm: 5.5417 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3271 loss: 2.3271 2022/07/22 20:11:49 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 1.0000e-02 eta: 18:40:29 time: 0.2291 data_time: 0.0201 memory: 6108 grad_norm: 5.7447 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/07/22 20:11:53 - mmengine - INFO - Epoch(train) [24][2120/3757] lr: 1.0000e-02 eta: 18:40:24 time: 0.2253 data_time: 0.0221 memory: 6108 grad_norm: 5.3882 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1459 loss: 2.1459 2022/07/22 20:11:58 - mmengine - INFO - Epoch(train) [24][2140/3757] lr: 1.0000e-02 eta: 18:40:19 time: 0.2274 data_time: 0.0193 memory: 6108 grad_norm: 5.7666 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0987 loss: 2.0987 2022/07/22 20:12:03 - mmengine - INFO - Epoch(train) [24][2160/3757] lr: 1.0000e-02 eta: 18:40:16 time: 0.2630 data_time: 0.0238 memory: 6108 grad_norm: 5.7995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1260 loss: 2.1260 2022/07/22 20:12:08 - mmengine - INFO - Epoch(train) [24][2180/3757] lr: 1.0000e-02 eta: 18:40:11 time: 0.2265 data_time: 0.0201 memory: 6108 grad_norm: 5.5992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8511 loss: 1.8511 2022/07/22 20:12:12 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 1.0000e-02 eta: 18:40:06 time: 0.2251 data_time: 0.0187 memory: 6108 grad_norm: 5.5959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1799 loss: 2.1799 2022/07/22 20:12:17 - mmengine - INFO - Epoch(train) [24][2220/3757] lr: 1.0000e-02 eta: 18:40:01 time: 0.2366 data_time: 0.0224 memory: 6108 grad_norm: 5.6362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0087 loss: 2.0087 2022/07/22 20:12:22 - mmengine - INFO - Epoch(train) [24][2240/3757] lr: 1.0000e-02 eta: 18:39:56 time: 0.2338 data_time: 0.0179 memory: 6108 grad_norm: 5.5823 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0330 loss: 2.0330 2022/07/22 20:12:27 - mmengine - INFO - Epoch(train) [24][2260/3757] lr: 1.0000e-02 eta: 18:39:52 time: 0.2466 data_time: 0.0167 memory: 6108 grad_norm: 5.5732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0472 loss: 2.0472 2022/07/22 20:12:31 - mmengine - INFO - Epoch(train) [24][2280/3757] lr: 1.0000e-02 eta: 18:39:48 time: 0.2305 data_time: 0.0223 memory: 6108 grad_norm: 5.6950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2238 loss: 2.2238 2022/07/22 20:12:36 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 1.0000e-02 eta: 18:39:43 time: 0.2307 data_time: 0.0165 memory: 6108 grad_norm: 5.6604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1570 loss: 2.1570 2022/07/22 20:12:40 - mmengine - INFO - Epoch(train) [24][2320/3757] lr: 1.0000e-02 eta: 18:39:37 time: 0.2268 data_time: 0.0198 memory: 6108 grad_norm: 5.6296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1119 loss: 2.1119 2022/07/22 20:12:45 - mmengine - INFO - Epoch(train) [24][2340/3757] lr: 1.0000e-02 eta: 18:39:33 time: 0.2344 data_time: 0.0255 memory: 6108 grad_norm: 5.4722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0123 loss: 2.0123 2022/07/22 20:12:50 - mmengine - INFO - Epoch(train) [24][2360/3757] lr: 1.0000e-02 eta: 18:39:28 time: 0.2355 data_time: 0.0176 memory: 6108 grad_norm: 5.5682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9010 loss: 1.9010 2022/07/22 20:12:55 - mmengine - INFO - Epoch(train) [24][2380/3757] lr: 1.0000e-02 eta: 18:39:25 time: 0.2514 data_time: 0.0174 memory: 6108 grad_norm: 5.6776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0397 loss: 2.0397 2022/07/22 20:13:00 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 1.0000e-02 eta: 18:39:20 time: 0.2330 data_time: 0.0232 memory: 6108 grad_norm: 5.6861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2463 loss: 2.2463 2022/07/22 20:13:04 - mmengine - INFO - Epoch(train) [24][2420/3757] lr: 1.0000e-02 eta: 18:39:15 time: 0.2310 data_time: 0.0192 memory: 6108 grad_norm: 5.6596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9224 loss: 1.9224 2022/07/22 20:13:09 - mmengine - INFO - Epoch(train) [24][2440/3757] lr: 1.0000e-02 eta: 18:39:09 time: 0.2201 data_time: 0.0199 memory: 6108 grad_norm: 5.7171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9081 loss: 1.9081 2022/07/22 20:13:14 - mmengine - INFO - Epoch(train) [24][2460/3757] lr: 1.0000e-02 eta: 18:39:08 time: 0.2897 data_time: 0.0253 memory: 6108 grad_norm: 5.6758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2213 loss: 2.2213 2022/07/22 20:13:19 - mmengine - INFO - Epoch(train) [24][2480/3757] lr: 1.0000e-02 eta: 18:39:03 time: 0.2192 data_time: 0.0224 memory: 6108 grad_norm: 5.6563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9803 loss: 1.9803 2022/07/22 20:13:23 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 1.0000e-02 eta: 18:38:57 time: 0.2238 data_time: 0.0224 memory: 6108 grad_norm: 5.5801 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0258 loss: 2.0258 2022/07/22 20:13:28 - mmengine - INFO - Epoch(train) [24][2520/3757] lr: 1.0000e-02 eta: 18:38:53 time: 0.2379 data_time: 0.0223 memory: 6108 grad_norm: 5.6550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0147 loss: 2.0147 2022/07/22 20:13:32 - mmengine - INFO - Epoch(train) [24][2540/3757] lr: 1.0000e-02 eta: 18:38:47 time: 0.2214 data_time: 0.0208 memory: 6108 grad_norm: 5.6296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0882 loss: 2.0882 2022/07/22 20:13:37 - mmengine - INFO - Epoch(train) [24][2560/3757] lr: 1.0000e-02 eta: 18:38:42 time: 0.2206 data_time: 0.0186 memory: 6108 grad_norm: 5.7074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1123 loss: 2.1123 2022/07/22 20:13:42 - mmengine - INFO - Epoch(train) [24][2580/3757] lr: 1.0000e-02 eta: 18:38:40 time: 0.2760 data_time: 0.0166 memory: 6108 grad_norm: 5.5181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8795 loss: 1.8795 2022/07/22 20:13:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:13:47 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 1.0000e-02 eta: 18:38:35 time: 0.2362 data_time: 0.0163 memory: 6108 grad_norm: 5.4420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2462 loss: 2.2462 2022/07/22 20:13:52 - mmengine - INFO - Epoch(train) [24][2620/3757] lr: 1.0000e-02 eta: 18:38:31 time: 0.2423 data_time: 0.0407 memory: 6108 grad_norm: 5.6445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1086 loss: 2.1086 2022/07/22 20:13:57 - mmengine - INFO - Epoch(train) [24][2640/3757] lr: 1.0000e-02 eta: 18:38:26 time: 0.2286 data_time: 0.0161 memory: 6108 grad_norm: 5.5127 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4377 loss: 2.4377 2022/07/22 20:14:01 - mmengine - INFO - Epoch(train) [24][2660/3757] lr: 1.0000e-02 eta: 18:38:20 time: 0.2180 data_time: 0.0216 memory: 6108 grad_norm: 5.6226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2845 loss: 2.2845 2022/07/22 20:14:06 - mmengine - INFO - Epoch(train) [24][2680/3757] lr: 1.0000e-02 eta: 18:38:18 time: 0.2691 data_time: 0.0193 memory: 6108 grad_norm: 5.5539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1170 loss: 2.1170 2022/07/22 20:14:11 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 1.0000e-02 eta: 18:38:13 time: 0.2261 data_time: 0.0180 memory: 6108 grad_norm: 5.3910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1051 loss: 2.1051 2022/07/22 20:14:16 - mmengine - INFO - Epoch(train) [24][2720/3757] lr: 1.0000e-02 eta: 18:38:08 time: 0.2333 data_time: 0.0221 memory: 6108 grad_norm: 5.3210 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0370 loss: 2.0370 2022/07/22 20:14:20 - mmengine - INFO - Epoch(train) [24][2740/3757] lr: 1.0000e-02 eta: 18:38:04 time: 0.2360 data_time: 0.0218 memory: 6108 grad_norm: 5.5834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1829 loss: 2.1829 2022/07/22 20:14:25 - mmengine - INFO - Epoch(train) [24][2760/3757] lr: 1.0000e-02 eta: 18:38:00 time: 0.2527 data_time: 0.0202 memory: 6108 grad_norm: 5.4905 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0659 loss: 2.0659 2022/07/22 20:14:30 - mmengine - INFO - Epoch(train) [24][2780/3757] lr: 1.0000e-02 eta: 18:37:55 time: 0.2212 data_time: 0.0190 memory: 6108 grad_norm: 5.6779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2338 loss: 2.2338 2022/07/22 20:14:35 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 1.0000e-02 eta: 18:37:50 time: 0.2371 data_time: 0.0233 memory: 6108 grad_norm: 5.6089 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0763 loss: 2.0763 2022/07/22 20:14:39 - mmengine - INFO - Epoch(train) [24][2820/3757] lr: 1.0000e-02 eta: 18:37:45 time: 0.2224 data_time: 0.0198 memory: 6108 grad_norm: 5.4951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2885 loss: 2.2885 2022/07/22 20:14:44 - mmengine - INFO - Epoch(train) [24][2840/3757] lr: 1.0000e-02 eta: 18:37:40 time: 0.2433 data_time: 0.0178 memory: 6108 grad_norm: 5.6525 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1873 loss: 2.1873 2022/07/22 20:14:48 - mmengine - INFO - Epoch(train) [24][2860/3757] lr: 1.0000e-02 eta: 18:37:35 time: 0.2197 data_time: 0.0222 memory: 6108 grad_norm: 5.5555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/07/22 20:14:54 - mmengine - INFO - Epoch(train) [24][2880/3757] lr: 1.0000e-02 eta: 18:37:32 time: 0.2659 data_time: 0.0195 memory: 6108 grad_norm: 5.5906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2111 loss: 2.2111 2022/07/22 20:14:59 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 1.0000e-02 eta: 18:37:29 time: 0.2595 data_time: 0.0200 memory: 6108 grad_norm: 5.4817 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0320 loss: 2.0320 2022/07/22 20:15:03 - mmengine - INFO - Epoch(train) [24][2920/3757] lr: 1.0000e-02 eta: 18:37:24 time: 0.2213 data_time: 0.0255 memory: 6108 grad_norm: 5.5785 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0486 loss: 2.0486 2022/07/22 20:15:08 - mmengine - INFO - Epoch(train) [24][2940/3757] lr: 1.0000e-02 eta: 18:37:19 time: 0.2380 data_time: 0.0170 memory: 6108 grad_norm: 5.6740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2733 loss: 2.2733 2022/07/22 20:15:14 - mmengine - INFO - Epoch(train) [24][2960/3757] lr: 1.0000e-02 eta: 18:37:18 time: 0.2864 data_time: 0.0194 memory: 6108 grad_norm: 5.5920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9916 loss: 1.9916 2022/07/22 20:15:18 - mmengine - INFO - Epoch(train) [24][2980/3757] lr: 1.0000e-02 eta: 18:37:12 time: 0.2123 data_time: 0.0233 memory: 6108 grad_norm: 5.4702 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7796 loss: 1.7796 2022/07/22 20:15:23 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 1.0000e-02 eta: 18:37:07 time: 0.2378 data_time: 0.0377 memory: 6108 grad_norm: 5.5457 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1666 loss: 2.1666 2022/07/22 20:15:27 - mmengine - INFO - Epoch(train) [24][3020/3757] lr: 1.0000e-02 eta: 18:37:03 time: 0.2335 data_time: 0.0321 memory: 6108 grad_norm: 5.4993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/07/22 20:15:32 - mmengine - INFO - Epoch(train) [24][3040/3757] lr: 1.0000e-02 eta: 18:36:58 time: 0.2335 data_time: 0.0285 memory: 6108 grad_norm: 5.5086 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8485 loss: 1.8485 2022/07/22 20:15:37 - mmengine - INFO - Epoch(train) [24][3060/3757] lr: 1.0000e-02 eta: 18:36:53 time: 0.2299 data_time: 0.0186 memory: 6108 grad_norm: 5.5526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2178 loss: 2.2178 2022/07/22 20:15:41 - mmengine - INFO - Epoch(train) [24][3080/3757] lr: 1.0000e-02 eta: 18:36:48 time: 0.2322 data_time: 0.0233 memory: 6108 grad_norm: 5.3688 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3503 loss: 2.3503 2022/07/22 20:15:46 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 1.0000e-02 eta: 18:36:43 time: 0.2255 data_time: 0.0219 memory: 6108 grad_norm: 5.6555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3984 loss: 2.3984 2022/07/22 20:15:51 - mmengine - INFO - Epoch(train) [24][3120/3757] lr: 1.0000e-02 eta: 18:36:38 time: 0.2291 data_time: 0.0184 memory: 6108 grad_norm: 5.5857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4476 loss: 2.4476 2022/07/22 20:15:56 - mmengine - INFO - Epoch(train) [24][3140/3757] lr: 1.0000e-02 eta: 18:36:35 time: 0.2627 data_time: 0.0187 memory: 6108 grad_norm: 5.3647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1581 loss: 2.1581 2022/07/22 20:16:00 - mmengine - INFO - Epoch(train) [24][3160/3757] lr: 1.0000e-02 eta: 18:36:30 time: 0.2332 data_time: 0.0222 memory: 6108 grad_norm: 5.5007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1549 loss: 2.1549 2022/07/22 20:16:05 - mmengine - INFO - Epoch(train) [24][3180/3757] lr: 1.0000e-02 eta: 18:36:26 time: 0.2438 data_time: 0.0192 memory: 6108 grad_norm: 5.4088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0444 loss: 2.0444 2022/07/22 20:16:10 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 1.0000e-02 eta: 18:36:21 time: 0.2215 data_time: 0.0191 memory: 6108 grad_norm: 5.7084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0969 loss: 2.0969 2022/07/22 20:16:14 - mmengine - INFO - Epoch(train) [24][3220/3757] lr: 1.0000e-02 eta: 18:36:16 time: 0.2274 data_time: 0.0265 memory: 6108 grad_norm: 5.7019 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2107 loss: 2.2107 2022/07/22 20:16:19 - mmengine - INFO - Epoch(train) [24][3240/3757] lr: 1.0000e-02 eta: 18:36:11 time: 0.2329 data_time: 0.0224 memory: 6108 grad_norm: 5.5008 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3488 loss: 2.3488 2022/07/22 20:16:24 - mmengine - INFO - Epoch(train) [24][3260/3757] lr: 1.0000e-02 eta: 18:36:06 time: 0.2354 data_time: 0.0211 memory: 6108 grad_norm: 5.6587 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/07/22 20:16:29 - mmengine - INFO - Epoch(train) [24][3280/3757] lr: 1.0000e-02 eta: 18:36:02 time: 0.2414 data_time: 0.0302 memory: 6108 grad_norm: 5.5128 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1172 loss: 2.1172 2022/07/22 20:16:33 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 1.0000e-02 eta: 18:35:57 time: 0.2305 data_time: 0.0175 memory: 6108 grad_norm: 5.6005 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/07/22 20:16:38 - mmengine - INFO - Epoch(train) [24][3320/3757] lr: 1.0000e-02 eta: 18:35:52 time: 0.2221 data_time: 0.0181 memory: 6108 grad_norm: 5.6166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3799 loss: 2.3799 2022/07/22 20:16:42 - mmengine - INFO - Epoch(train) [24][3340/3757] lr: 1.0000e-02 eta: 18:35:46 time: 0.2224 data_time: 0.0198 memory: 6108 grad_norm: 5.4601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6588 loss: 1.6588 2022/07/22 20:16:47 - mmengine - INFO - Epoch(train) [24][3360/3757] lr: 1.0000e-02 eta: 18:35:42 time: 0.2442 data_time: 0.0306 memory: 6108 grad_norm: 5.5867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8305 loss: 1.8305 2022/07/22 20:16:52 - mmengine - INFO - Epoch(train) [24][3380/3757] lr: 1.0000e-02 eta: 18:35:38 time: 0.2446 data_time: 0.0209 memory: 6108 grad_norm: 5.6056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4001 loss: 2.4001 2022/07/22 20:16:57 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 1.0000e-02 eta: 18:35:34 time: 0.2348 data_time: 0.0250 memory: 6108 grad_norm: 5.4965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0798 loss: 2.0798 2022/07/22 20:17:01 - mmengine - INFO - Epoch(train) [24][3420/3757] lr: 1.0000e-02 eta: 18:35:28 time: 0.2234 data_time: 0.0202 memory: 6108 grad_norm: 5.6515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8177 loss: 1.8177 2022/07/22 20:17:06 - mmengine - INFO - Epoch(train) [24][3440/3757] lr: 1.0000e-02 eta: 18:35:23 time: 0.2309 data_time: 0.0238 memory: 6108 grad_norm: 5.4081 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1212 loss: 2.1212 2022/07/22 20:17:10 - mmengine - INFO - Epoch(train) [24][3460/3757] lr: 1.0000e-02 eta: 18:35:18 time: 0.2280 data_time: 0.0238 memory: 6108 grad_norm: 5.5233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1128 loss: 2.1128 2022/07/22 20:17:15 - mmengine - INFO - Epoch(train) [24][3480/3757] lr: 1.0000e-02 eta: 18:35:14 time: 0.2453 data_time: 0.0456 memory: 6108 grad_norm: 5.5684 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9086 loss: 1.9086 2022/07/22 20:17:20 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 1.0000e-02 eta: 18:35:09 time: 0.2271 data_time: 0.0163 memory: 6108 grad_norm: 5.5866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2055 loss: 2.2055 2022/07/22 20:17:25 - mmengine - INFO - Epoch(train) [24][3520/3757] lr: 1.0000e-02 eta: 18:35:05 time: 0.2408 data_time: 0.0332 memory: 6108 grad_norm: 5.5924 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/07/22 20:17:29 - mmengine - INFO - Epoch(train) [24][3540/3757] lr: 1.0000e-02 eta: 18:35:00 time: 0.2244 data_time: 0.0190 memory: 6108 grad_norm: 5.4060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3650 loss: 2.3650 2022/07/22 20:17:34 - mmengine - INFO - Epoch(train) [24][3560/3757] lr: 1.0000e-02 eta: 18:34:54 time: 0.2252 data_time: 0.0241 memory: 6108 grad_norm: 5.5021 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2581 loss: 2.2581 2022/07/22 20:17:38 - mmengine - INFO - Epoch(train) [24][3580/3757] lr: 1.0000e-02 eta: 18:34:49 time: 0.2239 data_time: 0.0218 memory: 6108 grad_norm: 5.5050 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2043 loss: 2.2043 2022/07/22 20:17:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:17:43 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 1.0000e-02 eta: 18:34:45 time: 0.2488 data_time: 0.0202 memory: 6108 grad_norm: 5.5664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9304 loss: 1.9304 2022/07/22 20:17:48 - mmengine - INFO - Epoch(train) [24][3620/3757] lr: 1.0000e-02 eta: 18:34:40 time: 0.2306 data_time: 0.0188 memory: 6108 grad_norm: 5.6106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0131 loss: 2.0131 2022/07/22 20:17:52 - mmengine - INFO - Epoch(train) [24][3640/3757] lr: 1.0000e-02 eta: 18:34:35 time: 0.2214 data_time: 0.0243 memory: 6108 grad_norm: 5.6493 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3432 loss: 2.3432 2022/07/22 20:17:57 - mmengine - INFO - Epoch(train) [24][3660/3757] lr: 1.0000e-02 eta: 18:34:31 time: 0.2388 data_time: 0.0186 memory: 6108 grad_norm: 5.4928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1107 loss: 2.1107 2022/07/22 20:18:02 - mmengine - INFO - Epoch(train) [24][3680/3757] lr: 1.0000e-02 eta: 18:34:26 time: 0.2300 data_time: 0.0191 memory: 6108 grad_norm: 5.4611 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1103 loss: 2.1103 2022/07/22 20:18:06 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 1.0000e-02 eta: 18:34:20 time: 0.2241 data_time: 0.0198 memory: 6108 grad_norm: 5.7153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0487 loss: 2.0487 2022/07/22 20:18:11 - mmengine - INFO - Epoch(train) [24][3720/3757] lr: 1.0000e-02 eta: 18:34:15 time: 0.2322 data_time: 0.0187 memory: 6108 grad_norm: 5.4498 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1856 loss: 2.1856 2022/07/22 20:18:16 - mmengine - INFO - Epoch(train) [24][3740/3757] lr: 1.0000e-02 eta: 18:34:11 time: 0.2440 data_time: 0.0226 memory: 6108 grad_norm: 5.5071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8641 loss: 1.8641 2022/07/22 20:18:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:18:19 - mmengine - INFO - Epoch(train) [24][3757/3757] lr: 1.0000e-02 eta: 18:34:11 time: 0.2133 data_time: 0.0352 memory: 6108 grad_norm: 5.4614 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9514 loss: 1.9514 2022/07/22 20:18:25 - mmengine - INFO - Epoch(val) [24][20/310] eta: 0:01:20 time: 0.2762 data_time: 0.1913 memory: 1428 2022/07/22 20:18:29 - mmengine - INFO - Epoch(val) [24][40/310] eta: 0:00:53 time: 0.1972 data_time: 0.1129 memory: 1428 2022/07/22 20:18:33 - mmengine - INFO - Epoch(val) [24][60/310] eta: 0:00:52 time: 0.2099 data_time: 0.1344 memory: 1428 2022/07/22 20:18:37 - mmengine - INFO - Epoch(val) [24][80/310] eta: 0:00:52 time: 0.2277 data_time: 0.1295 memory: 1428 2022/07/22 20:18:42 - mmengine - INFO - Epoch(val) [24][100/310] eta: 0:00:45 time: 0.2153 data_time: 0.1409 memory: 1428 2022/07/22 20:18:46 - mmengine - INFO - Epoch(val) [24][120/310] eta: 0:00:39 time: 0.2079 data_time: 0.1344 memory: 1428 2022/07/22 20:18:50 - mmengine - INFO - Epoch(val) [24][140/310] eta: 0:00:38 time: 0.2249 data_time: 0.1509 memory: 1428 2022/07/22 20:18:55 - mmengine - INFO - Epoch(val) [24][160/310] eta: 0:00:34 time: 0.2298 data_time: 0.1388 memory: 1428 2022/07/22 20:18:59 - mmengine - INFO - Epoch(val) [24][180/310] eta: 0:00:26 time: 0.2063 data_time: 0.1308 memory: 1428 2022/07/22 20:19:03 - mmengine - INFO - Epoch(val) [24][200/310] eta: 0:00:23 time: 0.2128 data_time: 0.1375 memory: 1428 2022/07/22 20:19:08 - mmengine - INFO - Epoch(val) [24][220/310] eta: 0:00:20 time: 0.2308 data_time: 0.1564 memory: 1428 2022/07/22 20:19:12 - mmengine - INFO - Epoch(val) [24][240/310] eta: 0:00:13 time: 0.1918 data_time: 0.1181 memory: 1428 2022/07/22 20:19:17 - mmengine - INFO - Epoch(val) [24][260/310] eta: 0:00:12 time: 0.2534 data_time: 0.1717 memory: 1428 2022/07/22 20:19:21 - mmengine - INFO - Epoch(val) [24][280/310] eta: 0:00:05 time: 0.1933 data_time: 0.1181 memory: 1428 2022/07/22 20:19:25 - mmengine - INFO - Epoch(val) [24][300/310] eta: 0:00:02 time: 0.2131 data_time: 0.1431 memory: 1428 2022/07/22 20:19:29 - mmengine - INFO - Epoch(val) [24][310/310] acc/top1: 0.5456 acc/top5: 0.7899 acc/mean1: 0.5454 2022/07/22 20:19:36 - mmengine - INFO - Epoch(train) [25][20/3757] lr: 1.0000e-02 eta: 18:33:58 time: 0.3600 data_time: 0.0863 memory: 6108 grad_norm: 5.6503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1109 loss: 2.1109 2022/07/22 20:19:41 - mmengine - INFO - Epoch(train) [25][40/3757] lr: 1.0000e-02 eta: 18:33:54 time: 0.2355 data_time: 0.0229 memory: 6108 grad_norm: 5.4373 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0279 loss: 2.0279 2022/07/22 20:19:46 - mmengine - INFO - Epoch(train) [25][60/3757] lr: 1.0000e-02 eta: 18:33:49 time: 0.2388 data_time: 0.0221 memory: 6108 grad_norm: 5.7540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0987 loss: 2.0987 2022/07/22 20:19:50 - mmengine - INFO - Epoch(train) [25][80/3757] lr: 1.0000e-02 eta: 18:33:44 time: 0.2250 data_time: 0.0184 memory: 6108 grad_norm: 5.6104 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1029 loss: 2.1029 2022/07/22 20:19:55 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 1.0000e-02 eta: 18:33:39 time: 0.2260 data_time: 0.0165 memory: 6108 grad_norm: 5.6372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1830 loss: 2.1830 2022/07/22 20:19:59 - mmengine - INFO - Epoch(train) [25][120/3757] lr: 1.0000e-02 eta: 18:33:34 time: 0.2353 data_time: 0.0347 memory: 6108 grad_norm: 5.5142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9703 loss: 1.9703 2022/07/22 20:20:04 - mmengine - INFO - Epoch(train) [25][140/3757] lr: 1.0000e-02 eta: 18:33:29 time: 0.2323 data_time: 0.0159 memory: 6108 grad_norm: 5.3225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0934 loss: 2.0934 2022/07/22 20:20:09 - mmengine - INFO - Epoch(train) [25][160/3757] lr: 1.0000e-02 eta: 18:33:25 time: 0.2405 data_time: 0.0251 memory: 6108 grad_norm: 5.8135 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1610 loss: 2.1610 2022/07/22 20:20:13 - mmengine - INFO - Epoch(train) [25][180/3757] lr: 1.0000e-02 eta: 18:33:19 time: 0.2192 data_time: 0.0169 memory: 6108 grad_norm: 5.4453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1994 loss: 2.1994 2022/07/22 20:20:18 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 1.0000e-02 eta: 18:33:14 time: 0.2280 data_time: 0.0269 memory: 6108 grad_norm: 5.4854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0290 loss: 2.0290 2022/07/22 20:20:23 - mmengine - INFO - Epoch(train) [25][220/3757] lr: 1.0000e-02 eta: 18:33:11 time: 0.2521 data_time: 0.0225 memory: 6108 grad_norm: 5.5847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1505 loss: 2.1505 2022/07/22 20:20:28 - mmengine - INFO - Epoch(train) [25][240/3757] lr: 1.0000e-02 eta: 18:33:07 time: 0.2416 data_time: 0.0196 memory: 6108 grad_norm: 5.7141 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2077 loss: 2.2077 2022/07/22 20:20:32 - mmengine - INFO - Epoch(train) [25][260/3757] lr: 1.0000e-02 eta: 18:33:02 time: 0.2326 data_time: 0.0180 memory: 6108 grad_norm: 5.5027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8846 loss: 1.8846 2022/07/22 20:20:37 - mmengine - INFO - Epoch(train) [25][280/3757] lr: 1.0000e-02 eta: 18:32:58 time: 0.2470 data_time: 0.0234 memory: 6108 grad_norm: 5.5002 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0387 loss: 2.0387 2022/07/22 20:20:42 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 1.0000e-02 eta: 18:32:53 time: 0.2268 data_time: 0.0216 memory: 6108 grad_norm: 5.5050 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8325 loss: 1.8325 2022/07/22 20:20:47 - mmengine - INFO - Epoch(train) [25][320/3757] lr: 1.0000e-02 eta: 18:32:48 time: 0.2393 data_time: 0.0197 memory: 6108 grad_norm: 5.6209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3747 loss: 2.3747 2022/07/22 20:20:51 - mmengine - INFO - Epoch(train) [25][340/3757] lr: 1.0000e-02 eta: 18:32:44 time: 0.2379 data_time: 0.0175 memory: 6108 grad_norm: 5.6429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9850 loss: 1.9850 2022/07/22 20:20:56 - mmengine - INFO - Epoch(train) [25][360/3757] lr: 1.0000e-02 eta: 18:32:39 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 5.7034 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1159 loss: 2.1159 2022/07/22 20:21:01 - mmengine - INFO - Epoch(train) [25][380/3757] lr: 1.0000e-02 eta: 18:32:35 time: 0.2400 data_time: 0.0262 memory: 6108 grad_norm: 5.5747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1588 loss: 2.1588 2022/07/22 20:21:05 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 1.0000e-02 eta: 18:32:30 time: 0.2378 data_time: 0.0233 memory: 6108 grad_norm: 5.8762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9178 loss: 1.9178 2022/07/22 20:21:10 - mmengine - INFO - Epoch(train) [25][420/3757] lr: 1.0000e-02 eta: 18:32:25 time: 0.2247 data_time: 0.0279 memory: 6108 grad_norm: 5.4707 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2685 loss: 2.2685 2022/07/22 20:21:15 - mmengine - INFO - Epoch(train) [25][440/3757] lr: 1.0000e-02 eta: 18:32:20 time: 0.2319 data_time: 0.0253 memory: 6108 grad_norm: 5.5815 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9233 loss: 1.9233 2022/07/22 20:21:19 - mmengine - INFO - Epoch(train) [25][460/3757] lr: 1.0000e-02 eta: 18:32:15 time: 0.2350 data_time: 0.0170 memory: 6108 grad_norm: 5.3890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3133 loss: 2.3133 2022/07/22 20:21:24 - mmengine - INFO - Epoch(train) [25][480/3757] lr: 1.0000e-02 eta: 18:32:12 time: 0.2488 data_time: 0.0219 memory: 6108 grad_norm: 5.7307 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1927 loss: 2.1927 2022/07/22 20:21:29 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 1.0000e-02 eta: 18:32:08 time: 0.2501 data_time: 0.0163 memory: 6108 grad_norm: 5.5534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1098 loss: 2.1098 2022/07/22 20:21:34 - mmengine - INFO - Epoch(train) [25][520/3757] lr: 1.0000e-02 eta: 18:32:03 time: 0.2305 data_time: 0.0213 memory: 6108 grad_norm: 5.3869 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/07/22 20:21:38 - mmengine - INFO - Epoch(train) [25][540/3757] lr: 1.0000e-02 eta: 18:31:58 time: 0.2250 data_time: 0.0253 memory: 6108 grad_norm: 5.4193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0237 loss: 2.0237 2022/07/22 20:21:43 - mmengine - INFO - Epoch(train) [25][560/3757] lr: 1.0000e-02 eta: 18:31:53 time: 0.2252 data_time: 0.0237 memory: 6108 grad_norm: 5.6181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8670 loss: 1.8670 2022/07/22 20:21:48 - mmengine - INFO - Epoch(train) [25][580/3757] lr: 1.0000e-02 eta: 18:31:49 time: 0.2485 data_time: 0.0190 memory: 6108 grad_norm: 5.5405 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2155 loss: 2.2155 2022/07/22 20:21:53 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 1.0000e-02 eta: 18:31:44 time: 0.2382 data_time: 0.0217 memory: 6108 grad_norm: 5.5901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9846 loss: 1.9846 2022/07/22 20:21:58 - mmengine - INFO - Epoch(train) [25][620/3757] lr: 1.0000e-02 eta: 18:31:40 time: 0.2400 data_time: 0.0236 memory: 6108 grad_norm: 5.6133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3170 loss: 2.3170 2022/07/22 20:22:02 - mmengine - INFO - Epoch(train) [25][640/3757] lr: 1.0000e-02 eta: 18:31:35 time: 0.2271 data_time: 0.0241 memory: 6108 grad_norm: 5.6428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3012 loss: 2.3012 2022/07/22 20:22:07 - mmengine - INFO - Epoch(train) [25][660/3757] lr: 1.0000e-02 eta: 18:31:30 time: 0.2266 data_time: 0.0249 memory: 6108 grad_norm: 5.7195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1583 loss: 2.1583 2022/07/22 20:22:11 - mmengine - INFO - Epoch(train) [25][680/3757] lr: 1.0000e-02 eta: 18:31:25 time: 0.2365 data_time: 0.0213 memory: 6108 grad_norm: 5.5773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/07/22 20:22:16 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 1.0000e-02 eta: 18:31:22 time: 0.2525 data_time: 0.0243 memory: 6108 grad_norm: 5.7133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1371 loss: 2.1371 2022/07/22 20:22:21 - mmengine - INFO - Epoch(train) [25][720/3757] lr: 1.0000e-02 eta: 18:31:16 time: 0.2228 data_time: 0.0212 memory: 6108 grad_norm: 5.4768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1113 loss: 2.1113 2022/07/22 20:22:25 - mmengine - INFO - Epoch(train) [25][740/3757] lr: 1.0000e-02 eta: 18:31:11 time: 0.2233 data_time: 0.0203 memory: 6108 grad_norm: 5.4604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1079 loss: 2.1079 2022/07/22 20:22:30 - mmengine - INFO - Epoch(train) [25][760/3757] lr: 1.0000e-02 eta: 18:31:06 time: 0.2364 data_time: 0.0250 memory: 6108 grad_norm: 5.5345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9883 loss: 1.9883 2022/07/22 20:22:35 - mmengine - INFO - Epoch(train) [25][780/3757] lr: 1.0000e-02 eta: 18:31:02 time: 0.2327 data_time: 0.0204 memory: 6108 grad_norm: 5.4658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/07/22 20:22:39 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 1.0000e-02 eta: 18:30:56 time: 0.2244 data_time: 0.0245 memory: 6108 grad_norm: 5.6250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1856 loss: 2.1856 2022/07/22 20:22:44 - mmengine - INFO - Epoch(train) [25][820/3757] lr: 1.0000e-02 eta: 18:30:51 time: 0.2216 data_time: 0.0204 memory: 6108 grad_norm: 5.5861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9986 loss: 1.9986 2022/07/22 20:22:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:22:48 - mmengine - INFO - Epoch(train) [25][840/3757] lr: 1.0000e-02 eta: 18:30:46 time: 0.2251 data_time: 0.0256 memory: 6108 grad_norm: 5.6302 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2808 loss: 2.2808 2022/07/22 20:22:53 - mmengine - INFO - Epoch(train) [25][860/3757] lr: 1.0000e-02 eta: 18:30:40 time: 0.2247 data_time: 0.0195 memory: 6108 grad_norm: 5.7752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8916 loss: 1.8916 2022/07/22 20:22:57 - mmengine - INFO - Epoch(train) [25][880/3757] lr: 1.0000e-02 eta: 18:30:35 time: 0.2294 data_time: 0.0241 memory: 6108 grad_norm: 5.7180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3236 loss: 2.3236 2022/07/22 20:23:02 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 1.0000e-02 eta: 18:30:31 time: 0.2403 data_time: 0.0190 memory: 6108 grad_norm: 5.5964 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0294 loss: 2.0294 2022/07/22 20:23:07 - mmengine - INFO - Epoch(train) [25][920/3757] lr: 1.0000e-02 eta: 18:30:27 time: 0.2463 data_time: 0.0190 memory: 6108 grad_norm: 5.5136 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5431 loss: 2.5431 2022/07/22 20:23:12 - mmengine - INFO - Epoch(train) [25][940/3757] lr: 1.0000e-02 eta: 18:30:23 time: 0.2376 data_time: 0.0220 memory: 6108 grad_norm: 5.7902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2492 loss: 2.2492 2022/07/22 20:23:17 - mmengine - INFO - Epoch(train) [25][960/3757] lr: 1.0000e-02 eta: 18:30:18 time: 0.2320 data_time: 0.0208 memory: 6108 grad_norm: 5.9062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2084 loss: 2.2084 2022/07/22 20:23:21 - mmengine - INFO - Epoch(train) [25][980/3757] lr: 1.0000e-02 eta: 18:30:13 time: 0.2253 data_time: 0.0230 memory: 6108 grad_norm: 5.7255 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0822 loss: 2.0822 2022/07/22 20:23:26 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 1.0000e-02 eta: 18:30:08 time: 0.2291 data_time: 0.0246 memory: 6108 grad_norm: 5.6359 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1964 loss: 2.1964 2022/07/22 20:23:31 - mmengine - INFO - Epoch(train) [25][1020/3757] lr: 1.0000e-02 eta: 18:30:04 time: 0.2424 data_time: 0.0200 memory: 6108 grad_norm: 5.6094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1118 loss: 2.1118 2022/07/22 20:23:35 - mmengine - INFO - Epoch(train) [25][1040/3757] lr: 1.0000e-02 eta: 18:29:59 time: 0.2378 data_time: 0.0244 memory: 6108 grad_norm: 5.7165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1560 loss: 2.1560 2022/07/22 20:23:40 - mmengine - INFO - Epoch(train) [25][1060/3757] lr: 1.0000e-02 eta: 18:29:54 time: 0.2292 data_time: 0.0229 memory: 6108 grad_norm: 5.5404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0575 loss: 2.0575 2022/07/22 20:23:44 - mmengine - INFO - Epoch(train) [25][1080/3757] lr: 1.0000e-02 eta: 18:29:49 time: 0.2250 data_time: 0.0216 memory: 6108 grad_norm: 5.7028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1972 loss: 2.1972 2022/07/22 20:23:49 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 1.0000e-02 eta: 18:29:44 time: 0.2295 data_time: 0.0235 memory: 6108 grad_norm: 5.6180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0677 loss: 2.0677 2022/07/22 20:23:54 - mmengine - INFO - Epoch(train) [25][1120/3757] lr: 1.0000e-02 eta: 18:29:39 time: 0.2373 data_time: 0.0208 memory: 6108 grad_norm: 5.3497 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/07/22 20:23:58 - mmengine - INFO - Epoch(train) [25][1140/3757] lr: 1.0000e-02 eta: 18:29:34 time: 0.2240 data_time: 0.0227 memory: 6108 grad_norm: 5.6322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4257 loss: 2.4257 2022/07/22 20:24:03 - mmengine - INFO - Epoch(train) [25][1160/3757] lr: 1.0000e-02 eta: 18:29:29 time: 0.2340 data_time: 0.0194 memory: 6108 grad_norm: 5.5979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7179 loss: 1.7179 2022/07/22 20:24:08 - mmengine - INFO - Epoch(train) [25][1180/3757] lr: 1.0000e-02 eta: 18:29:25 time: 0.2410 data_time: 0.0177 memory: 6108 grad_norm: 5.6905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0187 loss: 2.0187 2022/07/22 20:24:13 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 1.0000e-02 eta: 18:29:21 time: 0.2369 data_time: 0.0242 memory: 6108 grad_norm: 5.7130 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9755 loss: 1.9755 2022/07/22 20:24:17 - mmengine - INFO - Epoch(train) [25][1220/3757] lr: 1.0000e-02 eta: 18:29:15 time: 0.2214 data_time: 0.0233 memory: 6108 grad_norm: 5.7609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2872 loss: 2.2872 2022/07/22 20:24:22 - mmengine - INFO - Epoch(train) [25][1240/3757] lr: 1.0000e-02 eta: 18:29:10 time: 0.2278 data_time: 0.0179 memory: 6108 grad_norm: 5.6423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3126 loss: 2.3126 2022/07/22 20:24:26 - mmengine - INFO - Epoch(train) [25][1260/3757] lr: 1.0000e-02 eta: 18:29:06 time: 0.2414 data_time: 0.0217 memory: 6108 grad_norm: 5.5180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/07/22 20:24:31 - mmengine - INFO - Epoch(train) [25][1280/3757] lr: 1.0000e-02 eta: 18:29:01 time: 0.2345 data_time: 0.0167 memory: 6108 grad_norm: 5.7099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2002 loss: 2.2002 2022/07/22 20:24:36 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 1.0000e-02 eta: 18:28:56 time: 0.2250 data_time: 0.0205 memory: 6108 grad_norm: 5.4963 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0218 loss: 2.0218 2022/07/22 20:24:40 - mmengine - INFO - Epoch(train) [25][1320/3757] lr: 1.0000e-02 eta: 18:28:51 time: 0.2255 data_time: 0.0255 memory: 6108 grad_norm: 5.4955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0152 loss: 2.0152 2022/07/22 20:24:45 - mmengine - INFO - Epoch(train) [25][1340/3757] lr: 1.0000e-02 eta: 18:28:46 time: 0.2304 data_time: 0.0250 memory: 6108 grad_norm: 5.5523 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4363 loss: 2.4363 2022/07/22 20:24:50 - mmengine - INFO - Epoch(train) [25][1360/3757] lr: 1.0000e-02 eta: 18:28:43 time: 0.2652 data_time: 0.0191 memory: 6108 grad_norm: 5.7112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9935 loss: 1.9935 2022/07/22 20:24:55 - mmengine - INFO - Epoch(train) [25][1380/3757] lr: 1.0000e-02 eta: 18:28:38 time: 0.2255 data_time: 0.0195 memory: 6108 grad_norm: 5.6110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1214 loss: 2.1214 2022/07/22 20:24:59 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 1.0000e-02 eta: 18:28:33 time: 0.2262 data_time: 0.0194 memory: 6108 grad_norm: 5.4727 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2297 loss: 2.2297 2022/07/22 20:25:04 - mmengine - INFO - Epoch(train) [25][1420/3757] lr: 1.0000e-02 eta: 18:28:28 time: 0.2380 data_time: 0.0214 memory: 6108 grad_norm: 5.4912 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3370 loss: 2.3370 2022/07/22 20:25:09 - mmengine - INFO - Epoch(train) [25][1440/3757] lr: 1.0000e-02 eta: 18:28:24 time: 0.2370 data_time: 0.0359 memory: 6108 grad_norm: 5.6310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0781 loss: 2.0781 2022/07/22 20:25:13 - mmengine - INFO - Epoch(train) [25][1460/3757] lr: 1.0000e-02 eta: 18:28:18 time: 0.2236 data_time: 0.0194 memory: 6108 grad_norm: 5.5209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1964 loss: 2.1964 2022/07/22 20:25:18 - mmengine - INFO - Epoch(train) [25][1480/3757] lr: 1.0000e-02 eta: 18:28:13 time: 0.2241 data_time: 0.0198 memory: 6108 grad_norm: 5.4298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0436 loss: 2.0436 2022/07/22 20:25:23 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 1.0000e-02 eta: 18:28:10 time: 0.2542 data_time: 0.0432 memory: 6108 grad_norm: 5.7615 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1050 loss: 2.1050 2022/07/22 20:25:27 - mmengine - INFO - Epoch(train) [25][1520/3757] lr: 1.0000e-02 eta: 18:28:05 time: 0.2342 data_time: 0.0384 memory: 6108 grad_norm: 5.7112 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2350 loss: 2.2350 2022/07/22 20:25:32 - mmengine - INFO - Epoch(train) [25][1540/3757] lr: 1.0000e-02 eta: 18:28:00 time: 0.2309 data_time: 0.0286 memory: 6108 grad_norm: 5.6123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/07/22 20:25:37 - mmengine - INFO - Epoch(train) [25][1560/3757] lr: 1.0000e-02 eta: 18:27:55 time: 0.2351 data_time: 0.0219 memory: 6108 grad_norm: 5.7595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3107 loss: 2.3107 2022/07/22 20:25:41 - mmengine - INFO - Epoch(train) [25][1580/3757] lr: 1.0000e-02 eta: 18:27:50 time: 0.2247 data_time: 0.0219 memory: 6108 grad_norm: 5.6304 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9114 loss: 1.9114 2022/07/22 20:25:46 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 1.0000e-02 eta: 18:27:45 time: 0.2273 data_time: 0.0240 memory: 6108 grad_norm: 5.5118 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4238 loss: 2.4238 2022/07/22 20:25:50 - mmengine - INFO - Epoch(train) [25][1620/3757] lr: 1.0000e-02 eta: 18:27:40 time: 0.2277 data_time: 0.0286 memory: 6108 grad_norm: 5.5245 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0663 loss: 2.0663 2022/07/22 20:25:55 - mmengine - INFO - Epoch(train) [25][1640/3757] lr: 1.0000e-02 eta: 18:27:36 time: 0.2448 data_time: 0.0200 memory: 6108 grad_norm: 5.3406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0306 loss: 2.0306 2022/07/22 20:26:00 - mmengine - INFO - Epoch(train) [25][1660/3757] lr: 1.0000e-02 eta: 18:27:31 time: 0.2324 data_time: 0.0279 memory: 6108 grad_norm: 5.5092 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8561 loss: 1.8561 2022/07/22 20:26:05 - mmengine - INFO - Epoch(train) [25][1680/3757] lr: 1.0000e-02 eta: 18:27:26 time: 0.2302 data_time: 0.0192 memory: 6108 grad_norm: 5.4205 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0165 loss: 2.0165 2022/07/22 20:26:09 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 1.0000e-02 eta: 18:27:22 time: 0.2387 data_time: 0.0225 memory: 6108 grad_norm: 5.4728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0442 loss: 2.0442 2022/07/22 20:26:15 - mmengine - INFO - Epoch(train) [25][1720/3757] lr: 1.0000e-02 eta: 18:27:19 time: 0.2660 data_time: 0.0267 memory: 6108 grad_norm: 5.5327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3264 loss: 2.3264 2022/07/22 20:26:19 - mmengine - INFO - Epoch(train) [25][1740/3757] lr: 1.0000e-02 eta: 18:27:13 time: 0.2172 data_time: 0.0221 memory: 6108 grad_norm: 5.4364 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9796 loss: 1.9796 2022/07/22 20:26:24 - mmengine - INFO - Epoch(train) [25][1760/3757] lr: 1.0000e-02 eta: 18:27:08 time: 0.2256 data_time: 0.0195 memory: 6108 grad_norm: 5.5603 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2502 loss: 2.2502 2022/07/22 20:26:28 - mmengine - INFO - Epoch(train) [25][1780/3757] lr: 1.0000e-02 eta: 18:27:03 time: 0.2306 data_time: 0.0230 memory: 6108 grad_norm: 5.4575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0298 loss: 2.0298 2022/07/22 20:26:33 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 1.0000e-02 eta: 18:26:59 time: 0.2400 data_time: 0.0295 memory: 6108 grad_norm: 5.3883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3841 loss: 2.3841 2022/07/22 20:26:38 - mmengine - INFO - Epoch(train) [25][1820/3757] lr: 1.0000e-02 eta: 18:26:55 time: 0.2401 data_time: 0.0243 memory: 6108 grad_norm: 5.6233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2932 loss: 2.2932 2022/07/22 20:26:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:26:42 - mmengine - INFO - Epoch(train) [25][1840/3757] lr: 1.0000e-02 eta: 18:26:50 time: 0.2273 data_time: 0.0192 memory: 6108 grad_norm: 5.5655 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1727 loss: 2.1727 2022/07/22 20:26:47 - mmengine - INFO - Epoch(train) [25][1860/3757] lr: 1.0000e-02 eta: 18:26:45 time: 0.2382 data_time: 0.0346 memory: 6108 grad_norm: 5.6285 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8994 loss: 1.8994 2022/07/22 20:26:52 - mmengine - INFO - Epoch(train) [25][1880/3757] lr: 1.0000e-02 eta: 18:26:40 time: 0.2223 data_time: 0.0234 memory: 6108 grad_norm: 5.4524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2106 loss: 2.2106 2022/07/22 20:26:56 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 1.0000e-02 eta: 18:26:35 time: 0.2245 data_time: 0.0204 memory: 6108 grad_norm: 5.5790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1735 loss: 2.1735 2022/07/22 20:27:01 - mmengine - INFO - Epoch(train) [25][1920/3757] lr: 1.0000e-02 eta: 18:26:30 time: 0.2308 data_time: 0.0257 memory: 6108 grad_norm: 5.4975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0628 loss: 2.0628 2022/07/22 20:27:06 - mmengine - INFO - Epoch(train) [25][1940/3757] lr: 1.0000e-02 eta: 18:26:26 time: 0.2463 data_time: 0.0182 memory: 6108 grad_norm: 5.5440 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6780 loss: 1.6780 2022/07/22 20:27:10 - mmengine - INFO - Epoch(train) [25][1960/3757] lr: 1.0000e-02 eta: 18:26:20 time: 0.2229 data_time: 0.0233 memory: 6108 grad_norm: 5.5920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1585 loss: 2.1585 2022/07/22 20:27:16 - mmengine - INFO - Epoch(train) [25][1980/3757] lr: 1.0000e-02 eta: 18:26:18 time: 0.2705 data_time: 0.0207 memory: 6108 grad_norm: 5.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/07/22 20:27:20 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 1.0000e-02 eta: 18:26:12 time: 0.2183 data_time: 0.0200 memory: 6108 grad_norm: 5.6927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2620 loss: 2.2620 2022/07/22 20:27:25 - mmengine - INFO - Epoch(train) [25][2020/3757] lr: 1.0000e-02 eta: 18:26:08 time: 0.2372 data_time: 0.0234 memory: 6108 grad_norm: 5.6108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/07/22 20:27:29 - mmengine - INFO - Epoch(train) [25][2040/3757] lr: 1.0000e-02 eta: 18:26:02 time: 0.2240 data_time: 0.0214 memory: 6108 grad_norm: 5.6122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1742 loss: 2.1742 2022/07/22 20:27:34 - mmengine - INFO - Epoch(train) [25][2060/3757] lr: 1.0000e-02 eta: 18:25:57 time: 0.2238 data_time: 0.0208 memory: 6108 grad_norm: 5.5372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9283 loss: 1.9283 2022/07/22 20:27:38 - mmengine - INFO - Epoch(train) [25][2080/3757] lr: 1.0000e-02 eta: 18:25:52 time: 0.2231 data_time: 0.0223 memory: 6108 grad_norm: 5.4306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9800 loss: 1.9800 2022/07/22 20:27:43 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 1.0000e-02 eta: 18:25:48 time: 0.2449 data_time: 0.0253 memory: 6108 grad_norm: 5.5444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1070 loss: 2.1070 2022/07/22 20:27:48 - mmengine - INFO - Epoch(train) [25][2120/3757] lr: 1.0000e-02 eta: 18:25:44 time: 0.2423 data_time: 0.0212 memory: 6108 grad_norm: 5.7875 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5543 loss: 2.5543 2022/07/22 20:27:53 - mmengine - INFO - Epoch(train) [25][2140/3757] lr: 1.0000e-02 eta: 18:25:39 time: 0.2332 data_time: 0.0232 memory: 6108 grad_norm: 5.6055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8698 loss: 1.8698 2022/07/22 20:27:57 - mmengine - INFO - Epoch(train) [25][2160/3757] lr: 1.0000e-02 eta: 18:25:34 time: 0.2298 data_time: 0.0207 memory: 6108 grad_norm: 5.6656 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0665 loss: 2.0665 2022/07/22 20:28:02 - mmengine - INFO - Epoch(train) [25][2180/3757] lr: 1.0000e-02 eta: 18:25:30 time: 0.2501 data_time: 0.0214 memory: 6108 grad_norm: 5.6549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9178 loss: 1.9178 2022/07/22 20:28:07 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 1.0000e-02 eta: 18:25:26 time: 0.2360 data_time: 0.0223 memory: 6108 grad_norm: 5.8208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1419 loss: 2.1419 2022/07/22 20:28:11 - mmengine - INFO - Epoch(train) [25][2220/3757] lr: 1.0000e-02 eta: 18:25:20 time: 0.2206 data_time: 0.0234 memory: 6108 grad_norm: 5.7364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0101 loss: 2.0101 2022/07/22 20:28:16 - mmengine - INFO - Epoch(train) [25][2240/3757] lr: 1.0000e-02 eta: 18:25:15 time: 0.2260 data_time: 0.0183 memory: 6108 grad_norm: 5.4501 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9146 loss: 1.9146 2022/07/22 20:28:21 - mmengine - INFO - Epoch(train) [25][2260/3757] lr: 1.0000e-02 eta: 18:25:11 time: 0.2473 data_time: 0.0228 memory: 6108 grad_norm: 5.6995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0667 loss: 2.0667 2022/07/22 20:28:26 - mmengine - INFO - Epoch(train) [25][2280/3757] lr: 1.0000e-02 eta: 18:25:06 time: 0.2345 data_time: 0.0235 memory: 6108 grad_norm: 5.5996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2554 loss: 2.2554 2022/07/22 20:28:30 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 1.0000e-02 eta: 18:25:02 time: 0.2446 data_time: 0.0238 memory: 6108 grad_norm: 5.5732 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1724 loss: 2.1724 2022/07/22 20:28:35 - mmengine - INFO - Epoch(train) [25][2320/3757] lr: 1.0000e-02 eta: 18:24:57 time: 0.2257 data_time: 0.0231 memory: 6108 grad_norm: 5.8132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1527 loss: 2.1527 2022/07/22 20:28:40 - mmengine - INFO - Epoch(train) [25][2340/3757] lr: 1.0000e-02 eta: 18:24:52 time: 0.2293 data_time: 0.0333 memory: 6108 grad_norm: 5.5187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1885 loss: 2.1885 2022/07/22 20:28:45 - mmengine - INFO - Epoch(train) [25][2360/3757] lr: 1.0000e-02 eta: 18:24:48 time: 0.2485 data_time: 0.0193 memory: 6108 grad_norm: 5.6273 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1927 loss: 2.1927 2022/07/22 20:28:49 - mmengine - INFO - Epoch(train) [25][2380/3757] lr: 1.0000e-02 eta: 18:24:43 time: 0.2246 data_time: 0.0240 memory: 6108 grad_norm: 5.7214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0162 loss: 2.0162 2022/07/22 20:28:54 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 1.0000e-02 eta: 18:24:38 time: 0.2308 data_time: 0.0257 memory: 6108 grad_norm: 5.7407 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2737 loss: 2.2737 2022/07/22 20:28:58 - mmengine - INFO - Epoch(train) [25][2420/3757] lr: 1.0000e-02 eta: 18:24:33 time: 0.2278 data_time: 0.0275 memory: 6108 grad_norm: 5.7256 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1723 loss: 2.1723 2022/07/22 20:29:03 - mmengine - INFO - Epoch(train) [25][2440/3757] lr: 1.0000e-02 eta: 18:24:28 time: 0.2236 data_time: 0.0222 memory: 6108 grad_norm: 5.6969 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9644 loss: 1.9644 2022/07/22 20:29:07 - mmengine - INFO - Epoch(train) [25][2460/3757] lr: 1.0000e-02 eta: 18:24:23 time: 0.2316 data_time: 0.0221 memory: 6108 grad_norm: 5.4331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7606 loss: 1.7606 2022/07/22 20:29:13 - mmengine - INFO - Epoch(train) [25][2480/3757] lr: 1.0000e-02 eta: 18:24:20 time: 0.2676 data_time: 0.0172 memory: 6108 grad_norm: 5.5453 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1480 loss: 2.1480 2022/07/22 20:29:17 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 1.0000e-02 eta: 18:24:15 time: 0.2241 data_time: 0.0217 memory: 6108 grad_norm: 5.5885 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1168 loss: 2.1168 2022/07/22 20:29:22 - mmengine - INFO - Epoch(train) [25][2520/3757] lr: 1.0000e-02 eta: 18:24:11 time: 0.2468 data_time: 0.0256 memory: 6108 grad_norm: 5.6341 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1216 loss: 2.1216 2022/07/22 20:29:27 - mmengine - INFO - Epoch(train) [25][2540/3757] lr: 1.0000e-02 eta: 18:24:07 time: 0.2366 data_time: 0.0242 memory: 6108 grad_norm: 5.7321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9491 loss: 1.9491 2022/07/22 20:29:31 - mmengine - INFO - Epoch(train) [25][2560/3757] lr: 1.0000e-02 eta: 18:24:02 time: 0.2290 data_time: 0.0340 memory: 6108 grad_norm: 5.4572 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2427 loss: 2.2427 2022/07/22 20:29:36 - mmengine - INFO - Epoch(train) [25][2580/3757] lr: 1.0000e-02 eta: 18:23:57 time: 0.2262 data_time: 0.0192 memory: 6108 grad_norm: 5.5950 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9698 loss: 1.9698 2022/07/22 20:29:40 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 1.0000e-02 eta: 18:23:51 time: 0.2231 data_time: 0.0225 memory: 6108 grad_norm: 5.7520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2038 loss: 2.2038 2022/07/22 20:29:45 - mmengine - INFO - Epoch(train) [25][2620/3757] lr: 1.0000e-02 eta: 18:23:47 time: 0.2429 data_time: 0.0257 memory: 6108 grad_norm: 5.5792 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0560 loss: 2.0560 2022/07/22 20:29:50 - mmengine - INFO - Epoch(train) [25][2640/3757] lr: 1.0000e-02 eta: 18:23:42 time: 0.2218 data_time: 0.0226 memory: 6108 grad_norm: 5.4409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9769 loss: 1.9769 2022/07/22 20:29:54 - mmengine - INFO - Epoch(train) [25][2660/3757] lr: 1.0000e-02 eta: 18:23:36 time: 0.2248 data_time: 0.0184 memory: 6108 grad_norm: 5.6261 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7956 loss: 1.7956 2022/07/22 20:29:59 - mmengine - INFO - Epoch(train) [25][2680/3757] lr: 1.0000e-02 eta: 18:23:33 time: 0.2508 data_time: 0.0236 memory: 6108 grad_norm: 5.5190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0999 loss: 2.0999 2022/07/22 20:30:04 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 1.0000e-02 eta: 18:23:28 time: 0.2394 data_time: 0.0216 memory: 6108 grad_norm: 5.5795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3206 loss: 2.3206 2022/07/22 20:30:09 - mmengine - INFO - Epoch(train) [25][2720/3757] lr: 1.0000e-02 eta: 18:23:23 time: 0.2297 data_time: 0.0224 memory: 6108 grad_norm: 5.6685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2587 loss: 2.2587 2022/07/22 20:30:13 - mmengine - INFO - Epoch(train) [25][2740/3757] lr: 1.0000e-02 eta: 18:23:19 time: 0.2330 data_time: 0.0201 memory: 6108 grad_norm: 5.6041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0966 loss: 2.0966 2022/07/22 20:30:18 - mmengine - INFO - Epoch(train) [25][2760/3757] lr: 1.0000e-02 eta: 18:23:14 time: 0.2374 data_time: 0.0228 memory: 6108 grad_norm: 5.6110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9842 loss: 1.9842 2022/07/22 20:30:23 - mmengine - INFO - Epoch(train) [25][2780/3757] lr: 1.0000e-02 eta: 18:23:09 time: 0.2232 data_time: 0.0209 memory: 6108 grad_norm: 5.5289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9810 loss: 1.9810 2022/07/22 20:30:27 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 1.0000e-02 eta: 18:23:04 time: 0.2281 data_time: 0.0248 memory: 6108 grad_norm: 5.7174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9375 loss: 1.9375 2022/07/22 20:30:32 - mmengine - INFO - Epoch(train) [25][2820/3757] lr: 1.0000e-02 eta: 18:23:00 time: 0.2499 data_time: 0.0216 memory: 6108 grad_norm: 5.5278 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1738 loss: 2.1738 2022/07/22 20:30:35 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:30:37 - mmengine - INFO - Epoch(train) [25][2840/3757] lr: 1.0000e-02 eta: 18:22:56 time: 0.2452 data_time: 0.0172 memory: 6108 grad_norm: 5.4621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1088 loss: 2.1088 2022/07/22 20:30:42 - mmengine - INFO - Epoch(train) [25][2860/3757] lr: 1.0000e-02 eta: 18:22:51 time: 0.2245 data_time: 0.0226 memory: 6108 grad_norm: 5.6309 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1275 loss: 2.1275 2022/07/22 20:30:46 - mmengine - INFO - Epoch(train) [25][2880/3757] lr: 1.0000e-02 eta: 18:22:46 time: 0.2305 data_time: 0.0220 memory: 6108 grad_norm: 5.6240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1029 loss: 2.1029 2022/07/22 20:30:51 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 1.0000e-02 eta: 18:22:41 time: 0.2226 data_time: 0.0243 memory: 6108 grad_norm: 5.5892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8669 loss: 1.8669 2022/07/22 20:30:55 - mmengine - INFO - Epoch(train) [25][2920/3757] lr: 1.0000e-02 eta: 18:22:35 time: 0.2236 data_time: 0.0240 memory: 6108 grad_norm: 5.5921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2450 loss: 2.2450 2022/07/22 20:31:00 - mmengine - INFO - Epoch(train) [25][2940/3757] lr: 1.0000e-02 eta: 18:22:30 time: 0.2236 data_time: 0.0234 memory: 6108 grad_norm: 5.5800 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1684 loss: 2.1684 2022/07/22 20:31:05 - mmengine - INFO - Epoch(train) [25][2960/3757] lr: 1.0000e-02 eta: 18:22:26 time: 0.2451 data_time: 0.0209 memory: 6108 grad_norm: 5.7006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/07/22 20:31:10 - mmengine - INFO - Epoch(train) [25][2980/3757] lr: 1.0000e-02 eta: 18:22:22 time: 0.2494 data_time: 0.0233 memory: 6108 grad_norm: 5.6053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2470 loss: 2.2470 2022/07/22 20:31:14 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 1.0000e-02 eta: 18:22:17 time: 0.2255 data_time: 0.0178 memory: 6108 grad_norm: 5.4079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0737 loss: 2.0737 2022/07/22 20:31:19 - mmengine - INFO - Epoch(train) [25][3020/3757] lr: 1.0000e-02 eta: 18:22:12 time: 0.2270 data_time: 0.0221 memory: 6108 grad_norm: 5.6619 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8467 loss: 1.8467 2022/07/22 20:31:23 - mmengine - INFO - Epoch(train) [25][3040/3757] lr: 1.0000e-02 eta: 18:22:06 time: 0.2218 data_time: 0.0237 memory: 6108 grad_norm: 5.4918 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1324 loss: 2.1324 2022/07/22 20:31:28 - mmengine - INFO - Epoch(train) [25][3060/3757] lr: 1.0000e-02 eta: 18:22:02 time: 0.2434 data_time: 0.0198 memory: 6108 grad_norm: 5.5361 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2573 loss: 2.2573 2022/07/22 20:31:33 - mmengine - INFO - Epoch(train) [25][3080/3757] lr: 1.0000e-02 eta: 18:21:58 time: 0.2437 data_time: 0.0185 memory: 6108 grad_norm: 5.7193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1679 loss: 2.1679 2022/07/22 20:31:37 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 1.0000e-02 eta: 18:21:53 time: 0.2231 data_time: 0.0249 memory: 6108 grad_norm: 5.6072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2881 loss: 2.2881 2022/07/22 20:31:42 - mmengine - INFO - Epoch(train) [25][3120/3757] lr: 1.0000e-02 eta: 18:21:48 time: 0.2258 data_time: 0.0162 memory: 6108 grad_norm: 5.7185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9999 loss: 1.9999 2022/07/22 20:31:47 - mmengine - INFO - Epoch(train) [25][3140/3757] lr: 1.0000e-02 eta: 18:21:43 time: 0.2430 data_time: 0.0221 memory: 6108 grad_norm: 5.5420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/07/22 20:31:52 - mmengine - INFO - Epoch(train) [25][3160/3757] lr: 1.0000e-02 eta: 18:21:39 time: 0.2419 data_time: 0.0344 memory: 6108 grad_norm: 5.3998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7628 loss: 1.7628 2022/07/22 20:31:56 - mmengine - INFO - Epoch(train) [25][3180/3757] lr: 1.0000e-02 eta: 18:21:35 time: 0.2357 data_time: 0.0246 memory: 6108 grad_norm: 5.5965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2268 loss: 2.2268 2022/07/22 20:32:01 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 1.0000e-02 eta: 18:21:30 time: 0.2267 data_time: 0.0243 memory: 6108 grad_norm: 5.6461 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2250 loss: 2.2250 2022/07/22 20:32:06 - mmengine - INFO - Epoch(train) [25][3220/3757] lr: 1.0000e-02 eta: 18:21:26 time: 0.2472 data_time: 0.0290 memory: 6108 grad_norm: 5.7046 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0749 loss: 2.0749 2022/07/22 20:32:10 - mmengine - INFO - Epoch(train) [25][3240/3757] lr: 1.0000e-02 eta: 18:21:20 time: 0.2186 data_time: 0.0258 memory: 6108 grad_norm: 5.7512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2232 loss: 2.2232 2022/07/22 20:32:15 - mmengine - INFO - Epoch(train) [25][3260/3757] lr: 1.0000e-02 eta: 18:21:15 time: 0.2355 data_time: 0.0238 memory: 6108 grad_norm: 5.7288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1406 loss: 2.1406 2022/07/22 20:32:20 - mmengine - INFO - Epoch(train) [25][3280/3757] lr: 1.0000e-02 eta: 18:21:11 time: 0.2312 data_time: 0.0238 memory: 6108 grad_norm: 5.5597 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0848 loss: 2.0848 2022/07/22 20:32:25 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 1.0000e-02 eta: 18:21:07 time: 0.2595 data_time: 0.0196 memory: 6108 grad_norm: 5.6498 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0717 loss: 2.0717 2022/07/22 20:32:29 - mmengine - INFO - Epoch(train) [25][3320/3757] lr: 1.0000e-02 eta: 18:21:02 time: 0.2278 data_time: 0.0189 memory: 6108 grad_norm: 5.6162 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9530 loss: 1.9530 2022/07/22 20:32:34 - mmengine - INFO - Epoch(train) [25][3340/3757] lr: 1.0000e-02 eta: 18:20:57 time: 0.2263 data_time: 0.0203 memory: 6108 grad_norm: 5.5377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7406 loss: 1.7406 2022/07/22 20:32:38 - mmengine - INFO - Epoch(train) [25][3360/3757] lr: 1.0000e-02 eta: 18:20:52 time: 0.2259 data_time: 0.0212 memory: 6108 grad_norm: 5.3883 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9679 loss: 1.9679 2022/07/22 20:32:43 - mmengine - INFO - Epoch(train) [25][3380/3757] lr: 1.0000e-02 eta: 18:20:48 time: 0.2448 data_time: 0.0195 memory: 6108 grad_norm: 5.6780 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8293 loss: 1.8293 2022/07/22 20:32:48 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 1.0000e-02 eta: 18:20:44 time: 0.2476 data_time: 0.0208 memory: 6108 grad_norm: 5.6743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9365 loss: 1.9365 2022/07/22 20:32:53 - mmengine - INFO - Epoch(train) [25][3420/3757] lr: 1.0000e-02 eta: 18:20:39 time: 0.2215 data_time: 0.0253 memory: 6108 grad_norm: 5.5463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4121 loss: 2.4121 2022/07/22 20:32:58 - mmengine - INFO - Epoch(train) [25][3440/3757] lr: 1.0000e-02 eta: 18:20:36 time: 0.2619 data_time: 0.0230 memory: 6108 grad_norm: 5.5439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8904 loss: 1.8904 2022/07/22 20:33:02 - mmengine - INFO - Epoch(train) [25][3460/3757] lr: 1.0000e-02 eta: 18:20:30 time: 0.2208 data_time: 0.0217 memory: 6108 grad_norm: 5.7248 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1990 loss: 2.1990 2022/07/22 20:33:07 - mmengine - INFO - Epoch(train) [25][3480/3757] lr: 1.0000e-02 eta: 18:20:26 time: 0.2403 data_time: 0.0223 memory: 6108 grad_norm: 5.4700 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0856 loss: 2.0856 2022/07/22 20:33:12 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 1.0000e-02 eta: 18:20:21 time: 0.2312 data_time: 0.0315 memory: 6108 grad_norm: 5.5029 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8031 loss: 1.8031 2022/07/22 20:33:17 - mmengine - INFO - Epoch(train) [25][3520/3757] lr: 1.0000e-02 eta: 18:20:17 time: 0.2469 data_time: 0.0510 memory: 6108 grad_norm: 5.5292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1444 loss: 2.1444 2022/07/22 20:33:21 - mmengine - INFO - Epoch(train) [25][3540/3757] lr: 1.0000e-02 eta: 18:20:12 time: 0.2247 data_time: 0.0200 memory: 6108 grad_norm: 5.4979 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0526 loss: 2.0526 2022/07/22 20:33:26 - mmengine - INFO - Epoch(train) [25][3560/3757] lr: 1.0000e-02 eta: 18:20:07 time: 0.2359 data_time: 0.0191 memory: 6108 grad_norm: 5.6413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0851 loss: 2.0851 2022/07/22 20:33:31 - mmengine - INFO - Epoch(train) [25][3580/3757] lr: 1.0000e-02 eta: 18:20:02 time: 0.2299 data_time: 0.0258 memory: 6108 grad_norm: 5.5632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9870 loss: 1.9870 2022/07/22 20:33:35 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 1.0000e-02 eta: 18:19:57 time: 0.2228 data_time: 0.0204 memory: 6108 grad_norm: 5.7150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0815 loss: 2.0815 2022/07/22 20:33:40 - mmengine - INFO - Epoch(train) [25][3620/3757] lr: 1.0000e-02 eta: 18:19:53 time: 0.2496 data_time: 0.0492 memory: 6108 grad_norm: 5.5939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0603 loss: 2.0603 2022/07/22 20:33:45 - mmengine - INFO - Epoch(train) [25][3640/3757] lr: 1.0000e-02 eta: 18:19:50 time: 0.2549 data_time: 0.0211 memory: 6108 grad_norm: 5.4826 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2977 loss: 2.2977 2022/07/22 20:33:50 - mmengine - INFO - Epoch(train) [25][3660/3757] lr: 1.0000e-02 eta: 18:19:45 time: 0.2249 data_time: 0.0184 memory: 6108 grad_norm: 5.4844 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9715 loss: 1.9715 2022/07/22 20:33:54 - mmengine - INFO - Epoch(train) [25][3680/3757] lr: 1.0000e-02 eta: 18:19:40 time: 0.2298 data_time: 0.0182 memory: 6108 grad_norm: 5.5402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0107 loss: 2.0107 2022/07/22 20:33:59 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 1.0000e-02 eta: 18:19:36 time: 0.2552 data_time: 0.0220 memory: 6108 grad_norm: 5.5001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1211 loss: 2.1211 2022/07/22 20:34:04 - mmengine - INFO - Epoch(train) [25][3720/3757] lr: 1.0000e-02 eta: 18:19:31 time: 0.2311 data_time: 0.0223 memory: 6108 grad_norm: 5.5997 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3384 loss: 2.3384 2022/07/22 20:34:09 - mmengine - INFO - Epoch(train) [25][3740/3757] lr: 1.0000e-02 eta: 18:19:27 time: 0.2343 data_time: 0.0246 memory: 6108 grad_norm: 5.6321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3126 loss: 2.3126 2022/07/22 20:34:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:34:12 - mmengine - INFO - Epoch(train) [25][3757/3757] lr: 1.0000e-02 eta: 18:19:27 time: 0.1921 data_time: 0.0167 memory: 6108 grad_norm: 5.5474 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.2464 loss: 2.2464 2022/07/22 20:34:12 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/07/22 20:34:21 - mmengine - INFO - Epoch(val) [25][20/310] eta: 0:01:17 time: 0.2683 data_time: 0.1929 memory: 1428 2022/07/22 20:34:26 - mmengine - INFO - Epoch(val) [25][40/310] eta: 0:00:58 time: 0.2152 data_time: 0.1149 memory: 1428 2022/07/22 20:34:30 - mmengine - INFO - Epoch(val) [25][60/310] eta: 0:00:51 time: 0.2074 data_time: 0.1333 memory: 1428 2022/07/22 20:34:34 - mmengine - INFO - Epoch(val) [25][80/310] eta: 0:00:46 time: 0.2015 data_time: 0.1284 memory: 1428 2022/07/22 20:34:38 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:00:46 time: 0.2218 data_time: 0.1454 memory: 1428 2022/07/22 20:34:42 - mmengine - INFO - Epoch(val) [25][120/310] eta: 0:00:37 time: 0.1987 data_time: 0.1237 memory: 1428 2022/07/22 20:34:47 - mmengine - INFO - Epoch(val) [25][140/310] eta: 0:00:41 time: 0.2422 data_time: 0.1682 memory: 1428 2022/07/22 20:34:51 - mmengine - INFO - Epoch(val) [25][160/310] eta: 0:00:28 time: 0.1895 data_time: 0.1197 memory: 1428 2022/07/22 20:34:56 - mmengine - INFO - Epoch(val) [25][180/310] eta: 0:00:32 time: 0.2478 data_time: 0.1741 memory: 1428 2022/07/22 20:34:59 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:00:20 time: 0.1847 data_time: 0.1104 memory: 1428 2022/07/22 20:35:05 - mmengine - INFO - Epoch(val) [25][220/310] eta: 0:00:25 time: 0.2889 data_time: 0.2162 memory: 1428 2022/07/22 20:35:09 - mmengine - INFO - Epoch(val) [25][240/310] eta: 0:00:12 time: 0.1814 data_time: 0.1070 memory: 1428 2022/07/22 20:35:13 - mmengine - INFO - Epoch(val) [25][260/310] eta: 0:00:11 time: 0.2318 data_time: 0.1581 memory: 1428 2022/07/22 20:35:17 - mmengine - INFO - Epoch(val) [25][280/310] eta: 0:00:04 time: 0.1661 data_time: 0.0966 memory: 1428 2022/07/22 20:35:20 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:01 time: 0.1448 data_time: 0.0894 memory: 1428 2022/07/22 20:35:22 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.5495 acc/top5: 0.7918 acc/mean1: 0.5493 2022/07/22 20:35:29 - mmengine - INFO - Epoch(train) [26][20/3757] lr: 1.0000e-02 eta: 18:19:11 time: 0.3224 data_time: 0.1058 memory: 6108 grad_norm: 5.4274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0249 loss: 2.0249 2022/07/22 20:35:34 - mmengine - INFO - Epoch(train) [26][40/3757] lr: 1.0000e-02 eta: 18:19:07 time: 0.2441 data_time: 0.0283 memory: 6108 grad_norm: 5.5123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6469 loss: 1.6469 2022/07/22 20:35:38 - mmengine - INFO - Epoch(train) [26][60/3757] lr: 1.0000e-02 eta: 18:19:03 time: 0.2341 data_time: 0.0212 memory: 6108 grad_norm: 5.6500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0719 loss: 2.0719 2022/07/22 20:35:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:35:43 - mmengine - INFO - Epoch(train) [26][80/3757] lr: 1.0000e-02 eta: 18:18:58 time: 0.2405 data_time: 0.0165 memory: 6108 grad_norm: 5.7228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9459 loss: 1.9459 2022/07/22 20:35:48 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 1.0000e-02 eta: 18:18:54 time: 0.2430 data_time: 0.0199 memory: 6108 grad_norm: 5.6234 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1220 loss: 2.1220 2022/07/22 20:35:53 - mmengine - INFO - Epoch(train) [26][120/3757] lr: 1.0000e-02 eta: 18:18:49 time: 0.2247 data_time: 0.0251 memory: 6108 grad_norm: 5.4741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1688 loss: 2.1688 2022/07/22 20:35:57 - mmengine - INFO - Epoch(train) [26][140/3757] lr: 1.0000e-02 eta: 18:18:44 time: 0.2351 data_time: 0.0248 memory: 6108 grad_norm: 5.5368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8980 loss: 1.8980 2022/07/22 20:36:02 - mmengine - INFO - Epoch(train) [26][160/3757] lr: 1.0000e-02 eta: 18:18:39 time: 0.2237 data_time: 0.0181 memory: 6108 grad_norm: 5.5043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/07/22 20:36:06 - mmengine - INFO - Epoch(train) [26][180/3757] lr: 1.0000e-02 eta: 18:18:34 time: 0.2220 data_time: 0.0239 memory: 6108 grad_norm: 5.3013 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0836 loss: 2.0836 2022/07/22 20:36:11 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 1.0000e-02 eta: 18:18:28 time: 0.2221 data_time: 0.0200 memory: 6108 grad_norm: 5.6753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0053 loss: 2.0053 2022/07/22 20:36:16 - mmengine - INFO - Epoch(train) [26][220/3757] lr: 1.0000e-02 eta: 18:18:25 time: 0.2620 data_time: 0.0204 memory: 6108 grad_norm: 5.5457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2036 loss: 2.2036 2022/07/22 20:36:20 - mmengine - INFO - Epoch(train) [26][240/3757] lr: 1.0000e-02 eta: 18:18:20 time: 0.2167 data_time: 0.0237 memory: 6108 grad_norm: 5.6641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1081 loss: 2.1081 2022/07/22 20:36:25 - mmengine - INFO - Epoch(train) [26][260/3757] lr: 1.0000e-02 eta: 18:18:14 time: 0.2233 data_time: 0.0210 memory: 6108 grad_norm: 5.5741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1537 loss: 2.1537 2022/07/22 20:36:30 - mmengine - INFO - Epoch(train) [26][280/3757] lr: 1.0000e-02 eta: 18:18:10 time: 0.2434 data_time: 0.0193 memory: 6108 grad_norm: 5.6190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0498 loss: 2.0498 2022/07/22 20:36:34 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 1.0000e-02 eta: 18:18:05 time: 0.2278 data_time: 0.0210 memory: 6108 grad_norm: 5.4248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0341 loss: 2.0341 2022/07/22 20:36:39 - mmengine - INFO - Epoch(train) [26][320/3757] lr: 1.0000e-02 eta: 18:18:01 time: 0.2499 data_time: 0.0211 memory: 6108 grad_norm: 5.6225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1696 loss: 2.1696 2022/07/22 20:36:44 - mmengine - INFO - Epoch(train) [26][340/3757] lr: 1.0000e-02 eta: 18:17:57 time: 0.2380 data_time: 0.0209 memory: 6108 grad_norm: 5.6462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8252 loss: 1.8252 2022/07/22 20:36:49 - mmengine - INFO - Epoch(train) [26][360/3757] lr: 1.0000e-02 eta: 18:17:53 time: 0.2508 data_time: 0.0244 memory: 6108 grad_norm: 5.7293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1900 loss: 2.1900 2022/07/22 20:36:53 - mmengine - INFO - Epoch(train) [26][380/3757] lr: 1.0000e-02 eta: 18:17:48 time: 0.2217 data_time: 0.0201 memory: 6108 grad_norm: 5.5512 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/07/22 20:36:58 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 1.0000e-02 eta: 18:17:43 time: 0.2246 data_time: 0.0179 memory: 6108 grad_norm: 5.7237 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0569 loss: 2.0569 2022/07/22 20:37:03 - mmengine - INFO - Epoch(train) [26][420/3757] lr: 1.0000e-02 eta: 18:17:38 time: 0.2377 data_time: 0.0237 memory: 6108 grad_norm: 5.5347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9645 loss: 1.9645 2022/07/22 20:37:07 - mmengine - INFO - Epoch(train) [26][440/3757] lr: 1.0000e-02 eta: 18:17:34 time: 0.2385 data_time: 0.0224 memory: 6108 grad_norm: 5.5834 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8440 loss: 1.8440 2022/07/22 20:37:12 - mmengine - INFO - Epoch(train) [26][460/3757] lr: 1.0000e-02 eta: 18:17:28 time: 0.2261 data_time: 0.0217 memory: 6108 grad_norm: 5.6085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0122 loss: 2.0122 2022/07/22 20:37:17 - mmengine - INFO - Epoch(train) [26][480/3757] lr: 1.0000e-02 eta: 18:17:24 time: 0.2381 data_time: 0.0257 memory: 6108 grad_norm: 5.4551 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9492 loss: 1.9492 2022/07/22 20:37:21 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 1.0000e-02 eta: 18:17:19 time: 0.2266 data_time: 0.0261 memory: 6108 grad_norm: 5.7399 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1063 loss: 2.1063 2022/07/22 20:37:26 - mmengine - INFO - Epoch(train) [26][520/3757] lr: 1.0000e-02 eta: 18:17:14 time: 0.2267 data_time: 0.0190 memory: 6108 grad_norm: 5.4629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/07/22 20:37:30 - mmengine - INFO - Epoch(train) [26][540/3757] lr: 1.0000e-02 eta: 18:17:09 time: 0.2251 data_time: 0.0222 memory: 6108 grad_norm: 5.5886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9939 loss: 1.9939 2022/07/22 20:37:35 - mmengine - INFO - Epoch(train) [26][560/3757] lr: 1.0000e-02 eta: 18:17:04 time: 0.2282 data_time: 0.0209 memory: 6108 grad_norm: 5.7115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3817 loss: 2.3817 2022/07/22 20:37:40 - mmengine - INFO - Epoch(train) [26][580/3757] lr: 1.0000e-02 eta: 18:16:59 time: 0.2375 data_time: 0.0216 memory: 6108 grad_norm: 5.6378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2353 loss: 2.2353 2022/07/22 20:37:44 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 1.0000e-02 eta: 18:16:54 time: 0.2239 data_time: 0.0226 memory: 6108 grad_norm: 5.7323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2807 loss: 2.2807 2022/07/22 20:37:49 - mmengine - INFO - Epoch(train) [26][620/3757] lr: 1.0000e-02 eta: 18:16:49 time: 0.2341 data_time: 0.0252 memory: 6108 grad_norm: 5.4630 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1852 loss: 2.1852 2022/07/22 20:37:54 - mmengine - INFO - Epoch(train) [26][640/3757] lr: 1.0000e-02 eta: 18:16:45 time: 0.2419 data_time: 0.0317 memory: 6108 grad_norm: 5.7255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1540 loss: 2.1540 2022/07/22 20:37:58 - mmengine - INFO - Epoch(train) [26][660/3757] lr: 1.0000e-02 eta: 18:16:40 time: 0.2340 data_time: 0.0224 memory: 6108 grad_norm: 5.4429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3664 loss: 2.3664 2022/07/22 20:38:03 - mmengine - INFO - Epoch(train) [26][680/3757] lr: 1.0000e-02 eta: 18:16:35 time: 0.2252 data_time: 0.0209 memory: 6108 grad_norm: 5.5845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1079 loss: 2.1079 2022/07/22 20:38:08 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 1.0000e-02 eta: 18:16:31 time: 0.2441 data_time: 0.0236 memory: 6108 grad_norm: 5.5009 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2677 loss: 2.2677 2022/07/22 20:38:12 - mmengine - INFO - Epoch(train) [26][720/3757] lr: 1.0000e-02 eta: 18:16:26 time: 0.2287 data_time: 0.0222 memory: 6108 grad_norm: 5.6146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2067 loss: 2.2067 2022/07/22 20:38:17 - mmengine - INFO - Epoch(train) [26][740/3757] lr: 1.0000e-02 eta: 18:16:22 time: 0.2496 data_time: 0.0180 memory: 6108 grad_norm: 5.5105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1334 loss: 2.1334 2022/07/22 20:38:22 - mmengine - INFO - Epoch(train) [26][760/3757] lr: 1.0000e-02 eta: 18:16:17 time: 0.2228 data_time: 0.0204 memory: 6108 grad_norm: 5.3993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9757 loss: 1.9757 2022/07/22 20:38:26 - mmengine - INFO - Epoch(train) [26][780/3757] lr: 1.0000e-02 eta: 18:16:11 time: 0.2234 data_time: 0.0226 memory: 6108 grad_norm: 5.4915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1368 loss: 2.1368 2022/07/22 20:38:31 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 1.0000e-02 eta: 18:16:06 time: 0.2251 data_time: 0.0200 memory: 6108 grad_norm: 5.5475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8723 loss: 1.8723 2022/07/22 20:38:36 - mmengine - INFO - Epoch(train) [26][820/3757] lr: 1.0000e-02 eta: 18:16:04 time: 0.2668 data_time: 0.0207 memory: 6108 grad_norm: 5.6251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2139 loss: 2.2139 2022/07/22 20:38:41 - mmengine - INFO - Epoch(train) [26][840/3757] lr: 1.0000e-02 eta: 18:15:58 time: 0.2266 data_time: 0.0225 memory: 6108 grad_norm: 5.3820 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2787 loss: 2.2787 2022/07/22 20:38:45 - mmengine - INFO - Epoch(train) [26][860/3757] lr: 1.0000e-02 eta: 18:15:53 time: 0.2246 data_time: 0.0209 memory: 6108 grad_norm: 5.6569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1179 loss: 2.1179 2022/07/22 20:38:50 - mmengine - INFO - Epoch(train) [26][880/3757] lr: 1.0000e-02 eta: 18:15:48 time: 0.2336 data_time: 0.0264 memory: 6108 grad_norm: 5.7035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8603 loss: 1.8603 2022/07/22 20:38:55 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 1.0000e-02 eta: 18:15:44 time: 0.2430 data_time: 0.0219 memory: 6108 grad_norm: 5.5792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0027 loss: 2.0027 2022/07/22 20:39:00 - mmengine - INFO - Epoch(train) [26][920/3757] lr: 1.0000e-02 eta: 18:15:40 time: 0.2416 data_time: 0.0197 memory: 6108 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9810 loss: 1.9810 2022/07/22 20:39:04 - mmengine - INFO - Epoch(train) [26][940/3757] lr: 1.0000e-02 eta: 18:15:35 time: 0.2270 data_time: 0.0205 memory: 6108 grad_norm: 5.6331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9226 loss: 1.9226 2022/07/22 20:39:09 - mmengine - INFO - Epoch(train) [26][960/3757] lr: 1.0000e-02 eta: 18:15:30 time: 0.2258 data_time: 0.0275 memory: 6108 grad_norm: 5.6693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3027 loss: 2.3027 2022/07/22 20:39:14 - mmengine - INFO - Epoch(train) [26][980/3757] lr: 1.0000e-02 eta: 18:15:25 time: 0.2395 data_time: 0.0244 memory: 6108 grad_norm: 5.7284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1981 loss: 2.1981 2022/07/22 20:39:18 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 1.0000e-02 eta: 18:15:21 time: 0.2415 data_time: 0.0299 memory: 6108 grad_norm: 5.6776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9745 loss: 1.9745 2022/07/22 20:39:23 - mmengine - INFO - Epoch(train) [26][1020/3757] lr: 1.0000e-02 eta: 18:15:17 time: 0.2502 data_time: 0.0491 memory: 6108 grad_norm: 5.3945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0026 loss: 2.0026 2022/07/22 20:39:28 - mmengine - INFO - Epoch(train) [26][1040/3757] lr: 1.0000e-02 eta: 18:15:12 time: 0.2239 data_time: 0.0282 memory: 6108 grad_norm: 5.4646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1405 loss: 2.1405 2022/07/22 20:39:32 - mmengine - INFO - Epoch(train) [26][1060/3757] lr: 1.0000e-02 eta: 18:15:07 time: 0.2277 data_time: 0.0248 memory: 6108 grad_norm: 5.5631 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2187 loss: 2.2187 2022/07/22 20:39:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:39:37 - mmengine - INFO - Epoch(train) [26][1080/3757] lr: 1.0000e-02 eta: 18:15:03 time: 0.2378 data_time: 0.0221 memory: 6108 grad_norm: 5.4577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9947 loss: 1.9947 2022/07/22 20:39:42 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 1.0000e-02 eta: 18:14:58 time: 0.2299 data_time: 0.0215 memory: 6108 grad_norm: 5.5909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1269 loss: 2.1269 2022/07/22 20:39:47 - mmengine - INFO - Epoch(train) [26][1120/3757] lr: 1.0000e-02 eta: 18:14:53 time: 0.2381 data_time: 0.0174 memory: 6108 grad_norm: 5.4450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2980 loss: 2.2980 2022/07/22 20:39:51 - mmengine - INFO - Epoch(train) [26][1140/3757] lr: 1.0000e-02 eta: 18:14:49 time: 0.2342 data_time: 0.0189 memory: 6108 grad_norm: 5.6819 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3883 loss: 2.3883 2022/07/22 20:39:56 - mmengine - INFO - Epoch(train) [26][1160/3757] lr: 1.0000e-02 eta: 18:14:44 time: 0.2406 data_time: 0.0196 memory: 6108 grad_norm: 5.5446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0005 loss: 2.0005 2022/07/22 20:40:01 - mmengine - INFO - Epoch(train) [26][1180/3757] lr: 1.0000e-02 eta: 18:14:39 time: 0.2230 data_time: 0.0213 memory: 6108 grad_norm: 5.5689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9016 loss: 1.9016 2022/07/22 20:40:05 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 1.0000e-02 eta: 18:14:34 time: 0.2281 data_time: 0.0217 memory: 6108 grad_norm: 5.5450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7369 loss: 1.7369 2022/07/22 20:40:10 - mmengine - INFO - Epoch(train) [26][1220/3757] lr: 1.0000e-02 eta: 18:14:30 time: 0.2539 data_time: 0.0643 memory: 6108 grad_norm: 5.5605 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9131 loss: 1.9131 2022/07/22 20:40:15 - mmengine - INFO - Epoch(train) [26][1240/3757] lr: 1.0000e-02 eta: 18:14:25 time: 0.2256 data_time: 0.0172 memory: 6108 grad_norm: 5.7484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0350 loss: 2.0350 2022/07/22 20:40:20 - mmengine - INFO - Epoch(train) [26][1260/3757] lr: 1.0000e-02 eta: 18:14:21 time: 0.2388 data_time: 0.0192 memory: 6108 grad_norm: 5.7313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0435 loss: 2.0435 2022/07/22 20:40:24 - mmengine - INFO - Epoch(train) [26][1280/3757] lr: 1.0000e-02 eta: 18:14:16 time: 0.2233 data_time: 0.0226 memory: 6108 grad_norm: 5.7203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2883 loss: 2.2883 2022/07/22 20:40:28 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 1.0000e-02 eta: 18:14:10 time: 0.2223 data_time: 0.0197 memory: 6108 grad_norm: 5.5146 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9857 loss: 1.9857 2022/07/22 20:40:33 - mmengine - INFO - Epoch(train) [26][1320/3757] lr: 1.0000e-02 eta: 18:14:05 time: 0.2285 data_time: 0.0213 memory: 6108 grad_norm: 5.5089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0456 loss: 2.0456 2022/07/22 20:40:38 - mmengine - INFO - Epoch(train) [26][1340/3757] lr: 1.0000e-02 eta: 18:14:02 time: 0.2620 data_time: 0.0220 memory: 6108 grad_norm: 5.5861 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0120 loss: 2.0120 2022/07/22 20:40:43 - mmengine - INFO - Epoch(train) [26][1360/3757] lr: 1.0000e-02 eta: 18:13:57 time: 0.2199 data_time: 0.0188 memory: 6108 grad_norm: 5.6136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1049 loss: 2.1049 2022/07/22 20:40:47 - mmengine - INFO - Epoch(train) [26][1380/3757] lr: 1.0000e-02 eta: 18:13:51 time: 0.2262 data_time: 0.0243 memory: 6108 grad_norm: 5.5738 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8556 loss: 1.8556 2022/07/22 20:40:52 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 1.0000e-02 eta: 18:13:46 time: 0.2239 data_time: 0.0171 memory: 6108 grad_norm: 5.8473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1577 loss: 2.1577 2022/07/22 20:40:57 - mmengine - INFO - Epoch(train) [26][1420/3757] lr: 1.0000e-02 eta: 18:13:43 time: 0.2647 data_time: 0.0371 memory: 6108 grad_norm: 5.5847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8917 loss: 1.8917 2022/07/22 20:41:01 - mmengine - INFO - Epoch(train) [26][1440/3757] lr: 1.0000e-02 eta: 18:13:38 time: 0.2222 data_time: 0.0246 memory: 6108 grad_norm: 5.4486 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3627 loss: 2.3627 2022/07/22 20:41:06 - mmengine - INFO - Epoch(train) [26][1460/3757] lr: 1.0000e-02 eta: 18:13:33 time: 0.2284 data_time: 0.0195 memory: 6108 grad_norm: 5.6468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1253 loss: 2.1253 2022/07/22 20:41:11 - mmengine - INFO - Epoch(train) [26][1480/3757] lr: 1.0000e-02 eta: 18:13:29 time: 0.2515 data_time: 0.0175 memory: 6108 grad_norm: 5.6676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9264 loss: 1.9264 2022/07/22 20:41:16 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 1.0000e-02 eta: 18:13:25 time: 0.2476 data_time: 0.0251 memory: 6108 grad_norm: 5.6006 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0354 loss: 2.0354 2022/07/22 20:41:21 - mmengine - INFO - Epoch(train) [26][1520/3757] lr: 1.0000e-02 eta: 18:13:20 time: 0.2270 data_time: 0.0222 memory: 6108 grad_norm: 5.5751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0905 loss: 2.0905 2022/07/22 20:41:25 - mmengine - INFO - Epoch(train) [26][1540/3757] lr: 1.0000e-02 eta: 18:13:15 time: 0.2303 data_time: 0.0270 memory: 6108 grad_norm: 5.4462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9918 loss: 1.9918 2022/07/22 20:41:30 - mmengine - INFO - Epoch(train) [26][1560/3757] lr: 1.0000e-02 eta: 18:13:11 time: 0.2346 data_time: 0.0234 memory: 6108 grad_norm: 5.6239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1952 loss: 2.1952 2022/07/22 20:41:34 - mmengine - INFO - Epoch(train) [26][1580/3757] lr: 1.0000e-02 eta: 18:13:06 time: 0.2282 data_time: 0.0175 memory: 6108 grad_norm: 5.7328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1022 loss: 2.1022 2022/07/22 20:41:39 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 1.0000e-02 eta: 18:13:01 time: 0.2368 data_time: 0.0171 memory: 6108 grad_norm: 5.7351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3470 loss: 2.3470 2022/07/22 20:41:44 - mmengine - INFO - Epoch(train) [26][1620/3757] lr: 1.0000e-02 eta: 18:12:56 time: 0.2251 data_time: 0.0220 memory: 6108 grad_norm: 5.5585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8390 loss: 1.8390 2022/07/22 20:41:49 - mmengine - INFO - Epoch(train) [26][1640/3757] lr: 1.0000e-02 eta: 18:12:52 time: 0.2426 data_time: 0.0346 memory: 6108 grad_norm: 5.5363 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1407 loss: 2.1407 2022/07/22 20:41:54 - mmengine - INFO - Epoch(train) [26][1660/3757] lr: 1.0000e-02 eta: 18:12:48 time: 0.2521 data_time: 0.0538 memory: 6108 grad_norm: 5.3800 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2209 loss: 2.2209 2022/07/22 20:41:59 - mmengine - INFO - Epoch(train) [26][1680/3757] lr: 1.0000e-02 eta: 18:12:44 time: 0.2424 data_time: 0.0246 memory: 6108 grad_norm: 5.5631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2730 loss: 2.2730 2022/07/22 20:42:03 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 1.0000e-02 eta: 18:12:39 time: 0.2265 data_time: 0.0202 memory: 6108 grad_norm: 5.6572 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2801 loss: 2.2801 2022/07/22 20:42:08 - mmengine - INFO - Epoch(train) [26][1720/3757] lr: 1.0000e-02 eta: 18:12:34 time: 0.2245 data_time: 0.0181 memory: 6108 grad_norm: 5.5690 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0807 loss: 2.0807 2022/07/22 20:42:12 - mmengine - INFO - Epoch(train) [26][1740/3757] lr: 1.0000e-02 eta: 18:12:28 time: 0.2250 data_time: 0.0226 memory: 6108 grad_norm: 5.5919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1386 loss: 2.1386 2022/07/22 20:42:17 - mmengine - INFO - Epoch(train) [26][1760/3757] lr: 1.0000e-02 eta: 18:12:24 time: 0.2333 data_time: 0.0233 memory: 6108 grad_norm: 5.7474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8825 loss: 1.8825 2022/07/22 20:42:21 - mmengine - INFO - Epoch(train) [26][1780/3757] lr: 1.0000e-02 eta: 18:12:18 time: 0.2237 data_time: 0.0184 memory: 6108 grad_norm: 5.5410 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0881 loss: 2.0881 2022/07/22 20:42:26 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 1.0000e-02 eta: 18:12:14 time: 0.2376 data_time: 0.0249 memory: 6108 grad_norm: 5.6124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9827 loss: 1.9827 2022/07/22 20:42:31 - mmengine - INFO - Epoch(train) [26][1820/3757] lr: 1.0000e-02 eta: 18:12:10 time: 0.2545 data_time: 0.0215 memory: 6108 grad_norm: 5.6903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7776 loss: 1.7776 2022/07/22 20:42:36 - mmengine - INFO - Epoch(train) [26][1840/3757] lr: 1.0000e-02 eta: 18:12:05 time: 0.2288 data_time: 0.0255 memory: 6108 grad_norm: 5.4597 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8979 loss: 1.8979 2022/07/22 20:42:40 - mmengine - INFO - Epoch(train) [26][1860/3757] lr: 1.0000e-02 eta: 18:12:00 time: 0.2238 data_time: 0.0255 memory: 6108 grad_norm: 5.5957 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5073 loss: 2.5073 2022/07/22 20:42:45 - mmengine - INFO - Epoch(train) [26][1880/3757] lr: 1.0000e-02 eta: 18:11:55 time: 0.2233 data_time: 0.0187 memory: 6108 grad_norm: 5.6316 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1487 loss: 2.1487 2022/07/22 20:42:49 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 1.0000e-02 eta: 18:11:50 time: 0.2405 data_time: 0.0225 memory: 6108 grad_norm: 5.6634 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9831 loss: 1.9831 2022/07/22 20:42:54 - mmengine - INFO - Epoch(train) [26][1920/3757] lr: 1.0000e-02 eta: 18:11:46 time: 0.2359 data_time: 0.0243 memory: 6108 grad_norm: 5.5937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2977 loss: 2.2977 2022/07/22 20:42:59 - mmengine - INFO - Epoch(train) [26][1940/3757] lr: 1.0000e-02 eta: 18:11:41 time: 0.2285 data_time: 0.0166 memory: 6108 grad_norm: 5.7217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9362 loss: 1.9362 2022/07/22 20:43:03 - mmengine - INFO - Epoch(train) [26][1960/3757] lr: 1.0000e-02 eta: 18:11:36 time: 0.2254 data_time: 0.0188 memory: 6108 grad_norm: 5.8524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9338 loss: 1.9338 2022/07/22 20:43:08 - mmengine - INFO - Epoch(train) [26][1980/3757] lr: 1.0000e-02 eta: 18:11:31 time: 0.2260 data_time: 0.0294 memory: 6108 grad_norm: 5.8707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9838 loss: 1.9838 2022/07/22 20:43:12 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 1.0000e-02 eta: 18:11:26 time: 0.2306 data_time: 0.0183 memory: 6108 grad_norm: 5.8070 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1467 loss: 2.1467 2022/07/22 20:43:17 - mmengine - INFO - Epoch(train) [26][2020/3757] lr: 1.0000e-02 eta: 18:11:22 time: 0.2502 data_time: 0.0250 memory: 6108 grad_norm: 5.6236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9268 loss: 1.9268 2022/07/22 20:43:22 - mmengine - INFO - Epoch(train) [26][2040/3757] lr: 1.0000e-02 eta: 18:11:17 time: 0.2253 data_time: 0.0234 memory: 6108 grad_norm: 5.5166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1006 loss: 2.1006 2022/07/22 20:43:27 - mmengine - INFO - Epoch(train) [26][2060/3757] lr: 1.0000e-02 eta: 18:11:13 time: 0.2424 data_time: 0.0194 memory: 6108 grad_norm: 5.4267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3157 loss: 2.3157 2022/07/22 20:43:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:43:32 - mmengine - INFO - Epoch(train) [26][2080/3757] lr: 1.0000e-02 eta: 18:11:08 time: 0.2322 data_time: 0.0213 memory: 6108 grad_norm: 5.5828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1307 loss: 2.1307 2022/07/22 20:43:36 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 1.0000e-02 eta: 18:11:04 time: 0.2492 data_time: 0.0217 memory: 6108 grad_norm: 5.6625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8833 loss: 1.8833 2022/07/22 20:43:41 - mmengine - INFO - Epoch(train) [26][2120/3757] lr: 1.0000e-02 eta: 18:10:59 time: 0.2220 data_time: 0.0252 memory: 6108 grad_norm: 5.5718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8787 loss: 1.8787 2022/07/22 20:43:46 - mmengine - INFO - Epoch(train) [26][2140/3757] lr: 1.0000e-02 eta: 18:10:54 time: 0.2379 data_time: 0.0163 memory: 6108 grad_norm: 5.6882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/07/22 20:43:50 - mmengine - INFO - Epoch(train) [26][2160/3757] lr: 1.0000e-02 eta: 18:10:49 time: 0.2239 data_time: 0.0221 memory: 6108 grad_norm: 5.5642 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2300 loss: 2.2300 2022/07/22 20:43:55 - mmengine - INFO - Epoch(train) [26][2180/3757] lr: 1.0000e-02 eta: 18:10:44 time: 0.2369 data_time: 0.0177 memory: 6108 grad_norm: 5.4334 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9217 loss: 1.9217 2022/07/22 20:44:00 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 1.0000e-02 eta: 18:10:40 time: 0.2352 data_time: 0.0215 memory: 6108 grad_norm: 5.6754 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9583 loss: 1.9583 2022/07/22 20:44:04 - mmengine - INFO - Epoch(train) [26][2220/3757] lr: 1.0000e-02 eta: 18:10:35 time: 0.2385 data_time: 0.0270 memory: 6108 grad_norm: 5.5658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0739 loss: 2.0739 2022/07/22 20:44:09 - mmengine - INFO - Epoch(train) [26][2240/3757] lr: 1.0000e-02 eta: 18:10:31 time: 0.2391 data_time: 0.0211 memory: 6108 grad_norm: 5.4255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8441 loss: 1.8441 2022/07/22 20:44:14 - mmengine - INFO - Epoch(train) [26][2260/3757] lr: 1.0000e-02 eta: 18:10:26 time: 0.2270 data_time: 0.0196 memory: 6108 grad_norm: 5.4812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0550 loss: 2.0550 2022/07/22 20:44:19 - mmengine - INFO - Epoch(train) [26][2280/3757] lr: 1.0000e-02 eta: 18:10:21 time: 0.2380 data_time: 0.0244 memory: 6108 grad_norm: 5.4879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0545 loss: 2.0545 2022/07/22 20:44:23 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 1.0000e-02 eta: 18:10:16 time: 0.2240 data_time: 0.0212 memory: 6108 grad_norm: 5.5811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2419 loss: 2.2419 2022/07/22 20:44:28 - mmengine - INFO - Epoch(train) [26][2320/3757] lr: 1.0000e-02 eta: 18:10:11 time: 0.2249 data_time: 0.0254 memory: 6108 grad_norm: 5.7145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9532 loss: 1.9532 2022/07/22 20:44:32 - mmengine - INFO - Epoch(train) [26][2340/3757] lr: 1.0000e-02 eta: 18:10:06 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 5.5218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0361 loss: 2.0361 2022/07/22 20:44:37 - mmengine - INFO - Epoch(train) [26][2360/3757] lr: 1.0000e-02 eta: 18:10:02 time: 0.2533 data_time: 0.0215 memory: 6108 grad_norm: 5.4518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2587 loss: 2.2587 2022/07/22 20:44:42 - mmengine - INFO - Epoch(train) [26][2380/3757] lr: 1.0000e-02 eta: 18:09:58 time: 0.2328 data_time: 0.0192 memory: 6108 grad_norm: 5.5661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9986 loss: 1.9986 2022/07/22 20:44:46 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 1.0000e-02 eta: 18:09:53 time: 0.2271 data_time: 0.0257 memory: 6108 grad_norm: 5.5949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8769 loss: 1.8769 2022/07/22 20:44:51 - mmengine - INFO - Epoch(train) [26][2420/3757] lr: 1.0000e-02 eta: 18:09:47 time: 0.2227 data_time: 0.0229 memory: 6108 grad_norm: 5.7070 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1926 loss: 2.1926 2022/07/22 20:44:56 - mmengine - INFO - Epoch(train) [26][2440/3757] lr: 1.0000e-02 eta: 18:09:43 time: 0.2500 data_time: 0.0303 memory: 6108 grad_norm: 5.6544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1060 loss: 2.1060 2022/07/22 20:45:01 - mmengine - INFO - Epoch(train) [26][2460/3757] lr: 1.0000e-02 eta: 18:09:39 time: 0.2405 data_time: 0.0218 memory: 6108 grad_norm: 5.8656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9994 loss: 1.9994 2022/07/22 20:45:06 - mmengine - INFO - Epoch(train) [26][2480/3757] lr: 1.0000e-02 eta: 18:09:35 time: 0.2381 data_time: 0.0178 memory: 6108 grad_norm: 5.6003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1947 loss: 2.1947 2022/07/22 20:45:10 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 1.0000e-02 eta: 18:09:29 time: 0.2241 data_time: 0.0195 memory: 6108 grad_norm: 5.5384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8044 loss: 1.8044 2022/07/22 20:45:15 - mmengine - INFO - Epoch(train) [26][2520/3757] lr: 1.0000e-02 eta: 18:09:24 time: 0.2245 data_time: 0.0218 memory: 6108 grad_norm: 5.4682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3102 loss: 2.3102 2022/07/22 20:45:19 - mmengine - INFO - Epoch(train) [26][2540/3757] lr: 1.0000e-02 eta: 18:09:20 time: 0.2416 data_time: 0.0168 memory: 6108 grad_norm: 5.5665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/07/22 20:45:24 - mmengine - INFO - Epoch(train) [26][2560/3757] lr: 1.0000e-02 eta: 18:09:15 time: 0.2297 data_time: 0.0222 memory: 6108 grad_norm: 5.5113 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4975 loss: 2.4975 2022/07/22 20:45:28 - mmengine - INFO - Epoch(train) [26][2580/3757] lr: 1.0000e-02 eta: 18:09:10 time: 0.2238 data_time: 0.0255 memory: 6108 grad_norm: 5.5738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2426 loss: 2.2426 2022/07/22 20:45:33 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 1.0000e-02 eta: 18:09:05 time: 0.2374 data_time: 0.0263 memory: 6108 grad_norm: 5.6204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1524 loss: 2.1524 2022/07/22 20:45:38 - mmengine - INFO - Epoch(train) [26][2620/3757] lr: 1.0000e-02 eta: 18:09:01 time: 0.2396 data_time: 0.0256 memory: 6108 grad_norm: 5.4993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8047 loss: 1.8047 2022/07/22 20:45:43 - mmengine - INFO - Epoch(train) [26][2640/3757] lr: 1.0000e-02 eta: 18:08:56 time: 0.2315 data_time: 0.0261 memory: 6108 grad_norm: 5.6201 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0909 loss: 2.0909 2022/07/22 20:45:47 - mmengine - INFO - Epoch(train) [26][2660/3757] lr: 1.0000e-02 eta: 18:08:51 time: 0.2270 data_time: 0.0215 memory: 6108 grad_norm: 5.5782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2673 loss: 2.2673 2022/07/22 20:45:52 - mmengine - INFO - Epoch(train) [26][2680/3757] lr: 1.0000e-02 eta: 18:08:46 time: 0.2264 data_time: 0.0194 memory: 6108 grad_norm: 5.7109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0270 loss: 2.0270 2022/07/22 20:45:57 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 1.0000e-02 eta: 18:08:43 time: 0.2598 data_time: 0.0258 memory: 6108 grad_norm: 5.5422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9895 loss: 1.9895 2022/07/22 20:46:01 - mmengine - INFO - Epoch(train) [26][2720/3757] lr: 1.0000e-02 eta: 18:08:37 time: 0.2235 data_time: 0.0206 memory: 6108 grad_norm: 5.6064 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0314 loss: 2.0314 2022/07/22 20:46:06 - mmengine - INFO - Epoch(train) [26][2740/3757] lr: 1.0000e-02 eta: 18:08:33 time: 0.2319 data_time: 0.0187 memory: 6108 grad_norm: 5.6936 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3732 loss: 2.3732 2022/07/22 20:46:11 - mmengine - INFO - Epoch(train) [26][2760/3757] lr: 1.0000e-02 eta: 18:08:27 time: 0.2262 data_time: 0.0246 memory: 6108 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/07/22 20:46:16 - mmengine - INFO - Epoch(train) [26][2780/3757] lr: 1.0000e-02 eta: 18:08:25 time: 0.2658 data_time: 0.0199 memory: 6108 grad_norm: 5.5222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/07/22 20:46:20 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 1.0000e-02 eta: 18:08:19 time: 0.2210 data_time: 0.0196 memory: 6108 grad_norm: 5.7211 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3370 loss: 2.3370 2022/07/22 20:46:25 - mmengine - INFO - Epoch(train) [26][2820/3757] lr: 1.0000e-02 eta: 18:08:14 time: 0.2273 data_time: 0.0239 memory: 6108 grad_norm: 5.3754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8745 loss: 1.8745 2022/07/22 20:46:30 - mmengine - INFO - Epoch(train) [26][2840/3757] lr: 1.0000e-02 eta: 18:08:09 time: 0.2324 data_time: 0.0186 memory: 6108 grad_norm: 5.4829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0670 loss: 2.0670 2022/07/22 20:46:34 - mmengine - INFO - Epoch(train) [26][2860/3757] lr: 1.0000e-02 eta: 18:08:04 time: 0.2254 data_time: 0.0182 memory: 6108 grad_norm: 5.7546 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0765 loss: 2.0765 2022/07/22 20:46:39 - mmengine - INFO - Epoch(train) [26][2880/3757] lr: 1.0000e-02 eta: 18:08:00 time: 0.2440 data_time: 0.0256 memory: 6108 grad_norm: 5.6437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3449 loss: 2.3449 2022/07/22 20:46:44 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 1.0000e-02 eta: 18:07:55 time: 0.2250 data_time: 0.0211 memory: 6108 grad_norm: 5.5397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1601 loss: 2.1601 2022/07/22 20:46:48 - mmengine - INFO - Epoch(train) [26][2920/3757] lr: 1.0000e-02 eta: 18:07:50 time: 0.2311 data_time: 0.0182 memory: 6108 grad_norm: 5.9185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2683 loss: 2.2683 2022/07/22 20:46:53 - mmengine - INFO - Epoch(train) [26][2940/3757] lr: 1.0000e-02 eta: 18:07:46 time: 0.2424 data_time: 0.0221 memory: 6108 grad_norm: 5.7619 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2388 loss: 2.2388 2022/07/22 20:46:58 - mmengine - INFO - Epoch(train) [26][2960/3757] lr: 1.0000e-02 eta: 18:07:41 time: 0.2409 data_time: 0.0180 memory: 6108 grad_norm: 5.7424 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0134 loss: 2.0134 2022/07/22 20:47:02 - mmengine - INFO - Epoch(train) [26][2980/3757] lr: 1.0000e-02 eta: 18:07:37 time: 0.2320 data_time: 0.0183 memory: 6108 grad_norm: 5.5880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3775 loss: 2.3775 2022/07/22 20:47:07 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 1.0000e-02 eta: 18:07:31 time: 0.2261 data_time: 0.0195 memory: 6108 grad_norm: 5.5693 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1382 loss: 2.1382 2022/07/22 20:47:12 - mmengine - INFO - Epoch(train) [26][3020/3757] lr: 1.0000e-02 eta: 18:07:26 time: 0.2243 data_time: 0.0228 memory: 6108 grad_norm: 5.6165 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8162 loss: 1.8162 2022/07/22 20:47:17 - mmengine - INFO - Epoch(train) [26][3040/3757] lr: 1.0000e-02 eta: 18:07:25 time: 0.2901 data_time: 0.0195 memory: 6108 grad_norm: 5.5642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0037 loss: 2.0037 2022/07/22 20:47:22 - mmengine - INFO - Epoch(train) [26][3060/3757] lr: 1.0000e-02 eta: 18:07:19 time: 0.2226 data_time: 0.0197 memory: 6108 grad_norm: 5.6218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1470 loss: 2.1470 2022/07/22 20:47:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:47:26 - mmengine - INFO - Epoch(train) [26][3080/3757] lr: 1.0000e-02 eta: 18:07:15 time: 0.2307 data_time: 0.0200 memory: 6108 grad_norm: 5.4845 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0574 loss: 2.0574 2022/07/22 20:47:31 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 1.0000e-02 eta: 18:07:09 time: 0.2220 data_time: 0.0212 memory: 6108 grad_norm: 5.6265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1789 loss: 2.1789 2022/07/22 20:47:35 - mmengine - INFO - Epoch(train) [26][3120/3757] lr: 1.0000e-02 eta: 18:07:04 time: 0.2258 data_time: 0.0201 memory: 6108 grad_norm: 5.4721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/07/22 20:47:40 - mmengine - INFO - Epoch(train) [26][3140/3757] lr: 1.0000e-02 eta: 18:07:00 time: 0.2405 data_time: 0.0220 memory: 6108 grad_norm: 5.5285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0811 loss: 2.0811 2022/07/22 20:47:45 - mmengine - INFO - Epoch(train) [26][3160/3757] lr: 1.0000e-02 eta: 18:06:55 time: 0.2246 data_time: 0.0215 memory: 6108 grad_norm: 5.7317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2249 loss: 2.2249 2022/07/22 20:47:50 - mmengine - INFO - Epoch(train) [26][3180/3757] lr: 1.0000e-02 eta: 18:06:52 time: 0.2757 data_time: 0.0181 memory: 6108 grad_norm: 5.6390 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2240 loss: 2.2240 2022/07/22 20:47:55 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 1.0000e-02 eta: 18:06:47 time: 0.2247 data_time: 0.0190 memory: 6108 grad_norm: 5.4173 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9946 loss: 1.9946 2022/07/22 20:48:00 - mmengine - INFO - Epoch(train) [26][3220/3757] lr: 1.0000e-02 eta: 18:06:43 time: 0.2430 data_time: 0.0235 memory: 6108 grad_norm: 5.4665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7299 loss: 1.7299 2022/07/22 20:48:04 - mmengine - INFO - Epoch(train) [26][3240/3757] lr: 1.0000e-02 eta: 18:06:38 time: 0.2251 data_time: 0.0236 memory: 6108 grad_norm: 5.6183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1361 loss: 2.1361 2022/07/22 20:48:09 - mmengine - INFO - Epoch(train) [26][3260/3757] lr: 1.0000e-02 eta: 18:06:32 time: 0.2227 data_time: 0.0224 memory: 6108 grad_norm: 5.5928 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9604 loss: 1.9604 2022/07/22 20:48:14 - mmengine - INFO - Epoch(train) [26][3280/3757] lr: 1.0000e-02 eta: 18:06:29 time: 0.2632 data_time: 0.0188 memory: 6108 grad_norm: 5.5754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2238 loss: 2.2238 2022/07/22 20:48:19 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 1.0000e-02 eta: 18:06:25 time: 0.2337 data_time: 0.0247 memory: 6108 grad_norm: 5.4070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2859 loss: 2.2859 2022/07/22 20:48:23 - mmengine - INFO - Epoch(train) [26][3320/3757] lr: 1.0000e-02 eta: 18:06:19 time: 0.2225 data_time: 0.0266 memory: 6108 grad_norm: 5.4178 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8628 loss: 1.8628 2022/07/22 20:48:28 - mmengine - INFO - Epoch(train) [26][3340/3757] lr: 1.0000e-02 eta: 18:06:14 time: 0.2278 data_time: 0.0230 memory: 6108 grad_norm: 5.6181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2130 loss: 2.2130 2022/07/22 20:48:32 - mmengine - INFO - Epoch(train) [26][3360/3757] lr: 1.0000e-02 eta: 18:06:09 time: 0.2242 data_time: 0.0210 memory: 6108 grad_norm: 5.6181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9381 loss: 1.9381 2022/07/22 20:48:37 - mmengine - INFO - Epoch(train) [26][3380/3757] lr: 1.0000e-02 eta: 18:06:04 time: 0.2334 data_time: 0.0201 memory: 6108 grad_norm: 5.6273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/07/22 20:48:41 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 1.0000e-02 eta: 18:06:00 time: 0.2342 data_time: 0.0222 memory: 6108 grad_norm: 5.4998 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3135 loss: 2.3135 2022/07/22 20:48:46 - mmengine - INFO - Epoch(train) [26][3420/3757] lr: 1.0000e-02 eta: 18:05:55 time: 0.2310 data_time: 0.0223 memory: 6108 grad_norm: 5.4957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0797 loss: 2.0797 2022/07/22 20:48:51 - mmengine - INFO - Epoch(train) [26][3440/3757] lr: 1.0000e-02 eta: 18:05:50 time: 0.2298 data_time: 0.0243 memory: 6108 grad_norm: 5.5051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7338 loss: 1.7338 2022/07/22 20:48:55 - mmengine - INFO - Epoch(train) [26][3460/3757] lr: 1.0000e-02 eta: 18:05:45 time: 0.2340 data_time: 0.0220 memory: 6108 grad_norm: 5.6322 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1129 loss: 2.1129 2022/07/22 20:49:00 - mmengine - INFO - Epoch(train) [26][3480/3757] lr: 1.0000e-02 eta: 18:05:41 time: 0.2458 data_time: 0.0209 memory: 6108 grad_norm: 5.5333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1350 loss: 2.1350 2022/07/22 20:49:05 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 1.0000e-02 eta: 18:05:36 time: 0.2279 data_time: 0.0264 memory: 6108 grad_norm: 5.3576 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9088 loss: 1.9088 2022/07/22 20:49:09 - mmengine - INFO - Epoch(train) [26][3520/3757] lr: 1.0000e-02 eta: 18:05:31 time: 0.2251 data_time: 0.0193 memory: 6108 grad_norm: 5.7117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2912 loss: 2.2912 2022/07/22 20:49:14 - mmengine - INFO - Epoch(train) [26][3540/3757] lr: 1.0000e-02 eta: 18:05:27 time: 0.2411 data_time: 0.0243 memory: 6108 grad_norm: 5.7685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2611 loss: 2.2611 2022/07/22 20:49:19 - mmengine - INFO - Epoch(train) [26][3560/3757] lr: 1.0000e-02 eta: 18:05:23 time: 0.2462 data_time: 0.0234 memory: 6108 grad_norm: 5.5257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/07/22 20:49:24 - mmengine - INFO - Epoch(train) [26][3580/3757] lr: 1.0000e-02 eta: 18:05:18 time: 0.2271 data_time: 0.0202 memory: 6108 grad_norm: 5.5517 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2707 loss: 2.2707 2022/07/22 20:49:28 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 1.0000e-02 eta: 18:05:13 time: 0.2348 data_time: 0.0257 memory: 6108 grad_norm: 5.4764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0380 loss: 2.0380 2022/07/22 20:49:33 - mmengine - INFO - Epoch(train) [26][3620/3757] lr: 1.0000e-02 eta: 18:05:09 time: 0.2431 data_time: 0.0252 memory: 6108 grad_norm: 5.7218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9338 loss: 1.9338 2022/07/22 20:49:38 - mmengine - INFO - Epoch(train) [26][3640/3757] lr: 1.0000e-02 eta: 18:05:04 time: 0.2415 data_time: 0.0201 memory: 6108 grad_norm: 5.8384 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.1122 loss: 2.1122 2022/07/22 20:49:43 - mmengine - INFO - Epoch(train) [26][3660/3757] lr: 1.0000e-02 eta: 18:04:59 time: 0.2240 data_time: 0.0286 memory: 6108 grad_norm: 5.8043 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1045 loss: 2.1045 2022/07/22 20:49:47 - mmengine - INFO - Epoch(train) [26][3680/3757] lr: 1.0000e-02 eta: 18:04:54 time: 0.2290 data_time: 0.0226 memory: 6108 grad_norm: 5.4271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7492 loss: 1.7492 2022/07/22 20:49:52 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 1.0000e-02 eta: 18:04:49 time: 0.2254 data_time: 0.0219 memory: 6108 grad_norm: 5.7206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/07/22 20:49:56 - mmengine - INFO - Epoch(train) [26][3720/3757] lr: 1.0000e-02 eta: 18:04:44 time: 0.2357 data_time: 0.0239 memory: 6108 grad_norm: 5.5529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0958 loss: 2.0958 2022/07/22 20:50:01 - mmengine - INFO - Epoch(train) [26][3740/3757] lr: 1.0000e-02 eta: 18:04:39 time: 0.2254 data_time: 0.0218 memory: 6108 grad_norm: 5.3622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9314 loss: 1.9314 2022/07/22 20:50:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:50:04 - mmengine - INFO - Epoch(train) [26][3757/3757] lr: 1.0000e-02 eta: 18:04:39 time: 0.1949 data_time: 0.0188 memory: 6108 grad_norm: 5.5879 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1616 loss: 2.1616 2022/07/22 20:50:10 - mmengine - INFO - Epoch(val) [26][20/310] eta: 0:01:18 time: 0.2712 data_time: 0.1927 memory: 1428 2022/07/22 20:50:13 - mmengine - INFO - Epoch(val) [26][40/310] eta: 0:00:49 time: 0.1828 data_time: 0.1058 memory: 1428 2022/07/22 20:50:18 - mmengine - INFO - Epoch(val) [26][60/310] eta: 0:00:53 time: 0.2150 data_time: 0.1178 memory: 1428 2022/07/22 20:50:22 - mmengine - INFO - Epoch(val) [26][80/310] eta: 0:00:52 time: 0.2262 data_time: 0.1489 memory: 1428 2022/07/22 20:50:26 - mmengine - INFO - Epoch(val) [26][100/310] eta: 0:00:40 time: 0.1952 data_time: 0.1208 memory: 1428 2022/07/22 20:50:31 - mmengine - INFO - Epoch(val) [26][120/310] eta: 0:00:47 time: 0.2494 data_time: 0.1750 memory: 1428 2022/07/22 20:50:35 - mmengine - INFO - Epoch(val) [26][140/310] eta: 0:00:35 time: 0.2093 data_time: 0.1365 memory: 1428 2022/07/22 20:50:40 - mmengine - INFO - Epoch(val) [26][160/310] eta: 0:00:37 time: 0.2497 data_time: 0.1734 memory: 1428 2022/07/22 20:50:44 - mmengine - INFO - Epoch(val) [26][180/310] eta: 0:00:25 time: 0.1972 data_time: 0.1204 memory: 1428 2022/07/22 20:50:49 - mmengine - INFO - Epoch(val) [26][200/310] eta: 0:00:24 time: 0.2264 data_time: 0.1512 memory: 1428 2022/07/22 20:50:53 - mmengine - INFO - Epoch(val) [26][220/310] eta: 0:00:17 time: 0.1947 data_time: 0.1207 memory: 1428 2022/07/22 20:50:57 - mmengine - INFO - Epoch(val) [26][240/310] eta: 0:00:15 time: 0.2219 data_time: 0.1304 memory: 1428 2022/07/22 20:51:02 - mmengine - INFO - Epoch(val) [26][260/310] eta: 0:00:11 time: 0.2232 data_time: 0.1448 memory: 1428 2022/07/22 20:51:05 - mmengine - INFO - Epoch(val) [26][280/310] eta: 0:00:05 time: 0.1861 data_time: 0.1094 memory: 1428 2022/07/22 20:51:09 - mmengine - INFO - Epoch(val) [26][300/310] eta: 0:00:01 time: 0.1960 data_time: 0.1250 memory: 1428 2022/07/22 20:51:13 - mmengine - INFO - Epoch(val) [26][310/310] acc/top1: 0.5548 acc/top5: 0.7977 acc/mean1: 0.5547 2022/07/22 20:51:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_24.pth is removed 2022/07/22 20:51:16 - mmengine - INFO - The best checkpoint with 0.5548 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/07/22 20:51:22 - mmengine - INFO - Epoch(train) [27][20/3757] lr: 1.0000e-02 eta: 18:04:22 time: 0.2887 data_time: 0.1010 memory: 6108 grad_norm: 5.5834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1201 loss: 2.1201 2022/07/22 20:51:27 - mmengine - INFO - Epoch(train) [27][40/3757] lr: 1.0000e-02 eta: 18:04:17 time: 0.2287 data_time: 0.0176 memory: 6108 grad_norm: 5.5135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9980 loss: 1.9980 2022/07/22 20:51:31 - mmengine - INFO - Epoch(train) [27][60/3757] lr: 1.0000e-02 eta: 18:04:12 time: 0.2249 data_time: 0.0274 memory: 6108 grad_norm: 5.7536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3493 loss: 2.3493 2022/07/22 20:51:36 - mmengine - INFO - Epoch(train) [27][80/3757] lr: 1.0000e-02 eta: 18:04:07 time: 0.2326 data_time: 0.0274 memory: 6108 grad_norm: 5.7654 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1284 loss: 2.1284 2022/07/22 20:51:40 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 1.0000e-02 eta: 18:04:02 time: 0.2265 data_time: 0.0221 memory: 6108 grad_norm: 5.7360 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0728 loss: 2.0728 2022/07/22 20:51:45 - mmengine - INFO - Epoch(train) [27][120/3757] lr: 1.0000e-02 eta: 18:03:57 time: 0.2270 data_time: 0.0248 memory: 6108 grad_norm: 5.6090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7699 loss: 1.7699 2022/07/22 20:51:50 - mmengine - INFO - Epoch(train) [27][140/3757] lr: 1.0000e-02 eta: 18:03:53 time: 0.2479 data_time: 0.0232 memory: 6108 grad_norm: 5.6681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9495 loss: 1.9495 2022/07/22 20:51:54 - mmengine - INFO - Epoch(train) [27][160/3757] lr: 1.0000e-02 eta: 18:03:48 time: 0.2209 data_time: 0.0183 memory: 6108 grad_norm: 5.6009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9601 loss: 1.9601 2022/07/22 20:51:59 - mmengine - INFO - Epoch(train) [27][180/3757] lr: 1.0000e-02 eta: 18:03:43 time: 0.2318 data_time: 0.0312 memory: 6108 grad_norm: 5.8095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/07/22 20:52:03 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 1.0000e-02 eta: 18:03:38 time: 0.2250 data_time: 0.0189 memory: 6108 grad_norm: 5.4845 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0015 loss: 2.0015 2022/07/22 20:52:08 - mmengine - INFO - Epoch(train) [27][220/3757] lr: 1.0000e-02 eta: 18:03:33 time: 0.2342 data_time: 0.0187 memory: 6108 grad_norm: 5.6008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0108 loss: 2.0108 2022/07/22 20:52:13 - mmengine - INFO - Epoch(train) [27][240/3757] lr: 1.0000e-02 eta: 18:03:29 time: 0.2493 data_time: 0.0195 memory: 6108 grad_norm: 5.8368 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2327 loss: 2.2327 2022/07/22 20:52:18 - mmengine - INFO - Epoch(train) [27][260/3757] lr: 1.0000e-02 eta: 18:03:25 time: 0.2439 data_time: 0.0249 memory: 6108 grad_norm: 5.5241 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0500 loss: 2.0500 2022/07/22 20:52:23 - mmengine - INFO - Epoch(train) [27][280/3757] lr: 1.0000e-02 eta: 18:03:21 time: 0.2486 data_time: 0.0243 memory: 6108 grad_norm: 5.6235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3177 loss: 2.3177 2022/07/22 20:52:28 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 1.0000e-02 eta: 18:03:17 time: 0.2340 data_time: 0.0189 memory: 6108 grad_norm: 5.6536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9538 loss: 1.9538 2022/07/22 20:52:32 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:52:32 - mmengine - INFO - Epoch(train) [27][320/3757] lr: 1.0000e-02 eta: 18:03:12 time: 0.2238 data_time: 0.0196 memory: 6108 grad_norm: 5.4865 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8671 loss: 1.8671 2022/07/22 20:52:37 - mmengine - INFO - Epoch(train) [27][340/3757] lr: 1.0000e-02 eta: 18:03:07 time: 0.2349 data_time: 0.0201 memory: 6108 grad_norm: 5.4890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9711 loss: 1.9711 2022/07/22 20:52:41 - mmengine - INFO - Epoch(train) [27][360/3757] lr: 1.0000e-02 eta: 18:03:01 time: 0.2199 data_time: 0.0217 memory: 6108 grad_norm: 5.7277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0897 loss: 2.0897 2022/07/22 20:52:46 - mmengine - INFO - Epoch(train) [27][380/3757] lr: 1.0000e-02 eta: 18:02:58 time: 0.2534 data_time: 0.0183 memory: 6108 grad_norm: 5.5434 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1002 loss: 2.1002 2022/07/22 20:52:51 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 1.0000e-02 eta: 18:02:53 time: 0.2244 data_time: 0.0196 memory: 6108 grad_norm: 5.6615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0192 loss: 2.0192 2022/07/22 20:52:55 - mmengine - INFO - Epoch(train) [27][420/3757] lr: 1.0000e-02 eta: 18:02:47 time: 0.2263 data_time: 0.0282 memory: 6108 grad_norm: 5.5840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7031 loss: 1.7031 2022/07/22 20:53:00 - mmengine - INFO - Epoch(train) [27][440/3757] lr: 1.0000e-02 eta: 18:02:43 time: 0.2366 data_time: 0.0278 memory: 6108 grad_norm: 5.4438 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1153 loss: 2.1153 2022/07/22 20:53:05 - mmengine - INFO - Epoch(train) [27][460/3757] lr: 1.0000e-02 eta: 18:02:38 time: 0.2350 data_time: 0.0234 memory: 6108 grad_norm: 5.6707 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2014 loss: 2.2014 2022/07/22 20:53:10 - mmengine - INFO - Epoch(train) [27][480/3757] lr: 1.0000e-02 eta: 18:02:34 time: 0.2378 data_time: 0.0231 memory: 6108 grad_norm: 5.6748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0098 loss: 2.0098 2022/07/22 20:53:14 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 1.0000e-02 eta: 18:02:29 time: 0.2274 data_time: 0.0241 memory: 6108 grad_norm: 5.7701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9290 loss: 1.9290 2022/07/22 20:53:19 - mmengine - INFO - Epoch(train) [27][520/3757] lr: 1.0000e-02 eta: 18:02:24 time: 0.2294 data_time: 0.0166 memory: 6108 grad_norm: 5.7231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2281 loss: 2.2281 2022/07/22 20:53:23 - mmengine - INFO - Epoch(train) [27][540/3757] lr: 1.0000e-02 eta: 18:02:19 time: 0.2298 data_time: 0.0242 memory: 6108 grad_norm: 5.4939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2554 loss: 2.2554 2022/07/22 20:53:28 - mmengine - INFO - Epoch(train) [27][560/3757] lr: 1.0000e-02 eta: 18:02:14 time: 0.2350 data_time: 0.0211 memory: 6108 grad_norm: 5.4506 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0806 loss: 2.0806 2022/07/22 20:53:33 - mmengine - INFO - Epoch(train) [27][580/3757] lr: 1.0000e-02 eta: 18:02:10 time: 0.2325 data_time: 0.0302 memory: 6108 grad_norm: 5.8629 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1056 loss: 2.1056 2022/07/22 20:53:37 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 1.0000e-02 eta: 18:02:05 time: 0.2309 data_time: 0.0239 memory: 6108 grad_norm: 5.7160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9752 loss: 1.9752 2022/07/22 20:53:42 - mmengine - INFO - Epoch(train) [27][620/3757] lr: 1.0000e-02 eta: 18:01:59 time: 0.2218 data_time: 0.0221 memory: 6108 grad_norm: 5.5018 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1262 loss: 2.1262 2022/07/22 20:53:47 - mmengine - INFO - Epoch(train) [27][640/3757] lr: 1.0000e-02 eta: 18:01:56 time: 0.2593 data_time: 0.0168 memory: 6108 grad_norm: 5.6540 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1371 loss: 2.1371 2022/07/22 20:53:52 - mmengine - INFO - Epoch(train) [27][660/3757] lr: 1.0000e-02 eta: 18:01:52 time: 0.2421 data_time: 0.0189 memory: 6108 grad_norm: 5.5369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1254 loss: 2.1254 2022/07/22 20:53:57 - mmengine - INFO - Epoch(train) [27][680/3757] lr: 1.0000e-02 eta: 18:01:47 time: 0.2312 data_time: 0.0173 memory: 6108 grad_norm: 5.5697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0453 loss: 2.0453 2022/07/22 20:54:01 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 1.0000e-02 eta: 18:01:42 time: 0.2261 data_time: 0.0166 memory: 6108 grad_norm: 5.6458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2468 loss: 2.2468 2022/07/22 20:54:06 - mmengine - INFO - Epoch(train) [27][720/3757] lr: 1.0000e-02 eta: 18:01:37 time: 0.2262 data_time: 0.0270 memory: 6108 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0263 loss: 2.0263 2022/07/22 20:54:11 - mmengine - INFO - Epoch(train) [27][740/3757] lr: 1.0000e-02 eta: 18:01:33 time: 0.2519 data_time: 0.0205 memory: 6108 grad_norm: 5.5010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1041 loss: 2.1041 2022/07/22 20:54:15 - mmengine - INFO - Epoch(train) [27][760/3757] lr: 1.0000e-02 eta: 18:01:28 time: 0.2292 data_time: 0.0198 memory: 6108 grad_norm: 5.6834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4702 loss: 2.4702 2022/07/22 20:54:20 - mmengine - INFO - Epoch(train) [27][780/3757] lr: 1.0000e-02 eta: 18:01:23 time: 0.2339 data_time: 0.0218 memory: 6108 grad_norm: 5.6593 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2590 loss: 2.2590 2022/07/22 20:54:24 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 1.0000e-02 eta: 18:01:18 time: 0.2248 data_time: 0.0207 memory: 6108 grad_norm: 5.5916 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1683 loss: 2.1683 2022/07/22 20:54:29 - mmengine - INFO - Epoch(train) [27][820/3757] lr: 1.0000e-02 eta: 18:01:14 time: 0.2332 data_time: 0.0200 memory: 6108 grad_norm: 5.6386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8780 loss: 1.8780 2022/07/22 20:54:34 - mmengine - INFO - Epoch(train) [27][840/3757] lr: 1.0000e-02 eta: 18:01:09 time: 0.2329 data_time: 0.0321 memory: 6108 grad_norm: 5.8038 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0412 loss: 2.0412 2022/07/22 20:54:39 - mmengine - INFO - Epoch(train) [27][860/3757] lr: 1.0000e-02 eta: 18:01:05 time: 0.2437 data_time: 0.0412 memory: 6108 grad_norm: 5.6332 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2453 loss: 2.2453 2022/07/22 20:54:43 - mmengine - INFO - Epoch(train) [27][880/3757] lr: 1.0000e-02 eta: 18:00:59 time: 0.2250 data_time: 0.0165 memory: 6108 grad_norm: 5.7323 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9674 loss: 1.9674 2022/07/22 20:54:48 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 1.0000e-02 eta: 18:00:55 time: 0.2440 data_time: 0.0258 memory: 6108 grad_norm: 5.4422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3942 loss: 2.3942 2022/07/22 20:54:53 - mmengine - INFO - Epoch(train) [27][920/3757] lr: 1.0000e-02 eta: 18:00:50 time: 0.2255 data_time: 0.0179 memory: 6108 grad_norm: 5.5852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8565 loss: 1.8565 2022/07/22 20:54:57 - mmengine - INFO - Epoch(train) [27][940/3757] lr: 1.0000e-02 eta: 18:00:45 time: 0.2333 data_time: 0.0229 memory: 6108 grad_norm: 5.6009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/07/22 20:55:02 - mmengine - INFO - Epoch(train) [27][960/3757] lr: 1.0000e-02 eta: 18:00:40 time: 0.2257 data_time: 0.0200 memory: 6108 grad_norm: 5.5617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0976 loss: 2.0976 2022/07/22 20:55:07 - mmengine - INFO - Epoch(train) [27][980/3757] lr: 1.0000e-02 eta: 18:00:36 time: 0.2498 data_time: 0.0205 memory: 6108 grad_norm: 5.7656 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3280 loss: 2.3280 2022/07/22 20:55:11 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 1.0000e-02 eta: 18:00:31 time: 0.2242 data_time: 0.0194 memory: 6108 grad_norm: 5.6424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9990 loss: 1.9990 2022/07/22 20:55:16 - mmengine - INFO - Epoch(train) [27][1020/3757] lr: 1.0000e-02 eta: 18:00:26 time: 0.2294 data_time: 0.0248 memory: 6108 grad_norm: 5.5401 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0609 loss: 2.0609 2022/07/22 20:55:21 - mmengine - INFO - Epoch(train) [27][1040/3757] lr: 1.0000e-02 eta: 18:00:22 time: 0.2348 data_time: 0.0233 memory: 6108 grad_norm: 5.7335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9281 loss: 1.9281 2022/07/22 20:55:25 - mmengine - INFO - Epoch(train) [27][1060/3757] lr: 1.0000e-02 eta: 18:00:17 time: 0.2346 data_time: 0.0165 memory: 6108 grad_norm: 5.5493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2729 loss: 2.2729 2022/07/22 20:55:30 - mmengine - INFO - Epoch(train) [27][1080/3757] lr: 1.0000e-02 eta: 18:00:13 time: 0.2475 data_time: 0.0225 memory: 6108 grad_norm: 5.4016 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1449 loss: 2.1449 2022/07/22 20:55:35 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 1.0000e-02 eta: 18:00:08 time: 0.2215 data_time: 0.0236 memory: 6108 grad_norm: 5.5407 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2368 loss: 2.2368 2022/07/22 20:55:39 - mmengine - INFO - Epoch(train) [27][1120/3757] lr: 1.0000e-02 eta: 18:00:03 time: 0.2255 data_time: 0.0220 memory: 6108 grad_norm: 5.4340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7660 loss: 1.7660 2022/07/22 20:55:44 - mmengine - INFO - Epoch(train) [27][1140/3757] lr: 1.0000e-02 eta: 17:59:58 time: 0.2424 data_time: 0.0311 memory: 6108 grad_norm: 5.6597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3741 loss: 2.3741 2022/07/22 20:55:49 - mmengine - INFO - Epoch(train) [27][1160/3757] lr: 1.0000e-02 eta: 17:59:55 time: 0.2490 data_time: 0.0181 memory: 6108 grad_norm: 5.6429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0760 loss: 2.0760 2022/07/22 20:55:54 - mmengine - INFO - Epoch(train) [27][1180/3757] lr: 1.0000e-02 eta: 17:59:49 time: 0.2223 data_time: 0.0236 memory: 6108 grad_norm: 5.5259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7812 loss: 1.7812 2022/07/22 20:55:58 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 1.0000e-02 eta: 17:59:44 time: 0.2330 data_time: 0.0271 memory: 6108 grad_norm: 5.5837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0292 loss: 2.0292 2022/07/22 20:56:03 - mmengine - INFO - Epoch(train) [27][1220/3757] lr: 1.0000e-02 eta: 17:59:39 time: 0.2198 data_time: 0.0222 memory: 6108 grad_norm: 5.5922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8728 loss: 1.8728 2022/07/22 20:56:08 - mmengine - INFO - Epoch(train) [27][1240/3757] lr: 1.0000e-02 eta: 17:59:35 time: 0.2451 data_time: 0.0232 memory: 6108 grad_norm: 5.5504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1160 loss: 2.1160 2022/07/22 20:56:12 - mmengine - INFO - Epoch(train) [27][1260/3757] lr: 1.0000e-02 eta: 17:59:30 time: 0.2323 data_time: 0.0274 memory: 6108 grad_norm: 5.4148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9221 loss: 1.9221 2022/07/22 20:56:17 - mmengine - INFO - Epoch(train) [27][1280/3757] lr: 1.0000e-02 eta: 17:59:26 time: 0.2422 data_time: 0.0207 memory: 6108 grad_norm: 5.5394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/07/22 20:56:22 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 1.0000e-02 eta: 17:59:21 time: 0.2248 data_time: 0.0212 memory: 6108 grad_norm: 5.5501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6145 loss: 1.6145 2022/07/22 20:56:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 20:56:26 - mmengine - INFO - Epoch(train) [27][1320/3757] lr: 1.0000e-02 eta: 17:59:15 time: 0.2216 data_time: 0.0286 memory: 6108 grad_norm: 5.4271 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7647 loss: 1.7647 2022/07/22 20:56:31 - mmengine - INFO - Epoch(train) [27][1340/3757] lr: 1.0000e-02 eta: 17:59:11 time: 0.2330 data_time: 0.0253 memory: 6108 grad_norm: 5.7208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8796 loss: 1.8796 2022/07/22 20:56:35 - mmengine - INFO - Epoch(train) [27][1360/3757] lr: 1.0000e-02 eta: 17:59:06 time: 0.2326 data_time: 0.0280 memory: 6108 grad_norm: 5.6513 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0952 loss: 2.0952 2022/07/22 20:56:41 - mmengine - INFO - Epoch(train) [27][1380/3757] lr: 1.0000e-02 eta: 17:59:03 time: 0.2594 data_time: 0.0172 memory: 6108 grad_norm: 5.6174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0035 loss: 2.0035 2022/07/22 20:56:45 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 1.0000e-02 eta: 17:58:58 time: 0.2351 data_time: 0.0225 memory: 6108 grad_norm: 5.7562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2560 loss: 2.2560 2022/07/22 20:56:50 - mmengine - INFO - Epoch(train) [27][1420/3757] lr: 1.0000e-02 eta: 17:58:53 time: 0.2271 data_time: 0.0241 memory: 6108 grad_norm: 5.6851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2628 loss: 2.2628 2022/07/22 20:56:54 - mmengine - INFO - Epoch(train) [27][1440/3757] lr: 1.0000e-02 eta: 17:58:48 time: 0.2258 data_time: 0.0236 memory: 6108 grad_norm: 5.5664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1837 loss: 2.1837 2022/07/22 20:57:00 - mmengine - INFO - Epoch(train) [27][1460/3757] lr: 1.0000e-02 eta: 17:58:45 time: 0.2648 data_time: 0.0171 memory: 6108 grad_norm: 5.6048 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3775 loss: 2.3775 2022/07/22 20:57:04 - mmengine - INFO - Epoch(train) [27][1480/3757] lr: 1.0000e-02 eta: 17:58:40 time: 0.2342 data_time: 0.0225 memory: 6108 grad_norm: 5.7544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0118 loss: 2.0118 2022/07/22 20:57:09 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 1.0000e-02 eta: 17:58:35 time: 0.2332 data_time: 0.0247 memory: 6108 grad_norm: 5.6387 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8162 loss: 1.8162 2022/07/22 20:57:14 - mmengine - INFO - Epoch(train) [27][1520/3757] lr: 1.0000e-02 eta: 17:58:30 time: 0.2264 data_time: 0.0187 memory: 6108 grad_norm: 5.6273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7397 loss: 1.7397 2022/07/22 20:57:18 - mmengine - INFO - Epoch(train) [27][1540/3757] lr: 1.0000e-02 eta: 17:58:25 time: 0.2298 data_time: 0.0231 memory: 6108 grad_norm: 5.7622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3352 loss: 2.3352 2022/07/22 20:57:23 - mmengine - INFO - Epoch(train) [27][1560/3757] lr: 1.0000e-02 eta: 17:58:21 time: 0.2329 data_time: 0.0215 memory: 6108 grad_norm: 5.4556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9430 loss: 1.9430 2022/07/22 20:57:28 - mmengine - INFO - Epoch(train) [27][1580/3757] lr: 1.0000e-02 eta: 17:58:16 time: 0.2425 data_time: 0.0338 memory: 6108 grad_norm: 5.6214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0942 loss: 2.0942 2022/07/22 20:57:32 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 1.0000e-02 eta: 17:58:12 time: 0.2302 data_time: 0.0224 memory: 6108 grad_norm: 5.3842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9350 loss: 1.9350 2022/07/22 20:57:37 - mmengine - INFO - Epoch(train) [27][1620/3757] lr: 1.0000e-02 eta: 17:58:07 time: 0.2306 data_time: 0.0250 memory: 6108 grad_norm: 5.6510 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9284 loss: 1.9284 2022/07/22 20:57:42 - mmengine - INFO - Epoch(train) [27][1640/3757] lr: 1.0000e-02 eta: 17:58:02 time: 0.2421 data_time: 0.0430 memory: 6108 grad_norm: 5.4777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9109 loss: 1.9109 2022/07/22 20:57:46 - mmengine - INFO - Epoch(train) [27][1660/3757] lr: 1.0000e-02 eta: 17:57:57 time: 0.2226 data_time: 0.0228 memory: 6108 grad_norm: 5.5822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9608 loss: 1.9608 2022/07/22 20:57:51 - mmengine - INFO - Epoch(train) [27][1680/3757] lr: 1.0000e-02 eta: 17:57:52 time: 0.2296 data_time: 0.0261 memory: 6108 grad_norm: 5.6745 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0694 loss: 2.0694 2022/07/22 20:57:56 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 1.0000e-02 eta: 17:57:49 time: 0.2564 data_time: 0.0215 memory: 6108 grad_norm: 5.6638 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1620 loss: 2.1620 2022/07/22 20:58:01 - mmengine - INFO - Epoch(train) [27][1720/3757] lr: 1.0000e-02 eta: 17:57:44 time: 0.2357 data_time: 0.0225 memory: 6108 grad_norm: 5.7951 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8555 loss: 1.8555 2022/07/22 20:58:05 - mmengine - INFO - Epoch(train) [27][1740/3757] lr: 1.0000e-02 eta: 17:57:39 time: 0.2264 data_time: 0.0247 memory: 6108 grad_norm: 5.6663 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9527 loss: 1.9527 2022/07/22 20:58:10 - mmengine - INFO - Epoch(train) [27][1760/3757] lr: 1.0000e-02 eta: 17:57:34 time: 0.2257 data_time: 0.0220 memory: 6108 grad_norm: 5.7510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9999 loss: 1.9999 2022/07/22 20:58:14 - mmengine - INFO - Epoch(train) [27][1780/3757] lr: 1.0000e-02 eta: 17:57:29 time: 0.2300 data_time: 0.0221 memory: 6108 grad_norm: 5.4788 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0557 loss: 2.0557 2022/07/22 20:58:19 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 1.0000e-02 eta: 17:57:24 time: 0.2349 data_time: 0.0221 memory: 6108 grad_norm: 5.6787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7455 loss: 1.7455 2022/07/22 20:58:24 - mmengine - INFO - Epoch(train) [27][1820/3757] lr: 1.0000e-02 eta: 17:57:21 time: 0.2496 data_time: 0.0248 memory: 6108 grad_norm: 5.5171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7417 loss: 1.7417 2022/07/22 20:58:29 - mmengine - INFO - Epoch(train) [27][1840/3757] lr: 1.0000e-02 eta: 17:57:16 time: 0.2342 data_time: 0.0208 memory: 6108 grad_norm: 5.6082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8167 loss: 1.8167 2022/07/22 20:58:33 - mmengine - INFO - Epoch(train) [27][1860/3757] lr: 1.0000e-02 eta: 17:57:11 time: 0.2244 data_time: 0.0200 memory: 6108 grad_norm: 5.7373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8422 loss: 1.8422 2022/07/22 20:58:38 - mmengine - INFO - Epoch(train) [27][1880/3757] lr: 1.0000e-02 eta: 17:57:07 time: 0.2539 data_time: 0.0266 memory: 6108 grad_norm: 5.6877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1052 loss: 2.1052 2022/07/22 20:58:43 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 1.0000e-02 eta: 17:57:02 time: 0.2227 data_time: 0.0179 memory: 6108 grad_norm: 5.4997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2565 loss: 2.2565 2022/07/22 20:58:47 - mmengine - INFO - Epoch(train) [27][1920/3757] lr: 1.0000e-02 eta: 17:56:56 time: 0.2226 data_time: 0.0205 memory: 6108 grad_norm: 5.7401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0435 loss: 2.0435 2022/07/22 20:58:52 - mmengine - INFO - Epoch(train) [27][1940/3757] lr: 1.0000e-02 eta: 17:56:52 time: 0.2450 data_time: 0.0201 memory: 6108 grad_norm: 5.6011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2383 loss: 2.2383 2022/07/22 20:58:58 - mmengine - INFO - Epoch(train) [27][1960/3757] lr: 1.0000e-02 eta: 17:56:50 time: 0.2789 data_time: 0.0175 memory: 6108 grad_norm: 5.7197 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1491 loss: 2.1491 2022/07/22 20:59:02 - mmengine - INFO - Epoch(train) [27][1980/3757] lr: 1.0000e-02 eta: 17:56:44 time: 0.2153 data_time: 0.0201 memory: 6108 grad_norm: 5.7149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3196 loss: 2.3196 2022/07/22 20:59:07 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 1.0000e-02 eta: 17:56:39 time: 0.2254 data_time: 0.0191 memory: 6108 grad_norm: 5.6819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1275 loss: 2.1275 2022/07/22 20:59:12 - mmengine - INFO - Epoch(train) [27][2020/3757] lr: 1.0000e-02 eta: 17:56:35 time: 0.2451 data_time: 0.0236 memory: 6108 grad_norm: 5.5691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0206 loss: 2.0206 2022/07/22 20:59:16 - mmengine - INFO - Epoch(train) [27][2040/3757] lr: 1.0000e-02 eta: 17:56:30 time: 0.2284 data_time: 0.0276 memory: 6108 grad_norm: 5.4778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0112 loss: 2.0112 2022/07/22 20:59:21 - mmengine - INFO - Epoch(train) [27][2060/3757] lr: 1.0000e-02 eta: 17:56:26 time: 0.2409 data_time: 0.0188 memory: 6108 grad_norm: 5.5892 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1097 loss: 2.1097 2022/07/22 20:59:25 - mmengine - INFO - Epoch(train) [27][2080/3757] lr: 1.0000e-02 eta: 17:56:21 time: 0.2221 data_time: 0.0258 memory: 6108 grad_norm: 5.5225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1646 loss: 2.1646 2022/07/22 20:59:30 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 1.0000e-02 eta: 17:56:16 time: 0.2370 data_time: 0.0228 memory: 6108 grad_norm: 5.6205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2480 loss: 2.2480 2022/07/22 20:59:35 - mmengine - INFO - Epoch(train) [27][2120/3757] lr: 1.0000e-02 eta: 17:56:11 time: 0.2320 data_time: 0.0204 memory: 6108 grad_norm: 5.5244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8067 loss: 1.8067 2022/07/22 20:59:40 - mmengine - INFO - Epoch(train) [27][2140/3757] lr: 1.0000e-02 eta: 17:56:07 time: 0.2498 data_time: 0.0237 memory: 6108 grad_norm: 5.7258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1097 loss: 2.1097 2022/07/22 20:59:44 - mmengine - INFO - Epoch(train) [27][2160/3757] lr: 1.0000e-02 eta: 17:56:02 time: 0.2278 data_time: 0.0236 memory: 6108 grad_norm: 5.6359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0283 loss: 2.0283 2022/07/22 20:59:49 - mmengine - INFO - Epoch(train) [27][2180/3757] lr: 1.0000e-02 eta: 17:55:58 time: 0.2361 data_time: 0.0206 memory: 6108 grad_norm: 5.6851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/07/22 20:59:54 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 1.0000e-02 eta: 17:55:52 time: 0.2212 data_time: 0.0202 memory: 6108 grad_norm: 5.6078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1139 loss: 2.1139 2022/07/22 20:59:59 - mmengine - INFO - Epoch(train) [27][2220/3757] lr: 1.0000e-02 eta: 17:55:49 time: 0.2510 data_time: 0.0241 memory: 6108 grad_norm: 5.4700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7265 loss: 1.7265 2022/07/22 21:00:03 - mmengine - INFO - Epoch(train) [27][2240/3757] lr: 1.0000e-02 eta: 17:55:44 time: 0.2241 data_time: 0.0272 memory: 6108 grad_norm: 5.5527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2612 loss: 2.2612 2022/07/22 21:00:08 - mmengine - INFO - Epoch(train) [27][2260/3757] lr: 1.0000e-02 eta: 17:55:38 time: 0.2245 data_time: 0.0252 memory: 6108 grad_norm: 5.6818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8523 loss: 1.8523 2022/07/22 21:00:13 - mmengine - INFO - Epoch(train) [27][2280/3757] lr: 1.0000e-02 eta: 17:55:35 time: 0.2529 data_time: 0.0241 memory: 6108 grad_norm: 5.7635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9892 loss: 1.9892 2022/07/22 21:00:17 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 1.0000e-02 eta: 17:55:30 time: 0.2365 data_time: 0.0273 memory: 6108 grad_norm: 5.7950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0558 loss: 2.0558 2022/07/22 21:00:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:00:22 - mmengine - INFO - Epoch(train) [27][2320/3757] lr: 1.0000e-02 eta: 17:55:25 time: 0.2327 data_time: 0.0223 memory: 6108 grad_norm: 5.7774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0296 loss: 2.0296 2022/07/22 21:00:26 - mmengine - INFO - Epoch(train) [27][2340/3757] lr: 1.0000e-02 eta: 17:55:20 time: 0.2220 data_time: 0.0214 memory: 6108 grad_norm: 5.4808 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0974 loss: 2.0974 2022/07/22 21:00:31 - mmengine - INFO - Epoch(train) [27][2360/3757] lr: 1.0000e-02 eta: 17:55:15 time: 0.2255 data_time: 0.0229 memory: 6108 grad_norm: 5.6892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2369 loss: 2.2369 2022/07/22 21:00:36 - mmengine - INFO - Epoch(train) [27][2380/3757] lr: 1.0000e-02 eta: 17:55:10 time: 0.2272 data_time: 0.0191 memory: 6108 grad_norm: 5.6319 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1311 loss: 2.1311 2022/07/22 21:00:41 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 1.0000e-02 eta: 17:55:09 time: 0.2966 data_time: 0.0222 memory: 6108 grad_norm: 5.5775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9295 loss: 1.9295 2022/07/22 21:00:46 - mmengine - INFO - Epoch(train) [27][2420/3757] lr: 1.0000e-02 eta: 17:55:03 time: 0.2171 data_time: 0.0176 memory: 6108 grad_norm: 5.7229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0866 loss: 2.0866 2022/07/22 21:00:50 - mmengine - INFO - Epoch(train) [27][2440/3757] lr: 1.0000e-02 eta: 17:54:58 time: 0.2237 data_time: 0.0233 memory: 6108 grad_norm: 5.8607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2255 loss: 2.2255 2022/07/22 21:00:55 - mmengine - INFO - Epoch(train) [27][2460/3757] lr: 1.0000e-02 eta: 17:54:52 time: 0.2232 data_time: 0.0202 memory: 6108 grad_norm: 5.6622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9577 loss: 1.9577 2022/07/22 21:01:00 - mmengine - INFO - Epoch(train) [27][2480/3757] lr: 1.0000e-02 eta: 17:54:48 time: 0.2401 data_time: 0.0239 memory: 6108 grad_norm: 5.5190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2805 loss: 2.2805 2022/07/22 21:01:04 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 1.0000e-02 eta: 17:54:43 time: 0.2224 data_time: 0.0226 memory: 6108 grad_norm: 5.4778 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2003 loss: 2.2003 2022/07/22 21:01:09 - mmengine - INFO - Epoch(train) [27][2520/3757] lr: 1.0000e-02 eta: 17:54:38 time: 0.2377 data_time: 0.0217 memory: 6108 grad_norm: 5.5632 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0992 loss: 2.0992 2022/07/22 21:01:13 - mmengine - INFO - Epoch(train) [27][2540/3757] lr: 1.0000e-02 eta: 17:54:34 time: 0.2324 data_time: 0.0185 memory: 6108 grad_norm: 5.5559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9905 loss: 1.9905 2022/07/22 21:01:18 - mmengine - INFO - Epoch(train) [27][2560/3757] lr: 1.0000e-02 eta: 17:54:29 time: 0.2424 data_time: 0.0287 memory: 6108 grad_norm: 5.7696 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2985 loss: 2.2985 2022/07/22 21:01:23 - mmengine - INFO - Epoch(train) [27][2580/3757] lr: 1.0000e-02 eta: 17:54:24 time: 0.2289 data_time: 0.0198 memory: 6108 grad_norm: 5.7018 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0489 loss: 2.0489 2022/07/22 21:01:28 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 1.0000e-02 eta: 17:54:20 time: 0.2391 data_time: 0.0249 memory: 6108 grad_norm: 5.6644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8321 loss: 1.8321 2022/07/22 21:01:32 - mmengine - INFO - Epoch(train) [27][2620/3757] lr: 1.0000e-02 eta: 17:54:15 time: 0.2225 data_time: 0.0208 memory: 6108 grad_norm: 5.6598 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0344 loss: 2.0344 2022/07/22 21:01:37 - mmengine - INFO - Epoch(train) [27][2640/3757] lr: 1.0000e-02 eta: 17:54:09 time: 0.2245 data_time: 0.0226 memory: 6108 grad_norm: 5.4779 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9203 loss: 1.9203 2022/07/22 21:01:42 - mmengine - INFO - Epoch(train) [27][2660/3757] lr: 1.0000e-02 eta: 17:54:05 time: 0.2482 data_time: 0.0161 memory: 6108 grad_norm: 5.6663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1223 loss: 2.1223 2022/07/22 21:01:46 - mmengine - INFO - Epoch(train) [27][2680/3757] lr: 1.0000e-02 eta: 17:54:01 time: 0.2341 data_time: 0.0202 memory: 6108 grad_norm: 5.5459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1193 loss: 2.1193 2022/07/22 21:01:51 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 1.0000e-02 eta: 17:53:56 time: 0.2381 data_time: 0.0207 memory: 6108 grad_norm: 5.7718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4265 loss: 2.4265 2022/07/22 21:01:56 - mmengine - INFO - Epoch(train) [27][2720/3757] lr: 1.0000e-02 eta: 17:53:51 time: 0.2251 data_time: 0.0265 memory: 6108 grad_norm: 5.8820 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3449 loss: 2.3449 2022/07/22 21:02:01 - mmengine - INFO - Epoch(train) [27][2740/3757] lr: 1.0000e-02 eta: 17:53:48 time: 0.2540 data_time: 0.0198 memory: 6108 grad_norm: 5.5657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0364 loss: 2.0364 2022/07/22 21:02:05 - mmengine - INFO - Epoch(train) [27][2760/3757] lr: 1.0000e-02 eta: 17:53:43 time: 0.2268 data_time: 0.0343 memory: 6108 grad_norm: 5.6940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0459 loss: 2.0459 2022/07/22 21:02:10 - mmengine - INFO - Epoch(train) [27][2780/3757] lr: 1.0000e-02 eta: 17:53:37 time: 0.2250 data_time: 0.0240 memory: 6108 grad_norm: 5.5178 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2816 loss: 2.2816 2022/07/22 21:02:14 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 1.0000e-02 eta: 17:53:32 time: 0.2307 data_time: 0.0212 memory: 6108 grad_norm: 5.5726 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2007 loss: 2.2007 2022/07/22 21:02:19 - mmengine - INFO - Epoch(train) [27][2820/3757] lr: 1.0000e-02 eta: 17:53:28 time: 0.2394 data_time: 0.0224 memory: 6108 grad_norm: 5.4255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7754 loss: 1.7754 2022/07/22 21:02:24 - mmengine - INFO - Epoch(train) [27][2840/3757] lr: 1.0000e-02 eta: 17:53:24 time: 0.2428 data_time: 0.0194 memory: 6108 grad_norm: 5.5421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0203 loss: 2.0203 2022/07/22 21:02:29 - mmengine - INFO - Epoch(train) [27][2860/3757] lr: 1.0000e-02 eta: 17:53:19 time: 0.2381 data_time: 0.0218 memory: 6108 grad_norm: 5.5443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9842 loss: 1.9842 2022/07/22 21:02:33 - mmengine - INFO - Epoch(train) [27][2880/3757] lr: 1.0000e-02 eta: 17:53:14 time: 0.2253 data_time: 0.0258 memory: 6108 grad_norm: 5.7429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9966 loss: 1.9966 2022/07/22 21:02:39 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 1.0000e-02 eta: 17:53:11 time: 0.2590 data_time: 0.0286 memory: 6108 grad_norm: 5.5387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8349 loss: 1.8349 2022/07/22 21:02:43 - mmengine - INFO - Epoch(train) [27][2920/3757] lr: 1.0000e-02 eta: 17:53:06 time: 0.2209 data_time: 0.0253 memory: 6108 grad_norm: 5.6729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8968 loss: 1.8968 2022/07/22 21:02:47 - mmengine - INFO - Epoch(train) [27][2940/3757] lr: 1.0000e-02 eta: 17:53:00 time: 0.2230 data_time: 0.0214 memory: 6108 grad_norm: 5.6645 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4276 loss: 2.4276 2022/07/22 21:02:53 - mmengine - INFO - Epoch(train) [27][2960/3757] lr: 1.0000e-02 eta: 17:52:57 time: 0.2595 data_time: 0.0205 memory: 6108 grad_norm: 5.7643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0060 loss: 2.0060 2022/07/22 21:02:58 - mmengine - INFO - Epoch(train) [27][2980/3757] lr: 1.0000e-02 eta: 17:52:54 time: 0.2578 data_time: 0.0208 memory: 6108 grad_norm: 5.5549 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2435 loss: 2.2435 2022/07/22 21:03:02 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 1.0000e-02 eta: 17:52:48 time: 0.2215 data_time: 0.0179 memory: 6108 grad_norm: 5.6942 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9125 loss: 1.9125 2022/07/22 21:03:07 - mmengine - INFO - Epoch(train) [27][3020/3757] lr: 1.0000e-02 eta: 17:52:44 time: 0.2473 data_time: 0.0448 memory: 6108 grad_norm: 5.5116 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1123 loss: 2.1123 2022/07/22 21:03:12 - mmengine - INFO - Epoch(train) [27][3040/3757] lr: 1.0000e-02 eta: 17:52:39 time: 0.2251 data_time: 0.0239 memory: 6108 grad_norm: 5.7348 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1876 loss: 2.1876 2022/07/22 21:03:17 - mmengine - INFO - Epoch(train) [27][3060/3757] lr: 1.0000e-02 eta: 17:52:36 time: 0.2586 data_time: 0.0173 memory: 6108 grad_norm: 5.7468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3249 loss: 2.3249 2022/07/22 21:03:22 - mmengine - INFO - Epoch(train) [27][3080/3757] lr: 1.0000e-02 eta: 17:52:32 time: 0.2435 data_time: 0.0288 memory: 6108 grad_norm: 5.6012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1044 loss: 2.1044 2022/07/22 21:03:26 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 1.0000e-02 eta: 17:52:27 time: 0.2268 data_time: 0.0212 memory: 6108 grad_norm: 5.5892 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1083 loss: 2.1083 2022/07/22 21:03:31 - mmengine - INFO - Epoch(train) [27][3120/3757] lr: 1.0000e-02 eta: 17:52:22 time: 0.2288 data_time: 0.0196 memory: 6108 grad_norm: 5.5998 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7668 loss: 1.7668 2022/07/22 21:03:36 - mmengine - INFO - Epoch(train) [27][3140/3757] lr: 1.0000e-02 eta: 17:52:17 time: 0.2404 data_time: 0.0203 memory: 6108 grad_norm: 5.6812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1933 loss: 2.1933 2022/07/22 21:03:41 - mmengine - INFO - Epoch(train) [27][3160/3757] lr: 1.0000e-02 eta: 17:52:13 time: 0.2443 data_time: 0.0262 memory: 6108 grad_norm: 5.8163 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3355 loss: 2.3355 2022/07/22 21:03:45 - mmengine - INFO - Epoch(train) [27][3180/3757] lr: 1.0000e-02 eta: 17:52:09 time: 0.2419 data_time: 0.0173 memory: 6108 grad_norm: 5.7061 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2559 loss: 2.2559 2022/07/22 21:03:50 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 1.0000e-02 eta: 17:52:05 time: 0.2414 data_time: 0.0219 memory: 6108 grad_norm: 5.6886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8610 loss: 1.8610 2022/07/22 21:03:55 - mmengine - INFO - Epoch(train) [27][3220/3757] lr: 1.0000e-02 eta: 17:52:01 time: 0.2482 data_time: 0.0277 memory: 6108 grad_norm: 5.7464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0893 loss: 2.0893 2022/07/22 21:04:00 - mmengine - INFO - Epoch(train) [27][3240/3757] lr: 1.0000e-02 eta: 17:51:57 time: 0.2482 data_time: 0.0178 memory: 6108 grad_norm: 5.7059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1237 loss: 2.1237 2022/07/22 21:04:05 - mmengine - INFO - Epoch(train) [27][3260/3757] lr: 1.0000e-02 eta: 17:51:51 time: 0.2222 data_time: 0.0176 memory: 6108 grad_norm: 5.5400 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9495 loss: 1.9495 2022/07/22 21:04:09 - mmengine - INFO - Epoch(train) [27][3280/3757] lr: 1.0000e-02 eta: 17:51:46 time: 0.2295 data_time: 0.0243 memory: 6108 grad_norm: 5.7093 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0579 loss: 2.0579 2022/07/22 21:04:14 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 1.0000e-02 eta: 17:51:41 time: 0.2275 data_time: 0.0193 memory: 6108 grad_norm: 5.4062 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2060 loss: 2.2060 2022/07/22 21:04:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:04:19 - mmengine - INFO - Epoch(train) [27][3320/3757] lr: 1.0000e-02 eta: 17:51:37 time: 0.2381 data_time: 0.0246 memory: 6108 grad_norm: 5.7939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1268 loss: 2.1268 2022/07/22 21:04:23 - mmengine - INFO - Epoch(train) [27][3340/3757] lr: 1.0000e-02 eta: 17:51:32 time: 0.2252 data_time: 0.0207 memory: 6108 grad_norm: 5.6765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9698 loss: 1.9698 2022/07/22 21:04:28 - mmengine - INFO - Epoch(train) [27][3360/3757] lr: 1.0000e-02 eta: 17:51:27 time: 0.2290 data_time: 0.0266 memory: 6108 grad_norm: 5.9230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9138 loss: 1.9138 2022/07/22 21:04:32 - mmengine - INFO - Epoch(train) [27][3380/3757] lr: 1.0000e-02 eta: 17:51:22 time: 0.2232 data_time: 0.0204 memory: 6108 grad_norm: 5.6568 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0258 loss: 2.0258 2022/07/22 21:04:37 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 1.0000e-02 eta: 17:51:16 time: 0.2242 data_time: 0.0224 memory: 6108 grad_norm: 5.6262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0640 loss: 2.0640 2022/07/22 21:04:41 - mmengine - INFO - Epoch(train) [27][3420/3757] lr: 1.0000e-02 eta: 17:51:12 time: 0.2348 data_time: 0.0181 memory: 6108 grad_norm: 5.6295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1679 loss: 2.1679 2022/07/22 21:04:46 - mmengine - INFO - Epoch(train) [27][3440/3757] lr: 1.0000e-02 eta: 17:51:07 time: 0.2395 data_time: 0.0209 memory: 6108 grad_norm: 5.4043 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5399 loss: 2.5399 2022/07/22 21:04:51 - mmengine - INFO - Epoch(train) [27][3460/3757] lr: 1.0000e-02 eta: 17:51:02 time: 0.2261 data_time: 0.0239 memory: 6108 grad_norm: 5.4252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/07/22 21:04:55 - mmengine - INFO - Epoch(train) [27][3480/3757] lr: 1.0000e-02 eta: 17:50:57 time: 0.2212 data_time: 0.0227 memory: 6108 grad_norm: 5.6181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1291 loss: 2.1291 2022/07/22 21:05:01 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 1.0000e-02 eta: 17:50:54 time: 0.2670 data_time: 0.0209 memory: 6108 grad_norm: 5.7109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2485 loss: 2.2485 2022/07/22 21:05:05 - mmengine - INFO - Epoch(train) [27][3520/3757] lr: 1.0000e-02 eta: 17:50:49 time: 0.2297 data_time: 0.0225 memory: 6108 grad_norm: 5.6591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2349 loss: 2.2349 2022/07/22 21:05:10 - mmengine - INFO - Epoch(train) [27][3540/3757] lr: 1.0000e-02 eta: 17:50:44 time: 0.2240 data_time: 0.0235 memory: 6108 grad_norm: 5.7289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0540 loss: 2.0540 2022/07/22 21:05:14 - mmengine - INFO - Epoch(train) [27][3560/3757] lr: 1.0000e-02 eta: 17:50:39 time: 0.2258 data_time: 0.0190 memory: 6108 grad_norm: 5.8134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2083 loss: 2.2083 2022/07/22 21:05:20 - mmengine - INFO - Epoch(train) [27][3580/3757] lr: 1.0000e-02 eta: 17:50:37 time: 0.2813 data_time: 0.0282 memory: 6108 grad_norm: 5.5890 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8980 loss: 1.8980 2022/07/22 21:05:24 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 1.0000e-02 eta: 17:50:31 time: 0.2264 data_time: 0.0237 memory: 6108 grad_norm: 5.6369 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1799 loss: 2.1799 2022/07/22 21:05:29 - mmengine - INFO - Epoch(train) [27][3620/3757] lr: 1.0000e-02 eta: 17:50:27 time: 0.2312 data_time: 0.0200 memory: 6108 grad_norm: 5.7331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1178 loss: 2.1178 2022/07/22 21:05:34 - mmengine - INFO - Epoch(train) [27][3640/3757] lr: 1.0000e-02 eta: 17:50:21 time: 0.2252 data_time: 0.0198 memory: 6108 grad_norm: 5.4358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2670 loss: 2.2670 2022/07/22 21:05:38 - mmengine - INFO - Epoch(train) [27][3660/3757] lr: 1.0000e-02 eta: 17:50:17 time: 0.2358 data_time: 0.0253 memory: 6108 grad_norm: 5.4960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9340 loss: 1.9340 2022/07/22 21:05:43 - mmengine - INFO - Epoch(train) [27][3680/3757] lr: 1.0000e-02 eta: 17:50:12 time: 0.2253 data_time: 0.0216 memory: 6108 grad_norm: 5.8166 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8416 loss: 1.8416 2022/07/22 21:05:47 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 1.0000e-02 eta: 17:50:07 time: 0.2262 data_time: 0.0217 memory: 6108 grad_norm: 5.6204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1393 loss: 2.1393 2022/07/22 21:05:52 - mmengine - INFO - Epoch(train) [27][3720/3757] lr: 1.0000e-02 eta: 17:50:01 time: 0.2241 data_time: 0.0189 memory: 6108 grad_norm: 5.5242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7732 loss: 1.7732 2022/07/22 21:05:56 - mmengine - INFO - Epoch(train) [27][3740/3757] lr: 1.0000e-02 eta: 17:49:56 time: 0.2264 data_time: 0.0227 memory: 6108 grad_norm: 5.5943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0731 loss: 2.0731 2022/07/22 21:06:01 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:06:01 - mmengine - INFO - Epoch(train) [27][3757/3757] lr: 1.0000e-02 eta: 17:49:56 time: 0.2427 data_time: 0.0129 memory: 6108 grad_norm: 5.6484 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1916 loss: 2.1916 2022/07/22 21:06:06 - mmengine - INFO - Epoch(val) [27][20/310] eta: 0:01:18 time: 0.2710 data_time: 0.1882 memory: 1428 2022/07/22 21:06:10 - mmengine - INFO - Epoch(val) [27][40/310] eta: 0:00:48 time: 0.1781 data_time: 0.1020 memory: 1428 2022/07/22 21:06:14 - mmengine - INFO - Epoch(val) [27][60/310] eta: 0:00:59 time: 0.2375 data_time: 0.1605 memory: 1428 2022/07/22 21:06:19 - mmengine - INFO - Epoch(val) [27][80/310] eta: 0:00:48 time: 0.2120 data_time: 0.1125 memory: 1428 2022/07/22 21:06:23 - mmengine - INFO - Epoch(val) [27][100/310] eta: 0:00:43 time: 0.2048 data_time: 0.1317 memory: 1428 2022/07/22 21:06:27 - mmengine - INFO - Epoch(val) [27][120/310] eta: 0:00:37 time: 0.1950 data_time: 0.1203 memory: 1428 2022/07/22 21:06:31 - mmengine - INFO - Epoch(val) [27][140/310] eta: 0:00:37 time: 0.2228 data_time: 0.1510 memory: 1428 2022/07/22 21:06:35 - mmengine - INFO - Epoch(val) [27][160/310] eta: 0:00:33 time: 0.2215 data_time: 0.1462 memory: 1428 2022/07/22 21:06:40 - mmengine - INFO - Epoch(val) [27][180/310] eta: 0:00:29 time: 0.2291 data_time: 0.1502 memory: 1428 2022/07/22 21:06:44 - mmengine - INFO - Epoch(val) [27][200/310] eta: 0:00:19 time: 0.1792 data_time: 0.1062 memory: 1428 2022/07/22 21:06:49 - mmengine - INFO - Epoch(val) [27][220/310] eta: 0:00:26 time: 0.2904 data_time: 0.2130 memory: 1428 2022/07/22 21:06:53 - mmengine - INFO - Epoch(val) [27][240/310] eta: 0:00:13 time: 0.1940 data_time: 0.1191 memory: 1428 2022/07/22 21:06:58 - mmengine - INFO - Epoch(val) [27][260/310] eta: 0:00:12 time: 0.2494 data_time: 0.1755 memory: 1428 2022/07/22 21:07:02 - mmengine - INFO - Epoch(val) [27][280/310] eta: 0:00:05 time: 0.1876 data_time: 0.1100 memory: 1428 2022/07/22 21:07:06 - mmengine - INFO - Epoch(val) [27][300/310] eta: 0:00:02 time: 0.2037 data_time: 0.1333 memory: 1428 2022/07/22 21:07:09 - mmengine - INFO - Epoch(val) [27][310/310] acc/top1: 0.5550 acc/top5: 0.7979 acc/mean1: 0.5548 2022/07/22 21:07:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/07/22 21:07:12 - mmengine - INFO - The best checkpoint with 0.5550 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/07/22 21:07:17 - mmengine - INFO - Epoch(train) [28][20/3757] lr: 1.0000e-02 eta: 17:49:39 time: 0.2696 data_time: 0.0798 memory: 6108 grad_norm: 5.2259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7037 loss: 1.7037 2022/07/22 21:07:22 - mmengine - INFO - Epoch(train) [28][40/3757] lr: 1.0000e-02 eta: 17:49:35 time: 0.2426 data_time: 0.0200 memory: 6108 grad_norm: 5.4151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3292 loss: 2.3292 2022/07/22 21:07:27 - mmengine - INFO - Epoch(train) [28][60/3757] lr: 1.0000e-02 eta: 17:49:30 time: 0.2414 data_time: 0.0378 memory: 6108 grad_norm: 5.4747 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0952 loss: 2.0952 2022/07/22 21:07:31 - mmengine - INFO - Epoch(train) [28][80/3757] lr: 1.0000e-02 eta: 17:49:25 time: 0.2264 data_time: 0.0167 memory: 6108 grad_norm: 5.7002 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9769 loss: 1.9769 2022/07/22 21:07:36 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 1.0000e-02 eta: 17:49:21 time: 0.2454 data_time: 0.0361 memory: 6108 grad_norm: 5.6352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3201 loss: 2.3201 2022/07/22 21:07:41 - mmengine - INFO - Epoch(train) [28][120/3757] lr: 1.0000e-02 eta: 17:49:16 time: 0.2343 data_time: 0.0178 memory: 6108 grad_norm: 5.6400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0807 loss: 2.0807 2022/07/22 21:07:46 - mmengine - INFO - Epoch(train) [28][140/3757] lr: 1.0000e-02 eta: 17:49:12 time: 0.2314 data_time: 0.0188 memory: 6108 grad_norm: 5.7982 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3183 loss: 2.3183 2022/07/22 21:07:51 - mmengine - INFO - Epoch(train) [28][160/3757] lr: 1.0000e-02 eta: 17:49:08 time: 0.2481 data_time: 0.0367 memory: 6108 grad_norm: 5.6087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0334 loss: 2.0334 2022/07/22 21:07:55 - mmengine - INFO - Epoch(train) [28][180/3757] lr: 1.0000e-02 eta: 17:49:03 time: 0.2280 data_time: 0.0229 memory: 6108 grad_norm: 5.6566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0710 loss: 2.0710 2022/07/22 21:08:00 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 1.0000e-02 eta: 17:48:59 time: 0.2441 data_time: 0.0158 memory: 6108 grad_norm: 5.5993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9517 loss: 1.9517 2022/07/22 21:08:05 - mmengine - INFO - Epoch(train) [28][220/3757] lr: 1.0000e-02 eta: 17:48:53 time: 0.2254 data_time: 0.0231 memory: 6108 grad_norm: 5.7717 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9644 loss: 1.9644 2022/07/22 21:08:09 - mmengine - INFO - Epoch(train) [28][240/3757] lr: 1.0000e-02 eta: 17:48:49 time: 0.2415 data_time: 0.0258 memory: 6108 grad_norm: 5.3296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9033 loss: 1.9033 2022/07/22 21:08:14 - mmengine - INFO - Epoch(train) [28][260/3757] lr: 1.0000e-02 eta: 17:48:44 time: 0.2210 data_time: 0.0173 memory: 6108 grad_norm: 5.7274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2072 loss: 2.2072 2022/07/22 21:08:19 - mmengine - INFO - Epoch(train) [28][280/3757] lr: 1.0000e-02 eta: 17:48:39 time: 0.2373 data_time: 0.0207 memory: 6108 grad_norm: 5.4487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2410 loss: 2.2410 2022/07/22 21:08:23 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 1.0000e-02 eta: 17:48:34 time: 0.2230 data_time: 0.0227 memory: 6108 grad_norm: 5.6174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/07/22 21:08:27 - mmengine - INFO - Epoch(train) [28][320/3757] lr: 1.0000e-02 eta: 17:48:29 time: 0.2219 data_time: 0.0237 memory: 6108 grad_norm: 5.7234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0077 loss: 2.0077 2022/07/22 21:08:33 - mmengine - INFO - Epoch(train) [28][340/3757] lr: 1.0000e-02 eta: 17:48:25 time: 0.2546 data_time: 0.0186 memory: 6108 grad_norm: 5.5922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0334 loss: 2.0334 2022/07/22 21:08:37 - mmengine - INFO - Epoch(train) [28][360/3757] lr: 1.0000e-02 eta: 17:48:20 time: 0.2306 data_time: 0.0216 memory: 6108 grad_norm: 5.6612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/07/22 21:08:42 - mmengine - INFO - Epoch(train) [28][380/3757] lr: 1.0000e-02 eta: 17:48:15 time: 0.2269 data_time: 0.0223 memory: 6108 grad_norm: 5.5692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0511 loss: 2.0511 2022/07/22 21:08:46 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 1.0000e-02 eta: 17:48:10 time: 0.2339 data_time: 0.0181 memory: 6108 grad_norm: 5.6394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8795 loss: 1.8795 2022/07/22 21:08:51 - mmengine - INFO - Epoch(train) [28][420/3757] lr: 1.0000e-02 eta: 17:48:06 time: 0.2449 data_time: 0.0254 memory: 6108 grad_norm: 5.6522 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1178 loss: 2.1178 2022/07/22 21:08:56 - mmengine - INFO - Epoch(train) [28][440/3757] lr: 1.0000e-02 eta: 17:48:02 time: 0.2358 data_time: 0.0282 memory: 6108 grad_norm: 5.5129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0694 loss: 2.0694 2022/07/22 21:09:01 - mmengine - INFO - Epoch(train) [28][460/3757] lr: 1.0000e-02 eta: 17:47:57 time: 0.2252 data_time: 0.0217 memory: 6108 grad_norm: 5.7807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0006 loss: 2.0006 2022/07/22 21:09:05 - mmengine - INFO - Epoch(train) [28][480/3757] lr: 1.0000e-02 eta: 17:47:52 time: 0.2315 data_time: 0.0325 memory: 6108 grad_norm: 5.5263 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9882 loss: 1.9882 2022/07/22 21:09:10 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 1.0000e-02 eta: 17:47:48 time: 0.2505 data_time: 0.0287 memory: 6108 grad_norm: 5.6204 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0656 loss: 2.0656 2022/07/22 21:09:15 - mmengine - INFO - Epoch(train) [28][520/3757] lr: 1.0000e-02 eta: 17:47:43 time: 0.2323 data_time: 0.0225 memory: 6108 grad_norm: 5.8461 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0532 loss: 2.0532 2022/07/22 21:09:19 - mmengine - INFO - Epoch(train) [28][540/3757] lr: 1.0000e-02 eta: 17:47:38 time: 0.2260 data_time: 0.0228 memory: 6108 grad_norm: 5.4665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6512 loss: 1.6512 2022/07/22 21:09:24 - mmengine - INFO - Epoch(train) [28][560/3757] lr: 1.0000e-02 eta: 17:47:33 time: 0.2269 data_time: 0.0188 memory: 6108 grad_norm: 5.5742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3195 loss: 2.3195 2022/07/22 21:09:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:09:29 - mmengine - INFO - Epoch(train) [28][580/3757] lr: 1.0000e-02 eta: 17:47:28 time: 0.2316 data_time: 0.0254 memory: 6108 grad_norm: 5.6844 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/07/22 21:09:33 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 1.0000e-02 eta: 17:47:23 time: 0.2240 data_time: 0.0215 memory: 6108 grad_norm: 5.6575 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2338 loss: 2.2338 2022/07/22 21:09:38 - mmengine - INFO - Epoch(train) [28][620/3757] lr: 1.0000e-02 eta: 17:47:18 time: 0.2228 data_time: 0.0212 memory: 6108 grad_norm: 5.7123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9086 loss: 1.9086 2022/07/22 21:09:43 - mmengine - INFO - Epoch(train) [28][640/3757] lr: 1.0000e-02 eta: 17:47:14 time: 0.2484 data_time: 0.0202 memory: 6108 grad_norm: 5.5715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0051 loss: 2.0051 2022/07/22 21:09:47 - mmengine - INFO - Epoch(train) [28][660/3757] lr: 1.0000e-02 eta: 17:47:09 time: 0.2281 data_time: 0.0260 memory: 6108 grad_norm: 5.7787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2055 loss: 2.2055 2022/07/22 21:09:52 - mmengine - INFO - Epoch(train) [28][680/3757] lr: 1.0000e-02 eta: 17:47:05 time: 0.2405 data_time: 0.0180 memory: 6108 grad_norm: 5.6572 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0460 loss: 2.0460 2022/07/22 21:09:57 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 1.0000e-02 eta: 17:47:00 time: 0.2283 data_time: 0.0237 memory: 6108 grad_norm: 5.4431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1677 loss: 2.1677 2022/07/22 21:10:01 - mmengine - INFO - Epoch(train) [28][720/3757] lr: 1.0000e-02 eta: 17:46:55 time: 0.2287 data_time: 0.0241 memory: 6108 grad_norm: 5.4037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9497 loss: 1.9497 2022/07/22 21:10:06 - mmengine - INFO - Epoch(train) [28][740/3757] lr: 1.0000e-02 eta: 17:46:50 time: 0.2369 data_time: 0.0241 memory: 6108 grad_norm: 5.4817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8011 loss: 1.8011 2022/07/22 21:10:11 - mmengine - INFO - Epoch(train) [28][760/3757] lr: 1.0000e-02 eta: 17:46:46 time: 0.2485 data_time: 0.0205 memory: 6108 grad_norm: 5.6933 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0120 loss: 2.0120 2022/07/22 21:10:16 - mmengine - INFO - Epoch(train) [28][780/3757] lr: 1.0000e-02 eta: 17:46:42 time: 0.2440 data_time: 0.0508 memory: 6108 grad_norm: 5.7057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2105 loss: 2.2105 2022/07/22 21:10:20 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 1.0000e-02 eta: 17:46:37 time: 0.2273 data_time: 0.0191 memory: 6108 grad_norm: 5.8114 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3378 loss: 2.3378 2022/07/22 21:10:25 - mmengine - INFO - Epoch(train) [28][820/3757] lr: 1.0000e-02 eta: 17:46:32 time: 0.2254 data_time: 0.0215 memory: 6108 grad_norm: 5.6652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0055 loss: 2.0055 2022/07/22 21:10:30 - mmengine - INFO - Epoch(train) [28][840/3757] lr: 1.0000e-02 eta: 17:46:27 time: 0.2351 data_time: 0.0206 memory: 6108 grad_norm: 5.5609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8563 loss: 1.8563 2022/07/22 21:10:34 - mmengine - INFO - Epoch(train) [28][860/3757] lr: 1.0000e-02 eta: 17:46:22 time: 0.2210 data_time: 0.0190 memory: 6108 grad_norm: 5.6627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2218 loss: 2.2218 2022/07/22 21:10:38 - mmengine - INFO - Epoch(train) [28][880/3757] lr: 1.0000e-02 eta: 17:46:16 time: 0.2218 data_time: 0.0199 memory: 6108 grad_norm: 5.5657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1347 loss: 2.1347 2022/07/22 21:10:43 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 1.0000e-02 eta: 17:46:12 time: 0.2446 data_time: 0.0250 memory: 6108 grad_norm: 5.4841 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9249 loss: 1.9249 2022/07/22 21:10:48 - mmengine - INFO - Epoch(train) [28][920/3757] lr: 1.0000e-02 eta: 17:46:08 time: 0.2335 data_time: 0.0184 memory: 6108 grad_norm: 5.7535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3087 loss: 2.3087 2022/07/22 21:10:53 - mmengine - INFO - Epoch(train) [28][940/3757] lr: 1.0000e-02 eta: 17:46:03 time: 0.2345 data_time: 0.0294 memory: 6108 grad_norm: 5.4465 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9369 loss: 1.9369 2022/07/22 21:10:57 - mmengine - INFO - Epoch(train) [28][960/3757] lr: 1.0000e-02 eta: 17:45:58 time: 0.2342 data_time: 0.0250 memory: 6108 grad_norm: 5.3282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/07/22 21:11:02 - mmengine - INFO - Epoch(train) [28][980/3757] lr: 1.0000e-02 eta: 17:45:54 time: 0.2319 data_time: 0.0292 memory: 6108 grad_norm: 5.4730 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9968 loss: 1.9968 2022/07/22 21:11:07 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 1.0000e-02 eta: 17:45:49 time: 0.2339 data_time: 0.0257 memory: 6108 grad_norm: 5.5393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2148 loss: 2.2148 2022/07/22 21:11:12 - mmengine - INFO - Epoch(train) [28][1020/3757] lr: 1.0000e-02 eta: 17:45:45 time: 0.2500 data_time: 0.0217 memory: 6108 grad_norm: 5.5208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1754 loss: 2.1754 2022/07/22 21:11:16 - mmengine - INFO - Epoch(train) [28][1040/3757] lr: 1.0000e-02 eta: 17:45:40 time: 0.2246 data_time: 0.0319 memory: 6108 grad_norm: 5.4138 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0362 loss: 2.0362 2022/07/22 21:11:21 - mmengine - INFO - Epoch(train) [28][1060/3757] lr: 1.0000e-02 eta: 17:45:35 time: 0.2289 data_time: 0.0265 memory: 6108 grad_norm: 5.7373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0869 loss: 2.0869 2022/07/22 21:11:25 - mmengine - INFO - Epoch(train) [28][1080/3757] lr: 1.0000e-02 eta: 17:45:30 time: 0.2281 data_time: 0.0222 memory: 6108 grad_norm: 5.5406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9855 loss: 1.9855 2022/07/22 21:11:31 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 1.0000e-02 eta: 17:45:26 time: 0.2553 data_time: 0.0199 memory: 6108 grad_norm: 5.5799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1905 loss: 2.1905 2022/07/22 21:11:35 - mmengine - INFO - Epoch(train) [28][1120/3757] lr: 1.0000e-02 eta: 17:45:21 time: 0.2235 data_time: 0.0252 memory: 6108 grad_norm: 5.6533 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/07/22 21:11:40 - mmengine - INFO - Epoch(train) [28][1140/3757] lr: 1.0000e-02 eta: 17:45:16 time: 0.2342 data_time: 0.0295 memory: 6108 grad_norm: 5.4729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9137 loss: 1.9137 2022/07/22 21:11:44 - mmengine - INFO - Epoch(train) [28][1160/3757] lr: 1.0000e-02 eta: 17:45:12 time: 0.2337 data_time: 0.0205 memory: 6108 grad_norm: 5.6142 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3895 loss: 2.3895 2022/07/22 21:11:49 - mmengine - INFO - Epoch(train) [28][1180/3757] lr: 1.0000e-02 eta: 17:45:07 time: 0.2350 data_time: 0.0262 memory: 6108 grad_norm: 5.6941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2172 loss: 2.2172 2022/07/22 21:11:54 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 1.0000e-02 eta: 17:45:02 time: 0.2299 data_time: 0.0275 memory: 6108 grad_norm: 5.5861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9078 loss: 1.9078 2022/07/22 21:11:58 - mmengine - INFO - Epoch(train) [28][1220/3757] lr: 1.0000e-02 eta: 17:44:57 time: 0.2316 data_time: 0.0227 memory: 6108 grad_norm: 5.7806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1149 loss: 2.1149 2022/07/22 21:12:03 - mmengine - INFO - Epoch(train) [28][1240/3757] lr: 1.0000e-02 eta: 17:44:52 time: 0.2274 data_time: 0.0246 memory: 6108 grad_norm: 5.7956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1020 loss: 2.1020 2022/07/22 21:12:07 - mmengine - INFO - Epoch(train) [28][1260/3757] lr: 1.0000e-02 eta: 17:44:47 time: 0.2257 data_time: 0.0227 memory: 6108 grad_norm: 5.7044 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0541 loss: 2.0541 2022/07/22 21:12:12 - mmengine - INFO - Epoch(train) [28][1280/3757] lr: 1.0000e-02 eta: 17:44:43 time: 0.2347 data_time: 0.0210 memory: 6108 grad_norm: 5.5318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0779 loss: 2.0779 2022/07/22 21:12:17 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 1.0000e-02 eta: 17:44:38 time: 0.2268 data_time: 0.0263 memory: 6108 grad_norm: 5.6436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0660 loss: 2.0660 2022/07/22 21:12:21 - mmengine - INFO - Epoch(train) [28][1320/3757] lr: 1.0000e-02 eta: 17:44:33 time: 0.2305 data_time: 0.0267 memory: 6108 grad_norm: 5.7286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/07/22 21:12:26 - mmengine - INFO - Epoch(train) [28][1340/3757] lr: 1.0000e-02 eta: 17:44:28 time: 0.2370 data_time: 0.0189 memory: 6108 grad_norm: 5.7410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2424 loss: 2.2424 2022/07/22 21:12:31 - mmengine - INFO - Epoch(train) [28][1360/3757] lr: 1.0000e-02 eta: 17:44:23 time: 0.2338 data_time: 0.0249 memory: 6108 grad_norm: 5.5243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7665 loss: 1.7665 2022/07/22 21:12:35 - mmengine - INFO - Epoch(train) [28][1380/3757] lr: 1.0000e-02 eta: 17:44:19 time: 0.2345 data_time: 0.0215 memory: 6108 grad_norm: 5.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9173 loss: 1.9173 2022/07/22 21:12:40 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 1.0000e-02 eta: 17:44:14 time: 0.2296 data_time: 0.0185 memory: 6108 grad_norm: 5.5643 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0492 loss: 2.0492 2022/07/22 21:12:45 - mmengine - INFO - Epoch(train) [28][1420/3757] lr: 1.0000e-02 eta: 17:44:09 time: 0.2292 data_time: 0.0213 memory: 6108 grad_norm: 5.7168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2438 loss: 2.2438 2022/07/22 21:12:49 - mmengine - INFO - Epoch(train) [28][1440/3757] lr: 1.0000e-02 eta: 17:44:04 time: 0.2349 data_time: 0.0243 memory: 6108 grad_norm: 5.4068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8813 loss: 1.8813 2022/07/22 21:12:54 - mmengine - INFO - Epoch(train) [28][1460/3757] lr: 1.0000e-02 eta: 17:43:59 time: 0.2237 data_time: 0.0200 memory: 6108 grad_norm: 5.4273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8929 loss: 1.8929 2022/07/22 21:12:59 - mmengine - INFO - Epoch(train) [28][1480/3757] lr: 1.0000e-02 eta: 17:43:55 time: 0.2490 data_time: 0.0235 memory: 6108 grad_norm: 5.5725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0773 loss: 2.0773 2022/07/22 21:13:04 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 1.0000e-02 eta: 17:43:51 time: 0.2366 data_time: 0.0188 memory: 6108 grad_norm: 5.5956 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9199 loss: 1.9199 2022/07/22 21:13:08 - mmengine - INFO - Epoch(train) [28][1520/3757] lr: 1.0000e-02 eta: 17:43:46 time: 0.2359 data_time: 0.0230 memory: 6108 grad_norm: 5.5423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1901 loss: 2.1901 2022/07/22 21:13:13 - mmengine - INFO - Epoch(train) [28][1540/3757] lr: 1.0000e-02 eta: 17:43:41 time: 0.2300 data_time: 0.0203 memory: 6108 grad_norm: 5.5735 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2753 loss: 2.2753 2022/07/22 21:13:17 - mmengine - INFO - Epoch(train) [28][1560/3757] lr: 1.0000e-02 eta: 17:43:36 time: 0.2245 data_time: 0.0213 memory: 6108 grad_norm: 5.6166 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0986 loss: 2.0986 2022/07/22 21:13:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:13:22 - mmengine - INFO - Epoch(train) [28][1580/3757] lr: 1.0000e-02 eta: 17:43:32 time: 0.2428 data_time: 0.0228 memory: 6108 grad_norm: 5.7863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2392 loss: 2.2392 2022/07/22 21:13:27 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 1.0000e-02 eta: 17:43:26 time: 0.2194 data_time: 0.0207 memory: 6108 grad_norm: 5.6159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1351 loss: 2.1351 2022/07/22 21:13:32 - mmengine - INFO - Epoch(train) [28][1620/3757] lr: 1.0000e-02 eta: 17:43:23 time: 0.2559 data_time: 0.0195 memory: 6108 grad_norm: 5.6578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9323 loss: 1.9323 2022/07/22 21:13:36 - mmengine - INFO - Epoch(train) [28][1640/3757] lr: 1.0000e-02 eta: 17:43:18 time: 0.2309 data_time: 0.0247 memory: 6108 grad_norm: 5.8950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1301 loss: 2.1301 2022/07/22 21:13:41 - mmengine - INFO - Epoch(train) [28][1660/3757] lr: 1.0000e-02 eta: 17:43:14 time: 0.2464 data_time: 0.0204 memory: 6108 grad_norm: 5.7364 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2732 loss: 2.2732 2022/07/22 21:13:46 - mmengine - INFO - Epoch(train) [28][1680/3757] lr: 1.0000e-02 eta: 17:43:09 time: 0.2311 data_time: 0.0264 memory: 6108 grad_norm: 5.6180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0083 loss: 2.0083 2022/07/22 21:13:51 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 1.0000e-02 eta: 17:43:04 time: 0.2277 data_time: 0.0251 memory: 6108 grad_norm: 5.4485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7348 loss: 1.7348 2022/07/22 21:13:55 - mmengine - INFO - Epoch(train) [28][1720/3757] lr: 1.0000e-02 eta: 17:42:59 time: 0.2244 data_time: 0.0240 memory: 6108 grad_norm: 5.6004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9909 loss: 1.9909 2022/07/22 21:14:01 - mmengine - INFO - Epoch(train) [28][1740/3757] lr: 1.0000e-02 eta: 17:42:57 time: 0.2842 data_time: 0.0197 memory: 6108 grad_norm: 5.7206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1414 loss: 2.1414 2022/07/22 21:14:05 - mmengine - INFO - Epoch(train) [28][1760/3757] lr: 1.0000e-02 eta: 17:42:52 time: 0.2248 data_time: 0.0247 memory: 6108 grad_norm: 5.6820 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.1915 loss: 2.1915 2022/07/22 21:14:10 - mmengine - INFO - Epoch(train) [28][1780/3757] lr: 1.0000e-02 eta: 17:42:47 time: 0.2344 data_time: 0.0195 memory: 6108 grad_norm: 5.4929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9490 loss: 1.9490 2022/07/22 21:14:15 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 1.0000e-02 eta: 17:42:43 time: 0.2532 data_time: 0.0550 memory: 6108 grad_norm: 5.6041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1115 loss: 2.1115 2022/07/22 21:14:20 - mmengine - INFO - Epoch(train) [28][1820/3757] lr: 1.0000e-02 eta: 17:42:39 time: 0.2308 data_time: 0.0292 memory: 6108 grad_norm: 5.6004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1359 loss: 2.1359 2022/07/22 21:14:24 - mmengine - INFO - Epoch(train) [28][1840/3757] lr: 1.0000e-02 eta: 17:42:34 time: 0.2331 data_time: 0.0193 memory: 6108 grad_norm: 5.7146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1400 loss: 2.1400 2022/07/22 21:14:29 - mmengine - INFO - Epoch(train) [28][1860/3757] lr: 1.0000e-02 eta: 17:42:29 time: 0.2283 data_time: 0.0168 memory: 6108 grad_norm: 5.6848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9678 loss: 1.9678 2022/07/22 21:14:34 - mmengine - INFO - Epoch(train) [28][1880/3757] lr: 1.0000e-02 eta: 17:42:24 time: 0.2326 data_time: 0.0238 memory: 6108 grad_norm: 5.5126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8664 loss: 1.8664 2022/07/22 21:14:38 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 1.0000e-02 eta: 17:42:19 time: 0.2259 data_time: 0.0210 memory: 6108 grad_norm: 5.3771 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8515 loss: 1.8515 2022/07/22 21:14:43 - mmengine - INFO - Epoch(train) [28][1920/3757] lr: 1.0000e-02 eta: 17:42:15 time: 0.2423 data_time: 0.0240 memory: 6108 grad_norm: 5.7385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1681 loss: 2.1681 2022/07/22 21:14:49 - mmengine - INFO - Epoch(train) [28][1940/3757] lr: 1.0000e-02 eta: 17:42:13 time: 0.2848 data_time: 0.0190 memory: 6108 grad_norm: 5.7167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9721 loss: 1.9721 2022/07/22 21:14:53 - mmengine - INFO - Epoch(train) [28][1960/3757] lr: 1.0000e-02 eta: 17:42:07 time: 0.2201 data_time: 0.0205 memory: 6108 grad_norm: 5.7576 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9276 loss: 1.9276 2022/07/22 21:14:58 - mmengine - INFO - Epoch(train) [28][1980/3757] lr: 1.0000e-02 eta: 17:42:03 time: 0.2465 data_time: 0.0171 memory: 6108 grad_norm: 5.5486 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8358 loss: 1.8358 2022/07/22 21:15:03 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 1.0000e-02 eta: 17:41:59 time: 0.2431 data_time: 0.0263 memory: 6108 grad_norm: 5.5437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9283 loss: 1.9283 2022/07/22 21:15:07 - mmengine - INFO - Epoch(train) [28][2020/3757] lr: 1.0000e-02 eta: 17:41:54 time: 0.2267 data_time: 0.0236 memory: 6108 grad_norm: 5.3855 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2030 loss: 2.2030 2022/07/22 21:15:12 - mmengine - INFO - Epoch(train) [28][2040/3757] lr: 1.0000e-02 eta: 17:41:49 time: 0.2308 data_time: 0.0265 memory: 6108 grad_norm: 5.6918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7902 loss: 1.7902 2022/07/22 21:15:17 - mmengine - INFO - Epoch(train) [28][2060/3757] lr: 1.0000e-02 eta: 17:41:44 time: 0.2202 data_time: 0.0227 memory: 6108 grad_norm: 5.6091 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9036 loss: 1.9036 2022/07/22 21:15:22 - mmengine - INFO - Epoch(train) [28][2080/3757] lr: 1.0000e-02 eta: 17:41:40 time: 0.2485 data_time: 0.0453 memory: 6108 grad_norm: 5.7186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2393 loss: 2.2393 2022/07/22 21:15:26 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 1.0000e-02 eta: 17:41:36 time: 0.2449 data_time: 0.0482 memory: 6108 grad_norm: 5.6591 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1908 loss: 2.1908 2022/07/22 21:15:31 - mmengine - INFO - Epoch(train) [28][2120/3757] lr: 1.0000e-02 eta: 17:41:31 time: 0.2388 data_time: 0.0368 memory: 6108 grad_norm: 5.7098 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3892 loss: 2.3892 2022/07/22 21:15:36 - mmengine - INFO - Epoch(train) [28][2140/3757] lr: 1.0000e-02 eta: 17:41:26 time: 0.2294 data_time: 0.0214 memory: 6108 grad_norm: 5.5414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1360 loss: 2.1360 2022/07/22 21:15:41 - mmengine - INFO - Epoch(train) [28][2160/3757] lr: 1.0000e-02 eta: 17:41:22 time: 0.2431 data_time: 0.0231 memory: 6108 grad_norm: 5.4928 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8934 loss: 1.8934 2022/07/22 21:15:45 - mmengine - INFO - Epoch(train) [28][2180/3757] lr: 1.0000e-02 eta: 17:41:17 time: 0.2223 data_time: 0.0184 memory: 6108 grad_norm: 5.6307 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2497 loss: 2.2497 2022/07/22 21:15:50 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 1.0000e-02 eta: 17:41:12 time: 0.2251 data_time: 0.0280 memory: 6108 grad_norm: 5.7009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3872 loss: 2.3872 2022/07/22 21:15:54 - mmengine - INFO - Epoch(train) [28][2220/3757] lr: 1.0000e-02 eta: 17:41:06 time: 0.2226 data_time: 0.0248 memory: 6108 grad_norm: 5.7144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9868 loss: 1.9868 2022/07/22 21:15:59 - mmengine - INFO - Epoch(train) [28][2240/3757] lr: 1.0000e-02 eta: 17:41:03 time: 0.2521 data_time: 0.0218 memory: 6108 grad_norm: 5.4428 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1507 loss: 2.1507 2022/07/22 21:16:04 - mmengine - INFO - Epoch(train) [28][2260/3757] lr: 1.0000e-02 eta: 17:40:57 time: 0.2225 data_time: 0.0260 memory: 6108 grad_norm: 5.6368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9856 loss: 1.9856 2022/07/22 21:16:08 - mmengine - INFO - Epoch(train) [28][2280/3757] lr: 1.0000e-02 eta: 17:40:52 time: 0.2290 data_time: 0.0189 memory: 6108 grad_norm: 5.6844 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9180 loss: 1.9180 2022/07/22 21:16:13 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 1.0000e-02 eta: 17:40:48 time: 0.2478 data_time: 0.0219 memory: 6108 grad_norm: 5.6816 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1897 loss: 2.1897 2022/07/22 21:16:18 - mmengine - INFO - Epoch(train) [28][2320/3757] lr: 1.0000e-02 eta: 17:40:44 time: 0.2411 data_time: 0.0202 memory: 6108 grad_norm: 5.7534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3857 loss: 2.3857 2022/07/22 21:16:23 - mmengine - INFO - Epoch(train) [28][2340/3757] lr: 1.0000e-02 eta: 17:40:41 time: 0.2675 data_time: 0.0204 memory: 6108 grad_norm: 5.9081 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1145 loss: 2.1145 2022/07/22 21:16:28 - mmengine - INFO - Epoch(train) [28][2360/3757] lr: 1.0000e-02 eta: 17:40:36 time: 0.2253 data_time: 0.0219 memory: 6108 grad_norm: 5.4780 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4278 loss: 2.4278 2022/07/22 21:16:32 - mmengine - INFO - Epoch(train) [28][2380/3757] lr: 1.0000e-02 eta: 17:40:31 time: 0.2269 data_time: 0.0201 memory: 6108 grad_norm: 5.5980 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1134 loss: 2.1134 2022/07/22 21:16:37 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 1.0000e-02 eta: 17:40:26 time: 0.2254 data_time: 0.0225 memory: 6108 grad_norm: 5.5689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2234 loss: 2.2234 2022/07/22 21:16:42 - mmengine - INFO - Epoch(train) [28][2420/3757] lr: 1.0000e-02 eta: 17:40:23 time: 0.2612 data_time: 0.0247 memory: 6108 grad_norm: 5.8229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9323 loss: 1.9323 2022/07/22 21:16:47 - mmengine - INFO - Epoch(train) [28][2440/3757] lr: 1.0000e-02 eta: 17:40:17 time: 0.2241 data_time: 0.0203 memory: 6108 grad_norm: 5.5871 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0113 loss: 2.0113 2022/07/22 21:16:51 - mmengine - INFO - Epoch(train) [28][2460/3757] lr: 1.0000e-02 eta: 17:40:13 time: 0.2346 data_time: 0.0206 memory: 6108 grad_norm: 5.3454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9476 loss: 1.9476 2022/07/22 21:16:56 - mmengine - INFO - Epoch(train) [28][2480/3757] lr: 1.0000e-02 eta: 17:40:08 time: 0.2265 data_time: 0.0275 memory: 6108 grad_norm: 5.4888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9792 loss: 1.9792 2022/07/22 21:17:01 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 1.0000e-02 eta: 17:40:05 time: 0.2666 data_time: 0.0194 memory: 6108 grad_norm: 5.6712 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1435 loss: 2.1435 2022/07/22 21:17:06 - mmengine - INFO - Epoch(train) [28][2520/3757] lr: 1.0000e-02 eta: 17:40:00 time: 0.2285 data_time: 0.0230 memory: 6108 grad_norm: 5.6485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2887 loss: 2.2887 2022/07/22 21:17:10 - mmengine - INFO - Epoch(train) [28][2540/3757] lr: 1.0000e-02 eta: 17:39:55 time: 0.2267 data_time: 0.0204 memory: 6108 grad_norm: 5.4830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7624 loss: 1.7624 2022/07/22 21:17:15 - mmengine - INFO - Epoch(train) [28][2560/3757] lr: 1.0000e-02 eta: 17:39:50 time: 0.2248 data_time: 0.0225 memory: 6108 grad_norm: 5.5818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2173 loss: 2.2173 2022/07/22 21:17:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:17:20 - mmengine - INFO - Epoch(train) [28][2580/3757] lr: 1.0000e-02 eta: 17:39:45 time: 0.2384 data_time: 0.0216 memory: 6108 grad_norm: 5.6884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1401 loss: 2.1401 2022/07/22 21:17:24 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 1.0000e-02 eta: 17:39:40 time: 0.2285 data_time: 0.0239 memory: 6108 grad_norm: 5.5963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0049 loss: 2.0049 2022/07/22 21:17:29 - mmengine - INFO - Epoch(train) [28][2620/3757] lr: 1.0000e-02 eta: 17:39:35 time: 0.2226 data_time: 0.0204 memory: 6108 grad_norm: 5.5282 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1393 loss: 2.1393 2022/07/22 21:17:33 - mmengine - INFO - Epoch(train) [28][2640/3757] lr: 1.0000e-02 eta: 17:39:30 time: 0.2326 data_time: 0.0224 memory: 6108 grad_norm: 5.6002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/07/22 21:17:38 - mmengine - INFO - Epoch(train) [28][2660/3757] lr: 1.0000e-02 eta: 17:39:26 time: 0.2380 data_time: 0.0204 memory: 6108 grad_norm: 5.7505 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9131 loss: 1.9131 2022/07/22 21:17:43 - mmengine - INFO - Epoch(train) [28][2680/3757] lr: 1.0000e-02 eta: 17:39:21 time: 0.2437 data_time: 0.0239 memory: 6108 grad_norm: 5.7557 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9243 loss: 1.9243 2022/07/22 21:17:48 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 1.0000e-02 eta: 17:39:16 time: 0.2222 data_time: 0.0214 memory: 6108 grad_norm: 5.5732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1492 loss: 2.1492 2022/07/22 21:17:52 - mmengine - INFO - Epoch(train) [28][2720/3757] lr: 1.0000e-02 eta: 17:39:11 time: 0.2296 data_time: 0.0267 memory: 6108 grad_norm: 5.6004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0300 loss: 2.0300 2022/07/22 21:17:57 - mmengine - INFO - Epoch(train) [28][2740/3757] lr: 1.0000e-02 eta: 17:39:07 time: 0.2450 data_time: 0.0250 memory: 6108 grad_norm: 5.5748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9912 loss: 1.9912 2022/07/22 21:18:03 - mmengine - INFO - Epoch(train) [28][2760/3757] lr: 1.0000e-02 eta: 17:39:05 time: 0.2819 data_time: 0.0148 memory: 6108 grad_norm: 5.7013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1305 loss: 2.1305 2022/07/22 21:18:07 - mmengine - INFO - Epoch(train) [28][2780/3757] lr: 1.0000e-02 eta: 17:39:00 time: 0.2262 data_time: 0.0272 memory: 6108 grad_norm: 5.6731 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0626 loss: 2.0626 2022/07/22 21:18:12 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 1.0000e-02 eta: 17:38:55 time: 0.2357 data_time: 0.0296 memory: 6108 grad_norm: 5.4371 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8863 loss: 1.8863 2022/07/22 21:18:16 - mmengine - INFO - Epoch(train) [28][2820/3757] lr: 1.0000e-02 eta: 17:38:50 time: 0.2224 data_time: 0.0212 memory: 6108 grad_norm: 5.4232 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9685 loss: 1.9685 2022/07/22 21:18:21 - mmengine - INFO - Epoch(train) [28][2840/3757] lr: 1.0000e-02 eta: 17:38:46 time: 0.2459 data_time: 0.0248 memory: 6108 grad_norm: 5.7413 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3858 loss: 2.3858 2022/07/22 21:18:26 - mmengine - INFO - Epoch(train) [28][2860/3757] lr: 1.0000e-02 eta: 17:38:41 time: 0.2256 data_time: 0.0213 memory: 6108 grad_norm: 5.8563 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9072 loss: 1.9072 2022/07/22 21:18:30 - mmengine - INFO - Epoch(train) [28][2880/3757] lr: 1.0000e-02 eta: 17:38:35 time: 0.2229 data_time: 0.0208 memory: 6108 grad_norm: 5.5604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9415 loss: 1.9415 2022/07/22 21:18:35 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 1.0000e-02 eta: 17:38:31 time: 0.2326 data_time: 0.0244 memory: 6108 grad_norm: 5.5774 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7636 loss: 1.7636 2022/07/22 21:18:40 - mmengine - INFO - Epoch(train) [28][2920/3757] lr: 1.0000e-02 eta: 17:38:27 time: 0.2521 data_time: 0.0245 memory: 6108 grad_norm: 5.5865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2719 loss: 2.2719 2022/07/22 21:18:44 - mmengine - INFO - Epoch(train) [28][2940/3757] lr: 1.0000e-02 eta: 17:38:22 time: 0.2214 data_time: 0.0205 memory: 6108 grad_norm: 5.6430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1230 loss: 2.1230 2022/07/22 21:18:49 - mmengine - INFO - Epoch(train) [28][2960/3757] lr: 1.0000e-02 eta: 17:38:17 time: 0.2288 data_time: 0.0211 memory: 6108 grad_norm: 5.5210 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0085 loss: 2.0085 2022/07/22 21:18:54 - mmengine - INFO - Epoch(train) [28][2980/3757] lr: 1.0000e-02 eta: 17:38:12 time: 0.2247 data_time: 0.0248 memory: 6108 grad_norm: 5.5440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0697 loss: 2.0697 2022/07/22 21:18:58 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 1.0000e-02 eta: 17:38:07 time: 0.2272 data_time: 0.0270 memory: 6108 grad_norm: 5.6239 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8777 loss: 1.8777 2022/07/22 21:19:03 - mmengine - INFO - Epoch(train) [28][3020/3757] lr: 1.0000e-02 eta: 17:38:02 time: 0.2394 data_time: 0.0316 memory: 6108 grad_norm: 5.5833 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9624 loss: 1.9624 2022/07/22 21:19:08 - mmengine - INFO - Epoch(train) [28][3040/3757] lr: 1.0000e-02 eta: 17:37:57 time: 0.2318 data_time: 0.0175 memory: 6108 grad_norm: 5.6183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2891 loss: 2.2891 2022/07/22 21:19:12 - mmengine - INFO - Epoch(train) [28][3060/3757] lr: 1.0000e-02 eta: 17:37:53 time: 0.2399 data_time: 0.0350 memory: 6108 grad_norm: 5.4899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8252 loss: 1.8252 2022/07/22 21:19:17 - mmengine - INFO - Epoch(train) [28][3080/3757] lr: 1.0000e-02 eta: 17:37:48 time: 0.2280 data_time: 0.0217 memory: 6108 grad_norm: 5.5319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0105 loss: 2.0105 2022/07/22 21:19:22 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 1.0000e-02 eta: 17:37:44 time: 0.2483 data_time: 0.0198 memory: 6108 grad_norm: 5.7440 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2252 loss: 2.2252 2022/07/22 21:19:27 - mmengine - INFO - Epoch(train) [28][3120/3757] lr: 1.0000e-02 eta: 17:37:40 time: 0.2478 data_time: 0.0561 memory: 6108 grad_norm: 5.7706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9300 loss: 1.9300 2022/07/22 21:19:31 - mmengine - INFO - Epoch(train) [28][3140/3757] lr: 1.0000e-02 eta: 17:37:35 time: 0.2286 data_time: 0.0282 memory: 6108 grad_norm: 5.7253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/07/22 21:19:36 - mmengine - INFO - Epoch(train) [28][3160/3757] lr: 1.0000e-02 eta: 17:37:30 time: 0.2232 data_time: 0.0182 memory: 6108 grad_norm: 5.3283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7893 loss: 1.7893 2022/07/22 21:19:41 - mmengine - INFO - Epoch(train) [28][3180/3757] lr: 1.0000e-02 eta: 17:37:26 time: 0.2464 data_time: 0.0255 memory: 6108 grad_norm: 5.4423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0092 loss: 2.0092 2022/07/22 21:19:45 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 1.0000e-02 eta: 17:37:21 time: 0.2254 data_time: 0.0224 memory: 6108 grad_norm: 5.6671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1334 loss: 2.1334 2022/07/22 21:19:50 - mmengine - INFO - Epoch(train) [28][3220/3757] lr: 1.0000e-02 eta: 17:37:16 time: 0.2374 data_time: 0.0367 memory: 6108 grad_norm: 5.4353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1399 loss: 2.1399 2022/07/22 21:19:55 - mmengine - INFO - Epoch(train) [28][3240/3757] lr: 1.0000e-02 eta: 17:37:11 time: 0.2269 data_time: 0.0194 memory: 6108 grad_norm: 5.4549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0467 loss: 2.0467 2022/07/22 21:20:00 - mmengine - INFO - Epoch(train) [28][3260/3757] lr: 1.0000e-02 eta: 17:37:07 time: 0.2486 data_time: 0.0265 memory: 6108 grad_norm: 5.7112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2303 loss: 2.2303 2022/07/22 21:20:04 - mmengine - INFO - Epoch(train) [28][3280/3757] lr: 1.0000e-02 eta: 17:37:03 time: 0.2363 data_time: 0.0194 memory: 6108 grad_norm: 5.5786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1566 loss: 2.1566 2022/07/22 21:20:09 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 1.0000e-02 eta: 17:36:58 time: 0.2357 data_time: 0.0170 memory: 6108 grad_norm: 5.6332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/07/22 21:20:14 - mmengine - INFO - Epoch(train) [28][3320/3757] lr: 1.0000e-02 eta: 17:36:53 time: 0.2302 data_time: 0.0225 memory: 6108 grad_norm: 5.8650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2256 loss: 2.2256 2022/07/22 21:20:18 - mmengine - INFO - Epoch(train) [28][3340/3757] lr: 1.0000e-02 eta: 17:36:48 time: 0.2276 data_time: 0.0200 memory: 6108 grad_norm: 5.8063 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1819 loss: 2.1819 2022/07/22 21:20:24 - mmengine - INFO - Epoch(train) [28][3360/3757] lr: 1.0000e-02 eta: 17:36:45 time: 0.2696 data_time: 0.0220 memory: 6108 grad_norm: 5.7192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1695 loss: 2.1695 2022/07/22 21:20:28 - mmengine - INFO - Epoch(train) [28][3380/3757] lr: 1.0000e-02 eta: 17:36:40 time: 0.2292 data_time: 0.0238 memory: 6108 grad_norm: 5.6923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9522 loss: 1.9522 2022/07/22 21:20:33 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 1.0000e-02 eta: 17:36:36 time: 0.2386 data_time: 0.0254 memory: 6108 grad_norm: 5.5470 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0008 loss: 2.0008 2022/07/22 21:20:38 - mmengine - INFO - Epoch(train) [28][3420/3757] lr: 1.0000e-02 eta: 17:36:31 time: 0.2248 data_time: 0.0234 memory: 6108 grad_norm: 5.6953 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5285 loss: 2.5285 2022/07/22 21:20:42 - mmengine - INFO - Epoch(train) [28][3440/3757] lr: 1.0000e-02 eta: 17:36:26 time: 0.2413 data_time: 0.0288 memory: 6108 grad_norm: 5.6691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2486 loss: 2.2486 2022/07/22 21:20:47 - mmengine - INFO - Epoch(train) [28][3460/3757] lr: 1.0000e-02 eta: 17:36:21 time: 0.2294 data_time: 0.0208 memory: 6108 grad_norm: 5.7113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9518 loss: 1.9518 2022/07/22 21:20:52 - mmengine - INFO - Epoch(train) [28][3480/3757] lr: 1.0000e-02 eta: 17:36:16 time: 0.2260 data_time: 0.0178 memory: 6108 grad_norm: 5.4901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/07/22 21:20:57 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 1.0000e-02 eta: 17:36:12 time: 0.2451 data_time: 0.0249 memory: 6108 grad_norm: 5.4297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9103 loss: 1.9103 2022/07/22 21:21:01 - mmengine - INFO - Epoch(train) [28][3520/3757] lr: 1.0000e-02 eta: 17:36:07 time: 0.2279 data_time: 0.0178 memory: 6108 grad_norm: 5.5276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9142 loss: 1.9142 2022/07/22 21:21:06 - mmengine - INFO - Epoch(train) [28][3540/3757] lr: 1.0000e-02 eta: 17:36:02 time: 0.2282 data_time: 0.0187 memory: 6108 grad_norm: 5.5390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7661 loss: 1.7661 2022/07/22 21:21:11 - mmengine - INFO - Epoch(train) [28][3560/3757] lr: 1.0000e-02 eta: 17:35:59 time: 0.2597 data_time: 0.0296 memory: 6108 grad_norm: 5.7319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9774 loss: 1.9774 2022/07/22 21:21:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:21:15 - mmengine - INFO - Epoch(train) [28][3580/3757] lr: 1.0000e-02 eta: 17:35:54 time: 0.2201 data_time: 0.0167 memory: 6108 grad_norm: 5.4668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2759 loss: 2.2759 2022/07/22 21:21:20 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 1.0000e-02 eta: 17:35:49 time: 0.2463 data_time: 0.0215 memory: 6108 grad_norm: 5.4245 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9309 loss: 1.9309 2022/07/22 21:21:25 - mmengine - INFO - Epoch(train) [28][3620/3757] lr: 1.0000e-02 eta: 17:35:45 time: 0.2322 data_time: 0.0221 memory: 6108 grad_norm: 5.7729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/07/22 21:21:30 - mmengine - INFO - Epoch(train) [28][3640/3757] lr: 1.0000e-02 eta: 17:35:40 time: 0.2418 data_time: 0.0247 memory: 6108 grad_norm: 5.8408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2883 loss: 2.2883 2022/07/22 21:21:34 - mmengine - INFO - Epoch(train) [28][3660/3757] lr: 1.0000e-02 eta: 17:35:35 time: 0.2266 data_time: 0.0302 memory: 6108 grad_norm: 5.6545 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2186 loss: 2.2186 2022/07/22 21:21:39 - mmengine - INFO - Epoch(train) [28][3680/3757] lr: 1.0000e-02 eta: 17:35:30 time: 0.2256 data_time: 0.0239 memory: 6108 grad_norm: 5.7242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7620 loss: 1.7620 2022/07/22 21:21:43 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 1.0000e-02 eta: 17:35:25 time: 0.2295 data_time: 0.0240 memory: 6108 grad_norm: 5.6427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1041 loss: 2.1041 2022/07/22 21:21:48 - mmengine - INFO - Epoch(train) [28][3720/3757] lr: 1.0000e-02 eta: 17:35:20 time: 0.2276 data_time: 0.0227 memory: 6108 grad_norm: 5.7345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2591 loss: 2.2591 2022/07/22 21:21:53 - mmengine - INFO - Epoch(train) [28][3740/3757] lr: 1.0000e-02 eta: 17:35:17 time: 0.2617 data_time: 0.0267 memory: 6108 grad_norm: 5.5576 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2035 loss: 2.2035 2022/07/22 21:21:56 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:21:56 - mmengine - INFO - Epoch(train) [28][3757/3757] lr: 1.0000e-02 eta: 17:35:17 time: 0.1914 data_time: 0.0138 memory: 6108 grad_norm: 5.4012 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.9834 loss: 1.9834 2022/07/22 21:22:02 - mmengine - INFO - Epoch(val) [28][20/310] eta: 0:01:22 time: 0.2851 data_time: 0.2051 memory: 1428 2022/07/22 21:22:06 - mmengine - INFO - Epoch(val) [28][40/310] eta: 0:00:48 time: 0.1811 data_time: 0.1060 memory: 1428 2022/07/22 21:22:10 - mmengine - INFO - Epoch(val) [28][60/310] eta: 0:00:55 time: 0.2206 data_time: 0.1427 memory: 1428 2022/07/22 21:22:14 - mmengine - INFO - Epoch(val) [28][80/310] eta: 0:00:44 time: 0.1920 data_time: 0.1162 memory: 1428 2022/07/22 21:22:19 - mmengine - INFO - Epoch(val) [28][100/310] eta: 0:00:48 time: 0.2295 data_time: 0.1550 memory: 1428 2022/07/22 21:22:23 - mmengine - INFO - Epoch(val) [28][120/310] eta: 0:00:39 time: 0.2060 data_time: 0.1279 memory: 1428 2022/07/22 21:22:28 - mmengine - INFO - Epoch(val) [28][140/310] eta: 0:00:44 time: 0.2619 data_time: 0.1887 memory: 1428 2022/07/22 21:22:32 - mmengine - INFO - Epoch(val) [28][160/310] eta: 0:00:27 time: 0.1856 data_time: 0.1139 memory: 1428 2022/07/22 21:22:37 - mmengine - INFO - Epoch(val) [28][180/310] eta: 0:00:33 time: 0.2567 data_time: 0.1827 memory: 1428 2022/07/22 21:22:41 - mmengine - INFO - Epoch(val) [28][200/310] eta: 0:00:20 time: 0.1857 data_time: 0.1133 memory: 1428 2022/07/22 21:22:45 - mmengine - INFO - Epoch(val) [28][220/310] eta: 0:00:19 time: 0.2192 data_time: 0.1443 memory: 1428 2022/07/22 21:22:49 - mmengine - INFO - Epoch(val) [28][240/310] eta: 0:00:13 time: 0.1898 data_time: 0.1141 memory: 1428 2022/07/22 21:22:53 - mmengine - INFO - Epoch(val) [28][260/310] eta: 0:00:11 time: 0.2348 data_time: 0.1584 memory: 1428 2022/07/22 21:22:57 - mmengine - INFO - Epoch(val) [28][280/310] eta: 0:00:06 time: 0.2031 data_time: 0.1248 memory: 1428 2022/07/22 21:23:02 - mmengine - INFO - Epoch(val) [28][300/310] eta: 0:00:02 time: 0.2015 data_time: 0.1256 memory: 1428 2022/07/22 21:23:05 - mmengine - INFO - Epoch(val) [28][310/310] acc/top1: 0.5553 acc/top5: 0.7970 acc/mean1: 0.5551 2022/07/22 21:23:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/07/22 21:23:09 - mmengine - INFO - The best checkpoint with 0.5553 acc/top1 at 29 epoch is saved to best_acc/top1_epoch_29.pth. 2022/07/22 21:23:14 - mmengine - INFO - Epoch(train) [29][20/3757] lr: 1.0000e-02 eta: 17:35:00 time: 0.2677 data_time: 0.0790 memory: 6108 grad_norm: 5.3910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2357 loss: 2.2357 2022/07/22 21:23:19 - mmengine - INFO - Epoch(train) [29][40/3757] lr: 1.0000e-02 eta: 17:34:55 time: 0.2365 data_time: 0.0318 memory: 6108 grad_norm: 5.7412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0179 loss: 2.0179 2022/07/22 21:23:24 - mmengine - INFO - Epoch(train) [29][60/3757] lr: 1.0000e-02 eta: 17:34:51 time: 0.2364 data_time: 0.0258 memory: 6108 grad_norm: 5.6029 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0556 loss: 2.0556 2022/07/22 21:23:28 - mmengine - INFO - Epoch(train) [29][80/3757] lr: 1.0000e-02 eta: 17:34:45 time: 0.2212 data_time: 0.0198 memory: 6108 grad_norm: 5.5179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9680 loss: 1.9680 2022/07/22 21:23:33 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 1.0000e-02 eta: 17:34:40 time: 0.2251 data_time: 0.0223 memory: 6108 grad_norm: 5.5854 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2139 loss: 2.2139 2022/07/22 21:23:37 - mmengine - INFO - Epoch(train) [29][120/3757] lr: 1.0000e-02 eta: 17:34:36 time: 0.2406 data_time: 0.0188 memory: 6108 grad_norm: 5.7819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0492 loss: 2.0492 2022/07/22 21:23:42 - mmengine - INFO - Epoch(train) [29][140/3757] lr: 1.0000e-02 eta: 17:34:32 time: 0.2395 data_time: 0.0240 memory: 6108 grad_norm: 5.5445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0149 loss: 2.0149 2022/07/22 21:23:47 - mmengine - INFO - Epoch(train) [29][160/3757] lr: 1.0000e-02 eta: 17:34:26 time: 0.2255 data_time: 0.0238 memory: 6108 grad_norm: 5.5748 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1194 loss: 2.1194 2022/07/22 21:23:51 - mmengine - INFO - Epoch(train) [29][180/3757] lr: 1.0000e-02 eta: 17:34:21 time: 0.2215 data_time: 0.0187 memory: 6108 grad_norm: 5.4822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8647 loss: 1.8647 2022/07/22 21:23:56 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 1.0000e-02 eta: 17:34:17 time: 0.2447 data_time: 0.0233 memory: 6108 grad_norm: 5.5485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1104 loss: 2.1104 2022/07/22 21:24:01 - mmengine - INFO - Epoch(train) [29][220/3757] lr: 1.0000e-02 eta: 17:34:12 time: 0.2327 data_time: 0.0204 memory: 6108 grad_norm: 5.5947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1226 loss: 2.1226 2022/07/22 21:24:05 - mmengine - INFO - Epoch(train) [29][240/3757] lr: 1.0000e-02 eta: 17:34:07 time: 0.2264 data_time: 0.0240 memory: 6108 grad_norm: 5.6210 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7582 loss: 1.7582 2022/07/22 21:24:10 - mmengine - INFO - Epoch(train) [29][260/3757] lr: 1.0000e-02 eta: 17:34:02 time: 0.2221 data_time: 0.0177 memory: 6108 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9408 loss: 1.9408 2022/07/22 21:24:15 - mmengine - INFO - Epoch(train) [29][280/3757] lr: 1.0000e-02 eta: 17:33:57 time: 0.2384 data_time: 0.0163 memory: 6108 grad_norm: 5.5775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0030 loss: 2.0030 2022/07/22 21:24:19 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 1.0000e-02 eta: 17:33:53 time: 0.2294 data_time: 0.0212 memory: 6108 grad_norm: 5.9029 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0791 loss: 2.0791 2022/07/22 21:24:24 - mmengine - INFO - Epoch(train) [29][320/3757] lr: 1.0000e-02 eta: 17:33:48 time: 0.2371 data_time: 0.0275 memory: 6108 grad_norm: 5.5668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1263 loss: 2.1263 2022/07/22 21:24:29 - mmengine - INFO - Epoch(train) [29][340/3757] lr: 1.0000e-02 eta: 17:33:44 time: 0.2496 data_time: 0.0177 memory: 6108 grad_norm: 5.6957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8189 loss: 1.8189 2022/07/22 21:24:33 - mmengine - INFO - Epoch(train) [29][360/3757] lr: 1.0000e-02 eta: 17:33:39 time: 0.2231 data_time: 0.0262 memory: 6108 grad_norm: 5.4277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3623 loss: 2.3623 2022/07/22 21:24:38 - mmengine - INFO - Epoch(train) [29][380/3757] lr: 1.0000e-02 eta: 17:33:34 time: 0.2237 data_time: 0.0230 memory: 6108 grad_norm: 5.5333 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9677 loss: 1.9677 2022/07/22 21:24:43 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 1.0000e-02 eta: 17:33:29 time: 0.2392 data_time: 0.0258 memory: 6108 grad_norm: 5.5723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9454 loss: 1.9454 2022/07/22 21:24:47 - mmengine - INFO - Epoch(train) [29][420/3757] lr: 1.0000e-02 eta: 17:33:24 time: 0.2211 data_time: 0.0202 memory: 6108 grad_norm: 5.5619 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0272 loss: 2.0272 2022/07/22 21:24:52 - mmengine - INFO - Epoch(train) [29][440/3757] lr: 1.0000e-02 eta: 17:33:19 time: 0.2242 data_time: 0.0270 memory: 6108 grad_norm: 5.5836 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0462 loss: 2.0462 2022/07/22 21:24:56 - mmengine - INFO - Epoch(train) [29][460/3757] lr: 1.0000e-02 eta: 17:33:14 time: 0.2327 data_time: 0.0208 memory: 6108 grad_norm: 5.7351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9054 loss: 1.9054 2022/07/22 21:25:01 - mmengine - INFO - Epoch(train) [29][480/3757] lr: 1.0000e-02 eta: 17:33:09 time: 0.2353 data_time: 0.0218 memory: 6108 grad_norm: 5.7903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7053 loss: 1.7053 2022/07/22 21:25:06 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 1.0000e-02 eta: 17:33:05 time: 0.2357 data_time: 0.0187 memory: 6108 grad_norm: 5.4546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0019 loss: 2.0019 2022/07/22 21:25:10 - mmengine - INFO - Epoch(train) [29][520/3757] lr: 1.0000e-02 eta: 17:33:00 time: 0.2257 data_time: 0.0289 memory: 6108 grad_norm: 5.6406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0803 loss: 2.0803 2022/07/22 21:25:15 - mmengine - INFO - Epoch(train) [29][540/3757] lr: 1.0000e-02 eta: 17:32:55 time: 0.2346 data_time: 0.0190 memory: 6108 grad_norm: 5.6337 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9905 loss: 1.9905 2022/07/22 21:25:19 - mmengine - INFO - Epoch(train) [29][560/3757] lr: 1.0000e-02 eta: 17:32:50 time: 0.2265 data_time: 0.0226 memory: 6108 grad_norm: 5.8137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2509 loss: 2.2509 2022/07/22 21:25:24 - mmengine - INFO - Epoch(train) [29][580/3757] lr: 1.0000e-02 eta: 17:32:45 time: 0.2342 data_time: 0.0213 memory: 6108 grad_norm: 5.6628 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0538 loss: 2.0538 2022/07/22 21:25:29 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 1.0000e-02 eta: 17:32:41 time: 0.2367 data_time: 0.0255 memory: 6108 grad_norm: 5.6647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1211 loss: 2.1211 2022/07/22 21:25:34 - mmengine - INFO - Epoch(train) [29][620/3757] lr: 1.0000e-02 eta: 17:32:36 time: 0.2384 data_time: 0.0187 memory: 6108 grad_norm: 5.7523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9862 loss: 1.9862 2022/07/22 21:25:38 - mmengine - INFO - Epoch(train) [29][640/3757] lr: 1.0000e-02 eta: 17:32:31 time: 0.2205 data_time: 0.0236 memory: 6108 grad_norm: 5.8029 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0216 loss: 2.0216 2022/07/22 21:25:43 - mmengine - INFO - Epoch(train) [29][660/3757] lr: 1.0000e-02 eta: 17:32:26 time: 0.2346 data_time: 0.0216 memory: 6108 grad_norm: 5.6879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9389 loss: 1.9389 2022/07/22 21:25:48 - mmengine - INFO - Epoch(train) [29][680/3757] lr: 1.0000e-02 eta: 17:32:23 time: 0.2529 data_time: 0.0559 memory: 6108 grad_norm: 5.6293 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2847 loss: 2.2847 2022/07/22 21:25:52 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 1.0000e-02 eta: 17:32:17 time: 0.2252 data_time: 0.0202 memory: 6108 grad_norm: 5.6458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1751 loss: 2.1751 2022/07/22 21:25:57 - mmengine - INFO - Epoch(train) [29][720/3757] lr: 1.0000e-02 eta: 17:32:13 time: 0.2323 data_time: 0.0236 memory: 6108 grad_norm: 5.7538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9267 loss: 1.9267 2022/07/22 21:26:02 - mmengine - INFO - Epoch(train) [29][740/3757] lr: 1.0000e-02 eta: 17:32:10 time: 0.2668 data_time: 0.0174 memory: 6108 grad_norm: 5.4999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1430 loss: 2.1430 2022/07/22 21:26:07 - mmengine - INFO - Epoch(train) [29][760/3757] lr: 1.0000e-02 eta: 17:32:05 time: 0.2266 data_time: 0.0215 memory: 6108 grad_norm: 5.4852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8210 loss: 1.8210 2022/07/22 21:26:12 - mmengine - INFO - Epoch(train) [29][780/3757] lr: 1.0000e-02 eta: 17:32:00 time: 0.2274 data_time: 0.0263 memory: 6108 grad_norm: 5.6005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0629 loss: 2.0629 2022/07/22 21:26:16 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 1.0000e-02 eta: 17:31:55 time: 0.2309 data_time: 0.0277 memory: 6108 grad_norm: 5.6214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0021 loss: 2.0021 2022/07/22 21:26:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:26:21 - mmengine - INFO - Epoch(train) [29][820/3757] lr: 1.0000e-02 eta: 17:31:50 time: 0.2315 data_time: 0.0252 memory: 6108 grad_norm: 5.7727 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8597 loss: 1.8597 2022/07/22 21:26:25 - mmengine - INFO - Epoch(train) [29][840/3757] lr: 1.0000e-02 eta: 17:31:45 time: 0.2233 data_time: 0.0223 memory: 6108 grad_norm: 5.8139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1426 loss: 2.1426 2022/07/22 21:26:30 - mmengine - INFO - Epoch(train) [29][860/3757] lr: 1.0000e-02 eta: 17:31:40 time: 0.2349 data_time: 0.0222 memory: 6108 grad_norm: 5.7412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9687 loss: 1.9687 2022/07/22 21:26:35 - mmengine - INFO - Epoch(train) [29][880/3757] lr: 1.0000e-02 eta: 17:31:35 time: 0.2266 data_time: 0.0225 memory: 6108 grad_norm: 5.5414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9078 loss: 1.9078 2022/07/22 21:26:39 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 1.0000e-02 eta: 17:31:30 time: 0.2364 data_time: 0.0236 memory: 6108 grad_norm: 5.5453 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9871 loss: 1.9871 2022/07/22 21:26:44 - mmengine - INFO - Epoch(train) [29][920/3757] lr: 1.0000e-02 eta: 17:31:26 time: 0.2405 data_time: 0.0290 memory: 6108 grad_norm: 5.6841 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1148 loss: 2.1148 2022/07/22 21:26:49 - mmengine - INFO - Epoch(train) [29][940/3757] lr: 1.0000e-02 eta: 17:31:21 time: 0.2272 data_time: 0.0258 memory: 6108 grad_norm: 5.7105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0716 loss: 2.0716 2022/07/22 21:26:53 - mmengine - INFO - Epoch(train) [29][960/3757] lr: 1.0000e-02 eta: 17:31:16 time: 0.2249 data_time: 0.0202 memory: 6108 grad_norm: 5.6106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9322 loss: 1.9322 2022/07/22 21:26:58 - mmengine - INFO - Epoch(train) [29][980/3757] lr: 1.0000e-02 eta: 17:31:11 time: 0.2249 data_time: 0.0218 memory: 6108 grad_norm: 5.7164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8164 loss: 1.8164 2022/07/22 21:27:03 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 1.0000e-02 eta: 17:31:07 time: 0.2517 data_time: 0.0238 memory: 6108 grad_norm: 5.6658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9113 loss: 1.9113 2022/07/22 21:27:07 - mmengine - INFO - Epoch(train) [29][1020/3757] lr: 1.0000e-02 eta: 17:31:03 time: 0.2389 data_time: 0.0217 memory: 6108 grad_norm: 5.4733 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/07/22 21:27:12 - mmengine - INFO - Epoch(train) [29][1040/3757] lr: 1.0000e-02 eta: 17:30:58 time: 0.2282 data_time: 0.0195 memory: 6108 grad_norm: 5.6352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1862 loss: 2.1862 2022/07/22 21:27:17 - mmengine - INFO - Epoch(train) [29][1060/3757] lr: 1.0000e-02 eta: 17:30:53 time: 0.2316 data_time: 0.0254 memory: 6108 grad_norm: 5.4190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8280 loss: 1.8280 2022/07/22 21:27:22 - mmengine - INFO - Epoch(train) [29][1080/3757] lr: 1.0000e-02 eta: 17:30:49 time: 0.2572 data_time: 0.0225 memory: 6108 grad_norm: 5.4898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5029 loss: 2.5029 2022/07/22 21:27:26 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 1.0000e-02 eta: 17:30:44 time: 0.2256 data_time: 0.0213 memory: 6108 grad_norm: 5.5372 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9473 loss: 1.9473 2022/07/22 21:27:32 - mmengine - INFO - Epoch(train) [29][1120/3757] lr: 1.0000e-02 eta: 17:30:41 time: 0.2690 data_time: 0.0218 memory: 6108 grad_norm: 5.7462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3280 loss: 2.3280 2022/07/22 21:27:36 - mmengine - INFO - Epoch(train) [29][1140/3757] lr: 1.0000e-02 eta: 17:30:36 time: 0.2221 data_time: 0.0201 memory: 6108 grad_norm: 5.6610 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0649 loss: 2.0649 2022/07/22 21:27:41 - mmengine - INFO - Epoch(train) [29][1160/3757] lr: 1.0000e-02 eta: 17:30:31 time: 0.2321 data_time: 0.0198 memory: 6108 grad_norm: 5.7497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8777 loss: 1.8777 2022/07/22 21:27:45 - mmengine - INFO - Epoch(train) [29][1180/3757] lr: 1.0000e-02 eta: 17:30:26 time: 0.2256 data_time: 0.0303 memory: 6108 grad_norm: 5.7424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0435 loss: 2.0435 2022/07/22 21:27:50 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 1.0000e-02 eta: 17:30:21 time: 0.2233 data_time: 0.0225 memory: 6108 grad_norm: 5.7168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2735 loss: 2.2735 2022/07/22 21:27:54 - mmengine - INFO - Epoch(train) [29][1220/3757] lr: 1.0000e-02 eta: 17:30:16 time: 0.2255 data_time: 0.0226 memory: 6108 grad_norm: 5.6274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2428 loss: 2.2428 2022/07/22 21:27:59 - mmengine - INFO - Epoch(train) [29][1240/3757] lr: 1.0000e-02 eta: 17:30:12 time: 0.2473 data_time: 0.0246 memory: 6108 grad_norm: 5.7441 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1505 loss: 2.1505 2022/07/22 21:28:04 - mmengine - INFO - Epoch(train) [29][1260/3757] lr: 1.0000e-02 eta: 17:30:08 time: 0.2490 data_time: 0.0206 memory: 6108 grad_norm: 5.8271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0805 loss: 2.0805 2022/07/22 21:28:09 - mmengine - INFO - Epoch(train) [29][1280/3757] lr: 1.0000e-02 eta: 17:30:03 time: 0.2290 data_time: 0.0223 memory: 6108 grad_norm: 5.6018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0151 loss: 2.0151 2022/07/22 21:28:14 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 1.0000e-02 eta: 17:29:59 time: 0.2408 data_time: 0.0218 memory: 6108 grad_norm: 5.5917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0098 loss: 2.0098 2022/07/22 21:28:18 - mmengine - INFO - Epoch(train) [29][1320/3757] lr: 1.0000e-02 eta: 17:29:53 time: 0.2244 data_time: 0.0184 memory: 6108 grad_norm: 5.6863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4570 loss: 2.4570 2022/07/22 21:28:23 - mmengine - INFO - Epoch(train) [29][1340/3757] lr: 1.0000e-02 eta: 17:29:50 time: 0.2564 data_time: 0.0212 memory: 6108 grad_norm: 5.5123 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9726 loss: 1.9726 2022/07/22 21:28:28 - mmengine - INFO - Epoch(train) [29][1360/3757] lr: 1.0000e-02 eta: 17:29:45 time: 0.2290 data_time: 0.0246 memory: 6108 grad_norm: 5.6142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9779 loss: 1.9779 2022/07/22 21:28:33 - mmengine - INFO - Epoch(train) [29][1380/3757] lr: 1.0000e-02 eta: 17:29:40 time: 0.2247 data_time: 0.0229 memory: 6108 grad_norm: 5.6807 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3239 loss: 2.3239 2022/07/22 21:28:37 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 1.0000e-02 eta: 17:29:35 time: 0.2300 data_time: 0.0212 memory: 6108 grad_norm: 5.8110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9558 loss: 1.9558 2022/07/22 21:28:42 - mmengine - INFO - Epoch(train) [29][1420/3757] lr: 1.0000e-02 eta: 17:29:31 time: 0.2452 data_time: 0.0231 memory: 6108 grad_norm: 5.7448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1439 loss: 2.1439 2022/07/22 21:28:47 - mmengine - INFO - Epoch(train) [29][1440/3757] lr: 1.0000e-02 eta: 17:29:26 time: 0.2285 data_time: 0.0220 memory: 6108 grad_norm: 5.7555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2511 loss: 2.2511 2022/07/22 21:28:51 - mmengine - INFO - Epoch(train) [29][1460/3757] lr: 1.0000e-02 eta: 17:29:21 time: 0.2240 data_time: 0.0193 memory: 6108 grad_norm: 5.5163 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1573 loss: 2.1573 2022/07/22 21:28:56 - mmengine - INFO - Epoch(train) [29][1480/3757] lr: 1.0000e-02 eta: 17:29:16 time: 0.2329 data_time: 0.0251 memory: 6108 grad_norm: 5.7659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1460 loss: 2.1460 2022/07/22 21:29:01 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 1.0000e-02 eta: 17:29:12 time: 0.2412 data_time: 0.0232 memory: 6108 grad_norm: 5.7362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9493 loss: 1.9493 2022/07/22 21:29:05 - mmengine - INFO - Epoch(train) [29][1520/3757] lr: 1.0000e-02 eta: 17:29:07 time: 0.2311 data_time: 0.0172 memory: 6108 grad_norm: 5.5989 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0482 loss: 2.0482 2022/07/22 21:29:10 - mmengine - INFO - Epoch(train) [29][1540/3757] lr: 1.0000e-02 eta: 17:29:01 time: 0.2220 data_time: 0.0197 memory: 6108 grad_norm: 5.5686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0463 loss: 2.0463 2022/07/22 21:29:14 - mmengine - INFO - Epoch(train) [29][1560/3757] lr: 1.0000e-02 eta: 17:28:56 time: 0.2257 data_time: 0.0246 memory: 6108 grad_norm: 5.7097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0862 loss: 2.0862 2022/07/22 21:29:19 - mmengine - INFO - Epoch(train) [29][1580/3757] lr: 1.0000e-02 eta: 17:28:51 time: 0.2251 data_time: 0.0216 memory: 6108 grad_norm: 5.8074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1085 loss: 2.1085 2022/07/22 21:29:24 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 1.0000e-02 eta: 17:28:47 time: 0.2390 data_time: 0.0205 memory: 6108 grad_norm: 5.7599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9554 loss: 1.9554 2022/07/22 21:29:28 - mmengine - INFO - Epoch(train) [29][1620/3757] lr: 1.0000e-02 eta: 17:28:42 time: 0.2252 data_time: 0.0207 memory: 6108 grad_norm: 5.6918 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1359 loss: 2.1359 2022/07/22 21:29:33 - mmengine - INFO - Epoch(train) [29][1640/3757] lr: 1.0000e-02 eta: 17:28:37 time: 0.2258 data_time: 0.0210 memory: 6108 grad_norm: 5.7414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0865 loss: 2.0865 2022/07/22 21:29:37 - mmengine - INFO - Epoch(train) [29][1660/3757] lr: 1.0000e-02 eta: 17:28:32 time: 0.2391 data_time: 0.0236 memory: 6108 grad_norm: 5.5777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8765 loss: 1.8765 2022/07/22 21:29:42 - mmengine - INFO - Epoch(train) [29][1680/3757] lr: 1.0000e-02 eta: 17:28:28 time: 0.2349 data_time: 0.0260 memory: 6108 grad_norm: 5.6278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2118 loss: 2.2118 2022/07/22 21:29:47 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 1.0000e-02 eta: 17:28:22 time: 0.2244 data_time: 0.0260 memory: 6108 grad_norm: 5.6086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1020 loss: 2.1020 2022/07/22 21:29:51 - mmengine - INFO - Epoch(train) [29][1720/3757] lr: 1.0000e-02 eta: 17:28:17 time: 0.2253 data_time: 0.0248 memory: 6108 grad_norm: 5.4910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7922 loss: 1.7922 2022/07/22 21:29:56 - mmengine - INFO - Epoch(train) [29][1740/3757] lr: 1.0000e-02 eta: 17:28:12 time: 0.2244 data_time: 0.0211 memory: 6108 grad_norm: 5.6495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9827 loss: 1.9827 2022/07/22 21:30:01 - mmengine - INFO - Epoch(train) [29][1760/3757] lr: 1.0000e-02 eta: 17:28:08 time: 0.2456 data_time: 0.0249 memory: 6108 grad_norm: 5.4737 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7850 loss: 1.7850 2022/07/22 21:30:05 - mmengine - INFO - Epoch(train) [29][1780/3757] lr: 1.0000e-02 eta: 17:28:03 time: 0.2245 data_time: 0.0241 memory: 6108 grad_norm: 5.5568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9639 loss: 1.9639 2022/07/22 21:30:10 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 1.0000e-02 eta: 17:27:58 time: 0.2276 data_time: 0.0227 memory: 6108 grad_norm: 5.7640 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0684 loss: 2.0684 2022/07/22 21:30:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:30:14 - mmengine - INFO - Epoch(train) [29][1820/3757] lr: 1.0000e-02 eta: 17:27:53 time: 0.2313 data_time: 0.0227 memory: 6108 grad_norm: 5.6733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1642 loss: 2.1642 2022/07/22 21:30:19 - mmengine - INFO - Epoch(train) [29][1840/3757] lr: 1.0000e-02 eta: 17:27:48 time: 0.2225 data_time: 0.0203 memory: 6108 grad_norm: 5.7727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1123 loss: 2.1123 2022/07/22 21:30:23 - mmengine - INFO - Epoch(train) [29][1860/3757] lr: 1.0000e-02 eta: 17:27:43 time: 0.2378 data_time: 0.0253 memory: 6108 grad_norm: 5.5307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2027 loss: 2.2027 2022/07/22 21:30:28 - mmengine - INFO - Epoch(train) [29][1880/3757] lr: 1.0000e-02 eta: 17:27:38 time: 0.2283 data_time: 0.0196 memory: 6108 grad_norm: 5.6560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0371 loss: 2.0371 2022/07/22 21:30:33 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 1.0000e-02 eta: 17:27:34 time: 0.2357 data_time: 0.0253 memory: 6108 grad_norm: 5.4970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/07/22 21:30:37 - mmengine - INFO - Epoch(train) [29][1920/3757] lr: 1.0000e-02 eta: 17:27:29 time: 0.2271 data_time: 0.0206 memory: 6108 grad_norm: 5.5329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3453 loss: 2.3453 2022/07/22 21:30:42 - mmengine - INFO - Epoch(train) [29][1940/3757] lr: 1.0000e-02 eta: 17:27:24 time: 0.2408 data_time: 0.0211 memory: 6108 grad_norm: 5.5906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7972 loss: 1.7972 2022/07/22 21:30:47 - mmengine - INFO - Epoch(train) [29][1960/3757] lr: 1.0000e-02 eta: 17:27:19 time: 0.2269 data_time: 0.0215 memory: 6108 grad_norm: 5.7096 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.3430 loss: 2.3430 2022/07/22 21:30:51 - mmengine - INFO - Epoch(train) [29][1980/3757] lr: 1.0000e-02 eta: 17:27:15 time: 0.2367 data_time: 0.0224 memory: 6108 grad_norm: 5.5778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9332 loss: 1.9332 2022/07/22 21:30:57 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 1.0000e-02 eta: 17:27:11 time: 0.2563 data_time: 0.0221 memory: 6108 grad_norm: 5.6062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2542 loss: 2.2542 2022/07/22 21:31:01 - mmengine - INFO - Epoch(train) [29][2020/3757] lr: 1.0000e-02 eta: 17:27:06 time: 0.2332 data_time: 0.0229 memory: 6108 grad_norm: 5.6774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8897 loss: 1.8897 2022/07/22 21:31:06 - mmengine - INFO - Epoch(train) [29][2040/3757] lr: 1.0000e-02 eta: 17:27:01 time: 0.2256 data_time: 0.0243 memory: 6108 grad_norm: 5.8208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1489 loss: 2.1489 2022/07/22 21:31:10 - mmengine - INFO - Epoch(train) [29][2060/3757] lr: 1.0000e-02 eta: 17:26:56 time: 0.2219 data_time: 0.0213 memory: 6108 grad_norm: 5.5186 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3345 loss: 2.3345 2022/07/22 21:31:15 - mmengine - INFO - Epoch(train) [29][2080/3757] lr: 1.0000e-02 eta: 17:26:51 time: 0.2298 data_time: 0.0203 memory: 6108 grad_norm: 5.6215 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0688 loss: 2.0688 2022/07/22 21:31:19 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 1.0000e-02 eta: 17:26:46 time: 0.2235 data_time: 0.0199 memory: 6108 grad_norm: 5.8374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2730 loss: 2.2730 2022/07/22 21:31:25 - mmengine - INFO - Epoch(train) [29][2120/3757] lr: 1.0000e-02 eta: 17:26:44 time: 0.2864 data_time: 0.0193 memory: 6108 grad_norm: 5.6830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9465 loss: 1.9465 2022/07/22 21:31:30 - mmengine - INFO - Epoch(train) [29][2140/3757] lr: 1.0000e-02 eta: 17:26:39 time: 0.2265 data_time: 0.0295 memory: 6108 grad_norm: 5.6661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1769 loss: 2.1769 2022/07/22 21:31:34 - mmengine - INFO - Epoch(train) [29][2160/3757] lr: 1.0000e-02 eta: 17:26:34 time: 0.2342 data_time: 0.0220 memory: 6108 grad_norm: 5.5740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1059 loss: 2.1059 2022/07/22 21:31:39 - mmengine - INFO - Epoch(train) [29][2180/3757] lr: 1.0000e-02 eta: 17:26:29 time: 0.2300 data_time: 0.0188 memory: 6108 grad_norm: 5.6643 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8420 loss: 1.8420 2022/07/22 21:31:44 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 1.0000e-02 eta: 17:26:25 time: 0.2458 data_time: 0.0233 memory: 6108 grad_norm: 5.6547 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1444 loss: 2.1444 2022/07/22 21:31:48 - mmengine - INFO - Epoch(train) [29][2220/3757] lr: 1.0000e-02 eta: 17:26:20 time: 0.2276 data_time: 0.0207 memory: 6108 grad_norm: 5.6447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0738 loss: 2.0738 2022/07/22 21:31:53 - mmengine - INFO - Epoch(train) [29][2240/3757] lr: 1.0000e-02 eta: 17:26:15 time: 0.2284 data_time: 0.0295 memory: 6108 grad_norm: 5.6165 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0421 loss: 2.0421 2022/07/22 21:31:57 - mmengine - INFO - Epoch(train) [29][2260/3757] lr: 1.0000e-02 eta: 17:26:10 time: 0.2224 data_time: 0.0217 memory: 6108 grad_norm: 5.5458 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3144 loss: 2.3144 2022/07/22 21:32:02 - mmengine - INFO - Epoch(train) [29][2280/3757] lr: 1.0000e-02 eta: 17:26:06 time: 0.2500 data_time: 0.0324 memory: 6108 grad_norm: 5.7039 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9672 loss: 1.9672 2022/07/22 21:32:07 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 1.0000e-02 eta: 17:26:02 time: 0.2386 data_time: 0.0337 memory: 6108 grad_norm: 5.8204 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1789 loss: 2.1789 2022/07/22 21:32:12 - mmengine - INFO - Epoch(train) [29][2320/3757] lr: 1.0000e-02 eta: 17:25:57 time: 0.2253 data_time: 0.0268 memory: 6108 grad_norm: 5.8044 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3676 loss: 2.3676 2022/07/22 21:32:16 - mmengine - INFO - Epoch(train) [29][2340/3757] lr: 1.0000e-02 eta: 17:25:51 time: 0.2249 data_time: 0.0180 memory: 6108 grad_norm: 5.6560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1299 loss: 2.1299 2022/07/22 21:32:22 - mmengine - INFO - Epoch(train) [29][2360/3757] lr: 1.0000e-02 eta: 17:25:49 time: 0.2875 data_time: 0.0515 memory: 6108 grad_norm: 5.5752 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1107 loss: 2.1107 2022/07/22 21:32:26 - mmengine - INFO - Epoch(train) [29][2380/3757] lr: 1.0000e-02 eta: 17:25:44 time: 0.2210 data_time: 0.0227 memory: 6108 grad_norm: 5.7395 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1617 loss: 2.1617 2022/07/22 21:32:31 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 1.0000e-02 eta: 17:25:39 time: 0.2256 data_time: 0.0224 memory: 6108 grad_norm: 5.6164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9584 loss: 1.9584 2022/07/22 21:32:35 - mmengine - INFO - Epoch(train) [29][2420/3757] lr: 1.0000e-02 eta: 17:25:34 time: 0.2243 data_time: 0.0206 memory: 6108 grad_norm: 5.5223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7124 loss: 1.7124 2022/07/22 21:32:40 - mmengine - INFO - Epoch(train) [29][2440/3757] lr: 1.0000e-02 eta: 17:25:29 time: 0.2380 data_time: 0.0246 memory: 6108 grad_norm: 5.5490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1871 loss: 2.1871 2022/07/22 21:32:45 - mmengine - INFO - Epoch(train) [29][2460/3757] lr: 1.0000e-02 eta: 17:25:26 time: 0.2530 data_time: 0.0196 memory: 6108 grad_norm: 5.5795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9364 loss: 1.9364 2022/07/22 21:32:50 - mmengine - INFO - Epoch(train) [29][2480/3757] lr: 1.0000e-02 eta: 17:25:20 time: 0.2249 data_time: 0.0186 memory: 6108 grad_norm: 5.5307 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7843 loss: 1.7843 2022/07/22 21:32:55 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 1.0000e-02 eta: 17:25:16 time: 0.2449 data_time: 0.0207 memory: 6108 grad_norm: 5.6101 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9152 loss: 1.9152 2022/07/22 21:32:59 - mmengine - INFO - Epoch(train) [29][2520/3757] lr: 1.0000e-02 eta: 17:25:12 time: 0.2352 data_time: 0.0275 memory: 6108 grad_norm: 5.6018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/07/22 21:33:04 - mmengine - INFO - Epoch(train) [29][2540/3757] lr: 1.0000e-02 eta: 17:25:07 time: 0.2395 data_time: 0.0213 memory: 6108 grad_norm: 5.6530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0249 loss: 2.0249 2022/07/22 21:33:09 - mmengine - INFO - Epoch(train) [29][2560/3757] lr: 1.0000e-02 eta: 17:25:02 time: 0.2285 data_time: 0.0236 memory: 6108 grad_norm: 5.7609 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2458 loss: 2.2458 2022/07/22 21:33:13 - mmengine - INFO - Epoch(train) [29][2580/3757] lr: 1.0000e-02 eta: 17:24:57 time: 0.2306 data_time: 0.0252 memory: 6108 grad_norm: 5.7634 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9247 loss: 1.9247 2022/07/22 21:33:18 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 1.0000e-02 eta: 17:24:52 time: 0.2236 data_time: 0.0180 memory: 6108 grad_norm: 5.5379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0131 loss: 2.0131 2022/07/22 21:33:23 - mmengine - INFO - Epoch(train) [29][2620/3757] lr: 1.0000e-02 eta: 17:24:48 time: 0.2322 data_time: 0.0246 memory: 6108 grad_norm: 5.5859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2829 loss: 2.2829 2022/07/22 21:33:27 - mmengine - INFO - Epoch(train) [29][2640/3757] lr: 1.0000e-02 eta: 17:24:42 time: 0.2268 data_time: 0.0203 memory: 6108 grad_norm: 5.5174 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0580 loss: 2.0580 2022/07/22 21:33:32 - mmengine - INFO - Epoch(train) [29][2660/3757] lr: 1.0000e-02 eta: 17:24:37 time: 0.2259 data_time: 0.0204 memory: 6108 grad_norm: 5.5610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1986 loss: 2.1986 2022/07/22 21:33:36 - mmengine - INFO - Epoch(train) [29][2680/3757] lr: 1.0000e-02 eta: 17:24:32 time: 0.2291 data_time: 0.0245 memory: 6108 grad_norm: 5.5248 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9243 loss: 1.9243 2022/07/22 21:33:41 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 1.0000e-02 eta: 17:24:29 time: 0.2540 data_time: 0.0174 memory: 6108 grad_norm: 5.8033 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1023 loss: 2.1023 2022/07/22 21:33:46 - mmengine - INFO - Epoch(train) [29][2720/3757] lr: 1.0000e-02 eta: 17:24:23 time: 0.2179 data_time: 0.0217 memory: 6108 grad_norm: 5.5465 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1955 loss: 2.1955 2022/07/22 21:33:50 - mmengine - INFO - Epoch(train) [29][2740/3757] lr: 1.0000e-02 eta: 17:24:18 time: 0.2227 data_time: 0.0217 memory: 6108 grad_norm: 5.7676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1531 loss: 2.1531 2022/07/22 21:33:55 - mmengine - INFO - Epoch(train) [29][2760/3757] lr: 1.0000e-02 eta: 17:24:13 time: 0.2250 data_time: 0.0197 memory: 6108 grad_norm: 5.3978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0258 loss: 2.0258 2022/07/22 21:33:59 - mmengine - INFO - Epoch(train) [29][2780/3757] lr: 1.0000e-02 eta: 17:24:08 time: 0.2339 data_time: 0.0221 memory: 6108 grad_norm: 5.5397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0116 loss: 2.0116 2022/07/22 21:34:04 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 1.0000e-02 eta: 17:24:04 time: 0.2437 data_time: 0.0248 memory: 6108 grad_norm: 5.5359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1787 loss: 2.1787 2022/07/22 21:34:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:34:09 - mmengine - INFO - Epoch(train) [29][2820/3757] lr: 1.0000e-02 eta: 17:23:59 time: 0.2245 data_time: 0.0221 memory: 6108 grad_norm: 5.6386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2480 loss: 2.2480 2022/07/22 21:34:13 - mmengine - INFO - Epoch(train) [29][2840/3757] lr: 1.0000e-02 eta: 17:23:54 time: 0.2301 data_time: 0.0189 memory: 6108 grad_norm: 5.6755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7701 loss: 1.7701 2022/07/22 21:34:18 - mmengine - INFO - Epoch(train) [29][2860/3757] lr: 1.0000e-02 eta: 17:23:49 time: 0.2328 data_time: 0.0273 memory: 6108 grad_norm: 5.5940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9806 loss: 1.9806 2022/07/22 21:34:23 - mmengine - INFO - Epoch(train) [29][2880/3757] lr: 1.0000e-02 eta: 17:23:45 time: 0.2381 data_time: 0.0230 memory: 6108 grad_norm: 5.4440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3235 loss: 2.3235 2022/07/22 21:34:28 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 1.0000e-02 eta: 17:23:41 time: 0.2542 data_time: 0.0187 memory: 6108 grad_norm: 5.7724 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4288 loss: 2.4288 2022/07/22 21:34:32 - mmengine - INFO - Epoch(train) [29][2920/3757] lr: 1.0000e-02 eta: 17:23:36 time: 0.2262 data_time: 0.0207 memory: 6108 grad_norm: 5.5194 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0106 loss: 2.0106 2022/07/22 21:34:37 - mmengine - INFO - Epoch(train) [29][2940/3757] lr: 1.0000e-02 eta: 17:23:31 time: 0.2250 data_time: 0.0229 memory: 6108 grad_norm: 5.5205 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1201 loss: 2.1201 2022/07/22 21:34:42 - mmengine - INFO - Epoch(train) [29][2960/3757] lr: 1.0000e-02 eta: 17:23:27 time: 0.2460 data_time: 0.0215 memory: 6108 grad_norm: 5.8425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1351 loss: 2.1351 2022/07/22 21:34:46 - mmengine - INFO - Epoch(train) [29][2980/3757] lr: 1.0000e-02 eta: 17:23:22 time: 0.2263 data_time: 0.0241 memory: 6108 grad_norm: 5.6617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/07/22 21:34:51 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 1.0000e-02 eta: 17:23:17 time: 0.2247 data_time: 0.0236 memory: 6108 grad_norm: 5.5336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2357 loss: 2.2357 2022/07/22 21:34:56 - mmengine - INFO - Epoch(train) [29][3020/3757] lr: 1.0000e-02 eta: 17:23:12 time: 0.2292 data_time: 0.0199 memory: 6108 grad_norm: 5.5662 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9252 loss: 1.9252 2022/07/22 21:35:00 - mmengine - INFO - Epoch(train) [29][3040/3757] lr: 1.0000e-02 eta: 17:23:08 time: 0.2469 data_time: 0.0212 memory: 6108 grad_norm: 5.7220 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0589 loss: 2.0589 2022/07/22 21:35:05 - mmengine - INFO - Epoch(train) [29][3060/3757] lr: 1.0000e-02 eta: 17:23:03 time: 0.2436 data_time: 0.0198 memory: 6108 grad_norm: 5.5377 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9046 loss: 1.9046 2022/07/22 21:35:10 - mmengine - INFO - Epoch(train) [29][3080/3757] lr: 1.0000e-02 eta: 17:22:59 time: 0.2458 data_time: 0.0187 memory: 6108 grad_norm: 5.4077 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0423 loss: 2.0423 2022/07/22 21:35:15 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 1.0000e-02 eta: 17:22:54 time: 0.2266 data_time: 0.0281 memory: 6108 grad_norm: 5.4952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8696 loss: 1.8696 2022/07/22 21:35:20 - mmengine - INFO - Epoch(train) [29][3120/3757] lr: 1.0000e-02 eta: 17:22:50 time: 0.2442 data_time: 0.0231 memory: 6108 grad_norm: 5.5835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/07/22 21:35:25 - mmengine - INFO - Epoch(train) [29][3140/3757] lr: 1.0000e-02 eta: 17:22:46 time: 0.2469 data_time: 0.0293 memory: 6108 grad_norm: 5.5427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8909 loss: 1.8909 2022/07/22 21:35:29 - mmengine - INFO - Epoch(train) [29][3160/3757] lr: 1.0000e-02 eta: 17:22:42 time: 0.2402 data_time: 0.0261 memory: 6108 grad_norm: 5.6051 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9155 loss: 1.9155 2022/07/22 21:35:34 - mmengine - INFO - Epoch(train) [29][3180/3757] lr: 1.0000e-02 eta: 17:22:38 time: 0.2457 data_time: 0.0225 memory: 6108 grad_norm: 5.6239 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1513 loss: 2.1513 2022/07/22 21:35:39 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 1.0000e-02 eta: 17:22:33 time: 0.2273 data_time: 0.0250 memory: 6108 grad_norm: 5.7236 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1569 loss: 2.1569 2022/07/22 21:35:44 - mmengine - INFO - Epoch(train) [29][3220/3757] lr: 1.0000e-02 eta: 17:22:28 time: 0.2428 data_time: 0.0269 memory: 6108 grad_norm: 5.7336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1944 loss: 2.1944 2022/07/22 21:35:49 - mmengine - INFO - Epoch(train) [29][3240/3757] lr: 1.0000e-02 eta: 17:22:24 time: 0.2356 data_time: 0.0187 memory: 6108 grad_norm: 5.7148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9020 loss: 1.9020 2022/07/22 21:35:53 - mmengine - INFO - Epoch(train) [29][3260/3757] lr: 1.0000e-02 eta: 17:22:19 time: 0.2283 data_time: 0.0201 memory: 6108 grad_norm: 5.3686 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8917 loss: 1.8917 2022/07/22 21:35:58 - mmengine - INFO - Epoch(train) [29][3280/3757] lr: 1.0000e-02 eta: 17:22:14 time: 0.2351 data_time: 0.0247 memory: 6108 grad_norm: 5.4455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1778 loss: 2.1778 2022/07/22 21:36:03 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 1.0000e-02 eta: 17:22:10 time: 0.2470 data_time: 0.0244 memory: 6108 grad_norm: 5.7302 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9116 loss: 1.9116 2022/07/22 21:36:07 - mmengine - INFO - Epoch(train) [29][3320/3757] lr: 1.0000e-02 eta: 17:22:05 time: 0.2282 data_time: 0.0241 memory: 6108 grad_norm: 5.7509 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8098 loss: 1.8098 2022/07/22 21:36:12 - mmengine - INFO - Epoch(train) [29][3340/3757] lr: 1.0000e-02 eta: 17:22:00 time: 0.2292 data_time: 0.0233 memory: 6108 grad_norm: 5.5869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7942 loss: 1.7942 2022/07/22 21:36:17 - mmengine - INFO - Epoch(train) [29][3360/3757] lr: 1.0000e-02 eta: 17:21:56 time: 0.2402 data_time: 0.0425 memory: 6108 grad_norm: 5.5492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0071 loss: 2.0071 2022/07/22 21:36:22 - mmengine - INFO - Epoch(train) [29][3380/3757] lr: 1.0000e-02 eta: 17:21:52 time: 0.2412 data_time: 0.0174 memory: 6108 grad_norm: 5.6329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0951 loss: 2.0951 2022/07/22 21:36:26 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 1.0000e-02 eta: 17:21:46 time: 0.2191 data_time: 0.0203 memory: 6108 grad_norm: 5.4481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0403 loss: 2.0403 2022/07/22 21:36:30 - mmengine - INFO - Epoch(train) [29][3420/3757] lr: 1.0000e-02 eta: 17:21:41 time: 0.2224 data_time: 0.0199 memory: 6108 grad_norm: 5.5639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7849 loss: 1.7849 2022/07/22 21:36:35 - mmengine - INFO - Epoch(train) [29][3440/3757] lr: 1.0000e-02 eta: 17:21:36 time: 0.2269 data_time: 0.0240 memory: 6108 grad_norm: 5.4727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0679 loss: 2.0679 2022/07/22 21:36:40 - mmengine - INFO - Epoch(train) [29][3460/3757] lr: 1.0000e-02 eta: 17:21:32 time: 0.2415 data_time: 0.0316 memory: 6108 grad_norm: 5.4538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0391 loss: 2.0391 2022/07/22 21:36:45 - mmengine - INFO - Epoch(train) [29][3480/3757] lr: 1.0000e-02 eta: 17:21:28 time: 0.2562 data_time: 0.0228 memory: 6108 grad_norm: 5.5058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8941 loss: 1.8941 2022/07/22 21:36:50 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 1.0000e-02 eta: 17:21:23 time: 0.2244 data_time: 0.0202 memory: 6108 grad_norm: 5.4320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1383 loss: 2.1383 2022/07/22 21:36:54 - mmengine - INFO - Epoch(train) [29][3520/3757] lr: 1.0000e-02 eta: 17:21:18 time: 0.2246 data_time: 0.0226 memory: 6108 grad_norm: 5.6377 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0248 loss: 2.0248 2022/07/22 21:36:59 - mmengine - INFO - Epoch(train) [29][3540/3757] lr: 1.0000e-02 eta: 17:21:13 time: 0.2303 data_time: 0.0220 memory: 6108 grad_norm: 5.6865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0514 loss: 2.0514 2022/07/22 21:37:03 - mmengine - INFO - Epoch(train) [29][3560/3757] lr: 1.0000e-02 eta: 17:21:08 time: 0.2363 data_time: 0.0180 memory: 6108 grad_norm: 5.6050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0204 loss: 2.0204 2022/07/22 21:37:08 - mmengine - INFO - Epoch(train) [29][3580/3757] lr: 1.0000e-02 eta: 17:21:03 time: 0.2272 data_time: 0.0280 memory: 6108 grad_norm: 5.5413 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0227 loss: 2.0227 2022/07/22 21:37:13 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 1.0000e-02 eta: 17:20:59 time: 0.2360 data_time: 0.0266 memory: 6108 grad_norm: 5.6853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9212 loss: 1.9212 2022/07/22 21:37:17 - mmengine - INFO - Epoch(train) [29][3620/3757] lr: 1.0000e-02 eta: 17:20:54 time: 0.2323 data_time: 0.0179 memory: 6108 grad_norm: 5.6978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1414 loss: 2.1414 2022/07/22 21:37:22 - mmengine - INFO - Epoch(train) [29][3640/3757] lr: 1.0000e-02 eta: 17:20:49 time: 0.2362 data_time: 0.0236 memory: 6108 grad_norm: 5.7002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9924 loss: 1.9924 2022/07/22 21:37:27 - mmengine - INFO - Epoch(train) [29][3660/3757] lr: 1.0000e-02 eta: 17:20:45 time: 0.2389 data_time: 0.0218 memory: 6108 grad_norm: 5.6745 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1160 loss: 2.1160 2022/07/22 21:37:31 - mmengine - INFO - Epoch(train) [29][3680/3757] lr: 1.0000e-02 eta: 17:20:40 time: 0.2291 data_time: 0.0211 memory: 6108 grad_norm: 5.6193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1119 loss: 2.1119 2022/07/22 21:37:36 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 1.0000e-02 eta: 17:20:35 time: 0.2318 data_time: 0.0211 memory: 6108 grad_norm: 5.7388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1778 loss: 2.1778 2022/07/22 21:37:42 - mmengine - INFO - Epoch(train) [29][3720/3757] lr: 1.0000e-02 eta: 17:20:32 time: 0.2724 data_time: 0.0244 memory: 6108 grad_norm: 5.5556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0521 loss: 2.0521 2022/07/22 21:37:46 - mmengine - INFO - Epoch(train) [29][3740/3757] lr: 1.0000e-02 eta: 17:20:27 time: 0.2191 data_time: 0.0221 memory: 6108 grad_norm: 5.4878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9305 loss: 1.9305 2022/07/22 21:37:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:37:49 - mmengine - INFO - Epoch(train) [29][3757/3757] lr: 1.0000e-02 eta: 17:20:27 time: 0.1922 data_time: 0.0189 memory: 6108 grad_norm: 5.4850 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1322 loss: 2.1322 2022/07/22 21:37:55 - mmengine - INFO - Epoch(val) [29][20/310] eta: 0:01:21 time: 0.2802 data_time: 0.2047 memory: 1428 2022/07/22 21:37:58 - mmengine - INFO - Epoch(val) [29][40/310] eta: 0:00:49 time: 0.1826 data_time: 0.1083 memory: 1428 2022/07/22 21:38:03 - mmengine - INFO - Epoch(val) [29][60/310] eta: 0:00:57 time: 0.2281 data_time: 0.1496 memory: 1428 2022/07/22 21:38:08 - mmengine - INFO - Epoch(val) [29][80/310] eta: 0:00:56 time: 0.2444 data_time: 0.1661 memory: 1428 2022/07/22 21:38:12 - mmengine - INFO - Epoch(val) [29][100/310] eta: 0:00:45 time: 0.2149 data_time: 0.1367 memory: 1428 2022/07/22 21:38:17 - mmengine - INFO - Epoch(val) [29][120/310] eta: 0:00:45 time: 0.2384 data_time: 0.1654 memory: 1428 2022/07/22 21:38:21 - mmengine - INFO - Epoch(val) [29][140/310] eta: 0:00:32 time: 0.1893 data_time: 0.1127 memory: 1428 2022/07/22 21:38:25 - mmengine - INFO - Epoch(val) [29][160/310] eta: 0:00:35 time: 0.2371 data_time: 0.1628 memory: 1428 2022/07/22 21:38:29 - mmengine - INFO - Epoch(val) [29][180/310] eta: 0:00:25 time: 0.1937 data_time: 0.1172 memory: 1428 2022/07/22 21:38:34 - mmengine - INFO - Epoch(val) [29][200/310] eta: 0:00:24 time: 0.2270 data_time: 0.1388 memory: 1428 2022/07/22 21:38:38 - mmengine - INFO - Epoch(val) [29][220/310] eta: 0:00:17 time: 0.1975 data_time: 0.1193 memory: 1428 2022/07/22 21:38:42 - mmengine - INFO - Epoch(val) [29][240/310] eta: 0:00:15 time: 0.2183 data_time: 0.1429 memory: 1428 2022/07/22 21:38:47 - mmengine - INFO - Epoch(val) [29][260/310] eta: 0:00:10 time: 0.2171 data_time: 0.1437 memory: 1428 2022/07/22 21:38:51 - mmengine - INFO - Epoch(val) [29][280/310] eta: 0:00:07 time: 0.2441 data_time: 0.1658 memory: 1428 2022/07/22 21:38:55 - mmengine - INFO - Epoch(val) [29][300/310] eta: 0:00:01 time: 0.1684 data_time: 0.0995 memory: 1428 2022/07/22 21:38:58 - mmengine - INFO - Epoch(val) [29][310/310] acc/top1: 0.5573 acc/top5: 0.7966 acc/mean1: 0.5572 2022/07/22 21:38:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_29.pth is removed 2022/07/22 21:39:01 - mmengine - INFO - The best checkpoint with 0.5573 acc/top1 at 30 epoch is saved to best_acc/top1_epoch_30.pth. 2022/07/22 21:39:06 - mmengine - INFO - Epoch(train) [30][20/3757] lr: 1.0000e-02 eta: 17:20:10 time: 0.2629 data_time: 0.0709 memory: 6108 grad_norm: 5.4264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1830 loss: 2.1830 2022/07/22 21:39:12 - mmengine - INFO - Epoch(train) [30][40/3757] lr: 1.0000e-02 eta: 17:20:06 time: 0.2589 data_time: 0.0241 memory: 6108 grad_norm: 5.6590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2164 loss: 2.2164 2022/07/22 21:39:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:39:16 - mmengine - INFO - Epoch(train) [30][60/3757] lr: 1.0000e-02 eta: 17:20:02 time: 0.2300 data_time: 0.0217 memory: 6108 grad_norm: 5.7302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9618 loss: 1.9618 2022/07/22 21:39:21 - mmengine - INFO - Epoch(train) [30][80/3757] lr: 1.0000e-02 eta: 17:19:57 time: 0.2257 data_time: 0.0202 memory: 6108 grad_norm: 5.8879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5161 loss: 2.5161 2022/07/22 21:39:25 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 1.0000e-02 eta: 17:19:52 time: 0.2272 data_time: 0.0269 memory: 6108 grad_norm: 5.5573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0275 loss: 2.0275 2022/07/22 21:39:30 - mmengine - INFO - Epoch(train) [30][120/3757] lr: 1.0000e-02 eta: 17:19:46 time: 0.2264 data_time: 0.0229 memory: 6108 grad_norm: 5.6782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9960 loss: 1.9960 2022/07/22 21:39:35 - mmengine - INFO - Epoch(train) [30][140/3757] lr: 1.0000e-02 eta: 17:19:42 time: 0.2444 data_time: 0.0230 memory: 6108 grad_norm: 5.7006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9441 loss: 1.9441 2022/07/22 21:39:39 - mmengine - INFO - Epoch(train) [30][160/3757] lr: 1.0000e-02 eta: 17:19:37 time: 0.2218 data_time: 0.0212 memory: 6108 grad_norm: 5.6179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1745 loss: 2.1745 2022/07/22 21:39:44 - mmengine - INFO - Epoch(train) [30][180/3757] lr: 1.0000e-02 eta: 17:19:32 time: 0.2258 data_time: 0.0236 memory: 6108 grad_norm: 5.6393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3134 loss: 2.3134 2022/07/22 21:39:48 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 1.0000e-02 eta: 17:19:27 time: 0.2240 data_time: 0.0237 memory: 6108 grad_norm: 5.7442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3277 loss: 2.3277 2022/07/22 21:39:53 - mmengine - INFO - Epoch(train) [30][220/3757] lr: 1.0000e-02 eta: 17:19:23 time: 0.2625 data_time: 0.0211 memory: 6108 grad_norm: 5.6514 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0998 loss: 2.0998 2022/07/22 21:39:58 - mmengine - INFO - Epoch(train) [30][240/3757] lr: 1.0000e-02 eta: 17:19:18 time: 0.2240 data_time: 0.0227 memory: 6108 grad_norm: 5.5775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1253 loss: 2.1253 2022/07/22 21:40:03 - mmengine - INFO - Epoch(train) [30][260/3757] lr: 1.0000e-02 eta: 17:19:13 time: 0.2292 data_time: 0.0237 memory: 6108 grad_norm: 5.4393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7195 loss: 1.7195 2022/07/22 21:40:07 - mmengine - INFO - Epoch(train) [30][280/3757] lr: 1.0000e-02 eta: 17:19:09 time: 0.2331 data_time: 0.0236 memory: 6108 grad_norm: 5.6749 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2501 loss: 2.2501 2022/07/22 21:40:13 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 1.0000e-02 eta: 17:19:07 time: 0.2949 data_time: 0.0247 memory: 6108 grad_norm: 5.5557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8492 loss: 1.8492 2022/07/22 21:40:17 - mmengine - INFO - Epoch(train) [30][320/3757] lr: 1.0000e-02 eta: 17:19:01 time: 0.2159 data_time: 0.0205 memory: 6108 grad_norm: 5.6666 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.0444 loss: 2.0444 2022/07/22 21:40:22 - mmengine - INFO - Epoch(train) [30][340/3757] lr: 1.0000e-02 eta: 17:18:56 time: 0.2259 data_time: 0.0228 memory: 6108 grad_norm: 5.7754 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0355 loss: 2.0355 2022/07/22 21:40:27 - mmengine - INFO - Epoch(train) [30][360/3757] lr: 1.0000e-02 eta: 17:18:51 time: 0.2305 data_time: 0.0264 memory: 6108 grad_norm: 5.5534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9574 loss: 1.9574 2022/07/22 21:40:32 - mmengine - INFO - Epoch(train) [30][380/3757] lr: 1.0000e-02 eta: 17:18:48 time: 0.2609 data_time: 0.0206 memory: 6108 grad_norm: 5.6474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1776 loss: 2.1776 2022/07/22 21:40:36 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 1.0000e-02 eta: 17:18:43 time: 0.2270 data_time: 0.0215 memory: 6108 grad_norm: 5.6628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1023 loss: 2.1023 2022/07/22 21:40:41 - mmengine - INFO - Epoch(train) [30][420/3757] lr: 1.0000e-02 eta: 17:18:38 time: 0.2231 data_time: 0.0214 memory: 6108 grad_norm: 5.7431 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/07/22 21:40:45 - mmengine - INFO - Epoch(train) [30][440/3757] lr: 1.0000e-02 eta: 17:18:33 time: 0.2284 data_time: 0.0287 memory: 6108 grad_norm: 5.8625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9808 loss: 1.9808 2022/07/22 21:40:50 - mmengine - INFO - Epoch(train) [30][460/3757] lr: 1.0000e-02 eta: 17:18:28 time: 0.2295 data_time: 0.0271 memory: 6108 grad_norm: 5.6740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2585 loss: 2.2585 2022/07/22 21:40:55 - mmengine - INFO - Epoch(train) [30][480/3757] lr: 1.0000e-02 eta: 17:18:23 time: 0.2337 data_time: 0.0209 memory: 6108 grad_norm: 5.6792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7689 loss: 1.7689 2022/07/22 21:40:59 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 1.0000e-02 eta: 17:18:19 time: 0.2322 data_time: 0.0242 memory: 6108 grad_norm: 5.5743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8505 loss: 1.8505 2022/07/22 21:41:04 - mmengine - INFO - Epoch(train) [30][520/3757] lr: 1.0000e-02 eta: 17:18:14 time: 0.2330 data_time: 0.0237 memory: 6108 grad_norm: 5.5195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9158 loss: 1.9158 2022/07/22 21:41:09 - mmengine - INFO - Epoch(train) [30][540/3757] lr: 1.0000e-02 eta: 17:18:09 time: 0.2244 data_time: 0.0252 memory: 6108 grad_norm: 5.6467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9348 loss: 1.9348 2022/07/22 21:41:13 - mmengine - INFO - Epoch(train) [30][560/3757] lr: 1.0000e-02 eta: 17:18:05 time: 0.2460 data_time: 0.0259 memory: 6108 grad_norm: 5.4621 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2403 loss: 2.2403 2022/07/22 21:41:18 - mmengine - INFO - Epoch(train) [30][580/3757] lr: 1.0000e-02 eta: 17:18:00 time: 0.2254 data_time: 0.0235 memory: 6108 grad_norm: 5.4284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0447 loss: 2.0447 2022/07/22 21:41:23 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 1.0000e-02 eta: 17:17:55 time: 0.2387 data_time: 0.0183 memory: 6108 grad_norm: 5.7803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9750 loss: 1.9750 2022/07/22 21:41:27 - mmengine - INFO - Epoch(train) [30][620/3757] lr: 1.0000e-02 eta: 17:17:50 time: 0.2247 data_time: 0.0177 memory: 6108 grad_norm: 5.5112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9139 loss: 1.9139 2022/07/22 21:41:32 - mmengine - INFO - Epoch(train) [30][640/3757] lr: 1.0000e-02 eta: 17:17:46 time: 0.2544 data_time: 0.0244 memory: 6108 grad_norm: 5.7708 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0050 loss: 2.0050 2022/07/22 21:41:37 - mmengine - INFO - Epoch(train) [30][660/3757] lr: 1.0000e-02 eta: 17:17:42 time: 0.2454 data_time: 0.0203 memory: 6108 grad_norm: 5.4751 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0392 loss: 2.0392 2022/07/22 21:41:42 - mmengine - INFO - Epoch(train) [30][680/3757] lr: 1.0000e-02 eta: 17:17:37 time: 0.2292 data_time: 0.0281 memory: 6108 grad_norm: 5.7115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8718 loss: 1.8718 2022/07/22 21:41:46 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 1.0000e-02 eta: 17:17:32 time: 0.2241 data_time: 0.0236 memory: 6108 grad_norm: 5.7297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0935 loss: 2.0935 2022/07/22 21:41:51 - mmengine - INFO - Epoch(train) [30][720/3757] lr: 1.0000e-02 eta: 17:17:28 time: 0.2514 data_time: 0.0232 memory: 6108 grad_norm: 5.7778 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3991 loss: 2.3991 2022/07/22 21:41:56 - mmengine - INFO - Epoch(train) [30][740/3757] lr: 1.0000e-02 eta: 17:17:23 time: 0.2289 data_time: 0.0226 memory: 6108 grad_norm: 5.6927 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8876 loss: 1.8876 2022/07/22 21:42:01 - mmengine - INFO - Epoch(train) [30][760/3757] lr: 1.0000e-02 eta: 17:17:18 time: 0.2300 data_time: 0.0286 memory: 6108 grad_norm: 5.6200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0215 loss: 2.0215 2022/07/22 21:42:05 - mmengine - INFO - Epoch(train) [30][780/3757] lr: 1.0000e-02 eta: 17:17:14 time: 0.2400 data_time: 0.0218 memory: 6108 grad_norm: 5.6650 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9882 loss: 1.9882 2022/07/22 21:42:10 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 1.0000e-02 eta: 17:17:09 time: 0.2292 data_time: 0.0298 memory: 6108 grad_norm: 5.5878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0449 loss: 2.0449 2022/07/22 21:42:15 - mmengine - INFO - Epoch(train) [30][820/3757] lr: 1.0000e-02 eta: 17:17:05 time: 0.2512 data_time: 0.0274 memory: 6108 grad_norm: 5.6872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9682 loss: 1.9682 2022/07/22 21:42:20 - mmengine - INFO - Epoch(train) [30][840/3757] lr: 1.0000e-02 eta: 17:17:00 time: 0.2291 data_time: 0.0193 memory: 6108 grad_norm: 5.8711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0271 loss: 2.0271 2022/07/22 21:42:25 - mmengine - INFO - Epoch(train) [30][860/3757] lr: 1.0000e-02 eta: 17:16:56 time: 0.2490 data_time: 0.0198 memory: 6108 grad_norm: 5.8296 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1953 loss: 2.1953 2022/07/22 21:42:29 - mmengine - INFO - Epoch(train) [30][880/3757] lr: 1.0000e-02 eta: 17:16:51 time: 0.2257 data_time: 0.0256 memory: 6108 grad_norm: 5.5712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0410 loss: 2.0410 2022/07/22 21:42:34 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 1.0000e-02 eta: 17:16:47 time: 0.2323 data_time: 0.0212 memory: 6108 grad_norm: 5.7298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6325 loss: 2.6325 2022/07/22 21:42:38 - mmengine - INFO - Epoch(train) [30][920/3757] lr: 1.0000e-02 eta: 17:16:41 time: 0.2234 data_time: 0.0213 memory: 6108 grad_norm: 5.8361 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2630 loss: 2.2630 2022/07/22 21:42:43 - mmengine - INFO - Epoch(train) [30][940/3757] lr: 1.0000e-02 eta: 17:16:37 time: 0.2368 data_time: 0.0228 memory: 6108 grad_norm: 5.6111 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1317 loss: 2.1317 2022/07/22 21:42:48 - mmengine - INFO - Epoch(train) [30][960/3757] lr: 1.0000e-02 eta: 17:16:32 time: 0.2211 data_time: 0.0196 memory: 6108 grad_norm: 5.7213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0713 loss: 2.0713 2022/07/22 21:42:52 - mmengine - INFO - Epoch(train) [30][980/3757] lr: 1.0000e-02 eta: 17:16:27 time: 0.2475 data_time: 0.0456 memory: 6108 grad_norm: 5.4867 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9721 loss: 1.9721 2022/07/22 21:42:57 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 1.0000e-02 eta: 17:16:24 time: 0.2487 data_time: 0.0562 memory: 6108 grad_norm: 5.5275 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9616 loss: 1.9616 2022/07/22 21:43:02 - mmengine - INFO - Epoch(train) [30][1020/3757] lr: 1.0000e-02 eta: 17:16:19 time: 0.2382 data_time: 0.0230 memory: 6108 grad_norm: 5.6377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2952 loss: 2.2952 2022/07/22 21:43:07 - mmengine - INFO - Epoch(train) [30][1040/3757] lr: 1.0000e-02 eta: 17:16:14 time: 0.2231 data_time: 0.0244 memory: 6108 grad_norm: 5.5407 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0778 loss: 2.0778 2022/07/22 21:43:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:43:11 - mmengine - INFO - Epoch(train) [30][1060/3757] lr: 1.0000e-02 eta: 17:16:09 time: 0.2239 data_time: 0.0216 memory: 6108 grad_norm: 5.7557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7592 loss: 1.7592 2022/07/22 21:43:16 - mmengine - INFO - Epoch(train) [30][1080/3757] lr: 1.0000e-02 eta: 17:16:04 time: 0.2242 data_time: 0.0271 memory: 6108 grad_norm: 5.5542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1264 loss: 2.1264 2022/07/22 21:43:20 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 1.0000e-02 eta: 17:15:59 time: 0.2324 data_time: 0.0216 memory: 6108 grad_norm: 5.5181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9639 loss: 1.9639 2022/07/22 21:43:25 - mmengine - INFO - Epoch(train) [30][1120/3757] lr: 1.0000e-02 eta: 17:15:54 time: 0.2374 data_time: 0.0210 memory: 6108 grad_norm: 5.5755 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1648 loss: 2.1648 2022/07/22 21:43:30 - mmengine - INFO - Epoch(train) [30][1140/3757] lr: 1.0000e-02 eta: 17:15:49 time: 0.2272 data_time: 0.0216 memory: 6108 grad_norm: 5.5888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2433 loss: 2.2433 2022/07/22 21:43:34 - mmengine - INFO - Epoch(train) [30][1160/3757] lr: 1.0000e-02 eta: 17:15:44 time: 0.2292 data_time: 0.0213 memory: 6108 grad_norm: 5.7275 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1275 loss: 2.1275 2022/07/22 21:43:39 - mmengine - INFO - Epoch(train) [30][1180/3757] lr: 1.0000e-02 eta: 17:15:39 time: 0.2297 data_time: 0.0240 memory: 6108 grad_norm: 5.6651 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0485 loss: 2.0485 2022/07/22 21:43:44 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 1.0000e-02 eta: 17:15:35 time: 0.2370 data_time: 0.0195 memory: 6108 grad_norm: 5.7893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4972 loss: 2.4972 2022/07/22 21:43:48 - mmengine - INFO - Epoch(train) [30][1220/3757] lr: 1.0000e-02 eta: 17:15:30 time: 0.2237 data_time: 0.0287 memory: 6108 grad_norm: 5.7239 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1952 loss: 2.1952 2022/07/22 21:43:53 - mmengine - INFO - Epoch(train) [30][1240/3757] lr: 1.0000e-02 eta: 17:15:25 time: 0.2416 data_time: 0.0225 memory: 6108 grad_norm: 5.5730 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3673 loss: 2.3673 2022/07/22 21:43:58 - mmengine - INFO - Epoch(train) [30][1260/3757] lr: 1.0000e-02 eta: 17:15:21 time: 0.2412 data_time: 0.0408 memory: 6108 grad_norm: 5.6625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9253 loss: 1.9253 2022/07/22 21:44:03 - mmengine - INFO - Epoch(train) [30][1280/3757] lr: 1.0000e-02 eta: 17:15:16 time: 0.2354 data_time: 0.0197 memory: 6108 grad_norm: 5.7056 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0844 loss: 2.0844 2022/07/22 21:44:07 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 1.0000e-02 eta: 17:15:11 time: 0.2217 data_time: 0.0232 memory: 6108 grad_norm: 5.6763 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7479 loss: 1.7479 2022/07/22 21:44:11 - mmengine - INFO - Epoch(train) [30][1320/3757] lr: 1.0000e-02 eta: 17:15:06 time: 0.2221 data_time: 0.0234 memory: 6108 grad_norm: 5.5660 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8433 loss: 1.8433 2022/07/22 21:44:16 - mmengine - INFO - Epoch(train) [30][1340/3757] lr: 1.0000e-02 eta: 17:15:01 time: 0.2194 data_time: 0.0213 memory: 6108 grad_norm: 5.5494 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9864 loss: 1.9864 2022/07/22 21:44:22 - mmengine - INFO - Epoch(train) [30][1360/3757] lr: 1.0000e-02 eta: 17:14:58 time: 0.2829 data_time: 0.0185 memory: 6108 grad_norm: 5.6671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9354 loss: 1.9354 2022/07/22 21:44:26 - mmengine - INFO - Epoch(train) [30][1380/3757] lr: 1.0000e-02 eta: 17:14:53 time: 0.2234 data_time: 0.0250 memory: 6108 grad_norm: 5.5688 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1765 loss: 2.1765 2022/07/22 21:44:31 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 1.0000e-02 eta: 17:14:48 time: 0.2265 data_time: 0.0221 memory: 6108 grad_norm: 5.4603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1324 loss: 2.1324 2022/07/22 21:44:35 - mmengine - INFO - Epoch(train) [30][1420/3757] lr: 1.0000e-02 eta: 17:14:43 time: 0.2231 data_time: 0.0188 memory: 6108 grad_norm: 5.7640 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0538 loss: 2.0538 2022/07/22 21:44:40 - mmengine - INFO - Epoch(train) [30][1440/3757] lr: 1.0000e-02 eta: 17:14:38 time: 0.2266 data_time: 0.0230 memory: 6108 grad_norm: 5.7474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/07/22 21:44:45 - mmengine - INFO - Epoch(train) [30][1460/3757] lr: 1.0000e-02 eta: 17:14:34 time: 0.2508 data_time: 0.0300 memory: 6108 grad_norm: 5.6195 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0950 loss: 2.0950 2022/07/22 21:44:49 - mmengine - INFO - Epoch(train) [30][1480/3757] lr: 1.0000e-02 eta: 17:14:29 time: 0.2243 data_time: 0.0216 memory: 6108 grad_norm: 5.4284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7447 loss: 1.7447 2022/07/22 21:44:54 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 1.0000e-02 eta: 17:14:23 time: 0.2206 data_time: 0.0204 memory: 6108 grad_norm: 5.7477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0905 loss: 2.0905 2022/07/22 21:44:59 - mmengine - INFO - Epoch(train) [30][1520/3757] lr: 1.0000e-02 eta: 17:14:20 time: 0.2505 data_time: 0.0213 memory: 6108 grad_norm: 5.5663 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8915 loss: 1.8915 2022/07/22 21:45:04 - mmengine - INFO - Epoch(train) [30][1540/3757] lr: 1.0000e-02 eta: 17:14:16 time: 0.2512 data_time: 0.0219 memory: 6108 grad_norm: 5.6373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5425 loss: 1.5425 2022/07/22 21:45:08 - mmengine - INFO - Epoch(train) [30][1560/3757] lr: 1.0000e-02 eta: 17:14:11 time: 0.2333 data_time: 0.0376 memory: 6108 grad_norm: 5.4950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8775 loss: 1.8775 2022/07/22 21:45:13 - mmengine - INFO - Epoch(train) [30][1580/3757] lr: 1.0000e-02 eta: 17:14:06 time: 0.2245 data_time: 0.0175 memory: 6108 grad_norm: 5.6074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0858 loss: 2.0858 2022/07/22 21:45:17 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 1.0000e-02 eta: 17:14:01 time: 0.2221 data_time: 0.0192 memory: 6108 grad_norm: 5.5069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8363 loss: 1.8363 2022/07/22 21:45:22 - mmengine - INFO - Epoch(train) [30][1620/3757] lr: 1.0000e-02 eta: 17:13:57 time: 0.2539 data_time: 0.0259 memory: 6108 grad_norm: 5.6698 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2870 loss: 2.2870 2022/07/22 21:45:27 - mmengine - INFO - Epoch(train) [30][1640/3757] lr: 1.0000e-02 eta: 17:13:52 time: 0.2201 data_time: 0.0200 memory: 6108 grad_norm: 5.6414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8218 loss: 1.8218 2022/07/22 21:45:31 - mmengine - INFO - Epoch(train) [30][1660/3757] lr: 1.0000e-02 eta: 17:13:47 time: 0.2300 data_time: 0.0203 memory: 6108 grad_norm: 5.5174 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0250 loss: 2.0250 2022/07/22 21:45:36 - mmengine - INFO - Epoch(train) [30][1680/3757] lr: 1.0000e-02 eta: 17:13:42 time: 0.2287 data_time: 0.0214 memory: 6108 grad_norm: 5.5094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1088 loss: 2.1088 2022/07/22 21:45:41 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 1.0000e-02 eta: 17:13:37 time: 0.2334 data_time: 0.0175 memory: 6108 grad_norm: 5.5853 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1230 loss: 2.1230 2022/07/22 21:45:45 - mmengine - INFO - Epoch(train) [30][1720/3757] lr: 1.0000e-02 eta: 17:13:33 time: 0.2396 data_time: 0.0218 memory: 6108 grad_norm: 5.6564 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2310 loss: 2.2310 2022/07/22 21:45:50 - mmengine - INFO - Epoch(train) [30][1740/3757] lr: 1.0000e-02 eta: 17:13:28 time: 0.2255 data_time: 0.0227 memory: 6108 grad_norm: 5.5562 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1224 loss: 2.1224 2022/07/22 21:45:54 - mmengine - INFO - Epoch(train) [30][1760/3757] lr: 1.0000e-02 eta: 17:13:23 time: 0.2294 data_time: 0.0215 memory: 6108 grad_norm: 5.5388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9468 loss: 1.9468 2022/07/22 21:45:59 - mmengine - INFO - Epoch(train) [30][1780/3757] lr: 1.0000e-02 eta: 17:13:18 time: 0.2287 data_time: 0.0211 memory: 6108 grad_norm: 5.6150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0033 loss: 2.0033 2022/07/22 21:46:04 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 1.0000e-02 eta: 17:13:14 time: 0.2496 data_time: 0.0308 memory: 6108 grad_norm: 5.6829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9388 loss: 1.9388 2022/07/22 21:46:09 - mmengine - INFO - Epoch(train) [30][1820/3757] lr: 1.0000e-02 eta: 17:13:09 time: 0.2374 data_time: 0.0192 memory: 6108 grad_norm: 5.6061 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9535 loss: 1.9535 2022/07/22 21:46:13 - mmengine - INFO - Epoch(train) [30][1840/3757] lr: 1.0000e-02 eta: 17:13:04 time: 0.2310 data_time: 0.0299 memory: 6108 grad_norm: 5.5800 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2054 loss: 2.2054 2022/07/22 21:46:18 - mmengine - INFO - Epoch(train) [30][1860/3757] lr: 1.0000e-02 eta: 17:12:59 time: 0.2216 data_time: 0.0206 memory: 6108 grad_norm: 5.4993 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8503 loss: 1.8503 2022/07/22 21:46:23 - mmengine - INFO - Epoch(train) [30][1880/3757] lr: 1.0000e-02 eta: 17:12:56 time: 0.2704 data_time: 0.0219 memory: 6108 grad_norm: 5.4585 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1666 loss: 2.1666 2022/07/22 21:46:28 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 1.0000e-02 eta: 17:12:51 time: 0.2246 data_time: 0.0203 memory: 6108 grad_norm: 5.5083 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0893 loss: 2.0893 2022/07/22 21:46:32 - mmengine - INFO - Epoch(train) [30][1920/3757] lr: 1.0000e-02 eta: 17:12:46 time: 0.2235 data_time: 0.0231 memory: 6108 grad_norm: 5.6290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1055 loss: 2.1055 2022/07/22 21:46:37 - mmengine - INFO - Epoch(train) [30][1940/3757] lr: 1.0000e-02 eta: 17:12:41 time: 0.2221 data_time: 0.0209 memory: 6108 grad_norm: 5.5917 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9399 loss: 1.9399 2022/07/22 21:46:41 - mmengine - INFO - Epoch(train) [30][1960/3757] lr: 1.0000e-02 eta: 17:12:36 time: 0.2245 data_time: 0.0209 memory: 6108 grad_norm: 5.5298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8990 loss: 1.8990 2022/07/22 21:46:46 - mmengine - INFO - Epoch(train) [30][1980/3757] lr: 1.0000e-02 eta: 17:12:31 time: 0.2442 data_time: 0.0323 memory: 6108 grad_norm: 5.4856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2151 loss: 2.2151 2022/07/22 21:46:51 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 1.0000e-02 eta: 17:12:27 time: 0.2332 data_time: 0.0268 memory: 6108 grad_norm: 5.7331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1122 loss: 2.1122 2022/07/22 21:46:56 - mmengine - INFO - Epoch(train) [30][2020/3757] lr: 1.0000e-02 eta: 17:12:22 time: 0.2362 data_time: 0.0291 memory: 6108 grad_norm: 5.9345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2141 loss: 2.2141 2022/07/22 21:47:00 - mmengine - INFO - Epoch(train) [30][2040/3757] lr: 1.0000e-02 eta: 17:12:17 time: 0.2322 data_time: 0.0272 memory: 6108 grad_norm: 5.5173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8774 loss: 1.8774 2022/07/22 21:47:02 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:47:05 - mmengine - INFO - Epoch(train) [30][2060/3757] lr: 1.0000e-02 eta: 17:12:13 time: 0.2372 data_time: 0.0208 memory: 6108 grad_norm: 5.7224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6924 loss: 1.6924 2022/07/22 21:47:09 - mmengine - INFO - Epoch(train) [30][2080/3757] lr: 1.0000e-02 eta: 17:12:07 time: 0.2220 data_time: 0.0185 memory: 6108 grad_norm: 5.6494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0639 loss: 2.0639 2022/07/22 21:47:15 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 1.0000e-02 eta: 17:12:05 time: 0.2702 data_time: 0.0251 memory: 6108 grad_norm: 5.6670 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0416 loss: 2.0416 2022/07/22 21:47:19 - mmengine - INFO - Epoch(train) [30][2120/3757] lr: 1.0000e-02 eta: 17:11:59 time: 0.2236 data_time: 0.0252 memory: 6108 grad_norm: 5.6477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8064 loss: 1.8064 2022/07/22 21:47:24 - mmengine - INFO - Epoch(train) [30][2140/3757] lr: 1.0000e-02 eta: 17:11:55 time: 0.2344 data_time: 0.0207 memory: 6108 grad_norm: 5.5489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0789 loss: 2.0789 2022/07/22 21:47:29 - mmengine - INFO - Epoch(train) [30][2160/3757] lr: 1.0000e-02 eta: 17:11:51 time: 0.2474 data_time: 0.0207 memory: 6108 grad_norm: 5.5693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0429 loss: 2.0429 2022/07/22 21:47:34 - mmengine - INFO - Epoch(train) [30][2180/3757] lr: 1.0000e-02 eta: 17:11:46 time: 0.2291 data_time: 0.0273 memory: 6108 grad_norm: 5.7580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9914 loss: 1.9914 2022/07/22 21:47:38 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 1.0000e-02 eta: 17:11:41 time: 0.2243 data_time: 0.0189 memory: 6108 grad_norm: 5.4890 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9100 loss: 1.9100 2022/07/22 21:47:43 - mmengine - INFO - Epoch(train) [30][2220/3757] lr: 1.0000e-02 eta: 17:11:36 time: 0.2329 data_time: 0.0228 memory: 6108 grad_norm: 5.4922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8349 loss: 1.8349 2022/07/22 21:47:47 - mmengine - INFO - Epoch(train) [30][2240/3757] lr: 1.0000e-02 eta: 17:11:31 time: 0.2273 data_time: 0.0233 memory: 6108 grad_norm: 5.7346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7426 loss: 1.7426 2022/07/22 21:47:52 - mmengine - INFO - Epoch(train) [30][2260/3757] lr: 1.0000e-02 eta: 17:11:26 time: 0.2286 data_time: 0.0231 memory: 6108 grad_norm: 5.6969 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0465 loss: 2.0465 2022/07/22 21:47:57 - mmengine - INFO - Epoch(train) [30][2280/3757] lr: 1.0000e-02 eta: 17:11:22 time: 0.2401 data_time: 0.0231 memory: 6108 grad_norm: 5.7307 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9962 loss: 1.9962 2022/07/22 21:48:02 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 1.0000e-02 eta: 17:11:18 time: 0.2567 data_time: 0.0199 memory: 6108 grad_norm: 5.5698 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0870 loss: 2.0870 2022/07/22 21:48:06 - mmengine - INFO - Epoch(train) [30][2320/3757] lr: 1.0000e-02 eta: 17:11:13 time: 0.2237 data_time: 0.0259 memory: 6108 grad_norm: 5.5417 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7721 loss: 1.7721 2022/07/22 21:48:11 - mmengine - INFO - Epoch(train) [30][2340/3757] lr: 1.0000e-02 eta: 17:11:08 time: 0.2259 data_time: 0.0216 memory: 6108 grad_norm: 5.5444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8645 loss: 1.8645 2022/07/22 21:48:16 - mmengine - INFO - Epoch(train) [30][2360/3757] lr: 1.0000e-02 eta: 17:11:03 time: 0.2316 data_time: 0.0192 memory: 6108 grad_norm: 5.6876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1183 loss: 2.1183 2022/07/22 21:48:20 - mmengine - INFO - Epoch(train) [30][2380/3757] lr: 1.0000e-02 eta: 17:10:58 time: 0.2274 data_time: 0.0206 memory: 6108 grad_norm: 5.6695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/07/22 21:48:25 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 1.0000e-02 eta: 17:10:54 time: 0.2429 data_time: 0.0253 memory: 6108 grad_norm: 5.4029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/07/22 21:48:30 - mmengine - INFO - Epoch(train) [30][2420/3757] lr: 1.0000e-02 eta: 17:10:49 time: 0.2326 data_time: 0.0205 memory: 6108 grad_norm: 5.4439 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0360 loss: 2.0360 2022/07/22 21:48:35 - mmengine - INFO - Epoch(train) [30][2440/3757] lr: 1.0000e-02 eta: 17:10:46 time: 0.2642 data_time: 0.0198 memory: 6108 grad_norm: 5.6003 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2499 loss: 2.2499 2022/07/22 21:48:39 - mmengine - INFO - Epoch(train) [30][2460/3757] lr: 1.0000e-02 eta: 17:10:40 time: 0.2200 data_time: 0.0250 memory: 6108 grad_norm: 5.6022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3276 loss: 2.3276 2022/07/22 21:48:44 - mmengine - INFO - Epoch(train) [30][2480/3757] lr: 1.0000e-02 eta: 17:10:37 time: 0.2525 data_time: 0.0202 memory: 6108 grad_norm: 5.7471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0886 loss: 2.0886 2022/07/22 21:48:49 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 1.0000e-02 eta: 17:10:31 time: 0.2217 data_time: 0.0183 memory: 6108 grad_norm: 5.7327 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1672 loss: 2.1672 2022/07/22 21:48:53 - mmengine - INFO - Epoch(train) [30][2520/3757] lr: 1.0000e-02 eta: 17:10:26 time: 0.2305 data_time: 0.0242 memory: 6108 grad_norm: 5.8058 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3008 loss: 2.3008 2022/07/22 21:48:58 - mmengine - INFO - Epoch(train) [30][2540/3757] lr: 1.0000e-02 eta: 17:10:21 time: 0.2284 data_time: 0.0201 memory: 6108 grad_norm: 5.8451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9222 loss: 1.9222 2022/07/22 21:49:03 - mmengine - INFO - Epoch(train) [30][2560/3757] lr: 1.0000e-02 eta: 17:10:17 time: 0.2416 data_time: 0.0191 memory: 6108 grad_norm: 5.6287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/07/22 21:49:07 - mmengine - INFO - Epoch(train) [30][2580/3757] lr: 1.0000e-02 eta: 17:10:12 time: 0.2276 data_time: 0.0241 memory: 6108 grad_norm: 5.4987 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8070 loss: 1.8070 2022/07/22 21:49:12 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 1.0000e-02 eta: 17:10:07 time: 0.2305 data_time: 0.0228 memory: 6108 grad_norm: 5.6728 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2773 loss: 2.2773 2022/07/22 21:49:17 - mmengine - INFO - Epoch(train) [30][2620/3757] lr: 1.0000e-02 eta: 17:10:02 time: 0.2264 data_time: 0.0214 memory: 6108 grad_norm: 5.6133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1098 loss: 2.1098 2022/07/22 21:49:21 - mmengine - INFO - Epoch(train) [30][2640/3757] lr: 1.0000e-02 eta: 17:09:57 time: 0.2304 data_time: 0.0290 memory: 6108 grad_norm: 5.5984 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0913 loss: 2.0913 2022/07/22 21:49:26 - mmengine - INFO - Epoch(train) [30][2660/3757] lr: 1.0000e-02 eta: 17:09:53 time: 0.2388 data_time: 0.0199 memory: 6108 grad_norm: 5.4808 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/07/22 21:49:31 - mmengine - INFO - Epoch(train) [30][2680/3757] lr: 1.0000e-02 eta: 17:09:48 time: 0.2285 data_time: 0.0220 memory: 6108 grad_norm: 5.6367 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2171 loss: 2.2171 2022/07/22 21:49:35 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 1.0000e-02 eta: 17:09:44 time: 0.2415 data_time: 0.0218 memory: 6108 grad_norm: 5.8533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2550 loss: 2.2550 2022/07/22 21:49:40 - mmengine - INFO - Epoch(train) [30][2720/3757] lr: 1.0000e-02 eta: 17:09:39 time: 0.2250 data_time: 0.0178 memory: 6108 grad_norm: 5.7764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0294 loss: 2.0294 2022/07/22 21:49:45 - mmengine - INFO - Epoch(train) [30][2740/3757] lr: 1.0000e-02 eta: 17:09:34 time: 0.2419 data_time: 0.0265 memory: 6108 grad_norm: 5.6501 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7462 loss: 1.7462 2022/07/22 21:49:49 - mmengine - INFO - Epoch(train) [30][2760/3757] lr: 1.0000e-02 eta: 17:09:29 time: 0.2305 data_time: 0.0339 memory: 6108 grad_norm: 5.6286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/07/22 21:49:54 - mmengine - INFO - Epoch(train) [30][2780/3757] lr: 1.0000e-02 eta: 17:09:24 time: 0.2270 data_time: 0.0218 memory: 6108 grad_norm: 5.7807 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0398 loss: 2.0398 2022/07/22 21:49:59 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 1.0000e-02 eta: 17:09:20 time: 0.2423 data_time: 0.0201 memory: 6108 grad_norm: 5.7661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9688 loss: 1.9688 2022/07/22 21:50:04 - mmengine - INFO - Epoch(train) [30][2820/3757] lr: 1.0000e-02 eta: 17:09:17 time: 0.2652 data_time: 0.0301 memory: 6108 grad_norm: 5.5883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1106 loss: 2.1106 2022/07/22 21:50:09 - mmengine - INFO - Epoch(train) [30][2840/3757] lr: 1.0000e-02 eta: 17:09:12 time: 0.2260 data_time: 0.0254 memory: 6108 grad_norm: 5.5008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6652 loss: 1.6652 2022/07/22 21:50:13 - mmengine - INFO - Epoch(train) [30][2860/3757] lr: 1.0000e-02 eta: 17:09:07 time: 0.2282 data_time: 0.0229 memory: 6108 grad_norm: 5.5362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4245 loss: 2.4245 2022/07/22 21:50:18 - mmengine - INFO - Epoch(train) [30][2880/3757] lr: 1.0000e-02 eta: 17:09:02 time: 0.2219 data_time: 0.0222 memory: 6108 grad_norm: 5.3531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9569 loss: 1.9569 2022/07/22 21:50:22 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 1.0000e-02 eta: 17:08:57 time: 0.2328 data_time: 0.0299 memory: 6108 grad_norm: 5.5670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0015 loss: 2.0015 2022/07/22 21:50:27 - mmengine - INFO - Epoch(train) [30][2920/3757] lr: 1.0000e-02 eta: 17:08:52 time: 0.2314 data_time: 0.0285 memory: 6108 grad_norm: 5.5841 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7413 loss: 1.7413 2022/07/22 21:50:32 - mmengine - INFO - Epoch(train) [30][2940/3757] lr: 1.0000e-02 eta: 17:08:48 time: 0.2371 data_time: 0.0349 memory: 6108 grad_norm: 5.5617 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1077 loss: 2.1077 2022/07/22 21:50:36 - mmengine - INFO - Epoch(train) [30][2960/3757] lr: 1.0000e-02 eta: 17:08:43 time: 0.2294 data_time: 0.0183 memory: 6108 grad_norm: 5.6377 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2949 loss: 2.2949 2022/07/22 21:50:41 - mmengine - INFO - Epoch(train) [30][2980/3757] lr: 1.0000e-02 eta: 17:08:38 time: 0.2290 data_time: 0.0233 memory: 6108 grad_norm: 5.6224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0045 loss: 2.0045 2022/07/22 21:50:46 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 1.0000e-02 eta: 17:08:33 time: 0.2379 data_time: 0.0249 memory: 6108 grad_norm: 5.5460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1658 loss: 2.1658 2022/07/22 21:50:50 - mmengine - INFO - Epoch(train) [30][3020/3757] lr: 1.0000e-02 eta: 17:08:28 time: 0.2254 data_time: 0.0171 memory: 6108 grad_norm: 5.4006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0732 loss: 2.0732 2022/07/22 21:50:55 - mmengine - INFO - Epoch(train) [30][3040/3757] lr: 1.0000e-02 eta: 17:08:23 time: 0.2295 data_time: 0.0194 memory: 6108 grad_norm: 5.4931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2117 loss: 2.2117 2022/07/22 21:50:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:50:59 - mmengine - INFO - Epoch(train) [30][3060/3757] lr: 1.0000e-02 eta: 17:08:18 time: 0.2255 data_time: 0.0231 memory: 6108 grad_norm: 5.5402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0494 loss: 2.0494 2022/07/22 21:51:04 - mmengine - INFO - Epoch(train) [30][3080/3757] lr: 1.0000e-02 eta: 17:08:14 time: 0.2406 data_time: 0.0198 memory: 6108 grad_norm: 5.4830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8676 loss: 1.8676 2022/07/22 21:51:09 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 1.0000e-02 eta: 17:08:09 time: 0.2278 data_time: 0.0213 memory: 6108 grad_norm: 5.9546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/07/22 21:51:13 - mmengine - INFO - Epoch(train) [30][3120/3757] lr: 1.0000e-02 eta: 17:08:04 time: 0.2249 data_time: 0.0229 memory: 6108 grad_norm: 5.5682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8492 loss: 1.8492 2022/07/22 21:51:18 - mmengine - INFO - Epoch(train) [30][3140/3757] lr: 1.0000e-02 eta: 17:07:59 time: 0.2253 data_time: 0.0227 memory: 6108 grad_norm: 5.5185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8627 loss: 1.8627 2022/07/22 21:51:22 - mmengine - INFO - Epoch(train) [30][3160/3757] lr: 1.0000e-02 eta: 17:07:54 time: 0.2255 data_time: 0.0201 memory: 6108 grad_norm: 5.6195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1745 loss: 2.1745 2022/07/22 21:51:28 - mmengine - INFO - Epoch(train) [30][3180/3757] lr: 1.0000e-02 eta: 17:07:50 time: 0.2602 data_time: 0.0231 memory: 6108 grad_norm: 5.6450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1250 loss: 2.1250 2022/07/22 21:51:32 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 1.0000e-02 eta: 17:07:46 time: 0.2455 data_time: 0.0227 memory: 6108 grad_norm: 5.6308 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1923 loss: 2.1923 2022/07/22 21:51:37 - mmengine - INFO - Epoch(train) [30][3220/3757] lr: 1.0000e-02 eta: 17:07:41 time: 0.2245 data_time: 0.0229 memory: 6108 grad_norm: 5.6903 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1415 loss: 2.1415 2022/07/22 21:51:41 - mmengine - INFO - Epoch(train) [30][3240/3757] lr: 1.0000e-02 eta: 17:07:36 time: 0.2224 data_time: 0.0180 memory: 6108 grad_norm: 5.5648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0745 loss: 2.0745 2022/07/22 21:51:47 - mmengine - INFO - Epoch(train) [30][3260/3757] lr: 1.0000e-02 eta: 17:07:32 time: 0.2573 data_time: 0.0244 memory: 6108 grad_norm: 5.6441 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1901 loss: 2.1901 2022/07/22 21:51:51 - mmengine - INFO - Epoch(train) [30][3280/3757] lr: 1.0000e-02 eta: 17:07:27 time: 0.2299 data_time: 0.0231 memory: 6108 grad_norm: 5.6589 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8109 loss: 1.8109 2022/07/22 21:51:56 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 1.0000e-02 eta: 17:07:23 time: 0.2328 data_time: 0.0176 memory: 6108 grad_norm: 5.5204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9956 loss: 1.9956 2022/07/22 21:52:00 - mmengine - INFO - Epoch(train) [30][3320/3757] lr: 1.0000e-02 eta: 17:07:17 time: 0.2244 data_time: 0.0286 memory: 6108 grad_norm: 5.7663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8291 loss: 1.8291 2022/07/22 21:52:05 - mmengine - INFO - Epoch(train) [30][3340/3757] lr: 1.0000e-02 eta: 17:07:13 time: 0.2310 data_time: 0.0226 memory: 6108 grad_norm: 5.6816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1110 loss: 2.1110 2022/07/22 21:52:10 - mmengine - INFO - Epoch(train) [30][3360/3757] lr: 1.0000e-02 eta: 17:07:08 time: 0.2313 data_time: 0.0180 memory: 6108 grad_norm: 5.6055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7829 loss: 1.7829 2022/07/22 21:52:15 - mmengine - INFO - Epoch(train) [30][3380/3757] lr: 1.0000e-02 eta: 17:07:04 time: 0.2495 data_time: 0.0283 memory: 6108 grad_norm: 5.7371 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3242 loss: 2.3242 2022/07/22 21:52:19 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 1.0000e-02 eta: 17:06:59 time: 0.2337 data_time: 0.0232 memory: 6108 grad_norm: 5.7182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1309 loss: 2.1309 2022/07/22 21:52:24 - mmengine - INFO - Epoch(train) [30][3420/3757] lr: 1.0000e-02 eta: 17:06:54 time: 0.2318 data_time: 0.0189 memory: 6108 grad_norm: 5.5533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9137 loss: 1.9137 2022/07/22 21:52:29 - mmengine - INFO - Epoch(train) [30][3440/3757] lr: 1.0000e-02 eta: 17:06:49 time: 0.2283 data_time: 0.0187 memory: 6108 grad_norm: 5.5599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0800 loss: 2.0800 2022/07/22 21:52:33 - mmengine - INFO - Epoch(train) [30][3460/3757] lr: 1.0000e-02 eta: 17:06:45 time: 0.2451 data_time: 0.0188 memory: 6108 grad_norm: 5.5391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8738 loss: 1.8738 2022/07/22 21:52:38 - mmengine - INFO - Epoch(train) [30][3480/3757] lr: 1.0000e-02 eta: 17:06:40 time: 0.2248 data_time: 0.0195 memory: 6108 grad_norm: 5.3578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9582 loss: 1.9582 2022/07/22 21:52:43 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 1.0000e-02 eta: 17:06:35 time: 0.2290 data_time: 0.0244 memory: 6108 grad_norm: 5.5156 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1968 loss: 2.1968 2022/07/22 21:52:47 - mmengine - INFO - Epoch(train) [30][3520/3757] lr: 1.0000e-02 eta: 17:06:30 time: 0.2268 data_time: 0.0204 memory: 6108 grad_norm: 5.7194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9533 loss: 1.9533 2022/07/22 21:52:53 - mmengine - INFO - Epoch(train) [30][3540/3757] lr: 1.0000e-02 eta: 17:06:27 time: 0.2681 data_time: 0.0198 memory: 6108 grad_norm: 5.6741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0972 loss: 2.0972 2022/07/22 21:52:57 - mmengine - INFO - Epoch(train) [30][3560/3757] lr: 1.0000e-02 eta: 17:06:22 time: 0.2235 data_time: 0.0170 memory: 6108 grad_norm: 5.5620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0944 loss: 2.0944 2022/07/22 21:53:02 - mmengine - INFO - Epoch(train) [30][3580/3757] lr: 1.0000e-02 eta: 17:06:17 time: 0.2295 data_time: 0.0283 memory: 6108 grad_norm: 5.7002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0720 loss: 2.0720 2022/07/22 21:53:07 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 1.0000e-02 eta: 17:06:13 time: 0.2487 data_time: 0.0267 memory: 6108 grad_norm: 5.7534 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3120 loss: 2.3120 2022/07/22 21:53:11 - mmengine - INFO - Epoch(train) [30][3620/3757] lr: 1.0000e-02 eta: 17:06:08 time: 0.2302 data_time: 0.0175 memory: 6108 grad_norm: 5.7028 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1963 loss: 2.1963 2022/07/22 21:53:16 - mmengine - INFO - Epoch(train) [30][3640/3757] lr: 1.0000e-02 eta: 17:06:03 time: 0.2315 data_time: 0.0267 memory: 6108 grad_norm: 5.6753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9849 loss: 1.9849 2022/07/22 21:53:20 - mmengine - INFO - Epoch(train) [30][3660/3757] lr: 1.0000e-02 eta: 17:05:58 time: 0.2268 data_time: 0.0184 memory: 6108 grad_norm: 5.7596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0460 loss: 2.0460 2022/07/22 21:53:25 - mmengine - INFO - Epoch(train) [30][3680/3757] lr: 1.0000e-02 eta: 17:05:54 time: 0.2367 data_time: 0.0258 memory: 6108 grad_norm: 5.6433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0798 loss: 2.0798 2022/07/22 21:53:30 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 1.0000e-02 eta: 17:05:49 time: 0.2247 data_time: 0.0238 memory: 6108 grad_norm: 5.6342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0146 loss: 2.0146 2022/07/22 21:53:34 - mmengine - INFO - Epoch(train) [30][3720/3757] lr: 1.0000e-02 eta: 17:05:44 time: 0.2360 data_time: 0.0208 memory: 6108 grad_norm: 5.5965 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9017 loss: 1.9017 2022/07/22 21:53:39 - mmengine - INFO - Epoch(train) [30][3740/3757] lr: 1.0000e-02 eta: 17:05:40 time: 0.2484 data_time: 0.0191 memory: 6108 grad_norm: 5.8036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0481 loss: 2.0481 2022/07/22 21:53:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:53:43 - mmengine - INFO - Epoch(train) [30][3757/3757] lr: 1.0000e-02 eta: 17:05:40 time: 0.2089 data_time: 0.0168 memory: 6108 grad_norm: 5.5506 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.6735 loss: 1.6735 2022/07/22 21:53:43 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/07/22 21:53:51 - mmengine - INFO - Epoch(val) [30][20/310] eta: 0:01:19 time: 0.2741 data_time: 0.1932 memory: 1428 2022/07/22 21:53:54 - mmengine - INFO - Epoch(val) [30][40/310] eta: 0:00:48 time: 0.1808 data_time: 0.1013 memory: 1428 2022/07/22 21:53:59 - mmengine - INFO - Epoch(val) [30][60/310] eta: 0:00:58 time: 0.2333 data_time: 0.1557 memory: 1428 2022/07/22 21:54:04 - mmengine - INFO - Epoch(val) [30][80/310] eta: 0:00:53 time: 0.2345 data_time: 0.1446 memory: 1428 2022/07/22 21:54:08 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:00:43 time: 0.2073 data_time: 0.1327 memory: 1428 2022/07/22 21:54:12 - mmengine - INFO - Epoch(val) [30][120/310] eta: 0:00:39 time: 0.2055 data_time: 0.1297 memory: 1428 2022/07/22 21:54:17 - mmengine - INFO - Epoch(val) [30][140/310] eta: 0:00:41 time: 0.2430 data_time: 0.1670 memory: 1428 2022/07/22 21:54:21 - mmengine - INFO - Epoch(val) [30][160/310] eta: 0:00:30 time: 0.2064 data_time: 0.1334 memory: 1428 2022/07/22 21:54:26 - mmengine - INFO - Epoch(val) [30][180/310] eta: 0:00:30 time: 0.2322 data_time: 0.1435 memory: 1428 2022/07/22 21:54:30 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:00:22 time: 0.2022 data_time: 0.1259 memory: 1428 2022/07/22 21:54:34 - mmengine - INFO - Epoch(val) [30][220/310] eta: 0:00:19 time: 0.2124 data_time: 0.1355 memory: 1428 2022/07/22 21:54:38 - mmengine - INFO - Epoch(val) [30][240/310] eta: 0:00:13 time: 0.1970 data_time: 0.1202 memory: 1428 2022/07/22 21:54:43 - mmengine - INFO - Epoch(val) [30][260/310] eta: 0:00:11 time: 0.2312 data_time: 0.1498 memory: 1428 2022/07/22 21:54:47 - mmengine - INFO - Epoch(val) [30][280/310] eta: 0:00:06 time: 0.2021 data_time: 0.1280 memory: 1428 2022/07/22 21:54:50 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:01 time: 0.1736 data_time: 0.1069 memory: 1428 2022/07/22 21:54:53 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.5530 acc/top5: 0.7959 acc/mean1: 0.5528 2022/07/22 21:54:59 - mmengine - INFO - Epoch(train) [31][20/3757] lr: 1.0000e-02 eta: 17:05:27 time: 0.3336 data_time: 0.1078 memory: 6108 grad_norm: 5.6110 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0431 loss: 2.0431 2022/07/22 21:55:04 - mmengine - INFO - Epoch(train) [31][40/3757] lr: 1.0000e-02 eta: 17:05:23 time: 0.2425 data_time: 0.0204 memory: 6108 grad_norm: 5.5378 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8393 loss: 1.8393 2022/07/22 21:55:09 - mmengine - INFO - Epoch(train) [31][60/3757] lr: 1.0000e-02 eta: 17:05:18 time: 0.2393 data_time: 0.0237 memory: 6108 grad_norm: 5.5825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9537 loss: 1.9537 2022/07/22 21:55:14 - mmengine - INFO - Epoch(train) [31][80/3757] lr: 1.0000e-02 eta: 17:05:14 time: 0.2388 data_time: 0.0196 memory: 6108 grad_norm: 5.5241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1494 loss: 2.1494 2022/07/22 21:55:19 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 1.0000e-02 eta: 17:05:09 time: 0.2310 data_time: 0.0247 memory: 6108 grad_norm: 5.6274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9311 loss: 1.9311 2022/07/22 21:55:23 - mmengine - INFO - Epoch(train) [31][120/3757] lr: 1.0000e-02 eta: 17:05:04 time: 0.2313 data_time: 0.0276 memory: 6108 grad_norm: 5.6110 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0463 loss: 2.0463 2022/07/22 21:55:28 - mmengine - INFO - Epoch(train) [31][140/3757] lr: 1.0000e-02 eta: 17:04:59 time: 0.2199 data_time: 0.0181 memory: 6108 grad_norm: 5.7225 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8441 loss: 1.8441 2022/07/22 21:55:32 - mmengine - INFO - Epoch(train) [31][160/3757] lr: 1.0000e-02 eta: 17:04:54 time: 0.2265 data_time: 0.0208 memory: 6108 grad_norm: 5.7511 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/07/22 21:55:38 - mmengine - INFO - Epoch(train) [31][180/3757] lr: 1.0000e-02 eta: 17:04:51 time: 0.2670 data_time: 0.0239 memory: 6108 grad_norm: 5.4449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1826 loss: 2.1826 2022/07/22 21:55:42 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 1.0000e-02 eta: 17:04:45 time: 0.2223 data_time: 0.0192 memory: 6108 grad_norm: 5.6778 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1492 loss: 2.1492 2022/07/22 21:55:47 - mmengine - INFO - Epoch(train) [31][220/3757] lr: 1.0000e-02 eta: 17:04:41 time: 0.2355 data_time: 0.0209 memory: 6108 grad_norm: 5.5825 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9574 loss: 1.9574 2022/07/22 21:55:51 - mmengine - INFO - Epoch(train) [31][240/3757] lr: 1.0000e-02 eta: 17:04:36 time: 0.2280 data_time: 0.0273 memory: 6108 grad_norm: 5.5729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9173 loss: 1.9173 2022/07/22 21:55:56 - mmengine - INFO - Epoch(train) [31][260/3757] lr: 1.0000e-02 eta: 17:04:31 time: 0.2306 data_time: 0.0222 memory: 6108 grad_norm: 5.7288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0680 loss: 2.0680 2022/07/22 21:56:01 - mmengine - INFO - Epoch(train) [31][280/3757] lr: 1.0000e-02 eta: 17:04:26 time: 0.2315 data_time: 0.0211 memory: 6108 grad_norm: 5.7006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1606 loss: 2.1606 2022/07/22 21:56:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 21:56:06 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 1.0000e-02 eta: 17:04:22 time: 0.2546 data_time: 0.0222 memory: 6108 grad_norm: 5.5199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/07/22 21:56:10 - mmengine - INFO - Epoch(train) [31][320/3757] lr: 1.0000e-02 eta: 17:04:17 time: 0.2248 data_time: 0.0213 memory: 6108 grad_norm: 5.6814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2188 loss: 2.2188 2022/07/22 21:56:15 - mmengine - INFO - Epoch(train) [31][340/3757] lr: 1.0000e-02 eta: 17:04:12 time: 0.2186 data_time: 0.0195 memory: 6108 grad_norm: 5.7900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8521 loss: 1.8521 2022/07/22 21:56:20 - mmengine - INFO - Epoch(train) [31][360/3757] lr: 1.0000e-02 eta: 17:04:08 time: 0.2485 data_time: 0.0314 memory: 6108 grad_norm: 5.8813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0530 loss: 2.0530 2022/07/22 21:56:25 - mmengine - INFO - Epoch(train) [31][380/3757] lr: 1.0000e-02 eta: 17:04:04 time: 0.2501 data_time: 0.0217 memory: 6108 grad_norm: 5.6455 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2019 loss: 2.2019 2022/07/22 21:56:29 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 1.0000e-02 eta: 17:03:59 time: 0.2273 data_time: 0.0205 memory: 6108 grad_norm: 5.4694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9583 loss: 1.9583 2022/07/22 21:56:34 - mmengine - INFO - Epoch(train) [31][420/3757] lr: 1.0000e-02 eta: 17:03:55 time: 0.2384 data_time: 0.0243 memory: 6108 grad_norm: 5.6917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0178 loss: 2.0178 2022/07/22 21:56:38 - mmengine - INFO - Epoch(train) [31][440/3757] lr: 1.0000e-02 eta: 17:03:49 time: 0.2219 data_time: 0.0186 memory: 6108 grad_norm: 5.6639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3009 loss: 2.3009 2022/07/22 21:56:44 - mmengine - INFO - Epoch(train) [31][460/3757] lr: 1.0000e-02 eta: 17:03:46 time: 0.2651 data_time: 0.0173 memory: 6108 grad_norm: 5.6068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7966 loss: 1.7966 2022/07/22 21:56:48 - mmengine - INFO - Epoch(train) [31][480/3757] lr: 1.0000e-02 eta: 17:03:41 time: 0.2250 data_time: 0.0246 memory: 6108 grad_norm: 5.7279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1191 loss: 2.1191 2022/07/22 21:56:53 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 1.0000e-02 eta: 17:03:36 time: 0.2299 data_time: 0.0183 memory: 6108 grad_norm: 5.5959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1117 loss: 2.1117 2022/07/22 21:56:57 - mmengine - INFO - Epoch(train) [31][520/3757] lr: 1.0000e-02 eta: 17:03:31 time: 0.2231 data_time: 0.0241 memory: 6108 grad_norm: 5.6765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8745 loss: 1.8745 2022/07/22 21:57:02 - mmengine - INFO - Epoch(train) [31][540/3757] lr: 1.0000e-02 eta: 17:03:26 time: 0.2299 data_time: 0.0207 memory: 6108 grad_norm: 5.8040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0542 loss: 2.0542 2022/07/22 21:57:07 - mmengine - INFO - Epoch(train) [31][560/3757] lr: 1.0000e-02 eta: 17:03:22 time: 0.2413 data_time: 0.0229 memory: 6108 grad_norm: 5.5645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3561 loss: 2.3561 2022/07/22 21:57:11 - mmengine - INFO - Epoch(train) [31][580/3757] lr: 1.0000e-02 eta: 17:03:17 time: 0.2377 data_time: 0.0173 memory: 6108 grad_norm: 5.5737 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7858 loss: 1.7858 2022/07/22 21:57:16 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 1.0000e-02 eta: 17:03:13 time: 0.2426 data_time: 0.0254 memory: 6108 grad_norm: 5.7544 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0936 loss: 2.0936 2022/07/22 21:57:21 - mmengine - INFO - Epoch(train) [31][620/3757] lr: 1.0000e-02 eta: 17:03:08 time: 0.2272 data_time: 0.0198 memory: 6108 grad_norm: 5.8254 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1558 loss: 2.1558 2022/07/22 21:57:26 - mmengine - INFO - Epoch(train) [31][640/3757] lr: 1.0000e-02 eta: 17:03:03 time: 0.2361 data_time: 0.0169 memory: 6108 grad_norm: 5.6051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9768 loss: 1.9768 2022/07/22 21:57:30 - mmengine - INFO - Epoch(train) [31][660/3757] lr: 1.0000e-02 eta: 17:02:58 time: 0.2292 data_time: 0.0291 memory: 6108 grad_norm: 5.6066 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0288 loss: 2.0288 2022/07/22 21:57:35 - mmengine - INFO - Epoch(train) [31][680/3757] lr: 1.0000e-02 eta: 17:02:54 time: 0.2298 data_time: 0.0276 memory: 6108 grad_norm: 5.7272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0617 loss: 2.0617 2022/07/22 21:57:39 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 1.0000e-02 eta: 17:02:48 time: 0.2250 data_time: 0.0264 memory: 6108 grad_norm: 5.5854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1230 loss: 2.1230 2022/07/22 21:57:44 - mmengine - INFO - Epoch(train) [31][720/3757] lr: 1.0000e-02 eta: 17:02:44 time: 0.2367 data_time: 0.0206 memory: 6108 grad_norm: 5.5964 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0620 loss: 2.0620 2022/07/22 21:57:49 - mmengine - INFO - Epoch(train) [31][740/3757] lr: 1.0000e-02 eta: 17:02:39 time: 0.2264 data_time: 0.0188 memory: 6108 grad_norm: 5.6728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9846 loss: 1.9846 2022/07/22 21:57:53 - mmengine - INFO - Epoch(train) [31][760/3757] lr: 1.0000e-02 eta: 17:02:34 time: 0.2318 data_time: 0.0258 memory: 6108 grad_norm: 5.3661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/07/22 21:57:58 - mmengine - INFO - Epoch(train) [31][780/3757] lr: 1.0000e-02 eta: 17:02:29 time: 0.2294 data_time: 0.0309 memory: 6108 grad_norm: 5.4895 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9212 loss: 1.9212 2022/07/22 21:58:02 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 1.0000e-02 eta: 17:02:24 time: 0.2243 data_time: 0.0227 memory: 6108 grad_norm: 5.6140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8180 loss: 1.8180 2022/07/22 21:58:07 - mmengine - INFO - Epoch(train) [31][820/3757] lr: 1.0000e-02 eta: 17:02:19 time: 0.2348 data_time: 0.0158 memory: 6108 grad_norm: 5.7040 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2110 loss: 2.2110 2022/07/22 21:58:12 - mmengine - INFO - Epoch(train) [31][840/3757] lr: 1.0000e-02 eta: 17:02:15 time: 0.2306 data_time: 0.0275 memory: 6108 grad_norm: 5.6412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7589 loss: 1.7589 2022/07/22 21:58:17 - mmengine - INFO - Epoch(train) [31][860/3757] lr: 1.0000e-02 eta: 17:02:10 time: 0.2463 data_time: 0.0200 memory: 6108 grad_norm: 5.6024 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1634 loss: 2.1634 2022/07/22 21:58:21 - mmengine - INFO - Epoch(train) [31][880/3757] lr: 1.0000e-02 eta: 17:02:05 time: 0.2272 data_time: 0.0206 memory: 6108 grad_norm: 5.6941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9639 loss: 1.9639 2022/07/22 21:58:26 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 1.0000e-02 eta: 17:02:01 time: 0.2421 data_time: 0.0278 memory: 6108 grad_norm: 5.8602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2992 loss: 2.2992 2022/07/22 21:58:31 - mmengine - INFO - Epoch(train) [31][920/3757] lr: 1.0000e-02 eta: 17:01:56 time: 0.2237 data_time: 0.0203 memory: 6108 grad_norm: 5.7238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0160 loss: 2.0160 2022/07/22 21:58:35 - mmengine - INFO - Epoch(train) [31][940/3757] lr: 1.0000e-02 eta: 17:01:51 time: 0.2355 data_time: 0.0203 memory: 6108 grad_norm: 5.7051 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1316 loss: 2.1316 2022/07/22 21:58:40 - mmengine - INFO - Epoch(train) [31][960/3757] lr: 1.0000e-02 eta: 17:01:47 time: 0.2411 data_time: 0.0209 memory: 6108 grad_norm: 5.5371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6787 loss: 1.6787 2022/07/22 21:58:45 - mmengine - INFO - Epoch(train) [31][980/3757] lr: 1.0000e-02 eta: 17:01:43 time: 0.2474 data_time: 0.0179 memory: 6108 grad_norm: 5.6586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9899 loss: 1.9899 2022/07/22 21:58:50 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 1.0000e-02 eta: 17:01:38 time: 0.2237 data_time: 0.0210 memory: 6108 grad_norm: 5.7288 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0014 loss: 2.0014 2022/07/22 21:58:54 - mmengine - INFO - Epoch(train) [31][1020/3757] lr: 1.0000e-02 eta: 17:01:33 time: 0.2260 data_time: 0.0228 memory: 6108 grad_norm: 5.7498 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0538 loss: 2.0538 2022/07/22 21:58:59 - mmengine - INFO - Epoch(train) [31][1040/3757] lr: 1.0000e-02 eta: 17:01:28 time: 0.2276 data_time: 0.0211 memory: 6108 grad_norm: 5.6135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/07/22 21:59:04 - mmengine - INFO - Epoch(train) [31][1060/3757] lr: 1.0000e-02 eta: 17:01:24 time: 0.2450 data_time: 0.0286 memory: 6108 grad_norm: 5.5587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0627 loss: 2.0627 2022/07/22 21:59:08 - mmengine - INFO - Epoch(train) [31][1080/3757] lr: 1.0000e-02 eta: 17:01:19 time: 0.2274 data_time: 0.0205 memory: 6108 grad_norm: 5.5264 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8149 loss: 1.8149 2022/07/22 21:59:13 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 1.0000e-02 eta: 17:01:14 time: 0.2402 data_time: 0.0311 memory: 6108 grad_norm: 5.6538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/07/22 21:59:17 - mmengine - INFO - Epoch(train) [31][1120/3757] lr: 1.0000e-02 eta: 17:01:09 time: 0.2252 data_time: 0.0242 memory: 6108 grad_norm: 5.6169 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1573 loss: 2.1573 2022/07/22 21:59:22 - mmengine - INFO - Epoch(train) [31][1140/3757] lr: 1.0000e-02 eta: 17:01:04 time: 0.2261 data_time: 0.0205 memory: 6108 grad_norm: 5.5766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8360 loss: 1.8360 2022/07/22 21:59:27 - mmengine - INFO - Epoch(train) [31][1160/3757] lr: 1.0000e-02 eta: 17:01:00 time: 0.2355 data_time: 0.0173 memory: 6108 grad_norm: 5.6399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8623 loss: 1.8623 2022/07/22 21:59:31 - mmengine - INFO - Epoch(train) [31][1180/3757] lr: 1.0000e-02 eta: 17:00:55 time: 0.2314 data_time: 0.0201 memory: 6108 grad_norm: 5.5744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7331 loss: 1.7331 2022/07/22 21:59:36 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 1.0000e-02 eta: 17:00:50 time: 0.2278 data_time: 0.0210 memory: 6108 grad_norm: 5.8758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1690 loss: 2.1690 2022/07/22 21:59:41 - mmengine - INFO - Epoch(train) [31][1220/3757] lr: 1.0000e-02 eta: 17:00:47 time: 0.2747 data_time: 0.0679 memory: 6108 grad_norm: 5.8581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1424 loss: 2.1424 2022/07/22 21:59:46 - mmengine - INFO - Epoch(train) [31][1240/3757] lr: 1.0000e-02 eta: 17:00:43 time: 0.2431 data_time: 0.0211 memory: 6108 grad_norm: 5.5416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9751 loss: 1.9751 2022/07/22 21:59:51 - mmengine - INFO - Epoch(train) [31][1260/3757] lr: 1.0000e-02 eta: 17:00:38 time: 0.2272 data_time: 0.0213 memory: 6108 grad_norm: 5.5398 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0748 loss: 2.0748 2022/07/22 21:59:55 - mmengine - INFO - Epoch(train) [31][1280/3757] lr: 1.0000e-02 eta: 17:00:33 time: 0.2301 data_time: 0.0171 memory: 6108 grad_norm: 5.5456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8398 loss: 1.8398 2022/07/22 21:59:58 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:00:00 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 1.0000e-02 eta: 17:00:28 time: 0.2269 data_time: 0.0206 memory: 6108 grad_norm: 5.5192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9339 loss: 1.9339 2022/07/22 22:00:05 - mmengine - INFO - Epoch(train) [31][1320/3757] lr: 1.0000e-02 eta: 17:00:23 time: 0.2349 data_time: 0.0193 memory: 6108 grad_norm: 5.5806 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9721 loss: 1.9721 2022/07/22 22:00:09 - mmengine - INFO - Epoch(train) [31][1340/3757] lr: 1.0000e-02 eta: 17:00:19 time: 0.2348 data_time: 0.0249 memory: 6108 grad_norm: 5.6058 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8883 loss: 1.8883 2022/07/22 22:00:14 - mmengine - INFO - Epoch(train) [31][1360/3757] lr: 1.0000e-02 eta: 17:00:14 time: 0.2288 data_time: 0.0282 memory: 6108 grad_norm: 5.6381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0586 loss: 2.0586 2022/07/22 22:00:18 - mmengine - INFO - Epoch(train) [31][1380/3757] lr: 1.0000e-02 eta: 17:00:09 time: 0.2231 data_time: 0.0185 memory: 6108 grad_norm: 5.6378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0552 loss: 2.0552 2022/07/22 22:00:24 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 1.0000e-02 eta: 17:00:05 time: 0.2597 data_time: 0.0355 memory: 6108 grad_norm: 5.7031 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8955 loss: 1.8955 2022/07/22 22:00:28 - mmengine - INFO - Epoch(train) [31][1420/3757] lr: 1.0000e-02 eta: 17:00:00 time: 0.2226 data_time: 0.0205 memory: 6108 grad_norm: 5.8028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/07/22 22:00:33 - mmengine - INFO - Epoch(train) [31][1440/3757] lr: 1.0000e-02 eta: 16:59:56 time: 0.2417 data_time: 0.0235 memory: 6108 grad_norm: 5.6516 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2778 loss: 2.2778 2022/07/22 22:00:38 - mmengine - INFO - Epoch(train) [31][1460/3757] lr: 1.0000e-02 eta: 16:59:50 time: 0.2265 data_time: 0.0202 memory: 6108 grad_norm: 5.6692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9194 loss: 1.9194 2022/07/22 22:00:42 - mmengine - INFO - Epoch(train) [31][1480/3757] lr: 1.0000e-02 eta: 16:59:46 time: 0.2313 data_time: 0.0226 memory: 6108 grad_norm: 5.4020 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7199 loss: 1.7199 2022/07/22 22:00:47 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 1.0000e-02 eta: 16:59:41 time: 0.2422 data_time: 0.0255 memory: 6108 grad_norm: 5.5224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9872 loss: 1.9872 2022/07/22 22:00:52 - mmengine - INFO - Epoch(train) [31][1520/3757] lr: 1.0000e-02 eta: 16:59:36 time: 0.2276 data_time: 0.0205 memory: 6108 grad_norm: 5.5493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7354 loss: 1.7354 2022/07/22 22:00:56 - mmengine - INFO - Epoch(train) [31][1540/3757] lr: 1.0000e-02 eta: 16:59:32 time: 0.2314 data_time: 0.0250 memory: 6108 grad_norm: 5.6977 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1967 loss: 2.1967 2022/07/22 22:01:01 - mmengine - INFO - Epoch(train) [31][1560/3757] lr: 1.0000e-02 eta: 16:59:27 time: 0.2274 data_time: 0.0196 memory: 6108 grad_norm: 5.7704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1454 loss: 2.1454 2022/07/22 22:01:05 - mmengine - INFO - Epoch(train) [31][1580/3757] lr: 1.0000e-02 eta: 16:59:22 time: 0.2316 data_time: 0.0200 memory: 6108 grad_norm: 5.7819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1395 loss: 2.1395 2022/07/22 22:01:10 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 1.0000e-02 eta: 16:59:17 time: 0.2411 data_time: 0.0231 memory: 6108 grad_norm: 5.5158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5985 loss: 1.5985 2022/07/22 22:01:15 - mmengine - INFO - Epoch(train) [31][1620/3757] lr: 1.0000e-02 eta: 16:59:13 time: 0.2347 data_time: 0.0218 memory: 6108 grad_norm: 5.7493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/07/22 22:01:20 - mmengine - INFO - Epoch(train) [31][1640/3757] lr: 1.0000e-02 eta: 16:59:09 time: 0.2470 data_time: 0.0192 memory: 6108 grad_norm: 5.7790 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1048 loss: 2.1048 2022/07/22 22:01:25 - mmengine - INFO - Epoch(train) [31][1660/3757] lr: 1.0000e-02 eta: 16:59:04 time: 0.2361 data_time: 0.0243 memory: 6108 grad_norm: 5.6511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2575 loss: 2.2575 2022/07/22 22:01:29 - mmengine - INFO - Epoch(train) [31][1680/3757] lr: 1.0000e-02 eta: 16:58:59 time: 0.2251 data_time: 0.0203 memory: 6108 grad_norm: 5.6029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0349 loss: 2.0349 2022/07/22 22:01:34 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 1.0000e-02 eta: 16:58:54 time: 0.2254 data_time: 0.0189 memory: 6108 grad_norm: 5.6351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/07/22 22:01:38 - mmengine - INFO - Epoch(train) [31][1720/3757] lr: 1.0000e-02 eta: 16:58:49 time: 0.2297 data_time: 0.0272 memory: 6108 grad_norm: 5.8208 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9107 loss: 1.9107 2022/07/22 22:01:43 - mmengine - INFO - Epoch(train) [31][1740/3757] lr: 1.0000e-02 eta: 16:58:45 time: 0.2405 data_time: 0.0182 memory: 6108 grad_norm: 5.6764 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/07/22 22:01:48 - mmengine - INFO - Epoch(train) [31][1760/3757] lr: 1.0000e-02 eta: 16:58:40 time: 0.2258 data_time: 0.0201 memory: 6108 grad_norm: 5.6669 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3362 loss: 2.3362 2022/07/22 22:01:52 - mmengine - INFO - Epoch(train) [31][1780/3757] lr: 1.0000e-02 eta: 16:58:35 time: 0.2315 data_time: 0.0218 memory: 6108 grad_norm: 5.6665 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8139 loss: 1.8139 2022/07/22 22:01:57 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 1.0000e-02 eta: 16:58:30 time: 0.2272 data_time: 0.0221 memory: 6108 grad_norm: 5.8091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1676 loss: 2.1676 2022/07/22 22:02:01 - mmengine - INFO - Epoch(train) [31][1820/3757] lr: 1.0000e-02 eta: 16:58:25 time: 0.2273 data_time: 0.0205 memory: 6108 grad_norm: 5.8023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9190 loss: 1.9190 2022/07/22 22:02:07 - mmengine - INFO - Epoch(train) [31][1840/3757] lr: 1.0000e-02 eta: 16:58:22 time: 0.2657 data_time: 0.0248 memory: 6108 grad_norm: 5.5849 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9125 loss: 1.9125 2022/07/22 22:02:11 - mmengine - INFO - Epoch(train) [31][1860/3757] lr: 1.0000e-02 eta: 16:58:16 time: 0.2220 data_time: 0.0240 memory: 6108 grad_norm: 5.5914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1307 loss: 2.1307 2022/07/22 22:02:16 - mmengine - INFO - Epoch(train) [31][1880/3757] lr: 1.0000e-02 eta: 16:58:12 time: 0.2330 data_time: 0.0178 memory: 6108 grad_norm: 5.6286 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9248 loss: 1.9248 2022/07/22 22:02:20 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 1.0000e-02 eta: 16:58:07 time: 0.2230 data_time: 0.0213 memory: 6108 grad_norm: 5.6604 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2885 loss: 2.2885 2022/07/22 22:02:25 - mmengine - INFO - Epoch(train) [31][1920/3757] lr: 1.0000e-02 eta: 16:58:03 time: 0.2536 data_time: 0.0235 memory: 6108 grad_norm: 5.6192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0441 loss: 2.0441 2022/07/22 22:02:30 - mmengine - INFO - Epoch(train) [31][1940/3757] lr: 1.0000e-02 eta: 16:57:58 time: 0.2256 data_time: 0.0220 memory: 6108 grad_norm: 5.5119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1494 loss: 2.1494 2022/07/22 22:02:34 - mmengine - INFO - Epoch(train) [31][1960/3757] lr: 1.0000e-02 eta: 16:57:53 time: 0.2247 data_time: 0.0197 memory: 6108 grad_norm: 5.4428 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9694 loss: 1.9694 2022/07/22 22:02:39 - mmengine - INFO - Epoch(train) [31][1980/3757] lr: 1.0000e-02 eta: 16:57:48 time: 0.2271 data_time: 0.0175 memory: 6108 grad_norm: 5.6953 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2162 loss: 2.2162 2022/07/22 22:02:44 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 1.0000e-02 eta: 16:57:43 time: 0.2310 data_time: 0.0284 memory: 6108 grad_norm: 5.7600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9308 loss: 1.9308 2022/07/22 22:02:48 - mmengine - INFO - Epoch(train) [31][2020/3757] lr: 1.0000e-02 eta: 16:57:38 time: 0.2293 data_time: 0.0231 memory: 6108 grad_norm: 5.6456 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2874 loss: 2.2874 2022/07/22 22:02:53 - mmengine - INFO - Epoch(train) [31][2040/3757] lr: 1.0000e-02 eta: 16:57:34 time: 0.2612 data_time: 0.0259 memory: 6108 grad_norm: 5.6078 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7599 loss: 1.7599 2022/07/22 22:02:58 - mmengine - INFO - Epoch(train) [31][2060/3757] lr: 1.0000e-02 eta: 16:57:29 time: 0.2191 data_time: 0.0174 memory: 6108 grad_norm: 5.5799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9294 loss: 1.9294 2022/07/22 22:03:02 - mmengine - INFO - Epoch(train) [31][2080/3757] lr: 1.0000e-02 eta: 16:57:24 time: 0.2256 data_time: 0.0269 memory: 6108 grad_norm: 5.5844 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1089 loss: 2.1089 2022/07/22 22:03:07 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 1.0000e-02 eta: 16:57:19 time: 0.2351 data_time: 0.0159 memory: 6108 grad_norm: 5.5582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8577 loss: 1.8577 2022/07/22 22:03:12 - mmengine - INFO - Epoch(train) [31][2120/3757] lr: 1.0000e-02 eta: 16:57:14 time: 0.2236 data_time: 0.0190 memory: 6108 grad_norm: 5.7808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1180 loss: 2.1180 2022/07/22 22:03:16 - mmengine - INFO - Epoch(train) [31][2140/3757] lr: 1.0000e-02 eta: 16:57:09 time: 0.2304 data_time: 0.0196 memory: 6108 grad_norm: 5.6733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9966 loss: 1.9966 2022/07/22 22:03:21 - mmengine - INFO - Epoch(train) [31][2160/3757] lr: 1.0000e-02 eta: 16:57:05 time: 0.2308 data_time: 0.0229 memory: 6108 grad_norm: 5.6490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9374 loss: 1.9374 2022/07/22 22:03:26 - mmengine - INFO - Epoch(train) [31][2180/3757] lr: 1.0000e-02 eta: 16:57:00 time: 0.2400 data_time: 0.0246 memory: 6108 grad_norm: 5.7269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1009 loss: 2.1009 2022/07/22 22:03:30 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 1.0000e-02 eta: 16:56:55 time: 0.2262 data_time: 0.0227 memory: 6108 grad_norm: 5.5813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1366 loss: 2.1366 2022/07/22 22:03:35 - mmengine - INFO - Epoch(train) [31][2220/3757] lr: 1.0000e-02 eta: 16:56:50 time: 0.2270 data_time: 0.0183 memory: 6108 grad_norm: 5.5492 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2727 loss: 2.2727 2022/07/22 22:03:39 - mmengine - INFO - Epoch(train) [31][2240/3757] lr: 1.0000e-02 eta: 16:56:45 time: 0.2282 data_time: 0.0215 memory: 6108 grad_norm: 5.6104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9410 loss: 1.9410 2022/07/22 22:03:44 - mmengine - INFO - Epoch(train) [31][2260/3757] lr: 1.0000e-02 eta: 16:56:42 time: 0.2574 data_time: 0.0239 memory: 6108 grad_norm: 5.6057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0694 loss: 2.0694 2022/07/22 22:03:49 - mmengine - INFO - Epoch(train) [31][2280/3757] lr: 1.0000e-02 eta: 16:56:36 time: 0.2213 data_time: 0.0180 memory: 6108 grad_norm: 5.6739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1265 loss: 2.1265 2022/07/22 22:03:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:03:54 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 1.0000e-02 eta: 16:56:31 time: 0.2291 data_time: 0.0230 memory: 6108 grad_norm: 5.4614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1020 loss: 2.1020 2022/07/22 22:03:58 - mmengine - INFO - Epoch(train) [31][2320/3757] lr: 1.0000e-02 eta: 16:56:27 time: 0.2290 data_time: 0.0241 memory: 6108 grad_norm: 5.7221 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2404 loss: 2.2404 2022/07/22 22:04:03 - mmengine - INFO - Epoch(train) [31][2340/3757] lr: 1.0000e-02 eta: 16:56:21 time: 0.2235 data_time: 0.0195 memory: 6108 grad_norm: 5.3838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/07/22 22:04:08 - mmengine - INFO - Epoch(train) [31][2360/3757] lr: 1.0000e-02 eta: 16:56:18 time: 0.2563 data_time: 0.0185 memory: 6108 grad_norm: 5.7557 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2260 loss: 2.2260 2022/07/22 22:04:12 - mmengine - INFO - Epoch(train) [31][2380/3757] lr: 1.0000e-02 eta: 16:56:13 time: 0.2284 data_time: 0.0196 memory: 6108 grad_norm: 5.7379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0641 loss: 2.0641 2022/07/22 22:04:17 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 1.0000e-02 eta: 16:56:08 time: 0.2305 data_time: 0.0173 memory: 6108 grad_norm: 5.7588 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1679 loss: 2.1679 2022/07/22 22:04:21 - mmengine - INFO - Epoch(train) [31][2420/3757] lr: 1.0000e-02 eta: 16:56:03 time: 0.2273 data_time: 0.0200 memory: 6108 grad_norm: 5.4363 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1043 loss: 2.1043 2022/07/22 22:04:26 - mmengine - INFO - Epoch(train) [31][2440/3757] lr: 1.0000e-02 eta: 16:55:59 time: 0.2405 data_time: 0.0268 memory: 6108 grad_norm: 5.6020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3366 loss: 2.3366 2022/07/22 22:04:31 - mmengine - INFO - Epoch(train) [31][2460/3757] lr: 1.0000e-02 eta: 16:55:53 time: 0.2223 data_time: 0.0186 memory: 6108 grad_norm: 5.6768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0726 loss: 2.0726 2022/07/22 22:04:36 - mmengine - INFO - Epoch(train) [31][2480/3757] lr: 1.0000e-02 eta: 16:55:49 time: 0.2412 data_time: 0.0166 memory: 6108 grad_norm: 5.5836 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0353 loss: 2.0353 2022/07/22 22:04:40 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 1.0000e-02 eta: 16:55:44 time: 0.2286 data_time: 0.0204 memory: 6108 grad_norm: 5.7007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0654 loss: 2.0654 2022/07/22 22:04:45 - mmengine - INFO - Epoch(train) [31][2520/3757] lr: 1.0000e-02 eta: 16:55:39 time: 0.2323 data_time: 0.0257 memory: 6108 grad_norm: 5.7051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9159 loss: 1.9159 2022/07/22 22:04:49 - mmengine - INFO - Epoch(train) [31][2540/3757] lr: 1.0000e-02 eta: 16:55:34 time: 0.2249 data_time: 0.0182 memory: 6108 grad_norm: 5.6998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6801 loss: 1.6801 2022/07/22 22:04:54 - mmengine - INFO - Epoch(train) [31][2560/3757] lr: 1.0000e-02 eta: 16:55:29 time: 0.2280 data_time: 0.0231 memory: 6108 grad_norm: 5.6031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0210 loss: 2.0210 2022/07/22 22:04:59 - mmengine - INFO - Epoch(train) [31][2580/3757] lr: 1.0000e-02 eta: 16:55:26 time: 0.2651 data_time: 0.0233 memory: 6108 grad_norm: 5.4432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9584 loss: 1.9584 2022/07/22 22:05:04 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 1.0000e-02 eta: 16:55:23 time: 0.2586 data_time: 0.0232 memory: 6108 grad_norm: 5.8106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9692 loss: 1.9692 2022/07/22 22:05:09 - mmengine - INFO - Epoch(train) [31][2620/3757] lr: 1.0000e-02 eta: 16:55:17 time: 0.2201 data_time: 0.0217 memory: 6108 grad_norm: 5.6013 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2111 loss: 2.2111 2022/07/22 22:05:13 - mmengine - INFO - Epoch(train) [31][2640/3757] lr: 1.0000e-02 eta: 16:55:12 time: 0.2319 data_time: 0.0316 memory: 6108 grad_norm: 5.6047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9979 loss: 1.9979 2022/07/22 22:05:18 - mmengine - INFO - Epoch(train) [31][2660/3757] lr: 1.0000e-02 eta: 16:55:08 time: 0.2288 data_time: 0.0189 memory: 6108 grad_norm: 5.6051 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8690 loss: 1.8690 2022/07/22 22:05:23 - mmengine - INFO - Epoch(train) [31][2680/3757] lr: 1.0000e-02 eta: 16:55:03 time: 0.2267 data_time: 0.0247 memory: 6108 grad_norm: 5.5137 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9413 loss: 1.9413 2022/07/22 22:05:28 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 1.0000e-02 eta: 16:54:59 time: 0.2584 data_time: 0.0183 memory: 6108 grad_norm: 5.6381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8940 loss: 1.8940 2022/07/22 22:05:32 - mmengine - INFO - Epoch(train) [31][2720/3757] lr: 1.0000e-02 eta: 16:54:54 time: 0.2254 data_time: 0.0211 memory: 6108 grad_norm: 5.6972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/07/22 22:05:37 - mmengine - INFO - Epoch(train) [31][2740/3757] lr: 1.0000e-02 eta: 16:54:49 time: 0.2298 data_time: 0.0238 memory: 6108 grad_norm: 5.7758 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3673 loss: 2.3673 2022/07/22 22:05:42 - mmengine - INFO - Epoch(train) [31][2760/3757] lr: 1.0000e-02 eta: 16:54:44 time: 0.2345 data_time: 0.0245 memory: 6108 grad_norm: 5.6692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0951 loss: 2.0951 2022/07/22 22:05:46 - mmengine - INFO - Epoch(train) [31][2780/3757] lr: 1.0000e-02 eta: 16:54:40 time: 0.2418 data_time: 0.0248 memory: 6108 grad_norm: 5.7072 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8795 loss: 1.8795 2022/07/22 22:05:51 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 1.0000e-02 eta: 16:54:36 time: 0.2428 data_time: 0.0206 memory: 6108 grad_norm: 5.6827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0270 loss: 2.0270 2022/07/22 22:05:56 - mmengine - INFO - Epoch(train) [31][2820/3757] lr: 1.0000e-02 eta: 16:54:30 time: 0.2200 data_time: 0.0181 memory: 6108 grad_norm: 5.5003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1247 loss: 2.1247 2022/07/22 22:06:00 - mmengine - INFO - Epoch(train) [31][2840/3757] lr: 1.0000e-02 eta: 16:54:25 time: 0.2233 data_time: 0.0206 memory: 6108 grad_norm: 5.7507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7636 loss: 1.7636 2022/07/22 22:06:05 - mmengine - INFO - Epoch(train) [31][2860/3757] lr: 1.0000e-02 eta: 16:54:21 time: 0.2474 data_time: 0.0215 memory: 6108 grad_norm: 5.7408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0695 loss: 2.0695 2022/07/22 22:06:10 - mmengine - INFO - Epoch(train) [31][2880/3757] lr: 1.0000e-02 eta: 16:54:16 time: 0.2275 data_time: 0.0215 memory: 6108 grad_norm: 5.7070 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3193 loss: 2.3193 2022/07/22 22:06:14 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 1.0000e-02 eta: 16:54:11 time: 0.2272 data_time: 0.0260 memory: 6108 grad_norm: 5.6694 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8620 loss: 1.8620 2022/07/22 22:06:19 - mmengine - INFO - Epoch(train) [31][2920/3757] lr: 1.0000e-02 eta: 16:54:06 time: 0.2295 data_time: 0.0226 memory: 6108 grad_norm: 5.6393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2013 loss: 2.2013 2022/07/22 22:06:25 - mmengine - INFO - Epoch(train) [31][2940/3757] lr: 1.0000e-02 eta: 16:54:04 time: 0.2859 data_time: 0.0204 memory: 6108 grad_norm: 5.6341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1166 loss: 2.1166 2022/07/22 22:06:29 - mmengine - INFO - Epoch(train) [31][2960/3757] lr: 1.0000e-02 eta: 16:53:59 time: 0.2199 data_time: 0.0233 memory: 6108 grad_norm: 5.6287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1777 loss: 2.1777 2022/07/22 22:06:34 - mmengine - INFO - Epoch(train) [31][2980/3757] lr: 1.0000e-02 eta: 16:53:54 time: 0.2270 data_time: 0.0184 memory: 6108 grad_norm: 5.6120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0883 loss: 2.0883 2022/07/22 22:06:38 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 1.0000e-02 eta: 16:53:49 time: 0.2296 data_time: 0.0266 memory: 6108 grad_norm: 5.7450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9895 loss: 1.9895 2022/07/22 22:06:43 - mmengine - INFO - Epoch(train) [31][3020/3757] lr: 1.0000e-02 eta: 16:53:44 time: 0.2262 data_time: 0.0251 memory: 6108 grad_norm: 5.9445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0572 loss: 2.0572 2022/07/22 22:06:48 - mmengine - INFO - Epoch(train) [31][3040/3757] lr: 1.0000e-02 eta: 16:53:40 time: 0.2489 data_time: 0.0208 memory: 6108 grad_norm: 5.6366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8465 loss: 1.8465 2022/07/22 22:06:53 - mmengine - INFO - Epoch(train) [31][3060/3757] lr: 1.0000e-02 eta: 16:53:35 time: 0.2374 data_time: 0.0195 memory: 6108 grad_norm: 5.6211 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0087 loss: 2.0087 2022/07/22 22:06:57 - mmengine - INFO - Epoch(train) [31][3080/3757] lr: 1.0000e-02 eta: 16:53:31 time: 0.2338 data_time: 0.0296 memory: 6108 grad_norm: 5.6750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9921 loss: 1.9921 2022/07/22 22:07:02 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 1.0000e-02 eta: 16:53:26 time: 0.2262 data_time: 0.0186 memory: 6108 grad_norm: 5.5321 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1949 loss: 2.1949 2022/07/22 22:07:06 - mmengine - INFO - Epoch(train) [31][3120/3757] lr: 1.0000e-02 eta: 16:53:21 time: 0.2284 data_time: 0.0179 memory: 6108 grad_norm: 5.6513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8553 loss: 1.8553 2022/07/22 22:07:11 - mmengine - INFO - Epoch(train) [31][3140/3757] lr: 1.0000e-02 eta: 16:53:15 time: 0.2210 data_time: 0.0225 memory: 6108 grad_norm: 5.6704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0645 loss: 2.0645 2022/07/22 22:07:16 - mmengine - INFO - Epoch(train) [31][3160/3757] lr: 1.0000e-02 eta: 16:53:11 time: 0.2430 data_time: 0.0230 memory: 6108 grad_norm: 5.6347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7953 loss: 1.7953 2022/07/22 22:07:21 - mmengine - INFO - Epoch(train) [31][3180/3757] lr: 1.0000e-02 eta: 16:53:07 time: 0.2441 data_time: 0.0474 memory: 6108 grad_norm: 5.6636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8986 loss: 1.8986 2022/07/22 22:07:25 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 1.0000e-02 eta: 16:53:03 time: 0.2430 data_time: 0.0253 memory: 6108 grad_norm: 5.6264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1116 loss: 2.1116 2022/07/22 22:07:30 - mmengine - INFO - Epoch(train) [31][3220/3757] lr: 1.0000e-02 eta: 16:52:57 time: 0.2234 data_time: 0.0212 memory: 6108 grad_norm: 5.7840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9348 loss: 1.9348 2022/07/22 22:07:34 - mmengine - INFO - Epoch(train) [31][3240/3757] lr: 1.0000e-02 eta: 16:52:52 time: 0.2248 data_time: 0.0213 memory: 6108 grad_norm: 5.6089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0066 loss: 2.0066 2022/07/22 22:07:39 - mmengine - INFO - Epoch(train) [31][3260/3757] lr: 1.0000e-02 eta: 16:52:47 time: 0.2263 data_time: 0.0215 memory: 6108 grad_norm: 5.8372 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9882 loss: 1.9882 2022/07/22 22:07:44 - mmengine - INFO - Epoch(train) [31][3280/3757] lr: 1.0000e-02 eta: 16:52:43 time: 0.2319 data_time: 0.0197 memory: 6108 grad_norm: 5.6542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9909 loss: 1.9909 2022/07/22 22:07:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:07:48 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 1.0000e-02 eta: 16:52:38 time: 0.2311 data_time: 0.0217 memory: 6108 grad_norm: 5.5464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9585 loss: 1.9585 2022/07/22 22:07:53 - mmengine - INFO - Epoch(train) [31][3320/3757] lr: 1.0000e-02 eta: 16:52:33 time: 0.2368 data_time: 0.0218 memory: 6108 grad_norm: 5.5977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1420 loss: 2.1420 2022/07/22 22:07:58 - mmengine - INFO - Epoch(train) [31][3340/3757] lr: 1.0000e-02 eta: 16:52:29 time: 0.2381 data_time: 0.0256 memory: 6108 grad_norm: 5.6714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0878 loss: 2.0878 2022/07/22 22:08:02 - mmengine - INFO - Epoch(train) [31][3360/3757] lr: 1.0000e-02 eta: 16:52:24 time: 0.2311 data_time: 0.0218 memory: 6108 grad_norm: 5.4434 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1053 loss: 2.1053 2022/07/22 22:08:07 - mmengine - INFO - Epoch(train) [31][3380/3757] lr: 1.0000e-02 eta: 16:52:19 time: 0.2397 data_time: 0.0221 memory: 6108 grad_norm: 5.8063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0142 loss: 2.0142 2022/07/22 22:08:12 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 1.0000e-02 eta: 16:52:15 time: 0.2292 data_time: 0.0228 memory: 6108 grad_norm: 5.4399 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8548 loss: 1.8548 2022/07/22 22:08:17 - mmengine - INFO - Epoch(train) [31][3420/3757] lr: 1.0000e-02 eta: 16:52:12 time: 0.2722 data_time: 0.0197 memory: 6108 grad_norm: 5.5588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/07/22 22:08:22 - mmengine - INFO - Epoch(train) [31][3440/3757] lr: 1.0000e-02 eta: 16:52:06 time: 0.2195 data_time: 0.0195 memory: 6108 grad_norm: 5.6489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0663 loss: 2.0663 2022/07/22 22:08:27 - mmengine - INFO - Epoch(train) [31][3460/3757] lr: 1.0000e-02 eta: 16:52:02 time: 0.2526 data_time: 0.0286 memory: 6108 grad_norm: 5.6012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0557 loss: 2.0557 2022/07/22 22:08:31 - mmengine - INFO - Epoch(train) [31][3480/3757] lr: 1.0000e-02 eta: 16:51:57 time: 0.2269 data_time: 0.0188 memory: 6108 grad_norm: 5.5699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/07/22 22:08:36 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 1.0000e-02 eta: 16:51:53 time: 0.2283 data_time: 0.0222 memory: 6108 grad_norm: 5.8226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7016 loss: 1.7016 2022/07/22 22:08:41 - mmengine - INFO - Epoch(train) [31][3520/3757] lr: 1.0000e-02 eta: 16:51:48 time: 0.2436 data_time: 0.0401 memory: 6108 grad_norm: 5.8961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3361 loss: 2.3361 2022/07/22 22:08:45 - mmengine - INFO - Epoch(train) [31][3540/3757] lr: 1.0000e-02 eta: 16:51:44 time: 0.2345 data_time: 0.0249 memory: 6108 grad_norm: 5.7698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5649 loss: 1.5649 2022/07/22 22:08:50 - mmengine - INFO - Epoch(train) [31][3560/3757] lr: 1.0000e-02 eta: 16:51:39 time: 0.2367 data_time: 0.0239 memory: 6108 grad_norm: 5.7498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2706 loss: 2.2706 2022/07/22 22:08:55 - mmengine - INFO - Epoch(train) [31][3580/3757] lr: 1.0000e-02 eta: 16:51:35 time: 0.2421 data_time: 0.0177 memory: 6108 grad_norm: 5.9087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3128 loss: 2.3128 2022/07/22 22:09:00 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 1.0000e-02 eta: 16:51:30 time: 0.2291 data_time: 0.0255 memory: 6108 grad_norm: 5.8064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1776 loss: 2.1776 2022/07/22 22:09:05 - mmengine - INFO - Epoch(train) [31][3620/3757] lr: 1.0000e-02 eta: 16:51:26 time: 0.2477 data_time: 0.0250 memory: 6108 grad_norm: 5.6786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0505 loss: 2.0505 2022/07/22 22:09:09 - mmengine - INFO - Epoch(train) [31][3640/3757] lr: 1.0000e-02 eta: 16:51:20 time: 0.2183 data_time: 0.0176 memory: 6108 grad_norm: 5.7151 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9156 loss: 1.9156 2022/07/22 22:09:14 - mmengine - INFO - Epoch(train) [31][3660/3757] lr: 1.0000e-02 eta: 16:51:16 time: 0.2440 data_time: 0.0227 memory: 6108 grad_norm: 5.4870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8793 loss: 1.8793 2022/07/22 22:09:19 - mmengine - INFO - Epoch(train) [31][3680/3757] lr: 1.0000e-02 eta: 16:51:12 time: 0.2427 data_time: 0.0428 memory: 6108 grad_norm: 5.7066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1275 loss: 2.1275 2022/07/22 22:09:23 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 1.0000e-02 eta: 16:51:07 time: 0.2257 data_time: 0.0192 memory: 6108 grad_norm: 5.4086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9153 loss: 1.9153 2022/07/22 22:09:28 - mmengine - INFO - Epoch(train) [31][3720/3757] lr: 1.0000e-02 eta: 16:51:02 time: 0.2318 data_time: 0.0190 memory: 6108 grad_norm: 5.6186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0945 loss: 2.0945 2022/07/22 22:09:33 - mmengine - INFO - Epoch(train) [31][3740/3757] lr: 1.0000e-02 eta: 16:50:57 time: 0.2366 data_time: 0.0226 memory: 6108 grad_norm: 5.7166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8779 loss: 1.8779 2022/07/22 22:09:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:09:36 - mmengine - INFO - Epoch(train) [31][3757/3757] lr: 1.0000e-02 eta: 16:50:57 time: 0.1960 data_time: 0.0146 memory: 6108 grad_norm: 5.5825 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0430 loss: 2.0430 2022/07/22 22:09:41 - mmengine - INFO - Epoch(val) [31][20/310] eta: 0:01:17 time: 0.2672 data_time: 0.1861 memory: 1428 2022/07/22 22:09:45 - mmengine - INFO - Epoch(val) [31][40/310] eta: 0:00:54 time: 0.2014 data_time: 0.1211 memory: 1428 2022/07/22 22:09:50 - mmengine - INFO - Epoch(val) [31][60/310] eta: 0:00:56 time: 0.2244 data_time: 0.1475 memory: 1428 2022/07/22 22:09:54 - mmengine - INFO - Epoch(val) [31][80/310] eta: 0:00:45 time: 0.1974 data_time: 0.1198 memory: 1428 2022/07/22 22:09:59 - mmengine - INFO - Epoch(val) [31][100/310] eta: 0:00:50 time: 0.2417 data_time: 0.1639 memory: 1428 2022/07/22 22:10:02 - mmengine - INFO - Epoch(val) [31][120/310] eta: 0:00:34 time: 0.1825 data_time: 0.1070 memory: 1428 2022/07/22 22:10:07 - mmengine - INFO - Epoch(val) [31][140/310] eta: 0:00:39 time: 0.2341 data_time: 0.1510 memory: 1428 2022/07/22 22:10:11 - mmengine - INFO - Epoch(val) [31][160/310] eta: 0:00:29 time: 0.1935 data_time: 0.1150 memory: 1428 2022/07/22 22:10:16 - mmengine - INFO - Epoch(val) [31][180/310] eta: 0:00:31 time: 0.2435 data_time: 0.1681 memory: 1428 2022/07/22 22:10:19 - mmengine - INFO - Epoch(val) [31][200/310] eta: 0:00:19 time: 0.1804 data_time: 0.1046 memory: 1428 2022/07/22 22:10:25 - mmengine - INFO - Epoch(val) [31][220/310] eta: 0:00:24 time: 0.2755 data_time: 0.2007 memory: 1428 2022/07/22 22:10:29 - mmengine - INFO - Epoch(val) [31][240/310] eta: 0:00:13 time: 0.1866 data_time: 0.1114 memory: 1428 2022/07/22 22:10:34 - mmengine - INFO - Epoch(val) [31][260/310] eta: 0:00:12 time: 0.2475 data_time: 0.1725 memory: 1428 2022/07/22 22:10:37 - mmengine - INFO - Epoch(val) [31][280/310] eta: 0:00:05 time: 0.1924 data_time: 0.1159 memory: 1428 2022/07/22 22:10:42 - mmengine - INFO - Epoch(val) [31][300/310] eta: 0:00:02 time: 0.2107 data_time: 0.1386 memory: 1428 2022/07/22 22:10:44 - mmengine - INFO - Epoch(val) [31][310/310] acc/top1: 0.5576 acc/top5: 0.8034 acc/mean1: 0.5576 2022/07/22 22:10:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_30.pth is removed 2022/07/22 22:10:48 - mmengine - INFO - The best checkpoint with 0.5576 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/07/22 22:10:53 - mmengine - INFO - Epoch(train) [32][20/3757] lr: 1.0000e-02 eta: 16:50:42 time: 0.2726 data_time: 0.0843 memory: 6108 grad_norm: 5.6625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9579 loss: 1.9579 2022/07/22 22:10:58 - mmengine - INFO - Epoch(train) [32][40/3757] lr: 1.0000e-02 eta: 16:50:37 time: 0.2265 data_time: 0.0165 memory: 6108 grad_norm: 5.8028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9796 loss: 1.9796 2022/07/22 22:11:02 - mmengine - INFO - Epoch(train) [32][60/3757] lr: 1.0000e-02 eta: 16:50:32 time: 0.2231 data_time: 0.0250 memory: 6108 grad_norm: 5.5410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0789 loss: 2.0789 2022/07/22 22:11:07 - mmengine - INFO - Epoch(train) [32][80/3757] lr: 1.0000e-02 eta: 16:50:28 time: 0.2504 data_time: 0.0175 memory: 6108 grad_norm: 5.6726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8743 loss: 1.8743 2022/07/22 22:11:12 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 1.0000e-02 eta: 16:50:23 time: 0.2382 data_time: 0.0221 memory: 6108 grad_norm: 5.5549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9296 loss: 1.9296 2022/07/22 22:11:17 - mmengine - INFO - Epoch(train) [32][120/3757] lr: 1.0000e-02 eta: 16:50:19 time: 0.2421 data_time: 0.0200 memory: 6108 grad_norm: 5.5162 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9275 loss: 1.9275 2022/07/22 22:11:21 - mmengine - INFO - Epoch(train) [32][140/3757] lr: 1.0000e-02 eta: 16:50:14 time: 0.2248 data_time: 0.0205 memory: 6108 grad_norm: 5.4329 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9193 loss: 1.9193 2022/07/22 22:11:26 - mmengine - INFO - Epoch(train) [32][160/3757] lr: 1.0000e-02 eta: 16:50:09 time: 0.2430 data_time: 0.0217 memory: 6108 grad_norm: 5.4794 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8438 loss: 1.8438 2022/07/22 22:11:31 - mmengine - INFO - Epoch(train) [32][180/3757] lr: 1.0000e-02 eta: 16:50:04 time: 0.2266 data_time: 0.0233 memory: 6108 grad_norm: 5.6802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0820 loss: 2.0820 2022/07/22 22:11:35 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 1.0000e-02 eta: 16:49:59 time: 0.2274 data_time: 0.0177 memory: 6108 grad_norm: 5.8219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1108 loss: 2.1108 2022/07/22 22:11:40 - mmengine - INFO - Epoch(train) [32][220/3757] lr: 1.0000e-02 eta: 16:49:55 time: 0.2356 data_time: 0.0249 memory: 6108 grad_norm: 5.6435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8154 loss: 1.8154 2022/07/22 22:11:45 - mmengine - INFO - Epoch(train) [32][240/3757] lr: 1.0000e-02 eta: 16:49:50 time: 0.2335 data_time: 0.0219 memory: 6108 grad_norm: 5.9337 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2381 loss: 2.2381 2022/07/22 22:11:49 - mmengine - INFO - Epoch(train) [32][260/3757] lr: 1.0000e-02 eta: 16:49:45 time: 0.2303 data_time: 0.0210 memory: 6108 grad_norm: 5.7176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0719 loss: 2.0719 2022/07/22 22:11:54 - mmengine - INFO - Epoch(train) [32][280/3757] lr: 1.0000e-02 eta: 16:49:40 time: 0.2288 data_time: 0.0189 memory: 6108 grad_norm: 5.8249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7600 loss: 1.7600 2022/07/22 22:11:59 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 1.0000e-02 eta: 16:49:35 time: 0.2285 data_time: 0.0220 memory: 6108 grad_norm: 5.5905 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1892 loss: 2.1892 2022/07/22 22:12:03 - mmengine - INFO - Epoch(train) [32][320/3757] lr: 1.0000e-02 eta: 16:49:30 time: 0.2237 data_time: 0.0210 memory: 6108 grad_norm: 5.5637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9695 loss: 1.9695 2022/07/22 22:12:08 - mmengine - INFO - Epoch(train) [32][340/3757] lr: 1.0000e-02 eta: 16:49:27 time: 0.2596 data_time: 0.0252 memory: 6108 grad_norm: 5.4653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7933 loss: 1.7933 2022/07/22 22:12:13 - mmengine - INFO - Epoch(train) [32][360/3757] lr: 1.0000e-02 eta: 16:49:22 time: 0.2240 data_time: 0.0226 memory: 6108 grad_norm: 5.6813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6859 loss: 1.6859 2022/07/22 22:12:17 - mmengine - INFO - Epoch(train) [32][380/3757] lr: 1.0000e-02 eta: 16:49:16 time: 0.2229 data_time: 0.0194 memory: 6108 grad_norm: 5.6709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8491 loss: 1.8491 2022/07/22 22:12:22 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 1.0000e-02 eta: 16:49:12 time: 0.2398 data_time: 0.0222 memory: 6108 grad_norm: 5.5570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8077 loss: 1.8077 2022/07/22 22:12:27 - mmengine - INFO - Epoch(train) [32][420/3757] lr: 1.0000e-02 eta: 16:49:07 time: 0.2337 data_time: 0.0233 memory: 6108 grad_norm: 5.7398 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8181 loss: 1.8181 2022/07/22 22:12:31 - mmengine - INFO - Epoch(train) [32][440/3757] lr: 1.0000e-02 eta: 16:49:02 time: 0.2286 data_time: 0.0171 memory: 6108 grad_norm: 5.7950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9744 loss: 1.9744 2022/07/22 22:12:36 - mmengine - INFO - Epoch(train) [32][460/3757] lr: 1.0000e-02 eta: 16:48:57 time: 0.2254 data_time: 0.0220 memory: 6108 grad_norm: 5.9130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0327 loss: 2.0327 2022/07/22 22:12:40 - mmengine - INFO - Epoch(train) [32][480/3757] lr: 1.0000e-02 eta: 16:48:52 time: 0.2239 data_time: 0.0233 memory: 6108 grad_norm: 5.8905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3013 loss: 2.3013 2022/07/22 22:12:45 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 1.0000e-02 eta: 16:48:48 time: 0.2406 data_time: 0.0181 memory: 6108 grad_norm: 5.8504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0532 loss: 2.0532 2022/07/22 22:12:50 - mmengine - INFO - Epoch(train) [32][520/3757] lr: 1.0000e-02 eta: 16:48:43 time: 0.2290 data_time: 0.0215 memory: 6108 grad_norm: 5.5579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0189 loss: 2.0189 2022/07/22 22:12:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:12:55 - mmengine - INFO - Epoch(train) [32][540/3757] lr: 1.0000e-02 eta: 16:48:39 time: 0.2533 data_time: 0.0245 memory: 6108 grad_norm: 5.6976 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2912 loss: 2.2912 2022/07/22 22:12:59 - mmengine - INFO - Epoch(train) [32][560/3757] lr: 1.0000e-02 eta: 16:48:34 time: 0.2250 data_time: 0.0197 memory: 6108 grad_norm: 5.5453 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7778 loss: 1.7778 2022/07/22 22:13:04 - mmengine - INFO - Epoch(train) [32][580/3757] lr: 1.0000e-02 eta: 16:48:30 time: 0.2552 data_time: 0.0163 memory: 6108 grad_norm: 5.6809 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2097 loss: 2.2097 2022/07/22 22:13:09 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 1.0000e-02 eta: 16:48:26 time: 0.2388 data_time: 0.0232 memory: 6108 grad_norm: 5.4854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0131 loss: 2.0131 2022/07/22 22:13:15 - mmengine - INFO - Epoch(train) [32][620/3757] lr: 1.0000e-02 eta: 16:48:23 time: 0.2656 data_time: 0.0199 memory: 6108 grad_norm: 5.7608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0602 loss: 2.0602 2022/07/22 22:13:19 - mmengine - INFO - Epoch(train) [32][640/3757] lr: 1.0000e-02 eta: 16:48:17 time: 0.2172 data_time: 0.0214 memory: 6108 grad_norm: 5.7774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0144 loss: 2.0144 2022/07/22 22:13:24 - mmengine - INFO - Epoch(train) [32][660/3757] lr: 1.0000e-02 eta: 16:48:13 time: 0.2345 data_time: 0.0246 memory: 6108 grad_norm: 5.5976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0787 loss: 2.0787 2022/07/22 22:13:28 - mmengine - INFO - Epoch(train) [32][680/3757] lr: 1.0000e-02 eta: 16:48:07 time: 0.2245 data_time: 0.0236 memory: 6108 grad_norm: 5.6728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0447 loss: 2.0447 2022/07/22 22:13:33 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 1.0000e-02 eta: 16:48:02 time: 0.2248 data_time: 0.0208 memory: 6108 grad_norm: 5.6026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9576 loss: 1.9576 2022/07/22 22:13:37 - mmengine - INFO - Epoch(train) [32][720/3757] lr: 1.0000e-02 eta: 16:47:58 time: 0.2402 data_time: 0.0184 memory: 6108 grad_norm: 5.6089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9283 loss: 1.9283 2022/07/22 22:13:42 - mmengine - INFO - Epoch(train) [32][740/3757] lr: 1.0000e-02 eta: 16:47:53 time: 0.2249 data_time: 0.0220 memory: 6108 grad_norm: 5.8154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1765 loss: 2.1765 2022/07/22 22:13:47 - mmengine - INFO - Epoch(train) [32][760/3757] lr: 1.0000e-02 eta: 16:47:49 time: 0.2602 data_time: 0.0187 memory: 6108 grad_norm: 5.8205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2872 loss: 2.2872 2022/07/22 22:13:52 - mmengine - INFO - Epoch(train) [32][780/3757] lr: 1.0000e-02 eta: 16:47:44 time: 0.2199 data_time: 0.0212 memory: 6108 grad_norm: 5.5863 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9247 loss: 1.9247 2022/07/22 22:13:57 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 1.0000e-02 eta: 16:47:40 time: 0.2450 data_time: 0.0206 memory: 6108 grad_norm: 5.7986 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1220 loss: 2.1220 2022/07/22 22:14:01 - mmengine - INFO - Epoch(train) [32][820/3757] lr: 1.0000e-02 eta: 16:47:35 time: 0.2258 data_time: 0.0194 memory: 6108 grad_norm: 5.4756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0222 loss: 2.0222 2022/07/22 22:14:06 - mmengine - INFO - Epoch(train) [32][840/3757] lr: 1.0000e-02 eta: 16:47:30 time: 0.2260 data_time: 0.0217 memory: 6108 grad_norm: 5.7547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9874 loss: 1.9874 2022/07/22 22:14:10 - mmengine - INFO - Epoch(train) [32][860/3757] lr: 1.0000e-02 eta: 16:47:25 time: 0.2228 data_time: 0.0201 memory: 6108 grad_norm: 5.7608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2274 loss: 2.2274 2022/07/22 22:14:15 - mmengine - INFO - Epoch(train) [32][880/3757] lr: 1.0000e-02 eta: 16:47:21 time: 0.2552 data_time: 0.0241 memory: 6108 grad_norm: 5.4114 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2131 loss: 2.2131 2022/07/22 22:14:20 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 1.0000e-02 eta: 16:47:16 time: 0.2207 data_time: 0.0196 memory: 6108 grad_norm: 5.7242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9964 loss: 1.9964 2022/07/22 22:14:24 - mmengine - INFO - Epoch(train) [32][920/3757] lr: 1.0000e-02 eta: 16:47:11 time: 0.2258 data_time: 0.0205 memory: 6108 grad_norm: 5.6154 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8732 loss: 1.8732 2022/07/22 22:14:29 - mmengine - INFO - Epoch(train) [32][940/3757] lr: 1.0000e-02 eta: 16:47:06 time: 0.2271 data_time: 0.0230 memory: 6108 grad_norm: 5.4446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0425 loss: 2.0425 2022/07/22 22:14:39 - mmengine - INFO - Epoch(train) [32][960/3757] lr: 1.0000e-02 eta: 16:47:13 time: 0.5044 data_time: 0.0259 memory: 6108 grad_norm: 5.7153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9000 loss: 1.9000 2022/07/22 22:14:43 - mmengine - INFO - Epoch(train) [32][980/3757] lr: 1.0000e-02 eta: 16:47:08 time: 0.2275 data_time: 0.0184 memory: 6108 grad_norm: 5.7178 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9117 loss: 1.9117 2022/07/22 22:14:48 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 1.0000e-02 eta: 16:47:03 time: 0.2293 data_time: 0.0180 memory: 6108 grad_norm: 5.7434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2137 loss: 2.2137 2022/07/22 22:14:53 - mmengine - INFO - Epoch(train) [32][1020/3757] lr: 1.0000e-02 eta: 16:46:58 time: 0.2316 data_time: 0.0264 memory: 6108 grad_norm: 5.6500 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9525 loss: 1.9525 2022/07/22 22:14:58 - mmengine - INFO - Epoch(train) [32][1040/3757] lr: 1.0000e-02 eta: 16:46:54 time: 0.2465 data_time: 0.0240 memory: 6108 grad_norm: 5.5041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9296 loss: 1.9296 2022/07/22 22:15:02 - mmengine - INFO - Epoch(train) [32][1060/3757] lr: 1.0000e-02 eta: 16:46:49 time: 0.2360 data_time: 0.0246 memory: 6108 grad_norm: 5.6735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9707 loss: 1.9707 2022/07/22 22:15:07 - mmengine - INFO - Epoch(train) [32][1080/3757] lr: 1.0000e-02 eta: 16:46:45 time: 0.2443 data_time: 0.0226 memory: 6108 grad_norm: 5.5507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8849 loss: 1.8849 2022/07/22 22:15:12 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 1.0000e-02 eta: 16:46:41 time: 0.2391 data_time: 0.0238 memory: 6108 grad_norm: 5.7632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8676 loss: 1.8676 2022/07/22 22:15:17 - mmengine - INFO - Epoch(train) [32][1120/3757] lr: 1.0000e-02 eta: 16:46:37 time: 0.2530 data_time: 0.0257 memory: 6108 grad_norm: 5.6468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1435 loss: 2.1435 2022/07/22 22:15:22 - mmengine - INFO - Epoch(train) [32][1140/3757] lr: 1.0000e-02 eta: 16:46:32 time: 0.2354 data_time: 0.0221 memory: 6108 grad_norm: 5.7151 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1938 loss: 2.1938 2022/07/22 22:15:26 - mmengine - INFO - Epoch(train) [32][1160/3757] lr: 1.0000e-02 eta: 16:46:27 time: 0.2241 data_time: 0.0243 memory: 6108 grad_norm: 5.6678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7959 loss: 1.7959 2022/07/22 22:15:31 - mmengine - INFO - Epoch(train) [32][1180/3757] lr: 1.0000e-02 eta: 16:46:22 time: 0.2253 data_time: 0.0178 memory: 6108 grad_norm: 5.5916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9263 loss: 1.9263 2022/07/22 22:15:36 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 1.0000e-02 eta: 16:46:18 time: 0.2441 data_time: 0.0233 memory: 6108 grad_norm: 5.8017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9630 loss: 1.9630 2022/07/22 22:15:40 - mmengine - INFO - Epoch(train) [32][1220/3757] lr: 1.0000e-02 eta: 16:46:13 time: 0.2354 data_time: 0.0228 memory: 6108 grad_norm: 5.7531 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0368 loss: 2.0368 2022/07/22 22:15:45 - mmengine - INFO - Epoch(train) [32][1240/3757] lr: 1.0000e-02 eta: 16:46:09 time: 0.2349 data_time: 0.0193 memory: 6108 grad_norm: 5.5139 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1445 loss: 2.1445 2022/07/22 22:15:50 - mmengine - INFO - Epoch(train) [32][1260/3757] lr: 1.0000e-02 eta: 16:46:04 time: 0.2306 data_time: 0.0185 memory: 6108 grad_norm: 5.7600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7951 loss: 1.7951 2022/07/22 22:15:54 - mmengine - INFO - Epoch(train) [32][1280/3757] lr: 1.0000e-02 eta: 16:45:59 time: 0.2348 data_time: 0.0255 memory: 6108 grad_norm: 5.6480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8224 loss: 1.8224 2022/07/22 22:15:59 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 1.0000e-02 eta: 16:45:54 time: 0.2195 data_time: 0.0210 memory: 6108 grad_norm: 5.5969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1241 loss: 2.1241 2022/07/22 22:16:04 - mmengine - INFO - Epoch(train) [32][1320/3757] lr: 1.0000e-02 eta: 16:45:49 time: 0.2341 data_time: 0.0166 memory: 6108 grad_norm: 5.8749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9975 loss: 1.9975 2022/07/22 22:16:09 - mmengine - INFO - Epoch(train) [32][1340/3757] lr: 1.0000e-02 eta: 16:45:45 time: 0.2517 data_time: 0.0172 memory: 6108 grad_norm: 5.6605 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1445 loss: 2.1445 2022/07/22 22:16:13 - mmengine - INFO - Epoch(train) [32][1360/3757] lr: 1.0000e-02 eta: 16:45:40 time: 0.2291 data_time: 0.0219 memory: 6108 grad_norm: 5.6276 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1341 loss: 2.1341 2022/07/22 22:16:18 - mmengine - INFO - Epoch(train) [32][1380/3757] lr: 1.0000e-02 eta: 16:45:36 time: 0.2465 data_time: 0.0178 memory: 6108 grad_norm: 5.7095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9266 loss: 1.9266 2022/07/22 22:16:23 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 1.0000e-02 eta: 16:45:31 time: 0.2299 data_time: 0.0247 memory: 6108 grad_norm: 5.5881 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9831 loss: 1.9831 2022/07/22 22:16:27 - mmengine - INFO - Epoch(train) [32][1420/3757] lr: 1.0000e-02 eta: 16:45:26 time: 0.2277 data_time: 0.0271 memory: 6108 grad_norm: 5.6372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9109 loss: 1.9109 2022/07/22 22:16:32 - mmengine - INFO - Epoch(train) [32][1440/3757] lr: 1.0000e-02 eta: 16:45:21 time: 0.2260 data_time: 0.0199 memory: 6108 grad_norm: 5.5680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2869 loss: 2.2869 2022/07/22 22:16:37 - mmengine - INFO - Epoch(train) [32][1460/3757] lr: 1.0000e-02 eta: 16:45:18 time: 0.2676 data_time: 0.0261 memory: 6108 grad_norm: 5.6549 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8989 loss: 1.8989 2022/07/22 22:16:42 - mmengine - INFO - Epoch(train) [32][1480/3757] lr: 1.0000e-02 eta: 16:45:13 time: 0.2287 data_time: 0.0277 memory: 6108 grad_norm: 5.6317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2452 loss: 2.2452 2022/07/22 22:16:46 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 1.0000e-02 eta: 16:45:09 time: 0.2329 data_time: 0.0244 memory: 6108 grad_norm: 5.5825 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0565 loss: 2.0565 2022/07/22 22:16:51 - mmengine - INFO - Epoch(train) [32][1520/3757] lr: 1.0000e-02 eta: 16:45:04 time: 0.2449 data_time: 0.0243 memory: 6108 grad_norm: 5.7019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8069 loss: 1.8069 2022/07/22 22:16:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:16:56 - mmengine - INFO - Epoch(train) [32][1540/3757] lr: 1.0000e-02 eta: 16:45:00 time: 0.2466 data_time: 0.0193 memory: 6108 grad_norm: 5.6568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1536 loss: 2.1536 2022/07/22 22:17:01 - mmengine - INFO - Epoch(train) [32][1560/3757] lr: 1.0000e-02 eta: 16:44:55 time: 0.2248 data_time: 0.0208 memory: 6108 grad_norm: 5.7554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1732 loss: 2.1732 2022/07/22 22:17:06 - mmengine - INFO - Epoch(train) [32][1580/3757] lr: 1.0000e-02 eta: 16:44:51 time: 0.2557 data_time: 0.0621 memory: 6108 grad_norm: 5.7898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9066 loss: 1.9066 2022/07/22 22:17:11 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 1.0000e-02 eta: 16:44:47 time: 0.2300 data_time: 0.0217 memory: 6108 grad_norm: 5.7160 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9860 loss: 1.9860 2022/07/22 22:17:15 - mmengine - INFO - Epoch(train) [32][1620/3757] lr: 1.0000e-02 eta: 16:44:42 time: 0.2333 data_time: 0.0241 memory: 6108 grad_norm: 5.6679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9654 loss: 1.9654 2022/07/22 22:17:20 - mmengine - INFO - Epoch(train) [32][1640/3757] lr: 1.0000e-02 eta: 16:44:37 time: 0.2263 data_time: 0.0246 memory: 6108 grad_norm: 5.6747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1038 loss: 2.1038 2022/07/22 22:17:24 - mmengine - INFO - Epoch(train) [32][1660/3757] lr: 1.0000e-02 eta: 16:44:32 time: 0.2299 data_time: 0.0252 memory: 6108 grad_norm: 5.6922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0081 loss: 2.0081 2022/07/22 22:17:29 - mmengine - INFO - Epoch(train) [32][1680/3757] lr: 1.0000e-02 eta: 16:44:27 time: 0.2229 data_time: 0.0197 memory: 6108 grad_norm: 5.5933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1033 loss: 2.1033 2022/07/22 22:17:33 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 1.0000e-02 eta: 16:44:22 time: 0.2270 data_time: 0.0252 memory: 6108 grad_norm: 5.8016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9548 loss: 1.9548 2022/07/22 22:17:39 - mmengine - INFO - Epoch(train) [32][1720/3757] lr: 1.0000e-02 eta: 16:44:19 time: 0.2738 data_time: 0.0275 memory: 6108 grad_norm: 5.6394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7536 loss: 1.7536 2022/07/22 22:17:43 - mmengine - INFO - Epoch(train) [32][1740/3757] lr: 1.0000e-02 eta: 16:44:14 time: 0.2301 data_time: 0.0220 memory: 6108 grad_norm: 5.6041 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7530 loss: 1.7530 2022/07/22 22:17:48 - mmengine - INFO - Epoch(train) [32][1760/3757] lr: 1.0000e-02 eta: 16:44:09 time: 0.2256 data_time: 0.0207 memory: 6108 grad_norm: 5.7838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0454 loss: 2.0454 2022/07/22 22:17:53 - mmengine - INFO - Epoch(train) [32][1780/3757] lr: 1.0000e-02 eta: 16:44:04 time: 0.2250 data_time: 0.0186 memory: 6108 grad_norm: 5.7221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0954 loss: 2.0954 2022/07/22 22:17:58 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 1.0000e-02 eta: 16:44:00 time: 0.2495 data_time: 0.0234 memory: 6108 grad_norm: 5.6232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1146 loss: 2.1146 2022/07/22 22:18:02 - mmengine - INFO - Epoch(train) [32][1820/3757] lr: 1.0000e-02 eta: 16:43:55 time: 0.2356 data_time: 0.0165 memory: 6108 grad_norm: 5.5721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3001 loss: 2.3001 2022/07/22 22:18:07 - mmengine - INFO - Epoch(train) [32][1840/3757] lr: 1.0000e-02 eta: 16:43:50 time: 0.2285 data_time: 0.0184 memory: 6108 grad_norm: 5.7901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9656 loss: 1.9656 2022/07/22 22:18:12 - mmengine - INFO - Epoch(train) [32][1860/3757] lr: 1.0000e-02 eta: 16:43:46 time: 0.2419 data_time: 0.0203 memory: 6108 grad_norm: 5.8742 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0666 loss: 2.0666 2022/07/22 22:18:17 - mmengine - INFO - Epoch(train) [32][1880/3757] lr: 1.0000e-02 eta: 16:43:42 time: 0.2445 data_time: 0.0207 memory: 6108 grad_norm: 5.7902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0117 loss: 2.0117 2022/07/22 22:18:21 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 1.0000e-02 eta: 16:43:37 time: 0.2237 data_time: 0.0194 memory: 6108 grad_norm: 5.6575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7843 loss: 1.7843 2022/07/22 22:18:26 - mmengine - INFO - Epoch(train) [32][1920/3757] lr: 1.0000e-02 eta: 16:43:32 time: 0.2343 data_time: 0.0261 memory: 6108 grad_norm: 5.6748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9550 loss: 1.9550 2022/07/22 22:18:30 - mmengine - INFO - Epoch(train) [32][1940/3757] lr: 1.0000e-02 eta: 16:43:27 time: 0.2292 data_time: 0.0223 memory: 6108 grad_norm: 5.6844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2051 loss: 2.2051 2022/07/22 22:18:35 - mmengine - INFO - Epoch(train) [32][1960/3757] lr: 1.0000e-02 eta: 16:43:23 time: 0.2446 data_time: 0.0181 memory: 6108 grad_norm: 5.5765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1867 loss: 2.1867 2022/07/22 22:18:40 - mmengine - INFO - Epoch(train) [32][1980/3757] lr: 1.0000e-02 eta: 16:43:18 time: 0.2299 data_time: 0.0211 memory: 6108 grad_norm: 5.6305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0717 loss: 2.0717 2022/07/22 22:18:44 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 1.0000e-02 eta: 16:43:13 time: 0.2242 data_time: 0.0248 memory: 6108 grad_norm: 5.5677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1833 loss: 2.1833 2022/07/22 22:18:49 - mmengine - INFO - Epoch(train) [32][2020/3757] lr: 1.0000e-02 eta: 16:43:08 time: 0.2247 data_time: 0.0190 memory: 6108 grad_norm: 5.6273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9239 loss: 1.9239 2022/07/22 22:18:53 - mmengine - INFO - Epoch(train) [32][2040/3757] lr: 1.0000e-02 eta: 16:43:03 time: 0.2272 data_time: 0.0222 memory: 6108 grad_norm: 5.7220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9679 loss: 1.9679 2022/07/22 22:18:59 - mmengine - INFO - Epoch(train) [32][2060/3757] lr: 1.0000e-02 eta: 16:42:59 time: 0.2557 data_time: 0.0217 memory: 6108 grad_norm: 5.7507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9920 loss: 1.9920 2022/07/22 22:19:03 - mmengine - INFO - Epoch(train) [32][2080/3757] lr: 1.0000e-02 eta: 16:42:54 time: 0.2309 data_time: 0.0274 memory: 6108 grad_norm: 5.6028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9442 loss: 1.9442 2022/07/22 22:19:08 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 1.0000e-02 eta: 16:42:50 time: 0.2445 data_time: 0.0370 memory: 6108 grad_norm: 5.5609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/07/22 22:19:13 - mmengine - INFO - Epoch(train) [32][2120/3757] lr: 1.0000e-02 eta: 16:42:45 time: 0.2302 data_time: 0.0166 memory: 6108 grad_norm: 5.5219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1280 loss: 2.1280 2022/07/22 22:19:18 - mmengine - INFO - Epoch(train) [32][2140/3757] lr: 1.0000e-02 eta: 16:42:41 time: 0.2431 data_time: 0.0191 memory: 6108 grad_norm: 5.5951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9109 loss: 1.9109 2022/07/22 22:19:22 - mmengine - INFO - Epoch(train) [32][2160/3757] lr: 1.0000e-02 eta: 16:42:36 time: 0.2275 data_time: 0.0197 memory: 6108 grad_norm: 5.4653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2393 loss: 2.2393 2022/07/22 22:19:27 - mmengine - INFO - Epoch(train) [32][2180/3757] lr: 1.0000e-02 eta: 16:42:31 time: 0.2197 data_time: 0.0180 memory: 6108 grad_norm: 5.6332 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1572 loss: 2.1572 2022/07/22 22:19:31 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 1.0000e-02 eta: 16:42:26 time: 0.2240 data_time: 0.0183 memory: 6108 grad_norm: 5.7475 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9231 loss: 1.9231 2022/07/22 22:19:36 - mmengine - INFO - Epoch(train) [32][2220/3757] lr: 1.0000e-02 eta: 16:42:22 time: 0.2607 data_time: 0.0253 memory: 6108 grad_norm: 5.7299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8625 loss: 1.8625 2022/07/22 22:19:41 - mmengine - INFO - Epoch(train) [32][2240/3757] lr: 1.0000e-02 eta: 16:42:17 time: 0.2289 data_time: 0.0239 memory: 6108 grad_norm: 5.6109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8206 loss: 1.8206 2022/07/22 22:19:46 - mmengine - INFO - Epoch(train) [32][2260/3757] lr: 1.0000e-02 eta: 16:42:13 time: 0.2422 data_time: 0.0341 memory: 6108 grad_norm: 5.6988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9423 loss: 1.9423 2022/07/22 22:19:50 - mmengine - INFO - Epoch(train) [32][2280/3757] lr: 1.0000e-02 eta: 16:42:08 time: 0.2257 data_time: 0.0252 memory: 6108 grad_norm: 5.6656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7752 loss: 1.7752 2022/07/22 22:19:55 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 1.0000e-02 eta: 16:42:04 time: 0.2554 data_time: 0.0225 memory: 6108 grad_norm: 5.6250 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0878 loss: 2.0878 2022/07/22 22:20:00 - mmengine - INFO - Epoch(train) [32][2320/3757] lr: 1.0000e-02 eta: 16:41:59 time: 0.2242 data_time: 0.0176 memory: 6108 grad_norm: 5.5561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8767 loss: 1.8767 2022/07/22 22:20:05 - mmengine - INFO - Epoch(train) [32][2340/3757] lr: 1.0000e-02 eta: 16:41:54 time: 0.2342 data_time: 0.0317 memory: 6108 grad_norm: 5.7698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0002 loss: 2.0002 2022/07/22 22:20:09 - mmengine - INFO - Epoch(train) [32][2360/3757] lr: 1.0000e-02 eta: 16:41:49 time: 0.2284 data_time: 0.0190 memory: 6108 grad_norm: 5.7520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1758 loss: 2.1758 2022/07/22 22:20:14 - mmengine - INFO - Epoch(train) [32][2380/3757] lr: 1.0000e-02 eta: 16:41:44 time: 0.2189 data_time: 0.0190 memory: 6108 grad_norm: 5.6985 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3083 loss: 2.3083 2022/07/22 22:20:18 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 1.0000e-02 eta: 16:41:39 time: 0.2285 data_time: 0.0209 memory: 6108 grad_norm: 5.5379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/07/22 22:20:23 - mmengine - INFO - Epoch(train) [32][2420/3757] lr: 1.0000e-02 eta: 16:41:35 time: 0.2495 data_time: 0.0241 memory: 6108 grad_norm: 5.7255 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1972 loss: 2.1972 2022/07/22 22:20:28 - mmengine - INFO - Epoch(train) [32][2440/3757] lr: 1.0000e-02 eta: 16:41:31 time: 0.2445 data_time: 0.0251 memory: 6108 grad_norm: 5.6097 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1060 loss: 2.1060 2022/07/22 22:20:33 - mmengine - INFO - Epoch(train) [32][2460/3757] lr: 1.0000e-02 eta: 16:41:26 time: 0.2245 data_time: 0.0204 memory: 6108 grad_norm: 5.6621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2447 loss: 2.2447 2022/07/22 22:20:37 - mmengine - INFO - Epoch(train) [32][2480/3757] lr: 1.0000e-02 eta: 16:41:21 time: 0.2357 data_time: 0.0185 memory: 6108 grad_norm: 5.6351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8674 loss: 1.8674 2022/07/22 22:20:42 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 1.0000e-02 eta: 16:41:16 time: 0.2241 data_time: 0.0194 memory: 6108 grad_norm: 5.6928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1616 loss: 2.1616 2022/07/22 22:20:46 - mmengine - INFO - Epoch(train) [32][2520/3757] lr: 1.0000e-02 eta: 16:41:11 time: 0.2260 data_time: 0.0215 memory: 6108 grad_norm: 5.6427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9976 loss: 1.9976 2022/07/22 22:20:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:20:51 - mmengine - INFO - Epoch(train) [32][2540/3757] lr: 1.0000e-02 eta: 16:41:06 time: 0.2292 data_time: 0.0260 memory: 6108 grad_norm: 5.5830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1294 loss: 2.1294 2022/07/22 22:20:56 - mmengine - INFO - Epoch(train) [32][2560/3757] lr: 1.0000e-02 eta: 16:41:02 time: 0.2427 data_time: 0.0290 memory: 6108 grad_norm: 5.6809 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0045 loss: 2.0045 2022/07/22 22:21:00 - mmengine - INFO - Epoch(train) [32][2580/3757] lr: 1.0000e-02 eta: 16:40:57 time: 0.2252 data_time: 0.0233 memory: 6108 grad_norm: 5.4871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9607 loss: 1.9607 2022/07/22 22:21:05 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 1.0000e-02 eta: 16:40:52 time: 0.2381 data_time: 0.0362 memory: 6108 grad_norm: 5.6735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6832 loss: 1.6832 2022/07/22 22:21:10 - mmengine - INFO - Epoch(train) [32][2620/3757] lr: 1.0000e-02 eta: 16:40:48 time: 0.2511 data_time: 0.0194 memory: 6108 grad_norm: 5.7403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0564 loss: 2.0564 2022/07/22 22:21:15 - mmengine - INFO - Epoch(train) [32][2640/3757] lr: 1.0000e-02 eta: 16:40:43 time: 0.2263 data_time: 0.0234 memory: 6108 grad_norm: 5.6538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9185 loss: 1.9185 2022/07/22 22:21:19 - mmengine - INFO - Epoch(train) [32][2660/3757] lr: 1.0000e-02 eta: 16:40:39 time: 0.2422 data_time: 0.0326 memory: 6108 grad_norm: 5.5055 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2261 loss: 2.2261 2022/07/22 22:21:24 - mmengine - INFO - Epoch(train) [32][2680/3757] lr: 1.0000e-02 eta: 16:40:34 time: 0.2246 data_time: 0.0179 memory: 6108 grad_norm: 5.7198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1389 loss: 2.1389 2022/07/22 22:21:29 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 1.0000e-02 eta: 16:40:29 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 5.4236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9407 loss: 1.9407 2022/07/22 22:21:33 - mmengine - INFO - Epoch(train) [32][2720/3757] lr: 1.0000e-02 eta: 16:40:24 time: 0.2253 data_time: 0.0234 memory: 6108 grad_norm: 5.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9701 loss: 1.9701 2022/07/22 22:21:38 - mmengine - INFO - Epoch(train) [32][2740/3757] lr: 1.0000e-02 eta: 16:40:20 time: 0.2534 data_time: 0.0211 memory: 6108 grad_norm: 5.6886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9998 loss: 1.9998 2022/07/22 22:21:43 - mmengine - INFO - Epoch(train) [32][2760/3757] lr: 1.0000e-02 eta: 16:40:15 time: 0.2265 data_time: 0.0266 memory: 6108 grad_norm: 5.8321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9584 loss: 1.9584 2022/07/22 22:21:47 - mmengine - INFO - Epoch(train) [32][2780/3757] lr: 1.0000e-02 eta: 16:40:10 time: 0.2298 data_time: 0.0205 memory: 6108 grad_norm: 5.7173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0207 loss: 2.0207 2022/07/22 22:21:52 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 1.0000e-02 eta: 16:40:06 time: 0.2397 data_time: 0.0179 memory: 6108 grad_norm: 5.6172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1090 loss: 2.1090 2022/07/22 22:21:57 - mmengine - INFO - Epoch(train) [32][2820/3757] lr: 1.0000e-02 eta: 16:40:02 time: 0.2461 data_time: 0.0229 memory: 6108 grad_norm: 5.7584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1933 loss: 2.1933 2022/07/22 22:22:02 - mmengine - INFO - Epoch(train) [32][2840/3757] lr: 1.0000e-02 eta: 16:39:57 time: 0.2270 data_time: 0.0260 memory: 6108 grad_norm: 5.7706 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0377 loss: 2.0377 2022/07/22 22:22:06 - mmengine - INFO - Epoch(train) [32][2860/3757] lr: 1.0000e-02 eta: 16:39:52 time: 0.2232 data_time: 0.0236 memory: 6108 grad_norm: 5.9245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8873 loss: 1.8873 2022/07/22 22:22:11 - mmengine - INFO - Epoch(train) [32][2880/3757] lr: 1.0000e-02 eta: 16:39:46 time: 0.2240 data_time: 0.0215 memory: 6108 grad_norm: 5.7122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0418 loss: 2.0418 2022/07/22 22:22:15 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 1.0000e-02 eta: 16:39:42 time: 0.2407 data_time: 0.0212 memory: 6108 grad_norm: 5.6676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2205 loss: 2.2205 2022/07/22 22:22:20 - mmengine - INFO - Epoch(train) [32][2920/3757] lr: 1.0000e-02 eta: 16:39:37 time: 0.2350 data_time: 0.0212 memory: 6108 grad_norm: 5.7274 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9121 loss: 1.9121 2022/07/22 22:22:25 - mmengine - INFO - Epoch(train) [32][2940/3757] lr: 1.0000e-02 eta: 16:39:33 time: 0.2358 data_time: 0.0222 memory: 6108 grad_norm: 5.5943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9561 loss: 1.9561 2022/07/22 22:22:29 - mmengine - INFO - Epoch(train) [32][2960/3757] lr: 1.0000e-02 eta: 16:39:28 time: 0.2233 data_time: 0.0199 memory: 6108 grad_norm: 5.5537 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0438 loss: 2.0438 2022/07/22 22:22:34 - mmengine - INFO - Epoch(train) [32][2980/3757] lr: 1.0000e-02 eta: 16:39:23 time: 0.2333 data_time: 0.0218 memory: 6108 grad_norm: 5.9521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3859 loss: 2.3859 2022/07/22 22:22:39 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 1.0000e-02 eta: 16:39:19 time: 0.2448 data_time: 0.0226 memory: 6108 grad_norm: 5.5231 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2567 loss: 2.2567 2022/07/22 22:22:44 - mmengine - INFO - Epoch(train) [32][3020/3757] lr: 1.0000e-02 eta: 16:39:15 time: 0.2447 data_time: 0.0220 memory: 6108 grad_norm: 5.6588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2974 loss: 2.2974 2022/07/22 22:22:49 - mmengine - INFO - Epoch(train) [32][3040/3757] lr: 1.0000e-02 eta: 16:39:10 time: 0.2431 data_time: 0.0186 memory: 6108 grad_norm: 5.5849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7489 loss: 1.7489 2022/07/22 22:22:53 - mmengine - INFO - Epoch(train) [32][3060/3757] lr: 1.0000e-02 eta: 16:39:05 time: 0.2221 data_time: 0.0240 memory: 6108 grad_norm: 5.6235 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0974 loss: 2.0974 2022/07/22 22:22:58 - mmengine - INFO - Epoch(train) [32][3080/3757] lr: 1.0000e-02 eta: 16:39:01 time: 0.2432 data_time: 0.0201 memory: 6108 grad_norm: 5.6703 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1452 loss: 2.1452 2022/07/22 22:23:03 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 1.0000e-02 eta: 16:38:56 time: 0.2280 data_time: 0.0244 memory: 6108 grad_norm: 5.6479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2081 loss: 2.2081 2022/07/22 22:23:07 - mmengine - INFO - Epoch(train) [32][3120/3757] lr: 1.0000e-02 eta: 16:38:51 time: 0.2293 data_time: 0.0282 memory: 6108 grad_norm: 5.6313 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7644 loss: 1.7644 2022/07/22 22:23:12 - mmengine - INFO - Epoch(train) [32][3140/3757] lr: 1.0000e-02 eta: 16:38:46 time: 0.2225 data_time: 0.0194 memory: 6108 grad_norm: 5.6025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0462 loss: 2.0462 2022/07/22 22:23:17 - mmengine - INFO - Epoch(train) [32][3160/3757] lr: 1.0000e-02 eta: 16:38:41 time: 0.2414 data_time: 0.0220 memory: 6108 grad_norm: 5.5221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0227 loss: 2.0227 2022/07/22 22:23:21 - mmengine - INFO - Epoch(train) [32][3180/3757] lr: 1.0000e-02 eta: 16:38:36 time: 0.2245 data_time: 0.0211 memory: 6108 grad_norm: 5.7424 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1238 loss: 2.1238 2022/07/22 22:23:26 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 1.0000e-02 eta: 16:38:32 time: 0.2455 data_time: 0.0221 memory: 6108 grad_norm: 5.7000 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1395 loss: 2.1395 2022/07/22 22:23:31 - mmengine - INFO - Epoch(train) [32][3220/3757] lr: 1.0000e-02 eta: 16:38:28 time: 0.2440 data_time: 0.0193 memory: 6108 grad_norm: 5.6910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2185 loss: 2.2185 2022/07/22 22:23:36 - mmengine - INFO - Epoch(train) [32][3240/3757] lr: 1.0000e-02 eta: 16:38:23 time: 0.2376 data_time: 0.0260 memory: 6108 grad_norm: 5.5947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0537 loss: 2.0537 2022/07/22 22:23:40 - mmengine - INFO - Epoch(train) [32][3260/3757] lr: 1.0000e-02 eta: 16:38:18 time: 0.2252 data_time: 0.0183 memory: 6108 grad_norm: 5.5236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8761 loss: 1.8761 2022/07/22 22:23:45 - mmengine - INFO - Epoch(train) [32][3280/3757] lr: 1.0000e-02 eta: 16:38:15 time: 0.2644 data_time: 0.0252 memory: 6108 grad_norm: 5.5723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1286 loss: 2.1286 2022/07/22 22:23:50 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 1.0000e-02 eta: 16:38:10 time: 0.2228 data_time: 0.0220 memory: 6108 grad_norm: 5.4764 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8922 loss: 1.8922 2022/07/22 22:23:54 - mmengine - INFO - Epoch(train) [32][3320/3757] lr: 1.0000e-02 eta: 16:38:05 time: 0.2270 data_time: 0.0247 memory: 6108 grad_norm: 5.5686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0594 loss: 2.0594 2022/07/22 22:23:59 - mmengine - INFO - Epoch(train) [32][3340/3757] lr: 1.0000e-02 eta: 16:38:01 time: 0.2464 data_time: 0.0245 memory: 6108 grad_norm: 5.6109 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1995 loss: 2.1995 2022/07/22 22:24:04 - mmengine - INFO - Epoch(train) [32][3360/3757] lr: 1.0000e-02 eta: 16:37:56 time: 0.2267 data_time: 0.0279 memory: 6108 grad_norm: 5.6105 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9381 loss: 1.9381 2022/07/22 22:24:09 - mmengine - INFO - Epoch(train) [32][3380/3757] lr: 1.0000e-02 eta: 16:37:52 time: 0.2468 data_time: 0.0220 memory: 6108 grad_norm: 5.5688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2051 loss: 2.2051 2022/07/22 22:24:13 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 1.0000e-02 eta: 16:37:46 time: 0.2209 data_time: 0.0202 memory: 6108 grad_norm: 5.5901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9736 loss: 1.9736 2022/07/22 22:24:18 - mmengine - INFO - Epoch(train) [32][3420/3757] lr: 1.0000e-02 eta: 16:37:42 time: 0.2407 data_time: 0.0258 memory: 6108 grad_norm: 5.6123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1035 loss: 2.1035 2022/07/22 22:24:23 - mmengine - INFO - Epoch(train) [32][3440/3757] lr: 1.0000e-02 eta: 16:37:37 time: 0.2360 data_time: 0.0188 memory: 6108 grad_norm: 5.7491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9345 loss: 1.9345 2022/07/22 22:24:27 - mmengine - INFO - Epoch(train) [32][3460/3757] lr: 1.0000e-02 eta: 16:37:32 time: 0.2240 data_time: 0.0202 memory: 6108 grad_norm: 5.6724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9969 loss: 1.9969 2022/07/22 22:24:32 - mmengine - INFO - Epoch(train) [32][3480/3757] lr: 1.0000e-02 eta: 16:37:27 time: 0.2273 data_time: 0.0220 memory: 6108 grad_norm: 5.6286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9244 loss: 1.9244 2022/07/22 22:24:37 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 1.0000e-02 eta: 16:37:23 time: 0.2366 data_time: 0.0197 memory: 6108 grad_norm: 5.7060 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1662 loss: 2.1662 2022/07/22 22:24:41 - mmengine - INFO - Epoch(train) [32][3520/3757] lr: 1.0000e-02 eta: 16:37:18 time: 0.2273 data_time: 0.0211 memory: 6108 grad_norm: 5.6056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9078 loss: 1.9078 2022/07/22 22:24:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:24:46 - mmengine - INFO - Epoch(train) [32][3540/3757] lr: 1.0000e-02 eta: 16:37:13 time: 0.2274 data_time: 0.0210 memory: 6108 grad_norm: 5.5781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7849 loss: 1.7849 2022/07/22 22:24:50 - mmengine - INFO - Epoch(train) [32][3560/3757] lr: 1.0000e-02 eta: 16:37:08 time: 0.2239 data_time: 0.0249 memory: 6108 grad_norm: 5.5344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2310 loss: 2.2310 2022/07/22 22:24:55 - mmengine - INFO - Epoch(train) [32][3580/3757] lr: 1.0000e-02 eta: 16:37:03 time: 0.2384 data_time: 0.0195 memory: 6108 grad_norm: 5.6997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8314 loss: 1.8314 2022/07/22 22:25:00 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 1.0000e-02 eta: 16:36:59 time: 0.2407 data_time: 0.0235 memory: 6108 grad_norm: 5.5434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8654 loss: 1.8654 2022/07/22 22:25:04 - mmengine - INFO - Epoch(train) [32][3620/3757] lr: 1.0000e-02 eta: 16:36:54 time: 0.2269 data_time: 0.0195 memory: 6108 grad_norm: 5.6834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0401 loss: 2.0401 2022/07/22 22:25:09 - mmengine - INFO - Epoch(train) [32][3640/3757] lr: 1.0000e-02 eta: 16:36:49 time: 0.2295 data_time: 0.0174 memory: 6108 grad_norm: 5.7065 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8049 loss: 1.8049 2022/07/22 22:25:14 - mmengine - INFO - Epoch(train) [32][3660/3757] lr: 1.0000e-02 eta: 16:36:44 time: 0.2329 data_time: 0.0290 memory: 6108 grad_norm: 5.5482 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6953 loss: 1.6953 2022/07/22 22:25:18 - mmengine - INFO - Epoch(train) [32][3680/3757] lr: 1.0000e-02 eta: 16:36:40 time: 0.2366 data_time: 0.0240 memory: 6108 grad_norm: 5.5801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7794 loss: 1.7794 2022/07/22 22:25:23 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 1.0000e-02 eta: 16:36:36 time: 0.2497 data_time: 0.0166 memory: 6108 grad_norm: 5.6385 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0067 loss: 2.0067 2022/07/22 22:25:28 - mmengine - INFO - Epoch(train) [32][3720/3757] lr: 1.0000e-02 eta: 16:36:31 time: 0.2282 data_time: 0.0243 memory: 6108 grad_norm: 5.6860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0151 loss: 2.0151 2022/07/22 22:25:33 - mmengine - INFO - Epoch(train) [32][3740/3757] lr: 1.0000e-02 eta: 16:36:26 time: 0.2246 data_time: 0.0180 memory: 6108 grad_norm: 5.7142 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0448 loss: 2.0448 2022/07/22 22:25:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:25:36 - mmengine - INFO - Epoch(train) [32][3757/3757] lr: 1.0000e-02 eta: 16:36:26 time: 0.2101 data_time: 0.0142 memory: 6108 grad_norm: 5.7024 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0542 loss: 2.0542 2022/07/22 22:25:42 - mmengine - INFO - Epoch(val) [32][20/310] eta: 0:01:22 time: 0.2844 data_time: 0.2045 memory: 1428 2022/07/22 22:25:46 - mmengine - INFO - Epoch(val) [32][40/310] eta: 0:00:53 time: 0.1971 data_time: 0.1121 memory: 1428 2022/07/22 22:25:50 - mmengine - INFO - Epoch(val) [32][60/310] eta: 0:00:52 time: 0.2086 data_time: 0.1323 memory: 1428 2022/07/22 22:25:54 - mmengine - INFO - Epoch(val) [32][80/310] eta: 0:00:43 time: 0.1883 data_time: 0.1128 memory: 1428 2022/07/22 22:25:58 - mmengine - INFO - Epoch(val) [32][100/310] eta: 0:00:47 time: 0.2275 data_time: 0.1343 memory: 1428 2022/07/22 22:26:03 - mmengine - INFO - Epoch(val) [32][120/310] eta: 0:00:40 time: 0.2116 data_time: 0.1336 memory: 1428 2022/07/22 22:26:07 - mmengine - INFO - Epoch(val) [32][140/310] eta: 0:00:40 time: 0.2411 data_time: 0.1668 memory: 1428 2022/07/22 22:26:11 - mmengine - INFO - Epoch(val) [32][160/310] eta: 0:00:29 time: 0.1955 data_time: 0.1206 memory: 1428 2022/07/22 22:26:16 - mmengine - INFO - Epoch(val) [32][180/310] eta: 0:00:31 time: 0.2403 data_time: 0.1624 memory: 1428 2022/07/22 22:26:20 - mmengine - INFO - Epoch(val) [32][200/310] eta: 0:00:21 time: 0.1909 data_time: 0.1163 memory: 1428 2022/07/22 22:26:25 - mmengine - INFO - Epoch(val) [32][220/310] eta: 0:00:21 time: 0.2394 data_time: 0.1657 memory: 1428 2022/07/22 22:26:28 - mmengine - INFO - Epoch(val) [32][240/310] eta: 0:00:13 time: 0.1899 data_time: 0.1126 memory: 1428 2022/07/22 22:26:33 - mmengine - INFO - Epoch(val) [32][260/310] eta: 0:00:11 time: 0.2372 data_time: 0.1606 memory: 1428 2022/07/22 22:26:37 - mmengine - INFO - Epoch(val) [32][280/310] eta: 0:00:05 time: 0.1927 data_time: 0.0960 memory: 1428 2022/07/22 22:26:41 - mmengine - INFO - Epoch(val) [32][300/310] eta: 0:00:02 time: 0.2047 data_time: 0.1305 memory: 1428 2022/07/22 22:26:45 - mmengine - INFO - Epoch(val) [32][310/310] acc/top1: 0.5546 acc/top5: 0.7945 acc/mean1: 0.5544 2022/07/22 22:26:51 - mmengine - INFO - Epoch(train) [33][20/3757] lr: 1.0000e-02 eta: 16:36:12 time: 0.3197 data_time: 0.0989 memory: 6108 grad_norm: 5.5258 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6703 loss: 1.6703 2022/07/22 22:26:56 - mmengine - INFO - Epoch(train) [33][40/3757] lr: 1.0000e-02 eta: 16:36:08 time: 0.2426 data_time: 0.0420 memory: 6108 grad_norm: 5.4548 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7795 loss: 1.7795 2022/07/22 22:27:01 - mmengine - INFO - Epoch(train) [33][60/3757] lr: 1.0000e-02 eta: 16:36:04 time: 0.2475 data_time: 0.0454 memory: 6108 grad_norm: 5.2891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/07/22 22:27:06 - mmengine - INFO - Epoch(train) [33][80/3757] lr: 1.0000e-02 eta: 16:35:59 time: 0.2396 data_time: 0.0186 memory: 6108 grad_norm: 5.3490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8346 loss: 1.8346 2022/07/22 22:27:11 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 1.0000e-02 eta: 16:35:54 time: 0.2319 data_time: 0.0267 memory: 6108 grad_norm: 5.5703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1279 loss: 2.1279 2022/07/22 22:27:15 - mmengine - INFO - Epoch(train) [33][120/3757] lr: 1.0000e-02 eta: 16:35:50 time: 0.2274 data_time: 0.0219 memory: 6108 grad_norm: 5.8310 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0760 loss: 2.0760 2022/07/22 22:27:20 - mmengine - INFO - Epoch(train) [33][140/3757] lr: 1.0000e-02 eta: 16:35:45 time: 0.2356 data_time: 0.0219 memory: 6108 grad_norm: 5.6042 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1275 loss: 2.1275 2022/07/22 22:27:24 - mmengine - INFO - Epoch(train) [33][160/3757] lr: 1.0000e-02 eta: 16:35:40 time: 0.2262 data_time: 0.0267 memory: 6108 grad_norm: 5.6054 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9879 loss: 1.9879 2022/07/22 22:27:29 - mmengine - INFO - Epoch(train) [33][180/3757] lr: 1.0000e-02 eta: 16:35:35 time: 0.2403 data_time: 0.0203 memory: 6108 grad_norm: 5.7026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9040 loss: 1.9040 2022/07/22 22:27:34 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 1.0000e-02 eta: 16:35:30 time: 0.2252 data_time: 0.0226 memory: 6108 grad_norm: 5.5941 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3601 loss: 2.3601 2022/07/22 22:27:38 - mmengine - INFO - Epoch(train) [33][220/3757] lr: 1.0000e-02 eta: 16:35:26 time: 0.2318 data_time: 0.0268 memory: 6108 grad_norm: 5.6246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9884 loss: 1.9884 2022/07/22 22:27:44 - mmengine - INFO - Epoch(train) [33][240/3757] lr: 1.0000e-02 eta: 16:35:22 time: 0.2634 data_time: 0.0223 memory: 6108 grad_norm: 5.7465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0060 loss: 2.0060 2022/07/22 22:27:49 - mmengine - INFO - Epoch(train) [33][260/3757] lr: 1.0000e-02 eta: 16:35:19 time: 0.2578 data_time: 0.0140 memory: 6108 grad_norm: 5.4562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7817 loss: 1.7817 2022/07/22 22:27:53 - mmengine - INFO - Epoch(train) [33][280/3757] lr: 1.0000e-02 eta: 16:35:14 time: 0.2278 data_time: 0.0224 memory: 6108 grad_norm: 5.6382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/07/22 22:27:58 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 1.0000e-02 eta: 16:35:10 time: 0.2493 data_time: 0.0336 memory: 6108 grad_norm: 5.6995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0945 loss: 2.0945 2022/07/22 22:28:03 - mmengine - INFO - Epoch(train) [33][320/3757] lr: 1.0000e-02 eta: 16:35:05 time: 0.2248 data_time: 0.0259 memory: 6108 grad_norm: 5.7436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0599 loss: 2.0599 2022/07/22 22:28:08 - mmengine - INFO - Epoch(train) [33][340/3757] lr: 1.0000e-02 eta: 16:35:00 time: 0.2410 data_time: 0.0250 memory: 6108 grad_norm: 5.6535 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8917 loss: 1.8917 2022/07/22 22:28:12 - mmengine - INFO - Epoch(train) [33][360/3757] lr: 1.0000e-02 eta: 16:34:55 time: 0.2240 data_time: 0.0163 memory: 6108 grad_norm: 5.5710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9846 loss: 1.9846 2022/07/22 22:28:17 - mmengine - INFO - Epoch(train) [33][380/3757] lr: 1.0000e-02 eta: 16:34:50 time: 0.2282 data_time: 0.0199 memory: 6108 grad_norm: 5.5582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9011 loss: 1.9011 2022/07/22 22:28:21 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 1.0000e-02 eta: 16:34:45 time: 0.2307 data_time: 0.0263 memory: 6108 grad_norm: 5.7001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0158 loss: 2.0158 2022/07/22 22:28:26 - mmengine - INFO - Epoch(train) [33][420/3757] lr: 1.0000e-02 eta: 16:34:40 time: 0.2311 data_time: 0.0177 memory: 6108 grad_norm: 5.6795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3094 loss: 2.3094 2022/07/22 22:28:31 - mmengine - INFO - Epoch(train) [33][440/3757] lr: 1.0000e-02 eta: 16:34:35 time: 0.2245 data_time: 0.0222 memory: 6108 grad_norm: 5.6882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0511 loss: 2.0511 2022/07/22 22:28:35 - mmengine - INFO - Epoch(train) [33][460/3757] lr: 1.0000e-02 eta: 16:34:30 time: 0.2268 data_time: 0.0213 memory: 6108 grad_norm: 5.8114 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/07/22 22:28:40 - mmengine - INFO - Epoch(train) [33][480/3757] lr: 1.0000e-02 eta: 16:34:26 time: 0.2408 data_time: 0.0205 memory: 6108 grad_norm: 5.8506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1536 loss: 2.1536 2022/07/22 22:28:45 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 1.0000e-02 eta: 16:34:22 time: 0.2583 data_time: 0.0184 memory: 6108 grad_norm: 5.5713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9429 loss: 1.9429 2022/07/22 22:28:50 - mmengine - INFO - Epoch(train) [33][520/3757] lr: 1.0000e-02 eta: 16:34:18 time: 0.2444 data_time: 0.0174 memory: 6108 grad_norm: 5.7005 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9412 loss: 1.9412 2022/07/22 22:28:54 - mmengine - INFO - Epoch(train) [33][540/3757] lr: 1.0000e-02 eta: 16:34:13 time: 0.2245 data_time: 0.0183 memory: 6108 grad_norm: 5.8988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9430 loss: 1.9430 2022/07/22 22:28:59 - mmengine - INFO - Epoch(train) [33][560/3757] lr: 1.0000e-02 eta: 16:34:09 time: 0.2377 data_time: 0.0230 memory: 6108 grad_norm: 5.7096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/07/22 22:29:04 - mmengine - INFO - Epoch(train) [33][580/3757] lr: 1.0000e-02 eta: 16:34:03 time: 0.2256 data_time: 0.0215 memory: 6108 grad_norm: 5.6977 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0638 loss: 2.0638 2022/07/22 22:29:08 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 1.0000e-02 eta: 16:33:59 time: 0.2270 data_time: 0.0206 memory: 6108 grad_norm: 5.5053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9832 loss: 1.9832 2022/07/22 22:29:13 - mmengine - INFO - Epoch(train) [33][620/3757] lr: 1.0000e-02 eta: 16:33:54 time: 0.2343 data_time: 0.0275 memory: 6108 grad_norm: 5.8150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0445 loss: 2.0445 2022/07/22 22:29:18 - mmengine - INFO - Epoch(train) [33][640/3757] lr: 1.0000e-02 eta: 16:33:49 time: 0.2269 data_time: 0.0216 memory: 6108 grad_norm: 5.8218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8555 loss: 1.8555 2022/07/22 22:29:22 - mmengine - INFO - Epoch(train) [33][660/3757] lr: 1.0000e-02 eta: 16:33:44 time: 0.2347 data_time: 0.0291 memory: 6108 grad_norm: 5.7717 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0281 loss: 2.0281 2022/07/22 22:29:27 - mmengine - INFO - Epoch(train) [33][680/3757] lr: 1.0000e-02 eta: 16:33:41 time: 0.2607 data_time: 0.0184 memory: 6108 grad_norm: 5.6667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4519 loss: 2.4519 2022/07/22 22:29:32 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 1.0000e-02 eta: 16:33:36 time: 0.2232 data_time: 0.0237 memory: 6108 grad_norm: 5.6796 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8632 loss: 1.8632 2022/07/22 22:29:37 - mmengine - INFO - Epoch(train) [33][720/3757] lr: 1.0000e-02 eta: 16:33:31 time: 0.2427 data_time: 0.0197 memory: 6108 grad_norm: 5.5025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1813 loss: 2.1813 2022/07/22 22:29:41 - mmengine - INFO - Epoch(train) [33][740/3757] lr: 1.0000e-02 eta: 16:33:26 time: 0.2294 data_time: 0.0209 memory: 6108 grad_norm: 5.6901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2192 loss: 2.2192 2022/07/22 22:29:46 - mmengine - INFO - Epoch(train) [33][760/3757] lr: 1.0000e-02 eta: 16:33:22 time: 0.2353 data_time: 0.0241 memory: 6108 grad_norm: 5.7350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0013 loss: 2.0013 2022/07/22 22:29:50 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:29:51 - mmengine - INFO - Epoch(train) [33][780/3757] lr: 1.0000e-02 eta: 16:33:17 time: 0.2269 data_time: 0.0187 memory: 6108 grad_norm: 5.7287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0119 loss: 2.0119 2022/07/22 22:29:55 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 1.0000e-02 eta: 16:33:12 time: 0.2267 data_time: 0.0188 memory: 6108 grad_norm: 5.7653 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/07/22 22:30:00 - mmengine - INFO - Epoch(train) [33][820/3757] lr: 1.0000e-02 eta: 16:33:07 time: 0.2426 data_time: 0.0216 memory: 6108 grad_norm: 5.5680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0444 loss: 2.0444 2022/07/22 22:30:05 - mmengine - INFO - Epoch(train) [33][840/3757] lr: 1.0000e-02 eta: 16:33:03 time: 0.2316 data_time: 0.0310 memory: 6108 grad_norm: 5.4008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0413 loss: 2.0413 2022/07/22 22:30:09 - mmengine - INFO - Epoch(train) [33][860/3757] lr: 1.0000e-02 eta: 16:32:58 time: 0.2332 data_time: 0.0238 memory: 6108 grad_norm: 5.7311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2024 loss: 2.2024 2022/07/22 22:30:14 - mmengine - INFO - Epoch(train) [33][880/3757] lr: 1.0000e-02 eta: 16:32:53 time: 0.2381 data_time: 0.0363 memory: 6108 grad_norm: 5.5615 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8520 loss: 1.8520 2022/07/22 22:30:20 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 1.0000e-02 eta: 16:32:50 time: 0.2725 data_time: 0.0496 memory: 6108 grad_norm: 5.6838 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0263 loss: 2.0263 2022/07/22 22:30:24 - mmengine - INFO - Epoch(train) [33][920/3757] lr: 1.0000e-02 eta: 16:32:46 time: 0.2298 data_time: 0.0190 memory: 6108 grad_norm: 5.7615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/07/22 22:30:29 - mmengine - INFO - Epoch(train) [33][940/3757] lr: 1.0000e-02 eta: 16:32:41 time: 0.2379 data_time: 0.0177 memory: 6108 grad_norm: 5.7140 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0852 loss: 2.0852 2022/07/22 22:30:34 - mmengine - INFO - Epoch(train) [33][960/3757] lr: 1.0000e-02 eta: 16:32:36 time: 0.2236 data_time: 0.0206 memory: 6108 grad_norm: 5.7745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1168 loss: 2.1168 2022/07/22 22:30:38 - mmengine - INFO - Epoch(train) [33][980/3757] lr: 1.0000e-02 eta: 16:32:32 time: 0.2427 data_time: 0.0228 memory: 6108 grad_norm: 5.7282 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9054 loss: 1.9054 2022/07/22 22:30:43 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 1.0000e-02 eta: 16:32:26 time: 0.2244 data_time: 0.0226 memory: 6108 grad_norm: 5.5510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7550 loss: 1.7550 2022/07/22 22:30:48 - mmengine - INFO - Epoch(train) [33][1020/3757] lr: 1.0000e-02 eta: 16:32:22 time: 0.2322 data_time: 0.0200 memory: 6108 grad_norm: 5.5934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8006 loss: 1.8006 2022/07/22 22:30:52 - mmengine - INFO - Epoch(train) [33][1040/3757] lr: 1.0000e-02 eta: 16:32:17 time: 0.2326 data_time: 0.0266 memory: 6108 grad_norm: 5.6900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5977 loss: 1.5977 2022/07/22 22:30:57 - mmengine - INFO - Epoch(train) [33][1060/3757] lr: 1.0000e-02 eta: 16:32:13 time: 0.2496 data_time: 0.0187 memory: 6108 grad_norm: 5.6523 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3100 loss: 2.3100 2022/07/22 22:31:02 - mmengine - INFO - Epoch(train) [33][1080/3757] lr: 1.0000e-02 eta: 16:32:08 time: 0.2282 data_time: 0.0186 memory: 6108 grad_norm: 5.6410 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9946 loss: 1.9946 2022/07/22 22:31:07 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 1.0000e-02 eta: 16:32:04 time: 0.2378 data_time: 0.0209 memory: 6108 grad_norm: 5.7798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0346 loss: 2.0346 2022/07/22 22:31:11 - mmengine - INFO - Epoch(train) [33][1120/3757] lr: 1.0000e-02 eta: 16:31:59 time: 0.2294 data_time: 0.0213 memory: 6108 grad_norm: 5.7735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1027 loss: 2.1027 2022/07/22 22:31:16 - mmengine - INFO - Epoch(train) [33][1140/3757] lr: 1.0000e-02 eta: 16:31:54 time: 0.2314 data_time: 0.0197 memory: 6108 grad_norm: 5.5906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1044 loss: 2.1044 2022/07/22 22:31:20 - mmengine - INFO - Epoch(train) [33][1160/3757] lr: 1.0000e-02 eta: 16:31:49 time: 0.2249 data_time: 0.0238 memory: 6108 grad_norm: 5.5843 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1343 loss: 2.1343 2022/07/22 22:31:25 - mmengine - INFO - Epoch(train) [33][1180/3757] lr: 1.0000e-02 eta: 16:31:44 time: 0.2254 data_time: 0.0214 memory: 6108 grad_norm: 5.6893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2993 loss: 2.2993 2022/07/22 22:31:30 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 1.0000e-02 eta: 16:31:39 time: 0.2345 data_time: 0.0178 memory: 6108 grad_norm: 5.8240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8791 loss: 1.8791 2022/07/22 22:31:34 - mmengine - INFO - Epoch(train) [33][1220/3757] lr: 1.0000e-02 eta: 16:31:34 time: 0.2278 data_time: 0.0246 memory: 6108 grad_norm: 5.5117 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9024 loss: 1.9024 2022/07/22 22:31:40 - mmengine - INFO - Epoch(train) [33][1240/3757] lr: 1.0000e-02 eta: 16:31:31 time: 0.2735 data_time: 0.0485 memory: 6108 grad_norm: 5.6520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3038 loss: 2.3038 2022/07/22 22:31:44 - mmengine - INFO - Epoch(train) [33][1260/3757] lr: 1.0000e-02 eta: 16:31:26 time: 0.2254 data_time: 0.0213 memory: 6108 grad_norm: 5.6390 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7520 loss: 1.7520 2022/07/22 22:31:49 - mmengine - INFO - Epoch(train) [33][1280/3757] lr: 1.0000e-02 eta: 16:31:21 time: 0.2304 data_time: 0.0224 memory: 6108 grad_norm: 5.5409 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9757 loss: 1.9757 2022/07/22 22:31:53 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 1.0000e-02 eta: 16:31:17 time: 0.2328 data_time: 0.0321 memory: 6108 grad_norm: 5.5337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1758 loss: 2.1758 2022/07/22 22:31:58 - mmengine - INFO - Epoch(train) [33][1320/3757] lr: 1.0000e-02 eta: 16:31:13 time: 0.2504 data_time: 0.0309 memory: 6108 grad_norm: 5.8161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9609 loss: 1.9609 2022/07/22 22:32:03 - mmengine - INFO - Epoch(train) [33][1340/3757] lr: 1.0000e-02 eta: 16:31:09 time: 0.2489 data_time: 0.0527 memory: 6108 grad_norm: 5.7309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1224 loss: 2.1224 2022/07/22 22:32:08 - mmengine - INFO - Epoch(train) [33][1360/3757] lr: 1.0000e-02 eta: 16:31:04 time: 0.2315 data_time: 0.0270 memory: 6108 grad_norm: 5.6516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3789 loss: 2.3789 2022/07/22 22:32:13 - mmengine - INFO - Epoch(train) [33][1380/3757] lr: 1.0000e-02 eta: 16:30:59 time: 0.2270 data_time: 0.0198 memory: 6108 grad_norm: 5.8606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9991 loss: 1.9991 2022/07/22 22:32:17 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 1.0000e-02 eta: 16:30:54 time: 0.2403 data_time: 0.0200 memory: 6108 grad_norm: 5.7186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8968 loss: 1.8968 2022/07/22 22:32:22 - mmengine - INFO - Epoch(train) [33][1420/3757] lr: 1.0000e-02 eta: 16:30:49 time: 0.2240 data_time: 0.0253 memory: 6108 grad_norm: 5.6613 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9158 loss: 1.9158 2022/07/22 22:32:26 - mmengine - INFO - Epoch(train) [33][1440/3757] lr: 1.0000e-02 eta: 16:30:44 time: 0.2250 data_time: 0.0187 memory: 6108 grad_norm: 5.6336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9091 loss: 1.9091 2022/07/22 22:32:31 - mmengine - INFO - Epoch(train) [33][1460/3757] lr: 1.0000e-02 eta: 16:30:40 time: 0.2441 data_time: 0.0203 memory: 6108 grad_norm: 5.6407 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9967 loss: 1.9967 2022/07/22 22:32:37 - mmengine - INFO - Epoch(train) [33][1480/3757] lr: 1.0000e-02 eta: 16:30:37 time: 0.2798 data_time: 0.0377 memory: 6108 grad_norm: 5.8224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8146 loss: 1.8146 2022/07/22 22:32:41 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 1.0000e-02 eta: 16:30:32 time: 0.2135 data_time: 0.0159 memory: 6108 grad_norm: 5.8121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8763 loss: 1.8763 2022/07/22 22:32:46 - mmengine - INFO - Epoch(train) [33][1520/3757] lr: 1.0000e-02 eta: 16:30:27 time: 0.2265 data_time: 0.0202 memory: 6108 grad_norm: 5.5426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6924 loss: 1.6924 2022/07/22 22:32:51 - mmengine - INFO - Epoch(train) [33][1540/3757] lr: 1.0000e-02 eta: 16:30:22 time: 0.2363 data_time: 0.0259 memory: 6108 grad_norm: 5.6635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8747 loss: 1.8747 2022/07/22 22:32:55 - mmengine - INFO - Epoch(train) [33][1560/3757] lr: 1.0000e-02 eta: 16:30:17 time: 0.2238 data_time: 0.0212 memory: 6108 grad_norm: 5.7466 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2845 loss: 2.2845 2022/07/22 22:32:59 - mmengine - INFO - Epoch(train) [33][1580/3757] lr: 1.0000e-02 eta: 16:30:12 time: 0.2224 data_time: 0.0183 memory: 6108 grad_norm: 5.5968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0129 loss: 2.0129 2022/07/22 22:33:05 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 1.0000e-02 eta: 16:30:08 time: 0.2558 data_time: 0.0232 memory: 6108 grad_norm: 5.5511 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9654 loss: 1.9654 2022/07/22 22:33:10 - mmengine - INFO - Epoch(train) [33][1620/3757] lr: 1.0000e-02 eta: 16:30:04 time: 0.2481 data_time: 0.0230 memory: 6108 grad_norm: 5.5762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/07/22 22:33:14 - mmengine - INFO - Epoch(train) [33][1640/3757] lr: 1.0000e-02 eta: 16:29:59 time: 0.2324 data_time: 0.0225 memory: 6108 grad_norm: 5.5700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7350 loss: 1.7350 2022/07/22 22:33:19 - mmengine - INFO - Epoch(train) [33][1660/3757] lr: 1.0000e-02 eta: 16:29:54 time: 0.2325 data_time: 0.0293 memory: 6108 grad_norm: 5.7218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3928 loss: 2.3928 2022/07/22 22:33:23 - mmengine - INFO - Epoch(train) [33][1680/3757] lr: 1.0000e-02 eta: 16:29:49 time: 0.2256 data_time: 0.0177 memory: 6108 grad_norm: 5.6387 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2980 loss: 2.2980 2022/07/22 22:33:28 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 1.0000e-02 eta: 16:29:45 time: 0.2354 data_time: 0.0203 memory: 6108 grad_norm: 5.7522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3849 loss: 2.3849 2022/07/22 22:33:33 - mmengine - INFO - Epoch(train) [33][1720/3757] lr: 1.0000e-02 eta: 16:29:40 time: 0.2222 data_time: 0.0214 memory: 6108 grad_norm: 5.6533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8702 loss: 1.8702 2022/07/22 22:33:37 - mmengine - INFO - Epoch(train) [33][1740/3757] lr: 1.0000e-02 eta: 16:29:35 time: 0.2352 data_time: 0.0289 memory: 6108 grad_norm: 5.8816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0307 loss: 2.0307 2022/07/22 22:33:42 - mmengine - INFO - Epoch(train) [33][1760/3757] lr: 1.0000e-02 eta: 16:29:30 time: 0.2253 data_time: 0.0231 memory: 6108 grad_norm: 5.5771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9998 loss: 1.9998 2022/07/22 22:33:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:33:47 - mmengine - INFO - Epoch(train) [33][1780/3757] lr: 1.0000e-02 eta: 16:29:26 time: 0.2469 data_time: 0.0244 memory: 6108 grad_norm: 5.8308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2475 loss: 2.2475 2022/07/22 22:33:51 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 1.0000e-02 eta: 16:29:21 time: 0.2241 data_time: 0.0237 memory: 6108 grad_norm: 5.8149 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7020 loss: 1.7020 2022/07/22 22:33:56 - mmengine - INFO - Epoch(train) [33][1820/3757] lr: 1.0000e-02 eta: 16:29:16 time: 0.2286 data_time: 0.0250 memory: 6108 grad_norm: 5.7871 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0462 loss: 2.0462 2022/07/22 22:34:01 - mmengine - INFO - Epoch(train) [33][1840/3757] lr: 1.0000e-02 eta: 16:29:11 time: 0.2322 data_time: 0.0179 memory: 6108 grad_norm: 5.5130 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8702 loss: 1.8702 2022/07/22 22:34:05 - mmengine - INFO - Epoch(train) [33][1860/3757] lr: 1.0000e-02 eta: 16:29:06 time: 0.2262 data_time: 0.0244 memory: 6108 grad_norm: 5.7426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1077 loss: 2.1077 2022/07/22 22:34:10 - mmengine - INFO - Epoch(train) [33][1880/3757] lr: 1.0000e-02 eta: 16:29:02 time: 0.2547 data_time: 0.0277 memory: 6108 grad_norm: 5.6024 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3696 loss: 2.3696 2022/07/22 22:34:15 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 1.0000e-02 eta: 16:28:57 time: 0.2280 data_time: 0.0214 memory: 6108 grad_norm: 5.5728 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1408 loss: 2.1408 2022/07/22 22:34:19 - mmengine - INFO - Epoch(train) [33][1920/3757] lr: 1.0000e-02 eta: 16:28:52 time: 0.2301 data_time: 0.0247 memory: 6108 grad_norm: 5.7495 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8848 loss: 1.8848 2022/07/22 22:34:24 - mmengine - INFO - Epoch(train) [33][1940/3757] lr: 1.0000e-02 eta: 16:28:48 time: 0.2503 data_time: 0.0247 memory: 6108 grad_norm: 5.6964 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1358 loss: 2.1358 2022/07/22 22:34:29 - mmengine - INFO - Epoch(train) [33][1960/3757] lr: 1.0000e-02 eta: 16:28:44 time: 0.2426 data_time: 0.0210 memory: 6108 grad_norm: 5.6087 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/07/22 22:34:34 - mmengine - INFO - Epoch(train) [33][1980/3757] lr: 1.0000e-02 eta: 16:28:39 time: 0.2238 data_time: 0.0219 memory: 6108 grad_norm: 5.6755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1680 loss: 2.1680 2022/07/22 22:34:38 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 1.0000e-02 eta: 16:28:34 time: 0.2271 data_time: 0.0251 memory: 6108 grad_norm: 5.6507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0311 loss: 2.0311 2022/07/22 22:34:43 - mmengine - INFO - Epoch(train) [33][2020/3757] lr: 1.0000e-02 eta: 16:28:29 time: 0.2280 data_time: 0.0220 memory: 6108 grad_norm: 5.6077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1767 loss: 2.1767 2022/07/22 22:34:48 - mmengine - INFO - Epoch(train) [33][2040/3757] lr: 1.0000e-02 eta: 16:28:25 time: 0.2496 data_time: 0.0310 memory: 6108 grad_norm: 5.6170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8003 loss: 1.8003 2022/07/22 22:34:52 - mmengine - INFO - Epoch(train) [33][2060/3757] lr: 1.0000e-02 eta: 16:28:20 time: 0.2272 data_time: 0.0239 memory: 6108 grad_norm: 5.6107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8463 loss: 1.8463 2022/07/22 22:34:57 - mmengine - INFO - Epoch(train) [33][2080/3757] lr: 1.0000e-02 eta: 16:28:15 time: 0.2341 data_time: 0.0172 memory: 6108 grad_norm: 5.6349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1017 loss: 2.1017 2022/07/22 22:35:02 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 1.0000e-02 eta: 16:28:10 time: 0.2281 data_time: 0.0203 memory: 6108 grad_norm: 5.6292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8080 loss: 1.8080 2022/07/22 22:35:07 - mmengine - INFO - Epoch(train) [33][2120/3757] lr: 1.0000e-02 eta: 16:28:07 time: 0.2705 data_time: 0.0240 memory: 6108 grad_norm: 5.7171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/07/22 22:35:11 - mmengine - INFO - Epoch(train) [33][2140/3757] lr: 1.0000e-02 eta: 16:28:02 time: 0.2171 data_time: 0.0212 memory: 6108 grad_norm: 5.5375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0503 loss: 2.0503 2022/07/22 22:35:16 - mmengine - INFO - Epoch(train) [33][2160/3757] lr: 1.0000e-02 eta: 16:27:57 time: 0.2269 data_time: 0.0216 memory: 6108 grad_norm: 5.7494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9654 loss: 1.9654 2022/07/22 22:35:21 - mmengine - INFO - Epoch(train) [33][2180/3757] lr: 1.0000e-02 eta: 16:27:52 time: 0.2366 data_time: 0.0238 memory: 6108 grad_norm: 5.8882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7327 loss: 1.7327 2022/07/22 22:35:25 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 1.0000e-02 eta: 16:27:47 time: 0.2268 data_time: 0.0230 memory: 6108 grad_norm: 5.6118 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0562 loss: 2.0562 2022/07/22 22:35:31 - mmengine - INFO - Epoch(train) [33][2220/3757] lr: 1.0000e-02 eta: 16:27:45 time: 0.2782 data_time: 0.0260 memory: 6108 grad_norm: 5.5876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1029 loss: 2.1029 2022/07/22 22:35:35 - mmengine - INFO - Epoch(train) [33][2240/3757] lr: 1.0000e-02 eta: 16:27:39 time: 0.2187 data_time: 0.0247 memory: 6108 grad_norm: 5.7088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0898 loss: 2.0898 2022/07/22 22:35:40 - mmengine - INFO - Epoch(train) [33][2260/3757] lr: 1.0000e-02 eta: 16:27:34 time: 0.2301 data_time: 0.0281 memory: 6108 grad_norm: 5.7341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9371 loss: 1.9371 2022/07/22 22:35:45 - mmengine - INFO - Epoch(train) [33][2280/3757] lr: 1.0000e-02 eta: 16:27:30 time: 0.2348 data_time: 0.0185 memory: 6108 grad_norm: 5.5732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7819 loss: 1.7819 2022/07/22 22:35:50 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 1.0000e-02 eta: 16:27:26 time: 0.2458 data_time: 0.0273 memory: 6108 grad_norm: 5.7620 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9967 loss: 1.9967 2022/07/22 22:35:54 - mmengine - INFO - Epoch(train) [33][2320/3757] lr: 1.0000e-02 eta: 16:27:21 time: 0.2314 data_time: 0.0248 memory: 6108 grad_norm: 5.6496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2000 loss: 2.2000 2022/07/22 22:35:59 - mmengine - INFO - Epoch(train) [33][2340/3757] lr: 1.0000e-02 eta: 16:27:16 time: 0.2237 data_time: 0.0205 memory: 6108 grad_norm: 5.6836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1084 loss: 2.1084 2022/07/22 22:36:03 - mmengine - INFO - Epoch(train) [33][2360/3757] lr: 1.0000e-02 eta: 16:27:11 time: 0.2253 data_time: 0.0225 memory: 6108 grad_norm: 5.7740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1481 loss: 2.1481 2022/07/22 22:36:08 - mmengine - INFO - Epoch(train) [33][2380/3757] lr: 1.0000e-02 eta: 16:27:06 time: 0.2449 data_time: 0.0196 memory: 6108 grad_norm: 5.4623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9475 loss: 1.9475 2022/07/22 22:36:13 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 1.0000e-02 eta: 16:27:01 time: 0.2277 data_time: 0.0256 memory: 6108 grad_norm: 5.5145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6865 loss: 1.6865 2022/07/22 22:36:17 - mmengine - INFO - Epoch(train) [33][2420/3757] lr: 1.0000e-02 eta: 16:26:56 time: 0.2261 data_time: 0.0235 memory: 6108 grad_norm: 5.6118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0200 loss: 2.0200 2022/07/22 22:36:22 - mmengine - INFO - Epoch(train) [33][2440/3757] lr: 1.0000e-02 eta: 16:26:51 time: 0.2236 data_time: 0.0190 memory: 6108 grad_norm: 5.5958 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3002 loss: 2.3002 2022/07/22 22:36:27 - mmengine - INFO - Epoch(train) [33][2460/3757] lr: 1.0000e-02 eta: 16:26:48 time: 0.2632 data_time: 0.0451 memory: 6108 grad_norm: 5.6431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0585 loss: 2.0585 2022/07/22 22:36:31 - mmengine - INFO - Epoch(train) [33][2480/3757] lr: 1.0000e-02 eta: 16:26:43 time: 0.2250 data_time: 0.0233 memory: 6108 grad_norm: 5.5268 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/07/22 22:36:36 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 1.0000e-02 eta: 16:26:38 time: 0.2294 data_time: 0.0181 memory: 6108 grad_norm: 5.5397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3508 loss: 2.3508 2022/07/22 22:36:41 - mmengine - INFO - Epoch(train) [33][2520/3757] lr: 1.0000e-02 eta: 16:26:34 time: 0.2482 data_time: 0.0178 memory: 6108 grad_norm: 5.8406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9617 loss: 1.9617 2022/07/22 22:36:46 - mmengine - INFO - Epoch(train) [33][2540/3757] lr: 1.0000e-02 eta: 16:26:29 time: 0.2275 data_time: 0.0205 memory: 6108 grad_norm: 5.6844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8400 loss: 1.8400 2022/07/22 22:36:50 - mmengine - INFO - Epoch(train) [33][2560/3757] lr: 1.0000e-02 eta: 16:26:25 time: 0.2411 data_time: 0.0178 memory: 6108 grad_norm: 5.4993 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1217 loss: 2.1217 2022/07/22 22:36:55 - mmengine - INFO - Epoch(train) [33][2580/3757] lr: 1.0000e-02 eta: 16:26:19 time: 0.2191 data_time: 0.0225 memory: 6108 grad_norm: 5.7156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8610 loss: 1.8610 2022/07/22 22:37:00 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 1.0000e-02 eta: 16:26:16 time: 0.2742 data_time: 0.0171 memory: 6108 grad_norm: 5.5005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8807 loss: 1.8807 2022/07/22 22:37:05 - mmengine - INFO - Epoch(train) [33][2620/3757] lr: 1.0000e-02 eta: 16:26:11 time: 0.2326 data_time: 0.0257 memory: 6108 grad_norm: 5.8446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0797 loss: 2.0797 2022/07/22 22:37:10 - mmengine - INFO - Epoch(train) [33][2640/3757] lr: 1.0000e-02 eta: 16:26:08 time: 0.2528 data_time: 0.0235 memory: 6108 grad_norm: 5.4589 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1400 loss: 2.1400 2022/07/22 22:37:15 - mmengine - INFO - Epoch(train) [33][2660/3757] lr: 1.0000e-02 eta: 16:26:03 time: 0.2435 data_time: 0.0248 memory: 6108 grad_norm: 5.7182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0588 loss: 2.0588 2022/07/22 22:37:20 - mmengine - INFO - Epoch(train) [33][2680/3757] lr: 1.0000e-02 eta: 16:25:59 time: 0.2363 data_time: 0.0218 memory: 6108 grad_norm: 5.5197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8240 loss: 1.8240 2022/07/22 22:37:24 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 1.0000e-02 eta: 16:25:54 time: 0.2245 data_time: 0.0263 memory: 6108 grad_norm: 5.6769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0730 loss: 2.0730 2022/07/22 22:37:29 - mmengine - INFO - Epoch(train) [33][2720/3757] lr: 1.0000e-02 eta: 16:25:49 time: 0.2404 data_time: 0.0178 memory: 6108 grad_norm: 5.4956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0723 loss: 2.0723 2022/07/22 22:37:34 - mmengine - INFO - Epoch(train) [33][2740/3757] lr: 1.0000e-02 eta: 16:25:44 time: 0.2252 data_time: 0.0261 memory: 6108 grad_norm: 5.7671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8705 loss: 1.8705 2022/07/22 22:37:38 - mmengine - INFO - Epoch(train) [33][2760/3757] lr: 1.0000e-02 eta: 16:25:39 time: 0.2285 data_time: 0.0267 memory: 6108 grad_norm: 5.9112 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.0540 loss: 2.0540 2022/07/22 22:37:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:37:43 - mmengine - INFO - Epoch(train) [33][2780/3757] lr: 1.0000e-02 eta: 16:25:34 time: 0.2231 data_time: 0.0197 memory: 6108 grad_norm: 5.6599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0643 loss: 2.0643 2022/07/22 22:37:47 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 1.0000e-02 eta: 16:25:30 time: 0.2428 data_time: 0.0221 memory: 6108 grad_norm: 5.5480 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1918 loss: 2.1918 2022/07/22 22:37:52 - mmengine - INFO - Epoch(train) [33][2820/3757] lr: 1.0000e-02 eta: 16:25:25 time: 0.2322 data_time: 0.0260 memory: 6108 grad_norm: 5.6022 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9151 loss: 1.9151 2022/07/22 22:37:57 - mmengine - INFO - Epoch(train) [33][2840/3757] lr: 1.0000e-02 eta: 16:25:20 time: 0.2323 data_time: 0.0201 memory: 6108 grad_norm: 5.5268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0533 loss: 2.0533 2022/07/22 22:38:02 - mmengine - INFO - Epoch(train) [33][2860/3757] lr: 1.0000e-02 eta: 16:25:17 time: 0.2660 data_time: 0.0192 memory: 6108 grad_norm: 5.8153 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9637 loss: 1.9637 2022/07/22 22:38:07 - mmengine - INFO - Epoch(train) [33][2880/3757] lr: 1.0000e-02 eta: 16:25:13 time: 0.2448 data_time: 0.0293 memory: 6108 grad_norm: 5.8252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9510 loss: 1.9510 2022/07/22 22:38:11 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 1.0000e-02 eta: 16:25:07 time: 0.2165 data_time: 0.0183 memory: 6108 grad_norm: 5.7173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9888 loss: 1.9888 2022/07/22 22:38:16 - mmengine - INFO - Epoch(train) [33][2920/3757] lr: 1.0000e-02 eta: 16:25:02 time: 0.2228 data_time: 0.0215 memory: 6108 grad_norm: 5.5785 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1401 loss: 2.1401 2022/07/22 22:38:21 - mmengine - INFO - Epoch(train) [33][2940/3757] lr: 1.0000e-02 eta: 16:24:58 time: 0.2430 data_time: 0.0256 memory: 6108 grad_norm: 5.5990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3392 loss: 2.3392 2022/07/22 22:38:26 - mmengine - INFO - Epoch(train) [33][2960/3757] lr: 1.0000e-02 eta: 16:24:54 time: 0.2461 data_time: 0.0203 memory: 6108 grad_norm: 5.5786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8018 loss: 1.8018 2022/07/22 22:38:30 - mmengine - INFO - Epoch(train) [33][2980/3757] lr: 1.0000e-02 eta: 16:24:49 time: 0.2328 data_time: 0.0249 memory: 6108 grad_norm: 5.7243 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0873 loss: 2.0873 2022/07/22 22:38:35 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 1.0000e-02 eta: 16:24:45 time: 0.2473 data_time: 0.0243 memory: 6108 grad_norm: 5.7070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/07/22 22:38:40 - mmengine - INFO - Epoch(train) [33][3020/3757] lr: 1.0000e-02 eta: 16:24:40 time: 0.2338 data_time: 0.0241 memory: 6108 grad_norm: 5.8164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1118 loss: 2.1118 2022/07/22 22:38:44 - mmengine - INFO - Epoch(train) [33][3040/3757] lr: 1.0000e-02 eta: 16:24:35 time: 0.2232 data_time: 0.0202 memory: 6108 grad_norm: 5.7771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8987 loss: 1.8987 2022/07/22 22:38:49 - mmengine - INFO - Epoch(train) [33][3060/3757] lr: 1.0000e-02 eta: 16:24:30 time: 0.2389 data_time: 0.0210 memory: 6108 grad_norm: 5.9217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2400 loss: 2.2400 2022/07/22 22:38:54 - mmengine - INFO - Epoch(train) [33][3080/3757] lr: 1.0000e-02 eta: 16:24:25 time: 0.2250 data_time: 0.0180 memory: 6108 grad_norm: 5.5594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1620 loss: 2.1620 2022/07/22 22:38:58 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 1.0000e-02 eta: 16:24:21 time: 0.2319 data_time: 0.0221 memory: 6108 grad_norm: 5.5521 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1543 loss: 2.1543 2022/07/22 22:39:03 - mmengine - INFO - Epoch(train) [33][3120/3757] lr: 1.0000e-02 eta: 16:24:16 time: 0.2240 data_time: 0.0220 memory: 6108 grad_norm: 5.6370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0679 loss: 2.0679 2022/07/22 22:39:08 - mmengine - INFO - Epoch(train) [33][3140/3757] lr: 1.0000e-02 eta: 16:24:12 time: 0.2607 data_time: 0.0169 memory: 6108 grad_norm: 5.5538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1143 loss: 2.1143 2022/07/22 22:39:13 - mmengine - INFO - Epoch(train) [33][3160/3757] lr: 1.0000e-02 eta: 16:24:07 time: 0.2236 data_time: 0.0230 memory: 6108 grad_norm: 5.6343 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0753 loss: 2.0753 2022/07/22 22:39:18 - mmengine - INFO - Epoch(train) [33][3180/3757] lr: 1.0000e-02 eta: 16:24:03 time: 0.2536 data_time: 0.0398 memory: 6108 grad_norm: 5.6627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0249 loss: 2.0249 2022/07/22 22:39:22 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 1.0000e-02 eta: 16:23:58 time: 0.2233 data_time: 0.0211 memory: 6108 grad_norm: 5.5846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7813 loss: 1.7813 2022/07/22 22:39:27 - mmengine - INFO - Epoch(train) [33][3220/3757] lr: 1.0000e-02 eta: 16:23:53 time: 0.2279 data_time: 0.0269 memory: 6108 grad_norm: 5.5537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7656 loss: 1.7656 2022/07/22 22:39:32 - mmengine - INFO - Epoch(train) [33][3240/3757] lr: 1.0000e-02 eta: 16:23:49 time: 0.2495 data_time: 0.0230 memory: 6108 grad_norm: 5.6284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8430 loss: 1.8430 2022/07/22 22:39:36 - mmengine - INFO - Epoch(train) [33][3260/3757] lr: 1.0000e-02 eta: 16:23:44 time: 0.2285 data_time: 0.0288 memory: 6108 grad_norm: 5.7237 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9594 loss: 1.9594 2022/07/22 22:39:41 - mmengine - INFO - Epoch(train) [33][3280/3757] lr: 1.0000e-02 eta: 16:23:40 time: 0.2466 data_time: 0.0222 memory: 6108 grad_norm: 5.6070 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/07/22 22:39:46 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 1.0000e-02 eta: 16:23:35 time: 0.2301 data_time: 0.0287 memory: 6108 grad_norm: 5.6492 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0317 loss: 2.0317 2022/07/22 22:39:50 - mmengine - INFO - Epoch(train) [33][3320/3757] lr: 1.0000e-02 eta: 16:23:30 time: 0.2226 data_time: 0.0181 memory: 6108 grad_norm: 5.8261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8128 loss: 1.8128 2022/07/22 22:39:55 - mmengine - INFO - Epoch(train) [33][3340/3757] lr: 1.0000e-02 eta: 16:23:25 time: 0.2297 data_time: 0.0252 memory: 6108 grad_norm: 5.6934 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3381 loss: 2.3381 2022/07/22 22:40:00 - mmengine - INFO - Epoch(train) [33][3360/3757] lr: 1.0000e-02 eta: 16:23:20 time: 0.2366 data_time: 0.0238 memory: 6108 grad_norm: 5.6572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/07/22 22:40:05 - mmengine - INFO - Epoch(train) [33][3380/3757] lr: 1.0000e-02 eta: 16:23:16 time: 0.2395 data_time: 0.0256 memory: 6108 grad_norm: 5.7589 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1886 loss: 2.1886 2022/07/22 22:40:09 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 1.0000e-02 eta: 16:23:11 time: 0.2310 data_time: 0.0163 memory: 6108 grad_norm: 5.6628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0940 loss: 2.0940 2022/07/22 22:40:14 - mmengine - INFO - Epoch(train) [33][3420/3757] lr: 1.0000e-02 eta: 16:23:06 time: 0.2348 data_time: 0.0252 memory: 6108 grad_norm: 5.4841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6214 loss: 1.6214 2022/07/22 22:40:19 - mmengine - INFO - Epoch(train) [33][3440/3757] lr: 1.0000e-02 eta: 16:23:02 time: 0.2333 data_time: 0.0236 memory: 6108 grad_norm: 5.6952 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7876 loss: 1.7876 2022/07/22 22:40:23 - mmengine - INFO - Epoch(train) [33][3460/3757] lr: 1.0000e-02 eta: 16:22:57 time: 0.2284 data_time: 0.0216 memory: 6108 grad_norm: 5.5868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8401 loss: 1.8401 2022/07/22 22:40:28 - mmengine - INFO - Epoch(train) [33][3480/3757] lr: 1.0000e-02 eta: 16:22:53 time: 0.2498 data_time: 0.0246 memory: 6108 grad_norm: 5.5616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9024 loss: 1.9024 2022/07/22 22:40:33 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 1.0000e-02 eta: 16:22:48 time: 0.2297 data_time: 0.0243 memory: 6108 grad_norm: 5.4873 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0819 loss: 2.0819 2022/07/22 22:40:38 - mmengine - INFO - Epoch(train) [33][3520/3757] lr: 1.0000e-02 eta: 16:22:44 time: 0.2408 data_time: 0.0229 memory: 6108 grad_norm: 5.5003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8616 loss: 1.8616 2022/07/22 22:40:42 - mmengine - INFO - Epoch(train) [33][3540/3757] lr: 1.0000e-02 eta: 16:22:39 time: 0.2279 data_time: 0.0244 memory: 6108 grad_norm: 5.3507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1460 loss: 2.1460 2022/07/22 22:40:47 - mmengine - INFO - Epoch(train) [33][3560/3757] lr: 1.0000e-02 eta: 16:22:34 time: 0.2233 data_time: 0.0218 memory: 6108 grad_norm: 5.5538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8434 loss: 1.8434 2022/07/22 22:40:51 - mmengine - INFO - Epoch(train) [33][3580/3757] lr: 1.0000e-02 eta: 16:22:29 time: 0.2268 data_time: 0.0198 memory: 6108 grad_norm: 5.6435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1753 loss: 2.1753 2022/07/22 22:40:56 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 1.0000e-02 eta: 16:22:24 time: 0.2379 data_time: 0.0202 memory: 6108 grad_norm: 5.6648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7406 loss: 1.7406 2022/07/22 22:41:01 - mmengine - INFO - Epoch(train) [33][3620/3757] lr: 1.0000e-02 eta: 16:22:20 time: 0.2398 data_time: 0.0237 memory: 6108 grad_norm: 5.5289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8781 loss: 1.8781 2022/07/22 22:41:05 - mmengine - INFO - Epoch(train) [33][3640/3757] lr: 1.0000e-02 eta: 16:22:15 time: 0.2314 data_time: 0.0190 memory: 6108 grad_norm: 5.6578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/07/22 22:41:10 - mmengine - INFO - Epoch(train) [33][3660/3757] lr: 1.0000e-02 eta: 16:22:10 time: 0.2301 data_time: 0.0261 memory: 6108 grad_norm: 5.4956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9073 loss: 1.9073 2022/07/22 22:41:14 - mmengine - INFO - Epoch(train) [33][3680/3757] lr: 1.0000e-02 eta: 16:22:05 time: 0.2223 data_time: 0.0202 memory: 6108 grad_norm: 5.5813 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1838 loss: 2.1838 2022/07/22 22:41:19 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 1.0000e-02 eta: 16:22:00 time: 0.2398 data_time: 0.0210 memory: 6108 grad_norm: 5.5247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/07/22 22:41:24 - mmengine - INFO - Epoch(train) [33][3720/3757] lr: 1.0000e-02 eta: 16:21:55 time: 0.2259 data_time: 0.0252 memory: 6108 grad_norm: 5.6441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9876 loss: 1.9876 2022/07/22 22:41:28 - mmengine - INFO - Epoch(train) [33][3740/3757] lr: 1.0000e-02 eta: 16:21:50 time: 0.2232 data_time: 0.0229 memory: 6108 grad_norm: 5.6984 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0230 loss: 2.0230 2022/07/22 22:41:32 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:41:32 - mmengine - INFO - Epoch(train) [33][3757/3757] lr: 1.0000e-02 eta: 16:21:50 time: 0.1966 data_time: 0.0169 memory: 6108 grad_norm: 5.7488 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.2475 loss: 2.2475 2022/07/22 22:41:37 - mmengine - INFO - Epoch(val) [33][20/310] eta: 0:01:19 time: 0.2755 data_time: 0.1825 memory: 1428 2022/07/22 22:41:41 - mmengine - INFO - Epoch(val) [33][40/310] eta: 0:00:49 time: 0.1824 data_time: 0.1062 memory: 1428 2022/07/22 22:41:45 - mmengine - INFO - Epoch(val) [33][60/310] eta: 0:00:55 time: 0.2240 data_time: 0.1457 memory: 1428 2022/07/22 22:41:50 - mmengine - INFO - Epoch(val) [33][80/310] eta: 0:00:49 time: 0.2156 data_time: 0.1387 memory: 1428 2022/07/22 22:41:54 - mmengine - INFO - Epoch(val) [33][100/310] eta: 0:00:44 time: 0.2114 data_time: 0.1353 memory: 1428 2022/07/22 22:41:58 - mmengine - INFO - Epoch(val) [33][120/310] eta: 0:00:38 time: 0.2032 data_time: 0.1221 memory: 1428 2022/07/22 22:42:02 - mmengine - INFO - Epoch(val) [33][140/310] eta: 0:00:38 time: 0.2240 data_time: 0.1503 memory: 1428 2022/07/22 22:42:06 - mmengine - INFO - Epoch(val) [33][160/310] eta: 0:00:29 time: 0.1960 data_time: 0.1209 memory: 1428 2022/07/22 22:42:11 - mmengine - INFO - Epoch(val) [33][180/310] eta: 0:00:28 time: 0.2230 data_time: 0.1479 memory: 1428 2022/07/22 22:42:15 - mmengine - INFO - Epoch(val) [33][200/310] eta: 0:00:21 time: 0.1965 data_time: 0.1227 memory: 1428 2022/07/22 22:42:20 - mmengine - INFO - Epoch(val) [33][220/310] eta: 0:00:25 time: 0.2796 data_time: 0.2032 memory: 1428 2022/07/22 22:42:25 - mmengine - INFO - Epoch(val) [33][240/310] eta: 0:00:16 time: 0.2317 data_time: 0.1556 memory: 1428 2022/07/22 22:42:29 - mmengine - INFO - Epoch(val) [33][260/310] eta: 0:00:09 time: 0.1911 data_time: 0.1150 memory: 1428 2022/07/22 22:42:34 - mmengine - INFO - Epoch(val) [33][280/310] eta: 0:00:07 time: 0.2517 data_time: 0.1760 memory: 1428 2022/07/22 22:42:37 - mmengine - INFO - Epoch(val) [33][300/310] eta: 0:00:01 time: 0.1677 data_time: 0.0945 memory: 1428 2022/07/22 22:42:40 - mmengine - INFO - Epoch(val) [33][310/310] acc/top1: 0.5580 acc/top5: 0.8013 acc/mean1: 0.5579 2022/07/22 22:42:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_32.pth is removed 2022/07/22 22:42:43 - mmengine - INFO - The best checkpoint with 0.5580 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/07/22 22:42:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:42:49 - mmengine - INFO - Epoch(train) [34][20/3757] lr: 1.0000e-02 eta: 16:21:35 time: 0.2789 data_time: 0.0875 memory: 6108 grad_norm: 5.5111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8713 loss: 1.8713 2022/07/22 22:42:53 - mmengine - INFO - Epoch(train) [34][40/3757] lr: 1.0000e-02 eta: 16:21:30 time: 0.2276 data_time: 0.0289 memory: 6108 grad_norm: 5.4820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8480 loss: 1.8480 2022/07/22 22:42:58 - mmengine - INFO - Epoch(train) [34][60/3757] lr: 1.0000e-02 eta: 16:21:26 time: 0.2534 data_time: 0.0233 memory: 6108 grad_norm: 5.4824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0270 loss: 2.0270 2022/07/22 22:43:03 - mmengine - INFO - Epoch(train) [34][80/3757] lr: 1.0000e-02 eta: 16:21:21 time: 0.2206 data_time: 0.0187 memory: 6108 grad_norm: 5.4678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8319 loss: 1.8319 2022/07/22 22:43:07 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 1.0000e-02 eta: 16:21:16 time: 0.2224 data_time: 0.0237 memory: 6108 grad_norm: 5.4809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9109 loss: 1.9109 2022/07/22 22:43:12 - mmengine - INFO - Epoch(train) [34][120/3757] lr: 1.0000e-02 eta: 16:21:12 time: 0.2419 data_time: 0.0436 memory: 6108 grad_norm: 5.5799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8981 loss: 1.8981 2022/07/22 22:43:17 - mmengine - INFO - Epoch(train) [34][140/3757] lr: 1.0000e-02 eta: 16:21:08 time: 0.2533 data_time: 0.0306 memory: 6108 grad_norm: 5.4499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9032 loss: 1.9032 2022/07/22 22:43:22 - mmengine - INFO - Epoch(train) [34][160/3757] lr: 1.0000e-02 eta: 16:21:03 time: 0.2266 data_time: 0.0190 memory: 6108 grad_norm: 5.5780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8972 loss: 1.8972 2022/07/22 22:43:26 - mmengine - INFO - Epoch(train) [34][180/3757] lr: 1.0000e-02 eta: 16:20:58 time: 0.2252 data_time: 0.0240 memory: 6108 grad_norm: 5.5238 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2672 loss: 2.2672 2022/07/22 22:43:31 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 1.0000e-02 eta: 16:20:53 time: 0.2379 data_time: 0.0336 memory: 6108 grad_norm: 5.5992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8237 loss: 1.8237 2022/07/22 22:43:36 - mmengine - INFO - Epoch(train) [34][220/3757] lr: 1.0000e-02 eta: 16:20:48 time: 0.2264 data_time: 0.0214 memory: 6108 grad_norm: 5.8255 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0647 loss: 2.0647 2022/07/22 22:43:41 - mmengine - INFO - Epoch(train) [34][240/3757] lr: 1.0000e-02 eta: 16:20:44 time: 0.2415 data_time: 0.0215 memory: 6108 grad_norm: 5.8394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9378 loss: 1.9378 2022/07/22 22:43:45 - mmengine - INFO - Epoch(train) [34][260/3757] lr: 1.0000e-02 eta: 16:20:39 time: 0.2238 data_time: 0.0177 memory: 6108 grad_norm: 5.8533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3263 loss: 2.3263 2022/07/22 22:43:50 - mmengine - INFO - Epoch(train) [34][280/3757] lr: 1.0000e-02 eta: 16:20:35 time: 0.2440 data_time: 0.0241 memory: 6108 grad_norm: 5.7140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9190 loss: 1.9190 2022/07/22 22:43:55 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 1.0000e-02 eta: 16:20:30 time: 0.2304 data_time: 0.0289 memory: 6108 grad_norm: 5.7851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1940 loss: 2.1940 2022/07/22 22:43:59 - mmengine - INFO - Epoch(train) [34][320/3757] lr: 1.0000e-02 eta: 16:20:26 time: 0.2454 data_time: 0.0195 memory: 6108 grad_norm: 5.7222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0280 loss: 2.0280 2022/07/22 22:44:04 - mmengine - INFO - Epoch(train) [34][340/3757] lr: 1.0000e-02 eta: 16:20:21 time: 0.2251 data_time: 0.0181 memory: 6108 grad_norm: 5.6863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0071 loss: 2.0071 2022/07/22 22:44:09 - mmengine - INFO - Epoch(train) [34][360/3757] lr: 1.0000e-02 eta: 16:20:16 time: 0.2312 data_time: 0.0206 memory: 6108 grad_norm: 5.4860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0002 loss: 2.0002 2022/07/22 22:44:13 - mmengine - INFO - Epoch(train) [34][380/3757] lr: 1.0000e-02 eta: 16:20:11 time: 0.2255 data_time: 0.0216 memory: 6108 grad_norm: 5.5257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9150 loss: 1.9150 2022/07/22 22:44:18 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 1.0000e-02 eta: 16:20:07 time: 0.2557 data_time: 0.0210 memory: 6108 grad_norm: 5.6765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0831 loss: 2.0831 2022/07/22 22:44:23 - mmengine - INFO - Epoch(train) [34][420/3757] lr: 1.0000e-02 eta: 16:20:02 time: 0.2272 data_time: 0.0248 memory: 6108 grad_norm: 5.6983 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8003 loss: 1.8003 2022/07/22 22:44:27 - mmengine - INFO - Epoch(train) [34][440/3757] lr: 1.0000e-02 eta: 16:19:57 time: 0.2288 data_time: 0.0226 memory: 6108 grad_norm: 5.6471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7264 loss: 1.7264 2022/07/22 22:44:32 - mmengine - INFO - Epoch(train) [34][460/3757] lr: 1.0000e-02 eta: 16:19:52 time: 0.2235 data_time: 0.0219 memory: 6108 grad_norm: 5.7235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9723 loss: 1.9723 2022/07/22 22:44:37 - mmengine - INFO - Epoch(train) [34][480/3757] lr: 1.0000e-02 eta: 16:19:48 time: 0.2447 data_time: 0.0238 memory: 6108 grad_norm: 5.6057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/07/22 22:44:42 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 1.0000e-02 eta: 16:19:43 time: 0.2405 data_time: 0.0255 memory: 6108 grad_norm: 5.6089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8103 loss: 1.8103 2022/07/22 22:44:46 - mmengine - INFO - Epoch(train) [34][520/3757] lr: 1.0000e-02 eta: 16:19:38 time: 0.2306 data_time: 0.0233 memory: 6108 grad_norm: 5.7501 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1101 loss: 2.1101 2022/07/22 22:44:51 - mmengine - INFO - Epoch(train) [34][540/3757] lr: 1.0000e-02 eta: 16:19:33 time: 0.2254 data_time: 0.0251 memory: 6108 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9238 loss: 1.9238 2022/07/22 22:44:55 - mmengine - INFO - Epoch(train) [34][560/3757] lr: 1.0000e-02 eta: 16:19:28 time: 0.2232 data_time: 0.0232 memory: 6108 grad_norm: 5.6549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1623 loss: 2.1623 2022/07/22 22:45:00 - mmengine - INFO - Epoch(train) [34][580/3757] lr: 1.0000e-02 eta: 16:19:24 time: 0.2411 data_time: 0.0295 memory: 6108 grad_norm: 5.7630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0746 loss: 2.0746 2022/07/22 22:45:05 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 1.0000e-02 eta: 16:19:19 time: 0.2323 data_time: 0.0239 memory: 6108 grad_norm: 5.6784 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0979 loss: 2.0979 2022/07/22 22:45:09 - mmengine - INFO - Epoch(train) [34][620/3757] lr: 1.0000e-02 eta: 16:19:14 time: 0.2304 data_time: 0.0226 memory: 6108 grad_norm: 5.5982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2295 loss: 2.2295 2022/07/22 22:45:14 - mmengine - INFO - Epoch(train) [34][640/3757] lr: 1.0000e-02 eta: 16:19:09 time: 0.2274 data_time: 0.0226 memory: 6108 grad_norm: 5.8502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9232 loss: 1.9232 2022/07/22 22:45:19 - mmengine - INFO - Epoch(train) [34][660/3757] lr: 1.0000e-02 eta: 16:19:06 time: 0.2570 data_time: 0.0266 memory: 6108 grad_norm: 5.5419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9134 loss: 1.9134 2022/07/22 22:45:24 - mmengine - INFO - Epoch(train) [34][680/3757] lr: 1.0000e-02 eta: 16:19:01 time: 0.2267 data_time: 0.0201 memory: 6108 grad_norm: 5.6277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9329 loss: 1.9329 2022/07/22 22:45:28 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 1.0000e-02 eta: 16:18:56 time: 0.2328 data_time: 0.0239 memory: 6108 grad_norm: 5.4834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5843 loss: 1.5843 2022/07/22 22:45:33 - mmengine - INFO - Epoch(train) [34][720/3757] lr: 1.0000e-02 eta: 16:18:51 time: 0.2366 data_time: 0.0215 memory: 6108 grad_norm: 5.7658 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/07/22 22:45:38 - mmengine - INFO - Epoch(train) [34][740/3757] lr: 1.0000e-02 eta: 16:18:48 time: 0.2552 data_time: 0.0204 memory: 6108 grad_norm: 5.5157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0695 loss: 2.0695 2022/07/22 22:45:43 - mmengine - INFO - Epoch(train) [34][760/3757] lr: 1.0000e-02 eta: 16:18:42 time: 0.2211 data_time: 0.0204 memory: 6108 grad_norm: 5.7482 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1519 loss: 2.1519 2022/07/22 22:45:47 - mmengine - INFO - Epoch(train) [34][780/3757] lr: 1.0000e-02 eta: 16:18:37 time: 0.2269 data_time: 0.0220 memory: 6108 grad_norm: 5.4923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1112 loss: 2.1112 2022/07/22 22:45:52 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 1.0000e-02 eta: 16:18:33 time: 0.2305 data_time: 0.0232 memory: 6108 grad_norm: 5.6837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8204 loss: 1.8204 2022/07/22 22:45:56 - mmengine - INFO - Epoch(train) [34][820/3757] lr: 1.0000e-02 eta: 16:18:27 time: 0.2237 data_time: 0.0213 memory: 6108 grad_norm: 5.7410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/07/22 22:46:01 - mmengine - INFO - Epoch(train) [34][840/3757] lr: 1.0000e-02 eta: 16:18:23 time: 0.2371 data_time: 0.0213 memory: 6108 grad_norm: 5.4837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/07/22 22:46:06 - mmengine - INFO - Epoch(train) [34][860/3757] lr: 1.0000e-02 eta: 16:18:18 time: 0.2286 data_time: 0.0276 memory: 6108 grad_norm: 5.6286 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0365 loss: 2.0365 2022/07/22 22:46:11 - mmengine - INFO - Epoch(train) [34][880/3757] lr: 1.0000e-02 eta: 16:18:14 time: 0.2555 data_time: 0.0278 memory: 6108 grad_norm: 5.7323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1084 loss: 2.1084 2022/07/22 22:46:15 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 1.0000e-02 eta: 16:18:09 time: 0.2270 data_time: 0.0282 memory: 6108 grad_norm: 5.7157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0359 loss: 2.0359 2022/07/22 22:46:21 - mmengine - INFO - Epoch(train) [34][920/3757] lr: 1.0000e-02 eta: 16:18:06 time: 0.2640 data_time: 0.0249 memory: 6108 grad_norm: 5.6963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8990 loss: 1.8990 2022/07/22 22:46:25 - mmengine - INFO - Epoch(train) [34][940/3757] lr: 1.0000e-02 eta: 16:18:01 time: 0.2248 data_time: 0.0173 memory: 6108 grad_norm: 5.8141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7246 loss: 1.7246 2022/07/22 22:46:30 - mmengine - INFO - Epoch(train) [34][960/3757] lr: 1.0000e-02 eta: 16:17:56 time: 0.2285 data_time: 0.0232 memory: 6108 grad_norm: 5.6554 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1331 loss: 2.1331 2022/07/22 22:46:35 - mmengine - INFO - Epoch(train) [34][980/3757] lr: 1.0000e-02 eta: 16:17:52 time: 0.2445 data_time: 0.0220 memory: 6108 grad_norm: 5.7979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9768 loss: 1.9768 2022/07/22 22:46:39 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 1.0000e-02 eta: 16:17:47 time: 0.2448 data_time: 0.0189 memory: 6108 grad_norm: 5.6186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7583 loss: 1.7583 2022/07/22 22:46:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:46:44 - mmengine - INFO - Epoch(train) [34][1020/3757] lr: 1.0000e-02 eta: 16:17:42 time: 0.2243 data_time: 0.0251 memory: 6108 grad_norm: 5.8067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8390 loss: 1.8390 2022/07/22 22:46:49 - mmengine - INFO - Epoch(train) [34][1040/3757] lr: 1.0000e-02 eta: 16:17:37 time: 0.2259 data_time: 0.0224 memory: 6108 grad_norm: 5.9130 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0604 loss: 2.0604 2022/07/22 22:46:54 - mmengine - INFO - Epoch(train) [34][1060/3757] lr: 1.0000e-02 eta: 16:17:34 time: 0.2627 data_time: 0.0257 memory: 6108 grad_norm: 5.6694 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2534 loss: 2.2534 2022/07/22 22:46:59 - mmengine - INFO - Epoch(train) [34][1080/3757] lr: 1.0000e-02 eta: 16:17:29 time: 0.2383 data_time: 0.0255 memory: 6108 grad_norm: 5.8547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1374 loss: 2.1374 2022/07/22 22:47:03 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 1.0000e-02 eta: 16:17:24 time: 0.2269 data_time: 0.0240 memory: 6108 grad_norm: 5.7114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0805 loss: 2.0805 2022/07/22 22:47:08 - mmengine - INFO - Epoch(train) [34][1120/3757] lr: 1.0000e-02 eta: 16:17:19 time: 0.2283 data_time: 0.0181 memory: 6108 grad_norm: 5.6270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9841 loss: 1.9841 2022/07/22 22:47:13 - mmengine - INFO - Epoch(train) [34][1140/3757] lr: 1.0000e-02 eta: 16:17:16 time: 0.2657 data_time: 0.0193 memory: 6108 grad_norm: 5.6298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8519 loss: 1.8519 2022/07/22 22:47:18 - mmengine - INFO - Epoch(train) [34][1160/3757] lr: 1.0000e-02 eta: 16:17:11 time: 0.2391 data_time: 0.0233 memory: 6108 grad_norm: 5.5924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8198 loss: 1.8198 2022/07/22 22:47:22 - mmengine - INFO - Epoch(train) [34][1180/3757] lr: 1.0000e-02 eta: 16:17:07 time: 0.2283 data_time: 0.0244 memory: 6108 grad_norm: 5.6870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1629 loss: 2.1629 2022/07/22 22:47:27 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 1.0000e-02 eta: 16:17:01 time: 0.2244 data_time: 0.0196 memory: 6108 grad_norm: 5.7673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1223 loss: 2.1223 2022/07/22 22:47:31 - mmengine - INFO - Epoch(train) [34][1220/3757] lr: 1.0000e-02 eta: 16:16:57 time: 0.2278 data_time: 0.0257 memory: 6108 grad_norm: 5.6582 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1887 loss: 2.1887 2022/07/22 22:47:36 - mmengine - INFO - Epoch(train) [34][1240/3757] lr: 1.0000e-02 eta: 16:16:52 time: 0.2386 data_time: 0.0264 memory: 6108 grad_norm: 5.5968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9367 loss: 1.9367 2022/07/22 22:47:41 - mmengine - INFO - Epoch(train) [34][1260/3757] lr: 1.0000e-02 eta: 16:16:48 time: 0.2606 data_time: 0.0210 memory: 6108 grad_norm: 5.5439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0932 loss: 2.0932 2022/07/22 22:47:46 - mmengine - INFO - Epoch(train) [34][1280/3757] lr: 1.0000e-02 eta: 16:16:44 time: 0.2279 data_time: 0.0224 memory: 6108 grad_norm: 5.6701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9059 loss: 1.9059 2022/07/22 22:47:51 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 1.0000e-02 eta: 16:16:39 time: 0.2282 data_time: 0.0222 memory: 6108 grad_norm: 5.6839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9286 loss: 1.9286 2022/07/22 22:47:55 - mmengine - INFO - Epoch(train) [34][1320/3757] lr: 1.0000e-02 eta: 16:16:34 time: 0.2233 data_time: 0.0272 memory: 6108 grad_norm: 5.6378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0596 loss: 2.0596 2022/07/22 22:48:00 - mmengine - INFO - Epoch(train) [34][1340/3757] lr: 1.0000e-02 eta: 16:16:30 time: 0.2511 data_time: 0.0217 memory: 6108 grad_norm: 5.7940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9954 loss: 1.9954 2022/07/22 22:48:05 - mmengine - INFO - Epoch(train) [34][1360/3757] lr: 1.0000e-02 eta: 16:16:25 time: 0.2305 data_time: 0.0226 memory: 6108 grad_norm: 5.7342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2446 loss: 2.2446 2022/07/22 22:48:10 - mmengine - INFO - Epoch(train) [34][1380/3757] lr: 1.0000e-02 eta: 16:16:21 time: 0.2573 data_time: 0.0186 memory: 6108 grad_norm: 5.6868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8152 loss: 1.8152 2022/07/22 22:48:14 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 1.0000e-02 eta: 16:16:16 time: 0.2265 data_time: 0.0250 memory: 6108 grad_norm: 5.8380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1256 loss: 2.1256 2022/07/22 22:48:19 - mmengine - INFO - Epoch(train) [34][1420/3757] lr: 1.0000e-02 eta: 16:16:11 time: 0.2353 data_time: 0.0221 memory: 6108 grad_norm: 5.8837 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0496 loss: 2.0496 2022/07/22 22:48:24 - mmengine - INFO - Epoch(train) [34][1440/3757] lr: 1.0000e-02 eta: 16:16:07 time: 0.2511 data_time: 0.0207 memory: 6108 grad_norm: 5.7311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9064 loss: 1.9064 2022/07/22 22:48:29 - mmengine - INFO - Epoch(train) [34][1460/3757] lr: 1.0000e-02 eta: 16:16:02 time: 0.2268 data_time: 0.0229 memory: 6108 grad_norm: 5.6990 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1346 loss: 2.1346 2022/07/22 22:48:33 - mmengine - INFO - Epoch(train) [34][1480/3757] lr: 1.0000e-02 eta: 16:15:57 time: 0.2222 data_time: 0.0208 memory: 6108 grad_norm: 5.6639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2216 loss: 2.2216 2022/07/22 22:48:38 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 1.0000e-02 eta: 16:15:52 time: 0.2288 data_time: 0.0208 memory: 6108 grad_norm: 5.7226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0553 loss: 2.0553 2022/07/22 22:48:42 - mmengine - INFO - Epoch(train) [34][1520/3757] lr: 1.0000e-02 eta: 16:15:47 time: 0.2201 data_time: 0.0192 memory: 6108 grad_norm: 5.7618 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3170 loss: 2.3170 2022/07/22 22:48:47 - mmengine - INFO - Epoch(train) [34][1540/3757] lr: 1.0000e-02 eta: 16:15:43 time: 0.2422 data_time: 0.0254 memory: 6108 grad_norm: 5.8141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2280 loss: 2.2280 2022/07/22 22:48:52 - mmengine - INFO - Epoch(train) [34][1560/3757] lr: 1.0000e-02 eta: 16:15:38 time: 0.2255 data_time: 0.0174 memory: 6108 grad_norm: 5.3967 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9010 loss: 1.9010 2022/07/22 22:48:56 - mmengine - INFO - Epoch(train) [34][1580/3757] lr: 1.0000e-02 eta: 16:15:33 time: 0.2395 data_time: 0.0225 memory: 6108 grad_norm: 5.8012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9751 loss: 1.9751 2022/07/22 22:49:01 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 1.0000e-02 eta: 16:15:29 time: 0.2410 data_time: 0.0170 memory: 6108 grad_norm: 5.9315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3183 loss: 2.3183 2022/07/22 22:49:06 - mmengine - INFO - Epoch(train) [34][1620/3757] lr: 1.0000e-02 eta: 16:15:24 time: 0.2368 data_time: 0.0233 memory: 6108 grad_norm: 5.5126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0239 loss: 2.0239 2022/07/22 22:49:11 - mmengine - INFO - Epoch(train) [34][1640/3757] lr: 1.0000e-02 eta: 16:15:19 time: 0.2282 data_time: 0.0208 memory: 6108 grad_norm: 5.7719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9030 loss: 1.9030 2022/07/22 22:49:15 - mmengine - INFO - Epoch(train) [34][1660/3757] lr: 1.0000e-02 eta: 16:15:14 time: 0.2243 data_time: 0.0198 memory: 6108 grad_norm: 5.5865 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0000 loss: 2.0000 2022/07/22 22:49:20 - mmengine - INFO - Epoch(train) [34][1680/3757] lr: 1.0000e-02 eta: 16:15:10 time: 0.2467 data_time: 0.0192 memory: 6108 grad_norm: 5.9169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0678 loss: 2.0678 2022/07/22 22:49:25 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 1.0000e-02 eta: 16:15:05 time: 0.2277 data_time: 0.0249 memory: 6108 grad_norm: 5.5101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7732 loss: 1.7732 2022/07/22 22:49:29 - mmengine - INFO - Epoch(train) [34][1720/3757] lr: 1.0000e-02 eta: 16:15:00 time: 0.2288 data_time: 0.0208 memory: 6108 grad_norm: 5.7452 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8067 loss: 1.8067 2022/07/22 22:49:34 - mmengine - INFO - Epoch(train) [34][1740/3757] lr: 1.0000e-02 eta: 16:14:55 time: 0.2271 data_time: 0.0206 memory: 6108 grad_norm: 5.9549 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3889 loss: 2.3889 2022/07/22 22:49:39 - mmengine - INFO - Epoch(train) [34][1760/3757] lr: 1.0000e-02 eta: 16:14:51 time: 0.2458 data_time: 0.0210 memory: 6108 grad_norm: 5.8815 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9998 loss: 1.9998 2022/07/22 22:49:43 - mmengine - INFO - Epoch(train) [34][1780/3757] lr: 1.0000e-02 eta: 16:14:46 time: 0.2268 data_time: 0.0227 memory: 6108 grad_norm: 5.6129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6412 loss: 1.6412 2022/07/22 22:49:48 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 1.0000e-02 eta: 16:14:42 time: 0.2461 data_time: 0.0173 memory: 6108 grad_norm: 5.5425 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2051 loss: 2.2051 2022/07/22 22:49:53 - mmengine - INFO - Epoch(train) [34][1820/3757] lr: 1.0000e-02 eta: 16:14:37 time: 0.2341 data_time: 0.0213 memory: 6108 grad_norm: 5.6012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/07/22 22:49:58 - mmengine - INFO - Epoch(train) [34][1840/3757] lr: 1.0000e-02 eta: 16:14:33 time: 0.2553 data_time: 0.0227 memory: 6108 grad_norm: 5.8290 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0629 loss: 2.0629 2022/07/22 22:50:02 - mmengine - INFO - Epoch(train) [34][1860/3757] lr: 1.0000e-02 eta: 16:14:28 time: 0.2261 data_time: 0.0205 memory: 6108 grad_norm: 5.6927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0647 loss: 2.0647 2022/07/22 22:50:07 - mmengine - INFO - Epoch(train) [34][1880/3757] lr: 1.0000e-02 eta: 16:14:24 time: 0.2332 data_time: 0.0270 memory: 6108 grad_norm: 5.6497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7531 loss: 1.7531 2022/07/22 22:50:12 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 1.0000e-02 eta: 16:14:19 time: 0.2279 data_time: 0.0224 memory: 6108 grad_norm: 5.6934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9221 loss: 1.9221 2022/07/22 22:50:16 - mmengine - INFO - Epoch(train) [34][1920/3757] lr: 1.0000e-02 eta: 16:14:14 time: 0.2234 data_time: 0.0194 memory: 6108 grad_norm: 5.6135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8946 loss: 1.8946 2022/07/22 22:50:21 - mmengine - INFO - Epoch(train) [34][1940/3757] lr: 1.0000e-02 eta: 16:14:09 time: 0.2327 data_time: 0.0215 memory: 6108 grad_norm: 5.6776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0993 loss: 2.0993 2022/07/22 22:50:26 - mmengine - INFO - Epoch(train) [34][1960/3757] lr: 1.0000e-02 eta: 16:14:04 time: 0.2332 data_time: 0.0226 memory: 6108 grad_norm: 5.6700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8644 loss: 1.8644 2022/07/22 22:50:31 - mmengine - INFO - Epoch(train) [34][1980/3757] lr: 1.0000e-02 eta: 16:14:01 time: 0.2573 data_time: 0.0175 memory: 6108 grad_norm: 5.5649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1747 loss: 2.1747 2022/07/22 22:50:35 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 1.0000e-02 eta: 16:13:56 time: 0.2368 data_time: 0.0243 memory: 6108 grad_norm: 5.6854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1161 loss: 2.1161 2022/07/22 22:50:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:50:41 - mmengine - INFO - Epoch(train) [34][2020/3757] lr: 1.0000e-02 eta: 16:13:52 time: 0.2593 data_time: 0.0204 memory: 6108 grad_norm: 5.7399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8415 loss: 1.8415 2022/07/22 22:50:45 - mmengine - INFO - Epoch(train) [34][2040/3757] lr: 1.0000e-02 eta: 16:13:47 time: 0.2229 data_time: 0.0182 memory: 6108 grad_norm: 5.5410 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9940 loss: 1.9940 2022/07/22 22:50:50 - mmengine - INFO - Epoch(train) [34][2060/3757] lr: 1.0000e-02 eta: 16:13:42 time: 0.2276 data_time: 0.0315 memory: 6108 grad_norm: 5.7676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0568 loss: 2.0568 2022/07/22 22:50:54 - mmengine - INFO - Epoch(train) [34][2080/3757] lr: 1.0000e-02 eta: 16:13:37 time: 0.2279 data_time: 0.0236 memory: 6108 grad_norm: 5.6634 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9867 loss: 1.9867 2022/07/22 22:50:59 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 1.0000e-02 eta: 16:13:33 time: 0.2398 data_time: 0.0182 memory: 6108 grad_norm: 5.6788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1161 loss: 2.1161 2022/07/22 22:51:04 - mmengine - INFO - Epoch(train) [34][2120/3757] lr: 1.0000e-02 eta: 16:13:28 time: 0.2296 data_time: 0.0217 memory: 6108 grad_norm: 5.6117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8741 loss: 1.8741 2022/07/22 22:51:08 - mmengine - INFO - Epoch(train) [34][2140/3757] lr: 1.0000e-02 eta: 16:13:23 time: 0.2268 data_time: 0.0224 memory: 6108 grad_norm: 5.7887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9269 loss: 1.9269 2022/07/22 22:51:13 - mmengine - INFO - Epoch(train) [34][2160/3757] lr: 1.0000e-02 eta: 16:13:19 time: 0.2375 data_time: 0.0249 memory: 6108 grad_norm: 5.4745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0261 loss: 2.0261 2022/07/22 22:51:17 - mmengine - INFO - Epoch(train) [34][2180/3757] lr: 1.0000e-02 eta: 16:13:13 time: 0.2233 data_time: 0.0200 memory: 6108 grad_norm: 5.6133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7367 loss: 1.7367 2022/07/22 22:51:23 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 1.0000e-02 eta: 16:13:10 time: 0.2677 data_time: 0.0229 memory: 6108 grad_norm: 5.5521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6772 loss: 1.6772 2022/07/22 22:51:27 - mmengine - INFO - Epoch(train) [34][2220/3757] lr: 1.0000e-02 eta: 16:13:05 time: 0.2267 data_time: 0.0178 memory: 6108 grad_norm: 5.6005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1766 loss: 2.1766 2022/07/22 22:51:32 - mmengine - INFO - Epoch(train) [34][2240/3757] lr: 1.0000e-02 eta: 16:13:00 time: 0.2294 data_time: 0.0252 memory: 6108 grad_norm: 5.6510 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7254 loss: 1.7254 2022/07/22 22:51:36 - mmengine - INFO - Epoch(train) [34][2260/3757] lr: 1.0000e-02 eta: 16:12:55 time: 0.2225 data_time: 0.0211 memory: 6108 grad_norm: 5.9196 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0853 loss: 2.0853 2022/07/22 22:51:41 - mmengine - INFO - Epoch(train) [34][2280/3757] lr: 1.0000e-02 eta: 16:12:50 time: 0.2333 data_time: 0.0172 memory: 6108 grad_norm: 5.7297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9258 loss: 1.9258 2022/07/22 22:51:46 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 1.0000e-02 eta: 16:12:45 time: 0.2252 data_time: 0.0260 memory: 6108 grad_norm: 5.7878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8616 loss: 1.8616 2022/07/22 22:51:50 - mmengine - INFO - Epoch(train) [34][2320/3757] lr: 1.0000e-02 eta: 16:12:40 time: 0.2229 data_time: 0.0189 memory: 6108 grad_norm: 5.6956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/07/22 22:51:55 - mmengine - INFO - Epoch(train) [34][2340/3757] lr: 1.0000e-02 eta: 16:12:35 time: 0.2262 data_time: 0.0223 memory: 6108 grad_norm: 5.7845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1166 loss: 2.1166 2022/07/22 22:52:00 - mmengine - INFO - Epoch(train) [34][2360/3757] lr: 1.0000e-02 eta: 16:12:31 time: 0.2483 data_time: 0.0314 memory: 6108 grad_norm: 5.5545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9352 loss: 1.9352 2022/07/22 22:52:04 - mmengine - INFO - Epoch(train) [34][2380/3757] lr: 1.0000e-02 eta: 16:12:26 time: 0.2354 data_time: 0.0196 memory: 6108 grad_norm: 5.7096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0996 loss: 2.0996 2022/07/22 22:52:10 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 1.0000e-02 eta: 16:12:23 time: 0.2555 data_time: 0.0286 memory: 6108 grad_norm: 5.6198 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9727 loss: 1.9727 2022/07/22 22:52:14 - mmengine - INFO - Epoch(train) [34][2420/3757] lr: 1.0000e-02 eta: 16:12:18 time: 0.2228 data_time: 0.0227 memory: 6108 grad_norm: 5.6503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8289 loss: 1.8289 2022/07/22 22:52:19 - mmengine - INFO - Epoch(train) [34][2440/3757] lr: 1.0000e-02 eta: 16:12:13 time: 0.2281 data_time: 0.0257 memory: 6108 grad_norm: 5.6880 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0816 loss: 2.0816 2022/07/22 22:52:23 - mmengine - INFO - Epoch(train) [34][2460/3757] lr: 1.0000e-02 eta: 16:12:08 time: 0.2330 data_time: 0.0183 memory: 6108 grad_norm: 5.7546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2535 loss: 2.2535 2022/07/22 22:52:28 - mmengine - INFO - Epoch(train) [34][2480/3757] lr: 1.0000e-02 eta: 16:12:03 time: 0.2282 data_time: 0.0228 memory: 6108 grad_norm: 5.7316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0932 loss: 2.0932 2022/07/22 22:52:33 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 1.0000e-02 eta: 16:11:59 time: 0.2436 data_time: 0.0256 memory: 6108 grad_norm: 5.7930 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0148 loss: 2.0148 2022/07/22 22:52:37 - mmengine - INFO - Epoch(train) [34][2520/3757] lr: 1.0000e-02 eta: 16:11:54 time: 0.2236 data_time: 0.0184 memory: 6108 grad_norm: 5.8979 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2828 loss: 2.2828 2022/07/22 22:52:42 - mmengine - INFO - Epoch(train) [34][2540/3757] lr: 1.0000e-02 eta: 16:11:49 time: 0.2309 data_time: 0.0208 memory: 6108 grad_norm: 5.8492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3648 loss: 2.3648 2022/07/22 22:52:46 - mmengine - INFO - Epoch(train) [34][2560/3757] lr: 1.0000e-02 eta: 16:11:44 time: 0.2254 data_time: 0.0213 memory: 6108 grad_norm: 5.6286 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9603 loss: 1.9603 2022/07/22 22:52:52 - mmengine - INFO - Epoch(train) [34][2580/3757] lr: 1.0000e-02 eta: 16:11:40 time: 0.2594 data_time: 0.0174 memory: 6108 grad_norm: 5.6425 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1318 loss: 2.1318 2022/07/22 22:52:56 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 1.0000e-02 eta: 16:11:35 time: 0.2263 data_time: 0.0270 memory: 6108 grad_norm: 5.6975 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8694 loss: 1.8694 2022/07/22 22:53:00 - mmengine - INFO - Epoch(train) [34][2620/3757] lr: 1.0000e-02 eta: 16:11:30 time: 0.2206 data_time: 0.0216 memory: 6108 grad_norm: 5.9218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0154 loss: 2.0154 2022/07/22 22:53:05 - mmengine - INFO - Epoch(train) [34][2640/3757] lr: 1.0000e-02 eta: 16:11:25 time: 0.2259 data_time: 0.0213 memory: 6108 grad_norm: 5.6006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2101 loss: 2.2101 2022/07/22 22:53:10 - mmengine - INFO - Epoch(train) [34][2660/3757] lr: 1.0000e-02 eta: 16:11:21 time: 0.2575 data_time: 0.0253 memory: 6108 grad_norm: 5.6840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9117 loss: 1.9117 2022/07/22 22:53:15 - mmengine - INFO - Epoch(train) [34][2680/3757] lr: 1.0000e-02 eta: 16:11:16 time: 0.2221 data_time: 0.0222 memory: 6108 grad_norm: 5.6616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7859 loss: 1.7859 2022/07/22 22:53:19 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 1.0000e-02 eta: 16:11:11 time: 0.2193 data_time: 0.0207 memory: 6108 grad_norm: 5.5199 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8540 loss: 1.8540 2022/07/22 22:53:23 - mmengine - INFO - Epoch(train) [34][2720/3757] lr: 1.0000e-02 eta: 16:11:06 time: 0.2226 data_time: 0.0233 memory: 6108 grad_norm: 5.6640 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1782 loss: 2.1782 2022/07/22 22:53:28 - mmengine - INFO - Epoch(train) [34][2740/3757] lr: 1.0000e-02 eta: 16:11:01 time: 0.2413 data_time: 0.0194 memory: 6108 grad_norm: 5.6494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/07/22 22:53:33 - mmengine - INFO - Epoch(train) [34][2760/3757] lr: 1.0000e-02 eta: 16:10:57 time: 0.2382 data_time: 0.0401 memory: 6108 grad_norm: 5.8032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0088 loss: 2.0088 2022/07/22 22:53:38 - mmengine - INFO - Epoch(train) [34][2780/3757] lr: 1.0000e-02 eta: 16:10:52 time: 0.2263 data_time: 0.0243 memory: 6108 grad_norm: 5.9244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/07/22 22:53:42 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 1.0000e-02 eta: 16:10:47 time: 0.2349 data_time: 0.0268 memory: 6108 grad_norm: 5.7269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1279 loss: 2.1279 2022/07/22 22:53:48 - mmengine - INFO - Epoch(train) [34][2820/3757] lr: 1.0000e-02 eta: 16:10:44 time: 0.2737 data_time: 0.0185 memory: 6108 grad_norm: 5.7749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0582 loss: 2.0582 2022/07/22 22:53:53 - mmengine - INFO - Epoch(train) [34][2840/3757] lr: 1.0000e-02 eta: 16:10:39 time: 0.2322 data_time: 0.0233 memory: 6108 grad_norm: 5.6114 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3569 loss: 2.3569 2022/07/22 22:53:57 - mmengine - INFO - Epoch(train) [34][2860/3757] lr: 1.0000e-02 eta: 16:10:34 time: 0.2252 data_time: 0.0251 memory: 6108 grad_norm: 5.6095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2621 loss: 2.2621 2022/07/22 22:54:02 - mmengine - INFO - Epoch(train) [34][2880/3757] lr: 1.0000e-02 eta: 16:10:30 time: 0.2435 data_time: 0.0246 memory: 6108 grad_norm: 5.6432 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1523 loss: 2.1523 2022/07/22 22:54:07 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 1.0000e-02 eta: 16:10:25 time: 0.2317 data_time: 0.0352 memory: 6108 grad_norm: 5.7218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0025 loss: 2.0025 2022/07/22 22:54:11 - mmengine - INFO - Epoch(train) [34][2920/3757] lr: 1.0000e-02 eta: 16:10:20 time: 0.2331 data_time: 0.0252 memory: 6108 grad_norm: 5.6718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1720 loss: 2.1720 2022/07/22 22:54:16 - mmengine - INFO - Epoch(train) [34][2940/3757] lr: 1.0000e-02 eta: 16:10:15 time: 0.2249 data_time: 0.0190 memory: 6108 grad_norm: 5.5821 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1952 loss: 2.1952 2022/07/22 22:54:21 - mmengine - INFO - Epoch(train) [34][2960/3757] lr: 1.0000e-02 eta: 16:10:11 time: 0.2435 data_time: 0.0251 memory: 6108 grad_norm: 5.5669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9754 loss: 1.9754 2022/07/22 22:54:25 - mmengine - INFO - Epoch(train) [34][2980/3757] lr: 1.0000e-02 eta: 16:10:06 time: 0.2258 data_time: 0.0224 memory: 6108 grad_norm: 5.6786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1332 loss: 2.1332 2022/07/22 22:54:30 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 1.0000e-02 eta: 16:10:01 time: 0.2195 data_time: 0.0221 memory: 6108 grad_norm: 5.5654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2223 loss: 2.2223 2022/07/22 22:54:34 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:54:34 - mmengine - INFO - Epoch(train) [34][3020/3757] lr: 1.0000e-02 eta: 16:09:56 time: 0.2379 data_time: 0.0230 memory: 6108 grad_norm: 5.6572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8544 loss: 1.8544 2022/07/22 22:54:40 - mmengine - INFO - Epoch(train) [34][3040/3757] lr: 1.0000e-02 eta: 16:09:53 time: 0.2593 data_time: 0.0205 memory: 6108 grad_norm: 5.7385 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3476 loss: 2.3476 2022/07/22 22:54:44 - mmengine - INFO - Epoch(train) [34][3060/3757] lr: 1.0000e-02 eta: 16:09:47 time: 0.2221 data_time: 0.0167 memory: 6108 grad_norm: 5.4148 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1026 loss: 2.1026 2022/07/22 22:54:49 - mmengine - INFO - Epoch(train) [34][3080/3757] lr: 1.0000e-02 eta: 16:09:43 time: 0.2303 data_time: 0.0252 memory: 6108 grad_norm: 5.7327 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1563 loss: 2.1563 2022/07/22 22:54:54 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 1.0000e-02 eta: 16:09:39 time: 0.2506 data_time: 0.0246 memory: 6108 grad_norm: 5.7418 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4415 loss: 2.4415 2022/07/22 22:54:58 - mmengine - INFO - Epoch(train) [34][3120/3757] lr: 1.0000e-02 eta: 16:09:34 time: 0.2268 data_time: 0.0171 memory: 6108 grad_norm: 5.6959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0423 loss: 2.0423 2022/07/22 22:55:03 - mmengine - INFO - Epoch(train) [34][3140/3757] lr: 1.0000e-02 eta: 16:09:29 time: 0.2397 data_time: 0.0299 memory: 6108 grad_norm: 5.5464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6797 loss: 1.6797 2022/07/22 22:55:07 - mmengine - INFO - Epoch(train) [34][3160/3757] lr: 1.0000e-02 eta: 16:09:24 time: 0.2225 data_time: 0.0195 memory: 6108 grad_norm: 5.5625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0911 loss: 2.0911 2022/07/22 22:55:12 - mmengine - INFO - Epoch(train) [34][3180/3757] lr: 1.0000e-02 eta: 16:09:19 time: 0.2353 data_time: 0.0203 memory: 6108 grad_norm: 5.6082 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8078 loss: 1.8078 2022/07/22 22:55:17 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 1.0000e-02 eta: 16:09:14 time: 0.2250 data_time: 0.0215 memory: 6108 grad_norm: 5.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8633 loss: 1.8633 2022/07/22 22:55:21 - mmengine - INFO - Epoch(train) [34][3220/3757] lr: 1.0000e-02 eta: 16:09:10 time: 0.2396 data_time: 0.0192 memory: 6108 grad_norm: 5.6609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1779 loss: 2.1779 2022/07/22 22:55:26 - mmengine - INFO - Epoch(train) [34][3240/3757] lr: 1.0000e-02 eta: 16:09:05 time: 0.2255 data_time: 0.0254 memory: 6108 grad_norm: 5.7710 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7489 loss: 1.7489 2022/07/22 22:55:31 - mmengine - INFO - Epoch(train) [34][3260/3757] lr: 1.0000e-02 eta: 16:09:00 time: 0.2344 data_time: 0.0208 memory: 6108 grad_norm: 5.7092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9001 loss: 1.9001 2022/07/22 22:55:35 - mmengine - INFO - Epoch(train) [34][3280/3757] lr: 1.0000e-02 eta: 16:08:55 time: 0.2298 data_time: 0.0201 memory: 6108 grad_norm: 5.6712 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3060 loss: 2.3060 2022/07/22 22:55:40 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 1.0000e-02 eta: 16:08:51 time: 0.2496 data_time: 0.0171 memory: 6108 grad_norm: 5.6305 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0464 loss: 2.0464 2022/07/22 22:55:45 - mmengine - INFO - Epoch(train) [34][3320/3757] lr: 1.0000e-02 eta: 16:08:47 time: 0.2408 data_time: 0.0279 memory: 6108 grad_norm: 5.6727 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8528 loss: 1.8528 2022/07/22 22:55:50 - mmengine - INFO - Epoch(train) [34][3340/3757] lr: 1.0000e-02 eta: 16:08:43 time: 0.2519 data_time: 0.0201 memory: 6108 grad_norm: 5.7396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6411 loss: 1.6411 2022/07/22 22:55:55 - mmengine - INFO - Epoch(train) [34][3360/3757] lr: 1.0000e-02 eta: 16:08:38 time: 0.2405 data_time: 0.0202 memory: 6108 grad_norm: 5.8466 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9942 loss: 1.9942 2022/07/22 22:56:00 - mmengine - INFO - Epoch(train) [34][3380/3757] lr: 1.0000e-02 eta: 16:08:34 time: 0.2409 data_time: 0.0244 memory: 6108 grad_norm: 5.9009 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1115 loss: 2.1115 2022/07/22 22:56:04 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 1.0000e-02 eta: 16:08:29 time: 0.2249 data_time: 0.0203 memory: 6108 grad_norm: 5.6046 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9476 loss: 1.9476 2022/07/22 22:56:09 - mmengine - INFO - Epoch(train) [34][3420/3757] lr: 1.0000e-02 eta: 16:08:24 time: 0.2309 data_time: 0.0164 memory: 6108 grad_norm: 5.6713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9959 loss: 1.9959 2022/07/22 22:56:14 - mmengine - INFO - Epoch(train) [34][3440/3757] lr: 1.0000e-02 eta: 16:08:19 time: 0.2255 data_time: 0.0227 memory: 6108 grad_norm: 5.4786 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1773 loss: 2.1773 2022/07/22 22:56:18 - mmengine - INFO - Epoch(train) [34][3460/3757] lr: 1.0000e-02 eta: 16:08:14 time: 0.2227 data_time: 0.0194 memory: 6108 grad_norm: 5.6620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9243 loss: 1.9243 2022/07/22 22:56:23 - mmengine - INFO - Epoch(train) [34][3480/3757] lr: 1.0000e-02 eta: 16:08:10 time: 0.2418 data_time: 0.0198 memory: 6108 grad_norm: 5.7551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0439 loss: 2.0439 2022/07/22 22:56:28 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 1.0000e-02 eta: 16:08:06 time: 0.2474 data_time: 0.0207 memory: 6108 grad_norm: 5.6974 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0784 loss: 2.0784 2022/07/22 22:56:32 - mmengine - INFO - Epoch(train) [34][3520/3757] lr: 1.0000e-02 eta: 16:08:01 time: 0.2330 data_time: 0.0233 memory: 6108 grad_norm: 5.2814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8661 loss: 1.8661 2022/07/22 22:56:37 - mmengine - INFO - Epoch(train) [34][3540/3757] lr: 1.0000e-02 eta: 16:07:56 time: 0.2306 data_time: 0.0237 memory: 6108 grad_norm: 5.6538 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9887 loss: 1.9887 2022/07/22 22:56:42 - mmengine - INFO - Epoch(train) [34][3560/3757] lr: 1.0000e-02 eta: 16:07:52 time: 0.2428 data_time: 0.0204 memory: 6108 grad_norm: 5.7032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7878 loss: 1.7878 2022/07/22 22:56:47 - mmengine - INFO - Epoch(train) [34][3580/3757] lr: 1.0000e-02 eta: 16:07:47 time: 0.2277 data_time: 0.0252 memory: 6108 grad_norm: 5.5123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9478 loss: 1.9478 2022/07/22 22:56:51 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 1.0000e-02 eta: 16:07:42 time: 0.2390 data_time: 0.0205 memory: 6108 grad_norm: 5.8200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8344 loss: 1.8344 2022/07/22 22:56:56 - mmengine - INFO - Epoch(train) [34][3620/3757] lr: 1.0000e-02 eta: 16:07:37 time: 0.2255 data_time: 0.0252 memory: 6108 grad_norm: 5.6917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0169 loss: 2.0169 2022/07/22 22:57:01 - mmengine - INFO - Epoch(train) [34][3640/3757] lr: 1.0000e-02 eta: 16:07:33 time: 0.2473 data_time: 0.0218 memory: 6108 grad_norm: 5.6463 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9674 loss: 1.9674 2022/07/22 22:57:05 - mmengine - INFO - Epoch(train) [34][3660/3757] lr: 1.0000e-02 eta: 16:07:28 time: 0.2205 data_time: 0.0187 memory: 6108 grad_norm: 5.7793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0589 loss: 2.0589 2022/07/22 22:57:10 - mmengine - INFO - Epoch(train) [34][3680/3757] lr: 1.0000e-02 eta: 16:07:24 time: 0.2422 data_time: 0.0220 memory: 6108 grad_norm: 5.6953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9610 loss: 1.9610 2022/07/22 22:57:15 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 1.0000e-02 eta: 16:07:19 time: 0.2295 data_time: 0.0182 memory: 6108 grad_norm: 5.7642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0029 loss: 2.0029 2022/07/22 22:57:20 - mmengine - INFO - Epoch(train) [34][3720/3757] lr: 1.0000e-02 eta: 16:07:15 time: 0.2517 data_time: 0.0393 memory: 6108 grad_norm: 5.6857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2733 loss: 2.2733 2022/07/22 22:57:24 - mmengine - INFO - Epoch(train) [34][3740/3757] lr: 1.0000e-02 eta: 16:07:10 time: 0.2269 data_time: 0.0218 memory: 6108 grad_norm: 5.6959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8858 loss: 1.8858 2022/07/22 22:57:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:57:27 - mmengine - INFO - Epoch(train) [34][3757/3757] lr: 1.0000e-02 eta: 16:07:10 time: 0.1925 data_time: 0.0145 memory: 6108 grad_norm: 5.7697 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.2913 loss: 2.2913 2022/07/22 22:57:33 - mmengine - INFO - Epoch(val) [34][20/310] eta: 0:01:21 time: 0.2820 data_time: 0.2037 memory: 1428 2022/07/22 22:57:37 - mmengine - INFO - Epoch(val) [34][40/310] eta: 0:00:48 time: 0.1781 data_time: 0.1024 memory: 1428 2022/07/22 22:57:41 - mmengine - INFO - Epoch(val) [34][60/310] eta: 0:00:58 time: 0.2321 data_time: 0.1540 memory: 1428 2022/07/22 22:57:46 - mmengine - INFO - Epoch(val) [34][80/310] eta: 0:00:48 time: 0.2103 data_time: 0.1289 memory: 1428 2022/07/22 22:57:50 - mmengine - INFO - Epoch(val) [34][100/310] eta: 0:00:43 time: 0.2084 data_time: 0.1204 memory: 1428 2022/07/22 22:57:55 - mmengine - INFO - Epoch(val) [34][120/310] eta: 0:00:46 time: 0.2421 data_time: 0.1659 memory: 1428 2022/07/22 22:57:59 - mmengine - INFO - Epoch(val) [34][140/310] eta: 0:00:39 time: 0.2310 data_time: 0.1415 memory: 1428 2022/07/22 22:58:04 - mmengine - INFO - Epoch(val) [34][160/310] eta: 0:00:34 time: 0.2302 data_time: 0.1565 memory: 1428 2022/07/22 22:58:08 - mmengine - INFO - Epoch(val) [34][180/310] eta: 0:00:27 time: 0.2099 data_time: 0.1344 memory: 1428 2022/07/22 22:58:13 - mmengine - INFO - Epoch(val) [34][200/310] eta: 0:00:24 time: 0.2264 data_time: 0.1470 memory: 1428 2022/07/22 22:58:17 - mmengine - INFO - Epoch(val) [34][220/310] eta: 0:00:19 time: 0.2120 data_time: 0.1346 memory: 1428 2022/07/22 22:58:21 - mmengine - INFO - Epoch(val) [34][240/310] eta: 0:00:14 time: 0.2021 data_time: 0.1130 memory: 1428 2022/07/22 22:58:26 - mmengine - INFO - Epoch(val) [34][260/310] eta: 0:00:11 time: 0.2399 data_time: 0.1617 memory: 1428 2022/07/22 22:58:29 - mmengine - INFO - Epoch(val) [34][280/310] eta: 0:00:05 time: 0.1905 data_time: 0.1161 memory: 1428 2022/07/22 22:58:34 - mmengine - INFO - Epoch(val) [34][300/310] eta: 0:00:02 time: 0.2143 data_time: 0.1395 memory: 1428 2022/07/22 22:58:37 - mmengine - INFO - Epoch(val) [34][310/310] acc/top1: 0.5606 acc/top5: 0.7991 acc/mean1: 0.5606 2022/07/22 22:58:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_34.pth is removed 2022/07/22 22:58:39 - mmengine - INFO - The best checkpoint with 0.5606 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/07/22 22:58:45 - mmengine - INFO - Epoch(train) [35][20/3757] lr: 1.0000e-02 eta: 16:06:56 time: 0.2909 data_time: 0.0976 memory: 6108 grad_norm: 5.7607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2024 loss: 2.2024 2022/07/22 22:58:50 - mmengine - INFO - Epoch(train) [35][40/3757] lr: 1.0000e-02 eta: 16:06:52 time: 0.2616 data_time: 0.0602 memory: 6108 grad_norm: 5.6817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9082 loss: 1.9082 2022/07/22 22:58:55 - mmengine - INFO - Epoch(train) [35][60/3757] lr: 1.0000e-02 eta: 16:06:47 time: 0.2254 data_time: 0.0217 memory: 6108 grad_norm: 5.6151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0392 loss: 2.0392 2022/07/22 22:58:59 - mmengine - INFO - Epoch(train) [35][80/3757] lr: 1.0000e-02 eta: 16:06:42 time: 0.2239 data_time: 0.0195 memory: 6108 grad_norm: 5.7109 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8046 loss: 1.8046 2022/07/22 22:59:04 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 1.0000e-02 eta: 16:06:37 time: 0.2237 data_time: 0.0191 memory: 6108 grad_norm: 5.5902 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8050 loss: 1.8050 2022/07/22 22:59:09 - mmengine - INFO - Epoch(train) [35][120/3757] lr: 1.0000e-02 eta: 16:06:33 time: 0.2557 data_time: 0.0463 memory: 6108 grad_norm: 5.6186 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9251 loss: 1.9251 2022/07/22 22:59:13 - mmengine - INFO - Epoch(train) [35][140/3757] lr: 1.0000e-02 eta: 16:06:28 time: 0.2205 data_time: 0.0172 memory: 6108 grad_norm: 5.7939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0574 loss: 2.0574 2022/07/22 22:59:19 - mmengine - INFO - Epoch(train) [35][160/3757] lr: 1.0000e-02 eta: 16:06:25 time: 0.2831 data_time: 0.0152 memory: 6108 grad_norm: 5.7289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9369 loss: 1.9369 2022/07/22 22:59:23 - mmengine - INFO - Epoch(train) [35][180/3757] lr: 1.0000e-02 eta: 16:06:20 time: 0.2190 data_time: 0.0239 memory: 6108 grad_norm: 5.7556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2920 loss: 2.2920 2022/07/22 22:59:28 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 1.0000e-02 eta: 16:06:15 time: 0.2225 data_time: 0.0200 memory: 6108 grad_norm: 5.7203 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1159 loss: 2.1159 2022/07/22 22:59:33 - mmengine - INFO - Epoch(train) [35][220/3757] lr: 1.0000e-02 eta: 16:06:11 time: 0.2503 data_time: 0.0259 memory: 6108 grad_norm: 5.4864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1201 loss: 2.1201 2022/07/22 22:59:37 - mmengine - INFO - Epoch(train) [35][240/3757] lr: 1.0000e-02 eta: 16:06:06 time: 0.2248 data_time: 0.0193 memory: 6108 grad_norm: 5.6546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0964 loss: 2.0964 2022/07/22 22:59:42 - mmengine - INFO - Epoch(train) [35][260/3757] lr: 1.0000e-02 eta: 16:06:01 time: 0.2487 data_time: 0.0166 memory: 6108 grad_norm: 5.5330 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8635 loss: 1.8635 2022/07/22 22:59:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 22:59:47 - mmengine - INFO - Epoch(train) [35][280/3757] lr: 1.0000e-02 eta: 16:05:56 time: 0.2244 data_time: 0.0168 memory: 6108 grad_norm: 5.6302 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2885 loss: 2.2885 2022/07/22 22:59:52 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 1.0000e-02 eta: 16:05:52 time: 0.2453 data_time: 0.0252 memory: 6108 grad_norm: 5.7909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8754 loss: 1.8754 2022/07/22 22:59:57 - mmengine - INFO - Epoch(train) [35][320/3757] lr: 1.0000e-02 eta: 16:05:48 time: 0.2546 data_time: 0.0183 memory: 6108 grad_norm: 5.6124 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2390 loss: 2.2390 2022/07/22 23:00:02 - mmengine - INFO - Epoch(train) [35][340/3757] lr: 1.0000e-02 eta: 16:05:44 time: 0.2404 data_time: 0.0245 memory: 6108 grad_norm: 5.7314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9743 loss: 1.9743 2022/07/22 23:00:06 - mmengine - INFO - Epoch(train) [35][360/3757] lr: 1.0000e-02 eta: 16:05:39 time: 0.2340 data_time: 0.0241 memory: 6108 grad_norm: 5.4958 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8358 loss: 1.8358 2022/07/22 23:00:11 - mmengine - INFO - Epoch(train) [35][380/3757] lr: 1.0000e-02 eta: 16:05:34 time: 0.2302 data_time: 0.0293 memory: 6108 grad_norm: 5.8614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1418 loss: 2.1418 2022/07/22 23:00:16 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 1.0000e-02 eta: 16:05:29 time: 0.2264 data_time: 0.0287 memory: 6108 grad_norm: 5.4667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7840 loss: 1.7840 2022/07/22 23:00:20 - mmengine - INFO - Epoch(train) [35][420/3757] lr: 1.0000e-02 eta: 16:05:24 time: 0.2241 data_time: 0.0218 memory: 6108 grad_norm: 5.8024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8430 loss: 1.8430 2022/07/22 23:00:25 - mmengine - INFO - Epoch(train) [35][440/3757] lr: 1.0000e-02 eta: 16:05:20 time: 0.2458 data_time: 0.0214 memory: 6108 grad_norm: 5.6868 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1265 loss: 2.1265 2022/07/22 23:00:30 - mmengine - INFO - Epoch(train) [35][460/3757] lr: 1.0000e-02 eta: 16:05:16 time: 0.2400 data_time: 0.0205 memory: 6108 grad_norm: 5.6989 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9948 loss: 1.9948 2022/07/22 23:00:34 - mmengine - INFO - Epoch(train) [35][480/3757] lr: 1.0000e-02 eta: 16:05:10 time: 0.2208 data_time: 0.0223 memory: 6108 grad_norm: 5.7402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9068 loss: 1.9068 2022/07/22 23:00:39 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 1.0000e-02 eta: 16:05:06 time: 0.2388 data_time: 0.0236 memory: 6108 grad_norm: 5.7156 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2854 loss: 2.2854 2022/07/22 23:00:44 - mmengine - INFO - Epoch(train) [35][520/3757] lr: 1.0000e-02 eta: 16:05:01 time: 0.2374 data_time: 0.0216 memory: 6108 grad_norm: 5.7412 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9193 loss: 1.9193 2022/07/22 23:00:49 - mmengine - INFO - Epoch(train) [35][540/3757] lr: 1.0000e-02 eta: 16:04:57 time: 0.2465 data_time: 0.0222 memory: 6108 grad_norm: 5.7104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0984 loss: 2.0984 2022/07/22 23:00:53 - mmengine - INFO - Epoch(train) [35][560/3757] lr: 1.0000e-02 eta: 16:04:52 time: 0.2216 data_time: 0.0241 memory: 6108 grad_norm: 5.7531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9750 loss: 1.9750 2022/07/22 23:00:58 - mmengine - INFO - Epoch(train) [35][580/3757] lr: 1.0000e-02 eta: 16:04:48 time: 0.2518 data_time: 0.0221 memory: 6108 grad_norm: 5.6024 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2838 loss: 2.2838 2022/07/22 23:01:03 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 1.0000e-02 eta: 16:04:44 time: 0.2451 data_time: 0.0178 memory: 6108 grad_norm: 5.6235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8850 loss: 1.8850 2022/07/22 23:01:08 - mmengine - INFO - Epoch(train) [35][620/3757] lr: 1.0000e-02 eta: 16:04:39 time: 0.2380 data_time: 0.0339 memory: 6108 grad_norm: 5.6792 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1850 loss: 2.1850 2022/07/22 23:01:13 - mmengine - INFO - Epoch(train) [35][640/3757] lr: 1.0000e-02 eta: 16:04:34 time: 0.2277 data_time: 0.0195 memory: 6108 grad_norm: 5.6615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/07/22 23:01:17 - mmengine - INFO - Epoch(train) [35][660/3757] lr: 1.0000e-02 eta: 16:04:30 time: 0.2340 data_time: 0.0231 memory: 6108 grad_norm: 5.7483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0857 loss: 2.0857 2022/07/22 23:01:22 - mmengine - INFO - Epoch(train) [35][680/3757] lr: 1.0000e-02 eta: 16:04:25 time: 0.2317 data_time: 0.0227 memory: 6108 grad_norm: 5.8100 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8623 loss: 1.8623 2022/07/22 23:01:27 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 1.0000e-02 eta: 16:04:20 time: 0.2367 data_time: 0.0209 memory: 6108 grad_norm: 5.5963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6751 loss: 1.6751 2022/07/22 23:01:32 - mmengine - INFO - Epoch(train) [35][720/3757] lr: 1.0000e-02 eta: 16:04:17 time: 0.2614 data_time: 0.0188 memory: 6108 grad_norm: 5.5447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6792 loss: 1.6792 2022/07/22 23:01:37 - mmengine - INFO - Epoch(train) [35][740/3757] lr: 1.0000e-02 eta: 16:04:12 time: 0.2473 data_time: 0.0235 memory: 6108 grad_norm: 5.5892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1338 loss: 2.1338 2022/07/22 23:01:42 - mmengine - INFO - Epoch(train) [35][760/3757] lr: 1.0000e-02 eta: 16:04:08 time: 0.2346 data_time: 0.0247 memory: 6108 grad_norm: 5.6749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1178 loss: 2.1178 2022/07/22 23:01:46 - mmengine - INFO - Epoch(train) [35][780/3757] lr: 1.0000e-02 eta: 16:04:03 time: 0.2281 data_time: 0.0173 memory: 6108 grad_norm: 5.7503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9873 loss: 1.9873 2022/07/22 23:01:51 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 1.0000e-02 eta: 16:03:58 time: 0.2358 data_time: 0.0337 memory: 6108 grad_norm: 5.6765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8402 loss: 1.8402 2022/07/22 23:01:55 - mmengine - INFO - Epoch(train) [35][820/3757] lr: 1.0000e-02 eta: 16:03:53 time: 0.2243 data_time: 0.0290 memory: 6108 grad_norm: 5.7779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9839 loss: 1.9839 2022/07/22 23:02:01 - mmengine - INFO - Epoch(train) [35][840/3757] lr: 1.0000e-02 eta: 16:03:49 time: 0.2574 data_time: 0.0179 memory: 6108 grad_norm: 5.7223 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0713 loss: 2.0713 2022/07/22 23:02:05 - mmengine - INFO - Epoch(train) [35][860/3757] lr: 1.0000e-02 eta: 16:03:45 time: 0.2355 data_time: 0.0230 memory: 6108 grad_norm: 5.7683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0459 loss: 2.0459 2022/07/22 23:02:10 - mmengine - INFO - Epoch(train) [35][880/3757] lr: 1.0000e-02 eta: 16:03:40 time: 0.2300 data_time: 0.0202 memory: 6108 grad_norm: 5.8305 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4045 loss: 2.4045 2022/07/22 23:02:15 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 1.0000e-02 eta: 16:03:36 time: 0.2521 data_time: 0.0184 memory: 6108 grad_norm: 5.5064 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0957 loss: 2.0957 2022/07/22 23:02:20 - mmengine - INFO - Epoch(train) [35][920/3757] lr: 1.0000e-02 eta: 16:03:32 time: 0.2468 data_time: 0.0197 memory: 6108 grad_norm: 5.4532 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6219 loss: 1.6219 2022/07/22 23:02:24 - mmengine - INFO - Epoch(train) [35][940/3757] lr: 1.0000e-02 eta: 16:03:27 time: 0.2196 data_time: 0.0186 memory: 6108 grad_norm: 5.7013 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1884 loss: 2.1884 2022/07/22 23:02:29 - mmengine - INFO - Epoch(train) [35][960/3757] lr: 1.0000e-02 eta: 16:03:22 time: 0.2311 data_time: 0.0208 memory: 6108 grad_norm: 5.7145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7175 loss: 1.7175 2022/07/22 23:02:33 - mmengine - INFO - Epoch(train) [35][980/3757] lr: 1.0000e-02 eta: 16:03:17 time: 0.2246 data_time: 0.0218 memory: 6108 grad_norm: 5.5020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9326 loss: 1.9326 2022/07/22 23:02:38 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 1.0000e-02 eta: 16:03:12 time: 0.2284 data_time: 0.0265 memory: 6108 grad_norm: 5.8880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2781 loss: 2.2781 2022/07/22 23:02:43 - mmengine - INFO - Epoch(train) [35][1020/3757] lr: 1.0000e-02 eta: 16:03:07 time: 0.2415 data_time: 0.0215 memory: 6108 grad_norm: 5.6685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9409 loss: 1.9409 2022/07/22 23:02:47 - mmengine - INFO - Epoch(train) [35][1040/3757] lr: 1.0000e-02 eta: 16:03:02 time: 0.2255 data_time: 0.0214 memory: 6108 grad_norm: 5.7222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0093 loss: 2.0093 2022/07/22 23:02:52 - mmengine - INFO - Epoch(train) [35][1060/3757] lr: 1.0000e-02 eta: 16:02:58 time: 0.2275 data_time: 0.0278 memory: 6108 grad_norm: 5.5982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/07/22 23:02:56 - mmengine - INFO - Epoch(train) [35][1080/3757] lr: 1.0000e-02 eta: 16:02:52 time: 0.2220 data_time: 0.0213 memory: 6108 grad_norm: 5.7462 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0669 loss: 2.0669 2022/07/22 23:03:01 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 1.0000e-02 eta: 16:02:48 time: 0.2466 data_time: 0.0210 memory: 6108 grad_norm: 5.5729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9253 loss: 1.9253 2022/07/22 23:03:06 - mmengine - INFO - Epoch(train) [35][1120/3757] lr: 1.0000e-02 eta: 16:02:43 time: 0.2251 data_time: 0.0245 memory: 6108 grad_norm: 5.5037 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9899 loss: 1.9899 2022/07/22 23:03:10 - mmengine - INFO - Epoch(train) [35][1140/3757] lr: 1.0000e-02 eta: 16:02:38 time: 0.2229 data_time: 0.0178 memory: 6108 grad_norm: 5.7908 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2522 loss: 2.2522 2022/07/22 23:03:15 - mmengine - INFO - Epoch(train) [35][1160/3757] lr: 1.0000e-02 eta: 16:02:33 time: 0.2318 data_time: 0.0268 memory: 6108 grad_norm: 5.7805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1514 loss: 2.1514 2022/07/22 23:03:20 - mmengine - INFO - Epoch(train) [35][1180/3757] lr: 1.0000e-02 eta: 16:02:29 time: 0.2489 data_time: 0.0176 memory: 6108 grad_norm: 5.5192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/07/22 23:03:24 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 1.0000e-02 eta: 16:02:24 time: 0.2247 data_time: 0.0212 memory: 6108 grad_norm: 5.6548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8506 loss: 1.8506 2022/07/22 23:03:29 - mmengine - INFO - Epoch(train) [35][1220/3757] lr: 1.0000e-02 eta: 16:02:19 time: 0.2242 data_time: 0.0246 memory: 6108 grad_norm: 5.7252 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6361 loss: 1.6361 2022/07/22 23:03:34 - mmengine - INFO - Epoch(train) [35][1240/3757] lr: 1.0000e-02 eta: 16:02:14 time: 0.2274 data_time: 0.0219 memory: 6108 grad_norm: 5.7278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1398 loss: 2.1398 2022/07/22 23:03:38 - mmengine - INFO - Epoch(train) [35][1260/3757] lr: 1.0000e-02 eta: 16:02:09 time: 0.2289 data_time: 0.0191 memory: 6108 grad_norm: 5.5998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0134 loss: 2.0134 2022/07/22 23:03:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:03:43 - mmengine - INFO - Epoch(train) [35][1280/3757] lr: 1.0000e-02 eta: 16:02:06 time: 0.2653 data_time: 0.0206 memory: 6108 grad_norm: 5.7738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8548 loss: 1.8548 2022/07/22 23:03:48 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 1.0000e-02 eta: 16:02:01 time: 0.2254 data_time: 0.0263 memory: 6108 grad_norm: 5.5880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8476 loss: 1.8476 2022/07/22 23:03:52 - mmengine - INFO - Epoch(train) [35][1320/3757] lr: 1.0000e-02 eta: 16:01:56 time: 0.2233 data_time: 0.0209 memory: 6108 grad_norm: 5.6194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8647 loss: 1.8647 2022/07/22 23:03:57 - mmengine - INFO - Epoch(train) [35][1340/3757] lr: 1.0000e-02 eta: 16:01:51 time: 0.2249 data_time: 0.0246 memory: 6108 grad_norm: 5.7189 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1491 loss: 2.1491 2022/07/22 23:04:02 - mmengine - INFO - Epoch(train) [35][1360/3757] lr: 1.0000e-02 eta: 16:01:47 time: 0.2537 data_time: 0.0313 memory: 6108 grad_norm: 5.6459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2919 loss: 2.2919 2022/07/22 23:04:07 - mmengine - INFO - Epoch(train) [35][1380/3757] lr: 1.0000e-02 eta: 16:01:42 time: 0.2231 data_time: 0.0170 memory: 6108 grad_norm: 5.6311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/07/22 23:04:11 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 1.0000e-02 eta: 16:01:37 time: 0.2246 data_time: 0.0238 memory: 6108 grad_norm: 5.5875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0038 loss: 2.0038 2022/07/22 23:04:16 - mmengine - INFO - Epoch(train) [35][1420/3757] lr: 1.0000e-02 eta: 16:01:32 time: 0.2246 data_time: 0.0219 memory: 6108 grad_norm: 5.8517 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9002 loss: 1.9002 2022/07/22 23:04:21 - mmengine - INFO - Epoch(train) [35][1440/3757] lr: 1.0000e-02 eta: 16:01:29 time: 0.2770 data_time: 0.0206 memory: 6108 grad_norm: 5.9971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0941 loss: 2.0941 2022/07/22 23:04:26 - mmengine - INFO - Epoch(train) [35][1460/3757] lr: 1.0000e-02 eta: 16:01:23 time: 0.2214 data_time: 0.0215 memory: 6108 grad_norm: 5.8480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8668 loss: 1.8668 2022/07/22 23:04:30 - mmengine - INFO - Epoch(train) [35][1480/3757] lr: 1.0000e-02 eta: 16:01:18 time: 0.2281 data_time: 0.0197 memory: 6108 grad_norm: 5.7610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0408 loss: 2.0408 2022/07/22 23:04:35 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 1.0000e-02 eta: 16:01:13 time: 0.2220 data_time: 0.0212 memory: 6108 grad_norm: 5.6792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0376 loss: 2.0376 2022/07/22 23:04:40 - mmengine - INFO - Epoch(train) [35][1520/3757] lr: 1.0000e-02 eta: 16:01:09 time: 0.2536 data_time: 0.0286 memory: 6108 grad_norm: 5.8185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0311 loss: 2.0311 2022/07/22 23:04:44 - mmengine - INFO - Epoch(train) [35][1540/3757] lr: 1.0000e-02 eta: 16:01:04 time: 0.2205 data_time: 0.0215 memory: 6108 grad_norm: 5.7426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8267 loss: 1.8267 2022/07/22 23:04:48 - mmengine - INFO - Epoch(train) [35][1560/3757] lr: 1.0000e-02 eta: 16:00:59 time: 0.2188 data_time: 0.0176 memory: 6108 grad_norm: 5.5644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2314 loss: 2.2314 2022/07/22 23:04:53 - mmengine - INFO - Epoch(train) [35][1580/3757] lr: 1.0000e-02 eta: 16:00:54 time: 0.2288 data_time: 0.0212 memory: 6108 grad_norm: 5.4038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8855 loss: 1.8855 2022/07/22 23:04:58 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 1.0000e-02 eta: 16:00:49 time: 0.2290 data_time: 0.0190 memory: 6108 grad_norm: 5.6314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9813 loss: 1.9813 2022/07/22 23:05:02 - mmengine - INFO - Epoch(train) [35][1620/3757] lr: 1.0000e-02 eta: 16:00:45 time: 0.2371 data_time: 0.0217 memory: 6108 grad_norm: 5.6278 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1140 loss: 2.1140 2022/07/22 23:05:07 - mmengine - INFO - Epoch(train) [35][1640/3757] lr: 1.0000e-02 eta: 16:00:40 time: 0.2257 data_time: 0.0248 memory: 6108 grad_norm: 5.6528 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1169 loss: 2.1169 2022/07/22 23:05:12 - mmengine - INFO - Epoch(train) [35][1660/3757] lr: 1.0000e-02 eta: 16:00:35 time: 0.2380 data_time: 0.0173 memory: 6108 grad_norm: 5.7726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/07/22 23:05:16 - mmengine - INFO - Epoch(train) [35][1680/3757] lr: 1.0000e-02 eta: 16:00:30 time: 0.2256 data_time: 0.0210 memory: 6108 grad_norm: 5.8333 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8408 loss: 1.8408 2022/07/22 23:05:21 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 1.0000e-02 eta: 16:00:26 time: 0.2539 data_time: 0.0186 memory: 6108 grad_norm: 5.5688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3702 loss: 2.3702 2022/07/22 23:05:26 - mmengine - INFO - Epoch(train) [35][1720/3757] lr: 1.0000e-02 eta: 16:00:21 time: 0.2273 data_time: 0.0167 memory: 6108 grad_norm: 5.7582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9578 loss: 1.9578 2022/07/22 23:05:30 - mmengine - INFO - Epoch(train) [35][1740/3757] lr: 1.0000e-02 eta: 16:00:16 time: 0.2266 data_time: 0.0205 memory: 6108 grad_norm: 5.7807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9764 loss: 1.9764 2022/07/22 23:05:35 - mmengine - INFO - Epoch(train) [35][1760/3757] lr: 1.0000e-02 eta: 16:00:12 time: 0.2333 data_time: 0.0207 memory: 6108 grad_norm: 5.7074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1634 loss: 2.1634 2022/07/22 23:05:40 - mmengine - INFO - Epoch(train) [35][1780/3757] lr: 1.0000e-02 eta: 16:00:07 time: 0.2364 data_time: 0.0232 memory: 6108 grad_norm: 5.6695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8757 loss: 1.8757 2022/07/22 23:05:44 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 1.0000e-02 eta: 16:00:02 time: 0.2287 data_time: 0.0173 memory: 6108 grad_norm: 5.7536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/07/22 23:05:49 - mmengine - INFO - Epoch(train) [35][1820/3757] lr: 1.0000e-02 eta: 15:59:57 time: 0.2260 data_time: 0.0253 memory: 6108 grad_norm: 5.8283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/07/22 23:05:54 - mmengine - INFO - Epoch(train) [35][1840/3757] lr: 1.0000e-02 eta: 15:59:53 time: 0.2358 data_time: 0.0286 memory: 6108 grad_norm: 5.6409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7563 loss: 1.7563 2022/07/22 23:05:58 - mmengine - INFO - Epoch(train) [35][1860/3757] lr: 1.0000e-02 eta: 15:59:47 time: 0.2239 data_time: 0.0195 memory: 6108 grad_norm: 5.9176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2224 loss: 2.2224 2022/07/22 23:06:03 - mmengine - INFO - Epoch(train) [35][1880/3757] lr: 1.0000e-02 eta: 15:59:43 time: 0.2329 data_time: 0.0247 memory: 6108 grad_norm: 5.6970 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2780 loss: 2.2780 2022/07/22 23:06:07 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 1.0000e-02 eta: 15:59:38 time: 0.2249 data_time: 0.0242 memory: 6108 grad_norm: 5.7385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9313 loss: 1.9313 2022/07/22 23:06:12 - mmengine - INFO - Epoch(train) [35][1920/3757] lr: 1.0000e-02 eta: 15:59:34 time: 0.2524 data_time: 0.0286 memory: 6108 grad_norm: 5.4838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9081 loss: 1.9081 2022/07/22 23:06:17 - mmengine - INFO - Epoch(train) [35][1940/3757] lr: 1.0000e-02 eta: 15:59:29 time: 0.2258 data_time: 0.0226 memory: 6108 grad_norm: 5.8485 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9919 loss: 1.9919 2022/07/22 23:06:21 - mmengine - INFO - Epoch(train) [35][1960/3757] lr: 1.0000e-02 eta: 15:59:24 time: 0.2251 data_time: 0.0268 memory: 6108 grad_norm: 5.6428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9523 loss: 1.9523 2022/07/22 23:06:26 - mmengine - INFO - Epoch(train) [35][1980/3757] lr: 1.0000e-02 eta: 15:59:19 time: 0.2224 data_time: 0.0195 memory: 6108 grad_norm: 5.7364 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0595 loss: 2.0595 2022/07/22 23:06:31 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 1.0000e-02 eta: 15:59:14 time: 0.2388 data_time: 0.0197 memory: 6108 grad_norm: 5.6875 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2997 loss: 2.2997 2022/07/22 23:06:35 - mmengine - INFO - Epoch(train) [35][2020/3757] lr: 1.0000e-02 eta: 15:59:09 time: 0.2256 data_time: 0.0227 memory: 6108 grad_norm: 5.6556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0996 loss: 2.0996 2022/07/22 23:06:41 - mmengine - INFO - Epoch(train) [35][2040/3757] lr: 1.0000e-02 eta: 15:59:06 time: 0.2717 data_time: 0.0170 memory: 6108 grad_norm: 5.7381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9509 loss: 1.9509 2022/07/22 23:06:45 - mmengine - INFO - Epoch(train) [35][2060/3757] lr: 1.0000e-02 eta: 15:59:01 time: 0.2225 data_time: 0.0237 memory: 6108 grad_norm: 5.8254 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8870 loss: 1.8870 2022/07/22 23:06:50 - mmengine - INFO - Epoch(train) [35][2080/3757] lr: 1.0000e-02 eta: 15:58:56 time: 0.2294 data_time: 0.0190 memory: 6108 grad_norm: 5.6380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1405 loss: 2.1405 2022/07/22 23:06:54 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 1.0000e-02 eta: 15:58:51 time: 0.2339 data_time: 0.0187 memory: 6108 grad_norm: 5.6728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3471 loss: 2.3471 2022/07/22 23:06:59 - mmengine - INFO - Epoch(train) [35][2120/3757] lr: 1.0000e-02 eta: 15:58:46 time: 0.2237 data_time: 0.0205 memory: 6108 grad_norm: 5.6734 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7230 loss: 1.7230 2022/07/22 23:07:04 - mmengine - INFO - Epoch(train) [35][2140/3757] lr: 1.0000e-02 eta: 15:58:41 time: 0.2309 data_time: 0.0182 memory: 6108 grad_norm: 5.6285 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/07/22 23:07:08 - mmengine - INFO - Epoch(train) [35][2160/3757] lr: 1.0000e-02 eta: 15:58:36 time: 0.2268 data_time: 0.0216 memory: 6108 grad_norm: 5.6537 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7718 loss: 1.7718 2022/07/22 23:07:14 - mmengine - INFO - Epoch(train) [35][2180/3757] lr: 1.0000e-02 eta: 15:58:33 time: 0.2755 data_time: 0.0201 memory: 6108 grad_norm: 5.7963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8560 loss: 1.8560 2022/07/22 23:07:18 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 1.0000e-02 eta: 15:58:28 time: 0.2273 data_time: 0.0196 memory: 6108 grad_norm: 5.7218 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1037 loss: 2.1037 2022/07/22 23:07:23 - mmengine - INFO - Epoch(train) [35][2220/3757] lr: 1.0000e-02 eta: 15:58:23 time: 0.2286 data_time: 0.0218 memory: 6108 grad_norm: 5.6917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7785 loss: 1.7785 2022/07/22 23:07:27 - mmengine - INFO - Epoch(train) [35][2240/3757] lr: 1.0000e-02 eta: 15:58:18 time: 0.2254 data_time: 0.0230 memory: 6108 grad_norm: 5.9940 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2830 loss: 2.2830 2022/07/22 23:07:32 - mmengine - INFO - Epoch(train) [35][2260/3757] lr: 1.0000e-02 eta: 15:58:15 time: 0.2557 data_time: 0.0229 memory: 6108 grad_norm: 5.7122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9463 loss: 1.9463 2022/07/22 23:07:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:07:37 - mmengine - INFO - Epoch(train) [35][2280/3757] lr: 1.0000e-02 eta: 15:58:10 time: 0.2298 data_time: 0.0203 memory: 6108 grad_norm: 5.6204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1406 loss: 2.1406 2022/07/22 23:07:42 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 1.0000e-02 eta: 15:58:05 time: 0.2254 data_time: 0.0188 memory: 6108 grad_norm: 5.8218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0696 loss: 2.0696 2022/07/22 23:07:46 - mmengine - INFO - Epoch(train) [35][2320/3757] lr: 1.0000e-02 eta: 15:58:00 time: 0.2282 data_time: 0.0226 memory: 6108 grad_norm: 5.6788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0563 loss: 2.0563 2022/07/22 23:07:52 - mmengine - INFO - Epoch(train) [35][2340/3757] lr: 1.0000e-02 eta: 15:57:57 time: 0.2729 data_time: 0.0306 memory: 6108 grad_norm: 5.5663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7461 loss: 1.7461 2022/07/22 23:07:56 - mmengine - INFO - Epoch(train) [35][2360/3757] lr: 1.0000e-02 eta: 15:57:52 time: 0.2360 data_time: 0.0198 memory: 6108 grad_norm: 5.7068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9450 loss: 1.9450 2022/07/22 23:08:01 - mmengine - INFO - Epoch(train) [35][2380/3757] lr: 1.0000e-02 eta: 15:57:47 time: 0.2303 data_time: 0.0236 memory: 6108 grad_norm: 5.8624 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0531 loss: 2.0531 2022/07/22 23:08:05 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 1.0000e-02 eta: 15:57:42 time: 0.2222 data_time: 0.0215 memory: 6108 grad_norm: 5.7242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6419 loss: 1.6419 2022/07/22 23:08:10 - mmengine - INFO - Epoch(train) [35][2420/3757] lr: 1.0000e-02 eta: 15:57:38 time: 0.2462 data_time: 0.0181 memory: 6108 grad_norm: 5.7370 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9144 loss: 1.9144 2022/07/22 23:08:15 - mmengine - INFO - Epoch(train) [35][2440/3757] lr: 1.0000e-02 eta: 15:57:33 time: 0.2216 data_time: 0.0235 memory: 6108 grad_norm: 5.8493 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0002 loss: 2.0002 2022/07/22 23:08:20 - mmengine - INFO - Epoch(train) [35][2460/3757] lr: 1.0000e-02 eta: 15:57:29 time: 0.2670 data_time: 0.0151 memory: 6108 grad_norm: 5.7039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9894 loss: 1.9894 2022/07/22 23:08:25 - mmengine - INFO - Epoch(train) [35][2480/3757] lr: 1.0000e-02 eta: 15:57:24 time: 0.2265 data_time: 0.0170 memory: 6108 grad_norm: 5.5319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8421 loss: 1.8421 2022/07/22 23:08:29 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 1.0000e-02 eta: 15:57:19 time: 0.2237 data_time: 0.0263 memory: 6108 grad_norm: 5.4936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7256 loss: 1.7256 2022/07/22 23:08:34 - mmengine - INFO - Epoch(train) [35][2520/3757] lr: 1.0000e-02 eta: 15:57:15 time: 0.2404 data_time: 0.0191 memory: 6108 grad_norm: 5.8185 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2050 loss: 2.2050 2022/07/22 23:08:39 - mmengine - INFO - Epoch(train) [35][2540/3757] lr: 1.0000e-02 eta: 15:57:10 time: 0.2256 data_time: 0.0220 memory: 6108 grad_norm: 5.5714 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1601 loss: 2.1601 2022/07/22 23:08:44 - mmengine - INFO - Epoch(train) [35][2560/3757] lr: 1.0000e-02 eta: 15:57:06 time: 0.2489 data_time: 0.0193 memory: 6108 grad_norm: 5.7798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1920 loss: 2.1920 2022/07/22 23:08:48 - mmengine - INFO - Epoch(train) [35][2580/3757] lr: 1.0000e-02 eta: 15:57:01 time: 0.2302 data_time: 0.0210 memory: 6108 grad_norm: 5.6831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0950 loss: 2.0950 2022/07/22 23:08:53 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 1.0000e-02 eta: 15:56:56 time: 0.2345 data_time: 0.0212 memory: 6108 grad_norm: 5.6467 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4706 loss: 2.4706 2022/07/22 23:08:57 - mmengine - INFO - Epoch(train) [35][2620/3757] lr: 1.0000e-02 eta: 15:56:51 time: 0.2236 data_time: 0.0223 memory: 6108 grad_norm: 5.7055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/07/22 23:09:03 - mmengine - INFO - Epoch(train) [35][2640/3757] lr: 1.0000e-02 eta: 15:56:48 time: 0.2681 data_time: 0.0185 memory: 6108 grad_norm: 5.8160 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1760 loss: 2.1760 2022/07/22 23:09:07 - mmengine - INFO - Epoch(train) [35][2660/3757] lr: 1.0000e-02 eta: 15:56:43 time: 0.2256 data_time: 0.0184 memory: 6108 grad_norm: 5.6846 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9199 loss: 1.9199 2022/07/22 23:09:12 - mmengine - INFO - Epoch(train) [35][2680/3757] lr: 1.0000e-02 eta: 15:56:38 time: 0.2314 data_time: 0.0216 memory: 6108 grad_norm: 5.5266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8550 loss: 1.8550 2022/07/22 23:09:16 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 1.0000e-02 eta: 15:56:33 time: 0.2283 data_time: 0.0215 memory: 6108 grad_norm: 5.7835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1767 loss: 2.1767 2022/07/22 23:09:21 - mmengine - INFO - Epoch(train) [35][2720/3757] lr: 1.0000e-02 eta: 15:56:29 time: 0.2432 data_time: 0.0237 memory: 6108 grad_norm: 5.8183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9840 loss: 1.9840 2022/07/22 23:09:26 - mmengine - INFO - Epoch(train) [35][2740/3757] lr: 1.0000e-02 eta: 15:56:24 time: 0.2278 data_time: 0.0239 memory: 6108 grad_norm: 5.8961 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7380 loss: 1.7380 2022/07/22 23:09:30 - mmengine - INFO - Epoch(train) [35][2760/3757] lr: 1.0000e-02 eta: 15:56:19 time: 0.2244 data_time: 0.0223 memory: 6108 grad_norm: 5.5848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9314 loss: 1.9314 2022/07/22 23:09:35 - mmengine - INFO - Epoch(train) [35][2780/3757] lr: 1.0000e-02 eta: 15:56:14 time: 0.2248 data_time: 0.0223 memory: 6108 grad_norm: 5.6004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1828 loss: 2.1828 2022/07/22 23:09:40 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 1.0000e-02 eta: 15:56:10 time: 0.2637 data_time: 0.0237 memory: 6108 grad_norm: 5.8381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0036 loss: 2.0036 2022/07/22 23:09:45 - mmengine - INFO - Epoch(train) [35][2820/3757] lr: 1.0000e-02 eta: 15:56:05 time: 0.2217 data_time: 0.0252 memory: 6108 grad_norm: 5.7670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4695 loss: 2.4695 2022/07/22 23:09:49 - mmengine - INFO - Epoch(train) [35][2840/3757] lr: 1.0000e-02 eta: 15:56:00 time: 0.2262 data_time: 0.0210 memory: 6108 grad_norm: 5.7209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1531 loss: 2.1531 2022/07/22 23:09:54 - mmengine - INFO - Epoch(train) [35][2860/3757] lr: 1.0000e-02 eta: 15:55:55 time: 0.2251 data_time: 0.0248 memory: 6108 grad_norm: 5.8343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2352 loss: 2.2352 2022/07/22 23:09:58 - mmengine - INFO - Epoch(train) [35][2880/3757] lr: 1.0000e-02 eta: 15:55:50 time: 0.2327 data_time: 0.0196 memory: 6108 grad_norm: 5.6122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1432 loss: 2.1432 2022/07/22 23:10:03 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 1.0000e-02 eta: 15:55:45 time: 0.2235 data_time: 0.0227 memory: 6108 grad_norm: 5.6019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0149 loss: 2.0149 2022/07/22 23:10:08 - mmengine - INFO - Epoch(train) [35][2920/3757] lr: 1.0000e-02 eta: 15:55:41 time: 0.2335 data_time: 0.0211 memory: 6108 grad_norm: 5.5379 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9355 loss: 1.9355 2022/07/22 23:10:12 - mmengine - INFO - Epoch(train) [35][2940/3757] lr: 1.0000e-02 eta: 15:55:36 time: 0.2393 data_time: 0.0224 memory: 6108 grad_norm: 5.5517 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9717 loss: 1.9717 2022/07/22 23:10:17 - mmengine - INFO - Epoch(train) [35][2960/3757] lr: 1.0000e-02 eta: 15:55:31 time: 0.2254 data_time: 0.0211 memory: 6108 grad_norm: 5.7094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/07/22 23:10:21 - mmengine - INFO - Epoch(train) [35][2980/3757] lr: 1.0000e-02 eta: 15:55:26 time: 0.2253 data_time: 0.0201 memory: 6108 grad_norm: 5.7736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1901 loss: 2.1901 2022/07/22 23:10:26 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 1.0000e-02 eta: 15:55:21 time: 0.2292 data_time: 0.0196 memory: 6108 grad_norm: 5.5753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2372 loss: 2.2372 2022/07/22 23:10:31 - mmengine - INFO - Epoch(train) [35][3020/3757] lr: 1.0000e-02 eta: 15:55:17 time: 0.2358 data_time: 0.0264 memory: 6108 grad_norm: 5.4707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9926 loss: 1.9926 2022/07/22 23:10:35 - mmengine - INFO - Epoch(train) [35][3040/3757] lr: 1.0000e-02 eta: 15:55:12 time: 0.2247 data_time: 0.0237 memory: 6108 grad_norm: 5.5949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8728 loss: 1.8728 2022/07/22 23:10:41 - mmengine - INFO - Epoch(train) [35][3060/3757] lr: 1.0000e-02 eta: 15:55:08 time: 0.2671 data_time: 0.0314 memory: 6108 grad_norm: 5.5239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7849 loss: 1.7849 2022/07/22 23:10:45 - mmengine - INFO - Epoch(train) [35][3080/3757] lr: 1.0000e-02 eta: 15:55:03 time: 0.2199 data_time: 0.0179 memory: 6108 grad_norm: 5.3706 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9407 loss: 1.9407 2022/07/22 23:10:49 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 1.0000e-02 eta: 15:54:58 time: 0.2246 data_time: 0.0252 memory: 6108 grad_norm: 5.5563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/07/22 23:10:54 - mmengine - INFO - Epoch(train) [35][3120/3757] lr: 1.0000e-02 eta: 15:54:53 time: 0.2244 data_time: 0.0223 memory: 6108 grad_norm: 5.5902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8451 loss: 1.8451 2022/07/22 23:10:59 - mmengine - INFO - Epoch(train) [35][3140/3757] lr: 1.0000e-02 eta: 15:54:48 time: 0.2350 data_time: 0.0206 memory: 6108 grad_norm: 5.8244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1351 loss: 2.1351 2022/07/22 23:11:04 - mmengine - INFO - Epoch(train) [35][3160/3757] lr: 1.0000e-02 eta: 15:54:44 time: 0.2516 data_time: 0.0186 memory: 6108 grad_norm: 6.0050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0707 loss: 2.0707 2022/07/22 23:11:08 - mmengine - INFO - Epoch(train) [35][3180/3757] lr: 1.0000e-02 eta: 15:54:40 time: 0.2359 data_time: 0.0251 memory: 6108 grad_norm: 5.6120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0230 loss: 2.0230 2022/07/22 23:11:13 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 1.0000e-02 eta: 15:54:35 time: 0.2290 data_time: 0.0294 memory: 6108 grad_norm: 5.6157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9775 loss: 1.9775 2022/07/22 23:11:18 - mmengine - INFO - Epoch(train) [35][3220/3757] lr: 1.0000e-02 eta: 15:54:30 time: 0.2240 data_time: 0.0213 memory: 6108 grad_norm: 5.6617 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8238 loss: 1.8238 2022/07/22 23:11:23 - mmengine - INFO - Epoch(train) [35][3240/3757] lr: 1.0000e-02 eta: 15:54:26 time: 0.2660 data_time: 0.0196 memory: 6108 grad_norm: 5.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9959 loss: 1.9959 2022/07/22 23:11:27 - mmengine - INFO - Epoch(train) [35][3260/3757] lr: 1.0000e-02 eta: 15:54:21 time: 0.2225 data_time: 0.0204 memory: 6108 grad_norm: 5.6050 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8995 loss: 1.8995 2022/07/22 23:11:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:11:32 - mmengine - INFO - Epoch(train) [35][3280/3757] lr: 1.0000e-02 eta: 15:54:16 time: 0.2308 data_time: 0.0250 memory: 6108 grad_norm: 5.6139 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1571 loss: 2.1571 2022/07/22 23:11:37 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 1.0000e-02 eta: 15:54:12 time: 0.2449 data_time: 0.0224 memory: 6108 grad_norm: 5.7451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/07/22 23:11:42 - mmengine - INFO - Epoch(train) [35][3320/3757] lr: 1.0000e-02 eta: 15:54:07 time: 0.2366 data_time: 0.0183 memory: 6108 grad_norm: 5.7437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8526 loss: 1.8526 2022/07/22 23:11:46 - mmengine - INFO - Epoch(train) [35][3340/3757] lr: 1.0000e-02 eta: 15:54:03 time: 0.2394 data_time: 0.0223 memory: 6108 grad_norm: 5.6395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8482 loss: 1.8482 2022/07/22 23:11:51 - mmengine - INFO - Epoch(train) [35][3360/3757] lr: 1.0000e-02 eta: 15:53:58 time: 0.2345 data_time: 0.0210 memory: 6108 grad_norm: 5.9083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1803 loss: 2.1803 2022/07/22 23:11:56 - mmengine - INFO - Epoch(train) [35][3380/3757] lr: 1.0000e-02 eta: 15:53:53 time: 0.2282 data_time: 0.0200 memory: 6108 grad_norm: 5.7167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9964 loss: 1.9964 2022/07/22 23:12:01 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 1.0000e-02 eta: 15:53:49 time: 0.2393 data_time: 0.0221 memory: 6108 grad_norm: 5.5385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9027 loss: 1.9027 2022/07/22 23:12:05 - mmengine - INFO - Epoch(train) [35][3420/3757] lr: 1.0000e-02 eta: 15:53:44 time: 0.2237 data_time: 0.0233 memory: 6108 grad_norm: 5.8004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2873 loss: 2.2873 2022/07/22 23:12:10 - mmengine - INFO - Epoch(train) [35][3440/3757] lr: 1.0000e-02 eta: 15:53:39 time: 0.2241 data_time: 0.0178 memory: 6108 grad_norm: 5.6592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9585 loss: 1.9585 2022/07/22 23:12:14 - mmengine - INFO - Epoch(train) [35][3460/3757] lr: 1.0000e-02 eta: 15:53:34 time: 0.2379 data_time: 0.0323 memory: 6108 grad_norm: 5.6799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0683 loss: 2.0683 2022/07/22 23:12:19 - mmengine - INFO - Epoch(train) [35][3480/3757] lr: 1.0000e-02 eta: 15:53:29 time: 0.2240 data_time: 0.0206 memory: 6108 grad_norm: 5.5207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9770 loss: 1.9770 2022/07/22 23:12:24 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 1.0000e-02 eta: 15:53:25 time: 0.2438 data_time: 0.0200 memory: 6108 grad_norm: 5.7229 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1737 loss: 2.1737 2022/07/22 23:12:28 - mmengine - INFO - Epoch(train) [35][3520/3757] lr: 1.0000e-02 eta: 15:53:20 time: 0.2298 data_time: 0.0209 memory: 6108 grad_norm: 5.6416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0579 loss: 2.0579 2022/07/22 23:12:33 - mmengine - INFO - Epoch(train) [35][3540/3757] lr: 1.0000e-02 eta: 15:53:15 time: 0.2299 data_time: 0.0195 memory: 6108 grad_norm: 5.5761 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9891 loss: 1.9891 2022/07/22 23:12:38 - mmengine - INFO - Epoch(train) [35][3560/3757] lr: 1.0000e-02 eta: 15:53:11 time: 0.2482 data_time: 0.0185 memory: 6108 grad_norm: 5.5144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/07/22 23:12:43 - mmengine - INFO - Epoch(train) [35][3580/3757] lr: 1.0000e-02 eta: 15:53:06 time: 0.2325 data_time: 0.0265 memory: 6108 grad_norm: 5.5282 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8942 loss: 1.8942 2022/07/22 23:12:47 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 1.0000e-02 eta: 15:53:01 time: 0.2246 data_time: 0.0190 memory: 6108 grad_norm: 5.7881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0960 loss: 2.0960 2022/07/22 23:12:52 - mmengine - INFO - Epoch(train) [35][3620/3757] lr: 1.0000e-02 eta: 15:52:57 time: 0.2389 data_time: 0.0253 memory: 6108 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7040 loss: 1.7040 2022/07/22 23:12:56 - mmengine - INFO - Epoch(train) [35][3640/3757] lr: 1.0000e-02 eta: 15:52:52 time: 0.2244 data_time: 0.0266 memory: 6108 grad_norm: 5.7470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3534 loss: 2.3534 2022/07/22 23:13:01 - mmengine - INFO - Epoch(train) [35][3660/3757] lr: 1.0000e-02 eta: 15:52:47 time: 0.2223 data_time: 0.0193 memory: 6108 grad_norm: 5.8122 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0424 loss: 2.0424 2022/07/22 23:13:05 - mmengine - INFO - Epoch(train) [35][3680/3757] lr: 1.0000e-02 eta: 15:52:42 time: 0.2274 data_time: 0.0217 memory: 6108 grad_norm: 5.5864 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1308 loss: 2.1308 2022/07/22 23:13:10 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 1.0000e-02 eta: 15:52:37 time: 0.2408 data_time: 0.0222 memory: 6108 grad_norm: 5.5503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0354 loss: 2.0354 2022/07/22 23:13:15 - mmengine - INFO - Epoch(train) [35][3720/3757] lr: 1.0000e-02 eta: 15:52:32 time: 0.2222 data_time: 0.0206 memory: 6108 grad_norm: 5.7035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0164 loss: 2.0164 2022/07/22 23:13:20 - mmengine - INFO - Epoch(train) [35][3740/3757] lr: 1.0000e-02 eta: 15:52:28 time: 0.2527 data_time: 0.0226 memory: 6108 grad_norm: 5.6403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6898 loss: 1.6898 2022/07/22 23:13:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:13:23 - mmengine - INFO - Epoch(train) [35][3757/3757] lr: 1.0000e-02 eta: 15:52:28 time: 0.2126 data_time: 0.0156 memory: 6108 grad_norm: 5.5616 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.2276 loss: 2.2276 2022/07/22 23:13:23 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/07/22 23:13:32 - mmengine - INFO - Epoch(val) [35][20/310] eta: 0:01:18 time: 0.2722 data_time: 0.1974 memory: 1428 2022/07/22 23:13:36 - mmengine - INFO - Epoch(val) [35][40/310] eta: 0:00:51 time: 0.1893 data_time: 0.1119 memory: 1428 2022/07/22 23:13:41 - mmengine - INFO - Epoch(val) [35][60/310] eta: 0:00:58 time: 0.2347 data_time: 0.1465 memory: 1428 2022/07/22 23:13:45 - mmengine - INFO - Epoch(val) [35][80/310] eta: 0:00:45 time: 0.1969 data_time: 0.1203 memory: 1428 2022/07/22 23:13:50 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:00:50 time: 0.2383 data_time: 0.1668 memory: 1428 2022/07/22 23:13:53 - mmengine - INFO - Epoch(val) [35][120/310] eta: 0:00:35 time: 0.1874 data_time: 0.1092 memory: 1428 2022/07/22 23:13:58 - mmengine - INFO - Epoch(val) [35][140/310] eta: 0:00:40 time: 0.2409 data_time: 0.1683 memory: 1428 2022/07/22 23:14:02 - mmengine - INFO - Epoch(val) [35][160/310] eta: 0:00:31 time: 0.2104 data_time: 0.1060 memory: 1428 2022/07/22 23:14:07 - mmengine - INFO - Epoch(val) [35][180/310] eta: 0:00:29 time: 0.2305 data_time: 0.1546 memory: 1428 2022/07/22 23:14:11 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:00:19 time: 0.1770 data_time: 0.1020 memory: 1428 2022/07/22 23:14:15 - mmengine - INFO - Epoch(val) [35][220/310] eta: 0:00:22 time: 0.2461 data_time: 0.1684 memory: 1428 2022/07/22 23:14:19 - mmengine - INFO - Epoch(val) [35][240/310] eta: 0:00:12 time: 0.1715 data_time: 0.0962 memory: 1428 2022/07/22 23:14:24 - mmengine - INFO - Epoch(val) [35][260/310] eta: 0:00:13 time: 0.2646 data_time: 0.1872 memory: 1428 2022/07/22 23:14:28 - mmengine - INFO - Epoch(val) [35][280/310] eta: 0:00:05 time: 0.1861 data_time: 0.1088 memory: 1428 2022/07/22 23:14:31 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:01 time: 0.1552 data_time: 0.0968 memory: 1428 2022/07/22 23:14:33 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.5607 acc/top5: 0.8013 acc/mean1: 0.5605 2022/07/22 23:14:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_35.pth is removed 2022/07/22 23:14:36 - mmengine - INFO - The best checkpoint with 0.5607 acc/top1 at 36 epoch is saved to best_acc/top1_epoch_36.pth. 2022/07/22 23:14:41 - mmengine - INFO - Epoch(train) [36][20/3757] lr: 1.0000e-02 eta: 15:52:13 time: 0.2671 data_time: 0.0711 memory: 6108 grad_norm: 5.7765 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0291 loss: 2.0291 2022/07/22 23:14:46 - mmengine - INFO - Epoch(train) [36][40/3757] lr: 1.0000e-02 eta: 15:52:08 time: 0.2285 data_time: 0.0193 memory: 6108 grad_norm: 5.6159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7373 loss: 1.7373 2022/07/22 23:14:51 - mmengine - INFO - Epoch(train) [36][60/3757] lr: 1.0000e-02 eta: 15:52:04 time: 0.2422 data_time: 0.0276 memory: 6108 grad_norm: 5.6549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9827 loss: 1.9827 2022/07/22 23:14:55 - mmengine - INFO - Epoch(train) [36][80/3757] lr: 1.0000e-02 eta: 15:51:59 time: 0.2271 data_time: 0.0273 memory: 6108 grad_norm: 5.6026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2464 loss: 2.2464 2022/07/22 23:15:00 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 1.0000e-02 eta: 15:51:55 time: 0.2362 data_time: 0.0227 memory: 6108 grad_norm: 5.6511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0650 loss: 2.0650 2022/07/22 23:15:05 - mmengine - INFO - Epoch(train) [36][120/3757] lr: 1.0000e-02 eta: 15:51:50 time: 0.2325 data_time: 0.0302 memory: 6108 grad_norm: 5.6498 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1593 loss: 2.1593 2022/07/22 23:15:10 - mmengine - INFO - Epoch(train) [36][140/3757] lr: 1.0000e-02 eta: 15:51:45 time: 0.2430 data_time: 0.0186 memory: 6108 grad_norm: 5.7365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7741 loss: 1.7741 2022/07/22 23:15:15 - mmengine - INFO - Epoch(train) [36][160/3757] lr: 1.0000e-02 eta: 15:51:41 time: 0.2498 data_time: 0.0254 memory: 6108 grad_norm: 5.6265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9022 loss: 1.9022 2022/07/22 23:15:19 - mmengine - INFO - Epoch(train) [36][180/3757] lr: 1.0000e-02 eta: 15:51:37 time: 0.2294 data_time: 0.0327 memory: 6108 grad_norm: 5.6561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8276 loss: 1.8276 2022/07/22 23:15:24 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 1.0000e-02 eta: 15:51:32 time: 0.2327 data_time: 0.0202 memory: 6108 grad_norm: 5.6246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9503 loss: 1.9503 2022/07/22 23:15:29 - mmengine - INFO - Epoch(train) [36][220/3757] lr: 1.0000e-02 eta: 15:51:27 time: 0.2336 data_time: 0.0191 memory: 6108 grad_norm: 5.5352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9467 loss: 1.9467 2022/07/22 23:15:34 - mmengine - INFO - Epoch(train) [36][240/3757] lr: 1.0000e-02 eta: 15:51:24 time: 0.2635 data_time: 0.0216 memory: 6108 grad_norm: 5.7439 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7620 loss: 1.7620 2022/07/22 23:15:38 - mmengine - INFO - Epoch(train) [36][260/3757] lr: 1.0000e-02 eta: 15:51:19 time: 0.2261 data_time: 0.0272 memory: 6108 grad_norm: 5.4433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1862 loss: 2.1862 2022/07/22 23:15:43 - mmengine - INFO - Epoch(train) [36][280/3757] lr: 1.0000e-02 eta: 15:51:14 time: 0.2334 data_time: 0.0213 memory: 6108 grad_norm: 5.8055 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9724 loss: 1.9724 2022/07/22 23:15:48 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 1.0000e-02 eta: 15:51:09 time: 0.2250 data_time: 0.0237 memory: 6108 grad_norm: 5.7230 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2816 loss: 2.2816 2022/07/22 23:15:52 - mmengine - INFO - Epoch(train) [36][320/3757] lr: 1.0000e-02 eta: 15:51:04 time: 0.2309 data_time: 0.0183 memory: 6108 grad_norm: 5.6415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8792 loss: 1.8792 2022/07/22 23:15:57 - mmengine - INFO - Epoch(train) [36][340/3757] lr: 1.0000e-02 eta: 15:50:59 time: 0.2215 data_time: 0.0205 memory: 6108 grad_norm: 5.8300 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/07/22 23:16:01 - mmengine - INFO - Epoch(train) [36][360/3757] lr: 1.0000e-02 eta: 15:50:54 time: 0.2336 data_time: 0.0275 memory: 6108 grad_norm: 5.5047 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1634 loss: 2.1634 2022/07/22 23:16:06 - mmengine - INFO - Epoch(train) [36][380/3757] lr: 1.0000e-02 eta: 15:50:50 time: 0.2480 data_time: 0.0187 memory: 6108 grad_norm: 5.5254 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9249 loss: 1.9249 2022/07/22 23:16:11 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 1.0000e-02 eta: 15:50:46 time: 0.2453 data_time: 0.0203 memory: 6108 grad_norm: 5.6117 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/07/22 23:16:16 - mmengine - INFO - Epoch(train) [36][420/3757] lr: 1.0000e-02 eta: 15:50:41 time: 0.2288 data_time: 0.0271 memory: 6108 grad_norm: 5.6255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8606 loss: 1.8606 2022/07/22 23:16:21 - mmengine - INFO - Epoch(train) [36][440/3757] lr: 1.0000e-02 eta: 15:50:37 time: 0.2656 data_time: 0.0276 memory: 6108 grad_norm: 5.8752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1123 loss: 2.1123 2022/07/22 23:16:26 - mmengine - INFO - Epoch(train) [36][460/3757] lr: 1.0000e-02 eta: 15:50:32 time: 0.2184 data_time: 0.0173 memory: 6108 grad_norm: 5.6077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1507 loss: 2.1507 2022/07/22 23:16:30 - mmengine - INFO - Epoch(train) [36][480/3757] lr: 1.0000e-02 eta: 15:50:27 time: 0.2286 data_time: 0.0231 memory: 6108 grad_norm: 5.7997 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7513 loss: 1.7513 2022/07/22 23:16:35 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 1.0000e-02 eta: 15:50:23 time: 0.2498 data_time: 0.0215 memory: 6108 grad_norm: 5.7185 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9028 loss: 1.9028 2022/07/22 23:16:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:16:40 - mmengine - INFO - Epoch(train) [36][520/3757] lr: 1.0000e-02 eta: 15:50:18 time: 0.2258 data_time: 0.0193 memory: 6108 grad_norm: 5.6615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0607 loss: 2.0607 2022/07/22 23:16:45 - mmengine - INFO - Epoch(train) [36][540/3757] lr: 1.0000e-02 eta: 15:50:14 time: 0.2441 data_time: 0.0213 memory: 6108 grad_norm: 5.7490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8250 loss: 1.8250 2022/07/22 23:16:49 - mmengine - INFO - Epoch(train) [36][560/3757] lr: 1.0000e-02 eta: 15:50:10 time: 0.2478 data_time: 0.0167 memory: 6108 grad_norm: 5.7381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0086 loss: 2.0086 2022/07/22 23:16:54 - mmengine - INFO - Epoch(train) [36][580/3757] lr: 1.0000e-02 eta: 15:50:05 time: 0.2266 data_time: 0.0244 memory: 6108 grad_norm: 5.9164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9104 loss: 1.9104 2022/07/22 23:16:59 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 1.0000e-02 eta: 15:50:00 time: 0.2282 data_time: 0.0279 memory: 6108 grad_norm: 5.5296 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9382 loss: 1.9382 2022/07/22 23:17:04 - mmengine - INFO - Epoch(train) [36][620/3757] lr: 1.0000e-02 eta: 15:49:56 time: 0.2525 data_time: 0.0339 memory: 6108 grad_norm: 5.7494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9287 loss: 1.9287 2022/07/22 23:17:08 - mmengine - INFO - Epoch(train) [36][640/3757] lr: 1.0000e-02 eta: 15:49:51 time: 0.2330 data_time: 0.0243 memory: 6108 grad_norm: 5.6628 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9847 loss: 1.9847 2022/07/22 23:17:13 - mmengine - INFO - Epoch(train) [36][660/3757] lr: 1.0000e-02 eta: 15:49:46 time: 0.2300 data_time: 0.0324 memory: 6108 grad_norm: 5.7042 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9927 loss: 1.9927 2022/07/22 23:17:18 - mmengine - INFO - Epoch(train) [36][680/3757] lr: 1.0000e-02 eta: 15:49:42 time: 0.2395 data_time: 0.0209 memory: 6108 grad_norm: 5.6080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8041 loss: 1.8041 2022/07/22 23:17:23 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 1.0000e-02 eta: 15:49:37 time: 0.2367 data_time: 0.0239 memory: 6108 grad_norm: 5.7664 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/07/22 23:17:27 - mmengine - INFO - Epoch(train) [36][720/3757] lr: 1.0000e-02 eta: 15:49:32 time: 0.2281 data_time: 0.0260 memory: 6108 grad_norm: 5.6035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8934 loss: 1.8934 2022/07/22 23:17:32 - mmengine - INFO - Epoch(train) [36][740/3757] lr: 1.0000e-02 eta: 15:49:28 time: 0.2344 data_time: 0.0250 memory: 6108 grad_norm: 5.6925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7947 loss: 1.7947 2022/07/22 23:17:36 - mmengine - INFO - Epoch(train) [36][760/3757] lr: 1.0000e-02 eta: 15:49:23 time: 0.2259 data_time: 0.0219 memory: 6108 grad_norm: 5.7952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8741 loss: 1.8741 2022/07/22 23:17:41 - mmengine - INFO - Epoch(train) [36][780/3757] lr: 1.0000e-02 eta: 15:49:18 time: 0.2408 data_time: 0.0303 memory: 6108 grad_norm: 5.5295 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7983 loss: 1.7983 2022/07/22 23:17:46 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 1.0000e-02 eta: 15:49:13 time: 0.2262 data_time: 0.0239 memory: 6108 grad_norm: 5.5479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0367 loss: 2.0367 2022/07/22 23:17:51 - mmengine - INFO - Epoch(train) [36][820/3757] lr: 1.0000e-02 eta: 15:49:09 time: 0.2409 data_time: 0.0211 memory: 6108 grad_norm: 5.5533 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9022 loss: 1.9022 2022/07/22 23:17:55 - mmengine - INFO - Epoch(train) [36][840/3757] lr: 1.0000e-02 eta: 15:49:04 time: 0.2412 data_time: 0.0215 memory: 6108 grad_norm: 5.6889 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0687 loss: 2.0687 2022/07/22 23:18:00 - mmengine - INFO - Epoch(train) [36][860/3757] lr: 1.0000e-02 eta: 15:49:00 time: 0.2309 data_time: 0.0202 memory: 6108 grad_norm: 5.7456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7223 loss: 1.7223 2022/07/22 23:18:05 - mmengine - INFO - Epoch(train) [36][880/3757] lr: 1.0000e-02 eta: 15:48:56 time: 0.2550 data_time: 0.0176 memory: 6108 grad_norm: 5.6277 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0986 loss: 2.0986 2022/07/22 23:18:10 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 1.0000e-02 eta: 15:48:51 time: 0.2277 data_time: 0.0308 memory: 6108 grad_norm: 5.4066 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7136 loss: 1.7136 2022/07/22 23:18:15 - mmengine - INFO - Epoch(train) [36][920/3757] lr: 1.0000e-02 eta: 15:48:47 time: 0.2553 data_time: 0.0226 memory: 6108 grad_norm: 5.5608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8350 loss: 1.8350 2022/07/22 23:18:20 - mmengine - INFO - Epoch(train) [36][940/3757] lr: 1.0000e-02 eta: 15:48:42 time: 0.2391 data_time: 0.0216 memory: 6108 grad_norm: 5.5737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8803 loss: 1.8803 2022/07/22 23:18:24 - mmengine - INFO - Epoch(train) [36][960/3757] lr: 1.0000e-02 eta: 15:48:37 time: 0.2211 data_time: 0.0252 memory: 6108 grad_norm: 5.5832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6967 loss: 1.6967 2022/07/22 23:18:29 - mmengine - INFO - Epoch(train) [36][980/3757] lr: 1.0000e-02 eta: 15:48:32 time: 0.2255 data_time: 0.0250 memory: 6108 grad_norm: 5.7427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2347 loss: 2.2347 2022/07/22 23:18:33 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 1.0000e-02 eta: 15:48:28 time: 0.2442 data_time: 0.0372 memory: 6108 grad_norm: 5.8310 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2803 loss: 2.2803 2022/07/22 23:18:38 - mmengine - INFO - Epoch(train) [36][1020/3757] lr: 1.0000e-02 eta: 15:48:23 time: 0.2234 data_time: 0.0217 memory: 6108 grad_norm: 5.7805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0238 loss: 2.0238 2022/07/22 23:18:43 - mmengine - INFO - Epoch(train) [36][1040/3757] lr: 1.0000e-02 eta: 15:48:19 time: 0.2415 data_time: 0.0208 memory: 6108 grad_norm: 5.6094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0200 loss: 2.0200 2022/07/22 23:18:48 - mmengine - INFO - Epoch(train) [36][1060/3757] lr: 1.0000e-02 eta: 15:48:14 time: 0.2426 data_time: 0.0238 memory: 6108 grad_norm: 5.6078 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9063 loss: 1.9063 2022/07/22 23:18:52 - mmengine - INFO - Epoch(train) [36][1080/3757] lr: 1.0000e-02 eta: 15:48:10 time: 0.2356 data_time: 0.0200 memory: 6108 grad_norm: 5.7775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3591 loss: 2.3591 2022/07/22 23:18:57 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 1.0000e-02 eta: 15:48:05 time: 0.2448 data_time: 0.0201 memory: 6108 grad_norm: 5.4410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8489 loss: 1.8489 2022/07/22 23:19:02 - mmengine - INFO - Epoch(train) [36][1120/3757] lr: 1.0000e-02 eta: 15:48:01 time: 0.2565 data_time: 0.0241 memory: 6108 grad_norm: 5.5675 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8709 loss: 1.8709 2022/07/22 23:19:07 - mmengine - INFO - Epoch(train) [36][1140/3757] lr: 1.0000e-02 eta: 15:47:57 time: 0.2313 data_time: 0.0249 memory: 6108 grad_norm: 5.6527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0350 loss: 2.0350 2022/07/22 23:19:12 - mmengine - INFO - Epoch(train) [36][1160/3757] lr: 1.0000e-02 eta: 15:47:52 time: 0.2346 data_time: 0.0210 memory: 6108 grad_norm: 5.8426 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2129 loss: 2.2129 2022/07/22 23:19:16 - mmengine - INFO - Epoch(train) [36][1180/3757] lr: 1.0000e-02 eta: 15:47:47 time: 0.2273 data_time: 0.0250 memory: 6108 grad_norm: 5.8165 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1129 loss: 2.1129 2022/07/22 23:19:22 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 1.0000e-02 eta: 15:47:43 time: 0.2594 data_time: 0.0350 memory: 6108 grad_norm: 5.7432 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1594 loss: 2.1594 2022/07/22 23:19:26 - mmengine - INFO - Epoch(train) [36][1220/3757] lr: 1.0000e-02 eta: 15:47:38 time: 0.2228 data_time: 0.0213 memory: 6108 grad_norm: 5.8593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1182 loss: 2.1182 2022/07/22 23:19:31 - mmengine - INFO - Epoch(train) [36][1240/3757] lr: 1.0000e-02 eta: 15:47:33 time: 0.2255 data_time: 0.0220 memory: 6108 grad_norm: 5.6386 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0058 loss: 2.0058 2022/07/22 23:19:36 - mmengine - INFO - Epoch(train) [36][1260/3757] lr: 1.0000e-02 eta: 15:47:29 time: 0.2523 data_time: 0.0244 memory: 6108 grad_norm: 5.6751 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0048 loss: 2.0048 2022/07/22 23:19:40 - mmengine - INFO - Epoch(train) [36][1280/3757] lr: 1.0000e-02 eta: 15:47:24 time: 0.2288 data_time: 0.0272 memory: 6108 grad_norm: 5.6013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8950 loss: 1.8950 2022/07/22 23:19:45 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 1.0000e-02 eta: 15:47:20 time: 0.2492 data_time: 0.0216 memory: 6108 grad_norm: 5.5929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9626 loss: 1.9626 2022/07/22 23:19:50 - mmengine - INFO - Epoch(train) [36][1320/3757] lr: 1.0000e-02 eta: 15:47:15 time: 0.2241 data_time: 0.0256 memory: 6108 grad_norm: 5.6556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6317 loss: 1.6317 2022/07/22 23:19:54 - mmengine - INFO - Epoch(train) [36][1340/3757] lr: 1.0000e-02 eta: 15:47:10 time: 0.2235 data_time: 0.0202 memory: 6108 grad_norm: 5.7169 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9021 loss: 1.9021 2022/07/22 23:19:59 - mmengine - INFO - Epoch(train) [36][1360/3757] lr: 1.0000e-02 eta: 15:47:05 time: 0.2281 data_time: 0.0224 memory: 6108 grad_norm: 5.7364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9339 loss: 1.9339 2022/07/22 23:20:04 - mmengine - INFO - Epoch(train) [36][1380/3757] lr: 1.0000e-02 eta: 15:47:02 time: 0.2688 data_time: 0.0283 memory: 6108 grad_norm: 5.5770 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1778 loss: 2.1778 2022/07/22 23:20:09 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 1.0000e-02 eta: 15:46:57 time: 0.2231 data_time: 0.0193 memory: 6108 grad_norm: 5.6383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9378 loss: 1.9378 2022/07/22 23:20:13 - mmengine - INFO - Epoch(train) [36][1420/3757] lr: 1.0000e-02 eta: 15:46:52 time: 0.2364 data_time: 0.0225 memory: 6108 grad_norm: 5.6687 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9598 loss: 1.9598 2022/07/22 23:20:18 - mmengine - INFO - Epoch(train) [36][1440/3757] lr: 1.0000e-02 eta: 15:46:47 time: 0.2309 data_time: 0.0231 memory: 6108 grad_norm: 5.6446 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0800 loss: 2.0800 2022/07/22 23:20:23 - mmengine - INFO - Epoch(train) [36][1460/3757] lr: 1.0000e-02 eta: 15:46:43 time: 0.2298 data_time: 0.0196 memory: 6108 grad_norm: 5.7305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1117 loss: 2.1117 2022/07/22 23:20:27 - mmengine - INFO - Epoch(train) [36][1480/3757] lr: 1.0000e-02 eta: 15:46:38 time: 0.2342 data_time: 0.0229 memory: 6108 grad_norm: 5.6797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7179 loss: 1.7179 2022/07/22 23:20:32 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 1.0000e-02 eta: 15:46:34 time: 0.2468 data_time: 0.0247 memory: 6108 grad_norm: 5.5608 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9893 loss: 1.9893 2022/07/22 23:20:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:20:37 - mmengine - INFO - Epoch(train) [36][1520/3757] lr: 1.0000e-02 eta: 15:46:29 time: 0.2273 data_time: 0.0183 memory: 6108 grad_norm: 5.4271 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9740 loss: 1.9740 2022/07/22 23:20:41 - mmengine - INFO - Epoch(train) [36][1540/3757] lr: 1.0000e-02 eta: 15:46:24 time: 0.2241 data_time: 0.0215 memory: 6108 grad_norm: 5.6873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9573 loss: 1.9573 2022/07/22 23:20:46 - mmengine - INFO - Epoch(train) [36][1560/3757] lr: 1.0000e-02 eta: 15:46:19 time: 0.2249 data_time: 0.0213 memory: 6108 grad_norm: 5.7610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9242 loss: 1.9242 2022/07/22 23:20:50 - mmengine - INFO - Epoch(train) [36][1580/3757] lr: 1.0000e-02 eta: 15:46:14 time: 0.2218 data_time: 0.0207 memory: 6108 grad_norm: 5.6909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9847 loss: 1.9847 2022/07/22 23:20:56 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 1.0000e-02 eta: 15:46:10 time: 0.2636 data_time: 0.0250 memory: 6108 grad_norm: 5.5137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6650 loss: 1.6650 2022/07/22 23:21:00 - mmengine - INFO - Epoch(train) [36][1620/3757] lr: 1.0000e-02 eta: 15:46:05 time: 0.2288 data_time: 0.0248 memory: 6108 grad_norm: 5.7418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9888 loss: 1.9888 2022/07/22 23:21:05 - mmengine - INFO - Epoch(train) [36][1640/3757] lr: 1.0000e-02 eta: 15:46:01 time: 0.2382 data_time: 0.0194 memory: 6108 grad_norm: 5.6498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7750 loss: 1.7750 2022/07/22 23:21:10 - mmengine - INFO - Epoch(train) [36][1660/3757] lr: 1.0000e-02 eta: 15:45:56 time: 0.2310 data_time: 0.0199 memory: 6108 grad_norm: 5.7338 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7242 loss: 1.7242 2022/07/22 23:21:14 - mmengine - INFO - Epoch(train) [36][1680/3757] lr: 1.0000e-02 eta: 15:45:51 time: 0.2338 data_time: 0.0214 memory: 6108 grad_norm: 5.7036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9587 loss: 1.9587 2022/07/22 23:21:19 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 1.0000e-02 eta: 15:45:46 time: 0.2265 data_time: 0.0264 memory: 6108 grad_norm: 5.9503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0425 loss: 2.0425 2022/07/22 23:21:24 - mmengine - INFO - Epoch(train) [36][1720/3757] lr: 1.0000e-02 eta: 15:45:42 time: 0.2364 data_time: 0.0188 memory: 6108 grad_norm: 5.8621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/07/22 23:21:29 - mmengine - INFO - Epoch(train) [36][1740/3757] lr: 1.0000e-02 eta: 15:45:38 time: 0.2551 data_time: 0.0238 memory: 6108 grad_norm: 5.7944 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7269 loss: 1.7269 2022/07/22 23:21:33 - mmengine - INFO - Epoch(train) [36][1760/3757] lr: 1.0000e-02 eta: 15:45:33 time: 0.2319 data_time: 0.0226 memory: 6108 grad_norm: 5.6924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9806 loss: 1.9806 2022/07/22 23:21:38 - mmengine - INFO - Epoch(train) [36][1780/3757] lr: 1.0000e-02 eta: 15:45:28 time: 0.2253 data_time: 0.0196 memory: 6108 grad_norm: 5.6161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0735 loss: 2.0735 2022/07/22 23:21:43 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 1.0000e-02 eta: 15:45:23 time: 0.2400 data_time: 0.0221 memory: 6108 grad_norm: 5.6593 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7736 loss: 1.7736 2022/07/22 23:21:47 - mmengine - INFO - Epoch(train) [36][1820/3757] lr: 1.0000e-02 eta: 15:45:18 time: 0.2222 data_time: 0.0231 memory: 6108 grad_norm: 5.5278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8168 loss: 1.8168 2022/07/22 23:21:52 - mmengine - INFO - Epoch(train) [36][1840/3757] lr: 1.0000e-02 eta: 15:45:13 time: 0.2234 data_time: 0.0250 memory: 6108 grad_norm: 5.5862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0175 loss: 2.0175 2022/07/22 23:21:56 - mmengine - INFO - Epoch(train) [36][1860/3757] lr: 1.0000e-02 eta: 15:45:08 time: 0.2294 data_time: 0.0280 memory: 6108 grad_norm: 5.6030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7325 loss: 1.7325 2022/07/22 23:22:02 - mmengine - INFO - Epoch(train) [36][1880/3757] lr: 1.0000e-02 eta: 15:45:05 time: 0.2770 data_time: 0.0197 memory: 6108 grad_norm: 5.6177 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0889 loss: 2.0889 2022/07/22 23:22:06 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 1.0000e-02 eta: 15:45:00 time: 0.2181 data_time: 0.0236 memory: 6108 grad_norm: 5.6300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1933 loss: 2.1933 2022/07/22 23:22:11 - mmengine - INFO - Epoch(train) [36][1920/3757] lr: 1.0000e-02 eta: 15:44:56 time: 0.2450 data_time: 0.0170 memory: 6108 grad_norm: 5.5678 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1582 loss: 2.1582 2022/07/22 23:22:16 - mmengine - INFO - Epoch(train) [36][1940/3757] lr: 1.0000e-02 eta: 15:44:51 time: 0.2279 data_time: 0.0243 memory: 6108 grad_norm: 5.7370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8476 loss: 1.8476 2022/07/22 23:22:20 - mmengine - INFO - Epoch(train) [36][1960/3757] lr: 1.0000e-02 eta: 15:44:46 time: 0.2352 data_time: 0.0209 memory: 6108 grad_norm: 5.7204 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1479 loss: 2.1479 2022/07/22 23:22:25 - mmengine - INFO - Epoch(train) [36][1980/3757] lr: 1.0000e-02 eta: 15:44:41 time: 0.2231 data_time: 0.0190 memory: 6108 grad_norm: 5.6133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8239 loss: 1.8239 2022/07/22 23:22:29 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 1.0000e-02 eta: 15:44:36 time: 0.2273 data_time: 0.0207 memory: 6108 grad_norm: 5.4969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/07/22 23:22:34 - mmengine - INFO - Epoch(train) [36][2020/3757] lr: 1.0000e-02 eta: 15:44:32 time: 0.2531 data_time: 0.0243 memory: 6108 grad_norm: 5.6284 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7026 loss: 1.7026 2022/07/22 23:22:39 - mmengine - INFO - Epoch(train) [36][2040/3757] lr: 1.0000e-02 eta: 15:44:27 time: 0.2272 data_time: 0.0205 memory: 6108 grad_norm: 5.7766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9067 loss: 1.9067 2022/07/22 23:22:44 - mmengine - INFO - Epoch(train) [36][2060/3757] lr: 1.0000e-02 eta: 15:44:23 time: 0.2365 data_time: 0.0165 memory: 6108 grad_norm: 5.6442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8638 loss: 1.8638 2022/07/22 23:22:48 - mmengine - INFO - Epoch(train) [36][2080/3757] lr: 1.0000e-02 eta: 15:44:18 time: 0.2275 data_time: 0.0197 memory: 6108 grad_norm: 5.5908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0770 loss: 2.0770 2022/07/22 23:22:53 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 1.0000e-02 eta: 15:44:14 time: 0.2499 data_time: 0.0242 memory: 6108 grad_norm: 5.7305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8968 loss: 1.8968 2022/07/22 23:22:58 - mmengine - INFO - Epoch(train) [36][2120/3757] lr: 1.0000e-02 eta: 15:44:09 time: 0.2269 data_time: 0.0226 memory: 6108 grad_norm: 5.6489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0252 loss: 2.0252 2022/07/22 23:23:02 - mmengine - INFO - Epoch(train) [36][2140/3757] lr: 1.0000e-02 eta: 15:44:04 time: 0.2296 data_time: 0.0223 memory: 6108 grad_norm: 5.5358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9234 loss: 1.9234 2022/07/22 23:23:07 - mmengine - INFO - Epoch(train) [36][2160/3757] lr: 1.0000e-02 eta: 15:44:00 time: 0.2508 data_time: 0.0207 memory: 6108 grad_norm: 5.7385 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3694 loss: 2.3694 2022/07/22 23:23:12 - mmengine - INFO - Epoch(train) [36][2180/3757] lr: 1.0000e-02 eta: 15:43:56 time: 0.2452 data_time: 0.0232 memory: 6108 grad_norm: 5.8232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0805 loss: 2.0805 2022/07/22 23:23:17 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 1.0000e-02 eta: 15:43:51 time: 0.2304 data_time: 0.0204 memory: 6108 grad_norm: 5.8034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9887 loss: 1.9887 2022/07/22 23:23:21 - mmengine - INFO - Epoch(train) [36][2220/3757] lr: 1.0000e-02 eta: 15:43:46 time: 0.2216 data_time: 0.0233 memory: 6108 grad_norm: 5.5595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1983 loss: 2.1983 2022/07/22 23:23:26 - mmengine - INFO - Epoch(train) [36][2240/3757] lr: 1.0000e-02 eta: 15:43:41 time: 0.2236 data_time: 0.0219 memory: 6108 grad_norm: 5.7301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2417 loss: 2.2417 2022/07/22 23:23:31 - mmengine - INFO - Epoch(train) [36][2260/3757] lr: 1.0000e-02 eta: 15:43:37 time: 0.2628 data_time: 0.0385 memory: 6108 grad_norm: 5.6339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7669 loss: 1.7669 2022/07/22 23:23:36 - mmengine - INFO - Epoch(train) [36][2280/3757] lr: 1.0000e-02 eta: 15:43:32 time: 0.2358 data_time: 0.0190 memory: 6108 grad_norm: 5.7199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8470 loss: 1.8470 2022/07/22 23:23:40 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 1.0000e-02 eta: 15:43:27 time: 0.2235 data_time: 0.0216 memory: 6108 grad_norm: 5.7652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0914 loss: 2.0914 2022/07/22 23:23:45 - mmengine - INFO - Epoch(train) [36][2320/3757] lr: 1.0000e-02 eta: 15:43:22 time: 0.2269 data_time: 0.0270 memory: 6108 grad_norm: 5.6841 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0185 loss: 2.0185 2022/07/22 23:23:50 - mmengine - INFO - Epoch(train) [36][2340/3757] lr: 1.0000e-02 eta: 15:43:18 time: 0.2413 data_time: 0.0240 memory: 6108 grad_norm: 5.8405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1381 loss: 2.1381 2022/07/22 23:23:55 - mmengine - INFO - Epoch(train) [36][2360/3757] lr: 1.0000e-02 eta: 15:43:14 time: 0.2432 data_time: 0.0210 memory: 6108 grad_norm: 5.8048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4155 loss: 2.4155 2022/07/22 23:23:59 - mmengine - INFO - Epoch(train) [36][2380/3757] lr: 1.0000e-02 eta: 15:43:09 time: 0.2353 data_time: 0.0281 memory: 6108 grad_norm: 5.6765 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0700 loss: 2.0700 2022/07/22 23:24:04 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 1.0000e-02 eta: 15:43:04 time: 0.2269 data_time: 0.0177 memory: 6108 grad_norm: 5.6622 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1710 loss: 2.1710 2022/07/22 23:24:08 - mmengine - INFO - Epoch(train) [36][2420/3757] lr: 1.0000e-02 eta: 15:42:59 time: 0.2202 data_time: 0.0215 memory: 6108 grad_norm: 5.6266 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8602 loss: 1.8602 2022/07/22 23:24:13 - mmengine - INFO - Epoch(train) [36][2440/3757] lr: 1.0000e-02 eta: 15:42:54 time: 0.2409 data_time: 0.0264 memory: 6108 grad_norm: 5.7773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1617 loss: 2.1617 2022/07/22 23:24:18 - mmengine - INFO - Epoch(train) [36][2460/3757] lr: 1.0000e-02 eta: 15:42:49 time: 0.2265 data_time: 0.0220 memory: 6108 grad_norm: 5.5955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9614 loss: 1.9614 2022/07/22 23:24:22 - mmengine - INFO - Epoch(train) [36][2480/3757] lr: 1.0000e-02 eta: 15:42:45 time: 0.2289 data_time: 0.0193 memory: 6108 grad_norm: 5.6493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8597 loss: 1.8597 2022/07/22 23:24:27 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 1.0000e-02 eta: 15:42:40 time: 0.2275 data_time: 0.0225 memory: 6108 grad_norm: 5.6624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8589 loss: 1.8589 2022/07/22 23:24:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:24:32 - mmengine - INFO - Epoch(train) [36][2520/3757] lr: 1.0000e-02 eta: 15:42:35 time: 0.2499 data_time: 0.0212 memory: 6108 grad_norm: 5.7293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7080 loss: 1.7080 2022/07/22 23:24:36 - mmengine - INFO - Epoch(train) [36][2540/3757] lr: 1.0000e-02 eta: 15:42:30 time: 0.2231 data_time: 0.0205 memory: 6108 grad_norm: 5.8826 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8834 loss: 1.8834 2022/07/22 23:24:41 - mmengine - INFO - Epoch(train) [36][2560/3757] lr: 1.0000e-02 eta: 15:42:25 time: 0.2245 data_time: 0.0235 memory: 6108 grad_norm: 5.8524 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3019 loss: 2.3019 2022/07/22 23:24:46 - mmengine - INFO - Epoch(train) [36][2580/3757] lr: 1.0000e-02 eta: 15:42:21 time: 0.2311 data_time: 0.0309 memory: 6108 grad_norm: 5.8530 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2501 loss: 2.2501 2022/07/22 23:24:50 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 1.0000e-02 eta: 15:42:16 time: 0.2365 data_time: 0.0342 memory: 6108 grad_norm: 5.6260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9457 loss: 1.9457 2022/07/22 23:24:55 - mmengine - INFO - Epoch(train) [36][2620/3757] lr: 1.0000e-02 eta: 15:42:12 time: 0.2431 data_time: 0.0266 memory: 6108 grad_norm: 5.9374 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1590 loss: 2.1590 2022/07/22 23:25:00 - mmengine - INFO - Epoch(train) [36][2640/3757] lr: 1.0000e-02 eta: 15:42:07 time: 0.2261 data_time: 0.0172 memory: 6108 grad_norm: 5.6799 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2221 loss: 2.2221 2022/07/22 23:25:04 - mmengine - INFO - Epoch(train) [36][2660/3757] lr: 1.0000e-02 eta: 15:42:02 time: 0.2238 data_time: 0.0203 memory: 6108 grad_norm: 5.6678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9631 loss: 1.9631 2022/07/22 23:25:09 - mmengine - INFO - Epoch(train) [36][2680/3757] lr: 1.0000e-02 eta: 15:41:57 time: 0.2270 data_time: 0.0268 memory: 6108 grad_norm: 5.5413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0174 loss: 2.0174 2022/07/22 23:25:14 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 1.0000e-02 eta: 15:41:53 time: 0.2466 data_time: 0.0216 memory: 6108 grad_norm: 5.7531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0773 loss: 2.0773 2022/07/22 23:25:18 - mmengine - INFO - Epoch(train) [36][2720/3757] lr: 1.0000e-02 eta: 15:41:48 time: 0.2320 data_time: 0.0160 memory: 6108 grad_norm: 5.5665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7901 loss: 1.7901 2022/07/22 23:25:24 - mmengine - INFO - Epoch(train) [36][2740/3757] lr: 1.0000e-02 eta: 15:41:44 time: 0.2605 data_time: 0.0220 memory: 6108 grad_norm: 5.5506 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6934 loss: 1.6934 2022/07/22 23:25:28 - mmengine - INFO - Epoch(train) [36][2760/3757] lr: 1.0000e-02 eta: 15:41:39 time: 0.2265 data_time: 0.0232 memory: 6108 grad_norm: 5.6851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9042 loss: 1.9042 2022/07/22 23:25:33 - mmengine - INFO - Epoch(train) [36][2780/3757] lr: 1.0000e-02 eta: 15:41:34 time: 0.2258 data_time: 0.0223 memory: 6108 grad_norm: 5.7207 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0196 loss: 2.0196 2022/07/22 23:25:38 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 1.0000e-02 eta: 15:41:30 time: 0.2530 data_time: 0.0225 memory: 6108 grad_norm: 5.7366 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0657 loss: 2.0657 2022/07/22 23:25:43 - mmengine - INFO - Epoch(train) [36][2820/3757] lr: 1.0000e-02 eta: 15:41:26 time: 0.2581 data_time: 0.0203 memory: 6108 grad_norm: 5.4632 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0035 loss: 2.0035 2022/07/22 23:25:47 - mmengine - INFO - Epoch(train) [36][2840/3757] lr: 1.0000e-02 eta: 15:41:21 time: 0.2240 data_time: 0.0182 memory: 6108 grad_norm: 5.5542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8822 loss: 1.8822 2022/07/22 23:25:52 - mmengine - INFO - Epoch(train) [36][2860/3757] lr: 1.0000e-02 eta: 15:41:16 time: 0.2298 data_time: 0.0209 memory: 6108 grad_norm: 5.7457 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0030 loss: 2.0030 2022/07/22 23:25:56 - mmengine - INFO - Epoch(train) [36][2880/3757] lr: 1.0000e-02 eta: 15:41:11 time: 0.2225 data_time: 0.0253 memory: 6108 grad_norm: 5.7772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9818 loss: 1.9818 2022/07/22 23:26:01 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 1.0000e-02 eta: 15:41:07 time: 0.2447 data_time: 0.0227 memory: 6108 grad_norm: 5.7628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9371 loss: 1.9371 2022/07/22 23:26:06 - mmengine - INFO - Epoch(train) [36][2920/3757] lr: 1.0000e-02 eta: 15:41:02 time: 0.2269 data_time: 0.0340 memory: 6108 grad_norm: 5.7152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2411 loss: 2.2411 2022/07/22 23:26:10 - mmengine - INFO - Epoch(train) [36][2940/3757] lr: 1.0000e-02 eta: 15:40:57 time: 0.2269 data_time: 0.0237 memory: 6108 grad_norm: 5.6071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0624 loss: 2.0624 2022/07/22 23:26:15 - mmengine - INFO - Epoch(train) [36][2960/3757] lr: 1.0000e-02 eta: 15:40:52 time: 0.2312 data_time: 0.0208 memory: 6108 grad_norm: 5.7650 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0031 loss: 2.0031 2022/07/22 23:26:20 - mmengine - INFO - Epoch(train) [36][2980/3757] lr: 1.0000e-02 eta: 15:40:47 time: 0.2230 data_time: 0.0215 memory: 6108 grad_norm: 5.7536 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2013 loss: 2.2013 2022/07/22 23:26:24 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 1.0000e-02 eta: 15:40:43 time: 0.2454 data_time: 0.0211 memory: 6108 grad_norm: 5.5752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0406 loss: 2.0406 2022/07/22 23:26:29 - mmengine - INFO - Epoch(train) [36][3020/3757] lr: 1.0000e-02 eta: 15:40:38 time: 0.2251 data_time: 0.0228 memory: 6108 grad_norm: 5.6146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9389 loss: 1.9389 2022/07/22 23:26:34 - mmengine - INFO - Epoch(train) [36][3040/3757] lr: 1.0000e-02 eta: 15:40:33 time: 0.2321 data_time: 0.0253 memory: 6108 grad_norm: 5.5156 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9340 loss: 1.9340 2022/07/22 23:26:38 - mmengine - INFO - Epoch(train) [36][3060/3757] lr: 1.0000e-02 eta: 15:40:29 time: 0.2414 data_time: 0.0219 memory: 6108 grad_norm: 5.4775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/07/22 23:26:43 - mmengine - INFO - Epoch(train) [36][3080/3757] lr: 1.0000e-02 eta: 15:40:24 time: 0.2244 data_time: 0.0217 memory: 6108 grad_norm: 5.6813 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1829 loss: 2.1829 2022/07/22 23:26:48 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 1.0000e-02 eta: 15:40:19 time: 0.2367 data_time: 0.0209 memory: 6108 grad_norm: 5.7168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9895 loss: 1.9895 2022/07/22 23:26:53 - mmengine - INFO - Epoch(train) [36][3120/3757] lr: 1.0000e-02 eta: 15:40:16 time: 0.2628 data_time: 0.0181 memory: 6108 grad_norm: 5.6455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9322 loss: 1.9322 2022/07/22 23:26:57 - mmengine - INFO - Epoch(train) [36][3140/3757] lr: 1.0000e-02 eta: 15:40:10 time: 0.2188 data_time: 0.0236 memory: 6108 grad_norm: 5.9049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0363 loss: 2.0363 2022/07/22 23:27:02 - mmengine - INFO - Epoch(train) [36][3160/3757] lr: 1.0000e-02 eta: 15:40:06 time: 0.2286 data_time: 0.0215 memory: 6108 grad_norm: 5.7916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9796 loss: 1.9796 2022/07/22 23:27:07 - mmengine - INFO - Epoch(train) [36][3180/3757] lr: 1.0000e-02 eta: 15:40:01 time: 0.2266 data_time: 0.0226 memory: 6108 grad_norm: 5.7785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4509 loss: 2.4509 2022/07/22 23:27:12 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 1.0000e-02 eta: 15:39:57 time: 0.2662 data_time: 0.0290 memory: 6108 grad_norm: 5.7902 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1040 loss: 2.1040 2022/07/22 23:27:16 - mmengine - INFO - Epoch(train) [36][3220/3757] lr: 1.0000e-02 eta: 15:39:52 time: 0.2201 data_time: 0.0184 memory: 6108 grad_norm: 5.7444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2120 loss: 2.2120 2022/07/22 23:27:21 - mmengine - INFO - Epoch(train) [36][3240/3757] lr: 1.0000e-02 eta: 15:39:47 time: 0.2242 data_time: 0.0235 memory: 6108 grad_norm: 5.6948 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2885 loss: 2.2885 2022/07/22 23:27:26 - mmengine - INFO - Epoch(train) [36][3260/3757] lr: 1.0000e-02 eta: 15:39:42 time: 0.2420 data_time: 0.0259 memory: 6108 grad_norm: 5.7847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2602 loss: 2.2602 2022/07/22 23:27:30 - mmengine - INFO - Epoch(train) [36][3280/3757] lr: 1.0000e-02 eta: 15:39:37 time: 0.2267 data_time: 0.0200 memory: 6108 grad_norm: 5.4765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7205 loss: 1.7205 2022/07/22 23:27:35 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 1.0000e-02 eta: 15:39:33 time: 0.2389 data_time: 0.0157 memory: 6108 grad_norm: 5.9239 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0334 loss: 2.0334 2022/07/22 23:27:40 - mmengine - INFO - Epoch(train) [36][3320/3757] lr: 1.0000e-02 eta: 15:39:28 time: 0.2265 data_time: 0.0291 memory: 6108 grad_norm: 5.8524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9881 loss: 1.9881 2022/07/22 23:27:45 - mmengine - INFO - Epoch(train) [36][3340/3757] lr: 1.0000e-02 eta: 15:39:24 time: 0.2613 data_time: 0.0192 memory: 6108 grad_norm: 5.4597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7180 loss: 1.7180 2022/07/22 23:27:49 - mmengine - INFO - Epoch(train) [36][3360/3757] lr: 1.0000e-02 eta: 15:39:19 time: 0.2233 data_time: 0.0194 memory: 6108 grad_norm: 5.5504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8854 loss: 1.8854 2022/07/22 23:27:54 - mmengine - INFO - Epoch(train) [36][3380/3757] lr: 1.0000e-02 eta: 15:39:15 time: 0.2508 data_time: 0.0296 memory: 6108 grad_norm: 5.9701 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2405 loss: 2.2405 2022/07/22 23:27:59 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 1.0000e-02 eta: 15:39:10 time: 0.2287 data_time: 0.0193 memory: 6108 grad_norm: 5.8280 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1472 loss: 2.1472 2022/07/22 23:28:04 - mmengine - INFO - Epoch(train) [36][3420/3757] lr: 1.0000e-02 eta: 15:39:06 time: 0.2395 data_time: 0.0206 memory: 6108 grad_norm: 5.9085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0285 loss: 2.0285 2022/07/22 23:28:09 - mmengine - INFO - Epoch(train) [36][3440/3757] lr: 1.0000e-02 eta: 15:39:02 time: 0.2528 data_time: 0.0258 memory: 6108 grad_norm: 5.7136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1171 loss: 2.1171 2022/07/22 23:28:13 - mmengine - INFO - Epoch(train) [36][3460/3757] lr: 1.0000e-02 eta: 15:38:57 time: 0.2313 data_time: 0.0187 memory: 6108 grad_norm: 5.7658 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0015 loss: 2.0015 2022/07/22 23:28:18 - mmengine - INFO - Epoch(train) [36][3480/3757] lr: 1.0000e-02 eta: 15:38:52 time: 0.2297 data_time: 0.0243 memory: 6108 grad_norm: 5.5619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7272 loss: 1.7272 2022/07/22 23:28:24 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 1.0000e-02 eta: 15:38:49 time: 0.2799 data_time: 0.0214 memory: 6108 grad_norm: 5.5290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9580 loss: 1.9580 2022/07/22 23:28:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:28:28 - mmengine - INFO - Epoch(train) [36][3520/3757] lr: 1.0000e-02 eta: 15:38:44 time: 0.2240 data_time: 0.0218 memory: 6108 grad_norm: 5.8894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0930 loss: 2.0930 2022/07/22 23:28:33 - mmengine - INFO - Epoch(train) [36][3540/3757] lr: 1.0000e-02 eta: 15:38:40 time: 0.2430 data_time: 0.0214 memory: 6108 grad_norm: 6.1289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1519 loss: 2.1519 2022/07/22 23:28:37 - mmengine - INFO - Epoch(train) [36][3560/3757] lr: 1.0000e-02 eta: 15:38:35 time: 0.2205 data_time: 0.0234 memory: 6108 grad_norm: 5.7414 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4263 loss: 1.4263 2022/07/22 23:28:42 - mmengine - INFO - Epoch(train) [36][3580/3757] lr: 1.0000e-02 eta: 15:38:30 time: 0.2476 data_time: 0.0320 memory: 6108 grad_norm: 5.6974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8702 loss: 1.8702 2022/07/22 23:28:47 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 1.0000e-02 eta: 15:38:25 time: 0.2242 data_time: 0.0218 memory: 6108 grad_norm: 5.6017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9358 loss: 1.9358 2022/07/22 23:28:51 - mmengine - INFO - Epoch(train) [36][3620/3757] lr: 1.0000e-02 eta: 15:38:20 time: 0.2228 data_time: 0.0191 memory: 6108 grad_norm: 5.4984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9967 loss: 1.9967 2022/07/22 23:28:56 - mmengine - INFO - Epoch(train) [36][3640/3757] lr: 1.0000e-02 eta: 15:38:15 time: 0.2271 data_time: 0.0224 memory: 6108 grad_norm: 5.6513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0906 loss: 2.0906 2022/07/22 23:29:01 - mmengine - INFO - Epoch(train) [36][3660/3757] lr: 1.0000e-02 eta: 15:38:11 time: 0.2427 data_time: 0.0223 memory: 6108 grad_norm: 5.7565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1176 loss: 2.1176 2022/07/22 23:29:06 - mmengine - INFO - Epoch(train) [36][3680/3757] lr: 1.0000e-02 eta: 15:38:08 time: 0.2729 data_time: 0.0212 memory: 6108 grad_norm: 5.5582 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9307 loss: 1.9307 2022/07/22 23:29:11 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 1.0000e-02 eta: 15:38:03 time: 0.2261 data_time: 0.0254 memory: 6108 grad_norm: 5.7261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0657 loss: 2.0657 2022/07/22 23:29:15 - mmengine - INFO - Epoch(train) [36][3720/3757] lr: 1.0000e-02 eta: 15:37:58 time: 0.2297 data_time: 0.0221 memory: 6108 grad_norm: 5.8110 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0289 loss: 2.0289 2022/07/22 23:29:20 - mmengine - INFO - Epoch(train) [36][3740/3757] lr: 1.0000e-02 eta: 15:37:53 time: 0.2271 data_time: 0.0212 memory: 6108 grad_norm: 5.9581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9573 loss: 1.9573 2022/07/22 23:29:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:29:24 - mmengine - INFO - Epoch(train) [36][3757/3757] lr: 1.0000e-02 eta: 15:37:53 time: 0.2366 data_time: 0.0178 memory: 6108 grad_norm: 5.7724 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3831 loss: 2.3831 2022/07/22 23:29:30 - mmengine - INFO - Epoch(val) [36][20/310] eta: 0:01:21 time: 0.2816 data_time: 0.2026 memory: 1428 2022/07/22 23:29:33 - mmengine - INFO - Epoch(val) [36][40/310] eta: 0:00:49 time: 0.1818 data_time: 0.1034 memory: 1428 2022/07/22 23:29:38 - mmengine - INFO - Epoch(val) [36][60/310] eta: 0:00:55 time: 0.2233 data_time: 0.1480 memory: 1428 2022/07/22 23:29:43 - mmengine - INFO - Epoch(val) [36][80/310] eta: 0:00:54 time: 0.2373 data_time: 0.1323 memory: 1428 2022/07/22 23:29:47 - mmengine - INFO - Epoch(val) [36][100/310] eta: 0:00:42 time: 0.2023 data_time: 0.1252 memory: 1428 2022/07/22 23:29:50 - mmengine - INFO - Epoch(val) [36][120/310] eta: 0:00:34 time: 0.1826 data_time: 0.1081 memory: 1428 2022/07/22 23:29:55 - mmengine - INFO - Epoch(val) [36][140/310] eta: 0:00:44 time: 0.2622 data_time: 0.1856 memory: 1428 2022/07/22 23:29:59 - mmengine - INFO - Epoch(val) [36][160/310] eta: 0:00:27 time: 0.1823 data_time: 0.1082 memory: 1428 2022/07/22 23:30:04 - mmengine - INFO - Epoch(val) [36][180/310] eta: 0:00:31 time: 0.2399 data_time: 0.1631 memory: 1428 2022/07/22 23:30:08 - mmengine - INFO - Epoch(val) [36][200/310] eta: 0:00:19 time: 0.1796 data_time: 0.1065 memory: 1428 2022/07/22 23:30:12 - mmengine - INFO - Epoch(val) [36][220/310] eta: 0:00:21 time: 0.2425 data_time: 0.1687 memory: 1428 2022/07/22 23:30:16 - mmengine - INFO - Epoch(val) [36][240/310] eta: 0:00:13 time: 0.1895 data_time: 0.1145 memory: 1428 2022/07/22 23:30:21 - mmengine - INFO - Epoch(val) [36][260/310] eta: 0:00:12 time: 0.2507 data_time: 0.1740 memory: 1428 2022/07/22 23:30:25 - mmengine - INFO - Epoch(val) [36][280/310] eta: 0:00:05 time: 0.1839 data_time: 0.0836 memory: 1428 2022/07/22 23:30:29 - mmengine - INFO - Epoch(val) [36][300/310] eta: 0:00:02 time: 0.2093 data_time: 0.1381 memory: 1428 2022/07/22 23:30:33 - mmengine - INFO - Epoch(val) [36][310/310] acc/top1: 0.5613 acc/top5: 0.8054 acc/mean1: 0.5611 2022/07/22 23:30:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_36.pth is removed 2022/07/22 23:30:36 - mmengine - INFO - The best checkpoint with 0.5613 acc/top1 at 37 epoch is saved to best_acc/top1_epoch_37.pth. 2022/07/22 23:30:42 - mmengine - INFO - Epoch(train) [37][20/3757] lr: 1.0000e-02 eta: 15:37:39 time: 0.2846 data_time: 0.0742 memory: 6108 grad_norm: 5.5049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3341 loss: 2.3341 2022/07/22 23:30:47 - mmengine - INFO - Epoch(train) [37][40/3757] lr: 1.0000e-02 eta: 15:37:34 time: 0.2287 data_time: 0.0205 memory: 6108 grad_norm: 5.3817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8847 loss: 1.8847 2022/07/22 23:30:51 - mmengine - INFO - Epoch(train) [37][60/3757] lr: 1.0000e-02 eta: 15:37:29 time: 0.2255 data_time: 0.0191 memory: 6108 grad_norm: 5.6301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0304 loss: 2.0304 2022/07/22 23:30:56 - mmengine - INFO - Epoch(train) [37][80/3757] lr: 1.0000e-02 eta: 15:37:25 time: 0.2451 data_time: 0.0237 memory: 6108 grad_norm: 5.7356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8941 loss: 1.8941 2022/07/22 23:31:01 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 1.0000e-02 eta: 15:37:20 time: 0.2290 data_time: 0.0172 memory: 6108 grad_norm: 5.6864 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6331 loss: 1.6331 2022/07/22 23:31:05 - mmengine - INFO - Epoch(train) [37][120/3757] lr: 1.0000e-02 eta: 15:37:15 time: 0.2257 data_time: 0.0254 memory: 6108 grad_norm: 5.6398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9013 loss: 1.9013 2022/07/22 23:31:10 - mmengine - INFO - Epoch(train) [37][140/3757] lr: 1.0000e-02 eta: 15:37:10 time: 0.2294 data_time: 0.0228 memory: 6108 grad_norm: 5.8270 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0334 loss: 2.0334 2022/07/22 23:31:15 - mmengine - INFO - Epoch(train) [37][160/3757] lr: 1.0000e-02 eta: 15:37:06 time: 0.2445 data_time: 0.0246 memory: 6108 grad_norm: 5.6811 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9569 loss: 1.9569 2022/07/22 23:31:19 - mmengine - INFO - Epoch(train) [37][180/3757] lr: 1.0000e-02 eta: 15:37:01 time: 0.2289 data_time: 0.0228 memory: 6108 grad_norm: 5.7077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2819 loss: 2.2819 2022/07/22 23:31:24 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 1.0000e-02 eta: 15:36:56 time: 0.2270 data_time: 0.0176 memory: 6108 grad_norm: 5.6458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9049 loss: 1.9049 2022/07/22 23:31:29 - mmengine - INFO - Epoch(train) [37][220/3757] lr: 1.0000e-02 eta: 15:36:51 time: 0.2259 data_time: 0.0219 memory: 6108 grad_norm: 5.6491 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6178 loss: 1.6178 2022/07/22 23:31:33 - mmengine - INFO - Epoch(train) [37][240/3757] lr: 1.0000e-02 eta: 15:36:47 time: 0.2462 data_time: 0.0318 memory: 6108 grad_norm: 5.7020 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9461 loss: 1.9461 2022/07/22 23:31:38 - mmengine - INFO - Epoch(train) [37][260/3757] lr: 1.0000e-02 eta: 15:36:42 time: 0.2223 data_time: 0.0171 memory: 6108 grad_norm: 5.6515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0917 loss: 2.0917 2022/07/22 23:31:43 - mmengine - INFO - Epoch(train) [37][280/3757] lr: 1.0000e-02 eta: 15:36:37 time: 0.2374 data_time: 0.0215 memory: 6108 grad_norm: 5.7477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0792 loss: 2.0792 2022/07/22 23:31:47 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 1.0000e-02 eta: 15:36:32 time: 0.2294 data_time: 0.0238 memory: 6108 grad_norm: 5.7650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2211 loss: 2.2211 2022/07/22 23:31:52 - mmengine - INFO - Epoch(train) [37][320/3757] lr: 1.0000e-02 eta: 15:36:29 time: 0.2564 data_time: 0.0253 memory: 6108 grad_norm: 5.7567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9355 loss: 1.9355 2022/07/22 23:31:57 - mmengine - INFO - Epoch(train) [37][340/3757] lr: 1.0000e-02 eta: 15:36:24 time: 0.2300 data_time: 0.0228 memory: 6108 grad_norm: 5.6588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1677 loss: 2.1677 2022/07/22 23:32:02 - mmengine - INFO - Epoch(train) [37][360/3757] lr: 1.0000e-02 eta: 15:36:19 time: 0.2285 data_time: 0.0210 memory: 6108 grad_norm: 5.6421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8466 loss: 1.8466 2022/07/22 23:32:06 - mmengine - INFO - Epoch(train) [37][380/3757] lr: 1.0000e-02 eta: 15:36:14 time: 0.2265 data_time: 0.0249 memory: 6108 grad_norm: 5.5672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8623 loss: 1.8623 2022/07/22 23:32:11 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 1.0000e-02 eta: 15:36:09 time: 0.2305 data_time: 0.0282 memory: 6108 grad_norm: 5.7697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2680 loss: 2.2680 2022/07/22 23:32:16 - mmengine - INFO - Epoch(train) [37][420/3757] lr: 1.0000e-02 eta: 15:36:05 time: 0.2471 data_time: 0.0230 memory: 6108 grad_norm: 5.6967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9575 loss: 1.9575 2022/07/22 23:32:20 - mmengine - INFO - Epoch(train) [37][440/3757] lr: 1.0000e-02 eta: 15:36:00 time: 0.2256 data_time: 0.0211 memory: 6108 grad_norm: 5.6265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/07/22 23:32:25 - mmengine - INFO - Epoch(train) [37][460/3757] lr: 1.0000e-02 eta: 15:35:55 time: 0.2298 data_time: 0.0204 memory: 6108 grad_norm: 5.8082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0134 loss: 2.0134 2022/07/22 23:32:29 - mmengine - INFO - Epoch(train) [37][480/3757] lr: 1.0000e-02 eta: 15:35:50 time: 0.2273 data_time: 0.0244 memory: 6108 grad_norm: 5.7026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1185 loss: 2.1185 2022/07/22 23:32:35 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 1.0000e-02 eta: 15:35:47 time: 0.2755 data_time: 0.0373 memory: 6108 grad_norm: 5.6286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0936 loss: 2.0936 2022/07/22 23:32:40 - mmengine - INFO - Epoch(train) [37][520/3757] lr: 1.0000e-02 eta: 15:35:42 time: 0.2288 data_time: 0.0242 memory: 6108 grad_norm: 5.6883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8942 loss: 1.8942 2022/07/22 23:32:44 - mmengine - INFO - Epoch(train) [37][540/3757] lr: 1.0000e-02 eta: 15:35:37 time: 0.2220 data_time: 0.0199 memory: 6108 grad_norm: 5.6353 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8285 loss: 1.8285 2022/07/22 23:32:48 - mmengine - INFO - Epoch(train) [37][560/3757] lr: 1.0000e-02 eta: 15:35:32 time: 0.2237 data_time: 0.0190 memory: 6108 grad_norm: 5.7661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0105 loss: 2.0105 2022/07/22 23:32:53 - mmengine - INFO - Epoch(train) [37][580/3757] lr: 1.0000e-02 eta: 15:35:28 time: 0.2412 data_time: 0.0248 memory: 6108 grad_norm: 5.7014 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1396 loss: 2.1396 2022/07/22 23:32:58 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 1.0000e-02 eta: 15:35:23 time: 0.2241 data_time: 0.0204 memory: 6108 grad_norm: 5.8029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0444 loss: 2.0444 2022/07/22 23:33:04 - mmengine - INFO - Epoch(train) [37][620/3757] lr: 1.0000e-02 eta: 15:35:20 time: 0.2832 data_time: 0.0234 memory: 6108 grad_norm: 5.7061 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6883 loss: 1.6883 2022/07/22 23:33:08 - mmengine - INFO - Epoch(train) [37][640/3757] lr: 1.0000e-02 eta: 15:35:15 time: 0.2315 data_time: 0.0218 memory: 6108 grad_norm: 5.5466 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8358 loss: 1.8358 2022/07/22 23:33:13 - mmengine - INFO - Epoch(train) [37][660/3757] lr: 1.0000e-02 eta: 15:35:10 time: 0.2238 data_time: 0.0203 memory: 6108 grad_norm: 5.6055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/07/22 23:33:17 - mmengine - INFO - Epoch(train) [37][680/3757] lr: 1.0000e-02 eta: 15:35:05 time: 0.2228 data_time: 0.0207 memory: 6108 grad_norm: 5.6899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8404 loss: 1.8404 2022/07/22 23:33:22 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 1.0000e-02 eta: 15:35:00 time: 0.2263 data_time: 0.0197 memory: 6108 grad_norm: 5.7911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8538 loss: 1.8538 2022/07/22 23:33:27 - mmengine - INFO - Epoch(train) [37][720/3757] lr: 1.0000e-02 eta: 15:34:56 time: 0.2564 data_time: 0.0294 memory: 6108 grad_norm: 5.7037 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9034 loss: 1.9034 2022/07/22 23:33:31 - mmengine - INFO - Epoch(train) [37][740/3757] lr: 1.0000e-02 eta: 15:34:51 time: 0.2299 data_time: 0.0257 memory: 6108 grad_norm: 5.9225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0073 loss: 2.0073 2022/07/22 23:33:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:33:36 - mmengine - INFO - Epoch(train) [37][760/3757] lr: 1.0000e-02 eta: 15:34:46 time: 0.2300 data_time: 0.0207 memory: 6108 grad_norm: 5.6657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8775 loss: 1.8775 2022/07/22 23:33:41 - mmengine - INFO - Epoch(train) [37][780/3757] lr: 1.0000e-02 eta: 15:34:41 time: 0.2327 data_time: 0.0209 memory: 6108 grad_norm: 5.5920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4712 loss: 1.4712 2022/07/22 23:33:45 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 1.0000e-02 eta: 15:34:37 time: 0.2272 data_time: 0.0211 memory: 6108 grad_norm: 5.8452 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9318 loss: 1.9318 2022/07/22 23:33:50 - mmengine - INFO - Epoch(train) [37][820/3757] lr: 1.0000e-02 eta: 15:34:32 time: 0.2310 data_time: 0.0232 memory: 6108 grad_norm: 5.7884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0913 loss: 2.0913 2022/07/22 23:33:55 - mmengine - INFO - Epoch(train) [37][840/3757] lr: 1.0000e-02 eta: 15:34:28 time: 0.2518 data_time: 0.0261 memory: 6108 grad_norm: 5.8202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3479 loss: 2.3479 2022/07/22 23:34:00 - mmengine - INFO - Epoch(train) [37][860/3757] lr: 1.0000e-02 eta: 15:34:23 time: 0.2392 data_time: 0.0192 memory: 6108 grad_norm: 5.7013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2259 loss: 2.2259 2022/07/22 23:34:05 - mmengine - INFO - Epoch(train) [37][880/3757] lr: 1.0000e-02 eta: 15:34:19 time: 0.2385 data_time: 0.0412 memory: 6108 grad_norm: 5.6468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0378 loss: 2.0378 2022/07/22 23:34:09 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 1.0000e-02 eta: 15:34:14 time: 0.2298 data_time: 0.0266 memory: 6108 grad_norm: 5.7422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1406 loss: 2.1406 2022/07/22 23:34:14 - mmengine - INFO - Epoch(train) [37][920/3757] lr: 1.0000e-02 eta: 15:34:09 time: 0.2285 data_time: 0.0215 memory: 6108 grad_norm: 5.7895 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1887 loss: 2.1887 2022/07/22 23:34:18 - mmengine - INFO - Epoch(train) [37][940/3757] lr: 1.0000e-02 eta: 15:34:04 time: 0.2271 data_time: 0.0288 memory: 6108 grad_norm: 5.8256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7683 loss: 1.7683 2022/07/22 23:34:23 - mmengine - INFO - Epoch(train) [37][960/3757] lr: 1.0000e-02 eta: 15:33:59 time: 0.2328 data_time: 0.0197 memory: 6108 grad_norm: 5.5733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1453 loss: 2.1453 2022/07/22 23:34:28 - mmengine - INFO - Epoch(train) [37][980/3757] lr: 1.0000e-02 eta: 15:33:55 time: 0.2536 data_time: 0.0193 memory: 6108 grad_norm: 5.6699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0999 loss: 2.0999 2022/07/22 23:34:33 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 1.0000e-02 eta: 15:33:51 time: 0.2337 data_time: 0.0199 memory: 6108 grad_norm: 5.8910 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8586 loss: 1.8586 2022/07/22 23:34:37 - mmengine - INFO - Epoch(train) [37][1020/3757] lr: 1.0000e-02 eta: 15:33:46 time: 0.2290 data_time: 0.0257 memory: 6108 grad_norm: 5.6558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0531 loss: 2.0531 2022/07/22 23:34:42 - mmengine - INFO - Epoch(train) [37][1040/3757] lr: 1.0000e-02 eta: 15:33:41 time: 0.2304 data_time: 0.0201 memory: 6108 grad_norm: 5.8920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4807 loss: 2.4807 2022/07/22 23:34:47 - mmengine - INFO - Epoch(train) [37][1060/3757] lr: 1.0000e-02 eta: 15:33:36 time: 0.2361 data_time: 0.0236 memory: 6108 grad_norm: 5.9051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1082 loss: 2.1082 2022/07/22 23:34:51 - mmengine - INFO - Epoch(train) [37][1080/3757] lr: 1.0000e-02 eta: 15:33:32 time: 0.2396 data_time: 0.0203 memory: 6108 grad_norm: 5.6993 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/07/22 23:34:56 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 1.0000e-02 eta: 15:33:27 time: 0.2218 data_time: 0.0189 memory: 6108 grad_norm: 5.6837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9103 loss: 1.9103 2022/07/22 23:35:01 - mmengine - INFO - Epoch(train) [37][1120/3757] lr: 1.0000e-02 eta: 15:33:22 time: 0.2274 data_time: 0.0241 memory: 6108 grad_norm: 5.7289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8648 loss: 1.8648 2022/07/22 23:35:05 - mmengine - INFO - Epoch(train) [37][1140/3757] lr: 1.0000e-02 eta: 15:33:18 time: 0.2431 data_time: 0.0207 memory: 6108 grad_norm: 5.8556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/07/22 23:35:10 - mmengine - INFO - Epoch(train) [37][1160/3757] lr: 1.0000e-02 eta: 15:33:13 time: 0.2301 data_time: 0.0254 memory: 6108 grad_norm: 5.7735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6845 loss: 1.6845 2022/07/22 23:35:15 - mmengine - INFO - Epoch(train) [37][1180/3757] lr: 1.0000e-02 eta: 15:33:09 time: 0.2473 data_time: 0.0255 memory: 6108 grad_norm: 5.9247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9519 loss: 1.9519 2022/07/22 23:35:20 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 1.0000e-02 eta: 15:33:04 time: 0.2397 data_time: 0.0247 memory: 6108 grad_norm: 5.7967 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0797 loss: 2.0797 2022/07/22 23:35:24 - mmengine - INFO - Epoch(train) [37][1220/3757] lr: 1.0000e-02 eta: 15:32:59 time: 0.2246 data_time: 0.0212 memory: 6108 grad_norm: 5.3565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9836 loss: 1.9836 2022/07/22 23:35:29 - mmengine - INFO - Epoch(train) [37][1240/3757] lr: 1.0000e-02 eta: 15:32:54 time: 0.2255 data_time: 0.0241 memory: 6108 grad_norm: 5.5654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9345 loss: 1.9345 2022/07/22 23:35:34 - mmengine - INFO - Epoch(train) [37][1260/3757] lr: 1.0000e-02 eta: 15:32:50 time: 0.2500 data_time: 0.0222 memory: 6108 grad_norm: 5.8983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0917 loss: 2.0917 2022/07/22 23:35:38 - mmengine - INFO - Epoch(train) [37][1280/3757] lr: 1.0000e-02 eta: 15:32:45 time: 0.2231 data_time: 0.0213 memory: 6108 grad_norm: 5.5075 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8589 loss: 1.8589 2022/07/22 23:35:43 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 1.0000e-02 eta: 15:32:40 time: 0.2240 data_time: 0.0189 memory: 6108 grad_norm: 5.3826 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/07/22 23:35:47 - mmengine - INFO - Epoch(train) [37][1320/3757] lr: 1.0000e-02 eta: 15:32:35 time: 0.2276 data_time: 0.0219 memory: 6108 grad_norm: 5.8714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0906 loss: 2.0906 2022/07/22 23:35:52 - mmengine - INFO - Epoch(train) [37][1340/3757] lr: 1.0000e-02 eta: 15:32:30 time: 0.2361 data_time: 0.0201 memory: 6108 grad_norm: 5.8512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7924 loss: 1.7924 2022/07/22 23:35:58 - mmengine - INFO - Epoch(train) [37][1360/3757] lr: 1.0000e-02 eta: 15:32:27 time: 0.2732 data_time: 0.0262 memory: 6108 grad_norm: 5.8380 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5842 loss: 1.5842 2022/07/22 23:36:02 - mmengine - INFO - Epoch(train) [37][1380/3757] lr: 1.0000e-02 eta: 15:32:22 time: 0.2277 data_time: 0.0215 memory: 6108 grad_norm: 5.9085 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1334 loss: 2.1334 2022/07/22 23:36:07 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 1.0000e-02 eta: 15:32:18 time: 0.2390 data_time: 0.0267 memory: 6108 grad_norm: 5.7935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2080 loss: 2.2080 2022/07/22 23:36:12 - mmengine - INFO - Epoch(train) [37][1420/3757] lr: 1.0000e-02 eta: 15:32:13 time: 0.2338 data_time: 0.0233 memory: 6108 grad_norm: 5.7551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0031 loss: 2.0031 2022/07/22 23:36:16 - mmengine - INFO - Epoch(train) [37][1440/3757] lr: 1.0000e-02 eta: 15:32:08 time: 0.2307 data_time: 0.0221 memory: 6108 grad_norm: 5.7948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7842 loss: 1.7842 2022/07/22 23:36:21 - mmengine - INFO - Epoch(train) [37][1460/3757] lr: 1.0000e-02 eta: 15:32:03 time: 0.2282 data_time: 0.0255 memory: 6108 grad_norm: 5.6746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8416 loss: 1.8416 2022/07/22 23:36:26 - mmengine - INFO - Epoch(train) [37][1480/3757] lr: 1.0000e-02 eta: 15:31:59 time: 0.2393 data_time: 0.0186 memory: 6108 grad_norm: 5.5667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0154 loss: 2.0154 2022/07/22 23:36:30 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 1.0000e-02 eta: 15:31:54 time: 0.2357 data_time: 0.0235 memory: 6108 grad_norm: 5.5751 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8902 loss: 1.8902 2022/07/22 23:36:35 - mmengine - INFO - Epoch(train) [37][1520/3757] lr: 1.0000e-02 eta: 15:31:49 time: 0.2278 data_time: 0.0269 memory: 6108 grad_norm: 5.8019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0004 loss: 2.0004 2022/07/22 23:36:40 - mmengine - INFO - Epoch(train) [37][1540/3757] lr: 1.0000e-02 eta: 15:31:46 time: 0.2629 data_time: 0.0187 memory: 6108 grad_norm: 5.8680 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9471 loss: 1.9471 2022/07/22 23:36:45 - mmengine - INFO - Epoch(train) [37][1560/3757] lr: 1.0000e-02 eta: 15:31:41 time: 0.2417 data_time: 0.0186 memory: 6108 grad_norm: 5.9194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9507 loss: 1.9507 2022/07/22 23:36:50 - mmengine - INFO - Epoch(train) [37][1580/3757] lr: 1.0000e-02 eta: 15:31:36 time: 0.2331 data_time: 0.0233 memory: 6108 grad_norm: 5.7814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9823 loss: 1.9823 2022/07/22 23:36:54 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 1.0000e-02 eta: 15:31:31 time: 0.2245 data_time: 0.0197 memory: 6108 grad_norm: 5.5881 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/07/22 23:36:59 - mmengine - INFO - Epoch(train) [37][1620/3757] lr: 1.0000e-02 eta: 15:31:27 time: 0.2271 data_time: 0.0220 memory: 6108 grad_norm: 5.6502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9649 loss: 1.9649 2022/07/22 23:37:04 - mmengine - INFO - Epoch(train) [37][1640/3757] lr: 1.0000e-02 eta: 15:31:22 time: 0.2429 data_time: 0.0218 memory: 6108 grad_norm: 5.8650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0759 loss: 2.0759 2022/07/22 23:37:08 - mmengine - INFO - Epoch(train) [37][1660/3757] lr: 1.0000e-02 eta: 15:31:17 time: 0.2222 data_time: 0.0200 memory: 6108 grad_norm: 5.6322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2271 loss: 2.2271 2022/07/22 23:37:13 - mmengine - INFO - Epoch(train) [37][1680/3757] lr: 1.0000e-02 eta: 15:31:12 time: 0.2278 data_time: 0.0219 memory: 6108 grad_norm: 5.5720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0842 loss: 2.0842 2022/07/22 23:37:17 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 1.0000e-02 eta: 15:31:07 time: 0.2318 data_time: 0.0205 memory: 6108 grad_norm: 5.4511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8687 loss: 1.8687 2022/07/22 23:37:22 - mmengine - INFO - Epoch(train) [37][1720/3757] lr: 1.0000e-02 eta: 15:31:03 time: 0.2306 data_time: 0.0210 memory: 6108 grad_norm: 5.5639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1380 loss: 2.1380 2022/07/22 23:37:27 - mmengine - INFO - Epoch(train) [37][1740/3757] lr: 1.0000e-02 eta: 15:30:58 time: 0.2412 data_time: 0.0208 memory: 6108 grad_norm: 5.6435 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9022 loss: 1.9022 2022/07/22 23:37:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:37:31 - mmengine - INFO - Epoch(train) [37][1760/3757] lr: 1.0000e-02 eta: 15:30:53 time: 0.2299 data_time: 0.0261 memory: 6108 grad_norm: 5.5603 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9466 loss: 1.9466 2022/07/22 23:37:36 - mmengine - INFO - Epoch(train) [37][1780/3757] lr: 1.0000e-02 eta: 15:30:49 time: 0.2436 data_time: 0.0265 memory: 6108 grad_norm: 5.5296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0084 loss: 2.0084 2022/07/22 23:37:41 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 1.0000e-02 eta: 15:30:45 time: 0.2463 data_time: 0.0172 memory: 6108 grad_norm: 5.7551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1439 loss: 2.1439 2022/07/22 23:37:46 - mmengine - INFO - Epoch(train) [37][1820/3757] lr: 1.0000e-02 eta: 15:30:40 time: 0.2293 data_time: 0.0215 memory: 6108 grad_norm: 5.7096 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6713 loss: 1.6713 2022/07/22 23:37:50 - mmengine - INFO - Epoch(train) [37][1840/3757] lr: 1.0000e-02 eta: 15:30:35 time: 0.2280 data_time: 0.0255 memory: 6108 grad_norm: 5.6995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2763 loss: 2.2763 2022/07/22 23:37:55 - mmengine - INFO - Epoch(train) [37][1860/3757] lr: 1.0000e-02 eta: 15:30:31 time: 0.2398 data_time: 0.0235 memory: 6108 grad_norm: 5.5887 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3281 loss: 2.3281 2022/07/22 23:38:00 - mmengine - INFO - Epoch(train) [37][1880/3757] lr: 1.0000e-02 eta: 15:30:26 time: 0.2271 data_time: 0.0215 memory: 6108 grad_norm: 5.7488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8511 loss: 1.8511 2022/07/22 23:38:04 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 1.0000e-02 eta: 15:30:21 time: 0.2336 data_time: 0.0210 memory: 6108 grad_norm: 5.7230 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0972 loss: 2.0972 2022/07/22 23:38:09 - mmengine - INFO - Epoch(train) [37][1920/3757] lr: 1.0000e-02 eta: 15:30:16 time: 0.2266 data_time: 0.0242 memory: 6108 grad_norm: 5.8573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6325 loss: 1.6325 2022/07/22 23:38:14 - mmengine - INFO - Epoch(train) [37][1940/3757] lr: 1.0000e-02 eta: 15:30:12 time: 0.2507 data_time: 0.0311 memory: 6108 grad_norm: 5.7847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0624 loss: 2.0624 2022/07/22 23:38:19 - mmengine - INFO - Epoch(train) [37][1960/3757] lr: 1.0000e-02 eta: 15:30:07 time: 0.2255 data_time: 0.0210 memory: 6108 grad_norm: 5.8050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0650 loss: 2.0650 2022/07/22 23:38:23 - mmengine - INFO - Epoch(train) [37][1980/3757] lr: 1.0000e-02 eta: 15:30:02 time: 0.2393 data_time: 0.0377 memory: 6108 grad_norm: 5.7815 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0438 loss: 2.0438 2022/07/22 23:38:28 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 1.0000e-02 eta: 15:29:58 time: 0.2361 data_time: 0.0288 memory: 6108 grad_norm: 5.8923 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2961 loss: 2.2961 2022/07/22 23:38:33 - mmengine - INFO - Epoch(train) [37][2020/3757] lr: 1.0000e-02 eta: 15:29:54 time: 0.2632 data_time: 0.0202 memory: 6108 grad_norm: 5.8651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1163 loss: 2.1163 2022/07/22 23:38:38 - mmengine - INFO - Epoch(train) [37][2040/3757] lr: 1.0000e-02 eta: 15:29:49 time: 0.2217 data_time: 0.0212 memory: 6108 grad_norm: 5.7447 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8630 loss: 1.8630 2022/07/22 23:38:42 - mmengine - INFO - Epoch(train) [37][2060/3757] lr: 1.0000e-02 eta: 15:29:44 time: 0.2281 data_time: 0.0222 memory: 6108 grad_norm: 5.7040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/07/22 23:38:47 - mmengine - INFO - Epoch(train) [37][2080/3757] lr: 1.0000e-02 eta: 15:29:39 time: 0.2261 data_time: 0.0265 memory: 6108 grad_norm: 5.7837 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0267 loss: 2.0267 2022/07/22 23:38:51 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 1.0000e-02 eta: 15:29:34 time: 0.2238 data_time: 0.0213 memory: 6108 grad_norm: 5.7527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1408 loss: 2.1408 2022/07/22 23:38:56 - mmengine - INFO - Epoch(train) [37][2120/3757] lr: 1.0000e-02 eta: 15:29:30 time: 0.2524 data_time: 0.0197 memory: 6108 grad_norm: 5.6679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0665 loss: 2.0665 2022/07/22 23:39:01 - mmengine - INFO - Epoch(train) [37][2140/3757] lr: 1.0000e-02 eta: 15:29:25 time: 0.2280 data_time: 0.0194 memory: 6108 grad_norm: 5.7468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/07/22 23:39:06 - mmengine - INFO - Epoch(train) [37][2160/3757] lr: 1.0000e-02 eta: 15:29:21 time: 0.2566 data_time: 0.0260 memory: 6108 grad_norm: 5.7397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7321 loss: 1.7321 2022/07/22 23:39:11 - mmengine - INFO - Epoch(train) [37][2180/3757] lr: 1.0000e-02 eta: 15:29:17 time: 0.2421 data_time: 0.0192 memory: 6108 grad_norm: 5.7962 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4690 loss: 2.4690 2022/07/22 23:39:16 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 1.0000e-02 eta: 15:29:12 time: 0.2278 data_time: 0.0186 memory: 6108 grad_norm: 5.5165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0069 loss: 2.0069 2022/07/22 23:39:20 - mmengine - INFO - Epoch(train) [37][2220/3757] lr: 1.0000e-02 eta: 15:29:07 time: 0.2240 data_time: 0.0235 memory: 6108 grad_norm: 5.4677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1465 loss: 2.1465 2022/07/22 23:39:25 - mmengine - INFO - Epoch(train) [37][2240/3757] lr: 1.0000e-02 eta: 15:29:03 time: 0.2483 data_time: 0.0174 memory: 6108 grad_norm: 5.4849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7291 loss: 1.7291 2022/07/22 23:39:30 - mmengine - INFO - Epoch(train) [37][2260/3757] lr: 1.0000e-02 eta: 15:28:58 time: 0.2238 data_time: 0.0189 memory: 6108 grad_norm: 5.9030 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2261 loss: 2.2261 2022/07/22 23:39:34 - mmengine - INFO - Epoch(train) [37][2280/3757] lr: 1.0000e-02 eta: 15:28:53 time: 0.2308 data_time: 0.0194 memory: 6108 grad_norm: 5.9258 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7990 loss: 1.7990 2022/07/22 23:39:39 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 1.0000e-02 eta: 15:28:48 time: 0.2245 data_time: 0.0255 memory: 6108 grad_norm: 5.9690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0944 loss: 2.0944 2022/07/22 23:39:44 - mmengine - INFO - Epoch(train) [37][2320/3757] lr: 1.0000e-02 eta: 15:28:44 time: 0.2494 data_time: 0.0179 memory: 6108 grad_norm: 5.5818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0023 loss: 2.0023 2022/07/22 23:39:48 - mmengine - INFO - Epoch(train) [37][2340/3757] lr: 1.0000e-02 eta: 15:28:39 time: 0.2341 data_time: 0.0245 memory: 6108 grad_norm: 5.7423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2507 loss: 2.2507 2022/07/22 23:39:53 - mmengine - INFO - Epoch(train) [37][2360/3757] lr: 1.0000e-02 eta: 15:28:34 time: 0.2314 data_time: 0.0200 memory: 6108 grad_norm: 5.6007 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0047 loss: 2.0047 2022/07/22 23:39:57 - mmengine - INFO - Epoch(train) [37][2380/3757] lr: 1.0000e-02 eta: 15:28:29 time: 0.2198 data_time: 0.0180 memory: 6108 grad_norm: 5.6369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7508 loss: 1.7508 2022/07/22 23:40:02 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 1.0000e-02 eta: 15:28:24 time: 0.2255 data_time: 0.0226 memory: 6108 grad_norm: 5.8790 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9046 loss: 1.9046 2022/07/22 23:40:08 - mmengine - INFO - Epoch(train) [37][2420/3757] lr: 1.0000e-02 eta: 15:28:22 time: 0.2979 data_time: 0.0184 memory: 6108 grad_norm: 5.5410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/07/22 23:40:13 - mmengine - INFO - Epoch(train) [37][2440/3757] lr: 1.0000e-02 eta: 15:28:17 time: 0.2379 data_time: 0.0398 memory: 6108 grad_norm: 5.5750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1306 loss: 2.1306 2022/07/22 23:40:17 - mmengine - INFO - Epoch(train) [37][2460/3757] lr: 1.0000e-02 eta: 15:28:12 time: 0.2246 data_time: 0.0198 memory: 6108 grad_norm: 5.6717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2265 loss: 2.2265 2022/07/22 23:40:22 - mmengine - INFO - Epoch(train) [37][2480/3757] lr: 1.0000e-02 eta: 15:28:07 time: 0.2272 data_time: 0.0209 memory: 6108 grad_norm: 5.5080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8620 loss: 1.8620 2022/07/22 23:40:27 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 1.0000e-02 eta: 15:28:04 time: 0.2675 data_time: 0.0573 memory: 6108 grad_norm: 5.6182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1224 loss: 2.1224 2022/07/22 23:40:32 - mmengine - INFO - Epoch(train) [37][2520/3757] lr: 1.0000e-02 eta: 15:27:59 time: 0.2307 data_time: 0.0194 memory: 6108 grad_norm: 5.8343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/07/22 23:40:37 - mmengine - INFO - Epoch(train) [37][2540/3757] lr: 1.0000e-02 eta: 15:27:55 time: 0.2510 data_time: 0.0169 memory: 6108 grad_norm: 5.5859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9920 loss: 1.9920 2022/07/22 23:40:41 - mmengine - INFO - Epoch(train) [37][2560/3757] lr: 1.0000e-02 eta: 15:27:50 time: 0.2295 data_time: 0.0209 memory: 6108 grad_norm: 5.5753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8792 loss: 1.8792 2022/07/22 23:40:46 - mmengine - INFO - Epoch(train) [37][2580/3757] lr: 1.0000e-02 eta: 15:27:46 time: 0.2449 data_time: 0.0246 memory: 6108 grad_norm: 5.6186 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0181 loss: 2.0181 2022/07/22 23:40:51 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 1.0000e-02 eta: 15:27:41 time: 0.2355 data_time: 0.0254 memory: 6108 grad_norm: 5.5876 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0462 loss: 2.0462 2022/07/22 23:40:56 - mmengine - INFO - Epoch(train) [37][2620/3757] lr: 1.0000e-02 eta: 15:27:36 time: 0.2245 data_time: 0.0212 memory: 6108 grad_norm: 6.0342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8750 loss: 1.8750 2022/07/22 23:41:00 - mmengine - INFO - Epoch(train) [37][2640/3757] lr: 1.0000e-02 eta: 15:27:31 time: 0.2218 data_time: 0.0206 memory: 6108 grad_norm: 5.6897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7591 loss: 1.7591 2022/07/22 23:41:05 - mmengine - INFO - Epoch(train) [37][2660/3757] lr: 1.0000e-02 eta: 15:27:27 time: 0.2634 data_time: 0.0228 memory: 6108 grad_norm: 5.6831 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/07/22 23:41:10 - mmengine - INFO - Epoch(train) [37][2680/3757] lr: 1.0000e-02 eta: 15:27:22 time: 0.2291 data_time: 0.0210 memory: 6108 grad_norm: 5.4326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1121 loss: 2.1121 2022/07/22 23:41:14 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 1.0000e-02 eta: 15:27:17 time: 0.2225 data_time: 0.0191 memory: 6108 grad_norm: 5.6098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8358 loss: 1.8358 2022/07/22 23:41:19 - mmengine - INFO - Epoch(train) [37][2720/3757] lr: 1.0000e-02 eta: 15:27:12 time: 0.2226 data_time: 0.0194 memory: 6108 grad_norm: 5.8441 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0509 loss: 2.0509 2022/07/22 23:41:24 - mmengine - INFO - Epoch(train) [37][2740/3757] lr: 1.0000e-02 eta: 15:27:09 time: 0.2591 data_time: 0.0209 memory: 6108 grad_norm: 5.4464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8901 loss: 1.8901 2022/07/22 23:41:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:41:29 - mmengine - INFO - Epoch(train) [37][2760/3757] lr: 1.0000e-02 eta: 15:27:04 time: 0.2309 data_time: 0.0218 memory: 6108 grad_norm: 5.7764 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4801 loss: 2.4801 2022/07/22 23:41:33 - mmengine - INFO - Epoch(train) [37][2780/3757] lr: 1.0000e-02 eta: 15:26:59 time: 0.2263 data_time: 0.0175 memory: 6108 grad_norm: 5.6050 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9932 loss: 1.9932 2022/07/22 23:41:38 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 1.0000e-02 eta: 15:26:54 time: 0.2420 data_time: 0.0191 memory: 6108 grad_norm: 5.6228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0673 loss: 2.0673 2022/07/22 23:41:43 - mmengine - INFO - Epoch(train) [37][2820/3757] lr: 1.0000e-02 eta: 15:26:50 time: 0.2425 data_time: 0.0188 memory: 6108 grad_norm: 5.6886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0649 loss: 2.0649 2022/07/22 23:41:47 - mmengine - INFO - Epoch(train) [37][2840/3757] lr: 1.0000e-02 eta: 15:26:45 time: 0.2251 data_time: 0.0188 memory: 6108 grad_norm: 5.8068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0313 loss: 2.0313 2022/07/22 23:41:52 - mmengine - INFO - Epoch(train) [37][2860/3757] lr: 1.0000e-02 eta: 15:26:40 time: 0.2256 data_time: 0.0241 memory: 6108 grad_norm: 5.7558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8772 loss: 1.8772 2022/07/22 23:41:57 - mmengine - INFO - Epoch(train) [37][2880/3757] lr: 1.0000e-02 eta: 15:26:35 time: 0.2310 data_time: 0.0179 memory: 6108 grad_norm: 5.8434 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.9430 loss: 1.9430 2022/07/22 23:42:01 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 1.0000e-02 eta: 15:26:30 time: 0.2283 data_time: 0.0262 memory: 6108 grad_norm: 5.5930 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9208 loss: 1.9208 2022/07/22 23:42:06 - mmengine - INFO - Epoch(train) [37][2920/3757] lr: 1.0000e-02 eta: 15:26:26 time: 0.2415 data_time: 0.0256 memory: 6108 grad_norm: 5.9222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3825 loss: 2.3825 2022/07/22 23:42:11 - mmengine - INFO - Epoch(train) [37][2940/3757] lr: 1.0000e-02 eta: 15:26:21 time: 0.2262 data_time: 0.0216 memory: 6108 grad_norm: 5.5798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2918 loss: 2.2918 2022/07/22 23:42:15 - mmengine - INFO - Epoch(train) [37][2960/3757] lr: 1.0000e-02 eta: 15:26:16 time: 0.2243 data_time: 0.0195 memory: 6108 grad_norm: 5.8038 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6860 loss: 1.6860 2022/07/22 23:42:20 - mmengine - INFO - Epoch(train) [37][2980/3757] lr: 1.0000e-02 eta: 15:26:11 time: 0.2280 data_time: 0.0239 memory: 6108 grad_norm: 5.8923 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3808 loss: 2.3808 2022/07/22 23:42:25 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 1.0000e-02 eta: 15:26:07 time: 0.2640 data_time: 0.0251 memory: 6108 grad_norm: 5.6037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/07/22 23:42:30 - mmengine - INFO - Epoch(train) [37][3020/3757] lr: 1.0000e-02 eta: 15:26:03 time: 0.2284 data_time: 0.0170 memory: 6108 grad_norm: 5.6333 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9618 loss: 1.9618 2022/07/22 23:42:34 - mmengine - INFO - Epoch(train) [37][3040/3757] lr: 1.0000e-02 eta: 15:25:58 time: 0.2272 data_time: 0.0244 memory: 6108 grad_norm: 5.8049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9843 loss: 1.9843 2022/07/22 23:42:39 - mmengine - INFO - Epoch(train) [37][3060/3757] lr: 1.0000e-02 eta: 15:25:53 time: 0.2291 data_time: 0.0225 memory: 6108 grad_norm: 5.7583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0507 loss: 2.0507 2022/07/22 23:42:45 - mmengine - INFO - Epoch(train) [37][3080/3757] lr: 1.0000e-02 eta: 15:25:50 time: 0.2923 data_time: 0.0477 memory: 6108 grad_norm: 5.6783 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2242 loss: 2.2242 2022/07/22 23:42:49 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 1.0000e-02 eta: 15:25:45 time: 0.2224 data_time: 0.0226 memory: 6108 grad_norm: 5.5756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9861 loss: 1.9861 2022/07/22 23:42:53 - mmengine - INFO - Epoch(train) [37][3120/3757] lr: 1.0000e-02 eta: 15:25:40 time: 0.2229 data_time: 0.0184 memory: 6108 grad_norm: 5.8179 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0126 loss: 2.0126 2022/07/22 23:42:58 - mmengine - INFO - Epoch(train) [37][3140/3757] lr: 1.0000e-02 eta: 15:25:35 time: 0.2358 data_time: 0.0196 memory: 6108 grad_norm: 5.8655 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0429 loss: 2.0429 2022/07/22 23:43:03 - mmengine - INFO - Epoch(train) [37][3160/3757] lr: 1.0000e-02 eta: 15:25:31 time: 0.2530 data_time: 0.0256 memory: 6108 grad_norm: 5.5061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0248 loss: 2.0248 2022/07/22 23:43:08 - mmengine - INFO - Epoch(train) [37][3180/3757] lr: 1.0000e-02 eta: 15:25:26 time: 0.2255 data_time: 0.0213 memory: 6108 grad_norm: 5.6156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0762 loss: 2.0762 2022/07/22 23:43:12 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 1.0000e-02 eta: 15:25:21 time: 0.2244 data_time: 0.0238 memory: 6108 grad_norm: 5.5560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2498 loss: 2.2498 2022/07/22 23:43:17 - mmengine - INFO - Epoch(train) [37][3220/3757] lr: 1.0000e-02 eta: 15:25:17 time: 0.2390 data_time: 0.0228 memory: 6108 grad_norm: 5.6048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0463 loss: 2.0463 2022/07/22 23:43:22 - mmengine - INFO - Epoch(train) [37][3240/3757] lr: 1.0000e-02 eta: 15:25:12 time: 0.2380 data_time: 0.0159 memory: 6108 grad_norm: 5.6133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7921 loss: 1.7921 2022/07/22 23:43:27 - mmengine - INFO - Epoch(train) [37][3260/3757] lr: 1.0000e-02 eta: 15:25:09 time: 0.2600 data_time: 0.0203 memory: 6108 grad_norm: 5.4739 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0453 loss: 2.0453 2022/07/22 23:43:32 - mmengine - INFO - Epoch(train) [37][3280/3757] lr: 1.0000e-02 eta: 15:25:04 time: 0.2294 data_time: 0.0233 memory: 6108 grad_norm: 5.7572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0763 loss: 2.0763 2022/07/22 23:43:36 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 1.0000e-02 eta: 15:24:59 time: 0.2279 data_time: 0.0233 memory: 6108 grad_norm: 5.6051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9073 loss: 1.9073 2022/07/22 23:43:41 - mmengine - INFO - Epoch(train) [37][3320/3757] lr: 1.0000e-02 eta: 15:24:54 time: 0.2250 data_time: 0.0228 memory: 6108 grad_norm: 5.7535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0714 loss: 2.0714 2022/07/22 23:43:46 - mmengine - INFO - Epoch(train) [37][3340/3757] lr: 1.0000e-02 eta: 15:24:50 time: 0.2482 data_time: 0.0191 memory: 6108 grad_norm: 5.7155 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7296 loss: 1.7296 2022/07/22 23:43:50 - mmengine - INFO - Epoch(train) [37][3360/3757] lr: 1.0000e-02 eta: 15:24:45 time: 0.2295 data_time: 0.0276 memory: 6108 grad_norm: 5.6836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1068 loss: 2.1068 2022/07/22 23:43:55 - mmengine - INFO - Epoch(train) [37][3380/3757] lr: 1.0000e-02 eta: 15:24:40 time: 0.2443 data_time: 0.0183 memory: 6108 grad_norm: 5.7108 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8333 loss: 1.8333 2022/07/22 23:44:00 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 1.0000e-02 eta: 15:24:36 time: 0.2353 data_time: 0.0222 memory: 6108 grad_norm: 5.7064 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/07/22 23:44:05 - mmengine - INFO - Epoch(train) [37][3420/3757] lr: 1.0000e-02 eta: 15:24:32 time: 0.2535 data_time: 0.0200 memory: 6108 grad_norm: 5.8964 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0886 loss: 2.0886 2022/07/22 23:44:10 - mmengine - INFO - Epoch(train) [37][3440/3757] lr: 1.0000e-02 eta: 15:24:27 time: 0.2309 data_time: 0.0251 memory: 6108 grad_norm: 5.8912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1295 loss: 2.1295 2022/07/22 23:44:14 - mmengine - INFO - Epoch(train) [37][3460/3757] lr: 1.0000e-02 eta: 15:24:22 time: 0.2365 data_time: 0.0201 memory: 6108 grad_norm: 5.8586 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1426 loss: 2.1426 2022/07/22 23:44:19 - mmengine - INFO - Epoch(train) [37][3480/3757] lr: 1.0000e-02 eta: 15:24:18 time: 0.2330 data_time: 0.0220 memory: 6108 grad_norm: 5.8221 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1971 loss: 2.1971 2022/07/22 23:44:25 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 1.0000e-02 eta: 15:24:15 time: 0.2904 data_time: 0.0182 memory: 6108 grad_norm: 5.6530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1277 loss: 2.1277 2022/07/22 23:44:29 - mmengine - INFO - Epoch(train) [37][3520/3757] lr: 1.0000e-02 eta: 15:24:10 time: 0.2202 data_time: 0.0235 memory: 6108 grad_norm: 5.7160 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8409 loss: 1.8409 2022/07/22 23:44:34 - mmengine - INFO - Epoch(train) [37][3540/3757] lr: 1.0000e-02 eta: 15:24:05 time: 0.2188 data_time: 0.0189 memory: 6108 grad_norm: 5.8227 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0211 loss: 2.0211 2022/07/22 23:44:38 - mmengine - INFO - Epoch(train) [37][3560/3757] lr: 1.0000e-02 eta: 15:24:00 time: 0.2288 data_time: 0.0203 memory: 6108 grad_norm: 5.6334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0350 loss: 2.0350 2022/07/22 23:44:44 - mmengine - INFO - Epoch(train) [37][3580/3757] lr: 1.0000e-02 eta: 15:23:56 time: 0.2657 data_time: 0.0248 memory: 6108 grad_norm: 5.5323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1444 loss: 2.1444 2022/07/22 23:44:48 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 1.0000e-02 eta: 15:23:51 time: 0.2305 data_time: 0.0202 memory: 6108 grad_norm: 5.6436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9223 loss: 1.9223 2022/07/22 23:44:53 - mmengine - INFO - Epoch(train) [37][3620/3757] lr: 1.0000e-02 eta: 15:23:47 time: 0.2411 data_time: 0.0236 memory: 6108 grad_norm: 5.8214 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0545 loss: 2.0545 2022/07/22 23:44:58 - mmengine - INFO - Epoch(train) [37][3640/3757] lr: 1.0000e-02 eta: 15:23:42 time: 0.2276 data_time: 0.0233 memory: 6108 grad_norm: 5.6678 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1098 loss: 2.1098 2022/07/22 23:45:02 - mmengine - INFO - Epoch(train) [37][3660/3757] lr: 1.0000e-02 eta: 15:23:37 time: 0.2276 data_time: 0.0196 memory: 6108 grad_norm: 5.5064 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0614 loss: 2.0614 2022/07/22 23:45:07 - mmengine - INFO - Epoch(train) [37][3680/3757] lr: 1.0000e-02 eta: 15:23:33 time: 0.2475 data_time: 0.0155 memory: 6108 grad_norm: 5.7363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9702 loss: 1.9702 2022/07/22 23:45:12 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 1.0000e-02 eta: 15:23:28 time: 0.2323 data_time: 0.0190 memory: 6108 grad_norm: 5.8178 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3388 loss: 2.3388 2022/07/22 23:45:17 - mmengine - INFO - Epoch(train) [37][3720/3757] lr: 1.0000e-02 eta: 15:23:23 time: 0.2358 data_time: 0.0201 memory: 6108 grad_norm: 5.8322 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1221 loss: 2.1221 2022/07/22 23:45:21 - mmengine - INFO - Epoch(train) [37][3740/3757] lr: 1.0000e-02 eta: 15:23:18 time: 0.2226 data_time: 0.0190 memory: 6108 grad_norm: 5.7700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9634 loss: 1.9634 2022/07/22 23:45:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:45:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:45:25 - mmengine - INFO - Epoch(train) [37][3757/3757] lr: 1.0000e-02 eta: 15:23:18 time: 0.2247 data_time: 0.0214 memory: 6108 grad_norm: 5.9241 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.9530 loss: 1.9530 2022/07/22 23:45:31 - mmengine - INFO - Epoch(val) [37][20/310] eta: 0:01:20 time: 0.2787 data_time: 0.1983 memory: 1428 2022/07/22 23:45:34 - mmengine - INFO - Epoch(val) [37][40/310] eta: 0:00:47 time: 0.1773 data_time: 0.1010 memory: 1428 2022/07/22 23:45:39 - mmengine - INFO - Epoch(val) [37][60/310] eta: 0:00:57 time: 0.2311 data_time: 0.1543 memory: 1428 2022/07/22 23:45:43 - mmengine - INFO - Epoch(val) [37][80/310] eta: 0:00:46 time: 0.2023 data_time: 0.1238 memory: 1428 2022/07/22 23:45:47 - mmengine - INFO - Epoch(val) [37][100/310] eta: 0:00:47 time: 0.2285 data_time: 0.1514 memory: 1428 2022/07/22 23:45:51 - mmengine - INFO - Epoch(val) [37][120/310] eta: 0:00:37 time: 0.1975 data_time: 0.1192 memory: 1428 2022/07/22 23:45:56 - mmengine - INFO - Epoch(val) [37][140/310] eta: 0:00:38 time: 0.2288 data_time: 0.1518 memory: 1428 2022/07/22 23:46:00 - mmengine - INFO - Epoch(val) [37][160/310] eta: 0:00:29 time: 0.2000 data_time: 0.1258 memory: 1428 2022/07/22 23:46:05 - mmengine - INFO - Epoch(val) [37][180/310] eta: 0:00:31 time: 0.2450 data_time: 0.1609 memory: 1428 2022/07/22 23:46:08 - mmengine - INFO - Epoch(val) [37][200/310] eta: 0:00:19 time: 0.1730 data_time: 0.0977 memory: 1428 2022/07/22 23:46:14 - mmengine - INFO - Epoch(val) [37][220/310] eta: 0:00:25 time: 0.2854 data_time: 0.2083 memory: 1428 2022/07/22 23:46:18 - mmengine - INFO - Epoch(val) [37][240/310] eta: 0:00:13 time: 0.1879 data_time: 0.1163 memory: 1428 2022/07/22 23:46:23 - mmengine - INFO - Epoch(val) [37][260/310] eta: 0:00:12 time: 0.2419 data_time: 0.1675 memory: 1428 2022/07/22 23:46:26 - mmengine - INFO - Epoch(val) [37][280/310] eta: 0:00:05 time: 0.1925 data_time: 0.0838 memory: 1428 2022/07/22 23:46:30 - mmengine - INFO - Epoch(val) [37][300/310] eta: 0:00:01 time: 0.1965 data_time: 0.1291 memory: 1428 2022/07/22 23:46:33 - mmengine - INFO - Epoch(val) [37][310/310] acc/top1: 0.5626 acc/top5: 0.7986 acc/mean1: 0.5625 2022/07/22 23:46:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_37.pth is removed 2022/07/22 23:46:36 - mmengine - INFO - The best checkpoint with 0.5626 acc/top1 at 38 epoch is saved to best_acc/top1_epoch_38.pth. 2022/07/22 23:46:42 - mmengine - INFO - Epoch(train) [38][20/3757] lr: 1.0000e-02 eta: 15:23:04 time: 0.2775 data_time: 0.0824 memory: 6108 grad_norm: 5.7210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5262 loss: 1.5262 2022/07/22 23:46:47 - mmengine - INFO - Epoch(train) [38][40/3757] lr: 1.0000e-02 eta: 15:23:00 time: 0.2286 data_time: 0.0179 memory: 6108 grad_norm: 5.4678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7485 loss: 1.7485 2022/07/22 23:46:51 - mmengine - INFO - Epoch(train) [38][60/3757] lr: 1.0000e-02 eta: 15:22:55 time: 0.2296 data_time: 0.0210 memory: 6108 grad_norm: 5.5593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9200 loss: 1.9200 2022/07/22 23:46:56 - mmengine - INFO - Epoch(train) [38][80/3757] lr: 1.0000e-02 eta: 15:22:51 time: 0.2598 data_time: 0.0214 memory: 6108 grad_norm: 5.7350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0295 loss: 2.0295 2022/07/22 23:47:01 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 1.0000e-02 eta: 15:22:46 time: 0.2267 data_time: 0.0296 memory: 6108 grad_norm: 5.4120 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1474 loss: 2.1474 2022/07/22 23:47:05 - mmengine - INFO - Epoch(train) [38][120/3757] lr: 1.0000e-02 eta: 15:22:41 time: 0.2203 data_time: 0.0239 memory: 6108 grad_norm: 5.6590 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9783 loss: 1.9783 2022/07/22 23:47:10 - mmengine - INFO - Epoch(train) [38][140/3757] lr: 1.0000e-02 eta: 15:22:36 time: 0.2249 data_time: 0.0208 memory: 6108 grad_norm: 5.6274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/07/22 23:47:15 - mmengine - INFO - Epoch(train) [38][160/3757] lr: 1.0000e-02 eta: 15:22:32 time: 0.2587 data_time: 0.0203 memory: 6108 grad_norm: 5.7005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8101 loss: 1.8101 2022/07/22 23:47:20 - mmengine - INFO - Epoch(train) [38][180/3757] lr: 1.0000e-02 eta: 15:22:27 time: 0.2269 data_time: 0.0180 memory: 6108 grad_norm: 5.6808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6951 loss: 1.6951 2022/07/22 23:47:24 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 1.0000e-02 eta: 15:22:22 time: 0.2316 data_time: 0.0202 memory: 6108 grad_norm: 5.4908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/07/22 23:47:29 - mmengine - INFO - Epoch(train) [38][220/3757] lr: 1.0000e-02 eta: 15:22:18 time: 0.2330 data_time: 0.0228 memory: 6108 grad_norm: 5.6407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9164 loss: 1.9164 2022/07/22 23:47:35 - mmengine - INFO - Epoch(train) [38][240/3757] lr: 1.0000e-02 eta: 15:22:15 time: 0.2889 data_time: 0.0293 memory: 6108 grad_norm: 5.7586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8780 loss: 1.8780 2022/07/22 23:47:39 - mmengine - INFO - Epoch(train) [38][260/3757] lr: 1.0000e-02 eta: 15:22:10 time: 0.2193 data_time: 0.0208 memory: 6108 grad_norm: 5.6476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7786 loss: 1.7786 2022/07/22 23:47:44 - mmengine - INFO - Epoch(train) [38][280/3757] lr: 1.0000e-02 eta: 15:22:05 time: 0.2289 data_time: 0.0247 memory: 6108 grad_norm: 5.6291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0504 loss: 2.0504 2022/07/22 23:47:48 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 1.0000e-02 eta: 15:22:00 time: 0.2306 data_time: 0.0170 memory: 6108 grad_norm: 5.5904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0487 loss: 2.0487 2022/07/22 23:47:53 - mmengine - INFO - Epoch(train) [38][320/3757] lr: 1.0000e-02 eta: 15:21:55 time: 0.2317 data_time: 0.0298 memory: 6108 grad_norm: 5.5163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7751 loss: 1.7751 2022/07/22 23:47:58 - mmengine - INFO - Epoch(train) [38][340/3757] lr: 1.0000e-02 eta: 15:21:51 time: 0.2393 data_time: 0.0293 memory: 6108 grad_norm: 5.6691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/07/22 23:48:03 - mmengine - INFO - Epoch(train) [38][360/3757] lr: 1.0000e-02 eta: 15:21:46 time: 0.2371 data_time: 0.0227 memory: 6108 grad_norm: 5.5314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8971 loss: 1.8971 2022/07/22 23:48:07 - mmengine - INFO - Epoch(train) [38][380/3757] lr: 1.0000e-02 eta: 15:21:41 time: 0.2307 data_time: 0.0172 memory: 6108 grad_norm: 5.7607 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4397 loss: 2.4397 2022/07/22 23:48:12 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 1.0000e-02 eta: 15:21:36 time: 0.2240 data_time: 0.0210 memory: 6108 grad_norm: 5.7943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8343 loss: 1.8343 2022/07/22 23:48:17 - mmengine - INFO - Epoch(train) [38][420/3757] lr: 1.0000e-02 eta: 15:21:32 time: 0.2449 data_time: 0.0163 memory: 6108 grad_norm: 5.9304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2308 loss: 2.2308 2022/07/22 23:48:21 - mmengine - INFO - Epoch(train) [38][440/3757] lr: 1.0000e-02 eta: 15:21:27 time: 0.2312 data_time: 0.0246 memory: 6108 grad_norm: 5.8092 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0222 loss: 2.0222 2022/07/22 23:48:26 - mmengine - INFO - Epoch(train) [38][460/3757] lr: 1.0000e-02 eta: 15:21:23 time: 0.2466 data_time: 0.0216 memory: 6108 grad_norm: 5.8197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1789 loss: 2.1789 2022/07/22 23:48:31 - mmengine - INFO - Epoch(train) [38][480/3757] lr: 1.0000e-02 eta: 15:21:18 time: 0.2308 data_time: 0.0243 memory: 6108 grad_norm: 5.4682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1631 loss: 2.1631 2022/07/22 23:48:36 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 1.0000e-02 eta: 15:21:14 time: 0.2489 data_time: 0.0177 memory: 6108 grad_norm: 5.7687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9488 loss: 1.9488 2022/07/22 23:48:40 - mmengine - INFO - Epoch(train) [38][520/3757] lr: 1.0000e-02 eta: 15:21:09 time: 0.2249 data_time: 0.0216 memory: 6108 grad_norm: 5.5870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0013 loss: 2.0013 2022/07/22 23:48:45 - mmengine - INFO - Epoch(train) [38][540/3757] lr: 1.0000e-02 eta: 15:21:04 time: 0.2260 data_time: 0.0227 memory: 6108 grad_norm: 5.6117 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9495 loss: 1.9495 2022/07/22 23:48:49 - mmengine - INFO - Epoch(train) [38][560/3757] lr: 1.0000e-02 eta: 15:20:59 time: 0.2295 data_time: 0.0205 memory: 6108 grad_norm: 5.8409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2596 loss: 2.2596 2022/07/22 23:48:55 - mmengine - INFO - Epoch(train) [38][580/3757] lr: 1.0000e-02 eta: 15:20:57 time: 0.2959 data_time: 0.0717 memory: 6108 grad_norm: 5.7878 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9420 loss: 1.9420 2022/07/22 23:49:00 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 1.0000e-02 eta: 15:20:52 time: 0.2303 data_time: 0.0234 memory: 6108 grad_norm: 5.9007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3675 loss: 2.3675 2022/07/22 23:49:05 - mmengine - INFO - Epoch(train) [38][620/3757] lr: 1.0000e-02 eta: 15:20:47 time: 0.2313 data_time: 0.0201 memory: 6108 grad_norm: 5.7028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9001 loss: 1.9001 2022/07/22 23:49:09 - mmengine - INFO - Epoch(train) [38][640/3757] lr: 1.0000e-02 eta: 15:20:42 time: 0.2216 data_time: 0.0176 memory: 6108 grad_norm: 5.7969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0249 loss: 2.0249 2022/07/22 23:49:15 - mmengine - INFO - Epoch(train) [38][660/3757] lr: 1.0000e-02 eta: 15:20:40 time: 0.3042 data_time: 0.0301 memory: 6108 grad_norm: 5.7335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2492 loss: 2.2492 2022/07/22 23:49:20 - mmengine - INFO - Epoch(train) [38][680/3757] lr: 1.0000e-02 eta: 15:20:34 time: 0.2160 data_time: 0.0186 memory: 6108 grad_norm: 5.6692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8246 loss: 1.8246 2022/07/22 23:49:24 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 1.0000e-02 eta: 15:20:30 time: 0.2313 data_time: 0.0179 memory: 6108 grad_norm: 5.6800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9453 loss: 1.9453 2022/07/22 23:49:29 - mmengine - INFO - Epoch(train) [38][720/3757] lr: 1.0000e-02 eta: 15:20:25 time: 0.2281 data_time: 0.0212 memory: 6108 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5428 loss: 2.5428 2022/07/22 23:49:34 - mmengine - INFO - Epoch(train) [38][740/3757] lr: 1.0000e-02 eta: 15:20:20 time: 0.2439 data_time: 0.0194 memory: 6108 grad_norm: 5.4616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7966 loss: 1.7966 2022/07/22 23:49:38 - mmengine - INFO - Epoch(train) [38][760/3757] lr: 1.0000e-02 eta: 15:20:16 time: 0.2286 data_time: 0.0195 memory: 6108 grad_norm: 5.5432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9991 loss: 1.9991 2022/07/22 23:49:43 - mmengine - INFO - Epoch(train) [38][780/3757] lr: 1.0000e-02 eta: 15:20:11 time: 0.2257 data_time: 0.0225 memory: 6108 grad_norm: 5.6459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9279 loss: 1.9279 2022/07/22 23:49:47 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 1.0000e-02 eta: 15:20:06 time: 0.2269 data_time: 0.0264 memory: 6108 grad_norm: 5.8634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0884 loss: 2.0884 2022/07/22 23:49:52 - mmengine - INFO - Epoch(train) [38][820/3757] lr: 1.0000e-02 eta: 15:20:01 time: 0.2459 data_time: 0.0172 memory: 6108 grad_norm: 5.7773 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/07/22 23:49:57 - mmengine - INFO - Epoch(train) [38][840/3757] lr: 1.0000e-02 eta: 15:19:57 time: 0.2482 data_time: 0.0219 memory: 6108 grad_norm: 5.7167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9898 loss: 1.9898 2022/07/22 23:50:02 - mmengine - INFO - Epoch(train) [38][860/3757] lr: 1.0000e-02 eta: 15:19:52 time: 0.2313 data_time: 0.0260 memory: 6108 grad_norm: 5.7688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9688 loss: 1.9688 2022/07/22 23:50:06 - mmengine - INFO - Epoch(train) [38][880/3757] lr: 1.0000e-02 eta: 15:19:48 time: 0.2313 data_time: 0.0172 memory: 6108 grad_norm: 5.6179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1555 loss: 2.1555 2022/07/22 23:50:11 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 1.0000e-02 eta: 15:19:43 time: 0.2248 data_time: 0.0201 memory: 6108 grad_norm: 5.6767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9724 loss: 1.9724 2022/07/22 23:50:16 - mmengine - INFO - Epoch(train) [38][920/3757] lr: 1.0000e-02 eta: 15:19:39 time: 0.2644 data_time: 0.0232 memory: 6108 grad_norm: 5.7772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/07/22 23:50:21 - mmengine - INFO - Epoch(train) [38][940/3757] lr: 1.0000e-02 eta: 15:19:34 time: 0.2241 data_time: 0.0187 memory: 6108 grad_norm: 5.8151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/07/22 23:50:25 - mmengine - INFO - Epoch(train) [38][960/3757] lr: 1.0000e-02 eta: 15:19:29 time: 0.2270 data_time: 0.0181 memory: 6108 grad_norm: 5.4953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0045 loss: 2.0045 2022/07/22 23:50:30 - mmengine - INFO - Epoch(train) [38][980/3757] lr: 1.0000e-02 eta: 15:19:25 time: 0.2425 data_time: 0.0214 memory: 6108 grad_norm: 5.7757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8531 loss: 1.8531 2022/07/22 23:50:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:50:35 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 1.0000e-02 eta: 15:19:20 time: 0.2383 data_time: 0.0201 memory: 6108 grad_norm: 5.5871 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0499 loss: 2.0499 2022/07/22 23:50:40 - mmengine - INFO - Epoch(train) [38][1020/3757] lr: 1.0000e-02 eta: 15:19:15 time: 0.2265 data_time: 0.0251 memory: 6108 grad_norm: 5.6298 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0725 loss: 2.0725 2022/07/22 23:50:44 - mmengine - INFO - Epoch(train) [38][1040/3757] lr: 1.0000e-02 eta: 15:19:10 time: 0.2303 data_time: 0.0192 memory: 6108 grad_norm: 5.8350 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9514 loss: 1.9514 2022/07/22 23:50:49 - mmengine - INFO - Epoch(train) [38][1060/3757] lr: 1.0000e-02 eta: 15:19:05 time: 0.2270 data_time: 0.0250 memory: 6108 grad_norm: 5.8108 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1517 loss: 2.1517 2022/07/22 23:50:53 - mmengine - INFO - Epoch(train) [38][1080/3757] lr: 1.0000e-02 eta: 15:19:00 time: 0.2213 data_time: 0.0162 memory: 6108 grad_norm: 5.6624 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9366 loss: 1.9366 2022/07/22 23:50:58 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 1.0000e-02 eta: 15:18:56 time: 0.2371 data_time: 0.0206 memory: 6108 grad_norm: 5.5675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9172 loss: 1.9172 2022/07/22 23:51:03 - mmengine - INFO - Epoch(train) [38][1120/3757] lr: 1.0000e-02 eta: 15:18:51 time: 0.2444 data_time: 0.0206 memory: 6108 grad_norm: 5.8112 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7644 loss: 1.7644 2022/07/22 23:51:07 - mmengine - INFO - Epoch(train) [38][1140/3757] lr: 1.0000e-02 eta: 15:18:47 time: 0.2297 data_time: 0.0182 memory: 6108 grad_norm: 5.7517 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1736 loss: 2.1736 2022/07/22 23:51:12 - mmengine - INFO - Epoch(train) [38][1160/3757] lr: 1.0000e-02 eta: 15:18:42 time: 0.2472 data_time: 0.0195 memory: 6108 grad_norm: 5.8491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1372 loss: 2.1372 2022/07/22 23:51:17 - mmengine - INFO - Epoch(train) [38][1180/3757] lr: 1.0000e-02 eta: 15:18:38 time: 0.2354 data_time: 0.0276 memory: 6108 grad_norm: 5.8489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8150 loss: 1.8150 2022/07/22 23:51:22 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 1.0000e-02 eta: 15:18:33 time: 0.2281 data_time: 0.0203 memory: 6108 grad_norm: 5.8019 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1326 loss: 2.1326 2022/07/22 23:51:26 - mmengine - INFO - Epoch(train) [38][1220/3757] lr: 1.0000e-02 eta: 15:18:28 time: 0.2275 data_time: 0.0252 memory: 6108 grad_norm: 5.7873 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0291 loss: 2.0291 2022/07/22 23:51:31 - mmengine - INFO - Epoch(train) [38][1240/3757] lr: 1.0000e-02 eta: 15:18:24 time: 0.2517 data_time: 0.0166 memory: 6108 grad_norm: 5.7024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/07/22 23:51:36 - mmengine - INFO - Epoch(train) [38][1260/3757] lr: 1.0000e-02 eta: 15:18:19 time: 0.2350 data_time: 0.0168 memory: 6108 grad_norm: 5.6659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0318 loss: 2.0318 2022/07/22 23:51:41 - mmengine - INFO - Epoch(train) [38][1280/3757] lr: 1.0000e-02 eta: 15:18:15 time: 0.2487 data_time: 0.0238 memory: 6108 grad_norm: 5.6407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6974 loss: 1.6974 2022/07/22 23:51:46 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 1.0000e-02 eta: 15:18:11 time: 0.2442 data_time: 0.0188 memory: 6108 grad_norm: 5.4709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9790 loss: 1.9790 2022/07/22 23:51:50 - mmengine - INFO - Epoch(train) [38][1320/3757] lr: 1.0000e-02 eta: 15:18:06 time: 0.2229 data_time: 0.0166 memory: 6108 grad_norm: 5.8942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8596 loss: 1.8596 2022/07/22 23:51:55 - mmengine - INFO - Epoch(train) [38][1340/3757] lr: 1.0000e-02 eta: 15:18:01 time: 0.2350 data_time: 0.0212 memory: 6108 grad_norm: 5.6315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8560 loss: 1.8560 2022/07/22 23:52:00 - mmengine - INFO - Epoch(train) [38][1360/3757] lr: 1.0000e-02 eta: 15:17:56 time: 0.2293 data_time: 0.0204 memory: 6108 grad_norm: 5.7014 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8233 loss: 1.8233 2022/07/22 23:52:04 - mmengine - INFO - Epoch(train) [38][1380/3757] lr: 1.0000e-02 eta: 15:17:52 time: 0.2363 data_time: 0.0190 memory: 6108 grad_norm: 5.7938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1058 loss: 2.1058 2022/07/22 23:52:09 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 1.0000e-02 eta: 15:17:47 time: 0.2272 data_time: 0.0220 memory: 6108 grad_norm: 5.5595 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0852 loss: 2.0852 2022/07/22 23:52:13 - mmengine - INFO - Epoch(train) [38][1420/3757] lr: 1.0000e-02 eta: 15:17:42 time: 0.2217 data_time: 0.0178 memory: 6108 grad_norm: 5.6845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9792 loss: 1.9792 2022/07/22 23:52:18 - mmengine - INFO - Epoch(train) [38][1440/3757] lr: 1.0000e-02 eta: 15:17:37 time: 0.2515 data_time: 0.0214 memory: 6108 grad_norm: 5.7964 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8605 loss: 1.8605 2022/07/22 23:52:23 - mmengine - INFO - Epoch(train) [38][1460/3757] lr: 1.0000e-02 eta: 15:17:33 time: 0.2273 data_time: 0.0253 memory: 6108 grad_norm: 5.7691 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1989 loss: 2.1989 2022/07/22 23:52:28 - mmengine - INFO - Epoch(train) [38][1480/3757] lr: 1.0000e-02 eta: 15:17:28 time: 0.2510 data_time: 0.0203 memory: 6108 grad_norm: 5.5342 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9985 loss: 1.9985 2022/07/22 23:52:33 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 1.0000e-02 eta: 15:17:24 time: 0.2269 data_time: 0.0160 memory: 6108 grad_norm: 5.8588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3445 loss: 2.3445 2022/07/22 23:52:37 - mmengine - INFO - Epoch(train) [38][1520/3757] lr: 1.0000e-02 eta: 15:17:19 time: 0.2409 data_time: 0.0260 memory: 6108 grad_norm: 5.8498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8211 loss: 1.8211 2022/07/22 23:52:42 - mmengine - INFO - Epoch(train) [38][1540/3757] lr: 1.0000e-02 eta: 15:17:14 time: 0.2238 data_time: 0.0196 memory: 6108 grad_norm: 5.8781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9192 loss: 1.9192 2022/07/22 23:52:47 - mmengine - INFO - Epoch(train) [38][1560/3757] lr: 1.0000e-02 eta: 15:17:09 time: 0.2329 data_time: 0.0214 memory: 6108 grad_norm: 5.8229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1397 loss: 2.1397 2022/07/22 23:52:51 - mmengine - INFO - Epoch(train) [38][1580/3757] lr: 1.0000e-02 eta: 15:17:04 time: 0.2271 data_time: 0.0220 memory: 6108 grad_norm: 5.7411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1341 loss: 2.1341 2022/07/22 23:52:56 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 1.0000e-02 eta: 15:17:00 time: 0.2366 data_time: 0.0188 memory: 6108 grad_norm: 5.5747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/07/22 23:53:00 - mmengine - INFO - Epoch(train) [38][1620/3757] lr: 1.0000e-02 eta: 15:16:55 time: 0.2275 data_time: 0.0224 memory: 6108 grad_norm: 5.7785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9569 loss: 1.9569 2022/07/22 23:53:05 - mmengine - INFO - Epoch(train) [38][1640/3757] lr: 1.0000e-02 eta: 15:16:50 time: 0.2245 data_time: 0.0227 memory: 6108 grad_norm: 5.6504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8873 loss: 1.8873 2022/07/22 23:53:10 - mmengine - INFO - Epoch(train) [38][1660/3757] lr: 1.0000e-02 eta: 15:16:45 time: 0.2256 data_time: 0.0202 memory: 6108 grad_norm: 5.6619 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9751 loss: 1.9751 2022/07/22 23:53:15 - mmengine - INFO - Epoch(train) [38][1680/3757] lr: 1.0000e-02 eta: 15:16:41 time: 0.2529 data_time: 0.0214 memory: 6108 grad_norm: 5.6550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7644 loss: 1.7644 2022/07/22 23:53:19 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 1.0000e-02 eta: 15:16:36 time: 0.2374 data_time: 0.0239 memory: 6108 grad_norm: 5.7648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8574 loss: 1.8574 2022/07/22 23:53:24 - mmengine - INFO - Epoch(train) [38][1720/3757] lr: 1.0000e-02 eta: 15:16:32 time: 0.2309 data_time: 0.0304 memory: 6108 grad_norm: 5.7458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/07/22 23:53:28 - mmengine - INFO - Epoch(train) [38][1740/3757] lr: 1.0000e-02 eta: 15:16:27 time: 0.2236 data_time: 0.0230 memory: 6108 grad_norm: 5.9296 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1655 loss: 2.1655 2022/07/22 23:53:33 - mmengine - INFO - Epoch(train) [38][1760/3757] lr: 1.0000e-02 eta: 15:16:22 time: 0.2275 data_time: 0.0266 memory: 6108 grad_norm: 5.7774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1597 loss: 2.1597 2022/07/22 23:53:38 - mmengine - INFO - Epoch(train) [38][1780/3757] lr: 1.0000e-02 eta: 15:16:17 time: 0.2356 data_time: 0.0216 memory: 6108 grad_norm: 5.7297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8349 loss: 1.8349 2022/07/22 23:53:42 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 1.0000e-02 eta: 15:16:12 time: 0.2289 data_time: 0.0207 memory: 6108 grad_norm: 5.9484 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3020 loss: 2.3020 2022/07/22 23:53:47 - mmengine - INFO - Epoch(train) [38][1820/3757] lr: 1.0000e-02 eta: 15:16:07 time: 0.2284 data_time: 0.0230 memory: 6108 grad_norm: 5.8372 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1139 loss: 2.1139 2022/07/22 23:53:52 - mmengine - INFO - Epoch(train) [38][1840/3757] lr: 1.0000e-02 eta: 15:16:03 time: 0.2394 data_time: 0.0190 memory: 6108 grad_norm: 5.5749 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2909 loss: 2.2909 2022/07/22 23:53:57 - mmengine - INFO - Epoch(train) [38][1860/3757] lr: 1.0000e-02 eta: 15:15:59 time: 0.2606 data_time: 0.0215 memory: 6108 grad_norm: 5.6887 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1271 loss: 2.1271 2022/07/22 23:54:02 - mmengine - INFO - Epoch(train) [38][1880/3757] lr: 1.0000e-02 eta: 15:15:54 time: 0.2291 data_time: 0.0222 memory: 6108 grad_norm: 5.6780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7814 loss: 1.7814 2022/07/22 23:54:06 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 1.0000e-02 eta: 15:15:49 time: 0.2163 data_time: 0.0169 memory: 6108 grad_norm: 5.9408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1474 loss: 2.1474 2022/07/22 23:54:11 - mmengine - INFO - Epoch(train) [38][1920/3757] lr: 1.0000e-02 eta: 15:15:45 time: 0.2438 data_time: 0.0199 memory: 6108 grad_norm: 5.7877 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3155 loss: 2.3155 2022/07/22 23:54:16 - mmengine - INFO - Epoch(train) [38][1940/3757] lr: 1.0000e-02 eta: 15:15:41 time: 0.2540 data_time: 0.0209 memory: 6108 grad_norm: 5.4931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7976 loss: 1.7976 2022/07/22 23:54:20 - mmengine - INFO - Epoch(train) [38][1960/3757] lr: 1.0000e-02 eta: 15:15:36 time: 0.2295 data_time: 0.0176 memory: 6108 grad_norm: 5.7837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0267 loss: 2.0267 2022/07/22 23:54:25 - mmengine - INFO - Epoch(train) [38][1980/3757] lr: 1.0000e-02 eta: 15:15:31 time: 0.2408 data_time: 0.0163 memory: 6108 grad_norm: 5.4353 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0686 loss: 2.0686 2022/07/22 23:54:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:54:30 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 1.0000e-02 eta: 15:15:26 time: 0.2267 data_time: 0.0211 memory: 6108 grad_norm: 5.7308 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1877 loss: 2.1877 2022/07/22 23:54:35 - mmengine - INFO - Epoch(train) [38][2020/3757] lr: 1.0000e-02 eta: 15:15:22 time: 0.2451 data_time: 0.0177 memory: 6108 grad_norm: 5.6590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0069 loss: 2.0069 2022/07/22 23:54:39 - mmengine - INFO - Epoch(train) [38][2040/3757] lr: 1.0000e-02 eta: 15:15:17 time: 0.2214 data_time: 0.0192 memory: 6108 grad_norm: 5.8321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0490 loss: 2.0490 2022/07/22 23:54:44 - mmengine - INFO - Epoch(train) [38][2060/3757] lr: 1.0000e-02 eta: 15:15:13 time: 0.2613 data_time: 0.0168 memory: 6108 grad_norm: 5.6556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0019 loss: 2.0019 2022/07/22 23:54:49 - mmengine - INFO - Epoch(train) [38][2080/3757] lr: 1.0000e-02 eta: 15:15:08 time: 0.2227 data_time: 0.0181 memory: 6108 grad_norm: 5.7056 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9549 loss: 1.9549 2022/07/22 23:54:54 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 1.0000e-02 eta: 15:15:03 time: 0.2307 data_time: 0.0185 memory: 6108 grad_norm: 5.7292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9178 loss: 1.9178 2022/07/22 23:54:58 - mmengine - INFO - Epoch(train) [38][2120/3757] lr: 1.0000e-02 eta: 15:14:59 time: 0.2342 data_time: 0.0271 memory: 6108 grad_norm: 5.6112 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6323 loss: 1.6323 2022/07/22 23:55:03 - mmengine - INFO - Epoch(train) [38][2140/3757] lr: 1.0000e-02 eta: 15:14:54 time: 0.2294 data_time: 0.0172 memory: 6108 grad_norm: 5.5336 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8491 loss: 1.8491 2022/07/22 23:55:07 - mmengine - INFO - Epoch(train) [38][2160/3757] lr: 1.0000e-02 eta: 15:14:49 time: 0.2288 data_time: 0.0177 memory: 6108 grad_norm: 5.6366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8906 loss: 1.8906 2022/07/22 23:55:12 - mmengine - INFO - Epoch(train) [38][2180/3757] lr: 1.0000e-02 eta: 15:14:45 time: 0.2512 data_time: 0.0222 memory: 6108 grad_norm: 5.6858 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9548 loss: 1.9548 2022/07/22 23:55:17 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 1.0000e-02 eta: 15:14:40 time: 0.2395 data_time: 0.0171 memory: 6108 grad_norm: 5.7983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9419 loss: 1.9419 2022/07/22 23:55:22 - mmengine - INFO - Epoch(train) [38][2220/3757] lr: 1.0000e-02 eta: 15:14:36 time: 0.2315 data_time: 0.0234 memory: 6108 grad_norm: 5.7420 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6507 loss: 1.6507 2022/07/22 23:55:26 - mmengine - INFO - Epoch(train) [38][2240/3757] lr: 1.0000e-02 eta: 15:14:31 time: 0.2263 data_time: 0.0210 memory: 6108 grad_norm: 5.6547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7818 loss: 1.7818 2022/07/22 23:55:31 - mmengine - INFO - Epoch(train) [38][2260/3757] lr: 1.0000e-02 eta: 15:14:26 time: 0.2307 data_time: 0.0174 memory: 6108 grad_norm: 5.6504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1000 loss: 2.1000 2022/07/22 23:55:36 - mmengine - INFO - Epoch(train) [38][2280/3757] lr: 1.0000e-02 eta: 15:14:22 time: 0.2558 data_time: 0.0205 memory: 6108 grad_norm: 5.7398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8997 loss: 1.8997 2022/07/22 23:55:41 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 1.0000e-02 eta: 15:14:17 time: 0.2286 data_time: 0.0195 memory: 6108 grad_norm: 5.8531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/07/22 23:55:46 - mmengine - INFO - Epoch(train) [38][2320/3757] lr: 1.0000e-02 eta: 15:14:12 time: 0.2326 data_time: 0.0241 memory: 6108 grad_norm: 5.7112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9979 loss: 1.9979 2022/07/22 23:55:50 - mmengine - INFO - Epoch(train) [38][2340/3757] lr: 1.0000e-02 eta: 15:14:07 time: 0.2296 data_time: 0.0200 memory: 6108 grad_norm: 5.7290 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1132 loss: 2.1132 2022/07/22 23:55:55 - mmengine - INFO - Epoch(train) [38][2360/3757] lr: 1.0000e-02 eta: 15:14:03 time: 0.2341 data_time: 0.0240 memory: 6108 grad_norm: 5.7774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9470 loss: 1.9470 2022/07/22 23:55:59 - mmengine - INFO - Epoch(train) [38][2380/3757] lr: 1.0000e-02 eta: 15:13:58 time: 0.2227 data_time: 0.0169 memory: 6108 grad_norm: 5.7708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9660 loss: 1.9660 2022/07/22 23:56:04 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 1.0000e-02 eta: 15:13:53 time: 0.2280 data_time: 0.0195 memory: 6108 grad_norm: 5.6379 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1551 loss: 2.1551 2022/07/22 23:56:08 - mmengine - INFO - Epoch(train) [38][2420/3757] lr: 1.0000e-02 eta: 15:13:48 time: 0.2260 data_time: 0.0222 memory: 6108 grad_norm: 5.6286 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/07/22 23:56:13 - mmengine - INFO - Epoch(train) [38][2440/3757] lr: 1.0000e-02 eta: 15:13:43 time: 0.2299 data_time: 0.0209 memory: 6108 grad_norm: 5.6659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0407 loss: 2.0407 2022/07/22 23:56:18 - mmengine - INFO - Epoch(train) [38][2460/3757] lr: 1.0000e-02 eta: 15:13:39 time: 0.2416 data_time: 0.0246 memory: 6108 grad_norm: 5.6735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9277 loss: 1.9277 2022/07/22 23:56:22 - mmengine - INFO - Epoch(train) [38][2480/3757] lr: 1.0000e-02 eta: 15:13:34 time: 0.2294 data_time: 0.0259 memory: 6108 grad_norm: 5.7350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9538 loss: 1.9538 2022/07/22 23:56:27 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 1.0000e-02 eta: 15:13:29 time: 0.2284 data_time: 0.0188 memory: 6108 grad_norm: 5.6960 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1865 loss: 2.1865 2022/07/22 23:56:32 - mmengine - INFO - Epoch(train) [38][2520/3757] lr: 1.0000e-02 eta: 15:13:24 time: 0.2368 data_time: 0.0319 memory: 6108 grad_norm: 5.7966 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8744 loss: 1.8744 2022/07/22 23:56:37 - mmengine - INFO - Epoch(train) [38][2540/3757] lr: 1.0000e-02 eta: 15:13:20 time: 0.2516 data_time: 0.0223 memory: 6108 grad_norm: 5.7433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2706 loss: 2.2706 2022/07/22 23:56:41 - mmengine - INFO - Epoch(train) [38][2560/3757] lr: 1.0000e-02 eta: 15:13:15 time: 0.2257 data_time: 0.0220 memory: 6108 grad_norm: 5.7789 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9513 loss: 1.9513 2022/07/22 23:56:46 - mmengine - INFO - Epoch(train) [38][2580/3757] lr: 1.0000e-02 eta: 15:13:10 time: 0.2302 data_time: 0.0172 memory: 6108 grad_norm: 5.8003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/07/22 23:56:50 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 1.0000e-02 eta: 15:13:05 time: 0.2233 data_time: 0.0255 memory: 6108 grad_norm: 5.8006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2208 loss: 2.2208 2022/07/22 23:56:55 - mmengine - INFO - Epoch(train) [38][2620/3757] lr: 1.0000e-02 eta: 15:13:01 time: 0.2514 data_time: 0.0209 memory: 6108 grad_norm: 5.7127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1017 loss: 2.1017 2022/07/22 23:57:00 - mmengine - INFO - Epoch(train) [38][2640/3757] lr: 1.0000e-02 eta: 15:12:56 time: 0.2271 data_time: 0.0232 memory: 6108 grad_norm: 5.7997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9100 loss: 1.9100 2022/07/22 23:57:05 - mmengine - INFO - Epoch(train) [38][2660/3757] lr: 1.0000e-02 eta: 15:12:51 time: 0.2234 data_time: 0.0249 memory: 6108 grad_norm: 5.6314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/07/22 23:57:09 - mmengine - INFO - Epoch(train) [38][2680/3757] lr: 1.0000e-02 eta: 15:12:46 time: 0.2256 data_time: 0.0185 memory: 6108 grad_norm: 5.7498 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8834 loss: 1.8834 2022/07/22 23:57:14 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 1.0000e-02 eta: 15:12:42 time: 0.2275 data_time: 0.0181 memory: 6108 grad_norm: 5.7417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0973 loss: 2.0973 2022/07/22 23:57:18 - mmengine - INFO - Epoch(train) [38][2720/3757] lr: 1.0000e-02 eta: 15:12:37 time: 0.2415 data_time: 0.0251 memory: 6108 grad_norm: 5.7202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9527 loss: 1.9527 2022/07/22 23:57:23 - mmengine - INFO - Epoch(train) [38][2740/3757] lr: 1.0000e-02 eta: 15:12:32 time: 0.2267 data_time: 0.0215 memory: 6108 grad_norm: 5.8504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7199 loss: 1.7199 2022/07/22 23:57:28 - mmengine - INFO - Epoch(train) [38][2760/3757] lr: 1.0000e-02 eta: 15:12:27 time: 0.2320 data_time: 0.0186 memory: 6108 grad_norm: 5.8053 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9271 loss: 1.9271 2022/07/22 23:57:32 - mmengine - INFO - Epoch(train) [38][2780/3757] lr: 1.0000e-02 eta: 15:12:23 time: 0.2387 data_time: 0.0210 memory: 6108 grad_norm: 5.7613 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0467 loss: 2.0467 2022/07/22 23:57:37 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 1.0000e-02 eta: 15:12:19 time: 0.2506 data_time: 0.0178 memory: 6108 grad_norm: 5.5133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0671 loss: 2.0671 2022/07/22 23:57:42 - mmengine - INFO - Epoch(train) [38][2820/3757] lr: 1.0000e-02 eta: 15:12:14 time: 0.2322 data_time: 0.0204 memory: 6108 grad_norm: 5.7467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1928 loss: 2.1928 2022/07/22 23:57:47 - mmengine - INFO - Epoch(train) [38][2840/3757] lr: 1.0000e-02 eta: 15:12:09 time: 0.2272 data_time: 0.0230 memory: 6108 grad_norm: 5.7147 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1038 loss: 2.1038 2022/07/22 23:57:51 - mmengine - INFO - Epoch(train) [38][2860/3757] lr: 1.0000e-02 eta: 15:12:04 time: 0.2306 data_time: 0.0191 memory: 6108 grad_norm: 5.7660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9221 loss: 1.9221 2022/07/22 23:57:56 - mmengine - INFO - Epoch(train) [38][2880/3757] lr: 1.0000e-02 eta: 15:12:00 time: 0.2431 data_time: 0.0223 memory: 6108 grad_norm: 5.6520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7459 loss: 1.7459 2022/07/22 23:58:01 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 1.0000e-02 eta: 15:11:55 time: 0.2296 data_time: 0.0232 memory: 6108 grad_norm: 5.8788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8015 loss: 1.8015 2022/07/22 23:58:05 - mmengine - INFO - Epoch(train) [38][2920/3757] lr: 1.0000e-02 eta: 15:11:50 time: 0.2235 data_time: 0.0229 memory: 6108 grad_norm: 5.6462 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0249 loss: 2.0249 2022/07/22 23:58:10 - mmengine - INFO - Epoch(train) [38][2940/3757] lr: 1.0000e-02 eta: 15:11:45 time: 0.2261 data_time: 0.0231 memory: 6108 grad_norm: 5.7126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9588 loss: 1.9588 2022/07/22 23:58:16 - mmengine - INFO - Epoch(train) [38][2960/3757] lr: 1.0000e-02 eta: 15:11:42 time: 0.2822 data_time: 0.0225 memory: 6108 grad_norm: 5.6646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2948 loss: 2.2948 2022/07/22 23:58:20 - mmengine - INFO - Epoch(train) [38][2980/3757] lr: 1.0000e-02 eta: 15:11:37 time: 0.2145 data_time: 0.0161 memory: 6108 grad_norm: 5.7879 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0848 loss: 2.0848 2022/07/22 23:58:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/22 23:58:24 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 1.0000e-02 eta: 15:11:32 time: 0.2224 data_time: 0.0203 memory: 6108 grad_norm: 5.8529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1723 loss: 2.1723 2022/07/22 23:58:29 - mmengine - INFO - Epoch(train) [38][3020/3757] lr: 1.0000e-02 eta: 15:11:27 time: 0.2286 data_time: 0.0247 memory: 6108 grad_norm: 5.7982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2442 loss: 2.2442 2022/07/22 23:58:33 - mmengine - INFO - Epoch(train) [38][3040/3757] lr: 1.0000e-02 eta: 15:11:22 time: 0.2234 data_time: 0.0197 memory: 6108 grad_norm: 5.8582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0860 loss: 2.0860 2022/07/22 23:58:38 - mmengine - INFO - Epoch(train) [38][3060/3757] lr: 1.0000e-02 eta: 15:11:18 time: 0.2479 data_time: 0.0191 memory: 6108 grad_norm: 5.6998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6108 loss: 1.6108 2022/07/22 23:58:43 - mmengine - INFO - Epoch(train) [38][3080/3757] lr: 1.0000e-02 eta: 15:11:13 time: 0.2463 data_time: 0.0237 memory: 6108 grad_norm: 5.7825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2359 loss: 2.2359 2022/07/22 23:58:48 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 1.0000e-02 eta: 15:11:09 time: 0.2333 data_time: 0.0223 memory: 6108 grad_norm: 5.7932 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9659 loss: 1.9659 2022/07/22 23:58:52 - mmengine - INFO - Epoch(train) [38][3120/3757] lr: 1.0000e-02 eta: 15:11:04 time: 0.2256 data_time: 0.0223 memory: 6108 grad_norm: 5.8104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9580 loss: 1.9580 2022/07/22 23:58:58 - mmengine - INFO - Epoch(train) [38][3140/3757] lr: 1.0000e-02 eta: 15:11:00 time: 0.2654 data_time: 0.0216 memory: 6108 grad_norm: 5.5743 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1147 loss: 2.1147 2022/07/22 23:59:02 - mmengine - INFO - Epoch(train) [38][3160/3757] lr: 1.0000e-02 eta: 15:10:55 time: 0.2263 data_time: 0.0182 memory: 6108 grad_norm: 5.7907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9771 loss: 1.9771 2022/07/22 23:59:07 - mmengine - INFO - Epoch(train) [38][3180/3757] lr: 1.0000e-02 eta: 15:10:50 time: 0.2383 data_time: 0.0275 memory: 6108 grad_norm: 5.7300 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8895 loss: 1.8895 2022/07/22 23:59:12 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 1.0000e-02 eta: 15:10:46 time: 0.2356 data_time: 0.0205 memory: 6108 grad_norm: 5.7520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/07/22 23:59:17 - mmengine - INFO - Epoch(train) [38][3220/3757] lr: 1.0000e-02 eta: 15:10:41 time: 0.2334 data_time: 0.0199 memory: 6108 grad_norm: 5.8642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1043 loss: 2.1043 2022/07/22 23:59:21 - mmengine - INFO - Epoch(train) [38][3240/3757] lr: 1.0000e-02 eta: 15:10:37 time: 0.2419 data_time: 0.0194 memory: 6108 grad_norm: 5.7668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7077 loss: 1.7077 2022/07/22 23:59:26 - mmengine - INFO - Epoch(train) [38][3260/3757] lr: 1.0000e-02 eta: 15:10:32 time: 0.2238 data_time: 0.0235 memory: 6108 grad_norm: 5.6559 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9350 loss: 1.9350 2022/07/22 23:59:30 - mmengine - INFO - Epoch(train) [38][3280/3757] lr: 1.0000e-02 eta: 15:10:27 time: 0.2259 data_time: 0.0211 memory: 6108 grad_norm: 5.7085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0110 loss: 2.0110 2022/07/22 23:59:36 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 1.0000e-02 eta: 15:10:23 time: 0.2555 data_time: 0.0253 memory: 6108 grad_norm: 5.7546 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8332 loss: 1.8332 2022/07/22 23:59:40 - mmengine - INFO - Epoch(train) [38][3320/3757] lr: 1.0000e-02 eta: 15:10:18 time: 0.2264 data_time: 0.0246 memory: 6108 grad_norm: 5.8185 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0470 loss: 2.0470 2022/07/22 23:59:45 - mmengine - INFO - Epoch(train) [38][3340/3757] lr: 1.0000e-02 eta: 15:10:13 time: 0.2351 data_time: 0.0223 memory: 6108 grad_norm: 5.8618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1660 loss: 2.1660 2022/07/22 23:59:49 - mmengine - INFO - Epoch(train) [38][3360/3757] lr: 1.0000e-02 eta: 15:10:08 time: 0.2249 data_time: 0.0190 memory: 6108 grad_norm: 5.6950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7416 loss: 1.7416 2022/07/22 23:59:54 - mmengine - INFO - Epoch(train) [38][3380/3757] lr: 1.0000e-02 eta: 15:10:03 time: 0.2271 data_time: 0.0225 memory: 6108 grad_norm: 6.1439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1448 loss: 2.1448 2022/07/22 23:59:59 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 1.0000e-02 eta: 15:09:59 time: 0.2406 data_time: 0.0209 memory: 6108 grad_norm: 5.8952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1978 loss: 2.1978 2022/07/23 00:00:09 - mmengine - INFO - Epoch(train) [38][3420/3757] lr: 1.0000e-02 eta: 15:10:03 time: 0.5007 data_time: 0.0376 memory: 6108 grad_norm: 5.6866 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8208 loss: 1.8208 2022/07/23 00:00:13 - mmengine - INFO - Epoch(train) [38][3440/3757] lr: 1.0000e-02 eta: 15:09:58 time: 0.2246 data_time: 0.0291 memory: 6108 grad_norm: 5.6221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1106 loss: 2.1106 2022/07/23 00:00:18 - mmengine - INFO - Epoch(train) [38][3460/3757] lr: 1.0000e-02 eta: 15:09:53 time: 0.2327 data_time: 0.0176 memory: 6108 grad_norm: 5.6651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1033 loss: 2.1033 2022/07/23 00:00:22 - mmengine - INFO - Epoch(train) [38][3480/3757] lr: 1.0000e-02 eta: 15:09:48 time: 0.2229 data_time: 0.0166 memory: 6108 grad_norm: 5.6301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8952 loss: 1.8952 2022/07/23 00:00:27 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 1.0000e-02 eta: 15:09:44 time: 0.2562 data_time: 0.0217 memory: 6108 grad_norm: 5.8321 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1131 loss: 2.1131 2022/07/23 00:00:32 - mmengine - INFO - Epoch(train) [38][3520/3757] lr: 1.0000e-02 eta: 15:09:39 time: 0.2263 data_time: 0.0227 memory: 6108 grad_norm: 5.6926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3512 loss: 2.3512 2022/07/23 00:00:37 - mmengine - INFO - Epoch(train) [38][3540/3757] lr: 1.0000e-02 eta: 15:09:34 time: 0.2311 data_time: 0.0191 memory: 6108 grad_norm: 5.5119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/07/23 00:00:42 - mmengine - INFO - Epoch(train) [38][3560/3757] lr: 1.0000e-02 eta: 15:09:30 time: 0.2449 data_time: 0.0449 memory: 6108 grad_norm: 5.7259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2389 loss: 2.2389 2022/07/23 00:00:46 - mmengine - INFO - Epoch(train) [38][3580/3757] lr: 1.0000e-02 eta: 15:09:25 time: 0.2336 data_time: 0.0230 memory: 6108 grad_norm: 5.6297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2120 loss: 2.2120 2022/07/23 00:00:51 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 1.0000e-02 eta: 15:09:21 time: 0.2347 data_time: 0.0314 memory: 6108 grad_norm: 5.7002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7037 loss: 1.7037 2022/07/23 00:00:56 - mmengine - INFO - Epoch(train) [38][3620/3757] lr: 1.0000e-02 eta: 15:09:16 time: 0.2330 data_time: 0.0189 memory: 6108 grad_norm: 5.7269 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9770 loss: 1.9770 2022/07/23 00:01:00 - mmengine - INFO - Epoch(train) [38][3640/3757] lr: 1.0000e-02 eta: 15:09:11 time: 0.2287 data_time: 0.0195 memory: 6108 grad_norm: 5.6420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8642 loss: 1.8642 2022/07/23 00:01:05 - mmengine - INFO - Epoch(train) [38][3660/3757] lr: 1.0000e-02 eta: 15:09:07 time: 0.2367 data_time: 0.0228 memory: 6108 grad_norm: 5.5339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9896 loss: 1.9896 2022/07/23 00:01:09 - mmengine - INFO - Epoch(train) [38][3680/3757] lr: 1.0000e-02 eta: 15:09:02 time: 0.2252 data_time: 0.0208 memory: 6108 grad_norm: 5.6592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6843 loss: 1.6843 2022/07/23 00:01:15 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 1.0000e-02 eta: 15:08:58 time: 0.2589 data_time: 0.0534 memory: 6108 grad_norm: 5.7108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0799 loss: 2.0799 2022/07/23 00:01:19 - mmengine - INFO - Epoch(train) [38][3720/3757] lr: 1.0000e-02 eta: 15:08:53 time: 0.2234 data_time: 0.0186 memory: 6108 grad_norm: 5.5390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8291 loss: 1.8291 2022/07/23 00:01:24 - mmengine - INFO - Epoch(train) [38][3740/3757] lr: 1.0000e-02 eta: 15:08:48 time: 0.2313 data_time: 0.0267 memory: 6108 grad_norm: 5.6365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0899 loss: 2.0899 2022/07/23 00:01:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:01:27 - mmengine - INFO - Epoch(train) [38][3757/3757] lr: 1.0000e-02 eta: 15:08:48 time: 0.2092 data_time: 0.0132 memory: 6108 grad_norm: 5.7533 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.1279 loss: 2.1279 2022/07/23 00:01:33 - mmengine - INFO - Epoch(val) [38][20/310] eta: 0:01:21 time: 0.2804 data_time: 0.2020 memory: 1428 2022/07/23 00:01:36 - mmengine - INFO - Epoch(val) [38][40/310] eta: 0:00:47 time: 0.1754 data_time: 0.0971 memory: 1428 2022/07/23 00:01:41 - mmengine - INFO - Epoch(val) [38][60/310] eta: 0:00:54 time: 0.2163 data_time: 0.1386 memory: 1428 2022/07/23 00:01:45 - mmengine - INFO - Epoch(val) [38][80/310] eta: 0:00:47 time: 0.2069 data_time: 0.1213 memory: 1428 2022/07/23 00:01:49 - mmengine - INFO - Epoch(val) [38][100/310] eta: 0:00:46 time: 0.2213 data_time: 0.1487 memory: 1428 2022/07/23 00:01:54 - mmengine - INFO - Epoch(val) [38][120/310] eta: 0:00:39 time: 0.2104 data_time: 0.1373 memory: 1428 2022/07/23 00:01:58 - mmengine - INFO - Epoch(val) [38][140/310] eta: 0:00:35 time: 0.2117 data_time: 0.1362 memory: 1428 2022/07/23 00:02:02 - mmengine - INFO - Epoch(val) [38][160/310] eta: 0:00:34 time: 0.2285 data_time: 0.1537 memory: 1428 2022/07/23 00:02:07 - mmengine - INFO - Epoch(val) [38][180/310] eta: 0:00:27 time: 0.2087 data_time: 0.1262 memory: 1428 2022/07/23 00:02:11 - mmengine - INFO - Epoch(val) [38][200/310] eta: 0:00:22 time: 0.2047 data_time: 0.1278 memory: 1428 2022/07/23 00:02:16 - mmengine - INFO - Epoch(val) [38][220/310] eta: 0:00:22 time: 0.2447 data_time: 0.1701 memory: 1428 2022/07/23 00:02:19 - mmengine - INFO - Epoch(val) [38][240/310] eta: 0:00:12 time: 0.1834 data_time: 0.1071 memory: 1428 2022/07/23 00:02:24 - mmengine - INFO - Epoch(val) [38][260/310] eta: 0:00:12 time: 0.2485 data_time: 0.1754 memory: 1428 2022/07/23 00:02:28 - mmengine - INFO - Epoch(val) [38][280/310] eta: 0:00:05 time: 0.1850 data_time: 0.0999 memory: 1428 2022/07/23 00:02:32 - mmengine - INFO - Epoch(val) [38][300/310] eta: 0:00:02 time: 0.2199 data_time: 0.1491 memory: 1428 2022/07/23 00:02:35 - mmengine - INFO - Epoch(val) [38][310/310] acc/top1: 0.5626 acc/top5: 0.8044 acc/mean1: 0.5626 2022/07/23 00:02:42 - mmengine - INFO - Epoch(train) [39][20/3757] lr: 1.0000e-02 eta: 15:08:36 time: 0.3420 data_time: 0.1010 memory: 6108 grad_norm: 5.5586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9409 loss: 1.9409 2022/07/23 00:02:47 - mmengine - INFO - Epoch(train) [39][40/3757] lr: 1.0000e-02 eta: 15:08:31 time: 0.2241 data_time: 0.0187 memory: 6108 grad_norm: 5.5672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0474 loss: 2.0474 2022/07/23 00:02:52 - mmengine - INFO - Epoch(train) [39][60/3757] lr: 1.0000e-02 eta: 15:08:28 time: 0.2665 data_time: 0.0668 memory: 6108 grad_norm: 5.5828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7670 loss: 1.7670 2022/07/23 00:02:57 - mmengine - INFO - Epoch(train) [39][80/3757] lr: 1.0000e-02 eta: 15:08:23 time: 0.2346 data_time: 0.0195 memory: 6108 grad_norm: 5.9487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9636 loss: 1.9636 2022/07/23 00:03:02 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 1.0000e-02 eta: 15:08:18 time: 0.2273 data_time: 0.0266 memory: 6108 grad_norm: 5.7986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2909 loss: 2.2909 2022/07/23 00:03:06 - mmengine - INFO - Epoch(train) [39][120/3757] lr: 1.0000e-02 eta: 15:08:13 time: 0.2269 data_time: 0.0177 memory: 6108 grad_norm: 5.5676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7771 loss: 1.7771 2022/07/23 00:03:11 - mmengine - INFO - Epoch(train) [39][140/3757] lr: 1.0000e-02 eta: 15:08:08 time: 0.2233 data_time: 0.0191 memory: 6108 grad_norm: 5.6219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9712 loss: 1.9712 2022/07/23 00:03:15 - mmengine - INFO - Epoch(train) [39][160/3757] lr: 1.0000e-02 eta: 15:08:04 time: 0.2430 data_time: 0.0184 memory: 6108 grad_norm: 5.4531 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8017 loss: 1.8017 2022/07/23 00:03:20 - mmengine - INFO - Epoch(train) [39][180/3757] lr: 1.0000e-02 eta: 15:07:59 time: 0.2280 data_time: 0.0267 memory: 6108 grad_norm: 5.7090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0091 loss: 2.0091 2022/07/23 00:03:25 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 1.0000e-02 eta: 15:07:54 time: 0.2406 data_time: 0.0215 memory: 6108 grad_norm: 5.7432 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0892 loss: 2.0892 2022/07/23 00:03:29 - mmengine - INFO - Epoch(train) [39][220/3757] lr: 1.0000e-02 eta: 15:07:50 time: 0.2266 data_time: 0.0242 memory: 6108 grad_norm: 5.6359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0770 loss: 2.0770 2022/07/23 00:03:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:03:34 - mmengine - INFO - Epoch(train) [39][240/3757] lr: 1.0000e-02 eta: 15:07:45 time: 0.2390 data_time: 0.0188 memory: 6108 grad_norm: 5.7552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0342 loss: 2.0342 2022/07/23 00:03:39 - mmengine - INFO - Epoch(train) [39][260/3757] lr: 1.0000e-02 eta: 15:07:40 time: 0.2386 data_time: 0.0190 memory: 6108 grad_norm: 5.6566 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9593 loss: 1.9593 2022/07/23 00:03:43 - mmengine - INFO - Epoch(train) [39][280/3757] lr: 1.0000e-02 eta: 15:07:35 time: 0.2254 data_time: 0.0205 memory: 6108 grad_norm: 5.6542 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0084 loss: 2.0084 2022/07/23 00:03:48 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 1.0000e-02 eta: 15:07:31 time: 0.2288 data_time: 0.0159 memory: 6108 grad_norm: 5.5467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6640 loss: 1.6640 2022/07/23 00:03:53 - mmengine - INFO - Epoch(train) [39][320/3757] lr: 1.0000e-02 eta: 15:07:26 time: 0.2250 data_time: 0.0179 memory: 6108 grad_norm: 5.5119 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9086 loss: 1.9086 2022/07/23 00:03:58 - mmengine - INFO - Epoch(train) [39][340/3757] lr: 1.0000e-02 eta: 15:07:22 time: 0.2517 data_time: 0.0286 memory: 6108 grad_norm: 5.6084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8736 loss: 1.8736 2022/07/23 00:04:02 - mmengine - INFO - Epoch(train) [39][360/3757] lr: 1.0000e-02 eta: 15:07:17 time: 0.2249 data_time: 0.0219 memory: 6108 grad_norm: 5.6811 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2713 loss: 2.2713 2022/07/23 00:04:07 - mmengine - INFO - Epoch(train) [39][380/3757] lr: 1.0000e-02 eta: 15:07:12 time: 0.2279 data_time: 0.0191 memory: 6108 grad_norm: 5.7657 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6878 loss: 1.6878 2022/07/23 00:04:11 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 1.0000e-02 eta: 15:07:07 time: 0.2268 data_time: 0.0232 memory: 6108 grad_norm: 5.6582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8665 loss: 1.8665 2022/07/23 00:04:17 - mmengine - INFO - Epoch(train) [39][420/3757] lr: 1.0000e-02 eta: 15:07:04 time: 0.2811 data_time: 0.0159 memory: 6108 grad_norm: 5.8537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/07/23 00:04:21 - mmengine - INFO - Epoch(train) [39][440/3757] lr: 1.0000e-02 eta: 15:06:59 time: 0.2267 data_time: 0.0216 memory: 6108 grad_norm: 5.8049 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0765 loss: 2.0765 2022/07/23 00:04:26 - mmengine - INFO - Epoch(train) [39][460/3757] lr: 1.0000e-02 eta: 15:06:54 time: 0.2390 data_time: 0.0158 memory: 6108 grad_norm: 5.6498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9196 loss: 1.9196 2022/07/23 00:04:31 - mmengine - INFO - Epoch(train) [39][480/3757] lr: 1.0000e-02 eta: 15:06:49 time: 0.2252 data_time: 0.0167 memory: 6108 grad_norm: 5.7296 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2051 loss: 2.2051 2022/07/23 00:04:36 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 1.0000e-02 eta: 15:06:45 time: 0.2594 data_time: 0.0246 memory: 6108 grad_norm: 5.6124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8753 loss: 1.8753 2022/07/23 00:04:41 - mmengine - INFO - Epoch(train) [39][520/3757] lr: 1.0000e-02 eta: 15:06:40 time: 0.2261 data_time: 0.0227 memory: 6108 grad_norm: 5.8770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9787 loss: 1.9787 2022/07/23 00:04:45 - mmengine - INFO - Epoch(train) [39][540/3757] lr: 1.0000e-02 eta: 15:06:36 time: 0.2338 data_time: 0.0236 memory: 6108 grad_norm: 5.6628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9721 loss: 1.9721 2022/07/23 00:04:50 - mmengine - INFO - Epoch(train) [39][560/3757] lr: 1.0000e-02 eta: 15:06:31 time: 0.2341 data_time: 0.0219 memory: 6108 grad_norm: 5.9297 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8014 loss: 1.8014 2022/07/23 00:04:55 - mmengine - INFO - Epoch(train) [39][580/3757] lr: 1.0000e-02 eta: 15:06:26 time: 0.2351 data_time: 0.0180 memory: 6108 grad_norm: 5.8751 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8721 loss: 1.8721 2022/07/23 00:05:00 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 1.0000e-02 eta: 15:06:23 time: 0.2796 data_time: 0.0187 memory: 6108 grad_norm: 5.8051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9822 loss: 1.9822 2022/07/23 00:05:05 - mmengine - INFO - Epoch(train) [39][620/3757] lr: 1.0000e-02 eta: 15:06:18 time: 0.2298 data_time: 0.0240 memory: 6108 grad_norm: 5.6833 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0091 loss: 2.0091 2022/07/23 00:05:10 - mmengine - INFO - Epoch(train) [39][640/3757] lr: 1.0000e-02 eta: 15:06:14 time: 0.2347 data_time: 0.0214 memory: 6108 grad_norm: 5.7186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8298 loss: 1.8298 2022/07/23 00:05:14 - mmengine - INFO - Epoch(train) [39][660/3757] lr: 1.0000e-02 eta: 15:06:09 time: 0.2285 data_time: 0.0207 memory: 6108 grad_norm: 5.8355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/07/23 00:05:19 - mmengine - INFO - Epoch(train) [39][680/3757] lr: 1.0000e-02 eta: 15:06:04 time: 0.2240 data_time: 0.0239 memory: 6108 grad_norm: 5.6103 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1746 loss: 2.1746 2022/07/23 00:05:23 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 1.0000e-02 eta: 15:05:59 time: 0.2420 data_time: 0.0255 memory: 6108 grad_norm: 5.7640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1653 loss: 2.1653 2022/07/23 00:05:28 - mmengine - INFO - Epoch(train) [39][720/3757] lr: 1.0000e-02 eta: 15:05:55 time: 0.2408 data_time: 0.0173 memory: 6108 grad_norm: 5.6970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1825 loss: 2.1825 2022/07/23 00:05:33 - mmengine - INFO - Epoch(train) [39][740/3757] lr: 1.0000e-02 eta: 15:05:50 time: 0.2294 data_time: 0.0307 memory: 6108 grad_norm: 5.5516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0114 loss: 2.0114 2022/07/23 00:05:38 - mmengine - INFO - Epoch(train) [39][760/3757] lr: 1.0000e-02 eta: 15:05:45 time: 0.2312 data_time: 0.0263 memory: 6108 grad_norm: 5.6692 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9951 loss: 1.9951 2022/07/23 00:05:42 - mmengine - INFO - Epoch(train) [39][780/3757] lr: 1.0000e-02 eta: 15:05:41 time: 0.2294 data_time: 0.0243 memory: 6108 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6988 loss: 1.6988 2022/07/23 00:05:47 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 1.0000e-02 eta: 15:05:36 time: 0.2432 data_time: 0.0252 memory: 6108 grad_norm: 5.6993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0846 loss: 2.0846 2022/07/23 00:05:52 - mmengine - INFO - Epoch(train) [39][820/3757] lr: 1.0000e-02 eta: 15:05:31 time: 0.2253 data_time: 0.0201 memory: 6108 grad_norm: 5.6400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8380 loss: 1.8380 2022/07/23 00:05:57 - mmengine - INFO - Epoch(train) [39][840/3757] lr: 1.0000e-02 eta: 15:05:28 time: 0.2720 data_time: 0.0264 memory: 6108 grad_norm: 5.7988 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0208 loss: 2.0208 2022/07/23 00:06:02 - mmengine - INFO - Epoch(train) [39][860/3757] lr: 1.0000e-02 eta: 15:05:23 time: 0.2246 data_time: 0.0208 memory: 6108 grad_norm: 5.6842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9352 loss: 1.9352 2022/07/23 00:06:07 - mmengine - INFO - Epoch(train) [39][880/3757] lr: 1.0000e-02 eta: 15:05:19 time: 0.2516 data_time: 0.0380 memory: 6108 grad_norm: 5.9157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3041 loss: 2.3041 2022/07/23 00:06:11 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 1.0000e-02 eta: 15:05:14 time: 0.2220 data_time: 0.0178 memory: 6108 grad_norm: 5.6961 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0423 loss: 2.0423 2022/07/23 00:06:16 - mmengine - INFO - Epoch(train) [39][920/3757] lr: 1.0000e-02 eta: 15:05:09 time: 0.2319 data_time: 0.0247 memory: 6108 grad_norm: 5.7631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7683 loss: 1.7683 2022/07/23 00:06:20 - mmengine - INFO - Epoch(train) [39][940/3757] lr: 1.0000e-02 eta: 15:05:04 time: 0.2267 data_time: 0.0201 memory: 6108 grad_norm: 5.8551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0873 loss: 2.0873 2022/07/23 00:06:26 - mmengine - INFO - Epoch(train) [39][960/3757] lr: 1.0000e-02 eta: 15:05:00 time: 0.2713 data_time: 0.0194 memory: 6108 grad_norm: 5.7378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7800 loss: 1.7800 2022/07/23 00:06:31 - mmengine - INFO - Epoch(train) [39][980/3757] lr: 1.0000e-02 eta: 15:04:56 time: 0.2421 data_time: 0.0193 memory: 6108 grad_norm: 5.9224 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1184 loss: 2.1184 2022/07/23 00:06:35 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 1.0000e-02 eta: 15:04:52 time: 0.2479 data_time: 0.0194 memory: 6108 grad_norm: 5.7188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9486 loss: 1.9486 2022/07/23 00:06:40 - mmengine - INFO - Epoch(train) [39][1020/3757] lr: 1.0000e-02 eta: 15:04:47 time: 0.2258 data_time: 0.0210 memory: 6108 grad_norm: 5.6391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8982 loss: 1.8982 2022/07/23 00:06:45 - mmengine - INFO - Epoch(train) [39][1040/3757] lr: 1.0000e-02 eta: 15:04:42 time: 0.2274 data_time: 0.0205 memory: 6108 grad_norm: 5.7308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3031 loss: 2.3031 2022/07/23 00:06:49 - mmengine - INFO - Epoch(train) [39][1060/3757] lr: 1.0000e-02 eta: 15:04:37 time: 0.2283 data_time: 0.0180 memory: 6108 grad_norm: 5.5756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0692 loss: 2.0692 2022/07/23 00:06:54 - mmengine - INFO - Epoch(train) [39][1080/3757] lr: 1.0000e-02 eta: 15:04:33 time: 0.2529 data_time: 0.0171 memory: 6108 grad_norm: 5.7360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3289 loss: 2.3289 2022/07/23 00:06:59 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 1.0000e-02 eta: 15:04:28 time: 0.2345 data_time: 0.0207 memory: 6108 grad_norm: 5.6398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0509 loss: 2.0509 2022/07/23 00:07:04 - mmengine - INFO - Epoch(train) [39][1120/3757] lr: 1.0000e-02 eta: 15:04:24 time: 0.2374 data_time: 0.0173 memory: 6108 grad_norm: 5.6278 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7189 loss: 1.7189 2022/07/23 00:07:08 - mmengine - INFO - Epoch(train) [39][1140/3757] lr: 1.0000e-02 eta: 15:04:19 time: 0.2315 data_time: 0.0228 memory: 6108 grad_norm: 5.7134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9303 loss: 1.9303 2022/07/23 00:07:13 - mmengine - INFO - Epoch(train) [39][1160/3757] lr: 1.0000e-02 eta: 15:04:14 time: 0.2284 data_time: 0.0238 memory: 6108 grad_norm: 5.8408 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9805 loss: 1.9805 2022/07/23 00:07:18 - mmengine - INFO - Epoch(train) [39][1180/3757] lr: 1.0000e-02 eta: 15:04:09 time: 0.2335 data_time: 0.0198 memory: 6108 grad_norm: 5.5561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8326 loss: 1.8326 2022/07/23 00:07:22 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 1.0000e-02 eta: 15:04:04 time: 0.2240 data_time: 0.0224 memory: 6108 grad_norm: 5.7597 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9461 loss: 1.9461 2022/07/23 00:07:27 - mmengine - INFO - Epoch(train) [39][1220/3757] lr: 1.0000e-02 eta: 15:04:00 time: 0.2342 data_time: 0.0245 memory: 6108 grad_norm: 5.6508 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1904 loss: 2.1904 2022/07/23 00:07:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:07:31 - mmengine - INFO - Epoch(train) [39][1240/3757] lr: 1.0000e-02 eta: 15:03:55 time: 0.2239 data_time: 0.0210 memory: 6108 grad_norm: 5.6359 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0514 loss: 2.0514 2022/07/23 00:07:36 - mmengine - INFO - Epoch(train) [39][1260/3757] lr: 1.0000e-02 eta: 15:03:50 time: 0.2282 data_time: 0.0212 memory: 6108 grad_norm: 5.6954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8564 loss: 1.8564 2022/07/23 00:07:40 - mmengine - INFO - Epoch(train) [39][1280/3757] lr: 1.0000e-02 eta: 15:03:45 time: 0.2268 data_time: 0.0236 memory: 6108 grad_norm: 5.8098 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1231 loss: 2.1231 2022/07/23 00:07:45 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 1.0000e-02 eta: 15:03:40 time: 0.2427 data_time: 0.0337 memory: 6108 grad_norm: 5.6192 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8054 loss: 1.8054 2022/07/23 00:07:50 - mmengine - INFO - Epoch(train) [39][1320/3757] lr: 1.0000e-02 eta: 15:03:36 time: 0.2503 data_time: 0.0547 memory: 6108 grad_norm: 5.7461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/07/23 00:07:55 - mmengine - INFO - Epoch(train) [39][1340/3757] lr: 1.0000e-02 eta: 15:03:32 time: 0.2306 data_time: 0.0235 memory: 6108 grad_norm: 6.1182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2679 loss: 2.2679 2022/07/23 00:07:59 - mmengine - INFO - Epoch(train) [39][1360/3757] lr: 1.0000e-02 eta: 15:03:27 time: 0.2272 data_time: 0.0246 memory: 6108 grad_norm: 5.8576 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0374 loss: 2.0374 2022/07/23 00:08:04 - mmengine - INFO - Epoch(train) [39][1380/3757] lr: 1.0000e-02 eta: 15:03:22 time: 0.2269 data_time: 0.0231 memory: 6108 grad_norm: 5.5740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8555 loss: 1.8555 2022/07/23 00:08:09 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 1.0000e-02 eta: 15:03:17 time: 0.2399 data_time: 0.0281 memory: 6108 grad_norm: 5.8441 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6672 loss: 1.6672 2022/07/23 00:08:13 - mmengine - INFO - Epoch(train) [39][1420/3757] lr: 1.0000e-02 eta: 15:03:12 time: 0.2230 data_time: 0.0201 memory: 6108 grad_norm: 5.5829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8987 loss: 1.8987 2022/07/23 00:08:18 - mmengine - INFO - Epoch(train) [39][1440/3757] lr: 1.0000e-02 eta: 15:03:08 time: 0.2423 data_time: 0.0206 memory: 6108 grad_norm: 5.9194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1092 loss: 2.1092 2022/07/23 00:08:23 - mmengine - INFO - Epoch(train) [39][1460/3757] lr: 1.0000e-02 eta: 15:03:03 time: 0.2258 data_time: 0.0285 memory: 6108 grad_norm: 5.7320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9577 loss: 1.9577 2022/07/23 00:08:28 - mmengine - INFO - Epoch(train) [39][1480/3757] lr: 1.0000e-02 eta: 15:02:59 time: 0.2608 data_time: 0.0251 memory: 6108 grad_norm: 5.7838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8140 loss: 1.8140 2022/07/23 00:08:32 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 1.0000e-02 eta: 15:02:54 time: 0.2201 data_time: 0.0194 memory: 6108 grad_norm: 5.6459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7974 loss: 1.7974 2022/07/23 00:08:37 - mmengine - INFO - Epoch(train) [39][1520/3757] lr: 1.0000e-02 eta: 15:02:49 time: 0.2344 data_time: 0.0253 memory: 6108 grad_norm: 5.7329 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7394 loss: 1.7394 2022/07/23 00:08:42 - mmengine - INFO - Epoch(train) [39][1540/3757] lr: 1.0000e-02 eta: 15:02:44 time: 0.2245 data_time: 0.0210 memory: 6108 grad_norm: 5.7063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9923 loss: 1.9923 2022/07/23 00:08:47 - mmengine - INFO - Epoch(train) [39][1560/3757] lr: 1.0000e-02 eta: 15:02:40 time: 0.2495 data_time: 0.0224 memory: 6108 grad_norm: 5.5631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8969 loss: 1.8969 2022/07/23 00:08:51 - mmengine - INFO - Epoch(train) [39][1580/3757] lr: 1.0000e-02 eta: 15:02:35 time: 0.2251 data_time: 0.0259 memory: 6108 grad_norm: 5.7851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6275 loss: 1.6275 2022/07/23 00:08:56 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 1.0000e-02 eta: 15:02:30 time: 0.2265 data_time: 0.0243 memory: 6108 grad_norm: 5.7252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0147 loss: 2.0147 2022/07/23 00:09:00 - mmengine - INFO - Epoch(train) [39][1620/3757] lr: 1.0000e-02 eta: 15:02:26 time: 0.2391 data_time: 0.0374 memory: 6108 grad_norm: 5.7607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9371 loss: 1.9371 2022/07/23 00:09:05 - mmengine - INFO - Epoch(train) [39][1640/3757] lr: 1.0000e-02 eta: 15:02:20 time: 0.2209 data_time: 0.0200 memory: 6108 grad_norm: 5.4080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6851 loss: 1.6851 2022/07/23 00:09:10 - mmengine - INFO - Epoch(train) [39][1660/3757] lr: 1.0000e-02 eta: 15:02:16 time: 0.2558 data_time: 0.0184 memory: 6108 grad_norm: 5.7087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0537 loss: 2.0537 2022/07/23 00:09:15 - mmengine - INFO - Epoch(train) [39][1680/3757] lr: 1.0000e-02 eta: 15:02:12 time: 0.2270 data_time: 0.0205 memory: 6108 grad_norm: 5.7856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9725 loss: 1.9725 2022/07/23 00:09:19 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 1.0000e-02 eta: 15:02:07 time: 0.2387 data_time: 0.0226 memory: 6108 grad_norm: 5.7112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0285 loss: 2.0285 2022/07/23 00:09:24 - mmengine - INFO - Epoch(train) [39][1720/3757] lr: 1.0000e-02 eta: 15:02:02 time: 0.2243 data_time: 0.0218 memory: 6108 grad_norm: 5.8952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8278 loss: 1.8278 2022/07/23 00:09:29 - mmengine - INFO - Epoch(train) [39][1740/3757] lr: 1.0000e-02 eta: 15:01:57 time: 0.2353 data_time: 0.0218 memory: 6108 grad_norm: 5.6675 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8721 loss: 1.8721 2022/07/23 00:09:33 - mmengine - INFO - Epoch(train) [39][1760/3757] lr: 1.0000e-02 eta: 15:01:53 time: 0.2440 data_time: 0.0244 memory: 6108 grad_norm: 5.9570 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3406 loss: 2.3406 2022/07/23 00:09:38 - mmengine - INFO - Epoch(train) [39][1780/3757] lr: 1.0000e-02 eta: 15:01:48 time: 0.2280 data_time: 0.0246 memory: 6108 grad_norm: 5.7101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/07/23 00:09:43 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 1.0000e-02 eta: 15:01:44 time: 0.2370 data_time: 0.0264 memory: 6108 grad_norm: 5.7071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0834 loss: 2.0834 2022/07/23 00:09:48 - mmengine - INFO - Epoch(train) [39][1820/3757] lr: 1.0000e-02 eta: 15:01:39 time: 0.2440 data_time: 0.0249 memory: 6108 grad_norm: 5.7806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9347 loss: 1.9347 2022/07/23 00:09:52 - mmengine - INFO - Epoch(train) [39][1840/3757] lr: 1.0000e-02 eta: 15:01:34 time: 0.2247 data_time: 0.0177 memory: 6108 grad_norm: 5.8609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7437 loss: 1.7437 2022/07/23 00:09:57 - mmengine - INFO - Epoch(train) [39][1860/3757] lr: 1.0000e-02 eta: 15:01:30 time: 0.2356 data_time: 0.0309 memory: 6108 grad_norm: 5.7832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7171 loss: 1.7171 2022/07/23 00:10:02 - mmengine - INFO - Epoch(train) [39][1880/3757] lr: 1.0000e-02 eta: 15:01:25 time: 0.2287 data_time: 0.0265 memory: 6108 grad_norm: 5.7946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7842 loss: 1.7842 2022/07/23 00:10:07 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 1.0000e-02 eta: 15:01:21 time: 0.2530 data_time: 0.0287 memory: 6108 grad_norm: 5.6821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0334 loss: 2.0334 2022/07/23 00:10:11 - mmengine - INFO - Epoch(train) [39][1920/3757] lr: 1.0000e-02 eta: 15:01:16 time: 0.2240 data_time: 0.0203 memory: 6108 grad_norm: 5.7038 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9878 loss: 1.9878 2022/07/23 00:10:16 - mmengine - INFO - Epoch(train) [39][1940/3757] lr: 1.0000e-02 eta: 15:01:11 time: 0.2287 data_time: 0.0212 memory: 6108 grad_norm: 5.8380 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6969 loss: 1.6969 2022/07/23 00:10:21 - mmengine - INFO - Epoch(train) [39][1960/3757] lr: 1.0000e-02 eta: 15:01:07 time: 0.2500 data_time: 0.0208 memory: 6108 grad_norm: 5.7747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6825 loss: 1.6825 2022/07/23 00:10:26 - mmengine - INFO - Epoch(train) [39][1980/3757] lr: 1.0000e-02 eta: 15:01:02 time: 0.2410 data_time: 0.0204 memory: 6108 grad_norm: 5.7559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9634 loss: 1.9634 2022/07/23 00:10:30 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 1.0000e-02 eta: 15:00:57 time: 0.2288 data_time: 0.0316 memory: 6108 grad_norm: 5.7530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3138 loss: 2.3138 2022/07/23 00:10:35 - mmengine - INFO - Epoch(train) [39][2020/3757] lr: 1.0000e-02 eta: 15:00:52 time: 0.2251 data_time: 0.0204 memory: 6108 grad_norm: 5.6969 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8693 loss: 1.8693 2022/07/23 00:10:39 - mmengine - INFO - Epoch(train) [39][2040/3757] lr: 1.0000e-02 eta: 15:00:48 time: 0.2299 data_time: 0.0202 memory: 6108 grad_norm: 5.6499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1090 loss: 2.1090 2022/07/23 00:10:44 - mmengine - INFO - Epoch(train) [39][2060/3757] lr: 1.0000e-02 eta: 15:00:43 time: 0.2297 data_time: 0.0259 memory: 6108 grad_norm: 5.6491 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.8686 loss: 1.8686 2022/07/23 00:10:49 - mmengine - INFO - Epoch(train) [39][2080/3757] lr: 1.0000e-02 eta: 15:00:39 time: 0.2608 data_time: 0.0157 memory: 6108 grad_norm: 5.7358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7941 loss: 1.7941 2022/07/23 00:10:54 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 1.0000e-02 eta: 15:00:34 time: 0.2232 data_time: 0.0210 memory: 6108 grad_norm: 5.8016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1616 loss: 2.1616 2022/07/23 00:10:58 - mmengine - INFO - Epoch(train) [39][2120/3757] lr: 1.0000e-02 eta: 15:00:29 time: 0.2313 data_time: 0.0209 memory: 6108 grad_norm: 5.6764 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9083 loss: 1.9083 2022/07/23 00:11:03 - mmengine - INFO - Epoch(train) [39][2140/3757] lr: 1.0000e-02 eta: 15:00:24 time: 0.2259 data_time: 0.0193 memory: 6108 grad_norm: 5.7540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8497 loss: 1.8497 2022/07/23 00:11:08 - mmengine - INFO - Epoch(train) [39][2160/3757] lr: 1.0000e-02 eta: 15:00:20 time: 0.2631 data_time: 0.0237 memory: 6108 grad_norm: 5.6405 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2368 loss: 2.2368 2022/07/23 00:11:13 - mmengine - INFO - Epoch(train) [39][2180/3757] lr: 1.0000e-02 eta: 15:00:15 time: 0.2257 data_time: 0.0271 memory: 6108 grad_norm: 5.8013 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9530 loss: 1.9530 2022/07/23 00:11:17 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 1.0000e-02 eta: 15:00:11 time: 0.2274 data_time: 0.0195 memory: 6108 grad_norm: 5.8220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8603 loss: 1.8603 2022/07/23 00:11:22 - mmengine - INFO - Epoch(train) [39][2220/3757] lr: 1.0000e-02 eta: 15:00:06 time: 0.2329 data_time: 0.0236 memory: 6108 grad_norm: 5.8249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2450 loss: 2.2450 2022/07/23 00:11:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:11:27 - mmengine - INFO - Epoch(train) [39][2240/3757] lr: 1.0000e-02 eta: 15:00:02 time: 0.2475 data_time: 0.0207 memory: 6108 grad_norm: 5.8712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0973 loss: 2.0973 2022/07/23 00:11:31 - mmengine - INFO - Epoch(train) [39][2260/3757] lr: 1.0000e-02 eta: 14:59:57 time: 0.2222 data_time: 0.0234 memory: 6108 grad_norm: 5.7602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0127 loss: 2.0127 2022/07/23 00:11:36 - mmengine - INFO - Epoch(train) [39][2280/3757] lr: 1.0000e-02 eta: 14:59:52 time: 0.2253 data_time: 0.0182 memory: 6108 grad_norm: 5.5390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1472 loss: 2.1472 2022/07/23 00:11:40 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 1.0000e-02 eta: 14:59:47 time: 0.2238 data_time: 0.0222 memory: 6108 grad_norm: 5.7294 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0354 loss: 2.0354 2022/07/23 00:11:46 - mmengine - INFO - Epoch(train) [39][2320/3757] lr: 1.0000e-02 eta: 14:59:43 time: 0.2667 data_time: 0.0180 memory: 6108 grad_norm: 5.4579 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9714 loss: 1.9714 2022/07/23 00:11:51 - mmengine - INFO - Epoch(train) [39][2340/3757] lr: 1.0000e-02 eta: 14:59:39 time: 0.2593 data_time: 0.0211 memory: 6108 grad_norm: 5.7122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0585 loss: 2.0585 2022/07/23 00:11:55 - mmengine - INFO - Epoch(train) [39][2360/3757] lr: 1.0000e-02 eta: 14:59:34 time: 0.2257 data_time: 0.0211 memory: 6108 grad_norm: 5.6735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8386 loss: 1.8386 2022/07/23 00:12:00 - mmengine - INFO - Epoch(train) [39][2380/3757] lr: 1.0000e-02 eta: 14:59:30 time: 0.2427 data_time: 0.0390 memory: 6108 grad_norm: 5.7888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8428 loss: 1.8428 2022/07/23 00:12:05 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 1.0000e-02 eta: 14:59:25 time: 0.2254 data_time: 0.0197 memory: 6108 grad_norm: 5.4701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8872 loss: 1.8872 2022/07/23 00:12:10 - mmengine - INFO - Epoch(train) [39][2420/3757] lr: 1.0000e-02 eta: 14:59:20 time: 0.2422 data_time: 0.0277 memory: 6108 grad_norm: 5.6048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0847 loss: 2.0847 2022/07/23 00:12:14 - mmengine - INFO - Epoch(train) [39][2440/3757] lr: 1.0000e-02 eta: 14:59:15 time: 0.2258 data_time: 0.0257 memory: 6108 grad_norm: 5.7264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9685 loss: 1.9685 2022/07/23 00:12:19 - mmengine - INFO - Epoch(train) [39][2460/3757] lr: 1.0000e-02 eta: 14:59:11 time: 0.2341 data_time: 0.0253 memory: 6108 grad_norm: 5.6431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/07/23 00:12:23 - mmengine - INFO - Epoch(train) [39][2480/3757] lr: 1.0000e-02 eta: 14:59:06 time: 0.2279 data_time: 0.0243 memory: 6108 grad_norm: 5.6059 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3312 loss: 2.3312 2022/07/23 00:12:28 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 1.0000e-02 eta: 14:59:02 time: 0.2571 data_time: 0.0163 memory: 6108 grad_norm: 5.8259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1138 loss: 2.1138 2022/07/23 00:12:33 - mmengine - INFO - Epoch(train) [39][2520/3757] lr: 1.0000e-02 eta: 14:58:57 time: 0.2255 data_time: 0.0229 memory: 6108 grad_norm: 5.6009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9788 loss: 1.9788 2022/07/23 00:12:38 - mmengine - INFO - Epoch(train) [39][2540/3757] lr: 1.0000e-02 eta: 14:58:52 time: 0.2336 data_time: 0.0290 memory: 6108 grad_norm: 5.7290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9137 loss: 1.9137 2022/07/23 00:12:42 - mmengine - INFO - Epoch(train) [39][2560/3757] lr: 1.0000e-02 eta: 14:58:47 time: 0.2254 data_time: 0.0193 memory: 6108 grad_norm: 5.9275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0222 loss: 2.0222 2022/07/23 00:12:47 - mmengine - INFO - Epoch(train) [39][2580/3757] lr: 1.0000e-02 eta: 14:58:43 time: 0.2348 data_time: 0.0185 memory: 6108 grad_norm: 5.7357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1632 loss: 2.1632 2022/07/23 00:12:52 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 1.0000e-02 eta: 14:58:38 time: 0.2512 data_time: 0.0177 memory: 6108 grad_norm: 5.7699 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0454 loss: 2.0454 2022/07/23 00:12:57 - mmengine - INFO - Epoch(train) [39][2620/3757] lr: 1.0000e-02 eta: 14:58:34 time: 0.2515 data_time: 0.0170 memory: 6108 grad_norm: 5.7471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8352 loss: 1.8352 2022/07/23 00:13:02 - mmengine - INFO - Epoch(train) [39][2640/3757] lr: 1.0000e-02 eta: 14:58:29 time: 0.2255 data_time: 0.0232 memory: 6108 grad_norm: 5.6534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0833 loss: 2.0833 2022/07/23 00:13:06 - mmengine - INFO - Epoch(train) [39][2660/3757] lr: 1.0000e-02 eta: 14:58:25 time: 0.2396 data_time: 0.0199 memory: 6108 grad_norm: 5.7495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/07/23 00:13:11 - mmengine - INFO - Epoch(train) [39][2680/3757] lr: 1.0000e-02 eta: 14:58:20 time: 0.2236 data_time: 0.0170 memory: 6108 grad_norm: 5.6834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2503 loss: 2.2503 2022/07/23 00:13:15 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 1.0000e-02 eta: 14:58:15 time: 0.2275 data_time: 0.0216 memory: 6108 grad_norm: 5.8081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0173 loss: 2.0173 2022/07/23 00:13:20 - mmengine - INFO - Epoch(train) [39][2720/3757] lr: 1.0000e-02 eta: 14:58:10 time: 0.2239 data_time: 0.0200 memory: 6108 grad_norm: 5.8071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0229 loss: 2.0229 2022/07/23 00:13:24 - mmengine - INFO - Epoch(train) [39][2740/3757] lr: 1.0000e-02 eta: 14:58:05 time: 0.2243 data_time: 0.0198 memory: 6108 grad_norm: 5.6314 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9951 loss: 1.9951 2022/07/23 00:13:30 - mmengine - INFO - Epoch(train) [39][2760/3757] lr: 1.0000e-02 eta: 14:58:01 time: 0.2555 data_time: 0.0239 memory: 6108 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9053 loss: 1.9053 2022/07/23 00:13:34 - mmengine - INFO - Epoch(train) [39][2780/3757] lr: 1.0000e-02 eta: 14:57:56 time: 0.2306 data_time: 0.0207 memory: 6108 grad_norm: 5.8269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0393 loss: 2.0393 2022/07/23 00:13:39 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 1.0000e-02 eta: 14:57:51 time: 0.2328 data_time: 0.0195 memory: 6108 grad_norm: 5.7423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8867 loss: 1.8867 2022/07/23 00:13:43 - mmengine - INFO - Epoch(train) [39][2820/3757] lr: 1.0000e-02 eta: 14:57:46 time: 0.2265 data_time: 0.0230 memory: 6108 grad_norm: 5.9394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8176 loss: 1.8176 2022/07/23 00:13:48 - mmengine - INFO - Epoch(train) [39][2840/3757] lr: 1.0000e-02 eta: 14:57:42 time: 0.2393 data_time: 0.0198 memory: 6108 grad_norm: 5.6107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0880 loss: 2.0880 2022/07/23 00:13:53 - mmengine - INFO - Epoch(train) [39][2860/3757] lr: 1.0000e-02 eta: 14:57:37 time: 0.2282 data_time: 0.0247 memory: 6108 grad_norm: 5.5329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1285 loss: 2.1285 2022/07/23 00:13:57 - mmengine - INFO - Epoch(train) [39][2880/3757] lr: 1.0000e-02 eta: 14:57:32 time: 0.2325 data_time: 0.0233 memory: 6108 grad_norm: 5.5409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8672 loss: 1.8672 2022/07/23 00:14:02 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 1.0000e-02 eta: 14:57:27 time: 0.2267 data_time: 0.0213 memory: 6108 grad_norm: 5.5801 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8118 loss: 1.8118 2022/07/23 00:14:07 - mmengine - INFO - Epoch(train) [39][2920/3757] lr: 1.0000e-02 eta: 14:57:23 time: 0.2454 data_time: 0.0273 memory: 6108 grad_norm: 5.6948 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9162 loss: 1.9162 2022/07/23 00:14:12 - mmengine - INFO - Epoch(train) [39][2940/3757] lr: 1.0000e-02 eta: 14:57:18 time: 0.2312 data_time: 0.0231 memory: 6108 grad_norm: 5.7039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2413 loss: 2.2413 2022/07/23 00:14:16 - mmengine - INFO - Epoch(train) [39][2960/3757] lr: 1.0000e-02 eta: 14:57:13 time: 0.2227 data_time: 0.0194 memory: 6108 grad_norm: 5.6881 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7852 loss: 1.7852 2022/07/23 00:14:20 - mmengine - INFO - Epoch(train) [39][2980/3757] lr: 1.0000e-02 eta: 14:57:08 time: 0.2238 data_time: 0.0262 memory: 6108 grad_norm: 5.6945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3439 loss: 2.3439 2022/07/23 00:14:25 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 1.0000e-02 eta: 14:57:03 time: 0.2256 data_time: 0.0227 memory: 6108 grad_norm: 5.7758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0160 loss: 2.0160 2022/07/23 00:14:30 - mmengine - INFO - Epoch(train) [39][3020/3757] lr: 1.0000e-02 eta: 14:56:59 time: 0.2445 data_time: 0.0182 memory: 6108 grad_norm: 5.7279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9629 loss: 1.9629 2022/07/23 00:14:35 - mmengine - INFO - Epoch(train) [39][3040/3757] lr: 1.0000e-02 eta: 14:56:55 time: 0.2550 data_time: 0.0198 memory: 6108 grad_norm: 5.6261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9458 loss: 1.9458 2022/07/23 00:14:40 - mmengine - INFO - Epoch(train) [39][3060/3757] lr: 1.0000e-02 eta: 14:56:50 time: 0.2253 data_time: 0.0203 memory: 6108 grad_norm: 5.6288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0408 loss: 2.0408 2022/07/23 00:14:44 - mmengine - INFO - Epoch(train) [39][3080/3757] lr: 1.0000e-02 eta: 14:56:46 time: 0.2391 data_time: 0.0212 memory: 6108 grad_norm: 5.8879 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2674 loss: 2.2674 2022/07/23 00:14:49 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 1.0000e-02 eta: 14:56:41 time: 0.2374 data_time: 0.0202 memory: 6108 grad_norm: 5.8596 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0470 loss: 2.0470 2022/07/23 00:14:54 - mmengine - INFO - Epoch(train) [39][3120/3757] lr: 1.0000e-02 eta: 14:56:36 time: 0.2328 data_time: 0.0307 memory: 6108 grad_norm: 5.8339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9872 loss: 1.9872 2022/07/23 00:14:58 - mmengine - INFO - Epoch(train) [39][3140/3757] lr: 1.0000e-02 eta: 14:56:31 time: 0.2302 data_time: 0.0240 memory: 6108 grad_norm: 5.8731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1102 loss: 2.1102 2022/07/23 00:15:03 - mmengine - INFO - Epoch(train) [39][3160/3757] lr: 1.0000e-02 eta: 14:56:27 time: 0.2394 data_time: 0.0349 memory: 6108 grad_norm: 5.7721 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1303 loss: 2.1303 2022/07/23 00:15:08 - mmengine - INFO - Epoch(train) [39][3180/3757] lr: 1.0000e-02 eta: 14:56:22 time: 0.2411 data_time: 0.0234 memory: 6108 grad_norm: 5.7879 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2256 loss: 2.2256 2022/07/23 00:15:13 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 1.0000e-02 eta: 14:56:17 time: 0.2249 data_time: 0.0213 memory: 6108 grad_norm: 5.8385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9897 loss: 1.9897 2022/07/23 00:15:17 - mmengine - INFO - Epoch(train) [39][3220/3757] lr: 1.0000e-02 eta: 14:56:13 time: 0.2316 data_time: 0.0269 memory: 6108 grad_norm: 5.6246 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8355 loss: 1.8355 2022/07/23 00:15:20 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:15:22 - mmengine - INFO - Epoch(train) [39][3240/3757] lr: 1.0000e-02 eta: 14:56:08 time: 0.2283 data_time: 0.0271 memory: 6108 grad_norm: 5.7742 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8333 loss: 1.8333 2022/07/23 00:15:26 - mmengine - INFO - Epoch(train) [39][3260/3757] lr: 1.0000e-02 eta: 14:56:03 time: 0.2338 data_time: 0.0208 memory: 6108 grad_norm: 5.7561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1917 loss: 2.1917 2022/07/23 00:15:31 - mmengine - INFO - Epoch(train) [39][3280/3757] lr: 1.0000e-02 eta: 14:55:58 time: 0.2310 data_time: 0.0212 memory: 6108 grad_norm: 5.6828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2141 loss: 2.2141 2022/07/23 00:15:36 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 1.0000e-02 eta: 14:55:55 time: 0.2689 data_time: 0.0188 memory: 6108 grad_norm: 5.5944 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6511 loss: 1.6511 2022/07/23 00:15:41 - mmengine - INFO - Epoch(train) [39][3320/3757] lr: 1.0000e-02 eta: 14:55:50 time: 0.2249 data_time: 0.0200 memory: 6108 grad_norm: 5.8079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9336 loss: 1.9336 2022/07/23 00:15:46 - mmengine - INFO - Epoch(train) [39][3340/3757] lr: 1.0000e-02 eta: 14:55:45 time: 0.2260 data_time: 0.0216 memory: 6108 grad_norm: 5.6963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7460 loss: 1.7460 2022/07/23 00:15:51 - mmengine - INFO - Epoch(train) [39][3360/3757] lr: 1.0000e-02 eta: 14:55:41 time: 0.2608 data_time: 0.0191 memory: 6108 grad_norm: 5.4931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0691 loss: 2.0691 2022/07/23 00:15:55 - mmengine - INFO - Epoch(train) [39][3380/3757] lr: 1.0000e-02 eta: 14:55:36 time: 0.2288 data_time: 0.0162 memory: 6108 grad_norm: 5.5720 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0230 loss: 2.0230 2022/07/23 00:16:00 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 1.0000e-02 eta: 14:55:32 time: 0.2375 data_time: 0.0201 memory: 6108 grad_norm: 5.9396 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9472 loss: 1.9472 2022/07/23 00:16:05 - mmengine - INFO - Epoch(train) [39][3420/3757] lr: 1.0000e-02 eta: 14:55:27 time: 0.2220 data_time: 0.0234 memory: 6108 grad_norm: 5.6747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0391 loss: 2.0391 2022/07/23 00:16:09 - mmengine - INFO - Epoch(train) [39][3440/3757] lr: 1.0000e-02 eta: 14:55:22 time: 0.2387 data_time: 0.0217 memory: 6108 grad_norm: 5.7405 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1838 loss: 2.1838 2022/07/23 00:16:14 - mmengine - INFO - Epoch(train) [39][3460/3757] lr: 1.0000e-02 eta: 14:55:17 time: 0.2278 data_time: 0.0242 memory: 6108 grad_norm: 5.8476 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9847 loss: 1.9847 2022/07/23 00:16:19 - mmengine - INFO - Epoch(train) [39][3480/3757] lr: 1.0000e-02 eta: 14:55:12 time: 0.2310 data_time: 0.0259 memory: 6108 grad_norm: 5.9160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/07/23 00:16:23 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 1.0000e-02 eta: 14:55:07 time: 0.2261 data_time: 0.0249 memory: 6108 grad_norm: 5.6813 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0724 loss: 2.0724 2022/07/23 00:16:29 - mmengine - INFO - Epoch(train) [39][3520/3757] lr: 1.0000e-02 eta: 14:55:04 time: 0.2828 data_time: 0.0179 memory: 6108 grad_norm: 5.6164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9781 loss: 1.9781 2022/07/23 00:16:33 - mmengine - INFO - Epoch(train) [39][3540/3757] lr: 1.0000e-02 eta: 14:54:59 time: 0.2282 data_time: 0.0251 memory: 6108 grad_norm: 5.7877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0714 loss: 2.0714 2022/07/23 00:16:38 - mmengine - INFO - Epoch(train) [39][3560/3757] lr: 1.0000e-02 eta: 14:54:55 time: 0.2288 data_time: 0.0218 memory: 6108 grad_norm: 5.7736 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1388 loss: 2.1388 2022/07/23 00:16:43 - mmengine - INFO - Epoch(train) [39][3580/3757] lr: 1.0000e-02 eta: 14:54:51 time: 0.2612 data_time: 0.0181 memory: 6108 grad_norm: 5.6580 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3094 loss: 2.3094 2022/07/23 00:16:48 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 1.0000e-02 eta: 14:54:46 time: 0.2438 data_time: 0.0243 memory: 6108 grad_norm: 5.6931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9713 loss: 1.9713 2022/07/23 00:16:53 - mmengine - INFO - Epoch(train) [39][3620/3757] lr: 1.0000e-02 eta: 14:54:41 time: 0.2263 data_time: 0.0203 memory: 6108 grad_norm: 5.6011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0691 loss: 2.0691 2022/07/23 00:16:57 - mmengine - INFO - Epoch(train) [39][3640/3757] lr: 1.0000e-02 eta: 14:54:37 time: 0.2363 data_time: 0.0193 memory: 6108 grad_norm: 5.7742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0520 loss: 2.0520 2022/07/23 00:17:02 - mmengine - INFO - Epoch(train) [39][3660/3757] lr: 1.0000e-02 eta: 14:54:32 time: 0.2264 data_time: 0.0231 memory: 6108 grad_norm: 5.8710 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0141 loss: 2.0141 2022/07/23 00:17:07 - mmengine - INFO - Epoch(train) [39][3680/3757] lr: 1.0000e-02 eta: 14:54:27 time: 0.2377 data_time: 0.0213 memory: 6108 grad_norm: 5.3837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9870 loss: 1.9870 2022/07/23 00:17:11 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 1.0000e-02 eta: 14:54:22 time: 0.2224 data_time: 0.0184 memory: 6108 grad_norm: 5.8611 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1540 loss: 2.1540 2022/07/23 00:17:16 - mmengine - INFO - Epoch(train) [39][3720/3757] lr: 1.0000e-02 eta: 14:54:17 time: 0.2245 data_time: 0.0219 memory: 6108 grad_norm: 5.7560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9596 loss: 1.9596 2022/07/23 00:17:20 - mmengine - INFO - Epoch(train) [39][3740/3757] lr: 1.0000e-02 eta: 14:54:13 time: 0.2346 data_time: 0.0196 memory: 6108 grad_norm: 5.6395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2852 loss: 2.2852 2022/07/23 00:17:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:17:24 - mmengine - INFO - Epoch(train) [39][3757/3757] lr: 1.0000e-02 eta: 14:54:13 time: 0.2061 data_time: 0.0147 memory: 6108 grad_norm: 5.4095 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8218 loss: 1.8218 2022/07/23 00:17:29 - mmengine - INFO - Epoch(val) [39][20/310] eta: 0:01:23 time: 0.2882 data_time: 0.2045 memory: 1428 2022/07/23 00:17:33 - mmengine - INFO - Epoch(val) [39][40/310] eta: 0:00:46 time: 0.1716 data_time: 0.0982 memory: 1428 2022/07/23 00:17:37 - mmengine - INFO - Epoch(val) [39][60/310] eta: 0:00:57 time: 0.2286 data_time: 0.1477 memory: 1428 2022/07/23 00:17:41 - mmengine - INFO - Epoch(val) [39][80/310] eta: 0:00:45 time: 0.1993 data_time: 0.1208 memory: 1428 2022/07/23 00:17:46 - mmengine - INFO - Epoch(val) [39][100/310] eta: 0:00:50 time: 0.2393 data_time: 0.1524 memory: 1428 2022/07/23 00:17:50 - mmengine - INFO - Epoch(val) [39][120/310] eta: 0:00:34 time: 0.1830 data_time: 0.1025 memory: 1428 2022/07/23 00:17:55 - mmengine - INFO - Epoch(val) [39][140/310] eta: 0:00:42 time: 0.2488 data_time: 0.1727 memory: 1428 2022/07/23 00:17:59 - mmengine - INFO - Epoch(val) [39][160/310] eta: 0:00:28 time: 0.1892 data_time: 0.1074 memory: 1428 2022/07/23 00:18:04 - mmengine - INFO - Epoch(val) [39][180/310] eta: 0:00:32 time: 0.2493 data_time: 0.1733 memory: 1428 2022/07/23 00:18:07 - mmengine - INFO - Epoch(val) [39][200/310] eta: 0:00:19 time: 0.1730 data_time: 0.0967 memory: 1428 2022/07/23 00:18:13 - mmengine - INFO - Epoch(val) [39][220/310] eta: 0:00:24 time: 0.2764 data_time: 0.2028 memory: 1428 2022/07/23 00:18:16 - mmengine - INFO - Epoch(val) [39][240/310] eta: 0:00:12 time: 0.1808 data_time: 0.1075 memory: 1428 2022/07/23 00:18:21 - mmengine - INFO - Epoch(val) [39][260/310] eta: 0:00:12 time: 0.2475 data_time: 0.1745 memory: 1428 2022/07/23 00:18:25 - mmengine - INFO - Epoch(val) [39][280/310] eta: 0:00:05 time: 0.1849 data_time: 0.1110 memory: 1428 2022/07/23 00:18:29 - mmengine - INFO - Epoch(val) [39][300/310] eta: 0:00:02 time: 0.2033 data_time: 0.1286 memory: 1428 2022/07/23 00:18:32 - mmengine - INFO - Epoch(val) [39][310/310] acc/top1: 0.5610 acc/top5: 0.7966 acc/mean1: 0.5608 2022/07/23 00:18:39 - mmengine - INFO - Epoch(train) [40][20/3757] lr: 1.0000e-02 eta: 14:54:02 time: 0.3614 data_time: 0.0923 memory: 6108 grad_norm: 5.8788 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8224 loss: 1.8224 2022/07/23 00:18:43 - mmengine - INFO - Epoch(train) [40][40/3757] lr: 1.0000e-02 eta: 14:53:57 time: 0.2216 data_time: 0.0165 memory: 6108 grad_norm: 5.5147 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2156 loss: 2.2156 2022/07/23 00:18:48 - mmengine - INFO - Epoch(train) [40][60/3757] lr: 1.0000e-02 eta: 14:53:52 time: 0.2514 data_time: 0.0229 memory: 6108 grad_norm: 5.6799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9496 loss: 1.9496 2022/07/23 00:18:53 - mmengine - INFO - Epoch(train) [40][80/3757] lr: 1.0000e-02 eta: 14:53:48 time: 0.2275 data_time: 0.0217 memory: 6108 grad_norm: 5.6836 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6723 loss: 1.6723 2022/07/23 00:18:58 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 1.0000e-02 eta: 14:53:43 time: 0.2327 data_time: 0.0221 memory: 6108 grad_norm: 5.6438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2683 loss: 2.2683 2022/07/23 00:19:02 - mmengine - INFO - Epoch(train) [40][120/3757] lr: 1.0000e-02 eta: 14:53:38 time: 0.2291 data_time: 0.0295 memory: 6108 grad_norm: 5.7176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1252 loss: 2.1252 2022/07/23 00:19:07 - mmengine - INFO - Epoch(train) [40][140/3757] lr: 1.0000e-02 eta: 14:53:34 time: 0.2623 data_time: 0.0233 memory: 6108 grad_norm: 5.6772 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7257 loss: 1.7257 2022/07/23 00:19:12 - mmengine - INFO - Epoch(train) [40][160/3757] lr: 1.0000e-02 eta: 14:53:30 time: 0.2483 data_time: 0.0188 memory: 6108 grad_norm: 5.9222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8092 loss: 1.8092 2022/07/23 00:19:17 - mmengine - INFO - Epoch(train) [40][180/3757] lr: 1.0000e-02 eta: 14:53:25 time: 0.2204 data_time: 0.0249 memory: 6108 grad_norm: 5.9224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0308 loss: 2.0308 2022/07/23 00:19:21 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 1.0000e-02 eta: 14:53:20 time: 0.2252 data_time: 0.0212 memory: 6108 grad_norm: 5.7661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0528 loss: 2.0528 2022/07/23 00:19:26 - mmengine - INFO - Epoch(train) [40][220/3757] lr: 1.0000e-02 eta: 14:53:15 time: 0.2230 data_time: 0.0192 memory: 6108 grad_norm: 5.9147 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1124 loss: 2.1124 2022/07/23 00:19:31 - mmengine - INFO - Epoch(train) [40][240/3757] lr: 1.0000e-02 eta: 14:53:11 time: 0.2627 data_time: 0.0197 memory: 6108 grad_norm: 5.7731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8225 loss: 1.8225 2022/07/23 00:19:36 - mmengine - INFO - Epoch(train) [40][260/3757] lr: 1.0000e-02 eta: 14:53:06 time: 0.2278 data_time: 0.0237 memory: 6108 grad_norm: 5.6970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9065 loss: 1.9065 2022/07/23 00:19:40 - mmengine - INFO - Epoch(train) [40][280/3757] lr: 1.0000e-02 eta: 14:53:01 time: 0.2279 data_time: 0.0243 memory: 6108 grad_norm: 5.7700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9667 loss: 1.9667 2022/07/23 00:19:45 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 1.0000e-02 eta: 14:52:56 time: 0.2234 data_time: 0.0226 memory: 6108 grad_norm: 5.6045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6616 loss: 1.6616 2022/07/23 00:19:50 - mmengine - INFO - Epoch(train) [40][320/3757] lr: 1.0000e-02 eta: 14:52:53 time: 0.2613 data_time: 0.0283 memory: 6108 grad_norm: 5.8095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9534 loss: 1.9534 2022/07/23 00:19:55 - mmengine - INFO - Epoch(train) [40][340/3757] lr: 1.0000e-02 eta: 14:52:48 time: 0.2256 data_time: 0.0171 memory: 6108 grad_norm: 5.9079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8506 loss: 1.8506 2022/07/23 00:19:59 - mmengine - INFO - Epoch(train) [40][360/3757] lr: 1.0000e-02 eta: 14:52:43 time: 0.2255 data_time: 0.0224 memory: 6108 grad_norm: 5.9346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9863 loss: 1.9863 2022/07/23 00:20:04 - mmengine - INFO - Epoch(train) [40][380/3757] lr: 1.0000e-02 eta: 14:52:38 time: 0.2391 data_time: 0.0186 memory: 6108 grad_norm: 5.8096 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8518 loss: 1.8518 2022/07/23 00:20:09 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 1.0000e-02 eta: 14:52:34 time: 0.2403 data_time: 0.0189 memory: 6108 grad_norm: 5.8063 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/07/23 00:20:13 - mmengine - INFO - Epoch(train) [40][420/3757] lr: 1.0000e-02 eta: 14:52:29 time: 0.2273 data_time: 0.0217 memory: 6108 grad_norm: 5.9085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/07/23 00:20:18 - mmengine - INFO - Epoch(train) [40][440/3757] lr: 1.0000e-02 eta: 14:52:24 time: 0.2443 data_time: 0.0212 memory: 6108 grad_norm: 5.6885 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0697 loss: 2.0697 2022/07/23 00:20:23 - mmengine - INFO - Epoch(train) [40][460/3757] lr: 1.0000e-02 eta: 14:52:20 time: 0.2329 data_time: 0.0245 memory: 6108 grad_norm: 5.5886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1201 loss: 2.1201 2022/07/23 00:20:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:20:28 - mmengine - INFO - Epoch(train) [40][480/3757] lr: 1.0000e-02 eta: 14:52:16 time: 0.2613 data_time: 0.0207 memory: 6108 grad_norm: 5.8051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9554 loss: 1.9554 2022/07/23 00:20:32 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 1.0000e-02 eta: 14:52:11 time: 0.2202 data_time: 0.0207 memory: 6108 grad_norm: 5.6127 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9031 loss: 1.9031 2022/07/23 00:20:37 - mmengine - INFO - Epoch(train) [40][520/3757] lr: 1.0000e-02 eta: 14:52:06 time: 0.2312 data_time: 0.0207 memory: 6108 grad_norm: 5.8268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0987 loss: 2.0987 2022/07/23 00:20:42 - mmengine - INFO - Epoch(train) [40][540/3757] lr: 1.0000e-02 eta: 14:52:01 time: 0.2288 data_time: 0.0221 memory: 6108 grad_norm: 5.6274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0646 loss: 2.0646 2022/07/23 00:20:46 - mmengine - INFO - Epoch(train) [40][560/3757] lr: 1.0000e-02 eta: 14:51:56 time: 0.2207 data_time: 0.0180 memory: 6108 grad_norm: 5.5996 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/07/23 00:20:51 - mmengine - INFO - Epoch(train) [40][580/3757] lr: 1.0000e-02 eta: 14:51:51 time: 0.2377 data_time: 0.0215 memory: 6108 grad_norm: 5.6399 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0342 loss: 2.0342 2022/07/23 00:20:55 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 1.0000e-02 eta: 14:51:46 time: 0.2260 data_time: 0.0244 memory: 6108 grad_norm: 5.8463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9739 loss: 1.9739 2022/07/23 00:21:00 - mmengine - INFO - Epoch(train) [40][620/3757] lr: 1.0000e-02 eta: 14:51:42 time: 0.2262 data_time: 0.0205 memory: 6108 grad_norm: 5.7022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0999 loss: 2.0999 2022/07/23 00:21:05 - mmengine - INFO - Epoch(train) [40][640/3757] lr: 1.0000e-02 eta: 14:51:37 time: 0.2327 data_time: 0.0223 memory: 6108 grad_norm: 5.6148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8043 loss: 1.8043 2022/07/23 00:21:10 - mmengine - INFO - Epoch(train) [40][660/3757] lr: 1.0000e-02 eta: 14:51:33 time: 0.2528 data_time: 0.0188 memory: 6108 grad_norm: 5.9712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0748 loss: 2.0748 2022/07/23 00:21:14 - mmengine - INFO - Epoch(train) [40][680/3757] lr: 1.0000e-02 eta: 14:51:28 time: 0.2380 data_time: 0.0182 memory: 6108 grad_norm: 5.6222 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6126 loss: 1.6126 2022/07/23 00:21:19 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 1.0000e-02 eta: 14:51:24 time: 0.2373 data_time: 0.0234 memory: 6108 grad_norm: 5.6439 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8425 loss: 1.8425 2022/07/23 00:21:24 - mmengine - INFO - Epoch(train) [40][720/3757] lr: 1.0000e-02 eta: 14:51:19 time: 0.2338 data_time: 0.0245 memory: 6108 grad_norm: 5.8399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7007 loss: 1.7007 2022/07/23 00:21:29 - mmengine - INFO - Epoch(train) [40][740/3757] lr: 1.0000e-02 eta: 14:51:14 time: 0.2343 data_time: 0.0171 memory: 6108 grad_norm: 5.8175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5582 loss: 1.5582 2022/07/23 00:21:33 - mmengine - INFO - Epoch(train) [40][760/3757] lr: 1.0000e-02 eta: 14:51:09 time: 0.2230 data_time: 0.0226 memory: 6108 grad_norm: 5.9414 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8916 loss: 1.8916 2022/07/23 00:21:38 - mmengine - INFO - Epoch(train) [40][780/3757] lr: 1.0000e-02 eta: 14:51:05 time: 0.2397 data_time: 0.0240 memory: 6108 grad_norm: 5.7717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/07/23 00:21:43 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 1.0000e-02 eta: 14:51:00 time: 0.2376 data_time: 0.0210 memory: 6108 grad_norm: 5.9215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1451 loss: 2.1451 2022/07/23 00:21:48 - mmengine - INFO - Epoch(train) [40][820/3757] lr: 1.0000e-02 eta: 14:50:56 time: 0.2597 data_time: 0.0265 memory: 6108 grad_norm: 5.6206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8636 loss: 1.8636 2022/07/23 00:21:52 - mmengine - INFO - Epoch(train) [40][840/3757] lr: 1.0000e-02 eta: 14:50:51 time: 0.2197 data_time: 0.0190 memory: 6108 grad_norm: 5.7582 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/07/23 00:21:57 - mmengine - INFO - Epoch(train) [40][860/3757] lr: 1.0000e-02 eta: 14:50:46 time: 0.2326 data_time: 0.0257 memory: 6108 grad_norm: 5.8018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0043 loss: 2.0043 2022/07/23 00:22:02 - mmengine - INFO - Epoch(train) [40][880/3757] lr: 1.0000e-02 eta: 14:50:41 time: 0.2278 data_time: 0.0244 memory: 6108 grad_norm: 5.8544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1166 loss: 2.1166 2022/07/23 00:22:06 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 1.0000e-02 eta: 14:50:37 time: 0.2280 data_time: 0.0220 memory: 6108 grad_norm: 6.0006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/07/23 00:22:11 - mmengine - INFO - Epoch(train) [40][920/3757] lr: 1.0000e-02 eta: 14:50:32 time: 0.2508 data_time: 0.0269 memory: 6108 grad_norm: 5.7850 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9237 loss: 1.9237 2022/07/23 00:22:16 - mmengine - INFO - Epoch(train) [40][940/3757] lr: 1.0000e-02 eta: 14:50:28 time: 0.2285 data_time: 0.0245 memory: 6108 grad_norm: 5.7177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8053 loss: 1.8053 2022/07/23 00:22:20 - mmengine - INFO - Epoch(train) [40][960/3757] lr: 1.0000e-02 eta: 14:50:23 time: 0.2248 data_time: 0.0232 memory: 6108 grad_norm: 5.7696 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9164 loss: 1.9164 2022/07/23 00:22:25 - mmengine - INFO - Epoch(train) [40][980/3757] lr: 1.0000e-02 eta: 14:50:18 time: 0.2456 data_time: 0.0168 memory: 6108 grad_norm: 5.7765 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7699 loss: 1.7699 2022/07/23 00:22:30 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 1.0000e-02 eta: 14:50:14 time: 0.2419 data_time: 0.0178 memory: 6108 grad_norm: 5.8677 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1801 loss: 2.1801 2022/07/23 00:22:35 - mmengine - INFO - Epoch(train) [40][1020/3757] lr: 1.0000e-02 eta: 14:50:09 time: 0.2265 data_time: 0.0231 memory: 6108 grad_norm: 5.7780 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0076 loss: 2.0076 2022/07/23 00:22:39 - mmengine - INFO - Epoch(train) [40][1040/3757] lr: 1.0000e-02 eta: 14:50:05 time: 0.2436 data_time: 0.0226 memory: 6108 grad_norm: 5.8648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1621 loss: 2.1621 2022/07/23 00:22:44 - mmengine - INFO - Epoch(train) [40][1060/3757] lr: 1.0000e-02 eta: 14:49:59 time: 0.2201 data_time: 0.0183 memory: 6108 grad_norm: 5.6607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0740 loss: 2.0740 2022/07/23 00:22:49 - mmengine - INFO - Epoch(train) [40][1080/3757] lr: 1.0000e-02 eta: 14:49:55 time: 0.2447 data_time: 0.0267 memory: 6108 grad_norm: 5.4229 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9840 loss: 1.9840 2022/07/23 00:22:53 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 1.0000e-02 eta: 14:49:50 time: 0.2247 data_time: 0.0184 memory: 6108 grad_norm: 5.8401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9004 loss: 1.9004 2022/07/23 00:22:58 - mmengine - INFO - Epoch(train) [40][1120/3757] lr: 1.0000e-02 eta: 14:49:45 time: 0.2284 data_time: 0.0262 memory: 6108 grad_norm: 5.7437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9481 loss: 1.9481 2022/07/23 00:23:03 - mmengine - INFO - Epoch(train) [40][1140/3757] lr: 1.0000e-02 eta: 14:49:40 time: 0.2292 data_time: 0.0217 memory: 6108 grad_norm: 5.8504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/07/23 00:23:08 - mmengine - INFO - Epoch(train) [40][1160/3757] lr: 1.0000e-02 eta: 14:49:37 time: 0.2594 data_time: 0.0280 memory: 6108 grad_norm: 5.8889 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9683 loss: 1.9683 2022/07/23 00:23:12 - mmengine - INFO - Epoch(train) [40][1180/3757] lr: 1.0000e-02 eta: 14:49:32 time: 0.2263 data_time: 0.0224 memory: 6108 grad_norm: 5.6133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8669 loss: 1.8669 2022/07/23 00:23:17 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 1.0000e-02 eta: 14:49:27 time: 0.2285 data_time: 0.0253 memory: 6108 grad_norm: 5.7325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0274 loss: 2.0274 2022/07/23 00:23:21 - mmengine - INFO - Epoch(train) [40][1220/3757] lr: 1.0000e-02 eta: 14:49:22 time: 0.2261 data_time: 0.0173 memory: 6108 grad_norm: 5.8382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0889 loss: 2.0889 2022/07/23 00:23:26 - mmengine - INFO - Epoch(train) [40][1240/3757] lr: 1.0000e-02 eta: 14:49:17 time: 0.2272 data_time: 0.0226 memory: 6108 grad_norm: 5.6411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/07/23 00:23:31 - mmengine - INFO - Epoch(train) [40][1260/3757] lr: 1.0000e-02 eta: 14:49:12 time: 0.2407 data_time: 0.0204 memory: 6108 grad_norm: 5.7548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9113 loss: 1.9113 2022/07/23 00:23:35 - mmengine - INFO - Epoch(train) [40][1280/3757] lr: 1.0000e-02 eta: 14:49:08 time: 0.2269 data_time: 0.0180 memory: 6108 grad_norm: 5.7266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9255 loss: 1.9255 2022/07/23 00:23:40 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 1.0000e-02 eta: 14:49:03 time: 0.2246 data_time: 0.0216 memory: 6108 grad_norm: 5.8795 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8133 loss: 1.8133 2022/07/23 00:23:44 - mmengine - INFO - Epoch(train) [40][1320/3757] lr: 1.0000e-02 eta: 14:48:58 time: 0.2284 data_time: 0.0238 memory: 6108 grad_norm: 5.5439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9874 loss: 1.9874 2022/07/23 00:23:50 - mmengine - INFO - Epoch(train) [40][1340/3757] lr: 1.0000e-02 eta: 14:48:54 time: 0.2630 data_time: 0.0199 memory: 6108 grad_norm: 5.7353 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0106 loss: 2.0106 2022/07/23 00:23:54 - mmengine - INFO - Epoch(train) [40][1360/3757] lr: 1.0000e-02 eta: 14:48:49 time: 0.2375 data_time: 0.0185 memory: 6108 grad_norm: 5.6970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7469 loss: 1.7469 2022/07/23 00:23:59 - mmengine - INFO - Epoch(train) [40][1380/3757] lr: 1.0000e-02 eta: 14:48:45 time: 0.2291 data_time: 0.0197 memory: 6108 grad_norm: 5.7649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9153 loss: 1.9153 2022/07/23 00:24:04 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 1.0000e-02 eta: 14:48:40 time: 0.2371 data_time: 0.0170 memory: 6108 grad_norm: 5.7972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1040 loss: 2.1040 2022/07/23 00:24:09 - mmengine - INFO - Epoch(train) [40][1420/3757] lr: 1.0000e-02 eta: 14:48:36 time: 0.2559 data_time: 0.0221 memory: 6108 grad_norm: 5.8198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/07/23 00:24:14 - mmengine - INFO - Epoch(train) [40][1440/3757] lr: 1.0000e-02 eta: 14:48:31 time: 0.2281 data_time: 0.0220 memory: 6108 grad_norm: 5.7163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7664 loss: 1.7664 2022/07/23 00:24:18 - mmengine - INFO - Epoch(train) [40][1460/3757] lr: 1.0000e-02 eta: 14:48:26 time: 0.2365 data_time: 0.0211 memory: 6108 grad_norm: 5.8455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7639 loss: 1.7639 2022/07/23 00:24:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:24:23 - mmengine - INFO - Epoch(train) [40][1480/3757] lr: 1.0000e-02 eta: 14:48:22 time: 0.2422 data_time: 0.0193 memory: 6108 grad_norm: 5.7440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0668 loss: 2.0668 2022/07/23 00:24:28 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 1.0000e-02 eta: 14:48:18 time: 0.2509 data_time: 0.0232 memory: 6108 grad_norm: 5.8323 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9944 loss: 1.9944 2022/07/23 00:24:33 - mmengine - INFO - Epoch(train) [40][1520/3757] lr: 1.0000e-02 eta: 14:48:13 time: 0.2265 data_time: 0.0203 memory: 6108 grad_norm: 5.7610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8726 loss: 1.8726 2022/07/23 00:24:37 - mmengine - INFO - Epoch(train) [40][1540/3757] lr: 1.0000e-02 eta: 14:48:08 time: 0.2299 data_time: 0.0232 memory: 6108 grad_norm: 5.6704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8292 loss: 1.8292 2022/07/23 00:24:42 - mmengine - INFO - Epoch(train) [40][1560/3757] lr: 1.0000e-02 eta: 14:48:03 time: 0.2308 data_time: 0.0210 memory: 6108 grad_norm: 5.6838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8859 loss: 1.8859 2022/07/23 00:24:47 - mmengine - INFO - Epoch(train) [40][1580/3757] lr: 1.0000e-02 eta: 14:47:59 time: 0.2314 data_time: 0.0260 memory: 6108 grad_norm: 5.8238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9475 loss: 1.9475 2022/07/23 00:24:51 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 1.0000e-02 eta: 14:47:54 time: 0.2391 data_time: 0.0164 memory: 6108 grad_norm: 5.7601 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1333 loss: 2.1333 2022/07/23 00:24:56 - mmengine - INFO - Epoch(train) [40][1620/3757] lr: 1.0000e-02 eta: 14:47:49 time: 0.2289 data_time: 0.0220 memory: 6108 grad_norm: 5.6624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9765 loss: 1.9765 2022/07/23 00:25:01 - mmengine - INFO - Epoch(train) [40][1640/3757] lr: 1.0000e-02 eta: 14:47:45 time: 0.2413 data_time: 0.0198 memory: 6108 grad_norm: 5.7295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2881 loss: 2.2881 2022/07/23 00:25:05 - mmengine - INFO - Epoch(train) [40][1660/3757] lr: 1.0000e-02 eta: 14:47:40 time: 0.2208 data_time: 0.0205 memory: 6108 grad_norm: 5.6068 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7261 loss: 1.7261 2022/07/23 00:25:10 - mmengine - INFO - Epoch(train) [40][1680/3757] lr: 1.0000e-02 eta: 14:47:36 time: 0.2615 data_time: 0.0256 memory: 6108 grad_norm: 5.5912 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7339 loss: 1.7339 2022/07/23 00:25:15 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 1.0000e-02 eta: 14:47:31 time: 0.2254 data_time: 0.0178 memory: 6108 grad_norm: 5.9508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8954 loss: 1.8954 2022/07/23 00:25:20 - mmengine - INFO - Epoch(train) [40][1720/3757] lr: 1.0000e-02 eta: 14:47:26 time: 0.2265 data_time: 0.0246 memory: 6108 grad_norm: 5.6616 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1283 loss: 2.1283 2022/07/23 00:25:24 - mmengine - INFO - Epoch(train) [40][1740/3757] lr: 1.0000e-02 eta: 14:47:21 time: 0.2254 data_time: 0.0237 memory: 6108 grad_norm: 5.8189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0001 loss: 2.0001 2022/07/23 00:25:29 - mmengine - INFO - Epoch(train) [40][1760/3757] lr: 1.0000e-02 eta: 14:47:17 time: 0.2439 data_time: 0.0269 memory: 6108 grad_norm: 5.7042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1731 loss: 2.1731 2022/07/23 00:25:33 - mmengine - INFO - Epoch(train) [40][1780/3757] lr: 1.0000e-02 eta: 14:47:12 time: 0.2235 data_time: 0.0174 memory: 6108 grad_norm: 5.7528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0678 loss: 2.0678 2022/07/23 00:25:39 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 1.0000e-02 eta: 14:47:07 time: 0.2520 data_time: 0.0184 memory: 6108 grad_norm: 5.4311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7030 loss: 1.7030 2022/07/23 00:25:43 - mmengine - INFO - Epoch(train) [40][1820/3757] lr: 1.0000e-02 eta: 14:47:03 time: 0.2315 data_time: 0.0266 memory: 6108 grad_norm: 5.6101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0460 loss: 2.0460 2022/07/23 00:25:48 - mmengine - INFO - Epoch(train) [40][1840/3757] lr: 1.0000e-02 eta: 14:46:58 time: 0.2391 data_time: 0.0174 memory: 6108 grad_norm: 5.9495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1902 loss: 2.1902 2022/07/23 00:25:52 - mmengine - INFO - Epoch(train) [40][1860/3757] lr: 1.0000e-02 eta: 14:46:53 time: 0.2262 data_time: 0.0249 memory: 6108 grad_norm: 5.8533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9012 loss: 1.9012 2022/07/23 00:25:57 - mmengine - INFO - Epoch(train) [40][1880/3757] lr: 1.0000e-02 eta: 14:46:48 time: 0.2293 data_time: 0.0185 memory: 6108 grad_norm: 5.8424 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0458 loss: 2.0458 2022/07/23 00:26:02 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 1.0000e-02 eta: 14:46:44 time: 0.2339 data_time: 0.0221 memory: 6108 grad_norm: 5.7237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9206 loss: 1.9206 2022/07/23 00:26:06 - mmengine - INFO - Epoch(train) [40][1920/3757] lr: 1.0000e-02 eta: 14:46:39 time: 0.2259 data_time: 0.0284 memory: 6108 grad_norm: 5.6616 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1873 loss: 2.1873 2022/07/23 00:26:11 - mmengine - INFO - Epoch(train) [40][1940/3757] lr: 1.0000e-02 eta: 14:46:35 time: 0.2495 data_time: 0.0203 memory: 6108 grad_norm: 5.8596 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9754 loss: 1.9754 2022/07/23 00:26:16 - mmengine - INFO - Epoch(train) [40][1960/3757] lr: 1.0000e-02 eta: 14:46:30 time: 0.2236 data_time: 0.0196 memory: 6108 grad_norm: 5.7508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7038 loss: 1.7038 2022/07/23 00:26:22 - mmengine - INFO - Epoch(train) [40][1980/3757] lr: 1.0000e-02 eta: 14:46:26 time: 0.2848 data_time: 0.0197 memory: 6108 grad_norm: 5.8711 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1963 loss: 2.1963 2022/07/23 00:26:26 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 1.0000e-02 eta: 14:46:22 time: 0.2283 data_time: 0.0228 memory: 6108 grad_norm: 5.6774 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0081 loss: 2.0081 2022/07/23 00:26:31 - mmengine - INFO - Epoch(train) [40][2020/3757] lr: 1.0000e-02 eta: 14:46:17 time: 0.2488 data_time: 0.0198 memory: 6108 grad_norm: 5.7682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9911 loss: 1.9911 2022/07/23 00:26:36 - mmengine - INFO - Epoch(train) [40][2040/3757] lr: 1.0000e-02 eta: 14:46:13 time: 0.2287 data_time: 0.0201 memory: 6108 grad_norm: 5.6128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9197 loss: 1.9197 2022/07/23 00:26:40 - mmengine - INFO - Epoch(train) [40][2060/3757] lr: 1.0000e-02 eta: 14:46:08 time: 0.2248 data_time: 0.0260 memory: 6108 grad_norm: 5.8216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2467 loss: 2.2467 2022/07/23 00:26:45 - mmengine - INFO - Epoch(train) [40][2080/3757] lr: 1.0000e-02 eta: 14:46:03 time: 0.2314 data_time: 0.0251 memory: 6108 grad_norm: 5.7959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3160 loss: 2.3160 2022/07/23 00:26:50 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 1.0000e-02 eta: 14:45:58 time: 0.2391 data_time: 0.0210 memory: 6108 grad_norm: 5.7407 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3754 loss: 2.3754 2022/07/23 00:26:54 - mmengine - INFO - Epoch(train) [40][2120/3757] lr: 1.0000e-02 eta: 14:45:54 time: 0.2333 data_time: 0.0213 memory: 6108 grad_norm: 5.8840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9437 loss: 1.9437 2022/07/23 00:26:59 - mmengine - INFO - Epoch(train) [40][2140/3757] lr: 1.0000e-02 eta: 14:45:49 time: 0.2277 data_time: 0.0236 memory: 6108 grad_norm: 5.7704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9220 loss: 1.9220 2022/07/23 00:27:04 - mmengine - INFO - Epoch(train) [40][2160/3757] lr: 1.0000e-02 eta: 14:45:44 time: 0.2308 data_time: 0.0175 memory: 6108 grad_norm: 5.8662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2004 loss: 2.2004 2022/07/23 00:27:09 - mmengine - INFO - Epoch(train) [40][2180/3757] lr: 1.0000e-02 eta: 14:45:40 time: 0.2522 data_time: 0.0226 memory: 6108 grad_norm: 5.8862 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8595 loss: 1.8595 2022/07/23 00:27:13 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 1.0000e-02 eta: 14:45:35 time: 0.2234 data_time: 0.0287 memory: 6108 grad_norm: 5.7625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7134 loss: 1.7134 2022/07/23 00:27:18 - mmengine - INFO - Epoch(train) [40][2220/3757] lr: 1.0000e-02 eta: 14:45:30 time: 0.2288 data_time: 0.0207 memory: 6108 grad_norm: 5.8013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9066 loss: 1.9066 2022/07/23 00:27:22 - mmengine - INFO - Epoch(train) [40][2240/3757] lr: 1.0000e-02 eta: 14:45:25 time: 0.2248 data_time: 0.0214 memory: 6108 grad_norm: 5.6384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8715 loss: 1.8715 2022/07/23 00:27:28 - mmengine - INFO - Epoch(train) [40][2260/3757] lr: 1.0000e-02 eta: 14:45:21 time: 0.2685 data_time: 0.0297 memory: 6108 grad_norm: 5.9874 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8783 loss: 1.8783 2022/07/23 00:27:32 - mmengine - INFO - Epoch(train) [40][2280/3757] lr: 1.0000e-02 eta: 14:45:16 time: 0.2225 data_time: 0.0203 memory: 6108 grad_norm: 5.6275 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/07/23 00:27:36 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 1.0000e-02 eta: 14:45:11 time: 0.2241 data_time: 0.0240 memory: 6108 grad_norm: 5.8520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9441 loss: 1.9441 2022/07/23 00:27:42 - mmengine - INFO - Epoch(train) [40][2320/3757] lr: 1.0000e-02 eta: 14:45:07 time: 0.2524 data_time: 0.0243 memory: 6108 grad_norm: 5.6852 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1922 loss: 2.1922 2022/07/23 00:27:46 - mmengine - INFO - Epoch(train) [40][2340/3757] lr: 1.0000e-02 eta: 14:45:02 time: 0.2258 data_time: 0.0203 memory: 6108 grad_norm: 5.9586 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3571 loss: 2.3571 2022/07/23 00:27:51 - mmengine - INFO - Epoch(train) [40][2360/3757] lr: 1.0000e-02 eta: 14:44:58 time: 0.2364 data_time: 0.0231 memory: 6108 grad_norm: 5.8252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1875 loss: 2.1875 2022/07/23 00:27:56 - mmengine - INFO - Epoch(train) [40][2380/3757] lr: 1.0000e-02 eta: 14:44:53 time: 0.2514 data_time: 0.0290 memory: 6108 grad_norm: 5.7069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9470 loss: 1.9470 2022/07/23 00:28:01 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 1.0000e-02 eta: 14:44:49 time: 0.2430 data_time: 0.0199 memory: 6108 grad_norm: 5.7905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1244 loss: 2.1244 2022/07/23 00:28:05 - mmengine - INFO - Epoch(train) [40][2420/3757] lr: 1.0000e-02 eta: 14:44:44 time: 0.2234 data_time: 0.0276 memory: 6108 grad_norm: 5.8052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9779 loss: 1.9779 2022/07/23 00:28:10 - mmengine - INFO - Epoch(train) [40][2440/3757] lr: 1.0000e-02 eta: 14:44:40 time: 0.2458 data_time: 0.0256 memory: 6108 grad_norm: 5.7430 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9474 loss: 1.9474 2022/07/23 00:28:15 - mmengine - INFO - Epoch(train) [40][2460/3757] lr: 1.0000e-02 eta: 14:44:35 time: 0.2375 data_time: 0.0303 memory: 6108 grad_norm: 5.7231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9461 loss: 1.9461 2022/07/23 00:28:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:28:20 - mmengine - INFO - Epoch(train) [40][2480/3757] lr: 1.0000e-02 eta: 14:44:30 time: 0.2276 data_time: 0.0189 memory: 6108 grad_norm: 5.7731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0914 loss: 2.0914 2022/07/23 00:28:24 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 1.0000e-02 eta: 14:44:25 time: 0.2311 data_time: 0.0208 memory: 6108 grad_norm: 5.7473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8700 loss: 1.8700 2022/07/23 00:28:29 - mmengine - INFO - Epoch(train) [40][2520/3757] lr: 1.0000e-02 eta: 14:44:21 time: 0.2357 data_time: 0.0202 memory: 6108 grad_norm: 5.6589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7964 loss: 1.7964 2022/07/23 00:28:33 - mmengine - INFO - Epoch(train) [40][2540/3757] lr: 1.0000e-02 eta: 14:44:16 time: 0.2212 data_time: 0.0205 memory: 6108 grad_norm: 5.5612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9997 loss: 1.9997 2022/07/23 00:28:38 - mmengine - INFO - Epoch(train) [40][2560/3757] lr: 1.0000e-02 eta: 14:44:11 time: 0.2257 data_time: 0.0221 memory: 6108 grad_norm: 5.6028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/07/23 00:28:42 - mmengine - INFO - Epoch(train) [40][2580/3757] lr: 1.0000e-02 eta: 14:44:06 time: 0.2259 data_time: 0.0249 memory: 6108 grad_norm: 5.8342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/07/23 00:28:47 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 1.0000e-02 eta: 14:44:01 time: 0.2299 data_time: 0.0217 memory: 6108 grad_norm: 5.8138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8807 loss: 1.8807 2022/07/23 00:28:52 - mmengine - INFO - Epoch(train) [40][2620/3757] lr: 1.0000e-02 eta: 14:43:57 time: 0.2451 data_time: 0.0207 memory: 6108 grad_norm: 5.7591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3515 loss: 2.3515 2022/07/23 00:28:56 - mmengine - INFO - Epoch(train) [40][2640/3757] lr: 1.0000e-02 eta: 14:43:52 time: 0.2274 data_time: 0.0206 memory: 6108 grad_norm: 5.6768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8962 loss: 1.8962 2022/07/23 00:29:01 - mmengine - INFO - Epoch(train) [40][2660/3757] lr: 1.0000e-02 eta: 14:43:47 time: 0.2424 data_time: 0.0211 memory: 6108 grad_norm: 5.5842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9657 loss: 1.9657 2022/07/23 00:29:06 - mmengine - INFO - Epoch(train) [40][2680/3757] lr: 1.0000e-02 eta: 14:43:43 time: 0.2443 data_time: 0.0229 memory: 6108 grad_norm: 5.6869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8964 loss: 1.8964 2022/07/23 00:29:11 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 1.0000e-02 eta: 14:43:38 time: 0.2305 data_time: 0.0236 memory: 6108 grad_norm: 5.7615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9426 loss: 1.9426 2022/07/23 00:29:16 - mmengine - INFO - Epoch(train) [40][2720/3757] lr: 1.0000e-02 eta: 14:43:34 time: 0.2338 data_time: 0.0195 memory: 6108 grad_norm: 5.6584 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0189 loss: 2.0189 2022/07/23 00:29:20 - mmengine - INFO - Epoch(train) [40][2740/3757] lr: 1.0000e-02 eta: 14:43:29 time: 0.2257 data_time: 0.0207 memory: 6108 grad_norm: 5.4158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8754 loss: 1.8754 2022/07/23 00:29:25 - mmengine - INFO - Epoch(train) [40][2760/3757] lr: 1.0000e-02 eta: 14:43:24 time: 0.2476 data_time: 0.0273 memory: 6108 grad_norm: 5.6833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1110 loss: 2.1110 2022/07/23 00:29:30 - mmengine - INFO - Epoch(train) [40][2780/3757] lr: 1.0000e-02 eta: 14:43:20 time: 0.2360 data_time: 0.0169 memory: 6108 grad_norm: 5.7518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1817 loss: 2.1817 2022/07/23 00:29:34 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 1.0000e-02 eta: 14:43:15 time: 0.2274 data_time: 0.0218 memory: 6108 grad_norm: 5.7278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2048 loss: 2.2048 2022/07/23 00:29:39 - mmengine - INFO - Epoch(train) [40][2820/3757] lr: 1.0000e-02 eta: 14:43:10 time: 0.2319 data_time: 0.0292 memory: 6108 grad_norm: 5.4866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6850 loss: 1.6850 2022/07/23 00:29:44 - mmengine - INFO - Epoch(train) [40][2840/3757] lr: 1.0000e-02 eta: 14:43:05 time: 0.2283 data_time: 0.0230 memory: 6108 grad_norm: 5.6536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/07/23 00:29:48 - mmengine - INFO - Epoch(train) [40][2860/3757] lr: 1.0000e-02 eta: 14:43:01 time: 0.2393 data_time: 0.0274 memory: 6108 grad_norm: 5.4909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8435 loss: 1.8435 2022/07/23 00:29:53 - mmengine - INFO - Epoch(train) [40][2880/3757] lr: 1.0000e-02 eta: 14:42:56 time: 0.2324 data_time: 0.0182 memory: 6108 grad_norm: 5.8257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/07/23 00:29:58 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 1.0000e-02 eta: 14:42:51 time: 0.2233 data_time: 0.0192 memory: 6108 grad_norm: 5.5996 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9548 loss: 1.9548 2022/07/23 00:30:03 - mmengine - INFO - Epoch(train) [40][2920/3757] lr: 1.0000e-02 eta: 14:42:47 time: 0.2508 data_time: 0.0242 memory: 6108 grad_norm: 5.5994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/07/23 00:30:07 - mmengine - INFO - Epoch(train) [40][2940/3757] lr: 1.0000e-02 eta: 14:42:42 time: 0.2240 data_time: 0.0191 memory: 6108 grad_norm: 5.6750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9459 loss: 1.9459 2022/07/23 00:30:12 - mmengine - INFO - Epoch(train) [40][2960/3757] lr: 1.0000e-02 eta: 14:42:37 time: 0.2443 data_time: 0.0202 memory: 6108 grad_norm: 5.8865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8767 loss: 1.8767 2022/07/23 00:30:17 - mmengine - INFO - Epoch(train) [40][2980/3757] lr: 1.0000e-02 eta: 14:42:33 time: 0.2378 data_time: 0.0322 memory: 6108 grad_norm: 5.7914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7760 loss: 1.7760 2022/07/23 00:30:21 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 1.0000e-02 eta: 14:42:28 time: 0.2227 data_time: 0.0174 memory: 6108 grad_norm: 5.7584 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1004 loss: 2.1004 2022/07/23 00:30:26 - mmengine - INFO - Epoch(train) [40][3020/3757] lr: 1.0000e-02 eta: 14:42:23 time: 0.2302 data_time: 0.0251 memory: 6108 grad_norm: 5.8352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7854 loss: 1.7854 2022/07/23 00:30:31 - mmengine - INFO - Epoch(train) [40][3040/3757] lr: 1.0000e-02 eta: 14:42:19 time: 0.2593 data_time: 0.0232 memory: 6108 grad_norm: 5.5734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7793 loss: 1.7793 2022/07/23 00:30:36 - mmengine - INFO - Epoch(train) [40][3060/3757] lr: 1.0000e-02 eta: 14:42:14 time: 0.2246 data_time: 0.0248 memory: 6108 grad_norm: 5.5702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8963 loss: 1.8963 2022/07/23 00:30:40 - mmengine - INFO - Epoch(train) [40][3080/3757] lr: 1.0000e-02 eta: 14:42:09 time: 0.2264 data_time: 0.0294 memory: 6108 grad_norm: 5.8053 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9183 loss: 1.9183 2022/07/23 00:30:45 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 1.0000e-02 eta: 14:42:04 time: 0.2277 data_time: 0.0235 memory: 6108 grad_norm: 5.7214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0015 loss: 2.0015 2022/07/23 00:30:49 - mmengine - INFO - Epoch(train) [40][3120/3757] lr: 1.0000e-02 eta: 14:42:00 time: 0.2399 data_time: 0.0192 memory: 6108 grad_norm: 5.6909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3348 loss: 2.3348 2022/07/23 00:30:54 - mmengine - INFO - Epoch(train) [40][3140/3757] lr: 1.0000e-02 eta: 14:41:55 time: 0.2288 data_time: 0.0243 memory: 6108 grad_norm: 5.6916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0089 loss: 2.0089 2022/07/23 00:30:59 - mmengine - INFO - Epoch(train) [40][3160/3757] lr: 1.0000e-02 eta: 14:41:51 time: 0.2474 data_time: 0.0224 memory: 6108 grad_norm: 5.6856 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/07/23 00:31:04 - mmengine - INFO - Epoch(train) [40][3180/3757] lr: 1.0000e-02 eta: 14:41:46 time: 0.2270 data_time: 0.0192 memory: 6108 grad_norm: 5.8801 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7861 loss: 1.7861 2022/07/23 00:31:09 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 1.0000e-02 eta: 14:41:42 time: 0.2571 data_time: 0.0291 memory: 6108 grad_norm: 5.8945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1157 loss: 2.1157 2022/07/23 00:31:13 - mmengine - INFO - Epoch(train) [40][3220/3757] lr: 1.0000e-02 eta: 14:41:37 time: 0.2267 data_time: 0.0210 memory: 6108 grad_norm: 5.6527 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5380 loss: 1.5380 2022/07/23 00:31:18 - mmengine - INFO - Epoch(train) [40][3240/3757] lr: 1.0000e-02 eta: 14:41:32 time: 0.2292 data_time: 0.0240 memory: 6108 grad_norm: 5.8745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9481 loss: 1.9481 2022/07/23 00:31:23 - mmengine - INFO - Epoch(train) [40][3260/3757] lr: 1.0000e-02 eta: 14:41:28 time: 0.2372 data_time: 0.0195 memory: 6108 grad_norm: 5.8300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/07/23 00:31:27 - mmengine - INFO - Epoch(train) [40][3280/3757] lr: 1.0000e-02 eta: 14:41:23 time: 0.2257 data_time: 0.0220 memory: 6108 grad_norm: 5.8894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9698 loss: 1.9698 2022/07/23 00:31:32 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 1.0000e-02 eta: 14:41:18 time: 0.2365 data_time: 0.0249 memory: 6108 grad_norm: 5.8519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7773 loss: 1.7773 2022/07/23 00:31:36 - mmengine - INFO - Epoch(train) [40][3320/3757] lr: 1.0000e-02 eta: 14:41:13 time: 0.2268 data_time: 0.0260 memory: 6108 grad_norm: 5.6082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0472 loss: 2.0472 2022/07/23 00:31:41 - mmengine - INFO - Epoch(train) [40][3340/3757] lr: 1.0000e-02 eta: 14:41:08 time: 0.2240 data_time: 0.0204 memory: 6108 grad_norm: 5.7013 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9593 loss: 1.9593 2022/07/23 00:31:46 - mmengine - INFO - Epoch(train) [40][3360/3757] lr: 1.0000e-02 eta: 14:41:04 time: 0.2525 data_time: 0.0483 memory: 6108 grad_norm: 5.6039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3424 loss: 2.3424 2022/07/23 00:31:51 - mmengine - INFO - Epoch(train) [40][3380/3757] lr: 1.0000e-02 eta: 14:40:59 time: 0.2352 data_time: 0.0157 memory: 6108 grad_norm: 5.5956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/07/23 00:31:55 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 1.0000e-02 eta: 14:40:55 time: 0.2305 data_time: 0.0265 memory: 6108 grad_norm: 5.8755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7719 loss: 1.7719 2022/07/23 00:32:00 - mmengine - INFO - Epoch(train) [40][3420/3757] lr: 1.0000e-02 eta: 14:40:50 time: 0.2370 data_time: 0.0197 memory: 6108 grad_norm: 5.7734 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1477 loss: 2.1477 2022/07/23 00:32:05 - mmengine - INFO - Epoch(train) [40][3440/3757] lr: 1.0000e-02 eta: 14:40:45 time: 0.2267 data_time: 0.0250 memory: 6108 grad_norm: 5.5880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0049 loss: 2.0049 2022/07/23 00:32:09 - mmengine - INFO - Epoch(train) [40][3460/3757] lr: 1.0000e-02 eta: 14:40:40 time: 0.2242 data_time: 0.0227 memory: 6108 grad_norm: 5.5767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0404 loss: 2.0404 2022/07/23 00:32:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:32:14 - mmengine - INFO - Epoch(train) [40][3480/3757] lr: 1.0000e-02 eta: 14:40:35 time: 0.2222 data_time: 0.0200 memory: 6108 grad_norm: 5.9055 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2725 loss: 2.2725 2022/07/23 00:32:19 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 1.0000e-02 eta: 14:40:31 time: 0.2649 data_time: 0.0200 memory: 6108 grad_norm: 5.8517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/07/23 00:32:23 - mmengine - INFO - Epoch(train) [40][3520/3757] lr: 1.0000e-02 eta: 14:40:26 time: 0.2250 data_time: 0.0249 memory: 6108 grad_norm: 5.6406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8975 loss: 1.8975 2022/07/23 00:32:28 - mmengine - INFO - Epoch(train) [40][3540/3757] lr: 1.0000e-02 eta: 14:40:21 time: 0.2232 data_time: 0.0252 memory: 6108 grad_norm: 5.6579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8683 loss: 1.8683 2022/07/23 00:32:33 - mmengine - INFO - Epoch(train) [40][3560/3757] lr: 1.0000e-02 eta: 14:40:17 time: 0.2414 data_time: 0.0195 memory: 6108 grad_norm: 5.8003 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1220 loss: 2.1220 2022/07/23 00:32:38 - mmengine - INFO - Epoch(train) [40][3580/3757] lr: 1.0000e-02 eta: 14:40:12 time: 0.2364 data_time: 0.0207 memory: 6108 grad_norm: 5.5658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6162 loss: 1.6162 2022/07/23 00:32:42 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 1.0000e-02 eta: 14:40:08 time: 0.2424 data_time: 0.0194 memory: 6108 grad_norm: 5.7820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0007 loss: 2.0007 2022/07/23 00:32:47 - mmengine - INFO - Epoch(train) [40][3620/3757] lr: 1.0000e-02 eta: 14:40:03 time: 0.2260 data_time: 0.0253 memory: 6108 grad_norm: 5.6999 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7747 loss: 1.7747 2022/07/23 00:32:51 - mmengine - INFO - Epoch(train) [40][3640/3757] lr: 1.0000e-02 eta: 14:39:58 time: 0.2286 data_time: 0.0233 memory: 6108 grad_norm: 5.7128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1009 loss: 2.1009 2022/07/23 00:32:56 - mmengine - INFO - Epoch(train) [40][3660/3757] lr: 1.0000e-02 eta: 14:39:53 time: 0.2363 data_time: 0.0214 memory: 6108 grad_norm: 5.8222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9543 loss: 1.9543 2022/07/23 00:33:01 - mmengine - INFO - Epoch(train) [40][3680/3757] lr: 1.0000e-02 eta: 14:39:49 time: 0.2385 data_time: 0.0195 memory: 6108 grad_norm: 5.7500 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9795 loss: 1.9795 2022/07/23 00:33:06 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 1.0000e-02 eta: 14:39:44 time: 0.2273 data_time: 0.0205 memory: 6108 grad_norm: 5.6668 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9593 loss: 1.9593 2022/07/23 00:33:10 - mmengine - INFO - Epoch(train) [40][3720/3757] lr: 1.0000e-02 eta: 14:39:39 time: 0.2287 data_time: 0.0210 memory: 6108 grad_norm: 5.7935 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1682 loss: 2.1682 2022/07/23 00:33:15 - mmengine - INFO - Epoch(train) [40][3740/3757] lr: 1.0000e-02 eta: 14:39:34 time: 0.2323 data_time: 0.0239 memory: 6108 grad_norm: 5.7537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/07/23 00:33:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:33:18 - mmengine - INFO - Epoch(train) [40][3757/3757] lr: 1.0000e-02 eta: 14:39:34 time: 0.2021 data_time: 0.0186 memory: 6108 grad_norm: 5.6410 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.0272 loss: 2.0272 2022/07/23 00:33:18 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/07/23 00:33:27 - mmengine - INFO - Epoch(val) [40][20/310] eta: 0:01:19 time: 0.2740 data_time: 0.1964 memory: 1428 2022/07/23 00:33:31 - mmengine - INFO - Epoch(val) [40][40/310] eta: 0:00:52 time: 0.1961 data_time: 0.1176 memory: 1428 2022/07/23 00:33:35 - mmengine - INFO - Epoch(val) [40][60/310] eta: 0:00:54 time: 0.2163 data_time: 0.1398 memory: 1428 2022/07/23 00:33:39 - mmengine - INFO - Epoch(val) [40][80/310] eta: 0:00:47 time: 0.2081 data_time: 0.1359 memory: 1428 2022/07/23 00:33:44 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:00:45 time: 0.2185 data_time: 0.1432 memory: 1428 2022/07/23 00:33:48 - mmengine - INFO - Epoch(val) [40][120/310] eta: 0:00:38 time: 0.2024 data_time: 0.1275 memory: 1428 2022/07/23 00:33:53 - mmengine - INFO - Epoch(val) [40][140/310] eta: 0:00:42 time: 0.2479 data_time: 0.1730 memory: 1428 2022/07/23 00:33:56 - mmengine - INFO - Epoch(val) [40][160/310] eta: 0:00:27 time: 0.1838 data_time: 0.1073 memory: 1428 2022/07/23 00:34:01 - mmengine - INFO - Epoch(val) [40][180/310] eta: 0:00:31 time: 0.2439 data_time: 0.1565 memory: 1428 2022/07/23 00:34:05 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:00:19 time: 0.1810 data_time: 0.1063 memory: 1428 2022/07/23 00:34:11 - mmengine - INFO - Epoch(val) [40][220/310] eta: 0:00:27 time: 0.3011 data_time: 0.2257 memory: 1428 2022/07/23 00:34:15 - mmengine - INFO - Epoch(val) [40][240/310] eta: 0:00:13 time: 0.1898 data_time: 0.1143 memory: 1428 2022/07/23 00:34:20 - mmengine - INFO - Epoch(val) [40][260/310] eta: 0:00:12 time: 0.2516 data_time: 0.1744 memory: 1428 2022/07/23 00:34:23 - mmengine - INFO - Epoch(val) [40][280/310] eta: 0:00:05 time: 0.1691 data_time: 0.0979 memory: 1428 2022/07/23 00:34:26 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:01 time: 0.1432 data_time: 0.0873 memory: 1428 2022/07/23 00:34:29 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.5641 acc/top5: 0.8035 acc/mean1: 0.5640 2022/07/23 00:34:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_38.pth is removed 2022/07/23 00:34:32 - mmengine - INFO - The best checkpoint with 0.5641 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/07/23 00:34:37 - mmengine - INFO - Epoch(train) [41][20/3757] lr: 1.0000e-03 eta: 14:39:20 time: 0.2484 data_time: 0.0565 memory: 6108 grad_norm: 5.6921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9486 loss: 1.9486 2022/07/23 00:34:42 - mmengine - INFO - Epoch(train) [41][40/3757] lr: 1.0000e-03 eta: 14:39:15 time: 0.2294 data_time: 0.0192 memory: 6108 grad_norm: 5.7170 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8329 loss: 1.8329 2022/07/23 00:34:47 - mmengine - INFO - Epoch(train) [41][60/3757] lr: 1.0000e-03 eta: 14:39:10 time: 0.2278 data_time: 0.0275 memory: 6108 grad_norm: 5.5588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7939 loss: 1.7939 2022/07/23 00:34:52 - mmengine - INFO - Epoch(train) [41][80/3757] lr: 1.0000e-03 eta: 14:39:07 time: 0.2577 data_time: 0.0638 memory: 6108 grad_norm: 5.4173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7637 loss: 1.7637 2022/07/23 00:34:56 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 1.0000e-03 eta: 14:39:02 time: 0.2257 data_time: 0.0199 memory: 6108 grad_norm: 5.4588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8614 loss: 1.8614 2022/07/23 00:35:01 - mmengine - INFO - Epoch(train) [41][120/3757] lr: 1.0000e-03 eta: 14:38:57 time: 0.2291 data_time: 0.0212 memory: 6108 grad_norm: 5.5245 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9733 loss: 1.9733 2022/07/23 00:35:06 - mmengine - INFO - Epoch(train) [41][140/3757] lr: 1.0000e-03 eta: 14:38:52 time: 0.2341 data_time: 0.0186 memory: 6108 grad_norm: 5.2786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5911 loss: 1.5911 2022/07/23 00:35:10 - mmengine - INFO - Epoch(train) [41][160/3757] lr: 1.0000e-03 eta: 14:38:47 time: 0.2264 data_time: 0.0238 memory: 6108 grad_norm: 5.4829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6411 loss: 1.6411 2022/07/23 00:35:15 - mmengine - INFO - Epoch(train) [41][180/3757] lr: 1.0000e-03 eta: 14:38:42 time: 0.2259 data_time: 0.0225 memory: 6108 grad_norm: 5.4433 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9086 loss: 1.9086 2022/07/23 00:35:20 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 1.0000e-03 eta: 14:38:38 time: 0.2434 data_time: 0.0187 memory: 6108 grad_norm: 5.3675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7874 loss: 1.7874 2022/07/23 00:35:24 - mmengine - INFO - Epoch(train) [41][220/3757] lr: 1.0000e-03 eta: 14:38:33 time: 0.2334 data_time: 0.0204 memory: 6108 grad_norm: 5.3193 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7777 loss: 1.7777 2022/07/23 00:35:29 - mmengine - INFO - Epoch(train) [41][240/3757] lr: 1.0000e-03 eta: 14:38:28 time: 0.2355 data_time: 0.0243 memory: 6108 grad_norm: 5.3662 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6593 loss: 1.6593 2022/07/23 00:35:34 - mmengine - INFO - Epoch(train) [41][260/3757] lr: 1.0000e-03 eta: 14:38:24 time: 0.2332 data_time: 0.0216 memory: 6108 grad_norm: 5.6159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0376 loss: 2.0376 2022/07/23 00:35:38 - mmengine - INFO - Epoch(train) [41][280/3757] lr: 1.0000e-03 eta: 14:38:19 time: 0.2375 data_time: 0.0296 memory: 6108 grad_norm: 5.4246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7517 loss: 1.7517 2022/07/23 00:35:43 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 1.0000e-03 eta: 14:38:15 time: 0.2353 data_time: 0.0231 memory: 6108 grad_norm: 5.4581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7602 loss: 1.7602 2022/07/23 00:35:48 - mmengine - INFO - Epoch(train) [41][320/3757] lr: 1.0000e-03 eta: 14:38:10 time: 0.2275 data_time: 0.0204 memory: 6108 grad_norm: 5.4104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6809 loss: 1.6809 2022/07/23 00:35:52 - mmengine - INFO - Epoch(train) [41][340/3757] lr: 1.0000e-03 eta: 14:38:05 time: 0.2251 data_time: 0.0220 memory: 6108 grad_norm: 5.3814 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7879 loss: 1.7879 2022/07/23 00:35:57 - mmengine - INFO - Epoch(train) [41][360/3757] lr: 1.0000e-03 eta: 14:38:00 time: 0.2342 data_time: 0.0211 memory: 6108 grad_norm: 5.2573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7165 loss: 1.7165 2022/07/23 00:36:02 - mmengine - INFO - Epoch(train) [41][380/3757] lr: 1.0000e-03 eta: 14:37:55 time: 0.2378 data_time: 0.0205 memory: 6108 grad_norm: 5.3673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7586 loss: 1.7586 2022/07/23 00:36:06 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 1.0000e-03 eta: 14:37:51 time: 0.2372 data_time: 0.0238 memory: 6108 grad_norm: 5.2322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2767 loss: 1.2767 2022/07/23 00:36:11 - mmengine - INFO - Epoch(train) [41][420/3757] lr: 1.0000e-03 eta: 14:37:46 time: 0.2400 data_time: 0.0248 memory: 6108 grad_norm: 5.4292 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9235 loss: 1.9235 2022/07/23 00:36:16 - mmengine - INFO - Epoch(train) [41][440/3757] lr: 1.0000e-03 eta: 14:37:42 time: 0.2275 data_time: 0.0242 memory: 6108 grad_norm: 5.5722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5788 loss: 1.5788 2022/07/23 00:36:21 - mmengine - INFO - Epoch(train) [41][460/3757] lr: 1.0000e-03 eta: 14:37:37 time: 0.2369 data_time: 0.0236 memory: 6108 grad_norm: 5.4239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7270 loss: 1.7270 2022/07/23 00:36:25 - mmengine - INFO - Epoch(train) [41][480/3757] lr: 1.0000e-03 eta: 14:37:32 time: 0.2266 data_time: 0.0245 memory: 6108 grad_norm: 5.3387 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0694 loss: 2.0694 2022/07/23 00:36:30 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 1.0000e-03 eta: 14:37:27 time: 0.2297 data_time: 0.0191 memory: 6108 grad_norm: 5.5637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8150 loss: 1.8150 2022/07/23 00:36:34 - mmengine - INFO - Epoch(train) [41][520/3757] lr: 1.0000e-03 eta: 14:37:22 time: 0.2282 data_time: 0.0269 memory: 6108 grad_norm: 5.3632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8432 loss: 1.8432 2022/07/23 00:36:39 - mmengine - INFO - Epoch(train) [41][540/3757] lr: 1.0000e-03 eta: 14:37:18 time: 0.2411 data_time: 0.0269 memory: 6108 grad_norm: 5.3714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6222 loss: 1.6222 2022/07/23 00:36:44 - mmengine - INFO - Epoch(train) [41][560/3757] lr: 1.0000e-03 eta: 14:37:13 time: 0.2369 data_time: 0.0186 memory: 6108 grad_norm: 5.3525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7169 loss: 1.7169 2022/07/23 00:36:49 - mmengine - INFO - Epoch(train) [41][580/3757] lr: 1.0000e-03 eta: 14:37:08 time: 0.2286 data_time: 0.0217 memory: 6108 grad_norm: 5.3073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6662 loss: 1.6662 2022/07/23 00:36:53 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 1.0000e-03 eta: 14:37:03 time: 0.2233 data_time: 0.0231 memory: 6108 grad_norm: 5.3227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7116 loss: 1.7116 2022/07/23 00:36:58 - mmengine - INFO - Epoch(train) [41][620/3757] lr: 1.0000e-03 eta: 14:37:00 time: 0.2713 data_time: 0.0625 memory: 6108 grad_norm: 5.4218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6853 loss: 1.6853 2022/07/23 00:37:03 - mmengine - INFO - Epoch(train) [41][640/3757] lr: 1.0000e-03 eta: 14:36:55 time: 0.2276 data_time: 0.0235 memory: 6108 grad_norm: 5.3863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9058 loss: 1.9058 2022/07/23 00:37:08 - mmengine - INFO - Epoch(train) [41][660/3757] lr: 1.0000e-03 eta: 14:36:50 time: 0.2261 data_time: 0.0201 memory: 6108 grad_norm: 5.3246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/07/23 00:37:13 - mmengine - INFO - Epoch(train) [41][680/3757] lr: 1.0000e-03 eta: 14:36:46 time: 0.2529 data_time: 0.0201 memory: 6108 grad_norm: 5.5271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5966 loss: 1.5966 2022/07/23 00:37:17 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 1.0000e-03 eta: 14:36:41 time: 0.2253 data_time: 0.0202 memory: 6108 grad_norm: 5.3755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9328 loss: 1.9328 2022/07/23 00:37:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:37:22 - mmengine - INFO - Epoch(train) [41][720/3757] lr: 1.0000e-03 eta: 14:36:36 time: 0.2385 data_time: 0.0246 memory: 6108 grad_norm: 5.3424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6759 loss: 1.6759 2022/07/23 00:37:26 - mmengine - INFO - Epoch(train) [41][740/3757] lr: 1.0000e-03 eta: 14:36:31 time: 0.2248 data_time: 0.0211 memory: 6108 grad_norm: 5.3518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/07/23 00:37:31 - mmengine - INFO - Epoch(train) [41][760/3757] lr: 1.0000e-03 eta: 14:36:27 time: 0.2294 data_time: 0.0246 memory: 6108 grad_norm: 5.2203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4742 loss: 1.4742 2022/07/23 00:37:36 - mmengine - INFO - Epoch(train) [41][780/3757] lr: 1.0000e-03 eta: 14:36:22 time: 0.2463 data_time: 0.0210 memory: 6108 grad_norm: 5.5639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6659 loss: 1.6659 2022/07/23 00:37:40 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 1.0000e-03 eta: 14:36:17 time: 0.2236 data_time: 0.0179 memory: 6108 grad_norm: 5.3624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7637 loss: 1.7637 2022/07/23 00:37:45 - mmengine - INFO - Epoch(train) [41][820/3757] lr: 1.0000e-03 eta: 14:36:13 time: 0.2439 data_time: 0.0188 memory: 6108 grad_norm: 5.2768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7337 loss: 1.7337 2022/07/23 00:37:50 - mmengine - INFO - Epoch(train) [41][840/3757] lr: 1.0000e-03 eta: 14:36:08 time: 0.2380 data_time: 0.0199 memory: 6108 grad_norm: 5.4375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6015 loss: 1.6015 2022/07/23 00:37:55 - mmengine - INFO - Epoch(train) [41][860/3757] lr: 1.0000e-03 eta: 14:36:03 time: 0.2257 data_time: 0.0239 memory: 6108 grad_norm: 5.4673 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/07/23 00:37:59 - mmengine - INFO - Epoch(train) [41][880/3757] lr: 1.0000e-03 eta: 14:35:59 time: 0.2287 data_time: 0.0204 memory: 6108 grad_norm: 5.3998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6286 loss: 1.6286 2022/07/23 00:38:04 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 1.0000e-03 eta: 14:35:54 time: 0.2282 data_time: 0.0212 memory: 6108 grad_norm: 5.5488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/07/23 00:38:09 - mmengine - INFO - Epoch(train) [41][920/3757] lr: 1.0000e-03 eta: 14:35:49 time: 0.2429 data_time: 0.0172 memory: 6108 grad_norm: 5.3905 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5450 loss: 1.5450 2022/07/23 00:38:13 - mmengine - INFO - Epoch(train) [41][940/3757] lr: 1.0000e-03 eta: 14:35:44 time: 0.2235 data_time: 0.0198 memory: 6108 grad_norm: 5.5201 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7535 loss: 1.7535 2022/07/23 00:38:18 - mmengine - INFO - Epoch(train) [41][960/3757] lr: 1.0000e-03 eta: 14:35:40 time: 0.2281 data_time: 0.0296 memory: 6108 grad_norm: 5.4455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6084 loss: 1.6084 2022/07/23 00:38:22 - mmengine - INFO - Epoch(train) [41][980/3757] lr: 1.0000e-03 eta: 14:35:35 time: 0.2307 data_time: 0.0204 memory: 6108 grad_norm: 5.4789 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6178 loss: 1.6178 2022/07/23 00:38:27 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 1.0000e-03 eta: 14:35:30 time: 0.2258 data_time: 0.0208 memory: 6108 grad_norm: 5.3988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/07/23 00:38:32 - mmengine - INFO - Epoch(train) [41][1020/3757] lr: 1.0000e-03 eta: 14:35:26 time: 0.2584 data_time: 0.0212 memory: 6108 grad_norm: 5.2669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5051 loss: 1.5051 2022/07/23 00:38:37 - mmengine - INFO - Epoch(train) [41][1040/3757] lr: 1.0000e-03 eta: 14:35:21 time: 0.2247 data_time: 0.0214 memory: 6108 grad_norm: 5.4750 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4354 loss: 1.4354 2022/07/23 00:38:41 - mmengine - INFO - Epoch(train) [41][1060/3757] lr: 1.0000e-03 eta: 14:35:16 time: 0.2263 data_time: 0.0224 memory: 6108 grad_norm: 5.4124 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7824 loss: 1.7824 2022/07/23 00:38:46 - mmengine - INFO - Epoch(train) [41][1080/3757] lr: 1.0000e-03 eta: 14:35:11 time: 0.2288 data_time: 0.0256 memory: 6108 grad_norm: 5.4552 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6230 loss: 1.6230 2022/07/23 00:38:51 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 1.0000e-03 eta: 14:35:07 time: 0.2479 data_time: 0.0176 memory: 6108 grad_norm: 5.3654 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9220 loss: 1.9220 2022/07/23 00:38:55 - mmengine - INFO - Epoch(train) [41][1120/3757] lr: 1.0000e-03 eta: 14:35:02 time: 0.2381 data_time: 0.0221 memory: 6108 grad_norm: 5.4150 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7683 loss: 1.7683 2022/07/23 00:39:00 - mmengine - INFO - Epoch(train) [41][1140/3757] lr: 1.0000e-03 eta: 14:34:58 time: 0.2332 data_time: 0.0256 memory: 6108 grad_norm: 5.3505 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6727 loss: 1.6727 2022/07/23 00:39:05 - mmengine - INFO - Epoch(train) [41][1160/3757] lr: 1.0000e-03 eta: 14:34:53 time: 0.2411 data_time: 0.0205 memory: 6108 grad_norm: 5.3816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5352 loss: 1.5352 2022/07/23 00:39:10 - mmengine - INFO - Epoch(train) [41][1180/3757] lr: 1.0000e-03 eta: 14:34:49 time: 0.2627 data_time: 0.0211 memory: 6108 grad_norm: 5.5552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6754 loss: 1.6754 2022/07/23 00:39:15 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 1.0000e-03 eta: 14:34:44 time: 0.2257 data_time: 0.0229 memory: 6108 grad_norm: 5.4150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8964 loss: 1.8964 2022/07/23 00:39:19 - mmengine - INFO - Epoch(train) [41][1220/3757] lr: 1.0000e-03 eta: 14:34:40 time: 0.2308 data_time: 0.0386 memory: 6108 grad_norm: 5.4631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5903 loss: 1.5903 2022/07/23 00:39:24 - mmengine - INFO - Epoch(train) [41][1240/3757] lr: 1.0000e-03 eta: 14:34:35 time: 0.2264 data_time: 0.0268 memory: 6108 grad_norm: 5.4335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8855 loss: 1.8855 2022/07/23 00:39:29 - mmengine - INFO - Epoch(train) [41][1260/3757] lr: 1.0000e-03 eta: 14:34:30 time: 0.2479 data_time: 0.0271 memory: 6108 grad_norm: 5.2902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4730 loss: 1.4730 2022/07/23 00:39:33 - mmengine - INFO - Epoch(train) [41][1280/3757] lr: 1.0000e-03 eta: 14:34:25 time: 0.2223 data_time: 0.0196 memory: 6108 grad_norm: 5.5947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6289 loss: 1.6289 2022/07/23 00:39:38 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 1.0000e-03 eta: 14:34:20 time: 0.2241 data_time: 0.0204 memory: 6108 grad_norm: 5.5116 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5886 loss: 1.5886 2022/07/23 00:39:42 - mmengine - INFO - Epoch(train) [41][1320/3757] lr: 1.0000e-03 eta: 14:34:15 time: 0.2237 data_time: 0.0204 memory: 6108 grad_norm: 5.5088 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5794 loss: 1.5794 2022/07/23 00:39:48 - mmengine - INFO - Epoch(train) [41][1340/3757] lr: 1.0000e-03 eta: 14:34:11 time: 0.2557 data_time: 0.0210 memory: 6108 grad_norm: 5.3895 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7659 loss: 1.7659 2022/07/23 00:39:52 - mmengine - INFO - Epoch(train) [41][1360/3757] lr: 1.0000e-03 eta: 14:34:07 time: 0.2429 data_time: 0.0219 memory: 6108 grad_norm: 5.3971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3378 loss: 1.3378 2022/07/23 00:39:57 - mmengine - INFO - Epoch(train) [41][1380/3757] lr: 1.0000e-03 eta: 14:34:02 time: 0.2297 data_time: 0.0213 memory: 6108 grad_norm: 5.4405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6383 loss: 1.6383 2022/07/23 00:40:02 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 1.0000e-03 eta: 14:33:57 time: 0.2237 data_time: 0.0271 memory: 6108 grad_norm: 5.4115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/07/23 00:40:06 - mmengine - INFO - Epoch(train) [41][1420/3757] lr: 1.0000e-03 eta: 14:33:52 time: 0.2289 data_time: 0.0210 memory: 6108 grad_norm: 5.5705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8004 loss: 1.8004 2022/07/23 00:40:11 - mmengine - INFO - Epoch(train) [41][1440/3757] lr: 1.0000e-03 eta: 14:33:48 time: 0.2418 data_time: 0.0301 memory: 6108 grad_norm: 5.4245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5892 loss: 1.5892 2022/07/23 00:40:16 - mmengine - INFO - Epoch(train) [41][1460/3757] lr: 1.0000e-03 eta: 14:33:43 time: 0.2297 data_time: 0.0226 memory: 6108 grad_norm: 5.5979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7820 loss: 1.7820 2022/07/23 00:40:20 - mmengine - INFO - Epoch(train) [41][1480/3757] lr: 1.0000e-03 eta: 14:33:38 time: 0.2253 data_time: 0.0202 memory: 6108 grad_norm: 5.4497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6346 loss: 1.6346 2022/07/23 00:40:25 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 1.0000e-03 eta: 14:33:33 time: 0.2259 data_time: 0.0261 memory: 6108 grad_norm: 5.3521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6296 loss: 1.6296 2022/07/23 00:40:30 - mmengine - INFO - Epoch(train) [41][1520/3757] lr: 1.0000e-03 eta: 14:33:29 time: 0.2661 data_time: 0.0192 memory: 6108 grad_norm: 5.3987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6927 loss: 1.6927 2022/07/23 00:40:34 - mmengine - INFO - Epoch(train) [41][1540/3757] lr: 1.0000e-03 eta: 14:33:24 time: 0.2250 data_time: 0.0198 memory: 6108 grad_norm: 5.4749 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6247 loss: 1.6247 2022/07/23 00:40:39 - mmengine - INFO - Epoch(train) [41][1560/3757] lr: 1.0000e-03 eta: 14:33:20 time: 0.2280 data_time: 0.0228 memory: 6108 grad_norm: 5.3656 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6747 loss: 1.6747 2022/07/23 00:40:44 - mmengine - INFO - Epoch(train) [41][1580/3757] lr: 1.0000e-03 eta: 14:33:15 time: 0.2287 data_time: 0.0270 memory: 6108 grad_norm: 5.4807 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/07/23 00:40:48 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 1.0000e-03 eta: 14:33:10 time: 0.2358 data_time: 0.0215 memory: 6108 grad_norm: 5.5783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8046 loss: 1.8046 2022/07/23 00:40:53 - mmengine - INFO - Epoch(train) [41][1620/3757] lr: 1.0000e-03 eta: 14:33:06 time: 0.2358 data_time: 0.0224 memory: 6108 grad_norm: 5.3672 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6188 loss: 1.6188 2022/07/23 00:40:58 - mmengine - INFO - Epoch(train) [41][1640/3757] lr: 1.0000e-03 eta: 14:33:01 time: 0.2251 data_time: 0.0209 memory: 6108 grad_norm: 5.4767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/07/23 00:41:02 - mmengine - INFO - Epoch(train) [41][1660/3757] lr: 1.0000e-03 eta: 14:32:56 time: 0.2209 data_time: 0.0224 memory: 6108 grad_norm: 5.5657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5423 loss: 1.5423 2022/07/23 00:41:07 - mmengine - INFO - Epoch(train) [41][1680/3757] lr: 1.0000e-03 eta: 14:32:51 time: 0.2368 data_time: 0.0213 memory: 6108 grad_norm: 5.5419 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7421 loss: 1.7421 2022/07/23 00:41:12 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 1.0000e-03 eta: 14:32:47 time: 0.2593 data_time: 0.0209 memory: 6108 grad_norm: 5.3272 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5055 loss: 1.5055 2022/07/23 00:41:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:41:17 - mmengine - INFO - Epoch(train) [41][1720/3757] lr: 1.0000e-03 eta: 14:32:42 time: 0.2308 data_time: 0.0287 memory: 6108 grad_norm: 5.3709 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6121 loss: 1.6121 2022/07/23 00:41:21 - mmengine - INFO - Epoch(train) [41][1740/3757] lr: 1.0000e-03 eta: 14:32:38 time: 0.2353 data_time: 0.0297 memory: 6108 grad_norm: 5.3889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8308 loss: 1.8308 2022/07/23 00:41:26 - mmengine - INFO - Epoch(train) [41][1760/3757] lr: 1.0000e-03 eta: 14:32:33 time: 0.2413 data_time: 0.0360 memory: 6108 grad_norm: 5.5370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7232 loss: 1.7232 2022/07/23 00:41:31 - mmengine - INFO - Epoch(train) [41][1780/3757] lr: 1.0000e-03 eta: 14:32:28 time: 0.2367 data_time: 0.0192 memory: 6108 grad_norm: 5.5859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/07/23 00:41:35 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 1.0000e-03 eta: 14:32:24 time: 0.2271 data_time: 0.0302 memory: 6108 grad_norm: 5.4157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6261 loss: 1.6261 2022/07/23 00:41:40 - mmengine - INFO - Epoch(train) [41][1820/3757] lr: 1.0000e-03 eta: 14:32:19 time: 0.2225 data_time: 0.0188 memory: 6108 grad_norm: 5.5195 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8356 loss: 1.8356 2022/07/23 00:41:45 - mmengine - INFO - Epoch(train) [41][1840/3757] lr: 1.0000e-03 eta: 14:32:14 time: 0.2343 data_time: 0.0295 memory: 6108 grad_norm: 5.2436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2577 loss: 1.2577 2022/07/23 00:41:49 - mmengine - INFO - Epoch(train) [41][1860/3757] lr: 1.0000e-03 eta: 14:32:09 time: 0.2400 data_time: 0.0207 memory: 6108 grad_norm: 5.4960 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9159 loss: 1.9159 2022/07/23 00:41:54 - mmengine - INFO - Epoch(train) [41][1880/3757] lr: 1.0000e-03 eta: 14:32:04 time: 0.2213 data_time: 0.0207 memory: 6108 grad_norm: 5.5347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5111 loss: 1.5111 2022/07/23 00:41:59 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 1.0000e-03 eta: 14:32:00 time: 0.2393 data_time: 0.0205 memory: 6108 grad_norm: 5.4074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4381 loss: 1.4381 2022/07/23 00:42:04 - mmengine - INFO - Epoch(train) [41][1920/3757] lr: 1.0000e-03 eta: 14:31:55 time: 0.2444 data_time: 0.0212 memory: 6108 grad_norm: 5.6583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6285 loss: 1.6285 2022/07/23 00:42:09 - mmengine - INFO - Epoch(train) [41][1940/3757] lr: 1.0000e-03 eta: 14:31:51 time: 0.2553 data_time: 0.0203 memory: 6108 grad_norm: 5.6038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8108 loss: 1.8108 2022/07/23 00:42:13 - mmengine - INFO - Epoch(train) [41][1960/3757] lr: 1.0000e-03 eta: 14:31:46 time: 0.2218 data_time: 0.0213 memory: 6108 grad_norm: 5.4537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5807 loss: 1.5807 2022/07/23 00:42:18 - mmengine - INFO - Epoch(train) [41][1980/3757] lr: 1.0000e-03 eta: 14:31:42 time: 0.2298 data_time: 0.0217 memory: 6108 grad_norm: 5.3995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7264 loss: 1.7264 2022/07/23 00:42:23 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 1.0000e-03 eta: 14:31:37 time: 0.2363 data_time: 0.0202 memory: 6108 grad_norm: 5.4820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4233 loss: 1.4233 2022/07/23 00:42:27 - mmengine - INFO - Epoch(train) [41][2020/3757] lr: 1.0000e-03 eta: 14:31:32 time: 0.2315 data_time: 0.0204 memory: 6108 grad_norm: 5.5148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/07/23 00:42:32 - mmengine - INFO - Epoch(train) [41][2040/3757] lr: 1.0000e-03 eta: 14:31:28 time: 0.2364 data_time: 0.0178 memory: 6108 grad_norm: 5.4991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6216 loss: 1.6216 2022/07/23 00:42:37 - mmengine - INFO - Epoch(train) [41][2060/3757] lr: 1.0000e-03 eta: 14:31:23 time: 0.2281 data_time: 0.0207 memory: 6108 grad_norm: 5.4769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5241 loss: 1.5241 2022/07/23 00:42:41 - mmengine - INFO - Epoch(train) [41][2080/3757] lr: 1.0000e-03 eta: 14:31:18 time: 0.2468 data_time: 0.0205 memory: 6108 grad_norm: 5.3291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7956 loss: 1.7956 2022/07/23 00:42:46 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 1.0000e-03 eta: 14:31:14 time: 0.2300 data_time: 0.0223 memory: 6108 grad_norm: 5.5695 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7973 loss: 1.7973 2022/07/23 00:42:51 - mmengine - INFO - Epoch(train) [41][2120/3757] lr: 1.0000e-03 eta: 14:31:09 time: 0.2397 data_time: 0.0203 memory: 6108 grad_norm: 5.5942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8207 loss: 1.8207 2022/07/23 00:42:55 - mmengine - INFO - Epoch(train) [41][2140/3757] lr: 1.0000e-03 eta: 14:31:04 time: 0.2225 data_time: 0.0210 memory: 6108 grad_norm: 5.3007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9829 loss: 1.9829 2022/07/23 00:43:00 - mmengine - INFO - Epoch(train) [41][2160/3757] lr: 1.0000e-03 eta: 14:30:59 time: 0.2301 data_time: 0.0182 memory: 6108 grad_norm: 5.5626 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5316 loss: 1.5316 2022/07/23 00:43:04 - mmengine - INFO - Epoch(train) [41][2180/3757] lr: 1.0000e-03 eta: 14:30:54 time: 0.2239 data_time: 0.0234 memory: 6108 grad_norm: 5.4976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5126 loss: 1.5126 2022/07/23 00:43:10 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 1.0000e-03 eta: 14:30:50 time: 0.2570 data_time: 0.0251 memory: 6108 grad_norm: 5.5520 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7046 loss: 1.7046 2022/07/23 00:43:14 - mmengine - INFO - Epoch(train) [41][2220/3757] lr: 1.0000e-03 eta: 14:30:45 time: 0.2228 data_time: 0.0211 memory: 6108 grad_norm: 5.6348 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8412 loss: 1.8412 2022/07/23 00:43:19 - mmengine - INFO - Epoch(train) [41][2240/3757] lr: 1.0000e-03 eta: 14:30:41 time: 0.2339 data_time: 0.0293 memory: 6108 grad_norm: 5.5247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7807 loss: 1.7807 2022/07/23 00:43:23 - mmengine - INFO - Epoch(train) [41][2260/3757] lr: 1.0000e-03 eta: 14:30:36 time: 0.2290 data_time: 0.0284 memory: 6108 grad_norm: 5.4839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6500 loss: 1.6500 2022/07/23 00:43:28 - mmengine - INFO - Epoch(train) [41][2280/3757] lr: 1.0000e-03 eta: 14:30:31 time: 0.2221 data_time: 0.0192 memory: 6108 grad_norm: 5.5702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2196 loss: 1.2196 2022/07/23 00:43:33 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 1.0000e-03 eta: 14:30:27 time: 0.2517 data_time: 0.0182 memory: 6108 grad_norm: 5.6181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7537 loss: 1.7537 2022/07/23 00:43:37 - mmengine - INFO - Epoch(train) [41][2320/3757] lr: 1.0000e-03 eta: 14:30:22 time: 0.2242 data_time: 0.0264 memory: 6108 grad_norm: 5.6305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6052 loss: 1.6052 2022/07/23 00:43:42 - mmengine - INFO - Epoch(train) [41][2340/3757] lr: 1.0000e-03 eta: 14:30:17 time: 0.2287 data_time: 0.0228 memory: 6108 grad_norm: 5.6168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8269 loss: 1.8269 2022/07/23 00:43:47 - mmengine - INFO - Epoch(train) [41][2360/3757] lr: 1.0000e-03 eta: 14:30:12 time: 0.2428 data_time: 0.0187 memory: 6108 grad_norm: 5.4307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6266 loss: 1.6266 2022/07/23 00:43:52 - mmengine - INFO - Epoch(train) [41][2380/3757] lr: 1.0000e-03 eta: 14:30:08 time: 0.2525 data_time: 0.0193 memory: 6108 grad_norm: 5.8379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8777 loss: 1.8777 2022/07/23 00:43:56 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 1.0000e-03 eta: 14:30:03 time: 0.2240 data_time: 0.0273 memory: 6108 grad_norm: 5.5041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4430 loss: 1.4430 2022/07/23 00:44:01 - mmengine - INFO - Epoch(train) [41][2420/3757] lr: 1.0000e-03 eta: 14:29:58 time: 0.2284 data_time: 0.0244 memory: 6108 grad_norm: 5.4794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4422 loss: 1.4422 2022/07/23 00:44:06 - mmengine - INFO - Epoch(train) [41][2440/3757] lr: 1.0000e-03 eta: 14:29:53 time: 0.2254 data_time: 0.0227 memory: 6108 grad_norm: 5.5773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2859 loss: 1.2859 2022/07/23 00:44:10 - mmengine - INFO - Epoch(train) [41][2460/3757] lr: 1.0000e-03 eta: 14:29:49 time: 0.2448 data_time: 0.0209 memory: 6108 grad_norm: 5.6242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7047 loss: 1.7047 2022/07/23 00:44:15 - mmengine - INFO - Epoch(train) [41][2480/3757] lr: 1.0000e-03 eta: 14:29:44 time: 0.2304 data_time: 0.0198 memory: 6108 grad_norm: 5.6815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/07/23 00:44:20 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 1.0000e-03 eta: 14:29:39 time: 0.2291 data_time: 0.0239 memory: 6108 grad_norm: 5.6239 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8883 loss: 1.8883 2022/07/23 00:44:24 - mmengine - INFO - Epoch(train) [41][2520/3757] lr: 1.0000e-03 eta: 14:29:35 time: 0.2286 data_time: 0.0203 memory: 6108 grad_norm: 5.4433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/07/23 00:44:29 - mmengine - INFO - Epoch(train) [41][2540/3757] lr: 1.0000e-03 eta: 14:29:30 time: 0.2474 data_time: 0.0244 memory: 6108 grad_norm: 5.5436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6783 loss: 1.6783 2022/07/23 00:44:34 - mmengine - INFO - Epoch(train) [41][2560/3757] lr: 1.0000e-03 eta: 14:29:25 time: 0.2179 data_time: 0.0221 memory: 6108 grad_norm: 5.6622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6703 loss: 1.6703 2022/07/23 00:44:38 - mmengine - INFO - Epoch(train) [41][2580/3757] lr: 1.0000e-03 eta: 14:29:20 time: 0.2251 data_time: 0.0237 memory: 6108 grad_norm: 5.5995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/07/23 00:44:43 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 1.0000e-03 eta: 14:29:16 time: 0.2422 data_time: 0.0190 memory: 6108 grad_norm: 5.5680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6396 loss: 1.6396 2022/07/23 00:44:48 - mmengine - INFO - Epoch(train) [41][2620/3757] lr: 1.0000e-03 eta: 14:29:11 time: 0.2341 data_time: 0.0237 memory: 6108 grad_norm: 5.6181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5425 loss: 1.5425 2022/07/23 00:44:53 - mmengine - INFO - Epoch(train) [41][2640/3757] lr: 1.0000e-03 eta: 14:29:07 time: 0.2426 data_time: 0.0197 memory: 6108 grad_norm: 5.6522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7613 loss: 1.7613 2022/07/23 00:44:57 - mmengine - INFO - Epoch(train) [41][2660/3757] lr: 1.0000e-03 eta: 14:29:02 time: 0.2248 data_time: 0.0272 memory: 6108 grad_norm: 5.6247 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.8383 loss: 1.8383 2022/07/23 00:45:02 - mmengine - INFO - Epoch(train) [41][2680/3757] lr: 1.0000e-03 eta: 14:28:57 time: 0.2264 data_time: 0.0205 memory: 6108 grad_norm: 5.5023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6302 loss: 1.6302 2022/07/23 00:45:06 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 1.0000e-03 eta: 14:28:52 time: 0.2309 data_time: 0.0284 memory: 6108 grad_norm: 5.5672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4257 loss: 1.4257 2022/07/23 00:45:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:45:11 - mmengine - INFO - Epoch(train) [41][2720/3757] lr: 1.0000e-03 eta: 14:28:48 time: 0.2448 data_time: 0.0229 memory: 6108 grad_norm: 5.6381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9344 loss: 1.9344 2022/07/23 00:45:16 - mmengine - INFO - Epoch(train) [41][2740/3757] lr: 1.0000e-03 eta: 14:28:43 time: 0.2401 data_time: 0.0217 memory: 6108 grad_norm: 5.6543 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6067 loss: 1.6067 2022/07/23 00:45:21 - mmengine - INFO - Epoch(train) [41][2760/3757] lr: 1.0000e-03 eta: 14:28:38 time: 0.2317 data_time: 0.0209 memory: 6108 grad_norm: 5.5207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6617 loss: 1.6617 2022/07/23 00:45:25 - mmengine - INFO - Epoch(train) [41][2780/3757] lr: 1.0000e-03 eta: 14:28:34 time: 0.2358 data_time: 0.0183 memory: 6108 grad_norm: 5.8590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8564 loss: 1.8564 2022/07/23 00:45:30 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 1.0000e-03 eta: 14:28:29 time: 0.2348 data_time: 0.0202 memory: 6108 grad_norm: 5.6395 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7033 loss: 1.7033 2022/07/23 00:45:35 - mmengine - INFO - Epoch(train) [41][2820/3757] lr: 1.0000e-03 eta: 14:28:24 time: 0.2299 data_time: 0.0241 memory: 6108 grad_norm: 5.6511 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6673 loss: 1.6673 2022/07/23 00:45:39 - mmengine - INFO - Epoch(train) [41][2840/3757] lr: 1.0000e-03 eta: 14:28:20 time: 0.2323 data_time: 0.0228 memory: 6108 grad_norm: 5.3556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6905 loss: 1.6905 2022/07/23 00:45:44 - mmengine - INFO - Epoch(train) [41][2860/3757] lr: 1.0000e-03 eta: 14:28:14 time: 0.2221 data_time: 0.0197 memory: 6108 grad_norm: 5.4926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5480 loss: 1.5480 2022/07/23 00:45:48 - mmengine - INFO - Epoch(train) [41][2880/3757] lr: 1.0000e-03 eta: 14:28:10 time: 0.2309 data_time: 0.0217 memory: 6108 grad_norm: 5.4096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6276 loss: 1.6276 2022/07/23 00:45:53 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 1.0000e-03 eta: 14:28:05 time: 0.2412 data_time: 0.0200 memory: 6108 grad_norm: 5.4047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/07/23 00:45:58 - mmengine - INFO - Epoch(train) [41][2920/3757] lr: 1.0000e-03 eta: 14:28:00 time: 0.2297 data_time: 0.0243 memory: 6108 grad_norm: 5.7770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4966 loss: 1.4966 2022/07/23 00:46:03 - mmengine - INFO - Epoch(train) [41][2940/3757] lr: 1.0000e-03 eta: 14:27:56 time: 0.2349 data_time: 0.0249 memory: 6108 grad_norm: 5.6692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6453 loss: 1.6453 2022/07/23 00:46:07 - mmengine - INFO - Epoch(train) [41][2960/3757] lr: 1.0000e-03 eta: 14:27:51 time: 0.2250 data_time: 0.0185 memory: 6108 grad_norm: 5.4525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6596 loss: 1.6596 2022/07/23 00:46:12 - mmengine - INFO - Epoch(train) [41][2980/3757] lr: 1.0000e-03 eta: 14:27:46 time: 0.2390 data_time: 0.0224 memory: 6108 grad_norm: 5.5010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4232 loss: 1.4232 2022/07/23 00:46:17 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 1.0000e-03 eta: 14:27:42 time: 0.2638 data_time: 0.0691 memory: 6108 grad_norm: 5.5053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7322 loss: 1.7322 2022/07/23 00:46:22 - mmengine - INFO - Epoch(train) [41][3020/3757] lr: 1.0000e-03 eta: 14:27:38 time: 0.2303 data_time: 0.0284 memory: 6108 grad_norm: 5.5263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7072 loss: 1.7072 2022/07/23 00:46:26 - mmengine - INFO - Epoch(train) [41][3040/3757] lr: 1.0000e-03 eta: 14:27:33 time: 0.2265 data_time: 0.0163 memory: 6108 grad_norm: 5.7851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7582 loss: 1.7582 2022/07/23 00:46:31 - mmengine - INFO - Epoch(train) [41][3060/3757] lr: 1.0000e-03 eta: 14:27:28 time: 0.2460 data_time: 0.0262 memory: 6108 grad_norm: 5.5619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6960 loss: 1.6960 2022/07/23 00:46:36 - mmengine - INFO - Epoch(train) [41][3080/3757] lr: 1.0000e-03 eta: 14:27:24 time: 0.2292 data_time: 0.0237 memory: 6108 grad_norm: 5.5349 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7799 loss: 1.7799 2022/07/23 00:46:40 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 1.0000e-03 eta: 14:27:19 time: 0.2267 data_time: 0.0205 memory: 6108 grad_norm: 5.8173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/07/23 00:46:45 - mmengine - INFO - Epoch(train) [41][3120/3757] lr: 1.0000e-03 eta: 14:27:14 time: 0.2331 data_time: 0.0263 memory: 6108 grad_norm: 5.4987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7045 loss: 1.7045 2022/07/23 00:46:51 - mmengine - INFO - Epoch(train) [41][3140/3757] lr: 1.0000e-03 eta: 14:27:10 time: 0.2736 data_time: 0.0235 memory: 6108 grad_norm: 5.8593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0216 loss: 2.0216 2022/07/23 00:46:55 - mmengine - INFO - Epoch(train) [41][3160/3757] lr: 1.0000e-03 eta: 14:27:05 time: 0.2160 data_time: 0.0197 memory: 6108 grad_norm: 5.6262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4545 loss: 1.4545 2022/07/23 00:46:59 - mmengine - INFO - Epoch(train) [41][3180/3757] lr: 1.0000e-03 eta: 14:27:00 time: 0.2235 data_time: 0.0236 memory: 6108 grad_norm: 5.5543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6312 loss: 1.6312 2022/07/23 00:47:04 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 1.0000e-03 eta: 14:26:55 time: 0.2283 data_time: 0.0211 memory: 6108 grad_norm: 5.7820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9136 loss: 1.9136 2022/07/23 00:47:08 - mmengine - INFO - Epoch(train) [41][3220/3757] lr: 1.0000e-03 eta: 14:26:50 time: 0.2236 data_time: 0.0259 memory: 6108 grad_norm: 5.5366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6951 loss: 1.6951 2022/07/23 00:47:14 - mmengine - INFO - Epoch(train) [41][3240/3757] lr: 1.0000e-03 eta: 14:26:46 time: 0.2529 data_time: 0.0185 memory: 6108 grad_norm: 5.4304 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6543 loss: 1.6543 2022/07/23 00:47:18 - mmengine - INFO - Epoch(train) [41][3260/3757] lr: 1.0000e-03 eta: 14:26:42 time: 0.2307 data_time: 0.0211 memory: 6108 grad_norm: 5.5761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7519 loss: 1.7519 2022/07/23 00:47:23 - mmengine - INFO - Epoch(train) [41][3280/3757] lr: 1.0000e-03 eta: 14:26:37 time: 0.2404 data_time: 0.0251 memory: 6108 grad_norm: 5.7015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7923 loss: 1.7923 2022/07/23 00:47:28 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 1.0000e-03 eta: 14:26:32 time: 0.2364 data_time: 0.0211 memory: 6108 grad_norm: 5.4039 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4551 loss: 1.4551 2022/07/23 00:47:32 - mmengine - INFO - Epoch(train) [41][3320/3757] lr: 1.0000e-03 eta: 14:26:27 time: 0.2232 data_time: 0.0225 memory: 6108 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7437 loss: 1.7437 2022/07/23 00:47:37 - mmengine - INFO - Epoch(train) [41][3340/3757] lr: 1.0000e-03 eta: 14:26:23 time: 0.2298 data_time: 0.0208 memory: 6108 grad_norm: 5.6469 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3979 loss: 1.3979 2022/07/23 00:47:42 - mmengine - INFO - Epoch(train) [41][3360/3757] lr: 1.0000e-03 eta: 14:26:19 time: 0.2562 data_time: 0.0193 memory: 6108 grad_norm: 5.6482 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7956 loss: 1.7956 2022/07/23 00:47:47 - mmengine - INFO - Epoch(train) [41][3380/3757] lr: 1.0000e-03 eta: 14:26:14 time: 0.2408 data_time: 0.0229 memory: 6108 grad_norm: 5.6763 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7821 loss: 1.7821 2022/07/23 00:47:52 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 1.0000e-03 eta: 14:26:09 time: 0.2333 data_time: 0.0220 memory: 6108 grad_norm: 5.5882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5986 loss: 1.5986 2022/07/23 00:47:56 - mmengine - INFO - Epoch(train) [41][3420/3757] lr: 1.0000e-03 eta: 14:26:04 time: 0.2235 data_time: 0.0207 memory: 6108 grad_norm: 5.6057 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6060 loss: 1.6060 2022/07/23 00:48:02 - mmengine - INFO - Epoch(train) [41][3440/3757] lr: 1.0000e-03 eta: 14:26:01 time: 0.2746 data_time: 0.0213 memory: 6108 grad_norm: 5.4056 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5058 loss: 1.5058 2022/07/23 00:48:06 - mmengine - INFO - Epoch(train) [41][3460/3757] lr: 1.0000e-03 eta: 14:25:56 time: 0.2242 data_time: 0.0210 memory: 6108 grad_norm: 5.5108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4234 loss: 1.4234 2022/07/23 00:48:11 - mmengine - INFO - Epoch(train) [41][3480/3757] lr: 1.0000e-03 eta: 14:25:51 time: 0.2265 data_time: 0.0236 memory: 6108 grad_norm: 5.5328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6556 loss: 1.6556 2022/07/23 00:48:15 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 1.0000e-03 eta: 14:25:46 time: 0.2269 data_time: 0.0270 memory: 6108 grad_norm: 5.3968 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/07/23 00:48:20 - mmengine - INFO - Epoch(train) [41][3520/3757] lr: 1.0000e-03 eta: 14:25:42 time: 0.2431 data_time: 0.0211 memory: 6108 grad_norm: 5.6837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5395 loss: 1.5395 2022/07/23 00:48:24 - mmengine - INFO - Epoch(train) [41][3540/3757] lr: 1.0000e-03 eta: 14:25:37 time: 0.2244 data_time: 0.0176 memory: 6108 grad_norm: 5.6623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7115 loss: 1.7115 2022/07/23 00:48:30 - mmengine - INFO - Epoch(train) [41][3560/3757] lr: 1.0000e-03 eta: 14:25:33 time: 0.2609 data_time: 0.0205 memory: 6108 grad_norm: 5.7236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7208 loss: 1.7208 2022/07/23 00:48:34 - mmengine - INFO - Epoch(train) [41][3580/3757] lr: 1.0000e-03 eta: 14:25:28 time: 0.2352 data_time: 0.0228 memory: 6108 grad_norm: 5.6032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/07/23 00:48:39 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 1.0000e-03 eta: 14:25:23 time: 0.2302 data_time: 0.0196 memory: 6108 grad_norm: 5.6583 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5428 loss: 1.5428 2022/07/23 00:48:44 - mmengine - INFO - Epoch(train) [41][3620/3757] lr: 1.0000e-03 eta: 14:25:19 time: 0.2369 data_time: 0.0207 memory: 6108 grad_norm: 5.7080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6473 loss: 1.6473 2022/07/23 00:48:48 - mmengine - INFO - Epoch(train) [41][3640/3757] lr: 1.0000e-03 eta: 14:25:14 time: 0.2218 data_time: 0.0179 memory: 6108 grad_norm: 5.5146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7316 loss: 1.7316 2022/07/23 00:48:53 - mmengine - INFO - Epoch(train) [41][3660/3757] lr: 1.0000e-03 eta: 14:25:09 time: 0.2337 data_time: 0.0210 memory: 6108 grad_norm: 5.5016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5383 loss: 1.5383 2022/07/23 00:48:58 - mmengine - INFO - Epoch(train) [41][3680/3757] lr: 1.0000e-03 eta: 14:25:04 time: 0.2276 data_time: 0.0210 memory: 6108 grad_norm: 5.8278 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7511 loss: 1.7511 2022/07/23 00:49:02 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 1.0000e-03 eta: 14:25:00 time: 0.2462 data_time: 0.0228 memory: 6108 grad_norm: 5.5557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6446 loss: 1.6446 2022/07/23 00:49:07 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:49:07 - mmengine - INFO - Epoch(train) [41][3720/3757] lr: 1.0000e-03 eta: 14:24:55 time: 0.2228 data_time: 0.0184 memory: 6108 grad_norm: 5.7874 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6432 loss: 1.6432 2022/07/23 00:49:11 - mmengine - INFO - Epoch(train) [41][3740/3757] lr: 1.0000e-03 eta: 14:24:50 time: 0.2237 data_time: 0.0276 memory: 6108 grad_norm: 5.5795 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5688 loss: 1.5688 2022/07/23 00:49:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:49:15 - mmengine - INFO - Epoch(train) [41][3757/3757] lr: 1.0000e-03 eta: 14:24:50 time: 0.1972 data_time: 0.0170 memory: 6108 grad_norm: 5.5579 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3434 loss: 1.3434 2022/07/23 00:49:20 - mmengine - INFO - Epoch(val) [41][20/310] eta: 0:01:23 time: 0.2891 data_time: 0.2125 memory: 1428 2022/07/23 00:49:24 - mmengine - INFO - Epoch(val) [41][40/310] eta: 0:00:50 time: 0.1860 data_time: 0.1077 memory: 1428 2022/07/23 00:49:29 - mmengine - INFO - Epoch(val) [41][60/310] eta: 0:00:53 time: 0.2159 data_time: 0.1399 memory: 1428 2022/07/23 00:49:32 - mmengine - INFO - Epoch(val) [41][80/310] eta: 0:00:43 time: 0.1878 data_time: 0.1129 memory: 1428 2022/07/23 00:49:37 - mmengine - INFO - Epoch(val) [41][100/310] eta: 0:00:48 time: 0.2308 data_time: 0.1555 memory: 1428 2022/07/23 00:49:41 - mmengine - INFO - Epoch(val) [41][120/310] eta: 0:00:34 time: 0.1838 data_time: 0.1108 memory: 1428 2022/07/23 00:49:46 - mmengine - INFO - Epoch(val) [41][140/310] eta: 0:00:42 time: 0.2488 data_time: 0.1752 memory: 1428 2022/07/23 00:49:49 - mmengine - INFO - Epoch(val) [41][160/310] eta: 0:00:28 time: 0.1867 data_time: 0.1160 memory: 1428 2022/07/23 00:49:54 - mmengine - INFO - Epoch(val) [41][180/310] eta: 0:00:31 time: 0.2392 data_time: 0.1639 memory: 1428 2022/07/23 00:49:58 - mmengine - INFO - Epoch(val) [41][200/310] eta: 0:00:20 time: 0.1855 data_time: 0.1089 memory: 1428 2022/07/23 00:50:04 - mmengine - INFO - Epoch(val) [41][220/310] eta: 0:00:25 time: 0.2851 data_time: 0.2102 memory: 1428 2022/07/23 00:50:07 - mmengine - INFO - Epoch(val) [41][240/310] eta: 0:00:12 time: 0.1779 data_time: 0.1025 memory: 1428 2022/07/23 00:50:12 - mmengine - INFO - Epoch(val) [41][260/310] eta: 0:00:12 time: 0.2435 data_time: 0.1686 memory: 1428 2022/07/23 00:50:16 - mmengine - INFO - Epoch(val) [41][280/310] eta: 0:00:05 time: 0.1875 data_time: 0.1107 memory: 1428 2022/07/23 00:50:20 - mmengine - INFO - Epoch(val) [41][300/310] eta: 0:00:02 time: 0.2134 data_time: 0.1438 memory: 1428 2022/07/23 00:50:23 - mmengine - INFO - Epoch(val) [41][310/310] acc/top1: 0.6234 acc/top5: 0.8437 acc/mean1: 0.6233 2022/07/23 00:50:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/07/23 00:50:27 - mmengine - INFO - The best checkpoint with 0.6234 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/07/23 00:50:32 - mmengine - INFO - Epoch(train) [42][20/3757] lr: 1.0000e-03 eta: 14:24:37 time: 0.2730 data_time: 0.0852 memory: 6108 grad_norm: 5.5549 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5068 loss: 1.5068 2022/07/23 00:50:37 - mmengine - INFO - Epoch(train) [42][40/3757] lr: 1.0000e-03 eta: 14:24:32 time: 0.2409 data_time: 0.0346 memory: 6108 grad_norm: 5.3762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3699 loss: 1.3699 2022/07/23 00:50:42 - mmengine - INFO - Epoch(train) [42][60/3757] lr: 1.0000e-03 eta: 14:24:27 time: 0.2276 data_time: 0.0205 memory: 6108 grad_norm: 5.5192 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6142 loss: 1.6142 2022/07/23 00:50:46 - mmengine - INFO - Epoch(train) [42][80/3757] lr: 1.0000e-03 eta: 14:24:22 time: 0.2266 data_time: 0.0181 memory: 6108 grad_norm: 5.6241 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6008 loss: 1.6008 2022/07/23 00:50:51 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 1.0000e-03 eta: 14:24:18 time: 0.2334 data_time: 0.0260 memory: 6108 grad_norm: 5.5894 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3921 loss: 1.3921 2022/07/23 00:50:56 - mmengine - INFO - Epoch(train) [42][120/3757] lr: 1.0000e-03 eta: 14:24:14 time: 0.2605 data_time: 0.0205 memory: 6108 grad_norm: 5.8144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4491 loss: 1.4491 2022/07/23 00:51:06 - mmengine - INFO - Epoch(train) [42][140/3757] lr: 1.0000e-03 eta: 14:24:17 time: 0.5010 data_time: 0.0143 memory: 6108 grad_norm: 5.6308 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7562 loss: 1.7562 2022/07/23 00:51:11 - mmengine - INFO - Epoch(train) [42][160/3757] lr: 1.0000e-03 eta: 14:24:12 time: 0.2443 data_time: 0.0241 memory: 6108 grad_norm: 5.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8466 loss: 1.8466 2022/07/23 00:51:16 - mmengine - INFO - Epoch(train) [42][180/3757] lr: 1.0000e-03 eta: 14:24:08 time: 0.2320 data_time: 0.0258 memory: 6108 grad_norm: 5.8302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6659 loss: 1.6659 2022/07/23 00:51:21 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 1.0000e-03 eta: 14:24:03 time: 0.2465 data_time: 0.0223 memory: 6108 grad_norm: 5.7693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8292 loss: 1.8292 2022/07/23 00:51:25 - mmengine - INFO - Epoch(train) [42][220/3757] lr: 1.0000e-03 eta: 14:23:58 time: 0.2237 data_time: 0.0234 memory: 6108 grad_norm: 5.6705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7541 loss: 1.7541 2022/07/23 00:51:30 - mmengine - INFO - Epoch(train) [42][240/3757] lr: 1.0000e-03 eta: 14:23:54 time: 0.2485 data_time: 0.0191 memory: 6108 grad_norm: 5.4899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5070 loss: 1.5070 2022/07/23 00:51:35 - mmengine - INFO - Epoch(train) [42][260/3757] lr: 1.0000e-03 eta: 14:23:49 time: 0.2244 data_time: 0.0200 memory: 6108 grad_norm: 5.5782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/07/23 00:51:39 - mmengine - INFO - Epoch(train) [42][280/3757] lr: 1.0000e-03 eta: 14:23:44 time: 0.2360 data_time: 0.0227 memory: 6108 grad_norm: 5.4735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6530 loss: 1.6530 2022/07/23 00:51:44 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 1.0000e-03 eta: 14:23:40 time: 0.2332 data_time: 0.0257 memory: 6108 grad_norm: 5.4596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7636 loss: 1.7636 2022/07/23 00:51:49 - mmengine - INFO - Epoch(train) [42][320/3757] lr: 1.0000e-03 eta: 14:23:35 time: 0.2257 data_time: 0.0193 memory: 6108 grad_norm: 5.4819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6237 loss: 1.6237 2022/07/23 00:51:53 - mmengine - INFO - Epoch(train) [42][340/3757] lr: 1.0000e-03 eta: 14:23:30 time: 0.2270 data_time: 0.0217 memory: 6108 grad_norm: 5.5330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8643 loss: 1.8643 2022/07/23 00:51:58 - mmengine - INFO - Epoch(train) [42][360/3757] lr: 1.0000e-03 eta: 14:23:25 time: 0.2306 data_time: 0.0245 memory: 6108 grad_norm: 5.7253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5683 loss: 1.5683 2022/07/23 00:52:03 - mmengine - INFO - Epoch(train) [42][380/3757] lr: 1.0000e-03 eta: 14:23:21 time: 0.2495 data_time: 0.0236 memory: 6108 grad_norm: 5.6521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5248 loss: 1.5248 2022/07/23 00:52:08 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 1.0000e-03 eta: 14:23:16 time: 0.2416 data_time: 0.0261 memory: 6108 grad_norm: 5.6897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5627 loss: 1.5627 2022/07/23 00:52:12 - mmengine - INFO - Epoch(train) [42][420/3757] lr: 1.0000e-03 eta: 14:23:12 time: 0.2353 data_time: 0.0238 memory: 6108 grad_norm: 5.5955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5635 loss: 1.5635 2022/07/23 00:52:17 - mmengine - INFO - Epoch(train) [42][440/3757] lr: 1.0000e-03 eta: 14:23:07 time: 0.2308 data_time: 0.0241 memory: 6108 grad_norm: 5.6875 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6945 loss: 1.6945 2022/07/23 00:52:22 - mmengine - INFO - Epoch(train) [42][460/3757] lr: 1.0000e-03 eta: 14:23:03 time: 0.2416 data_time: 0.0225 memory: 6108 grad_norm: 5.4324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5080 loss: 1.5080 2022/07/23 00:52:26 - mmengine - INFO - Epoch(train) [42][480/3757] lr: 1.0000e-03 eta: 14:22:58 time: 0.2247 data_time: 0.0212 memory: 6108 grad_norm: 5.6797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7437 loss: 1.7437 2022/07/23 00:52:31 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 1.0000e-03 eta: 14:22:53 time: 0.2319 data_time: 0.0235 memory: 6108 grad_norm: 5.8127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6295 loss: 1.6295 2022/07/23 00:52:36 - mmengine - INFO - Epoch(train) [42][520/3757] lr: 1.0000e-03 eta: 14:22:49 time: 0.2516 data_time: 0.0498 memory: 6108 grad_norm: 5.5682 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/07/23 00:52:41 - mmengine - INFO - Epoch(train) [42][540/3757] lr: 1.0000e-03 eta: 14:22:44 time: 0.2409 data_time: 0.0204 memory: 6108 grad_norm: 5.7253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6591 loss: 1.6591 2022/07/23 00:52:45 - mmengine - INFO - Epoch(train) [42][560/3757] lr: 1.0000e-03 eta: 14:22:39 time: 0.2271 data_time: 0.0244 memory: 6108 grad_norm: 5.8225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/07/23 00:52:50 - mmengine - INFO - Epoch(train) [42][580/3757] lr: 1.0000e-03 eta: 14:22:35 time: 0.2356 data_time: 0.0290 memory: 6108 grad_norm: 5.6723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4433 loss: 1.4433 2022/07/23 00:52:55 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 1.0000e-03 eta: 14:22:30 time: 0.2278 data_time: 0.0237 memory: 6108 grad_norm: 5.7042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4856 loss: 1.4856 2022/07/23 00:52:59 - mmengine - INFO - Epoch(train) [42][620/3757] lr: 1.0000e-03 eta: 14:22:25 time: 0.2263 data_time: 0.0225 memory: 6108 grad_norm: 5.4986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4779 loss: 1.4779 2022/07/23 00:53:04 - mmengine - INFO - Epoch(train) [42][640/3757] lr: 1.0000e-03 eta: 14:22:20 time: 0.2393 data_time: 0.0222 memory: 6108 grad_norm: 5.7245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6719 loss: 1.6719 2022/07/23 00:53:09 - mmengine - INFO - Epoch(train) [42][660/3757] lr: 1.0000e-03 eta: 14:22:15 time: 0.2275 data_time: 0.0251 memory: 6108 grad_norm: 5.6856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7049 loss: 1.7049 2022/07/23 00:53:13 - mmengine - INFO - Epoch(train) [42][680/3757] lr: 1.0000e-03 eta: 14:22:11 time: 0.2311 data_time: 0.0191 memory: 6108 grad_norm: 5.6000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5204 loss: 1.5204 2022/07/23 00:53:18 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 1.0000e-03 eta: 14:22:06 time: 0.2498 data_time: 0.0218 memory: 6108 grad_norm: 5.4959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9375 loss: 1.9375 2022/07/23 00:53:23 - mmengine - INFO - Epoch(train) [42][720/3757] lr: 1.0000e-03 eta: 14:22:02 time: 0.2505 data_time: 0.0250 memory: 6108 grad_norm: 5.7095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8311 loss: 1.8311 2022/07/23 00:53:28 - mmengine - INFO - Epoch(train) [42][740/3757] lr: 1.0000e-03 eta: 14:21:57 time: 0.2254 data_time: 0.0251 memory: 6108 grad_norm: 5.6027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/07/23 00:53:32 - mmengine - INFO - Epoch(train) [42][760/3757] lr: 1.0000e-03 eta: 14:21:53 time: 0.2293 data_time: 0.0267 memory: 6108 grad_norm: 5.6217 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9607 loss: 1.9607 2022/07/23 00:53:37 - mmengine - INFO - Epoch(train) [42][780/3757] lr: 1.0000e-03 eta: 14:21:48 time: 0.2258 data_time: 0.0234 memory: 6108 grad_norm: 5.5780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6037 loss: 1.6037 2022/07/23 00:53:42 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 1.0000e-03 eta: 14:21:43 time: 0.2439 data_time: 0.0260 memory: 6108 grad_norm: 5.5304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6056 loss: 1.6056 2022/07/23 00:53:46 - mmengine - INFO - Epoch(train) [42][820/3757] lr: 1.0000e-03 eta: 14:21:38 time: 0.2225 data_time: 0.0209 memory: 6108 grad_norm: 5.5379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3577 loss: 1.3577 2022/07/23 00:53:51 - mmengine - INFO - Epoch(train) [42][840/3757] lr: 1.0000e-03 eta: 14:21:33 time: 0.2246 data_time: 0.0253 memory: 6108 grad_norm: 5.5627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4211 loss: 1.4211 2022/07/23 00:53:55 - mmengine - INFO - Epoch(train) [42][860/3757] lr: 1.0000e-03 eta: 14:21:28 time: 0.2245 data_time: 0.0235 memory: 6108 grad_norm: 5.7376 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3928 loss: 1.3928 2022/07/23 00:54:01 - mmengine - INFO - Epoch(train) [42][880/3757] lr: 1.0000e-03 eta: 14:21:24 time: 0.2632 data_time: 0.0208 memory: 6108 grad_norm: 5.6029 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6498 loss: 1.6498 2022/07/23 00:54:05 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 1.0000e-03 eta: 14:21:20 time: 0.2395 data_time: 0.0219 memory: 6108 grad_norm: 5.7461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7617 loss: 1.7617 2022/07/23 00:54:10 - mmengine - INFO - Epoch(train) [42][920/3757] lr: 1.0000e-03 eta: 14:21:15 time: 0.2298 data_time: 0.0231 memory: 6108 grad_norm: 5.5186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/07/23 00:54:15 - mmengine - INFO - Epoch(train) [42][940/3757] lr: 1.0000e-03 eta: 14:21:11 time: 0.2411 data_time: 0.0269 memory: 6108 grad_norm: 5.5941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4246 loss: 1.4246 2022/07/23 00:54:20 - mmengine - INFO - Epoch(train) [42][960/3757] lr: 1.0000e-03 eta: 14:21:07 time: 0.2554 data_time: 0.0221 memory: 6108 grad_norm: 5.5942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5497 loss: 1.5497 2022/07/23 00:54:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:54:24 - mmengine - INFO - Epoch(train) [42][980/3757] lr: 1.0000e-03 eta: 14:21:02 time: 0.2231 data_time: 0.0236 memory: 6108 grad_norm: 5.6087 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5674 loss: 1.5674 2022/07/23 00:54:29 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 1.0000e-03 eta: 14:20:57 time: 0.2343 data_time: 0.0213 memory: 6108 grad_norm: 5.6420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7738 loss: 1.7738 2022/07/23 00:54:34 - mmengine - INFO - Epoch(train) [42][1020/3757] lr: 1.0000e-03 eta: 14:20:52 time: 0.2285 data_time: 0.0203 memory: 6108 grad_norm: 5.5343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5786 loss: 1.5786 2022/07/23 00:54:38 - mmengine - INFO - Epoch(train) [42][1040/3757] lr: 1.0000e-03 eta: 14:20:47 time: 0.2222 data_time: 0.0216 memory: 6108 grad_norm: 5.9600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9135 loss: 1.9135 2022/07/23 00:54:43 - mmengine - INFO - Epoch(train) [42][1060/3757] lr: 1.0000e-03 eta: 14:20:43 time: 0.2433 data_time: 0.0216 memory: 6108 grad_norm: 5.7893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5651 loss: 1.5651 2022/07/23 00:54:48 - mmengine - INFO - Epoch(train) [42][1080/3757] lr: 1.0000e-03 eta: 14:20:38 time: 0.2285 data_time: 0.0194 memory: 6108 grad_norm: 5.8529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7431 loss: 1.7431 2022/07/23 00:54:52 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 1.0000e-03 eta: 14:20:33 time: 0.2302 data_time: 0.0230 memory: 6108 grad_norm: 5.6131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/07/23 00:54:57 - mmengine - INFO - Epoch(train) [42][1120/3757] lr: 1.0000e-03 eta: 14:20:28 time: 0.2260 data_time: 0.0198 memory: 6108 grad_norm: 5.8026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3611 loss: 1.3611 2022/07/23 00:55:02 - mmengine - INFO - Epoch(train) [42][1140/3757] lr: 1.0000e-03 eta: 14:20:24 time: 0.2506 data_time: 0.0307 memory: 6108 grad_norm: 5.5649 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6863 loss: 1.6863 2022/07/23 00:55:06 - mmengine - INFO - Epoch(train) [42][1160/3757] lr: 1.0000e-03 eta: 14:20:19 time: 0.2244 data_time: 0.0224 memory: 6108 grad_norm: 5.5955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7632 loss: 1.7632 2022/07/23 00:55:11 - mmengine - INFO - Epoch(train) [42][1180/3757] lr: 1.0000e-03 eta: 14:20:14 time: 0.2420 data_time: 0.0215 memory: 6108 grad_norm: 5.9128 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5085 loss: 1.5085 2022/07/23 00:55:16 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 1.0000e-03 eta: 14:20:09 time: 0.2246 data_time: 0.0219 memory: 6108 grad_norm: 5.7687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/07/23 00:55:20 - mmengine - INFO - Epoch(train) [42][1220/3757] lr: 1.0000e-03 eta: 14:20:05 time: 0.2389 data_time: 0.0246 memory: 6108 grad_norm: 5.4622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4013 loss: 1.4013 2022/07/23 00:55:25 - mmengine - INFO - Epoch(train) [42][1240/3757] lr: 1.0000e-03 eta: 14:20:00 time: 0.2331 data_time: 0.0243 memory: 6108 grad_norm: 5.8132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6592 loss: 1.6592 2022/07/23 00:55:30 - mmengine - INFO - Epoch(train) [42][1260/3757] lr: 1.0000e-03 eta: 14:19:56 time: 0.2370 data_time: 0.0258 memory: 6108 grad_norm: 5.8348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6428 loss: 1.6428 2022/07/23 00:55:35 - mmengine - INFO - Epoch(train) [42][1280/3757] lr: 1.0000e-03 eta: 14:19:51 time: 0.2309 data_time: 0.0240 memory: 6108 grad_norm: 5.5866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5363 loss: 1.5363 2022/07/23 00:55:39 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 1.0000e-03 eta: 14:19:46 time: 0.2344 data_time: 0.0186 memory: 6108 grad_norm: 5.7590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7716 loss: 1.7716 2022/07/23 00:55:44 - mmengine - INFO - Epoch(train) [42][1320/3757] lr: 1.0000e-03 eta: 14:19:41 time: 0.2332 data_time: 0.0247 memory: 6108 grad_norm: 5.6796 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5082 loss: 1.5082 2022/07/23 00:55:49 - mmengine - INFO - Epoch(train) [42][1340/3757] lr: 1.0000e-03 eta: 14:19:37 time: 0.2388 data_time: 0.0243 memory: 6108 grad_norm: 5.6265 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2606 loss: 1.2606 2022/07/23 00:55:53 - mmengine - INFO - Epoch(train) [42][1360/3757] lr: 1.0000e-03 eta: 14:19:32 time: 0.2355 data_time: 0.0213 memory: 6108 grad_norm: 5.6551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5029 loss: 1.5029 2022/07/23 00:55:58 - mmengine - INFO - Epoch(train) [42][1380/3757] lr: 1.0000e-03 eta: 14:19:27 time: 0.2223 data_time: 0.0200 memory: 6108 grad_norm: 5.5696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5291 loss: 1.5291 2022/07/23 00:56:03 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 1.0000e-03 eta: 14:19:22 time: 0.2316 data_time: 0.0202 memory: 6108 grad_norm: 5.7453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/07/23 00:56:07 - mmengine - INFO - Epoch(train) [42][1420/3757] lr: 1.0000e-03 eta: 14:19:18 time: 0.2236 data_time: 0.0258 memory: 6108 grad_norm: 5.7936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4488 loss: 1.4488 2022/07/23 00:56:12 - mmengine - INFO - Epoch(train) [42][1440/3757] lr: 1.0000e-03 eta: 14:19:13 time: 0.2248 data_time: 0.0227 memory: 6108 grad_norm: 5.6773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/07/23 00:56:16 - mmengine - INFO - Epoch(train) [42][1460/3757] lr: 1.0000e-03 eta: 14:19:08 time: 0.2363 data_time: 0.0265 memory: 6108 grad_norm: 5.7798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/07/23 00:56:21 - mmengine - INFO - Epoch(train) [42][1480/3757] lr: 1.0000e-03 eta: 14:19:04 time: 0.2475 data_time: 0.0233 memory: 6108 grad_norm: 5.6155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4960 loss: 1.4960 2022/07/23 00:56:26 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 1.0000e-03 eta: 14:18:59 time: 0.2223 data_time: 0.0176 memory: 6108 grad_norm: 5.6587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/07/23 00:56:30 - mmengine - INFO - Epoch(train) [42][1520/3757] lr: 1.0000e-03 eta: 14:18:54 time: 0.2275 data_time: 0.0266 memory: 6108 grad_norm: 5.8172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8033 loss: 1.8033 2022/07/23 00:56:35 - mmengine - INFO - Epoch(train) [42][1540/3757] lr: 1.0000e-03 eta: 14:18:49 time: 0.2405 data_time: 0.0261 memory: 6108 grad_norm: 5.6310 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5648 loss: 1.5648 2022/07/23 00:56:40 - mmengine - INFO - Epoch(train) [42][1560/3757] lr: 1.0000e-03 eta: 14:18:45 time: 0.2541 data_time: 0.0211 memory: 6108 grad_norm: 5.7255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4075 loss: 1.4075 2022/07/23 00:56:45 - mmengine - INFO - Epoch(train) [42][1580/3757] lr: 1.0000e-03 eta: 14:18:40 time: 0.2204 data_time: 0.0206 memory: 6108 grad_norm: 5.6768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/07/23 00:56:49 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 1.0000e-03 eta: 14:18:35 time: 0.2223 data_time: 0.0188 memory: 6108 grad_norm: 5.5979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5164 loss: 1.5164 2022/07/23 00:56:54 - mmengine - INFO - Epoch(train) [42][1620/3757] lr: 1.0000e-03 eta: 14:18:30 time: 0.2269 data_time: 0.0235 memory: 6108 grad_norm: 5.6387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/07/23 00:56:58 - mmengine - INFO - Epoch(train) [42][1640/3757] lr: 1.0000e-03 eta: 14:18:25 time: 0.2253 data_time: 0.0227 memory: 6108 grad_norm: 5.5175 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7242 loss: 1.7242 2022/07/23 00:57:03 - mmengine - INFO - Epoch(train) [42][1660/3757] lr: 1.0000e-03 eta: 14:18:21 time: 0.2326 data_time: 0.0202 memory: 6108 grad_norm: 5.6025 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8498 loss: 1.8498 2022/07/23 00:57:08 - mmengine - INFO - Epoch(train) [42][1680/3757] lr: 1.0000e-03 eta: 14:18:16 time: 0.2435 data_time: 0.0219 memory: 6108 grad_norm: 5.6585 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5799 loss: 1.5799 2022/07/23 00:57:13 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 1.0000e-03 eta: 14:18:12 time: 0.2375 data_time: 0.0221 memory: 6108 grad_norm: 5.6171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2648 loss: 1.2648 2022/07/23 00:57:17 - mmengine - INFO - Epoch(train) [42][1720/3757] lr: 1.0000e-03 eta: 14:18:07 time: 0.2336 data_time: 0.0310 memory: 6108 grad_norm: 5.8402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7671 loss: 1.7671 2022/07/23 00:57:22 - mmengine - INFO - Epoch(train) [42][1740/3757] lr: 1.0000e-03 eta: 14:18:02 time: 0.2404 data_time: 0.0236 memory: 6108 grad_norm: 5.6004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/07/23 00:57:27 - mmengine - INFO - Epoch(train) [42][1760/3757] lr: 1.0000e-03 eta: 14:17:57 time: 0.2264 data_time: 0.0280 memory: 6108 grad_norm: 5.6819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5987 loss: 1.5987 2022/07/23 00:57:31 - mmengine - INFO - Epoch(train) [42][1780/3757] lr: 1.0000e-03 eta: 14:17:52 time: 0.2252 data_time: 0.0236 memory: 6108 grad_norm: 5.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3894 loss: 1.3894 2022/07/23 00:57:36 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 1.0000e-03 eta: 14:17:49 time: 0.2597 data_time: 0.0260 memory: 6108 grad_norm: 5.7567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6559 loss: 1.6559 2022/07/23 00:57:41 - mmengine - INFO - Epoch(train) [42][1820/3757] lr: 1.0000e-03 eta: 14:17:44 time: 0.2496 data_time: 0.0208 memory: 6108 grad_norm: 5.5822 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6097 loss: 1.6097 2022/07/23 00:57:46 - mmengine - INFO - Epoch(train) [42][1840/3757] lr: 1.0000e-03 eta: 14:17:39 time: 0.2199 data_time: 0.0253 memory: 6108 grad_norm: 5.6958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4028 loss: 1.4028 2022/07/23 00:57:50 - mmengine - INFO - Epoch(train) [42][1860/3757] lr: 1.0000e-03 eta: 14:17:34 time: 0.2274 data_time: 0.0303 memory: 6108 grad_norm: 5.5837 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/07/23 00:57:55 - mmengine - INFO - Epoch(train) [42][1880/3757] lr: 1.0000e-03 eta: 14:17:30 time: 0.2327 data_time: 0.0315 memory: 6108 grad_norm: 5.5946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8193 loss: 1.8193 2022/07/23 00:58:00 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 1.0000e-03 eta: 14:17:25 time: 0.2277 data_time: 0.0262 memory: 6108 grad_norm: 5.6705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6855 loss: 1.6855 2022/07/23 00:58:04 - mmengine - INFO - Epoch(train) [42][1920/3757] lr: 1.0000e-03 eta: 14:17:20 time: 0.2369 data_time: 0.0197 memory: 6108 grad_norm: 5.7962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/07/23 00:58:09 - mmengine - INFO - Epoch(train) [42][1940/3757] lr: 1.0000e-03 eta: 14:17:15 time: 0.2277 data_time: 0.0252 memory: 6108 grad_norm: 5.6869 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4079 loss: 1.4079 2022/07/23 00:58:14 - mmengine - INFO - Epoch(train) [42][1960/3757] lr: 1.0000e-03 eta: 14:17:11 time: 0.2340 data_time: 0.0221 memory: 6108 grad_norm: 5.8229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8090 loss: 1.8090 2022/07/23 00:58:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 00:58:18 - mmengine - INFO - Epoch(train) [42][1980/3757] lr: 1.0000e-03 eta: 14:17:06 time: 0.2406 data_time: 0.0175 memory: 6108 grad_norm: 5.8191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5574 loss: 1.5574 2022/07/23 00:58:23 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 1.0000e-03 eta: 14:17:01 time: 0.2328 data_time: 0.0226 memory: 6108 grad_norm: 5.9783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6707 loss: 1.6707 2022/07/23 00:58:28 - mmengine - INFO - Epoch(train) [42][2020/3757] lr: 1.0000e-03 eta: 14:16:57 time: 0.2378 data_time: 0.0207 memory: 6108 grad_norm: 5.7501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3701 loss: 1.3701 2022/07/23 00:58:32 - mmengine - INFO - Epoch(train) [42][2040/3757] lr: 1.0000e-03 eta: 14:16:52 time: 0.2239 data_time: 0.0222 memory: 6108 grad_norm: 5.9232 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5709 loss: 1.5709 2022/07/23 00:58:37 - mmengine - INFO - Epoch(train) [42][2060/3757] lr: 1.0000e-03 eta: 14:16:47 time: 0.2274 data_time: 0.0277 memory: 6108 grad_norm: 5.6226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7178 loss: 1.7178 2022/07/23 00:58:42 - mmengine - INFO - Epoch(train) [42][2080/3757] lr: 1.0000e-03 eta: 14:16:43 time: 0.2438 data_time: 0.0221 memory: 6108 grad_norm: 5.5290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3979 loss: 1.3979 2022/07/23 00:58:47 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 1.0000e-03 eta: 14:16:38 time: 0.2410 data_time: 0.0190 memory: 6108 grad_norm: 5.6936 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6338 loss: 1.6338 2022/07/23 00:58:51 - mmengine - INFO - Epoch(train) [42][2120/3757] lr: 1.0000e-03 eta: 14:16:33 time: 0.2244 data_time: 0.0237 memory: 6108 grad_norm: 5.7304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5899 loss: 1.5899 2022/07/23 00:58:56 - mmengine - INFO - Epoch(train) [42][2140/3757] lr: 1.0000e-03 eta: 14:16:28 time: 0.2351 data_time: 0.0259 memory: 6108 grad_norm: 5.6915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7606 loss: 1.7606 2022/07/23 00:59:01 - mmengine - INFO - Epoch(train) [42][2160/3757] lr: 1.0000e-03 eta: 14:16:24 time: 0.2379 data_time: 0.0248 memory: 6108 grad_norm: 5.7389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7536 loss: 1.7536 2022/07/23 00:59:05 - mmengine - INFO - Epoch(train) [42][2180/3757] lr: 1.0000e-03 eta: 14:16:19 time: 0.2316 data_time: 0.0221 memory: 6108 grad_norm: 5.7959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4269 loss: 1.4269 2022/07/23 00:59:10 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 1.0000e-03 eta: 14:16:15 time: 0.2422 data_time: 0.0294 memory: 6108 grad_norm: 5.8588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6239 loss: 1.6239 2022/07/23 00:59:15 - mmengine - INFO - Epoch(train) [42][2220/3757] lr: 1.0000e-03 eta: 14:16:10 time: 0.2237 data_time: 0.0197 memory: 6108 grad_norm: 5.4953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7980 loss: 1.7980 2022/07/23 00:59:19 - mmengine - INFO - Epoch(train) [42][2240/3757] lr: 1.0000e-03 eta: 14:16:05 time: 0.2417 data_time: 0.0254 memory: 6108 grad_norm: 5.6527 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5529 loss: 1.5529 2022/07/23 00:59:25 - mmengine - INFO - Epoch(train) [42][2260/3757] lr: 1.0000e-03 eta: 14:16:01 time: 0.2571 data_time: 0.0171 memory: 6108 grad_norm: 5.9214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8361 loss: 1.8361 2022/07/23 00:59:29 - mmengine - INFO - Epoch(train) [42][2280/3757] lr: 1.0000e-03 eta: 14:15:56 time: 0.2298 data_time: 0.0230 memory: 6108 grad_norm: 5.6318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6134 loss: 1.6134 2022/07/23 00:59:34 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 1.0000e-03 eta: 14:15:51 time: 0.2236 data_time: 0.0202 memory: 6108 grad_norm: 5.6040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4105 loss: 1.4105 2022/07/23 00:59:38 - mmengine - INFO - Epoch(train) [42][2320/3757] lr: 1.0000e-03 eta: 14:15:47 time: 0.2271 data_time: 0.0238 memory: 6108 grad_norm: 5.5521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3742 loss: 1.3742 2022/07/23 00:59:43 - mmengine - INFO - Epoch(train) [42][2340/3757] lr: 1.0000e-03 eta: 14:15:42 time: 0.2494 data_time: 0.0213 memory: 6108 grad_norm: 5.9005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6803 loss: 1.6803 2022/07/23 00:59:48 - mmengine - INFO - Epoch(train) [42][2360/3757] lr: 1.0000e-03 eta: 14:15:38 time: 0.2414 data_time: 0.0233 memory: 6108 grad_norm: 5.8002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4497 loss: 1.4497 2022/07/23 00:59:53 - mmengine - INFO - Epoch(train) [42][2380/3757] lr: 1.0000e-03 eta: 14:15:33 time: 0.2237 data_time: 0.0244 memory: 6108 grad_norm: 5.6813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5296 loss: 1.5296 2022/07/23 00:59:57 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 1.0000e-03 eta: 14:15:28 time: 0.2310 data_time: 0.0211 memory: 6108 grad_norm: 5.7426 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6553 loss: 1.6553 2022/07/23 01:00:02 - mmengine - INFO - Epoch(train) [42][2420/3757] lr: 1.0000e-03 eta: 14:15:24 time: 0.2445 data_time: 0.0254 memory: 6108 grad_norm: 5.5369 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4438 loss: 1.4438 2022/07/23 01:00:07 - mmengine - INFO - Epoch(train) [42][2440/3757] lr: 1.0000e-03 eta: 14:15:19 time: 0.2324 data_time: 0.0215 memory: 6108 grad_norm: 5.8687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7301 loss: 1.7301 2022/07/23 01:00:12 - mmengine - INFO - Epoch(train) [42][2460/3757] lr: 1.0000e-03 eta: 14:15:14 time: 0.2360 data_time: 0.0423 memory: 6108 grad_norm: 5.8209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6428 loss: 1.6428 2022/07/23 01:00:16 - mmengine - INFO - Epoch(train) [42][2480/3757] lr: 1.0000e-03 eta: 14:15:10 time: 0.2309 data_time: 0.0277 memory: 6108 grad_norm: 5.7952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6082 loss: 1.6082 2022/07/23 01:00:21 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 1.0000e-03 eta: 14:15:05 time: 0.2360 data_time: 0.0178 memory: 6108 grad_norm: 5.6771 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6466 loss: 1.6466 2022/07/23 01:00:26 - mmengine - INFO - Epoch(train) [42][2520/3757] lr: 1.0000e-03 eta: 14:15:00 time: 0.2305 data_time: 0.0323 memory: 6108 grad_norm: 5.6913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6770 loss: 1.6770 2022/07/23 01:00:30 - mmengine - INFO - Epoch(train) [42][2540/3757] lr: 1.0000e-03 eta: 14:14:55 time: 0.2203 data_time: 0.0189 memory: 6108 grad_norm: 5.8513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7173 loss: 1.7173 2022/07/23 01:00:34 - mmengine - INFO - Epoch(train) [42][2560/3757] lr: 1.0000e-03 eta: 14:14:50 time: 0.2218 data_time: 0.0225 memory: 6108 grad_norm: 5.8854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2198 loss: 1.2198 2022/07/23 01:00:39 - mmengine - INFO - Epoch(train) [42][2580/3757] lr: 1.0000e-03 eta: 14:14:46 time: 0.2394 data_time: 0.0273 memory: 6108 grad_norm: 5.9017 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6303 loss: 1.6303 2022/07/23 01:00:45 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 1.0000e-03 eta: 14:14:42 time: 0.2697 data_time: 0.0175 memory: 6108 grad_norm: 5.7647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4402 loss: 1.4402 2022/07/23 01:00:49 - mmengine - INFO - Epoch(train) [42][2620/3757] lr: 1.0000e-03 eta: 14:14:37 time: 0.2294 data_time: 0.0322 memory: 6108 grad_norm: 5.9258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8781 loss: 1.8781 2022/07/23 01:00:54 - mmengine - INFO - Epoch(train) [42][2640/3757] lr: 1.0000e-03 eta: 14:14:32 time: 0.2269 data_time: 0.0252 memory: 6108 grad_norm: 5.9261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4500 loss: 1.4500 2022/07/23 01:00:58 - mmengine - INFO - Epoch(train) [42][2660/3757] lr: 1.0000e-03 eta: 14:14:27 time: 0.2263 data_time: 0.0238 memory: 6108 grad_norm: 5.5541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3531 loss: 1.3531 2022/07/23 01:01:03 - mmengine - INFO - Epoch(train) [42][2680/3757] lr: 1.0000e-03 eta: 14:14:23 time: 0.2564 data_time: 0.0257 memory: 6108 grad_norm: 5.7270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6495 loss: 1.6495 2022/07/23 01:01:08 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 1.0000e-03 eta: 14:14:18 time: 0.2261 data_time: 0.0244 memory: 6108 grad_norm: 5.7237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3942 loss: 1.3942 2022/07/23 01:01:13 - mmengine - INFO - Epoch(train) [42][2720/3757] lr: 1.0000e-03 eta: 14:14:13 time: 0.2263 data_time: 0.0251 memory: 6108 grad_norm: 5.7295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7425 loss: 1.7425 2022/07/23 01:01:17 - mmengine - INFO - Epoch(train) [42][2740/3757] lr: 1.0000e-03 eta: 14:14:09 time: 0.2339 data_time: 0.0352 memory: 6108 grad_norm: 5.6846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8319 loss: 1.8319 2022/07/23 01:01:22 - mmengine - INFO - Epoch(train) [42][2760/3757] lr: 1.0000e-03 eta: 14:14:04 time: 0.2408 data_time: 0.0298 memory: 6108 grad_norm: 5.8067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4645 loss: 1.4645 2022/07/23 01:01:27 - mmengine - INFO - Epoch(train) [42][2780/3757] lr: 1.0000e-03 eta: 14:13:59 time: 0.2254 data_time: 0.0254 memory: 6108 grad_norm: 5.7978 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5399 loss: 1.5399 2022/07/23 01:01:31 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 1.0000e-03 eta: 14:13:54 time: 0.2274 data_time: 0.0211 memory: 6108 grad_norm: 5.6285 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4389 loss: 1.4389 2022/07/23 01:01:36 - mmengine - INFO - Epoch(train) [42][2820/3757] lr: 1.0000e-03 eta: 14:13:49 time: 0.2259 data_time: 0.0276 memory: 6108 grad_norm: 5.6864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6418 loss: 1.6418 2022/07/23 01:01:41 - mmengine - INFO - Epoch(train) [42][2840/3757] lr: 1.0000e-03 eta: 14:13:45 time: 0.2421 data_time: 0.0198 memory: 6108 grad_norm: 5.7643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4628 loss: 1.4628 2022/07/23 01:01:45 - mmengine - INFO - Epoch(train) [42][2860/3757] lr: 1.0000e-03 eta: 14:13:40 time: 0.2236 data_time: 0.0245 memory: 6108 grad_norm: 5.5467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5449 loss: 1.5449 2022/07/23 01:01:50 - mmengine - INFO - Epoch(train) [42][2880/3757] lr: 1.0000e-03 eta: 14:13:35 time: 0.2257 data_time: 0.0198 memory: 6108 grad_norm: 5.7654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7315 loss: 1.7315 2022/07/23 01:01:54 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 1.0000e-03 eta: 14:13:30 time: 0.2343 data_time: 0.0238 memory: 6108 grad_norm: 5.5280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4217 loss: 1.4217 2022/07/23 01:01:59 - mmengine - INFO - Epoch(train) [42][2920/3757] lr: 1.0000e-03 eta: 14:13:26 time: 0.2363 data_time: 0.0208 memory: 6108 grad_norm: 5.7380 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7967 loss: 1.7967 2022/07/23 01:02:04 - mmengine - INFO - Epoch(train) [42][2940/3757] lr: 1.0000e-03 eta: 14:13:21 time: 0.2401 data_time: 0.0232 memory: 6108 grad_norm: 5.7915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5879 loss: 1.5879 2022/07/23 01:02:09 - mmengine - INFO - Epoch(train) [42][2960/3757] lr: 1.0000e-03 eta: 14:13:17 time: 0.2327 data_time: 0.0237 memory: 6108 grad_norm: 5.8690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/07/23 01:02:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:02:13 - mmengine - INFO - Epoch(train) [42][2980/3757] lr: 1.0000e-03 eta: 14:13:12 time: 0.2280 data_time: 0.0246 memory: 6108 grad_norm: 5.7477 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6442 loss: 1.6442 2022/07/23 01:02:18 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 1.0000e-03 eta: 14:13:07 time: 0.2233 data_time: 0.0200 memory: 6108 grad_norm: 5.6934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5296 loss: 1.5296 2022/07/23 01:02:23 - mmengine - INFO - Epoch(train) [42][3020/3757] lr: 1.0000e-03 eta: 14:13:03 time: 0.2687 data_time: 0.0261 memory: 6108 grad_norm: 5.6171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4932 loss: 1.4932 2022/07/23 01:02:27 - mmengine - INFO - Epoch(train) [42][3040/3757] lr: 1.0000e-03 eta: 14:12:58 time: 0.2243 data_time: 0.0266 memory: 6108 grad_norm: 5.7089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/07/23 01:02:32 - mmengine - INFO - Epoch(train) [42][3060/3757] lr: 1.0000e-03 eta: 14:12:53 time: 0.2273 data_time: 0.0214 memory: 6108 grad_norm: 5.6742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/07/23 01:02:37 - mmengine - INFO - Epoch(train) [42][3080/3757] lr: 1.0000e-03 eta: 14:12:48 time: 0.2246 data_time: 0.0181 memory: 6108 grad_norm: 5.6430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/07/23 01:02:41 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 1.0000e-03 eta: 14:12:44 time: 0.2426 data_time: 0.0265 memory: 6108 grad_norm: 5.8002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6510 loss: 1.6510 2022/07/23 01:02:46 - mmengine - INFO - Epoch(train) [42][3120/3757] lr: 1.0000e-03 eta: 14:12:39 time: 0.2268 data_time: 0.0293 memory: 6108 grad_norm: 5.8455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/07/23 01:02:51 - mmengine - INFO - Epoch(train) [42][3140/3757] lr: 1.0000e-03 eta: 14:12:34 time: 0.2345 data_time: 0.0264 memory: 6108 grad_norm: 5.7955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7864 loss: 1.7864 2022/07/23 01:02:55 - mmengine - INFO - Epoch(train) [42][3160/3757] lr: 1.0000e-03 eta: 14:12:29 time: 0.2269 data_time: 0.0233 memory: 6108 grad_norm: 5.8065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5135 loss: 1.5135 2022/07/23 01:03:00 - mmengine - INFO - Epoch(train) [42][3180/3757] lr: 1.0000e-03 eta: 14:12:24 time: 0.2232 data_time: 0.0188 memory: 6108 grad_norm: 5.7525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7774 loss: 1.7774 2022/07/23 01:03:04 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 1.0000e-03 eta: 14:12:20 time: 0.2356 data_time: 0.0243 memory: 6108 grad_norm: 5.8060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7339 loss: 1.7339 2022/07/23 01:03:09 - mmengine - INFO - Epoch(train) [42][3220/3757] lr: 1.0000e-03 eta: 14:12:15 time: 0.2354 data_time: 0.0266 memory: 6108 grad_norm: 5.8103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5751 loss: 1.5751 2022/07/23 01:03:15 - mmengine - INFO - Epoch(train) [42][3240/3757] lr: 1.0000e-03 eta: 14:12:11 time: 0.2692 data_time: 0.0249 memory: 6108 grad_norm: 5.9438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6146 loss: 1.6146 2022/07/23 01:03:19 - mmengine - INFO - Epoch(train) [42][3260/3757] lr: 1.0000e-03 eta: 14:12:06 time: 0.2241 data_time: 0.0291 memory: 6108 grad_norm: 5.8034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/07/23 01:03:24 - mmengine - INFO - Epoch(train) [42][3280/3757] lr: 1.0000e-03 eta: 14:12:02 time: 0.2306 data_time: 0.0288 memory: 6108 grad_norm: 5.9967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/07/23 01:03:28 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 1.0000e-03 eta: 14:11:57 time: 0.2270 data_time: 0.0227 memory: 6108 grad_norm: 5.9030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8795 loss: 1.8795 2022/07/23 01:03:33 - mmengine - INFO - Epoch(train) [42][3320/3757] lr: 1.0000e-03 eta: 14:11:52 time: 0.2310 data_time: 0.0348 memory: 6108 grad_norm: 5.6986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7767 loss: 1.7767 2022/07/23 01:03:37 - mmengine - INFO - Epoch(train) [42][3340/3757] lr: 1.0000e-03 eta: 14:11:47 time: 0.2288 data_time: 0.0270 memory: 6108 grad_norm: 6.1328 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9545 loss: 1.9545 2022/07/23 01:03:43 - mmengine - INFO - Epoch(train) [42][3360/3757] lr: 1.0000e-03 eta: 14:11:43 time: 0.2561 data_time: 0.0211 memory: 6108 grad_norm: 5.7791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3711 loss: 1.3711 2022/07/23 01:03:47 - mmengine - INFO - Epoch(train) [42][3380/3757] lr: 1.0000e-03 eta: 14:11:38 time: 0.2291 data_time: 0.0232 memory: 6108 grad_norm: 5.7399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9993 loss: 1.9993 2022/07/23 01:03:52 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 1.0000e-03 eta: 14:11:34 time: 0.2503 data_time: 0.0175 memory: 6108 grad_norm: 5.6006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3403 loss: 1.3403 2022/07/23 01:03:57 - mmengine - INFO - Epoch(train) [42][3420/3757] lr: 1.0000e-03 eta: 14:11:29 time: 0.2283 data_time: 0.0237 memory: 6108 grad_norm: 5.6989 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4090 loss: 1.4090 2022/07/23 01:04:02 - mmengine - INFO - Epoch(train) [42][3440/3757] lr: 1.0000e-03 eta: 14:11:25 time: 0.2415 data_time: 0.0291 memory: 6108 grad_norm: 5.7090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/07/23 01:04:07 - mmengine - INFO - Epoch(train) [42][3460/3757] lr: 1.0000e-03 eta: 14:11:20 time: 0.2443 data_time: 0.0208 memory: 6108 grad_norm: 5.5617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/07/23 01:04:11 - mmengine - INFO - Epoch(train) [42][3480/3757] lr: 1.0000e-03 eta: 14:11:15 time: 0.2256 data_time: 0.0263 memory: 6108 grad_norm: 5.7989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3408 loss: 1.3408 2022/07/23 01:04:16 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 1.0000e-03 eta: 14:11:11 time: 0.2298 data_time: 0.0368 memory: 6108 grad_norm: 5.5206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4304 loss: 1.4304 2022/07/23 01:04:20 - mmengine - INFO - Epoch(train) [42][3520/3757] lr: 1.0000e-03 eta: 14:11:06 time: 0.2275 data_time: 0.0220 memory: 6108 grad_norm: 5.7416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5222 loss: 1.5222 2022/07/23 01:04:25 - mmengine - INFO - Epoch(train) [42][3540/3757] lr: 1.0000e-03 eta: 14:11:01 time: 0.2393 data_time: 0.0250 memory: 6108 grad_norm: 5.9400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7158 loss: 1.7158 2022/07/23 01:04:30 - mmengine - INFO - Epoch(train) [42][3560/3757] lr: 1.0000e-03 eta: 14:10:56 time: 0.2298 data_time: 0.0244 memory: 6108 grad_norm: 5.7789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2968 loss: 1.2968 2022/07/23 01:04:34 - mmengine - INFO - Epoch(train) [42][3580/3757] lr: 1.0000e-03 eta: 14:10:51 time: 0.2244 data_time: 0.0287 memory: 6108 grad_norm: 5.8686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5027 loss: 1.5027 2022/07/23 01:04:39 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 1.0000e-03 eta: 14:10:47 time: 0.2422 data_time: 0.0223 memory: 6108 grad_norm: 5.7839 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4270 loss: 1.4270 2022/07/23 01:04:44 - mmengine - INFO - Epoch(train) [42][3620/3757] lr: 1.0000e-03 eta: 14:10:43 time: 0.2497 data_time: 0.0223 memory: 6108 grad_norm: 5.6227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/07/23 01:04:49 - mmengine - INFO - Epoch(train) [42][3640/3757] lr: 1.0000e-03 eta: 14:10:38 time: 0.2401 data_time: 0.0229 memory: 6108 grad_norm: 5.4802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3604 loss: 1.3604 2022/07/23 01:04:53 - mmengine - INFO - Epoch(train) [42][3660/3757] lr: 1.0000e-03 eta: 14:10:33 time: 0.2243 data_time: 0.0212 memory: 6108 grad_norm: 5.7987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6494 loss: 1.6494 2022/07/23 01:04:58 - mmengine - INFO - Epoch(train) [42][3680/3757] lr: 1.0000e-03 eta: 14:10:28 time: 0.2278 data_time: 0.0279 memory: 6108 grad_norm: 5.8730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6915 loss: 1.6915 2022/07/23 01:05:03 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 1.0000e-03 eta: 14:10:24 time: 0.2430 data_time: 0.0250 memory: 6108 grad_norm: 5.8231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6386 loss: 1.6386 2022/07/23 01:05:08 - mmengine - INFO - Epoch(train) [42][3720/3757] lr: 1.0000e-03 eta: 14:10:19 time: 0.2393 data_time: 0.0289 memory: 6108 grad_norm: 5.6874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6381 loss: 1.6381 2022/07/23 01:05:13 - mmengine - INFO - Epoch(train) [42][3740/3757] lr: 1.0000e-03 eta: 14:10:15 time: 0.2446 data_time: 0.0254 memory: 6108 grad_norm: 5.7909 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7572 loss: 1.7572 2022/07/23 01:05:16 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:05:16 - mmengine - INFO - Epoch(train) [42][3757/3757] lr: 1.0000e-03 eta: 14:10:15 time: 0.1889 data_time: 0.0143 memory: 6108 grad_norm: 5.7547 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7439 loss: 1.7439 2022/07/23 01:05:21 - mmengine - INFO - Epoch(val) [42][20/310] eta: 0:01:19 time: 0.2734 data_time: 0.1963 memory: 1428 2022/07/23 01:05:25 - mmengine - INFO - Epoch(val) [42][40/310] eta: 0:00:52 time: 0.1936 data_time: 0.1114 memory: 1428 2022/07/23 01:05:30 - mmengine - INFO - Epoch(val) [42][60/310] eta: 0:00:56 time: 0.2241 data_time: 0.1451 memory: 1428 2022/07/23 01:05:33 - mmengine - INFO - Epoch(val) [42][80/310] eta: 0:00:42 time: 0.1836 data_time: 0.1097 memory: 1428 2022/07/23 01:05:38 - mmengine - INFO - Epoch(val) [42][100/310] eta: 0:00:50 time: 0.2400 data_time: 0.1642 memory: 1428 2022/07/23 01:05:42 - mmengine - INFO - Epoch(val) [42][120/310] eta: 0:00:36 time: 0.1926 data_time: 0.1132 memory: 1428 2022/07/23 01:05:47 - mmengine - INFO - Epoch(val) [42][140/310] eta: 0:00:41 time: 0.2468 data_time: 0.1746 memory: 1428 2022/07/23 01:05:51 - mmengine - INFO - Epoch(val) [42][160/310] eta: 0:00:27 time: 0.1862 data_time: 0.1092 memory: 1428 2022/07/23 01:05:55 - mmengine - INFO - Epoch(val) [42][180/310] eta: 0:00:30 time: 0.2378 data_time: 0.1609 memory: 1428 2022/07/23 01:05:59 - mmengine - INFO - Epoch(val) [42][200/310] eta: 0:00:19 time: 0.1806 data_time: 0.0987 memory: 1428 2022/07/23 01:06:04 - mmengine - INFO - Epoch(val) [42][220/310] eta: 0:00:24 time: 0.2690 data_time: 0.1799 memory: 1428 2022/07/23 01:06:08 - mmengine - INFO - Epoch(val) [42][240/310] eta: 0:00:13 time: 0.1941 data_time: 0.1208 memory: 1428 2022/07/23 01:06:13 - mmengine - INFO - Epoch(val) [42][260/310] eta: 0:00:12 time: 0.2539 data_time: 0.1749 memory: 1428 2022/07/23 01:06:17 - mmengine - INFO - Epoch(val) [42][280/310] eta: 0:00:05 time: 0.1833 data_time: 0.1083 memory: 1428 2022/07/23 01:06:21 - mmengine - INFO - Epoch(val) [42][300/310] eta: 0:00:02 time: 0.2062 data_time: 0.1312 memory: 1428 2022/07/23 01:06:24 - mmengine - INFO - Epoch(val) [42][310/310] acc/top1: 0.6271 acc/top5: 0.8459 acc/mean1: 0.6270 2022/07/23 01:06:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/07/23 01:06:27 - mmengine - INFO - The best checkpoint with 0.6271 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/07/23 01:06:32 - mmengine - INFO - Epoch(train) [43][20/3757] lr: 1.0000e-03 eta: 14:10:02 time: 0.2673 data_time: 0.0800 memory: 6108 grad_norm: 5.7549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6778 loss: 1.6778 2022/07/23 01:06:37 - mmengine - INFO - Epoch(train) [43][40/3757] lr: 1.0000e-03 eta: 14:09:57 time: 0.2374 data_time: 0.0181 memory: 6108 grad_norm: 5.6207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6098 loss: 1.6098 2022/07/23 01:06:42 - mmengine - INFO - Epoch(train) [43][60/3757] lr: 1.0000e-03 eta: 14:09:53 time: 0.2625 data_time: 0.0260 memory: 6108 grad_norm: 5.7845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4165 loss: 1.4165 2022/07/23 01:06:47 - mmengine - INFO - Epoch(train) [43][80/3757] lr: 1.0000e-03 eta: 14:09:48 time: 0.2254 data_time: 0.0214 memory: 6108 grad_norm: 5.7707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8800 loss: 1.8800 2022/07/23 01:06:51 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 1.0000e-03 eta: 14:09:43 time: 0.2243 data_time: 0.0231 memory: 6108 grad_norm: 5.8379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5375 loss: 1.5375 2022/07/23 01:06:56 - mmengine - INFO - Epoch(train) [43][120/3757] lr: 1.0000e-03 eta: 14:09:39 time: 0.2521 data_time: 0.0311 memory: 6108 grad_norm: 5.6203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7759 loss: 1.7759 2022/07/23 01:07:01 - mmengine - INFO - Epoch(train) [43][140/3757] lr: 1.0000e-03 eta: 14:09:35 time: 0.2407 data_time: 0.0329 memory: 6108 grad_norm: 5.8054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5572 loss: 1.5572 2022/07/23 01:07:06 - mmengine - INFO - Epoch(train) [43][160/3757] lr: 1.0000e-03 eta: 14:09:30 time: 0.2459 data_time: 0.0204 memory: 6108 grad_norm: 5.7590 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5024 loss: 1.5024 2022/07/23 01:07:11 - mmengine - INFO - Epoch(train) [43][180/3757] lr: 1.0000e-03 eta: 14:09:26 time: 0.2267 data_time: 0.0237 memory: 6108 grad_norm: 5.5290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4944 loss: 1.4944 2022/07/23 01:07:15 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 1.0000e-03 eta: 14:09:21 time: 0.2239 data_time: 0.0215 memory: 6108 grad_norm: 5.7850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3853 loss: 1.3853 2022/07/23 01:07:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:07:20 - mmengine - INFO - Epoch(train) [43][220/3757] lr: 1.0000e-03 eta: 14:09:16 time: 0.2279 data_time: 0.0249 memory: 6108 grad_norm: 5.7899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6447 loss: 1.6447 2022/07/23 01:07:25 - mmengine - INFO - Epoch(train) [43][240/3757] lr: 1.0000e-03 eta: 14:09:11 time: 0.2395 data_time: 0.0260 memory: 6108 grad_norm: 5.8293 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4452 loss: 1.4452 2022/07/23 01:07:29 - mmengine - INFO - Epoch(train) [43][260/3757] lr: 1.0000e-03 eta: 14:09:06 time: 0.2307 data_time: 0.0206 memory: 6108 grad_norm: 5.6805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6285 loss: 1.6285 2022/07/23 01:07:34 - mmengine - INFO - Epoch(train) [43][280/3757] lr: 1.0000e-03 eta: 14:09:02 time: 0.2445 data_time: 0.0209 memory: 6108 grad_norm: 5.8519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5064 loss: 1.5064 2022/07/23 01:07:39 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 1.0000e-03 eta: 14:08:57 time: 0.2270 data_time: 0.0220 memory: 6108 grad_norm: 5.6382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7372 loss: 1.7372 2022/07/23 01:07:43 - mmengine - INFO - Epoch(train) [43][320/3757] lr: 1.0000e-03 eta: 14:08:52 time: 0.2342 data_time: 0.0267 memory: 6108 grad_norm: 5.5626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4688 loss: 1.4688 2022/07/23 01:07:48 - mmengine - INFO - Epoch(train) [43][340/3757] lr: 1.0000e-03 eta: 14:08:48 time: 0.2277 data_time: 0.0204 memory: 6108 grad_norm: 5.7105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6344 loss: 1.6344 2022/07/23 01:07:53 - mmengine - INFO - Epoch(train) [43][360/3757] lr: 1.0000e-03 eta: 14:08:43 time: 0.2356 data_time: 0.0227 memory: 6108 grad_norm: 5.7987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/07/23 01:07:57 - mmengine - INFO - Epoch(train) [43][380/3757] lr: 1.0000e-03 eta: 14:08:38 time: 0.2255 data_time: 0.0220 memory: 6108 grad_norm: 5.7997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7359 loss: 1.7359 2022/07/23 01:08:03 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 1.0000e-03 eta: 14:08:34 time: 0.2666 data_time: 0.0188 memory: 6108 grad_norm: 5.7880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6667 loss: 1.6667 2022/07/23 01:08:07 - mmengine - INFO - Epoch(train) [43][420/3757] lr: 1.0000e-03 eta: 14:08:29 time: 0.2264 data_time: 0.0254 memory: 6108 grad_norm: 5.6953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/07/23 01:08:12 - mmengine - INFO - Epoch(train) [43][440/3757] lr: 1.0000e-03 eta: 14:08:25 time: 0.2276 data_time: 0.0207 memory: 6108 grad_norm: 5.8199 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7433 loss: 1.7433 2022/07/23 01:08:17 - mmengine - INFO - Epoch(train) [43][460/3757] lr: 1.0000e-03 eta: 14:08:20 time: 0.2520 data_time: 0.0207 memory: 6108 grad_norm: 6.0548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4893 loss: 1.4893 2022/07/23 01:08:22 - mmengine - INFO - Epoch(train) [43][480/3757] lr: 1.0000e-03 eta: 14:08:16 time: 0.2627 data_time: 0.0257 memory: 6108 grad_norm: 5.7899 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6390 loss: 1.6390 2022/07/23 01:08:26 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 1.0000e-03 eta: 14:08:11 time: 0.2193 data_time: 0.0239 memory: 6108 grad_norm: 5.8709 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6189 loss: 1.6189 2022/07/23 01:08:31 - mmengine - INFO - Epoch(train) [43][520/3757] lr: 1.0000e-03 eta: 14:08:06 time: 0.2238 data_time: 0.0268 memory: 6108 grad_norm: 5.7887 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6144 loss: 1.6144 2022/07/23 01:08:35 - mmengine - INFO - Epoch(train) [43][540/3757] lr: 1.0000e-03 eta: 14:08:02 time: 0.2281 data_time: 0.0219 memory: 6108 grad_norm: 5.7852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3283 loss: 1.3283 2022/07/23 01:08:40 - mmengine - INFO - Epoch(train) [43][560/3757] lr: 1.0000e-03 eta: 14:07:57 time: 0.2494 data_time: 0.0227 memory: 6108 grad_norm: 5.6144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3283 loss: 1.3283 2022/07/23 01:08:45 - mmengine - INFO - Epoch(train) [43][580/3757] lr: 1.0000e-03 eta: 14:07:53 time: 0.2420 data_time: 0.0202 memory: 6108 grad_norm: 5.8924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5052 loss: 1.5052 2022/07/23 01:08:50 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 1.0000e-03 eta: 14:07:48 time: 0.2323 data_time: 0.0275 memory: 6108 grad_norm: 5.7916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/07/23 01:08:55 - mmengine - INFO - Epoch(train) [43][620/3757] lr: 1.0000e-03 eta: 14:07:43 time: 0.2311 data_time: 0.0310 memory: 6108 grad_norm: 5.7550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3799 loss: 1.3799 2022/07/23 01:08:59 - mmengine - INFO - Epoch(train) [43][640/3757] lr: 1.0000e-03 eta: 14:07:38 time: 0.2225 data_time: 0.0208 memory: 6108 grad_norm: 5.8267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4622 loss: 1.4622 2022/07/23 01:09:04 - mmengine - INFO - Epoch(train) [43][660/3757] lr: 1.0000e-03 eta: 14:07:34 time: 0.2396 data_time: 0.0281 memory: 6108 grad_norm: 5.9637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6184 loss: 1.6184 2022/07/23 01:09:08 - mmengine - INFO - Epoch(train) [43][680/3757] lr: 1.0000e-03 eta: 14:07:29 time: 0.2233 data_time: 0.0232 memory: 6108 grad_norm: 5.8299 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4379 loss: 1.4379 2022/07/23 01:09:13 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 1.0000e-03 eta: 14:07:24 time: 0.2297 data_time: 0.0224 memory: 6108 grad_norm: 5.6892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/07/23 01:09:18 - mmengine - INFO - Epoch(train) [43][720/3757] lr: 1.0000e-03 eta: 14:07:19 time: 0.2280 data_time: 0.0200 memory: 6108 grad_norm: 5.8193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8186 loss: 1.8186 2022/07/23 01:09:22 - mmengine - INFO - Epoch(train) [43][740/3757] lr: 1.0000e-03 eta: 14:07:15 time: 0.2393 data_time: 0.0198 memory: 6108 grad_norm: 5.7054 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3519 loss: 1.3519 2022/07/23 01:09:27 - mmengine - INFO - Epoch(train) [43][760/3757] lr: 1.0000e-03 eta: 14:07:10 time: 0.2238 data_time: 0.0180 memory: 6108 grad_norm: 5.7814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0028 loss: 2.0028 2022/07/23 01:09:32 - mmengine - INFO - Epoch(train) [43][780/3757] lr: 1.0000e-03 eta: 14:07:06 time: 0.2672 data_time: 0.0200 memory: 6108 grad_norm: 6.1098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5793 loss: 1.5793 2022/07/23 01:09:37 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 1.0000e-03 eta: 14:07:01 time: 0.2262 data_time: 0.0214 memory: 6108 grad_norm: 5.7772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6422 loss: 1.6422 2022/07/23 01:09:41 - mmengine - INFO - Epoch(train) [43][820/3757] lr: 1.0000e-03 eta: 14:06:56 time: 0.2351 data_time: 0.0235 memory: 6108 grad_norm: 5.8201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5742 loss: 1.5742 2022/07/23 01:09:46 - mmengine - INFO - Epoch(train) [43][840/3757] lr: 1.0000e-03 eta: 14:06:52 time: 0.2307 data_time: 0.0223 memory: 6108 grad_norm: 5.8838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/07/23 01:09:51 - mmengine - INFO - Epoch(train) [43][860/3757] lr: 1.0000e-03 eta: 14:06:47 time: 0.2257 data_time: 0.0172 memory: 6108 grad_norm: 5.9509 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7658 loss: 1.7658 2022/07/23 01:09:55 - mmengine - INFO - Epoch(train) [43][880/3757] lr: 1.0000e-03 eta: 14:06:42 time: 0.2261 data_time: 0.0250 memory: 6108 grad_norm: 5.6756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/07/23 01:10:00 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 1.0000e-03 eta: 14:06:37 time: 0.2268 data_time: 0.0223 memory: 6108 grad_norm: 5.7715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6354 loss: 1.6354 2022/07/23 01:10:05 - mmengine - INFO - Epoch(train) [43][920/3757] lr: 1.0000e-03 eta: 14:06:32 time: 0.2441 data_time: 0.0249 memory: 6108 grad_norm: 5.7391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3961 loss: 1.3961 2022/07/23 01:10:09 - mmengine - INFO - Epoch(train) [43][940/3757] lr: 1.0000e-03 eta: 14:06:27 time: 0.2230 data_time: 0.0244 memory: 6108 grad_norm: 5.9816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6638 loss: 1.6638 2022/07/23 01:10:14 - mmengine - INFO - Epoch(train) [43][960/3757] lr: 1.0000e-03 eta: 14:06:23 time: 0.2311 data_time: 0.0232 memory: 6108 grad_norm: 5.6668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6825 loss: 1.6825 2022/07/23 01:10:18 - mmengine - INFO - Epoch(train) [43][980/3757] lr: 1.0000e-03 eta: 14:06:18 time: 0.2345 data_time: 0.0176 memory: 6108 grad_norm: 5.5911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5947 loss: 1.5947 2022/07/23 01:10:23 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 1.0000e-03 eta: 14:06:14 time: 0.2531 data_time: 0.0170 memory: 6108 grad_norm: 5.6802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5980 loss: 1.5980 2022/07/23 01:10:28 - mmengine - INFO - Epoch(train) [43][1020/3757] lr: 1.0000e-03 eta: 14:06:09 time: 0.2285 data_time: 0.0231 memory: 6108 grad_norm: 5.8943 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4773 loss: 1.4773 2022/07/23 01:10:33 - mmengine - INFO - Epoch(train) [43][1040/3757] lr: 1.0000e-03 eta: 14:06:04 time: 0.2250 data_time: 0.0250 memory: 6108 grad_norm: 5.9586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7532 loss: 1.7532 2022/07/23 01:10:37 - mmengine - INFO - Epoch(train) [43][1060/3757] lr: 1.0000e-03 eta: 14:05:59 time: 0.2264 data_time: 0.0210 memory: 6108 grad_norm: 5.7940 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6471 loss: 1.6471 2022/07/23 01:10:43 - mmengine - INFO - Epoch(train) [43][1080/3757] lr: 1.0000e-03 eta: 14:05:55 time: 0.2676 data_time: 0.0203 memory: 6108 grad_norm: 5.8004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5687 loss: 1.5687 2022/07/23 01:10:47 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 1.0000e-03 eta: 14:05:51 time: 0.2240 data_time: 0.0204 memory: 6108 grad_norm: 5.7667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4824 loss: 1.4824 2022/07/23 01:10:51 - mmengine - INFO - Epoch(train) [43][1120/3757] lr: 1.0000e-03 eta: 14:05:46 time: 0.2231 data_time: 0.0171 memory: 6108 grad_norm: 5.8859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8612 loss: 1.8612 2022/07/23 01:10:56 - mmengine - INFO - Epoch(train) [43][1140/3757] lr: 1.0000e-03 eta: 14:05:41 time: 0.2309 data_time: 0.0233 memory: 6108 grad_norm: 5.7118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6771 loss: 1.6771 2022/07/23 01:11:01 - mmengine - INFO - Epoch(train) [43][1160/3757] lr: 1.0000e-03 eta: 14:05:36 time: 0.2272 data_time: 0.0249 memory: 6108 grad_norm: 5.8978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/07/23 01:11:06 - mmengine - INFO - Epoch(train) [43][1180/3757] lr: 1.0000e-03 eta: 14:05:32 time: 0.2488 data_time: 0.0292 memory: 6108 grad_norm: 5.7314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/07/23 01:11:10 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 1.0000e-03 eta: 14:05:27 time: 0.2297 data_time: 0.0300 memory: 6108 grad_norm: 5.8654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5679 loss: 1.5679 2022/07/23 01:11:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:11:15 - mmengine - INFO - Epoch(train) [43][1220/3757] lr: 1.0000e-03 eta: 14:05:22 time: 0.2234 data_time: 0.0227 memory: 6108 grad_norm: 5.9828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5204 loss: 1.5204 2022/07/23 01:11:19 - mmengine - INFO - Epoch(train) [43][1240/3757] lr: 1.0000e-03 eta: 14:05:17 time: 0.2283 data_time: 0.0258 memory: 6108 grad_norm: 5.6554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3491 loss: 1.3491 2022/07/23 01:11:24 - mmengine - INFO - Epoch(train) [43][1260/3757] lr: 1.0000e-03 eta: 14:05:13 time: 0.2518 data_time: 0.0265 memory: 6108 grad_norm: 5.7177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/07/23 01:11:29 - mmengine - INFO - Epoch(train) [43][1280/3757] lr: 1.0000e-03 eta: 14:05:08 time: 0.2264 data_time: 0.0186 memory: 6108 grad_norm: 5.8113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5545 loss: 1.5545 2022/07/23 01:11:34 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 1.0000e-03 eta: 14:05:03 time: 0.2329 data_time: 0.0214 memory: 6108 grad_norm: 5.7883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6515 loss: 1.6515 2022/07/23 01:11:38 - mmengine - INFO - Epoch(train) [43][1320/3757] lr: 1.0000e-03 eta: 14:04:59 time: 0.2407 data_time: 0.0217 memory: 6108 grad_norm: 5.7135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/07/23 01:11:43 - mmengine - INFO - Epoch(train) [43][1340/3757] lr: 1.0000e-03 eta: 14:04:54 time: 0.2439 data_time: 0.0193 memory: 6108 grad_norm: 5.8373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5589 loss: 1.5589 2022/07/23 01:11:48 - mmengine - INFO - Epoch(train) [43][1360/3757] lr: 1.0000e-03 eta: 14:04:49 time: 0.2294 data_time: 0.0271 memory: 6108 grad_norm: 5.7212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4087 loss: 1.4087 2022/07/23 01:11:53 - mmengine - INFO - Epoch(train) [43][1380/3757] lr: 1.0000e-03 eta: 14:04:45 time: 0.2321 data_time: 0.0235 memory: 6108 grad_norm: 5.9458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7555 loss: 1.7555 2022/07/23 01:11:57 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 1.0000e-03 eta: 14:04:40 time: 0.2278 data_time: 0.0236 memory: 6108 grad_norm: 5.6703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3008 loss: 1.3008 2022/07/23 01:12:02 - mmengine - INFO - Epoch(train) [43][1420/3757] lr: 1.0000e-03 eta: 14:04:36 time: 0.2486 data_time: 0.0217 memory: 6108 grad_norm: 5.8697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5773 loss: 1.5773 2022/07/23 01:12:07 - mmengine - INFO - Epoch(train) [43][1440/3757] lr: 1.0000e-03 eta: 14:04:31 time: 0.2301 data_time: 0.0214 memory: 6108 grad_norm: 5.7070 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/07/23 01:12:11 - mmengine - INFO - Epoch(train) [43][1460/3757] lr: 1.0000e-03 eta: 14:04:26 time: 0.2270 data_time: 0.0223 memory: 6108 grad_norm: 5.8489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5542 loss: 1.5542 2022/07/23 01:12:16 - mmengine - INFO - Epoch(train) [43][1480/3757] lr: 1.0000e-03 eta: 14:04:21 time: 0.2301 data_time: 0.0275 memory: 6108 grad_norm: 5.8478 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6339 loss: 1.6339 2022/07/23 01:12:21 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 1.0000e-03 eta: 14:04:17 time: 0.2378 data_time: 0.0377 memory: 6108 grad_norm: 5.8510 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5542 loss: 1.5542 2022/07/23 01:12:26 - mmengine - INFO - Epoch(train) [43][1520/3757] lr: 1.0000e-03 eta: 14:04:12 time: 0.2562 data_time: 0.0207 memory: 6108 grad_norm: 5.9092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6324 loss: 1.6324 2022/07/23 01:12:30 - mmengine - INFO - Epoch(train) [43][1540/3757] lr: 1.0000e-03 eta: 14:04:08 time: 0.2266 data_time: 0.0212 memory: 6108 grad_norm: 5.9440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4933 loss: 1.4933 2022/07/23 01:12:35 - mmengine - INFO - Epoch(train) [43][1560/3757] lr: 1.0000e-03 eta: 14:04:03 time: 0.2316 data_time: 0.0253 memory: 6108 grad_norm: 6.0117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8483 loss: 1.8483 2022/07/23 01:12:40 - mmengine - INFO - Epoch(train) [43][1580/3757] lr: 1.0000e-03 eta: 14:03:59 time: 0.2488 data_time: 0.0223 memory: 6108 grad_norm: 5.8241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0348 loss: 2.0348 2022/07/23 01:12:45 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 1.0000e-03 eta: 14:03:54 time: 0.2355 data_time: 0.0244 memory: 6108 grad_norm: 5.7071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8911 loss: 1.8911 2022/07/23 01:12:49 - mmengine - INFO - Epoch(train) [43][1620/3757] lr: 1.0000e-03 eta: 14:03:49 time: 0.2269 data_time: 0.0227 memory: 6108 grad_norm: 5.7563 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4625 loss: 1.4625 2022/07/23 01:12:54 - mmengine - INFO - Epoch(train) [43][1640/3757] lr: 1.0000e-03 eta: 14:03:44 time: 0.2242 data_time: 0.0245 memory: 6108 grad_norm: 5.8121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6401 loss: 1.6401 2022/07/23 01:12:58 - mmengine - INFO - Epoch(train) [43][1660/3757] lr: 1.0000e-03 eta: 14:03:39 time: 0.2253 data_time: 0.0234 memory: 6108 grad_norm: 5.8707 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7814 loss: 1.7814 2022/07/23 01:13:03 - mmengine - INFO - Epoch(train) [43][1680/3757] lr: 1.0000e-03 eta: 14:03:34 time: 0.2316 data_time: 0.0251 memory: 6108 grad_norm: 5.9322 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/07/23 01:13:08 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 1.0000e-03 eta: 14:03:30 time: 0.2388 data_time: 0.0195 memory: 6108 grad_norm: 5.7330 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/07/23 01:13:13 - mmengine - INFO - Epoch(train) [43][1720/3757] lr: 1.0000e-03 eta: 14:03:26 time: 0.2476 data_time: 0.0238 memory: 6108 grad_norm: 5.9454 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5327 loss: 1.5327 2022/07/23 01:13:17 - mmengine - INFO - Epoch(train) [43][1740/3757] lr: 1.0000e-03 eta: 14:03:21 time: 0.2277 data_time: 0.0238 memory: 6108 grad_norm: 5.8029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6305 loss: 1.6305 2022/07/23 01:13:22 - mmengine - INFO - Epoch(train) [43][1760/3757] lr: 1.0000e-03 eta: 14:03:16 time: 0.2262 data_time: 0.0218 memory: 6108 grad_norm: 5.8463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/07/23 01:13:26 - mmengine - INFO - Epoch(train) [43][1780/3757] lr: 1.0000e-03 eta: 14:03:11 time: 0.2271 data_time: 0.0197 memory: 6108 grad_norm: 5.8456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7431 loss: 1.7431 2022/07/23 01:13:31 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 1.0000e-03 eta: 14:03:07 time: 0.2436 data_time: 0.0216 memory: 6108 grad_norm: 5.6812 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4876 loss: 1.4876 2022/07/23 01:13:36 - mmengine - INFO - Epoch(train) [43][1820/3757] lr: 1.0000e-03 eta: 14:03:02 time: 0.2419 data_time: 0.0161 memory: 6108 grad_norm: 5.9024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5028 loss: 1.5028 2022/07/23 01:13:41 - mmengine - INFO - Epoch(train) [43][1840/3757] lr: 1.0000e-03 eta: 14:02:57 time: 0.2384 data_time: 0.0197 memory: 6108 grad_norm: 5.9205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6595 loss: 1.6595 2022/07/23 01:13:46 - mmengine - INFO - Epoch(train) [43][1860/3757] lr: 1.0000e-03 eta: 14:02:53 time: 0.2282 data_time: 0.0296 memory: 6108 grad_norm: 5.7669 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7649 loss: 1.7649 2022/07/23 01:13:50 - mmengine - INFO - Epoch(train) [43][1880/3757] lr: 1.0000e-03 eta: 14:02:48 time: 0.2320 data_time: 0.0276 memory: 6108 grad_norm: 5.9002 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/07/23 01:13:55 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 1.0000e-03 eta: 14:02:43 time: 0.2208 data_time: 0.0202 memory: 6108 grad_norm: 5.9621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6258 loss: 1.6258 2022/07/23 01:13:59 - mmengine - INFO - Epoch(train) [43][1920/3757] lr: 1.0000e-03 eta: 14:02:38 time: 0.2412 data_time: 0.0212 memory: 6108 grad_norm: 5.8396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6135 loss: 1.6135 2022/07/23 01:14:04 - mmengine - INFO - Epoch(train) [43][1940/3757] lr: 1.0000e-03 eta: 14:02:34 time: 0.2317 data_time: 0.0218 memory: 6108 grad_norm: 5.9625 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4817 loss: 1.4817 2022/07/23 01:14:09 - mmengine - INFO - Epoch(train) [43][1960/3757] lr: 1.0000e-03 eta: 14:02:29 time: 0.2385 data_time: 0.0274 memory: 6108 grad_norm: 5.9400 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7294 loss: 1.7294 2022/07/23 01:14:14 - mmengine - INFO - Epoch(train) [43][1980/3757] lr: 1.0000e-03 eta: 14:02:25 time: 0.2509 data_time: 0.0257 memory: 6108 grad_norm: 5.8902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5448 loss: 1.5448 2022/07/23 01:14:19 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 1.0000e-03 eta: 14:02:20 time: 0.2352 data_time: 0.0252 memory: 6108 grad_norm: 5.6858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4310 loss: 1.4310 2022/07/23 01:14:23 - mmengine - INFO - Epoch(train) [43][2020/3757] lr: 1.0000e-03 eta: 14:02:15 time: 0.2332 data_time: 0.0211 memory: 6108 grad_norm: 5.7279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5916 loss: 1.5916 2022/07/23 01:14:28 - mmengine - INFO - Epoch(train) [43][2040/3757] lr: 1.0000e-03 eta: 14:02:11 time: 0.2284 data_time: 0.0267 memory: 6108 grad_norm: 5.9440 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5431 loss: 1.5431 2022/07/23 01:14:33 - mmengine - INFO - Epoch(train) [43][2060/3757] lr: 1.0000e-03 eta: 14:02:06 time: 0.2324 data_time: 0.0186 memory: 6108 grad_norm: 5.8495 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7676 loss: 1.7676 2022/07/23 01:14:37 - mmengine - INFO - Epoch(train) [43][2080/3757] lr: 1.0000e-03 eta: 14:02:01 time: 0.2402 data_time: 0.0203 memory: 6108 grad_norm: 5.8997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6782 loss: 1.6782 2022/07/23 01:14:42 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 1.0000e-03 eta: 14:01:57 time: 0.2436 data_time: 0.0347 memory: 6108 grad_norm: 5.8125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6136 loss: 1.6136 2022/07/23 01:14:47 - mmengine - INFO - Epoch(train) [43][2120/3757] lr: 1.0000e-03 eta: 14:01:52 time: 0.2258 data_time: 0.0249 memory: 6108 grad_norm: 5.8182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4180 loss: 1.4180 2022/07/23 01:14:51 - mmengine - INFO - Epoch(train) [43][2140/3757] lr: 1.0000e-03 eta: 14:01:47 time: 0.2234 data_time: 0.0228 memory: 6108 grad_norm: 5.8229 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/07/23 01:14:56 - mmengine - INFO - Epoch(train) [43][2160/3757] lr: 1.0000e-03 eta: 14:01:43 time: 0.2442 data_time: 0.0203 memory: 6108 grad_norm: 5.6941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/07/23 01:15:01 - mmengine - INFO - Epoch(train) [43][2180/3757] lr: 1.0000e-03 eta: 14:01:38 time: 0.2221 data_time: 0.0192 memory: 6108 grad_norm: 5.7948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4946 loss: 1.4946 2022/07/23 01:15:06 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 1.0000e-03 eta: 14:01:33 time: 0.2493 data_time: 0.0238 memory: 6108 grad_norm: 5.7896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4391 loss: 1.4391 2022/07/23 01:15:07 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:15:10 - mmengine - INFO - Epoch(train) [43][2220/3757] lr: 1.0000e-03 eta: 14:01:29 time: 0.2398 data_time: 0.0208 memory: 6108 grad_norm: 5.7963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5383 loss: 1.5383 2022/07/23 01:15:15 - mmengine - INFO - Epoch(train) [43][2240/3757] lr: 1.0000e-03 eta: 14:01:24 time: 0.2302 data_time: 0.0205 memory: 6108 grad_norm: 5.8306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/07/23 01:15:20 - mmengine - INFO - Epoch(train) [43][2260/3757] lr: 1.0000e-03 eta: 14:01:19 time: 0.2268 data_time: 0.0252 memory: 6108 grad_norm: 6.0751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8957 loss: 1.8957 2022/07/23 01:15:25 - mmengine - INFO - Epoch(train) [43][2280/3757] lr: 1.0000e-03 eta: 14:01:15 time: 0.2418 data_time: 0.0263 memory: 6108 grad_norm: 5.8249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4779 loss: 1.4779 2022/07/23 01:15:29 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 1.0000e-03 eta: 14:01:10 time: 0.2291 data_time: 0.0173 memory: 6108 grad_norm: 5.8619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3250 loss: 1.3250 2022/07/23 01:15:34 - mmengine - INFO - Epoch(train) [43][2320/3757] lr: 1.0000e-03 eta: 14:01:05 time: 0.2423 data_time: 0.0198 memory: 6108 grad_norm: 5.9398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/07/23 01:15:39 - mmengine - INFO - Epoch(train) [43][2340/3757] lr: 1.0000e-03 eta: 14:01:01 time: 0.2308 data_time: 0.0237 memory: 6108 grad_norm: 5.8101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2946 loss: 1.2946 2022/07/23 01:15:43 - mmengine - INFO - Epoch(train) [43][2360/3757] lr: 1.0000e-03 eta: 14:00:56 time: 0.2321 data_time: 0.0198 memory: 6108 grad_norm: 5.9179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6997 loss: 1.6997 2022/07/23 01:15:48 - mmengine - INFO - Epoch(train) [43][2380/3757] lr: 1.0000e-03 eta: 14:00:51 time: 0.2329 data_time: 0.0200 memory: 6108 grad_norm: 5.6835 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5052 loss: 1.5052 2022/07/23 01:15:53 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 1.0000e-03 eta: 14:00:47 time: 0.2500 data_time: 0.0214 memory: 6108 grad_norm: 5.8822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3644 loss: 1.3644 2022/07/23 01:15:57 - mmengine - INFO - Epoch(train) [43][2420/3757] lr: 1.0000e-03 eta: 14:00:42 time: 0.2258 data_time: 0.0221 memory: 6108 grad_norm: 5.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4257 loss: 1.4257 2022/07/23 01:16:02 - mmengine - INFO - Epoch(train) [43][2440/3757] lr: 1.0000e-03 eta: 14:00:38 time: 0.2377 data_time: 0.0203 memory: 6108 grad_norm: 6.0168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5504 loss: 1.5504 2022/07/23 01:16:07 - mmengine - INFO - Epoch(train) [43][2460/3757] lr: 1.0000e-03 eta: 14:00:33 time: 0.2318 data_time: 0.0233 memory: 6108 grad_norm: 5.8032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3016 loss: 1.3016 2022/07/23 01:16:11 - mmengine - INFO - Epoch(train) [43][2480/3757] lr: 1.0000e-03 eta: 14:00:28 time: 0.2228 data_time: 0.0189 memory: 6108 grad_norm: 5.8012 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6149 loss: 1.6149 2022/07/23 01:16:16 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 1.0000e-03 eta: 14:00:23 time: 0.2357 data_time: 0.0170 memory: 6108 grad_norm: 5.8645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5883 loss: 1.5883 2022/07/23 01:16:21 - mmengine - INFO - Epoch(train) [43][2520/3757] lr: 1.0000e-03 eta: 14:00:18 time: 0.2274 data_time: 0.0284 memory: 6108 grad_norm: 5.8857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6298 loss: 1.6298 2022/07/23 01:16:26 - mmengine - INFO - Epoch(train) [43][2540/3757] lr: 1.0000e-03 eta: 14:00:14 time: 0.2433 data_time: 0.0193 memory: 6108 grad_norm: 5.6894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4162 loss: 1.4162 2022/07/23 01:16:30 - mmengine - INFO - Epoch(train) [43][2560/3757] lr: 1.0000e-03 eta: 14:00:09 time: 0.2443 data_time: 0.0202 memory: 6108 grad_norm: 6.0562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/07/23 01:16:35 - mmengine - INFO - Epoch(train) [43][2580/3757] lr: 1.0000e-03 eta: 14:00:05 time: 0.2327 data_time: 0.0191 memory: 6108 grad_norm: 5.7763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6707 loss: 1.6707 2022/07/23 01:16:40 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 1.0000e-03 eta: 14:00:00 time: 0.2260 data_time: 0.0177 memory: 6108 grad_norm: 5.9490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6449 loss: 1.6449 2022/07/23 01:16:44 - mmengine - INFO - Epoch(train) [43][2620/3757] lr: 1.0000e-03 eta: 13:59:55 time: 0.2360 data_time: 0.0168 memory: 6108 grad_norm: 5.7430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4184 loss: 1.4184 2022/07/23 01:16:49 - mmengine - INFO - Epoch(train) [43][2640/3757] lr: 1.0000e-03 eta: 13:59:50 time: 0.2236 data_time: 0.0238 memory: 6108 grad_norm: 5.6349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5449 loss: 1.5449 2022/07/23 01:16:54 - mmengine - INFO - Epoch(train) [43][2660/3757] lr: 1.0000e-03 eta: 13:59:46 time: 0.2475 data_time: 0.0179 memory: 6108 grad_norm: 5.7908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7611 loss: 1.7611 2022/07/23 01:16:59 - mmengine - INFO - Epoch(train) [43][2680/3757] lr: 1.0000e-03 eta: 13:59:41 time: 0.2365 data_time: 0.0375 memory: 6108 grad_norm: 5.6776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3320 loss: 1.3320 2022/07/23 01:17:03 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 1.0000e-03 eta: 13:59:37 time: 0.2418 data_time: 0.0227 memory: 6108 grad_norm: 5.5447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4003 loss: 1.4003 2022/07/23 01:17:08 - mmengine - INFO - Epoch(train) [43][2720/3757] lr: 1.0000e-03 eta: 13:59:32 time: 0.2361 data_time: 0.0372 memory: 6108 grad_norm: 5.8277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5189 loss: 1.5189 2022/07/23 01:17:13 - mmengine - INFO - Epoch(train) [43][2740/3757] lr: 1.0000e-03 eta: 13:59:27 time: 0.2250 data_time: 0.0186 memory: 6108 grad_norm: 5.8418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5752 loss: 1.5752 2022/07/23 01:17:17 - mmengine - INFO - Epoch(train) [43][2760/3757] lr: 1.0000e-03 eta: 13:59:22 time: 0.2274 data_time: 0.0283 memory: 6108 grad_norm: 5.9326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6351 loss: 1.6351 2022/07/23 01:17:23 - mmengine - INFO - Epoch(train) [43][2780/3757] lr: 1.0000e-03 eta: 13:59:19 time: 0.2653 data_time: 0.0234 memory: 6108 grad_norm: 5.8982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7344 loss: 1.7344 2022/07/23 01:17:27 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 1.0000e-03 eta: 13:59:13 time: 0.2179 data_time: 0.0208 memory: 6108 grad_norm: 6.1831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8848 loss: 1.8848 2022/07/23 01:17:32 - mmengine - INFO - Epoch(train) [43][2820/3757] lr: 1.0000e-03 eta: 13:59:09 time: 0.2302 data_time: 0.0307 memory: 6108 grad_norm: 6.1126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5534 loss: 1.5534 2022/07/23 01:17:36 - mmengine - INFO - Epoch(train) [43][2840/3757] lr: 1.0000e-03 eta: 13:59:04 time: 0.2263 data_time: 0.0198 memory: 6108 grad_norm: 5.7391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5314 loss: 1.5314 2022/07/23 01:17:41 - mmengine - INFO - Epoch(train) [43][2860/3757] lr: 1.0000e-03 eta: 13:58:59 time: 0.2238 data_time: 0.0206 memory: 6108 grad_norm: 5.9534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4058 loss: 1.4058 2022/07/23 01:17:46 - mmengine - INFO - Epoch(train) [43][2880/3757] lr: 1.0000e-03 eta: 13:58:55 time: 0.2503 data_time: 0.0261 memory: 6108 grad_norm: 5.7693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4124 loss: 1.4124 2022/07/23 01:17:50 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 1.0000e-03 eta: 13:58:50 time: 0.2250 data_time: 0.0179 memory: 6108 grad_norm: 5.9416 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6904 loss: 1.6904 2022/07/23 01:17:55 - mmengine - INFO - Epoch(train) [43][2920/3757] lr: 1.0000e-03 eta: 13:58:45 time: 0.2243 data_time: 0.0215 memory: 6108 grad_norm: 5.8708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7447 loss: 1.7447 2022/07/23 01:17:59 - mmengine - INFO - Epoch(train) [43][2940/3757] lr: 1.0000e-03 eta: 13:58:40 time: 0.2266 data_time: 0.0239 memory: 6108 grad_norm: 5.9650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5368 loss: 1.5368 2022/07/23 01:18:05 - mmengine - INFO - Epoch(train) [43][2960/3757] lr: 1.0000e-03 eta: 13:58:36 time: 0.2705 data_time: 0.0222 memory: 6108 grad_norm: 5.6782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/07/23 01:18:09 - mmengine - INFO - Epoch(train) [43][2980/3757] lr: 1.0000e-03 eta: 13:58:31 time: 0.2232 data_time: 0.0208 memory: 6108 grad_norm: 5.8569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4621 loss: 1.4621 2022/07/23 01:18:14 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 1.0000e-03 eta: 13:58:26 time: 0.2254 data_time: 0.0224 memory: 6108 grad_norm: 5.8995 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2620 loss: 1.2620 2022/07/23 01:18:18 - mmengine - INFO - Epoch(train) [43][3020/3757] lr: 1.0000e-03 eta: 13:58:21 time: 0.2268 data_time: 0.0191 memory: 6108 grad_norm: 5.8310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8867 loss: 1.8867 2022/07/23 01:18:23 - mmengine - INFO - Epoch(train) [43][3040/3757] lr: 1.0000e-03 eta: 13:58:17 time: 0.2400 data_time: 0.0223 memory: 6108 grad_norm: 5.9519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4773 loss: 1.4773 2022/07/23 01:18:27 - mmengine - INFO - Epoch(train) [43][3060/3757] lr: 1.0000e-03 eta: 13:58:12 time: 0.2226 data_time: 0.0249 memory: 6108 grad_norm: 5.9487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6511 loss: 1.6511 2022/07/23 01:18:32 - mmengine - INFO - Epoch(train) [43][3080/3757] lr: 1.0000e-03 eta: 13:58:07 time: 0.2363 data_time: 0.0180 memory: 6108 grad_norm: 5.7892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/07/23 01:18:37 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 1.0000e-03 eta: 13:58:02 time: 0.2321 data_time: 0.0176 memory: 6108 grad_norm: 5.8373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/07/23 01:18:41 - mmengine - INFO - Epoch(train) [43][3120/3757] lr: 1.0000e-03 eta: 13:57:58 time: 0.2264 data_time: 0.0224 memory: 6108 grad_norm: 5.9737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6421 loss: 1.6421 2022/07/23 01:18:46 - mmengine - INFO - Epoch(train) [43][3140/3757] lr: 1.0000e-03 eta: 13:57:53 time: 0.2345 data_time: 0.0222 memory: 6108 grad_norm: 5.7335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3907 loss: 1.3907 2022/07/23 01:18:51 - mmengine - INFO - Epoch(train) [43][3160/3757] lr: 1.0000e-03 eta: 13:57:48 time: 0.2354 data_time: 0.0165 memory: 6108 grad_norm: 5.7884 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5457 loss: 1.5457 2022/07/23 01:18:55 - mmengine - INFO - Epoch(train) [43][3180/3757] lr: 1.0000e-03 eta: 13:57:43 time: 0.2309 data_time: 0.0238 memory: 6108 grad_norm: 5.7920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8008 loss: 1.8008 2022/07/23 01:19:00 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 1.0000e-03 eta: 13:57:39 time: 0.2328 data_time: 0.0289 memory: 6108 grad_norm: 6.0476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7064 loss: 1.7064 2022/07/23 01:19:02 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:19:05 - mmengine - INFO - Epoch(train) [43][3220/3757] lr: 1.0000e-03 eta: 13:57:34 time: 0.2396 data_time: 0.0216 memory: 6108 grad_norm: 5.8527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6785 loss: 1.6785 2022/07/23 01:19:10 - mmengine - INFO - Epoch(train) [43][3240/3757] lr: 1.0000e-03 eta: 13:57:29 time: 0.2270 data_time: 0.0229 memory: 6108 grad_norm: 5.8887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4751 loss: 1.4751 2022/07/23 01:19:14 - mmengine - INFO - Epoch(train) [43][3260/3757] lr: 1.0000e-03 eta: 13:57:25 time: 0.2383 data_time: 0.0378 memory: 6108 grad_norm: 5.9681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3162 loss: 1.3162 2022/07/23 01:19:19 - mmengine - INFO - Epoch(train) [43][3280/3757] lr: 1.0000e-03 eta: 13:57:20 time: 0.2290 data_time: 0.0193 memory: 6108 grad_norm: 5.8024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6255 loss: 1.6255 2022/07/23 01:19:24 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 1.0000e-03 eta: 13:57:15 time: 0.2380 data_time: 0.0269 memory: 6108 grad_norm: 5.9593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5474 loss: 1.5474 2022/07/23 01:19:28 - mmengine - INFO - Epoch(train) [43][3320/3757] lr: 1.0000e-03 eta: 13:57:11 time: 0.2363 data_time: 0.0219 memory: 6108 grad_norm: 5.8772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3366 loss: 1.3366 2022/07/23 01:19:33 - mmengine - INFO - Epoch(train) [43][3340/3757] lr: 1.0000e-03 eta: 13:57:06 time: 0.2385 data_time: 0.0170 memory: 6108 grad_norm: 5.7122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3582 loss: 1.3582 2022/07/23 01:19:38 - mmengine - INFO - Epoch(train) [43][3360/3757] lr: 1.0000e-03 eta: 13:57:01 time: 0.2324 data_time: 0.0219 memory: 6108 grad_norm: 5.9386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7009 loss: 1.7009 2022/07/23 01:19:43 - mmengine - INFO - Epoch(train) [43][3380/3757] lr: 1.0000e-03 eta: 13:56:57 time: 0.2418 data_time: 0.0245 memory: 6108 grad_norm: 5.7112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5053 loss: 1.5053 2022/07/23 01:19:47 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 1.0000e-03 eta: 13:56:52 time: 0.2238 data_time: 0.0208 memory: 6108 grad_norm: 5.7999 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7456 loss: 1.7456 2022/07/23 01:19:52 - mmengine - INFO - Epoch(train) [43][3420/3757] lr: 1.0000e-03 eta: 13:56:47 time: 0.2248 data_time: 0.0276 memory: 6108 grad_norm: 5.9185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3736 loss: 1.3736 2022/07/23 01:19:56 - mmengine - INFO - Epoch(train) [43][3440/3757] lr: 1.0000e-03 eta: 13:56:42 time: 0.2264 data_time: 0.0213 memory: 6108 grad_norm: 5.8982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6956 loss: 1.6956 2022/07/23 01:20:01 - mmengine - INFO - Epoch(train) [43][3460/3757] lr: 1.0000e-03 eta: 13:56:37 time: 0.2277 data_time: 0.0219 memory: 6108 grad_norm: 5.8944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6726 loss: 1.6726 2022/07/23 01:20:06 - mmengine - INFO - Epoch(train) [43][3480/3757] lr: 1.0000e-03 eta: 13:56:33 time: 0.2516 data_time: 0.0315 memory: 6108 grad_norm: 5.6763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3642 loss: 1.3642 2022/07/23 01:20:11 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 1.0000e-03 eta: 13:56:29 time: 0.2370 data_time: 0.0194 memory: 6108 grad_norm: 6.0340 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6262 loss: 1.6262 2022/07/23 01:20:15 - mmengine - INFO - Epoch(train) [43][3520/3757] lr: 1.0000e-03 eta: 13:56:24 time: 0.2291 data_time: 0.0200 memory: 6108 grad_norm: 6.1902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6617 loss: 1.6617 2022/07/23 01:20:20 - mmengine - INFO - Epoch(train) [43][3540/3757] lr: 1.0000e-03 eta: 13:56:19 time: 0.2354 data_time: 0.0233 memory: 6108 grad_norm: 5.9869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/07/23 01:20:25 - mmengine - INFO - Epoch(train) [43][3560/3757] lr: 1.0000e-03 eta: 13:56:15 time: 0.2591 data_time: 0.0571 memory: 6108 grad_norm: 5.7301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5105 loss: 1.5105 2022/07/23 01:20:30 - mmengine - INFO - Epoch(train) [43][3580/3757] lr: 1.0000e-03 eta: 13:56:10 time: 0.2256 data_time: 0.0185 memory: 6108 grad_norm: 6.0301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6696 loss: 1.6696 2022/07/23 01:20:34 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 1.0000e-03 eta: 13:56:05 time: 0.2285 data_time: 0.0249 memory: 6108 grad_norm: 5.8032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5509 loss: 1.5509 2022/07/23 01:20:39 - mmengine - INFO - Epoch(train) [43][3620/3757] lr: 1.0000e-03 eta: 13:56:00 time: 0.2254 data_time: 0.0185 memory: 6108 grad_norm: 6.0156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/07/23 01:20:44 - mmengine - INFO - Epoch(train) [43][3640/3757] lr: 1.0000e-03 eta: 13:55:56 time: 0.2427 data_time: 0.0231 memory: 6108 grad_norm: 5.9679 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4872 loss: 1.4872 2022/07/23 01:20:48 - mmengine - INFO - Epoch(train) [43][3660/3757] lr: 1.0000e-03 eta: 13:55:51 time: 0.2251 data_time: 0.0225 memory: 6108 grad_norm: 6.0086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8568 loss: 1.8568 2022/07/23 01:20:53 - mmengine - INFO - Epoch(train) [43][3680/3757] lr: 1.0000e-03 eta: 13:55:47 time: 0.2429 data_time: 0.0225 memory: 6108 grad_norm: 5.9269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4792 loss: 1.4792 2022/07/23 01:20:58 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 1.0000e-03 eta: 13:55:42 time: 0.2237 data_time: 0.0194 memory: 6108 grad_norm: 5.7365 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4419 loss: 1.4419 2022/07/23 01:21:02 - mmengine - INFO - Epoch(train) [43][3720/3757] lr: 1.0000e-03 eta: 13:55:37 time: 0.2384 data_time: 0.0279 memory: 6108 grad_norm: 5.7913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4608 loss: 1.4608 2022/07/23 01:21:07 - mmengine - INFO - Epoch(train) [43][3740/3757] lr: 1.0000e-03 eta: 13:55:33 time: 0.2374 data_time: 0.0188 memory: 6108 grad_norm: 6.0797 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5890 loss: 1.5890 2022/07/23 01:21:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:21:10 - mmengine - INFO - Epoch(train) [43][3757/3757] lr: 1.0000e-03 eta: 13:55:33 time: 0.1915 data_time: 0.0128 memory: 6108 grad_norm: 6.1681 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 1.5865 loss: 1.5865 2022/07/23 01:21:16 - mmengine - INFO - Epoch(val) [43][20/310] eta: 0:01:19 time: 0.2734 data_time: 0.1916 memory: 1428 2022/07/23 01:21:20 - mmengine - INFO - Epoch(val) [43][40/310] eta: 0:00:50 time: 0.1855 data_time: 0.1044 memory: 1428 2022/07/23 01:21:24 - mmengine - INFO - Epoch(val) [43][60/310] eta: 0:00:58 time: 0.2344 data_time: 0.1328 memory: 1428 2022/07/23 01:21:28 - mmengine - INFO - Epoch(val) [43][80/310] eta: 0:00:40 time: 0.1751 data_time: 0.1006 memory: 1428 2022/07/23 01:21:32 - mmengine - INFO - Epoch(val) [43][100/310] eta: 0:00:49 time: 0.2360 data_time: 0.1584 memory: 1428 2022/07/23 01:21:36 - mmengine - INFO - Epoch(val) [43][120/310] eta: 0:00:35 time: 0.1870 data_time: 0.1117 memory: 1428 2022/07/23 01:21:41 - mmengine - INFO - Epoch(val) [43][140/310] eta: 0:00:39 time: 0.2346 data_time: 0.1620 memory: 1428 2022/07/23 01:21:46 - mmengine - INFO - Epoch(val) [43][160/310] eta: 0:00:34 time: 0.2322 data_time: 0.1449 memory: 1428 2022/07/23 01:21:50 - mmengine - INFO - Epoch(val) [43][180/310] eta: 0:00:27 time: 0.2100 data_time: 0.1325 memory: 1428 2022/07/23 01:21:54 - mmengine - INFO - Epoch(val) [43][200/310] eta: 0:00:21 time: 0.1978 data_time: 0.1202 memory: 1428 2022/07/23 01:21:59 - mmengine - INFO - Epoch(val) [43][220/310] eta: 0:00:23 time: 0.2610 data_time: 0.1845 memory: 1428 2022/07/23 01:22:03 - mmengine - INFO - Epoch(val) [43][240/310] eta: 0:00:15 time: 0.2158 data_time: 0.1209 memory: 1428 2022/07/23 01:22:08 - mmengine - INFO - Epoch(val) [43][260/310] eta: 0:00:11 time: 0.2260 data_time: 0.1478 memory: 1428 2022/07/23 01:22:12 - mmengine - INFO - Epoch(val) [43][280/310] eta: 0:00:05 time: 0.1930 data_time: 0.1144 memory: 1428 2022/07/23 01:22:16 - mmengine - INFO - Epoch(val) [43][300/310] eta: 0:00:02 time: 0.2156 data_time: 0.1442 memory: 1428 2022/07/23 01:22:19 - mmengine - INFO - Epoch(val) [43][310/310] acc/top1: 0.6341 acc/top5: 0.8490 acc/mean1: 0.6340 2022/07/23 01:22:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/07/23 01:22:21 - mmengine - INFO - The best checkpoint with 0.6341 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/07/23 01:22:27 - mmengine - INFO - Epoch(train) [44][20/3757] lr: 1.0000e-03 eta: 13:55:19 time: 0.2647 data_time: 0.0746 memory: 6108 grad_norm: 5.9358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3940 loss: 1.3940 2022/07/23 01:22:31 - mmengine - INFO - Epoch(train) [44][40/3757] lr: 1.0000e-03 eta: 13:55:15 time: 0.2307 data_time: 0.0199 memory: 6108 grad_norm: 5.8712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3915 loss: 1.3915 2022/07/23 01:22:37 - mmengine - INFO - Epoch(train) [44][60/3757] lr: 1.0000e-03 eta: 13:55:11 time: 0.2595 data_time: 0.0242 memory: 6108 grad_norm: 5.8717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7460 loss: 1.7460 2022/07/23 01:22:41 - mmengine - INFO - Epoch(train) [44][80/3757] lr: 1.0000e-03 eta: 13:55:06 time: 0.2310 data_time: 0.0225 memory: 6108 grad_norm: 5.8419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7725 loss: 1.7725 2022/07/23 01:22:46 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 1.0000e-03 eta: 13:55:01 time: 0.2299 data_time: 0.0180 memory: 6108 grad_norm: 5.8921 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3998 loss: 1.3998 2022/07/23 01:22:51 - mmengine - INFO - Epoch(train) [44][120/3757] lr: 1.0000e-03 eta: 13:54:56 time: 0.2338 data_time: 0.0288 memory: 6108 grad_norm: 5.8817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7566 loss: 1.7566 2022/07/23 01:22:55 - mmengine - INFO - Epoch(train) [44][140/3757] lr: 1.0000e-03 eta: 13:54:52 time: 0.2347 data_time: 0.0199 memory: 6108 grad_norm: 5.8961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7293 loss: 1.7293 2022/07/23 01:23:00 - mmengine - INFO - Epoch(train) [44][160/3757] lr: 1.0000e-03 eta: 13:54:47 time: 0.2273 data_time: 0.0226 memory: 6108 grad_norm: 5.9943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5762 loss: 1.5762 2022/07/23 01:23:04 - mmengine - INFO - Epoch(train) [44][180/3757] lr: 1.0000e-03 eta: 13:54:42 time: 0.2313 data_time: 0.0238 memory: 6108 grad_norm: 5.7421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4707 loss: 1.4707 2022/07/23 01:23:09 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 1.0000e-03 eta: 13:54:37 time: 0.2271 data_time: 0.0244 memory: 6108 grad_norm: 5.7575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8109 loss: 1.8109 2022/07/23 01:23:14 - mmengine - INFO - Epoch(train) [44][220/3757] lr: 1.0000e-03 eta: 13:54:33 time: 0.2592 data_time: 0.0201 memory: 6108 grad_norm: 5.8912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5191 loss: 1.5191 2022/07/23 01:23:19 - mmengine - INFO - Epoch(train) [44][240/3757] lr: 1.0000e-03 eta: 13:54:28 time: 0.2243 data_time: 0.0222 memory: 6108 grad_norm: 5.7897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3222 loss: 1.3222 2022/07/23 01:23:23 - mmengine - INFO - Epoch(train) [44][260/3757] lr: 1.0000e-03 eta: 13:54:23 time: 0.2267 data_time: 0.0210 memory: 6108 grad_norm: 5.7246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7269 loss: 1.7269 2022/07/23 01:23:28 - mmengine - INFO - Epoch(train) [44][280/3757] lr: 1.0000e-03 eta: 13:54:19 time: 0.2268 data_time: 0.0240 memory: 6108 grad_norm: 6.1019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6755 loss: 1.6755 2022/07/23 01:23:33 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 1.0000e-03 eta: 13:54:15 time: 0.2678 data_time: 0.0295 memory: 6108 grad_norm: 6.0180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/07/23 01:23:38 - mmengine - INFO - Epoch(train) [44][320/3757] lr: 1.0000e-03 eta: 13:54:10 time: 0.2201 data_time: 0.0163 memory: 6108 grad_norm: 5.8571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/07/23 01:23:42 - mmengine - INFO - Epoch(train) [44][340/3757] lr: 1.0000e-03 eta: 13:54:05 time: 0.2248 data_time: 0.0174 memory: 6108 grad_norm: 5.9845 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7991 loss: 1.7991 2022/07/23 01:23:47 - mmengine - INFO - Epoch(train) [44][360/3757] lr: 1.0000e-03 eta: 13:54:01 time: 0.2519 data_time: 0.0189 memory: 6108 grad_norm: 5.9176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7599 loss: 1.7599 2022/07/23 01:23:52 - mmengine - INFO - Epoch(train) [44][380/3757] lr: 1.0000e-03 eta: 13:53:56 time: 0.2213 data_time: 0.0181 memory: 6108 grad_norm: 5.8508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/07/23 01:23:56 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 1.0000e-03 eta: 13:53:51 time: 0.2379 data_time: 0.0174 memory: 6108 grad_norm: 5.8460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5641 loss: 1.5641 2022/07/23 01:24:01 - mmengine - INFO - Epoch(train) [44][420/3757] lr: 1.0000e-03 eta: 13:53:46 time: 0.2290 data_time: 0.0208 memory: 6108 grad_norm: 5.9530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5514 loss: 1.5514 2022/07/23 01:24:06 - mmengine - INFO - Epoch(train) [44][440/3757] lr: 1.0000e-03 eta: 13:53:42 time: 0.2507 data_time: 0.0200 memory: 6108 grad_norm: 5.8145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/23 01:24:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:24:11 - mmengine - INFO - Epoch(train) [44][460/3757] lr: 1.0000e-03 eta: 13:53:37 time: 0.2286 data_time: 0.0212 memory: 6108 grad_norm: 5.5049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5709 loss: 1.5709 2022/07/23 01:24:15 - mmengine - INFO - Epoch(train) [44][480/3757] lr: 1.0000e-03 eta: 13:53:32 time: 0.2254 data_time: 0.0268 memory: 6108 grad_norm: 5.8625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/07/23 01:24:20 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 1.0000e-03 eta: 13:53:27 time: 0.2252 data_time: 0.0176 memory: 6108 grad_norm: 6.0113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4792 loss: 1.4792 2022/07/23 01:24:25 - mmengine - INFO - Epoch(train) [44][520/3757] lr: 1.0000e-03 eta: 13:53:23 time: 0.2593 data_time: 0.0219 memory: 6108 grad_norm: 6.0365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5283 loss: 1.5283 2022/07/23 01:24:29 - mmengine - INFO - Epoch(train) [44][540/3757] lr: 1.0000e-03 eta: 13:53:18 time: 0.2233 data_time: 0.0206 memory: 6108 grad_norm: 5.8022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8249 loss: 1.8249 2022/07/23 01:24:34 - mmengine - INFO - Epoch(train) [44][560/3757] lr: 1.0000e-03 eta: 13:53:14 time: 0.2443 data_time: 0.0222 memory: 6108 grad_norm: 6.1418 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6209 loss: 1.6209 2022/07/23 01:24:39 - mmengine - INFO - Epoch(train) [44][580/3757] lr: 1.0000e-03 eta: 13:53:09 time: 0.2268 data_time: 0.0208 memory: 6108 grad_norm: 5.7340 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4663 loss: 1.4663 2022/07/23 01:24:44 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 1.0000e-03 eta: 13:53:04 time: 0.2385 data_time: 0.0224 memory: 6108 grad_norm: 5.9402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4170 loss: 1.4170 2022/07/23 01:24:48 - mmengine - INFO - Epoch(train) [44][620/3757] lr: 1.0000e-03 eta: 13:52:59 time: 0.2242 data_time: 0.0225 memory: 6108 grad_norm: 6.0093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5024 loss: 1.5024 2022/07/23 01:24:57 - mmengine - INFO - Epoch(train) [44][640/3757] lr: 1.0000e-03 eta: 13:53:01 time: 0.4592 data_time: 0.0199 memory: 6108 grad_norm: 6.0228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8612 loss: 1.8612 2022/07/23 01:25:02 - mmengine - INFO - Epoch(train) [44][660/3757] lr: 1.0000e-03 eta: 13:52:56 time: 0.2407 data_time: 0.0182 memory: 6108 grad_norm: 5.9991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6005 loss: 1.6005 2022/07/23 01:25:07 - mmengine - INFO - Epoch(train) [44][680/3757] lr: 1.0000e-03 eta: 13:52:51 time: 0.2320 data_time: 0.0212 memory: 6108 grad_norm: 5.7080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5520 loss: 1.5520 2022/07/23 01:25:11 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 1.0000e-03 eta: 13:52:47 time: 0.2279 data_time: 0.0214 memory: 6108 grad_norm: 5.9221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7247 loss: 1.7247 2022/07/23 01:25:16 - mmengine - INFO - Epoch(train) [44][720/3757] lr: 1.0000e-03 eta: 13:52:42 time: 0.2359 data_time: 0.0201 memory: 6108 grad_norm: 5.8254 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4573 loss: 1.4573 2022/07/23 01:25:21 - mmengine - INFO - Epoch(train) [44][740/3757] lr: 1.0000e-03 eta: 13:52:37 time: 0.2336 data_time: 0.0217 memory: 6108 grad_norm: 5.8003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6256 loss: 1.6256 2022/07/23 01:25:25 - mmengine - INFO - Epoch(train) [44][760/3757] lr: 1.0000e-03 eta: 13:52:32 time: 0.2263 data_time: 0.0202 memory: 6108 grad_norm: 6.0274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/07/23 01:25:30 - mmengine - INFO - Epoch(train) [44][780/3757] lr: 1.0000e-03 eta: 13:52:27 time: 0.2245 data_time: 0.0251 memory: 6108 grad_norm: 6.1567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4797 loss: 1.4797 2022/07/23 01:25:35 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 1.0000e-03 eta: 13:52:23 time: 0.2571 data_time: 0.0165 memory: 6108 grad_norm: 6.0577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3956 loss: 1.3956 2022/07/23 01:25:39 - mmengine - INFO - Epoch(train) [44][820/3757] lr: 1.0000e-03 eta: 13:52:18 time: 0.2243 data_time: 0.0258 memory: 6108 grad_norm: 5.9954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4957 loss: 1.4957 2022/07/23 01:25:44 - mmengine - INFO - Epoch(train) [44][840/3757] lr: 1.0000e-03 eta: 13:52:14 time: 0.2296 data_time: 0.0266 memory: 6108 grad_norm: 5.9467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4012 loss: 1.4012 2022/07/23 01:25:49 - mmengine - INFO - Epoch(train) [44][860/3757] lr: 1.0000e-03 eta: 13:52:09 time: 0.2281 data_time: 0.0218 memory: 6108 grad_norm: 5.7923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3965 loss: 1.3965 2022/07/23 01:25:53 - mmengine - INFO - Epoch(train) [44][880/3757] lr: 1.0000e-03 eta: 13:52:04 time: 0.2312 data_time: 0.0191 memory: 6108 grad_norm: 5.9175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4490 loss: 1.4490 2022/07/23 01:25:58 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 1.0000e-03 eta: 13:51:59 time: 0.2290 data_time: 0.0220 memory: 6108 grad_norm: 6.0208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6420 loss: 1.6420 2022/07/23 01:26:02 - mmengine - INFO - Epoch(train) [44][920/3757] lr: 1.0000e-03 eta: 13:51:54 time: 0.2251 data_time: 0.0225 memory: 6108 grad_norm: 6.0439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4498 loss: 1.4498 2022/07/23 01:26:07 - mmengine - INFO - Epoch(train) [44][940/3757] lr: 1.0000e-03 eta: 13:51:49 time: 0.2281 data_time: 0.0185 memory: 6108 grad_norm: 5.9928 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6569 loss: 1.6569 2022/07/23 01:26:12 - mmengine - INFO - Epoch(train) [44][960/3757] lr: 1.0000e-03 eta: 13:51:45 time: 0.2273 data_time: 0.0219 memory: 6108 grad_norm: 5.6404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2209 loss: 1.2209 2022/07/23 01:26:17 - mmengine - INFO - Epoch(train) [44][980/3757] lr: 1.0000e-03 eta: 13:51:40 time: 0.2488 data_time: 0.0168 memory: 6108 grad_norm: 5.9413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6954 loss: 1.6954 2022/07/23 01:26:21 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 1.0000e-03 eta: 13:51:36 time: 0.2322 data_time: 0.0202 memory: 6108 grad_norm: 6.0021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6246 loss: 1.6246 2022/07/23 01:26:26 - mmengine - INFO - Epoch(train) [44][1020/3757] lr: 1.0000e-03 eta: 13:51:31 time: 0.2328 data_time: 0.0278 memory: 6108 grad_norm: 5.9835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6184 loss: 1.6184 2022/07/23 01:26:31 - mmengine - INFO - Epoch(train) [44][1040/3757] lr: 1.0000e-03 eta: 13:51:26 time: 0.2296 data_time: 0.0187 memory: 6108 grad_norm: 5.9938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/07/23 01:26:35 - mmengine - INFO - Epoch(train) [44][1060/3757] lr: 1.0000e-03 eta: 13:51:21 time: 0.2372 data_time: 0.0230 memory: 6108 grad_norm: 5.6989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4969 loss: 1.4969 2022/07/23 01:26:40 - mmengine - INFO - Epoch(train) [44][1080/3757] lr: 1.0000e-03 eta: 13:51:17 time: 0.2257 data_time: 0.0245 memory: 6108 grad_norm: 6.1006 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3635 loss: 1.3635 2022/07/23 01:26:44 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 1.0000e-03 eta: 13:51:12 time: 0.2252 data_time: 0.0205 memory: 6108 grad_norm: 5.7285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8567 loss: 1.8567 2022/07/23 01:26:49 - mmengine - INFO - Epoch(train) [44][1120/3757] lr: 1.0000e-03 eta: 13:51:07 time: 0.2337 data_time: 0.0182 memory: 6108 grad_norm: 5.8625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4864 loss: 1.4864 2022/07/23 01:26:54 - mmengine - INFO - Epoch(train) [44][1140/3757] lr: 1.0000e-03 eta: 13:51:02 time: 0.2377 data_time: 0.0233 memory: 6108 grad_norm: 5.9513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/07/23 01:26:59 - mmengine - INFO - Epoch(train) [44][1160/3757] lr: 1.0000e-03 eta: 13:50:58 time: 0.2375 data_time: 0.0203 memory: 6108 grad_norm: 6.1388 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7036 loss: 1.7036 2022/07/23 01:27:03 - mmengine - INFO - Epoch(train) [44][1180/3757] lr: 1.0000e-03 eta: 13:50:53 time: 0.2411 data_time: 0.0237 memory: 6108 grad_norm: 6.0077 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/07/23 01:27:08 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 1.0000e-03 eta: 13:50:48 time: 0.2273 data_time: 0.0188 memory: 6108 grad_norm: 5.7320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/07/23 01:27:12 - mmengine - INFO - Epoch(train) [44][1220/3757] lr: 1.0000e-03 eta: 13:50:44 time: 0.2241 data_time: 0.0197 memory: 6108 grad_norm: 5.9291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5242 loss: 1.5242 2022/07/23 01:27:17 - mmengine - INFO - Epoch(train) [44][1240/3757] lr: 1.0000e-03 eta: 13:50:39 time: 0.2366 data_time: 0.0204 memory: 6108 grad_norm: 5.7848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4149 loss: 1.4149 2022/07/23 01:27:22 - mmengine - INFO - Epoch(train) [44][1260/3757] lr: 1.0000e-03 eta: 13:50:34 time: 0.2277 data_time: 0.0232 memory: 6108 grad_norm: 5.8944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5580 loss: 1.5580 2022/07/23 01:27:26 - mmengine - INFO - Epoch(train) [44][1280/3757] lr: 1.0000e-03 eta: 13:50:29 time: 0.2301 data_time: 0.0252 memory: 6108 grad_norm: 5.9209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7235 loss: 1.7235 2022/07/23 01:27:31 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 1.0000e-03 eta: 13:50:24 time: 0.2285 data_time: 0.0213 memory: 6108 grad_norm: 5.8460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7384 loss: 1.7384 2022/07/23 01:27:36 - mmengine - INFO - Epoch(train) [44][1320/3757] lr: 1.0000e-03 eta: 13:50:20 time: 0.2465 data_time: 0.0237 memory: 6108 grad_norm: 5.7985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/07/23 01:27:41 - mmengine - INFO - Epoch(train) [44][1340/3757] lr: 1.0000e-03 eta: 13:50:16 time: 0.2394 data_time: 0.0175 memory: 6108 grad_norm: 6.0860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4820 loss: 1.4820 2022/07/23 01:27:45 - mmengine - INFO - Epoch(train) [44][1360/3757] lr: 1.0000e-03 eta: 13:50:11 time: 0.2230 data_time: 0.0173 memory: 6108 grad_norm: 6.1005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5008 loss: 1.5008 2022/07/23 01:27:50 - mmengine - INFO - Epoch(train) [44][1380/3757] lr: 1.0000e-03 eta: 13:50:06 time: 0.2316 data_time: 0.0221 memory: 6108 grad_norm: 5.7780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4051 loss: 1.4051 2022/07/23 01:27:55 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 1.0000e-03 eta: 13:50:01 time: 0.2350 data_time: 0.0218 memory: 6108 grad_norm: 6.0874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5455 loss: 1.5455 2022/07/23 01:27:59 - mmengine - INFO - Epoch(train) [44][1420/3757] lr: 1.0000e-03 eta: 13:49:56 time: 0.2280 data_time: 0.0210 memory: 6108 grad_norm: 5.7622 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5138 loss: 1.5138 2022/07/23 01:28:04 - mmengine - INFO - Epoch(train) [44][1440/3757] lr: 1.0000e-03 eta: 13:49:52 time: 0.2344 data_time: 0.0327 memory: 6108 grad_norm: 6.0098 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3014 loss: 1.3014 2022/07/23 01:28:06 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:28:09 - mmengine - INFO - Epoch(train) [44][1460/3757] lr: 1.0000e-03 eta: 13:49:47 time: 0.2490 data_time: 0.0200 memory: 6108 grad_norm: 6.0833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4227 loss: 1.4227 2022/07/23 01:28:14 - mmengine - INFO - Epoch(train) [44][1480/3757] lr: 1.0000e-03 eta: 13:49:43 time: 0.2399 data_time: 0.0220 memory: 6108 grad_norm: 5.7649 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6201 loss: 1.6201 2022/07/23 01:28:18 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 1.0000e-03 eta: 13:49:38 time: 0.2234 data_time: 0.0231 memory: 6108 grad_norm: 5.8960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4920 loss: 1.4920 2022/07/23 01:28:23 - mmengine - INFO - Epoch(train) [44][1520/3757] lr: 1.0000e-03 eta: 13:49:33 time: 0.2233 data_time: 0.0222 memory: 6108 grad_norm: 5.9809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/07/23 01:28:27 - mmengine - INFO - Epoch(train) [44][1540/3757] lr: 1.0000e-03 eta: 13:49:28 time: 0.2341 data_time: 0.0341 memory: 6108 grad_norm: 6.1048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/07/23 01:28:32 - mmengine - INFO - Epoch(train) [44][1560/3757] lr: 1.0000e-03 eta: 13:49:23 time: 0.2280 data_time: 0.0210 memory: 6108 grad_norm: 5.9633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/07/23 01:28:37 - mmengine - INFO - Epoch(train) [44][1580/3757] lr: 1.0000e-03 eta: 13:49:19 time: 0.2444 data_time: 0.0296 memory: 6108 grad_norm: 5.9685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5208 loss: 1.5208 2022/07/23 01:28:42 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 1.0000e-03 eta: 13:49:14 time: 0.2418 data_time: 0.0381 memory: 6108 grad_norm: 5.9643 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5344 loss: 1.5344 2022/07/23 01:28:46 - mmengine - INFO - Epoch(train) [44][1620/3757] lr: 1.0000e-03 eta: 13:49:10 time: 0.2262 data_time: 0.0233 memory: 6108 grad_norm: 5.9382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/07/23 01:28:51 - mmengine - INFO - Epoch(train) [44][1640/3757] lr: 1.0000e-03 eta: 13:49:05 time: 0.2440 data_time: 0.0201 memory: 6108 grad_norm: 5.9382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/07/23 01:28:56 - mmengine - INFO - Epoch(train) [44][1660/3757] lr: 1.0000e-03 eta: 13:49:01 time: 0.2388 data_time: 0.0230 memory: 6108 grad_norm: 6.0361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/07/23 01:29:00 - mmengine - INFO - Epoch(train) [44][1680/3757] lr: 1.0000e-03 eta: 13:48:56 time: 0.2284 data_time: 0.0274 memory: 6108 grad_norm: 6.1131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5452 loss: 1.5452 2022/07/23 01:29:05 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 1.0000e-03 eta: 13:48:51 time: 0.2286 data_time: 0.0213 memory: 6108 grad_norm: 6.0427 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.4509 loss: 1.4509 2022/07/23 01:29:10 - mmengine - INFO - Epoch(train) [44][1720/3757] lr: 1.0000e-03 eta: 13:48:46 time: 0.2345 data_time: 0.0196 memory: 6108 grad_norm: 6.0857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6059 loss: 1.6059 2022/07/23 01:29:14 - mmengine - INFO - Epoch(train) [44][1740/3757] lr: 1.0000e-03 eta: 13:48:42 time: 0.2332 data_time: 0.0238 memory: 6108 grad_norm: 5.7968 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5077 loss: 1.5077 2022/07/23 01:29:19 - mmengine - INFO - Epoch(train) [44][1760/3757] lr: 1.0000e-03 eta: 13:48:37 time: 0.2366 data_time: 0.0212 memory: 6108 grad_norm: 5.7226 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.5315 loss: 1.5315 2022/07/23 01:29:24 - mmengine - INFO - Epoch(train) [44][1780/3757] lr: 1.0000e-03 eta: 13:48:33 time: 0.2429 data_time: 0.0201 memory: 6108 grad_norm: 6.1586 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4935 loss: 1.4935 2022/07/23 01:29:29 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 1.0000e-03 eta: 13:48:28 time: 0.2317 data_time: 0.0212 memory: 6108 grad_norm: 6.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6784 loss: 1.6784 2022/07/23 01:29:34 - mmengine - INFO - Epoch(train) [44][1820/3757] lr: 1.0000e-03 eta: 13:48:23 time: 0.2480 data_time: 0.0184 memory: 6108 grad_norm: 5.9434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/07/23 01:29:38 - mmengine - INFO - Epoch(train) [44][1840/3757] lr: 1.0000e-03 eta: 13:48:19 time: 0.2273 data_time: 0.0211 memory: 6108 grad_norm: 6.1698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4398 loss: 1.4398 2022/07/23 01:29:43 - mmengine - INFO - Epoch(train) [44][1860/3757] lr: 1.0000e-03 eta: 13:48:14 time: 0.2349 data_time: 0.0215 memory: 6108 grad_norm: 5.8808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4948 loss: 1.4948 2022/07/23 01:29:48 - mmengine - INFO - Epoch(train) [44][1880/3757] lr: 1.0000e-03 eta: 13:48:09 time: 0.2296 data_time: 0.0182 memory: 6108 grad_norm: 5.9977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4281 loss: 1.4281 2022/07/23 01:29:52 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 1.0000e-03 eta: 13:48:04 time: 0.2263 data_time: 0.0195 memory: 6108 grad_norm: 6.0094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6788 loss: 1.6788 2022/07/23 01:29:57 - mmengine - INFO - Epoch(train) [44][1920/3757] lr: 1.0000e-03 eta: 13:48:00 time: 0.2470 data_time: 0.0223 memory: 6108 grad_norm: 6.0532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/07/23 01:30:02 - mmengine - INFO - Epoch(train) [44][1940/3757] lr: 1.0000e-03 eta: 13:47:56 time: 0.2529 data_time: 0.0224 memory: 6108 grad_norm: 5.9473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4624 loss: 1.4624 2022/07/23 01:30:07 - mmengine - INFO - Epoch(train) [44][1960/3757] lr: 1.0000e-03 eta: 13:47:51 time: 0.2332 data_time: 0.0197 memory: 6108 grad_norm: 6.1862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8561 loss: 1.8561 2022/07/23 01:30:11 - mmengine - INFO - Epoch(train) [44][1980/3757] lr: 1.0000e-03 eta: 13:47:46 time: 0.2246 data_time: 0.0240 memory: 6108 grad_norm: 5.9572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5153 loss: 1.5153 2022/07/23 01:30:16 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 1.0000e-03 eta: 13:47:42 time: 0.2512 data_time: 0.0172 memory: 6108 grad_norm: 5.7526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4067 loss: 1.4067 2022/07/23 01:30:21 - mmengine - INFO - Epoch(train) [44][2020/3757] lr: 1.0000e-03 eta: 13:47:37 time: 0.2253 data_time: 0.0217 memory: 6108 grad_norm: 6.0363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4632 loss: 1.4632 2022/07/23 01:30:30 - mmengine - INFO - Epoch(train) [44][2040/3757] lr: 1.0000e-03 eta: 13:47:38 time: 0.4503 data_time: 0.0173 memory: 6108 grad_norm: 6.1851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5347 loss: 1.5347 2022/07/23 01:30:35 - mmengine - INFO - Epoch(train) [44][2060/3757] lr: 1.0000e-03 eta: 13:47:33 time: 0.2308 data_time: 0.0233 memory: 6108 grad_norm: 6.1067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6183 loss: 1.6183 2022/07/23 01:30:39 - mmengine - INFO - Epoch(train) [44][2080/3757] lr: 1.0000e-03 eta: 13:47:28 time: 0.2236 data_time: 0.0226 memory: 6108 grad_norm: 5.8184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4187 loss: 1.4187 2022/07/23 01:30:44 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 1.0000e-03 eta: 13:47:23 time: 0.2259 data_time: 0.0239 memory: 6108 grad_norm: 6.1119 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3840 loss: 1.3840 2022/07/23 01:30:49 - mmengine - INFO - Epoch(train) [44][2120/3757] lr: 1.0000e-03 eta: 13:47:19 time: 0.2488 data_time: 0.0210 memory: 6108 grad_norm: 6.0269 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7220 loss: 1.7220 2022/07/23 01:30:53 - mmengine - INFO - Epoch(train) [44][2140/3757] lr: 1.0000e-03 eta: 13:47:14 time: 0.2329 data_time: 0.0175 memory: 6108 grad_norm: 5.9940 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4377 loss: 1.4377 2022/07/23 01:30:58 - mmengine - INFO - Epoch(train) [44][2160/3757] lr: 1.0000e-03 eta: 13:47:09 time: 0.2258 data_time: 0.0183 memory: 6108 grad_norm: 6.2458 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7241 loss: 1.7241 2022/07/23 01:31:02 - mmengine - INFO - Epoch(train) [44][2180/3757] lr: 1.0000e-03 eta: 13:47:05 time: 0.2326 data_time: 0.0192 memory: 6108 grad_norm: 6.2383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7173 loss: 1.7173 2022/07/23 01:31:07 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 1.0000e-03 eta: 13:47:00 time: 0.2293 data_time: 0.0222 memory: 6108 grad_norm: 6.1617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/07/23 01:31:12 - mmengine - INFO - Epoch(train) [44][2220/3757] lr: 1.0000e-03 eta: 13:46:55 time: 0.2262 data_time: 0.0216 memory: 6108 grad_norm: 5.8030 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5122 loss: 1.5122 2022/07/23 01:31:16 - mmengine - INFO - Epoch(train) [44][2240/3757] lr: 1.0000e-03 eta: 13:46:50 time: 0.2306 data_time: 0.0217 memory: 6108 grad_norm: 5.9721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2446 loss: 1.2446 2022/07/23 01:31:21 - mmengine - INFO - Epoch(train) [44][2260/3757] lr: 1.0000e-03 eta: 13:46:45 time: 0.2255 data_time: 0.0210 memory: 6108 grad_norm: 6.0370 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3897 loss: 1.3897 2022/07/23 01:31:25 - mmengine - INFO - Epoch(train) [44][2280/3757] lr: 1.0000e-03 eta: 13:46:40 time: 0.2303 data_time: 0.0221 memory: 6108 grad_norm: 5.8858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4407 loss: 1.4407 2022/07/23 01:31:30 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 1.0000e-03 eta: 13:46:35 time: 0.2242 data_time: 0.0213 memory: 6108 grad_norm: 6.0363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/07/23 01:31:35 - mmengine - INFO - Epoch(train) [44][2320/3757] lr: 1.0000e-03 eta: 13:46:31 time: 0.2351 data_time: 0.0196 memory: 6108 grad_norm: 5.7659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5691 loss: 1.5691 2022/07/23 01:31:39 - mmengine - INFO - Epoch(train) [44][2340/3757] lr: 1.0000e-03 eta: 13:46:26 time: 0.2266 data_time: 0.0185 memory: 6108 grad_norm: 5.8233 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5439 loss: 1.5439 2022/07/23 01:31:44 - mmengine - INFO - Epoch(train) [44][2360/3757] lr: 1.0000e-03 eta: 13:46:22 time: 0.2494 data_time: 0.0238 memory: 6108 grad_norm: 5.9151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/07/23 01:31:49 - mmengine - INFO - Epoch(train) [44][2380/3757] lr: 1.0000e-03 eta: 13:46:17 time: 0.2351 data_time: 0.0172 memory: 6108 grad_norm: 6.0316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4387 loss: 1.4387 2022/07/23 01:31:54 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 1.0000e-03 eta: 13:46:12 time: 0.2347 data_time: 0.0190 memory: 6108 grad_norm: 5.9574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3704 loss: 1.3704 2022/07/23 01:31:58 - mmengine - INFO - Epoch(train) [44][2420/3757] lr: 1.0000e-03 eta: 13:46:07 time: 0.2273 data_time: 0.0244 memory: 6108 grad_norm: 6.0085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3272 loss: 1.3272 2022/07/23 01:32:03 - mmengine - INFO - Epoch(train) [44][2440/3757] lr: 1.0000e-03 eta: 13:46:03 time: 0.2240 data_time: 0.0194 memory: 6108 grad_norm: 5.7702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5974 loss: 1.5974 2022/07/23 01:32:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:32:07 - mmengine - INFO - Epoch(train) [44][2460/3757] lr: 1.0000e-03 eta: 13:45:58 time: 0.2285 data_time: 0.0231 memory: 6108 grad_norm: 5.9721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/07/23 01:32:12 - mmengine - INFO - Epoch(train) [44][2480/3757] lr: 1.0000e-03 eta: 13:45:53 time: 0.2308 data_time: 0.0223 memory: 6108 grad_norm: 5.8808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3205 loss: 1.3205 2022/07/23 01:32:17 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 1.0000e-03 eta: 13:45:49 time: 0.2649 data_time: 0.0178 memory: 6108 grad_norm: 5.7802 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3681 loss: 1.3681 2022/07/23 01:32:22 - mmengine - INFO - Epoch(train) [44][2520/3757] lr: 1.0000e-03 eta: 13:45:44 time: 0.2261 data_time: 0.0223 memory: 6108 grad_norm: 5.9525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5807 loss: 1.5807 2022/07/23 01:32:26 - mmengine - INFO - Epoch(train) [44][2540/3757] lr: 1.0000e-03 eta: 13:45:39 time: 0.2295 data_time: 0.0205 memory: 6108 grad_norm: 5.8199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5529 loss: 1.5529 2022/07/23 01:32:31 - mmengine - INFO - Epoch(train) [44][2560/3757] lr: 1.0000e-03 eta: 13:45:35 time: 0.2290 data_time: 0.0165 memory: 6108 grad_norm: 5.9993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/07/23 01:32:36 - mmengine - INFO - Epoch(train) [44][2580/3757] lr: 1.0000e-03 eta: 13:45:30 time: 0.2352 data_time: 0.0209 memory: 6108 grad_norm: 6.0221 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4757 loss: 1.4757 2022/07/23 01:32:40 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 1.0000e-03 eta: 13:45:25 time: 0.2274 data_time: 0.0290 memory: 6108 grad_norm: 5.9328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6825 loss: 1.6825 2022/07/23 01:32:45 - mmengine - INFO - Epoch(train) [44][2620/3757] lr: 1.0000e-03 eta: 13:45:20 time: 0.2302 data_time: 0.0180 memory: 6108 grad_norm: 6.0138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4230 loss: 1.4230 2022/07/23 01:32:49 - mmengine - INFO - Epoch(train) [44][2640/3757] lr: 1.0000e-03 eta: 13:45:15 time: 0.2248 data_time: 0.0238 memory: 6108 grad_norm: 5.8703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6796 loss: 1.6796 2022/07/23 01:32:54 - mmengine - INFO - Epoch(train) [44][2660/3757] lr: 1.0000e-03 eta: 13:45:11 time: 0.2408 data_time: 0.0271 memory: 6108 grad_norm: 5.9366 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/07/23 01:32:59 - mmengine - INFO - Epoch(train) [44][2680/3757] lr: 1.0000e-03 eta: 13:45:06 time: 0.2257 data_time: 0.0232 memory: 6108 grad_norm: 6.1407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7233 loss: 1.7233 2022/07/23 01:33:03 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 1.0000e-03 eta: 13:45:01 time: 0.2273 data_time: 0.0183 memory: 6108 grad_norm: 6.1383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/07/23 01:33:08 - mmengine - INFO - Epoch(train) [44][2720/3757] lr: 1.0000e-03 eta: 13:44:56 time: 0.2296 data_time: 0.0248 memory: 6108 grad_norm: 5.9067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6713 loss: 1.6713 2022/07/23 01:33:12 - mmengine - INFO - Epoch(train) [44][2740/3757] lr: 1.0000e-03 eta: 13:44:51 time: 0.2287 data_time: 0.0175 memory: 6108 grad_norm: 5.9049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4276 loss: 1.4276 2022/07/23 01:33:17 - mmengine - INFO - Epoch(train) [44][2760/3757] lr: 1.0000e-03 eta: 13:44:47 time: 0.2377 data_time: 0.0224 memory: 6108 grad_norm: 6.1523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6506 loss: 1.6506 2022/07/23 01:33:22 - mmengine - INFO - Epoch(train) [44][2780/3757] lr: 1.0000e-03 eta: 13:44:42 time: 0.2255 data_time: 0.0230 memory: 6108 grad_norm: 6.1805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8763 loss: 1.8763 2022/07/23 01:33:26 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 1.0000e-03 eta: 13:44:37 time: 0.2230 data_time: 0.0242 memory: 6108 grad_norm: 6.1691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/07/23 01:33:31 - mmengine - INFO - Epoch(train) [44][2820/3757] lr: 1.0000e-03 eta: 13:44:32 time: 0.2286 data_time: 0.0225 memory: 6108 grad_norm: 5.7697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/07/23 01:33:36 - mmengine - INFO - Epoch(train) [44][2840/3757] lr: 1.0000e-03 eta: 13:44:28 time: 0.2463 data_time: 0.0224 memory: 6108 grad_norm: 5.7757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/07/23 01:33:40 - mmengine - INFO - Epoch(train) [44][2860/3757] lr: 1.0000e-03 eta: 13:44:23 time: 0.2244 data_time: 0.0202 memory: 6108 grad_norm: 6.1132 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3967 loss: 1.3967 2022/07/23 01:33:45 - mmengine - INFO - Epoch(train) [44][2880/3757] lr: 1.0000e-03 eta: 13:44:18 time: 0.2249 data_time: 0.0218 memory: 6108 grad_norm: 5.9448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5579 loss: 1.5579 2022/07/23 01:33:49 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 1.0000e-03 eta: 13:44:13 time: 0.2227 data_time: 0.0208 memory: 6108 grad_norm: 5.9158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4405 loss: 1.4405 2022/07/23 01:33:55 - mmengine - INFO - Epoch(train) [44][2920/3757] lr: 1.0000e-03 eta: 13:44:09 time: 0.2721 data_time: 0.0518 memory: 6108 grad_norm: 6.1555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/07/23 01:33:59 - mmengine - INFO - Epoch(train) [44][2940/3757] lr: 1.0000e-03 eta: 13:44:04 time: 0.2230 data_time: 0.0153 memory: 6108 grad_norm: 5.7275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/07/23 01:34:04 - mmengine - INFO - Epoch(train) [44][2960/3757] lr: 1.0000e-03 eta: 13:44:00 time: 0.2523 data_time: 0.0187 memory: 6108 grad_norm: 6.0880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3816 loss: 1.3816 2022/07/23 01:34:09 - mmengine - INFO - Epoch(train) [44][2980/3757] lr: 1.0000e-03 eta: 13:43:55 time: 0.2202 data_time: 0.0224 memory: 6108 grad_norm: 6.0471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4694 loss: 1.4694 2022/07/23 01:34:13 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 1.0000e-03 eta: 13:43:50 time: 0.2298 data_time: 0.0214 memory: 6108 grad_norm: 5.9136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4311 loss: 1.4311 2022/07/23 01:34:18 - mmengine - INFO - Epoch(train) [44][3020/3757] lr: 1.0000e-03 eta: 13:43:46 time: 0.2502 data_time: 0.0264 memory: 6108 grad_norm: 6.2425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/07/23 01:34:23 - mmengine - INFO - Epoch(train) [44][3040/3757] lr: 1.0000e-03 eta: 13:43:41 time: 0.2336 data_time: 0.0229 memory: 6108 grad_norm: 6.1162 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1185 loss: 1.1185 2022/07/23 01:34:27 - mmengine - INFO - Epoch(train) [44][3060/3757] lr: 1.0000e-03 eta: 13:43:36 time: 0.2231 data_time: 0.0188 memory: 6108 grad_norm: 6.0640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2806 loss: 1.2806 2022/07/23 01:34:32 - mmengine - INFO - Epoch(train) [44][3080/3757] lr: 1.0000e-03 eta: 13:43:31 time: 0.2244 data_time: 0.0198 memory: 6108 grad_norm: 6.2927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7257 loss: 1.7257 2022/07/23 01:34:37 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 1.0000e-03 eta: 13:43:27 time: 0.2381 data_time: 0.0207 memory: 6108 grad_norm: 5.8591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3507 loss: 1.3507 2022/07/23 01:34:42 - mmengine - INFO - Epoch(train) [44][3120/3757] lr: 1.0000e-03 eta: 13:43:22 time: 0.2400 data_time: 0.0195 memory: 6108 grad_norm: 5.8448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6827 loss: 1.6827 2022/07/23 01:34:47 - mmengine - INFO - Epoch(train) [44][3140/3757] lr: 1.0000e-03 eta: 13:43:18 time: 0.2528 data_time: 0.0247 memory: 6108 grad_norm: 6.0252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6072 loss: 1.6072 2022/07/23 01:34:51 - mmengine - INFO - Epoch(train) [44][3160/3757] lr: 1.0000e-03 eta: 13:43:13 time: 0.2186 data_time: 0.0209 memory: 6108 grad_norm: 6.0210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5721 loss: 1.5721 2022/07/23 01:34:56 - mmengine - INFO - Epoch(train) [44][3180/3757] lr: 1.0000e-03 eta: 13:43:09 time: 0.2424 data_time: 0.0187 memory: 6108 grad_norm: 6.2553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7219 loss: 1.7219 2022/07/23 01:35:00 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 1.0000e-03 eta: 13:43:04 time: 0.2271 data_time: 0.0275 memory: 6108 grad_norm: 5.8912 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6496 loss: 1.6496 2022/07/23 01:35:05 - mmengine - INFO - Epoch(train) [44][3220/3757] lr: 1.0000e-03 eta: 13:42:59 time: 0.2401 data_time: 0.0183 memory: 6108 grad_norm: 6.0838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6002 loss: 1.6002 2022/07/23 01:35:10 - mmengine - INFO - Epoch(train) [44][3240/3757] lr: 1.0000e-03 eta: 13:42:54 time: 0.2263 data_time: 0.0215 memory: 6108 grad_norm: 6.3238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6022 loss: 1.6022 2022/07/23 01:35:14 - mmengine - INFO - Epoch(train) [44][3260/3757] lr: 1.0000e-03 eta: 13:42:49 time: 0.2296 data_time: 0.0227 memory: 6108 grad_norm: 6.0636 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3933 loss: 1.3933 2022/07/23 01:35:19 - mmengine - INFO - Epoch(train) [44][3280/3757] lr: 1.0000e-03 eta: 13:42:45 time: 0.2422 data_time: 0.0447 memory: 6108 grad_norm: 6.0010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/07/23 01:35:24 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 1.0000e-03 eta: 13:42:41 time: 0.2479 data_time: 0.0216 memory: 6108 grad_norm: 6.0027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4325 loss: 1.4325 2022/07/23 01:35:29 - mmengine - INFO - Epoch(train) [44][3320/3757] lr: 1.0000e-03 eta: 13:42:36 time: 0.2235 data_time: 0.0212 memory: 6108 grad_norm: 6.0903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6026 loss: 1.6026 2022/07/23 01:35:34 - mmengine - INFO - Epoch(train) [44][3340/3757] lr: 1.0000e-03 eta: 13:42:31 time: 0.2476 data_time: 0.0439 memory: 6108 grad_norm: 5.9526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6020 loss: 1.6020 2022/07/23 01:35:38 - mmengine - INFO - Epoch(train) [44][3360/3757] lr: 1.0000e-03 eta: 13:42:27 time: 0.2290 data_time: 0.0193 memory: 6108 grad_norm: 6.0580 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5376 loss: 1.5376 2022/07/23 01:35:43 - mmengine - INFO - Epoch(train) [44][3380/3757] lr: 1.0000e-03 eta: 13:42:22 time: 0.2245 data_time: 0.0243 memory: 6108 grad_norm: 5.9013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/07/23 01:35:48 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 1.0000e-03 eta: 13:42:17 time: 0.2468 data_time: 0.0176 memory: 6108 grad_norm: 6.0814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5237 loss: 1.5237 2022/07/23 01:35:52 - mmengine - INFO - Epoch(train) [44][3420/3757] lr: 1.0000e-03 eta: 13:42:12 time: 0.2266 data_time: 0.0232 memory: 6108 grad_norm: 5.9104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5981 loss: 1.5981 2022/07/23 01:35:57 - mmengine - INFO - Epoch(train) [44][3440/3757] lr: 1.0000e-03 eta: 13:42:07 time: 0.2234 data_time: 0.0203 memory: 6108 grad_norm: 6.1402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8379 loss: 1.8379 2022/07/23 01:35:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:36:01 - mmengine - INFO - Epoch(train) [44][3460/3757] lr: 1.0000e-03 eta: 13:42:03 time: 0.2259 data_time: 0.0191 memory: 6108 grad_norm: 6.1427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5084 loss: 1.5084 2022/07/23 01:36:06 - mmengine - INFO - Epoch(train) [44][3480/3757] lr: 1.0000e-03 eta: 13:41:58 time: 0.2336 data_time: 0.0217 memory: 6108 grad_norm: 5.9959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/07/23 01:36:18 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 1.0000e-03 eta: 13:42:02 time: 0.5955 data_time: 0.0219 memory: 6108 grad_norm: 5.9343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/07/23 01:36:22 - mmengine - INFO - Epoch(train) [44][3520/3757] lr: 1.0000e-03 eta: 13:41:57 time: 0.2171 data_time: 0.0207 memory: 6108 grad_norm: 5.9478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1944 loss: 1.1944 2022/07/23 01:36:27 - mmengine - INFO - Epoch(train) [44][3540/3757] lr: 1.0000e-03 eta: 13:41:53 time: 0.2309 data_time: 0.0215 memory: 6108 grad_norm: 6.1109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/07/23 01:36:32 - mmengine - INFO - Epoch(train) [44][3560/3757] lr: 1.0000e-03 eta: 13:41:48 time: 0.2254 data_time: 0.0235 memory: 6108 grad_norm: 6.0760 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5522 loss: 1.5522 2022/07/23 01:36:37 - mmengine - INFO - Epoch(train) [44][3580/3757] lr: 1.0000e-03 eta: 13:41:43 time: 0.2509 data_time: 0.0216 memory: 6108 grad_norm: 5.9333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8698 loss: 1.8698 2022/07/23 01:36:41 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 1.0000e-03 eta: 13:41:38 time: 0.2268 data_time: 0.0221 memory: 6108 grad_norm: 5.9531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7576 loss: 1.7576 2022/07/23 01:36:46 - mmengine - INFO - Epoch(train) [44][3620/3757] lr: 1.0000e-03 eta: 13:41:34 time: 0.2483 data_time: 0.0202 memory: 6108 grad_norm: 5.8997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3994 loss: 1.3994 2022/07/23 01:36:51 - mmengine - INFO - Epoch(train) [44][3640/3757] lr: 1.0000e-03 eta: 13:41:29 time: 0.2278 data_time: 0.0220 memory: 6108 grad_norm: 6.0291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/07/23 01:36:55 - mmengine - INFO - Epoch(train) [44][3660/3757] lr: 1.0000e-03 eta: 13:41:25 time: 0.2291 data_time: 0.0179 memory: 6108 grad_norm: 6.1440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4691 loss: 1.4691 2022/07/23 01:37:00 - mmengine - INFO - Epoch(train) [44][3680/3757] lr: 1.0000e-03 eta: 13:41:20 time: 0.2480 data_time: 0.0210 memory: 6108 grad_norm: 6.1092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4981 loss: 1.4981 2022/07/23 01:37:05 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 1.0000e-03 eta: 13:41:16 time: 0.2603 data_time: 0.0199 memory: 6108 grad_norm: 5.9509 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4848 loss: 1.4848 2022/07/23 01:37:10 - mmengine - INFO - Epoch(train) [44][3720/3757] lr: 1.0000e-03 eta: 13:41:11 time: 0.2216 data_time: 0.0158 memory: 6108 grad_norm: 5.8449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5137 loss: 1.5137 2022/07/23 01:37:15 - mmengine - INFO - Epoch(train) [44][3740/3757] lr: 1.0000e-03 eta: 13:41:07 time: 0.2353 data_time: 0.0226 memory: 6108 grad_norm: 6.0812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/07/23 01:37:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:37:18 - mmengine - INFO - Epoch(train) [44][3757/3757] lr: 1.0000e-03 eta: 13:41:07 time: 0.1971 data_time: 0.0216 memory: 6108 grad_norm: 6.3461 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7046 loss: 1.7046 2022/07/23 01:37:23 - mmengine - INFO - Epoch(val) [44][20/310] eta: 0:01:20 time: 0.2763 data_time: 0.1976 memory: 1428 2022/07/23 01:37:27 - mmengine - INFO - Epoch(val) [44][40/310] eta: 0:00:48 time: 0.1781 data_time: 0.0925 memory: 1428 2022/07/23 01:37:32 - mmengine - INFO - Epoch(val) [44][60/310] eta: 0:00:58 time: 0.2334 data_time: 0.1565 memory: 1428 2022/07/23 01:37:36 - mmengine - INFO - Epoch(val) [44][80/310] eta: 0:00:47 time: 0.2070 data_time: 0.1262 memory: 1428 2022/07/23 01:37:40 - mmengine - INFO - Epoch(val) [44][100/310] eta: 0:00:46 time: 0.2226 data_time: 0.1436 memory: 1428 2022/07/23 01:37:44 - mmengine - INFO - Epoch(val) [44][120/310] eta: 0:00:37 time: 0.1998 data_time: 0.1106 memory: 1428 2022/07/23 01:37:49 - mmengine - INFO - Epoch(val) [44][140/310] eta: 0:00:41 time: 0.2457 data_time: 0.1689 memory: 1428 2022/07/23 01:37:53 - mmengine - INFO - Epoch(val) [44][160/310] eta: 0:00:29 time: 0.1973 data_time: 0.1183 memory: 1428 2022/07/23 01:37:58 - mmengine - INFO - Epoch(val) [44][180/310] eta: 0:00:30 time: 0.2353 data_time: 0.1590 memory: 1428 2022/07/23 01:38:02 - mmengine - INFO - Epoch(val) [44][200/310] eta: 0:00:20 time: 0.1869 data_time: 0.1114 memory: 1428 2022/07/23 01:38:07 - mmengine - INFO - Epoch(val) [44][220/310] eta: 0:00:22 time: 0.2543 data_time: 0.1785 memory: 1428 2022/07/23 01:38:10 - mmengine - INFO - Epoch(val) [44][240/310] eta: 0:00:12 time: 0.1831 data_time: 0.1107 memory: 1428 2022/07/23 01:38:15 - mmengine - INFO - Epoch(val) [44][260/310] eta: 0:00:12 time: 0.2502 data_time: 0.1753 memory: 1428 2022/07/23 01:38:19 - mmengine - INFO - Epoch(val) [44][280/310] eta: 0:00:05 time: 0.1836 data_time: 0.1090 memory: 1428 2022/07/23 01:38:24 - mmengine - INFO - Epoch(val) [44][300/310] eta: 0:00:02 time: 0.2219 data_time: 0.1463 memory: 1428 2022/07/23 01:38:26 - mmengine - INFO - Epoch(val) [44][310/310] acc/top1: 0.6339 acc/top5: 0.8496 acc/mean1: 0.6338 2022/07/23 01:38:33 - mmengine - INFO - Epoch(train) [45][20/3757] lr: 1.0000e-03 eta: 13:40:55 time: 0.3135 data_time: 0.0878 memory: 6108 grad_norm: 5.7190 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6592 loss: 1.6592 2022/07/23 01:38:37 - mmengine - INFO - Epoch(train) [45][40/3757] lr: 1.0000e-03 eta: 13:40:50 time: 0.2353 data_time: 0.0177 memory: 6108 grad_norm: 6.1384 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5234 loss: 1.5234 2022/07/23 01:38:42 - mmengine - INFO - Epoch(train) [45][60/3757] lr: 1.0000e-03 eta: 13:40:46 time: 0.2473 data_time: 0.0240 memory: 6108 grad_norm: 6.0093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6977 loss: 1.6977 2022/07/23 01:38:51 - mmengine - INFO - Epoch(train) [45][80/3757] lr: 1.0000e-03 eta: 13:40:46 time: 0.4323 data_time: 0.2101 memory: 6108 grad_norm: 6.0709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6019 loss: 1.6019 2022/07/23 01:38:56 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 1.0000e-03 eta: 13:40:41 time: 0.2236 data_time: 0.0230 memory: 6108 grad_norm: 5.7152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1967 loss: 1.1967 2022/07/23 01:39:00 - mmengine - INFO - Epoch(train) [45][120/3757] lr: 1.0000e-03 eta: 13:40:36 time: 0.2252 data_time: 0.0208 memory: 6108 grad_norm: 5.7297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4110 loss: 1.4110 2022/07/23 01:39:05 - mmengine - INFO - Epoch(train) [45][140/3757] lr: 1.0000e-03 eta: 13:40:32 time: 0.2404 data_time: 0.0181 memory: 6108 grad_norm: 6.0152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7174 loss: 1.7174 2022/07/23 01:39:09 - mmengine - INFO - Epoch(train) [45][160/3757] lr: 1.0000e-03 eta: 13:40:27 time: 0.2268 data_time: 0.0216 memory: 6108 grad_norm: 6.0678 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6040 loss: 1.6040 2022/07/23 01:39:14 - mmengine - INFO - Epoch(train) [45][180/3757] lr: 1.0000e-03 eta: 13:40:22 time: 0.2398 data_time: 0.0178 memory: 6108 grad_norm: 5.9368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4378 loss: 1.4378 2022/07/23 01:39:19 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 1.0000e-03 eta: 13:40:17 time: 0.2231 data_time: 0.0193 memory: 6108 grad_norm: 6.0672 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/07/23 01:39:24 - mmengine - INFO - Epoch(train) [45][220/3757] lr: 1.0000e-03 eta: 13:40:13 time: 0.2460 data_time: 0.0216 memory: 6108 grad_norm: 5.9267 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3218 loss: 1.3218 2022/07/23 01:39:29 - mmengine - INFO - Epoch(train) [45][240/3757] lr: 1.0000e-03 eta: 13:40:09 time: 0.2416 data_time: 0.0204 memory: 6108 grad_norm: 5.9294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5120 loss: 1.5120 2022/07/23 01:39:33 - mmengine - INFO - Epoch(train) [45][260/3757] lr: 1.0000e-03 eta: 13:40:04 time: 0.2310 data_time: 0.0235 memory: 6108 grad_norm: 6.0639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3873 loss: 1.3873 2022/07/23 01:39:38 - mmengine - INFO - Epoch(train) [45][280/3757] lr: 1.0000e-03 eta: 13:39:59 time: 0.2422 data_time: 0.0391 memory: 6108 grad_norm: 6.0498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3510 loss: 1.3510 2022/07/23 01:39:43 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 1.0000e-03 eta: 13:39:55 time: 0.2328 data_time: 0.0273 memory: 6108 grad_norm: 6.1139 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3828 loss: 1.3828 2022/07/23 01:39:47 - mmengine - INFO - Epoch(train) [45][320/3757] lr: 1.0000e-03 eta: 13:39:50 time: 0.2371 data_time: 0.0201 memory: 6108 grad_norm: 6.0205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5969 loss: 1.5969 2022/07/23 01:39:52 - mmengine - INFO - Epoch(train) [45][340/3757] lr: 1.0000e-03 eta: 13:39:45 time: 0.2289 data_time: 0.0212 memory: 6108 grad_norm: 5.9366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2321 loss: 1.2321 2022/07/23 01:39:57 - mmengine - INFO - Epoch(train) [45][360/3757] lr: 1.0000e-03 eta: 13:39:41 time: 0.2376 data_time: 0.0328 memory: 6108 grad_norm: 5.8879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5122 loss: 1.5122 2022/07/23 01:40:01 - mmengine - INFO - Epoch(train) [45][380/3757] lr: 1.0000e-03 eta: 13:39:36 time: 0.2302 data_time: 0.0206 memory: 6108 grad_norm: 6.1490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5654 loss: 1.5654 2022/07/23 01:40:06 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 1.0000e-03 eta: 13:39:31 time: 0.2432 data_time: 0.0242 memory: 6108 grad_norm: 6.0212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5404 loss: 1.5404 2022/07/23 01:40:11 - mmengine - INFO - Epoch(train) [45][420/3757] lr: 1.0000e-03 eta: 13:39:26 time: 0.2226 data_time: 0.0178 memory: 6108 grad_norm: 5.9451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/07/23 01:40:15 - mmengine - INFO - Epoch(train) [45][440/3757] lr: 1.0000e-03 eta: 13:39:21 time: 0.2281 data_time: 0.0230 memory: 6108 grad_norm: 6.1134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/07/23 01:40:21 - mmengine - INFO - Epoch(train) [45][460/3757] lr: 1.0000e-03 eta: 13:39:18 time: 0.2658 data_time: 0.0335 memory: 6108 grad_norm: 6.0439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5707 loss: 1.5707 2022/07/23 01:40:26 - mmengine - INFO - Epoch(train) [45][480/3757] lr: 1.0000e-03 eta: 13:39:14 time: 0.2612 data_time: 0.0199 memory: 6108 grad_norm: 5.9679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4331 loss: 1.4331 2022/07/23 01:40:31 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 1.0000e-03 eta: 13:39:09 time: 0.2292 data_time: 0.0274 memory: 6108 grad_norm: 6.0858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6154 loss: 1.6154 2022/07/23 01:40:35 - mmengine - INFO - Epoch(train) [45][520/3757] lr: 1.0000e-03 eta: 13:39:04 time: 0.2276 data_time: 0.0212 memory: 6108 grad_norm: 6.0954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7157 loss: 1.7157 2022/07/23 01:40:40 - mmengine - INFO - Epoch(train) [45][540/3757] lr: 1.0000e-03 eta: 13:38:59 time: 0.2408 data_time: 0.0174 memory: 6108 grad_norm: 5.9464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3537 loss: 1.3537 2022/07/23 01:40:45 - mmengine - INFO - Epoch(train) [45][560/3757] lr: 1.0000e-03 eta: 13:38:55 time: 0.2525 data_time: 0.0214 memory: 6108 grad_norm: 5.7666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5151 loss: 1.5151 2022/07/23 01:40:49 - mmengine - INFO - Epoch(train) [45][580/3757] lr: 1.0000e-03 eta: 13:38:50 time: 0.2221 data_time: 0.0218 memory: 6108 grad_norm: 6.1173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5774 loss: 1.5774 2022/07/23 01:40:54 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 1.0000e-03 eta: 13:38:45 time: 0.2269 data_time: 0.0214 memory: 6108 grad_norm: 6.2895 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/07/23 01:40:59 - mmengine - INFO - Epoch(train) [45][620/3757] lr: 1.0000e-03 eta: 13:38:40 time: 0.2259 data_time: 0.0263 memory: 6108 grad_norm: 6.0945 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5219 loss: 1.5219 2022/07/23 01:41:03 - mmengine - INFO - Epoch(train) [45][640/3757] lr: 1.0000e-03 eta: 13:38:36 time: 0.2231 data_time: 0.0188 memory: 6108 grad_norm: 6.1697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7791 loss: 1.7791 2022/07/23 01:41:08 - mmengine - INFO - Epoch(train) [45][660/3757] lr: 1.0000e-03 eta: 13:38:31 time: 0.2479 data_time: 0.0250 memory: 6108 grad_norm: 6.0801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6206 loss: 1.6206 2022/07/23 01:41:13 - mmengine - INFO - Epoch(train) [45][680/3757] lr: 1.0000e-03 eta: 13:38:26 time: 0.2326 data_time: 0.0223 memory: 6108 grad_norm: 5.9042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6575 loss: 1.6575 2022/07/23 01:41:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:41:18 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 1.0000e-03 eta: 13:38:22 time: 0.2440 data_time: 0.0245 memory: 6108 grad_norm: 6.0204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4071 loss: 1.4071 2022/07/23 01:41:22 - mmengine - INFO - Epoch(train) [45][720/3757] lr: 1.0000e-03 eta: 13:38:17 time: 0.2298 data_time: 0.0178 memory: 6108 grad_norm: 6.0615 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6464 loss: 1.6464 2022/07/23 01:41:27 - mmengine - INFO - Epoch(train) [45][740/3757] lr: 1.0000e-03 eta: 13:38:13 time: 0.2431 data_time: 0.0241 memory: 6108 grad_norm: 5.9966 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5094 loss: 1.5094 2022/07/23 01:41:32 - mmengine - INFO - Epoch(train) [45][760/3757] lr: 1.0000e-03 eta: 13:38:09 time: 0.2610 data_time: 0.0236 memory: 6108 grad_norm: 6.0050 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2816 loss: 1.2816 2022/07/23 01:41:37 - mmengine - INFO - Epoch(train) [45][780/3757] lr: 1.0000e-03 eta: 13:38:04 time: 0.2273 data_time: 0.0239 memory: 6108 grad_norm: 5.9836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6835 loss: 1.6835 2022/07/23 01:41:41 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 1.0000e-03 eta: 13:37:59 time: 0.2313 data_time: 0.0223 memory: 6108 grad_norm: 5.9229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5418 loss: 1.5418 2022/07/23 01:41:46 - mmengine - INFO - Epoch(train) [45][820/3757] lr: 1.0000e-03 eta: 13:37:55 time: 0.2416 data_time: 0.0286 memory: 6108 grad_norm: 6.0003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3879 loss: 1.3879 2022/07/23 01:41:51 - mmengine - INFO - Epoch(train) [45][840/3757] lr: 1.0000e-03 eta: 13:37:50 time: 0.2434 data_time: 0.0259 memory: 6108 grad_norm: 6.0797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6855 loss: 1.6855 2022/07/23 01:41:56 - mmengine - INFO - Epoch(train) [45][860/3757] lr: 1.0000e-03 eta: 13:37:46 time: 0.2361 data_time: 0.0215 memory: 6108 grad_norm: 5.9927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/07/23 01:42:01 - mmengine - INFO - Epoch(train) [45][880/3757] lr: 1.0000e-03 eta: 13:37:41 time: 0.2273 data_time: 0.0181 memory: 6108 grad_norm: 6.2845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5353 loss: 1.5353 2022/07/23 01:42:05 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 1.0000e-03 eta: 13:37:36 time: 0.2317 data_time: 0.0239 memory: 6108 grad_norm: 6.0040 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4744 loss: 1.4744 2022/07/23 01:42:10 - mmengine - INFO - Epoch(train) [45][920/3757] lr: 1.0000e-03 eta: 13:37:31 time: 0.2254 data_time: 0.0251 memory: 6108 grad_norm: 6.0218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5851 loss: 1.5851 2022/07/23 01:42:14 - mmengine - INFO - Epoch(train) [45][940/3757] lr: 1.0000e-03 eta: 13:37:26 time: 0.2374 data_time: 0.0255 memory: 6108 grad_norm: 5.9702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7339 loss: 1.7339 2022/07/23 01:42:19 - mmengine - INFO - Epoch(train) [45][960/3757] lr: 1.0000e-03 eta: 13:37:22 time: 0.2263 data_time: 0.0222 memory: 6108 grad_norm: 5.9870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/07/23 01:42:23 - mmengine - INFO - Epoch(train) [45][980/3757] lr: 1.0000e-03 eta: 13:37:17 time: 0.2206 data_time: 0.0220 memory: 6108 grad_norm: 6.0779 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6255 loss: 1.6255 2022/07/23 01:42:28 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 1.0000e-03 eta: 13:37:12 time: 0.2369 data_time: 0.0202 memory: 6108 grad_norm: 5.8925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4096 loss: 1.4096 2022/07/23 01:42:33 - mmengine - INFO - Epoch(train) [45][1020/3757] lr: 1.0000e-03 eta: 13:37:07 time: 0.2383 data_time: 0.0230 memory: 6108 grad_norm: 6.0396 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/07/23 01:42:38 - mmengine - INFO - Epoch(train) [45][1040/3757] lr: 1.0000e-03 eta: 13:37:03 time: 0.2305 data_time: 0.0266 memory: 6108 grad_norm: 6.2579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/07/23 01:42:42 - mmengine - INFO - Epoch(train) [45][1060/3757] lr: 1.0000e-03 eta: 13:36:58 time: 0.2278 data_time: 0.0214 memory: 6108 grad_norm: 5.9406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/07/23 01:42:47 - mmengine - INFO - Epoch(train) [45][1080/3757] lr: 1.0000e-03 eta: 13:36:54 time: 0.2557 data_time: 0.0246 memory: 6108 grad_norm: 6.1563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4783 loss: 1.4783 2022/07/23 01:42:52 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 1.0000e-03 eta: 13:36:49 time: 0.2250 data_time: 0.0192 memory: 6108 grad_norm: 6.2283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6633 loss: 1.6633 2022/07/23 01:42:56 - mmengine - INFO - Epoch(train) [45][1120/3757] lr: 1.0000e-03 eta: 13:36:44 time: 0.2218 data_time: 0.0237 memory: 6108 grad_norm: 6.1164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3473 loss: 1.3473 2022/07/23 01:43:01 - mmengine - INFO - Epoch(train) [45][1140/3757] lr: 1.0000e-03 eta: 13:36:39 time: 0.2386 data_time: 0.0236 memory: 6108 grad_norm: 5.9763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1315 loss: 1.1315 2022/07/23 01:43:06 - mmengine - INFO - Epoch(train) [45][1160/3757] lr: 1.0000e-03 eta: 13:36:35 time: 0.2469 data_time: 0.0176 memory: 6108 grad_norm: 6.1268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3988 loss: 1.3988 2022/07/23 01:43:11 - mmengine - INFO - Epoch(train) [45][1180/3757] lr: 1.0000e-03 eta: 13:36:30 time: 0.2244 data_time: 0.0192 memory: 6108 grad_norm: 6.0239 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4032 loss: 1.4032 2022/07/23 01:43:15 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 1.0000e-03 eta: 13:36:25 time: 0.2260 data_time: 0.0213 memory: 6108 grad_norm: 5.8887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4219 loss: 1.4219 2022/07/23 01:43:20 - mmengine - INFO - Epoch(train) [45][1220/3757] lr: 1.0000e-03 eta: 13:36:20 time: 0.2350 data_time: 0.0218 memory: 6108 grad_norm: 6.1851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5495 loss: 1.5495 2022/07/23 01:43:25 - mmengine - INFO - Epoch(train) [45][1240/3757] lr: 1.0000e-03 eta: 13:36:16 time: 0.2642 data_time: 0.0220 memory: 6108 grad_norm: 5.9245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4829 loss: 1.4829 2022/07/23 01:43:30 - mmengine - INFO - Epoch(train) [45][1260/3757] lr: 1.0000e-03 eta: 13:36:11 time: 0.2238 data_time: 0.0206 memory: 6108 grad_norm: 6.1910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/07/23 01:43:34 - mmengine - INFO - Epoch(train) [45][1280/3757] lr: 1.0000e-03 eta: 13:36:07 time: 0.2317 data_time: 0.0200 memory: 6108 grad_norm: 6.2200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/07/23 01:43:39 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 1.0000e-03 eta: 13:36:02 time: 0.2266 data_time: 0.0223 memory: 6108 grad_norm: 6.1530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/07/23 01:43:43 - mmengine - INFO - Epoch(train) [45][1320/3757] lr: 1.0000e-03 eta: 13:35:57 time: 0.2260 data_time: 0.0210 memory: 6108 grad_norm: 5.9306 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1674 loss: 1.1674 2022/07/23 01:43:48 - mmengine - INFO - Epoch(train) [45][1340/3757] lr: 1.0000e-03 eta: 13:35:53 time: 0.2469 data_time: 0.0272 memory: 6108 grad_norm: 6.0123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5971 loss: 1.5971 2022/07/23 01:43:53 - mmengine - INFO - Epoch(train) [45][1360/3757] lr: 1.0000e-03 eta: 13:35:48 time: 0.2296 data_time: 0.0277 memory: 6108 grad_norm: 5.7843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5342 loss: 1.5342 2022/07/23 01:43:57 - mmengine - INFO - Epoch(train) [45][1380/3757] lr: 1.0000e-03 eta: 13:35:43 time: 0.2245 data_time: 0.0234 memory: 6108 grad_norm: 6.1274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4094 loss: 1.4094 2022/07/23 01:44:02 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 1.0000e-03 eta: 13:35:39 time: 0.2548 data_time: 0.0218 memory: 6108 grad_norm: 6.1719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7538 loss: 1.7538 2022/07/23 01:44:07 - mmengine - INFO - Epoch(train) [45][1420/3757] lr: 1.0000e-03 eta: 13:35:34 time: 0.2368 data_time: 0.0190 memory: 6108 grad_norm: 5.8706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6171 loss: 1.6171 2022/07/23 01:44:12 - mmengine - INFO - Epoch(train) [45][1440/3757] lr: 1.0000e-03 eta: 13:35:29 time: 0.2244 data_time: 0.0212 memory: 6108 grad_norm: 6.0257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4777 loss: 1.4777 2022/07/23 01:44:16 - mmengine - INFO - Epoch(train) [45][1460/3757] lr: 1.0000e-03 eta: 13:35:24 time: 0.2285 data_time: 0.0211 memory: 6108 grad_norm: 6.0196 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6015 loss: 1.6015 2022/07/23 01:44:21 - mmengine - INFO - Epoch(train) [45][1480/3757] lr: 1.0000e-03 eta: 13:35:20 time: 0.2437 data_time: 0.0188 memory: 6108 grad_norm: 6.1030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3280 loss: 1.3280 2022/07/23 01:44:26 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 1.0000e-03 eta: 13:35:15 time: 0.2469 data_time: 0.0260 memory: 6108 grad_norm: 6.0569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6069 loss: 1.6069 2022/07/23 01:44:31 - mmengine - INFO - Epoch(train) [45][1520/3757] lr: 1.0000e-03 eta: 13:35:11 time: 0.2298 data_time: 0.0255 memory: 6108 grad_norm: 5.8811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7597 loss: 1.7597 2022/07/23 01:44:36 - mmengine - INFO - Epoch(train) [45][1540/3757] lr: 1.0000e-03 eta: 13:35:06 time: 0.2370 data_time: 0.0202 memory: 6108 grad_norm: 6.0146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/07/23 01:44:40 - mmengine - INFO - Epoch(train) [45][1560/3757] lr: 1.0000e-03 eta: 13:35:02 time: 0.2457 data_time: 0.0192 memory: 6108 grad_norm: 5.9948 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3742 loss: 1.3742 2022/07/23 01:44:45 - mmengine - INFO - Epoch(train) [45][1580/3757] lr: 1.0000e-03 eta: 13:34:57 time: 0.2420 data_time: 0.0188 memory: 6108 grad_norm: 6.1438 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8245 loss: 1.8245 2022/07/23 01:44:50 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 1.0000e-03 eta: 13:34:53 time: 0.2402 data_time: 0.0251 memory: 6108 grad_norm: 6.0976 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2849 loss: 1.2849 2022/07/23 01:44:55 - mmengine - INFO - Epoch(train) [45][1620/3757] lr: 1.0000e-03 eta: 13:34:48 time: 0.2250 data_time: 0.0304 memory: 6108 grad_norm: 6.2697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7339 loss: 1.7339 2022/07/23 01:44:59 - mmengine - INFO - Epoch(train) [45][1640/3757] lr: 1.0000e-03 eta: 13:34:43 time: 0.2193 data_time: 0.0194 memory: 6108 grad_norm: 6.0129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4954 loss: 1.4954 2022/07/23 01:45:04 - mmengine - INFO - Epoch(train) [45][1660/3757] lr: 1.0000e-03 eta: 13:34:38 time: 0.2478 data_time: 0.0210 memory: 6108 grad_norm: 5.9184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5612 loss: 1.5612 2022/07/23 01:45:09 - mmengine - INFO - Epoch(train) [45][1680/3757] lr: 1.0000e-03 eta: 13:34:34 time: 0.2502 data_time: 0.0258 memory: 6108 grad_norm: 6.3587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/07/23 01:45:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:45:14 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 1.0000e-03 eta: 13:34:29 time: 0.2283 data_time: 0.0189 memory: 6108 grad_norm: 6.2424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/07/23 01:45:18 - mmengine - INFO - Epoch(train) [45][1720/3757] lr: 1.0000e-03 eta: 13:34:24 time: 0.2292 data_time: 0.0213 memory: 6108 grad_norm: 6.1942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/07/23 01:45:23 - mmengine - INFO - Epoch(train) [45][1740/3757] lr: 1.0000e-03 eta: 13:34:19 time: 0.2223 data_time: 0.0239 memory: 6108 grad_norm: 6.1623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6083 loss: 1.6083 2022/07/23 01:45:27 - mmengine - INFO - Epoch(train) [45][1760/3757] lr: 1.0000e-03 eta: 13:34:15 time: 0.2339 data_time: 0.0222 memory: 6108 grad_norm: 6.1178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/07/23 01:45:33 - mmengine - INFO - Epoch(train) [45][1780/3757] lr: 1.0000e-03 eta: 13:34:11 time: 0.2585 data_time: 0.0268 memory: 6108 grad_norm: 5.9761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/07/23 01:45:37 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 1.0000e-03 eta: 13:34:06 time: 0.2274 data_time: 0.0224 memory: 6108 grad_norm: 6.0268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5325 loss: 1.5325 2022/07/23 01:45:42 - mmengine - INFO - Epoch(train) [45][1820/3757] lr: 1.0000e-03 eta: 13:34:01 time: 0.2301 data_time: 0.0255 memory: 6108 grad_norm: 5.9814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4246 loss: 1.4246 2022/07/23 01:45:46 - mmengine - INFO - Epoch(train) [45][1840/3757] lr: 1.0000e-03 eta: 13:33:56 time: 0.2361 data_time: 0.0239 memory: 6108 grad_norm: 6.0895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4305 loss: 1.4305 2022/07/23 01:45:51 - mmengine - INFO - Epoch(train) [45][1860/3757] lr: 1.0000e-03 eta: 13:33:52 time: 0.2317 data_time: 0.0211 memory: 6108 grad_norm: 6.1937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/07/23 01:45:56 - mmengine - INFO - Epoch(train) [45][1880/3757] lr: 1.0000e-03 eta: 13:33:47 time: 0.2287 data_time: 0.0224 memory: 6108 grad_norm: 6.1512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3928 loss: 1.3928 2022/07/23 01:46:00 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 1.0000e-03 eta: 13:33:42 time: 0.2265 data_time: 0.0215 memory: 6108 grad_norm: 6.1661 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4220 loss: 1.4220 2022/07/23 01:46:05 - mmengine - INFO - Epoch(train) [45][1920/3757] lr: 1.0000e-03 eta: 13:33:38 time: 0.2503 data_time: 0.0222 memory: 6108 grad_norm: 5.9599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3876 loss: 1.3876 2022/07/23 01:46:10 - mmengine - INFO - Epoch(train) [45][1940/3757] lr: 1.0000e-03 eta: 13:33:33 time: 0.2249 data_time: 0.0181 memory: 6108 grad_norm: 6.0812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4575 loss: 1.4575 2022/07/23 01:46:14 - mmengine - INFO - Epoch(train) [45][1960/3757] lr: 1.0000e-03 eta: 13:33:28 time: 0.2314 data_time: 0.0161 memory: 6108 grad_norm: 6.0849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6264 loss: 1.6264 2022/07/23 01:46:19 - mmengine - INFO - Epoch(train) [45][1980/3757] lr: 1.0000e-03 eta: 13:33:23 time: 0.2326 data_time: 0.0314 memory: 6108 grad_norm: 5.9733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7695 loss: 1.7695 2022/07/23 01:46:24 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 1.0000e-03 eta: 13:33:18 time: 0.2279 data_time: 0.0219 memory: 6108 grad_norm: 6.1324 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5703 loss: 1.5703 2022/07/23 01:46:28 - mmengine - INFO - Epoch(train) [45][2020/3757] lr: 1.0000e-03 eta: 13:33:14 time: 0.2334 data_time: 0.0265 memory: 6108 grad_norm: 5.9819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3658 loss: 1.3658 2022/07/23 01:46:33 - mmengine - INFO - Epoch(train) [45][2040/3757] lr: 1.0000e-03 eta: 13:33:09 time: 0.2309 data_time: 0.0253 memory: 6108 grad_norm: 6.0750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3335 loss: 1.3335 2022/07/23 01:46:38 - mmengine - INFO - Epoch(train) [45][2060/3757] lr: 1.0000e-03 eta: 13:33:04 time: 0.2306 data_time: 0.0218 memory: 6108 grad_norm: 6.3181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/07/23 01:46:42 - mmengine - INFO - Epoch(train) [45][2080/3757] lr: 1.0000e-03 eta: 13:32:59 time: 0.2311 data_time: 0.0195 memory: 6108 grad_norm: 6.1833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/07/23 01:46:47 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 1.0000e-03 eta: 13:32:55 time: 0.2483 data_time: 0.0253 memory: 6108 grad_norm: 5.9472 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5517 loss: 1.5517 2022/07/23 01:46:52 - mmengine - INFO - Epoch(train) [45][2120/3757] lr: 1.0000e-03 eta: 13:32:50 time: 0.2308 data_time: 0.0184 memory: 6108 grad_norm: 6.0586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4730 loss: 1.4730 2022/07/23 01:46:56 - mmengine - INFO - Epoch(train) [45][2140/3757] lr: 1.0000e-03 eta: 13:32:45 time: 0.2262 data_time: 0.0189 memory: 6108 grad_norm: 6.0255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4273 loss: 1.4273 2022/07/23 01:47:01 - mmengine - INFO - Epoch(train) [45][2160/3757] lr: 1.0000e-03 eta: 13:32:41 time: 0.2326 data_time: 0.0241 memory: 6108 grad_norm: 6.1214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/07/23 01:47:06 - mmengine - INFO - Epoch(train) [45][2180/3757] lr: 1.0000e-03 eta: 13:32:36 time: 0.2419 data_time: 0.0293 memory: 6108 grad_norm: 5.9035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4087 loss: 1.4087 2022/07/23 01:47:10 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 1.0000e-03 eta: 13:32:31 time: 0.2244 data_time: 0.0187 memory: 6108 grad_norm: 6.0127 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4215 loss: 1.4215 2022/07/23 01:47:15 - mmengine - INFO - Epoch(train) [45][2220/3757] lr: 1.0000e-03 eta: 13:32:27 time: 0.2296 data_time: 0.0214 memory: 6108 grad_norm: 5.8530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4941 loss: 1.4941 2022/07/23 01:47:20 - mmengine - INFO - Epoch(train) [45][2240/3757] lr: 1.0000e-03 eta: 13:32:22 time: 0.2324 data_time: 0.0204 memory: 6108 grad_norm: 6.0165 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4139 loss: 1.4139 2022/07/23 01:47:24 - mmengine - INFO - Epoch(train) [45][2260/3757] lr: 1.0000e-03 eta: 13:32:17 time: 0.2276 data_time: 0.0205 memory: 6108 grad_norm: 5.9839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5961 loss: 1.5961 2022/07/23 01:47:29 - mmengine - INFO - Epoch(train) [45][2280/3757] lr: 1.0000e-03 eta: 13:32:12 time: 0.2423 data_time: 0.0271 memory: 6108 grad_norm: 5.9806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7717 loss: 1.7717 2022/07/23 01:47:34 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 1.0000e-03 eta: 13:32:08 time: 0.2298 data_time: 0.0220 memory: 6108 grad_norm: 6.0489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4031 loss: 1.4031 2022/07/23 01:47:38 - mmengine - INFO - Epoch(train) [45][2320/3757] lr: 1.0000e-03 eta: 13:32:03 time: 0.2288 data_time: 0.0230 memory: 6108 grad_norm: 6.0731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5240 loss: 1.5240 2022/07/23 01:47:43 - mmengine - INFO - Epoch(train) [45][2340/3757] lr: 1.0000e-03 eta: 13:31:58 time: 0.2310 data_time: 0.0280 memory: 6108 grad_norm: 5.7973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3850 loss: 1.3850 2022/07/23 01:47:48 - mmengine - INFO - Epoch(train) [45][2360/3757] lr: 1.0000e-03 eta: 13:31:53 time: 0.2364 data_time: 0.0194 memory: 6108 grad_norm: 6.2530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/07/23 01:47:52 - mmengine - INFO - Epoch(train) [45][2380/3757] lr: 1.0000e-03 eta: 13:31:49 time: 0.2245 data_time: 0.0238 memory: 6108 grad_norm: 6.1262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4269 loss: 1.4269 2022/07/23 01:47:57 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 1.0000e-03 eta: 13:31:44 time: 0.2298 data_time: 0.0340 memory: 6108 grad_norm: 6.2057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4282 loss: 1.4282 2022/07/23 01:48:02 - mmengine - INFO - Epoch(train) [45][2420/3757] lr: 1.0000e-03 eta: 13:31:39 time: 0.2425 data_time: 0.0414 memory: 6108 grad_norm: 6.0896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/07/23 01:48:07 - mmengine - INFO - Epoch(train) [45][2440/3757] lr: 1.0000e-03 eta: 13:31:35 time: 0.2373 data_time: 0.0184 memory: 6108 grad_norm: 6.2606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2411 loss: 1.2411 2022/07/23 01:48:11 - mmengine - INFO - Epoch(train) [45][2460/3757] lr: 1.0000e-03 eta: 13:31:30 time: 0.2294 data_time: 0.0251 memory: 6108 grad_norm: 6.0309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/07/23 01:48:16 - mmengine - INFO - Epoch(train) [45][2480/3757] lr: 1.0000e-03 eta: 13:31:25 time: 0.2436 data_time: 0.0196 memory: 6108 grad_norm: 6.1027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4212 loss: 1.4212 2022/07/23 01:48:20 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 1.0000e-03 eta: 13:31:20 time: 0.2203 data_time: 0.0221 memory: 6108 grad_norm: 6.1908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3958 loss: 1.3958 2022/07/23 01:48:26 - mmengine - INFO - Epoch(train) [45][2520/3757] lr: 1.0000e-03 eta: 13:31:16 time: 0.2654 data_time: 0.0224 memory: 6108 grad_norm: 6.0074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/07/23 01:48:30 - mmengine - INFO - Epoch(train) [45][2540/3757] lr: 1.0000e-03 eta: 13:31:11 time: 0.2154 data_time: 0.0172 memory: 6108 grad_norm: 5.9967 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4928 loss: 1.4928 2022/07/23 01:48:35 - mmengine - INFO - Epoch(train) [45][2560/3757] lr: 1.0000e-03 eta: 13:31:07 time: 0.2357 data_time: 0.0245 memory: 6108 grad_norm: 6.1355 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5000 loss: 1.5000 2022/07/23 01:48:39 - mmengine - INFO - Epoch(train) [45][2580/3757] lr: 1.0000e-03 eta: 13:31:02 time: 0.2289 data_time: 0.0219 memory: 6108 grad_norm: 5.9863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2685 loss: 1.2685 2022/07/23 01:48:44 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 1.0000e-03 eta: 13:30:57 time: 0.2270 data_time: 0.0191 memory: 6108 grad_norm: 6.2064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8279 loss: 1.8279 2022/07/23 01:48:49 - mmengine - INFO - Epoch(train) [45][2620/3757] lr: 1.0000e-03 eta: 13:30:52 time: 0.2342 data_time: 0.0243 memory: 6108 grad_norm: 6.0739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3616 loss: 1.3616 2022/07/23 01:48:53 - mmengine - INFO - Epoch(train) [45][2640/3757] lr: 1.0000e-03 eta: 13:30:47 time: 0.2274 data_time: 0.0250 memory: 6108 grad_norm: 6.2553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9279 loss: 1.9279 2022/07/23 01:48:58 - mmengine - INFO - Epoch(train) [45][2660/3757] lr: 1.0000e-03 eta: 13:30:43 time: 0.2353 data_time: 0.0221 memory: 6108 grad_norm: 5.9966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4443 loss: 1.4443 2022/07/23 01:49:03 - mmengine - INFO - Epoch(train) [45][2680/3757] lr: 1.0000e-03 eta: 13:30:38 time: 0.2374 data_time: 0.0220 memory: 6108 grad_norm: 6.0437 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/07/23 01:49:06 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:49:08 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 1.0000e-03 eta: 13:30:34 time: 0.2424 data_time: 0.0226 memory: 6108 grad_norm: 6.2260 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5888 loss: 1.5888 2022/07/23 01:49:12 - mmengine - INFO - Epoch(train) [45][2720/3757] lr: 1.0000e-03 eta: 13:30:29 time: 0.2242 data_time: 0.0171 memory: 6108 grad_norm: 6.1854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4936 loss: 1.4936 2022/07/23 01:49:17 - mmengine - INFO - Epoch(train) [45][2740/3757] lr: 1.0000e-03 eta: 13:30:24 time: 0.2320 data_time: 0.0210 memory: 6108 grad_norm: 5.9193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6168 loss: 1.6168 2022/07/23 01:49:22 - mmengine - INFO - Epoch(train) [45][2760/3757] lr: 1.0000e-03 eta: 13:30:20 time: 0.2577 data_time: 0.0174 memory: 6108 grad_norm: 5.9814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/07/23 01:49:27 - mmengine - INFO - Epoch(train) [45][2780/3757] lr: 1.0000e-03 eta: 13:30:16 time: 0.2437 data_time: 0.0188 memory: 6108 grad_norm: 6.1721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4580 loss: 1.4580 2022/07/23 01:49:31 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 1.0000e-03 eta: 13:30:11 time: 0.2269 data_time: 0.0223 memory: 6108 grad_norm: 5.8890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3653 loss: 1.3653 2022/07/23 01:49:36 - mmengine - INFO - Epoch(train) [45][2820/3757] lr: 1.0000e-03 eta: 13:30:06 time: 0.2306 data_time: 0.0193 memory: 6108 grad_norm: 6.2401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4769 loss: 1.4769 2022/07/23 01:49:41 - mmengine - INFO - Epoch(train) [45][2840/3757] lr: 1.0000e-03 eta: 13:30:01 time: 0.2458 data_time: 0.0268 memory: 6108 grad_norm: 6.1723 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7258 loss: 1.7258 2022/07/23 01:49:46 - mmengine - INFO - Epoch(train) [45][2860/3757] lr: 1.0000e-03 eta: 13:29:57 time: 0.2427 data_time: 0.0283 memory: 6108 grad_norm: 6.1996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7446 loss: 1.7446 2022/07/23 01:49:50 - mmengine - INFO - Epoch(train) [45][2880/3757] lr: 1.0000e-03 eta: 13:29:52 time: 0.2204 data_time: 0.0201 memory: 6108 grad_norm: 6.3306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/07/23 01:49:55 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 1.0000e-03 eta: 13:29:47 time: 0.2265 data_time: 0.0252 memory: 6108 grad_norm: 6.3135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4648 loss: 1.4648 2022/07/23 01:49:59 - mmengine - INFO - Epoch(train) [45][2920/3757] lr: 1.0000e-03 eta: 13:29:42 time: 0.2288 data_time: 0.0321 memory: 6108 grad_norm: 6.1613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5586 loss: 1.5586 2022/07/23 01:50:04 - mmengine - INFO - Epoch(train) [45][2940/3757] lr: 1.0000e-03 eta: 13:29:38 time: 0.2327 data_time: 0.0190 memory: 6108 grad_norm: 6.1900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5768 loss: 1.5768 2022/07/23 01:50:09 - mmengine - INFO - Epoch(train) [45][2960/3757] lr: 1.0000e-03 eta: 13:29:33 time: 0.2564 data_time: 0.0239 memory: 6108 grad_norm: 6.1430 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6253 loss: 1.6253 2022/07/23 01:50:14 - mmengine - INFO - Epoch(train) [45][2980/3757] lr: 1.0000e-03 eta: 13:29:29 time: 0.2278 data_time: 0.0242 memory: 6108 grad_norm: 6.0895 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5664 loss: 1.5664 2022/07/23 01:50:18 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 1.0000e-03 eta: 13:29:24 time: 0.2284 data_time: 0.0269 memory: 6108 grad_norm: 6.2004 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5288 loss: 1.5288 2022/07/23 01:50:23 - mmengine - INFO - Epoch(train) [45][3020/3757] lr: 1.0000e-03 eta: 13:29:19 time: 0.2244 data_time: 0.0209 memory: 6108 grad_norm: 6.1875 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7047 loss: 1.7047 2022/07/23 01:50:28 - mmengine - INFO - Epoch(train) [45][3040/3757] lr: 1.0000e-03 eta: 13:29:14 time: 0.2368 data_time: 0.0231 memory: 6108 grad_norm: 6.4233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6675 loss: 1.6675 2022/07/23 01:50:32 - mmengine - INFO - Epoch(train) [45][3060/3757] lr: 1.0000e-03 eta: 13:29:09 time: 0.2291 data_time: 0.0189 memory: 6108 grad_norm: 6.1980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4607 loss: 1.4607 2022/07/23 01:50:37 - mmengine - INFO - Epoch(train) [45][3080/3757] lr: 1.0000e-03 eta: 13:29:05 time: 0.2305 data_time: 0.0268 memory: 6108 grad_norm: 5.8093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3989 loss: 1.3989 2022/07/23 01:50:41 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 1.0000e-03 eta: 13:29:00 time: 0.2306 data_time: 0.0321 memory: 6108 grad_norm: 5.8564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/07/23 01:50:46 - mmengine - INFO - Epoch(train) [45][3120/3757] lr: 1.0000e-03 eta: 13:28:55 time: 0.2452 data_time: 0.0182 memory: 6108 grad_norm: 5.9722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/07/23 01:50:51 - mmengine - INFO - Epoch(train) [45][3140/3757] lr: 1.0000e-03 eta: 13:28:51 time: 0.2417 data_time: 0.0209 memory: 6108 grad_norm: 6.1583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6133 loss: 1.6133 2022/07/23 01:50:56 - mmengine - INFO - Epoch(train) [45][3160/3757] lr: 1.0000e-03 eta: 13:28:46 time: 0.2310 data_time: 0.0225 memory: 6108 grad_norm: 6.0593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4555 loss: 1.4555 2022/07/23 01:51:01 - mmengine - INFO - Epoch(train) [45][3180/3757] lr: 1.0000e-03 eta: 13:28:42 time: 0.2340 data_time: 0.0173 memory: 6108 grad_norm: 6.2270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/23 01:51:05 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 1.0000e-03 eta: 13:28:37 time: 0.2356 data_time: 0.0219 memory: 6108 grad_norm: 6.2046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8888 loss: 1.8888 2022/07/23 01:51:10 - mmengine - INFO - Epoch(train) [45][3220/3757] lr: 1.0000e-03 eta: 13:28:32 time: 0.2291 data_time: 0.0242 memory: 6108 grad_norm: 6.1439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5952 loss: 1.5952 2022/07/23 01:51:14 - mmengine - INFO - Epoch(train) [45][3240/3757] lr: 1.0000e-03 eta: 13:28:27 time: 0.2246 data_time: 0.0235 memory: 6108 grad_norm: 6.2032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5776 loss: 1.5776 2022/07/23 01:51:19 - mmengine - INFO - Epoch(train) [45][3260/3757] lr: 1.0000e-03 eta: 13:28:23 time: 0.2376 data_time: 0.0212 memory: 6108 grad_norm: 6.2128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5486 loss: 1.5486 2022/07/23 01:51:24 - mmengine - INFO - Epoch(train) [45][3280/3757] lr: 1.0000e-03 eta: 13:28:18 time: 0.2393 data_time: 0.0264 memory: 6108 grad_norm: 6.1584 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5750 loss: 1.5750 2022/07/23 01:51:29 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 1.0000e-03 eta: 13:28:14 time: 0.2491 data_time: 0.0229 memory: 6108 grad_norm: 6.4121 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9795 loss: 1.9795 2022/07/23 01:51:34 - mmengine - INFO - Epoch(train) [45][3320/3757] lr: 1.0000e-03 eta: 13:28:09 time: 0.2288 data_time: 0.0214 memory: 6108 grad_norm: 6.0307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2595 loss: 1.2595 2022/07/23 01:51:38 - mmengine - INFO - Epoch(train) [45][3340/3757] lr: 1.0000e-03 eta: 13:28:04 time: 0.2311 data_time: 0.0231 memory: 6108 grad_norm: 6.1247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8059 loss: 1.8059 2022/07/23 01:51:43 - mmengine - INFO - Epoch(train) [45][3360/3757] lr: 1.0000e-03 eta: 13:27:59 time: 0.2264 data_time: 0.0227 memory: 6108 grad_norm: 6.1118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5119 loss: 1.5119 2022/07/23 01:51:48 - mmengine - INFO - Epoch(train) [45][3380/3757] lr: 1.0000e-03 eta: 13:27:55 time: 0.2381 data_time: 0.0232 memory: 6108 grad_norm: 5.9145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5888 loss: 1.5888 2022/07/23 01:51:52 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 1.0000e-03 eta: 13:27:50 time: 0.2336 data_time: 0.0271 memory: 6108 grad_norm: 6.2472 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2996 loss: 1.2996 2022/07/23 01:51:57 - mmengine - INFO - Epoch(train) [45][3420/3757] lr: 1.0000e-03 eta: 13:27:45 time: 0.2399 data_time: 0.0196 memory: 6108 grad_norm: 6.0983 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3465 loss: 1.3465 2022/07/23 01:52:02 - mmengine - INFO - Epoch(train) [45][3440/3757] lr: 1.0000e-03 eta: 13:27:41 time: 0.2247 data_time: 0.0233 memory: 6108 grad_norm: 5.9303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4064 loss: 1.4064 2022/07/23 01:52:07 - mmengine - INFO - Epoch(train) [45][3460/3757] lr: 1.0000e-03 eta: 13:27:36 time: 0.2526 data_time: 0.0221 memory: 6108 grad_norm: 6.1548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4532 loss: 1.4532 2022/07/23 01:52:11 - mmengine - INFO - Epoch(train) [45][3480/3757] lr: 1.0000e-03 eta: 13:27:31 time: 0.2294 data_time: 0.0212 memory: 6108 grad_norm: 6.1349 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7634 loss: 1.7634 2022/07/23 01:52:16 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 1.0000e-03 eta: 13:27:27 time: 0.2373 data_time: 0.0198 memory: 6108 grad_norm: 6.2092 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6194 loss: 1.6194 2022/07/23 01:52:20 - mmengine - INFO - Epoch(train) [45][3520/3757] lr: 1.0000e-03 eta: 13:27:22 time: 0.2217 data_time: 0.0216 memory: 6108 grad_norm: 6.1571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3468 loss: 1.3468 2022/07/23 01:52:26 - mmengine - INFO - Epoch(train) [45][3540/3757] lr: 1.0000e-03 eta: 13:27:18 time: 0.2704 data_time: 0.0176 memory: 6108 grad_norm: 6.1626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8712 loss: 1.8712 2022/07/23 01:52:30 - mmengine - INFO - Epoch(train) [45][3560/3757] lr: 1.0000e-03 eta: 13:27:13 time: 0.2205 data_time: 0.0227 memory: 6108 grad_norm: 6.0753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5386 loss: 1.5386 2022/07/23 01:52:35 - mmengine - INFO - Epoch(train) [45][3580/3757] lr: 1.0000e-03 eta: 13:27:08 time: 0.2277 data_time: 0.0230 memory: 6108 grad_norm: 6.1111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/07/23 01:52:40 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 1.0000e-03 eta: 13:27:04 time: 0.2332 data_time: 0.0246 memory: 6108 grad_norm: 6.3625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8521 loss: 1.8521 2022/07/23 01:52:44 - mmengine - INFO - Epoch(train) [45][3620/3757] lr: 1.0000e-03 eta: 13:26:59 time: 0.2294 data_time: 0.0184 memory: 6108 grad_norm: 6.3804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5268 loss: 1.5268 2022/07/23 01:52:49 - mmengine - INFO - Epoch(train) [45][3640/3757] lr: 1.0000e-03 eta: 13:26:54 time: 0.2412 data_time: 0.0238 memory: 6108 grad_norm: 5.8252 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2432 loss: 1.2432 2022/07/23 01:52:54 - mmengine - INFO - Epoch(train) [45][3660/3757] lr: 1.0000e-03 eta: 13:26:49 time: 0.2263 data_time: 0.0234 memory: 6108 grad_norm: 5.9830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2210 loss: 1.2210 2022/07/23 01:52:58 - mmengine - INFO - Epoch(train) [45][3680/3757] lr: 1.0000e-03 eta: 13:26:45 time: 0.2336 data_time: 0.0240 memory: 6108 grad_norm: 6.0671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5087 loss: 1.5087 2022/07/23 01:53:01 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:53:03 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 1.0000e-03 eta: 13:26:40 time: 0.2400 data_time: 0.0373 memory: 6108 grad_norm: 6.1411 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6174 loss: 1.6174 2022/07/23 01:53:08 - mmengine - INFO - Epoch(train) [45][3720/3757] lr: 1.0000e-03 eta: 13:26:36 time: 0.2411 data_time: 0.0199 memory: 6108 grad_norm: 5.9287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5310 loss: 1.5310 2022/07/23 01:53:12 - mmengine - INFO - Epoch(train) [45][3740/3757] lr: 1.0000e-03 eta: 13:26:31 time: 0.2252 data_time: 0.0252 memory: 6108 grad_norm: 6.2589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5085 loss: 1.5085 2022/07/23 01:53:16 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:53:16 - mmengine - INFO - Epoch(train) [45][3757/3757] lr: 1.0000e-03 eta: 13:26:31 time: 0.1973 data_time: 0.0168 memory: 6108 grad_norm: 6.0946 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.5357 loss: 1.5357 2022/07/23 01:53:16 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/07/23 01:53:26 - mmengine - INFO - Epoch(val) [45][20/310] eta: 0:01:21 time: 0.2796 data_time: 0.2042 memory: 1428 2022/07/23 01:53:29 - mmengine - INFO - Epoch(val) [45][40/310] eta: 0:00:50 time: 0.1885 data_time: 0.1098 memory: 1428 2022/07/23 01:53:34 - mmengine - INFO - Epoch(val) [45][60/310] eta: 0:00:54 time: 0.2181 data_time: 0.1397 memory: 1428 2022/07/23 01:53:38 - mmengine - INFO - Epoch(val) [45][80/310] eta: 0:00:50 time: 0.2213 data_time: 0.1466 memory: 1428 2022/07/23 01:53:42 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:00:44 time: 0.2127 data_time: 0.1385 memory: 1428 2022/07/23 01:53:46 - mmengine - INFO - Epoch(val) [45][120/310] eta: 0:00:37 time: 0.1957 data_time: 0.1186 memory: 1428 2022/07/23 01:53:52 - mmengine - INFO - Epoch(val) [45][140/310] eta: 0:00:44 time: 0.2611 data_time: 0.1865 memory: 1428 2022/07/23 01:53:55 - mmengine - INFO - Epoch(val) [45][160/310] eta: 0:00:26 time: 0.1796 data_time: 0.1022 memory: 1428 2022/07/23 01:54:01 - mmengine - INFO - Epoch(val) [45][180/310] eta: 0:00:40 time: 0.3086 data_time: 0.1517 memory: 1428 2022/07/23 01:54:05 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:20 time: 0.1841 data_time: 0.1108 memory: 1428 2022/07/23 01:54:10 - mmengine - INFO - Epoch(val) [45][220/310] eta: 0:00:20 time: 0.2321 data_time: 0.1584 memory: 1428 2022/07/23 01:54:13 - mmengine - INFO - Epoch(val) [45][240/310] eta: 0:00:12 time: 0.1851 data_time: 0.1104 memory: 1428 2022/07/23 01:54:18 - mmengine - INFO - Epoch(val) [45][260/310] eta: 0:00:11 time: 0.2365 data_time: 0.1595 memory: 1428 2022/07/23 01:54:22 - mmengine - INFO - Epoch(val) [45][280/310] eta: 0:00:05 time: 0.1919 data_time: 0.1184 memory: 1428 2022/07/23 01:54:25 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:01 time: 0.1456 data_time: 0.0879 memory: 1428 2022/07/23 01:54:28 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.6414 acc/top5: 0.8499 acc/mean1: 0.6413 2022/07/23 01:54:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_44.pth is removed 2022/07/23 01:54:30 - mmengine - INFO - The best checkpoint with 0.6414 acc/top1 at 46 epoch is saved to best_acc/top1_epoch_46.pth. 2022/07/23 01:54:36 - mmengine - INFO - Epoch(train) [46][20/3757] lr: 1.0000e-03 eta: 13:26:18 time: 0.2712 data_time: 0.0757 memory: 6108 grad_norm: 6.0123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/07/23 01:54:40 - mmengine - INFO - Epoch(train) [46][40/3757] lr: 1.0000e-03 eta: 13:26:13 time: 0.2295 data_time: 0.0235 memory: 6108 grad_norm: 5.8686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3497 loss: 1.3497 2022/07/23 01:54:45 - mmengine - INFO - Epoch(train) [46][60/3757] lr: 1.0000e-03 eta: 13:26:08 time: 0.2289 data_time: 0.0232 memory: 6108 grad_norm: 6.1004 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4210 loss: 1.4210 2022/07/23 01:54:50 - mmengine - INFO - Epoch(train) [46][80/3757] lr: 1.0000e-03 eta: 13:26:04 time: 0.2300 data_time: 0.0210 memory: 6108 grad_norm: 5.9388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6130 loss: 1.6130 2022/07/23 01:54:54 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 1.0000e-03 eta: 13:25:59 time: 0.2365 data_time: 0.0358 memory: 6108 grad_norm: 6.1194 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6552 loss: 1.6552 2022/07/23 01:54:59 - mmengine - INFO - Epoch(train) [46][120/3757] lr: 1.0000e-03 eta: 13:25:54 time: 0.2365 data_time: 0.0371 memory: 6108 grad_norm: 5.9674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5047 loss: 1.5047 2022/07/23 01:55:04 - mmengine - INFO - Epoch(train) [46][140/3757] lr: 1.0000e-03 eta: 13:25:49 time: 0.2217 data_time: 0.0222 memory: 6108 grad_norm: 6.0307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/07/23 01:55:09 - mmengine - INFO - Epoch(train) [46][160/3757] lr: 1.0000e-03 eta: 13:25:45 time: 0.2543 data_time: 0.0225 memory: 6108 grad_norm: 6.1911 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2566 loss: 1.2566 2022/07/23 01:55:13 - mmengine - INFO - Epoch(train) [46][180/3757] lr: 1.0000e-03 eta: 13:25:40 time: 0.2286 data_time: 0.0236 memory: 6108 grad_norm: 5.9843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2702 loss: 1.2702 2022/07/23 01:55:18 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 1.0000e-03 eta: 13:25:36 time: 0.2302 data_time: 0.0197 memory: 6108 grad_norm: 6.0444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5612 loss: 1.5612 2022/07/23 01:55:22 - mmengine - INFO - Epoch(train) [46][220/3757] lr: 1.0000e-03 eta: 13:25:31 time: 0.2225 data_time: 0.0224 memory: 6108 grad_norm: 6.1473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/23 01:55:27 - mmengine - INFO - Epoch(train) [46][240/3757] lr: 1.0000e-03 eta: 13:25:27 time: 0.2579 data_time: 0.0279 memory: 6108 grad_norm: 6.1312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3615 loss: 1.3615 2022/07/23 01:55:32 - mmengine - INFO - Epoch(train) [46][260/3757] lr: 1.0000e-03 eta: 13:25:22 time: 0.2269 data_time: 0.0177 memory: 6108 grad_norm: 6.1852 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5862 loss: 1.5862 2022/07/23 01:55:37 - mmengine - INFO - Epoch(train) [46][280/3757] lr: 1.0000e-03 eta: 13:25:17 time: 0.2350 data_time: 0.0209 memory: 6108 grad_norm: 6.1974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9097 loss: 1.9097 2022/07/23 01:55:42 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 1.0000e-03 eta: 13:25:13 time: 0.2407 data_time: 0.0293 memory: 6108 grad_norm: 6.0997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3546 loss: 1.3546 2022/07/23 01:55:47 - mmengine - INFO - Epoch(train) [46][320/3757] lr: 1.0000e-03 eta: 13:25:09 time: 0.2920 data_time: 0.0212 memory: 6108 grad_norm: 6.2414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5085 loss: 1.5085 2022/07/23 01:55:52 - mmengine - INFO - Epoch(train) [46][340/3757] lr: 1.0000e-03 eta: 13:25:04 time: 0.2233 data_time: 0.0232 memory: 6108 grad_norm: 6.1838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/07/23 01:55:57 - mmengine - INFO - Epoch(train) [46][360/3757] lr: 1.0000e-03 eta: 13:25:00 time: 0.2322 data_time: 0.0258 memory: 6108 grad_norm: 5.8015 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3803 loss: 1.3803 2022/07/23 01:56:01 - mmengine - INFO - Epoch(train) [46][380/3757] lr: 1.0000e-03 eta: 13:24:55 time: 0.2350 data_time: 0.0294 memory: 6108 grad_norm: 6.1299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4085 loss: 1.4085 2022/07/23 01:56:07 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 1.0000e-03 eta: 13:24:51 time: 0.2789 data_time: 0.0229 memory: 6108 grad_norm: 5.9535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5632 loss: 1.5632 2022/07/23 01:56:11 - mmengine - INFO - Epoch(train) [46][420/3757] lr: 1.0000e-03 eta: 13:24:46 time: 0.2130 data_time: 0.0153 memory: 6108 grad_norm: 5.9393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4224 loss: 1.4224 2022/07/23 01:56:16 - mmengine - INFO - Epoch(train) [46][440/3757] lr: 1.0000e-03 eta: 13:24:41 time: 0.2288 data_time: 0.0204 memory: 6108 grad_norm: 6.2017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3640 loss: 1.3640 2022/07/23 01:56:21 - mmengine - INFO - Epoch(train) [46][460/3757] lr: 1.0000e-03 eta: 13:24:38 time: 0.2753 data_time: 0.0836 memory: 6108 grad_norm: 6.1555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3080 loss: 1.3080 2022/07/23 01:56:27 - mmengine - INFO - Epoch(train) [46][480/3757] lr: 1.0000e-03 eta: 13:24:34 time: 0.2690 data_time: 0.0398 memory: 6108 grad_norm: 6.3337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6595 loss: 1.6595 2022/07/23 01:56:31 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 1.0000e-03 eta: 13:24:29 time: 0.2236 data_time: 0.0192 memory: 6108 grad_norm: 6.2271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/07/23 01:56:36 - mmengine - INFO - Epoch(train) [46][520/3757] lr: 1.0000e-03 eta: 13:24:24 time: 0.2240 data_time: 0.0209 memory: 6108 grad_norm: 6.0941 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7786 loss: 1.7786 2022/07/23 01:56:40 - mmengine - INFO - Epoch(train) [46][540/3757] lr: 1.0000e-03 eta: 13:24:19 time: 0.2248 data_time: 0.0183 memory: 6108 grad_norm: 6.1542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6034 loss: 1.6034 2022/07/23 01:56:45 - mmengine - INFO - Epoch(train) [46][560/3757] lr: 1.0000e-03 eta: 13:24:14 time: 0.2308 data_time: 0.0243 memory: 6108 grad_norm: 5.9489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1740 loss: 1.1740 2022/07/23 01:56:50 - mmengine - INFO - Epoch(train) [46][580/3757] lr: 1.0000e-03 eta: 13:24:10 time: 0.2560 data_time: 0.0193 memory: 6108 grad_norm: 5.9445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3884 loss: 1.3884 2022/07/23 01:56:55 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 1.0000e-03 eta: 13:24:05 time: 0.2276 data_time: 0.0255 memory: 6108 grad_norm: 6.0488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/07/23 01:56:59 - mmengine - INFO - Epoch(train) [46][620/3757] lr: 1.0000e-03 eta: 13:24:00 time: 0.2295 data_time: 0.0220 memory: 6108 grad_norm: 6.0528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4698 loss: 1.4698 2022/07/23 01:57:04 - mmengine - INFO - Epoch(train) [46][640/3757] lr: 1.0000e-03 eta: 13:23:56 time: 0.2319 data_time: 0.0201 memory: 6108 grad_norm: 6.3025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4634 loss: 1.4634 2022/07/23 01:57:09 - mmengine - INFO - Epoch(train) [46][660/3757] lr: 1.0000e-03 eta: 13:23:52 time: 0.2615 data_time: 0.0215 memory: 6108 grad_norm: 6.0899 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3207 loss: 1.3207 2022/07/23 01:57:14 - mmengine - INFO - Epoch(train) [46][680/3757] lr: 1.0000e-03 eta: 13:23:47 time: 0.2301 data_time: 0.0321 memory: 6108 grad_norm: 6.0006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4921 loss: 1.4921 2022/07/23 01:57:18 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 1.0000e-03 eta: 13:23:42 time: 0.2265 data_time: 0.0208 memory: 6108 grad_norm: 6.0061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3432 loss: 1.3432 2022/07/23 01:57:23 - mmengine - INFO - Epoch(train) [46][720/3757] lr: 1.0000e-03 eta: 13:23:37 time: 0.2238 data_time: 0.0190 memory: 6108 grad_norm: 6.0557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2065 loss: 1.2065 2022/07/23 01:57:27 - mmengine - INFO - Epoch(train) [46][740/3757] lr: 1.0000e-03 eta: 13:23:33 time: 0.2378 data_time: 0.0249 memory: 6108 grad_norm: 5.9237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5280 loss: 1.5280 2022/07/23 01:57:32 - mmengine - INFO - Epoch(train) [46][760/3757] lr: 1.0000e-03 eta: 13:23:28 time: 0.2329 data_time: 0.0183 memory: 6108 grad_norm: 6.2396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7288 loss: 1.7288 2022/07/23 01:57:37 - mmengine - INFO - Epoch(train) [46][780/3757] lr: 1.0000e-03 eta: 13:23:23 time: 0.2466 data_time: 0.0205 memory: 6108 grad_norm: 6.1787 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6432 loss: 1.6432 2022/07/23 01:57:42 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 1.0000e-03 eta: 13:23:19 time: 0.2274 data_time: 0.0198 memory: 6108 grad_norm: 5.8412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/07/23 01:57:46 - mmengine - INFO - Epoch(train) [46][820/3757] lr: 1.0000e-03 eta: 13:23:14 time: 0.2402 data_time: 0.0220 memory: 6108 grad_norm: 6.2969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7989 loss: 1.7989 2022/07/23 01:57:51 - mmengine - INFO - Epoch(train) [46][840/3757] lr: 1.0000e-03 eta: 13:23:09 time: 0.2258 data_time: 0.0171 memory: 6108 grad_norm: 6.0865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3742 loss: 1.3742 2022/07/23 01:57:56 - mmengine - INFO - Epoch(train) [46][860/3757] lr: 1.0000e-03 eta: 13:23:04 time: 0.2253 data_time: 0.0289 memory: 6108 grad_norm: 6.0275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2899 loss: 1.2899 2022/07/23 01:58:00 - mmengine - INFO - Epoch(train) [46][880/3757] lr: 1.0000e-03 eta: 13:22:59 time: 0.2258 data_time: 0.0246 memory: 6108 grad_norm: 6.1388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2591 loss: 1.2591 2022/07/23 01:58:05 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 1.0000e-03 eta: 13:22:55 time: 0.2283 data_time: 0.0278 memory: 6108 grad_norm: 6.2205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6391 loss: 1.6391 2022/07/23 01:58:10 - mmengine - INFO - Epoch(train) [46][920/3757] lr: 1.0000e-03 eta: 13:22:50 time: 0.2552 data_time: 0.0197 memory: 6108 grad_norm: 6.5585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/07/23 01:58:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 01:58:14 - mmengine - INFO - Epoch(train) [46][940/3757] lr: 1.0000e-03 eta: 13:22:46 time: 0.2333 data_time: 0.0247 memory: 6108 grad_norm: 6.0830 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4319 loss: 1.4319 2022/07/23 01:58:19 - mmengine - INFO - Epoch(train) [46][960/3757] lr: 1.0000e-03 eta: 13:22:41 time: 0.2418 data_time: 0.0204 memory: 6108 grad_norm: 6.2601 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6466 loss: 1.6466 2022/07/23 01:58:24 - mmengine - INFO - Epoch(train) [46][980/3757] lr: 1.0000e-03 eta: 13:22:36 time: 0.2246 data_time: 0.0238 memory: 6108 grad_norm: 6.1859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2984 loss: 1.2984 2022/07/23 01:58:29 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 1.0000e-03 eta: 13:22:32 time: 0.2475 data_time: 0.0205 memory: 6108 grad_norm: 6.0036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2723 loss: 1.2723 2022/07/23 01:58:34 - mmengine - INFO - Epoch(train) [46][1020/3757] lr: 1.0000e-03 eta: 13:22:27 time: 0.2360 data_time: 0.0241 memory: 6108 grad_norm: 6.2556 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5502 loss: 1.5502 2022/07/23 01:58:38 - mmengine - INFO - Epoch(train) [46][1040/3757] lr: 1.0000e-03 eta: 13:22:23 time: 0.2427 data_time: 0.0233 memory: 6108 grad_norm: 6.0503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2492 loss: 1.2492 2022/07/23 01:58:43 - mmengine - INFO - Epoch(train) [46][1060/3757] lr: 1.0000e-03 eta: 13:22:18 time: 0.2288 data_time: 0.0212 memory: 6108 grad_norm: 6.0096 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2695 loss: 1.2695 2022/07/23 01:58:47 - mmengine - INFO - Epoch(train) [46][1080/3757] lr: 1.0000e-03 eta: 13:22:13 time: 0.2237 data_time: 0.0215 memory: 6108 grad_norm: 6.1852 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7169 loss: 1.7169 2022/07/23 01:58:52 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 1.0000e-03 eta: 13:22:08 time: 0.2268 data_time: 0.0222 memory: 6108 grad_norm: 6.1630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3471 loss: 1.3471 2022/07/23 01:58:58 - mmengine - INFO - Epoch(train) [46][1120/3757] lr: 1.0000e-03 eta: 13:22:04 time: 0.2766 data_time: 0.0199 memory: 6108 grad_norm: 6.1417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6066 loss: 1.6066 2022/07/23 01:59:02 - mmengine - INFO - Epoch(train) [46][1140/3757] lr: 1.0000e-03 eta: 13:22:00 time: 0.2219 data_time: 0.0200 memory: 6108 grad_norm: 6.2058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4457 loss: 1.4457 2022/07/23 01:59:07 - mmengine - INFO - Epoch(train) [46][1160/3757] lr: 1.0000e-03 eta: 13:21:55 time: 0.2265 data_time: 0.0238 memory: 6108 grad_norm: 6.1831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3989 loss: 1.3989 2022/07/23 01:59:11 - mmengine - INFO - Epoch(train) [46][1180/3757] lr: 1.0000e-03 eta: 13:21:50 time: 0.2353 data_time: 0.0266 memory: 6108 grad_norm: 6.1509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/07/23 01:59:16 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 1.0000e-03 eta: 13:21:46 time: 0.2481 data_time: 0.0249 memory: 6108 grad_norm: 6.2578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4150 loss: 1.4150 2022/07/23 01:59:21 - mmengine - INFO - Epoch(train) [46][1220/3757] lr: 1.0000e-03 eta: 13:21:41 time: 0.2221 data_time: 0.0185 memory: 6108 grad_norm: 6.1075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3402 loss: 1.3402 2022/07/23 01:59:25 - mmengine - INFO - Epoch(train) [46][1240/3757] lr: 1.0000e-03 eta: 13:21:36 time: 0.2318 data_time: 0.0231 memory: 6108 grad_norm: 6.3263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2614 loss: 1.2614 2022/07/23 01:59:30 - mmengine - INFO - Epoch(train) [46][1260/3757] lr: 1.0000e-03 eta: 13:21:31 time: 0.2295 data_time: 0.0243 memory: 6108 grad_norm: 6.2208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/07/23 01:59:35 - mmengine - INFO - Epoch(train) [46][1280/3757] lr: 1.0000e-03 eta: 13:21:26 time: 0.2285 data_time: 0.0259 memory: 6108 grad_norm: 6.3236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8802 loss: 1.8802 2022/07/23 01:59:39 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 1.0000e-03 eta: 13:21:22 time: 0.2316 data_time: 0.0249 memory: 6108 grad_norm: 6.2150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4616 loss: 1.4616 2022/07/23 01:59:44 - mmengine - INFO - Epoch(train) [46][1320/3757] lr: 1.0000e-03 eta: 13:21:17 time: 0.2284 data_time: 0.0236 memory: 6108 grad_norm: 6.1570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5454 loss: 1.5454 2022/07/23 01:59:48 - mmengine - INFO - Epoch(train) [46][1340/3757] lr: 1.0000e-03 eta: 13:21:12 time: 0.2324 data_time: 0.0257 memory: 6108 grad_norm: 6.3311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5220 loss: 1.5220 2022/07/23 01:59:53 - mmengine - INFO - Epoch(train) [46][1360/3757] lr: 1.0000e-03 eta: 13:21:07 time: 0.2270 data_time: 0.0247 memory: 6108 grad_norm: 6.4515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1315 loss: 1.1315 2022/07/23 01:59:58 - mmengine - INFO - Epoch(train) [46][1380/3757] lr: 1.0000e-03 eta: 13:21:03 time: 0.2525 data_time: 0.0422 memory: 6108 grad_norm: 6.3820 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5922 loss: 1.5922 2022/07/23 02:00:03 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 1.0000e-03 eta: 13:20:58 time: 0.2389 data_time: 0.0455 memory: 6108 grad_norm: 6.1045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5267 loss: 1.5267 2022/07/23 02:00:08 - mmengine - INFO - Epoch(train) [46][1420/3757] lr: 1.0000e-03 eta: 13:20:54 time: 0.2326 data_time: 0.0316 memory: 6108 grad_norm: 6.2384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/07/23 02:00:12 - mmengine - INFO - Epoch(train) [46][1440/3757] lr: 1.0000e-03 eta: 13:20:49 time: 0.2439 data_time: 0.0482 memory: 6108 grad_norm: 6.1428 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5695 loss: 1.5695 2022/07/23 02:00:20 - mmengine - INFO - Epoch(train) [46][1460/3757] lr: 1.0000e-03 eta: 13:20:48 time: 0.3736 data_time: 0.0185 memory: 6108 grad_norm: 6.1828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/07/23 02:00:24 - mmengine - INFO - Epoch(train) [46][1480/3757] lr: 1.0000e-03 eta: 13:20:43 time: 0.2254 data_time: 0.0285 memory: 6108 grad_norm: 6.0635 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4242 loss: 1.4242 2022/07/23 02:00:29 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 1.0000e-03 eta: 13:20:38 time: 0.2419 data_time: 0.0232 memory: 6108 grad_norm: 6.1799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/07/23 02:00:34 - mmengine - INFO - Epoch(train) [46][1520/3757] lr: 1.0000e-03 eta: 13:20:34 time: 0.2286 data_time: 0.0236 memory: 6108 grad_norm: 5.9545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6039 loss: 1.6039 2022/07/23 02:00:40 - mmengine - INFO - Epoch(train) [46][1540/3757] lr: 1.0000e-03 eta: 13:20:30 time: 0.2830 data_time: 0.0260 memory: 6108 grad_norm: 6.2060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/07/23 02:00:44 - mmengine - INFO - Epoch(train) [46][1560/3757] lr: 1.0000e-03 eta: 13:20:25 time: 0.2271 data_time: 0.0208 memory: 6108 grad_norm: 6.3266 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2480 loss: 1.2480 2022/07/23 02:00:49 - mmengine - INFO - Epoch(train) [46][1580/3757] lr: 1.0000e-03 eta: 13:20:21 time: 0.2327 data_time: 0.0254 memory: 6108 grad_norm: 6.1787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3458 loss: 1.3458 2022/07/23 02:00:53 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 1.0000e-03 eta: 13:20:16 time: 0.2261 data_time: 0.0257 memory: 6108 grad_norm: 6.1811 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4782 loss: 1.4782 2022/07/23 02:00:59 - mmengine - INFO - Epoch(train) [46][1620/3757] lr: 1.0000e-03 eta: 13:20:12 time: 0.2564 data_time: 0.0199 memory: 6108 grad_norm: 6.0842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3199 loss: 1.3199 2022/07/23 02:01:03 - mmengine - INFO - Epoch(train) [46][1640/3757] lr: 1.0000e-03 eta: 13:20:07 time: 0.2247 data_time: 0.0249 memory: 6108 grad_norm: 5.9896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/07/23 02:01:08 - mmengine - INFO - Epoch(train) [46][1660/3757] lr: 1.0000e-03 eta: 13:20:03 time: 0.2649 data_time: 0.0151 memory: 6108 grad_norm: 6.2599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3932 loss: 1.3932 2022/07/23 02:01:13 - mmengine - INFO - Epoch(train) [46][1680/3757] lr: 1.0000e-03 eta: 13:19:58 time: 0.2390 data_time: 0.0195 memory: 6108 grad_norm: 6.2594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4921 loss: 1.4921 2022/07/23 02:01:18 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 1.0000e-03 eta: 13:19:54 time: 0.2437 data_time: 0.0267 memory: 6108 grad_norm: 5.9563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/07/23 02:01:23 - mmengine - INFO - Epoch(train) [46][1720/3757] lr: 1.0000e-03 eta: 13:19:49 time: 0.2282 data_time: 0.0200 memory: 6108 grad_norm: 6.2009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/07/23 02:01:27 - mmengine - INFO - Epoch(train) [46][1740/3757] lr: 1.0000e-03 eta: 13:19:44 time: 0.2289 data_time: 0.0207 memory: 6108 grad_norm: 6.1966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/07/23 02:01:32 - mmengine - INFO - Epoch(train) [46][1760/3757] lr: 1.0000e-03 eta: 13:19:39 time: 0.2298 data_time: 0.0266 memory: 6108 grad_norm: 6.1226 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8447 loss: 1.8447 2022/07/23 02:01:37 - mmengine - INFO - Epoch(train) [46][1780/3757] lr: 1.0000e-03 eta: 13:19:35 time: 0.2686 data_time: 0.0207 memory: 6108 grad_norm: 6.2504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7093 loss: 1.7093 2022/07/23 02:01:42 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 1.0000e-03 eta: 13:19:30 time: 0.2165 data_time: 0.0201 memory: 6108 grad_norm: 6.2248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4860 loss: 1.4860 2022/07/23 02:01:46 - mmengine - INFO - Epoch(train) [46][1820/3757] lr: 1.0000e-03 eta: 13:19:26 time: 0.2327 data_time: 0.0256 memory: 6108 grad_norm: 6.1946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/07/23 02:01:51 - mmengine - INFO - Epoch(train) [46][1840/3757] lr: 1.0000e-03 eta: 13:19:21 time: 0.2327 data_time: 0.0187 memory: 6108 grad_norm: 6.2187 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4541 loss: 1.4541 2022/07/23 02:01:55 - mmengine - INFO - Epoch(train) [46][1860/3757] lr: 1.0000e-03 eta: 13:19:16 time: 0.2263 data_time: 0.0267 memory: 6108 grad_norm: 5.9702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5754 loss: 1.5754 2022/07/23 02:02:00 - mmengine - INFO - Epoch(train) [46][1880/3757] lr: 1.0000e-03 eta: 13:19:12 time: 0.2452 data_time: 0.0232 memory: 6108 grad_norm: 6.2445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4172 loss: 1.4172 2022/07/23 02:02:05 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 1.0000e-03 eta: 13:19:07 time: 0.2269 data_time: 0.0218 memory: 6108 grad_norm: 6.1883 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4593 loss: 1.4593 2022/07/23 02:02:09 - mmengine - INFO - Epoch(train) [46][1920/3757] lr: 1.0000e-03 eta: 13:19:02 time: 0.2277 data_time: 0.0211 memory: 6108 grad_norm: 6.0192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5871 loss: 1.5871 2022/07/23 02:02:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:02:14 - mmengine - INFO - Epoch(train) [46][1940/3757] lr: 1.0000e-03 eta: 13:18:57 time: 0.2288 data_time: 0.0260 memory: 6108 grad_norm: 6.3255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4809 loss: 1.4809 2022/07/23 02:02:19 - mmengine - INFO - Epoch(train) [46][1960/3757] lr: 1.0000e-03 eta: 13:18:53 time: 0.2491 data_time: 0.0267 memory: 6108 grad_norm: 6.1067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1726 loss: 1.1726 2022/07/23 02:02:24 - mmengine - INFO - Epoch(train) [46][1980/3757] lr: 1.0000e-03 eta: 13:18:48 time: 0.2210 data_time: 0.0233 memory: 6108 grad_norm: 6.1306 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3219 loss: 1.3219 2022/07/23 02:02:29 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 1.0000e-03 eta: 13:18:43 time: 0.2486 data_time: 0.0238 memory: 6108 grad_norm: 6.1616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4598 loss: 1.4598 2022/07/23 02:02:33 - mmengine - INFO - Epoch(train) [46][2020/3757] lr: 1.0000e-03 eta: 13:18:39 time: 0.2332 data_time: 0.0224 memory: 6108 grad_norm: 6.0111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/07/23 02:02:38 - mmengine - INFO - Epoch(train) [46][2040/3757] lr: 1.0000e-03 eta: 13:18:34 time: 0.2465 data_time: 0.0263 memory: 6108 grad_norm: 6.3514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4983 loss: 1.4983 2022/07/23 02:02:43 - mmengine - INFO - Epoch(train) [46][2060/3757] lr: 1.0000e-03 eta: 13:18:29 time: 0.2265 data_time: 0.0216 memory: 6108 grad_norm: 6.2225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4896 loss: 1.4896 2022/07/23 02:02:47 - mmengine - INFO - Epoch(train) [46][2080/3757] lr: 1.0000e-03 eta: 13:18:25 time: 0.2386 data_time: 0.0250 memory: 6108 grad_norm: 6.2940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/07/23 02:02:52 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 1.0000e-03 eta: 13:18:20 time: 0.2315 data_time: 0.0216 memory: 6108 grad_norm: 6.1849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3521 loss: 1.3521 2022/07/23 02:02:57 - mmengine - INFO - Epoch(train) [46][2120/3757] lr: 1.0000e-03 eta: 13:18:15 time: 0.2362 data_time: 0.0271 memory: 6108 grad_norm: 6.1025 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3867 loss: 1.3867 2022/07/23 02:03:01 - mmengine - INFO - Epoch(train) [46][2140/3757] lr: 1.0000e-03 eta: 13:18:11 time: 0.2286 data_time: 0.0253 memory: 6108 grad_norm: 6.1140 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6143 loss: 1.6143 2022/07/23 02:03:06 - mmengine - INFO - Epoch(train) [46][2160/3757] lr: 1.0000e-03 eta: 13:18:06 time: 0.2444 data_time: 0.0415 memory: 6108 grad_norm: 6.0793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4012 loss: 1.4012 2022/07/23 02:03:11 - mmengine - INFO - Epoch(train) [46][2180/3757] lr: 1.0000e-03 eta: 13:18:01 time: 0.2313 data_time: 0.0299 memory: 6108 grad_norm: 6.2001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7854 loss: 1.7854 2022/07/23 02:03:16 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 1.0000e-03 eta: 13:17:57 time: 0.2293 data_time: 0.0280 memory: 6108 grad_norm: 6.0017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6149 loss: 1.6149 2022/07/23 02:03:20 - mmengine - INFO - Epoch(train) [46][2220/3757] lr: 1.0000e-03 eta: 13:17:52 time: 0.2300 data_time: 0.0215 memory: 6108 grad_norm: 6.3894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4505 loss: 1.4505 2022/07/23 02:03:25 - mmengine - INFO - Epoch(train) [46][2240/3757] lr: 1.0000e-03 eta: 13:17:47 time: 0.2306 data_time: 0.0311 memory: 6108 grad_norm: 6.1645 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/07/23 02:03:30 - mmengine - INFO - Epoch(train) [46][2260/3757] lr: 1.0000e-03 eta: 13:17:43 time: 0.2397 data_time: 0.0224 memory: 6108 grad_norm: 6.0574 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4708 loss: 1.4708 2022/07/23 02:03:34 - mmengine - INFO - Epoch(train) [46][2280/3757] lr: 1.0000e-03 eta: 13:17:38 time: 0.2324 data_time: 0.0343 memory: 6108 grad_norm: 6.0410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/07/23 02:03:39 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 1.0000e-03 eta: 13:17:33 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 6.2861 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4449 loss: 1.4449 2022/07/23 02:03:44 - mmengine - INFO - Epoch(train) [46][2320/3757] lr: 1.0000e-03 eta: 13:17:28 time: 0.2346 data_time: 0.0214 memory: 6108 grad_norm: 6.4114 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5539 loss: 1.5539 2022/07/23 02:03:49 - mmengine - INFO - Epoch(train) [46][2340/3757] lr: 1.0000e-03 eta: 13:17:24 time: 0.2499 data_time: 0.0185 memory: 6108 grad_norm: 6.3959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/07/23 02:03:53 - mmengine - INFO - Epoch(train) [46][2360/3757] lr: 1.0000e-03 eta: 13:17:19 time: 0.2305 data_time: 0.0279 memory: 6108 grad_norm: 6.2334 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/07/23 02:03:58 - mmengine - INFO - Epoch(train) [46][2380/3757] lr: 1.0000e-03 eta: 13:17:15 time: 0.2324 data_time: 0.0174 memory: 6108 grad_norm: 6.3379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7727 loss: 1.7727 2022/07/23 02:04:03 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 1.0000e-03 eta: 13:17:10 time: 0.2356 data_time: 0.0312 memory: 6108 grad_norm: 6.2409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3672 loss: 1.3672 2022/07/23 02:04:08 - mmengine - INFO - Epoch(train) [46][2420/3757] lr: 1.0000e-03 eta: 13:17:06 time: 0.2510 data_time: 0.0299 memory: 6108 grad_norm: 5.9605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5535 loss: 1.5535 2022/07/23 02:04:12 - mmengine - INFO - Epoch(train) [46][2440/3757] lr: 1.0000e-03 eta: 13:17:01 time: 0.2243 data_time: 0.0217 memory: 6108 grad_norm: 6.0774 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5873 loss: 1.5873 2022/07/23 02:04:17 - mmengine - INFO - Epoch(train) [46][2460/3757] lr: 1.0000e-03 eta: 13:16:56 time: 0.2257 data_time: 0.0197 memory: 6108 grad_norm: 5.9874 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1648 loss: 1.1648 2022/07/23 02:04:21 - mmengine - INFO - Epoch(train) [46][2480/3757] lr: 1.0000e-03 eta: 13:16:51 time: 0.2221 data_time: 0.0267 memory: 6108 grad_norm: 6.1205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6781 loss: 1.6781 2022/07/23 02:04:26 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 1.0000e-03 eta: 13:16:46 time: 0.2203 data_time: 0.0186 memory: 6108 grad_norm: 6.4192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3849 loss: 1.3849 2022/07/23 02:04:30 - mmengine - INFO - Epoch(train) [46][2520/3757] lr: 1.0000e-03 eta: 13:16:41 time: 0.2412 data_time: 0.0235 memory: 6108 grad_norm: 6.2948 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2883 loss: 1.2883 2022/07/23 02:04:35 - mmengine - INFO - Epoch(train) [46][2540/3757] lr: 1.0000e-03 eta: 13:16:37 time: 0.2425 data_time: 0.0242 memory: 6108 grad_norm: 6.2077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3209 loss: 1.3209 2022/07/23 02:04:40 - mmengine - INFO - Epoch(train) [46][2560/3757] lr: 1.0000e-03 eta: 13:16:32 time: 0.2389 data_time: 0.0228 memory: 6108 grad_norm: 6.4185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6933 loss: 1.6933 2022/07/23 02:04:45 - mmengine - INFO - Epoch(train) [46][2580/3757] lr: 1.0000e-03 eta: 13:16:27 time: 0.2277 data_time: 0.0220 memory: 6108 grad_norm: 6.1625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4495 loss: 1.4495 2022/07/23 02:04:50 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 1.0000e-03 eta: 13:16:23 time: 0.2417 data_time: 0.0214 memory: 6108 grad_norm: 6.1299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4488 loss: 1.4488 2022/07/23 02:04:54 - mmengine - INFO - Epoch(train) [46][2620/3757] lr: 1.0000e-03 eta: 13:16:18 time: 0.2265 data_time: 0.0268 memory: 6108 grad_norm: 6.1917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5324 loss: 1.5324 2022/07/23 02:04:59 - mmengine - INFO - Epoch(train) [46][2640/3757] lr: 1.0000e-03 eta: 13:16:13 time: 0.2377 data_time: 0.0235 memory: 6108 grad_norm: 6.0713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3593 loss: 1.3593 2022/07/23 02:05:04 - mmengine - INFO - Epoch(train) [46][2660/3757] lr: 1.0000e-03 eta: 13:16:09 time: 0.2446 data_time: 0.0226 memory: 6108 grad_norm: 6.0679 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5382 loss: 1.5382 2022/07/23 02:05:09 - mmengine - INFO - Epoch(train) [46][2680/3757] lr: 1.0000e-03 eta: 13:16:04 time: 0.2414 data_time: 0.0295 memory: 6108 grad_norm: 6.2813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5950 loss: 1.5950 2022/07/23 02:05:13 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 1.0000e-03 eta: 13:16:00 time: 0.2292 data_time: 0.0185 memory: 6108 grad_norm: 5.9514 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7085 loss: 1.7085 2022/07/23 02:05:18 - mmengine - INFO - Epoch(train) [46][2720/3757] lr: 1.0000e-03 eta: 13:15:55 time: 0.2301 data_time: 0.0276 memory: 6108 grad_norm: 6.0426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2895 loss: 1.2895 2022/07/23 02:05:22 - mmengine - INFO - Epoch(train) [46][2740/3757] lr: 1.0000e-03 eta: 13:15:50 time: 0.2259 data_time: 0.0179 memory: 6108 grad_norm: 6.0486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5724 loss: 1.5724 2022/07/23 02:05:27 - mmengine - INFO - Epoch(train) [46][2760/3757] lr: 1.0000e-03 eta: 13:15:46 time: 0.2428 data_time: 0.0227 memory: 6108 grad_norm: 6.1557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4170 loss: 1.4170 2022/07/23 02:05:32 - mmengine - INFO - Epoch(train) [46][2780/3757] lr: 1.0000e-03 eta: 13:15:41 time: 0.2329 data_time: 0.0248 memory: 6108 grad_norm: 6.1839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5459 loss: 1.5459 2022/07/23 02:05:36 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 1.0000e-03 eta: 13:15:36 time: 0.2227 data_time: 0.0218 memory: 6108 grad_norm: 6.5234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/07/23 02:05:41 - mmengine - INFO - Epoch(train) [46][2820/3757] lr: 1.0000e-03 eta: 13:15:31 time: 0.2276 data_time: 0.0196 memory: 6108 grad_norm: 6.3983 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/07/23 02:05:46 - mmengine - INFO - Epoch(train) [46][2840/3757] lr: 1.0000e-03 eta: 13:15:27 time: 0.2665 data_time: 0.0237 memory: 6108 grad_norm: 6.2285 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2806 loss: 1.2806 2022/07/23 02:05:51 - mmengine - INFO - Epoch(train) [46][2860/3757] lr: 1.0000e-03 eta: 13:15:22 time: 0.2384 data_time: 0.0322 memory: 6108 grad_norm: 6.1321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4343 loss: 1.4343 2022/07/23 02:05:56 - mmengine - INFO - Epoch(train) [46][2880/3757] lr: 1.0000e-03 eta: 13:15:18 time: 0.2474 data_time: 0.0405 memory: 6108 grad_norm: 6.1493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6302 loss: 1.6302 2022/07/23 02:06:01 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 1.0000e-03 eta: 13:15:14 time: 0.2380 data_time: 0.0345 memory: 6108 grad_norm: 6.2311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6946 loss: 1.6946 2022/07/23 02:06:05 - mmengine - INFO - Epoch(train) [46][2920/3757] lr: 1.0000e-03 eta: 13:15:09 time: 0.2251 data_time: 0.0195 memory: 6108 grad_norm: 6.1577 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5105 loss: 1.5105 2022/07/23 02:06:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:06:11 - mmengine - INFO - Epoch(train) [46][2940/3757] lr: 1.0000e-03 eta: 13:15:04 time: 0.2571 data_time: 0.0456 memory: 6108 grad_norm: 6.2838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5966 loss: 1.5966 2022/07/23 02:06:15 - mmengine - INFO - Epoch(train) [46][2960/3757] lr: 1.0000e-03 eta: 13:15:00 time: 0.2414 data_time: 0.0442 memory: 6108 grad_norm: 6.2447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6392 loss: 1.6392 2022/07/23 02:06:20 - mmengine - INFO - Epoch(train) [46][2980/3757] lr: 1.0000e-03 eta: 13:14:55 time: 0.2322 data_time: 0.0239 memory: 6108 grad_norm: 6.1218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5825 loss: 1.5825 2022/07/23 02:06:25 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 1.0000e-03 eta: 13:14:50 time: 0.2254 data_time: 0.0192 memory: 6108 grad_norm: 6.1330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/07/23 02:06:29 - mmengine - INFO - Epoch(train) [46][3020/3757] lr: 1.0000e-03 eta: 13:14:46 time: 0.2448 data_time: 0.0228 memory: 6108 grad_norm: 6.0595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4934 loss: 1.4934 2022/07/23 02:06:34 - mmengine - INFO - Epoch(train) [46][3040/3757] lr: 1.0000e-03 eta: 13:14:41 time: 0.2273 data_time: 0.0245 memory: 6108 grad_norm: 6.2899 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4357 loss: 1.4357 2022/07/23 02:06:39 - mmengine - INFO - Epoch(train) [46][3060/3757] lr: 1.0000e-03 eta: 13:14:37 time: 0.2465 data_time: 0.0257 memory: 6108 grad_norm: 6.3336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4987 loss: 1.4987 2022/07/23 02:06:44 - mmengine - INFO - Epoch(train) [46][3080/3757] lr: 1.0000e-03 eta: 13:14:32 time: 0.2416 data_time: 0.0205 memory: 6108 grad_norm: 6.3340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7476 loss: 1.7476 2022/07/23 02:06:49 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 1.0000e-03 eta: 13:14:28 time: 0.2366 data_time: 0.0224 memory: 6108 grad_norm: 6.0450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7932 loss: 1.7932 2022/07/23 02:06:53 - mmengine - INFO - Epoch(train) [46][3120/3757] lr: 1.0000e-03 eta: 13:14:23 time: 0.2265 data_time: 0.0197 memory: 6108 grad_norm: 6.3868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/23 02:06:58 - mmengine - INFO - Epoch(train) [46][3140/3757] lr: 1.0000e-03 eta: 13:14:18 time: 0.2316 data_time: 0.0211 memory: 6108 grad_norm: 6.2335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/07/23 02:07:02 - mmengine - INFO - Epoch(train) [46][3160/3757] lr: 1.0000e-03 eta: 13:14:13 time: 0.2262 data_time: 0.0210 memory: 6108 grad_norm: 6.2507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/07/23 02:07:07 - mmengine - INFO - Epoch(train) [46][3180/3757] lr: 1.0000e-03 eta: 13:14:09 time: 0.2475 data_time: 0.0218 memory: 6108 grad_norm: 6.2353 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4531 loss: 1.4531 2022/07/23 02:07:12 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 1.0000e-03 eta: 13:14:04 time: 0.2208 data_time: 0.0187 memory: 6108 grad_norm: 6.2099 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3685 loss: 1.3685 2022/07/23 02:07:16 - mmengine - INFO - Epoch(train) [46][3220/3757] lr: 1.0000e-03 eta: 13:13:59 time: 0.2251 data_time: 0.0220 memory: 6108 grad_norm: 6.3718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5205 loss: 1.5205 2022/07/23 02:07:21 - mmengine - INFO - Epoch(train) [46][3240/3757] lr: 1.0000e-03 eta: 13:13:54 time: 0.2243 data_time: 0.0165 memory: 6108 grad_norm: 6.2582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6433 loss: 1.6433 2022/07/23 02:07:26 - mmengine - INFO - Epoch(train) [46][3260/3757] lr: 1.0000e-03 eta: 13:13:50 time: 0.2497 data_time: 0.0228 memory: 6108 grad_norm: 6.2519 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4177 loss: 1.4177 2022/07/23 02:07:30 - mmengine - INFO - Epoch(train) [46][3280/3757] lr: 1.0000e-03 eta: 13:13:45 time: 0.2347 data_time: 0.0192 memory: 6108 grad_norm: 6.2121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7776 loss: 1.7776 2022/07/23 02:07:35 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 1.0000e-03 eta: 13:13:40 time: 0.2354 data_time: 0.0344 memory: 6108 grad_norm: 6.2093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4728 loss: 1.4728 2022/07/23 02:07:40 - mmengine - INFO - Epoch(train) [46][3320/3757] lr: 1.0000e-03 eta: 13:13:35 time: 0.2257 data_time: 0.0244 memory: 6108 grad_norm: 6.4283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/07/23 02:07:44 - mmengine - INFO - Epoch(train) [46][3340/3757] lr: 1.0000e-03 eta: 13:13:31 time: 0.2303 data_time: 0.0233 memory: 6108 grad_norm: 6.3090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2148 loss: 1.2148 2022/07/23 02:07:49 - mmengine - INFO - Epoch(train) [46][3360/3757] lr: 1.0000e-03 eta: 13:13:26 time: 0.2499 data_time: 0.0222 memory: 6108 grad_norm: 6.2210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3994 loss: 1.3994 2022/07/23 02:07:54 - mmengine - INFO - Epoch(train) [46][3380/3757] lr: 1.0000e-03 eta: 13:13:21 time: 0.2214 data_time: 0.0190 memory: 6108 grad_norm: 6.3151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2812 loss: 1.2812 2022/07/23 02:07:58 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 1.0000e-03 eta: 13:13:16 time: 0.2264 data_time: 0.0267 memory: 6108 grad_norm: 6.0235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4762 loss: 1.4762 2022/07/23 02:08:03 - mmengine - INFO - Epoch(train) [46][3420/3757] lr: 1.0000e-03 eta: 13:13:12 time: 0.2284 data_time: 0.0262 memory: 6108 grad_norm: 6.1047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/07/23 02:08:08 - mmengine - INFO - Epoch(train) [46][3440/3757] lr: 1.0000e-03 eta: 13:13:07 time: 0.2515 data_time: 0.0256 memory: 6108 grad_norm: 6.0605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3820 loss: 1.3820 2022/07/23 02:08:12 - mmengine - INFO - Epoch(train) [46][3460/3757] lr: 1.0000e-03 eta: 13:13:02 time: 0.2253 data_time: 0.0226 memory: 6108 grad_norm: 5.9749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4818 loss: 1.4818 2022/07/23 02:08:17 - mmengine - INFO - Epoch(train) [46][3480/3757] lr: 1.0000e-03 eta: 13:12:57 time: 0.2242 data_time: 0.0177 memory: 6108 grad_norm: 6.1579 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3707 loss: 1.3707 2022/07/23 02:08:22 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 1.0000e-03 eta: 13:12:53 time: 0.2292 data_time: 0.0225 memory: 6108 grad_norm: 6.1183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6915 loss: 1.6915 2022/07/23 02:08:26 - mmengine - INFO - Epoch(train) [46][3520/3757] lr: 1.0000e-03 eta: 13:12:48 time: 0.2266 data_time: 0.0222 memory: 6108 grad_norm: 6.1165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3582 loss: 1.3582 2022/07/23 02:08:32 - mmengine - INFO - Epoch(train) [46][3540/3757] lr: 1.0000e-03 eta: 13:12:44 time: 0.2801 data_time: 0.0194 memory: 6108 grad_norm: 6.0801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7554 loss: 1.7554 2022/07/23 02:08:36 - mmengine - INFO - Epoch(train) [46][3560/3757] lr: 1.0000e-03 eta: 13:12:39 time: 0.2315 data_time: 0.0290 memory: 6108 grad_norm: 6.1625 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/07/23 02:08:41 - mmengine - INFO - Epoch(train) [46][3580/3757] lr: 1.0000e-03 eta: 13:12:35 time: 0.2284 data_time: 0.0239 memory: 6108 grad_norm: 6.3318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4265 loss: 1.4265 2022/07/23 02:08:46 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 1.0000e-03 eta: 13:12:30 time: 0.2252 data_time: 0.0212 memory: 6108 grad_norm: 6.3824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0042 loss: 2.0042 2022/07/23 02:08:50 - mmengine - INFO - Epoch(train) [46][3620/3757] lr: 1.0000e-03 eta: 13:12:25 time: 0.2453 data_time: 0.0202 memory: 6108 grad_norm: 6.3597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6561 loss: 1.6561 2022/07/23 02:08:55 - mmengine - INFO - Epoch(train) [46][3640/3757] lr: 1.0000e-03 eta: 13:12:20 time: 0.2234 data_time: 0.0211 memory: 6108 grad_norm: 6.2353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3377 loss: 1.3377 2022/07/23 02:09:00 - mmengine - INFO - Epoch(train) [46][3660/3757] lr: 1.0000e-03 eta: 13:12:16 time: 0.2308 data_time: 0.0209 memory: 6108 grad_norm: 6.2465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6042 loss: 1.6042 2022/07/23 02:09:04 - mmengine - INFO - Epoch(train) [46][3680/3757] lr: 1.0000e-03 eta: 13:12:11 time: 0.2356 data_time: 0.0259 memory: 6108 grad_norm: 6.1760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/07/23 02:09:09 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 1.0000e-03 eta: 13:12:07 time: 0.2482 data_time: 0.0200 memory: 6108 grad_norm: 6.2263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/07/23 02:09:14 - mmengine - INFO - Epoch(train) [46][3720/3757] lr: 1.0000e-03 eta: 13:12:02 time: 0.2314 data_time: 0.0208 memory: 6108 grad_norm: 6.0856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6378 loss: 1.6378 2022/07/23 02:09:19 - mmengine - INFO - Epoch(train) [46][3740/3757] lr: 1.0000e-03 eta: 13:11:57 time: 0.2365 data_time: 0.0255 memory: 6108 grad_norm: 6.2104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5639 loss: 1.5639 2022/07/23 02:09:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:09:22 - mmengine - INFO - Epoch(train) [46][3757/3757] lr: 1.0000e-03 eta: 13:11:57 time: 0.1943 data_time: 0.0155 memory: 6108 grad_norm: 6.1924 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5053 loss: 1.5053 2022/07/23 02:09:27 - mmengine - INFO - Epoch(val) [46][20/310] eta: 0:01:20 time: 0.2770 data_time: 0.1831 memory: 1428 2022/07/23 02:09:31 - mmengine - INFO - Epoch(val) [46][40/310] eta: 0:00:47 time: 0.1749 data_time: 0.0979 memory: 1428 2022/07/23 02:09:36 - mmengine - INFO - Epoch(val) [46][60/310] eta: 0:01:00 time: 0.2412 data_time: 0.1669 memory: 1428 2022/07/23 02:09:40 - mmengine - INFO - Epoch(val) [46][80/310] eta: 0:00:46 time: 0.2015 data_time: 0.1211 memory: 1428 2022/07/23 02:09:44 - mmengine - INFO - Epoch(val) [46][100/310] eta: 0:00:47 time: 0.2249 data_time: 0.1489 memory: 1428 2022/07/23 02:09:48 - mmengine - INFO - Epoch(val) [46][120/310] eta: 0:00:37 time: 0.1984 data_time: 0.1219 memory: 1428 2022/07/23 02:09:53 - mmengine - INFO - Epoch(val) [46][140/310] eta: 0:00:36 time: 0.2154 data_time: 0.1434 memory: 1428 2022/07/23 02:09:57 - mmengine - INFO - Epoch(val) [46][160/310] eta: 0:00:33 time: 0.2255 data_time: 0.1508 memory: 1428 2022/07/23 02:10:01 - mmengine - INFO - Epoch(val) [46][180/310] eta: 0:00:24 time: 0.1900 data_time: 0.1158 memory: 1428 2022/07/23 02:10:05 - mmengine - INFO - Epoch(val) [46][200/310] eta: 0:00:22 time: 0.2083 data_time: 0.1336 memory: 1428 2022/07/23 02:10:10 - mmengine - INFO - Epoch(val) [46][220/310] eta: 0:00:22 time: 0.2538 data_time: 0.1778 memory: 1428 2022/07/23 02:10:15 - mmengine - INFO - Epoch(val) [46][240/310] eta: 0:00:16 time: 0.2360 data_time: 0.1618 memory: 1428 2022/07/23 02:10:19 - mmengine - INFO - Epoch(val) [46][260/310] eta: 0:00:10 time: 0.2007 data_time: 0.1241 memory: 1428 2022/07/23 02:10:24 - mmengine - INFO - Epoch(val) [46][280/310] eta: 0:00:06 time: 0.2320 data_time: 0.1575 memory: 1428 2022/07/23 02:10:27 - mmengine - INFO - Epoch(val) [46][300/310] eta: 0:00:01 time: 0.1861 data_time: 0.1048 memory: 1428 2022/07/23 02:10:30 - mmengine - INFO - Epoch(val) [46][310/310] acc/top1: 0.6394 acc/top5: 0.8502 acc/mean1: 0.6393 2022/07/23 02:10:36 - mmengine - INFO - Epoch(train) [47][20/3757] lr: 1.0000e-03 eta: 13:11:46 time: 0.3198 data_time: 0.0893 memory: 6108 grad_norm: 5.8979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/07/23 02:10:41 - mmengine - INFO - Epoch(train) [47][40/3757] lr: 1.0000e-03 eta: 13:11:42 time: 0.2461 data_time: 0.0200 memory: 6108 grad_norm: 6.2096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2468 loss: 1.2468 2022/07/23 02:10:46 - mmengine - INFO - Epoch(train) [47][60/3757] lr: 1.0000e-03 eta: 13:11:37 time: 0.2369 data_time: 0.0273 memory: 6108 grad_norm: 6.2075 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4413 loss: 1.4413 2022/07/23 02:10:51 - mmengine - INFO - Epoch(train) [47][80/3757] lr: 1.0000e-03 eta: 13:11:32 time: 0.2406 data_time: 0.0214 memory: 6108 grad_norm: 6.2542 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6193 loss: 1.6193 2022/07/23 02:10:55 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 1.0000e-03 eta: 13:11:27 time: 0.2260 data_time: 0.0185 memory: 6108 grad_norm: 6.3889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2481 loss: 1.2481 2022/07/23 02:11:00 - mmengine - INFO - Epoch(train) [47][120/3757] lr: 1.0000e-03 eta: 13:11:23 time: 0.2254 data_time: 0.0237 memory: 6108 grad_norm: 6.0162 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5675 loss: 1.5675 2022/07/23 02:11:05 - mmengine - INFO - Epoch(train) [47][140/3757] lr: 1.0000e-03 eta: 13:11:19 time: 0.2723 data_time: 0.0228 memory: 6108 grad_norm: 6.1633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3137 loss: 1.3137 2022/07/23 02:11:10 - mmengine - INFO - Epoch(train) [47][160/3757] lr: 1.0000e-03 eta: 13:11:15 time: 0.2507 data_time: 0.0260 memory: 6108 grad_norm: 6.3111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6342 loss: 1.6342 2022/07/23 02:11:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:11:15 - mmengine - INFO - Epoch(train) [47][180/3757] lr: 1.0000e-03 eta: 13:11:10 time: 0.2236 data_time: 0.0274 memory: 6108 grad_norm: 6.1408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3903 loss: 1.3903 2022/07/23 02:11:19 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 1.0000e-03 eta: 13:11:05 time: 0.2268 data_time: 0.0211 memory: 6108 grad_norm: 6.1758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/07/23 02:11:24 - mmengine - INFO - Epoch(train) [47][220/3757] lr: 1.0000e-03 eta: 13:11:00 time: 0.2303 data_time: 0.0255 memory: 6108 grad_norm: 6.2263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4609 loss: 1.4609 2022/07/23 02:11:29 - mmengine - INFO - Epoch(train) [47][240/3757] lr: 1.0000e-03 eta: 13:10:56 time: 0.2506 data_time: 0.0243 memory: 6108 grad_norm: 6.2418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3466 loss: 1.3466 2022/07/23 02:11:33 - mmengine - INFO - Epoch(train) [47][260/3757] lr: 1.0000e-03 eta: 13:10:51 time: 0.2243 data_time: 0.0234 memory: 6108 grad_norm: 6.1127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/07/23 02:11:38 - mmengine - INFO - Epoch(train) [47][280/3757] lr: 1.0000e-03 eta: 13:10:46 time: 0.2333 data_time: 0.0232 memory: 6108 grad_norm: 6.1193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4981 loss: 1.4981 2022/07/23 02:11:43 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 1.0000e-03 eta: 13:10:41 time: 0.2299 data_time: 0.0271 memory: 6108 grad_norm: 6.2578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3911 loss: 1.3911 2022/07/23 02:11:48 - mmengine - INFO - Epoch(train) [47][320/3757] lr: 1.0000e-03 eta: 13:10:37 time: 0.2502 data_time: 0.0320 memory: 6108 grad_norm: 6.1580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3652 loss: 1.3652 2022/07/23 02:11:52 - mmengine - INFO - Epoch(train) [47][340/3757] lr: 1.0000e-03 eta: 13:10:32 time: 0.2256 data_time: 0.0257 memory: 6108 grad_norm: 6.2925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5770 loss: 1.5770 2022/07/23 02:11:57 - mmengine - INFO - Epoch(train) [47][360/3757] lr: 1.0000e-03 eta: 13:10:27 time: 0.2264 data_time: 0.0231 memory: 6108 grad_norm: 6.4180 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1493 loss: 1.1493 2022/07/23 02:12:01 - mmengine - INFO - Epoch(train) [47][380/3757] lr: 1.0000e-03 eta: 13:10:22 time: 0.2335 data_time: 0.0259 memory: 6108 grad_norm: 6.5018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2218 loss: 1.2218 2022/07/23 02:12:06 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 1.0000e-03 eta: 13:10:18 time: 0.2387 data_time: 0.0191 memory: 6108 grad_norm: 6.2970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1624 loss: 1.1624 2022/07/23 02:12:11 - mmengine - INFO - Epoch(train) [47][420/3757] lr: 1.0000e-03 eta: 13:10:14 time: 0.2475 data_time: 0.0306 memory: 6108 grad_norm: 6.3638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6629 loss: 1.6629 2022/07/23 02:12:16 - mmengine - INFO - Epoch(train) [47][440/3757] lr: 1.0000e-03 eta: 13:10:09 time: 0.2293 data_time: 0.0280 memory: 6108 grad_norm: 6.2128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3493 loss: 1.3493 2022/07/23 02:12:20 - mmengine - INFO - Epoch(train) [47][460/3757] lr: 1.0000e-03 eta: 13:10:04 time: 0.2279 data_time: 0.0226 memory: 6108 grad_norm: 6.3507 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4425 loss: 1.4425 2022/07/23 02:12:25 - mmengine - INFO - Epoch(train) [47][480/3757] lr: 1.0000e-03 eta: 13:09:59 time: 0.2259 data_time: 0.0283 memory: 6108 grad_norm: 6.2864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5533 loss: 1.5533 2022/07/23 02:12:30 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 1.0000e-03 eta: 13:09:55 time: 0.2705 data_time: 0.0179 memory: 6108 grad_norm: 6.3557 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5463 loss: 1.5463 2022/07/23 02:12:35 - mmengine - INFO - Epoch(train) [47][520/3757] lr: 1.0000e-03 eta: 13:09:50 time: 0.2273 data_time: 0.0232 memory: 6108 grad_norm: 6.3456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/07/23 02:12:40 - mmengine - INFO - Epoch(train) [47][540/3757] lr: 1.0000e-03 eta: 13:09:46 time: 0.2309 data_time: 0.0252 memory: 6108 grad_norm: 6.3824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5886 loss: 1.5886 2022/07/23 02:12:45 - mmengine - INFO - Epoch(train) [47][560/3757] lr: 1.0000e-03 eta: 13:09:41 time: 0.2549 data_time: 0.0192 memory: 6108 grad_norm: 6.1469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2730 loss: 1.2730 2022/07/23 02:12:50 - mmengine - INFO - Epoch(train) [47][580/3757] lr: 1.0000e-03 eta: 13:09:37 time: 0.2438 data_time: 0.0223 memory: 6108 grad_norm: 6.3819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3721 loss: 1.3721 2022/07/23 02:12:54 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 1.0000e-03 eta: 13:09:32 time: 0.2243 data_time: 0.0259 memory: 6108 grad_norm: 6.0588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5715 loss: 1.5715 2022/07/23 02:12:59 - mmengine - INFO - Epoch(train) [47][620/3757] lr: 1.0000e-03 eta: 13:09:27 time: 0.2281 data_time: 0.0264 memory: 6108 grad_norm: 6.1923 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5904 loss: 1.5904 2022/07/23 02:13:03 - mmengine - INFO - Epoch(train) [47][640/3757] lr: 1.0000e-03 eta: 13:09:22 time: 0.2249 data_time: 0.0214 memory: 6108 grad_norm: 6.2665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3806 loss: 1.3806 2022/07/23 02:13:08 - mmengine - INFO - Epoch(train) [47][660/3757] lr: 1.0000e-03 eta: 13:09:18 time: 0.2403 data_time: 0.0214 memory: 6108 grad_norm: 6.0170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/07/23 02:13:12 - mmengine - INFO - Epoch(train) [47][680/3757] lr: 1.0000e-03 eta: 13:09:13 time: 0.2219 data_time: 0.0194 memory: 6108 grad_norm: 6.5152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/07/23 02:13:17 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 1.0000e-03 eta: 13:09:08 time: 0.2399 data_time: 0.0230 memory: 6108 grad_norm: 6.3388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4063 loss: 1.4063 2022/07/23 02:13:22 - mmengine - INFO - Epoch(train) [47][720/3757] lr: 1.0000e-03 eta: 13:09:04 time: 0.2407 data_time: 0.0267 memory: 6108 grad_norm: 6.0765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6469 loss: 1.6469 2022/07/23 02:13:27 - mmengine - INFO - Epoch(train) [47][740/3757] lr: 1.0000e-03 eta: 13:08:59 time: 0.2339 data_time: 0.0212 memory: 6108 grad_norm: 6.0946 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5318 loss: 1.5318 2022/07/23 02:13:31 - mmengine - INFO - Epoch(train) [47][760/3757] lr: 1.0000e-03 eta: 13:08:54 time: 0.2376 data_time: 0.0187 memory: 6108 grad_norm: 6.1728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6156 loss: 1.6156 2022/07/23 02:13:36 - mmengine - INFO - Epoch(train) [47][780/3757] lr: 1.0000e-03 eta: 13:08:50 time: 0.2373 data_time: 0.0231 memory: 6108 grad_norm: 6.1652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5043 loss: 1.5043 2022/07/23 02:13:41 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 1.0000e-03 eta: 13:08:45 time: 0.2266 data_time: 0.0243 memory: 6108 grad_norm: 6.1913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/07/23 02:13:45 - mmengine - INFO - Epoch(train) [47][820/3757] lr: 1.0000e-03 eta: 13:08:40 time: 0.2266 data_time: 0.0224 memory: 6108 grad_norm: 6.1732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5338 loss: 1.5338 2022/07/23 02:13:50 - mmengine - INFO - Epoch(train) [47][840/3757] lr: 1.0000e-03 eta: 13:08:36 time: 0.2483 data_time: 0.0199 memory: 6108 grad_norm: 6.2964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7634 loss: 1.7634 2022/07/23 02:13:55 - mmengine - INFO - Epoch(train) [47][860/3757] lr: 1.0000e-03 eta: 13:08:31 time: 0.2248 data_time: 0.0229 memory: 6108 grad_norm: 6.0898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3233 loss: 1.3233 2022/07/23 02:14:00 - mmengine - INFO - Epoch(train) [47][880/3757] lr: 1.0000e-03 eta: 13:08:26 time: 0.2416 data_time: 0.0232 memory: 6108 grad_norm: 6.2223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/07/23 02:14:04 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 1.0000e-03 eta: 13:08:21 time: 0.2232 data_time: 0.0248 memory: 6108 grad_norm: 6.2722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5009 loss: 1.5009 2022/07/23 02:14:09 - mmengine - INFO - Epoch(train) [47][920/3757] lr: 1.0000e-03 eta: 13:08:17 time: 0.2441 data_time: 0.0242 memory: 6108 grad_norm: 6.3388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4511 loss: 1.4511 2022/07/23 02:14:14 - mmengine - INFO - Epoch(train) [47][940/3757] lr: 1.0000e-03 eta: 13:08:12 time: 0.2254 data_time: 0.0204 memory: 6108 grad_norm: 6.1128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3673 loss: 1.3673 2022/07/23 02:14:18 - mmengine - INFO - Epoch(train) [47][960/3757] lr: 1.0000e-03 eta: 13:08:07 time: 0.2235 data_time: 0.0244 memory: 6108 grad_norm: 6.3482 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6238 loss: 1.6238 2022/07/23 02:14:23 - mmengine - INFO - Epoch(train) [47][980/3757] lr: 1.0000e-03 eta: 13:08:02 time: 0.2352 data_time: 0.0205 memory: 6108 grad_norm: 6.1962 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2818 loss: 1.2818 2022/07/23 02:14:28 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 1.0000e-03 eta: 13:07:58 time: 0.2399 data_time: 0.0199 memory: 6108 grad_norm: 6.1081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5432 loss: 1.5432 2022/07/23 02:14:32 - mmengine - INFO - Epoch(train) [47][1020/3757] lr: 1.0000e-03 eta: 13:07:53 time: 0.2421 data_time: 0.0277 memory: 6108 grad_norm: 6.3807 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6054 loss: 1.6054 2022/07/23 02:14:37 - mmengine - INFO - Epoch(train) [47][1040/3757] lr: 1.0000e-03 eta: 13:07:48 time: 0.2232 data_time: 0.0171 memory: 6108 grad_norm: 6.0385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/23 02:14:42 - mmengine - INFO - Epoch(train) [47][1060/3757] lr: 1.0000e-03 eta: 13:07:44 time: 0.2494 data_time: 0.0159 memory: 6108 grad_norm: 6.4497 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5056 loss: 1.5056 2022/07/23 02:14:47 - mmengine - INFO - Epoch(train) [47][1080/3757] lr: 1.0000e-03 eta: 13:07:39 time: 0.2289 data_time: 0.0255 memory: 6108 grad_norm: 6.3894 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3881 loss: 1.3881 2022/07/23 02:14:51 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 1.0000e-03 eta: 13:07:34 time: 0.2200 data_time: 0.0182 memory: 6108 grad_norm: 6.4336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6427 loss: 1.6427 2022/07/23 02:14:56 - mmengine - INFO - Epoch(train) [47][1120/3757] lr: 1.0000e-03 eta: 13:07:30 time: 0.2338 data_time: 0.0314 memory: 6108 grad_norm: 6.3868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7530 loss: 1.7530 2022/07/23 02:15:01 - mmengine - INFO - Epoch(train) [47][1140/3757] lr: 1.0000e-03 eta: 13:07:25 time: 0.2536 data_time: 0.0255 memory: 6108 grad_norm: 6.1344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3101 loss: 1.3101 2022/07/23 02:15:05 - mmengine - INFO - Epoch(train) [47][1160/3757] lr: 1.0000e-03 eta: 13:07:20 time: 0.2247 data_time: 0.0226 memory: 6108 grad_norm: 6.2330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5881 loss: 1.5881 2022/07/23 02:15:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:15:10 - mmengine - INFO - Epoch(train) [47][1180/3757] lr: 1.0000e-03 eta: 13:07:16 time: 0.2256 data_time: 0.0197 memory: 6108 grad_norm: 6.0142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3776 loss: 1.3776 2022/07/23 02:15:14 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 1.0000e-03 eta: 13:07:11 time: 0.2273 data_time: 0.0241 memory: 6108 grad_norm: 6.1258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4214 loss: 1.4214 2022/07/23 02:15:19 - mmengine - INFO - Epoch(train) [47][1220/3757] lr: 1.0000e-03 eta: 13:07:06 time: 0.2402 data_time: 0.0218 memory: 6108 grad_norm: 5.9874 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5474 loss: 1.5474 2022/07/23 02:15:24 - mmengine - INFO - Epoch(train) [47][1240/3757] lr: 1.0000e-03 eta: 13:07:01 time: 0.2241 data_time: 0.0179 memory: 6108 grad_norm: 6.1080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3316 loss: 1.3316 2022/07/23 02:15:28 - mmengine - INFO - Epoch(train) [47][1260/3757] lr: 1.0000e-03 eta: 13:06:56 time: 0.2294 data_time: 0.0217 memory: 6108 grad_norm: 6.1123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4131 loss: 1.4131 2022/07/23 02:15:33 - mmengine - INFO - Epoch(train) [47][1280/3757] lr: 1.0000e-03 eta: 13:06:52 time: 0.2238 data_time: 0.0222 memory: 6108 grad_norm: 6.3464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4892 loss: 1.4892 2022/07/23 02:15:38 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 1.0000e-03 eta: 13:06:47 time: 0.2405 data_time: 0.0222 memory: 6108 grad_norm: 6.2664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5827 loss: 1.5827 2022/07/23 02:15:42 - mmengine - INFO - Epoch(train) [47][1320/3757] lr: 1.0000e-03 eta: 13:06:42 time: 0.2336 data_time: 0.0213 memory: 6108 grad_norm: 6.1974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2115 loss: 1.2115 2022/07/23 02:15:47 - mmengine - INFO - Epoch(train) [47][1340/3757] lr: 1.0000e-03 eta: 13:06:38 time: 0.2359 data_time: 0.0220 memory: 6108 grad_norm: 6.1809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/07/23 02:15:52 - mmengine - INFO - Epoch(train) [47][1360/3757] lr: 1.0000e-03 eta: 13:06:33 time: 0.2260 data_time: 0.0251 memory: 6108 grad_norm: 6.3262 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7967 loss: 1.7967 2022/07/23 02:15:56 - mmengine - INFO - Epoch(train) [47][1380/3757] lr: 1.0000e-03 eta: 13:06:28 time: 0.2263 data_time: 0.0247 memory: 6108 grad_norm: 6.0734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5409 loss: 1.5409 2022/07/23 02:16:01 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 1.0000e-03 eta: 13:06:23 time: 0.2389 data_time: 0.0208 memory: 6108 grad_norm: 6.3211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5298 loss: 1.5298 2022/07/23 02:16:06 - mmengine - INFO - Epoch(train) [47][1420/3757] lr: 1.0000e-03 eta: 13:06:19 time: 0.2466 data_time: 0.0208 memory: 6108 grad_norm: 6.1969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5473 loss: 1.5473 2022/07/23 02:16:11 - mmengine - INFO - Epoch(train) [47][1440/3757] lr: 1.0000e-03 eta: 13:06:14 time: 0.2355 data_time: 0.0208 memory: 6108 grad_norm: 6.1581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4012 loss: 1.4012 2022/07/23 02:16:15 - mmengine - INFO - Epoch(train) [47][1460/3757] lr: 1.0000e-03 eta: 13:06:09 time: 0.2251 data_time: 0.0264 memory: 6108 grad_norm: 6.2489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3643 loss: 1.3643 2022/07/23 02:16:20 - mmengine - INFO - Epoch(train) [47][1480/3757] lr: 1.0000e-03 eta: 13:06:05 time: 0.2255 data_time: 0.0199 memory: 6108 grad_norm: 6.2958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6887 loss: 1.6887 2022/07/23 02:16:24 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 1.0000e-03 eta: 13:06:00 time: 0.2258 data_time: 0.0232 memory: 6108 grad_norm: 6.0694 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9438 loss: 1.9438 2022/07/23 02:16:29 - mmengine - INFO - Epoch(train) [47][1520/3757] lr: 1.0000e-03 eta: 13:05:55 time: 0.2320 data_time: 0.0216 memory: 6108 grad_norm: 6.2658 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5801 loss: 1.5801 2022/07/23 02:16:34 - mmengine - INFO - Epoch(train) [47][1540/3757] lr: 1.0000e-03 eta: 13:05:51 time: 0.2488 data_time: 0.0487 memory: 6108 grad_norm: 6.2235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6602 loss: 1.6602 2022/07/23 02:16:38 - mmengine - INFO - Epoch(train) [47][1560/3757] lr: 1.0000e-03 eta: 13:05:46 time: 0.2297 data_time: 0.0281 memory: 6108 grad_norm: 6.2424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3145 loss: 1.3145 2022/07/23 02:16:43 - mmengine - INFO - Epoch(train) [47][1580/3757] lr: 1.0000e-03 eta: 13:05:41 time: 0.2304 data_time: 0.0249 memory: 6108 grad_norm: 6.4525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/07/23 02:16:48 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 1.0000e-03 eta: 13:05:36 time: 0.2331 data_time: 0.0258 memory: 6108 grad_norm: 6.1498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5431 loss: 1.5431 2022/07/23 02:16:52 - mmengine - INFO - Epoch(train) [47][1620/3757] lr: 1.0000e-03 eta: 13:05:32 time: 0.2302 data_time: 0.0210 memory: 6108 grad_norm: 6.2813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5623 loss: 1.5623 2022/07/23 02:16:57 - mmengine - INFO - Epoch(train) [47][1640/3757] lr: 1.0000e-03 eta: 13:05:27 time: 0.2325 data_time: 0.0182 memory: 6108 grad_norm: 6.1132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6818 loss: 1.6818 2022/07/23 02:17:02 - mmengine - INFO - Epoch(train) [47][1660/3757] lr: 1.0000e-03 eta: 13:05:22 time: 0.2330 data_time: 0.0233 memory: 6108 grad_norm: 6.2766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5084 loss: 1.5084 2022/07/23 02:17:06 - mmengine - INFO - Epoch(train) [47][1680/3757] lr: 1.0000e-03 eta: 13:05:17 time: 0.2267 data_time: 0.0244 memory: 6108 grad_norm: 6.2031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5682 loss: 1.5682 2022/07/23 02:17:11 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 1.0000e-03 eta: 13:05:12 time: 0.2310 data_time: 0.0245 memory: 6108 grad_norm: 6.2464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3588 loss: 1.3588 2022/07/23 02:17:16 - mmengine - INFO - Epoch(train) [47][1720/3757] lr: 1.0000e-03 eta: 13:05:08 time: 0.2317 data_time: 0.0232 memory: 6108 grad_norm: 6.3469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5967 loss: 1.5967 2022/07/23 02:17:20 - mmengine - INFO - Epoch(train) [47][1740/3757] lr: 1.0000e-03 eta: 13:05:03 time: 0.2402 data_time: 0.0283 memory: 6108 grad_norm: 6.6021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3657 loss: 1.3657 2022/07/23 02:17:25 - mmengine - INFO - Epoch(train) [47][1760/3757] lr: 1.0000e-03 eta: 13:04:59 time: 0.2432 data_time: 0.0217 memory: 6108 grad_norm: 6.1339 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4031 loss: 1.4031 2022/07/23 02:17:30 - mmengine - INFO - Epoch(train) [47][1780/3757] lr: 1.0000e-03 eta: 13:04:54 time: 0.2379 data_time: 0.0259 memory: 6108 grad_norm: 6.3691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6261 loss: 1.6261 2022/07/23 02:17:35 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 1.0000e-03 eta: 13:04:50 time: 0.2567 data_time: 0.0242 memory: 6108 grad_norm: 6.3418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/07/23 02:17:40 - mmengine - INFO - Epoch(train) [47][1820/3757] lr: 1.0000e-03 eta: 13:04:45 time: 0.2179 data_time: 0.0208 memory: 6108 grad_norm: 6.3067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7593 loss: 1.7593 2022/07/23 02:17:44 - mmengine - INFO - Epoch(train) [47][1840/3757] lr: 1.0000e-03 eta: 13:04:40 time: 0.2300 data_time: 0.0219 memory: 6108 grad_norm: 6.3873 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5268 loss: 1.5268 2022/07/23 02:17:49 - mmengine - INFO - Epoch(train) [47][1860/3757] lr: 1.0000e-03 eta: 13:04:36 time: 0.2411 data_time: 0.0249 memory: 6108 grad_norm: 6.2705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/07/23 02:17:53 - mmengine - INFO - Epoch(train) [47][1880/3757] lr: 1.0000e-03 eta: 13:04:31 time: 0.2239 data_time: 0.0184 memory: 6108 grad_norm: 6.3991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2559 loss: 1.2559 2022/07/23 02:17:58 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 1.0000e-03 eta: 13:04:26 time: 0.2340 data_time: 0.0192 memory: 6108 grad_norm: 6.3938 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3733 loss: 1.3733 2022/07/23 02:18:03 - mmengine - INFO - Epoch(train) [47][1920/3757] lr: 1.0000e-03 eta: 13:04:21 time: 0.2269 data_time: 0.0251 memory: 6108 grad_norm: 6.1675 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4161 loss: 1.4161 2022/07/23 02:18:08 - mmengine - INFO - Epoch(train) [47][1940/3757] lr: 1.0000e-03 eta: 13:04:17 time: 0.2733 data_time: 0.0192 memory: 6108 grad_norm: 6.2690 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/07/23 02:18:13 - mmengine - INFO - Epoch(train) [47][1960/3757] lr: 1.0000e-03 eta: 13:04:12 time: 0.2199 data_time: 0.0212 memory: 6108 grad_norm: 6.4503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/07/23 02:18:17 - mmengine - INFO - Epoch(train) [47][1980/3757] lr: 1.0000e-03 eta: 13:04:07 time: 0.2218 data_time: 0.0204 memory: 6108 grad_norm: 6.4367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4321 loss: 1.4321 2022/07/23 02:18:22 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 1.0000e-03 eta: 13:04:03 time: 0.2285 data_time: 0.0236 memory: 6108 grad_norm: 6.1683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4065 loss: 1.4065 2022/07/23 02:18:26 - mmengine - INFO - Epoch(train) [47][2020/3757] lr: 1.0000e-03 eta: 13:03:58 time: 0.2313 data_time: 0.0276 memory: 6108 grad_norm: 6.2946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5432 loss: 1.5432 2022/07/23 02:18:31 - mmengine - INFO - Epoch(train) [47][2040/3757] lr: 1.0000e-03 eta: 13:03:53 time: 0.2431 data_time: 0.0286 memory: 6108 grad_norm: 6.3463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5993 loss: 1.5993 2022/07/23 02:18:36 - mmengine - INFO - Epoch(train) [47][2060/3757] lr: 1.0000e-03 eta: 13:03:49 time: 0.2519 data_time: 0.0255 memory: 6108 grad_norm: 6.3037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/07/23 02:18:41 - mmengine - INFO - Epoch(train) [47][2080/3757] lr: 1.0000e-03 eta: 13:03:44 time: 0.2215 data_time: 0.0222 memory: 6108 grad_norm: 5.9459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5077 loss: 1.5077 2022/07/23 02:18:45 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 1.0000e-03 eta: 13:03:39 time: 0.2298 data_time: 0.0212 memory: 6108 grad_norm: 6.5173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6105 loss: 1.6105 2022/07/23 02:18:50 - mmengine - INFO - Epoch(train) [47][2120/3757] lr: 1.0000e-03 eta: 13:03:35 time: 0.2511 data_time: 0.0227 memory: 6108 grad_norm: 6.2901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3488 loss: 1.3488 2022/07/23 02:18:55 - mmengine - INFO - Epoch(train) [47][2140/3757] lr: 1.0000e-03 eta: 13:03:30 time: 0.2256 data_time: 0.0248 memory: 6108 grad_norm: 6.1719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5960 loss: 1.5960 2022/07/23 02:19:00 - mmengine - INFO - Epoch(train) [47][2160/3757] lr: 1.0000e-03 eta: 13:03:25 time: 0.2318 data_time: 0.0256 memory: 6108 grad_norm: 6.3715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4607 loss: 1.4607 2022/07/23 02:19:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:19:04 - mmengine - INFO - Epoch(train) [47][2180/3757] lr: 1.0000e-03 eta: 13:03:21 time: 0.2318 data_time: 0.0194 memory: 6108 grad_norm: 6.1882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3325 loss: 1.3325 2022/07/23 02:19:09 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 1.0000e-03 eta: 13:03:16 time: 0.2438 data_time: 0.0215 memory: 6108 grad_norm: 6.0701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5146 loss: 1.5146 2022/07/23 02:19:14 - mmengine - INFO - Epoch(train) [47][2220/3757] lr: 1.0000e-03 eta: 13:03:11 time: 0.2257 data_time: 0.0221 memory: 6108 grad_norm: 6.1196 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5012 loss: 1.5012 2022/07/23 02:19:18 - mmengine - INFO - Epoch(train) [47][2240/3757] lr: 1.0000e-03 eta: 13:03:06 time: 0.2228 data_time: 0.0219 memory: 6108 grad_norm: 6.2305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5247 loss: 1.5247 2022/07/23 02:19:23 - mmengine - INFO - Epoch(train) [47][2260/3757] lr: 1.0000e-03 eta: 13:03:02 time: 0.2318 data_time: 0.0239 memory: 6108 grad_norm: 6.3796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5370 loss: 1.5370 2022/07/23 02:19:28 - mmengine - INFO - Epoch(train) [47][2280/3757] lr: 1.0000e-03 eta: 13:02:58 time: 0.2799 data_time: 0.0233 memory: 6108 grad_norm: 6.0939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4049 loss: 1.4049 2022/07/23 02:19:33 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 1.0000e-03 eta: 13:02:53 time: 0.2243 data_time: 0.0236 memory: 6108 grad_norm: 6.2878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4947 loss: 1.4947 2022/07/23 02:19:37 - mmengine - INFO - Epoch(train) [47][2320/3757] lr: 1.0000e-03 eta: 13:02:48 time: 0.2240 data_time: 0.0199 memory: 6108 grad_norm: 6.2237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5123 loss: 1.5123 2022/07/23 02:19:42 - mmengine - INFO - Epoch(train) [47][2340/3757] lr: 1.0000e-03 eta: 13:02:43 time: 0.2283 data_time: 0.0248 memory: 6108 grad_norm: 6.1133 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7021 loss: 1.7021 2022/07/23 02:19:47 - mmengine - INFO - Epoch(train) [47][2360/3757] lr: 1.0000e-03 eta: 13:02:39 time: 0.2619 data_time: 0.0198 memory: 6108 grad_norm: 6.4832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8752 loss: 1.8752 2022/07/23 02:19:52 - mmengine - INFO - Epoch(train) [47][2380/3757] lr: 1.0000e-03 eta: 13:02:34 time: 0.2311 data_time: 0.0231 memory: 6108 grad_norm: 6.4382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5249 loss: 1.5249 2022/07/23 02:19:57 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 1.0000e-03 eta: 13:02:30 time: 0.2321 data_time: 0.0281 memory: 6108 grad_norm: 6.1059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6399 loss: 1.6399 2022/07/23 02:20:01 - mmengine - INFO - Epoch(train) [47][2420/3757] lr: 1.0000e-03 eta: 13:02:25 time: 0.2287 data_time: 0.0233 memory: 6108 grad_norm: 6.3109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/07/23 02:20:06 - mmengine - INFO - Epoch(train) [47][2440/3757] lr: 1.0000e-03 eta: 13:02:20 time: 0.2310 data_time: 0.0213 memory: 6108 grad_norm: 6.3989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2654 loss: 1.2654 2022/07/23 02:20:10 - mmengine - INFO - Epoch(train) [47][2460/3757] lr: 1.0000e-03 eta: 13:02:15 time: 0.2282 data_time: 0.0243 memory: 6108 grad_norm: 6.1417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6122 loss: 1.6122 2022/07/23 02:20:15 - mmengine - INFO - Epoch(train) [47][2480/3757] lr: 1.0000e-03 eta: 13:02:10 time: 0.2223 data_time: 0.0213 memory: 6108 grad_norm: 6.5410 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5699 loss: 1.5699 2022/07/23 02:20:20 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 1.0000e-03 eta: 13:02:06 time: 0.2660 data_time: 0.0221 memory: 6108 grad_norm: 6.1841 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4044 loss: 1.4044 2022/07/23 02:20:25 - mmengine - INFO - Epoch(train) [47][2520/3757] lr: 1.0000e-03 eta: 13:02:02 time: 0.2239 data_time: 0.0204 memory: 6108 grad_norm: 6.2650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7356 loss: 1.7356 2022/07/23 02:20:29 - mmengine - INFO - Epoch(train) [47][2540/3757] lr: 1.0000e-03 eta: 13:01:57 time: 0.2305 data_time: 0.0228 memory: 6108 grad_norm: 6.2879 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4501 loss: 1.4501 2022/07/23 02:20:34 - mmengine - INFO - Epoch(train) [47][2560/3757] lr: 1.0000e-03 eta: 13:01:52 time: 0.2274 data_time: 0.0240 memory: 6108 grad_norm: 6.3921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/07/23 02:20:38 - mmengine - INFO - Epoch(train) [47][2580/3757] lr: 1.0000e-03 eta: 13:01:47 time: 0.2331 data_time: 0.0195 memory: 6108 grad_norm: 6.1757 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6326 loss: 1.6326 2022/07/23 02:20:44 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 1.0000e-03 eta: 13:01:44 time: 0.2764 data_time: 0.0208 memory: 6108 grad_norm: 6.3298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5126 loss: 1.5126 2022/07/23 02:20:49 - mmengine - INFO - Epoch(train) [47][2620/3757] lr: 1.0000e-03 eta: 13:01:39 time: 0.2442 data_time: 0.0228 memory: 6108 grad_norm: 6.2429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8530 loss: 1.8530 2022/07/23 02:20:54 - mmengine - INFO - Epoch(train) [47][2640/3757] lr: 1.0000e-03 eta: 13:01:34 time: 0.2298 data_time: 0.0241 memory: 6108 grad_norm: 6.2362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3988 loss: 1.3988 2022/07/23 02:20:58 - mmengine - INFO - Epoch(train) [47][2660/3757] lr: 1.0000e-03 eta: 13:01:30 time: 0.2329 data_time: 0.0294 memory: 6108 grad_norm: 6.3261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5128 loss: 1.5128 2022/07/23 02:21:03 - mmengine - INFO - Epoch(train) [47][2680/3757] lr: 1.0000e-03 eta: 13:01:25 time: 0.2291 data_time: 0.0245 memory: 6108 grad_norm: 6.0957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7016 loss: 1.7016 2022/07/23 02:21:07 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 1.0000e-03 eta: 13:01:20 time: 0.2271 data_time: 0.0220 memory: 6108 grad_norm: 6.1272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5630 loss: 1.5630 2022/07/23 02:21:12 - mmengine - INFO - Epoch(train) [47][2720/3757] lr: 1.0000e-03 eta: 13:01:15 time: 0.2440 data_time: 0.0220 memory: 6108 grad_norm: 6.2833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4703 loss: 1.4703 2022/07/23 02:21:17 - mmengine - INFO - Epoch(train) [47][2740/3757] lr: 1.0000e-03 eta: 13:01:11 time: 0.2281 data_time: 0.0190 memory: 6108 grad_norm: 6.1243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5420 loss: 1.5420 2022/07/23 02:21:21 - mmengine - INFO - Epoch(train) [47][2760/3757] lr: 1.0000e-03 eta: 13:01:06 time: 0.2261 data_time: 0.0297 memory: 6108 grad_norm: 6.0769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5025 loss: 1.5025 2022/07/23 02:21:26 - mmengine - INFO - Epoch(train) [47][2780/3757] lr: 1.0000e-03 eta: 13:01:01 time: 0.2435 data_time: 0.0233 memory: 6108 grad_norm: 6.2090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5165 loss: 1.5165 2022/07/23 02:21:31 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 1.0000e-03 eta: 13:00:57 time: 0.2390 data_time: 0.0205 memory: 6108 grad_norm: 6.4360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/07/23 02:21:36 - mmengine - INFO - Epoch(train) [47][2820/3757] lr: 1.0000e-03 eta: 13:00:52 time: 0.2253 data_time: 0.0283 memory: 6108 grad_norm: 6.4176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/07/23 02:21:40 - mmengine - INFO - Epoch(train) [47][2840/3757] lr: 1.0000e-03 eta: 13:00:47 time: 0.2250 data_time: 0.0179 memory: 6108 grad_norm: 6.2504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6231 loss: 1.6231 2022/07/23 02:21:45 - mmengine - INFO - Epoch(train) [47][2860/3757] lr: 1.0000e-03 eta: 13:00:42 time: 0.2365 data_time: 0.0240 memory: 6108 grad_norm: 6.5522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3439 loss: 1.3439 2022/07/23 02:21:50 - mmengine - INFO - Epoch(train) [47][2880/3757] lr: 1.0000e-03 eta: 13:00:38 time: 0.2396 data_time: 0.0222 memory: 6108 grad_norm: 6.1884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8569 loss: 1.8569 2022/07/23 02:21:54 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 1.0000e-03 eta: 13:00:33 time: 0.2238 data_time: 0.0230 memory: 6108 grad_norm: 6.2153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4641 loss: 1.4641 2022/07/23 02:21:59 - mmengine - INFO - Epoch(train) [47][2920/3757] lr: 1.0000e-03 eta: 13:00:28 time: 0.2217 data_time: 0.0184 memory: 6108 grad_norm: 6.2641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/07/23 02:22:03 - mmengine - INFO - Epoch(train) [47][2940/3757] lr: 1.0000e-03 eta: 13:00:23 time: 0.2357 data_time: 0.0313 memory: 6108 grad_norm: 6.4812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4669 loss: 1.4669 2022/07/23 02:22:08 - mmengine - INFO - Epoch(train) [47][2960/3757] lr: 1.0000e-03 eta: 13:00:19 time: 0.2464 data_time: 0.0211 memory: 6108 grad_norm: 6.3166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6475 loss: 1.6475 2022/07/23 02:22:13 - mmengine - INFO - Epoch(train) [47][2980/3757] lr: 1.0000e-03 eta: 13:00:14 time: 0.2255 data_time: 0.0222 memory: 6108 grad_norm: 6.2869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7146 loss: 1.7146 2022/07/23 02:22:18 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 1.0000e-03 eta: 13:00:09 time: 0.2389 data_time: 0.0279 memory: 6108 grad_norm: 6.2640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3660 loss: 1.3660 2022/07/23 02:22:22 - mmengine - INFO - Epoch(train) [47][3020/3757] lr: 1.0000e-03 eta: 13:00:04 time: 0.2262 data_time: 0.0192 memory: 6108 grad_norm: 6.0474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2683 loss: 1.2683 2022/07/23 02:22:27 - mmengine - INFO - Epoch(train) [47][3040/3757] lr: 1.0000e-03 eta: 13:00:00 time: 0.2386 data_time: 0.0385 memory: 6108 grad_norm: 6.3728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5904 loss: 1.5904 2022/07/23 02:22:32 - mmengine - INFO - Epoch(train) [47][3060/3757] lr: 1.0000e-03 eta: 12:59:56 time: 0.2507 data_time: 0.0236 memory: 6108 grad_norm: 6.3895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5170 loss: 1.5170 2022/07/23 02:22:37 - mmengine - INFO - Epoch(train) [47][3080/3757] lr: 1.0000e-03 eta: 12:59:51 time: 0.2272 data_time: 0.0227 memory: 6108 grad_norm: 6.1634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7394 loss: 1.7394 2022/07/23 02:22:41 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 1.0000e-03 eta: 12:59:46 time: 0.2239 data_time: 0.0177 memory: 6108 grad_norm: 6.4179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2435 loss: 1.2435 2022/07/23 02:22:46 - mmengine - INFO - Epoch(train) [47][3120/3757] lr: 1.0000e-03 eta: 12:59:41 time: 0.2222 data_time: 0.0227 memory: 6108 grad_norm: 6.4716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5594 loss: 1.5594 2022/07/23 02:22:51 - mmengine - INFO - Epoch(train) [47][3140/3757] lr: 1.0000e-03 eta: 12:59:37 time: 0.2596 data_time: 0.0198 memory: 6108 grad_norm: 6.2178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5921 loss: 1.5921 2022/07/23 02:22:55 - mmengine - INFO - Epoch(train) [47][3160/3757] lr: 1.0000e-03 eta: 12:59:32 time: 0.2207 data_time: 0.0232 memory: 6108 grad_norm: 6.2030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3601 loss: 1.3601 2022/07/23 02:22:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:23:00 - mmengine - INFO - Epoch(train) [47][3180/3757] lr: 1.0000e-03 eta: 12:59:27 time: 0.2327 data_time: 0.0277 memory: 6108 grad_norm: 6.2967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1357 loss: 1.1357 2022/07/23 02:23:05 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 1.0000e-03 eta: 12:59:22 time: 0.2376 data_time: 0.0185 memory: 6108 grad_norm: 6.2124 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8108 loss: 1.8108 2022/07/23 02:23:09 - mmengine - INFO - Epoch(train) [47][3220/3757] lr: 1.0000e-03 eta: 12:59:17 time: 0.2220 data_time: 0.0221 memory: 6108 grad_norm: 6.2112 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3029 loss: 1.3029 2022/07/23 02:23:14 - mmengine - INFO - Epoch(train) [47][3240/3757] lr: 1.0000e-03 eta: 12:59:13 time: 0.2310 data_time: 0.0256 memory: 6108 grad_norm: 5.9703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/07/23 02:23:18 - mmengine - INFO - Epoch(train) [47][3260/3757] lr: 1.0000e-03 eta: 12:59:08 time: 0.2289 data_time: 0.0212 memory: 6108 grad_norm: 6.5735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3494 loss: 1.3494 2022/07/23 02:23:23 - mmengine - INFO - Epoch(train) [47][3280/3757] lr: 1.0000e-03 eta: 12:59:03 time: 0.2411 data_time: 0.0230 memory: 6108 grad_norm: 6.2009 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2589 loss: 1.2589 2022/07/23 02:23:28 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 1.0000e-03 eta: 12:58:58 time: 0.2234 data_time: 0.0215 memory: 6108 grad_norm: 6.4597 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9629 loss: 1.9629 2022/07/23 02:23:32 - mmengine - INFO - Epoch(train) [47][3320/3757] lr: 1.0000e-03 eta: 12:58:54 time: 0.2349 data_time: 0.0225 memory: 6108 grad_norm: 6.2035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3936 loss: 1.3936 2022/07/23 02:23:37 - mmengine - INFO - Epoch(train) [47][3340/3757] lr: 1.0000e-03 eta: 12:58:49 time: 0.2314 data_time: 0.0242 memory: 6108 grad_norm: 6.3016 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6945 loss: 1.6945 2022/07/23 02:23:42 - mmengine - INFO - Epoch(train) [47][3360/3757] lr: 1.0000e-03 eta: 12:58:45 time: 0.2515 data_time: 0.0261 memory: 6108 grad_norm: 6.3897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6060 loss: 1.6060 2022/07/23 02:23:47 - mmengine - INFO - Epoch(train) [47][3380/3757] lr: 1.0000e-03 eta: 12:58:40 time: 0.2340 data_time: 0.0229 memory: 6108 grad_norm: 6.2994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6945 loss: 1.6945 2022/07/23 02:23:51 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 1.0000e-03 eta: 12:58:35 time: 0.2375 data_time: 0.0205 memory: 6108 grad_norm: 6.2518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6151 loss: 1.6151 2022/07/23 02:23:56 - mmengine - INFO - Epoch(train) [47][3420/3757] lr: 1.0000e-03 eta: 12:58:30 time: 0.2211 data_time: 0.0242 memory: 6108 grad_norm: 6.2349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4320 loss: 1.4320 2022/07/23 02:24:01 - mmengine - INFO - Epoch(train) [47][3440/3757] lr: 1.0000e-03 eta: 12:58:26 time: 0.2389 data_time: 0.0189 memory: 6108 grad_norm: 6.2905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5459 loss: 1.5459 2022/07/23 02:24:05 - mmengine - INFO - Epoch(train) [47][3460/3757] lr: 1.0000e-03 eta: 12:58:21 time: 0.2279 data_time: 0.0301 memory: 6108 grad_norm: 6.5061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6621 loss: 1.6621 2022/07/23 02:24:10 - mmengine - INFO - Epoch(train) [47][3480/3757] lr: 1.0000e-03 eta: 12:58:16 time: 0.2312 data_time: 0.0236 memory: 6108 grad_norm: 6.4871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7609 loss: 1.7609 2022/07/23 02:24:15 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 1.0000e-03 eta: 12:58:12 time: 0.2298 data_time: 0.0238 memory: 6108 grad_norm: 6.2001 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7447 loss: 1.7447 2022/07/23 02:24:19 - mmengine - INFO - Epoch(train) [47][3520/3757] lr: 1.0000e-03 eta: 12:58:07 time: 0.2237 data_time: 0.0208 memory: 6108 grad_norm: 6.4790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4160 loss: 1.4160 2022/07/23 02:24:24 - mmengine - INFO - Epoch(train) [47][3540/3757] lr: 1.0000e-03 eta: 12:58:02 time: 0.2263 data_time: 0.0222 memory: 6108 grad_norm: 6.4284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6253 loss: 1.6253 2022/07/23 02:24:29 - mmengine - INFO - Epoch(train) [47][3560/3757] lr: 1.0000e-03 eta: 12:57:58 time: 0.2545 data_time: 0.0244 memory: 6108 grad_norm: 6.9028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/07/23 02:24:33 - mmengine - INFO - Epoch(train) [47][3580/3757] lr: 1.0000e-03 eta: 12:57:53 time: 0.2232 data_time: 0.0223 memory: 6108 grad_norm: 6.4320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6451 loss: 1.6451 2022/07/23 02:24:38 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 1.0000e-03 eta: 12:57:48 time: 0.2215 data_time: 0.0234 memory: 6108 grad_norm: 6.1757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2871 loss: 1.2871 2022/07/23 02:24:42 - mmengine - INFO - Epoch(train) [47][3620/3757] lr: 1.0000e-03 eta: 12:57:43 time: 0.2301 data_time: 0.0250 memory: 6108 grad_norm: 6.2481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3140 loss: 1.3140 2022/07/23 02:24:47 - mmengine - INFO - Epoch(train) [47][3640/3757] lr: 1.0000e-03 eta: 12:57:38 time: 0.2395 data_time: 0.0208 memory: 6108 grad_norm: 6.2827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6559 loss: 1.6559 2022/07/23 02:24:52 - mmengine - INFO - Epoch(train) [47][3660/3757] lr: 1.0000e-03 eta: 12:57:34 time: 0.2332 data_time: 0.0241 memory: 6108 grad_norm: 6.2506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5653 loss: 1.5653 2022/07/23 02:24:56 - mmengine - INFO - Epoch(train) [47][3680/3757] lr: 1.0000e-03 eta: 12:57:29 time: 0.2310 data_time: 0.0240 memory: 6108 grad_norm: 6.4402 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6753 loss: 1.6753 2022/07/23 02:25:01 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 1.0000e-03 eta: 12:57:25 time: 0.2494 data_time: 0.0162 memory: 6108 grad_norm: 6.1653 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5254 loss: 1.5254 2022/07/23 02:25:06 - mmengine - INFO - Epoch(train) [47][3720/3757] lr: 1.0000e-03 eta: 12:57:20 time: 0.2300 data_time: 0.0235 memory: 6108 grad_norm: 6.2735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4349 loss: 1.4349 2022/07/23 02:25:11 - mmengine - INFO - Epoch(train) [47][3740/3757] lr: 1.0000e-03 eta: 12:57:15 time: 0.2441 data_time: 0.0230 memory: 6108 grad_norm: 6.1031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3816 loss: 1.3816 2022/07/23 02:25:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:25:14 - mmengine - INFO - Epoch(train) [47][3757/3757] lr: 1.0000e-03 eta: 12:57:15 time: 0.1896 data_time: 0.0142 memory: 6108 grad_norm: 6.4941 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3896 loss: 1.3896 2022/07/23 02:25:20 - mmengine - INFO - Epoch(val) [47][20/310] eta: 0:01:20 time: 0.2779 data_time: 0.1907 memory: 1428 2022/07/23 02:25:24 - mmengine - INFO - Epoch(val) [47][40/310] eta: 0:00:53 time: 0.1976 data_time: 0.1227 memory: 1428 2022/07/23 02:25:28 - mmengine - INFO - Epoch(val) [47][60/310] eta: 0:00:54 time: 0.2165 data_time: 0.1393 memory: 1428 2022/07/23 02:25:32 - mmengine - INFO - Epoch(val) [47][80/310] eta: 0:00:47 time: 0.2068 data_time: 0.1297 memory: 1428 2022/07/23 02:25:36 - mmengine - INFO - Epoch(val) [47][100/310] eta: 0:00:42 time: 0.2039 data_time: 0.1305 memory: 1428 2022/07/23 02:25:41 - mmengine - INFO - Epoch(val) [47][120/310] eta: 0:00:41 time: 0.2205 data_time: 0.1451 memory: 1428 2022/07/23 02:25:45 - mmengine - INFO - Epoch(val) [47][140/310] eta: 0:00:39 time: 0.2297 data_time: 0.1503 memory: 1428 2022/07/23 02:25:50 - mmengine - INFO - Epoch(val) [47][160/310] eta: 0:00:32 time: 0.2161 data_time: 0.1428 memory: 1428 2022/07/23 02:25:54 - mmengine - INFO - Epoch(val) [47][180/310] eta: 0:00:28 time: 0.2231 data_time: 0.1498 memory: 1428 2022/07/23 02:25:58 - mmengine - INFO - Epoch(val) [47][200/310] eta: 0:00:20 time: 0.1889 data_time: 0.1142 memory: 1428 2022/07/23 02:26:03 - mmengine - INFO - Epoch(val) [47][220/310] eta: 0:00:20 time: 0.2233 data_time: 0.1468 memory: 1428 2022/07/23 02:26:06 - mmengine - INFO - Epoch(val) [47][240/310] eta: 0:00:12 time: 0.1850 data_time: 0.1086 memory: 1428 2022/07/23 02:26:11 - mmengine - INFO - Epoch(val) [47][260/310] eta: 0:00:12 time: 0.2404 data_time: 0.1640 memory: 1428 2022/07/23 02:26:15 - mmengine - INFO - Epoch(val) [47][280/310] eta: 0:00:05 time: 0.1882 data_time: 0.1122 memory: 1428 2022/07/23 02:26:19 - mmengine - INFO - Epoch(val) [47][300/310] eta: 0:00:02 time: 0.2162 data_time: 0.1475 memory: 1428 2022/07/23 02:26:23 - mmengine - INFO - Epoch(val) [47][310/310] acc/top1: 0.6411 acc/top5: 0.8527 acc/mean1: 0.6410 2022/07/23 02:26:29 - mmengine - INFO - Epoch(train) [48][20/3757] lr: 1.0000e-03 eta: 12:57:04 time: 0.3326 data_time: 0.0961 memory: 6108 grad_norm: 5.9178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2637 loss: 1.2637 2022/07/23 02:26:34 - mmengine - INFO - Epoch(train) [48][40/3757] lr: 1.0000e-03 eta: 12:57:00 time: 0.2406 data_time: 0.0227 memory: 6108 grad_norm: 6.1187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4245 loss: 1.4245 2022/07/23 02:26:39 - mmengine - INFO - Epoch(train) [48][60/3757] lr: 1.0000e-03 eta: 12:56:55 time: 0.2506 data_time: 0.0205 memory: 6108 grad_norm: 6.0858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4866 loss: 1.4866 2022/07/23 02:26:44 - mmengine - INFO - Epoch(train) [48][80/3757] lr: 1.0000e-03 eta: 12:56:51 time: 0.2252 data_time: 0.0216 memory: 6108 grad_norm: 6.3574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/07/23 02:26:48 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 1.0000e-03 eta: 12:56:46 time: 0.2271 data_time: 0.0184 memory: 6108 grad_norm: 6.3559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/07/23 02:26:53 - mmengine - INFO - Epoch(train) [48][120/3757] lr: 1.0000e-03 eta: 12:56:41 time: 0.2365 data_time: 0.0287 memory: 6108 grad_norm: 6.4003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4297 loss: 1.4297 2022/07/23 02:26:58 - mmengine - INFO - Epoch(train) [48][140/3757] lr: 1.0000e-03 eta: 12:56:36 time: 0.2292 data_time: 0.0194 memory: 6108 grad_norm: 6.5049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7188 loss: 1.7188 2022/07/23 02:27:03 - mmengine - INFO - Epoch(train) [48][160/3757] lr: 1.0000e-03 eta: 12:56:32 time: 0.2454 data_time: 0.0193 memory: 6108 grad_norm: 6.1874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8077 loss: 1.8077 2022/07/23 02:27:07 - mmengine - INFO - Epoch(train) [48][180/3757] lr: 1.0000e-03 eta: 12:56:27 time: 0.2272 data_time: 0.0214 memory: 6108 grad_norm: 6.2814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5179 loss: 1.5179 2022/07/23 02:27:12 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 1.0000e-03 eta: 12:56:22 time: 0.2307 data_time: 0.0241 memory: 6108 grad_norm: 6.1774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3255 loss: 1.3255 2022/07/23 02:27:16 - mmengine - INFO - Epoch(train) [48][220/3757] lr: 1.0000e-03 eta: 12:56:17 time: 0.2269 data_time: 0.0223 memory: 6108 grad_norm: 6.4305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6079 loss: 1.6079 2022/07/23 02:27:21 - mmengine - INFO - Epoch(train) [48][240/3757] lr: 1.0000e-03 eta: 12:56:13 time: 0.2322 data_time: 0.0231 memory: 6108 grad_norm: 6.2513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/07/23 02:27:26 - mmengine - INFO - Epoch(train) [48][260/3757] lr: 1.0000e-03 eta: 12:56:08 time: 0.2352 data_time: 0.0217 memory: 6108 grad_norm: 6.2534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5190 loss: 1.5190 2022/07/23 02:27:31 - mmengine - INFO - Epoch(train) [48][280/3757] lr: 1.0000e-03 eta: 12:56:04 time: 0.2488 data_time: 0.0186 memory: 6108 grad_norm: 6.3919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/07/23 02:27:35 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 1.0000e-03 eta: 12:55:59 time: 0.2353 data_time: 0.0237 memory: 6108 grad_norm: 6.0682 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3427 loss: 1.3427 2022/07/23 02:27:40 - mmengine - INFO - Epoch(train) [48][320/3757] lr: 1.0000e-03 eta: 12:55:54 time: 0.2356 data_time: 0.0204 memory: 6108 grad_norm: 6.3510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/07/23 02:27:45 - mmengine - INFO - Epoch(train) [48][340/3757] lr: 1.0000e-03 eta: 12:55:50 time: 0.2260 data_time: 0.0247 memory: 6108 grad_norm: 6.3833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/07/23 02:27:50 - mmengine - INFO - Epoch(train) [48][360/3757] lr: 1.0000e-03 eta: 12:55:45 time: 0.2449 data_time: 0.0263 memory: 6108 grad_norm: 6.3097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3216 loss: 1.3216 2022/07/23 02:27:54 - mmengine - INFO - Epoch(train) [48][380/3757] lr: 1.0000e-03 eta: 12:55:40 time: 0.2281 data_time: 0.0222 memory: 6108 grad_norm: 6.4662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4437 loss: 1.4437 2022/07/23 02:27:59 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 1.0000e-03 eta: 12:55:36 time: 0.2446 data_time: 0.0283 memory: 6108 grad_norm: 6.1832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3466 loss: 1.3466 2022/07/23 02:28:04 - mmengine - INFO - Epoch(train) [48][420/3757] lr: 1.0000e-03 eta: 12:55:31 time: 0.2266 data_time: 0.0247 memory: 6108 grad_norm: 6.6086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6537 loss: 1.6537 2022/07/23 02:28:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:28:08 - mmengine - INFO - Epoch(train) [48][440/3757] lr: 1.0000e-03 eta: 12:55:26 time: 0.2330 data_time: 0.0252 memory: 6108 grad_norm: 6.3011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/07/23 02:28:13 - mmengine - INFO - Epoch(train) [48][460/3757] lr: 1.0000e-03 eta: 12:55:21 time: 0.2310 data_time: 0.0271 memory: 6108 grad_norm: 6.2745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4301 loss: 1.4301 2022/07/23 02:28:18 - mmengine - INFO - Epoch(train) [48][480/3757] lr: 1.0000e-03 eta: 12:55:17 time: 0.2316 data_time: 0.0302 memory: 6108 grad_norm: 6.4925 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4142 loss: 1.4142 2022/07/23 02:28:23 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 1.0000e-03 eta: 12:55:12 time: 0.2529 data_time: 0.0154 memory: 6108 grad_norm: 6.2451 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2693 loss: 1.2693 2022/07/23 02:28:27 - mmengine - INFO - Epoch(train) [48][520/3757] lr: 1.0000e-03 eta: 12:55:08 time: 0.2293 data_time: 0.0235 memory: 6108 grad_norm: 6.1206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2821 loss: 1.2821 2022/07/23 02:28:32 - mmengine - INFO - Epoch(train) [48][540/3757] lr: 1.0000e-03 eta: 12:55:03 time: 0.2342 data_time: 0.0209 memory: 6108 grad_norm: 6.1530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3082 loss: 1.3082 2022/07/23 02:28:37 - mmengine - INFO - Epoch(train) [48][560/3757] lr: 1.0000e-03 eta: 12:54:58 time: 0.2389 data_time: 0.0288 memory: 6108 grad_norm: 6.2486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5222 loss: 1.5222 2022/07/23 02:28:41 - mmengine - INFO - Epoch(train) [48][580/3757] lr: 1.0000e-03 eta: 12:54:53 time: 0.2219 data_time: 0.0178 memory: 6108 grad_norm: 6.1984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5507 loss: 1.5507 2022/07/23 02:28:46 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 1.0000e-03 eta: 12:54:49 time: 0.2413 data_time: 0.0400 memory: 6108 grad_norm: 6.2659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/07/23 02:28:51 - mmengine - INFO - Epoch(train) [48][620/3757] lr: 1.0000e-03 eta: 12:54:45 time: 0.2489 data_time: 0.0236 memory: 6108 grad_norm: 6.2844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4901 loss: 1.4901 2022/07/23 02:28:56 - mmengine - INFO - Epoch(train) [48][640/3757] lr: 1.0000e-03 eta: 12:54:40 time: 0.2196 data_time: 0.0197 memory: 6108 grad_norm: 6.1940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/07/23 02:29:00 - mmengine - INFO - Epoch(train) [48][660/3757] lr: 1.0000e-03 eta: 12:54:35 time: 0.2347 data_time: 0.0220 memory: 6108 grad_norm: 6.1612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/07/23 02:29:05 - mmengine - INFO - Epoch(train) [48][680/3757] lr: 1.0000e-03 eta: 12:54:30 time: 0.2248 data_time: 0.0239 memory: 6108 grad_norm: 6.3655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/07/23 02:29:10 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 1.0000e-03 eta: 12:54:25 time: 0.2408 data_time: 0.0184 memory: 6108 grad_norm: 6.1499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4889 loss: 1.4889 2022/07/23 02:29:14 - mmengine - INFO - Epoch(train) [48][720/3757] lr: 1.0000e-03 eta: 12:54:21 time: 0.2247 data_time: 0.0252 memory: 6108 grad_norm: 6.1170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3881 loss: 1.3881 2022/07/23 02:29:19 - mmengine - INFO - Epoch(train) [48][740/3757] lr: 1.0000e-03 eta: 12:54:16 time: 0.2340 data_time: 0.0210 memory: 6108 grad_norm: 6.3951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7556 loss: 1.7556 2022/07/23 02:29:23 - mmengine - INFO - Epoch(train) [48][760/3757] lr: 1.0000e-03 eta: 12:54:11 time: 0.2311 data_time: 0.0207 memory: 6108 grad_norm: 6.4151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4520 loss: 1.4520 2022/07/23 02:29:28 - mmengine - INFO - Epoch(train) [48][780/3757] lr: 1.0000e-03 eta: 12:54:06 time: 0.2294 data_time: 0.0245 memory: 6108 grad_norm: 6.2688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2058 loss: 1.2058 2022/07/23 02:29:33 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 1.0000e-03 eta: 12:54:02 time: 0.2403 data_time: 0.0260 memory: 6108 grad_norm: 6.5015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4904 loss: 1.4904 2022/07/23 02:29:38 - mmengine - INFO - Epoch(train) [48][820/3757] lr: 1.0000e-03 eta: 12:53:57 time: 0.2451 data_time: 0.0178 memory: 6108 grad_norm: 6.3108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7796 loss: 1.7796 2022/07/23 02:29:42 - mmengine - INFO - Epoch(train) [48][840/3757] lr: 1.0000e-03 eta: 12:53:53 time: 0.2279 data_time: 0.0246 memory: 6108 grad_norm: 6.4181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6490 loss: 1.6490 2022/07/23 02:29:47 - mmengine - INFO - Epoch(train) [48][860/3757] lr: 1.0000e-03 eta: 12:53:48 time: 0.2304 data_time: 0.0235 memory: 6108 grad_norm: 6.1710 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1766 loss: 1.1766 2022/07/23 02:29:52 - mmengine - INFO - Epoch(train) [48][880/3757] lr: 1.0000e-03 eta: 12:53:43 time: 0.2257 data_time: 0.0183 memory: 6108 grad_norm: 6.2570 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8100 loss: 1.8100 2022/07/23 02:29:56 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 1.0000e-03 eta: 12:53:38 time: 0.2255 data_time: 0.0217 memory: 6108 grad_norm: 6.1427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3831 loss: 1.3831 2022/07/23 02:30:01 - mmengine - INFO - Epoch(train) [48][920/3757] lr: 1.0000e-03 eta: 12:53:34 time: 0.2497 data_time: 0.0229 memory: 6108 grad_norm: 6.2062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5062 loss: 1.5062 2022/07/23 02:30:06 - mmengine - INFO - Epoch(train) [48][940/3757] lr: 1.0000e-03 eta: 12:53:29 time: 0.2274 data_time: 0.0230 memory: 6108 grad_norm: 6.4088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4833 loss: 1.4833 2022/07/23 02:30:10 - mmengine - INFO - Epoch(train) [48][960/3757] lr: 1.0000e-03 eta: 12:53:24 time: 0.2314 data_time: 0.0283 memory: 6108 grad_norm: 6.5358 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8176 loss: 1.8176 2022/07/23 02:30:15 - mmengine - INFO - Epoch(train) [48][980/3757] lr: 1.0000e-03 eta: 12:53:19 time: 0.2264 data_time: 0.0186 memory: 6108 grad_norm: 6.2893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5118 loss: 1.5118 2022/07/23 02:30:20 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 1.0000e-03 eta: 12:53:15 time: 0.2394 data_time: 0.0252 memory: 6108 grad_norm: 6.3208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6106 loss: 1.6106 2022/07/23 02:30:24 - mmengine - INFO - Epoch(train) [48][1020/3757] lr: 1.0000e-03 eta: 12:53:10 time: 0.2348 data_time: 0.0347 memory: 6108 grad_norm: 6.3539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5369 loss: 1.5369 2022/07/23 02:30:29 - mmengine - INFO - Epoch(train) [48][1040/3757] lr: 1.0000e-03 eta: 12:53:05 time: 0.2338 data_time: 0.0217 memory: 6108 grad_norm: 6.0783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4580 loss: 1.4580 2022/07/23 02:30:34 - mmengine - INFO - Epoch(train) [48][1060/3757] lr: 1.0000e-03 eta: 12:53:00 time: 0.2254 data_time: 0.0245 memory: 6108 grad_norm: 6.3667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5857 loss: 1.5857 2022/07/23 02:30:38 - mmengine - INFO - Epoch(train) [48][1080/3757] lr: 1.0000e-03 eta: 12:52:56 time: 0.2309 data_time: 0.0328 memory: 6108 grad_norm: 6.2953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/07/23 02:30:43 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 1.0000e-03 eta: 12:52:51 time: 0.2431 data_time: 0.0230 memory: 6108 grad_norm: 6.2934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3538 loss: 1.3538 2022/07/23 02:30:48 - mmengine - INFO - Epoch(train) [48][1120/3757] lr: 1.0000e-03 eta: 12:52:47 time: 0.2478 data_time: 0.0220 memory: 6108 grad_norm: 6.5909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4308 loss: 1.4308 2022/07/23 02:30:53 - mmengine - INFO - Epoch(train) [48][1140/3757] lr: 1.0000e-03 eta: 12:52:42 time: 0.2418 data_time: 0.0207 memory: 6108 grad_norm: 6.1587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4279 loss: 1.4279 2022/07/23 02:30:57 - mmengine - INFO - Epoch(train) [48][1160/3757] lr: 1.0000e-03 eta: 12:52:38 time: 0.2285 data_time: 0.0189 memory: 6108 grad_norm: 6.3008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/07/23 02:31:02 - mmengine - INFO - Epoch(train) [48][1180/3757] lr: 1.0000e-03 eta: 12:52:33 time: 0.2306 data_time: 0.0205 memory: 6108 grad_norm: 6.4911 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3664 loss: 1.3664 2022/07/23 02:31:08 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 1.0000e-03 eta: 12:52:29 time: 0.2710 data_time: 0.0800 memory: 6108 grad_norm: 6.3653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4654 loss: 1.4654 2022/07/23 02:31:12 - mmengine - INFO - Epoch(train) [48][1220/3757] lr: 1.0000e-03 eta: 12:52:24 time: 0.2372 data_time: 0.0213 memory: 6108 grad_norm: 6.2964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7053 loss: 1.7053 2022/07/23 02:31:17 - mmengine - INFO - Epoch(train) [48][1240/3757] lr: 1.0000e-03 eta: 12:52:19 time: 0.2296 data_time: 0.0255 memory: 6108 grad_norm: 6.4363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/07/23 02:31:22 - mmengine - INFO - Epoch(train) [48][1260/3757] lr: 1.0000e-03 eta: 12:52:15 time: 0.2376 data_time: 0.0256 memory: 6108 grad_norm: 5.9765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3915 loss: 1.3915 2022/07/23 02:31:26 - mmengine - INFO - Epoch(train) [48][1280/3757] lr: 1.0000e-03 eta: 12:52:10 time: 0.2380 data_time: 0.0242 memory: 6108 grad_norm: 6.4446 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5182 loss: 1.5182 2022/07/23 02:31:31 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 1.0000e-03 eta: 12:52:06 time: 0.2376 data_time: 0.0374 memory: 6108 grad_norm: 6.1258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3479 loss: 1.3479 2022/07/23 02:31:36 - mmengine - INFO - Epoch(train) [48][1320/3757] lr: 1.0000e-03 eta: 12:52:01 time: 0.2299 data_time: 0.0212 memory: 6108 grad_norm: 6.3948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4503 loss: 1.4503 2022/07/23 02:31:40 - mmengine - INFO - Epoch(train) [48][1340/3757] lr: 1.0000e-03 eta: 12:51:56 time: 0.2302 data_time: 0.0243 memory: 6108 grad_norm: 6.4208 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5607 loss: 1.5607 2022/07/23 02:31:45 - mmengine - INFO - Epoch(train) [48][1360/3757] lr: 1.0000e-03 eta: 12:51:51 time: 0.2269 data_time: 0.0262 memory: 6108 grad_norm: 6.2104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/07/23 02:31:50 - mmengine - INFO - Epoch(train) [48][1380/3757] lr: 1.0000e-03 eta: 12:51:47 time: 0.2372 data_time: 0.0216 memory: 6108 grad_norm: 6.3260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6299 loss: 1.6299 2022/07/23 02:31:54 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 1.0000e-03 eta: 12:51:42 time: 0.2276 data_time: 0.0245 memory: 6108 grad_norm: 6.3138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3240 loss: 1.3240 2022/07/23 02:32:00 - mmengine - INFO - Epoch(train) [48][1420/3757] lr: 1.0000e-03 eta: 12:51:38 time: 0.2594 data_time: 0.0212 memory: 6108 grad_norm: 6.4452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2780 loss: 1.2780 2022/07/23 02:32:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:32:04 - mmengine - INFO - Epoch(train) [48][1440/3757] lr: 1.0000e-03 eta: 12:51:33 time: 0.2383 data_time: 0.0239 memory: 6108 grad_norm: 6.0563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6081 loss: 1.6081 2022/07/23 02:32:09 - mmengine - INFO - Epoch(train) [48][1460/3757] lr: 1.0000e-03 eta: 12:51:28 time: 0.2223 data_time: 0.0223 memory: 6108 grad_norm: 6.6428 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5535 loss: 1.5535 2022/07/23 02:32:13 - mmengine - INFO - Epoch(train) [48][1480/3757] lr: 1.0000e-03 eta: 12:51:23 time: 0.2299 data_time: 0.0295 memory: 6108 grad_norm: 6.6499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5100 loss: 1.5100 2022/07/23 02:32:18 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 1.0000e-03 eta: 12:51:19 time: 0.2343 data_time: 0.0277 memory: 6108 grad_norm: 5.9878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3991 loss: 1.3991 2022/07/23 02:32:23 - mmengine - INFO - Epoch(train) [48][1520/3757] lr: 1.0000e-03 eta: 12:51:14 time: 0.2368 data_time: 0.0248 memory: 6108 grad_norm: 6.4107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4828 loss: 1.4828 2022/07/23 02:32:28 - mmengine - INFO - Epoch(train) [48][1540/3757] lr: 1.0000e-03 eta: 12:51:09 time: 0.2339 data_time: 0.0289 memory: 6108 grad_norm: 6.3293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7554 loss: 1.7554 2022/07/23 02:32:32 - mmengine - INFO - Epoch(train) [48][1560/3757] lr: 1.0000e-03 eta: 12:51:05 time: 0.2386 data_time: 0.0200 memory: 6108 grad_norm: 6.2499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6858 loss: 1.6858 2022/07/23 02:32:37 - mmengine - INFO - Epoch(train) [48][1580/3757] lr: 1.0000e-03 eta: 12:51:00 time: 0.2275 data_time: 0.0219 memory: 6108 grad_norm: 6.3383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4067 loss: 1.4067 2022/07/23 02:32:42 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 1.0000e-03 eta: 12:50:56 time: 0.2489 data_time: 0.0263 memory: 6108 grad_norm: 6.2873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/07/23 02:32:47 - mmengine - INFO - Epoch(train) [48][1620/3757] lr: 1.0000e-03 eta: 12:50:51 time: 0.2281 data_time: 0.0235 memory: 6108 grad_norm: 6.0191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4287 loss: 1.4287 2022/07/23 02:32:51 - mmengine - INFO - Epoch(train) [48][1640/3757] lr: 1.0000e-03 eta: 12:50:46 time: 0.2459 data_time: 0.0167 memory: 6108 grad_norm: 6.1561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3269 loss: 1.3269 2022/07/23 02:32:56 - mmengine - INFO - Epoch(train) [48][1660/3757] lr: 1.0000e-03 eta: 12:50:42 time: 0.2263 data_time: 0.0260 memory: 6108 grad_norm: 6.3784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5056 loss: 1.5056 2022/07/23 02:33:01 - mmengine - INFO - Epoch(train) [48][1680/3757] lr: 1.0000e-03 eta: 12:50:37 time: 0.2306 data_time: 0.0196 memory: 6108 grad_norm: 6.1975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5601 loss: 1.5601 2022/07/23 02:33:05 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 1.0000e-03 eta: 12:50:32 time: 0.2308 data_time: 0.0318 memory: 6108 grad_norm: 6.5663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3496 loss: 1.3496 2022/07/23 02:33:10 - mmengine - INFO - Epoch(train) [48][1720/3757] lr: 1.0000e-03 eta: 12:50:27 time: 0.2351 data_time: 0.0295 memory: 6108 grad_norm: 6.2318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6219 loss: 1.6219 2022/07/23 02:33:15 - mmengine - INFO - Epoch(train) [48][1740/3757] lr: 1.0000e-03 eta: 12:50:23 time: 0.2339 data_time: 0.0199 memory: 6108 grad_norm: 6.3808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/07/23 02:33:20 - mmengine - INFO - Epoch(train) [48][1760/3757] lr: 1.0000e-03 eta: 12:50:18 time: 0.2537 data_time: 0.0197 memory: 6108 grad_norm: 6.3369 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6405 loss: 1.6405 2022/07/23 02:33:24 - mmengine - INFO - Epoch(train) [48][1780/3757] lr: 1.0000e-03 eta: 12:50:13 time: 0.2249 data_time: 0.0221 memory: 6108 grad_norm: 6.5087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5981 loss: 1.5981 2022/07/23 02:33:29 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 1.0000e-03 eta: 12:50:09 time: 0.2319 data_time: 0.0245 memory: 6108 grad_norm: 6.4392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4404 loss: 1.4404 2022/07/23 02:33:33 - mmengine - INFO - Epoch(train) [48][1820/3757] lr: 1.0000e-03 eta: 12:50:04 time: 0.2251 data_time: 0.0198 memory: 6108 grad_norm: 6.2038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/23 02:33:38 - mmengine - INFO - Epoch(train) [48][1840/3757] lr: 1.0000e-03 eta: 12:49:59 time: 0.2261 data_time: 0.0237 memory: 6108 grad_norm: 6.2871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7548 loss: 1.7548 2022/07/23 02:33:43 - mmengine - INFO - Epoch(train) [48][1860/3757] lr: 1.0000e-03 eta: 12:49:55 time: 0.2421 data_time: 0.0202 memory: 6108 grad_norm: 6.2942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5017 loss: 1.5017 2022/07/23 02:33:47 - mmengine - INFO - Epoch(train) [48][1880/3757] lr: 1.0000e-03 eta: 12:49:50 time: 0.2300 data_time: 0.0246 memory: 6108 grad_norm: 6.1437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2599 loss: 1.2599 2022/07/23 02:33:52 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 1.0000e-03 eta: 12:49:45 time: 0.2260 data_time: 0.0231 memory: 6108 grad_norm: 6.3058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8046 loss: 1.8046 2022/07/23 02:33:57 - mmengine - INFO - Epoch(train) [48][1920/3757] lr: 1.0000e-03 eta: 12:49:40 time: 0.2423 data_time: 0.0265 memory: 6108 grad_norm: 6.5768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6151 loss: 1.6151 2022/07/23 02:34:02 - mmengine - INFO - Epoch(train) [48][1940/3757] lr: 1.0000e-03 eta: 12:49:36 time: 0.2378 data_time: 0.0238 memory: 6108 grad_norm: 6.6034 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5512 loss: 1.5512 2022/07/23 02:34:06 - mmengine - INFO - Epoch(train) [48][1960/3757] lr: 1.0000e-03 eta: 12:49:31 time: 0.2291 data_time: 0.0266 memory: 6108 grad_norm: 6.2512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6023 loss: 1.6023 2022/07/23 02:34:11 - mmengine - INFO - Epoch(train) [48][1980/3757] lr: 1.0000e-03 eta: 12:49:26 time: 0.2279 data_time: 0.0211 memory: 6108 grad_norm: 6.3571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5179 loss: 1.5179 2022/07/23 02:34:15 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 1.0000e-03 eta: 12:49:21 time: 0.2222 data_time: 0.0217 memory: 6108 grad_norm: 6.1911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3298 loss: 1.3298 2022/07/23 02:34:20 - mmengine - INFO - Epoch(train) [48][2020/3757] lr: 1.0000e-03 eta: 12:49:17 time: 0.2433 data_time: 0.0283 memory: 6108 grad_norm: 6.3876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4400 loss: 1.4400 2022/07/23 02:34:25 - mmengine - INFO - Epoch(train) [48][2040/3757] lr: 1.0000e-03 eta: 12:49:12 time: 0.2250 data_time: 0.0207 memory: 6108 grad_norm: 6.6584 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5383 loss: 1.5383 2022/07/23 02:34:29 - mmengine - INFO - Epoch(train) [48][2060/3757] lr: 1.0000e-03 eta: 12:49:07 time: 0.2320 data_time: 0.0256 memory: 6108 grad_norm: 6.4745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6418 loss: 1.6418 2022/07/23 02:34:34 - mmengine - INFO - Epoch(train) [48][2080/3757] lr: 1.0000e-03 eta: 12:49:02 time: 0.2238 data_time: 0.0198 memory: 6108 grad_norm: 6.3551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3615 loss: 1.3615 2022/07/23 02:34:38 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 1.0000e-03 eta: 12:48:57 time: 0.2242 data_time: 0.0209 memory: 6108 grad_norm: 6.4298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3804 loss: 1.3804 2022/07/23 02:34:43 - mmengine - INFO - Epoch(train) [48][2120/3757] lr: 1.0000e-03 eta: 12:48:52 time: 0.2290 data_time: 0.0197 memory: 6108 grad_norm: 6.5688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6158 loss: 1.6158 2022/07/23 02:34:47 - mmengine - INFO - Epoch(train) [48][2140/3757] lr: 1.0000e-03 eta: 12:48:48 time: 0.2258 data_time: 0.0231 memory: 6108 grad_norm: 6.3753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4189 loss: 1.4189 2022/07/23 02:34:52 - mmengine - INFO - Epoch(train) [48][2160/3757] lr: 1.0000e-03 eta: 12:48:43 time: 0.2407 data_time: 0.0195 memory: 6108 grad_norm: 6.6478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7222 loss: 1.7222 2022/07/23 02:34:57 - mmengine - INFO - Epoch(train) [48][2180/3757] lr: 1.0000e-03 eta: 12:48:38 time: 0.2291 data_time: 0.0206 memory: 6108 grad_norm: 6.5088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4880 loss: 1.4880 2022/07/23 02:35:02 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 1.0000e-03 eta: 12:48:34 time: 0.2318 data_time: 0.0220 memory: 6108 grad_norm: 6.5590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/07/23 02:35:06 - mmengine - INFO - Epoch(train) [48][2220/3757] lr: 1.0000e-03 eta: 12:48:29 time: 0.2271 data_time: 0.0182 memory: 6108 grad_norm: 6.4558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/07/23 02:35:11 - mmengine - INFO - Epoch(train) [48][2240/3757] lr: 1.0000e-03 eta: 12:48:24 time: 0.2367 data_time: 0.0215 memory: 6108 grad_norm: 6.5365 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2902 loss: 1.2902 2022/07/23 02:35:16 - mmengine - INFO - Epoch(train) [48][2260/3757] lr: 1.0000e-03 eta: 12:48:20 time: 0.2524 data_time: 0.0485 memory: 6108 grad_norm: 6.4412 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4540 loss: 1.4540 2022/07/23 02:35:21 - mmengine - INFO - Epoch(train) [48][2280/3757] lr: 1.0000e-03 eta: 12:48:15 time: 0.2313 data_time: 0.0206 memory: 6108 grad_norm: 6.3732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/07/23 02:35:25 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 1.0000e-03 eta: 12:48:10 time: 0.2236 data_time: 0.0191 memory: 6108 grad_norm: 6.4785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3859 loss: 1.3859 2022/07/23 02:35:30 - mmengine - INFO - Epoch(train) [48][2320/3757] lr: 1.0000e-03 eta: 12:48:05 time: 0.2248 data_time: 0.0201 memory: 6108 grad_norm: 6.1539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/07/23 02:35:34 - mmengine - INFO - Epoch(train) [48][2340/3757] lr: 1.0000e-03 eta: 12:48:00 time: 0.2273 data_time: 0.0252 memory: 6108 grad_norm: 6.3778 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4797 loss: 1.4797 2022/07/23 02:35:39 - mmengine - INFO - Epoch(train) [48][2360/3757] lr: 1.0000e-03 eta: 12:47:56 time: 0.2277 data_time: 0.0209 memory: 6108 grad_norm: 6.4076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4816 loss: 1.4816 2022/07/23 02:35:44 - mmengine - INFO - Epoch(train) [48][2380/3757] lr: 1.0000e-03 eta: 12:47:51 time: 0.2387 data_time: 0.0241 memory: 6108 grad_norm: 6.1708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3056 loss: 1.3056 2022/07/23 02:35:48 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 1.0000e-03 eta: 12:47:46 time: 0.2324 data_time: 0.0230 memory: 6108 grad_norm: 6.4195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/07/23 02:35:53 - mmengine - INFO - Epoch(train) [48][2420/3757] lr: 1.0000e-03 eta: 12:47:42 time: 0.2336 data_time: 0.0219 memory: 6108 grad_norm: 6.2099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5072 loss: 1.5072 2022/07/23 02:35:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:35:58 - mmengine - INFO - Epoch(train) [48][2440/3757] lr: 1.0000e-03 eta: 12:47:37 time: 0.2348 data_time: 0.0238 memory: 6108 grad_norm: 6.2421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4758 loss: 1.4758 2022/07/23 02:36:02 - mmengine - INFO - Epoch(train) [48][2460/3757] lr: 1.0000e-03 eta: 12:47:32 time: 0.2377 data_time: 0.0232 memory: 6108 grad_norm: 6.4915 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5831 loss: 1.5831 2022/07/23 02:36:07 - mmengine - INFO - Epoch(train) [48][2480/3757] lr: 1.0000e-03 eta: 12:47:28 time: 0.2349 data_time: 0.0188 memory: 6108 grad_norm: 6.6333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/07/23 02:36:12 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 1.0000e-03 eta: 12:47:23 time: 0.2297 data_time: 0.0274 memory: 6108 grad_norm: 6.5491 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7727 loss: 1.7727 2022/07/23 02:36:16 - mmengine - INFO - Epoch(train) [48][2520/3757] lr: 1.0000e-03 eta: 12:47:18 time: 0.2282 data_time: 0.0206 memory: 6108 grad_norm: 6.1003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3049 loss: 1.3049 2022/07/23 02:36:21 - mmengine - INFO - Epoch(train) [48][2540/3757] lr: 1.0000e-03 eta: 12:47:14 time: 0.2518 data_time: 0.0216 memory: 6108 grad_norm: 6.2951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6163 loss: 1.6163 2022/07/23 02:36:26 - mmengine - INFO - Epoch(train) [48][2560/3757] lr: 1.0000e-03 eta: 12:47:09 time: 0.2318 data_time: 0.0214 memory: 6108 grad_norm: 6.4930 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2417 loss: 1.2417 2022/07/23 02:36:31 - mmengine - INFO - Epoch(train) [48][2580/3757] lr: 1.0000e-03 eta: 12:47:04 time: 0.2278 data_time: 0.0259 memory: 6108 grad_norm: 6.3611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5177 loss: 1.5177 2022/07/23 02:36:35 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 1.0000e-03 eta: 12:46:59 time: 0.2322 data_time: 0.0207 memory: 6108 grad_norm: 6.3518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/07/23 02:36:40 - mmengine - INFO - Epoch(train) [48][2620/3757] lr: 1.0000e-03 eta: 12:46:55 time: 0.2470 data_time: 0.0265 memory: 6108 grad_norm: 6.2913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3199 loss: 1.3199 2022/07/23 02:36:45 - mmengine - INFO - Epoch(train) [48][2640/3757] lr: 1.0000e-03 eta: 12:46:50 time: 0.2243 data_time: 0.0176 memory: 6108 grad_norm: 6.4126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/07/23 02:36:49 - mmengine - INFO - Epoch(train) [48][2660/3757] lr: 1.0000e-03 eta: 12:46:46 time: 0.2394 data_time: 0.0189 memory: 6108 grad_norm: 6.3767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4428 loss: 1.4428 2022/07/23 02:36:54 - mmengine - INFO - Epoch(train) [48][2680/3757] lr: 1.0000e-03 eta: 12:46:41 time: 0.2276 data_time: 0.0245 memory: 6108 grad_norm: 6.6041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9049 loss: 1.9049 2022/07/23 02:36:59 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 1.0000e-03 eta: 12:46:36 time: 0.2304 data_time: 0.0235 memory: 6108 grad_norm: 6.3376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5239 loss: 1.5239 2022/07/23 02:37:03 - mmengine - INFO - Epoch(train) [48][2720/3757] lr: 1.0000e-03 eta: 12:46:31 time: 0.2389 data_time: 0.0185 memory: 6108 grad_norm: 6.5197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5673 loss: 1.5673 2022/07/23 02:37:08 - mmengine - INFO - Epoch(train) [48][2740/3757] lr: 1.0000e-03 eta: 12:46:27 time: 0.2297 data_time: 0.0267 memory: 6108 grad_norm: 6.4708 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6810 loss: 1.6810 2022/07/23 02:37:13 - mmengine - INFO - Epoch(train) [48][2760/3757] lr: 1.0000e-03 eta: 12:46:22 time: 0.2261 data_time: 0.0293 memory: 6108 grad_norm: 6.5192 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4489 loss: 1.4489 2022/07/23 02:37:17 - mmengine - INFO - Epoch(train) [48][2780/3757] lr: 1.0000e-03 eta: 12:46:17 time: 0.2283 data_time: 0.0218 memory: 6108 grad_norm: 6.4723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7508 loss: 1.7508 2022/07/23 02:37:22 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 1.0000e-03 eta: 12:46:12 time: 0.2393 data_time: 0.0221 memory: 6108 grad_norm: 6.5498 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/07/23 02:37:27 - mmengine - INFO - Epoch(train) [48][2820/3757] lr: 1.0000e-03 eta: 12:46:08 time: 0.2382 data_time: 0.0202 memory: 6108 grad_norm: 6.4056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/07/23 02:37:31 - mmengine - INFO - Epoch(train) [48][2840/3757] lr: 1.0000e-03 eta: 12:46:03 time: 0.2331 data_time: 0.0207 memory: 6108 grad_norm: 6.5715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5891 loss: 1.5891 2022/07/23 02:37:36 - mmengine - INFO - Epoch(train) [48][2860/3757] lr: 1.0000e-03 eta: 12:45:58 time: 0.2264 data_time: 0.0227 memory: 6108 grad_norm: 6.2994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/07/23 02:37:41 - mmengine - INFO - Epoch(train) [48][2880/3757] lr: 1.0000e-03 eta: 12:45:54 time: 0.2490 data_time: 0.0187 memory: 6108 grad_norm: 6.3718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6112 loss: 1.6112 2022/07/23 02:37:45 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 1.0000e-03 eta: 12:45:49 time: 0.2232 data_time: 0.0189 memory: 6108 grad_norm: 6.3227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4826 loss: 1.4826 2022/07/23 02:37:50 - mmengine - INFO - Epoch(train) [48][2920/3757] lr: 1.0000e-03 eta: 12:45:44 time: 0.2294 data_time: 0.0258 memory: 6108 grad_norm: 6.1675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5386 loss: 1.5386 2022/07/23 02:37:55 - mmengine - INFO - Epoch(train) [48][2940/3757] lr: 1.0000e-03 eta: 12:45:39 time: 0.2277 data_time: 0.0218 memory: 6108 grad_norm: 6.1305 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6049 loss: 1.6049 2022/07/23 02:37:59 - mmengine - INFO - Epoch(train) [48][2960/3757] lr: 1.0000e-03 eta: 12:45:34 time: 0.2268 data_time: 0.0234 memory: 6108 grad_norm: 6.2047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6948 loss: 1.6948 2022/07/23 02:38:04 - mmengine - INFO - Epoch(train) [48][2980/3757] lr: 1.0000e-03 eta: 12:45:30 time: 0.2404 data_time: 0.0228 memory: 6108 grad_norm: 6.3968 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5485 loss: 1.5485 2022/07/23 02:38:09 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 1.0000e-03 eta: 12:45:25 time: 0.2240 data_time: 0.0200 memory: 6108 grad_norm: 6.3970 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/07/23 02:38:13 - mmengine - INFO - Epoch(train) [48][3020/3757] lr: 1.0000e-03 eta: 12:45:20 time: 0.2245 data_time: 0.0206 memory: 6108 grad_norm: 6.1806 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4177 loss: 1.4177 2022/07/23 02:38:18 - mmengine - INFO - Epoch(train) [48][3040/3757] lr: 1.0000e-03 eta: 12:45:15 time: 0.2258 data_time: 0.0230 memory: 6108 grad_norm: 6.3117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3922 loss: 1.3922 2022/07/23 02:38:22 - mmengine - INFO - Epoch(train) [48][3060/3757] lr: 1.0000e-03 eta: 12:45:10 time: 0.2290 data_time: 0.0243 memory: 6108 grad_norm: 6.3208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2531 loss: 1.2531 2022/07/23 02:38:27 - mmengine - INFO - Epoch(train) [48][3080/3757] lr: 1.0000e-03 eta: 12:45:06 time: 0.2273 data_time: 0.0186 memory: 6108 grad_norm: 6.1214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6772 loss: 1.6772 2022/07/23 02:38:31 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 1.0000e-03 eta: 12:45:01 time: 0.2346 data_time: 0.0229 memory: 6108 grad_norm: 6.3355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5067 loss: 1.5067 2022/07/23 02:38:36 - mmengine - INFO - Epoch(train) [48][3120/3757] lr: 1.0000e-03 eta: 12:44:56 time: 0.2355 data_time: 0.0224 memory: 6108 grad_norm: 6.4369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4577 loss: 1.4577 2022/07/23 02:38:41 - mmengine - INFO - Epoch(train) [48][3140/3757] lr: 1.0000e-03 eta: 12:44:52 time: 0.2360 data_time: 0.0219 memory: 6108 grad_norm: 6.3900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/07/23 02:38:46 - mmengine - INFO - Epoch(train) [48][3160/3757] lr: 1.0000e-03 eta: 12:44:47 time: 0.2323 data_time: 0.0249 memory: 6108 grad_norm: 6.5815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3618 loss: 1.3618 2022/07/23 02:38:51 - mmengine - INFO - Epoch(train) [48][3180/3757] lr: 1.0000e-03 eta: 12:44:43 time: 0.2502 data_time: 0.0195 memory: 6108 grad_norm: 6.5297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6342 loss: 1.6342 2022/07/23 02:38:55 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 1.0000e-03 eta: 12:44:38 time: 0.2362 data_time: 0.0202 memory: 6108 grad_norm: 6.3448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7166 loss: 1.7166 2022/07/23 02:39:00 - mmengine - INFO - Epoch(train) [48][3220/3757] lr: 1.0000e-03 eta: 12:44:33 time: 0.2400 data_time: 0.0226 memory: 6108 grad_norm: 6.4092 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4076 loss: 1.4076 2022/07/23 02:39:05 - mmengine - INFO - Epoch(train) [48][3240/3757] lr: 1.0000e-03 eta: 12:44:29 time: 0.2361 data_time: 0.0252 memory: 6108 grad_norm: 6.4177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4809 loss: 1.4809 2022/07/23 02:39:09 - mmengine - INFO - Epoch(train) [48][3260/3757] lr: 1.0000e-03 eta: 12:44:24 time: 0.2281 data_time: 0.0195 memory: 6108 grad_norm: 6.4905 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5937 loss: 1.5937 2022/07/23 02:39:14 - mmengine - INFO - Epoch(train) [48][3280/3757] lr: 1.0000e-03 eta: 12:44:19 time: 0.2292 data_time: 0.0265 memory: 6108 grad_norm: 6.5820 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5877 loss: 1.5877 2022/07/23 02:39:19 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 1.0000e-03 eta: 12:44:15 time: 0.2349 data_time: 0.0204 memory: 6108 grad_norm: 6.3688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5136 loss: 1.5136 2022/07/23 02:39:24 - mmengine - INFO - Epoch(train) [48][3320/3757] lr: 1.0000e-03 eta: 12:44:10 time: 0.2366 data_time: 0.0263 memory: 6108 grad_norm: 6.2131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/07/23 02:39:29 - mmengine - INFO - Epoch(train) [48][3340/3757] lr: 1.0000e-03 eta: 12:44:06 time: 0.2542 data_time: 0.0254 memory: 6108 grad_norm: 6.4145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4991 loss: 1.4991 2022/07/23 02:39:33 - mmengine - INFO - Epoch(train) [48][3360/3757] lr: 1.0000e-03 eta: 12:44:01 time: 0.2198 data_time: 0.0215 memory: 6108 grad_norm: 6.2437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6979 loss: 1.6979 2022/07/23 02:39:38 - mmengine - INFO - Epoch(train) [48][3380/3757] lr: 1.0000e-03 eta: 12:43:56 time: 0.2300 data_time: 0.0191 memory: 6108 grad_norm: 6.4883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5076 loss: 1.5076 2022/07/23 02:39:42 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 1.0000e-03 eta: 12:43:51 time: 0.2387 data_time: 0.0245 memory: 6108 grad_norm: 6.6633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4630 loss: 1.4630 2022/07/23 02:39:47 - mmengine - INFO - Epoch(train) [48][3420/3757] lr: 1.0000e-03 eta: 12:43:47 time: 0.2339 data_time: 0.0284 memory: 6108 grad_norm: 6.4280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3847 loss: 1.3847 2022/07/23 02:39:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:39:52 - mmengine - INFO - Epoch(train) [48][3440/3757] lr: 1.0000e-03 eta: 12:43:42 time: 0.2458 data_time: 0.0204 memory: 6108 grad_norm: 6.4793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/07/23 02:39:57 - mmengine - INFO - Epoch(train) [48][3460/3757] lr: 1.0000e-03 eta: 12:43:37 time: 0.2309 data_time: 0.0185 memory: 6108 grad_norm: 6.2122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4247 loss: 1.4247 2022/07/23 02:40:02 - mmengine - INFO - Epoch(train) [48][3480/3757] lr: 1.0000e-03 eta: 12:43:33 time: 0.2518 data_time: 0.0191 memory: 6108 grad_norm: 6.4555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/07/23 02:40:06 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 1.0000e-03 eta: 12:43:28 time: 0.2237 data_time: 0.0177 memory: 6108 grad_norm: 6.5629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5511 loss: 1.5511 2022/07/23 02:40:11 - mmengine - INFO - Epoch(train) [48][3520/3757] lr: 1.0000e-03 eta: 12:43:24 time: 0.2353 data_time: 0.0251 memory: 6108 grad_norm: 6.5557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4025 loss: 1.4025 2022/07/23 02:40:16 - mmengine - INFO - Epoch(train) [48][3540/3757] lr: 1.0000e-03 eta: 12:43:19 time: 0.2259 data_time: 0.0185 memory: 6108 grad_norm: 6.4528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/07/23 02:40:20 - mmengine - INFO - Epoch(train) [48][3560/3757] lr: 1.0000e-03 eta: 12:43:14 time: 0.2256 data_time: 0.0245 memory: 6108 grad_norm: 6.5258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3394 loss: 1.3394 2022/07/23 02:40:25 - mmengine - INFO - Epoch(train) [48][3580/3757] lr: 1.0000e-03 eta: 12:43:09 time: 0.2251 data_time: 0.0242 memory: 6108 grad_norm: 6.4237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6067 loss: 1.6067 2022/07/23 02:40:29 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 1.0000e-03 eta: 12:43:04 time: 0.2243 data_time: 0.0190 memory: 6108 grad_norm: 6.3936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4678 loss: 1.4678 2022/07/23 02:40:34 - mmengine - INFO - Epoch(train) [48][3620/3757] lr: 1.0000e-03 eta: 12:42:59 time: 0.2350 data_time: 0.0321 memory: 6108 grad_norm: 6.4745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5912 loss: 1.5912 2022/07/23 02:40:39 - mmengine - INFO - Epoch(train) [48][3640/3757] lr: 1.0000e-03 eta: 12:42:55 time: 0.2509 data_time: 0.0493 memory: 6108 grad_norm: 6.4146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5215 loss: 1.5215 2022/07/23 02:40:43 - mmengine - INFO - Epoch(train) [48][3660/3757] lr: 1.0000e-03 eta: 12:42:50 time: 0.2249 data_time: 0.0249 memory: 6108 grad_norm: 6.4182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/07/23 02:40:48 - mmengine - INFO - Epoch(train) [48][3680/3757] lr: 1.0000e-03 eta: 12:42:45 time: 0.2251 data_time: 0.0244 memory: 6108 grad_norm: 6.3739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3240 loss: 1.3240 2022/07/23 02:40:53 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 1.0000e-03 eta: 12:42:41 time: 0.2416 data_time: 0.0230 memory: 6108 grad_norm: 6.5824 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5641 loss: 1.5641 2022/07/23 02:40:57 - mmengine - INFO - Epoch(train) [48][3720/3757] lr: 1.0000e-03 eta: 12:42:36 time: 0.2343 data_time: 0.0181 memory: 6108 grad_norm: 6.4497 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5114 loss: 1.5114 2022/07/23 02:41:02 - mmengine - INFO - Epoch(train) [48][3740/3757] lr: 1.0000e-03 eta: 12:42:31 time: 0.2304 data_time: 0.0181 memory: 6108 grad_norm: 6.5910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3527 loss: 1.3527 2022/07/23 02:41:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:41:05 - mmengine - INFO - Epoch(train) [48][3757/3757] lr: 1.0000e-03 eta: 12:42:31 time: 0.1958 data_time: 0.0155 memory: 6108 grad_norm: 6.3560 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.4857 loss: 1.4857 2022/07/23 02:41:11 - mmengine - INFO - Epoch(val) [48][20/310] eta: 0:01:19 time: 0.2758 data_time: 0.1956 memory: 1428 2022/07/23 02:41:14 - mmengine - INFO - Epoch(val) [48][40/310] eta: 0:00:48 time: 0.1782 data_time: 0.0967 memory: 1428 2022/07/23 02:41:19 - mmengine - INFO - Epoch(val) [48][60/310] eta: 0:00:56 time: 0.2248 data_time: 0.1506 memory: 1428 2022/07/23 02:41:23 - mmengine - INFO - Epoch(val) [48][80/310] eta: 0:00:44 time: 0.1934 data_time: 0.1189 memory: 1428 2022/07/23 02:41:27 - mmengine - INFO - Epoch(val) [48][100/310] eta: 0:00:48 time: 0.2330 data_time: 0.1583 memory: 1428 2022/07/23 02:41:31 - mmengine - INFO - Epoch(val) [48][120/310] eta: 0:00:35 time: 0.1861 data_time: 0.1118 memory: 1428 2022/07/23 02:41:37 - mmengine - INFO - Epoch(val) [48][140/310] eta: 0:00:46 time: 0.2708 data_time: 0.1949 memory: 1428 2022/07/23 02:41:40 - mmengine - INFO - Epoch(val) [48][160/310] eta: 0:00:27 time: 0.1843 data_time: 0.1062 memory: 1428 2022/07/23 02:41:45 - mmengine - INFO - Epoch(val) [48][180/310] eta: 0:00:29 time: 0.2296 data_time: 0.1543 memory: 1428 2022/07/23 02:41:49 - mmengine - INFO - Epoch(val) [48][200/310] eta: 0:00:19 time: 0.1786 data_time: 0.1039 memory: 1428 2022/07/23 02:41:54 - mmengine - INFO - Epoch(val) [48][220/310] eta: 0:00:23 time: 0.2601 data_time: 0.1677 memory: 1428 2022/07/23 02:41:57 - mmengine - INFO - Epoch(val) [48][240/310] eta: 0:00:13 time: 0.1877 data_time: 0.1149 memory: 1428 2022/07/23 02:42:03 - mmengine - INFO - Epoch(val) [48][260/310] eta: 0:00:12 time: 0.2559 data_time: 0.1837 memory: 1428 2022/07/23 02:42:06 - mmengine - INFO - Epoch(val) [48][280/310] eta: 0:00:05 time: 0.1828 data_time: 0.1081 memory: 1428 2022/07/23 02:42:11 - mmengine - INFO - Epoch(val) [48][300/310] eta: 0:00:02 time: 0.2160 data_time: 0.1449 memory: 1428 2022/07/23 02:42:14 - mmengine - INFO - Epoch(val) [48][310/310] acc/top1: 0.6435 acc/top5: 0.8544 acc/mean1: 0.6434 2022/07/23 02:42:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_46.pth is removed 2022/07/23 02:42:16 - mmengine - INFO - The best checkpoint with 0.6435 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/07/23 02:42:22 - mmengine - INFO - Epoch(train) [49][20/3757] lr: 1.0000e-03 eta: 12:42:19 time: 0.2869 data_time: 0.1018 memory: 6108 grad_norm: 6.3986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5734 loss: 1.5734 2022/07/23 02:42:27 - mmengine - INFO - Epoch(train) [49][40/3757] lr: 1.0000e-03 eta: 12:42:15 time: 0.2348 data_time: 0.0283 memory: 6108 grad_norm: 6.3788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/07/23 02:42:32 - mmengine - INFO - Epoch(train) [49][60/3757] lr: 1.0000e-03 eta: 12:42:10 time: 0.2476 data_time: 0.0227 memory: 6108 grad_norm: 6.1617 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5644 loss: 1.5644 2022/07/23 02:42:36 - mmengine - INFO - Epoch(train) [49][80/3757] lr: 1.0000e-03 eta: 12:42:05 time: 0.2224 data_time: 0.0177 memory: 6108 grad_norm: 6.2190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/07/23 02:42:41 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 1.0000e-03 eta: 12:42:01 time: 0.2295 data_time: 0.0216 memory: 6108 grad_norm: 6.1577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2121 loss: 1.2121 2022/07/23 02:42:45 - mmengine - INFO - Epoch(train) [49][120/3757] lr: 1.0000e-03 eta: 12:41:56 time: 0.2270 data_time: 0.0212 memory: 6108 grad_norm: 6.1949 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4860 loss: 1.4860 2022/07/23 02:42:50 - mmengine - INFO - Epoch(train) [49][140/3757] lr: 1.0000e-03 eta: 12:41:51 time: 0.2258 data_time: 0.0198 memory: 6108 grad_norm: 6.3513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8837 loss: 1.8837 2022/07/23 02:42:54 - mmengine - INFO - Epoch(train) [49][160/3757] lr: 1.0000e-03 eta: 12:41:46 time: 0.2336 data_time: 0.0197 memory: 6108 grad_norm: 6.5442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5859 loss: 1.5859 2022/07/23 02:42:59 - mmengine - INFO - Epoch(train) [49][180/3757] lr: 1.0000e-03 eta: 12:41:42 time: 0.2423 data_time: 0.0378 memory: 6108 grad_norm: 6.4871 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5992 loss: 1.5992 2022/07/23 02:43:04 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 1.0000e-03 eta: 12:41:37 time: 0.2357 data_time: 0.0190 memory: 6108 grad_norm: 6.3873 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4695 loss: 1.4695 2022/07/23 02:43:09 - mmengine - INFO - Epoch(train) [49][220/3757] lr: 1.0000e-03 eta: 12:41:32 time: 0.2304 data_time: 0.0186 memory: 6108 grad_norm: 6.4270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5659 loss: 1.5659 2022/07/23 02:43:13 - mmengine - INFO - Epoch(train) [49][240/3757] lr: 1.0000e-03 eta: 12:41:28 time: 0.2261 data_time: 0.0227 memory: 6108 grad_norm: 6.3402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3331 loss: 1.3331 2022/07/23 02:43:18 - mmengine - INFO - Epoch(train) [49][260/3757] lr: 1.0000e-03 eta: 12:41:23 time: 0.2263 data_time: 0.0200 memory: 6108 grad_norm: 6.1834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6225 loss: 1.6225 2022/07/23 02:43:23 - mmengine - INFO - Epoch(train) [49][280/3757] lr: 1.0000e-03 eta: 12:41:18 time: 0.2392 data_time: 0.0239 memory: 6108 grad_norm: 6.5082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2444 loss: 1.2444 2022/07/23 02:43:27 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 1.0000e-03 eta: 12:41:13 time: 0.2252 data_time: 0.0215 memory: 6108 grad_norm: 6.3132 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5384 loss: 1.5384 2022/07/23 02:43:32 - mmengine - INFO - Epoch(train) [49][320/3757] lr: 1.0000e-03 eta: 12:41:09 time: 0.2629 data_time: 0.0188 memory: 6108 grad_norm: 6.5676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6644 loss: 1.6644 2022/07/23 02:43:37 - mmengine - INFO - Epoch(train) [49][340/3757] lr: 1.0000e-03 eta: 12:41:04 time: 0.2294 data_time: 0.0290 memory: 6108 grad_norm: 6.3363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5130 loss: 1.5130 2022/07/23 02:43:42 - mmengine - INFO - Epoch(train) [49][360/3757] lr: 1.0000e-03 eta: 12:41:00 time: 0.2487 data_time: 0.0291 memory: 6108 grad_norm: 6.4467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5188 loss: 1.5188 2022/07/23 02:43:46 - mmengine - INFO - Epoch(train) [49][380/3757] lr: 1.0000e-03 eta: 12:40:55 time: 0.2237 data_time: 0.0216 memory: 6108 grad_norm: 6.3426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5875 loss: 1.5875 2022/07/23 02:43:51 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 1.0000e-03 eta: 12:40:50 time: 0.2243 data_time: 0.0189 memory: 6108 grad_norm: 6.5407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/07/23 02:43:56 - mmengine - INFO - Epoch(train) [49][420/3757] lr: 1.0000e-03 eta: 12:40:45 time: 0.2273 data_time: 0.0220 memory: 6108 grad_norm: 6.4621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5693 loss: 1.5693 2022/07/23 02:44:01 - mmengine - INFO - Epoch(train) [49][440/3757] lr: 1.0000e-03 eta: 12:40:42 time: 0.2798 data_time: 0.0210 memory: 6108 grad_norm: 6.2016 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2854 loss: 1.2854 2022/07/23 02:44:06 - mmengine - INFO - Epoch(train) [49][460/3757] lr: 1.0000e-03 eta: 12:40:37 time: 0.2181 data_time: 0.0216 memory: 6108 grad_norm: 6.5590 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9073 loss: 1.9073 2022/07/23 02:44:10 - mmengine - INFO - Epoch(train) [49][480/3757] lr: 1.0000e-03 eta: 12:40:32 time: 0.2264 data_time: 0.0190 memory: 6108 grad_norm: 6.4264 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3219 loss: 1.3219 2022/07/23 02:44:15 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 1.0000e-03 eta: 12:40:27 time: 0.2193 data_time: 0.0190 memory: 6108 grad_norm: 6.4919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/07/23 02:44:20 - mmengine - INFO - Epoch(train) [49][520/3757] lr: 1.0000e-03 eta: 12:40:23 time: 0.2731 data_time: 0.0181 memory: 6108 grad_norm: 6.5379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6006 loss: 1.6006 2022/07/23 02:44:25 - mmengine - INFO - Epoch(train) [49][540/3757] lr: 1.0000e-03 eta: 12:40:18 time: 0.2355 data_time: 0.0225 memory: 6108 grad_norm: 6.3973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5352 loss: 1.5352 2022/07/23 02:44:29 - mmengine - INFO - Epoch(train) [49][560/3757] lr: 1.0000e-03 eta: 12:40:14 time: 0.2335 data_time: 0.0199 memory: 6108 grad_norm: 6.3795 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4292 loss: 1.4292 2022/07/23 02:44:35 - mmengine - INFO - Epoch(train) [49][580/3757] lr: 1.0000e-03 eta: 12:40:09 time: 0.2623 data_time: 0.0199 memory: 6108 grad_norm: 6.4385 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6657 loss: 1.6657 2022/07/23 02:44:39 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 1.0000e-03 eta: 12:40:05 time: 0.2299 data_time: 0.0188 memory: 6108 grad_norm: 6.7004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/07/23 02:44:44 - mmengine - INFO - Epoch(train) [49][620/3757] lr: 1.0000e-03 eta: 12:40:00 time: 0.2354 data_time: 0.0246 memory: 6108 grad_norm: 6.4060 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3500 loss: 1.3500 2022/07/23 02:44:49 - mmengine - INFO - Epoch(train) [49][640/3757] lr: 1.0000e-03 eta: 12:39:55 time: 0.2263 data_time: 0.0252 memory: 6108 grad_norm: 6.4189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5112 loss: 1.5112 2022/07/23 02:44:53 - mmengine - INFO - Epoch(train) [49][660/3757] lr: 1.0000e-03 eta: 12:39:51 time: 0.2403 data_time: 0.0265 memory: 6108 grad_norm: 6.3322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/07/23 02:44:54 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:44:58 - mmengine - INFO - Epoch(train) [49][680/3757] lr: 1.0000e-03 eta: 12:39:46 time: 0.2286 data_time: 0.0219 memory: 6108 grad_norm: 6.4709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5973 loss: 1.5973 2022/07/23 02:45:03 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 1.0000e-03 eta: 12:39:41 time: 0.2328 data_time: 0.0170 memory: 6108 grad_norm: 6.5964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4481 loss: 1.4481 2022/07/23 02:45:07 - mmengine - INFO - Epoch(train) [49][720/3757] lr: 1.0000e-03 eta: 12:39:36 time: 0.2223 data_time: 0.0227 memory: 6108 grad_norm: 6.6420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7232 loss: 1.7232 2022/07/23 02:45:12 - mmengine - INFO - Epoch(train) [49][740/3757] lr: 1.0000e-03 eta: 12:39:32 time: 0.2448 data_time: 0.0214 memory: 6108 grad_norm: 6.3622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3665 loss: 1.3665 2022/07/23 02:45:16 - mmengine - INFO - Epoch(train) [49][760/3757] lr: 1.0000e-03 eta: 12:39:27 time: 0.2235 data_time: 0.0158 memory: 6108 grad_norm: 6.4060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/07/23 02:45:21 - mmengine - INFO - Epoch(train) [49][780/3757] lr: 1.0000e-03 eta: 12:39:22 time: 0.2343 data_time: 0.0213 memory: 6108 grad_norm: 6.5385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/07/23 02:45:26 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 1.0000e-03 eta: 12:39:17 time: 0.2323 data_time: 0.0272 memory: 6108 grad_norm: 6.5457 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5651 loss: 1.5651 2022/07/23 02:45:31 - mmengine - INFO - Epoch(train) [49][820/3757] lr: 1.0000e-03 eta: 12:39:13 time: 0.2554 data_time: 0.0201 memory: 6108 grad_norm: 6.3344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4966 loss: 1.4966 2022/07/23 02:45:36 - mmengine - INFO - Epoch(train) [49][840/3757] lr: 1.0000e-03 eta: 12:39:08 time: 0.2289 data_time: 0.0189 memory: 6108 grad_norm: 6.2029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7571 loss: 1.7571 2022/07/23 02:45:40 - mmengine - INFO - Epoch(train) [49][860/3757] lr: 1.0000e-03 eta: 12:39:04 time: 0.2444 data_time: 0.0205 memory: 6108 grad_norm: 6.3010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3268 loss: 1.3268 2022/07/23 02:45:45 - mmengine - INFO - Epoch(train) [49][880/3757] lr: 1.0000e-03 eta: 12:38:59 time: 0.2391 data_time: 0.0199 memory: 6108 grad_norm: 6.4536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4893 loss: 1.4893 2022/07/23 02:45:50 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 1.0000e-03 eta: 12:38:55 time: 0.2295 data_time: 0.0198 memory: 6108 grad_norm: 6.3308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4937 loss: 1.4937 2022/07/23 02:45:55 - mmengine - INFO - Epoch(train) [49][920/3757] lr: 1.0000e-03 eta: 12:38:50 time: 0.2338 data_time: 0.0316 memory: 6108 grad_norm: 6.4320 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3285 loss: 1.3285 2022/07/23 02:45:59 - mmengine - INFO - Epoch(train) [49][940/3757] lr: 1.0000e-03 eta: 12:38:45 time: 0.2365 data_time: 0.0156 memory: 6108 grad_norm: 6.3893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5712 loss: 1.5712 2022/07/23 02:46:04 - mmengine - INFO - Epoch(train) [49][960/3757] lr: 1.0000e-03 eta: 12:38:41 time: 0.2329 data_time: 0.0234 memory: 6108 grad_norm: 6.4580 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3249 loss: 1.3249 2022/07/23 02:46:09 - mmengine - INFO - Epoch(train) [49][980/3757] lr: 1.0000e-03 eta: 12:38:36 time: 0.2320 data_time: 0.0261 memory: 6108 grad_norm: 6.0904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5832 loss: 1.5832 2022/07/23 02:46:13 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 1.0000e-03 eta: 12:38:31 time: 0.2271 data_time: 0.0231 memory: 6108 grad_norm: 6.4801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5635 loss: 1.5635 2022/07/23 02:46:18 - mmengine - INFO - Epoch(train) [49][1020/3757] lr: 1.0000e-03 eta: 12:38:26 time: 0.2251 data_time: 0.0251 memory: 6108 grad_norm: 6.1450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7308 loss: 1.7308 2022/07/23 02:46:22 - mmengine - INFO - Epoch(train) [49][1040/3757] lr: 1.0000e-03 eta: 12:38:21 time: 0.2270 data_time: 0.0219 memory: 6108 grad_norm: 6.6747 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7420 loss: 1.7420 2022/07/23 02:46:27 - mmengine - INFO - Epoch(train) [49][1060/3757] lr: 1.0000e-03 eta: 12:38:16 time: 0.2244 data_time: 0.0195 memory: 6108 grad_norm: 6.4156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5613 loss: 1.5613 2022/07/23 02:46:31 - mmengine - INFO - Epoch(train) [49][1080/3757] lr: 1.0000e-03 eta: 12:38:11 time: 0.2238 data_time: 0.0166 memory: 6108 grad_norm: 6.5708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4261 loss: 1.4261 2022/07/23 02:46:36 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 1.0000e-03 eta: 12:38:07 time: 0.2332 data_time: 0.0249 memory: 6108 grad_norm: 6.5446 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6312 loss: 1.6312 2022/07/23 02:46:41 - mmengine - INFO - Epoch(train) [49][1120/3757] lr: 1.0000e-03 eta: 12:38:02 time: 0.2507 data_time: 0.0213 memory: 6108 grad_norm: 6.4593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7080 loss: 1.7080 2022/07/23 02:46:46 - mmengine - INFO - Epoch(train) [49][1140/3757] lr: 1.0000e-03 eta: 12:37:58 time: 0.2373 data_time: 0.0188 memory: 6108 grad_norm: 6.5368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4668 loss: 1.4668 2022/07/23 02:46:50 - mmengine - INFO - Epoch(train) [49][1160/3757] lr: 1.0000e-03 eta: 12:37:53 time: 0.2273 data_time: 0.0278 memory: 6108 grad_norm: 6.1208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3532 loss: 1.3532 2022/07/23 02:46:55 - mmengine - INFO - Epoch(train) [49][1180/3757] lr: 1.0000e-03 eta: 12:37:48 time: 0.2417 data_time: 0.0177 memory: 6108 grad_norm: 6.4586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4373 loss: 1.4373 2022/07/23 02:47:00 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 1.0000e-03 eta: 12:37:44 time: 0.2266 data_time: 0.0222 memory: 6108 grad_norm: 6.5696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4350 loss: 1.4350 2022/07/23 02:47:04 - mmengine - INFO - Epoch(train) [49][1220/3757] lr: 1.0000e-03 eta: 12:37:39 time: 0.2317 data_time: 0.0219 memory: 6108 grad_norm: 6.6380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3245 loss: 1.3245 2022/07/23 02:47:09 - mmengine - INFO - Epoch(train) [49][1240/3757] lr: 1.0000e-03 eta: 12:37:34 time: 0.2300 data_time: 0.0179 memory: 6108 grad_norm: 6.2989 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2046 loss: 1.2046 2022/07/23 02:47:14 - mmengine - INFO - Epoch(train) [49][1260/3757] lr: 1.0000e-03 eta: 12:37:30 time: 0.2384 data_time: 0.0215 memory: 6108 grad_norm: 6.6328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2742 loss: 1.2742 2022/07/23 02:47:19 - mmengine - INFO - Epoch(train) [49][1280/3757] lr: 1.0000e-03 eta: 12:37:25 time: 0.2378 data_time: 0.0228 memory: 6108 grad_norm: 6.2285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3260 loss: 1.3260 2022/07/23 02:47:23 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 1.0000e-03 eta: 12:37:20 time: 0.2412 data_time: 0.0191 memory: 6108 grad_norm: 6.2339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3324 loss: 1.3324 2022/07/23 02:47:28 - mmengine - INFO - Epoch(train) [49][1320/3757] lr: 1.0000e-03 eta: 12:37:16 time: 0.2253 data_time: 0.0209 memory: 6108 grad_norm: 6.5251 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4428 loss: 1.4428 2022/07/23 02:47:33 - mmengine - INFO - Epoch(train) [49][1340/3757] lr: 1.0000e-03 eta: 12:37:11 time: 0.2506 data_time: 0.0205 memory: 6108 grad_norm: 6.3511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6880 loss: 1.6880 2022/07/23 02:47:38 - mmengine - INFO - Epoch(train) [49][1360/3757] lr: 1.0000e-03 eta: 12:37:07 time: 0.2361 data_time: 0.0223 memory: 6108 grad_norm: 6.5984 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/07/23 02:47:42 - mmengine - INFO - Epoch(train) [49][1380/3757] lr: 1.0000e-03 eta: 12:37:02 time: 0.2357 data_time: 0.0217 memory: 6108 grad_norm: 6.4773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/07/23 02:47:47 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 1.0000e-03 eta: 12:36:57 time: 0.2306 data_time: 0.0289 memory: 6108 grad_norm: 6.4565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5943 loss: 1.5943 2022/07/23 02:47:52 - mmengine - INFO - Epoch(train) [49][1420/3757] lr: 1.0000e-03 eta: 12:36:52 time: 0.2313 data_time: 0.0189 memory: 6108 grad_norm: 6.3959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/07/23 02:47:57 - mmengine - INFO - Epoch(train) [49][1440/3757] lr: 1.0000e-03 eta: 12:36:48 time: 0.2389 data_time: 0.0192 memory: 6108 grad_norm: 6.5278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/07/23 02:48:02 - mmengine - INFO - Epoch(train) [49][1460/3757] lr: 1.0000e-03 eta: 12:36:43 time: 0.2494 data_time: 0.0238 memory: 6108 grad_norm: 6.5667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8952 loss: 1.8952 2022/07/23 02:48:06 - mmengine - INFO - Epoch(train) [49][1480/3757] lr: 1.0000e-03 eta: 12:36:39 time: 0.2256 data_time: 0.0269 memory: 6108 grad_norm: 6.5556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5167 loss: 1.5167 2022/07/23 02:48:11 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 1.0000e-03 eta: 12:36:34 time: 0.2326 data_time: 0.0200 memory: 6108 grad_norm: 6.3272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3078 loss: 1.3078 2022/07/23 02:48:15 - mmengine - INFO - Epoch(train) [49][1520/3757] lr: 1.0000e-03 eta: 12:36:29 time: 0.2291 data_time: 0.0250 memory: 6108 grad_norm: 6.3589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4117 loss: 1.4117 2022/07/23 02:48:21 - mmengine - INFO - Epoch(train) [49][1540/3757] lr: 1.0000e-03 eta: 12:36:25 time: 0.2627 data_time: 0.0168 memory: 6108 grad_norm: 6.3041 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4278 loss: 1.4278 2022/07/23 02:48:25 - mmengine - INFO - Epoch(train) [49][1560/3757] lr: 1.0000e-03 eta: 12:36:20 time: 0.2294 data_time: 0.0224 memory: 6108 grad_norm: 6.6376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6159 loss: 1.6159 2022/07/23 02:48:30 - mmengine - INFO - Epoch(train) [49][1580/3757] lr: 1.0000e-03 eta: 12:36:15 time: 0.2273 data_time: 0.0272 memory: 6108 grad_norm: 6.3535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4910 loss: 1.4910 2022/07/23 02:48:35 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 1.0000e-03 eta: 12:36:11 time: 0.2541 data_time: 0.0202 memory: 6108 grad_norm: 6.7019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3003 loss: 1.3003 2022/07/23 02:48:39 - mmengine - INFO - Epoch(train) [49][1620/3757] lr: 1.0000e-03 eta: 12:36:06 time: 0.2272 data_time: 0.0258 memory: 6108 grad_norm: 6.3139 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1662 loss: 1.1662 2022/07/23 02:48:44 - mmengine - INFO - Epoch(train) [49][1640/3757] lr: 1.0000e-03 eta: 12:36:01 time: 0.2243 data_time: 0.0274 memory: 6108 grad_norm: 6.4968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6502 loss: 1.6502 2022/07/23 02:48:49 - mmengine - INFO - Epoch(train) [49][1660/3757] lr: 1.0000e-03 eta: 12:35:57 time: 0.2416 data_time: 0.0214 memory: 6108 grad_norm: 6.5871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3949 loss: 1.3949 2022/07/23 02:48:50 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:48:53 - mmengine - INFO - Epoch(train) [49][1680/3757] lr: 1.0000e-03 eta: 12:35:52 time: 0.2276 data_time: 0.0183 memory: 6108 grad_norm: 6.5157 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5102 loss: 1.5102 2022/07/23 02:48:58 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 1.0000e-03 eta: 12:35:48 time: 0.2409 data_time: 0.0235 memory: 6108 grad_norm: 6.6547 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2297 loss: 1.2297 2022/07/23 02:49:03 - mmengine - INFO - Epoch(train) [49][1720/3757] lr: 1.0000e-03 eta: 12:35:43 time: 0.2508 data_time: 0.0229 memory: 6108 grad_norm: 6.4192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4389 loss: 1.4389 2022/07/23 02:49:08 - mmengine - INFO - Epoch(train) [49][1740/3757] lr: 1.0000e-03 eta: 12:35:38 time: 0.2263 data_time: 0.0214 memory: 6108 grad_norm: 6.6620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/07/23 02:49:13 - mmengine - INFO - Epoch(train) [49][1760/3757] lr: 1.0000e-03 eta: 12:35:34 time: 0.2411 data_time: 0.0223 memory: 6108 grad_norm: 6.4899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3706 loss: 1.3706 2022/07/23 02:49:17 - mmengine - INFO - Epoch(train) [49][1780/3757] lr: 1.0000e-03 eta: 12:35:29 time: 0.2304 data_time: 0.0181 memory: 6108 grad_norm: 6.2400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3647 loss: 1.3647 2022/07/23 02:49:22 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 1.0000e-03 eta: 12:35:24 time: 0.2381 data_time: 0.0189 memory: 6108 grad_norm: 6.5491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/07/23 02:49:27 - mmengine - INFO - Epoch(train) [49][1820/3757] lr: 1.0000e-03 eta: 12:35:20 time: 0.2234 data_time: 0.0233 memory: 6108 grad_norm: 6.2301 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4475 loss: 1.4475 2022/07/23 02:49:31 - mmengine - INFO - Epoch(train) [49][1840/3757] lr: 1.0000e-03 eta: 12:35:15 time: 0.2371 data_time: 0.0199 memory: 6108 grad_norm: 6.3191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/07/23 02:49:36 - mmengine - INFO - Epoch(train) [49][1860/3757] lr: 1.0000e-03 eta: 12:35:10 time: 0.2257 data_time: 0.0184 memory: 6108 grad_norm: 6.6832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7461 loss: 1.7461 2022/07/23 02:49:41 - mmengine - INFO - Epoch(train) [49][1880/3757] lr: 1.0000e-03 eta: 12:35:06 time: 0.2756 data_time: 0.0287 memory: 6108 grad_norm: 6.4796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4560 loss: 1.4560 2022/07/23 02:49:46 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 1.0000e-03 eta: 12:35:01 time: 0.2200 data_time: 0.0169 memory: 6108 grad_norm: 6.6986 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5343 loss: 1.5343 2022/07/23 02:49:50 - mmengine - INFO - Epoch(train) [49][1920/3757] lr: 1.0000e-03 eta: 12:34:56 time: 0.2278 data_time: 0.0207 memory: 6108 grad_norm: 6.4811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/07/23 02:49:55 - mmengine - INFO - Epoch(train) [49][1940/3757] lr: 1.0000e-03 eta: 12:34:52 time: 0.2279 data_time: 0.0198 memory: 6108 grad_norm: 6.1653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/07/23 02:50:00 - mmengine - INFO - Epoch(train) [49][1960/3757] lr: 1.0000e-03 eta: 12:34:47 time: 0.2282 data_time: 0.0235 memory: 6108 grad_norm: 6.2841 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4072 loss: 1.4072 2022/07/23 02:50:04 - mmengine - INFO - Epoch(train) [49][1980/3757] lr: 1.0000e-03 eta: 12:34:42 time: 0.2385 data_time: 0.0184 memory: 6108 grad_norm: 6.2524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7163 loss: 1.7163 2022/07/23 02:50:09 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 1.0000e-03 eta: 12:34:37 time: 0.2285 data_time: 0.0242 memory: 6108 grad_norm: 6.4464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1661 loss: 1.1661 2022/07/23 02:50:14 - mmengine - INFO - Epoch(train) [49][2020/3757] lr: 1.0000e-03 eta: 12:34:33 time: 0.2350 data_time: 0.0170 memory: 6108 grad_norm: 6.4338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4587 loss: 1.4587 2022/07/23 02:50:18 - mmengine - INFO - Epoch(train) [49][2040/3757] lr: 1.0000e-03 eta: 12:34:28 time: 0.2293 data_time: 0.0203 memory: 6108 grad_norm: 6.2078 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6886 loss: 1.6886 2022/07/23 02:50:23 - mmengine - INFO - Epoch(train) [49][2060/3757] lr: 1.0000e-03 eta: 12:34:23 time: 0.2384 data_time: 0.0208 memory: 6108 grad_norm: 6.6056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3782 loss: 1.3782 2022/07/23 02:50:28 - mmengine - INFO - Epoch(train) [49][2080/3757] lr: 1.0000e-03 eta: 12:34:19 time: 0.2349 data_time: 0.0195 memory: 6108 grad_norm: 6.2986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1214 loss: 1.1214 2022/07/23 02:50:33 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 1.0000e-03 eta: 12:34:15 time: 0.2598 data_time: 0.0194 memory: 6108 grad_norm: 6.4320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3573 loss: 1.3573 2022/07/23 02:50:37 - mmengine - INFO - Epoch(train) [49][2120/3757] lr: 1.0000e-03 eta: 12:34:10 time: 0.2182 data_time: 0.0228 memory: 6108 grad_norm: 6.6507 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/07/23 02:50:42 - mmengine - INFO - Epoch(train) [49][2140/3757] lr: 1.0000e-03 eta: 12:34:05 time: 0.2404 data_time: 0.0205 memory: 6108 grad_norm: 6.3410 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5740 loss: 1.5740 2022/07/23 02:50:47 - mmengine - INFO - Epoch(train) [49][2160/3757] lr: 1.0000e-03 eta: 12:34:00 time: 0.2304 data_time: 0.0261 memory: 6108 grad_norm: 6.5829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/07/23 02:50:51 - mmengine - INFO - Epoch(train) [49][2180/3757] lr: 1.0000e-03 eta: 12:33:56 time: 0.2350 data_time: 0.0266 memory: 6108 grad_norm: 6.5796 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/07/23 02:50:56 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 1.0000e-03 eta: 12:33:51 time: 0.2274 data_time: 0.0221 memory: 6108 grad_norm: 6.4372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5540 loss: 1.5540 2022/07/23 02:51:01 - mmengine - INFO - Epoch(train) [49][2220/3757] lr: 1.0000e-03 eta: 12:33:46 time: 0.2237 data_time: 0.0242 memory: 6108 grad_norm: 6.6000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/07/23 02:51:05 - mmengine - INFO - Epoch(train) [49][2240/3757] lr: 1.0000e-03 eta: 12:33:41 time: 0.2416 data_time: 0.0293 memory: 6108 grad_norm: 6.4899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/07/23 02:51:10 - mmengine - INFO - Epoch(train) [49][2260/3757] lr: 1.0000e-03 eta: 12:33:36 time: 0.2244 data_time: 0.0189 memory: 6108 grad_norm: 6.3237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3183 loss: 1.3183 2022/07/23 02:51:15 - mmengine - INFO - Epoch(train) [49][2280/3757] lr: 1.0000e-03 eta: 12:33:32 time: 0.2320 data_time: 0.0177 memory: 6108 grad_norm: 6.4459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/07/23 02:51:19 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 1.0000e-03 eta: 12:33:27 time: 0.2234 data_time: 0.0221 memory: 6108 grad_norm: 6.6151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6582 loss: 1.6582 2022/07/23 02:51:24 - mmengine - INFO - Epoch(train) [49][2320/3757] lr: 1.0000e-03 eta: 12:33:22 time: 0.2404 data_time: 0.0228 memory: 6108 grad_norm: 6.7678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/07/23 02:51:28 - mmengine - INFO - Epoch(train) [49][2340/3757] lr: 1.0000e-03 eta: 12:33:17 time: 0.2265 data_time: 0.0240 memory: 6108 grad_norm: 6.6042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2640 loss: 1.2640 2022/07/23 02:51:33 - mmengine - INFO - Epoch(train) [49][2360/3757] lr: 1.0000e-03 eta: 12:33:13 time: 0.2251 data_time: 0.0240 memory: 6108 grad_norm: 6.4751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6182 loss: 1.6182 2022/07/23 02:51:37 - mmengine - INFO - Epoch(train) [49][2380/3757] lr: 1.0000e-03 eta: 12:33:08 time: 0.2258 data_time: 0.0254 memory: 6108 grad_norm: 6.3608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2362 loss: 1.2362 2022/07/23 02:51:42 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 1.0000e-03 eta: 12:33:03 time: 0.2431 data_time: 0.0169 memory: 6108 grad_norm: 6.4390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3961 loss: 1.3961 2022/07/23 02:51:47 - mmengine - INFO - Epoch(train) [49][2420/3757] lr: 1.0000e-03 eta: 12:32:58 time: 0.2274 data_time: 0.0235 memory: 6108 grad_norm: 6.7273 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4935 loss: 1.4935 2022/07/23 02:51:52 - mmengine - INFO - Epoch(train) [49][2440/3757] lr: 1.0000e-03 eta: 12:32:54 time: 0.2673 data_time: 0.0203 memory: 6108 grad_norm: 6.5410 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4301 loss: 1.4301 2022/07/23 02:51:57 - mmengine - INFO - Epoch(train) [49][2460/3757] lr: 1.0000e-03 eta: 12:32:49 time: 0.2216 data_time: 0.0203 memory: 6108 grad_norm: 6.6436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5053 loss: 1.5053 2022/07/23 02:52:02 - mmengine - INFO - Epoch(train) [49][2480/3757] lr: 1.0000e-03 eta: 12:32:46 time: 0.2779 data_time: 0.0273 memory: 6108 grad_norm: 6.5836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1867 loss: 1.1867 2022/07/23 02:52:07 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 1.0000e-03 eta: 12:32:41 time: 0.2197 data_time: 0.0185 memory: 6108 grad_norm: 6.4534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6381 loss: 1.6381 2022/07/23 02:52:11 - mmengine - INFO - Epoch(train) [49][2520/3757] lr: 1.0000e-03 eta: 12:32:36 time: 0.2302 data_time: 0.0234 memory: 6108 grad_norm: 6.5709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5549 loss: 1.5549 2022/07/23 02:52:16 - mmengine - INFO - Epoch(train) [49][2540/3757] lr: 1.0000e-03 eta: 12:32:31 time: 0.2345 data_time: 0.0249 memory: 6108 grad_norm: 6.5054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4780 loss: 1.4780 2022/07/23 02:52:20 - mmengine - INFO - Epoch(train) [49][2560/3757] lr: 1.0000e-03 eta: 12:32:26 time: 0.2211 data_time: 0.0204 memory: 6108 grad_norm: 6.5632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5289 loss: 1.5289 2022/07/23 02:52:25 - mmengine - INFO - Epoch(train) [49][2580/3757] lr: 1.0000e-03 eta: 12:32:22 time: 0.2313 data_time: 0.0178 memory: 6108 grad_norm: 6.4952 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5175 loss: 1.5175 2022/07/23 02:52:30 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 1.0000e-03 eta: 12:32:17 time: 0.2335 data_time: 0.0223 memory: 6108 grad_norm: 6.7038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4480 loss: 1.4480 2022/07/23 02:52:35 - mmengine - INFO - Epoch(train) [49][2620/3757] lr: 1.0000e-03 eta: 12:32:13 time: 0.2568 data_time: 0.0219 memory: 6108 grad_norm: 6.4857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/07/23 02:52:40 - mmengine - INFO - Epoch(train) [49][2640/3757] lr: 1.0000e-03 eta: 12:32:08 time: 0.2266 data_time: 0.0209 memory: 6108 grad_norm: 6.1447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3092 loss: 1.3092 2022/07/23 02:52:44 - mmengine - INFO - Epoch(train) [49][2660/3757] lr: 1.0000e-03 eta: 12:32:03 time: 0.2254 data_time: 0.0229 memory: 6108 grad_norm: 6.4067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5494 loss: 1.5494 2022/07/23 02:52:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:52:49 - mmengine - INFO - Epoch(train) [49][2680/3757] lr: 1.0000e-03 eta: 12:31:58 time: 0.2257 data_time: 0.0212 memory: 6108 grad_norm: 6.3164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/07/23 02:52:54 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 1.0000e-03 eta: 12:31:54 time: 0.2464 data_time: 0.0219 memory: 6108 grad_norm: 6.3801 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7020 loss: 1.7020 2022/07/23 02:52:58 - mmengine - INFO - Epoch(train) [49][2720/3757] lr: 1.0000e-03 eta: 12:31:49 time: 0.2275 data_time: 0.0229 memory: 6108 grad_norm: 6.4556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3643 loss: 1.3643 2022/07/23 02:53:03 - mmengine - INFO - Epoch(train) [49][2740/3757] lr: 1.0000e-03 eta: 12:31:44 time: 0.2256 data_time: 0.0230 memory: 6108 grad_norm: 6.3945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4621 loss: 1.4621 2022/07/23 02:53:07 - mmengine - INFO - Epoch(train) [49][2760/3757] lr: 1.0000e-03 eta: 12:31:39 time: 0.2250 data_time: 0.0188 memory: 6108 grad_norm: 6.5147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4779 loss: 1.4779 2022/07/23 02:53:12 - mmengine - INFO - Epoch(train) [49][2780/3757] lr: 1.0000e-03 eta: 12:31:35 time: 0.2590 data_time: 0.0279 memory: 6108 grad_norm: 6.5491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5843 loss: 1.5843 2022/07/23 02:53:17 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 1.0000e-03 eta: 12:31:30 time: 0.2292 data_time: 0.0189 memory: 6108 grad_norm: 6.3144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3748 loss: 1.3748 2022/07/23 02:53:22 - mmengine - INFO - Epoch(train) [49][2820/3757] lr: 1.0000e-03 eta: 12:31:26 time: 0.2397 data_time: 0.0212 memory: 6108 grad_norm: 6.6861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5313 loss: 1.5313 2022/07/23 02:53:26 - mmengine - INFO - Epoch(train) [49][2840/3757] lr: 1.0000e-03 eta: 12:31:21 time: 0.2334 data_time: 0.0207 memory: 6108 grad_norm: 6.1391 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2231 loss: 1.2231 2022/07/23 02:53:31 - mmengine - INFO - Epoch(train) [49][2860/3757] lr: 1.0000e-03 eta: 12:31:16 time: 0.2495 data_time: 0.0167 memory: 6108 grad_norm: 6.2631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6827 loss: 1.6827 2022/07/23 02:53:36 - mmengine - INFO - Epoch(train) [49][2880/3757] lr: 1.0000e-03 eta: 12:31:12 time: 0.2266 data_time: 0.0206 memory: 6108 grad_norm: 6.3605 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3820 loss: 1.3820 2022/07/23 02:53:41 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 1.0000e-03 eta: 12:31:07 time: 0.2239 data_time: 0.0271 memory: 6108 grad_norm: 6.5184 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3201 loss: 1.3201 2022/07/23 02:53:45 - mmengine - INFO - Epoch(train) [49][2920/3757] lr: 1.0000e-03 eta: 12:31:02 time: 0.2213 data_time: 0.0221 memory: 6108 grad_norm: 6.4791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/07/23 02:53:49 - mmengine - INFO - Epoch(train) [49][2940/3757] lr: 1.0000e-03 eta: 12:30:57 time: 0.2243 data_time: 0.0202 memory: 6108 grad_norm: 6.3380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3583 loss: 1.3583 2022/07/23 02:53:55 - mmengine - INFO - Epoch(train) [49][2960/3757] lr: 1.0000e-03 eta: 12:30:53 time: 0.2588 data_time: 0.0242 memory: 6108 grad_norm: 6.5656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3710 loss: 1.3710 2022/07/23 02:53:59 - mmengine - INFO - Epoch(train) [49][2980/3757] lr: 1.0000e-03 eta: 12:30:48 time: 0.2256 data_time: 0.0198 memory: 6108 grad_norm: 6.5683 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3638 loss: 1.3638 2022/07/23 02:54:04 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 1.0000e-03 eta: 12:30:44 time: 0.2631 data_time: 0.0245 memory: 6108 grad_norm: 6.4454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4718 loss: 1.4718 2022/07/23 02:54:09 - mmengine - INFO - Epoch(train) [49][3020/3757] lr: 1.0000e-03 eta: 12:30:39 time: 0.2248 data_time: 0.0229 memory: 6108 grad_norm: 6.4714 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4734 loss: 1.4734 2022/07/23 02:54:14 - mmengine - INFO - Epoch(train) [49][3040/3757] lr: 1.0000e-03 eta: 12:30:34 time: 0.2285 data_time: 0.0183 memory: 6108 grad_norm: 6.2882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/07/23 02:54:18 - mmengine - INFO - Epoch(train) [49][3060/3757] lr: 1.0000e-03 eta: 12:30:30 time: 0.2434 data_time: 0.0208 memory: 6108 grad_norm: 6.6671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3379 loss: 1.3379 2022/07/23 02:54:23 - mmengine - INFO - Epoch(train) [49][3080/3757] lr: 1.0000e-03 eta: 12:30:25 time: 0.2344 data_time: 0.0285 memory: 6108 grad_norm: 6.3914 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4944 loss: 1.4944 2022/07/23 02:54:28 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 1.0000e-03 eta: 12:30:20 time: 0.2360 data_time: 0.0183 memory: 6108 grad_norm: 6.1766 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3332 loss: 1.3332 2022/07/23 02:54:33 - mmengine - INFO - Epoch(train) [49][3120/3757] lr: 1.0000e-03 eta: 12:30:16 time: 0.2379 data_time: 0.0166 memory: 6108 grad_norm: 6.3386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3720 loss: 1.3720 2022/07/23 02:54:37 - mmengine - INFO - Epoch(train) [49][3140/3757] lr: 1.0000e-03 eta: 12:30:11 time: 0.2305 data_time: 0.0242 memory: 6108 grad_norm: 6.6344 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3741 loss: 1.3741 2022/07/23 02:54:42 - mmengine - INFO - Epoch(train) [49][3160/3757] lr: 1.0000e-03 eta: 12:30:06 time: 0.2393 data_time: 0.0260 memory: 6108 grad_norm: 6.4871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3080 loss: 1.3080 2022/07/23 02:54:47 - mmengine - INFO - Epoch(train) [49][3180/3757] lr: 1.0000e-03 eta: 12:30:02 time: 0.2366 data_time: 0.0279 memory: 6108 grad_norm: 6.5317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4971 loss: 1.4971 2022/07/23 02:54:51 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 1.0000e-03 eta: 12:29:57 time: 0.2262 data_time: 0.0234 memory: 6108 grad_norm: 6.4581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2471 loss: 1.2471 2022/07/23 02:54:56 - mmengine - INFO - Epoch(train) [49][3220/3757] lr: 1.0000e-03 eta: 12:29:52 time: 0.2216 data_time: 0.0192 memory: 6108 grad_norm: 6.3760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6397 loss: 1.6397 2022/07/23 02:55:00 - mmengine - INFO - Epoch(train) [49][3240/3757] lr: 1.0000e-03 eta: 12:29:47 time: 0.2268 data_time: 0.0236 memory: 6108 grad_norm: 6.4613 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6457 loss: 1.6457 2022/07/23 02:55:05 - mmengine - INFO - Epoch(train) [49][3260/3757] lr: 1.0000e-03 eta: 12:29:43 time: 0.2406 data_time: 0.0295 memory: 6108 grad_norm: 6.4336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3527 loss: 1.3527 2022/07/23 02:55:10 - mmengine - INFO - Epoch(train) [49][3280/3757] lr: 1.0000e-03 eta: 12:29:38 time: 0.2272 data_time: 0.0255 memory: 6108 grad_norm: 6.1974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/07/23 02:55:14 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 1.0000e-03 eta: 12:29:33 time: 0.2346 data_time: 0.0203 memory: 6108 grad_norm: 6.1983 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2954 loss: 1.2954 2022/07/23 02:55:19 - mmengine - INFO - Epoch(train) [49][3320/3757] lr: 1.0000e-03 eta: 12:29:28 time: 0.2391 data_time: 0.0221 memory: 6108 grad_norm: 6.3495 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5021 loss: 1.5021 2022/07/23 02:55:24 - mmengine - INFO - Epoch(train) [49][3340/3757] lr: 1.0000e-03 eta: 12:29:24 time: 0.2588 data_time: 0.0249 memory: 6108 grad_norm: 6.2916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3354 loss: 1.3354 2022/07/23 02:55:29 - mmengine - INFO - Epoch(train) [49][3360/3757] lr: 1.0000e-03 eta: 12:29:19 time: 0.2252 data_time: 0.0204 memory: 6108 grad_norm: 6.5413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/07/23 02:55:34 - mmengine - INFO - Epoch(train) [49][3380/3757] lr: 1.0000e-03 eta: 12:29:15 time: 0.2277 data_time: 0.0239 memory: 6108 grad_norm: 6.7952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4478 loss: 1.4478 2022/07/23 02:55:38 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 1.0000e-03 eta: 12:29:10 time: 0.2247 data_time: 0.0235 memory: 6108 grad_norm: 6.8097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6380 loss: 1.6380 2022/07/23 02:55:43 - mmengine - INFO - Epoch(train) [49][3420/3757] lr: 1.0000e-03 eta: 12:29:05 time: 0.2370 data_time: 0.0197 memory: 6108 grad_norm: 6.4729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/07/23 02:55:47 - mmengine - INFO - Epoch(train) [49][3440/3757] lr: 1.0000e-03 eta: 12:29:00 time: 0.2224 data_time: 0.0228 memory: 6108 grad_norm: 6.5121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3262 loss: 1.3262 2022/07/23 02:55:52 - mmengine - INFO - Epoch(train) [49][3460/3757] lr: 1.0000e-03 eta: 12:28:55 time: 0.2318 data_time: 0.0219 memory: 6108 grad_norm: 6.6579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8216 loss: 1.8216 2022/07/23 02:55:57 - mmengine - INFO - Epoch(train) [49][3480/3757] lr: 1.0000e-03 eta: 12:28:51 time: 0.2289 data_time: 0.0243 memory: 6108 grad_norm: 6.6348 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7267 loss: 1.7267 2022/07/23 02:56:02 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 1.0000e-03 eta: 12:28:46 time: 0.2500 data_time: 0.0336 memory: 6108 grad_norm: 6.3166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4995 loss: 1.4995 2022/07/23 02:56:06 - mmengine - INFO - Epoch(train) [49][3520/3757] lr: 1.0000e-03 eta: 12:28:42 time: 0.2443 data_time: 0.0241 memory: 6108 grad_norm: 6.5789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6214 loss: 1.6214 2022/07/23 02:56:11 - mmengine - INFO - Epoch(train) [49][3540/3757] lr: 1.0000e-03 eta: 12:28:37 time: 0.2286 data_time: 0.0199 memory: 6108 grad_norm: 6.5746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3706 loss: 1.3706 2022/07/23 02:56:16 - mmengine - INFO - Epoch(train) [49][3560/3757] lr: 1.0000e-03 eta: 12:28:32 time: 0.2283 data_time: 0.0247 memory: 6108 grad_norm: 6.6479 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5854 loss: 1.5854 2022/07/23 02:56:20 - mmengine - INFO - Epoch(train) [49][3580/3757] lr: 1.0000e-03 eta: 12:28:27 time: 0.2252 data_time: 0.0225 memory: 6108 grad_norm: 6.2614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1967 loss: 1.1967 2022/07/23 02:56:25 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 1.0000e-03 eta: 12:28:23 time: 0.2378 data_time: 0.0219 memory: 6108 grad_norm: 6.5810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3971 loss: 1.3971 2022/07/23 02:56:30 - mmengine - INFO - Epoch(train) [49][3620/3757] lr: 1.0000e-03 eta: 12:28:18 time: 0.2264 data_time: 0.0217 memory: 6108 grad_norm: 6.4220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4917 loss: 1.4917 2022/07/23 02:56:36 - mmengine - INFO - Epoch(train) [49][3640/3757] lr: 1.0000e-03 eta: 12:28:15 time: 0.3279 data_time: 0.0195 memory: 6108 grad_norm: 6.6951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4063 loss: 1.4063 2022/07/23 02:56:41 - mmengine - INFO - Epoch(train) [49][3660/3757] lr: 1.0000e-03 eta: 12:28:10 time: 0.2224 data_time: 0.0198 memory: 6108 grad_norm: 6.1609 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.4863 loss: 1.4863 2022/07/23 02:56:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:56:45 - mmengine - INFO - Epoch(train) [49][3680/3757] lr: 1.0000e-03 eta: 12:28:06 time: 0.2325 data_time: 0.0265 memory: 6108 grad_norm: 6.5798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8130 loss: 1.8130 2022/07/23 02:56:50 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 1.0000e-03 eta: 12:28:01 time: 0.2368 data_time: 0.0186 memory: 6108 grad_norm: 6.5223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3630 loss: 1.3630 2022/07/23 02:56:55 - mmengine - INFO - Epoch(train) [49][3720/3757] lr: 1.0000e-03 eta: 12:27:56 time: 0.2337 data_time: 0.0257 memory: 6108 grad_norm: 6.3637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5198 loss: 1.5198 2022/07/23 02:56:59 - mmengine - INFO - Epoch(train) [49][3740/3757] lr: 1.0000e-03 eta: 12:27:51 time: 0.2295 data_time: 0.0190 memory: 6108 grad_norm: 6.2009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6013 loss: 1.6013 2022/07/23 02:57:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 02:57:03 - mmengine - INFO - Epoch(train) [49][3757/3757] lr: 1.0000e-03 eta: 12:27:51 time: 0.1948 data_time: 0.0145 memory: 6108 grad_norm: 6.4630 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.4106 loss: 1.4106 2022/07/23 02:57:08 - mmengine - INFO - Epoch(val) [49][20/310] eta: 0:01:23 time: 0.2863 data_time: 0.2021 memory: 1428 2022/07/23 02:57:12 - mmengine - INFO - Epoch(val) [49][40/310] eta: 0:00:55 time: 0.2053 data_time: 0.1288 memory: 1428 2022/07/23 02:57:16 - mmengine - INFO - Epoch(val) [49][60/310] eta: 0:00:49 time: 0.1974 data_time: 0.1209 memory: 1428 2022/07/23 02:57:20 - mmengine - INFO - Epoch(val) [49][80/310] eta: 0:00:43 time: 0.1889 data_time: 0.1136 memory: 1428 2022/07/23 02:57:25 - mmengine - INFO - Epoch(val) [49][100/310] eta: 0:00:48 time: 0.2287 data_time: 0.1372 memory: 1428 2022/07/23 02:57:29 - mmengine - INFO - Epoch(val) [49][120/310] eta: 0:00:37 time: 0.1995 data_time: 0.1257 memory: 1428 2022/07/23 02:57:33 - mmengine - INFO - Epoch(val) [49][140/310] eta: 0:00:39 time: 0.2304 data_time: 0.1534 memory: 1428 2022/07/23 02:57:38 - mmengine - INFO - Epoch(val) [49][160/310] eta: 0:00:31 time: 0.2077 data_time: 0.1345 memory: 1428 2022/07/23 02:57:42 - mmengine - INFO - Epoch(val) [49][180/310] eta: 0:00:30 time: 0.2374 data_time: 0.1617 memory: 1428 2022/07/23 02:57:46 - mmengine - INFO - Epoch(val) [49][200/310] eta: 0:00:19 time: 0.1790 data_time: 0.1039 memory: 1428 2022/07/23 02:57:51 - mmengine - INFO - Epoch(val) [49][220/310] eta: 0:00:23 time: 0.2586 data_time: 0.1850 memory: 1428 2022/07/23 02:57:55 - mmengine - INFO - Epoch(val) [49][240/310] eta: 0:00:13 time: 0.1895 data_time: 0.1138 memory: 1428 2022/07/23 02:58:00 - mmengine - INFO - Epoch(val) [49][260/310] eta: 0:00:12 time: 0.2482 data_time: 0.1732 memory: 1428 2022/07/23 02:58:04 - mmengine - INFO - Epoch(val) [49][280/310] eta: 0:00:06 time: 0.2013 data_time: 0.1173 memory: 1428 2022/07/23 02:58:08 - mmengine - INFO - Epoch(val) [49][300/310] eta: 0:00:02 time: 0.2090 data_time: 0.1370 memory: 1428 2022/07/23 02:58:12 - mmengine - INFO - Epoch(val) [49][310/310] acc/top1: 0.6454 acc/top5: 0.8536 acc/mean1: 0.6453 2022/07/23 02:58:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_49.pth is removed 2022/07/23 02:58:17 - mmengine - INFO - The best checkpoint with 0.6454 acc/top1 at 50 epoch is saved to best_acc/top1_epoch_50.pth. 2022/07/23 02:58:22 - mmengine - INFO - Epoch(train) [50][20/3757] lr: 1.0000e-03 eta: 12:27:39 time: 0.2635 data_time: 0.0716 memory: 6108 grad_norm: 6.8198 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5192 loss: 1.5192 2022/07/23 02:58:27 - mmengine - INFO - Epoch(train) [50][40/3757] lr: 1.0000e-03 eta: 12:27:35 time: 0.2326 data_time: 0.0229 memory: 6108 grad_norm: 6.4539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3514 loss: 1.3514 2022/07/23 02:58:32 - mmengine - INFO - Epoch(train) [50][60/3757] lr: 1.0000e-03 eta: 12:27:30 time: 0.2497 data_time: 0.0461 memory: 6108 grad_norm: 6.2732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4181 loss: 1.4181 2022/07/23 02:58:36 - mmengine - INFO - Epoch(train) [50][80/3757] lr: 1.0000e-03 eta: 12:27:25 time: 0.2319 data_time: 0.0210 memory: 6108 grad_norm: 6.2515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/07/23 02:58:41 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 1.0000e-03 eta: 12:27:21 time: 0.2241 data_time: 0.0206 memory: 6108 grad_norm: 6.3655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/07/23 02:58:46 - mmengine - INFO - Epoch(train) [50][120/3757] lr: 1.0000e-03 eta: 12:27:17 time: 0.2724 data_time: 0.0162 memory: 6108 grad_norm: 6.5439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/07/23 02:58:51 - mmengine - INFO - Epoch(train) [50][140/3757] lr: 1.0000e-03 eta: 12:27:12 time: 0.2290 data_time: 0.0226 memory: 6108 grad_norm: 6.4910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2597 loss: 1.2597 2022/07/23 02:58:55 - mmengine - INFO - Epoch(train) [50][160/3757] lr: 1.0000e-03 eta: 12:27:07 time: 0.2271 data_time: 0.0217 memory: 6108 grad_norm: 6.5231 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7326 loss: 1.7326 2022/07/23 02:59:00 - mmengine - INFO - Epoch(train) [50][180/3757] lr: 1.0000e-03 eta: 12:27:02 time: 0.2403 data_time: 0.0241 memory: 6108 grad_norm: 6.4949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/07/23 02:59:05 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 1.0000e-03 eta: 12:26:58 time: 0.2428 data_time: 0.0278 memory: 6108 grad_norm: 6.1910 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2595 loss: 1.2595 2022/07/23 02:59:10 - mmengine - INFO - Epoch(train) [50][220/3757] lr: 1.0000e-03 eta: 12:26:53 time: 0.2357 data_time: 0.0231 memory: 6108 grad_norm: 6.6034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4369 loss: 1.4369 2022/07/23 02:59:15 - mmengine - INFO - Epoch(train) [50][240/3757] lr: 1.0000e-03 eta: 12:26:49 time: 0.2551 data_time: 0.0214 memory: 6108 grad_norm: 6.3685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4994 loss: 1.4994 2022/07/23 02:59:19 - mmengine - INFO - Epoch(train) [50][260/3757] lr: 1.0000e-03 eta: 12:26:44 time: 0.2144 data_time: 0.0182 memory: 6108 grad_norm: 6.5994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5542 loss: 1.5542 2022/07/23 02:59:24 - mmengine - INFO - Epoch(train) [50][280/3757] lr: 1.0000e-03 eta: 12:26:39 time: 0.2301 data_time: 0.0259 memory: 6108 grad_norm: 6.4198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4527 loss: 1.4527 2022/07/23 02:59:29 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 1.0000e-03 eta: 12:26:34 time: 0.2304 data_time: 0.0185 memory: 6108 grad_norm: 6.4934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3821 loss: 1.3821 2022/07/23 02:59:33 - mmengine - INFO - Epoch(train) [50][320/3757] lr: 1.0000e-03 eta: 12:26:30 time: 0.2317 data_time: 0.0282 memory: 6108 grad_norm: 6.6545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3806 loss: 1.3806 2022/07/23 02:59:38 - mmengine - INFO - Epoch(train) [50][340/3757] lr: 1.0000e-03 eta: 12:26:25 time: 0.2318 data_time: 0.0190 memory: 6108 grad_norm: 6.5060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3874 loss: 1.3874 2022/07/23 02:59:43 - mmengine - INFO - Epoch(train) [50][360/3757] lr: 1.0000e-03 eta: 12:26:20 time: 0.2312 data_time: 0.0195 memory: 6108 grad_norm: 6.4260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/07/23 02:59:47 - mmengine - INFO - Epoch(train) [50][380/3757] lr: 1.0000e-03 eta: 12:26:15 time: 0.2271 data_time: 0.0165 memory: 6108 grad_norm: 6.6595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5359 loss: 1.5359 2022/07/23 02:59:52 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 1.0000e-03 eta: 12:26:11 time: 0.2266 data_time: 0.0213 memory: 6108 grad_norm: 6.3454 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6724 loss: 1.6724 2022/07/23 02:59:56 - mmengine - INFO - Epoch(train) [50][420/3757] lr: 1.0000e-03 eta: 12:26:06 time: 0.2330 data_time: 0.0206 memory: 6108 grad_norm: 6.3304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/07/23 03:00:01 - mmengine - INFO - Epoch(train) [50][440/3757] lr: 1.0000e-03 eta: 12:26:01 time: 0.2276 data_time: 0.0211 memory: 6108 grad_norm: 6.6761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5119 loss: 1.5119 2022/07/23 03:00:06 - mmengine - INFO - Epoch(train) [50][460/3757] lr: 1.0000e-03 eta: 12:25:56 time: 0.2365 data_time: 0.0226 memory: 6108 grad_norm: 6.2292 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4338 loss: 1.4338 2022/07/23 03:00:11 - mmengine - INFO - Epoch(train) [50][480/3757] lr: 1.0000e-03 eta: 12:25:52 time: 0.2507 data_time: 0.0188 memory: 6108 grad_norm: 6.4609 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.5343 loss: 1.5343 2022/07/23 03:00:15 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 1.0000e-03 eta: 12:25:47 time: 0.2329 data_time: 0.0196 memory: 6108 grad_norm: 6.4587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/07/23 03:00:20 - mmengine - INFO - Epoch(train) [50][520/3757] lr: 1.0000e-03 eta: 12:25:43 time: 0.2258 data_time: 0.0232 memory: 6108 grad_norm: 6.5554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5923 loss: 1.5923 2022/07/23 03:00:25 - mmengine - INFO - Epoch(train) [50][540/3757] lr: 1.0000e-03 eta: 12:25:38 time: 0.2376 data_time: 0.0179 memory: 6108 grad_norm: 6.4506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2816 loss: 1.2816 2022/07/23 03:00:29 - mmengine - INFO - Epoch(train) [50][560/3757] lr: 1.0000e-03 eta: 12:25:33 time: 0.2249 data_time: 0.0175 memory: 6108 grad_norm: 6.5266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4480 loss: 1.4480 2022/07/23 03:00:34 - mmengine - INFO - Epoch(train) [50][580/3757] lr: 1.0000e-03 eta: 12:25:28 time: 0.2370 data_time: 0.0236 memory: 6108 grad_norm: 6.4954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/07/23 03:00:39 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 1.0000e-03 eta: 12:25:24 time: 0.2279 data_time: 0.0208 memory: 6108 grad_norm: 6.3140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3648 loss: 1.3648 2022/07/23 03:00:43 - mmengine - INFO - Epoch(train) [50][620/3757] lr: 1.0000e-03 eta: 12:25:19 time: 0.2270 data_time: 0.0259 memory: 6108 grad_norm: 6.4022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/07/23 03:00:48 - mmengine - INFO - Epoch(train) [50][640/3757] lr: 1.0000e-03 eta: 12:25:14 time: 0.2394 data_time: 0.0241 memory: 6108 grad_norm: 6.6160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4019 loss: 1.4019 2022/07/23 03:00:53 - mmengine - INFO - Epoch(train) [50][660/3757] lr: 1.0000e-03 eta: 12:25:09 time: 0.2301 data_time: 0.0241 memory: 6108 grad_norm: 6.5882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4673 loss: 1.4673 2022/07/23 03:00:57 - mmengine - INFO - Epoch(train) [50][680/3757] lr: 1.0000e-03 eta: 12:25:05 time: 0.2274 data_time: 0.0212 memory: 6108 grad_norm: 6.4625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4230 loss: 1.4230 2022/07/23 03:01:02 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 1.0000e-03 eta: 12:25:00 time: 0.2298 data_time: 0.0257 memory: 6108 grad_norm: 6.5749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6622 loss: 1.6622 2022/07/23 03:01:06 - mmengine - INFO - Epoch(train) [50][720/3757] lr: 1.0000e-03 eta: 12:24:55 time: 0.2291 data_time: 0.0241 memory: 6108 grad_norm: 6.6312 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5329 loss: 1.5329 2022/07/23 03:01:11 - mmengine - INFO - Epoch(train) [50][740/3757] lr: 1.0000e-03 eta: 12:24:50 time: 0.2355 data_time: 0.0214 memory: 6108 grad_norm: 6.5338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4279 loss: 1.4279 2022/07/23 03:01:16 - mmengine - INFO - Epoch(train) [50][760/3757] lr: 1.0000e-03 eta: 12:24:46 time: 0.2356 data_time: 0.0211 memory: 6108 grad_norm: 6.2316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3084 loss: 1.3084 2022/07/23 03:01:20 - mmengine - INFO - Epoch(train) [50][780/3757] lr: 1.0000e-03 eta: 12:24:41 time: 0.2354 data_time: 0.0268 memory: 6108 grad_norm: 6.7473 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4645 loss: 1.4645 2022/07/23 03:01:25 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 1.0000e-03 eta: 12:24:36 time: 0.2250 data_time: 0.0228 memory: 6108 grad_norm: 6.6491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5872 loss: 1.5872 2022/07/23 03:01:30 - mmengine - INFO - Epoch(train) [50][820/3757] lr: 1.0000e-03 eta: 12:24:31 time: 0.2312 data_time: 0.0254 memory: 6108 grad_norm: 6.7908 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3939 loss: 1.3939 2022/07/23 03:01:34 - mmengine - INFO - Epoch(train) [50][840/3757] lr: 1.0000e-03 eta: 12:24:26 time: 0.2205 data_time: 0.0222 memory: 6108 grad_norm: 6.4264 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3653 loss: 1.3653 2022/07/23 03:01:39 - mmengine - INFO - Epoch(train) [50][860/3757] lr: 1.0000e-03 eta: 12:24:22 time: 0.2497 data_time: 0.0222 memory: 6108 grad_norm: 6.5286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6954 loss: 1.6954 2022/07/23 03:01:44 - mmengine - INFO - Epoch(train) [50][880/3757] lr: 1.0000e-03 eta: 12:24:18 time: 0.2394 data_time: 0.0335 memory: 6108 grad_norm: 6.4036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/07/23 03:01:49 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 1.0000e-03 eta: 12:24:13 time: 0.2502 data_time: 0.0486 memory: 6108 grad_norm: 6.3695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5362 loss: 1.5362 2022/07/23 03:01:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:01:53 - mmengine - INFO - Epoch(train) [50][920/3757] lr: 1.0000e-03 eta: 12:24:08 time: 0.2237 data_time: 0.0235 memory: 6108 grad_norm: 6.4207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3019 loss: 1.3019 2022/07/23 03:01:58 - mmengine - INFO - Epoch(train) [50][940/3757] lr: 1.0000e-03 eta: 12:24:04 time: 0.2297 data_time: 0.0246 memory: 6108 grad_norm: 6.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/07/23 03:02:03 - mmengine - INFO - Epoch(train) [50][960/3757] lr: 1.0000e-03 eta: 12:23:59 time: 0.2306 data_time: 0.0284 memory: 6108 grad_norm: 6.5774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6508 loss: 1.6508 2022/07/23 03:02:08 - mmengine - INFO - Epoch(train) [50][980/3757] lr: 1.0000e-03 eta: 12:23:55 time: 0.2629 data_time: 0.0202 memory: 6108 grad_norm: 6.4682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4027 loss: 1.4027 2022/07/23 03:02:13 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 1.0000e-03 eta: 12:23:50 time: 0.2412 data_time: 0.0233 memory: 6108 grad_norm: 6.5695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/07/23 03:02:17 - mmengine - INFO - Epoch(train) [50][1020/3757] lr: 1.0000e-03 eta: 12:23:45 time: 0.2231 data_time: 0.0234 memory: 6108 grad_norm: 6.4321 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4526 loss: 1.4526 2022/07/23 03:02:22 - mmengine - INFO - Epoch(train) [50][1040/3757] lr: 1.0000e-03 eta: 12:23:41 time: 0.2321 data_time: 0.0227 memory: 6108 grad_norm: 6.5976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4604 loss: 1.4604 2022/07/23 03:02:27 - mmengine - INFO - Epoch(train) [50][1060/3757] lr: 1.0000e-03 eta: 12:23:36 time: 0.2441 data_time: 0.0293 memory: 6108 grad_norm: 6.2688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3575 loss: 1.3575 2022/07/23 03:02:31 - mmengine - INFO - Epoch(train) [50][1080/3757] lr: 1.0000e-03 eta: 12:23:31 time: 0.2268 data_time: 0.0190 memory: 6108 grad_norm: 6.4943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6183 loss: 1.6183 2022/07/23 03:02:36 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 1.0000e-03 eta: 12:23:27 time: 0.2405 data_time: 0.0192 memory: 6108 grad_norm: 6.6223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6359 loss: 1.6359 2022/07/23 03:02:41 - mmengine - INFO - Epoch(train) [50][1120/3757] lr: 1.0000e-03 eta: 12:23:22 time: 0.2222 data_time: 0.0240 memory: 6108 grad_norm: 6.4890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4054 loss: 1.4054 2022/07/23 03:02:45 - mmengine - INFO - Epoch(train) [50][1140/3757] lr: 1.0000e-03 eta: 12:23:17 time: 0.2236 data_time: 0.0209 memory: 6108 grad_norm: 6.4788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4474 loss: 1.4474 2022/07/23 03:02:50 - mmengine - INFO - Epoch(train) [50][1160/3757] lr: 1.0000e-03 eta: 12:23:12 time: 0.2516 data_time: 0.0494 memory: 6108 grad_norm: 6.5289 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5518 loss: 1.5518 2022/07/23 03:02:55 - mmengine - INFO - Epoch(train) [50][1180/3757] lr: 1.0000e-03 eta: 12:23:08 time: 0.2368 data_time: 0.0244 memory: 6108 grad_norm: 6.6756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6256 loss: 1.6256 2022/07/23 03:02:59 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 1.0000e-03 eta: 12:23:03 time: 0.2265 data_time: 0.0191 memory: 6108 grad_norm: 6.6612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3581 loss: 1.3581 2022/07/23 03:03:04 - mmengine - INFO - Epoch(train) [50][1220/3757] lr: 1.0000e-03 eta: 12:22:58 time: 0.2229 data_time: 0.0223 memory: 6108 grad_norm: 6.5898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4064 loss: 1.4064 2022/07/23 03:03:09 - mmengine - INFO - Epoch(train) [50][1240/3757] lr: 1.0000e-03 eta: 12:22:54 time: 0.2392 data_time: 0.0230 memory: 6108 grad_norm: 6.6413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/07/23 03:03:14 - mmengine - INFO - Epoch(train) [50][1260/3757] lr: 1.0000e-03 eta: 12:22:49 time: 0.2581 data_time: 0.0573 memory: 6108 grad_norm: 6.2902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4301 loss: 1.4301 2022/07/23 03:03:18 - mmengine - INFO - Epoch(train) [50][1280/3757] lr: 1.0000e-03 eta: 12:22:44 time: 0.2227 data_time: 0.0220 memory: 6108 grad_norm: 6.6426 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5273 loss: 1.5273 2022/07/23 03:03:23 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 1.0000e-03 eta: 12:22:40 time: 0.2272 data_time: 0.0223 memory: 6108 grad_norm: 6.3953 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2581 loss: 1.2581 2022/07/23 03:03:28 - mmengine - INFO - Epoch(train) [50][1320/3757] lr: 1.0000e-03 eta: 12:22:35 time: 0.2332 data_time: 0.0214 memory: 6108 grad_norm: 6.5635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5787 loss: 1.5787 2022/07/23 03:03:33 - mmengine - INFO - Epoch(train) [50][1340/3757] lr: 1.0000e-03 eta: 12:22:30 time: 0.2441 data_time: 0.0185 memory: 6108 grad_norm: 6.4805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3436 loss: 1.3436 2022/07/23 03:03:37 - mmengine - INFO - Epoch(train) [50][1360/3757] lr: 1.0000e-03 eta: 12:22:26 time: 0.2259 data_time: 0.0265 memory: 6108 grad_norm: 6.6196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5056 loss: 1.5056 2022/07/23 03:03:42 - mmengine - INFO - Epoch(train) [50][1380/3757] lr: 1.0000e-03 eta: 12:22:21 time: 0.2311 data_time: 0.0203 memory: 6108 grad_norm: 6.5493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/07/23 03:03:47 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 1.0000e-03 eta: 12:22:16 time: 0.2487 data_time: 0.0191 memory: 6108 grad_norm: 6.6568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7938 loss: 1.7938 2022/07/23 03:03:51 - mmengine - INFO - Epoch(train) [50][1420/3757] lr: 1.0000e-03 eta: 12:22:12 time: 0.2288 data_time: 0.0205 memory: 6108 grad_norm: 6.6256 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4055 loss: 1.4055 2022/07/23 03:03:56 - mmengine - INFO - Epoch(train) [50][1440/3757] lr: 1.0000e-03 eta: 12:22:07 time: 0.2478 data_time: 0.0208 memory: 6108 grad_norm: 6.6407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5994 loss: 1.5994 2022/07/23 03:04:01 - mmengine - INFO - Epoch(train) [50][1460/3757] lr: 1.0000e-03 eta: 12:22:02 time: 0.2226 data_time: 0.0225 memory: 6108 grad_norm: 6.5717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4678 loss: 1.4678 2022/07/23 03:04:05 - mmengine - INFO - Epoch(train) [50][1480/3757] lr: 1.0000e-03 eta: 12:21:57 time: 0.2230 data_time: 0.0236 memory: 6108 grad_norm: 6.3853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/07/23 03:04:10 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 1.0000e-03 eta: 12:21:53 time: 0.2355 data_time: 0.0249 memory: 6108 grad_norm: 6.3824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5037 loss: 1.5037 2022/07/23 03:04:15 - mmengine - INFO - Epoch(train) [50][1520/3757] lr: 1.0000e-03 eta: 12:21:49 time: 0.2560 data_time: 0.0219 memory: 6108 grad_norm: 6.4345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/07/23 03:04:20 - mmengine - INFO - Epoch(train) [50][1540/3757] lr: 1.0000e-03 eta: 12:21:44 time: 0.2417 data_time: 0.0195 memory: 6108 grad_norm: 6.5221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/07/23 03:04:25 - mmengine - INFO - Epoch(train) [50][1560/3757] lr: 1.0000e-03 eta: 12:21:39 time: 0.2277 data_time: 0.0201 memory: 6108 grad_norm: 6.3709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/07/23 03:04:29 - mmengine - INFO - Epoch(train) [50][1580/3757] lr: 1.0000e-03 eta: 12:21:35 time: 0.2362 data_time: 0.0201 memory: 6108 grad_norm: 6.5149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/07/23 03:04:34 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 1.0000e-03 eta: 12:21:30 time: 0.2550 data_time: 0.0213 memory: 6108 grad_norm: 6.4755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4763 loss: 1.4763 2022/07/23 03:04:39 - mmengine - INFO - Epoch(train) [50][1620/3757] lr: 1.0000e-03 eta: 12:21:26 time: 0.2302 data_time: 0.0248 memory: 6108 grad_norm: 6.4500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5620 loss: 1.5620 2022/07/23 03:04:44 - mmengine - INFO - Epoch(train) [50][1640/3757] lr: 1.0000e-03 eta: 12:21:21 time: 0.2270 data_time: 0.0203 memory: 6108 grad_norm: 6.2725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4404 loss: 1.4404 2022/07/23 03:04:48 - mmengine - INFO - Epoch(train) [50][1660/3757] lr: 1.0000e-03 eta: 12:21:16 time: 0.2288 data_time: 0.0310 memory: 6108 grad_norm: 6.2951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4509 loss: 1.4509 2022/07/23 03:04:53 - mmengine - INFO - Epoch(train) [50][1680/3757] lr: 1.0000e-03 eta: 12:21:11 time: 0.2328 data_time: 0.0250 memory: 6108 grad_norm: 6.5170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3887 loss: 1.3887 2022/07/23 03:04:57 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 1.0000e-03 eta: 12:21:06 time: 0.2308 data_time: 0.0215 memory: 6108 grad_norm: 6.6935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7198 loss: 1.7198 2022/07/23 03:05:02 - mmengine - INFO - Epoch(train) [50][1720/3757] lr: 1.0000e-03 eta: 12:21:02 time: 0.2284 data_time: 0.0250 memory: 6108 grad_norm: 6.5004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3265 loss: 1.3265 2022/07/23 03:05:07 - mmengine - INFO - Epoch(train) [50][1740/3757] lr: 1.0000e-03 eta: 12:20:57 time: 0.2315 data_time: 0.0262 memory: 6108 grad_norm: 6.4564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2813 loss: 1.2813 2022/07/23 03:05:11 - mmengine - INFO - Epoch(train) [50][1760/3757] lr: 1.0000e-03 eta: 12:20:52 time: 0.2265 data_time: 0.0200 memory: 6108 grad_norm: 6.5976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4210 loss: 1.4210 2022/07/23 03:05:16 - mmengine - INFO - Epoch(train) [50][1780/3757] lr: 1.0000e-03 eta: 12:20:47 time: 0.2369 data_time: 0.0237 memory: 6108 grad_norm: 6.4059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5791 loss: 1.5791 2022/07/23 03:05:22 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 1.0000e-03 eta: 12:20:44 time: 0.2794 data_time: 0.0840 memory: 6108 grad_norm: 6.5963 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3836 loss: 1.3836 2022/07/23 03:05:26 - mmengine - INFO - Epoch(train) [50][1820/3757] lr: 1.0000e-03 eta: 12:20:39 time: 0.2310 data_time: 0.0213 memory: 6108 grad_norm: 6.6804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4361 loss: 1.4361 2022/07/23 03:05:31 - mmengine - INFO - Epoch(train) [50][1840/3757] lr: 1.0000e-03 eta: 12:20:34 time: 0.2307 data_time: 0.0210 memory: 6108 grad_norm: 6.4000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2488 loss: 1.2488 2022/07/23 03:05:36 - mmengine - INFO - Epoch(train) [50][1860/3757] lr: 1.0000e-03 eta: 12:20:30 time: 0.2355 data_time: 0.0252 memory: 6108 grad_norm: 6.5622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5563 loss: 1.5563 2022/07/23 03:05:40 - mmengine - INFO - Epoch(train) [50][1880/3757] lr: 1.0000e-03 eta: 12:20:25 time: 0.2304 data_time: 0.0263 memory: 6108 grad_norm: 6.6412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/07/23 03:05:45 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 1.0000e-03 eta: 12:20:20 time: 0.2320 data_time: 0.0255 memory: 6108 grad_norm: 6.4853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4442 loss: 1.4442 2022/07/23 03:05:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:05:49 - mmengine - INFO - Epoch(train) [50][1920/3757] lr: 1.0000e-03 eta: 12:20:15 time: 0.2238 data_time: 0.0269 memory: 6108 grad_norm: 6.5380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5702 loss: 1.5702 2022/07/23 03:05:54 - mmengine - INFO - Epoch(train) [50][1940/3757] lr: 1.0000e-03 eta: 12:20:11 time: 0.2409 data_time: 0.0230 memory: 6108 grad_norm: 6.6045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1694 loss: 1.1694 2022/07/23 03:05:59 - mmengine - INFO - Epoch(train) [50][1960/3757] lr: 1.0000e-03 eta: 12:20:06 time: 0.2253 data_time: 0.0234 memory: 6108 grad_norm: 6.3599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/07/23 03:06:03 - mmengine - INFO - Epoch(train) [50][1980/3757] lr: 1.0000e-03 eta: 12:20:01 time: 0.2254 data_time: 0.0228 memory: 6108 grad_norm: 6.6014 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3893 loss: 1.3893 2022/07/23 03:06:08 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 1.0000e-03 eta: 12:19:56 time: 0.2261 data_time: 0.0214 memory: 6108 grad_norm: 6.5846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3702 loss: 1.3702 2022/07/23 03:06:13 - mmengine - INFO - Epoch(train) [50][2020/3757] lr: 1.0000e-03 eta: 12:19:52 time: 0.2447 data_time: 0.0243 memory: 6108 grad_norm: 6.4758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6369 loss: 1.6369 2022/07/23 03:06:17 - mmengine - INFO - Epoch(train) [50][2040/3757] lr: 1.0000e-03 eta: 12:19:47 time: 0.2239 data_time: 0.0206 memory: 6108 grad_norm: 6.6146 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5767 loss: 1.5767 2022/07/23 03:06:22 - mmengine - INFO - Epoch(train) [50][2060/3757] lr: 1.0000e-03 eta: 12:19:42 time: 0.2235 data_time: 0.0224 memory: 6108 grad_norm: 6.7598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4966 loss: 1.4966 2022/07/23 03:06:26 - mmengine - INFO - Epoch(train) [50][2080/3757] lr: 1.0000e-03 eta: 12:19:37 time: 0.2214 data_time: 0.0203 memory: 6108 grad_norm: 6.7005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6635 loss: 1.6635 2022/07/23 03:06:31 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 1.0000e-03 eta: 12:19:32 time: 0.2291 data_time: 0.0228 memory: 6108 grad_norm: 6.7225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4084 loss: 1.4084 2022/07/23 03:06:36 - mmengine - INFO - Epoch(train) [50][2120/3757] lr: 1.0000e-03 eta: 12:19:28 time: 0.2710 data_time: 0.0201 memory: 6108 grad_norm: 6.7251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8631 loss: 1.8631 2022/07/23 03:06:41 - mmengine - INFO - Epoch(train) [50][2140/3757] lr: 1.0000e-03 eta: 12:19:23 time: 0.2353 data_time: 0.0288 memory: 6108 grad_norm: 6.4935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2187 loss: 1.2187 2022/07/23 03:06:46 - mmengine - INFO - Epoch(train) [50][2160/3757] lr: 1.0000e-03 eta: 12:19:19 time: 0.2282 data_time: 0.0251 memory: 6108 grad_norm: 6.6334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/07/23 03:06:50 - mmengine - INFO - Epoch(train) [50][2180/3757] lr: 1.0000e-03 eta: 12:19:14 time: 0.2278 data_time: 0.0192 memory: 6108 grad_norm: 6.4295 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5033 loss: 1.5033 2022/07/23 03:06:55 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 1.0000e-03 eta: 12:19:09 time: 0.2303 data_time: 0.0239 memory: 6108 grad_norm: 6.7717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5453 loss: 1.5453 2022/07/23 03:06:59 - mmengine - INFO - Epoch(train) [50][2220/3757] lr: 1.0000e-03 eta: 12:19:04 time: 0.2291 data_time: 0.0273 memory: 6108 grad_norm: 6.3825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9972 loss: 0.9972 2022/07/23 03:07:04 - mmengine - INFO - Epoch(train) [50][2240/3757] lr: 1.0000e-03 eta: 12:19:00 time: 0.2313 data_time: 0.0198 memory: 6108 grad_norm: 6.5759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2047 loss: 1.2047 2022/07/23 03:07:09 - mmengine - INFO - Epoch(train) [50][2260/3757] lr: 1.0000e-03 eta: 12:18:55 time: 0.2303 data_time: 0.0212 memory: 6108 grad_norm: 6.4186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4606 loss: 1.4606 2022/07/23 03:07:13 - mmengine - INFO - Epoch(train) [50][2280/3757] lr: 1.0000e-03 eta: 12:18:50 time: 0.2409 data_time: 0.0258 memory: 6108 grad_norm: 6.9366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7494 loss: 1.7494 2022/07/23 03:07:18 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 1.0000e-03 eta: 12:18:46 time: 0.2407 data_time: 0.0172 memory: 6108 grad_norm: 6.7022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3467 loss: 1.3467 2022/07/23 03:07:23 - mmengine - INFO - Epoch(train) [50][2320/3757] lr: 1.0000e-03 eta: 12:18:41 time: 0.2325 data_time: 0.0239 memory: 6108 grad_norm: 6.3856 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5288 loss: 1.5288 2022/07/23 03:07:28 - mmengine - INFO - Epoch(train) [50][2340/3757] lr: 1.0000e-03 eta: 12:18:36 time: 0.2279 data_time: 0.0220 memory: 6108 grad_norm: 6.2174 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/07/23 03:07:32 - mmengine - INFO - Epoch(train) [50][2360/3757] lr: 1.0000e-03 eta: 12:18:31 time: 0.2317 data_time: 0.0249 memory: 6108 grad_norm: 6.5026 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4429 loss: 1.4429 2022/07/23 03:07:37 - mmengine - INFO - Epoch(train) [50][2380/3757] lr: 1.0000e-03 eta: 12:18:27 time: 0.2484 data_time: 0.0209 memory: 6108 grad_norm: 6.5413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6249 loss: 1.6249 2022/07/23 03:07:42 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 1.0000e-03 eta: 12:18:22 time: 0.2342 data_time: 0.0287 memory: 6108 grad_norm: 6.7497 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3723 loss: 1.3723 2022/07/23 03:07:46 - mmengine - INFO - Epoch(train) [50][2420/3757] lr: 1.0000e-03 eta: 12:18:18 time: 0.2302 data_time: 0.0204 memory: 6108 grad_norm: 6.5744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4976 loss: 1.4976 2022/07/23 03:07:51 - mmengine - INFO - Epoch(train) [50][2440/3757] lr: 1.0000e-03 eta: 12:18:13 time: 0.2257 data_time: 0.0203 memory: 6108 grad_norm: 6.7004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3361 loss: 1.3361 2022/07/23 03:07:56 - mmengine - INFO - Epoch(train) [50][2460/3757] lr: 1.0000e-03 eta: 12:18:09 time: 0.2600 data_time: 0.0322 memory: 6108 grad_norm: 6.5670 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3764 loss: 1.3764 2022/07/23 03:08:01 - mmengine - INFO - Epoch(train) [50][2480/3757] lr: 1.0000e-03 eta: 12:18:04 time: 0.2304 data_time: 0.0258 memory: 6108 grad_norm: 6.5871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5933 loss: 1.5933 2022/07/23 03:08:05 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 1.0000e-03 eta: 12:17:59 time: 0.2311 data_time: 0.0217 memory: 6108 grad_norm: 6.4651 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5571 loss: 1.5571 2022/07/23 03:08:10 - mmengine - INFO - Epoch(train) [50][2520/3757] lr: 1.0000e-03 eta: 12:17:54 time: 0.2300 data_time: 0.0248 memory: 6108 grad_norm: 6.3495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5820 loss: 1.5820 2022/07/23 03:08:15 - mmengine - INFO - Epoch(train) [50][2540/3757] lr: 1.0000e-03 eta: 12:17:50 time: 0.2463 data_time: 0.0206 memory: 6108 grad_norm: 6.7173 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5346 loss: 1.5346 2022/07/23 03:08:20 - mmengine - INFO - Epoch(train) [50][2560/3757] lr: 1.0000e-03 eta: 12:17:45 time: 0.2350 data_time: 0.0182 memory: 6108 grad_norm: 6.3705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6168 loss: 1.6168 2022/07/23 03:08:25 - mmengine - INFO - Epoch(train) [50][2580/3757] lr: 1.0000e-03 eta: 12:17:41 time: 0.2366 data_time: 0.0260 memory: 6108 grad_norm: 6.6568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4813 loss: 1.4813 2022/07/23 03:08:29 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 1.0000e-03 eta: 12:17:36 time: 0.2281 data_time: 0.0221 memory: 6108 grad_norm: 6.6615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4785 loss: 1.4785 2022/07/23 03:08:34 - mmengine - INFO - Epoch(train) [50][2620/3757] lr: 1.0000e-03 eta: 12:17:32 time: 0.2593 data_time: 0.0173 memory: 6108 grad_norm: 6.5285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4492 loss: 1.4492 2022/07/23 03:08:39 - mmengine - INFO - Epoch(train) [50][2640/3757] lr: 1.0000e-03 eta: 12:17:27 time: 0.2345 data_time: 0.0218 memory: 6108 grad_norm: 6.5657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4716 loss: 1.4716 2022/07/23 03:08:44 - mmengine - INFO - Epoch(train) [50][2660/3757] lr: 1.0000e-03 eta: 12:17:22 time: 0.2310 data_time: 0.0272 memory: 6108 grad_norm: 6.8111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/07/23 03:08:48 - mmengine - INFO - Epoch(train) [50][2680/3757] lr: 1.0000e-03 eta: 12:17:17 time: 0.2326 data_time: 0.0327 memory: 6108 grad_norm: 6.4195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5349 loss: 1.5349 2022/07/23 03:08:53 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 1.0000e-03 eta: 12:17:13 time: 0.2459 data_time: 0.0286 memory: 6108 grad_norm: 6.7023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/07/23 03:08:58 - mmengine - INFO - Epoch(train) [50][2720/3757] lr: 1.0000e-03 eta: 12:17:08 time: 0.2239 data_time: 0.0166 memory: 6108 grad_norm: 6.5562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5052 loss: 1.5052 2022/07/23 03:09:03 - mmengine - INFO - Epoch(train) [50][2740/3757] lr: 1.0000e-03 eta: 12:17:04 time: 0.2476 data_time: 0.0240 memory: 6108 grad_norm: 6.6604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4776 loss: 1.4776 2022/07/23 03:09:07 - mmengine - INFO - Epoch(train) [50][2760/3757] lr: 1.0000e-03 eta: 12:16:59 time: 0.2260 data_time: 0.0266 memory: 6108 grad_norm: 6.5868 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6766 loss: 1.6766 2022/07/23 03:09:12 - mmengine - INFO - Epoch(train) [50][2780/3757] lr: 1.0000e-03 eta: 12:16:54 time: 0.2274 data_time: 0.0191 memory: 6108 grad_norm: 6.7468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4651 loss: 1.4651 2022/07/23 03:09:17 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 1.0000e-03 eta: 12:16:50 time: 0.2432 data_time: 0.0182 memory: 6108 grad_norm: 6.3590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5142 loss: 1.5142 2022/07/23 03:09:21 - mmengine - INFO - Epoch(train) [50][2820/3757] lr: 1.0000e-03 eta: 12:16:45 time: 0.2293 data_time: 0.0295 memory: 6108 grad_norm: 6.5111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2900 loss: 1.2900 2022/07/23 03:09:26 - mmengine - INFO - Epoch(train) [50][2840/3757] lr: 1.0000e-03 eta: 12:16:40 time: 0.2258 data_time: 0.0209 memory: 6108 grad_norm: 6.3855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2996 loss: 1.2996 2022/07/23 03:09:30 - mmengine - INFO - Epoch(train) [50][2860/3757] lr: 1.0000e-03 eta: 12:16:35 time: 0.2265 data_time: 0.0180 memory: 6108 grad_norm: 6.6023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7309 loss: 1.7309 2022/07/23 03:09:36 - mmengine - INFO - Epoch(train) [50][2880/3757] lr: 1.0000e-03 eta: 12:16:31 time: 0.2679 data_time: 0.0211 memory: 6108 grad_norm: 6.3033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2909 loss: 1.2909 2022/07/23 03:09:40 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 1.0000e-03 eta: 12:16:26 time: 0.2261 data_time: 0.0260 memory: 6108 grad_norm: 6.7522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6066 loss: 1.6066 2022/07/23 03:09:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:09:45 - mmengine - INFO - Epoch(train) [50][2920/3757] lr: 1.0000e-03 eta: 12:16:21 time: 0.2297 data_time: 0.0201 memory: 6108 grad_norm: 6.6072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/07/23 03:09:50 - mmengine - INFO - Epoch(train) [50][2940/3757] lr: 1.0000e-03 eta: 12:16:17 time: 0.2394 data_time: 0.0271 memory: 6108 grad_norm: 6.7115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2994 loss: 1.2994 2022/07/23 03:09:55 - mmengine - INFO - Epoch(train) [50][2960/3757] lr: 1.0000e-03 eta: 12:16:13 time: 0.2537 data_time: 0.0275 memory: 6108 grad_norm: 6.3450 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4055 loss: 1.4055 2022/07/23 03:09:59 - mmengine - INFO - Epoch(train) [50][2980/3757] lr: 1.0000e-03 eta: 12:16:08 time: 0.2292 data_time: 0.0185 memory: 6108 grad_norm: 6.4328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4274 loss: 1.4274 2022/07/23 03:10:04 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 1.0000e-03 eta: 12:16:03 time: 0.2339 data_time: 0.0282 memory: 6108 grad_norm: 6.6083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5231 loss: 1.5231 2022/07/23 03:10:09 - mmengine - INFO - Epoch(train) [50][3020/3757] lr: 1.0000e-03 eta: 12:15:58 time: 0.2324 data_time: 0.0199 memory: 6108 grad_norm: 6.4992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/07/23 03:10:15 - mmengine - INFO - Epoch(train) [50][3040/3757] lr: 1.0000e-03 eta: 12:15:55 time: 0.3093 data_time: 0.0235 memory: 6108 grad_norm: 6.4284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4212 loss: 1.4212 2022/07/23 03:10:19 - mmengine - INFO - Epoch(train) [50][3060/3757] lr: 1.0000e-03 eta: 12:15:50 time: 0.2154 data_time: 0.0221 memory: 6108 grad_norm: 6.5935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1111 loss: 1.1111 2022/07/23 03:10:24 - mmengine - INFO - Epoch(train) [50][3080/3757] lr: 1.0000e-03 eta: 12:15:45 time: 0.2294 data_time: 0.0207 memory: 6108 grad_norm: 6.4785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6479 loss: 1.6479 2022/07/23 03:10:29 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 1.0000e-03 eta: 12:15:41 time: 0.2285 data_time: 0.0295 memory: 6108 grad_norm: 6.6654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7105 loss: 1.7105 2022/07/23 03:10:33 - mmengine - INFO - Epoch(train) [50][3120/3757] lr: 1.0000e-03 eta: 12:15:36 time: 0.2443 data_time: 0.0221 memory: 6108 grad_norm: 6.6904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6044 loss: 1.6044 2022/07/23 03:10:38 - mmengine - INFO - Epoch(train) [50][3140/3757] lr: 1.0000e-03 eta: 12:15:31 time: 0.2224 data_time: 0.0217 memory: 6108 grad_norm: 6.7467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4360 loss: 1.4360 2022/07/23 03:10:42 - mmengine - INFO - Epoch(train) [50][3160/3757] lr: 1.0000e-03 eta: 12:15:26 time: 0.2288 data_time: 0.0210 memory: 6108 grad_norm: 6.6750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/07/23 03:10:47 - mmengine - INFO - Epoch(train) [50][3180/3757] lr: 1.0000e-03 eta: 12:15:22 time: 0.2380 data_time: 0.0258 memory: 6108 grad_norm: 6.5375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5133 loss: 1.5133 2022/07/23 03:10:52 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 1.0000e-03 eta: 12:15:17 time: 0.2323 data_time: 0.0234 memory: 6108 grad_norm: 6.7664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/07/23 03:10:57 - mmengine - INFO - Epoch(train) [50][3220/3757] lr: 1.0000e-03 eta: 12:15:13 time: 0.2543 data_time: 0.0216 memory: 6108 grad_norm: 6.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/07/23 03:11:02 - mmengine - INFO - Epoch(train) [50][3240/3757] lr: 1.0000e-03 eta: 12:15:08 time: 0.2341 data_time: 0.0257 memory: 6108 grad_norm: 6.8546 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/07/23 03:11:06 - mmengine - INFO - Epoch(train) [50][3260/3757] lr: 1.0000e-03 eta: 12:15:03 time: 0.2309 data_time: 0.0282 memory: 6108 grad_norm: 6.7114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4308 loss: 1.4308 2022/07/23 03:11:11 - mmengine - INFO - Epoch(train) [50][3280/3757] lr: 1.0000e-03 eta: 12:14:58 time: 0.2242 data_time: 0.0192 memory: 6108 grad_norm: 6.6444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5372 loss: 1.5372 2022/07/23 03:11:16 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 1.0000e-03 eta: 12:14:54 time: 0.2533 data_time: 0.0285 memory: 6108 grad_norm: 6.5223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6782 loss: 1.6782 2022/07/23 03:11:21 - mmengine - INFO - Epoch(train) [50][3320/3757] lr: 1.0000e-03 eta: 12:14:50 time: 0.2401 data_time: 0.0192 memory: 6108 grad_norm: 6.4530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3752 loss: 1.3752 2022/07/23 03:11:25 - mmengine - INFO - Epoch(train) [50][3340/3757] lr: 1.0000e-03 eta: 12:14:45 time: 0.2331 data_time: 0.0214 memory: 6108 grad_norm: 6.6880 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/07/23 03:11:30 - mmengine - INFO - Epoch(train) [50][3360/3757] lr: 1.0000e-03 eta: 12:14:40 time: 0.2300 data_time: 0.0208 memory: 6108 grad_norm: 6.5251 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5274 loss: 1.5274 2022/07/23 03:11:35 - mmengine - INFO - Epoch(train) [50][3380/3757] lr: 1.0000e-03 eta: 12:14:36 time: 0.2476 data_time: 0.0181 memory: 6108 grad_norm: 6.7572 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5157 loss: 1.5157 2022/07/23 03:11:40 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 1.0000e-03 eta: 12:14:31 time: 0.2266 data_time: 0.0199 memory: 6108 grad_norm: 6.5395 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3807 loss: 1.3807 2022/07/23 03:11:44 - mmengine - INFO - Epoch(train) [50][3420/3757] lr: 1.0000e-03 eta: 12:14:26 time: 0.2324 data_time: 0.0221 memory: 6108 grad_norm: 6.5997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2268 loss: 1.2268 2022/07/23 03:11:49 - mmengine - INFO - Epoch(train) [50][3440/3757] lr: 1.0000e-03 eta: 12:14:21 time: 0.2302 data_time: 0.0271 memory: 6108 grad_norm: 6.5177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5666 loss: 1.5666 2022/07/23 03:11:54 - mmengine - INFO - Epoch(train) [50][3460/3757] lr: 1.0000e-03 eta: 12:14:17 time: 0.2410 data_time: 0.0261 memory: 6108 grad_norm: 6.5812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3748 loss: 1.3748 2022/07/23 03:11:58 - mmengine - INFO - Epoch(train) [50][3480/3757] lr: 1.0000e-03 eta: 12:14:12 time: 0.2253 data_time: 0.0194 memory: 6108 grad_norm: 6.5235 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4739 loss: 1.4739 2022/07/23 03:12:03 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 1.0000e-03 eta: 12:14:07 time: 0.2369 data_time: 0.0267 memory: 6108 grad_norm: 6.9641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5673 loss: 1.5673 2022/07/23 03:12:08 - mmengine - INFO - Epoch(train) [50][3520/3757] lr: 1.0000e-03 eta: 12:14:03 time: 0.2374 data_time: 0.0333 memory: 6108 grad_norm: 6.6211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3582 loss: 1.3582 2022/07/23 03:12:12 - mmengine - INFO - Epoch(train) [50][3540/3757] lr: 1.0000e-03 eta: 12:13:58 time: 0.2308 data_time: 0.0291 memory: 6108 grad_norm: 6.6172 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4746 loss: 1.4746 2022/07/23 03:12:17 - mmengine - INFO - Epoch(train) [50][3560/3757] lr: 1.0000e-03 eta: 12:13:53 time: 0.2358 data_time: 0.0169 memory: 6108 grad_norm: 6.6880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3939 loss: 1.3939 2022/07/23 03:12:22 - mmengine - INFO - Epoch(train) [50][3580/3757] lr: 1.0000e-03 eta: 12:13:48 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 6.6073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5382 loss: 1.5382 2022/07/23 03:12:26 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 1.0000e-03 eta: 12:13:44 time: 0.2301 data_time: 0.0256 memory: 6108 grad_norm: 6.5122 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4908 loss: 1.4908 2022/07/23 03:12:31 - mmengine - INFO - Epoch(train) [50][3620/3757] lr: 1.0000e-03 eta: 12:13:39 time: 0.2254 data_time: 0.0194 memory: 6108 grad_norm: 6.9666 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/07/23 03:12:36 - mmengine - INFO - Epoch(train) [50][3640/3757] lr: 1.0000e-03 eta: 12:13:34 time: 0.2474 data_time: 0.0165 memory: 6108 grad_norm: 6.6658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3741 loss: 1.3741 2022/07/23 03:12:40 - mmengine - INFO - Epoch(train) [50][3660/3757] lr: 1.0000e-03 eta: 12:13:30 time: 0.2338 data_time: 0.0261 memory: 6108 grad_norm: 6.6008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6106 loss: 1.6106 2022/07/23 03:12:45 - mmengine - INFO - Epoch(train) [50][3680/3757] lr: 1.0000e-03 eta: 12:13:25 time: 0.2400 data_time: 0.0203 memory: 6108 grad_norm: 6.7394 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3730 loss: 1.3730 2022/07/23 03:12:50 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 1.0000e-03 eta: 12:13:20 time: 0.2264 data_time: 0.0190 memory: 6108 grad_norm: 6.5108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5918 loss: 1.5918 2022/07/23 03:12:54 - mmengine - INFO - Epoch(train) [50][3720/3757] lr: 1.0000e-03 eta: 12:13:16 time: 0.2275 data_time: 0.0238 memory: 6108 grad_norm: 6.4919 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5335 loss: 1.5335 2022/07/23 03:12:59 - mmengine - INFO - Epoch(train) [50][3740/3757] lr: 1.0000e-03 eta: 12:13:11 time: 0.2280 data_time: 0.0226 memory: 6108 grad_norm: 6.7004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6178 loss: 1.6178 2022/07/23 03:13:02 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:13:02 - mmengine - INFO - Epoch(train) [50][3757/3757] lr: 1.0000e-03 eta: 12:13:11 time: 0.1962 data_time: 0.0188 memory: 6108 grad_norm: 6.7274 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.5327 loss: 1.5327 2022/07/23 03:13:02 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/07/23 03:13:12 - mmengine - INFO - Epoch(val) [50][20/310] eta: 0:01:21 time: 0.2820 data_time: 0.2055 memory: 1428 2022/07/23 03:13:15 - mmengine - INFO - Epoch(val) [50][40/310] eta: 0:00:51 time: 0.1918 data_time: 0.1174 memory: 1428 2022/07/23 03:13:20 - mmengine - INFO - Epoch(val) [50][60/310] eta: 0:00:56 time: 0.2255 data_time: 0.1507 memory: 1428 2022/07/23 03:13:24 - mmengine - INFO - Epoch(val) [50][80/310] eta: 0:00:43 time: 0.1900 data_time: 0.1164 memory: 1428 2022/07/23 03:13:28 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:00:45 time: 0.2172 data_time: 0.1381 memory: 1428 2022/07/23 03:13:32 - mmengine - INFO - Epoch(val) [50][120/310] eta: 0:00:36 time: 0.1937 data_time: 0.1194 memory: 1428 2022/07/23 03:13:37 - mmengine - INFO - Epoch(val) [50][140/310] eta: 0:00:42 time: 0.2493 data_time: 0.1729 memory: 1428 2022/07/23 03:13:41 - mmengine - INFO - Epoch(val) [50][160/310] eta: 0:00:29 time: 0.1952 data_time: 0.1176 memory: 1428 2022/07/23 03:13:45 - mmengine - INFO - Epoch(val) [50][180/310] eta: 0:00:29 time: 0.2262 data_time: 0.1517 memory: 1428 2022/07/23 03:13:49 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:00:20 time: 0.1822 data_time: 0.1052 memory: 1428 2022/07/23 03:13:54 - mmengine - INFO - Epoch(val) [50][220/310] eta: 0:00:24 time: 0.2716 data_time: 0.1956 memory: 1428 2022/07/23 03:13:58 - mmengine - INFO - Epoch(val) [50][240/310] eta: 0:00:13 time: 0.1898 data_time: 0.1163 memory: 1428 2022/07/23 03:14:04 - mmengine - INFO - Epoch(val) [50][260/310] eta: 0:00:13 time: 0.2655 data_time: 0.1727 memory: 1428 2022/07/23 03:14:07 - mmengine - INFO - Epoch(val) [50][280/310] eta: 0:00:04 time: 0.1485 data_time: 0.0777 memory: 1428 2022/07/23 03:14:10 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:01 time: 0.1475 data_time: 0.0924 memory: 1428 2022/07/23 03:14:12 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.6453 acc/top5: 0.8554 acc/mean1: 0.6452 2022/07/23 03:14:19 - mmengine - INFO - Epoch(train) [51][20/3757] lr: 1.0000e-03 eta: 12:13:00 time: 0.3282 data_time: 0.0998 memory: 6108 grad_norm: 6.4645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3290 loss: 1.3290 2022/07/23 03:14:23 - mmengine - INFO - Epoch(train) [51][40/3757] lr: 1.0000e-03 eta: 12:12:55 time: 0.2357 data_time: 0.0195 memory: 6108 grad_norm: 6.6536 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3589 loss: 1.3589 2022/07/23 03:14:28 - mmengine - INFO - Epoch(train) [51][60/3757] lr: 1.0000e-03 eta: 12:12:51 time: 0.2293 data_time: 0.0254 memory: 6108 grad_norm: 6.6054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/07/23 03:14:33 - mmengine - INFO - Epoch(train) [51][80/3757] lr: 1.0000e-03 eta: 12:12:46 time: 0.2253 data_time: 0.0191 memory: 6108 grad_norm: 6.5771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/07/23 03:14:37 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 1.0000e-03 eta: 12:12:41 time: 0.2367 data_time: 0.0238 memory: 6108 grad_norm: 6.4095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7012 loss: 1.7012 2022/07/23 03:14:42 - mmengine - INFO - Epoch(train) [51][120/3757] lr: 1.0000e-03 eta: 12:12:36 time: 0.2287 data_time: 0.0249 memory: 6108 grad_norm: 6.6581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5239 loss: 1.5239 2022/07/23 03:14:47 - mmengine - INFO - Epoch(train) [51][140/3757] lr: 1.0000e-03 eta: 12:12:32 time: 0.2439 data_time: 0.0244 memory: 6108 grad_norm: 6.6034 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/07/23 03:14:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:14:51 - mmengine - INFO - Epoch(train) [51][160/3757] lr: 1.0000e-03 eta: 12:12:27 time: 0.2296 data_time: 0.0218 memory: 6108 grad_norm: 6.7145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2798 loss: 1.2798 2022/07/23 03:14:56 - mmengine - INFO - Epoch(train) [51][180/3757] lr: 1.0000e-03 eta: 12:12:22 time: 0.2320 data_time: 0.0192 memory: 6108 grad_norm: 6.2160 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4346 loss: 1.4346 2022/07/23 03:15:01 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 1.0000e-03 eta: 12:12:17 time: 0.2264 data_time: 0.0197 memory: 6108 grad_norm: 6.5991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2350 loss: 1.2350 2022/07/23 03:15:05 - mmengine - INFO - Epoch(train) [51][220/3757] lr: 1.0000e-03 eta: 12:12:13 time: 0.2398 data_time: 0.0206 memory: 6108 grad_norm: 6.4995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5473 loss: 1.5473 2022/07/23 03:15:10 - mmengine - INFO - Epoch(train) [51][240/3757] lr: 1.0000e-03 eta: 12:12:08 time: 0.2338 data_time: 0.0317 memory: 6108 grad_norm: 6.7881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3325 loss: 1.3325 2022/07/23 03:15:15 - mmengine - INFO - Epoch(train) [51][260/3757] lr: 1.0000e-03 eta: 12:12:04 time: 0.2377 data_time: 0.0158 memory: 6108 grad_norm: 6.4993 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/07/23 03:15:19 - mmengine - INFO - Epoch(train) [51][280/3757] lr: 1.0000e-03 eta: 12:11:59 time: 0.2307 data_time: 0.0272 memory: 6108 grad_norm: 6.7959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4544 loss: 1.4544 2022/07/23 03:15:24 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 1.0000e-03 eta: 12:11:54 time: 0.2381 data_time: 0.0236 memory: 6108 grad_norm: 6.6803 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2830 loss: 1.2830 2022/07/23 03:15:29 - mmengine - INFO - Epoch(train) [51][320/3757] lr: 1.0000e-03 eta: 12:11:49 time: 0.2197 data_time: 0.0181 memory: 6108 grad_norm: 6.4672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3604 loss: 1.3604 2022/07/23 03:15:33 - mmengine - INFO - Epoch(train) [51][340/3757] lr: 1.0000e-03 eta: 12:11:44 time: 0.2296 data_time: 0.0232 memory: 6108 grad_norm: 6.6567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5889 loss: 1.5889 2022/07/23 03:15:38 - mmengine - INFO - Epoch(train) [51][360/3757] lr: 1.0000e-03 eta: 12:11:40 time: 0.2248 data_time: 0.0241 memory: 6108 grad_norm: 6.3071 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/07/23 03:15:43 - mmengine - INFO - Epoch(train) [51][380/3757] lr: 1.0000e-03 eta: 12:11:35 time: 0.2352 data_time: 0.0208 memory: 6108 grad_norm: 6.4899 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4907 loss: 1.4907 2022/07/23 03:15:47 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 1.0000e-03 eta: 12:11:30 time: 0.2375 data_time: 0.0245 memory: 6108 grad_norm: 6.4589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/07/23 03:15:52 - mmengine - INFO - Epoch(train) [51][420/3757] lr: 1.0000e-03 eta: 12:11:25 time: 0.2247 data_time: 0.0258 memory: 6108 grad_norm: 6.3550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4462 loss: 1.4462 2022/07/23 03:15:57 - mmengine - INFO - Epoch(train) [51][440/3757] lr: 1.0000e-03 eta: 12:11:21 time: 0.2377 data_time: 0.0218 memory: 6108 grad_norm: 6.6221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2416 loss: 1.2416 2022/07/23 03:16:01 - mmengine - INFO - Epoch(train) [51][460/3757] lr: 1.0000e-03 eta: 12:11:16 time: 0.2313 data_time: 0.0214 memory: 6108 grad_norm: 6.7801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5823 loss: 1.5823 2022/07/23 03:16:06 - mmengine - INFO - Epoch(train) [51][480/3757] lr: 1.0000e-03 eta: 12:11:12 time: 0.2419 data_time: 0.0249 memory: 6108 grad_norm: 6.3325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4145 loss: 1.4145 2022/07/23 03:16:11 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 1.0000e-03 eta: 12:11:07 time: 0.2350 data_time: 0.0243 memory: 6108 grad_norm: 6.5322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6072 loss: 1.6072 2022/07/23 03:16:15 - mmengine - INFO - Epoch(train) [51][520/3757] lr: 1.0000e-03 eta: 12:11:02 time: 0.2311 data_time: 0.0191 memory: 6108 grad_norm: 6.5952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6639 loss: 1.6639 2022/07/23 03:16:20 - mmengine - INFO - Epoch(train) [51][540/3757] lr: 1.0000e-03 eta: 12:10:57 time: 0.2284 data_time: 0.0307 memory: 6108 grad_norm: 6.4545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3215 loss: 1.3215 2022/07/23 03:16:25 - mmengine - INFO - Epoch(train) [51][560/3757] lr: 1.0000e-03 eta: 12:10:53 time: 0.2479 data_time: 0.0205 memory: 6108 grad_norm: 6.5746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/07/23 03:16:30 - mmengine - INFO - Epoch(train) [51][580/3757] lr: 1.0000e-03 eta: 12:10:48 time: 0.2370 data_time: 0.0216 memory: 6108 grad_norm: 6.5492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4226 loss: 1.4226 2022/07/23 03:16:34 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 1.0000e-03 eta: 12:10:43 time: 0.2238 data_time: 0.0206 memory: 6108 grad_norm: 6.5863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3251 loss: 1.3251 2022/07/23 03:16:39 - mmengine - INFO - Epoch(train) [51][620/3757] lr: 1.0000e-03 eta: 12:10:39 time: 0.2254 data_time: 0.0233 memory: 6108 grad_norm: 6.6006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1303 loss: 1.1303 2022/07/23 03:16:44 - mmengine - INFO - Epoch(train) [51][640/3757] lr: 1.0000e-03 eta: 12:10:35 time: 0.2802 data_time: 0.0213 memory: 6108 grad_norm: 6.6177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5558 loss: 1.5558 2022/07/23 03:16:49 - mmengine - INFO - Epoch(train) [51][660/3757] lr: 1.0000e-03 eta: 12:10:30 time: 0.2200 data_time: 0.0177 memory: 6108 grad_norm: 6.4670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4699 loss: 1.4699 2022/07/23 03:16:53 - mmengine - INFO - Epoch(train) [51][680/3757] lr: 1.0000e-03 eta: 12:10:25 time: 0.2282 data_time: 0.0196 memory: 6108 grad_norm: 6.4914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2973 loss: 1.2973 2022/07/23 03:16:58 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 1.0000e-03 eta: 12:10:20 time: 0.2293 data_time: 0.0205 memory: 6108 grad_norm: 6.5683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5877 loss: 1.5877 2022/07/23 03:17:02 - mmengine - INFO - Epoch(train) [51][720/3757] lr: 1.0000e-03 eta: 12:10:15 time: 0.2230 data_time: 0.0214 memory: 6108 grad_norm: 6.5306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2452 loss: 1.2452 2022/07/23 03:17:08 - mmengine - INFO - Epoch(train) [51][740/3757] lr: 1.0000e-03 eta: 12:10:11 time: 0.2533 data_time: 0.0190 memory: 6108 grad_norm: 6.6053 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2536 loss: 1.2536 2022/07/23 03:17:12 - mmengine - INFO - Epoch(train) [51][760/3757] lr: 1.0000e-03 eta: 12:10:06 time: 0.2306 data_time: 0.0236 memory: 6108 grad_norm: 6.6191 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0781 loss: 1.0781 2022/07/23 03:17:17 - mmengine - INFO - Epoch(train) [51][780/3757] lr: 1.0000e-03 eta: 12:10:01 time: 0.2260 data_time: 0.0236 memory: 6108 grad_norm: 6.7746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8576 loss: 1.8576 2022/07/23 03:17:21 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 1.0000e-03 eta: 12:09:57 time: 0.2326 data_time: 0.0241 memory: 6108 grad_norm: 6.7815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6156 loss: 1.6156 2022/07/23 03:17:26 - mmengine - INFO - Epoch(train) [51][820/3757] lr: 1.0000e-03 eta: 12:09:52 time: 0.2396 data_time: 0.0223 memory: 6108 grad_norm: 6.6969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3426 loss: 1.3426 2022/07/23 03:17:31 - mmengine - INFO - Epoch(train) [51][840/3757] lr: 1.0000e-03 eta: 12:09:47 time: 0.2290 data_time: 0.0221 memory: 6108 grad_norm: 6.7969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2640 loss: 1.2640 2022/07/23 03:17:35 - mmengine - INFO - Epoch(train) [51][860/3757] lr: 1.0000e-03 eta: 12:09:43 time: 0.2290 data_time: 0.0194 memory: 6108 grad_norm: 6.6395 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/07/23 03:17:40 - mmengine - INFO - Epoch(train) [51][880/3757] lr: 1.0000e-03 eta: 12:09:38 time: 0.2293 data_time: 0.0196 memory: 6108 grad_norm: 6.6325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/07/23 03:17:45 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 1.0000e-03 eta: 12:09:33 time: 0.2415 data_time: 0.0298 memory: 6108 grad_norm: 6.8121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7717 loss: 1.7717 2022/07/23 03:17:49 - mmengine - INFO - Epoch(train) [51][920/3757] lr: 1.0000e-03 eta: 12:09:28 time: 0.2241 data_time: 0.0257 memory: 6108 grad_norm: 6.5436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4405 loss: 1.4405 2022/07/23 03:17:54 - mmengine - INFO - Epoch(train) [51][940/3757] lr: 1.0000e-03 eta: 12:09:24 time: 0.2245 data_time: 0.0202 memory: 6108 grad_norm: 6.6846 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4641 loss: 1.4641 2022/07/23 03:17:59 - mmengine - INFO - Epoch(train) [51][960/3757] lr: 1.0000e-03 eta: 12:09:19 time: 0.2334 data_time: 0.0284 memory: 6108 grad_norm: 6.4972 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5760 loss: 1.5760 2022/07/23 03:18:03 - mmengine - INFO - Epoch(train) [51][980/3757] lr: 1.0000e-03 eta: 12:09:14 time: 0.2353 data_time: 0.0203 memory: 6108 grad_norm: 6.4306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/07/23 03:18:08 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 1.0000e-03 eta: 12:09:10 time: 0.2412 data_time: 0.0253 memory: 6108 grad_norm: 6.8101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4798 loss: 1.4798 2022/07/23 03:18:13 - mmengine - INFO - Epoch(train) [51][1020/3757] lr: 1.0000e-03 eta: 12:09:05 time: 0.2545 data_time: 0.0547 memory: 6108 grad_norm: 6.5582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/07/23 03:18:18 - mmengine - INFO - Epoch(train) [51][1040/3757] lr: 1.0000e-03 eta: 12:09:00 time: 0.2250 data_time: 0.0170 memory: 6108 grad_norm: 6.6502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5597 loss: 1.5597 2022/07/23 03:18:22 - mmengine - INFO - Epoch(train) [51][1060/3757] lr: 1.0000e-03 eta: 12:08:56 time: 0.2270 data_time: 0.0211 memory: 6108 grad_norm: 6.5913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2842 loss: 1.2842 2022/07/23 03:18:27 - mmengine - INFO - Epoch(train) [51][1080/3757] lr: 1.0000e-03 eta: 12:08:51 time: 0.2497 data_time: 0.0198 memory: 6108 grad_norm: 6.5518 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3116 loss: 1.3116 2022/07/23 03:18:32 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 1.0000e-03 eta: 12:08:46 time: 0.2282 data_time: 0.0187 memory: 6108 grad_norm: 6.4512 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4664 loss: 1.4664 2022/07/23 03:18:37 - mmengine - INFO - Epoch(train) [51][1120/3757] lr: 1.0000e-03 eta: 12:08:42 time: 0.2314 data_time: 0.0260 memory: 6108 grad_norm: 6.7151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/07/23 03:18:41 - mmengine - INFO - Epoch(train) [51][1140/3757] lr: 1.0000e-03 eta: 12:08:37 time: 0.2368 data_time: 0.0264 memory: 6108 grad_norm: 6.4744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3940 loss: 1.3940 2022/07/23 03:18:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:18:46 - mmengine - INFO - Epoch(train) [51][1160/3757] lr: 1.0000e-03 eta: 12:08:33 time: 0.2426 data_time: 0.0261 memory: 6108 grad_norm: 6.4784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3931 loss: 1.3931 2022/07/23 03:18:51 - mmengine - INFO - Epoch(train) [51][1180/3757] lr: 1.0000e-03 eta: 12:08:28 time: 0.2239 data_time: 0.0217 memory: 6108 grad_norm: 6.5697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2838 loss: 1.2838 2022/07/23 03:18:55 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 1.0000e-03 eta: 12:08:23 time: 0.2297 data_time: 0.0243 memory: 6108 grad_norm: 6.3047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3987 loss: 1.3987 2022/07/23 03:19:00 - mmengine - INFO - Epoch(train) [51][1220/3757] lr: 1.0000e-03 eta: 12:08:18 time: 0.2297 data_time: 0.0246 memory: 6108 grad_norm: 6.6384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5232 loss: 1.5232 2022/07/23 03:19:05 - mmengine - INFO - Epoch(train) [51][1240/3757] lr: 1.0000e-03 eta: 12:08:14 time: 0.2548 data_time: 0.0178 memory: 6108 grad_norm: 6.6478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5535 loss: 1.5535 2022/07/23 03:19:10 - mmengine - INFO - Epoch(train) [51][1260/3757] lr: 1.0000e-03 eta: 12:08:09 time: 0.2331 data_time: 0.0237 memory: 6108 grad_norm: 6.7177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5621 loss: 1.5621 2022/07/23 03:19:14 - mmengine - INFO - Epoch(train) [51][1280/3757] lr: 1.0000e-03 eta: 12:08:04 time: 0.2292 data_time: 0.0271 memory: 6108 grad_norm: 6.6667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4237 loss: 1.4237 2022/07/23 03:19:19 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 1.0000e-03 eta: 12:08:00 time: 0.2291 data_time: 0.0216 memory: 6108 grad_norm: 6.6075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/07/23 03:19:24 - mmengine - INFO - Epoch(train) [51][1320/3757] lr: 1.0000e-03 eta: 12:07:55 time: 0.2569 data_time: 0.0238 memory: 6108 grad_norm: 6.2106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4304 loss: 1.4304 2022/07/23 03:19:29 - mmengine - INFO - Epoch(train) [51][1340/3757] lr: 1.0000e-03 eta: 12:07:51 time: 0.2256 data_time: 0.0222 memory: 6108 grad_norm: 6.5993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5628 loss: 1.5628 2022/07/23 03:19:33 - mmengine - INFO - Epoch(train) [51][1360/3757] lr: 1.0000e-03 eta: 12:07:46 time: 0.2335 data_time: 0.0202 memory: 6108 grad_norm: 6.6514 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4572 loss: 1.4572 2022/07/23 03:19:38 - mmengine - INFO - Epoch(train) [51][1380/3757] lr: 1.0000e-03 eta: 12:07:41 time: 0.2322 data_time: 0.0247 memory: 6108 grad_norm: 6.6667 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3060 loss: 1.3060 2022/07/23 03:19:43 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 1.0000e-03 eta: 12:07:36 time: 0.2272 data_time: 0.0191 memory: 6108 grad_norm: 6.5310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2823 loss: 1.2823 2022/07/23 03:19:48 - mmengine - INFO - Epoch(train) [51][1420/3757] lr: 1.0000e-03 eta: 12:07:32 time: 0.2490 data_time: 0.0219 memory: 6108 grad_norm: 6.8509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4668 loss: 1.4668 2022/07/23 03:19:52 - mmengine - INFO - Epoch(train) [51][1440/3757] lr: 1.0000e-03 eta: 12:07:27 time: 0.2373 data_time: 0.0213 memory: 6108 grad_norm: 6.4272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/07/23 03:19:57 - mmengine - INFO - Epoch(train) [51][1460/3757] lr: 1.0000e-03 eta: 12:07:23 time: 0.2327 data_time: 0.0268 memory: 6108 grad_norm: 6.8170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4711 loss: 1.4711 2022/07/23 03:20:02 - mmengine - INFO - Epoch(train) [51][1480/3757] lr: 1.0000e-03 eta: 12:07:18 time: 0.2402 data_time: 0.0199 memory: 6108 grad_norm: 6.4397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/07/23 03:20:07 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 1.0000e-03 eta: 12:07:13 time: 0.2391 data_time: 0.0260 memory: 6108 grad_norm: 6.8323 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3537 loss: 1.3537 2022/07/23 03:20:11 - mmengine - INFO - Epoch(train) [51][1520/3757] lr: 1.0000e-03 eta: 12:07:09 time: 0.2267 data_time: 0.0213 memory: 6108 grad_norm: 6.5277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4474 loss: 1.4474 2022/07/23 03:20:16 - mmengine - INFO - Epoch(train) [51][1540/3757] lr: 1.0000e-03 eta: 12:07:04 time: 0.2423 data_time: 0.0187 memory: 6108 grad_norm: 6.6502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7369 loss: 1.7369 2022/07/23 03:20:21 - mmengine - INFO - Epoch(train) [51][1560/3757] lr: 1.0000e-03 eta: 12:07:00 time: 0.2450 data_time: 0.0259 memory: 6108 grad_norm: 6.6508 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5062 loss: 1.5062 2022/07/23 03:20:26 - mmengine - INFO - Epoch(train) [51][1580/3757] lr: 1.0000e-03 eta: 12:06:55 time: 0.2363 data_time: 0.0211 memory: 6108 grad_norm: 6.6352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5057 loss: 1.5057 2022/07/23 03:20:30 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 1.0000e-03 eta: 12:06:50 time: 0.2334 data_time: 0.0221 memory: 6108 grad_norm: 6.4359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2381 loss: 1.2381 2022/07/23 03:20:35 - mmengine - INFO - Epoch(train) [51][1620/3757] lr: 1.0000e-03 eta: 12:06:46 time: 0.2374 data_time: 0.0260 memory: 6108 grad_norm: 6.4602 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5790 loss: 1.5790 2022/07/23 03:20:40 - mmengine - INFO - Epoch(train) [51][1640/3757] lr: 1.0000e-03 eta: 12:06:41 time: 0.2277 data_time: 0.0217 memory: 6108 grad_norm: 6.6026 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4930 loss: 1.4930 2022/07/23 03:20:45 - mmengine - INFO - Epoch(train) [51][1660/3757] lr: 1.0000e-03 eta: 12:06:36 time: 0.2414 data_time: 0.0225 memory: 6108 grad_norm: 6.7795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3889 loss: 1.3889 2022/07/23 03:20:49 - mmengine - INFO - Epoch(train) [51][1680/3757] lr: 1.0000e-03 eta: 12:06:32 time: 0.2301 data_time: 0.0258 memory: 6108 grad_norm: 6.6066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5116 loss: 1.5116 2022/07/23 03:20:54 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 1.0000e-03 eta: 12:06:27 time: 0.2365 data_time: 0.0215 memory: 6108 grad_norm: 6.3636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5473 loss: 1.5473 2022/07/23 03:20:58 - mmengine - INFO - Epoch(train) [51][1720/3757] lr: 1.0000e-03 eta: 12:06:22 time: 0.2266 data_time: 0.0204 memory: 6108 grad_norm: 6.7060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/07/23 03:21:03 - mmengine - INFO - Epoch(train) [51][1740/3757] lr: 1.0000e-03 eta: 12:06:17 time: 0.2286 data_time: 0.0246 memory: 6108 grad_norm: 6.6166 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4776 loss: 1.4776 2022/07/23 03:21:08 - mmengine - INFO - Epoch(train) [51][1760/3757] lr: 1.0000e-03 eta: 12:06:13 time: 0.2338 data_time: 0.0179 memory: 6108 grad_norm: 6.7471 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5947 loss: 1.5947 2022/07/23 03:21:12 - mmengine - INFO - Epoch(train) [51][1780/3757] lr: 1.0000e-03 eta: 12:06:08 time: 0.2328 data_time: 0.0198 memory: 6108 grad_norm: 6.5200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3767 loss: 1.3767 2022/07/23 03:21:17 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 1.0000e-03 eta: 12:06:03 time: 0.2316 data_time: 0.0236 memory: 6108 grad_norm: 6.7584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/07/23 03:21:22 - mmengine - INFO - Epoch(train) [51][1820/3757] lr: 1.0000e-03 eta: 12:05:58 time: 0.2320 data_time: 0.0210 memory: 6108 grad_norm: 6.4783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4355 loss: 1.4355 2022/07/23 03:21:27 - mmengine - INFO - Epoch(train) [51][1840/3757] lr: 1.0000e-03 eta: 12:05:54 time: 0.2459 data_time: 0.0220 memory: 6108 grad_norm: 6.6532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4333 loss: 1.4333 2022/07/23 03:21:31 - mmengine - INFO - Epoch(train) [51][1860/3757] lr: 1.0000e-03 eta: 12:05:49 time: 0.2300 data_time: 0.0238 memory: 6108 grad_norm: 6.4208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4757 loss: 1.4757 2022/07/23 03:21:36 - mmengine - INFO - Epoch(train) [51][1880/3757] lr: 1.0000e-03 eta: 12:05:45 time: 0.2423 data_time: 0.0185 memory: 6108 grad_norm: 6.9073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6199 loss: 1.6199 2022/07/23 03:21:41 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 1.0000e-03 eta: 12:05:40 time: 0.2287 data_time: 0.0217 memory: 6108 grad_norm: 6.5341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/07/23 03:21:46 - mmengine - INFO - Epoch(train) [51][1920/3757] lr: 1.0000e-03 eta: 12:05:35 time: 0.2436 data_time: 0.0239 memory: 6108 grad_norm: 6.7605 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6316 loss: 1.6316 2022/07/23 03:21:50 - mmengine - INFO - Epoch(train) [51][1940/3757] lr: 1.0000e-03 eta: 12:05:31 time: 0.2256 data_time: 0.0232 memory: 6108 grad_norm: 6.8225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4139 loss: 1.4139 2022/07/23 03:21:55 - mmengine - INFO - Epoch(train) [51][1960/3757] lr: 1.0000e-03 eta: 12:05:26 time: 0.2301 data_time: 0.0266 memory: 6108 grad_norm: 6.7713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5320 loss: 1.5320 2022/07/23 03:22:00 - mmengine - INFO - Epoch(train) [51][1980/3757] lr: 1.0000e-03 eta: 12:05:21 time: 0.2381 data_time: 0.0241 memory: 6108 grad_norm: 6.6806 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4793 loss: 1.4793 2022/07/23 03:22:05 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 1.0000e-03 eta: 12:05:17 time: 0.2553 data_time: 0.0213 memory: 6108 grad_norm: 6.6046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/07/23 03:22:09 - mmengine - INFO - Epoch(train) [51][2020/3757] lr: 1.0000e-03 eta: 12:05:12 time: 0.2275 data_time: 0.0200 memory: 6108 grad_norm: 6.3526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2423 loss: 1.2423 2022/07/23 03:22:14 - mmengine - INFO - Epoch(train) [51][2040/3757] lr: 1.0000e-03 eta: 12:05:07 time: 0.2314 data_time: 0.0231 memory: 6108 grad_norm: 6.5142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5729 loss: 1.5729 2022/07/23 03:22:19 - mmengine - INFO - Epoch(train) [51][2060/3757] lr: 1.0000e-03 eta: 12:05:03 time: 0.2699 data_time: 0.0159 memory: 6108 grad_norm: 6.6408 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.4317 loss: 1.4317 2022/07/23 03:22:24 - mmengine - INFO - Epoch(train) [51][2080/3757] lr: 1.0000e-03 eta: 12:04:59 time: 0.2384 data_time: 0.0236 memory: 6108 grad_norm: 6.4848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4214 loss: 1.4214 2022/07/23 03:22:29 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 1.0000e-03 eta: 12:04:54 time: 0.2388 data_time: 0.0200 memory: 6108 grad_norm: 6.5447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4514 loss: 1.4514 2022/07/23 03:22:33 - mmengine - INFO - Epoch(train) [51][2120/3757] lr: 1.0000e-03 eta: 12:04:49 time: 0.2277 data_time: 0.0184 memory: 6108 grad_norm: 6.6943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4121 loss: 1.4121 2022/07/23 03:22:38 - mmengine - INFO - Epoch(train) [51][2140/3757] lr: 1.0000e-03 eta: 12:04:45 time: 0.2295 data_time: 0.0231 memory: 6108 grad_norm: 6.8531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5331 loss: 1.5331 2022/07/23 03:22:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:22:43 - mmengine - INFO - Epoch(train) [51][2160/3757] lr: 1.0000e-03 eta: 12:04:40 time: 0.2282 data_time: 0.0233 memory: 6108 grad_norm: 6.5278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/07/23 03:22:48 - mmengine - INFO - Epoch(train) [51][2180/3757] lr: 1.0000e-03 eta: 12:04:36 time: 0.2548 data_time: 0.0236 memory: 6108 grad_norm: 6.4813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4000 loss: 1.4000 2022/07/23 03:22:52 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 1.0000e-03 eta: 12:04:31 time: 0.2280 data_time: 0.0249 memory: 6108 grad_norm: 6.6504 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5602 loss: 1.5602 2022/07/23 03:22:57 - mmengine - INFO - Epoch(train) [51][2220/3757] lr: 1.0000e-03 eta: 12:04:26 time: 0.2305 data_time: 0.0178 memory: 6108 grad_norm: 6.7809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5692 loss: 1.5692 2022/07/23 03:23:02 - mmengine - INFO - Epoch(train) [51][2240/3757] lr: 1.0000e-03 eta: 12:04:21 time: 0.2300 data_time: 0.0222 memory: 6108 grad_norm: 6.4384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/07/23 03:23:06 - mmengine - INFO - Epoch(train) [51][2260/3757] lr: 1.0000e-03 eta: 12:04:17 time: 0.2374 data_time: 0.0231 memory: 6108 grad_norm: 6.3971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5282 loss: 1.5282 2022/07/23 03:23:11 - mmengine - INFO - Epoch(train) [51][2280/3757] lr: 1.0000e-03 eta: 12:04:12 time: 0.2346 data_time: 0.0184 memory: 6108 grad_norm: 6.5111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/07/23 03:23:16 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 1.0000e-03 eta: 12:04:07 time: 0.2362 data_time: 0.0226 memory: 6108 grad_norm: 6.7422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3553 loss: 1.3553 2022/07/23 03:23:20 - mmengine - INFO - Epoch(train) [51][2320/3757] lr: 1.0000e-03 eta: 12:04:03 time: 0.2309 data_time: 0.0222 memory: 6108 grad_norm: 6.6885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2254 loss: 1.2254 2022/07/23 03:23:26 - mmengine - INFO - Epoch(train) [51][2340/3757] lr: 1.0000e-03 eta: 12:03:58 time: 0.2540 data_time: 0.0171 memory: 6108 grad_norm: 6.3129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/07/23 03:23:30 - mmengine - INFO - Epoch(train) [51][2360/3757] lr: 1.0000e-03 eta: 12:03:53 time: 0.2260 data_time: 0.0266 memory: 6108 grad_norm: 6.7590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5882 loss: 1.5882 2022/07/23 03:23:35 - mmengine - INFO - Epoch(train) [51][2380/3757] lr: 1.0000e-03 eta: 12:03:49 time: 0.2275 data_time: 0.0211 memory: 6108 grad_norm: 6.7012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3893 loss: 1.3893 2022/07/23 03:23:39 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 1.0000e-03 eta: 12:03:44 time: 0.2290 data_time: 0.0214 memory: 6108 grad_norm: 6.6088 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5716 loss: 1.5716 2022/07/23 03:23:44 - mmengine - INFO - Epoch(train) [51][2420/3757] lr: 1.0000e-03 eta: 12:03:39 time: 0.2275 data_time: 0.0220 memory: 6108 grad_norm: 6.6030 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/07/23 03:23:49 - mmengine - INFO - Epoch(train) [51][2440/3757] lr: 1.0000e-03 eta: 12:03:34 time: 0.2373 data_time: 0.0263 memory: 6108 grad_norm: 6.5969 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4238 loss: 1.4238 2022/07/23 03:23:53 - mmengine - INFO - Epoch(train) [51][2460/3757] lr: 1.0000e-03 eta: 12:03:30 time: 0.2301 data_time: 0.0226 memory: 6108 grad_norm: 6.5209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6915 loss: 1.6915 2022/07/23 03:23:58 - mmengine - INFO - Epoch(train) [51][2480/3757] lr: 1.0000e-03 eta: 12:03:25 time: 0.2294 data_time: 0.0202 memory: 6108 grad_norm: 6.7025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/07/23 03:24:02 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 1.0000e-03 eta: 12:03:20 time: 0.2266 data_time: 0.0240 memory: 6108 grad_norm: 6.4618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4629 loss: 1.4629 2022/07/23 03:24:08 - mmengine - INFO - Epoch(train) [51][2520/3757] lr: 1.0000e-03 eta: 12:03:16 time: 0.2576 data_time: 0.0195 memory: 6108 grad_norm: 6.4523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5084 loss: 1.5084 2022/07/23 03:24:12 - mmengine - INFO - Epoch(train) [51][2540/3757] lr: 1.0000e-03 eta: 12:03:11 time: 0.2290 data_time: 0.0259 memory: 6108 grad_norm: 6.6766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5355 loss: 1.5355 2022/07/23 03:24:17 - mmengine - INFO - Epoch(train) [51][2560/3757] lr: 1.0000e-03 eta: 12:03:06 time: 0.2297 data_time: 0.0243 memory: 6108 grad_norm: 6.6138 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5553 loss: 1.5553 2022/07/23 03:24:21 - mmengine - INFO - Epoch(train) [51][2580/3757] lr: 1.0000e-03 eta: 12:03:01 time: 0.2282 data_time: 0.0197 memory: 6108 grad_norm: 6.6559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6071 loss: 1.6071 2022/07/23 03:24:26 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 1.0000e-03 eta: 12:02:57 time: 0.2433 data_time: 0.0209 memory: 6108 grad_norm: 6.5950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4016 loss: 1.4016 2022/07/23 03:24:31 - mmengine - INFO - Epoch(train) [51][2620/3757] lr: 1.0000e-03 eta: 12:02:52 time: 0.2332 data_time: 0.0244 memory: 6108 grad_norm: 6.8158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3727 loss: 1.3727 2022/07/23 03:24:35 - mmengine - INFO - Epoch(train) [51][2640/3757] lr: 1.0000e-03 eta: 12:02:47 time: 0.2259 data_time: 0.0206 memory: 6108 grad_norm: 6.3876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5868 loss: 1.5868 2022/07/23 03:24:40 - mmengine - INFO - Epoch(train) [51][2660/3757] lr: 1.0000e-03 eta: 12:02:43 time: 0.2281 data_time: 0.0225 memory: 6108 grad_norm: 6.7486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3631 loss: 1.3631 2022/07/23 03:24:45 - mmengine - INFO - Epoch(train) [51][2680/3757] lr: 1.0000e-03 eta: 12:02:38 time: 0.2408 data_time: 0.0220 memory: 6108 grad_norm: 6.5226 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/07/23 03:24:49 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 1.0000e-03 eta: 12:02:33 time: 0.2243 data_time: 0.0217 memory: 6108 grad_norm: 6.6794 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6003 loss: 1.6003 2022/07/23 03:24:54 - mmengine - INFO - Epoch(train) [51][2720/3757] lr: 1.0000e-03 eta: 12:02:29 time: 0.2516 data_time: 0.0226 memory: 6108 grad_norm: 6.7389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2103 loss: 1.2103 2022/07/23 03:24:59 - mmengine - INFO - Epoch(train) [51][2740/3757] lr: 1.0000e-03 eta: 12:02:24 time: 0.2317 data_time: 0.0256 memory: 6108 grad_norm: 6.6489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4607 loss: 1.4607 2022/07/23 03:25:04 - mmengine - INFO - Epoch(train) [51][2760/3757] lr: 1.0000e-03 eta: 12:02:19 time: 0.2269 data_time: 0.0200 memory: 6108 grad_norm: 6.5015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4307 loss: 1.4307 2022/07/23 03:25:09 - mmengine - INFO - Epoch(train) [51][2780/3757] lr: 1.0000e-03 eta: 12:02:15 time: 0.2516 data_time: 0.0214 memory: 6108 grad_norm: 6.5893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/07/23 03:25:13 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 1.0000e-03 eta: 12:02:10 time: 0.2219 data_time: 0.0242 memory: 6108 grad_norm: 6.6316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3726 loss: 1.3726 2022/07/23 03:25:18 - mmengine - INFO - Epoch(train) [51][2820/3757] lr: 1.0000e-03 eta: 12:02:06 time: 0.2474 data_time: 0.0193 memory: 6108 grad_norm: 6.6739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/07/23 03:25:23 - mmengine - INFO - Epoch(train) [51][2840/3757] lr: 1.0000e-03 eta: 12:02:01 time: 0.2238 data_time: 0.0213 memory: 6108 grad_norm: 6.8628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4733 loss: 1.4733 2022/07/23 03:25:27 - mmengine - INFO - Epoch(train) [51][2860/3757] lr: 1.0000e-03 eta: 12:01:56 time: 0.2424 data_time: 0.0237 memory: 6108 grad_norm: 6.6537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5149 loss: 1.5149 2022/07/23 03:25:32 - mmengine - INFO - Epoch(train) [51][2880/3757] lr: 1.0000e-03 eta: 12:01:51 time: 0.2301 data_time: 0.0229 memory: 6108 grad_norm: 6.3116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3916 loss: 1.3916 2022/07/23 03:25:37 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 1.0000e-03 eta: 12:01:47 time: 0.2256 data_time: 0.0196 memory: 6108 grad_norm: 6.7589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6025 loss: 1.6025 2022/07/23 03:25:41 - mmengine - INFO - Epoch(train) [51][2920/3757] lr: 1.0000e-03 eta: 12:01:42 time: 0.2271 data_time: 0.0282 memory: 6108 grad_norm: 6.4837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3440 loss: 1.3440 2022/07/23 03:25:46 - mmengine - INFO - Epoch(train) [51][2940/3757] lr: 1.0000e-03 eta: 12:01:37 time: 0.2476 data_time: 0.0197 memory: 6108 grad_norm: 6.5297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5141 loss: 1.5141 2022/07/23 03:25:51 - mmengine - INFO - Epoch(train) [51][2960/3757] lr: 1.0000e-03 eta: 12:01:32 time: 0.2263 data_time: 0.0183 memory: 6108 grad_norm: 6.6150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5331 loss: 1.5331 2022/07/23 03:25:55 - mmengine - INFO - Epoch(train) [51][2980/3757] lr: 1.0000e-03 eta: 12:01:28 time: 0.2284 data_time: 0.0210 memory: 6108 grad_norm: 6.5126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4693 loss: 1.4693 2022/07/23 03:26:00 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 1.0000e-03 eta: 12:01:23 time: 0.2347 data_time: 0.0237 memory: 6108 grad_norm: 6.6693 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/07/23 03:26:05 - mmengine - INFO - Epoch(train) [51][3020/3757] lr: 1.0000e-03 eta: 12:01:18 time: 0.2402 data_time: 0.0194 memory: 6108 grad_norm: 6.6757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5750 loss: 1.5750 2022/07/23 03:26:10 - mmengine - INFO - Epoch(train) [51][3040/3757] lr: 1.0000e-03 eta: 12:01:14 time: 0.2362 data_time: 0.0263 memory: 6108 grad_norm: 6.6700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3511 loss: 1.3511 2022/07/23 03:26:14 - mmengine - INFO - Epoch(train) [51][3060/3757] lr: 1.0000e-03 eta: 12:01:09 time: 0.2257 data_time: 0.0183 memory: 6108 grad_norm: 6.4638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/07/23 03:26:19 - mmengine - INFO - Epoch(train) [51][3080/3757] lr: 1.0000e-03 eta: 12:01:04 time: 0.2315 data_time: 0.0322 memory: 6108 grad_norm: 6.6543 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4321 loss: 1.4321 2022/07/23 03:26:23 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 1.0000e-03 eta: 12:00:59 time: 0.2281 data_time: 0.0202 memory: 6108 grad_norm: 6.8374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5443 loss: 1.5443 2022/07/23 03:26:28 - mmengine - INFO - Epoch(train) [51][3120/3757] lr: 1.0000e-03 eta: 12:00:55 time: 0.2449 data_time: 0.0269 memory: 6108 grad_norm: 6.7764 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3937 loss: 1.3937 2022/07/23 03:26:33 - mmengine - INFO - Epoch(train) [51][3140/3757] lr: 1.0000e-03 eta: 12:00:50 time: 0.2241 data_time: 0.0200 memory: 6108 grad_norm: 6.7506 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4052 loss: 1.4052 2022/07/23 03:26:35 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:26:37 - mmengine - INFO - Epoch(train) [51][3160/3757] lr: 1.0000e-03 eta: 12:00:45 time: 0.2262 data_time: 0.0226 memory: 6108 grad_norm: 6.7682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6266 loss: 1.6266 2022/07/23 03:26:42 - mmengine - INFO - Epoch(train) [51][3180/3757] lr: 1.0000e-03 eta: 12:00:40 time: 0.2280 data_time: 0.0190 memory: 6108 grad_norm: 6.2810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3194 loss: 1.3194 2022/07/23 03:26:47 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 1.0000e-03 eta: 12:00:36 time: 0.2436 data_time: 0.0209 memory: 6108 grad_norm: 6.5364 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4602 loss: 1.4602 2022/07/23 03:26:51 - mmengine - INFO - Epoch(train) [51][3220/3757] lr: 1.0000e-03 eta: 12:00:31 time: 0.2240 data_time: 0.0212 memory: 6108 grad_norm: 6.7300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4586 loss: 1.4586 2022/07/23 03:26:56 - mmengine - INFO - Epoch(train) [51][3240/3757] lr: 1.0000e-03 eta: 12:00:26 time: 0.2238 data_time: 0.0229 memory: 6108 grad_norm: 6.4642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/07/23 03:27:00 - mmengine - INFO - Epoch(train) [51][3260/3757] lr: 1.0000e-03 eta: 12:00:21 time: 0.2265 data_time: 0.0194 memory: 6108 grad_norm: 6.7692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3479 loss: 1.3479 2022/07/23 03:27:05 - mmengine - INFO - Epoch(train) [51][3280/3757] lr: 1.0000e-03 eta: 12:00:17 time: 0.2443 data_time: 0.0222 memory: 6108 grad_norm: 6.8982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/07/23 03:27:10 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 1.0000e-03 eta: 12:00:12 time: 0.2282 data_time: 0.0185 memory: 6108 grad_norm: 6.7040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5087 loss: 1.5087 2022/07/23 03:27:15 - mmengine - INFO - Epoch(train) [51][3320/3757] lr: 1.0000e-03 eta: 12:00:07 time: 0.2378 data_time: 0.0371 memory: 6108 grad_norm: 6.6600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3958 loss: 1.3958 2022/07/23 03:27:20 - mmengine - INFO - Epoch(train) [51][3340/3757] lr: 1.0000e-03 eta: 12:00:03 time: 0.2528 data_time: 0.0193 memory: 6108 grad_norm: 6.6391 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3529 loss: 1.3529 2022/07/23 03:27:24 - mmengine - INFO - Epoch(train) [51][3360/3757] lr: 1.0000e-03 eta: 11:59:58 time: 0.2273 data_time: 0.0212 memory: 6108 grad_norm: 6.6426 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3323 loss: 1.3323 2022/07/23 03:27:29 - mmengine - INFO - Epoch(train) [51][3380/3757] lr: 1.0000e-03 eta: 11:59:54 time: 0.2400 data_time: 0.0244 memory: 6108 grad_norm: 6.8979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/07/23 03:27:33 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 1.0000e-03 eta: 11:59:49 time: 0.2245 data_time: 0.0256 memory: 6108 grad_norm: 6.3865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/07/23 03:27:38 - mmengine - INFO - Epoch(train) [51][3420/3757] lr: 1.0000e-03 eta: 11:59:44 time: 0.2306 data_time: 0.0226 memory: 6108 grad_norm: 6.8108 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4007 loss: 1.4007 2022/07/23 03:27:43 - mmengine - INFO - Epoch(train) [51][3440/3757] lr: 1.0000e-03 eta: 11:59:39 time: 0.2273 data_time: 0.0182 memory: 6108 grad_norm: 6.7920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5013 loss: 1.5013 2022/07/23 03:27:48 - mmengine - INFO - Epoch(train) [51][3460/3757] lr: 1.0000e-03 eta: 11:59:35 time: 0.2550 data_time: 0.0371 memory: 6108 grad_norm: 6.6523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3977 loss: 1.3977 2022/07/23 03:27:52 - mmengine - INFO - Epoch(train) [51][3480/3757] lr: 1.0000e-03 eta: 11:59:30 time: 0.2266 data_time: 0.0173 memory: 6108 grad_norm: 6.6752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3782 loss: 1.3782 2022/07/23 03:27:57 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 1.0000e-03 eta: 11:59:25 time: 0.2348 data_time: 0.0229 memory: 6108 grad_norm: 6.5273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/07/23 03:28:02 - mmengine - INFO - Epoch(train) [51][3520/3757] lr: 1.0000e-03 eta: 11:59:21 time: 0.2251 data_time: 0.0220 memory: 6108 grad_norm: 6.6768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4866 loss: 1.4866 2022/07/23 03:28:07 - mmengine - INFO - Epoch(train) [51][3540/3757] lr: 1.0000e-03 eta: 11:59:16 time: 0.2577 data_time: 0.0190 memory: 6108 grad_norm: 6.7738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6729 loss: 1.6729 2022/07/23 03:28:11 - mmengine - INFO - Epoch(train) [51][3560/3757] lr: 1.0000e-03 eta: 11:59:12 time: 0.2262 data_time: 0.0189 memory: 6108 grad_norm: 6.6175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3791 loss: 1.3791 2022/07/23 03:28:16 - mmengine - INFO - Epoch(train) [51][3580/3757] lr: 1.0000e-03 eta: 11:59:07 time: 0.2263 data_time: 0.0266 memory: 6108 grad_norm: 6.5476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4093 loss: 1.4093 2022/07/23 03:28:20 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 1.0000e-03 eta: 11:59:02 time: 0.2276 data_time: 0.0164 memory: 6108 grad_norm: 6.6982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4690 loss: 1.4690 2022/07/23 03:28:26 - mmengine - INFO - Epoch(train) [51][3620/3757] lr: 1.0000e-03 eta: 11:58:58 time: 0.2578 data_time: 0.0157 memory: 6108 grad_norm: 6.8812 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5300 loss: 1.5300 2022/07/23 03:28:30 - mmengine - INFO - Epoch(train) [51][3640/3757] lr: 1.0000e-03 eta: 11:58:53 time: 0.2275 data_time: 0.0218 memory: 6108 grad_norm: 6.6730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4997 loss: 1.4997 2022/07/23 03:28:35 - mmengine - INFO - Epoch(train) [51][3660/3757] lr: 1.0000e-03 eta: 11:58:48 time: 0.2273 data_time: 0.0216 memory: 6108 grad_norm: 6.8134 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5948 loss: 1.5948 2022/07/23 03:28:39 - mmengine - INFO - Epoch(train) [51][3680/3757] lr: 1.0000e-03 eta: 11:58:43 time: 0.2219 data_time: 0.0188 memory: 6108 grad_norm: 6.5409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3088 loss: 1.3088 2022/07/23 03:28:44 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 1.0000e-03 eta: 11:58:38 time: 0.2292 data_time: 0.0248 memory: 6108 grad_norm: 6.6450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3369 loss: 1.3369 2022/07/23 03:28:49 - mmengine - INFO - Epoch(train) [51][3720/3757] lr: 1.0000e-03 eta: 11:58:34 time: 0.2583 data_time: 0.0165 memory: 6108 grad_norm: 6.7914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4011 loss: 1.4011 2022/07/23 03:28:53 - mmengine - INFO - Epoch(train) [51][3740/3757] lr: 1.0000e-03 eta: 11:58:29 time: 0.2258 data_time: 0.0179 memory: 6108 grad_norm: 6.7971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3101 loss: 1.3101 2022/07/23 03:28:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:28:57 - mmengine - INFO - Epoch(train) [51][3757/3757] lr: 1.0000e-03 eta: 11:58:29 time: 0.1952 data_time: 0.0189 memory: 6108 grad_norm: 6.6135 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.6078 loss: 1.6078 2022/07/23 03:29:02 - mmengine - INFO - Epoch(val) [51][20/310] eta: 0:01:21 time: 0.2797 data_time: 0.2007 memory: 1428 2022/07/23 03:29:06 - mmengine - INFO - Epoch(val) [51][40/310] eta: 0:00:47 time: 0.1766 data_time: 0.0971 memory: 1428 2022/07/23 03:29:10 - mmengine - INFO - Epoch(val) [51][60/310] eta: 0:00:56 time: 0.2252 data_time: 0.1488 memory: 1428 2022/07/23 03:29:15 - mmengine - INFO - Epoch(val) [51][80/310] eta: 0:00:46 time: 0.2035 data_time: 0.1269 memory: 1428 2022/07/23 03:29:19 - mmengine - INFO - Epoch(val) [51][100/310] eta: 0:00:46 time: 0.2199 data_time: 0.1461 memory: 1428 2022/07/23 03:29:23 - mmengine - INFO - Epoch(val) [51][120/310] eta: 0:00:38 time: 0.2020 data_time: 0.1253 memory: 1428 2022/07/23 03:29:28 - mmengine - INFO - Epoch(val) [51][140/310] eta: 0:00:40 time: 0.2394 data_time: 0.1597 memory: 1428 2022/07/23 03:29:32 - mmengine - INFO - Epoch(val) [51][160/310] eta: 0:00:30 time: 0.2054 data_time: 0.1272 memory: 1428 2022/07/23 03:29:36 - mmengine - INFO - Epoch(val) [51][180/310] eta: 0:00:29 time: 0.2246 data_time: 0.1494 memory: 1428 2022/07/23 03:29:40 - mmengine - INFO - Epoch(val) [51][200/310] eta: 0:00:20 time: 0.1889 data_time: 0.1156 memory: 1428 2022/07/23 03:29:44 - mmengine - INFO - Epoch(val) [51][220/310] eta: 0:00:18 time: 0.2095 data_time: 0.1329 memory: 1428 2022/07/23 03:29:48 - mmengine - INFO - Epoch(val) [51][240/310] eta: 0:00:12 time: 0.1841 data_time: 0.1026 memory: 1428 2022/07/23 03:29:53 - mmengine - INFO - Epoch(val) [51][260/310] eta: 0:00:12 time: 0.2439 data_time: 0.1717 memory: 1428 2022/07/23 03:29:56 - mmengine - INFO - Epoch(val) [51][280/310] eta: 0:00:05 time: 0.1793 data_time: 0.1054 memory: 1428 2022/07/23 03:30:01 - mmengine - INFO - Epoch(val) [51][300/310] eta: 0:00:02 time: 0.2221 data_time: 0.1447 memory: 1428 2022/07/23 03:30:05 - mmengine - INFO - Epoch(val) [51][310/310] acc/top1: 0.6458 acc/top5: 0.8561 acc/mean1: 0.6457 2022/07/23 03:30:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_50.pth is removed 2022/07/23 03:30:10 - mmengine - INFO - The best checkpoint with 0.6458 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2022/07/23 03:30:15 - mmengine - INFO - Epoch(train) [52][20/3757] lr: 1.0000e-03 eta: 11:58:17 time: 0.2688 data_time: 0.0746 memory: 6108 grad_norm: 6.4957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/07/23 03:30:20 - mmengine - INFO - Epoch(train) [52][40/3757] lr: 1.0000e-03 eta: 11:58:13 time: 0.2317 data_time: 0.0265 memory: 6108 grad_norm: 6.6084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/07/23 03:30:25 - mmengine - INFO - Epoch(train) [52][60/3757] lr: 1.0000e-03 eta: 11:58:08 time: 0.2404 data_time: 0.0195 memory: 6108 grad_norm: 6.7043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4397 loss: 1.4397 2022/07/23 03:30:30 - mmengine - INFO - Epoch(train) [52][80/3757] lr: 1.0000e-03 eta: 11:58:04 time: 0.2372 data_time: 0.0204 memory: 6108 grad_norm: 6.6031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3234 loss: 1.3234 2022/07/23 03:30:35 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 1.0000e-03 eta: 11:57:59 time: 0.2455 data_time: 0.0450 memory: 6108 grad_norm: 6.8112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4409 loss: 1.4409 2022/07/23 03:30:39 - mmengine - INFO - Epoch(train) [52][120/3757] lr: 1.0000e-03 eta: 11:57:54 time: 0.2364 data_time: 0.0201 memory: 6108 grad_norm: 6.6059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3683 loss: 1.3683 2022/07/23 03:30:44 - mmengine - INFO - Epoch(train) [52][140/3757] lr: 1.0000e-03 eta: 11:57:50 time: 0.2257 data_time: 0.0185 memory: 6108 grad_norm: 6.6284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2947 loss: 1.2947 2022/07/23 03:30:48 - mmengine - INFO - Epoch(train) [52][160/3757] lr: 1.0000e-03 eta: 11:57:45 time: 0.2304 data_time: 0.0354 memory: 6108 grad_norm: 6.8678 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5347 loss: 1.5347 2022/07/23 03:30:53 - mmengine - INFO - Epoch(train) [52][180/3757] lr: 1.0000e-03 eta: 11:57:40 time: 0.2273 data_time: 0.0216 memory: 6108 grad_norm: 6.4215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/07/23 03:30:58 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 1.0000e-03 eta: 11:57:35 time: 0.2284 data_time: 0.0247 memory: 6108 grad_norm: 6.6690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3865 loss: 1.3865 2022/07/23 03:31:02 - mmengine - INFO - Epoch(train) [52][220/3757] lr: 1.0000e-03 eta: 11:57:30 time: 0.2292 data_time: 0.0279 memory: 6108 grad_norm: 6.5047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/23 03:31:07 - mmengine - INFO - Epoch(train) [52][240/3757] lr: 1.0000e-03 eta: 11:57:26 time: 0.2525 data_time: 0.0264 memory: 6108 grad_norm: 6.6505 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3489 loss: 1.3489 2022/07/23 03:31:12 - mmengine - INFO - Epoch(train) [52][260/3757] lr: 1.0000e-03 eta: 11:57:21 time: 0.2262 data_time: 0.0230 memory: 6108 grad_norm: 6.5515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4648 loss: 1.4648 2022/07/23 03:31:16 - mmengine - INFO - Epoch(train) [52][280/3757] lr: 1.0000e-03 eta: 11:57:16 time: 0.2256 data_time: 0.0199 memory: 6108 grad_norm: 6.6070 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4365 loss: 1.4365 2022/07/23 03:31:21 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 1.0000e-03 eta: 11:57:12 time: 0.2519 data_time: 0.0216 memory: 6108 grad_norm: 6.4205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4264 loss: 1.4264 2022/07/23 03:31:26 - mmengine - INFO - Epoch(train) [52][320/3757] lr: 1.0000e-03 eta: 11:57:07 time: 0.2346 data_time: 0.0249 memory: 6108 grad_norm: 6.6191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2081 loss: 1.2081 2022/07/23 03:31:31 - mmengine - INFO - Epoch(train) [52][340/3757] lr: 1.0000e-03 eta: 11:57:03 time: 0.2307 data_time: 0.0216 memory: 6108 grad_norm: 6.8757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3847 loss: 1.3847 2022/07/23 03:31:36 - mmengine - INFO - Epoch(train) [52][360/3757] lr: 1.0000e-03 eta: 11:56:58 time: 0.2532 data_time: 0.0220 memory: 6108 grad_norm: 6.7171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3803 loss: 1.3803 2022/07/23 03:31:40 - mmengine - INFO - Epoch(train) [52][380/3757] lr: 1.0000e-03 eta: 11:56:54 time: 0.2271 data_time: 0.0209 memory: 6108 grad_norm: 6.6351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5841 loss: 1.5841 2022/07/23 03:31:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:31:45 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 1.0000e-03 eta: 11:56:49 time: 0.2484 data_time: 0.0247 memory: 6108 grad_norm: 6.7635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2888 loss: 1.2888 2022/07/23 03:31:50 - mmengine - INFO - Epoch(train) [52][420/3757] lr: 1.0000e-03 eta: 11:56:45 time: 0.2363 data_time: 0.0228 memory: 6108 grad_norm: 6.8770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5238 loss: 1.5238 2022/07/23 03:31:55 - mmengine - INFO - Epoch(train) [52][440/3757] lr: 1.0000e-03 eta: 11:56:40 time: 0.2414 data_time: 0.0158 memory: 6108 grad_norm: 6.4548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3907 loss: 1.3907 2022/07/23 03:32:00 - mmengine - INFO - Epoch(train) [52][460/3757] lr: 1.0000e-03 eta: 11:56:35 time: 0.2282 data_time: 0.0259 memory: 6108 grad_norm: 6.6143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/07/23 03:32:04 - mmengine - INFO - Epoch(train) [52][480/3757] lr: 1.0000e-03 eta: 11:56:30 time: 0.2256 data_time: 0.0250 memory: 6108 grad_norm: 6.4457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/07/23 03:32:09 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 1.0000e-03 eta: 11:56:26 time: 0.2428 data_time: 0.0189 memory: 6108 grad_norm: 6.8740 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3932 loss: 1.3932 2022/07/23 03:32:14 - mmengine - INFO - Epoch(train) [52][520/3757] lr: 1.0000e-03 eta: 11:56:21 time: 0.2360 data_time: 0.0249 memory: 6108 grad_norm: 6.9093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4339 loss: 1.4339 2022/07/23 03:32:18 - mmengine - INFO - Epoch(train) [52][540/3757] lr: 1.0000e-03 eta: 11:56:16 time: 0.2280 data_time: 0.0211 memory: 6108 grad_norm: 6.4949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3234 loss: 1.3234 2022/07/23 03:32:23 - mmengine - INFO - Epoch(train) [52][560/3757] lr: 1.0000e-03 eta: 11:56:11 time: 0.2236 data_time: 0.0188 memory: 6108 grad_norm: 6.7753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1798 loss: 1.1798 2022/07/23 03:32:28 - mmengine - INFO - Epoch(train) [52][580/3757] lr: 1.0000e-03 eta: 11:56:07 time: 0.2410 data_time: 0.0274 memory: 6108 grad_norm: 6.8434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6665 loss: 1.6665 2022/07/23 03:32:32 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 1.0000e-03 eta: 11:56:02 time: 0.2272 data_time: 0.0252 memory: 6108 grad_norm: 6.6304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5420 loss: 1.5420 2022/07/23 03:32:37 - mmengine - INFO - Epoch(train) [52][620/3757] lr: 1.0000e-03 eta: 11:55:58 time: 0.2480 data_time: 0.0163 memory: 6108 grad_norm: 6.3946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3892 loss: 1.3892 2022/07/23 03:32:42 - mmengine - INFO - Epoch(train) [52][640/3757] lr: 1.0000e-03 eta: 11:55:53 time: 0.2290 data_time: 0.0284 memory: 6108 grad_norm: 6.5339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4747 loss: 1.4747 2022/07/23 03:32:47 - mmengine - INFO - Epoch(train) [52][660/3757] lr: 1.0000e-03 eta: 11:55:49 time: 0.2523 data_time: 0.0205 memory: 6108 grad_norm: 6.4301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5182 loss: 1.5182 2022/07/23 03:32:51 - mmengine - INFO - Epoch(train) [52][680/3757] lr: 1.0000e-03 eta: 11:55:44 time: 0.2270 data_time: 0.0219 memory: 6108 grad_norm: 6.6105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4363 loss: 1.4363 2022/07/23 03:32:56 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 1.0000e-03 eta: 11:55:39 time: 0.2237 data_time: 0.0253 memory: 6108 grad_norm: 6.4634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3536 loss: 1.3536 2022/07/23 03:33:00 - mmengine - INFO - Epoch(train) [52][720/3757] lr: 1.0000e-03 eta: 11:55:34 time: 0.2270 data_time: 0.0232 memory: 6108 grad_norm: 6.7407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2527 loss: 1.2527 2022/07/23 03:33:05 - mmengine - INFO - Epoch(train) [52][740/3757] lr: 1.0000e-03 eta: 11:55:29 time: 0.2363 data_time: 0.0193 memory: 6108 grad_norm: 6.8815 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5431 loss: 1.5431 2022/07/23 03:33:10 - mmengine - INFO - Epoch(train) [52][760/3757] lr: 1.0000e-03 eta: 11:55:25 time: 0.2343 data_time: 0.0223 memory: 6108 grad_norm: 6.8840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5475 loss: 1.5475 2022/07/23 03:33:14 - mmengine - INFO - Epoch(train) [52][780/3757] lr: 1.0000e-03 eta: 11:55:20 time: 0.2301 data_time: 0.0258 memory: 6108 grad_norm: 6.6784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5138 loss: 1.5138 2022/07/23 03:33:19 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 1.0000e-03 eta: 11:55:15 time: 0.2291 data_time: 0.0186 memory: 6108 grad_norm: 6.6861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5181 loss: 1.5181 2022/07/23 03:33:24 - mmengine - INFO - Epoch(train) [52][820/3757] lr: 1.0000e-03 eta: 11:55:10 time: 0.2283 data_time: 0.0245 memory: 6108 grad_norm: 6.6605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5076 loss: 1.5076 2022/07/23 03:33:29 - mmengine - INFO - Epoch(train) [52][840/3757] lr: 1.0000e-03 eta: 11:55:06 time: 0.2465 data_time: 0.0194 memory: 6108 grad_norm: 6.6748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2870 loss: 1.2870 2022/07/23 03:33:33 - mmengine - INFO - Epoch(train) [52][860/3757] lr: 1.0000e-03 eta: 11:55:01 time: 0.2368 data_time: 0.0296 memory: 6108 grad_norm: 6.7305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/07/23 03:33:38 - mmengine - INFO - Epoch(train) [52][880/3757] lr: 1.0000e-03 eta: 11:54:57 time: 0.2289 data_time: 0.0242 memory: 6108 grad_norm: 6.6785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5553 loss: 1.5553 2022/07/23 03:33:43 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 1.0000e-03 eta: 11:54:52 time: 0.2269 data_time: 0.0192 memory: 6108 grad_norm: 6.7064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2545 loss: 1.2545 2022/07/23 03:33:47 - mmengine - INFO - Epoch(train) [52][920/3757] lr: 1.0000e-03 eta: 11:54:47 time: 0.2352 data_time: 0.0215 memory: 6108 grad_norm: 6.6473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5615 loss: 1.5615 2022/07/23 03:33:52 - mmengine - INFO - Epoch(train) [52][940/3757] lr: 1.0000e-03 eta: 11:54:42 time: 0.2364 data_time: 0.0252 memory: 6108 grad_norm: 6.4159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2382 loss: 1.2382 2022/07/23 03:33:57 - mmengine - INFO - Epoch(train) [52][960/3757] lr: 1.0000e-03 eta: 11:54:38 time: 0.2258 data_time: 0.0270 memory: 6108 grad_norm: 6.7148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5374 loss: 1.5374 2022/07/23 03:34:01 - mmengine - INFO - Epoch(train) [52][980/3757] lr: 1.0000e-03 eta: 11:54:33 time: 0.2430 data_time: 0.0368 memory: 6108 grad_norm: 6.5991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/07/23 03:34:06 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 1.0000e-03 eta: 11:54:28 time: 0.2386 data_time: 0.0209 memory: 6108 grad_norm: 6.7498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/07/23 03:34:11 - mmengine - INFO - Epoch(train) [52][1020/3757] lr: 1.0000e-03 eta: 11:54:24 time: 0.2274 data_time: 0.0203 memory: 6108 grad_norm: 6.7395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6431 loss: 1.6431 2022/07/23 03:34:15 - mmengine - INFO - Epoch(train) [52][1040/3757] lr: 1.0000e-03 eta: 11:54:19 time: 0.2257 data_time: 0.0214 memory: 6108 grad_norm: 6.4291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3487 loss: 1.3487 2022/07/23 03:34:20 - mmengine - INFO - Epoch(train) [52][1060/3757] lr: 1.0000e-03 eta: 11:54:14 time: 0.2377 data_time: 0.0188 memory: 6108 grad_norm: 6.6093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4921 loss: 1.4921 2022/07/23 03:34:25 - mmengine - INFO - Epoch(train) [52][1080/3757] lr: 1.0000e-03 eta: 11:54:09 time: 0.2300 data_time: 0.0181 memory: 6108 grad_norm: 6.5470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/07/23 03:34:30 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 1.0000e-03 eta: 11:54:05 time: 0.2518 data_time: 0.0164 memory: 6108 grad_norm: 6.2517 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3819 loss: 1.3819 2022/07/23 03:34:35 - mmengine - INFO - Epoch(train) [52][1120/3757] lr: 1.0000e-03 eta: 11:54:01 time: 0.2452 data_time: 0.0212 memory: 6108 grad_norm: 6.8696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4418 loss: 1.4418 2022/07/23 03:34:39 - mmengine - INFO - Epoch(train) [52][1140/3757] lr: 1.0000e-03 eta: 11:53:56 time: 0.2262 data_time: 0.0199 memory: 6108 grad_norm: 6.8759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7085 loss: 1.7085 2022/07/23 03:34:44 - mmengine - INFO - Epoch(train) [52][1160/3757] lr: 1.0000e-03 eta: 11:53:51 time: 0.2235 data_time: 0.0229 memory: 6108 grad_norm: 6.6647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4785 loss: 1.4785 2022/07/23 03:34:48 - mmengine - INFO - Epoch(train) [52][1180/3757] lr: 1.0000e-03 eta: 11:53:46 time: 0.2370 data_time: 0.0234 memory: 6108 grad_norm: 6.5545 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3958 loss: 1.3958 2022/07/23 03:34:53 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 1.0000e-03 eta: 11:53:42 time: 0.2316 data_time: 0.0211 memory: 6108 grad_norm: 6.4129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5705 loss: 1.5705 2022/07/23 03:34:58 - mmengine - INFO - Epoch(train) [52][1220/3757] lr: 1.0000e-03 eta: 11:53:37 time: 0.2400 data_time: 0.0358 memory: 6108 grad_norm: 7.0816 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4486 loss: 1.4486 2022/07/23 03:35:03 - mmengine - INFO - Epoch(train) [52][1240/3757] lr: 1.0000e-03 eta: 11:53:33 time: 0.2491 data_time: 0.0196 memory: 6108 grad_norm: 6.7561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2051 loss: 1.2051 2022/07/23 03:35:08 - mmengine - INFO - Epoch(train) [52][1260/3757] lr: 1.0000e-03 eta: 11:53:28 time: 0.2367 data_time: 0.0201 memory: 6108 grad_norm: 6.8765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7079 loss: 1.7079 2022/07/23 03:35:12 - mmengine - INFO - Epoch(train) [52][1280/3757] lr: 1.0000e-03 eta: 11:53:23 time: 0.2227 data_time: 0.0215 memory: 6108 grad_norm: 6.6712 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5921 loss: 1.5921 2022/07/23 03:35:17 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 1.0000e-03 eta: 11:53:18 time: 0.2274 data_time: 0.0220 memory: 6108 grad_norm: 6.6363 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6633 loss: 1.6633 2022/07/23 03:35:21 - mmengine - INFO - Epoch(train) [52][1320/3757] lr: 1.0000e-03 eta: 11:53:13 time: 0.2257 data_time: 0.0192 memory: 6108 grad_norm: 6.7996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3789 loss: 1.3789 2022/07/23 03:35:26 - mmengine - INFO - Epoch(train) [52][1340/3757] lr: 1.0000e-03 eta: 11:53:09 time: 0.2570 data_time: 0.0526 memory: 6108 grad_norm: 6.4465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5123 loss: 1.5123 2022/07/23 03:35:31 - mmengine - INFO - Epoch(train) [52][1360/3757] lr: 1.0000e-03 eta: 11:53:04 time: 0.2246 data_time: 0.0202 memory: 6108 grad_norm: 6.4898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3691 loss: 1.3691 2022/07/23 03:35:36 - mmengine - INFO - Epoch(train) [52][1380/3757] lr: 1.0000e-03 eta: 11:53:00 time: 0.2401 data_time: 0.0191 memory: 6108 grad_norm: 6.5087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6703 loss: 1.6703 2022/07/23 03:35:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:35:41 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 1.0000e-03 eta: 11:52:55 time: 0.2384 data_time: 0.0217 memory: 6108 grad_norm: 6.5692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4148 loss: 1.4148 2022/07/23 03:35:46 - mmengine - INFO - Epoch(train) [52][1420/3757] lr: 1.0000e-03 eta: 11:52:51 time: 0.2557 data_time: 0.0276 memory: 6108 grad_norm: 6.5565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/23 03:35:50 - mmengine - INFO - Epoch(train) [52][1440/3757] lr: 1.0000e-03 eta: 11:52:46 time: 0.2305 data_time: 0.0212 memory: 6108 grad_norm: 6.5959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4403 loss: 1.4403 2022/07/23 03:35:55 - mmengine - INFO - Epoch(train) [52][1460/3757] lr: 1.0000e-03 eta: 11:52:41 time: 0.2225 data_time: 0.0168 memory: 6108 grad_norm: 6.6300 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7273 loss: 1.7273 2022/07/23 03:35:59 - mmengine - INFO - Epoch(train) [52][1480/3757] lr: 1.0000e-03 eta: 11:52:36 time: 0.2350 data_time: 0.0256 memory: 6108 grad_norm: 6.5944 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5278 loss: 1.5278 2022/07/23 03:36:04 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 1.0000e-03 eta: 11:52:32 time: 0.2290 data_time: 0.0226 memory: 6108 grad_norm: 6.8568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5836 loss: 1.5836 2022/07/23 03:36:10 - mmengine - INFO - Epoch(train) [52][1520/3757] lr: 1.0000e-03 eta: 11:52:28 time: 0.3049 data_time: 0.0161 memory: 6108 grad_norm: 6.5391 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2120 loss: 1.2120 2022/07/23 03:36:15 - mmengine - INFO - Epoch(train) [52][1540/3757] lr: 1.0000e-03 eta: 11:52:24 time: 0.2439 data_time: 0.0188 memory: 6108 grad_norm: 6.5980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5324 loss: 1.5324 2022/07/23 03:36:20 - mmengine - INFO - Epoch(train) [52][1560/3757] lr: 1.0000e-03 eta: 11:52:19 time: 0.2345 data_time: 0.0200 memory: 6108 grad_norm: 6.8786 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5140 loss: 1.5140 2022/07/23 03:36:24 - mmengine - INFO - Epoch(train) [52][1580/3757] lr: 1.0000e-03 eta: 11:52:14 time: 0.2278 data_time: 0.0264 memory: 6108 grad_norm: 6.5866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3084 loss: 1.3084 2022/07/23 03:36:29 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 1.0000e-03 eta: 11:52:10 time: 0.2548 data_time: 0.0259 memory: 6108 grad_norm: 6.5505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3364 loss: 1.3364 2022/07/23 03:36:34 - mmengine - INFO - Epoch(train) [52][1620/3757] lr: 1.0000e-03 eta: 11:52:05 time: 0.2311 data_time: 0.0248 memory: 6108 grad_norm: 6.6896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/07/23 03:36:39 - mmengine - INFO - Epoch(train) [52][1640/3757] lr: 1.0000e-03 eta: 11:52:01 time: 0.2253 data_time: 0.0186 memory: 6108 grad_norm: 6.7752 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3734 loss: 1.3734 2022/07/23 03:36:43 - mmengine - INFO - Epoch(train) [52][1660/3757] lr: 1.0000e-03 eta: 11:51:56 time: 0.2255 data_time: 0.0249 memory: 6108 grad_norm: 6.7691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2894 loss: 1.2894 2022/07/23 03:36:49 - mmengine - INFO - Epoch(train) [52][1680/3757] lr: 1.0000e-03 eta: 11:51:52 time: 0.2688 data_time: 0.0259 memory: 6108 grad_norm: 6.8636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3507 loss: 1.3507 2022/07/23 03:36:53 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 1.0000e-03 eta: 11:51:47 time: 0.2282 data_time: 0.0216 memory: 6108 grad_norm: 6.6349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3691 loss: 1.3691 2022/07/23 03:36:58 - mmengine - INFO - Epoch(train) [52][1720/3757] lr: 1.0000e-03 eta: 11:51:42 time: 0.2234 data_time: 0.0217 memory: 6108 grad_norm: 6.8368 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/07/23 03:37:02 - mmengine - INFO - Epoch(train) [52][1740/3757] lr: 1.0000e-03 eta: 11:51:37 time: 0.2274 data_time: 0.0249 memory: 6108 grad_norm: 6.5992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5055 loss: 1.5055 2022/07/23 03:37:07 - mmengine - INFO - Epoch(train) [52][1760/3757] lr: 1.0000e-03 eta: 11:51:33 time: 0.2413 data_time: 0.0191 memory: 6108 grad_norm: 6.7496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4305 loss: 1.4305 2022/07/23 03:37:12 - mmengine - INFO - Epoch(train) [52][1780/3757] lr: 1.0000e-03 eta: 11:51:28 time: 0.2268 data_time: 0.0211 memory: 6108 grad_norm: 6.7679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6095 loss: 1.6095 2022/07/23 03:37:17 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 1.0000e-03 eta: 11:51:23 time: 0.2537 data_time: 0.0450 memory: 6108 grad_norm: 6.8430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/07/23 03:37:21 - mmengine - INFO - Epoch(train) [52][1820/3757] lr: 1.0000e-03 eta: 11:51:19 time: 0.2337 data_time: 0.0311 memory: 6108 grad_norm: 6.9009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3042 loss: 1.3042 2022/07/23 03:37:26 - mmengine - INFO - Epoch(train) [52][1840/3757] lr: 1.0000e-03 eta: 11:51:14 time: 0.2404 data_time: 0.0182 memory: 6108 grad_norm: 6.4717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6284 loss: 1.6284 2022/07/23 03:37:31 - mmengine - INFO - Epoch(train) [52][1860/3757] lr: 1.0000e-03 eta: 11:51:09 time: 0.2251 data_time: 0.0184 memory: 6108 grad_norm: 6.5705 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/07/23 03:37:35 - mmengine - INFO - Epoch(train) [52][1880/3757] lr: 1.0000e-03 eta: 11:51:04 time: 0.2236 data_time: 0.0192 memory: 6108 grad_norm: 6.6765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4079 loss: 1.4079 2022/07/23 03:37:40 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 1.0000e-03 eta: 11:51:00 time: 0.2429 data_time: 0.0244 memory: 6108 grad_norm: 6.5621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4359 loss: 1.4359 2022/07/23 03:37:45 - mmengine - INFO - Epoch(train) [52][1920/3757] lr: 1.0000e-03 eta: 11:50:55 time: 0.2297 data_time: 0.0230 memory: 6108 grad_norm: 6.5198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4686 loss: 1.4686 2022/07/23 03:37:49 - mmengine - INFO - Epoch(train) [52][1940/3757] lr: 1.0000e-03 eta: 11:50:51 time: 0.2347 data_time: 0.0210 memory: 6108 grad_norm: 6.6746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5685 loss: 1.5685 2022/07/23 03:37:54 - mmengine - INFO - Epoch(train) [52][1960/3757] lr: 1.0000e-03 eta: 11:50:46 time: 0.2258 data_time: 0.0248 memory: 6108 grad_norm: 6.5978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/07/23 03:37:59 - mmengine - INFO - Epoch(train) [52][1980/3757] lr: 1.0000e-03 eta: 11:50:41 time: 0.2564 data_time: 0.0187 memory: 6108 grad_norm: 6.5553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5009 loss: 1.5009 2022/07/23 03:38:04 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 1.0000e-03 eta: 11:50:37 time: 0.2270 data_time: 0.0170 memory: 6108 grad_norm: 6.6426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4494 loss: 1.4494 2022/07/23 03:38:08 - mmengine - INFO - Epoch(train) [52][2020/3757] lr: 1.0000e-03 eta: 11:50:32 time: 0.2319 data_time: 0.0267 memory: 6108 grad_norm: 6.3980 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3053 loss: 1.3053 2022/07/23 03:38:13 - mmengine - INFO - Epoch(train) [52][2040/3757] lr: 1.0000e-03 eta: 11:50:27 time: 0.2309 data_time: 0.0288 memory: 6108 grad_norm: 6.7592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5767 loss: 1.5767 2022/07/23 03:38:18 - mmengine - INFO - Epoch(train) [52][2060/3757] lr: 1.0000e-03 eta: 11:50:22 time: 0.2356 data_time: 0.0233 memory: 6108 grad_norm: 6.5845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3491 loss: 1.3491 2022/07/23 03:38:22 - mmengine - INFO - Epoch(train) [52][2080/3757] lr: 1.0000e-03 eta: 11:50:18 time: 0.2310 data_time: 0.0295 memory: 6108 grad_norm: 6.5777 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5812 loss: 1.5812 2022/07/23 03:38:27 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 1.0000e-03 eta: 11:50:13 time: 0.2311 data_time: 0.0194 memory: 6108 grad_norm: 6.7123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4426 loss: 1.4426 2022/07/23 03:38:32 - mmengine - INFO - Epoch(train) [52][2120/3757] lr: 1.0000e-03 eta: 11:50:08 time: 0.2297 data_time: 0.0202 memory: 6108 grad_norm: 6.6594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5138 loss: 1.5138 2022/07/23 03:38:36 - mmengine - INFO - Epoch(train) [52][2140/3757] lr: 1.0000e-03 eta: 11:50:03 time: 0.2296 data_time: 0.0196 memory: 6108 grad_norm: 6.6443 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5672 loss: 1.5672 2022/07/23 03:38:41 - mmengine - INFO - Epoch(train) [52][2160/3757] lr: 1.0000e-03 eta: 11:49:59 time: 0.2539 data_time: 0.0204 memory: 6108 grad_norm: 6.9367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5612 loss: 1.5612 2022/07/23 03:38:46 - mmengine - INFO - Epoch(train) [52][2180/3757] lr: 1.0000e-03 eta: 11:49:55 time: 0.2513 data_time: 0.0270 memory: 6108 grad_norm: 6.7104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1874 loss: 1.1874 2022/07/23 03:38:51 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 1.0000e-03 eta: 11:49:50 time: 0.2224 data_time: 0.0195 memory: 6108 grad_norm: 6.4923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3627 loss: 1.3627 2022/07/23 03:38:55 - mmengine - INFO - Epoch(train) [52][2220/3757] lr: 1.0000e-03 eta: 11:49:45 time: 0.2222 data_time: 0.0208 memory: 6108 grad_norm: 6.5042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4161 loss: 1.4161 2022/07/23 03:39:00 - mmengine - INFO - Epoch(train) [52][2240/3757] lr: 1.0000e-03 eta: 11:49:40 time: 0.2307 data_time: 0.0215 memory: 6108 grad_norm: 6.8666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2926 loss: 1.2926 2022/07/23 03:39:04 - mmengine - INFO - Epoch(train) [52][2260/3757] lr: 1.0000e-03 eta: 11:49:35 time: 0.2260 data_time: 0.0262 memory: 6108 grad_norm: 6.8517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4360 loss: 1.4360 2022/07/23 03:39:09 - mmengine - INFO - Epoch(train) [52][2280/3757] lr: 1.0000e-03 eta: 11:49:31 time: 0.2436 data_time: 0.0197 memory: 6108 grad_norm: 6.6147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5298 loss: 1.5298 2022/07/23 03:39:14 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 1.0000e-03 eta: 11:49:26 time: 0.2345 data_time: 0.0241 memory: 6108 grad_norm: 6.6565 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3807 loss: 1.3807 2022/07/23 03:39:19 - mmengine - INFO - Epoch(train) [52][2320/3757] lr: 1.0000e-03 eta: 11:49:21 time: 0.2316 data_time: 0.0195 memory: 6108 grad_norm: 6.7143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4194 loss: 1.4194 2022/07/23 03:39:23 - mmengine - INFO - Epoch(train) [52][2340/3757] lr: 1.0000e-03 eta: 11:49:17 time: 0.2249 data_time: 0.0211 memory: 6108 grad_norm: 6.8111 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2766 loss: 1.2766 2022/07/23 03:39:28 - mmengine - INFO - Epoch(train) [52][2360/3757] lr: 1.0000e-03 eta: 11:49:12 time: 0.2601 data_time: 0.0208 memory: 6108 grad_norm: 6.7608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5502 loss: 1.5502 2022/07/23 03:39:33 - mmengine - INFO - Epoch(train) [52][2380/3757] lr: 1.0000e-03 eta: 11:49:08 time: 0.2260 data_time: 0.0295 memory: 6108 grad_norm: 6.6137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6722 loss: 1.6722 2022/07/23 03:39:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:39:38 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 1.0000e-03 eta: 11:49:03 time: 0.2317 data_time: 0.0196 memory: 6108 grad_norm: 6.7262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5412 loss: 1.5412 2022/07/23 03:39:43 - mmengine - INFO - Epoch(train) [52][2420/3757] lr: 1.0000e-03 eta: 11:48:58 time: 0.2449 data_time: 0.0226 memory: 6108 grad_norm: 6.6601 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3687 loss: 1.3687 2022/07/23 03:39:47 - mmengine - INFO - Epoch(train) [52][2440/3757] lr: 1.0000e-03 eta: 11:48:54 time: 0.2430 data_time: 0.0351 memory: 6108 grad_norm: 6.5721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3801 loss: 1.3801 2022/07/23 03:39:52 - mmengine - INFO - Epoch(train) [52][2460/3757] lr: 1.0000e-03 eta: 11:48:49 time: 0.2234 data_time: 0.0214 memory: 6108 grad_norm: 6.7609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4155 loss: 1.4155 2022/07/23 03:39:56 - mmengine - INFO - Epoch(train) [52][2480/3757] lr: 1.0000e-03 eta: 11:48:44 time: 0.2255 data_time: 0.0191 memory: 6108 grad_norm: 6.6435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5724 loss: 1.5724 2022/07/23 03:40:01 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 1.0000e-03 eta: 11:48:39 time: 0.2345 data_time: 0.0232 memory: 6108 grad_norm: 6.9372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4442 loss: 1.4442 2022/07/23 03:40:07 - mmengine - INFO - Epoch(train) [52][2520/3757] lr: 1.0000e-03 eta: 11:48:36 time: 0.2868 data_time: 0.0207 memory: 6108 grad_norm: 6.9391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5333 loss: 1.5333 2022/07/23 03:40:11 - mmengine - INFO - Epoch(train) [52][2540/3757] lr: 1.0000e-03 eta: 11:48:31 time: 0.2224 data_time: 0.0251 memory: 6108 grad_norm: 6.8347 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5617 loss: 1.5617 2022/07/23 03:40:16 - mmengine - INFO - Epoch(train) [52][2560/3757] lr: 1.0000e-03 eta: 11:48:26 time: 0.2249 data_time: 0.0171 memory: 6108 grad_norm: 6.8106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6359 loss: 1.6359 2022/07/23 03:40:20 - mmengine - INFO - Epoch(train) [52][2580/3757] lr: 1.0000e-03 eta: 11:48:21 time: 0.2245 data_time: 0.0234 memory: 6108 grad_norm: 6.8787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3301 loss: 1.3301 2022/07/23 03:40:25 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 1.0000e-03 eta: 11:48:17 time: 0.2389 data_time: 0.0229 memory: 6108 grad_norm: 6.6666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6926 loss: 1.6926 2022/07/23 03:40:30 - mmengine - INFO - Epoch(train) [52][2620/3757] lr: 1.0000e-03 eta: 11:48:12 time: 0.2380 data_time: 0.0218 memory: 6108 grad_norm: 6.8619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3548 loss: 1.3548 2022/07/23 03:40:34 - mmengine - INFO - Epoch(train) [52][2640/3757] lr: 1.0000e-03 eta: 11:48:07 time: 0.2242 data_time: 0.0227 memory: 6108 grad_norm: 6.7708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4685 loss: 1.4685 2022/07/23 03:40:39 - mmengine - INFO - Epoch(train) [52][2660/3757] lr: 1.0000e-03 eta: 11:48:02 time: 0.2334 data_time: 0.0219 memory: 6108 grad_norm: 6.5919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4775 loss: 1.4775 2022/07/23 03:40:44 - mmengine - INFO - Epoch(train) [52][2680/3757] lr: 1.0000e-03 eta: 11:47:58 time: 0.2597 data_time: 0.0217 memory: 6108 grad_norm: 6.6697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/07/23 03:40:49 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 1.0000e-03 eta: 11:47:53 time: 0.2347 data_time: 0.0175 memory: 6108 grad_norm: 6.5879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5078 loss: 1.5078 2022/07/23 03:40:54 - mmengine - INFO - Epoch(train) [52][2720/3757] lr: 1.0000e-03 eta: 11:47:49 time: 0.2329 data_time: 0.0204 memory: 6108 grad_norm: 6.6260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/07/23 03:40:58 - mmengine - INFO - Epoch(train) [52][2740/3757] lr: 1.0000e-03 eta: 11:47:44 time: 0.2249 data_time: 0.0174 memory: 6108 grad_norm: 6.6785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1255 loss: 1.1255 2022/07/23 03:41:03 - mmengine - INFO - Epoch(train) [52][2760/3757] lr: 1.0000e-03 eta: 11:47:39 time: 0.2256 data_time: 0.0181 memory: 6108 grad_norm: 6.6374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5803 loss: 1.5803 2022/07/23 03:41:08 - mmengine - INFO - Epoch(train) [52][2780/3757] lr: 1.0000e-03 eta: 11:47:34 time: 0.2354 data_time: 0.0267 memory: 6108 grad_norm: 6.9964 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7530 loss: 1.7530 2022/07/23 03:41:12 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 1.0000e-03 eta: 11:47:30 time: 0.2320 data_time: 0.0247 memory: 6108 grad_norm: 6.5809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3302 loss: 1.3302 2022/07/23 03:41:17 - mmengine - INFO - Epoch(train) [52][2820/3757] lr: 1.0000e-03 eta: 11:47:25 time: 0.2331 data_time: 0.0199 memory: 6108 grad_norm: 6.9810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5108 loss: 1.5108 2022/07/23 03:41:22 - mmengine - INFO - Epoch(train) [52][2840/3757] lr: 1.0000e-03 eta: 11:47:20 time: 0.2427 data_time: 0.0243 memory: 6108 grad_norm: 6.9564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6589 loss: 1.6589 2022/07/23 03:41:27 - mmengine - INFO - Epoch(train) [52][2860/3757] lr: 1.0000e-03 eta: 11:47:16 time: 0.2383 data_time: 0.0199 memory: 6108 grad_norm: 6.9088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/07/23 03:41:31 - mmengine - INFO - Epoch(train) [52][2880/3757] lr: 1.0000e-03 eta: 11:47:11 time: 0.2306 data_time: 0.0188 memory: 6108 grad_norm: 6.5321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/07/23 03:41:36 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 1.0000e-03 eta: 11:47:07 time: 0.2498 data_time: 0.0214 memory: 6108 grad_norm: 6.7974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/07/23 03:41:41 - mmengine - INFO - Epoch(train) [52][2920/3757] lr: 1.0000e-03 eta: 11:47:02 time: 0.2368 data_time: 0.0169 memory: 6108 grad_norm: 6.8955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4630 loss: 1.4630 2022/07/23 03:41:46 - mmengine - INFO - Epoch(train) [52][2940/3757] lr: 1.0000e-03 eta: 11:46:57 time: 0.2301 data_time: 0.0258 memory: 6108 grad_norm: 6.4634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2876 loss: 1.2876 2022/07/23 03:41:50 - mmengine - INFO - Epoch(train) [52][2960/3757] lr: 1.0000e-03 eta: 11:46:53 time: 0.2389 data_time: 0.0291 memory: 6108 grad_norm: 6.6987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1920 loss: 1.1920 2022/07/23 03:41:55 - mmengine - INFO - Epoch(train) [52][2980/3757] lr: 1.0000e-03 eta: 11:46:48 time: 0.2261 data_time: 0.0230 memory: 6108 grad_norm: 6.6661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/23 03:41:59 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 1.0000e-03 eta: 11:46:43 time: 0.2257 data_time: 0.0280 memory: 6108 grad_norm: 6.7100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2740 loss: 1.2740 2022/07/23 03:42:04 - mmengine - INFO - Epoch(train) [52][3020/3757] lr: 1.0000e-03 eta: 11:46:38 time: 0.2364 data_time: 0.0244 memory: 6108 grad_norm: 6.9256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1818 loss: 1.1818 2022/07/23 03:42:09 - mmengine - INFO - Epoch(train) [52][3040/3757] lr: 1.0000e-03 eta: 11:46:34 time: 0.2481 data_time: 0.0169 memory: 6108 grad_norm: 6.6717 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2792 loss: 1.2792 2022/07/23 03:42:14 - mmengine - INFO - Epoch(train) [52][3060/3757] lr: 1.0000e-03 eta: 11:46:29 time: 0.2309 data_time: 0.0220 memory: 6108 grad_norm: 6.8674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4901 loss: 1.4901 2022/07/23 03:42:19 - mmengine - INFO - Epoch(train) [52][3080/3757] lr: 1.0000e-03 eta: 11:46:25 time: 0.2480 data_time: 0.0210 memory: 6108 grad_norm: 6.5569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2780 loss: 1.2780 2022/07/23 03:42:23 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 1.0000e-03 eta: 11:46:20 time: 0.2333 data_time: 0.0245 memory: 6108 grad_norm: 6.6802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6223 loss: 1.6223 2022/07/23 03:42:28 - mmengine - INFO - Epoch(train) [52][3120/3757] lr: 1.0000e-03 eta: 11:46:16 time: 0.2433 data_time: 0.0221 memory: 6108 grad_norm: 6.6723 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5070 loss: 1.5070 2022/07/23 03:42:33 - mmengine - INFO - Epoch(train) [52][3140/3757] lr: 1.0000e-03 eta: 11:46:11 time: 0.2545 data_time: 0.0177 memory: 6108 grad_norm: 6.8062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6397 loss: 1.6397 2022/07/23 03:42:38 - mmengine - INFO - Epoch(train) [52][3160/3757] lr: 1.0000e-03 eta: 11:46:07 time: 0.2327 data_time: 0.0158 memory: 6108 grad_norm: 6.5389 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3601 loss: 1.3601 2022/07/23 03:42:43 - mmengine - INFO - Epoch(train) [52][3180/3757] lr: 1.0000e-03 eta: 11:46:02 time: 0.2252 data_time: 0.0188 memory: 6108 grad_norm: 6.5654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4143 loss: 1.4143 2022/07/23 03:42:48 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 1.0000e-03 eta: 11:45:57 time: 0.2478 data_time: 0.0270 memory: 6108 grad_norm: 6.4874 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4316 loss: 1.4316 2022/07/23 03:42:52 - mmengine - INFO - Epoch(train) [52][3220/3757] lr: 1.0000e-03 eta: 11:45:52 time: 0.2270 data_time: 0.0176 memory: 6108 grad_norm: 6.7995 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3990 loss: 1.3990 2022/07/23 03:42:57 - mmengine - INFO - Epoch(train) [52][3240/3757] lr: 1.0000e-03 eta: 11:45:48 time: 0.2642 data_time: 0.0157 memory: 6108 grad_norm: 6.6239 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2508 loss: 1.2508 2022/07/23 03:43:02 - mmengine - INFO - Epoch(train) [52][3260/3757] lr: 1.0000e-03 eta: 11:45:43 time: 0.2220 data_time: 0.0223 memory: 6108 grad_norm: 6.6420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3130 loss: 1.3130 2022/07/23 03:43:07 - mmengine - INFO - Epoch(train) [52][3280/3757] lr: 1.0000e-03 eta: 11:45:39 time: 0.2434 data_time: 0.0184 memory: 6108 grad_norm: 6.8072 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1654 loss: 1.1654 2022/07/23 03:43:11 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 1.0000e-03 eta: 11:45:34 time: 0.2302 data_time: 0.0198 memory: 6108 grad_norm: 6.8426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3133 loss: 1.3133 2022/07/23 03:43:16 - mmengine - INFO - Epoch(train) [52][3320/3757] lr: 1.0000e-03 eta: 11:45:29 time: 0.2337 data_time: 0.0254 memory: 6108 grad_norm: 6.7858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/07/23 03:43:21 - mmengine - INFO - Epoch(train) [52][3340/3757] lr: 1.0000e-03 eta: 11:45:25 time: 0.2297 data_time: 0.0190 memory: 6108 grad_norm: 6.7866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4850 loss: 1.4850 2022/07/23 03:43:25 - mmengine - INFO - Epoch(train) [52][3360/3757] lr: 1.0000e-03 eta: 11:45:20 time: 0.2281 data_time: 0.0183 memory: 6108 grad_norm: 6.5365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5596 loss: 1.5596 2022/07/23 03:43:30 - mmengine - INFO - Epoch(train) [52][3380/3757] lr: 1.0000e-03 eta: 11:45:15 time: 0.2385 data_time: 0.0211 memory: 6108 grad_norm: 6.7712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/07/23 03:43:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:43:35 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 1.0000e-03 eta: 11:45:11 time: 0.2282 data_time: 0.0173 memory: 6108 grad_norm: 6.8320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/07/23 03:43:39 - mmengine - INFO - Epoch(train) [52][3420/3757] lr: 1.0000e-03 eta: 11:45:06 time: 0.2232 data_time: 0.0237 memory: 6108 grad_norm: 6.9087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5204 loss: 1.5204 2022/07/23 03:43:44 - mmengine - INFO - Epoch(train) [52][3440/3757] lr: 1.0000e-03 eta: 11:45:01 time: 0.2368 data_time: 0.0252 memory: 6108 grad_norm: 6.7416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3723 loss: 1.3723 2022/07/23 03:43:50 - mmengine - INFO - Epoch(train) [52][3460/3757] lr: 1.0000e-03 eta: 11:44:57 time: 0.2800 data_time: 0.0185 memory: 6108 grad_norm: 6.5274 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/23 03:43:54 - mmengine - INFO - Epoch(train) [52][3480/3757] lr: 1.0000e-03 eta: 11:44:52 time: 0.2317 data_time: 0.0220 memory: 6108 grad_norm: 6.6566 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4867 loss: 1.4867 2022/07/23 03:43:59 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 1.0000e-03 eta: 11:44:48 time: 0.2288 data_time: 0.0209 memory: 6108 grad_norm: 6.6647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2178 loss: 1.2178 2022/07/23 03:44:03 - mmengine - INFO - Epoch(train) [52][3520/3757] lr: 1.0000e-03 eta: 11:44:43 time: 0.2227 data_time: 0.0165 memory: 6108 grad_norm: 6.8032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4052 loss: 1.4052 2022/07/23 03:44:08 - mmengine - INFO - Epoch(train) [52][3540/3757] lr: 1.0000e-03 eta: 11:44:38 time: 0.2387 data_time: 0.0195 memory: 6108 grad_norm: 6.8720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3669 loss: 1.3669 2022/07/23 03:44:13 - mmengine - INFO - Epoch(train) [52][3560/3757] lr: 1.0000e-03 eta: 11:44:33 time: 0.2259 data_time: 0.0247 memory: 6108 grad_norm: 7.1090 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2796 loss: 1.2796 2022/07/23 03:44:17 - mmengine - INFO - Epoch(train) [52][3580/3757] lr: 1.0000e-03 eta: 11:44:29 time: 0.2308 data_time: 0.0178 memory: 6108 grad_norm: 6.3105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3550 loss: 1.3550 2022/07/23 03:44:22 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 1.0000e-03 eta: 11:44:24 time: 0.2448 data_time: 0.0234 memory: 6108 grad_norm: 6.6487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4901 loss: 1.4901 2022/07/23 03:44:27 - mmengine - INFO - Epoch(train) [52][3620/3757] lr: 1.0000e-03 eta: 11:44:20 time: 0.2387 data_time: 0.0218 memory: 6108 grad_norm: 6.6537 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4134 loss: 1.4134 2022/07/23 03:44:32 - mmengine - INFO - Epoch(train) [52][3640/3757] lr: 1.0000e-03 eta: 11:44:15 time: 0.2309 data_time: 0.0217 memory: 6108 grad_norm: 6.9479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3469 loss: 1.3469 2022/07/23 03:44:36 - mmengine - INFO - Epoch(train) [52][3660/3757] lr: 1.0000e-03 eta: 11:44:10 time: 0.2247 data_time: 0.0192 memory: 6108 grad_norm: 6.6931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/07/23 03:44:41 - mmengine - INFO - Epoch(train) [52][3680/3757] lr: 1.0000e-03 eta: 11:44:05 time: 0.2307 data_time: 0.0208 memory: 6108 grad_norm: 6.5397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/07/23 03:44:46 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 1.0000e-03 eta: 11:44:01 time: 0.2410 data_time: 0.0174 memory: 6108 grad_norm: 6.5820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2363 loss: 1.2363 2022/07/23 03:44:50 - mmengine - INFO - Epoch(train) [52][3720/3757] lr: 1.0000e-03 eta: 11:43:56 time: 0.2422 data_time: 0.0252 memory: 6108 grad_norm: 6.8354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3423 loss: 1.3423 2022/07/23 03:44:55 - mmengine - INFO - Epoch(train) [52][3740/3757] lr: 1.0000e-03 eta: 11:43:52 time: 0.2473 data_time: 0.0225 memory: 6108 grad_norm: 6.7040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2482 loss: 1.2482 2022/07/23 03:44:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:44:59 - mmengine - INFO - Epoch(train) [52][3757/3757] lr: 1.0000e-03 eta: 11:43:52 time: 0.1970 data_time: 0.0163 memory: 6108 grad_norm: 6.7412 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6150 loss: 1.6150 2022/07/23 03:45:04 - mmengine - INFO - Epoch(val) [52][20/310] eta: 0:01:16 time: 0.2642 data_time: 0.1805 memory: 1428 2022/07/23 03:45:08 - mmengine - INFO - Epoch(val) [52][40/310] eta: 0:00:51 time: 0.1904 data_time: 0.0957 memory: 1428 2022/07/23 03:45:12 - mmengine - INFO - Epoch(val) [52][60/310] eta: 0:00:57 time: 0.2310 data_time: 0.1564 memory: 1428 2022/07/23 03:45:16 - mmengine - INFO - Epoch(val) [52][80/310] eta: 0:00:43 time: 0.1892 data_time: 0.1108 memory: 1428 2022/07/23 03:45:21 - mmengine - INFO - Epoch(val) [52][100/310] eta: 0:00:50 time: 0.2386 data_time: 0.1599 memory: 1428 2022/07/23 03:45:25 - mmengine - INFO - Epoch(val) [52][120/310] eta: 0:00:35 time: 0.1884 data_time: 0.1138 memory: 1428 2022/07/23 03:45:30 - mmengine - INFO - Epoch(val) [52][140/310] eta: 0:00:41 time: 0.2440 data_time: 0.1452 memory: 1428 2022/07/23 03:45:34 - mmengine - INFO - Epoch(val) [52][160/310] eta: 0:00:33 time: 0.2213 data_time: 0.1481 memory: 1428 2022/07/23 03:45:39 - mmengine - INFO - Epoch(val) [52][180/310] eta: 0:00:28 time: 0.2194 data_time: 0.1436 memory: 1428 2022/07/23 03:45:43 - mmengine - INFO - Epoch(val) [52][200/310] eta: 0:00:22 time: 0.2001 data_time: 0.1243 memory: 1428 2022/07/23 03:45:48 - mmengine - INFO - Epoch(val) [52][220/310] eta: 0:00:22 time: 0.2531 data_time: 0.1767 memory: 1428 2022/07/23 03:45:51 - mmengine - INFO - Epoch(val) [52][240/310] eta: 0:00:13 time: 0.1876 data_time: 0.1136 memory: 1428 2022/07/23 03:45:56 - mmengine - INFO - Epoch(val) [52][260/310] eta: 0:00:12 time: 0.2442 data_time: 0.1680 memory: 1428 2022/07/23 03:46:00 - mmengine - INFO - Epoch(val) [52][280/310] eta: 0:00:05 time: 0.1833 data_time: 0.1097 memory: 1428 2022/07/23 03:46:04 - mmengine - INFO - Epoch(val) [52][300/310] eta: 0:00:02 time: 0.2056 data_time: 0.1325 memory: 1428 2022/07/23 03:46:08 - mmengine - INFO - Epoch(val) [52][310/310] acc/top1: 0.6469 acc/top5: 0.8541 acc/mean1: 0.6468 2022/07/23 03:46:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_52.pth is removed 2022/07/23 03:46:11 - mmengine - INFO - The best checkpoint with 0.6469 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2022/07/23 03:46:16 - mmengine - INFO - Epoch(train) [53][20/3757] lr: 1.0000e-03 eta: 11:43:40 time: 0.2679 data_time: 0.0658 memory: 6108 grad_norm: 6.6605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1765 loss: 1.1765 2022/07/23 03:46:21 - mmengine - INFO - Epoch(train) [53][40/3757] lr: 1.0000e-03 eta: 11:43:35 time: 0.2302 data_time: 0.0241 memory: 6108 grad_norm: 6.5810 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5424 loss: 1.5424 2022/07/23 03:46:26 - mmengine - INFO - Epoch(train) [53][60/3757] lr: 1.0000e-03 eta: 11:43:31 time: 0.2404 data_time: 0.0320 memory: 6108 grad_norm: 6.8340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5356 loss: 1.5356 2022/07/23 03:46:31 - mmengine - INFO - Epoch(train) [53][80/3757] lr: 1.0000e-03 eta: 11:43:26 time: 0.2305 data_time: 0.0167 memory: 6108 grad_norm: 6.5797 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3090 loss: 1.3090 2022/07/23 03:46:36 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 1.0000e-03 eta: 11:43:21 time: 0.2495 data_time: 0.0209 memory: 6108 grad_norm: 6.8013 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3979 loss: 1.3979 2022/07/23 03:46:40 - mmengine - INFO - Epoch(train) [53][120/3757] lr: 1.0000e-03 eta: 11:43:17 time: 0.2282 data_time: 0.0257 memory: 6108 grad_norm: 6.7138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/07/23 03:46:45 - mmengine - INFO - Epoch(train) [53][140/3757] lr: 1.0000e-03 eta: 11:43:12 time: 0.2287 data_time: 0.0206 memory: 6108 grad_norm: 6.9402 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7116 loss: 1.7116 2022/07/23 03:46:49 - mmengine - INFO - Epoch(train) [53][160/3757] lr: 1.0000e-03 eta: 11:43:07 time: 0.2342 data_time: 0.0224 memory: 6108 grad_norm: 6.8705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5162 loss: 1.5162 2022/07/23 03:46:54 - mmengine - INFO - Epoch(train) [53][180/3757] lr: 1.0000e-03 eta: 11:43:03 time: 0.2524 data_time: 0.0215 memory: 6108 grad_norm: 6.6856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/07/23 03:46:59 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 1.0000e-03 eta: 11:42:58 time: 0.2269 data_time: 0.0212 memory: 6108 grad_norm: 6.7506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2863 loss: 1.2863 2022/07/23 03:47:04 - mmengine - INFO - Epoch(train) [53][220/3757] lr: 1.0000e-03 eta: 11:42:54 time: 0.2488 data_time: 0.0189 memory: 6108 grad_norm: 6.5496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6441 loss: 1.6441 2022/07/23 03:47:09 - mmengine - INFO - Epoch(train) [53][240/3757] lr: 1.0000e-03 eta: 11:42:49 time: 0.2298 data_time: 0.0233 memory: 6108 grad_norm: 6.9399 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4717 loss: 1.4717 2022/07/23 03:47:13 - mmengine - INFO - Epoch(train) [53][260/3757] lr: 1.0000e-03 eta: 11:42:44 time: 0.2261 data_time: 0.0238 memory: 6108 grad_norm: 6.6598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3625 loss: 1.3625 2022/07/23 03:47:18 - mmengine - INFO - Epoch(train) [53][280/3757] lr: 1.0000e-03 eta: 11:42:39 time: 0.2355 data_time: 0.0221 memory: 6108 grad_norm: 6.7481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2310 loss: 1.2310 2022/07/23 03:47:23 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 1.0000e-03 eta: 11:42:35 time: 0.2281 data_time: 0.0200 memory: 6108 grad_norm: 6.5880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2796 loss: 1.2796 2022/07/23 03:47:27 - mmengine - INFO - Epoch(train) [53][320/3757] lr: 1.0000e-03 eta: 11:42:30 time: 0.2437 data_time: 0.0315 memory: 6108 grad_norm: 6.5176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6880 loss: 1.6880 2022/07/23 03:47:32 - mmengine - INFO - Epoch(train) [53][340/3757] lr: 1.0000e-03 eta: 11:42:25 time: 0.2255 data_time: 0.0183 memory: 6108 grad_norm: 6.8156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1896 loss: 1.1896 2022/07/23 03:47:37 - mmengine - INFO - Epoch(train) [53][360/3757] lr: 1.0000e-03 eta: 11:42:21 time: 0.2390 data_time: 0.0226 memory: 6108 grad_norm: 6.6008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/07/23 03:47:41 - mmengine - INFO - Epoch(train) [53][380/3757] lr: 1.0000e-03 eta: 11:42:16 time: 0.2329 data_time: 0.0308 memory: 6108 grad_norm: 6.7677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2564 loss: 1.2564 2022/07/23 03:47:46 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 1.0000e-03 eta: 11:42:11 time: 0.2262 data_time: 0.0206 memory: 6108 grad_norm: 6.6200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/07/23 03:47:51 - mmengine - INFO - Epoch(train) [53][420/3757] lr: 1.0000e-03 eta: 11:42:07 time: 0.2704 data_time: 0.0312 memory: 6108 grad_norm: 6.7556 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4864 loss: 1.4864 2022/07/23 03:47:56 - mmengine - INFO - Epoch(train) [53][440/3757] lr: 1.0000e-03 eta: 11:42:02 time: 0.2196 data_time: 0.0201 memory: 6108 grad_norm: 6.4176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4171 loss: 1.4171 2022/07/23 03:48:01 - mmengine - INFO - Epoch(train) [53][460/3757] lr: 1.0000e-03 eta: 11:41:57 time: 0.2351 data_time: 0.0217 memory: 6108 grad_norm: 6.8547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4126 loss: 1.4126 2022/07/23 03:48:05 - mmengine - INFO - Epoch(train) [53][480/3757] lr: 1.0000e-03 eta: 11:41:53 time: 0.2312 data_time: 0.0277 memory: 6108 grad_norm: 6.7128 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4349 loss: 1.4349 2022/07/23 03:48:10 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 1.0000e-03 eta: 11:41:48 time: 0.2457 data_time: 0.0254 memory: 6108 grad_norm: 6.8325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5066 loss: 1.5066 2022/07/23 03:48:15 - mmengine - INFO - Epoch(train) [53][520/3757] lr: 1.0000e-03 eta: 11:41:43 time: 0.2273 data_time: 0.0190 memory: 6108 grad_norm: 6.6922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4340 loss: 1.4340 2022/07/23 03:48:19 - mmengine - INFO - Epoch(train) [53][540/3757] lr: 1.0000e-03 eta: 11:41:39 time: 0.2334 data_time: 0.0269 memory: 6108 grad_norm: 6.7466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/07/23 03:48:24 - mmengine - INFO - Epoch(train) [53][560/3757] lr: 1.0000e-03 eta: 11:41:34 time: 0.2347 data_time: 0.0232 memory: 6108 grad_norm: 6.6925 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3798 loss: 1.3798 2022/07/23 03:48:29 - mmengine - INFO - Epoch(train) [53][580/3757] lr: 1.0000e-03 eta: 11:41:29 time: 0.2335 data_time: 0.0205 memory: 6108 grad_norm: 6.4537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2440 loss: 1.2440 2022/07/23 03:48:33 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 1.0000e-03 eta: 11:41:25 time: 0.2278 data_time: 0.0231 memory: 6108 grad_norm: 6.8315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9997 loss: 1.9997 2022/07/23 03:48:38 - mmengine - INFO - Epoch(train) [53][620/3757] lr: 1.0000e-03 eta: 11:41:20 time: 0.2434 data_time: 0.0219 memory: 6108 grad_norm: 6.4595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1774 loss: 1.1774 2022/07/23 03:48:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:48:43 - mmengine - INFO - Epoch(train) [53][640/3757] lr: 1.0000e-03 eta: 11:41:15 time: 0.2322 data_time: 0.0195 memory: 6108 grad_norm: 6.7409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4541 loss: 1.4541 2022/07/23 03:48:48 - mmengine - INFO - Epoch(train) [53][660/3757] lr: 1.0000e-03 eta: 11:41:11 time: 0.2388 data_time: 0.0273 memory: 6108 grad_norm: 6.9240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8195 loss: 1.8195 2022/07/23 03:48:52 - mmengine - INFO - Epoch(train) [53][680/3757] lr: 1.0000e-03 eta: 11:41:06 time: 0.2285 data_time: 0.0199 memory: 6108 grad_norm: 7.0170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3911 loss: 1.3911 2022/07/23 03:48:57 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 1.0000e-03 eta: 11:41:01 time: 0.2432 data_time: 0.0205 memory: 6108 grad_norm: 6.2368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/07/23 03:49:02 - mmengine - INFO - Epoch(train) [53][720/3757] lr: 1.0000e-03 eta: 11:40:57 time: 0.2287 data_time: 0.0248 memory: 6108 grad_norm: 6.9564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/07/23 03:49:06 - mmengine - INFO - Epoch(train) [53][740/3757] lr: 1.0000e-03 eta: 11:40:52 time: 0.2277 data_time: 0.0241 memory: 6108 grad_norm: 6.7366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4572 loss: 1.4572 2022/07/23 03:49:11 - mmengine - INFO - Epoch(train) [53][760/3757] lr: 1.0000e-03 eta: 11:40:47 time: 0.2305 data_time: 0.0265 memory: 6108 grad_norm: 6.8229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7310 loss: 1.7310 2022/07/23 03:49:15 - mmengine - INFO - Epoch(train) [53][780/3757] lr: 1.0000e-03 eta: 11:40:42 time: 0.2215 data_time: 0.0221 memory: 6108 grad_norm: 6.7776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7095 loss: 1.7095 2022/07/23 03:49:20 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 1.0000e-03 eta: 11:40:38 time: 0.2370 data_time: 0.0225 memory: 6108 grad_norm: 6.6677 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4716 loss: 1.4716 2022/07/23 03:49:25 - mmengine - INFO - Epoch(train) [53][820/3757] lr: 1.0000e-03 eta: 11:40:33 time: 0.2374 data_time: 0.0227 memory: 6108 grad_norm: 6.7747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4667 loss: 1.4667 2022/07/23 03:49:30 - mmengine - INFO - Epoch(train) [53][840/3757] lr: 1.0000e-03 eta: 11:40:28 time: 0.2322 data_time: 0.0222 memory: 6108 grad_norm: 6.3275 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1179 loss: 1.1179 2022/07/23 03:49:34 - mmengine - INFO - Epoch(train) [53][860/3757] lr: 1.0000e-03 eta: 11:40:24 time: 0.2337 data_time: 0.0197 memory: 6108 grad_norm: 6.7937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2614 loss: 1.2614 2022/07/23 03:49:39 - mmengine - INFO - Epoch(train) [53][880/3757] lr: 1.0000e-03 eta: 11:40:19 time: 0.2433 data_time: 0.0236 memory: 6108 grad_norm: 6.7869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4620 loss: 1.4620 2022/07/23 03:49:44 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 1.0000e-03 eta: 11:40:14 time: 0.2398 data_time: 0.0252 memory: 6108 grad_norm: 6.7799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4549 loss: 1.4549 2022/07/23 03:49:49 - mmengine - INFO - Epoch(train) [53][920/3757] lr: 1.0000e-03 eta: 11:40:10 time: 0.2311 data_time: 0.0222 memory: 6108 grad_norm: 6.6894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7958 loss: 1.7958 2022/07/23 03:49:53 - mmengine - INFO - Epoch(train) [53][940/3757] lr: 1.0000e-03 eta: 11:40:05 time: 0.2421 data_time: 0.0174 memory: 6108 grad_norm: 6.8675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/07/23 03:49:58 - mmengine - INFO - Epoch(train) [53][960/3757] lr: 1.0000e-03 eta: 11:40:01 time: 0.2358 data_time: 0.0234 memory: 6108 grad_norm: 6.9648 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3724 loss: 1.3724 2022/07/23 03:50:03 - mmengine - INFO - Epoch(train) [53][980/3757] lr: 1.0000e-03 eta: 11:39:56 time: 0.2323 data_time: 0.0224 memory: 6108 grad_norm: 6.7018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3649 loss: 1.3649 2022/07/23 03:50:08 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 1.0000e-03 eta: 11:39:51 time: 0.2399 data_time: 0.0231 memory: 6108 grad_norm: 6.6446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1391 loss: 1.1391 2022/07/23 03:50:12 - mmengine - INFO - Epoch(train) [53][1020/3757] lr: 1.0000e-03 eta: 11:39:46 time: 0.2267 data_time: 0.0212 memory: 6108 grad_norm: 6.9694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4909 loss: 1.4909 2022/07/23 03:50:17 - mmengine - INFO - Epoch(train) [53][1040/3757] lr: 1.0000e-03 eta: 11:39:42 time: 0.2427 data_time: 0.0226 memory: 6108 grad_norm: 7.0699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/07/23 03:50:22 - mmengine - INFO - Epoch(train) [53][1060/3757] lr: 1.0000e-03 eta: 11:39:37 time: 0.2286 data_time: 0.0184 memory: 6108 grad_norm: 6.7090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6366 loss: 1.6366 2022/07/23 03:50:26 - mmengine - INFO - Epoch(train) [53][1080/3757] lr: 1.0000e-03 eta: 11:39:32 time: 0.2265 data_time: 0.0274 memory: 6108 grad_norm: 6.7367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4774 loss: 1.4774 2022/07/23 03:50:31 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 1.0000e-03 eta: 11:39:28 time: 0.2353 data_time: 0.0177 memory: 6108 grad_norm: 6.8063 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5559 loss: 1.5559 2022/07/23 03:50:36 - mmengine - INFO - Epoch(train) [53][1120/3757] lr: 1.0000e-03 eta: 11:39:23 time: 0.2282 data_time: 0.0206 memory: 6108 grad_norm: 6.6672 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/07/23 03:50:40 - mmengine - INFO - Epoch(train) [53][1140/3757] lr: 1.0000e-03 eta: 11:39:18 time: 0.2383 data_time: 0.0217 memory: 6108 grad_norm: 6.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4929 loss: 1.4929 2022/07/23 03:50:45 - mmengine - INFO - Epoch(train) [53][1160/3757] lr: 1.0000e-03 eta: 11:39:13 time: 0.2245 data_time: 0.0231 memory: 6108 grad_norm: 6.9471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5141 loss: 1.5141 2022/07/23 03:50:49 - mmengine - INFO - Epoch(train) [53][1180/3757] lr: 1.0000e-03 eta: 11:39:09 time: 0.2282 data_time: 0.0178 memory: 6108 grad_norm: 6.9526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5584 loss: 1.5584 2022/07/23 03:50:54 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 1.0000e-03 eta: 11:39:04 time: 0.2360 data_time: 0.0259 memory: 6108 grad_norm: 6.6234 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5170 loss: 1.5170 2022/07/23 03:50:59 - mmengine - INFO - Epoch(train) [53][1220/3757] lr: 1.0000e-03 eta: 11:39:00 time: 0.2508 data_time: 0.0421 memory: 6108 grad_norm: 6.7895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2498 loss: 1.2498 2022/07/23 03:51:04 - mmengine - INFO - Epoch(train) [53][1240/3757] lr: 1.0000e-03 eta: 11:38:55 time: 0.2368 data_time: 0.0316 memory: 6108 grad_norm: 6.6566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3788 loss: 1.3788 2022/07/23 03:51:09 - mmengine - INFO - Epoch(train) [53][1260/3757] lr: 1.0000e-03 eta: 11:38:50 time: 0.2318 data_time: 0.0199 memory: 6108 grad_norm: 6.9040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5643 loss: 1.5643 2022/07/23 03:51:13 - mmengine - INFO - Epoch(train) [53][1280/3757] lr: 1.0000e-03 eta: 11:38:45 time: 0.2273 data_time: 0.0262 memory: 6108 grad_norm: 6.7971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5443 loss: 1.5443 2022/07/23 03:51:18 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 1.0000e-03 eta: 11:38:41 time: 0.2496 data_time: 0.0357 memory: 6108 grad_norm: 6.5163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4870 loss: 1.4870 2022/07/23 03:51:23 - mmengine - INFO - Epoch(train) [53][1320/3757] lr: 1.0000e-03 eta: 11:38:36 time: 0.2200 data_time: 0.0229 memory: 6108 grad_norm: 6.8478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2884 loss: 1.2884 2022/07/23 03:51:27 - mmengine - INFO - Epoch(train) [53][1340/3757] lr: 1.0000e-03 eta: 11:38:31 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 6.5835 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3777 loss: 1.3777 2022/07/23 03:51:32 - mmengine - INFO - Epoch(train) [53][1360/3757] lr: 1.0000e-03 eta: 11:38:26 time: 0.2243 data_time: 0.0200 memory: 6108 grad_norm: 6.6344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3372 loss: 1.3372 2022/07/23 03:51:36 - mmengine - INFO - Epoch(train) [53][1380/3757] lr: 1.0000e-03 eta: 11:38:22 time: 0.2280 data_time: 0.0220 memory: 6108 grad_norm: 6.8080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3351 loss: 1.3351 2022/07/23 03:51:41 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 1.0000e-03 eta: 11:38:17 time: 0.2326 data_time: 0.0185 memory: 6108 grad_norm: 6.9072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3109 loss: 1.3109 2022/07/23 03:51:46 - mmengine - INFO - Epoch(train) [53][1420/3757] lr: 1.0000e-03 eta: 11:38:12 time: 0.2296 data_time: 0.0254 memory: 6108 grad_norm: 7.0283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/07/23 03:51:51 - mmengine - INFO - Epoch(train) [53][1440/3757] lr: 1.0000e-03 eta: 11:38:08 time: 0.2462 data_time: 0.0224 memory: 6108 grad_norm: 6.6626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5444 loss: 1.5444 2022/07/23 03:51:55 - mmengine - INFO - Epoch(train) [53][1460/3757] lr: 1.0000e-03 eta: 11:38:03 time: 0.2360 data_time: 0.0203 memory: 6108 grad_norm: 6.7219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/07/23 03:52:00 - mmengine - INFO - Epoch(train) [53][1480/3757] lr: 1.0000e-03 eta: 11:37:59 time: 0.2499 data_time: 0.0258 memory: 6108 grad_norm: 6.7542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3781 loss: 1.3781 2022/07/23 03:52:05 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 1.0000e-03 eta: 11:37:54 time: 0.2290 data_time: 0.0234 memory: 6108 grad_norm: 6.7101 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5917 loss: 1.5917 2022/07/23 03:52:10 - mmengine - INFO - Epoch(train) [53][1520/3757] lr: 1.0000e-03 eta: 11:37:49 time: 0.2321 data_time: 0.0242 memory: 6108 grad_norm: 6.7125 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3223 loss: 1.3223 2022/07/23 03:52:14 - mmengine - INFO - Epoch(train) [53][1540/3757] lr: 1.0000e-03 eta: 11:37:44 time: 0.2242 data_time: 0.0277 memory: 6108 grad_norm: 6.6537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4836 loss: 1.4836 2022/07/23 03:52:19 - mmengine - INFO - Epoch(train) [53][1560/3757] lr: 1.0000e-03 eta: 11:37:40 time: 0.2460 data_time: 0.0410 memory: 6108 grad_norm: 6.5980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5547 loss: 1.5547 2022/07/23 03:52:24 - mmengine - INFO - Epoch(train) [53][1580/3757] lr: 1.0000e-03 eta: 11:37:35 time: 0.2335 data_time: 0.0298 memory: 6108 grad_norm: 6.9337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5665 loss: 1.5665 2022/07/23 03:52:28 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 1.0000e-03 eta: 11:37:30 time: 0.2300 data_time: 0.0232 memory: 6108 grad_norm: 6.7632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3404 loss: 1.3404 2022/07/23 03:52:33 - mmengine - INFO - Epoch(train) [53][1620/3757] lr: 1.0000e-03 eta: 11:37:26 time: 0.2333 data_time: 0.0262 memory: 6108 grad_norm: 7.0607 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8125 loss: 1.8125 2022/07/23 03:52:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:52:38 - mmengine - INFO - Epoch(train) [53][1640/3757] lr: 1.0000e-03 eta: 11:37:21 time: 0.2328 data_time: 0.0182 memory: 6108 grad_norm: 6.8655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3525 loss: 1.3525 2022/07/23 03:52:42 - mmengine - INFO - Epoch(train) [53][1660/3757] lr: 1.0000e-03 eta: 11:37:16 time: 0.2268 data_time: 0.0192 memory: 6108 grad_norm: 6.8557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/07/23 03:52:47 - mmengine - INFO - Epoch(train) [53][1680/3757] lr: 1.0000e-03 eta: 11:37:12 time: 0.2523 data_time: 0.0194 memory: 6108 grad_norm: 6.8903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7338 loss: 1.7338 2022/07/23 03:52:52 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 1.0000e-03 eta: 11:37:07 time: 0.2231 data_time: 0.0195 memory: 6108 grad_norm: 6.7439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2846 loss: 1.2846 2022/07/23 03:52:57 - mmengine - INFO - Epoch(train) [53][1720/3757] lr: 1.0000e-03 eta: 11:37:02 time: 0.2427 data_time: 0.0217 memory: 6108 grad_norm: 6.7970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4706 loss: 1.4706 2022/07/23 03:53:01 - mmengine - INFO - Epoch(train) [53][1740/3757] lr: 1.0000e-03 eta: 11:36:58 time: 0.2288 data_time: 0.0284 memory: 6108 grad_norm: 6.6412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2520 loss: 1.2520 2022/07/23 03:53:06 - mmengine - INFO - Epoch(train) [53][1760/3757] lr: 1.0000e-03 eta: 11:36:53 time: 0.2386 data_time: 0.0208 memory: 6108 grad_norm: 6.7817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5236 loss: 1.5236 2022/07/23 03:53:11 - mmengine - INFO - Epoch(train) [53][1780/3757] lr: 1.0000e-03 eta: 11:36:49 time: 0.2565 data_time: 0.0206 memory: 6108 grad_norm: 6.8293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/07/23 03:53:16 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 1.0000e-03 eta: 11:36:44 time: 0.2250 data_time: 0.0251 memory: 6108 grad_norm: 6.9160 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/07/23 03:53:20 - mmengine - INFO - Epoch(train) [53][1820/3757] lr: 1.0000e-03 eta: 11:36:39 time: 0.2297 data_time: 0.0252 memory: 6108 grad_norm: 7.0345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3630 loss: 1.3630 2022/07/23 03:53:25 - mmengine - INFO - Epoch(train) [53][1840/3757] lr: 1.0000e-03 eta: 11:36:34 time: 0.2246 data_time: 0.0200 memory: 6108 grad_norm: 6.8796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/07/23 03:53:30 - mmengine - INFO - Epoch(train) [53][1860/3757] lr: 1.0000e-03 eta: 11:36:30 time: 0.2366 data_time: 0.0222 memory: 6108 grad_norm: 6.5775 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5283 loss: 1.5283 2022/07/23 03:53:34 - mmengine - INFO - Epoch(train) [53][1880/3757] lr: 1.0000e-03 eta: 11:36:25 time: 0.2309 data_time: 0.0206 memory: 6108 grad_norm: 6.6336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2811 loss: 1.2811 2022/07/23 03:53:39 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 1.0000e-03 eta: 11:36:20 time: 0.2252 data_time: 0.0196 memory: 6108 grad_norm: 6.7336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3553 loss: 1.3553 2022/07/23 03:53:43 - mmengine - INFO - Epoch(train) [53][1920/3757] lr: 1.0000e-03 eta: 11:36:15 time: 0.2308 data_time: 0.0246 memory: 6108 grad_norm: 6.9518 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7510 loss: 1.7510 2022/07/23 03:53:48 - mmengine - INFO - Epoch(train) [53][1940/3757] lr: 1.0000e-03 eta: 11:36:11 time: 0.2377 data_time: 0.0266 memory: 6108 grad_norm: 6.5459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3742 loss: 1.3742 2022/07/23 03:53:53 - mmengine - INFO - Epoch(train) [53][1960/3757] lr: 1.0000e-03 eta: 11:36:06 time: 0.2293 data_time: 0.0332 memory: 6108 grad_norm: 7.0437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4233 loss: 1.4233 2022/07/23 03:53:58 - mmengine - INFO - Epoch(train) [53][1980/3757] lr: 1.0000e-03 eta: 11:36:01 time: 0.2372 data_time: 0.0195 memory: 6108 grad_norm: 6.6290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0669 loss: 1.0669 2022/07/23 03:54:02 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 1.0000e-03 eta: 11:35:57 time: 0.2419 data_time: 0.0243 memory: 6108 grad_norm: 6.7882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/07/23 03:54:07 - mmengine - INFO - Epoch(train) [53][2020/3757] lr: 1.0000e-03 eta: 11:35:52 time: 0.2436 data_time: 0.0202 memory: 6108 grad_norm: 6.6274 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5025 loss: 1.5025 2022/07/23 03:54:12 - mmengine - INFO - Epoch(train) [53][2040/3757] lr: 1.0000e-03 eta: 11:35:47 time: 0.2310 data_time: 0.0246 memory: 6108 grad_norm: 6.8144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3416 loss: 1.3416 2022/07/23 03:54:16 - mmengine - INFO - Epoch(train) [53][2060/3757] lr: 1.0000e-03 eta: 11:35:43 time: 0.2268 data_time: 0.0194 memory: 6108 grad_norm: 6.9995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3115 loss: 1.3115 2022/07/23 03:54:21 - mmengine - INFO - Epoch(train) [53][2080/3757] lr: 1.0000e-03 eta: 11:35:38 time: 0.2384 data_time: 0.0238 memory: 6108 grad_norm: 6.8973 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4995 loss: 1.4995 2022/07/23 03:54:26 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 1.0000e-03 eta: 11:35:33 time: 0.2335 data_time: 0.0283 memory: 6108 grad_norm: 6.5560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2603 loss: 1.2603 2022/07/23 03:54:31 - mmengine - INFO - Epoch(train) [53][2120/3757] lr: 1.0000e-03 eta: 11:35:29 time: 0.2322 data_time: 0.0216 memory: 6108 grad_norm: 6.8667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3092 loss: 1.3092 2022/07/23 03:54:35 - mmengine - INFO - Epoch(train) [53][2140/3757] lr: 1.0000e-03 eta: 11:35:24 time: 0.2282 data_time: 0.0202 memory: 6108 grad_norm: 6.7822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4256 loss: 1.4256 2022/07/23 03:54:40 - mmengine - INFO - Epoch(train) [53][2160/3757] lr: 1.0000e-03 eta: 11:35:20 time: 0.2558 data_time: 0.0253 memory: 6108 grad_norm: 7.1202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4321 loss: 1.4321 2022/07/23 03:54:45 - mmengine - INFO - Epoch(train) [53][2180/3757] lr: 1.0000e-03 eta: 11:35:15 time: 0.2309 data_time: 0.0210 memory: 6108 grad_norm: 6.9776 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2809 loss: 1.2809 2022/07/23 03:54:50 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 1.0000e-03 eta: 11:35:10 time: 0.2266 data_time: 0.0264 memory: 6108 grad_norm: 6.8826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5601 loss: 1.5601 2022/07/23 03:54:54 - mmengine - INFO - Epoch(train) [53][2220/3757] lr: 1.0000e-03 eta: 11:35:05 time: 0.2284 data_time: 0.0277 memory: 6108 grad_norm: 6.8227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2534 loss: 1.2534 2022/07/23 03:54:59 - mmengine - INFO - Epoch(train) [53][2240/3757] lr: 1.0000e-03 eta: 11:35:00 time: 0.2278 data_time: 0.0176 memory: 6108 grad_norm: 6.5961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/07/23 03:55:03 - mmengine - INFO - Epoch(train) [53][2260/3757] lr: 1.0000e-03 eta: 11:34:56 time: 0.2265 data_time: 0.0242 memory: 6108 grad_norm: 6.7971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5924 loss: 1.5924 2022/07/23 03:55:08 - mmengine - INFO - Epoch(train) [53][2280/3757] lr: 1.0000e-03 eta: 11:34:51 time: 0.2569 data_time: 0.0216 memory: 6108 grad_norm: 6.8475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4020 loss: 1.4020 2022/07/23 03:55:13 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 1.0000e-03 eta: 11:34:46 time: 0.2250 data_time: 0.0201 memory: 6108 grad_norm: 6.7987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4013 loss: 1.4013 2022/07/23 03:55:18 - mmengine - INFO - Epoch(train) [53][2320/3757] lr: 1.0000e-03 eta: 11:34:42 time: 0.2296 data_time: 0.0264 memory: 6108 grad_norm: 6.8154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/07/23 03:55:22 - mmengine - INFO - Epoch(train) [53][2340/3757] lr: 1.0000e-03 eta: 11:34:37 time: 0.2272 data_time: 0.0244 memory: 6108 grad_norm: 6.7626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2629 loss: 1.2629 2022/07/23 03:55:27 - mmengine - INFO - Epoch(train) [53][2360/3757] lr: 1.0000e-03 eta: 11:34:32 time: 0.2413 data_time: 0.0247 memory: 6108 grad_norm: 6.6954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4994 loss: 1.4994 2022/07/23 03:55:32 - mmengine - INFO - Epoch(train) [53][2380/3757] lr: 1.0000e-03 eta: 11:34:28 time: 0.2519 data_time: 0.0209 memory: 6108 grad_norm: 6.7299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/07/23 03:55:37 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 1.0000e-03 eta: 11:34:23 time: 0.2314 data_time: 0.0217 memory: 6108 grad_norm: 7.0567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/07/23 03:55:41 - mmengine - INFO - Epoch(train) [53][2420/3757] lr: 1.0000e-03 eta: 11:34:18 time: 0.2313 data_time: 0.0247 memory: 6108 grad_norm: 6.6843 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4274 loss: 1.4274 2022/07/23 03:55:46 - mmengine - INFO - Epoch(train) [53][2440/3757] lr: 1.0000e-03 eta: 11:34:14 time: 0.2220 data_time: 0.0232 memory: 6108 grad_norm: 6.8511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5862 loss: 1.5862 2022/07/23 03:55:50 - mmengine - INFO - Epoch(train) [53][2460/3757] lr: 1.0000e-03 eta: 11:34:09 time: 0.2349 data_time: 0.0198 memory: 6108 grad_norm: 6.8718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5067 loss: 1.5067 2022/07/23 03:55:55 - mmengine - INFO - Epoch(train) [53][2480/3757] lr: 1.0000e-03 eta: 11:34:04 time: 0.2287 data_time: 0.0219 memory: 6108 grad_norm: 6.7240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3454 loss: 1.3454 2022/07/23 03:56:00 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 1.0000e-03 eta: 11:34:00 time: 0.2707 data_time: 0.0184 memory: 6108 grad_norm: 6.9246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/07/23 03:56:05 - mmengine - INFO - Epoch(train) [53][2520/3757] lr: 1.0000e-03 eta: 11:33:55 time: 0.2275 data_time: 0.0282 memory: 6108 grad_norm: 6.8696 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5503 loss: 1.5503 2022/07/23 03:56:10 - mmengine - INFO - Epoch(train) [53][2540/3757] lr: 1.0000e-03 eta: 11:33:51 time: 0.2328 data_time: 0.0222 memory: 6108 grad_norm: 6.9104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9676 loss: 0.9676 2022/07/23 03:56:14 - mmengine - INFO - Epoch(train) [53][2560/3757] lr: 1.0000e-03 eta: 11:33:46 time: 0.2276 data_time: 0.0181 memory: 6108 grad_norm: 6.8492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4309 loss: 1.4309 2022/07/23 03:56:19 - mmengine - INFO - Epoch(train) [53][2580/3757] lr: 1.0000e-03 eta: 11:33:41 time: 0.2391 data_time: 0.0242 memory: 6108 grad_norm: 6.8398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4934 loss: 1.4934 2022/07/23 03:56:24 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 1.0000e-03 eta: 11:33:37 time: 0.2425 data_time: 0.0243 memory: 6108 grad_norm: 6.7631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/07/23 03:56:29 - mmengine - INFO - Epoch(train) [53][2620/3757] lr: 1.0000e-03 eta: 11:33:32 time: 0.2409 data_time: 0.0207 memory: 6108 grad_norm: 6.7155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/07/23 03:56:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 03:56:33 - mmengine - INFO - Epoch(train) [53][2640/3757] lr: 1.0000e-03 eta: 11:33:27 time: 0.2305 data_time: 0.0301 memory: 6108 grad_norm: 6.7207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3378 loss: 1.3378 2022/07/23 03:56:38 - mmengine - INFO - Epoch(train) [53][2660/3757] lr: 1.0000e-03 eta: 11:33:23 time: 0.2294 data_time: 0.0276 memory: 6108 grad_norm: 7.2419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/07/23 03:56:43 - mmengine - INFO - Epoch(train) [53][2680/3757] lr: 1.0000e-03 eta: 11:33:18 time: 0.2310 data_time: 0.0240 memory: 6108 grad_norm: 6.4702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4660 loss: 1.4660 2022/07/23 03:56:48 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 1.0000e-03 eta: 11:33:13 time: 0.2482 data_time: 0.0201 memory: 6108 grad_norm: 6.6961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5116 loss: 1.5116 2022/07/23 03:56:52 - mmengine - INFO - Epoch(train) [53][2720/3757] lr: 1.0000e-03 eta: 11:33:09 time: 0.2292 data_time: 0.0228 memory: 6108 grad_norm: 6.8586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7471 loss: 1.7471 2022/07/23 03:56:57 - mmengine - INFO - Epoch(train) [53][2740/3757] lr: 1.0000e-03 eta: 11:33:04 time: 0.2258 data_time: 0.0212 memory: 6108 grad_norm: 6.9194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2679 loss: 1.2679 2022/07/23 03:57:01 - mmengine - INFO - Epoch(train) [53][2760/3757] lr: 1.0000e-03 eta: 11:32:59 time: 0.2309 data_time: 0.0284 memory: 6108 grad_norm: 6.4644 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2725 loss: 1.2725 2022/07/23 03:57:06 - mmengine - INFO - Epoch(train) [53][2780/3757] lr: 1.0000e-03 eta: 11:32:54 time: 0.2310 data_time: 0.0211 memory: 6108 grad_norm: 6.5676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3828 loss: 1.3828 2022/07/23 03:57:11 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 1.0000e-03 eta: 11:32:50 time: 0.2392 data_time: 0.0190 memory: 6108 grad_norm: 6.7591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4535 loss: 1.4535 2022/07/23 03:57:15 - mmengine - INFO - Epoch(train) [53][2820/3757] lr: 1.0000e-03 eta: 11:32:45 time: 0.2242 data_time: 0.0213 memory: 6108 grad_norm: 6.9102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5600 loss: 1.5600 2022/07/23 03:57:20 - mmengine - INFO - Epoch(train) [53][2840/3757] lr: 1.0000e-03 eta: 11:32:40 time: 0.2288 data_time: 0.0226 memory: 6108 grad_norm: 6.7705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1326 loss: 1.1326 2022/07/23 03:57:25 - mmengine - INFO - Epoch(train) [53][2860/3757] lr: 1.0000e-03 eta: 11:32:35 time: 0.2299 data_time: 0.0199 memory: 6108 grad_norm: 6.8906 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3627 loss: 1.3627 2022/07/23 03:57:30 - mmengine - INFO - Epoch(train) [53][2880/3757] lr: 1.0000e-03 eta: 11:32:31 time: 0.2795 data_time: 0.0199 memory: 6108 grad_norm: 6.9188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/07/23 03:57:35 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 1.0000e-03 eta: 11:32:27 time: 0.2263 data_time: 0.0221 memory: 6108 grad_norm: 6.8419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2919 loss: 1.2919 2022/07/23 03:57:39 - mmengine - INFO - Epoch(train) [53][2920/3757] lr: 1.0000e-03 eta: 11:32:22 time: 0.2338 data_time: 0.0307 memory: 6108 grad_norm: 6.8159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5587 loss: 1.5587 2022/07/23 03:57:44 - mmengine - INFO - Epoch(train) [53][2940/3757] lr: 1.0000e-03 eta: 11:32:17 time: 0.2265 data_time: 0.0239 memory: 6108 grad_norm: 6.5999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2987 loss: 1.2987 2022/07/23 03:57:49 - mmengine - INFO - Epoch(train) [53][2960/3757] lr: 1.0000e-03 eta: 11:32:13 time: 0.2393 data_time: 0.0229 memory: 6108 grad_norm: 6.7840 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5510 loss: 1.5510 2022/07/23 03:57:53 - mmengine - INFO - Epoch(train) [53][2980/3757] lr: 1.0000e-03 eta: 11:32:08 time: 0.2270 data_time: 0.0211 memory: 6108 grad_norm: 6.9973 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4322 loss: 1.4322 2022/07/23 03:57:58 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 1.0000e-03 eta: 11:32:03 time: 0.2350 data_time: 0.0252 memory: 6108 grad_norm: 6.8067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3624 loss: 1.3624 2022/07/23 03:58:03 - mmengine - INFO - Epoch(train) [53][3020/3757] lr: 1.0000e-03 eta: 11:31:58 time: 0.2254 data_time: 0.0195 memory: 6108 grad_norm: 6.7137 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7044 loss: 1.7044 2022/07/23 03:58:07 - mmengine - INFO - Epoch(train) [53][3040/3757] lr: 1.0000e-03 eta: 11:31:53 time: 0.2278 data_time: 0.0229 memory: 6108 grad_norm: 6.6534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2979 loss: 1.2979 2022/07/23 03:58:12 - mmengine - INFO - Epoch(train) [53][3060/3757] lr: 1.0000e-03 eta: 11:31:49 time: 0.2517 data_time: 0.0281 memory: 6108 grad_norm: 6.6250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5462 loss: 1.5462 2022/07/23 03:58:17 - mmengine - INFO - Epoch(train) [53][3080/3757] lr: 1.0000e-03 eta: 11:31:44 time: 0.2249 data_time: 0.0240 memory: 6108 grad_norm: 6.9982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4566 loss: 1.4566 2022/07/23 03:58:21 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 1.0000e-03 eta: 11:31:40 time: 0.2354 data_time: 0.0266 memory: 6108 grad_norm: 6.8624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5719 loss: 1.5719 2022/07/23 03:58:26 - mmengine - INFO - Epoch(train) [53][3120/3757] lr: 1.0000e-03 eta: 11:31:35 time: 0.2248 data_time: 0.0243 memory: 6108 grad_norm: 6.7352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2997 loss: 1.2997 2022/07/23 03:58:31 - mmengine - INFO - Epoch(train) [53][3140/3757] lr: 1.0000e-03 eta: 11:31:30 time: 0.2487 data_time: 0.0205 memory: 6108 grad_norm: 6.6640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6407 loss: 1.6407 2022/07/23 03:58:36 - mmengine - INFO - Epoch(train) [53][3160/3757] lr: 1.0000e-03 eta: 11:31:26 time: 0.2380 data_time: 0.0357 memory: 6108 grad_norm: 6.9213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2589 loss: 1.2589 2022/07/23 03:58:40 - mmengine - INFO - Epoch(train) [53][3180/3757] lr: 1.0000e-03 eta: 11:31:21 time: 0.2347 data_time: 0.0226 memory: 6108 grad_norm: 6.9219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6068 loss: 1.6068 2022/07/23 03:58:45 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 1.0000e-03 eta: 11:31:16 time: 0.2250 data_time: 0.0228 memory: 6108 grad_norm: 6.3955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/07/23 03:58:50 - mmengine - INFO - Epoch(train) [53][3220/3757] lr: 1.0000e-03 eta: 11:31:11 time: 0.2310 data_time: 0.0241 memory: 6108 grad_norm: 6.9512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3471 loss: 1.3471 2022/07/23 03:58:54 - mmengine - INFO - Epoch(train) [53][3240/3757] lr: 1.0000e-03 eta: 11:31:07 time: 0.2336 data_time: 0.0275 memory: 6108 grad_norm: 6.5908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4540 loss: 1.4540 2022/07/23 03:59:00 - mmengine - INFO - Epoch(train) [53][3260/3757] lr: 1.0000e-03 eta: 11:31:02 time: 0.2581 data_time: 0.0241 memory: 6108 grad_norm: 6.7560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5148 loss: 1.5148 2022/07/23 03:59:04 - mmengine - INFO - Epoch(train) [53][3280/3757] lr: 1.0000e-03 eta: 11:30:58 time: 0.2280 data_time: 0.0274 memory: 6108 grad_norm: 6.6375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3486 loss: 1.3486 2022/07/23 03:59:09 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 1.0000e-03 eta: 11:30:53 time: 0.2308 data_time: 0.0201 memory: 6108 grad_norm: 6.7811 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7127 loss: 1.7127 2022/07/23 03:59:13 - mmengine - INFO - Epoch(train) [53][3320/3757] lr: 1.0000e-03 eta: 11:30:48 time: 0.2266 data_time: 0.0251 memory: 6108 grad_norm: 6.9921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4369 loss: 1.4369 2022/07/23 03:59:18 - mmengine - INFO - Epoch(train) [53][3340/3757] lr: 1.0000e-03 eta: 11:30:43 time: 0.2372 data_time: 0.0201 memory: 6108 grad_norm: 6.7548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4617 loss: 1.4617 2022/07/23 03:59:23 - mmengine - INFO - Epoch(train) [53][3360/3757] lr: 1.0000e-03 eta: 11:30:39 time: 0.2291 data_time: 0.0232 memory: 6108 grad_norm: 6.6373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5128 loss: 1.5128 2022/07/23 03:59:27 - mmengine - INFO - Epoch(train) [53][3380/3757] lr: 1.0000e-03 eta: 11:30:34 time: 0.2237 data_time: 0.0191 memory: 6108 grad_norm: 6.7412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6752 loss: 1.6752 2022/07/23 03:59:32 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 1.0000e-03 eta: 11:30:29 time: 0.2298 data_time: 0.0231 memory: 6108 grad_norm: 7.0550 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7027 loss: 1.7027 2022/07/23 03:59:36 - mmengine - INFO - Epoch(train) [53][3420/3757] lr: 1.0000e-03 eta: 11:30:24 time: 0.2251 data_time: 0.0229 memory: 6108 grad_norm: 6.6674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4445 loss: 1.4445 2022/07/23 03:59:41 - mmengine - INFO - Epoch(train) [53][3440/3757] lr: 1.0000e-03 eta: 11:30:20 time: 0.2463 data_time: 0.0259 memory: 6108 grad_norm: 6.8629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3919 loss: 1.3919 2022/07/23 03:59:46 - mmengine - INFO - Epoch(train) [53][3460/3757] lr: 1.0000e-03 eta: 11:30:15 time: 0.2284 data_time: 0.0273 memory: 6108 grad_norm: 6.7052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3382 loss: 1.3382 2022/07/23 03:59:50 - mmengine - INFO - Epoch(train) [53][3480/3757] lr: 1.0000e-03 eta: 11:30:10 time: 0.2285 data_time: 0.0210 memory: 6108 grad_norm: 7.0048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6515 loss: 1.6515 2022/07/23 03:59:55 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 1.0000e-03 eta: 11:30:05 time: 0.2301 data_time: 0.0210 memory: 6108 grad_norm: 6.8188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6583 loss: 1.6583 2022/07/23 04:00:00 - mmengine - INFO - Epoch(train) [53][3520/3757] lr: 1.0000e-03 eta: 11:30:01 time: 0.2398 data_time: 0.0223 memory: 6108 grad_norm: 6.7173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3830 loss: 1.3830 2022/07/23 04:00:04 - mmengine - INFO - Epoch(train) [53][3540/3757] lr: 1.0000e-03 eta: 11:29:56 time: 0.2282 data_time: 0.0216 memory: 6108 grad_norm: 6.5404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/07/23 04:00:09 - mmengine - INFO - Epoch(train) [53][3560/3757] lr: 1.0000e-03 eta: 11:29:51 time: 0.2271 data_time: 0.0243 memory: 6108 grad_norm: 6.6202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7235 loss: 1.7235 2022/07/23 04:00:14 - mmengine - INFO - Epoch(train) [53][3580/3757] lr: 1.0000e-03 eta: 11:29:47 time: 0.2385 data_time: 0.0233 memory: 6108 grad_norm: 6.7232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5789 loss: 1.5789 2022/07/23 04:00:19 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 1.0000e-03 eta: 11:29:42 time: 0.2509 data_time: 0.0210 memory: 6108 grad_norm: 6.7882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5236 loss: 1.5236 2022/07/23 04:00:23 - mmengine - INFO - Epoch(train) [53][3620/3757] lr: 1.0000e-03 eta: 11:29:37 time: 0.2247 data_time: 0.0188 memory: 6108 grad_norm: 6.8616 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/07/23 04:00:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:00:28 - mmengine - INFO - Epoch(train) [53][3640/3757] lr: 1.0000e-03 eta: 11:29:33 time: 0.2341 data_time: 0.0208 memory: 6108 grad_norm: 6.7440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3990 loss: 1.3990 2022/07/23 04:00:33 - mmengine - INFO - Epoch(train) [53][3660/3757] lr: 1.0000e-03 eta: 11:29:28 time: 0.2281 data_time: 0.0188 memory: 6108 grad_norm: 7.0668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5083 loss: 1.5083 2022/07/23 04:00:37 - mmengine - INFO - Epoch(train) [53][3680/3757] lr: 1.0000e-03 eta: 11:29:23 time: 0.2279 data_time: 0.0188 memory: 6108 grad_norm: 6.8252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0850 loss: 1.0850 2022/07/23 04:00:42 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 1.0000e-03 eta: 11:29:19 time: 0.2433 data_time: 0.0245 memory: 6108 grad_norm: 6.8895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5603 loss: 1.5603 2022/07/23 04:00:47 - mmengine - INFO - Epoch(train) [53][3720/3757] lr: 1.0000e-03 eta: 11:29:14 time: 0.2245 data_time: 0.0265 memory: 6108 grad_norm: 6.6315 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3732 loss: 1.3732 2022/07/23 04:00:51 - mmengine - INFO - Epoch(train) [53][3740/3757] lr: 1.0000e-03 eta: 11:29:09 time: 0.2336 data_time: 0.0229 memory: 6108 grad_norm: 6.5888 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5089 loss: 1.5089 2022/07/23 04:00:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:00:55 - mmengine - INFO - Epoch(train) [53][3757/3757] lr: 1.0000e-03 eta: 11:29:09 time: 0.1959 data_time: 0.0177 memory: 6108 grad_norm: 6.8511 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6142 loss: 1.6142 2022/07/23 04:01:00 - mmengine - INFO - Epoch(val) [53][20/310] eta: 0:01:20 time: 0.2785 data_time: 0.1857 memory: 1428 2022/07/23 04:01:04 - mmengine - INFO - Epoch(val) [53][40/310] eta: 0:00:48 time: 0.1799 data_time: 0.1024 memory: 1428 2022/07/23 04:01:08 - mmengine - INFO - Epoch(val) [53][60/310] eta: 0:00:56 time: 0.2263 data_time: 0.1503 memory: 1428 2022/07/23 04:01:12 - mmengine - INFO - Epoch(val) [53][80/310] eta: 0:00:47 time: 0.2080 data_time: 0.1312 memory: 1428 2022/07/23 04:01:17 - mmengine - INFO - Epoch(val) [53][100/310] eta: 0:00:44 time: 0.2120 data_time: 0.1371 memory: 1428 2022/07/23 04:01:21 - mmengine - INFO - Epoch(val) [53][120/310] eta: 0:00:38 time: 0.2020 data_time: 0.1282 memory: 1428 2022/07/23 04:01:26 - mmengine - INFO - Epoch(val) [53][140/310] eta: 0:00:40 time: 0.2398 data_time: 0.1636 memory: 1428 2022/07/23 04:01:29 - mmengine - INFO - Epoch(val) [53][160/310] eta: 0:00:29 time: 0.1935 data_time: 0.1153 memory: 1428 2022/07/23 04:01:34 - mmengine - INFO - Epoch(val) [53][180/310] eta: 0:00:31 time: 0.2408 data_time: 0.1661 memory: 1428 2022/07/23 04:01:38 - mmengine - INFO - Epoch(val) [53][200/310] eta: 0:00:23 time: 0.2094 data_time: 0.1021 memory: 1428 2022/07/23 04:01:43 - mmengine - INFO - Epoch(val) [53][220/310] eta: 0:00:22 time: 0.2471 data_time: 0.1699 memory: 1428 2022/07/23 04:01:47 - mmengine - INFO - Epoch(val) [53][240/310] eta: 0:00:12 time: 0.1819 data_time: 0.1089 memory: 1428 2022/07/23 04:01:52 - mmengine - INFO - Epoch(val) [53][260/310] eta: 0:00:12 time: 0.2420 data_time: 0.1685 memory: 1428 2022/07/23 04:01:56 - mmengine - INFO - Epoch(val) [53][280/310] eta: 0:00:05 time: 0.1898 data_time: 0.1127 memory: 1428 2022/07/23 04:02:00 - mmengine - INFO - Epoch(val) [53][300/310] eta: 0:00:02 time: 0.2081 data_time: 0.1348 memory: 1428 2022/07/23 04:02:03 - mmengine - INFO - Epoch(val) [53][310/310] acc/top1: 0.6454 acc/top5: 0.8564 acc/mean1: 0.6453 2022/07/23 04:02:10 - mmengine - INFO - Epoch(train) [54][20/3757] lr: 1.0000e-03 eta: 11:28:59 time: 0.3397 data_time: 0.0838 memory: 6108 grad_norm: 6.8735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4324 loss: 1.4324 2022/07/23 04:02:15 - mmengine - INFO - Epoch(train) [54][40/3757] lr: 1.0000e-03 eta: 11:28:54 time: 0.2469 data_time: 0.0171 memory: 6108 grad_norm: 6.3442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1655 loss: 1.1655 2022/07/23 04:02:20 - mmengine - INFO - Epoch(train) [54][60/3757] lr: 1.0000e-03 eta: 11:28:50 time: 0.2310 data_time: 0.0270 memory: 6108 grad_norm: 6.9490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4615 loss: 1.4615 2022/07/23 04:02:24 - mmengine - INFO - Epoch(train) [54][80/3757] lr: 1.0000e-03 eta: 11:28:45 time: 0.2267 data_time: 0.0213 memory: 6108 grad_norm: 6.7190 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6547 loss: 1.6547 2022/07/23 04:02:29 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 1.0000e-03 eta: 11:28:40 time: 0.2443 data_time: 0.0216 memory: 6108 grad_norm: 6.8808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3610 loss: 1.3610 2022/07/23 04:02:34 - mmengine - INFO - Epoch(train) [54][120/3757] lr: 1.0000e-03 eta: 11:28:36 time: 0.2351 data_time: 0.0213 memory: 6108 grad_norm: 6.4404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3001 loss: 1.3001 2022/07/23 04:02:38 - mmengine - INFO - Epoch(train) [54][140/3757] lr: 1.0000e-03 eta: 11:28:31 time: 0.2358 data_time: 0.0239 memory: 6108 grad_norm: 6.7092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/07/23 04:02:43 - mmengine - INFO - Epoch(train) [54][160/3757] lr: 1.0000e-03 eta: 11:28:26 time: 0.2285 data_time: 0.0330 memory: 6108 grad_norm: 6.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3319 loss: 1.3319 2022/07/23 04:02:48 - mmengine - INFO - Epoch(train) [54][180/3757] lr: 1.0000e-03 eta: 11:28:21 time: 0.2234 data_time: 0.0250 memory: 6108 grad_norm: 6.6159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3353 loss: 1.3353 2022/07/23 04:02:52 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 1.0000e-03 eta: 11:28:16 time: 0.2271 data_time: 0.0227 memory: 6108 grad_norm: 6.9432 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6575 loss: 1.6575 2022/07/23 04:02:57 - mmengine - INFO - Epoch(train) [54][220/3757] lr: 1.0000e-03 eta: 11:28:12 time: 0.2274 data_time: 0.0247 memory: 6108 grad_norm: 6.8542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5142 loss: 1.5142 2022/07/23 04:03:02 - mmengine - INFO - Epoch(train) [54][240/3757] lr: 1.0000e-03 eta: 11:28:07 time: 0.2603 data_time: 0.0616 memory: 6108 grad_norm: 6.8134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3960 loss: 1.3960 2022/07/23 04:03:07 - mmengine - INFO - Epoch(train) [54][260/3757] lr: 1.0000e-03 eta: 11:28:03 time: 0.2435 data_time: 0.0422 memory: 6108 grad_norm: 6.8934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4351 loss: 1.4351 2022/07/23 04:03:11 - mmengine - INFO - Epoch(train) [54][280/3757] lr: 1.0000e-03 eta: 11:27:58 time: 0.2338 data_time: 0.0273 memory: 6108 grad_norm: 6.7798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/07/23 04:03:16 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 1.0000e-03 eta: 11:27:53 time: 0.2320 data_time: 0.0241 memory: 6108 grad_norm: 6.6100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2956 loss: 1.2956 2022/07/23 04:03:21 - mmengine - INFO - Epoch(train) [54][320/3757] lr: 1.0000e-03 eta: 11:27:49 time: 0.2282 data_time: 0.0216 memory: 6108 grad_norm: 6.6912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/07/23 04:03:25 - mmengine - INFO - Epoch(train) [54][340/3757] lr: 1.0000e-03 eta: 11:27:44 time: 0.2339 data_time: 0.0243 memory: 6108 grad_norm: 6.8219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4559 loss: 1.4559 2022/07/23 04:03:30 - mmengine - INFO - Epoch(train) [54][360/3757] lr: 1.0000e-03 eta: 11:27:40 time: 0.2433 data_time: 0.0296 memory: 6108 grad_norm: 6.5734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3289 loss: 1.3289 2022/07/23 04:03:35 - mmengine - INFO - Epoch(train) [54][380/3757] lr: 1.0000e-03 eta: 11:27:35 time: 0.2222 data_time: 0.0194 memory: 6108 grad_norm: 6.7013 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3527 loss: 1.3527 2022/07/23 04:03:40 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 1.0000e-03 eta: 11:27:30 time: 0.2381 data_time: 0.0271 memory: 6108 grad_norm: 6.8263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3392 loss: 1.3392 2022/07/23 04:03:44 - mmengine - INFO - Epoch(train) [54][420/3757] lr: 1.0000e-03 eta: 11:27:25 time: 0.2248 data_time: 0.0232 memory: 6108 grad_norm: 6.8149 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3933 loss: 1.3933 2022/07/23 04:03:49 - mmengine - INFO - Epoch(train) [54][440/3757] lr: 1.0000e-03 eta: 11:27:21 time: 0.2419 data_time: 0.0255 memory: 6108 grad_norm: 6.8557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3489 loss: 1.3489 2022/07/23 04:03:54 - mmengine - INFO - Epoch(train) [54][460/3757] lr: 1.0000e-03 eta: 11:27:16 time: 0.2314 data_time: 0.0235 memory: 6108 grad_norm: 6.9475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2814 loss: 1.2814 2022/07/23 04:03:58 - mmengine - INFO - Epoch(train) [54][480/3757] lr: 1.0000e-03 eta: 11:27:11 time: 0.2250 data_time: 0.0244 memory: 6108 grad_norm: 6.7477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3294 loss: 1.3294 2022/07/23 04:04:03 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 1.0000e-03 eta: 11:27:07 time: 0.2566 data_time: 0.0187 memory: 6108 grad_norm: 6.8330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/07/23 04:04:08 - mmengine - INFO - Epoch(train) [54][520/3757] lr: 1.0000e-03 eta: 11:27:02 time: 0.2311 data_time: 0.0314 memory: 6108 grad_norm: 6.7953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/07/23 04:04:13 - mmengine - INFO - Epoch(train) [54][540/3757] lr: 1.0000e-03 eta: 11:26:57 time: 0.2393 data_time: 0.0245 memory: 6108 grad_norm: 6.8598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6987 loss: 1.6987 2022/07/23 04:04:18 - mmengine - INFO - Epoch(train) [54][560/3757] lr: 1.0000e-03 eta: 11:26:53 time: 0.2478 data_time: 0.0229 memory: 6108 grad_norm: 6.7560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/07/23 04:04:23 - mmengine - INFO - Epoch(train) [54][580/3757] lr: 1.0000e-03 eta: 11:26:49 time: 0.2541 data_time: 0.0240 memory: 6108 grad_norm: 6.7590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4605 loss: 1.4605 2022/07/23 04:04:27 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 1.0000e-03 eta: 11:26:44 time: 0.2226 data_time: 0.0255 memory: 6108 grad_norm: 7.1547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6962 loss: 1.6962 2022/07/23 04:04:32 - mmengine - INFO - Epoch(train) [54][620/3757] lr: 1.0000e-03 eta: 11:26:39 time: 0.2502 data_time: 0.0235 memory: 6108 grad_norm: 6.6104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3137 loss: 1.3137 2022/07/23 04:04:37 - mmengine - INFO - Epoch(train) [54][640/3757] lr: 1.0000e-03 eta: 11:26:35 time: 0.2331 data_time: 0.0287 memory: 6108 grad_norm: 6.8028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/07/23 04:04:42 - mmengine - INFO - Epoch(train) [54][660/3757] lr: 1.0000e-03 eta: 11:26:30 time: 0.2366 data_time: 0.0246 memory: 6108 grad_norm: 6.7110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5309 loss: 1.5309 2022/07/23 04:04:46 - mmengine - INFO - Epoch(train) [54][680/3757] lr: 1.0000e-03 eta: 11:26:25 time: 0.2261 data_time: 0.0222 memory: 6108 grad_norm: 7.0573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4876 loss: 1.4876 2022/07/23 04:04:51 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 1.0000e-03 eta: 11:26:21 time: 0.2456 data_time: 0.0301 memory: 6108 grad_norm: 7.0211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3580 loss: 1.3580 2022/07/23 04:04:56 - mmengine - INFO - Epoch(train) [54][720/3757] lr: 1.0000e-03 eta: 11:26:16 time: 0.2295 data_time: 0.0238 memory: 6108 grad_norm: 6.9305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/07/23 04:05:00 - mmengine - INFO - Epoch(train) [54][740/3757] lr: 1.0000e-03 eta: 11:26:11 time: 0.2268 data_time: 0.0234 memory: 6108 grad_norm: 6.8747 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3920 loss: 1.3920 2022/07/23 04:05:05 - mmengine - INFO - Epoch(train) [54][760/3757] lr: 1.0000e-03 eta: 11:26:06 time: 0.2315 data_time: 0.0257 memory: 6108 grad_norm: 6.8842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6489 loss: 1.6489 2022/07/23 04:05:10 - mmengine - INFO - Epoch(train) [54][780/3757] lr: 1.0000e-03 eta: 11:26:02 time: 0.2402 data_time: 0.0207 memory: 6108 grad_norm: 6.8413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2833 loss: 1.2833 2022/07/23 04:05:14 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 1.0000e-03 eta: 11:25:57 time: 0.2286 data_time: 0.0218 memory: 6108 grad_norm: 6.8166 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/07/23 04:05:19 - mmengine - INFO - Epoch(train) [54][820/3757] lr: 1.0000e-03 eta: 11:25:52 time: 0.2200 data_time: 0.0202 memory: 6108 grad_norm: 6.9599 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4837 loss: 1.4837 2022/07/23 04:05:24 - mmengine - INFO - Epoch(train) [54][840/3757] lr: 1.0000e-03 eta: 11:25:48 time: 0.2609 data_time: 0.0586 memory: 6108 grad_norm: 6.8801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2468 loss: 1.2468 2022/07/23 04:05:29 - mmengine - INFO - Epoch(train) [54][860/3757] lr: 1.0000e-03 eta: 11:25:44 time: 0.2573 data_time: 0.0199 memory: 6108 grad_norm: 7.1015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5217 loss: 1.5217 2022/07/23 04:05:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:05:34 - mmengine - INFO - Epoch(train) [54][880/3757] lr: 1.0000e-03 eta: 11:25:39 time: 0.2227 data_time: 0.0216 memory: 6108 grad_norm: 6.7289 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2656 loss: 1.2656 2022/07/23 04:05:38 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 1.0000e-03 eta: 11:25:34 time: 0.2273 data_time: 0.0210 memory: 6108 grad_norm: 7.0902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/07/23 04:05:43 - mmengine - INFO - Epoch(train) [54][920/3757] lr: 1.0000e-03 eta: 11:25:29 time: 0.2290 data_time: 0.0233 memory: 6108 grad_norm: 7.0457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3260 loss: 1.3260 2022/07/23 04:05:47 - mmengine - INFO - Epoch(train) [54][940/3757] lr: 1.0000e-03 eta: 11:25:24 time: 0.2295 data_time: 0.0255 memory: 6108 grad_norm: 6.8575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2843 loss: 1.2843 2022/07/23 04:05:52 - mmengine - INFO - Epoch(train) [54][960/3757] lr: 1.0000e-03 eta: 11:25:20 time: 0.2477 data_time: 0.0217 memory: 6108 grad_norm: 6.8681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4205 loss: 1.4205 2022/07/23 04:05:57 - mmengine - INFO - Epoch(train) [54][980/3757] lr: 1.0000e-03 eta: 11:25:15 time: 0.2295 data_time: 0.0238 memory: 6108 grad_norm: 6.5912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/07/23 04:06:02 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 1.0000e-03 eta: 11:25:10 time: 0.2228 data_time: 0.0270 memory: 6108 grad_norm: 7.0433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/07/23 04:06:06 - mmengine - INFO - Epoch(train) [54][1020/3757] lr: 1.0000e-03 eta: 11:25:06 time: 0.2465 data_time: 0.0190 memory: 6108 grad_norm: 6.7606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3546 loss: 1.3546 2022/07/23 04:06:11 - mmengine - INFO - Epoch(train) [54][1040/3757] lr: 1.0000e-03 eta: 11:25:01 time: 0.2351 data_time: 0.0203 memory: 6108 grad_norm: 6.6263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1648 loss: 1.1648 2022/07/23 04:06:16 - mmengine - INFO - Epoch(train) [54][1060/3757] lr: 1.0000e-03 eta: 11:24:56 time: 0.2326 data_time: 0.0220 memory: 6108 grad_norm: 6.5115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1952 loss: 1.1952 2022/07/23 04:06:20 - mmengine - INFO - Epoch(train) [54][1080/3757] lr: 1.0000e-03 eta: 11:24:52 time: 0.2258 data_time: 0.0264 memory: 6108 grad_norm: 7.0440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5206 loss: 1.5206 2022/07/23 04:06:25 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 1.0000e-03 eta: 11:24:47 time: 0.2270 data_time: 0.0191 memory: 6108 grad_norm: 6.9073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2441 loss: 1.2441 2022/07/23 04:06:30 - mmengine - INFO - Epoch(train) [54][1120/3757] lr: 1.0000e-03 eta: 11:24:42 time: 0.2528 data_time: 0.0317 memory: 6108 grad_norm: 6.9060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5165 loss: 1.5165 2022/07/23 04:06:35 - mmengine - INFO - Epoch(train) [54][1140/3757] lr: 1.0000e-03 eta: 11:24:38 time: 0.2268 data_time: 0.0245 memory: 6108 grad_norm: 6.8546 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4499 loss: 1.4499 2022/07/23 04:06:39 - mmengine - INFO - Epoch(train) [54][1160/3757] lr: 1.0000e-03 eta: 11:24:33 time: 0.2423 data_time: 0.0360 memory: 6108 grad_norm: 6.6485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4539 loss: 1.4539 2022/07/23 04:06:44 - mmengine - INFO - Epoch(train) [54][1180/3757] lr: 1.0000e-03 eta: 11:24:28 time: 0.2279 data_time: 0.0243 memory: 6108 grad_norm: 7.0185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2119 loss: 1.2119 2022/07/23 04:06:49 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 1.0000e-03 eta: 11:24:24 time: 0.2461 data_time: 0.0216 memory: 6108 grad_norm: 6.7696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1256 loss: 1.1256 2022/07/23 04:06:53 - mmengine - INFO - Epoch(train) [54][1220/3757] lr: 1.0000e-03 eta: 11:24:19 time: 0.2209 data_time: 0.0181 memory: 6108 grad_norm: 6.7193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0902 loss: 1.0902 2022/07/23 04:06:58 - mmengine - INFO - Epoch(train) [54][1240/3757] lr: 1.0000e-03 eta: 11:24:14 time: 0.2351 data_time: 0.0315 memory: 6108 grad_norm: 6.8035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3299 loss: 1.3299 2022/07/23 04:07:03 - mmengine - INFO - Epoch(train) [54][1260/3757] lr: 1.0000e-03 eta: 11:24:10 time: 0.2306 data_time: 0.0192 memory: 6108 grad_norm: 6.8828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4641 loss: 1.4641 2022/07/23 04:07:07 - mmengine - INFO - Epoch(train) [54][1280/3757] lr: 1.0000e-03 eta: 11:24:05 time: 0.2274 data_time: 0.0226 memory: 6108 grad_norm: 6.8501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3915 loss: 1.3915 2022/07/23 04:07:12 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 1.0000e-03 eta: 11:24:00 time: 0.2319 data_time: 0.0210 memory: 6108 grad_norm: 7.0495 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4352 loss: 1.4352 2022/07/23 04:07:17 - mmengine - INFO - Epoch(train) [54][1320/3757] lr: 1.0000e-03 eta: 11:23:55 time: 0.2265 data_time: 0.0229 memory: 6108 grad_norm: 6.8345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3701 loss: 1.3701 2022/07/23 04:07:21 - mmengine - INFO - Epoch(train) [54][1340/3757] lr: 1.0000e-03 eta: 11:23:50 time: 0.2291 data_time: 0.0199 memory: 6108 grad_norm: 6.8923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7288 loss: 1.7288 2022/07/23 04:07:26 - mmengine - INFO - Epoch(train) [54][1360/3757] lr: 1.0000e-03 eta: 11:23:46 time: 0.2258 data_time: 0.0250 memory: 6108 grad_norm: 6.6979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/07/23 04:07:31 - mmengine - INFO - Epoch(train) [54][1380/3757] lr: 1.0000e-03 eta: 11:23:41 time: 0.2489 data_time: 0.0208 memory: 6108 grad_norm: 6.8620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/07/23 04:07:35 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 1.0000e-03 eta: 11:23:36 time: 0.2328 data_time: 0.0238 memory: 6108 grad_norm: 6.5062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2222 loss: 1.2222 2022/07/23 04:07:40 - mmengine - INFO - Epoch(train) [54][1420/3757] lr: 1.0000e-03 eta: 11:23:32 time: 0.2318 data_time: 0.0326 memory: 6108 grad_norm: 6.9681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4708 loss: 1.4708 2022/07/23 04:07:45 - mmengine - INFO - Epoch(train) [54][1440/3757] lr: 1.0000e-03 eta: 11:23:27 time: 0.2409 data_time: 0.0216 memory: 6108 grad_norm: 6.7268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/07/23 04:07:50 - mmengine - INFO - Epoch(train) [54][1460/3757] lr: 1.0000e-03 eta: 11:23:23 time: 0.2546 data_time: 0.0182 memory: 6108 grad_norm: 6.8499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5821 loss: 1.5821 2022/07/23 04:07:54 - mmengine - INFO - Epoch(train) [54][1480/3757] lr: 1.0000e-03 eta: 11:23:18 time: 0.2238 data_time: 0.0218 memory: 6108 grad_norm: 7.0828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5452 loss: 1.5452 2022/07/23 04:07:59 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 1.0000e-03 eta: 11:23:13 time: 0.2235 data_time: 0.0233 memory: 6108 grad_norm: 6.8615 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5109 loss: 1.5109 2022/07/23 04:08:04 - mmengine - INFO - Epoch(train) [54][1520/3757] lr: 1.0000e-03 eta: 11:23:08 time: 0.2273 data_time: 0.0245 memory: 6108 grad_norm: 6.9043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2827 loss: 1.2827 2022/07/23 04:08:08 - mmengine - INFO - Epoch(train) [54][1540/3757] lr: 1.0000e-03 eta: 11:23:04 time: 0.2297 data_time: 0.0229 memory: 6108 grad_norm: 7.0032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5201 loss: 1.5201 2022/07/23 04:08:13 - mmengine - INFO - Epoch(train) [54][1560/3757] lr: 1.0000e-03 eta: 11:22:59 time: 0.2323 data_time: 0.0217 memory: 6108 grad_norm: 7.3659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7688 loss: 1.7688 2022/07/23 04:08:17 - mmengine - INFO - Epoch(train) [54][1580/3757] lr: 1.0000e-03 eta: 11:22:54 time: 0.2329 data_time: 0.0234 memory: 6108 grad_norm: 7.1237 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5140 loss: 1.5140 2022/07/23 04:08:22 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 1.0000e-03 eta: 11:22:50 time: 0.2393 data_time: 0.0207 memory: 6108 grad_norm: 6.8420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5634 loss: 1.5634 2022/07/23 04:08:27 - mmengine - INFO - Epoch(train) [54][1620/3757] lr: 1.0000e-03 eta: 11:22:45 time: 0.2473 data_time: 0.0221 memory: 6108 grad_norm: 7.1041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3043 loss: 1.3043 2022/07/23 04:08:32 - mmengine - INFO - Epoch(train) [54][1640/3757] lr: 1.0000e-03 eta: 11:22:40 time: 0.2348 data_time: 0.0210 memory: 6108 grad_norm: 6.6730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4316 loss: 1.4316 2022/07/23 04:08:37 - mmengine - INFO - Epoch(train) [54][1660/3757] lr: 1.0000e-03 eta: 11:22:36 time: 0.2257 data_time: 0.0227 memory: 6108 grad_norm: 6.8018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5491 loss: 1.5491 2022/07/23 04:08:41 - mmengine - INFO - Epoch(train) [54][1680/3757] lr: 1.0000e-03 eta: 11:22:31 time: 0.2362 data_time: 0.0214 memory: 6108 grad_norm: 6.8169 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5394 loss: 1.5394 2022/07/23 04:08:46 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 1.0000e-03 eta: 11:22:26 time: 0.2459 data_time: 0.0198 memory: 6108 grad_norm: 6.9703 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5245 loss: 1.5245 2022/07/23 04:08:51 - mmengine - INFO - Epoch(train) [54][1720/3757] lr: 1.0000e-03 eta: 11:22:22 time: 0.2346 data_time: 0.0307 memory: 6108 grad_norm: 6.7964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2653 loss: 1.2653 2022/07/23 04:08:56 - mmengine - INFO - Epoch(train) [54][1740/3757] lr: 1.0000e-03 eta: 11:22:17 time: 0.2361 data_time: 0.0209 memory: 6108 grad_norm: 6.9022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/07/23 04:09:00 - mmengine - INFO - Epoch(train) [54][1760/3757] lr: 1.0000e-03 eta: 11:22:12 time: 0.2291 data_time: 0.0183 memory: 6108 grad_norm: 6.9770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5217 loss: 1.5217 2022/07/23 04:09:05 - mmengine - INFO - Epoch(train) [54][1780/3757] lr: 1.0000e-03 eta: 11:22:08 time: 0.2306 data_time: 0.0252 memory: 6108 grad_norm: 6.6591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/23 04:09:10 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 1.0000e-03 eta: 11:22:03 time: 0.2331 data_time: 0.0215 memory: 6108 grad_norm: 6.5021 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2457 loss: 1.2457 2022/07/23 04:09:14 - mmengine - INFO - Epoch(train) [54][1820/3757] lr: 1.0000e-03 eta: 11:21:58 time: 0.2377 data_time: 0.0227 memory: 6108 grad_norm: 7.1243 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3027 loss: 1.3027 2022/07/23 04:09:19 - mmengine - INFO - Epoch(train) [54][1840/3757] lr: 1.0000e-03 eta: 11:21:54 time: 0.2280 data_time: 0.0269 memory: 6108 grad_norm: 6.4892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5937 loss: 1.5937 2022/07/23 04:09:24 - mmengine - INFO - Epoch(train) [54][1860/3757] lr: 1.0000e-03 eta: 11:21:49 time: 0.2279 data_time: 0.0220 memory: 6108 grad_norm: 6.9319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/07/23 04:09:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:09:28 - mmengine - INFO - Epoch(train) [54][1880/3757] lr: 1.0000e-03 eta: 11:21:44 time: 0.2456 data_time: 0.0208 memory: 6108 grad_norm: 6.9308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5177 loss: 1.5177 2022/07/23 04:09:33 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 1.0000e-03 eta: 11:21:39 time: 0.2270 data_time: 0.0243 memory: 6108 grad_norm: 6.9384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4811 loss: 1.4811 2022/07/23 04:09:38 - mmengine - INFO - Epoch(train) [54][1920/3757] lr: 1.0000e-03 eta: 11:21:35 time: 0.2288 data_time: 0.0212 memory: 6108 grad_norm: 6.7283 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6476 loss: 1.6476 2022/07/23 04:09:43 - mmengine - INFO - Epoch(train) [54][1940/3757] lr: 1.0000e-03 eta: 11:21:30 time: 0.2432 data_time: 0.0235 memory: 6108 grad_norm: 7.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6071 loss: 1.6071 2022/07/23 04:09:47 - mmengine - INFO - Epoch(train) [54][1960/3757] lr: 1.0000e-03 eta: 11:21:25 time: 0.2252 data_time: 0.0236 memory: 6108 grad_norm: 6.9724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3616 loss: 1.3616 2022/07/23 04:09:52 - mmengine - INFO - Epoch(train) [54][1980/3757] lr: 1.0000e-03 eta: 11:21:21 time: 0.2409 data_time: 0.0228 memory: 6108 grad_norm: 6.8346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3058 loss: 1.3058 2022/07/23 04:09:57 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 1.0000e-03 eta: 11:21:16 time: 0.2333 data_time: 0.0186 memory: 6108 grad_norm: 7.0539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/07/23 04:10:02 - mmengine - INFO - Epoch(train) [54][2020/3757] lr: 1.0000e-03 eta: 11:21:12 time: 0.2485 data_time: 0.0227 memory: 6108 grad_norm: 7.2588 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5770 loss: 1.5770 2022/07/23 04:10:06 - mmengine - INFO - Epoch(train) [54][2040/3757] lr: 1.0000e-03 eta: 11:21:07 time: 0.2358 data_time: 0.0338 memory: 6108 grad_norm: 6.7144 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/07/23 04:10:11 - mmengine - INFO - Epoch(train) [54][2060/3757] lr: 1.0000e-03 eta: 11:21:02 time: 0.2337 data_time: 0.0272 memory: 6108 grad_norm: 6.6231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5631 loss: 1.5631 2022/07/23 04:10:16 - mmengine - INFO - Epoch(train) [54][2080/3757] lr: 1.0000e-03 eta: 11:20:57 time: 0.2302 data_time: 0.0277 memory: 6108 grad_norm: 6.9083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4546 loss: 1.4546 2022/07/23 04:10:20 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 1.0000e-03 eta: 11:20:53 time: 0.2330 data_time: 0.0231 memory: 6108 grad_norm: 6.9383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2978 loss: 1.2978 2022/07/23 04:10:25 - mmengine - INFO - Epoch(train) [54][2120/3757] lr: 1.0000e-03 eta: 11:20:48 time: 0.2259 data_time: 0.0216 memory: 6108 grad_norm: 6.7641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/07/23 04:10:30 - mmengine - INFO - Epoch(train) [54][2140/3757] lr: 1.0000e-03 eta: 11:20:43 time: 0.2330 data_time: 0.0239 memory: 6108 grad_norm: 6.5282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2267 loss: 1.2267 2022/07/23 04:10:35 - mmengine - INFO - Epoch(train) [54][2160/3757] lr: 1.0000e-03 eta: 11:20:39 time: 0.2507 data_time: 0.0204 memory: 6108 grad_norm: 6.7121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3239 loss: 1.3239 2022/07/23 04:10:39 - mmengine - INFO - Epoch(train) [54][2180/3757] lr: 1.0000e-03 eta: 11:20:34 time: 0.2320 data_time: 0.0249 memory: 6108 grad_norm: 7.0292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/07/23 04:10:44 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 1.0000e-03 eta: 11:20:29 time: 0.2352 data_time: 0.0280 memory: 6108 grad_norm: 6.6080 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1923 loss: 1.1923 2022/07/23 04:10:49 - mmengine - INFO - Epoch(train) [54][2220/3757] lr: 1.0000e-03 eta: 11:20:25 time: 0.2345 data_time: 0.0238 memory: 6108 grad_norm: 6.8680 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4813 loss: 1.4813 2022/07/23 04:10:53 - mmengine - INFO - Epoch(train) [54][2240/3757] lr: 1.0000e-03 eta: 11:20:20 time: 0.2317 data_time: 0.0181 memory: 6108 grad_norm: 6.8811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5537 loss: 1.5537 2022/07/23 04:10:58 - mmengine - INFO - Epoch(train) [54][2260/3757] lr: 1.0000e-03 eta: 11:20:15 time: 0.2269 data_time: 0.0274 memory: 6108 grad_norm: 7.1594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7060 loss: 1.7060 2022/07/23 04:11:03 - mmengine - INFO - Epoch(train) [54][2280/3757] lr: 1.0000e-03 eta: 11:20:11 time: 0.2446 data_time: 0.0255 memory: 6108 grad_norm: 6.9349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5173 loss: 1.5173 2022/07/23 04:11:07 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 1.0000e-03 eta: 11:20:06 time: 0.2278 data_time: 0.0262 memory: 6108 grad_norm: 6.9258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2999 loss: 1.2999 2022/07/23 04:11:12 - mmengine - INFO - Epoch(train) [54][2320/3757] lr: 1.0000e-03 eta: 11:20:01 time: 0.2458 data_time: 0.0201 memory: 6108 grad_norm: 6.7576 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.1735 loss: 1.1735 2022/07/23 04:11:17 - mmengine - INFO - Epoch(train) [54][2340/3757] lr: 1.0000e-03 eta: 11:19:57 time: 0.2262 data_time: 0.0272 memory: 6108 grad_norm: 7.0141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/07/23 04:11:21 - mmengine - INFO - Epoch(train) [54][2360/3757] lr: 1.0000e-03 eta: 11:19:52 time: 0.2269 data_time: 0.0255 memory: 6108 grad_norm: 6.7569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5173 loss: 1.5173 2022/07/23 04:11:26 - mmengine - INFO - Epoch(train) [54][2380/3757] lr: 1.0000e-03 eta: 11:19:47 time: 0.2376 data_time: 0.0249 memory: 6108 grad_norm: 7.0217 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6788 loss: 1.6788 2022/07/23 04:11:31 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 1.0000e-03 eta: 11:19:42 time: 0.2289 data_time: 0.0216 memory: 6108 grad_norm: 6.9529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4991 loss: 1.4991 2022/07/23 04:11:35 - mmengine - INFO - Epoch(train) [54][2420/3757] lr: 1.0000e-03 eta: 11:19:38 time: 0.2264 data_time: 0.0210 memory: 6108 grad_norm: 6.8865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3491 loss: 1.3491 2022/07/23 04:11:40 - mmengine - INFO - Epoch(train) [54][2440/3757] lr: 1.0000e-03 eta: 11:19:33 time: 0.2499 data_time: 0.0226 memory: 6108 grad_norm: 6.6642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3033 loss: 1.3033 2022/07/23 04:11:45 - mmengine - INFO - Epoch(train) [54][2460/3757] lr: 1.0000e-03 eta: 11:19:29 time: 0.2376 data_time: 0.0334 memory: 6108 grad_norm: 6.6584 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4451 loss: 1.4451 2022/07/23 04:11:50 - mmengine - INFO - Epoch(train) [54][2480/3757] lr: 1.0000e-03 eta: 11:19:24 time: 0.2261 data_time: 0.0182 memory: 6108 grad_norm: 7.2313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3620 loss: 1.3620 2022/07/23 04:11:54 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 1.0000e-03 eta: 11:19:19 time: 0.2323 data_time: 0.0246 memory: 6108 grad_norm: 6.8179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4110 loss: 1.4110 2022/07/23 04:11:59 - mmengine - INFO - Epoch(train) [54][2520/3757] lr: 1.0000e-03 eta: 11:19:15 time: 0.2497 data_time: 0.0222 memory: 6108 grad_norm: 7.1835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7184 loss: 1.7184 2022/07/23 04:12:04 - mmengine - INFO - Epoch(train) [54][2540/3757] lr: 1.0000e-03 eta: 11:19:10 time: 0.2266 data_time: 0.0271 memory: 6108 grad_norm: 6.8905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/07/23 04:12:08 - mmengine - INFO - Epoch(train) [54][2560/3757] lr: 1.0000e-03 eta: 11:19:05 time: 0.2293 data_time: 0.0251 memory: 6108 grad_norm: 6.9020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3716 loss: 1.3716 2022/07/23 04:12:13 - mmengine - INFO - Epoch(train) [54][2580/3757] lr: 1.0000e-03 eta: 11:19:00 time: 0.2259 data_time: 0.0187 memory: 6108 grad_norm: 6.7717 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/07/23 04:12:17 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 1.0000e-03 eta: 11:18:55 time: 0.2239 data_time: 0.0208 memory: 6108 grad_norm: 6.9137 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4155 loss: 1.4155 2022/07/23 04:12:22 - mmengine - INFO - Epoch(train) [54][2620/3757] lr: 1.0000e-03 eta: 11:18:51 time: 0.2425 data_time: 0.0257 memory: 6108 grad_norm: 7.1755 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/07/23 04:12:27 - mmengine - INFO - Epoch(train) [54][2640/3757] lr: 1.0000e-03 eta: 11:18:46 time: 0.2337 data_time: 0.0258 memory: 6108 grad_norm: 7.0243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4701 loss: 1.4701 2022/07/23 04:12:32 - mmengine - INFO - Epoch(train) [54][2660/3757] lr: 1.0000e-03 eta: 11:18:41 time: 0.2342 data_time: 0.0258 memory: 6108 grad_norm: 6.9996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3308 loss: 1.3308 2022/07/23 04:12:36 - mmengine - INFO - Epoch(train) [54][2680/3757] lr: 1.0000e-03 eta: 11:18:37 time: 0.2355 data_time: 0.0275 memory: 6108 grad_norm: 6.8570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/07/23 04:12:41 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 1.0000e-03 eta: 11:18:32 time: 0.2382 data_time: 0.0204 memory: 6108 grad_norm: 7.0530 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5822 loss: 1.5822 2022/07/23 04:12:46 - mmengine - INFO - Epoch(train) [54][2720/3757] lr: 1.0000e-03 eta: 11:18:28 time: 0.2368 data_time: 0.0234 memory: 6108 grad_norm: 7.0312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/07/23 04:12:51 - mmengine - INFO - Epoch(train) [54][2740/3757] lr: 1.0000e-03 eta: 11:18:23 time: 0.2262 data_time: 0.0251 memory: 6108 grad_norm: 6.8975 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4939 loss: 1.4939 2022/07/23 04:12:55 - mmengine - INFO - Epoch(train) [54][2760/3757] lr: 1.0000e-03 eta: 11:18:18 time: 0.2258 data_time: 0.0222 memory: 6108 grad_norm: 6.8147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/07/23 04:13:00 - mmengine - INFO - Epoch(train) [54][2780/3757] lr: 1.0000e-03 eta: 11:18:13 time: 0.2367 data_time: 0.0245 memory: 6108 grad_norm: 6.5449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4379 loss: 1.4379 2022/07/23 04:13:04 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 1.0000e-03 eta: 11:18:09 time: 0.2287 data_time: 0.0236 memory: 6108 grad_norm: 6.8446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3988 loss: 1.3988 2022/07/23 04:13:09 - mmengine - INFO - Epoch(train) [54][2820/3757] lr: 1.0000e-03 eta: 11:18:04 time: 0.2233 data_time: 0.0222 memory: 6108 grad_norm: 6.6506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5368 loss: 1.5368 2022/07/23 04:13:14 - mmengine - INFO - Epoch(train) [54][2840/3757] lr: 1.0000e-03 eta: 11:17:59 time: 0.2273 data_time: 0.0248 memory: 6108 grad_norm: 6.8695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3515 loss: 1.3515 2022/07/23 04:13:18 - mmengine - INFO - Epoch(train) [54][2860/3757] lr: 1.0000e-03 eta: 11:17:54 time: 0.2314 data_time: 0.0219 memory: 6108 grad_norm: 7.1137 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2910 loss: 1.2910 2022/07/23 04:13:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:13:23 - mmengine - INFO - Epoch(train) [54][2880/3757] lr: 1.0000e-03 eta: 11:17:50 time: 0.2457 data_time: 0.0311 memory: 6108 grad_norm: 6.7408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3377 loss: 1.3377 2022/07/23 04:13:28 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 1.0000e-03 eta: 11:17:45 time: 0.2371 data_time: 0.0239 memory: 6108 grad_norm: 6.7125 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3636 loss: 1.3636 2022/07/23 04:13:32 - mmengine - INFO - Epoch(train) [54][2920/3757] lr: 1.0000e-03 eta: 11:17:40 time: 0.2285 data_time: 0.0276 memory: 6108 grad_norm: 6.9699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3009 loss: 1.3009 2022/07/23 04:13:37 - mmengine - INFO - Epoch(train) [54][2940/3757] lr: 1.0000e-03 eta: 11:17:36 time: 0.2425 data_time: 0.0243 memory: 6108 grad_norm: 6.8457 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3244 loss: 1.3244 2022/07/23 04:13:42 - mmengine - INFO - Epoch(train) [54][2960/3757] lr: 1.0000e-03 eta: 11:17:31 time: 0.2313 data_time: 0.0213 memory: 6108 grad_norm: 7.2616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5185 loss: 1.5185 2022/07/23 04:13:47 - mmengine - INFO - Epoch(train) [54][2980/3757] lr: 1.0000e-03 eta: 11:17:26 time: 0.2405 data_time: 0.0236 memory: 6108 grad_norm: 6.8747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/07/23 04:13:52 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 1.0000e-03 eta: 11:17:22 time: 0.2404 data_time: 0.0224 memory: 6108 grad_norm: 6.7463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/07/23 04:13:56 - mmengine - INFO - Epoch(train) [54][3020/3757] lr: 1.0000e-03 eta: 11:17:17 time: 0.2262 data_time: 0.0217 memory: 6108 grad_norm: 6.9747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3355 loss: 1.3355 2022/07/23 04:14:01 - mmengine - INFO - Epoch(train) [54][3040/3757] lr: 1.0000e-03 eta: 11:17:12 time: 0.2379 data_time: 0.0308 memory: 6108 grad_norm: 6.6738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/07/23 04:14:05 - mmengine - INFO - Epoch(train) [54][3060/3757] lr: 1.0000e-03 eta: 11:17:08 time: 0.2262 data_time: 0.0297 memory: 6108 grad_norm: 6.9773 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4365 loss: 1.4365 2022/07/23 04:14:10 - mmengine - INFO - Epoch(train) [54][3080/3757] lr: 1.0000e-03 eta: 11:17:03 time: 0.2294 data_time: 0.0270 memory: 6108 grad_norm: 6.8648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/07/23 04:14:15 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 1.0000e-03 eta: 11:16:58 time: 0.2287 data_time: 0.0231 memory: 6108 grad_norm: 7.0397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5436 loss: 1.5436 2022/07/23 04:14:20 - mmengine - INFO - Epoch(train) [54][3120/3757] lr: 1.0000e-03 eta: 11:16:54 time: 0.2664 data_time: 0.0247 memory: 6108 grad_norm: 7.1603 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7685 loss: 1.7685 2022/07/23 04:14:24 - mmengine - INFO - Epoch(train) [54][3140/3757] lr: 1.0000e-03 eta: 11:16:49 time: 0.2221 data_time: 0.0195 memory: 6108 grad_norm: 7.0563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7414 loss: 1.7414 2022/07/23 04:14:30 - mmengine - INFO - Epoch(train) [54][3160/3757] lr: 1.0000e-03 eta: 11:16:45 time: 0.2608 data_time: 0.0272 memory: 6108 grad_norm: 6.7193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3892 loss: 1.3892 2022/07/23 04:14:34 - mmengine - INFO - Epoch(train) [54][3180/3757] lr: 1.0000e-03 eta: 11:16:40 time: 0.2236 data_time: 0.0234 memory: 6108 grad_norm: 7.1407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2569 loss: 1.2569 2022/07/23 04:14:39 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 1.0000e-03 eta: 11:16:35 time: 0.2261 data_time: 0.0245 memory: 6108 grad_norm: 6.8061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4196 loss: 1.4196 2022/07/23 04:14:44 - mmengine - INFO - Epoch(train) [54][3220/3757] lr: 1.0000e-03 eta: 11:16:31 time: 0.2473 data_time: 0.0266 memory: 6108 grad_norm: 7.0250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3707 loss: 1.3707 2022/07/23 04:14:48 - mmengine - INFO - Epoch(train) [54][3240/3757] lr: 1.0000e-03 eta: 11:16:26 time: 0.2273 data_time: 0.0194 memory: 6108 grad_norm: 6.9699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5203 loss: 1.5203 2022/07/23 04:14:53 - mmengine - INFO - Epoch(train) [54][3260/3757] lr: 1.0000e-03 eta: 11:16:21 time: 0.2251 data_time: 0.0243 memory: 6108 grad_norm: 6.6394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3620 loss: 1.3620 2022/07/23 04:14:57 - mmengine - INFO - Epoch(train) [54][3280/3757] lr: 1.0000e-03 eta: 11:16:16 time: 0.2298 data_time: 0.0253 memory: 6108 grad_norm: 6.7941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/07/23 04:15:02 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 1.0000e-03 eta: 11:16:12 time: 0.2477 data_time: 0.0274 memory: 6108 grad_norm: 6.7246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0871 loss: 1.0871 2022/07/23 04:15:07 - mmengine - INFO - Epoch(train) [54][3320/3757] lr: 1.0000e-03 eta: 11:16:07 time: 0.2316 data_time: 0.0256 memory: 6108 grad_norm: 7.0096 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4712 loss: 1.4712 2022/07/23 04:15:12 - mmengine - INFO - Epoch(train) [54][3340/3757] lr: 1.0000e-03 eta: 11:16:02 time: 0.2258 data_time: 0.0266 memory: 6108 grad_norm: 6.8516 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6927 loss: 1.6927 2022/07/23 04:15:16 - mmengine - INFO - Epoch(train) [54][3360/3757] lr: 1.0000e-03 eta: 11:15:58 time: 0.2405 data_time: 0.0240 memory: 6108 grad_norm: 6.6309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3248 loss: 1.3248 2022/07/23 04:15:22 - mmengine - INFO - Epoch(train) [54][3380/3757] lr: 1.0000e-03 eta: 11:15:53 time: 0.2567 data_time: 0.0414 memory: 6108 grad_norm: 6.8261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1449 loss: 1.1449 2022/07/23 04:15:26 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 1.0000e-03 eta: 11:15:49 time: 0.2262 data_time: 0.0258 memory: 6108 grad_norm: 6.9224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3613 loss: 1.3613 2022/07/23 04:15:31 - mmengine - INFO - Epoch(train) [54][3420/3757] lr: 1.0000e-03 eta: 11:15:44 time: 0.2240 data_time: 0.0246 memory: 6108 grad_norm: 6.8384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5261 loss: 1.5261 2022/07/23 04:15:35 - mmengine - INFO - Epoch(train) [54][3440/3757] lr: 1.0000e-03 eta: 11:15:39 time: 0.2296 data_time: 0.0245 memory: 6108 grad_norm: 6.8272 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2820 loss: 1.2820 2022/07/23 04:15:40 - mmengine - INFO - Epoch(train) [54][3460/3757] lr: 1.0000e-03 eta: 11:15:35 time: 0.2526 data_time: 0.0287 memory: 6108 grad_norm: 6.9384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5453 loss: 1.5453 2022/07/23 04:15:45 - mmengine - INFO - Epoch(train) [54][3480/3757] lr: 1.0000e-03 eta: 11:15:30 time: 0.2240 data_time: 0.0212 memory: 6108 grad_norm: 6.8983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4637 loss: 1.4637 2022/07/23 04:15:49 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 1.0000e-03 eta: 11:15:25 time: 0.2296 data_time: 0.0253 memory: 6108 grad_norm: 6.8836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/07/23 04:15:54 - mmengine - INFO - Epoch(train) [54][3520/3757] lr: 1.0000e-03 eta: 11:15:20 time: 0.2256 data_time: 0.0229 memory: 6108 grad_norm: 6.7460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4292 loss: 1.4292 2022/07/23 04:15:58 - mmengine - INFO - Epoch(train) [54][3540/3757] lr: 1.0000e-03 eta: 11:15:15 time: 0.2239 data_time: 0.0197 memory: 6108 grad_norm: 6.8118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4488 loss: 1.4488 2022/07/23 04:16:04 - mmengine - INFO - Epoch(train) [54][3560/3757] lr: 1.0000e-03 eta: 11:15:11 time: 0.2596 data_time: 0.0256 memory: 6108 grad_norm: 6.9952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3861 loss: 1.3861 2022/07/23 04:16:08 - mmengine - INFO - Epoch(train) [54][3580/3757] lr: 1.0000e-03 eta: 11:15:06 time: 0.2316 data_time: 0.0256 memory: 6108 grad_norm: 6.7996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/07/23 04:16:13 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 1.0000e-03 eta: 11:15:01 time: 0.2271 data_time: 0.0195 memory: 6108 grad_norm: 6.7908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4539 loss: 1.4539 2022/07/23 04:16:17 - mmengine - INFO - Epoch(train) [54][3620/3757] lr: 1.0000e-03 eta: 11:14:57 time: 0.2311 data_time: 0.0229 memory: 6108 grad_norm: 6.5821 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/07/23 04:16:22 - mmengine - INFO - Epoch(train) [54][3640/3757] lr: 1.0000e-03 eta: 11:14:52 time: 0.2356 data_time: 0.0224 memory: 6108 grad_norm: 7.0407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5770 loss: 1.5770 2022/07/23 04:16:27 - mmengine - INFO - Epoch(train) [54][3660/3757] lr: 1.0000e-03 eta: 11:14:48 time: 0.2412 data_time: 0.0199 memory: 6108 grad_norm: 6.6815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/07/23 04:16:32 - mmengine - INFO - Epoch(train) [54][3680/3757] lr: 1.0000e-03 eta: 11:14:43 time: 0.2270 data_time: 0.0236 memory: 6108 grad_norm: 7.0502 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4469 loss: 1.4469 2022/07/23 04:16:36 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 1.0000e-03 eta: 11:14:38 time: 0.2418 data_time: 0.0222 memory: 6108 grad_norm: 7.0330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3455 loss: 1.3455 2022/07/23 04:16:41 - mmengine - INFO - Epoch(train) [54][3720/3757] lr: 1.0000e-03 eta: 11:14:34 time: 0.2411 data_time: 0.0192 memory: 6108 grad_norm: 7.0240 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3828 loss: 1.3828 2022/07/23 04:16:46 - mmengine - INFO - Epoch(train) [54][3740/3757] lr: 1.0000e-03 eta: 11:14:29 time: 0.2282 data_time: 0.0214 memory: 6108 grad_norm: 6.6873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/07/23 04:16:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:16:49 - mmengine - INFO - Epoch(train) [54][3757/3757] lr: 1.0000e-03 eta: 11:14:29 time: 0.1958 data_time: 0.0176 memory: 6108 grad_norm: 6.8824 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7051 loss: 1.7051 2022/07/23 04:16:55 - mmengine - INFO - Epoch(val) [54][20/310] eta: 0:01:19 time: 0.2752 data_time: 0.1945 memory: 1428 2022/07/23 04:16:58 - mmengine - INFO - Epoch(val) [54][40/310] eta: 0:00:47 time: 0.1773 data_time: 0.0956 memory: 1428 2022/07/23 04:17:03 - mmengine - INFO - Epoch(val) [54][60/310] eta: 0:00:56 time: 0.2275 data_time: 0.1515 memory: 1428 2022/07/23 04:17:07 - mmengine - INFO - Epoch(val) [54][80/310] eta: 0:00:49 time: 0.2160 data_time: 0.1402 memory: 1428 2022/07/23 04:17:11 - mmengine - INFO - Epoch(val) [54][100/310] eta: 0:00:45 time: 0.2143 data_time: 0.1417 memory: 1428 2022/07/23 04:17:16 - mmengine - INFO - Epoch(val) [54][120/310] eta: 0:00:40 time: 0.2124 data_time: 0.1372 memory: 1428 2022/07/23 04:17:20 - mmengine - INFO - Epoch(val) [54][140/310] eta: 0:00:39 time: 0.2345 data_time: 0.1588 memory: 1428 2022/07/23 04:17:25 - mmengine - INFO - Epoch(val) [54][160/310] eta: 0:00:31 time: 0.2081 data_time: 0.1337 memory: 1428 2022/07/23 04:17:29 - mmengine - INFO - Epoch(val) [54][180/310] eta: 0:00:27 time: 0.2153 data_time: 0.1379 memory: 1428 2022/07/23 04:17:33 - mmengine - INFO - Epoch(val) [54][200/310] eta: 0:00:22 time: 0.2004 data_time: 0.1259 memory: 1428 2022/07/23 04:17:37 - mmengine - INFO - Epoch(val) [54][220/310] eta: 0:00:17 time: 0.1935 data_time: 0.1194 memory: 1428 2022/07/23 04:17:41 - mmengine - INFO - Epoch(val) [54][240/310] eta: 0:00:13 time: 0.1978 data_time: 0.1184 memory: 1428 2022/07/23 04:17:45 - mmengine - INFO - Epoch(val) [54][260/310] eta: 0:00:11 time: 0.2242 data_time: 0.1507 memory: 1428 2022/07/23 04:17:49 - mmengine - INFO - Epoch(val) [54][280/310] eta: 0:00:06 time: 0.2142 data_time: 0.1400 memory: 1428 2022/07/23 04:17:53 - mmengine - INFO - Epoch(val) [54][300/310] eta: 0:00:01 time: 0.1956 data_time: 0.1205 memory: 1428 2022/07/23 04:17:57 - mmengine - INFO - Epoch(val) [54][310/310] acc/top1: 0.6472 acc/top5: 0.8564 acc/mean1: 0.6471 2022/07/23 04:17:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_53.pth is removed 2022/07/23 04:18:00 - mmengine - INFO - The best checkpoint with 0.6472 acc/top1 at 55 epoch is saved to best_acc/top1_epoch_55.pth. 2022/07/23 04:18:06 - mmengine - INFO - Epoch(train) [55][20/3757] lr: 1.0000e-03 eta: 11:14:17 time: 0.2766 data_time: 0.0922 memory: 6108 grad_norm: 6.8590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5437 loss: 1.5437 2022/07/23 04:18:11 - mmengine - INFO - Epoch(train) [55][40/3757] lr: 1.0000e-03 eta: 11:14:13 time: 0.2446 data_time: 0.0227 memory: 6108 grad_norm: 6.8935 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/07/23 04:18:15 - mmengine - INFO - Epoch(train) [55][60/3757] lr: 1.0000e-03 eta: 11:14:08 time: 0.2279 data_time: 0.0219 memory: 6108 grad_norm: 7.0770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8581 loss: 1.8581 2022/07/23 04:18:20 - mmengine - INFO - Epoch(train) [55][80/3757] lr: 1.0000e-03 eta: 11:14:03 time: 0.2303 data_time: 0.0192 memory: 6108 grad_norm: 6.8442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/07/23 04:18:25 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 1.0000e-03 eta: 11:13:59 time: 0.2326 data_time: 0.0206 memory: 6108 grad_norm: 6.8318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/07/23 04:18:30 - mmengine - INFO - Epoch(train) [55][120/3757] lr: 1.0000e-03 eta: 11:13:55 time: 0.2673 data_time: 0.0211 memory: 6108 grad_norm: 7.1266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6767 loss: 1.6767 2022/07/23 04:18:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:18:34 - mmengine - INFO - Epoch(train) [55][140/3757] lr: 1.0000e-03 eta: 11:13:50 time: 0.2200 data_time: 0.0195 memory: 6108 grad_norm: 6.5044 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2704 loss: 1.2704 2022/07/23 04:18:39 - mmengine - INFO - Epoch(train) [55][160/3757] lr: 1.0000e-03 eta: 11:13:45 time: 0.2285 data_time: 0.0266 memory: 6108 grad_norm: 6.8109 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4485 loss: 1.4485 2022/07/23 04:18:44 - mmengine - INFO - Epoch(train) [55][180/3757] lr: 1.0000e-03 eta: 11:13:40 time: 0.2320 data_time: 0.0290 memory: 6108 grad_norm: 6.5914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5222 loss: 1.5222 2022/07/23 04:18:48 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 1.0000e-03 eta: 11:13:35 time: 0.2237 data_time: 0.0184 memory: 6108 grad_norm: 6.9364 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5103 loss: 1.5103 2022/07/23 04:18:53 - mmengine - INFO - Epoch(train) [55][220/3757] lr: 1.0000e-03 eta: 11:13:31 time: 0.2551 data_time: 0.0241 memory: 6108 grad_norm: 7.0175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2880 loss: 1.2880 2022/07/23 04:18:58 - mmengine - INFO - Epoch(train) [55][240/3757] lr: 1.0000e-03 eta: 11:13:26 time: 0.2270 data_time: 0.0335 memory: 6108 grad_norm: 6.8143 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3214 loss: 1.3214 2022/07/23 04:19:02 - mmengine - INFO - Epoch(train) [55][260/3757] lr: 1.0000e-03 eta: 11:13:21 time: 0.2288 data_time: 0.0220 memory: 6108 grad_norm: 6.7472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3175 loss: 1.3175 2022/07/23 04:19:07 - mmengine - INFO - Epoch(train) [55][280/3757] lr: 1.0000e-03 eta: 11:13:17 time: 0.2253 data_time: 0.0217 memory: 6108 grad_norm: 6.7325 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5600 loss: 1.5600 2022/07/23 04:19:12 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 1.0000e-03 eta: 11:13:12 time: 0.2460 data_time: 0.0268 memory: 6108 grad_norm: 7.2002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5964 loss: 1.5964 2022/07/23 04:19:17 - mmengine - INFO - Epoch(train) [55][320/3757] lr: 1.0000e-03 eta: 11:13:08 time: 0.2539 data_time: 0.0249 memory: 6108 grad_norm: 6.6693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4056 loss: 1.4056 2022/07/23 04:19:22 - mmengine - INFO - Epoch(train) [55][340/3757] lr: 1.0000e-03 eta: 11:13:03 time: 0.2295 data_time: 0.0239 memory: 6108 grad_norm: 7.0030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3795 loss: 1.3795 2022/07/23 04:19:26 - mmengine - INFO - Epoch(train) [55][360/3757] lr: 1.0000e-03 eta: 11:12:58 time: 0.2294 data_time: 0.0223 memory: 6108 grad_norm: 6.8962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2687 loss: 1.2687 2022/07/23 04:19:31 - mmengine - INFO - Epoch(train) [55][380/3757] lr: 1.0000e-03 eta: 11:12:54 time: 0.2404 data_time: 0.0273 memory: 6108 grad_norm: 6.7424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/07/23 04:19:36 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 1.0000e-03 eta: 11:12:49 time: 0.2318 data_time: 0.0253 memory: 6108 grad_norm: 7.0866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/07/23 04:19:41 - mmengine - INFO - Epoch(train) [55][420/3757] lr: 1.0000e-03 eta: 11:12:44 time: 0.2475 data_time: 0.0215 memory: 6108 grad_norm: 6.9615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4963 loss: 1.4963 2022/07/23 04:19:45 - mmengine - INFO - Epoch(train) [55][440/3757] lr: 1.0000e-03 eta: 11:12:40 time: 0.2277 data_time: 0.0198 memory: 6108 grad_norm: 6.9502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3400 loss: 1.3400 2022/07/23 04:19:50 - mmengine - INFO - Epoch(train) [55][460/3757] lr: 1.0000e-03 eta: 11:12:35 time: 0.2400 data_time: 0.0306 memory: 6108 grad_norm: 6.8920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3992 loss: 1.3992 2022/07/23 04:19:55 - mmengine - INFO - Epoch(train) [55][480/3757] lr: 1.0000e-03 eta: 11:12:30 time: 0.2361 data_time: 0.0200 memory: 6108 grad_norm: 6.8689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3248 loss: 1.3248 2022/07/23 04:19:59 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 1.0000e-03 eta: 11:12:26 time: 0.2300 data_time: 0.0244 memory: 6108 grad_norm: 6.8176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/07/23 04:20:04 - mmengine - INFO - Epoch(train) [55][520/3757] lr: 1.0000e-03 eta: 11:12:21 time: 0.2250 data_time: 0.0233 memory: 6108 grad_norm: 6.8969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5382 loss: 1.5382 2022/07/23 04:20:08 - mmengine - INFO - Epoch(train) [55][540/3757] lr: 1.0000e-03 eta: 11:12:16 time: 0.2243 data_time: 0.0196 memory: 6108 grad_norm: 6.8997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7276 loss: 1.7276 2022/07/23 04:20:14 - mmengine - INFO - Epoch(train) [55][560/3757] lr: 1.0000e-03 eta: 11:12:12 time: 0.2602 data_time: 0.0218 memory: 6108 grad_norm: 7.0402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4572 loss: 1.4572 2022/07/23 04:20:18 - mmengine - INFO - Epoch(train) [55][580/3757] lr: 1.0000e-03 eta: 11:12:07 time: 0.2284 data_time: 0.0273 memory: 6108 grad_norm: 6.7612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/07/23 04:20:23 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 1.0000e-03 eta: 11:12:02 time: 0.2438 data_time: 0.0182 memory: 6108 grad_norm: 6.8007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5158 loss: 1.5158 2022/07/23 04:20:28 - mmengine - INFO - Epoch(train) [55][620/3757] lr: 1.0000e-03 eta: 11:11:58 time: 0.2266 data_time: 0.0236 memory: 6108 grad_norm: 6.8772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3044 loss: 1.3044 2022/07/23 04:20:32 - mmengine - INFO - Epoch(train) [55][640/3757] lr: 1.0000e-03 eta: 11:11:53 time: 0.2338 data_time: 0.0250 memory: 6108 grad_norm: 6.9972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5648 loss: 1.5648 2022/07/23 04:20:37 - mmengine - INFO - Epoch(train) [55][660/3757] lr: 1.0000e-03 eta: 11:11:48 time: 0.2279 data_time: 0.0217 memory: 6108 grad_norm: 6.9076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4602 loss: 1.4602 2022/07/23 04:20:42 - mmengine - INFO - Epoch(train) [55][680/3757] lr: 1.0000e-03 eta: 11:11:43 time: 0.2307 data_time: 0.0256 memory: 6108 grad_norm: 6.7866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3685 loss: 1.3685 2022/07/23 04:20:46 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 1.0000e-03 eta: 11:11:39 time: 0.2317 data_time: 0.0301 memory: 6108 grad_norm: 6.7986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2878 loss: 1.2878 2022/07/23 04:20:51 - mmengine - INFO - Epoch(train) [55][720/3757] lr: 1.0000e-03 eta: 11:11:34 time: 0.2362 data_time: 0.0218 memory: 6108 grad_norm: 6.9328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4638 loss: 1.4638 2022/07/23 04:20:56 - mmengine - INFO - Epoch(train) [55][740/3757] lr: 1.0000e-03 eta: 11:11:29 time: 0.2286 data_time: 0.0238 memory: 6108 grad_norm: 6.9800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4939 loss: 1.4939 2022/07/23 04:21:00 - mmengine - INFO - Epoch(train) [55][760/3757] lr: 1.0000e-03 eta: 11:11:25 time: 0.2331 data_time: 0.0204 memory: 6108 grad_norm: 6.7281 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3677 loss: 1.3677 2022/07/23 04:21:05 - mmengine - INFO - Epoch(train) [55][780/3757] lr: 1.0000e-03 eta: 11:11:20 time: 0.2258 data_time: 0.0193 memory: 6108 grad_norm: 6.8393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7202 loss: 1.7202 2022/07/23 04:21:09 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 1.0000e-03 eta: 11:11:15 time: 0.2281 data_time: 0.0233 memory: 6108 grad_norm: 7.0421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4046 loss: 1.4046 2022/07/23 04:21:14 - mmengine - INFO - Epoch(train) [55][820/3757] lr: 1.0000e-03 eta: 11:11:11 time: 0.2529 data_time: 0.0241 memory: 6108 grad_norm: 7.1116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2056 loss: 1.2056 2022/07/23 04:21:19 - mmengine - INFO - Epoch(train) [55][840/3757] lr: 1.0000e-03 eta: 11:11:06 time: 0.2336 data_time: 0.0276 memory: 6108 grad_norm: 6.9966 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7968 loss: 1.7968 2022/07/23 04:21:24 - mmengine - INFO - Epoch(train) [55][860/3757] lr: 1.0000e-03 eta: 11:11:02 time: 0.2577 data_time: 0.0235 memory: 6108 grad_norm: 6.9086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3921 loss: 1.3921 2022/07/23 04:21:29 - mmengine - INFO - Epoch(train) [55][880/3757] lr: 1.0000e-03 eta: 11:10:57 time: 0.2240 data_time: 0.0242 memory: 6108 grad_norm: 6.9296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2004 loss: 1.2004 2022/07/23 04:21:34 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 1.0000e-03 eta: 11:10:52 time: 0.2448 data_time: 0.0281 memory: 6108 grad_norm: 6.8178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4457 loss: 1.4457 2022/07/23 04:21:38 - mmengine - INFO - Epoch(train) [55][920/3757] lr: 1.0000e-03 eta: 11:10:48 time: 0.2298 data_time: 0.0331 memory: 6108 grad_norm: 6.9917 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4478 loss: 1.4478 2022/07/23 04:21:43 - mmengine - INFO - Epoch(train) [55][940/3757] lr: 1.0000e-03 eta: 11:10:43 time: 0.2299 data_time: 0.0269 memory: 6108 grad_norm: 6.9533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5818 loss: 1.5818 2022/07/23 04:21:48 - mmengine - INFO - Epoch(train) [55][960/3757] lr: 1.0000e-03 eta: 11:10:38 time: 0.2256 data_time: 0.0254 memory: 6108 grad_norm: 6.9918 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6086 loss: 1.6086 2022/07/23 04:21:52 - mmengine - INFO - Epoch(train) [55][980/3757] lr: 1.0000e-03 eta: 11:10:33 time: 0.2433 data_time: 0.0269 memory: 6108 grad_norm: 6.6429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/07/23 04:21:57 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 1.0000e-03 eta: 11:10:29 time: 0.2277 data_time: 0.0246 memory: 6108 grad_norm: 6.7130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3053 loss: 1.3053 2022/07/23 04:22:02 - mmengine - INFO - Epoch(train) [55][1020/3757] lr: 1.0000e-03 eta: 11:10:24 time: 0.2242 data_time: 0.0218 memory: 6108 grad_norm: 7.2280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/07/23 04:22:06 - mmengine - INFO - Epoch(train) [55][1040/3757] lr: 1.0000e-03 eta: 11:10:19 time: 0.2399 data_time: 0.0319 memory: 6108 grad_norm: 6.7278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4238 loss: 1.4238 2022/07/23 04:22:11 - mmengine - INFO - Epoch(train) [55][1060/3757] lr: 1.0000e-03 eta: 11:10:15 time: 0.2486 data_time: 0.0210 memory: 6108 grad_norm: 6.8362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5857 loss: 1.5857 2022/07/23 04:22:16 - mmengine - INFO - Epoch(train) [55][1080/3757] lr: 1.0000e-03 eta: 11:10:10 time: 0.2279 data_time: 0.0248 memory: 6108 grad_norm: 7.0362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5319 loss: 1.5319 2022/07/23 04:22:21 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 1.0000e-03 eta: 11:10:05 time: 0.2355 data_time: 0.0209 memory: 6108 grad_norm: 6.8073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6507 loss: 1.6507 2022/07/23 04:22:25 - mmengine - INFO - Epoch(train) [55][1120/3757] lr: 1.0000e-03 eta: 11:10:01 time: 0.2401 data_time: 0.0381 memory: 6108 grad_norm: 6.6941 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/07/23 04:22:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:22:31 - mmengine - INFO - Epoch(train) [55][1140/3757] lr: 1.0000e-03 eta: 11:09:56 time: 0.2528 data_time: 0.0287 memory: 6108 grad_norm: 6.9706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/07/23 04:22:35 - mmengine - INFO - Epoch(train) [55][1160/3757] lr: 1.0000e-03 eta: 11:09:51 time: 0.2195 data_time: 0.0216 memory: 6108 grad_norm: 7.2137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4086 loss: 1.4086 2022/07/23 04:22:40 - mmengine - INFO - Epoch(train) [55][1180/3757] lr: 1.0000e-03 eta: 11:09:47 time: 0.2304 data_time: 0.0254 memory: 6108 grad_norm: 6.6113 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6248 loss: 1.6248 2022/07/23 04:22:44 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 1.0000e-03 eta: 11:09:42 time: 0.2393 data_time: 0.0253 memory: 6108 grad_norm: 7.1439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/07/23 04:22:49 - mmengine - INFO - Epoch(train) [55][1220/3757] lr: 1.0000e-03 eta: 11:09:37 time: 0.2290 data_time: 0.0234 memory: 6108 grad_norm: 7.0073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4489 loss: 1.4489 2022/07/23 04:22:54 - mmengine - INFO - Epoch(train) [55][1240/3757] lr: 1.0000e-03 eta: 11:09:33 time: 0.2399 data_time: 0.0270 memory: 6108 grad_norm: 6.8494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5003 loss: 1.5003 2022/07/23 04:22:58 - mmengine - INFO - Epoch(train) [55][1260/3757] lr: 1.0000e-03 eta: 11:09:28 time: 0.2343 data_time: 0.0278 memory: 6108 grad_norm: 6.7140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7490 loss: 1.7490 2022/07/23 04:23:03 - mmengine - INFO - Epoch(train) [55][1280/3757] lr: 1.0000e-03 eta: 11:09:23 time: 0.2258 data_time: 0.0245 memory: 6108 grad_norm: 6.6590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4689 loss: 1.4689 2022/07/23 04:23:08 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 1.0000e-03 eta: 11:09:18 time: 0.2295 data_time: 0.0335 memory: 6108 grad_norm: 7.0302 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/07/23 04:23:13 - mmengine - INFO - Epoch(train) [55][1320/3757] lr: 1.0000e-03 eta: 11:09:14 time: 0.2636 data_time: 0.0184 memory: 6108 grad_norm: 6.9320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3828 loss: 1.3828 2022/07/23 04:23:17 - mmengine - INFO - Epoch(train) [55][1340/3757] lr: 1.0000e-03 eta: 11:09:09 time: 0.2272 data_time: 0.0299 memory: 6108 grad_norm: 6.9088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4466 loss: 1.4466 2022/07/23 04:23:22 - mmengine - INFO - Epoch(train) [55][1360/3757] lr: 1.0000e-03 eta: 11:09:05 time: 0.2320 data_time: 0.0232 memory: 6108 grad_norm: 6.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3757 loss: 1.3757 2022/07/23 04:23:27 - mmengine - INFO - Epoch(train) [55][1380/3757] lr: 1.0000e-03 eta: 11:09:00 time: 0.2263 data_time: 0.0254 memory: 6108 grad_norm: 7.0131 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1996 loss: 1.1996 2022/07/23 04:23:32 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 1.0000e-03 eta: 11:08:56 time: 0.2481 data_time: 0.0235 memory: 6108 grad_norm: 6.9874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4613 loss: 1.4613 2022/07/23 04:23:36 - mmengine - INFO - Epoch(train) [55][1420/3757] lr: 1.0000e-03 eta: 11:08:51 time: 0.2404 data_time: 0.0202 memory: 6108 grad_norm: 6.8558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3698 loss: 1.3698 2022/07/23 04:23:41 - mmengine - INFO - Epoch(train) [55][1440/3757] lr: 1.0000e-03 eta: 11:08:46 time: 0.2353 data_time: 0.0270 memory: 6108 grad_norm: 7.2335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6119 loss: 1.6119 2022/07/23 04:23:46 - mmengine - INFO - Epoch(train) [55][1460/3757] lr: 1.0000e-03 eta: 11:08:41 time: 0.2286 data_time: 0.0205 memory: 6108 grad_norm: 6.8094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3425 loss: 1.3425 2022/07/23 04:23:51 - mmengine - INFO - Epoch(train) [55][1480/3757] lr: 1.0000e-03 eta: 11:08:37 time: 0.2586 data_time: 0.0234 memory: 6108 grad_norm: 6.7222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2213 loss: 1.2213 2022/07/23 04:23:55 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 1.0000e-03 eta: 11:08:32 time: 0.2199 data_time: 0.0193 memory: 6108 grad_norm: 6.8893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1714 loss: 1.1714 2022/07/23 04:24:00 - mmengine - INFO - Epoch(train) [55][1520/3757] lr: 1.0000e-03 eta: 11:08:28 time: 0.2343 data_time: 0.0251 memory: 6108 grad_norm: 7.0240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/07/23 04:24:05 - mmengine - INFO - Epoch(train) [55][1540/3757] lr: 1.0000e-03 eta: 11:08:23 time: 0.2256 data_time: 0.0265 memory: 6108 grad_norm: 7.1531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5948 loss: 1.5948 2022/07/23 04:24:09 - mmengine - INFO - Epoch(train) [55][1560/3757] lr: 1.0000e-03 eta: 11:08:18 time: 0.2264 data_time: 0.0231 memory: 6108 grad_norm: 6.9211 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3364 loss: 1.3364 2022/07/23 04:24:14 - mmengine - INFO - Epoch(train) [55][1580/3757] lr: 1.0000e-03 eta: 11:08:13 time: 0.2434 data_time: 0.0317 memory: 6108 grad_norm: 6.7781 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6120 loss: 1.6120 2022/07/23 04:24:19 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 1.0000e-03 eta: 11:08:09 time: 0.2279 data_time: 0.0256 memory: 6108 grad_norm: 6.8271 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3701 loss: 1.3701 2022/07/23 04:24:23 - mmengine - INFO - Epoch(train) [55][1620/3757] lr: 1.0000e-03 eta: 11:08:04 time: 0.2305 data_time: 0.0224 memory: 6108 grad_norm: 6.7574 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2539 loss: 1.2539 2022/07/23 04:24:28 - mmengine - INFO - Epoch(train) [55][1640/3757] lr: 1.0000e-03 eta: 11:07:59 time: 0.2314 data_time: 0.0199 memory: 6108 grad_norm: 6.9465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3868 loss: 1.3868 2022/07/23 04:24:33 - mmengine - INFO - Epoch(train) [55][1660/3757] lr: 1.0000e-03 eta: 11:07:55 time: 0.2432 data_time: 0.0221 memory: 6108 grad_norm: 7.0086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4103 loss: 1.4103 2022/07/23 04:24:38 - mmengine - INFO - Epoch(train) [55][1680/3757] lr: 1.0000e-03 eta: 11:07:50 time: 0.2593 data_time: 0.0240 memory: 6108 grad_norm: 6.4893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/07/23 04:24:43 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 1.0000e-03 eta: 11:07:46 time: 0.2269 data_time: 0.0251 memory: 6108 grad_norm: 6.9006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5291 loss: 1.5291 2022/07/23 04:24:47 - mmengine - INFO - Epoch(train) [55][1720/3757] lr: 1.0000e-03 eta: 11:07:41 time: 0.2293 data_time: 0.0271 memory: 6108 grad_norm: 7.1496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6630 loss: 1.6630 2022/07/23 04:24:52 - mmengine - INFO - Epoch(train) [55][1740/3757] lr: 1.0000e-03 eta: 11:07:36 time: 0.2326 data_time: 0.0239 memory: 6108 grad_norm: 6.9583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4875 loss: 1.4875 2022/07/23 04:24:57 - mmengine - INFO - Epoch(train) [55][1760/3757] lr: 1.0000e-03 eta: 11:07:31 time: 0.2324 data_time: 0.0235 memory: 6108 grad_norm: 6.9605 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5801 loss: 1.5801 2022/07/23 04:25:01 - mmengine - INFO - Epoch(train) [55][1780/3757] lr: 1.0000e-03 eta: 11:07:27 time: 0.2249 data_time: 0.0192 memory: 6108 grad_norm: 7.0417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4247 loss: 1.4247 2022/07/23 04:25:06 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 1.0000e-03 eta: 11:07:22 time: 0.2279 data_time: 0.0245 memory: 6108 grad_norm: 6.8519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1618 loss: 1.1618 2022/07/23 04:25:11 - mmengine - INFO - Epoch(train) [55][1820/3757] lr: 1.0000e-03 eta: 11:07:17 time: 0.2503 data_time: 0.0226 memory: 6108 grad_norm: 6.7784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7277 loss: 1.7277 2022/07/23 04:25:15 - mmengine - INFO - Epoch(train) [55][1840/3757] lr: 1.0000e-03 eta: 11:07:13 time: 0.2284 data_time: 0.0232 memory: 6108 grad_norm: 7.2416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2449 loss: 1.2449 2022/07/23 04:25:20 - mmengine - INFO - Epoch(train) [55][1860/3757] lr: 1.0000e-03 eta: 11:07:08 time: 0.2240 data_time: 0.0194 memory: 6108 grad_norm: 6.9755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/07/23 04:25:25 - mmengine - INFO - Epoch(train) [55][1880/3757] lr: 1.0000e-03 eta: 11:07:03 time: 0.2368 data_time: 0.0307 memory: 6108 grad_norm: 7.2210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4845 loss: 1.4845 2022/07/23 04:25:29 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 1.0000e-03 eta: 11:06:58 time: 0.2242 data_time: 0.0193 memory: 6108 grad_norm: 6.9954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6709 loss: 1.6709 2022/07/23 04:25:34 - mmengine - INFO - Epoch(train) [55][1920/3757] lr: 1.0000e-03 eta: 11:06:54 time: 0.2411 data_time: 0.0267 memory: 6108 grad_norm: 7.0263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/07/23 04:25:38 - mmengine - INFO - Epoch(train) [55][1940/3757] lr: 1.0000e-03 eta: 11:06:49 time: 0.2294 data_time: 0.0246 memory: 6108 grad_norm: 6.8518 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4138 loss: 1.4138 2022/07/23 04:25:43 - mmengine - INFO - Epoch(train) [55][1960/3757] lr: 1.0000e-03 eta: 11:06:44 time: 0.2395 data_time: 0.0255 memory: 6108 grad_norm: 7.0359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/07/23 04:25:48 - mmengine - INFO - Epoch(train) [55][1980/3757] lr: 1.0000e-03 eta: 11:06:40 time: 0.2337 data_time: 0.0194 memory: 6108 grad_norm: 6.7436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2818 loss: 1.2818 2022/07/23 04:25:53 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 1.0000e-03 eta: 11:06:35 time: 0.2434 data_time: 0.0240 memory: 6108 grad_norm: 7.0911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4096 loss: 1.4096 2022/07/23 04:25:58 - mmengine - INFO - Epoch(train) [55][2020/3757] lr: 1.0000e-03 eta: 11:06:30 time: 0.2365 data_time: 0.0230 memory: 6108 grad_norm: 7.2512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/07/23 04:26:02 - mmengine - INFO - Epoch(train) [55][2040/3757] lr: 1.0000e-03 eta: 11:06:26 time: 0.2315 data_time: 0.0279 memory: 6108 grad_norm: 6.9693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4855 loss: 1.4855 2022/07/23 04:26:07 - mmengine - INFO - Epoch(train) [55][2060/3757] lr: 1.0000e-03 eta: 11:06:21 time: 0.2292 data_time: 0.0237 memory: 6108 grad_norm: 7.3624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/07/23 04:26:12 - mmengine - INFO - Epoch(train) [55][2080/3757] lr: 1.0000e-03 eta: 11:06:16 time: 0.2353 data_time: 0.0195 memory: 6108 grad_norm: 7.1255 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6279 loss: 1.6279 2022/07/23 04:26:16 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 1.0000e-03 eta: 11:06:12 time: 0.2410 data_time: 0.0236 memory: 6108 grad_norm: 7.2716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3739 loss: 1.3739 2022/07/23 04:26:21 - mmengine - INFO - Epoch(train) [55][2120/3757] lr: 1.0000e-03 eta: 11:06:07 time: 0.2366 data_time: 0.0208 memory: 6108 grad_norm: 7.4301 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5309 loss: 1.5309 2022/07/23 04:26:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:26:26 - mmengine - INFO - Epoch(train) [55][2140/3757] lr: 1.0000e-03 eta: 11:06:02 time: 0.2296 data_time: 0.0304 memory: 6108 grad_norm: 7.2405 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4431 loss: 1.4431 2022/07/23 04:26:31 - mmengine - INFO - Epoch(train) [55][2160/3757] lr: 1.0000e-03 eta: 11:05:58 time: 0.2403 data_time: 0.0269 memory: 6108 grad_norm: 6.9167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4361 loss: 1.4361 2022/07/23 04:26:35 - mmengine - INFO - Epoch(train) [55][2180/3757] lr: 1.0000e-03 eta: 11:05:53 time: 0.2261 data_time: 0.0283 memory: 6108 grad_norm: 6.7738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4053 loss: 1.4053 2022/07/23 04:26:40 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 1.0000e-03 eta: 11:05:48 time: 0.2300 data_time: 0.0204 memory: 6108 grad_norm: 6.7788 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/07/23 04:26:44 - mmengine - INFO - Epoch(train) [55][2220/3757] lr: 1.0000e-03 eta: 11:05:43 time: 0.2295 data_time: 0.0198 memory: 6108 grad_norm: 7.1376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/07/23 04:26:49 - mmengine - INFO - Epoch(train) [55][2240/3757] lr: 1.0000e-03 eta: 11:05:39 time: 0.2297 data_time: 0.0303 memory: 6108 grad_norm: 7.1982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4771 loss: 1.4771 2022/07/23 04:26:54 - mmengine - INFO - Epoch(train) [55][2260/3757] lr: 1.0000e-03 eta: 11:05:34 time: 0.2374 data_time: 0.0245 memory: 6108 grad_norm: 6.9363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1946 loss: 1.1946 2022/07/23 04:26:58 - mmengine - INFO - Epoch(train) [55][2280/3757] lr: 1.0000e-03 eta: 11:05:29 time: 0.2304 data_time: 0.0259 memory: 6108 grad_norm: 6.8939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6702 loss: 1.6702 2022/07/23 04:27:03 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 1.0000e-03 eta: 11:05:25 time: 0.2459 data_time: 0.0322 memory: 6108 grad_norm: 7.0269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/07/23 04:27:08 - mmengine - INFO - Epoch(train) [55][2320/3757] lr: 1.0000e-03 eta: 11:05:20 time: 0.2323 data_time: 0.0219 memory: 6108 grad_norm: 6.7626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/07/23 04:27:13 - mmengine - INFO - Epoch(train) [55][2340/3757] lr: 1.0000e-03 eta: 11:05:15 time: 0.2361 data_time: 0.0181 memory: 6108 grad_norm: 7.0198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/07/23 04:27:17 - mmengine - INFO - Epoch(train) [55][2360/3757] lr: 1.0000e-03 eta: 11:05:11 time: 0.2334 data_time: 0.0266 memory: 6108 grad_norm: 6.9648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5174 loss: 1.5174 2022/07/23 04:27:22 - mmengine - INFO - Epoch(train) [55][2380/3757] lr: 1.0000e-03 eta: 11:05:06 time: 0.2276 data_time: 0.0208 memory: 6108 grad_norm: 6.7055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3113 loss: 1.3113 2022/07/23 04:27:27 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 1.0000e-03 eta: 11:05:01 time: 0.2303 data_time: 0.0198 memory: 6108 grad_norm: 6.9497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5257 loss: 1.5257 2022/07/23 04:27:32 - mmengine - INFO - Epoch(train) [55][2420/3757] lr: 1.0000e-03 eta: 11:04:57 time: 0.2432 data_time: 0.0296 memory: 6108 grad_norm: 6.9179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/07/23 04:27:36 - mmengine - INFO - Epoch(train) [55][2440/3757] lr: 1.0000e-03 eta: 11:04:52 time: 0.2260 data_time: 0.0240 memory: 6108 grad_norm: 6.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/07/23 04:27:40 - mmengine - INFO - Epoch(train) [55][2460/3757] lr: 1.0000e-03 eta: 11:04:47 time: 0.2214 data_time: 0.0220 memory: 6108 grad_norm: 7.1153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/07/23 04:27:46 - mmengine - INFO - Epoch(train) [55][2480/3757] lr: 1.0000e-03 eta: 11:04:43 time: 0.2532 data_time: 0.0234 memory: 6108 grad_norm: 6.6310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/07/23 04:27:51 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 1.0000e-03 eta: 11:04:38 time: 0.2509 data_time: 0.0252 memory: 6108 grad_norm: 6.9065 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3846 loss: 1.3846 2022/07/23 04:27:55 - mmengine - INFO - Epoch(train) [55][2520/3757] lr: 1.0000e-03 eta: 11:04:33 time: 0.2285 data_time: 0.0216 memory: 6108 grad_norm: 6.8600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4887 loss: 1.4887 2022/07/23 04:28:00 - mmengine - INFO - Epoch(train) [55][2540/3757] lr: 1.0000e-03 eta: 11:04:29 time: 0.2328 data_time: 0.0193 memory: 6108 grad_norm: 7.0232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/07/23 04:28:04 - mmengine - INFO - Epoch(train) [55][2560/3757] lr: 1.0000e-03 eta: 11:04:24 time: 0.2277 data_time: 0.0245 memory: 6108 grad_norm: 6.8180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3400 loss: 1.3400 2022/07/23 04:28:09 - mmengine - INFO - Epoch(train) [55][2580/3757] lr: 1.0000e-03 eta: 11:04:19 time: 0.2265 data_time: 0.0231 memory: 6108 grad_norm: 7.1552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6264 loss: 1.6264 2022/07/23 04:28:14 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 1.0000e-03 eta: 11:04:14 time: 0.2356 data_time: 0.0258 memory: 6108 grad_norm: 6.9989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3575 loss: 1.3575 2022/07/23 04:28:19 - mmengine - INFO - Epoch(train) [55][2620/3757] lr: 1.0000e-03 eta: 11:04:10 time: 0.2697 data_time: 0.0204 memory: 6108 grad_norm: 6.8594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3590 loss: 1.3590 2022/07/23 04:28:24 - mmengine - INFO - Epoch(train) [55][2640/3757] lr: 1.0000e-03 eta: 11:04:05 time: 0.2204 data_time: 0.0225 memory: 6108 grad_norm: 6.7021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4126 loss: 1.4126 2022/07/23 04:28:28 - mmengine - INFO - Epoch(train) [55][2660/3757] lr: 1.0000e-03 eta: 11:04:01 time: 0.2268 data_time: 0.0222 memory: 6108 grad_norm: 7.1534 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6705 loss: 1.6705 2022/07/23 04:28:33 - mmengine - INFO - Epoch(train) [55][2680/3757] lr: 1.0000e-03 eta: 11:03:56 time: 0.2467 data_time: 0.0241 memory: 6108 grad_norm: 7.0600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5639 loss: 1.5639 2022/07/23 04:28:38 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 1.0000e-03 eta: 11:03:51 time: 0.2272 data_time: 0.0229 memory: 6108 grad_norm: 6.6384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2927 loss: 1.2927 2022/07/23 04:28:43 - mmengine - INFO - Epoch(train) [55][2720/3757] lr: 1.0000e-03 eta: 11:03:47 time: 0.2579 data_time: 0.0180 memory: 6108 grad_norm: 6.7806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3063 loss: 1.3063 2022/07/23 04:28:47 - mmengine - INFO - Epoch(train) [55][2740/3757] lr: 1.0000e-03 eta: 11:03:42 time: 0.2252 data_time: 0.0235 memory: 6108 grad_norm: 7.1055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5014 loss: 1.5014 2022/07/23 04:28:52 - mmengine - INFO - Epoch(train) [55][2760/3757] lr: 1.0000e-03 eta: 11:03:38 time: 0.2421 data_time: 0.0236 memory: 6108 grad_norm: 7.2634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/07/23 04:28:57 - mmengine - INFO - Epoch(train) [55][2780/3757] lr: 1.0000e-03 eta: 11:03:33 time: 0.2253 data_time: 0.0196 memory: 6108 grad_norm: 7.0403 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2845 loss: 1.2845 2022/07/23 04:29:01 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 1.0000e-03 eta: 11:03:28 time: 0.2267 data_time: 0.0223 memory: 6108 grad_norm: 7.0413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7585 loss: 1.7585 2022/07/23 04:29:06 - mmengine - INFO - Epoch(train) [55][2820/3757] lr: 1.0000e-03 eta: 11:03:23 time: 0.2384 data_time: 0.0239 memory: 6108 grad_norm: 7.0159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5870 loss: 1.5870 2022/07/23 04:29:11 - mmengine - INFO - Epoch(train) [55][2840/3757] lr: 1.0000e-03 eta: 11:03:19 time: 0.2416 data_time: 0.0266 memory: 6108 grad_norm: 7.0412 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2201 loss: 1.2201 2022/07/23 04:29:16 - mmengine - INFO - Epoch(train) [55][2860/3757] lr: 1.0000e-03 eta: 11:03:14 time: 0.2271 data_time: 0.0261 memory: 6108 grad_norm: 6.9554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/07/23 04:29:20 - mmengine - INFO - Epoch(train) [55][2880/3757] lr: 1.0000e-03 eta: 11:03:09 time: 0.2257 data_time: 0.0243 memory: 6108 grad_norm: 6.7732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/07/23 04:29:25 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 1.0000e-03 eta: 11:03:05 time: 0.2451 data_time: 0.0370 memory: 6108 grad_norm: 6.8860 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3545 loss: 1.3545 2022/07/23 04:29:30 - mmengine - INFO - Epoch(train) [55][2920/3757] lr: 1.0000e-03 eta: 11:03:00 time: 0.2312 data_time: 0.0224 memory: 6108 grad_norm: 6.9489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/07/23 04:29:35 - mmengine - INFO - Epoch(train) [55][2940/3757] lr: 1.0000e-03 eta: 11:02:56 time: 0.2456 data_time: 0.0346 memory: 6108 grad_norm: 6.9543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6709 loss: 1.6709 2022/07/23 04:29:39 - mmengine - INFO - Epoch(train) [55][2960/3757] lr: 1.0000e-03 eta: 11:02:51 time: 0.2371 data_time: 0.0340 memory: 6108 grad_norm: 7.1426 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4726 loss: 1.4726 2022/07/23 04:29:45 - mmengine - INFO - Epoch(train) [55][2980/3757] lr: 1.0000e-03 eta: 11:02:47 time: 0.2589 data_time: 0.0288 memory: 6108 grad_norm: 7.1434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/07/23 04:29:49 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 1.0000e-03 eta: 11:02:42 time: 0.2196 data_time: 0.0243 memory: 6108 grad_norm: 7.3444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5620 loss: 1.5620 2022/07/23 04:29:54 - mmengine - INFO - Epoch(train) [55][3020/3757] lr: 1.0000e-03 eta: 11:02:37 time: 0.2415 data_time: 0.0248 memory: 6108 grad_norm: 7.3516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/07/23 04:29:58 - mmengine - INFO - Epoch(train) [55][3040/3757] lr: 1.0000e-03 eta: 11:02:32 time: 0.2287 data_time: 0.0173 memory: 6108 grad_norm: 7.3341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1948 loss: 1.1948 2022/07/23 04:30:03 - mmengine - INFO - Epoch(train) [55][3060/3757] lr: 1.0000e-03 eta: 11:02:28 time: 0.2299 data_time: 0.0210 memory: 6108 grad_norm: 7.0483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5970 loss: 1.5970 2022/07/23 04:30:08 - mmengine - INFO - Epoch(train) [55][3080/3757] lr: 1.0000e-03 eta: 11:02:23 time: 0.2287 data_time: 0.0244 memory: 6108 grad_norm: 6.8852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/07/23 04:30:13 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 1.0000e-03 eta: 11:02:18 time: 0.2450 data_time: 0.0181 memory: 6108 grad_norm: 7.2697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2011 loss: 1.2011 2022/07/23 04:30:17 - mmengine - INFO - Epoch(train) [55][3120/3757] lr: 1.0000e-03 eta: 11:02:14 time: 0.2276 data_time: 0.0262 memory: 6108 grad_norm: 6.9202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/07/23 04:30:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:30:22 - mmengine - INFO - Epoch(train) [55][3140/3757] lr: 1.0000e-03 eta: 11:02:09 time: 0.2459 data_time: 0.0207 memory: 6108 grad_norm: 6.9280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4350 loss: 1.4350 2022/07/23 04:30:27 - mmengine - INFO - Epoch(train) [55][3160/3757] lr: 1.0000e-03 eta: 11:02:04 time: 0.2279 data_time: 0.0282 memory: 6108 grad_norm: 6.7262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/07/23 04:30:31 - mmengine - INFO - Epoch(train) [55][3180/3757] lr: 1.0000e-03 eta: 11:02:00 time: 0.2322 data_time: 0.0255 memory: 6108 grad_norm: 7.1690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4224 loss: 1.4224 2022/07/23 04:30:36 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 1.0000e-03 eta: 11:01:55 time: 0.2362 data_time: 0.0172 memory: 6108 grad_norm: 6.9021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4725 loss: 1.4725 2022/07/23 04:30:41 - mmengine - INFO - Epoch(train) [55][3220/3757] lr: 1.0000e-03 eta: 11:01:50 time: 0.2318 data_time: 0.0201 memory: 6108 grad_norm: 7.0888 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7240 loss: 1.7240 2022/07/23 04:30:45 - mmengine - INFO - Epoch(train) [55][3240/3757] lr: 1.0000e-03 eta: 11:01:46 time: 0.2344 data_time: 0.0334 memory: 6108 grad_norm: 7.1808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2661 loss: 1.2661 2022/07/23 04:30:50 - mmengine - INFO - Epoch(train) [55][3260/3757] lr: 1.0000e-03 eta: 11:01:41 time: 0.2296 data_time: 0.0265 memory: 6108 grad_norm: 6.8527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4961 loss: 1.4961 2022/07/23 04:30:55 - mmengine - INFO - Epoch(train) [55][3280/3757] lr: 1.0000e-03 eta: 11:01:36 time: 0.2401 data_time: 0.0215 memory: 6108 grad_norm: 6.9300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4853 loss: 1.4853 2022/07/23 04:30:59 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 1.0000e-03 eta: 11:01:31 time: 0.2312 data_time: 0.0242 memory: 6108 grad_norm: 7.0832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/07/23 04:31:04 - mmengine - INFO - Epoch(train) [55][3320/3757] lr: 1.0000e-03 eta: 11:01:27 time: 0.2303 data_time: 0.0219 memory: 6108 grad_norm: 6.5978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9554 loss: 0.9554 2022/07/23 04:31:09 - mmengine - INFO - Epoch(train) [55][3340/3757] lr: 1.0000e-03 eta: 11:01:22 time: 0.2275 data_time: 0.0179 memory: 6108 grad_norm: 6.8730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3935 loss: 1.3935 2022/07/23 04:31:13 - mmengine - INFO - Epoch(train) [55][3360/3757] lr: 1.0000e-03 eta: 11:01:17 time: 0.2386 data_time: 0.0228 memory: 6108 grad_norm: 7.2917 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4155 loss: 1.4155 2022/07/23 04:31:18 - mmengine - INFO - Epoch(train) [55][3380/3757] lr: 1.0000e-03 eta: 11:01:13 time: 0.2269 data_time: 0.0237 memory: 6108 grad_norm: 7.1169 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2454 loss: 1.2454 2022/07/23 04:31:23 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 1.0000e-03 eta: 11:01:08 time: 0.2429 data_time: 0.0206 memory: 6108 grad_norm: 7.0029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/23 04:31:27 - mmengine - INFO - Epoch(train) [55][3420/3757] lr: 1.0000e-03 eta: 11:01:03 time: 0.2272 data_time: 0.0239 memory: 6108 grad_norm: 6.7989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/07/23 04:31:32 - mmengine - INFO - Epoch(train) [55][3440/3757] lr: 1.0000e-03 eta: 11:00:59 time: 0.2418 data_time: 0.0290 memory: 6108 grad_norm: 6.9615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/07/23 04:31:37 - mmengine - INFO - Epoch(train) [55][3460/3757] lr: 1.0000e-03 eta: 11:00:54 time: 0.2221 data_time: 0.0216 memory: 6108 grad_norm: 7.1497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4768 loss: 1.4768 2022/07/23 04:31:41 - mmengine - INFO - Epoch(train) [55][3480/3757] lr: 1.0000e-03 eta: 11:00:49 time: 0.2260 data_time: 0.0224 memory: 6108 grad_norm: 6.9701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/07/23 04:31:46 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 1.0000e-03 eta: 11:00:44 time: 0.2248 data_time: 0.0240 memory: 6108 grad_norm: 7.0022 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3828 loss: 1.3828 2022/07/23 04:31:51 - mmengine - INFO - Epoch(train) [55][3520/3757] lr: 1.0000e-03 eta: 11:00:40 time: 0.2468 data_time: 0.0219 memory: 6108 grad_norm: 7.1415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/07/23 04:31:55 - mmengine - INFO - Epoch(train) [55][3540/3757] lr: 1.0000e-03 eta: 11:00:35 time: 0.2301 data_time: 0.0287 memory: 6108 grad_norm: 7.0077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4215 loss: 1.4215 2022/07/23 04:32:00 - mmengine - INFO - Epoch(train) [55][3560/3757] lr: 1.0000e-03 eta: 11:00:30 time: 0.2423 data_time: 0.0198 memory: 6108 grad_norm: 7.0930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4798 loss: 1.4798 2022/07/23 04:32:05 - mmengine - INFO - Epoch(train) [55][3580/3757] lr: 1.0000e-03 eta: 11:00:26 time: 0.2271 data_time: 0.0168 memory: 6108 grad_norm: 7.1122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/07/23 04:32:10 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 1.0000e-03 eta: 11:00:21 time: 0.2380 data_time: 0.0198 memory: 6108 grad_norm: 6.8031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3775 loss: 1.3775 2022/07/23 04:32:15 - mmengine - INFO - Epoch(train) [55][3620/3757] lr: 1.0000e-03 eta: 11:00:17 time: 0.2542 data_time: 0.0193 memory: 6108 grad_norm: 7.1207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6753 loss: 1.6753 2022/07/23 04:32:19 - mmengine - INFO - Epoch(train) [55][3640/3757] lr: 1.0000e-03 eta: 11:00:12 time: 0.2263 data_time: 0.0279 memory: 6108 grad_norm: 6.8160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3118 loss: 1.3118 2022/07/23 04:32:24 - mmengine - INFO - Epoch(train) [55][3660/3757] lr: 1.0000e-03 eta: 11:00:07 time: 0.2302 data_time: 0.0229 memory: 6108 grad_norm: 6.9436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/07/23 04:32:29 - mmengine - INFO - Epoch(train) [55][3680/3757] lr: 1.0000e-03 eta: 11:00:02 time: 0.2320 data_time: 0.0175 memory: 6108 grad_norm: 7.1290 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4037 loss: 1.4037 2022/07/23 04:32:33 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 1.0000e-03 eta: 10:59:58 time: 0.2360 data_time: 0.0213 memory: 6108 grad_norm: 7.1928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8061 loss: 1.8061 2022/07/23 04:32:38 - mmengine - INFO - Epoch(train) [55][3720/3757] lr: 1.0000e-03 eta: 10:59:53 time: 0.2287 data_time: 0.0228 memory: 6108 grad_norm: 6.9801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/07/23 04:32:42 - mmengine - INFO - Epoch(train) [55][3740/3757] lr: 1.0000e-03 eta: 10:59:48 time: 0.2303 data_time: 0.0307 memory: 6108 grad_norm: 6.8989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2004 loss: 1.2004 2022/07/23 04:32:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:32:46 - mmengine - INFO - Epoch(train) [55][3757/3757] lr: 1.0000e-03 eta: 10:59:48 time: 0.1971 data_time: 0.0175 memory: 6108 grad_norm: 7.0605 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/07/23 04:32:46 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/07/23 04:32:55 - mmengine - INFO - Epoch(val) [55][20/310] eta: 0:01:19 time: 0.2742 data_time: 0.1998 memory: 1428 2022/07/23 04:32:59 - mmengine - INFO - Epoch(val) [55][40/310] eta: 0:00:48 time: 0.1805 data_time: 0.1060 memory: 1428 2022/07/23 04:33:03 - mmengine - INFO - Epoch(val) [55][60/310] eta: 0:00:53 time: 0.2132 data_time: 0.1341 memory: 1428 2022/07/23 04:33:07 - mmengine - INFO - Epoch(val) [55][80/310] eta: 0:00:48 time: 0.2110 data_time: 0.1385 memory: 1428 2022/07/23 04:33:11 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:00:45 time: 0.2186 data_time: 0.1410 memory: 1428 2022/07/23 04:33:15 - mmengine - INFO - Epoch(val) [55][120/310] eta: 0:00:36 time: 0.1943 data_time: 0.1198 memory: 1428 2022/07/23 04:33:20 - mmengine - INFO - Epoch(val) [55][140/310] eta: 0:00:39 time: 0.2304 data_time: 0.1584 memory: 1428 2022/07/23 04:33:24 - mmengine - INFO - Epoch(val) [55][160/310] eta: 0:00:33 time: 0.2231 data_time: 0.1479 memory: 1428 2022/07/23 04:33:28 - mmengine - INFO - Epoch(val) [55][180/310] eta: 0:00:25 time: 0.1960 data_time: 0.1223 memory: 1428 2022/07/23 04:33:33 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:00:23 time: 0.2137 data_time: 0.1405 memory: 1428 2022/07/23 04:33:37 - mmengine - INFO - Epoch(val) [55][220/310] eta: 0:00:19 time: 0.2219 data_time: 0.1467 memory: 1428 2022/07/23 04:33:41 - mmengine - INFO - Epoch(val) [55][240/310] eta: 0:00:13 time: 0.1878 data_time: 0.1098 memory: 1428 2022/07/23 04:33:46 - mmengine - INFO - Epoch(val) [55][260/310] eta: 0:00:11 time: 0.2381 data_time: 0.1652 memory: 1428 2022/07/23 04:33:49 - mmengine - INFO - Epoch(val) [55][280/310] eta: 0:00:05 time: 0.1760 data_time: 0.1025 memory: 1428 2022/07/23 04:33:52 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:01 time: 0.1652 data_time: 0.1043 memory: 1428 2022/07/23 04:33:55 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.6497 acc/top5: 0.8559 acc/mean1: 0.6496 2022/07/23 04:33:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_55.pth is removed 2022/07/23 04:33:58 - mmengine - INFO - The best checkpoint with 0.6497 acc/top1 at 56 epoch is saved to best_acc/top1_epoch_56.pth. 2022/07/23 04:34:03 - mmengine - INFO - Epoch(train) [56][20/3757] lr: 1.0000e-03 eta: 10:59:37 time: 0.2689 data_time: 0.0723 memory: 6108 grad_norm: 7.0575 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4931 loss: 1.4931 2022/07/23 04:34:08 - mmengine - INFO - Epoch(train) [56][40/3757] lr: 1.0000e-03 eta: 10:59:32 time: 0.2334 data_time: 0.0232 memory: 6108 grad_norm: 6.8483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3787 loss: 1.3787 2022/07/23 04:34:13 - mmengine - INFO - Epoch(train) [56][60/3757] lr: 1.0000e-03 eta: 10:59:28 time: 0.2501 data_time: 0.0202 memory: 6108 grad_norm: 6.6076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2013 loss: 1.2013 2022/07/23 04:34:17 - mmengine - INFO - Epoch(train) [56][80/3757] lr: 1.0000e-03 eta: 10:59:23 time: 0.2265 data_time: 0.0236 memory: 6108 grad_norm: 6.7050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3354 loss: 1.3354 2022/07/23 04:34:22 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 1.0000e-03 eta: 10:59:18 time: 0.2274 data_time: 0.0246 memory: 6108 grad_norm: 6.8567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5667 loss: 1.5667 2022/07/23 04:34:26 - mmengine - INFO - Epoch(train) [56][120/3757] lr: 1.0000e-03 eta: 10:59:13 time: 0.2265 data_time: 0.0209 memory: 6108 grad_norm: 6.9147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3709 loss: 1.3709 2022/07/23 04:34:31 - mmengine - INFO - Epoch(train) [56][140/3757] lr: 1.0000e-03 eta: 10:59:09 time: 0.2474 data_time: 0.0217 memory: 6108 grad_norm: 6.8644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/07/23 04:34:36 - mmengine - INFO - Epoch(train) [56][160/3757] lr: 1.0000e-03 eta: 10:59:04 time: 0.2244 data_time: 0.0254 memory: 6108 grad_norm: 6.8612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/07/23 04:34:40 - mmengine - INFO - Epoch(train) [56][180/3757] lr: 1.0000e-03 eta: 10:58:59 time: 0.2293 data_time: 0.0228 memory: 6108 grad_norm: 6.9440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5855 loss: 1.5855 2022/07/23 04:34:45 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 1.0000e-03 eta: 10:58:55 time: 0.2385 data_time: 0.0213 memory: 6108 grad_norm: 7.0261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6137 loss: 1.6137 2022/07/23 04:34:50 - mmengine - INFO - Epoch(train) [56][220/3757] lr: 1.0000e-03 eta: 10:58:50 time: 0.2262 data_time: 0.0277 memory: 6108 grad_norm: 6.9263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2836 loss: 1.2836 2022/07/23 04:34:55 - mmengine - INFO - Epoch(train) [56][240/3757] lr: 1.0000e-03 eta: 10:58:45 time: 0.2398 data_time: 0.0224 memory: 6108 grad_norm: 6.5550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1802 loss: 1.1802 2022/07/23 04:34:59 - mmengine - INFO - Epoch(train) [56][260/3757] lr: 1.0000e-03 eta: 10:58:40 time: 0.2269 data_time: 0.0176 memory: 6108 grad_norm: 6.7217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2331 loss: 1.2331 2022/07/23 04:35:04 - mmengine - INFO - Epoch(train) [56][280/3757] lr: 1.0000e-03 eta: 10:58:36 time: 0.2354 data_time: 0.0210 memory: 6108 grad_norm: 6.8353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/07/23 04:35:09 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 1.0000e-03 eta: 10:58:31 time: 0.2418 data_time: 0.0195 memory: 6108 grad_norm: 6.9245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/07/23 04:35:14 - mmengine - INFO - Epoch(train) [56][320/3757] lr: 1.0000e-03 eta: 10:58:27 time: 0.2408 data_time: 0.0231 memory: 6108 grad_norm: 6.9570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3647 loss: 1.3647 2022/07/23 04:35:18 - mmengine - INFO - Epoch(train) [56][340/3757] lr: 1.0000e-03 eta: 10:58:22 time: 0.2271 data_time: 0.0220 memory: 6108 grad_norm: 6.8733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/07/23 04:35:23 - mmengine - INFO - Epoch(train) [56][360/3757] lr: 1.0000e-03 eta: 10:58:17 time: 0.2312 data_time: 0.0261 memory: 6108 grad_norm: 6.9063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/07/23 04:35:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:35:28 - mmengine - INFO - Epoch(train) [56][380/3757] lr: 1.0000e-03 eta: 10:58:13 time: 0.2429 data_time: 0.0229 memory: 6108 grad_norm: 6.9348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3464 loss: 1.3464 2022/07/23 04:35:32 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 1.0000e-03 eta: 10:58:08 time: 0.2359 data_time: 0.0177 memory: 6108 grad_norm: 7.0161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/07/23 04:35:37 - mmengine - INFO - Epoch(train) [56][420/3757] lr: 1.0000e-03 eta: 10:58:03 time: 0.2353 data_time: 0.0195 memory: 6108 grad_norm: 6.8226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4675 loss: 1.4675 2022/07/23 04:35:42 - mmengine - INFO - Epoch(train) [56][440/3757] lr: 1.0000e-03 eta: 10:57:58 time: 0.2241 data_time: 0.0215 memory: 6108 grad_norm: 6.9628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4363 loss: 1.4363 2022/07/23 04:35:47 - mmengine - INFO - Epoch(train) [56][460/3757] lr: 1.0000e-03 eta: 10:57:54 time: 0.2466 data_time: 0.0225 memory: 6108 grad_norm: 7.0273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3969 loss: 1.3969 2022/07/23 04:35:52 - mmengine - INFO - Epoch(train) [56][480/3757] lr: 1.0000e-03 eta: 10:57:49 time: 0.2481 data_time: 0.0250 memory: 6108 grad_norm: 7.0643 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5677 loss: 1.5677 2022/07/23 04:35:56 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 1.0000e-03 eta: 10:57:45 time: 0.2280 data_time: 0.0253 memory: 6108 grad_norm: 7.0530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5703 loss: 1.5703 2022/07/23 04:36:01 - mmengine - INFO - Epoch(train) [56][520/3757] lr: 1.0000e-03 eta: 10:57:40 time: 0.2296 data_time: 0.0201 memory: 6108 grad_norm: 6.7994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3109 loss: 1.3109 2022/07/23 04:36:05 - mmengine - INFO - Epoch(train) [56][540/3757] lr: 1.0000e-03 eta: 10:57:35 time: 0.2293 data_time: 0.0234 memory: 6108 grad_norm: 6.9839 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4927 loss: 1.4927 2022/07/23 04:36:10 - mmengine - INFO - Epoch(train) [56][560/3757] lr: 1.0000e-03 eta: 10:57:30 time: 0.2260 data_time: 0.0227 memory: 6108 grad_norm: 7.1318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4193 loss: 1.4193 2022/07/23 04:36:15 - mmengine - INFO - Epoch(train) [56][580/3757] lr: 1.0000e-03 eta: 10:57:26 time: 0.2355 data_time: 0.0234 memory: 6108 grad_norm: 7.0684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/07/23 04:36:20 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 1.0000e-03 eta: 10:57:21 time: 0.2545 data_time: 0.0239 memory: 6108 grad_norm: 7.0186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2429 loss: 1.2429 2022/07/23 04:36:24 - mmengine - INFO - Epoch(train) [56][620/3757] lr: 1.0000e-03 eta: 10:57:16 time: 0.2245 data_time: 0.0187 memory: 6108 grad_norm: 6.9869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4118 loss: 1.4118 2022/07/23 04:36:29 - mmengine - INFO - Epoch(train) [56][640/3757] lr: 1.0000e-03 eta: 10:57:12 time: 0.2343 data_time: 0.0255 memory: 6108 grad_norm: 6.9840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4986 loss: 1.4986 2022/07/23 04:36:34 - mmengine - INFO - Epoch(train) [56][660/3757] lr: 1.0000e-03 eta: 10:57:08 time: 0.2611 data_time: 0.0241 memory: 6108 grad_norm: 6.9651 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3469 loss: 1.3469 2022/07/23 04:36:39 - mmengine - INFO - Epoch(train) [56][680/3757] lr: 1.0000e-03 eta: 10:57:03 time: 0.2293 data_time: 0.0224 memory: 6108 grad_norm: 6.9841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3578 loss: 1.3578 2022/07/23 04:36:43 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 1.0000e-03 eta: 10:56:58 time: 0.2285 data_time: 0.0219 memory: 6108 grad_norm: 6.9764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3320 loss: 1.3320 2022/07/23 04:36:48 - mmengine - INFO - Epoch(train) [56][720/3757] lr: 1.0000e-03 eta: 10:56:53 time: 0.2276 data_time: 0.0209 memory: 6108 grad_norm: 7.0553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3218 loss: 1.3218 2022/07/23 04:36:53 - mmengine - INFO - Epoch(train) [56][740/3757] lr: 1.0000e-03 eta: 10:56:49 time: 0.2405 data_time: 0.0257 memory: 6108 grad_norm: 7.1743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2373 loss: 1.2373 2022/07/23 04:36:57 - mmengine - INFO - Epoch(train) [56][760/3757] lr: 1.0000e-03 eta: 10:56:44 time: 0.2259 data_time: 0.0196 memory: 6108 grad_norm: 7.1057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3813 loss: 1.3813 2022/07/23 04:37:02 - mmengine - INFO - Epoch(train) [56][780/3757] lr: 1.0000e-03 eta: 10:56:39 time: 0.2407 data_time: 0.0254 memory: 6108 grad_norm: 7.1073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/07/23 04:37:07 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 1.0000e-03 eta: 10:56:34 time: 0.2245 data_time: 0.0256 memory: 6108 grad_norm: 7.1672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6560 loss: 1.6560 2022/07/23 04:37:12 - mmengine - INFO - Epoch(train) [56][820/3757] lr: 1.0000e-03 eta: 10:56:30 time: 0.2514 data_time: 0.0239 memory: 6108 grad_norm: 6.7987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3277 loss: 1.3277 2022/07/23 04:37:16 - mmengine - INFO - Epoch(train) [56][840/3757] lr: 1.0000e-03 eta: 10:56:25 time: 0.2280 data_time: 0.0229 memory: 6108 grad_norm: 7.0785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3444 loss: 1.3444 2022/07/23 04:37:21 - mmengine - INFO - Epoch(train) [56][860/3757] lr: 1.0000e-03 eta: 10:56:20 time: 0.2289 data_time: 0.0220 memory: 6108 grad_norm: 7.0387 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5702 loss: 1.5702 2022/07/23 04:37:25 - mmengine - INFO - Epoch(train) [56][880/3757] lr: 1.0000e-03 eta: 10:56:16 time: 0.2285 data_time: 0.0209 memory: 6108 grad_norm: 7.1532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4135 loss: 1.4135 2022/07/23 04:37:30 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 1.0000e-03 eta: 10:56:11 time: 0.2285 data_time: 0.0208 memory: 6108 grad_norm: 6.7385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6565 loss: 1.6565 2022/07/23 04:37:35 - mmengine - INFO - Epoch(train) [56][920/3757] lr: 1.0000e-03 eta: 10:56:06 time: 0.2378 data_time: 0.0202 memory: 6108 grad_norm: 6.8499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/07/23 04:37:39 - mmengine - INFO - Epoch(train) [56][940/3757] lr: 1.0000e-03 eta: 10:56:01 time: 0.2258 data_time: 0.0214 memory: 6108 grad_norm: 6.8691 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3324 loss: 1.3324 2022/07/23 04:37:45 - mmengine - INFO - Epoch(train) [56][960/3757] lr: 1.0000e-03 eta: 10:55:57 time: 0.2565 data_time: 0.0214 memory: 6108 grad_norm: 6.9612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/07/23 04:37:49 - mmengine - INFO - Epoch(train) [56][980/3757] lr: 1.0000e-03 eta: 10:55:52 time: 0.2251 data_time: 0.0284 memory: 6108 grad_norm: 6.9862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1319 loss: 1.1319 2022/07/23 04:37:54 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 1.0000e-03 eta: 10:55:48 time: 0.2420 data_time: 0.0287 memory: 6108 grad_norm: 7.1954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4137 loss: 1.4137 2022/07/23 04:37:59 - mmengine - INFO - Epoch(train) [56][1020/3757] lr: 1.0000e-03 eta: 10:55:43 time: 0.2296 data_time: 0.0249 memory: 6108 grad_norm: 6.9928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/07/23 04:38:03 - mmengine - INFO - Epoch(train) [56][1040/3757] lr: 1.0000e-03 eta: 10:55:38 time: 0.2276 data_time: 0.0257 memory: 6108 grad_norm: 6.9591 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3448 loss: 1.3448 2022/07/23 04:38:08 - mmengine - INFO - Epoch(train) [56][1060/3757] lr: 1.0000e-03 eta: 10:55:33 time: 0.2284 data_time: 0.0224 memory: 6108 grad_norm: 7.0503 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4091 loss: 1.4091 2022/07/23 04:38:12 - mmengine - INFO - Epoch(train) [56][1080/3757] lr: 1.0000e-03 eta: 10:55:29 time: 0.2364 data_time: 0.0308 memory: 6108 grad_norm: 7.1158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4111 loss: 1.4111 2022/07/23 04:38:17 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 1.0000e-03 eta: 10:55:24 time: 0.2257 data_time: 0.0234 memory: 6108 grad_norm: 6.8888 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6559 loss: 1.6559 2022/07/23 04:38:22 - mmengine - INFO - Epoch(train) [56][1120/3757] lr: 1.0000e-03 eta: 10:55:19 time: 0.2253 data_time: 0.0264 memory: 6108 grad_norm: 6.9496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2584 loss: 1.2584 2022/07/23 04:38:26 - mmengine - INFO - Epoch(train) [56][1140/3757] lr: 1.0000e-03 eta: 10:55:14 time: 0.2268 data_time: 0.0248 memory: 6108 grad_norm: 6.8415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3681 loss: 1.3681 2022/07/23 04:38:31 - mmengine - INFO - Epoch(train) [56][1160/3757] lr: 1.0000e-03 eta: 10:55:10 time: 0.2254 data_time: 0.0209 memory: 6108 grad_norm: 6.8395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4361 loss: 1.4361 2022/07/23 04:38:36 - mmengine - INFO - Epoch(train) [56][1180/3757] lr: 1.0000e-03 eta: 10:55:05 time: 0.2648 data_time: 0.0202 memory: 6108 grad_norm: 7.2112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3420 loss: 1.3420 2022/07/23 04:38:40 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 1.0000e-03 eta: 10:55:01 time: 0.2266 data_time: 0.0239 memory: 6108 grad_norm: 6.7346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/07/23 04:38:45 - mmengine - INFO - Epoch(train) [56][1220/3757] lr: 1.0000e-03 eta: 10:54:56 time: 0.2258 data_time: 0.0181 memory: 6108 grad_norm: 6.9991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1909 loss: 1.1909 2022/07/23 04:38:49 - mmengine - INFO - Epoch(train) [56][1240/3757] lr: 1.0000e-03 eta: 10:54:51 time: 0.2232 data_time: 0.0191 memory: 6108 grad_norm: 7.2668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/07/23 04:38:54 - mmengine - INFO - Epoch(train) [56][1260/3757] lr: 1.0000e-03 eta: 10:54:46 time: 0.2469 data_time: 0.0272 memory: 6108 grad_norm: 6.7468 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4804 loss: 1.4804 2022/07/23 04:38:59 - mmengine - INFO - Epoch(train) [56][1280/3757] lr: 1.0000e-03 eta: 10:54:42 time: 0.2255 data_time: 0.0248 memory: 6108 grad_norm: 6.9244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/07/23 04:39:04 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 1.0000e-03 eta: 10:54:37 time: 0.2272 data_time: 0.0268 memory: 6108 grad_norm: 7.5412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3412 loss: 1.3412 2022/07/23 04:39:08 - mmengine - INFO - Epoch(train) [56][1320/3757] lr: 1.0000e-03 eta: 10:54:32 time: 0.2290 data_time: 0.0238 memory: 6108 grad_norm: 7.0447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4254 loss: 1.4254 2022/07/23 04:39:13 - mmengine - INFO - Epoch(train) [56][1340/3757] lr: 1.0000e-03 eta: 10:54:27 time: 0.2427 data_time: 0.0211 memory: 6108 grad_norm: 7.0921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1753 loss: 1.1753 2022/07/23 04:39:17 - mmengine - INFO - Epoch(train) [56][1360/3757] lr: 1.0000e-03 eta: 10:54:23 time: 0.2228 data_time: 0.0244 memory: 6108 grad_norm: 7.2927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5439 loss: 1.5439 2022/07/23 04:39:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:39:22 - mmengine - INFO - Epoch(train) [56][1380/3757] lr: 1.0000e-03 eta: 10:54:18 time: 0.2431 data_time: 0.0234 memory: 6108 grad_norm: 6.9599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4179 loss: 1.4179 2022/07/23 04:39:27 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 1.0000e-03 eta: 10:54:13 time: 0.2420 data_time: 0.0213 memory: 6108 grad_norm: 7.0753 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/07/23 04:39:32 - mmengine - INFO - Epoch(train) [56][1420/3757] lr: 1.0000e-03 eta: 10:54:09 time: 0.2495 data_time: 0.0256 memory: 6108 grad_norm: 7.2086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/07/23 04:39:37 - mmengine - INFO - Epoch(train) [56][1440/3757] lr: 1.0000e-03 eta: 10:54:04 time: 0.2257 data_time: 0.0238 memory: 6108 grad_norm: 7.0000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/07/23 04:39:41 - mmengine - INFO - Epoch(train) [56][1460/3757] lr: 1.0000e-03 eta: 10:53:59 time: 0.2279 data_time: 0.0185 memory: 6108 grad_norm: 6.9716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4900 loss: 1.4900 2022/07/23 04:39:46 - mmengine - INFO - Epoch(train) [56][1480/3757] lr: 1.0000e-03 eta: 10:53:55 time: 0.2247 data_time: 0.0269 memory: 6108 grad_norm: 7.1606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/07/23 04:39:50 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 1.0000e-03 eta: 10:53:50 time: 0.2294 data_time: 0.0239 memory: 6108 grad_norm: 7.1330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4910 loss: 1.4910 2022/07/23 04:39:55 - mmengine - INFO - Epoch(train) [56][1520/3757] lr: 1.0000e-03 eta: 10:53:45 time: 0.2299 data_time: 0.0207 memory: 6108 grad_norm: 6.9422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/07/23 04:40:00 - mmengine - INFO - Epoch(train) [56][1540/3757] lr: 1.0000e-03 eta: 10:53:40 time: 0.2248 data_time: 0.0240 memory: 6108 grad_norm: 7.3417 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5688 loss: 1.5688 2022/07/23 04:40:05 - mmengine - INFO - Epoch(train) [56][1560/3757] lr: 1.0000e-03 eta: 10:53:36 time: 0.2656 data_time: 0.0204 memory: 6108 grad_norm: 6.8147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4533 loss: 1.4533 2022/07/23 04:40:09 - mmengine - INFO - Epoch(train) [56][1580/3757] lr: 1.0000e-03 eta: 10:53:31 time: 0.2237 data_time: 0.0229 memory: 6108 grad_norm: 7.2014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2617 loss: 1.2617 2022/07/23 04:40:14 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 1.0000e-03 eta: 10:53:27 time: 0.2370 data_time: 0.0268 memory: 6108 grad_norm: 7.3761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3937 loss: 1.3937 2022/07/23 04:40:19 - mmengine - INFO - Epoch(train) [56][1620/3757] lr: 1.0000e-03 eta: 10:53:22 time: 0.2280 data_time: 0.0209 memory: 6108 grad_norm: 7.0148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5326 loss: 1.5326 2022/07/23 04:40:23 - mmengine - INFO - Epoch(train) [56][1640/3757] lr: 1.0000e-03 eta: 10:53:17 time: 0.2274 data_time: 0.0212 memory: 6108 grad_norm: 6.8420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4041 loss: 1.4041 2022/07/23 04:40:28 - mmengine - INFO - Epoch(train) [56][1660/3757] lr: 1.0000e-03 eta: 10:53:12 time: 0.2224 data_time: 0.0255 memory: 6108 grad_norm: 7.0064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4509 loss: 1.4509 2022/07/23 04:40:33 - mmengine - INFO - Epoch(train) [56][1680/3757] lr: 1.0000e-03 eta: 10:53:08 time: 0.2408 data_time: 0.0283 memory: 6108 grad_norm: 7.2789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5355 loss: 1.5355 2022/07/23 04:40:37 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 1.0000e-03 eta: 10:53:03 time: 0.2249 data_time: 0.0204 memory: 6108 grad_norm: 6.7572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2975 loss: 1.2975 2022/07/23 04:40:42 - mmengine - INFO - Epoch(train) [56][1720/3757] lr: 1.0000e-03 eta: 10:52:58 time: 0.2314 data_time: 0.0207 memory: 6108 grad_norm: 7.0510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5736 loss: 1.5736 2022/07/23 04:40:46 - mmengine - INFO - Epoch(train) [56][1740/3757] lr: 1.0000e-03 eta: 10:52:53 time: 0.2273 data_time: 0.0210 memory: 6108 grad_norm: 7.3370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6563 loss: 1.6563 2022/07/23 04:40:51 - mmengine - INFO - Epoch(train) [56][1760/3757] lr: 1.0000e-03 eta: 10:52:48 time: 0.2275 data_time: 0.0260 memory: 6108 grad_norm: 7.1880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3512 loss: 1.3512 2022/07/23 04:40:56 - mmengine - INFO - Epoch(train) [56][1780/3757] lr: 1.0000e-03 eta: 10:52:44 time: 0.2465 data_time: 0.0320 memory: 6108 grad_norm: 7.3095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4887 loss: 1.4887 2022/07/23 04:41:01 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 1.0000e-03 eta: 10:52:39 time: 0.2326 data_time: 0.0323 memory: 6108 grad_norm: 7.2637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2888 loss: 1.2888 2022/07/23 04:41:06 - mmengine - INFO - Epoch(train) [56][1820/3757] lr: 1.0000e-03 eta: 10:52:35 time: 0.2489 data_time: 0.0172 memory: 6108 grad_norm: 7.1626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1898 loss: 1.1898 2022/07/23 04:41:10 - mmengine - INFO - Epoch(train) [56][1840/3757] lr: 1.0000e-03 eta: 10:52:30 time: 0.2275 data_time: 0.0206 memory: 6108 grad_norm: 7.1588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3456 loss: 1.3456 2022/07/23 04:41:15 - mmengine - INFO - Epoch(train) [56][1860/3757] lr: 1.0000e-03 eta: 10:52:25 time: 0.2362 data_time: 0.0249 memory: 6108 grad_norm: 7.2005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3624 loss: 1.3624 2022/07/23 04:41:19 - mmengine - INFO - Epoch(train) [56][1880/3757] lr: 1.0000e-03 eta: 10:52:21 time: 0.2295 data_time: 0.0277 memory: 6108 grad_norm: 7.0987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3266 loss: 1.3266 2022/07/23 04:41:24 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 1.0000e-03 eta: 10:52:16 time: 0.2266 data_time: 0.0195 memory: 6108 grad_norm: 7.1186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5518 loss: 1.5518 2022/07/23 04:41:29 - mmengine - INFO - Epoch(train) [56][1920/3757] lr: 1.0000e-03 eta: 10:52:11 time: 0.2485 data_time: 0.0272 memory: 6108 grad_norm: 7.1027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5692 loss: 1.5692 2022/07/23 04:41:34 - mmengine - INFO - Epoch(train) [56][1940/3757] lr: 1.0000e-03 eta: 10:52:07 time: 0.2316 data_time: 0.0231 memory: 6108 grad_norm: 6.7913 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4670 loss: 1.4670 2022/07/23 04:41:38 - mmengine - INFO - Epoch(train) [56][1960/3757] lr: 1.0000e-03 eta: 10:52:02 time: 0.2294 data_time: 0.0272 memory: 6108 grad_norm: 7.4593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3593 loss: 1.3593 2022/07/23 04:41:43 - mmengine - INFO - Epoch(train) [56][1980/3757] lr: 1.0000e-03 eta: 10:51:57 time: 0.2276 data_time: 0.0281 memory: 6108 grad_norm: 7.0662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3654 loss: 1.3654 2022/07/23 04:41:48 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 1.0000e-03 eta: 10:51:52 time: 0.2314 data_time: 0.0208 memory: 6108 grad_norm: 7.0253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4694 loss: 1.4694 2022/07/23 04:41:52 - mmengine - INFO - Epoch(train) [56][2020/3757] lr: 1.0000e-03 eta: 10:51:48 time: 0.2328 data_time: 0.0201 memory: 6108 grad_norm: 7.0341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4397 loss: 1.4397 2022/07/23 04:41:57 - mmengine - INFO - Epoch(train) [56][2040/3757] lr: 1.0000e-03 eta: 10:51:43 time: 0.2486 data_time: 0.0217 memory: 6108 grad_norm: 6.8792 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4522 loss: 1.4522 2022/07/23 04:42:02 - mmengine - INFO - Epoch(train) [56][2060/3757] lr: 1.0000e-03 eta: 10:51:38 time: 0.2272 data_time: 0.0202 memory: 6108 grad_norm: 6.8944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4968 loss: 1.4968 2022/07/23 04:42:06 - mmengine - INFO - Epoch(train) [56][2080/3757] lr: 1.0000e-03 eta: 10:51:34 time: 0.2284 data_time: 0.0180 memory: 6108 grad_norm: 6.8167 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6167 loss: 1.6167 2022/07/23 04:42:11 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 1.0000e-03 eta: 10:51:29 time: 0.2348 data_time: 0.0203 memory: 6108 grad_norm: 7.0155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2955 loss: 1.2955 2022/07/23 04:42:16 - mmengine - INFO - Epoch(train) [56][2120/3757] lr: 1.0000e-03 eta: 10:51:25 time: 0.2601 data_time: 0.0221 memory: 6108 grad_norm: 6.8853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4191 loss: 1.4191 2022/07/23 04:42:21 - mmengine - INFO - Epoch(train) [56][2140/3757] lr: 1.0000e-03 eta: 10:51:20 time: 0.2308 data_time: 0.0316 memory: 6108 grad_norm: 6.8857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1236 loss: 1.1236 2022/07/23 04:42:26 - mmengine - INFO - Epoch(train) [56][2160/3757] lr: 1.0000e-03 eta: 10:51:15 time: 0.2375 data_time: 0.0367 memory: 6108 grad_norm: 7.0081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3386 loss: 1.3386 2022/07/23 04:42:30 - mmengine - INFO - Epoch(train) [56][2180/3757] lr: 1.0000e-03 eta: 10:51:11 time: 0.2266 data_time: 0.0180 memory: 6108 grad_norm: 7.0757 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5292 loss: 1.5292 2022/07/23 04:42:35 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 1.0000e-03 eta: 10:51:06 time: 0.2328 data_time: 0.0265 memory: 6108 grad_norm: 6.9641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2468 loss: 1.2468 2022/07/23 04:42:40 - mmengine - INFO - Epoch(train) [56][2220/3757] lr: 1.0000e-03 eta: 10:51:01 time: 0.2410 data_time: 0.0221 memory: 6108 grad_norm: 6.8389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/07/23 04:42:45 - mmengine - INFO - Epoch(train) [56][2240/3757] lr: 1.0000e-03 eta: 10:50:57 time: 0.2389 data_time: 0.0168 memory: 6108 grad_norm: 7.1823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5793 loss: 1.5793 2022/07/23 04:42:49 - mmengine - INFO - Epoch(train) [56][2260/3757] lr: 1.0000e-03 eta: 10:50:52 time: 0.2281 data_time: 0.0200 memory: 6108 grad_norm: 6.8791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2665 loss: 1.2665 2022/07/23 04:42:54 - mmengine - INFO - Epoch(train) [56][2280/3757] lr: 1.0000e-03 eta: 10:50:47 time: 0.2316 data_time: 0.0256 memory: 6108 grad_norm: 6.7362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5645 loss: 1.5645 2022/07/23 04:42:58 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 1.0000e-03 eta: 10:50:42 time: 0.2249 data_time: 0.0208 memory: 6108 grad_norm: 6.6134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4239 loss: 1.4239 2022/07/23 04:43:03 - mmengine - INFO - Epoch(train) [56][2320/3757] lr: 1.0000e-03 eta: 10:50:38 time: 0.2288 data_time: 0.0220 memory: 6108 grad_norm: 6.8699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/07/23 04:43:08 - mmengine - INFO - Epoch(train) [56][2340/3757] lr: 1.0000e-03 eta: 10:50:33 time: 0.2391 data_time: 0.0278 memory: 6108 grad_norm: 6.9011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3247 loss: 1.3247 2022/07/23 04:43:13 - mmengine - INFO - Epoch(train) [56][2360/3757] lr: 1.0000e-03 eta: 10:50:28 time: 0.2422 data_time: 0.0211 memory: 6108 grad_norm: 6.9291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2873 loss: 1.2873 2022/07/23 04:43:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:43:17 - mmengine - INFO - Epoch(train) [56][2380/3757] lr: 1.0000e-03 eta: 10:50:24 time: 0.2285 data_time: 0.0225 memory: 6108 grad_norm: 6.8053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/07/23 04:43:22 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 1.0000e-03 eta: 10:50:19 time: 0.2317 data_time: 0.0233 memory: 6108 grad_norm: 6.8448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3534 loss: 1.3534 2022/07/23 04:43:27 - mmengine - INFO - Epoch(train) [56][2420/3757] lr: 1.0000e-03 eta: 10:50:14 time: 0.2384 data_time: 0.0332 memory: 6108 grad_norm: 6.8173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1047 loss: 1.1047 2022/07/23 04:43:31 - mmengine - INFO - Epoch(train) [56][2440/3757] lr: 1.0000e-03 eta: 10:50:10 time: 0.2275 data_time: 0.0196 memory: 6108 grad_norm: 6.7977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4575 loss: 1.4575 2022/07/23 04:43:36 - mmengine - INFO - Epoch(train) [56][2460/3757] lr: 1.0000e-03 eta: 10:50:05 time: 0.2271 data_time: 0.0218 memory: 6108 grad_norm: 6.7783 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/07/23 04:43:40 - mmengine - INFO - Epoch(train) [56][2480/3757] lr: 1.0000e-03 eta: 10:50:00 time: 0.2338 data_time: 0.0232 memory: 6108 grad_norm: 7.0297 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3106 loss: 1.3106 2022/07/23 04:43:45 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 1.0000e-03 eta: 10:49:55 time: 0.2367 data_time: 0.0241 memory: 6108 grad_norm: 6.9197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3002 loss: 1.3002 2022/07/23 04:43:50 - mmengine - INFO - Epoch(train) [56][2520/3757] lr: 1.0000e-03 eta: 10:49:51 time: 0.2284 data_time: 0.0306 memory: 6108 grad_norm: 7.3479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3170 loss: 1.3170 2022/07/23 04:43:56 - mmengine - INFO - Epoch(train) [56][2540/3757] lr: 1.0000e-03 eta: 10:49:47 time: 0.2919 data_time: 0.0262 memory: 6108 grad_norm: 6.8709 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3982 loss: 1.3982 2022/07/23 04:44:00 - mmengine - INFO - Epoch(train) [56][2560/3757] lr: 1.0000e-03 eta: 10:49:42 time: 0.2172 data_time: 0.0193 memory: 6108 grad_norm: 7.0985 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4965 loss: 1.4965 2022/07/23 04:44:05 - mmengine - INFO - Epoch(train) [56][2580/3757] lr: 1.0000e-03 eta: 10:49:37 time: 0.2416 data_time: 0.0216 memory: 6108 grad_norm: 6.8431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3631 loss: 1.3631 2022/07/23 04:44:09 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 1.0000e-03 eta: 10:49:33 time: 0.2262 data_time: 0.0193 memory: 6108 grad_norm: 7.1024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3858 loss: 1.3858 2022/07/23 04:44:14 - mmengine - INFO - Epoch(train) [56][2620/3757] lr: 1.0000e-03 eta: 10:49:28 time: 0.2294 data_time: 0.0208 memory: 6108 grad_norm: 6.8359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/07/23 04:44:19 - mmengine - INFO - Epoch(train) [56][2640/3757] lr: 1.0000e-03 eta: 10:49:23 time: 0.2252 data_time: 0.0223 memory: 6108 grad_norm: 6.8088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3176 loss: 1.3176 2022/07/23 04:44:24 - mmengine - INFO - Epoch(train) [56][2660/3757] lr: 1.0000e-03 eta: 10:49:19 time: 0.2497 data_time: 0.0270 memory: 6108 grad_norm: 7.1771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/07/23 04:44:28 - mmengine - INFO - Epoch(train) [56][2680/3757] lr: 1.0000e-03 eta: 10:49:14 time: 0.2291 data_time: 0.0227 memory: 6108 grad_norm: 7.0288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3655 loss: 1.3655 2022/07/23 04:44:33 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 1.0000e-03 eta: 10:49:09 time: 0.2497 data_time: 0.0239 memory: 6108 grad_norm: 7.2594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3030 loss: 1.3030 2022/07/23 04:44:38 - mmengine - INFO - Epoch(train) [56][2720/3757] lr: 1.0000e-03 eta: 10:49:04 time: 0.2224 data_time: 0.0174 memory: 6108 grad_norm: 6.8408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4278 loss: 1.4278 2022/07/23 04:44:43 - mmengine - INFO - Epoch(train) [56][2740/3757] lr: 1.0000e-03 eta: 10:49:00 time: 0.2612 data_time: 0.0236 memory: 6108 grad_norm: 7.2745 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6039 loss: 1.6039 2022/07/23 04:44:47 - mmengine - INFO - Epoch(train) [56][2760/3757] lr: 1.0000e-03 eta: 10:48:55 time: 0.2249 data_time: 0.0294 memory: 6108 grad_norm: 7.0161 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3600 loss: 1.3600 2022/07/23 04:44:52 - mmengine - INFO - Epoch(train) [56][2780/3757] lr: 1.0000e-03 eta: 10:48:51 time: 0.2280 data_time: 0.0180 memory: 6108 grad_norm: 6.9920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3554 loss: 1.3554 2022/07/23 04:44:57 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 1.0000e-03 eta: 10:48:46 time: 0.2435 data_time: 0.0209 memory: 6108 grad_norm: 6.9761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2218 loss: 1.2218 2022/07/23 04:45:01 - mmengine - INFO - Epoch(train) [56][2820/3757] lr: 1.0000e-03 eta: 10:48:41 time: 0.2247 data_time: 0.0186 memory: 6108 grad_norm: 7.2809 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4228 loss: 1.4228 2022/07/23 04:45:06 - mmengine - INFO - Epoch(train) [56][2840/3757] lr: 1.0000e-03 eta: 10:48:37 time: 0.2317 data_time: 0.0230 memory: 6108 grad_norm: 7.4820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4089 loss: 1.4089 2022/07/23 04:45:11 - mmengine - INFO - Epoch(train) [56][2860/3757] lr: 1.0000e-03 eta: 10:48:32 time: 0.2421 data_time: 0.0236 memory: 6108 grad_norm: 7.6187 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4550 loss: 1.4550 2022/07/23 04:45:16 - mmengine - INFO - Epoch(train) [56][2880/3757] lr: 1.0000e-03 eta: 10:48:27 time: 0.2302 data_time: 0.0207 memory: 6108 grad_norm: 7.0203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5108 loss: 1.5108 2022/07/23 04:45:20 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 1.0000e-03 eta: 10:48:22 time: 0.2276 data_time: 0.0219 memory: 6108 grad_norm: 7.0201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4456 loss: 1.4456 2022/07/23 04:45:25 - mmengine - INFO - Epoch(train) [56][2920/3757] lr: 1.0000e-03 eta: 10:48:18 time: 0.2288 data_time: 0.0199 memory: 6108 grad_norm: 7.1740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6223 loss: 1.6223 2022/07/23 04:45:29 - mmengine - INFO - Epoch(train) [56][2940/3757] lr: 1.0000e-03 eta: 10:48:13 time: 0.2315 data_time: 0.0196 memory: 6108 grad_norm: 7.1171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2981 loss: 1.2981 2022/07/23 04:45:34 - mmengine - INFO - Epoch(train) [56][2960/3757] lr: 1.0000e-03 eta: 10:48:08 time: 0.2396 data_time: 0.0258 memory: 6108 grad_norm: 7.0570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4624 loss: 1.4624 2022/07/23 04:45:39 - mmengine - INFO - Epoch(train) [56][2980/3757] lr: 1.0000e-03 eta: 10:48:04 time: 0.2279 data_time: 0.0275 memory: 6108 grad_norm: 7.0261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/07/23 04:45:43 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 1.0000e-03 eta: 10:47:59 time: 0.2328 data_time: 0.0255 memory: 6108 grad_norm: 6.9225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/07/23 04:45:48 - mmengine - INFO - Epoch(train) [56][3020/3757] lr: 1.0000e-03 eta: 10:47:54 time: 0.2276 data_time: 0.0278 memory: 6108 grad_norm: 7.2625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6691 loss: 1.6691 2022/07/23 04:45:53 - mmengine - INFO - Epoch(train) [56][3040/3757] lr: 1.0000e-03 eta: 10:47:50 time: 0.2755 data_time: 0.0519 memory: 6108 grad_norm: 6.8405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4617 loss: 1.4617 2022/07/23 04:45:58 - mmengine - INFO - Epoch(train) [56][3060/3757] lr: 1.0000e-03 eta: 10:47:45 time: 0.2196 data_time: 0.0197 memory: 6108 grad_norm: 7.0574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5679 loss: 1.5679 2022/07/23 04:46:02 - mmengine - INFO - Epoch(train) [56][3080/3757] lr: 1.0000e-03 eta: 10:47:40 time: 0.2270 data_time: 0.0218 memory: 6108 grad_norm: 7.3870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4890 loss: 1.4890 2022/07/23 04:46:07 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 1.0000e-03 eta: 10:47:36 time: 0.2334 data_time: 0.0258 memory: 6108 grad_norm: 7.1073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4851 loss: 1.4851 2022/07/23 04:46:12 - mmengine - INFO - Epoch(train) [56][3120/3757] lr: 1.0000e-03 eta: 10:47:31 time: 0.2282 data_time: 0.0193 memory: 6108 grad_norm: 7.1090 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5633 loss: 1.5633 2022/07/23 04:46:17 - mmengine - INFO - Epoch(train) [56][3140/3757] lr: 1.0000e-03 eta: 10:47:26 time: 0.2418 data_time: 0.0226 memory: 6108 grad_norm: 7.0250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5434 loss: 1.5434 2022/07/23 04:46:21 - mmengine - INFO - Epoch(train) [56][3160/3757] lr: 1.0000e-03 eta: 10:47:22 time: 0.2285 data_time: 0.0283 memory: 6108 grad_norm: 6.8059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3833 loss: 1.3833 2022/07/23 04:46:26 - mmengine - INFO - Epoch(train) [56][3180/3757] lr: 1.0000e-03 eta: 10:47:17 time: 0.2299 data_time: 0.0288 memory: 6108 grad_norm: 7.2131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3128 loss: 1.3128 2022/07/23 04:46:31 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 1.0000e-03 eta: 10:47:12 time: 0.2545 data_time: 0.0183 memory: 6108 grad_norm: 6.9899 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4436 loss: 1.4436 2022/07/23 04:46:36 - mmengine - INFO - Epoch(train) [56][3220/3757] lr: 1.0000e-03 eta: 10:47:08 time: 0.2328 data_time: 0.0320 memory: 6108 grad_norm: 7.1869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5149 loss: 1.5149 2022/07/23 04:46:40 - mmengine - INFO - Epoch(train) [56][3240/3757] lr: 1.0000e-03 eta: 10:47:03 time: 0.2257 data_time: 0.0248 memory: 6108 grad_norm: 7.1344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7463 loss: 1.7463 2022/07/23 04:46:45 - mmengine - INFO - Epoch(train) [56][3260/3757] lr: 1.0000e-03 eta: 10:46:58 time: 0.2324 data_time: 0.0194 memory: 6108 grad_norm: 7.0383 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3034 loss: 1.3034 2022/07/23 04:46:49 - mmengine - INFO - Epoch(train) [56][3280/3757] lr: 1.0000e-03 eta: 10:46:53 time: 0.2254 data_time: 0.0265 memory: 6108 grad_norm: 6.8759 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5032 loss: 1.5032 2022/07/23 04:46:54 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 1.0000e-03 eta: 10:46:49 time: 0.2485 data_time: 0.0196 memory: 6108 grad_norm: 7.2242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8395 loss: 1.8395 2022/07/23 04:46:59 - mmengine - INFO - Epoch(train) [56][3320/3757] lr: 1.0000e-03 eta: 10:46:44 time: 0.2291 data_time: 0.0201 memory: 6108 grad_norm: 7.0866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6362 loss: 1.6362 2022/07/23 04:47:03 - mmengine - INFO - Epoch(train) [56][3340/3757] lr: 1.0000e-03 eta: 10:46:39 time: 0.2259 data_time: 0.0255 memory: 6108 grad_norm: 6.8720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1098 loss: 1.1098 2022/07/23 04:47:08 - mmengine - INFO - Epoch(train) [56][3360/3757] lr: 1.0000e-03 eta: 10:46:35 time: 0.2258 data_time: 0.0244 memory: 6108 grad_norm: 7.0896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2387 loss: 1.2387 2022/07/23 04:47:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:47:13 - mmengine - INFO - Epoch(train) [56][3380/3757] lr: 1.0000e-03 eta: 10:46:30 time: 0.2447 data_time: 0.0372 memory: 6108 grad_norm: 7.0981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/07/23 04:47:17 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 1.0000e-03 eta: 10:46:25 time: 0.2257 data_time: 0.0251 memory: 6108 grad_norm: 6.9934 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4587 loss: 1.4587 2022/07/23 04:47:22 - mmengine - INFO - Epoch(train) [56][3420/3757] lr: 1.0000e-03 eta: 10:46:20 time: 0.2263 data_time: 0.0233 memory: 6108 grad_norm: 7.1241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3718 loss: 1.3718 2022/07/23 04:47:26 - mmengine - INFO - Epoch(train) [56][3440/3757] lr: 1.0000e-03 eta: 10:46:16 time: 0.2227 data_time: 0.0220 memory: 6108 grad_norm: 7.0929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3137 loss: 1.3137 2022/07/23 04:47:31 - mmengine - INFO - Epoch(train) [56][3460/3757] lr: 1.0000e-03 eta: 10:46:11 time: 0.2355 data_time: 0.0237 memory: 6108 grad_norm: 6.9984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2731 loss: 1.2731 2022/07/23 04:47:36 - mmengine - INFO - Epoch(train) [56][3480/3757] lr: 1.0000e-03 eta: 10:46:06 time: 0.2409 data_time: 0.0183 memory: 6108 grad_norm: 7.1511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3391 loss: 1.3391 2022/07/23 04:47:41 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 1.0000e-03 eta: 10:46:02 time: 0.2534 data_time: 0.0373 memory: 6108 grad_norm: 6.9932 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4567 loss: 1.4567 2022/07/23 04:47:46 - mmengine - INFO - Epoch(train) [56][3520/3757] lr: 1.0000e-03 eta: 10:45:57 time: 0.2409 data_time: 0.0387 memory: 6108 grad_norm: 7.1204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/07/23 04:47:51 - mmengine - INFO - Epoch(train) [56][3540/3757] lr: 1.0000e-03 eta: 10:45:53 time: 0.2264 data_time: 0.0233 memory: 6108 grad_norm: 6.9281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/07/23 04:47:55 - mmengine - INFO - Epoch(train) [56][3560/3757] lr: 1.0000e-03 eta: 10:45:48 time: 0.2394 data_time: 0.0206 memory: 6108 grad_norm: 6.9824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6651 loss: 1.6651 2022/07/23 04:48:00 - mmengine - INFO - Epoch(train) [56][3580/3757] lr: 1.0000e-03 eta: 10:45:43 time: 0.2338 data_time: 0.0247 memory: 6108 grad_norm: 7.3164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4520 loss: 1.4520 2022/07/23 04:48:05 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 1.0000e-03 eta: 10:45:38 time: 0.2256 data_time: 0.0251 memory: 6108 grad_norm: 7.2355 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3414 loss: 1.3414 2022/07/23 04:48:09 - mmengine - INFO - Epoch(train) [56][3620/3757] lr: 1.0000e-03 eta: 10:45:34 time: 0.2223 data_time: 0.0211 memory: 6108 grad_norm: 7.3168 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3413 loss: 1.3413 2022/07/23 04:48:14 - mmengine - INFO - Epoch(train) [56][3640/3757] lr: 1.0000e-03 eta: 10:45:29 time: 0.2514 data_time: 0.0242 memory: 6108 grad_norm: 7.2686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2720 loss: 1.2720 2022/07/23 04:48:19 - mmengine - INFO - Epoch(train) [56][3660/3757] lr: 1.0000e-03 eta: 10:45:24 time: 0.2217 data_time: 0.0209 memory: 6108 grad_norm: 7.0758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/07/23 04:48:23 - mmengine - INFO - Epoch(train) [56][3680/3757] lr: 1.0000e-03 eta: 10:45:19 time: 0.2262 data_time: 0.0199 memory: 6108 grad_norm: 7.0213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1196 loss: 1.1196 2022/07/23 04:48:28 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 1.0000e-03 eta: 10:45:15 time: 0.2277 data_time: 0.0222 memory: 6108 grad_norm: 6.9331 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2788 loss: 1.2788 2022/07/23 04:48:32 - mmengine - INFO - Epoch(train) [56][3720/3757] lr: 1.0000e-03 eta: 10:45:10 time: 0.2404 data_time: 0.0230 memory: 6108 grad_norm: 7.3268 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4716 loss: 1.4716 2022/07/23 04:48:37 - mmengine - INFO - Epoch(train) [56][3740/3757] lr: 1.0000e-03 eta: 10:45:06 time: 0.2445 data_time: 0.0201 memory: 6108 grad_norm: 7.0855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4411 loss: 1.4411 2022/07/23 04:48:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:48:41 - mmengine - INFO - Epoch(train) [56][3757/3757] lr: 1.0000e-03 eta: 10:45:06 time: 0.1952 data_time: 0.0163 memory: 6108 grad_norm: 7.2444 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3344 loss: 1.3344 2022/07/23 04:48:46 - mmengine - INFO - Epoch(val) [56][20/310] eta: 0:01:20 time: 0.2780 data_time: 0.1990 memory: 1428 2022/07/23 04:48:50 - mmengine - INFO - Epoch(val) [56][40/310] eta: 0:00:49 time: 0.1825 data_time: 0.1051 memory: 1428 2022/07/23 04:48:54 - mmengine - INFO - Epoch(val) [56][60/310] eta: 0:00:57 time: 0.2298 data_time: 0.1528 memory: 1428 2022/07/23 04:48:58 - mmengine - INFO - Epoch(val) [56][80/310] eta: 0:00:46 time: 0.2014 data_time: 0.1246 memory: 1428 2022/07/23 04:49:03 - mmengine - INFO - Epoch(val) [56][100/310] eta: 0:00:47 time: 0.2280 data_time: 0.1536 memory: 1428 2022/07/23 04:49:07 - mmengine - INFO - Epoch(val) [56][120/310] eta: 0:00:37 time: 0.1960 data_time: 0.1221 memory: 1428 2022/07/23 04:49:12 - mmengine - INFO - Epoch(val) [56][140/310] eta: 0:00:39 time: 0.2322 data_time: 0.1576 memory: 1428 2022/07/23 04:49:16 - mmengine - INFO - Epoch(val) [56][160/310] eta: 0:00:34 time: 0.2332 data_time: 0.1584 memory: 1428 2022/07/23 04:49:20 - mmengine - INFO - Epoch(val) [56][180/310] eta: 0:00:26 time: 0.2066 data_time: 0.1333 memory: 1428 2022/07/23 04:49:25 - mmengine - INFO - Epoch(val) [56][200/310] eta: 0:00:23 time: 0.2108 data_time: 0.1366 memory: 1428 2022/07/23 04:49:29 - mmengine - INFO - Epoch(val) [56][220/310] eta: 0:00:20 time: 0.2283 data_time: 0.1568 memory: 1428 2022/07/23 04:49:34 - mmengine - INFO - Epoch(val) [56][240/310] eta: 0:00:15 time: 0.2201 data_time: 0.1244 memory: 1428 2022/07/23 04:49:38 - mmengine - INFO - Epoch(val) [56][260/310] eta: 0:00:11 time: 0.2213 data_time: 0.1461 memory: 1428 2022/07/23 04:49:42 - mmengine - INFO - Epoch(val) [56][280/310] eta: 0:00:05 time: 0.1903 data_time: 0.1173 memory: 1428 2022/07/23 04:49:46 - mmengine - INFO - Epoch(val) [56][300/310] eta: 0:00:02 time: 0.2238 data_time: 0.1519 memory: 1428 2022/07/23 04:49:49 - mmengine - INFO - Epoch(val) [56][310/310] acc/top1: 0.6518 acc/top5: 0.8562 acc/mean1: 0.6517 2022/07/23 04:49:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_56.pth is removed 2022/07/23 04:49:52 - mmengine - INFO - The best checkpoint with 0.6518 acc/top1 at 57 epoch is saved to best_acc/top1_epoch_57.pth. 2022/07/23 04:49:57 - mmengine - INFO - Epoch(train) [57][20/3757] lr: 1.0000e-03 eta: 10:44:54 time: 0.2767 data_time: 0.0810 memory: 6108 grad_norm: 7.2256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4124 loss: 1.4124 2022/07/23 04:50:02 - mmengine - INFO - Epoch(train) [57][40/3757] lr: 1.0000e-03 eta: 10:44:50 time: 0.2308 data_time: 0.0193 memory: 6108 grad_norm: 7.1378 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5842 loss: 1.5842 2022/07/23 04:50:07 - mmengine - INFO - Epoch(train) [57][60/3757] lr: 1.0000e-03 eta: 10:44:45 time: 0.2446 data_time: 0.0229 memory: 6108 grad_norm: 7.2444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3653 loss: 1.3653 2022/07/23 04:50:12 - mmengine - INFO - Epoch(train) [57][80/3757] lr: 1.0000e-03 eta: 10:44:40 time: 0.2312 data_time: 0.0189 memory: 6108 grad_norm: 6.9692 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/07/23 04:50:16 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 1.0000e-03 eta: 10:44:36 time: 0.2462 data_time: 0.0191 memory: 6108 grad_norm: 6.8744 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5029 loss: 1.5029 2022/07/23 04:50:21 - mmengine - INFO - Epoch(train) [57][120/3757] lr: 1.0000e-03 eta: 10:44:31 time: 0.2314 data_time: 0.0261 memory: 6108 grad_norm: 7.4278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4988 loss: 1.4988 2022/07/23 04:50:26 - mmengine - INFO - Epoch(train) [57][140/3757] lr: 1.0000e-03 eta: 10:44:27 time: 0.2460 data_time: 0.0230 memory: 6108 grad_norm: 6.9569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5689 loss: 1.5689 2022/07/23 04:50:31 - mmengine - INFO - Epoch(train) [57][160/3757] lr: 1.0000e-03 eta: 10:44:22 time: 0.2226 data_time: 0.0229 memory: 6108 grad_norm: 6.9012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5980 loss: 1.5980 2022/07/23 04:50:35 - mmengine - INFO - Epoch(train) [57][180/3757] lr: 1.0000e-03 eta: 10:44:17 time: 0.2290 data_time: 0.0268 memory: 6108 grad_norm: 6.9238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6142 loss: 1.6142 2022/07/23 04:50:40 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 1.0000e-03 eta: 10:44:12 time: 0.2255 data_time: 0.0241 memory: 6108 grad_norm: 6.9919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5667 loss: 1.5667 2022/07/23 04:50:45 - mmengine - INFO - Epoch(train) [57][220/3757] lr: 1.0000e-03 eta: 10:44:08 time: 0.2425 data_time: 0.0244 memory: 6108 grad_norm: 6.7573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/07/23 04:50:49 - mmengine - INFO - Epoch(train) [57][240/3757] lr: 1.0000e-03 eta: 10:44:03 time: 0.2281 data_time: 0.0308 memory: 6108 grad_norm: 6.8010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3907 loss: 1.3907 2022/07/23 04:50:54 - mmengine - INFO - Epoch(train) [57][260/3757] lr: 1.0000e-03 eta: 10:43:59 time: 0.2549 data_time: 0.0210 memory: 6108 grad_norm: 7.0716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4931 loss: 1.4931 2022/07/23 04:50:59 - mmengine - INFO - Epoch(train) [57][280/3757] lr: 1.0000e-03 eta: 10:43:54 time: 0.2307 data_time: 0.0207 memory: 6108 grad_norm: 7.0535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4828 loss: 1.4828 2022/07/23 04:51:04 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 1.0000e-03 eta: 10:43:49 time: 0.2499 data_time: 0.0226 memory: 6108 grad_norm: 6.8170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/07/23 04:51:08 - mmengine - INFO - Epoch(train) [57][320/3757] lr: 1.0000e-03 eta: 10:43:45 time: 0.2227 data_time: 0.0205 memory: 6108 grad_norm: 7.0125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5194 loss: 1.5194 2022/07/23 04:51:13 - mmengine - INFO - Epoch(train) [57][340/3757] lr: 1.0000e-03 eta: 10:43:40 time: 0.2440 data_time: 0.0211 memory: 6108 grad_norm: 6.6746 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/23 04:51:18 - mmengine - INFO - Epoch(train) [57][360/3757] lr: 1.0000e-03 eta: 10:43:35 time: 0.2263 data_time: 0.0231 memory: 6108 grad_norm: 7.1290 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6011 loss: 1.6011 2022/07/23 04:51:22 - mmengine - INFO - Epoch(train) [57][380/3757] lr: 1.0000e-03 eta: 10:43:30 time: 0.2267 data_time: 0.0318 memory: 6108 grad_norm: 6.8910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2935 loss: 1.2935 2022/07/23 04:51:27 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 1.0000e-03 eta: 10:43:26 time: 0.2365 data_time: 0.0200 memory: 6108 grad_norm: 6.7460 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6160 loss: 1.6160 2022/07/23 04:51:32 - mmengine - INFO - Epoch(train) [57][420/3757] lr: 1.0000e-03 eta: 10:43:21 time: 0.2264 data_time: 0.0266 memory: 6108 grad_norm: 6.8931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3884 loss: 1.3884 2022/07/23 04:51:36 - mmengine - INFO - Epoch(train) [57][440/3757] lr: 1.0000e-03 eta: 10:43:16 time: 0.2320 data_time: 0.0288 memory: 6108 grad_norm: 7.0522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/07/23 04:51:41 - mmengine - INFO - Epoch(train) [57][460/3757] lr: 1.0000e-03 eta: 10:43:12 time: 0.2325 data_time: 0.0257 memory: 6108 grad_norm: 7.1378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4080 loss: 1.4080 2022/07/23 04:51:46 - mmengine - INFO - Epoch(train) [57][480/3757] lr: 1.0000e-03 eta: 10:43:07 time: 0.2437 data_time: 0.0231 memory: 6108 grad_norm: 7.3601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5961 loss: 1.5961 2022/07/23 04:51:51 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 1.0000e-03 eta: 10:43:03 time: 0.2416 data_time: 0.0253 memory: 6108 grad_norm: 7.0382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4123 loss: 1.4123 2022/07/23 04:51:55 - mmengine - INFO - Epoch(train) [57][520/3757] lr: 1.0000e-03 eta: 10:42:58 time: 0.2288 data_time: 0.0203 memory: 6108 grad_norm: 6.7505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/07/23 04:52:00 - mmengine - INFO - Epoch(train) [57][540/3757] lr: 1.0000e-03 eta: 10:42:53 time: 0.2277 data_time: 0.0249 memory: 6108 grad_norm: 6.9405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4577 loss: 1.4577 2022/07/23 04:52:05 - mmengine - INFO - Epoch(train) [57][560/3757] lr: 1.0000e-03 eta: 10:42:49 time: 0.2496 data_time: 0.0252 memory: 6108 grad_norm: 7.0975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3201 loss: 1.3201 2022/07/23 04:52:10 - mmengine - INFO - Epoch(train) [57][580/3757] lr: 1.0000e-03 eta: 10:42:44 time: 0.2300 data_time: 0.0218 memory: 6108 grad_norm: 6.9542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1850 loss: 1.1850 2022/07/23 04:52:14 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 1.0000e-03 eta: 10:42:39 time: 0.2344 data_time: 0.0251 memory: 6108 grad_norm: 7.0517 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3356 loss: 1.3356 2022/07/23 04:52:16 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:52:19 - mmengine - INFO - Epoch(train) [57][620/3757] lr: 1.0000e-03 eta: 10:42:35 time: 0.2420 data_time: 0.0423 memory: 6108 grad_norm: 6.7943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2331 loss: 1.2331 2022/07/23 04:52:24 - mmengine - INFO - Epoch(train) [57][640/3757] lr: 1.0000e-03 eta: 10:42:30 time: 0.2414 data_time: 0.0188 memory: 6108 grad_norm: 6.8981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/07/23 04:52:29 - mmengine - INFO - Epoch(train) [57][660/3757] lr: 1.0000e-03 eta: 10:42:25 time: 0.2282 data_time: 0.0251 memory: 6108 grad_norm: 7.2976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6804 loss: 1.6804 2022/07/23 04:52:33 - mmengine - INFO - Epoch(train) [57][680/3757] lr: 1.0000e-03 eta: 10:42:20 time: 0.2288 data_time: 0.0262 memory: 6108 grad_norm: 6.9502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1497 loss: 1.1497 2022/07/23 04:52:38 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 1.0000e-03 eta: 10:42:16 time: 0.2234 data_time: 0.0198 memory: 6108 grad_norm: 7.1176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1237 loss: 1.1237 2022/07/23 04:52:42 - mmengine - INFO - Epoch(train) [57][720/3757] lr: 1.0000e-03 eta: 10:42:11 time: 0.2266 data_time: 0.0205 memory: 6108 grad_norm: 6.8780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3379 loss: 1.3379 2022/07/23 04:52:47 - mmengine - INFO - Epoch(train) [57][740/3757] lr: 1.0000e-03 eta: 10:42:06 time: 0.2360 data_time: 0.0250 memory: 6108 grad_norm: 6.8616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4477 loss: 1.4477 2022/07/23 04:52:52 - mmengine - INFO - Epoch(train) [57][760/3757] lr: 1.0000e-03 eta: 10:42:02 time: 0.2412 data_time: 0.0210 memory: 6108 grad_norm: 6.7987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2932 loss: 1.2932 2022/07/23 04:52:56 - mmengine - INFO - Epoch(train) [57][780/3757] lr: 1.0000e-03 eta: 10:41:57 time: 0.2322 data_time: 0.0220 memory: 6108 grad_norm: 6.9241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3927 loss: 1.3927 2022/07/23 04:53:01 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 1.0000e-03 eta: 10:41:52 time: 0.2309 data_time: 0.0264 memory: 6108 grad_norm: 7.0372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6130 loss: 1.6130 2022/07/23 04:53:06 - mmengine - INFO - Epoch(train) [57][820/3757] lr: 1.0000e-03 eta: 10:41:48 time: 0.2566 data_time: 0.0236 memory: 6108 grad_norm: 7.0077 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4118 loss: 1.4118 2022/07/23 04:53:11 - mmengine - INFO - Epoch(train) [57][840/3757] lr: 1.0000e-03 eta: 10:41:43 time: 0.2280 data_time: 0.0270 memory: 6108 grad_norm: 7.2284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4458 loss: 1.4458 2022/07/23 04:53:16 - mmengine - INFO - Epoch(train) [57][860/3757] lr: 1.0000e-03 eta: 10:41:38 time: 0.2372 data_time: 0.0318 memory: 6108 grad_norm: 7.0539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/07/23 04:53:20 - mmengine - INFO - Epoch(train) [57][880/3757] lr: 1.0000e-03 eta: 10:41:34 time: 0.2263 data_time: 0.0227 memory: 6108 grad_norm: 7.3333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3937 loss: 1.3937 2022/07/23 04:53:25 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 1.0000e-03 eta: 10:41:29 time: 0.2460 data_time: 0.0236 memory: 6108 grad_norm: 6.8696 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4573 loss: 1.4573 2022/07/23 04:53:30 - mmengine - INFO - Epoch(train) [57][920/3757] lr: 1.0000e-03 eta: 10:41:24 time: 0.2288 data_time: 0.0249 memory: 6108 grad_norm: 6.9920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3342 loss: 1.3342 2022/07/23 04:53:34 - mmengine - INFO - Epoch(train) [57][940/3757] lr: 1.0000e-03 eta: 10:41:20 time: 0.2307 data_time: 0.0215 memory: 6108 grad_norm: 6.7542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4691 loss: 1.4691 2022/07/23 04:53:39 - mmengine - INFO - Epoch(train) [57][960/3757] lr: 1.0000e-03 eta: 10:41:15 time: 0.2325 data_time: 0.0245 memory: 6108 grad_norm: 7.1466 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0834 loss: 1.0834 2022/07/23 04:53:44 - mmengine - INFO - Epoch(train) [57][980/3757] lr: 1.0000e-03 eta: 10:41:10 time: 0.2462 data_time: 0.0240 memory: 6108 grad_norm: 6.7859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0774 loss: 1.0774 2022/07/23 04:53:49 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 1.0000e-03 eta: 10:41:06 time: 0.2351 data_time: 0.0219 memory: 6108 grad_norm: 7.0275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1846 loss: 1.1846 2022/07/23 04:53:53 - mmengine - INFO - Epoch(train) [57][1020/3757] lr: 1.0000e-03 eta: 10:41:01 time: 0.2274 data_time: 0.0241 memory: 6108 grad_norm: 7.0976 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4083 loss: 1.4083 2022/07/23 04:53:58 - mmengine - INFO - Epoch(train) [57][1040/3757] lr: 1.0000e-03 eta: 10:40:56 time: 0.2242 data_time: 0.0193 memory: 6108 grad_norm: 6.9470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6423 loss: 1.6423 2022/07/23 04:54:03 - mmengine - INFO - Epoch(train) [57][1060/3757] lr: 1.0000e-03 eta: 10:40:51 time: 0.2401 data_time: 0.0206 memory: 6108 grad_norm: 7.2186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/07/23 04:54:07 - mmengine - INFO - Epoch(train) [57][1080/3757] lr: 1.0000e-03 eta: 10:40:47 time: 0.2374 data_time: 0.0224 memory: 6108 grad_norm: 6.8241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5099 loss: 1.5099 2022/07/23 04:54:12 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 1.0000e-03 eta: 10:40:42 time: 0.2316 data_time: 0.0226 memory: 6108 grad_norm: 7.3405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3142 loss: 1.3142 2022/07/23 04:54:17 - mmengine - INFO - Epoch(train) [57][1120/3757] lr: 1.0000e-03 eta: 10:40:37 time: 0.2339 data_time: 0.0278 memory: 6108 grad_norm: 7.3441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/07/23 04:54:21 - mmengine - INFO - Epoch(train) [57][1140/3757] lr: 1.0000e-03 eta: 10:40:33 time: 0.2261 data_time: 0.0241 memory: 6108 grad_norm: 7.2313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0371 loss: 1.0371 2022/07/23 04:54:26 - mmengine - INFO - Epoch(train) [57][1160/3757] lr: 1.0000e-03 eta: 10:40:28 time: 0.2415 data_time: 0.0227 memory: 6108 grad_norm: 6.8601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6165 loss: 1.6165 2022/07/23 04:54:31 - mmengine - INFO - Epoch(train) [57][1180/3757] lr: 1.0000e-03 eta: 10:40:23 time: 0.2281 data_time: 0.0256 memory: 6108 grad_norm: 6.9371 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1463 loss: 1.1463 2022/07/23 04:54:35 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 1.0000e-03 eta: 10:40:19 time: 0.2385 data_time: 0.0263 memory: 6108 grad_norm: 6.8989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/07/23 04:54:40 - mmengine - INFO - Epoch(train) [57][1220/3757] lr: 1.0000e-03 eta: 10:40:14 time: 0.2317 data_time: 0.0248 memory: 6108 grad_norm: 7.1561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/07/23 04:54:45 - mmengine - INFO - Epoch(train) [57][1240/3757] lr: 1.0000e-03 eta: 10:40:09 time: 0.2417 data_time: 0.0214 memory: 6108 grad_norm: 6.8395 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3559 loss: 1.3559 2022/07/23 04:54:49 - mmengine - INFO - Epoch(train) [57][1260/3757] lr: 1.0000e-03 eta: 10:40:05 time: 0.2281 data_time: 0.0234 memory: 6108 grad_norm: 7.0211 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3267 loss: 1.3267 2022/07/23 04:54:54 - mmengine - INFO - Epoch(train) [57][1280/3757] lr: 1.0000e-03 eta: 10:40:00 time: 0.2362 data_time: 0.0254 memory: 6108 grad_norm: 7.1097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3050 loss: 1.3050 2022/07/23 04:54:59 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 1.0000e-03 eta: 10:39:55 time: 0.2226 data_time: 0.0265 memory: 6108 grad_norm: 7.1281 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4861 loss: 1.4861 2022/07/23 04:55:04 - mmengine - INFO - Epoch(train) [57][1320/3757] lr: 1.0000e-03 eta: 10:39:51 time: 0.2593 data_time: 0.0270 memory: 6108 grad_norm: 6.9839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4209 loss: 1.4209 2022/07/23 04:55:09 - mmengine - INFO - Epoch(train) [57][1340/3757] lr: 1.0000e-03 eta: 10:39:46 time: 0.2441 data_time: 0.0170 memory: 6108 grad_norm: 6.7612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/07/23 04:55:13 - mmengine - INFO - Epoch(train) [57][1360/3757] lr: 1.0000e-03 eta: 10:39:42 time: 0.2297 data_time: 0.0235 memory: 6108 grad_norm: 7.4581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5604 loss: 1.5604 2022/07/23 04:55:18 - mmengine - INFO - Epoch(train) [57][1380/3757] lr: 1.0000e-03 eta: 10:39:37 time: 0.2379 data_time: 0.0249 memory: 6108 grad_norm: 7.0348 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5233 loss: 1.5233 2022/07/23 04:55:23 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 1.0000e-03 eta: 10:39:32 time: 0.2293 data_time: 0.0204 memory: 6108 grad_norm: 7.2183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6186 loss: 1.6186 2022/07/23 04:55:28 - mmengine - INFO - Epoch(train) [57][1420/3757] lr: 1.0000e-03 eta: 10:39:28 time: 0.2410 data_time: 0.0279 memory: 6108 grad_norm: 7.0863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5223 loss: 1.5223 2022/07/23 04:55:32 - mmengine - INFO - Epoch(train) [57][1440/3757] lr: 1.0000e-03 eta: 10:39:23 time: 0.2279 data_time: 0.0227 memory: 6108 grad_norm: 7.1134 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/07/23 04:55:37 - mmengine - INFO - Epoch(train) [57][1460/3757] lr: 1.0000e-03 eta: 10:39:18 time: 0.2225 data_time: 0.0205 memory: 6108 grad_norm: 7.3135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4183 loss: 1.4183 2022/07/23 04:55:41 - mmengine - INFO - Epoch(train) [57][1480/3757] lr: 1.0000e-03 eta: 10:39:13 time: 0.2260 data_time: 0.0255 memory: 6108 grad_norm: 7.3570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5025 loss: 1.5025 2022/07/23 04:55:46 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 1.0000e-03 eta: 10:39:09 time: 0.2463 data_time: 0.0226 memory: 6108 grad_norm: 7.0704 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5115 loss: 1.5115 2022/07/23 04:55:51 - mmengine - INFO - Epoch(train) [57][1520/3757] lr: 1.0000e-03 eta: 10:39:04 time: 0.2303 data_time: 0.0208 memory: 6108 grad_norm: 7.0878 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/07/23 04:55:56 - mmengine - INFO - Epoch(train) [57][1540/3757] lr: 1.0000e-03 eta: 10:38:59 time: 0.2385 data_time: 0.0257 memory: 6108 grad_norm: 6.8051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3901 loss: 1.3901 2022/07/23 04:56:00 - mmengine - INFO - Epoch(train) [57][1560/3757] lr: 1.0000e-03 eta: 10:38:55 time: 0.2274 data_time: 0.0228 memory: 6108 grad_norm: 7.0788 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4410 loss: 1.4410 2022/07/23 04:56:05 - mmengine - INFO - Epoch(train) [57][1580/3757] lr: 1.0000e-03 eta: 10:38:50 time: 0.2482 data_time: 0.0242 memory: 6108 grad_norm: 7.0590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/07/23 04:56:10 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 1.0000e-03 eta: 10:38:45 time: 0.2247 data_time: 0.0224 memory: 6108 grad_norm: 7.2453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6231 loss: 1.6231 2022/07/23 04:56:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 04:56:14 - mmengine - INFO - Epoch(train) [57][1620/3757] lr: 1.0000e-03 eta: 10:38:40 time: 0.2310 data_time: 0.0201 memory: 6108 grad_norm: 6.8197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/07/23 04:56:19 - mmengine - INFO - Epoch(train) [57][1640/3757] lr: 1.0000e-03 eta: 10:38:36 time: 0.2256 data_time: 0.0189 memory: 6108 grad_norm: 6.8736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3756 loss: 1.3756 2022/07/23 04:56:24 - mmengine - INFO - Epoch(train) [57][1660/3757] lr: 1.0000e-03 eta: 10:38:32 time: 0.2734 data_time: 0.0445 memory: 6108 grad_norm: 7.3418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/07/23 04:56:29 - mmengine - INFO - Epoch(train) [57][1680/3757] lr: 1.0000e-03 eta: 10:38:27 time: 0.2200 data_time: 0.0216 memory: 6108 grad_norm: 7.1883 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2689 loss: 1.2689 2022/07/23 04:56:34 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 1.0000e-03 eta: 10:38:22 time: 0.2370 data_time: 0.0220 memory: 6108 grad_norm: 7.2001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4599 loss: 1.4599 2022/07/23 04:56:38 - mmengine - INFO - Epoch(train) [57][1720/3757] lr: 1.0000e-03 eta: 10:38:18 time: 0.2417 data_time: 0.0263 memory: 6108 grad_norm: 7.2485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/07/23 04:56:43 - mmengine - INFO - Epoch(train) [57][1740/3757] lr: 1.0000e-03 eta: 10:38:13 time: 0.2255 data_time: 0.0202 memory: 6108 grad_norm: 7.2699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/07/23 04:56:48 - mmengine - INFO - Epoch(train) [57][1760/3757] lr: 1.0000e-03 eta: 10:38:08 time: 0.2374 data_time: 0.0240 memory: 6108 grad_norm: 7.3137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/07/23 04:56:52 - mmengine - INFO - Epoch(train) [57][1780/3757] lr: 1.0000e-03 eta: 10:38:03 time: 0.2344 data_time: 0.0219 memory: 6108 grad_norm: 7.4876 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5691 loss: 1.5691 2022/07/23 04:56:57 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 1.0000e-03 eta: 10:37:59 time: 0.2254 data_time: 0.0218 memory: 6108 grad_norm: 6.9742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3124 loss: 1.3124 2022/07/23 04:57:01 - mmengine - INFO - Epoch(train) [57][1820/3757] lr: 1.0000e-03 eta: 10:37:54 time: 0.2277 data_time: 0.0246 memory: 6108 grad_norm: 7.1814 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6059 loss: 1.6059 2022/07/23 04:57:06 - mmengine - INFO - Epoch(train) [57][1840/3757] lr: 1.0000e-03 eta: 10:37:49 time: 0.2404 data_time: 0.0246 memory: 6108 grad_norm: 7.4149 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.5295 loss: 1.5295 2022/07/23 04:57:11 - mmengine - INFO - Epoch(train) [57][1860/3757] lr: 1.0000e-03 eta: 10:37:44 time: 0.2253 data_time: 0.0228 memory: 6108 grad_norm: 7.2286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3457 loss: 1.3457 2022/07/23 04:57:16 - mmengine - INFO - Epoch(train) [57][1880/3757] lr: 1.0000e-03 eta: 10:37:40 time: 0.2315 data_time: 0.0274 memory: 6108 grad_norm: 6.8949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/07/23 04:57:20 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 1.0000e-03 eta: 10:37:35 time: 0.2303 data_time: 0.0265 memory: 6108 grad_norm: 7.0410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/07/23 04:57:25 - mmengine - INFO - Epoch(train) [57][1920/3757] lr: 1.0000e-03 eta: 10:37:30 time: 0.2419 data_time: 0.0229 memory: 6108 grad_norm: 6.8179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2452 loss: 1.2452 2022/07/23 04:57:30 - mmengine - INFO - Epoch(train) [57][1940/3757] lr: 1.0000e-03 eta: 10:37:26 time: 0.2282 data_time: 0.0215 memory: 6108 grad_norm: 7.3229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/23 04:57:34 - mmengine - INFO - Epoch(train) [57][1960/3757] lr: 1.0000e-03 eta: 10:37:21 time: 0.2260 data_time: 0.0249 memory: 6108 grad_norm: 7.1963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5364 loss: 1.5364 2022/07/23 04:57:39 - mmengine - INFO - Epoch(train) [57][1980/3757] lr: 1.0000e-03 eta: 10:37:16 time: 0.2267 data_time: 0.0254 memory: 6108 grad_norm: 7.3088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6073 loss: 1.6073 2022/07/23 04:57:44 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 1.0000e-03 eta: 10:37:12 time: 0.2530 data_time: 0.0201 memory: 6108 grad_norm: 7.0455 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1863 loss: 1.1863 2022/07/23 04:57:48 - mmengine - INFO - Epoch(train) [57][2020/3757] lr: 1.0000e-03 eta: 10:37:07 time: 0.2237 data_time: 0.0226 memory: 6108 grad_norm: 7.1265 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/07/23 04:57:53 - mmengine - INFO - Epoch(train) [57][2040/3757] lr: 1.0000e-03 eta: 10:37:02 time: 0.2267 data_time: 0.0218 memory: 6108 grad_norm: 7.3059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4298 loss: 1.4298 2022/07/23 04:57:57 - mmengine - INFO - Epoch(train) [57][2060/3757] lr: 1.0000e-03 eta: 10:36:57 time: 0.2243 data_time: 0.0221 memory: 6108 grad_norm: 7.0258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/07/23 04:58:02 - mmengine - INFO - Epoch(train) [57][2080/3757] lr: 1.0000e-03 eta: 10:36:52 time: 0.2345 data_time: 0.0280 memory: 6108 grad_norm: 6.8953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2914 loss: 1.2914 2022/07/23 04:58:07 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 1.0000e-03 eta: 10:36:48 time: 0.2409 data_time: 0.0199 memory: 6108 grad_norm: 6.9945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5911 loss: 1.5911 2022/07/23 04:58:12 - mmengine - INFO - Epoch(train) [57][2120/3757] lr: 1.0000e-03 eta: 10:36:43 time: 0.2399 data_time: 0.0197 memory: 6108 grad_norm: 7.2632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1008 loss: 1.1008 2022/07/23 04:58:16 - mmengine - INFO - Epoch(train) [57][2140/3757] lr: 1.0000e-03 eta: 10:36:38 time: 0.2272 data_time: 0.0269 memory: 6108 grad_norm: 7.3096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4227 loss: 1.4227 2022/07/23 04:58:21 - mmengine - INFO - Epoch(train) [57][2160/3757] lr: 1.0000e-03 eta: 10:36:34 time: 0.2490 data_time: 0.0256 memory: 6108 grad_norm: 7.2001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2667 loss: 1.2667 2022/07/23 04:58:27 - mmengine - INFO - Epoch(train) [57][2180/3757] lr: 1.0000e-03 eta: 10:36:30 time: 0.2800 data_time: 0.0182 memory: 6108 grad_norm: 7.2056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6088 loss: 1.6088 2022/07/23 04:58:31 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 1.0000e-03 eta: 10:36:25 time: 0.2273 data_time: 0.0225 memory: 6108 grad_norm: 7.3568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5769 loss: 1.5769 2022/07/23 04:58:36 - mmengine - INFO - Epoch(train) [57][2220/3757] lr: 1.0000e-03 eta: 10:36:21 time: 0.2309 data_time: 0.0178 memory: 6108 grad_norm: 6.8802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2559 loss: 1.2559 2022/07/23 04:58:41 - mmengine - INFO - Epoch(train) [57][2240/3757] lr: 1.0000e-03 eta: 10:36:16 time: 0.2389 data_time: 0.0208 memory: 6108 grad_norm: 7.2706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4146 loss: 1.4146 2022/07/23 04:58:45 - mmengine - INFO - Epoch(train) [57][2260/3757] lr: 1.0000e-03 eta: 10:36:11 time: 0.2280 data_time: 0.0252 memory: 6108 grad_norm: 7.2530 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3961 loss: 1.3961 2022/07/23 04:58:50 - mmengine - INFO - Epoch(train) [57][2280/3757] lr: 1.0000e-03 eta: 10:36:06 time: 0.2260 data_time: 0.0213 memory: 6108 grad_norm: 7.3662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3160 loss: 1.3160 2022/07/23 04:58:55 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 1.0000e-03 eta: 10:36:02 time: 0.2723 data_time: 0.0303 memory: 6108 grad_norm: 7.0089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2014 loss: 1.2014 2022/07/23 04:59:00 - mmengine - INFO - Epoch(train) [57][2320/3757] lr: 1.0000e-03 eta: 10:35:57 time: 0.2282 data_time: 0.0219 memory: 6108 grad_norm: 7.0670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/07/23 04:59:05 - mmengine - INFO - Epoch(train) [57][2340/3757] lr: 1.0000e-03 eta: 10:35:53 time: 0.2295 data_time: 0.0190 memory: 6108 grad_norm: 7.0064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5295 loss: 1.5295 2022/07/23 04:59:09 - mmengine - INFO - Epoch(train) [57][2360/3757] lr: 1.0000e-03 eta: 10:35:48 time: 0.2301 data_time: 0.0269 memory: 6108 grad_norm: 7.2153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5187 loss: 1.5187 2022/07/23 04:59:14 - mmengine - INFO - Epoch(train) [57][2380/3757] lr: 1.0000e-03 eta: 10:35:43 time: 0.2442 data_time: 0.0260 memory: 6108 grad_norm: 7.3829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5870 loss: 1.5870 2022/07/23 04:59:19 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 1.0000e-03 eta: 10:35:39 time: 0.2250 data_time: 0.0212 memory: 6108 grad_norm: 7.1544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5393 loss: 1.5393 2022/07/23 04:59:23 - mmengine - INFO - Epoch(train) [57][2420/3757] lr: 1.0000e-03 eta: 10:35:34 time: 0.2275 data_time: 0.0188 memory: 6108 grad_norm: 6.8861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2273 loss: 1.2273 2022/07/23 04:59:28 - mmengine - INFO - Epoch(train) [57][2440/3757] lr: 1.0000e-03 eta: 10:35:29 time: 0.2283 data_time: 0.0235 memory: 6108 grad_norm: 7.3483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/07/23 04:59:32 - mmengine - INFO - Epoch(train) [57][2460/3757] lr: 1.0000e-03 eta: 10:35:24 time: 0.2270 data_time: 0.0170 memory: 6108 grad_norm: 7.1296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4013 loss: 1.4013 2022/07/23 04:59:37 - mmengine - INFO - Epoch(train) [57][2480/3757] lr: 1.0000e-03 eta: 10:35:20 time: 0.2427 data_time: 0.0350 memory: 6108 grad_norm: 7.1032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5108 loss: 1.5108 2022/07/23 04:59:42 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 1.0000e-03 eta: 10:35:15 time: 0.2282 data_time: 0.0259 memory: 6108 grad_norm: 7.1274 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3946 loss: 1.3946 2022/07/23 04:59:47 - mmengine - INFO - Epoch(train) [57][2520/3757] lr: 1.0000e-03 eta: 10:35:10 time: 0.2330 data_time: 0.0325 memory: 6108 grad_norm: 7.2827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3621 loss: 1.3621 2022/07/23 04:59:51 - mmengine - INFO - Epoch(train) [57][2540/3757] lr: 1.0000e-03 eta: 10:35:05 time: 0.2252 data_time: 0.0152 memory: 6108 grad_norm: 6.8625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3719 loss: 1.3719 2022/07/23 04:59:56 - mmengine - INFO - Epoch(train) [57][2560/3757] lr: 1.0000e-03 eta: 10:35:01 time: 0.2397 data_time: 0.0252 memory: 6108 grad_norm: 6.8331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3219 loss: 1.3219 2022/07/23 05:00:00 - mmengine - INFO - Epoch(train) [57][2580/3757] lr: 1.0000e-03 eta: 10:34:56 time: 0.2226 data_time: 0.0177 memory: 6108 grad_norm: 6.9235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5030 loss: 1.5030 2022/07/23 05:00:05 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 1.0000e-03 eta: 10:34:51 time: 0.2429 data_time: 0.0194 memory: 6108 grad_norm: 6.7991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3295 loss: 1.3295 2022/07/23 05:00:07 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:00:10 - mmengine - INFO - Epoch(train) [57][2620/3757] lr: 1.0000e-03 eta: 10:34:47 time: 0.2327 data_time: 0.0210 memory: 6108 grad_norm: 7.0282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5605 loss: 1.5605 2022/07/23 05:00:15 - mmengine - INFO - Epoch(train) [57][2640/3757] lr: 1.0000e-03 eta: 10:34:42 time: 0.2542 data_time: 0.0247 memory: 6108 grad_norm: 7.3437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4912 loss: 1.4912 2022/07/23 05:00:19 - mmengine - INFO - Epoch(train) [57][2660/3757] lr: 1.0000e-03 eta: 10:34:37 time: 0.2218 data_time: 0.0238 memory: 6108 grad_norm: 7.1335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4038 loss: 1.4038 2022/07/23 05:00:24 - mmengine - INFO - Epoch(train) [57][2680/3757] lr: 1.0000e-03 eta: 10:34:33 time: 0.2288 data_time: 0.0257 memory: 6108 grad_norm: 7.3625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3619 loss: 1.3619 2022/07/23 05:00:29 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 1.0000e-03 eta: 10:34:28 time: 0.2238 data_time: 0.0239 memory: 6108 grad_norm: 7.1265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2844 loss: 1.2844 2022/07/23 05:00:34 - mmengine - INFO - Epoch(train) [57][2720/3757] lr: 1.0000e-03 eta: 10:34:24 time: 0.2753 data_time: 0.0231 memory: 6108 grad_norm: 6.9389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5082 loss: 1.5082 2022/07/23 05:00:38 - mmengine - INFO - Epoch(train) [57][2740/3757] lr: 1.0000e-03 eta: 10:34:19 time: 0.2163 data_time: 0.0184 memory: 6108 grad_norm: 7.0152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/07/23 05:00:43 - mmengine - INFO - Epoch(train) [57][2760/3757] lr: 1.0000e-03 eta: 10:34:14 time: 0.2251 data_time: 0.0229 memory: 6108 grad_norm: 6.9906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2687 loss: 1.2687 2022/07/23 05:00:48 - mmengine - INFO - Epoch(train) [57][2780/3757] lr: 1.0000e-03 eta: 10:34:09 time: 0.2367 data_time: 0.0271 memory: 6108 grad_norm: 7.5147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2784 loss: 1.2784 2022/07/23 05:00:52 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 1.0000e-03 eta: 10:34:05 time: 0.2303 data_time: 0.0227 memory: 6108 grad_norm: 6.7989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3392 loss: 1.3392 2022/07/23 05:00:57 - mmengine - INFO - Epoch(train) [57][2820/3757] lr: 1.0000e-03 eta: 10:34:00 time: 0.2383 data_time: 0.0277 memory: 6108 grad_norm: 7.1864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4836 loss: 1.4836 2022/07/23 05:01:02 - mmengine - INFO - Epoch(train) [57][2840/3757] lr: 1.0000e-03 eta: 10:33:55 time: 0.2235 data_time: 0.0191 memory: 6108 grad_norm: 7.5411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5650 loss: 1.5650 2022/07/23 05:01:06 - mmengine - INFO - Epoch(train) [57][2860/3757] lr: 1.0000e-03 eta: 10:33:51 time: 0.2349 data_time: 0.0263 memory: 6108 grad_norm: 6.8369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1819 loss: 1.1819 2022/07/23 05:01:11 - mmengine - INFO - Epoch(train) [57][2880/3757] lr: 1.0000e-03 eta: 10:33:46 time: 0.2298 data_time: 0.0171 memory: 6108 grad_norm: 6.8240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3865 loss: 1.3865 2022/07/23 05:01:16 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 1.0000e-03 eta: 10:33:41 time: 0.2516 data_time: 0.0210 memory: 6108 grad_norm: 7.0019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5475 loss: 1.5475 2022/07/23 05:01:21 - mmengine - INFO - Epoch(train) [57][2920/3757] lr: 1.0000e-03 eta: 10:33:37 time: 0.2283 data_time: 0.0249 memory: 6108 grad_norm: 7.0237 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2215 loss: 1.2215 2022/07/23 05:01:25 - mmengine - INFO - Epoch(train) [57][2940/3757] lr: 1.0000e-03 eta: 10:33:32 time: 0.2214 data_time: 0.0185 memory: 6108 grad_norm: 7.1914 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3985 loss: 1.3985 2022/07/23 05:01:30 - mmengine - INFO - Epoch(train) [57][2960/3757] lr: 1.0000e-03 eta: 10:33:27 time: 0.2337 data_time: 0.0243 memory: 6108 grad_norm: 7.2142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2456 loss: 1.2456 2022/07/23 05:01:35 - mmengine - INFO - Epoch(train) [57][2980/3757] lr: 1.0000e-03 eta: 10:33:23 time: 0.2477 data_time: 0.0249 memory: 6108 grad_norm: 7.2466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1847 loss: 1.1847 2022/07/23 05:01:39 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 1.0000e-03 eta: 10:33:18 time: 0.2305 data_time: 0.0295 memory: 6108 grad_norm: 7.3489 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/07/23 05:01:44 - mmengine - INFO - Epoch(train) [57][3020/3757] lr: 1.0000e-03 eta: 10:33:13 time: 0.2245 data_time: 0.0241 memory: 6108 grad_norm: 6.7922 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/07/23 05:01:48 - mmengine - INFO - Epoch(train) [57][3040/3757] lr: 1.0000e-03 eta: 10:33:08 time: 0.2317 data_time: 0.0287 memory: 6108 grad_norm: 7.2571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6056 loss: 1.6056 2022/07/23 05:01:53 - mmengine - INFO - Epoch(train) [57][3060/3757] lr: 1.0000e-03 eta: 10:33:03 time: 0.2249 data_time: 0.0186 memory: 6108 grad_norm: 7.1959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4003 loss: 1.4003 2022/07/23 05:01:58 - mmengine - INFO - Epoch(train) [57][3080/3757] lr: 1.0000e-03 eta: 10:32:59 time: 0.2395 data_time: 0.0231 memory: 6108 grad_norm: 7.2511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6669 loss: 1.6669 2022/07/23 05:02:02 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 1.0000e-03 eta: 10:32:54 time: 0.2313 data_time: 0.0235 memory: 6108 grad_norm: 7.2406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3807 loss: 1.3807 2022/07/23 05:02:07 - mmengine - INFO - Epoch(train) [57][3120/3757] lr: 1.0000e-03 eta: 10:32:49 time: 0.2256 data_time: 0.0183 memory: 6108 grad_norm: 7.2570 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5158 loss: 1.5158 2022/07/23 05:02:12 - mmengine - INFO - Epoch(train) [57][3140/3757] lr: 1.0000e-03 eta: 10:32:45 time: 0.2310 data_time: 0.0263 memory: 6108 grad_norm: 7.1341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4312 loss: 1.4312 2022/07/23 05:02:16 - mmengine - INFO - Epoch(train) [57][3160/3757] lr: 1.0000e-03 eta: 10:32:40 time: 0.2381 data_time: 0.0224 memory: 6108 grad_norm: 7.1957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4080 loss: 1.4080 2022/07/23 05:02:21 - mmengine - INFO - Epoch(train) [57][3180/3757] lr: 1.0000e-03 eta: 10:32:35 time: 0.2383 data_time: 0.0190 memory: 6108 grad_norm: 7.2047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4479 loss: 1.4479 2022/07/23 05:02:26 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 1.0000e-03 eta: 10:32:31 time: 0.2397 data_time: 0.0260 memory: 6108 grad_norm: 7.2050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/07/23 05:02:31 - mmengine - INFO - Epoch(train) [57][3220/3757] lr: 1.0000e-03 eta: 10:32:26 time: 0.2317 data_time: 0.0246 memory: 6108 grad_norm: 7.0450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/07/23 05:02:35 - mmengine - INFO - Epoch(train) [57][3240/3757] lr: 1.0000e-03 eta: 10:32:21 time: 0.2373 data_time: 0.0226 memory: 6108 grad_norm: 7.2701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4471 loss: 1.4471 2022/07/23 05:02:40 - mmengine - INFO - Epoch(train) [57][3260/3757] lr: 1.0000e-03 eta: 10:32:17 time: 0.2277 data_time: 0.0198 memory: 6108 grad_norm: 7.5226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9014 loss: 1.9014 2022/07/23 05:02:45 - mmengine - INFO - Epoch(train) [57][3280/3757] lr: 1.0000e-03 eta: 10:32:12 time: 0.2287 data_time: 0.0230 memory: 6108 grad_norm: 6.9890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/07/23 05:02:49 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 1.0000e-03 eta: 10:32:07 time: 0.2374 data_time: 0.0207 memory: 6108 grad_norm: 7.1553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1870 loss: 1.1870 2022/07/23 05:02:54 - mmengine - INFO - Epoch(train) [57][3320/3757] lr: 1.0000e-03 eta: 10:32:03 time: 0.2520 data_time: 0.0295 memory: 6108 grad_norm: 6.7691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/07/23 05:02:59 - mmengine - INFO - Epoch(train) [57][3340/3757] lr: 1.0000e-03 eta: 10:31:58 time: 0.2408 data_time: 0.0254 memory: 6108 grad_norm: 7.4440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4881 loss: 1.4881 2022/07/23 05:03:04 - mmengine - INFO - Epoch(train) [57][3360/3757] lr: 1.0000e-03 eta: 10:31:54 time: 0.2344 data_time: 0.0181 memory: 6108 grad_norm: 7.1896 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3374 loss: 1.3374 2022/07/23 05:03:09 - mmengine - INFO - Epoch(train) [57][3380/3757] lr: 1.0000e-03 eta: 10:31:49 time: 0.2374 data_time: 0.0222 memory: 6108 grad_norm: 7.1169 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/07/23 05:03:13 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 1.0000e-03 eta: 10:31:44 time: 0.2284 data_time: 0.0219 memory: 6108 grad_norm: 7.1277 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5120 loss: 1.5120 2022/07/23 05:03:18 - mmengine - INFO - Epoch(train) [57][3420/3757] lr: 1.0000e-03 eta: 10:31:40 time: 0.2445 data_time: 0.0244 memory: 6108 grad_norm: 7.3823 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6321 loss: 1.6321 2022/07/23 05:03:23 - mmengine - INFO - Epoch(train) [57][3440/3757] lr: 1.0000e-03 eta: 10:31:35 time: 0.2269 data_time: 0.0231 memory: 6108 grad_norm: 7.2405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5864 loss: 1.5864 2022/07/23 05:03:27 - mmengine - INFO - Epoch(train) [57][3460/3757] lr: 1.0000e-03 eta: 10:31:30 time: 0.2273 data_time: 0.0222 memory: 6108 grad_norm: 6.9358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3720 loss: 1.3720 2022/07/23 05:03:32 - mmengine - INFO - Epoch(train) [57][3480/3757] lr: 1.0000e-03 eta: 10:31:25 time: 0.2289 data_time: 0.0221 memory: 6108 grad_norm: 7.1987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/07/23 05:03:37 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 1.0000e-03 eta: 10:31:21 time: 0.2342 data_time: 0.0226 memory: 6108 grad_norm: 7.1589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2360 loss: 1.2360 2022/07/23 05:03:41 - mmengine - INFO - Epoch(train) [57][3520/3757] lr: 1.0000e-03 eta: 10:31:16 time: 0.2281 data_time: 0.0233 memory: 6108 grad_norm: 7.1762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4208 loss: 1.4208 2022/07/23 05:03:46 - mmengine - INFO - Epoch(train) [57][3540/3757] lr: 1.0000e-03 eta: 10:31:11 time: 0.2416 data_time: 0.0237 memory: 6108 grad_norm: 7.3447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4573 loss: 1.4573 2022/07/23 05:03:51 - mmengine - INFO - Epoch(train) [57][3560/3757] lr: 1.0000e-03 eta: 10:31:07 time: 0.2400 data_time: 0.0341 memory: 6108 grad_norm: 7.1178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3313 loss: 1.3313 2022/07/23 05:03:56 - mmengine - INFO - Epoch(train) [57][3580/3757] lr: 1.0000e-03 eta: 10:31:02 time: 0.2406 data_time: 0.0289 memory: 6108 grad_norm: 7.1329 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4152 loss: 1.4152 2022/07/23 05:04:00 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 1.0000e-03 eta: 10:30:57 time: 0.2280 data_time: 0.0202 memory: 6108 grad_norm: 7.1424 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3934 loss: 1.3934 2022/07/23 05:04:02 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:04:05 - mmengine - INFO - Epoch(train) [57][3620/3757] lr: 1.0000e-03 eta: 10:30:53 time: 0.2276 data_time: 0.0204 memory: 6108 grad_norm: 7.2033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2922 loss: 1.2922 2022/07/23 05:04:09 - mmengine - INFO - Epoch(train) [57][3640/3757] lr: 1.0000e-03 eta: 10:30:48 time: 0.2269 data_time: 0.0217 memory: 6108 grad_norm: 7.2855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/07/23 05:04:14 - mmengine - INFO - Epoch(train) [57][3660/3757] lr: 1.0000e-03 eta: 10:30:43 time: 0.2364 data_time: 0.0219 memory: 6108 grad_norm: 7.0647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/07/23 05:04:19 - mmengine - INFO - Epoch(train) [57][3680/3757] lr: 1.0000e-03 eta: 10:30:38 time: 0.2324 data_time: 0.0217 memory: 6108 grad_norm: 7.0397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5350 loss: 1.5350 2022/07/23 05:04:23 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 1.0000e-03 eta: 10:30:34 time: 0.2255 data_time: 0.0231 memory: 6108 grad_norm: 6.9575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2039 loss: 1.2039 2022/07/23 05:04:28 - mmengine - INFO - Epoch(train) [57][3720/3757] lr: 1.0000e-03 eta: 10:30:29 time: 0.2328 data_time: 0.0190 memory: 6108 grad_norm: 6.9616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4579 loss: 1.4579 2022/07/23 05:04:33 - mmengine - INFO - Epoch(train) [57][3740/3757] lr: 1.0000e-03 eta: 10:30:24 time: 0.2460 data_time: 0.0343 memory: 6108 grad_norm: 7.0574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/07/23 05:04:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:04:37 - mmengine - INFO - Epoch(train) [57][3757/3757] lr: 1.0000e-03 eta: 10:30:24 time: 0.2183 data_time: 0.0178 memory: 6108 grad_norm: 6.9806 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5428 loss: 1.5428 2022/07/23 05:04:42 - mmengine - INFO - Epoch(val) [57][20/310] eta: 0:01:17 time: 0.2679 data_time: 0.1884 memory: 1428 2022/07/23 05:04:46 - mmengine - INFO - Epoch(val) [57][40/310] eta: 0:00:49 time: 0.1823 data_time: 0.1061 memory: 1428 2022/07/23 05:04:50 - mmengine - INFO - Epoch(val) [57][60/310] eta: 0:00:55 time: 0.2232 data_time: 0.1489 memory: 1428 2022/07/23 05:04:55 - mmengine - INFO - Epoch(val) [57][80/310] eta: 0:00:52 time: 0.2279 data_time: 0.1269 memory: 1428 2022/07/23 05:04:59 - mmengine - INFO - Epoch(val) [57][100/310] eta: 0:00:41 time: 0.1970 data_time: 0.1234 memory: 1428 2022/07/23 05:05:02 - mmengine - INFO - Epoch(val) [57][120/310] eta: 0:00:36 time: 0.1901 data_time: 0.1157 memory: 1428 2022/07/23 05:05:07 - mmengine - INFO - Epoch(val) [57][140/310] eta: 0:00:39 time: 0.2301 data_time: 0.1546 memory: 1428 2022/07/23 05:05:11 - mmengine - INFO - Epoch(val) [57][160/310] eta: 0:00:31 time: 0.2099 data_time: 0.1368 memory: 1428 2022/07/23 05:05:16 - mmengine - INFO - Epoch(val) [57][180/310] eta: 0:00:28 time: 0.2227 data_time: 0.1413 memory: 1428 2022/07/23 05:05:19 - mmengine - INFO - Epoch(val) [57][200/310] eta: 0:00:20 time: 0.1860 data_time: 0.1098 memory: 1428 2022/07/23 05:05:25 - mmengine - INFO - Epoch(val) [57][220/310] eta: 0:00:23 time: 0.2621 data_time: 0.1912 memory: 1428 2022/07/23 05:05:28 - mmengine - INFO - Epoch(val) [57][240/310] eta: 0:00:13 time: 0.1942 data_time: 0.1143 memory: 1428 2022/07/23 05:05:33 - mmengine - INFO - Epoch(val) [57][260/310] eta: 0:00:11 time: 0.2341 data_time: 0.1547 memory: 1428 2022/07/23 05:05:37 - mmengine - INFO - Epoch(val) [57][280/310] eta: 0:00:05 time: 0.1934 data_time: 0.1175 memory: 1428 2022/07/23 05:05:41 - mmengine - INFO - Epoch(val) [57][300/310] eta: 0:00:02 time: 0.2119 data_time: 0.1413 memory: 1428 2022/07/23 05:05:44 - mmengine - INFO - Epoch(val) [57][310/310] acc/top1: 0.6508 acc/top5: 0.8579 acc/mean1: 0.6506 2022/07/23 05:05:51 - mmengine - INFO - Epoch(train) [58][20/3757] lr: 1.0000e-03 eta: 10:30:14 time: 0.3411 data_time: 0.0816 memory: 6108 grad_norm: 7.0944 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.3283 loss: 1.3283 2022/07/23 05:05:56 - mmengine - INFO - Epoch(train) [58][40/3757] lr: 1.0000e-03 eta: 10:30:10 time: 0.2393 data_time: 0.0169 memory: 6108 grad_norm: 7.1189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5700 loss: 1.5700 2022/07/23 05:06:01 - mmengine - INFO - Epoch(train) [58][60/3757] lr: 1.0000e-03 eta: 10:30:05 time: 0.2503 data_time: 0.0220 memory: 6108 grad_norm: 7.0512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4861 loss: 1.4861 2022/07/23 05:06:06 - mmengine - INFO - Epoch(train) [58][80/3757] lr: 1.0000e-03 eta: 10:30:00 time: 0.2221 data_time: 0.0225 memory: 6108 grad_norm: 7.1421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3258 loss: 1.3258 2022/07/23 05:06:10 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 1.0000e-03 eta: 10:29:56 time: 0.2358 data_time: 0.0217 memory: 6108 grad_norm: 7.1956 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5370 loss: 1.5370 2022/07/23 05:06:15 - mmengine - INFO - Epoch(train) [58][120/3757] lr: 1.0000e-03 eta: 10:29:51 time: 0.2336 data_time: 0.0267 memory: 6108 grad_norm: 7.1463 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3708 loss: 1.3708 2022/07/23 05:06:20 - mmengine - INFO - Epoch(train) [58][140/3757] lr: 1.0000e-03 eta: 10:29:46 time: 0.2280 data_time: 0.0223 memory: 6108 grad_norm: 7.4047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3602 loss: 1.3602 2022/07/23 05:06:24 - mmengine - INFO - Epoch(train) [58][160/3757] lr: 1.0000e-03 eta: 10:29:42 time: 0.2342 data_time: 0.0224 memory: 6108 grad_norm: 6.7281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/07/23 05:06:29 - mmengine - INFO - Epoch(train) [58][180/3757] lr: 1.0000e-03 eta: 10:29:37 time: 0.2351 data_time: 0.0248 memory: 6108 grad_norm: 7.0236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/07/23 05:06:34 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 1.0000e-03 eta: 10:29:32 time: 0.2267 data_time: 0.0187 memory: 6108 grad_norm: 7.1998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4046 loss: 1.4046 2022/07/23 05:06:38 - mmengine - INFO - Epoch(train) [58][220/3757] lr: 1.0000e-03 eta: 10:29:27 time: 0.2316 data_time: 0.0320 memory: 6108 grad_norm: 7.0821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3843 loss: 1.3843 2022/07/23 05:06:43 - mmengine - INFO - Epoch(train) [58][240/3757] lr: 1.0000e-03 eta: 10:29:23 time: 0.2273 data_time: 0.0242 memory: 6108 grad_norm: 7.0405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4090 loss: 1.4090 2022/07/23 05:06:48 - mmengine - INFO - Epoch(train) [58][260/3757] lr: 1.0000e-03 eta: 10:29:18 time: 0.2414 data_time: 0.0231 memory: 6108 grad_norm: 7.4663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4573 loss: 1.4573 2022/07/23 05:06:52 - mmengine - INFO - Epoch(train) [58][280/3757] lr: 1.0000e-03 eta: 10:29:13 time: 0.2298 data_time: 0.0280 memory: 6108 grad_norm: 6.9126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3084 loss: 1.3084 2022/07/23 05:06:57 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 1.0000e-03 eta: 10:29:08 time: 0.2238 data_time: 0.0230 memory: 6108 grad_norm: 7.0400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/07/23 05:07:01 - mmengine - INFO - Epoch(train) [58][320/3757] lr: 1.0000e-03 eta: 10:29:04 time: 0.2297 data_time: 0.0243 memory: 6108 grad_norm: 7.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2561 loss: 1.2561 2022/07/23 05:07:06 - mmengine - INFO - Epoch(train) [58][340/3757] lr: 1.0000e-03 eta: 10:28:59 time: 0.2493 data_time: 0.0233 memory: 6108 grad_norm: 7.1400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4951 loss: 1.4951 2022/07/23 05:07:11 - mmengine - INFO - Epoch(train) [58][360/3757] lr: 1.0000e-03 eta: 10:28:54 time: 0.2263 data_time: 0.0207 memory: 6108 grad_norm: 7.4955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5071 loss: 1.5071 2022/07/23 05:07:16 - mmengine - INFO - Epoch(train) [58][380/3757] lr: 1.0000e-03 eta: 10:28:50 time: 0.2335 data_time: 0.0208 memory: 6108 grad_norm: 7.4116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/07/23 05:07:20 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 1.0000e-03 eta: 10:28:45 time: 0.2260 data_time: 0.0173 memory: 6108 grad_norm: 7.2455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/07/23 05:07:25 - mmengine - INFO - Epoch(train) [58][420/3757] lr: 1.0000e-03 eta: 10:28:41 time: 0.2521 data_time: 0.0233 memory: 6108 grad_norm: 7.0083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2606 loss: 1.2606 2022/07/23 05:07:30 - mmengine - INFO - Epoch(train) [58][440/3757] lr: 1.0000e-03 eta: 10:28:36 time: 0.2250 data_time: 0.0197 memory: 6108 grad_norm: 7.0170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/07/23 05:07:34 - mmengine - INFO - Epoch(train) [58][460/3757] lr: 1.0000e-03 eta: 10:28:31 time: 0.2325 data_time: 0.0212 memory: 6108 grad_norm: 7.2539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/07/23 05:07:39 - mmengine - INFO - Epoch(train) [58][480/3757] lr: 1.0000e-03 eta: 10:28:26 time: 0.2332 data_time: 0.0290 memory: 6108 grad_norm: 7.2221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4281 loss: 1.4281 2022/07/23 05:07:44 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 1.0000e-03 eta: 10:28:22 time: 0.2237 data_time: 0.0195 memory: 6108 grad_norm: 7.1970 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5023 loss: 1.5023 2022/07/23 05:07:48 - mmengine - INFO - Epoch(train) [58][520/3757] lr: 1.0000e-03 eta: 10:28:17 time: 0.2338 data_time: 0.0204 memory: 6108 grad_norm: 7.0945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/07/23 05:07:53 - mmengine - INFO - Epoch(train) [58][540/3757] lr: 1.0000e-03 eta: 10:28:12 time: 0.2259 data_time: 0.0236 memory: 6108 grad_norm: 7.1148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5866 loss: 1.5866 2022/07/23 05:07:58 - mmengine - INFO - Epoch(train) [58][560/3757] lr: 1.0000e-03 eta: 10:28:08 time: 0.2670 data_time: 0.0200 memory: 6108 grad_norm: 7.1791 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2856 loss: 1.2856 2022/07/23 05:08:03 - mmengine - INFO - Epoch(train) [58][580/3757] lr: 1.0000e-03 eta: 10:28:03 time: 0.2287 data_time: 0.0192 memory: 6108 grad_norm: 7.0237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3830 loss: 1.3830 2022/07/23 05:08:07 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 1.0000e-03 eta: 10:27:58 time: 0.2310 data_time: 0.0205 memory: 6108 grad_norm: 7.0550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0525 loss: 1.0525 2022/07/23 05:08:12 - mmengine - INFO - Epoch(train) [58][620/3757] lr: 1.0000e-03 eta: 10:27:54 time: 0.2284 data_time: 0.0315 memory: 6108 grad_norm: 6.9542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/07/23 05:08:17 - mmengine - INFO - Epoch(train) [58][640/3757] lr: 1.0000e-03 eta: 10:27:49 time: 0.2564 data_time: 0.0236 memory: 6108 grad_norm: 7.5373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4709 loss: 1.4709 2022/07/23 05:08:22 - mmengine - INFO - Epoch(train) [58][660/3757] lr: 1.0000e-03 eta: 10:27:45 time: 0.2304 data_time: 0.0238 memory: 6108 grad_norm: 6.7917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2962 loss: 1.2962 2022/07/23 05:08:26 - mmengine - INFO - Epoch(train) [58][680/3757] lr: 1.0000e-03 eta: 10:27:40 time: 0.2258 data_time: 0.0266 memory: 6108 grad_norm: 7.1367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/07/23 05:08:31 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 1.0000e-03 eta: 10:27:35 time: 0.2303 data_time: 0.0201 memory: 6108 grad_norm: 7.4240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3074 loss: 1.3074 2022/07/23 05:08:36 - mmengine - INFO - Epoch(train) [58][720/3757] lr: 1.0000e-03 eta: 10:27:30 time: 0.2341 data_time: 0.0234 memory: 6108 grad_norm: 7.1987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3016 loss: 1.3016 2022/07/23 05:08:41 - mmengine - INFO - Epoch(train) [58][740/3757] lr: 1.0000e-03 eta: 10:27:26 time: 0.2381 data_time: 0.0247 memory: 6108 grad_norm: 7.2403 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6685 loss: 1.6685 2022/07/23 05:08:45 - mmengine - INFO - Epoch(train) [58][760/3757] lr: 1.0000e-03 eta: 10:27:21 time: 0.2286 data_time: 0.0190 memory: 6108 grad_norm: 7.1278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/07/23 05:08:50 - mmengine - INFO - Epoch(train) [58][780/3757] lr: 1.0000e-03 eta: 10:27:16 time: 0.2369 data_time: 0.0297 memory: 6108 grad_norm: 7.0111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4736 loss: 1.4736 2022/07/23 05:08:55 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 1.0000e-03 eta: 10:27:12 time: 0.2377 data_time: 0.0226 memory: 6108 grad_norm: 6.9289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3423 loss: 1.3423 2022/07/23 05:09:00 - mmengine - INFO - Epoch(train) [58][820/3757] lr: 1.0000e-03 eta: 10:27:07 time: 0.2463 data_time: 0.0186 memory: 6108 grad_norm: 7.3512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/07/23 05:09:04 - mmengine - INFO - Epoch(train) [58][840/3757] lr: 1.0000e-03 eta: 10:27:02 time: 0.2245 data_time: 0.0205 memory: 6108 grad_norm: 6.9227 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2622 loss: 1.2622 2022/07/23 05:09:07 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:09:09 - mmengine - INFO - Epoch(train) [58][860/3757] lr: 1.0000e-03 eta: 10:26:58 time: 0.2384 data_time: 0.0241 memory: 6108 grad_norm: 7.3880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4580 loss: 1.4580 2022/07/23 05:09:15 - mmengine - INFO - Epoch(train) [58][880/3757] lr: 1.0000e-03 eta: 10:26:54 time: 0.3125 data_time: 0.0166 memory: 6108 grad_norm: 6.9810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/07/23 05:09:20 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 1.0000e-03 eta: 10:26:49 time: 0.2330 data_time: 0.0206 memory: 6108 grad_norm: 7.2313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5331 loss: 1.5331 2022/07/23 05:09:24 - mmengine - INFO - Epoch(train) [58][920/3757] lr: 1.0000e-03 eta: 10:26:45 time: 0.2295 data_time: 0.0202 memory: 6108 grad_norm: 7.0015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/07/23 05:09:29 - mmengine - INFO - Epoch(train) [58][940/3757] lr: 1.0000e-03 eta: 10:26:40 time: 0.2262 data_time: 0.0212 memory: 6108 grad_norm: 7.3344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2062 loss: 1.2062 2022/07/23 05:09:34 - mmengine - INFO - Epoch(train) [58][960/3757] lr: 1.0000e-03 eta: 10:26:35 time: 0.2262 data_time: 0.0225 memory: 6108 grad_norm: 7.1361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/07/23 05:09:38 - mmengine - INFO - Epoch(train) [58][980/3757] lr: 1.0000e-03 eta: 10:26:31 time: 0.2436 data_time: 0.0208 memory: 6108 grad_norm: 7.1758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7032 loss: 1.7032 2022/07/23 05:09:43 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 1.0000e-03 eta: 10:26:26 time: 0.2299 data_time: 0.0229 memory: 6108 grad_norm: 7.2060 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/07/23 05:09:48 - mmengine - INFO - Epoch(train) [58][1020/3757] lr: 1.0000e-03 eta: 10:26:21 time: 0.2411 data_time: 0.0351 memory: 6108 grad_norm: 6.8817 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3636 loss: 1.3636 2022/07/23 05:09:53 - mmengine - INFO - Epoch(train) [58][1040/3757] lr: 1.0000e-03 eta: 10:26:17 time: 0.2323 data_time: 0.0193 memory: 6108 grad_norm: 7.0673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4667 loss: 1.4667 2022/07/23 05:09:57 - mmengine - INFO - Epoch(train) [58][1060/3757] lr: 1.0000e-03 eta: 10:26:12 time: 0.2351 data_time: 0.0217 memory: 6108 grad_norm: 7.1293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5773 loss: 1.5773 2022/07/23 05:10:03 - mmengine - INFO - Epoch(train) [58][1080/3757] lr: 1.0000e-03 eta: 10:26:08 time: 0.2646 data_time: 0.0713 memory: 6108 grad_norm: 6.9839 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/07/23 05:10:07 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 1.0000e-03 eta: 10:26:03 time: 0.2356 data_time: 0.0298 memory: 6108 grad_norm: 7.1875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4787 loss: 1.4787 2022/07/23 05:10:12 - mmengine - INFO - Epoch(train) [58][1120/3757] lr: 1.0000e-03 eta: 10:25:58 time: 0.2310 data_time: 0.0247 memory: 6108 grad_norm: 7.0232 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3195 loss: 1.3195 2022/07/23 05:10:17 - mmengine - INFO - Epoch(train) [58][1140/3757] lr: 1.0000e-03 eta: 10:25:54 time: 0.2498 data_time: 0.0264 memory: 6108 grad_norm: 7.0586 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5357 loss: 1.5357 2022/07/23 05:10:22 - mmengine - INFO - Epoch(train) [58][1160/3757] lr: 1.0000e-03 eta: 10:25:49 time: 0.2336 data_time: 0.0219 memory: 6108 grad_norm: 7.0174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2645 loss: 1.2645 2022/07/23 05:10:26 - mmengine - INFO - Epoch(train) [58][1180/3757] lr: 1.0000e-03 eta: 10:25:45 time: 0.2395 data_time: 0.0246 memory: 6108 grad_norm: 7.2606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4553 loss: 1.4553 2022/07/23 05:10:31 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 1.0000e-03 eta: 10:25:40 time: 0.2288 data_time: 0.0205 memory: 6108 grad_norm: 6.9180 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3326 loss: 1.3326 2022/07/23 05:10:36 - mmengine - INFO - Epoch(train) [58][1220/3757] lr: 1.0000e-03 eta: 10:25:35 time: 0.2540 data_time: 0.0204 memory: 6108 grad_norm: 7.4081 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5944 loss: 1.5944 2022/07/23 05:10:41 - mmengine - INFO - Epoch(train) [58][1240/3757] lr: 1.0000e-03 eta: 10:25:31 time: 0.2253 data_time: 0.0290 memory: 6108 grad_norm: 7.0466 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/07/23 05:10:45 - mmengine - INFO - Epoch(train) [58][1260/3757] lr: 1.0000e-03 eta: 10:25:26 time: 0.2262 data_time: 0.0243 memory: 6108 grad_norm: 6.9726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3040 loss: 1.3040 2022/07/23 05:10:50 - mmengine - INFO - Epoch(train) [58][1280/3757] lr: 1.0000e-03 eta: 10:25:21 time: 0.2336 data_time: 0.0228 memory: 6108 grad_norm: 6.9749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5307 loss: 1.5307 2022/07/23 05:10:55 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 1.0000e-03 eta: 10:25:16 time: 0.2398 data_time: 0.0235 memory: 6108 grad_norm: 7.0693 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3409 loss: 1.3409 2022/07/23 05:10:59 - mmengine - INFO - Epoch(train) [58][1320/3757] lr: 1.0000e-03 eta: 10:25:12 time: 0.2336 data_time: 0.0230 memory: 6108 grad_norm: 7.1242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7573 loss: 1.7573 2022/07/23 05:11:04 - mmengine - INFO - Epoch(train) [58][1340/3757] lr: 1.0000e-03 eta: 10:25:07 time: 0.2267 data_time: 0.0274 memory: 6108 grad_norm: 7.1898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3199 loss: 1.3199 2022/07/23 05:11:09 - mmengine - INFO - Epoch(train) [58][1360/3757] lr: 1.0000e-03 eta: 10:25:02 time: 0.2343 data_time: 0.0211 memory: 6108 grad_norm: 7.2504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5577 loss: 1.5577 2022/07/23 05:11:13 - mmengine - INFO - Epoch(train) [58][1380/3757] lr: 1.0000e-03 eta: 10:24:58 time: 0.2272 data_time: 0.0244 memory: 6108 grad_norm: 7.1263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3806 loss: 1.3806 2022/07/23 05:11:19 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 1.0000e-03 eta: 10:24:53 time: 0.2629 data_time: 0.0199 memory: 6108 grad_norm: 7.2416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/07/23 05:11:23 - mmengine - INFO - Epoch(train) [58][1420/3757] lr: 1.0000e-03 eta: 10:24:49 time: 0.2370 data_time: 0.0254 memory: 6108 grad_norm: 7.0900 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5464 loss: 1.5464 2022/07/23 05:11:28 - mmengine - INFO - Epoch(train) [58][1440/3757] lr: 1.0000e-03 eta: 10:24:44 time: 0.2271 data_time: 0.0224 memory: 6108 grad_norm: 7.1808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/23 05:11:32 - mmengine - INFO - Epoch(train) [58][1460/3757] lr: 1.0000e-03 eta: 10:24:39 time: 0.2252 data_time: 0.0240 memory: 6108 grad_norm: 7.4518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7981 loss: 1.7981 2022/07/23 05:11:37 - mmengine - INFO - Epoch(train) [58][1480/3757] lr: 1.0000e-03 eta: 10:24:34 time: 0.2441 data_time: 0.0257 memory: 6108 grad_norm: 7.2414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4096 loss: 1.4096 2022/07/23 05:11:42 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 1.0000e-03 eta: 10:24:30 time: 0.2329 data_time: 0.0199 memory: 6108 grad_norm: 7.1948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3658 loss: 1.3658 2022/07/23 05:11:47 - mmengine - INFO - Epoch(train) [58][1520/3757] lr: 1.0000e-03 eta: 10:24:25 time: 0.2302 data_time: 0.0329 memory: 6108 grad_norm: 6.9516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4197 loss: 1.4197 2022/07/23 05:11:51 - mmengine - INFO - Epoch(train) [58][1540/3757] lr: 1.0000e-03 eta: 10:24:20 time: 0.2286 data_time: 0.0252 memory: 6108 grad_norm: 7.1986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6539 loss: 1.6539 2022/07/23 05:11:56 - mmengine - INFO - Epoch(train) [58][1560/3757] lr: 1.0000e-03 eta: 10:24:16 time: 0.2450 data_time: 0.0267 memory: 6108 grad_norm: 6.7981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/07/23 05:12:01 - mmengine - INFO - Epoch(train) [58][1580/3757] lr: 1.0000e-03 eta: 10:24:11 time: 0.2259 data_time: 0.0198 memory: 6108 grad_norm: 7.3088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6767 loss: 1.6767 2022/07/23 05:12:05 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 1.0000e-03 eta: 10:24:06 time: 0.2273 data_time: 0.0226 memory: 6108 grad_norm: 7.1590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4526 loss: 1.4526 2022/07/23 05:12:10 - mmengine - INFO - Epoch(train) [58][1620/3757] lr: 1.0000e-03 eta: 10:24:01 time: 0.2274 data_time: 0.0191 memory: 6108 grad_norm: 6.9456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3189 loss: 1.3189 2022/07/23 05:12:14 - mmengine - INFO - Epoch(train) [58][1640/3757] lr: 1.0000e-03 eta: 10:23:57 time: 0.2243 data_time: 0.0210 memory: 6108 grad_norm: 7.3581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3457 loss: 1.3457 2022/07/23 05:12:19 - mmengine - INFO - Epoch(train) [58][1660/3757] lr: 1.0000e-03 eta: 10:23:52 time: 0.2428 data_time: 0.0312 memory: 6108 grad_norm: 6.7652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1580 loss: 1.1580 2022/07/23 05:12:24 - mmengine - INFO - Epoch(train) [58][1680/3757] lr: 1.0000e-03 eta: 10:23:47 time: 0.2329 data_time: 0.0236 memory: 6108 grad_norm: 7.2438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2181 loss: 1.2181 2022/07/23 05:12:29 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 1.0000e-03 eta: 10:23:43 time: 0.2329 data_time: 0.0192 memory: 6108 grad_norm: 7.1656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4648 loss: 1.4648 2022/07/23 05:12:33 - mmengine - INFO - Epoch(train) [58][1720/3757] lr: 1.0000e-03 eta: 10:23:38 time: 0.2267 data_time: 0.0240 memory: 6108 grad_norm: 7.2165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2852 loss: 1.2852 2022/07/23 05:12:42 - mmengine - INFO - Epoch(train) [58][1740/3757] lr: 1.0000e-03 eta: 10:23:36 time: 0.4542 data_time: 0.2482 memory: 6108 grad_norm: 7.0537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4610 loss: 1.4610 2022/07/23 05:12:47 - mmengine - INFO - Epoch(train) [58][1760/3757] lr: 1.0000e-03 eta: 10:23:32 time: 0.2321 data_time: 0.0287 memory: 6108 grad_norm: 7.1395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6693 loss: 1.6693 2022/07/23 05:12:51 - mmengine - INFO - Epoch(train) [58][1780/3757] lr: 1.0000e-03 eta: 10:23:27 time: 0.2243 data_time: 0.0183 memory: 6108 grad_norm: 7.5665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5189 loss: 1.5189 2022/07/23 05:12:56 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 1.0000e-03 eta: 10:23:22 time: 0.2555 data_time: 0.0250 memory: 6108 grad_norm: 7.0163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5673 loss: 1.5673 2022/07/23 05:13:01 - mmengine - INFO - Epoch(train) [58][1820/3757] lr: 1.0000e-03 eta: 10:23:18 time: 0.2276 data_time: 0.0223 memory: 6108 grad_norm: 7.0757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2784 loss: 1.2784 2022/07/23 05:13:06 - mmengine - INFO - Epoch(train) [58][1840/3757] lr: 1.0000e-03 eta: 10:23:13 time: 0.2306 data_time: 0.0262 memory: 6108 grad_norm: 7.3991 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5629 loss: 1.5629 2022/07/23 05:13:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:13:10 - mmengine - INFO - Epoch(train) [58][1860/3757] lr: 1.0000e-03 eta: 10:23:08 time: 0.2343 data_time: 0.0217 memory: 6108 grad_norm: 7.1720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6669 loss: 1.6669 2022/07/23 05:13:16 - mmengine - INFO - Epoch(train) [58][1880/3757] lr: 1.0000e-03 eta: 10:23:04 time: 0.2612 data_time: 0.0237 memory: 6108 grad_norm: 7.3197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/07/23 05:13:20 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 1.0000e-03 eta: 10:22:59 time: 0.2221 data_time: 0.0210 memory: 6108 grad_norm: 7.2471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/07/23 05:13:25 - mmengine - INFO - Epoch(train) [58][1920/3757] lr: 1.0000e-03 eta: 10:22:54 time: 0.2320 data_time: 0.0213 memory: 6108 grad_norm: 7.2882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2647 loss: 1.2647 2022/07/23 05:13:29 - mmengine - INFO - Epoch(train) [58][1940/3757] lr: 1.0000e-03 eta: 10:22:50 time: 0.2264 data_time: 0.0240 memory: 6108 grad_norm: 6.8195 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3997 loss: 1.3997 2022/07/23 05:13:34 - mmengine - INFO - Epoch(train) [58][1960/3757] lr: 1.0000e-03 eta: 10:22:45 time: 0.2397 data_time: 0.0371 memory: 6108 grad_norm: 6.7200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/07/23 05:13:39 - mmengine - INFO - Epoch(train) [58][1980/3757] lr: 1.0000e-03 eta: 10:22:41 time: 0.2447 data_time: 0.0228 memory: 6108 grad_norm: 7.1986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3551 loss: 1.3551 2022/07/23 05:13:44 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 1.0000e-03 eta: 10:22:36 time: 0.2244 data_time: 0.0223 memory: 6108 grad_norm: 6.7679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/07/23 05:13:48 - mmengine - INFO - Epoch(train) [58][2020/3757] lr: 1.0000e-03 eta: 10:22:31 time: 0.2329 data_time: 0.0225 memory: 6108 grad_norm: 7.2015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3459 loss: 1.3459 2022/07/23 05:13:53 - mmengine - INFO - Epoch(train) [58][2040/3757] lr: 1.0000e-03 eta: 10:22:26 time: 0.2260 data_time: 0.0208 memory: 6108 grad_norm: 7.3005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6729 loss: 1.6729 2022/07/23 05:13:58 - mmengine - INFO - Epoch(train) [58][2060/3757] lr: 1.0000e-03 eta: 10:22:22 time: 0.2388 data_time: 0.0223 memory: 6108 grad_norm: 7.0389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4378 loss: 1.4378 2022/07/23 05:14:02 - mmengine - INFO - Epoch(train) [58][2080/3757] lr: 1.0000e-03 eta: 10:22:17 time: 0.2401 data_time: 0.0268 memory: 6108 grad_norm: 6.9204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5567 loss: 1.5567 2022/07/23 05:14:07 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 1.0000e-03 eta: 10:22:12 time: 0.2271 data_time: 0.0243 memory: 6108 grad_norm: 7.0730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4256 loss: 1.4256 2022/07/23 05:14:12 - mmengine - INFO - Epoch(train) [58][2120/3757] lr: 1.0000e-03 eta: 10:22:07 time: 0.2300 data_time: 0.0261 memory: 6108 grad_norm: 7.0613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7261 loss: 1.7261 2022/07/23 05:14:16 - mmengine - INFO - Epoch(train) [58][2140/3757] lr: 1.0000e-03 eta: 10:22:03 time: 0.2336 data_time: 0.0186 memory: 6108 grad_norm: 7.3791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5387 loss: 1.5387 2022/07/23 05:14:21 - mmengine - INFO - Epoch(train) [58][2160/3757] lr: 1.0000e-03 eta: 10:21:58 time: 0.2258 data_time: 0.0214 memory: 6108 grad_norm: 7.1678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3440 loss: 1.3440 2022/07/23 05:14:26 - mmengine - INFO - Epoch(train) [58][2180/3757] lr: 1.0000e-03 eta: 10:21:54 time: 0.2584 data_time: 0.0213 memory: 6108 grad_norm: 7.1889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/07/23 05:14:31 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 1.0000e-03 eta: 10:21:49 time: 0.2252 data_time: 0.0235 memory: 6108 grad_norm: 7.3750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1857 loss: 1.1857 2022/07/23 05:14:35 - mmengine - INFO - Epoch(train) [58][2220/3757] lr: 1.0000e-03 eta: 10:21:44 time: 0.2319 data_time: 0.0251 memory: 6108 grad_norm: 7.4491 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6272 loss: 1.6272 2022/07/23 05:14:40 - mmengine - INFO - Epoch(train) [58][2240/3757] lr: 1.0000e-03 eta: 10:21:39 time: 0.2293 data_time: 0.0224 memory: 6108 grad_norm: 7.4447 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4397 loss: 1.4397 2022/07/23 05:14:45 - mmengine - INFO - Epoch(train) [58][2260/3757] lr: 1.0000e-03 eta: 10:21:35 time: 0.2459 data_time: 0.0400 memory: 6108 grad_norm: 6.8702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3542 loss: 1.3542 2022/07/23 05:14:49 - mmengine - INFO - Epoch(train) [58][2280/3757] lr: 1.0000e-03 eta: 10:21:30 time: 0.2257 data_time: 0.0217 memory: 6108 grad_norm: 6.9828 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5508 loss: 1.5508 2022/07/23 05:14:54 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 1.0000e-03 eta: 10:21:25 time: 0.2274 data_time: 0.0232 memory: 6108 grad_norm: 7.2711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3241 loss: 1.3241 2022/07/23 05:14:59 - mmengine - INFO - Epoch(train) [58][2320/3757] lr: 1.0000e-03 eta: 10:21:21 time: 0.2479 data_time: 0.0234 memory: 6108 grad_norm: 7.0297 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5836 loss: 1.5836 2022/07/23 05:15:04 - mmengine - INFO - Epoch(train) [58][2340/3757] lr: 1.0000e-03 eta: 10:21:16 time: 0.2447 data_time: 0.0210 memory: 6108 grad_norm: 7.2257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4219 loss: 1.4219 2022/07/23 05:15:08 - mmengine - INFO - Epoch(train) [58][2360/3757] lr: 1.0000e-03 eta: 10:21:11 time: 0.2260 data_time: 0.0214 memory: 6108 grad_norm: 7.0914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/07/23 05:15:13 - mmengine - INFO - Epoch(train) [58][2380/3757] lr: 1.0000e-03 eta: 10:21:07 time: 0.2253 data_time: 0.0204 memory: 6108 grad_norm: 7.2628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5841 loss: 1.5841 2022/07/23 05:15:18 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 1.0000e-03 eta: 10:21:02 time: 0.2423 data_time: 0.0190 memory: 6108 grad_norm: 7.1020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3971 loss: 1.3971 2022/07/23 05:15:22 - mmengine - INFO - Epoch(train) [58][2420/3757] lr: 1.0000e-03 eta: 10:20:57 time: 0.2280 data_time: 0.0243 memory: 6108 grad_norm: 7.2752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2471 loss: 1.2471 2022/07/23 05:15:27 - mmengine - INFO - Epoch(train) [58][2440/3757] lr: 1.0000e-03 eta: 10:20:53 time: 0.2318 data_time: 0.0225 memory: 6108 grad_norm: 7.2288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4817 loss: 1.4817 2022/07/23 05:15:32 - mmengine - INFO - Epoch(train) [58][2460/3757] lr: 1.0000e-03 eta: 10:20:48 time: 0.2421 data_time: 0.0363 memory: 6108 grad_norm: 6.8642 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2901 loss: 1.2901 2022/07/23 05:15:37 - mmengine - INFO - Epoch(train) [58][2480/3757] lr: 1.0000e-03 eta: 10:20:43 time: 0.2410 data_time: 0.0265 memory: 6108 grad_norm: 7.1366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1569 loss: 1.1569 2022/07/23 05:15:41 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 1.0000e-03 eta: 10:20:39 time: 0.2267 data_time: 0.0251 memory: 6108 grad_norm: 7.1812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6244 loss: 1.6244 2022/07/23 05:15:46 - mmengine - INFO - Epoch(train) [58][2520/3757] lr: 1.0000e-03 eta: 10:20:34 time: 0.2365 data_time: 0.0251 memory: 6108 grad_norm: 7.1967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2899 loss: 1.2899 2022/07/23 05:15:51 - mmengine - INFO - Epoch(train) [58][2540/3757] lr: 1.0000e-03 eta: 10:20:29 time: 0.2300 data_time: 0.0230 memory: 6108 grad_norm: 7.0866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/07/23 05:15:55 - mmengine - INFO - Epoch(train) [58][2560/3757] lr: 1.0000e-03 eta: 10:20:25 time: 0.2439 data_time: 0.0231 memory: 6108 grad_norm: 7.1829 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2968 loss: 1.2968 2022/07/23 05:16:00 - mmengine - INFO - Epoch(train) [58][2580/3757] lr: 1.0000e-03 eta: 10:20:20 time: 0.2331 data_time: 0.0264 memory: 6108 grad_norm: 7.0418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/07/23 05:16:05 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 1.0000e-03 eta: 10:20:15 time: 0.2267 data_time: 0.0239 memory: 6108 grad_norm: 7.5623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4403 loss: 1.4403 2022/07/23 05:16:09 - mmengine - INFO - Epoch(train) [58][2620/3757] lr: 1.0000e-03 eta: 10:20:10 time: 0.2284 data_time: 0.0202 memory: 6108 grad_norm: 7.1126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1466 loss: 1.1466 2022/07/23 05:16:14 - mmengine - INFO - Epoch(train) [58][2640/3757] lr: 1.0000e-03 eta: 10:20:06 time: 0.2603 data_time: 0.0181 memory: 6108 grad_norm: 7.2944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5271 loss: 1.5271 2022/07/23 05:16:19 - mmengine - INFO - Epoch(train) [58][2660/3757] lr: 1.0000e-03 eta: 10:20:02 time: 0.2369 data_time: 0.0232 memory: 6108 grad_norm: 7.1504 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2610 loss: 1.2610 2022/07/23 05:16:24 - mmengine - INFO - Epoch(train) [58][2680/3757] lr: 1.0000e-03 eta: 10:19:57 time: 0.2261 data_time: 0.0209 memory: 6108 grad_norm: 7.0332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2874 loss: 1.2874 2022/07/23 05:16:28 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 1.0000e-03 eta: 10:19:52 time: 0.2274 data_time: 0.0177 memory: 6108 grad_norm: 7.0609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3226 loss: 1.3226 2022/07/23 05:16:33 - mmengine - INFO - Epoch(train) [58][2720/3757] lr: 1.0000e-03 eta: 10:19:47 time: 0.2326 data_time: 0.0200 memory: 6108 grad_norm: 7.1700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6845 loss: 1.6845 2022/07/23 05:16:38 - mmengine - INFO - Epoch(train) [58][2740/3757] lr: 1.0000e-03 eta: 10:19:43 time: 0.2404 data_time: 0.0197 memory: 6108 grad_norm: 7.3965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3355 loss: 1.3355 2022/07/23 05:16:42 - mmengine - INFO - Epoch(train) [58][2760/3757] lr: 1.0000e-03 eta: 10:19:38 time: 0.2297 data_time: 0.0208 memory: 6108 grad_norm: 7.2598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2510 loss: 1.2510 2022/07/23 05:16:47 - mmengine - INFO - Epoch(train) [58][2780/3757] lr: 1.0000e-03 eta: 10:19:33 time: 0.2349 data_time: 0.0208 memory: 6108 grad_norm: 6.8315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/07/23 05:16:52 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 1.0000e-03 eta: 10:19:28 time: 0.2316 data_time: 0.0209 memory: 6108 grad_norm: 7.3432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4556 loss: 1.4556 2022/07/23 05:16:57 - mmengine - INFO - Epoch(train) [58][2820/3757] lr: 1.0000e-03 eta: 10:19:24 time: 0.2378 data_time: 0.0200 memory: 6108 grad_norm: 7.2272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4614 loss: 1.4614 2022/07/23 05:17:01 - mmengine - INFO - Epoch(train) [58][2840/3757] lr: 1.0000e-03 eta: 10:19:19 time: 0.2265 data_time: 0.0214 memory: 6108 grad_norm: 7.0720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1813 loss: 1.1813 2022/07/23 05:17:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:17:06 - mmengine - INFO - Epoch(train) [58][2860/3757] lr: 1.0000e-03 eta: 10:19:14 time: 0.2324 data_time: 0.0245 memory: 6108 grad_norm: 7.3440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3079 loss: 1.3079 2022/07/23 05:17:11 - mmengine - INFO - Epoch(train) [58][2880/3757] lr: 1.0000e-03 eta: 10:19:10 time: 0.2375 data_time: 0.0182 memory: 6108 grad_norm: 7.3381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5599 loss: 1.5599 2022/07/23 05:17:16 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 1.0000e-03 eta: 10:19:05 time: 0.2437 data_time: 0.0210 memory: 6108 grad_norm: 7.1253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1561 loss: 1.1561 2022/07/23 05:17:20 - mmengine - INFO - Epoch(train) [58][2920/3757] lr: 1.0000e-03 eta: 10:19:00 time: 0.2284 data_time: 0.0198 memory: 6108 grad_norm: 7.2320 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2989 loss: 1.2989 2022/07/23 05:17:25 - mmengine - INFO - Epoch(train) [58][2940/3757] lr: 1.0000e-03 eta: 10:18:56 time: 0.2342 data_time: 0.0232 memory: 6108 grad_norm: 7.2523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4148 loss: 1.4148 2022/07/23 05:17:29 - mmengine - INFO - Epoch(train) [58][2960/3757] lr: 1.0000e-03 eta: 10:18:51 time: 0.2299 data_time: 0.0268 memory: 6108 grad_norm: 7.4185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6449 loss: 1.6449 2022/07/23 05:17:34 - mmengine - INFO - Epoch(train) [58][2980/3757] lr: 1.0000e-03 eta: 10:18:46 time: 0.2243 data_time: 0.0229 memory: 6108 grad_norm: 7.0770 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2128 loss: 1.2128 2022/07/23 05:17:39 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 1.0000e-03 eta: 10:18:42 time: 0.2521 data_time: 0.0221 memory: 6108 grad_norm: 7.0881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4353 loss: 1.4353 2022/07/23 05:17:44 - mmengine - INFO - Epoch(train) [58][3020/3757] lr: 1.0000e-03 eta: 10:18:37 time: 0.2259 data_time: 0.0270 memory: 6108 grad_norm: 7.3726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3192 loss: 1.3192 2022/07/23 05:17:48 - mmengine - INFO - Epoch(train) [58][3040/3757] lr: 1.0000e-03 eta: 10:18:32 time: 0.2323 data_time: 0.0251 memory: 6108 grad_norm: 7.1657 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4741 loss: 1.4741 2022/07/23 05:17:53 - mmengine - INFO - Epoch(train) [58][3060/3757] lr: 1.0000e-03 eta: 10:18:27 time: 0.2242 data_time: 0.0189 memory: 6108 grad_norm: 7.0039 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6201 loss: 1.6201 2022/07/23 05:17:58 - mmengine - INFO - Epoch(train) [58][3080/3757] lr: 1.0000e-03 eta: 10:18:23 time: 0.2416 data_time: 0.0280 memory: 6108 grad_norm: 6.9412 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5103 loss: 1.5103 2022/07/23 05:18:02 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 1.0000e-03 eta: 10:18:18 time: 0.2283 data_time: 0.0211 memory: 6108 grad_norm: 7.2479 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4270 loss: 1.4270 2022/07/23 05:18:07 - mmengine - INFO - Epoch(train) [58][3120/3757] lr: 1.0000e-03 eta: 10:18:13 time: 0.2357 data_time: 0.0233 memory: 6108 grad_norm: 7.4579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5594 loss: 1.5594 2022/07/23 05:18:11 - mmengine - INFO - Epoch(train) [58][3140/3757] lr: 1.0000e-03 eta: 10:18:09 time: 0.2242 data_time: 0.0225 memory: 6108 grad_norm: 7.0930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/07/23 05:18:16 - mmengine - INFO - Epoch(train) [58][3160/3757] lr: 1.0000e-03 eta: 10:18:04 time: 0.2296 data_time: 0.0198 memory: 6108 grad_norm: 7.2848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/07/23 05:18:21 - mmengine - INFO - Epoch(train) [58][3180/3757] lr: 1.0000e-03 eta: 10:17:59 time: 0.2405 data_time: 0.0191 memory: 6108 grad_norm: 7.1500 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5396 loss: 1.5396 2022/07/23 05:18:26 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 1.0000e-03 eta: 10:17:55 time: 0.2502 data_time: 0.0225 memory: 6108 grad_norm: 7.1085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1639 loss: 1.1639 2022/07/23 05:18:30 - mmengine - INFO - Epoch(train) [58][3220/3757] lr: 1.0000e-03 eta: 10:17:50 time: 0.2235 data_time: 0.0194 memory: 6108 grad_norm: 7.1481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3845 loss: 1.3845 2022/07/23 05:18:35 - mmengine - INFO - Epoch(train) [58][3240/3757] lr: 1.0000e-03 eta: 10:17:45 time: 0.2256 data_time: 0.0268 memory: 6108 grad_norm: 7.3192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5693 loss: 1.5693 2022/07/23 05:18:39 - mmengine - INFO - Epoch(train) [58][3260/3757] lr: 1.0000e-03 eta: 10:17:40 time: 0.2285 data_time: 0.0243 memory: 6108 grad_norm: 7.0584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/07/23 05:18:44 - mmengine - INFO - Epoch(train) [58][3280/3757] lr: 1.0000e-03 eta: 10:17:36 time: 0.2333 data_time: 0.0216 memory: 6108 grad_norm: 7.3355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/07/23 05:18:49 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 1.0000e-03 eta: 10:17:31 time: 0.2477 data_time: 0.0271 memory: 6108 grad_norm: 7.3150 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4369 loss: 1.4369 2022/07/23 05:18:54 - mmengine - INFO - Epoch(train) [58][3320/3757] lr: 1.0000e-03 eta: 10:17:26 time: 0.2274 data_time: 0.0260 memory: 6108 grad_norm: 7.0605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4349 loss: 1.4349 2022/07/23 05:18:58 - mmengine - INFO - Epoch(train) [58][3340/3757] lr: 1.0000e-03 eta: 10:17:22 time: 0.2285 data_time: 0.0204 memory: 6108 grad_norm: 7.1516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1824 loss: 1.1824 2022/07/23 05:19:03 - mmengine - INFO - Epoch(train) [58][3360/3757] lr: 1.0000e-03 eta: 10:17:17 time: 0.2473 data_time: 0.0230 memory: 6108 grad_norm: 7.2923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3237 loss: 1.3237 2022/07/23 05:19:08 - mmengine - INFO - Epoch(train) [58][3380/3757] lr: 1.0000e-03 eta: 10:17:13 time: 0.2510 data_time: 0.0254 memory: 6108 grad_norm: 7.1829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2752 loss: 1.2752 2022/07/23 05:19:13 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 1.0000e-03 eta: 10:17:08 time: 0.2237 data_time: 0.0193 memory: 6108 grad_norm: 6.9870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1872 loss: 1.1872 2022/07/23 05:19:18 - mmengine - INFO - Epoch(train) [58][3420/3757] lr: 1.0000e-03 eta: 10:17:03 time: 0.2377 data_time: 0.0246 memory: 6108 grad_norm: 6.9955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6934 loss: 1.6934 2022/07/23 05:19:23 - mmengine - INFO - Epoch(train) [58][3440/3757] lr: 1.0000e-03 eta: 10:16:59 time: 0.2522 data_time: 0.0212 memory: 6108 grad_norm: 7.1152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2014 loss: 1.2014 2022/07/23 05:19:27 - mmengine - INFO - Epoch(train) [58][3460/3757] lr: 1.0000e-03 eta: 10:16:54 time: 0.2300 data_time: 0.0204 memory: 6108 grad_norm: 7.0895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/07/23 05:19:32 - mmengine - INFO - Epoch(train) [58][3480/3757] lr: 1.0000e-03 eta: 10:16:49 time: 0.2275 data_time: 0.0209 memory: 6108 grad_norm: 7.0961 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4078 loss: 1.4078 2022/07/23 05:19:37 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 1.0000e-03 eta: 10:16:45 time: 0.2375 data_time: 0.0300 memory: 6108 grad_norm: 6.9901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4577 loss: 1.4577 2022/07/23 05:19:41 - mmengine - INFO - Epoch(train) [58][3520/3757] lr: 1.0000e-03 eta: 10:16:40 time: 0.2227 data_time: 0.0213 memory: 6108 grad_norm: 6.8027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4210 loss: 1.4210 2022/07/23 05:19:46 - mmengine - INFO - Epoch(train) [58][3540/3757] lr: 1.0000e-03 eta: 10:16:35 time: 0.2510 data_time: 0.0271 memory: 6108 grad_norm: 7.5785 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4778 loss: 1.4778 2022/07/23 05:19:51 - mmengine - INFO - Epoch(train) [58][3560/3757] lr: 1.0000e-03 eta: 10:16:31 time: 0.2296 data_time: 0.0275 memory: 6108 grad_norm: 7.2134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3110 loss: 1.3110 2022/07/23 05:19:55 - mmengine - INFO - Epoch(train) [58][3580/3757] lr: 1.0000e-03 eta: 10:16:26 time: 0.2302 data_time: 0.0156 memory: 6108 grad_norm: 6.9919 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2335 loss: 1.2335 2022/07/23 05:20:00 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 1.0000e-03 eta: 10:16:21 time: 0.2317 data_time: 0.0247 memory: 6108 grad_norm: 7.4534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5998 loss: 1.5998 2022/07/23 05:20:05 - mmengine - INFO - Epoch(train) [58][3620/3757] lr: 1.0000e-03 eta: 10:16:17 time: 0.2352 data_time: 0.0219 memory: 6108 grad_norm: 7.4120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2065 loss: 1.2065 2022/07/23 05:20:10 - mmengine - INFO - Epoch(train) [58][3640/3757] lr: 1.0000e-03 eta: 10:16:12 time: 0.2461 data_time: 0.0302 memory: 6108 grad_norm: 7.3266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4725 loss: 1.4725 2022/07/23 05:20:15 - mmengine - INFO - Epoch(train) [58][3660/3757] lr: 1.0000e-03 eta: 10:16:08 time: 0.2511 data_time: 0.0164 memory: 6108 grad_norm: 7.4917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1436 loss: 1.1436 2022/07/23 05:20:20 - mmengine - INFO - Epoch(train) [58][3680/3757] lr: 1.0000e-03 eta: 10:16:03 time: 0.2495 data_time: 0.0256 memory: 6108 grad_norm: 7.2326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/07/23 05:20:24 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 1.0000e-03 eta: 10:15:58 time: 0.2310 data_time: 0.0250 memory: 6108 grad_norm: 7.3361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4385 loss: 1.4385 2022/07/23 05:20:29 - mmengine - INFO - Epoch(train) [58][3720/3757] lr: 1.0000e-03 eta: 10:15:54 time: 0.2354 data_time: 0.0257 memory: 6108 grad_norm: 7.0063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2829 loss: 1.2829 2022/07/23 05:20:34 - mmengine - INFO - Epoch(train) [58][3740/3757] lr: 1.0000e-03 eta: 10:15:49 time: 0.2296 data_time: 0.0237 memory: 6108 grad_norm: 7.2794 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4147 loss: 1.4147 2022/07/23 05:20:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:20:37 - mmengine - INFO - Epoch(train) [58][3757/3757] lr: 1.0000e-03 eta: 10:15:49 time: 0.1983 data_time: 0.0120 memory: 6108 grad_norm: 7.3650 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3347 loss: 1.3347 2022/07/23 05:20:42 - mmengine - INFO - Epoch(val) [58][20/310] eta: 0:01:16 time: 0.2621 data_time: 0.1870 memory: 1428 2022/07/23 05:20:46 - mmengine - INFO - Epoch(val) [58][40/310] eta: 0:00:52 time: 0.1950 data_time: 0.1106 memory: 1428 2022/07/23 05:20:50 - mmengine - INFO - Epoch(val) [58][60/310] eta: 0:00:51 time: 0.2056 data_time: 0.1293 memory: 1428 2022/07/23 05:20:54 - mmengine - INFO - Epoch(val) [58][80/310] eta: 0:00:44 time: 0.1935 data_time: 0.1185 memory: 1428 2022/07/23 05:20:59 - mmengine - INFO - Epoch(val) [58][100/310] eta: 0:00:48 time: 0.2294 data_time: 0.1486 memory: 1428 2022/07/23 05:21:03 - mmengine - INFO - Epoch(val) [58][120/310] eta: 0:00:40 time: 0.2120 data_time: 0.1407 memory: 1428 2022/07/23 05:21:08 - mmengine - INFO - Epoch(val) [58][140/310] eta: 0:00:39 time: 0.2329 data_time: 0.1579 memory: 1428 2022/07/23 05:21:12 - mmengine - INFO - Epoch(val) [58][160/310] eta: 0:00:32 time: 0.2190 data_time: 0.1452 memory: 1428 2022/07/23 05:21:17 - mmengine - INFO - Epoch(val) [58][180/310] eta: 0:00:30 time: 0.2313 data_time: 0.1569 memory: 1428 2022/07/23 05:21:20 - mmengine - INFO - Epoch(val) [58][200/310] eta: 0:00:20 time: 0.1826 data_time: 0.1068 memory: 1428 2022/07/23 05:21:25 - mmengine - INFO - Epoch(val) [58][220/310] eta: 0:00:18 time: 0.2108 data_time: 0.1330 memory: 1428 2022/07/23 05:21:28 - mmengine - INFO - Epoch(val) [58][240/310] eta: 0:00:13 time: 0.1908 data_time: 0.1081 memory: 1428 2022/07/23 05:21:33 - mmengine - INFO - Epoch(val) [58][260/310] eta: 0:00:10 time: 0.2152 data_time: 0.1392 memory: 1428 2022/07/23 05:21:37 - mmengine - INFO - Epoch(val) [58][280/310] eta: 0:00:06 time: 0.2190 data_time: 0.1395 memory: 1428 2022/07/23 05:21:41 - mmengine - INFO - Epoch(val) [58][300/310] eta: 0:00:01 time: 0.1960 data_time: 0.1233 memory: 1428 2022/07/23 05:21:45 - mmengine - INFO - Epoch(val) [58][310/310] acc/top1: 0.6497 acc/top5: 0.8561 acc/mean1: 0.6495 2022/07/23 05:21:52 - mmengine - INFO - Epoch(train) [59][20/3757] lr: 1.0000e-03 eta: 10:15:39 time: 0.3298 data_time: 0.1064 memory: 6108 grad_norm: 7.3400 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5806 loss: 1.5806 2022/07/23 05:21:56 - mmengine - INFO - Epoch(train) [59][40/3757] lr: 1.0000e-03 eta: 10:15:34 time: 0.2427 data_time: 0.0161 memory: 6108 grad_norm: 7.3484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/07/23 05:22:01 - mmengine - INFO - Epoch(train) [59][60/3757] lr: 1.0000e-03 eta: 10:15:30 time: 0.2309 data_time: 0.0290 memory: 6108 grad_norm: 6.9500 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3873 loss: 1.3873 2022/07/23 05:22:06 - mmengine - INFO - Epoch(train) [59][80/3757] lr: 1.0000e-03 eta: 10:15:25 time: 0.2371 data_time: 0.0182 memory: 6108 grad_norm: 7.1769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3240 loss: 1.3240 2022/07/23 05:22:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:22:10 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 1.0000e-03 eta: 10:15:20 time: 0.2253 data_time: 0.0232 memory: 6108 grad_norm: 7.2184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3543 loss: 1.3543 2022/07/23 05:22:15 - mmengine - INFO - Epoch(train) [59][120/3757] lr: 1.0000e-03 eta: 10:15:15 time: 0.2273 data_time: 0.0230 memory: 6108 grad_norm: 7.2608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1903 loss: 1.1903 2022/07/23 05:22:19 - mmengine - INFO - Epoch(train) [59][140/3757] lr: 1.0000e-03 eta: 10:15:10 time: 0.2260 data_time: 0.0199 memory: 6108 grad_norm: 7.4156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4545 loss: 1.4545 2022/07/23 05:22:24 - mmengine - INFO - Epoch(train) [59][160/3757] lr: 1.0000e-03 eta: 10:15:06 time: 0.2341 data_time: 0.0222 memory: 6108 grad_norm: 7.1995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3813 loss: 1.3813 2022/07/23 05:22:29 - mmengine - INFO - Epoch(train) [59][180/3757] lr: 1.0000e-03 eta: 10:15:02 time: 0.2621 data_time: 0.0208 memory: 6108 grad_norm: 7.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5351 loss: 1.5351 2022/07/23 05:22:34 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 1.0000e-03 eta: 10:14:57 time: 0.2302 data_time: 0.0273 memory: 6108 grad_norm: 7.1913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3290 loss: 1.3290 2022/07/23 05:22:39 - mmengine - INFO - Epoch(train) [59][220/3757] lr: 1.0000e-03 eta: 10:14:52 time: 0.2321 data_time: 0.0225 memory: 6108 grad_norm: 7.2554 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/07/23 05:22:43 - mmengine - INFO - Epoch(train) [59][240/3757] lr: 1.0000e-03 eta: 10:14:47 time: 0.2312 data_time: 0.0213 memory: 6108 grad_norm: 7.1500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/07/23 05:22:48 - mmengine - INFO - Epoch(train) [59][260/3757] lr: 1.0000e-03 eta: 10:14:43 time: 0.2233 data_time: 0.0187 memory: 6108 grad_norm: 7.0860 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4806 loss: 1.4806 2022/07/23 05:22:53 - mmengine - INFO - Epoch(train) [59][280/3757] lr: 1.0000e-03 eta: 10:14:38 time: 0.2515 data_time: 0.0191 memory: 6108 grad_norm: 7.2786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3209 loss: 1.3209 2022/07/23 05:22:58 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 1.0000e-03 eta: 10:14:33 time: 0.2328 data_time: 0.0291 memory: 6108 grad_norm: 7.1338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4099 loss: 1.4099 2022/07/23 05:23:02 - mmengine - INFO - Epoch(train) [59][320/3757] lr: 1.0000e-03 eta: 10:14:29 time: 0.2239 data_time: 0.0228 memory: 6108 grad_norm: 7.0827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5804 loss: 1.5804 2022/07/23 05:23:07 - mmengine - INFO - Epoch(train) [59][340/3757] lr: 1.0000e-03 eta: 10:14:24 time: 0.2320 data_time: 0.0191 memory: 6108 grad_norm: 7.1626 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4781 loss: 1.4781 2022/07/23 05:23:11 - mmengine - INFO - Epoch(train) [59][360/3757] lr: 1.0000e-03 eta: 10:14:19 time: 0.2353 data_time: 0.0267 memory: 6108 grad_norm: 7.2234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7018 loss: 1.7018 2022/07/23 05:23:16 - mmengine - INFO - Epoch(train) [59][380/3757] lr: 1.0000e-03 eta: 10:14:15 time: 0.2385 data_time: 0.0201 memory: 6108 grad_norm: 7.0511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/07/23 05:23:21 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 1.0000e-03 eta: 10:14:10 time: 0.2475 data_time: 0.0283 memory: 6108 grad_norm: 6.9948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/07/23 05:23:26 - mmengine - INFO - Epoch(train) [59][420/3757] lr: 1.0000e-03 eta: 10:14:05 time: 0.2362 data_time: 0.0242 memory: 6108 grad_norm: 7.0525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1583 loss: 1.1583 2022/07/23 05:23:31 - mmengine - INFO - Epoch(train) [59][440/3757] lr: 1.0000e-03 eta: 10:14:01 time: 0.2351 data_time: 0.0230 memory: 6108 grad_norm: 7.0650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5874 loss: 1.5874 2022/07/23 05:23:35 - mmengine - INFO - Epoch(train) [59][460/3757] lr: 1.0000e-03 eta: 10:13:56 time: 0.2241 data_time: 0.0212 memory: 6108 grad_norm: 7.0599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4558 loss: 1.4558 2022/07/23 05:23:40 - mmengine - INFO - Epoch(train) [59][480/3757] lr: 1.0000e-03 eta: 10:13:51 time: 0.2310 data_time: 0.0249 memory: 6108 grad_norm: 7.1520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3653 loss: 1.3653 2022/07/23 05:23:45 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 1.0000e-03 eta: 10:13:46 time: 0.2321 data_time: 0.0218 memory: 6108 grad_norm: 7.2490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4246 loss: 1.4246 2022/07/23 05:23:49 - mmengine - INFO - Epoch(train) [59][520/3757] lr: 1.0000e-03 eta: 10:13:42 time: 0.2317 data_time: 0.0215 memory: 6108 grad_norm: 7.0716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5637 loss: 1.5637 2022/07/23 05:23:54 - mmengine - INFO - Epoch(train) [59][540/3757] lr: 1.0000e-03 eta: 10:13:37 time: 0.2338 data_time: 0.0244 memory: 6108 grad_norm: 7.3062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4016 loss: 1.4016 2022/07/23 05:23:59 - mmengine - INFO - Epoch(train) [59][560/3757] lr: 1.0000e-03 eta: 10:13:32 time: 0.2368 data_time: 0.0210 memory: 6108 grad_norm: 7.2034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3890 loss: 1.3890 2022/07/23 05:24:03 - mmengine - INFO - Epoch(train) [59][580/3757] lr: 1.0000e-03 eta: 10:13:28 time: 0.2303 data_time: 0.0227 memory: 6108 grad_norm: 7.3417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5987 loss: 1.5987 2022/07/23 05:24:08 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 1.0000e-03 eta: 10:13:23 time: 0.2430 data_time: 0.0266 memory: 6108 grad_norm: 7.1726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4821 loss: 1.4821 2022/07/23 05:24:13 - mmengine - INFO - Epoch(train) [59][620/3757] lr: 1.0000e-03 eta: 10:13:19 time: 0.2457 data_time: 0.0167 memory: 6108 grad_norm: 7.1881 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2913 loss: 1.2913 2022/07/23 05:24:18 - mmengine - INFO - Epoch(train) [59][640/3757] lr: 1.0000e-03 eta: 10:13:14 time: 0.2297 data_time: 0.0200 memory: 6108 grad_norm: 6.8458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1753 loss: 1.1753 2022/07/23 05:24:22 - mmengine - INFO - Epoch(train) [59][660/3757] lr: 1.0000e-03 eta: 10:13:09 time: 0.2301 data_time: 0.0253 memory: 6108 grad_norm: 7.4752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3859 loss: 1.3859 2022/07/23 05:24:27 - mmengine - INFO - Epoch(train) [59][680/3757] lr: 1.0000e-03 eta: 10:13:04 time: 0.2283 data_time: 0.0234 memory: 6108 grad_norm: 7.1128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6939 loss: 1.6939 2022/07/23 05:24:31 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 1.0000e-03 eta: 10:13:00 time: 0.2258 data_time: 0.0184 memory: 6108 grad_norm: 7.0927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2401 loss: 1.2401 2022/07/23 05:24:36 - mmengine - INFO - Epoch(train) [59][720/3757] lr: 1.0000e-03 eta: 10:12:55 time: 0.2503 data_time: 0.0215 memory: 6108 grad_norm: 7.3136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4086 loss: 1.4086 2022/07/23 05:24:41 - mmengine - INFO - Epoch(train) [59][740/3757] lr: 1.0000e-03 eta: 10:12:50 time: 0.2237 data_time: 0.0189 memory: 6108 grad_norm: 6.9838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4497 loss: 1.4497 2022/07/23 05:24:46 - mmengine - INFO - Epoch(train) [59][760/3757] lr: 1.0000e-03 eta: 10:12:46 time: 0.2400 data_time: 0.0229 memory: 6108 grad_norm: 7.2877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/07/23 05:24:51 - mmengine - INFO - Epoch(train) [59][780/3757] lr: 1.0000e-03 eta: 10:12:41 time: 0.2426 data_time: 0.0283 memory: 6108 grad_norm: 6.9547 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7228 loss: 1.7228 2022/07/23 05:24:55 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 1.0000e-03 eta: 10:12:36 time: 0.2238 data_time: 0.0195 memory: 6108 grad_norm: 7.2935 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4027 loss: 1.4027 2022/07/23 05:25:00 - mmengine - INFO - Epoch(train) [59][820/3757] lr: 1.0000e-03 eta: 10:12:32 time: 0.2290 data_time: 0.0223 memory: 6108 grad_norm: 7.1415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1240 loss: 1.1240 2022/07/23 05:25:04 - mmengine - INFO - Epoch(train) [59][840/3757] lr: 1.0000e-03 eta: 10:12:27 time: 0.2301 data_time: 0.0218 memory: 6108 grad_norm: 7.2561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/07/23 05:25:09 - mmengine - INFO - Epoch(train) [59][860/3757] lr: 1.0000e-03 eta: 10:12:22 time: 0.2275 data_time: 0.0201 memory: 6108 grad_norm: 7.0548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2477 loss: 1.2477 2022/07/23 05:25:14 - mmengine - INFO - Epoch(train) [59][880/3757] lr: 1.0000e-03 eta: 10:12:18 time: 0.2529 data_time: 0.0255 memory: 6108 grad_norm: 6.8903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4153 loss: 1.4153 2022/07/23 05:25:19 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 1.0000e-03 eta: 10:12:13 time: 0.2319 data_time: 0.0275 memory: 6108 grad_norm: 7.3768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4601 loss: 1.4601 2022/07/23 05:25:23 - mmengine - INFO - Epoch(train) [59][920/3757] lr: 1.0000e-03 eta: 10:12:08 time: 0.2272 data_time: 0.0257 memory: 6108 grad_norm: 7.1269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/07/23 05:25:28 - mmengine - INFO - Epoch(train) [59][940/3757] lr: 1.0000e-03 eta: 10:12:04 time: 0.2499 data_time: 0.0185 memory: 6108 grad_norm: 7.3122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3331 loss: 1.3331 2022/07/23 05:25:33 - mmengine - INFO - Epoch(train) [59][960/3757] lr: 1.0000e-03 eta: 10:11:59 time: 0.2256 data_time: 0.0211 memory: 6108 grad_norm: 7.3946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6304 loss: 1.6304 2022/07/23 05:25:37 - mmengine - INFO - Epoch(train) [59][980/3757] lr: 1.0000e-03 eta: 10:11:54 time: 0.2245 data_time: 0.0191 memory: 6108 grad_norm: 7.1403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0904 loss: 1.0904 2022/07/23 05:25:42 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 1.0000e-03 eta: 10:11:49 time: 0.2279 data_time: 0.0246 memory: 6108 grad_norm: 7.5513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3248 loss: 1.3248 2022/07/23 05:25:47 - mmengine - INFO - Epoch(train) [59][1020/3757] lr: 1.0000e-03 eta: 10:11:45 time: 0.2394 data_time: 0.0228 memory: 6108 grad_norm: 7.5968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3484 loss: 1.3484 2022/07/23 05:25:52 - mmengine - INFO - Epoch(train) [59][1040/3757] lr: 1.0000e-03 eta: 10:11:40 time: 0.2450 data_time: 0.0438 memory: 6108 grad_norm: 7.3185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/07/23 05:25:56 - mmengine - INFO - Epoch(train) [59][1060/3757] lr: 1.0000e-03 eta: 10:11:35 time: 0.2282 data_time: 0.0216 memory: 6108 grad_norm: 7.5983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4239 loss: 1.4239 2022/07/23 05:26:01 - mmengine - INFO - Epoch(train) [59][1080/3757] lr: 1.0000e-03 eta: 10:11:31 time: 0.2357 data_time: 0.0310 memory: 6108 grad_norm: 7.2779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3408 loss: 1.3408 2022/07/23 05:26:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:26:06 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 1.0000e-03 eta: 10:11:26 time: 0.2297 data_time: 0.0218 memory: 6108 grad_norm: 7.5337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4160 loss: 1.4160 2022/07/23 05:26:11 - mmengine - INFO - Epoch(train) [59][1120/3757] lr: 1.0000e-03 eta: 10:11:22 time: 0.2723 data_time: 0.0206 memory: 6108 grad_norm: 7.1836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6004 loss: 1.6004 2022/07/23 05:26:16 - mmengine - INFO - Epoch(train) [59][1140/3757] lr: 1.0000e-03 eta: 10:11:17 time: 0.2250 data_time: 0.0205 memory: 6108 grad_norm: 7.1143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3178 loss: 1.3178 2022/07/23 05:26:20 - mmengine - INFO - Epoch(train) [59][1160/3757] lr: 1.0000e-03 eta: 10:11:12 time: 0.2276 data_time: 0.0238 memory: 6108 grad_norm: 7.2763 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/07/23 05:26:25 - mmengine - INFO - Epoch(train) [59][1180/3757] lr: 1.0000e-03 eta: 10:11:08 time: 0.2424 data_time: 0.0380 memory: 6108 grad_norm: 7.1483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4508 loss: 1.4508 2022/07/23 05:26:30 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 1.0000e-03 eta: 10:11:03 time: 0.2412 data_time: 0.0226 memory: 6108 grad_norm: 7.0870 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3013 loss: 1.3013 2022/07/23 05:26:34 - mmengine - INFO - Epoch(train) [59][1220/3757] lr: 1.0000e-03 eta: 10:10:58 time: 0.2293 data_time: 0.0232 memory: 6108 grad_norm: 7.1437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2452 loss: 1.2452 2022/07/23 05:26:39 - mmengine - INFO - Epoch(train) [59][1240/3757] lr: 1.0000e-03 eta: 10:10:54 time: 0.2422 data_time: 0.0194 memory: 6108 grad_norm: 7.5850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/07/23 05:26:44 - mmengine - INFO - Epoch(train) [59][1260/3757] lr: 1.0000e-03 eta: 10:10:49 time: 0.2234 data_time: 0.0206 memory: 6108 grad_norm: 7.0413 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2557 loss: 1.2557 2022/07/23 05:26:48 - mmengine - INFO - Epoch(train) [59][1280/3757] lr: 1.0000e-03 eta: 10:10:44 time: 0.2306 data_time: 0.0190 memory: 6108 grad_norm: 7.4394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4349 loss: 1.4349 2022/07/23 05:26:53 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 1.0000e-03 eta: 10:10:39 time: 0.2287 data_time: 0.0193 memory: 6108 grad_norm: 6.9811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4930 loss: 1.4930 2022/07/23 05:26:58 - mmengine - INFO - Epoch(train) [59][1320/3757] lr: 1.0000e-03 eta: 10:10:35 time: 0.2382 data_time: 0.0264 memory: 6108 grad_norm: 7.2340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5025 loss: 1.5025 2022/07/23 05:27:02 - mmengine - INFO - Epoch(train) [59][1340/3757] lr: 1.0000e-03 eta: 10:10:30 time: 0.2275 data_time: 0.0211 memory: 6108 grad_norm: 7.5577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/07/23 05:27:07 - mmengine - INFO - Epoch(train) [59][1360/3757] lr: 1.0000e-03 eta: 10:10:25 time: 0.2296 data_time: 0.0262 memory: 6108 grad_norm: 7.2998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4396 loss: 1.4396 2022/07/23 05:27:11 - mmengine - INFO - Epoch(train) [59][1380/3757] lr: 1.0000e-03 eta: 10:10:20 time: 0.2245 data_time: 0.0222 memory: 6108 grad_norm: 7.2804 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4128 loss: 1.4128 2022/07/23 05:27:16 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 1.0000e-03 eta: 10:10:16 time: 0.2332 data_time: 0.0186 memory: 6108 grad_norm: 7.1697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5919 loss: 1.5919 2022/07/23 05:27:21 - mmengine - INFO - Epoch(train) [59][1420/3757] lr: 1.0000e-03 eta: 10:10:11 time: 0.2211 data_time: 0.0164 memory: 6108 grad_norm: 7.4033 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3729 loss: 1.3729 2022/07/23 05:27:26 - mmengine - INFO - Epoch(train) [59][1440/3757] lr: 1.0000e-03 eta: 10:10:06 time: 0.2478 data_time: 0.0208 memory: 6108 grad_norm: 7.5993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/07/23 05:27:30 - mmengine - INFO - Epoch(train) [59][1460/3757] lr: 1.0000e-03 eta: 10:10:02 time: 0.2291 data_time: 0.0207 memory: 6108 grad_norm: 7.1341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3362 loss: 1.3362 2022/07/23 05:27:35 - mmengine - INFO - Epoch(train) [59][1480/3757] lr: 1.0000e-03 eta: 10:09:57 time: 0.2299 data_time: 0.0261 memory: 6108 grad_norm: 7.4037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/07/23 05:27:40 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 1.0000e-03 eta: 10:09:52 time: 0.2402 data_time: 0.0250 memory: 6108 grad_norm: 7.1428 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4733 loss: 1.4733 2022/07/23 05:27:44 - mmengine - INFO - Epoch(train) [59][1520/3757] lr: 1.0000e-03 eta: 10:09:48 time: 0.2341 data_time: 0.0196 memory: 6108 grad_norm: 7.3189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4165 loss: 1.4165 2022/07/23 05:27:49 - mmengine - INFO - Epoch(train) [59][1540/3757] lr: 1.0000e-03 eta: 10:09:43 time: 0.2340 data_time: 0.0187 memory: 6108 grad_norm: 7.4425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/07/23 05:27:54 - mmengine - INFO - Epoch(train) [59][1560/3757] lr: 1.0000e-03 eta: 10:09:38 time: 0.2287 data_time: 0.0229 memory: 6108 grad_norm: 7.5283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5632 loss: 1.5632 2022/07/23 05:27:58 - mmengine - INFO - Epoch(train) [59][1580/3757] lr: 1.0000e-03 eta: 10:09:33 time: 0.2315 data_time: 0.0220 memory: 6108 grad_norm: 7.1718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4112 loss: 1.4112 2022/07/23 05:28:03 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 1.0000e-03 eta: 10:09:29 time: 0.2277 data_time: 0.0252 memory: 6108 grad_norm: 7.3051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2242 loss: 1.2242 2022/07/23 05:28:08 - mmengine - INFO - Epoch(train) [59][1620/3757] lr: 1.0000e-03 eta: 10:09:24 time: 0.2355 data_time: 0.0250 memory: 6108 grad_norm: 7.3241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6154 loss: 1.6154 2022/07/23 05:28:12 - mmengine - INFO - Epoch(train) [59][1640/3757] lr: 1.0000e-03 eta: 10:09:19 time: 0.2324 data_time: 0.0249 memory: 6108 grad_norm: 7.3260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5533 loss: 1.5533 2022/07/23 05:28:17 - mmengine - INFO - Epoch(train) [59][1660/3757] lr: 1.0000e-03 eta: 10:09:15 time: 0.2310 data_time: 0.0244 memory: 6108 grad_norm: 7.1065 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3284 loss: 1.3284 2022/07/23 05:28:21 - mmengine - INFO - Epoch(train) [59][1680/3757] lr: 1.0000e-03 eta: 10:09:10 time: 0.2268 data_time: 0.0225 memory: 6108 grad_norm: 7.3174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4256 loss: 1.4256 2022/07/23 05:28:26 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 1.0000e-03 eta: 10:09:05 time: 0.2317 data_time: 0.0273 memory: 6108 grad_norm: 7.2842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6150 loss: 1.6150 2022/07/23 05:28:31 - mmengine - INFO - Epoch(train) [59][1720/3757] lr: 1.0000e-03 eta: 10:09:00 time: 0.2315 data_time: 0.0203 memory: 6108 grad_norm: 7.0469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/07/23 05:28:36 - mmengine - INFO - Epoch(train) [59][1740/3757] lr: 1.0000e-03 eta: 10:08:56 time: 0.2407 data_time: 0.0299 memory: 6108 grad_norm: 7.3208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4287 loss: 1.4287 2022/07/23 05:28:41 - mmengine - INFO - Epoch(train) [59][1760/3757] lr: 1.0000e-03 eta: 10:08:51 time: 0.2575 data_time: 0.0178 memory: 6108 grad_norm: 7.3279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5092 loss: 1.5092 2022/07/23 05:28:46 - mmengine - INFO - Epoch(train) [59][1780/3757] lr: 1.0000e-03 eta: 10:08:47 time: 0.2365 data_time: 0.0241 memory: 6108 grad_norm: 7.2469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5369 loss: 1.5369 2022/07/23 05:28:50 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 1.0000e-03 eta: 10:08:42 time: 0.2442 data_time: 0.0225 memory: 6108 grad_norm: 7.1342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2755 loss: 1.2755 2022/07/23 05:28:55 - mmengine - INFO - Epoch(train) [59][1820/3757] lr: 1.0000e-03 eta: 10:08:38 time: 0.2295 data_time: 0.0207 memory: 6108 grad_norm: 6.7831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1284 loss: 1.1284 2022/07/23 05:29:00 - mmengine - INFO - Epoch(train) [59][1840/3757] lr: 1.0000e-03 eta: 10:08:33 time: 0.2351 data_time: 0.0241 memory: 6108 grad_norm: 7.4045 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/07/23 05:29:04 - mmengine - INFO - Epoch(train) [59][1860/3757] lr: 1.0000e-03 eta: 10:08:28 time: 0.2289 data_time: 0.0196 memory: 6108 grad_norm: 6.9943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/23 05:29:09 - mmengine - INFO - Epoch(train) [59][1880/3757] lr: 1.0000e-03 eta: 10:08:23 time: 0.2334 data_time: 0.0215 memory: 6108 grad_norm: 7.6040 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3533 loss: 1.3533 2022/07/23 05:29:14 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 1.0000e-03 eta: 10:08:19 time: 0.2279 data_time: 0.0258 memory: 6108 grad_norm: 7.1689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3561 loss: 1.3561 2022/07/23 05:29:18 - mmengine - INFO - Epoch(train) [59][1920/3757] lr: 1.0000e-03 eta: 10:08:14 time: 0.2325 data_time: 0.0210 memory: 6108 grad_norm: 7.1464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4901 loss: 1.4901 2022/07/23 05:29:23 - mmengine - INFO - Epoch(train) [59][1940/3757] lr: 1.0000e-03 eta: 10:08:09 time: 0.2255 data_time: 0.0239 memory: 6108 grad_norm: 7.0625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/07/23 05:29:28 - mmengine - INFO - Epoch(train) [59][1960/3757] lr: 1.0000e-03 eta: 10:08:05 time: 0.2600 data_time: 0.0210 memory: 6108 grad_norm: 7.3552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/07/23 05:29:33 - mmengine - INFO - Epoch(train) [59][1980/3757] lr: 1.0000e-03 eta: 10:08:00 time: 0.2292 data_time: 0.0221 memory: 6108 grad_norm: 7.1484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3012 loss: 1.3012 2022/07/23 05:29:37 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 1.0000e-03 eta: 10:07:55 time: 0.2328 data_time: 0.0226 memory: 6108 grad_norm: 7.4055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1340 loss: 1.1340 2022/07/23 05:29:42 - mmengine - INFO - Epoch(train) [59][2020/3757] lr: 1.0000e-03 eta: 10:07:51 time: 0.2332 data_time: 0.0241 memory: 6108 grad_norm: 7.4596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5630 loss: 1.5630 2022/07/23 05:29:47 - mmengine - INFO - Epoch(train) [59][2040/3757] lr: 1.0000e-03 eta: 10:07:46 time: 0.2381 data_time: 0.0212 memory: 6108 grad_norm: 7.4204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3930 loss: 1.3930 2022/07/23 05:29:51 - mmengine - INFO - Epoch(train) [59][2060/3757] lr: 1.0000e-03 eta: 10:07:41 time: 0.2269 data_time: 0.0191 memory: 6108 grad_norm: 7.4152 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/07/23 05:29:56 - mmengine - INFO - Epoch(train) [59][2080/3757] lr: 1.0000e-03 eta: 10:07:37 time: 0.2339 data_time: 0.0295 memory: 6108 grad_norm: 7.1815 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4690 loss: 1.4690 2022/07/23 05:30:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:30:05 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 1.0000e-03 eta: 10:07:35 time: 0.4557 data_time: 0.0198 memory: 6108 grad_norm: 7.2764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3025 loss: 1.3025 2022/07/23 05:30:10 - mmengine - INFO - Epoch(train) [59][2120/3757] lr: 1.0000e-03 eta: 10:07:30 time: 0.2314 data_time: 0.0231 memory: 6108 grad_norm: 7.3776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3974 loss: 1.3974 2022/07/23 05:30:15 - mmengine - INFO - Epoch(train) [59][2140/3757] lr: 1.0000e-03 eta: 10:07:26 time: 0.2336 data_time: 0.0321 memory: 6108 grad_norm: 7.3824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/07/23 05:30:19 - mmengine - INFO - Epoch(train) [59][2160/3757] lr: 1.0000e-03 eta: 10:07:21 time: 0.2391 data_time: 0.0207 memory: 6108 grad_norm: 7.5010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3828 loss: 1.3828 2022/07/23 05:30:24 - mmengine - INFO - Epoch(train) [59][2180/3757] lr: 1.0000e-03 eta: 10:07:16 time: 0.2252 data_time: 0.0251 memory: 6108 grad_norm: 7.0835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4053 loss: 1.4053 2022/07/23 05:30:29 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 1.0000e-03 eta: 10:07:12 time: 0.2455 data_time: 0.0251 memory: 6108 grad_norm: 7.2862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5402 loss: 1.5402 2022/07/23 05:30:33 - mmengine - INFO - Epoch(train) [59][2220/3757] lr: 1.0000e-03 eta: 10:07:07 time: 0.2273 data_time: 0.0199 memory: 6108 grad_norm: 7.3048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/07/23 05:30:38 - mmengine - INFO - Epoch(train) [59][2240/3757] lr: 1.0000e-03 eta: 10:07:02 time: 0.2304 data_time: 0.0255 memory: 6108 grad_norm: 7.2761 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3461 loss: 1.3461 2022/07/23 05:30:43 - mmengine - INFO - Epoch(train) [59][2260/3757] lr: 1.0000e-03 eta: 10:06:58 time: 0.2390 data_time: 0.0236 memory: 6108 grad_norm: 7.2445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3010 loss: 1.3010 2022/07/23 05:30:48 - mmengine - INFO - Epoch(train) [59][2280/3757] lr: 1.0000e-03 eta: 10:06:53 time: 0.2539 data_time: 0.0192 memory: 6108 grad_norm: 6.9688 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4473 loss: 1.4473 2022/07/23 05:30:53 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 1.0000e-03 eta: 10:06:48 time: 0.2296 data_time: 0.0203 memory: 6108 grad_norm: 7.1574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3728 loss: 1.3728 2022/07/23 05:30:57 - mmengine - INFO - Epoch(train) [59][2320/3757] lr: 1.0000e-03 eta: 10:06:44 time: 0.2259 data_time: 0.0205 memory: 6108 grad_norm: 6.8958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2759 loss: 1.2759 2022/07/23 05:31:02 - mmengine - INFO - Epoch(train) [59][2340/3757] lr: 1.0000e-03 eta: 10:06:39 time: 0.2277 data_time: 0.0229 memory: 6108 grad_norm: 7.2380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3939 loss: 1.3939 2022/07/23 05:31:06 - mmengine - INFO - Epoch(train) [59][2360/3757] lr: 1.0000e-03 eta: 10:06:34 time: 0.2283 data_time: 0.0256 memory: 6108 grad_norm: 7.2833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5925 loss: 1.5925 2022/07/23 05:31:11 - mmengine - INFO - Epoch(train) [59][2380/3757] lr: 1.0000e-03 eta: 10:06:30 time: 0.2502 data_time: 0.0321 memory: 6108 grad_norm: 7.4029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5739 loss: 1.5739 2022/07/23 05:31:16 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 1.0000e-03 eta: 10:06:25 time: 0.2432 data_time: 0.0223 memory: 6108 grad_norm: 7.0313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/23 05:31:21 - mmengine - INFO - Epoch(train) [59][2420/3757] lr: 1.0000e-03 eta: 10:06:20 time: 0.2311 data_time: 0.0224 memory: 6108 grad_norm: 7.4520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5017 loss: 1.5017 2022/07/23 05:31:25 - mmengine - INFO - Epoch(train) [59][2440/3757] lr: 1.0000e-03 eta: 10:06:15 time: 0.2267 data_time: 0.0191 memory: 6108 grad_norm: 7.1527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5204 loss: 1.5204 2022/07/23 05:31:30 - mmengine - INFO - Epoch(train) [59][2460/3757] lr: 1.0000e-03 eta: 10:06:11 time: 0.2247 data_time: 0.0204 memory: 6108 grad_norm: 7.5339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3105 loss: 1.3105 2022/07/23 05:31:35 - mmengine - INFO - Epoch(train) [59][2480/3757] lr: 1.0000e-03 eta: 10:06:06 time: 0.2425 data_time: 0.0257 memory: 6108 grad_norm: 7.3410 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1802 loss: 1.1802 2022/07/23 05:31:40 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 1.0000e-03 eta: 10:06:01 time: 0.2372 data_time: 0.0229 memory: 6108 grad_norm: 7.3499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/07/23 05:31:44 - mmengine - INFO - Epoch(train) [59][2520/3757] lr: 1.0000e-03 eta: 10:05:57 time: 0.2360 data_time: 0.0194 memory: 6108 grad_norm: 7.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2673 loss: 1.2673 2022/07/23 05:31:49 - mmengine - INFO - Epoch(train) [59][2540/3757] lr: 1.0000e-03 eta: 10:05:52 time: 0.2301 data_time: 0.0253 memory: 6108 grad_norm: 7.2986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/07/23 05:31:54 - mmengine - INFO - Epoch(train) [59][2560/3757] lr: 1.0000e-03 eta: 10:05:47 time: 0.2419 data_time: 0.0221 memory: 6108 grad_norm: 7.2350 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3968 loss: 1.3968 2022/07/23 05:31:59 - mmengine - INFO - Epoch(train) [59][2580/3757] lr: 1.0000e-03 eta: 10:05:43 time: 0.2804 data_time: 0.0846 memory: 6108 grad_norm: 7.4045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4365 loss: 1.4365 2022/07/23 05:32:04 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 1.0000e-03 eta: 10:05:39 time: 0.2266 data_time: 0.0227 memory: 6108 grad_norm: 7.1414 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2991 loss: 1.2991 2022/07/23 05:32:08 - mmengine - INFO - Epoch(train) [59][2620/3757] lr: 1.0000e-03 eta: 10:05:34 time: 0.2237 data_time: 0.0191 memory: 6108 grad_norm: 7.2301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/07/23 05:32:13 - mmengine - INFO - Epoch(train) [59][2640/3757] lr: 1.0000e-03 eta: 10:05:29 time: 0.2233 data_time: 0.0220 memory: 6108 grad_norm: 7.6702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4715 loss: 1.4715 2022/07/23 05:32:18 - mmengine - INFO - Epoch(train) [59][2660/3757] lr: 1.0000e-03 eta: 10:05:24 time: 0.2346 data_time: 0.0240 memory: 6108 grad_norm: 7.2779 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/07/23 05:32:22 - mmengine - INFO - Epoch(train) [59][2680/3757] lr: 1.0000e-03 eta: 10:05:20 time: 0.2242 data_time: 0.0186 memory: 6108 grad_norm: 7.3970 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5406 loss: 1.5406 2022/07/23 05:32:27 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 1.0000e-03 eta: 10:05:15 time: 0.2431 data_time: 0.0189 memory: 6108 grad_norm: 7.3420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3348 loss: 1.3348 2022/07/23 05:32:32 - mmengine - INFO - Epoch(train) [59][2720/3757] lr: 1.0000e-03 eta: 10:05:10 time: 0.2352 data_time: 0.0227 memory: 6108 grad_norm: 7.0958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/07/23 05:32:36 - mmengine - INFO - Epoch(train) [59][2740/3757] lr: 1.0000e-03 eta: 10:05:06 time: 0.2302 data_time: 0.0227 memory: 6108 grad_norm: 7.4102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5251 loss: 1.5251 2022/07/23 05:32:41 - mmengine - INFO - Epoch(train) [59][2760/3757] lr: 1.0000e-03 eta: 10:05:01 time: 0.2441 data_time: 0.0238 memory: 6108 grad_norm: 6.9920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3802 loss: 1.3802 2022/07/23 05:32:46 - mmengine - INFO - Epoch(train) [59][2780/3757] lr: 1.0000e-03 eta: 10:04:56 time: 0.2288 data_time: 0.0244 memory: 6108 grad_norm: 7.0850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3456 loss: 1.3456 2022/07/23 05:32:51 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 1.0000e-03 eta: 10:04:52 time: 0.2432 data_time: 0.0203 memory: 6108 grad_norm: 7.5313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3635 loss: 1.3635 2022/07/23 05:32:55 - mmengine - INFO - Epoch(train) [59][2820/3757] lr: 1.0000e-03 eta: 10:04:47 time: 0.2238 data_time: 0.0212 memory: 6108 grad_norm: 7.4418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2327 loss: 1.2327 2022/07/23 05:33:00 - mmengine - INFO - Epoch(train) [59][2840/3757] lr: 1.0000e-03 eta: 10:04:42 time: 0.2261 data_time: 0.0226 memory: 6108 grad_norm: 7.2812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4268 loss: 1.4268 2022/07/23 05:33:05 - mmengine - INFO - Epoch(train) [59][2860/3757] lr: 1.0000e-03 eta: 10:04:37 time: 0.2402 data_time: 0.0321 memory: 6108 grad_norm: 7.5992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5717 loss: 1.5717 2022/07/23 05:33:10 - mmengine - INFO - Epoch(train) [59][2880/3757] lr: 1.0000e-03 eta: 10:04:33 time: 0.2517 data_time: 0.0188 memory: 6108 grad_norm: 7.3284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2766 loss: 1.2766 2022/07/23 05:33:14 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 1.0000e-03 eta: 10:04:28 time: 0.2331 data_time: 0.0248 memory: 6108 grad_norm: 7.1591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1741 loss: 1.1741 2022/07/23 05:33:19 - mmengine - INFO - Epoch(train) [59][2920/3757] lr: 1.0000e-03 eta: 10:04:24 time: 0.2340 data_time: 0.0209 memory: 6108 grad_norm: 7.2565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5725 loss: 1.5725 2022/07/23 05:33:24 - mmengine - INFO - Epoch(train) [59][2940/3757] lr: 1.0000e-03 eta: 10:04:19 time: 0.2278 data_time: 0.0282 memory: 6108 grad_norm: 7.4546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4103 loss: 1.4103 2022/07/23 05:33:28 - mmengine - INFO - Epoch(train) [59][2960/3757] lr: 1.0000e-03 eta: 10:04:14 time: 0.2393 data_time: 0.0208 memory: 6108 grad_norm: 7.0874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1784 loss: 1.1784 2022/07/23 05:33:33 - mmengine - INFO - Epoch(train) [59][2980/3757] lr: 1.0000e-03 eta: 10:04:09 time: 0.2273 data_time: 0.0216 memory: 6108 grad_norm: 7.1451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/07/23 05:33:38 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 1.0000e-03 eta: 10:04:05 time: 0.2286 data_time: 0.0187 memory: 6108 grad_norm: 7.1803 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3356 loss: 1.3356 2022/07/23 05:33:42 - mmengine - INFO - Epoch(train) [59][3020/3757] lr: 1.0000e-03 eta: 10:04:00 time: 0.2318 data_time: 0.0288 memory: 6108 grad_norm: 7.0924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3980 loss: 1.3980 2022/07/23 05:33:47 - mmengine - INFO - Epoch(train) [59][3040/3757] lr: 1.0000e-03 eta: 10:03:55 time: 0.2382 data_time: 0.0189 memory: 6108 grad_norm: 7.0848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/07/23 05:33:52 - mmengine - INFO - Epoch(train) [59][3060/3757] lr: 1.0000e-03 eta: 10:03:51 time: 0.2332 data_time: 0.0207 memory: 6108 grad_norm: 7.1699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3339 loss: 1.3339 2022/07/23 05:33:56 - mmengine - INFO - Epoch(train) [59][3080/3757] lr: 1.0000e-03 eta: 10:03:46 time: 0.2280 data_time: 0.0195 memory: 6108 grad_norm: 7.2444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2844 loss: 1.2844 2022/07/23 05:34:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:34:02 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 1.0000e-03 eta: 10:03:42 time: 0.2585 data_time: 0.0255 memory: 6108 grad_norm: 7.2196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2695 loss: 1.2695 2022/07/23 05:34:06 - mmengine - INFO - Epoch(train) [59][3120/3757] lr: 1.0000e-03 eta: 10:03:37 time: 0.2295 data_time: 0.0205 memory: 6108 grad_norm: 7.5893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5961 loss: 1.5961 2022/07/23 05:34:11 - mmengine - INFO - Epoch(train) [59][3140/3757] lr: 1.0000e-03 eta: 10:03:32 time: 0.2534 data_time: 0.0217 memory: 6108 grad_norm: 7.2868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6177 loss: 1.6177 2022/07/23 05:34:16 - mmengine - INFO - Epoch(train) [59][3160/3757] lr: 1.0000e-03 eta: 10:03:28 time: 0.2227 data_time: 0.0184 memory: 6108 grad_norm: 7.2699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3452 loss: 1.3452 2022/07/23 05:34:20 - mmengine - INFO - Epoch(train) [59][3180/3757] lr: 1.0000e-03 eta: 10:03:23 time: 0.2386 data_time: 0.0173 memory: 6108 grad_norm: 7.1969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4073 loss: 1.4073 2022/07/23 05:34:25 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 1.0000e-03 eta: 10:03:18 time: 0.2253 data_time: 0.0289 memory: 6108 grad_norm: 7.4475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4261 loss: 1.4261 2022/07/23 05:34:30 - mmengine - INFO - Epoch(train) [59][3220/3757] lr: 1.0000e-03 eta: 10:03:13 time: 0.2280 data_time: 0.0248 memory: 6108 grad_norm: 7.0569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2261 loss: 1.2261 2022/07/23 05:34:34 - mmengine - INFO - Epoch(train) [59][3240/3757] lr: 1.0000e-03 eta: 10:03:09 time: 0.2258 data_time: 0.0200 memory: 6108 grad_norm: 7.2754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4140 loss: 1.4140 2022/07/23 05:34:39 - mmengine - INFO - Epoch(train) [59][3260/3757] lr: 1.0000e-03 eta: 10:03:04 time: 0.2575 data_time: 0.0208 memory: 6108 grad_norm: 7.2167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2806 loss: 1.2806 2022/07/23 05:34:44 - mmengine - INFO - Epoch(train) [59][3280/3757] lr: 1.0000e-03 eta: 10:03:00 time: 0.2408 data_time: 0.0230 memory: 6108 grad_norm: 7.4959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2778 loss: 1.2778 2022/07/23 05:34:49 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 1.0000e-03 eta: 10:02:55 time: 0.2437 data_time: 0.0223 memory: 6108 grad_norm: 7.2090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4164 loss: 1.4164 2022/07/23 05:34:54 - mmengine - INFO - Epoch(train) [59][3320/3757] lr: 1.0000e-03 eta: 10:02:50 time: 0.2337 data_time: 0.0247 memory: 6108 grad_norm: 7.1559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/23 05:34:58 - mmengine - INFO - Epoch(train) [59][3340/3757] lr: 1.0000e-03 eta: 10:02:46 time: 0.2216 data_time: 0.0191 memory: 6108 grad_norm: 7.3281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5119 loss: 1.5119 2022/07/23 05:35:03 - mmengine - INFO - Epoch(train) [59][3360/3757] lr: 1.0000e-03 eta: 10:02:41 time: 0.2344 data_time: 0.0307 memory: 6108 grad_norm: 7.4097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6510 loss: 1.6510 2022/07/23 05:35:08 - mmengine - INFO - Epoch(train) [59][3380/3757] lr: 1.0000e-03 eta: 10:02:36 time: 0.2464 data_time: 0.0265 memory: 6108 grad_norm: 7.7289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7259 loss: 1.7259 2022/07/23 05:35:13 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 1.0000e-03 eta: 10:02:32 time: 0.2498 data_time: 0.0201 memory: 6108 grad_norm: 7.1594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1324 loss: 1.1324 2022/07/23 05:35:17 - mmengine - INFO - Epoch(train) [59][3420/3757] lr: 1.0000e-03 eta: 10:02:27 time: 0.2288 data_time: 0.0221 memory: 6108 grad_norm: 7.3332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4245 loss: 1.4245 2022/07/23 05:35:22 - mmengine - INFO - Epoch(train) [59][3440/3757] lr: 1.0000e-03 eta: 10:02:22 time: 0.2296 data_time: 0.0222 memory: 6108 grad_norm: 7.2481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6153 loss: 1.6153 2022/07/23 05:35:27 - mmengine - INFO - Epoch(train) [59][3460/3757] lr: 1.0000e-03 eta: 10:02:18 time: 0.2241 data_time: 0.0189 memory: 6108 grad_norm: 7.2947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3361 loss: 1.3361 2022/07/23 05:35:31 - mmengine - INFO - Epoch(train) [59][3480/3757] lr: 1.0000e-03 eta: 10:02:13 time: 0.2409 data_time: 0.0237 memory: 6108 grad_norm: 7.2602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3807 loss: 1.3807 2022/07/23 05:35:36 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 1.0000e-03 eta: 10:02:08 time: 0.2268 data_time: 0.0194 memory: 6108 grad_norm: 7.3445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/07/23 05:35:40 - mmengine - INFO - Epoch(train) [59][3520/3757] lr: 1.0000e-03 eta: 10:02:03 time: 0.2242 data_time: 0.0234 memory: 6108 grad_norm: 7.4320 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4112 loss: 1.4112 2022/07/23 05:35:45 - mmengine - INFO - Epoch(train) [59][3540/3757] lr: 1.0000e-03 eta: 10:01:59 time: 0.2382 data_time: 0.0237 memory: 6108 grad_norm: 7.5936 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4150 loss: 1.4150 2022/07/23 05:35:50 - mmengine - INFO - Epoch(train) [59][3560/3757] lr: 1.0000e-03 eta: 10:01:54 time: 0.2519 data_time: 0.0202 memory: 6108 grad_norm: 7.6333 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2711 loss: 1.2711 2022/07/23 05:35:55 - mmengine - INFO - Epoch(train) [59][3580/3757] lr: 1.0000e-03 eta: 10:01:50 time: 0.2279 data_time: 0.0238 memory: 6108 grad_norm: 7.5361 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5729 loss: 1.5729 2022/07/23 05:35:59 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 1.0000e-03 eta: 10:01:45 time: 0.2275 data_time: 0.0251 memory: 6108 grad_norm: 7.3719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/07/23 05:36:04 - mmengine - INFO - Epoch(train) [59][3620/3757] lr: 1.0000e-03 eta: 10:01:40 time: 0.2444 data_time: 0.0200 memory: 6108 grad_norm: 7.2116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3630 loss: 1.3630 2022/07/23 05:36:09 - mmengine - INFO - Epoch(train) [59][3640/3757] lr: 1.0000e-03 eta: 10:01:36 time: 0.2489 data_time: 0.0187 memory: 6108 grad_norm: 7.3023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/07/23 05:36:14 - mmengine - INFO - Epoch(train) [59][3660/3757] lr: 1.0000e-03 eta: 10:01:31 time: 0.2333 data_time: 0.0238 memory: 6108 grad_norm: 6.9266 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1336 loss: 1.1336 2022/07/23 05:36:19 - mmengine - INFO - Epoch(train) [59][3680/3757] lr: 1.0000e-03 eta: 10:01:26 time: 0.2257 data_time: 0.0221 memory: 6108 grad_norm: 7.2974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4401 loss: 1.4401 2022/07/23 05:36:23 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 1.0000e-03 eta: 10:01:22 time: 0.2325 data_time: 0.0247 memory: 6108 grad_norm: 7.1492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5502 loss: 1.5502 2022/07/23 05:36:28 - mmengine - INFO - Epoch(train) [59][3720/3757] lr: 1.0000e-03 eta: 10:01:17 time: 0.2504 data_time: 0.0210 memory: 6108 grad_norm: 7.0055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5338 loss: 1.5338 2022/07/23 05:36:33 - mmengine - INFO - Epoch(train) [59][3740/3757] lr: 1.0000e-03 eta: 10:01:12 time: 0.2245 data_time: 0.0198 memory: 6108 grad_norm: 7.1350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4342 loss: 1.4342 2022/07/23 05:36:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:36:36 - mmengine - INFO - Epoch(train) [59][3757/3757] lr: 1.0000e-03 eta: 10:01:12 time: 0.1947 data_time: 0.0182 memory: 6108 grad_norm: 7.0700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2402 loss: 1.2402 2022/07/23 05:36:42 - mmengine - INFO - Epoch(val) [59][20/310] eta: 0:01:20 time: 0.2783 data_time: 0.2016 memory: 1428 2022/07/23 05:36:45 - mmengine - INFO - Epoch(val) [59][40/310] eta: 0:00:49 time: 0.1842 data_time: 0.1069 memory: 1428 2022/07/23 05:36:50 - mmengine - INFO - Epoch(val) [59][60/310] eta: 0:00:59 time: 0.2365 data_time: 0.1481 memory: 1428 2022/07/23 05:36:54 - mmengine - INFO - Epoch(val) [59][80/310] eta: 0:00:41 time: 0.1790 data_time: 0.1058 memory: 1428 2022/07/23 05:36:59 - mmengine - INFO - Epoch(val) [59][100/310] eta: 0:00:52 time: 0.2480 data_time: 0.1756 memory: 1428 2022/07/23 05:37:02 - mmengine - INFO - Epoch(val) [59][120/310] eta: 0:00:35 time: 0.1853 data_time: 0.1139 memory: 1428 2022/07/23 05:37:07 - mmengine - INFO - Epoch(val) [59][140/310] eta: 0:00:37 time: 0.2223 data_time: 0.1510 memory: 1428 2022/07/23 05:37:11 - mmengine - INFO - Epoch(val) [59][160/310] eta: 0:00:33 time: 0.2203 data_time: 0.1243 memory: 1428 2022/07/23 05:37:16 - mmengine - INFO - Epoch(val) [59][180/310] eta: 0:00:28 time: 0.2211 data_time: 0.1498 memory: 1428 2022/07/23 05:37:19 - mmengine - INFO - Epoch(val) [59][200/310] eta: 0:00:20 time: 0.1865 data_time: 0.1157 memory: 1428 2022/07/23 05:37:23 - mmengine - INFO - Epoch(val) [59][220/310] eta: 0:00:17 time: 0.1961 data_time: 0.1219 memory: 1428 2022/07/23 05:37:27 - mmengine - INFO - Epoch(val) [59][240/310] eta: 0:00:13 time: 0.1921 data_time: 0.1181 memory: 1428 2022/07/23 05:37:32 - mmengine - INFO - Epoch(val) [59][260/310] eta: 0:00:12 time: 0.2533 data_time: 0.1812 memory: 1428 2022/07/23 05:37:36 - mmengine - INFO - Epoch(val) [59][280/310] eta: 0:00:05 time: 0.1796 data_time: 0.1032 memory: 1428 2022/07/23 05:37:40 - mmengine - INFO - Epoch(val) [59][300/310] eta: 0:00:02 time: 0.2266 data_time: 0.1427 memory: 1428 2022/07/23 05:37:44 - mmengine - INFO - Epoch(val) [59][310/310] acc/top1: 0.6542 acc/top5: 0.8568 acc/mean1: 0.6541 2022/07/23 05:37:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_57.pth is removed 2022/07/23 05:37:49 - mmengine - INFO - The best checkpoint with 0.6542 acc/top1 at 60 epoch is saved to best_acc/top1_epoch_60.pth. 2022/07/23 05:37:54 - mmengine - INFO - Epoch(train) [60][20/3757] lr: 1.0000e-03 eta: 10:01:01 time: 0.2625 data_time: 0.0720 memory: 6108 grad_norm: 7.3622 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5398 loss: 1.5398 2022/07/23 05:37:59 - mmengine - INFO - Epoch(train) [60][40/3757] lr: 1.0000e-03 eta: 10:00:57 time: 0.2466 data_time: 0.0223 memory: 6108 grad_norm: 7.3703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2816 loss: 1.2816 2022/07/23 05:38:04 - mmengine - INFO - Epoch(train) [60][60/3757] lr: 1.0000e-03 eta: 10:00:52 time: 0.2307 data_time: 0.0230 memory: 6108 grad_norm: 6.9652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/07/23 05:38:08 - mmengine - INFO - Epoch(train) [60][80/3757] lr: 1.0000e-03 eta: 10:00:47 time: 0.2218 data_time: 0.0178 memory: 6108 grad_norm: 7.1650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1385 loss: 1.1385 2022/07/23 05:38:12 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 1.0000e-03 eta: 10:00:42 time: 0.2256 data_time: 0.0175 memory: 6108 grad_norm: 7.2453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4830 loss: 1.4830 2022/07/23 05:38:18 - mmengine - INFO - Epoch(train) [60][120/3757] lr: 1.0000e-03 eta: 10:00:38 time: 0.2551 data_time: 0.0238 memory: 6108 grad_norm: 7.3552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3658 loss: 1.3658 2022/07/23 05:38:23 - mmengine - INFO - Epoch(train) [60][140/3757] lr: 1.0000e-03 eta: 10:00:33 time: 0.2464 data_time: 0.0227 memory: 6108 grad_norm: 7.2767 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4361 loss: 1.4361 2022/07/23 05:38:27 - mmengine - INFO - Epoch(train) [60][160/3757] lr: 1.0000e-03 eta: 10:00:29 time: 0.2374 data_time: 0.0228 memory: 6108 grad_norm: 7.1409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1995 loss: 1.1995 2022/07/23 05:38:32 - mmengine - INFO - Epoch(train) [60][180/3757] lr: 1.0000e-03 eta: 10:00:24 time: 0.2266 data_time: 0.0198 memory: 6108 grad_norm: 7.2942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4578 loss: 1.4578 2022/07/23 05:38:37 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 1.0000e-03 eta: 10:00:19 time: 0.2293 data_time: 0.0208 memory: 6108 grad_norm: 7.1469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/07/23 05:38:41 - mmengine - INFO - Epoch(train) [60][220/3757] lr: 1.0000e-03 eta: 10:00:15 time: 0.2388 data_time: 0.0240 memory: 6108 grad_norm: 7.2524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4484 loss: 1.4484 2022/07/23 05:38:46 - mmengine - INFO - Epoch(train) [60][240/3757] lr: 1.0000e-03 eta: 10:00:10 time: 0.2248 data_time: 0.0179 memory: 6108 grad_norm: 7.1036 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4485 loss: 1.4485 2022/07/23 05:38:51 - mmengine - INFO - Epoch(train) [60][260/3757] lr: 1.0000e-03 eta: 10:00:05 time: 0.2343 data_time: 0.0200 memory: 6108 grad_norm: 7.0681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1897 loss: 1.1897 2022/07/23 05:38:55 - mmengine - INFO - Epoch(train) [60][280/3757] lr: 1.0000e-03 eta: 10:00:00 time: 0.2283 data_time: 0.0241 memory: 6108 grad_norm: 7.3667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5280 loss: 1.5280 2022/07/23 05:39:00 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 1.0000e-03 eta: 9:59:56 time: 0.2363 data_time: 0.0214 memory: 6108 grad_norm: 7.2325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4290 loss: 1.4290 2022/07/23 05:39:04 - mmengine - INFO - Epoch(train) [60][320/3757] lr: 1.0000e-03 eta: 9:59:51 time: 0.2266 data_time: 0.0183 memory: 6108 grad_norm: 7.2097 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1672 loss: 1.1672 2022/07/23 05:39:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:39:09 - mmengine - INFO - Epoch(train) [60][340/3757] lr: 1.0000e-03 eta: 9:59:46 time: 0.2380 data_time: 0.0278 memory: 6108 grad_norm: 7.1175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/07/23 05:39:14 - mmengine - INFO - Epoch(train) [60][360/3757] lr: 1.0000e-03 eta: 9:59:42 time: 0.2277 data_time: 0.0180 memory: 6108 grad_norm: 7.3587 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/07/23 05:39:19 - mmengine - INFO - Epoch(train) [60][380/3757] lr: 1.0000e-03 eta: 9:59:37 time: 0.2397 data_time: 0.0242 memory: 6108 grad_norm: 7.0300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2664 loss: 1.2664 2022/07/23 05:39:23 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 1.0000e-03 eta: 9:59:32 time: 0.2268 data_time: 0.0225 memory: 6108 grad_norm: 7.1805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3256 loss: 1.3256 2022/07/23 05:39:28 - mmengine - INFO - Epoch(train) [60][420/3757] lr: 1.0000e-03 eta: 9:59:27 time: 0.2265 data_time: 0.0261 memory: 6108 grad_norm: 7.4279 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/07/23 05:39:32 - mmengine - INFO - Epoch(train) [60][440/3757] lr: 1.0000e-03 eta: 9:59:23 time: 0.2273 data_time: 0.0180 memory: 6108 grad_norm: 7.3051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2374 loss: 1.2374 2022/07/23 05:39:37 - mmengine - INFO - Epoch(train) [60][460/3757] lr: 1.0000e-03 eta: 9:59:18 time: 0.2288 data_time: 0.0212 memory: 6108 grad_norm: 7.3598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/07/23 05:39:42 - mmengine - INFO - Epoch(train) [60][480/3757] lr: 1.0000e-03 eta: 9:59:13 time: 0.2357 data_time: 0.0249 memory: 6108 grad_norm: 7.0638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3468 loss: 1.3468 2022/07/23 05:39:46 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 1.0000e-03 eta: 9:59:08 time: 0.2261 data_time: 0.0198 memory: 6108 grad_norm: 7.3946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8610 loss: 1.8610 2022/07/23 05:39:51 - mmengine - INFO - Epoch(train) [60][520/3757] lr: 1.0000e-03 eta: 9:59:04 time: 0.2283 data_time: 0.0246 memory: 6108 grad_norm: 7.2297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/07/23 05:39:56 - mmengine - INFO - Epoch(train) [60][540/3757] lr: 1.0000e-03 eta: 9:58:59 time: 0.2530 data_time: 0.0163 memory: 6108 grad_norm: 7.2952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6108 loss: 1.6108 2022/07/23 05:40:01 - mmengine - INFO - Epoch(train) [60][560/3757] lr: 1.0000e-03 eta: 9:58:55 time: 0.2356 data_time: 0.0272 memory: 6108 grad_norm: 7.3629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3639 loss: 1.3639 2022/07/23 05:40:05 - mmengine - INFO - Epoch(train) [60][580/3757] lr: 1.0000e-03 eta: 9:58:50 time: 0.2317 data_time: 0.0242 memory: 6108 grad_norm: 7.0330 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3193 loss: 1.3193 2022/07/23 05:40:10 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 1.0000e-03 eta: 9:58:45 time: 0.2600 data_time: 0.0181 memory: 6108 grad_norm: 7.2656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3582 loss: 1.3582 2022/07/23 05:40:15 - mmengine - INFO - Epoch(train) [60][620/3757] lr: 1.0000e-03 eta: 9:58:41 time: 0.2277 data_time: 0.0233 memory: 6108 grad_norm: 7.1214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5855 loss: 1.5855 2022/07/23 05:40:20 - mmengine - INFO - Epoch(train) [60][640/3757] lr: 1.0000e-03 eta: 9:58:36 time: 0.2274 data_time: 0.0209 memory: 6108 grad_norm: 7.5054 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4528 loss: 1.4528 2022/07/23 05:40:24 - mmengine - INFO - Epoch(train) [60][660/3757] lr: 1.0000e-03 eta: 9:58:31 time: 0.2323 data_time: 0.0283 memory: 6108 grad_norm: 7.0808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2400 loss: 1.2400 2022/07/23 05:40:29 - mmengine - INFO - Epoch(train) [60][680/3757] lr: 1.0000e-03 eta: 9:58:27 time: 0.2432 data_time: 0.0193 memory: 6108 grad_norm: 7.3228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5065 loss: 1.5065 2022/07/23 05:40:34 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 1.0000e-03 eta: 9:58:22 time: 0.2334 data_time: 0.0310 memory: 6108 grad_norm: 7.0906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2546 loss: 1.2546 2022/07/23 05:40:38 - mmengine - INFO - Epoch(train) [60][720/3757] lr: 1.0000e-03 eta: 9:58:17 time: 0.2294 data_time: 0.0180 memory: 6108 grad_norm: 6.9926 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4323 loss: 1.4323 2022/07/23 05:40:44 - mmengine - INFO - Epoch(train) [60][740/3757] lr: 1.0000e-03 eta: 9:58:13 time: 0.2536 data_time: 0.0189 memory: 6108 grad_norm: 6.9441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6624 loss: 1.6624 2022/07/23 05:40:48 - mmengine - INFO - Epoch(train) [60][760/3757] lr: 1.0000e-03 eta: 9:58:08 time: 0.2380 data_time: 0.0221 memory: 6108 grad_norm: 7.1442 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4305 loss: 1.4305 2022/07/23 05:40:53 - mmengine - INFO - Epoch(train) [60][780/3757] lr: 1.0000e-03 eta: 9:58:04 time: 0.2387 data_time: 0.0189 memory: 6108 grad_norm: 7.5381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/07/23 05:40:58 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 1.0000e-03 eta: 9:57:59 time: 0.2358 data_time: 0.0192 memory: 6108 grad_norm: 7.5206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4860 loss: 1.4860 2022/07/23 05:41:02 - mmengine - INFO - Epoch(train) [60][820/3757] lr: 1.0000e-03 eta: 9:57:54 time: 0.2259 data_time: 0.0279 memory: 6108 grad_norm: 7.4291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/07/23 05:41:08 - mmengine - INFO - Epoch(train) [60][840/3757] lr: 1.0000e-03 eta: 9:57:50 time: 0.3003 data_time: 0.0183 memory: 6108 grad_norm: 7.0741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/07/23 05:41:13 - mmengine - INFO - Epoch(train) [60][860/3757] lr: 1.0000e-03 eta: 9:57:45 time: 0.2195 data_time: 0.0245 memory: 6108 grad_norm: 7.8149 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6430 loss: 1.6430 2022/07/23 05:41:17 - mmengine - INFO - Epoch(train) [60][880/3757] lr: 1.0000e-03 eta: 9:57:41 time: 0.2296 data_time: 0.0193 memory: 6108 grad_norm: 7.4057 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4808 loss: 1.4808 2022/07/23 05:41:22 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 1.0000e-03 eta: 9:57:36 time: 0.2263 data_time: 0.0249 memory: 6108 grad_norm: 6.9388 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2742 loss: 1.2742 2022/07/23 05:41:32 - mmengine - INFO - Epoch(train) [60][920/3757] lr: 1.0000e-03 eta: 9:57:35 time: 0.4892 data_time: 0.0222 memory: 6108 grad_norm: 7.5159 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3187 loss: 1.3187 2022/07/23 05:41:36 - mmengine - INFO - Epoch(train) [60][940/3757] lr: 1.0000e-03 eta: 9:57:30 time: 0.2295 data_time: 0.0266 memory: 6108 grad_norm: 7.5012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3141 loss: 1.3141 2022/07/23 05:41:41 - mmengine - INFO - Epoch(train) [60][960/3757] lr: 1.0000e-03 eta: 9:57:25 time: 0.2238 data_time: 0.0214 memory: 6108 grad_norm: 7.1881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/07/23 05:41:45 - mmengine - INFO - Epoch(train) [60][980/3757] lr: 1.0000e-03 eta: 9:57:20 time: 0.2299 data_time: 0.0232 memory: 6108 grad_norm: 7.2821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/07/23 05:41:50 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 1.0000e-03 eta: 9:57:16 time: 0.2425 data_time: 0.0302 memory: 6108 grad_norm: 7.3713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3520 loss: 1.3520 2022/07/23 05:41:55 - mmengine - INFO - Epoch(train) [60][1020/3757] lr: 1.0000e-03 eta: 9:57:11 time: 0.2302 data_time: 0.0241 memory: 6108 grad_norm: 7.1904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4764 loss: 1.4764 2022/07/23 05:42:00 - mmengine - INFO - Epoch(train) [60][1040/3757] lr: 1.0000e-03 eta: 9:57:07 time: 0.2439 data_time: 0.0255 memory: 6108 grad_norm: 7.1499 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4539 loss: 1.4539 2022/07/23 05:42:05 - mmengine - INFO - Epoch(train) [60][1060/3757] lr: 1.0000e-03 eta: 9:57:02 time: 0.2321 data_time: 0.0248 memory: 6108 grad_norm: 7.6203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3939 loss: 1.3939 2022/07/23 05:42:09 - mmengine - INFO - Epoch(train) [60][1080/3757] lr: 1.0000e-03 eta: 9:56:57 time: 0.2330 data_time: 0.0243 memory: 6108 grad_norm: 7.1914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3051 loss: 1.3051 2022/07/23 05:42:14 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 1.0000e-03 eta: 9:56:52 time: 0.2254 data_time: 0.0227 memory: 6108 grad_norm: 7.3318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/07/23 05:42:19 - mmengine - INFO - Epoch(train) [60][1120/3757] lr: 1.0000e-03 eta: 9:56:48 time: 0.2493 data_time: 0.0217 memory: 6108 grad_norm: 7.4924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/07/23 05:42:23 - mmengine - INFO - Epoch(train) [60][1140/3757] lr: 1.0000e-03 eta: 9:56:43 time: 0.2212 data_time: 0.0214 memory: 6108 grad_norm: 7.6568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5378 loss: 1.5378 2022/07/23 05:42:28 - mmengine - INFO - Epoch(train) [60][1160/3757] lr: 1.0000e-03 eta: 9:56:38 time: 0.2340 data_time: 0.0189 memory: 6108 grad_norm: 7.5410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4300 loss: 1.4300 2022/07/23 05:42:32 - mmengine - INFO - Epoch(train) [60][1180/3757] lr: 1.0000e-03 eta: 9:56:34 time: 0.2274 data_time: 0.0224 memory: 6108 grad_norm: 7.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3849 loss: 1.3849 2022/07/23 05:42:37 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 1.0000e-03 eta: 9:56:29 time: 0.2303 data_time: 0.0222 memory: 6108 grad_norm: 7.3132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6895 loss: 1.6895 2022/07/23 05:42:42 - mmengine - INFO - Epoch(train) [60][1220/3757] lr: 1.0000e-03 eta: 9:56:24 time: 0.2349 data_time: 0.0209 memory: 6108 grad_norm: 7.3027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2811 loss: 1.2811 2022/07/23 05:42:47 - mmengine - INFO - Epoch(train) [60][1240/3757] lr: 1.0000e-03 eta: 9:56:19 time: 0.2386 data_time: 0.0230 memory: 6108 grad_norm: 7.1688 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/07/23 05:42:52 - mmengine - INFO - Epoch(train) [60][1260/3757] lr: 1.0000e-03 eta: 9:56:15 time: 0.2445 data_time: 0.0210 memory: 6108 grad_norm: 7.2442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4350 loss: 1.4350 2022/07/23 05:42:56 - mmengine - INFO - Epoch(train) [60][1280/3757] lr: 1.0000e-03 eta: 9:56:10 time: 0.2323 data_time: 0.0226 memory: 6108 grad_norm: 7.1934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3116 loss: 1.3116 2022/07/23 05:43:01 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 1.0000e-03 eta: 9:56:06 time: 0.2371 data_time: 0.0164 memory: 6108 grad_norm: 7.1839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/07/23 05:43:06 - mmengine - INFO - Epoch(train) [60][1320/3757] lr: 1.0000e-03 eta: 9:56:01 time: 0.2290 data_time: 0.0215 memory: 6108 grad_norm: 7.4217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3014 loss: 1.3014 2022/07/23 05:43:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:43:10 - mmengine - INFO - Epoch(train) [60][1340/3757] lr: 1.0000e-03 eta: 9:55:56 time: 0.2261 data_time: 0.0211 memory: 6108 grad_norm: 7.3087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3778 loss: 1.3778 2022/07/23 05:43:15 - mmengine - INFO - Epoch(train) [60][1360/3757] lr: 1.0000e-03 eta: 9:55:51 time: 0.2271 data_time: 0.0221 memory: 6108 grad_norm: 7.0930 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2565 loss: 1.2565 2022/07/23 05:43:20 - mmengine - INFO - Epoch(train) [60][1380/3757] lr: 1.0000e-03 eta: 9:55:47 time: 0.2517 data_time: 0.0247 memory: 6108 grad_norm: 7.2487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6054 loss: 1.6054 2022/07/23 05:43:24 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 1.0000e-03 eta: 9:55:42 time: 0.2332 data_time: 0.0211 memory: 6108 grad_norm: 7.4666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2383 loss: 1.2383 2022/07/23 05:43:29 - mmengine - INFO - Epoch(train) [60][1420/3757] lr: 1.0000e-03 eta: 9:55:37 time: 0.2292 data_time: 0.0231 memory: 6108 grad_norm: 7.5297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6578 loss: 1.6578 2022/07/23 05:43:34 - mmengine - INFO - Epoch(train) [60][1440/3757] lr: 1.0000e-03 eta: 9:55:33 time: 0.2323 data_time: 0.0225 memory: 6108 grad_norm: 7.2706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4678 loss: 1.4678 2022/07/23 05:43:38 - mmengine - INFO - Epoch(train) [60][1460/3757] lr: 1.0000e-03 eta: 9:55:28 time: 0.2360 data_time: 0.0224 memory: 6108 grad_norm: 7.4878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3947 loss: 1.3947 2022/07/23 05:43:43 - mmengine - INFO - Epoch(train) [60][1480/3757] lr: 1.0000e-03 eta: 9:55:23 time: 0.2284 data_time: 0.0222 memory: 6108 grad_norm: 7.2312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3816 loss: 1.3816 2022/07/23 05:43:48 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 1.0000e-03 eta: 9:55:19 time: 0.2335 data_time: 0.0236 memory: 6108 grad_norm: 7.1606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2647 loss: 1.2647 2022/07/23 05:43:52 - mmengine - INFO - Epoch(train) [60][1520/3757] lr: 1.0000e-03 eta: 9:55:14 time: 0.2266 data_time: 0.0209 memory: 6108 grad_norm: 7.2418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/07/23 05:43:57 - mmengine - INFO - Epoch(train) [60][1540/3757] lr: 1.0000e-03 eta: 9:55:09 time: 0.2250 data_time: 0.0176 memory: 6108 grad_norm: 7.0904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2510 loss: 1.2510 2022/07/23 05:44:02 - mmengine - INFO - Epoch(train) [60][1560/3757] lr: 1.0000e-03 eta: 9:55:05 time: 0.2647 data_time: 0.0282 memory: 6108 grad_norm: 7.1431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4185 loss: 1.4185 2022/07/23 05:44:07 - mmengine - INFO - Epoch(train) [60][1580/3757] lr: 1.0000e-03 eta: 9:55:00 time: 0.2270 data_time: 0.0201 memory: 6108 grad_norm: 7.4937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/07/23 05:44:11 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 1.0000e-03 eta: 9:54:55 time: 0.2288 data_time: 0.0186 memory: 6108 grad_norm: 7.2417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1921 loss: 1.1921 2022/07/23 05:44:16 - mmengine - INFO - Epoch(train) [60][1620/3757] lr: 1.0000e-03 eta: 9:54:50 time: 0.2338 data_time: 0.0202 memory: 6108 grad_norm: 7.3729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/07/23 05:44:21 - mmengine - INFO - Epoch(train) [60][1640/3757] lr: 1.0000e-03 eta: 9:54:46 time: 0.2355 data_time: 0.0230 memory: 6108 grad_norm: 7.3686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3322 loss: 1.3322 2022/07/23 05:44:25 - mmengine - INFO - Epoch(train) [60][1660/3757] lr: 1.0000e-03 eta: 9:54:41 time: 0.2244 data_time: 0.0170 memory: 6108 grad_norm: 7.4980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3191 loss: 1.3191 2022/07/23 05:44:30 - mmengine - INFO - Epoch(train) [60][1680/3757] lr: 1.0000e-03 eta: 9:54:36 time: 0.2329 data_time: 0.0260 memory: 6108 grad_norm: 7.4201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3606 loss: 1.3606 2022/07/23 05:44:35 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 1.0000e-03 eta: 9:54:32 time: 0.2347 data_time: 0.0206 memory: 6108 grad_norm: 7.3743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/07/23 05:44:39 - mmengine - INFO - Epoch(train) [60][1720/3757] lr: 1.0000e-03 eta: 9:54:27 time: 0.2265 data_time: 0.0212 memory: 6108 grad_norm: 7.4748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4449 loss: 1.4449 2022/07/23 05:44:44 - mmengine - INFO - Epoch(train) [60][1740/3757] lr: 1.0000e-03 eta: 9:54:22 time: 0.2593 data_time: 0.0213 memory: 6108 grad_norm: 7.3431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4602 loss: 1.4602 2022/07/23 05:44:49 - mmengine - INFO - Epoch(train) [60][1760/3757] lr: 1.0000e-03 eta: 9:54:18 time: 0.2346 data_time: 0.0256 memory: 6108 grad_norm: 7.4530 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2203 loss: 1.2203 2022/07/23 05:44:54 - mmengine - INFO - Epoch(train) [60][1780/3757] lr: 1.0000e-03 eta: 9:54:13 time: 0.2404 data_time: 0.0239 memory: 6108 grad_norm: 7.6825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5005 loss: 1.5005 2022/07/23 05:44:59 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 1.0000e-03 eta: 9:54:08 time: 0.2313 data_time: 0.0251 memory: 6108 grad_norm: 7.5075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4904 loss: 1.4904 2022/07/23 05:45:03 - mmengine - INFO - Epoch(train) [60][1820/3757] lr: 1.0000e-03 eta: 9:54:04 time: 0.2334 data_time: 0.0206 memory: 6108 grad_norm: 7.3000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2833 loss: 1.2833 2022/07/23 05:45:08 - mmengine - INFO - Epoch(train) [60][1840/3757] lr: 1.0000e-03 eta: 9:53:59 time: 0.2332 data_time: 0.0204 memory: 6108 grad_norm: 7.4210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6408 loss: 1.6408 2022/07/23 05:45:13 - mmengine - INFO - Epoch(train) [60][1860/3757] lr: 1.0000e-03 eta: 9:53:54 time: 0.2292 data_time: 0.0281 memory: 6108 grad_norm: 7.4489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3713 loss: 1.3713 2022/07/23 05:45:17 - mmengine - INFO - Epoch(train) [60][1880/3757] lr: 1.0000e-03 eta: 9:53:50 time: 0.2262 data_time: 0.0216 memory: 6108 grad_norm: 7.6049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/07/23 05:45:22 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 1.0000e-03 eta: 9:53:45 time: 0.2275 data_time: 0.0221 memory: 6108 grad_norm: 7.4617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4523 loss: 1.4523 2022/07/23 05:45:26 - mmengine - INFO - Epoch(train) [60][1920/3757] lr: 1.0000e-03 eta: 9:53:40 time: 0.2259 data_time: 0.0198 memory: 6108 grad_norm: 7.3888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8331 loss: 1.8331 2022/07/23 05:45:31 - mmengine - INFO - Epoch(train) [60][1940/3757] lr: 1.0000e-03 eta: 9:53:35 time: 0.2338 data_time: 0.0182 memory: 6108 grad_norm: 7.4006 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/07/23 05:45:35 - mmengine - INFO - Epoch(train) [60][1960/3757] lr: 1.0000e-03 eta: 9:53:31 time: 0.2281 data_time: 0.0253 memory: 6108 grad_norm: 7.1022 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3838 loss: 1.3838 2022/07/23 05:45:40 - mmengine - INFO - Epoch(train) [60][1980/3757] lr: 1.0000e-03 eta: 9:53:26 time: 0.2453 data_time: 0.0278 memory: 6108 grad_norm: 7.1634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/07/23 05:45:45 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 1.0000e-03 eta: 9:53:21 time: 0.2268 data_time: 0.0210 memory: 6108 grad_norm: 7.1813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3624 loss: 1.3624 2022/07/23 05:45:50 - mmengine - INFO - Epoch(train) [60][2020/3757] lr: 1.0000e-03 eta: 9:53:17 time: 0.2557 data_time: 0.0151 memory: 6108 grad_norm: 7.7693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3965 loss: 1.3965 2022/07/23 05:45:55 - mmengine - INFO - Epoch(train) [60][2040/3757] lr: 1.0000e-03 eta: 9:53:12 time: 0.2274 data_time: 0.0226 memory: 6108 grad_norm: 7.4702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4230 loss: 1.4230 2022/07/23 05:45:59 - mmengine - INFO - Epoch(train) [60][2060/3757] lr: 1.0000e-03 eta: 9:53:07 time: 0.2299 data_time: 0.0246 memory: 6108 grad_norm: 7.3988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/07/23 05:46:04 - mmengine - INFO - Epoch(train) [60][2080/3757] lr: 1.0000e-03 eta: 9:53:03 time: 0.2294 data_time: 0.0250 memory: 6108 grad_norm: 7.1184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/07/23 05:46:08 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 1.0000e-03 eta: 9:52:58 time: 0.2283 data_time: 0.0259 memory: 6108 grad_norm: 7.5787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4968 loss: 1.4968 2022/07/23 05:46:13 - mmengine - INFO - Epoch(train) [60][2120/3757] lr: 1.0000e-03 eta: 9:52:53 time: 0.2297 data_time: 0.0223 memory: 6108 grad_norm: 7.5069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5514 loss: 1.5514 2022/07/23 05:46:18 - mmengine - INFO - Epoch(train) [60][2140/3757] lr: 1.0000e-03 eta: 9:52:48 time: 0.2332 data_time: 0.0186 memory: 6108 grad_norm: 7.1441 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2983 loss: 1.2983 2022/07/23 05:46:23 - mmengine - INFO - Epoch(train) [60][2160/3757] lr: 1.0000e-03 eta: 9:52:44 time: 0.2587 data_time: 0.0222 memory: 6108 grad_norm: 7.6245 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5675 loss: 1.5675 2022/07/23 05:46:28 - mmengine - INFO - Epoch(train) [60][2180/3757] lr: 1.0000e-03 eta: 9:52:39 time: 0.2279 data_time: 0.0224 memory: 6108 grad_norm: 7.1791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/07/23 05:46:33 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 1.0000e-03 eta: 9:52:35 time: 0.2518 data_time: 0.0210 memory: 6108 grad_norm: 7.5949 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/07/23 05:46:37 - mmengine - INFO - Epoch(train) [60][2220/3757] lr: 1.0000e-03 eta: 9:52:30 time: 0.2295 data_time: 0.0202 memory: 6108 grad_norm: 7.6056 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6936 loss: 1.6936 2022/07/23 05:46:42 - mmengine - INFO - Epoch(train) [60][2240/3757] lr: 1.0000e-03 eta: 9:52:25 time: 0.2422 data_time: 0.0186 memory: 6108 grad_norm: 7.3197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/07/23 05:46:47 - mmengine - INFO - Epoch(train) [60][2260/3757] lr: 1.0000e-03 eta: 9:52:21 time: 0.2241 data_time: 0.0198 memory: 6108 grad_norm: 7.4501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6952 loss: 1.6952 2022/07/23 05:46:51 - mmengine - INFO - Epoch(train) [60][2280/3757] lr: 1.0000e-03 eta: 9:52:16 time: 0.2379 data_time: 0.0217 memory: 6108 grad_norm: 7.2986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3860 loss: 1.3860 2022/07/23 05:46:56 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 1.0000e-03 eta: 9:52:11 time: 0.2244 data_time: 0.0206 memory: 6108 grad_norm: 7.3654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3377 loss: 1.3377 2022/07/23 05:47:01 - mmengine - INFO - Epoch(train) [60][2320/3757] lr: 1.0000e-03 eta: 9:52:07 time: 0.2352 data_time: 0.0224 memory: 6108 grad_norm: 7.2375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3932 loss: 1.3932 2022/07/23 05:47:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:47:05 - mmengine - INFO - Epoch(train) [60][2340/3757] lr: 1.0000e-03 eta: 9:52:02 time: 0.2278 data_time: 0.0253 memory: 6108 grad_norm: 7.2595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1806 loss: 1.1806 2022/07/23 05:47:10 - mmengine - INFO - Epoch(train) [60][2360/3757] lr: 1.0000e-03 eta: 9:51:57 time: 0.2263 data_time: 0.0205 memory: 6108 grad_norm: 7.3243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3015 loss: 1.3015 2022/07/23 05:47:14 - mmengine - INFO - Epoch(train) [60][2380/3757] lr: 1.0000e-03 eta: 9:51:52 time: 0.2309 data_time: 0.0195 memory: 6108 grad_norm: 7.3358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3811 loss: 1.3811 2022/07/23 05:47:19 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 1.0000e-03 eta: 9:51:48 time: 0.2411 data_time: 0.0238 memory: 6108 grad_norm: 7.3033 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3894 loss: 1.3894 2022/07/23 05:47:24 - mmengine - INFO - Epoch(train) [60][2420/3757] lr: 1.0000e-03 eta: 9:51:43 time: 0.2411 data_time: 0.0213 memory: 6108 grad_norm: 7.2898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4768 loss: 1.4768 2022/07/23 05:47:29 - mmengine - INFO - Epoch(train) [60][2440/3757] lr: 1.0000e-03 eta: 9:51:38 time: 0.2386 data_time: 0.0226 memory: 6108 grad_norm: 7.5846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3668 loss: 1.3668 2022/07/23 05:47:33 - mmengine - INFO - Epoch(train) [60][2460/3757] lr: 1.0000e-03 eta: 9:51:34 time: 0.2305 data_time: 0.0197 memory: 6108 grad_norm: 7.2440 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3840 loss: 1.3840 2022/07/23 05:47:39 - mmengine - INFO - Epoch(train) [60][2480/3757] lr: 1.0000e-03 eta: 9:51:29 time: 0.2500 data_time: 0.0224 memory: 6108 grad_norm: 7.1064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1396 loss: 1.1396 2022/07/23 05:47:43 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 1.0000e-03 eta: 9:51:24 time: 0.2279 data_time: 0.0186 memory: 6108 grad_norm: 7.4290 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4268 loss: 1.4268 2022/07/23 05:47:48 - mmengine - INFO - Epoch(train) [60][2520/3757] lr: 1.0000e-03 eta: 9:51:20 time: 0.2290 data_time: 0.0232 memory: 6108 grad_norm: 7.2542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3822 loss: 1.3822 2022/07/23 05:47:52 - mmengine - INFO - Epoch(train) [60][2540/3757] lr: 1.0000e-03 eta: 9:51:15 time: 0.2246 data_time: 0.0204 memory: 6108 grad_norm: 7.6240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4723 loss: 1.4723 2022/07/23 05:47:57 - mmengine - INFO - Epoch(train) [60][2560/3757] lr: 1.0000e-03 eta: 9:51:10 time: 0.2246 data_time: 0.0222 memory: 6108 grad_norm: 7.1261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5204 loss: 1.5204 2022/07/23 05:48:02 - mmengine - INFO - Epoch(train) [60][2580/3757] lr: 1.0000e-03 eta: 9:51:06 time: 0.2442 data_time: 0.0239 memory: 6108 grad_norm: 7.3092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3044 loss: 1.3044 2022/07/23 05:48:06 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 1.0000e-03 eta: 9:51:01 time: 0.2256 data_time: 0.0236 memory: 6108 grad_norm: 7.1291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2985 loss: 1.2985 2022/07/23 05:48:11 - mmengine - INFO - Epoch(train) [60][2620/3757] lr: 1.0000e-03 eta: 9:50:56 time: 0.2280 data_time: 0.0250 memory: 6108 grad_norm: 7.3749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4864 loss: 1.4864 2022/07/23 05:48:15 - mmengine - INFO - Epoch(train) [60][2640/3757] lr: 1.0000e-03 eta: 9:50:51 time: 0.2299 data_time: 0.0203 memory: 6108 grad_norm: 7.6655 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/07/23 05:48:20 - mmengine - INFO - Epoch(train) [60][2660/3757] lr: 1.0000e-03 eta: 9:50:47 time: 0.2489 data_time: 0.0191 memory: 6108 grad_norm: 7.5435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/07/23 05:48:25 - mmengine - INFO - Epoch(train) [60][2680/3757] lr: 1.0000e-03 eta: 9:50:42 time: 0.2222 data_time: 0.0191 memory: 6108 grad_norm: 7.2343 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2361 loss: 1.2361 2022/07/23 05:48:29 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 1.0000e-03 eta: 9:50:37 time: 0.2255 data_time: 0.0206 memory: 6108 grad_norm: 7.1736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5994 loss: 1.5994 2022/07/23 05:48:34 - mmengine - INFO - Epoch(train) [60][2720/3757] lr: 1.0000e-03 eta: 9:50:32 time: 0.2292 data_time: 0.0201 memory: 6108 grad_norm: 7.3920 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5295 loss: 1.5295 2022/07/23 05:48:39 - mmengine - INFO - Epoch(train) [60][2740/3757] lr: 1.0000e-03 eta: 9:50:28 time: 0.2378 data_time: 0.0183 memory: 6108 grad_norm: 7.3675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6061 loss: 1.6061 2022/07/23 05:48:43 - mmengine - INFO - Epoch(train) [60][2760/3757] lr: 1.0000e-03 eta: 9:50:23 time: 0.2253 data_time: 0.0242 memory: 6108 grad_norm: 7.4993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2754 loss: 1.2754 2022/07/23 05:48:48 - mmengine - INFO - Epoch(train) [60][2780/3757] lr: 1.0000e-03 eta: 9:50:18 time: 0.2288 data_time: 0.0213 memory: 6108 grad_norm: 7.5041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3841 loss: 1.3841 2022/07/23 05:48:52 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 1.0000e-03 eta: 9:50:13 time: 0.2240 data_time: 0.0196 memory: 6108 grad_norm: 7.3704 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/07/23 05:48:57 - mmengine - INFO - Epoch(train) [60][2820/3757] lr: 1.0000e-03 eta: 9:50:09 time: 0.2446 data_time: 0.0196 memory: 6108 grad_norm: 7.2558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3663 loss: 1.3663 2022/07/23 05:49:02 - mmengine - INFO - Epoch(train) [60][2840/3757] lr: 1.0000e-03 eta: 9:50:04 time: 0.2324 data_time: 0.0176 memory: 6108 grad_norm: 7.5836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3948 loss: 1.3948 2022/07/23 05:49:07 - mmengine - INFO - Epoch(train) [60][2860/3757] lr: 1.0000e-03 eta: 9:49:59 time: 0.2278 data_time: 0.0238 memory: 6108 grad_norm: 7.1369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3203 loss: 1.3203 2022/07/23 05:49:11 - mmengine - INFO - Epoch(train) [60][2880/3757] lr: 1.0000e-03 eta: 9:49:55 time: 0.2304 data_time: 0.0196 memory: 6108 grad_norm: 7.3612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2964 loss: 1.2964 2022/07/23 05:49:16 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 1.0000e-03 eta: 9:49:50 time: 0.2222 data_time: 0.0183 memory: 6108 grad_norm: 7.1785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5034 loss: 1.5034 2022/07/23 05:49:20 - mmengine - INFO - Epoch(train) [60][2920/3757] lr: 1.0000e-03 eta: 9:49:45 time: 0.2397 data_time: 0.0186 memory: 6108 grad_norm: 7.3000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4302 loss: 1.4302 2022/07/23 05:49:25 - mmengine - INFO - Epoch(train) [60][2940/3757] lr: 1.0000e-03 eta: 9:49:40 time: 0.2276 data_time: 0.0207 memory: 6108 grad_norm: 7.5631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/07/23 05:49:30 - mmengine - INFO - Epoch(train) [60][2960/3757] lr: 1.0000e-03 eta: 9:49:36 time: 0.2419 data_time: 0.0191 memory: 6108 grad_norm: 7.1071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3131 loss: 1.3131 2022/07/23 05:49:35 - mmengine - INFO - Epoch(train) [60][2980/3757] lr: 1.0000e-03 eta: 9:49:31 time: 0.2379 data_time: 0.0198 memory: 6108 grad_norm: 7.8138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2945 loss: 1.2945 2022/07/23 05:49:39 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 1.0000e-03 eta: 9:49:27 time: 0.2399 data_time: 0.0253 memory: 6108 grad_norm: 7.3653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2810 loss: 1.2810 2022/07/23 05:49:44 - mmengine - INFO - Epoch(train) [60][3020/3757] lr: 1.0000e-03 eta: 9:49:22 time: 0.2272 data_time: 0.0233 memory: 6108 grad_norm: 7.3881 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2565 loss: 1.2565 2022/07/23 05:49:49 - mmengine - INFO - Epoch(train) [60][3040/3757] lr: 1.0000e-03 eta: 9:49:17 time: 0.2271 data_time: 0.0228 memory: 6108 grad_norm: 7.2165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/07/23 05:49:53 - mmengine - INFO - Epoch(train) [60][3060/3757] lr: 1.0000e-03 eta: 9:49:12 time: 0.2258 data_time: 0.0221 memory: 6108 grad_norm: 7.3987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2761 loss: 1.2761 2022/07/23 05:49:58 - mmengine - INFO - Epoch(train) [60][3080/3757] lr: 1.0000e-03 eta: 9:49:07 time: 0.2275 data_time: 0.0220 memory: 6108 grad_norm: 7.1208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3710 loss: 1.3710 2022/07/23 05:50:03 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 1.0000e-03 eta: 9:49:03 time: 0.2442 data_time: 0.0184 memory: 6108 grad_norm: 7.3212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5445 loss: 1.5445 2022/07/23 05:50:07 - mmengine - INFO - Epoch(train) [60][3120/3757] lr: 1.0000e-03 eta: 9:48:58 time: 0.2293 data_time: 0.0227 memory: 6108 grad_norm: 7.1993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3079 loss: 1.3079 2022/07/23 05:50:12 - mmengine - INFO - Epoch(train) [60][3140/3757] lr: 1.0000e-03 eta: 9:48:53 time: 0.2271 data_time: 0.0258 memory: 6108 grad_norm: 7.1443 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/07/23 05:50:17 - mmengine - INFO - Epoch(train) [60][3160/3757] lr: 1.0000e-03 eta: 9:48:49 time: 0.2451 data_time: 0.0223 memory: 6108 grad_norm: 7.3571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/07/23 05:50:22 - mmengine - INFO - Epoch(train) [60][3180/3757] lr: 1.0000e-03 eta: 9:48:44 time: 0.2388 data_time: 0.0275 memory: 6108 grad_norm: 6.9710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3007 loss: 1.3007 2022/07/23 05:50:26 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 1.0000e-03 eta: 9:48:39 time: 0.2267 data_time: 0.0224 memory: 6108 grad_norm: 7.2564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/07/23 05:50:31 - mmengine - INFO - Epoch(train) [60][3220/3757] lr: 1.0000e-03 eta: 9:48:35 time: 0.2319 data_time: 0.0237 memory: 6108 grad_norm: 7.3685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2554 loss: 1.2554 2022/07/23 05:50:36 - mmengine - INFO - Epoch(train) [60][3240/3757] lr: 1.0000e-03 eta: 9:48:30 time: 0.2407 data_time: 0.0328 memory: 6108 grad_norm: 7.3618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/07/23 05:50:40 - mmengine - INFO - Epoch(train) [60][3260/3757] lr: 1.0000e-03 eta: 9:48:25 time: 0.2299 data_time: 0.0168 memory: 6108 grad_norm: 7.6131 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5637 loss: 1.5637 2022/07/23 05:50:45 - mmengine - INFO - Epoch(train) [60][3280/3757] lr: 1.0000e-03 eta: 9:48:21 time: 0.2341 data_time: 0.0340 memory: 6108 grad_norm: 7.6885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4369 loss: 1.4369 2022/07/23 05:50:50 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 1.0000e-03 eta: 9:48:16 time: 0.2364 data_time: 0.0333 memory: 6108 grad_norm: 7.3720 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5540 loss: 1.5540 2022/07/23 05:50:54 - mmengine - INFO - Epoch(train) [60][3320/3757] lr: 1.0000e-03 eta: 9:48:11 time: 0.2330 data_time: 0.0315 memory: 6108 grad_norm: 7.5063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7183 loss: 1.7183 2022/07/23 05:50:58 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:50:59 - mmengine - INFO - Epoch(train) [60][3340/3757] lr: 1.0000e-03 eta: 9:48:07 time: 0.2449 data_time: 0.0166 memory: 6108 grad_norm: 7.6465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4897 loss: 1.4897 2022/07/23 05:51:04 - mmengine - INFO - Epoch(train) [60][3360/3757] lr: 1.0000e-03 eta: 9:48:02 time: 0.2256 data_time: 0.0201 memory: 6108 grad_norm: 7.3772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5696 loss: 1.5696 2022/07/23 05:51:09 - mmengine - INFO - Epoch(train) [60][3380/3757] lr: 1.0000e-03 eta: 9:47:57 time: 0.2347 data_time: 0.0218 memory: 6108 grad_norm: 7.5870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3350 loss: 1.3350 2022/07/23 05:51:13 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 1.0000e-03 eta: 9:47:53 time: 0.2301 data_time: 0.0298 memory: 6108 grad_norm: 7.2102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5540 loss: 1.5540 2022/07/23 05:51:18 - mmengine - INFO - Epoch(train) [60][3420/3757] lr: 1.0000e-03 eta: 9:47:48 time: 0.2276 data_time: 0.0241 memory: 6108 grad_norm: 7.1090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1672 loss: 1.1672 2022/07/23 05:51:23 - mmengine - INFO - Epoch(train) [60][3440/3757] lr: 1.0000e-03 eta: 9:47:43 time: 0.2392 data_time: 0.0190 memory: 6108 grad_norm: 7.5764 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.3282 loss: 1.3282 2022/07/23 05:51:27 - mmengine - INFO - Epoch(train) [60][3460/3757] lr: 1.0000e-03 eta: 9:47:39 time: 0.2405 data_time: 0.0266 memory: 6108 grad_norm: 7.4045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2813 loss: 1.2813 2022/07/23 05:51:32 - mmengine - INFO - Epoch(train) [60][3480/3757] lr: 1.0000e-03 eta: 9:47:34 time: 0.2406 data_time: 0.0236 memory: 6108 grad_norm: 7.3914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/07/23 05:51:37 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 1.0000e-03 eta: 9:47:29 time: 0.2280 data_time: 0.0245 memory: 6108 grad_norm: 7.5523 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5876 loss: 1.5876 2022/07/23 05:51:42 - mmengine - INFO - Epoch(train) [60][3520/3757] lr: 1.0000e-03 eta: 9:47:25 time: 0.2383 data_time: 0.0221 memory: 6108 grad_norm: 7.6876 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3830 loss: 1.3830 2022/07/23 05:51:46 - mmengine - INFO - Epoch(train) [60][3540/3757] lr: 1.0000e-03 eta: 9:47:20 time: 0.2285 data_time: 0.0226 memory: 6108 grad_norm: 7.3187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6219 loss: 1.6219 2022/07/23 05:51:51 - mmengine - INFO - Epoch(train) [60][3560/3757] lr: 1.0000e-03 eta: 9:47:16 time: 0.2631 data_time: 0.0190 memory: 6108 grad_norm: 7.5576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5936 loss: 1.5936 2022/07/23 05:51:56 - mmengine - INFO - Epoch(train) [60][3580/3757] lr: 1.0000e-03 eta: 9:47:11 time: 0.2359 data_time: 0.0336 memory: 6108 grad_norm: 7.4374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4057 loss: 1.4057 2022/07/23 05:52:01 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 1.0000e-03 eta: 9:47:06 time: 0.2364 data_time: 0.0227 memory: 6108 grad_norm: 7.3864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/07/23 05:52:06 - mmengine - INFO - Epoch(train) [60][3620/3757] lr: 1.0000e-03 eta: 9:47:02 time: 0.2329 data_time: 0.0294 memory: 6108 grad_norm: 7.2967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3340 loss: 1.3340 2022/07/23 05:52:10 - mmengine - INFO - Epoch(train) [60][3640/3757] lr: 1.0000e-03 eta: 9:46:57 time: 0.2375 data_time: 0.0315 memory: 6108 grad_norm: 7.4425 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6204 loss: 1.6204 2022/07/23 05:52:15 - mmengine - INFO - Epoch(train) [60][3660/3757] lr: 1.0000e-03 eta: 9:46:52 time: 0.2345 data_time: 0.0209 memory: 6108 grad_norm: 7.4051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5798 loss: 1.5798 2022/07/23 05:52:20 - mmengine - INFO - Epoch(train) [60][3680/3757] lr: 1.0000e-03 eta: 9:46:47 time: 0.2279 data_time: 0.0230 memory: 6108 grad_norm: 7.5865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2483 loss: 1.2483 2022/07/23 05:52:24 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 1.0000e-03 eta: 9:46:43 time: 0.2307 data_time: 0.0204 memory: 6108 grad_norm: 7.2390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3277 loss: 1.3277 2022/07/23 05:52:29 - mmengine - INFO - Epoch(train) [60][3720/3757] lr: 1.0000e-03 eta: 9:46:38 time: 0.2381 data_time: 0.0379 memory: 6108 grad_norm: 7.3190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4076 loss: 1.4076 2022/07/23 05:52:34 - mmengine - INFO - Epoch(train) [60][3740/3757] lr: 1.0000e-03 eta: 9:46:33 time: 0.2234 data_time: 0.0196 memory: 6108 grad_norm: 7.4141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/07/23 05:52:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:52:37 - mmengine - INFO - Epoch(train) [60][3757/3757] lr: 1.0000e-03 eta: 9:46:33 time: 0.1928 data_time: 0.0153 memory: 6108 grad_norm: 7.5291 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2993 loss: 1.2993 2022/07/23 05:52:37 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/07/23 05:52:46 - mmengine - INFO - Epoch(val) [60][20/310] eta: 0:01:20 time: 0.2777 data_time: 0.2042 memory: 1428 2022/07/23 05:52:50 - mmengine - INFO - Epoch(val) [60][40/310] eta: 0:00:50 time: 0.1884 data_time: 0.1159 memory: 1428 2022/07/23 05:52:54 - mmengine - INFO - Epoch(val) [60][60/310] eta: 0:00:55 time: 0.2212 data_time: 0.1468 memory: 1428 2022/07/23 05:52:58 - mmengine - INFO - Epoch(val) [60][80/310] eta: 0:00:45 time: 0.1968 data_time: 0.1201 memory: 1428 2022/07/23 05:53:03 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:00:46 time: 0.2214 data_time: 0.1427 memory: 1428 2022/07/23 05:53:07 - mmengine - INFO - Epoch(val) [60][120/310] eta: 0:00:39 time: 0.2066 data_time: 0.1314 memory: 1428 2022/07/23 05:53:12 - mmengine - INFO - Epoch(val) [60][140/310] eta: 0:00:41 time: 0.2416 data_time: 0.1666 memory: 1428 2022/07/23 05:53:16 - mmengine - INFO - Epoch(val) [60][160/310] eta: 0:00:30 time: 0.2027 data_time: 0.1255 memory: 1428 2022/07/23 05:53:20 - mmengine - INFO - Epoch(val) [60][180/310] eta: 0:00:29 time: 0.2289 data_time: 0.1516 memory: 1428 2022/07/23 05:53:24 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:20 time: 0.1894 data_time: 0.1150 memory: 1428 2022/07/23 05:53:29 - mmengine - INFO - Epoch(val) [60][220/310] eta: 0:00:20 time: 0.2329 data_time: 0.1591 memory: 1428 2022/07/23 05:53:33 - mmengine - INFO - Epoch(val) [60][240/310] eta: 0:00:12 time: 0.1834 data_time: 0.1090 memory: 1428 2022/07/23 05:53:37 - mmengine - INFO - Epoch(val) [60][260/310] eta: 0:00:12 time: 0.2412 data_time: 0.1660 memory: 1428 2022/07/23 05:53:41 - mmengine - INFO - Epoch(val) [60][280/310] eta: 0:00:05 time: 0.1843 data_time: 0.1033 memory: 1428 2022/07/23 05:53:44 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:01 time: 0.1528 data_time: 0.0948 memory: 1428 2022/07/23 05:53:47 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.6508 acc/top5: 0.8557 acc/mean1: 0.6507 2022/07/23 05:53:53 - mmengine - INFO - Epoch(train) [61][20/3757] lr: 1.0000e-03 eta: 9:46:23 time: 0.3286 data_time: 0.0902 memory: 6108 grad_norm: 7.4004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5468 loss: 1.5468 2022/07/23 05:53:58 - mmengine - INFO - Epoch(train) [61][40/3757] lr: 1.0000e-03 eta: 9:46:19 time: 0.2413 data_time: 0.0184 memory: 6108 grad_norm: 7.3055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/07/23 05:54:03 - mmengine - INFO - Epoch(train) [61][60/3757] lr: 1.0000e-03 eta: 9:46:14 time: 0.2336 data_time: 0.0272 memory: 6108 grad_norm: 7.2726 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3084 loss: 1.3084 2022/07/23 05:54:08 - mmengine - INFO - Epoch(train) [61][80/3757] lr: 1.0000e-03 eta: 9:46:09 time: 0.2325 data_time: 0.0189 memory: 6108 grad_norm: 7.4444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/07/23 05:54:12 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 1.0000e-03 eta: 9:46:05 time: 0.2476 data_time: 0.0203 memory: 6108 grad_norm: 7.1971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4505 loss: 1.4505 2022/07/23 05:54:17 - mmengine - INFO - Epoch(train) [61][120/3757] lr: 1.0000e-03 eta: 9:46:00 time: 0.2293 data_time: 0.0232 memory: 6108 grad_norm: 7.7100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2206 loss: 1.2206 2022/07/23 05:54:22 - mmengine - INFO - Epoch(train) [61][140/3757] lr: 1.0000e-03 eta: 9:45:55 time: 0.2379 data_time: 0.0240 memory: 6108 grad_norm: 7.3106 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5344 loss: 1.5344 2022/07/23 05:54:27 - mmengine - INFO - Epoch(train) [61][160/3757] lr: 1.0000e-03 eta: 9:45:51 time: 0.2454 data_time: 0.0169 memory: 6108 grad_norm: 7.4058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1109 loss: 1.1109 2022/07/23 05:54:31 - mmengine - INFO - Epoch(train) [61][180/3757] lr: 1.0000e-03 eta: 9:45:46 time: 0.2303 data_time: 0.0241 memory: 6108 grad_norm: 7.2044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/07/23 05:54:36 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 1.0000e-03 eta: 9:45:41 time: 0.2263 data_time: 0.0190 memory: 6108 grad_norm: 7.2482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/07/23 05:54:41 - mmengine - INFO - Epoch(train) [61][220/3757] lr: 1.0000e-03 eta: 9:45:37 time: 0.2462 data_time: 0.0148 memory: 6108 grad_norm: 7.4330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3122 loss: 1.3122 2022/07/23 05:54:46 - mmengine - INFO - Epoch(train) [61][240/3757] lr: 1.0000e-03 eta: 9:45:32 time: 0.2306 data_time: 0.0249 memory: 6108 grad_norm: 7.4688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/07/23 05:54:50 - mmengine - INFO - Epoch(train) [61][260/3757] lr: 1.0000e-03 eta: 9:45:27 time: 0.2286 data_time: 0.0234 memory: 6108 grad_norm: 7.4805 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3579 loss: 1.3579 2022/07/23 05:54:55 - mmengine - INFO - Epoch(train) [61][280/3757] lr: 1.0000e-03 eta: 9:45:23 time: 0.2364 data_time: 0.0285 memory: 6108 grad_norm: 7.2236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/07/23 05:55:00 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 1.0000e-03 eta: 9:45:18 time: 0.2465 data_time: 0.0203 memory: 6108 grad_norm: 7.4270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/07/23 05:55:04 - mmengine - INFO - Epoch(train) [61][320/3757] lr: 1.0000e-03 eta: 9:45:13 time: 0.2268 data_time: 0.0197 memory: 6108 grad_norm: 7.3397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3173 loss: 1.3173 2022/07/23 05:55:09 - mmengine - INFO - Epoch(train) [61][340/3757] lr: 1.0000e-03 eta: 9:45:09 time: 0.2303 data_time: 0.0166 memory: 6108 grad_norm: 7.1746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3124 loss: 1.3124 2022/07/23 05:55:14 - mmengine - INFO - Epoch(train) [61][360/3757] lr: 1.0000e-03 eta: 9:45:04 time: 0.2294 data_time: 0.0221 memory: 6108 grad_norm: 7.2740 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.4864 loss: 1.4864 2022/07/23 05:55:18 - mmengine - INFO - Epoch(train) [61][380/3757] lr: 1.0000e-03 eta: 9:44:59 time: 0.2262 data_time: 0.0205 memory: 6108 grad_norm: 7.6290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4139 loss: 1.4139 2022/07/23 05:55:23 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 1.0000e-03 eta: 9:44:54 time: 0.2392 data_time: 0.0222 memory: 6108 grad_norm: 7.3508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5522 loss: 1.5522 2022/07/23 05:55:28 - mmengine - INFO - Epoch(train) [61][420/3757] lr: 1.0000e-03 eta: 9:44:50 time: 0.2278 data_time: 0.0267 memory: 6108 grad_norm: 7.2819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6074 loss: 1.6074 2022/07/23 05:55:32 - mmengine - INFO - Epoch(train) [61][440/3757] lr: 1.0000e-03 eta: 9:44:45 time: 0.2284 data_time: 0.0165 memory: 6108 grad_norm: 7.3841 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3272 loss: 1.3272 2022/07/23 05:55:37 - mmengine - INFO - Epoch(train) [61][460/3757] lr: 1.0000e-03 eta: 9:44:40 time: 0.2291 data_time: 0.0248 memory: 6108 grad_norm: 7.0907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/07/23 05:55:42 - mmengine - INFO - Epoch(train) [61][480/3757] lr: 1.0000e-03 eta: 9:44:36 time: 0.2363 data_time: 0.0210 memory: 6108 grad_norm: 7.1895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3003 loss: 1.3003 2022/07/23 05:55:46 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 1.0000e-03 eta: 9:44:31 time: 0.2319 data_time: 0.0209 memory: 6108 grad_norm: 7.3590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4045 loss: 1.4045 2022/07/23 05:55:51 - mmengine - INFO - Epoch(train) [61][520/3757] lr: 1.0000e-03 eta: 9:44:26 time: 0.2288 data_time: 0.0178 memory: 6108 grad_norm: 7.3266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2759 loss: 1.2759 2022/07/23 05:55:56 - mmengine - INFO - Epoch(train) [61][540/3757] lr: 1.0000e-03 eta: 9:44:21 time: 0.2377 data_time: 0.0290 memory: 6108 grad_norm: 7.5310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2585 loss: 1.2585 2022/07/23 05:56:00 - mmengine - INFO - Epoch(train) [61][560/3757] lr: 1.0000e-03 eta: 9:44:17 time: 0.2354 data_time: 0.0291 memory: 6108 grad_norm: 7.3343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0676 loss: 1.0676 2022/07/23 05:56:05 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 05:56:05 - mmengine - INFO - Epoch(train) [61][580/3757] lr: 1.0000e-03 eta: 9:44:12 time: 0.2223 data_time: 0.0245 memory: 6108 grad_norm: 7.4398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3911 loss: 1.3911 2022/07/23 05:56:09 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 1.0000e-03 eta: 9:44:07 time: 0.2310 data_time: 0.0242 memory: 6108 grad_norm: 7.7081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2582 loss: 1.2582 2022/07/23 05:56:14 - mmengine - INFO - Epoch(train) [61][620/3757] lr: 1.0000e-03 eta: 9:44:02 time: 0.2336 data_time: 0.0188 memory: 6108 grad_norm: 7.5134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2397 loss: 1.2397 2022/07/23 05:56:19 - mmengine - INFO - Epoch(train) [61][640/3757] lr: 1.0000e-03 eta: 9:43:58 time: 0.2285 data_time: 0.0188 memory: 6108 grad_norm: 7.3907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4577 loss: 1.4577 2022/07/23 05:56:24 - mmengine - INFO - Epoch(train) [61][660/3757] lr: 1.0000e-03 eta: 9:43:53 time: 0.2450 data_time: 0.0255 memory: 6108 grad_norm: 7.5638 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4255 loss: 1.4255 2022/07/23 05:56:28 - mmengine - INFO - Epoch(train) [61][680/3757] lr: 1.0000e-03 eta: 9:43:48 time: 0.2274 data_time: 0.0168 memory: 6108 grad_norm: 7.3909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3701 loss: 1.3701 2022/07/23 05:56:33 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 1.0000e-03 eta: 9:43:44 time: 0.2451 data_time: 0.0210 memory: 6108 grad_norm: 7.4482 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2534 loss: 1.2534 2022/07/23 05:56:38 - mmengine - INFO - Epoch(train) [61][720/3757] lr: 1.0000e-03 eta: 9:43:39 time: 0.2306 data_time: 0.0239 memory: 6108 grad_norm: 7.2722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4775 loss: 1.4775 2022/07/23 05:56:42 - mmengine - INFO - Epoch(train) [61][740/3757] lr: 1.0000e-03 eta: 9:43:34 time: 0.2330 data_time: 0.0180 memory: 6108 grad_norm: 7.2642 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5301 loss: 1.5301 2022/07/23 05:56:47 - mmengine - INFO - Epoch(train) [61][760/3757] lr: 1.0000e-03 eta: 9:43:30 time: 0.2251 data_time: 0.0186 memory: 6108 grad_norm: 7.6705 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/07/23 05:56:52 - mmengine - INFO - Epoch(train) [61][780/3757] lr: 1.0000e-03 eta: 9:43:25 time: 0.2436 data_time: 0.0204 memory: 6108 grad_norm: 7.2145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6509 loss: 1.6509 2022/07/23 05:56:56 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 1.0000e-03 eta: 9:43:20 time: 0.2244 data_time: 0.0228 memory: 6108 grad_norm: 7.6274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4182 loss: 1.4182 2022/07/23 05:57:01 - mmengine - INFO - Epoch(train) [61][820/3757] lr: 1.0000e-03 eta: 9:43:16 time: 0.2274 data_time: 0.0220 memory: 6108 grad_norm: 7.5938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/07/23 05:57:06 - mmengine - INFO - Epoch(train) [61][840/3757] lr: 1.0000e-03 eta: 9:43:11 time: 0.2348 data_time: 0.0283 memory: 6108 grad_norm: 7.2265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/07/23 05:57:11 - mmengine - INFO - Epoch(train) [61][860/3757] lr: 1.0000e-03 eta: 9:43:06 time: 0.2464 data_time: 0.0175 memory: 6108 grad_norm: 7.0474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4103 loss: 1.4103 2022/07/23 05:57:15 - mmengine - INFO - Epoch(train) [61][880/3757] lr: 1.0000e-03 eta: 9:43:02 time: 0.2391 data_time: 0.0282 memory: 6108 grad_norm: 7.5915 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3090 loss: 1.3090 2022/07/23 05:57:20 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 1.0000e-03 eta: 9:42:57 time: 0.2309 data_time: 0.0210 memory: 6108 grad_norm: 7.6633 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3241 loss: 1.3241 2022/07/23 05:57:25 - mmengine - INFO - Epoch(train) [61][920/3757] lr: 1.0000e-03 eta: 9:42:52 time: 0.2289 data_time: 0.0182 memory: 6108 grad_norm: 7.6612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6703 loss: 1.6703 2022/07/23 05:57:30 - mmengine - INFO - Epoch(train) [61][940/3757] lr: 1.0000e-03 eta: 9:42:48 time: 0.2441 data_time: 0.0200 memory: 6108 grad_norm: 7.1163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/07/23 05:57:34 - mmengine - INFO - Epoch(train) [61][960/3757] lr: 1.0000e-03 eta: 9:42:43 time: 0.2260 data_time: 0.0286 memory: 6108 grad_norm: 7.3948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4689 loss: 1.4689 2022/07/23 05:57:39 - mmengine - INFO - Epoch(train) [61][980/3757] lr: 1.0000e-03 eta: 9:42:38 time: 0.2319 data_time: 0.0171 memory: 6108 grad_norm: 7.6152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/07/23 05:57:43 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 1.0000e-03 eta: 9:42:33 time: 0.2340 data_time: 0.0250 memory: 6108 grad_norm: 7.5720 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1523 loss: 1.1523 2022/07/23 05:57:48 - mmengine - INFO - Epoch(train) [61][1020/3757] lr: 1.0000e-03 eta: 9:42:29 time: 0.2291 data_time: 0.0254 memory: 6108 grad_norm: 7.5181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5441 loss: 1.5441 2022/07/23 05:57:53 - mmengine - INFO - Epoch(train) [61][1040/3757] lr: 1.0000e-03 eta: 9:42:24 time: 0.2325 data_time: 0.0211 memory: 6108 grad_norm: 7.3589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2353 loss: 1.2353 2022/07/23 05:57:57 - mmengine - INFO - Epoch(train) [61][1060/3757] lr: 1.0000e-03 eta: 9:42:19 time: 0.2258 data_time: 0.0217 memory: 6108 grad_norm: 7.4670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4552 loss: 1.4552 2022/07/23 05:58:02 - mmengine - INFO - Epoch(train) [61][1080/3757] lr: 1.0000e-03 eta: 9:42:15 time: 0.2373 data_time: 0.0218 memory: 6108 grad_norm: 7.4004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1321 loss: 1.1321 2022/07/23 05:58:07 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 1.0000e-03 eta: 9:42:10 time: 0.2310 data_time: 0.0220 memory: 6108 grad_norm: 7.7481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1997 loss: 1.1997 2022/07/23 05:58:11 - mmengine - INFO - Epoch(train) [61][1120/3757] lr: 1.0000e-03 eta: 9:42:05 time: 0.2406 data_time: 0.0209 memory: 6108 grad_norm: 7.2826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3176 loss: 1.3176 2022/07/23 05:58:16 - mmengine - INFO - Epoch(train) [61][1140/3757] lr: 1.0000e-03 eta: 9:42:00 time: 0.2270 data_time: 0.0204 memory: 6108 grad_norm: 7.5513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3909 loss: 1.3909 2022/07/23 05:58:21 - mmengine - INFO - Epoch(train) [61][1160/3757] lr: 1.0000e-03 eta: 9:41:56 time: 0.2376 data_time: 0.0178 memory: 6108 grad_norm: 7.3321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/07/23 05:58:25 - mmengine - INFO - Epoch(train) [61][1180/3757] lr: 1.0000e-03 eta: 9:41:51 time: 0.2298 data_time: 0.0211 memory: 6108 grad_norm: 7.2829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/07/23 05:58:30 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 1.0000e-03 eta: 9:41:46 time: 0.2308 data_time: 0.0242 memory: 6108 grad_norm: 7.6352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5060 loss: 1.5060 2022/07/23 05:58:35 - mmengine - INFO - Epoch(train) [61][1220/3757] lr: 1.0000e-03 eta: 9:41:42 time: 0.2311 data_time: 0.0189 memory: 6108 grad_norm: 7.1743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0663 loss: 1.0663 2022/07/23 05:58:39 - mmengine - INFO - Epoch(train) [61][1240/3757] lr: 1.0000e-03 eta: 9:41:37 time: 0.2335 data_time: 0.0234 memory: 6108 grad_norm: 7.4955 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/07/23 05:58:44 - mmengine - INFO - Epoch(train) [61][1260/3757] lr: 1.0000e-03 eta: 9:41:32 time: 0.2338 data_time: 0.0234 memory: 6108 grad_norm: 7.5073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8035 loss: 1.8035 2022/07/23 05:58:49 - mmengine - INFO - Epoch(train) [61][1280/3757] lr: 1.0000e-03 eta: 9:41:28 time: 0.2358 data_time: 0.0183 memory: 6108 grad_norm: 7.6089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/07/23 05:58:53 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 1.0000e-03 eta: 9:41:23 time: 0.2282 data_time: 0.0193 memory: 6108 grad_norm: 7.6550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/07/23 05:58:58 - mmengine - INFO - Epoch(train) [61][1320/3757] lr: 1.0000e-03 eta: 9:41:18 time: 0.2459 data_time: 0.0255 memory: 6108 grad_norm: 7.4130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4412 loss: 1.4412 2022/07/23 05:59:03 - mmengine - INFO - Epoch(train) [61][1340/3757] lr: 1.0000e-03 eta: 9:41:14 time: 0.2337 data_time: 0.0213 memory: 6108 grad_norm: 7.6094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4446 loss: 1.4446 2022/07/23 05:59:08 - mmengine - INFO - Epoch(train) [61][1360/3757] lr: 1.0000e-03 eta: 9:41:09 time: 0.2268 data_time: 0.0260 memory: 6108 grad_norm: 7.6321 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5540 loss: 1.5540 2022/07/23 05:59:12 - mmengine - INFO - Epoch(train) [61][1380/3757] lr: 1.0000e-03 eta: 9:41:04 time: 0.2268 data_time: 0.0217 memory: 6108 grad_norm: 7.1083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0986 loss: 1.0986 2022/07/23 05:59:17 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 1.0000e-03 eta: 9:40:59 time: 0.2253 data_time: 0.0211 memory: 6108 grad_norm: 7.4014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/07/23 05:59:21 - mmengine - INFO - Epoch(train) [61][1420/3757] lr: 1.0000e-03 eta: 9:40:55 time: 0.2363 data_time: 0.0173 memory: 6108 grad_norm: 7.3820 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5101 loss: 1.5101 2022/07/23 05:59:26 - mmengine - INFO - Epoch(train) [61][1440/3757] lr: 1.0000e-03 eta: 9:40:50 time: 0.2308 data_time: 0.0238 memory: 6108 grad_norm: 7.2688 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/07/23 05:59:31 - mmengine - INFO - Epoch(train) [61][1460/3757] lr: 1.0000e-03 eta: 9:40:45 time: 0.2285 data_time: 0.0212 memory: 6108 grad_norm: 7.3801 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2995 loss: 1.2995 2022/07/23 05:59:36 - mmengine - INFO - Epoch(train) [61][1480/3757] lr: 1.0000e-03 eta: 9:40:41 time: 0.2390 data_time: 0.0202 memory: 6108 grad_norm: 7.5189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2977 loss: 1.2977 2022/07/23 05:59:41 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 1.0000e-03 eta: 9:40:36 time: 0.2497 data_time: 0.0186 memory: 6108 grad_norm: 7.7251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7455 loss: 1.7455 2022/07/23 05:59:45 - mmengine - INFO - Epoch(train) [61][1520/3757] lr: 1.0000e-03 eta: 9:40:31 time: 0.2322 data_time: 0.0183 memory: 6108 grad_norm: 7.4165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3699 loss: 1.3699 2022/07/23 05:59:50 - mmengine - INFO - Epoch(train) [61][1540/3757] lr: 1.0000e-03 eta: 9:40:27 time: 0.2394 data_time: 0.0188 memory: 6108 grad_norm: 7.5723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2711 loss: 1.2711 2022/07/23 05:59:55 - mmengine - INFO - Epoch(train) [61][1560/3757] lr: 1.0000e-03 eta: 9:40:22 time: 0.2368 data_time: 0.0199 memory: 6108 grad_norm: 7.4994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3120 loss: 1.3120 2022/07/23 06:00:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:00:00 - mmengine - INFO - Epoch(train) [61][1580/3757] lr: 1.0000e-03 eta: 9:40:17 time: 0.2368 data_time: 0.0212 memory: 6108 grad_norm: 7.1437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2350 loss: 1.2350 2022/07/23 06:00:08 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 1.0000e-03 eta: 9:40:16 time: 0.4475 data_time: 0.0187 memory: 6108 grad_norm: 7.4354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2478 loss: 1.2478 2022/07/23 06:00:13 - mmengine - INFO - Epoch(train) [61][1620/3757] lr: 1.0000e-03 eta: 9:40:11 time: 0.2251 data_time: 0.0221 memory: 6108 grad_norm: 7.6314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2547 loss: 1.2547 2022/07/23 06:00:18 - mmengine - INFO - Epoch(train) [61][1640/3757] lr: 1.0000e-03 eta: 9:40:06 time: 0.2254 data_time: 0.0220 memory: 6108 grad_norm: 7.7538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3236 loss: 1.3236 2022/07/23 06:00:22 - mmengine - INFO - Epoch(train) [61][1660/3757] lr: 1.0000e-03 eta: 9:40:01 time: 0.2350 data_time: 0.0227 memory: 6108 grad_norm: 7.5252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/07/23 06:00:27 - mmengine - INFO - Epoch(train) [61][1680/3757] lr: 1.0000e-03 eta: 9:39:57 time: 0.2327 data_time: 0.0185 memory: 6108 grad_norm: 7.3804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4006 loss: 1.4006 2022/07/23 06:00:32 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 1.0000e-03 eta: 9:39:52 time: 0.2310 data_time: 0.0197 memory: 6108 grad_norm: 7.4619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2425 loss: 1.2425 2022/07/23 06:00:36 - mmengine - INFO - Epoch(train) [61][1720/3757] lr: 1.0000e-03 eta: 9:39:47 time: 0.2260 data_time: 0.0205 memory: 6108 grad_norm: 7.5446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/07/23 06:00:41 - mmengine - INFO - Epoch(train) [61][1740/3757] lr: 1.0000e-03 eta: 9:39:42 time: 0.2352 data_time: 0.0252 memory: 6108 grad_norm: 7.3289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/07/23 06:00:45 - mmengine - INFO - Epoch(train) [61][1760/3757] lr: 1.0000e-03 eta: 9:39:38 time: 0.2252 data_time: 0.0210 memory: 6108 grad_norm: 7.5874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/07/23 06:00:50 - mmengine - INFO - Epoch(train) [61][1780/3757] lr: 1.0000e-03 eta: 9:39:33 time: 0.2309 data_time: 0.0246 memory: 6108 grad_norm: 7.2235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/07/23 06:00:55 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 1.0000e-03 eta: 9:39:28 time: 0.2287 data_time: 0.0205 memory: 6108 grad_norm: 7.5492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3260 loss: 1.3260 2022/07/23 06:00:59 - mmengine - INFO - Epoch(train) [61][1820/3757] lr: 1.0000e-03 eta: 9:39:23 time: 0.2278 data_time: 0.0245 memory: 6108 grad_norm: 7.6063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4599 loss: 1.4599 2022/07/23 06:01:04 - mmengine - INFO - Epoch(train) [61][1840/3757] lr: 1.0000e-03 eta: 9:39:19 time: 0.2334 data_time: 0.0184 memory: 6108 grad_norm: 7.4929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/07/23 06:01:08 - mmengine - INFO - Epoch(train) [61][1860/3757] lr: 1.0000e-03 eta: 9:39:14 time: 0.2260 data_time: 0.0241 memory: 6108 grad_norm: 7.3715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4411 loss: 1.4411 2022/07/23 06:01:13 - mmengine - INFO - Epoch(train) [61][1880/3757] lr: 1.0000e-03 eta: 9:39:09 time: 0.2236 data_time: 0.0236 memory: 6108 grad_norm: 7.0988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0555 loss: 1.0555 2022/07/23 06:01:18 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 1.0000e-03 eta: 9:39:05 time: 0.2497 data_time: 0.0229 memory: 6108 grad_norm: 7.2885 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/07/23 06:01:23 - mmengine - INFO - Epoch(train) [61][1920/3757] lr: 1.0000e-03 eta: 9:39:00 time: 0.2446 data_time: 0.0266 memory: 6108 grad_norm: 7.4484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5008 loss: 1.5008 2022/07/23 06:01:28 - mmengine - INFO - Epoch(train) [61][1940/3757] lr: 1.0000e-03 eta: 9:38:55 time: 0.2324 data_time: 0.0218 memory: 6108 grad_norm: 7.1104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0640 loss: 1.0640 2022/07/23 06:01:32 - mmengine - INFO - Epoch(train) [61][1960/3757] lr: 1.0000e-03 eta: 9:38:51 time: 0.2298 data_time: 0.0217 memory: 6108 grad_norm: 7.4337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/07/23 06:01:37 - mmengine - INFO - Epoch(train) [61][1980/3757] lr: 1.0000e-03 eta: 9:38:46 time: 0.2300 data_time: 0.0264 memory: 6108 grad_norm: 7.7736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5651 loss: 1.5651 2022/07/23 06:01:42 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 1.0000e-03 eta: 9:38:41 time: 0.2365 data_time: 0.0191 memory: 6108 grad_norm: 7.2936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/07/23 06:01:46 - mmengine - INFO - Epoch(train) [61][2020/3757] lr: 1.0000e-03 eta: 9:38:36 time: 0.2310 data_time: 0.0173 memory: 6108 grad_norm: 7.1752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/07/23 06:01:51 - mmengine - INFO - Epoch(train) [61][2040/3757] lr: 1.0000e-03 eta: 9:38:32 time: 0.2282 data_time: 0.0229 memory: 6108 grad_norm: 7.4040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/07/23 06:01:56 - mmengine - INFO - Epoch(train) [61][2060/3757] lr: 1.0000e-03 eta: 9:38:27 time: 0.2387 data_time: 0.0213 memory: 6108 grad_norm: 7.3630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4339 loss: 1.4339 2022/07/23 06:02:00 - mmengine - INFO - Epoch(train) [61][2080/3757] lr: 1.0000e-03 eta: 9:38:22 time: 0.2357 data_time: 0.0234 memory: 6108 grad_norm: 7.4250 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2450 loss: 1.2450 2022/07/23 06:02:05 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 1.0000e-03 eta: 9:38:18 time: 0.2328 data_time: 0.0305 memory: 6108 grad_norm: 7.6505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4825 loss: 1.4825 2022/07/23 06:02:10 - mmengine - INFO - Epoch(train) [61][2120/3757] lr: 1.0000e-03 eta: 9:38:13 time: 0.2405 data_time: 0.0164 memory: 6108 grad_norm: 7.5141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/07/23 06:02:14 - mmengine - INFO - Epoch(train) [61][2140/3757] lr: 1.0000e-03 eta: 9:38:08 time: 0.2293 data_time: 0.0244 memory: 6108 grad_norm: 7.3436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/07/23 06:02:19 - mmengine - INFO - Epoch(train) [61][2160/3757] lr: 1.0000e-03 eta: 9:38:04 time: 0.2290 data_time: 0.0277 memory: 6108 grad_norm: 7.2072 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2669 loss: 1.2669 2022/07/23 06:02:24 - mmengine - INFO - Epoch(train) [61][2180/3757] lr: 1.0000e-03 eta: 9:37:59 time: 0.2423 data_time: 0.0195 memory: 6108 grad_norm: 7.4748 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3129 loss: 1.3129 2022/07/23 06:02:28 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 1.0000e-03 eta: 9:37:54 time: 0.2277 data_time: 0.0245 memory: 6108 grad_norm: 7.4058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6710 loss: 1.6710 2022/07/23 06:02:33 - mmengine - INFO - Epoch(train) [61][2220/3757] lr: 1.0000e-03 eta: 9:37:50 time: 0.2295 data_time: 0.0328 memory: 6108 grad_norm: 7.3355 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2814 loss: 1.2814 2022/07/23 06:02:38 - mmengine - INFO - Epoch(train) [61][2240/3757] lr: 1.0000e-03 eta: 9:37:45 time: 0.2266 data_time: 0.0201 memory: 6108 grad_norm: 7.5133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4533 loss: 1.4533 2022/07/23 06:02:42 - mmengine - INFO - Epoch(train) [61][2260/3757] lr: 1.0000e-03 eta: 9:37:40 time: 0.2347 data_time: 0.0209 memory: 6108 grad_norm: 7.5936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1283 loss: 1.1283 2022/07/23 06:02:47 - mmengine - INFO - Epoch(train) [61][2280/3757] lr: 1.0000e-03 eta: 9:37:35 time: 0.2313 data_time: 0.0241 memory: 6108 grad_norm: 7.6786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6599 loss: 1.6599 2022/07/23 06:02:52 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 1.0000e-03 eta: 9:37:31 time: 0.2358 data_time: 0.0229 memory: 6108 grad_norm: 7.5547 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5390 loss: 1.5390 2022/07/23 06:02:56 - mmengine - INFO - Epoch(train) [61][2320/3757] lr: 1.0000e-03 eta: 9:37:26 time: 0.2294 data_time: 0.0209 memory: 6108 grad_norm: 7.4768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2727 loss: 1.2727 2022/07/23 06:03:01 - mmengine - INFO - Epoch(train) [61][2340/3757] lr: 1.0000e-03 eta: 9:37:21 time: 0.2404 data_time: 0.0201 memory: 6108 grad_norm: 7.2861 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/07/23 06:03:06 - mmengine - INFO - Epoch(train) [61][2360/3757] lr: 1.0000e-03 eta: 9:37:17 time: 0.2244 data_time: 0.0206 memory: 6108 grad_norm: 7.2259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2704 loss: 1.2704 2022/07/23 06:03:11 - mmengine - INFO - Epoch(train) [61][2380/3757] lr: 1.0000e-03 eta: 9:37:12 time: 0.2421 data_time: 0.0216 memory: 6108 grad_norm: 7.2758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1569 loss: 1.1569 2022/07/23 06:03:15 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 1.0000e-03 eta: 9:37:07 time: 0.2392 data_time: 0.0257 memory: 6108 grad_norm: 7.7765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/23 06:03:20 - mmengine - INFO - Epoch(train) [61][2420/3757] lr: 1.0000e-03 eta: 9:37:03 time: 0.2517 data_time: 0.0203 memory: 6108 grad_norm: 7.3907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6868 loss: 1.6868 2022/07/23 06:03:25 - mmengine - INFO - Epoch(train) [61][2440/3757] lr: 1.0000e-03 eta: 9:36:58 time: 0.2238 data_time: 0.0212 memory: 6108 grad_norm: 7.7961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2185 loss: 1.2185 2022/07/23 06:03:30 - mmengine - INFO - Epoch(train) [61][2460/3757] lr: 1.0000e-03 eta: 9:36:53 time: 0.2359 data_time: 0.0218 memory: 6108 grad_norm: 7.2260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2899 loss: 1.2899 2022/07/23 06:03:34 - mmengine - INFO - Epoch(train) [61][2480/3757] lr: 1.0000e-03 eta: 9:36:49 time: 0.2285 data_time: 0.0194 memory: 6108 grad_norm: 7.3533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3905 loss: 1.3905 2022/07/23 06:03:39 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 1.0000e-03 eta: 9:36:44 time: 0.2362 data_time: 0.0189 memory: 6108 grad_norm: 7.5105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2010 loss: 1.2010 2022/07/23 06:03:44 - mmengine - INFO - Epoch(train) [61][2520/3757] lr: 1.0000e-03 eta: 9:36:39 time: 0.2419 data_time: 0.0219 memory: 6108 grad_norm: 7.4682 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/07/23 06:03:48 - mmengine - INFO - Epoch(train) [61][2540/3757] lr: 1.0000e-03 eta: 9:36:35 time: 0.2324 data_time: 0.0214 memory: 6108 grad_norm: 7.2956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5944 loss: 1.5944 2022/07/23 06:03:53 - mmengine - INFO - Epoch(train) [61][2560/3757] lr: 1.0000e-03 eta: 9:36:30 time: 0.2281 data_time: 0.0299 memory: 6108 grad_norm: 7.4769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4441 loss: 1.4441 2022/07/23 06:03:58 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:03:58 - mmengine - INFO - Epoch(train) [61][2580/3757] lr: 1.0000e-03 eta: 9:36:25 time: 0.2292 data_time: 0.0247 memory: 6108 grad_norm: 7.4211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1479 loss: 1.1479 2022/07/23 06:04:02 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 1.0000e-03 eta: 9:36:20 time: 0.2319 data_time: 0.0213 memory: 6108 grad_norm: 7.3951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3176 loss: 1.3176 2022/07/23 06:04:07 - mmengine - INFO - Epoch(train) [61][2620/3757] lr: 1.0000e-03 eta: 9:36:16 time: 0.2256 data_time: 0.0240 memory: 6108 grad_norm: 7.2421 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2286 loss: 1.2286 2022/07/23 06:04:12 - mmengine - INFO - Epoch(train) [61][2640/3757] lr: 1.0000e-03 eta: 9:36:11 time: 0.2359 data_time: 0.0253 memory: 6108 grad_norm: 7.4943 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/07/23 06:04:16 - mmengine - INFO - Epoch(train) [61][2660/3757] lr: 1.0000e-03 eta: 9:36:06 time: 0.2330 data_time: 0.0172 memory: 6108 grad_norm: 7.3901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4705 loss: 1.4705 2022/07/23 06:04:21 - mmengine - INFO - Epoch(train) [61][2680/3757] lr: 1.0000e-03 eta: 9:36:02 time: 0.2274 data_time: 0.0220 memory: 6108 grad_norm: 7.4686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4206 loss: 1.4206 2022/07/23 06:04:25 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 1.0000e-03 eta: 9:35:57 time: 0.2275 data_time: 0.0233 memory: 6108 grad_norm: 7.4277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2417 loss: 1.2417 2022/07/23 06:04:30 - mmengine - INFO - Epoch(train) [61][2720/3757] lr: 1.0000e-03 eta: 9:35:52 time: 0.2417 data_time: 0.0197 memory: 6108 grad_norm: 7.6169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6205 loss: 1.6205 2022/07/23 06:04:35 - mmengine - INFO - Epoch(train) [61][2740/3757] lr: 1.0000e-03 eta: 9:35:47 time: 0.2251 data_time: 0.0204 memory: 6108 grad_norm: 7.5076 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3928 loss: 1.3928 2022/07/23 06:04:39 - mmengine - INFO - Epoch(train) [61][2760/3757] lr: 1.0000e-03 eta: 9:35:43 time: 0.2301 data_time: 0.0253 memory: 6108 grad_norm: 7.7456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/07/23 06:04:44 - mmengine - INFO - Epoch(train) [61][2780/3757] lr: 1.0000e-03 eta: 9:35:38 time: 0.2290 data_time: 0.0204 memory: 6108 grad_norm: 7.6121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5694 loss: 1.5694 2022/07/23 06:04:49 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 1.0000e-03 eta: 9:35:33 time: 0.2265 data_time: 0.0218 memory: 6108 grad_norm: 7.5332 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/07/23 06:04:53 - mmengine - INFO - Epoch(train) [61][2820/3757] lr: 1.0000e-03 eta: 9:35:28 time: 0.2361 data_time: 0.0215 memory: 6108 grad_norm: 7.1977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2709 loss: 1.2709 2022/07/23 06:04:58 - mmengine - INFO - Epoch(train) [61][2840/3757] lr: 1.0000e-03 eta: 9:35:24 time: 0.2293 data_time: 0.0236 memory: 6108 grad_norm: 7.4522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3797 loss: 1.3797 2022/07/23 06:05:03 - mmengine - INFO - Epoch(train) [61][2860/3757] lr: 1.0000e-03 eta: 9:35:19 time: 0.2357 data_time: 0.0173 memory: 6108 grad_norm: 7.4544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6414 loss: 1.6414 2022/07/23 06:05:07 - mmengine - INFO - Epoch(train) [61][2880/3757] lr: 1.0000e-03 eta: 9:35:14 time: 0.2286 data_time: 0.0236 memory: 6108 grad_norm: 7.4816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5168 loss: 1.5168 2022/07/23 06:05:12 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 1.0000e-03 eta: 9:35:10 time: 0.2518 data_time: 0.0174 memory: 6108 grad_norm: 7.7899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3761 loss: 1.3761 2022/07/23 06:05:17 - mmengine - INFO - Epoch(train) [61][2920/3757] lr: 1.0000e-03 eta: 9:35:05 time: 0.2296 data_time: 0.0203 memory: 6108 grad_norm: 7.3416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4353 loss: 1.4353 2022/07/23 06:05:22 - mmengine - INFO - Epoch(train) [61][2940/3757] lr: 1.0000e-03 eta: 9:35:00 time: 0.2372 data_time: 0.0209 memory: 6108 grad_norm: 7.1333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4706 loss: 1.4706 2022/07/23 06:05:26 - mmengine - INFO - Epoch(train) [61][2960/3757] lr: 1.0000e-03 eta: 9:34:56 time: 0.2268 data_time: 0.0202 memory: 6108 grad_norm: 7.5251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5307 loss: 1.5307 2022/07/23 06:05:31 - mmengine - INFO - Epoch(train) [61][2980/3757] lr: 1.0000e-03 eta: 9:34:51 time: 0.2264 data_time: 0.0223 memory: 6108 grad_norm: 7.5734 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1281 loss: 1.1281 2022/07/23 06:05:36 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 1.0000e-03 eta: 9:34:46 time: 0.2331 data_time: 0.0299 memory: 6108 grad_norm: 6.9848 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3366 loss: 1.3366 2022/07/23 06:05:41 - mmengine - INFO - Epoch(train) [61][3020/3757] lr: 1.0000e-03 eta: 9:34:42 time: 0.2554 data_time: 0.0163 memory: 6108 grad_norm: 7.2434 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5067 loss: 1.5067 2022/07/23 06:05:46 - mmengine - INFO - Epoch(train) [61][3040/3757] lr: 1.0000e-03 eta: 9:34:37 time: 0.2480 data_time: 0.0237 memory: 6108 grad_norm: 7.2978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2671 loss: 1.2671 2022/07/23 06:05:50 - mmengine - INFO - Epoch(train) [61][3060/3757] lr: 1.0000e-03 eta: 9:34:32 time: 0.2176 data_time: 0.0221 memory: 6108 grad_norm: 7.6298 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4579 loss: 1.4579 2022/07/23 06:05:55 - mmengine - INFO - Epoch(train) [61][3080/3757] lr: 1.0000e-03 eta: 9:34:28 time: 0.2494 data_time: 0.0262 memory: 6108 grad_norm: 7.5117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4306 loss: 1.4306 2022/07/23 06:06:00 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 1.0000e-03 eta: 9:34:23 time: 0.2318 data_time: 0.0249 memory: 6108 grad_norm: 7.5065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3438 loss: 1.3438 2022/07/23 06:06:05 - mmengine - INFO - Epoch(train) [61][3120/3757] lr: 1.0000e-03 eta: 9:34:19 time: 0.2488 data_time: 0.0246 memory: 6108 grad_norm: 7.0510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3660 loss: 1.3660 2022/07/23 06:06:09 - mmengine - INFO - Epoch(train) [61][3140/3757] lr: 1.0000e-03 eta: 9:34:14 time: 0.2281 data_time: 0.0235 memory: 6108 grad_norm: 7.6437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9281 loss: 1.9281 2022/07/23 06:06:14 - mmengine - INFO - Epoch(train) [61][3160/3757] lr: 1.0000e-03 eta: 9:34:09 time: 0.2247 data_time: 0.0226 memory: 6108 grad_norm: 7.5469 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4792 loss: 1.4792 2022/07/23 06:06:19 - mmengine - INFO - Epoch(train) [61][3180/3757] lr: 1.0000e-03 eta: 9:34:05 time: 0.2505 data_time: 0.0233 memory: 6108 grad_norm: 7.4831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5122 loss: 1.5122 2022/07/23 06:06:24 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 1.0000e-03 eta: 9:34:00 time: 0.2422 data_time: 0.0189 memory: 6108 grad_norm: 7.1762 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3692 loss: 1.3692 2022/07/23 06:06:28 - mmengine - INFO - Epoch(train) [61][3220/3757] lr: 1.0000e-03 eta: 9:33:55 time: 0.2316 data_time: 0.0233 memory: 6108 grad_norm: 7.8133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5365 loss: 1.5365 2022/07/23 06:06:33 - mmengine - INFO - Epoch(train) [61][3240/3757] lr: 1.0000e-03 eta: 9:33:51 time: 0.2321 data_time: 0.0249 memory: 6108 grad_norm: 7.6514 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6172 loss: 1.6172 2022/07/23 06:06:38 - mmengine - INFO - Epoch(train) [61][3260/3757] lr: 1.0000e-03 eta: 9:33:46 time: 0.2334 data_time: 0.0213 memory: 6108 grad_norm: 7.2774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5452 loss: 1.5452 2022/07/23 06:06:43 - mmengine - INFO - Epoch(train) [61][3280/3757] lr: 1.0000e-03 eta: 9:33:41 time: 0.2531 data_time: 0.0234 memory: 6108 grad_norm: 7.5324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4030 loss: 1.4030 2022/07/23 06:06:47 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 1.0000e-03 eta: 9:33:37 time: 0.2247 data_time: 0.0220 memory: 6108 grad_norm: 7.5203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/07/23 06:06:52 - mmengine - INFO - Epoch(train) [61][3320/3757] lr: 1.0000e-03 eta: 9:33:32 time: 0.2430 data_time: 0.0214 memory: 6108 grad_norm: 7.2272 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4045 loss: 1.4045 2022/07/23 06:06:57 - mmengine - INFO - Epoch(train) [61][3340/3757] lr: 1.0000e-03 eta: 9:33:27 time: 0.2267 data_time: 0.0212 memory: 6108 grad_norm: 7.5400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5409 loss: 1.5409 2022/07/23 06:07:02 - mmengine - INFO - Epoch(train) [61][3360/3757] lr: 1.0000e-03 eta: 9:33:23 time: 0.2529 data_time: 0.0275 memory: 6108 grad_norm: 7.4393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3900 loss: 1.3900 2022/07/23 06:07:06 - mmengine - INFO - Epoch(train) [61][3380/3757] lr: 1.0000e-03 eta: 9:33:18 time: 0.2248 data_time: 0.0213 memory: 6108 grad_norm: 7.6091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3748 loss: 1.3748 2022/07/23 06:07:11 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 1.0000e-03 eta: 9:33:13 time: 0.2311 data_time: 0.0220 memory: 6108 grad_norm: 7.4556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3686 loss: 1.3686 2022/07/23 06:07:16 - mmengine - INFO - Epoch(train) [61][3420/3757] lr: 1.0000e-03 eta: 9:33:09 time: 0.2303 data_time: 0.0233 memory: 6108 grad_norm: 7.5602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3493 loss: 1.3493 2022/07/23 06:07:20 - mmengine - INFO - Epoch(train) [61][3440/3757] lr: 1.0000e-03 eta: 9:33:04 time: 0.2393 data_time: 0.0333 memory: 6108 grad_norm: 7.4821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2257 loss: 1.2257 2022/07/23 06:07:25 - mmengine - INFO - Epoch(train) [61][3460/3757] lr: 1.0000e-03 eta: 9:32:59 time: 0.2233 data_time: 0.0188 memory: 6108 grad_norm: 7.3073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1623 loss: 1.1623 2022/07/23 06:07:29 - mmengine - INFO - Epoch(train) [61][3480/3757] lr: 1.0000e-03 eta: 9:32:54 time: 0.2273 data_time: 0.0221 memory: 6108 grad_norm: 7.4236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2818 loss: 1.2818 2022/07/23 06:07:34 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 1.0000e-03 eta: 9:32:50 time: 0.2254 data_time: 0.0221 memory: 6108 grad_norm: 7.4431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4706 loss: 1.4706 2022/07/23 06:07:39 - mmengine - INFO - Epoch(train) [61][3520/3757] lr: 1.0000e-03 eta: 9:32:45 time: 0.2266 data_time: 0.0210 memory: 6108 grad_norm: 7.3798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/07/23 06:07:43 - mmengine - INFO - Epoch(train) [61][3540/3757] lr: 1.0000e-03 eta: 9:32:40 time: 0.2399 data_time: 0.0232 memory: 6108 grad_norm: 7.4700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/23 06:07:48 - mmengine - INFO - Epoch(train) [61][3560/3757] lr: 1.0000e-03 eta: 9:32:35 time: 0.2238 data_time: 0.0223 memory: 6108 grad_norm: 7.4445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2791 loss: 1.2791 2022/07/23 06:07:52 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:07:52 - mmengine - INFO - Epoch(train) [61][3580/3757] lr: 1.0000e-03 eta: 9:32:31 time: 0.2264 data_time: 0.0207 memory: 6108 grad_norm: 7.5352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/07/23 06:07:57 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 1.0000e-03 eta: 9:32:26 time: 0.2286 data_time: 0.0227 memory: 6108 grad_norm: 7.6463 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/07/23 06:08:02 - mmengine - INFO - Epoch(train) [61][3620/3757] lr: 1.0000e-03 eta: 9:32:21 time: 0.2431 data_time: 0.0207 memory: 6108 grad_norm: 7.3912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4812 loss: 1.4812 2022/07/23 06:08:07 - mmengine - INFO - Epoch(train) [61][3640/3757] lr: 1.0000e-03 eta: 9:32:17 time: 0.2492 data_time: 0.0296 memory: 6108 grad_norm: 7.5356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3823 loss: 1.3823 2022/07/23 06:08:12 - mmengine - INFO - Epoch(train) [61][3660/3757] lr: 1.0000e-03 eta: 9:32:12 time: 0.2342 data_time: 0.0237 memory: 6108 grad_norm: 7.5153 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3071 loss: 1.3071 2022/07/23 06:08:16 - mmengine - INFO - Epoch(train) [61][3680/3757] lr: 1.0000e-03 eta: 9:32:07 time: 0.2280 data_time: 0.0244 memory: 6108 grad_norm: 7.7093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1413 loss: 1.1413 2022/07/23 06:08:21 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 1.0000e-03 eta: 9:32:03 time: 0.2364 data_time: 0.0225 memory: 6108 grad_norm: 7.5314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4094 loss: 1.4094 2022/07/23 06:08:25 - mmengine - INFO - Epoch(train) [61][3720/3757] lr: 1.0000e-03 eta: 9:31:58 time: 0.2265 data_time: 0.0268 memory: 6108 grad_norm: 7.4038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4932 loss: 1.4932 2022/07/23 06:08:30 - mmengine - INFO - Epoch(train) [61][3740/3757] lr: 1.0000e-03 eta: 9:31:53 time: 0.2371 data_time: 0.0327 memory: 6108 grad_norm: 7.5720 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0880 loss: 1.0880 2022/07/23 06:08:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:08:33 - mmengine - INFO - Epoch(train) [61][3757/3757] lr: 1.0000e-03 eta: 9:31:53 time: 0.1947 data_time: 0.0185 memory: 6108 grad_norm: 7.3231 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0811 loss: 1.0811 2022/07/23 06:08:39 - mmengine - INFO - Epoch(val) [61][20/310] eta: 0:01:17 time: 0.2686 data_time: 0.1906 memory: 1428 2022/07/23 06:08:43 - mmengine - INFO - Epoch(val) [61][40/310] eta: 0:00:49 time: 0.1816 data_time: 0.1025 memory: 1428 2022/07/23 06:08:47 - mmengine - INFO - Epoch(val) [61][60/310] eta: 0:00:58 time: 0.2357 data_time: 0.1616 memory: 1428 2022/07/23 06:08:51 - mmengine - INFO - Epoch(val) [61][80/310] eta: 0:00:42 time: 0.1868 data_time: 0.1120 memory: 1428 2022/07/23 06:08:56 - mmengine - INFO - Epoch(val) [61][100/310] eta: 0:00:48 time: 0.2306 data_time: 0.1582 memory: 1428 2022/07/23 06:08:59 - mmengine - INFO - Epoch(val) [61][120/310] eta: 0:00:35 time: 0.1858 data_time: 0.1122 memory: 1428 2022/07/23 06:09:04 - mmengine - INFO - Epoch(val) [61][140/310] eta: 0:00:38 time: 0.2273 data_time: 0.1485 memory: 1428 2022/07/23 06:09:08 - mmengine - INFO - Epoch(val) [61][160/310] eta: 0:00:33 time: 0.2223 data_time: 0.1494 memory: 1428 2022/07/23 06:09:13 - mmengine - INFO - Epoch(val) [61][180/310] eta: 0:00:27 time: 0.2086 data_time: 0.1289 memory: 1428 2022/07/23 06:09:17 - mmengine - INFO - Epoch(val) [61][200/310] eta: 0:00:22 time: 0.2084 data_time: 0.1315 memory: 1428 2022/07/23 06:09:21 - mmengine - INFO - Epoch(val) [61][220/310] eta: 0:00:21 time: 0.2383 data_time: 0.1546 memory: 1428 2022/07/23 06:09:25 - mmengine - INFO - Epoch(val) [61][240/310] eta: 0:00:13 time: 0.1878 data_time: 0.1113 memory: 1428 2022/07/23 06:09:30 - mmengine - INFO - Epoch(val) [61][260/310] eta: 0:00:11 time: 0.2288 data_time: 0.1504 memory: 1428 2022/07/23 06:09:34 - mmengine - INFO - Epoch(val) [61][280/310] eta: 0:00:05 time: 0.1896 data_time: 0.1136 memory: 1428 2022/07/23 06:09:38 - mmengine - INFO - Epoch(val) [61][300/310] eta: 0:00:02 time: 0.2166 data_time: 0.1368 memory: 1428 2022/07/23 06:09:42 - mmengine - INFO - Epoch(val) [61][310/310] acc/top1: 0.6509 acc/top5: 0.8581 acc/mean1: 0.6508 2022/07/23 06:09:49 - mmengine - INFO - Epoch(train) [62][20/3757] lr: 1.0000e-03 eta: 9:31:43 time: 0.3323 data_time: 0.1282 memory: 6108 grad_norm: 7.3625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3430 loss: 1.3430 2022/07/23 06:09:53 - mmengine - INFO - Epoch(train) [62][40/3757] lr: 1.0000e-03 eta: 9:31:39 time: 0.2336 data_time: 0.0201 memory: 6108 grad_norm: 7.3539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2063 loss: 1.2063 2022/07/23 06:09:58 - mmengine - INFO - Epoch(train) [62][60/3757] lr: 1.0000e-03 eta: 9:31:34 time: 0.2374 data_time: 0.0238 memory: 6108 grad_norm: 7.3127 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5439 loss: 1.5439 2022/07/23 06:10:03 - mmengine - INFO - Epoch(train) [62][80/3757] lr: 1.0000e-03 eta: 9:31:30 time: 0.2497 data_time: 0.0186 memory: 6108 grad_norm: 7.5889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4329 loss: 1.4329 2022/07/23 06:10:08 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 1.0000e-03 eta: 9:31:25 time: 0.2557 data_time: 0.0176 memory: 6108 grad_norm: 7.5286 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4301 loss: 1.4301 2022/07/23 06:10:13 - mmengine - INFO - Epoch(train) [62][120/3757] lr: 1.0000e-03 eta: 9:31:20 time: 0.2311 data_time: 0.0266 memory: 6108 grad_norm: 7.5413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/07/23 06:10:17 - mmengine - INFO - Epoch(train) [62][140/3757] lr: 1.0000e-03 eta: 9:31:16 time: 0.2300 data_time: 0.0223 memory: 6108 grad_norm: 7.2186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3532 loss: 1.3532 2022/07/23 06:10:23 - mmengine - INFO - Epoch(train) [62][160/3757] lr: 1.0000e-03 eta: 9:31:11 time: 0.2537 data_time: 0.0205 memory: 6108 grad_norm: 7.6718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3726 loss: 1.3726 2022/07/23 06:10:28 - mmengine - INFO - Epoch(train) [62][180/3757] lr: 1.0000e-03 eta: 9:31:07 time: 0.2526 data_time: 0.0249 memory: 6108 grad_norm: 7.6092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5486 loss: 1.5486 2022/07/23 06:10:32 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 1.0000e-03 eta: 9:31:02 time: 0.2232 data_time: 0.0187 memory: 6108 grad_norm: 7.9149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3541 loss: 1.3541 2022/07/23 06:10:37 - mmengine - INFO - Epoch(train) [62][220/3757] lr: 1.0000e-03 eta: 9:30:57 time: 0.2246 data_time: 0.0194 memory: 6108 grad_norm: 7.6607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/07/23 06:10:42 - mmengine - INFO - Epoch(train) [62][240/3757] lr: 1.0000e-03 eta: 9:30:53 time: 0.2690 data_time: 0.0271 memory: 6108 grad_norm: 7.2666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5057 loss: 1.5057 2022/07/23 06:10:47 - mmengine - INFO - Epoch(train) [62][260/3757] lr: 1.0000e-03 eta: 9:30:48 time: 0.2306 data_time: 0.0225 memory: 6108 grad_norm: 7.5479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1671 loss: 1.1671 2022/07/23 06:10:52 - mmengine - INFO - Epoch(train) [62][280/3757] lr: 1.0000e-03 eta: 9:30:44 time: 0.2486 data_time: 0.0256 memory: 6108 grad_norm: 7.6564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/07/23 06:10:56 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 1.0000e-03 eta: 9:30:39 time: 0.2281 data_time: 0.0261 memory: 6108 grad_norm: 7.3513 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2022 loss: 1.2022 2022/07/23 06:11:01 - mmengine - INFO - Epoch(train) [62][320/3757] lr: 1.0000e-03 eta: 9:30:35 time: 0.2547 data_time: 0.0192 memory: 6108 grad_norm: 7.3471 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4853 loss: 1.4853 2022/07/23 06:11:06 - mmengine - INFO - Epoch(train) [62][340/3757] lr: 1.0000e-03 eta: 9:30:30 time: 0.2321 data_time: 0.0225 memory: 6108 grad_norm: 7.3140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2903 loss: 1.2903 2022/07/23 06:11:11 - mmengine - INFO - Epoch(train) [62][360/3757] lr: 1.0000e-03 eta: 9:30:25 time: 0.2316 data_time: 0.0235 memory: 6108 grad_norm: 7.6121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/07/23 06:11:16 - mmengine - INFO - Epoch(train) [62][380/3757] lr: 1.0000e-03 eta: 9:30:21 time: 0.2435 data_time: 0.0226 memory: 6108 grad_norm: 7.3663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3453 loss: 1.3453 2022/07/23 06:11:20 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 1.0000e-03 eta: 9:30:16 time: 0.2267 data_time: 0.0232 memory: 6108 grad_norm: 7.6465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6218 loss: 1.6218 2022/07/23 06:11:25 - mmengine - INFO - Epoch(train) [62][420/3757] lr: 1.0000e-03 eta: 9:30:11 time: 0.2441 data_time: 0.0218 memory: 6108 grad_norm: 7.8001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1949 loss: 1.1949 2022/07/23 06:11:30 - mmengine - INFO - Epoch(train) [62][440/3757] lr: 1.0000e-03 eta: 9:30:06 time: 0.2279 data_time: 0.0221 memory: 6108 grad_norm: 7.3013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/07/23 06:11:34 - mmengine - INFO - Epoch(train) [62][460/3757] lr: 1.0000e-03 eta: 9:30:02 time: 0.2320 data_time: 0.0222 memory: 6108 grad_norm: 7.5345 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/07/23 06:11:39 - mmengine - INFO - Epoch(train) [62][480/3757] lr: 1.0000e-03 eta: 9:29:57 time: 0.2284 data_time: 0.0251 memory: 6108 grad_norm: 7.1248 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4940 loss: 1.4940 2022/07/23 06:11:44 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 1.0000e-03 eta: 9:29:52 time: 0.2484 data_time: 0.0200 memory: 6108 grad_norm: 7.4924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9572 loss: 0.9572 2022/07/23 06:11:48 - mmengine - INFO - Epoch(train) [62][520/3757] lr: 1.0000e-03 eta: 9:29:48 time: 0.2293 data_time: 0.0280 memory: 6108 grad_norm: 7.5633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/07/23 06:11:53 - mmengine - INFO - Epoch(train) [62][540/3757] lr: 1.0000e-03 eta: 9:29:43 time: 0.2351 data_time: 0.0199 memory: 6108 grad_norm: 7.4344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7615 loss: 1.7615 2022/07/23 06:11:58 - mmengine - INFO - Epoch(train) [62][560/3757] lr: 1.0000e-03 eta: 9:29:38 time: 0.2346 data_time: 0.0200 memory: 6108 grad_norm: 7.4508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3992 loss: 1.3992 2022/07/23 06:12:03 - mmengine - INFO - Epoch(train) [62][580/3757] lr: 1.0000e-03 eta: 9:29:34 time: 0.2597 data_time: 0.0206 memory: 6108 grad_norm: 7.2511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1530 loss: 1.1530 2022/07/23 06:12:08 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 1.0000e-03 eta: 9:29:29 time: 0.2238 data_time: 0.0217 memory: 6108 grad_norm: 7.6045 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3427 loss: 1.3427 2022/07/23 06:12:12 - mmengine - INFO - Epoch(train) [62][620/3757] lr: 1.0000e-03 eta: 9:29:24 time: 0.2252 data_time: 0.0237 memory: 6108 grad_norm: 7.7551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6797 loss: 1.6797 2022/07/23 06:12:17 - mmengine - INFO - Epoch(train) [62][640/3757] lr: 1.0000e-03 eta: 9:29:20 time: 0.2291 data_time: 0.0224 memory: 6108 grad_norm: 7.5439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2801 loss: 1.2801 2022/07/23 06:12:22 - mmengine - INFO - Epoch(train) [62][660/3757] lr: 1.0000e-03 eta: 9:29:15 time: 0.2424 data_time: 0.0171 memory: 6108 grad_norm: 7.5265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/07/23 06:12:26 - mmengine - INFO - Epoch(train) [62][680/3757] lr: 1.0000e-03 eta: 9:29:10 time: 0.2401 data_time: 0.0293 memory: 6108 grad_norm: 7.5401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5698 loss: 1.5698 2022/07/23 06:12:32 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 1.0000e-03 eta: 9:29:06 time: 0.2519 data_time: 0.0299 memory: 6108 grad_norm: 7.6733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4328 loss: 1.4328 2022/07/23 06:12:36 - mmengine - INFO - Epoch(train) [62][720/3757] lr: 1.0000e-03 eta: 9:29:01 time: 0.2278 data_time: 0.0259 memory: 6108 grad_norm: 7.3435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/07/23 06:12:41 - mmengine - INFO - Epoch(train) [62][740/3757] lr: 1.0000e-03 eta: 9:28:57 time: 0.2323 data_time: 0.0271 memory: 6108 grad_norm: 7.6959 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3327 loss: 1.3327 2022/07/23 06:12:45 - mmengine - INFO - Epoch(train) [62][760/3757] lr: 1.0000e-03 eta: 9:28:52 time: 0.2317 data_time: 0.0271 memory: 6108 grad_norm: 7.1687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/07/23 06:12:50 - mmengine - INFO - Epoch(train) [62][780/3757] lr: 1.0000e-03 eta: 9:28:47 time: 0.2283 data_time: 0.0260 memory: 6108 grad_norm: 7.6096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2099 loss: 1.2099 2022/07/23 06:12:55 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 1.0000e-03 eta: 9:28:43 time: 0.2457 data_time: 0.0211 memory: 6108 grad_norm: 7.5694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/07/23 06:13:00 - mmengine - INFO - Epoch(train) [62][820/3757] lr: 1.0000e-03 eta: 9:28:38 time: 0.2284 data_time: 0.0271 memory: 6108 grad_norm: 7.3364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2683 loss: 1.2683 2022/07/23 06:13:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:13:04 - mmengine - INFO - Epoch(train) [62][840/3757] lr: 1.0000e-03 eta: 9:28:33 time: 0.2365 data_time: 0.0213 memory: 6108 grad_norm: 7.5364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3718 loss: 1.3718 2022/07/23 06:13:09 - mmengine - INFO - Epoch(train) [62][860/3757] lr: 1.0000e-03 eta: 9:28:28 time: 0.2298 data_time: 0.0259 memory: 6108 grad_norm: 7.5427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2581 loss: 1.2581 2022/07/23 06:13:14 - mmengine - INFO - Epoch(train) [62][880/3757] lr: 1.0000e-03 eta: 9:28:24 time: 0.2346 data_time: 0.0207 memory: 6108 grad_norm: 7.2933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4526 loss: 1.4526 2022/07/23 06:13:18 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 1.0000e-03 eta: 9:28:19 time: 0.2257 data_time: 0.0183 memory: 6108 grad_norm: 7.6139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4658 loss: 1.4658 2022/07/23 06:13:23 - mmengine - INFO - Epoch(train) [62][920/3757] lr: 1.0000e-03 eta: 9:28:14 time: 0.2428 data_time: 0.0250 memory: 6108 grad_norm: 7.4877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4016 loss: 1.4016 2022/07/23 06:13:28 - mmengine - INFO - Epoch(train) [62][940/3757] lr: 1.0000e-03 eta: 9:28:10 time: 0.2255 data_time: 0.0250 memory: 6108 grad_norm: 7.2244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5799 loss: 1.5799 2022/07/23 06:13:32 - mmengine - INFO - Epoch(train) [62][960/3757] lr: 1.0000e-03 eta: 9:28:05 time: 0.2438 data_time: 0.0248 memory: 6108 grad_norm: 7.8065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/07/23 06:13:37 - mmengine - INFO - Epoch(train) [62][980/3757] lr: 1.0000e-03 eta: 9:28:00 time: 0.2282 data_time: 0.0305 memory: 6108 grad_norm: 7.1465 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3533 loss: 1.3533 2022/07/23 06:13:42 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 1.0000e-03 eta: 9:27:55 time: 0.2271 data_time: 0.0241 memory: 6108 grad_norm: 7.3358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/07/23 06:13:46 - mmengine - INFO - Epoch(train) [62][1020/3757] lr: 1.0000e-03 eta: 9:27:51 time: 0.2308 data_time: 0.0228 memory: 6108 grad_norm: 7.4245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1891 loss: 1.1891 2022/07/23 06:13:51 - mmengine - INFO - Epoch(train) [62][1040/3757] lr: 1.0000e-03 eta: 9:27:46 time: 0.2318 data_time: 0.0199 memory: 6108 grad_norm: 7.5849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/07/23 06:13:56 - mmengine - INFO - Epoch(train) [62][1060/3757] lr: 1.0000e-03 eta: 9:27:41 time: 0.2281 data_time: 0.0243 memory: 6108 grad_norm: 7.2954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/07/23 06:14:00 - mmengine - INFO - Epoch(train) [62][1080/3757] lr: 1.0000e-03 eta: 9:27:36 time: 0.2272 data_time: 0.0256 memory: 6108 grad_norm: 7.3953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5095 loss: 1.5095 2022/07/23 06:14:05 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 1.0000e-03 eta: 9:27:32 time: 0.2279 data_time: 0.0195 memory: 6108 grad_norm: 7.8047 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5333 loss: 1.5333 2022/07/23 06:14:09 - mmengine - INFO - Epoch(train) [62][1120/3757] lr: 1.0000e-03 eta: 9:27:27 time: 0.2308 data_time: 0.0257 memory: 6108 grad_norm: 7.6114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3165 loss: 1.3165 2022/07/23 06:14:14 - mmengine - INFO - Epoch(train) [62][1140/3757] lr: 1.0000e-03 eta: 9:27:22 time: 0.2432 data_time: 0.0310 memory: 6108 grad_norm: 7.5004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5667 loss: 1.5667 2022/07/23 06:14:19 - mmengine - INFO - Epoch(train) [62][1160/3757] lr: 1.0000e-03 eta: 9:27:18 time: 0.2305 data_time: 0.0213 memory: 6108 grad_norm: 7.0585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3251 loss: 1.3251 2022/07/23 06:14:23 - mmengine - INFO - Epoch(train) [62][1180/3757] lr: 1.0000e-03 eta: 9:27:13 time: 0.2318 data_time: 0.0204 memory: 6108 grad_norm: 7.3569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5586 loss: 1.5586 2022/07/23 06:14:28 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 1.0000e-03 eta: 9:27:08 time: 0.2250 data_time: 0.0185 memory: 6108 grad_norm: 7.3310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2740 loss: 1.2740 2022/07/23 06:14:33 - mmengine - INFO - Epoch(train) [62][1220/3757] lr: 1.0000e-03 eta: 9:27:04 time: 0.2466 data_time: 0.0235 memory: 6108 grad_norm: 7.2120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/07/23 06:14:38 - mmengine - INFO - Epoch(train) [62][1240/3757] lr: 1.0000e-03 eta: 9:26:59 time: 0.2340 data_time: 0.0276 memory: 6108 grad_norm: 7.3545 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/07/23 06:14:43 - mmengine - INFO - Epoch(train) [62][1260/3757] lr: 1.0000e-03 eta: 9:26:54 time: 0.2448 data_time: 0.0222 memory: 6108 grad_norm: 7.5371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4954 loss: 1.4954 2022/07/23 06:14:47 - mmengine - INFO - Epoch(train) [62][1280/3757] lr: 1.0000e-03 eta: 9:26:50 time: 0.2257 data_time: 0.0288 memory: 6108 grad_norm: 7.4357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5722 loss: 1.5722 2022/07/23 06:14:52 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 1.0000e-03 eta: 9:26:45 time: 0.2463 data_time: 0.0248 memory: 6108 grad_norm: 7.4981 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4096 loss: 1.4096 2022/07/23 06:14:57 - mmengine - INFO - Epoch(train) [62][1320/3757] lr: 1.0000e-03 eta: 9:26:40 time: 0.2285 data_time: 0.0285 memory: 6108 grad_norm: 7.2672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2310 loss: 1.2310 2022/07/23 06:15:01 - mmengine - INFO - Epoch(train) [62][1340/3757] lr: 1.0000e-03 eta: 9:26:36 time: 0.2293 data_time: 0.0234 memory: 6108 grad_norm: 7.5657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/07/23 06:15:06 - mmengine - INFO - Epoch(train) [62][1360/3757] lr: 1.0000e-03 eta: 9:26:31 time: 0.2242 data_time: 0.0225 memory: 6108 grad_norm: 7.5323 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/07/23 06:15:10 - mmengine - INFO - Epoch(train) [62][1380/3757] lr: 1.0000e-03 eta: 9:26:26 time: 0.2286 data_time: 0.0206 memory: 6108 grad_norm: 7.6373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/07/23 06:15:16 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 1.0000e-03 eta: 9:26:22 time: 0.2572 data_time: 0.0379 memory: 6108 grad_norm: 7.5580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/07/23 06:15:21 - mmengine - INFO - Epoch(train) [62][1420/3757] lr: 1.0000e-03 eta: 9:26:17 time: 0.2484 data_time: 0.0206 memory: 6108 grad_norm: 7.5490 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3407 loss: 1.3407 2022/07/23 06:15:25 - mmengine - INFO - Epoch(train) [62][1440/3757] lr: 1.0000e-03 eta: 9:26:12 time: 0.2228 data_time: 0.0220 memory: 6108 grad_norm: 7.5472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1797 loss: 1.1797 2022/07/23 06:15:30 - mmengine - INFO - Epoch(train) [62][1460/3757] lr: 1.0000e-03 eta: 9:26:08 time: 0.2330 data_time: 0.0217 memory: 6108 grad_norm: 7.6547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3933 loss: 1.3933 2022/07/23 06:15:35 - mmengine - INFO - Epoch(train) [62][1480/3757] lr: 1.0000e-03 eta: 9:26:03 time: 0.2581 data_time: 0.0246 memory: 6108 grad_norm: 7.7349 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5051 loss: 1.5051 2022/07/23 06:15:39 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 1.0000e-03 eta: 9:25:58 time: 0.2294 data_time: 0.0247 memory: 6108 grad_norm: 7.4556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0987 loss: 1.0987 2022/07/23 06:15:44 - mmengine - INFO - Epoch(train) [62][1520/3757] lr: 1.0000e-03 eta: 9:25:54 time: 0.2285 data_time: 0.0240 memory: 6108 grad_norm: 7.7417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4959 loss: 1.4959 2022/07/23 06:15:49 - mmengine - INFO - Epoch(train) [62][1540/3757] lr: 1.0000e-03 eta: 9:25:49 time: 0.2470 data_time: 0.0273 memory: 6108 grad_norm: 7.1300 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3216 loss: 1.3216 2022/07/23 06:15:54 - mmengine - INFO - Epoch(train) [62][1560/3757] lr: 1.0000e-03 eta: 9:25:45 time: 0.2358 data_time: 0.0218 memory: 6108 grad_norm: 7.4053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5928 loss: 1.5928 2022/07/23 06:15:58 - mmengine - INFO - Epoch(train) [62][1580/3757] lr: 1.0000e-03 eta: 9:25:40 time: 0.2321 data_time: 0.0254 memory: 6108 grad_norm: 7.5474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2599 loss: 1.2599 2022/07/23 06:16:03 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 1.0000e-03 eta: 9:25:35 time: 0.2330 data_time: 0.0222 memory: 6108 grad_norm: 7.3147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3098 loss: 1.3098 2022/07/23 06:16:08 - mmengine - INFO - Epoch(train) [62][1620/3757] lr: 1.0000e-03 eta: 9:25:30 time: 0.2260 data_time: 0.0207 memory: 6108 grad_norm: 7.7548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5017 loss: 1.5017 2022/07/23 06:16:12 - mmengine - INFO - Epoch(train) [62][1640/3757] lr: 1.0000e-03 eta: 9:25:26 time: 0.2306 data_time: 0.0224 memory: 6108 grad_norm: 7.6682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3220 loss: 1.3220 2022/07/23 06:16:17 - mmengine - INFO - Epoch(train) [62][1660/3757] lr: 1.0000e-03 eta: 9:25:21 time: 0.2299 data_time: 0.0287 memory: 6108 grad_norm: 7.5288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3753 loss: 1.3753 2022/07/23 06:16:22 - mmengine - INFO - Epoch(train) [62][1680/3757] lr: 1.0000e-03 eta: 9:25:16 time: 0.2320 data_time: 0.0203 memory: 6108 grad_norm: 7.6103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5078 loss: 1.5078 2022/07/23 06:16:26 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 1.0000e-03 eta: 9:25:11 time: 0.2287 data_time: 0.0195 memory: 6108 grad_norm: 7.5979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7171 loss: 1.7171 2022/07/23 06:16:31 - mmengine - INFO - Epoch(train) [62][1720/3757] lr: 1.0000e-03 eta: 9:25:07 time: 0.2420 data_time: 0.0289 memory: 6108 grad_norm: 7.5636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3463 loss: 1.3463 2022/07/23 06:16:36 - mmengine - INFO - Epoch(train) [62][1740/3757] lr: 1.0000e-03 eta: 9:25:02 time: 0.2351 data_time: 0.0259 memory: 6108 grad_norm: 7.6458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4032 loss: 1.4032 2022/07/23 06:16:41 - mmengine - INFO - Epoch(train) [62][1760/3757] lr: 1.0000e-03 eta: 9:24:58 time: 0.2405 data_time: 0.0178 memory: 6108 grad_norm: 7.2565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5483 loss: 1.5483 2022/07/23 06:16:46 - mmengine - INFO - Epoch(train) [62][1780/3757] lr: 1.0000e-03 eta: 9:24:53 time: 0.2482 data_time: 0.0202 memory: 6108 grad_norm: 7.1774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1457 loss: 1.1457 2022/07/23 06:16:50 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 1.0000e-03 eta: 9:24:48 time: 0.2268 data_time: 0.0203 memory: 6108 grad_norm: 7.5173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/07/23 06:16:55 - mmengine - INFO - Epoch(train) [62][1820/3757] lr: 1.0000e-03 eta: 9:24:44 time: 0.2402 data_time: 0.0251 memory: 6108 grad_norm: 7.6091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3332 loss: 1.3332 2022/07/23 06:16:56 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:17:00 - mmengine - INFO - Epoch(train) [62][1840/3757] lr: 1.0000e-03 eta: 9:24:39 time: 0.2278 data_time: 0.0243 memory: 6108 grad_norm: 7.7384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/07/23 06:17:04 - mmengine - INFO - Epoch(train) [62][1860/3757] lr: 1.0000e-03 eta: 9:24:34 time: 0.2254 data_time: 0.0189 memory: 6108 grad_norm: 7.8884 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3101 loss: 1.3101 2022/07/23 06:17:09 - mmengine - INFO - Epoch(train) [62][1880/3757] lr: 1.0000e-03 eta: 9:24:30 time: 0.2419 data_time: 0.0218 memory: 6108 grad_norm: 7.6037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5587 loss: 1.5587 2022/07/23 06:17:14 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 1.0000e-03 eta: 9:24:25 time: 0.2415 data_time: 0.0252 memory: 6108 grad_norm: 7.5695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/07/23 06:17:19 - mmengine - INFO - Epoch(train) [62][1920/3757] lr: 1.0000e-03 eta: 9:24:20 time: 0.2529 data_time: 0.0178 memory: 6108 grad_norm: 7.6265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4301 loss: 1.4301 2022/07/23 06:17:23 - mmengine - INFO - Epoch(train) [62][1940/3757] lr: 1.0000e-03 eta: 9:24:16 time: 0.2283 data_time: 0.0185 memory: 6108 grad_norm: 7.4277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/07/23 06:17:28 - mmengine - INFO - Epoch(train) [62][1960/3757] lr: 1.0000e-03 eta: 9:24:11 time: 0.2351 data_time: 0.0346 memory: 6108 grad_norm: 7.7512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/07/23 06:17:33 - mmengine - INFO - Epoch(train) [62][1980/3757] lr: 1.0000e-03 eta: 9:24:07 time: 0.2445 data_time: 0.0385 memory: 6108 grad_norm: 7.5086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4447 loss: 1.4447 2022/07/23 06:17:38 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 1.0000e-03 eta: 9:24:02 time: 0.2262 data_time: 0.0182 memory: 6108 grad_norm: 7.3864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5233 loss: 1.5233 2022/07/23 06:17:42 - mmengine - INFO - Epoch(train) [62][2020/3757] lr: 1.0000e-03 eta: 9:23:57 time: 0.2397 data_time: 0.0258 memory: 6108 grad_norm: 7.3554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4632 loss: 1.4632 2022/07/23 06:17:47 - mmengine - INFO - Epoch(train) [62][2040/3757] lr: 1.0000e-03 eta: 9:23:52 time: 0.2287 data_time: 0.0264 memory: 6108 grad_norm: 7.3914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6174 loss: 1.6174 2022/07/23 06:17:52 - mmengine - INFO - Epoch(train) [62][2060/3757] lr: 1.0000e-03 eta: 9:23:48 time: 0.2320 data_time: 0.0211 memory: 6108 grad_norm: 7.6977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5282 loss: 1.5282 2022/07/23 06:17:56 - mmengine - INFO - Epoch(train) [62][2080/3757] lr: 1.0000e-03 eta: 9:23:43 time: 0.2252 data_time: 0.0266 memory: 6108 grad_norm: 7.3653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2600 loss: 1.2600 2022/07/23 06:18:01 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 1.0000e-03 eta: 9:23:38 time: 0.2246 data_time: 0.0192 memory: 6108 grad_norm: 7.7272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6384 loss: 1.6384 2022/07/23 06:18:06 - mmengine - INFO - Epoch(train) [62][2120/3757] lr: 1.0000e-03 eta: 9:23:34 time: 0.2467 data_time: 0.0234 memory: 6108 grad_norm: 7.4916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5004 loss: 1.5004 2022/07/23 06:18:11 - mmengine - INFO - Epoch(train) [62][2140/3757] lr: 1.0000e-03 eta: 9:23:29 time: 0.2377 data_time: 0.0313 memory: 6108 grad_norm: 7.4007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2372 loss: 1.2372 2022/07/23 06:18:15 - mmengine - INFO - Epoch(train) [62][2160/3757] lr: 1.0000e-03 eta: 9:23:24 time: 0.2281 data_time: 0.0237 memory: 6108 grad_norm: 7.5606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/07/23 06:18:20 - mmengine - INFO - Epoch(train) [62][2180/3757] lr: 1.0000e-03 eta: 9:23:19 time: 0.2260 data_time: 0.0229 memory: 6108 grad_norm: 7.7389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4288 loss: 1.4288 2022/07/23 06:18:25 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 1.0000e-03 eta: 9:23:15 time: 0.2491 data_time: 0.0223 memory: 6108 grad_norm: 7.4217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6839 loss: 1.6839 2022/07/23 06:18:29 - mmengine - INFO - Epoch(train) [62][2220/3757] lr: 1.0000e-03 eta: 9:23:10 time: 0.2252 data_time: 0.0194 memory: 6108 grad_norm: 7.4260 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3531 loss: 1.3531 2022/07/23 06:18:34 - mmengine - INFO - Epoch(train) [62][2240/3757] lr: 1.0000e-03 eta: 9:23:05 time: 0.2344 data_time: 0.0223 memory: 6108 grad_norm: 7.5277 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/07/23 06:18:39 - mmengine - INFO - Epoch(train) [62][2260/3757] lr: 1.0000e-03 eta: 9:23:01 time: 0.2348 data_time: 0.0278 memory: 6108 grad_norm: 7.6998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3355 loss: 1.3355 2022/07/23 06:18:43 - mmengine - INFO - Epoch(train) [62][2280/3757] lr: 1.0000e-03 eta: 9:22:56 time: 0.2431 data_time: 0.0249 memory: 6108 grad_norm: 7.3742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3421 loss: 1.3421 2022/07/23 06:18:48 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 1.0000e-03 eta: 9:22:51 time: 0.2279 data_time: 0.0179 memory: 6108 grad_norm: 7.7006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6160 loss: 1.6160 2022/07/23 06:18:53 - mmengine - INFO - Epoch(train) [62][2320/3757] lr: 1.0000e-03 eta: 9:22:47 time: 0.2441 data_time: 0.0229 memory: 6108 grad_norm: 7.7141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3549 loss: 1.3549 2022/07/23 06:18:58 - mmengine - INFO - Epoch(train) [62][2340/3757] lr: 1.0000e-03 eta: 9:22:42 time: 0.2325 data_time: 0.0291 memory: 6108 grad_norm: 7.5063 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5194 loss: 1.5194 2022/07/23 06:19:03 - mmengine - INFO - Epoch(train) [62][2360/3757] lr: 1.0000e-03 eta: 9:22:38 time: 0.2540 data_time: 0.0184 memory: 6108 grad_norm: 7.7149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3205 loss: 1.3205 2022/07/23 06:19:07 - mmengine - INFO - Epoch(train) [62][2380/3757] lr: 1.0000e-03 eta: 9:22:33 time: 0.2285 data_time: 0.0230 memory: 6108 grad_norm: 7.5801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/07/23 06:19:12 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 1.0000e-03 eta: 9:22:28 time: 0.2327 data_time: 0.0215 memory: 6108 grad_norm: 7.6970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2946 loss: 1.2946 2022/07/23 06:19:17 - mmengine - INFO - Epoch(train) [62][2420/3757] lr: 1.0000e-03 eta: 9:22:23 time: 0.2274 data_time: 0.0201 memory: 6108 grad_norm: 7.5876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2836 loss: 1.2836 2022/07/23 06:19:22 - mmengine - INFO - Epoch(train) [62][2440/3757] lr: 1.0000e-03 eta: 9:22:19 time: 0.2478 data_time: 0.0260 memory: 6108 grad_norm: 7.5068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4983 loss: 1.4983 2022/07/23 06:19:26 - mmengine - INFO - Epoch(train) [62][2460/3757] lr: 1.0000e-03 eta: 9:22:14 time: 0.2216 data_time: 0.0195 memory: 6108 grad_norm: 7.3936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5385 loss: 1.5385 2022/07/23 06:19:31 - mmengine - INFO - Epoch(train) [62][2480/3757] lr: 1.0000e-03 eta: 9:22:09 time: 0.2345 data_time: 0.0221 memory: 6108 grad_norm: 7.5000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3669 loss: 1.3669 2022/07/23 06:19:35 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 1.0000e-03 eta: 9:22:05 time: 0.2295 data_time: 0.0276 memory: 6108 grad_norm: 7.5272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3684 loss: 1.3684 2022/07/23 06:19:40 - mmengine - INFO - Epoch(train) [62][2520/3757] lr: 1.0000e-03 eta: 9:22:00 time: 0.2305 data_time: 0.0220 memory: 6108 grad_norm: 7.5112 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4941 loss: 1.4941 2022/07/23 06:19:45 - mmengine - INFO - Epoch(train) [62][2540/3757] lr: 1.0000e-03 eta: 9:21:55 time: 0.2449 data_time: 0.0227 memory: 6108 grad_norm: 7.4771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3763 loss: 1.3763 2022/07/23 06:19:49 - mmengine - INFO - Epoch(train) [62][2560/3757] lr: 1.0000e-03 eta: 9:21:51 time: 0.2251 data_time: 0.0239 memory: 6108 grad_norm: 7.5064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2874 loss: 1.2874 2022/07/23 06:19:54 - mmengine - INFO - Epoch(train) [62][2580/3757] lr: 1.0000e-03 eta: 9:21:46 time: 0.2461 data_time: 0.0260 memory: 6108 grad_norm: 7.2382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1589 loss: 1.1589 2022/07/23 06:19:59 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 1.0000e-03 eta: 9:21:41 time: 0.2227 data_time: 0.0207 memory: 6108 grad_norm: 7.6150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3292 loss: 1.3292 2022/07/23 06:20:04 - mmengine - INFO - Epoch(train) [62][2620/3757] lr: 1.0000e-03 eta: 9:21:37 time: 0.2506 data_time: 0.0499 memory: 6108 grad_norm: 7.7116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6901 loss: 1.6901 2022/07/23 06:20:08 - mmengine - INFO - Epoch(train) [62][2640/3757] lr: 1.0000e-03 eta: 9:21:32 time: 0.2291 data_time: 0.0246 memory: 6108 grad_norm: 7.6206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/07/23 06:20:13 - mmengine - INFO - Epoch(train) [62][2660/3757] lr: 1.0000e-03 eta: 9:21:27 time: 0.2370 data_time: 0.0218 memory: 6108 grad_norm: 7.4491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/07/23 06:20:18 - mmengine - INFO - Epoch(train) [62][2680/3757] lr: 1.0000e-03 eta: 9:21:23 time: 0.2547 data_time: 0.0183 memory: 6108 grad_norm: 7.3703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3382 loss: 1.3382 2022/07/23 06:20:23 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 1.0000e-03 eta: 9:21:18 time: 0.2303 data_time: 0.0215 memory: 6108 grad_norm: 7.5687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3086 loss: 1.3086 2022/07/23 06:20:28 - mmengine - INFO - Epoch(train) [62][2720/3757] lr: 1.0000e-03 eta: 9:21:13 time: 0.2267 data_time: 0.0284 memory: 6108 grad_norm: 7.3425 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3276 loss: 1.3276 2022/07/23 06:20:33 - mmengine - INFO - Epoch(train) [62][2740/3757] lr: 1.0000e-03 eta: 9:21:09 time: 0.2527 data_time: 0.0243 memory: 6108 grad_norm: 7.6886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/07/23 06:20:38 - mmengine - INFO - Epoch(train) [62][2760/3757] lr: 1.0000e-03 eta: 9:21:04 time: 0.2497 data_time: 0.0219 memory: 6108 grad_norm: 7.4686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/07/23 06:20:42 - mmengine - INFO - Epoch(train) [62][2780/3757] lr: 1.0000e-03 eta: 9:21:00 time: 0.2298 data_time: 0.0216 memory: 6108 grad_norm: 7.6927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5314 loss: 1.5314 2022/07/23 06:20:47 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 1.0000e-03 eta: 9:20:55 time: 0.2302 data_time: 0.0220 memory: 6108 grad_norm: 7.7448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8344 loss: 1.8344 2022/07/23 06:20:52 - mmengine - INFO - Epoch(train) [62][2820/3757] lr: 1.0000e-03 eta: 9:20:50 time: 0.2395 data_time: 0.0256 memory: 6108 grad_norm: 7.5291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3982 loss: 1.3982 2022/07/23 06:20:52 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:20:56 - mmengine - INFO - Epoch(train) [62][2840/3757] lr: 1.0000e-03 eta: 9:20:46 time: 0.2278 data_time: 0.0248 memory: 6108 grad_norm: 7.4650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4925 loss: 1.4925 2022/07/23 06:21:01 - mmengine - INFO - Epoch(train) [62][2860/3757] lr: 1.0000e-03 eta: 9:20:41 time: 0.2267 data_time: 0.0208 memory: 6108 grad_norm: 7.0802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3058 loss: 1.3058 2022/07/23 06:21:05 - mmengine - INFO - Epoch(train) [62][2880/3757] lr: 1.0000e-03 eta: 9:20:36 time: 0.2276 data_time: 0.0182 memory: 6108 grad_norm: 7.3709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/07/23 06:21:10 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 1.0000e-03 eta: 9:20:31 time: 0.2295 data_time: 0.0231 memory: 6108 grad_norm: 7.8148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4575 loss: 1.4575 2022/07/23 06:21:15 - mmengine - INFO - Epoch(train) [62][2920/3757] lr: 1.0000e-03 eta: 9:20:27 time: 0.2405 data_time: 0.0287 memory: 6108 grad_norm: 7.6044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3759 loss: 1.3759 2022/07/23 06:21:19 - mmengine - INFO - Epoch(train) [62][2940/3757] lr: 1.0000e-03 eta: 9:20:22 time: 0.2246 data_time: 0.0197 memory: 6108 grad_norm: 7.4976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5634 loss: 1.5634 2022/07/23 06:21:24 - mmengine - INFO - Epoch(train) [62][2960/3757] lr: 1.0000e-03 eta: 9:20:17 time: 0.2304 data_time: 0.0266 memory: 6108 grad_norm: 7.1476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0732 loss: 1.0732 2022/07/23 06:21:29 - mmengine - INFO - Epoch(train) [62][2980/3757] lr: 1.0000e-03 eta: 9:20:13 time: 0.2381 data_time: 0.0210 memory: 6108 grad_norm: 7.7571 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2999 loss: 1.2999 2022/07/23 06:21:33 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 1.0000e-03 eta: 9:20:08 time: 0.2256 data_time: 0.0266 memory: 6108 grad_norm: 7.4694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/07/23 06:21:38 - mmengine - INFO - Epoch(train) [62][3020/3757] lr: 1.0000e-03 eta: 9:20:03 time: 0.2303 data_time: 0.0255 memory: 6108 grad_norm: 7.4478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6586 loss: 1.6586 2022/07/23 06:21:43 - mmengine - INFO - Epoch(train) [62][3040/3757] lr: 1.0000e-03 eta: 9:19:58 time: 0.2411 data_time: 0.0191 memory: 6108 grad_norm: 7.2539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3760 loss: 1.3760 2022/07/23 06:21:47 - mmengine - INFO - Epoch(train) [62][3060/3757] lr: 1.0000e-03 eta: 9:19:54 time: 0.2218 data_time: 0.0191 memory: 6108 grad_norm: 7.4999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1254 loss: 1.1254 2022/07/23 06:21:52 - mmengine - INFO - Epoch(train) [62][3080/3757] lr: 1.0000e-03 eta: 9:19:49 time: 0.2328 data_time: 0.0326 memory: 6108 grad_norm: 7.4595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4105 loss: 1.4105 2022/07/23 06:21:57 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 1.0000e-03 eta: 9:19:44 time: 0.2333 data_time: 0.0303 memory: 6108 grad_norm: 7.5531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2643 loss: 1.2643 2022/07/23 06:22:01 - mmengine - INFO - Epoch(train) [62][3120/3757] lr: 1.0000e-03 eta: 9:19:39 time: 0.2302 data_time: 0.0223 memory: 6108 grad_norm: 7.3465 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5751 loss: 1.5751 2022/07/23 06:22:06 - mmengine - INFO - Epoch(train) [62][3140/3757] lr: 1.0000e-03 eta: 9:19:35 time: 0.2307 data_time: 0.0347 memory: 6108 grad_norm: 7.5704 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/07/23 06:22:10 - mmengine - INFO - Epoch(train) [62][3160/3757] lr: 1.0000e-03 eta: 9:19:30 time: 0.2244 data_time: 0.0234 memory: 6108 grad_norm: 7.6585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/07/23 06:22:15 - mmengine - INFO - Epoch(train) [62][3180/3757] lr: 1.0000e-03 eta: 9:19:25 time: 0.2300 data_time: 0.0229 memory: 6108 grad_norm: 7.5510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4145 loss: 1.4145 2022/07/23 06:22:20 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 1.0000e-03 eta: 9:19:21 time: 0.2311 data_time: 0.0379 memory: 6108 grad_norm: 7.4715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4502 loss: 1.4502 2022/07/23 06:22:24 - mmengine - INFO - Epoch(train) [62][3220/3757] lr: 1.0000e-03 eta: 9:19:16 time: 0.2366 data_time: 0.0297 memory: 6108 grad_norm: 7.5805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/07/23 06:22:30 - mmengine - INFO - Epoch(train) [62][3240/3757] lr: 1.0000e-03 eta: 9:19:11 time: 0.2602 data_time: 0.0172 memory: 6108 grad_norm: 7.4930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3312 loss: 1.3312 2022/07/23 06:22:34 - mmengine - INFO - Epoch(train) [62][3260/3757] lr: 1.0000e-03 eta: 9:19:07 time: 0.2303 data_time: 0.0219 memory: 6108 grad_norm: 7.3375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4874 loss: 1.4874 2022/07/23 06:22:39 - mmengine - INFO - Epoch(train) [62][3280/3757] lr: 1.0000e-03 eta: 9:19:02 time: 0.2288 data_time: 0.0240 memory: 6108 grad_norm: 7.5049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1969 loss: 1.1969 2022/07/23 06:22:44 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 1.0000e-03 eta: 9:18:58 time: 0.2504 data_time: 0.0224 memory: 6108 grad_norm: 7.3981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4616 loss: 1.4616 2022/07/23 06:22:48 - mmengine - INFO - Epoch(train) [62][3320/3757] lr: 1.0000e-03 eta: 9:18:53 time: 0.2270 data_time: 0.0242 memory: 6108 grad_norm: 7.7549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4743 loss: 1.4743 2022/07/23 06:22:53 - mmengine - INFO - Epoch(train) [62][3340/3757] lr: 1.0000e-03 eta: 9:18:48 time: 0.2305 data_time: 0.0244 memory: 6108 grad_norm: 7.7198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/07/23 06:22:58 - mmengine - INFO - Epoch(train) [62][3360/3757] lr: 1.0000e-03 eta: 9:18:43 time: 0.2266 data_time: 0.0221 memory: 6108 grad_norm: 7.2620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2820 loss: 1.2820 2022/07/23 06:23:03 - mmengine - INFO - Epoch(train) [62][3380/3757] lr: 1.0000e-03 eta: 9:18:39 time: 0.2433 data_time: 0.0258 memory: 6108 grad_norm: 7.3821 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3128 loss: 1.3128 2022/07/23 06:23:07 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 1.0000e-03 eta: 9:18:34 time: 0.2328 data_time: 0.0253 memory: 6108 grad_norm: 7.2568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4702 loss: 1.4702 2022/07/23 06:23:12 - mmengine - INFO - Epoch(train) [62][3420/3757] lr: 1.0000e-03 eta: 9:18:29 time: 0.2238 data_time: 0.0204 memory: 6108 grad_norm: 7.6576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2584 loss: 1.2584 2022/07/23 06:23:16 - mmengine - INFO - Epoch(train) [62][3440/3757] lr: 1.0000e-03 eta: 9:18:24 time: 0.2272 data_time: 0.0234 memory: 6108 grad_norm: 7.4455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2669 loss: 1.2669 2022/07/23 06:23:21 - mmengine - INFO - Epoch(train) [62][3460/3757] lr: 1.0000e-03 eta: 9:18:20 time: 0.2197 data_time: 0.0212 memory: 6108 grad_norm: 7.5748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/07/23 06:23:26 - mmengine - INFO - Epoch(train) [62][3480/3757] lr: 1.0000e-03 eta: 9:18:15 time: 0.2465 data_time: 0.0188 memory: 6108 grad_norm: 7.5337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/07/23 06:23:30 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 1.0000e-03 eta: 9:18:10 time: 0.2283 data_time: 0.0282 memory: 6108 grad_norm: 7.2512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4275 loss: 1.4275 2022/07/23 06:23:35 - mmengine - INFO - Epoch(train) [62][3520/3757] lr: 1.0000e-03 eta: 9:18:06 time: 0.2294 data_time: 0.0206 memory: 6108 grad_norm: 7.2766 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3648 loss: 1.3648 2022/07/23 06:23:39 - mmengine - INFO - Epoch(train) [62][3540/3757] lr: 1.0000e-03 eta: 9:18:01 time: 0.2266 data_time: 0.0236 memory: 6108 grad_norm: 7.4730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/07/23 06:23:45 - mmengine - INFO - Epoch(train) [62][3560/3757] lr: 1.0000e-03 eta: 9:17:56 time: 0.2545 data_time: 0.0271 memory: 6108 grad_norm: 7.7186 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3992 loss: 1.3992 2022/07/23 06:23:49 - mmengine - INFO - Epoch(train) [62][3580/3757] lr: 1.0000e-03 eta: 9:17:52 time: 0.2278 data_time: 0.0228 memory: 6108 grad_norm: 7.3825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1992 loss: 1.1992 2022/07/23 06:23:54 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 1.0000e-03 eta: 9:17:47 time: 0.2277 data_time: 0.0256 memory: 6108 grad_norm: 7.2832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4304 loss: 1.4304 2022/07/23 06:23:58 - mmengine - INFO - Epoch(train) [62][3620/3757] lr: 1.0000e-03 eta: 9:17:42 time: 0.2273 data_time: 0.0245 memory: 6108 grad_norm: 7.6531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2860 loss: 1.2860 2022/07/23 06:24:03 - mmengine - INFO - Epoch(train) [62][3640/3757] lr: 1.0000e-03 eta: 9:17:37 time: 0.2362 data_time: 0.0204 memory: 6108 grad_norm: 7.4252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3716 loss: 1.3716 2022/07/23 06:24:08 - mmengine - INFO - Epoch(train) [62][3660/3757] lr: 1.0000e-03 eta: 9:17:33 time: 0.2398 data_time: 0.0219 memory: 6108 grad_norm: 7.4338 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5872 loss: 1.5872 2022/07/23 06:24:12 - mmengine - INFO - Epoch(train) [62][3680/3757] lr: 1.0000e-03 eta: 9:17:28 time: 0.2263 data_time: 0.0246 memory: 6108 grad_norm: 7.5703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/07/23 06:24:17 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 1.0000e-03 eta: 9:17:23 time: 0.2279 data_time: 0.0216 memory: 6108 grad_norm: 7.2189 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1475 loss: 1.1475 2022/07/23 06:24:22 - mmengine - INFO - Epoch(train) [62][3720/3757] lr: 1.0000e-03 eta: 9:17:19 time: 0.2369 data_time: 0.0253 memory: 6108 grad_norm: 7.5964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3243 loss: 1.3243 2022/07/23 06:24:26 - mmengine - INFO - Epoch(train) [62][3740/3757] lr: 1.0000e-03 eta: 9:17:14 time: 0.2371 data_time: 0.0266 memory: 6108 grad_norm: 7.1920 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5117 loss: 1.5117 2022/07/23 06:24:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:24:30 - mmengine - INFO - Epoch(train) [62][3757/3757] lr: 1.0000e-03 eta: 9:17:14 time: 0.1967 data_time: 0.0172 memory: 6108 grad_norm: 7.4439 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5509 loss: 1.5509 2022/07/23 06:24:35 - mmengine - INFO - Epoch(val) [62][20/310] eta: 0:01:21 time: 0.2803 data_time: 0.2029 memory: 1428 2022/07/23 06:24:39 - mmengine - INFO - Epoch(val) [62][40/310] eta: 0:00:48 time: 0.1786 data_time: 0.1024 memory: 1428 2022/07/23 06:24:43 - mmengine - INFO - Epoch(val) [62][60/310] eta: 0:00:55 time: 0.2227 data_time: 0.1170 memory: 1428 2022/07/23 06:24:47 - mmengine - INFO - Epoch(val) [62][80/310] eta: 0:00:46 time: 0.2009 data_time: 0.1197 memory: 1428 2022/07/23 06:24:52 - mmengine - INFO - Epoch(val) [62][100/310] eta: 0:00:47 time: 0.2240 data_time: 0.1476 memory: 1428 2022/07/23 06:24:56 - mmengine - INFO - Epoch(val) [62][120/310] eta: 0:00:36 time: 0.1941 data_time: 0.1193 memory: 1428 2022/07/23 06:25:01 - mmengine - INFO - Epoch(val) [62][140/310] eta: 0:00:42 time: 0.2524 data_time: 0.1733 memory: 1428 2022/07/23 06:25:05 - mmengine - INFO - Epoch(val) [62][160/310] eta: 0:00:29 time: 0.1953 data_time: 0.1187 memory: 1428 2022/07/23 06:25:10 - mmengine - INFO - Epoch(val) [62][180/310] eta: 0:00:31 time: 0.2404 data_time: 0.1666 memory: 1428 2022/07/23 06:25:13 - mmengine - INFO - Epoch(val) [62][200/310] eta: 0:00:21 time: 0.1955 data_time: 0.1204 memory: 1428 2022/07/23 06:25:18 - mmengine - INFO - Epoch(val) [62][220/310] eta: 0:00:20 time: 0.2227 data_time: 0.1444 memory: 1428 2022/07/23 06:25:22 - mmengine - INFO - Epoch(val) [62][240/310] eta: 0:00:14 time: 0.2070 data_time: 0.1185 memory: 1428 2022/07/23 06:25:26 - mmengine - INFO - Epoch(val) [62][260/310] eta: 0:00:10 time: 0.2164 data_time: 0.1394 memory: 1428 2022/07/23 06:25:31 - mmengine - INFO - Epoch(val) [62][280/310] eta: 0:00:06 time: 0.2048 data_time: 0.1306 memory: 1428 2022/07/23 06:25:35 - mmengine - INFO - Epoch(val) [62][300/310] eta: 0:00:02 time: 0.2041 data_time: 0.1317 memory: 1428 2022/07/23 06:25:38 - mmengine - INFO - Epoch(val) [62][310/310] acc/top1: 0.6514 acc/top5: 0.8570 acc/mean1: 0.6512 2022/07/23 06:25:46 - mmengine - INFO - Epoch(train) [63][20/3757] lr: 1.0000e-03 eta: 9:17:05 time: 0.3874 data_time: 0.0888 memory: 6108 grad_norm: 7.1515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/07/23 06:25:50 - mmengine - INFO - Epoch(train) [63][40/3757] lr: 1.0000e-03 eta: 9:17:00 time: 0.2184 data_time: 0.0173 memory: 6108 grad_norm: 7.4845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/07/23 06:25:55 - mmengine - INFO - Epoch(train) [63][60/3757] lr: 1.0000e-03 eta: 9:16:55 time: 0.2388 data_time: 0.0315 memory: 6108 grad_norm: 7.4861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4271 loss: 1.4271 2022/07/23 06:25:56 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:26:00 - mmengine - INFO - Epoch(train) [63][80/3757] lr: 1.0000e-03 eta: 9:16:51 time: 0.2424 data_time: 0.0200 memory: 6108 grad_norm: 7.2566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3312 loss: 1.3312 2022/07/23 06:26:05 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 1.0000e-03 eta: 9:16:46 time: 0.2517 data_time: 0.0191 memory: 6108 grad_norm: 7.3577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2332 loss: 1.2332 2022/07/23 06:26:09 - mmengine - INFO - Epoch(train) [63][120/3757] lr: 1.0000e-03 eta: 9:16:41 time: 0.2369 data_time: 0.0277 memory: 6108 grad_norm: 7.5466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3560 loss: 1.3560 2022/07/23 06:26:14 - mmengine - INFO - Epoch(train) [63][140/3757] lr: 1.0000e-03 eta: 9:16:37 time: 0.2347 data_time: 0.0180 memory: 6108 grad_norm: 7.1642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3754 loss: 1.3754 2022/07/23 06:26:19 - mmengine - INFO - Epoch(train) [63][160/3757] lr: 1.0000e-03 eta: 9:16:32 time: 0.2513 data_time: 0.0189 memory: 6108 grad_norm: 7.6474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/07/23 06:26:24 - mmengine - INFO - Epoch(train) [63][180/3757] lr: 1.0000e-03 eta: 9:16:28 time: 0.2258 data_time: 0.0243 memory: 6108 grad_norm: 7.5345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4158 loss: 1.4158 2022/07/23 06:26:28 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 1.0000e-03 eta: 9:16:23 time: 0.2334 data_time: 0.0282 memory: 6108 grad_norm: 7.3279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2201 loss: 1.2201 2022/07/23 06:26:33 - mmengine - INFO - Epoch(train) [63][220/3757] lr: 1.0000e-03 eta: 9:16:18 time: 0.2335 data_time: 0.0178 memory: 6108 grad_norm: 7.5554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/07/23 06:26:38 - mmengine - INFO - Epoch(train) [63][240/3757] lr: 1.0000e-03 eta: 9:16:13 time: 0.2294 data_time: 0.0231 memory: 6108 grad_norm: 7.4991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2995 loss: 1.2995 2022/07/23 06:26:42 - mmengine - INFO - Epoch(train) [63][260/3757] lr: 1.0000e-03 eta: 9:16:09 time: 0.2354 data_time: 0.0204 memory: 6108 grad_norm: 7.7314 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1478 loss: 1.1478 2022/07/23 06:26:47 - mmengine - INFO - Epoch(train) [63][280/3757] lr: 1.0000e-03 eta: 9:16:04 time: 0.2297 data_time: 0.0226 memory: 6108 grad_norm: 7.5566 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3703 loss: 1.3703 2022/07/23 06:26:52 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 1.0000e-03 eta: 9:15:59 time: 0.2266 data_time: 0.0218 memory: 6108 grad_norm: 7.4048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/07/23 06:26:57 - mmengine - INFO - Epoch(train) [63][320/3757] lr: 1.0000e-03 eta: 9:15:55 time: 0.2433 data_time: 0.0231 memory: 6108 grad_norm: 7.8889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5653 loss: 1.5653 2022/07/23 06:27:01 - mmengine - INFO - Epoch(train) [63][340/3757] lr: 1.0000e-03 eta: 9:15:50 time: 0.2325 data_time: 0.0226 memory: 6108 grad_norm: 7.4631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2835 loss: 1.2835 2022/07/23 06:27:06 - mmengine - INFO - Epoch(train) [63][360/3757] lr: 1.0000e-03 eta: 9:15:45 time: 0.2300 data_time: 0.0265 memory: 6108 grad_norm: 7.3212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2448 loss: 1.2448 2022/07/23 06:27:11 - mmengine - INFO - Epoch(train) [63][380/3757] lr: 1.0000e-03 eta: 9:15:41 time: 0.2494 data_time: 0.0219 memory: 6108 grad_norm: 7.8480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/07/23 06:27:16 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 1.0000e-03 eta: 9:15:36 time: 0.2350 data_time: 0.0324 memory: 6108 grad_norm: 7.6781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4895 loss: 1.4895 2022/07/23 06:27:20 - mmengine - INFO - Epoch(train) [63][420/3757] lr: 1.0000e-03 eta: 9:15:31 time: 0.2256 data_time: 0.0241 memory: 6108 grad_norm: 7.3606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/07/23 06:27:25 - mmengine - INFO - Epoch(train) [63][440/3757] lr: 1.0000e-03 eta: 9:15:27 time: 0.2304 data_time: 0.0187 memory: 6108 grad_norm: 7.4238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/07/23 06:27:29 - mmengine - INFO - Epoch(train) [63][460/3757] lr: 1.0000e-03 eta: 9:15:22 time: 0.2332 data_time: 0.0216 memory: 6108 grad_norm: 7.3727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3016 loss: 1.3016 2022/07/23 06:27:34 - mmengine - INFO - Epoch(train) [63][480/3757] lr: 1.0000e-03 eta: 9:15:17 time: 0.2484 data_time: 0.0235 memory: 6108 grad_norm: 7.5102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1172 loss: 1.1172 2022/07/23 06:27:39 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 1.0000e-03 eta: 9:15:13 time: 0.2277 data_time: 0.0361 memory: 6108 grad_norm: 7.3365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3432 loss: 1.3432 2022/07/23 06:27:44 - mmengine - INFO - Epoch(train) [63][520/3757] lr: 1.0000e-03 eta: 9:15:08 time: 0.2544 data_time: 0.0270 memory: 6108 grad_norm: 7.5671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4155 loss: 1.4155 2022/07/23 06:27:49 - mmengine - INFO - Epoch(train) [63][540/3757] lr: 1.0000e-03 eta: 9:15:03 time: 0.2255 data_time: 0.0229 memory: 6108 grad_norm: 7.4923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1983 loss: 1.1983 2022/07/23 06:27:53 - mmengine - INFO - Epoch(train) [63][560/3757] lr: 1.0000e-03 eta: 9:14:59 time: 0.2328 data_time: 0.0202 memory: 6108 grad_norm: 7.4675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0873 loss: 1.0873 2022/07/23 06:27:58 - mmengine - INFO - Epoch(train) [63][580/3757] lr: 1.0000e-03 eta: 9:14:54 time: 0.2285 data_time: 0.0258 memory: 6108 grad_norm: 7.0465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2990 loss: 1.2990 2022/07/23 06:28:03 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 1.0000e-03 eta: 9:14:49 time: 0.2548 data_time: 0.0229 memory: 6108 grad_norm: 7.3388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4219 loss: 1.4219 2022/07/23 06:28:08 - mmengine - INFO - Epoch(train) [63][620/3757] lr: 1.0000e-03 eta: 9:14:45 time: 0.2274 data_time: 0.0182 memory: 6108 grad_norm: 7.4483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/07/23 06:28:13 - mmengine - INFO - Epoch(train) [63][640/3757] lr: 1.0000e-03 eta: 9:14:40 time: 0.2470 data_time: 0.0257 memory: 6108 grad_norm: 7.5423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/07/23 06:28:17 - mmengine - INFO - Epoch(train) [63][660/3757] lr: 1.0000e-03 eta: 9:14:35 time: 0.2266 data_time: 0.0294 memory: 6108 grad_norm: 7.2840 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3456 loss: 1.3456 2022/07/23 06:28:22 - mmengine - INFO - Epoch(train) [63][680/3757] lr: 1.0000e-03 eta: 9:14:31 time: 0.2269 data_time: 0.0211 memory: 6108 grad_norm: 7.5783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6053 loss: 1.6053 2022/07/23 06:28:26 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 1.0000e-03 eta: 9:14:26 time: 0.2366 data_time: 0.0252 memory: 6108 grad_norm: 7.4631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1481 loss: 1.1481 2022/07/23 06:28:31 - mmengine - INFO - Epoch(train) [63][720/3757] lr: 1.0000e-03 eta: 9:14:21 time: 0.2300 data_time: 0.0290 memory: 6108 grad_norm: 7.6223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5129 loss: 1.5129 2022/07/23 06:28:36 - mmengine - INFO - Epoch(train) [63][740/3757] lr: 1.0000e-03 eta: 9:14:17 time: 0.2546 data_time: 0.0308 memory: 6108 grad_norm: 7.7923 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4983 loss: 1.4983 2022/07/23 06:28:41 - mmengine - INFO - Epoch(train) [63][760/3757] lr: 1.0000e-03 eta: 9:14:12 time: 0.2301 data_time: 0.0229 memory: 6108 grad_norm: 7.3925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4179 loss: 1.4179 2022/07/23 06:28:46 - mmengine - INFO - Epoch(train) [63][780/3757] lr: 1.0000e-03 eta: 9:14:07 time: 0.2413 data_time: 0.0254 memory: 6108 grad_norm: 7.2923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4189 loss: 1.4189 2022/07/23 06:28:50 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 1.0000e-03 eta: 9:14:03 time: 0.2284 data_time: 0.0222 memory: 6108 grad_norm: 7.7061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6415 loss: 1.6415 2022/07/23 06:28:55 - mmengine - INFO - Epoch(train) [63][820/3757] lr: 1.0000e-03 eta: 9:13:58 time: 0.2486 data_time: 0.0230 memory: 6108 grad_norm: 7.5343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3530 loss: 1.3530 2022/07/23 06:29:00 - mmengine - INFO - Epoch(train) [63][840/3757] lr: 1.0000e-03 eta: 9:13:54 time: 0.2358 data_time: 0.0336 memory: 6108 grad_norm: 7.5530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5895 loss: 1.5895 2022/07/23 06:29:05 - mmengine - INFO - Epoch(train) [63][860/3757] lr: 1.0000e-03 eta: 9:13:49 time: 0.2297 data_time: 0.0240 memory: 6108 grad_norm: 7.5594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/07/23 06:29:09 - mmengine - INFO - Epoch(train) [63][880/3757] lr: 1.0000e-03 eta: 9:13:44 time: 0.2326 data_time: 0.0246 memory: 6108 grad_norm: 7.8707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3576 loss: 1.3576 2022/07/23 06:29:14 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 1.0000e-03 eta: 9:13:40 time: 0.2566 data_time: 0.0232 memory: 6108 grad_norm: 7.5931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3696 loss: 1.3696 2022/07/23 06:29:19 - mmengine - INFO - Epoch(train) [63][920/3757] lr: 1.0000e-03 eta: 9:13:35 time: 0.2284 data_time: 0.0185 memory: 6108 grad_norm: 7.7818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6707 loss: 1.6707 2022/07/23 06:29:24 - mmengine - INFO - Epoch(train) [63][940/3757] lr: 1.0000e-03 eta: 9:13:30 time: 0.2282 data_time: 0.0234 memory: 6108 grad_norm: 7.7821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2253 loss: 1.2253 2022/07/23 06:29:28 - mmengine - INFO - Epoch(train) [63][960/3757] lr: 1.0000e-03 eta: 9:13:25 time: 0.2269 data_time: 0.0237 memory: 6108 grad_norm: 7.5073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1649 loss: 1.1649 2022/07/23 06:29:33 - mmengine - INFO - Epoch(train) [63][980/3757] lr: 1.0000e-03 eta: 9:13:21 time: 0.2451 data_time: 0.0239 memory: 6108 grad_norm: 7.6500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4396 loss: 1.4396 2022/07/23 06:29:38 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 1.0000e-03 eta: 9:13:16 time: 0.2403 data_time: 0.0224 memory: 6108 grad_norm: 7.2847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/07/23 06:29:43 - mmengine - INFO - Epoch(train) [63][1020/3757] lr: 1.0000e-03 eta: 9:13:12 time: 0.2546 data_time: 0.0219 memory: 6108 grad_norm: 7.5753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4644 loss: 1.4644 2022/07/23 06:29:47 - mmengine - INFO - Epoch(train) [63][1040/3757] lr: 1.0000e-03 eta: 9:13:07 time: 0.2241 data_time: 0.0182 memory: 6108 grad_norm: 7.5241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3863 loss: 1.3863 2022/07/23 06:29:52 - mmengine - INFO - Epoch(train) [63][1060/3757] lr: 1.0000e-03 eta: 9:13:02 time: 0.2267 data_time: 0.0206 memory: 6108 grad_norm: 7.4158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2827 loss: 1.2827 2022/07/23 06:29:54 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:29:57 - mmengine - INFO - Epoch(train) [63][1080/3757] lr: 1.0000e-03 eta: 9:12:58 time: 0.2511 data_time: 0.0267 memory: 6108 grad_norm: 7.4228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1725 loss: 1.1725 2022/07/23 06:30:02 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 1.0000e-03 eta: 9:12:53 time: 0.2283 data_time: 0.0207 memory: 6108 grad_norm: 7.8055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2322 loss: 1.2322 2022/07/23 06:30:06 - mmengine - INFO - Epoch(train) [63][1120/3757] lr: 1.0000e-03 eta: 9:12:48 time: 0.2334 data_time: 0.0282 memory: 6108 grad_norm: 7.6970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4068 loss: 1.4068 2022/07/23 06:30:11 - mmengine - INFO - Epoch(train) [63][1140/3757] lr: 1.0000e-03 eta: 9:12:44 time: 0.2299 data_time: 0.0219 memory: 6108 grad_norm: 7.6958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3651 loss: 1.3651 2022/07/23 06:30:16 - mmengine - INFO - Epoch(train) [63][1160/3757] lr: 1.0000e-03 eta: 9:12:39 time: 0.2416 data_time: 0.0293 memory: 6108 grad_norm: 7.4305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/07/23 06:30:21 - mmengine - INFO - Epoch(train) [63][1180/3757] lr: 1.0000e-03 eta: 9:12:34 time: 0.2350 data_time: 0.0300 memory: 6108 grad_norm: 7.4981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/07/23 06:30:25 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 1.0000e-03 eta: 9:12:30 time: 0.2257 data_time: 0.0272 memory: 6108 grad_norm: 7.5871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/07/23 06:30:30 - mmengine - INFO - Epoch(train) [63][1220/3757] lr: 1.0000e-03 eta: 9:12:25 time: 0.2336 data_time: 0.0213 memory: 6108 grad_norm: 7.6935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3337 loss: 1.3337 2022/07/23 06:30:35 - mmengine - INFO - Epoch(train) [63][1240/3757] lr: 1.0000e-03 eta: 9:12:20 time: 0.2486 data_time: 0.0176 memory: 6108 grad_norm: 7.6034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4402 loss: 1.4402 2022/07/23 06:30:39 - mmengine - INFO - Epoch(train) [63][1260/3757] lr: 1.0000e-03 eta: 9:12:16 time: 0.2279 data_time: 0.0234 memory: 6108 grad_norm: 7.3320 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3176 loss: 1.3176 2022/07/23 06:30:44 - mmengine - INFO - Epoch(train) [63][1280/3757] lr: 1.0000e-03 eta: 9:12:11 time: 0.2298 data_time: 0.0223 memory: 6108 grad_norm: 7.3956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/23 06:30:49 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 1.0000e-03 eta: 9:12:06 time: 0.2263 data_time: 0.0259 memory: 6108 grad_norm: 8.0970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1060 loss: 1.1060 2022/07/23 06:30:54 - mmengine - INFO - Epoch(train) [63][1320/3757] lr: 1.0000e-03 eta: 9:12:02 time: 0.2475 data_time: 0.0309 memory: 6108 grad_norm: 7.8594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4692 loss: 1.4692 2022/07/23 06:30:58 - mmengine - INFO - Epoch(train) [63][1340/3757] lr: 1.0000e-03 eta: 9:11:57 time: 0.2259 data_time: 0.0228 memory: 6108 grad_norm: 7.4210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1600 loss: 1.1600 2022/07/23 06:31:03 - mmengine - INFO - Epoch(train) [63][1360/3757] lr: 1.0000e-03 eta: 9:11:52 time: 0.2290 data_time: 0.0240 memory: 6108 grad_norm: 7.4141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3746 loss: 1.3746 2022/07/23 06:31:07 - mmengine - INFO - Epoch(train) [63][1380/3757] lr: 1.0000e-03 eta: 9:11:47 time: 0.2316 data_time: 0.0269 memory: 6108 grad_norm: 7.7807 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4766 loss: 1.4766 2022/07/23 06:31:12 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 1.0000e-03 eta: 9:11:43 time: 0.2540 data_time: 0.0179 memory: 6108 grad_norm: 7.6549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4634 loss: 1.4634 2022/07/23 06:31:17 - mmengine - INFO - Epoch(train) [63][1420/3757] lr: 1.0000e-03 eta: 9:11:38 time: 0.2401 data_time: 0.0272 memory: 6108 grad_norm: 7.4594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/07/23 06:31:22 - mmengine - INFO - Epoch(train) [63][1440/3757] lr: 1.0000e-03 eta: 9:11:34 time: 0.2316 data_time: 0.0227 memory: 6108 grad_norm: 7.3408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/07/23 06:31:27 - mmengine - INFO - Epoch(train) [63][1460/3757] lr: 1.0000e-03 eta: 9:11:29 time: 0.2328 data_time: 0.0191 memory: 6108 grad_norm: 7.2761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5436 loss: 1.5436 2022/07/23 06:31:31 - mmengine - INFO - Epoch(train) [63][1480/3757] lr: 1.0000e-03 eta: 9:11:24 time: 0.2279 data_time: 0.0185 memory: 6108 grad_norm: 7.4893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8039 loss: 1.8039 2022/07/23 06:31:36 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 1.0000e-03 eta: 9:11:19 time: 0.2350 data_time: 0.0271 memory: 6108 grad_norm: 7.5677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4783 loss: 1.4783 2022/07/23 06:31:41 - mmengine - INFO - Epoch(train) [63][1520/3757] lr: 1.0000e-03 eta: 9:11:15 time: 0.2332 data_time: 0.0219 memory: 6108 grad_norm: 7.2451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0422 loss: 1.0422 2022/07/23 06:31:45 - mmengine - INFO - Epoch(train) [63][1540/3757] lr: 1.0000e-03 eta: 9:11:10 time: 0.2293 data_time: 0.0260 memory: 6108 grad_norm: 7.6748 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/07/23 06:31:50 - mmengine - INFO - Epoch(train) [63][1560/3757] lr: 1.0000e-03 eta: 9:11:05 time: 0.2433 data_time: 0.0238 memory: 6108 grad_norm: 7.5868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1582 loss: 1.1582 2022/07/23 06:31:55 - mmengine - INFO - Epoch(train) [63][1580/3757] lr: 1.0000e-03 eta: 9:11:01 time: 0.2369 data_time: 0.0179 memory: 6108 grad_norm: 7.1791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/07/23 06:31:59 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 1.0000e-03 eta: 9:10:56 time: 0.2276 data_time: 0.0226 memory: 6108 grad_norm: 7.4151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/07/23 06:32:04 - mmengine - INFO - Epoch(train) [63][1620/3757] lr: 1.0000e-03 eta: 9:10:51 time: 0.2338 data_time: 0.0243 memory: 6108 grad_norm: 7.4369 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4808 loss: 1.4808 2022/07/23 06:32:09 - mmengine - INFO - Epoch(train) [63][1640/3757] lr: 1.0000e-03 eta: 9:10:47 time: 0.2276 data_time: 0.0247 memory: 6108 grad_norm: 7.5371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5485 loss: 1.5485 2022/07/23 06:32:14 - mmengine - INFO - Epoch(train) [63][1660/3757] lr: 1.0000e-03 eta: 9:10:42 time: 0.2525 data_time: 0.0203 memory: 6108 grad_norm: 7.5933 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4009 loss: 1.4009 2022/07/23 06:32:18 - mmengine - INFO - Epoch(train) [63][1680/3757] lr: 1.0000e-03 eta: 9:10:37 time: 0.2289 data_time: 0.0248 memory: 6108 grad_norm: 7.5587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5933 loss: 1.5933 2022/07/23 06:32:23 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 1.0000e-03 eta: 9:10:33 time: 0.2350 data_time: 0.0203 memory: 6108 grad_norm: 7.5685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2923 loss: 1.2923 2022/07/23 06:32:28 - mmengine - INFO - Epoch(train) [63][1720/3757] lr: 1.0000e-03 eta: 9:10:28 time: 0.2234 data_time: 0.0261 memory: 6108 grad_norm: 7.6899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3134 loss: 1.3134 2022/07/23 06:32:32 - mmengine - INFO - Epoch(train) [63][1740/3757] lr: 1.0000e-03 eta: 9:10:23 time: 0.2319 data_time: 0.0207 memory: 6108 grad_norm: 7.6810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3360 loss: 1.3360 2022/07/23 06:32:37 - mmengine - INFO - Epoch(train) [63][1760/3757] lr: 1.0000e-03 eta: 9:10:18 time: 0.2361 data_time: 0.0198 memory: 6108 grad_norm: 7.9248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/07/23 06:32:41 - mmengine - INFO - Epoch(train) [63][1780/3757] lr: 1.0000e-03 eta: 9:10:14 time: 0.2248 data_time: 0.0252 memory: 6108 grad_norm: 7.6865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/07/23 06:32:46 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 1.0000e-03 eta: 9:10:09 time: 0.2302 data_time: 0.0213 memory: 6108 grad_norm: 7.6084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4938 loss: 1.4938 2022/07/23 06:32:51 - mmengine - INFO - Epoch(train) [63][1820/3757] lr: 1.0000e-03 eta: 9:10:04 time: 0.2368 data_time: 0.0231 memory: 6108 grad_norm: 7.6077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/07/23 06:32:56 - mmengine - INFO - Epoch(train) [63][1840/3757] lr: 1.0000e-03 eta: 9:10:00 time: 0.2322 data_time: 0.0185 memory: 6108 grad_norm: 7.8372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4658 loss: 1.4658 2022/07/23 06:33:00 - mmengine - INFO - Epoch(train) [63][1860/3757] lr: 1.0000e-03 eta: 9:09:55 time: 0.2277 data_time: 0.0225 memory: 6108 grad_norm: 7.3254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3191 loss: 1.3191 2022/07/23 06:33:05 - mmengine - INFO - Epoch(train) [63][1880/3757] lr: 1.0000e-03 eta: 9:09:50 time: 0.2346 data_time: 0.0179 memory: 6108 grad_norm: 7.5039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2663 loss: 1.2663 2022/07/23 06:33:09 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 1.0000e-03 eta: 9:09:45 time: 0.2276 data_time: 0.0231 memory: 6108 grad_norm: 7.5354 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6066 loss: 1.6066 2022/07/23 06:33:15 - mmengine - INFO - Epoch(train) [63][1920/3757] lr: 1.0000e-03 eta: 9:09:41 time: 0.2588 data_time: 0.0206 memory: 6108 grad_norm: 7.7649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/07/23 06:33:19 - mmengine - INFO - Epoch(train) [63][1940/3757] lr: 1.0000e-03 eta: 9:09:36 time: 0.2299 data_time: 0.0210 memory: 6108 grad_norm: 7.4760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5129 loss: 1.5129 2022/07/23 06:33:24 - mmengine - INFO - Epoch(train) [63][1960/3757] lr: 1.0000e-03 eta: 9:09:32 time: 0.2344 data_time: 0.0199 memory: 6108 grad_norm: 7.5407 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2180 loss: 1.2180 2022/07/23 06:33:29 - mmengine - INFO - Epoch(train) [63][1980/3757] lr: 1.0000e-03 eta: 9:09:27 time: 0.2325 data_time: 0.0249 memory: 6108 grad_norm: 7.5739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4144 loss: 1.4144 2022/07/23 06:33:33 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 1.0000e-03 eta: 9:09:22 time: 0.2350 data_time: 0.0218 memory: 6108 grad_norm: 7.4012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2632 loss: 1.2632 2022/07/23 06:33:38 - mmengine - INFO - Epoch(train) [63][2020/3757] lr: 1.0000e-03 eta: 9:09:17 time: 0.2261 data_time: 0.0213 memory: 6108 grad_norm: 7.2758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3552 loss: 1.3552 2022/07/23 06:33:43 - mmengine - INFO - Epoch(train) [63][2040/3757] lr: 1.0000e-03 eta: 9:09:13 time: 0.2355 data_time: 0.0250 memory: 6108 grad_norm: 7.4642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3618 loss: 1.3618 2022/07/23 06:33:47 - mmengine - INFO - Epoch(train) [63][2060/3757] lr: 1.0000e-03 eta: 9:09:08 time: 0.2286 data_time: 0.0265 memory: 6108 grad_norm: 7.1353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2215 loss: 1.2215 2022/07/23 06:33:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:33:52 - mmengine - INFO - Epoch(train) [63][2080/3757] lr: 1.0000e-03 eta: 9:09:03 time: 0.2311 data_time: 0.0243 memory: 6108 grad_norm: 7.5463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3793 loss: 1.3793 2022/07/23 06:33:57 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 1.0000e-03 eta: 9:08:59 time: 0.2468 data_time: 0.0247 memory: 6108 grad_norm: 7.4222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3230 loss: 1.3230 2022/07/23 06:34:01 - mmengine - INFO - Epoch(train) [63][2120/3757] lr: 1.0000e-03 eta: 9:08:54 time: 0.2329 data_time: 0.0256 memory: 6108 grad_norm: 7.5917 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5664 loss: 1.5664 2022/07/23 06:34:06 - mmengine - INFO - Epoch(train) [63][2140/3757] lr: 1.0000e-03 eta: 9:08:49 time: 0.2300 data_time: 0.0282 memory: 6108 grad_norm: 7.5772 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4423 loss: 1.4423 2022/07/23 06:34:11 - mmengine - INFO - Epoch(train) [63][2160/3757] lr: 1.0000e-03 eta: 9:08:45 time: 0.2380 data_time: 0.0303 memory: 6108 grad_norm: 7.7969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4275 loss: 1.4275 2022/07/23 06:34:15 - mmengine - INFO - Epoch(train) [63][2180/3757] lr: 1.0000e-03 eta: 9:08:40 time: 0.2291 data_time: 0.0270 memory: 6108 grad_norm: 7.6615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2860 loss: 1.2860 2022/07/23 06:34:20 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 1.0000e-03 eta: 9:08:35 time: 0.2254 data_time: 0.0266 memory: 6108 grad_norm: 7.5200 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4047 loss: 1.4047 2022/07/23 06:34:25 - mmengine - INFO - Epoch(train) [63][2220/3757] lr: 1.0000e-03 eta: 9:08:30 time: 0.2348 data_time: 0.0276 memory: 6108 grad_norm: 7.6261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3376 loss: 1.3376 2022/07/23 06:34:30 - mmengine - INFO - Epoch(train) [63][2240/3757] lr: 1.0000e-03 eta: 9:08:26 time: 0.2440 data_time: 0.0209 memory: 6108 grad_norm: 7.7249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/07/23 06:34:35 - mmengine - INFO - Epoch(train) [63][2260/3757] lr: 1.0000e-03 eta: 9:08:21 time: 0.2446 data_time: 0.0276 memory: 6108 grad_norm: 7.1405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1192 loss: 1.1192 2022/07/23 06:34:39 - mmengine - INFO - Epoch(train) [63][2280/3757] lr: 1.0000e-03 eta: 9:08:17 time: 0.2344 data_time: 0.0296 memory: 6108 grad_norm: 7.7003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3072 loss: 1.3072 2022/07/23 06:34:44 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 1.0000e-03 eta: 9:08:12 time: 0.2302 data_time: 0.0240 memory: 6108 grad_norm: 7.5934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2510 loss: 1.2510 2022/07/23 06:34:48 - mmengine - INFO - Epoch(train) [63][2320/3757] lr: 1.0000e-03 eta: 9:08:07 time: 0.2268 data_time: 0.0197 memory: 6108 grad_norm: 7.3801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/07/23 06:34:53 - mmengine - INFO - Epoch(train) [63][2340/3757] lr: 1.0000e-03 eta: 9:08:02 time: 0.2268 data_time: 0.0215 memory: 6108 grad_norm: 7.5069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2948 loss: 1.2948 2022/07/23 06:34:58 - mmengine - INFO - Epoch(train) [63][2360/3757] lr: 1.0000e-03 eta: 9:07:58 time: 0.2417 data_time: 0.0233 memory: 6108 grad_norm: 7.3041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3150 loss: 1.3150 2022/07/23 06:35:03 - mmengine - INFO - Epoch(train) [63][2380/3757] lr: 1.0000e-03 eta: 9:07:53 time: 0.2321 data_time: 0.0202 memory: 6108 grad_norm: 7.4617 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0450 loss: 1.0450 2022/07/23 06:35:07 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 1.0000e-03 eta: 9:07:48 time: 0.2398 data_time: 0.0260 memory: 6108 grad_norm: 7.7204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/07/23 06:35:12 - mmengine - INFO - Epoch(train) [63][2420/3757] lr: 1.0000e-03 eta: 9:07:44 time: 0.2253 data_time: 0.0215 memory: 6108 grad_norm: 7.5967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/07/23 06:35:17 - mmengine - INFO - Epoch(train) [63][2440/3757] lr: 1.0000e-03 eta: 9:07:39 time: 0.2361 data_time: 0.0232 memory: 6108 grad_norm: 7.3205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4106 loss: 1.4106 2022/07/23 06:35:21 - mmengine - INFO - Epoch(train) [63][2460/3757] lr: 1.0000e-03 eta: 9:07:34 time: 0.2333 data_time: 0.0224 memory: 6108 grad_norm: 7.5462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4579 loss: 1.4579 2022/07/23 06:35:26 - mmengine - INFO - Epoch(train) [63][2480/3757] lr: 1.0000e-03 eta: 9:07:30 time: 0.2411 data_time: 0.0164 memory: 6108 grad_norm: 7.4185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1698 loss: 1.1698 2022/07/23 06:35:31 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 1.0000e-03 eta: 9:07:25 time: 0.2293 data_time: 0.0301 memory: 6108 grad_norm: 7.2897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1395 loss: 1.1395 2022/07/23 06:35:35 - mmengine - INFO - Epoch(train) [63][2520/3757] lr: 1.0000e-03 eta: 9:07:20 time: 0.2270 data_time: 0.0277 memory: 6108 grad_norm: 7.4983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/07/23 06:35:40 - mmengine - INFO - Epoch(train) [63][2540/3757] lr: 1.0000e-03 eta: 9:07:16 time: 0.2399 data_time: 0.0179 memory: 6108 grad_norm: 7.6339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4672 loss: 1.4672 2022/07/23 06:35:45 - mmengine - INFO - Epoch(train) [63][2560/3757] lr: 1.0000e-03 eta: 9:07:11 time: 0.2472 data_time: 0.0254 memory: 6108 grad_norm: 7.5363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/07/23 06:35:50 - mmengine - INFO - Epoch(train) [63][2580/3757] lr: 1.0000e-03 eta: 9:07:06 time: 0.2255 data_time: 0.0210 memory: 6108 grad_norm: 7.6132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4271 loss: 1.4271 2022/07/23 06:35:54 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 1.0000e-03 eta: 9:07:02 time: 0.2314 data_time: 0.0218 memory: 6108 grad_norm: 7.5758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/07/23 06:35:59 - mmengine - INFO - Epoch(train) [63][2620/3757] lr: 1.0000e-03 eta: 9:06:57 time: 0.2247 data_time: 0.0195 memory: 6108 grad_norm: 7.4595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/07/23 06:36:04 - mmengine - INFO - Epoch(train) [63][2640/3757] lr: 1.0000e-03 eta: 9:06:52 time: 0.2508 data_time: 0.0250 memory: 6108 grad_norm: 7.6943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5165 loss: 1.5165 2022/07/23 06:36:08 - mmengine - INFO - Epoch(train) [63][2660/3757] lr: 1.0000e-03 eta: 9:06:48 time: 0.2279 data_time: 0.0214 memory: 6108 grad_norm: 7.7002 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3663 loss: 1.3663 2022/07/23 06:36:13 - mmengine - INFO - Epoch(train) [63][2680/3757] lr: 1.0000e-03 eta: 9:06:43 time: 0.2314 data_time: 0.0221 memory: 6108 grad_norm: 7.7327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4415 loss: 1.4415 2022/07/23 06:36:18 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 1.0000e-03 eta: 9:06:38 time: 0.2329 data_time: 0.0226 memory: 6108 grad_norm: 7.6340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2150 loss: 1.2150 2022/07/23 06:36:22 - mmengine - INFO - Epoch(train) [63][2720/3757] lr: 1.0000e-03 eta: 9:06:33 time: 0.2265 data_time: 0.0196 memory: 6108 grad_norm: 7.7673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4295 loss: 1.4295 2022/07/23 06:36:27 - mmengine - INFO - Epoch(train) [63][2740/3757] lr: 1.0000e-03 eta: 9:06:29 time: 0.2401 data_time: 0.0281 memory: 6108 grad_norm: 7.6843 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/07/23 06:36:32 - mmengine - INFO - Epoch(train) [63][2760/3757] lr: 1.0000e-03 eta: 9:06:24 time: 0.2408 data_time: 0.0269 memory: 6108 grad_norm: 7.6197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/07/23 06:36:37 - mmengine - INFO - Epoch(train) [63][2780/3757] lr: 1.0000e-03 eta: 9:06:19 time: 0.2379 data_time: 0.0239 memory: 6108 grad_norm: 7.6064 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/07/23 06:36:42 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 1.0000e-03 eta: 9:06:15 time: 0.2388 data_time: 0.0210 memory: 6108 grad_norm: 7.4146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/07/23 06:36:46 - mmengine - INFO - Epoch(train) [63][2820/3757] lr: 1.0000e-03 eta: 9:06:10 time: 0.2319 data_time: 0.0284 memory: 6108 grad_norm: 7.4770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0951 loss: 1.0951 2022/07/23 06:36:51 - mmengine - INFO - Epoch(train) [63][2840/3757] lr: 1.0000e-03 eta: 9:06:05 time: 0.2249 data_time: 0.0254 memory: 6108 grad_norm: 7.3044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/07/23 06:36:56 - mmengine - INFO - Epoch(train) [63][2860/3757] lr: 1.0000e-03 eta: 9:06:01 time: 0.2480 data_time: 0.0452 memory: 6108 grad_norm: 7.5514 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/07/23 06:37:00 - mmengine - INFO - Epoch(train) [63][2880/3757] lr: 1.0000e-03 eta: 9:05:56 time: 0.2362 data_time: 0.0350 memory: 6108 grad_norm: 7.7585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4336 loss: 1.4336 2022/07/23 06:37:05 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 1.0000e-03 eta: 9:05:52 time: 0.2429 data_time: 0.0195 memory: 6108 grad_norm: 7.5913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4159 loss: 1.4159 2022/07/23 06:37:10 - mmengine - INFO - Epoch(train) [63][2920/3757] lr: 1.0000e-03 eta: 9:05:47 time: 0.2270 data_time: 0.0239 memory: 6108 grad_norm: 7.8442 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5053 loss: 1.5053 2022/07/23 06:37:15 - mmengine - INFO - Epoch(train) [63][2940/3757] lr: 1.0000e-03 eta: 9:05:42 time: 0.2311 data_time: 0.0214 memory: 6108 grad_norm: 7.5870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0540 loss: 1.0540 2022/07/23 06:37:19 - mmengine - INFO - Epoch(train) [63][2960/3757] lr: 1.0000e-03 eta: 9:05:37 time: 0.2294 data_time: 0.0277 memory: 6108 grad_norm: 7.6510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2259 loss: 1.2259 2022/07/23 06:37:24 - mmengine - INFO - Epoch(train) [63][2980/3757] lr: 1.0000e-03 eta: 9:05:33 time: 0.2316 data_time: 0.0179 memory: 6108 grad_norm: 7.5335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1870 loss: 1.1870 2022/07/23 06:37:28 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 1.0000e-03 eta: 9:05:28 time: 0.2327 data_time: 0.0201 memory: 6108 grad_norm: 7.7826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2054 loss: 1.2054 2022/07/23 06:37:33 - mmengine - INFO - Epoch(train) [63][3020/3757] lr: 1.0000e-03 eta: 9:05:23 time: 0.2278 data_time: 0.0219 memory: 6108 grad_norm: 7.6678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3370 loss: 1.3370 2022/07/23 06:37:38 - mmengine - INFO - Epoch(train) [63][3040/3757] lr: 1.0000e-03 eta: 9:05:18 time: 0.2255 data_time: 0.0201 memory: 6108 grad_norm: 7.4860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4097 loss: 1.4097 2022/07/23 06:37:42 - mmengine - INFO - Epoch(train) [63][3060/3757] lr: 1.0000e-03 eta: 9:05:14 time: 0.2292 data_time: 0.0251 memory: 6108 grad_norm: 7.6416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6458 loss: 1.6458 2022/07/23 06:37:48 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:37:51 - mmengine - INFO - Epoch(train) [63][3080/3757] lr: 1.0000e-03 eta: 9:05:11 time: 0.4289 data_time: 0.0237 memory: 6108 grad_norm: 7.6062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/07/23 06:37:55 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 1.0000e-03 eta: 9:05:07 time: 0.2278 data_time: 0.0209 memory: 6108 grad_norm: 7.6533 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2499 loss: 1.2499 2022/07/23 06:38:00 - mmengine - INFO - Epoch(train) [63][3120/3757] lr: 1.0000e-03 eta: 9:05:02 time: 0.2212 data_time: 0.0208 memory: 6108 grad_norm: 7.8436 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2825 loss: 1.2825 2022/07/23 06:38:05 - mmengine - INFO - Epoch(train) [63][3140/3757] lr: 1.0000e-03 eta: 9:04:57 time: 0.2445 data_time: 0.0219 memory: 6108 grad_norm: 7.7283 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4044 loss: 1.4044 2022/07/23 06:38:09 - mmengine - INFO - Epoch(train) [63][3160/3757] lr: 1.0000e-03 eta: 9:04:52 time: 0.2245 data_time: 0.0207 memory: 6108 grad_norm: 7.3425 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3010 loss: 1.3010 2022/07/23 06:38:14 - mmengine - INFO - Epoch(train) [63][3180/3757] lr: 1.0000e-03 eta: 9:04:48 time: 0.2375 data_time: 0.0195 memory: 6108 grad_norm: 8.0466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4828 loss: 1.4828 2022/07/23 06:38:18 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 1.0000e-03 eta: 9:04:43 time: 0.2219 data_time: 0.0201 memory: 6108 grad_norm: 7.5487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4085 loss: 1.4085 2022/07/23 06:38:23 - mmengine - INFO - Epoch(train) [63][3220/3757] lr: 1.0000e-03 eta: 9:04:38 time: 0.2338 data_time: 0.0232 memory: 6108 grad_norm: 7.3196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4633 loss: 1.4633 2022/07/23 06:38:28 - mmengine - INFO - Epoch(train) [63][3240/3757] lr: 1.0000e-03 eta: 9:04:34 time: 0.2419 data_time: 0.0245 memory: 6108 grad_norm: 7.5502 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/07/23 06:38:33 - mmengine - INFO - Epoch(train) [63][3260/3757] lr: 1.0000e-03 eta: 9:04:29 time: 0.2275 data_time: 0.0219 memory: 6108 grad_norm: 7.7645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/07/23 06:38:37 - mmengine - INFO - Epoch(train) [63][3280/3757] lr: 1.0000e-03 eta: 9:04:24 time: 0.2362 data_time: 0.0233 memory: 6108 grad_norm: 7.5596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/07/23 06:38:42 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 1.0000e-03 eta: 9:04:19 time: 0.2332 data_time: 0.0241 memory: 6108 grad_norm: 7.5263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/07/23 06:38:47 - mmengine - INFO - Epoch(train) [63][3320/3757] lr: 1.0000e-03 eta: 9:04:15 time: 0.2239 data_time: 0.0214 memory: 6108 grad_norm: 7.5246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2218 loss: 1.2218 2022/07/23 06:38:51 - mmengine - INFO - Epoch(train) [63][3340/3757] lr: 1.0000e-03 eta: 9:04:10 time: 0.2287 data_time: 0.0237 memory: 6108 grad_norm: 7.6210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3151 loss: 1.3151 2022/07/23 06:38:56 - mmengine - INFO - Epoch(train) [63][3360/3757] lr: 1.0000e-03 eta: 9:04:06 time: 0.2663 data_time: 0.0180 memory: 6108 grad_norm: 7.6807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5150 loss: 1.5150 2022/07/23 06:39:01 - mmengine - INFO - Epoch(train) [63][3380/3757] lr: 1.0000e-03 eta: 9:04:01 time: 0.2289 data_time: 0.0248 memory: 6108 grad_norm: 7.6186 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4184 loss: 1.4184 2022/07/23 06:39:06 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 1.0000e-03 eta: 9:03:56 time: 0.2250 data_time: 0.0224 memory: 6108 grad_norm: 7.6076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3505 loss: 1.3505 2022/07/23 06:39:10 - mmengine - INFO - Epoch(train) [63][3420/3757] lr: 1.0000e-03 eta: 9:03:51 time: 0.2264 data_time: 0.0204 memory: 6108 grad_norm: 7.6982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7149 loss: 1.7149 2022/07/23 06:39:15 - mmengine - INFO - Epoch(train) [63][3440/3757] lr: 1.0000e-03 eta: 9:03:47 time: 0.2411 data_time: 0.0235 memory: 6108 grad_norm: 7.4380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2548 loss: 1.2548 2022/07/23 06:39:20 - mmengine - INFO - Epoch(train) [63][3460/3757] lr: 1.0000e-03 eta: 9:03:42 time: 0.2281 data_time: 0.0228 memory: 6108 grad_norm: 7.5661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/07/23 06:39:24 - mmengine - INFO - Epoch(train) [63][3480/3757] lr: 1.0000e-03 eta: 9:03:37 time: 0.2298 data_time: 0.0278 memory: 6108 grad_norm: 7.6669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6000 loss: 1.6000 2022/07/23 06:39:29 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 1.0000e-03 eta: 9:03:32 time: 0.2226 data_time: 0.0195 memory: 6108 grad_norm: 7.4562 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4443 loss: 1.4443 2022/07/23 06:39:34 - mmengine - INFO - Epoch(train) [63][3520/3757] lr: 1.0000e-03 eta: 9:03:28 time: 0.2541 data_time: 0.0572 memory: 6108 grad_norm: 7.5791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1269 loss: 1.1269 2022/07/23 06:39:38 - mmengine - INFO - Epoch(train) [63][3540/3757] lr: 1.0000e-03 eta: 9:03:23 time: 0.2232 data_time: 0.0251 memory: 6108 grad_norm: 7.2396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2381 loss: 1.2381 2022/07/23 06:39:43 - mmengine - INFO - Epoch(train) [63][3560/3757] lr: 1.0000e-03 eta: 9:03:18 time: 0.2330 data_time: 0.0268 memory: 6108 grad_norm: 7.6397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3980 loss: 1.3980 2022/07/23 06:39:48 - mmengine - INFO - Epoch(train) [63][3580/3757] lr: 1.0000e-03 eta: 9:03:14 time: 0.2363 data_time: 0.0344 memory: 6108 grad_norm: 7.6798 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5684 loss: 1.5684 2022/07/23 06:39:52 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 1.0000e-03 eta: 9:03:09 time: 0.2289 data_time: 0.0259 memory: 6108 grad_norm: 7.8290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2930 loss: 1.2930 2022/07/23 06:39:57 - mmengine - INFO - Epoch(train) [63][3620/3757] lr: 1.0000e-03 eta: 9:03:04 time: 0.2312 data_time: 0.0264 memory: 6108 grad_norm: 7.7658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6451 loss: 1.6451 2022/07/23 06:40:02 - mmengine - INFO - Epoch(train) [63][3640/3757] lr: 1.0000e-03 eta: 9:03:00 time: 0.2289 data_time: 0.0268 memory: 6108 grad_norm: 7.4062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2838 loss: 1.2838 2022/07/23 06:40:06 - mmengine - INFO - Epoch(train) [63][3660/3757] lr: 1.0000e-03 eta: 9:02:55 time: 0.2324 data_time: 0.0260 memory: 6108 grad_norm: 7.7005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1863 loss: 1.1863 2022/07/23 06:40:11 - mmengine - INFO - Epoch(train) [63][3680/3757] lr: 1.0000e-03 eta: 9:02:50 time: 0.2261 data_time: 0.0199 memory: 6108 grad_norm: 7.4856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/07/23 06:40:16 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 1.0000e-03 eta: 9:02:46 time: 0.2754 data_time: 0.0218 memory: 6108 grad_norm: 7.6874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4930 loss: 1.4930 2022/07/23 06:40:21 - mmengine - INFO - Epoch(train) [63][3720/3757] lr: 1.0000e-03 eta: 9:02:41 time: 0.2292 data_time: 0.0234 memory: 6108 grad_norm: 7.5120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1971 loss: 1.1971 2022/07/23 06:40:26 - mmengine - INFO - Epoch(train) [63][3740/3757] lr: 1.0000e-03 eta: 9:02:36 time: 0.2297 data_time: 0.0241 memory: 6108 grad_norm: 7.6987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6265 loss: 1.6265 2022/07/23 06:40:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:40:29 - mmengine - INFO - Epoch(train) [63][3757/3757] lr: 1.0000e-03 eta: 9:02:36 time: 0.1955 data_time: 0.0167 memory: 6108 grad_norm: 7.4037 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4187 loss: 1.4187 2022/07/23 06:40:34 - mmengine - INFO - Epoch(val) [63][20/310] eta: 0:01:22 time: 0.2831 data_time: 0.2014 memory: 1428 2022/07/23 06:40:38 - mmengine - INFO - Epoch(val) [63][40/310] eta: 0:00:49 time: 0.1848 data_time: 0.1061 memory: 1428 2022/07/23 06:40:43 - mmengine - INFO - Epoch(val) [63][60/310] eta: 0:00:55 time: 0.2202 data_time: 0.1450 memory: 1428 2022/07/23 06:40:46 - mmengine - INFO - Epoch(val) [63][80/310] eta: 0:00:40 time: 0.1768 data_time: 0.0992 memory: 1428 2022/07/23 06:40:51 - mmengine - INFO - Epoch(val) [63][100/310] eta: 0:00:48 time: 0.2330 data_time: 0.1588 memory: 1428 2022/07/23 06:40:55 - mmengine - INFO - Epoch(val) [63][120/310] eta: 0:00:36 time: 0.1925 data_time: 0.1201 memory: 1428 2022/07/23 06:40:59 - mmengine - INFO - Epoch(val) [63][140/310] eta: 0:00:37 time: 0.2202 data_time: 0.1476 memory: 1428 2022/07/23 06:41:03 - mmengine - INFO - Epoch(val) [63][160/310] eta: 0:00:32 time: 0.2167 data_time: 0.1355 memory: 1428 2022/07/23 06:41:08 - mmengine - INFO - Epoch(val) [63][180/310] eta: 0:00:27 time: 0.2095 data_time: 0.1325 memory: 1428 2022/07/23 06:41:11 - mmengine - INFO - Epoch(val) [63][200/310] eta: 0:00:19 time: 0.1744 data_time: 0.1000 memory: 1428 2022/07/23 06:41:17 - mmengine - INFO - Epoch(val) [63][220/310] eta: 0:00:25 time: 0.2788 data_time: 0.2044 memory: 1428 2022/07/23 06:41:20 - mmengine - INFO - Epoch(val) [63][240/310] eta: 0:00:11 time: 0.1672 data_time: 0.0888 memory: 1428 2022/07/23 06:41:25 - mmengine - INFO - Epoch(val) [63][260/310] eta: 0:00:11 time: 0.2368 data_time: 0.1587 memory: 1428 2022/07/23 06:41:28 - mmengine - INFO - Epoch(val) [63][280/310] eta: 0:00:05 time: 0.1828 data_time: 0.1078 memory: 1428 2022/07/23 06:41:33 - mmengine - INFO - Epoch(val) [63][300/310] eta: 0:00:02 time: 0.2231 data_time: 0.1514 memory: 1428 2022/07/23 06:41:37 - mmengine - INFO - Epoch(val) [63][310/310] acc/top1: 0.6516 acc/top5: 0.8581 acc/mean1: 0.6515 2022/07/23 06:41:43 - mmengine - INFO - Epoch(train) [64][20/3757] lr: 1.0000e-03 eta: 9:02:26 time: 0.3272 data_time: 0.0854 memory: 6108 grad_norm: 7.4164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2652 loss: 1.2652 2022/07/23 06:41:48 - mmengine - INFO - Epoch(train) [64][40/3757] lr: 1.0000e-03 eta: 9:02:22 time: 0.2347 data_time: 0.0186 memory: 6108 grad_norm: 7.1944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/07/23 06:41:53 - mmengine - INFO - Epoch(train) [64][60/3757] lr: 1.0000e-03 eta: 9:02:17 time: 0.2288 data_time: 0.0224 memory: 6108 grad_norm: 7.3066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9890 loss: 0.9890 2022/07/23 06:41:58 - mmengine - INFO - Epoch(train) [64][80/3757] lr: 1.0000e-03 eta: 9:02:13 time: 0.2508 data_time: 0.0195 memory: 6108 grad_norm: 7.5142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4687 loss: 1.4687 2022/07/23 06:42:02 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 1.0000e-03 eta: 9:02:08 time: 0.2275 data_time: 0.0200 memory: 6108 grad_norm: 7.7858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4344 loss: 1.4344 2022/07/23 06:42:07 - mmengine - INFO - Epoch(train) [64][120/3757] lr: 1.0000e-03 eta: 9:02:03 time: 0.2335 data_time: 0.0224 memory: 6108 grad_norm: 7.4658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1838 loss: 1.1838 2022/07/23 06:42:12 - mmengine - INFO - Epoch(train) [64][140/3757] lr: 1.0000e-03 eta: 9:01:58 time: 0.2267 data_time: 0.0231 memory: 6108 grad_norm: 7.7025 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/07/23 06:42:16 - mmengine - INFO - Epoch(train) [64][160/3757] lr: 1.0000e-03 eta: 9:01:54 time: 0.2412 data_time: 0.0214 memory: 6108 grad_norm: 7.6557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3363 loss: 1.3363 2022/07/23 06:42:21 - mmengine - INFO - Epoch(train) [64][180/3757] lr: 1.0000e-03 eta: 9:01:49 time: 0.2271 data_time: 0.0273 memory: 6108 grad_norm: 7.5593 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3245 loss: 1.3245 2022/07/23 06:42:26 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 1.0000e-03 eta: 9:01:44 time: 0.2247 data_time: 0.0219 memory: 6108 grad_norm: 7.6161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/07/23 06:42:30 - mmengine - INFO - Epoch(train) [64][220/3757] lr: 1.0000e-03 eta: 9:01:39 time: 0.2347 data_time: 0.0209 memory: 6108 grad_norm: 7.5468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1358 loss: 1.1358 2022/07/23 06:42:35 - mmengine - INFO - Epoch(train) [64][240/3757] lr: 1.0000e-03 eta: 9:01:35 time: 0.2306 data_time: 0.0248 memory: 6108 grad_norm: 7.6001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3440 loss: 1.3440 2022/07/23 06:42:40 - mmengine - INFO - Epoch(train) [64][260/3757] lr: 1.0000e-03 eta: 9:01:30 time: 0.2304 data_time: 0.0246 memory: 6108 grad_norm: 7.6823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2894 loss: 1.2894 2022/07/23 06:42:44 - mmengine - INFO - Epoch(train) [64][280/3757] lr: 1.0000e-03 eta: 9:01:25 time: 0.2310 data_time: 0.0195 memory: 6108 grad_norm: 7.5894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5002 loss: 1.5002 2022/07/23 06:42:49 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 1.0000e-03 eta: 9:01:21 time: 0.2523 data_time: 0.0273 memory: 6108 grad_norm: 7.3842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/07/23 06:42:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:42:54 - mmengine - INFO - Epoch(train) [64][320/3757] lr: 1.0000e-03 eta: 9:01:16 time: 0.2284 data_time: 0.0184 memory: 6108 grad_norm: 7.5063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3245 loss: 1.3245 2022/07/23 06:42:58 - mmengine - INFO - Epoch(train) [64][340/3757] lr: 1.0000e-03 eta: 9:01:11 time: 0.2286 data_time: 0.0221 memory: 6108 grad_norm: 7.7869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4330 loss: 1.4330 2022/07/23 06:43:03 - mmengine - INFO - Epoch(train) [64][360/3757] lr: 1.0000e-03 eta: 9:01:07 time: 0.2254 data_time: 0.0222 memory: 6108 grad_norm: 7.8063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3182 loss: 1.3182 2022/07/23 06:43:08 - mmengine - INFO - Epoch(train) [64][380/3757] lr: 1.0000e-03 eta: 9:01:02 time: 0.2433 data_time: 0.0224 memory: 6108 grad_norm: 7.7056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/07/23 06:43:13 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 1.0000e-03 eta: 9:00:57 time: 0.2352 data_time: 0.0269 memory: 6108 grad_norm: 7.4172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/07/23 06:43:18 - mmengine - INFO - Epoch(train) [64][420/3757] lr: 1.0000e-03 eta: 9:00:53 time: 0.2467 data_time: 0.0241 memory: 6108 grad_norm: 7.3254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/07/23 06:43:22 - mmengine - INFO - Epoch(train) [64][440/3757] lr: 1.0000e-03 eta: 9:00:48 time: 0.2398 data_time: 0.0218 memory: 6108 grad_norm: 7.5108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3264 loss: 1.3264 2022/07/23 06:43:27 - mmengine - INFO - Epoch(train) [64][460/3757] lr: 1.0000e-03 eta: 9:00:43 time: 0.2281 data_time: 0.0192 memory: 6108 grad_norm: 7.7253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3637 loss: 1.3637 2022/07/23 06:43:32 - mmengine - INFO - Epoch(train) [64][480/3757] lr: 1.0000e-03 eta: 9:00:39 time: 0.2293 data_time: 0.0286 memory: 6108 grad_norm: 7.4861 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4933 loss: 1.4933 2022/07/23 06:43:36 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 1.0000e-03 eta: 9:00:34 time: 0.2367 data_time: 0.0234 memory: 6108 grad_norm: 7.8479 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2948 loss: 1.2948 2022/07/23 06:43:41 - mmengine - INFO - Epoch(train) [64][520/3757] lr: 1.0000e-03 eta: 9:00:29 time: 0.2263 data_time: 0.0245 memory: 6108 grad_norm: 7.7253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1272 loss: 1.1272 2022/07/23 06:43:46 - mmengine - INFO - Epoch(train) [64][540/3757] lr: 1.0000e-03 eta: 9:00:25 time: 0.2374 data_time: 0.0221 memory: 6108 grad_norm: 7.7461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/07/23 06:43:50 - mmengine - INFO - Epoch(train) [64][560/3757] lr: 1.0000e-03 eta: 9:00:20 time: 0.2321 data_time: 0.0242 memory: 6108 grad_norm: 7.7014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/07/23 06:43:55 - mmengine - INFO - Epoch(train) [64][580/3757] lr: 1.0000e-03 eta: 9:00:15 time: 0.2422 data_time: 0.0277 memory: 6108 grad_norm: 7.6336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2697 loss: 1.2697 2022/07/23 06:44:00 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 1.0000e-03 eta: 9:00:11 time: 0.2388 data_time: 0.0263 memory: 6108 grad_norm: 7.4790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2964 loss: 1.2964 2022/07/23 06:44:04 - mmengine - INFO - Epoch(train) [64][620/3757] lr: 1.0000e-03 eta: 9:00:06 time: 0.2263 data_time: 0.0294 memory: 6108 grad_norm: 7.5706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3777 loss: 1.3777 2022/07/23 06:44:09 - mmengine - INFO - Epoch(train) [64][640/3757] lr: 1.0000e-03 eta: 9:00:01 time: 0.2230 data_time: 0.0231 memory: 6108 grad_norm: 7.4721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5157 loss: 1.5157 2022/07/23 06:44:14 - mmengine - INFO - Epoch(train) [64][660/3757] lr: 1.0000e-03 eta: 8:59:56 time: 0.2402 data_time: 0.0238 memory: 6108 grad_norm: 7.6174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/07/23 06:44:18 - mmengine - INFO - Epoch(train) [64][680/3757] lr: 1.0000e-03 eta: 8:59:52 time: 0.2301 data_time: 0.0203 memory: 6108 grad_norm: 7.7542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1699 loss: 1.1699 2022/07/23 06:44:23 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 1.0000e-03 eta: 8:59:47 time: 0.2292 data_time: 0.0236 memory: 6108 grad_norm: 7.6428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2669 loss: 1.2669 2022/07/23 06:44:28 - mmengine - INFO - Epoch(train) [64][720/3757] lr: 1.0000e-03 eta: 8:59:43 time: 0.2587 data_time: 0.0226 memory: 6108 grad_norm: 7.5707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/07/23 06:44:33 - mmengine - INFO - Epoch(train) [64][740/3757] lr: 1.0000e-03 eta: 8:59:38 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 7.9788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5809 loss: 1.5809 2022/07/23 06:44:38 - mmengine - INFO - Epoch(train) [64][760/3757] lr: 1.0000e-03 eta: 8:59:33 time: 0.2459 data_time: 0.0215 memory: 6108 grad_norm: 7.7553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3595 loss: 1.3595 2022/07/23 06:44:42 - mmengine - INFO - Epoch(train) [64][780/3757] lr: 1.0000e-03 eta: 8:59:29 time: 0.2341 data_time: 0.0299 memory: 6108 grad_norm: 7.6391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3297 loss: 1.3297 2022/07/23 06:44:47 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 1.0000e-03 eta: 8:59:24 time: 0.2241 data_time: 0.0222 memory: 6108 grad_norm: 7.7488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2082 loss: 1.2082 2022/07/23 06:44:52 - mmengine - INFO - Epoch(train) [64][820/3757] lr: 1.0000e-03 eta: 8:59:19 time: 0.2279 data_time: 0.0208 memory: 6108 grad_norm: 7.6165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5381 loss: 1.5381 2022/07/23 06:44:56 - mmengine - INFO - Epoch(train) [64][840/3757] lr: 1.0000e-03 eta: 8:59:14 time: 0.2372 data_time: 0.0260 memory: 6108 grad_norm: 7.7402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/07/23 06:45:02 - mmengine - INFO - Epoch(train) [64][860/3757] lr: 1.0000e-03 eta: 8:59:10 time: 0.2625 data_time: 0.0154 memory: 6108 grad_norm: 7.2694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2258 loss: 1.2258 2022/07/23 06:45:06 - mmengine - INFO - Epoch(train) [64][880/3757] lr: 1.0000e-03 eta: 8:59:05 time: 0.2266 data_time: 0.0237 memory: 6108 grad_norm: 7.8435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5034 loss: 1.5034 2022/07/23 06:45:11 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 1.0000e-03 eta: 8:59:01 time: 0.2418 data_time: 0.0226 memory: 6108 grad_norm: 7.3855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/07/23 06:45:16 - mmengine - INFO - Epoch(train) [64][920/3757] lr: 1.0000e-03 eta: 8:58:56 time: 0.2516 data_time: 0.0374 memory: 6108 grad_norm: 7.7439 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1947 loss: 1.1947 2022/07/23 06:45:21 - mmengine - INFO - Epoch(train) [64][940/3757] lr: 1.0000e-03 eta: 8:58:51 time: 0.2279 data_time: 0.0254 memory: 6108 grad_norm: 7.4384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3859 loss: 1.3859 2022/07/23 06:45:25 - mmengine - INFO - Epoch(train) [64][960/3757] lr: 1.0000e-03 eta: 8:58:47 time: 0.2336 data_time: 0.0246 memory: 6108 grad_norm: 7.3884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0327 loss: 1.0327 2022/07/23 06:45:30 - mmengine - INFO - Epoch(train) [64][980/3757] lr: 1.0000e-03 eta: 8:58:42 time: 0.2281 data_time: 0.0211 memory: 6108 grad_norm: 7.4721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/07/23 06:45:35 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 1.0000e-03 eta: 8:58:37 time: 0.2350 data_time: 0.0398 memory: 6108 grad_norm: 7.5538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3627 loss: 1.3627 2022/07/23 06:45:39 - mmengine - INFO - Epoch(train) [64][1020/3757] lr: 1.0000e-03 eta: 8:58:33 time: 0.2333 data_time: 0.0246 memory: 6108 grad_norm: 7.5832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4174 loss: 1.4174 2022/07/23 06:45:44 - mmengine - INFO - Epoch(train) [64][1040/3757] lr: 1.0000e-03 eta: 8:58:28 time: 0.2285 data_time: 0.0252 memory: 6108 grad_norm: 7.6342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5167 loss: 1.5167 2022/07/23 06:45:49 - mmengine - INFO - Epoch(train) [64][1060/3757] lr: 1.0000e-03 eta: 8:58:23 time: 0.2376 data_time: 0.0275 memory: 6108 grad_norm: 7.4155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/07/23 06:45:53 - mmengine - INFO - Epoch(train) [64][1080/3757] lr: 1.0000e-03 eta: 8:58:18 time: 0.2273 data_time: 0.0250 memory: 6108 grad_norm: 7.6612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2570 loss: 1.2570 2022/07/23 06:45:58 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 1.0000e-03 eta: 8:58:14 time: 0.2378 data_time: 0.0218 memory: 6108 grad_norm: 7.6033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6239 loss: 1.6239 2022/07/23 06:46:03 - mmengine - INFO - Epoch(train) [64][1120/3757] lr: 1.0000e-03 eta: 8:58:09 time: 0.2337 data_time: 0.0249 memory: 6108 grad_norm: 7.9549 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3913 loss: 1.3913 2022/07/23 06:46:07 - mmengine - INFO - Epoch(train) [64][1140/3757] lr: 1.0000e-03 eta: 8:58:04 time: 0.2260 data_time: 0.0207 memory: 6108 grad_norm: 7.7998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3641 loss: 1.3641 2022/07/23 06:46:12 - mmengine - INFO - Epoch(train) [64][1160/3757] lr: 1.0000e-03 eta: 8:58:00 time: 0.2288 data_time: 0.0263 memory: 6108 grad_norm: 7.4078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/07/23 06:46:17 - mmengine - INFO - Epoch(train) [64][1180/3757] lr: 1.0000e-03 eta: 8:57:55 time: 0.2359 data_time: 0.0222 memory: 6108 grad_norm: 7.5828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/07/23 06:46:21 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 1.0000e-03 eta: 8:57:50 time: 0.2407 data_time: 0.0249 memory: 6108 grad_norm: 7.3274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1559 loss: 1.1559 2022/07/23 06:46:26 - mmengine - INFO - Epoch(train) [64][1220/3757] lr: 1.0000e-03 eta: 8:57:46 time: 0.2273 data_time: 0.0199 memory: 6108 grad_norm: 7.7477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4152 loss: 1.4152 2022/07/23 06:46:31 - mmengine - INFO - Epoch(train) [64][1240/3757] lr: 1.0000e-03 eta: 8:57:41 time: 0.2331 data_time: 0.0289 memory: 6108 grad_norm: 7.4953 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2111 loss: 1.2111 2022/07/23 06:46:35 - mmengine - INFO - Epoch(train) [64][1260/3757] lr: 1.0000e-03 eta: 8:57:36 time: 0.2367 data_time: 0.0252 memory: 6108 grad_norm: 7.7941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3902 loss: 1.3902 2022/07/23 06:46:40 - mmengine - INFO - Epoch(train) [64][1280/3757] lr: 1.0000e-03 eta: 8:57:32 time: 0.2304 data_time: 0.0317 memory: 6108 grad_norm: 7.5547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5398 loss: 1.5398 2022/07/23 06:46:45 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 1.0000e-03 eta: 8:57:27 time: 0.2240 data_time: 0.0221 memory: 6108 grad_norm: 7.6533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5947 loss: 1.5947 2022/07/23 06:46:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:46:49 - mmengine - INFO - Epoch(train) [64][1320/3757] lr: 1.0000e-03 eta: 8:57:22 time: 0.2268 data_time: 0.0215 memory: 6108 grad_norm: 7.5935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/07/23 06:46:54 - mmengine - INFO - Epoch(train) [64][1340/3757] lr: 1.0000e-03 eta: 8:57:17 time: 0.2302 data_time: 0.0218 memory: 6108 grad_norm: 7.9810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4651 loss: 1.4651 2022/07/23 06:46:59 - mmengine - INFO - Epoch(train) [64][1360/3757] lr: 1.0000e-03 eta: 8:57:13 time: 0.2463 data_time: 0.0263 memory: 6108 grad_norm: 7.2300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4440 loss: 1.4440 2022/07/23 06:47:03 - mmengine - INFO - Epoch(train) [64][1380/3757] lr: 1.0000e-03 eta: 8:57:08 time: 0.2303 data_time: 0.0267 memory: 6108 grad_norm: 7.6781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4959 loss: 1.4959 2022/07/23 06:47:08 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 1.0000e-03 eta: 8:57:03 time: 0.2263 data_time: 0.0235 memory: 6108 grad_norm: 7.9038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5360 loss: 1.5360 2022/07/23 06:47:13 - mmengine - INFO - Epoch(train) [64][1420/3757] lr: 1.0000e-03 eta: 8:56:58 time: 0.2319 data_time: 0.0235 memory: 6108 grad_norm: 7.7831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/07/23 06:47:17 - mmengine - INFO - Epoch(train) [64][1440/3757] lr: 1.0000e-03 eta: 8:56:54 time: 0.2355 data_time: 0.0231 memory: 6108 grad_norm: 7.5471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2853 loss: 1.2853 2022/07/23 06:47:22 - mmengine - INFO - Epoch(train) [64][1460/3757] lr: 1.0000e-03 eta: 8:56:49 time: 0.2307 data_time: 0.0254 memory: 6108 grad_norm: 7.6696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4058 loss: 1.4058 2022/07/23 06:47:27 - mmengine - INFO - Epoch(train) [64][1480/3757] lr: 1.0000e-03 eta: 8:56:45 time: 0.2456 data_time: 0.0249 memory: 6108 grad_norm: 7.6900 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3717 loss: 1.3717 2022/07/23 06:47:31 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 1.0000e-03 eta: 8:56:40 time: 0.2256 data_time: 0.0238 memory: 6108 grad_norm: 7.7159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2680 loss: 1.2680 2022/07/23 06:47:36 - mmengine - INFO - Epoch(train) [64][1520/3757] lr: 1.0000e-03 eta: 8:56:35 time: 0.2322 data_time: 0.0178 memory: 6108 grad_norm: 7.4626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/07/23 06:47:41 - mmengine - INFO - Epoch(train) [64][1540/3757] lr: 1.0000e-03 eta: 8:56:30 time: 0.2292 data_time: 0.0213 memory: 6108 grad_norm: 7.6244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3800 loss: 1.3800 2022/07/23 06:47:45 - mmengine - INFO - Epoch(train) [64][1560/3757] lr: 1.0000e-03 eta: 8:56:26 time: 0.2318 data_time: 0.0218 memory: 6108 grad_norm: 7.4927 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.1425 loss: 1.1425 2022/07/23 06:47:50 - mmengine - INFO - Epoch(train) [64][1580/3757] lr: 1.0000e-03 eta: 8:56:21 time: 0.2492 data_time: 0.0237 memory: 6108 grad_norm: 7.5325 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3932 loss: 1.3932 2022/07/23 06:47:55 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 1.0000e-03 eta: 8:56:17 time: 0.2498 data_time: 0.0190 memory: 6108 grad_norm: 7.6366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/23 06:48:00 - mmengine - INFO - Epoch(train) [64][1620/3757] lr: 1.0000e-03 eta: 8:56:12 time: 0.2377 data_time: 0.0213 memory: 6108 grad_norm: 7.8007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3841 loss: 1.3841 2022/07/23 06:48:05 - mmengine - INFO - Epoch(train) [64][1640/3757] lr: 1.0000e-03 eta: 8:56:07 time: 0.2274 data_time: 0.0208 memory: 6108 grad_norm: 7.6761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3817 loss: 1.3817 2022/07/23 06:48:09 - mmengine - INFO - Epoch(train) [64][1660/3757] lr: 1.0000e-03 eta: 8:56:02 time: 0.2293 data_time: 0.0306 memory: 6108 grad_norm: 7.6230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3132 loss: 1.3132 2022/07/23 06:48:14 - mmengine - INFO - Epoch(train) [64][1680/3757] lr: 1.0000e-03 eta: 8:55:58 time: 0.2396 data_time: 0.0276 memory: 6108 grad_norm: 7.4495 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2655 loss: 1.2655 2022/07/23 06:48:19 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 1.0000e-03 eta: 8:55:53 time: 0.2231 data_time: 0.0207 memory: 6108 grad_norm: 7.7323 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4432 loss: 1.4432 2022/07/23 06:48:23 - mmengine - INFO - Epoch(train) [64][1720/3757] lr: 1.0000e-03 eta: 8:55:48 time: 0.2302 data_time: 0.0281 memory: 6108 grad_norm: 7.7417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/07/23 06:48:28 - mmengine - INFO - Epoch(train) [64][1740/3757] lr: 1.0000e-03 eta: 8:55:43 time: 0.2261 data_time: 0.0213 memory: 6108 grad_norm: 7.3616 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/07/23 06:48:33 - mmengine - INFO - Epoch(train) [64][1760/3757] lr: 1.0000e-03 eta: 8:55:39 time: 0.2764 data_time: 0.0194 memory: 6108 grad_norm: 7.5731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/07/23 06:48:38 - mmengine - INFO - Epoch(train) [64][1780/3757] lr: 1.0000e-03 eta: 8:55:35 time: 0.2308 data_time: 0.0275 memory: 6108 grad_norm: 7.2955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/07/23 06:48:43 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 1.0000e-03 eta: 8:55:30 time: 0.2312 data_time: 0.0206 memory: 6108 grad_norm: 7.5661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5183 loss: 1.5183 2022/07/23 06:48:48 - mmengine - INFO - Epoch(train) [64][1820/3757] lr: 1.0000e-03 eta: 8:55:25 time: 0.2499 data_time: 0.0198 memory: 6108 grad_norm: 7.2975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2559 loss: 1.2559 2022/07/23 06:48:52 - mmengine - INFO - Epoch(train) [64][1840/3757] lr: 1.0000e-03 eta: 8:55:21 time: 0.2343 data_time: 0.0311 memory: 6108 grad_norm: 7.5237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1787 loss: 1.1787 2022/07/23 06:48:58 - mmengine - INFO - Epoch(train) [64][1860/3757] lr: 1.0000e-03 eta: 8:55:16 time: 0.2583 data_time: 0.0227 memory: 6108 grad_norm: 7.3137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1656 loss: 1.1656 2022/07/23 06:49:02 - mmengine - INFO - Epoch(train) [64][1880/3757] lr: 1.0000e-03 eta: 8:55:12 time: 0.2310 data_time: 0.0239 memory: 6108 grad_norm: 7.5979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2128 loss: 1.2128 2022/07/23 06:49:07 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 1.0000e-03 eta: 8:55:07 time: 0.2307 data_time: 0.0228 memory: 6108 grad_norm: 7.4781 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1800 loss: 1.1800 2022/07/23 06:49:11 - mmengine - INFO - Epoch(train) [64][1920/3757] lr: 1.0000e-03 eta: 8:55:02 time: 0.2312 data_time: 0.0245 memory: 6108 grad_norm: 7.5134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4077 loss: 1.4077 2022/07/23 06:49:16 - mmengine - INFO - Epoch(train) [64][1940/3757] lr: 1.0000e-03 eta: 8:54:57 time: 0.2402 data_time: 0.0270 memory: 6108 grad_norm: 7.9555 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3285 loss: 1.3285 2022/07/23 06:49:21 - mmengine - INFO - Epoch(train) [64][1960/3757] lr: 1.0000e-03 eta: 8:54:53 time: 0.2278 data_time: 0.0232 memory: 6108 grad_norm: 7.5464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4703 loss: 1.4703 2022/07/23 06:49:25 - mmengine - INFO - Epoch(train) [64][1980/3757] lr: 1.0000e-03 eta: 8:54:48 time: 0.2275 data_time: 0.0192 memory: 6108 grad_norm: 7.7157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/07/23 06:49:30 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 1.0000e-03 eta: 8:54:43 time: 0.2283 data_time: 0.0223 memory: 6108 grad_norm: 7.7305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1874 loss: 1.1874 2022/07/23 06:49:35 - mmengine - INFO - Epoch(train) [64][2020/3757] lr: 1.0000e-03 eta: 8:54:39 time: 0.2451 data_time: 0.0284 memory: 6108 grad_norm: 7.9872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/07/23 06:49:39 - mmengine - INFO - Epoch(train) [64][2040/3757] lr: 1.0000e-03 eta: 8:54:34 time: 0.2255 data_time: 0.0234 memory: 6108 grad_norm: 7.5736 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3397 loss: 1.3397 2022/07/23 06:49:44 - mmengine - INFO - Epoch(train) [64][2060/3757] lr: 1.0000e-03 eta: 8:54:29 time: 0.2295 data_time: 0.0201 memory: 6108 grad_norm: 7.3601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/07/23 06:49:49 - mmengine - INFO - Epoch(train) [64][2080/3757] lr: 1.0000e-03 eta: 8:54:25 time: 0.2411 data_time: 0.0280 memory: 6108 grad_norm: 7.6079 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/07/23 06:49:54 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 1.0000e-03 eta: 8:54:20 time: 0.2300 data_time: 0.0193 memory: 6108 grad_norm: 7.8809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6197 loss: 1.6197 2022/07/23 06:49:58 - mmengine - INFO - Epoch(train) [64][2120/3757] lr: 1.0000e-03 eta: 8:54:15 time: 0.2428 data_time: 0.0263 memory: 6108 grad_norm: 7.2430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1853 loss: 1.1853 2022/07/23 06:50:03 - mmengine - INFO - Epoch(train) [64][2140/3757] lr: 1.0000e-03 eta: 8:54:10 time: 0.2313 data_time: 0.0228 memory: 6108 grad_norm: 7.6783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3234 loss: 1.3234 2022/07/23 06:50:08 - mmengine - INFO - Epoch(train) [64][2160/3757] lr: 1.0000e-03 eta: 8:54:06 time: 0.2324 data_time: 0.0197 memory: 6108 grad_norm: 7.7830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4076 loss: 1.4076 2022/07/23 06:50:12 - mmengine - INFO - Epoch(train) [64][2180/3757] lr: 1.0000e-03 eta: 8:54:01 time: 0.2286 data_time: 0.0230 memory: 6108 grad_norm: 7.7891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2257 loss: 1.2257 2022/07/23 06:50:17 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 1.0000e-03 eta: 8:53:56 time: 0.2326 data_time: 0.0230 memory: 6108 grad_norm: 7.7105 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4959 loss: 1.4959 2022/07/23 06:50:22 - mmengine - INFO - Epoch(train) [64][2220/3757] lr: 1.0000e-03 eta: 8:53:52 time: 0.2561 data_time: 0.0594 memory: 6108 grad_norm: 7.6646 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5130 loss: 1.5130 2022/07/23 06:50:27 - mmengine - INFO - Epoch(train) [64][2240/3757] lr: 1.0000e-03 eta: 8:53:47 time: 0.2271 data_time: 0.0203 memory: 6108 grad_norm: 7.8014 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4174 loss: 1.4174 2022/07/23 06:50:31 - mmengine - INFO - Epoch(train) [64][2260/3757] lr: 1.0000e-03 eta: 8:53:42 time: 0.2295 data_time: 0.0257 memory: 6108 grad_norm: 7.4063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5149 loss: 1.5149 2022/07/23 06:50:36 - mmengine - INFO - Epoch(train) [64][2280/3757] lr: 1.0000e-03 eta: 8:53:38 time: 0.2446 data_time: 0.0209 memory: 6108 grad_norm: 7.8141 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2190 loss: 1.2190 2022/07/23 06:50:41 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 1.0000e-03 eta: 8:53:33 time: 0.2241 data_time: 0.0201 memory: 6108 grad_norm: 7.6128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3779 loss: 1.3779 2022/07/23 06:50:43 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:50:45 - mmengine - INFO - Epoch(train) [64][2320/3757] lr: 1.0000e-03 eta: 8:53:28 time: 0.2324 data_time: 0.0216 memory: 6108 grad_norm: 7.6343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2819 loss: 1.2819 2022/07/23 06:50:50 - mmengine - INFO - Epoch(train) [64][2340/3757] lr: 1.0000e-03 eta: 8:53:24 time: 0.2252 data_time: 0.0192 memory: 6108 grad_norm: 7.9342 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4714 loss: 1.4714 2022/07/23 06:50:55 - mmengine - INFO - Epoch(train) [64][2360/3757] lr: 1.0000e-03 eta: 8:53:19 time: 0.2503 data_time: 0.0207 memory: 6108 grad_norm: 7.3553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2157 loss: 1.2157 2022/07/23 06:51:00 - mmengine - INFO - Epoch(train) [64][2380/3757] lr: 1.0000e-03 eta: 8:53:14 time: 0.2249 data_time: 0.0257 memory: 6108 grad_norm: 7.5277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/07/23 06:51:04 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 1.0000e-03 eta: 8:53:09 time: 0.2254 data_time: 0.0201 memory: 6108 grad_norm: 7.8560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5551 loss: 1.5551 2022/07/23 06:51:09 - mmengine - INFO - Epoch(train) [64][2420/3757] lr: 1.0000e-03 eta: 8:53:05 time: 0.2420 data_time: 0.0298 memory: 6108 grad_norm: 7.4438 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3072 loss: 1.3072 2022/07/23 06:51:14 - mmengine - INFO - Epoch(train) [64][2440/3757] lr: 1.0000e-03 eta: 8:53:00 time: 0.2302 data_time: 0.0234 memory: 6108 grad_norm: 7.8497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/07/23 06:51:19 - mmengine - INFO - Epoch(train) [64][2460/3757] lr: 1.0000e-03 eta: 8:52:56 time: 0.2538 data_time: 0.0197 memory: 6108 grad_norm: 7.5698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4715 loss: 1.4715 2022/07/23 06:51:23 - mmengine - INFO - Epoch(train) [64][2480/3757] lr: 1.0000e-03 eta: 8:52:51 time: 0.2239 data_time: 0.0229 memory: 6108 grad_norm: 7.7796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1550 loss: 1.1550 2022/07/23 06:51:28 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 1.0000e-03 eta: 8:52:46 time: 0.2308 data_time: 0.0244 memory: 6108 grad_norm: 7.7727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/07/23 06:51:32 - mmengine - INFO - Epoch(train) [64][2520/3757] lr: 1.0000e-03 eta: 8:52:41 time: 0.2339 data_time: 0.0249 memory: 6108 grad_norm: 7.8038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6684 loss: 1.6684 2022/07/23 06:51:37 - mmengine - INFO - Epoch(train) [64][2540/3757] lr: 1.0000e-03 eta: 8:52:37 time: 0.2486 data_time: 0.0345 memory: 6108 grad_norm: 7.5592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/07/23 06:51:42 - mmengine - INFO - Epoch(train) [64][2560/3757] lr: 1.0000e-03 eta: 8:52:32 time: 0.2237 data_time: 0.0211 memory: 6108 grad_norm: 7.6806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/07/23 06:51:47 - mmengine - INFO - Epoch(train) [64][2580/3757] lr: 1.0000e-03 eta: 8:52:27 time: 0.2336 data_time: 0.0227 memory: 6108 grad_norm: 7.8397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/07/23 06:51:51 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 1.0000e-03 eta: 8:52:23 time: 0.2325 data_time: 0.0215 memory: 6108 grad_norm: 7.5837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1915 loss: 1.1915 2022/07/23 06:51:56 - mmengine - INFO - Epoch(train) [64][2620/3757] lr: 1.0000e-03 eta: 8:52:18 time: 0.2475 data_time: 0.0240 memory: 6108 grad_norm: 7.6752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4362 loss: 1.4362 2022/07/23 06:52:01 - mmengine - INFO - Epoch(train) [64][2640/3757] lr: 1.0000e-03 eta: 8:52:13 time: 0.2262 data_time: 0.0218 memory: 6108 grad_norm: 7.6220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/07/23 06:52:05 - mmengine - INFO - Epoch(train) [64][2660/3757] lr: 1.0000e-03 eta: 8:52:09 time: 0.2246 data_time: 0.0208 memory: 6108 grad_norm: 7.8154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5137 loss: 1.5137 2022/07/23 06:52:10 - mmengine - INFO - Epoch(train) [64][2680/3757] lr: 1.0000e-03 eta: 8:52:04 time: 0.2301 data_time: 0.0257 memory: 6108 grad_norm: 7.5669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4451 loss: 1.4451 2022/07/23 06:52:15 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 1.0000e-03 eta: 8:52:00 time: 0.2603 data_time: 0.0260 memory: 6108 grad_norm: 7.7953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/07/23 06:52:20 - mmengine - INFO - Epoch(train) [64][2720/3757] lr: 1.0000e-03 eta: 8:51:55 time: 0.2258 data_time: 0.0255 memory: 6108 grad_norm: 7.7019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4906 loss: 1.4906 2022/07/23 06:52:24 - mmengine - INFO - Epoch(train) [64][2740/3757] lr: 1.0000e-03 eta: 8:51:50 time: 0.2295 data_time: 0.0211 memory: 6108 grad_norm: 7.7385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4065 loss: 1.4065 2022/07/23 06:52:29 - mmengine - INFO - Epoch(train) [64][2760/3757] lr: 1.0000e-03 eta: 8:51:45 time: 0.2256 data_time: 0.0255 memory: 6108 grad_norm: 7.5308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2562 loss: 1.2562 2022/07/23 06:52:34 - mmengine - INFO - Epoch(train) [64][2780/3757] lr: 1.0000e-03 eta: 8:51:41 time: 0.2368 data_time: 0.0363 memory: 6108 grad_norm: 7.8584 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/07/23 06:52:39 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 1.0000e-03 eta: 8:51:36 time: 0.2518 data_time: 0.0198 memory: 6108 grad_norm: 7.5647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4531 loss: 1.4531 2022/07/23 06:52:43 - mmengine - INFO - Epoch(train) [64][2820/3757] lr: 1.0000e-03 eta: 8:51:31 time: 0.2221 data_time: 0.0235 memory: 6108 grad_norm: 7.7968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/07/23 06:52:48 - mmengine - INFO - Epoch(train) [64][2840/3757] lr: 1.0000e-03 eta: 8:51:27 time: 0.2319 data_time: 0.0295 memory: 6108 grad_norm: 7.7162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5092 loss: 1.5092 2022/07/23 06:52:53 - mmengine - INFO - Epoch(train) [64][2860/3757] lr: 1.0000e-03 eta: 8:51:22 time: 0.2324 data_time: 0.0305 memory: 6108 grad_norm: 7.4847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/07/23 06:52:57 - mmengine - INFO - Epoch(train) [64][2880/3757] lr: 1.0000e-03 eta: 8:51:17 time: 0.2353 data_time: 0.0182 memory: 6108 grad_norm: 7.6246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4819 loss: 1.4819 2022/07/23 06:53:02 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 1.0000e-03 eta: 8:51:12 time: 0.2301 data_time: 0.0246 memory: 6108 grad_norm: 7.5403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3759 loss: 1.3759 2022/07/23 06:53:07 - mmengine - INFO - Epoch(train) [64][2920/3757] lr: 1.0000e-03 eta: 8:51:08 time: 0.2527 data_time: 0.0246 memory: 6108 grad_norm: 7.8846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2914 loss: 1.2914 2022/07/23 06:53:11 - mmengine - INFO - Epoch(train) [64][2940/3757] lr: 1.0000e-03 eta: 8:51:03 time: 0.2243 data_time: 0.0215 memory: 6108 grad_norm: 7.7199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/07/23 06:53:22 - mmengine - INFO - Epoch(train) [64][2960/3757] lr: 1.0000e-03 eta: 8:51:02 time: 0.5060 data_time: 0.3053 memory: 6108 grad_norm: 7.7901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/07/23 06:53:26 - mmengine - INFO - Epoch(train) [64][2980/3757] lr: 1.0000e-03 eta: 8:50:57 time: 0.2268 data_time: 0.0202 memory: 6108 grad_norm: 7.7936 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5345 loss: 1.5345 2022/07/23 06:53:31 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 1.0000e-03 eta: 8:50:52 time: 0.2484 data_time: 0.0241 memory: 6108 grad_norm: 7.6745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1856 loss: 1.1856 2022/07/23 06:53:36 - mmengine - INFO - Epoch(train) [64][3020/3757] lr: 1.0000e-03 eta: 8:50:48 time: 0.2470 data_time: 0.0182 memory: 6108 grad_norm: 7.6654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4134 loss: 1.4134 2022/07/23 06:53:41 - mmengine - INFO - Epoch(train) [64][3040/3757] lr: 1.0000e-03 eta: 8:50:43 time: 0.2306 data_time: 0.0292 memory: 6108 grad_norm: 7.6782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4892 loss: 1.4892 2022/07/23 06:53:45 - mmengine - INFO - Epoch(train) [64][3060/3757] lr: 1.0000e-03 eta: 8:50:38 time: 0.2241 data_time: 0.0249 memory: 6108 grad_norm: 7.5087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2179 loss: 1.2179 2022/07/23 06:53:50 - mmengine - INFO - Epoch(train) [64][3080/3757] lr: 1.0000e-03 eta: 8:50:34 time: 0.2547 data_time: 0.0258 memory: 6108 grad_norm: 7.5637 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2586 loss: 1.2586 2022/07/23 06:53:55 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 1.0000e-03 eta: 8:50:29 time: 0.2355 data_time: 0.0218 memory: 6108 grad_norm: 7.9715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2658 loss: 1.2658 2022/07/23 06:54:00 - mmengine - INFO - Epoch(train) [64][3120/3757] lr: 1.0000e-03 eta: 8:50:25 time: 0.2398 data_time: 0.0179 memory: 6108 grad_norm: 7.7183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4158 loss: 1.4158 2022/07/23 06:54:04 - mmengine - INFO - Epoch(train) [64][3140/3757] lr: 1.0000e-03 eta: 8:50:20 time: 0.2263 data_time: 0.0283 memory: 6108 grad_norm: 7.6374 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/07/23 06:54:09 - mmengine - INFO - Epoch(train) [64][3160/3757] lr: 1.0000e-03 eta: 8:50:15 time: 0.2352 data_time: 0.0263 memory: 6108 grad_norm: 7.7328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4026 loss: 1.4026 2022/07/23 06:54:14 - mmengine - INFO - Epoch(train) [64][3180/3757] lr: 1.0000e-03 eta: 8:50:10 time: 0.2277 data_time: 0.0179 memory: 6108 grad_norm: 7.4091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3521 loss: 1.3521 2022/07/23 06:54:19 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 1.0000e-03 eta: 8:50:06 time: 0.2362 data_time: 0.0239 memory: 6108 grad_norm: 7.6920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/07/23 06:54:23 - mmengine - INFO - Epoch(train) [64][3220/3757] lr: 1.0000e-03 eta: 8:50:01 time: 0.2269 data_time: 0.0251 memory: 6108 grad_norm: 7.5766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/23 06:54:28 - mmengine - INFO - Epoch(train) [64][3240/3757] lr: 1.0000e-03 eta: 8:49:56 time: 0.2243 data_time: 0.0193 memory: 6108 grad_norm: 7.7045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5521 loss: 1.5521 2022/07/23 06:54:32 - mmengine - INFO - Epoch(train) [64][3260/3757] lr: 1.0000e-03 eta: 8:49:51 time: 0.2318 data_time: 0.0207 memory: 6108 grad_norm: 7.4940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2165 loss: 1.2165 2022/07/23 06:54:37 - mmengine - INFO - Epoch(train) [64][3280/3757] lr: 1.0000e-03 eta: 8:49:47 time: 0.2567 data_time: 0.0218 memory: 6108 grad_norm: 7.3865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/07/23 06:54:42 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 1.0000e-03 eta: 8:49:42 time: 0.2240 data_time: 0.0222 memory: 6108 grad_norm: 7.6452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3583 loss: 1.3583 2022/07/23 06:54:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:54:47 - mmengine - INFO - Epoch(train) [64][3320/3757] lr: 1.0000e-03 eta: 8:49:38 time: 0.2511 data_time: 0.0237 memory: 6108 grad_norm: 7.6803 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3792 loss: 1.3792 2022/07/23 06:54:52 - mmengine - INFO - Epoch(train) [64][3340/3757] lr: 1.0000e-03 eta: 8:49:33 time: 0.2308 data_time: 0.0300 memory: 6108 grad_norm: 7.4153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2650 loss: 1.2650 2022/07/23 06:54:56 - mmengine - INFO - Epoch(train) [64][3360/3757] lr: 1.0000e-03 eta: 8:49:28 time: 0.2414 data_time: 0.0196 memory: 6108 grad_norm: 7.5094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/07/23 06:55:01 - mmengine - INFO - Epoch(train) [64][3380/3757] lr: 1.0000e-03 eta: 8:49:24 time: 0.2232 data_time: 0.0225 memory: 6108 grad_norm: 7.2521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3039 loss: 1.3039 2022/07/23 06:55:06 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 1.0000e-03 eta: 8:49:19 time: 0.2392 data_time: 0.0233 memory: 6108 grad_norm: 7.4377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2866 loss: 1.2866 2022/07/23 06:55:10 - mmengine - INFO - Epoch(train) [64][3420/3757] lr: 1.0000e-03 eta: 8:49:14 time: 0.2299 data_time: 0.0196 memory: 6108 grad_norm: 7.6668 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4451 loss: 1.4451 2022/07/23 06:55:15 - mmengine - INFO - Epoch(train) [64][3440/3757] lr: 1.0000e-03 eta: 8:49:10 time: 0.2419 data_time: 0.0248 memory: 6108 grad_norm: 7.7874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4640 loss: 1.4640 2022/07/23 06:55:20 - mmengine - INFO - Epoch(train) [64][3460/3757] lr: 1.0000e-03 eta: 8:49:05 time: 0.2370 data_time: 0.0296 memory: 6108 grad_norm: 7.6650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/07/23 06:55:25 - mmengine - INFO - Epoch(train) [64][3480/3757] lr: 1.0000e-03 eta: 8:49:00 time: 0.2523 data_time: 0.0198 memory: 6108 grad_norm: 7.5212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4368 loss: 1.4368 2022/07/23 06:55:30 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 1.0000e-03 eta: 8:48:56 time: 0.2265 data_time: 0.0237 memory: 6108 grad_norm: 7.8546 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2965 loss: 1.2965 2022/07/23 06:55:34 - mmengine - INFO - Epoch(train) [64][3520/3757] lr: 1.0000e-03 eta: 8:48:51 time: 0.2312 data_time: 0.0301 memory: 6108 grad_norm: 7.7833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/07/23 06:55:39 - mmengine - INFO - Epoch(train) [64][3540/3757] lr: 1.0000e-03 eta: 8:48:46 time: 0.2320 data_time: 0.0226 memory: 6108 grad_norm: 7.4860 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2223 loss: 1.2223 2022/07/23 06:55:43 - mmengine - INFO - Epoch(train) [64][3560/3757] lr: 1.0000e-03 eta: 8:48:41 time: 0.2239 data_time: 0.0211 memory: 6108 grad_norm: 7.6116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3192 loss: 1.3192 2022/07/23 06:55:49 - mmengine - INFO - Epoch(train) [64][3580/3757] lr: 1.0000e-03 eta: 8:48:37 time: 0.2597 data_time: 0.0262 memory: 6108 grad_norm: 7.8814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3911 loss: 1.3911 2022/07/23 06:55:53 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 1.0000e-03 eta: 8:48:32 time: 0.2221 data_time: 0.0229 memory: 6108 grad_norm: 7.6326 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3518 loss: 1.3518 2022/07/23 06:55:58 - mmengine - INFO - Epoch(train) [64][3620/3757] lr: 1.0000e-03 eta: 8:48:28 time: 0.2554 data_time: 0.0220 memory: 6108 grad_norm: 7.5989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/07/23 06:56:03 - mmengine - INFO - Epoch(train) [64][3640/3757] lr: 1.0000e-03 eta: 8:48:23 time: 0.2363 data_time: 0.0261 memory: 6108 grad_norm: 7.5954 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3631 loss: 1.3631 2022/07/23 06:56:08 - mmengine - INFO - Epoch(train) [64][3660/3757] lr: 1.0000e-03 eta: 8:48:19 time: 0.2444 data_time: 0.0308 memory: 6108 grad_norm: 7.7877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1799 loss: 1.1799 2022/07/23 06:56:13 - mmengine - INFO - Epoch(train) [64][3680/3757] lr: 1.0000e-03 eta: 8:48:14 time: 0.2314 data_time: 0.0257 memory: 6108 grad_norm: 7.5615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4509 loss: 1.4509 2022/07/23 06:56:17 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 1.0000e-03 eta: 8:48:09 time: 0.2352 data_time: 0.0234 memory: 6108 grad_norm: 7.6219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2156 loss: 1.2156 2022/07/23 06:56:22 - mmengine - INFO - Epoch(train) [64][3720/3757] lr: 1.0000e-03 eta: 8:48:04 time: 0.2249 data_time: 0.0212 memory: 6108 grad_norm: 7.6926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1608 loss: 1.1608 2022/07/23 06:56:27 - mmengine - INFO - Epoch(train) [64][3740/3757] lr: 1.0000e-03 eta: 8:48:00 time: 0.2410 data_time: 0.0224 memory: 6108 grad_norm: 7.7178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4062 loss: 1.4062 2022/07/23 06:56:31 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:56:31 - mmengine - INFO - Epoch(train) [64][3757/3757] lr: 1.0000e-03 eta: 8:48:00 time: 0.2378 data_time: 0.0629 memory: 6108 grad_norm: 7.6356 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4873 loss: 1.4873 2022/07/23 06:56:36 - mmengine - INFO - Epoch(val) [64][20/310] eta: 0:01:21 time: 0.2808 data_time: 0.1991 memory: 1428 2022/07/23 06:56:40 - mmengine - INFO - Epoch(val) [64][40/310] eta: 0:00:49 time: 0.1827 data_time: 0.1049 memory: 1428 2022/07/23 06:56:45 - mmengine - INFO - Epoch(val) [64][60/310] eta: 0:01:03 time: 0.2523 data_time: 0.1753 memory: 1428 2022/07/23 06:56:49 - mmengine - INFO - Epoch(val) [64][80/310] eta: 0:00:43 time: 0.1884 data_time: 0.1120 memory: 1428 2022/07/23 06:56:54 - mmengine - INFO - Epoch(val) [64][100/310] eta: 0:00:49 time: 0.2337 data_time: 0.1595 memory: 1428 2022/07/23 06:56:57 - mmengine - INFO - Epoch(val) [64][120/310] eta: 0:00:34 time: 0.1840 data_time: 0.1081 memory: 1428 2022/07/23 06:57:03 - mmengine - INFO - Epoch(val) [64][140/310] eta: 0:00:47 time: 0.2789 data_time: 0.2034 memory: 1428 2022/07/23 06:57:07 - mmengine - INFO - Epoch(val) [64][160/310] eta: 0:00:29 time: 0.1976 data_time: 0.1064 memory: 1428 2022/07/23 06:57:12 - mmengine - INFO - Epoch(val) [64][180/310] eta: 0:00:30 time: 0.2381 data_time: 0.1629 memory: 1428 2022/07/23 06:57:15 - mmengine - INFO - Epoch(val) [64][200/310] eta: 0:00:20 time: 0.1885 data_time: 0.1111 memory: 1428 2022/07/23 06:57:19 - mmengine - INFO - Epoch(val) [64][220/310] eta: 0:00:18 time: 0.2049 data_time: 0.1296 memory: 1428 2022/07/23 06:57:23 - mmengine - INFO - Epoch(val) [64][240/310] eta: 0:00:13 time: 0.1907 data_time: 0.1162 memory: 1428 2022/07/23 06:57:28 - mmengine - INFO - Epoch(val) [64][260/310] eta: 0:00:12 time: 0.2410 data_time: 0.1474 memory: 1428 2022/07/23 06:57:32 - mmengine - INFO - Epoch(val) [64][280/310] eta: 0:00:06 time: 0.2026 data_time: 0.1261 memory: 1428 2022/07/23 06:57:36 - mmengine - INFO - Epoch(val) [64][300/310] eta: 0:00:01 time: 0.1895 data_time: 0.1181 memory: 1428 2022/07/23 06:57:40 - mmengine - INFO - Epoch(val) [64][310/310] acc/top1: 0.6494 acc/top5: 0.8584 acc/mean1: 0.6493 2022/07/23 06:57:46 - mmengine - INFO - Epoch(train) [65][20/3757] lr: 1.0000e-03 eta: 8:47:50 time: 0.3286 data_time: 0.1012 memory: 6108 grad_norm: 7.5140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/07/23 06:57:51 - mmengine - INFO - Epoch(train) [65][40/3757] lr: 1.0000e-03 eta: 8:47:45 time: 0.2292 data_time: 0.0232 memory: 6108 grad_norm: 7.3672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1538 loss: 1.1538 2022/07/23 06:57:56 - mmengine - INFO - Epoch(train) [65][60/3757] lr: 1.0000e-03 eta: 8:47:41 time: 0.2504 data_time: 0.0262 memory: 6108 grad_norm: 7.6882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/07/23 06:58:00 - mmengine - INFO - Epoch(train) [65][80/3757] lr: 1.0000e-03 eta: 8:47:36 time: 0.2224 data_time: 0.0238 memory: 6108 grad_norm: 7.8550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1515 loss: 1.1515 2022/07/23 06:58:10 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 1.0000e-03 eta: 8:47:34 time: 0.4729 data_time: 0.0203 memory: 6108 grad_norm: 7.3548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/07/23 06:58:14 - mmengine - INFO - Epoch(train) [65][120/3757] lr: 1.0000e-03 eta: 8:47:29 time: 0.2232 data_time: 0.0222 memory: 6108 grad_norm: 7.9224 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3552 loss: 1.3552 2022/07/23 06:58:19 - mmengine - INFO - Epoch(train) [65][140/3757] lr: 1.0000e-03 eta: 8:47:24 time: 0.2377 data_time: 0.0225 memory: 6108 grad_norm: 7.6406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/07/23 06:58:24 - mmengine - INFO - Epoch(train) [65][160/3757] lr: 1.0000e-03 eta: 8:47:20 time: 0.2309 data_time: 0.0261 memory: 6108 grad_norm: 7.6729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/07/23 06:58:28 - mmengine - INFO - Epoch(train) [65][180/3757] lr: 1.0000e-03 eta: 8:47:15 time: 0.2267 data_time: 0.0243 memory: 6108 grad_norm: 7.4834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2500 loss: 1.2500 2022/07/23 06:58:33 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 1.0000e-03 eta: 8:47:10 time: 0.2326 data_time: 0.0238 memory: 6108 grad_norm: 7.2098 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/07/23 06:58:38 - mmengine - INFO - Epoch(train) [65][220/3757] lr: 1.0000e-03 eta: 8:47:06 time: 0.2409 data_time: 0.0230 memory: 6108 grad_norm: 7.6172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/07/23 06:58:42 - mmengine - INFO - Epoch(train) [65][240/3757] lr: 1.0000e-03 eta: 8:47:01 time: 0.2300 data_time: 0.0292 memory: 6108 grad_norm: 7.4160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/07/23 06:58:47 - mmengine - INFO - Epoch(train) [65][260/3757] lr: 1.0000e-03 eta: 8:46:56 time: 0.2377 data_time: 0.0289 memory: 6108 grad_norm: 7.5816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1354 loss: 1.1354 2022/07/23 06:58:52 - mmengine - INFO - Epoch(train) [65][280/3757] lr: 1.0000e-03 eta: 8:46:51 time: 0.2236 data_time: 0.0192 memory: 6108 grad_norm: 7.9344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2885 loss: 1.2885 2022/07/23 06:58:57 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 1.0000e-03 eta: 8:46:47 time: 0.2489 data_time: 0.0271 memory: 6108 grad_norm: 7.7043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3721 loss: 1.3721 2022/07/23 06:59:01 - mmengine - INFO - Epoch(train) [65][320/3757] lr: 1.0000e-03 eta: 8:46:42 time: 0.2263 data_time: 0.0265 memory: 6108 grad_norm: 7.9479 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2955 loss: 1.2955 2022/07/23 06:59:06 - mmengine - INFO - Epoch(train) [65][340/3757] lr: 1.0000e-03 eta: 8:46:38 time: 0.2425 data_time: 0.0243 memory: 6108 grad_norm: 8.0030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5559 loss: 1.5559 2022/07/23 06:59:11 - mmengine - INFO - Epoch(train) [65][360/3757] lr: 1.0000e-03 eta: 8:46:33 time: 0.2263 data_time: 0.0253 memory: 6108 grad_norm: 7.7442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/07/23 06:59:15 - mmengine - INFO - Epoch(train) [65][380/3757] lr: 1.0000e-03 eta: 8:46:28 time: 0.2370 data_time: 0.0196 memory: 6108 grad_norm: 7.5018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2126 loss: 1.2126 2022/07/23 06:59:20 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 1.0000e-03 eta: 8:46:23 time: 0.2286 data_time: 0.0252 memory: 6108 grad_norm: 7.8554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3620 loss: 1.3620 2022/07/23 06:59:25 - mmengine - INFO - Epoch(train) [65][420/3757] lr: 1.0000e-03 eta: 8:46:19 time: 0.2315 data_time: 0.0248 memory: 6108 grad_norm: 7.4303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3874 loss: 1.3874 2022/07/23 06:59:29 - mmengine - INFO - Epoch(train) [65][440/3757] lr: 1.0000e-03 eta: 8:46:14 time: 0.2305 data_time: 0.0274 memory: 6108 grad_norm: 7.9185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3129 loss: 1.3129 2022/07/23 06:59:34 - mmengine - INFO - Epoch(train) [65][460/3757] lr: 1.0000e-03 eta: 8:46:09 time: 0.2268 data_time: 0.0227 memory: 6108 grad_norm: 8.0268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4391 loss: 1.4391 2022/07/23 06:59:39 - mmengine - INFO - Epoch(train) [65][480/3757] lr: 1.0000e-03 eta: 8:46:05 time: 0.2414 data_time: 0.0234 memory: 6108 grad_norm: 7.6039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2206 loss: 1.2206 2022/07/23 06:59:43 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 1.0000e-03 eta: 8:46:00 time: 0.2233 data_time: 0.0236 memory: 6108 grad_norm: 7.7085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2977 loss: 1.2977 2022/07/23 06:59:48 - mmengine - INFO - Epoch(train) [65][520/3757] lr: 1.0000e-03 eta: 8:45:55 time: 0.2261 data_time: 0.0197 memory: 6108 grad_norm: 7.7700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/07/23 06:59:52 - mmengine - INFO - Epoch(train) [65][540/3757] lr: 1.0000e-03 eta: 8:45:50 time: 0.2266 data_time: 0.0203 memory: 6108 grad_norm: 7.8819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4895 loss: 1.4895 2022/07/23 06:59:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 06:59:57 - mmengine - INFO - Epoch(train) [65][560/3757] lr: 1.0000e-03 eta: 8:45:46 time: 0.2358 data_time: 0.0227 memory: 6108 grad_norm: 7.5763 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2839 loss: 1.2839 2022/07/23 07:00:02 - mmengine - INFO - Epoch(train) [65][580/3757] lr: 1.0000e-03 eta: 8:45:41 time: 0.2323 data_time: 0.0262 memory: 6108 grad_norm: 7.6844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2480 loss: 1.2480 2022/07/23 07:00:07 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 1.0000e-03 eta: 8:45:36 time: 0.2476 data_time: 0.0243 memory: 6108 grad_norm: 7.5921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/07/23 07:00:11 - mmengine - INFO - Epoch(train) [65][620/3757] lr: 1.0000e-03 eta: 8:45:32 time: 0.2265 data_time: 0.0204 memory: 6108 grad_norm: 7.9046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/07/23 07:00:16 - mmengine - INFO - Epoch(train) [65][640/3757] lr: 1.0000e-03 eta: 8:45:27 time: 0.2370 data_time: 0.0195 memory: 6108 grad_norm: 7.6372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4675 loss: 1.4675 2022/07/23 07:00:21 - mmengine - INFO - Epoch(train) [65][660/3757] lr: 1.0000e-03 eta: 8:45:22 time: 0.2268 data_time: 0.0244 memory: 6108 grad_norm: 7.6950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/07/23 07:00:27 - mmengine - INFO - Epoch(train) [65][680/3757] lr: 1.0000e-03 eta: 8:45:18 time: 0.3040 data_time: 0.0490 memory: 6108 grad_norm: 7.3509 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3541 loss: 1.3541 2022/07/23 07:00:31 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 1.0000e-03 eta: 8:45:13 time: 0.2161 data_time: 0.0188 memory: 6108 grad_norm: 7.7154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5236 loss: 1.5236 2022/07/23 07:00:36 - mmengine - INFO - Epoch(train) [65][720/3757] lr: 1.0000e-03 eta: 8:45:09 time: 0.2397 data_time: 0.0191 memory: 6108 grad_norm: 7.8238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4532 loss: 1.4532 2022/07/23 07:00:41 - mmengine - INFO - Epoch(train) [65][740/3757] lr: 1.0000e-03 eta: 8:45:04 time: 0.2337 data_time: 0.0354 memory: 6108 grad_norm: 7.5649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5005 loss: 1.5005 2022/07/23 07:00:45 - mmengine - INFO - Epoch(train) [65][760/3757] lr: 1.0000e-03 eta: 8:44:59 time: 0.2335 data_time: 0.0245 memory: 6108 grad_norm: 7.6614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1482 loss: 1.1482 2022/07/23 07:00:50 - mmengine - INFO - Epoch(train) [65][780/3757] lr: 1.0000e-03 eta: 8:44:55 time: 0.2314 data_time: 0.0230 memory: 6108 grad_norm: 7.7790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8390 loss: 1.8390 2022/07/23 07:00:54 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 1.0000e-03 eta: 8:44:50 time: 0.2250 data_time: 0.0194 memory: 6108 grad_norm: 7.6295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1960 loss: 1.1960 2022/07/23 07:00:59 - mmengine - INFO - Epoch(train) [65][820/3757] lr: 1.0000e-03 eta: 8:44:45 time: 0.2435 data_time: 0.0294 memory: 6108 grad_norm: 7.8183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7376 loss: 1.7376 2022/07/23 07:01:04 - mmengine - INFO - Epoch(train) [65][840/3757] lr: 1.0000e-03 eta: 8:44:40 time: 0.2273 data_time: 0.0183 memory: 6108 grad_norm: 7.6274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/07/23 07:01:09 - mmengine - INFO - Epoch(train) [65][860/3757] lr: 1.0000e-03 eta: 8:44:36 time: 0.2457 data_time: 0.0420 memory: 6108 grad_norm: 7.4900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/07/23 07:01:13 - mmengine - INFO - Epoch(train) [65][880/3757] lr: 1.0000e-03 eta: 8:44:31 time: 0.2268 data_time: 0.0236 memory: 6108 grad_norm: 7.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4609 loss: 1.4609 2022/07/23 07:01:18 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 1.0000e-03 eta: 8:44:27 time: 0.2399 data_time: 0.0219 memory: 6108 grad_norm: 7.7679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4501 loss: 1.4501 2022/07/23 07:01:23 - mmengine - INFO - Epoch(train) [65][920/3757] lr: 1.0000e-03 eta: 8:44:22 time: 0.2335 data_time: 0.0273 memory: 6108 grad_norm: 7.6309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2007 loss: 1.2007 2022/07/23 07:01:28 - mmengine - INFO - Epoch(train) [65][940/3757] lr: 1.0000e-03 eta: 8:44:17 time: 0.2429 data_time: 0.0430 memory: 6108 grad_norm: 7.4593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3474 loss: 1.3474 2022/07/23 07:01:33 - mmengine - INFO - Epoch(train) [65][960/3757] lr: 1.0000e-03 eta: 8:44:13 time: 0.2368 data_time: 0.0318 memory: 6108 grad_norm: 7.7263 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3655 loss: 1.3655 2022/07/23 07:01:37 - mmengine - INFO - Epoch(train) [65][980/3757] lr: 1.0000e-03 eta: 8:44:08 time: 0.2376 data_time: 0.0234 memory: 6108 grad_norm: 7.4953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4406 loss: 1.4406 2022/07/23 07:01:42 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 1.0000e-03 eta: 8:44:03 time: 0.2269 data_time: 0.0225 memory: 6108 grad_norm: 7.5395 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2040 loss: 1.2040 2022/07/23 07:01:46 - mmengine - INFO - Epoch(train) [65][1020/3757] lr: 1.0000e-03 eta: 8:43:58 time: 0.2256 data_time: 0.0204 memory: 6108 grad_norm: 7.7225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/07/23 07:01:51 - mmengine - INFO - Epoch(train) [65][1040/3757] lr: 1.0000e-03 eta: 8:43:54 time: 0.2376 data_time: 0.0223 memory: 6108 grad_norm: 7.9064 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3555 loss: 1.3555 2022/07/23 07:01:56 - mmengine - INFO - Epoch(train) [65][1060/3757] lr: 1.0000e-03 eta: 8:43:49 time: 0.2439 data_time: 0.0239 memory: 6108 grad_norm: 7.5646 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2040 loss: 1.2040 2022/07/23 07:02:01 - mmengine - INFO - Epoch(train) [65][1080/3757] lr: 1.0000e-03 eta: 8:43:45 time: 0.2343 data_time: 0.0209 memory: 6108 grad_norm: 7.4339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6055 loss: 1.6055 2022/07/23 07:02:05 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 1.0000e-03 eta: 8:43:40 time: 0.2304 data_time: 0.0237 memory: 6108 grad_norm: 7.6137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/07/23 07:02:10 - mmengine - INFO - Epoch(train) [65][1120/3757] lr: 1.0000e-03 eta: 8:43:35 time: 0.2285 data_time: 0.0212 memory: 6108 grad_norm: 7.6959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4092 loss: 1.4092 2022/07/23 07:02:15 - mmengine - INFO - Epoch(train) [65][1140/3757] lr: 1.0000e-03 eta: 8:43:30 time: 0.2289 data_time: 0.0236 memory: 6108 grad_norm: 7.8516 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3049 loss: 1.3049 2022/07/23 07:02:20 - mmengine - INFO - Epoch(train) [65][1160/3757] lr: 1.0000e-03 eta: 8:43:26 time: 0.2490 data_time: 0.0211 memory: 6108 grad_norm: 7.7977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1854 loss: 1.1854 2022/07/23 07:02:24 - mmengine - INFO - Epoch(train) [65][1180/3757] lr: 1.0000e-03 eta: 8:43:21 time: 0.2289 data_time: 0.0220 memory: 6108 grad_norm: 7.9165 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4490 loss: 1.4490 2022/07/23 07:02:30 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 1.0000e-03 eta: 8:43:17 time: 0.2645 data_time: 0.0241 memory: 6108 grad_norm: 7.6236 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/07/23 07:02:34 - mmengine - INFO - Epoch(train) [65][1220/3757] lr: 1.0000e-03 eta: 8:43:12 time: 0.2184 data_time: 0.0186 memory: 6108 grad_norm: 7.7122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2657 loss: 1.2657 2022/07/23 07:02:39 - mmengine - INFO - Epoch(train) [65][1240/3757] lr: 1.0000e-03 eta: 8:43:07 time: 0.2428 data_time: 0.0226 memory: 6108 grad_norm: 7.3025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1930 loss: 1.1930 2022/07/23 07:02:44 - mmengine - INFO - Epoch(train) [65][1260/3757] lr: 1.0000e-03 eta: 8:43:03 time: 0.2322 data_time: 0.0312 memory: 6108 grad_norm: 7.7922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2562 loss: 1.2562 2022/07/23 07:02:48 - mmengine - INFO - Epoch(train) [65][1280/3757] lr: 1.0000e-03 eta: 8:42:58 time: 0.2355 data_time: 0.0273 memory: 6108 grad_norm: 8.0146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1535 loss: 1.1535 2022/07/23 07:02:53 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 1.0000e-03 eta: 8:42:53 time: 0.2376 data_time: 0.0264 memory: 6108 grad_norm: 7.6837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/07/23 07:02:58 - mmengine - INFO - Epoch(train) [65][1320/3757] lr: 1.0000e-03 eta: 8:42:49 time: 0.2421 data_time: 0.0208 memory: 6108 grad_norm: 7.7555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2769 loss: 1.2769 2022/07/23 07:03:03 - mmengine - INFO - Epoch(train) [65][1340/3757] lr: 1.0000e-03 eta: 8:42:44 time: 0.2554 data_time: 0.0246 memory: 6108 grad_norm: 7.6440 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3287 loss: 1.3287 2022/07/23 07:03:08 - mmengine - INFO - Epoch(train) [65][1360/3757] lr: 1.0000e-03 eta: 8:42:39 time: 0.2292 data_time: 0.0243 memory: 6108 grad_norm: 8.0028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5585 loss: 1.5585 2022/07/23 07:03:12 - mmengine - INFO - Epoch(train) [65][1380/3757] lr: 1.0000e-03 eta: 8:42:35 time: 0.2284 data_time: 0.0236 memory: 6108 grad_norm: 7.7099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/07/23 07:03:17 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 1.0000e-03 eta: 8:42:30 time: 0.2518 data_time: 0.0230 memory: 6108 grad_norm: 7.8522 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4252 loss: 1.4252 2022/07/23 07:03:22 - mmengine - INFO - Epoch(train) [65][1420/3757] lr: 1.0000e-03 eta: 8:42:25 time: 0.2296 data_time: 0.0287 memory: 6108 grad_norm: 7.7048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3800 loss: 1.3800 2022/07/23 07:03:27 - mmengine - INFO - Epoch(train) [65][1440/3757] lr: 1.0000e-03 eta: 8:42:21 time: 0.2343 data_time: 0.0240 memory: 6108 grad_norm: 7.9872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4998 loss: 1.4998 2022/07/23 07:03:31 - mmengine - INFO - Epoch(train) [65][1460/3757] lr: 1.0000e-03 eta: 8:42:16 time: 0.2270 data_time: 0.0233 memory: 6108 grad_norm: 7.6859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5835 loss: 1.5835 2022/07/23 07:03:36 - mmengine - INFO - Epoch(train) [65][1480/3757] lr: 1.0000e-03 eta: 8:42:11 time: 0.2465 data_time: 0.0255 memory: 6108 grad_norm: 7.6884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4048 loss: 1.4048 2022/07/23 07:03:41 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 1.0000e-03 eta: 8:42:07 time: 0.2245 data_time: 0.0212 memory: 6108 grad_norm: 7.7719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/07/23 07:03:45 - mmengine - INFO - Epoch(train) [65][1520/3757] lr: 1.0000e-03 eta: 8:42:02 time: 0.2288 data_time: 0.0281 memory: 6108 grad_norm: 7.7855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3099 loss: 1.3099 2022/07/23 07:03:50 - mmengine - INFO - Epoch(train) [65][1540/3757] lr: 1.0000e-03 eta: 8:41:57 time: 0.2370 data_time: 0.0275 memory: 6108 grad_norm: 7.4608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1565 loss: 1.1565 2022/07/23 07:03:58 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:03:59 - mmengine - INFO - Epoch(train) [65][1560/3757] lr: 1.0000e-03 eta: 8:41:55 time: 0.4692 data_time: 0.0191 memory: 6108 grad_norm: 7.9089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4554 loss: 1.4554 2022/07/23 07:04:04 - mmengine - INFO - Epoch(train) [65][1580/3757] lr: 1.0000e-03 eta: 8:41:50 time: 0.2267 data_time: 0.0275 memory: 6108 grad_norm: 7.6574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2520 loss: 1.2520 2022/07/23 07:04:09 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 1.0000e-03 eta: 8:41:46 time: 0.2292 data_time: 0.0221 memory: 6108 grad_norm: 7.8798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3456 loss: 1.3456 2022/07/23 07:04:13 - mmengine - INFO - Epoch(train) [65][1620/3757] lr: 1.0000e-03 eta: 8:41:41 time: 0.2346 data_time: 0.0266 memory: 6108 grad_norm: 7.5578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3966 loss: 1.3966 2022/07/23 07:04:18 - mmengine - INFO - Epoch(train) [65][1640/3757] lr: 1.0000e-03 eta: 8:41:36 time: 0.2387 data_time: 0.0248 memory: 6108 grad_norm: 7.5936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0941 loss: 1.0941 2022/07/23 07:04:23 - mmengine - INFO - Epoch(train) [65][1660/3757] lr: 1.0000e-03 eta: 8:41:32 time: 0.2268 data_time: 0.0288 memory: 6108 grad_norm: 7.8303 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8024 loss: 1.8024 2022/07/23 07:04:27 - mmengine - INFO - Epoch(train) [65][1680/3757] lr: 1.0000e-03 eta: 8:41:27 time: 0.2380 data_time: 0.0277 memory: 6108 grad_norm: 7.6697 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2987 loss: 1.2987 2022/07/23 07:04:32 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 1.0000e-03 eta: 8:41:22 time: 0.2347 data_time: 0.0266 memory: 6108 grad_norm: 7.6343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/07/23 07:04:37 - mmengine - INFO - Epoch(train) [65][1720/3757] lr: 1.0000e-03 eta: 8:41:18 time: 0.2346 data_time: 0.0232 memory: 6108 grad_norm: 7.3872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1373 loss: 1.1373 2022/07/23 07:04:41 - mmengine - INFO - Epoch(train) [65][1740/3757] lr: 1.0000e-03 eta: 8:41:13 time: 0.2283 data_time: 0.0244 memory: 6108 grad_norm: 7.7532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4022 loss: 1.4022 2022/07/23 07:04:46 - mmengine - INFO - Epoch(train) [65][1760/3757] lr: 1.0000e-03 eta: 8:41:08 time: 0.2387 data_time: 0.0236 memory: 6108 grad_norm: 7.5549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4419 loss: 1.4419 2022/07/23 07:04:51 - mmengine - INFO - Epoch(train) [65][1780/3757] lr: 1.0000e-03 eta: 8:41:03 time: 0.2232 data_time: 0.0205 memory: 6108 grad_norm: 7.6581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2309 loss: 1.2309 2022/07/23 07:04:55 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 1.0000e-03 eta: 8:40:59 time: 0.2261 data_time: 0.0214 memory: 6108 grad_norm: 7.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4191 loss: 1.4191 2022/07/23 07:05:00 - mmengine - INFO - Epoch(train) [65][1820/3757] lr: 1.0000e-03 eta: 8:40:54 time: 0.2418 data_time: 0.0277 memory: 6108 grad_norm: 7.3998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/07/23 07:05:05 - mmengine - INFO - Epoch(train) [65][1840/3757] lr: 1.0000e-03 eta: 8:40:49 time: 0.2295 data_time: 0.0198 memory: 6108 grad_norm: 7.7127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2756 loss: 1.2756 2022/07/23 07:05:09 - mmengine - INFO - Epoch(train) [65][1860/3757] lr: 1.0000e-03 eta: 8:40:45 time: 0.2314 data_time: 0.0250 memory: 6108 grad_norm: 7.9028 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/07/23 07:05:14 - mmengine - INFO - Epoch(train) [65][1880/3757] lr: 1.0000e-03 eta: 8:40:40 time: 0.2295 data_time: 0.0230 memory: 6108 grad_norm: 7.7989 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/07/23 07:05:19 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 1.0000e-03 eta: 8:40:35 time: 0.2423 data_time: 0.0246 memory: 6108 grad_norm: 7.9943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3734 loss: 1.3734 2022/07/23 07:05:24 - mmengine - INFO - Epoch(train) [65][1920/3757] lr: 1.0000e-03 eta: 8:40:31 time: 0.2346 data_time: 0.0277 memory: 6108 grad_norm: 7.7195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3156 loss: 1.3156 2022/07/23 07:05:28 - mmengine - INFO - Epoch(train) [65][1940/3757] lr: 1.0000e-03 eta: 8:40:26 time: 0.2281 data_time: 0.0212 memory: 6108 grad_norm: 7.7221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2125 loss: 1.2125 2022/07/23 07:05:33 - mmengine - INFO - Epoch(train) [65][1960/3757] lr: 1.0000e-03 eta: 8:40:21 time: 0.2321 data_time: 0.0266 memory: 6108 grad_norm: 7.8950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/07/23 07:05:38 - mmengine - INFO - Epoch(train) [65][1980/3757] lr: 1.0000e-03 eta: 8:40:16 time: 0.2361 data_time: 0.0246 memory: 6108 grad_norm: 7.8107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6005 loss: 1.6005 2022/07/23 07:05:42 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 1.0000e-03 eta: 8:40:12 time: 0.2284 data_time: 0.0232 memory: 6108 grad_norm: 7.6413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2785 loss: 1.2785 2022/07/23 07:05:47 - mmengine - INFO - Epoch(train) [65][2020/3757] lr: 1.0000e-03 eta: 8:40:07 time: 0.2329 data_time: 0.0205 memory: 6108 grad_norm: 7.7796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0799 loss: 1.0799 2022/07/23 07:05:51 - mmengine - INFO - Epoch(train) [65][2040/3757] lr: 1.0000e-03 eta: 8:40:02 time: 0.2240 data_time: 0.0197 memory: 6108 grad_norm: 7.6861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/07/23 07:05:56 - mmengine - INFO - Epoch(train) [65][2060/3757] lr: 1.0000e-03 eta: 8:39:58 time: 0.2365 data_time: 0.0240 memory: 6108 grad_norm: 7.8065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6931 loss: 1.6931 2022/07/23 07:06:01 - mmengine - INFO - Epoch(train) [65][2080/3757] lr: 1.0000e-03 eta: 8:39:53 time: 0.2282 data_time: 0.0212 memory: 6108 grad_norm: 7.7280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2677 loss: 1.2677 2022/07/23 07:06:05 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 1.0000e-03 eta: 8:39:48 time: 0.2288 data_time: 0.0257 memory: 6108 grad_norm: 7.3453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/07/23 07:06:10 - mmengine - INFO - Epoch(train) [65][2120/3757] lr: 1.0000e-03 eta: 8:39:43 time: 0.2266 data_time: 0.0214 memory: 6108 grad_norm: 7.7978 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2690 loss: 1.2690 2022/07/23 07:06:15 - mmengine - INFO - Epoch(train) [65][2140/3757] lr: 1.0000e-03 eta: 8:39:39 time: 0.2647 data_time: 0.0218 memory: 6108 grad_norm: 7.3847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3029 loss: 1.3029 2022/07/23 07:06:20 - mmengine - INFO - Epoch(train) [65][2160/3757] lr: 1.0000e-03 eta: 8:39:34 time: 0.2359 data_time: 0.0213 memory: 6108 grad_norm: 7.6624 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/07/23 07:06:25 - mmengine - INFO - Epoch(train) [65][2180/3757] lr: 1.0000e-03 eta: 8:39:30 time: 0.2422 data_time: 0.0357 memory: 6108 grad_norm: 7.6834 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4120 loss: 1.4120 2022/07/23 07:06:30 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 1.0000e-03 eta: 8:39:25 time: 0.2428 data_time: 0.0162 memory: 6108 grad_norm: 7.7018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2508 loss: 1.2508 2022/07/23 07:06:34 - mmengine - INFO - Epoch(train) [65][2220/3757] lr: 1.0000e-03 eta: 8:39:20 time: 0.2257 data_time: 0.0252 memory: 6108 grad_norm: 7.4268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/23 07:06:39 - mmengine - INFO - Epoch(train) [65][2240/3757] lr: 1.0000e-03 eta: 8:39:16 time: 0.2398 data_time: 0.0248 memory: 6108 grad_norm: 7.6752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1566 loss: 1.1566 2022/07/23 07:06:44 - mmengine - INFO - Epoch(train) [65][2260/3757] lr: 1.0000e-03 eta: 8:39:11 time: 0.2283 data_time: 0.0218 memory: 6108 grad_norm: 8.0484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5166 loss: 1.5166 2022/07/23 07:06:53 - mmengine - INFO - Epoch(train) [65][2280/3757] lr: 1.0000e-03 eta: 8:39:09 time: 0.4639 data_time: 0.0213 memory: 6108 grad_norm: 7.8708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5847 loss: 1.5847 2022/07/23 07:06:58 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 1.0000e-03 eta: 8:39:04 time: 0.2326 data_time: 0.0265 memory: 6108 grad_norm: 7.7790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/23 07:07:02 - mmengine - INFO - Epoch(train) [65][2320/3757] lr: 1.0000e-03 eta: 8:38:59 time: 0.2281 data_time: 0.0243 memory: 6108 grad_norm: 7.5140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2398 loss: 1.2398 2022/07/23 07:07:07 - mmengine - INFO - Epoch(train) [65][2340/3757] lr: 1.0000e-03 eta: 8:38:55 time: 0.2319 data_time: 0.0203 memory: 6108 grad_norm: 7.6257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5324 loss: 1.5324 2022/07/23 07:07:11 - mmengine - INFO - Epoch(train) [65][2360/3757] lr: 1.0000e-03 eta: 8:38:50 time: 0.2295 data_time: 0.0291 memory: 6108 grad_norm: 7.6406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6863 loss: 1.6863 2022/07/23 07:07:16 - mmengine - INFO - Epoch(train) [65][2380/3757] lr: 1.0000e-03 eta: 8:38:45 time: 0.2304 data_time: 0.0283 memory: 6108 grad_norm: 7.9059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3181 loss: 1.3181 2022/07/23 07:07:21 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 1.0000e-03 eta: 8:38:40 time: 0.2276 data_time: 0.0191 memory: 6108 grad_norm: 7.7104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2106 loss: 1.2106 2022/07/23 07:07:25 - mmengine - INFO - Epoch(train) [65][2420/3757] lr: 1.0000e-03 eta: 8:38:36 time: 0.2293 data_time: 0.0232 memory: 6108 grad_norm: 7.5239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/07/23 07:07:30 - mmengine - INFO - Epoch(train) [65][2440/3757] lr: 1.0000e-03 eta: 8:38:31 time: 0.2533 data_time: 0.0208 memory: 6108 grad_norm: 7.8945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6256 loss: 1.6256 2022/07/23 07:07:35 - mmengine - INFO - Epoch(train) [65][2460/3757] lr: 1.0000e-03 eta: 8:38:26 time: 0.2265 data_time: 0.0232 memory: 6108 grad_norm: 7.7503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/07/23 07:07:40 - mmengine - INFO - Epoch(train) [65][2480/3757] lr: 1.0000e-03 eta: 8:38:22 time: 0.2358 data_time: 0.0220 memory: 6108 grad_norm: 7.5858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2502 loss: 1.2502 2022/07/23 07:07:44 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 1.0000e-03 eta: 8:38:17 time: 0.2415 data_time: 0.0260 memory: 6108 grad_norm: 7.7182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/07/23 07:07:49 - mmengine - INFO - Epoch(train) [65][2520/3757] lr: 1.0000e-03 eta: 8:38:12 time: 0.2270 data_time: 0.0226 memory: 6108 grad_norm: 7.6319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/07/23 07:07:54 - mmengine - INFO - Epoch(train) [65][2540/3757] lr: 1.0000e-03 eta: 8:38:08 time: 0.2282 data_time: 0.0222 memory: 6108 grad_norm: 7.6193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3381 loss: 1.3381 2022/07/23 07:07:57 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:07:59 - mmengine - INFO - Epoch(train) [65][2560/3757] lr: 1.0000e-03 eta: 8:38:03 time: 0.2427 data_time: 0.0258 memory: 6108 grad_norm: 7.5636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/07/23 07:08:03 - mmengine - INFO - Epoch(train) [65][2580/3757] lr: 1.0000e-03 eta: 8:37:58 time: 0.2287 data_time: 0.0228 memory: 6108 grad_norm: 7.6032 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2682 loss: 1.2682 2022/07/23 07:08:08 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 1.0000e-03 eta: 8:37:54 time: 0.2375 data_time: 0.0251 memory: 6108 grad_norm: 7.5776 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3017 loss: 1.3017 2022/07/23 07:08:13 - mmengine - INFO - Epoch(train) [65][2620/3757] lr: 1.0000e-03 eta: 8:37:49 time: 0.2341 data_time: 0.0202 memory: 6108 grad_norm: 7.6206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/07/23 07:08:17 - mmengine - INFO - Epoch(train) [65][2640/3757] lr: 1.0000e-03 eta: 8:37:44 time: 0.2392 data_time: 0.0252 memory: 6108 grad_norm: 7.5241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/07/23 07:08:22 - mmengine - INFO - Epoch(train) [65][2660/3757] lr: 1.0000e-03 eta: 8:37:40 time: 0.2293 data_time: 0.0245 memory: 6108 grad_norm: 7.9588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3078 loss: 1.3078 2022/07/23 07:08:27 - mmengine - INFO - Epoch(train) [65][2680/3757] lr: 1.0000e-03 eta: 8:37:35 time: 0.2461 data_time: 0.0165 memory: 6108 grad_norm: 7.7420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6099 loss: 1.6099 2022/07/23 07:08:32 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 1.0000e-03 eta: 8:37:30 time: 0.2334 data_time: 0.0217 memory: 6108 grad_norm: 7.6358 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4684 loss: 1.4684 2022/07/23 07:08:37 - mmengine - INFO - Epoch(train) [65][2720/3757] lr: 1.0000e-03 eta: 8:37:26 time: 0.2425 data_time: 0.0220 memory: 6108 grad_norm: 7.7596 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3897 loss: 1.3897 2022/07/23 07:08:41 - mmengine - INFO - Epoch(train) [65][2740/3757] lr: 1.0000e-03 eta: 8:37:21 time: 0.2246 data_time: 0.0246 memory: 6108 grad_norm: 7.6605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0816 loss: 1.0816 2022/07/23 07:08:46 - mmengine - INFO - Epoch(train) [65][2760/3757] lr: 1.0000e-03 eta: 8:37:16 time: 0.2293 data_time: 0.0215 memory: 6108 grad_norm: 7.7936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/07/23 07:08:50 - mmengine - INFO - Epoch(train) [65][2780/3757] lr: 1.0000e-03 eta: 8:37:11 time: 0.2290 data_time: 0.0226 memory: 6108 grad_norm: 7.8697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/07/23 07:08:55 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 1.0000e-03 eta: 8:37:07 time: 0.2273 data_time: 0.0191 memory: 6108 grad_norm: 7.6692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4996 loss: 1.4996 2022/07/23 07:09:00 - mmengine - INFO - Epoch(train) [65][2820/3757] lr: 1.0000e-03 eta: 8:37:02 time: 0.2351 data_time: 0.0218 memory: 6108 grad_norm: 7.7258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/07/23 07:09:04 - mmengine - INFO - Epoch(train) [65][2840/3757] lr: 1.0000e-03 eta: 8:36:57 time: 0.2284 data_time: 0.0261 memory: 6108 grad_norm: 8.1241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3369 loss: 1.3369 2022/07/23 07:09:09 - mmengine - INFO - Epoch(train) [65][2860/3757] lr: 1.0000e-03 eta: 8:36:53 time: 0.2402 data_time: 0.0314 memory: 6108 grad_norm: 7.5193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/07/23 07:09:14 - mmengine - INFO - Epoch(train) [65][2880/3757] lr: 1.0000e-03 eta: 8:36:48 time: 0.2402 data_time: 0.0410 memory: 6108 grad_norm: 7.6406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/07/23 07:09:19 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 1.0000e-03 eta: 8:36:44 time: 0.2594 data_time: 0.0235 memory: 6108 grad_norm: 8.0895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4550 loss: 1.4550 2022/07/23 07:09:24 - mmengine - INFO - Epoch(train) [65][2920/3757] lr: 1.0000e-03 eta: 8:36:39 time: 0.2249 data_time: 0.0175 memory: 6108 grad_norm: 7.8468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5207 loss: 1.5207 2022/07/23 07:09:28 - mmengine - INFO - Epoch(train) [65][2940/3757] lr: 1.0000e-03 eta: 8:36:34 time: 0.2251 data_time: 0.0196 memory: 6108 grad_norm: 7.6568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3346 loss: 1.3346 2022/07/23 07:09:33 - mmengine - INFO - Epoch(train) [65][2960/3757] lr: 1.0000e-03 eta: 8:36:29 time: 0.2368 data_time: 0.0341 memory: 6108 grad_norm: 7.8439 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1405 loss: 1.1405 2022/07/23 07:09:38 - mmengine - INFO - Epoch(train) [65][2980/3757] lr: 1.0000e-03 eta: 8:36:25 time: 0.2432 data_time: 0.0205 memory: 6108 grad_norm: 8.0100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4229 loss: 1.4229 2022/07/23 07:09:42 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 1.0000e-03 eta: 8:36:20 time: 0.2275 data_time: 0.0267 memory: 6108 grad_norm: 7.6476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3573 loss: 1.3573 2022/07/23 07:09:47 - mmengine - INFO - Epoch(train) [65][3020/3757] lr: 1.0000e-03 eta: 8:36:15 time: 0.2303 data_time: 0.0292 memory: 6108 grad_norm: 7.9264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5400 loss: 1.5400 2022/07/23 07:09:51 - mmengine - INFO - Epoch(train) [65][3040/3757] lr: 1.0000e-03 eta: 8:36:11 time: 0.2280 data_time: 0.0197 memory: 6108 grad_norm: 8.2811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3173 loss: 1.3173 2022/07/23 07:09:56 - mmengine - INFO - Epoch(train) [65][3060/3757] lr: 1.0000e-03 eta: 8:36:06 time: 0.2341 data_time: 0.0229 memory: 6108 grad_norm: 7.5333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2083 loss: 1.2083 2022/07/23 07:10:01 - mmengine - INFO - Epoch(train) [65][3080/3757] lr: 1.0000e-03 eta: 8:36:01 time: 0.2354 data_time: 0.0269 memory: 6108 grad_norm: 7.5479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1322 loss: 1.1322 2022/07/23 07:10:06 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 1.0000e-03 eta: 8:35:56 time: 0.2303 data_time: 0.0252 memory: 6108 grad_norm: 7.4474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5581 loss: 1.5581 2022/07/23 07:10:10 - mmengine - INFO - Epoch(train) [65][3120/3757] lr: 1.0000e-03 eta: 8:35:52 time: 0.2385 data_time: 0.0192 memory: 6108 grad_norm: 7.7522 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3337 loss: 1.3337 2022/07/23 07:10:15 - mmengine - INFO - Epoch(train) [65][3140/3757] lr: 1.0000e-03 eta: 8:35:47 time: 0.2330 data_time: 0.0236 memory: 6108 grad_norm: 7.6309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1343 loss: 1.1343 2022/07/23 07:10:20 - mmengine - INFO - Epoch(train) [65][3160/3757] lr: 1.0000e-03 eta: 8:35:42 time: 0.2443 data_time: 0.0247 memory: 6108 grad_norm: 7.9513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3218 loss: 1.3218 2022/07/23 07:10:25 - mmengine - INFO - Epoch(train) [65][3180/3757] lr: 1.0000e-03 eta: 8:35:38 time: 0.2286 data_time: 0.0228 memory: 6108 grad_norm: 7.7395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3455 loss: 1.3455 2022/07/23 07:10:29 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 1.0000e-03 eta: 8:35:33 time: 0.2355 data_time: 0.0196 memory: 6108 grad_norm: 7.8707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4532 loss: 1.4532 2022/07/23 07:10:34 - mmengine - INFO - Epoch(train) [65][3220/3757] lr: 1.0000e-03 eta: 8:35:28 time: 0.2264 data_time: 0.0186 memory: 6108 grad_norm: 7.9440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5836 loss: 1.5836 2022/07/23 07:10:39 - mmengine - INFO - Epoch(train) [65][3240/3757] lr: 1.0000e-03 eta: 8:35:24 time: 0.2375 data_time: 0.0193 memory: 6108 grad_norm: 7.7676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4350 loss: 1.4350 2022/07/23 07:10:43 - mmengine - INFO - Epoch(train) [65][3260/3757] lr: 1.0000e-03 eta: 8:35:19 time: 0.2415 data_time: 0.0197 memory: 6108 grad_norm: 7.7842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/23 07:10:48 - mmengine - INFO - Epoch(train) [65][3280/3757] lr: 1.0000e-03 eta: 8:35:14 time: 0.2321 data_time: 0.0173 memory: 6108 grad_norm: 7.9124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4791 loss: 1.4791 2022/07/23 07:10:53 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 1.0000e-03 eta: 8:35:10 time: 0.2329 data_time: 0.0190 memory: 6108 grad_norm: 7.7353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/07/23 07:10:58 - mmengine - INFO - Epoch(train) [65][3320/3757] lr: 1.0000e-03 eta: 8:35:05 time: 0.2377 data_time: 0.0255 memory: 6108 grad_norm: 8.0305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5472 loss: 1.5472 2022/07/23 07:11:02 - mmengine - INFO - Epoch(train) [65][3340/3757] lr: 1.0000e-03 eta: 8:35:00 time: 0.2316 data_time: 0.0304 memory: 6108 grad_norm: 7.5707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1840 loss: 1.1840 2022/07/23 07:11:07 - mmengine - INFO - Epoch(train) [65][3360/3757] lr: 1.0000e-03 eta: 8:34:56 time: 0.2328 data_time: 0.0217 memory: 6108 grad_norm: 7.5962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/07/23 07:11:12 - mmengine - INFO - Epoch(train) [65][3380/3757] lr: 1.0000e-03 eta: 8:34:51 time: 0.2304 data_time: 0.0262 memory: 6108 grad_norm: 7.4176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5759 loss: 1.5759 2022/07/23 07:11:16 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 1.0000e-03 eta: 8:34:46 time: 0.2310 data_time: 0.0193 memory: 6108 grad_norm: 7.7357 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4833 loss: 1.4833 2022/07/23 07:11:21 - mmengine - INFO - Epoch(train) [65][3420/3757] lr: 1.0000e-03 eta: 8:34:42 time: 0.2578 data_time: 0.0183 memory: 6108 grad_norm: 7.9282 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4068 loss: 1.4068 2022/07/23 07:11:26 - mmengine - INFO - Epoch(train) [65][3440/3757] lr: 1.0000e-03 eta: 8:34:37 time: 0.2301 data_time: 0.0219 memory: 6108 grad_norm: 7.7332 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5436 loss: 1.5436 2022/07/23 07:11:31 - mmengine - INFO - Epoch(train) [65][3460/3757] lr: 1.0000e-03 eta: 8:34:32 time: 0.2310 data_time: 0.0212 memory: 6108 grad_norm: 7.7712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4202 loss: 1.4202 2022/07/23 07:11:35 - mmengine - INFO - Epoch(train) [65][3480/3757] lr: 1.0000e-03 eta: 8:34:28 time: 0.2286 data_time: 0.0238 memory: 6108 grad_norm: 7.6612 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2294 loss: 1.2294 2022/07/23 07:11:40 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 1.0000e-03 eta: 8:34:23 time: 0.2294 data_time: 0.0219 memory: 6108 grad_norm: 7.7723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2703 loss: 1.2703 2022/07/23 07:11:44 - mmengine - INFO - Epoch(train) [65][3520/3757] lr: 1.0000e-03 eta: 8:34:18 time: 0.2270 data_time: 0.0259 memory: 6108 grad_norm: 7.4523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1744 loss: 1.1744 2022/07/23 07:11:49 - mmengine - INFO - Epoch(train) [65][3540/3757] lr: 1.0000e-03 eta: 8:34:13 time: 0.2428 data_time: 0.0226 memory: 6108 grad_norm: 7.7452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3064 loss: 1.3064 2022/07/23 07:11:52 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:11:54 - mmengine - INFO - Epoch(train) [65][3560/3757] lr: 1.0000e-03 eta: 8:34:09 time: 0.2445 data_time: 0.0197 memory: 6108 grad_norm: 7.8910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3690 loss: 1.3690 2022/07/23 07:11:59 - mmengine - INFO - Epoch(train) [65][3580/3757] lr: 1.0000e-03 eta: 8:34:04 time: 0.2332 data_time: 0.0161 memory: 6108 grad_norm: 7.7598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3356 loss: 1.3356 2022/07/23 07:12:03 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 1.0000e-03 eta: 8:33:59 time: 0.2286 data_time: 0.0220 memory: 6108 grad_norm: 7.7678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/07/23 07:12:08 - mmengine - INFO - Epoch(train) [65][3620/3757] lr: 1.0000e-03 eta: 8:33:55 time: 0.2314 data_time: 0.0242 memory: 6108 grad_norm: 8.0260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4830 loss: 1.4830 2022/07/23 07:12:13 - mmengine - INFO - Epoch(train) [65][3640/3757] lr: 1.0000e-03 eta: 8:33:50 time: 0.2302 data_time: 0.0242 memory: 6108 grad_norm: 7.6230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4792 loss: 1.4792 2022/07/23 07:12:17 - mmengine - INFO - Epoch(train) [65][3660/3757] lr: 1.0000e-03 eta: 8:33:45 time: 0.2327 data_time: 0.0214 memory: 6108 grad_norm: 8.0585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2050 loss: 1.2050 2022/07/23 07:12:22 - mmengine - INFO - Epoch(train) [65][3680/3757] lr: 1.0000e-03 eta: 8:33:40 time: 0.2247 data_time: 0.0225 memory: 6108 grad_norm: 7.8608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4576 loss: 1.4576 2022/07/23 07:12:27 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 1.0000e-03 eta: 8:33:36 time: 0.2401 data_time: 0.0208 memory: 6108 grad_norm: 7.9158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2873 loss: 1.2873 2022/07/23 07:12:31 - mmengine - INFO - Epoch(train) [65][3720/3757] lr: 1.0000e-03 eta: 8:33:31 time: 0.2279 data_time: 0.0233 memory: 6108 grad_norm: 7.7362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3367 loss: 1.3367 2022/07/23 07:12:36 - mmengine - INFO - Epoch(train) [65][3740/3757] lr: 1.0000e-03 eta: 8:33:26 time: 0.2309 data_time: 0.0304 memory: 6108 grad_norm: 7.6748 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1255 loss: 1.1255 2022/07/23 07:12:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:12:39 - mmengine - INFO - Epoch(train) [65][3757/3757] lr: 1.0000e-03 eta: 8:33:26 time: 0.2023 data_time: 0.0178 memory: 6108 grad_norm: 7.8194 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4500 loss: 1.4500 2022/07/23 07:12:39 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/07/23 07:12:50 - mmengine - INFO - Epoch(val) [65][20/310] eta: 0:01:18 time: 0.2705 data_time: 0.1956 memory: 1428 2022/07/23 07:12:54 - mmengine - INFO - Epoch(val) [65][40/310] eta: 0:00:48 time: 0.1795 data_time: 0.1041 memory: 1428 2022/07/23 07:12:58 - mmengine - INFO - Epoch(val) [65][60/310] eta: 0:00:54 time: 0.2166 data_time: 0.1338 memory: 1428 2022/07/23 07:13:02 - mmengine - INFO - Epoch(val) [65][80/310] eta: 0:00:46 time: 0.2018 data_time: 0.1290 memory: 1428 2022/07/23 07:13:06 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:00:44 time: 0.2104 data_time: 0.1343 memory: 1428 2022/07/23 07:13:10 - mmengine - INFO - Epoch(val) [65][120/310] eta: 0:00:38 time: 0.2050 data_time: 0.1281 memory: 1428 2022/07/23 07:13:15 - mmengine - INFO - Epoch(val) [65][140/310] eta: 0:00:37 time: 0.2235 data_time: 0.1461 memory: 1428 2022/07/23 07:13:19 - mmengine - INFO - Epoch(val) [65][160/310] eta: 0:00:32 time: 0.2187 data_time: 0.1392 memory: 1428 2022/07/23 07:13:23 - mmengine - INFO - Epoch(val) [65][180/310] eta: 0:00:27 time: 0.2079 data_time: 0.1318 memory: 1428 2022/07/23 07:13:27 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:00:20 time: 0.1895 data_time: 0.1152 memory: 1428 2022/07/23 07:13:33 - mmengine - INFO - Epoch(val) [65][220/310] eta: 0:00:24 time: 0.2683 data_time: 0.1951 memory: 1428 2022/07/23 07:13:37 - mmengine - INFO - Epoch(val) [65][240/310] eta: 0:00:14 time: 0.2060 data_time: 0.1201 memory: 1428 2022/07/23 07:13:41 - mmengine - INFO - Epoch(val) [65][260/310] eta: 0:00:11 time: 0.2338 data_time: 0.1542 memory: 1428 2022/07/23 07:13:44 - mmengine - INFO - Epoch(val) [65][280/310] eta: 0:00:04 time: 0.1560 data_time: 0.0899 memory: 1428 2022/07/23 07:13:47 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:01 time: 0.1388 data_time: 0.0835 memory: 1428 2022/07/23 07:13:50 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.6508 acc/top5: 0.8573 acc/mean1: 0.6507 2022/07/23 07:13:57 - mmengine - INFO - Epoch(train) [66][20/3757] lr: 1.0000e-03 eta: 8:33:17 time: 0.3448 data_time: 0.1002 memory: 6108 grad_norm: 7.5484 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3461 loss: 1.3461 2022/07/23 07:14:01 - mmengine - INFO - Epoch(train) [66][40/3757] lr: 1.0000e-03 eta: 8:33:12 time: 0.2274 data_time: 0.0257 memory: 6108 grad_norm: 7.5870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1192 loss: 1.1192 2022/07/23 07:14:06 - mmengine - INFO - Epoch(train) [66][60/3757] lr: 1.0000e-03 eta: 8:33:07 time: 0.2338 data_time: 0.0290 memory: 6108 grad_norm: 7.9021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/07/23 07:14:11 - mmengine - INFO - Epoch(train) [66][80/3757] lr: 1.0000e-03 eta: 8:33:03 time: 0.2317 data_time: 0.0206 memory: 6108 grad_norm: 7.4238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/07/23 07:14:16 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 1.0000e-03 eta: 8:32:58 time: 0.2391 data_time: 0.0220 memory: 6108 grad_norm: 7.5190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4637 loss: 1.4637 2022/07/23 07:14:20 - mmengine - INFO - Epoch(train) [66][120/3757] lr: 1.0000e-03 eta: 8:32:53 time: 0.2334 data_time: 0.0290 memory: 6108 grad_norm: 7.8658 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/07/23 07:14:25 - mmengine - INFO - Epoch(train) [66][140/3757] lr: 1.0000e-03 eta: 8:32:49 time: 0.2297 data_time: 0.0254 memory: 6108 grad_norm: 7.5817 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2598 loss: 1.2598 2022/07/23 07:14:30 - mmengine - INFO - Epoch(train) [66][160/3757] lr: 1.0000e-03 eta: 8:32:44 time: 0.2358 data_time: 0.0196 memory: 6108 grad_norm: 7.9293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1223 loss: 1.1223 2022/07/23 07:14:34 - mmengine - INFO - Epoch(train) [66][180/3757] lr: 1.0000e-03 eta: 8:32:39 time: 0.2295 data_time: 0.0251 memory: 6108 grad_norm: 7.2707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0827 loss: 1.0827 2022/07/23 07:14:39 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 1.0000e-03 eta: 8:32:35 time: 0.2409 data_time: 0.0236 memory: 6108 grad_norm: 7.7397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/07/23 07:14:44 - mmengine - INFO - Epoch(train) [66][220/3757] lr: 1.0000e-03 eta: 8:32:30 time: 0.2276 data_time: 0.0207 memory: 6108 grad_norm: 7.7733 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2657 loss: 1.2657 2022/07/23 07:14:48 - mmengine - INFO - Epoch(train) [66][240/3757] lr: 1.0000e-03 eta: 8:32:25 time: 0.2290 data_time: 0.0236 memory: 6108 grad_norm: 7.8493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5167 loss: 1.5167 2022/07/23 07:14:53 - mmengine - INFO - Epoch(train) [66][260/3757] lr: 1.0000e-03 eta: 8:32:20 time: 0.2261 data_time: 0.0269 memory: 6108 grad_norm: 7.6234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1801 loss: 1.1801 2022/07/23 07:14:57 - mmengine - INFO - Epoch(train) [66][280/3757] lr: 1.0000e-03 eta: 8:32:15 time: 0.2264 data_time: 0.0234 memory: 6108 grad_norm: 7.9013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2302 loss: 1.2302 2022/07/23 07:15:02 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 1.0000e-03 eta: 8:32:11 time: 0.2375 data_time: 0.0206 memory: 6108 grad_norm: 8.1978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2366 loss: 1.2366 2022/07/23 07:15:07 - mmengine - INFO - Epoch(train) [66][320/3757] lr: 1.0000e-03 eta: 8:32:06 time: 0.2399 data_time: 0.0230 memory: 6108 grad_norm: 8.1014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/07/23 07:15:11 - mmengine - INFO - Epoch(train) [66][340/3757] lr: 1.0000e-03 eta: 8:32:01 time: 0.2275 data_time: 0.0227 memory: 6108 grad_norm: 7.7751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4711 loss: 1.4711 2022/07/23 07:15:16 - mmengine - INFO - Epoch(train) [66][360/3757] lr: 1.0000e-03 eta: 8:31:57 time: 0.2288 data_time: 0.0224 memory: 6108 grad_norm: 7.8815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/07/23 07:15:21 - mmengine - INFO - Epoch(train) [66][380/3757] lr: 1.0000e-03 eta: 8:31:52 time: 0.2360 data_time: 0.0227 memory: 6108 grad_norm: 7.7718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4735 loss: 1.4735 2022/07/23 07:15:25 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 1.0000e-03 eta: 8:31:47 time: 0.2237 data_time: 0.0213 memory: 6108 grad_norm: 7.4544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/07/23 07:15:30 - mmengine - INFO - Epoch(train) [66][420/3757] lr: 1.0000e-03 eta: 8:31:43 time: 0.2417 data_time: 0.0266 memory: 6108 grad_norm: 7.7798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5116 loss: 1.5116 2022/07/23 07:15:35 - mmengine - INFO - Epoch(train) [66][440/3757] lr: 1.0000e-03 eta: 8:31:38 time: 0.2288 data_time: 0.0202 memory: 6108 grad_norm: 7.8166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/07/23 07:15:39 - mmengine - INFO - Epoch(train) [66][460/3757] lr: 1.0000e-03 eta: 8:31:33 time: 0.2323 data_time: 0.0232 memory: 6108 grad_norm: 7.1567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/07/23 07:15:44 - mmengine - INFO - Epoch(train) [66][480/3757] lr: 1.0000e-03 eta: 8:31:29 time: 0.2450 data_time: 0.0386 memory: 6108 grad_norm: 7.8536 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5651 loss: 1.5651 2022/07/23 07:15:49 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 1.0000e-03 eta: 8:31:24 time: 0.2364 data_time: 0.0249 memory: 6108 grad_norm: 7.5964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3275 loss: 1.3275 2022/07/23 07:15:54 - mmengine - INFO - Epoch(train) [66][520/3757] lr: 1.0000e-03 eta: 8:31:19 time: 0.2276 data_time: 0.0194 memory: 6108 grad_norm: 7.6819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3538 loss: 1.3538 2022/07/23 07:15:59 - mmengine - INFO - Epoch(train) [66][540/3757] lr: 1.0000e-03 eta: 8:31:15 time: 0.2619 data_time: 0.0235 memory: 6108 grad_norm: 7.6455 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/07/23 07:16:04 - mmengine - INFO - Epoch(train) [66][560/3757] lr: 1.0000e-03 eta: 8:31:10 time: 0.2309 data_time: 0.0249 memory: 6108 grad_norm: 7.8007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4006 loss: 1.4006 2022/07/23 07:16:08 - mmengine - INFO - Epoch(train) [66][580/3757] lr: 1.0000e-03 eta: 8:31:05 time: 0.2322 data_time: 0.0191 memory: 6108 grad_norm: 7.7223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/07/23 07:16:13 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 1.0000e-03 eta: 8:31:01 time: 0.2332 data_time: 0.0246 memory: 6108 grad_norm: 7.6213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4498 loss: 1.4498 2022/07/23 07:16:18 - mmengine - INFO - Epoch(train) [66][620/3757] lr: 1.0000e-03 eta: 8:30:56 time: 0.2362 data_time: 0.0191 memory: 6108 grad_norm: 7.8252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3191 loss: 1.3191 2022/07/23 07:16:22 - mmengine - INFO - Epoch(train) [66][640/3757] lr: 1.0000e-03 eta: 8:30:51 time: 0.2288 data_time: 0.0231 memory: 6108 grad_norm: 7.5117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3783 loss: 1.3783 2022/07/23 07:16:27 - mmengine - INFO - Epoch(train) [66][660/3757] lr: 1.0000e-03 eta: 8:30:47 time: 0.2374 data_time: 0.0223 memory: 6108 grad_norm: 8.0001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2084 loss: 1.2084 2022/07/23 07:16:32 - mmengine - INFO - Epoch(train) [66][680/3757] lr: 1.0000e-03 eta: 8:30:42 time: 0.2250 data_time: 0.0193 memory: 6108 grad_norm: 7.7504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2118 loss: 1.2118 2022/07/23 07:16:36 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 1.0000e-03 eta: 8:30:37 time: 0.2279 data_time: 0.0223 memory: 6108 grad_norm: 7.7016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/07/23 07:16:41 - mmengine - INFO - Epoch(train) [66][720/3757] lr: 1.0000e-03 eta: 8:30:32 time: 0.2391 data_time: 0.0294 memory: 6108 grad_norm: 7.6957 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5488 loss: 1.5488 2022/07/23 07:16:45 - mmengine - INFO - Epoch(train) [66][740/3757] lr: 1.0000e-03 eta: 8:30:28 time: 0.2253 data_time: 0.0261 memory: 6108 grad_norm: 7.6751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/07/23 07:16:50 - mmengine - INFO - Epoch(train) [66][760/3757] lr: 1.0000e-03 eta: 8:30:23 time: 0.2363 data_time: 0.0218 memory: 6108 grad_norm: 7.7126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/07/23 07:16:55 - mmengine - INFO - Epoch(train) [66][780/3757] lr: 1.0000e-03 eta: 8:30:18 time: 0.2475 data_time: 0.0221 memory: 6108 grad_norm: 7.8700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5957 loss: 1.5957 2022/07/23 07:16:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:17:00 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 1.0000e-03 eta: 8:30:14 time: 0.2295 data_time: 0.0213 memory: 6108 grad_norm: 7.8200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6843 loss: 1.6843 2022/07/23 07:17:10 - mmengine - INFO - Epoch(train) [66][820/3757] lr: 1.0000e-03 eta: 8:30:12 time: 0.5186 data_time: 0.0241 memory: 6108 grad_norm: 7.7352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2869 loss: 1.2869 2022/07/23 07:17:15 - mmengine - INFO - Epoch(train) [66][840/3757] lr: 1.0000e-03 eta: 8:30:07 time: 0.2274 data_time: 0.0269 memory: 6108 grad_norm: 7.7144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/07/23 07:17:19 - mmengine - INFO - Epoch(train) [66][860/3757] lr: 1.0000e-03 eta: 8:30:03 time: 0.2322 data_time: 0.0258 memory: 6108 grad_norm: 7.7327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4315 loss: 1.4315 2022/07/23 07:17:24 - mmengine - INFO - Epoch(train) [66][880/3757] lr: 1.0000e-03 eta: 8:29:58 time: 0.2260 data_time: 0.0179 memory: 6108 grad_norm: 7.5375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/07/23 07:17:29 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 1.0000e-03 eta: 8:29:53 time: 0.2371 data_time: 0.0271 memory: 6108 grad_norm: 7.6425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/07/23 07:17:33 - mmengine - INFO - Epoch(train) [66][920/3757] lr: 1.0000e-03 eta: 8:29:48 time: 0.2290 data_time: 0.0208 memory: 6108 grad_norm: 7.6044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/07/23 07:17:38 - mmengine - INFO - Epoch(train) [66][940/3757] lr: 1.0000e-03 eta: 8:29:44 time: 0.2437 data_time: 0.0281 memory: 6108 grad_norm: 7.8361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4622 loss: 1.4622 2022/07/23 07:17:43 - mmengine - INFO - Epoch(train) [66][960/3757] lr: 1.0000e-03 eta: 8:29:39 time: 0.2278 data_time: 0.0239 memory: 6108 grad_norm: 7.7169 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2805 loss: 1.2805 2022/07/23 07:17:47 - mmengine - INFO - Epoch(train) [66][980/3757] lr: 1.0000e-03 eta: 8:29:34 time: 0.2287 data_time: 0.0191 memory: 6108 grad_norm: 7.9477 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5589 loss: 1.5589 2022/07/23 07:17:52 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 1.0000e-03 eta: 8:29:30 time: 0.2320 data_time: 0.0214 memory: 6108 grad_norm: 7.7484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2262 loss: 1.2262 2022/07/23 07:17:57 - mmengine - INFO - Epoch(train) [66][1020/3757] lr: 1.0000e-03 eta: 8:29:25 time: 0.2296 data_time: 0.0237 memory: 6108 grad_norm: 8.2376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3794 loss: 1.3794 2022/07/23 07:18:01 - mmengine - INFO - Epoch(train) [66][1040/3757] lr: 1.0000e-03 eta: 8:29:20 time: 0.2359 data_time: 0.0330 memory: 6108 grad_norm: 7.6327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5035 loss: 1.5035 2022/07/23 07:18:06 - mmengine - INFO - Epoch(train) [66][1060/3757] lr: 1.0000e-03 eta: 8:29:16 time: 0.2469 data_time: 0.0180 memory: 6108 grad_norm: 7.7433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2395 loss: 1.2395 2022/07/23 07:18:11 - mmengine - INFO - Epoch(train) [66][1080/3757] lr: 1.0000e-03 eta: 8:29:11 time: 0.2341 data_time: 0.0233 memory: 6108 grad_norm: 7.5568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2037 loss: 1.2037 2022/07/23 07:18:16 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 1.0000e-03 eta: 8:29:06 time: 0.2320 data_time: 0.0198 memory: 6108 grad_norm: 8.2028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3263 loss: 1.3263 2022/07/23 07:18:21 - mmengine - INFO - Epoch(train) [66][1120/3757] lr: 1.0000e-03 eta: 8:29:02 time: 0.2367 data_time: 0.0249 memory: 6108 grad_norm: 7.4610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3323 loss: 1.3323 2022/07/23 07:18:25 - mmengine - INFO - Epoch(train) [66][1140/3757] lr: 1.0000e-03 eta: 8:28:57 time: 0.2305 data_time: 0.0194 memory: 6108 grad_norm: 7.5355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3835 loss: 1.3835 2022/07/23 07:18:30 - mmengine - INFO - Epoch(train) [66][1160/3757] lr: 1.0000e-03 eta: 8:28:52 time: 0.2482 data_time: 0.0237 memory: 6108 grad_norm: 7.9689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/07/23 07:18:35 - mmengine - INFO - Epoch(train) [66][1180/3757] lr: 1.0000e-03 eta: 8:28:48 time: 0.2292 data_time: 0.0187 memory: 6108 grad_norm: 7.7741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2620 loss: 1.2620 2022/07/23 07:18:39 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 1.0000e-03 eta: 8:28:43 time: 0.2319 data_time: 0.0284 memory: 6108 grad_norm: 7.8085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4603 loss: 1.4603 2022/07/23 07:18:44 - mmengine - INFO - Epoch(train) [66][1220/3757] lr: 1.0000e-03 eta: 8:28:38 time: 0.2255 data_time: 0.0173 memory: 6108 grad_norm: 7.7273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2717 loss: 1.2717 2022/07/23 07:18:49 - mmengine - INFO - Epoch(train) [66][1240/3757] lr: 1.0000e-03 eta: 8:28:34 time: 0.2645 data_time: 0.0217 memory: 6108 grad_norm: 7.9443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1520 loss: 1.1520 2022/07/23 07:18:54 - mmengine - INFO - Epoch(train) [66][1260/3757] lr: 1.0000e-03 eta: 8:28:29 time: 0.2335 data_time: 0.0212 memory: 6108 grad_norm: 7.7638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5244 loss: 1.5244 2022/07/23 07:18:59 - mmengine - INFO - Epoch(train) [66][1280/3757] lr: 1.0000e-03 eta: 8:28:24 time: 0.2298 data_time: 0.0205 memory: 6108 grad_norm: 7.9689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4387 loss: 1.4387 2022/07/23 07:19:03 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 1.0000e-03 eta: 8:28:20 time: 0.2268 data_time: 0.0211 memory: 6108 grad_norm: 7.5671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3602 loss: 1.3602 2022/07/23 07:19:08 - mmengine - INFO - Epoch(train) [66][1320/3757] lr: 1.0000e-03 eta: 8:28:15 time: 0.2502 data_time: 0.0283 memory: 6108 grad_norm: 8.0104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4269 loss: 1.4269 2022/07/23 07:19:13 - mmengine - INFO - Epoch(train) [66][1340/3757] lr: 1.0000e-03 eta: 8:28:10 time: 0.2285 data_time: 0.0182 memory: 6108 grad_norm: 7.6661 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0543 loss: 1.0543 2022/07/23 07:19:18 - mmengine - INFO - Epoch(train) [66][1360/3757] lr: 1.0000e-03 eta: 8:28:06 time: 0.2376 data_time: 0.0300 memory: 6108 grad_norm: 7.7795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/07/23 07:19:22 - mmengine - INFO - Epoch(train) [66][1380/3757] lr: 1.0000e-03 eta: 8:28:01 time: 0.2261 data_time: 0.0271 memory: 6108 grad_norm: 8.0659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2356 loss: 1.2356 2022/07/23 07:19:27 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 1.0000e-03 eta: 8:27:56 time: 0.2262 data_time: 0.0197 memory: 6108 grad_norm: 7.3478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3455 loss: 1.3455 2022/07/23 07:19:32 - mmengine - INFO - Epoch(train) [66][1420/3757] lr: 1.0000e-03 eta: 8:27:52 time: 0.2517 data_time: 0.0262 memory: 6108 grad_norm: 7.9630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/07/23 07:19:36 - mmengine - INFO - Epoch(train) [66][1440/3757] lr: 1.0000e-03 eta: 8:27:47 time: 0.2272 data_time: 0.0258 memory: 6108 grad_norm: 8.1436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3937 loss: 1.3937 2022/07/23 07:19:41 - mmengine - INFO - Epoch(train) [66][1460/3757] lr: 1.0000e-03 eta: 8:27:42 time: 0.2359 data_time: 0.0277 memory: 6108 grad_norm: 7.4590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/07/23 07:19:46 - mmengine - INFO - Epoch(train) [66][1480/3757] lr: 1.0000e-03 eta: 8:27:37 time: 0.2308 data_time: 0.0214 memory: 6108 grad_norm: 7.6339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/07/23 07:19:50 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 1.0000e-03 eta: 8:27:33 time: 0.2363 data_time: 0.0279 memory: 6108 grad_norm: 8.0065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1278 loss: 1.1278 2022/07/23 07:19:55 - mmengine - INFO - Epoch(train) [66][1520/3757] lr: 1.0000e-03 eta: 8:27:28 time: 0.2250 data_time: 0.0225 memory: 6108 grad_norm: 7.9898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3022 loss: 1.3022 2022/07/23 07:20:00 - mmengine - INFO - Epoch(train) [66][1540/3757] lr: 1.0000e-03 eta: 8:27:23 time: 0.2364 data_time: 0.0219 memory: 6108 grad_norm: 7.9128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3422 loss: 1.3422 2022/07/23 07:20:04 - mmengine - INFO - Epoch(train) [66][1560/3757] lr: 1.0000e-03 eta: 8:27:19 time: 0.2293 data_time: 0.0227 memory: 6108 grad_norm: 7.8898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5610 loss: 1.5610 2022/07/23 07:20:09 - mmengine - INFO - Epoch(train) [66][1580/3757] lr: 1.0000e-03 eta: 8:27:14 time: 0.2414 data_time: 0.0168 memory: 6108 grad_norm: 7.7201 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4206 loss: 1.4206 2022/07/23 07:20:14 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 1.0000e-03 eta: 8:27:09 time: 0.2268 data_time: 0.0242 memory: 6108 grad_norm: 7.8153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2329 loss: 1.2329 2022/07/23 07:20:19 - mmengine - INFO - Epoch(train) [66][1620/3757] lr: 1.0000e-03 eta: 8:27:05 time: 0.2423 data_time: 0.0212 memory: 6108 grad_norm: 7.7201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6066 loss: 1.6066 2022/07/23 07:20:23 - mmengine - INFO - Epoch(train) [66][1640/3757] lr: 1.0000e-03 eta: 8:27:00 time: 0.2331 data_time: 0.0310 memory: 6108 grad_norm: 7.8473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2667 loss: 1.2667 2022/07/23 07:20:28 - mmengine - INFO - Epoch(train) [66][1660/3757] lr: 1.0000e-03 eta: 8:26:55 time: 0.2342 data_time: 0.0256 memory: 6108 grad_norm: 7.8865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/07/23 07:20:33 - mmengine - INFO - Epoch(train) [66][1680/3757] lr: 1.0000e-03 eta: 8:26:51 time: 0.2391 data_time: 0.0292 memory: 6108 grad_norm: 7.6635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6349 loss: 1.6349 2022/07/23 07:20:37 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 1.0000e-03 eta: 8:26:46 time: 0.2264 data_time: 0.0206 memory: 6108 grad_norm: 7.9811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2930 loss: 1.2930 2022/07/23 07:20:42 - mmengine - INFO - Epoch(train) [66][1720/3757] lr: 1.0000e-03 eta: 8:26:41 time: 0.2288 data_time: 0.0269 memory: 6108 grad_norm: 7.5310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3619 loss: 1.3619 2022/07/23 07:20:47 - mmengine - INFO - Epoch(train) [66][1740/3757] lr: 1.0000e-03 eta: 8:26:37 time: 0.2444 data_time: 0.0219 memory: 6108 grad_norm: 7.9641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4413 loss: 1.4413 2022/07/23 07:20:52 - mmengine - INFO - Epoch(train) [66][1760/3757] lr: 1.0000e-03 eta: 8:26:32 time: 0.2416 data_time: 0.0219 memory: 6108 grad_norm: 7.7211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3080 loss: 1.3080 2022/07/23 07:20:56 - mmengine - INFO - Epoch(train) [66][1780/3757] lr: 1.0000e-03 eta: 8:26:27 time: 0.2286 data_time: 0.0191 memory: 6108 grad_norm: 7.8711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0982 loss: 1.0982 2022/07/23 07:21:00 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:21:01 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 1.0000e-03 eta: 8:26:23 time: 0.2334 data_time: 0.0272 memory: 6108 grad_norm: 8.0515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3128 loss: 1.3128 2022/07/23 07:21:06 - mmengine - INFO - Epoch(train) [66][1820/3757] lr: 1.0000e-03 eta: 8:26:18 time: 0.2300 data_time: 0.0195 memory: 6108 grad_norm: 7.8864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3766 loss: 1.3766 2022/07/23 07:21:10 - mmengine - INFO - Epoch(train) [66][1840/3757] lr: 1.0000e-03 eta: 8:26:13 time: 0.2330 data_time: 0.0230 memory: 6108 grad_norm: 7.9271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/07/23 07:21:15 - mmengine - INFO - Epoch(train) [66][1860/3757] lr: 1.0000e-03 eta: 8:26:08 time: 0.2310 data_time: 0.0285 memory: 6108 grad_norm: 7.5955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1750 loss: 1.1750 2022/07/23 07:21:20 - mmengine - INFO - Epoch(train) [66][1880/3757] lr: 1.0000e-03 eta: 8:26:04 time: 0.2352 data_time: 0.0184 memory: 6108 grad_norm: 7.3824 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2881 loss: 1.2881 2022/07/23 07:21:24 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 1.0000e-03 eta: 8:25:59 time: 0.2333 data_time: 0.0270 memory: 6108 grad_norm: 7.8467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3528 loss: 1.3528 2022/07/23 07:21:29 - mmengine - INFO - Epoch(train) [66][1920/3757] lr: 1.0000e-03 eta: 8:25:54 time: 0.2422 data_time: 0.0201 memory: 6108 grad_norm: 7.6002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1598 loss: 1.1598 2022/07/23 07:21:34 - mmengine - INFO - Epoch(train) [66][1940/3757] lr: 1.0000e-03 eta: 8:25:50 time: 0.2306 data_time: 0.0214 memory: 6108 grad_norm: 8.0174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4452 loss: 1.4452 2022/07/23 07:21:39 - mmengine - INFO - Epoch(train) [66][1960/3757] lr: 1.0000e-03 eta: 8:25:45 time: 0.2341 data_time: 0.0218 memory: 6108 grad_norm: 7.7895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4308 loss: 1.4308 2022/07/23 07:21:43 - mmengine - INFO - Epoch(train) [66][1980/3757] lr: 1.0000e-03 eta: 8:25:40 time: 0.2280 data_time: 0.0210 memory: 6108 grad_norm: 8.0306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3161 loss: 1.3161 2022/07/23 07:21:48 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 1.0000e-03 eta: 8:25:36 time: 0.2585 data_time: 0.0251 memory: 6108 grad_norm: 7.9426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3171 loss: 1.3171 2022/07/23 07:21:53 - mmengine - INFO - Epoch(train) [66][2020/3757] lr: 1.0000e-03 eta: 8:25:31 time: 0.2220 data_time: 0.0250 memory: 6108 grad_norm: 7.8210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2818 loss: 1.2818 2022/07/23 07:21:57 - mmengine - INFO - Epoch(train) [66][2040/3757] lr: 1.0000e-03 eta: 8:25:26 time: 0.2280 data_time: 0.0229 memory: 6108 grad_norm: 7.8459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4037 loss: 1.4037 2022/07/23 07:22:02 - mmengine - INFO - Epoch(train) [66][2060/3757] lr: 1.0000e-03 eta: 8:25:22 time: 0.2306 data_time: 0.0194 memory: 6108 grad_norm: 7.6316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2293 loss: 1.2293 2022/07/23 07:22:07 - mmengine - INFO - Epoch(train) [66][2080/3757] lr: 1.0000e-03 eta: 8:25:17 time: 0.2269 data_time: 0.0277 memory: 6108 grad_norm: 7.4980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2510 loss: 1.2510 2022/07/23 07:22:11 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 1.0000e-03 eta: 8:25:12 time: 0.2401 data_time: 0.0285 memory: 6108 grad_norm: 7.7894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3309 loss: 1.3309 2022/07/23 07:22:16 - mmengine - INFO - Epoch(train) [66][2120/3757] lr: 1.0000e-03 eta: 8:25:07 time: 0.2343 data_time: 0.0212 memory: 6108 grad_norm: 7.7998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/07/23 07:22:21 - mmengine - INFO - Epoch(train) [66][2140/3757] lr: 1.0000e-03 eta: 8:25:03 time: 0.2286 data_time: 0.0228 memory: 6108 grad_norm: 7.7779 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1282 loss: 1.1282 2022/07/23 07:22:25 - mmengine - INFO - Epoch(train) [66][2160/3757] lr: 1.0000e-03 eta: 8:24:58 time: 0.2248 data_time: 0.0216 memory: 6108 grad_norm: 7.8869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3992 loss: 1.3992 2022/07/23 07:22:30 - mmengine - INFO - Epoch(train) [66][2180/3757] lr: 1.0000e-03 eta: 8:24:53 time: 0.2575 data_time: 0.0173 memory: 6108 grad_norm: 7.9492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4482 loss: 1.4482 2022/07/23 07:22:35 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 1.0000e-03 eta: 8:24:49 time: 0.2353 data_time: 0.0224 memory: 6108 grad_norm: 7.7600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4388 loss: 1.4388 2022/07/23 07:22:40 - mmengine - INFO - Epoch(train) [66][2220/3757] lr: 1.0000e-03 eta: 8:24:44 time: 0.2282 data_time: 0.0219 memory: 6108 grad_norm: 7.9760 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4609 loss: 1.4609 2022/07/23 07:22:44 - mmengine - INFO - Epoch(train) [66][2240/3757] lr: 1.0000e-03 eta: 8:24:39 time: 0.2332 data_time: 0.0283 memory: 6108 grad_norm: 7.8790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4264 loss: 1.4264 2022/07/23 07:22:50 - mmengine - INFO - Epoch(train) [66][2260/3757] lr: 1.0000e-03 eta: 8:24:35 time: 0.2546 data_time: 0.0222 memory: 6108 grad_norm: 8.0925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/23 07:22:54 - mmengine - INFO - Epoch(train) [66][2280/3757] lr: 1.0000e-03 eta: 8:24:30 time: 0.2320 data_time: 0.0282 memory: 6108 grad_norm: 7.9083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4919 loss: 1.4919 2022/07/23 07:22:59 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 1.0000e-03 eta: 8:24:25 time: 0.2317 data_time: 0.0204 memory: 6108 grad_norm: 7.9190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4005 loss: 1.4005 2022/07/23 07:23:03 - mmengine - INFO - Epoch(train) [66][2320/3757] lr: 1.0000e-03 eta: 8:24:21 time: 0.2258 data_time: 0.0215 memory: 6108 grad_norm: 7.8917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3951 loss: 1.3951 2022/07/23 07:23:08 - mmengine - INFO - Epoch(train) [66][2340/3757] lr: 1.0000e-03 eta: 8:24:16 time: 0.2348 data_time: 0.0247 memory: 6108 grad_norm: 7.6979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3091 loss: 1.3091 2022/07/23 07:23:13 - mmengine - INFO - Epoch(train) [66][2360/3757] lr: 1.0000e-03 eta: 8:24:11 time: 0.2345 data_time: 0.0208 memory: 6108 grad_norm: 7.9121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/07/23 07:23:18 - mmengine - INFO - Epoch(train) [66][2380/3757] lr: 1.0000e-03 eta: 8:24:07 time: 0.2418 data_time: 0.0189 memory: 6108 grad_norm: 7.6915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/07/23 07:23:22 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 1.0000e-03 eta: 8:24:02 time: 0.2319 data_time: 0.0277 memory: 6108 grad_norm: 7.6859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/07/23 07:23:27 - mmengine - INFO - Epoch(train) [66][2420/3757] lr: 1.0000e-03 eta: 8:23:57 time: 0.2284 data_time: 0.0215 memory: 6108 grad_norm: 7.6711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1672 loss: 1.1672 2022/07/23 07:23:32 - mmengine - INFO - Epoch(train) [66][2440/3757] lr: 1.0000e-03 eta: 8:23:53 time: 0.2333 data_time: 0.0216 memory: 6108 grad_norm: 7.7479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/07/23 07:23:36 - mmengine - INFO - Epoch(train) [66][2460/3757] lr: 1.0000e-03 eta: 8:23:48 time: 0.2332 data_time: 0.0304 memory: 6108 grad_norm: 7.9019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3878 loss: 1.3878 2022/07/23 07:23:41 - mmengine - INFO - Epoch(train) [66][2480/3757] lr: 1.0000e-03 eta: 8:23:43 time: 0.2278 data_time: 0.0243 memory: 6108 grad_norm: 7.7643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4522 loss: 1.4522 2022/07/23 07:23:46 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 1.0000e-03 eta: 8:23:38 time: 0.2306 data_time: 0.0263 memory: 6108 grad_norm: 7.6474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4103 loss: 1.4103 2022/07/23 07:23:50 - mmengine - INFO - Epoch(train) [66][2520/3757] lr: 1.0000e-03 eta: 8:23:34 time: 0.2402 data_time: 0.0271 memory: 6108 grad_norm: 7.9178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5125 loss: 1.5125 2022/07/23 07:23:55 - mmengine - INFO - Epoch(train) [66][2540/3757] lr: 1.0000e-03 eta: 8:23:29 time: 0.2248 data_time: 0.0211 memory: 6108 grad_norm: 7.7407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/07/23 07:24:00 - mmengine - INFO - Epoch(train) [66][2560/3757] lr: 1.0000e-03 eta: 8:23:24 time: 0.2329 data_time: 0.0192 memory: 6108 grad_norm: 8.0984 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/07/23 07:24:04 - mmengine - INFO - Epoch(train) [66][2580/3757] lr: 1.0000e-03 eta: 8:23:20 time: 0.2283 data_time: 0.0229 memory: 6108 grad_norm: 7.8546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/07/23 07:24:09 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 1.0000e-03 eta: 8:23:15 time: 0.2348 data_time: 0.0199 memory: 6108 grad_norm: 7.8981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3250 loss: 1.3250 2022/07/23 07:24:14 - mmengine - INFO - Epoch(train) [66][2620/3757] lr: 1.0000e-03 eta: 8:23:10 time: 0.2311 data_time: 0.0211 memory: 6108 grad_norm: 7.7992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/07/23 07:24:18 - mmengine - INFO - Epoch(train) [66][2640/3757] lr: 1.0000e-03 eta: 8:23:05 time: 0.2300 data_time: 0.0221 memory: 6108 grad_norm: 7.7744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/07/23 07:24:23 - mmengine - INFO - Epoch(train) [66][2660/3757] lr: 1.0000e-03 eta: 8:23:01 time: 0.2305 data_time: 0.0186 memory: 6108 grad_norm: 7.8500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2416 loss: 1.2416 2022/07/23 07:24:27 - mmengine - INFO - Epoch(train) [66][2680/3757] lr: 1.0000e-03 eta: 8:22:56 time: 0.2246 data_time: 0.0190 memory: 6108 grad_norm: 8.0021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4385 loss: 1.4385 2022/07/23 07:24:32 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 1.0000e-03 eta: 8:22:51 time: 0.2534 data_time: 0.0503 memory: 6108 grad_norm: 7.7001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2743 loss: 1.2743 2022/07/23 07:24:37 - mmengine - INFO - Epoch(train) [66][2720/3757] lr: 1.0000e-03 eta: 8:22:47 time: 0.2425 data_time: 0.0373 memory: 6108 grad_norm: 7.8617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/07/23 07:24:42 - mmengine - INFO - Epoch(train) [66][2740/3757] lr: 1.0000e-03 eta: 8:22:42 time: 0.2389 data_time: 0.0239 memory: 6108 grad_norm: 7.6506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3252 loss: 1.3252 2022/07/23 07:24:47 - mmengine - INFO - Epoch(train) [66][2760/3757] lr: 1.0000e-03 eta: 8:22:38 time: 0.2387 data_time: 0.0256 memory: 6108 grad_norm: 8.2190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4756 loss: 1.4756 2022/07/23 07:24:52 - mmengine - INFO - Epoch(train) [66][2780/3757] lr: 1.0000e-03 eta: 8:22:33 time: 0.2350 data_time: 0.0254 memory: 6108 grad_norm: 7.4914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2102 loss: 1.2102 2022/07/23 07:24:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:24:56 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 1.0000e-03 eta: 8:22:28 time: 0.2322 data_time: 0.0336 memory: 6108 grad_norm: 7.6989 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5019 loss: 1.5019 2022/07/23 07:25:01 - mmengine - INFO - Epoch(train) [66][2820/3757] lr: 1.0000e-03 eta: 8:22:23 time: 0.2335 data_time: 0.0292 memory: 6108 grad_norm: 7.4663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0874 loss: 1.0874 2022/07/23 07:25:05 - mmengine - INFO - Epoch(train) [66][2840/3757] lr: 1.0000e-03 eta: 8:22:19 time: 0.2259 data_time: 0.0215 memory: 6108 grad_norm: 7.5864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3527 loss: 1.3527 2022/07/23 07:25:10 - mmengine - INFO - Epoch(train) [66][2860/3757] lr: 1.0000e-03 eta: 8:22:14 time: 0.2489 data_time: 0.0301 memory: 6108 grad_norm: 7.6656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4172 loss: 1.4172 2022/07/23 07:25:15 - mmengine - INFO - Epoch(train) [66][2880/3757] lr: 1.0000e-03 eta: 8:22:09 time: 0.2273 data_time: 0.0211 memory: 6108 grad_norm: 7.8605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2674 loss: 1.2674 2022/07/23 07:25:20 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 1.0000e-03 eta: 8:22:05 time: 0.2611 data_time: 0.0213 memory: 6108 grad_norm: 8.0058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3954 loss: 1.3954 2022/07/23 07:25:25 - mmengine - INFO - Epoch(train) [66][2920/3757] lr: 1.0000e-03 eta: 8:22:00 time: 0.2214 data_time: 0.0176 memory: 6108 grad_norm: 7.6868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/07/23 07:25:29 - mmengine - INFO - Epoch(train) [66][2940/3757] lr: 1.0000e-03 eta: 8:21:55 time: 0.2324 data_time: 0.0220 memory: 6108 grad_norm: 8.0009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5036 loss: 1.5036 2022/07/23 07:25:34 - mmengine - INFO - Epoch(train) [66][2960/3757] lr: 1.0000e-03 eta: 8:21:51 time: 0.2225 data_time: 0.0209 memory: 6108 grad_norm: 7.7598 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3085 loss: 1.3085 2022/07/23 07:25:39 - mmengine - INFO - Epoch(train) [66][2980/3757] lr: 1.0000e-03 eta: 8:21:46 time: 0.2430 data_time: 0.0206 memory: 6108 grad_norm: 7.6902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/07/23 07:25:43 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 1.0000e-03 eta: 8:21:41 time: 0.2315 data_time: 0.0293 memory: 6108 grad_norm: 8.2694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/07/23 07:25:48 - mmengine - INFO - Epoch(train) [66][3020/3757] lr: 1.0000e-03 eta: 8:21:37 time: 0.2374 data_time: 0.0203 memory: 6108 grad_norm: 7.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2943 loss: 1.2943 2022/07/23 07:25:53 - mmengine - INFO - Epoch(train) [66][3040/3757] lr: 1.0000e-03 eta: 8:21:32 time: 0.2281 data_time: 0.0232 memory: 6108 grad_norm: 7.9572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5609 loss: 1.5609 2022/07/23 07:25:57 - mmengine - INFO - Epoch(train) [66][3060/3757] lr: 1.0000e-03 eta: 8:21:27 time: 0.2292 data_time: 0.0243 memory: 6108 grad_norm: 7.9062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2552 loss: 1.2552 2022/07/23 07:26:02 - mmengine - INFO - Epoch(train) [66][3080/3757] lr: 1.0000e-03 eta: 8:21:23 time: 0.2361 data_time: 0.0246 memory: 6108 grad_norm: 7.6453 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1933 loss: 1.1933 2022/07/23 07:26:07 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 1.0000e-03 eta: 8:21:18 time: 0.2364 data_time: 0.0191 memory: 6108 grad_norm: 7.8416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5241 loss: 1.5241 2022/07/23 07:26:16 - mmengine - INFO - Epoch(train) [66][3120/3757] lr: 1.0000e-03 eta: 8:21:15 time: 0.4294 data_time: 0.0220 memory: 6108 grad_norm: 7.5122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1887 loss: 1.1887 2022/07/23 07:26:20 - mmengine - INFO - Epoch(train) [66][3140/3757] lr: 1.0000e-03 eta: 8:21:11 time: 0.2324 data_time: 0.0179 memory: 6108 grad_norm: 7.8650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4100 loss: 1.4100 2022/07/23 07:26:25 - mmengine - INFO - Epoch(train) [66][3160/3757] lr: 1.0000e-03 eta: 8:21:06 time: 0.2391 data_time: 0.0215 memory: 6108 grad_norm: 7.8987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2262 loss: 1.2262 2022/07/23 07:26:30 - mmengine - INFO - Epoch(train) [66][3180/3757] lr: 1.0000e-03 eta: 8:21:01 time: 0.2270 data_time: 0.0219 memory: 6108 grad_norm: 7.8215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/07/23 07:26:34 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 1.0000e-03 eta: 8:20:56 time: 0.2275 data_time: 0.0257 memory: 6108 grad_norm: 7.8212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4181 loss: 1.4181 2022/07/23 07:26:39 - mmengine - INFO - Epoch(train) [66][3220/3757] lr: 1.0000e-03 eta: 8:20:52 time: 0.2324 data_time: 0.0220 memory: 6108 grad_norm: 8.1127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5466 loss: 1.5466 2022/07/23 07:26:44 - mmengine - INFO - Epoch(train) [66][3240/3757] lr: 1.0000e-03 eta: 8:20:47 time: 0.2380 data_time: 0.0319 memory: 6108 grad_norm: 7.9134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3413 loss: 1.3413 2022/07/23 07:26:48 - mmengine - INFO - Epoch(train) [66][3260/3757] lr: 1.0000e-03 eta: 8:20:42 time: 0.2267 data_time: 0.0193 memory: 6108 grad_norm: 8.0922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/07/23 07:26:53 - mmengine - INFO - Epoch(train) [66][3280/3757] lr: 1.0000e-03 eta: 8:20:38 time: 0.2298 data_time: 0.0245 memory: 6108 grad_norm: 8.0570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6581 loss: 1.6581 2022/07/23 07:26:58 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 1.0000e-03 eta: 8:20:33 time: 0.2482 data_time: 0.0190 memory: 6108 grad_norm: 7.9623 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5052 loss: 1.5052 2022/07/23 07:27:02 - mmengine - INFO - Epoch(train) [66][3320/3757] lr: 1.0000e-03 eta: 8:20:28 time: 0.2344 data_time: 0.0185 memory: 6108 grad_norm: 7.8407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2666 loss: 1.2666 2022/07/23 07:27:07 - mmengine - INFO - Epoch(train) [66][3340/3757] lr: 1.0000e-03 eta: 8:20:24 time: 0.2288 data_time: 0.0263 memory: 6108 grad_norm: 7.7804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2835 loss: 1.2835 2022/07/23 07:27:12 - mmengine - INFO - Epoch(train) [66][3360/3757] lr: 1.0000e-03 eta: 8:20:19 time: 0.2340 data_time: 0.0216 memory: 6108 grad_norm: 7.7892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3298 loss: 1.3298 2022/07/23 07:27:16 - mmengine - INFO - Epoch(train) [66][3380/3757] lr: 1.0000e-03 eta: 8:20:14 time: 0.2233 data_time: 0.0215 memory: 6108 grad_norm: 7.7304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2848 loss: 1.2848 2022/07/23 07:27:21 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 1.0000e-03 eta: 8:20:09 time: 0.2442 data_time: 0.0244 memory: 6108 grad_norm: 7.6924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3602 loss: 1.3602 2022/07/23 07:27:26 - mmengine - INFO - Epoch(train) [66][3420/3757] lr: 1.0000e-03 eta: 8:20:05 time: 0.2244 data_time: 0.0193 memory: 6108 grad_norm: 8.0184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6496 loss: 1.6496 2022/07/23 07:27:30 - mmengine - INFO - Epoch(train) [66][3440/3757] lr: 1.0000e-03 eta: 8:20:00 time: 0.2334 data_time: 0.0215 memory: 6108 grad_norm: 7.7831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3934 loss: 1.3934 2022/07/23 07:27:35 - mmengine - INFO - Epoch(train) [66][3460/3757] lr: 1.0000e-03 eta: 8:19:55 time: 0.2275 data_time: 0.0234 memory: 6108 grad_norm: 7.7963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3299 loss: 1.3299 2022/07/23 07:27:40 - mmengine - INFO - Epoch(train) [66][3480/3757] lr: 1.0000e-03 eta: 8:19:51 time: 0.2413 data_time: 0.0208 memory: 6108 grad_norm: 7.5857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4262 loss: 1.4262 2022/07/23 07:27:44 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 1.0000e-03 eta: 8:19:46 time: 0.2323 data_time: 0.0242 memory: 6108 grad_norm: 7.9401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/07/23 07:27:49 - mmengine - INFO - Epoch(train) [66][3520/3757] lr: 1.0000e-03 eta: 8:19:41 time: 0.2289 data_time: 0.0270 memory: 6108 grad_norm: 8.2824 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4042 loss: 1.4042 2022/07/23 07:27:54 - mmengine - INFO - Epoch(train) [66][3540/3757] lr: 1.0000e-03 eta: 8:19:36 time: 0.2290 data_time: 0.0237 memory: 6108 grad_norm: 7.8957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4024 loss: 1.4024 2022/07/23 07:27:58 - mmengine - INFO - Epoch(train) [66][3560/3757] lr: 1.0000e-03 eta: 8:19:32 time: 0.2323 data_time: 0.0179 memory: 6108 grad_norm: 7.8128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5910 loss: 1.5910 2022/07/23 07:28:03 - mmengine - INFO - Epoch(train) [66][3580/3757] lr: 1.0000e-03 eta: 8:19:27 time: 0.2304 data_time: 0.0269 memory: 6108 grad_norm: 7.9595 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6353 loss: 1.6353 2022/07/23 07:28:08 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 1.0000e-03 eta: 8:19:22 time: 0.2298 data_time: 0.0214 memory: 6108 grad_norm: 7.8892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4094 loss: 1.4094 2022/07/23 07:28:12 - mmengine - INFO - Epoch(train) [66][3620/3757] lr: 1.0000e-03 eta: 8:19:18 time: 0.2325 data_time: 0.0214 memory: 6108 grad_norm: 7.7812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4613 loss: 1.4613 2022/07/23 07:28:17 - mmengine - INFO - Epoch(train) [66][3640/3757] lr: 1.0000e-03 eta: 8:19:13 time: 0.2341 data_time: 0.0225 memory: 6108 grad_norm: 7.8617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5197 loss: 1.5197 2022/07/23 07:28:22 - mmengine - INFO - Epoch(train) [66][3660/3757] lr: 1.0000e-03 eta: 8:19:08 time: 0.2363 data_time: 0.0228 memory: 6108 grad_norm: 7.9609 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4499 loss: 1.4499 2022/07/23 07:28:26 - mmengine - INFO - Epoch(train) [66][3680/3757] lr: 1.0000e-03 eta: 8:19:04 time: 0.2325 data_time: 0.0196 memory: 6108 grad_norm: 7.6274 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3321 loss: 1.3321 2022/07/23 07:28:31 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 1.0000e-03 eta: 8:18:59 time: 0.2339 data_time: 0.0202 memory: 6108 grad_norm: 7.8585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4652 loss: 1.4652 2022/07/23 07:28:36 - mmengine - INFO - Epoch(train) [66][3720/3757] lr: 1.0000e-03 eta: 8:18:54 time: 0.2275 data_time: 0.0181 memory: 6108 grad_norm: 7.7045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2455 loss: 1.2455 2022/07/23 07:28:41 - mmengine - INFO - Epoch(train) [66][3740/3757] lr: 1.0000e-03 eta: 8:18:50 time: 0.2460 data_time: 0.0187 memory: 6108 grad_norm: 7.8981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2323 loss: 1.2323 2022/07/23 07:28:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:28:44 - mmengine - INFO - Epoch(train) [66][3757/3757] lr: 1.0000e-03 eta: 8:18:50 time: 0.1965 data_time: 0.0177 memory: 6108 grad_norm: 7.9747 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/07/23 07:28:50 - mmengine - INFO - Epoch(val) [66][20/310] eta: 0:01:23 time: 0.2879 data_time: 0.2068 memory: 1428 2022/07/23 07:28:53 - mmengine - INFO - Epoch(val) [66][40/310] eta: 0:00:51 time: 0.1890 data_time: 0.1131 memory: 1428 2022/07/23 07:28:58 - mmengine - INFO - Epoch(val) [66][60/310] eta: 0:00:51 time: 0.2047 data_time: 0.1294 memory: 1428 2022/07/23 07:29:01 - mmengine - INFO - Epoch(val) [66][80/310] eta: 0:00:44 time: 0.1952 data_time: 0.1121 memory: 1428 2022/07/23 07:29:06 - mmengine - INFO - Epoch(val) [66][100/310] eta: 0:00:45 time: 0.2169 data_time: 0.1428 memory: 1428 2022/07/23 07:29:10 - mmengine - INFO - Epoch(val) [66][120/310] eta: 0:00:39 time: 0.2068 data_time: 0.1297 memory: 1428 2022/07/23 07:29:15 - mmengine - INFO - Epoch(val) [66][140/310] eta: 0:00:38 time: 0.2290 data_time: 0.1560 memory: 1428 2022/07/23 07:29:19 - mmengine - INFO - Epoch(val) [66][160/310] eta: 0:00:31 time: 0.2115 data_time: 0.1387 memory: 1428 2022/07/23 07:29:23 - mmengine - INFO - Epoch(val) [66][180/310] eta: 0:00:27 time: 0.2112 data_time: 0.1329 memory: 1428 2022/07/23 07:29:27 - mmengine - INFO - Epoch(val) [66][200/310] eta: 0:00:21 time: 0.1979 data_time: 0.1244 memory: 1428 2022/07/23 07:29:31 - mmengine - INFO - Epoch(val) [66][220/310] eta: 0:00:19 time: 0.2158 data_time: 0.1342 memory: 1428 2022/07/23 07:29:35 - mmengine - INFO - Epoch(val) [66][240/310] eta: 0:00:13 time: 0.1962 data_time: 0.1204 memory: 1428 2022/07/23 07:29:40 - mmengine - INFO - Epoch(val) [66][260/310] eta: 0:00:11 time: 0.2328 data_time: 0.1578 memory: 1428 2022/07/23 07:29:44 - mmengine - INFO - Epoch(val) [66][280/310] eta: 0:00:05 time: 0.1948 data_time: 0.1188 memory: 1428 2022/07/23 07:29:48 - mmengine - INFO - Epoch(val) [66][300/310] eta: 0:00:02 time: 0.2095 data_time: 0.1337 memory: 1428 2022/07/23 07:29:52 - mmengine - INFO - Epoch(val) [66][310/310] acc/top1: 0.6505 acc/top5: 0.8582 acc/mean1: 0.6504 2022/07/23 07:29:59 - mmengine - INFO - Epoch(train) [67][20/3757] lr: 1.0000e-03 eta: 8:18:40 time: 0.3318 data_time: 0.1014 memory: 6108 grad_norm: 7.7072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/07/23 07:30:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:30:04 - mmengine - INFO - Epoch(train) [67][40/3757] lr: 1.0000e-03 eta: 8:18:35 time: 0.2260 data_time: 0.0180 memory: 6108 grad_norm: 7.7571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3627 loss: 1.3627 2022/07/23 07:30:08 - mmengine - INFO - Epoch(train) [67][60/3757] lr: 1.0000e-03 eta: 8:18:30 time: 0.2333 data_time: 0.0267 memory: 6108 grad_norm: 7.6855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1446 loss: 1.1446 2022/07/23 07:30:13 - mmengine - INFO - Epoch(train) [67][80/3757] lr: 1.0000e-03 eta: 8:18:26 time: 0.2477 data_time: 0.0162 memory: 6108 grad_norm: 7.7187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3437 loss: 1.3437 2022/07/23 07:30:18 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 1.0000e-03 eta: 8:18:21 time: 0.2230 data_time: 0.0219 memory: 6108 grad_norm: 7.7052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1878 loss: 1.1878 2022/07/23 07:30:23 - mmengine - INFO - Epoch(train) [67][120/3757] lr: 1.0000e-03 eta: 8:18:16 time: 0.2448 data_time: 0.0199 memory: 6108 grad_norm: 7.8053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4392 loss: 1.4392 2022/07/23 07:30:27 - mmengine - INFO - Epoch(train) [67][140/3757] lr: 1.0000e-03 eta: 8:18:12 time: 0.2261 data_time: 0.0211 memory: 6108 grad_norm: 7.9794 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/07/23 07:30:32 - mmengine - INFO - Epoch(train) [67][160/3757] lr: 1.0000e-03 eta: 8:18:07 time: 0.2253 data_time: 0.0212 memory: 6108 grad_norm: 7.8602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4794 loss: 1.4794 2022/07/23 07:30:36 - mmengine - INFO - Epoch(train) [67][180/3757] lr: 1.0000e-03 eta: 8:18:02 time: 0.2282 data_time: 0.0264 memory: 6108 grad_norm: 7.7141 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/07/23 07:30:41 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 1.0000e-03 eta: 8:17:57 time: 0.2348 data_time: 0.0238 memory: 6108 grad_norm: 7.8887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3254 loss: 1.3254 2022/07/23 07:30:46 - mmengine - INFO - Epoch(train) [67][220/3757] lr: 1.0000e-03 eta: 8:17:53 time: 0.2345 data_time: 0.0240 memory: 6108 grad_norm: 7.6619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2575 loss: 1.2575 2022/07/23 07:30:51 - mmengine - INFO - Epoch(train) [67][240/3757] lr: 1.0000e-03 eta: 8:17:48 time: 0.2388 data_time: 0.0278 memory: 6108 grad_norm: 7.8569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1913 loss: 1.1913 2022/07/23 07:30:55 - mmengine - INFO - Epoch(train) [67][260/3757] lr: 1.0000e-03 eta: 8:17:43 time: 0.2288 data_time: 0.0243 memory: 6108 grad_norm: 7.7917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4462 loss: 1.4462 2022/07/23 07:31:00 - mmengine - INFO - Epoch(train) [67][280/3757] lr: 1.0000e-03 eta: 8:17:39 time: 0.2452 data_time: 0.0340 memory: 6108 grad_norm: 7.7498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6671 loss: 1.6671 2022/07/23 07:31:05 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 1.0000e-03 eta: 8:17:34 time: 0.2309 data_time: 0.0223 memory: 6108 grad_norm: 7.8214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3047 loss: 1.3047 2022/07/23 07:31:09 - mmengine - INFO - Epoch(train) [67][320/3757] lr: 1.0000e-03 eta: 8:17:29 time: 0.2341 data_time: 0.0238 memory: 6108 grad_norm: 7.6544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/07/23 07:31:14 - mmengine - INFO - Epoch(train) [67][340/3757] lr: 1.0000e-03 eta: 8:17:25 time: 0.2306 data_time: 0.0289 memory: 6108 grad_norm: 8.0051 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3730 loss: 1.3730 2022/07/23 07:31:19 - mmengine - INFO - Epoch(train) [67][360/3757] lr: 1.0000e-03 eta: 8:17:20 time: 0.2332 data_time: 0.0252 memory: 6108 grad_norm: 7.7428 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2061 loss: 1.2061 2022/07/23 07:31:23 - mmengine - INFO - Epoch(train) [67][380/3757] lr: 1.0000e-03 eta: 8:17:15 time: 0.2290 data_time: 0.0265 memory: 6108 grad_norm: 8.0804 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3717 loss: 1.3717 2022/07/23 07:31:28 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 1.0000e-03 eta: 8:17:10 time: 0.2278 data_time: 0.0250 memory: 6108 grad_norm: 7.8041 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3865 loss: 1.3865 2022/07/23 07:31:33 - mmengine - INFO - Epoch(train) [67][420/3757] lr: 1.0000e-03 eta: 8:17:06 time: 0.2342 data_time: 0.0267 memory: 6108 grad_norm: 7.9762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4094 loss: 1.4094 2022/07/23 07:31:37 - mmengine - INFO - Epoch(train) [67][440/3757] lr: 1.0000e-03 eta: 8:17:01 time: 0.2325 data_time: 0.0205 memory: 6108 grad_norm: 7.4922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/07/23 07:31:42 - mmengine - INFO - Epoch(train) [67][460/3757] lr: 1.0000e-03 eta: 8:16:56 time: 0.2371 data_time: 0.0229 memory: 6108 grad_norm: 7.7855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4704 loss: 1.4704 2022/07/23 07:31:47 - mmengine - INFO - Epoch(train) [67][480/3757] lr: 1.0000e-03 eta: 8:16:52 time: 0.2409 data_time: 0.0224 memory: 6108 grad_norm: 7.9715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3632 loss: 1.3632 2022/07/23 07:31:52 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 1.0000e-03 eta: 8:16:47 time: 0.2639 data_time: 0.0254 memory: 6108 grad_norm: 7.8601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2344 loss: 1.2344 2022/07/23 07:31:57 - mmengine - INFO - Epoch(train) [67][520/3757] lr: 1.0000e-03 eta: 8:16:43 time: 0.2355 data_time: 0.0226 memory: 6108 grad_norm: 7.7433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2230 loss: 1.2230 2022/07/23 07:32:02 - mmengine - INFO - Epoch(train) [67][540/3757] lr: 1.0000e-03 eta: 8:16:38 time: 0.2346 data_time: 0.0259 memory: 6108 grad_norm: 7.7418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/07/23 07:32:06 - mmengine - INFO - Epoch(train) [67][560/3757] lr: 1.0000e-03 eta: 8:16:33 time: 0.2319 data_time: 0.0228 memory: 6108 grad_norm: 7.7066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3254 loss: 1.3254 2022/07/23 07:32:11 - mmengine - INFO - Epoch(train) [67][580/3757] lr: 1.0000e-03 eta: 8:16:29 time: 0.2242 data_time: 0.0217 memory: 6108 grad_norm: 7.6409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3672 loss: 1.3672 2022/07/23 07:32:15 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 1.0000e-03 eta: 8:16:24 time: 0.2283 data_time: 0.0204 memory: 6108 grad_norm: 7.8440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5036 loss: 1.5036 2022/07/23 07:32:20 - mmengine - INFO - Epoch(train) [67][620/3757] lr: 1.0000e-03 eta: 8:16:19 time: 0.2291 data_time: 0.0184 memory: 6108 grad_norm: 7.9234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/07/23 07:32:25 - mmengine - INFO - Epoch(train) [67][640/3757] lr: 1.0000e-03 eta: 8:16:14 time: 0.2342 data_time: 0.0261 memory: 6108 grad_norm: 7.8555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4069 loss: 1.4069 2022/07/23 07:32:29 - mmengine - INFO - Epoch(train) [67][660/3757] lr: 1.0000e-03 eta: 8:16:10 time: 0.2337 data_time: 0.0211 memory: 6108 grad_norm: 7.6710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1885 loss: 1.1885 2022/07/23 07:32:34 - mmengine - INFO - Epoch(train) [67][680/3757] lr: 1.0000e-03 eta: 8:16:05 time: 0.2367 data_time: 0.0191 memory: 6108 grad_norm: 7.7849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5495 loss: 1.5495 2022/07/23 07:32:39 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 1.0000e-03 eta: 8:16:01 time: 0.2555 data_time: 0.0226 memory: 6108 grad_norm: 7.7619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2565 loss: 1.2565 2022/07/23 07:32:44 - mmengine - INFO - Epoch(train) [67][720/3757] lr: 1.0000e-03 eta: 8:15:56 time: 0.2216 data_time: 0.0250 memory: 6108 grad_norm: 7.3055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/07/23 07:32:49 - mmengine - INFO - Epoch(train) [67][740/3757] lr: 1.0000e-03 eta: 8:15:51 time: 0.2428 data_time: 0.0203 memory: 6108 grad_norm: 7.9982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/07/23 07:32:53 - mmengine - INFO - Epoch(train) [67][760/3757] lr: 1.0000e-03 eta: 8:15:46 time: 0.2331 data_time: 0.0202 memory: 6108 grad_norm: 7.6694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3575 loss: 1.3575 2022/07/23 07:32:58 - mmengine - INFO - Epoch(train) [67][780/3757] lr: 1.0000e-03 eta: 8:15:42 time: 0.2287 data_time: 0.0226 memory: 6108 grad_norm: 8.2333 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7630 loss: 1.7630 2022/07/23 07:33:03 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 1.0000e-03 eta: 8:15:37 time: 0.2409 data_time: 0.0218 memory: 6108 grad_norm: 7.7779 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2027 loss: 1.2027 2022/07/23 07:33:07 - mmengine - INFO - Epoch(train) [67][820/3757] lr: 1.0000e-03 eta: 8:15:32 time: 0.2277 data_time: 0.0275 memory: 6108 grad_norm: 7.7372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/07/23 07:33:12 - mmengine - INFO - Epoch(train) [67][840/3757] lr: 1.0000e-03 eta: 8:15:28 time: 0.2329 data_time: 0.0203 memory: 6108 grad_norm: 7.7818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/07/23 07:33:17 - mmengine - INFO - Epoch(train) [67][860/3757] lr: 1.0000e-03 eta: 8:15:23 time: 0.2322 data_time: 0.0271 memory: 6108 grad_norm: 8.0959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8342 loss: 1.8342 2022/07/23 07:33:22 - mmengine - INFO - Epoch(train) [67][880/3757] lr: 1.0000e-03 eta: 8:15:18 time: 0.2459 data_time: 0.0215 memory: 6108 grad_norm: 7.6922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3841 loss: 1.3841 2022/07/23 07:33:26 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 1.0000e-03 eta: 8:15:14 time: 0.2270 data_time: 0.0217 memory: 6108 grad_norm: 7.6402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/07/23 07:33:31 - mmengine - INFO - Epoch(train) [67][920/3757] lr: 1.0000e-03 eta: 8:15:09 time: 0.2312 data_time: 0.0195 memory: 6108 grad_norm: 7.8662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0462 loss: 1.0462 2022/07/23 07:33:35 - mmengine - INFO - Epoch(train) [67][940/3757] lr: 1.0000e-03 eta: 8:15:04 time: 0.2283 data_time: 0.0226 memory: 6108 grad_norm: 7.8916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3985 loss: 1.3985 2022/07/23 07:33:40 - mmengine - INFO - Epoch(train) [67][960/3757] lr: 1.0000e-03 eta: 8:15:00 time: 0.2414 data_time: 0.0248 memory: 6108 grad_norm: 7.8193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/07/23 07:33:45 - mmengine - INFO - Epoch(train) [67][980/3757] lr: 1.0000e-03 eta: 8:14:55 time: 0.2339 data_time: 0.0190 memory: 6108 grad_norm: 7.7842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4786 loss: 1.4786 2022/07/23 07:33:50 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 1.0000e-03 eta: 8:14:50 time: 0.2299 data_time: 0.0275 memory: 6108 grad_norm: 7.7337 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2517 loss: 1.2517 2022/07/23 07:33:54 - mmengine - INFO - Epoch(train) [67][1020/3757] lr: 1.0000e-03 eta: 8:14:45 time: 0.2327 data_time: 0.0298 memory: 6108 grad_norm: 7.9413 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3705 loss: 1.3705 2022/07/23 07:33:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:33:59 - mmengine - INFO - Epoch(train) [67][1040/3757] lr: 1.0000e-03 eta: 8:14:41 time: 0.2422 data_time: 0.0196 memory: 6108 grad_norm: 7.6797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3405 loss: 1.3405 2022/07/23 07:34:04 - mmengine - INFO - Epoch(train) [67][1060/3757] lr: 1.0000e-03 eta: 8:14:36 time: 0.2352 data_time: 0.0250 memory: 6108 grad_norm: 7.8634 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7182 loss: 1.7182 2022/07/23 07:34:09 - mmengine - INFO - Epoch(train) [67][1080/3757] lr: 1.0000e-03 eta: 8:14:31 time: 0.2285 data_time: 0.0256 memory: 6108 grad_norm: 7.8208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1450 loss: 1.1450 2022/07/23 07:34:13 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 1.0000e-03 eta: 8:14:27 time: 0.2310 data_time: 0.0213 memory: 6108 grad_norm: 7.8206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2485 loss: 1.2485 2022/07/23 07:34:18 - mmengine - INFO - Epoch(train) [67][1120/3757] lr: 1.0000e-03 eta: 8:14:22 time: 0.2273 data_time: 0.0207 memory: 6108 grad_norm: 8.0432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2914 loss: 1.2914 2022/07/23 07:34:23 - mmengine - INFO - Epoch(train) [67][1140/3757] lr: 1.0000e-03 eta: 8:14:17 time: 0.2572 data_time: 0.0236 memory: 6108 grad_norm: 7.4051 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2620 loss: 1.2620 2022/07/23 07:34:27 - mmengine - INFO - Epoch(train) [67][1160/3757] lr: 1.0000e-03 eta: 8:14:13 time: 0.2245 data_time: 0.0189 memory: 6108 grad_norm: 7.7019 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1400 loss: 1.1400 2022/07/23 07:34:32 - mmengine - INFO - Epoch(train) [67][1180/3757] lr: 1.0000e-03 eta: 8:14:08 time: 0.2329 data_time: 0.0231 memory: 6108 grad_norm: 7.7399 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3575 loss: 1.3575 2022/07/23 07:34:37 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 1.0000e-03 eta: 8:14:03 time: 0.2331 data_time: 0.0253 memory: 6108 grad_norm: 7.7083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/07/23 07:34:41 - mmengine - INFO - Epoch(train) [67][1220/3757] lr: 1.0000e-03 eta: 8:13:59 time: 0.2336 data_time: 0.0260 memory: 6108 grad_norm: 7.7154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3594 loss: 1.3594 2022/07/23 07:34:46 - mmengine - INFO - Epoch(train) [67][1240/3757] lr: 1.0000e-03 eta: 8:13:54 time: 0.2333 data_time: 0.0274 memory: 6108 grad_norm: 7.7982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4803 loss: 1.4803 2022/07/23 07:34:51 - mmengine - INFO - Epoch(train) [67][1260/3757] lr: 1.0000e-03 eta: 8:13:49 time: 0.2460 data_time: 0.0207 memory: 6108 grad_norm: 7.8618 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3590 loss: 1.3590 2022/07/23 07:34:56 - mmengine - INFO - Epoch(train) [67][1280/3757] lr: 1.0000e-03 eta: 8:13:45 time: 0.2315 data_time: 0.0270 memory: 6108 grad_norm: 7.8032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4586 loss: 1.4586 2022/07/23 07:35:00 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 1.0000e-03 eta: 8:13:40 time: 0.2359 data_time: 0.0248 memory: 6108 grad_norm: 7.7889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4874 loss: 1.4874 2022/07/23 07:35:05 - mmengine - INFO - Epoch(train) [67][1320/3757] lr: 1.0000e-03 eta: 8:13:35 time: 0.2288 data_time: 0.0265 memory: 6108 grad_norm: 7.5711 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1534 loss: 1.1534 2022/07/23 07:35:10 - mmengine - INFO - Epoch(train) [67][1340/3757] lr: 1.0000e-03 eta: 8:13:30 time: 0.2272 data_time: 0.0218 memory: 6108 grad_norm: 7.7459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/07/23 07:35:15 - mmengine - INFO - Epoch(train) [67][1360/3757] lr: 1.0000e-03 eta: 8:13:26 time: 0.2535 data_time: 0.0197 memory: 6108 grad_norm: 8.0164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4637 loss: 1.4637 2022/07/23 07:35:19 - mmengine - INFO - Epoch(train) [67][1380/3757] lr: 1.0000e-03 eta: 8:13:21 time: 0.2263 data_time: 0.0218 memory: 6108 grad_norm: 7.7020 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2985 loss: 1.2985 2022/07/23 07:35:24 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 1.0000e-03 eta: 8:13:16 time: 0.2268 data_time: 0.0229 memory: 6108 grad_norm: 7.8000 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1777 loss: 1.1777 2022/07/23 07:35:29 - mmengine - INFO - Epoch(train) [67][1420/3757] lr: 1.0000e-03 eta: 8:13:12 time: 0.2357 data_time: 0.0229 memory: 6108 grad_norm: 7.6328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5828 loss: 1.5828 2022/07/23 07:35:33 - mmengine - INFO - Epoch(train) [67][1440/3757] lr: 1.0000e-03 eta: 8:13:07 time: 0.2303 data_time: 0.0224 memory: 6108 grad_norm: 7.7522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4987 loss: 1.4987 2022/07/23 07:35:38 - mmengine - INFO - Epoch(train) [67][1460/3757] lr: 1.0000e-03 eta: 8:13:02 time: 0.2301 data_time: 0.0218 memory: 6108 grad_norm: 7.9121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/07/23 07:35:43 - mmengine - INFO - Epoch(train) [67][1480/3757] lr: 1.0000e-03 eta: 8:12:58 time: 0.2552 data_time: 0.0223 memory: 6108 grad_norm: 7.8476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2629 loss: 1.2629 2022/07/23 07:35:47 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 1.0000e-03 eta: 8:12:53 time: 0.2249 data_time: 0.0196 memory: 6108 grad_norm: 8.1776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3971 loss: 1.3971 2022/07/23 07:35:52 - mmengine - INFO - Epoch(train) [67][1520/3757] lr: 1.0000e-03 eta: 8:12:48 time: 0.2410 data_time: 0.0195 memory: 6108 grad_norm: 7.8612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3140 loss: 1.3140 2022/07/23 07:35:57 - mmengine - INFO - Epoch(train) [67][1540/3757] lr: 1.0000e-03 eta: 8:12:44 time: 0.2324 data_time: 0.0270 memory: 6108 grad_norm: 7.8695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/07/23 07:36:02 - mmengine - INFO - Epoch(train) [67][1560/3757] lr: 1.0000e-03 eta: 8:12:39 time: 0.2381 data_time: 0.0199 memory: 6108 grad_norm: 7.9010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2402 loss: 1.2402 2022/07/23 07:36:07 - mmengine - INFO - Epoch(train) [67][1580/3757] lr: 1.0000e-03 eta: 8:12:35 time: 0.2461 data_time: 0.0170 memory: 6108 grad_norm: 7.8754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2805 loss: 1.2805 2022/07/23 07:36:11 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 1.0000e-03 eta: 8:12:30 time: 0.2328 data_time: 0.0252 memory: 6108 grad_norm: 8.0041 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3414 loss: 1.3414 2022/07/23 07:36:16 - mmengine - INFO - Epoch(train) [67][1620/3757] lr: 1.0000e-03 eta: 8:12:25 time: 0.2312 data_time: 0.0191 memory: 6108 grad_norm: 7.9995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2676 loss: 1.2676 2022/07/23 07:36:21 - mmengine - INFO - Epoch(train) [67][1640/3757] lr: 1.0000e-03 eta: 8:12:20 time: 0.2373 data_time: 0.0186 memory: 6108 grad_norm: 7.7412 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5083 loss: 1.5083 2022/07/23 07:36:25 - mmengine - INFO - Epoch(train) [67][1660/3757] lr: 1.0000e-03 eta: 8:12:16 time: 0.2294 data_time: 0.0255 memory: 6108 grad_norm: 7.8870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4211 loss: 1.4211 2022/07/23 07:36:30 - mmengine - INFO - Epoch(train) [67][1680/3757] lr: 1.0000e-03 eta: 8:12:11 time: 0.2291 data_time: 0.0181 memory: 6108 grad_norm: 7.7634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2048 loss: 1.2048 2022/07/23 07:36:35 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 1.0000e-03 eta: 8:12:06 time: 0.2277 data_time: 0.0224 memory: 6108 grad_norm: 7.7827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4792 loss: 1.4792 2022/07/23 07:36:40 - mmengine - INFO - Epoch(train) [67][1720/3757] lr: 1.0000e-03 eta: 8:12:02 time: 0.2487 data_time: 0.0262 memory: 6108 grad_norm: 7.8175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5047 loss: 1.5047 2022/07/23 07:36:44 - mmengine - INFO - Epoch(train) [67][1740/3757] lr: 1.0000e-03 eta: 8:11:57 time: 0.2297 data_time: 0.0261 memory: 6108 grad_norm: 8.2254 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3475 loss: 1.3475 2022/07/23 07:36:49 - mmengine - INFO - Epoch(train) [67][1760/3757] lr: 1.0000e-03 eta: 8:11:52 time: 0.2302 data_time: 0.0167 memory: 6108 grad_norm: 7.8850 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6027 loss: 1.6027 2022/07/23 07:36:54 - mmengine - INFO - Epoch(train) [67][1780/3757] lr: 1.0000e-03 eta: 8:11:48 time: 0.2342 data_time: 0.0283 memory: 6108 grad_norm: 7.8817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4812 loss: 1.4812 2022/07/23 07:36:58 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 1.0000e-03 eta: 8:11:43 time: 0.2281 data_time: 0.0182 memory: 6108 grad_norm: 7.8395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4746 loss: 1.4746 2022/07/23 07:37:03 - mmengine - INFO - Epoch(train) [67][1820/3757] lr: 1.0000e-03 eta: 8:11:38 time: 0.2390 data_time: 0.0255 memory: 6108 grad_norm: 8.0408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4165 loss: 1.4165 2022/07/23 07:37:08 - mmengine - INFO - Epoch(train) [67][1840/3757] lr: 1.0000e-03 eta: 8:11:33 time: 0.2306 data_time: 0.0306 memory: 6108 grad_norm: 8.0069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4571 loss: 1.4571 2022/07/23 07:37:12 - mmengine - INFO - Epoch(train) [67][1860/3757] lr: 1.0000e-03 eta: 8:11:29 time: 0.2316 data_time: 0.0221 memory: 6108 grad_norm: 7.5495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4401 loss: 1.4401 2022/07/23 07:37:17 - mmengine - INFO - Epoch(train) [67][1880/3757] lr: 1.0000e-03 eta: 8:11:24 time: 0.2418 data_time: 0.0171 memory: 6108 grad_norm: 8.0591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4663 loss: 1.4663 2022/07/23 07:37:22 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 1.0000e-03 eta: 8:11:19 time: 0.2269 data_time: 0.0247 memory: 6108 grad_norm: 7.7982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/07/23 07:37:26 - mmengine - INFO - Epoch(train) [67][1920/3757] lr: 1.0000e-03 eta: 8:11:15 time: 0.2285 data_time: 0.0203 memory: 6108 grad_norm: 7.9485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4954 loss: 1.4954 2022/07/23 07:37:31 - mmengine - INFO - Epoch(train) [67][1940/3757] lr: 1.0000e-03 eta: 8:11:10 time: 0.2427 data_time: 0.0204 memory: 6108 grad_norm: 7.8910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2432 loss: 1.2432 2022/07/23 07:37:36 - mmengine - INFO - Epoch(train) [67][1960/3757] lr: 1.0000e-03 eta: 8:11:05 time: 0.2280 data_time: 0.0206 memory: 6108 grad_norm: 7.8380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2962 loss: 1.2962 2022/07/23 07:37:40 - mmengine - INFO - Epoch(train) [67][1980/3757] lr: 1.0000e-03 eta: 8:11:01 time: 0.2349 data_time: 0.0222 memory: 6108 grad_norm: 7.9956 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4145 loss: 1.4145 2022/07/23 07:37:46 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 1.0000e-03 eta: 8:10:56 time: 0.2620 data_time: 0.0213 memory: 6108 grad_norm: 7.9977 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5201 loss: 1.5201 2022/07/23 07:37:51 - mmengine - INFO - Epoch(train) [67][2020/3757] lr: 1.0000e-03 eta: 8:10:52 time: 0.2456 data_time: 0.0384 memory: 6108 grad_norm: 7.8409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4518 loss: 1.4518 2022/07/23 07:37:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:37:55 - mmengine - INFO - Epoch(train) [67][2040/3757] lr: 1.0000e-03 eta: 8:10:47 time: 0.2294 data_time: 0.0246 memory: 6108 grad_norm: 7.6654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2407 loss: 1.2407 2022/07/23 07:38:00 - mmengine - INFO - Epoch(train) [67][2060/3757] lr: 1.0000e-03 eta: 8:10:42 time: 0.2385 data_time: 0.0197 memory: 6108 grad_norm: 7.5197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/07/23 07:38:05 - mmengine - INFO - Epoch(train) [67][2080/3757] lr: 1.0000e-03 eta: 8:10:38 time: 0.2331 data_time: 0.0223 memory: 6108 grad_norm: 7.5797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2390 loss: 1.2390 2022/07/23 07:38:10 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 1.0000e-03 eta: 8:10:33 time: 0.2505 data_time: 0.0165 memory: 6108 grad_norm: 7.6703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1708 loss: 1.1708 2022/07/23 07:38:14 - mmengine - INFO - Epoch(train) [67][2120/3757] lr: 1.0000e-03 eta: 8:10:28 time: 0.2278 data_time: 0.0193 memory: 6108 grad_norm: 7.9560 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4579 loss: 1.4579 2022/07/23 07:38:19 - mmengine - INFO - Epoch(train) [67][2140/3757] lr: 1.0000e-03 eta: 8:10:24 time: 0.2358 data_time: 0.0239 memory: 6108 grad_norm: 7.6866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2776 loss: 1.2776 2022/07/23 07:38:24 - mmengine - INFO - Epoch(train) [67][2160/3757] lr: 1.0000e-03 eta: 8:10:19 time: 0.2273 data_time: 0.0197 memory: 6108 grad_norm: 7.9867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3752 loss: 1.3752 2022/07/23 07:38:28 - mmengine - INFO - Epoch(train) [67][2180/3757] lr: 1.0000e-03 eta: 8:10:14 time: 0.2282 data_time: 0.0204 memory: 6108 grad_norm: 7.6648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/07/23 07:38:33 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 1.0000e-03 eta: 8:10:09 time: 0.2415 data_time: 0.0292 memory: 6108 grad_norm: 8.1641 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3062 loss: 1.3062 2022/07/23 07:38:38 - mmengine - INFO - Epoch(train) [67][2220/3757] lr: 1.0000e-03 eta: 8:10:05 time: 0.2311 data_time: 0.0172 memory: 6108 grad_norm: 8.0588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6194 loss: 1.6194 2022/07/23 07:38:43 - mmengine - INFO - Epoch(train) [67][2240/3757] lr: 1.0000e-03 eta: 8:10:00 time: 0.2355 data_time: 0.0199 memory: 6108 grad_norm: 7.8962 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/07/23 07:38:47 - mmengine - INFO - Epoch(train) [67][2260/3757] lr: 1.0000e-03 eta: 8:09:55 time: 0.2312 data_time: 0.0268 memory: 6108 grad_norm: 7.8297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4471 loss: 1.4471 2022/07/23 07:38:52 - mmengine - INFO - Epoch(train) [67][2280/3757] lr: 1.0000e-03 eta: 8:09:51 time: 0.2320 data_time: 0.0234 memory: 6108 grad_norm: 8.0442 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2741 loss: 1.2741 2022/07/23 07:38:56 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 1.0000e-03 eta: 8:09:46 time: 0.2284 data_time: 0.0238 memory: 6108 grad_norm: 7.7891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/07/23 07:39:01 - mmengine - INFO - Epoch(train) [67][2320/3757] lr: 1.0000e-03 eta: 8:09:41 time: 0.2346 data_time: 0.0295 memory: 6108 grad_norm: 7.9371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3562 loss: 1.3562 2022/07/23 07:39:06 - mmengine - INFO - Epoch(train) [67][2340/3757] lr: 1.0000e-03 eta: 8:09:36 time: 0.2259 data_time: 0.0193 memory: 6108 grad_norm: 8.0031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/07/23 07:39:10 - mmengine - INFO - Epoch(train) [67][2360/3757] lr: 1.0000e-03 eta: 8:09:32 time: 0.2375 data_time: 0.0244 memory: 6108 grad_norm: 7.6956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4350 loss: 1.4350 2022/07/23 07:39:15 - mmengine - INFO - Epoch(train) [67][2380/3757] lr: 1.0000e-03 eta: 8:09:27 time: 0.2307 data_time: 0.0229 memory: 6108 grad_norm: 7.9775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4873 loss: 1.4873 2022/07/23 07:39:20 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 1.0000e-03 eta: 8:09:23 time: 0.2453 data_time: 0.0245 memory: 6108 grad_norm: 8.1512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5879 loss: 1.5879 2022/07/23 07:39:25 - mmengine - INFO - Epoch(train) [67][2420/3757] lr: 1.0000e-03 eta: 8:09:18 time: 0.2242 data_time: 0.0182 memory: 6108 grad_norm: 8.0436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4829 loss: 1.4829 2022/07/23 07:39:29 - mmengine - INFO - Epoch(train) [67][2440/3757] lr: 1.0000e-03 eta: 8:09:13 time: 0.2375 data_time: 0.0249 memory: 6108 grad_norm: 7.7418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/07/23 07:39:34 - mmengine - INFO - Epoch(train) [67][2460/3757] lr: 1.0000e-03 eta: 8:09:08 time: 0.2304 data_time: 0.0242 memory: 6108 grad_norm: 7.7635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1638 loss: 1.1638 2022/07/23 07:39:38 - mmengine - INFO - Epoch(train) [67][2480/3757] lr: 1.0000e-03 eta: 8:09:04 time: 0.2266 data_time: 0.0229 memory: 6108 grad_norm: 7.8715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/07/23 07:39:43 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 1.0000e-03 eta: 8:08:59 time: 0.2400 data_time: 0.0243 memory: 6108 grad_norm: 7.5449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2660 loss: 1.2660 2022/07/23 07:39:48 - mmengine - INFO - Epoch(train) [67][2520/3757] lr: 1.0000e-03 eta: 8:08:54 time: 0.2287 data_time: 0.0196 memory: 6108 grad_norm: 8.2083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5531 loss: 1.5531 2022/07/23 07:39:52 - mmengine - INFO - Epoch(train) [67][2540/3757] lr: 1.0000e-03 eta: 8:08:49 time: 0.2276 data_time: 0.0204 memory: 6108 grad_norm: 7.7143 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6814 loss: 1.6814 2022/07/23 07:39:57 - mmengine - INFO - Epoch(train) [67][2560/3757] lr: 1.0000e-03 eta: 8:08:45 time: 0.2304 data_time: 0.0206 memory: 6108 grad_norm: 7.9683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2213 loss: 1.2213 2022/07/23 07:40:02 - mmengine - INFO - Epoch(train) [67][2580/3757] lr: 1.0000e-03 eta: 8:08:40 time: 0.2344 data_time: 0.0245 memory: 6108 grad_norm: 7.9865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/23 07:40:06 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 1.0000e-03 eta: 8:08:35 time: 0.2316 data_time: 0.0184 memory: 6108 grad_norm: 7.9732 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3379 loss: 1.3379 2022/07/23 07:40:11 - mmengine - INFO - Epoch(train) [67][2620/3757] lr: 1.0000e-03 eta: 8:08:31 time: 0.2420 data_time: 0.0254 memory: 6108 grad_norm: 8.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2216 loss: 1.2216 2022/07/23 07:40:16 - mmengine - INFO - Epoch(train) [67][2640/3757] lr: 1.0000e-03 eta: 8:08:26 time: 0.2279 data_time: 0.0173 memory: 6108 grad_norm: 7.5678 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4470 loss: 1.4470 2022/07/23 07:40:21 - mmengine - INFO - Epoch(train) [67][2660/3757] lr: 1.0000e-03 eta: 8:08:21 time: 0.2281 data_time: 0.0206 memory: 6108 grad_norm: 7.7540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/07/23 07:40:26 - mmengine - INFO - Epoch(train) [67][2680/3757] lr: 1.0000e-03 eta: 8:08:17 time: 0.2555 data_time: 0.0211 memory: 6108 grad_norm: 7.7498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3359 loss: 1.3359 2022/07/23 07:40:31 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 1.0000e-03 eta: 8:08:12 time: 0.2448 data_time: 0.0174 memory: 6108 grad_norm: 7.9354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2798 loss: 1.2798 2022/07/23 07:40:35 - mmengine - INFO - Epoch(train) [67][2720/3757] lr: 1.0000e-03 eta: 8:08:07 time: 0.2268 data_time: 0.0233 memory: 6108 grad_norm: 7.9570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5301 loss: 1.5301 2022/07/23 07:40:40 - mmengine - INFO - Epoch(train) [67][2740/3757] lr: 1.0000e-03 eta: 8:08:03 time: 0.2335 data_time: 0.0191 memory: 6108 grad_norm: 8.1216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2354 loss: 1.2354 2022/07/23 07:40:45 - mmengine - INFO - Epoch(train) [67][2760/3757] lr: 1.0000e-03 eta: 8:07:58 time: 0.2359 data_time: 0.0260 memory: 6108 grad_norm: 8.2186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4569 loss: 1.4569 2022/07/23 07:40:49 - mmengine - INFO - Epoch(train) [67][2780/3757] lr: 1.0000e-03 eta: 8:07:53 time: 0.2404 data_time: 0.0242 memory: 6108 grad_norm: 7.9915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1117 loss: 1.1117 2022/07/23 07:40:54 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 1.0000e-03 eta: 8:07:49 time: 0.2291 data_time: 0.0197 memory: 6108 grad_norm: 8.1752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3357 loss: 1.3357 2022/07/23 07:40:59 - mmengine - INFO - Epoch(train) [67][2820/3757] lr: 1.0000e-03 eta: 8:07:44 time: 0.2283 data_time: 0.0198 memory: 6108 grad_norm: 8.0022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3858 loss: 1.3858 2022/07/23 07:41:03 - mmengine - INFO - Epoch(train) [67][2840/3757] lr: 1.0000e-03 eta: 8:07:39 time: 0.2332 data_time: 0.0293 memory: 6108 grad_norm: 7.8434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4530 loss: 1.4530 2022/07/23 07:41:08 - mmengine - INFO - Epoch(train) [67][2860/3757] lr: 1.0000e-03 eta: 8:07:35 time: 0.2299 data_time: 0.0198 memory: 6108 grad_norm: 7.7748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/07/23 07:41:13 - mmengine - INFO - Epoch(train) [67][2880/3757] lr: 1.0000e-03 eta: 8:07:30 time: 0.2324 data_time: 0.0198 memory: 6108 grad_norm: 7.8131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/07/23 07:41:17 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 1.0000e-03 eta: 8:07:25 time: 0.2270 data_time: 0.0261 memory: 6108 grad_norm: 8.0219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/07/23 07:41:22 - mmengine - INFO - Epoch(train) [67][2920/3757] lr: 1.0000e-03 eta: 8:07:20 time: 0.2431 data_time: 0.0263 memory: 6108 grad_norm: 7.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2783 loss: 1.2783 2022/07/23 07:41:27 - mmengine - INFO - Epoch(train) [67][2940/3757] lr: 1.0000e-03 eta: 8:07:16 time: 0.2273 data_time: 0.0180 memory: 6108 grad_norm: 7.8820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/07/23 07:41:31 - mmengine - INFO - Epoch(train) [67][2960/3757] lr: 1.0000e-03 eta: 8:07:11 time: 0.2357 data_time: 0.0230 memory: 6108 grad_norm: 7.8209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/07/23 07:41:36 - mmengine - INFO - Epoch(train) [67][2980/3757] lr: 1.0000e-03 eta: 8:07:06 time: 0.2292 data_time: 0.0230 memory: 6108 grad_norm: 7.9611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1740 loss: 1.1740 2022/07/23 07:41:41 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 1.0000e-03 eta: 8:07:02 time: 0.2384 data_time: 0.0209 memory: 6108 grad_norm: 7.9964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4397 loss: 1.4397 2022/07/23 07:41:45 - mmengine - INFO - Epoch(train) [67][3020/3757] lr: 1.0000e-03 eta: 8:06:57 time: 0.2285 data_time: 0.0236 memory: 6108 grad_norm: 7.8605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2929 loss: 1.2929 2022/07/23 07:41:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:41:50 - mmengine - INFO - Epoch(train) [67][3040/3757] lr: 1.0000e-03 eta: 8:06:52 time: 0.2422 data_time: 0.0375 memory: 6108 grad_norm: 7.7902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5343 loss: 1.5343 2022/07/23 07:41:55 - mmengine - INFO - Epoch(train) [67][3060/3757] lr: 1.0000e-03 eta: 8:06:48 time: 0.2208 data_time: 0.0157 memory: 6108 grad_norm: 8.1289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3036 loss: 1.3036 2022/07/23 07:42:00 - mmengine - INFO - Epoch(train) [67][3080/3757] lr: 1.0000e-03 eta: 8:06:43 time: 0.2602 data_time: 0.0232 memory: 6108 grad_norm: 8.1049 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3650 loss: 1.3650 2022/07/23 07:42:04 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 1.0000e-03 eta: 8:06:38 time: 0.2279 data_time: 0.0184 memory: 6108 grad_norm: 8.0457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/07/23 07:42:09 - mmengine - INFO - Epoch(train) [67][3120/3757] lr: 1.0000e-03 eta: 8:06:34 time: 0.2367 data_time: 0.0250 memory: 6108 grad_norm: 7.9662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3989 loss: 1.3989 2022/07/23 07:42:14 - mmengine - INFO - Epoch(train) [67][3140/3757] lr: 1.0000e-03 eta: 8:06:29 time: 0.2312 data_time: 0.0286 memory: 6108 grad_norm: 8.0099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4768 loss: 1.4768 2022/07/23 07:42:18 - mmengine - INFO - Epoch(train) [67][3160/3757] lr: 1.0000e-03 eta: 8:06:24 time: 0.2270 data_time: 0.0219 memory: 6108 grad_norm: 8.0465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1433 loss: 1.1433 2022/07/23 07:42:23 - mmengine - INFO - Epoch(train) [67][3180/3757] lr: 1.0000e-03 eta: 8:06:20 time: 0.2442 data_time: 0.0200 memory: 6108 grad_norm: 7.8072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2219 loss: 1.2219 2022/07/23 07:42:28 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 1.0000e-03 eta: 8:06:15 time: 0.2281 data_time: 0.0270 memory: 6108 grad_norm: 7.5843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/07/23 07:42:33 - mmengine - INFO - Epoch(train) [67][3220/3757] lr: 1.0000e-03 eta: 8:06:10 time: 0.2284 data_time: 0.0253 memory: 6108 grad_norm: 7.9005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2266 loss: 1.2266 2022/07/23 07:42:38 - mmengine - INFO - Epoch(train) [67][3240/3757] lr: 1.0000e-03 eta: 8:06:06 time: 0.2510 data_time: 0.0197 memory: 6108 grad_norm: 7.8672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9697 loss: 0.9697 2022/07/23 07:42:42 - mmengine - INFO - Epoch(train) [67][3260/3757] lr: 1.0000e-03 eta: 8:06:01 time: 0.2401 data_time: 0.0234 memory: 6108 grad_norm: 8.0474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4466 loss: 1.4466 2022/07/23 07:42:47 - mmengine - INFO - Epoch(train) [67][3280/3757] lr: 1.0000e-03 eta: 8:05:56 time: 0.2261 data_time: 0.0191 memory: 6108 grad_norm: 7.7602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3717 loss: 1.3717 2022/07/23 07:42:52 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 1.0000e-03 eta: 8:05:52 time: 0.2353 data_time: 0.0211 memory: 6108 grad_norm: 7.7831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3549 loss: 1.3549 2022/07/23 07:42:56 - mmengine - INFO - Epoch(train) [67][3320/3757] lr: 1.0000e-03 eta: 8:05:47 time: 0.2331 data_time: 0.0232 memory: 6108 grad_norm: 8.0145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4303 loss: 1.4303 2022/07/23 07:43:01 - mmengine - INFO - Epoch(train) [67][3340/3757] lr: 1.0000e-03 eta: 8:05:42 time: 0.2455 data_time: 0.0191 memory: 6108 grad_norm: 7.9813 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1588 loss: 1.1588 2022/07/23 07:43:06 - mmengine - INFO - Epoch(train) [67][3360/3757] lr: 1.0000e-03 eta: 8:05:38 time: 0.2280 data_time: 0.0229 memory: 6108 grad_norm: 7.9576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3582 loss: 1.3582 2022/07/23 07:43:10 - mmengine - INFO - Epoch(train) [67][3380/3757] lr: 1.0000e-03 eta: 8:05:33 time: 0.2308 data_time: 0.0231 memory: 6108 grad_norm: 7.7719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2400 loss: 1.2400 2022/07/23 07:43:15 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 1.0000e-03 eta: 8:05:28 time: 0.2309 data_time: 0.0210 memory: 6108 grad_norm: 7.8770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2859 loss: 1.2859 2022/07/23 07:43:20 - mmengine - INFO - Epoch(train) [67][3420/3757] lr: 1.0000e-03 eta: 8:05:24 time: 0.2468 data_time: 0.0248 memory: 6108 grad_norm: 7.9517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5487 loss: 1.5487 2022/07/23 07:43:25 - mmengine - INFO - Epoch(train) [67][3440/3757] lr: 1.0000e-03 eta: 8:05:19 time: 0.2295 data_time: 0.0223 memory: 6108 grad_norm: 7.9324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3417 loss: 1.3417 2022/07/23 07:43:29 - mmengine - INFO - Epoch(train) [67][3460/3757] lr: 1.0000e-03 eta: 8:05:14 time: 0.2305 data_time: 0.0219 memory: 6108 grad_norm: 7.6973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3353 loss: 1.3353 2022/07/23 07:43:34 - mmengine - INFO - Epoch(train) [67][3480/3757] lr: 1.0000e-03 eta: 8:05:09 time: 0.2268 data_time: 0.0223 memory: 6108 grad_norm: 8.0297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4391 loss: 1.4391 2022/07/23 07:43:38 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 1.0000e-03 eta: 8:05:05 time: 0.2274 data_time: 0.0210 memory: 6108 grad_norm: 7.8580 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1743 loss: 1.1743 2022/07/23 07:43:43 - mmengine - INFO - Epoch(train) [67][3520/3757] lr: 1.0000e-03 eta: 8:05:00 time: 0.2478 data_time: 0.0217 memory: 6108 grad_norm: 7.6489 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3454 loss: 1.3454 2022/07/23 07:43:48 - mmengine - INFO - Epoch(train) [67][3540/3757] lr: 1.0000e-03 eta: 8:04:55 time: 0.2286 data_time: 0.0234 memory: 6108 grad_norm: 7.7546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3359 loss: 1.3359 2022/07/23 07:43:53 - mmengine - INFO - Epoch(train) [67][3560/3757] lr: 1.0000e-03 eta: 8:04:51 time: 0.2289 data_time: 0.0262 memory: 6108 grad_norm: 7.9714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3755 loss: 1.3755 2022/07/23 07:43:57 - mmengine - INFO - Epoch(train) [67][3580/3757] lr: 1.0000e-03 eta: 8:04:46 time: 0.2375 data_time: 0.0250 memory: 6108 grad_norm: 7.7861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1181 loss: 1.1181 2022/07/23 07:44:02 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 1.0000e-03 eta: 8:04:41 time: 0.2360 data_time: 0.0222 memory: 6108 grad_norm: 7.8198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2196 loss: 1.2196 2022/07/23 07:44:07 - mmengine - INFO - Epoch(train) [67][3620/3757] lr: 1.0000e-03 eta: 8:04:37 time: 0.2367 data_time: 0.0202 memory: 6108 grad_norm: 7.7924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2976 loss: 1.2976 2022/07/23 07:44:12 - mmengine - INFO - Epoch(train) [67][3640/3757] lr: 1.0000e-03 eta: 8:04:32 time: 0.2318 data_time: 0.0290 memory: 6108 grad_norm: 8.0212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4448 loss: 1.4448 2022/07/23 07:44:16 - mmengine - INFO - Epoch(train) [67][3660/3757] lr: 1.0000e-03 eta: 8:04:27 time: 0.2256 data_time: 0.0279 memory: 6108 grad_norm: 8.0304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3061 loss: 1.3061 2022/07/23 07:44:21 - mmengine - INFO - Epoch(train) [67][3680/3757] lr: 1.0000e-03 eta: 8:04:23 time: 0.2506 data_time: 0.0217 memory: 6108 grad_norm: 7.9281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1169 loss: 1.1169 2022/07/23 07:44:26 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 1.0000e-03 eta: 8:04:18 time: 0.2460 data_time: 0.0259 memory: 6108 grad_norm: 7.8016 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6155 loss: 1.6155 2022/07/23 07:44:31 - mmengine - INFO - Epoch(train) [67][3720/3757] lr: 1.0000e-03 eta: 8:04:13 time: 0.2261 data_time: 0.0202 memory: 6108 grad_norm: 7.7459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/07/23 07:44:35 - mmengine - INFO - Epoch(train) [67][3740/3757] lr: 1.0000e-03 eta: 8:04:09 time: 0.2347 data_time: 0.0234 memory: 6108 grad_norm: 7.6668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2277 loss: 1.2277 2022/07/23 07:44:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:44:39 - mmengine - INFO - Epoch(train) [67][3757/3757] lr: 1.0000e-03 eta: 8:04:09 time: 0.1948 data_time: 0.0149 memory: 6108 grad_norm: 7.7377 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.4237 loss: 1.4237 2022/07/23 07:44:44 - mmengine - INFO - Epoch(val) [67][20/310] eta: 0:01:19 time: 0.2724 data_time: 0.1950 memory: 1428 2022/07/23 07:44:48 - mmengine - INFO - Epoch(val) [67][40/310] eta: 0:00:49 time: 0.1830 data_time: 0.1060 memory: 1428 2022/07/23 07:44:52 - mmengine - INFO - Epoch(val) [67][60/310] eta: 0:00:57 time: 0.2302 data_time: 0.1545 memory: 1428 2022/07/23 07:44:56 - mmengine - INFO - Epoch(val) [67][80/310] eta: 0:00:42 time: 0.1846 data_time: 0.1099 memory: 1428 2022/07/23 07:45:01 - mmengine - INFO - Epoch(val) [67][100/310] eta: 0:00:53 time: 0.2524 data_time: 0.1386 memory: 1428 2022/07/23 07:45:05 - mmengine - INFO - Epoch(val) [67][120/310] eta: 0:00:35 time: 0.1879 data_time: 0.1132 memory: 1428 2022/07/23 07:45:09 - mmengine - INFO - Epoch(val) [67][140/310] eta: 0:00:37 time: 0.2234 data_time: 0.1496 memory: 1428 2022/07/23 07:45:14 - mmengine - INFO - Epoch(val) [67][160/310] eta: 0:00:31 time: 0.2121 data_time: 0.1376 memory: 1428 2022/07/23 07:45:17 - mmengine - INFO - Epoch(val) [67][180/310] eta: 0:00:25 time: 0.1966 data_time: 0.1209 memory: 1428 2022/07/23 07:45:22 - mmengine - INFO - Epoch(val) [67][200/310] eta: 0:00:23 time: 0.2168 data_time: 0.1302 memory: 1428 2022/07/23 07:45:27 - mmengine - INFO - Epoch(val) [67][220/310] eta: 0:00:22 time: 0.2486 data_time: 0.1730 memory: 1428 2022/07/23 07:45:31 - mmengine - INFO - Epoch(val) [67][240/310] eta: 0:00:13 time: 0.1858 data_time: 0.1096 memory: 1428 2022/07/23 07:45:35 - mmengine - INFO - Epoch(val) [67][260/310] eta: 0:00:12 time: 0.2406 data_time: 0.1610 memory: 1428 2022/07/23 07:45:39 - mmengine - INFO - Epoch(val) [67][280/310] eta: 0:00:05 time: 0.1783 data_time: 0.1035 memory: 1428 2022/07/23 07:45:43 - mmengine - INFO - Epoch(val) [67][300/310] eta: 0:00:02 time: 0.2110 data_time: 0.1374 memory: 1428 2022/07/23 07:45:47 - mmengine - INFO - Epoch(val) [67][310/310] acc/top1: 0.6538 acc/top5: 0.8611 acc/mean1: 0.6536 2022/07/23 07:45:53 - mmengine - INFO - Epoch(train) [68][20/3757] lr: 1.0000e-03 eta: 8:03:59 time: 0.3345 data_time: 0.0903 memory: 6108 grad_norm: 7.8137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4198 loss: 1.4198 2022/07/23 07:45:58 - mmengine - INFO - Epoch(train) [68][40/3757] lr: 1.0000e-03 eta: 8:03:54 time: 0.2335 data_time: 0.0307 memory: 6108 grad_norm: 7.6486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/07/23 07:46:03 - mmengine - INFO - Epoch(train) [68][60/3757] lr: 1.0000e-03 eta: 8:03:50 time: 0.2410 data_time: 0.0281 memory: 6108 grad_norm: 7.9339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4791 loss: 1.4791 2022/07/23 07:46:08 - mmengine - INFO - Epoch(train) [68][80/3757] lr: 1.0000e-03 eta: 8:03:45 time: 0.2258 data_time: 0.0195 memory: 6108 grad_norm: 7.9545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/07/23 07:46:12 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 1.0000e-03 eta: 8:03:40 time: 0.2283 data_time: 0.0210 memory: 6108 grad_norm: 7.7004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2500 loss: 1.2500 2022/07/23 07:46:17 - mmengine - INFO - Epoch(train) [68][120/3757] lr: 1.0000e-03 eta: 8:03:35 time: 0.2304 data_time: 0.0215 memory: 6108 grad_norm: 7.6655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3305 loss: 1.3305 2022/07/23 07:46:22 - mmengine - INFO - Epoch(train) [68][140/3757] lr: 1.0000e-03 eta: 8:03:31 time: 0.2608 data_time: 0.0252 memory: 6108 grad_norm: 8.5550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5374 loss: 1.5374 2022/07/23 07:46:27 - mmengine - INFO - Epoch(train) [68][160/3757] lr: 1.0000e-03 eta: 8:03:26 time: 0.2262 data_time: 0.0211 memory: 6108 grad_norm: 7.7131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/07/23 07:46:31 - mmengine - INFO - Epoch(train) [68][180/3757] lr: 1.0000e-03 eta: 8:03:21 time: 0.2323 data_time: 0.0259 memory: 6108 grad_norm: 7.5764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/07/23 07:46:36 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 1.0000e-03 eta: 8:03:17 time: 0.2395 data_time: 0.0177 memory: 6108 grad_norm: 7.8785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/07/23 07:46:41 - mmengine - INFO - Epoch(train) [68][220/3757] lr: 1.0000e-03 eta: 8:03:12 time: 0.2272 data_time: 0.0236 memory: 6108 grad_norm: 8.1490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4638 loss: 1.4638 2022/07/23 07:46:45 - mmengine - INFO - Epoch(train) [68][240/3757] lr: 1.0000e-03 eta: 8:03:07 time: 0.2307 data_time: 0.0227 memory: 6108 grad_norm: 7.5431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/07/23 07:46:50 - mmengine - INFO - Epoch(train) [68][260/3757] lr: 1.0000e-03 eta: 8:03:03 time: 0.2536 data_time: 0.0302 memory: 6108 grad_norm: 7.5825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4240 loss: 1.4240 2022/07/23 07:46:55 - mmengine - INFO - Epoch(train) [68][280/3757] lr: 1.0000e-03 eta: 8:02:58 time: 0.2233 data_time: 0.0201 memory: 6108 grad_norm: 7.8311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6101 loss: 1.6101 2022/07/23 07:46:55 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:46:59 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 1.0000e-03 eta: 8:02:53 time: 0.2283 data_time: 0.0231 memory: 6108 grad_norm: 7.7139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4383 loss: 1.4383 2022/07/23 07:47:04 - mmengine - INFO - Epoch(train) [68][320/3757] lr: 1.0000e-03 eta: 8:02:49 time: 0.2273 data_time: 0.0201 memory: 6108 grad_norm: 7.7848 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/07/23 07:47:09 - mmengine - INFO - Epoch(train) [68][340/3757] lr: 1.0000e-03 eta: 8:02:44 time: 0.2281 data_time: 0.0198 memory: 6108 grad_norm: 7.8496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/07/23 07:47:13 - mmengine - INFO - Epoch(train) [68][360/3757] lr: 1.0000e-03 eta: 8:02:39 time: 0.2379 data_time: 0.0264 memory: 6108 grad_norm: 7.9297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2387 loss: 1.2387 2022/07/23 07:47:18 - mmengine - INFO - Epoch(train) [68][380/3757] lr: 1.0000e-03 eta: 8:02:34 time: 0.2252 data_time: 0.0180 memory: 6108 grad_norm: 7.4112 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4811 loss: 1.4811 2022/07/23 07:47:22 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 1.0000e-03 eta: 8:02:30 time: 0.2269 data_time: 0.0198 memory: 6108 grad_norm: 7.8807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/07/23 07:47:27 - mmengine - INFO - Epoch(train) [68][420/3757] lr: 1.0000e-03 eta: 8:02:25 time: 0.2349 data_time: 0.0282 memory: 6108 grad_norm: 7.6807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3225 loss: 1.3225 2022/07/23 07:47:32 - mmengine - INFO - Epoch(train) [68][440/3757] lr: 1.0000e-03 eta: 8:02:20 time: 0.2405 data_time: 0.0247 memory: 6108 grad_norm: 7.9566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/07/23 07:47:37 - mmengine - INFO - Epoch(train) [68][460/3757] lr: 1.0000e-03 eta: 8:02:16 time: 0.2255 data_time: 0.0181 memory: 6108 grad_norm: 8.0780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/07/23 07:47:41 - mmengine - INFO - Epoch(train) [68][480/3757] lr: 1.0000e-03 eta: 8:02:11 time: 0.2420 data_time: 0.0199 memory: 6108 grad_norm: 7.9783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5221 loss: 1.5221 2022/07/23 07:47:46 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 1.0000e-03 eta: 8:02:06 time: 0.2253 data_time: 0.0178 memory: 6108 grad_norm: 8.3313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5980 loss: 1.5980 2022/07/23 07:47:51 - mmengine - INFO - Epoch(train) [68][520/3757] lr: 1.0000e-03 eta: 8:02:02 time: 0.2637 data_time: 0.0227 memory: 6108 grad_norm: 7.9592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/07/23 07:47:56 - mmengine - INFO - Epoch(train) [68][540/3757] lr: 1.0000e-03 eta: 8:01:57 time: 0.2251 data_time: 0.0227 memory: 6108 grad_norm: 7.8190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/23 07:48:00 - mmengine - INFO - Epoch(train) [68][560/3757] lr: 1.0000e-03 eta: 8:01:52 time: 0.2283 data_time: 0.0243 memory: 6108 grad_norm: 7.7834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8902 loss: 0.8902 2022/07/23 07:48:05 - mmengine - INFO - Epoch(train) [68][580/3757] lr: 1.0000e-03 eta: 8:01:47 time: 0.2227 data_time: 0.0212 memory: 6108 grad_norm: 7.7382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2550 loss: 1.2550 2022/07/23 07:48:09 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 1.0000e-03 eta: 8:01:43 time: 0.2239 data_time: 0.0230 memory: 6108 grad_norm: 7.8148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2710 loss: 1.2710 2022/07/23 07:48:14 - mmengine - INFO - Epoch(train) [68][620/3757] lr: 1.0000e-03 eta: 8:01:38 time: 0.2414 data_time: 0.0246 memory: 6108 grad_norm: 7.8605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2535 loss: 1.2535 2022/07/23 07:48:19 - mmengine - INFO - Epoch(train) [68][640/3757] lr: 1.0000e-03 eta: 8:01:33 time: 0.2310 data_time: 0.0241 memory: 6108 grad_norm: 7.9684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/23 07:48:24 - mmengine - INFO - Epoch(train) [68][660/3757] lr: 1.0000e-03 eta: 8:01:29 time: 0.2456 data_time: 0.0205 memory: 6108 grad_norm: 7.8339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0875 loss: 1.0875 2022/07/23 07:48:28 - mmengine - INFO - Epoch(train) [68][680/3757] lr: 1.0000e-03 eta: 8:01:24 time: 0.2278 data_time: 0.0182 memory: 6108 grad_norm: 7.8163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6173 loss: 1.6173 2022/07/23 07:48:33 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 1.0000e-03 eta: 8:01:19 time: 0.2456 data_time: 0.0224 memory: 6108 grad_norm: 8.2107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4093 loss: 1.4093 2022/07/23 07:48:38 - mmengine - INFO - Epoch(train) [68][720/3757] lr: 1.0000e-03 eta: 8:01:15 time: 0.2422 data_time: 0.0224 memory: 6108 grad_norm: 7.9098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1804 loss: 1.1804 2022/07/23 07:48:43 - mmengine - INFO - Epoch(train) [68][740/3757] lr: 1.0000e-03 eta: 8:01:10 time: 0.2321 data_time: 0.0203 memory: 6108 grad_norm: 7.9473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8329 loss: 1.8329 2022/07/23 07:48:48 - mmengine - INFO - Epoch(train) [68][760/3757] lr: 1.0000e-03 eta: 8:01:05 time: 0.2349 data_time: 0.0204 memory: 6108 grad_norm: 8.0054 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3889 loss: 1.3889 2022/07/23 07:48:53 - mmengine - INFO - Epoch(train) [68][780/3757] lr: 1.0000e-03 eta: 8:01:01 time: 0.2598 data_time: 0.0231 memory: 6108 grad_norm: 7.8929 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/07/23 07:48:57 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 1.0000e-03 eta: 8:00:56 time: 0.2290 data_time: 0.0210 memory: 6108 grad_norm: 7.9166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2224 loss: 1.2224 2022/07/23 07:49:02 - mmengine - INFO - Epoch(train) [68][820/3757] lr: 1.0000e-03 eta: 8:00:52 time: 0.2352 data_time: 0.0236 memory: 6108 grad_norm: 8.0789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/07/23 07:49:07 - mmengine - INFO - Epoch(train) [68][840/3757] lr: 1.0000e-03 eta: 8:00:47 time: 0.2291 data_time: 0.0249 memory: 6108 grad_norm: 7.7967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/07/23 07:49:12 - mmengine - INFO - Epoch(train) [68][860/3757] lr: 1.0000e-03 eta: 8:00:42 time: 0.2530 data_time: 0.0208 memory: 6108 grad_norm: 8.0831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2663 loss: 1.2663 2022/07/23 07:49:16 - mmengine - INFO - Epoch(train) [68][880/3757] lr: 1.0000e-03 eta: 8:00:38 time: 0.2265 data_time: 0.0232 memory: 6108 grad_norm: 8.1975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5292 loss: 1.5292 2022/07/23 07:49:21 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 1.0000e-03 eta: 8:00:33 time: 0.2274 data_time: 0.0229 memory: 6108 grad_norm: 7.7923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0989 loss: 1.0989 2022/07/23 07:49:25 - mmengine - INFO - Epoch(train) [68][920/3757] lr: 1.0000e-03 eta: 8:00:28 time: 0.2297 data_time: 0.0254 memory: 6108 grad_norm: 7.9393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2980 loss: 1.2980 2022/07/23 07:49:30 - mmengine - INFO - Epoch(train) [68][940/3757] lr: 1.0000e-03 eta: 8:00:23 time: 0.2417 data_time: 0.0219 memory: 6108 grad_norm: 7.7139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2552 loss: 1.2552 2022/07/23 07:49:35 - mmengine - INFO - Epoch(train) [68][960/3757] lr: 1.0000e-03 eta: 8:00:19 time: 0.2296 data_time: 0.0226 memory: 6108 grad_norm: 7.9341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3925 loss: 1.3925 2022/07/23 07:49:40 - mmengine - INFO - Epoch(train) [68][980/3757] lr: 1.0000e-03 eta: 8:00:14 time: 0.2301 data_time: 0.0195 memory: 6108 grad_norm: 7.9215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3201 loss: 1.3201 2022/07/23 07:49:44 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 1.0000e-03 eta: 8:00:09 time: 0.2270 data_time: 0.0206 memory: 6108 grad_norm: 7.8721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2943 loss: 1.2943 2022/07/23 07:49:49 - mmengine - INFO - Epoch(train) [68][1020/3757] lr: 1.0000e-03 eta: 8:00:05 time: 0.2275 data_time: 0.0193 memory: 6108 grad_norm: 8.0899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/07/23 07:49:54 - mmengine - INFO - Epoch(train) [68][1040/3757] lr: 1.0000e-03 eta: 8:00:00 time: 0.2660 data_time: 0.0387 memory: 6108 grad_norm: 7.9722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3411 loss: 1.3411 2022/07/23 07:49:59 - mmengine - INFO - Epoch(train) [68][1060/3757] lr: 1.0000e-03 eta: 7:59:55 time: 0.2352 data_time: 0.0381 memory: 6108 grad_norm: 7.6948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2454 loss: 1.2454 2022/07/23 07:50:04 - mmengine - INFO - Epoch(train) [68][1080/3757] lr: 1.0000e-03 eta: 7:59:51 time: 0.2449 data_time: 0.0413 memory: 6108 grad_norm: 7.7045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1896 loss: 1.1896 2022/07/23 07:50:08 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 1.0000e-03 eta: 7:59:46 time: 0.2251 data_time: 0.0173 memory: 6108 grad_norm: 8.2255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/07/23 07:50:13 - mmengine - INFO - Epoch(train) [68][1120/3757] lr: 1.0000e-03 eta: 7:59:42 time: 0.2416 data_time: 0.0240 memory: 6108 grad_norm: 7.6258 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4332 loss: 1.4332 2022/07/23 07:50:18 - mmengine - INFO - Epoch(train) [68][1140/3757] lr: 1.0000e-03 eta: 7:59:37 time: 0.2326 data_time: 0.0300 memory: 6108 grad_norm: 7.9602 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0849 loss: 1.0849 2022/07/23 07:50:22 - mmengine - INFO - Epoch(train) [68][1160/3757] lr: 1.0000e-03 eta: 7:59:32 time: 0.2303 data_time: 0.0239 memory: 6108 grad_norm: 7.8268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/07/23 07:50:27 - mmengine - INFO - Epoch(train) [68][1180/3757] lr: 1.0000e-03 eta: 7:59:27 time: 0.2232 data_time: 0.0208 memory: 6108 grad_norm: 7.8535 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4601 loss: 1.4601 2022/07/23 07:50:32 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 1.0000e-03 eta: 7:59:23 time: 0.2624 data_time: 0.0218 memory: 6108 grad_norm: 7.9438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2209 loss: 1.2209 2022/07/23 07:50:37 - mmengine - INFO - Epoch(train) [68][1220/3757] lr: 1.0000e-03 eta: 7:59:18 time: 0.2289 data_time: 0.0209 memory: 6108 grad_norm: 7.7835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/07/23 07:50:41 - mmengine - INFO - Epoch(train) [68][1240/3757] lr: 1.0000e-03 eta: 7:59:13 time: 0.2232 data_time: 0.0223 memory: 6108 grad_norm: 8.1632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3204 loss: 1.3204 2022/07/23 07:50:46 - mmengine - INFO - Epoch(train) [68][1260/3757] lr: 1.0000e-03 eta: 7:59:09 time: 0.2279 data_time: 0.0230 memory: 6108 grad_norm: 7.9365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2363 loss: 1.2363 2022/07/23 07:50:51 - mmengine - INFO - Epoch(train) [68][1280/3757] lr: 1.0000e-03 eta: 7:59:04 time: 0.2483 data_time: 0.0272 memory: 6108 grad_norm: 7.9709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5090 loss: 1.5090 2022/07/23 07:50:51 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:50:56 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 1.0000e-03 eta: 7:58:59 time: 0.2319 data_time: 0.0197 memory: 6108 grad_norm: 7.8546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2754 loss: 1.2754 2022/07/23 07:51:00 - mmengine - INFO - Epoch(train) [68][1320/3757] lr: 1.0000e-03 eta: 7:58:55 time: 0.2297 data_time: 0.0238 memory: 6108 grad_norm: 7.8613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3645 loss: 1.3645 2022/07/23 07:51:05 - mmengine - INFO - Epoch(train) [68][1340/3757] lr: 1.0000e-03 eta: 7:58:50 time: 0.2323 data_time: 0.0193 memory: 6108 grad_norm: 8.0788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4338 loss: 1.4338 2022/07/23 07:51:10 - mmengine - INFO - Epoch(train) [68][1360/3757] lr: 1.0000e-03 eta: 7:58:45 time: 0.2568 data_time: 0.0210 memory: 6108 grad_norm: 7.7539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/07/23 07:51:15 - mmengine - INFO - Epoch(train) [68][1380/3757] lr: 1.0000e-03 eta: 7:58:41 time: 0.2354 data_time: 0.0307 memory: 6108 grad_norm: 8.0449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/07/23 07:51:19 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 1.0000e-03 eta: 7:58:36 time: 0.2309 data_time: 0.0260 memory: 6108 grad_norm: 7.6330 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1858 loss: 1.1858 2022/07/23 07:51:24 - mmengine - INFO - Epoch(train) [68][1420/3757] lr: 1.0000e-03 eta: 7:58:31 time: 0.2316 data_time: 0.0221 memory: 6108 grad_norm: 7.9912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6570 loss: 1.6570 2022/07/23 07:51:29 - mmengine - INFO - Epoch(train) [68][1440/3757] lr: 1.0000e-03 eta: 7:58:27 time: 0.2254 data_time: 0.0207 memory: 6108 grad_norm: 7.9354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5455 loss: 1.5455 2022/07/23 07:51:34 - mmengine - INFO - Epoch(train) [68][1460/3757] lr: 1.0000e-03 eta: 7:58:22 time: 0.2666 data_time: 0.0171 memory: 6108 grad_norm: 7.8973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/07/23 07:51:38 - mmengine - INFO - Epoch(train) [68][1480/3757] lr: 1.0000e-03 eta: 7:58:17 time: 0.2264 data_time: 0.0220 memory: 6108 grad_norm: 8.2845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4950 loss: 1.4950 2022/07/23 07:51:48 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 1.0000e-03 eta: 7:58:15 time: 0.4634 data_time: 0.0179 memory: 6108 grad_norm: 8.2952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3815 loss: 1.3815 2022/07/23 07:51:53 - mmengine - INFO - Epoch(train) [68][1520/3757] lr: 1.0000e-03 eta: 7:58:10 time: 0.2391 data_time: 0.0294 memory: 6108 grad_norm: 8.1333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2788 loss: 1.2788 2022/07/23 07:51:57 - mmengine - INFO - Epoch(train) [68][1540/3757] lr: 1.0000e-03 eta: 7:58:06 time: 0.2343 data_time: 0.0327 memory: 6108 grad_norm: 7.6836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2356 loss: 1.2356 2022/07/23 07:52:02 - mmengine - INFO - Epoch(train) [68][1560/3757] lr: 1.0000e-03 eta: 7:58:01 time: 0.2295 data_time: 0.0258 memory: 6108 grad_norm: 8.2454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4310 loss: 1.4310 2022/07/23 07:52:07 - mmengine - INFO - Epoch(train) [68][1580/3757] lr: 1.0000e-03 eta: 7:57:56 time: 0.2330 data_time: 0.0252 memory: 6108 grad_norm: 7.6733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3137 loss: 1.3137 2022/07/23 07:52:11 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 1.0000e-03 eta: 7:57:52 time: 0.2391 data_time: 0.0294 memory: 6108 grad_norm: 7.8334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3558 loss: 1.3558 2022/07/23 07:52:16 - mmengine - INFO - Epoch(train) [68][1620/3757] lr: 1.0000e-03 eta: 7:57:47 time: 0.2265 data_time: 0.0228 memory: 6108 grad_norm: 8.0970 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/07/23 07:52:21 - mmengine - INFO - Epoch(train) [68][1640/3757] lr: 1.0000e-03 eta: 7:57:42 time: 0.2320 data_time: 0.0229 memory: 6108 grad_norm: 7.8420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2522 loss: 1.2522 2022/07/23 07:52:25 - mmengine - INFO - Epoch(train) [68][1660/3757] lr: 1.0000e-03 eta: 7:57:37 time: 0.2267 data_time: 0.0261 memory: 6108 grad_norm: 7.8207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/07/23 07:52:30 - mmengine - INFO - Epoch(train) [68][1680/3757] lr: 1.0000e-03 eta: 7:57:33 time: 0.2446 data_time: 0.0197 memory: 6108 grad_norm: 8.0449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/07/23 07:52:35 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 1.0000e-03 eta: 7:57:28 time: 0.2366 data_time: 0.0231 memory: 6108 grad_norm: 7.9475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/23 07:52:39 - mmengine - INFO - Epoch(train) [68][1720/3757] lr: 1.0000e-03 eta: 7:57:23 time: 0.2299 data_time: 0.0248 memory: 6108 grad_norm: 7.7408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/07/23 07:52:44 - mmengine - INFO - Epoch(train) [68][1740/3757] lr: 1.0000e-03 eta: 7:57:19 time: 0.2314 data_time: 0.0231 memory: 6108 grad_norm: 7.8722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3829 loss: 1.3829 2022/07/23 07:52:49 - mmengine - INFO - Epoch(train) [68][1760/3757] lr: 1.0000e-03 eta: 7:57:14 time: 0.2381 data_time: 0.0230 memory: 6108 grad_norm: 8.1328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3603 loss: 1.3603 2022/07/23 07:52:54 - mmengine - INFO - Epoch(train) [68][1780/3757] lr: 1.0000e-03 eta: 7:57:09 time: 0.2450 data_time: 0.0327 memory: 6108 grad_norm: 8.0892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2749 loss: 1.2749 2022/07/23 07:52:59 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 1.0000e-03 eta: 7:57:05 time: 0.2361 data_time: 0.0217 memory: 6108 grad_norm: 7.7197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1080 loss: 1.1080 2022/07/23 07:53:03 - mmengine - INFO - Epoch(train) [68][1820/3757] lr: 1.0000e-03 eta: 7:57:00 time: 0.2275 data_time: 0.0217 memory: 6108 grad_norm: 8.1085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1353 loss: 1.1353 2022/07/23 07:53:08 - mmengine - INFO - Epoch(train) [68][1840/3757] lr: 1.0000e-03 eta: 7:56:55 time: 0.2306 data_time: 0.0213 memory: 6108 grad_norm: 8.1041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2978 loss: 1.2978 2022/07/23 07:53:13 - mmengine - INFO - Epoch(train) [68][1860/3757] lr: 1.0000e-03 eta: 7:56:51 time: 0.2412 data_time: 0.0225 memory: 6108 grad_norm: 7.9243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0477 loss: 1.0477 2022/07/23 07:53:17 - mmengine - INFO - Epoch(train) [68][1880/3757] lr: 1.0000e-03 eta: 7:56:46 time: 0.2271 data_time: 0.0241 memory: 6108 grad_norm: 8.2274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3344 loss: 1.3344 2022/07/23 07:53:22 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 1.0000e-03 eta: 7:56:41 time: 0.2322 data_time: 0.0224 memory: 6108 grad_norm: 8.1646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2503 loss: 1.2503 2022/07/23 07:53:27 - mmengine - INFO - Epoch(train) [68][1920/3757] lr: 1.0000e-03 eta: 7:56:37 time: 0.2415 data_time: 0.0204 memory: 6108 grad_norm: 8.0593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4354 loss: 1.4354 2022/07/23 07:53:32 - mmengine - INFO - Epoch(train) [68][1940/3757] lr: 1.0000e-03 eta: 7:56:32 time: 0.2539 data_time: 0.0311 memory: 6108 grad_norm: 8.2274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3674 loss: 1.3674 2022/07/23 07:53:36 - mmengine - INFO - Epoch(train) [68][1960/3757] lr: 1.0000e-03 eta: 7:56:27 time: 0.2268 data_time: 0.0258 memory: 6108 grad_norm: 8.1540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3941 loss: 1.3941 2022/07/23 07:53:41 - mmengine - INFO - Epoch(train) [68][1980/3757] lr: 1.0000e-03 eta: 7:56:23 time: 0.2337 data_time: 0.0259 memory: 6108 grad_norm: 8.0849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/07/23 07:53:46 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 1.0000e-03 eta: 7:56:18 time: 0.2371 data_time: 0.0267 memory: 6108 grad_norm: 7.7167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2495 loss: 1.2495 2022/07/23 07:53:51 - mmengine - INFO - Epoch(train) [68][2020/3757] lr: 1.0000e-03 eta: 7:56:13 time: 0.2542 data_time: 0.0326 memory: 6108 grad_norm: 8.2223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/07/23 07:53:55 - mmengine - INFO - Epoch(train) [68][2040/3757] lr: 1.0000e-03 eta: 7:56:09 time: 0.2279 data_time: 0.0242 memory: 6108 grad_norm: 8.0798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2296 loss: 1.2296 2022/07/23 07:54:00 - mmengine - INFO - Epoch(train) [68][2060/3757] lr: 1.0000e-03 eta: 7:56:04 time: 0.2329 data_time: 0.0211 memory: 6108 grad_norm: 8.0473 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/07/23 07:54:05 - mmengine - INFO - Epoch(train) [68][2080/3757] lr: 1.0000e-03 eta: 7:55:59 time: 0.2321 data_time: 0.0219 memory: 6108 grad_norm: 7.6634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/07/23 07:54:09 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 1.0000e-03 eta: 7:55:55 time: 0.2308 data_time: 0.0197 memory: 6108 grad_norm: 8.0077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/07/23 07:54:14 - mmengine - INFO - Epoch(train) [68][2120/3757] lr: 1.0000e-03 eta: 7:55:50 time: 0.2451 data_time: 0.0202 memory: 6108 grad_norm: 8.1075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4296 loss: 1.4296 2022/07/23 07:54:19 - mmengine - INFO - Epoch(train) [68][2140/3757] lr: 1.0000e-03 eta: 7:55:45 time: 0.2290 data_time: 0.0249 memory: 6108 grad_norm: 7.7348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2114 loss: 1.2114 2022/07/23 07:54:24 - mmengine - INFO - Epoch(train) [68][2160/3757] lr: 1.0000e-03 eta: 7:55:41 time: 0.2296 data_time: 0.0242 memory: 6108 grad_norm: 7.7612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/07/23 07:54:28 - mmengine - INFO - Epoch(train) [68][2180/3757] lr: 1.0000e-03 eta: 7:55:36 time: 0.2282 data_time: 0.0261 memory: 6108 grad_norm: 7.8852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3704 loss: 1.3704 2022/07/23 07:54:33 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 1.0000e-03 eta: 7:55:31 time: 0.2410 data_time: 0.0230 memory: 6108 grad_norm: 7.9899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0740 loss: 1.0740 2022/07/23 07:54:38 - mmengine - INFO - Epoch(train) [68][2220/3757] lr: 1.0000e-03 eta: 7:55:26 time: 0.2303 data_time: 0.0192 memory: 6108 grad_norm: 8.3522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4897 loss: 1.4897 2022/07/23 07:54:42 - mmengine - INFO - Epoch(train) [68][2240/3757] lr: 1.0000e-03 eta: 7:55:22 time: 0.2261 data_time: 0.0267 memory: 6108 grad_norm: 8.0163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/07/23 07:54:47 - mmengine - INFO - Epoch(train) [68][2260/3757] lr: 1.0000e-03 eta: 7:55:17 time: 0.2261 data_time: 0.0219 memory: 6108 grad_norm: 7.8912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5434 loss: 1.5434 2022/07/23 07:54:52 - mmengine - INFO - Epoch(train) [68][2280/3757] lr: 1.0000e-03 eta: 7:55:12 time: 0.2453 data_time: 0.0236 memory: 6108 grad_norm: 8.1122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2936 loss: 1.2936 2022/07/23 07:54:52 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:54:56 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 1.0000e-03 eta: 7:55:08 time: 0.2231 data_time: 0.0199 memory: 6108 grad_norm: 8.2158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/07/23 07:55:01 - mmengine - INFO - Epoch(train) [68][2320/3757] lr: 1.0000e-03 eta: 7:55:03 time: 0.2325 data_time: 0.0256 memory: 6108 grad_norm: 8.2227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3448 loss: 1.3448 2022/07/23 07:55:05 - mmengine - INFO - Epoch(train) [68][2340/3757] lr: 1.0000e-03 eta: 7:54:58 time: 0.2239 data_time: 0.0201 memory: 6108 grad_norm: 8.0050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/07/23 07:55:10 - mmengine - INFO - Epoch(train) [68][2360/3757] lr: 1.0000e-03 eta: 7:54:53 time: 0.2244 data_time: 0.0216 memory: 6108 grad_norm: 7.9989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4993 loss: 1.4993 2022/07/23 07:55:15 - mmengine - INFO - Epoch(train) [68][2380/3757] lr: 1.0000e-03 eta: 7:54:49 time: 0.2501 data_time: 0.0245 memory: 6108 grad_norm: 7.9254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2176 loss: 1.2176 2022/07/23 07:55:19 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 1.0000e-03 eta: 7:54:44 time: 0.2279 data_time: 0.0229 memory: 6108 grad_norm: 7.8968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1300 loss: 1.1300 2022/07/23 07:55:24 - mmengine - INFO - Epoch(train) [68][2420/3757] lr: 1.0000e-03 eta: 7:54:39 time: 0.2271 data_time: 0.0223 memory: 6108 grad_norm: 7.7978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2915 loss: 1.2915 2022/07/23 07:55:29 - mmengine - INFO - Epoch(train) [68][2440/3757] lr: 1.0000e-03 eta: 7:54:35 time: 0.2304 data_time: 0.0305 memory: 6108 grad_norm: 7.7691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/07/23 07:55:34 - mmengine - INFO - Epoch(train) [68][2460/3757] lr: 1.0000e-03 eta: 7:54:30 time: 0.2496 data_time: 0.0200 memory: 6108 grad_norm: 7.9988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2546 loss: 1.2546 2022/07/23 07:55:38 - mmengine - INFO - Epoch(train) [68][2480/3757] lr: 1.0000e-03 eta: 7:54:25 time: 0.2293 data_time: 0.0218 memory: 6108 grad_norm: 7.8502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2823 loss: 1.2823 2022/07/23 07:55:43 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 1.0000e-03 eta: 7:54:21 time: 0.2286 data_time: 0.0254 memory: 6108 grad_norm: 8.0513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4677 loss: 1.4677 2022/07/23 07:55:47 - mmengine - INFO - Epoch(train) [68][2520/3757] lr: 1.0000e-03 eta: 7:54:16 time: 0.2277 data_time: 0.0191 memory: 6108 grad_norm: 7.8749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3143 loss: 1.3143 2022/07/23 07:55:53 - mmengine - INFO - Epoch(train) [68][2540/3757] lr: 1.0000e-03 eta: 7:54:11 time: 0.2580 data_time: 0.0240 memory: 6108 grad_norm: 7.8993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/07/23 07:55:57 - mmengine - INFO - Epoch(train) [68][2560/3757] lr: 1.0000e-03 eta: 7:54:07 time: 0.2266 data_time: 0.0265 memory: 6108 grad_norm: 7.9898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3181 loss: 1.3181 2022/07/23 07:56:02 - mmengine - INFO - Epoch(train) [68][2580/3757] lr: 1.0000e-03 eta: 7:54:02 time: 0.2345 data_time: 0.0255 memory: 6108 grad_norm: 7.6772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/07/23 07:56:07 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 1.0000e-03 eta: 7:53:57 time: 0.2337 data_time: 0.0243 memory: 6108 grad_norm: 8.0001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0266 loss: 1.0266 2022/07/23 07:56:16 - mmengine - INFO - Epoch(train) [68][2620/3757] lr: 1.0000e-03 eta: 7:53:55 time: 0.4860 data_time: 0.0198 memory: 6108 grad_norm: 7.8982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3960 loss: 1.3960 2022/07/23 07:56:21 - mmengine - INFO - Epoch(train) [68][2640/3757] lr: 1.0000e-03 eta: 7:53:50 time: 0.2358 data_time: 0.0213 memory: 6108 grad_norm: 8.4195 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5806 loss: 1.5806 2022/07/23 07:56:26 - mmengine - INFO - Epoch(train) [68][2660/3757] lr: 1.0000e-03 eta: 7:53:46 time: 0.2481 data_time: 0.0232 memory: 6108 grad_norm: 8.0535 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2930 loss: 1.2930 2022/07/23 07:56:31 - mmengine - INFO - Epoch(train) [68][2680/3757] lr: 1.0000e-03 eta: 7:53:41 time: 0.2549 data_time: 0.0217 memory: 6108 grad_norm: 7.9027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3938 loss: 1.3938 2022/07/23 07:56:36 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 1.0000e-03 eta: 7:53:36 time: 0.2241 data_time: 0.0209 memory: 6108 grad_norm: 8.0301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/07/23 07:56:40 - mmengine - INFO - Epoch(train) [68][2720/3757] lr: 1.0000e-03 eta: 7:53:32 time: 0.2261 data_time: 0.0266 memory: 6108 grad_norm: 7.6534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/07/23 07:56:45 - mmengine - INFO - Epoch(train) [68][2740/3757] lr: 1.0000e-03 eta: 7:53:27 time: 0.2424 data_time: 0.0270 memory: 6108 grad_norm: 7.9689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3174 loss: 1.3174 2022/07/23 07:56:50 - mmengine - INFO - Epoch(train) [68][2760/3757] lr: 1.0000e-03 eta: 7:53:22 time: 0.2251 data_time: 0.0232 memory: 6108 grad_norm: 8.0374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2161 loss: 1.2161 2022/07/23 07:56:55 - mmengine - INFO - Epoch(train) [68][2780/3757] lr: 1.0000e-03 eta: 7:53:18 time: 0.2429 data_time: 0.0188 memory: 6108 grad_norm: 7.5329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/07/23 07:56:59 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 1.0000e-03 eta: 7:53:13 time: 0.2270 data_time: 0.0225 memory: 6108 grad_norm: 7.9593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/07/23 07:57:04 - mmengine - INFO - Epoch(train) [68][2820/3757] lr: 1.0000e-03 eta: 7:53:08 time: 0.2436 data_time: 0.0290 memory: 6108 grad_norm: 7.9456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/07/23 07:57:09 - mmengine - INFO - Epoch(train) [68][2840/3757] lr: 1.0000e-03 eta: 7:53:04 time: 0.2384 data_time: 0.0197 memory: 6108 grad_norm: 8.0515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3069 loss: 1.3069 2022/07/23 07:57:14 - mmengine - INFO - Epoch(train) [68][2860/3757] lr: 1.0000e-03 eta: 7:52:59 time: 0.2380 data_time: 0.0219 memory: 6108 grad_norm: 8.0766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3105 loss: 1.3105 2022/07/23 07:57:19 - mmengine - INFO - Epoch(train) [68][2880/3757] lr: 1.0000e-03 eta: 7:52:54 time: 0.2479 data_time: 0.0249 memory: 6108 grad_norm: 8.3169 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/07/23 07:57:23 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 1.0000e-03 eta: 7:52:50 time: 0.2245 data_time: 0.0211 memory: 6108 grad_norm: 8.2709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3675 loss: 1.3675 2022/07/23 07:57:28 - mmengine - INFO - Epoch(train) [68][2920/3757] lr: 1.0000e-03 eta: 7:52:45 time: 0.2359 data_time: 0.0216 memory: 6108 grad_norm: 7.9356 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2723 loss: 1.2723 2022/07/23 07:57:33 - mmengine - INFO - Epoch(train) [68][2940/3757] lr: 1.0000e-03 eta: 7:52:41 time: 0.2654 data_time: 0.0219 memory: 6108 grad_norm: 7.9755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3311 loss: 1.3311 2022/07/23 07:57:38 - mmengine - INFO - Epoch(train) [68][2960/3757] lr: 1.0000e-03 eta: 7:52:36 time: 0.2262 data_time: 0.0208 memory: 6108 grad_norm: 7.7772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1962 loss: 1.1962 2022/07/23 07:57:42 - mmengine - INFO - Epoch(train) [68][2980/3757] lr: 1.0000e-03 eta: 7:52:31 time: 0.2330 data_time: 0.0265 memory: 6108 grad_norm: 7.8041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/07/23 07:57:47 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 1.0000e-03 eta: 7:52:26 time: 0.2286 data_time: 0.0278 memory: 6108 grad_norm: 8.1851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/07/23 07:57:52 - mmengine - INFO - Epoch(train) [68][3020/3757] lr: 1.0000e-03 eta: 7:52:22 time: 0.2394 data_time: 0.0282 memory: 6108 grad_norm: 7.9138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4368 loss: 1.4368 2022/07/23 07:57:57 - mmengine - INFO - Epoch(train) [68][3040/3757] lr: 1.0000e-03 eta: 7:52:17 time: 0.2350 data_time: 0.0194 memory: 6108 grad_norm: 7.9897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4044 loss: 1.4044 2022/07/23 07:58:01 - mmengine - INFO - Epoch(train) [68][3060/3757] lr: 1.0000e-03 eta: 7:52:12 time: 0.2391 data_time: 0.0233 memory: 6108 grad_norm: 8.0335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5928 loss: 1.5928 2022/07/23 07:58:06 - mmengine - INFO - Epoch(train) [68][3080/3757] lr: 1.0000e-03 eta: 7:52:08 time: 0.2286 data_time: 0.0180 memory: 6108 grad_norm: 8.1002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4330 loss: 1.4330 2022/07/23 07:58:10 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 1.0000e-03 eta: 7:52:03 time: 0.2269 data_time: 0.0175 memory: 6108 grad_norm: 7.7925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/07/23 07:58:15 - mmengine - INFO - Epoch(train) [68][3120/3757] lr: 1.0000e-03 eta: 7:51:58 time: 0.2395 data_time: 0.0213 memory: 6108 grad_norm: 8.1437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3894 loss: 1.3894 2022/07/23 07:58:20 - mmengine - INFO - Epoch(train) [68][3140/3757] lr: 1.0000e-03 eta: 7:51:54 time: 0.2266 data_time: 0.0206 memory: 6108 grad_norm: 8.1262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3344 loss: 1.3344 2022/07/23 07:58:25 - mmengine - INFO - Epoch(train) [68][3160/3757] lr: 1.0000e-03 eta: 7:51:49 time: 0.2334 data_time: 0.0236 memory: 6108 grad_norm: 8.1032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4442 loss: 1.4442 2022/07/23 07:58:29 - mmengine - INFO - Epoch(train) [68][3180/3757] lr: 1.0000e-03 eta: 7:51:44 time: 0.2290 data_time: 0.0240 memory: 6108 grad_norm: 8.1002 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1999 loss: 1.1999 2022/07/23 07:58:34 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 1.0000e-03 eta: 7:51:40 time: 0.2434 data_time: 0.0284 memory: 6108 grad_norm: 7.8829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3165 loss: 1.3165 2022/07/23 07:58:39 - mmengine - INFO - Epoch(train) [68][3220/3757] lr: 1.0000e-03 eta: 7:51:35 time: 0.2277 data_time: 0.0218 memory: 6108 grad_norm: 8.1171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/07/23 07:58:43 - mmengine - INFO - Epoch(train) [68][3240/3757] lr: 1.0000e-03 eta: 7:51:30 time: 0.2295 data_time: 0.0214 memory: 6108 grad_norm: 7.9581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/07/23 07:58:48 - mmengine - INFO - Epoch(train) [68][3260/3757] lr: 1.0000e-03 eta: 7:51:25 time: 0.2286 data_time: 0.0242 memory: 6108 grad_norm: 8.0289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2845 loss: 1.2845 2022/07/23 07:58:53 - mmengine - INFO - Epoch(train) [68][3280/3757] lr: 1.0000e-03 eta: 7:51:21 time: 0.2405 data_time: 0.0216 memory: 6108 grad_norm: 8.2342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3577 loss: 1.3577 2022/07/23 07:58:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 07:58:57 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 1.0000e-03 eta: 7:51:16 time: 0.2298 data_time: 0.0242 memory: 6108 grad_norm: 8.0656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2038 loss: 1.2038 2022/07/23 07:59:02 - mmengine - INFO - Epoch(train) [68][3320/3757] lr: 1.0000e-03 eta: 7:51:11 time: 0.2366 data_time: 0.0212 memory: 6108 grad_norm: 7.9635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2299 loss: 1.2299 2022/07/23 07:59:07 - mmengine - INFO - Epoch(train) [68][3340/3757] lr: 1.0000e-03 eta: 7:51:07 time: 0.2544 data_time: 0.0195 memory: 6108 grad_norm: 7.9504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2979 loss: 1.2979 2022/07/23 07:59:12 - mmengine - INFO - Epoch(train) [68][3360/3757] lr: 1.0000e-03 eta: 7:51:02 time: 0.2471 data_time: 0.0202 memory: 6108 grad_norm: 7.9889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/07/23 07:59:17 - mmengine - INFO - Epoch(train) [68][3380/3757] lr: 1.0000e-03 eta: 7:50:57 time: 0.2247 data_time: 0.0177 memory: 6108 grad_norm: 8.0313 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3291 loss: 1.3291 2022/07/23 07:59:21 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 1.0000e-03 eta: 7:50:53 time: 0.2285 data_time: 0.0209 memory: 6108 grad_norm: 7.5815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2352 loss: 1.2352 2022/07/23 07:59:26 - mmengine - INFO - Epoch(train) [68][3420/3757] lr: 1.0000e-03 eta: 7:50:48 time: 0.2309 data_time: 0.0233 memory: 6108 grad_norm: 8.0466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5848 loss: 1.5848 2022/07/23 07:59:30 - mmengine - INFO - Epoch(train) [68][3440/3757] lr: 1.0000e-03 eta: 7:50:43 time: 0.2252 data_time: 0.0204 memory: 6108 grad_norm: 7.8139 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4145 loss: 1.4145 2022/07/23 07:59:35 - mmengine - INFO - Epoch(train) [68][3460/3757] lr: 1.0000e-03 eta: 7:50:39 time: 0.2430 data_time: 0.0165 memory: 6108 grad_norm: 8.1744 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1031 loss: 1.1031 2022/07/23 07:59:40 - mmengine - INFO - Epoch(train) [68][3480/3757] lr: 1.0000e-03 eta: 7:50:34 time: 0.2373 data_time: 0.0267 memory: 6108 grad_norm: 8.3666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3767 loss: 1.3767 2022/07/23 07:59:45 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 1.0000e-03 eta: 7:50:29 time: 0.2323 data_time: 0.0184 memory: 6108 grad_norm: 7.9743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2985 loss: 1.2985 2022/07/23 07:59:49 - mmengine - INFO - Epoch(train) [68][3520/3757] lr: 1.0000e-03 eta: 7:50:25 time: 0.2309 data_time: 0.0259 memory: 6108 grad_norm: 8.2254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4092 loss: 1.4092 2022/07/23 07:59:54 - mmengine - INFO - Epoch(train) [68][3540/3757] lr: 1.0000e-03 eta: 7:50:20 time: 0.2390 data_time: 0.0207 memory: 6108 grad_norm: 7.8848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2549 loss: 1.2549 2022/07/23 07:59:59 - mmengine - INFO - Epoch(train) [68][3560/3757] lr: 1.0000e-03 eta: 7:50:15 time: 0.2383 data_time: 0.0235 memory: 6108 grad_norm: 8.0432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3511 loss: 1.3511 2022/07/23 08:00:04 - mmengine - INFO - Epoch(train) [68][3580/3757] lr: 1.0000e-03 eta: 7:50:11 time: 0.2521 data_time: 0.0276 memory: 6108 grad_norm: 7.9232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2431 loss: 1.2431 2022/07/23 08:00:09 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 1.0000e-03 eta: 7:50:06 time: 0.2249 data_time: 0.0209 memory: 6108 grad_norm: 7.8100 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3321 loss: 1.3321 2022/07/23 08:00:13 - mmengine - INFO - Epoch(train) [68][3620/3757] lr: 1.0000e-03 eta: 7:50:01 time: 0.2444 data_time: 0.0216 memory: 6108 grad_norm: 8.0074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3051 loss: 1.3051 2022/07/23 08:00:18 - mmengine - INFO - Epoch(train) [68][3640/3757] lr: 1.0000e-03 eta: 7:49:57 time: 0.2248 data_time: 0.0218 memory: 6108 grad_norm: 8.0192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4203 loss: 1.4203 2022/07/23 08:00:23 - mmengine - INFO - Epoch(train) [68][3660/3757] lr: 1.0000e-03 eta: 7:49:52 time: 0.2282 data_time: 0.0219 memory: 6108 grad_norm: 8.0807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/07/23 08:00:27 - mmengine - INFO - Epoch(train) [68][3680/3757] lr: 1.0000e-03 eta: 7:49:47 time: 0.2283 data_time: 0.0182 memory: 6108 grad_norm: 8.2113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3115 loss: 1.3115 2022/07/23 08:00:32 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 1.0000e-03 eta: 7:49:42 time: 0.2357 data_time: 0.0196 memory: 6108 grad_norm: 8.1783 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5375 loss: 1.5375 2022/07/23 08:00:37 - mmengine - INFO - Epoch(train) [68][3720/3757] lr: 1.0000e-03 eta: 7:49:38 time: 0.2318 data_time: 0.0275 memory: 6108 grad_norm: 7.8900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5729 loss: 1.5729 2022/07/23 08:00:42 - mmengine - INFO - Epoch(train) [68][3740/3757] lr: 1.0000e-03 eta: 7:49:33 time: 0.2480 data_time: 0.0183 memory: 6108 grad_norm: 7.9957 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2512 loss: 1.2512 2022/07/23 08:00:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:00:45 - mmengine - INFO - Epoch(train) [68][3757/3757] lr: 1.0000e-03 eta: 7:49:33 time: 0.1950 data_time: 0.0125 memory: 6108 grad_norm: 7.7981 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3861 loss: 1.3861 2022/07/23 08:00:50 - mmengine - INFO - Epoch(val) [68][20/310] eta: 0:01:19 time: 0.2747 data_time: 0.1955 memory: 1428 2022/07/23 08:00:54 - mmengine - INFO - Epoch(val) [68][40/310] eta: 0:00:48 time: 0.1797 data_time: 0.0911 memory: 1428 2022/07/23 08:00:59 - mmengine - INFO - Epoch(val) [68][60/310] eta: 0:01:00 time: 0.2428 data_time: 0.1641 memory: 1428 2022/07/23 08:01:02 - mmengine - INFO - Epoch(val) [68][80/310] eta: 0:00:40 time: 0.1742 data_time: 0.0982 memory: 1428 2022/07/23 08:01:07 - mmengine - INFO - Epoch(val) [68][100/310] eta: 0:00:51 time: 0.2459 data_time: 0.1719 memory: 1428 2022/07/23 08:01:11 - mmengine - INFO - Epoch(val) [68][120/310] eta: 0:00:32 time: 0.1724 data_time: 0.0963 memory: 1428 2022/07/23 08:01:15 - mmengine - INFO - Epoch(val) [68][140/310] eta: 0:00:39 time: 0.2342 data_time: 0.1592 memory: 1428 2022/07/23 08:01:19 - mmengine - INFO - Epoch(val) [68][160/310] eta: 0:00:29 time: 0.1949 data_time: 0.1190 memory: 1428 2022/07/23 08:01:24 - mmengine - INFO - Epoch(val) [68][180/310] eta: 0:00:32 time: 0.2481 data_time: 0.1528 memory: 1428 2022/07/23 08:01:28 - mmengine - INFO - Epoch(val) [68][200/310] eta: 0:00:19 time: 0.1806 data_time: 0.1062 memory: 1428 2022/07/23 08:01:33 - mmengine - INFO - Epoch(val) [68][220/310] eta: 0:00:25 time: 0.2793 data_time: 0.2070 memory: 1428 2022/07/23 08:01:37 - mmengine - INFO - Epoch(val) [68][240/310] eta: 0:00:13 time: 0.1894 data_time: 0.1145 memory: 1428 2022/07/23 08:01:42 - mmengine - INFO - Epoch(val) [68][260/310] eta: 0:00:12 time: 0.2494 data_time: 0.1770 memory: 1428 2022/07/23 08:01:46 - mmengine - INFO - Epoch(val) [68][280/310] eta: 0:00:05 time: 0.1890 data_time: 0.1091 memory: 1428 2022/07/23 08:01:50 - mmengine - INFO - Epoch(val) [68][300/310] eta: 0:00:02 time: 0.2070 data_time: 0.1374 memory: 1428 2022/07/23 08:01:53 - mmengine - INFO - Epoch(val) [68][310/310] acc/top1: 0.6516 acc/top5: 0.8605 acc/mean1: 0.6516 2022/07/23 08:02:00 - mmengine - INFO - Epoch(train) [69][20/3757] lr: 1.0000e-03 eta: 7:49:23 time: 0.3253 data_time: 0.0925 memory: 6108 grad_norm: 7.9718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2445 loss: 1.2445 2022/07/23 08:02:04 - mmengine - INFO - Epoch(train) [69][40/3757] lr: 1.0000e-03 eta: 7:49:19 time: 0.2264 data_time: 0.0227 memory: 6108 grad_norm: 7.7182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/07/23 08:02:09 - mmengine - INFO - Epoch(train) [69][60/3757] lr: 1.0000e-03 eta: 7:49:14 time: 0.2303 data_time: 0.0231 memory: 6108 grad_norm: 7.8965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2822 loss: 1.2822 2022/07/23 08:02:13 - mmengine - INFO - Epoch(train) [69][80/3757] lr: 1.0000e-03 eta: 7:49:09 time: 0.2350 data_time: 0.0238 memory: 6108 grad_norm: 7.6741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2803 loss: 1.2803 2022/07/23 08:02:18 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 1.0000e-03 eta: 7:49:05 time: 0.2365 data_time: 0.0284 memory: 6108 grad_norm: 7.9074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2982 loss: 1.2982 2022/07/23 08:02:23 - mmengine - INFO - Epoch(train) [69][120/3757] lr: 1.0000e-03 eta: 7:49:00 time: 0.2328 data_time: 0.0222 memory: 6108 grad_norm: 7.8685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/07/23 08:02:28 - mmengine - INFO - Epoch(train) [69][140/3757] lr: 1.0000e-03 eta: 7:48:55 time: 0.2343 data_time: 0.0211 memory: 6108 grad_norm: 8.2222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2859 loss: 1.2859 2022/07/23 08:02:32 - mmengine - INFO - Epoch(train) [69][160/3757] lr: 1.0000e-03 eta: 7:48:51 time: 0.2425 data_time: 0.0295 memory: 6108 grad_norm: 7.8987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3169 loss: 1.3169 2022/07/23 08:02:37 - mmengine - INFO - Epoch(train) [69][180/3757] lr: 1.0000e-03 eta: 7:48:46 time: 0.2348 data_time: 0.0234 memory: 6108 grad_norm: 8.1197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3829 loss: 1.3829 2022/07/23 08:02:42 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 1.0000e-03 eta: 7:48:41 time: 0.2307 data_time: 0.0183 memory: 6108 grad_norm: 7.9539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/07/23 08:02:46 - mmengine - INFO - Epoch(train) [69][220/3757] lr: 1.0000e-03 eta: 7:48:36 time: 0.2262 data_time: 0.0199 memory: 6108 grad_norm: 7.6860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4908 loss: 1.4908 2022/07/23 08:02:52 - mmengine - INFO - Epoch(train) [69][240/3757] lr: 1.0000e-03 eta: 7:48:32 time: 0.2779 data_time: 0.0771 memory: 6108 grad_norm: 7.8975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/07/23 08:02:57 - mmengine - INFO - Epoch(train) [69][260/3757] lr: 1.0000e-03 eta: 7:48:28 time: 0.2534 data_time: 0.0575 memory: 6108 grad_norm: 8.0581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1900 loss: 1.1900 2022/07/23 08:03:02 - mmengine - INFO - Epoch(train) [69][280/3757] lr: 1.0000e-03 eta: 7:48:23 time: 0.2297 data_time: 0.0275 memory: 6108 grad_norm: 8.3265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2563 loss: 1.2563 2022/07/23 08:03:06 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 1.0000e-03 eta: 7:48:18 time: 0.2273 data_time: 0.0225 memory: 6108 grad_norm: 8.0202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2719 loss: 1.2719 2022/07/23 08:03:11 - mmengine - INFO - Epoch(train) [69][320/3757] lr: 1.0000e-03 eta: 7:48:13 time: 0.2311 data_time: 0.0204 memory: 6108 grad_norm: 7.8658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/07/23 08:03:16 - mmengine - INFO - Epoch(train) [69][340/3757] lr: 1.0000e-03 eta: 7:48:09 time: 0.2416 data_time: 0.0358 memory: 6108 grad_norm: 8.0332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0767 loss: 1.0767 2022/07/23 08:03:20 - mmengine - INFO - Epoch(train) [69][360/3757] lr: 1.0000e-03 eta: 7:48:04 time: 0.2277 data_time: 0.0239 memory: 6108 grad_norm: 7.9248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/07/23 08:03:25 - mmengine - INFO - Epoch(train) [69][380/3757] lr: 1.0000e-03 eta: 7:47:59 time: 0.2323 data_time: 0.0220 memory: 6108 grad_norm: 8.2603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3132 loss: 1.3132 2022/07/23 08:03:30 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 1.0000e-03 eta: 7:47:55 time: 0.2335 data_time: 0.0288 memory: 6108 grad_norm: 8.2541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1881 loss: 1.1881 2022/07/23 08:03:34 - mmengine - INFO - Epoch(train) [69][420/3757] lr: 1.0000e-03 eta: 7:47:50 time: 0.2376 data_time: 0.0202 memory: 6108 grad_norm: 8.0612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2109 loss: 1.2109 2022/07/23 08:03:39 - mmengine - INFO - Epoch(train) [69][440/3757] lr: 1.0000e-03 eta: 7:47:45 time: 0.2332 data_time: 0.0248 memory: 6108 grad_norm: 8.1627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/07/23 08:03:44 - mmengine - INFO - Epoch(train) [69][460/3757] lr: 1.0000e-03 eta: 7:47:41 time: 0.2301 data_time: 0.0224 memory: 6108 grad_norm: 8.1280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/07/23 08:03:48 - mmengine - INFO - Epoch(train) [69][480/3757] lr: 1.0000e-03 eta: 7:47:36 time: 0.2291 data_time: 0.0220 memory: 6108 grad_norm: 7.9203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/07/23 08:03:53 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 1.0000e-03 eta: 7:47:31 time: 0.2392 data_time: 0.0185 memory: 6108 grad_norm: 8.0398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3458 loss: 1.3458 2022/07/23 08:03:58 - mmengine - INFO - Epoch(train) [69][520/3757] lr: 1.0000e-03 eta: 7:47:27 time: 0.2555 data_time: 0.0230 memory: 6108 grad_norm: 8.2723 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5013 loss: 1.5013 2022/07/23 08:03:59 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:04:03 - mmengine - INFO - Epoch(train) [69][540/3757] lr: 1.0000e-03 eta: 7:47:22 time: 0.2268 data_time: 0.0196 memory: 6108 grad_norm: 7.8656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/07/23 08:04:07 - mmengine - INFO - Epoch(train) [69][560/3757] lr: 1.0000e-03 eta: 7:47:17 time: 0.2254 data_time: 0.0219 memory: 6108 grad_norm: 8.0145 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/07/23 08:04:12 - mmengine - INFO - Epoch(train) [69][580/3757] lr: 1.0000e-03 eta: 7:47:13 time: 0.2528 data_time: 0.0244 memory: 6108 grad_norm: 8.2251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3180 loss: 1.3180 2022/07/23 08:04:17 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 1.0000e-03 eta: 7:47:08 time: 0.2307 data_time: 0.0197 memory: 6108 grad_norm: 7.7838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4384 loss: 1.4384 2022/07/23 08:04:22 - mmengine - INFO - Epoch(train) [69][620/3757] lr: 1.0000e-03 eta: 7:47:03 time: 0.2355 data_time: 0.0202 memory: 6108 grad_norm: 8.1367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0905 loss: 1.0905 2022/07/23 08:04:26 - mmengine - INFO - Epoch(train) [69][640/3757] lr: 1.0000e-03 eta: 7:46:59 time: 0.2299 data_time: 0.0262 memory: 6108 grad_norm: 7.8224 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4010 loss: 1.4010 2022/07/23 08:04:31 - mmengine - INFO - Epoch(train) [69][660/3757] lr: 1.0000e-03 eta: 7:46:54 time: 0.2292 data_time: 0.0182 memory: 6108 grad_norm: 8.0985 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4916 loss: 1.4916 2022/07/23 08:04:36 - mmengine - INFO - Epoch(train) [69][680/3757] lr: 1.0000e-03 eta: 7:46:49 time: 0.2405 data_time: 0.0235 memory: 6108 grad_norm: 7.8063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/07/23 08:04:41 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 1.0000e-03 eta: 7:46:45 time: 0.2324 data_time: 0.0240 memory: 6108 grad_norm: 8.1460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3298 loss: 1.3298 2022/07/23 08:04:45 - mmengine - INFO - Epoch(train) [69][720/3757] lr: 1.0000e-03 eta: 7:46:40 time: 0.2327 data_time: 0.0230 memory: 6108 grad_norm: 8.6257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5591 loss: 1.5591 2022/07/23 08:04:50 - mmengine - INFO - Epoch(train) [69][740/3757] lr: 1.0000e-03 eta: 7:46:35 time: 0.2491 data_time: 0.0183 memory: 6108 grad_norm: 7.7712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4687 loss: 1.4687 2022/07/23 08:04:55 - mmengine - INFO - Epoch(train) [69][760/3757] lr: 1.0000e-03 eta: 7:46:31 time: 0.2335 data_time: 0.0267 memory: 6108 grad_norm: 8.0795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2999 loss: 1.2999 2022/07/23 08:05:00 - mmengine - INFO - Epoch(train) [69][780/3757] lr: 1.0000e-03 eta: 7:46:26 time: 0.2347 data_time: 0.0185 memory: 6108 grad_norm: 8.1200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7734 loss: 1.7734 2022/07/23 08:05:04 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 1.0000e-03 eta: 7:46:21 time: 0.2310 data_time: 0.0230 memory: 6108 grad_norm: 7.9722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/07/23 08:05:09 - mmengine - INFO - Epoch(train) [69][820/3757] lr: 1.0000e-03 eta: 7:46:17 time: 0.2348 data_time: 0.0266 memory: 6108 grad_norm: 8.0065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/07/23 08:05:14 - mmengine - INFO - Epoch(train) [69][840/3757] lr: 1.0000e-03 eta: 7:46:12 time: 0.2316 data_time: 0.0187 memory: 6108 grad_norm: 8.3065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3620 loss: 1.3620 2022/07/23 08:05:18 - mmengine - INFO - Epoch(train) [69][860/3757] lr: 1.0000e-03 eta: 7:46:07 time: 0.2274 data_time: 0.0285 memory: 6108 grad_norm: 7.7536 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1685 loss: 1.1685 2022/07/23 08:05:23 - mmengine - INFO - Epoch(train) [69][880/3757] lr: 1.0000e-03 eta: 7:46:02 time: 0.2320 data_time: 0.0238 memory: 6108 grad_norm: 8.1373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4587 loss: 1.4587 2022/07/23 08:05:28 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 1.0000e-03 eta: 7:45:58 time: 0.2340 data_time: 0.0195 memory: 6108 grad_norm: 7.6890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1701 loss: 1.1701 2022/07/23 08:05:33 - mmengine - INFO - Epoch(train) [69][920/3757] lr: 1.0000e-03 eta: 7:45:53 time: 0.2532 data_time: 0.0249 memory: 6108 grad_norm: 8.0234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/07/23 08:05:37 - mmengine - INFO - Epoch(train) [69][940/3757] lr: 1.0000e-03 eta: 7:45:48 time: 0.2284 data_time: 0.0268 memory: 6108 grad_norm: 7.5315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5877 loss: 1.5877 2022/07/23 08:05:42 - mmengine - INFO - Epoch(train) [69][960/3757] lr: 1.0000e-03 eta: 7:45:44 time: 0.2328 data_time: 0.0219 memory: 6108 grad_norm: 7.9182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2665 loss: 1.2665 2022/07/23 08:05:47 - mmengine - INFO - Epoch(train) [69][980/3757] lr: 1.0000e-03 eta: 7:45:39 time: 0.2308 data_time: 0.0318 memory: 6108 grad_norm: 8.0672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3791 loss: 1.3791 2022/07/23 08:05:51 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 1.0000e-03 eta: 7:45:34 time: 0.2300 data_time: 0.0316 memory: 6108 grad_norm: 8.2443 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4176 loss: 1.4176 2022/07/23 08:05:56 - mmengine - INFO - Epoch(train) [69][1020/3757] lr: 1.0000e-03 eta: 7:45:30 time: 0.2388 data_time: 0.0247 memory: 6108 grad_norm: 8.0168 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3702 loss: 1.3702 2022/07/23 08:06:01 - mmengine - INFO - Epoch(train) [69][1040/3757] lr: 1.0000e-03 eta: 7:45:25 time: 0.2285 data_time: 0.0206 memory: 6108 grad_norm: 7.8955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/07/23 08:06:05 - mmengine - INFO - Epoch(train) [69][1060/3757] lr: 1.0000e-03 eta: 7:45:20 time: 0.2344 data_time: 0.0200 memory: 6108 grad_norm: 7.7839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5980 loss: 1.5980 2022/07/23 08:06:10 - mmengine - INFO - Epoch(train) [69][1080/3757] lr: 1.0000e-03 eta: 7:45:15 time: 0.2242 data_time: 0.0199 memory: 6108 grad_norm: 8.0890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3851 loss: 1.3851 2022/07/23 08:06:15 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 1.0000e-03 eta: 7:45:11 time: 0.2419 data_time: 0.0165 memory: 6108 grad_norm: 7.8813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2853 loss: 1.2853 2022/07/23 08:06:19 - mmengine - INFO - Epoch(train) [69][1120/3757] lr: 1.0000e-03 eta: 7:45:06 time: 0.2267 data_time: 0.0225 memory: 6108 grad_norm: 8.0667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4170 loss: 1.4170 2022/07/23 08:06:24 - mmengine - INFO - Epoch(train) [69][1140/3757] lr: 1.0000e-03 eta: 7:45:01 time: 0.2304 data_time: 0.0203 memory: 6108 grad_norm: 7.9375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1341 loss: 1.1341 2022/07/23 08:06:29 - mmengine - INFO - Epoch(train) [69][1160/3757] lr: 1.0000e-03 eta: 7:44:57 time: 0.2327 data_time: 0.0210 memory: 6108 grad_norm: 7.5480 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3867 loss: 1.3867 2022/07/23 08:06:33 - mmengine - INFO - Epoch(train) [69][1180/3757] lr: 1.0000e-03 eta: 7:44:52 time: 0.2395 data_time: 0.0274 memory: 6108 grad_norm: 7.9394 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3519 loss: 1.3519 2022/07/23 08:06:38 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 1.0000e-03 eta: 7:44:47 time: 0.2242 data_time: 0.0199 memory: 6108 grad_norm: 7.9093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3654 loss: 1.3654 2022/07/23 08:06:43 - mmengine - INFO - Epoch(train) [69][1220/3757] lr: 1.0000e-03 eta: 7:44:43 time: 0.2427 data_time: 0.0358 memory: 6108 grad_norm: 7.9844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1280 loss: 1.1280 2022/07/23 08:06:48 - mmengine - INFO - Epoch(train) [69][1240/3757] lr: 1.0000e-03 eta: 7:44:38 time: 0.2388 data_time: 0.0270 memory: 6108 grad_norm: 8.3753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2561 loss: 1.2561 2022/07/23 08:06:53 - mmengine - INFO - Epoch(train) [69][1260/3757] lr: 1.0000e-03 eta: 7:44:33 time: 0.2428 data_time: 0.0200 memory: 6108 grad_norm: 8.4101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3395 loss: 1.3395 2022/07/23 08:06:57 - mmengine - INFO - Epoch(train) [69][1280/3757] lr: 1.0000e-03 eta: 7:44:29 time: 0.2217 data_time: 0.0233 memory: 6108 grad_norm: 7.9533 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1663 loss: 1.1663 2022/07/23 08:07:02 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 1.0000e-03 eta: 7:44:24 time: 0.2306 data_time: 0.0203 memory: 6108 grad_norm: 7.8032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/07/23 08:07:07 - mmengine - INFO - Epoch(train) [69][1320/3757] lr: 1.0000e-03 eta: 7:44:19 time: 0.2500 data_time: 0.0169 memory: 6108 grad_norm: 8.1403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2311 loss: 1.2311 2022/07/23 08:07:11 - mmengine - INFO - Epoch(train) [69][1340/3757] lr: 1.0000e-03 eta: 7:44:15 time: 0.2249 data_time: 0.0224 memory: 6108 grad_norm: 7.8007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3774 loss: 1.3774 2022/07/23 08:07:16 - mmengine - INFO - Epoch(train) [69][1360/3757] lr: 1.0000e-03 eta: 7:44:10 time: 0.2404 data_time: 0.0235 memory: 6108 grad_norm: 8.0665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1496 loss: 1.1496 2022/07/23 08:07:21 - mmengine - INFO - Epoch(train) [69][1380/3757] lr: 1.0000e-03 eta: 7:44:05 time: 0.2255 data_time: 0.0193 memory: 6108 grad_norm: 7.9058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0939 loss: 1.0939 2022/07/23 08:07:25 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 1.0000e-03 eta: 7:44:00 time: 0.2326 data_time: 0.0242 memory: 6108 grad_norm: 8.2145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/07/23 08:07:30 - mmengine - INFO - Epoch(train) [69][1420/3757] lr: 1.0000e-03 eta: 7:43:56 time: 0.2348 data_time: 0.0313 memory: 6108 grad_norm: 7.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3061 loss: 1.3061 2022/07/23 08:07:35 - mmengine - INFO - Epoch(train) [69][1440/3757] lr: 1.0000e-03 eta: 7:43:51 time: 0.2402 data_time: 0.0204 memory: 6108 grad_norm: 7.5396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1561 loss: 1.1561 2022/07/23 08:07:39 - mmengine - INFO - Epoch(train) [69][1460/3757] lr: 1.0000e-03 eta: 7:43:46 time: 0.2269 data_time: 0.0248 memory: 6108 grad_norm: 8.1724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2855 loss: 1.2855 2022/07/23 08:07:44 - mmengine - INFO - Epoch(train) [69][1480/3757] lr: 1.0000e-03 eta: 7:43:42 time: 0.2317 data_time: 0.0218 memory: 6108 grad_norm: 7.7417 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1831 loss: 1.1831 2022/07/23 08:07:48 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 1.0000e-03 eta: 7:43:37 time: 0.2249 data_time: 0.0208 memory: 6108 grad_norm: 7.9924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5089 loss: 1.5089 2022/07/23 08:07:53 - mmengine - INFO - Epoch(train) [69][1520/3757] lr: 1.0000e-03 eta: 7:43:32 time: 0.2391 data_time: 0.0235 memory: 6108 grad_norm: 8.3141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/07/23 08:07:54 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:07:58 - mmengine - INFO - Epoch(train) [69][1540/3757] lr: 1.0000e-03 eta: 7:43:28 time: 0.2312 data_time: 0.0276 memory: 6108 grad_norm: 7.8830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/07/23 08:08:03 - mmengine - INFO - Epoch(train) [69][1560/3757] lr: 1.0000e-03 eta: 7:43:23 time: 0.2273 data_time: 0.0219 memory: 6108 grad_norm: 7.8631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/07/23 08:08:07 - mmengine - INFO - Epoch(train) [69][1580/3757] lr: 1.0000e-03 eta: 7:43:18 time: 0.2419 data_time: 0.0192 memory: 6108 grad_norm: 8.2648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5214 loss: 1.5214 2022/07/23 08:16:31 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 1.0000e-03 eta: 7:47:03 time: 25.1599 data_time: 24.9367 memory: 6108 grad_norm: 7.9787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4540 loss: 1.4540 2022/07/23 08:16:35 - mmengine - INFO - Epoch(train) [69][1620/3757] lr: 1.0000e-03 eta: 7:46:59 time: 0.2314 data_time: 0.0202 memory: 6108 grad_norm: 7.9652 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2342 loss: 1.2342 2022/07/23 08:16:40 - mmengine - INFO - Epoch(train) [69][1640/3757] lr: 1.0000e-03 eta: 7:46:54 time: 0.2378 data_time: 0.0373 memory: 6108 grad_norm: 7.9504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1975 loss: 1.1975 2022/07/23 08:16:45 - mmengine - INFO - Epoch(train) [69][1660/3757] lr: 1.0000e-03 eta: 7:46:49 time: 0.2420 data_time: 0.0233 memory: 6108 grad_norm: 8.4202 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3957 loss: 1.3957 2022/07/23 08:16:50 - mmengine - INFO - Epoch(train) [69][1680/3757] lr: 1.0000e-03 eta: 7:46:45 time: 0.2300 data_time: 0.0179 memory: 6108 grad_norm: 8.1351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2537 loss: 1.2537 2022/07/23 08:16:54 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 1.0000e-03 eta: 7:46:40 time: 0.2259 data_time: 0.0256 memory: 6108 grad_norm: 8.0237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5235 loss: 1.5235 2022/07/23 08:16:59 - mmengine - INFO - Epoch(train) [69][1720/3757] lr: 1.0000e-03 eta: 7:46:35 time: 0.2263 data_time: 0.0264 memory: 6108 grad_norm: 7.9000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1396 loss: 1.1396 2022/07/23 08:17:03 - mmengine - INFO - Epoch(train) [69][1740/3757] lr: 1.0000e-03 eta: 7:46:30 time: 0.2347 data_time: 0.0197 memory: 6108 grad_norm: 7.9442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2320 loss: 1.2320 2022/07/23 08:17:08 - mmengine - INFO - Epoch(train) [69][1760/3757] lr: 1.0000e-03 eta: 7:46:25 time: 0.2276 data_time: 0.0220 memory: 6108 grad_norm: 8.0447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3665 loss: 1.3665 2022/07/23 08:17:12 - mmengine - INFO - Epoch(train) [69][1780/3757] lr: 1.0000e-03 eta: 7:46:21 time: 0.2293 data_time: 0.0241 memory: 6108 grad_norm: 7.9544 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3459 loss: 1.3459 2022/07/23 08:17:17 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 1.0000e-03 eta: 7:46:16 time: 0.2357 data_time: 0.0243 memory: 6108 grad_norm: 8.1210 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2488 loss: 1.2488 2022/07/23 08:17:22 - mmengine - INFO - Epoch(train) [69][1820/3757] lr: 1.0000e-03 eta: 7:46:11 time: 0.2245 data_time: 0.0223 memory: 6108 grad_norm: 8.3824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4645 loss: 1.4645 2022/07/23 08:17:26 - mmengine - INFO - Epoch(train) [69][1840/3757] lr: 1.0000e-03 eta: 7:46:06 time: 0.2301 data_time: 0.0269 memory: 6108 grad_norm: 7.7490 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3716 loss: 1.3716 2022/07/23 08:17:31 - mmengine - INFO - Epoch(train) [69][1860/3757] lr: 1.0000e-03 eta: 7:46:01 time: 0.2323 data_time: 0.0176 memory: 6108 grad_norm: 7.9842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3913 loss: 1.3913 2022/07/23 08:17:36 - mmengine - INFO - Epoch(train) [69][1880/3757] lr: 1.0000e-03 eta: 7:45:57 time: 0.2320 data_time: 0.0262 memory: 6108 grad_norm: 8.1937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2709 loss: 1.2709 2022/07/23 08:17:40 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 1.0000e-03 eta: 7:45:52 time: 0.2272 data_time: 0.0192 memory: 6108 grad_norm: 8.0821 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4690 loss: 1.4690 2022/07/23 08:17:45 - mmengine - INFO - Epoch(train) [69][1920/3757] lr: 1.0000e-03 eta: 7:45:47 time: 0.2318 data_time: 0.0216 memory: 6108 grad_norm: 8.0564 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3094 loss: 1.3094 2022/07/23 08:17:50 - mmengine - INFO - Epoch(train) [69][1940/3757] lr: 1.0000e-03 eta: 7:45:42 time: 0.2325 data_time: 0.0251 memory: 6108 grad_norm: 8.1676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/07/23 08:17:54 - mmengine - INFO - Epoch(train) [69][1960/3757] lr: 1.0000e-03 eta: 7:45:38 time: 0.2327 data_time: 0.0190 memory: 6108 grad_norm: 7.8340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/07/23 08:17:59 - mmengine - INFO - Epoch(train) [69][1980/3757] lr: 1.0000e-03 eta: 7:45:33 time: 0.2249 data_time: 0.0237 memory: 6108 grad_norm: 8.0638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/07/23 08:18:03 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 1.0000e-03 eta: 7:45:28 time: 0.2297 data_time: 0.0259 memory: 6108 grad_norm: 8.0291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5477 loss: 1.5477 2022/07/23 08:18:08 - mmengine - INFO - Epoch(train) [69][2020/3757] lr: 1.0000e-03 eta: 7:45:23 time: 0.2292 data_time: 0.0204 memory: 6108 grad_norm: 7.9698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/07/23 08:18:13 - mmengine - INFO - Epoch(train) [69][2040/3757] lr: 1.0000e-03 eta: 7:45:19 time: 0.2389 data_time: 0.0181 memory: 6108 grad_norm: 7.9548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3450 loss: 1.3450 2022/07/23 08:18:17 - mmengine - INFO - Epoch(train) [69][2060/3757] lr: 1.0000e-03 eta: 7:45:14 time: 0.2306 data_time: 0.0278 memory: 6108 grad_norm: 8.1039 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0757 loss: 1.0757 2022/07/23 08:18:23 - mmengine - INFO - Epoch(train) [69][2080/3757] lr: 1.0000e-03 eta: 7:45:09 time: 0.2498 data_time: 0.0183 memory: 6108 grad_norm: 7.7342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/07/23 08:18:27 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 1.0000e-03 eta: 7:45:04 time: 0.2324 data_time: 0.0188 memory: 6108 grad_norm: 8.2376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/07/23 08:18:32 - mmengine - INFO - Epoch(train) [69][2120/3757] lr: 1.0000e-03 eta: 7:45:00 time: 0.2287 data_time: 0.0261 memory: 6108 grad_norm: 7.7886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2671 loss: 1.2671 2022/07/23 08:18:37 - mmengine - INFO - Epoch(train) [69][2140/3757] lr: 1.0000e-03 eta: 7:44:55 time: 0.2374 data_time: 0.0253 memory: 6108 grad_norm: 8.2058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4664 loss: 1.4664 2022/07/23 08:18:41 - mmengine - INFO - Epoch(train) [69][2160/3757] lr: 1.0000e-03 eta: 7:44:50 time: 0.2264 data_time: 0.0194 memory: 6108 grad_norm: 8.0256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/07/23 08:18:46 - mmengine - INFO - Epoch(train) [69][2180/3757] lr: 1.0000e-03 eta: 7:44:45 time: 0.2412 data_time: 0.0211 memory: 6108 grad_norm: 7.8870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3062 loss: 1.3062 2022/07/23 08:18:51 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 1.0000e-03 eta: 7:44:41 time: 0.2562 data_time: 0.0232 memory: 6108 grad_norm: 8.0562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/07/23 08:18:56 - mmengine - INFO - Epoch(train) [69][2220/3757] lr: 1.0000e-03 eta: 7:44:36 time: 0.2242 data_time: 0.0205 memory: 6108 grad_norm: 7.9338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4050 loss: 1.4050 2022/07/23 08:19:00 - mmengine - INFO - Epoch(train) [69][2240/3757] lr: 1.0000e-03 eta: 7:44:31 time: 0.2385 data_time: 0.0254 memory: 6108 grad_norm: 7.9322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/07/23 08:19:05 - mmengine - INFO - Epoch(train) [69][2260/3757] lr: 1.0000e-03 eta: 7:44:27 time: 0.2307 data_time: 0.0196 memory: 6108 grad_norm: 8.2074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/07/23 08:19:10 - mmengine - INFO - Epoch(train) [69][2280/3757] lr: 1.0000e-03 eta: 7:44:22 time: 0.2318 data_time: 0.0267 memory: 6108 grad_norm: 8.1877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3414 loss: 1.3414 2022/07/23 08:19:14 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 1.0000e-03 eta: 7:44:17 time: 0.2349 data_time: 0.0278 memory: 6108 grad_norm: 7.7448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5205 loss: 1.5205 2022/07/23 08:19:19 - mmengine - INFO - Epoch(train) [69][2320/3757] lr: 1.0000e-03 eta: 7:44:12 time: 0.2296 data_time: 0.0203 memory: 6108 grad_norm: 7.8142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0672 loss: 1.0672 2022/07/23 08:19:24 - mmengine - INFO - Epoch(train) [69][2340/3757] lr: 1.0000e-03 eta: 7:44:08 time: 0.2485 data_time: 0.0205 memory: 6108 grad_norm: 7.5457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2426 loss: 1.2426 2022/07/23 08:19:29 - mmengine - INFO - Epoch(train) [69][2360/3757] lr: 1.0000e-03 eta: 7:44:03 time: 0.2267 data_time: 0.0236 memory: 6108 grad_norm: 7.9253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1876 loss: 1.1876 2022/07/23 08:19:33 - mmengine - INFO - Epoch(train) [69][2380/3757] lr: 1.0000e-03 eta: 7:43:58 time: 0.2382 data_time: 0.0226 memory: 6108 grad_norm: 7.9307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3070 loss: 1.3070 2022/07/23 08:19:38 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 1.0000e-03 eta: 7:43:53 time: 0.2286 data_time: 0.0203 memory: 6108 grad_norm: 8.2244 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/07/23 08:19:43 - mmengine - INFO - Epoch(train) [69][2420/3757] lr: 1.0000e-03 eta: 7:43:49 time: 0.2271 data_time: 0.0214 memory: 6108 grad_norm: 8.0794 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4257 loss: 1.4257 2022/07/23 08:19:47 - mmengine - INFO - Epoch(train) [69][2440/3757] lr: 1.0000e-03 eta: 7:43:44 time: 0.2332 data_time: 0.0237 memory: 6108 grad_norm: 7.6330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0671 loss: 1.0671 2022/07/23 08:19:52 - mmengine - INFO - Epoch(train) [69][2460/3757] lr: 1.0000e-03 eta: 7:43:39 time: 0.2332 data_time: 0.0226 memory: 6108 grad_norm: 7.9439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3861 loss: 1.3861 2022/07/23 08:19:57 - mmengine - INFO - Epoch(train) [69][2480/3757] lr: 1.0000e-03 eta: 7:43:34 time: 0.2368 data_time: 0.0202 memory: 6108 grad_norm: 8.0762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4514 loss: 1.4514 2022/07/23 08:20:01 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 1.0000e-03 eta: 7:43:30 time: 0.2302 data_time: 0.0209 memory: 6108 grad_norm: 8.2428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3841 loss: 1.3841 2022/07/23 08:20:06 - mmengine - INFO - Epoch(train) [69][2520/3757] lr: 1.0000e-03 eta: 7:43:25 time: 0.2267 data_time: 0.0243 memory: 6108 grad_norm: 7.9977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5585 loss: 1.5585 2022/07/23 08:20:07 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:20:10 - mmengine - INFO - Epoch(train) [69][2540/3757] lr: 1.0000e-03 eta: 7:43:20 time: 0.2268 data_time: 0.0241 memory: 6108 grad_norm: 7.9680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3313 loss: 1.3313 2022/07/23 08:20:15 - mmengine - INFO - Epoch(train) [69][2560/3757] lr: 1.0000e-03 eta: 7:43:15 time: 0.2408 data_time: 0.0234 memory: 6108 grad_norm: 8.2607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/07/23 08:20:20 - mmengine - INFO - Epoch(train) [69][2580/3757] lr: 1.0000e-03 eta: 7:43:11 time: 0.2401 data_time: 0.0277 memory: 6108 grad_norm: 8.1641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/23 08:20:25 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 1.0000e-03 eta: 7:43:06 time: 0.2331 data_time: 0.0271 memory: 6108 grad_norm: 8.1882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5441 loss: 1.5441 2022/07/23 08:20:29 - mmengine - INFO - Epoch(train) [69][2620/3757] lr: 1.0000e-03 eta: 7:43:01 time: 0.2335 data_time: 0.0229 memory: 6108 grad_norm: 8.0751 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2100 loss: 1.2100 2022/07/23 08:20:34 - mmengine - INFO - Epoch(train) [69][2640/3757] lr: 1.0000e-03 eta: 7:42:56 time: 0.2323 data_time: 0.0194 memory: 6108 grad_norm: 7.9075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/07/23 08:20:39 - mmengine - INFO - Epoch(train) [69][2660/3757] lr: 1.0000e-03 eta: 7:42:51 time: 0.2272 data_time: 0.0258 memory: 6108 grad_norm: 7.9539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1655 loss: 1.1655 2022/07/23 08:20:43 - mmengine - INFO - Epoch(train) [69][2680/3757] lr: 1.0000e-03 eta: 7:42:47 time: 0.2299 data_time: 0.0224 memory: 6108 grad_norm: 8.3319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/07/23 08:20:48 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 1.0000e-03 eta: 7:42:42 time: 0.2300 data_time: 0.0190 memory: 6108 grad_norm: 7.8324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2190 loss: 1.2190 2022/07/23 08:20:53 - mmengine - INFO - Epoch(train) [69][2720/3757] lr: 1.0000e-03 eta: 7:42:37 time: 0.2334 data_time: 0.0266 memory: 6108 grad_norm: 8.2158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/07/23 08:20:57 - mmengine - INFO - Epoch(train) [69][2740/3757] lr: 1.0000e-03 eta: 7:42:32 time: 0.2366 data_time: 0.0228 memory: 6108 grad_norm: 7.9650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5669 loss: 1.5669 2022/07/23 08:21:02 - mmengine - INFO - Epoch(train) [69][2760/3757] lr: 1.0000e-03 eta: 7:42:28 time: 0.2421 data_time: 0.0332 memory: 6108 grad_norm: 8.5667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/07/23 08:21:07 - mmengine - INFO - Epoch(train) [69][2780/3757] lr: 1.0000e-03 eta: 7:42:23 time: 0.2326 data_time: 0.0261 memory: 6108 grad_norm: 8.1079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2626 loss: 1.2626 2022/07/23 08:21:12 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 1.0000e-03 eta: 7:42:18 time: 0.2276 data_time: 0.0251 memory: 6108 grad_norm: 8.0142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5300 loss: 1.5300 2022/07/23 08:21:17 - mmengine - INFO - Epoch(train) [69][2820/3757] lr: 1.0000e-03 eta: 7:42:14 time: 0.2604 data_time: 0.0192 memory: 6108 grad_norm: 7.9390 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2589 loss: 1.2589 2022/07/23 08:21:22 - mmengine - INFO - Epoch(train) [69][2840/3757] lr: 1.0000e-03 eta: 7:42:09 time: 0.2358 data_time: 0.0237 memory: 6108 grad_norm: 7.8415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3222 loss: 1.3222 2022/07/23 08:21:26 - mmengine - INFO - Epoch(train) [69][2860/3757] lr: 1.0000e-03 eta: 7:42:04 time: 0.2219 data_time: 0.0205 memory: 6108 grad_norm: 7.9382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4114 loss: 1.4114 2022/07/23 08:21:31 - mmengine - INFO - Epoch(train) [69][2880/3757] lr: 1.0000e-03 eta: 7:41:59 time: 0.2464 data_time: 0.0215 memory: 6108 grad_norm: 7.9440 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5008 loss: 1.5008 2022/07/23 08:21:36 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 1.0000e-03 eta: 7:41:55 time: 0.2650 data_time: 0.0272 memory: 6108 grad_norm: 7.8658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3841 loss: 1.3841 2022/07/23 08:21:41 - mmengine - INFO - Epoch(train) [69][2920/3757] lr: 1.0000e-03 eta: 7:41:50 time: 0.2266 data_time: 0.0232 memory: 6108 grad_norm: 7.8128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3595 loss: 1.3595 2022/07/23 08:21:45 - mmengine - INFO - Epoch(train) [69][2940/3757] lr: 1.0000e-03 eta: 7:41:45 time: 0.2204 data_time: 0.0203 memory: 6108 grad_norm: 8.1181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/07/23 08:21:50 - mmengine - INFO - Epoch(train) [69][2960/3757] lr: 1.0000e-03 eta: 7:41:41 time: 0.2292 data_time: 0.0263 memory: 6108 grad_norm: 7.9503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3694 loss: 1.3694 2022/07/23 08:21:55 - mmengine - INFO - Epoch(train) [69][2980/3757] lr: 1.0000e-03 eta: 7:41:36 time: 0.2567 data_time: 0.0211 memory: 6108 grad_norm: 8.1145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0866 loss: 1.0866 2022/07/23 08:22:00 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 1.0000e-03 eta: 7:41:31 time: 0.2492 data_time: 0.0173 memory: 6108 grad_norm: 8.3349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3186 loss: 1.3186 2022/07/23 08:22:05 - mmengine - INFO - Epoch(train) [69][3020/3757] lr: 1.0000e-03 eta: 7:41:27 time: 0.2350 data_time: 0.0340 memory: 6108 grad_norm: 7.9960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2106 loss: 1.2106 2022/07/23 08:22:09 - mmengine - INFO - Epoch(train) [69][3040/3757] lr: 1.0000e-03 eta: 7:41:22 time: 0.2214 data_time: 0.0177 memory: 6108 grad_norm: 8.4334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5546 loss: 1.5546 2022/07/23 08:22:14 - mmengine - INFO - Epoch(train) [69][3060/3757] lr: 1.0000e-03 eta: 7:41:17 time: 0.2541 data_time: 0.0203 memory: 6108 grad_norm: 7.8546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/07/23 08:22:19 - mmengine - INFO - Epoch(train) [69][3080/3757] lr: 1.0000e-03 eta: 7:41:12 time: 0.2205 data_time: 0.0227 memory: 6108 grad_norm: 8.4143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3810 loss: 1.3810 2022/07/23 08:22:23 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 1.0000e-03 eta: 7:41:08 time: 0.2265 data_time: 0.0240 memory: 6108 grad_norm: 8.0575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4212 loss: 1.4212 2022/07/23 08:22:28 - mmengine - INFO - Epoch(train) [69][3120/3757] lr: 1.0000e-03 eta: 7:41:03 time: 0.2592 data_time: 0.0212 memory: 6108 grad_norm: 7.8299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3484 loss: 1.3484 2022/07/23 08:22:33 - mmengine - INFO - Epoch(train) [69][3140/3757] lr: 1.0000e-03 eta: 7:40:58 time: 0.2437 data_time: 0.0231 memory: 6108 grad_norm: 7.9479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/07/23 08:22:38 - mmengine - INFO - Epoch(train) [69][3160/3757] lr: 1.0000e-03 eta: 7:40:54 time: 0.2228 data_time: 0.0242 memory: 6108 grad_norm: 8.2878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6281 loss: 1.6281 2022/07/23 08:22:42 - mmengine - INFO - Epoch(train) [69][3180/3757] lr: 1.0000e-03 eta: 7:40:49 time: 0.2291 data_time: 0.0249 memory: 6108 grad_norm: 8.3668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/07/23 08:22:47 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 1.0000e-03 eta: 7:40:44 time: 0.2314 data_time: 0.0246 memory: 6108 grad_norm: 8.1691 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3777 loss: 1.3777 2022/07/23 08:22:52 - mmengine - INFO - Epoch(train) [69][3220/3757] lr: 1.0000e-03 eta: 7:40:39 time: 0.2295 data_time: 0.0252 memory: 6108 grad_norm: 7.9016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2221 loss: 1.2221 2022/07/23 08:22:57 - mmengine - INFO - Epoch(train) [69][3240/3757] lr: 1.0000e-03 eta: 7:40:35 time: 0.2502 data_time: 0.0430 memory: 6108 grad_norm: 8.2179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/07/23 08:23:01 - mmengine - INFO - Epoch(train) [69][3260/3757] lr: 1.0000e-03 eta: 7:40:30 time: 0.2288 data_time: 0.0226 memory: 6108 grad_norm: 8.0692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4648 loss: 1.4648 2022/07/23 08:23:06 - mmengine - INFO - Epoch(train) [69][3280/3757] lr: 1.0000e-03 eta: 7:40:25 time: 0.2289 data_time: 0.0254 memory: 6108 grad_norm: 8.2732 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/07/23 08:23:11 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 1.0000e-03 eta: 7:40:20 time: 0.2286 data_time: 0.0246 memory: 6108 grad_norm: 7.8262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/07/23 08:23:15 - mmengine - INFO - Epoch(train) [69][3320/3757] lr: 1.0000e-03 eta: 7:40:15 time: 0.2316 data_time: 0.0234 memory: 6108 grad_norm: 8.1281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3530 loss: 1.3530 2022/07/23 08:23:20 - mmengine - INFO - Epoch(train) [69][3340/3757] lr: 1.0000e-03 eta: 7:40:11 time: 0.2300 data_time: 0.0224 memory: 6108 grad_norm: 8.0373 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3379 loss: 1.3379 2022/07/23 08:23:25 - mmengine - INFO - Epoch(train) [69][3360/3757] lr: 1.0000e-03 eta: 7:40:06 time: 0.2330 data_time: 0.0269 memory: 6108 grad_norm: 8.0673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/07/23 08:23:29 - mmengine - INFO - Epoch(train) [69][3380/3757] lr: 1.0000e-03 eta: 7:40:01 time: 0.2451 data_time: 0.0231 memory: 6108 grad_norm: 7.9891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2687 loss: 1.2687 2022/07/23 08:23:34 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 1.0000e-03 eta: 7:39:57 time: 0.2320 data_time: 0.0231 memory: 6108 grad_norm: 7.8142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/07/23 08:23:39 - mmengine - INFO - Epoch(train) [69][3420/3757] lr: 1.0000e-03 eta: 7:39:52 time: 0.2356 data_time: 0.0234 memory: 6108 grad_norm: 8.0539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5123 loss: 1.5123 2022/07/23 08:23:43 - mmengine - INFO - Epoch(train) [69][3440/3757] lr: 1.0000e-03 eta: 7:39:47 time: 0.2284 data_time: 0.0233 memory: 6108 grad_norm: 7.6797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4027 loss: 1.4027 2022/07/23 08:23:48 - mmengine - INFO - Epoch(train) [69][3460/3757] lr: 1.0000e-03 eta: 7:39:42 time: 0.2319 data_time: 0.0219 memory: 6108 grad_norm: 7.9746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1174 loss: 1.1174 2022/07/23 08:23:53 - mmengine - INFO - Epoch(train) [69][3480/3757] lr: 1.0000e-03 eta: 7:39:37 time: 0.2281 data_time: 0.0225 memory: 6108 grad_norm: 8.1213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3514 loss: 1.3514 2022/07/23 08:23:57 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 1.0000e-03 eta: 7:39:33 time: 0.2282 data_time: 0.0223 memory: 6108 grad_norm: 8.1571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2585 loss: 1.2585 2022/07/23 08:24:02 - mmengine - INFO - Epoch(train) [69][3520/3757] lr: 1.0000e-03 eta: 7:39:28 time: 0.2301 data_time: 0.0231 memory: 6108 grad_norm: 7.9543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2052 loss: 1.2052 2022/07/23 08:24:03 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:24:07 - mmengine - INFO - Epoch(train) [69][3540/3757] lr: 1.0000e-03 eta: 7:39:23 time: 0.2370 data_time: 0.0207 memory: 6108 grad_norm: 8.1011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1349 loss: 1.1349 2022/07/23 08:24:12 - mmengine - INFO - Epoch(train) [69][3560/3757] lr: 1.0000e-03 eta: 7:39:18 time: 0.2404 data_time: 0.0229 memory: 6108 grad_norm: 8.3929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/07/23 08:24:16 - mmengine - INFO - Epoch(train) [69][3580/3757] lr: 1.0000e-03 eta: 7:39:14 time: 0.2324 data_time: 0.0196 memory: 6108 grad_norm: 8.1414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/07/23 08:24:21 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 1.0000e-03 eta: 7:39:09 time: 0.2312 data_time: 0.0240 memory: 6108 grad_norm: 8.1094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/07/23 08:24:30 - mmengine - INFO - Epoch(train) [69][3620/3757] lr: 1.0000e-03 eta: 7:39:06 time: 0.4601 data_time: 0.0274 memory: 6108 grad_norm: 8.2651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2915 loss: 1.2915 2022/07/23 08:24:35 - mmengine - INFO - Epoch(train) [69][3640/3757] lr: 1.0000e-03 eta: 7:39:02 time: 0.2446 data_time: 0.0192 memory: 6108 grad_norm: 8.7415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7194 loss: 1.7194 2022/07/23 08:24:40 - mmengine - INFO - Epoch(train) [69][3660/3757] lr: 1.0000e-03 eta: 7:38:57 time: 0.2302 data_time: 0.0214 memory: 6108 grad_norm: 7.9560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2414 loss: 1.2414 2022/07/23 08:24:44 - mmengine - INFO - Epoch(train) [69][3680/3757] lr: 1.0000e-03 eta: 7:38:52 time: 0.2257 data_time: 0.0203 memory: 6108 grad_norm: 8.3483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2900 loss: 1.2900 2022/07/23 08:24:49 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 1.0000e-03 eta: 7:38:47 time: 0.2485 data_time: 0.0214 memory: 6108 grad_norm: 7.9938 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/07/23 08:24:54 - mmengine - INFO - Epoch(train) [69][3720/3757] lr: 1.0000e-03 eta: 7:38:43 time: 0.2294 data_time: 0.0246 memory: 6108 grad_norm: 8.2780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/07/23 08:24:58 - mmengine - INFO - Epoch(train) [69][3740/3757] lr: 1.0000e-03 eta: 7:38:38 time: 0.2254 data_time: 0.0216 memory: 6108 grad_norm: 8.1714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6473 loss: 1.6473 2022/07/23 08:25:02 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:25:02 - mmengine - INFO - Epoch(train) [69][3757/3757] lr: 1.0000e-03 eta: 7:38:38 time: 0.1978 data_time: 0.0178 memory: 6108 grad_norm: 8.2216 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3881 loss: 1.3881 2022/07/23 08:25:08 - mmengine - INFO - Epoch(val) [69][20/310] eta: 0:01:26 time: 0.2969 data_time: 0.2120 memory: 1428 2022/07/23 08:25:11 - mmengine - INFO - Epoch(val) [69][40/310] eta: 0:00:48 time: 0.1786 data_time: 0.1018 memory: 1428 2022/07/23 08:25:16 - mmengine - INFO - Epoch(val) [69][60/310] eta: 0:00:58 time: 0.2360 data_time: 0.1597 memory: 1428 2022/07/23 08:25:20 - mmengine - INFO - Epoch(val) [69][80/310] eta: 0:00:42 time: 0.1831 data_time: 0.1073 memory: 1428 2022/07/23 08:25:24 - mmengine - INFO - Epoch(val) [69][100/310] eta: 0:00:47 time: 0.2269 data_time: 0.1536 memory: 1428 2022/07/23 08:25:28 - mmengine - INFO - Epoch(val) [69][120/310] eta: 0:00:36 time: 0.1924 data_time: 0.1192 memory: 1428 2022/07/23 08:25:33 - mmengine - INFO - Epoch(val) [69][140/310] eta: 0:00:39 time: 0.2303 data_time: 0.1566 memory: 1428 2022/07/23 08:25:37 - mmengine - INFO - Epoch(val) [69][160/310] eta: 0:00:31 time: 0.2067 data_time: 0.1318 memory: 1428 2022/07/23 08:25:41 - mmengine - INFO - Epoch(val) [69][180/310] eta: 0:00:30 time: 0.2337 data_time: 0.1561 memory: 1428 2022/07/23 08:25:45 - mmengine - INFO - Epoch(val) [69][200/310] eta: 0:00:19 time: 0.1810 data_time: 0.1020 memory: 1428 2022/07/23 08:25:50 - mmengine - INFO - Epoch(val) [69][220/310] eta: 0:00:21 time: 0.2414 data_time: 0.1674 memory: 1428 2022/07/23 08:25:54 - mmengine - INFO - Epoch(val) [69][240/310] eta: 0:00:13 time: 0.1888 data_time: 0.1155 memory: 1428 2022/07/23 08:25:59 - mmengine - INFO - Epoch(val) [69][260/310] eta: 0:00:12 time: 0.2419 data_time: 0.1681 memory: 1428 2022/07/23 08:26:02 - mmengine - INFO - Epoch(val) [69][280/310] eta: 0:00:05 time: 0.1866 data_time: 0.1111 memory: 1428 2022/07/23 08:26:07 - mmengine - INFO - Epoch(val) [69][300/310] eta: 0:00:02 time: 0.2214 data_time: 0.1347 memory: 1428 2022/07/23 08:26:11 - mmengine - INFO - Epoch(val) [69][310/310] acc/top1: 0.6523 acc/top5: 0.8588 acc/mean1: 0.6522 2022/07/23 08:26:18 - mmengine - INFO - Epoch(train) [70][20/3757] lr: 1.0000e-03 eta: 7:38:28 time: 0.3268 data_time: 0.0909 memory: 6108 grad_norm: 8.0395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2429 loss: 1.2429 2022/07/23 08:26:22 - mmengine - INFO - Epoch(train) [70][40/3757] lr: 1.0000e-03 eta: 7:38:23 time: 0.2336 data_time: 0.0198 memory: 6108 grad_norm: 8.1871 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.2553 loss: 1.2553 2022/07/23 08:26:27 - mmengine - INFO - Epoch(train) [70][60/3757] lr: 1.0000e-03 eta: 7:38:19 time: 0.2505 data_time: 0.0254 memory: 6108 grad_norm: 8.0759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/07/23 08:26:32 - mmengine - INFO - Epoch(train) [70][80/3757] lr: 1.0000e-03 eta: 7:38:14 time: 0.2334 data_time: 0.0243 memory: 6108 grad_norm: 8.1596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2910 loss: 1.2910 2022/07/23 08:26:37 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 1.0000e-03 eta: 7:38:09 time: 0.2329 data_time: 0.0216 memory: 6108 grad_norm: 7.9775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3579 loss: 1.3579 2022/07/23 08:26:42 - mmengine - INFO - Epoch(train) [70][120/3757] lr: 1.0000e-03 eta: 7:38:05 time: 0.2580 data_time: 0.0196 memory: 6108 grad_norm: 8.1765 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3231 loss: 1.3231 2022/07/23 08:26:47 - mmengine - INFO - Epoch(train) [70][140/3757] lr: 1.0000e-03 eta: 7:38:00 time: 0.2461 data_time: 0.0170 memory: 6108 grad_norm: 8.0222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/07/23 08:26:51 - mmengine - INFO - Epoch(train) [70][160/3757] lr: 1.0000e-03 eta: 7:37:55 time: 0.2255 data_time: 0.0194 memory: 6108 grad_norm: 7.8929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2481 loss: 1.2481 2022/07/23 08:26:56 - mmengine - INFO - Epoch(train) [70][180/3757] lr: 1.0000e-03 eta: 7:37:50 time: 0.2320 data_time: 0.0207 memory: 6108 grad_norm: 7.4306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3535 loss: 1.3535 2022/07/23 08:27:01 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 1.0000e-03 eta: 7:37:46 time: 0.2309 data_time: 0.0205 memory: 6108 grad_norm: 7.8117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2659 loss: 1.2659 2022/07/23 08:27:06 - mmengine - INFO - Epoch(train) [70][220/3757] lr: 1.0000e-03 eta: 7:37:41 time: 0.2407 data_time: 0.0222 memory: 6108 grad_norm: 8.3978 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1669 loss: 1.1669 2022/07/23 08:27:11 - mmengine - INFO - Epoch(train) [70][240/3757] lr: 1.0000e-03 eta: 7:37:36 time: 0.2510 data_time: 0.0237 memory: 6108 grad_norm: 7.8775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2853 loss: 1.2853 2022/07/23 08:27:15 - mmengine - INFO - Epoch(train) [70][260/3757] lr: 1.0000e-03 eta: 7:37:32 time: 0.2261 data_time: 0.0197 memory: 6108 grad_norm: 8.2140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3779 loss: 1.3779 2022/07/23 08:27:20 - mmengine - INFO - Epoch(train) [70][280/3757] lr: 1.0000e-03 eta: 7:37:27 time: 0.2319 data_time: 0.0300 memory: 6108 grad_norm: 8.0876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3787 loss: 1.3787 2022/07/23 08:27:25 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 1.0000e-03 eta: 7:37:22 time: 0.2372 data_time: 0.0249 memory: 6108 grad_norm: 7.8535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5893 loss: 1.5893 2022/07/23 08:27:29 - mmengine - INFO - Epoch(train) [70][320/3757] lr: 1.0000e-03 eta: 7:37:17 time: 0.2288 data_time: 0.0223 memory: 6108 grad_norm: 7.9446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4247 loss: 1.4247 2022/07/23 08:27:34 - mmengine - INFO - Epoch(train) [70][340/3757] lr: 1.0000e-03 eta: 7:37:12 time: 0.2304 data_time: 0.0239 memory: 6108 grad_norm: 7.6275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/07/23 08:27:39 - mmengine - INFO - Epoch(train) [70][360/3757] lr: 1.0000e-03 eta: 7:37:08 time: 0.2357 data_time: 0.0230 memory: 6108 grad_norm: 7.7423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2054 loss: 1.2054 2022/07/23 08:27:43 - mmengine - INFO - Epoch(train) [70][380/3757] lr: 1.0000e-03 eta: 7:37:03 time: 0.2325 data_time: 0.0224 memory: 6108 grad_norm: 8.2455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3638 loss: 1.3638 2022/07/23 08:27:48 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 1.0000e-03 eta: 7:36:58 time: 0.2451 data_time: 0.0209 memory: 6108 grad_norm: 7.9922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/07/23 08:27:53 - mmengine - INFO - Epoch(train) [70][420/3757] lr: 1.0000e-03 eta: 7:36:54 time: 0.2306 data_time: 0.0272 memory: 6108 grad_norm: 7.9424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2249 loss: 1.2249 2022/07/23 08:27:57 - mmengine - INFO - Epoch(train) [70][440/3757] lr: 1.0000e-03 eta: 7:36:49 time: 0.2314 data_time: 0.0230 memory: 6108 grad_norm: 8.2513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/07/23 08:28:02 - mmengine - INFO - Epoch(train) [70][460/3757] lr: 1.0000e-03 eta: 7:36:44 time: 0.2310 data_time: 0.0224 memory: 6108 grad_norm: 8.0721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/07/23 08:28:07 - mmengine - INFO - Epoch(train) [70][480/3757] lr: 1.0000e-03 eta: 7:36:39 time: 0.2427 data_time: 0.0187 memory: 6108 grad_norm: 7.9877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2841 loss: 1.2841 2022/07/23 08:28:12 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 1.0000e-03 eta: 7:36:35 time: 0.2330 data_time: 0.0218 memory: 6108 grad_norm: 8.0710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3967 loss: 1.3967 2022/07/23 08:28:16 - mmengine - INFO - Epoch(train) [70][520/3757] lr: 1.0000e-03 eta: 7:36:30 time: 0.2315 data_time: 0.0211 memory: 6108 grad_norm: 8.0752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/07/23 08:28:21 - mmengine - INFO - Epoch(train) [70][540/3757] lr: 1.0000e-03 eta: 7:36:25 time: 0.2306 data_time: 0.0203 memory: 6108 grad_norm: 8.2320 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5139 loss: 1.5139 2022/07/23 08:28:26 - mmengine - INFO - Epoch(train) [70][560/3757] lr: 1.0000e-03 eta: 7:36:20 time: 0.2484 data_time: 0.0212 memory: 6108 grad_norm: 7.9609 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2368 loss: 1.2368 2022/07/23 08:28:31 - mmengine - INFO - Epoch(train) [70][580/3757] lr: 1.0000e-03 eta: 7:36:16 time: 0.2279 data_time: 0.0247 memory: 6108 grad_norm: 8.1972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/07/23 08:28:35 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 1.0000e-03 eta: 7:36:11 time: 0.2425 data_time: 0.0335 memory: 6108 grad_norm: 8.0097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2786 loss: 1.2786 2022/07/23 08:28:40 - mmengine - INFO - Epoch(train) [70][620/3757] lr: 1.0000e-03 eta: 7:36:06 time: 0.2422 data_time: 0.0390 memory: 6108 grad_norm: 7.6914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3801 loss: 1.3801 2022/07/23 08:28:45 - mmengine - INFO - Epoch(train) [70][640/3757] lr: 1.0000e-03 eta: 7:36:02 time: 0.2384 data_time: 0.0217 memory: 6108 grad_norm: 8.1463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3565 loss: 1.3565 2022/07/23 08:28:54 - mmengine - INFO - Epoch(train) [70][660/3757] lr: 1.0000e-03 eta: 7:35:59 time: 0.4418 data_time: 0.0166 memory: 6108 grad_norm: 7.9761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2112 loss: 1.2112 2022/07/23 08:28:59 - mmengine - INFO - Epoch(train) [70][680/3757] lr: 1.0000e-03 eta: 7:35:54 time: 0.2316 data_time: 0.0270 memory: 6108 grad_norm: 7.8845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2466 loss: 1.2466 2022/07/23 08:29:03 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 1.0000e-03 eta: 7:35:49 time: 0.2316 data_time: 0.0192 memory: 6108 grad_norm: 7.7178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4078 loss: 1.4078 2022/07/23 08:29:08 - mmengine - INFO - Epoch(train) [70][720/3757] lr: 1.0000e-03 eta: 7:35:45 time: 0.2446 data_time: 0.0268 memory: 6108 grad_norm: 8.0946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/07/23 08:29:13 - mmengine - INFO - Epoch(train) [70][740/3757] lr: 1.0000e-03 eta: 7:35:40 time: 0.2331 data_time: 0.0273 memory: 6108 grad_norm: 8.2081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/07/23 08:29:18 - mmengine - INFO - Epoch(train) [70][760/3757] lr: 1.0000e-03 eta: 7:35:35 time: 0.2382 data_time: 0.0199 memory: 6108 grad_norm: 8.3470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2477 loss: 1.2477 2022/07/23 08:29:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:29:22 - mmengine - INFO - Epoch(train) [70][780/3757] lr: 1.0000e-03 eta: 7:35:30 time: 0.2253 data_time: 0.0209 memory: 6108 grad_norm: 7.8396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2656 loss: 1.2656 2022/07/23 08:29:27 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 1.0000e-03 eta: 7:35:26 time: 0.2442 data_time: 0.0236 memory: 6108 grad_norm: 8.0899 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9269 loss: 0.9269 2022/07/23 08:29:32 - mmengine - INFO - Epoch(train) [70][820/3757] lr: 1.0000e-03 eta: 7:35:21 time: 0.2269 data_time: 0.0213 memory: 6108 grad_norm: 8.0845 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4114 loss: 1.4114 2022/07/23 08:29:36 - mmengine - INFO - Epoch(train) [70][840/3757] lr: 1.0000e-03 eta: 7:35:16 time: 0.2267 data_time: 0.0216 memory: 6108 grad_norm: 7.9018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2341 loss: 1.2341 2022/07/23 08:29:41 - mmengine - INFO - Epoch(train) [70][860/3757] lr: 1.0000e-03 eta: 7:35:11 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 8.2459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3575 loss: 1.3575 2022/07/23 08:29:46 - mmengine - INFO - Epoch(train) [70][880/3757] lr: 1.0000e-03 eta: 7:35:07 time: 0.2436 data_time: 0.0244 memory: 6108 grad_norm: 8.0033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2626 loss: 1.2626 2022/07/23 08:29:50 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 1.0000e-03 eta: 7:35:02 time: 0.2270 data_time: 0.0179 memory: 6108 grad_norm: 7.8812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3039 loss: 1.3039 2022/07/23 08:29:55 - mmengine - INFO - Epoch(train) [70][920/3757] lr: 1.0000e-03 eta: 7:34:57 time: 0.2327 data_time: 0.0218 memory: 6108 grad_norm: 7.9319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3285 loss: 1.3285 2022/07/23 08:29:59 - mmengine - INFO - Epoch(train) [70][940/3757] lr: 1.0000e-03 eta: 7:34:52 time: 0.2302 data_time: 0.0197 memory: 6108 grad_norm: 7.9178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4326 loss: 1.4326 2022/07/23 08:30:05 - mmengine - INFO - Epoch(train) [70][960/3757] lr: 1.0000e-03 eta: 7:34:48 time: 0.2666 data_time: 0.0231 memory: 6108 grad_norm: 8.1314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/07/23 08:30:09 - mmengine - INFO - Epoch(train) [70][980/3757] lr: 1.0000e-03 eta: 7:34:43 time: 0.2250 data_time: 0.0195 memory: 6108 grad_norm: 7.9254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4192 loss: 1.4192 2022/07/23 08:30:14 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 1.0000e-03 eta: 7:34:38 time: 0.2252 data_time: 0.0214 memory: 6108 grad_norm: 8.3260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/07/23 08:30:18 - mmengine - INFO - Epoch(train) [70][1020/3757] lr: 1.0000e-03 eta: 7:34:33 time: 0.2287 data_time: 0.0206 memory: 6108 grad_norm: 8.1936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1994 loss: 1.1994 2022/07/23 08:30:23 - mmengine - INFO - Epoch(train) [70][1040/3757] lr: 1.0000e-03 eta: 7:34:28 time: 0.2269 data_time: 0.0212 memory: 6108 grad_norm: 8.4265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1222 loss: 1.1222 2022/07/23 08:30:28 - mmengine - INFO - Epoch(train) [70][1060/3757] lr: 1.0000e-03 eta: 7:34:24 time: 0.2432 data_time: 0.0208 memory: 6108 grad_norm: 8.0300 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3522 loss: 1.3522 2022/07/23 08:30:33 - mmengine - INFO - Epoch(train) [70][1080/3757] lr: 1.0000e-03 eta: 7:34:19 time: 0.2300 data_time: 0.0194 memory: 6108 grad_norm: 7.7785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1065 loss: 1.1065 2022/07/23 08:30:37 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 1.0000e-03 eta: 7:34:14 time: 0.2326 data_time: 0.0254 memory: 6108 grad_norm: 8.0477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/07/23 08:30:42 - mmengine - INFO - Epoch(train) [70][1120/3757] lr: 1.0000e-03 eta: 7:34:09 time: 0.2297 data_time: 0.0185 memory: 6108 grad_norm: 8.1110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4556 loss: 1.4556 2022/07/23 08:30:47 - mmengine - INFO - Epoch(train) [70][1140/3757] lr: 1.0000e-03 eta: 7:34:05 time: 0.2423 data_time: 0.0205 memory: 6108 grad_norm: 7.9373 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/07/23 08:30:51 - mmengine - INFO - Epoch(train) [70][1160/3757] lr: 1.0000e-03 eta: 7:34:00 time: 0.2267 data_time: 0.0247 memory: 6108 grad_norm: 8.0340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/07/23 08:31:01 - mmengine - INFO - Epoch(train) [70][1180/3757] lr: 1.0000e-03 eta: 7:33:58 time: 0.4926 data_time: 0.0149 memory: 6108 grad_norm: 7.9126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5032 loss: 1.5032 2022/07/23 08:31:06 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 1.0000e-03 eta: 7:33:53 time: 0.2450 data_time: 0.0202 memory: 6108 grad_norm: 7.8303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3444 loss: 1.3444 2022/07/23 08:31:11 - mmengine - INFO - Epoch(train) [70][1220/3757] lr: 1.0000e-03 eta: 7:33:48 time: 0.2266 data_time: 0.0241 memory: 6108 grad_norm: 8.3150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4440 loss: 1.4440 2022/07/23 08:31:15 - mmengine - INFO - Epoch(train) [70][1240/3757] lr: 1.0000e-03 eta: 7:33:43 time: 0.2355 data_time: 0.0239 memory: 6108 grad_norm: 8.2540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3683 loss: 1.3683 2022/07/23 08:31:20 - mmengine - INFO - Epoch(train) [70][1260/3757] lr: 1.0000e-03 eta: 7:33:39 time: 0.2408 data_time: 0.0238 memory: 6108 grad_norm: 8.1197 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4652 loss: 1.4652 2022/07/23 08:31:25 - mmengine - INFO - Epoch(train) [70][1280/3757] lr: 1.0000e-03 eta: 7:33:34 time: 0.2352 data_time: 0.0212 memory: 6108 grad_norm: 8.2067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1214 loss: 1.1214 2022/07/23 08:31:30 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 1.0000e-03 eta: 7:33:29 time: 0.2341 data_time: 0.0208 memory: 6108 grad_norm: 7.9922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/07/23 08:31:35 - mmengine - INFO - Epoch(train) [70][1320/3757] lr: 1.0000e-03 eta: 7:33:25 time: 0.2473 data_time: 0.0262 memory: 6108 grad_norm: 8.3382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4819 loss: 1.4819 2022/07/23 08:31:39 - mmengine - INFO - Epoch(train) [70][1340/3757] lr: 1.0000e-03 eta: 7:33:20 time: 0.2279 data_time: 0.0291 memory: 6108 grad_norm: 7.8467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3501 loss: 1.3501 2022/07/23 08:31:44 - mmengine - INFO - Epoch(train) [70][1360/3757] lr: 1.0000e-03 eta: 7:33:15 time: 0.2291 data_time: 0.0244 memory: 6108 grad_norm: 8.1171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4588 loss: 1.4588 2022/07/23 08:31:49 - mmengine - INFO - Epoch(train) [70][1380/3757] lr: 1.0000e-03 eta: 7:33:10 time: 0.2373 data_time: 0.0278 memory: 6108 grad_norm: 8.2987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4419 loss: 1.4419 2022/07/23 08:31:53 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 1.0000e-03 eta: 7:33:05 time: 0.2260 data_time: 0.0208 memory: 6108 grad_norm: 8.1108 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2503 loss: 1.2503 2022/07/23 08:31:58 - mmengine - INFO - Epoch(train) [70][1420/3757] lr: 1.0000e-03 eta: 7:33:01 time: 0.2468 data_time: 0.0238 memory: 6108 grad_norm: 7.9752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2178 loss: 1.2178 2022/07/23 08:32:03 - mmengine - INFO - Epoch(train) [70][1440/3757] lr: 1.0000e-03 eta: 7:32:56 time: 0.2292 data_time: 0.0289 memory: 6108 grad_norm: 8.2477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2047 loss: 1.2047 2022/07/23 08:32:07 - mmengine - INFO - Epoch(train) [70][1460/3757] lr: 1.0000e-03 eta: 7:32:51 time: 0.2305 data_time: 0.0283 memory: 6108 grad_norm: 8.4763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/07/23 08:32:12 - mmengine - INFO - Epoch(train) [70][1480/3757] lr: 1.0000e-03 eta: 7:32:46 time: 0.2279 data_time: 0.0207 memory: 6108 grad_norm: 8.1931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1827 loss: 1.1827 2022/07/23 08:32:17 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 1.0000e-03 eta: 7:32:42 time: 0.2320 data_time: 0.0228 memory: 6108 grad_norm: 7.5881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3757 loss: 1.3757 2022/07/23 08:32:21 - mmengine - INFO - Epoch(train) [70][1520/3757] lr: 1.0000e-03 eta: 7:32:37 time: 0.2279 data_time: 0.0191 memory: 6108 grad_norm: 8.2695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6155 loss: 1.6155 2022/07/23 08:32:26 - mmengine - INFO - Epoch(train) [70][1540/3757] lr: 1.0000e-03 eta: 7:32:32 time: 0.2314 data_time: 0.0284 memory: 6108 grad_norm: 7.9758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1819 loss: 1.1819 2022/07/23 08:32:30 - mmengine - INFO - Epoch(train) [70][1560/3757] lr: 1.0000e-03 eta: 7:32:27 time: 0.2303 data_time: 0.0256 memory: 6108 grad_norm: 8.4229 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1910 loss: 1.1910 2022/07/23 08:32:35 - mmengine - INFO - Epoch(train) [70][1580/3757] lr: 1.0000e-03 eta: 7:32:23 time: 0.2449 data_time: 0.0231 memory: 6108 grad_norm: 8.0432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6797 loss: 1.6797 2022/07/23 08:32:40 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 1.0000e-03 eta: 7:32:18 time: 0.2324 data_time: 0.0197 memory: 6108 grad_norm: 8.3971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0819 loss: 1.0819 2022/07/23 08:32:45 - mmengine - INFO - Epoch(train) [70][1620/3757] lr: 1.0000e-03 eta: 7:32:13 time: 0.2555 data_time: 0.0286 memory: 6108 grad_norm: 8.1668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3613 loss: 1.3613 2022/07/23 08:32:50 - mmengine - INFO - Epoch(train) [70][1640/3757] lr: 1.0000e-03 eta: 7:32:09 time: 0.2203 data_time: 0.0224 memory: 6108 grad_norm: 7.9170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2123 loss: 1.2123 2022/07/23 08:32:54 - mmengine - INFO - Epoch(train) [70][1660/3757] lr: 1.0000e-03 eta: 7:32:04 time: 0.2399 data_time: 0.0214 memory: 6108 grad_norm: 8.3241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/07/23 08:32:59 - mmengine - INFO - Epoch(train) [70][1680/3757] lr: 1.0000e-03 eta: 7:31:59 time: 0.2294 data_time: 0.0235 memory: 6108 grad_norm: 8.2067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4100 loss: 1.4100 2022/07/23 08:33:04 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 1.0000e-03 eta: 7:31:54 time: 0.2301 data_time: 0.0282 memory: 6108 grad_norm: 8.0874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4349 loss: 1.4349 2022/07/23 08:33:08 - mmengine - INFO - Epoch(train) [70][1720/3757] lr: 1.0000e-03 eta: 7:31:49 time: 0.2260 data_time: 0.0267 memory: 6108 grad_norm: 8.1477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4622 loss: 1.4622 2022/07/23 08:33:13 - mmengine - INFO - Epoch(train) [70][1740/3757] lr: 1.0000e-03 eta: 7:31:45 time: 0.2338 data_time: 0.0223 memory: 6108 grad_norm: 8.2318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2115 loss: 1.2115 2022/07/23 08:33:18 - mmengine - INFO - Epoch(train) [70][1760/3757] lr: 1.0000e-03 eta: 7:31:40 time: 0.2337 data_time: 0.0270 memory: 6108 grad_norm: 7.8835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/07/23 08:33:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:33:22 - mmengine - INFO - Epoch(train) [70][1780/3757] lr: 1.0000e-03 eta: 7:31:35 time: 0.2299 data_time: 0.0215 memory: 6108 grad_norm: 8.4973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2880 loss: 1.2880 2022/07/23 08:33:27 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 1.0000e-03 eta: 7:31:30 time: 0.2359 data_time: 0.0260 memory: 6108 grad_norm: 8.1680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2447 loss: 1.2447 2022/07/23 08:33:32 - mmengine - INFO - Epoch(train) [70][1820/3757] lr: 1.0000e-03 eta: 7:31:26 time: 0.2289 data_time: 0.0221 memory: 6108 grad_norm: 8.1012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/07/23 08:33:36 - mmengine - INFO - Epoch(train) [70][1840/3757] lr: 1.0000e-03 eta: 7:31:21 time: 0.2331 data_time: 0.0207 memory: 6108 grad_norm: 7.9539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4071 loss: 1.4071 2022/07/23 08:33:41 - mmengine - INFO - Epoch(train) [70][1860/3757] lr: 1.0000e-03 eta: 7:31:16 time: 0.2281 data_time: 0.0307 memory: 6108 grad_norm: 8.2987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2529 loss: 1.2529 2022/07/23 08:33:46 - mmengine - INFO - Epoch(train) [70][1880/3757] lr: 1.0000e-03 eta: 7:31:11 time: 0.2496 data_time: 0.0225 memory: 6108 grad_norm: 8.2993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/07/23 08:33:50 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 1.0000e-03 eta: 7:31:07 time: 0.2275 data_time: 0.0186 memory: 6108 grad_norm: 8.4194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2211 loss: 1.2211 2022/07/23 08:33:55 - mmengine - INFO - Epoch(train) [70][1920/3757] lr: 1.0000e-03 eta: 7:31:02 time: 0.2286 data_time: 0.0254 memory: 6108 grad_norm: 7.9945 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2501 loss: 1.2501 2022/07/23 08:34:00 - mmengine - INFO - Epoch(train) [70][1940/3757] lr: 1.0000e-03 eta: 7:30:57 time: 0.2304 data_time: 0.0253 memory: 6108 grad_norm: 7.9964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/07/23 08:34:04 - mmengine - INFO - Epoch(train) [70][1960/3757] lr: 1.0000e-03 eta: 7:30:52 time: 0.2343 data_time: 0.0231 memory: 6108 grad_norm: 8.1560 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2158 loss: 1.2158 2022/07/23 08:34:09 - mmengine - INFO - Epoch(train) [70][1980/3757] lr: 1.0000e-03 eta: 7:30:48 time: 0.2383 data_time: 0.0295 memory: 6108 grad_norm: 8.2554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3954 loss: 1.3954 2022/07/23 08:34:14 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 1.0000e-03 eta: 7:30:43 time: 0.2303 data_time: 0.0197 memory: 6108 grad_norm: 8.1843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3940 loss: 1.3940 2022/07/23 08:34:18 - mmengine - INFO - Epoch(train) [70][2020/3757] lr: 1.0000e-03 eta: 7:30:38 time: 0.2301 data_time: 0.0200 memory: 6108 grad_norm: 8.2303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4096 loss: 1.4096 2022/07/23 08:34:23 - mmengine - INFO - Epoch(train) [70][2040/3757] lr: 1.0000e-03 eta: 7:30:33 time: 0.2252 data_time: 0.0197 memory: 6108 grad_norm: 8.4057 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2942 loss: 1.2942 2022/07/23 08:34:28 - mmengine - INFO - Epoch(train) [70][2060/3757] lr: 1.0000e-03 eta: 7:30:29 time: 0.2464 data_time: 0.0179 memory: 6108 grad_norm: 8.1258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1790 loss: 1.1790 2022/07/23 08:34:33 - mmengine - INFO - Epoch(train) [70][2080/3757] lr: 1.0000e-03 eta: 7:30:24 time: 0.2371 data_time: 0.0183 memory: 6108 grad_norm: 7.9815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1182 loss: 1.1182 2022/07/23 08:34:37 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 1.0000e-03 eta: 7:30:19 time: 0.2268 data_time: 0.0209 memory: 6108 grad_norm: 8.1482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3405 loss: 1.3405 2022/07/23 08:34:42 - mmengine - INFO - Epoch(train) [70][2120/3757] lr: 1.0000e-03 eta: 7:30:14 time: 0.2290 data_time: 0.0206 memory: 6108 grad_norm: 7.9544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5402 loss: 1.5402 2022/07/23 08:34:47 - mmengine - INFO - Epoch(train) [70][2140/3757] lr: 1.0000e-03 eta: 7:30:10 time: 0.2580 data_time: 0.0185 memory: 6108 grad_norm: 8.1557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3605 loss: 1.3605 2022/07/23 08:34:52 - mmengine - INFO - Epoch(train) [70][2160/3757] lr: 1.0000e-03 eta: 7:30:05 time: 0.2284 data_time: 0.0249 memory: 6108 grad_norm: 8.1994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4280 loss: 1.4280 2022/07/23 08:34:56 - mmengine - INFO - Epoch(train) [70][2180/3757] lr: 1.0000e-03 eta: 7:30:00 time: 0.2307 data_time: 0.0209 memory: 6108 grad_norm: 8.2232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3432 loss: 1.3432 2022/07/23 08:35:01 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 1.0000e-03 eta: 7:29:55 time: 0.2316 data_time: 0.0226 memory: 6108 grad_norm: 7.8236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2831 loss: 1.2831 2022/07/23 08:35:06 - mmengine - INFO - Epoch(train) [70][2220/3757] lr: 1.0000e-03 eta: 7:29:51 time: 0.2345 data_time: 0.0249 memory: 6108 grad_norm: 8.3244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/07/23 08:35:10 - mmengine - INFO - Epoch(train) [70][2240/3757] lr: 1.0000e-03 eta: 7:29:46 time: 0.2320 data_time: 0.0230 memory: 6108 grad_norm: 8.4162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1750 loss: 1.1750 2022/07/23 08:35:15 - mmengine - INFO - Epoch(train) [70][2260/3757] lr: 1.0000e-03 eta: 7:29:41 time: 0.2357 data_time: 0.0231 memory: 6108 grad_norm: 8.0253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2982 loss: 1.2982 2022/07/23 08:35:20 - mmengine - INFO - Epoch(train) [70][2280/3757] lr: 1.0000e-03 eta: 7:29:36 time: 0.2271 data_time: 0.0213 memory: 6108 grad_norm: 8.1842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3197 loss: 1.3197 2022/07/23 08:35:24 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 1.0000e-03 eta: 7:29:32 time: 0.2269 data_time: 0.0204 memory: 6108 grad_norm: 8.1918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/07/23 08:35:29 - mmengine - INFO - Epoch(train) [70][2320/3757] lr: 1.0000e-03 eta: 7:29:27 time: 0.2334 data_time: 0.0187 memory: 6108 grad_norm: 7.9639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4533 loss: 1.4533 2022/07/23 08:35:33 - mmengine - INFO - Epoch(train) [70][2340/3757] lr: 1.0000e-03 eta: 7:29:22 time: 0.2269 data_time: 0.0224 memory: 6108 grad_norm: 8.2959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3541 loss: 1.3541 2022/07/23 08:35:38 - mmengine - INFO - Epoch(train) [70][2360/3757] lr: 1.0000e-03 eta: 7:29:17 time: 0.2433 data_time: 0.0218 memory: 6108 grad_norm: 7.8566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2408 loss: 1.2408 2022/07/23 08:35:43 - mmengine - INFO - Epoch(train) [70][2380/3757] lr: 1.0000e-03 eta: 7:29:13 time: 0.2326 data_time: 0.0226 memory: 6108 grad_norm: 8.3285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1416 loss: 1.1416 2022/07/23 08:35:48 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 1.0000e-03 eta: 7:29:08 time: 0.2323 data_time: 0.0206 memory: 6108 grad_norm: 7.7068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2739 loss: 1.2739 2022/07/23 08:35:52 - mmengine - INFO - Epoch(train) [70][2420/3757] lr: 1.0000e-03 eta: 7:29:03 time: 0.2266 data_time: 0.0201 memory: 6108 grad_norm: 7.9973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1685 loss: 1.1685 2022/07/23 08:35:57 - mmengine - INFO - Epoch(train) [70][2440/3757] lr: 1.0000e-03 eta: 7:28:58 time: 0.2357 data_time: 0.0220 memory: 6108 grad_norm: 7.8858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/07/23 08:36:02 - mmengine - INFO - Epoch(train) [70][2460/3757] lr: 1.0000e-03 eta: 7:28:54 time: 0.2338 data_time: 0.0252 memory: 6108 grad_norm: 7.9790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2948 loss: 1.2948 2022/07/23 08:36:06 - mmengine - INFO - Epoch(train) [70][2480/3757] lr: 1.0000e-03 eta: 7:28:49 time: 0.2313 data_time: 0.0203 memory: 6108 grad_norm: 8.0790 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/07/23 08:36:11 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 1.0000e-03 eta: 7:28:44 time: 0.2288 data_time: 0.0215 memory: 6108 grad_norm: 7.9328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3171 loss: 1.3171 2022/07/23 08:36:16 - mmengine - INFO - Epoch(train) [70][2520/3757] lr: 1.0000e-03 eta: 7:28:39 time: 0.2394 data_time: 0.0207 memory: 6108 grad_norm: 8.1977 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4437 loss: 1.4437 2022/07/23 08:36:20 - mmengine - INFO - Epoch(train) [70][2540/3757] lr: 1.0000e-03 eta: 7:28:35 time: 0.2290 data_time: 0.0214 memory: 6108 grad_norm: 8.3512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/07/23 08:36:25 - mmengine - INFO - Epoch(train) [70][2560/3757] lr: 1.0000e-03 eta: 7:28:30 time: 0.2289 data_time: 0.0216 memory: 6108 grad_norm: 8.1665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0940 loss: 1.0940 2022/07/23 08:36:30 - mmengine - INFO - Epoch(train) [70][2580/3757] lr: 1.0000e-03 eta: 7:28:25 time: 0.2316 data_time: 0.0239 memory: 6108 grad_norm: 8.2917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3088 loss: 1.3088 2022/07/23 08:36:34 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 1.0000e-03 eta: 7:28:20 time: 0.2343 data_time: 0.0237 memory: 6108 grad_norm: 8.1889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4144 loss: 1.4144 2022/07/23 08:36:39 - mmengine - INFO - Epoch(train) [70][2620/3757] lr: 1.0000e-03 eta: 7:28:16 time: 0.2495 data_time: 0.0221 memory: 6108 grad_norm: 8.3529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1872 loss: 1.1872 2022/07/23 08:36:44 - mmengine - INFO - Epoch(train) [70][2640/3757] lr: 1.0000e-03 eta: 7:28:11 time: 0.2300 data_time: 0.0279 memory: 6108 grad_norm: 8.2037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2404 loss: 1.2404 2022/07/23 08:36:49 - mmengine - INFO - Epoch(train) [70][2660/3757] lr: 1.0000e-03 eta: 7:28:06 time: 0.2571 data_time: 0.0202 memory: 6108 grad_norm: 8.0808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4410 loss: 1.4410 2022/07/23 08:36:54 - mmengine - INFO - Epoch(train) [70][2680/3757] lr: 1.0000e-03 eta: 7:28:02 time: 0.2340 data_time: 0.0206 memory: 6108 grad_norm: 8.0491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2895 loss: 1.2895 2022/07/23 08:36:58 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 1.0000e-03 eta: 7:27:57 time: 0.2290 data_time: 0.0214 memory: 6108 grad_norm: 8.3605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/07/23 08:37:03 - mmengine - INFO - Epoch(train) [70][2720/3757] lr: 1.0000e-03 eta: 7:27:52 time: 0.2301 data_time: 0.0202 memory: 6108 grad_norm: 8.3674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1550 loss: 1.1550 2022/07/23 08:37:08 - mmengine - INFO - Epoch(train) [70][2740/3757] lr: 1.0000e-03 eta: 7:27:47 time: 0.2343 data_time: 0.0258 memory: 6108 grad_norm: 8.3092 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4648 loss: 1.4648 2022/07/23 08:37:12 - mmengine - INFO - Epoch(train) [70][2760/3757] lr: 1.0000e-03 eta: 7:27:43 time: 0.2318 data_time: 0.0249 memory: 6108 grad_norm: 8.2501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1233 loss: 1.1233 2022/07/23 08:37:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:37:17 - mmengine - INFO - Epoch(train) [70][2780/3757] lr: 1.0000e-03 eta: 7:27:38 time: 0.2241 data_time: 0.0193 memory: 6108 grad_norm: 8.0328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2247 loss: 1.2247 2022/07/23 08:37:21 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 1.0000e-03 eta: 7:27:33 time: 0.2274 data_time: 0.0232 memory: 6108 grad_norm: 8.0228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2457 loss: 1.2457 2022/07/23 08:37:27 - mmengine - INFO - Epoch(train) [70][2820/3757] lr: 1.0000e-03 eta: 7:27:28 time: 0.2650 data_time: 0.0257 memory: 6108 grad_norm: 7.6800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2332 loss: 1.2332 2022/07/23 08:37:31 - mmengine - INFO - Epoch(train) [70][2840/3757] lr: 1.0000e-03 eta: 7:27:24 time: 0.2234 data_time: 0.0175 memory: 6108 grad_norm: 8.1293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6065 loss: 1.6065 2022/07/23 08:37:36 - mmengine - INFO - Epoch(train) [70][2860/3757] lr: 1.0000e-03 eta: 7:27:19 time: 0.2285 data_time: 0.0204 memory: 6108 grad_norm: 7.9977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/07/23 08:37:40 - mmengine - INFO - Epoch(train) [70][2880/3757] lr: 1.0000e-03 eta: 7:27:14 time: 0.2273 data_time: 0.0233 memory: 6108 grad_norm: 8.3649 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2997 loss: 1.2997 2022/07/23 08:37:46 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 1.0000e-03 eta: 7:27:10 time: 0.2833 data_time: 0.0166 memory: 6108 grad_norm: 8.1368 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3799 loss: 1.3799 2022/07/23 08:37:51 - mmengine - INFO - Epoch(train) [70][2920/3757] lr: 1.0000e-03 eta: 7:27:05 time: 0.2298 data_time: 0.0214 memory: 6108 grad_norm: 8.2918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/07/23 08:37:55 - mmengine - INFO - Epoch(train) [70][2940/3757] lr: 1.0000e-03 eta: 7:27:00 time: 0.2330 data_time: 0.0254 memory: 6108 grad_norm: 8.2196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4109 loss: 1.4109 2022/07/23 08:38:00 - mmengine - INFO - Epoch(train) [70][2960/3757] lr: 1.0000e-03 eta: 7:26:55 time: 0.2288 data_time: 0.0177 memory: 6108 grad_norm: 8.1780 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4730 loss: 1.4730 2022/07/23 08:38:05 - mmengine - INFO - Epoch(train) [70][2980/3757] lr: 1.0000e-03 eta: 7:26:51 time: 0.2382 data_time: 0.0268 memory: 6108 grad_norm: 8.0738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/07/23 08:38:10 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 1.0000e-03 eta: 7:26:46 time: 0.2326 data_time: 0.0173 memory: 6108 grad_norm: 8.2618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3169 loss: 1.3169 2022/07/23 08:38:14 - mmengine - INFO - Epoch(train) [70][3020/3757] lr: 1.0000e-03 eta: 7:26:41 time: 0.2327 data_time: 0.0261 memory: 6108 grad_norm: 8.1222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3577 loss: 1.3577 2022/07/23 08:38:19 - mmengine - INFO - Epoch(train) [70][3040/3757] lr: 1.0000e-03 eta: 7:26:36 time: 0.2342 data_time: 0.0234 memory: 6108 grad_norm: 8.3528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4196 loss: 1.4196 2022/07/23 08:38:23 - mmengine - INFO - Epoch(train) [70][3060/3757] lr: 1.0000e-03 eta: 7:26:32 time: 0.2267 data_time: 0.0231 memory: 6108 grad_norm: 8.0030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2902 loss: 1.2902 2022/07/23 08:38:28 - mmengine - INFO - Epoch(train) [70][3080/3757] lr: 1.0000e-03 eta: 7:26:27 time: 0.2434 data_time: 0.0223 memory: 6108 grad_norm: 8.1629 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4285 loss: 1.4285 2022/07/23 08:38:33 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 1.0000e-03 eta: 7:26:22 time: 0.2284 data_time: 0.0270 memory: 6108 grad_norm: 8.3491 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/07/23 08:38:38 - mmengine - INFO - Epoch(train) [70][3120/3757] lr: 1.0000e-03 eta: 7:26:17 time: 0.2275 data_time: 0.0193 memory: 6108 grad_norm: 8.1322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/07/23 08:38:42 - mmengine - INFO - Epoch(train) [70][3140/3757] lr: 1.0000e-03 eta: 7:26:13 time: 0.2320 data_time: 0.0258 memory: 6108 grad_norm: 8.6022 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2632 loss: 1.2632 2022/07/23 08:38:47 - mmengine - INFO - Epoch(train) [70][3160/3757] lr: 1.0000e-03 eta: 7:26:08 time: 0.2392 data_time: 0.0246 memory: 6108 grad_norm: 8.1265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3478 loss: 1.3478 2022/07/23 08:38:52 - mmengine - INFO - Epoch(train) [70][3180/3757] lr: 1.0000e-03 eta: 7:26:03 time: 0.2299 data_time: 0.0184 memory: 6108 grad_norm: 7.9019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2330 loss: 1.2330 2022/07/23 08:38:56 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 1.0000e-03 eta: 7:25:58 time: 0.2290 data_time: 0.0197 memory: 6108 grad_norm: 8.1585 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1888 loss: 1.1888 2022/07/23 08:39:01 - mmengine - INFO - Epoch(train) [70][3220/3757] lr: 1.0000e-03 eta: 7:25:53 time: 0.2288 data_time: 0.0223 memory: 6108 grad_norm: 8.2959 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1669 loss: 1.1669 2022/07/23 08:39:06 - mmengine - INFO - Epoch(train) [70][3240/3757] lr: 1.0000e-03 eta: 7:25:49 time: 0.2464 data_time: 0.0202 memory: 6108 grad_norm: 8.2823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3406 loss: 1.3406 2022/07/23 08:39:10 - mmengine - INFO - Epoch(train) [70][3260/3757] lr: 1.0000e-03 eta: 7:25:44 time: 0.2263 data_time: 0.0156 memory: 6108 grad_norm: 8.3393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/07/23 08:39:15 - mmengine - INFO - Epoch(train) [70][3280/3757] lr: 1.0000e-03 eta: 7:25:39 time: 0.2332 data_time: 0.0283 memory: 6108 grad_norm: 8.3664 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1660 loss: 1.1660 2022/07/23 08:39:20 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 1.0000e-03 eta: 7:25:35 time: 0.2305 data_time: 0.0225 memory: 6108 grad_norm: 8.1982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3319 loss: 1.3319 2022/07/23 08:39:24 - mmengine - INFO - Epoch(train) [70][3320/3757] lr: 1.0000e-03 eta: 7:25:30 time: 0.2340 data_time: 0.0206 memory: 6108 grad_norm: 7.6998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4194 loss: 1.4194 2022/07/23 08:39:29 - mmengine - INFO - Epoch(train) [70][3340/3757] lr: 1.0000e-03 eta: 7:25:25 time: 0.2378 data_time: 0.0198 memory: 6108 grad_norm: 8.1592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2299 loss: 1.2299 2022/07/23 08:39:34 - mmengine - INFO - Epoch(train) [70][3360/3757] lr: 1.0000e-03 eta: 7:25:20 time: 0.2265 data_time: 0.0190 memory: 6108 grad_norm: 8.2398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4895 loss: 1.4895 2022/07/23 08:39:38 - mmengine - INFO - Epoch(train) [70][3380/3757] lr: 1.0000e-03 eta: 7:25:16 time: 0.2322 data_time: 0.0267 memory: 6108 grad_norm: 8.2603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4795 loss: 1.4795 2022/07/23 08:39:43 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 1.0000e-03 eta: 7:25:11 time: 0.2301 data_time: 0.0227 memory: 6108 grad_norm: 8.0678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2746 loss: 1.2746 2022/07/23 08:39:48 - mmengine - INFO - Epoch(train) [70][3420/3757] lr: 1.0000e-03 eta: 7:25:06 time: 0.2457 data_time: 0.0176 memory: 6108 grad_norm: 8.4299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5728 loss: 1.5728 2022/07/23 08:39:52 - mmengine - INFO - Epoch(train) [70][3440/3757] lr: 1.0000e-03 eta: 7:25:01 time: 0.2239 data_time: 0.0209 memory: 6108 grad_norm: 7.9638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3624 loss: 1.3624 2022/07/23 08:39:57 - mmengine - INFO - Epoch(train) [70][3460/3757] lr: 1.0000e-03 eta: 7:24:57 time: 0.2356 data_time: 0.0228 memory: 6108 grad_norm: 7.7714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/07/23 08:40:02 - mmengine - INFO - Epoch(train) [70][3480/3757] lr: 1.0000e-03 eta: 7:24:52 time: 0.2332 data_time: 0.0211 memory: 6108 grad_norm: 8.6336 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5589 loss: 1.5589 2022/07/23 08:40:07 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 1.0000e-03 eta: 7:24:47 time: 0.2492 data_time: 0.0211 memory: 6108 grad_norm: 8.5612 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6584 loss: 1.6584 2022/07/23 08:40:11 - mmengine - INFO - Epoch(train) [70][3520/3757] lr: 1.0000e-03 eta: 7:24:42 time: 0.2257 data_time: 0.0201 memory: 6108 grad_norm: 8.2689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5139 loss: 1.5139 2022/07/23 08:40:16 - mmengine - INFO - Epoch(train) [70][3540/3757] lr: 1.0000e-03 eta: 7:24:38 time: 0.2306 data_time: 0.0293 memory: 6108 grad_norm: 8.1155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/07/23 08:40:21 - mmengine - INFO - Epoch(train) [70][3560/3757] lr: 1.0000e-03 eta: 7:24:33 time: 0.2261 data_time: 0.0171 memory: 6108 grad_norm: 8.1086 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/07/23 08:40:25 - mmengine - INFO - Epoch(train) [70][3580/3757] lr: 1.0000e-03 eta: 7:24:28 time: 0.2388 data_time: 0.0243 memory: 6108 grad_norm: 8.1899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2616 loss: 1.2616 2022/07/23 08:40:30 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 1.0000e-03 eta: 7:24:23 time: 0.2326 data_time: 0.0217 memory: 6108 grad_norm: 8.1011 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0874 loss: 1.0874 2022/07/23 08:40:35 - mmengine - INFO - Epoch(train) [70][3620/3757] lr: 1.0000e-03 eta: 7:24:18 time: 0.2264 data_time: 0.0190 memory: 6108 grad_norm: 8.2715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4235 loss: 1.4235 2022/07/23 08:49:07 - mmengine - INFO - Epoch(train) [70][3640/3757] lr: 1.0000e-03 eta: 7:27:52 time: 25.6260 data_time: 0.0247 memory: 6108 grad_norm: 8.1351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1373 loss: 1.1373 2022/07/23 08:49:13 - mmengine - INFO - Epoch(train) [70][3660/3757] lr: 1.0000e-03 eta: 7:27:47 time: 0.2939 data_time: 0.1011 memory: 6108 grad_norm: 8.2928 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4452 loss: 1.4452 2022/07/23 08:49:19 - mmengine - INFO - Epoch(train) [70][3680/3757] lr: 1.0000e-03 eta: 7:27:43 time: 0.2974 data_time: 0.0245 memory: 6108 grad_norm: 8.0509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3585 loss: 1.3585 2022/07/23 08:49:24 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 1.0000e-03 eta: 7:27:38 time: 0.2486 data_time: 0.0176 memory: 6108 grad_norm: 8.1049 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4112 loss: 1.4112 2022/07/23 08:49:30 - mmengine - INFO - Epoch(train) [70][3720/3757] lr: 1.0000e-03 eta: 7:27:34 time: 0.3011 data_time: 0.0175 memory: 6108 grad_norm: 7.8286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3550 loss: 1.3550 2022/07/23 08:49:35 - mmengine - INFO - Epoch(train) [70][3740/3757] lr: 1.0000e-03 eta: 7:27:30 time: 0.2586 data_time: 0.0226 memory: 6108 grad_norm: 7.9852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/07/23 08:49:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:49:39 - mmengine - INFO - Epoch(train) [70][3757/3757] lr: 1.0000e-03 eta: 7:27:30 time: 0.2077 data_time: 0.0188 memory: 6108 grad_norm: 8.1020 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 1.4619 loss: 1.4619 2022/07/23 08:49:39 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/07/23 08:49:53 - mmengine - INFO - Epoch(val) [70][20/310] eta: 0:01:19 time: 0.2724 data_time: 0.1970 memory: 1428 2022/07/23 08:49:57 - mmengine - INFO - Epoch(val) [70][40/310] eta: 0:00:50 time: 0.1886 data_time: 0.1152 memory: 1428 2022/07/23 08:50:01 - mmengine - INFO - Epoch(val) [70][60/310] eta: 0:00:53 time: 0.2130 data_time: 0.1398 memory: 1428 2022/07/23 08:50:06 - mmengine - INFO - Epoch(val) [70][80/310] eta: 0:00:49 time: 0.2161 data_time: 0.1433 memory: 1428 2022/07/23 08:50:10 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:00:45 time: 0.2164 data_time: 0.1394 memory: 1428 2022/07/23 08:50:14 - mmengine - INFO - Epoch(val) [70][120/310] eta: 0:00:40 time: 0.2127 data_time: 0.1349 memory: 1428 2022/07/23 08:50:19 - mmengine - INFO - Epoch(val) [70][140/310] eta: 0:00:38 time: 0.2238 data_time: 0.1496 memory: 1428 2022/07/23 08:50:23 - mmengine - INFO - Epoch(val) [70][160/310] eta: 0:00:35 time: 0.2343 data_time: 0.1598 memory: 1428 2022/07/23 08:50:27 - mmengine - INFO - Epoch(val) [70][180/310] eta: 0:00:25 time: 0.1962 data_time: 0.1192 memory: 1428 2022/07/23 08:50:32 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:00:24 time: 0.2228 data_time: 0.1475 memory: 1428 2022/07/23 08:50:36 - mmengine - INFO - Epoch(val) [70][220/310] eta: 0:00:17 time: 0.1908 data_time: 0.1171 memory: 1428 2022/07/23 08:50:40 - mmengine - INFO - Epoch(val) [70][240/310] eta: 0:00:16 time: 0.2320 data_time: 0.1568 memory: 1428 2022/07/23 08:50:44 - mmengine - INFO - Epoch(val) [70][260/310] eta: 0:00:08 time: 0.1735 data_time: 0.1025 memory: 1428 2022/07/23 08:50:47 - mmengine - INFO - Epoch(val) [70][280/310] eta: 0:00:04 time: 0.1630 data_time: 0.1055 memory: 1428 2022/07/23 08:50:49 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:01 time: 0.1171 data_time: 0.0629 memory: 1428 2022/07/23 08:50:52 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.6521 acc/top5: 0.8594 acc/mean1: 0.6519 2022/07/23 08:50:56 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:50:58 - mmengine - INFO - Epoch(train) [71][20/3757] lr: 1.0000e-03 eta: 7:27:20 time: 0.3161 data_time: 0.0860 memory: 6108 grad_norm: 7.9941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3717 loss: 1.3717 2022/07/23 08:51:03 - mmengine - INFO - Epoch(train) [71][40/3757] lr: 1.0000e-03 eta: 7:27:15 time: 0.2346 data_time: 0.0244 memory: 6108 grad_norm: 8.3914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2175 loss: 1.2175 2022/07/23 08:51:08 - mmengine - INFO - Epoch(train) [71][60/3757] lr: 1.0000e-03 eta: 7:27:10 time: 0.2507 data_time: 0.0245 memory: 6108 grad_norm: 8.1470 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4925 loss: 1.4925 2022/07/23 08:51:13 - mmengine - INFO - Epoch(train) [71][80/3757] lr: 1.0000e-03 eta: 7:27:06 time: 0.2320 data_time: 0.0205 memory: 6108 grad_norm: 7.9202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1207 loss: 1.1207 2022/07/23 08:51:17 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 1.0000e-03 eta: 7:27:01 time: 0.2321 data_time: 0.0305 memory: 6108 grad_norm: 7.7618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/07/23 08:51:22 - mmengine - INFO - Epoch(train) [71][120/3757] lr: 1.0000e-03 eta: 7:26:56 time: 0.2265 data_time: 0.0235 memory: 6108 grad_norm: 8.1149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2480 loss: 1.2480 2022/07/23 08:51:26 - mmengine - INFO - Epoch(train) [71][140/3757] lr: 1.0000e-03 eta: 7:26:51 time: 0.2333 data_time: 0.0209 memory: 6108 grad_norm: 8.0432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1482 loss: 1.1482 2022/07/23 08:51:31 - mmengine - INFO - Epoch(train) [71][160/3757] lr: 1.0000e-03 eta: 7:26:46 time: 0.2335 data_time: 0.0215 memory: 6108 grad_norm: 8.0062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4339 loss: 1.4339 2022/07/23 08:51:36 - mmengine - INFO - Epoch(train) [71][180/3757] lr: 1.0000e-03 eta: 7:26:42 time: 0.2460 data_time: 0.0192 memory: 6108 grad_norm: 8.1009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/07/23 08:51:41 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 1.0000e-03 eta: 7:26:37 time: 0.2324 data_time: 0.0198 memory: 6108 grad_norm: 8.0356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3320 loss: 1.3320 2022/07/23 08:51:45 - mmengine - INFO - Epoch(train) [71][220/3757] lr: 1.0000e-03 eta: 7:26:32 time: 0.2309 data_time: 0.0232 memory: 6108 grad_norm: 8.1449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1148 loss: 1.1148 2022/07/23 08:51:50 - mmengine - INFO - Epoch(train) [71][240/3757] lr: 1.0000e-03 eta: 7:26:27 time: 0.2391 data_time: 0.0223 memory: 6108 grad_norm: 8.1182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1612 loss: 1.1612 2022/07/23 08:51:55 - mmengine - INFO - Epoch(train) [71][260/3757] lr: 1.0000e-03 eta: 7:26:22 time: 0.2276 data_time: 0.0194 memory: 6108 grad_norm: 8.1738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2984 loss: 1.2984 2022/07/23 08:51:59 - mmengine - INFO - Epoch(train) [71][280/3757] lr: 1.0000e-03 eta: 7:26:17 time: 0.2335 data_time: 0.0235 memory: 6108 grad_norm: 8.1117 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3407 loss: 1.3407 2022/07/23 08:52:04 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 1.0000e-03 eta: 7:26:13 time: 0.2301 data_time: 0.0263 memory: 6108 grad_norm: 8.2913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3468 loss: 1.3468 2022/07/23 08:52:09 - mmengine - INFO - Epoch(train) [71][320/3757] lr: 1.0000e-03 eta: 7:26:08 time: 0.2426 data_time: 0.0224 memory: 6108 grad_norm: 8.2657 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.3871 loss: 1.3871 2022/07/23 08:52:14 - mmengine - INFO - Epoch(train) [71][340/3757] lr: 1.0000e-03 eta: 7:26:03 time: 0.2275 data_time: 0.0208 memory: 6108 grad_norm: 7.7787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/07/23 08:52:18 - mmengine - INFO - Epoch(train) [71][360/3757] lr: 1.0000e-03 eta: 7:25:58 time: 0.2327 data_time: 0.0221 memory: 6108 grad_norm: 8.3212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3248 loss: 1.3248 2022/07/23 08:52:23 - mmengine - INFO - Epoch(train) [71][380/3757] lr: 1.0000e-03 eta: 7:25:54 time: 0.2582 data_time: 0.0251 memory: 6108 grad_norm: 7.8147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/07/23 08:52:28 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 1.0000e-03 eta: 7:25:49 time: 0.2407 data_time: 0.0219 memory: 6108 grad_norm: 8.0832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3728 loss: 1.3728 2022/07/23 08:52:33 - mmengine - INFO - Epoch(train) [71][420/3757] lr: 1.0000e-03 eta: 7:25:44 time: 0.2295 data_time: 0.0287 memory: 6108 grad_norm: 8.0759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3257 loss: 1.3257 2022/07/23 08:52:37 - mmengine - INFO - Epoch(train) [71][440/3757] lr: 1.0000e-03 eta: 7:25:39 time: 0.2297 data_time: 0.0198 memory: 6108 grad_norm: 8.1560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/07/23 08:52:42 - mmengine - INFO - Epoch(train) [71][460/3757] lr: 1.0000e-03 eta: 7:25:34 time: 0.2267 data_time: 0.0174 memory: 6108 grad_norm: 8.3118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2947 loss: 1.2947 2022/07/23 08:52:47 - mmengine - INFO - Epoch(train) [71][480/3757] lr: 1.0000e-03 eta: 7:25:30 time: 0.2559 data_time: 0.0248 memory: 6108 grad_norm: 7.7919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2438 loss: 1.2438 2022/07/23 08:52:52 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 1.0000e-03 eta: 7:25:25 time: 0.2301 data_time: 0.0178 memory: 6108 grad_norm: 8.1186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/07/23 08:52:56 - mmengine - INFO - Epoch(train) [71][520/3757] lr: 1.0000e-03 eta: 7:25:20 time: 0.2320 data_time: 0.0285 memory: 6108 grad_norm: 8.4907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5591 loss: 1.5591 2022/07/23 08:53:01 - mmengine - INFO - Epoch(train) [71][540/3757] lr: 1.0000e-03 eta: 7:25:15 time: 0.2310 data_time: 0.0310 memory: 6108 grad_norm: 8.4168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2174 loss: 1.2174 2022/07/23 08:53:06 - mmengine - INFO - Epoch(train) [71][560/3757] lr: 1.0000e-03 eta: 7:25:10 time: 0.2291 data_time: 0.0265 memory: 6108 grad_norm: 7.8506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3547 loss: 1.3547 2022/07/23 08:53:10 - mmengine - INFO - Epoch(train) [71][580/3757] lr: 1.0000e-03 eta: 7:25:06 time: 0.2324 data_time: 0.0212 memory: 6108 grad_norm: 8.3409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/07/23 08:53:15 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 1.0000e-03 eta: 7:25:01 time: 0.2276 data_time: 0.0211 memory: 6108 grad_norm: 8.4942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/07/23 08:53:20 - mmengine - INFO - Epoch(train) [71][620/3757] lr: 1.0000e-03 eta: 7:24:56 time: 0.2318 data_time: 0.0175 memory: 6108 grad_norm: 8.1415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4003 loss: 1.4003 2022/07/23 08:53:24 - mmengine - INFO - Epoch(train) [71][640/3757] lr: 1.0000e-03 eta: 7:24:51 time: 0.2298 data_time: 0.0204 memory: 6108 grad_norm: 8.0312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/07/23 08:53:29 - mmengine - INFO - Epoch(train) [71][660/3757] lr: 1.0000e-03 eta: 7:24:46 time: 0.2361 data_time: 0.0294 memory: 6108 grad_norm: 8.4478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4236 loss: 1.4236 2022/07/23 08:53:34 - mmengine - INFO - Epoch(train) [71][680/3757] lr: 1.0000e-03 eta: 7:24:42 time: 0.2318 data_time: 0.0248 memory: 6108 grad_norm: 8.1764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5592 loss: 1.5592 2022/07/23 08:53:39 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 1.0000e-03 eta: 7:24:37 time: 0.2549 data_time: 0.0229 memory: 6108 grad_norm: 8.2999 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0393 loss: 1.0393 2022/07/23 08:53:43 - mmengine - INFO - Epoch(train) [71][720/3757] lr: 1.0000e-03 eta: 7:24:32 time: 0.2254 data_time: 0.0204 memory: 6108 grad_norm: 8.1908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3904 loss: 1.3904 2022/07/23 08:53:49 - mmengine - INFO - Epoch(train) [71][740/3757] lr: 1.0000e-03 eta: 7:24:28 time: 0.2670 data_time: 0.0162 memory: 6108 grad_norm: 8.4358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1857 loss: 1.1857 2022/07/23 08:53:53 - mmengine - INFO - Epoch(train) [71][760/3757] lr: 1.0000e-03 eta: 7:24:23 time: 0.2276 data_time: 0.0203 memory: 6108 grad_norm: 8.2418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5162 loss: 1.5162 2022/07/23 08:53:58 - mmengine - INFO - Epoch(train) [71][780/3757] lr: 1.0000e-03 eta: 7:24:18 time: 0.2270 data_time: 0.0230 memory: 6108 grad_norm: 8.1988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1778 loss: 1.1778 2022/07/23 08:54:02 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 1.0000e-03 eta: 7:24:13 time: 0.2290 data_time: 0.0245 memory: 6108 grad_norm: 8.0440 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4038 loss: 1.4038 2022/07/23 08:54:07 - mmengine - INFO - Epoch(train) [71][820/3757] lr: 1.0000e-03 eta: 7:24:08 time: 0.2409 data_time: 0.0205 memory: 6108 grad_norm: 7.8277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6494 loss: 1.6494 2022/07/23 08:54:12 - mmengine - INFO - Epoch(train) [71][840/3757] lr: 1.0000e-03 eta: 7:24:03 time: 0.2281 data_time: 0.0217 memory: 6108 grad_norm: 8.0372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3086 loss: 1.3086 2022/07/23 08:54:16 - mmengine - INFO - Epoch(train) [71][860/3757] lr: 1.0000e-03 eta: 7:23:59 time: 0.2291 data_time: 0.0237 memory: 6108 grad_norm: 8.2423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3604 loss: 1.3604 2022/07/23 08:54:21 - mmengine - INFO - Epoch(train) [71][880/3757] lr: 1.0000e-03 eta: 7:23:54 time: 0.2260 data_time: 0.0191 memory: 6108 grad_norm: 7.9377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4360 loss: 1.4360 2022/07/23 08:54:26 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 1.0000e-03 eta: 7:23:49 time: 0.2574 data_time: 0.0204 memory: 6108 grad_norm: 8.1896 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3660 loss: 1.3660 2022/07/23 08:54:31 - mmengine - INFO - Epoch(train) [71][920/3757] lr: 1.0000e-03 eta: 7:23:44 time: 0.2505 data_time: 0.0467 memory: 6108 grad_norm: 8.0805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/07/23 08:54:36 - mmengine - INFO - Epoch(train) [71][940/3757] lr: 1.0000e-03 eta: 7:23:40 time: 0.2293 data_time: 0.0211 memory: 6108 grad_norm: 7.9668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4487 loss: 1.4487 2022/07/23 08:54:41 - mmengine - INFO - Epoch(train) [71][960/3757] lr: 1.0000e-03 eta: 7:23:35 time: 0.2400 data_time: 0.0226 memory: 6108 grad_norm: 8.2298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/07/23 08:54:46 - mmengine - INFO - Epoch(train) [71][980/3757] lr: 1.0000e-03 eta: 7:23:30 time: 0.2503 data_time: 0.0522 memory: 6108 grad_norm: 8.0301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3102 loss: 1.3102 2022/07/23 08:54:50 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 1.0000e-03 eta: 7:23:25 time: 0.2357 data_time: 0.0304 memory: 6108 grad_norm: 8.0860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0301 loss: 1.0301 2022/07/23 08:54:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:54:55 - mmengine - INFO - Epoch(train) [71][1020/3757] lr: 1.0000e-03 eta: 7:23:21 time: 0.2484 data_time: 0.0444 memory: 6108 grad_norm: 8.2849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3585 loss: 1.3585 2022/07/23 08:55:00 - mmengine - INFO - Epoch(train) [71][1040/3757] lr: 1.0000e-03 eta: 7:23:16 time: 0.2325 data_time: 0.0200 memory: 6108 grad_norm: 7.9172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3181 loss: 1.3181 2022/07/23 08:55:05 - mmengine - INFO - Epoch(train) [71][1060/3757] lr: 1.0000e-03 eta: 7:23:11 time: 0.2280 data_time: 0.0205 memory: 6108 grad_norm: 8.0833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3160 loss: 1.3160 2022/07/23 08:55:10 - mmengine - INFO - Epoch(train) [71][1080/3757] lr: 1.0000e-03 eta: 7:23:06 time: 0.2572 data_time: 0.0479 memory: 6108 grad_norm: 8.0783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2167 loss: 1.2167 2022/07/23 08:55:14 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 1.0000e-03 eta: 7:23:02 time: 0.2236 data_time: 0.0232 memory: 6108 grad_norm: 8.4704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5057 loss: 1.5057 2022/07/23 08:55:19 - mmengine - INFO - Epoch(train) [71][1120/3757] lr: 1.0000e-03 eta: 7:22:57 time: 0.2323 data_time: 0.0231 memory: 6108 grad_norm: 8.2961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2086 loss: 1.2086 2022/07/23 08:55:24 - mmengine - INFO - Epoch(train) [71][1140/3757] lr: 1.0000e-03 eta: 7:22:52 time: 0.2383 data_time: 0.0245 memory: 6108 grad_norm: 8.0742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2719 loss: 1.2719 2022/07/23 08:55:29 - mmengine - INFO - Epoch(train) [71][1160/3757] lr: 1.0000e-03 eta: 7:22:47 time: 0.2425 data_time: 0.0190 memory: 6108 grad_norm: 8.1489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2763 loss: 1.2763 2022/07/23 08:55:33 - mmengine - INFO - Epoch(train) [71][1180/3757] lr: 1.0000e-03 eta: 7:22:42 time: 0.2306 data_time: 0.0236 memory: 6108 grad_norm: 7.9575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2679 loss: 1.2679 2022/07/23 08:55:38 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 1.0000e-03 eta: 7:22:38 time: 0.2278 data_time: 0.0190 memory: 6108 grad_norm: 8.0981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1264 loss: 1.1264 2022/07/23 08:55:42 - mmengine - INFO - Epoch(train) [71][1220/3757] lr: 1.0000e-03 eta: 7:22:33 time: 0.2282 data_time: 0.0180 memory: 6108 grad_norm: 8.0358 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4253 loss: 1.4253 2022/07/23 08:55:47 - mmengine - INFO - Epoch(train) [71][1240/3757] lr: 1.0000e-03 eta: 7:22:28 time: 0.2299 data_time: 0.0216 memory: 6108 grad_norm: 8.2831 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/07/23 08:55:52 - mmengine - INFO - Epoch(train) [71][1260/3757] lr: 1.0000e-03 eta: 7:22:23 time: 0.2285 data_time: 0.0221 memory: 6108 grad_norm: 8.2062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5921 loss: 1.5921 2022/07/23 08:55:57 - mmengine - INFO - Epoch(train) [71][1280/3757] lr: 1.0000e-03 eta: 7:22:18 time: 0.2415 data_time: 0.0316 memory: 6108 grad_norm: 8.2099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1990 loss: 1.1990 2022/07/23 08:56:02 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 1.0000e-03 eta: 7:22:14 time: 0.2523 data_time: 0.0219 memory: 6108 grad_norm: 8.0999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4111 loss: 1.4111 2022/07/23 08:56:06 - mmengine - INFO - Epoch(train) [71][1320/3757] lr: 1.0000e-03 eta: 7:22:09 time: 0.2341 data_time: 0.0190 memory: 6108 grad_norm: 8.4433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2914 loss: 1.2914 2022/07/23 08:56:11 - mmengine - INFO - Epoch(train) [71][1340/3757] lr: 1.0000e-03 eta: 7:22:04 time: 0.2312 data_time: 0.0204 memory: 6108 grad_norm: 8.0229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2024 loss: 1.2024 2022/07/23 08:56:16 - mmengine - INFO - Epoch(train) [71][1360/3757] lr: 1.0000e-03 eta: 7:21:59 time: 0.2447 data_time: 0.0252 memory: 6108 grad_norm: 8.4566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6603 loss: 1.6603 2022/07/23 08:56:20 - mmengine - INFO - Epoch(train) [71][1380/3757] lr: 1.0000e-03 eta: 7:21:55 time: 0.2252 data_time: 0.0170 memory: 6108 grad_norm: 8.2015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4792 loss: 1.4792 2022/07/23 08:56:25 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 1.0000e-03 eta: 7:21:50 time: 0.2296 data_time: 0.0220 memory: 6108 grad_norm: 8.2777 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4443 loss: 1.4443 2022/07/23 08:56:30 - mmengine - INFO - Epoch(train) [71][1420/3757] lr: 1.0000e-03 eta: 7:21:45 time: 0.2362 data_time: 0.0330 memory: 6108 grad_norm: 8.2114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/23 08:56:35 - mmengine - INFO - Epoch(train) [71][1440/3757] lr: 1.0000e-03 eta: 7:21:40 time: 0.2367 data_time: 0.0308 memory: 6108 grad_norm: 8.0507 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2374 loss: 1.2374 2022/07/23 08:56:39 - mmengine - INFO - Epoch(train) [71][1460/3757] lr: 1.0000e-03 eta: 7:21:35 time: 0.2270 data_time: 0.0225 memory: 6108 grad_norm: 8.1869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/07/23 08:56:44 - mmengine - INFO - Epoch(train) [71][1480/3757] lr: 1.0000e-03 eta: 7:21:30 time: 0.2370 data_time: 0.0345 memory: 6108 grad_norm: 8.3914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4613 loss: 1.4613 2022/07/23 08:56:49 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 1.0000e-03 eta: 7:21:26 time: 0.2533 data_time: 0.0549 memory: 6108 grad_norm: 8.4157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5551 loss: 1.5551 2022/07/23 08:56:54 - mmengine - INFO - Epoch(train) [71][1520/3757] lr: 1.0000e-03 eta: 7:21:21 time: 0.2287 data_time: 0.0245 memory: 6108 grad_norm: 8.1815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5042 loss: 1.5042 2022/07/23 08:56:58 - mmengine - INFO - Epoch(train) [71][1540/3757] lr: 1.0000e-03 eta: 7:21:16 time: 0.2346 data_time: 0.0248 memory: 6108 grad_norm: 8.4446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3239 loss: 1.3239 2022/07/23 08:57:03 - mmengine - INFO - Epoch(train) [71][1560/3757] lr: 1.0000e-03 eta: 7:21:11 time: 0.2307 data_time: 0.0204 memory: 6108 grad_norm: 8.1921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1802 loss: 1.1802 2022/07/23 08:57:08 - mmengine - INFO - Epoch(train) [71][1580/3757] lr: 1.0000e-03 eta: 7:21:07 time: 0.2335 data_time: 0.0183 memory: 6108 grad_norm: 8.4161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/23 08:57:12 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 1.0000e-03 eta: 7:21:02 time: 0.2329 data_time: 0.0217 memory: 6108 grad_norm: 8.2649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4414 loss: 1.4414 2022/07/23 08:57:17 - mmengine - INFO - Epoch(train) [71][1620/3757] lr: 1.0000e-03 eta: 7:20:57 time: 0.2316 data_time: 0.0238 memory: 6108 grad_norm: 7.9106 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5731 loss: 1.5731 2022/07/23 08:57:22 - mmengine - INFO - Epoch(train) [71][1640/3757] lr: 1.0000e-03 eta: 7:20:52 time: 0.2294 data_time: 0.0182 memory: 6108 grad_norm: 8.3675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4143 loss: 1.4143 2022/07/23 08:57:27 - mmengine - INFO - Epoch(train) [71][1660/3757] lr: 1.0000e-03 eta: 7:20:48 time: 0.2623 data_time: 0.0201 memory: 6108 grad_norm: 8.3301 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1725 loss: 1.1725 2022/07/23 08:57:31 - mmengine - INFO - Epoch(train) [71][1680/3757] lr: 1.0000e-03 eta: 7:20:43 time: 0.2298 data_time: 0.0214 memory: 6108 grad_norm: 8.0403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2359 loss: 1.2359 2022/07/23 08:57:36 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 1.0000e-03 eta: 7:20:38 time: 0.2308 data_time: 0.0174 memory: 6108 grad_norm: 8.1249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/07/23 08:57:41 - mmengine - INFO - Epoch(train) [71][1720/3757] lr: 1.0000e-03 eta: 7:20:33 time: 0.2347 data_time: 0.0283 memory: 6108 grad_norm: 8.2340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2352 loss: 1.2352 2022/07/23 08:57:45 - mmengine - INFO - Epoch(train) [71][1740/3757] lr: 1.0000e-03 eta: 7:20:28 time: 0.2293 data_time: 0.0211 memory: 6108 grad_norm: 8.0882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3879 loss: 1.3879 2022/07/23 08:57:50 - mmengine - INFO - Epoch(train) [71][1760/3757] lr: 1.0000e-03 eta: 7:20:24 time: 0.2405 data_time: 0.0242 memory: 6108 grad_norm: 7.9900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0350 loss: 1.0350 2022/07/23 08:57:55 - mmengine - INFO - Epoch(train) [71][1780/3757] lr: 1.0000e-03 eta: 7:20:19 time: 0.2336 data_time: 0.0288 memory: 6108 grad_norm: 8.1455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0609 loss: 1.0609 2022/07/23 08:58:00 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 1.0000e-03 eta: 7:20:14 time: 0.2375 data_time: 0.0235 memory: 6108 grad_norm: 8.1668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2104 loss: 1.2104 2022/07/23 08:58:04 - mmengine - INFO - Epoch(train) [71][1820/3757] lr: 1.0000e-03 eta: 7:20:09 time: 0.2257 data_time: 0.0167 memory: 6108 grad_norm: 7.9746 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0551 loss: 1.0551 2022/07/23 08:58:09 - mmengine - INFO - Epoch(train) [71][1840/3757] lr: 1.0000e-03 eta: 7:20:04 time: 0.2306 data_time: 0.0213 memory: 6108 grad_norm: 8.0778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1488 loss: 1.1488 2022/07/23 08:58:14 - mmengine - INFO - Epoch(train) [71][1860/3757] lr: 1.0000e-03 eta: 7:20:00 time: 0.2419 data_time: 0.0232 memory: 6108 grad_norm: 8.1171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2748 loss: 1.2748 2022/07/23 08:58:19 - mmengine - INFO - Epoch(train) [71][1880/3757] lr: 1.0000e-03 eta: 7:19:55 time: 0.2582 data_time: 0.0188 memory: 6108 grad_norm: 8.1488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4071 loss: 1.4071 2022/07/23 08:58:24 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 1.0000e-03 eta: 7:19:50 time: 0.2427 data_time: 0.0267 memory: 6108 grad_norm: 8.0062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/07/23 08:58:28 - mmengine - INFO - Epoch(train) [71][1920/3757] lr: 1.0000e-03 eta: 7:19:45 time: 0.2305 data_time: 0.0213 memory: 6108 grad_norm: 8.2286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7794 loss: 1.7794 2022/07/23 08:58:33 - mmengine - INFO - Epoch(train) [71][1940/3757] lr: 1.0000e-03 eta: 7:19:41 time: 0.2275 data_time: 0.0206 memory: 6108 grad_norm: 8.2459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2171 loss: 1.2171 2022/07/23 08:58:38 - mmengine - INFO - Epoch(train) [71][1960/3757] lr: 1.0000e-03 eta: 7:19:36 time: 0.2554 data_time: 0.0243 memory: 6108 grad_norm: 8.0568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5518 loss: 1.5518 2022/07/23 08:58:43 - mmengine - INFO - Epoch(train) [71][1980/3757] lr: 1.0000e-03 eta: 7:19:31 time: 0.2216 data_time: 0.0193 memory: 6108 grad_norm: 8.2440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3402 loss: 1.3402 2022/07/23 08:58:47 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 1.0000e-03 eta: 7:19:26 time: 0.2366 data_time: 0.0242 memory: 6108 grad_norm: 7.9461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/07/23 08:58:50 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 08:58:52 - mmengine - INFO - Epoch(train) [71][2020/3757] lr: 1.0000e-03 eta: 7:19:22 time: 0.2493 data_time: 0.0219 memory: 6108 grad_norm: 8.1102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/07/23 08:58:57 - mmengine - INFO - Epoch(train) [71][2040/3757] lr: 1.0000e-03 eta: 7:19:17 time: 0.2395 data_time: 0.0251 memory: 6108 grad_norm: 8.2770 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/07/23 08:59:02 - mmengine - INFO - Epoch(train) [71][2060/3757] lr: 1.0000e-03 eta: 7:19:12 time: 0.2378 data_time: 0.0183 memory: 6108 grad_norm: 8.3367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/07/23 08:59:07 - mmengine - INFO - Epoch(train) [71][2080/3757] lr: 1.0000e-03 eta: 7:19:07 time: 0.2273 data_time: 0.0202 memory: 6108 grad_norm: 7.9155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3513 loss: 1.3513 2022/07/23 08:59:11 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 1.0000e-03 eta: 7:19:02 time: 0.2312 data_time: 0.0270 memory: 6108 grad_norm: 8.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/07/23 08:59:16 - mmengine - INFO - Epoch(train) [71][2120/3757] lr: 1.0000e-03 eta: 7:18:58 time: 0.2279 data_time: 0.0266 memory: 6108 grad_norm: 8.0702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4466 loss: 1.4466 2022/07/23 08:59:21 - mmengine - INFO - Epoch(train) [71][2140/3757] lr: 1.0000e-03 eta: 7:18:53 time: 0.2397 data_time: 0.0236 memory: 6108 grad_norm: 8.1188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3345 loss: 1.3345 2022/07/23 08:59:25 - mmengine - INFO - Epoch(train) [71][2160/3757] lr: 1.0000e-03 eta: 7:18:48 time: 0.2301 data_time: 0.0191 memory: 6108 grad_norm: 8.2853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0900 loss: 1.0900 2022/07/23 08:59:30 - mmengine - INFO - Epoch(train) [71][2180/3757] lr: 1.0000e-03 eta: 7:18:43 time: 0.2287 data_time: 0.0178 memory: 6108 grad_norm: 8.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/07/23 08:59:35 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 1.0000e-03 eta: 7:18:38 time: 0.2387 data_time: 0.0254 memory: 6108 grad_norm: 8.2453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/07/23 08:59:39 - mmengine - INFO - Epoch(train) [71][2220/3757] lr: 1.0000e-03 eta: 7:18:34 time: 0.2364 data_time: 0.0173 memory: 6108 grad_norm: 8.3918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5708 loss: 1.5708 2022/07/23 08:59:44 - mmengine - INFO - Epoch(train) [71][2240/3757] lr: 1.0000e-03 eta: 7:18:29 time: 0.2304 data_time: 0.0182 memory: 6108 grad_norm: 8.1868 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2529 loss: 1.2529 2022/07/23 08:59:49 - mmengine - INFO - Epoch(train) [71][2260/3757] lr: 1.0000e-03 eta: 7:18:24 time: 0.2281 data_time: 0.0205 memory: 6108 grad_norm: 8.5070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3964 loss: 1.3964 2022/07/23 08:59:53 - mmengine - INFO - Epoch(train) [71][2280/3757] lr: 1.0000e-03 eta: 7:18:19 time: 0.2324 data_time: 0.0214 memory: 6108 grad_norm: 8.0316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4474 loss: 1.4474 2022/07/23 08:59:58 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 1.0000e-03 eta: 7:18:14 time: 0.2578 data_time: 0.0309 memory: 6108 grad_norm: 8.1618 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3984 loss: 1.3984 2022/07/23 09:00:03 - mmengine - INFO - Epoch(train) [71][2320/3757] lr: 1.0000e-03 eta: 7:18:10 time: 0.2270 data_time: 0.0197 memory: 6108 grad_norm: 8.0777 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/07/23 09:00:08 - mmengine - INFO - Epoch(train) [71][2340/3757] lr: 1.0000e-03 eta: 7:18:05 time: 0.2418 data_time: 0.0232 memory: 6108 grad_norm: 8.2339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/07/23 09:00:12 - mmengine - INFO - Epoch(train) [71][2360/3757] lr: 1.0000e-03 eta: 7:18:00 time: 0.2290 data_time: 0.0199 memory: 6108 grad_norm: 8.4357 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2613 loss: 1.2613 2022/07/23 09:00:17 - mmengine - INFO - Epoch(train) [71][2380/3757] lr: 1.0000e-03 eta: 7:17:55 time: 0.2297 data_time: 0.0210 memory: 6108 grad_norm: 8.3044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0890 loss: 1.0890 2022/07/23 09:00:22 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 1.0000e-03 eta: 7:17:50 time: 0.2345 data_time: 0.0335 memory: 6108 grad_norm: 8.2442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3162 loss: 1.3162 2022/07/23 09:00:26 - mmengine - INFO - Epoch(train) [71][2420/3757] lr: 1.0000e-03 eta: 7:17:46 time: 0.2247 data_time: 0.0190 memory: 6108 grad_norm: 8.1204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1816 loss: 1.1816 2022/07/23 09:00:31 - mmengine - INFO - Epoch(train) [71][2440/3757] lr: 1.0000e-03 eta: 7:17:41 time: 0.2346 data_time: 0.0230 memory: 6108 grad_norm: 8.1545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/07/23 09:00:36 - mmengine - INFO - Epoch(train) [71][2460/3757] lr: 1.0000e-03 eta: 7:17:36 time: 0.2433 data_time: 0.0208 memory: 6108 grad_norm: 8.3406 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/07/23 09:00:41 - mmengine - INFO - Epoch(train) [71][2480/3757] lr: 1.0000e-03 eta: 7:17:31 time: 0.2303 data_time: 0.0255 memory: 6108 grad_norm: 8.3508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/07/23 09:00:45 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 1.0000e-03 eta: 7:17:26 time: 0.2265 data_time: 0.0205 memory: 6108 grad_norm: 8.4172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5282 loss: 1.5282 2022/07/23 09:00:50 - mmengine - INFO - Epoch(train) [71][2520/3757] lr: 1.0000e-03 eta: 7:17:22 time: 0.2520 data_time: 0.0215 memory: 6108 grad_norm: 8.0178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3824 loss: 1.3824 2022/07/23 09:00:55 - mmengine - INFO - Epoch(train) [71][2540/3757] lr: 1.0000e-03 eta: 7:17:17 time: 0.2297 data_time: 0.0195 memory: 6108 grad_norm: 8.1716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1216 loss: 1.1216 2022/07/23 09:00:59 - mmengine - INFO - Epoch(train) [71][2560/3757] lr: 1.0000e-03 eta: 7:17:12 time: 0.2318 data_time: 0.0260 memory: 6108 grad_norm: 8.3391 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5606 loss: 1.5606 2022/07/23 09:01:04 - mmengine - INFO - Epoch(train) [71][2580/3757] lr: 1.0000e-03 eta: 7:17:07 time: 0.2243 data_time: 0.0194 memory: 6108 grad_norm: 8.7009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2661 loss: 1.2661 2022/07/23 09:01:09 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 1.0000e-03 eta: 7:17:02 time: 0.2398 data_time: 0.0190 memory: 6108 grad_norm: 8.0274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3407 loss: 1.3407 2022/07/23 09:01:14 - mmengine - INFO - Epoch(train) [71][2620/3757] lr: 1.0000e-03 eta: 7:16:58 time: 0.2412 data_time: 0.0233 memory: 6108 grad_norm: 8.0249 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4078 loss: 1.4078 2022/07/23 09:01:18 - mmengine - INFO - Epoch(train) [71][2640/3757] lr: 1.0000e-03 eta: 7:16:53 time: 0.2298 data_time: 0.0179 memory: 6108 grad_norm: 7.9990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3374 loss: 1.3374 2022/07/23 09:01:23 - mmengine - INFO - Epoch(train) [71][2660/3757] lr: 1.0000e-03 eta: 7:16:48 time: 0.2270 data_time: 0.0206 memory: 6108 grad_norm: 8.3757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/07/23 09:01:28 - mmengine - INFO - Epoch(train) [71][2680/3757] lr: 1.0000e-03 eta: 7:16:43 time: 0.2387 data_time: 0.0210 memory: 6108 grad_norm: 8.2200 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1209 loss: 1.1209 2022/07/23 09:01:32 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 1.0000e-03 eta: 7:16:38 time: 0.2276 data_time: 0.0179 memory: 6108 grad_norm: 8.1355 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/07/23 09:01:38 - mmengine - INFO - Epoch(train) [71][2720/3757] lr: 1.0000e-03 eta: 7:16:34 time: 0.2816 data_time: 0.0170 memory: 6108 grad_norm: 8.3436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3728 loss: 1.3728 2022/07/23 09:01:43 - mmengine - INFO - Epoch(train) [71][2740/3757] lr: 1.0000e-03 eta: 7:16:29 time: 0.2484 data_time: 0.0200 memory: 6108 grad_norm: 8.0169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/07/23 09:01:48 - mmengine - INFO - Epoch(train) [71][2760/3757] lr: 1.0000e-03 eta: 7:16:25 time: 0.2507 data_time: 0.0210 memory: 6108 grad_norm: 8.1357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2013 loss: 1.2013 2022/07/23 09:01:53 - mmengine - INFO - Epoch(train) [71][2780/3757] lr: 1.0000e-03 eta: 7:16:20 time: 0.2314 data_time: 0.0269 memory: 6108 grad_norm: 8.1753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5010 loss: 1.5010 2022/07/23 09:01:57 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 1.0000e-03 eta: 7:16:15 time: 0.2257 data_time: 0.0222 memory: 6108 grad_norm: 7.9603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1677 loss: 1.1677 2022/07/23 09:02:02 - mmengine - INFO - Epoch(train) [71][2820/3757] lr: 1.0000e-03 eta: 7:16:10 time: 0.2354 data_time: 0.0253 memory: 6108 grad_norm: 7.8448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/07/23 09:02:06 - mmengine - INFO - Epoch(train) [71][2840/3757] lr: 1.0000e-03 eta: 7:16:05 time: 0.2303 data_time: 0.0239 memory: 6108 grad_norm: 8.1081 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1491 loss: 1.1491 2022/07/23 09:02:11 - mmengine - INFO - Epoch(train) [71][2860/3757] lr: 1.0000e-03 eta: 7:16:01 time: 0.2282 data_time: 0.0197 memory: 6108 grad_norm: 7.9372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3521 loss: 1.3521 2022/07/23 09:02:16 - mmengine - INFO - Epoch(train) [71][2880/3757] lr: 1.0000e-03 eta: 7:15:56 time: 0.2328 data_time: 0.0247 memory: 6108 grad_norm: 8.1362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/07/23 09:02:21 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 1.0000e-03 eta: 7:15:51 time: 0.2397 data_time: 0.0295 memory: 6108 grad_norm: 8.2951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/07/23 09:02:25 - mmengine - INFO - Epoch(train) [71][2920/3757] lr: 1.0000e-03 eta: 7:15:46 time: 0.2338 data_time: 0.0194 memory: 6108 grad_norm: 8.2474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3995 loss: 1.3995 2022/07/23 09:02:30 - mmengine - INFO - Epoch(train) [71][2940/3757] lr: 1.0000e-03 eta: 7:15:41 time: 0.2293 data_time: 0.0195 memory: 6108 grad_norm: 8.4853 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/07/23 09:02:34 - mmengine - INFO - Epoch(train) [71][2960/3757] lr: 1.0000e-03 eta: 7:15:36 time: 0.2253 data_time: 0.0204 memory: 6108 grad_norm: 8.3182 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/07/23 09:02:39 - mmengine - INFO - Epoch(train) [71][2980/3757] lr: 1.0000e-03 eta: 7:15:32 time: 0.2512 data_time: 0.0214 memory: 6108 grad_norm: 8.7432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4689 loss: 1.4689 2022/07/23 09:02:44 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 1.0000e-03 eta: 7:15:27 time: 0.2343 data_time: 0.0205 memory: 6108 grad_norm: 8.0560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4013 loss: 1.4013 2022/07/23 09:02:46 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:02:49 - mmengine - INFO - Epoch(train) [71][3020/3757] lr: 1.0000e-03 eta: 7:15:22 time: 0.2319 data_time: 0.0311 memory: 6108 grad_norm: 8.3634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1397 loss: 1.1397 2022/07/23 09:02:53 - mmengine - INFO - Epoch(train) [71][3040/3757] lr: 1.0000e-03 eta: 7:15:17 time: 0.2284 data_time: 0.0214 memory: 6108 grad_norm: 8.2822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/07/23 09:02:58 - mmengine - INFO - Epoch(train) [71][3060/3757] lr: 1.0000e-03 eta: 7:15:13 time: 0.2505 data_time: 0.0257 memory: 6108 grad_norm: 8.0840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/07/23 09:03:03 - mmengine - INFO - Epoch(train) [71][3080/3757] lr: 1.0000e-03 eta: 7:15:08 time: 0.2261 data_time: 0.0225 memory: 6108 grad_norm: 8.3380 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/07/23 09:03:08 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 1.0000e-03 eta: 7:15:03 time: 0.2329 data_time: 0.0303 memory: 6108 grad_norm: 8.3562 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3954 loss: 1.3954 2022/07/23 09:03:12 - mmengine - INFO - Epoch(train) [71][3120/3757] lr: 1.0000e-03 eta: 7:14:58 time: 0.2289 data_time: 0.0193 memory: 6108 grad_norm: 8.6243 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7302 loss: 1.7302 2022/07/23 09:03:17 - mmengine - INFO - Epoch(train) [71][3140/3757] lr: 1.0000e-03 eta: 7:14:53 time: 0.2304 data_time: 0.0246 memory: 6108 grad_norm: 7.9801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6813 loss: 1.6813 2022/07/23 09:03:22 - mmengine - INFO - Epoch(train) [71][3160/3757] lr: 1.0000e-03 eta: 7:14:49 time: 0.2482 data_time: 0.0190 memory: 6108 grad_norm: 8.3338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3066 loss: 1.3066 2022/07/23 09:03:27 - mmengine - INFO - Epoch(train) [71][3180/3757] lr: 1.0000e-03 eta: 7:14:44 time: 0.2499 data_time: 0.0210 memory: 6108 grad_norm: 8.3816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4724 loss: 1.4724 2022/07/23 09:03:32 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 1.0000e-03 eta: 7:14:39 time: 0.2464 data_time: 0.0193 memory: 6108 grad_norm: 8.2237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5252 loss: 1.5252 2022/07/23 09:03:36 - mmengine - INFO - Epoch(train) [71][3220/3757] lr: 1.0000e-03 eta: 7:14:34 time: 0.2301 data_time: 0.0225 memory: 6108 grad_norm: 8.2608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3461 loss: 1.3461 2022/07/23 09:03:41 - mmengine - INFO - Epoch(train) [71][3240/3757] lr: 1.0000e-03 eta: 7:14:30 time: 0.2393 data_time: 0.0209 memory: 6108 grad_norm: 8.1391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1540 loss: 1.1540 2022/07/23 09:03:46 - mmengine - INFO - Epoch(train) [71][3260/3757] lr: 1.0000e-03 eta: 7:14:25 time: 0.2299 data_time: 0.0221 memory: 6108 grad_norm: 8.1803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/07/23 09:03:51 - mmengine - INFO - Epoch(train) [71][3280/3757] lr: 1.0000e-03 eta: 7:14:20 time: 0.2286 data_time: 0.0276 memory: 6108 grad_norm: 8.7055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/07/23 09:03:55 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 1.0000e-03 eta: 7:14:15 time: 0.2348 data_time: 0.0187 memory: 6108 grad_norm: 8.2580 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2942 loss: 1.2942 2022/07/23 09:04:00 - mmengine - INFO - Epoch(train) [71][3320/3757] lr: 1.0000e-03 eta: 7:14:10 time: 0.2387 data_time: 0.0296 memory: 6108 grad_norm: 8.2931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/07/23 09:04:05 - mmengine - INFO - Epoch(train) [71][3340/3757] lr: 1.0000e-03 eta: 7:14:06 time: 0.2270 data_time: 0.0205 memory: 6108 grad_norm: 8.0045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2867 loss: 1.2867 2022/07/23 09:04:09 - mmengine - INFO - Epoch(train) [71][3360/3757] lr: 1.0000e-03 eta: 7:14:01 time: 0.2294 data_time: 0.0224 memory: 6108 grad_norm: 7.9817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/07/23 09:04:14 - mmengine - INFO - Epoch(train) [71][3380/3757] lr: 1.0000e-03 eta: 7:13:56 time: 0.2295 data_time: 0.0234 memory: 6108 grad_norm: 8.3404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/07/23 09:04:19 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 1.0000e-03 eta: 7:13:51 time: 0.2478 data_time: 0.0225 memory: 6108 grad_norm: 8.1030 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3575 loss: 1.3575 2022/07/23 09:04:24 - mmengine - INFO - Epoch(train) [71][3420/3757] lr: 1.0000e-03 eta: 7:13:47 time: 0.2387 data_time: 0.0174 memory: 6108 grad_norm: 8.0124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/07/23 09:04:28 - mmengine - INFO - Epoch(train) [71][3440/3757] lr: 1.0000e-03 eta: 7:13:42 time: 0.2320 data_time: 0.0223 memory: 6108 grad_norm: 8.0216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2384 loss: 1.2384 2022/07/23 09:04:33 - mmengine - INFO - Epoch(train) [71][3460/3757] lr: 1.0000e-03 eta: 7:13:37 time: 0.2340 data_time: 0.0354 memory: 6108 grad_norm: 8.2546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/07/23 09:04:38 - mmengine - INFO - Epoch(train) [71][3480/3757] lr: 1.0000e-03 eta: 7:13:32 time: 0.2519 data_time: 0.0205 memory: 6108 grad_norm: 7.8320 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0944 loss: 1.0944 2022/07/23 09:04:43 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 1.0000e-03 eta: 7:13:27 time: 0.2301 data_time: 0.0269 memory: 6108 grad_norm: 8.2709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/07/23 09:04:47 - mmengine - INFO - Epoch(train) [71][3520/3757] lr: 1.0000e-03 eta: 7:13:23 time: 0.2306 data_time: 0.0163 memory: 6108 grad_norm: 8.2919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/07/23 09:04:52 - mmengine - INFO - Epoch(train) [71][3540/3757] lr: 1.0000e-03 eta: 7:13:18 time: 0.2280 data_time: 0.0237 memory: 6108 grad_norm: 8.2075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2278 loss: 1.2278 2022/07/23 09:04:57 - mmengine - INFO - Epoch(train) [71][3560/3757] lr: 1.0000e-03 eta: 7:13:13 time: 0.2330 data_time: 0.0255 memory: 6108 grad_norm: 8.3225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3340 loss: 1.3340 2022/07/23 09:05:01 - mmengine - INFO - Epoch(train) [71][3580/3757] lr: 1.0000e-03 eta: 7:13:08 time: 0.2372 data_time: 0.0180 memory: 6108 grad_norm: 8.0022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/07/23 09:05:06 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 1.0000e-03 eta: 7:13:04 time: 0.2479 data_time: 0.0272 memory: 6108 grad_norm: 8.2493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2287 loss: 1.2287 2022/07/23 09:05:11 - mmengine - INFO - Epoch(train) [71][3620/3757] lr: 1.0000e-03 eta: 7:12:59 time: 0.2313 data_time: 0.0284 memory: 6108 grad_norm: 7.9991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2160 loss: 1.2160 2022/07/23 09:05:16 - mmengine - INFO - Epoch(train) [71][3640/3757] lr: 1.0000e-03 eta: 7:12:54 time: 0.2269 data_time: 0.0205 memory: 6108 grad_norm: 8.3358 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/07/23 09:05:20 - mmengine - INFO - Epoch(train) [71][3660/3757] lr: 1.0000e-03 eta: 7:12:49 time: 0.2390 data_time: 0.0212 memory: 6108 grad_norm: 8.2159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3118 loss: 1.3118 2022/07/23 09:05:25 - mmengine - INFO - Epoch(train) [71][3680/3757] lr: 1.0000e-03 eta: 7:12:44 time: 0.2295 data_time: 0.0228 memory: 6108 grad_norm: 8.1352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2693 loss: 1.2693 2022/07/23 09:05:30 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 1.0000e-03 eta: 7:12:39 time: 0.2306 data_time: 0.0249 memory: 6108 grad_norm: 8.3671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/07/23 09:05:34 - mmengine - INFO - Epoch(train) [71][3720/3757] lr: 1.0000e-03 eta: 7:12:35 time: 0.2279 data_time: 0.0217 memory: 6108 grad_norm: 8.1857 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/07/23 09:05:39 - mmengine - INFO - Epoch(train) [71][3740/3757] lr: 1.0000e-03 eta: 7:12:30 time: 0.2365 data_time: 0.0292 memory: 6108 grad_norm: 8.6137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5208 loss: 1.5208 2022/07/23 09:05:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:05:42 - mmengine - INFO - Epoch(train) [71][3757/3757] lr: 1.0000e-03 eta: 7:12:30 time: 0.1979 data_time: 0.0163 memory: 6108 grad_norm: 8.2112 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.4276 loss: 1.4276 2022/07/23 09:05:48 - mmengine - INFO - Epoch(val) [71][20/310] eta: 0:01:20 time: 0.2778 data_time: 0.1954 memory: 1428 2022/07/23 09:05:51 - mmengine - INFO - Epoch(val) [71][40/310] eta: 0:00:49 time: 0.1826 data_time: 0.1041 memory: 1428 2022/07/23 09:05:56 - mmengine - INFO - Epoch(val) [71][60/310] eta: 0:00:59 time: 0.2384 data_time: 0.1615 memory: 1428 2022/07/23 09:06:00 - mmengine - INFO - Epoch(val) [71][80/310] eta: 0:00:41 time: 0.1798 data_time: 0.1024 memory: 1428 2022/07/23 09:06:05 - mmengine - INFO - Epoch(val) [71][100/310] eta: 0:00:53 time: 0.2550 data_time: 0.1750 memory: 1428 2022/07/23 09:06:09 - mmengine - INFO - Epoch(val) [71][120/310] eta: 0:00:34 time: 0.1814 data_time: 0.1035 memory: 1428 2022/07/23 09:06:13 - mmengine - INFO - Epoch(val) [71][140/310] eta: 0:00:37 time: 0.2234 data_time: 0.1481 memory: 1428 2022/07/23 09:06:17 - mmengine - INFO - Epoch(val) [71][160/310] eta: 0:00:28 time: 0.1867 data_time: 0.1128 memory: 1428 2022/07/23 09:06:22 - mmengine - INFO - Epoch(val) [71][180/310] eta: 0:00:33 time: 0.2541 data_time: 0.1794 memory: 1428 2022/07/23 09:06:25 - mmengine - INFO - Epoch(val) [71][200/310] eta: 0:00:19 time: 0.1735 data_time: 0.0968 memory: 1428 2022/07/23 09:06:30 - mmengine - INFO - Epoch(val) [71][220/310] eta: 0:00:20 time: 0.2247 data_time: 0.1410 memory: 1428 2022/07/23 09:06:34 - mmengine - INFO - Epoch(val) [71][240/310] eta: 0:00:13 time: 0.1994 data_time: 0.1205 memory: 1428 2022/07/23 09:06:39 - mmengine - INFO - Epoch(val) [71][260/310] eta: 0:00:11 time: 0.2385 data_time: 0.1627 memory: 1428 2022/07/23 09:06:43 - mmengine - INFO - Epoch(val) [71][280/310] eta: 0:00:05 time: 0.1987 data_time: 0.1241 memory: 1428 2022/07/23 09:06:47 - mmengine - INFO - Epoch(val) [71][300/310] eta: 0:00:01 time: 0.1972 data_time: 0.1216 memory: 1428 2022/07/23 09:06:51 - mmengine - INFO - Epoch(val) [71][310/310] acc/top1: 0.6514 acc/top5: 0.8585 acc/mean1: 0.6513 2022/07/23 09:06:57 - mmengine - INFO - Epoch(train) [72][20/3757] lr: 1.0000e-03 eta: 7:12:20 time: 0.3295 data_time: 0.0767 memory: 6108 grad_norm: 7.9808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3975 loss: 1.3975 2022/07/23 09:07:02 - mmengine - INFO - Epoch(train) [72][40/3757] lr: 1.0000e-03 eta: 7:12:15 time: 0.2307 data_time: 0.0180 memory: 6108 grad_norm: 8.0805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3506 loss: 1.3506 2022/07/23 09:07:07 - mmengine - INFO - Epoch(train) [72][60/3757] lr: 1.0000e-03 eta: 7:12:11 time: 0.2420 data_time: 0.0294 memory: 6108 grad_norm: 8.1492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3166 loss: 1.3166 2022/07/23 09:07:12 - mmengine - INFO - Epoch(train) [72][80/3757] lr: 1.0000e-03 eta: 7:12:06 time: 0.2351 data_time: 0.0195 memory: 6108 grad_norm: 7.9519 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1522 loss: 1.1522 2022/07/23 09:07:16 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 1.0000e-03 eta: 7:12:01 time: 0.2295 data_time: 0.0217 memory: 6108 grad_norm: 8.4362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1758 loss: 1.1758 2022/07/23 09:07:21 - mmengine - INFO - Epoch(train) [72][120/3757] lr: 1.0000e-03 eta: 7:11:56 time: 0.2353 data_time: 0.0232 memory: 6108 grad_norm: 8.2710 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/07/23 09:07:26 - mmengine - INFO - Epoch(train) [72][140/3757] lr: 1.0000e-03 eta: 7:11:51 time: 0.2302 data_time: 0.0213 memory: 6108 grad_norm: 7.8306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/07/23 09:07:30 - mmengine - INFO - Epoch(train) [72][160/3757] lr: 1.0000e-03 eta: 7:11:47 time: 0.2354 data_time: 0.0227 memory: 6108 grad_norm: 8.0808 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/07/23 09:07:35 - mmengine - INFO - Epoch(train) [72][180/3757] lr: 1.0000e-03 eta: 7:11:42 time: 0.2311 data_time: 0.0208 memory: 6108 grad_norm: 8.0414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/07/23 09:07:40 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 1.0000e-03 eta: 7:11:37 time: 0.2344 data_time: 0.0221 memory: 6108 grad_norm: 8.3732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5122 loss: 1.5122 2022/07/23 09:07:45 - mmengine - INFO - Epoch(train) [72][220/3757] lr: 1.0000e-03 eta: 7:11:32 time: 0.2530 data_time: 0.0184 memory: 6108 grad_norm: 8.6146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1925 loss: 1.1925 2022/07/23 09:07:50 - mmengine - INFO - Epoch(train) [72][240/3757] lr: 1.0000e-03 eta: 7:11:27 time: 0.2324 data_time: 0.0203 memory: 6108 grad_norm: 8.2367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1778 loss: 1.1778 2022/07/23 09:07:53 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:07:54 - mmengine - INFO - Epoch(train) [72][260/3757] lr: 1.0000e-03 eta: 7:11:23 time: 0.2390 data_time: 0.0190 memory: 6108 grad_norm: 8.2285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/07/23 09:07:59 - mmengine - INFO - Epoch(train) [72][280/3757] lr: 1.0000e-03 eta: 7:11:18 time: 0.2357 data_time: 0.0176 memory: 6108 grad_norm: 8.1967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/07/23 09:08:04 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 1.0000e-03 eta: 7:11:13 time: 0.2328 data_time: 0.0203 memory: 6108 grad_norm: 8.2607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/07/23 09:08:08 - mmengine - INFO - Epoch(train) [72][320/3757] lr: 1.0000e-03 eta: 7:11:08 time: 0.2335 data_time: 0.0208 memory: 6108 grad_norm: 8.3139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3723 loss: 1.3723 2022/07/23 09:08:13 - mmengine - INFO - Epoch(train) [72][340/3757] lr: 1.0000e-03 eta: 7:11:03 time: 0.2317 data_time: 0.0227 memory: 6108 grad_norm: 8.0668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/07/23 09:08:18 - mmengine - INFO - Epoch(train) [72][360/3757] lr: 1.0000e-03 eta: 7:10:59 time: 0.2329 data_time: 0.0219 memory: 6108 grad_norm: 7.9001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/07/23 09:08:22 - mmengine - INFO - Epoch(train) [72][380/3757] lr: 1.0000e-03 eta: 7:10:54 time: 0.2325 data_time: 0.0188 memory: 6108 grad_norm: 8.1479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2036 loss: 1.2036 2022/07/23 09:08:27 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 1.0000e-03 eta: 7:10:49 time: 0.2284 data_time: 0.0254 memory: 6108 grad_norm: 8.0113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/07/23 09:08:32 - mmengine - INFO - Epoch(train) [72][420/3757] lr: 1.0000e-03 eta: 7:10:44 time: 0.2443 data_time: 0.0230 memory: 6108 grad_norm: 7.9986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/07/23 09:08:37 - mmengine - INFO - Epoch(train) [72][440/3757] lr: 1.0000e-03 eta: 7:10:39 time: 0.2279 data_time: 0.0276 memory: 6108 grad_norm: 8.0513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2447 loss: 1.2447 2022/07/23 09:08:41 - mmengine - INFO - Epoch(train) [72][460/3757] lr: 1.0000e-03 eta: 7:10:35 time: 0.2313 data_time: 0.0223 memory: 6108 grad_norm: 7.9181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1909 loss: 1.1909 2022/07/23 09:08:46 - mmengine - INFO - Epoch(train) [72][480/3757] lr: 1.0000e-03 eta: 7:10:30 time: 0.2337 data_time: 0.0238 memory: 6108 grad_norm: 8.3097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2558 loss: 1.2558 2022/07/23 09:08:51 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 1.0000e-03 eta: 7:10:25 time: 0.2465 data_time: 0.0247 memory: 6108 grad_norm: 7.9405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4489 loss: 1.4489 2022/07/23 09:08:55 - mmengine - INFO - Epoch(train) [72][520/3757] lr: 1.0000e-03 eta: 7:10:20 time: 0.2302 data_time: 0.0174 memory: 6108 grad_norm: 8.2825 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3329 loss: 1.3329 2022/07/23 09:09:00 - mmengine - INFO - Epoch(train) [72][540/3757] lr: 1.0000e-03 eta: 7:10:15 time: 0.2290 data_time: 0.0218 memory: 6108 grad_norm: 8.1328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/07/23 09:09:05 - mmengine - INFO - Epoch(train) [72][560/3757] lr: 1.0000e-03 eta: 7:10:11 time: 0.2341 data_time: 0.0206 memory: 6108 grad_norm: 8.1129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4978 loss: 1.4978 2022/07/23 09:09:09 - mmengine - INFO - Epoch(train) [72][580/3757] lr: 1.0000e-03 eta: 7:10:06 time: 0.2287 data_time: 0.0189 memory: 6108 grad_norm: 8.1079 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2758 loss: 1.2758 2022/07/23 09:09:14 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 1.0000e-03 eta: 7:10:01 time: 0.2317 data_time: 0.0270 memory: 6108 grad_norm: 8.7590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4441 loss: 1.4441 2022/07/23 09:09:19 - mmengine - INFO - Epoch(train) [72][620/3757] lr: 1.0000e-03 eta: 7:09:56 time: 0.2364 data_time: 0.0207 memory: 6108 grad_norm: 8.3126 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3777 loss: 1.3777 2022/07/23 09:09:23 - mmengine - INFO - Epoch(train) [72][640/3757] lr: 1.0000e-03 eta: 7:09:51 time: 0.2290 data_time: 0.0214 memory: 6108 grad_norm: 7.9748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0508 loss: 1.0508 2022/07/23 09:09:28 - mmengine - INFO - Epoch(train) [72][660/3757] lr: 1.0000e-03 eta: 7:09:47 time: 0.2460 data_time: 0.0221 memory: 6108 grad_norm: 8.2792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3135 loss: 1.3135 2022/07/23 09:09:33 - mmengine - INFO - Epoch(train) [72][680/3757] lr: 1.0000e-03 eta: 7:09:42 time: 0.2230 data_time: 0.0178 memory: 6108 grad_norm: 7.9548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1999 loss: 1.1999 2022/07/23 09:09:38 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 1.0000e-03 eta: 7:09:37 time: 0.2328 data_time: 0.0213 memory: 6108 grad_norm: 8.1516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/07/23 09:09:42 - mmengine - INFO - Epoch(train) [72][720/3757] lr: 1.0000e-03 eta: 7:09:32 time: 0.2370 data_time: 0.0269 memory: 6108 grad_norm: 8.2640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/07/23 09:09:47 - mmengine - INFO - Epoch(train) [72][740/3757] lr: 1.0000e-03 eta: 7:09:27 time: 0.2267 data_time: 0.0265 memory: 6108 grad_norm: 8.2073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2874 loss: 1.2874 2022/07/23 09:09:52 - mmengine - INFO - Epoch(train) [72][760/3757] lr: 1.0000e-03 eta: 7:09:23 time: 0.2433 data_time: 0.0336 memory: 6108 grad_norm: 8.1656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0904 loss: 1.0904 2022/07/23 09:09:56 - mmengine - INFO - Epoch(train) [72][780/3757] lr: 1.0000e-03 eta: 7:09:18 time: 0.2290 data_time: 0.0249 memory: 6108 grad_norm: 8.4205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2142 loss: 1.2142 2022/07/23 09:10:01 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 1.0000e-03 eta: 7:09:13 time: 0.2362 data_time: 0.0190 memory: 6108 grad_norm: 8.5196 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4725 loss: 1.4725 2022/07/23 09:10:06 - mmengine - INFO - Epoch(train) [72][820/3757] lr: 1.0000e-03 eta: 7:09:08 time: 0.2285 data_time: 0.0232 memory: 6108 grad_norm: 8.4331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5079 loss: 1.5079 2022/07/23 09:10:10 - mmengine - INFO - Epoch(train) [72][840/3757] lr: 1.0000e-03 eta: 7:09:03 time: 0.2335 data_time: 0.0214 memory: 6108 grad_norm: 8.1253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/07/23 09:10:15 - mmengine - INFO - Epoch(train) [72][860/3757] lr: 1.0000e-03 eta: 7:08:59 time: 0.2245 data_time: 0.0222 memory: 6108 grad_norm: 8.2798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3082 loss: 1.3082 2022/07/23 09:10:20 - mmengine - INFO - Epoch(train) [72][880/3757] lr: 1.0000e-03 eta: 7:08:54 time: 0.2352 data_time: 0.0210 memory: 6108 grad_norm: 8.2274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/07/23 09:10:24 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 1.0000e-03 eta: 7:08:49 time: 0.2257 data_time: 0.0228 memory: 6108 grad_norm: 8.2260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0902 loss: 1.0902 2022/07/23 09:10:29 - mmengine - INFO - Epoch(train) [72][920/3757] lr: 1.0000e-03 eta: 7:08:44 time: 0.2300 data_time: 0.0220 memory: 6108 grad_norm: 8.0283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0678 loss: 1.0678 2022/07/23 09:10:34 - mmengine - INFO - Epoch(train) [72][940/3757] lr: 1.0000e-03 eta: 7:08:39 time: 0.2333 data_time: 0.0236 memory: 6108 grad_norm: 8.3664 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/07/23 09:10:38 - mmengine - INFO - Epoch(train) [72][960/3757] lr: 1.0000e-03 eta: 7:08:35 time: 0.2451 data_time: 0.0264 memory: 6108 grad_norm: 8.4967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/07/23 09:10:43 - mmengine - INFO - Epoch(train) [72][980/3757] lr: 1.0000e-03 eta: 7:08:30 time: 0.2249 data_time: 0.0212 memory: 6108 grad_norm: 8.2688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3715 loss: 1.3715 2022/07/23 09:10:48 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 1.0000e-03 eta: 7:08:25 time: 0.2399 data_time: 0.0181 memory: 6108 grad_norm: 8.3732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/07/23 09:10:52 - mmengine - INFO - Epoch(train) [72][1020/3757] lr: 1.0000e-03 eta: 7:08:20 time: 0.2274 data_time: 0.0243 memory: 6108 grad_norm: 8.6929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2454 loss: 1.2454 2022/07/23 09:10:57 - mmengine - INFO - Epoch(train) [72][1040/3757] lr: 1.0000e-03 eta: 7:08:15 time: 0.2413 data_time: 0.0182 memory: 6108 grad_norm: 8.2356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6424 loss: 1.6424 2022/07/23 09:11:02 - mmengine - INFO - Epoch(train) [72][1060/3757] lr: 1.0000e-03 eta: 7:08:11 time: 0.2424 data_time: 0.0229 memory: 6108 grad_norm: 8.6763 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2829 loss: 1.2829 2022/07/23 09:11:07 - mmengine - INFO - Epoch(train) [72][1080/3757] lr: 1.0000e-03 eta: 7:08:06 time: 0.2378 data_time: 0.0263 memory: 6108 grad_norm: 7.9758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2557 loss: 1.2557 2022/07/23 09:11:11 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 1.0000e-03 eta: 7:08:01 time: 0.2227 data_time: 0.0193 memory: 6108 grad_norm: 8.4371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5144 loss: 1.5144 2022/07/23 09:11:17 - mmengine - INFO - Epoch(train) [72][1120/3757] lr: 1.0000e-03 eta: 7:07:56 time: 0.2596 data_time: 0.0184 memory: 6108 grad_norm: 8.3060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/07/23 09:11:21 - mmengine - INFO - Epoch(train) [72][1140/3757] lr: 1.0000e-03 eta: 7:07:52 time: 0.2409 data_time: 0.0248 memory: 6108 grad_norm: 8.2852 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3058 loss: 1.3058 2022/07/23 09:11:26 - mmengine - INFO - Epoch(train) [72][1160/3757] lr: 1.0000e-03 eta: 7:07:47 time: 0.2333 data_time: 0.0224 memory: 6108 grad_norm: 8.3480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3396 loss: 1.3396 2022/07/23 09:11:31 - mmengine - INFO - Epoch(train) [72][1180/3757] lr: 1.0000e-03 eta: 7:07:42 time: 0.2254 data_time: 0.0205 memory: 6108 grad_norm: 8.2049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3646 loss: 1.3646 2022/07/23 09:11:36 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 1.0000e-03 eta: 7:07:37 time: 0.2680 data_time: 0.0210 memory: 6108 grad_norm: 7.9112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2523 loss: 1.2523 2022/07/23 09:11:41 - mmengine - INFO - Epoch(train) [72][1220/3757] lr: 1.0000e-03 eta: 7:07:33 time: 0.2431 data_time: 0.0202 memory: 6108 grad_norm: 8.3036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2626 loss: 1.2626 2022/07/23 09:11:46 - mmengine - INFO - Epoch(train) [72][1240/3757] lr: 1.0000e-03 eta: 7:07:28 time: 0.2332 data_time: 0.0208 memory: 6108 grad_norm: 8.3150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1688 loss: 1.1688 2022/07/23 09:11:49 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:11:50 - mmengine - INFO - Epoch(train) [72][1260/3757] lr: 1.0000e-03 eta: 7:07:23 time: 0.2306 data_time: 0.0229 memory: 6108 grad_norm: 8.1226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5488 loss: 1.5488 2022/07/23 09:11:55 - mmengine - INFO - Epoch(train) [72][1280/3757] lr: 1.0000e-03 eta: 7:07:18 time: 0.2309 data_time: 0.0218 memory: 6108 grad_norm: 8.4602 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3294 loss: 1.3294 2022/07/23 09:12:00 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 1.0000e-03 eta: 7:07:14 time: 0.2369 data_time: 0.0303 memory: 6108 grad_norm: 8.0700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/07/23 09:12:04 - mmengine - INFO - Epoch(train) [72][1320/3757] lr: 1.0000e-03 eta: 7:07:09 time: 0.2265 data_time: 0.0216 memory: 6108 grad_norm: 8.4473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4732 loss: 1.4732 2022/07/23 09:12:09 - mmengine - INFO - Epoch(train) [72][1340/3757] lr: 1.0000e-03 eta: 7:07:04 time: 0.2290 data_time: 0.0206 memory: 6108 grad_norm: 8.4172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4488 loss: 1.4488 2022/07/23 09:12:13 - mmengine - INFO - Epoch(train) [72][1360/3757] lr: 1.0000e-03 eta: 7:06:59 time: 0.2288 data_time: 0.0209 memory: 6108 grad_norm: 8.2246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4100 loss: 1.4100 2022/07/23 09:12:18 - mmengine - INFO - Epoch(train) [72][1380/3757] lr: 1.0000e-03 eta: 7:06:54 time: 0.2389 data_time: 0.0180 memory: 6108 grad_norm: 8.3576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/07/23 09:12:23 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 1.0000e-03 eta: 7:06:50 time: 0.2435 data_time: 0.0206 memory: 6108 grad_norm: 8.3550 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3809 loss: 1.3809 2022/07/23 09:12:28 - mmengine - INFO - Epoch(train) [72][1420/3757] lr: 1.0000e-03 eta: 7:06:45 time: 0.2417 data_time: 0.0379 memory: 6108 grad_norm: 7.9286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/07/23 09:12:33 - mmengine - INFO - Epoch(train) [72][1440/3757] lr: 1.0000e-03 eta: 7:06:40 time: 0.2427 data_time: 0.0200 memory: 6108 grad_norm: 8.4491 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3651 loss: 1.3651 2022/07/23 09:12:37 - mmengine - INFO - Epoch(train) [72][1460/3757] lr: 1.0000e-03 eta: 7:06:35 time: 0.2254 data_time: 0.0207 memory: 6108 grad_norm: 8.2424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/07/23 09:12:42 - mmengine - INFO - Epoch(train) [72][1480/3757] lr: 1.0000e-03 eta: 7:06:30 time: 0.2364 data_time: 0.0206 memory: 6108 grad_norm: 8.2152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3505 loss: 1.3505 2022/07/23 09:12:47 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 1.0000e-03 eta: 7:06:26 time: 0.2258 data_time: 0.0220 memory: 6108 grad_norm: 8.2693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1111 loss: 1.1111 2022/07/23 09:12:51 - mmengine - INFO - Epoch(train) [72][1520/3757] lr: 1.0000e-03 eta: 7:06:21 time: 0.2339 data_time: 0.0224 memory: 6108 grad_norm: 8.1935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/07/23 09:12:56 - mmengine - INFO - Epoch(train) [72][1540/3757] lr: 1.0000e-03 eta: 7:06:16 time: 0.2334 data_time: 0.0230 memory: 6108 grad_norm: 7.8394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4276 loss: 1.4276 2022/07/23 09:13:01 - mmengine - INFO - Epoch(train) [72][1560/3757] lr: 1.0000e-03 eta: 7:06:11 time: 0.2289 data_time: 0.0181 memory: 6108 grad_norm: 8.2716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/07/23 09:13:05 - mmengine - INFO - Epoch(train) [72][1580/3757] lr: 1.0000e-03 eta: 7:06:06 time: 0.2266 data_time: 0.0202 memory: 6108 grad_norm: 7.9923 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1696 loss: 1.1696 2022/07/23 09:13:10 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 1.0000e-03 eta: 7:06:02 time: 0.2462 data_time: 0.0213 memory: 6108 grad_norm: 8.3218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4616 loss: 1.4616 2022/07/23 09:13:15 - mmengine - INFO - Epoch(train) [72][1620/3757] lr: 1.0000e-03 eta: 7:05:57 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 8.0396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4200 loss: 1.4200 2022/07/23 09:13:19 - mmengine - INFO - Epoch(train) [72][1640/3757] lr: 1.0000e-03 eta: 7:05:52 time: 0.2255 data_time: 0.0189 memory: 6108 grad_norm: 8.1350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/07/23 09:13:24 - mmengine - INFO - Epoch(train) [72][1660/3757] lr: 1.0000e-03 eta: 7:05:47 time: 0.2498 data_time: 0.0197 memory: 6108 grad_norm: 7.9716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1431 loss: 1.1431 2022/07/23 09:13:29 - mmengine - INFO - Epoch(train) [72][1680/3757] lr: 1.0000e-03 eta: 7:05:43 time: 0.2540 data_time: 0.0217 memory: 6108 grad_norm: 7.7689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3269 loss: 1.3269 2022/07/23 09:13:34 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 1.0000e-03 eta: 7:05:38 time: 0.2224 data_time: 0.0195 memory: 6108 grad_norm: 8.0598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3406 loss: 1.3406 2022/07/23 09:13:39 - mmengine - INFO - Epoch(train) [72][1720/3757] lr: 1.0000e-03 eta: 7:05:33 time: 0.2328 data_time: 0.0288 memory: 6108 grad_norm: 8.3519 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3468 loss: 1.3468 2022/07/23 09:13:43 - mmengine - INFO - Epoch(train) [72][1740/3757] lr: 1.0000e-03 eta: 7:05:28 time: 0.2263 data_time: 0.0194 memory: 6108 grad_norm: 8.5089 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4284 loss: 1.4284 2022/07/23 09:13:48 - mmengine - INFO - Epoch(train) [72][1760/3757] lr: 1.0000e-03 eta: 7:05:23 time: 0.2322 data_time: 0.0248 memory: 6108 grad_norm: 8.2880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/07/23 09:13:53 - mmengine - INFO - Epoch(train) [72][1780/3757] lr: 1.0000e-03 eta: 7:05:18 time: 0.2382 data_time: 0.0197 memory: 6108 grad_norm: 8.0272 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2541 loss: 1.2541 2022/07/23 09:13:57 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 1.0000e-03 eta: 7:05:14 time: 0.2271 data_time: 0.0223 memory: 6108 grad_norm: 8.2621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4599 loss: 1.4599 2022/07/23 09:14:02 - mmengine - INFO - Epoch(train) [72][1820/3757] lr: 1.0000e-03 eta: 7:05:09 time: 0.2343 data_time: 0.0275 memory: 6108 grad_norm: 8.1629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4231 loss: 1.4231 2022/07/23 09:14:07 - mmengine - INFO - Epoch(train) [72][1840/3757] lr: 1.0000e-03 eta: 7:05:04 time: 0.2291 data_time: 0.0172 memory: 6108 grad_norm: 8.2369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4402 loss: 1.4402 2022/07/23 09:14:11 - mmengine - INFO - Epoch(train) [72][1860/3757] lr: 1.0000e-03 eta: 7:04:59 time: 0.2451 data_time: 0.0175 memory: 6108 grad_norm: 8.1311 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0437 loss: 1.0437 2022/07/23 09:14:16 - mmengine - INFO - Epoch(train) [72][1880/3757] lr: 1.0000e-03 eta: 7:04:54 time: 0.2302 data_time: 0.0245 memory: 6108 grad_norm: 8.1484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1406 loss: 1.1406 2022/07/23 09:14:21 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 1.0000e-03 eta: 7:04:50 time: 0.2290 data_time: 0.0203 memory: 6108 grad_norm: 8.3347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/07/23 09:14:25 - mmengine - INFO - Epoch(train) [72][1920/3757] lr: 1.0000e-03 eta: 7:04:45 time: 0.2265 data_time: 0.0210 memory: 6108 grad_norm: 8.1954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3615 loss: 1.3615 2022/07/23 09:14:30 - mmengine - INFO - Epoch(train) [72][1940/3757] lr: 1.0000e-03 eta: 7:04:40 time: 0.2427 data_time: 0.0218 memory: 6108 grad_norm: 7.9441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2703 loss: 1.2703 2022/07/23 09:14:35 - mmengine - INFO - Epoch(train) [72][1960/3757] lr: 1.0000e-03 eta: 7:04:35 time: 0.2349 data_time: 0.0195 memory: 6108 grad_norm: 8.5825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5507 loss: 1.5507 2022/07/23 09:14:39 - mmengine - INFO - Epoch(train) [72][1980/3757] lr: 1.0000e-03 eta: 7:04:30 time: 0.2268 data_time: 0.0205 memory: 6108 grad_norm: 8.2849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3402 loss: 1.3402 2022/07/23 09:14:44 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 1.0000e-03 eta: 7:04:26 time: 0.2350 data_time: 0.0226 memory: 6108 grad_norm: 8.1274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0890 loss: 1.0890 2022/07/23 09:14:49 - mmengine - INFO - Epoch(train) [72][2020/3757] lr: 1.0000e-03 eta: 7:04:21 time: 0.2531 data_time: 0.0212 memory: 6108 grad_norm: 8.2391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/07/23 09:14:54 - mmengine - INFO - Epoch(train) [72][2040/3757] lr: 1.0000e-03 eta: 7:04:16 time: 0.2290 data_time: 0.0196 memory: 6108 grad_norm: 8.3318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6437 loss: 1.6437 2022/07/23 09:14:58 - mmengine - INFO - Epoch(train) [72][2060/3757] lr: 1.0000e-03 eta: 7:04:11 time: 0.2307 data_time: 0.0245 memory: 6108 grad_norm: 8.1694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2999 loss: 1.2999 2022/07/23 09:15:04 - mmengine - INFO - Epoch(train) [72][2080/3757] lr: 1.0000e-03 eta: 7:04:07 time: 0.2780 data_time: 0.0141 memory: 6108 grad_norm: 8.1305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0258 loss: 1.0258 2022/07/23 09:15:09 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 1.0000e-03 eta: 7:04:02 time: 0.2364 data_time: 0.0239 memory: 6108 grad_norm: 8.1071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3358 loss: 1.3358 2022/07/23 09:15:13 - mmengine - INFO - Epoch(train) [72][2120/3757] lr: 1.0000e-03 eta: 7:03:57 time: 0.2286 data_time: 0.0213 memory: 6108 grad_norm: 8.0367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/07/23 09:15:18 - mmengine - INFO - Epoch(train) [72][2140/3757] lr: 1.0000e-03 eta: 7:03:52 time: 0.2279 data_time: 0.0204 memory: 6108 grad_norm: 8.2143 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3410 loss: 1.3410 2022/07/23 09:15:23 - mmengine - INFO - Epoch(train) [72][2160/3757] lr: 1.0000e-03 eta: 7:03:48 time: 0.2345 data_time: 0.0254 memory: 6108 grad_norm: 8.4304 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4605 loss: 1.4605 2022/07/23 09:15:27 - mmengine - INFO - Epoch(train) [72][2180/3757] lr: 1.0000e-03 eta: 7:03:43 time: 0.2286 data_time: 0.0243 memory: 6108 grad_norm: 8.1812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0384 loss: 1.0384 2022/07/23 09:15:32 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 1.0000e-03 eta: 7:03:38 time: 0.2303 data_time: 0.0254 memory: 6108 grad_norm: 7.9619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1657 loss: 1.1657 2022/07/23 09:15:37 - mmengine - INFO - Epoch(train) [72][2220/3757] lr: 1.0000e-03 eta: 7:03:33 time: 0.2313 data_time: 0.0261 memory: 6108 grad_norm: 8.4767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2167 loss: 1.2167 2022/07/23 09:15:41 - mmengine - INFO - Epoch(train) [72][2240/3757] lr: 1.0000e-03 eta: 7:03:28 time: 0.2377 data_time: 0.0225 memory: 6108 grad_norm: 8.4576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2498 loss: 1.2498 2022/07/23 09:15:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:15:46 - mmengine - INFO - Epoch(train) [72][2260/3757] lr: 1.0000e-03 eta: 7:03:24 time: 0.2312 data_time: 0.0175 memory: 6108 grad_norm: 8.2059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1854 loss: 1.1854 2022/07/23 09:15:51 - mmengine - INFO - Epoch(train) [72][2280/3757] lr: 1.0000e-03 eta: 7:03:19 time: 0.2307 data_time: 0.0214 memory: 6108 grad_norm: 8.3014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4942 loss: 1.4942 2022/07/23 09:15:55 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 1.0000e-03 eta: 7:03:14 time: 0.2264 data_time: 0.0178 memory: 6108 grad_norm: 8.5385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5045 loss: 1.5045 2022/07/23 09:16:00 - mmengine - INFO - Epoch(train) [72][2320/3757] lr: 1.0000e-03 eta: 7:03:09 time: 0.2511 data_time: 0.0210 memory: 6108 grad_norm: 8.3836 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3329 loss: 1.3329 2022/07/23 09:16:05 - mmengine - INFO - Epoch(train) [72][2340/3757] lr: 1.0000e-03 eta: 7:03:04 time: 0.2296 data_time: 0.0244 memory: 6108 grad_norm: 8.2598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5031 loss: 1.5031 2022/07/23 09:16:09 - mmengine - INFO - Epoch(train) [72][2360/3757] lr: 1.0000e-03 eta: 7:03:00 time: 0.2268 data_time: 0.0212 memory: 6108 grad_norm: 8.3176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3612 loss: 1.3612 2022/07/23 09:16:14 - mmengine - INFO - Epoch(train) [72][2380/3757] lr: 1.0000e-03 eta: 7:02:55 time: 0.2252 data_time: 0.0189 memory: 6108 grad_norm: 8.3319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4157 loss: 1.4157 2022/07/23 09:16:19 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 1.0000e-03 eta: 7:02:50 time: 0.2481 data_time: 0.0250 memory: 6108 grad_norm: 8.1348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/07/23 09:16:23 - mmengine - INFO - Epoch(train) [72][2420/3757] lr: 1.0000e-03 eta: 7:02:45 time: 0.2256 data_time: 0.0233 memory: 6108 grad_norm: 8.2562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3494 loss: 1.3494 2022/07/23 09:16:28 - mmengine - INFO - Epoch(train) [72][2440/3757] lr: 1.0000e-03 eta: 7:02:40 time: 0.2335 data_time: 0.0201 memory: 6108 grad_norm: 8.1881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/07/23 09:16:33 - mmengine - INFO - Epoch(train) [72][2460/3757] lr: 1.0000e-03 eta: 7:02:36 time: 0.2319 data_time: 0.0249 memory: 6108 grad_norm: 8.4425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3868 loss: 1.3868 2022/07/23 09:16:38 - mmengine - INFO - Epoch(train) [72][2480/3757] lr: 1.0000e-03 eta: 7:02:31 time: 0.2340 data_time: 0.0185 memory: 6108 grad_norm: 8.2829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2419 loss: 1.2419 2022/07/23 09:16:42 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 1.0000e-03 eta: 7:02:26 time: 0.2304 data_time: 0.0183 memory: 6108 grad_norm: 8.2239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4077 loss: 1.4077 2022/07/23 09:16:47 - mmengine - INFO - Epoch(train) [72][2520/3757] lr: 1.0000e-03 eta: 7:02:21 time: 0.2298 data_time: 0.0218 memory: 6108 grad_norm: 8.4400 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2215 loss: 1.2215 2022/07/23 09:16:52 - mmengine - INFO - Epoch(train) [72][2540/3757] lr: 1.0000e-03 eta: 7:02:16 time: 0.2520 data_time: 0.0226 memory: 6108 grad_norm: 8.4679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6007 loss: 1.6007 2022/07/23 09:16:56 - mmengine - INFO - Epoch(train) [72][2560/3757] lr: 1.0000e-03 eta: 7:02:12 time: 0.2246 data_time: 0.0163 memory: 6108 grad_norm: 8.2815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/07/23 09:17:01 - mmengine - INFO - Epoch(train) [72][2580/3757] lr: 1.0000e-03 eta: 7:02:07 time: 0.2313 data_time: 0.0272 memory: 6108 grad_norm: 8.0195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5817 loss: 1.5817 2022/07/23 09:17:06 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 1.0000e-03 eta: 7:02:02 time: 0.2334 data_time: 0.0213 memory: 6108 grad_norm: 8.3119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/07/23 09:17:10 - mmengine - INFO - Epoch(train) [72][2620/3757] lr: 1.0000e-03 eta: 7:01:57 time: 0.2367 data_time: 0.0185 memory: 6108 grad_norm: 8.3042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2713 loss: 1.2713 2022/07/23 09:17:15 - mmengine - INFO - Epoch(train) [72][2640/3757] lr: 1.0000e-03 eta: 7:01:52 time: 0.2330 data_time: 0.0209 memory: 6108 grad_norm: 8.1290 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3310 loss: 1.3310 2022/07/23 09:17:20 - mmengine - INFO - Epoch(train) [72][2660/3757] lr: 1.0000e-03 eta: 7:01:48 time: 0.2270 data_time: 0.0212 memory: 6108 grad_norm: 7.9712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3262 loss: 1.3262 2022/07/23 09:17:24 - mmengine - INFO - Epoch(train) [72][2680/3757] lr: 1.0000e-03 eta: 7:01:43 time: 0.2264 data_time: 0.0210 memory: 6108 grad_norm: 8.4846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/07/23 09:17:29 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 1.0000e-03 eta: 7:01:38 time: 0.2444 data_time: 0.0240 memory: 6108 grad_norm: 8.1192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/07/23 09:17:34 - mmengine - INFO - Epoch(train) [72][2720/3757] lr: 1.0000e-03 eta: 7:01:33 time: 0.2256 data_time: 0.0201 memory: 6108 grad_norm: 8.3306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/07/23 09:17:38 - mmengine - INFO - Epoch(train) [72][2740/3757] lr: 1.0000e-03 eta: 7:01:28 time: 0.2326 data_time: 0.0196 memory: 6108 grad_norm: 8.2855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/07/23 09:17:43 - mmengine - INFO - Epoch(train) [72][2760/3757] lr: 1.0000e-03 eta: 7:01:23 time: 0.2300 data_time: 0.0228 memory: 6108 grad_norm: 8.4608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4450 loss: 1.4450 2022/07/23 09:17:48 - mmengine - INFO - Epoch(train) [72][2780/3757] lr: 1.0000e-03 eta: 7:01:19 time: 0.2342 data_time: 0.0210 memory: 6108 grad_norm: 8.1474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0177 loss: 1.0177 2022/07/23 09:17:52 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 1.0000e-03 eta: 7:01:14 time: 0.2328 data_time: 0.0267 memory: 6108 grad_norm: 8.2410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/07/23 09:17:57 - mmengine - INFO - Epoch(train) [72][2820/3757] lr: 1.0000e-03 eta: 7:01:09 time: 0.2318 data_time: 0.0350 memory: 6108 grad_norm: 8.4047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1532 loss: 1.1532 2022/07/23 09:18:02 - mmengine - INFO - Epoch(train) [72][2840/3757] lr: 1.0000e-03 eta: 7:01:04 time: 0.2285 data_time: 0.0275 memory: 6108 grad_norm: 8.0864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1209 loss: 1.1209 2022/07/23 09:18:06 - mmengine - INFO - Epoch(train) [72][2860/3757] lr: 1.0000e-03 eta: 7:00:59 time: 0.2281 data_time: 0.0182 memory: 6108 grad_norm: 8.1108 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4407 loss: 1.4407 2022/07/23 09:18:11 - mmengine - INFO - Epoch(train) [72][2880/3757] lr: 1.0000e-03 eta: 7:00:55 time: 0.2535 data_time: 0.0191 memory: 6108 grad_norm: 8.3562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/07/23 09:18:16 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 1.0000e-03 eta: 7:00:50 time: 0.2288 data_time: 0.0254 memory: 6108 grad_norm: 8.4928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2827 loss: 1.2827 2022/07/23 09:18:20 - mmengine - INFO - Epoch(train) [72][2920/3757] lr: 1.0000e-03 eta: 7:00:45 time: 0.2255 data_time: 0.0197 memory: 6108 grad_norm: 8.2906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2927 loss: 1.2927 2022/07/23 09:18:25 - mmengine - INFO - Epoch(train) [72][2940/3757] lr: 1.0000e-03 eta: 7:00:40 time: 0.2265 data_time: 0.0234 memory: 6108 grad_norm: 8.4140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3128 loss: 1.3128 2022/07/23 09:18:30 - mmengine - INFO - Epoch(train) [72][2960/3757] lr: 1.0000e-03 eta: 7:00:35 time: 0.2410 data_time: 0.0224 memory: 6108 grad_norm: 8.1809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5489 loss: 1.5489 2022/07/23 09:18:34 - mmengine - INFO - Epoch(train) [72][2980/3757] lr: 1.0000e-03 eta: 7:00:31 time: 0.2245 data_time: 0.0171 memory: 6108 grad_norm: 8.5354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5381 loss: 1.5381 2022/07/23 09:18:39 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 1.0000e-03 eta: 7:00:26 time: 0.2389 data_time: 0.0213 memory: 6108 grad_norm: 8.5004 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4427 loss: 1.4427 2022/07/23 09:18:44 - mmengine - INFO - Epoch(train) [72][3020/3757] lr: 1.0000e-03 eta: 7:00:21 time: 0.2267 data_time: 0.0192 memory: 6108 grad_norm: 8.2841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4262 loss: 1.4262 2022/07/23 09:18:48 - mmengine - INFO - Epoch(train) [72][3040/3757] lr: 1.0000e-03 eta: 7:00:16 time: 0.2269 data_time: 0.0211 memory: 6108 grad_norm: 8.4843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4206 loss: 1.4206 2022/07/23 09:18:53 - mmengine - INFO - Epoch(train) [72][3060/3757] lr: 1.0000e-03 eta: 7:00:11 time: 0.2436 data_time: 0.0200 memory: 6108 grad_norm: 8.3049 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2306 loss: 1.2306 2022/07/23 09:18:58 - mmengine - INFO - Epoch(train) [72][3080/3757] lr: 1.0000e-03 eta: 7:00:07 time: 0.2298 data_time: 0.0253 memory: 6108 grad_norm: 8.4026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/07/23 09:19:03 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 1.0000e-03 eta: 7:00:02 time: 0.2369 data_time: 0.0194 memory: 6108 grad_norm: 8.4512 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3449 loss: 1.3449 2022/07/23 09:19:07 - mmengine - INFO - Epoch(train) [72][3120/3757] lr: 1.0000e-03 eta: 6:59:57 time: 0.2249 data_time: 0.0211 memory: 6108 grad_norm: 8.3525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2099 loss: 1.2099 2022/07/23 09:19:12 - mmengine - INFO - Epoch(train) [72][3140/3757] lr: 1.0000e-03 eta: 6:59:52 time: 0.2362 data_time: 0.0227 memory: 6108 grad_norm: 8.2236 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3429 loss: 1.3429 2022/07/23 09:19:16 - mmengine - INFO - Epoch(train) [72][3160/3757] lr: 1.0000e-03 eta: 6:59:47 time: 0.2288 data_time: 0.0219 memory: 6108 grad_norm: 8.0384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5586 loss: 1.5586 2022/07/23 09:19:21 - mmengine - INFO - Epoch(train) [72][3180/3757] lr: 1.0000e-03 eta: 6:59:43 time: 0.2321 data_time: 0.0265 memory: 6108 grad_norm: 8.4399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2976 loss: 1.2976 2022/07/23 09:19:26 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 1.0000e-03 eta: 6:59:38 time: 0.2308 data_time: 0.0265 memory: 6108 grad_norm: 8.2745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/07/23 09:19:31 - mmengine - INFO - Epoch(train) [72][3220/3757] lr: 1.0000e-03 eta: 6:59:33 time: 0.2545 data_time: 0.0266 memory: 6108 grad_norm: 8.2528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4074 loss: 1.4074 2022/07/23 09:19:35 - mmengine - INFO - Epoch(train) [72][3240/3757] lr: 1.0000e-03 eta: 6:59:28 time: 0.2258 data_time: 0.0200 memory: 6108 grad_norm: 8.0971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2736 loss: 1.2736 2022/07/23 09:19:38 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:19:40 - mmengine - INFO - Epoch(train) [72][3260/3757] lr: 1.0000e-03 eta: 6:59:23 time: 0.2334 data_time: 0.0280 memory: 6108 grad_norm: 8.5342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3868 loss: 1.3868 2022/07/23 09:19:45 - mmengine - INFO - Epoch(train) [72][3280/3757] lr: 1.0000e-03 eta: 6:59:19 time: 0.2280 data_time: 0.0179 memory: 6108 grad_norm: 7.6182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/07/23 09:19:50 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 1.0000e-03 eta: 6:59:14 time: 0.2551 data_time: 0.0214 memory: 6108 grad_norm: 8.1203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/07/23 09:19:54 - mmengine - INFO - Epoch(train) [72][3320/3757] lr: 1.0000e-03 eta: 6:59:09 time: 0.2215 data_time: 0.0158 memory: 6108 grad_norm: 8.2844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4137 loss: 1.4137 2022/07/23 09:19:59 - mmengine - INFO - Epoch(train) [72][3340/3757] lr: 1.0000e-03 eta: 6:59:04 time: 0.2307 data_time: 0.0196 memory: 6108 grad_norm: 8.2115 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5959 loss: 1.5959 2022/07/23 09:20:04 - mmengine - INFO - Epoch(train) [72][3360/3757] lr: 1.0000e-03 eta: 6:58:59 time: 0.2290 data_time: 0.0228 memory: 6108 grad_norm: 8.4713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2361 loss: 1.2361 2022/07/23 09:20:08 - mmengine - INFO - Epoch(train) [72][3380/3757] lr: 1.0000e-03 eta: 6:58:55 time: 0.2295 data_time: 0.0201 memory: 6108 grad_norm: 8.0914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1515 loss: 1.1515 2022/07/23 09:20:13 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 1.0000e-03 eta: 6:58:50 time: 0.2383 data_time: 0.0187 memory: 6108 grad_norm: 8.6384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5055 loss: 1.5055 2022/07/23 09:20:18 - mmengine - INFO - Epoch(train) [72][3420/3757] lr: 1.0000e-03 eta: 6:58:45 time: 0.2282 data_time: 0.0239 memory: 6108 grad_norm: 8.6898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4279 loss: 1.4279 2022/07/23 09:20:22 - mmengine - INFO - Epoch(train) [72][3440/3757] lr: 1.0000e-03 eta: 6:58:40 time: 0.2302 data_time: 0.0236 memory: 6108 grad_norm: 8.1050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3607 loss: 1.3607 2022/07/23 09:20:27 - mmengine - INFO - Epoch(train) [72][3460/3757] lr: 1.0000e-03 eta: 6:58:35 time: 0.2282 data_time: 0.0200 memory: 6108 grad_norm: 8.4471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4194 loss: 1.4194 2022/07/23 09:20:32 - mmengine - INFO - Epoch(train) [72][3480/3757] lr: 1.0000e-03 eta: 6:58:31 time: 0.2383 data_time: 0.0254 memory: 6108 grad_norm: 8.0974 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4774 loss: 1.4774 2022/07/23 09:20:36 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 1.0000e-03 eta: 6:58:26 time: 0.2306 data_time: 0.0253 memory: 6108 grad_norm: 8.0259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2380 loss: 1.2380 2022/07/23 09:20:41 - mmengine - INFO - Epoch(train) [72][3520/3757] lr: 1.0000e-03 eta: 6:58:21 time: 0.2533 data_time: 0.0181 memory: 6108 grad_norm: 8.3234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/07/23 09:20:46 - mmengine - INFO - Epoch(train) [72][3540/3757] lr: 1.0000e-03 eta: 6:58:16 time: 0.2276 data_time: 0.0247 memory: 6108 grad_norm: 8.2509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/07/23 09:20:51 - mmengine - INFO - Epoch(train) [72][3560/3757] lr: 1.0000e-03 eta: 6:58:11 time: 0.2323 data_time: 0.0178 memory: 6108 grad_norm: 8.4498 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5150 loss: 1.5150 2022/07/23 09:20:55 - mmengine - INFO - Epoch(train) [72][3580/3757] lr: 1.0000e-03 eta: 6:58:07 time: 0.2307 data_time: 0.0238 memory: 6108 grad_norm: 8.1073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4359 loss: 1.4359 2022/07/23 09:21:00 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 1.0000e-03 eta: 6:58:02 time: 0.2314 data_time: 0.0215 memory: 6108 grad_norm: 8.2492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/07/23 09:21:04 - mmengine - INFO - Epoch(train) [72][3620/3757] lr: 1.0000e-03 eta: 6:57:57 time: 0.2247 data_time: 0.0186 memory: 6108 grad_norm: 8.1787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1653 loss: 1.1653 2022/07/23 09:21:09 - mmengine - INFO - Epoch(train) [72][3640/3757] lr: 1.0000e-03 eta: 6:57:52 time: 0.2281 data_time: 0.0206 memory: 6108 grad_norm: 8.0789 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3854 loss: 1.3854 2022/07/23 09:21:14 - mmengine - INFO - Epoch(train) [72][3660/3757] lr: 1.0000e-03 eta: 6:57:47 time: 0.2333 data_time: 0.0262 memory: 6108 grad_norm: 8.0488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0357 loss: 1.0357 2022/07/23 09:21:18 - mmengine - INFO - Epoch(train) [72][3680/3757] lr: 1.0000e-03 eta: 6:57:42 time: 0.2275 data_time: 0.0226 memory: 6108 grad_norm: 8.0526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3919 loss: 1.3919 2022/07/23 09:21:23 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 1.0000e-03 eta: 6:57:38 time: 0.2338 data_time: 0.0212 memory: 6108 grad_norm: 8.4066 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1218 loss: 1.1218 2022/07/23 09:21:27 - mmengine - INFO - Epoch(train) [72][3720/3757] lr: 1.0000e-03 eta: 6:57:33 time: 0.2282 data_time: 0.0243 memory: 6108 grad_norm: 8.3898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8649 loss: 1.8649 2022/07/23 09:21:32 - mmengine - INFO - Epoch(train) [72][3740/3757] lr: 1.0000e-03 eta: 6:57:28 time: 0.2312 data_time: 0.0250 memory: 6108 grad_norm: 8.4382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6366 loss: 1.6366 2022/07/23 09:21:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:21:36 - mmengine - INFO - Epoch(train) [72][3757/3757] lr: 1.0000e-03 eta: 6:57:28 time: 0.2391 data_time: 0.0165 memory: 6108 grad_norm: 8.8170 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5253 loss: 1.5253 2022/07/23 09:21:42 - mmengine - INFO - Epoch(val) [72][20/310] eta: 0:01:17 time: 0.2658 data_time: 0.1843 memory: 1428 2022/07/23 09:21:45 - mmengine - INFO - Epoch(val) [72][40/310] eta: 0:00:50 time: 0.1888 data_time: 0.1087 memory: 1428 2022/07/23 09:21:50 - mmengine - INFO - Epoch(val) [72][60/310] eta: 0:00:57 time: 0.2309 data_time: 0.1548 memory: 1428 2022/07/23 09:21:54 - mmengine - INFO - Epoch(val) [72][80/310] eta: 0:00:46 time: 0.2039 data_time: 0.1259 memory: 1428 2022/07/23 09:21:59 - mmengine - INFO - Epoch(val) [72][100/310] eta: 0:00:46 time: 0.2226 data_time: 0.1446 memory: 1428 2022/07/23 09:22:03 - mmengine - INFO - Epoch(val) [72][120/310] eta: 0:00:38 time: 0.2048 data_time: 0.1293 memory: 1428 2022/07/23 09:22:07 - mmengine - INFO - Epoch(val) [72][140/310] eta: 0:00:39 time: 0.2297 data_time: 0.1513 memory: 1428 2022/07/23 09:22:11 - mmengine - INFO - Epoch(val) [72][160/310] eta: 0:00:28 time: 0.1873 data_time: 0.1012 memory: 1428 2022/07/23 09:22:16 - mmengine - INFO - Epoch(val) [72][180/310] eta: 0:00:31 time: 0.2397 data_time: 0.1596 memory: 1428 2022/07/23 09:22:19 - mmengine - INFO - Epoch(val) [72][200/310] eta: 0:00:19 time: 0.1800 data_time: 0.1036 memory: 1428 2022/07/23 09:22:25 - mmengine - INFO - Epoch(val) [72][220/310] eta: 0:00:24 time: 0.2769 data_time: 0.2017 memory: 1428 2022/07/23 09:22:29 - mmengine - INFO - Epoch(val) [72][240/310] eta: 0:00:12 time: 0.1777 data_time: 0.1046 memory: 1428 2022/07/23 09:22:34 - mmengine - INFO - Epoch(val) [72][260/310] eta: 0:00:12 time: 0.2506 data_time: 0.1759 memory: 1428 2022/07/23 09:22:37 - mmengine - INFO - Epoch(val) [72][280/310] eta: 0:00:05 time: 0.1918 data_time: 0.1162 memory: 1428 2022/07/23 09:22:42 - mmengine - INFO - Epoch(val) [72][300/310] eta: 0:00:02 time: 0.2061 data_time: 0.1336 memory: 1428 2022/07/23 09:22:44 - mmengine - INFO - Epoch(val) [72][310/310] acc/top1: 0.6567 acc/top5: 0.8601 acc/mean1: 0.6566 2022/07/23 09:22:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_60.pth is removed 2022/07/23 09:22:47 - mmengine - INFO - The best checkpoint with 0.6567 acc/top1 at 73 epoch is saved to best_acc/top1_epoch_73.pth. 2022/07/23 09:22:53 - mmengine - INFO - Epoch(train) [73][20/3757] lr: 1.0000e-03 eta: 6:57:18 time: 0.2788 data_time: 0.0824 memory: 6108 grad_norm: 8.2071 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1513 loss: 1.1513 2022/07/23 09:22:57 - mmengine - INFO - Epoch(train) [73][40/3757] lr: 1.0000e-03 eta: 6:57:13 time: 0.2309 data_time: 0.0161 memory: 6108 grad_norm: 8.1036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/07/23 09:23:03 - mmengine - INFO - Epoch(train) [73][60/3757] lr: 1.0000e-03 eta: 6:57:09 time: 0.2608 data_time: 0.0284 memory: 6108 grad_norm: 8.4986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3839 loss: 1.3839 2022/07/23 09:23:07 - mmengine - INFO - Epoch(train) [73][80/3757] lr: 1.0000e-03 eta: 6:57:04 time: 0.2303 data_time: 0.0206 memory: 6108 grad_norm: 8.4212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0956 loss: 1.0956 2022/07/23 09:23:12 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 1.0000e-03 eta: 6:56:59 time: 0.2334 data_time: 0.0195 memory: 6108 grad_norm: 8.2766 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8141 loss: 1.8141 2022/07/23 09:23:17 - mmengine - INFO - Epoch(train) [73][120/3757] lr: 1.0000e-03 eta: 6:56:54 time: 0.2415 data_time: 0.0237 memory: 6108 grad_norm: 8.3192 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3213 loss: 1.3213 2022/07/23 09:23:21 - mmengine - INFO - Epoch(train) [73][140/3757] lr: 1.0000e-03 eta: 6:56:49 time: 0.2390 data_time: 0.0218 memory: 6108 grad_norm: 8.3458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1888 loss: 1.1888 2022/07/23 09:23:26 - mmengine - INFO - Epoch(train) [73][160/3757] lr: 1.0000e-03 eta: 6:56:45 time: 0.2284 data_time: 0.0235 memory: 6108 grad_norm: 7.9552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/07/23 09:23:31 - mmengine - INFO - Epoch(train) [73][180/3757] lr: 1.0000e-03 eta: 6:56:40 time: 0.2455 data_time: 0.0214 memory: 6108 grad_norm: 7.8626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1309 loss: 1.1309 2022/07/23 09:23:36 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 1.0000e-03 eta: 6:56:35 time: 0.2307 data_time: 0.0247 memory: 6108 grad_norm: 7.8138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0375 loss: 1.0375 2022/07/23 09:23:40 - mmengine - INFO - Epoch(train) [73][220/3757] lr: 1.0000e-03 eta: 6:56:30 time: 0.2322 data_time: 0.0244 memory: 6108 grad_norm: 8.1646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2940 loss: 1.2940 2022/07/23 09:23:45 - mmengine - INFO - Epoch(train) [73][240/3757] lr: 1.0000e-03 eta: 6:56:25 time: 0.2253 data_time: 0.0232 memory: 6108 grad_norm: 8.5721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/07/23 09:23:50 - mmengine - INFO - Epoch(train) [73][260/3757] lr: 1.0000e-03 eta: 6:56:21 time: 0.2313 data_time: 0.0220 memory: 6108 grad_norm: 8.3266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2657 loss: 1.2657 2022/07/23 09:23:54 - mmengine - INFO - Epoch(train) [73][280/3757] lr: 1.0000e-03 eta: 6:56:16 time: 0.2297 data_time: 0.0313 memory: 6108 grad_norm: 8.1310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3164 loss: 1.3164 2022/07/23 09:23:59 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 1.0000e-03 eta: 6:56:11 time: 0.2514 data_time: 0.0419 memory: 6108 grad_norm: 8.0567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4189 loss: 1.4189 2022/07/23 09:24:04 - mmengine - INFO - Epoch(train) [73][320/3757] lr: 1.0000e-03 eta: 6:56:06 time: 0.2457 data_time: 0.0455 memory: 6108 grad_norm: 8.0831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6770 loss: 1.6770 2022/07/23 09:24:09 - mmengine - INFO - Epoch(train) [73][340/3757] lr: 1.0000e-03 eta: 6:56:02 time: 0.2277 data_time: 0.0222 memory: 6108 grad_norm: 7.7199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2316 loss: 1.2316 2022/07/23 09:24:13 - mmengine - INFO - Epoch(train) [73][360/3757] lr: 1.0000e-03 eta: 6:55:57 time: 0.2274 data_time: 0.0250 memory: 6108 grad_norm: 7.9812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/07/23 09:24:18 - mmengine - INFO - Epoch(train) [73][380/3757] lr: 1.0000e-03 eta: 6:55:52 time: 0.2264 data_time: 0.0186 memory: 6108 grad_norm: 7.7264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1607 loss: 1.1607 2022/07/23 09:24:23 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 1.0000e-03 eta: 6:55:47 time: 0.2366 data_time: 0.0252 memory: 6108 grad_norm: 8.2590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4641 loss: 1.4641 2022/07/23 09:24:27 - mmengine - INFO - Epoch(train) [73][420/3757] lr: 1.0000e-03 eta: 6:55:42 time: 0.2316 data_time: 0.0298 memory: 6108 grad_norm: 8.1119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4699 loss: 1.4699 2022/07/23 09:24:32 - mmengine - INFO - Epoch(train) [73][440/3757] lr: 1.0000e-03 eta: 6:55:38 time: 0.2329 data_time: 0.0221 memory: 6108 grad_norm: 8.2189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2637 loss: 1.2637 2022/07/23 09:24:37 - mmengine - INFO - Epoch(train) [73][460/3757] lr: 1.0000e-03 eta: 6:55:33 time: 0.2279 data_time: 0.0199 memory: 6108 grad_norm: 8.3099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/07/23 09:24:41 - mmengine - INFO - Epoch(train) [73][480/3757] lr: 1.0000e-03 eta: 6:55:28 time: 0.2442 data_time: 0.0224 memory: 6108 grad_norm: 8.0869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2325 loss: 1.2325 2022/07/23 09:24:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:24:46 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 1.0000e-03 eta: 6:55:23 time: 0.2312 data_time: 0.0280 memory: 6108 grad_norm: 8.4294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2738 loss: 1.2738 2022/07/23 09:24:51 - mmengine - INFO - Epoch(train) [73][520/3757] lr: 1.0000e-03 eta: 6:55:18 time: 0.2390 data_time: 0.0223 memory: 6108 grad_norm: 7.9688 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/07/23 09:24:56 - mmengine - INFO - Epoch(train) [73][540/3757] lr: 1.0000e-03 eta: 6:55:14 time: 0.2331 data_time: 0.0250 memory: 6108 grad_norm: 8.2178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4872 loss: 1.4872 2022/07/23 09:25:00 - mmengine - INFO - Epoch(train) [73][560/3757] lr: 1.0000e-03 eta: 6:55:09 time: 0.2369 data_time: 0.0207 memory: 6108 grad_norm: 8.0777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3899 loss: 1.3899 2022/07/23 09:25:05 - mmengine - INFO - Epoch(train) [73][580/3757] lr: 1.0000e-03 eta: 6:55:04 time: 0.2267 data_time: 0.0206 memory: 6108 grad_norm: 8.2232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6946 loss: 1.6946 2022/07/23 09:25:10 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 1.0000e-03 eta: 6:54:59 time: 0.2434 data_time: 0.0319 memory: 6108 grad_norm: 8.0381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/07/23 09:25:14 - mmengine - INFO - Epoch(train) [73][620/3757] lr: 1.0000e-03 eta: 6:54:54 time: 0.2281 data_time: 0.0190 memory: 6108 grad_norm: 8.3681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4428 loss: 1.4428 2022/07/23 09:25:19 - mmengine - INFO - Epoch(train) [73][640/3757] lr: 1.0000e-03 eta: 6:54:50 time: 0.2300 data_time: 0.0215 memory: 6108 grad_norm: 8.1132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/07/23 09:25:24 - mmengine - INFO - Epoch(train) [73][660/3757] lr: 1.0000e-03 eta: 6:54:45 time: 0.2407 data_time: 0.0214 memory: 6108 grad_norm: 8.4725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/07/23 09:25:29 - mmengine - INFO - Epoch(train) [73][680/3757] lr: 1.0000e-03 eta: 6:54:40 time: 0.2332 data_time: 0.0188 memory: 6108 grad_norm: 7.6945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1910 loss: 1.1910 2022/07/23 09:25:33 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 1.0000e-03 eta: 6:54:35 time: 0.2274 data_time: 0.0243 memory: 6108 grad_norm: 8.4491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/07/23 09:25:38 - mmengine - INFO - Epoch(train) [73][720/3757] lr: 1.0000e-03 eta: 6:54:30 time: 0.2283 data_time: 0.0261 memory: 6108 grad_norm: 8.1622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4189 loss: 1.4189 2022/07/23 09:25:42 - mmengine - INFO - Epoch(train) [73][740/3757] lr: 1.0000e-03 eta: 6:54:26 time: 0.2345 data_time: 0.0216 memory: 6108 grad_norm: 8.0999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/07/23 09:25:47 - mmengine - INFO - Epoch(train) [73][760/3757] lr: 1.0000e-03 eta: 6:54:21 time: 0.2318 data_time: 0.0203 memory: 6108 grad_norm: 8.4395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/07/23 09:25:52 - mmengine - INFO - Epoch(train) [73][780/3757] lr: 1.0000e-03 eta: 6:54:16 time: 0.2299 data_time: 0.0219 memory: 6108 grad_norm: 8.2390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2829 loss: 1.2829 2022/07/23 09:25:56 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 1.0000e-03 eta: 6:54:11 time: 0.2255 data_time: 0.0203 memory: 6108 grad_norm: 8.1399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/07/23 09:26:01 - mmengine - INFO - Epoch(train) [73][820/3757] lr: 1.0000e-03 eta: 6:54:06 time: 0.2531 data_time: 0.0188 memory: 6108 grad_norm: 8.1740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2783 loss: 1.2783 2022/07/23 09:26:06 - mmengine - INFO - Epoch(train) [73][840/3757] lr: 1.0000e-03 eta: 6:54:02 time: 0.2348 data_time: 0.0252 memory: 6108 grad_norm: 8.3923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5385 loss: 1.5385 2022/07/23 09:26:11 - mmengine - INFO - Epoch(train) [73][860/3757] lr: 1.0000e-03 eta: 6:53:57 time: 0.2265 data_time: 0.0201 memory: 6108 grad_norm: 8.3071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/23 09:26:15 - mmengine - INFO - Epoch(train) [73][880/3757] lr: 1.0000e-03 eta: 6:53:52 time: 0.2261 data_time: 0.0239 memory: 6108 grad_norm: 8.3817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2646 loss: 1.2646 2022/07/23 09:26:20 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 1.0000e-03 eta: 6:53:47 time: 0.2359 data_time: 0.0274 memory: 6108 grad_norm: 8.4955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/07/23 09:26:24 - mmengine - INFO - Epoch(train) [73][920/3757] lr: 1.0000e-03 eta: 6:53:42 time: 0.2286 data_time: 0.0185 memory: 6108 grad_norm: 8.7047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/07/23 09:26:29 - mmengine - INFO - Epoch(train) [73][940/3757] lr: 1.0000e-03 eta: 6:53:38 time: 0.2286 data_time: 0.0222 memory: 6108 grad_norm: 8.2323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2223 loss: 1.2223 2022/07/23 09:26:34 - mmengine - INFO - Epoch(train) [73][960/3757] lr: 1.0000e-03 eta: 6:53:33 time: 0.2387 data_time: 0.0246 memory: 6108 grad_norm: 8.2445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3281 loss: 1.3281 2022/07/23 09:26:39 - mmengine - INFO - Epoch(train) [73][980/3757] lr: 1.0000e-03 eta: 6:53:28 time: 0.2342 data_time: 0.0333 memory: 6108 grad_norm: 8.3730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/07/23 09:26:44 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 1.0000e-03 eta: 6:53:23 time: 0.2452 data_time: 0.0230 memory: 6108 grad_norm: 8.3202 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2012 loss: 1.2012 2022/07/23 09:26:48 - mmengine - INFO - Epoch(train) [73][1020/3757] lr: 1.0000e-03 eta: 6:53:18 time: 0.2323 data_time: 0.0280 memory: 6108 grad_norm: 8.3594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/07/23 09:26:53 - mmengine - INFO - Epoch(train) [73][1040/3757] lr: 1.0000e-03 eta: 6:53:14 time: 0.2318 data_time: 0.0210 memory: 6108 grad_norm: 8.1400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1494 loss: 1.1494 2022/07/23 09:26:57 - mmengine - INFO - Epoch(train) [73][1060/3757] lr: 1.0000e-03 eta: 6:53:09 time: 0.2291 data_time: 0.0255 memory: 6108 grad_norm: 8.5814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4860 loss: 1.4860 2022/07/23 09:27:02 - mmengine - INFO - Epoch(train) [73][1080/3757] lr: 1.0000e-03 eta: 6:53:04 time: 0.2305 data_time: 0.0261 memory: 6108 grad_norm: 8.6557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4135 loss: 1.4135 2022/07/23 09:27:07 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 1.0000e-03 eta: 6:52:59 time: 0.2268 data_time: 0.0181 memory: 6108 grad_norm: 8.6880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/07/23 09:27:11 - mmengine - INFO - Epoch(train) [73][1120/3757] lr: 1.0000e-03 eta: 6:52:54 time: 0.2384 data_time: 0.0241 memory: 6108 grad_norm: 8.5734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/07/23 09:27:16 - mmengine - INFO - Epoch(train) [73][1140/3757] lr: 1.0000e-03 eta: 6:52:50 time: 0.2263 data_time: 0.0206 memory: 6108 grad_norm: 8.6300 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4866 loss: 1.4866 2022/07/23 09:27:21 - mmengine - INFO - Epoch(train) [73][1160/3757] lr: 1.0000e-03 eta: 6:52:45 time: 0.2510 data_time: 0.0194 memory: 6108 grad_norm: 7.9293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/07/23 09:27:25 - mmengine - INFO - Epoch(train) [73][1180/3757] lr: 1.0000e-03 eta: 6:52:40 time: 0.2198 data_time: 0.0204 memory: 6108 grad_norm: 8.2422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4499 loss: 1.4499 2022/07/23 09:27:30 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 1.0000e-03 eta: 6:52:35 time: 0.2345 data_time: 0.0266 memory: 6108 grad_norm: 8.2768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5742 loss: 1.5742 2022/07/23 09:27:35 - mmengine - INFO - Epoch(train) [73][1220/3757] lr: 1.0000e-03 eta: 6:52:30 time: 0.2252 data_time: 0.0222 memory: 6108 grad_norm: 8.4112 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4065 loss: 1.4065 2022/07/23 09:27:39 - mmengine - INFO - Epoch(train) [73][1240/3757] lr: 1.0000e-03 eta: 6:52:26 time: 0.2296 data_time: 0.0205 memory: 6108 grad_norm: 8.2403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2016 loss: 1.2016 2022/07/23 09:27:44 - mmengine - INFO - Epoch(train) [73][1260/3757] lr: 1.0000e-03 eta: 6:52:21 time: 0.2270 data_time: 0.0212 memory: 6108 grad_norm: 8.6506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/07/23 09:27:49 - mmengine - INFO - Epoch(train) [73][1280/3757] lr: 1.0000e-03 eta: 6:52:16 time: 0.2414 data_time: 0.0370 memory: 6108 grad_norm: 8.0316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8835 loss: 0.8835 2022/07/23 09:27:54 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 1.0000e-03 eta: 6:52:11 time: 0.2405 data_time: 0.0199 memory: 6108 grad_norm: 8.3471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2913 loss: 1.2913 2022/07/23 09:27:58 - mmengine - INFO - Epoch(train) [73][1320/3757] lr: 1.0000e-03 eta: 6:52:06 time: 0.2331 data_time: 0.0262 memory: 6108 grad_norm: 8.4356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/07/23 09:28:03 - mmengine - INFO - Epoch(train) [73][1340/3757] lr: 1.0000e-03 eta: 6:52:02 time: 0.2262 data_time: 0.0214 memory: 6108 grad_norm: 8.2452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/07/23 09:28:07 - mmengine - INFO - Epoch(train) [73][1360/3757] lr: 1.0000e-03 eta: 6:51:57 time: 0.2315 data_time: 0.0233 memory: 6108 grad_norm: 8.5111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3174 loss: 1.3174 2022/07/23 09:28:12 - mmengine - INFO - Epoch(train) [73][1380/3757] lr: 1.0000e-03 eta: 6:51:52 time: 0.2298 data_time: 0.0245 memory: 6108 grad_norm: 8.3689 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2785 loss: 1.2785 2022/07/23 09:28:17 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 1.0000e-03 eta: 6:51:47 time: 0.2434 data_time: 0.0206 memory: 6108 grad_norm: 7.9826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3371 loss: 1.3371 2022/07/23 09:28:22 - mmengine - INFO - Epoch(train) [73][1420/3757] lr: 1.0000e-03 eta: 6:51:42 time: 0.2275 data_time: 0.0203 memory: 6108 grad_norm: 8.4476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3106 loss: 1.3106 2022/07/23 09:28:26 - mmengine - INFO - Epoch(train) [73][1440/3757] lr: 1.0000e-03 eta: 6:51:38 time: 0.2290 data_time: 0.0232 memory: 6108 grad_norm: 8.7084 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/07/23 09:28:31 - mmengine - INFO - Epoch(train) [73][1460/3757] lr: 1.0000e-03 eta: 6:51:33 time: 0.2327 data_time: 0.0214 memory: 6108 grad_norm: 8.2447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3840 loss: 1.3840 2022/07/23 09:28:35 - mmengine - INFO - Epoch(train) [73][1480/3757] lr: 1.0000e-03 eta: 6:51:28 time: 0.2266 data_time: 0.0198 memory: 6108 grad_norm: 8.5134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5015 loss: 1.5015 2022/07/23 09:28:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:28:40 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 1.0000e-03 eta: 6:51:23 time: 0.2295 data_time: 0.0228 memory: 6108 grad_norm: 8.3274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/07/23 09:28:45 - mmengine - INFO - Epoch(train) [73][1520/3757] lr: 1.0000e-03 eta: 6:51:18 time: 0.2313 data_time: 0.0187 memory: 6108 grad_norm: 8.0489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/07/23 09:28:49 - mmengine - INFO - Epoch(train) [73][1540/3757] lr: 1.0000e-03 eta: 6:51:13 time: 0.2325 data_time: 0.0239 memory: 6108 grad_norm: 8.0449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/07/23 09:28:54 - mmengine - INFO - Epoch(train) [73][1560/3757] lr: 1.0000e-03 eta: 6:51:09 time: 0.2361 data_time: 0.0288 memory: 6108 grad_norm: 8.1599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2710 loss: 1.2710 2022/07/23 09:28:59 - mmengine - INFO - Epoch(train) [73][1580/3757] lr: 1.0000e-03 eta: 6:51:04 time: 0.2313 data_time: 0.0179 memory: 6108 grad_norm: 8.4113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/07/23 09:29:03 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 1.0000e-03 eta: 6:50:59 time: 0.2254 data_time: 0.0277 memory: 6108 grad_norm: 8.3620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2860 loss: 1.2860 2022/07/23 09:29:08 - mmengine - INFO - Epoch(train) [73][1620/3757] lr: 1.0000e-03 eta: 6:50:54 time: 0.2358 data_time: 0.0253 memory: 6108 grad_norm: 8.3586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/07/23 09:29:13 - mmengine - INFO - Epoch(train) [73][1640/3757] lr: 1.0000e-03 eta: 6:50:49 time: 0.2373 data_time: 0.0211 memory: 6108 grad_norm: 8.3915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3919 loss: 1.3919 2022/07/23 09:29:17 - mmengine - INFO - Epoch(train) [73][1660/3757] lr: 1.0000e-03 eta: 6:50:45 time: 0.2294 data_time: 0.0212 memory: 6108 grad_norm: 8.5267 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3668 loss: 1.3668 2022/07/23 09:29:22 - mmengine - INFO - Epoch(train) [73][1680/3757] lr: 1.0000e-03 eta: 6:50:40 time: 0.2270 data_time: 0.0224 memory: 6108 grad_norm: 8.4270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/23 09:29:27 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 1.0000e-03 eta: 6:50:35 time: 0.2290 data_time: 0.0174 memory: 6108 grad_norm: 8.5978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7096 loss: 1.7096 2022/07/23 09:29:31 - mmengine - INFO - Epoch(train) [73][1720/3757] lr: 1.0000e-03 eta: 6:50:30 time: 0.2351 data_time: 0.0213 memory: 6108 grad_norm: 8.1993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2981 loss: 1.2981 2022/07/23 09:29:36 - mmengine - INFO - Epoch(train) [73][1740/3757] lr: 1.0000e-03 eta: 6:50:25 time: 0.2473 data_time: 0.0224 memory: 6108 grad_norm: 8.5011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4752 loss: 1.4752 2022/07/23 09:29:41 - mmengine - INFO - Epoch(train) [73][1760/3757] lr: 1.0000e-03 eta: 6:50:21 time: 0.2293 data_time: 0.0196 memory: 6108 grad_norm: 8.3595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/07/23 09:29:46 - mmengine - INFO - Epoch(train) [73][1780/3757] lr: 1.0000e-03 eta: 6:50:16 time: 0.2363 data_time: 0.0236 memory: 6108 grad_norm: 8.1968 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/07/23 09:29:51 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 1.0000e-03 eta: 6:50:11 time: 0.2431 data_time: 0.0241 memory: 6108 grad_norm: 8.3890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2662 loss: 1.2662 2022/07/23 09:29:55 - mmengine - INFO - Epoch(train) [73][1820/3757] lr: 1.0000e-03 eta: 6:50:06 time: 0.2248 data_time: 0.0208 memory: 6108 grad_norm: 8.2846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/07/23 09:30:00 - mmengine - INFO - Epoch(train) [73][1840/3757] lr: 1.0000e-03 eta: 6:50:01 time: 0.2341 data_time: 0.0226 memory: 6108 grad_norm: 8.5698 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4778 loss: 1.4778 2022/07/23 09:30:04 - mmengine - INFO - Epoch(train) [73][1860/3757] lr: 1.0000e-03 eta: 6:49:57 time: 0.2290 data_time: 0.0244 memory: 6108 grad_norm: 8.3472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/07/23 09:30:09 - mmengine - INFO - Epoch(train) [73][1880/3757] lr: 1.0000e-03 eta: 6:49:52 time: 0.2278 data_time: 0.0188 memory: 6108 grad_norm: 7.9844 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4521 loss: 1.4521 2022/07/23 09:30:14 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 1.0000e-03 eta: 6:49:47 time: 0.2357 data_time: 0.0217 memory: 6108 grad_norm: 8.0786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/07/23 09:30:18 - mmengine - INFO - Epoch(train) [73][1920/3757] lr: 1.0000e-03 eta: 6:49:42 time: 0.2274 data_time: 0.0260 memory: 6108 grad_norm: 8.4696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3852 loss: 1.3852 2022/07/23 09:30:23 - mmengine - INFO - Epoch(train) [73][1940/3757] lr: 1.0000e-03 eta: 6:49:37 time: 0.2353 data_time: 0.0231 memory: 6108 grad_norm: 8.5274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3082 loss: 1.3082 2022/07/23 09:30:28 - mmengine - INFO - Epoch(train) [73][1960/3757] lr: 1.0000e-03 eta: 6:49:33 time: 0.2322 data_time: 0.0219 memory: 6108 grad_norm: 8.2999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4864 loss: 1.4864 2022/07/23 09:30:32 - mmengine - INFO - Epoch(train) [73][1980/3757] lr: 1.0000e-03 eta: 6:49:28 time: 0.2343 data_time: 0.0242 memory: 6108 grad_norm: 8.5985 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5322 loss: 1.5322 2022/07/23 09:30:37 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 1.0000e-03 eta: 6:49:23 time: 0.2307 data_time: 0.0208 memory: 6108 grad_norm: 8.3063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2321 loss: 1.2321 2022/07/23 09:30:42 - mmengine - INFO - Epoch(train) [73][2020/3757] lr: 1.0000e-03 eta: 6:49:18 time: 0.2315 data_time: 0.0297 memory: 6108 grad_norm: 8.4575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6145 loss: 1.6145 2022/07/23 09:30:46 - mmengine - INFO - Epoch(train) [73][2040/3757] lr: 1.0000e-03 eta: 6:49:13 time: 0.2311 data_time: 0.0246 memory: 6108 grad_norm: 8.2986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2296 loss: 1.2296 2022/07/23 09:30:51 - mmengine - INFO - Epoch(train) [73][2060/3757] lr: 1.0000e-03 eta: 6:49:09 time: 0.2348 data_time: 0.0227 memory: 6108 grad_norm: 7.9907 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5513 loss: 1.5513 2022/07/23 09:30:56 - mmengine - INFO - Epoch(train) [73][2080/3757] lr: 1.0000e-03 eta: 6:49:04 time: 0.2273 data_time: 0.0232 memory: 6108 grad_norm: 8.1616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3196 loss: 1.3196 2022/07/23 09:31:00 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 1.0000e-03 eta: 6:48:59 time: 0.2355 data_time: 0.0233 memory: 6108 grad_norm: 7.9702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1126 loss: 1.1126 2022/07/23 09:31:05 - mmengine - INFO - Epoch(train) [73][2120/3757] lr: 1.0000e-03 eta: 6:48:54 time: 0.2285 data_time: 0.0220 memory: 6108 grad_norm: 8.3468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2206 loss: 1.2206 2022/07/23 09:31:10 - mmengine - INFO - Epoch(train) [73][2140/3757] lr: 1.0000e-03 eta: 6:48:49 time: 0.2307 data_time: 0.0177 memory: 6108 grad_norm: 8.0596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/07/23 09:31:14 - mmengine - INFO - Epoch(train) [73][2160/3757] lr: 1.0000e-03 eta: 6:48:45 time: 0.2337 data_time: 0.0216 memory: 6108 grad_norm: 8.4410 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1753 loss: 1.1753 2022/07/23 09:31:19 - mmengine - INFO - Epoch(train) [73][2180/3757] lr: 1.0000e-03 eta: 6:48:40 time: 0.2324 data_time: 0.0202 memory: 6108 grad_norm: 8.3743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/07/23 09:31:24 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 1.0000e-03 eta: 6:48:35 time: 0.2323 data_time: 0.0203 memory: 6108 grad_norm: 8.5526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3130 loss: 1.3130 2022/07/23 09:31:28 - mmengine - INFO - Epoch(train) [73][2220/3757] lr: 1.0000e-03 eta: 6:48:30 time: 0.2274 data_time: 0.0261 memory: 6108 grad_norm: 8.4260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3089 loss: 1.3089 2022/07/23 09:31:33 - mmengine - INFO - Epoch(train) [73][2240/3757] lr: 1.0000e-03 eta: 6:48:25 time: 0.2343 data_time: 0.0192 memory: 6108 grad_norm: 8.4307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2159 loss: 1.2159 2022/07/23 09:31:38 - mmengine - INFO - Epoch(train) [73][2260/3757] lr: 1.0000e-03 eta: 6:48:20 time: 0.2277 data_time: 0.0267 memory: 6108 grad_norm: 8.3548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3585 loss: 1.3585 2022/07/23 09:31:42 - mmengine - INFO - Epoch(train) [73][2280/3757] lr: 1.0000e-03 eta: 6:48:16 time: 0.2332 data_time: 0.0229 memory: 6108 grad_norm: 8.2673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2936 loss: 1.2936 2022/07/23 09:31:47 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 1.0000e-03 eta: 6:48:11 time: 0.2286 data_time: 0.0200 memory: 6108 grad_norm: 8.3135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2748 loss: 1.2748 2022/07/23 09:31:51 - mmengine - INFO - Epoch(train) [73][2320/3757] lr: 1.0000e-03 eta: 6:48:06 time: 0.2331 data_time: 0.0192 memory: 6108 grad_norm: 8.5183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/07/23 09:31:56 - mmengine - INFO - Epoch(train) [73][2340/3757] lr: 1.0000e-03 eta: 6:48:01 time: 0.2372 data_time: 0.0210 memory: 6108 grad_norm: 8.2963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/07/23 09:32:01 - mmengine - INFO - Epoch(train) [73][2360/3757] lr: 1.0000e-03 eta: 6:47:56 time: 0.2291 data_time: 0.0214 memory: 6108 grad_norm: 8.4762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5720 loss: 1.5720 2022/07/23 09:32:05 - mmengine - INFO - Epoch(train) [73][2380/3757] lr: 1.0000e-03 eta: 6:47:52 time: 0.2278 data_time: 0.0204 memory: 6108 grad_norm: 8.6378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4129 loss: 1.4129 2022/07/23 09:32:10 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 1.0000e-03 eta: 6:47:47 time: 0.2276 data_time: 0.0218 memory: 6108 grad_norm: 8.1511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5203 loss: 1.5203 2022/07/23 09:32:15 - mmengine - INFO - Epoch(train) [73][2420/3757] lr: 1.0000e-03 eta: 6:47:42 time: 0.2353 data_time: 0.0201 memory: 6108 grad_norm: 8.3973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5119 loss: 1.5119 2022/07/23 09:32:19 - mmengine - INFO - Epoch(train) [73][2440/3757] lr: 1.0000e-03 eta: 6:47:37 time: 0.2326 data_time: 0.0205 memory: 6108 grad_norm: 8.3443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/07/23 09:32:24 - mmengine - INFO - Epoch(train) [73][2460/3757] lr: 1.0000e-03 eta: 6:47:32 time: 0.2428 data_time: 0.0212 memory: 6108 grad_norm: 8.4271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/07/23 09:32:29 - mmengine - INFO - Epoch(train) [73][2480/3757] lr: 1.0000e-03 eta: 6:47:28 time: 0.2310 data_time: 0.0186 memory: 6108 grad_norm: 8.6365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1751 loss: 1.1751 2022/07/23 09:32:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:32:34 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 1.0000e-03 eta: 6:47:23 time: 0.2392 data_time: 0.0248 memory: 6108 grad_norm: 8.4638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4098 loss: 1.4098 2022/07/23 09:32:38 - mmengine - INFO - Epoch(train) [73][2520/3757] lr: 1.0000e-03 eta: 6:47:18 time: 0.2275 data_time: 0.0220 memory: 6108 grad_norm: 8.7234 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3577 loss: 1.3577 2022/07/23 09:32:43 - mmengine - INFO - Epoch(train) [73][2540/3757] lr: 1.0000e-03 eta: 6:47:13 time: 0.2339 data_time: 0.0202 memory: 6108 grad_norm: 8.5024 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2355 loss: 1.2355 2022/07/23 09:32:48 - mmengine - INFO - Epoch(train) [73][2560/3757] lr: 1.0000e-03 eta: 6:47:08 time: 0.2265 data_time: 0.0179 memory: 6108 grad_norm: 8.5787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2677 loss: 1.2677 2022/07/23 09:32:52 - mmengine - INFO - Epoch(train) [73][2580/3757] lr: 1.0000e-03 eta: 6:47:04 time: 0.2364 data_time: 0.0257 memory: 6108 grad_norm: 8.2500 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6248 loss: 1.6248 2022/07/23 09:32:57 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 1.0000e-03 eta: 6:46:59 time: 0.2436 data_time: 0.0270 memory: 6108 grad_norm: 8.5316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1400 loss: 1.1400 2022/07/23 09:33:02 - mmengine - INFO - Epoch(train) [73][2620/3757] lr: 1.0000e-03 eta: 6:46:54 time: 0.2337 data_time: 0.0207 memory: 6108 grad_norm: 8.5157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3346 loss: 1.3346 2022/07/23 09:33:07 - mmengine - INFO - Epoch(train) [73][2640/3757] lr: 1.0000e-03 eta: 6:46:49 time: 0.2320 data_time: 0.0239 memory: 6108 grad_norm: 8.4274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3263 loss: 1.3263 2022/07/23 09:33:11 - mmengine - INFO - Epoch(train) [73][2660/3757] lr: 1.0000e-03 eta: 6:46:44 time: 0.2268 data_time: 0.0169 memory: 6108 grad_norm: 8.2711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2468 loss: 1.2468 2022/07/23 09:33:16 - mmengine - INFO - Epoch(train) [73][2680/3757] lr: 1.0000e-03 eta: 6:46:40 time: 0.2313 data_time: 0.0207 memory: 6108 grad_norm: 8.3612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3755 loss: 1.3755 2022/07/23 09:33:21 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 1.0000e-03 eta: 6:46:35 time: 0.2396 data_time: 0.0237 memory: 6108 grad_norm: 8.4158 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4330 loss: 1.4330 2022/07/23 09:33:25 - mmengine - INFO - Epoch(train) [73][2720/3757] lr: 1.0000e-03 eta: 6:46:30 time: 0.2310 data_time: 0.0197 memory: 6108 grad_norm: 8.1707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/07/23 09:33:30 - mmengine - INFO - Epoch(train) [73][2740/3757] lr: 1.0000e-03 eta: 6:46:25 time: 0.2285 data_time: 0.0192 memory: 6108 grad_norm: 8.2281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/07/23 09:33:35 - mmengine - INFO - Epoch(train) [73][2760/3757] lr: 1.0000e-03 eta: 6:46:21 time: 0.2445 data_time: 0.0264 memory: 6108 grad_norm: 8.6659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/07/23 09:33:39 - mmengine - INFO - Epoch(train) [73][2780/3757] lr: 1.0000e-03 eta: 6:46:16 time: 0.2312 data_time: 0.0176 memory: 6108 grad_norm: 8.4251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/07/23 09:33:44 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 1.0000e-03 eta: 6:46:11 time: 0.2358 data_time: 0.0344 memory: 6108 grad_norm: 8.5773 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1433 loss: 1.1433 2022/07/23 09:33:49 - mmengine - INFO - Epoch(train) [73][2820/3757] lr: 1.0000e-03 eta: 6:46:06 time: 0.2264 data_time: 0.0201 memory: 6108 grad_norm: 8.5148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/07/23 09:33:53 - mmengine - INFO - Epoch(train) [73][2840/3757] lr: 1.0000e-03 eta: 6:46:01 time: 0.2328 data_time: 0.0182 memory: 6108 grad_norm: 8.3454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3302 loss: 1.3302 2022/07/23 09:33:58 - mmengine - INFO - Epoch(train) [73][2860/3757] lr: 1.0000e-03 eta: 6:45:57 time: 0.2304 data_time: 0.0209 memory: 6108 grad_norm: 8.0351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/07/23 09:34:03 - mmengine - INFO - Epoch(train) [73][2880/3757] lr: 1.0000e-03 eta: 6:45:52 time: 0.2390 data_time: 0.0290 memory: 6108 grad_norm: 7.9564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2601 loss: 1.2601 2022/07/23 09:34:07 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 1.0000e-03 eta: 6:45:47 time: 0.2283 data_time: 0.0163 memory: 6108 grad_norm: 8.4108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6330 loss: 1.6330 2022/07/23 09:34:12 - mmengine - INFO - Epoch(train) [73][2920/3757] lr: 1.0000e-03 eta: 6:45:42 time: 0.2348 data_time: 0.0184 memory: 6108 grad_norm: 8.6980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3387 loss: 1.3387 2022/07/23 09:34:17 - mmengine - INFO - Epoch(train) [73][2940/3757] lr: 1.0000e-03 eta: 6:45:37 time: 0.2311 data_time: 0.0221 memory: 6108 grad_norm: 8.4609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3586 loss: 1.3586 2022/07/23 09:34:21 - mmengine - INFO - Epoch(train) [73][2960/3757] lr: 1.0000e-03 eta: 6:45:33 time: 0.2302 data_time: 0.0206 memory: 6108 grad_norm: 8.4765 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2674 loss: 1.2674 2022/07/23 09:34:26 - mmengine - INFO - Epoch(train) [73][2980/3757] lr: 1.0000e-03 eta: 6:45:28 time: 0.2260 data_time: 0.0197 memory: 6108 grad_norm: 8.4958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2685 loss: 1.2685 2022/07/23 09:34:31 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 1.0000e-03 eta: 6:45:23 time: 0.2438 data_time: 0.0207 memory: 6108 grad_norm: 8.5235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3467 loss: 1.3467 2022/07/23 09:34:36 - mmengine - INFO - Epoch(train) [73][3020/3757] lr: 1.0000e-03 eta: 6:45:18 time: 0.2426 data_time: 0.0205 memory: 6108 grad_norm: 8.9136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4189 loss: 1.4189 2022/07/23 09:34:40 - mmengine - INFO - Epoch(train) [73][3040/3757] lr: 1.0000e-03 eta: 6:45:13 time: 0.2327 data_time: 0.0178 memory: 6108 grad_norm: 8.5391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2842 loss: 1.2842 2022/07/23 09:34:45 - mmengine - INFO - Epoch(train) [73][3060/3757] lr: 1.0000e-03 eta: 6:45:09 time: 0.2334 data_time: 0.0261 memory: 6108 grad_norm: 8.7887 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1795 loss: 1.1795 2022/07/23 09:34:50 - mmengine - INFO - Epoch(train) [73][3080/3757] lr: 1.0000e-03 eta: 6:45:04 time: 0.2277 data_time: 0.0317 memory: 6108 grad_norm: 8.3607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2989 loss: 1.2989 2022/07/23 09:34:55 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 1.0000e-03 eta: 6:44:59 time: 0.2372 data_time: 0.0171 memory: 6108 grad_norm: 8.1829 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2602 loss: 1.2602 2022/07/23 09:34:59 - mmengine - INFO - Epoch(train) [73][3120/3757] lr: 1.0000e-03 eta: 6:44:54 time: 0.2281 data_time: 0.0216 memory: 6108 grad_norm: 8.5219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3263 loss: 1.3263 2022/07/23 09:35:04 - mmengine - INFO - Epoch(train) [73][3140/3757] lr: 1.0000e-03 eta: 6:44:49 time: 0.2325 data_time: 0.0199 memory: 6108 grad_norm: 8.1916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5397 loss: 1.5397 2022/07/23 09:35:08 - mmengine - INFO - Epoch(train) [73][3160/3757] lr: 1.0000e-03 eta: 6:44:45 time: 0.2335 data_time: 0.0178 memory: 6108 grad_norm: 8.0409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4589 loss: 1.4589 2022/07/23 09:35:13 - mmengine - INFO - Epoch(train) [73][3180/3757] lr: 1.0000e-03 eta: 6:44:40 time: 0.2383 data_time: 0.0249 memory: 6108 grad_norm: 8.1692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1212 loss: 1.1212 2022/07/23 09:35:18 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 1.0000e-03 eta: 6:44:35 time: 0.2246 data_time: 0.0197 memory: 6108 grad_norm: 8.5314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/07/23 09:35:22 - mmengine - INFO - Epoch(train) [73][3220/3757] lr: 1.0000e-03 eta: 6:44:30 time: 0.2284 data_time: 0.0208 memory: 6108 grad_norm: 8.5733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3295 loss: 1.3295 2022/07/23 09:35:27 - mmengine - INFO - Epoch(train) [73][3240/3757] lr: 1.0000e-03 eta: 6:44:25 time: 0.2294 data_time: 0.0202 memory: 6108 grad_norm: 8.4465 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3902 loss: 1.3902 2022/07/23 09:35:32 - mmengine - INFO - Epoch(train) [73][3260/3757] lr: 1.0000e-03 eta: 6:44:21 time: 0.2373 data_time: 0.0233 memory: 6108 grad_norm: 8.2032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3180 loss: 1.3180 2022/07/23 09:35:36 - mmengine - INFO - Epoch(train) [73][3280/3757] lr: 1.0000e-03 eta: 6:44:16 time: 0.2291 data_time: 0.0211 memory: 6108 grad_norm: 8.5074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4117 loss: 1.4117 2022/07/23 09:35:41 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 1.0000e-03 eta: 6:44:11 time: 0.2321 data_time: 0.0217 memory: 6108 grad_norm: 8.0858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/07/23 09:35:46 - mmengine - INFO - Epoch(train) [73][3320/3757] lr: 1.0000e-03 eta: 6:44:06 time: 0.2258 data_time: 0.0190 memory: 6108 grad_norm: 8.5020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1967 loss: 1.1967 2022/07/23 09:35:50 - mmengine - INFO - Epoch(train) [73][3340/3757] lr: 1.0000e-03 eta: 6:44:01 time: 0.2331 data_time: 0.0219 memory: 6108 grad_norm: 8.3205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3987 loss: 1.3987 2022/07/23 09:35:55 - mmengine - INFO - Epoch(train) [73][3360/3757] lr: 1.0000e-03 eta: 6:43:57 time: 0.2476 data_time: 0.0306 memory: 6108 grad_norm: 8.5343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5279 loss: 1.5279 2022/07/23 09:36:00 - mmengine - INFO - Epoch(train) [73][3380/3757] lr: 1.0000e-03 eta: 6:43:52 time: 0.2277 data_time: 0.0247 memory: 6108 grad_norm: 8.8021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5935 loss: 1.5935 2022/07/23 09:36:05 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 1.0000e-03 eta: 6:43:47 time: 0.2335 data_time: 0.0191 memory: 6108 grad_norm: 8.3718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3919 loss: 1.3919 2022/07/23 09:36:09 - mmengine - INFO - Epoch(train) [73][3420/3757] lr: 1.0000e-03 eta: 6:43:42 time: 0.2315 data_time: 0.0260 memory: 6108 grad_norm: 8.5928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1925 loss: 1.1925 2022/07/23 09:36:14 - mmengine - INFO - Epoch(train) [73][3440/3757] lr: 1.0000e-03 eta: 6:43:37 time: 0.2376 data_time: 0.0228 memory: 6108 grad_norm: 8.3538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1640 loss: 1.1640 2022/07/23 09:36:19 - mmengine - INFO - Epoch(train) [73][3460/3757] lr: 1.0000e-03 eta: 6:43:33 time: 0.2282 data_time: 0.0215 memory: 6108 grad_norm: 8.0705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4975 loss: 1.4975 2022/07/23 09:36:23 - mmengine - INFO - Epoch(train) [73][3480/3757] lr: 1.0000e-03 eta: 6:43:28 time: 0.2373 data_time: 0.0306 memory: 6108 grad_norm: 8.4774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4376 loss: 1.4376 2022/07/23 09:36:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:36:28 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 1.0000e-03 eta: 6:43:23 time: 0.2312 data_time: 0.0258 memory: 6108 grad_norm: 8.6086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/07/23 09:36:33 - mmengine - INFO - Epoch(train) [73][3520/3757] lr: 1.0000e-03 eta: 6:43:18 time: 0.2323 data_time: 0.0259 memory: 6108 grad_norm: 8.6131 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4458 loss: 1.4458 2022/07/23 09:36:37 - mmengine - INFO - Epoch(train) [73][3540/3757] lr: 1.0000e-03 eta: 6:43:13 time: 0.2333 data_time: 0.0250 memory: 6108 grad_norm: 8.2756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/07/23 09:36:42 - mmengine - INFO - Epoch(train) [73][3560/3757] lr: 1.0000e-03 eta: 6:43:09 time: 0.2482 data_time: 0.0193 memory: 6108 grad_norm: 8.1790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/07/23 09:36:47 - mmengine - INFO - Epoch(train) [73][3580/3757] lr: 1.0000e-03 eta: 6:43:04 time: 0.2283 data_time: 0.0246 memory: 6108 grad_norm: 8.5980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3382 loss: 1.3382 2022/07/23 09:36:51 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 1.0000e-03 eta: 6:42:59 time: 0.2293 data_time: 0.0216 memory: 6108 grad_norm: 8.5813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3456 loss: 1.3456 2022/07/23 09:36:56 - mmengine - INFO - Epoch(train) [73][3620/3757] lr: 1.0000e-03 eta: 6:42:54 time: 0.2387 data_time: 0.0236 memory: 6108 grad_norm: 8.0675 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2001 loss: 1.2001 2022/07/23 09:37:01 - mmengine - INFO - Epoch(train) [73][3640/3757] lr: 1.0000e-03 eta: 6:42:49 time: 0.2328 data_time: 0.0188 memory: 6108 grad_norm: 8.4771 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/07/23 09:37:06 - mmengine - INFO - Epoch(train) [73][3660/3757] lr: 1.0000e-03 eta: 6:42:45 time: 0.2330 data_time: 0.0291 memory: 6108 grad_norm: 8.1041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2710 loss: 1.2710 2022/07/23 09:37:10 - mmengine - INFO - Epoch(train) [73][3680/3757] lr: 1.0000e-03 eta: 6:42:40 time: 0.2249 data_time: 0.0216 memory: 6108 grad_norm: 8.8361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5080 loss: 1.5080 2022/07/23 09:37:15 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 1.0000e-03 eta: 6:42:35 time: 0.2280 data_time: 0.0209 memory: 6108 grad_norm: 8.4202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/07/23 09:37:19 - mmengine - INFO - Epoch(train) [73][3720/3757] lr: 1.0000e-03 eta: 6:42:30 time: 0.2329 data_time: 0.0271 memory: 6108 grad_norm: 8.7889 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3367 loss: 1.3367 2022/07/23 09:37:24 - mmengine - INFO - Epoch(train) [73][3740/3757] lr: 1.0000e-03 eta: 6:42:25 time: 0.2394 data_time: 0.0241 memory: 6108 grad_norm: 8.2639 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/07/23 09:37:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:37:27 - mmengine - INFO - Epoch(train) [73][3757/3757] lr: 1.0000e-03 eta: 6:42:25 time: 0.1951 data_time: 0.0148 memory: 6108 grad_norm: 8.6619 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/07/23 09:37:33 - mmengine - INFO - Epoch(val) [73][20/310] eta: 0:01:21 time: 0.2824 data_time: 0.1991 memory: 1428 2022/07/23 09:37:37 - mmengine - INFO - Epoch(val) [73][40/310] eta: 0:00:51 time: 0.1893 data_time: 0.1119 memory: 1428 2022/07/23 09:37:41 - mmengine - INFO - Epoch(val) [73][60/310] eta: 0:00:53 time: 0.2144 data_time: 0.1391 memory: 1428 2022/07/23 09:37:45 - mmengine - INFO - Epoch(val) [73][80/310] eta: 0:00:47 time: 0.2067 data_time: 0.1289 memory: 1428 2022/07/23 09:37:50 - mmengine - INFO - Epoch(val) [73][100/310] eta: 0:00:46 time: 0.2222 data_time: 0.1477 memory: 1428 2022/07/23 09:37:53 - mmengine - INFO - Epoch(val) [73][120/310] eta: 0:00:33 time: 0.1788 data_time: 0.1016 memory: 1428 2022/07/23 09:37:59 - mmengine - INFO - Epoch(val) [73][140/310] eta: 0:00:46 time: 0.2729 data_time: 0.1964 memory: 1428 2022/07/23 09:38:02 - mmengine - INFO - Epoch(val) [73][160/310] eta: 0:00:26 time: 0.1787 data_time: 0.1058 memory: 1428 2022/07/23 09:38:07 - mmengine - INFO - Epoch(val) [73][180/310] eta: 0:00:31 time: 0.2419 data_time: 0.1647 memory: 1428 2022/07/23 09:38:11 - mmengine - INFO - Epoch(val) [73][200/310] eta: 0:00:19 time: 0.1756 data_time: 0.0954 memory: 1428 2022/07/23 09:38:15 - mmengine - INFO - Epoch(val) [73][220/310] eta: 0:00:19 time: 0.2208 data_time: 0.1486 memory: 1428 2022/07/23 09:38:19 - mmengine - INFO - Epoch(val) [73][240/310] eta: 0:00:13 time: 0.1864 data_time: 0.1086 memory: 1428 2022/07/23 09:38:24 - mmengine - INFO - Epoch(val) [73][260/310] eta: 0:00:11 time: 0.2395 data_time: 0.1576 memory: 1428 2022/07/23 09:38:28 - mmengine - INFO - Epoch(val) [73][280/310] eta: 0:00:05 time: 0.1898 data_time: 0.1130 memory: 1428 2022/07/23 09:38:32 - mmengine - INFO - Epoch(val) [73][300/310] eta: 0:00:02 time: 0.2131 data_time: 0.1395 memory: 1428 2022/07/23 09:38:36 - mmengine - INFO - Epoch(val) [73][310/310] acc/top1: 0.6507 acc/top5: 0.8573 acc/mean1: 0.6506 2022/07/23 09:38:43 - mmengine - INFO - Epoch(train) [74][20/3757] lr: 1.0000e-03 eta: 6:42:16 time: 0.3574 data_time: 0.1437 memory: 6108 grad_norm: 8.1965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3938 loss: 1.3938 2022/07/23 09:38:48 - mmengine - INFO - Epoch(train) [74][40/3757] lr: 1.0000e-03 eta: 6:42:11 time: 0.2290 data_time: 0.0182 memory: 6108 grad_norm: 8.0219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/07/23 09:38:52 - mmengine - INFO - Epoch(train) [74][60/3757] lr: 1.0000e-03 eta: 6:42:06 time: 0.2306 data_time: 0.0234 memory: 6108 grad_norm: 8.3228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/07/23 09:38:57 - mmengine - INFO - Epoch(train) [74][80/3757] lr: 1.0000e-03 eta: 6:42:02 time: 0.2257 data_time: 0.0217 memory: 6108 grad_norm: 8.2459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1390 loss: 1.1390 2022/07/23 09:39:01 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 1.0000e-03 eta: 6:41:57 time: 0.2340 data_time: 0.0185 memory: 6108 grad_norm: 8.6053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/07/23 09:39:06 - mmengine - INFO - Epoch(train) [74][120/3757] lr: 1.0000e-03 eta: 6:41:52 time: 0.2383 data_time: 0.0246 memory: 6108 grad_norm: 8.4055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3102 loss: 1.3102 2022/07/23 09:39:11 - mmengine - INFO - Epoch(train) [74][140/3757] lr: 1.0000e-03 eta: 6:41:47 time: 0.2453 data_time: 0.0208 memory: 6108 grad_norm: 8.6031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3419 loss: 1.3419 2022/07/23 09:39:16 - mmengine - INFO - Epoch(train) [74][160/3757] lr: 1.0000e-03 eta: 6:41:42 time: 0.2237 data_time: 0.0203 memory: 6108 grad_norm: 8.5114 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4932 loss: 1.4932 2022/07/23 09:39:21 - mmengine - INFO - Epoch(train) [74][180/3757] lr: 1.0000e-03 eta: 6:41:38 time: 0.2481 data_time: 0.0252 memory: 6108 grad_norm: 8.3571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5325 loss: 1.5325 2022/07/23 09:39:25 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 1.0000e-03 eta: 6:41:33 time: 0.2289 data_time: 0.0206 memory: 6108 grad_norm: 8.2751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2809 loss: 1.2809 2022/07/23 09:39:30 - mmengine - INFO - Epoch(train) [74][220/3757] lr: 1.0000e-03 eta: 6:41:28 time: 0.2319 data_time: 0.0196 memory: 6108 grad_norm: 8.4848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5845 loss: 1.5845 2022/07/23 09:39:35 - mmengine - INFO - Epoch(train) [74][240/3757] lr: 1.0000e-03 eta: 6:41:23 time: 0.2292 data_time: 0.0280 memory: 6108 grad_norm: 8.0212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8646 loss: 0.8646 2022/07/23 09:39:39 - mmengine - INFO - Epoch(train) [74][260/3757] lr: 1.0000e-03 eta: 6:41:18 time: 0.2283 data_time: 0.0177 memory: 6108 grad_norm: 8.5086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3048 loss: 1.3048 2022/07/23 09:39:44 - mmengine - INFO - Epoch(train) [74][280/3757] lr: 1.0000e-03 eta: 6:41:14 time: 0.2516 data_time: 0.0231 memory: 6108 grad_norm: 8.5303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/07/23 09:39:49 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 1.0000e-03 eta: 6:41:09 time: 0.2414 data_time: 0.0375 memory: 6108 grad_norm: 8.4575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/07/23 09:39:54 - mmengine - INFO - Epoch(train) [74][320/3757] lr: 1.0000e-03 eta: 6:41:04 time: 0.2303 data_time: 0.0226 memory: 6108 grad_norm: 8.1808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/07/23 09:39:58 - mmengine - INFO - Epoch(train) [74][340/3757] lr: 1.0000e-03 eta: 6:40:59 time: 0.2328 data_time: 0.0181 memory: 6108 grad_norm: 8.1969 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5066 loss: 1.5066 2022/07/23 09:40:03 - mmengine - INFO - Epoch(train) [74][360/3757] lr: 1.0000e-03 eta: 6:40:55 time: 0.2474 data_time: 0.0201 memory: 6108 grad_norm: 8.3737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3709 loss: 1.3709 2022/07/23 09:40:08 - mmengine - INFO - Epoch(train) [74][380/3757] lr: 1.0000e-03 eta: 6:40:50 time: 0.2326 data_time: 0.0231 memory: 6108 grad_norm: 8.6745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4316 loss: 1.4316 2022/07/23 09:40:13 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 1.0000e-03 eta: 6:40:45 time: 0.2315 data_time: 0.0283 memory: 6108 grad_norm: 8.2540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/07/23 09:40:17 - mmengine - INFO - Epoch(train) [74][420/3757] lr: 1.0000e-03 eta: 6:40:40 time: 0.2311 data_time: 0.0253 memory: 6108 grad_norm: 8.6984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2529 loss: 1.2529 2022/07/23 09:40:22 - mmengine - INFO - Epoch(train) [74][440/3757] lr: 1.0000e-03 eta: 6:40:36 time: 0.2365 data_time: 0.0239 memory: 6108 grad_norm: 8.6809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/07/23 09:40:27 - mmengine - INFO - Epoch(train) [74][460/3757] lr: 1.0000e-03 eta: 6:40:31 time: 0.2255 data_time: 0.0183 memory: 6108 grad_norm: 8.5291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1846 loss: 1.1846 2022/07/23 09:40:31 - mmengine - INFO - Epoch(train) [74][480/3757] lr: 1.0000e-03 eta: 6:40:26 time: 0.2314 data_time: 0.0220 memory: 6108 grad_norm: 8.2518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/07/23 09:40:36 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 1.0000e-03 eta: 6:40:21 time: 0.2272 data_time: 0.0231 memory: 6108 grad_norm: 8.6331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/07/23 09:40:40 - mmengine - INFO - Epoch(train) [74][520/3757] lr: 1.0000e-03 eta: 6:40:16 time: 0.2295 data_time: 0.0239 memory: 6108 grad_norm: 8.2042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/07/23 09:40:45 - mmengine - INFO - Epoch(train) [74][540/3757] lr: 1.0000e-03 eta: 6:40:12 time: 0.2408 data_time: 0.0201 memory: 6108 grad_norm: 8.3822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/07/23 09:40:50 - mmengine - INFO - Epoch(train) [74][560/3757] lr: 1.0000e-03 eta: 6:40:07 time: 0.2323 data_time: 0.0201 memory: 6108 grad_norm: 8.3871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/07/23 09:40:55 - mmengine - INFO - Epoch(train) [74][580/3757] lr: 1.0000e-03 eta: 6:40:02 time: 0.2342 data_time: 0.0256 memory: 6108 grad_norm: 8.2020 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1521 loss: 1.1521 2022/07/23 09:40:59 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 1.0000e-03 eta: 6:39:57 time: 0.2292 data_time: 0.0255 memory: 6108 grad_norm: 8.1255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1741 loss: 1.1741 2022/07/23 09:41:04 - mmengine - INFO - Epoch(train) [74][620/3757] lr: 1.0000e-03 eta: 6:39:52 time: 0.2385 data_time: 0.0229 memory: 6108 grad_norm: 8.4638 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3411 loss: 1.3411 2022/07/23 09:41:09 - mmengine - INFO - Epoch(train) [74][640/3757] lr: 1.0000e-03 eta: 6:39:48 time: 0.2318 data_time: 0.0248 memory: 6108 grad_norm: 8.6310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/07/23 09:41:13 - mmengine - INFO - Epoch(train) [74][660/3757] lr: 1.0000e-03 eta: 6:39:43 time: 0.2291 data_time: 0.0222 memory: 6108 grad_norm: 8.3990 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5833 loss: 1.5833 2022/07/23 09:41:18 - mmengine - INFO - Epoch(train) [74][680/3757] lr: 1.0000e-03 eta: 6:39:38 time: 0.2258 data_time: 0.0211 memory: 6108 grad_norm: 8.1735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/07/23 09:41:23 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 1.0000e-03 eta: 6:39:33 time: 0.2483 data_time: 0.0189 memory: 6108 grad_norm: 8.0094 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/23 09:41:28 - mmengine - INFO - Epoch(train) [74][720/3757] lr: 1.0000e-03 eta: 6:39:28 time: 0.2289 data_time: 0.0261 memory: 6108 grad_norm: 8.2406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/07/23 09:41:32 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:41:32 - mmengine - INFO - Epoch(train) [74][740/3757] lr: 1.0000e-03 eta: 6:39:24 time: 0.2291 data_time: 0.0216 memory: 6108 grad_norm: 8.1306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0593 loss: 1.0593 2022/07/23 09:41:37 - mmengine - INFO - Epoch(train) [74][760/3757] lr: 1.0000e-03 eta: 6:39:19 time: 0.2307 data_time: 0.0199 memory: 6108 grad_norm: 8.2013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2493 loss: 1.2493 2022/07/23 09:41:42 - mmengine - INFO - Epoch(train) [74][780/3757] lr: 1.0000e-03 eta: 6:39:14 time: 0.2612 data_time: 0.0329 memory: 6108 grad_norm: 8.3456 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3098 loss: 1.3098 2022/07/23 09:41:47 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 1.0000e-03 eta: 6:39:09 time: 0.2252 data_time: 0.0206 memory: 6108 grad_norm: 8.7811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2869 loss: 1.2869 2022/07/23 09:41:51 - mmengine - INFO - Epoch(train) [74][820/3757] lr: 1.0000e-03 eta: 6:39:04 time: 0.2276 data_time: 0.0223 memory: 6108 grad_norm: 8.6532 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4525 loss: 1.4525 2022/07/23 09:41:56 - mmengine - INFO - Epoch(train) [74][840/3757] lr: 1.0000e-03 eta: 6:39:00 time: 0.2325 data_time: 0.0245 memory: 6108 grad_norm: 8.3764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3053 loss: 1.3053 2022/07/23 09:42:00 - mmengine - INFO - Epoch(train) [74][860/3757] lr: 1.0000e-03 eta: 6:38:55 time: 0.2328 data_time: 0.0219 memory: 6108 grad_norm: 8.2007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0865 loss: 1.0865 2022/07/23 09:42:05 - mmengine - INFO - Epoch(train) [74][880/3757] lr: 1.0000e-03 eta: 6:38:50 time: 0.2371 data_time: 0.0282 memory: 6108 grad_norm: 8.4609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/07/23 09:42:10 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 1.0000e-03 eta: 6:38:45 time: 0.2314 data_time: 0.0258 memory: 6108 grad_norm: 8.3377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1931 loss: 1.1931 2022/07/23 09:42:15 - mmengine - INFO - Epoch(train) [74][920/3757] lr: 1.0000e-03 eta: 6:38:40 time: 0.2345 data_time: 0.0179 memory: 6108 grad_norm: 8.2141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2157 loss: 1.2157 2022/07/23 09:42:19 - mmengine - INFO - Epoch(train) [74][940/3757] lr: 1.0000e-03 eta: 6:38:36 time: 0.2321 data_time: 0.0204 memory: 6108 grad_norm: 8.2181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/07/23 09:42:24 - mmengine - INFO - Epoch(train) [74][960/3757] lr: 1.0000e-03 eta: 6:38:31 time: 0.2380 data_time: 0.0225 memory: 6108 grad_norm: 8.3985 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5379 loss: 1.5379 2022/07/23 09:42:29 - mmengine - INFO - Epoch(train) [74][980/3757] lr: 1.0000e-03 eta: 6:38:26 time: 0.2291 data_time: 0.0255 memory: 6108 grad_norm: 8.2123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/07/23 09:42:33 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 1.0000e-03 eta: 6:38:21 time: 0.2288 data_time: 0.0242 memory: 6108 grad_norm: 8.4153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/07/23 09:42:38 - mmengine - INFO - Epoch(train) [74][1020/3757] lr: 1.0000e-03 eta: 6:38:16 time: 0.2282 data_time: 0.0227 memory: 6108 grad_norm: 8.3785 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/07/23 09:42:43 - mmengine - INFO - Epoch(train) [74][1040/3757] lr: 1.0000e-03 eta: 6:38:12 time: 0.2496 data_time: 0.0165 memory: 6108 grad_norm: 8.4188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2830 loss: 1.2830 2022/07/23 09:42:47 - mmengine - INFO - Epoch(train) [74][1060/3757] lr: 1.0000e-03 eta: 6:38:07 time: 0.2278 data_time: 0.0198 memory: 6108 grad_norm: 8.6074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4968 loss: 1.4968 2022/07/23 09:42:52 - mmengine - INFO - Epoch(train) [74][1080/3757] lr: 1.0000e-03 eta: 6:38:02 time: 0.2334 data_time: 0.0218 memory: 6108 grad_norm: 8.3151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4257 loss: 1.4257 2022/07/23 09:42:57 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 1.0000e-03 eta: 6:37:57 time: 0.2315 data_time: 0.0263 memory: 6108 grad_norm: 8.3452 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/07/23 09:43:02 - mmengine - INFO - Epoch(train) [74][1120/3757] lr: 1.0000e-03 eta: 6:37:53 time: 0.2387 data_time: 0.0211 memory: 6108 grad_norm: 8.3785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4206 loss: 1.4206 2022/07/23 09:43:06 - mmengine - INFO - Epoch(train) [74][1140/3757] lr: 1.0000e-03 eta: 6:37:48 time: 0.2321 data_time: 0.0284 memory: 6108 grad_norm: 8.3828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/07/23 09:43:11 - mmengine - INFO - Epoch(train) [74][1160/3757] lr: 1.0000e-03 eta: 6:37:43 time: 0.2270 data_time: 0.0206 memory: 6108 grad_norm: 7.9733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2279 loss: 1.2279 2022/07/23 09:43:16 - mmengine - INFO - Epoch(train) [74][1180/3757] lr: 1.0000e-03 eta: 6:37:38 time: 0.2343 data_time: 0.0211 memory: 6108 grad_norm: 8.3185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/07/23 09:43:20 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 1.0000e-03 eta: 6:37:33 time: 0.2307 data_time: 0.0214 memory: 6108 grad_norm: 8.5281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2032 loss: 1.2032 2022/07/23 09:43:25 - mmengine - INFO - Epoch(train) [74][1220/3757] lr: 1.0000e-03 eta: 6:37:29 time: 0.2475 data_time: 0.0238 memory: 6108 grad_norm: 8.4579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2554 loss: 1.2554 2022/07/23 09:43:30 - mmengine - INFO - Epoch(train) [74][1240/3757] lr: 1.0000e-03 eta: 6:37:24 time: 0.2306 data_time: 0.0190 memory: 6108 grad_norm: 8.3456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2050 loss: 1.2050 2022/07/23 09:43:35 - mmengine - INFO - Epoch(train) [74][1260/3757] lr: 1.0000e-03 eta: 6:37:19 time: 0.2359 data_time: 0.0269 memory: 6108 grad_norm: 8.2412 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/07/23 09:43:39 - mmengine - INFO - Epoch(train) [74][1280/3757] lr: 1.0000e-03 eta: 6:37:14 time: 0.2338 data_time: 0.0190 memory: 6108 grad_norm: 8.0901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3972 loss: 1.3972 2022/07/23 09:43:44 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 1.0000e-03 eta: 6:37:10 time: 0.2423 data_time: 0.0213 memory: 6108 grad_norm: 8.7340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2765 loss: 1.2765 2022/07/23 09:43:49 - mmengine - INFO - Epoch(train) [74][1320/3757] lr: 1.0000e-03 eta: 6:37:05 time: 0.2352 data_time: 0.0342 memory: 6108 grad_norm: 8.5391 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2355 loss: 1.2355 2022/07/23 09:43:53 - mmengine - INFO - Epoch(train) [74][1340/3757] lr: 1.0000e-03 eta: 6:37:00 time: 0.2250 data_time: 0.0229 memory: 6108 grad_norm: 8.6161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3612 loss: 1.3612 2022/07/23 09:43:58 - mmengine - INFO - Epoch(train) [74][1360/3757] lr: 1.0000e-03 eta: 6:36:55 time: 0.2316 data_time: 0.0214 memory: 6108 grad_norm: 8.1695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2470 loss: 1.2470 2022/07/23 09:44:03 - mmengine - INFO - Epoch(train) [74][1380/3757] lr: 1.0000e-03 eta: 6:36:50 time: 0.2436 data_time: 0.0250 memory: 6108 grad_norm: 8.2772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3746 loss: 1.3746 2022/07/23 09:44:07 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 1.0000e-03 eta: 6:36:46 time: 0.2263 data_time: 0.0194 memory: 6108 grad_norm: 8.2954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2772 loss: 1.2772 2022/07/23 09:44:12 - mmengine - INFO - Epoch(train) [74][1420/3757] lr: 1.0000e-03 eta: 6:36:41 time: 0.2307 data_time: 0.0175 memory: 6108 grad_norm: 8.3565 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4089 loss: 1.4089 2022/07/23 09:44:17 - mmengine - INFO - Epoch(train) [74][1440/3757] lr: 1.0000e-03 eta: 6:36:36 time: 0.2281 data_time: 0.0239 memory: 6108 grad_norm: 8.7811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7627 loss: 1.7627 2022/07/23 09:44:21 - mmengine - INFO - Epoch(train) [74][1460/3757] lr: 1.0000e-03 eta: 6:36:31 time: 0.2368 data_time: 0.0205 memory: 6108 grad_norm: 8.3038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4998 loss: 1.4998 2022/07/23 09:44:26 - mmengine - INFO - Epoch(train) [74][1480/3757] lr: 1.0000e-03 eta: 6:36:26 time: 0.2258 data_time: 0.0217 memory: 6108 grad_norm: 8.4311 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5656 loss: 1.5656 2022/07/23 09:44:31 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 1.0000e-03 eta: 6:36:22 time: 0.2342 data_time: 0.0264 memory: 6108 grad_norm: 8.4378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1202 loss: 1.1202 2022/07/23 09:44:35 - mmengine - INFO - Epoch(train) [74][1520/3757] lr: 1.0000e-03 eta: 6:36:17 time: 0.2326 data_time: 0.0195 memory: 6108 grad_norm: 8.7334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/07/23 09:44:40 - mmengine - INFO - Epoch(train) [74][1540/3757] lr: 1.0000e-03 eta: 6:36:12 time: 0.2292 data_time: 0.0177 memory: 6108 grad_norm: 7.9095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/07/23 09:44:45 - mmengine - INFO - Epoch(train) [74][1560/3757] lr: 1.0000e-03 eta: 6:36:07 time: 0.2429 data_time: 0.0294 memory: 6108 grad_norm: 8.6914 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1799 loss: 1.1799 2022/07/23 09:44:50 - mmengine - INFO - Epoch(train) [74][1580/3757] lr: 1.0000e-03 eta: 6:36:02 time: 0.2314 data_time: 0.0191 memory: 6108 grad_norm: 8.3041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4183 loss: 1.4183 2022/07/23 09:44:54 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 1.0000e-03 eta: 6:35:57 time: 0.2243 data_time: 0.0197 memory: 6108 grad_norm: 8.6001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1935 loss: 1.1935 2022/07/23 09:44:59 - mmengine - INFO - Epoch(train) [74][1620/3757] lr: 1.0000e-03 eta: 6:35:53 time: 0.2313 data_time: 0.0253 memory: 6108 grad_norm: 8.6032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1953 loss: 1.1953 2022/07/23 09:45:04 - mmengine - INFO - Epoch(train) [74][1640/3757] lr: 1.0000e-03 eta: 6:35:48 time: 0.2396 data_time: 0.0217 memory: 6108 grad_norm: 8.2421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2986 loss: 1.2986 2022/07/23 09:45:08 - mmengine - INFO - Epoch(train) [74][1660/3757] lr: 1.0000e-03 eta: 6:35:43 time: 0.2301 data_time: 0.0203 memory: 6108 grad_norm: 8.3823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/23 09:45:13 - mmengine - INFO - Epoch(train) [74][1680/3757] lr: 1.0000e-03 eta: 6:35:38 time: 0.2330 data_time: 0.0284 memory: 6108 grad_norm: 8.1351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/07/23 09:45:18 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 1.0000e-03 eta: 6:35:34 time: 0.2345 data_time: 0.0205 memory: 6108 grad_norm: 8.2495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/07/23 09:45:22 - mmengine - INFO - Epoch(train) [74][1720/3757] lr: 1.0000e-03 eta: 6:35:29 time: 0.2408 data_time: 0.0306 memory: 6108 grad_norm: 8.2063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/07/23 09:45:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:45:27 - mmengine - INFO - Epoch(train) [74][1740/3757] lr: 1.0000e-03 eta: 6:35:24 time: 0.2239 data_time: 0.0228 memory: 6108 grad_norm: 8.3838 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2431 loss: 1.2431 2022/07/23 09:45:32 - mmengine - INFO - Epoch(train) [74][1760/3757] lr: 1.0000e-03 eta: 6:35:19 time: 0.2299 data_time: 0.0202 memory: 6108 grad_norm: 8.0453 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9827 loss: 0.9827 2022/07/23 09:45:36 - mmengine - INFO - Epoch(train) [74][1780/3757] lr: 1.0000e-03 eta: 6:35:14 time: 0.2323 data_time: 0.0264 memory: 6108 grad_norm: 8.1914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2686 loss: 1.2686 2022/07/23 09:45:41 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 1.0000e-03 eta: 6:35:10 time: 0.2337 data_time: 0.0371 memory: 6108 grad_norm: 8.0872 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1826 loss: 1.1826 2022/07/23 09:45:46 - mmengine - INFO - Epoch(train) [74][1820/3757] lr: 1.0000e-03 eta: 6:35:05 time: 0.2462 data_time: 0.0173 memory: 6108 grad_norm: 8.3554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3443 loss: 1.3443 2022/07/23 09:45:51 - mmengine - INFO - Epoch(train) [74][1840/3757] lr: 1.0000e-03 eta: 6:35:00 time: 0.2317 data_time: 0.0195 memory: 6108 grad_norm: 8.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1033 loss: 1.1033 2022/07/23 09:45:55 - mmengine - INFO - Epoch(train) [74][1860/3757] lr: 1.0000e-03 eta: 6:34:55 time: 0.2290 data_time: 0.0314 memory: 6108 grad_norm: 8.4802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3144 loss: 1.3144 2022/07/23 09:46:00 - mmengine - INFO - Epoch(train) [74][1880/3757] lr: 1.0000e-03 eta: 6:34:50 time: 0.2300 data_time: 0.0211 memory: 6108 grad_norm: 8.2563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/07/23 09:46:05 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 1.0000e-03 eta: 6:34:46 time: 0.2471 data_time: 0.0176 memory: 6108 grad_norm: 8.4301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2208 loss: 1.2208 2022/07/23 09:46:09 - mmengine - INFO - Epoch(train) [74][1920/3757] lr: 1.0000e-03 eta: 6:34:41 time: 0.2288 data_time: 0.0271 memory: 6108 grad_norm: 8.5207 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3709 loss: 1.3709 2022/07/23 09:46:14 - mmengine - INFO - Epoch(train) [74][1940/3757] lr: 1.0000e-03 eta: 6:34:36 time: 0.2274 data_time: 0.0180 memory: 6108 grad_norm: 8.2313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3584 loss: 1.3584 2022/07/23 09:46:19 - mmengine - INFO - Epoch(train) [74][1960/3757] lr: 1.0000e-03 eta: 6:34:31 time: 0.2310 data_time: 0.0259 memory: 6108 grad_norm: 8.5953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4779 loss: 1.4779 2022/07/23 09:46:24 - mmengine - INFO - Epoch(train) [74][1980/3757] lr: 1.0000e-03 eta: 6:34:27 time: 0.2568 data_time: 0.0208 memory: 6108 grad_norm: 8.2979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2638 loss: 1.2638 2022/07/23 09:46:28 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 1.0000e-03 eta: 6:34:22 time: 0.2246 data_time: 0.0206 memory: 6108 grad_norm: 8.2466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3959 loss: 1.3959 2022/07/23 09:46:33 - mmengine - INFO - Epoch(train) [74][2020/3757] lr: 1.0000e-03 eta: 6:34:17 time: 0.2319 data_time: 0.0197 memory: 6108 grad_norm: 8.6651 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2833 loss: 1.2833 2022/07/23 09:46:38 - mmengine - INFO - Epoch(train) [74][2040/3757] lr: 1.0000e-03 eta: 6:34:12 time: 0.2328 data_time: 0.0239 memory: 6108 grad_norm: 8.2707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3806 loss: 1.3806 2022/07/23 09:46:42 - mmengine - INFO - Epoch(train) [74][2060/3757] lr: 1.0000e-03 eta: 6:34:07 time: 0.2332 data_time: 0.0239 memory: 6108 grad_norm: 8.4117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/07/23 09:46:47 - mmengine - INFO - Epoch(train) [74][2080/3757] lr: 1.0000e-03 eta: 6:34:03 time: 0.2308 data_time: 0.0237 memory: 6108 grad_norm: 8.3840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3283 loss: 1.3283 2022/07/23 09:46:52 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 1.0000e-03 eta: 6:33:58 time: 0.2352 data_time: 0.0249 memory: 6108 grad_norm: 8.3130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4662 loss: 1.4662 2022/07/23 09:46:56 - mmengine - INFO - Epoch(train) [74][2120/3757] lr: 1.0000e-03 eta: 6:33:53 time: 0.2348 data_time: 0.0205 memory: 6108 grad_norm: 8.3222 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.1422 loss: 1.1422 2022/07/23 09:47:01 - mmengine - INFO - Epoch(train) [74][2140/3757] lr: 1.0000e-03 eta: 6:33:48 time: 0.2294 data_time: 0.0204 memory: 6108 grad_norm: 8.1591 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5271 loss: 1.5271 2022/07/23 09:47:06 - mmengine - INFO - Epoch(train) [74][2160/3757] lr: 1.0000e-03 eta: 6:33:43 time: 0.2343 data_time: 0.0232 memory: 6108 grad_norm: 8.3969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/07/23 09:47:10 - mmengine - INFO - Epoch(train) [74][2180/3757] lr: 1.0000e-03 eta: 6:33:39 time: 0.2291 data_time: 0.0231 memory: 6108 grad_norm: 8.1454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3718 loss: 1.3718 2022/07/23 09:47:15 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 1.0000e-03 eta: 6:33:34 time: 0.2400 data_time: 0.0271 memory: 6108 grad_norm: 8.4855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2284 loss: 1.2284 2022/07/23 09:47:20 - mmengine - INFO - Epoch(train) [74][2220/3757] lr: 1.0000e-03 eta: 6:33:29 time: 0.2292 data_time: 0.0213 memory: 6108 grad_norm: 8.3432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/23 09:47:25 - mmengine - INFO - Epoch(train) [74][2240/3757] lr: 1.0000e-03 eta: 6:33:24 time: 0.2381 data_time: 0.0226 memory: 6108 grad_norm: 8.4169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/23 09:47:29 - mmengine - INFO - Epoch(train) [74][2260/3757] lr: 1.0000e-03 eta: 6:33:19 time: 0.2247 data_time: 0.0215 memory: 6108 grad_norm: 8.4562 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1557 loss: 1.1557 2022/07/23 09:47:34 - mmengine - INFO - Epoch(train) [74][2280/3757] lr: 1.0000e-03 eta: 6:33:15 time: 0.2340 data_time: 0.0251 memory: 6108 grad_norm: 8.1856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/07/23 09:47:38 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 1.0000e-03 eta: 6:33:10 time: 0.2356 data_time: 0.0221 memory: 6108 grad_norm: 8.4587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/07/23 09:47:43 - mmengine - INFO - Epoch(train) [74][2320/3757] lr: 1.0000e-03 eta: 6:33:05 time: 0.2322 data_time: 0.0204 memory: 6108 grad_norm: 8.5561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/07/23 09:47:48 - mmengine - INFO - Epoch(train) [74][2340/3757] lr: 1.0000e-03 eta: 6:33:00 time: 0.2287 data_time: 0.0241 memory: 6108 grad_norm: 7.9001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0563 loss: 1.0563 2022/07/23 09:47:52 - mmengine - INFO - Epoch(train) [74][2360/3757] lr: 1.0000e-03 eta: 6:32:55 time: 0.2330 data_time: 0.0241 memory: 6108 grad_norm: 8.2185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/07/23 09:47:57 - mmengine - INFO - Epoch(train) [74][2380/3757] lr: 1.0000e-03 eta: 6:32:51 time: 0.2321 data_time: 0.0252 memory: 6108 grad_norm: 8.5178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3826 loss: 1.3826 2022/07/23 09:48:02 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 1.0000e-03 eta: 6:32:46 time: 0.2337 data_time: 0.0245 memory: 6108 grad_norm: 8.3812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2742 loss: 1.2742 2022/07/23 09:48:07 - mmengine - INFO - Epoch(train) [74][2420/3757] lr: 1.0000e-03 eta: 6:32:41 time: 0.2365 data_time: 0.0186 memory: 6108 grad_norm: 8.1768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2856 loss: 1.2856 2022/07/23 09:48:11 - mmengine - INFO - Epoch(train) [74][2440/3757] lr: 1.0000e-03 eta: 6:32:36 time: 0.2379 data_time: 0.0182 memory: 6108 grad_norm: 8.7538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5566 loss: 1.5566 2022/07/23 09:48:16 - mmengine - INFO - Epoch(train) [74][2460/3757] lr: 1.0000e-03 eta: 6:32:31 time: 0.2292 data_time: 0.0263 memory: 6108 grad_norm: 8.2872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5202 loss: 1.5202 2022/07/23 09:48:21 - mmengine - INFO - Epoch(train) [74][2480/3757] lr: 1.0000e-03 eta: 6:32:27 time: 0.2331 data_time: 0.0227 memory: 6108 grad_norm: 8.5167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2210 loss: 1.2210 2022/07/23 09:48:25 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 1.0000e-03 eta: 6:32:22 time: 0.2387 data_time: 0.0180 memory: 6108 grad_norm: 8.4511 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5471 loss: 1.5471 2022/07/23 09:48:30 - mmengine - INFO - Epoch(train) [74][2520/3757] lr: 1.0000e-03 eta: 6:32:17 time: 0.2314 data_time: 0.0268 memory: 6108 grad_norm: 8.2058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/07/23 09:48:35 - mmengine - INFO - Epoch(train) [74][2540/3757] lr: 1.0000e-03 eta: 6:32:12 time: 0.2347 data_time: 0.0187 memory: 6108 grad_norm: 8.3546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/07/23 09:48:39 - mmengine - INFO - Epoch(train) [74][2560/3757] lr: 1.0000e-03 eta: 6:32:08 time: 0.2312 data_time: 0.0211 memory: 6108 grad_norm: 8.1983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5031 loss: 1.5031 2022/07/23 09:48:44 - mmengine - INFO - Epoch(train) [74][2580/3757] lr: 1.0000e-03 eta: 6:32:03 time: 0.2401 data_time: 0.0219 memory: 6108 grad_norm: 8.1474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2017 loss: 1.2017 2022/07/23 09:48:49 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 1.0000e-03 eta: 6:31:58 time: 0.2332 data_time: 0.0218 memory: 6108 grad_norm: 7.7922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1193 loss: 1.1193 2022/07/23 09:48:54 - mmengine - INFO - Epoch(train) [74][2620/3757] lr: 1.0000e-03 eta: 6:31:53 time: 0.2273 data_time: 0.0222 memory: 6108 grad_norm: 8.1427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/07/23 09:48:58 - mmengine - INFO - Epoch(train) [74][2640/3757] lr: 1.0000e-03 eta: 6:31:48 time: 0.2325 data_time: 0.0300 memory: 6108 grad_norm: 8.0647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2746 loss: 1.2746 2022/07/23 09:49:03 - mmengine - INFO - Epoch(train) [74][2660/3757] lr: 1.0000e-03 eta: 6:31:44 time: 0.2398 data_time: 0.0253 memory: 6108 grad_norm: 8.7925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2358 loss: 1.2358 2022/07/23 09:49:08 - mmengine - INFO - Epoch(train) [74][2680/3757] lr: 1.0000e-03 eta: 6:31:39 time: 0.2339 data_time: 0.0199 memory: 6108 grad_norm: 8.5155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/07/23 09:49:13 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 1.0000e-03 eta: 6:31:34 time: 0.2351 data_time: 0.0233 memory: 6108 grad_norm: 8.1467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1969 loss: 1.1969 2022/07/23 09:49:17 - mmengine - INFO - Epoch(train) [74][2720/3757] lr: 1.0000e-03 eta: 6:31:29 time: 0.2269 data_time: 0.0203 memory: 6108 grad_norm: 8.4058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/07/23 09:49:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:49:22 - mmengine - INFO - Epoch(train) [74][2740/3757] lr: 1.0000e-03 eta: 6:31:24 time: 0.2437 data_time: 0.0264 memory: 6108 grad_norm: 8.8071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5638 loss: 1.5638 2022/07/23 09:49:27 - mmengine - INFO - Epoch(train) [74][2760/3757] lr: 1.0000e-03 eta: 6:31:20 time: 0.2269 data_time: 0.0206 memory: 6108 grad_norm: 8.5444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1521 loss: 1.1521 2022/07/23 09:49:31 - mmengine - INFO - Epoch(train) [74][2780/3757] lr: 1.0000e-03 eta: 6:31:15 time: 0.2283 data_time: 0.0219 memory: 6108 grad_norm: 8.6942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3018 loss: 1.3018 2022/07/23 09:49:36 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 1.0000e-03 eta: 6:31:10 time: 0.2300 data_time: 0.0199 memory: 6108 grad_norm: 8.5942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2934 loss: 1.2934 2022/07/23 09:49:41 - mmengine - INFO - Epoch(train) [74][2820/3757] lr: 1.0000e-03 eta: 6:31:05 time: 0.2396 data_time: 0.0257 memory: 6108 grad_norm: 8.8554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2450 loss: 1.2450 2022/07/23 09:49:45 - mmengine - INFO - Epoch(train) [74][2840/3757] lr: 1.0000e-03 eta: 6:31:01 time: 0.2405 data_time: 0.0207 memory: 6108 grad_norm: 8.5459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/07/23 09:49:50 - mmengine - INFO - Epoch(train) [74][2860/3757] lr: 1.0000e-03 eta: 6:30:56 time: 0.2278 data_time: 0.0241 memory: 6108 grad_norm: 8.6170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4421 loss: 1.4421 2022/07/23 09:49:55 - mmengine - INFO - Epoch(train) [74][2880/3757] lr: 1.0000e-03 eta: 6:30:51 time: 0.2379 data_time: 0.0268 memory: 6108 grad_norm: 8.1643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1931 loss: 1.1931 2022/07/23 09:49:59 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 1.0000e-03 eta: 6:30:46 time: 0.2298 data_time: 0.0182 memory: 6108 grad_norm: 8.4594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4735 loss: 1.4735 2022/07/23 09:50:04 - mmengine - INFO - Epoch(train) [74][2920/3757] lr: 1.0000e-03 eta: 6:30:41 time: 0.2376 data_time: 0.0197 memory: 6108 grad_norm: 8.3434 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3485 loss: 1.3485 2022/07/23 09:50:09 - mmengine - INFO - Epoch(train) [74][2940/3757] lr: 1.0000e-03 eta: 6:30:37 time: 0.2336 data_time: 0.0251 memory: 6108 grad_norm: 8.2645 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3338 loss: 1.3338 2022/07/23 09:50:14 - mmengine - INFO - Epoch(train) [74][2960/3757] lr: 1.0000e-03 eta: 6:30:32 time: 0.2321 data_time: 0.0218 memory: 6108 grad_norm: 8.2325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1702 loss: 1.1702 2022/07/23 09:50:18 - mmengine - INFO - Epoch(train) [74][2980/3757] lr: 1.0000e-03 eta: 6:30:27 time: 0.2317 data_time: 0.0252 memory: 6108 grad_norm: 8.3991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/07/23 09:50:23 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 1.0000e-03 eta: 6:30:22 time: 0.2407 data_time: 0.0232 memory: 6108 grad_norm: 8.2607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2409 loss: 1.2409 2022/07/23 09:50:28 - mmengine - INFO - Epoch(train) [74][3020/3757] lr: 1.0000e-03 eta: 6:30:17 time: 0.2304 data_time: 0.0294 memory: 6108 grad_norm: 8.7383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4342 loss: 1.4342 2022/07/23 09:50:32 - mmengine - INFO - Epoch(train) [74][3040/3757] lr: 1.0000e-03 eta: 6:30:13 time: 0.2370 data_time: 0.0244 memory: 6108 grad_norm: 8.4946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5353 loss: 1.5353 2022/07/23 09:50:37 - mmengine - INFO - Epoch(train) [74][3060/3757] lr: 1.0000e-03 eta: 6:30:08 time: 0.2309 data_time: 0.0228 memory: 6108 grad_norm: 8.3429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1263 loss: 1.1263 2022/07/23 09:50:42 - mmengine - INFO - Epoch(train) [74][3080/3757] lr: 1.0000e-03 eta: 6:30:03 time: 0.2238 data_time: 0.0211 memory: 6108 grad_norm: 8.5508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/07/23 09:50:46 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 1.0000e-03 eta: 6:29:58 time: 0.2407 data_time: 0.0202 memory: 6108 grad_norm: 8.2917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/07/23 09:50:51 - mmengine - INFO - Epoch(train) [74][3120/3757] lr: 1.0000e-03 eta: 6:29:53 time: 0.2287 data_time: 0.0241 memory: 6108 grad_norm: 8.7377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/07/23 09:50:56 - mmengine - INFO - Epoch(train) [74][3140/3757] lr: 1.0000e-03 eta: 6:29:49 time: 0.2398 data_time: 0.0214 memory: 6108 grad_norm: 8.3308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/07/23 09:51:00 - mmengine - INFO - Epoch(train) [74][3160/3757] lr: 1.0000e-03 eta: 6:29:44 time: 0.2255 data_time: 0.0177 memory: 6108 grad_norm: 8.4848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3259 loss: 1.3259 2022/07/23 09:51:05 - mmengine - INFO - Epoch(train) [74][3180/3757] lr: 1.0000e-03 eta: 6:29:39 time: 0.2438 data_time: 0.0341 memory: 6108 grad_norm: 8.3500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/07/23 09:51:10 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 1.0000e-03 eta: 6:29:34 time: 0.2308 data_time: 0.0215 memory: 6108 grad_norm: 8.5343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2885 loss: 1.2885 2022/07/23 09:51:15 - mmengine - INFO - Epoch(train) [74][3220/3757] lr: 1.0000e-03 eta: 6:29:30 time: 0.2361 data_time: 0.0264 memory: 6108 grad_norm: 8.5406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1479 loss: 1.1479 2022/07/23 09:51:19 - mmengine - INFO - Epoch(train) [74][3240/3757] lr: 1.0000e-03 eta: 6:29:25 time: 0.2279 data_time: 0.0242 memory: 6108 grad_norm: 8.3382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3628 loss: 1.3628 2022/07/23 09:51:24 - mmengine - INFO - Epoch(train) [74][3260/3757] lr: 1.0000e-03 eta: 6:29:20 time: 0.2332 data_time: 0.0183 memory: 6108 grad_norm: 8.8670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5234 loss: 1.5234 2022/07/23 09:51:29 - mmengine - INFO - Epoch(train) [74][3280/3757] lr: 1.0000e-03 eta: 6:29:15 time: 0.2320 data_time: 0.0283 memory: 6108 grad_norm: 8.6758 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4097 loss: 1.4097 2022/07/23 09:51:33 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 1.0000e-03 eta: 6:29:10 time: 0.2389 data_time: 0.0233 memory: 6108 grad_norm: 8.0281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/07/23 09:51:38 - mmengine - INFO - Epoch(train) [74][3320/3757] lr: 1.0000e-03 eta: 6:29:06 time: 0.2317 data_time: 0.0243 memory: 6108 grad_norm: 8.2447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2391 loss: 1.2391 2022/07/23 09:51:43 - mmengine - INFO - Epoch(train) [74][3340/3757] lr: 1.0000e-03 eta: 6:29:01 time: 0.2362 data_time: 0.0272 memory: 6108 grad_norm: 8.1994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1495 loss: 1.1495 2022/07/23 09:51:48 - mmengine - INFO - Epoch(train) [74][3360/3757] lr: 1.0000e-03 eta: 6:28:56 time: 0.2321 data_time: 0.0232 memory: 6108 grad_norm: 8.3994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4636 loss: 1.4636 2022/07/23 09:51:52 - mmengine - INFO - Epoch(train) [74][3380/3757] lr: 1.0000e-03 eta: 6:28:51 time: 0.2357 data_time: 0.0219 memory: 6108 grad_norm: 8.4660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4151 loss: 1.4151 2022/07/23 09:51:57 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 1.0000e-03 eta: 6:28:46 time: 0.2329 data_time: 0.0225 memory: 6108 grad_norm: 8.3170 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2652 loss: 1.2652 2022/07/23 09:52:02 - mmengine - INFO - Epoch(train) [74][3420/3757] lr: 1.0000e-03 eta: 6:28:42 time: 0.2308 data_time: 0.0258 memory: 6108 grad_norm: 8.0338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/07/23 09:52:06 - mmengine - INFO - Epoch(train) [74][3440/3757] lr: 1.0000e-03 eta: 6:28:37 time: 0.2356 data_time: 0.0225 memory: 6108 grad_norm: 8.5412 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1863 loss: 1.1863 2022/07/23 09:52:11 - mmengine - INFO - Epoch(train) [74][3460/3757] lr: 1.0000e-03 eta: 6:28:32 time: 0.2403 data_time: 0.0224 memory: 6108 grad_norm: 8.2180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2266 loss: 1.2266 2022/07/23 09:52:16 - mmengine - INFO - Epoch(train) [74][3480/3757] lr: 1.0000e-03 eta: 6:28:27 time: 0.2308 data_time: 0.0293 memory: 6108 grad_norm: 8.4233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2924 loss: 1.2924 2022/07/23 09:52:20 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 1.0000e-03 eta: 6:28:22 time: 0.2307 data_time: 0.0280 memory: 6108 grad_norm: 8.7681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4624 loss: 1.4624 2022/07/23 09:52:25 - mmengine - INFO - Epoch(train) [74][3520/3757] lr: 1.0000e-03 eta: 6:28:18 time: 0.2384 data_time: 0.0293 memory: 6108 grad_norm: 8.3323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2546 loss: 1.2546 2022/07/23 09:52:30 - mmengine - INFO - Epoch(train) [74][3540/3757] lr: 1.0000e-03 eta: 6:28:13 time: 0.2342 data_time: 0.0238 memory: 6108 grad_norm: 8.4297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1908 loss: 1.1908 2022/07/23 09:52:35 - mmengine - INFO - Epoch(train) [74][3560/3757] lr: 1.0000e-03 eta: 6:28:08 time: 0.2313 data_time: 0.0245 memory: 6108 grad_norm: 8.4438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/07/23 09:52:40 - mmengine - INFO - Epoch(train) [74][3580/3757] lr: 1.0000e-03 eta: 6:28:03 time: 0.2450 data_time: 0.0404 memory: 6108 grad_norm: 8.6777 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4212 loss: 1.4212 2022/07/23 09:52:44 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 1.0000e-03 eta: 6:27:59 time: 0.2359 data_time: 0.0285 memory: 6108 grad_norm: 8.0820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0514 loss: 1.0514 2022/07/23 09:52:49 - mmengine - INFO - Epoch(train) [74][3620/3757] lr: 1.0000e-03 eta: 6:27:54 time: 0.2276 data_time: 0.0177 memory: 6108 grad_norm: 8.2409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0141 loss: 1.0141 2022/07/23 09:52:54 - mmengine - INFO - Epoch(train) [74][3640/3757] lr: 1.0000e-03 eta: 6:27:49 time: 0.2333 data_time: 0.0238 memory: 6108 grad_norm: 8.4629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2949 loss: 1.2949 2022/07/23 09:52:58 - mmengine - INFO - Epoch(train) [74][3660/3757] lr: 1.0000e-03 eta: 6:27:44 time: 0.2426 data_time: 0.0216 memory: 6108 grad_norm: 8.6357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2616 loss: 1.2616 2022/07/23 09:53:03 - mmengine - INFO - Epoch(train) [74][3680/3757] lr: 1.0000e-03 eta: 6:27:39 time: 0.2344 data_time: 0.0310 memory: 6108 grad_norm: 8.4098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/07/23 09:53:08 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 1.0000e-03 eta: 6:27:35 time: 0.2308 data_time: 0.0219 memory: 6108 grad_norm: 8.7455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3311 loss: 1.3311 2022/07/23 09:53:13 - mmengine - INFO - Epoch(train) [74][3720/3757] lr: 1.0000e-03 eta: 6:27:30 time: 0.2379 data_time: 0.0277 memory: 6108 grad_norm: 8.7094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4593 loss: 1.4593 2022/07/23 09:53:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:53:17 - mmengine - INFO - Epoch(train) [74][3740/3757] lr: 1.0000e-03 eta: 6:27:25 time: 0.2272 data_time: 0.0228 memory: 6108 grad_norm: 8.3628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/07/23 09:53:20 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:53:20 - mmengine - INFO - Epoch(train) [74][3757/3757] lr: 1.0000e-03 eta: 6:27:25 time: 0.1968 data_time: 0.0201 memory: 6108 grad_norm: 8.5133 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3167 loss: 1.3167 2022/07/23 09:53:26 - mmengine - INFO - Epoch(val) [74][20/310] eta: 0:01:18 time: 0.2691 data_time: 0.1911 memory: 1428 2022/07/23 09:53:30 - mmengine - INFO - Epoch(val) [74][40/310] eta: 0:00:50 time: 0.1854 data_time: 0.1018 memory: 1428 2022/07/23 09:53:34 - mmengine - INFO - Epoch(val) [74][60/310] eta: 0:00:56 time: 0.2272 data_time: 0.1513 memory: 1428 2022/07/23 09:53:38 - mmengine - INFO - Epoch(val) [74][80/310] eta: 0:00:46 time: 0.2031 data_time: 0.1253 memory: 1428 2022/07/23 09:53:43 - mmengine - INFO - Epoch(val) [74][100/310] eta: 0:00:47 time: 0.2246 data_time: 0.1500 memory: 1428 2022/07/23 09:53:46 - mmengine - INFO - Epoch(val) [74][120/310] eta: 0:00:36 time: 0.1896 data_time: 0.1147 memory: 1428 2022/07/23 09:53:51 - mmengine - INFO - Epoch(val) [74][140/310] eta: 0:00:42 time: 0.2483 data_time: 0.1726 memory: 1428 2022/07/23 09:53:55 - mmengine - INFO - Epoch(val) [74][160/310] eta: 0:00:28 time: 0.1887 data_time: 0.1115 memory: 1428 2022/07/23 09:54:00 - mmengine - INFO - Epoch(val) [74][180/310] eta: 0:00:29 time: 0.2290 data_time: 0.1518 memory: 1428 2022/07/23 09:54:04 - mmengine - INFO - Epoch(val) [74][200/310] eta: 0:00:21 time: 0.1970 data_time: 0.1184 memory: 1428 2022/07/23 09:54:09 - mmengine - INFO - Epoch(val) [74][220/310] eta: 0:00:24 time: 0.2681 data_time: 0.1964 memory: 1428 2022/07/23 09:54:13 - mmengine - INFO - Epoch(val) [74][240/310] eta: 0:00:12 time: 0.1811 data_time: 0.1056 memory: 1428 2022/07/23 09:54:18 - mmengine - INFO - Epoch(val) [74][260/310] eta: 0:00:12 time: 0.2428 data_time: 0.1660 memory: 1428 2022/07/23 09:54:21 - mmengine - INFO - Epoch(val) [74][280/310] eta: 0:00:05 time: 0.1831 data_time: 0.1075 memory: 1428 2022/07/23 09:54:26 - mmengine - INFO - Epoch(val) [74][300/310] eta: 0:00:02 time: 0.2234 data_time: 0.1515 memory: 1428 2022/07/23 09:54:28 - mmengine - INFO - Epoch(val) [74][310/310] acc/top1: 0.6548 acc/top5: 0.8579 acc/mean1: 0.6547 2022/07/23 09:54:35 - mmengine - INFO - Epoch(train) [75][20/3757] lr: 1.0000e-03 eta: 6:27:16 time: 0.3458 data_time: 0.1088 memory: 6108 grad_norm: 8.3088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/07/23 09:54:40 - mmengine - INFO - Epoch(train) [75][40/3757] lr: 1.0000e-03 eta: 6:27:11 time: 0.2406 data_time: 0.0183 memory: 6108 grad_norm: 8.1617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1428 loss: 1.1428 2022/07/23 09:54:45 - mmengine - INFO - Epoch(train) [75][60/3757] lr: 1.0000e-03 eta: 6:27:06 time: 0.2377 data_time: 0.0224 memory: 6108 grad_norm: 8.5047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3606 loss: 1.3606 2022/07/23 09:54:50 - mmengine - INFO - Epoch(train) [75][80/3757] lr: 1.0000e-03 eta: 6:27:01 time: 0.2269 data_time: 0.0202 memory: 6108 grad_norm: 8.5671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3777 loss: 1.3777 2022/07/23 09:54:54 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 1.0000e-03 eta: 6:26:57 time: 0.2392 data_time: 0.0245 memory: 6108 grad_norm: 8.6329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2817 loss: 1.2817 2022/07/23 09:54:59 - mmengine - INFO - Epoch(train) [75][120/3757] lr: 1.0000e-03 eta: 6:26:52 time: 0.2300 data_time: 0.0233 memory: 6108 grad_norm: 8.7254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3202 loss: 1.3202 2022/07/23 09:55:04 - mmengine - INFO - Epoch(train) [75][140/3757] lr: 1.0000e-03 eta: 6:26:47 time: 0.2368 data_time: 0.0220 memory: 6108 grad_norm: 8.5722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/07/23 09:55:09 - mmengine - INFO - Epoch(train) [75][160/3757] lr: 1.0000e-03 eta: 6:26:42 time: 0.2323 data_time: 0.0221 memory: 6108 grad_norm: 8.2986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9896 loss: 0.9896 2022/07/23 09:55:13 - mmengine - INFO - Epoch(train) [75][180/3757] lr: 1.0000e-03 eta: 6:26:37 time: 0.2418 data_time: 0.0285 memory: 6108 grad_norm: 8.7660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3451 loss: 1.3451 2022/07/23 09:55:18 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 1.0000e-03 eta: 6:26:33 time: 0.2326 data_time: 0.0196 memory: 6108 grad_norm: 8.3381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5303 loss: 1.5303 2022/07/23 09:55:23 - mmengine - INFO - Epoch(train) [75][220/3757] lr: 1.0000e-03 eta: 6:26:28 time: 0.2329 data_time: 0.0184 memory: 6108 grad_norm: 8.3851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/07/23 09:55:27 - mmengine - INFO - Epoch(train) [75][240/3757] lr: 1.0000e-03 eta: 6:26:23 time: 0.2324 data_time: 0.0233 memory: 6108 grad_norm: 8.6862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/07/23 09:55:33 - mmengine - INFO - Epoch(train) [75][260/3757] lr: 1.0000e-03 eta: 6:26:18 time: 0.2557 data_time: 0.0177 memory: 6108 grad_norm: 8.7488 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4368 loss: 1.4368 2022/07/23 09:55:37 - mmengine - INFO - Epoch(train) [75][280/3757] lr: 1.0000e-03 eta: 6:26:14 time: 0.2378 data_time: 0.0230 memory: 6108 grad_norm: 8.3616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9892 loss: 0.9892 2022/07/23 09:55:42 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 1.0000e-03 eta: 6:26:09 time: 0.2311 data_time: 0.0269 memory: 6108 grad_norm: 8.2033 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4423 loss: 1.4423 2022/07/23 09:55:47 - mmengine - INFO - Epoch(train) [75][320/3757] lr: 1.0000e-03 eta: 6:26:04 time: 0.2350 data_time: 0.0278 memory: 6108 grad_norm: 8.5981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/07/23 09:55:51 - mmengine - INFO - Epoch(train) [75][340/3757] lr: 1.0000e-03 eta: 6:25:59 time: 0.2273 data_time: 0.0225 memory: 6108 grad_norm: 8.7619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4044 loss: 1.4044 2022/07/23 09:55:56 - mmengine - INFO - Epoch(train) [75][360/3757] lr: 1.0000e-03 eta: 6:25:54 time: 0.2364 data_time: 0.0304 memory: 6108 grad_norm: 8.6106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2687 loss: 1.2687 2022/07/23 09:56:01 - mmengine - INFO - Epoch(train) [75][380/3757] lr: 1.0000e-03 eta: 6:25:50 time: 0.2270 data_time: 0.0245 memory: 6108 grad_norm: 8.5703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3099 loss: 1.3099 2022/07/23 09:56:05 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 1.0000e-03 eta: 6:25:45 time: 0.2307 data_time: 0.0270 memory: 6108 grad_norm: 8.2918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3279 loss: 1.3279 2022/07/23 09:56:10 - mmengine - INFO - Epoch(train) [75][420/3757] lr: 1.0000e-03 eta: 6:25:40 time: 0.2329 data_time: 0.0267 memory: 6108 grad_norm: 8.4051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3380 loss: 1.3380 2022/07/23 09:56:15 - mmengine - INFO - Epoch(train) [75][440/3757] lr: 1.0000e-03 eta: 6:25:35 time: 0.2413 data_time: 0.0190 memory: 6108 grad_norm: 8.3965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3788 loss: 1.3788 2022/07/23 09:56:20 - mmengine - INFO - Epoch(train) [75][460/3757] lr: 1.0000e-03 eta: 6:25:31 time: 0.2351 data_time: 0.0250 memory: 6108 grad_norm: 8.2724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/07/23 09:56:24 - mmengine - INFO - Epoch(train) [75][480/3757] lr: 1.0000e-03 eta: 6:25:26 time: 0.2306 data_time: 0.0233 memory: 6108 grad_norm: 8.4718 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2169 loss: 1.2169 2022/07/23 09:56:29 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 1.0000e-03 eta: 6:25:21 time: 0.2317 data_time: 0.0208 memory: 6108 grad_norm: 8.3349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2056 loss: 1.2056 2022/07/23 09:56:34 - mmengine - INFO - Epoch(train) [75][520/3757] lr: 1.0000e-03 eta: 6:25:16 time: 0.2410 data_time: 0.0199 memory: 6108 grad_norm: 8.5963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1115 loss: 1.1115 2022/07/23 09:56:38 - mmengine - INFO - Epoch(train) [75][540/3757] lr: 1.0000e-03 eta: 6:25:11 time: 0.2270 data_time: 0.0278 memory: 6108 grad_norm: 8.1491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/07/23 09:56:43 - mmengine - INFO - Epoch(train) [75][560/3757] lr: 1.0000e-03 eta: 6:25:07 time: 0.2346 data_time: 0.0198 memory: 6108 grad_norm: 8.3873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1042 loss: 1.1042 2022/07/23 09:56:48 - mmengine - INFO - Epoch(train) [75][580/3757] lr: 1.0000e-03 eta: 6:25:02 time: 0.2284 data_time: 0.0203 memory: 6108 grad_norm: 8.4786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4460 loss: 1.4460 2022/07/23 09:56:52 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 1.0000e-03 eta: 6:24:57 time: 0.2304 data_time: 0.0241 memory: 6108 grad_norm: 8.6042 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/07/23 09:56:57 - mmengine - INFO - Epoch(train) [75][620/3757] lr: 1.0000e-03 eta: 6:24:52 time: 0.2437 data_time: 0.0213 memory: 6108 grad_norm: 8.5887 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5348 loss: 1.5348 2022/07/23 09:57:02 - mmengine - INFO - Epoch(train) [75][640/3757] lr: 1.0000e-03 eta: 6:24:47 time: 0.2307 data_time: 0.0218 memory: 6108 grad_norm: 8.4382 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3019 loss: 1.3019 2022/07/23 09:57:06 - mmengine - INFO - Epoch(train) [75][660/3757] lr: 1.0000e-03 eta: 6:24:43 time: 0.2356 data_time: 0.0257 memory: 6108 grad_norm: 8.4015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/07/23 09:57:11 - mmengine - INFO - Epoch(train) [75][680/3757] lr: 1.0000e-03 eta: 6:24:38 time: 0.2296 data_time: 0.0201 memory: 6108 grad_norm: 8.3366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/07/23 09:57:16 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 1.0000e-03 eta: 6:24:33 time: 0.2286 data_time: 0.0232 memory: 6108 grad_norm: 8.7838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4456 loss: 1.4456 2022/07/23 09:57:20 - mmengine - INFO - Epoch(train) [75][720/3757] lr: 1.0000e-03 eta: 6:24:28 time: 0.2304 data_time: 0.0243 memory: 6108 grad_norm: 8.5094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3762 loss: 1.3762 2022/07/23 09:57:25 - mmengine - INFO - Epoch(train) [75][740/3757] lr: 1.0000e-03 eta: 6:24:23 time: 0.2374 data_time: 0.0326 memory: 6108 grad_norm: 8.4938 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1414 loss: 1.1414 2022/07/23 09:57:30 - mmengine - INFO - Epoch(train) [75][760/3757] lr: 1.0000e-03 eta: 6:24:19 time: 0.2341 data_time: 0.0237 memory: 6108 grad_norm: 8.5364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/07/23 09:57:35 - mmengine - INFO - Epoch(train) [75][780/3757] lr: 1.0000e-03 eta: 6:24:14 time: 0.2359 data_time: 0.0244 memory: 6108 grad_norm: 8.6277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3140 loss: 1.3140 2022/07/23 09:57:39 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 1.0000e-03 eta: 6:24:09 time: 0.2275 data_time: 0.0185 memory: 6108 grad_norm: 8.3820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/07/23 09:57:44 - mmengine - INFO - Epoch(train) [75][820/3757] lr: 1.0000e-03 eta: 6:24:04 time: 0.2454 data_time: 0.0231 memory: 6108 grad_norm: 8.3625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3388 loss: 1.3388 2022/07/23 09:57:49 - mmengine - INFO - Epoch(train) [75][840/3757] lr: 1.0000e-03 eta: 6:23:59 time: 0.2258 data_time: 0.0257 memory: 6108 grad_norm: 8.5452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2932 loss: 1.2932 2022/07/23 09:57:53 - mmengine - INFO - Epoch(train) [75][860/3757] lr: 1.0000e-03 eta: 6:23:55 time: 0.2345 data_time: 0.0232 memory: 6108 grad_norm: 8.1525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2654 loss: 1.2654 2022/07/23 09:57:58 - mmengine - INFO - Epoch(train) [75][880/3757] lr: 1.0000e-03 eta: 6:23:50 time: 0.2277 data_time: 0.0219 memory: 6108 grad_norm: 8.4369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3288 loss: 1.3288 2022/07/23 09:58:03 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 1.0000e-03 eta: 6:23:45 time: 0.2331 data_time: 0.0268 memory: 6108 grad_norm: 8.4687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6540 loss: 1.6540 2022/07/23 09:58:07 - mmengine - INFO - Epoch(train) [75][920/3757] lr: 1.0000e-03 eta: 6:23:40 time: 0.2397 data_time: 0.0217 memory: 6108 grad_norm: 8.3376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2177 loss: 1.2177 2022/07/23 09:58:12 - mmengine - INFO - Epoch(train) [75][940/3757] lr: 1.0000e-03 eta: 6:23:35 time: 0.2304 data_time: 0.0211 memory: 6108 grad_norm: 8.6845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6467 loss: 1.6467 2022/07/23 09:58:17 - mmengine - INFO - Epoch(train) [75][960/3757] lr: 1.0000e-03 eta: 6:23:31 time: 0.2376 data_time: 0.0216 memory: 6108 grad_norm: 8.2571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6023 loss: 1.6023 2022/07/23 09:58:22 - mmengine - INFO - Epoch(train) [75][980/3757] lr: 1.0000e-03 eta: 6:23:26 time: 0.2486 data_time: 0.0207 memory: 6108 grad_norm: 8.5974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/07/23 09:58:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 09:58:26 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 1.0000e-03 eta: 6:23:21 time: 0.2297 data_time: 0.0223 memory: 6108 grad_norm: 8.3207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2245 loss: 1.2245 2022/07/23 09:58:31 - mmengine - INFO - Epoch(train) [75][1020/3757] lr: 1.0000e-03 eta: 6:23:16 time: 0.2349 data_time: 0.0269 memory: 6108 grad_norm: 8.0535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/23 09:58:36 - mmengine - INFO - Epoch(train) [75][1040/3757] lr: 1.0000e-03 eta: 6:23:12 time: 0.2351 data_time: 0.0208 memory: 6108 grad_norm: 8.4760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4519 loss: 1.4519 2022/07/23 09:58:41 - mmengine - INFO - Epoch(train) [75][1060/3757] lr: 1.0000e-03 eta: 6:23:07 time: 0.2338 data_time: 0.0208 memory: 6108 grad_norm: 8.6115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2862 loss: 1.2862 2022/07/23 09:58:45 - mmengine - INFO - Epoch(train) [75][1080/3757] lr: 1.0000e-03 eta: 6:23:02 time: 0.2360 data_time: 0.0271 memory: 6108 grad_norm: 8.3838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/07/23 09:58:50 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 1.0000e-03 eta: 6:22:57 time: 0.2334 data_time: 0.0224 memory: 6108 grad_norm: 8.2658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2810 loss: 1.2810 2022/07/23 09:58:55 - mmengine - INFO - Epoch(train) [75][1120/3757] lr: 1.0000e-03 eta: 6:22:53 time: 0.2400 data_time: 0.0230 memory: 6108 grad_norm: 8.3550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2365 loss: 1.2365 2022/07/23 09:58:59 - mmengine - INFO - Epoch(train) [75][1140/3757] lr: 1.0000e-03 eta: 6:22:48 time: 0.2286 data_time: 0.0235 memory: 6108 grad_norm: 8.3489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4222 loss: 1.4222 2022/07/23 09:59:04 - mmengine - INFO - Epoch(train) [75][1160/3757] lr: 1.0000e-03 eta: 6:22:43 time: 0.2407 data_time: 0.0205 memory: 6108 grad_norm: 8.4939 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5419 loss: 1.5419 2022/07/23 09:59:09 - mmengine - INFO - Epoch(train) [75][1180/3757] lr: 1.0000e-03 eta: 6:22:38 time: 0.2318 data_time: 0.0236 memory: 6108 grad_norm: 8.5565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/23 09:59:14 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 1.0000e-03 eta: 6:22:34 time: 0.2489 data_time: 0.0217 memory: 6108 grad_norm: 8.6204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0707 loss: 1.0707 2022/07/23 09:59:18 - mmengine - INFO - Epoch(train) [75][1220/3757] lr: 1.0000e-03 eta: 6:22:29 time: 0.2218 data_time: 0.0182 memory: 6108 grad_norm: 8.5439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/07/23 09:59:23 - mmengine - INFO - Epoch(train) [75][1240/3757] lr: 1.0000e-03 eta: 6:22:24 time: 0.2295 data_time: 0.0248 memory: 6108 grad_norm: 8.5590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/07/23 09:59:28 - mmengine - INFO - Epoch(train) [75][1260/3757] lr: 1.0000e-03 eta: 6:22:19 time: 0.2320 data_time: 0.0248 memory: 6108 grad_norm: 8.5808 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2456 loss: 1.2456 2022/07/23 09:59:32 - mmengine - INFO - Epoch(train) [75][1280/3757] lr: 1.0000e-03 eta: 6:22:14 time: 0.2347 data_time: 0.0240 memory: 6108 grad_norm: 8.8905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5903 loss: 1.5903 2022/07/23 09:59:37 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 1.0000e-03 eta: 6:22:10 time: 0.2371 data_time: 0.0225 memory: 6108 grad_norm: 8.6835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/07/23 09:59:42 - mmengine - INFO - Epoch(train) [75][1320/3757] lr: 1.0000e-03 eta: 6:22:05 time: 0.2277 data_time: 0.0287 memory: 6108 grad_norm: 8.1014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/07/23 09:59:46 - mmengine - INFO - Epoch(train) [75][1340/3757] lr: 1.0000e-03 eta: 6:22:00 time: 0.2295 data_time: 0.0262 memory: 6108 grad_norm: 8.5628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9489 loss: 0.9489 2022/07/23 09:59:51 - mmengine - INFO - Epoch(train) [75][1360/3757] lr: 1.0000e-03 eta: 6:21:55 time: 0.2299 data_time: 0.0197 memory: 6108 grad_norm: 8.3175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/07/23 09:59:56 - mmengine - INFO - Epoch(train) [75][1380/3757] lr: 1.0000e-03 eta: 6:21:50 time: 0.2352 data_time: 0.0277 memory: 6108 grad_norm: 8.5264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2318 loss: 1.2318 2022/07/23 10:00:01 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 1.0000e-03 eta: 6:21:46 time: 0.2469 data_time: 0.0182 memory: 6108 grad_norm: 8.4663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4506 loss: 1.4506 2022/07/23 10:00:06 - mmengine - INFO - Epoch(train) [75][1420/3757] lr: 1.0000e-03 eta: 6:21:41 time: 0.2585 data_time: 0.0191 memory: 6108 grad_norm: 8.2128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2257 loss: 1.2257 2022/07/23 10:00:10 - mmengine - INFO - Epoch(train) [75][1440/3757] lr: 1.0000e-03 eta: 6:21:36 time: 0.2287 data_time: 0.0268 memory: 6108 grad_norm: 8.4143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/07/23 10:00:15 - mmengine - INFO - Epoch(train) [75][1460/3757] lr: 1.0000e-03 eta: 6:21:31 time: 0.2262 data_time: 0.0236 memory: 6108 grad_norm: 8.1784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/07/23 10:00:20 - mmengine - INFO - Epoch(train) [75][1480/3757] lr: 1.0000e-03 eta: 6:21:27 time: 0.2331 data_time: 0.0261 memory: 6108 grad_norm: 8.0899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3716 loss: 1.3716 2022/07/23 10:00:24 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 1.0000e-03 eta: 6:21:22 time: 0.2352 data_time: 0.0262 memory: 6108 grad_norm: 8.3015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4013 loss: 1.4013 2022/07/23 10:00:29 - mmengine - INFO - Epoch(train) [75][1520/3757] lr: 1.0000e-03 eta: 6:21:17 time: 0.2314 data_time: 0.0235 memory: 6108 grad_norm: 8.5714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5379 loss: 1.5379 2022/07/23 10:00:34 - mmengine - INFO - Epoch(train) [75][1540/3757] lr: 1.0000e-03 eta: 6:21:12 time: 0.2321 data_time: 0.0221 memory: 6108 grad_norm: 8.6009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4246 loss: 1.4246 2022/07/23 10:00:38 - mmengine - INFO - Epoch(train) [75][1560/3757] lr: 1.0000e-03 eta: 6:21:07 time: 0.2338 data_time: 0.0276 memory: 6108 grad_norm: 8.5042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7047 loss: 1.7047 2022/07/23 10:00:43 - mmengine - INFO - Epoch(train) [75][1580/3757] lr: 1.0000e-03 eta: 6:21:03 time: 0.2484 data_time: 0.0228 memory: 6108 grad_norm: 8.5211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/07/23 10:00:48 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 1.0000e-03 eta: 6:20:58 time: 0.2295 data_time: 0.0163 memory: 6108 grad_norm: 8.6473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/07/23 10:00:53 - mmengine - INFO - Epoch(train) [75][1620/3757] lr: 1.0000e-03 eta: 6:20:53 time: 0.2292 data_time: 0.0261 memory: 6108 grad_norm: 8.4958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3791 loss: 1.3791 2022/07/23 10:00:57 - mmengine - INFO - Epoch(train) [75][1640/3757] lr: 1.0000e-03 eta: 6:20:48 time: 0.2290 data_time: 0.0228 memory: 6108 grad_norm: 8.0226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/07/23 10:01:02 - mmengine - INFO - Epoch(train) [75][1660/3757] lr: 1.0000e-03 eta: 6:20:43 time: 0.2330 data_time: 0.0186 memory: 6108 grad_norm: 8.2777 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3715 loss: 1.3715 2022/07/23 10:01:07 - mmengine - INFO - Epoch(train) [75][1680/3757] lr: 1.0000e-03 eta: 6:20:39 time: 0.2492 data_time: 0.0374 memory: 6108 grad_norm: 8.5156 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2307 loss: 1.2307 2022/07/23 10:01:12 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 1.0000e-03 eta: 6:20:34 time: 0.2273 data_time: 0.0185 memory: 6108 grad_norm: 8.9073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3498 loss: 1.3498 2022/07/23 10:01:16 - mmengine - INFO - Epoch(train) [75][1720/3757] lr: 1.0000e-03 eta: 6:20:29 time: 0.2308 data_time: 0.0239 memory: 6108 grad_norm: 8.7100 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4607 loss: 1.4607 2022/07/23 10:01:21 - mmengine - INFO - Epoch(train) [75][1740/3757] lr: 1.0000e-03 eta: 6:20:24 time: 0.2269 data_time: 0.0234 memory: 6108 grad_norm: 8.5876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1536 loss: 1.1536 2022/07/23 10:01:26 - mmengine - INFO - Epoch(train) [75][1760/3757] lr: 1.0000e-03 eta: 6:20:20 time: 0.2620 data_time: 0.0157 memory: 6108 grad_norm: 8.4407 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2646 loss: 1.2646 2022/07/23 10:01:31 - mmengine - INFO - Epoch(train) [75][1780/3757] lr: 1.0000e-03 eta: 6:20:15 time: 0.2341 data_time: 0.0251 memory: 6108 grad_norm: 8.5835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1600 loss: 1.1600 2022/07/23 10:01:35 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 1.0000e-03 eta: 6:20:10 time: 0.2345 data_time: 0.0301 memory: 6108 grad_norm: 8.5038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3430 loss: 1.3430 2022/07/23 10:01:40 - mmengine - INFO - Epoch(train) [75][1820/3757] lr: 1.0000e-03 eta: 6:20:05 time: 0.2276 data_time: 0.0222 memory: 6108 grad_norm: 8.2400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/07/23 10:01:45 - mmengine - INFO - Epoch(train) [75][1840/3757] lr: 1.0000e-03 eta: 6:20:01 time: 0.2366 data_time: 0.0234 memory: 6108 grad_norm: 8.5486 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4109 loss: 1.4109 2022/07/23 10:01:49 - mmengine - INFO - Epoch(train) [75][1860/3757] lr: 1.0000e-03 eta: 6:19:56 time: 0.2313 data_time: 0.0229 memory: 6108 grad_norm: 8.3223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/23 10:01:54 - mmengine - INFO - Epoch(train) [75][1880/3757] lr: 1.0000e-03 eta: 6:19:51 time: 0.2276 data_time: 0.0198 memory: 6108 grad_norm: 8.1829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3031 loss: 1.3031 2022/07/23 10:01:59 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 1.0000e-03 eta: 6:19:46 time: 0.2354 data_time: 0.0287 memory: 6108 grad_norm: 8.4080 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2725 loss: 1.2725 2022/07/23 10:02:04 - mmengine - INFO - Epoch(train) [75][1920/3757] lr: 1.0000e-03 eta: 6:19:41 time: 0.2412 data_time: 0.0244 memory: 6108 grad_norm: 8.7295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3615 loss: 1.3615 2022/07/23 10:02:08 - mmengine - INFO - Epoch(train) [75][1940/3757] lr: 1.0000e-03 eta: 6:19:37 time: 0.2247 data_time: 0.0173 memory: 6108 grad_norm: 8.1130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1891 loss: 1.1891 2022/07/23 10:02:13 - mmengine - INFO - Epoch(train) [75][1960/3757] lr: 1.0000e-03 eta: 6:19:32 time: 0.2288 data_time: 0.0250 memory: 6108 grad_norm: 8.3149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1798 loss: 1.1798 2022/07/23 10:02:18 - mmengine - INFO - Epoch(train) [75][1980/3757] lr: 1.0000e-03 eta: 6:19:27 time: 0.2410 data_time: 0.0249 memory: 6108 grad_norm: 8.7600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/07/23 10:02:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:02:22 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 1.0000e-03 eta: 6:19:22 time: 0.2432 data_time: 0.0212 memory: 6108 grad_norm: 8.5592 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/07/23 10:02:27 - mmengine - INFO - Epoch(train) [75][2020/3757] lr: 1.0000e-03 eta: 6:19:17 time: 0.2316 data_time: 0.0201 memory: 6108 grad_norm: 8.3638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3143 loss: 1.3143 2022/07/23 10:02:32 - mmengine - INFO - Epoch(train) [75][2040/3757] lr: 1.0000e-03 eta: 6:19:13 time: 0.2466 data_time: 0.0239 memory: 6108 grad_norm: 8.7286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3381 loss: 1.3381 2022/07/23 10:02:38 - mmengine - INFO - Epoch(train) [75][2060/3757] lr: 1.0000e-03 eta: 6:19:08 time: 0.2713 data_time: 0.0186 memory: 6108 grad_norm: 8.2895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/07/23 10:02:42 - mmengine - INFO - Epoch(train) [75][2080/3757] lr: 1.0000e-03 eta: 6:19:03 time: 0.2236 data_time: 0.0202 memory: 6108 grad_norm: 8.5791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3639 loss: 1.3639 2022/07/23 10:02:47 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 1.0000e-03 eta: 6:18:59 time: 0.2295 data_time: 0.0178 memory: 6108 grad_norm: 8.3548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2955 loss: 1.2955 2022/07/23 10:02:51 - mmengine - INFO - Epoch(train) [75][2120/3757] lr: 1.0000e-03 eta: 6:18:54 time: 0.2287 data_time: 0.0225 memory: 6108 grad_norm: 8.3174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1188 loss: 1.1188 2022/07/23 10:02:56 - mmengine - INFO - Epoch(train) [75][2140/3757] lr: 1.0000e-03 eta: 6:18:49 time: 0.2366 data_time: 0.0227 memory: 6108 grad_norm: 8.4376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/07/23 10:03:01 - mmengine - INFO - Epoch(train) [75][2160/3757] lr: 1.0000e-03 eta: 6:18:44 time: 0.2387 data_time: 0.0210 memory: 6108 grad_norm: 8.8785 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4756 loss: 1.4756 2022/07/23 10:03:06 - mmengine - INFO - Epoch(train) [75][2180/3757] lr: 1.0000e-03 eta: 6:18:40 time: 0.2559 data_time: 0.0171 memory: 6108 grad_norm: 8.5713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3805 loss: 1.3805 2022/07/23 10:03:11 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 1.0000e-03 eta: 6:18:35 time: 0.2271 data_time: 0.0266 memory: 6108 grad_norm: 8.2184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3315 loss: 1.3315 2022/07/23 10:03:15 - mmengine - INFO - Epoch(train) [75][2220/3757] lr: 1.0000e-03 eta: 6:18:30 time: 0.2419 data_time: 0.0212 memory: 6108 grad_norm: 8.6870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2768 loss: 1.2768 2022/07/23 10:03:20 - mmengine - INFO - Epoch(train) [75][2240/3757] lr: 1.0000e-03 eta: 6:18:25 time: 0.2328 data_time: 0.0220 memory: 6108 grad_norm: 8.6174 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4650 loss: 1.4650 2022/07/23 10:03:25 - mmengine - INFO - Epoch(train) [75][2260/3757] lr: 1.0000e-03 eta: 6:18:20 time: 0.2303 data_time: 0.0271 memory: 6108 grad_norm: 8.6428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4123 loss: 1.4123 2022/07/23 10:03:29 - mmengine - INFO - Epoch(train) [75][2280/3757] lr: 1.0000e-03 eta: 6:18:16 time: 0.2329 data_time: 0.0245 memory: 6108 grad_norm: 8.7632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1877 loss: 1.1877 2022/07/23 10:03:34 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 1.0000e-03 eta: 6:18:11 time: 0.2477 data_time: 0.0206 memory: 6108 grad_norm: 8.5935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2611 loss: 1.2611 2022/07/23 10:03:39 - mmengine - INFO - Epoch(train) [75][2320/3757] lr: 1.0000e-03 eta: 6:18:06 time: 0.2277 data_time: 0.0213 memory: 6108 grad_norm: 8.4171 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2232 loss: 1.2232 2022/07/23 10:03:44 - mmengine - INFO - Epoch(train) [75][2340/3757] lr: 1.0000e-03 eta: 6:18:01 time: 0.2278 data_time: 0.0284 memory: 6108 grad_norm: 8.7147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2402 loss: 1.2402 2022/07/23 10:03:48 - mmengine - INFO - Epoch(train) [75][2360/3757] lr: 1.0000e-03 eta: 6:17:56 time: 0.2319 data_time: 0.0276 memory: 6108 grad_norm: 8.6281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3481 loss: 1.3481 2022/07/23 10:03:53 - mmengine - INFO - Epoch(train) [75][2380/3757] lr: 1.0000e-03 eta: 6:17:52 time: 0.2288 data_time: 0.0251 memory: 6108 grad_norm: 8.4401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5466 loss: 1.5466 2022/07/23 10:03:58 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 1.0000e-03 eta: 6:17:47 time: 0.2452 data_time: 0.0207 memory: 6108 grad_norm: 8.6380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2908 loss: 1.2908 2022/07/23 10:04:02 - mmengine - INFO - Epoch(train) [75][2420/3757] lr: 1.0000e-03 eta: 6:17:42 time: 0.2292 data_time: 0.0222 memory: 6108 grad_norm: 8.4571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/07/23 10:04:07 - mmengine - INFO - Epoch(train) [75][2440/3757] lr: 1.0000e-03 eta: 6:17:37 time: 0.2285 data_time: 0.0244 memory: 6108 grad_norm: 8.3551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2163 loss: 1.2163 2022/07/23 10:04:12 - mmengine - INFO - Epoch(train) [75][2460/3757] lr: 1.0000e-03 eta: 6:17:33 time: 0.2406 data_time: 0.0353 memory: 6108 grad_norm: 8.4934 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/07/23 10:04:17 - mmengine - INFO - Epoch(train) [75][2480/3757] lr: 1.0000e-03 eta: 6:17:28 time: 0.2386 data_time: 0.0204 memory: 6108 grad_norm: 8.5453 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/07/23 10:04:21 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 1.0000e-03 eta: 6:17:23 time: 0.2349 data_time: 0.0261 memory: 6108 grad_norm: 8.7074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/07/23 10:04:26 - mmengine - INFO - Epoch(train) [75][2520/3757] lr: 1.0000e-03 eta: 6:17:18 time: 0.2341 data_time: 0.0232 memory: 6108 grad_norm: 8.4479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/07/23 10:04:31 - mmengine - INFO - Epoch(train) [75][2540/3757] lr: 1.0000e-03 eta: 6:17:13 time: 0.2294 data_time: 0.0248 memory: 6108 grad_norm: 8.3980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3233 loss: 1.3233 2022/07/23 10:04:35 - mmengine - INFO - Epoch(train) [75][2560/3757] lr: 1.0000e-03 eta: 6:17:09 time: 0.2297 data_time: 0.0220 memory: 6108 grad_norm: 8.3726 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5893 loss: 1.5893 2022/07/23 10:04:40 - mmengine - INFO - Epoch(train) [75][2580/3757] lr: 1.0000e-03 eta: 6:17:04 time: 0.2303 data_time: 0.0277 memory: 6108 grad_norm: 8.4724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/07/23 10:04:45 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 1.0000e-03 eta: 6:16:59 time: 0.2423 data_time: 0.0327 memory: 6108 grad_norm: 8.6606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5326 loss: 1.5326 2022/07/23 10:04:50 - mmengine - INFO - Epoch(train) [75][2620/3757] lr: 1.0000e-03 eta: 6:16:54 time: 0.2368 data_time: 0.0251 memory: 6108 grad_norm: 8.4023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/07/23 10:04:54 - mmengine - INFO - Epoch(train) [75][2640/3757] lr: 1.0000e-03 eta: 6:16:50 time: 0.2426 data_time: 0.0264 memory: 6108 grad_norm: 8.4148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1642 loss: 1.1642 2022/07/23 10:04:59 - mmengine - INFO - Epoch(train) [75][2660/3757] lr: 1.0000e-03 eta: 6:16:45 time: 0.2443 data_time: 0.0189 memory: 6108 grad_norm: 8.3707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3012 loss: 1.3012 2022/07/23 10:05:04 - mmengine - INFO - Epoch(train) [75][2680/3757] lr: 1.0000e-03 eta: 6:16:40 time: 0.2246 data_time: 0.0219 memory: 6108 grad_norm: 8.7465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/23 10:05:08 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 1.0000e-03 eta: 6:16:35 time: 0.2302 data_time: 0.0236 memory: 6108 grad_norm: 8.3556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3770 loss: 1.3770 2022/07/23 10:05:13 - mmengine - INFO - Epoch(train) [75][2720/3757] lr: 1.0000e-03 eta: 6:16:30 time: 0.2327 data_time: 0.0263 memory: 6108 grad_norm: 8.4349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/07/23 10:05:18 - mmengine - INFO - Epoch(train) [75][2740/3757] lr: 1.0000e-03 eta: 6:16:26 time: 0.2511 data_time: 0.0282 memory: 6108 grad_norm: 8.5207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3311 loss: 1.3311 2022/07/23 10:05:23 - mmengine - INFO - Epoch(train) [75][2760/3757] lr: 1.0000e-03 eta: 6:16:21 time: 0.2282 data_time: 0.0263 memory: 6108 grad_norm: 8.5368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/07/23 10:05:27 - mmengine - INFO - Epoch(train) [75][2780/3757] lr: 1.0000e-03 eta: 6:16:16 time: 0.2305 data_time: 0.0180 memory: 6108 grad_norm: 8.5103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3158 loss: 1.3158 2022/07/23 10:05:32 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 1.0000e-03 eta: 6:16:11 time: 0.2326 data_time: 0.0288 memory: 6108 grad_norm: 8.5718 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3804 loss: 1.3804 2022/07/23 10:05:37 - mmengine - INFO - Epoch(train) [75][2820/3757] lr: 1.0000e-03 eta: 6:16:07 time: 0.2447 data_time: 0.0221 memory: 6108 grad_norm: 8.5174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/07/23 10:05:42 - mmengine - INFO - Epoch(train) [75][2840/3757] lr: 1.0000e-03 eta: 6:16:02 time: 0.2384 data_time: 0.0245 memory: 6108 grad_norm: 8.3133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2875 loss: 1.2875 2022/07/23 10:05:46 - mmengine - INFO - Epoch(train) [75][2860/3757] lr: 1.0000e-03 eta: 6:15:57 time: 0.2270 data_time: 0.0238 memory: 6108 grad_norm: 8.5065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3141 loss: 1.3141 2022/07/23 10:05:51 - mmengine - INFO - Epoch(train) [75][2880/3757] lr: 1.0000e-03 eta: 6:15:52 time: 0.2325 data_time: 0.0279 memory: 6108 grad_norm: 8.5372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1672 loss: 1.1672 2022/07/23 10:05:56 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 1.0000e-03 eta: 6:15:47 time: 0.2398 data_time: 0.0222 memory: 6108 grad_norm: 8.5561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3006 loss: 1.3006 2022/07/23 10:06:01 - mmengine - INFO - Epoch(train) [75][2920/3757] lr: 1.0000e-03 eta: 6:15:43 time: 0.2335 data_time: 0.0346 memory: 6108 grad_norm: 8.2781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2877 loss: 1.2877 2022/07/23 10:06:05 - mmengine - INFO - Epoch(train) [75][2940/3757] lr: 1.0000e-03 eta: 6:15:38 time: 0.2403 data_time: 0.0297 memory: 6108 grad_norm: 8.5616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2058 loss: 1.2058 2022/07/23 10:06:10 - mmengine - INFO - Epoch(train) [75][2960/3757] lr: 1.0000e-03 eta: 6:15:33 time: 0.2332 data_time: 0.0225 memory: 6108 grad_norm: 8.3475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1834 loss: 1.1834 2022/07/23 10:06:15 - mmengine - INFO - Epoch(train) [75][2980/3757] lr: 1.0000e-03 eta: 6:15:28 time: 0.2330 data_time: 0.0255 memory: 6108 grad_norm: 8.6368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2965 loss: 1.2965 2022/07/23 10:06:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:06:20 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 1.0000e-03 eta: 6:15:24 time: 0.2357 data_time: 0.0317 memory: 6108 grad_norm: 8.5785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/07/23 10:06:24 - mmengine - INFO - Epoch(train) [75][3020/3757] lr: 1.0000e-03 eta: 6:15:19 time: 0.2316 data_time: 0.0238 memory: 6108 grad_norm: 8.4497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/07/23 10:06:29 - mmengine - INFO - Epoch(train) [75][3040/3757] lr: 1.0000e-03 eta: 6:15:14 time: 0.2332 data_time: 0.0242 memory: 6108 grad_norm: 8.3741 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4613 loss: 1.4613 2022/07/23 10:06:34 - mmengine - INFO - Epoch(train) [75][3060/3757] lr: 1.0000e-03 eta: 6:15:09 time: 0.2381 data_time: 0.0245 memory: 6108 grad_norm: 8.2885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3382 loss: 1.3382 2022/07/23 10:06:38 - mmengine - INFO - Epoch(train) [75][3080/3757] lr: 1.0000e-03 eta: 6:15:04 time: 0.2259 data_time: 0.0236 memory: 6108 grad_norm: 8.4014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0992 loss: 1.0992 2022/07/23 10:06:43 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 1.0000e-03 eta: 6:15:00 time: 0.2314 data_time: 0.0289 memory: 6108 grad_norm: 8.3662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/07/23 10:06:48 - mmengine - INFO - Epoch(train) [75][3120/3757] lr: 1.0000e-03 eta: 6:14:55 time: 0.2357 data_time: 0.0216 memory: 6108 grad_norm: 8.6886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/07/23 10:06:53 - mmengine - INFO - Epoch(train) [75][3140/3757] lr: 1.0000e-03 eta: 6:14:50 time: 0.2429 data_time: 0.0195 memory: 6108 grad_norm: 8.5669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1651 loss: 1.1651 2022/07/23 10:06:57 - mmengine - INFO - Epoch(train) [75][3160/3757] lr: 1.0000e-03 eta: 6:14:45 time: 0.2297 data_time: 0.0246 memory: 6108 grad_norm: 8.7345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/07/23 10:07:02 - mmengine - INFO - Epoch(train) [75][3180/3757] lr: 1.0000e-03 eta: 6:14:41 time: 0.2302 data_time: 0.0226 memory: 6108 grad_norm: 8.5964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1608 loss: 1.1608 2022/07/23 10:07:07 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 1.0000e-03 eta: 6:14:36 time: 0.2364 data_time: 0.0232 memory: 6108 grad_norm: 8.3276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1010 loss: 1.1010 2022/07/23 10:07:11 - mmengine - INFO - Epoch(train) [75][3220/3757] lr: 1.0000e-03 eta: 6:14:31 time: 0.2267 data_time: 0.0218 memory: 6108 grad_norm: 8.6058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0867 loss: 1.0867 2022/07/23 10:07:16 - mmengine - INFO - Epoch(train) [75][3240/3757] lr: 1.0000e-03 eta: 6:14:26 time: 0.2347 data_time: 0.0234 memory: 6108 grad_norm: 8.8547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1472 loss: 1.1472 2022/07/23 10:07:20 - mmengine - INFO - Epoch(train) [75][3260/3757] lr: 1.0000e-03 eta: 6:14:21 time: 0.2299 data_time: 0.0270 memory: 6108 grad_norm: 8.6432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2769 loss: 1.2769 2022/07/23 10:07:25 - mmengine - INFO - Epoch(train) [75][3280/3757] lr: 1.0000e-03 eta: 6:14:17 time: 0.2405 data_time: 0.0267 memory: 6108 grad_norm: 8.4428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/07/23 10:07:30 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 1.0000e-03 eta: 6:14:12 time: 0.2277 data_time: 0.0198 memory: 6108 grad_norm: 8.6445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2845 loss: 1.2845 2022/07/23 10:07:34 - mmengine - INFO - Epoch(train) [75][3320/3757] lr: 1.0000e-03 eta: 6:14:07 time: 0.2294 data_time: 0.0226 memory: 6108 grad_norm: 8.5719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3508 loss: 1.3508 2022/07/23 10:07:39 - mmengine - INFO - Epoch(train) [75][3340/3757] lr: 1.0000e-03 eta: 6:14:02 time: 0.2361 data_time: 0.0246 memory: 6108 grad_norm: 8.5804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/07/23 10:07:44 - mmengine - INFO - Epoch(train) [75][3360/3757] lr: 1.0000e-03 eta: 6:13:57 time: 0.2325 data_time: 0.0233 memory: 6108 grad_norm: 8.2147 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2604 loss: 1.2604 2022/07/23 10:07:48 - mmengine - INFO - Epoch(train) [75][3380/3757] lr: 1.0000e-03 eta: 6:13:53 time: 0.2257 data_time: 0.0238 memory: 6108 grad_norm: 8.5330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3593 loss: 1.3593 2022/07/23 10:07:53 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 1.0000e-03 eta: 6:13:48 time: 0.2306 data_time: 0.0241 memory: 6108 grad_norm: 8.5270 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0923 loss: 1.0923 2022/07/23 10:07:58 - mmengine - INFO - Epoch(train) [75][3420/3757] lr: 1.0000e-03 eta: 6:13:43 time: 0.2378 data_time: 0.0225 memory: 6108 grad_norm: 8.6700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1265 loss: 1.1265 2022/07/23 10:08:02 - mmengine - INFO - Epoch(train) [75][3440/3757] lr: 1.0000e-03 eta: 6:13:38 time: 0.2269 data_time: 0.0226 memory: 6108 grad_norm: 8.2352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/07/23 10:08:07 - mmengine - INFO - Epoch(train) [75][3460/3757] lr: 1.0000e-03 eta: 6:13:33 time: 0.2404 data_time: 0.0267 memory: 6108 grad_norm: 9.0999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5135 loss: 1.5135 2022/07/23 10:08:12 - mmengine - INFO - Epoch(train) [75][3480/3757] lr: 1.0000e-03 eta: 6:13:29 time: 0.2271 data_time: 0.0208 memory: 6108 grad_norm: 8.6558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2921 loss: 1.2921 2022/07/23 10:08:17 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 1.0000e-03 eta: 6:13:24 time: 0.2343 data_time: 0.0200 memory: 6108 grad_norm: 8.7814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/07/23 10:08:21 - mmengine - INFO - Epoch(train) [75][3520/3757] lr: 1.0000e-03 eta: 6:13:19 time: 0.2307 data_time: 0.0293 memory: 6108 grad_norm: 8.6964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2939 loss: 1.2939 2022/07/23 10:08:26 - mmengine - INFO - Epoch(train) [75][3540/3757] lr: 1.0000e-03 eta: 6:13:14 time: 0.2360 data_time: 0.0183 memory: 6108 grad_norm: 8.4546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2380 loss: 1.2380 2022/07/23 10:08:31 - mmengine - INFO - Epoch(train) [75][3560/3757] lr: 1.0000e-03 eta: 6:13:09 time: 0.2292 data_time: 0.0207 memory: 6108 grad_norm: 8.5466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/07/23 10:08:35 - mmengine - INFO - Epoch(train) [75][3580/3757] lr: 1.0000e-03 eta: 6:13:05 time: 0.2352 data_time: 0.0322 memory: 6108 grad_norm: 8.2462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9504 loss: 0.9504 2022/07/23 10:08:40 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 1.0000e-03 eta: 6:13:00 time: 0.2306 data_time: 0.0281 memory: 6108 grad_norm: 8.2583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/23 10:08:45 - mmengine - INFO - Epoch(train) [75][3620/3757] lr: 1.0000e-03 eta: 6:12:55 time: 0.2386 data_time: 0.0171 memory: 6108 grad_norm: 8.3795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0611 loss: 1.0611 2022/07/23 10:08:49 - mmengine - INFO - Epoch(train) [75][3640/3757] lr: 1.0000e-03 eta: 6:12:50 time: 0.2268 data_time: 0.0240 memory: 6108 grad_norm: 8.0996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/07/23 10:08:54 - mmengine - INFO - Epoch(train) [75][3660/3757] lr: 1.0000e-03 eta: 6:12:45 time: 0.2362 data_time: 0.0225 memory: 6108 grad_norm: 8.5956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1315 loss: 1.1315 2022/07/23 10:08:59 - mmengine - INFO - Epoch(train) [75][3680/3757] lr: 1.0000e-03 eta: 6:12:41 time: 0.2287 data_time: 0.0243 memory: 6108 grad_norm: 8.7125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6529 loss: 1.6529 2022/07/23 10:09:03 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 1.0000e-03 eta: 6:12:36 time: 0.2357 data_time: 0.0219 memory: 6108 grad_norm: 8.1780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0531 loss: 1.0531 2022/07/23 10:09:08 - mmengine - INFO - Epoch(train) [75][3720/3757] lr: 1.0000e-03 eta: 6:12:31 time: 0.2334 data_time: 0.0273 memory: 6108 grad_norm: 8.0867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/07/23 10:09:13 - mmengine - INFO - Epoch(train) [75][3740/3757] lr: 1.0000e-03 eta: 6:12:26 time: 0.2647 data_time: 0.0165 memory: 6108 grad_norm: 8.4538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1460 loss: 1.1460 2022/07/23 10:09:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:09:17 - mmengine - INFO - Epoch(train) [75][3757/3757] lr: 1.0000e-03 eta: 6:12:26 time: 0.2149 data_time: 0.0199 memory: 6108 grad_norm: 8.7148 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2893 loss: 1.2893 2022/07/23 10:09:17 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/07/23 10:09:26 - mmengine - INFO - Epoch(val) [75][20/310] eta: 0:01:22 time: 0.2851 data_time: 0.2060 memory: 1428 2022/07/23 10:09:29 - mmengine - INFO - Epoch(val) [75][40/310] eta: 0:00:48 time: 0.1807 data_time: 0.1032 memory: 1428 2022/07/23 10:09:35 - mmengine - INFO - Epoch(val) [75][60/310] eta: 0:01:04 time: 0.2572 data_time: 0.1691 memory: 1428 2022/07/23 10:09:38 - mmengine - INFO - Epoch(val) [75][80/310] eta: 0:00:44 time: 0.1941 data_time: 0.1187 memory: 1428 2022/07/23 10:09:43 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:00:43 time: 0.2094 data_time: 0.1363 memory: 1428 2022/07/23 10:09:47 - mmengine - INFO - Epoch(val) [75][120/310] eta: 0:00:39 time: 0.2054 data_time: 0.1284 memory: 1428 2022/07/23 10:09:52 - mmengine - INFO - Epoch(val) [75][140/310] eta: 0:00:40 time: 0.2399 data_time: 0.1656 memory: 1428 2022/07/23 10:09:56 - mmengine - INFO - Epoch(val) [75][160/310] eta: 0:00:30 time: 0.2062 data_time: 0.1245 memory: 1428 2022/07/23 10:10:00 - mmengine - INFO - Epoch(val) [75][180/310] eta: 0:00:29 time: 0.2232 data_time: 0.1493 memory: 1428 2022/07/23 10:10:04 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:00:21 time: 0.1919 data_time: 0.1178 memory: 1428 2022/07/23 10:10:08 - mmengine - INFO - Epoch(val) [75][220/310] eta: 0:00:19 time: 0.2138 data_time: 0.1360 memory: 1428 2022/07/23 10:10:12 - mmengine - INFO - Epoch(val) [75][240/310] eta: 0:00:13 time: 0.1897 data_time: 0.1132 memory: 1428 2022/07/23 10:10:17 - mmengine - INFO - Epoch(val) [75][260/310] eta: 0:00:11 time: 0.2302 data_time: 0.1410 memory: 1428 2022/07/23 10:10:21 - mmengine - INFO - Epoch(val) [75][280/310] eta: 0:00:06 time: 0.2011 data_time: 0.1241 memory: 1428 2022/07/23 10:10:24 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:01 time: 0.1567 data_time: 0.0992 memory: 1428 2022/07/23 10:10:26 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.6535 acc/top5: 0.8602 acc/mean1: 0.6534 2022/07/23 10:10:33 - mmengine - INFO - Epoch(train) [76][20/3757] lr: 1.0000e-03 eta: 6:12:17 time: 0.3367 data_time: 0.0906 memory: 6108 grad_norm: 8.4661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0454 loss: 1.0454 2022/07/23 10:10:38 - mmengine - INFO - Epoch(train) [76][40/3757] lr: 1.0000e-03 eta: 6:12:12 time: 0.2408 data_time: 0.0202 memory: 6108 grad_norm: 8.4081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/23 10:10:43 - mmengine - INFO - Epoch(train) [76][60/3757] lr: 1.0000e-03 eta: 6:12:08 time: 0.2402 data_time: 0.0239 memory: 6108 grad_norm: 8.2401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2886 loss: 1.2886 2022/07/23 10:10:47 - mmengine - INFO - Epoch(train) [76][80/3757] lr: 1.0000e-03 eta: 6:12:03 time: 0.2379 data_time: 0.0238 memory: 6108 grad_norm: 8.4376 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3204 loss: 1.3204 2022/07/23 10:10:52 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 1.0000e-03 eta: 6:11:58 time: 0.2325 data_time: 0.0285 memory: 6108 grad_norm: 8.4319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4448 loss: 1.4448 2022/07/23 10:10:57 - mmengine - INFO - Epoch(train) [76][120/3757] lr: 1.0000e-03 eta: 6:11:53 time: 0.2319 data_time: 0.0230 memory: 6108 grad_norm: 8.3637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3958 loss: 1.3958 2022/07/23 10:11:01 - mmengine - INFO - Epoch(train) [76][140/3757] lr: 1.0000e-03 eta: 6:11:48 time: 0.2277 data_time: 0.0255 memory: 6108 grad_norm: 8.6421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2312 loss: 1.2312 2022/07/23 10:11:06 - mmengine - INFO - Epoch(train) [76][160/3757] lr: 1.0000e-03 eta: 6:11:44 time: 0.2454 data_time: 0.0274 memory: 6108 grad_norm: 8.3703 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/07/23 10:11:11 - mmengine - INFO - Epoch(train) [76][180/3757] lr: 1.0000e-03 eta: 6:11:39 time: 0.2550 data_time: 0.0254 memory: 6108 grad_norm: 8.5450 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/07/23 10:11:16 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 1.0000e-03 eta: 6:11:34 time: 0.2463 data_time: 0.0230 memory: 6108 grad_norm: 8.3219 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1422 loss: 1.1422 2022/07/23 10:11:21 - mmengine - INFO - Epoch(train) [76][220/3757] lr: 1.0000e-03 eta: 6:11:29 time: 0.2274 data_time: 0.0254 memory: 6108 grad_norm: 8.3417 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/07/23 10:11:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:11:26 - mmengine - INFO - Epoch(train) [76][240/3757] lr: 1.0000e-03 eta: 6:11:25 time: 0.2335 data_time: 0.0203 memory: 6108 grad_norm: 8.6168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/07/23 10:11:30 - mmengine - INFO - Epoch(train) [76][260/3757] lr: 1.0000e-03 eta: 6:11:20 time: 0.2282 data_time: 0.0287 memory: 6108 grad_norm: 8.5032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/07/23 10:11:35 - mmengine - INFO - Epoch(train) [76][280/3757] lr: 1.0000e-03 eta: 6:11:15 time: 0.2339 data_time: 0.0267 memory: 6108 grad_norm: 8.8373 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3666 loss: 1.3666 2022/07/23 10:11:40 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 1.0000e-03 eta: 6:11:10 time: 0.2283 data_time: 0.0205 memory: 6108 grad_norm: 8.8556 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3174 loss: 1.3174 2022/07/23 10:11:44 - mmengine - INFO - Epoch(train) [76][320/3757] lr: 1.0000e-03 eta: 6:11:06 time: 0.2404 data_time: 0.0224 memory: 6108 grad_norm: 8.2413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3590 loss: 1.3590 2022/07/23 10:11:49 - mmengine - INFO - Epoch(train) [76][340/3757] lr: 1.0000e-03 eta: 6:11:01 time: 0.2342 data_time: 0.0230 memory: 6108 grad_norm: 8.7604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/07/23 10:11:54 - mmengine - INFO - Epoch(train) [76][360/3757] lr: 1.0000e-03 eta: 6:10:56 time: 0.2365 data_time: 0.0208 memory: 6108 grad_norm: 8.6834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3596 loss: 1.3596 2022/07/23 10:11:58 - mmengine - INFO - Epoch(train) [76][380/3757] lr: 1.0000e-03 eta: 6:10:51 time: 0.2285 data_time: 0.0197 memory: 6108 grad_norm: 8.4484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/07/23 10:12:03 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 1.0000e-03 eta: 6:10:46 time: 0.2343 data_time: 0.0262 memory: 6108 grad_norm: 8.6741 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3686 loss: 1.3686 2022/07/23 10:12:08 - mmengine - INFO - Epoch(train) [76][420/3757] lr: 1.0000e-03 eta: 6:10:42 time: 0.2349 data_time: 0.0194 memory: 6108 grad_norm: 8.3587 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2611 loss: 1.2611 2022/07/23 10:12:13 - mmengine - INFO - Epoch(train) [76][440/3757] lr: 1.0000e-03 eta: 6:10:37 time: 0.2310 data_time: 0.0242 memory: 6108 grad_norm: 8.2754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2417 loss: 1.2417 2022/07/23 10:12:17 - mmengine - INFO - Epoch(train) [76][460/3757] lr: 1.0000e-03 eta: 6:10:32 time: 0.2301 data_time: 0.0274 memory: 6108 grad_norm: 8.5246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/07/23 10:12:22 - mmengine - INFO - Epoch(train) [76][480/3757] lr: 1.0000e-03 eta: 6:10:27 time: 0.2296 data_time: 0.0232 memory: 6108 grad_norm: 8.7321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4224 loss: 1.4224 2022/07/23 10:12:27 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 1.0000e-03 eta: 6:10:22 time: 0.2388 data_time: 0.0224 memory: 6108 grad_norm: 8.6161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7326 loss: 1.7326 2022/07/23 10:12:31 - mmengine - INFO - Epoch(train) [76][520/3757] lr: 1.0000e-03 eta: 6:10:18 time: 0.2339 data_time: 0.0245 memory: 6108 grad_norm: 8.4779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3291 loss: 1.3291 2022/07/23 10:12:36 - mmengine - INFO - Epoch(train) [76][540/3757] lr: 1.0000e-03 eta: 6:10:13 time: 0.2366 data_time: 0.0212 memory: 6108 grad_norm: 8.6812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/07/23 10:12:41 - mmengine - INFO - Epoch(train) [76][560/3757] lr: 1.0000e-03 eta: 6:10:08 time: 0.2245 data_time: 0.0202 memory: 6108 grad_norm: 8.7815 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3920 loss: 1.3920 2022/07/23 10:12:45 - mmengine - INFO - Epoch(train) [76][580/3757] lr: 1.0000e-03 eta: 6:10:03 time: 0.2363 data_time: 0.0259 memory: 6108 grad_norm: 8.4284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4215 loss: 1.4215 2022/07/23 10:12:50 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 1.0000e-03 eta: 6:09:58 time: 0.2279 data_time: 0.0302 memory: 6108 grad_norm: 8.6681 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2337 loss: 1.2337 2022/07/23 10:12:55 - mmengine - INFO - Epoch(train) [76][620/3757] lr: 1.0000e-03 eta: 6:09:54 time: 0.2291 data_time: 0.0210 memory: 6108 grad_norm: 8.5301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4208 loss: 1.4208 2022/07/23 10:12:59 - mmengine - INFO - Epoch(train) [76][640/3757] lr: 1.0000e-03 eta: 6:09:49 time: 0.2336 data_time: 0.0248 memory: 6108 grad_norm: 8.4229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/07/23 10:13:04 - mmengine - INFO - Epoch(train) [76][660/3757] lr: 1.0000e-03 eta: 6:09:44 time: 0.2311 data_time: 0.0186 memory: 6108 grad_norm: 8.3536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/07/23 10:13:08 - mmengine - INFO - Epoch(train) [76][680/3757] lr: 1.0000e-03 eta: 6:09:39 time: 0.2311 data_time: 0.0182 memory: 6108 grad_norm: 8.2949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0757 loss: 1.0757 2022/07/23 10:13:13 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 1.0000e-03 eta: 6:09:34 time: 0.2302 data_time: 0.0238 memory: 6108 grad_norm: 8.9812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3114 loss: 1.3114 2022/07/23 10:13:18 - mmengine - INFO - Epoch(train) [76][720/3757] lr: 1.0000e-03 eta: 6:09:30 time: 0.2359 data_time: 0.0218 memory: 6108 grad_norm: 8.5075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/07/23 10:13:23 - mmengine - INFO - Epoch(train) [76][740/3757] lr: 1.0000e-03 eta: 6:09:25 time: 0.2303 data_time: 0.0211 memory: 6108 grad_norm: 8.3492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1941 loss: 1.1941 2022/07/23 10:13:27 - mmengine - INFO - Epoch(train) [76][760/3757] lr: 1.0000e-03 eta: 6:09:20 time: 0.2325 data_time: 0.0241 memory: 6108 grad_norm: 8.4850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5929 loss: 1.5929 2022/07/23 10:13:32 - mmengine - INFO - Epoch(train) [76][780/3757] lr: 1.0000e-03 eta: 6:09:15 time: 0.2331 data_time: 0.0187 memory: 6108 grad_norm: 8.9609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4588 loss: 1.4588 2022/07/23 10:13:37 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 1.0000e-03 eta: 6:09:10 time: 0.2363 data_time: 0.0241 memory: 6108 grad_norm: 8.2199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0857 loss: 1.0857 2022/07/23 10:13:41 - mmengine - INFO - Epoch(train) [76][820/3757] lr: 1.0000e-03 eta: 6:09:06 time: 0.2318 data_time: 0.0308 memory: 6108 grad_norm: 8.5121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2875 loss: 1.2875 2022/07/23 10:13:46 - mmengine - INFO - Epoch(train) [76][840/3757] lr: 1.0000e-03 eta: 6:09:01 time: 0.2310 data_time: 0.0212 memory: 6108 grad_norm: 8.3812 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/07/23 10:13:51 - mmengine - INFO - Epoch(train) [76][860/3757] lr: 1.0000e-03 eta: 6:08:56 time: 0.2327 data_time: 0.0311 memory: 6108 grad_norm: 8.5681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2379 loss: 1.2379 2022/07/23 10:13:55 - mmengine - INFO - Epoch(train) [76][880/3757] lr: 1.0000e-03 eta: 6:08:51 time: 0.2382 data_time: 0.0260 memory: 6108 grad_norm: 8.4093 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1997 loss: 1.1997 2022/07/23 10:14:00 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 1.0000e-03 eta: 6:08:47 time: 0.2265 data_time: 0.0259 memory: 6108 grad_norm: 8.5742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4044 loss: 1.4044 2022/07/23 10:14:05 - mmengine - INFO - Epoch(train) [76][920/3757] lr: 1.0000e-03 eta: 6:08:42 time: 0.2425 data_time: 0.0185 memory: 6108 grad_norm: 8.4727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1373 loss: 1.1373 2022/07/23 10:14:09 - mmengine - INFO - Epoch(train) [76][940/3757] lr: 1.0000e-03 eta: 6:08:37 time: 0.2302 data_time: 0.0217 memory: 6108 grad_norm: 8.8271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1944 loss: 1.1944 2022/07/23 10:14:14 - mmengine - INFO - Epoch(train) [76][960/3757] lr: 1.0000e-03 eta: 6:08:32 time: 0.2429 data_time: 0.0210 memory: 6108 grad_norm: 8.5607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0153 loss: 1.0153 2022/07/23 10:14:19 - mmengine - INFO - Epoch(train) [76][980/3757] lr: 1.0000e-03 eta: 6:08:27 time: 0.2251 data_time: 0.0215 memory: 6108 grad_norm: 8.9526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/07/23 10:14:24 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 1.0000e-03 eta: 6:08:23 time: 0.2309 data_time: 0.0290 memory: 6108 grad_norm: 8.7189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4111 loss: 1.4111 2022/07/23 10:14:28 - mmengine - INFO - Epoch(train) [76][1020/3757] lr: 1.0000e-03 eta: 6:08:18 time: 0.2339 data_time: 0.0166 memory: 6108 grad_norm: 8.3898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2500 loss: 1.2500 2022/07/23 10:14:33 - mmengine - INFO - Epoch(train) [76][1040/3757] lr: 1.0000e-03 eta: 6:08:13 time: 0.2306 data_time: 0.0258 memory: 6108 grad_norm: 8.6420 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4390 loss: 1.4390 2022/07/23 10:14:38 - mmengine - INFO - Epoch(train) [76][1060/3757] lr: 1.0000e-03 eta: 6:08:08 time: 0.2425 data_time: 0.0308 memory: 6108 grad_norm: 8.6363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/07/23 10:14:43 - mmengine - INFO - Epoch(train) [76][1080/3757] lr: 1.0000e-03 eta: 6:08:04 time: 0.2681 data_time: 0.0158 memory: 6108 grad_norm: 8.2713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2984 loss: 1.2984 2022/07/23 10:14:48 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 1.0000e-03 eta: 6:07:59 time: 0.2321 data_time: 0.0208 memory: 6108 grad_norm: 8.1906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/07/23 10:14:52 - mmengine - INFO - Epoch(train) [76][1120/3757] lr: 1.0000e-03 eta: 6:07:54 time: 0.2306 data_time: 0.0294 memory: 6108 grad_norm: 8.6682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4894 loss: 1.4894 2022/07/23 10:14:57 - mmengine - INFO - Epoch(train) [76][1140/3757] lr: 1.0000e-03 eta: 6:07:49 time: 0.2310 data_time: 0.0255 memory: 6108 grad_norm: 8.2721 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1766 loss: 1.1766 2022/07/23 10:15:02 - mmengine - INFO - Epoch(train) [76][1160/3757] lr: 1.0000e-03 eta: 6:07:45 time: 0.2304 data_time: 0.0223 memory: 6108 grad_norm: 8.3788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2759 loss: 1.2759 2022/07/23 10:15:07 - mmengine - INFO - Epoch(train) [76][1180/3757] lr: 1.0000e-03 eta: 6:07:40 time: 0.2418 data_time: 0.0165 memory: 6108 grad_norm: 8.6532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/07/23 10:15:11 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 1.0000e-03 eta: 6:07:35 time: 0.2336 data_time: 0.0249 memory: 6108 grad_norm: 9.0113 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6238 loss: 1.6238 2022/07/23 10:15:16 - mmengine - INFO - Epoch(train) [76][1220/3757] lr: 1.0000e-03 eta: 6:07:30 time: 0.2283 data_time: 0.0235 memory: 6108 grad_norm: 8.4993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2388 loss: 1.2388 2022/07/23 10:15:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:15:21 - mmengine - INFO - Epoch(train) [76][1240/3757] lr: 1.0000e-03 eta: 6:07:25 time: 0.2304 data_time: 0.0228 memory: 6108 grad_norm: 8.7836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3976 loss: 1.3976 2022/07/23 10:15:25 - mmengine - INFO - Epoch(train) [76][1260/3757] lr: 1.0000e-03 eta: 6:07:21 time: 0.2404 data_time: 0.0223 memory: 6108 grad_norm: 8.2871 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2544 loss: 1.2544 2022/07/23 10:15:30 - mmengine - INFO - Epoch(train) [76][1280/3757] lr: 1.0000e-03 eta: 6:07:16 time: 0.2323 data_time: 0.0251 memory: 6108 grad_norm: 8.5464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3821 loss: 1.3821 2022/07/23 10:15:35 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 1.0000e-03 eta: 6:07:11 time: 0.2325 data_time: 0.0195 memory: 6108 grad_norm: 8.6311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4670 loss: 1.4670 2022/07/23 10:15:39 - mmengine - INFO - Epoch(train) [76][1320/3757] lr: 1.0000e-03 eta: 6:07:06 time: 0.2323 data_time: 0.0245 memory: 6108 grad_norm: 8.4533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2973 loss: 1.2973 2022/07/23 10:15:44 - mmengine - INFO - Epoch(train) [76][1340/3757] lr: 1.0000e-03 eta: 6:07:01 time: 0.2307 data_time: 0.0263 memory: 6108 grad_norm: 8.4408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2782 loss: 1.2782 2022/07/23 10:15:49 - mmengine - INFO - Epoch(train) [76][1360/3757] lr: 1.0000e-03 eta: 6:06:57 time: 0.2366 data_time: 0.0288 memory: 6108 grad_norm: 8.7095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4015 loss: 1.4015 2022/07/23 10:15:53 - mmengine - INFO - Epoch(train) [76][1380/3757] lr: 1.0000e-03 eta: 6:06:52 time: 0.2256 data_time: 0.0214 memory: 6108 grad_norm: 8.5047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3489 loss: 1.3489 2022/07/23 10:15:58 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 1.0000e-03 eta: 6:06:47 time: 0.2435 data_time: 0.0271 memory: 6108 grad_norm: 8.5700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/07/23 10:16:03 - mmengine - INFO - Epoch(train) [76][1420/3757] lr: 1.0000e-03 eta: 6:06:42 time: 0.2294 data_time: 0.0266 memory: 6108 grad_norm: 8.5771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5112 loss: 1.5112 2022/07/23 10:16:07 - mmengine - INFO - Epoch(train) [76][1440/3757] lr: 1.0000e-03 eta: 6:06:38 time: 0.2302 data_time: 0.0206 memory: 6108 grad_norm: 8.4208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3295 loss: 1.3295 2022/07/23 10:16:12 - mmengine - INFO - Epoch(train) [76][1460/3757] lr: 1.0000e-03 eta: 6:06:33 time: 0.2277 data_time: 0.0240 memory: 6108 grad_norm: 8.4355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/07/23 10:16:17 - mmengine - INFO - Epoch(train) [76][1480/3757] lr: 1.0000e-03 eta: 6:06:28 time: 0.2383 data_time: 0.0261 memory: 6108 grad_norm: 8.2697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2102 loss: 1.2102 2022/07/23 10:16:21 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 1.0000e-03 eta: 6:06:23 time: 0.2289 data_time: 0.0239 memory: 6108 grad_norm: 8.6857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3345 loss: 1.3345 2022/07/23 10:16:26 - mmengine - INFO - Epoch(train) [76][1520/3757] lr: 1.0000e-03 eta: 6:06:18 time: 0.2390 data_time: 0.0311 memory: 6108 grad_norm: 8.8439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3794 loss: 1.3794 2022/07/23 10:16:31 - mmengine - INFO - Epoch(train) [76][1540/3757] lr: 1.0000e-03 eta: 6:06:14 time: 0.2287 data_time: 0.0246 memory: 6108 grad_norm: 8.5114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0720 loss: 1.0720 2022/07/23 10:16:36 - mmengine - INFO - Epoch(train) [76][1560/3757] lr: 1.0000e-03 eta: 6:06:09 time: 0.2668 data_time: 0.0162 memory: 6108 grad_norm: 8.5770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2679 loss: 1.2679 2022/07/23 10:16:41 - mmengine - INFO - Epoch(train) [76][1580/3757] lr: 1.0000e-03 eta: 6:06:04 time: 0.2277 data_time: 0.0292 memory: 6108 grad_norm: 8.5697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/07/23 10:16:46 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 1.0000e-03 eta: 6:05:59 time: 0.2348 data_time: 0.0246 memory: 6108 grad_norm: 8.6629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1800 loss: 1.1800 2022/07/23 10:16:50 - mmengine - INFO - Epoch(train) [76][1620/3757] lr: 1.0000e-03 eta: 6:05:55 time: 0.2310 data_time: 0.0320 memory: 6108 grad_norm: 8.7758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/07/23 10:16:55 - mmengine - INFO - Epoch(train) [76][1640/3757] lr: 1.0000e-03 eta: 6:05:50 time: 0.2294 data_time: 0.0298 memory: 6108 grad_norm: 8.6547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2231 loss: 1.2231 2022/07/23 10:16:59 - mmengine - INFO - Epoch(train) [76][1660/3757] lr: 1.0000e-03 eta: 6:05:45 time: 0.2335 data_time: 0.0306 memory: 6108 grad_norm: 8.2025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0835 loss: 1.0835 2022/07/23 10:17:04 - mmengine - INFO - Epoch(train) [76][1680/3757] lr: 1.0000e-03 eta: 6:05:40 time: 0.2423 data_time: 0.0184 memory: 6108 grad_norm: 8.6614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2463 loss: 1.2463 2022/07/23 10:17:09 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 1.0000e-03 eta: 6:05:35 time: 0.2264 data_time: 0.0285 memory: 6108 grad_norm: 8.2859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2567 loss: 1.2567 2022/07/23 10:17:13 - mmengine - INFO - Epoch(train) [76][1720/3757] lr: 1.0000e-03 eta: 6:05:31 time: 0.2254 data_time: 0.0274 memory: 6108 grad_norm: 8.4042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3962 loss: 1.3962 2022/07/23 10:17:18 - mmengine - INFO - Epoch(train) [76][1740/3757] lr: 1.0000e-03 eta: 6:05:26 time: 0.2274 data_time: 0.0197 memory: 6108 grad_norm: 8.7321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/07/23 10:17:23 - mmengine - INFO - Epoch(train) [76][1760/3757] lr: 1.0000e-03 eta: 6:05:21 time: 0.2331 data_time: 0.0255 memory: 6108 grad_norm: 8.2897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2469 loss: 1.2469 2022/07/23 10:17:27 - mmengine - INFO - Epoch(train) [76][1780/3757] lr: 1.0000e-03 eta: 6:05:16 time: 0.2338 data_time: 0.0241 memory: 6108 grad_norm: 8.2556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/07/23 10:17:32 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 1.0000e-03 eta: 6:05:11 time: 0.2299 data_time: 0.0271 memory: 6108 grad_norm: 8.3980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1857 loss: 1.1857 2022/07/23 10:17:37 - mmengine - INFO - Epoch(train) [76][1820/3757] lr: 1.0000e-03 eta: 6:05:07 time: 0.2368 data_time: 0.0239 memory: 6108 grad_norm: 8.5518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3154 loss: 1.3154 2022/07/23 10:17:41 - mmengine - INFO - Epoch(train) [76][1840/3757] lr: 1.0000e-03 eta: 6:05:02 time: 0.2309 data_time: 0.0213 memory: 6108 grad_norm: 7.7767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/07/23 10:17:47 - mmengine - INFO - Epoch(train) [76][1860/3757] lr: 1.0000e-03 eta: 6:04:57 time: 0.2578 data_time: 0.0172 memory: 6108 grad_norm: 8.5702 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4041 loss: 1.4041 2022/07/23 10:17:51 - mmengine - INFO - Epoch(train) [76][1880/3757] lr: 1.0000e-03 eta: 6:04:52 time: 0.2363 data_time: 0.0220 memory: 6108 grad_norm: 8.6547 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3528 loss: 1.3528 2022/07/23 10:17:56 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 1.0000e-03 eta: 6:04:48 time: 0.2500 data_time: 0.0196 memory: 6108 grad_norm: 8.8827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5142 loss: 1.5142 2022/07/23 10:18:01 - mmengine - INFO - Epoch(train) [76][1920/3757] lr: 1.0000e-03 eta: 6:04:43 time: 0.2310 data_time: 0.0192 memory: 6108 grad_norm: 8.4378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3922 loss: 1.3922 2022/07/23 10:18:06 - mmengine - INFO - Epoch(train) [76][1940/3757] lr: 1.0000e-03 eta: 6:04:38 time: 0.2279 data_time: 0.0223 memory: 6108 grad_norm: 8.5808 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3123 loss: 1.3123 2022/07/23 10:18:10 - mmengine - INFO - Epoch(train) [76][1960/3757] lr: 1.0000e-03 eta: 6:04:33 time: 0.2248 data_time: 0.0259 memory: 6108 grad_norm: 8.4427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2919 loss: 1.2919 2022/07/23 10:18:15 - mmengine - INFO - Epoch(train) [76][1980/3757] lr: 1.0000e-03 eta: 6:04:29 time: 0.2475 data_time: 0.0276 memory: 6108 grad_norm: 9.0908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/07/23 10:18:20 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 1.0000e-03 eta: 6:04:24 time: 0.2332 data_time: 0.0255 memory: 6108 grad_norm: 8.8667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4897 loss: 1.4897 2022/07/23 10:18:24 - mmengine - INFO - Epoch(train) [76][2020/3757] lr: 1.0000e-03 eta: 6:04:19 time: 0.2312 data_time: 0.0232 memory: 6108 grad_norm: 8.9061 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5543 loss: 1.5543 2022/07/23 10:18:29 - mmengine - INFO - Epoch(train) [76][2040/3757] lr: 1.0000e-03 eta: 6:04:14 time: 0.2369 data_time: 0.0181 memory: 6108 grad_norm: 8.3028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/07/23 10:18:34 - mmengine - INFO - Epoch(train) [76][2060/3757] lr: 1.0000e-03 eta: 6:04:09 time: 0.2299 data_time: 0.0227 memory: 6108 grad_norm: 8.6669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5817 loss: 1.5817 2022/07/23 10:18:39 - mmengine - INFO - Epoch(train) [76][2080/3757] lr: 1.0000e-03 eta: 6:04:05 time: 0.2516 data_time: 0.0170 memory: 6108 grad_norm: 8.6405 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2253 loss: 1.2253 2022/07/23 10:18:44 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 1.0000e-03 eta: 6:04:00 time: 0.2345 data_time: 0.0264 memory: 6108 grad_norm: 8.3381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1168 loss: 1.1168 2022/07/23 10:18:48 - mmengine - INFO - Epoch(train) [76][2120/3757] lr: 1.0000e-03 eta: 6:03:55 time: 0.2288 data_time: 0.0233 memory: 6108 grad_norm: 8.9591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3482 loss: 1.3482 2022/07/23 10:18:53 - mmengine - INFO - Epoch(train) [76][2140/3757] lr: 1.0000e-03 eta: 6:03:50 time: 0.2316 data_time: 0.0260 memory: 6108 grad_norm: 8.5476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/07/23 10:18:58 - mmengine - INFO - Epoch(train) [76][2160/3757] lr: 1.0000e-03 eta: 6:03:46 time: 0.2330 data_time: 0.0184 memory: 6108 grad_norm: 8.4544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2308 loss: 1.2308 2022/07/23 10:19:03 - mmengine - INFO - Epoch(train) [76][2180/3757] lr: 1.0000e-03 eta: 6:03:41 time: 0.2520 data_time: 0.0275 memory: 6108 grad_norm: 8.3869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/07/23 10:19:07 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 1.0000e-03 eta: 6:03:36 time: 0.2412 data_time: 0.0254 memory: 6108 grad_norm: 8.7076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4585 loss: 1.4585 2022/07/23 10:19:12 - mmengine - INFO - Epoch(train) [76][2220/3757] lr: 1.0000e-03 eta: 6:03:31 time: 0.2329 data_time: 0.0236 memory: 6108 grad_norm: 8.3921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0997 loss: 1.0997 2022/07/23 10:19:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:19:17 - mmengine - INFO - Epoch(train) [76][2240/3757] lr: 1.0000e-03 eta: 6:03:27 time: 0.2378 data_time: 0.0253 memory: 6108 grad_norm: 8.2912 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3758 loss: 1.3758 2022/07/23 10:19:22 - mmengine - INFO - Epoch(train) [76][2260/3757] lr: 1.0000e-03 eta: 6:03:22 time: 0.2313 data_time: 0.0224 memory: 6108 grad_norm: 8.6674 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4360 loss: 1.4360 2022/07/23 10:19:27 - mmengine - INFO - Epoch(train) [76][2280/3757] lr: 1.0000e-03 eta: 6:03:17 time: 0.2487 data_time: 0.0226 memory: 6108 grad_norm: 8.5296 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3256 loss: 1.3256 2022/07/23 10:19:31 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 1.0000e-03 eta: 6:03:12 time: 0.2270 data_time: 0.0256 memory: 6108 grad_norm: 8.6606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3656 loss: 1.3656 2022/07/23 10:19:36 - mmengine - INFO - Epoch(train) [76][2320/3757] lr: 1.0000e-03 eta: 6:03:08 time: 0.2280 data_time: 0.0234 memory: 6108 grad_norm: 8.7597 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3522 loss: 1.3522 2022/07/23 10:19:40 - mmengine - INFO - Epoch(train) [76][2340/3757] lr: 1.0000e-03 eta: 6:03:03 time: 0.2267 data_time: 0.0232 memory: 6108 grad_norm: 9.1915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2433 loss: 1.2433 2022/07/23 10:19:45 - mmengine - INFO - Epoch(train) [76][2360/3757] lr: 1.0000e-03 eta: 6:02:58 time: 0.2399 data_time: 0.0212 memory: 6108 grad_norm: 8.5210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3632 loss: 1.3632 2022/07/23 10:19:50 - mmengine - INFO - Epoch(train) [76][2380/3757] lr: 1.0000e-03 eta: 6:02:53 time: 0.2307 data_time: 0.0255 memory: 6108 grad_norm: 8.5619 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3081 loss: 1.3081 2022/07/23 10:19:55 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 1.0000e-03 eta: 6:02:48 time: 0.2499 data_time: 0.0495 memory: 6108 grad_norm: 8.7028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3262 loss: 1.3262 2022/07/23 10:20:00 - mmengine - INFO - Epoch(train) [76][2420/3757] lr: 1.0000e-03 eta: 6:02:44 time: 0.2331 data_time: 0.0225 memory: 6108 grad_norm: 8.7625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2024 loss: 1.2024 2022/07/23 10:20:04 - mmengine - INFO - Epoch(train) [76][2440/3757] lr: 1.0000e-03 eta: 6:02:39 time: 0.2349 data_time: 0.0301 memory: 6108 grad_norm: 8.6599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0518 loss: 1.0518 2022/07/23 10:20:10 - mmengine - INFO - Epoch(train) [76][2460/3757] lr: 1.0000e-03 eta: 6:02:34 time: 0.2631 data_time: 0.0276 memory: 6108 grad_norm: 8.4977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/07/23 10:20:14 - mmengine - INFO - Epoch(train) [76][2480/3757] lr: 1.0000e-03 eta: 6:02:29 time: 0.2271 data_time: 0.0203 memory: 6108 grad_norm: 8.5814 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3049 loss: 1.3049 2022/07/23 10:20:19 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 1.0000e-03 eta: 6:02:25 time: 0.2479 data_time: 0.0448 memory: 6108 grad_norm: 8.9457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1715 loss: 1.1715 2022/07/23 10:20:24 - mmengine - INFO - Epoch(train) [76][2520/3757] lr: 1.0000e-03 eta: 6:02:20 time: 0.2373 data_time: 0.0281 memory: 6108 grad_norm: 8.6226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/07/23 10:20:29 - mmengine - INFO - Epoch(train) [76][2540/3757] lr: 1.0000e-03 eta: 6:02:15 time: 0.2341 data_time: 0.0282 memory: 6108 grad_norm: 8.4610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/07/23 10:20:33 - mmengine - INFO - Epoch(train) [76][2560/3757] lr: 1.0000e-03 eta: 6:02:10 time: 0.2305 data_time: 0.0269 memory: 6108 grad_norm: 8.8332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2184 loss: 1.2184 2022/07/23 10:20:38 - mmengine - INFO - Epoch(train) [76][2580/3757] lr: 1.0000e-03 eta: 6:02:06 time: 0.2325 data_time: 0.0270 memory: 6108 grad_norm: 8.3337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2037 loss: 1.2037 2022/07/23 10:20:43 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 1.0000e-03 eta: 6:02:01 time: 0.2305 data_time: 0.0233 memory: 6108 grad_norm: 8.3759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/07/23 10:20:47 - mmengine - INFO - Epoch(train) [76][2620/3757] lr: 1.0000e-03 eta: 6:01:56 time: 0.2355 data_time: 0.0203 memory: 6108 grad_norm: 8.3554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3428 loss: 1.3428 2022/07/23 10:20:52 - mmengine - INFO - Epoch(train) [76][2640/3757] lr: 1.0000e-03 eta: 6:01:51 time: 0.2304 data_time: 0.0253 memory: 6108 grad_norm: 8.4195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3098 loss: 1.3098 2022/07/23 10:20:57 - mmengine - INFO - Epoch(train) [76][2660/3757] lr: 1.0000e-03 eta: 6:01:47 time: 0.2397 data_time: 0.0212 memory: 6108 grad_norm: 8.5824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/07/23 10:21:01 - mmengine - INFO - Epoch(train) [76][2680/3757] lr: 1.0000e-03 eta: 6:01:42 time: 0.2310 data_time: 0.0191 memory: 6108 grad_norm: 8.8598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4111 loss: 1.4111 2022/07/23 10:21:06 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 1.0000e-03 eta: 6:01:37 time: 0.2385 data_time: 0.0240 memory: 6108 grad_norm: 8.5209 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2969 loss: 1.2969 2022/07/23 10:21:11 - mmengine - INFO - Epoch(train) [76][2720/3757] lr: 1.0000e-03 eta: 6:01:32 time: 0.2306 data_time: 0.0250 memory: 6108 grad_norm: 8.5036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3496 loss: 1.3496 2022/07/23 10:21:15 - mmengine - INFO - Epoch(train) [76][2740/3757] lr: 1.0000e-03 eta: 6:01:27 time: 0.2308 data_time: 0.0272 memory: 6108 grad_norm: 8.6483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2490 loss: 1.2490 2022/07/23 10:21:20 - mmengine - INFO - Epoch(train) [76][2760/3757] lr: 1.0000e-03 eta: 6:01:23 time: 0.2368 data_time: 0.0242 memory: 6108 grad_norm: 8.5590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1742 loss: 1.1742 2022/07/23 10:21:25 - mmengine - INFO - Epoch(train) [76][2780/3757] lr: 1.0000e-03 eta: 6:01:18 time: 0.2485 data_time: 0.0312 memory: 6108 grad_norm: 8.7536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0385 loss: 1.0385 2022/07/23 10:21:30 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 1.0000e-03 eta: 6:01:13 time: 0.2351 data_time: 0.0182 memory: 6108 grad_norm: 8.6261 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4333 loss: 1.4333 2022/07/23 10:21:35 - mmengine - INFO - Epoch(train) [76][2820/3757] lr: 1.0000e-03 eta: 6:01:08 time: 0.2354 data_time: 0.0190 memory: 6108 grad_norm: 8.6590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/07/23 10:21:39 - mmengine - INFO - Epoch(train) [76][2840/3757] lr: 1.0000e-03 eta: 6:01:04 time: 0.2293 data_time: 0.0213 memory: 6108 grad_norm: 9.0104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/07/23 10:21:44 - mmengine - INFO - Epoch(train) [76][2860/3757] lr: 1.0000e-03 eta: 6:00:59 time: 0.2387 data_time: 0.0191 memory: 6108 grad_norm: 8.4051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/07/23 10:21:49 - mmengine - INFO - Epoch(train) [76][2880/3757] lr: 1.0000e-03 eta: 6:00:54 time: 0.2411 data_time: 0.0209 memory: 6108 grad_norm: 8.8044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4711 loss: 1.4711 2022/07/23 10:21:54 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 1.0000e-03 eta: 6:00:49 time: 0.2322 data_time: 0.0284 memory: 6108 grad_norm: 8.4738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6426 loss: 1.6426 2022/07/23 10:21:58 - mmengine - INFO - Epoch(train) [76][2920/3757] lr: 1.0000e-03 eta: 6:00:45 time: 0.2375 data_time: 0.0175 memory: 6108 grad_norm: 8.8116 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/07/23 10:22:03 - mmengine - INFO - Epoch(train) [76][2940/3757] lr: 1.0000e-03 eta: 6:00:40 time: 0.2294 data_time: 0.0263 memory: 6108 grad_norm: 8.9789 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4981 loss: 1.4981 2022/07/23 10:22:08 - mmengine - INFO - Epoch(train) [76][2960/3757] lr: 1.0000e-03 eta: 6:00:35 time: 0.2410 data_time: 0.0255 memory: 6108 grad_norm: 8.4500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2509 loss: 1.2509 2022/07/23 10:22:12 - mmengine - INFO - Epoch(train) [76][2980/3757] lr: 1.0000e-03 eta: 6:00:30 time: 0.2321 data_time: 0.0204 memory: 6108 grad_norm: 8.7145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2985 loss: 1.2985 2022/07/23 10:22:17 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 1.0000e-03 eta: 6:00:25 time: 0.2328 data_time: 0.0186 memory: 6108 grad_norm: 8.8477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/07/23 10:22:22 - mmengine - INFO - Epoch(train) [76][3020/3757] lr: 1.0000e-03 eta: 6:00:21 time: 0.2285 data_time: 0.0235 memory: 6108 grad_norm: 8.8976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5765 loss: 1.5765 2022/07/23 10:22:27 - mmengine - INFO - Epoch(train) [76][3040/3757] lr: 1.0000e-03 eta: 6:00:16 time: 0.2468 data_time: 0.0264 memory: 6108 grad_norm: 9.1208 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4612 loss: 1.4612 2022/07/23 10:22:31 - mmengine - INFO - Epoch(train) [76][3060/3757] lr: 1.0000e-03 eta: 6:00:11 time: 0.2302 data_time: 0.0225 memory: 6108 grad_norm: 8.4478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/07/23 10:22:36 - mmengine - INFO - Epoch(train) [76][3080/3757] lr: 1.0000e-03 eta: 6:00:06 time: 0.2464 data_time: 0.0318 memory: 6108 grad_norm: 9.0122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5621 loss: 1.5621 2022/07/23 10:22:41 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 1.0000e-03 eta: 6:00:02 time: 0.2319 data_time: 0.0221 memory: 6108 grad_norm: 8.8711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5938 loss: 1.5938 2022/07/23 10:22:46 - mmengine - INFO - Epoch(train) [76][3120/3757] lr: 1.0000e-03 eta: 5:59:57 time: 0.2487 data_time: 0.0244 memory: 6108 grad_norm: 8.6993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1127 loss: 1.1127 2022/07/23 10:22:51 - mmengine - INFO - Epoch(train) [76][3140/3757] lr: 1.0000e-03 eta: 5:59:52 time: 0.2302 data_time: 0.0281 memory: 6108 grad_norm: 9.0185 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3455 loss: 1.3455 2022/07/23 10:22:55 - mmengine - INFO - Epoch(train) [76][3160/3757] lr: 1.0000e-03 eta: 5:59:47 time: 0.2263 data_time: 0.0212 memory: 6108 grad_norm: 8.2121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/07/23 10:23:00 - mmengine - INFO - Epoch(train) [76][3180/3757] lr: 1.0000e-03 eta: 5:59:42 time: 0.2326 data_time: 0.0234 memory: 6108 grad_norm: 8.3702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/07/23 10:23:04 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 1.0000e-03 eta: 5:59:38 time: 0.2301 data_time: 0.0289 memory: 6108 grad_norm: 8.6100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5152 loss: 1.5152 2022/07/23 10:23:10 - mmengine - INFO - Epoch(train) [76][3220/3757] lr: 1.0000e-03 eta: 5:59:33 time: 0.2573 data_time: 0.0263 memory: 6108 grad_norm: 8.6282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3600 loss: 1.3600 2022/07/23 10:23:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:23:14 - mmengine - INFO - Epoch(train) [76][3240/3757] lr: 1.0000e-03 eta: 5:59:28 time: 0.2259 data_time: 0.0185 memory: 6108 grad_norm: 8.5240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2707 loss: 1.2707 2022/07/23 10:23:19 - mmengine - INFO - Epoch(train) [76][3260/3757] lr: 1.0000e-03 eta: 5:59:23 time: 0.2350 data_time: 0.0339 memory: 6108 grad_norm: 8.8202 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5156 loss: 1.5156 2022/07/23 10:23:24 - mmengine - INFO - Epoch(train) [76][3280/3757] lr: 1.0000e-03 eta: 5:59:19 time: 0.2299 data_time: 0.0275 memory: 6108 grad_norm: 8.7689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1130 loss: 1.1130 2022/07/23 10:23:28 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 1.0000e-03 eta: 5:59:14 time: 0.2438 data_time: 0.0227 memory: 6108 grad_norm: 8.5642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/07/23 10:23:33 - mmengine - INFO - Epoch(train) [76][3320/3757] lr: 1.0000e-03 eta: 5:59:09 time: 0.2255 data_time: 0.0249 memory: 6108 grad_norm: 8.5804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2251 loss: 1.2251 2022/07/23 10:23:38 - mmengine - INFO - Epoch(train) [76][3340/3757] lr: 1.0000e-03 eta: 5:59:04 time: 0.2289 data_time: 0.0235 memory: 6108 grad_norm: 8.6990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/07/23 10:23:42 - mmengine - INFO - Epoch(train) [76][3360/3757] lr: 1.0000e-03 eta: 5:58:59 time: 0.2313 data_time: 0.0204 memory: 6108 grad_norm: 8.8777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3601 loss: 1.3601 2022/07/23 10:23:47 - mmengine - INFO - Epoch(train) [76][3380/3757] lr: 1.0000e-03 eta: 5:58:55 time: 0.2496 data_time: 0.0207 memory: 6108 grad_norm: 8.3879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/07/23 10:23:52 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 1.0000e-03 eta: 5:58:50 time: 0.2252 data_time: 0.0235 memory: 6108 grad_norm: 8.6429 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3273 loss: 1.3273 2022/07/23 10:23:56 - mmengine - INFO - Epoch(train) [76][3420/3757] lr: 1.0000e-03 eta: 5:58:45 time: 0.2298 data_time: 0.0282 memory: 6108 grad_norm: 8.3857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/07/23 10:24:01 - mmengine - INFO - Epoch(train) [76][3440/3757] lr: 1.0000e-03 eta: 5:58:40 time: 0.2395 data_time: 0.0239 memory: 6108 grad_norm: 8.1962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2871 loss: 1.2871 2022/07/23 10:24:06 - mmengine - INFO - Epoch(train) [76][3460/3757] lr: 1.0000e-03 eta: 5:58:36 time: 0.2384 data_time: 0.0212 memory: 6108 grad_norm: 8.9099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2525 loss: 1.2525 2022/07/23 10:24:11 - mmengine - INFO - Epoch(train) [76][3480/3757] lr: 1.0000e-03 eta: 5:58:31 time: 0.2311 data_time: 0.0258 memory: 6108 grad_norm: 8.3380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/07/23 10:24:16 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 1.0000e-03 eta: 5:58:26 time: 0.2415 data_time: 0.0221 memory: 6108 grad_norm: 8.7822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1325 loss: 1.1325 2022/07/23 10:24:20 - mmengine - INFO - Epoch(train) [76][3520/3757] lr: 1.0000e-03 eta: 5:58:21 time: 0.2289 data_time: 0.0269 memory: 6108 grad_norm: 8.5832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2282 loss: 1.2282 2022/07/23 10:24:25 - mmengine - INFO - Epoch(train) [76][3540/3757] lr: 1.0000e-03 eta: 5:58:16 time: 0.2288 data_time: 0.0217 memory: 6108 grad_norm: 8.4763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2794 loss: 1.2794 2022/07/23 10:24:30 - mmengine - INFO - Epoch(train) [76][3560/3757] lr: 1.0000e-03 eta: 5:58:12 time: 0.2454 data_time: 0.0230 memory: 6108 grad_norm: 8.6062 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4020 loss: 1.4020 2022/07/23 10:24:34 - mmengine - INFO - Epoch(train) [76][3580/3757] lr: 1.0000e-03 eta: 5:58:07 time: 0.2285 data_time: 0.0239 memory: 6108 grad_norm: 8.3907 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1806 loss: 1.1806 2022/07/23 10:24:39 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 1.0000e-03 eta: 5:58:02 time: 0.2303 data_time: 0.0301 memory: 6108 grad_norm: 8.2303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3610 loss: 1.3610 2022/07/23 10:24:44 - mmengine - INFO - Epoch(train) [76][3620/3757] lr: 1.0000e-03 eta: 5:57:57 time: 0.2339 data_time: 0.0285 memory: 6108 grad_norm: 8.4879 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2809 loss: 1.2809 2022/07/23 10:24:49 - mmengine - INFO - Epoch(train) [76][3640/3757] lr: 1.0000e-03 eta: 5:57:53 time: 0.2449 data_time: 0.0232 memory: 6108 grad_norm: 8.5535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/07/23 10:24:53 - mmengine - INFO - Epoch(train) [76][3660/3757] lr: 1.0000e-03 eta: 5:57:48 time: 0.2322 data_time: 0.0187 memory: 6108 grad_norm: 8.2728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/07/23 10:24:58 - mmengine - INFO - Epoch(train) [76][3680/3757] lr: 1.0000e-03 eta: 5:57:43 time: 0.2311 data_time: 0.0278 memory: 6108 grad_norm: 8.9810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2959 loss: 1.2959 2022/07/23 10:25:02 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 1.0000e-03 eta: 5:57:38 time: 0.2303 data_time: 0.0197 memory: 6108 grad_norm: 8.4882 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2021 loss: 1.2021 2022/07/23 10:25:07 - mmengine - INFO - Epoch(train) [76][3720/3757] lr: 1.0000e-03 eta: 5:57:34 time: 0.2466 data_time: 0.0233 memory: 6108 grad_norm: 8.6626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3562 loss: 1.3562 2022/07/23 10:25:12 - mmengine - INFO - Epoch(train) [76][3740/3757] lr: 1.0000e-03 eta: 5:57:29 time: 0.2291 data_time: 0.0278 memory: 6108 grad_norm: 8.3429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2393 loss: 1.2393 2022/07/23 10:25:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:25:15 - mmengine - INFO - Epoch(train) [76][3757/3757] lr: 1.0000e-03 eta: 5:57:29 time: 0.1991 data_time: 0.0164 memory: 6108 grad_norm: 8.7139 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.2066 loss: 1.2066 2022/07/23 10:25:21 - mmengine - INFO - Epoch(val) [76][20/310] eta: 0:01:27 time: 0.3024 data_time: 0.2175 memory: 1428 2022/07/23 10:25:25 - mmengine - INFO - Epoch(val) [76][40/310] eta: 0:00:49 time: 0.1847 data_time: 0.1017 memory: 1428 2022/07/23 10:25:30 - mmengine - INFO - Epoch(val) [76][60/310] eta: 0:00:56 time: 0.2244 data_time: 0.1468 memory: 1428 2022/07/23 10:25:34 - mmengine - INFO - Epoch(val) [76][80/310] eta: 0:00:47 time: 0.2060 data_time: 0.1270 memory: 1428 2022/07/23 10:25:38 - mmengine - INFO - Epoch(val) [76][100/310] eta: 0:00:48 time: 0.2326 data_time: 0.1583 memory: 1428 2022/07/23 10:25:42 - mmengine - INFO - Epoch(val) [76][120/310] eta: 0:00:36 time: 0.1943 data_time: 0.1203 memory: 1428 2022/07/23 10:25:47 - mmengine - INFO - Epoch(val) [76][140/310] eta: 0:00:40 time: 0.2392 data_time: 0.1637 memory: 1428 2022/07/23 10:25:51 - mmengine - INFO - Epoch(val) [76][160/310] eta: 0:00:27 time: 0.1844 data_time: 0.1123 memory: 1428 2022/07/23 10:25:56 - mmengine - INFO - Epoch(val) [76][180/310] eta: 0:00:31 time: 0.2452 data_time: 0.1670 memory: 1428 2022/07/23 10:25:59 - mmengine - INFO - Epoch(val) [76][200/310] eta: 0:00:20 time: 0.1820 data_time: 0.1064 memory: 1428 2022/07/23 10:26:05 - mmengine - INFO - Epoch(val) [76][220/310] eta: 0:00:25 time: 0.2823 data_time: 0.2037 memory: 1428 2022/07/23 10:26:09 - mmengine - INFO - Epoch(val) [76][240/310] eta: 0:00:13 time: 0.1859 data_time: 0.1056 memory: 1428 2022/07/23 10:26:14 - mmengine - INFO - Epoch(val) [76][260/310] eta: 0:00:13 time: 0.2601 data_time: 0.1780 memory: 1428 2022/07/23 10:26:18 - mmengine - INFO - Epoch(val) [76][280/310] eta: 0:00:05 time: 0.1884 data_time: 0.1109 memory: 1428 2022/07/23 10:26:22 - mmengine - INFO - Epoch(val) [76][300/310] eta: 0:00:01 time: 0.1926 data_time: 0.1229 memory: 1428 2022/07/23 10:26:24 - mmengine - INFO - Epoch(val) [76][310/310] acc/top1: 0.6519 acc/top5: 0.8573 acc/mean1: 0.6518 2022/07/23 10:26:31 - mmengine - INFO - Epoch(train) [77][20/3757] lr: 1.0000e-03 eta: 5:57:19 time: 0.3299 data_time: 0.1050 memory: 6108 grad_norm: 8.6385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1507 loss: 1.1507 2022/07/23 10:26:36 - mmengine - INFO - Epoch(train) [77][40/3757] lr: 1.0000e-03 eta: 5:57:14 time: 0.2398 data_time: 0.0217 memory: 6108 grad_norm: 8.3978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2904 loss: 1.2904 2022/07/23 10:26:41 - mmengine - INFO - Epoch(train) [77][60/3757] lr: 1.0000e-03 eta: 5:57:10 time: 0.2513 data_time: 0.0233 memory: 6108 grad_norm: 8.3874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4292 loss: 1.4292 2022/07/23 10:26:45 - mmengine - INFO - Epoch(train) [77][80/3757] lr: 1.0000e-03 eta: 5:57:05 time: 0.2345 data_time: 0.0212 memory: 6108 grad_norm: 8.5383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/07/23 10:26:50 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 1.0000e-03 eta: 5:57:00 time: 0.2528 data_time: 0.0213 memory: 6108 grad_norm: 8.5572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3631 loss: 1.3631 2022/07/23 10:26:55 - mmengine - INFO - Epoch(train) [77][120/3757] lr: 1.0000e-03 eta: 5:56:56 time: 0.2424 data_time: 0.0261 memory: 6108 grad_norm: 8.3245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/07/23 10:27:00 - mmengine - INFO - Epoch(train) [77][140/3757] lr: 1.0000e-03 eta: 5:56:51 time: 0.2304 data_time: 0.0211 memory: 6108 grad_norm: 8.8771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2644 loss: 1.2644 2022/07/23 10:27:05 - mmengine - INFO - Epoch(train) [77][160/3757] lr: 1.0000e-03 eta: 5:56:46 time: 0.2401 data_time: 0.0303 memory: 6108 grad_norm: 8.8996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4215 loss: 1.4215 2022/07/23 10:27:10 - mmengine - INFO - Epoch(train) [77][180/3757] lr: 1.0000e-03 eta: 5:56:41 time: 0.2415 data_time: 0.0260 memory: 6108 grad_norm: 8.5929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3603 loss: 1.3603 2022/07/23 10:27:14 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 1.0000e-03 eta: 5:56:37 time: 0.2272 data_time: 0.0178 memory: 6108 grad_norm: 8.3001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4548 loss: 1.4548 2022/07/23 10:27:19 - mmengine - INFO - Epoch(train) [77][220/3757] lr: 1.0000e-03 eta: 5:56:32 time: 0.2401 data_time: 0.0250 memory: 6108 grad_norm: 8.6305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3102 loss: 1.3102 2022/07/23 10:27:24 - mmengine - INFO - Epoch(train) [77][240/3757] lr: 1.0000e-03 eta: 5:56:27 time: 0.2340 data_time: 0.0257 memory: 6108 grad_norm: 8.5937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3537 loss: 1.3537 2022/07/23 10:27:28 - mmengine - INFO - Epoch(train) [77][260/3757] lr: 1.0000e-03 eta: 5:56:22 time: 0.2292 data_time: 0.0209 memory: 6108 grad_norm: 8.8540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3014 loss: 1.3014 2022/07/23 10:27:33 - mmengine - INFO - Epoch(train) [77][280/3757] lr: 1.0000e-03 eta: 5:56:17 time: 0.2271 data_time: 0.0225 memory: 6108 grad_norm: 8.4682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4412 loss: 1.4412 2022/07/23 10:27:38 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 1.0000e-03 eta: 5:56:13 time: 0.2316 data_time: 0.0230 memory: 6108 grad_norm: 8.6337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3939 loss: 1.3939 2022/07/23 10:27:42 - mmengine - INFO - Epoch(train) [77][320/3757] lr: 1.0000e-03 eta: 5:56:08 time: 0.2297 data_time: 0.0199 memory: 6108 grad_norm: 8.9369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4174 loss: 1.4174 2022/07/23 10:27:47 - mmengine - INFO - Epoch(train) [77][340/3757] lr: 1.0000e-03 eta: 5:56:03 time: 0.2599 data_time: 0.0203 memory: 6108 grad_norm: 8.6970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/07/23 10:27:52 - mmengine - INFO - Epoch(train) [77][360/3757] lr: 1.0000e-03 eta: 5:55:58 time: 0.2313 data_time: 0.0376 memory: 6108 grad_norm: 8.6599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2797 loss: 1.2797 2022/07/23 10:27:57 - mmengine - INFO - Epoch(train) [77][380/3757] lr: 1.0000e-03 eta: 5:55:54 time: 0.2285 data_time: 0.0258 memory: 6108 grad_norm: 8.8047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/07/23 10:28:01 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 1.0000e-03 eta: 5:55:49 time: 0.2305 data_time: 0.0209 memory: 6108 grad_norm: 8.7944 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2827 loss: 1.2827 2022/07/23 10:28:07 - mmengine - INFO - Epoch(train) [77][420/3757] lr: 1.0000e-03 eta: 5:55:44 time: 0.2655 data_time: 0.0241 memory: 6108 grad_norm: 8.7724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/07/23 10:28:11 - mmengine - INFO - Epoch(train) [77][440/3757] lr: 1.0000e-03 eta: 5:55:39 time: 0.2285 data_time: 0.0199 memory: 6108 grad_norm: 8.8569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2344 loss: 1.2344 2022/07/23 10:28:16 - mmengine - INFO - Epoch(train) [77][460/3757] lr: 1.0000e-03 eta: 5:55:34 time: 0.2237 data_time: 0.0186 memory: 6108 grad_norm: 8.8198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/07/23 10:28:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:28:20 - mmengine - INFO - Epoch(train) [77][480/3757] lr: 1.0000e-03 eta: 5:55:30 time: 0.2327 data_time: 0.0249 memory: 6108 grad_norm: 8.0904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/07/23 10:28:25 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 1.0000e-03 eta: 5:55:25 time: 0.2309 data_time: 0.0190 memory: 6108 grad_norm: 8.8110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/07/23 10:28:30 - mmengine - INFO - Epoch(train) [77][520/3757] lr: 1.0000e-03 eta: 5:55:20 time: 0.2438 data_time: 0.0187 memory: 6108 grad_norm: 8.6550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9249 loss: 0.9249 2022/07/23 10:28:35 - mmengine - INFO - Epoch(train) [77][540/3757] lr: 1.0000e-03 eta: 5:55:15 time: 0.2272 data_time: 0.0219 memory: 6108 grad_norm: 8.6971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/07/23 10:28:39 - mmengine - INFO - Epoch(train) [77][560/3757] lr: 1.0000e-03 eta: 5:55:11 time: 0.2463 data_time: 0.0233 memory: 6108 grad_norm: 8.3825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/07/23 10:28:44 - mmengine - INFO - Epoch(train) [77][580/3757] lr: 1.0000e-03 eta: 5:55:06 time: 0.2275 data_time: 0.0198 memory: 6108 grad_norm: 8.4328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/07/23 10:28:49 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 1.0000e-03 eta: 5:55:01 time: 0.2480 data_time: 0.0292 memory: 6108 grad_norm: 8.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4047 loss: 1.4047 2022/07/23 10:28:54 - mmengine - INFO - Epoch(train) [77][620/3757] lr: 1.0000e-03 eta: 5:54:56 time: 0.2301 data_time: 0.0232 memory: 6108 grad_norm: 8.5724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/07/23 10:28:58 - mmengine - INFO - Epoch(train) [77][640/3757] lr: 1.0000e-03 eta: 5:54:52 time: 0.2346 data_time: 0.0266 memory: 6108 grad_norm: 8.9922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/07/23 10:29:03 - mmengine - INFO - Epoch(train) [77][660/3757] lr: 1.0000e-03 eta: 5:54:47 time: 0.2292 data_time: 0.0247 memory: 6108 grad_norm: 8.6537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/07/23 10:29:08 - mmengine - INFO - Epoch(train) [77][680/3757] lr: 1.0000e-03 eta: 5:54:42 time: 0.2351 data_time: 0.0270 memory: 6108 grad_norm: 8.5591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1763 loss: 1.1763 2022/07/23 10:29:12 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 1.0000e-03 eta: 5:54:37 time: 0.2284 data_time: 0.0243 memory: 6108 grad_norm: 8.4124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/07/23 10:29:17 - mmengine - INFO - Epoch(train) [77][720/3757] lr: 1.0000e-03 eta: 5:54:32 time: 0.2353 data_time: 0.0220 memory: 6108 grad_norm: 8.4616 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3729 loss: 1.3729 2022/07/23 10:29:22 - mmengine - INFO - Epoch(train) [77][740/3757] lr: 1.0000e-03 eta: 5:54:28 time: 0.2321 data_time: 0.0227 memory: 6108 grad_norm: 8.9996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/07/23 10:29:27 - mmengine - INFO - Epoch(train) [77][760/3757] lr: 1.0000e-03 eta: 5:54:23 time: 0.2407 data_time: 0.0199 memory: 6108 grad_norm: 8.6564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/07/23 10:29:31 - mmengine - INFO - Epoch(train) [77][780/3757] lr: 1.0000e-03 eta: 5:54:18 time: 0.2315 data_time: 0.0263 memory: 6108 grad_norm: 8.4513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0176 loss: 1.0176 2022/07/23 10:29:36 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 1.0000e-03 eta: 5:54:13 time: 0.2312 data_time: 0.0213 memory: 6108 grad_norm: 8.6157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/07/23 10:29:40 - mmengine - INFO - Epoch(train) [77][820/3757] lr: 1.0000e-03 eta: 5:54:08 time: 0.2286 data_time: 0.0192 memory: 6108 grad_norm: 8.7752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/23 10:29:45 - mmengine - INFO - Epoch(train) [77][840/3757] lr: 1.0000e-03 eta: 5:54:04 time: 0.2357 data_time: 0.0342 memory: 6108 grad_norm: 8.6950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5769 loss: 1.5769 2022/07/23 10:29:50 - mmengine - INFO - Epoch(train) [77][860/3757] lr: 1.0000e-03 eta: 5:53:59 time: 0.2395 data_time: 0.0244 memory: 6108 grad_norm: 8.5005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/23 10:29:55 - mmengine - INFO - Epoch(train) [77][880/3757] lr: 1.0000e-03 eta: 5:53:54 time: 0.2301 data_time: 0.0250 memory: 6108 grad_norm: 8.5068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0993 loss: 1.0993 2022/07/23 10:29:59 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 1.0000e-03 eta: 5:53:49 time: 0.2380 data_time: 0.0288 memory: 6108 grad_norm: 8.4738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5450 loss: 1.5450 2022/07/23 10:30:04 - mmengine - INFO - Epoch(train) [77][920/3757] lr: 1.0000e-03 eta: 5:53:45 time: 0.2318 data_time: 0.0209 memory: 6108 grad_norm: 8.5668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1571 loss: 1.1571 2022/07/23 10:30:09 - mmengine - INFO - Epoch(train) [77][940/3757] lr: 1.0000e-03 eta: 5:53:40 time: 0.2334 data_time: 0.0185 memory: 6108 grad_norm: 8.4843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/07/23 10:30:13 - mmengine - INFO - Epoch(train) [77][960/3757] lr: 1.0000e-03 eta: 5:53:35 time: 0.2304 data_time: 0.0277 memory: 6108 grad_norm: 8.9225 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3789 loss: 1.3789 2022/07/23 10:30:18 - mmengine - INFO - Epoch(train) [77][980/3757] lr: 1.0000e-03 eta: 5:53:30 time: 0.2350 data_time: 0.0209 memory: 6108 grad_norm: 8.7581 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1470 loss: 1.1470 2022/07/23 10:30:23 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 1.0000e-03 eta: 5:53:25 time: 0.2317 data_time: 0.0190 memory: 6108 grad_norm: 8.5200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/07/23 10:30:28 - mmengine - INFO - Epoch(train) [77][1020/3757] lr: 1.0000e-03 eta: 5:53:21 time: 0.2479 data_time: 0.0208 memory: 6108 grad_norm: 9.0256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5288 loss: 1.5288 2022/07/23 10:30:32 - mmengine - INFO - Epoch(train) [77][1040/3757] lr: 1.0000e-03 eta: 5:53:16 time: 0.2263 data_time: 0.0219 memory: 6108 grad_norm: 8.6009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3105 loss: 1.3105 2022/07/23 10:30:37 - mmengine - INFO - Epoch(train) [77][1060/3757] lr: 1.0000e-03 eta: 5:53:11 time: 0.2324 data_time: 0.0203 memory: 6108 grad_norm: 8.5587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1962 loss: 1.1962 2022/07/23 10:30:42 - mmengine - INFO - Epoch(train) [77][1080/3757] lr: 1.0000e-03 eta: 5:53:06 time: 0.2357 data_time: 0.0228 memory: 6108 grad_norm: 8.4797 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2916 loss: 1.2916 2022/07/23 10:30:47 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 1.0000e-03 eta: 5:53:02 time: 0.2515 data_time: 0.0197 memory: 6108 grad_norm: 8.4756 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3017 loss: 1.3017 2022/07/23 10:30:51 - mmengine - INFO - Epoch(train) [77][1120/3757] lr: 1.0000e-03 eta: 5:52:57 time: 0.2265 data_time: 0.0214 memory: 6108 grad_norm: 8.7369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2943 loss: 1.2943 2022/07/23 10:30:56 - mmengine - INFO - Epoch(train) [77][1140/3757] lr: 1.0000e-03 eta: 5:52:52 time: 0.2344 data_time: 0.0262 memory: 6108 grad_norm: 8.3647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9912 loss: 0.9912 2022/07/23 10:31:01 - mmengine - INFO - Epoch(train) [77][1160/3757] lr: 1.0000e-03 eta: 5:52:47 time: 0.2264 data_time: 0.0239 memory: 6108 grad_norm: 8.5234 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/07/23 10:31:05 - mmengine - INFO - Epoch(train) [77][1180/3757] lr: 1.0000e-03 eta: 5:52:42 time: 0.2309 data_time: 0.0270 memory: 6108 grad_norm: 8.7892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/07/23 10:31:10 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 1.0000e-03 eta: 5:52:38 time: 0.2345 data_time: 0.0210 memory: 6108 grad_norm: 8.4725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1552 loss: 1.1552 2022/07/23 10:31:15 - mmengine - INFO - Epoch(train) [77][1220/3757] lr: 1.0000e-03 eta: 5:52:33 time: 0.2264 data_time: 0.0231 memory: 6108 grad_norm: 9.1093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6854 loss: 1.6854 2022/07/23 10:31:19 - mmengine - INFO - Epoch(train) [77][1240/3757] lr: 1.0000e-03 eta: 5:52:28 time: 0.2416 data_time: 0.0219 memory: 6108 grad_norm: 8.8081 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1125 loss: 1.1125 2022/07/23 10:31:24 - mmengine - INFO - Epoch(train) [77][1260/3757] lr: 1.0000e-03 eta: 5:52:23 time: 0.2345 data_time: 0.0265 memory: 6108 grad_norm: 8.8405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/07/23 10:31:29 - mmengine - INFO - Epoch(train) [77][1280/3757] lr: 1.0000e-03 eta: 5:52:19 time: 0.2367 data_time: 0.0160 memory: 6108 grad_norm: 8.3337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2988 loss: 1.2988 2022/07/23 10:31:33 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 1.0000e-03 eta: 5:52:14 time: 0.2273 data_time: 0.0184 memory: 6108 grad_norm: 8.2174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3973 loss: 1.3973 2022/07/23 10:31:39 - mmengine - INFO - Epoch(train) [77][1320/3757] lr: 1.0000e-03 eta: 5:52:09 time: 0.2507 data_time: 0.0246 memory: 6108 grad_norm: 8.7362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3041 loss: 1.3041 2022/07/23 10:31:43 - mmengine - INFO - Epoch(train) [77][1340/3757] lr: 1.0000e-03 eta: 5:52:04 time: 0.2272 data_time: 0.0241 memory: 6108 grad_norm: 8.3093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/07/23 10:31:48 - mmengine - INFO - Epoch(train) [77][1360/3757] lr: 1.0000e-03 eta: 5:51:59 time: 0.2361 data_time: 0.0219 memory: 6108 grad_norm: 8.4193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/07/23 10:31:52 - mmengine - INFO - Epoch(train) [77][1380/3757] lr: 1.0000e-03 eta: 5:51:55 time: 0.2291 data_time: 0.0292 memory: 6108 grad_norm: 8.1951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/07/23 10:31:57 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 1.0000e-03 eta: 5:51:50 time: 0.2363 data_time: 0.0207 memory: 6108 grad_norm: 8.6764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4388 loss: 1.4388 2022/07/23 10:32:02 - mmengine - INFO - Epoch(train) [77][1420/3757] lr: 1.0000e-03 eta: 5:51:45 time: 0.2458 data_time: 0.0208 memory: 6108 grad_norm: 8.8657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3567 loss: 1.3567 2022/07/23 10:32:07 - mmengine - INFO - Epoch(train) [77][1440/3757] lr: 1.0000e-03 eta: 5:51:41 time: 0.2647 data_time: 0.0214 memory: 6108 grad_norm: 8.6803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/07/23 10:32:12 - mmengine - INFO - Epoch(train) [77][1460/3757] lr: 1.0000e-03 eta: 5:51:36 time: 0.2236 data_time: 0.0237 memory: 6108 grad_norm: 8.7206 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1870 loss: 1.1870 2022/07/23 10:32:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:32:17 - mmengine - INFO - Epoch(train) [77][1480/3757] lr: 1.0000e-03 eta: 5:51:31 time: 0.2311 data_time: 0.0241 memory: 6108 grad_norm: 8.6173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/07/23 10:32:21 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 1.0000e-03 eta: 5:51:26 time: 0.2298 data_time: 0.0261 memory: 6108 grad_norm: 8.1597 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2256 loss: 1.2256 2022/07/23 10:32:26 - mmengine - INFO - Epoch(train) [77][1520/3757] lr: 1.0000e-03 eta: 5:51:21 time: 0.2359 data_time: 0.0230 memory: 6108 grad_norm: 8.5610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4911 loss: 1.4911 2022/07/23 10:32:31 - mmengine - INFO - Epoch(train) [77][1540/3757] lr: 1.0000e-03 eta: 5:51:17 time: 0.2317 data_time: 0.0226 memory: 6108 grad_norm: 8.2293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4078 loss: 1.4078 2022/07/23 10:32:35 - mmengine - INFO - Epoch(train) [77][1560/3757] lr: 1.0000e-03 eta: 5:51:12 time: 0.2341 data_time: 0.0260 memory: 6108 grad_norm: 8.4687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4111 loss: 1.4111 2022/07/23 10:32:40 - mmengine - INFO - Epoch(train) [77][1580/3757] lr: 1.0000e-03 eta: 5:51:07 time: 0.2323 data_time: 0.0210 memory: 6108 grad_norm: 8.4450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4330 loss: 1.4330 2022/07/23 10:32:45 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 1.0000e-03 eta: 5:51:02 time: 0.2265 data_time: 0.0210 memory: 6108 grad_norm: 8.7910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2382 loss: 1.2382 2022/07/23 10:32:49 - mmengine - INFO - Epoch(train) [77][1620/3757] lr: 1.0000e-03 eta: 5:50:57 time: 0.2406 data_time: 0.0241 memory: 6108 grad_norm: 8.8221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0901 loss: 1.0901 2022/07/23 10:32:54 - mmengine - INFO - Epoch(train) [77][1640/3757] lr: 1.0000e-03 eta: 5:50:53 time: 0.2307 data_time: 0.0224 memory: 6108 grad_norm: 8.4621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/07/23 10:32:59 - mmengine - INFO - Epoch(train) [77][1660/3757] lr: 1.0000e-03 eta: 5:50:48 time: 0.2272 data_time: 0.0164 memory: 6108 grad_norm: 8.5709 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2603 loss: 1.2603 2022/07/23 10:33:03 - mmengine - INFO - Epoch(train) [77][1680/3757] lr: 1.0000e-03 eta: 5:50:43 time: 0.2304 data_time: 0.0255 memory: 6108 grad_norm: 8.6972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1766 loss: 1.1766 2022/07/23 10:33:08 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 1.0000e-03 eta: 5:50:38 time: 0.2553 data_time: 0.0339 memory: 6108 grad_norm: 8.5303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2226 loss: 1.2226 2022/07/23 10:33:13 - mmengine - INFO - Epoch(train) [77][1720/3757] lr: 1.0000e-03 eta: 5:50:34 time: 0.2275 data_time: 0.0172 memory: 6108 grad_norm: 8.3062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/07/23 10:33:18 - mmengine - INFO - Epoch(train) [77][1740/3757] lr: 1.0000e-03 eta: 5:50:29 time: 0.2323 data_time: 0.0262 memory: 6108 grad_norm: 8.6192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/07/23 10:33:22 - mmengine - INFO - Epoch(train) [77][1760/3757] lr: 1.0000e-03 eta: 5:50:24 time: 0.2257 data_time: 0.0185 memory: 6108 grad_norm: 8.5674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3526 loss: 1.3526 2022/07/23 10:33:27 - mmengine - INFO - Epoch(train) [77][1780/3757] lr: 1.0000e-03 eta: 5:50:19 time: 0.2607 data_time: 0.0291 memory: 6108 grad_norm: 8.6284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2099 loss: 1.2099 2022/07/23 10:33:32 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 1.0000e-03 eta: 5:50:15 time: 0.2285 data_time: 0.0203 memory: 6108 grad_norm: 8.6893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/07/23 10:33:37 - mmengine - INFO - Epoch(train) [77][1820/3757] lr: 1.0000e-03 eta: 5:50:10 time: 0.2367 data_time: 0.0202 memory: 6108 grad_norm: 8.7325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3126 loss: 1.3126 2022/07/23 10:33:41 - mmengine - INFO - Epoch(train) [77][1840/3757] lr: 1.0000e-03 eta: 5:50:05 time: 0.2311 data_time: 0.0283 memory: 6108 grad_norm: 8.7139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3324 loss: 1.3324 2022/07/23 10:33:46 - mmengine - INFO - Epoch(train) [77][1860/3757] lr: 1.0000e-03 eta: 5:50:00 time: 0.2464 data_time: 0.0257 memory: 6108 grad_norm: 9.1941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9321 loss: 0.9321 2022/07/23 10:33:51 - mmengine - INFO - Epoch(train) [77][1880/3757] lr: 1.0000e-03 eta: 5:49:55 time: 0.2253 data_time: 0.0184 memory: 6108 grad_norm: 8.5702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/07/23 10:33:56 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 1.0000e-03 eta: 5:49:51 time: 0.2522 data_time: 0.0186 memory: 6108 grad_norm: 8.4654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1884 loss: 1.1884 2022/07/23 10:34:01 - mmengine - INFO - Epoch(train) [77][1920/3757] lr: 1.0000e-03 eta: 5:49:46 time: 0.2292 data_time: 0.0229 memory: 6108 grad_norm: 8.5880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/07/23 10:34:05 - mmengine - INFO - Epoch(train) [77][1940/3757] lr: 1.0000e-03 eta: 5:49:41 time: 0.2278 data_time: 0.0232 memory: 6108 grad_norm: 8.7413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1977 loss: 1.1977 2022/07/23 10:34:10 - mmengine - INFO - Epoch(train) [77][1960/3757] lr: 1.0000e-03 eta: 5:49:36 time: 0.2417 data_time: 0.0254 memory: 6108 grad_norm: 8.7387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3109 loss: 1.3109 2022/07/23 10:34:15 - mmengine - INFO - Epoch(train) [77][1980/3757] lr: 1.0000e-03 eta: 5:49:32 time: 0.2310 data_time: 0.0245 memory: 6108 grad_norm: 8.5925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3225 loss: 1.3225 2022/07/23 10:34:19 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 1.0000e-03 eta: 5:49:27 time: 0.2343 data_time: 0.0195 memory: 6108 grad_norm: 8.6162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2471 loss: 1.2471 2022/07/23 10:34:24 - mmengine - INFO - Epoch(train) [77][2020/3757] lr: 1.0000e-03 eta: 5:49:22 time: 0.2312 data_time: 0.0336 memory: 6108 grad_norm: 8.6930 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4050 loss: 1.4050 2022/07/23 10:34:29 - mmengine - INFO - Epoch(train) [77][2040/3757] lr: 1.0000e-03 eta: 5:49:17 time: 0.2401 data_time: 0.0232 memory: 6108 grad_norm: 8.8555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2157 loss: 1.2157 2022/07/23 10:34:33 - mmengine - INFO - Epoch(train) [77][2060/3757] lr: 1.0000e-03 eta: 5:49:12 time: 0.2284 data_time: 0.0239 memory: 6108 grad_norm: 8.5998 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/07/23 10:34:38 - mmengine - INFO - Epoch(train) [77][2080/3757] lr: 1.0000e-03 eta: 5:49:08 time: 0.2298 data_time: 0.0208 memory: 6108 grad_norm: 8.9881 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/07/23 10:34:43 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 1.0000e-03 eta: 5:49:03 time: 0.2453 data_time: 0.0291 memory: 6108 grad_norm: 8.8903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4873 loss: 1.4873 2022/07/23 10:34:48 - mmengine - INFO - Epoch(train) [77][2120/3757] lr: 1.0000e-03 eta: 5:48:58 time: 0.2464 data_time: 0.0211 memory: 6108 grad_norm: 8.5663 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1977 loss: 1.1977 2022/07/23 10:34:53 - mmengine - INFO - Epoch(train) [77][2140/3757] lr: 1.0000e-03 eta: 5:48:53 time: 0.2318 data_time: 0.0246 memory: 6108 grad_norm: 8.6290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0008 loss: 1.0008 2022/07/23 10:34:57 - mmengine - INFO - Epoch(train) [77][2160/3757] lr: 1.0000e-03 eta: 5:48:49 time: 0.2281 data_time: 0.0234 memory: 6108 grad_norm: 8.4995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2150 loss: 1.2150 2022/07/23 10:35:02 - mmengine - INFO - Epoch(train) [77][2180/3757] lr: 1.0000e-03 eta: 5:48:44 time: 0.2355 data_time: 0.0226 memory: 6108 grad_norm: 8.5874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/07/23 10:35:07 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 1.0000e-03 eta: 5:48:39 time: 0.2446 data_time: 0.0215 memory: 6108 grad_norm: 8.4916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/07/23 10:35:12 - mmengine - INFO - Epoch(train) [77][2220/3757] lr: 1.0000e-03 eta: 5:48:34 time: 0.2311 data_time: 0.0281 memory: 6108 grad_norm: 8.7865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/23 10:35:16 - mmengine - INFO - Epoch(train) [77][2240/3757] lr: 1.0000e-03 eta: 5:48:30 time: 0.2328 data_time: 0.0231 memory: 6108 grad_norm: 8.7497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3084 loss: 1.3084 2022/07/23 10:35:21 - mmengine - INFO - Epoch(train) [77][2260/3757] lr: 1.0000e-03 eta: 5:48:25 time: 0.2280 data_time: 0.0214 memory: 6108 grad_norm: 9.0907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3088 loss: 1.3088 2022/07/23 10:35:26 - mmengine - INFO - Epoch(train) [77][2280/3757] lr: 1.0000e-03 eta: 5:48:20 time: 0.2339 data_time: 0.0267 memory: 6108 grad_norm: 8.3940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0045 loss: 1.0045 2022/07/23 10:35:31 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 1.0000e-03 eta: 5:48:15 time: 0.2500 data_time: 0.0212 memory: 6108 grad_norm: 8.8291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2990 loss: 1.2990 2022/07/23 10:35:35 - mmengine - INFO - Epoch(train) [77][2320/3757] lr: 1.0000e-03 eta: 5:48:10 time: 0.2279 data_time: 0.0231 memory: 6108 grad_norm: 8.8216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/07/23 10:35:40 - mmengine - INFO - Epoch(train) [77][2340/3757] lr: 1.0000e-03 eta: 5:48:06 time: 0.2295 data_time: 0.0223 memory: 6108 grad_norm: 8.9823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1102 loss: 1.1102 2022/07/23 10:35:44 - mmengine - INFO - Epoch(train) [77][2360/3757] lr: 1.0000e-03 eta: 5:48:01 time: 0.2286 data_time: 0.0194 memory: 6108 grad_norm: 8.5238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4304 loss: 1.4304 2022/07/23 10:35:49 - mmengine - INFO - Epoch(train) [77][2380/3757] lr: 1.0000e-03 eta: 5:47:56 time: 0.2552 data_time: 0.0222 memory: 6108 grad_norm: 8.6681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/07/23 10:35:54 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 1.0000e-03 eta: 5:47:51 time: 0.2340 data_time: 0.0238 memory: 6108 grad_norm: 8.5303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/07/23 10:35:59 - mmengine - INFO - Epoch(train) [77][2420/3757] lr: 1.0000e-03 eta: 5:47:47 time: 0.2382 data_time: 0.0233 memory: 6108 grad_norm: 8.7724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3663 loss: 1.3663 2022/07/23 10:36:04 - mmengine - INFO - Epoch(train) [77][2440/3757] lr: 1.0000e-03 eta: 5:47:42 time: 0.2276 data_time: 0.0248 memory: 6108 grad_norm: 9.1615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3868 loss: 1.3868 2022/07/23 10:36:08 - mmengine - INFO - Epoch(train) [77][2460/3757] lr: 1.0000e-03 eta: 5:47:37 time: 0.2424 data_time: 0.0290 memory: 6108 grad_norm: 9.1198 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5100 loss: 1.5100 2022/07/23 10:36:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:36:13 - mmengine - INFO - Epoch(train) [77][2480/3757] lr: 1.0000e-03 eta: 5:47:32 time: 0.2332 data_time: 0.0239 memory: 6108 grad_norm: 8.7761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2541 loss: 1.2541 2022/07/23 10:36:18 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 1.0000e-03 eta: 5:47:28 time: 0.2399 data_time: 0.0337 memory: 6108 grad_norm: 8.7203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1536 loss: 1.1536 2022/07/23 10:36:23 - mmengine - INFO - Epoch(train) [77][2520/3757] lr: 1.0000e-03 eta: 5:47:23 time: 0.2327 data_time: 0.0228 memory: 6108 grad_norm: 8.5704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2498 loss: 1.2498 2022/07/23 10:36:28 - mmengine - INFO - Epoch(train) [77][2540/3757] lr: 1.0000e-03 eta: 5:47:18 time: 0.2437 data_time: 0.0221 memory: 6108 grad_norm: 8.9716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/07/23 10:36:32 - mmengine - INFO - Epoch(train) [77][2560/3757] lr: 1.0000e-03 eta: 5:47:13 time: 0.2268 data_time: 0.0183 memory: 6108 grad_norm: 8.4166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5913 loss: 1.5913 2022/07/23 10:36:37 - mmengine - INFO - Epoch(train) [77][2580/3757] lr: 1.0000e-03 eta: 5:47:08 time: 0.2349 data_time: 0.0282 memory: 6108 grad_norm: 8.5850 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/07/23 10:36:42 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 1.0000e-03 eta: 5:47:04 time: 0.2342 data_time: 0.0237 memory: 6108 grad_norm: 8.6414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1134 loss: 1.1134 2022/07/23 10:36:47 - mmengine - INFO - Epoch(train) [77][2620/3757] lr: 1.0000e-03 eta: 5:46:59 time: 0.2831 data_time: 0.0253 memory: 6108 grad_norm: 8.4769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2965 loss: 1.2965 2022/07/23 10:36:52 - mmengine - INFO - Epoch(train) [77][2640/3757] lr: 1.0000e-03 eta: 5:46:54 time: 0.2170 data_time: 0.0199 memory: 6108 grad_norm: 8.7675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2248 loss: 1.2248 2022/07/23 10:36:56 - mmengine - INFO - Epoch(train) [77][2660/3757] lr: 1.0000e-03 eta: 5:46:50 time: 0.2315 data_time: 0.0204 memory: 6108 grad_norm: 8.7574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2098 loss: 1.2098 2022/07/23 10:37:01 - mmengine - INFO - Epoch(train) [77][2680/3757] lr: 1.0000e-03 eta: 5:46:45 time: 0.2325 data_time: 0.0247 memory: 6108 grad_norm: 8.5584 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/07/23 10:37:06 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 1.0000e-03 eta: 5:46:40 time: 0.2329 data_time: 0.0259 memory: 6108 grad_norm: 8.7460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3871 loss: 1.3871 2022/07/23 10:37:11 - mmengine - INFO - Epoch(train) [77][2720/3757] lr: 1.0000e-03 eta: 5:46:35 time: 0.2464 data_time: 0.0190 memory: 6108 grad_norm: 8.6785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3367 loss: 1.3367 2022/07/23 10:37:15 - mmengine - INFO - Epoch(train) [77][2740/3757] lr: 1.0000e-03 eta: 5:46:30 time: 0.2324 data_time: 0.0259 memory: 6108 grad_norm: 8.7485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/07/23 10:37:20 - mmengine - INFO - Epoch(train) [77][2760/3757] lr: 1.0000e-03 eta: 5:46:26 time: 0.2337 data_time: 0.0252 memory: 6108 grad_norm: 8.8390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4454 loss: 1.4454 2022/07/23 10:37:25 - mmengine - INFO - Epoch(train) [77][2780/3757] lr: 1.0000e-03 eta: 5:46:21 time: 0.2539 data_time: 0.0185 memory: 6108 grad_norm: 8.5531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2235 loss: 1.2235 2022/07/23 10:37:30 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 1.0000e-03 eta: 5:46:16 time: 0.2370 data_time: 0.0179 memory: 6108 grad_norm: 8.9542 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/07/23 10:37:35 - mmengine - INFO - Epoch(train) [77][2820/3757] lr: 1.0000e-03 eta: 5:46:12 time: 0.2387 data_time: 0.0220 memory: 6108 grad_norm: 8.8261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3545 loss: 1.3545 2022/07/23 10:37:39 - mmengine - INFO - Epoch(train) [77][2840/3757] lr: 1.0000e-03 eta: 5:46:07 time: 0.2332 data_time: 0.0254 memory: 6108 grad_norm: 8.8216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/07/23 10:37:44 - mmengine - INFO - Epoch(train) [77][2860/3757] lr: 1.0000e-03 eta: 5:46:02 time: 0.2303 data_time: 0.0295 memory: 6108 grad_norm: 8.7351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1670 loss: 1.1670 2022/07/23 10:37:49 - mmengine - INFO - Epoch(train) [77][2880/3757] lr: 1.0000e-03 eta: 5:45:57 time: 0.2354 data_time: 0.0250 memory: 6108 grad_norm: 8.6879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/07/23 10:37:53 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 1.0000e-03 eta: 5:45:52 time: 0.2394 data_time: 0.0248 memory: 6108 grad_norm: 8.7507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/07/23 10:37:58 - mmengine - INFO - Epoch(train) [77][2920/3757] lr: 1.0000e-03 eta: 5:45:48 time: 0.2488 data_time: 0.0223 memory: 6108 grad_norm: 9.0318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/07/23 10:38:03 - mmengine - INFO - Epoch(train) [77][2940/3757] lr: 1.0000e-03 eta: 5:45:43 time: 0.2291 data_time: 0.0294 memory: 6108 grad_norm: 8.5095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1149 loss: 1.1149 2022/07/23 10:38:08 - mmengine - INFO - Epoch(train) [77][2960/3757] lr: 1.0000e-03 eta: 5:45:38 time: 0.2340 data_time: 0.0213 memory: 6108 grad_norm: 8.5052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/07/23 10:38:12 - mmengine - INFO - Epoch(train) [77][2980/3757] lr: 1.0000e-03 eta: 5:45:33 time: 0.2316 data_time: 0.0209 memory: 6108 grad_norm: 8.8715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3613 loss: 1.3613 2022/07/23 10:38:18 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 1.0000e-03 eta: 5:45:29 time: 0.2532 data_time: 0.0232 memory: 6108 grad_norm: 8.6430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1134 loss: 1.1134 2022/07/23 10:38:22 - mmengine - INFO - Epoch(train) [77][3020/3757] lr: 1.0000e-03 eta: 5:45:24 time: 0.2230 data_time: 0.0229 memory: 6108 grad_norm: 8.7617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2881 loss: 1.2881 2022/07/23 10:38:27 - mmengine - INFO - Epoch(train) [77][3040/3757] lr: 1.0000e-03 eta: 5:45:19 time: 0.2313 data_time: 0.0235 memory: 6108 grad_norm: 8.6573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4466 loss: 1.4466 2022/07/23 10:38:31 - mmengine - INFO - Epoch(train) [77][3060/3757] lr: 1.0000e-03 eta: 5:45:14 time: 0.2320 data_time: 0.0281 memory: 6108 grad_norm: 8.4507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0909 loss: 1.0909 2022/07/23 10:38:36 - mmengine - INFO - Epoch(train) [77][3080/3757] lr: 1.0000e-03 eta: 5:45:09 time: 0.2327 data_time: 0.0226 memory: 6108 grad_norm: 8.8387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3464 loss: 1.3464 2022/07/23 10:38:41 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 1.0000e-03 eta: 5:45:05 time: 0.2376 data_time: 0.0271 memory: 6108 grad_norm: 8.5357 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1116 loss: 1.1116 2022/07/23 10:38:45 - mmengine - INFO - Epoch(train) [77][3120/3757] lr: 1.0000e-03 eta: 5:45:00 time: 0.2321 data_time: 0.0289 memory: 6108 grad_norm: 8.3617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2988 loss: 1.2988 2022/07/23 10:38:50 - mmengine - INFO - Epoch(train) [77][3140/3757] lr: 1.0000e-03 eta: 5:44:55 time: 0.2415 data_time: 0.0220 memory: 6108 grad_norm: 8.4905 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5139 loss: 1.5139 2022/07/23 10:38:55 - mmengine - INFO - Epoch(train) [77][3160/3757] lr: 1.0000e-03 eta: 5:44:50 time: 0.2255 data_time: 0.0225 memory: 6108 grad_norm: 8.6245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/07/23 10:39:00 - mmengine - INFO - Epoch(train) [77][3180/3757] lr: 1.0000e-03 eta: 5:44:46 time: 0.2468 data_time: 0.0253 memory: 6108 grad_norm: 8.6532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/07/23 10:39:04 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 1.0000e-03 eta: 5:44:41 time: 0.2301 data_time: 0.0203 memory: 6108 grad_norm: 8.8910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5125 loss: 1.5125 2022/07/23 10:39:09 - mmengine - INFO - Epoch(train) [77][3220/3757] lr: 1.0000e-03 eta: 5:44:36 time: 0.2502 data_time: 0.0183 memory: 6108 grad_norm: 8.7253 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2634 loss: 1.2634 2022/07/23 10:39:14 - mmengine - INFO - Epoch(train) [77][3240/3757] lr: 1.0000e-03 eta: 5:44:31 time: 0.2330 data_time: 0.0223 memory: 6108 grad_norm: 8.8216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/07/23 10:39:19 - mmengine - INFO - Epoch(train) [77][3260/3757] lr: 1.0000e-03 eta: 5:44:27 time: 0.2318 data_time: 0.0232 memory: 6108 grad_norm: 8.9731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/07/23 10:39:24 - mmengine - INFO - Epoch(train) [77][3280/3757] lr: 1.0000e-03 eta: 5:44:22 time: 0.2360 data_time: 0.0246 memory: 6108 grad_norm: 8.5106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/07/23 10:39:28 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 1.0000e-03 eta: 5:44:17 time: 0.2318 data_time: 0.0208 memory: 6108 grad_norm: 9.0258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/07/23 10:39:33 - mmengine - INFO - Epoch(train) [77][3320/3757] lr: 1.0000e-03 eta: 5:44:12 time: 0.2282 data_time: 0.0238 memory: 6108 grad_norm: 8.9706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/07/23 10:39:38 - mmengine - INFO - Epoch(train) [77][3340/3757] lr: 1.0000e-03 eta: 5:44:08 time: 0.2617 data_time: 0.0305 memory: 6108 grad_norm: 8.6202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/07/23 10:39:43 - mmengine - INFO - Epoch(train) [77][3360/3757] lr: 1.0000e-03 eta: 5:44:03 time: 0.2256 data_time: 0.0211 memory: 6108 grad_norm: 8.8632 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/07/23 10:39:47 - mmengine - INFO - Epoch(train) [77][3380/3757] lr: 1.0000e-03 eta: 5:43:58 time: 0.2369 data_time: 0.0247 memory: 6108 grad_norm: 8.3503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1362 loss: 1.1362 2022/07/23 10:39:52 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 1.0000e-03 eta: 5:43:53 time: 0.2268 data_time: 0.0244 memory: 6108 grad_norm: 8.5404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3704 loss: 1.3704 2022/07/23 10:39:57 - mmengine - INFO - Epoch(train) [77][3420/3757] lr: 1.0000e-03 eta: 5:43:48 time: 0.2323 data_time: 0.0229 memory: 6108 grad_norm: 8.6106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/07/23 10:40:01 - mmengine - INFO - Epoch(train) [77][3440/3757] lr: 1.0000e-03 eta: 5:43:44 time: 0.2288 data_time: 0.0193 memory: 6108 grad_norm: 8.6278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/23 10:40:06 - mmengine - INFO - Epoch(train) [77][3460/3757] lr: 1.0000e-03 eta: 5:43:39 time: 0.2350 data_time: 0.0198 memory: 6108 grad_norm: 8.5892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/07/23 10:40:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:40:11 - mmengine - INFO - Epoch(train) [77][3480/3757] lr: 1.0000e-03 eta: 5:43:34 time: 0.2346 data_time: 0.0260 memory: 6108 grad_norm: 8.6474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3864 loss: 1.3864 2022/07/23 10:40:15 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 1.0000e-03 eta: 5:43:29 time: 0.2349 data_time: 0.0213 memory: 6108 grad_norm: 8.5998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2784 loss: 1.2784 2022/07/23 10:40:20 - mmengine - INFO - Epoch(train) [77][3520/3757] lr: 1.0000e-03 eta: 5:43:25 time: 0.2399 data_time: 0.0250 memory: 6108 grad_norm: 8.8036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/07/23 10:40:25 - mmengine - INFO - Epoch(train) [77][3540/3757] lr: 1.0000e-03 eta: 5:43:20 time: 0.2321 data_time: 0.0309 memory: 6108 grad_norm: 8.6180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2917 loss: 1.2917 2022/07/23 10:40:30 - mmengine - INFO - Epoch(train) [77][3560/3757] lr: 1.0000e-03 eta: 5:43:15 time: 0.2342 data_time: 0.0226 memory: 6108 grad_norm: 8.7566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1213 loss: 1.1213 2022/07/23 10:40:34 - mmengine - INFO - Epoch(train) [77][3580/3757] lr: 1.0000e-03 eta: 5:43:10 time: 0.2320 data_time: 0.0236 memory: 6108 grad_norm: 8.9614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/07/23 10:40:39 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 1.0000e-03 eta: 5:43:05 time: 0.2362 data_time: 0.0235 memory: 6108 grad_norm: 8.8131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2618 loss: 1.2618 2022/07/23 10:40:44 - mmengine - INFO - Epoch(train) [77][3620/3757] lr: 1.0000e-03 eta: 5:43:01 time: 0.2300 data_time: 0.0261 memory: 6108 grad_norm: 8.4795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2171 loss: 1.2171 2022/07/23 10:40:48 - mmengine - INFO - Epoch(train) [77][3640/3757] lr: 1.0000e-03 eta: 5:42:56 time: 0.2397 data_time: 0.0207 memory: 6108 grad_norm: 8.9378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/07/23 10:40:53 - mmengine - INFO - Epoch(train) [77][3660/3757] lr: 1.0000e-03 eta: 5:42:51 time: 0.2279 data_time: 0.0256 memory: 6108 grad_norm: 8.9421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4229 loss: 1.4229 2022/07/23 10:40:58 - mmengine - INFO - Epoch(train) [77][3680/3757] lr: 1.0000e-03 eta: 5:42:46 time: 0.2357 data_time: 0.0220 memory: 6108 grad_norm: 8.7403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2517 loss: 1.2517 2022/07/23 10:41:02 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 1.0000e-03 eta: 5:42:41 time: 0.2295 data_time: 0.0203 memory: 6108 grad_norm: 8.6079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/07/23 10:41:07 - mmengine - INFO - Epoch(train) [77][3720/3757] lr: 1.0000e-03 eta: 5:42:37 time: 0.2347 data_time: 0.0272 memory: 6108 grad_norm: 8.7592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2824 loss: 1.2824 2022/07/23 10:41:12 - mmengine - INFO - Epoch(train) [77][3740/3757] lr: 1.0000e-03 eta: 5:42:32 time: 0.2300 data_time: 0.0218 memory: 6108 grad_norm: 8.5706 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/07/23 10:41:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:41:15 - mmengine - INFO - Epoch(train) [77][3757/3757] lr: 1.0000e-03 eta: 5:42:32 time: 0.1977 data_time: 0.0148 memory: 6108 grad_norm: 8.8370 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.2336 loss: 1.2336 2022/07/23 10:41:21 - mmengine - INFO - Epoch(val) [77][20/310] eta: 0:01:24 time: 0.2902 data_time: 0.2095 memory: 1428 2022/07/23 10:41:25 - mmengine - INFO - Epoch(val) [77][40/310] eta: 0:00:49 time: 0.1837 data_time: 0.1072 memory: 1428 2022/07/23 10:41:29 - mmengine - INFO - Epoch(val) [77][60/310] eta: 0:00:54 time: 0.2183 data_time: 0.1331 memory: 1428 2022/07/23 10:41:33 - mmengine - INFO - Epoch(val) [77][80/310] eta: 0:00:46 time: 0.2009 data_time: 0.1203 memory: 1428 2022/07/23 10:41:38 - mmengine - INFO - Epoch(val) [77][100/310] eta: 0:00:48 time: 0.2325 data_time: 0.1481 memory: 1428 2022/07/23 10:41:41 - mmengine - INFO - Epoch(val) [77][120/310] eta: 0:00:35 time: 0.1870 data_time: 0.1088 memory: 1428 2022/07/23 10:41:47 - mmengine - INFO - Epoch(val) [77][140/310] eta: 0:00:43 time: 0.2580 data_time: 0.1835 memory: 1428 2022/07/23 10:41:50 - mmengine - INFO - Epoch(val) [77][160/310] eta: 0:00:28 time: 0.1885 data_time: 0.1140 memory: 1428 2022/07/23 10:41:55 - mmengine - INFO - Epoch(val) [77][180/310] eta: 0:00:30 time: 0.2370 data_time: 0.1648 memory: 1428 2022/07/23 10:41:59 - mmengine - INFO - Epoch(val) [77][200/310] eta: 0:00:20 time: 0.1875 data_time: 0.0956 memory: 1428 2022/07/23 10:42:03 - mmengine - INFO - Epoch(val) [77][220/310] eta: 0:00:20 time: 0.2274 data_time: 0.1519 memory: 1428 2022/07/23 10:42:09 - mmengine - INFO - Epoch(val) [77][240/310] eta: 0:00:19 time: 0.2762 data_time: 0.2068 memory: 1428 2022/07/23 10:42:19 - mmengine - INFO - Epoch(val) [77][260/310] eta: 0:00:25 time: 0.5027 data_time: 0.4406 memory: 1428 2022/07/23 10:42:26 - mmengine - INFO - Epoch(val) [77][280/310] eta: 0:00:10 time: 0.3577 data_time: 0.2978 memory: 1428 2022/07/23 10:42:31 - mmengine - INFO - Epoch(val) [77][300/310] eta: 0:00:02 time: 0.2318 data_time: 0.1748 memory: 1428 2022/07/23 10:42:39 - mmengine - INFO - Epoch(val) [77][310/310] acc/top1: 0.6517 acc/top5: 0.8593 acc/mean1: 0.6516 2022/07/23 10:42:55 - mmengine - INFO - Epoch(train) [78][20/3757] lr: 1.0000e-03 eta: 5:42:25 time: 0.7679 data_time: 0.0806 memory: 6108 grad_norm: 8.8002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1502 loss: 1.1502 2022/07/23 10:43:06 - mmengine - INFO - Epoch(train) [78][40/3757] lr: 1.0000e-03 eta: 5:42:22 time: 0.5502 data_time: 0.0184 memory: 6108 grad_norm: 8.4888 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2446 loss: 1.2446 2022/07/23 10:43:16 - mmengine - INFO - Epoch(train) [78][60/3757] lr: 1.0000e-03 eta: 5:42:19 time: 0.4934 data_time: 0.0360 memory: 6108 grad_norm: 8.4375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/07/23 10:43:29 - mmengine - INFO - Epoch(train) [78][80/3757] lr: 1.0000e-03 eta: 5:42:17 time: 0.6650 data_time: 0.0141 memory: 6108 grad_norm: 8.3233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1300 loss: 1.1300 2022/07/23 10:43:36 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 1.0000e-03 eta: 5:42:13 time: 0.3523 data_time: 0.0189 memory: 6108 grad_norm: 8.7809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/07/23 10:43:43 - mmengine - INFO - Epoch(train) [78][120/3757] lr: 1.0000e-03 eta: 5:42:09 time: 0.3456 data_time: 0.0125 memory: 6108 grad_norm: 8.3504 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2488 loss: 1.2488 2022/07/23 10:43:51 - mmengine - INFO - Epoch(train) [78][140/3757] lr: 1.0000e-03 eta: 5:42:05 time: 0.3706 data_time: 0.0455 memory: 6108 grad_norm: 8.5635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1675 loss: 1.1675 2022/07/23 10:43:59 - mmengine - INFO - Epoch(train) [78][160/3757] lr: 1.0000e-03 eta: 5:42:01 time: 0.4345 data_time: 0.0149 memory: 6108 grad_norm: 8.6720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2685 loss: 1.2685 2022/07/23 10:44:06 - mmengine - INFO - Epoch(train) [78][180/3757] lr: 1.0000e-03 eta: 5:41:57 time: 0.3467 data_time: 0.0233 memory: 6108 grad_norm: 8.8307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/07/23 10:44:11 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 1.0000e-03 eta: 5:41:52 time: 0.2122 data_time: 0.0221 memory: 6108 grad_norm: 8.7410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2561 loss: 1.2561 2022/07/23 10:44:18 - mmengine - INFO - Epoch(train) [78][220/3757] lr: 1.0000e-03 eta: 5:41:48 time: 0.3769 data_time: 0.1680 memory: 6108 grad_norm: 8.6496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4652 loss: 1.4652 2022/07/23 10:44:25 - mmengine - INFO - Epoch(train) [78][240/3757] lr: 1.0000e-03 eta: 5:41:44 time: 0.3625 data_time: 0.0233 memory: 6108 grad_norm: 8.5215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0806 loss: 1.0806 2022/07/23 10:44:30 - mmengine - INFO - Epoch(train) [78][260/3757] lr: 1.0000e-03 eta: 5:41:39 time: 0.2324 data_time: 0.0216 memory: 6108 grad_norm: 8.4921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4144 loss: 1.4144 2022/07/23 10:44:37 - mmengine - INFO - Epoch(train) [78][280/3757] lr: 1.0000e-03 eta: 5:41:35 time: 0.3598 data_time: 0.0168 memory: 6108 grad_norm: 8.2883 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/07/23 10:44:42 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 1.0000e-03 eta: 5:41:30 time: 0.2335 data_time: 0.0286 memory: 6108 grad_norm: 8.4841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/07/23 10:44:47 - mmengine - INFO - Epoch(train) [78][320/3757] lr: 1.0000e-03 eta: 5:41:26 time: 0.2353 data_time: 0.0251 memory: 6108 grad_norm: 8.7084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1971 loss: 1.1971 2022/07/23 10:44:51 - mmengine - INFO - Epoch(train) [78][340/3757] lr: 1.0000e-03 eta: 5:41:21 time: 0.2267 data_time: 0.0265 memory: 6108 grad_norm: 8.5842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3506 loss: 1.3506 2022/07/23 10:44:56 - mmengine - INFO - Epoch(train) [78][360/3757] lr: 1.0000e-03 eta: 5:41:16 time: 0.2299 data_time: 0.0238 memory: 6108 grad_norm: 8.6249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1783 loss: 1.1783 2022/07/23 10:45:03 - mmengine - INFO - Epoch(train) [78][380/3757] lr: 1.0000e-03 eta: 5:41:12 time: 0.3355 data_time: 0.0175 memory: 6108 grad_norm: 8.5673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0829 loss: 1.0829 2022/07/23 10:45:07 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 1.0000e-03 eta: 5:41:07 time: 0.2334 data_time: 0.0310 memory: 6108 grad_norm: 8.5373 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/23 10:45:12 - mmengine - INFO - Epoch(train) [78][420/3757] lr: 1.0000e-03 eta: 5:41:02 time: 0.2295 data_time: 0.0194 memory: 6108 grad_norm: 8.7036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2499 loss: 1.2499 2022/07/23 10:45:17 - mmengine - INFO - Epoch(train) [78][440/3757] lr: 1.0000e-03 eta: 5:40:57 time: 0.2304 data_time: 0.0193 memory: 6108 grad_norm: 8.4890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2697 loss: 1.2697 2022/07/23 10:45:21 - mmengine - INFO - Epoch(train) [78][460/3757] lr: 1.0000e-03 eta: 5:40:53 time: 0.2378 data_time: 0.0262 memory: 6108 grad_norm: 8.4870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/07/23 10:45:26 - mmengine - INFO - Epoch(train) [78][480/3757] lr: 1.0000e-03 eta: 5:40:48 time: 0.2288 data_time: 0.0216 memory: 6108 grad_norm: 8.7329 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/07/23 10:45:31 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 1.0000e-03 eta: 5:40:43 time: 0.2413 data_time: 0.0228 memory: 6108 grad_norm: 8.9390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/07/23 10:45:36 - mmengine - INFO - Epoch(train) [78][520/3757] lr: 1.0000e-03 eta: 5:40:38 time: 0.2334 data_time: 0.0257 memory: 6108 grad_norm: 8.6487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1597 loss: 1.1597 2022/07/23 10:45:40 - mmengine - INFO - Epoch(train) [78][540/3757] lr: 1.0000e-03 eta: 5:40:34 time: 0.2399 data_time: 0.0256 memory: 6108 grad_norm: 8.2806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2561 loss: 1.2561 2022/07/23 10:45:45 - mmengine - INFO - Epoch(train) [78][560/3757] lr: 1.0000e-03 eta: 5:40:29 time: 0.2279 data_time: 0.0216 memory: 6108 grad_norm: 8.6168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4445 loss: 1.4445 2022/07/23 10:45:50 - mmengine - INFO - Epoch(train) [78][580/3757] lr: 1.0000e-03 eta: 5:40:24 time: 0.2339 data_time: 0.0241 memory: 6108 grad_norm: 8.9989 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2315 loss: 1.2315 2022/07/23 10:45:54 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 1.0000e-03 eta: 5:40:19 time: 0.2331 data_time: 0.0238 memory: 6108 grad_norm: 8.4773 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1196 loss: 1.1196 2022/07/23 10:46:00 - mmengine - INFO - Epoch(train) [78][620/3757] lr: 1.0000e-03 eta: 5:40:15 time: 0.2572 data_time: 0.0200 memory: 6108 grad_norm: 8.6797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4254 loss: 1.4254 2022/07/23 10:46:04 - mmengine - INFO - Epoch(train) [78][640/3757] lr: 1.0000e-03 eta: 5:40:10 time: 0.2307 data_time: 0.0248 memory: 6108 grad_norm: 9.1237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/07/23 10:46:09 - mmengine - INFO - Epoch(train) [78][660/3757] lr: 1.0000e-03 eta: 5:40:05 time: 0.2245 data_time: 0.0236 memory: 6108 grad_norm: 9.1011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/07/23 10:46:13 - mmengine - INFO - Epoch(train) [78][680/3757] lr: 1.0000e-03 eta: 5:40:00 time: 0.2284 data_time: 0.0259 memory: 6108 grad_norm: 9.0568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/07/23 10:46:18 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 1.0000e-03 eta: 5:39:55 time: 0.2557 data_time: 0.0240 memory: 6108 grad_norm: 8.3749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2927 loss: 1.2927 2022/07/23 10:46:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:46:23 - mmengine - INFO - Epoch(train) [78][720/3757] lr: 1.0000e-03 eta: 5:39:51 time: 0.2360 data_time: 0.0187 memory: 6108 grad_norm: 8.8941 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4579 loss: 1.4579 2022/07/23 10:46:28 - mmengine - INFO - Epoch(train) [78][740/3757] lr: 1.0000e-03 eta: 5:39:46 time: 0.2371 data_time: 0.0253 memory: 6108 grad_norm: 8.6489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/07/23 10:46:33 - mmengine - INFO - Epoch(train) [78][760/3757] lr: 1.0000e-03 eta: 5:39:41 time: 0.2356 data_time: 0.0232 memory: 6108 grad_norm: 8.5709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4931 loss: 1.4931 2022/07/23 10:46:38 - mmengine - INFO - Epoch(train) [78][780/3757] lr: 1.0000e-03 eta: 5:39:37 time: 0.2660 data_time: 0.0271 memory: 6108 grad_norm: 8.5909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/07/23 10:46:42 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 1.0000e-03 eta: 5:39:32 time: 0.2211 data_time: 0.0195 memory: 6108 grad_norm: 8.9358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3358 loss: 1.3358 2022/07/23 10:46:47 - mmengine - INFO - Epoch(train) [78][820/3757] lr: 1.0000e-03 eta: 5:39:27 time: 0.2287 data_time: 0.0327 memory: 6108 grad_norm: 8.4853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3411 loss: 1.3411 2022/07/23 10:46:52 - mmengine - INFO - Epoch(train) [78][840/3757] lr: 1.0000e-03 eta: 5:39:22 time: 0.2295 data_time: 0.0217 memory: 6108 grad_norm: 8.7295 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2278 loss: 1.2278 2022/07/23 10:46:56 - mmengine - INFO - Epoch(train) [78][860/3757] lr: 1.0000e-03 eta: 5:39:17 time: 0.2320 data_time: 0.0237 memory: 6108 grad_norm: 8.6701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/07/23 10:47:01 - mmengine - INFO - Epoch(train) [78][880/3757] lr: 1.0000e-03 eta: 5:39:12 time: 0.2401 data_time: 0.0198 memory: 6108 grad_norm: 8.5046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2642 loss: 1.2642 2022/07/23 10:47:06 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 1.0000e-03 eta: 5:39:08 time: 0.2265 data_time: 0.0198 memory: 6108 grad_norm: 8.7209 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3245 loss: 1.3245 2022/07/23 10:47:10 - mmengine - INFO - Epoch(train) [78][920/3757] lr: 1.0000e-03 eta: 5:39:03 time: 0.2322 data_time: 0.0287 memory: 6108 grad_norm: 8.5955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2264 loss: 1.2264 2022/07/23 10:47:15 - mmengine - INFO - Epoch(train) [78][940/3757] lr: 1.0000e-03 eta: 5:38:58 time: 0.2346 data_time: 0.0199 memory: 6108 grad_norm: 8.6049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1347 loss: 1.1347 2022/07/23 10:47:20 - mmengine - INFO - Epoch(train) [78][960/3757] lr: 1.0000e-03 eta: 5:38:53 time: 0.2400 data_time: 0.0208 memory: 6108 grad_norm: 8.8880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/07/23 10:47:25 - mmengine - INFO - Epoch(train) [78][980/3757] lr: 1.0000e-03 eta: 5:38:49 time: 0.2292 data_time: 0.0227 memory: 6108 grad_norm: 8.7568 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2819 loss: 1.2819 2022/07/23 10:47:29 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 1.0000e-03 eta: 5:38:44 time: 0.2278 data_time: 0.0263 memory: 6108 grad_norm: 8.4775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4347 loss: 1.4347 2022/07/23 10:47:34 - mmengine - INFO - Epoch(train) [78][1020/3757] lr: 1.0000e-03 eta: 5:38:39 time: 0.2385 data_time: 0.0275 memory: 6108 grad_norm: 8.8828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2828 loss: 1.2828 2022/07/23 10:47:39 - mmengine - INFO - Epoch(train) [78][1040/3757] lr: 1.0000e-03 eta: 5:38:34 time: 0.2484 data_time: 0.0289 memory: 6108 grad_norm: 8.6281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4820 loss: 1.4820 2022/07/23 10:47:44 - mmengine - INFO - Epoch(train) [78][1060/3757] lr: 1.0000e-03 eta: 5:38:29 time: 0.2291 data_time: 0.0246 memory: 6108 grad_norm: 8.6889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/07/23 10:47:48 - mmengine - INFO - Epoch(train) [78][1080/3757] lr: 1.0000e-03 eta: 5:38:25 time: 0.2252 data_time: 0.0246 memory: 6108 grad_norm: 8.3951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3391 loss: 1.3391 2022/07/23 10:47:53 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 1.0000e-03 eta: 5:38:20 time: 0.2379 data_time: 0.0255 memory: 6108 grad_norm: 8.7602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3029 loss: 1.3029 2022/07/23 10:47:58 - mmengine - INFO - Epoch(train) [78][1120/3757] lr: 1.0000e-03 eta: 5:38:15 time: 0.2433 data_time: 0.0280 memory: 6108 grad_norm: 8.9079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2737 loss: 1.2737 2022/07/23 10:48:02 - mmengine - INFO - Epoch(train) [78][1140/3757] lr: 1.0000e-03 eta: 5:38:10 time: 0.2293 data_time: 0.0260 memory: 6108 grad_norm: 8.9632 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3610 loss: 1.3610 2022/07/23 10:48:07 - mmengine - INFO - Epoch(train) [78][1160/3757] lr: 1.0000e-03 eta: 5:38:06 time: 0.2306 data_time: 0.0280 memory: 6108 grad_norm: 8.8328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/07/23 10:48:12 - mmengine - INFO - Epoch(train) [78][1180/3757] lr: 1.0000e-03 eta: 5:38:01 time: 0.2266 data_time: 0.0211 memory: 6108 grad_norm: 8.3204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1158 loss: 1.1158 2022/07/23 10:48:16 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 1.0000e-03 eta: 5:37:56 time: 0.2341 data_time: 0.0274 memory: 6108 grad_norm: 8.6790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3755 loss: 1.3755 2022/07/23 10:48:21 - mmengine - INFO - Epoch(train) [78][1220/3757] lr: 1.0000e-03 eta: 5:37:51 time: 0.2395 data_time: 0.0271 memory: 6108 grad_norm: 8.7973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3874 loss: 1.3874 2022/07/23 10:48:26 - mmengine - INFO - Epoch(train) [78][1240/3757] lr: 1.0000e-03 eta: 5:37:46 time: 0.2287 data_time: 0.0219 memory: 6108 grad_norm: 8.3968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/07/23 10:48:30 - mmengine - INFO - Epoch(train) [78][1260/3757] lr: 1.0000e-03 eta: 5:37:42 time: 0.2379 data_time: 0.0200 memory: 6108 grad_norm: 8.6661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/07/23 10:48:35 - mmengine - INFO - Epoch(train) [78][1280/3757] lr: 1.0000e-03 eta: 5:37:37 time: 0.2308 data_time: 0.0289 memory: 6108 grad_norm: 9.0813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4107 loss: 1.4107 2022/07/23 10:48:40 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 1.0000e-03 eta: 5:37:32 time: 0.2501 data_time: 0.0229 memory: 6108 grad_norm: 8.6619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4508 loss: 1.4508 2022/07/23 10:48:45 - mmengine - INFO - Epoch(train) [78][1320/3757] lr: 1.0000e-03 eta: 5:37:27 time: 0.2299 data_time: 0.0222 memory: 6108 grad_norm: 8.3912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2052 loss: 1.2052 2022/07/23 10:48:49 - mmengine - INFO - Epoch(train) [78][1340/3757] lr: 1.0000e-03 eta: 5:37:23 time: 0.2325 data_time: 0.0260 memory: 6108 grad_norm: 9.1555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0946 loss: 1.0946 2022/07/23 10:48:54 - mmengine - INFO - Epoch(train) [78][1360/3757] lr: 1.0000e-03 eta: 5:37:18 time: 0.2297 data_time: 0.0238 memory: 6108 grad_norm: 8.2476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4419 loss: 1.4419 2022/07/23 10:48:59 - mmengine - INFO - Epoch(train) [78][1380/3757] lr: 1.0000e-03 eta: 5:37:13 time: 0.2437 data_time: 0.0168 memory: 6108 grad_norm: 9.0223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2493 loss: 1.2493 2022/07/23 10:49:04 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 1.0000e-03 eta: 5:37:08 time: 0.2324 data_time: 0.0284 memory: 6108 grad_norm: 8.3400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3470 loss: 1.3470 2022/07/23 10:49:08 - mmengine - INFO - Epoch(train) [78][1420/3757] lr: 1.0000e-03 eta: 5:37:03 time: 0.2289 data_time: 0.0200 memory: 6108 grad_norm: 8.6237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1223 loss: 1.1223 2022/07/23 10:49:13 - mmengine - INFO - Epoch(train) [78][1440/3757] lr: 1.0000e-03 eta: 5:36:59 time: 0.2300 data_time: 0.0273 memory: 6108 grad_norm: 8.7429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4233 loss: 1.4233 2022/07/23 10:49:18 - mmengine - INFO - Epoch(train) [78][1460/3757] lr: 1.0000e-03 eta: 5:36:54 time: 0.2624 data_time: 0.0303 memory: 6108 grad_norm: 8.7637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1675 loss: 1.1675 2022/07/23 10:49:23 - mmengine - INFO - Epoch(train) [78][1480/3757] lr: 1.0000e-03 eta: 5:36:49 time: 0.2265 data_time: 0.0192 memory: 6108 grad_norm: 8.3954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4110 loss: 1.4110 2022/07/23 10:49:27 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 1.0000e-03 eta: 5:36:44 time: 0.2285 data_time: 0.0184 memory: 6108 grad_norm: 8.9732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4554 loss: 1.4554 2022/07/23 10:49:32 - mmengine - INFO - Epoch(train) [78][1520/3757] lr: 1.0000e-03 eta: 5:36:40 time: 0.2321 data_time: 0.0234 memory: 6108 grad_norm: 8.7072 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5649 loss: 1.5649 2022/07/23 10:49:37 - mmengine - INFO - Epoch(train) [78][1540/3757] lr: 1.0000e-03 eta: 5:36:35 time: 0.2292 data_time: 0.0228 memory: 6108 grad_norm: 8.6396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/07/23 10:49:42 - mmengine - INFO - Epoch(train) [78][1560/3757] lr: 1.0000e-03 eta: 5:36:30 time: 0.2617 data_time: 0.0183 memory: 6108 grad_norm: 8.5826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1054 loss: 1.1054 2022/07/23 10:49:46 - mmengine - INFO - Epoch(train) [78][1580/3757] lr: 1.0000e-03 eta: 5:36:25 time: 0.2297 data_time: 0.0242 memory: 6108 grad_norm: 8.6444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/07/23 10:49:51 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 1.0000e-03 eta: 5:36:21 time: 0.2405 data_time: 0.0164 memory: 6108 grad_norm: 8.7242 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3338 loss: 1.3338 2022/07/23 10:49:56 - mmengine - INFO - Epoch(train) [78][1620/3757] lr: 1.0000e-03 eta: 5:36:16 time: 0.2267 data_time: 0.0235 memory: 6108 grad_norm: 8.7881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3984 loss: 1.3984 2022/07/23 10:50:01 - mmengine - INFO - Epoch(train) [78][1640/3757] lr: 1.0000e-03 eta: 5:36:11 time: 0.2416 data_time: 0.0234 memory: 6108 grad_norm: 8.9455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/07/23 10:50:05 - mmengine - INFO - Epoch(train) [78][1660/3757] lr: 1.0000e-03 eta: 5:36:06 time: 0.2325 data_time: 0.0179 memory: 6108 grad_norm: 8.5217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1368 loss: 1.1368 2022/07/23 10:50:10 - mmengine - INFO - Epoch(train) [78][1680/3757] lr: 1.0000e-03 eta: 5:36:01 time: 0.2373 data_time: 0.0266 memory: 6108 grad_norm: 8.4887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2844 loss: 1.2844 2022/07/23 10:50:15 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 1.0000e-03 eta: 5:35:57 time: 0.2319 data_time: 0.0232 memory: 6108 grad_norm: 8.3297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2181 loss: 1.2181 2022/07/23 10:50:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:50:20 - mmengine - INFO - Epoch(train) [78][1720/3757] lr: 1.0000e-03 eta: 5:35:52 time: 0.2493 data_time: 0.0213 memory: 6108 grad_norm: 8.7392 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2339 loss: 1.2339 2022/07/23 10:50:24 - mmengine - INFO - Epoch(train) [78][1740/3757] lr: 1.0000e-03 eta: 5:35:47 time: 0.2263 data_time: 0.0257 memory: 6108 grad_norm: 8.6562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0422 loss: 1.0422 2022/07/23 10:50:29 - mmengine - INFO - Epoch(train) [78][1760/3757] lr: 1.0000e-03 eta: 5:35:42 time: 0.2332 data_time: 0.0234 memory: 6108 grad_norm: 8.5899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5290 loss: 1.5290 2022/07/23 10:50:34 - mmengine - INFO - Epoch(train) [78][1780/3757] lr: 1.0000e-03 eta: 5:35:38 time: 0.2315 data_time: 0.0261 memory: 6108 grad_norm: 8.7210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5816 loss: 1.5816 2022/07/23 10:50:39 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 1.0000e-03 eta: 5:35:33 time: 0.2448 data_time: 0.0211 memory: 6108 grad_norm: 8.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/07/23 10:50:43 - mmengine - INFO - Epoch(train) [78][1820/3757] lr: 1.0000e-03 eta: 5:35:28 time: 0.2278 data_time: 0.0239 memory: 6108 grad_norm: 9.0219 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3248 loss: 1.3248 2022/07/23 10:50:48 - mmengine - INFO - Epoch(train) [78][1840/3757] lr: 1.0000e-03 eta: 5:35:23 time: 0.2289 data_time: 0.0192 memory: 6108 grad_norm: 8.5859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5305 loss: 1.5305 2022/07/23 10:50:53 - mmengine - INFO - Epoch(train) [78][1860/3757] lr: 1.0000e-03 eta: 5:35:18 time: 0.2344 data_time: 0.0218 memory: 6108 grad_norm: 8.8173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3919 loss: 1.3919 2022/07/23 10:50:57 - mmengine - INFO - Epoch(train) [78][1880/3757] lr: 1.0000e-03 eta: 5:35:14 time: 0.2348 data_time: 0.0256 memory: 6108 grad_norm: 8.6389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/07/23 10:51:02 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 1.0000e-03 eta: 5:35:09 time: 0.2519 data_time: 0.0428 memory: 6108 grad_norm: 8.8669 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3299 loss: 1.3299 2022/07/23 10:51:07 - mmengine - INFO - Epoch(train) [78][1920/3757] lr: 1.0000e-03 eta: 5:35:04 time: 0.2218 data_time: 0.0157 memory: 6108 grad_norm: 8.5468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4200 loss: 1.4200 2022/07/23 10:51:12 - mmengine - INFO - Epoch(train) [78][1940/3757] lr: 1.0000e-03 eta: 5:34:59 time: 0.2425 data_time: 0.0260 memory: 6108 grad_norm: 8.7245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4829 loss: 1.4829 2022/07/23 10:51:16 - mmengine - INFO - Epoch(train) [78][1960/3757] lr: 1.0000e-03 eta: 5:34:55 time: 0.2268 data_time: 0.0278 memory: 6108 grad_norm: 8.6171 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4206 loss: 1.4206 2022/07/23 10:51:21 - mmengine - INFO - Epoch(train) [78][1980/3757] lr: 1.0000e-03 eta: 5:34:50 time: 0.2345 data_time: 0.0229 memory: 6108 grad_norm: 8.6958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/07/23 10:51:26 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 1.0000e-03 eta: 5:34:45 time: 0.2365 data_time: 0.0262 memory: 6108 grad_norm: 8.7463 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4414 loss: 1.4414 2022/07/23 10:51:30 - mmengine - INFO - Epoch(train) [78][2020/3757] lr: 1.0000e-03 eta: 5:34:40 time: 0.2340 data_time: 0.0177 memory: 6108 grad_norm: 9.0891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3252 loss: 1.3252 2022/07/23 10:51:35 - mmengine - INFO - Epoch(train) [78][2040/3757] lr: 1.0000e-03 eta: 5:34:35 time: 0.2290 data_time: 0.0230 memory: 6108 grad_norm: 8.5447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1902 loss: 1.1902 2022/07/23 10:51:40 - mmengine - INFO - Epoch(train) [78][2060/3757] lr: 1.0000e-03 eta: 5:34:31 time: 0.2342 data_time: 0.0236 memory: 6108 grad_norm: 8.7137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3925 loss: 1.3925 2022/07/23 10:51:44 - mmengine - INFO - Epoch(train) [78][2080/3757] lr: 1.0000e-03 eta: 5:34:26 time: 0.2288 data_time: 0.0210 memory: 6108 grad_norm: 8.6231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/07/23 10:51:49 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 1.0000e-03 eta: 5:34:21 time: 0.2358 data_time: 0.0259 memory: 6108 grad_norm: 8.6367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/07/23 10:51:54 - mmengine - INFO - Epoch(train) [78][2120/3757] lr: 1.0000e-03 eta: 5:34:16 time: 0.2310 data_time: 0.0231 memory: 6108 grad_norm: 8.7377 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/07/23 10:51:59 - mmengine - INFO - Epoch(train) [78][2140/3757] lr: 1.0000e-03 eta: 5:34:11 time: 0.2361 data_time: 0.0222 memory: 6108 grad_norm: 8.6739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4856 loss: 1.4856 2022/07/23 10:52:03 - mmengine - INFO - Epoch(train) [78][2160/3757] lr: 1.0000e-03 eta: 5:34:07 time: 0.2239 data_time: 0.0194 memory: 6108 grad_norm: 8.7609 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1240 loss: 1.1240 2022/07/23 10:52:08 - mmengine - INFO - Epoch(train) [78][2180/3757] lr: 1.0000e-03 eta: 5:34:02 time: 0.2623 data_time: 0.0231 memory: 6108 grad_norm: 8.6882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2956 loss: 1.2956 2022/07/23 10:52:13 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 1.0000e-03 eta: 5:33:57 time: 0.2231 data_time: 0.0192 memory: 6108 grad_norm: 8.4243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1741 loss: 1.1741 2022/07/23 10:52:17 - mmengine - INFO - Epoch(train) [78][2220/3757] lr: 1.0000e-03 eta: 5:33:52 time: 0.2301 data_time: 0.0226 memory: 6108 grad_norm: 8.6809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4293 loss: 1.4293 2022/07/23 10:52:22 - mmengine - INFO - Epoch(train) [78][2240/3757] lr: 1.0000e-03 eta: 5:33:48 time: 0.2331 data_time: 0.0220 memory: 6108 grad_norm: 8.5625 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3243 loss: 1.3243 2022/07/23 10:52:27 - mmengine - INFO - Epoch(train) [78][2260/3757] lr: 1.0000e-03 eta: 5:33:43 time: 0.2294 data_time: 0.0186 memory: 6108 grad_norm: 8.8422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7375 loss: 1.7375 2022/07/23 10:52:32 - mmengine - INFO - Epoch(train) [78][2280/3757] lr: 1.0000e-03 eta: 5:33:38 time: 0.2745 data_time: 0.0646 memory: 6108 grad_norm: 9.0982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3368 loss: 1.3368 2022/07/23 10:52:37 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 1.0000e-03 eta: 5:33:33 time: 0.2329 data_time: 0.0244 memory: 6108 grad_norm: 9.1100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3520 loss: 1.3520 2022/07/23 10:52:42 - mmengine - INFO - Epoch(train) [78][2320/3757] lr: 1.0000e-03 eta: 5:33:29 time: 0.2284 data_time: 0.0192 memory: 6108 grad_norm: 8.7016 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3933 loss: 1.3933 2022/07/23 10:52:46 - mmengine - INFO - Epoch(train) [78][2340/3757] lr: 1.0000e-03 eta: 5:33:24 time: 0.2287 data_time: 0.0206 memory: 6108 grad_norm: 8.7072 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4271 loss: 1.4271 2022/07/23 10:52:51 - mmengine - INFO - Epoch(train) [78][2360/3757] lr: 1.0000e-03 eta: 5:33:19 time: 0.2405 data_time: 0.0189 memory: 6108 grad_norm: 9.1359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4076 loss: 1.4076 2022/07/23 10:52:56 - mmengine - INFO - Epoch(train) [78][2380/3757] lr: 1.0000e-03 eta: 5:33:14 time: 0.2324 data_time: 0.0202 memory: 6108 grad_norm: 8.3745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1786 loss: 1.1786 2022/07/23 10:53:00 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 1.0000e-03 eta: 5:33:09 time: 0.2330 data_time: 0.0246 memory: 6108 grad_norm: 8.8270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3182 loss: 1.3182 2022/07/23 10:53:05 - mmengine - INFO - Epoch(train) [78][2420/3757] lr: 1.0000e-03 eta: 5:33:05 time: 0.2352 data_time: 0.0252 memory: 6108 grad_norm: 8.8964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2672 loss: 1.2672 2022/07/23 10:53:10 - mmengine - INFO - Epoch(train) [78][2440/3757] lr: 1.0000e-03 eta: 5:33:00 time: 0.2349 data_time: 0.0187 memory: 6108 grad_norm: 8.3808 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4321 loss: 1.4321 2022/07/23 10:53:14 - mmengine - INFO - Epoch(train) [78][2460/3757] lr: 1.0000e-03 eta: 5:32:55 time: 0.2293 data_time: 0.0219 memory: 6108 grad_norm: 8.7934 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2956 loss: 1.2956 2022/07/23 10:53:19 - mmengine - INFO - Epoch(train) [78][2480/3757] lr: 1.0000e-03 eta: 5:32:50 time: 0.2280 data_time: 0.0225 memory: 6108 grad_norm: 8.6409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1533 loss: 1.1533 2022/07/23 10:53:24 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 1.0000e-03 eta: 5:32:45 time: 0.2311 data_time: 0.0201 memory: 6108 grad_norm: 8.7870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0852 loss: 1.0852 2022/07/23 10:53:29 - mmengine - INFO - Epoch(train) [78][2520/3757] lr: 1.0000e-03 eta: 5:32:41 time: 0.2473 data_time: 0.0191 memory: 6108 grad_norm: 8.6845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/07/23 10:53:33 - mmengine - INFO - Epoch(train) [78][2540/3757] lr: 1.0000e-03 eta: 5:32:36 time: 0.2254 data_time: 0.0227 memory: 6108 grad_norm: 8.7757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4021 loss: 1.4021 2022/07/23 10:53:38 - mmengine - INFO - Epoch(train) [78][2560/3757] lr: 1.0000e-03 eta: 5:32:31 time: 0.2347 data_time: 0.0270 memory: 6108 grad_norm: 9.0193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2441 loss: 1.2441 2022/07/23 10:53:43 - mmengine - INFO - Epoch(train) [78][2580/3757] lr: 1.0000e-03 eta: 5:32:26 time: 0.2498 data_time: 0.0209 memory: 6108 grad_norm: 8.8111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/07/23 10:53:48 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 1.0000e-03 eta: 5:32:22 time: 0.2363 data_time: 0.0176 memory: 6108 grad_norm: 9.0838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/07/23 10:53:53 - mmengine - INFO - Epoch(train) [78][2620/3757] lr: 1.0000e-03 eta: 5:32:17 time: 0.2427 data_time: 0.0202 memory: 6108 grad_norm: 8.2778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/07/23 10:53:57 - mmengine - INFO - Epoch(train) [78][2640/3757] lr: 1.0000e-03 eta: 5:32:12 time: 0.2287 data_time: 0.0201 memory: 6108 grad_norm: 8.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/07/23 10:54:02 - mmengine - INFO - Epoch(train) [78][2660/3757] lr: 1.0000e-03 eta: 5:32:07 time: 0.2317 data_time: 0.0236 memory: 6108 grad_norm: 8.6289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1179 loss: 1.1179 2022/07/23 10:54:06 - mmengine - INFO - Epoch(train) [78][2680/3757] lr: 1.0000e-03 eta: 5:32:03 time: 0.2297 data_time: 0.0212 memory: 6108 grad_norm: 8.6296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/07/23 10:54:11 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 1.0000e-03 eta: 5:31:58 time: 0.2449 data_time: 0.0230 memory: 6108 grad_norm: 8.9583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3399 loss: 1.3399 2022/07/23 10:54:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:54:16 - mmengine - INFO - Epoch(train) [78][2720/3757] lr: 1.0000e-03 eta: 5:31:53 time: 0.2304 data_time: 0.0262 memory: 6108 grad_norm: 8.6193 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0992 loss: 1.0992 2022/07/23 10:54:21 - mmengine - INFO - Epoch(train) [78][2740/3757] lr: 1.0000e-03 eta: 5:31:48 time: 0.2327 data_time: 0.0219 memory: 6108 grad_norm: 8.4060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1090 loss: 1.1090 2022/07/23 10:54:25 - mmengine - INFO - Epoch(train) [78][2760/3757] lr: 1.0000e-03 eta: 5:31:43 time: 0.2285 data_time: 0.0196 memory: 6108 grad_norm: 8.7888 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3040 loss: 1.3040 2022/07/23 10:54:30 - mmengine - INFO - Epoch(train) [78][2780/3757] lr: 1.0000e-03 eta: 5:31:39 time: 0.2363 data_time: 0.0221 memory: 6108 grad_norm: 8.9382 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2204 loss: 1.2204 2022/07/23 10:54:35 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 1.0000e-03 eta: 5:31:34 time: 0.2371 data_time: 0.0279 memory: 6108 grad_norm: 9.0184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1111 loss: 1.1111 2022/07/23 10:54:39 - mmengine - INFO - Epoch(train) [78][2820/3757] lr: 1.0000e-03 eta: 5:31:29 time: 0.2270 data_time: 0.0200 memory: 6108 grad_norm: 8.8115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2390 loss: 1.2390 2022/07/23 10:54:44 - mmengine - INFO - Epoch(train) [78][2840/3757] lr: 1.0000e-03 eta: 5:31:24 time: 0.2301 data_time: 0.0225 memory: 6108 grad_norm: 8.4536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1010 loss: 1.1010 2022/07/23 10:54:49 - mmengine - INFO - Epoch(train) [78][2860/3757] lr: 1.0000e-03 eta: 5:31:20 time: 0.2389 data_time: 0.0244 memory: 6108 grad_norm: 8.5900 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4476 loss: 1.4476 2022/07/23 10:54:53 - mmengine - INFO - Epoch(train) [78][2880/3757] lr: 1.0000e-03 eta: 5:31:15 time: 0.2257 data_time: 0.0206 memory: 6108 grad_norm: 9.1276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2590 loss: 1.2590 2022/07/23 10:54:58 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 1.0000e-03 eta: 5:31:10 time: 0.2294 data_time: 0.0209 memory: 6108 grad_norm: 8.5644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/07/23 10:55:03 - mmengine - INFO - Epoch(train) [78][2920/3757] lr: 1.0000e-03 eta: 5:31:05 time: 0.2291 data_time: 0.0187 memory: 6108 grad_norm: 8.9301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4293 loss: 1.4293 2022/07/23 10:55:07 - mmengine - INFO - Epoch(train) [78][2940/3757] lr: 1.0000e-03 eta: 5:31:00 time: 0.2288 data_time: 0.0220 memory: 6108 grad_norm: 9.2410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2995 loss: 1.2995 2022/07/23 10:55:12 - mmengine - INFO - Epoch(train) [78][2960/3757] lr: 1.0000e-03 eta: 5:30:56 time: 0.2357 data_time: 0.0261 memory: 6108 grad_norm: 8.9043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9126 loss: 0.9126 2022/07/23 10:55:16 - mmengine - INFO - Epoch(train) [78][2980/3757] lr: 1.0000e-03 eta: 5:30:51 time: 0.2294 data_time: 0.0259 memory: 6108 grad_norm: 8.9948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3601 loss: 1.3601 2022/07/23 10:55:21 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 1.0000e-03 eta: 5:30:46 time: 0.2325 data_time: 0.0224 memory: 6108 grad_norm: 8.7412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7462 loss: 1.7462 2022/07/23 10:55:26 - mmengine - INFO - Epoch(train) [78][3020/3757] lr: 1.0000e-03 eta: 5:30:41 time: 0.2580 data_time: 0.0311 memory: 6108 grad_norm: 8.9173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3107 loss: 1.3107 2022/07/23 10:55:31 - mmengine - INFO - Epoch(train) [78][3040/3757] lr: 1.0000e-03 eta: 5:30:37 time: 0.2376 data_time: 0.0167 memory: 6108 grad_norm: 8.8689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/07/23 10:55:36 - mmengine - INFO - Epoch(train) [78][3060/3757] lr: 1.0000e-03 eta: 5:30:32 time: 0.2266 data_time: 0.0192 memory: 6108 grad_norm: 8.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2643 loss: 1.2643 2022/07/23 10:55:40 - mmengine - INFO - Epoch(train) [78][3080/3757] lr: 1.0000e-03 eta: 5:30:27 time: 0.2306 data_time: 0.0248 memory: 6108 grad_norm: 8.9870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2894 loss: 1.2894 2022/07/23 10:55:45 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 1.0000e-03 eta: 5:30:22 time: 0.2365 data_time: 0.0276 memory: 6108 grad_norm: 8.6998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3743 loss: 1.3743 2022/07/23 10:55:50 - mmengine - INFO - Epoch(train) [78][3120/3757] lr: 1.0000e-03 eta: 5:30:17 time: 0.2494 data_time: 0.0268 memory: 6108 grad_norm: 8.8224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3247 loss: 1.3247 2022/07/23 10:55:55 - mmengine - INFO - Epoch(train) [78][3140/3757] lr: 1.0000e-03 eta: 5:30:13 time: 0.2279 data_time: 0.0272 memory: 6108 grad_norm: 9.0107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2632 loss: 1.2632 2022/07/23 10:55:59 - mmengine - INFO - Epoch(train) [78][3160/3757] lr: 1.0000e-03 eta: 5:30:08 time: 0.2252 data_time: 0.0264 memory: 6108 grad_norm: 8.6281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/07/23 10:56:04 - mmengine - INFO - Epoch(train) [78][3180/3757] lr: 1.0000e-03 eta: 5:30:03 time: 0.2250 data_time: 0.0189 memory: 6108 grad_norm: 9.0448 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2182 loss: 1.2182 2022/07/23 10:56:09 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 1.0000e-03 eta: 5:29:58 time: 0.2654 data_time: 0.0273 memory: 6108 grad_norm: 8.8144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3401 loss: 1.3401 2022/07/23 10:56:14 - mmengine - INFO - Epoch(train) [78][3220/3757] lr: 1.0000e-03 eta: 5:29:53 time: 0.2227 data_time: 0.0196 memory: 6108 grad_norm: 8.5747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2084 loss: 1.2084 2022/07/23 10:56:18 - mmengine - INFO - Epoch(train) [78][3240/3757] lr: 1.0000e-03 eta: 5:29:49 time: 0.2297 data_time: 0.0240 memory: 6108 grad_norm: 9.0289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3553 loss: 1.3553 2022/07/23 10:56:23 - mmengine - INFO - Epoch(train) [78][3260/3757] lr: 1.0000e-03 eta: 5:29:44 time: 0.2300 data_time: 0.0322 memory: 6108 grad_norm: 8.4372 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0632 loss: 1.0632 2022/07/23 10:56:27 - mmengine - INFO - Epoch(train) [78][3280/3757] lr: 1.0000e-03 eta: 5:29:39 time: 0.2267 data_time: 0.0192 memory: 6108 grad_norm: 9.0280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/07/23 10:56:32 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 1.0000e-03 eta: 5:29:34 time: 0.2530 data_time: 0.0261 memory: 6108 grad_norm: 8.7317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3644 loss: 1.3644 2022/07/23 10:56:37 - mmengine - INFO - Epoch(train) [78][3320/3757] lr: 1.0000e-03 eta: 5:29:30 time: 0.2341 data_time: 0.0278 memory: 6108 grad_norm: 8.7868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/07/23 10:56:42 - mmengine - INFO - Epoch(train) [78][3340/3757] lr: 1.0000e-03 eta: 5:29:25 time: 0.2268 data_time: 0.0205 memory: 6108 grad_norm: 8.6050 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/07/23 10:56:46 - mmengine - INFO - Epoch(train) [78][3360/3757] lr: 1.0000e-03 eta: 5:29:20 time: 0.2340 data_time: 0.0233 memory: 6108 grad_norm: 8.7845 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2050 loss: 1.2050 2022/07/23 10:56:51 - mmengine - INFO - Epoch(train) [78][3380/3757] lr: 1.0000e-03 eta: 5:29:15 time: 0.2430 data_time: 0.0218 memory: 6108 grad_norm: 8.6954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3074 loss: 1.3074 2022/07/23 10:56:56 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 1.0000e-03 eta: 5:29:11 time: 0.2368 data_time: 0.0325 memory: 6108 grad_norm: 8.5896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/07/23 10:57:01 - mmengine - INFO - Epoch(train) [78][3420/3757] lr: 1.0000e-03 eta: 5:29:06 time: 0.2372 data_time: 0.0225 memory: 6108 grad_norm: 8.4035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4668 loss: 1.4668 2022/07/23 10:57:05 - mmengine - INFO - Epoch(train) [78][3440/3757] lr: 1.0000e-03 eta: 5:29:01 time: 0.2262 data_time: 0.0271 memory: 6108 grad_norm: 8.4328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2775 loss: 1.2775 2022/07/23 10:57:10 - mmengine - INFO - Epoch(train) [78][3460/3757] lr: 1.0000e-03 eta: 5:28:56 time: 0.2470 data_time: 0.0313 memory: 6108 grad_norm: 8.5813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9224 loss: 0.9224 2022/07/23 10:57:15 - mmengine - INFO - Epoch(train) [78][3480/3757] lr: 1.0000e-03 eta: 5:28:51 time: 0.2285 data_time: 0.0227 memory: 6108 grad_norm: 9.0864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/07/23 10:57:20 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 1.0000e-03 eta: 5:28:47 time: 0.2314 data_time: 0.0258 memory: 6108 grad_norm: 8.7476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1931 loss: 1.1931 2022/07/23 10:57:24 - mmengine - INFO - Epoch(train) [78][3520/3757] lr: 1.0000e-03 eta: 5:28:42 time: 0.2319 data_time: 0.0217 memory: 6108 grad_norm: 8.4310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/07/23 10:57:29 - mmengine - INFO - Epoch(train) [78][3540/3757] lr: 1.0000e-03 eta: 5:28:37 time: 0.2506 data_time: 0.0248 memory: 6108 grad_norm: 8.5795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2895 loss: 1.2895 2022/07/23 10:57:34 - mmengine - INFO - Epoch(train) [78][3560/3757] lr: 1.0000e-03 eta: 5:28:32 time: 0.2262 data_time: 0.0216 memory: 6108 grad_norm: 9.0912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/07/23 10:57:38 - mmengine - INFO - Epoch(train) [78][3580/3757] lr: 1.0000e-03 eta: 5:28:27 time: 0.2270 data_time: 0.0248 memory: 6108 grad_norm: 8.5993 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/07/23 10:57:43 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 1.0000e-03 eta: 5:28:23 time: 0.2312 data_time: 0.0198 memory: 6108 grad_norm: 8.7694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3457 loss: 1.3457 2022/07/23 10:57:48 - mmengine - INFO - Epoch(train) [78][3620/3757] lr: 1.0000e-03 eta: 5:28:18 time: 0.2317 data_time: 0.0236 memory: 6108 grad_norm: 8.5462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1576 loss: 1.1576 2022/07/23 10:57:53 - mmengine - INFO - Epoch(train) [78][3640/3757] lr: 1.0000e-03 eta: 5:28:13 time: 0.2425 data_time: 0.0259 memory: 6108 grad_norm: 9.0271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3569 loss: 1.3569 2022/07/23 10:57:57 - mmengine - INFO - Epoch(train) [78][3660/3757] lr: 1.0000e-03 eta: 5:28:08 time: 0.2314 data_time: 0.0202 memory: 6108 grad_norm: 8.9274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2161 loss: 1.2161 2022/07/23 10:58:02 - mmengine - INFO - Epoch(train) [78][3680/3757] lr: 1.0000e-03 eta: 5:28:04 time: 0.2304 data_time: 0.0316 memory: 6108 grad_norm: 8.4682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1074 loss: 1.1074 2022/07/23 10:58:06 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 1.0000e-03 eta: 5:27:59 time: 0.2262 data_time: 0.0226 memory: 6108 grad_norm: 8.6554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2739 loss: 1.2739 2022/07/23 10:58:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:58:11 - mmengine - INFO - Epoch(train) [78][3720/3757] lr: 1.0000e-03 eta: 5:27:54 time: 0.2456 data_time: 0.0244 memory: 6108 grad_norm: 9.0907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/07/23 10:58:16 - mmengine - INFO - Epoch(train) [78][3740/3757] lr: 1.0000e-03 eta: 5:27:49 time: 0.2343 data_time: 0.0227 memory: 6108 grad_norm: 8.4929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3398 loss: 1.3398 2022/07/23 10:58:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 10:58:19 - mmengine - INFO - Epoch(train) [78][3757/3757] lr: 1.0000e-03 eta: 5:27:49 time: 0.1953 data_time: 0.0163 memory: 6108 grad_norm: 8.3856 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1150 loss: 1.1150 2022/07/23 10:58:25 - mmengine - INFO - Epoch(val) [78][20/310] eta: 0:01:26 time: 0.2990 data_time: 0.2100 memory: 1428 2022/07/23 10:58:29 - mmengine - INFO - Epoch(val) [78][40/310] eta: 0:00:48 time: 0.1793 data_time: 0.1029 memory: 1428 2022/07/23 10:58:34 - mmengine - INFO - Epoch(val) [78][60/310] eta: 0:00:56 time: 0.2266 data_time: 0.1488 memory: 1428 2022/07/23 10:58:37 - mmengine - INFO - Epoch(val) [78][80/310] eta: 0:00:44 time: 0.1943 data_time: 0.1166 memory: 1428 2022/07/23 10:58:42 - mmengine - INFO - Epoch(val) [78][100/310] eta: 0:00:45 time: 0.2180 data_time: 0.1349 memory: 1428 2022/07/23 10:58:46 - mmengine - INFO - Epoch(val) [78][120/310] eta: 0:00:39 time: 0.2078 data_time: 0.1299 memory: 1428 2022/07/23 10:58:50 - mmengine - INFO - Epoch(val) [78][140/310] eta: 0:00:38 time: 0.2253 data_time: 0.1452 memory: 1428 2022/07/23 10:58:55 - mmengine - INFO - Epoch(val) [78][160/310] eta: 0:00:30 time: 0.2065 data_time: 0.1296 memory: 1428 2022/07/23 10:58:59 - mmengine - INFO - Epoch(val) [78][180/310] eta: 0:00:29 time: 0.2302 data_time: 0.1441 memory: 1428 2022/07/23 10:59:03 - mmengine - INFO - Epoch(val) [78][200/310] eta: 0:00:20 time: 0.1892 data_time: 0.1125 memory: 1428 2022/07/23 10:59:07 - mmengine - INFO - Epoch(val) [78][220/310] eta: 0:00:18 time: 0.2043 data_time: 0.1300 memory: 1428 2022/07/23 10:59:11 - mmengine - INFO - Epoch(val) [78][240/310] eta: 0:00:13 time: 0.1906 data_time: 0.1167 memory: 1428 2022/07/23 10:59:15 - mmengine - INFO - Epoch(val) [78][260/310] eta: 0:00:10 time: 0.2163 data_time: 0.1417 memory: 1428 2022/07/23 10:59:19 - mmengine - INFO - Epoch(val) [78][280/310] eta: 0:00:06 time: 0.2050 data_time: 0.1323 memory: 1428 2022/07/23 10:59:24 - mmengine - INFO - Epoch(val) [78][300/310] eta: 0:00:02 time: 0.2096 data_time: 0.1318 memory: 1428 2022/07/23 10:59:27 - mmengine - INFO - Epoch(val) [78][310/310] acc/top1: 0.6564 acc/top5: 0.8592 acc/mean1: 0.6563 2022/07/23 10:59:34 - mmengine - INFO - Epoch(train) [79][20/3757] lr: 1.0000e-03 eta: 5:27:40 time: 0.3164 data_time: 0.0927 memory: 6108 grad_norm: 8.5399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1806 loss: 1.1806 2022/07/23 10:59:39 - mmengine - INFO - Epoch(train) [79][40/3757] lr: 1.0000e-03 eta: 5:27:35 time: 0.2352 data_time: 0.0195 memory: 6108 grad_norm: 8.8624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2123 loss: 1.2123 2022/07/23 10:59:44 - mmengine - INFO - Epoch(train) [79][60/3757] lr: 1.0000e-03 eta: 5:27:30 time: 0.2484 data_time: 0.0260 memory: 6108 grad_norm: 8.8348 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1759 loss: 1.1759 2022/07/23 10:59:48 - mmengine - INFO - Epoch(train) [79][80/3757] lr: 1.0000e-03 eta: 5:27:25 time: 0.2256 data_time: 0.0213 memory: 6108 grad_norm: 8.6661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1817 loss: 1.1817 2022/07/23 10:59:53 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 1.0000e-03 eta: 5:27:21 time: 0.2316 data_time: 0.0252 memory: 6108 grad_norm: 8.9978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1141 loss: 1.1141 2022/07/23 10:59:58 - mmengine - INFO - Epoch(train) [79][120/3757] lr: 1.0000e-03 eta: 5:27:16 time: 0.2362 data_time: 0.0238 memory: 6108 grad_norm: 8.8377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2894 loss: 1.2894 2022/07/23 11:00:03 - mmengine - INFO - Epoch(train) [79][140/3757] lr: 1.0000e-03 eta: 5:27:11 time: 0.2516 data_time: 0.0218 memory: 6108 grad_norm: 8.4104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/07/23 11:00:07 - mmengine - INFO - Epoch(train) [79][160/3757] lr: 1.0000e-03 eta: 5:27:06 time: 0.2292 data_time: 0.0201 memory: 6108 grad_norm: 8.9542 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2615 loss: 1.2615 2022/07/23 11:00:12 - mmengine - INFO - Epoch(train) [79][180/3757] lr: 1.0000e-03 eta: 5:27:02 time: 0.2292 data_time: 0.0213 memory: 6108 grad_norm: 8.8015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1469 loss: 1.1469 2022/07/23 11:00:17 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 1.0000e-03 eta: 5:26:57 time: 0.2310 data_time: 0.0275 memory: 6108 grad_norm: 8.7843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/07/23 11:00:21 - mmengine - INFO - Epoch(train) [79][220/3757] lr: 1.0000e-03 eta: 5:26:52 time: 0.2291 data_time: 0.0219 memory: 6108 grad_norm: 8.6710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1848 loss: 1.1848 2022/07/23 11:00:26 - mmengine - INFO - Epoch(train) [79][240/3757] lr: 1.0000e-03 eta: 5:26:47 time: 0.2291 data_time: 0.0255 memory: 6108 grad_norm: 8.8009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/07/23 11:00:30 - mmengine - INFO - Epoch(train) [79][260/3757] lr: 1.0000e-03 eta: 5:26:42 time: 0.2314 data_time: 0.0231 memory: 6108 grad_norm: 8.7532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2500 loss: 1.2500 2022/07/23 11:00:35 - mmengine - INFO - Epoch(train) [79][280/3757] lr: 1.0000e-03 eta: 5:26:38 time: 0.2285 data_time: 0.0218 memory: 6108 grad_norm: 8.6590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4877 loss: 1.4877 2022/07/23 11:00:40 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 1.0000e-03 eta: 5:26:33 time: 0.2270 data_time: 0.0228 memory: 6108 grad_norm: 8.7380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4983 loss: 1.4983 2022/07/23 11:00:44 - mmengine - INFO - Epoch(train) [79][320/3757] lr: 1.0000e-03 eta: 5:26:28 time: 0.2276 data_time: 0.0207 memory: 6108 grad_norm: 8.2649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3043 loss: 1.3043 2022/07/23 11:00:49 - mmengine - INFO - Epoch(train) [79][340/3757] lr: 1.0000e-03 eta: 5:26:23 time: 0.2298 data_time: 0.0187 memory: 6108 grad_norm: 8.7074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4425 loss: 1.4425 2022/07/23 11:00:53 - mmengine - INFO - Epoch(train) [79][360/3757] lr: 1.0000e-03 eta: 5:26:18 time: 0.2313 data_time: 0.0206 memory: 6108 grad_norm: 8.8809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/07/23 11:00:58 - mmengine - INFO - Epoch(train) [79][380/3757] lr: 1.0000e-03 eta: 5:26:14 time: 0.2321 data_time: 0.0241 memory: 6108 grad_norm: 8.6495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1386 loss: 1.1386 2022/07/23 11:01:03 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 1.0000e-03 eta: 5:26:09 time: 0.2316 data_time: 0.0242 memory: 6108 grad_norm: 8.5692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0361 loss: 1.0361 2022/07/23 11:01:07 - mmengine - INFO - Epoch(train) [79][420/3757] lr: 1.0000e-03 eta: 5:26:04 time: 0.2321 data_time: 0.0228 memory: 6108 grad_norm: 8.6917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1942 loss: 1.1942 2022/07/23 11:01:12 - mmengine - INFO - Epoch(train) [79][440/3757] lr: 1.0000e-03 eta: 5:25:59 time: 0.2339 data_time: 0.0261 memory: 6108 grad_norm: 8.6528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1976 loss: 1.1976 2022/07/23 11:01:17 - mmengine - INFO - Epoch(train) [79][460/3757] lr: 1.0000e-03 eta: 5:25:54 time: 0.2286 data_time: 0.0214 memory: 6108 grad_norm: 8.8888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3779 loss: 1.3779 2022/07/23 11:01:21 - mmengine - INFO - Epoch(train) [79][480/3757] lr: 1.0000e-03 eta: 5:25:50 time: 0.2273 data_time: 0.0274 memory: 6108 grad_norm: 8.7027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1876 loss: 1.1876 2022/07/23 11:01:26 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 1.0000e-03 eta: 5:25:45 time: 0.2278 data_time: 0.0232 memory: 6108 grad_norm: 8.8015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3287 loss: 1.3287 2022/07/23 11:01:31 - mmengine - INFO - Epoch(train) [79][520/3757] lr: 1.0000e-03 eta: 5:25:40 time: 0.2301 data_time: 0.0207 memory: 6108 grad_norm: 8.6571 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2314 loss: 1.2314 2022/07/23 11:01:35 - mmengine - INFO - Epoch(train) [79][540/3757] lr: 1.0000e-03 eta: 5:25:35 time: 0.2299 data_time: 0.0239 memory: 6108 grad_norm: 8.7988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/07/23 11:01:40 - mmengine - INFO - Epoch(train) [79][560/3757] lr: 1.0000e-03 eta: 5:25:30 time: 0.2410 data_time: 0.0220 memory: 6108 grad_norm: 8.6589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1880 loss: 1.1880 2022/07/23 11:01:45 - mmengine - INFO - Epoch(train) [79][580/3757] lr: 1.0000e-03 eta: 5:25:26 time: 0.2352 data_time: 0.0243 memory: 6108 grad_norm: 8.8051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/07/23 11:01:49 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 1.0000e-03 eta: 5:25:21 time: 0.2344 data_time: 0.0236 memory: 6108 grad_norm: 8.8152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0535 loss: 1.0535 2022/07/23 11:01:54 - mmengine - INFO - Epoch(train) [79][620/3757] lr: 1.0000e-03 eta: 5:25:16 time: 0.2289 data_time: 0.0198 memory: 6108 grad_norm: 8.8101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/07/23 11:01:59 - mmengine - INFO - Epoch(train) [79][640/3757] lr: 1.0000e-03 eta: 5:25:11 time: 0.2327 data_time: 0.0229 memory: 6108 grad_norm: 8.8364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2702 loss: 1.2702 2022/07/23 11:02:03 - mmengine - INFO - Epoch(train) [79][660/3757] lr: 1.0000e-03 eta: 5:25:06 time: 0.2346 data_time: 0.0274 memory: 6108 grad_norm: 8.6473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0412 loss: 1.0412 2022/07/23 11:02:08 - mmengine - INFO - Epoch(train) [79][680/3757] lr: 1.0000e-03 eta: 5:25:02 time: 0.2229 data_time: 0.0221 memory: 6108 grad_norm: 8.5970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2397 loss: 1.2397 2022/07/23 11:02:13 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 1.0000e-03 eta: 5:24:57 time: 0.2327 data_time: 0.0213 memory: 6108 grad_norm: 8.6650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2047 loss: 1.2047 2022/07/23 11:02:18 - mmengine - INFO - Epoch(train) [79][720/3757] lr: 1.0000e-03 eta: 5:24:52 time: 0.2445 data_time: 0.0225 memory: 6108 grad_norm: 8.4196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2910 loss: 1.2910 2022/07/23 11:02:22 - mmengine - INFO - Epoch(train) [79][740/3757] lr: 1.0000e-03 eta: 5:24:47 time: 0.2307 data_time: 0.0216 memory: 6108 grad_norm: 8.6457 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2657 loss: 1.2657 2022/07/23 11:02:27 - mmengine - INFO - Epoch(train) [79][760/3757] lr: 1.0000e-03 eta: 5:24:43 time: 0.2284 data_time: 0.0233 memory: 6108 grad_norm: 8.8731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3991 loss: 1.3991 2022/07/23 11:02:32 - mmengine - INFO - Epoch(train) [79][780/3757] lr: 1.0000e-03 eta: 5:24:38 time: 0.2354 data_time: 0.0251 memory: 6108 grad_norm: 8.8223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/07/23 11:02:36 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 1.0000e-03 eta: 5:24:33 time: 0.2312 data_time: 0.0230 memory: 6108 grad_norm: 8.6811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/07/23 11:02:41 - mmengine - INFO - Epoch(train) [79][820/3757] lr: 1.0000e-03 eta: 5:24:28 time: 0.2307 data_time: 0.0199 memory: 6108 grad_norm: 8.8368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3560 loss: 1.3560 2022/07/23 11:02:45 - mmengine - INFO - Epoch(train) [79][840/3757] lr: 1.0000e-03 eta: 5:24:23 time: 0.2290 data_time: 0.0239 memory: 6108 grad_norm: 8.6184 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/07/23 11:02:50 - mmengine - INFO - Epoch(train) [79][860/3757] lr: 1.0000e-03 eta: 5:24:19 time: 0.2331 data_time: 0.0200 memory: 6108 grad_norm: 8.6717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/07/23 11:02:55 - mmengine - INFO - Epoch(train) [79][880/3757] lr: 1.0000e-03 eta: 5:24:14 time: 0.2348 data_time: 0.0243 memory: 6108 grad_norm: 9.0706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2908 loss: 1.2908 2022/07/23 11:03:00 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 1.0000e-03 eta: 5:24:09 time: 0.2361 data_time: 0.0279 memory: 6108 grad_norm: 8.6538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/07/23 11:03:04 - mmengine - INFO - Epoch(train) [79][920/3757] lr: 1.0000e-03 eta: 5:24:04 time: 0.2283 data_time: 0.0230 memory: 6108 grad_norm: 9.0259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/07/23 11:03:09 - mmengine - INFO - Epoch(train) [79][940/3757] lr: 1.0000e-03 eta: 5:24:00 time: 0.2564 data_time: 0.0228 memory: 6108 grad_norm: 8.5264 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/07/23 11:03:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:03:14 - mmengine - INFO - Epoch(train) [79][960/3757] lr: 1.0000e-03 eta: 5:23:55 time: 0.2219 data_time: 0.0239 memory: 6108 grad_norm: 8.9442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/07/23 11:03:18 - mmengine - INFO - Epoch(train) [79][980/3757] lr: 1.0000e-03 eta: 5:23:50 time: 0.2297 data_time: 0.0239 memory: 6108 grad_norm: 8.7620 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2942 loss: 1.2942 2022/07/23 11:03:23 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 1.0000e-03 eta: 5:23:45 time: 0.2256 data_time: 0.0232 memory: 6108 grad_norm: 8.4640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2741 loss: 1.2741 2022/07/23 11:03:28 - mmengine - INFO - Epoch(train) [79][1020/3757] lr: 1.0000e-03 eta: 5:23:40 time: 0.2309 data_time: 0.0212 memory: 6108 grad_norm: 8.9285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/07/23 11:03:32 - mmengine - INFO - Epoch(train) [79][1040/3757] lr: 1.0000e-03 eta: 5:23:35 time: 0.2350 data_time: 0.0216 memory: 6108 grad_norm: 8.7214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3966 loss: 1.3966 2022/07/23 11:03:37 - mmengine - INFO - Epoch(train) [79][1060/3757] lr: 1.0000e-03 eta: 5:23:31 time: 0.2430 data_time: 0.0188 memory: 6108 grad_norm: 9.0686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3410 loss: 1.3410 2022/07/23 11:03:42 - mmengine - INFO - Epoch(train) [79][1080/3757] lr: 1.0000e-03 eta: 5:23:26 time: 0.2458 data_time: 0.0448 memory: 6108 grad_norm: 9.1299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3267 loss: 1.3267 2022/07/23 11:03:47 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 1.0000e-03 eta: 5:23:21 time: 0.2305 data_time: 0.0207 memory: 6108 grad_norm: 8.7614 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4868 loss: 1.4868 2022/07/23 11:03:52 - mmengine - INFO - Epoch(train) [79][1120/3757] lr: 1.0000e-03 eta: 5:23:17 time: 0.2455 data_time: 0.0288 memory: 6108 grad_norm: 8.7146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5247 loss: 1.5247 2022/07/23 11:03:56 - mmengine - INFO - Epoch(train) [79][1140/3757] lr: 1.0000e-03 eta: 5:23:12 time: 0.2303 data_time: 0.0264 memory: 6108 grad_norm: 8.3946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3255 loss: 1.3255 2022/07/23 11:04:01 - mmengine - INFO - Epoch(train) [79][1160/3757] lr: 1.0000e-03 eta: 5:23:07 time: 0.2299 data_time: 0.0235 memory: 6108 grad_norm: 8.7550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1398 loss: 1.1398 2022/07/23 11:04:06 - mmengine - INFO - Epoch(train) [79][1180/3757] lr: 1.0000e-03 eta: 5:23:02 time: 0.2313 data_time: 0.0208 memory: 6108 grad_norm: 8.8672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2475 loss: 1.2475 2022/07/23 11:04:10 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 1.0000e-03 eta: 5:22:57 time: 0.2381 data_time: 0.0265 memory: 6108 grad_norm: 8.6308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/07/23 11:04:15 - mmengine - INFO - Epoch(train) [79][1220/3757] lr: 1.0000e-03 eta: 5:22:53 time: 0.2287 data_time: 0.0185 memory: 6108 grad_norm: 8.4099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/07/23 11:04:20 - mmengine - INFO - Epoch(train) [79][1240/3757] lr: 1.0000e-03 eta: 5:22:48 time: 0.2341 data_time: 0.0246 memory: 6108 grad_norm: 8.4626 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0893 loss: 1.0893 2022/07/23 11:04:24 - mmengine - INFO - Epoch(train) [79][1260/3757] lr: 1.0000e-03 eta: 5:22:43 time: 0.2348 data_time: 0.0277 memory: 6108 grad_norm: 8.9657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4032 loss: 1.4032 2022/07/23 11:04:29 - mmengine - INFO - Epoch(train) [79][1280/3757] lr: 1.0000e-03 eta: 5:22:38 time: 0.2406 data_time: 0.0237 memory: 6108 grad_norm: 8.7551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3395 loss: 1.3395 2022/07/23 11:04:34 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 1.0000e-03 eta: 5:22:33 time: 0.2290 data_time: 0.0271 memory: 6108 grad_norm: 8.6996 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2000 loss: 1.2000 2022/07/23 11:04:39 - mmengine - INFO - Epoch(train) [79][1320/3757] lr: 1.0000e-03 eta: 5:22:29 time: 0.2289 data_time: 0.0224 memory: 6108 grad_norm: 9.1604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/07/23 11:04:43 - mmengine - INFO - Epoch(train) [79][1340/3757] lr: 1.0000e-03 eta: 5:22:24 time: 0.2290 data_time: 0.0243 memory: 6108 grad_norm: 8.8161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3848 loss: 1.3848 2022/07/23 11:04:48 - mmengine - INFO - Epoch(train) [79][1360/3757] lr: 1.0000e-03 eta: 5:22:19 time: 0.2461 data_time: 0.0194 memory: 6108 grad_norm: 8.8507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/07/23 11:04:53 - mmengine - INFO - Epoch(train) [79][1380/3757] lr: 1.0000e-03 eta: 5:22:14 time: 0.2416 data_time: 0.0206 memory: 6108 grad_norm: 8.2921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/07/23 11:04:58 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 1.0000e-03 eta: 5:22:10 time: 0.2292 data_time: 0.0276 memory: 6108 grad_norm: 9.3765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3801 loss: 1.3801 2022/07/23 11:05:02 - mmengine - INFO - Epoch(train) [79][1420/3757] lr: 1.0000e-03 eta: 5:22:05 time: 0.2312 data_time: 0.0197 memory: 6108 grad_norm: 8.7962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2927 loss: 1.2927 2022/07/23 11:05:07 - mmengine - INFO - Epoch(train) [79][1440/3757] lr: 1.0000e-03 eta: 5:22:00 time: 0.2326 data_time: 0.0256 memory: 6108 grad_norm: 8.7420 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2684 loss: 1.2684 2022/07/23 11:05:12 - mmengine - INFO - Epoch(train) [79][1460/3757] lr: 1.0000e-03 eta: 5:21:55 time: 0.2561 data_time: 0.0189 memory: 6108 grad_norm: 8.8917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/07/23 11:05:17 - mmengine - INFO - Epoch(train) [79][1480/3757] lr: 1.0000e-03 eta: 5:21:51 time: 0.2268 data_time: 0.0219 memory: 6108 grad_norm: 8.7827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/07/23 11:05:21 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 1.0000e-03 eta: 5:21:46 time: 0.2319 data_time: 0.0283 memory: 6108 grad_norm: 8.8302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/07/23 11:05:26 - mmengine - INFO - Epoch(train) [79][1520/3757] lr: 1.0000e-03 eta: 5:21:41 time: 0.2293 data_time: 0.0237 memory: 6108 grad_norm: 8.5310 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2987 loss: 1.2987 2022/07/23 11:05:31 - mmengine - INFO - Epoch(train) [79][1540/3757] lr: 1.0000e-03 eta: 5:21:36 time: 0.2415 data_time: 0.0266 memory: 6108 grad_norm: 9.2756 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/07/23 11:05:36 - mmengine - INFO - Epoch(train) [79][1560/3757] lr: 1.0000e-03 eta: 5:21:31 time: 0.2387 data_time: 0.0244 memory: 6108 grad_norm: 8.6699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1740 loss: 1.1740 2022/07/23 11:05:40 - mmengine - INFO - Epoch(train) [79][1580/3757] lr: 1.0000e-03 eta: 5:21:27 time: 0.2307 data_time: 0.0248 memory: 6108 grad_norm: 8.7728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0797 loss: 1.0797 2022/07/23 11:05:45 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 1.0000e-03 eta: 5:21:22 time: 0.2325 data_time: 0.0224 memory: 6108 grad_norm: 8.7398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/07/23 11:05:50 - mmengine - INFO - Epoch(train) [79][1620/3757] lr: 1.0000e-03 eta: 5:21:17 time: 0.2409 data_time: 0.0230 memory: 6108 grad_norm: 8.6705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2570 loss: 1.2570 2022/07/23 11:05:54 - mmengine - INFO - Epoch(train) [79][1640/3757] lr: 1.0000e-03 eta: 5:21:12 time: 0.2248 data_time: 0.0238 memory: 6108 grad_norm: 8.8415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5109 loss: 1.5109 2022/07/23 11:05:59 - mmengine - INFO - Epoch(train) [79][1660/3757] lr: 1.0000e-03 eta: 5:21:07 time: 0.2257 data_time: 0.0210 memory: 6108 grad_norm: 8.6133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8529 loss: 0.8529 2022/07/23 11:06:03 - mmengine - INFO - Epoch(train) [79][1680/3757] lr: 1.0000e-03 eta: 5:21:03 time: 0.2312 data_time: 0.0237 memory: 6108 grad_norm: 8.8041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3286 loss: 1.3286 2022/07/23 11:06:08 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 1.0000e-03 eta: 5:20:58 time: 0.2395 data_time: 0.0257 memory: 6108 grad_norm: 8.7367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/07/23 11:06:13 - mmengine - INFO - Epoch(train) [79][1720/3757] lr: 1.0000e-03 eta: 5:20:53 time: 0.2346 data_time: 0.0293 memory: 6108 grad_norm: 9.0026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1701 loss: 1.1701 2022/07/23 11:06:18 - mmengine - INFO - Epoch(train) [79][1740/3757] lr: 1.0000e-03 eta: 5:20:48 time: 0.2326 data_time: 0.0256 memory: 6108 grad_norm: 8.7832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1156 loss: 1.1156 2022/07/23 11:06:22 - mmengine - INFO - Epoch(train) [79][1760/3757] lr: 1.0000e-03 eta: 5:20:44 time: 0.2405 data_time: 0.0265 memory: 6108 grad_norm: 8.7528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/07/23 11:06:27 - mmengine - INFO - Epoch(train) [79][1780/3757] lr: 1.0000e-03 eta: 5:20:39 time: 0.2310 data_time: 0.0181 memory: 6108 grad_norm: 8.5001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3218 loss: 1.3218 2022/07/23 11:06:32 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 1.0000e-03 eta: 5:20:34 time: 0.2388 data_time: 0.0229 memory: 6108 grad_norm: 9.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4317 loss: 1.4317 2022/07/23 11:06:37 - mmengine - INFO - Epoch(train) [79][1820/3757] lr: 1.0000e-03 eta: 5:20:29 time: 0.2349 data_time: 0.0285 memory: 6108 grad_norm: 8.5793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2480 loss: 1.2480 2022/07/23 11:06:41 - mmengine - INFO - Epoch(train) [79][1840/3757] lr: 1.0000e-03 eta: 5:20:24 time: 0.2309 data_time: 0.0254 memory: 6108 grad_norm: 8.7842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1715 loss: 1.1715 2022/07/23 11:06:46 - mmengine - INFO - Epoch(train) [79][1860/3757] lr: 1.0000e-03 eta: 5:20:20 time: 0.2314 data_time: 0.0337 memory: 6108 grad_norm: 8.6586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/07/23 11:06:51 - mmengine - INFO - Epoch(train) [79][1880/3757] lr: 1.0000e-03 eta: 5:20:15 time: 0.2539 data_time: 0.0207 memory: 6108 grad_norm: 8.5706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1946 loss: 1.1946 2022/07/23 11:06:56 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 1.0000e-03 eta: 5:20:10 time: 0.2276 data_time: 0.0242 memory: 6108 grad_norm: 8.8838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3069 loss: 1.3069 2022/07/23 11:07:00 - mmengine - INFO - Epoch(train) [79][1920/3757] lr: 1.0000e-03 eta: 5:20:05 time: 0.2296 data_time: 0.0251 memory: 6108 grad_norm: 9.0426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2257 loss: 1.2257 2022/07/23 11:07:05 - mmengine - INFO - Epoch(train) [79][1940/3757] lr: 1.0000e-03 eta: 5:20:01 time: 0.2352 data_time: 0.0261 memory: 6108 grad_norm: 8.8654 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1482 loss: 1.1482 2022/07/23 11:07:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:07:10 - mmengine - INFO - Epoch(train) [79][1960/3757] lr: 1.0000e-03 eta: 5:19:56 time: 0.2352 data_time: 0.0264 memory: 6108 grad_norm: 8.6693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/07/23 11:07:14 - mmengine - INFO - Epoch(train) [79][1980/3757] lr: 1.0000e-03 eta: 5:19:51 time: 0.2254 data_time: 0.0241 memory: 6108 grad_norm: 8.7975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3336 loss: 1.3336 2022/07/23 11:07:19 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 1.0000e-03 eta: 5:19:46 time: 0.2276 data_time: 0.0232 memory: 6108 grad_norm: 8.5638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/07/23 11:07:24 - mmengine - INFO - Epoch(train) [79][2020/3757] lr: 1.0000e-03 eta: 5:19:41 time: 0.2372 data_time: 0.0223 memory: 6108 grad_norm: 8.4565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0945 loss: 1.0945 2022/07/23 11:07:28 - mmengine - INFO - Epoch(train) [79][2040/3757] lr: 1.0000e-03 eta: 5:19:37 time: 0.2249 data_time: 0.0220 memory: 6108 grad_norm: 8.7584 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/07/23 11:07:33 - mmengine - INFO - Epoch(train) [79][2060/3757] lr: 1.0000e-03 eta: 5:19:32 time: 0.2420 data_time: 0.0220 memory: 6108 grad_norm: 8.5504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3624 loss: 1.3624 2022/07/23 11:07:38 - mmengine - INFO - Epoch(train) [79][2080/3757] lr: 1.0000e-03 eta: 5:19:27 time: 0.2298 data_time: 0.0197 memory: 6108 grad_norm: 8.7335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2164 loss: 1.2164 2022/07/23 11:07:42 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 1.0000e-03 eta: 5:19:22 time: 0.2281 data_time: 0.0211 memory: 6108 grad_norm: 8.8918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4190 loss: 1.4190 2022/07/23 11:07:47 - mmengine - INFO - Epoch(train) [79][2120/3757] lr: 1.0000e-03 eta: 5:19:18 time: 0.2516 data_time: 0.0242 memory: 6108 grad_norm: 8.5921 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3855 loss: 1.3855 2022/07/23 11:07:52 - mmengine - INFO - Epoch(train) [79][2140/3757] lr: 1.0000e-03 eta: 5:19:13 time: 0.2438 data_time: 0.0250 memory: 6108 grad_norm: 8.6732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2330 loss: 1.2330 2022/07/23 11:07:57 - mmengine - INFO - Epoch(train) [79][2160/3757] lr: 1.0000e-03 eta: 5:19:08 time: 0.2341 data_time: 0.0299 memory: 6108 grad_norm: 8.8699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4580 loss: 1.4580 2022/07/23 11:08:01 - mmengine - INFO - Epoch(train) [79][2180/3757] lr: 1.0000e-03 eta: 5:19:03 time: 0.2283 data_time: 0.0301 memory: 6108 grad_norm: 8.9714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/07/23 11:08:06 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 1.0000e-03 eta: 5:18:59 time: 0.2316 data_time: 0.0242 memory: 6108 grad_norm: 8.7237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1129 loss: 1.1129 2022/07/23 11:08:11 - mmengine - INFO - Epoch(train) [79][2220/3757] lr: 1.0000e-03 eta: 5:18:54 time: 0.2490 data_time: 0.0240 memory: 6108 grad_norm: 8.7214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/07/23 11:08:16 - mmengine - INFO - Epoch(train) [79][2240/3757] lr: 1.0000e-03 eta: 5:18:49 time: 0.2287 data_time: 0.0222 memory: 6108 grad_norm: 8.7986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5001 loss: 1.5001 2022/07/23 11:08:20 - mmengine - INFO - Epoch(train) [79][2260/3757] lr: 1.0000e-03 eta: 5:18:44 time: 0.2346 data_time: 0.0229 memory: 6108 grad_norm: 8.8485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2656 loss: 1.2656 2022/07/23 11:08:25 - mmengine - INFO - Epoch(train) [79][2280/3757] lr: 1.0000e-03 eta: 5:18:39 time: 0.2347 data_time: 0.0300 memory: 6108 grad_norm: 9.1337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0934 loss: 1.0934 2022/07/23 11:08:30 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 1.0000e-03 eta: 5:18:35 time: 0.2488 data_time: 0.0237 memory: 6108 grad_norm: 8.8319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2935 loss: 1.2935 2022/07/23 11:08:35 - mmengine - INFO - Epoch(train) [79][2320/3757] lr: 1.0000e-03 eta: 5:18:30 time: 0.2212 data_time: 0.0233 memory: 6108 grad_norm: 8.9931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3960 loss: 1.3960 2022/07/23 11:08:39 - mmengine - INFO - Epoch(train) [79][2340/3757] lr: 1.0000e-03 eta: 5:18:25 time: 0.2298 data_time: 0.0232 memory: 6108 grad_norm: 8.9810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5735 loss: 1.5735 2022/07/23 11:08:44 - mmengine - INFO - Epoch(train) [79][2360/3757] lr: 1.0000e-03 eta: 5:18:20 time: 0.2323 data_time: 0.0230 memory: 6108 grad_norm: 8.9182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2321 loss: 1.2321 2022/07/23 11:08:49 - mmengine - INFO - Epoch(train) [79][2380/3757] lr: 1.0000e-03 eta: 5:18:16 time: 0.2422 data_time: 0.0227 memory: 6108 grad_norm: 8.6926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2579 loss: 1.2579 2022/07/23 11:08:54 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 1.0000e-03 eta: 5:18:11 time: 0.2385 data_time: 0.0225 memory: 6108 grad_norm: 8.4993 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3207 loss: 1.3207 2022/07/23 11:08:58 - mmengine - INFO - Epoch(train) [79][2420/3757] lr: 1.0000e-03 eta: 5:18:06 time: 0.2291 data_time: 0.0191 memory: 6108 grad_norm: 8.8944 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3830 loss: 1.3830 2022/07/23 11:09:03 - mmengine - INFO - Epoch(train) [79][2440/3757] lr: 1.0000e-03 eta: 5:18:01 time: 0.2292 data_time: 0.0191 memory: 6108 grad_norm: 8.5238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3277 loss: 1.3277 2022/07/23 11:09:07 - mmengine - INFO - Epoch(train) [79][2460/3757] lr: 1.0000e-03 eta: 5:17:56 time: 0.2304 data_time: 0.0242 memory: 6108 grad_norm: 8.6746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/07/23 11:09:12 - mmengine - INFO - Epoch(train) [79][2480/3757] lr: 1.0000e-03 eta: 5:17:52 time: 0.2406 data_time: 0.0246 memory: 6108 grad_norm: 8.7134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/07/23 11:09:17 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 1.0000e-03 eta: 5:17:47 time: 0.2309 data_time: 0.0268 memory: 6108 grad_norm: 8.9254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/23 11:09:22 - mmengine - INFO - Epoch(train) [79][2520/3757] lr: 1.0000e-03 eta: 5:17:42 time: 0.2345 data_time: 0.0231 memory: 6108 grad_norm: 9.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/07/23 11:09:26 - mmengine - INFO - Epoch(train) [79][2540/3757] lr: 1.0000e-03 eta: 5:17:37 time: 0.2300 data_time: 0.0249 memory: 6108 grad_norm: 8.9588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2211 loss: 1.2211 2022/07/23 11:09:31 - mmengine - INFO - Epoch(train) [79][2560/3757] lr: 1.0000e-03 eta: 5:17:33 time: 0.2451 data_time: 0.0195 memory: 6108 grad_norm: 8.6848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/07/23 11:09:36 - mmengine - INFO - Epoch(train) [79][2580/3757] lr: 1.0000e-03 eta: 5:17:28 time: 0.2306 data_time: 0.0249 memory: 6108 grad_norm: 8.8921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3544 loss: 1.3544 2022/07/23 11:09:40 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 1.0000e-03 eta: 5:17:23 time: 0.2289 data_time: 0.0313 memory: 6108 grad_norm: 8.6911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/07/23 11:09:45 - mmengine - INFO - Epoch(train) [79][2620/3757] lr: 1.0000e-03 eta: 5:17:18 time: 0.2324 data_time: 0.0224 memory: 6108 grad_norm: 9.0197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3815 loss: 1.3815 2022/07/23 11:09:50 - mmengine - INFO - Epoch(train) [79][2640/3757] lr: 1.0000e-03 eta: 5:17:14 time: 0.2656 data_time: 0.0524 memory: 6108 grad_norm: 8.6234 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4303 loss: 1.4303 2022/07/23 11:09:55 - mmengine - INFO - Epoch(train) [79][2660/3757] lr: 1.0000e-03 eta: 5:17:09 time: 0.2268 data_time: 0.0245 memory: 6108 grad_norm: 8.8566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/07/23 11:10:00 - mmengine - INFO - Epoch(train) [79][2680/3757] lr: 1.0000e-03 eta: 5:17:04 time: 0.2370 data_time: 0.0229 memory: 6108 grad_norm: 8.6448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/07/23 11:10:04 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 1.0000e-03 eta: 5:16:59 time: 0.2295 data_time: 0.0223 memory: 6108 grad_norm: 8.9500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0135 loss: 1.0135 2022/07/23 11:10:09 - mmengine - INFO - Epoch(train) [79][2720/3757] lr: 1.0000e-03 eta: 5:16:54 time: 0.2328 data_time: 0.0230 memory: 6108 grad_norm: 8.6209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/07/23 11:10:14 - mmengine - INFO - Epoch(train) [79][2740/3757] lr: 1.0000e-03 eta: 5:16:50 time: 0.2429 data_time: 0.0175 memory: 6108 grad_norm: 8.6131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3630 loss: 1.3630 2022/07/23 11:10:19 - mmengine - INFO - Epoch(train) [79][2760/3757] lr: 1.0000e-03 eta: 5:16:45 time: 0.2300 data_time: 0.0232 memory: 6108 grad_norm: 8.8062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3853 loss: 1.3853 2022/07/23 11:10:23 - mmengine - INFO - Epoch(train) [79][2780/3757] lr: 1.0000e-03 eta: 5:16:40 time: 0.2316 data_time: 0.0239 memory: 6108 grad_norm: 8.5212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4342 loss: 1.4342 2022/07/23 11:10:28 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 1.0000e-03 eta: 5:16:35 time: 0.2301 data_time: 0.0216 memory: 6108 grad_norm: 8.6860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/07/23 11:10:33 - mmengine - INFO - Epoch(train) [79][2820/3757] lr: 1.0000e-03 eta: 5:16:31 time: 0.2466 data_time: 0.0219 memory: 6108 grad_norm: 9.0614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3039 loss: 1.3039 2022/07/23 11:10:38 - mmengine - INFO - Epoch(train) [79][2840/3757] lr: 1.0000e-03 eta: 5:16:26 time: 0.2320 data_time: 0.0220 memory: 6108 grad_norm: 8.7228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/07/23 11:10:42 - mmengine - INFO - Epoch(train) [79][2860/3757] lr: 1.0000e-03 eta: 5:16:21 time: 0.2309 data_time: 0.0215 memory: 6108 grad_norm: 8.9177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2553 loss: 1.2553 2022/07/23 11:10:47 - mmengine - INFO - Epoch(train) [79][2880/3757] lr: 1.0000e-03 eta: 5:16:16 time: 0.2288 data_time: 0.0215 memory: 6108 grad_norm: 9.0524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2400 loss: 1.2400 2022/07/23 11:10:52 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 1.0000e-03 eta: 5:16:11 time: 0.2452 data_time: 0.0227 memory: 6108 grad_norm: 8.4986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3143 loss: 1.3143 2022/07/23 11:10:56 - mmengine - INFO - Epoch(train) [79][2920/3757] lr: 1.0000e-03 eta: 5:16:07 time: 0.2326 data_time: 0.0254 memory: 6108 grad_norm: 8.3258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/07/23 11:11:01 - mmengine - INFO - Epoch(train) [79][2940/3757] lr: 1.0000e-03 eta: 5:16:02 time: 0.2352 data_time: 0.0279 memory: 6108 grad_norm: 8.6895 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3937 loss: 1.3937 2022/07/23 11:11:04 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:11:06 - mmengine - INFO - Epoch(train) [79][2960/3757] lr: 1.0000e-03 eta: 5:15:57 time: 0.2302 data_time: 0.0210 memory: 6108 grad_norm: 8.8287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/23 11:11:11 - mmengine - INFO - Epoch(train) [79][2980/3757] lr: 1.0000e-03 eta: 5:15:52 time: 0.2361 data_time: 0.0286 memory: 6108 grad_norm: 8.8066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3278 loss: 1.3278 2022/07/23 11:11:15 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 1.0000e-03 eta: 5:15:48 time: 0.2302 data_time: 0.0254 memory: 6108 grad_norm: 8.9357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4127 loss: 1.4127 2022/07/23 11:11:20 - mmengine - INFO - Epoch(train) [79][3020/3757] lr: 1.0000e-03 eta: 5:15:43 time: 0.2302 data_time: 0.0191 memory: 6108 grad_norm: 9.0447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/07/23 11:11:25 - mmengine - INFO - Epoch(train) [79][3040/3757] lr: 1.0000e-03 eta: 5:15:38 time: 0.2364 data_time: 0.0216 memory: 6108 grad_norm: 8.8233 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5513 loss: 1.5513 2022/07/23 11:11:29 - mmengine - INFO - Epoch(train) [79][3060/3757] lr: 1.0000e-03 eta: 5:15:33 time: 0.2346 data_time: 0.0222 memory: 6108 grad_norm: 9.3539 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6107 loss: 1.6107 2022/07/23 11:11:34 - mmengine - INFO - Epoch(train) [79][3080/3757] lr: 1.0000e-03 eta: 5:15:28 time: 0.2427 data_time: 0.0224 memory: 6108 grad_norm: 9.1133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5174 loss: 1.5174 2022/07/23 11:11:39 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 1.0000e-03 eta: 5:15:24 time: 0.2301 data_time: 0.0195 memory: 6108 grad_norm: 8.7466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/07/23 11:11:44 - mmengine - INFO - Epoch(train) [79][3120/3757] lr: 1.0000e-03 eta: 5:15:19 time: 0.2337 data_time: 0.0232 memory: 6108 grad_norm: 8.8423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4962 loss: 1.4962 2022/07/23 11:11:48 - mmengine - INFO - Epoch(train) [79][3140/3757] lr: 1.0000e-03 eta: 5:15:14 time: 0.2322 data_time: 0.0219 memory: 6108 grad_norm: 8.5771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/07/23 11:11:53 - mmengine - INFO - Epoch(train) [79][3160/3757] lr: 1.0000e-03 eta: 5:15:09 time: 0.2388 data_time: 0.0228 memory: 6108 grad_norm: 8.5155 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/07/23 11:11:58 - mmengine - INFO - Epoch(train) [79][3180/3757] lr: 1.0000e-03 eta: 5:15:05 time: 0.2282 data_time: 0.0227 memory: 6108 grad_norm: 8.7610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3339 loss: 1.3339 2022/07/23 11:12:03 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 1.0000e-03 eta: 5:15:00 time: 0.2529 data_time: 0.0242 memory: 6108 grad_norm: 8.7172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0913 loss: 1.0913 2022/07/23 11:12:07 - mmengine - INFO - Epoch(train) [79][3220/3757] lr: 1.0000e-03 eta: 5:14:55 time: 0.2280 data_time: 0.0225 memory: 6108 grad_norm: 9.0412 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3298 loss: 1.3298 2022/07/23 11:12:12 - mmengine - INFO - Epoch(train) [79][3240/3757] lr: 1.0000e-03 eta: 5:14:50 time: 0.2384 data_time: 0.0265 memory: 6108 grad_norm: 8.9422 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4020 loss: 1.4020 2022/07/23 11:12:17 - mmengine - INFO - Epoch(train) [79][3260/3757] lr: 1.0000e-03 eta: 5:14:46 time: 0.2334 data_time: 0.0285 memory: 6108 grad_norm: 8.7653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/07/23 11:12:22 - mmengine - INFO - Epoch(train) [79][3280/3757] lr: 1.0000e-03 eta: 5:14:41 time: 0.2418 data_time: 0.0266 memory: 6108 grad_norm: 8.3610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1561 loss: 1.1561 2022/07/23 11:12:26 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 1.0000e-03 eta: 5:14:36 time: 0.2314 data_time: 0.0213 memory: 6108 grad_norm: 8.6693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4401 loss: 1.4401 2022/07/23 11:12:31 - mmengine - INFO - Epoch(train) [79][3320/3757] lr: 1.0000e-03 eta: 5:14:31 time: 0.2386 data_time: 0.0199 memory: 6108 grad_norm: 8.6695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/07/23 11:12:36 - mmengine - INFO - Epoch(train) [79][3340/3757] lr: 1.0000e-03 eta: 5:14:26 time: 0.2311 data_time: 0.0182 memory: 6108 grad_norm: 8.7371 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/07/23 11:12:40 - mmengine - INFO - Epoch(train) [79][3360/3757] lr: 1.0000e-03 eta: 5:14:22 time: 0.2327 data_time: 0.0229 memory: 6108 grad_norm: 8.8247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2194 loss: 1.2194 2022/07/23 11:12:45 - mmengine - INFO - Epoch(train) [79][3380/3757] lr: 1.0000e-03 eta: 5:14:17 time: 0.2350 data_time: 0.0251 memory: 6108 grad_norm: 9.0381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/07/23 11:12:50 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 1.0000e-03 eta: 5:14:12 time: 0.2358 data_time: 0.0222 memory: 6108 grad_norm: 8.6916 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.1169 loss: 1.1169 2022/07/23 11:12:55 - mmengine - INFO - Epoch(train) [79][3420/3757] lr: 1.0000e-03 eta: 5:14:07 time: 0.2368 data_time: 0.0295 memory: 6108 grad_norm: 8.5884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3463 loss: 1.3463 2022/07/23 11:12:59 - mmengine - INFO - Epoch(train) [79][3440/3757] lr: 1.0000e-03 eta: 5:14:03 time: 0.2318 data_time: 0.0211 memory: 6108 grad_norm: 8.8629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/07/23 11:13:04 - mmengine - INFO - Epoch(train) [79][3460/3757] lr: 1.0000e-03 eta: 5:13:58 time: 0.2328 data_time: 0.0228 memory: 6108 grad_norm: 8.8046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/07/23 11:13:09 - mmengine - INFO - Epoch(train) [79][3480/3757] lr: 1.0000e-03 eta: 5:13:53 time: 0.2302 data_time: 0.0278 memory: 6108 grad_norm: 8.8257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3803 loss: 1.3803 2022/07/23 11:13:13 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 1.0000e-03 eta: 5:13:48 time: 0.2438 data_time: 0.0226 memory: 6108 grad_norm: 9.1868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1031 loss: 1.1031 2022/07/23 11:13:18 - mmengine - INFO - Epoch(train) [79][3520/3757] lr: 1.0000e-03 eta: 5:13:43 time: 0.2306 data_time: 0.0266 memory: 6108 grad_norm: 8.8914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2578 loss: 1.2578 2022/07/23 11:13:23 - mmengine - INFO - Epoch(train) [79][3540/3757] lr: 1.0000e-03 eta: 5:13:39 time: 0.2333 data_time: 0.0224 memory: 6108 grad_norm: 8.6695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1132 loss: 1.1132 2022/07/23 11:13:28 - mmengine - INFO - Epoch(train) [79][3560/3757] lr: 1.0000e-03 eta: 5:13:34 time: 0.2321 data_time: 0.0225 memory: 6108 grad_norm: 8.9786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2238 loss: 1.2238 2022/07/23 11:13:32 - mmengine - INFO - Epoch(train) [79][3580/3757] lr: 1.0000e-03 eta: 5:13:29 time: 0.2449 data_time: 0.0245 memory: 6108 grad_norm: 8.8092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/07/23 11:13:37 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 1.0000e-03 eta: 5:13:24 time: 0.2295 data_time: 0.0257 memory: 6108 grad_norm: 8.9272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3388 loss: 1.3388 2022/07/23 11:13:42 - mmengine - INFO - Epoch(train) [79][3620/3757] lr: 1.0000e-03 eta: 5:13:20 time: 0.2337 data_time: 0.0243 memory: 6108 grad_norm: 8.8497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2607 loss: 1.2607 2022/07/23 11:13:46 - mmengine - INFO - Epoch(train) [79][3640/3757] lr: 1.0000e-03 eta: 5:13:15 time: 0.2309 data_time: 0.0280 memory: 6108 grad_norm: 8.6715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/07/23 11:13:51 - mmengine - INFO - Epoch(train) [79][3660/3757] lr: 1.0000e-03 eta: 5:13:10 time: 0.2336 data_time: 0.0303 memory: 6108 grad_norm: 8.4351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/07/23 11:13:56 - mmengine - INFO - Epoch(train) [79][3680/3757] lr: 1.0000e-03 eta: 5:13:05 time: 0.2334 data_time: 0.0243 memory: 6108 grad_norm: 9.0145 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1958 loss: 1.1958 2022/07/23 11:14:01 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 1.0000e-03 eta: 5:13:00 time: 0.2372 data_time: 0.0211 memory: 6108 grad_norm: 9.1161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3232 loss: 1.3232 2022/07/23 11:14:05 - mmengine - INFO - Epoch(train) [79][3720/3757] lr: 1.0000e-03 eta: 5:12:56 time: 0.2291 data_time: 0.0253 memory: 6108 grad_norm: 8.8167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/07/23 11:14:10 - mmengine - INFO - Epoch(train) [79][3740/3757] lr: 1.0000e-03 eta: 5:12:51 time: 0.2302 data_time: 0.0174 memory: 6108 grad_norm: 8.2825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1965 loss: 1.1965 2022/07/23 11:14:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:14:13 - mmengine - INFO - Epoch(train) [79][3757/3757] lr: 1.0000e-03 eta: 5:12:51 time: 0.1978 data_time: 0.0159 memory: 6108 grad_norm: 8.8831 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2731 loss: 1.2731 2022/07/23 11:14:19 - mmengine - INFO - Epoch(val) [79][20/310] eta: 0:01:17 time: 0.2685 data_time: 0.1871 memory: 1428 2022/07/23 11:14:22 - mmengine - INFO - Epoch(val) [79][40/310] eta: 0:00:52 time: 0.1963 data_time: 0.1094 memory: 1428 2022/07/23 11:14:27 - mmengine - INFO - Epoch(val) [79][60/310] eta: 0:00:54 time: 0.2165 data_time: 0.1382 memory: 1428 2022/07/23 11:14:31 - mmengine - INFO - Epoch(val) [79][80/310] eta: 0:00:43 time: 0.1888 data_time: 0.1122 memory: 1428 2022/07/23 11:14:35 - mmengine - INFO - Epoch(val) [79][100/310] eta: 0:00:45 time: 0.2155 data_time: 0.1408 memory: 1428 2022/07/23 11:14:39 - mmengine - INFO - Epoch(val) [79][120/310] eta: 0:00:35 time: 0.1882 data_time: 0.1096 memory: 1428 2022/07/23 11:14:44 - mmengine - INFO - Epoch(val) [79][140/310] eta: 0:00:44 time: 0.2621 data_time: 0.1775 memory: 1428 2022/07/23 11:14:48 - mmengine - INFO - Epoch(val) [79][160/310] eta: 0:00:29 time: 0.1946 data_time: 0.1185 memory: 1428 2022/07/23 11:14:52 - mmengine - INFO - Epoch(val) [79][180/310] eta: 0:00:30 time: 0.2321 data_time: 0.1529 memory: 1428 2022/07/23 11:14:56 - mmengine - INFO - Epoch(val) [79][200/310] eta: 0:00:20 time: 0.1857 data_time: 0.1099 memory: 1428 2022/07/23 11:15:00 - mmengine - INFO - Epoch(val) [79][220/310] eta: 0:00:19 time: 0.2128 data_time: 0.1344 memory: 1428 2022/07/23 11:15:04 - mmengine - INFO - Epoch(val) [79][240/310] eta: 0:00:13 time: 0.1928 data_time: 0.1168 memory: 1428 2022/07/23 11:15:09 - mmengine - INFO - Epoch(val) [79][260/310] eta: 0:00:11 time: 0.2360 data_time: 0.1633 memory: 1428 2022/07/23 11:15:15 - mmengine - INFO - Epoch(val) [79][280/310] eta: 0:00:08 time: 0.2817 data_time: 0.2057 memory: 1428 2022/07/23 11:15:19 - mmengine - INFO - Epoch(val) [79][300/310] eta: 0:00:01 time: 0.1945 data_time: 0.1226 memory: 1428 2022/07/23 11:15:21 - mmengine - INFO - Epoch(val) [79][310/310] acc/top1: 0.6522 acc/top5: 0.8600 acc/mean1: 0.6521 2022/07/23 11:15:28 - mmengine - INFO - Epoch(train) [80][20/3757] lr: 1.0000e-03 eta: 5:12:42 time: 0.3556 data_time: 0.1371 memory: 6108 grad_norm: 8.6191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/07/23 11:15:33 - mmengine - INFO - Epoch(train) [80][40/3757] lr: 1.0000e-03 eta: 5:12:37 time: 0.2449 data_time: 0.0409 memory: 6108 grad_norm: 8.5461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0033 loss: 1.0033 2022/07/23 11:15:38 - mmengine - INFO - Epoch(train) [80][60/3757] lr: 1.0000e-03 eta: 5:12:32 time: 0.2318 data_time: 0.0259 memory: 6108 grad_norm: 8.5447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2659 loss: 1.2659 2022/07/23 11:15:43 - mmengine - INFO - Epoch(train) [80][80/3757] lr: 1.0000e-03 eta: 5:12:27 time: 0.2373 data_time: 0.0191 memory: 6108 grad_norm: 8.9502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0707 loss: 1.0707 2022/07/23 11:15:47 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 1.0000e-03 eta: 5:12:23 time: 0.2280 data_time: 0.0296 memory: 6108 grad_norm: 8.8681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2231 loss: 1.2231 2022/07/23 11:15:52 - mmengine - INFO - Epoch(train) [80][120/3757] lr: 1.0000e-03 eta: 5:12:18 time: 0.2378 data_time: 0.0301 memory: 6108 grad_norm: 8.5594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/07/23 11:15:57 - mmengine - INFO - Epoch(train) [80][140/3757] lr: 1.0000e-03 eta: 5:12:13 time: 0.2315 data_time: 0.0226 memory: 6108 grad_norm: 8.5556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4799 loss: 1.4799 2022/07/23 11:16:01 - mmengine - INFO - Epoch(train) [80][160/3757] lr: 1.0000e-03 eta: 5:12:08 time: 0.2296 data_time: 0.0237 memory: 6108 grad_norm: 8.7498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2528 loss: 1.2528 2022/07/23 11:16:06 - mmengine - INFO - Epoch(train) [80][180/3757] lr: 1.0000e-03 eta: 5:12:03 time: 0.2307 data_time: 0.0242 memory: 6108 grad_norm: 8.6207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3619 loss: 1.3619 2022/07/23 11:16:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:16:11 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 1.0000e-03 eta: 5:11:59 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 8.5115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/07/23 11:16:16 - mmengine - INFO - Epoch(train) [80][220/3757] lr: 1.0000e-03 eta: 5:11:54 time: 0.2466 data_time: 0.0218 memory: 6108 grad_norm: 8.7746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2208 loss: 1.2208 2022/07/23 11:16:21 - mmengine - INFO - Epoch(train) [80][240/3757] lr: 1.0000e-03 eta: 5:11:49 time: 0.2594 data_time: 0.0247 memory: 6108 grad_norm: 8.8139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3774 loss: 1.3774 2022/07/23 11:16:25 - mmengine - INFO - Epoch(train) [80][260/3757] lr: 1.0000e-03 eta: 5:11:44 time: 0.2297 data_time: 0.0256 memory: 6108 grad_norm: 8.3810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/07/23 11:16:30 - mmengine - INFO - Epoch(train) [80][280/3757] lr: 1.0000e-03 eta: 5:11:40 time: 0.2416 data_time: 0.0210 memory: 6108 grad_norm: 8.9780 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/07/23 11:16:35 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 1.0000e-03 eta: 5:11:35 time: 0.2282 data_time: 0.0242 memory: 6108 grad_norm: 9.0836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3061 loss: 1.3061 2022/07/23 11:16:39 - mmengine - INFO - Epoch(train) [80][320/3757] lr: 1.0000e-03 eta: 5:11:30 time: 0.2282 data_time: 0.0193 memory: 6108 grad_norm: 8.5826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2753 loss: 1.2753 2022/07/23 11:16:44 - mmengine - INFO - Epoch(train) [80][340/3757] lr: 1.0000e-03 eta: 5:11:25 time: 0.2353 data_time: 0.0223 memory: 6108 grad_norm: 8.3925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/07/23 11:16:49 - mmengine - INFO - Epoch(train) [80][360/3757] lr: 1.0000e-03 eta: 5:11:21 time: 0.2347 data_time: 0.0251 memory: 6108 grad_norm: 8.8455 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4056 loss: 1.4056 2022/07/23 11:16:54 - mmengine - INFO - Epoch(train) [80][380/3757] lr: 1.0000e-03 eta: 5:11:16 time: 0.2565 data_time: 0.0200 memory: 6108 grad_norm: 8.9028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3298 loss: 1.3298 2022/07/23 11:16:59 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 1.0000e-03 eta: 5:11:11 time: 0.2318 data_time: 0.0258 memory: 6108 grad_norm: 8.7142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2257 loss: 1.2257 2022/07/23 11:17:04 - mmengine - INFO - Epoch(train) [80][420/3757] lr: 1.0000e-03 eta: 5:11:06 time: 0.2362 data_time: 0.0262 memory: 6108 grad_norm: 9.0173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/07/23 11:17:08 - mmengine - INFO - Epoch(train) [80][440/3757] lr: 1.0000e-03 eta: 5:11:02 time: 0.2286 data_time: 0.0286 memory: 6108 grad_norm: 8.7441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3197 loss: 1.3197 2022/07/23 11:17:13 - mmengine - INFO - Epoch(train) [80][460/3757] lr: 1.0000e-03 eta: 5:10:57 time: 0.2303 data_time: 0.0224 memory: 6108 grad_norm: 8.6846 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4743 loss: 1.4743 2022/07/23 11:17:17 - mmengine - INFO - Epoch(train) [80][480/3757] lr: 1.0000e-03 eta: 5:10:52 time: 0.2284 data_time: 0.0262 memory: 6108 grad_norm: 8.9737 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3084 loss: 1.3084 2022/07/23 11:17:22 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 1.0000e-03 eta: 5:10:47 time: 0.2356 data_time: 0.0202 memory: 6108 grad_norm: 8.7016 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3567 loss: 1.3567 2022/07/23 11:17:27 - mmengine - INFO - Epoch(train) [80][520/3757] lr: 1.0000e-03 eta: 5:10:42 time: 0.2286 data_time: 0.0261 memory: 6108 grad_norm: 8.7078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5070 loss: 1.5070 2022/07/23 11:17:32 - mmengine - INFO - Epoch(train) [80][540/3757] lr: 1.0000e-03 eta: 5:10:38 time: 0.2544 data_time: 0.0274 memory: 6108 grad_norm: 8.9638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5342 loss: 1.5342 2022/07/23 11:17:36 - mmengine - INFO - Epoch(train) [80][560/3757] lr: 1.0000e-03 eta: 5:10:33 time: 0.2272 data_time: 0.0200 memory: 6108 grad_norm: 8.5508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4011 loss: 1.4011 2022/07/23 11:17:41 - mmengine - INFO - Epoch(train) [80][580/3757] lr: 1.0000e-03 eta: 5:10:28 time: 0.2392 data_time: 0.0284 memory: 6108 grad_norm: 9.0223 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3783 loss: 1.3783 2022/07/23 11:17:46 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 1.0000e-03 eta: 5:10:23 time: 0.2281 data_time: 0.0293 memory: 6108 grad_norm: 8.8769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5327 loss: 1.5327 2022/07/23 11:17:51 - mmengine - INFO - Epoch(train) [80][620/3757] lr: 1.0000e-03 eta: 5:10:19 time: 0.2365 data_time: 0.0271 memory: 6108 grad_norm: 8.2835 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3173 loss: 1.3173 2022/07/23 11:17:55 - mmengine - INFO - Epoch(train) [80][640/3757] lr: 1.0000e-03 eta: 5:10:14 time: 0.2320 data_time: 0.0215 memory: 6108 grad_norm: 8.8377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3612 loss: 1.3612 2022/07/23 11:18:00 - mmengine - INFO - Epoch(train) [80][660/3757] lr: 1.0000e-03 eta: 5:10:09 time: 0.2423 data_time: 0.0264 memory: 6108 grad_norm: 8.7409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9317 loss: 0.9317 2022/07/23 11:18:05 - mmengine - INFO - Epoch(train) [80][680/3757] lr: 1.0000e-03 eta: 5:10:04 time: 0.2443 data_time: 0.0187 memory: 6108 grad_norm: 8.5359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3335 loss: 1.3335 2022/07/23 11:18:10 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 1.0000e-03 eta: 5:09:59 time: 0.2305 data_time: 0.0275 memory: 6108 grad_norm: 8.8919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3581 loss: 1.3581 2022/07/23 11:18:14 - mmengine - INFO - Epoch(train) [80][720/3757] lr: 1.0000e-03 eta: 5:09:55 time: 0.2364 data_time: 0.0248 memory: 6108 grad_norm: 9.0436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/07/23 11:18:19 - mmengine - INFO - Epoch(train) [80][740/3757] lr: 1.0000e-03 eta: 5:09:50 time: 0.2322 data_time: 0.0186 memory: 6108 grad_norm: 8.6827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/23 11:18:24 - mmengine - INFO - Epoch(train) [80][760/3757] lr: 1.0000e-03 eta: 5:09:45 time: 0.2374 data_time: 0.0249 memory: 6108 grad_norm: 8.6802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4638 loss: 1.4638 2022/07/23 11:18:28 - mmengine - INFO - Epoch(train) [80][780/3757] lr: 1.0000e-03 eta: 5:09:40 time: 0.2275 data_time: 0.0250 memory: 6108 grad_norm: 8.5995 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4984 loss: 1.4984 2022/07/23 11:18:33 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 1.0000e-03 eta: 5:09:36 time: 0.2468 data_time: 0.0328 memory: 6108 grad_norm: 8.7147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/07/23 11:18:38 - mmengine - INFO - Epoch(train) [80][820/3757] lr: 1.0000e-03 eta: 5:09:31 time: 0.2316 data_time: 0.0205 memory: 6108 grad_norm: 8.7673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1572 loss: 1.1572 2022/07/23 11:18:43 - mmengine - INFO - Epoch(train) [80][840/3757] lr: 1.0000e-03 eta: 5:09:26 time: 0.2321 data_time: 0.0267 memory: 6108 grad_norm: 8.6410 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1581 loss: 1.1581 2022/07/23 11:18:47 - mmengine - INFO - Epoch(train) [80][860/3757] lr: 1.0000e-03 eta: 5:09:21 time: 0.2280 data_time: 0.0252 memory: 6108 grad_norm: 9.1375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1049 loss: 1.1049 2022/07/23 11:18:52 - mmengine - INFO - Epoch(train) [80][880/3757] lr: 1.0000e-03 eta: 5:09:17 time: 0.2395 data_time: 0.0289 memory: 6108 grad_norm: 8.8183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3201 loss: 1.3201 2022/07/23 11:18:57 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 1.0000e-03 eta: 5:09:12 time: 0.2296 data_time: 0.0241 memory: 6108 grad_norm: 8.8778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1854 loss: 1.1854 2022/07/23 11:19:01 - mmengine - INFO - Epoch(train) [80][920/3757] lr: 1.0000e-03 eta: 5:09:07 time: 0.2301 data_time: 0.0227 memory: 6108 grad_norm: 8.4045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1661 loss: 1.1661 2022/07/23 11:19:06 - mmengine - INFO - Epoch(train) [80][940/3757] lr: 1.0000e-03 eta: 5:09:02 time: 0.2328 data_time: 0.0226 memory: 6108 grad_norm: 8.5731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0297 loss: 1.0297 2022/07/23 11:19:11 - mmengine - INFO - Epoch(train) [80][960/3757] lr: 1.0000e-03 eta: 5:08:57 time: 0.2354 data_time: 0.0247 memory: 6108 grad_norm: 8.8662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1998 loss: 1.1998 2022/07/23 11:19:15 - mmengine - INFO - Epoch(train) [80][980/3757] lr: 1.0000e-03 eta: 5:08:53 time: 0.2285 data_time: 0.0218 memory: 6108 grad_norm: 8.7621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1814 loss: 1.1814 2022/07/23 11:19:20 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 1.0000e-03 eta: 5:08:48 time: 0.2294 data_time: 0.0228 memory: 6108 grad_norm: 9.0863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5964 loss: 1.5964 2022/07/23 11:19:25 - mmengine - INFO - Epoch(train) [80][1020/3757] lr: 1.0000e-03 eta: 5:08:43 time: 0.2339 data_time: 0.0218 memory: 6108 grad_norm: 9.0286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3585 loss: 1.3585 2022/07/23 11:19:29 - mmengine - INFO - Epoch(train) [80][1040/3757] lr: 1.0000e-03 eta: 5:08:38 time: 0.2269 data_time: 0.0224 memory: 6108 grad_norm: 8.9999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/07/23 11:19:34 - mmengine - INFO - Epoch(train) [80][1060/3757] lr: 1.0000e-03 eta: 5:08:33 time: 0.2387 data_time: 0.0217 memory: 6108 grad_norm: 8.9942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/07/23 11:19:39 - mmengine - INFO - Epoch(train) [80][1080/3757] lr: 1.0000e-03 eta: 5:08:29 time: 0.2288 data_time: 0.0250 memory: 6108 grad_norm: 8.9232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/07/23 11:19:44 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 1.0000e-03 eta: 5:08:24 time: 0.2396 data_time: 0.0214 memory: 6108 grad_norm: 8.8946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2077 loss: 1.2077 2022/07/23 11:19:48 - mmengine - INFO - Epoch(train) [80][1120/3757] lr: 1.0000e-03 eta: 5:08:19 time: 0.2364 data_time: 0.0295 memory: 6108 grad_norm: 9.0136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1360 loss: 1.1360 2022/07/23 11:19:53 - mmengine - INFO - Epoch(train) [80][1140/3757] lr: 1.0000e-03 eta: 5:08:14 time: 0.2322 data_time: 0.0215 memory: 6108 grad_norm: 9.1085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2061 loss: 1.2061 2022/07/23 11:19:58 - mmengine - INFO - Epoch(train) [80][1160/3757] lr: 1.0000e-03 eta: 5:08:10 time: 0.2370 data_time: 0.0197 memory: 6108 grad_norm: 8.7387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/07/23 11:20:02 - mmengine - INFO - Epoch(train) [80][1180/3757] lr: 1.0000e-03 eta: 5:08:05 time: 0.2359 data_time: 0.0289 memory: 6108 grad_norm: 8.9751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4449 loss: 1.4449 2022/07/23 11:20:07 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:20:07 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 1.0000e-03 eta: 5:08:00 time: 0.2345 data_time: 0.0289 memory: 6108 grad_norm: 8.4258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/07/23 11:20:12 - mmengine - INFO - Epoch(train) [80][1220/3757] lr: 1.0000e-03 eta: 5:07:55 time: 0.2318 data_time: 0.0200 memory: 6108 grad_norm: 8.8403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2256 loss: 1.2256 2022/07/23 11:20:16 - mmengine - INFO - Epoch(train) [80][1240/3757] lr: 1.0000e-03 eta: 5:07:50 time: 0.2316 data_time: 0.0312 memory: 6108 grad_norm: 8.6510 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1676 loss: 1.1676 2022/07/23 11:20:21 - mmengine - INFO - Epoch(train) [80][1260/3757] lr: 1.0000e-03 eta: 5:07:46 time: 0.2320 data_time: 0.0266 memory: 6108 grad_norm: 8.9399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0379 loss: 1.0379 2022/07/23 11:20:26 - mmengine - INFO - Epoch(train) [80][1280/3757] lr: 1.0000e-03 eta: 5:07:41 time: 0.2352 data_time: 0.0242 memory: 6108 grad_norm: 9.4328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1701 loss: 1.1701 2022/07/23 11:20:30 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 1.0000e-03 eta: 5:07:36 time: 0.2280 data_time: 0.0212 memory: 6108 grad_norm: 8.6709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8986 loss: 0.8986 2022/07/23 11:20:35 - mmengine - INFO - Epoch(train) [80][1320/3757] lr: 1.0000e-03 eta: 5:07:31 time: 0.2283 data_time: 0.0215 memory: 6108 grad_norm: 9.3662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3669 loss: 1.3669 2022/07/23 11:20:40 - mmengine - INFO - Epoch(train) [80][1340/3757] lr: 1.0000e-03 eta: 5:07:26 time: 0.2232 data_time: 0.0188 memory: 6108 grad_norm: 9.1759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0914 loss: 1.0914 2022/07/23 11:20:44 - mmengine - INFO - Epoch(train) [80][1360/3757] lr: 1.0000e-03 eta: 5:07:22 time: 0.2421 data_time: 0.0266 memory: 6108 grad_norm: 8.9832 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5084 loss: 1.5084 2022/07/23 11:20:49 - mmengine - INFO - Epoch(train) [80][1380/3757] lr: 1.0000e-03 eta: 5:07:17 time: 0.2302 data_time: 0.0239 memory: 6108 grad_norm: 9.0465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1903 loss: 1.1903 2022/07/23 11:20:54 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 1.0000e-03 eta: 5:07:12 time: 0.2328 data_time: 0.0237 memory: 6108 grad_norm: 8.9282 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2780 loss: 1.2780 2022/07/23 11:20:58 - mmengine - INFO - Epoch(train) [80][1420/3757] lr: 1.0000e-03 eta: 5:07:07 time: 0.2298 data_time: 0.0248 memory: 6108 grad_norm: 9.0499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/07/23 11:21:08 - mmengine - INFO - Epoch(train) [80][1440/3757] lr: 1.0000e-03 eta: 5:07:04 time: 0.4661 data_time: 0.2642 memory: 6108 grad_norm: 8.7729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4603 loss: 1.4603 2022/07/23 11:21:12 - mmengine - INFO - Epoch(train) [80][1460/3757] lr: 1.0000e-03 eta: 5:06:59 time: 0.2252 data_time: 0.0163 memory: 6108 grad_norm: 8.9892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1775 loss: 1.1775 2022/07/23 11:21:17 - mmengine - INFO - Epoch(train) [80][1480/3757] lr: 1.0000e-03 eta: 5:06:54 time: 0.2284 data_time: 0.0273 memory: 6108 grad_norm: 8.7995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0511 loss: 1.0511 2022/07/23 11:21:23 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 1.0000e-03 eta: 5:06:50 time: 0.2871 data_time: 0.0549 memory: 6108 grad_norm: 8.8492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3233 loss: 1.3233 2022/07/23 11:21:33 - mmengine - INFO - Epoch(train) [80][1520/3757] lr: 1.0000e-03 eta: 5:06:46 time: 0.5088 data_time: 0.0161 memory: 6108 grad_norm: 9.1950 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/07/23 11:21:43 - mmengine - INFO - Epoch(train) [80][1540/3757] lr: 1.0000e-03 eta: 5:06:43 time: 0.4945 data_time: 0.3050 memory: 6108 grad_norm: 8.8925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4032 loss: 1.4032 2022/07/23 11:21:57 - mmengine - INFO - Epoch(train) [80][1560/3757] lr: 1.0000e-03 eta: 5:06:40 time: 0.6910 data_time: 0.0179 memory: 6108 grad_norm: 9.3180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3152 loss: 1.3152 2022/07/23 11:22:07 - mmengine - INFO - Epoch(train) [80][1580/3757] lr: 1.0000e-03 eta: 5:06:37 time: 0.5268 data_time: 0.0176 memory: 6108 grad_norm: 8.9197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3699 loss: 1.3699 2022/07/23 11:22:18 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 1.0000e-03 eta: 5:06:34 time: 0.5433 data_time: 0.0200 memory: 6108 grad_norm: 8.8105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2157 loss: 1.2157 2022/07/23 11:22:33 - mmengine - INFO - Epoch(train) [80][1620/3757] lr: 1.0000e-03 eta: 5:06:32 time: 0.7630 data_time: 0.0190 memory: 6108 grad_norm: 8.8517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2168 loss: 1.2168 2022/07/23 11:22:44 - mmengine - INFO - Epoch(train) [80][1640/3757] lr: 1.0000e-03 eta: 5:06:29 time: 0.5097 data_time: 0.0194 memory: 6108 grad_norm: 8.6581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/07/23 11:22:51 - mmengine - INFO - Epoch(train) [80][1660/3757] lr: 1.0000e-03 eta: 5:06:25 time: 0.3781 data_time: 0.0149 memory: 6108 grad_norm: 8.8605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3032 loss: 1.3032 2022/07/23 11:22:58 - mmengine - INFO - Epoch(train) [80][1680/3757] lr: 1.0000e-03 eta: 5:06:20 time: 0.3393 data_time: 0.0180 memory: 6108 grad_norm: 9.1447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/07/23 11:23:05 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 1.0000e-03 eta: 5:06:16 time: 0.3656 data_time: 0.0195 memory: 6108 grad_norm: 9.1107 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4210 loss: 1.4210 2022/07/23 11:23:12 - mmengine - INFO - Epoch(train) [80][1720/3757] lr: 1.0000e-03 eta: 5:06:12 time: 0.3489 data_time: 0.0154 memory: 6108 grad_norm: 8.9078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/07/23 11:23:19 - mmengine - INFO - Epoch(train) [80][1740/3757] lr: 1.0000e-03 eta: 5:06:08 time: 0.3484 data_time: 0.0164 memory: 6108 grad_norm: 9.0162 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4989 loss: 1.4989 2022/07/23 11:23:27 - mmengine - INFO - Epoch(train) [80][1760/3757] lr: 1.0000e-03 eta: 5:06:04 time: 0.3665 data_time: 0.0398 memory: 6108 grad_norm: 8.6102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4400 loss: 1.4400 2022/07/23 11:23:34 - mmengine - INFO - Epoch(train) [80][1780/3757] lr: 1.0000e-03 eta: 5:06:00 time: 0.3638 data_time: 0.0221 memory: 6108 grad_norm: 8.5876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3565 loss: 1.3565 2022/07/23 11:23:38 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 1.0000e-03 eta: 5:05:55 time: 0.2206 data_time: 0.0201 memory: 6108 grad_norm: 8.6009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0458 loss: 1.0458 2022/07/23 11:23:43 - mmengine - INFO - Epoch(train) [80][1820/3757] lr: 1.0000e-03 eta: 5:05:50 time: 0.2346 data_time: 0.0236 memory: 6108 grad_norm: 9.3468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/07/23 11:23:50 - mmengine - INFO - Epoch(train) [80][1840/3757] lr: 1.0000e-03 eta: 5:05:46 time: 0.3692 data_time: 0.0171 memory: 6108 grad_norm: 9.1816 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2571 loss: 1.2571 2022/07/23 11:23:58 - mmengine - INFO - Epoch(train) [80][1860/3757] lr: 1.0000e-03 eta: 5:05:42 time: 0.3666 data_time: 0.0219 memory: 6108 grad_norm: 8.9293 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7323 loss: 1.7323 2022/07/23 11:24:06 - mmengine - INFO - Epoch(train) [80][1880/3757] lr: 1.0000e-03 eta: 5:05:38 time: 0.3959 data_time: 0.1925 memory: 6108 grad_norm: 8.4802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/07/23 11:24:10 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 1.0000e-03 eta: 5:05:33 time: 0.2203 data_time: 0.0175 memory: 6108 grad_norm: 8.7815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/07/23 11:24:15 - mmengine - INFO - Epoch(train) [80][1920/3757] lr: 1.0000e-03 eta: 5:05:28 time: 0.2387 data_time: 0.0268 memory: 6108 grad_norm: 8.6427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4580 loss: 1.4580 2022/07/23 11:24:23 - mmengine - INFO - Epoch(train) [80][1940/3757] lr: 1.0000e-03 eta: 5:05:24 time: 0.3892 data_time: 0.0183 memory: 6108 grad_norm: 8.9178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/07/23 11:24:27 - mmengine - INFO - Epoch(train) [80][1960/3757] lr: 1.0000e-03 eta: 5:05:19 time: 0.2259 data_time: 0.0226 memory: 6108 grad_norm: 8.6554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1327 loss: 1.1327 2022/07/23 11:24:32 - mmengine - INFO - Epoch(train) [80][1980/3757] lr: 1.0000e-03 eta: 5:05:15 time: 0.2531 data_time: 0.0268 memory: 6108 grad_norm: 9.2370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3831 loss: 1.3831 2022/07/23 11:24:37 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 1.0000e-03 eta: 5:05:10 time: 0.2280 data_time: 0.0287 memory: 6108 grad_norm: 8.8579 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2326 loss: 1.2326 2022/07/23 11:24:42 - mmengine - INFO - Epoch(train) [80][2020/3757] lr: 1.0000e-03 eta: 5:05:05 time: 0.2332 data_time: 0.0272 memory: 6108 grad_norm: 8.8991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3741 loss: 1.3741 2022/07/23 11:24:46 - mmengine - INFO - Epoch(train) [80][2040/3757] lr: 1.0000e-03 eta: 5:05:00 time: 0.2339 data_time: 0.0189 memory: 6108 grad_norm: 8.8888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/07/23 11:24:51 - mmengine - INFO - Epoch(train) [80][2060/3757] lr: 1.0000e-03 eta: 5:04:56 time: 0.2445 data_time: 0.0224 memory: 6108 grad_norm: 8.8316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1617 loss: 1.1617 2022/07/23 11:24:56 - mmengine - INFO - Epoch(train) [80][2080/3757] lr: 1.0000e-03 eta: 5:04:51 time: 0.2319 data_time: 0.0318 memory: 6108 grad_norm: 8.8429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/07/23 11:25:01 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 1.0000e-03 eta: 5:04:46 time: 0.2306 data_time: 0.0243 memory: 6108 grad_norm: 9.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4462 loss: 1.4462 2022/07/23 11:25:06 - mmengine - INFO - Epoch(train) [80][2120/3757] lr: 1.0000e-03 eta: 5:04:41 time: 0.2422 data_time: 0.0251 memory: 6108 grad_norm: 8.6214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/07/23 11:25:15 - mmengine - INFO - Epoch(train) [80][2140/3757] lr: 1.0000e-03 eta: 5:04:38 time: 0.4718 data_time: 0.0241 memory: 6108 grad_norm: 8.9282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1295 loss: 1.1295 2022/07/23 11:25:19 - mmengine - INFO - Epoch(train) [80][2160/3757] lr: 1.0000e-03 eta: 5:04:33 time: 0.2169 data_time: 0.0214 memory: 6108 grad_norm: 9.1684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2888 loss: 1.2888 2022/07/23 11:25:24 - mmengine - INFO - Epoch(train) [80][2180/3757] lr: 1.0000e-03 eta: 5:04:28 time: 0.2347 data_time: 0.0254 memory: 6108 grad_norm: 8.9135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2318 loss: 1.2318 2022/07/23 11:25:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:25:29 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 1.0000e-03 eta: 5:04:23 time: 0.2349 data_time: 0.0237 memory: 6108 grad_norm: 8.9227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2965 loss: 1.2965 2022/07/23 11:25:33 - mmengine - INFO - Epoch(train) [80][2220/3757] lr: 1.0000e-03 eta: 5:04:19 time: 0.2334 data_time: 0.0232 memory: 6108 grad_norm: 8.6587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2769 loss: 1.2769 2022/07/23 11:25:38 - mmengine - INFO - Epoch(train) [80][2240/3757] lr: 1.0000e-03 eta: 5:04:14 time: 0.2290 data_time: 0.0253 memory: 6108 grad_norm: 9.1905 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4265 loss: 1.4265 2022/07/23 11:25:43 - mmengine - INFO - Epoch(train) [80][2260/3757] lr: 1.0000e-03 eta: 5:04:09 time: 0.2326 data_time: 0.0285 memory: 6108 grad_norm: 8.7553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/07/23 11:25:47 - mmengine - INFO - Epoch(train) [80][2280/3757] lr: 1.0000e-03 eta: 5:04:04 time: 0.2320 data_time: 0.0254 memory: 6108 grad_norm: 9.3057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2968 loss: 1.2968 2022/07/23 11:25:52 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 1.0000e-03 eta: 5:03:59 time: 0.2424 data_time: 0.0295 memory: 6108 grad_norm: 8.8722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2025 loss: 1.2025 2022/07/23 11:25:57 - mmengine - INFO - Epoch(train) [80][2320/3757] lr: 1.0000e-03 eta: 5:03:55 time: 0.2310 data_time: 0.0288 memory: 6108 grad_norm: 9.0475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1760 loss: 1.1760 2022/07/23 11:26:02 - mmengine - INFO - Epoch(train) [80][2340/3757] lr: 1.0000e-03 eta: 5:03:50 time: 0.2453 data_time: 0.0184 memory: 6108 grad_norm: 8.9545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9798 loss: 0.9798 2022/07/23 11:26:07 - mmengine - INFO - Epoch(train) [80][2360/3757] lr: 1.0000e-03 eta: 5:03:45 time: 0.2414 data_time: 0.0259 memory: 6108 grad_norm: 8.9236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4728 loss: 1.4728 2022/07/23 11:26:11 - mmengine - INFO - Epoch(train) [80][2380/3757] lr: 1.0000e-03 eta: 5:03:40 time: 0.2300 data_time: 0.0280 memory: 6108 grad_norm: 8.4643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9059 loss: 0.9059 2022/07/23 11:26:16 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 1.0000e-03 eta: 5:03:36 time: 0.2308 data_time: 0.0270 memory: 6108 grad_norm: 8.8445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4421 loss: 1.4421 2022/07/23 11:26:21 - mmengine - INFO - Epoch(train) [80][2420/3757] lr: 1.0000e-03 eta: 5:03:31 time: 0.2341 data_time: 0.0253 memory: 6108 grad_norm: 8.9330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3285 loss: 1.3285 2022/07/23 11:26:26 - mmengine - INFO - Epoch(train) [80][2440/3757] lr: 1.0000e-03 eta: 5:03:26 time: 0.2604 data_time: 0.0240 memory: 6108 grad_norm: 9.0374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2452 loss: 1.2452 2022/07/23 11:26:31 - mmengine - INFO - Epoch(train) [80][2460/3757] lr: 1.0000e-03 eta: 5:03:21 time: 0.2295 data_time: 0.0257 memory: 6108 grad_norm: 8.8908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4654 loss: 1.4654 2022/07/23 11:26:35 - mmengine - INFO - Epoch(train) [80][2480/3757] lr: 1.0000e-03 eta: 5:03:17 time: 0.2417 data_time: 0.0239 memory: 6108 grad_norm: 9.0724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2263 loss: 1.2263 2022/07/23 11:26:40 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 1.0000e-03 eta: 5:03:12 time: 0.2337 data_time: 0.0220 memory: 6108 grad_norm: 8.8948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/07/23 11:26:45 - mmengine - INFO - Epoch(train) [80][2520/3757] lr: 1.0000e-03 eta: 5:03:07 time: 0.2278 data_time: 0.0214 memory: 6108 grad_norm: 8.9946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/07/23 11:26:49 - mmengine - INFO - Epoch(train) [80][2540/3757] lr: 1.0000e-03 eta: 5:03:02 time: 0.2336 data_time: 0.0219 memory: 6108 grad_norm: 8.7761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/07/23 11:26:54 - mmengine - INFO - Epoch(train) [80][2560/3757] lr: 1.0000e-03 eta: 5:02:57 time: 0.2374 data_time: 0.0219 memory: 6108 grad_norm: 9.1931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/23 11:26:59 - mmengine - INFO - Epoch(train) [80][2580/3757] lr: 1.0000e-03 eta: 5:02:53 time: 0.2455 data_time: 0.0224 memory: 6108 grad_norm: 8.7047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1395 loss: 1.1395 2022/07/23 11:27:04 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 1.0000e-03 eta: 5:02:48 time: 0.2436 data_time: 0.0288 memory: 6108 grad_norm: 9.3388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4166 loss: 1.4166 2022/07/23 11:27:09 - mmengine - INFO - Epoch(train) [80][2620/3757] lr: 1.0000e-03 eta: 5:02:43 time: 0.2339 data_time: 0.0239 memory: 6108 grad_norm: 8.7372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1948 loss: 1.1948 2022/07/23 11:27:13 - mmengine - INFO - Epoch(train) [80][2640/3757] lr: 1.0000e-03 eta: 5:02:38 time: 0.2349 data_time: 0.0250 memory: 6108 grad_norm: 8.6546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1908 loss: 1.1908 2022/07/23 11:27:18 - mmengine - INFO - Epoch(train) [80][2660/3757] lr: 1.0000e-03 eta: 5:02:34 time: 0.2373 data_time: 0.0285 memory: 6108 grad_norm: 8.9814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3402 loss: 1.3402 2022/07/23 11:27:23 - mmengine - INFO - Epoch(train) [80][2680/3757] lr: 1.0000e-03 eta: 5:02:29 time: 0.2272 data_time: 0.0233 memory: 6108 grad_norm: 8.8474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/07/23 11:27:27 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 1.0000e-03 eta: 5:02:24 time: 0.2324 data_time: 0.0268 memory: 6108 grad_norm: 8.6335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/07/23 11:27:32 - mmengine - INFO - Epoch(train) [80][2720/3757] lr: 1.0000e-03 eta: 5:02:19 time: 0.2432 data_time: 0.0209 memory: 6108 grad_norm: 8.8182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2186 loss: 1.2186 2022/07/23 11:27:37 - mmengine - INFO - Epoch(train) [80][2740/3757] lr: 1.0000e-03 eta: 5:02:14 time: 0.2378 data_time: 0.0295 memory: 6108 grad_norm: 8.9102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4373 loss: 1.4373 2022/07/23 11:27:42 - mmengine - INFO - Epoch(train) [80][2760/3757] lr: 1.0000e-03 eta: 5:02:10 time: 0.2428 data_time: 0.0216 memory: 6108 grad_norm: 9.1491 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4615 loss: 1.4615 2022/07/23 11:27:47 - mmengine - INFO - Epoch(train) [80][2780/3757] lr: 1.0000e-03 eta: 5:02:05 time: 0.2324 data_time: 0.0271 memory: 6108 grad_norm: 9.0287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2299 loss: 1.2299 2022/07/23 11:27:51 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 1.0000e-03 eta: 5:02:00 time: 0.2366 data_time: 0.0234 memory: 6108 grad_norm: 8.6731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4175 loss: 1.4175 2022/07/23 11:27:56 - mmengine - INFO - Epoch(train) [80][2820/3757] lr: 1.0000e-03 eta: 5:01:55 time: 0.2335 data_time: 0.0253 memory: 6108 grad_norm: 9.0454 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/07/23 11:28:01 - mmengine - INFO - Epoch(train) [80][2840/3757] lr: 1.0000e-03 eta: 5:01:51 time: 0.2334 data_time: 0.0251 memory: 6108 grad_norm: 8.7162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1832 loss: 1.1832 2022/07/23 11:28:05 - mmengine - INFO - Epoch(train) [80][2860/3757] lr: 1.0000e-03 eta: 5:01:46 time: 0.2280 data_time: 0.0207 memory: 6108 grad_norm: 8.6140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4136 loss: 1.4136 2022/07/23 11:28:10 - mmengine - INFO - Epoch(train) [80][2880/3757] lr: 1.0000e-03 eta: 5:01:41 time: 0.2304 data_time: 0.0222 memory: 6108 grad_norm: 8.9638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3436 loss: 1.3436 2022/07/23 11:28:15 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 1.0000e-03 eta: 5:01:36 time: 0.2497 data_time: 0.0243 memory: 6108 grad_norm: 8.9402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3078 loss: 1.3078 2022/07/23 11:28:20 - mmengine - INFO - Epoch(train) [80][2920/3757] lr: 1.0000e-03 eta: 5:01:31 time: 0.2234 data_time: 0.0203 memory: 6108 grad_norm: 8.9893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3292 loss: 1.3292 2022/07/23 11:28:24 - mmengine - INFO - Epoch(train) [80][2940/3757] lr: 1.0000e-03 eta: 5:01:27 time: 0.2327 data_time: 0.0299 memory: 6108 grad_norm: 8.8175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1640 loss: 1.1640 2022/07/23 11:28:29 - mmengine - INFO - Epoch(train) [80][2960/3757] lr: 1.0000e-03 eta: 5:01:22 time: 0.2288 data_time: 0.0256 memory: 6108 grad_norm: 8.9867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2169 loss: 1.2169 2022/07/23 11:28:34 - mmengine - INFO - Epoch(train) [80][2980/3757] lr: 1.0000e-03 eta: 5:01:17 time: 0.2465 data_time: 0.0238 memory: 6108 grad_norm: 8.6714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2664 loss: 1.2664 2022/07/23 11:28:39 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 1.0000e-03 eta: 5:01:12 time: 0.2352 data_time: 0.0233 memory: 6108 grad_norm: 8.8859 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3415 loss: 1.3415 2022/07/23 11:28:43 - mmengine - INFO - Epoch(train) [80][3020/3757] lr: 1.0000e-03 eta: 5:01:08 time: 0.2337 data_time: 0.0260 memory: 6108 grad_norm: 8.7285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/07/23 11:28:48 - mmengine - INFO - Epoch(train) [80][3040/3757] lr: 1.0000e-03 eta: 5:01:03 time: 0.2411 data_time: 0.0209 memory: 6108 grad_norm: 8.6364 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2418 loss: 1.2418 2022/07/23 11:28:53 - mmengine - INFO - Epoch(train) [80][3060/3757] lr: 1.0000e-03 eta: 5:00:58 time: 0.2347 data_time: 0.0235 memory: 6108 grad_norm: 8.6313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/07/23 11:28:58 - mmengine - INFO - Epoch(train) [80][3080/3757] lr: 1.0000e-03 eta: 5:00:53 time: 0.2369 data_time: 0.0288 memory: 6108 grad_norm: 8.7808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2316 loss: 1.2316 2022/07/23 11:29:02 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 1.0000e-03 eta: 5:00:49 time: 0.2400 data_time: 0.0211 memory: 6108 grad_norm: 8.7705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/07/23 11:29:07 - mmengine - INFO - Epoch(train) [80][3120/3757] lr: 1.0000e-03 eta: 5:00:44 time: 0.2265 data_time: 0.0215 memory: 6108 grad_norm: 8.7236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/07/23 11:29:12 - mmengine - INFO - Epoch(train) [80][3140/3757] lr: 1.0000e-03 eta: 5:00:39 time: 0.2308 data_time: 0.0269 memory: 6108 grad_norm: 8.6890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2305 loss: 1.2305 2022/07/23 11:29:16 - mmengine - INFO - Epoch(train) [80][3160/3757] lr: 1.0000e-03 eta: 5:00:34 time: 0.2317 data_time: 0.0196 memory: 6108 grad_norm: 8.8845 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2983 loss: 1.2983 2022/07/23 11:29:22 - mmengine - INFO - Epoch(train) [80][3180/3757] lr: 1.0000e-03 eta: 5:00:29 time: 0.2633 data_time: 0.0177 memory: 6108 grad_norm: 8.4899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4893 loss: 1.4893 2022/07/23 11:29:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:29:26 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 1.0000e-03 eta: 5:00:25 time: 0.2328 data_time: 0.0272 memory: 6108 grad_norm: 9.0963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4167 loss: 1.4167 2022/07/23 11:29:31 - mmengine - INFO - Epoch(train) [80][3220/3757] lr: 1.0000e-03 eta: 5:00:20 time: 0.2313 data_time: 0.0224 memory: 6108 grad_norm: 8.7009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/07/23 11:29:36 - mmengine - INFO - Epoch(train) [80][3240/3757] lr: 1.0000e-03 eta: 5:00:15 time: 0.2304 data_time: 0.0293 memory: 6108 grad_norm: 9.2900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1922 loss: 1.1922 2022/07/23 11:29:40 - mmengine - INFO - Epoch(train) [80][3260/3757] lr: 1.0000e-03 eta: 5:00:10 time: 0.2327 data_time: 0.0239 memory: 6108 grad_norm: 9.0979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0810 loss: 1.0810 2022/07/23 11:29:45 - mmengine - INFO - Epoch(train) [80][3280/3757] lr: 1.0000e-03 eta: 5:00:05 time: 0.2314 data_time: 0.0272 memory: 6108 grad_norm: 9.0741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4116 loss: 1.4116 2022/07/23 11:29:50 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 1.0000e-03 eta: 5:00:01 time: 0.2380 data_time: 0.0202 memory: 6108 grad_norm: 8.7402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4404 loss: 1.4404 2022/07/23 11:29:54 - mmengine - INFO - Epoch(train) [80][3320/3757] lr: 1.0000e-03 eta: 4:59:56 time: 0.2355 data_time: 0.0260 memory: 6108 grad_norm: 8.8995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/07/23 11:29:59 - mmengine - INFO - Epoch(train) [80][3340/3757] lr: 1.0000e-03 eta: 4:59:51 time: 0.2255 data_time: 0.0274 memory: 6108 grad_norm: 8.5690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1553 loss: 1.1553 2022/07/23 11:30:04 - mmengine - INFO - Epoch(train) [80][3360/3757] lr: 1.0000e-03 eta: 4:59:46 time: 0.2371 data_time: 0.0241 memory: 6108 grad_norm: 8.6332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/07/23 11:30:08 - mmengine - INFO - Epoch(train) [80][3380/3757] lr: 1.0000e-03 eta: 4:59:42 time: 0.2340 data_time: 0.0312 memory: 6108 grad_norm: 9.4150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1842 loss: 1.1842 2022/07/23 11:30:13 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 1.0000e-03 eta: 4:59:37 time: 0.2282 data_time: 0.0246 memory: 6108 grad_norm: 9.1822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5497 loss: 1.5497 2022/07/23 11:30:18 - mmengine - INFO - Epoch(train) [80][3420/3757] lr: 1.0000e-03 eta: 4:59:32 time: 0.2305 data_time: 0.0226 memory: 6108 grad_norm: 8.9401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5030 loss: 1.5030 2022/07/23 11:30:23 - mmengine - INFO - Epoch(train) [80][3440/3757] lr: 1.0000e-03 eta: 4:59:27 time: 0.2406 data_time: 0.0260 memory: 6108 grad_norm: 8.9329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/07/23 11:30:27 - mmengine - INFO - Epoch(train) [80][3460/3757] lr: 1.0000e-03 eta: 4:59:22 time: 0.2303 data_time: 0.0216 memory: 6108 grad_norm: 8.9043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/07/23 11:30:32 - mmengine - INFO - Epoch(train) [80][3480/3757] lr: 1.0000e-03 eta: 4:59:18 time: 0.2423 data_time: 0.0279 memory: 6108 grad_norm: 8.8110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3085 loss: 1.3085 2022/07/23 11:30:37 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 1.0000e-03 eta: 4:59:13 time: 0.2377 data_time: 0.0300 memory: 6108 grad_norm: 8.6693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1875 loss: 1.1875 2022/07/23 11:30:41 - mmengine - INFO - Epoch(train) [80][3520/3757] lr: 1.0000e-03 eta: 4:59:08 time: 0.2300 data_time: 0.0197 memory: 6108 grad_norm: 8.9493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3460 loss: 1.3460 2022/07/23 11:30:46 - mmengine - INFO - Epoch(train) [80][3540/3757] lr: 1.0000e-03 eta: 4:59:03 time: 0.2308 data_time: 0.0219 memory: 6108 grad_norm: 8.7684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3756 loss: 1.3756 2022/07/23 11:30:51 - mmengine - INFO - Epoch(train) [80][3560/3757] lr: 1.0000e-03 eta: 4:58:58 time: 0.2267 data_time: 0.0210 memory: 6108 grad_norm: 8.7819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1487 loss: 1.1487 2022/07/23 11:30:55 - mmengine - INFO - Epoch(train) [80][3580/3757] lr: 1.0000e-03 eta: 4:58:54 time: 0.2355 data_time: 0.0206 memory: 6108 grad_norm: 8.2853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2288 loss: 1.2288 2022/07/23 11:31:00 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 1.0000e-03 eta: 4:58:49 time: 0.2355 data_time: 0.0302 memory: 6108 grad_norm: 8.8951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3469 loss: 1.3469 2022/07/23 11:31:05 - mmengine - INFO - Epoch(train) [80][3620/3757] lr: 1.0000e-03 eta: 4:58:44 time: 0.2398 data_time: 0.0264 memory: 6108 grad_norm: 9.1287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3687 loss: 1.3687 2022/07/23 11:31:10 - mmengine - INFO - Epoch(train) [80][3640/3757] lr: 1.0000e-03 eta: 4:58:39 time: 0.2266 data_time: 0.0243 memory: 6108 grad_norm: 9.0072 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3504 loss: 1.3504 2022/07/23 11:31:14 - mmengine - INFO - Epoch(train) [80][3660/3757] lr: 1.0000e-03 eta: 4:58:35 time: 0.2372 data_time: 0.0272 memory: 6108 grad_norm: 8.7408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3616 loss: 1.3616 2022/07/23 11:31:19 - mmengine - INFO - Epoch(train) [80][3680/3757] lr: 1.0000e-03 eta: 4:58:30 time: 0.2362 data_time: 0.0213 memory: 6108 grad_norm: 9.1238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3630 loss: 1.3630 2022/07/23 11:31:24 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 1.0000e-03 eta: 4:58:25 time: 0.2370 data_time: 0.0246 memory: 6108 grad_norm: 9.0661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2050 loss: 1.2050 2022/07/23 11:31:28 - mmengine - INFO - Epoch(train) [80][3720/3757] lr: 1.0000e-03 eta: 4:58:20 time: 0.2300 data_time: 0.0190 memory: 6108 grad_norm: 9.0956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2775 loss: 1.2775 2022/07/23 11:31:33 - mmengine - INFO - Epoch(train) [80][3740/3757] lr: 1.0000e-03 eta: 4:58:16 time: 0.2397 data_time: 0.0302 memory: 6108 grad_norm: 8.6319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4125 loss: 1.4125 2022/07/23 11:31:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:31:37 - mmengine - INFO - Epoch(train) [80][3757/3757] lr: 1.0000e-03 eta: 4:58:16 time: 0.1974 data_time: 0.0197 memory: 6108 grad_norm: 8.7005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2399 loss: 1.2399 2022/07/23 11:31:37 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/07/23 11:31:45 - mmengine - INFO - Epoch(val) [80][20/310] eta: 0:01:20 time: 0.2770 data_time: 0.1995 memory: 1428 2022/07/23 11:31:49 - mmengine - INFO - Epoch(val) [80][40/310] eta: 0:00:51 time: 0.1923 data_time: 0.1101 memory: 1428 2022/07/23 11:31:53 - mmengine - INFO - Epoch(val) [80][60/310] eta: 0:00:54 time: 0.2170 data_time: 0.1417 memory: 1428 2022/07/23 11:31:58 - mmengine - INFO - Epoch(val) [80][80/310] eta: 0:00:49 time: 0.2138 data_time: 0.1363 memory: 1428 2022/07/23 11:32:02 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:00:46 time: 0.2209 data_time: 0.1468 memory: 1428 2022/07/23 11:32:06 - mmengine - INFO - Epoch(val) [80][120/310] eta: 0:00:37 time: 0.1967 data_time: 0.1216 memory: 1428 2022/07/23 11:32:11 - mmengine - INFO - Epoch(val) [80][140/310] eta: 0:00:39 time: 0.2315 data_time: 0.1567 memory: 1428 2022/07/23 11:32:15 - mmengine - INFO - Epoch(val) [80][160/310] eta: 0:00:29 time: 0.1943 data_time: 0.1196 memory: 1428 2022/07/23 11:32:19 - mmengine - INFO - Epoch(val) [80][180/310] eta: 0:00:31 time: 0.2436 data_time: 0.1657 memory: 1428 2022/07/23 11:32:23 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:20 time: 0.1860 data_time: 0.1020 memory: 1428 2022/07/23 11:32:29 - mmengine - INFO - Epoch(val) [80][220/310] eta: 0:00:23 time: 0.2642 data_time: 0.1910 memory: 1428 2022/07/23 11:32:32 - mmengine - INFO - Epoch(val) [80][240/310] eta: 0:00:13 time: 0.1897 data_time: 0.1166 memory: 1428 2022/07/23 11:32:37 - mmengine - INFO - Epoch(val) [80][260/310] eta: 0:00:11 time: 0.2391 data_time: 0.1673 memory: 1428 2022/07/23 11:32:41 - mmengine - INFO - Epoch(val) [80][280/310] eta: 0:00:06 time: 0.2034 data_time: 0.1298 memory: 1428 2022/07/23 11:32:44 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:01 time: 0.1456 data_time: 0.0887 memory: 1428 2022/07/23 11:32:46 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.6543 acc/top5: 0.8598 acc/mean1: 0.6542 2022/07/23 11:32:53 - mmengine - INFO - Epoch(train) [81][20/3757] lr: 1.0000e-04 eta: 4:58:06 time: 0.3348 data_time: 0.1188 memory: 6108 grad_norm: 9.0130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5146 loss: 1.5146 2022/07/23 11:32:58 - mmengine - INFO - Epoch(train) [81][40/3757] lr: 1.0000e-04 eta: 4:58:01 time: 0.2308 data_time: 0.0205 memory: 6108 grad_norm: 8.5127 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/07/23 11:33:03 - mmengine - INFO - Epoch(train) [81][60/3757] lr: 1.0000e-04 eta: 4:57:57 time: 0.2385 data_time: 0.0221 memory: 6108 grad_norm: 8.4098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2144 loss: 1.2144 2022/07/23 11:33:08 - mmengine - INFO - Epoch(train) [81][80/3757] lr: 1.0000e-04 eta: 4:57:52 time: 0.2450 data_time: 0.0181 memory: 6108 grad_norm: 8.6830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/07/23 11:33:12 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 1.0000e-04 eta: 4:57:47 time: 0.2275 data_time: 0.0264 memory: 6108 grad_norm: 8.8697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1921 loss: 1.1921 2022/07/23 11:33:17 - mmengine - INFO - Epoch(train) [81][120/3757] lr: 1.0000e-04 eta: 4:57:42 time: 0.2311 data_time: 0.0285 memory: 6108 grad_norm: 9.1360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/07/23 11:33:22 - mmengine - INFO - Epoch(train) [81][140/3757] lr: 1.0000e-04 eta: 4:57:37 time: 0.2318 data_time: 0.0314 memory: 6108 grad_norm: 8.4852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/23 11:33:26 - mmengine - INFO - Epoch(train) [81][160/3757] lr: 1.0000e-04 eta: 4:57:33 time: 0.2297 data_time: 0.0194 memory: 6108 grad_norm: 8.8799 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3260 loss: 1.3260 2022/07/23 11:33:31 - mmengine - INFO - Epoch(train) [81][180/3757] lr: 1.0000e-04 eta: 4:57:28 time: 0.2299 data_time: 0.0256 memory: 6108 grad_norm: 9.1011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3303 loss: 1.3303 2022/07/23 11:33:35 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 1.0000e-04 eta: 4:57:23 time: 0.2316 data_time: 0.0208 memory: 6108 grad_norm: 8.3533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4289 loss: 1.4289 2022/07/23 11:33:40 - mmengine - INFO - Epoch(train) [81][220/3757] lr: 1.0000e-04 eta: 4:57:18 time: 0.2284 data_time: 0.0247 memory: 6108 grad_norm: 8.5014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/07/23 11:33:45 - mmengine - INFO - Epoch(train) [81][240/3757] lr: 1.0000e-04 eta: 4:57:13 time: 0.2355 data_time: 0.0360 memory: 6108 grad_norm: 8.5052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0691 loss: 1.0691 2022/07/23 11:33:49 - mmengine - INFO - Epoch(train) [81][260/3757] lr: 1.0000e-04 eta: 4:57:09 time: 0.2284 data_time: 0.0185 memory: 6108 grad_norm: 8.8504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2270 loss: 1.2270 2022/07/23 11:33:54 - mmengine - INFO - Epoch(train) [81][280/3757] lr: 1.0000e-04 eta: 4:57:04 time: 0.2413 data_time: 0.0280 memory: 6108 grad_norm: 8.4003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2048 loss: 1.2048 2022/07/23 11:33:59 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 1.0000e-04 eta: 4:56:59 time: 0.2364 data_time: 0.0269 memory: 6108 grad_norm: 8.8904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2145 loss: 1.2145 2022/07/23 11:34:04 - mmengine - INFO - Epoch(train) [81][320/3757] lr: 1.0000e-04 eta: 4:56:54 time: 0.2315 data_time: 0.0190 memory: 6108 grad_norm: 8.6576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2361 loss: 1.2361 2022/07/23 11:34:08 - mmengine - INFO - Epoch(train) [81][340/3757] lr: 1.0000e-04 eta: 4:56:50 time: 0.2341 data_time: 0.0219 memory: 6108 grad_norm: 9.0730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/07/23 11:34:13 - mmengine - INFO - Epoch(train) [81][360/3757] lr: 1.0000e-04 eta: 4:56:45 time: 0.2339 data_time: 0.0273 memory: 6108 grad_norm: 8.4733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/07/23 11:34:18 - mmengine - INFO - Epoch(train) [81][380/3757] lr: 1.0000e-04 eta: 4:56:40 time: 0.2299 data_time: 0.0248 memory: 6108 grad_norm: 8.8833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/23 11:34:22 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 1.0000e-04 eta: 4:56:35 time: 0.2287 data_time: 0.0260 memory: 6108 grad_norm: 8.7025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5540 loss: 1.5540 2022/07/23 11:34:27 - mmengine - INFO - Epoch(train) [81][420/3757] lr: 1.0000e-04 eta: 4:56:30 time: 0.2288 data_time: 0.0244 memory: 6108 grad_norm: 8.8259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/07/23 11:34:32 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:34:32 - mmengine - INFO - Epoch(train) [81][440/3757] lr: 1.0000e-04 eta: 4:56:26 time: 0.2363 data_time: 0.0244 memory: 6108 grad_norm: 8.2797 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1149 loss: 1.1149 2022/07/23 11:34:37 - mmengine - INFO - Epoch(train) [81][460/3757] lr: 1.0000e-04 eta: 4:56:21 time: 0.2482 data_time: 0.0182 memory: 6108 grad_norm: 8.6217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/23 11:34:41 - mmengine - INFO - Epoch(train) [81][480/3757] lr: 1.0000e-04 eta: 4:56:16 time: 0.2305 data_time: 0.0263 memory: 6108 grad_norm: 8.7975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0421 loss: 1.0421 2022/07/23 11:34:46 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 1.0000e-04 eta: 4:56:11 time: 0.2371 data_time: 0.0297 memory: 6108 grad_norm: 8.5677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8860 loss: 0.8860 2022/07/23 11:34:51 - mmengine - INFO - Epoch(train) [81][520/3757] lr: 1.0000e-04 eta: 4:56:07 time: 0.2405 data_time: 0.0234 memory: 6108 grad_norm: 8.5974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/07/23 11:34:56 - mmengine - INFO - Epoch(train) [81][540/3757] lr: 1.0000e-04 eta: 4:56:02 time: 0.2335 data_time: 0.0254 memory: 6108 grad_norm: 8.6387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/07/23 11:35:00 - mmengine - INFO - Epoch(train) [81][560/3757] lr: 1.0000e-04 eta: 4:55:57 time: 0.2288 data_time: 0.0199 memory: 6108 grad_norm: 8.9289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2921 loss: 1.2921 2022/07/23 11:35:05 - mmengine - INFO - Epoch(train) [81][580/3757] lr: 1.0000e-04 eta: 4:55:52 time: 0.2304 data_time: 0.0228 memory: 6108 grad_norm: 8.5071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/07/23 11:35:10 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 1.0000e-04 eta: 4:55:47 time: 0.2314 data_time: 0.0255 memory: 6108 grad_norm: 8.5208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/07/23 11:35:14 - mmengine - INFO - Epoch(train) [81][620/3757] lr: 1.0000e-04 eta: 4:55:43 time: 0.2349 data_time: 0.0274 memory: 6108 grad_norm: 8.1856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/07/23 11:35:19 - mmengine - INFO - Epoch(train) [81][640/3757] lr: 1.0000e-04 eta: 4:55:38 time: 0.2285 data_time: 0.0209 memory: 6108 grad_norm: 8.7572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/07/23 11:35:24 - mmengine - INFO - Epoch(train) [81][660/3757] lr: 1.0000e-04 eta: 4:55:33 time: 0.2384 data_time: 0.0233 memory: 6108 grad_norm: 8.7177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/07/23 11:35:28 - mmengine - INFO - Epoch(train) [81][680/3757] lr: 1.0000e-04 eta: 4:55:28 time: 0.2353 data_time: 0.0197 memory: 6108 grad_norm: 8.4427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3323 loss: 1.3323 2022/07/23 11:35:33 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 1.0000e-04 eta: 4:55:23 time: 0.2376 data_time: 0.0233 memory: 6108 grad_norm: 8.8393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1463 loss: 1.1463 2022/07/23 11:35:38 - mmengine - INFO - Epoch(train) [81][720/3757] lr: 1.0000e-04 eta: 4:55:19 time: 0.2308 data_time: 0.0188 memory: 6108 grad_norm: 8.5028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/07/23 11:35:42 - mmengine - INFO - Epoch(train) [81][740/3757] lr: 1.0000e-04 eta: 4:55:14 time: 0.2333 data_time: 0.0244 memory: 6108 grad_norm: 8.5064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2014 loss: 1.2014 2022/07/23 11:35:47 - mmengine - INFO - Epoch(train) [81][760/3757] lr: 1.0000e-04 eta: 4:55:09 time: 0.2338 data_time: 0.0200 memory: 6108 grad_norm: 8.6908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/07/23 11:35:52 - mmengine - INFO - Epoch(train) [81][780/3757] lr: 1.0000e-04 eta: 4:55:04 time: 0.2426 data_time: 0.0226 memory: 6108 grad_norm: 8.8443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3255 loss: 1.3255 2022/07/23 11:35:57 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 1.0000e-04 eta: 4:55:00 time: 0.2349 data_time: 0.0211 memory: 6108 grad_norm: 8.1410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/07/23 11:36:01 - mmengine - INFO - Epoch(train) [81][820/3757] lr: 1.0000e-04 eta: 4:54:55 time: 0.2254 data_time: 0.0200 memory: 6108 grad_norm: 8.7459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9712 loss: 0.9712 2022/07/23 11:36:06 - mmengine - INFO - Epoch(train) [81][840/3757] lr: 1.0000e-04 eta: 4:54:50 time: 0.2363 data_time: 0.0245 memory: 6108 grad_norm: 8.5709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2261 loss: 1.2261 2022/07/23 11:36:17 - mmengine - INFO - Epoch(train) [81][860/3757] lr: 1.0000e-04 eta: 4:54:47 time: 0.5229 data_time: 0.0228 memory: 6108 grad_norm: 8.8783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3056 loss: 1.3056 2022/07/23 11:36:21 - mmengine - INFO - Epoch(train) [81][880/3757] lr: 1.0000e-04 eta: 4:54:42 time: 0.2331 data_time: 0.0290 memory: 6108 grad_norm: 8.8231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2642 loss: 1.2642 2022/07/23 11:36:26 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 1.0000e-04 eta: 4:54:37 time: 0.2320 data_time: 0.0247 memory: 6108 grad_norm: 8.3760 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/07/23 11:36:31 - mmengine - INFO - Epoch(train) [81][920/3757] lr: 1.0000e-04 eta: 4:54:32 time: 0.2312 data_time: 0.0200 memory: 6108 grad_norm: 8.5204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/07/23 11:36:35 - mmengine - INFO - Epoch(train) [81][940/3757] lr: 1.0000e-04 eta: 4:54:27 time: 0.2301 data_time: 0.0242 memory: 6108 grad_norm: 8.5266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/07/23 11:36:40 - mmengine - INFO - Epoch(train) [81][960/3757] lr: 1.0000e-04 eta: 4:54:23 time: 0.2307 data_time: 0.0252 memory: 6108 grad_norm: 8.7229 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/07/23 11:36:45 - mmengine - INFO - Epoch(train) [81][980/3757] lr: 1.0000e-04 eta: 4:54:18 time: 0.2334 data_time: 0.0204 memory: 6108 grad_norm: 8.5392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2806 loss: 1.2806 2022/07/23 11:36:49 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 1.0000e-04 eta: 4:54:13 time: 0.2316 data_time: 0.0299 memory: 6108 grad_norm: 9.2078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2636 loss: 1.2636 2022/07/23 11:36:54 - mmengine - INFO - Epoch(train) [81][1020/3757] lr: 1.0000e-04 eta: 4:54:08 time: 0.2282 data_time: 0.0206 memory: 6108 grad_norm: 8.6064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5037 loss: 1.5037 2022/07/23 11:36:58 - mmengine - INFO - Epoch(train) [81][1040/3757] lr: 1.0000e-04 eta: 4:54:03 time: 0.2285 data_time: 0.0216 memory: 6108 grad_norm: 8.8040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2489 loss: 1.2489 2022/07/23 11:37:03 - mmengine - INFO - Epoch(train) [81][1060/3757] lr: 1.0000e-04 eta: 4:53:59 time: 0.2378 data_time: 0.0234 memory: 6108 grad_norm: 8.7869 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1177 loss: 1.1177 2022/07/23 11:37:08 - mmengine - INFO - Epoch(train) [81][1080/3757] lr: 1.0000e-04 eta: 4:53:54 time: 0.2244 data_time: 0.0223 memory: 6108 grad_norm: 8.5601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/07/23 11:37:12 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 1.0000e-04 eta: 4:53:49 time: 0.2322 data_time: 0.0207 memory: 6108 grad_norm: 8.9074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2833 loss: 1.2833 2022/07/23 11:37:17 - mmengine - INFO - Epoch(train) [81][1120/3757] lr: 1.0000e-04 eta: 4:53:44 time: 0.2296 data_time: 0.0224 memory: 6108 grad_norm: 8.5352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/07/23 11:37:22 - mmengine - INFO - Epoch(train) [81][1140/3757] lr: 1.0000e-04 eta: 4:53:40 time: 0.2499 data_time: 0.0218 memory: 6108 grad_norm: 8.9334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3210 loss: 1.3210 2022/07/23 11:37:27 - mmengine - INFO - Epoch(train) [81][1160/3757] lr: 1.0000e-04 eta: 4:53:35 time: 0.2306 data_time: 0.0191 memory: 6108 grad_norm: 9.1733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1187 loss: 1.1187 2022/07/23 11:37:31 - mmengine - INFO - Epoch(train) [81][1180/3757] lr: 1.0000e-04 eta: 4:53:30 time: 0.2348 data_time: 0.0284 memory: 6108 grad_norm: 8.6543 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/07/23 11:37:36 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 1.0000e-04 eta: 4:53:25 time: 0.2304 data_time: 0.0214 memory: 6108 grad_norm: 8.9875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/07/23 11:37:41 - mmengine - INFO - Epoch(train) [81][1220/3757] lr: 1.0000e-04 eta: 4:53:20 time: 0.2335 data_time: 0.0258 memory: 6108 grad_norm: 8.7365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/07/23 11:37:46 - mmengine - INFO - Epoch(train) [81][1240/3757] lr: 1.0000e-04 eta: 4:53:16 time: 0.2383 data_time: 0.0233 memory: 6108 grad_norm: 8.8524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/07/23 11:37:50 - mmengine - INFO - Epoch(train) [81][1260/3757] lr: 1.0000e-04 eta: 4:53:11 time: 0.2285 data_time: 0.0197 memory: 6108 grad_norm: 8.4101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/07/23 11:37:55 - mmengine - INFO - Epoch(train) [81][1280/3757] lr: 1.0000e-04 eta: 4:53:06 time: 0.2428 data_time: 0.0205 memory: 6108 grad_norm: 8.7004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2538 loss: 1.2538 2022/07/23 11:38:00 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 1.0000e-04 eta: 4:53:01 time: 0.2328 data_time: 0.0332 memory: 6108 grad_norm: 8.6815 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2559 loss: 1.2559 2022/07/23 11:38:04 - mmengine - INFO - Epoch(train) [81][1320/3757] lr: 1.0000e-04 eta: 4:52:57 time: 0.2276 data_time: 0.0218 memory: 6108 grad_norm: 9.0695 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2556 loss: 1.2556 2022/07/23 11:38:09 - mmengine - INFO - Epoch(train) [81][1340/3757] lr: 1.0000e-04 eta: 4:52:52 time: 0.2296 data_time: 0.0318 memory: 6108 grad_norm: 8.4398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9675 loss: 0.9675 2022/07/23 11:38:14 - mmengine - INFO - Epoch(train) [81][1360/3757] lr: 1.0000e-04 eta: 4:52:47 time: 0.2324 data_time: 0.0325 memory: 6108 grad_norm: 8.6208 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2874 loss: 1.2874 2022/07/23 11:38:18 - mmengine - INFO - Epoch(train) [81][1380/3757] lr: 1.0000e-04 eta: 4:52:42 time: 0.2327 data_time: 0.0229 memory: 6108 grad_norm: 8.6786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/07/23 11:38:23 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 1.0000e-04 eta: 4:52:37 time: 0.2572 data_time: 0.0169 memory: 6108 grad_norm: 8.3816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2126 loss: 1.2126 2022/07/23 11:38:28 - mmengine - INFO - Epoch(train) [81][1420/3757] lr: 1.0000e-04 eta: 4:52:33 time: 0.2400 data_time: 0.0232 memory: 6108 grad_norm: 8.6793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1800 loss: 1.1800 2022/07/23 11:38:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:38:33 - mmengine - INFO - Epoch(train) [81][1440/3757] lr: 1.0000e-04 eta: 4:52:28 time: 0.2287 data_time: 0.0236 memory: 6108 grad_norm: 9.0625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/07/23 11:38:37 - mmengine - INFO - Epoch(train) [81][1460/3757] lr: 1.0000e-04 eta: 4:52:23 time: 0.2296 data_time: 0.0212 memory: 6108 grad_norm: 8.7682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1753 loss: 1.1753 2022/07/23 11:38:42 - mmengine - INFO - Epoch(train) [81][1480/3757] lr: 1.0000e-04 eta: 4:52:18 time: 0.2331 data_time: 0.0261 memory: 6108 grad_norm: 8.6375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2174 loss: 1.2174 2022/07/23 11:38:47 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 1.0000e-04 eta: 4:52:13 time: 0.2260 data_time: 0.0201 memory: 6108 grad_norm: 8.6249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2091 loss: 1.2091 2022/07/23 11:38:51 - mmengine - INFO - Epoch(train) [81][1520/3757] lr: 1.0000e-04 eta: 4:52:09 time: 0.2342 data_time: 0.0228 memory: 6108 grad_norm: 8.7022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/07/23 11:38:56 - mmengine - INFO - Epoch(train) [81][1540/3757] lr: 1.0000e-04 eta: 4:52:04 time: 0.2324 data_time: 0.0232 memory: 6108 grad_norm: 8.5505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0035 loss: 1.0035 2022/07/23 11:39:01 - mmengine - INFO - Epoch(train) [81][1560/3757] lr: 1.0000e-04 eta: 4:51:59 time: 0.2319 data_time: 0.0207 memory: 6108 grad_norm: 8.6217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2687 loss: 1.2687 2022/07/23 11:39:06 - mmengine - INFO - Epoch(train) [81][1580/3757] lr: 1.0000e-04 eta: 4:51:54 time: 0.2423 data_time: 0.0188 memory: 6108 grad_norm: 8.8125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1810 loss: 1.1810 2022/07/23 11:39:10 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 1.0000e-04 eta: 4:51:50 time: 0.2264 data_time: 0.0232 memory: 6108 grad_norm: 8.5678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3425 loss: 1.3425 2022/07/23 11:39:15 - mmengine - INFO - Epoch(train) [81][1620/3757] lr: 1.0000e-04 eta: 4:51:45 time: 0.2403 data_time: 0.0219 memory: 6108 grad_norm: 8.9146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/07/23 11:39:20 - mmengine - INFO - Epoch(train) [81][1640/3757] lr: 1.0000e-04 eta: 4:51:40 time: 0.2344 data_time: 0.0175 memory: 6108 grad_norm: 8.8534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/07/23 11:39:24 - mmengine - INFO - Epoch(train) [81][1660/3757] lr: 1.0000e-04 eta: 4:51:35 time: 0.2292 data_time: 0.0312 memory: 6108 grad_norm: 8.7894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/07/23 11:39:29 - mmengine - INFO - Epoch(train) [81][1680/3757] lr: 1.0000e-04 eta: 4:51:30 time: 0.2360 data_time: 0.0300 memory: 6108 grad_norm: 8.2997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/07/23 11:39:34 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 1.0000e-04 eta: 4:51:26 time: 0.2345 data_time: 0.0181 memory: 6108 grad_norm: 8.8368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0297 loss: 1.0297 2022/07/23 11:39:38 - mmengine - INFO - Epoch(train) [81][1720/3757] lr: 1.0000e-04 eta: 4:51:21 time: 0.2300 data_time: 0.0276 memory: 6108 grad_norm: 8.8916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/07/23 11:39:43 - mmengine - INFO - Epoch(train) [81][1740/3757] lr: 1.0000e-04 eta: 4:51:16 time: 0.2301 data_time: 0.0208 memory: 6108 grad_norm: 8.6824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/07/23 11:39:48 - mmengine - INFO - Epoch(train) [81][1760/3757] lr: 1.0000e-04 eta: 4:51:11 time: 0.2284 data_time: 0.0198 memory: 6108 grad_norm: 8.4465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1425 loss: 1.1425 2022/07/23 11:39:52 - mmengine - INFO - Epoch(train) [81][1780/3757] lr: 1.0000e-04 eta: 4:51:07 time: 0.2375 data_time: 0.0232 memory: 6108 grad_norm: 9.0153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/07/23 11:39:57 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 1.0000e-04 eta: 4:51:02 time: 0.2272 data_time: 0.0189 memory: 6108 grad_norm: 8.8221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3183 loss: 1.3183 2022/07/23 11:40:02 - mmengine - INFO - Epoch(train) [81][1820/3757] lr: 1.0000e-04 eta: 4:50:57 time: 0.2280 data_time: 0.0195 memory: 6108 grad_norm: 8.8825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2817 loss: 1.2817 2022/07/23 11:40:07 - mmengine - INFO - Epoch(train) [81][1840/3757] lr: 1.0000e-04 eta: 4:50:52 time: 0.2483 data_time: 0.0245 memory: 6108 grad_norm: 8.6716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/07/23 11:40:11 - mmengine - INFO - Epoch(train) [81][1860/3757] lr: 1.0000e-04 eta: 4:50:47 time: 0.2266 data_time: 0.0201 memory: 6108 grad_norm: 8.9242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0933 loss: 1.0933 2022/07/23 11:40:16 - mmengine - INFO - Epoch(train) [81][1880/3757] lr: 1.0000e-04 eta: 4:50:43 time: 0.2319 data_time: 0.0230 memory: 6108 grad_norm: 8.8965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/07/23 11:40:20 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 1.0000e-04 eta: 4:50:38 time: 0.2262 data_time: 0.0209 memory: 6108 grad_norm: 8.9791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2978 loss: 1.2978 2022/07/23 11:40:25 - mmengine - INFO - Epoch(train) [81][1920/3757] lr: 1.0000e-04 eta: 4:50:33 time: 0.2297 data_time: 0.0273 memory: 6108 grad_norm: 9.1856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/23 11:40:30 - mmengine - INFO - Epoch(train) [81][1940/3757] lr: 1.0000e-04 eta: 4:50:28 time: 0.2315 data_time: 0.0244 memory: 6108 grad_norm: 8.7947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/07/23 11:40:34 - mmengine - INFO - Epoch(train) [81][1960/3757] lr: 1.0000e-04 eta: 4:50:23 time: 0.2393 data_time: 0.0214 memory: 6108 grad_norm: 8.7868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/07/23 11:40:39 - mmengine - INFO - Epoch(train) [81][1980/3757] lr: 1.0000e-04 eta: 4:50:19 time: 0.2309 data_time: 0.0244 memory: 6108 grad_norm: 8.6508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2591 loss: 1.2591 2022/07/23 11:40:44 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 1.0000e-04 eta: 4:50:14 time: 0.2322 data_time: 0.0241 memory: 6108 grad_norm: 9.0231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/07/23 11:40:48 - mmengine - INFO - Epoch(train) [81][2020/3757] lr: 1.0000e-04 eta: 4:50:09 time: 0.2333 data_time: 0.0294 memory: 6108 grad_norm: 8.8264 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0741 loss: 1.0741 2022/07/23 11:40:53 - mmengine - INFO - Epoch(train) [81][2040/3757] lr: 1.0000e-04 eta: 4:50:04 time: 0.2302 data_time: 0.0227 memory: 6108 grad_norm: 8.8014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2706 loss: 1.2706 2022/07/23 11:40:58 - mmengine - INFO - Epoch(train) [81][2060/3757] lr: 1.0000e-04 eta: 4:49:59 time: 0.2303 data_time: 0.0218 memory: 6108 grad_norm: 8.6933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3700 loss: 1.3700 2022/07/23 11:41:03 - mmengine - INFO - Epoch(train) [81][2080/3757] lr: 1.0000e-04 eta: 4:49:55 time: 0.2553 data_time: 0.0575 memory: 6108 grad_norm: 8.5603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0655 loss: 1.0655 2022/07/23 11:41:07 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 1.0000e-04 eta: 4:49:50 time: 0.2253 data_time: 0.0195 memory: 6108 grad_norm: 8.9792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1509 loss: 1.1509 2022/07/23 11:41:12 - mmengine - INFO - Epoch(train) [81][2120/3757] lr: 1.0000e-04 eta: 4:49:45 time: 0.2277 data_time: 0.0282 memory: 6108 grad_norm: 8.7266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/07/23 11:41:17 - mmengine - INFO - Epoch(train) [81][2140/3757] lr: 1.0000e-04 eta: 4:49:40 time: 0.2316 data_time: 0.0241 memory: 6108 grad_norm: 8.5494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3268 loss: 1.3268 2022/07/23 11:41:21 - mmengine - INFO - Epoch(train) [81][2160/3757] lr: 1.0000e-04 eta: 4:49:35 time: 0.2274 data_time: 0.0191 memory: 6108 grad_norm: 8.5271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/07/23 11:41:26 - mmengine - INFO - Epoch(train) [81][2180/3757] lr: 1.0000e-04 eta: 4:49:31 time: 0.2313 data_time: 0.0224 memory: 6108 grad_norm: 8.6031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0753 loss: 1.0753 2022/07/23 11:41:30 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 1.0000e-04 eta: 4:49:26 time: 0.2285 data_time: 0.0209 memory: 6108 grad_norm: 8.8598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/07/23 11:41:35 - mmengine - INFO - Epoch(train) [81][2220/3757] lr: 1.0000e-04 eta: 4:49:21 time: 0.2407 data_time: 0.0265 memory: 6108 grad_norm: 8.9865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/07/23 11:41:40 - mmengine - INFO - Epoch(train) [81][2240/3757] lr: 1.0000e-04 eta: 4:49:16 time: 0.2330 data_time: 0.0238 memory: 6108 grad_norm: 8.9956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0759 loss: 1.0759 2022/07/23 11:41:45 - mmengine - INFO - Epoch(train) [81][2260/3757] lr: 1.0000e-04 eta: 4:49:12 time: 0.2349 data_time: 0.0228 memory: 6108 grad_norm: 8.4091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1520 loss: 1.1520 2022/07/23 11:41:49 - mmengine - INFO - Epoch(train) [81][2280/3757] lr: 1.0000e-04 eta: 4:49:07 time: 0.2251 data_time: 0.0194 memory: 6108 grad_norm: 8.9734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3304 loss: 1.3304 2022/07/23 11:41:54 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 1.0000e-04 eta: 4:49:02 time: 0.2284 data_time: 0.0215 memory: 6108 grad_norm: 9.1153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/07/23 11:41:59 - mmengine - INFO - Epoch(train) [81][2320/3757] lr: 1.0000e-04 eta: 4:48:57 time: 0.2333 data_time: 0.0238 memory: 6108 grad_norm: 8.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/07/23 11:42:04 - mmengine - INFO - Epoch(train) [81][2340/3757] lr: 1.0000e-04 eta: 4:48:52 time: 0.2483 data_time: 0.0211 memory: 6108 grad_norm: 8.6712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/07/23 11:42:08 - mmengine - INFO - Epoch(train) [81][2360/3757] lr: 1.0000e-04 eta: 4:48:48 time: 0.2281 data_time: 0.0215 memory: 6108 grad_norm: 8.7519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2128 loss: 1.2128 2022/07/23 11:42:14 - mmengine - INFO - Epoch(train) [81][2380/3757] lr: 1.0000e-04 eta: 4:48:43 time: 0.2894 data_time: 0.0275 memory: 6108 grad_norm: 8.7480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/07/23 11:42:19 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 1.0000e-04 eta: 4:48:38 time: 0.2251 data_time: 0.0244 memory: 6108 grad_norm: 8.9290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3575 loss: 1.3575 2022/07/23 11:42:23 - mmengine - INFO - Epoch(train) [81][2420/3757] lr: 1.0000e-04 eta: 4:48:34 time: 0.2333 data_time: 0.0250 memory: 6108 grad_norm: 8.5531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2333 loss: 1.2333 2022/07/23 11:42:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:42:28 - mmengine - INFO - Epoch(train) [81][2440/3757] lr: 1.0000e-04 eta: 4:48:29 time: 0.2300 data_time: 0.0253 memory: 6108 grad_norm: 8.4674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1073 loss: 1.1073 2022/07/23 11:42:32 - mmengine - INFO - Epoch(train) [81][2460/3757] lr: 1.0000e-04 eta: 4:48:24 time: 0.2291 data_time: 0.0214 memory: 6108 grad_norm: 8.5071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9716 loss: 0.9716 2022/07/23 11:42:37 - mmengine - INFO - Epoch(train) [81][2480/3757] lr: 1.0000e-04 eta: 4:48:19 time: 0.2405 data_time: 0.0220 memory: 6108 grad_norm: 8.8195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1802 loss: 1.1802 2022/07/23 11:42:42 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 1.0000e-04 eta: 4:48:14 time: 0.2265 data_time: 0.0200 memory: 6108 grad_norm: 8.8952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4242 loss: 1.4242 2022/07/23 11:42:46 - mmengine - INFO - Epoch(train) [81][2520/3757] lr: 1.0000e-04 eta: 4:48:10 time: 0.2306 data_time: 0.0219 memory: 6108 grad_norm: 8.8580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/07/23 11:42:51 - mmengine - INFO - Epoch(train) [81][2540/3757] lr: 1.0000e-04 eta: 4:48:05 time: 0.2336 data_time: 0.0244 memory: 6108 grad_norm: 8.8394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1969 loss: 1.1969 2022/07/23 11:42:56 - mmengine - INFO - Epoch(train) [81][2560/3757] lr: 1.0000e-04 eta: 4:48:00 time: 0.2324 data_time: 0.0255 memory: 6108 grad_norm: 8.5414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/07/23 11:43:00 - mmengine - INFO - Epoch(train) [81][2580/3757] lr: 1.0000e-04 eta: 4:47:55 time: 0.2289 data_time: 0.0240 memory: 6108 grad_norm: 8.5157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/23 11:43:05 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 1.0000e-04 eta: 4:47:50 time: 0.2322 data_time: 0.0282 memory: 6108 grad_norm: 8.9334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/07/23 11:43:10 - mmengine - INFO - Epoch(train) [81][2620/3757] lr: 1.0000e-04 eta: 4:47:46 time: 0.2333 data_time: 0.0268 memory: 6108 grad_norm: 8.7605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1004 loss: 1.1004 2022/07/23 11:43:15 - mmengine - INFO - Epoch(train) [81][2640/3757] lr: 1.0000e-04 eta: 4:47:41 time: 0.2327 data_time: 0.0217 memory: 6108 grad_norm: 8.9549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4905 loss: 1.4905 2022/07/23 11:43:19 - mmengine - INFO - Epoch(train) [81][2660/3757] lr: 1.0000e-04 eta: 4:47:36 time: 0.2346 data_time: 0.0210 memory: 6108 grad_norm: 8.8783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/07/23 11:43:24 - mmengine - INFO - Epoch(train) [81][2680/3757] lr: 1.0000e-04 eta: 4:47:31 time: 0.2320 data_time: 0.0195 memory: 6108 grad_norm: 8.7869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/07/23 11:43:29 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 1.0000e-04 eta: 4:47:26 time: 0.2322 data_time: 0.0216 memory: 6108 grad_norm: 8.8959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4955 loss: 1.4955 2022/07/23 11:43:33 - mmengine - INFO - Epoch(train) [81][2720/3757] lr: 1.0000e-04 eta: 4:47:22 time: 0.2330 data_time: 0.0243 memory: 6108 grad_norm: 8.5065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/07/23 11:43:38 - mmengine - INFO - Epoch(train) [81][2740/3757] lr: 1.0000e-04 eta: 4:47:17 time: 0.2393 data_time: 0.0187 memory: 6108 grad_norm: 8.6524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1415 loss: 1.1415 2022/07/23 11:43:43 - mmengine - INFO - Epoch(train) [81][2760/3757] lr: 1.0000e-04 eta: 4:47:12 time: 0.2289 data_time: 0.0230 memory: 6108 grad_norm: 8.8466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4283 loss: 1.4283 2022/07/23 11:43:47 - mmengine - INFO - Epoch(train) [81][2780/3757] lr: 1.0000e-04 eta: 4:47:07 time: 0.2344 data_time: 0.0214 memory: 6108 grad_norm: 8.8996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/07/23 11:43:52 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 1.0000e-04 eta: 4:47:03 time: 0.2291 data_time: 0.0198 memory: 6108 grad_norm: 8.7997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3509 loss: 1.3509 2022/07/23 11:43:57 - mmengine - INFO - Epoch(train) [81][2820/3757] lr: 1.0000e-04 eta: 4:46:58 time: 0.2308 data_time: 0.0243 memory: 6108 grad_norm: 8.8123 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1852 loss: 1.1852 2022/07/23 11:44:01 - mmengine - INFO - Epoch(train) [81][2840/3757] lr: 1.0000e-04 eta: 4:46:53 time: 0.2284 data_time: 0.0260 memory: 6108 grad_norm: 8.7397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1143 loss: 1.1143 2022/07/23 11:44:06 - mmengine - INFO - Epoch(train) [81][2860/3757] lr: 1.0000e-04 eta: 4:46:48 time: 0.2367 data_time: 0.0245 memory: 6108 grad_norm: 8.7621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/07/23 11:44:11 - mmengine - INFO - Epoch(train) [81][2880/3757] lr: 1.0000e-04 eta: 4:46:43 time: 0.2263 data_time: 0.0260 memory: 6108 grad_norm: 8.8022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2950 loss: 1.2950 2022/07/23 11:44:15 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 1.0000e-04 eta: 4:46:39 time: 0.2326 data_time: 0.0243 memory: 6108 grad_norm: 8.7474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/07/23 11:44:20 - mmengine - INFO - Epoch(train) [81][2920/3757] lr: 1.0000e-04 eta: 4:46:34 time: 0.2279 data_time: 0.0211 memory: 6108 grad_norm: 9.0388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/07/23 11:44:25 - mmengine - INFO - Epoch(train) [81][2940/3757] lr: 1.0000e-04 eta: 4:46:29 time: 0.2414 data_time: 0.0250 memory: 6108 grad_norm: 8.7409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4323 loss: 1.4323 2022/07/23 11:44:29 - mmengine - INFO - Epoch(train) [81][2960/3757] lr: 1.0000e-04 eta: 4:46:24 time: 0.2274 data_time: 0.0251 memory: 6108 grad_norm: 8.7162 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0859 loss: 1.0859 2022/07/23 11:44:34 - mmengine - INFO - Epoch(train) [81][2980/3757] lr: 1.0000e-04 eta: 4:46:19 time: 0.2332 data_time: 0.0198 memory: 6108 grad_norm: 8.9358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1259 loss: 1.1259 2022/07/23 11:44:38 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 1.0000e-04 eta: 4:46:15 time: 0.2244 data_time: 0.0195 memory: 6108 grad_norm: 8.5374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1225 loss: 1.1225 2022/07/23 11:44:43 - mmengine - INFO - Epoch(train) [81][3020/3757] lr: 1.0000e-04 eta: 4:46:10 time: 0.2382 data_time: 0.0293 memory: 6108 grad_norm: 9.0023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1782 loss: 1.1782 2022/07/23 11:44:48 - mmengine - INFO - Epoch(train) [81][3040/3757] lr: 1.0000e-04 eta: 4:46:05 time: 0.2450 data_time: 0.0214 memory: 6108 grad_norm: 9.1741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5569 loss: 1.5569 2022/07/23 11:44:53 - mmengine - INFO - Epoch(train) [81][3060/3757] lr: 1.0000e-04 eta: 4:46:00 time: 0.2286 data_time: 0.0224 memory: 6108 grad_norm: 8.7161 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/07/23 11:44:57 - mmengine - INFO - Epoch(train) [81][3080/3757] lr: 1.0000e-04 eta: 4:45:55 time: 0.2317 data_time: 0.0241 memory: 6108 grad_norm: 8.9327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3782 loss: 1.3782 2022/07/23 11:45:02 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 1.0000e-04 eta: 4:45:51 time: 0.2266 data_time: 0.0219 memory: 6108 grad_norm: 8.6196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/07/23 11:45:07 - mmengine - INFO - Epoch(train) [81][3120/3757] lr: 1.0000e-04 eta: 4:45:46 time: 0.2318 data_time: 0.0204 memory: 6108 grad_norm: 9.0455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1641 loss: 1.1641 2022/07/23 11:45:11 - mmengine - INFO - Epoch(train) [81][3140/3757] lr: 1.0000e-04 eta: 4:45:41 time: 0.2308 data_time: 0.0258 memory: 6108 grad_norm: 8.7198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/07/23 11:45:16 - mmengine - INFO - Epoch(train) [81][3160/3757] lr: 1.0000e-04 eta: 4:45:36 time: 0.2327 data_time: 0.0254 memory: 6108 grad_norm: 8.9406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/07/23 11:45:21 - mmengine - INFO - Epoch(train) [81][3180/3757] lr: 1.0000e-04 eta: 4:45:32 time: 0.2423 data_time: 0.0228 memory: 6108 grad_norm: 8.5396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/07/23 11:45:26 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 1.0000e-04 eta: 4:45:27 time: 0.2365 data_time: 0.0283 memory: 6108 grad_norm: 8.8305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8657 loss: 0.8657 2022/07/23 11:45:30 - mmengine - INFO - Epoch(train) [81][3220/3757] lr: 1.0000e-04 eta: 4:45:22 time: 0.2259 data_time: 0.0251 memory: 6108 grad_norm: 8.3865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/07/23 11:45:35 - mmengine - INFO - Epoch(train) [81][3240/3757] lr: 1.0000e-04 eta: 4:45:17 time: 0.2350 data_time: 0.0247 memory: 6108 grad_norm: 8.7049 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/07/23 11:45:40 - mmengine - INFO - Epoch(train) [81][3260/3757] lr: 1.0000e-04 eta: 4:45:12 time: 0.2463 data_time: 0.0274 memory: 6108 grad_norm: 8.8313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1598 loss: 1.1598 2022/07/23 11:45:45 - mmengine - INFO - Epoch(train) [81][3280/3757] lr: 1.0000e-04 eta: 4:45:08 time: 0.2341 data_time: 0.0190 memory: 6108 grad_norm: 8.9312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/07/23 11:45:49 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 1.0000e-04 eta: 4:45:03 time: 0.2283 data_time: 0.0219 memory: 6108 grad_norm: 8.6603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1504 loss: 1.1504 2022/07/23 11:45:54 - mmengine - INFO - Epoch(train) [81][3320/3757] lr: 1.0000e-04 eta: 4:44:58 time: 0.2336 data_time: 0.0281 memory: 6108 grad_norm: 9.0258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/07/23 11:45:59 - mmengine - INFO - Epoch(train) [81][3340/3757] lr: 1.0000e-04 eta: 4:44:53 time: 0.2310 data_time: 0.0227 memory: 6108 grad_norm: 8.7584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/07/23 11:46:03 - mmengine - INFO - Epoch(train) [81][3360/3757] lr: 1.0000e-04 eta: 4:44:48 time: 0.2298 data_time: 0.0226 memory: 6108 grad_norm: 8.6886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1421 loss: 1.1421 2022/07/23 11:46:08 - mmengine - INFO - Epoch(train) [81][3380/3757] lr: 1.0000e-04 eta: 4:44:44 time: 0.2404 data_time: 0.0260 memory: 6108 grad_norm: 8.7602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2974 loss: 1.2974 2022/07/23 11:46:13 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 1.0000e-04 eta: 4:44:39 time: 0.2323 data_time: 0.0273 memory: 6108 grad_norm: 8.4752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2355 loss: 1.2355 2022/07/23 11:46:17 - mmengine - INFO - Epoch(train) [81][3420/3757] lr: 1.0000e-04 eta: 4:44:34 time: 0.2365 data_time: 0.0195 memory: 6108 grad_norm: 8.7696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0781 loss: 1.0781 2022/07/23 11:46:22 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:46:22 - mmengine - INFO - Epoch(train) [81][3440/3757] lr: 1.0000e-04 eta: 4:44:29 time: 0.2335 data_time: 0.0276 memory: 6108 grad_norm: 8.7378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/07/23 11:46:27 - mmengine - INFO - Epoch(train) [81][3460/3757] lr: 1.0000e-04 eta: 4:44:25 time: 0.2365 data_time: 0.0275 memory: 6108 grad_norm: 8.8408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0758 loss: 1.0758 2022/07/23 11:46:32 - mmengine - INFO - Epoch(train) [81][3480/3757] lr: 1.0000e-04 eta: 4:44:20 time: 0.2514 data_time: 0.0206 memory: 6108 grad_norm: 9.0150 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/07/23 11:46:37 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 1.0000e-04 eta: 4:44:15 time: 0.2443 data_time: 0.0214 memory: 6108 grad_norm: 8.7790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3484 loss: 1.3484 2022/07/23 11:46:42 - mmengine - INFO - Epoch(train) [81][3520/3757] lr: 1.0000e-04 eta: 4:44:10 time: 0.2339 data_time: 0.0262 memory: 6108 grad_norm: 8.7427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1561 loss: 1.1561 2022/07/23 11:46:46 - mmengine - INFO - Epoch(train) [81][3540/3757] lr: 1.0000e-04 eta: 4:44:06 time: 0.2272 data_time: 0.0239 memory: 6108 grad_norm: 9.0346 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3971 loss: 1.3971 2022/07/23 11:46:51 - mmengine - INFO - Epoch(train) [81][3560/3757] lr: 1.0000e-04 eta: 4:44:01 time: 0.2264 data_time: 0.0217 memory: 6108 grad_norm: 9.0345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/07/23 11:46:55 - mmengine - INFO - Epoch(train) [81][3580/3757] lr: 1.0000e-04 eta: 4:43:56 time: 0.2373 data_time: 0.0232 memory: 6108 grad_norm: 8.4615 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2390 loss: 1.2390 2022/07/23 11:47:00 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 1.0000e-04 eta: 4:43:51 time: 0.2410 data_time: 0.0231 memory: 6108 grad_norm: 9.1459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1106 loss: 1.1106 2022/07/23 11:47:05 - mmengine - INFO - Epoch(train) [81][3620/3757] lr: 1.0000e-04 eta: 4:43:46 time: 0.2318 data_time: 0.0279 memory: 6108 grad_norm: 8.7949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1016 loss: 1.1016 2022/07/23 11:47:10 - mmengine - INFO - Epoch(train) [81][3640/3757] lr: 1.0000e-04 eta: 4:43:42 time: 0.2311 data_time: 0.0266 memory: 6108 grad_norm: 8.5257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0835 loss: 1.0835 2022/07/23 11:47:14 - mmengine - INFO - Epoch(train) [81][3660/3757] lr: 1.0000e-04 eta: 4:43:37 time: 0.2401 data_time: 0.0323 memory: 6108 grad_norm: 8.9688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3129 loss: 1.3129 2022/07/23 11:47:19 - mmengine - INFO - Epoch(train) [81][3680/3757] lr: 1.0000e-04 eta: 4:43:32 time: 0.2308 data_time: 0.0213 memory: 6108 grad_norm: 8.9861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1987 loss: 1.1987 2022/07/23 11:47:24 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 1.0000e-04 eta: 4:43:27 time: 0.2323 data_time: 0.0228 memory: 6108 grad_norm: 9.0147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0595 loss: 1.0595 2022/07/23 11:47:29 - mmengine - INFO - Epoch(train) [81][3720/3757] lr: 1.0000e-04 eta: 4:43:23 time: 0.2342 data_time: 0.0228 memory: 6108 grad_norm: 8.7035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2804 loss: 1.2804 2022/07/23 11:47:34 - mmengine - INFO - Epoch(train) [81][3740/3757] lr: 1.0000e-04 eta: 4:43:18 time: 0.2505 data_time: 0.0357 memory: 6108 grad_norm: 8.3520 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0409 loss: 1.0409 2022/07/23 11:47:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:47:37 - mmengine - INFO - Epoch(train) [81][3757/3757] lr: 1.0000e-04 eta: 4:43:18 time: 0.2114 data_time: 0.0254 memory: 6108 grad_norm: 8.6563 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0373 loss: 1.0373 2022/07/23 11:47:42 - mmengine - INFO - Epoch(val) [81][20/310] eta: 0:01:20 time: 0.2766 data_time: 0.1997 memory: 1428 2022/07/23 11:47:46 - mmengine - INFO - Epoch(val) [81][40/310] eta: 0:00:50 time: 0.1873 data_time: 0.1113 memory: 1428 2022/07/23 11:47:50 - mmengine - INFO - Epoch(val) [81][60/310] eta: 0:00:53 time: 0.2136 data_time: 0.1391 memory: 1428 2022/07/23 11:47:54 - mmengine - INFO - Epoch(val) [81][80/310] eta: 0:00:47 time: 0.2045 data_time: 0.1303 memory: 1428 2022/07/23 11:47:59 - mmengine - INFO - Epoch(val) [81][100/310] eta: 0:00:45 time: 0.2180 data_time: 0.1409 memory: 1428 2022/07/23 11:48:03 - mmengine - INFO - Epoch(val) [81][120/310] eta: 0:00:37 time: 0.1997 data_time: 0.1213 memory: 1428 2022/07/23 11:48:08 - mmengine - INFO - Epoch(val) [81][140/310] eta: 0:00:43 time: 0.2580 data_time: 0.1854 memory: 1428 2022/07/23 11:48:12 - mmengine - INFO - Epoch(val) [81][160/310] eta: 0:00:27 time: 0.1850 data_time: 0.1076 memory: 1428 2022/07/23 11:48:16 - mmengine - INFO - Epoch(val) [81][180/310] eta: 0:00:30 time: 0.2374 data_time: 0.1506 memory: 1428 2022/07/23 11:48:20 - mmengine - INFO - Epoch(val) [81][200/310] eta: 0:00:20 time: 0.1823 data_time: 0.1085 memory: 1428 2022/07/23 11:48:25 - mmengine - INFO - Epoch(val) [81][220/310] eta: 0:00:23 time: 0.2614 data_time: 0.1849 memory: 1428 2022/07/23 11:48:29 - mmengine - INFO - Epoch(val) [81][240/310] eta: 0:00:13 time: 0.1862 data_time: 0.1120 memory: 1428 2022/07/23 11:48:34 - mmengine - INFO - Epoch(val) [81][260/310] eta: 0:00:13 time: 0.2637 data_time: 0.1892 memory: 1428 2022/07/23 11:48:38 - mmengine - INFO - Epoch(val) [81][280/310] eta: 0:00:05 time: 0.1874 data_time: 0.1125 memory: 1428 2022/07/23 11:48:42 - mmengine - INFO - Epoch(val) [81][300/310] eta: 0:00:02 time: 0.2068 data_time: 0.1358 memory: 1428 2022/07/23 11:48:46 - mmengine - INFO - Epoch(val) [81][310/310] acc/top1: 0.6630 acc/top5: 0.8645 acc/mean1: 0.6629 2022/07/23 11:48:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_73.pth is removed 2022/07/23 11:48:48 - mmengine - INFO - The best checkpoint with 0.6630 acc/top1 at 82 epoch is saved to best_acc/top1_epoch_82.pth. 2022/07/23 11:48:54 - mmengine - INFO - Epoch(train) [82][20/3757] lr: 1.0000e-04 eta: 4:43:08 time: 0.2963 data_time: 0.0993 memory: 6108 grad_norm: 9.1204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2011 loss: 1.2011 2022/07/23 11:48:59 - mmengine - INFO - Epoch(train) [82][40/3757] lr: 1.0000e-04 eta: 4:43:04 time: 0.2313 data_time: 0.0187 memory: 6108 grad_norm: 8.4651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9141 loss: 0.9141 2022/07/23 11:49:04 - mmengine - INFO - Epoch(train) [82][60/3757] lr: 1.0000e-04 eta: 4:42:59 time: 0.2462 data_time: 0.0226 memory: 6108 grad_norm: 8.9072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1855 loss: 1.1855 2022/07/23 11:49:08 - mmengine - INFO - Epoch(train) [82][80/3757] lr: 1.0000e-04 eta: 4:42:54 time: 0.2334 data_time: 0.0199 memory: 6108 grad_norm: 8.6918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0096 loss: 1.0096 2022/07/23 11:49:13 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 1.0000e-04 eta: 4:42:49 time: 0.2323 data_time: 0.0235 memory: 6108 grad_norm: 8.8764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2557 loss: 1.2557 2022/07/23 11:49:18 - mmengine - INFO - Epoch(train) [82][120/3757] lr: 1.0000e-04 eta: 4:42:45 time: 0.2359 data_time: 0.0277 memory: 6108 grad_norm: 8.9474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/07/23 11:49:22 - mmengine - INFO - Epoch(train) [82][140/3757] lr: 1.0000e-04 eta: 4:42:40 time: 0.2296 data_time: 0.0192 memory: 6108 grad_norm: 8.5477 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2056 loss: 1.2056 2022/07/23 11:49:27 - mmengine - INFO - Epoch(train) [82][160/3757] lr: 1.0000e-04 eta: 4:42:35 time: 0.2370 data_time: 0.0236 memory: 6108 grad_norm: 8.7567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/07/23 11:49:32 - mmengine - INFO - Epoch(train) [82][180/3757] lr: 1.0000e-04 eta: 4:42:30 time: 0.2315 data_time: 0.0224 memory: 6108 grad_norm: 8.7634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/07/23 11:49:36 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 1.0000e-04 eta: 4:42:25 time: 0.2294 data_time: 0.0193 memory: 6108 grad_norm: 8.6748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2985 loss: 1.2985 2022/07/23 11:49:41 - mmengine - INFO - Epoch(train) [82][220/3757] lr: 1.0000e-04 eta: 4:42:21 time: 0.2316 data_time: 0.0200 memory: 6108 grad_norm: 8.8624 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2496 loss: 1.2496 2022/07/23 11:49:46 - mmengine - INFO - Epoch(train) [82][240/3757] lr: 1.0000e-04 eta: 4:42:16 time: 0.2370 data_time: 0.0312 memory: 6108 grad_norm: 8.7390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/07/23 11:49:50 - mmengine - INFO - Epoch(train) [82][260/3757] lr: 1.0000e-04 eta: 4:42:11 time: 0.2308 data_time: 0.0238 memory: 6108 grad_norm: 8.9565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/07/23 11:49:55 - mmengine - INFO - Epoch(train) [82][280/3757] lr: 1.0000e-04 eta: 4:42:06 time: 0.2349 data_time: 0.0248 memory: 6108 grad_norm: 8.6728 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2689 loss: 1.2689 2022/07/23 11:50:00 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 1.0000e-04 eta: 4:42:01 time: 0.2333 data_time: 0.0240 memory: 6108 grad_norm: 8.8029 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5391 loss: 1.5391 2022/07/23 11:50:05 - mmengine - INFO - Epoch(train) [82][320/3757] lr: 1.0000e-04 eta: 4:41:57 time: 0.2298 data_time: 0.0209 memory: 6108 grad_norm: 8.6653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1980 loss: 1.1980 2022/07/23 11:50:09 - mmengine - INFO - Epoch(train) [82][340/3757] lr: 1.0000e-04 eta: 4:41:52 time: 0.2327 data_time: 0.0214 memory: 6108 grad_norm: 8.7014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0850 loss: 1.0850 2022/07/23 11:50:14 - mmengine - INFO - Epoch(train) [82][360/3757] lr: 1.0000e-04 eta: 4:41:47 time: 0.2421 data_time: 0.0224 memory: 6108 grad_norm: 9.1522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4335 loss: 1.4335 2022/07/23 11:50:19 - mmengine - INFO - Epoch(train) [82][380/3757] lr: 1.0000e-04 eta: 4:41:42 time: 0.2271 data_time: 0.0201 memory: 6108 grad_norm: 8.9855 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5015 loss: 1.5015 2022/07/23 11:50:23 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 1.0000e-04 eta: 4:41:38 time: 0.2314 data_time: 0.0236 memory: 6108 grad_norm: 8.7484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2638 loss: 1.2638 2022/07/23 11:50:28 - mmengine - INFO - Epoch(train) [82][420/3757] lr: 1.0000e-04 eta: 4:41:33 time: 0.2403 data_time: 0.0210 memory: 6108 grad_norm: 8.9892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1823 loss: 1.1823 2022/07/23 11:50:33 - mmengine - INFO - Epoch(train) [82][440/3757] lr: 1.0000e-04 eta: 4:41:28 time: 0.2324 data_time: 0.0248 memory: 6108 grad_norm: 8.6699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/07/23 11:50:37 - mmengine - INFO - Epoch(train) [82][460/3757] lr: 1.0000e-04 eta: 4:41:23 time: 0.2295 data_time: 0.0201 memory: 6108 grad_norm: 8.8047 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3665 loss: 1.3665 2022/07/23 11:50:42 - mmengine - INFO - Epoch(train) [82][480/3757] lr: 1.0000e-04 eta: 4:41:18 time: 0.2266 data_time: 0.0229 memory: 6108 grad_norm: 8.6791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1648 loss: 1.1648 2022/07/23 11:50:47 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 1.0000e-04 eta: 4:41:14 time: 0.2575 data_time: 0.0505 memory: 6108 grad_norm: 8.6074 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/07/23 11:50:52 - mmengine - INFO - Epoch(train) [82][520/3757] lr: 1.0000e-04 eta: 4:41:09 time: 0.2217 data_time: 0.0160 memory: 6108 grad_norm: 8.7892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/07/23 11:50:56 - mmengine - INFO - Epoch(train) [82][540/3757] lr: 1.0000e-04 eta: 4:41:04 time: 0.2334 data_time: 0.0332 memory: 6108 grad_norm: 9.0867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1253 loss: 1.1253 2022/07/23 11:51:01 - mmengine - INFO - Epoch(train) [82][560/3757] lr: 1.0000e-04 eta: 4:40:59 time: 0.2320 data_time: 0.0236 memory: 6108 grad_norm: 8.8889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2392 loss: 1.2392 2022/07/23 11:51:06 - mmengine - INFO - Epoch(train) [82][580/3757] lr: 1.0000e-04 eta: 4:40:54 time: 0.2336 data_time: 0.0246 memory: 6108 grad_norm: 8.9771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0938 loss: 1.0938 2022/07/23 11:51:10 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 1.0000e-04 eta: 4:40:50 time: 0.2329 data_time: 0.0245 memory: 6108 grad_norm: 8.7104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2044 loss: 1.2044 2022/07/23 11:51:15 - mmengine - INFO - Epoch(train) [82][620/3757] lr: 1.0000e-04 eta: 4:40:45 time: 0.2297 data_time: 0.0201 memory: 6108 grad_norm: 9.0332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/07/23 11:51:20 - mmengine - INFO - Epoch(train) [82][640/3757] lr: 1.0000e-04 eta: 4:40:40 time: 0.2578 data_time: 0.0502 memory: 6108 grad_norm: 8.8166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5568 loss: 1.5568 2022/07/23 11:51:25 - mmengine - INFO - Epoch(train) [82][660/3757] lr: 1.0000e-04 eta: 4:40:35 time: 0.2338 data_time: 0.0202 memory: 6108 grad_norm: 8.9235 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3827 loss: 1.3827 2022/07/23 11:51:30 - mmengine - INFO - Epoch(train) [82][680/3757] lr: 1.0000e-04 eta: 4:40:31 time: 0.2296 data_time: 0.0212 memory: 6108 grad_norm: 8.9620 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2046 loss: 1.2046 2022/07/23 11:51:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:51:34 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 1.0000e-04 eta: 4:40:26 time: 0.2365 data_time: 0.0261 memory: 6108 grad_norm: 8.8843 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1687 loss: 1.1687 2022/07/23 11:51:39 - mmengine - INFO - Epoch(train) [82][720/3757] lr: 1.0000e-04 eta: 4:40:21 time: 0.2346 data_time: 0.0254 memory: 6108 grad_norm: 8.6901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2427 loss: 1.2427 2022/07/23 11:51:44 - mmengine - INFO - Epoch(train) [82][740/3757] lr: 1.0000e-04 eta: 4:40:16 time: 0.2512 data_time: 0.0234 memory: 6108 grad_norm: 8.6133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1977 loss: 1.1977 2022/07/23 11:51:49 - mmengine - INFO - Epoch(train) [82][760/3757] lr: 1.0000e-04 eta: 4:40:12 time: 0.2258 data_time: 0.0240 memory: 6108 grad_norm: 8.8397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/07/23 11:51:53 - mmengine - INFO - Epoch(train) [82][780/3757] lr: 1.0000e-04 eta: 4:40:07 time: 0.2323 data_time: 0.0248 memory: 6108 grad_norm: 8.9002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2997 loss: 1.2997 2022/07/23 11:51:58 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 1.0000e-04 eta: 4:40:02 time: 0.2365 data_time: 0.0191 memory: 6108 grad_norm: 8.6514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/07/23 11:52:03 - mmengine - INFO - Epoch(train) [82][820/3757] lr: 1.0000e-04 eta: 4:39:57 time: 0.2322 data_time: 0.0341 memory: 6108 grad_norm: 8.8291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/07/23 11:52:07 - mmengine - INFO - Epoch(train) [82][840/3757] lr: 1.0000e-04 eta: 4:39:52 time: 0.2354 data_time: 0.0231 memory: 6108 grad_norm: 8.6091 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2196 loss: 1.2196 2022/07/23 11:52:12 - mmengine - INFO - Epoch(train) [82][860/3757] lr: 1.0000e-04 eta: 4:39:48 time: 0.2283 data_time: 0.0291 memory: 6108 grad_norm: 8.5867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/07/23 11:52:17 - mmengine - INFO - Epoch(train) [82][880/3757] lr: 1.0000e-04 eta: 4:39:43 time: 0.2304 data_time: 0.0215 memory: 6108 grad_norm: 9.0055 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0383 loss: 1.0383 2022/07/23 11:52:21 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 1.0000e-04 eta: 4:39:38 time: 0.2389 data_time: 0.0301 memory: 6108 grad_norm: 8.8618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0081 loss: 1.0081 2022/07/23 11:52:26 - mmengine - INFO - Epoch(train) [82][920/3757] lr: 1.0000e-04 eta: 4:39:33 time: 0.2429 data_time: 0.0185 memory: 6108 grad_norm: 8.8998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/07/23 11:52:31 - mmengine - INFO - Epoch(train) [82][940/3757] lr: 1.0000e-04 eta: 4:39:29 time: 0.2351 data_time: 0.0226 memory: 6108 grad_norm: 8.5958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/07/23 11:52:36 - mmengine - INFO - Epoch(train) [82][960/3757] lr: 1.0000e-04 eta: 4:39:24 time: 0.2376 data_time: 0.0219 memory: 6108 grad_norm: 8.7256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2625 loss: 1.2625 2022/07/23 11:52:41 - mmengine - INFO - Epoch(train) [82][980/3757] lr: 1.0000e-04 eta: 4:39:19 time: 0.2344 data_time: 0.0331 memory: 6108 grad_norm: 9.0249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0908 loss: 1.0908 2022/07/23 11:52:46 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 1.0000e-04 eta: 4:39:14 time: 0.2515 data_time: 0.0184 memory: 6108 grad_norm: 8.8641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/07/23 11:52:50 - mmengine - INFO - Epoch(train) [82][1020/3757] lr: 1.0000e-04 eta: 4:39:10 time: 0.2315 data_time: 0.0266 memory: 6108 grad_norm: 8.8780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3445 loss: 1.3445 2022/07/23 11:52:55 - mmengine - INFO - Epoch(train) [82][1040/3757] lr: 1.0000e-04 eta: 4:39:05 time: 0.2354 data_time: 0.0258 memory: 6108 grad_norm: 8.8200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0229 loss: 1.0229 2022/07/23 11:53:00 - mmengine - INFO - Epoch(train) [82][1060/3757] lr: 1.0000e-04 eta: 4:39:00 time: 0.2332 data_time: 0.0285 memory: 6108 grad_norm: 8.7646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2529 loss: 1.2529 2022/07/23 11:53:04 - mmengine - INFO - Epoch(train) [82][1080/3757] lr: 1.0000e-04 eta: 4:38:55 time: 0.2298 data_time: 0.0288 memory: 6108 grad_norm: 8.9519 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/07/23 11:53:09 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 1.0000e-04 eta: 4:38:50 time: 0.2330 data_time: 0.0229 memory: 6108 grad_norm: 9.1100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1407 loss: 1.1407 2022/07/23 11:53:14 - mmengine - INFO - Epoch(train) [82][1120/3757] lr: 1.0000e-04 eta: 4:38:46 time: 0.2326 data_time: 0.0233 memory: 6108 grad_norm: 9.1007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3204 loss: 1.3204 2022/07/23 11:53:19 - mmengine - INFO - Epoch(train) [82][1140/3757] lr: 1.0000e-04 eta: 4:38:41 time: 0.2422 data_time: 0.0255 memory: 6108 grad_norm: 9.3138 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2415 loss: 1.2415 2022/07/23 11:53:23 - mmengine - INFO - Epoch(train) [82][1160/3757] lr: 1.0000e-04 eta: 4:38:36 time: 0.2323 data_time: 0.0200 memory: 6108 grad_norm: 8.6491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1358 loss: 1.1358 2022/07/23 11:53:28 - mmengine - INFO - Epoch(train) [82][1180/3757] lr: 1.0000e-04 eta: 4:38:31 time: 0.2298 data_time: 0.0221 memory: 6108 grad_norm: 8.7301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0320 loss: 1.0320 2022/07/23 11:53:33 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 1.0000e-04 eta: 4:38:27 time: 0.2394 data_time: 0.0264 memory: 6108 grad_norm: 9.0686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2809 loss: 1.2809 2022/07/23 11:53:37 - mmengine - INFO - Epoch(train) [82][1220/3757] lr: 1.0000e-04 eta: 4:38:22 time: 0.2340 data_time: 0.0293 memory: 6108 grad_norm: 8.7753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/07/23 11:53:42 - mmengine - INFO - Epoch(train) [82][1240/3757] lr: 1.0000e-04 eta: 4:38:17 time: 0.2304 data_time: 0.0198 memory: 6108 grad_norm: 9.0445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/07/23 11:53:47 - mmengine - INFO - Epoch(train) [82][1260/3757] lr: 1.0000e-04 eta: 4:38:12 time: 0.2306 data_time: 0.0246 memory: 6108 grad_norm: 8.8943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0689 loss: 1.0689 2022/07/23 11:53:51 - mmengine - INFO - Epoch(train) [82][1280/3757] lr: 1.0000e-04 eta: 4:38:07 time: 0.2315 data_time: 0.0306 memory: 6108 grad_norm: 8.8219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3156 loss: 1.3156 2022/07/23 11:53:56 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 1.0000e-04 eta: 4:38:03 time: 0.2303 data_time: 0.0208 memory: 6108 grad_norm: 8.8697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0914 loss: 1.0914 2022/07/23 11:54:01 - mmengine - INFO - Epoch(train) [82][1320/3757] lr: 1.0000e-04 eta: 4:37:58 time: 0.2324 data_time: 0.0272 memory: 6108 grad_norm: 9.0358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3897 loss: 1.3897 2022/07/23 11:54:05 - mmengine - INFO - Epoch(train) [82][1340/3757] lr: 1.0000e-04 eta: 4:37:53 time: 0.2340 data_time: 0.0214 memory: 6108 grad_norm: 8.6761 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2910 loss: 1.2910 2022/07/23 11:54:10 - mmengine - INFO - Epoch(train) [82][1360/3757] lr: 1.0000e-04 eta: 4:37:48 time: 0.2316 data_time: 0.0216 memory: 6108 grad_norm: 8.9577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2174 loss: 1.2174 2022/07/23 11:54:15 - mmengine - INFO - Epoch(train) [82][1380/3757] lr: 1.0000e-04 eta: 4:37:43 time: 0.2377 data_time: 0.0274 memory: 6108 grad_norm: 9.1962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2464 loss: 1.2464 2022/07/23 11:54:19 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 1.0000e-04 eta: 4:37:39 time: 0.2310 data_time: 0.0253 memory: 6108 grad_norm: 8.4698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2868 loss: 1.2868 2022/07/23 11:54:24 - mmengine - INFO - Epoch(train) [82][1420/3757] lr: 1.0000e-04 eta: 4:37:34 time: 0.2305 data_time: 0.0207 memory: 6108 grad_norm: 9.0068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/07/23 11:54:29 - mmengine - INFO - Epoch(train) [82][1440/3757] lr: 1.0000e-04 eta: 4:37:29 time: 0.2309 data_time: 0.0228 memory: 6108 grad_norm: 8.6819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/07/23 11:54:33 - mmengine - INFO - Epoch(train) [82][1460/3757] lr: 1.0000e-04 eta: 4:37:24 time: 0.2287 data_time: 0.0193 memory: 6108 grad_norm: 8.9629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9978 loss: 0.9978 2022/07/23 11:54:38 - mmengine - INFO - Epoch(train) [82][1480/3757] lr: 1.0000e-04 eta: 4:37:20 time: 0.2447 data_time: 0.0224 memory: 6108 grad_norm: 8.8663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/07/23 11:54:43 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 1.0000e-04 eta: 4:37:15 time: 0.2293 data_time: 0.0243 memory: 6108 grad_norm: 8.9082 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/07/23 11:54:47 - mmengine - INFO - Epoch(train) [82][1520/3757] lr: 1.0000e-04 eta: 4:37:10 time: 0.2308 data_time: 0.0202 memory: 6108 grad_norm: 9.0253 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/07/23 11:54:52 - mmengine - INFO - Epoch(train) [82][1540/3757] lr: 1.0000e-04 eta: 4:37:05 time: 0.2310 data_time: 0.0189 memory: 6108 grad_norm: 8.9550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9853 loss: 0.9853 2022/07/23 11:54:57 - mmengine - INFO - Epoch(train) [82][1560/3757] lr: 1.0000e-04 eta: 4:37:00 time: 0.2400 data_time: 0.0260 memory: 6108 grad_norm: 8.4924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8850 loss: 0.8850 2022/07/23 11:55:02 - mmengine - INFO - Epoch(train) [82][1580/3757] lr: 1.0000e-04 eta: 4:36:56 time: 0.2367 data_time: 0.0192 memory: 6108 grad_norm: 8.8451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/07/23 11:55:06 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 1.0000e-04 eta: 4:36:51 time: 0.2305 data_time: 0.0203 memory: 6108 grad_norm: 9.1689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4085 loss: 1.4085 2022/07/23 11:55:11 - mmengine - INFO - Epoch(train) [82][1620/3757] lr: 1.0000e-04 eta: 4:36:46 time: 0.2287 data_time: 0.0204 memory: 6108 grad_norm: 8.7019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3810 loss: 1.3810 2022/07/23 11:55:16 - mmengine - INFO - Epoch(train) [82][1640/3757] lr: 1.0000e-04 eta: 4:36:41 time: 0.2455 data_time: 0.0192 memory: 6108 grad_norm: 8.8891 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/07/23 11:55:21 - mmengine - INFO - Epoch(train) [82][1660/3757] lr: 1.0000e-04 eta: 4:36:37 time: 0.2309 data_time: 0.0226 memory: 6108 grad_norm: 8.8873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0636 loss: 1.0636 2022/07/23 11:55:25 - mmengine - INFO - Epoch(train) [82][1680/3757] lr: 1.0000e-04 eta: 4:36:32 time: 0.2352 data_time: 0.0277 memory: 6108 grad_norm: 8.6044 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9953 loss: 0.9953 2022/07/23 11:55:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:55:30 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 1.0000e-04 eta: 4:36:27 time: 0.2300 data_time: 0.0250 memory: 6108 grad_norm: 9.0287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/07/23 11:55:35 - mmengine - INFO - Epoch(train) [82][1720/3757] lr: 1.0000e-04 eta: 4:36:22 time: 0.2417 data_time: 0.0295 memory: 6108 grad_norm: 8.3663 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1694 loss: 1.1694 2022/07/23 11:55:39 - mmengine - INFO - Epoch(train) [82][1740/3757] lr: 1.0000e-04 eta: 4:36:17 time: 0.2290 data_time: 0.0277 memory: 6108 grad_norm: 9.0484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2242 loss: 1.2242 2022/07/23 11:55:44 - mmengine - INFO - Epoch(train) [82][1760/3757] lr: 1.0000e-04 eta: 4:36:13 time: 0.2293 data_time: 0.0281 memory: 6108 grad_norm: 9.4752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1558 loss: 1.1558 2022/07/23 11:55:49 - mmengine - INFO - Epoch(train) [82][1780/3757] lr: 1.0000e-04 eta: 4:36:08 time: 0.2291 data_time: 0.0213 memory: 6108 grad_norm: 9.0608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2677 loss: 1.2677 2022/07/23 11:55:53 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 1.0000e-04 eta: 4:36:03 time: 0.2354 data_time: 0.0252 memory: 6108 grad_norm: 9.0178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3646 loss: 1.3646 2022/07/23 11:55:58 - mmengine - INFO - Epoch(train) [82][1820/3757] lr: 1.0000e-04 eta: 4:35:58 time: 0.2346 data_time: 0.0232 memory: 6108 grad_norm: 8.3598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/07/23 11:56:03 - mmengine - INFO - Epoch(train) [82][1840/3757] lr: 1.0000e-04 eta: 4:35:53 time: 0.2317 data_time: 0.0198 memory: 6108 grad_norm: 8.8841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/07/23 11:56:08 - mmengine - INFO - Epoch(train) [82][1860/3757] lr: 1.0000e-04 eta: 4:35:49 time: 0.2413 data_time: 0.0193 memory: 6108 grad_norm: 8.6160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0025 loss: 1.0025 2022/07/23 11:56:12 - mmengine - INFO - Epoch(train) [82][1880/3757] lr: 1.0000e-04 eta: 4:35:44 time: 0.2244 data_time: 0.0271 memory: 6108 grad_norm: 8.8038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/07/23 11:56:17 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 1.0000e-04 eta: 4:35:39 time: 0.2288 data_time: 0.0197 memory: 6108 grad_norm: 8.8013 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2065 loss: 1.2065 2022/07/23 11:56:22 - mmengine - INFO - Epoch(train) [82][1920/3757] lr: 1.0000e-04 eta: 4:35:34 time: 0.2376 data_time: 0.0310 memory: 6108 grad_norm: 8.8057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/23 11:56:26 - mmengine - INFO - Epoch(train) [82][1940/3757] lr: 1.0000e-04 eta: 4:35:30 time: 0.2436 data_time: 0.0257 memory: 6108 grad_norm: 8.7212 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3342 loss: 1.3342 2022/07/23 11:56:31 - mmengine - INFO - Epoch(train) [82][1960/3757] lr: 1.0000e-04 eta: 4:35:25 time: 0.2286 data_time: 0.0213 memory: 6108 grad_norm: 8.8218 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2313 loss: 1.2313 2022/07/23 11:56:36 - mmengine - INFO - Epoch(train) [82][1980/3757] lr: 1.0000e-04 eta: 4:35:20 time: 0.2293 data_time: 0.0239 memory: 6108 grad_norm: 8.4435 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2866 loss: 1.2866 2022/07/23 11:56:40 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 1.0000e-04 eta: 4:35:15 time: 0.2357 data_time: 0.0276 memory: 6108 grad_norm: 8.5648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9812 loss: 0.9812 2022/07/23 11:56:45 - mmengine - INFO - Epoch(train) [82][2020/3757] lr: 1.0000e-04 eta: 4:35:10 time: 0.2333 data_time: 0.0240 memory: 6108 grad_norm: 8.9991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2828 loss: 1.2828 2022/07/23 11:56:50 - mmengine - INFO - Epoch(train) [82][2040/3757] lr: 1.0000e-04 eta: 4:35:06 time: 0.2293 data_time: 0.0196 memory: 6108 grad_norm: 8.5878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2601 loss: 1.2601 2022/07/23 11:56:54 - mmengine - INFO - Epoch(train) [82][2060/3757] lr: 1.0000e-04 eta: 4:35:01 time: 0.2312 data_time: 0.0213 memory: 6108 grad_norm: 8.8337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0031 loss: 1.0031 2022/07/23 11:56:59 - mmengine - INFO - Epoch(train) [82][2080/3757] lr: 1.0000e-04 eta: 4:34:56 time: 0.2306 data_time: 0.0244 memory: 6108 grad_norm: 9.0935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9727 loss: 0.9727 2022/07/23 11:57:04 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 1.0000e-04 eta: 4:34:51 time: 0.2365 data_time: 0.0213 memory: 6108 grad_norm: 8.6681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0473 loss: 1.0473 2022/07/23 11:57:08 - mmengine - INFO - Epoch(train) [82][2120/3757] lr: 1.0000e-04 eta: 4:34:47 time: 0.2352 data_time: 0.0229 memory: 6108 grad_norm: 9.1696 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9474 loss: 0.9474 2022/07/23 11:57:13 - mmengine - INFO - Epoch(train) [82][2140/3757] lr: 1.0000e-04 eta: 4:34:42 time: 0.2277 data_time: 0.0189 memory: 6108 grad_norm: 8.7246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/07/23 11:57:18 - mmengine - INFO - Epoch(train) [82][2160/3757] lr: 1.0000e-04 eta: 4:34:37 time: 0.2343 data_time: 0.0224 memory: 6108 grad_norm: 8.6306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9230 loss: 0.9230 2022/07/23 11:57:23 - mmengine - INFO - Epoch(train) [82][2180/3757] lr: 1.0000e-04 eta: 4:34:32 time: 0.2361 data_time: 0.0222 memory: 6108 grad_norm: 8.3347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/07/23 11:57:27 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 1.0000e-04 eta: 4:34:27 time: 0.2303 data_time: 0.0192 memory: 6108 grad_norm: 8.9880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/07/23 11:57:32 - mmengine - INFO - Epoch(train) [82][2220/3757] lr: 1.0000e-04 eta: 4:34:23 time: 0.2290 data_time: 0.0262 memory: 6108 grad_norm: 8.8905 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2837 loss: 1.2837 2022/07/23 11:57:36 - mmengine - INFO - Epoch(train) [82][2240/3757] lr: 1.0000e-04 eta: 4:34:18 time: 0.2304 data_time: 0.0221 memory: 6108 grad_norm: 9.1175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2434 loss: 1.2434 2022/07/23 11:57:41 - mmengine - INFO - Epoch(train) [82][2260/3757] lr: 1.0000e-04 eta: 4:34:13 time: 0.2328 data_time: 0.0250 memory: 6108 grad_norm: 8.7108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2320 loss: 1.2320 2022/07/23 11:57:46 - mmengine - INFO - Epoch(train) [82][2280/3757] lr: 1.0000e-04 eta: 4:34:08 time: 0.2382 data_time: 0.0253 memory: 6108 grad_norm: 8.8442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0885 loss: 1.0885 2022/07/23 11:57:50 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 1.0000e-04 eta: 4:34:03 time: 0.2292 data_time: 0.0214 memory: 6108 grad_norm: 8.7807 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/07/23 11:57:55 - mmengine - INFO - Epoch(train) [82][2320/3757] lr: 1.0000e-04 eta: 4:33:59 time: 0.2323 data_time: 0.0192 memory: 6108 grad_norm: 8.5461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1089 loss: 1.1089 2022/07/23 11:58:00 - mmengine - INFO - Epoch(train) [82][2340/3757] lr: 1.0000e-04 eta: 4:33:54 time: 0.2448 data_time: 0.0280 memory: 6108 grad_norm: 8.8075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/07/23 11:58:05 - mmengine - INFO - Epoch(train) [82][2360/3757] lr: 1.0000e-04 eta: 4:33:49 time: 0.2603 data_time: 0.0200 memory: 6108 grad_norm: 8.9754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3950 loss: 1.3950 2022/07/23 11:58:10 - mmengine - INFO - Epoch(train) [82][2380/3757] lr: 1.0000e-04 eta: 4:33:44 time: 0.2273 data_time: 0.0195 memory: 6108 grad_norm: 8.6680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1927 loss: 1.1927 2022/07/23 11:58:15 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 1.0000e-04 eta: 4:33:40 time: 0.2329 data_time: 0.0289 memory: 6108 grad_norm: 8.8850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1289 loss: 1.1289 2022/07/23 11:58:19 - mmengine - INFO - Epoch(train) [82][2420/3757] lr: 1.0000e-04 eta: 4:33:35 time: 0.2290 data_time: 0.0236 memory: 6108 grad_norm: 8.7166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/07/23 11:58:24 - mmengine - INFO - Epoch(train) [82][2440/3757] lr: 1.0000e-04 eta: 4:33:30 time: 0.2287 data_time: 0.0216 memory: 6108 grad_norm: 8.8114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/07/23 11:58:29 - mmengine - INFO - Epoch(train) [82][2460/3757] lr: 1.0000e-04 eta: 4:33:25 time: 0.2390 data_time: 0.0215 memory: 6108 grad_norm: 9.0113 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2997 loss: 1.2997 2022/07/23 11:58:33 - mmengine - INFO - Epoch(train) [82][2480/3757] lr: 1.0000e-04 eta: 4:33:21 time: 0.2339 data_time: 0.0193 memory: 6108 grad_norm: 9.3450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3617 loss: 1.3617 2022/07/23 11:58:38 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 1.0000e-04 eta: 4:33:16 time: 0.2235 data_time: 0.0199 memory: 6108 grad_norm: 8.7055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0412 loss: 1.0412 2022/07/23 11:58:42 - mmengine - INFO - Epoch(train) [82][2520/3757] lr: 1.0000e-04 eta: 4:33:11 time: 0.2303 data_time: 0.0211 memory: 6108 grad_norm: 8.9171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4512 loss: 1.4512 2022/07/23 11:58:47 - mmengine - INFO - Epoch(train) [82][2540/3757] lr: 1.0000e-04 eta: 4:33:06 time: 0.2364 data_time: 0.0197 memory: 6108 grad_norm: 8.8187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1970 loss: 1.1970 2022/07/23 11:58:52 - mmengine - INFO - Epoch(train) [82][2560/3757] lr: 1.0000e-04 eta: 4:33:01 time: 0.2295 data_time: 0.0218 memory: 6108 grad_norm: 8.7761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1728 loss: 1.1728 2022/07/23 11:58:57 - mmengine - INFO - Epoch(train) [82][2580/3757] lr: 1.0000e-04 eta: 4:32:57 time: 0.2374 data_time: 0.0173 memory: 6108 grad_norm: 8.7141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1306 loss: 1.1306 2022/07/23 11:59:02 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 1.0000e-04 eta: 4:32:52 time: 0.2447 data_time: 0.0261 memory: 6108 grad_norm: 8.8006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1901 loss: 1.1901 2022/07/23 11:59:07 - mmengine - INFO - Epoch(train) [82][2620/3757] lr: 1.0000e-04 eta: 4:32:47 time: 0.2526 data_time: 0.0300 memory: 6108 grad_norm: 8.4591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1466 loss: 1.1466 2022/07/23 11:59:11 - mmengine - INFO - Epoch(train) [82][2640/3757] lr: 1.0000e-04 eta: 4:32:42 time: 0.2372 data_time: 0.0206 memory: 6108 grad_norm: 8.8591 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/07/23 11:59:16 - mmengine - INFO - Epoch(train) [82][2660/3757] lr: 1.0000e-04 eta: 4:32:38 time: 0.2348 data_time: 0.0200 memory: 6108 grad_norm: 8.8809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3385 loss: 1.3385 2022/07/23 11:59:21 - mmengine - INFO - Epoch(train) [82][2680/3757] lr: 1.0000e-04 eta: 4:32:33 time: 0.2324 data_time: 0.0244 memory: 6108 grad_norm: 8.6569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/07/23 11:59:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 11:59:26 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 1.0000e-04 eta: 4:32:28 time: 0.2369 data_time: 0.0185 memory: 6108 grad_norm: 8.8879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1008 loss: 1.1008 2022/07/23 11:59:30 - mmengine - INFO - Epoch(train) [82][2720/3757] lr: 1.0000e-04 eta: 4:32:23 time: 0.2263 data_time: 0.0174 memory: 6108 grad_norm: 9.2362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1481 loss: 1.1481 2022/07/23 11:59:35 - mmengine - INFO - Epoch(train) [82][2740/3757] lr: 1.0000e-04 eta: 4:32:18 time: 0.2338 data_time: 0.0217 memory: 6108 grad_norm: 8.6595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2132 loss: 1.2132 2022/07/23 11:59:39 - mmengine - INFO - Epoch(train) [82][2760/3757] lr: 1.0000e-04 eta: 4:32:14 time: 0.2279 data_time: 0.0208 memory: 6108 grad_norm: 9.2811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4068 loss: 1.4068 2022/07/23 11:59:44 - mmengine - INFO - Epoch(train) [82][2780/3757] lr: 1.0000e-04 eta: 4:32:09 time: 0.2301 data_time: 0.0178 memory: 6108 grad_norm: 8.5560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0808 loss: 1.0808 2022/07/23 11:59:49 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 1.0000e-04 eta: 4:32:04 time: 0.2391 data_time: 0.0241 memory: 6108 grad_norm: 9.0449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3312 loss: 1.3312 2022/07/23 11:59:54 - mmengine - INFO - Epoch(train) [82][2820/3757] lr: 1.0000e-04 eta: 4:31:59 time: 0.2347 data_time: 0.0180 memory: 6108 grad_norm: 8.9788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/07/23 11:59:58 - mmengine - INFO - Epoch(train) [82][2840/3757] lr: 1.0000e-04 eta: 4:31:55 time: 0.2329 data_time: 0.0185 memory: 6108 grad_norm: 8.5066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0231 loss: 1.0231 2022/07/23 12:00:07 - mmengine - INFO - Epoch(train) [82][2860/3757] lr: 1.0000e-04 eta: 4:31:51 time: 0.4275 data_time: 0.0238 memory: 6108 grad_norm: 8.8329 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1903 loss: 1.1903 2022/07/23 12:00:11 - mmengine - INFO - Epoch(train) [82][2880/3757] lr: 1.0000e-04 eta: 4:31:46 time: 0.2274 data_time: 0.0259 memory: 6108 grad_norm: 8.5069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2695 loss: 1.2695 2022/07/23 12:00:16 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 1.0000e-04 eta: 4:31:41 time: 0.2344 data_time: 0.0183 memory: 6108 grad_norm: 8.7949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9332 loss: 0.9332 2022/07/23 12:00:21 - mmengine - INFO - Epoch(train) [82][2920/3757] lr: 1.0000e-04 eta: 4:31:36 time: 0.2281 data_time: 0.0212 memory: 6108 grad_norm: 8.7789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1283 loss: 1.1283 2022/07/23 12:00:25 - mmengine - INFO - Epoch(train) [82][2940/3757] lr: 1.0000e-04 eta: 4:31:31 time: 0.2353 data_time: 0.0271 memory: 6108 grad_norm: 8.9803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9673 loss: 0.9673 2022/07/23 12:00:30 - mmengine - INFO - Epoch(train) [82][2960/3757] lr: 1.0000e-04 eta: 4:31:27 time: 0.2311 data_time: 0.0197 memory: 6108 grad_norm: 8.8160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0731 loss: 1.0731 2022/07/23 12:00:35 - mmengine - INFO - Epoch(train) [82][2980/3757] lr: 1.0000e-04 eta: 4:31:22 time: 0.2339 data_time: 0.0174 memory: 6108 grad_norm: 8.7922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/07/23 12:00:39 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 1.0000e-04 eta: 4:31:17 time: 0.2287 data_time: 0.0260 memory: 6108 grad_norm: 8.7761 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0439 loss: 1.0439 2022/07/23 12:00:44 - mmengine - INFO - Epoch(train) [82][3020/3757] lr: 1.0000e-04 eta: 4:31:12 time: 0.2312 data_time: 0.0213 memory: 6108 grad_norm: 8.9264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1767 loss: 1.1767 2022/07/23 12:00:49 - mmengine - INFO - Epoch(train) [82][3040/3757] lr: 1.0000e-04 eta: 4:31:08 time: 0.2319 data_time: 0.0252 memory: 6108 grad_norm: 8.6977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1904 loss: 1.1904 2022/07/23 12:00:53 - mmengine - INFO - Epoch(train) [82][3060/3757] lr: 1.0000e-04 eta: 4:31:03 time: 0.2319 data_time: 0.0221 memory: 6108 grad_norm: 8.9665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2011 loss: 1.2011 2022/07/23 12:00:58 - mmengine - INFO - Epoch(train) [82][3080/3757] lr: 1.0000e-04 eta: 4:30:58 time: 0.2321 data_time: 0.0299 memory: 6108 grad_norm: 8.8266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2848 loss: 1.2848 2022/07/23 12:01:03 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 1.0000e-04 eta: 4:30:53 time: 0.2265 data_time: 0.0187 memory: 6108 grad_norm: 8.9612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/07/23 12:01:07 - mmengine - INFO - Epoch(train) [82][3120/3757] lr: 1.0000e-04 eta: 4:30:48 time: 0.2345 data_time: 0.0241 memory: 6108 grad_norm: 8.7143 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3471 loss: 1.3471 2022/07/23 12:01:12 - mmengine - INFO - Epoch(train) [82][3140/3757] lr: 1.0000e-04 eta: 4:30:44 time: 0.2279 data_time: 0.0197 memory: 6108 grad_norm: 8.9175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/07/23 12:01:17 - mmengine - INFO - Epoch(train) [82][3160/3757] lr: 1.0000e-04 eta: 4:30:39 time: 0.2549 data_time: 0.0246 memory: 6108 grad_norm: 8.7102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1846 loss: 1.1846 2022/07/23 12:01:22 - mmengine - INFO - Epoch(train) [82][3180/3757] lr: 1.0000e-04 eta: 4:30:34 time: 0.2302 data_time: 0.0269 memory: 6108 grad_norm: 8.6501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0796 loss: 1.0796 2022/07/23 12:01:27 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 1.0000e-04 eta: 4:30:29 time: 0.2464 data_time: 0.0222 memory: 6108 grad_norm: 8.9695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3767 loss: 1.3767 2022/07/23 12:01:31 - mmengine - INFO - Epoch(train) [82][3220/3757] lr: 1.0000e-04 eta: 4:30:25 time: 0.2321 data_time: 0.0273 memory: 6108 grad_norm: 8.8710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/07/23 12:01:36 - mmengine - INFO - Epoch(train) [82][3240/3757] lr: 1.0000e-04 eta: 4:30:20 time: 0.2316 data_time: 0.0233 memory: 6108 grad_norm: 8.5241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/07/23 12:01:41 - mmengine - INFO - Epoch(train) [82][3260/3757] lr: 1.0000e-04 eta: 4:30:15 time: 0.2523 data_time: 0.0206 memory: 6108 grad_norm: 9.0096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9819 loss: 0.9819 2022/07/23 12:01:46 - mmengine - INFO - Epoch(train) [82][3280/3757] lr: 1.0000e-04 eta: 4:30:10 time: 0.2550 data_time: 0.0207 memory: 6108 grad_norm: 9.0415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0209 loss: 1.0209 2022/07/23 12:01:51 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 1.0000e-04 eta: 4:30:06 time: 0.2289 data_time: 0.0218 memory: 6108 grad_norm: 8.7791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1677 loss: 1.1677 2022/07/23 12:01:56 - mmengine - INFO - Epoch(train) [82][3320/3757] lr: 1.0000e-04 eta: 4:30:01 time: 0.2452 data_time: 0.0236 memory: 6108 grad_norm: 8.8521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0433 loss: 1.0433 2022/07/23 12:02:00 - mmengine - INFO - Epoch(train) [82][3340/3757] lr: 1.0000e-04 eta: 4:29:56 time: 0.2306 data_time: 0.0240 memory: 6108 grad_norm: 8.6056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3539 loss: 1.3539 2022/07/23 12:02:05 - mmengine - INFO - Epoch(train) [82][3360/3757] lr: 1.0000e-04 eta: 4:29:51 time: 0.2401 data_time: 0.0278 memory: 6108 grad_norm: 8.8204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2904 loss: 1.2904 2022/07/23 12:02:10 - mmengine - INFO - Epoch(train) [82][3380/3757] lr: 1.0000e-04 eta: 4:29:47 time: 0.2300 data_time: 0.0270 memory: 6108 grad_norm: 8.5344 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0684 loss: 1.0684 2022/07/23 12:02:15 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 1.0000e-04 eta: 4:29:42 time: 0.2406 data_time: 0.0340 memory: 6108 grad_norm: 8.7571 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/07/23 12:02:19 - mmengine - INFO - Epoch(train) [82][3420/3757] lr: 1.0000e-04 eta: 4:29:37 time: 0.2351 data_time: 0.0229 memory: 6108 grad_norm: 8.9045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/07/23 12:02:24 - mmengine - INFO - Epoch(train) [82][3440/3757] lr: 1.0000e-04 eta: 4:29:32 time: 0.2294 data_time: 0.0203 memory: 6108 grad_norm: 8.7970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4109 loss: 1.4109 2022/07/23 12:02:29 - mmengine - INFO - Epoch(train) [82][3460/3757] lr: 1.0000e-04 eta: 4:29:27 time: 0.2359 data_time: 0.0213 memory: 6108 grad_norm: 8.7000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8115 loss: 0.8115 2022/07/23 12:02:33 - mmengine - INFO - Epoch(train) [82][3480/3757] lr: 1.0000e-04 eta: 4:29:23 time: 0.2347 data_time: 0.0263 memory: 6108 grad_norm: 9.0772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0521 loss: 1.0521 2022/07/23 12:02:38 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 1.0000e-04 eta: 4:29:18 time: 0.2371 data_time: 0.0224 memory: 6108 grad_norm: 9.0492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/07/23 12:02:43 - mmengine - INFO - Epoch(train) [82][3520/3757] lr: 1.0000e-04 eta: 4:29:13 time: 0.2268 data_time: 0.0255 memory: 6108 grad_norm: 8.8892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/07/23 12:02:47 - mmengine - INFO - Epoch(train) [82][3540/3757] lr: 1.0000e-04 eta: 4:29:08 time: 0.2329 data_time: 0.0225 memory: 6108 grad_norm: 8.7412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1541 loss: 1.1541 2022/07/23 12:02:52 - mmengine - INFO - Epoch(train) [82][3560/3757] lr: 1.0000e-04 eta: 4:29:04 time: 0.2307 data_time: 0.0208 memory: 6108 grad_norm: 8.7261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0194 loss: 1.0194 2022/07/23 12:02:57 - mmengine - INFO - Epoch(train) [82][3580/3757] lr: 1.0000e-04 eta: 4:28:59 time: 0.2298 data_time: 0.0187 memory: 6108 grad_norm: 8.9101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/07/23 12:03:01 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 1.0000e-04 eta: 4:28:54 time: 0.2292 data_time: 0.0212 memory: 6108 grad_norm: 8.8297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2820 loss: 1.2820 2022/07/23 12:03:06 - mmengine - INFO - Epoch(train) [82][3620/3757] lr: 1.0000e-04 eta: 4:28:49 time: 0.2405 data_time: 0.0191 memory: 6108 grad_norm: 9.4552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4516 loss: 1.4516 2022/07/23 12:03:11 - mmengine - INFO - Epoch(train) [82][3640/3757] lr: 1.0000e-04 eta: 4:28:44 time: 0.2289 data_time: 0.0226 memory: 6108 grad_norm: 8.4878 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0323 loss: 1.0323 2022/07/23 12:03:16 - mmengine - INFO - Epoch(train) [82][3660/3757] lr: 1.0000e-04 eta: 4:28:40 time: 0.2334 data_time: 0.0234 memory: 6108 grad_norm: 8.8710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5191 loss: 1.5191 2022/07/23 12:03:20 - mmengine - INFO - Epoch(train) [82][3680/3757] lr: 1.0000e-04 eta: 4:28:35 time: 0.2337 data_time: 0.0236 memory: 6108 grad_norm: 8.9687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/07/23 12:03:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:03:25 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 1.0000e-04 eta: 4:28:30 time: 0.2397 data_time: 0.0238 memory: 6108 grad_norm: 8.8268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/07/23 12:03:30 - mmengine - INFO - Epoch(train) [82][3720/3757] lr: 1.0000e-04 eta: 4:28:25 time: 0.2259 data_time: 0.0238 memory: 6108 grad_norm: 8.8670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/07/23 12:03:34 - mmengine - INFO - Epoch(train) [82][3740/3757] lr: 1.0000e-04 eta: 4:28:20 time: 0.2313 data_time: 0.0181 memory: 6108 grad_norm: 8.7931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2531 loss: 1.2531 2022/07/23 12:03:38 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:03:38 - mmengine - INFO - Epoch(train) [82][3757/3757] lr: 1.0000e-04 eta: 4:28:20 time: 0.1998 data_time: 0.0133 memory: 6108 grad_norm: 8.9747 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1413 loss: 1.1413 2022/07/23 12:03:43 - mmengine - INFO - Epoch(val) [82][20/310] eta: 0:01:18 time: 0.2723 data_time: 0.1882 memory: 1428 2022/07/23 12:03:47 - mmengine - INFO - Epoch(val) [82][40/310] eta: 0:00:47 time: 0.1770 data_time: 0.0881 memory: 1428 2022/07/23 12:03:51 - mmengine - INFO - Epoch(val) [82][60/310] eta: 0:00:57 time: 0.2314 data_time: 0.1525 memory: 1428 2022/07/23 12:03:55 - mmengine - INFO - Epoch(val) [82][80/310] eta: 0:00:45 time: 0.1987 data_time: 0.1218 memory: 1428 2022/07/23 12:04:00 - mmengine - INFO - Epoch(val) [82][100/310] eta: 0:00:46 time: 0.2207 data_time: 0.1426 memory: 1428 2022/07/23 12:04:04 - mmengine - INFO - Epoch(val) [82][120/310] eta: 0:00:40 time: 0.2116 data_time: 0.1366 memory: 1428 2022/07/23 12:04:09 - mmengine - INFO - Epoch(val) [82][140/310] eta: 0:00:41 time: 0.2428 data_time: 0.1656 memory: 1428 2022/07/23 12:04:13 - mmengine - INFO - Epoch(val) [82][160/310] eta: 0:00:29 time: 0.1964 data_time: 0.1191 memory: 1428 2022/07/23 12:04:17 - mmengine - INFO - Epoch(val) [82][180/310] eta: 0:00:30 time: 0.2341 data_time: 0.1565 memory: 1428 2022/07/23 12:04:21 - mmengine - INFO - Epoch(val) [82][200/310] eta: 0:00:19 time: 0.1780 data_time: 0.0980 memory: 1428 2022/07/23 12:04:25 - mmengine - INFO - Epoch(val) [82][220/310] eta: 0:00:19 time: 0.2187 data_time: 0.1413 memory: 1428 2022/07/23 12:04:29 - mmengine - INFO - Epoch(val) [82][240/310] eta: 0:00:13 time: 0.1970 data_time: 0.1175 memory: 1428 2022/07/23 12:04:34 - mmengine - INFO - Epoch(val) [82][260/310] eta: 0:00:11 time: 0.2239 data_time: 0.1461 memory: 1428 2022/07/23 12:04:38 - mmengine - INFO - Epoch(val) [82][280/310] eta: 0:00:06 time: 0.2080 data_time: 0.1292 memory: 1428 2022/07/23 12:04:42 - mmengine - INFO - Epoch(val) [82][300/310] eta: 0:00:02 time: 0.2134 data_time: 0.1362 memory: 1428 2022/07/23 12:04:46 - mmengine - INFO - Epoch(val) [82][310/310] acc/top1: 0.6649 acc/top5: 0.8639 acc/mean1: 0.6648 2022/07/23 12:04:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_82.pth is removed 2022/07/23 12:04:48 - mmengine - INFO - The best checkpoint with 0.6649 acc/top1 at 83 epoch is saved to best_acc/top1_epoch_83.pth. 2022/07/23 12:04:54 - mmengine - INFO - Epoch(train) [83][20/3757] lr: 1.0000e-04 eta: 4:28:11 time: 0.2907 data_time: 0.0928 memory: 6108 grad_norm: 9.0374 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2340 loss: 1.2340 2022/07/23 12:04:59 - mmengine - INFO - Epoch(train) [83][40/3757] lr: 1.0000e-04 eta: 4:28:06 time: 0.2352 data_time: 0.0192 memory: 6108 grad_norm: 8.3124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/07/23 12:05:03 - mmengine - INFO - Epoch(train) [83][60/3757] lr: 1.0000e-04 eta: 4:28:01 time: 0.2284 data_time: 0.0265 memory: 6108 grad_norm: 9.0805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4738 loss: 1.4738 2022/07/23 12:05:08 - mmengine - INFO - Epoch(train) [83][80/3757] lr: 1.0000e-04 eta: 4:27:57 time: 0.2357 data_time: 0.0238 memory: 6108 grad_norm: 8.8749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1901 loss: 1.1901 2022/07/23 12:05:13 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 1.0000e-04 eta: 4:27:52 time: 0.2371 data_time: 0.0282 memory: 6108 grad_norm: 8.7364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0590 loss: 1.0590 2022/07/23 12:05:18 - mmengine - INFO - Epoch(train) [83][120/3757] lr: 1.0000e-04 eta: 4:27:47 time: 0.2407 data_time: 0.0235 memory: 6108 grad_norm: 8.8575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2205 loss: 1.2205 2022/07/23 12:05:22 - mmengine - INFO - Epoch(train) [83][140/3757] lr: 1.0000e-04 eta: 4:27:42 time: 0.2355 data_time: 0.0246 memory: 6108 grad_norm: 8.5652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2758 loss: 1.2758 2022/07/23 12:05:27 - mmengine - INFO - Epoch(train) [83][160/3757] lr: 1.0000e-04 eta: 4:27:38 time: 0.2449 data_time: 0.0199 memory: 6108 grad_norm: 8.1833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/07/23 12:05:32 - mmengine - INFO - Epoch(train) [83][180/3757] lr: 1.0000e-04 eta: 4:27:33 time: 0.2347 data_time: 0.0310 memory: 6108 grad_norm: 8.8914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1046 loss: 1.1046 2022/07/23 12:05:37 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 1.0000e-04 eta: 4:27:28 time: 0.2326 data_time: 0.0202 memory: 6108 grad_norm: 9.0007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0174 loss: 1.0174 2022/07/23 12:05:41 - mmengine - INFO - Epoch(train) [83][220/3757] lr: 1.0000e-04 eta: 4:27:23 time: 0.2277 data_time: 0.0207 memory: 6108 grad_norm: 8.8673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1224 loss: 1.1224 2022/07/23 12:05:46 - mmengine - INFO - Epoch(train) [83][240/3757] lr: 1.0000e-04 eta: 4:27:18 time: 0.2377 data_time: 0.0232 memory: 6108 grad_norm: 8.8445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4298 loss: 1.4298 2022/07/23 12:05:51 - mmengine - INFO - Epoch(train) [83][260/3757] lr: 1.0000e-04 eta: 4:27:14 time: 0.2392 data_time: 0.0193 memory: 6108 grad_norm: 8.6781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2576 loss: 1.2576 2022/07/23 12:05:56 - mmengine - INFO - Epoch(train) [83][280/3757] lr: 1.0000e-04 eta: 4:27:09 time: 0.2480 data_time: 0.0207 memory: 6108 grad_norm: 8.9445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0396 loss: 1.0396 2022/07/23 12:06:01 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 1.0000e-04 eta: 4:27:04 time: 0.2402 data_time: 0.0219 memory: 6108 grad_norm: 9.1384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/07/23 12:06:06 - mmengine - INFO - Epoch(train) [83][320/3757] lr: 1.0000e-04 eta: 4:27:00 time: 0.2392 data_time: 0.0255 memory: 6108 grad_norm: 8.9052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/07/23 12:06:10 - mmengine - INFO - Epoch(train) [83][340/3757] lr: 1.0000e-04 eta: 4:26:55 time: 0.2312 data_time: 0.0210 memory: 6108 grad_norm: 8.5371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/07/23 12:06:15 - mmengine - INFO - Epoch(train) [83][360/3757] lr: 1.0000e-04 eta: 4:26:50 time: 0.2288 data_time: 0.0253 memory: 6108 grad_norm: 8.6851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3223 loss: 1.3223 2022/07/23 12:06:19 - mmengine - INFO - Epoch(train) [83][380/3757] lr: 1.0000e-04 eta: 4:26:45 time: 0.2319 data_time: 0.0235 memory: 6108 grad_norm: 8.5791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/07/23 12:06:24 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 1.0000e-04 eta: 4:26:40 time: 0.2345 data_time: 0.0215 memory: 6108 grad_norm: 8.9410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3121 loss: 1.3121 2022/07/23 12:06:29 - mmengine - INFO - Epoch(train) [83][420/3757] lr: 1.0000e-04 eta: 4:26:36 time: 0.2470 data_time: 0.0344 memory: 6108 grad_norm: 9.3755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2115 loss: 1.2115 2022/07/23 12:06:34 - mmengine - INFO - Epoch(train) [83][440/3757] lr: 1.0000e-04 eta: 4:26:31 time: 0.2306 data_time: 0.0231 memory: 6108 grad_norm: 8.5428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/07/23 12:06:39 - mmengine - INFO - Epoch(train) [83][460/3757] lr: 1.0000e-04 eta: 4:26:26 time: 0.2471 data_time: 0.0208 memory: 6108 grad_norm: 8.9990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/07/23 12:06:44 - mmengine - INFO - Epoch(train) [83][480/3757] lr: 1.0000e-04 eta: 4:26:21 time: 0.2414 data_time: 0.0229 memory: 6108 grad_norm: 8.9001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2886 loss: 1.2886 2022/07/23 12:06:48 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 1.0000e-04 eta: 4:26:17 time: 0.2415 data_time: 0.0206 memory: 6108 grad_norm: 8.6280 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2670 loss: 1.2670 2022/07/23 12:06:53 - mmengine - INFO - Epoch(train) [83][520/3757] lr: 1.0000e-04 eta: 4:26:12 time: 0.2330 data_time: 0.0243 memory: 6108 grad_norm: 8.9595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8810 loss: 0.8810 2022/07/23 12:06:58 - mmengine - INFO - Epoch(train) [83][540/3757] lr: 1.0000e-04 eta: 4:26:07 time: 0.2415 data_time: 0.0196 memory: 6108 grad_norm: 8.7252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/07/23 12:07:03 - mmengine - INFO - Epoch(train) [83][560/3757] lr: 1.0000e-04 eta: 4:26:02 time: 0.2280 data_time: 0.0212 memory: 6108 grad_norm: 9.1558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2427 loss: 1.2427 2022/07/23 12:07:08 - mmengine - INFO - Epoch(train) [83][580/3757] lr: 1.0000e-04 eta: 4:25:58 time: 0.2458 data_time: 0.0229 memory: 6108 grad_norm: 9.0426 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0890 loss: 1.0890 2022/07/23 12:07:12 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 1.0000e-04 eta: 4:25:53 time: 0.2297 data_time: 0.0258 memory: 6108 grad_norm: 8.6828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2474 loss: 1.2474 2022/07/23 12:07:17 - mmengine - INFO - Epoch(train) [83][620/3757] lr: 1.0000e-04 eta: 4:25:48 time: 0.2326 data_time: 0.0204 memory: 6108 grad_norm: 9.1084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/07/23 12:07:21 - mmengine - INFO - Epoch(train) [83][640/3757] lr: 1.0000e-04 eta: 4:25:43 time: 0.2275 data_time: 0.0248 memory: 6108 grad_norm: 8.9478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/07/23 12:07:26 - mmengine - INFO - Epoch(train) [83][660/3757] lr: 1.0000e-04 eta: 4:25:38 time: 0.2390 data_time: 0.0236 memory: 6108 grad_norm: 9.1184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3652 loss: 1.3652 2022/07/23 12:07:31 - mmengine - INFO - Epoch(train) [83][680/3757] lr: 1.0000e-04 eta: 4:25:34 time: 0.2333 data_time: 0.0242 memory: 6108 grad_norm: 9.1950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1622 loss: 1.1622 2022/07/23 12:07:36 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 1.0000e-04 eta: 4:25:29 time: 0.2289 data_time: 0.0184 memory: 6108 grad_norm: 8.6888 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0703 loss: 1.0703 2022/07/23 12:07:40 - mmengine - INFO - Epoch(train) [83][720/3757] lr: 1.0000e-04 eta: 4:25:24 time: 0.2306 data_time: 0.0253 memory: 6108 grad_norm: 8.7731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/07/23 12:07:45 - mmengine - INFO - Epoch(train) [83][740/3757] lr: 1.0000e-04 eta: 4:25:19 time: 0.2373 data_time: 0.0217 memory: 6108 grad_norm: 8.7416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2970 loss: 1.2970 2022/07/23 12:07:50 - mmengine - INFO - Epoch(train) [83][760/3757] lr: 1.0000e-04 eta: 4:25:15 time: 0.2366 data_time: 0.0240 memory: 6108 grad_norm: 8.5730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9723 loss: 0.9723 2022/07/23 12:07:54 - mmengine - INFO - Epoch(train) [83][780/3757] lr: 1.0000e-04 eta: 4:25:10 time: 0.2319 data_time: 0.0220 memory: 6108 grad_norm: 8.6835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/07/23 12:07:59 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 1.0000e-04 eta: 4:25:05 time: 0.2313 data_time: 0.0207 memory: 6108 grad_norm: 8.8870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/07/23 12:08:04 - mmengine - INFO - Epoch(train) [83][820/3757] lr: 1.0000e-04 eta: 4:25:00 time: 0.2296 data_time: 0.0190 memory: 6108 grad_norm: 8.9567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9824 loss: 0.9824 2022/07/23 12:08:09 - mmengine - INFO - Epoch(train) [83][840/3757] lr: 1.0000e-04 eta: 4:24:55 time: 0.2418 data_time: 0.0215 memory: 6108 grad_norm: 9.0152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0273 loss: 1.0273 2022/07/23 12:08:13 - mmengine - INFO - Epoch(train) [83][860/3757] lr: 1.0000e-04 eta: 4:24:51 time: 0.2288 data_time: 0.0196 memory: 6108 grad_norm: 8.7139 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2224 loss: 1.2224 2022/07/23 12:08:18 - mmengine - INFO - Epoch(train) [83][880/3757] lr: 1.0000e-04 eta: 4:24:46 time: 0.2296 data_time: 0.0215 memory: 6108 grad_norm: 9.1143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/07/23 12:08:22 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 1.0000e-04 eta: 4:24:41 time: 0.2311 data_time: 0.0277 memory: 6108 grad_norm: 8.6092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/07/23 12:08:27 - mmengine - INFO - Epoch(train) [83][920/3757] lr: 1.0000e-04 eta: 4:24:36 time: 0.2483 data_time: 0.0179 memory: 6108 grad_norm: 8.7332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/07/23 12:08:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:08:32 - mmengine - INFO - Epoch(train) [83][940/3757] lr: 1.0000e-04 eta: 4:24:32 time: 0.2313 data_time: 0.0236 memory: 6108 grad_norm: 9.2724 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/07/23 12:08:37 - mmengine - INFO - Epoch(train) [83][960/3757] lr: 1.0000e-04 eta: 4:24:27 time: 0.2307 data_time: 0.0203 memory: 6108 grad_norm: 8.7149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/07/23 12:08:41 - mmengine - INFO - Epoch(train) [83][980/3757] lr: 1.0000e-04 eta: 4:24:22 time: 0.2304 data_time: 0.0203 memory: 6108 grad_norm: 8.9264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/07/23 12:08:46 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 1.0000e-04 eta: 4:24:17 time: 0.2337 data_time: 0.0269 memory: 6108 grad_norm: 9.0395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0392 loss: 1.0392 2022/07/23 12:08:51 - mmengine - INFO - Epoch(train) [83][1020/3757] lr: 1.0000e-04 eta: 4:24:12 time: 0.2344 data_time: 0.0266 memory: 6108 grad_norm: 8.8748 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/07/23 12:08:55 - mmengine - INFO - Epoch(train) [83][1040/3757] lr: 1.0000e-04 eta: 4:24:08 time: 0.2272 data_time: 0.0211 memory: 6108 grad_norm: 9.0887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/07/23 12:09:01 - mmengine - INFO - Epoch(train) [83][1060/3757] lr: 1.0000e-04 eta: 4:24:03 time: 0.2573 data_time: 0.0204 memory: 6108 grad_norm: 8.9981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0329 loss: 1.0329 2022/07/23 12:09:05 - mmengine - INFO - Epoch(train) [83][1080/3757] lr: 1.0000e-04 eta: 4:23:58 time: 0.2382 data_time: 0.0221 memory: 6108 grad_norm: 8.7925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/07/23 12:09:10 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 1.0000e-04 eta: 4:23:53 time: 0.2283 data_time: 0.0251 memory: 6108 grad_norm: 8.5575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1452 loss: 1.1452 2022/07/23 12:09:15 - mmengine - INFO - Epoch(train) [83][1120/3757] lr: 1.0000e-04 eta: 4:23:49 time: 0.2298 data_time: 0.0209 memory: 6108 grad_norm: 9.0423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6497 loss: 1.6497 2022/07/23 12:09:19 - mmengine - INFO - Epoch(train) [83][1140/3757] lr: 1.0000e-04 eta: 4:23:44 time: 0.2330 data_time: 0.0264 memory: 6108 grad_norm: 8.8915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1412 loss: 1.1412 2022/07/23 12:09:24 - mmengine - INFO - Epoch(train) [83][1160/3757] lr: 1.0000e-04 eta: 4:23:39 time: 0.2288 data_time: 0.0225 memory: 6108 grad_norm: 9.1567 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/07/23 12:09:29 - mmengine - INFO - Epoch(train) [83][1180/3757] lr: 1.0000e-04 eta: 4:23:34 time: 0.2435 data_time: 0.0213 memory: 6108 grad_norm: 9.0426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2268 loss: 1.2268 2022/07/23 12:09:33 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 1.0000e-04 eta: 4:23:29 time: 0.2293 data_time: 0.0233 memory: 6108 grad_norm: 8.3471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/07/23 12:09:38 - mmengine - INFO - Epoch(train) [83][1220/3757] lr: 1.0000e-04 eta: 4:23:25 time: 0.2403 data_time: 0.0211 memory: 6108 grad_norm: 8.9798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/07/23 12:09:43 - mmengine - INFO - Epoch(train) [83][1240/3757] lr: 1.0000e-04 eta: 4:23:20 time: 0.2296 data_time: 0.0221 memory: 6108 grad_norm: 8.8832 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/07/23 12:09:48 - mmengine - INFO - Epoch(train) [83][1260/3757] lr: 1.0000e-04 eta: 4:23:15 time: 0.2572 data_time: 0.0218 memory: 6108 grad_norm: 9.0327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3103 loss: 1.3103 2022/07/23 12:09:52 - mmengine - INFO - Epoch(train) [83][1280/3757] lr: 1.0000e-04 eta: 4:23:10 time: 0.2223 data_time: 0.0199 memory: 6108 grad_norm: 8.7753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2144 loss: 1.2144 2022/07/23 12:09:57 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 1.0000e-04 eta: 4:23:06 time: 0.2338 data_time: 0.0193 memory: 6108 grad_norm: 8.9722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/07/23 12:10:02 - mmengine - INFO - Epoch(train) [83][1320/3757] lr: 1.0000e-04 eta: 4:23:01 time: 0.2341 data_time: 0.0222 memory: 6108 grad_norm: 8.7441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/07/23 12:10:07 - mmengine - INFO - Epoch(train) [83][1340/3757] lr: 1.0000e-04 eta: 4:22:56 time: 0.2380 data_time: 0.0212 memory: 6108 grad_norm: 8.8277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2078 loss: 1.2078 2022/07/23 12:10:11 - mmengine - INFO - Epoch(train) [83][1360/3757] lr: 1.0000e-04 eta: 4:22:51 time: 0.2327 data_time: 0.0226 memory: 6108 grad_norm: 8.8149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/07/23 12:10:16 - mmengine - INFO - Epoch(train) [83][1380/3757] lr: 1.0000e-04 eta: 4:22:46 time: 0.2259 data_time: 0.0280 memory: 6108 grad_norm: 8.9658 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1897 loss: 1.1897 2022/07/23 12:10:21 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 1.0000e-04 eta: 4:22:42 time: 0.2341 data_time: 0.0242 memory: 6108 grad_norm: 8.9529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2380 loss: 1.2380 2022/07/23 12:10:25 - mmengine - INFO - Epoch(train) [83][1420/3757] lr: 1.0000e-04 eta: 4:22:37 time: 0.2309 data_time: 0.0192 memory: 6108 grad_norm: 8.7463 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3100 loss: 1.3100 2022/07/23 12:10:30 - mmengine - INFO - Epoch(train) [83][1440/3757] lr: 1.0000e-04 eta: 4:22:32 time: 0.2390 data_time: 0.0267 memory: 6108 grad_norm: 8.8072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0831 loss: 1.0831 2022/07/23 12:10:35 - mmengine - INFO - Epoch(train) [83][1460/3757] lr: 1.0000e-04 eta: 4:22:27 time: 0.2346 data_time: 0.0197 memory: 6108 grad_norm: 9.1599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/07/23 12:10:39 - mmengine - INFO - Epoch(train) [83][1480/3757] lr: 1.0000e-04 eta: 4:22:23 time: 0.2291 data_time: 0.0223 memory: 6108 grad_norm: 8.4161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/07/23 12:10:44 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 1.0000e-04 eta: 4:22:18 time: 0.2314 data_time: 0.0225 memory: 6108 grad_norm: 8.9828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/07/23 12:10:49 - mmengine - INFO - Epoch(train) [83][1520/3757] lr: 1.0000e-04 eta: 4:22:13 time: 0.2432 data_time: 0.0213 memory: 6108 grad_norm: 9.0009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3275 loss: 1.3275 2022/07/23 12:10:53 - mmengine - INFO - Epoch(train) [83][1540/3757] lr: 1.0000e-04 eta: 4:22:08 time: 0.2272 data_time: 0.0246 memory: 6108 grad_norm: 8.8796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1413 loss: 1.1413 2022/07/23 12:10:58 - mmengine - INFO - Epoch(train) [83][1560/3757] lr: 1.0000e-04 eta: 4:22:03 time: 0.2386 data_time: 0.0259 memory: 6108 grad_norm: 8.9174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2005 loss: 1.2005 2022/07/23 12:11:03 - mmengine - INFO - Epoch(train) [83][1580/3757] lr: 1.0000e-04 eta: 4:21:59 time: 0.2275 data_time: 0.0200 memory: 6108 grad_norm: 8.9018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/07/23 12:11:08 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 1.0000e-04 eta: 4:21:54 time: 0.2333 data_time: 0.0223 memory: 6108 grad_norm: 9.0768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/07/23 12:11:12 - mmengine - INFO - Epoch(train) [83][1620/3757] lr: 1.0000e-04 eta: 4:21:49 time: 0.2258 data_time: 0.0193 memory: 6108 grad_norm: 9.0429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/07/23 12:11:17 - mmengine - INFO - Epoch(train) [83][1640/3757] lr: 1.0000e-04 eta: 4:21:44 time: 0.2345 data_time: 0.0205 memory: 6108 grad_norm: 8.9851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2361 loss: 1.2361 2022/07/23 12:11:22 - mmengine - INFO - Epoch(train) [83][1660/3757] lr: 1.0000e-04 eta: 4:21:40 time: 0.2320 data_time: 0.0248 memory: 6108 grad_norm: 8.5081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0040 loss: 1.0040 2022/07/23 12:11:26 - mmengine - INFO - Epoch(train) [83][1680/3757] lr: 1.0000e-04 eta: 4:21:35 time: 0.2364 data_time: 0.0268 memory: 6108 grad_norm: 9.0022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4616 loss: 1.4616 2022/07/23 12:11:31 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 1.0000e-04 eta: 4:21:30 time: 0.2265 data_time: 0.0243 memory: 6108 grad_norm: 9.2109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9991 loss: 0.9991 2022/07/23 12:11:36 - mmengine - INFO - Epoch(train) [83][1720/3757] lr: 1.0000e-04 eta: 4:21:25 time: 0.2359 data_time: 0.0212 memory: 6108 grad_norm: 8.9143 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2179 loss: 1.2179 2022/07/23 12:11:40 - mmengine - INFO - Epoch(train) [83][1740/3757] lr: 1.0000e-04 eta: 4:21:20 time: 0.2335 data_time: 0.0271 memory: 6108 grad_norm: 8.9217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1831 loss: 1.1831 2022/07/23 12:11:45 - mmengine - INFO - Epoch(train) [83][1760/3757] lr: 1.0000e-04 eta: 4:21:16 time: 0.2324 data_time: 0.0217 memory: 6108 grad_norm: 9.5532 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3601 loss: 1.3601 2022/07/23 12:11:50 - mmengine - INFO - Epoch(train) [83][1780/3757] lr: 1.0000e-04 eta: 4:21:11 time: 0.2341 data_time: 0.0195 memory: 6108 grad_norm: 8.9833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/07/23 12:11:54 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 1.0000e-04 eta: 4:21:06 time: 0.2309 data_time: 0.0200 memory: 6108 grad_norm: 9.0528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/07/23 12:11:59 - mmengine - INFO - Epoch(train) [83][1820/3757] lr: 1.0000e-04 eta: 4:21:01 time: 0.2428 data_time: 0.0197 memory: 6108 grad_norm: 8.8712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2674 loss: 1.2674 2022/07/23 12:12:04 - mmengine - INFO - Epoch(train) [83][1840/3757] lr: 1.0000e-04 eta: 4:20:57 time: 0.2338 data_time: 0.0250 memory: 6108 grad_norm: 8.9576 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/07/23 12:12:09 - mmengine - INFO - Epoch(train) [83][1860/3757] lr: 1.0000e-04 eta: 4:20:52 time: 0.2342 data_time: 0.0250 memory: 6108 grad_norm: 8.8858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2172 loss: 1.2172 2022/07/23 12:12:13 - mmengine - INFO - Epoch(train) [83][1880/3757] lr: 1.0000e-04 eta: 4:20:47 time: 0.2327 data_time: 0.0238 memory: 6108 grad_norm: 8.9299 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/07/23 12:12:18 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 1.0000e-04 eta: 4:20:42 time: 0.2311 data_time: 0.0254 memory: 6108 grad_norm: 9.0187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2207 loss: 1.2207 2022/07/23 12:12:23 - mmengine - INFO - Epoch(train) [83][1920/3757] lr: 1.0000e-04 eta: 4:20:37 time: 0.2392 data_time: 0.0233 memory: 6108 grad_norm: 8.7740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0129 loss: 1.0129 2022/07/23 12:12:24 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:12:27 - mmengine - INFO - Epoch(train) [83][1940/3757] lr: 1.0000e-04 eta: 4:20:33 time: 0.2340 data_time: 0.0224 memory: 6108 grad_norm: 9.0020 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2017 loss: 1.2017 2022/07/23 12:12:32 - mmengine - INFO - Epoch(train) [83][1960/3757] lr: 1.0000e-04 eta: 4:20:28 time: 0.2284 data_time: 0.0272 memory: 6108 grad_norm: 9.2752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2017 loss: 1.2017 2022/07/23 12:12:37 - mmengine - INFO - Epoch(train) [83][1980/3757] lr: 1.0000e-04 eta: 4:20:23 time: 0.2454 data_time: 0.0281 memory: 6108 grad_norm: 9.1067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1942 loss: 1.1942 2022/07/23 12:12:42 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 1.0000e-04 eta: 4:20:18 time: 0.2331 data_time: 0.0223 memory: 6108 grad_norm: 8.8874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4113 loss: 1.4113 2022/07/23 12:12:47 - mmengine - INFO - Epoch(train) [83][2020/3757] lr: 1.0000e-04 eta: 4:20:14 time: 0.2395 data_time: 0.0200 memory: 6108 grad_norm: 8.8740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/07/23 12:12:51 - mmengine - INFO - Epoch(train) [83][2040/3757] lr: 1.0000e-04 eta: 4:20:09 time: 0.2304 data_time: 0.0246 memory: 6108 grad_norm: 8.9595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3830 loss: 1.3830 2022/07/23 12:12:56 - mmengine - INFO - Epoch(train) [83][2060/3757] lr: 1.0000e-04 eta: 4:20:04 time: 0.2317 data_time: 0.0192 memory: 6108 grad_norm: 8.9677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/07/23 12:13:01 - mmengine - INFO - Epoch(train) [83][2080/3757] lr: 1.0000e-04 eta: 4:19:59 time: 0.2384 data_time: 0.0230 memory: 6108 grad_norm: 9.2039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1586 loss: 1.1586 2022/07/23 12:13:05 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 1.0000e-04 eta: 4:19:54 time: 0.2291 data_time: 0.0274 memory: 6108 grad_norm: 8.5970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1420 loss: 1.1420 2022/07/23 12:13:10 - mmengine - INFO - Epoch(train) [83][2120/3757] lr: 1.0000e-04 eta: 4:19:50 time: 0.2301 data_time: 0.0223 memory: 6108 grad_norm: 8.5200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2990 loss: 1.2990 2022/07/23 12:13:15 - mmengine - INFO - Epoch(train) [83][2140/3757] lr: 1.0000e-04 eta: 4:19:45 time: 0.2318 data_time: 0.0231 memory: 6108 grad_norm: 8.9594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2893 loss: 1.2893 2022/07/23 12:13:20 - mmengine - INFO - Epoch(train) [83][2160/3757] lr: 1.0000e-04 eta: 4:19:40 time: 0.2747 data_time: 0.0212 memory: 6108 grad_norm: 8.9854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0120 loss: 1.0120 2022/07/23 12:13:25 - mmengine - INFO - Epoch(train) [83][2180/3757] lr: 1.0000e-04 eta: 4:19:35 time: 0.2269 data_time: 0.0190 memory: 6108 grad_norm: 8.9839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0549 loss: 1.0549 2022/07/23 12:13:29 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 1.0000e-04 eta: 4:19:31 time: 0.2367 data_time: 0.0263 memory: 6108 grad_norm: 8.9727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/07/23 12:13:34 - mmengine - INFO - Epoch(train) [83][2220/3757] lr: 1.0000e-04 eta: 4:19:26 time: 0.2268 data_time: 0.0179 memory: 6108 grad_norm: 8.7126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8607 loss: 0.8607 2022/07/23 12:13:39 - mmengine - INFO - Epoch(train) [83][2240/3757] lr: 1.0000e-04 eta: 4:19:21 time: 0.2324 data_time: 0.0256 memory: 6108 grad_norm: 8.9400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0622 loss: 1.0622 2022/07/23 12:13:43 - mmengine - INFO - Epoch(train) [83][2260/3757] lr: 1.0000e-04 eta: 4:19:16 time: 0.2276 data_time: 0.0236 memory: 6108 grad_norm: 8.6950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/07/23 12:13:48 - mmengine - INFO - Epoch(train) [83][2280/3757] lr: 1.0000e-04 eta: 4:19:12 time: 0.2383 data_time: 0.0299 memory: 6108 grad_norm: 8.9514 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/07/23 12:13:53 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 1.0000e-04 eta: 4:19:07 time: 0.2316 data_time: 0.0251 memory: 6108 grad_norm: 8.8591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2216 loss: 1.2216 2022/07/23 12:13:57 - mmengine - INFO - Epoch(train) [83][2320/3757] lr: 1.0000e-04 eta: 4:19:02 time: 0.2356 data_time: 0.0234 memory: 6108 grad_norm: 8.9743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3696 loss: 1.3696 2022/07/23 12:14:02 - mmengine - INFO - Epoch(train) [83][2340/3757] lr: 1.0000e-04 eta: 4:18:57 time: 0.2310 data_time: 0.0191 memory: 6108 grad_norm: 9.1159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2872 loss: 1.2872 2022/07/23 12:14:07 - mmengine - INFO - Epoch(train) [83][2360/3757] lr: 1.0000e-04 eta: 4:18:52 time: 0.2435 data_time: 0.0229 memory: 6108 grad_norm: 9.0633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3358 loss: 1.3358 2022/07/23 12:14:12 - mmengine - INFO - Epoch(train) [83][2380/3757] lr: 1.0000e-04 eta: 4:18:48 time: 0.2288 data_time: 0.0265 memory: 6108 grad_norm: 8.6578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/23 12:14:16 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 1.0000e-04 eta: 4:18:43 time: 0.2360 data_time: 0.0206 memory: 6108 grad_norm: 8.9259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/07/23 12:14:21 - mmengine - INFO - Epoch(train) [83][2420/3757] lr: 1.0000e-04 eta: 4:18:38 time: 0.2321 data_time: 0.0244 memory: 6108 grad_norm: 9.0194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/07/23 12:14:26 - mmengine - INFO - Epoch(train) [83][2440/3757] lr: 1.0000e-04 eta: 4:18:33 time: 0.2313 data_time: 0.0228 memory: 6108 grad_norm: 8.8735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3585 loss: 1.3585 2022/07/23 12:14:30 - mmengine - INFO - Epoch(train) [83][2460/3757] lr: 1.0000e-04 eta: 4:18:29 time: 0.2349 data_time: 0.0216 memory: 6108 grad_norm: 9.0993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2434 loss: 1.2434 2022/07/23 12:14:35 - mmengine - INFO - Epoch(train) [83][2480/3757] lr: 1.0000e-04 eta: 4:18:24 time: 0.2267 data_time: 0.0210 memory: 6108 grad_norm: 9.0906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2662 loss: 1.2662 2022/07/23 12:14:40 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 1.0000e-04 eta: 4:18:19 time: 0.2372 data_time: 0.0254 memory: 6108 grad_norm: 9.0252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/07/23 12:14:44 - mmengine - INFO - Epoch(train) [83][2520/3757] lr: 1.0000e-04 eta: 4:18:14 time: 0.2285 data_time: 0.0193 memory: 6108 grad_norm: 8.8254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2832 loss: 1.2832 2022/07/23 12:14:49 - mmengine - INFO - Epoch(train) [83][2540/3757] lr: 1.0000e-04 eta: 4:18:09 time: 0.2334 data_time: 0.0189 memory: 6108 grad_norm: 9.0565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/07/23 12:14:54 - mmengine - INFO - Epoch(train) [83][2560/3757] lr: 1.0000e-04 eta: 4:18:05 time: 0.2359 data_time: 0.0241 memory: 6108 grad_norm: 8.9439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/07/23 12:14:59 - mmengine - INFO - Epoch(train) [83][2580/3757] lr: 1.0000e-04 eta: 4:18:00 time: 0.2411 data_time: 0.0210 memory: 6108 grad_norm: 8.9030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0115 loss: 1.0115 2022/07/23 12:15:03 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 1.0000e-04 eta: 4:17:55 time: 0.2321 data_time: 0.0219 memory: 6108 grad_norm: 8.8859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/07/23 12:15:08 - mmengine - INFO - Epoch(train) [83][2620/3757] lr: 1.0000e-04 eta: 4:17:50 time: 0.2371 data_time: 0.0232 memory: 6108 grad_norm: 8.9706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0125 loss: 1.0125 2022/07/23 12:15:13 - mmengine - INFO - Epoch(train) [83][2640/3757] lr: 1.0000e-04 eta: 4:17:46 time: 0.2294 data_time: 0.0226 memory: 6108 grad_norm: 9.1566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2715 loss: 1.2715 2022/07/23 12:15:17 - mmengine - INFO - Epoch(train) [83][2660/3757] lr: 1.0000e-04 eta: 4:17:41 time: 0.2290 data_time: 0.0234 memory: 6108 grad_norm: 8.8522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/07/23 12:15:22 - mmengine - INFO - Epoch(train) [83][2680/3757] lr: 1.0000e-04 eta: 4:17:36 time: 0.2372 data_time: 0.0244 memory: 6108 grad_norm: 8.9650 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2516 loss: 1.2516 2022/07/23 12:15:27 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 1.0000e-04 eta: 4:17:31 time: 0.2314 data_time: 0.0162 memory: 6108 grad_norm: 9.0424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3535 loss: 1.3535 2022/07/23 12:15:31 - mmengine - INFO - Epoch(train) [83][2720/3757] lr: 1.0000e-04 eta: 4:17:26 time: 0.2321 data_time: 0.0238 memory: 6108 grad_norm: 8.9259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/07/23 12:15:36 - mmengine - INFO - Epoch(train) [83][2740/3757] lr: 1.0000e-04 eta: 4:17:22 time: 0.2283 data_time: 0.0218 memory: 6108 grad_norm: 8.7365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9136 loss: 0.9136 2022/07/23 12:15:41 - mmengine - INFO - Epoch(train) [83][2760/3757] lr: 1.0000e-04 eta: 4:17:17 time: 0.2378 data_time: 0.0312 memory: 6108 grad_norm: 8.6499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3640 loss: 1.3640 2022/07/23 12:15:45 - mmengine - INFO - Epoch(train) [83][2780/3757] lr: 1.0000e-04 eta: 4:17:12 time: 0.2279 data_time: 0.0189 memory: 6108 grad_norm: 8.6593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/07/23 12:15:50 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 1.0000e-04 eta: 4:17:07 time: 0.2430 data_time: 0.0233 memory: 6108 grad_norm: 8.7647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7571 loss: 0.7571 2022/07/23 12:15:55 - mmengine - INFO - Epoch(train) [83][2820/3757] lr: 1.0000e-04 eta: 4:17:03 time: 0.2271 data_time: 0.0237 memory: 6108 grad_norm: 8.7757 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/07/23 12:15:59 - mmengine - INFO - Epoch(train) [83][2840/3757] lr: 1.0000e-04 eta: 4:16:58 time: 0.2289 data_time: 0.0236 memory: 6108 grad_norm: 8.5735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1826 loss: 1.1826 2022/07/23 12:16:04 - mmengine - INFO - Epoch(train) [83][2860/3757] lr: 1.0000e-04 eta: 4:16:53 time: 0.2308 data_time: 0.0254 memory: 6108 grad_norm: 9.0511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0037 loss: 1.0037 2022/07/23 12:16:09 - mmengine - INFO - Epoch(train) [83][2880/3757] lr: 1.0000e-04 eta: 4:16:48 time: 0.2363 data_time: 0.0211 memory: 6108 grad_norm: 9.1645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/07/23 12:16:13 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 1.0000e-04 eta: 4:16:43 time: 0.2304 data_time: 0.0201 memory: 6108 grad_norm: 8.7171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/07/23 12:16:18 - mmengine - INFO - Epoch(train) [83][2920/3757] lr: 1.0000e-04 eta: 4:16:39 time: 0.2359 data_time: 0.0288 memory: 6108 grad_norm: 8.8329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9211 loss: 0.9211 2022/07/23 12:16:20 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:16:23 - mmengine - INFO - Epoch(train) [83][2940/3757] lr: 1.0000e-04 eta: 4:16:34 time: 0.2376 data_time: 0.0219 memory: 6108 grad_norm: 8.6899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0557 loss: 1.0557 2022/07/23 12:16:28 - mmengine - INFO - Epoch(train) [83][2960/3757] lr: 1.0000e-04 eta: 4:16:29 time: 0.2659 data_time: 0.0660 memory: 6108 grad_norm: 9.1637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3956 loss: 1.3956 2022/07/23 12:16:33 - mmengine - INFO - Epoch(train) [83][2980/3757] lr: 1.0000e-04 eta: 4:16:24 time: 0.2296 data_time: 0.0255 memory: 6108 grad_norm: 8.9911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/07/23 12:16:38 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 1.0000e-04 eta: 4:16:20 time: 0.2364 data_time: 0.0203 memory: 6108 grad_norm: 8.8123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/07/23 12:16:42 - mmengine - INFO - Epoch(train) [83][3020/3757] lr: 1.0000e-04 eta: 4:16:15 time: 0.2336 data_time: 0.0272 memory: 6108 grad_norm: 8.7520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/07/23 12:16:47 - mmengine - INFO - Epoch(train) [83][3040/3757] lr: 1.0000e-04 eta: 4:16:10 time: 0.2289 data_time: 0.0226 memory: 6108 grad_norm: 8.6130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0731 loss: 1.0731 2022/07/23 12:16:52 - mmengine - INFO - Epoch(train) [83][3060/3757] lr: 1.0000e-04 eta: 4:16:05 time: 0.2325 data_time: 0.0226 memory: 6108 grad_norm: 9.0701 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2912 loss: 1.2912 2022/07/23 12:16:56 - mmengine - INFO - Epoch(train) [83][3080/3757] lr: 1.0000e-04 eta: 4:16:00 time: 0.2345 data_time: 0.0273 memory: 6108 grad_norm: 8.7638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1757 loss: 1.1757 2022/07/23 12:17:01 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 1.0000e-04 eta: 4:15:56 time: 0.2345 data_time: 0.0229 memory: 6108 grad_norm: 9.2734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/07/23 12:17:06 - mmengine - INFO - Epoch(train) [83][3120/3757] lr: 1.0000e-04 eta: 4:15:51 time: 0.2322 data_time: 0.0229 memory: 6108 grad_norm: 8.4250 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8998 loss: 0.8998 2022/07/23 12:17:10 - mmengine - INFO - Epoch(train) [83][3140/3757] lr: 1.0000e-04 eta: 4:15:46 time: 0.2318 data_time: 0.0241 memory: 6108 grad_norm: 9.0983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/07/23 12:17:15 - mmengine - INFO - Epoch(train) [83][3160/3757] lr: 1.0000e-04 eta: 4:15:41 time: 0.2319 data_time: 0.0233 memory: 6108 grad_norm: 9.0129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/07/23 12:17:20 - mmengine - INFO - Epoch(train) [83][3180/3757] lr: 1.0000e-04 eta: 4:15:37 time: 0.2448 data_time: 0.0236 memory: 6108 grad_norm: 8.8779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8883 loss: 0.8883 2022/07/23 12:17:25 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 1.0000e-04 eta: 4:15:32 time: 0.2303 data_time: 0.0290 memory: 6108 grad_norm: 8.8227 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1366 loss: 1.1366 2022/07/23 12:17:29 - mmengine - INFO - Epoch(train) [83][3220/3757] lr: 1.0000e-04 eta: 4:15:27 time: 0.2367 data_time: 0.0220 memory: 6108 grad_norm: 9.1037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2472 loss: 1.2472 2022/07/23 12:17:34 - mmengine - INFO - Epoch(train) [83][3240/3757] lr: 1.0000e-04 eta: 4:15:22 time: 0.2265 data_time: 0.0239 memory: 6108 grad_norm: 9.1010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/07/23 12:17:39 - mmengine - INFO - Epoch(train) [83][3260/3757] lr: 1.0000e-04 eta: 4:15:18 time: 0.2418 data_time: 0.0265 memory: 6108 grad_norm: 9.0079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/07/23 12:17:44 - mmengine - INFO - Epoch(train) [83][3280/3757] lr: 1.0000e-04 eta: 4:15:13 time: 0.2333 data_time: 0.0277 memory: 6108 grad_norm: 8.7852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/07/23 12:17:48 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 1.0000e-04 eta: 4:15:08 time: 0.2284 data_time: 0.0189 memory: 6108 grad_norm: 8.5967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/07/23 12:17:53 - mmengine - INFO - Epoch(train) [83][3320/3757] lr: 1.0000e-04 eta: 4:15:03 time: 0.2286 data_time: 0.0211 memory: 6108 grad_norm: 8.7987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0454 loss: 1.0454 2022/07/23 12:17:58 - mmengine - INFO - Epoch(train) [83][3340/3757] lr: 1.0000e-04 eta: 4:14:58 time: 0.2445 data_time: 0.0221 memory: 6108 grad_norm: 8.7243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3807 loss: 1.3807 2022/07/23 12:18:02 - mmengine - INFO - Epoch(train) [83][3360/3757] lr: 1.0000e-04 eta: 4:14:54 time: 0.2306 data_time: 0.0186 memory: 6108 grad_norm: 8.6760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1057 loss: 1.1057 2022/07/23 12:18:07 - mmengine - INFO - Epoch(train) [83][3380/3757] lr: 1.0000e-04 eta: 4:14:49 time: 0.2253 data_time: 0.0236 memory: 6108 grad_norm: 8.8254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2013 loss: 1.2013 2022/07/23 12:18:12 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 1.0000e-04 eta: 4:14:44 time: 0.2344 data_time: 0.0311 memory: 6108 grad_norm: 8.5335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/07/23 12:18:16 - mmengine - INFO - Epoch(train) [83][3420/3757] lr: 1.0000e-04 eta: 4:14:39 time: 0.2398 data_time: 0.0237 memory: 6108 grad_norm: 9.0475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2522 loss: 1.2522 2022/07/23 12:18:21 - mmengine - INFO - Epoch(train) [83][3440/3757] lr: 1.0000e-04 eta: 4:14:34 time: 0.2310 data_time: 0.0216 memory: 6108 grad_norm: 9.1138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2577 loss: 1.2577 2022/07/23 12:18:26 - mmengine - INFO - Epoch(train) [83][3460/3757] lr: 1.0000e-04 eta: 4:14:30 time: 0.2302 data_time: 0.0239 memory: 6108 grad_norm: 8.9004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1301 loss: 1.1301 2022/07/23 12:18:30 - mmengine - INFO - Epoch(train) [83][3480/3757] lr: 1.0000e-04 eta: 4:14:25 time: 0.2256 data_time: 0.0227 memory: 6108 grad_norm: 9.1698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2051 loss: 1.2051 2022/07/23 12:18:35 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 1.0000e-04 eta: 4:14:20 time: 0.2448 data_time: 0.0291 memory: 6108 grad_norm: 8.6620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1073 loss: 1.1073 2022/07/23 12:18:40 - mmengine - INFO - Epoch(train) [83][3520/3757] lr: 1.0000e-04 eta: 4:14:15 time: 0.2390 data_time: 0.0233 memory: 6108 grad_norm: 9.0767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1403 loss: 1.1403 2022/07/23 12:18:45 - mmengine - INFO - Epoch(train) [83][3540/3757] lr: 1.0000e-04 eta: 4:14:11 time: 0.2330 data_time: 0.0269 memory: 6108 grad_norm: 9.0919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9435 loss: 0.9435 2022/07/23 12:18:49 - mmengine - INFO - Epoch(train) [83][3560/3757] lr: 1.0000e-04 eta: 4:14:06 time: 0.2343 data_time: 0.0251 memory: 6108 grad_norm: 8.9740 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/07/23 12:18:54 - mmengine - INFO - Epoch(train) [83][3580/3757] lr: 1.0000e-04 eta: 4:14:01 time: 0.2394 data_time: 0.0232 memory: 6108 grad_norm: 8.7513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9924 loss: 0.9924 2022/07/23 12:18:59 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 1.0000e-04 eta: 4:13:56 time: 0.2333 data_time: 0.0207 memory: 6108 grad_norm: 9.1111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/07/23 12:19:03 - mmengine - INFO - Epoch(train) [83][3620/3757] lr: 1.0000e-04 eta: 4:13:52 time: 0.2309 data_time: 0.0259 memory: 6108 grad_norm: 9.2169 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/07/23 12:19:08 - mmengine - INFO - Epoch(train) [83][3640/3757] lr: 1.0000e-04 eta: 4:13:47 time: 0.2356 data_time: 0.0221 memory: 6108 grad_norm: 8.9733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3341 loss: 1.3341 2022/07/23 12:19:13 - mmengine - INFO - Epoch(train) [83][3660/3757] lr: 1.0000e-04 eta: 4:13:42 time: 0.2331 data_time: 0.0248 memory: 6108 grad_norm: 8.6093 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0923 loss: 1.0923 2022/07/23 12:19:18 - mmengine - INFO - Epoch(train) [83][3680/3757] lr: 1.0000e-04 eta: 4:13:37 time: 0.2326 data_time: 0.0229 memory: 6108 grad_norm: 8.5642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1515 loss: 1.1515 2022/07/23 12:19:22 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 1.0000e-04 eta: 4:13:32 time: 0.2295 data_time: 0.0260 memory: 6108 grad_norm: 9.1957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2240 loss: 1.2240 2022/07/23 12:19:27 - mmengine - INFO - Epoch(train) [83][3720/3757] lr: 1.0000e-04 eta: 4:13:28 time: 0.2358 data_time: 0.0239 memory: 6108 grad_norm: 9.0077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1756 loss: 1.1756 2022/07/23 12:19:32 - mmengine - INFO - Epoch(train) [83][3740/3757] lr: 1.0000e-04 eta: 4:13:23 time: 0.2299 data_time: 0.0278 memory: 6108 grad_norm: 8.7572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/23 12:19:35 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:19:35 - mmengine - INFO - Epoch(train) [83][3757/3757] lr: 1.0000e-04 eta: 4:13:23 time: 0.1998 data_time: 0.0215 memory: 6108 grad_norm: 8.9218 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1662 loss: 1.1662 2022/07/23 12:19:40 - mmengine - INFO - Epoch(val) [83][20/310] eta: 0:01:20 time: 0.2759 data_time: 0.1956 memory: 1428 2022/07/23 12:19:44 - mmengine - INFO - Epoch(val) [83][40/310] eta: 0:00:51 time: 0.1915 data_time: 0.1099 memory: 1428 2022/07/23 12:19:49 - mmengine - INFO - Epoch(val) [83][60/310] eta: 0:00:55 time: 0.2238 data_time: 0.1453 memory: 1428 2022/07/23 12:19:52 - mmengine - INFO - Epoch(val) [83][80/310] eta: 0:00:41 time: 0.1797 data_time: 0.1040 memory: 1428 2022/07/23 12:19:57 - mmengine - INFO - Epoch(val) [83][100/310] eta: 0:00:52 time: 0.2494 data_time: 0.1705 memory: 1428 2022/07/23 12:20:01 - mmengine - INFO - Epoch(val) [83][120/310] eta: 0:00:38 time: 0.2027 data_time: 0.1201 memory: 1428 2022/07/23 12:20:06 - mmengine - INFO - Epoch(val) [83][140/310] eta: 0:00:41 time: 0.2417 data_time: 0.1648 memory: 1428 2022/07/23 12:20:10 - mmengine - INFO - Epoch(val) [83][160/310] eta: 0:00:28 time: 0.1888 data_time: 0.1102 memory: 1428 2022/07/23 12:20:15 - mmengine - INFO - Epoch(val) [83][180/310] eta: 0:00:32 time: 0.2468 data_time: 0.1720 memory: 1428 2022/07/23 12:20:19 - mmengine - INFO - Epoch(val) [83][200/310] eta: 0:00:20 time: 0.1868 data_time: 0.1090 memory: 1428 2022/07/23 12:20:23 - mmengine - INFO - Epoch(val) [83][220/310] eta: 0:00:20 time: 0.2325 data_time: 0.1549 memory: 1428 2022/07/23 12:20:27 - mmengine - INFO - Epoch(val) [83][240/310] eta: 0:00:12 time: 0.1841 data_time: 0.1090 memory: 1428 2022/07/23 12:20:32 - mmengine - INFO - Epoch(val) [83][260/310] eta: 0:00:11 time: 0.2359 data_time: 0.1617 memory: 1428 2022/07/23 12:20:35 - mmengine - INFO - Epoch(val) [83][280/310] eta: 0:00:05 time: 0.1805 data_time: 0.1049 memory: 1428 2022/07/23 12:20:40 - mmengine - INFO - Epoch(val) [83][300/310] eta: 0:00:02 time: 0.2386 data_time: 0.1677 memory: 1428 2022/07/23 12:20:43 - mmengine - INFO - Epoch(val) [83][310/310] acc/top1: 0.6650 acc/top5: 0.8652 acc/mean1: 0.6649 2022/07/23 12:20:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_83.pth is removed 2022/07/23 12:20:45 - mmengine - INFO - The best checkpoint with 0.6650 acc/top1 at 84 epoch is saved to best_acc/top1_epoch_84.pth. 2022/07/23 12:20:51 - mmengine - INFO - Epoch(train) [84][20/3757] lr: 1.0000e-04 eta: 4:13:13 time: 0.2782 data_time: 0.0826 memory: 6108 grad_norm: 8.9963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/07/23 12:20:56 - mmengine - INFO - Epoch(train) [84][40/3757] lr: 1.0000e-04 eta: 4:13:09 time: 0.2295 data_time: 0.0220 memory: 6108 grad_norm: 9.1866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2474 loss: 1.2474 2022/07/23 12:21:01 - mmengine - INFO - Epoch(train) [84][60/3757] lr: 1.0000e-04 eta: 4:13:04 time: 0.2455 data_time: 0.0391 memory: 6108 grad_norm: 8.6740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2428 loss: 1.2428 2022/07/23 12:21:05 - mmengine - INFO - Epoch(train) [84][80/3757] lr: 1.0000e-04 eta: 4:12:59 time: 0.2254 data_time: 0.0171 memory: 6108 grad_norm: 8.9040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0317 loss: 1.0317 2022/07/23 12:21:10 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 1.0000e-04 eta: 4:12:54 time: 0.2495 data_time: 0.0330 memory: 6108 grad_norm: 8.8440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/07/23 12:21:15 - mmengine - INFO - Epoch(train) [84][120/3757] lr: 1.0000e-04 eta: 4:12:50 time: 0.2319 data_time: 0.0213 memory: 6108 grad_norm: 9.4797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2553 loss: 1.2553 2022/07/23 12:21:20 - mmengine - INFO - Epoch(train) [84][140/3757] lr: 1.0000e-04 eta: 4:12:45 time: 0.2331 data_time: 0.0211 memory: 6108 grad_norm: 8.8558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2345 loss: 1.2345 2022/07/23 12:21:24 - mmengine - INFO - Epoch(train) [84][160/3757] lr: 1.0000e-04 eta: 4:12:40 time: 0.2334 data_time: 0.0226 memory: 6108 grad_norm: 9.1675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/07/23 12:21:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:21:29 - mmengine - INFO - Epoch(train) [84][180/3757] lr: 1.0000e-04 eta: 4:12:35 time: 0.2486 data_time: 0.0423 memory: 6108 grad_norm: 8.8707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/07/23 12:21:34 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 1.0000e-04 eta: 4:12:30 time: 0.2331 data_time: 0.0212 memory: 6108 grad_norm: 8.9933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1790 loss: 1.1790 2022/07/23 12:21:39 - mmengine - INFO - Epoch(train) [84][220/3757] lr: 1.0000e-04 eta: 4:12:26 time: 0.2289 data_time: 0.0260 memory: 6108 grad_norm: 9.0575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/07/23 12:21:43 - mmengine - INFO - Epoch(train) [84][240/3757] lr: 1.0000e-04 eta: 4:12:21 time: 0.2293 data_time: 0.0249 memory: 6108 grad_norm: 8.7994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0349 loss: 1.0349 2022/07/23 12:21:48 - mmengine - INFO - Epoch(train) [84][260/3757] lr: 1.0000e-04 eta: 4:12:16 time: 0.2465 data_time: 0.0222 memory: 6108 grad_norm: 8.8532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2097 loss: 1.2097 2022/07/23 12:21:53 - mmengine - INFO - Epoch(train) [84][280/3757] lr: 1.0000e-04 eta: 4:12:11 time: 0.2316 data_time: 0.0199 memory: 6108 grad_norm: 8.7253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8818 loss: 0.8818 2022/07/23 12:21:57 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 1.0000e-04 eta: 4:12:07 time: 0.2282 data_time: 0.0227 memory: 6108 grad_norm: 8.7889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/07/23 12:22:03 - mmengine - INFO - Epoch(train) [84][320/3757] lr: 1.0000e-04 eta: 4:12:02 time: 0.2549 data_time: 0.0208 memory: 6108 grad_norm: 8.5629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/07/23 12:22:07 - mmengine - INFO - Epoch(train) [84][340/3757] lr: 1.0000e-04 eta: 4:11:57 time: 0.2255 data_time: 0.0209 memory: 6108 grad_norm: 8.4523 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2657 loss: 1.2657 2022/07/23 12:22:12 - mmengine - INFO - Epoch(train) [84][360/3757] lr: 1.0000e-04 eta: 4:11:52 time: 0.2277 data_time: 0.0248 memory: 6108 grad_norm: 8.8706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/07/23 12:22:16 - mmengine - INFO - Epoch(train) [84][380/3757] lr: 1.0000e-04 eta: 4:11:48 time: 0.2301 data_time: 0.0218 memory: 6108 grad_norm: 8.5368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9203 loss: 0.9203 2022/07/23 12:22:21 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 1.0000e-04 eta: 4:11:43 time: 0.2332 data_time: 0.0207 memory: 6108 grad_norm: 9.0509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9501 loss: 0.9501 2022/07/23 12:22:26 - mmengine - INFO - Epoch(train) [84][420/3757] lr: 1.0000e-04 eta: 4:11:38 time: 0.2313 data_time: 0.0288 memory: 6108 grad_norm: 9.0193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9797 loss: 0.9797 2022/07/23 12:22:30 - mmengine - INFO - Epoch(train) [84][440/3757] lr: 1.0000e-04 eta: 4:11:33 time: 0.2289 data_time: 0.0243 memory: 6108 grad_norm: 8.8933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0600 loss: 1.0600 2022/07/23 12:22:35 - mmengine - INFO - Epoch(train) [84][460/3757] lr: 1.0000e-04 eta: 4:11:28 time: 0.2400 data_time: 0.0317 memory: 6108 grad_norm: 8.8170 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1294 loss: 1.1294 2022/07/23 12:22:40 - mmengine - INFO - Epoch(train) [84][480/3757] lr: 1.0000e-04 eta: 4:11:24 time: 0.2460 data_time: 0.0231 memory: 6108 grad_norm: 8.7725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/07/23 12:22:45 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 1.0000e-04 eta: 4:11:19 time: 0.2305 data_time: 0.0236 memory: 6108 grad_norm: 8.9351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3176 loss: 1.3176 2022/07/23 12:22:49 - mmengine - INFO - Epoch(train) [84][520/3757] lr: 1.0000e-04 eta: 4:11:14 time: 0.2287 data_time: 0.0205 memory: 6108 grad_norm: 8.9439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4154 loss: 1.4154 2022/07/23 12:22:54 - mmengine - INFO - Epoch(train) [84][540/3757] lr: 1.0000e-04 eta: 4:11:09 time: 0.2322 data_time: 0.0222 memory: 6108 grad_norm: 9.3673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1333 loss: 1.1333 2022/07/23 12:22:59 - mmengine - INFO - Epoch(train) [84][560/3757] lr: 1.0000e-04 eta: 4:11:05 time: 0.2477 data_time: 0.0199 memory: 6108 grad_norm: 8.8471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2413 loss: 1.2413 2022/07/23 12:23:04 - mmengine - INFO - Epoch(train) [84][580/3757] lr: 1.0000e-04 eta: 4:11:00 time: 0.2292 data_time: 0.0245 memory: 6108 grad_norm: 9.3887 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4092 loss: 1.4092 2022/07/23 12:23:08 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 1.0000e-04 eta: 4:10:55 time: 0.2387 data_time: 0.0298 memory: 6108 grad_norm: 9.1525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/07/23 12:23:13 - mmengine - INFO - Epoch(train) [84][620/3757] lr: 1.0000e-04 eta: 4:10:50 time: 0.2261 data_time: 0.0223 memory: 6108 grad_norm: 8.5182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2506 loss: 1.2506 2022/07/23 12:23:18 - mmengine - INFO - Epoch(train) [84][640/3757] lr: 1.0000e-04 eta: 4:10:46 time: 0.2541 data_time: 0.0225 memory: 6108 grad_norm: 9.3614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2433 loss: 1.2433 2022/07/23 12:23:23 - mmengine - INFO - Epoch(train) [84][660/3757] lr: 1.0000e-04 eta: 4:10:41 time: 0.2293 data_time: 0.0210 memory: 6108 grad_norm: 8.7717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2493 loss: 1.2493 2022/07/23 12:23:27 - mmengine - INFO - Epoch(train) [84][680/3757] lr: 1.0000e-04 eta: 4:10:36 time: 0.2276 data_time: 0.0230 memory: 6108 grad_norm: 8.7851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/07/23 12:23:32 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 1.0000e-04 eta: 4:10:31 time: 0.2294 data_time: 0.0215 memory: 6108 grad_norm: 8.9269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3308 loss: 1.3308 2022/07/23 12:23:37 - mmengine - INFO - Epoch(train) [84][720/3757] lr: 1.0000e-04 eta: 4:10:26 time: 0.2420 data_time: 0.0267 memory: 6108 grad_norm: 9.0404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2924 loss: 1.2924 2022/07/23 12:23:41 - mmengine - INFO - Epoch(train) [84][740/3757] lr: 1.0000e-04 eta: 4:10:22 time: 0.2321 data_time: 0.0217 memory: 6108 grad_norm: 9.0324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2445 loss: 1.2445 2022/07/23 12:23:46 - mmengine - INFO - Epoch(train) [84][760/3757] lr: 1.0000e-04 eta: 4:10:17 time: 0.2308 data_time: 0.0202 memory: 6108 grad_norm: 8.9010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2882 loss: 1.2882 2022/07/23 12:23:51 - mmengine - INFO - Epoch(train) [84][780/3757] lr: 1.0000e-04 eta: 4:10:12 time: 0.2325 data_time: 0.0284 memory: 6108 grad_norm: 8.7515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2456 loss: 1.2456 2022/07/23 12:23:55 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 1.0000e-04 eta: 4:10:07 time: 0.2333 data_time: 0.0175 memory: 6108 grad_norm: 8.9255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/07/23 12:24:00 - mmengine - INFO - Epoch(train) [84][820/3757] lr: 1.0000e-04 eta: 4:10:03 time: 0.2541 data_time: 0.0231 memory: 6108 grad_norm: 8.9343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4616 loss: 1.4616 2022/07/23 12:24:05 - mmengine - INFO - Epoch(train) [84][840/3757] lr: 1.0000e-04 eta: 4:09:58 time: 0.2295 data_time: 0.0202 memory: 6108 grad_norm: 8.6112 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8707 loss: 0.8707 2022/07/23 12:24:10 - mmengine - INFO - Epoch(train) [84][860/3757] lr: 1.0000e-04 eta: 4:09:53 time: 0.2299 data_time: 0.0293 memory: 6108 grad_norm: 8.7402 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9914 loss: 0.9914 2022/07/23 12:24:14 - mmengine - INFO - Epoch(train) [84][880/3757] lr: 1.0000e-04 eta: 4:09:48 time: 0.2321 data_time: 0.0245 memory: 6108 grad_norm: 8.9752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/07/23 12:24:19 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 1.0000e-04 eta: 4:09:43 time: 0.2366 data_time: 0.0255 memory: 6108 grad_norm: 8.8793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0079 loss: 1.0079 2022/07/23 12:24:24 - mmengine - INFO - Epoch(train) [84][920/3757] lr: 1.0000e-04 eta: 4:09:39 time: 0.2284 data_time: 0.0239 memory: 6108 grad_norm: 8.8133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1728 loss: 1.1728 2022/07/23 12:24:28 - mmengine - INFO - Epoch(train) [84][940/3757] lr: 1.0000e-04 eta: 4:09:34 time: 0.2334 data_time: 0.0283 memory: 6108 grad_norm: 9.3060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3874 loss: 1.3874 2022/07/23 12:24:33 - mmengine - INFO - Epoch(train) [84][960/3757] lr: 1.0000e-04 eta: 4:09:29 time: 0.2315 data_time: 0.0243 memory: 6108 grad_norm: 9.0558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2770 loss: 1.2770 2022/07/23 12:24:38 - mmengine - INFO - Epoch(train) [84][980/3757] lr: 1.0000e-04 eta: 4:09:24 time: 0.2408 data_time: 0.0232 memory: 6108 grad_norm: 8.8109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2118 loss: 1.2118 2022/07/23 12:24:43 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 1.0000e-04 eta: 4:09:20 time: 0.2303 data_time: 0.0240 memory: 6108 grad_norm: 9.1617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0424 loss: 1.0424 2022/07/23 12:24:47 - mmengine - INFO - Epoch(train) [84][1020/3757] lr: 1.0000e-04 eta: 4:09:15 time: 0.2270 data_time: 0.0263 memory: 6108 grad_norm: 8.8286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/07/23 12:24:52 - mmengine - INFO - Epoch(train) [84][1040/3757] lr: 1.0000e-04 eta: 4:09:10 time: 0.2544 data_time: 0.0220 memory: 6108 grad_norm: 9.0525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3381 loss: 1.3381 2022/07/23 12:24:57 - mmengine - INFO - Epoch(train) [84][1060/3757] lr: 1.0000e-04 eta: 4:09:05 time: 0.2296 data_time: 0.0186 memory: 6108 grad_norm: 8.6727 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1961 loss: 1.1961 2022/07/23 12:25:02 - mmengine - INFO - Epoch(train) [84][1080/3757] lr: 1.0000e-04 eta: 4:09:00 time: 0.2368 data_time: 0.0266 memory: 6108 grad_norm: 9.2064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/07/23 12:25:06 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 1.0000e-04 eta: 4:08:56 time: 0.2393 data_time: 0.0219 memory: 6108 grad_norm: 9.0997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2232 loss: 1.2232 2022/07/23 12:25:11 - mmengine - INFO - Epoch(train) [84][1120/3757] lr: 1.0000e-04 eta: 4:08:51 time: 0.2263 data_time: 0.0181 memory: 6108 grad_norm: 8.9728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0508 loss: 1.0508 2022/07/23 12:25:16 - mmengine - INFO - Epoch(train) [84][1140/3757] lr: 1.0000e-04 eta: 4:08:46 time: 0.2304 data_time: 0.0282 memory: 6108 grad_norm: 8.9256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/07/23 12:25:21 - mmengine - INFO - Epoch(train) [84][1160/3757] lr: 1.0000e-04 eta: 4:08:41 time: 0.2444 data_time: 0.0199 memory: 6108 grad_norm: 8.8916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1356 loss: 1.1356 2022/07/23 12:25:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:25:25 - mmengine - INFO - Epoch(train) [84][1180/3757] lr: 1.0000e-04 eta: 4:08:37 time: 0.2327 data_time: 0.0174 memory: 6108 grad_norm: 9.0220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/07/23 12:25:30 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 1.0000e-04 eta: 4:08:32 time: 0.2324 data_time: 0.0216 memory: 6108 grad_norm: 8.4453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0720 loss: 1.0720 2022/07/23 12:25:35 - mmengine - INFO - Epoch(train) [84][1220/3757] lr: 1.0000e-04 eta: 4:08:27 time: 0.2295 data_time: 0.0196 memory: 6108 grad_norm: 8.9466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/07/23 12:25:39 - mmengine - INFO - Epoch(train) [84][1240/3757] lr: 1.0000e-04 eta: 4:08:22 time: 0.2289 data_time: 0.0228 memory: 6108 grad_norm: 9.0964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2176 loss: 1.2176 2022/07/23 12:25:44 - mmengine - INFO - Epoch(train) [84][1260/3757] lr: 1.0000e-04 eta: 4:08:17 time: 0.2301 data_time: 0.0211 memory: 6108 grad_norm: 8.6891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1181 loss: 1.1181 2022/07/23 12:25:49 - mmengine - INFO - Epoch(train) [84][1280/3757] lr: 1.0000e-04 eta: 4:08:13 time: 0.2489 data_time: 0.0437 memory: 6108 grad_norm: 8.8875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1178 loss: 1.1178 2022/07/23 12:25:53 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 1.0000e-04 eta: 4:08:08 time: 0.2312 data_time: 0.0168 memory: 6108 grad_norm: 8.7266 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2033 loss: 1.2033 2022/07/23 12:25:58 - mmengine - INFO - Epoch(train) [84][1320/3757] lr: 1.0000e-04 eta: 4:08:03 time: 0.2335 data_time: 0.0327 memory: 6108 grad_norm: 8.7354 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3364 loss: 1.3364 2022/07/23 12:26:03 - mmengine - INFO - Epoch(train) [84][1340/3757] lr: 1.0000e-04 eta: 4:07:58 time: 0.2300 data_time: 0.0236 memory: 6108 grad_norm: 8.5445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0909 loss: 1.0909 2022/07/23 12:26:08 - mmengine - INFO - Epoch(train) [84][1360/3757] lr: 1.0000e-04 eta: 4:07:54 time: 0.2364 data_time: 0.0194 memory: 6108 grad_norm: 9.0466 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0975 loss: 1.0975 2022/07/23 12:26:12 - mmengine - INFO - Epoch(train) [84][1380/3757] lr: 1.0000e-04 eta: 4:07:49 time: 0.2342 data_time: 0.0295 memory: 6108 grad_norm: 8.6232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0802 loss: 1.0802 2022/07/23 12:26:17 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 1.0000e-04 eta: 4:07:44 time: 0.2370 data_time: 0.0305 memory: 6108 grad_norm: 8.9056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2421 loss: 1.2421 2022/07/23 12:26:22 - mmengine - INFO - Epoch(train) [84][1420/3757] lr: 1.0000e-04 eta: 4:07:39 time: 0.2292 data_time: 0.0179 memory: 6108 grad_norm: 9.1352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8936 loss: 0.8936 2022/07/23 12:26:26 - mmengine - INFO - Epoch(train) [84][1440/3757] lr: 1.0000e-04 eta: 4:07:35 time: 0.2338 data_time: 0.0215 memory: 6108 grad_norm: 8.8858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2970 loss: 1.2970 2022/07/23 12:26:31 - mmengine - INFO - Epoch(train) [84][1460/3757] lr: 1.0000e-04 eta: 4:07:30 time: 0.2267 data_time: 0.0217 memory: 6108 grad_norm: 9.0441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4288 loss: 1.4288 2022/07/23 12:26:36 - mmengine - INFO - Epoch(train) [84][1480/3757] lr: 1.0000e-04 eta: 4:07:25 time: 0.2344 data_time: 0.0236 memory: 6108 grad_norm: 8.8342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3866 loss: 1.3866 2022/07/23 12:26:40 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 1.0000e-04 eta: 4:07:20 time: 0.2406 data_time: 0.0211 memory: 6108 grad_norm: 8.8805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9251 loss: 0.9251 2022/07/23 12:26:45 - mmengine - INFO - Epoch(train) [84][1520/3757] lr: 1.0000e-04 eta: 4:07:15 time: 0.2320 data_time: 0.0281 memory: 6108 grad_norm: 9.4177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/07/23 12:26:50 - mmengine - INFO - Epoch(train) [84][1540/3757] lr: 1.0000e-04 eta: 4:07:11 time: 0.2278 data_time: 0.0219 memory: 6108 grad_norm: 8.7175 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1615 loss: 1.1615 2022/07/23 12:26:54 - mmengine - INFO - Epoch(train) [84][1560/3757] lr: 1.0000e-04 eta: 4:07:06 time: 0.2303 data_time: 0.0246 memory: 6108 grad_norm: 8.8979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/07/23 12:26:59 - mmengine - INFO - Epoch(train) [84][1580/3757] lr: 1.0000e-04 eta: 4:07:01 time: 0.2344 data_time: 0.0284 memory: 6108 grad_norm: 8.7558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3453 loss: 1.3453 2022/07/23 12:27:04 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 1.0000e-04 eta: 4:06:56 time: 0.2307 data_time: 0.0277 memory: 6108 grad_norm: 9.0196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3573 loss: 1.3573 2022/07/23 12:27:08 - mmengine - INFO - Epoch(train) [84][1620/3757] lr: 1.0000e-04 eta: 4:06:51 time: 0.2331 data_time: 0.0238 memory: 6108 grad_norm: 8.8593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2955 loss: 1.2955 2022/07/23 12:27:14 - mmengine - INFO - Epoch(train) [84][1640/3757] lr: 1.0000e-04 eta: 4:06:47 time: 0.2578 data_time: 0.0216 memory: 6108 grad_norm: 8.8089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/07/23 12:27:18 - mmengine - INFO - Epoch(train) [84][1660/3757] lr: 1.0000e-04 eta: 4:06:42 time: 0.2292 data_time: 0.0169 memory: 6108 grad_norm: 9.1859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2892 loss: 1.2892 2022/07/23 12:27:23 - mmengine - INFO - Epoch(train) [84][1680/3757] lr: 1.0000e-04 eta: 4:06:37 time: 0.2288 data_time: 0.0210 memory: 6108 grad_norm: 8.9715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8717 loss: 0.8717 2022/07/23 12:27:27 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 1.0000e-04 eta: 4:06:32 time: 0.2300 data_time: 0.0231 memory: 6108 grad_norm: 8.5011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9690 loss: 0.9690 2022/07/23 12:27:32 - mmengine - INFO - Epoch(train) [84][1720/3757] lr: 1.0000e-04 eta: 4:06:28 time: 0.2285 data_time: 0.0248 memory: 6108 grad_norm: 9.0862 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1674 loss: 1.1674 2022/07/23 12:27:37 - mmengine - INFO - Epoch(train) [84][1740/3757] lr: 1.0000e-04 eta: 4:06:23 time: 0.2300 data_time: 0.0280 memory: 6108 grad_norm: 8.5312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1265 loss: 1.1265 2022/07/23 12:27:41 - mmengine - INFO - Epoch(train) [84][1760/3757] lr: 1.0000e-04 eta: 4:06:18 time: 0.2399 data_time: 0.0236 memory: 6108 grad_norm: 9.1782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8604 loss: 0.8604 2022/07/23 12:27:46 - mmengine - INFO - Epoch(train) [84][1780/3757] lr: 1.0000e-04 eta: 4:06:13 time: 0.2297 data_time: 0.0264 memory: 6108 grad_norm: 9.1791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/07/23 12:27:51 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 1.0000e-04 eta: 4:06:09 time: 0.2330 data_time: 0.0244 memory: 6108 grad_norm: 9.2173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/07/23 12:27:56 - mmengine - INFO - Epoch(train) [84][1820/3757] lr: 1.0000e-04 eta: 4:06:04 time: 0.2360 data_time: 0.0183 memory: 6108 grad_norm: 9.1439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/07/23 12:28:00 - mmengine - INFO - Epoch(train) [84][1840/3757] lr: 1.0000e-04 eta: 4:05:59 time: 0.2333 data_time: 0.0213 memory: 6108 grad_norm: 9.2920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2049 loss: 1.2049 2022/07/23 12:28:05 - mmengine - INFO - Epoch(train) [84][1860/3757] lr: 1.0000e-04 eta: 4:05:54 time: 0.2340 data_time: 0.0253 memory: 6108 grad_norm: 8.7431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2355 loss: 1.2355 2022/07/23 12:28:10 - mmengine - INFO - Epoch(train) [84][1880/3757] lr: 1.0000e-04 eta: 4:05:49 time: 0.2365 data_time: 0.0230 memory: 6108 grad_norm: 8.9722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/07/23 12:28:14 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 1.0000e-04 eta: 4:05:45 time: 0.2283 data_time: 0.0176 memory: 6108 grad_norm: 8.6856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9156 loss: 0.9156 2022/07/23 12:28:19 - mmengine - INFO - Epoch(train) [84][1920/3757] lr: 1.0000e-04 eta: 4:05:40 time: 0.2342 data_time: 0.0237 memory: 6108 grad_norm: 8.7248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/07/23 12:28:24 - mmengine - INFO - Epoch(train) [84][1940/3757] lr: 1.0000e-04 eta: 4:05:35 time: 0.2333 data_time: 0.0236 memory: 6108 grad_norm: 9.1174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1558 loss: 1.1558 2022/07/23 12:28:28 - mmengine - INFO - Epoch(train) [84][1960/3757] lr: 1.0000e-04 eta: 4:05:30 time: 0.2286 data_time: 0.0233 memory: 6108 grad_norm: 9.0448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3134 loss: 1.3134 2022/07/23 12:28:33 - mmengine - INFO - Epoch(train) [84][1980/3757] lr: 1.0000e-04 eta: 4:05:26 time: 0.2319 data_time: 0.0269 memory: 6108 grad_norm: 9.1080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/07/23 12:28:38 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 1.0000e-04 eta: 4:05:21 time: 0.2400 data_time: 0.0194 memory: 6108 grad_norm: 8.8640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/07/23 12:28:43 - mmengine - INFO - Epoch(train) [84][2020/3757] lr: 1.0000e-04 eta: 4:05:16 time: 0.2403 data_time: 0.0223 memory: 6108 grad_norm: 8.8162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0977 loss: 1.0977 2022/07/23 12:28:47 - mmengine - INFO - Epoch(train) [84][2040/3757] lr: 1.0000e-04 eta: 4:05:11 time: 0.2306 data_time: 0.0223 memory: 6108 grad_norm: 8.6680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1366 loss: 1.1366 2022/07/23 12:28:52 - mmengine - INFO - Epoch(train) [84][2060/3757] lr: 1.0000e-04 eta: 4:05:06 time: 0.2423 data_time: 0.0220 memory: 6108 grad_norm: 8.8796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2092 loss: 1.2092 2022/07/23 12:28:57 - mmengine - INFO - Epoch(train) [84][2080/3757] lr: 1.0000e-04 eta: 4:05:02 time: 0.2369 data_time: 0.0241 memory: 6108 grad_norm: 8.9605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2276 loss: 1.2276 2022/07/23 12:29:02 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 1.0000e-04 eta: 4:04:57 time: 0.2349 data_time: 0.0191 memory: 6108 grad_norm: 9.2231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/07/23 12:29:06 - mmengine - INFO - Epoch(train) [84][2120/3757] lr: 1.0000e-04 eta: 4:04:52 time: 0.2305 data_time: 0.0208 memory: 6108 grad_norm: 8.8272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9626 loss: 0.9626 2022/07/23 12:29:11 - mmengine - INFO - Epoch(train) [84][2140/3757] lr: 1.0000e-04 eta: 4:04:47 time: 0.2352 data_time: 0.0199 memory: 6108 grad_norm: 8.9748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/07/23 12:29:16 - mmengine - INFO - Epoch(train) [84][2160/3757] lr: 1.0000e-04 eta: 4:04:43 time: 0.2294 data_time: 0.0215 memory: 6108 grad_norm: 8.6243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/07/23 12:29:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:29:20 - mmengine - INFO - Epoch(train) [84][2180/3757] lr: 1.0000e-04 eta: 4:04:38 time: 0.2327 data_time: 0.0232 memory: 6108 grad_norm: 9.0988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/07/23 12:29:25 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 1.0000e-04 eta: 4:04:33 time: 0.2306 data_time: 0.0198 memory: 6108 grad_norm: 8.7799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2846 loss: 1.2846 2022/07/23 12:29:30 - mmengine - INFO - Epoch(train) [84][2220/3757] lr: 1.0000e-04 eta: 4:04:28 time: 0.2358 data_time: 0.0261 memory: 6108 grad_norm: 9.0939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/07/23 12:29:34 - mmengine - INFO - Epoch(train) [84][2240/3757] lr: 1.0000e-04 eta: 4:04:23 time: 0.2321 data_time: 0.0222 memory: 6108 grad_norm: 8.7230 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0365 loss: 1.0365 2022/07/23 12:29:39 - mmengine - INFO - Epoch(train) [84][2260/3757] lr: 1.0000e-04 eta: 4:04:19 time: 0.2378 data_time: 0.0201 memory: 6108 grad_norm: 8.9308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1792 loss: 1.1792 2022/07/23 12:29:44 - mmengine - INFO - Epoch(train) [84][2280/3757] lr: 1.0000e-04 eta: 4:04:14 time: 0.2545 data_time: 0.0311 memory: 6108 grad_norm: 9.5107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/07/23 12:29:49 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 1.0000e-04 eta: 4:04:09 time: 0.2367 data_time: 0.0192 memory: 6108 grad_norm: 9.1178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9316 loss: 0.9316 2022/07/23 12:29:54 - mmengine - INFO - Epoch(train) [84][2320/3757] lr: 1.0000e-04 eta: 4:04:04 time: 0.2276 data_time: 0.0220 memory: 6108 grad_norm: 9.1451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3749 loss: 1.3749 2022/07/23 12:29:58 - mmengine - INFO - Epoch(train) [84][2340/3757] lr: 1.0000e-04 eta: 4:04:00 time: 0.2340 data_time: 0.0232 memory: 6108 grad_norm: 8.8198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/07/23 12:30:03 - mmengine - INFO - Epoch(train) [84][2360/3757] lr: 1.0000e-04 eta: 4:03:55 time: 0.2307 data_time: 0.0268 memory: 6108 grad_norm: 8.8340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1234 loss: 1.1234 2022/07/23 12:30:08 - mmengine - INFO - Epoch(train) [84][2380/3757] lr: 1.0000e-04 eta: 4:03:50 time: 0.2473 data_time: 0.0226 memory: 6108 grad_norm: 9.1122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9789 loss: 0.9789 2022/07/23 12:30:13 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 1.0000e-04 eta: 4:03:45 time: 0.2364 data_time: 0.0186 memory: 6108 grad_norm: 9.0007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/07/23 12:30:17 - mmengine - INFO - Epoch(train) [84][2420/3757] lr: 1.0000e-04 eta: 4:03:41 time: 0.2307 data_time: 0.0168 memory: 6108 grad_norm: 9.0164 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0102 loss: 1.0102 2022/07/23 12:30:22 - mmengine - INFO - Epoch(train) [84][2440/3757] lr: 1.0000e-04 eta: 4:03:36 time: 0.2309 data_time: 0.0216 memory: 6108 grad_norm: 9.2973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9346 loss: 0.9346 2022/07/23 12:30:27 - mmengine - INFO - Epoch(train) [84][2460/3757] lr: 1.0000e-04 eta: 4:03:31 time: 0.2282 data_time: 0.0230 memory: 6108 grad_norm: 8.6698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2579 loss: 1.2579 2022/07/23 12:30:32 - mmengine - INFO - Epoch(train) [84][2480/3757] lr: 1.0000e-04 eta: 4:03:26 time: 0.2493 data_time: 0.0280 memory: 6108 grad_norm: 9.1161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/07/23 12:30:36 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 1.0000e-04 eta: 4:03:22 time: 0.2292 data_time: 0.0198 memory: 6108 grad_norm: 9.0565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9839 loss: 0.9839 2022/07/23 12:30:41 - mmengine - INFO - Epoch(train) [84][2520/3757] lr: 1.0000e-04 eta: 4:03:17 time: 0.2331 data_time: 0.0256 memory: 6108 grad_norm: 8.6870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1001 loss: 1.1001 2022/07/23 12:30:46 - mmengine - INFO - Epoch(train) [84][2540/3757] lr: 1.0000e-04 eta: 4:03:12 time: 0.2346 data_time: 0.0211 memory: 6108 grad_norm: 9.4051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2673 loss: 1.2673 2022/07/23 12:30:51 - mmengine - INFO - Epoch(train) [84][2560/3757] lr: 1.0000e-04 eta: 4:03:07 time: 0.2583 data_time: 0.0186 memory: 6108 grad_norm: 8.7765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2260 loss: 1.2260 2022/07/23 12:30:56 - mmengine - INFO - Epoch(train) [84][2580/3757] lr: 1.0000e-04 eta: 4:03:03 time: 0.2332 data_time: 0.0245 memory: 6108 grad_norm: 8.9009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/07/23 12:31:00 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 1.0000e-04 eta: 4:02:58 time: 0.2302 data_time: 0.0208 memory: 6108 grad_norm: 8.8464 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3693 loss: 1.3693 2022/07/23 12:31:05 - mmengine - INFO - Epoch(train) [84][2620/3757] lr: 1.0000e-04 eta: 4:02:53 time: 0.2299 data_time: 0.0228 memory: 6108 grad_norm: 8.5500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0893 loss: 1.0893 2022/07/23 12:31:10 - mmengine - INFO - Epoch(train) [84][2640/3757] lr: 1.0000e-04 eta: 4:02:48 time: 0.2415 data_time: 0.0200 memory: 6108 grad_norm: 9.2446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/07/23 12:31:14 - mmengine - INFO - Epoch(train) [84][2660/3757] lr: 1.0000e-04 eta: 4:02:43 time: 0.2334 data_time: 0.0200 memory: 6108 grad_norm: 8.8897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1950 loss: 1.1950 2022/07/23 12:31:19 - mmengine - INFO - Epoch(train) [84][2680/3757] lr: 1.0000e-04 eta: 4:02:39 time: 0.2380 data_time: 0.0284 memory: 6108 grad_norm: 8.8526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/07/23 12:31:24 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 1.0000e-04 eta: 4:02:34 time: 0.2339 data_time: 0.0263 memory: 6108 grad_norm: 8.9893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1870 loss: 1.1870 2022/07/23 12:31:29 - mmengine - INFO - Epoch(train) [84][2720/3757] lr: 1.0000e-04 eta: 4:02:29 time: 0.2440 data_time: 0.0296 memory: 6108 grad_norm: 9.1011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2077 loss: 1.2077 2022/07/23 12:31:33 - mmengine - INFO - Epoch(train) [84][2740/3757] lr: 1.0000e-04 eta: 4:02:24 time: 0.2312 data_time: 0.0270 memory: 6108 grad_norm: 8.6802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2400 loss: 1.2400 2022/07/23 12:31:38 - mmengine - INFO - Epoch(train) [84][2760/3757] lr: 1.0000e-04 eta: 4:02:20 time: 0.2301 data_time: 0.0216 memory: 6108 grad_norm: 8.8695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3146 loss: 1.3146 2022/07/23 12:31:43 - mmengine - INFO - Epoch(train) [84][2780/3757] lr: 1.0000e-04 eta: 4:02:15 time: 0.2354 data_time: 0.0288 memory: 6108 grad_norm: 9.0360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/07/23 12:31:48 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 1.0000e-04 eta: 4:02:10 time: 0.2410 data_time: 0.0224 memory: 6108 grad_norm: 9.0200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2176 loss: 1.2176 2022/07/23 12:31:52 - mmengine - INFO - Epoch(train) [84][2820/3757] lr: 1.0000e-04 eta: 4:02:05 time: 0.2321 data_time: 0.0192 memory: 6108 grad_norm: 8.5732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0965 loss: 1.0965 2022/07/23 12:31:57 - mmengine - INFO - Epoch(train) [84][2840/3757] lr: 1.0000e-04 eta: 4:02:01 time: 0.2305 data_time: 0.0220 memory: 6108 grad_norm: 8.8808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/07/23 12:32:02 - mmengine - INFO - Epoch(train) [84][2860/3757] lr: 1.0000e-04 eta: 4:01:56 time: 0.2488 data_time: 0.0351 memory: 6108 grad_norm: 8.6836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0304 loss: 1.0304 2022/07/23 12:32:07 - mmengine - INFO - Epoch(train) [84][2880/3757] lr: 1.0000e-04 eta: 4:01:51 time: 0.2302 data_time: 0.0235 memory: 6108 grad_norm: 8.9749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1054 loss: 1.1054 2022/07/23 12:32:11 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 1.0000e-04 eta: 4:01:46 time: 0.2357 data_time: 0.0259 memory: 6108 grad_norm: 9.2071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0332 loss: 1.0332 2022/07/23 12:32:16 - mmengine - INFO - Epoch(train) [84][2920/3757] lr: 1.0000e-04 eta: 4:01:41 time: 0.2357 data_time: 0.0186 memory: 6108 grad_norm: 8.7453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9963 loss: 0.9963 2022/07/23 12:32:21 - mmengine - INFO - Epoch(train) [84][2940/3757] lr: 1.0000e-04 eta: 4:01:37 time: 0.2278 data_time: 0.0210 memory: 6108 grad_norm: 8.9684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3564 loss: 1.3564 2022/07/23 12:32:25 - mmengine - INFO - Epoch(train) [84][2960/3757] lr: 1.0000e-04 eta: 4:01:32 time: 0.2300 data_time: 0.0237 memory: 6108 grad_norm: 9.0546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4660 loss: 1.4660 2022/07/23 12:32:30 - mmengine - INFO - Epoch(train) [84][2980/3757] lr: 1.0000e-04 eta: 4:01:27 time: 0.2358 data_time: 0.0197 memory: 6108 grad_norm: 8.6879 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2632 loss: 1.2632 2022/07/23 12:32:35 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 1.0000e-04 eta: 4:01:22 time: 0.2288 data_time: 0.0253 memory: 6108 grad_norm: 8.9446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/07/23 12:32:39 - mmengine - INFO - Epoch(train) [84][3020/3757] lr: 1.0000e-04 eta: 4:01:18 time: 0.2276 data_time: 0.0238 memory: 6108 grad_norm: 9.0661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0358 loss: 1.0358 2022/07/23 12:32:44 - mmengine - INFO - Epoch(train) [84][3040/3757] lr: 1.0000e-04 eta: 4:01:13 time: 0.2396 data_time: 0.0306 memory: 6108 grad_norm: 9.1397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/07/23 12:32:49 - mmengine - INFO - Epoch(train) [84][3060/3757] lr: 1.0000e-04 eta: 4:01:08 time: 0.2421 data_time: 0.0250 memory: 6108 grad_norm: 8.8056 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/07/23 12:32:53 - mmengine - INFO - Epoch(train) [84][3080/3757] lr: 1.0000e-04 eta: 4:01:03 time: 0.2256 data_time: 0.0223 memory: 6108 grad_norm: 9.2189 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/23 12:32:58 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 1.0000e-04 eta: 4:00:58 time: 0.2321 data_time: 0.0212 memory: 6108 grad_norm: 9.0222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0738 loss: 1.0738 2022/07/23 12:33:03 - mmengine - INFO - Epoch(train) [84][3120/3757] lr: 1.0000e-04 eta: 4:00:54 time: 0.2332 data_time: 0.0289 memory: 6108 grad_norm: 9.1366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4627 loss: 1.4627 2022/07/23 12:33:08 - mmengine - INFO - Epoch(train) [84][3140/3757] lr: 1.0000e-04 eta: 4:00:49 time: 0.2598 data_time: 0.0238 memory: 6108 grad_norm: 8.7769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0746 loss: 1.0746 2022/07/23 12:33:13 - mmengine - INFO - Epoch(train) [84][3160/3757] lr: 1.0000e-04 eta: 4:00:44 time: 0.2229 data_time: 0.0188 memory: 6108 grad_norm: 9.1366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1267 loss: 1.1267 2022/07/23 12:33:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:33:17 - mmengine - INFO - Epoch(train) [84][3180/3757] lr: 1.0000e-04 eta: 4:00:39 time: 0.2341 data_time: 0.0198 memory: 6108 grad_norm: 8.9903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2517 loss: 1.2517 2022/07/23 12:33:22 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 1.0000e-04 eta: 4:00:35 time: 0.2432 data_time: 0.0196 memory: 6108 grad_norm: 9.0743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/07/23 12:33:27 - mmengine - INFO - Epoch(train) [84][3220/3757] lr: 1.0000e-04 eta: 4:00:30 time: 0.2269 data_time: 0.0220 memory: 6108 grad_norm: 9.0629 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1497 loss: 1.1497 2022/07/23 12:33:32 - mmengine - INFO - Epoch(train) [84][3240/3757] lr: 1.0000e-04 eta: 4:00:25 time: 0.2397 data_time: 0.0237 memory: 6108 grad_norm: 8.7178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1055 loss: 1.1055 2022/07/23 12:33:36 - mmengine - INFO - Epoch(train) [84][3260/3757] lr: 1.0000e-04 eta: 4:00:20 time: 0.2475 data_time: 0.0239 memory: 6108 grad_norm: 8.9931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0728 loss: 1.0728 2022/07/23 12:33:41 - mmengine - INFO - Epoch(train) [84][3280/3757] lr: 1.0000e-04 eta: 4:00:16 time: 0.2311 data_time: 0.0227 memory: 6108 grad_norm: 8.8018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2519 loss: 1.2519 2022/07/23 12:33:46 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 1.0000e-04 eta: 4:00:11 time: 0.2370 data_time: 0.0248 memory: 6108 grad_norm: 8.6123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/07/23 12:33:51 - mmengine - INFO - Epoch(train) [84][3320/3757] lr: 1.0000e-04 eta: 4:00:06 time: 0.2333 data_time: 0.0224 memory: 6108 grad_norm: 8.9663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2846 loss: 1.2846 2022/07/23 12:33:55 - mmengine - INFO - Epoch(train) [84][3340/3757] lr: 1.0000e-04 eta: 4:00:01 time: 0.2317 data_time: 0.0202 memory: 6108 grad_norm: 9.2524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1497 loss: 1.1497 2022/07/23 12:34:00 - mmengine - INFO - Epoch(train) [84][3360/3757] lr: 1.0000e-04 eta: 3:59:57 time: 0.2392 data_time: 0.0201 memory: 6108 grad_norm: 9.0075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3572 loss: 1.3572 2022/07/23 12:34:05 - mmengine - INFO - Epoch(train) [84][3380/3757] lr: 1.0000e-04 eta: 3:59:52 time: 0.2299 data_time: 0.0209 memory: 6108 grad_norm: 8.4767 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1512 loss: 1.1512 2022/07/23 12:34:09 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 1.0000e-04 eta: 3:59:47 time: 0.2329 data_time: 0.0169 memory: 6108 grad_norm: 9.0435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1938 loss: 1.1938 2022/07/23 12:34:14 - mmengine - INFO - Epoch(train) [84][3420/3757] lr: 1.0000e-04 eta: 3:59:42 time: 0.2326 data_time: 0.0265 memory: 6108 grad_norm: 8.8864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2309 loss: 1.2309 2022/07/23 12:34:19 - mmengine - INFO - Epoch(train) [84][3440/3757] lr: 1.0000e-04 eta: 3:59:37 time: 0.2502 data_time: 0.0200 memory: 6108 grad_norm: 8.9530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/07/23 12:34:24 - mmengine - INFO - Epoch(train) [84][3460/3757] lr: 1.0000e-04 eta: 3:59:33 time: 0.2284 data_time: 0.0228 memory: 6108 grad_norm: 8.8047 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0786 loss: 1.0786 2022/07/23 12:34:28 - mmengine - INFO - Epoch(train) [84][3480/3757] lr: 1.0000e-04 eta: 3:59:28 time: 0.2343 data_time: 0.0210 memory: 6108 grad_norm: 9.2602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1239 loss: 1.1239 2022/07/23 12:34:33 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 1.0000e-04 eta: 3:59:23 time: 0.2320 data_time: 0.0208 memory: 6108 grad_norm: 9.3332 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0050 loss: 1.0050 2022/07/23 12:34:38 - mmengine - INFO - Epoch(train) [84][3520/3757] lr: 1.0000e-04 eta: 3:59:18 time: 0.2352 data_time: 0.0207 memory: 6108 grad_norm: 9.2470 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2423 loss: 1.2423 2022/07/23 12:34:43 - mmengine - INFO - Epoch(train) [84][3540/3757] lr: 1.0000e-04 eta: 3:59:14 time: 0.2354 data_time: 0.0227 memory: 6108 grad_norm: 8.7458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2323 loss: 1.2323 2022/07/23 12:34:47 - mmengine - INFO - Epoch(train) [84][3560/3757] lr: 1.0000e-04 eta: 3:59:09 time: 0.2317 data_time: 0.0181 memory: 6108 grad_norm: 9.1531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/07/23 12:34:52 - mmengine - INFO - Epoch(train) [84][3580/3757] lr: 1.0000e-04 eta: 3:59:04 time: 0.2589 data_time: 0.0178 memory: 6108 grad_norm: 9.1300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/07/23 12:34:57 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 1.0000e-04 eta: 3:58:59 time: 0.2288 data_time: 0.0176 memory: 6108 grad_norm: 9.2876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3396 loss: 1.3396 2022/07/23 12:35:02 - mmengine - INFO - Epoch(train) [84][3620/3757] lr: 1.0000e-04 eta: 3:58:55 time: 0.2369 data_time: 0.0244 memory: 6108 grad_norm: 9.1242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5482 loss: 1.5482 2022/07/23 12:35:06 - mmengine - INFO - Epoch(train) [84][3640/3757] lr: 1.0000e-04 eta: 3:58:50 time: 0.2312 data_time: 0.0191 memory: 6108 grad_norm: 8.7383 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/07/23 12:35:11 - mmengine - INFO - Epoch(train) [84][3660/3757] lr: 1.0000e-04 eta: 3:58:45 time: 0.2419 data_time: 0.0256 memory: 6108 grad_norm: 9.0845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2845 loss: 1.2845 2022/07/23 12:35:16 - mmengine - INFO - Epoch(train) [84][3680/3757] lr: 1.0000e-04 eta: 3:58:40 time: 0.2309 data_time: 0.0265 memory: 6108 grad_norm: 9.1872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/07/23 12:35:21 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 1.0000e-04 eta: 3:58:35 time: 0.2320 data_time: 0.0222 memory: 6108 grad_norm: 8.8817 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9928 loss: 0.9928 2022/07/23 12:35:25 - mmengine - INFO - Epoch(train) [84][3720/3757] lr: 1.0000e-04 eta: 3:58:31 time: 0.2352 data_time: 0.0237 memory: 6108 grad_norm: 8.7488 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2698 loss: 1.2698 2022/07/23 12:35:30 - mmengine - INFO - Epoch(train) [84][3740/3757] lr: 1.0000e-04 eta: 3:58:26 time: 0.2364 data_time: 0.0243 memory: 6108 grad_norm: 9.1524 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/07/23 12:35:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:35:33 - mmengine - INFO - Epoch(train) [84][3757/3757] lr: 1.0000e-04 eta: 3:58:26 time: 0.1999 data_time: 0.0162 memory: 6108 grad_norm: 9.1000 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.2583 loss: 1.2583 2022/07/23 12:35:39 - mmengine - INFO - Epoch(val) [84][20/310] eta: 0:01:18 time: 0.2722 data_time: 0.1807 memory: 1428 2022/07/23 12:35:43 - mmengine - INFO - Epoch(val) [84][40/310] eta: 0:00:51 time: 0.1889 data_time: 0.1082 memory: 1428 2022/07/23 12:35:47 - mmengine - INFO - Epoch(val) [84][60/310] eta: 0:00:55 time: 0.2228 data_time: 0.1462 memory: 1428 2022/07/23 12:35:51 - mmengine - INFO - Epoch(val) [84][80/310] eta: 0:00:47 time: 0.2056 data_time: 0.1155 memory: 1428 2022/07/23 12:35:56 - mmengine - INFO - Epoch(val) [84][100/310] eta: 0:00:44 time: 0.2118 data_time: 0.1349 memory: 1428 2022/07/23 12:35:59 - mmengine - INFO - Epoch(val) [84][120/310] eta: 0:00:35 time: 0.1884 data_time: 0.1131 memory: 1428 2022/07/23 12:36:05 - mmengine - INFO - Epoch(val) [84][140/310] eta: 0:00:45 time: 0.2668 data_time: 0.1882 memory: 1428 2022/07/23 12:36:08 - mmengine - INFO - Epoch(val) [84][160/310] eta: 0:00:27 time: 0.1802 data_time: 0.1054 memory: 1428 2022/07/23 12:36:13 - mmengine - INFO - Epoch(val) [84][180/310] eta: 0:00:32 time: 0.2531 data_time: 0.1765 memory: 1428 2022/07/23 12:36:17 - mmengine - INFO - Epoch(val) [84][200/310] eta: 0:00:20 time: 0.1854 data_time: 0.1077 memory: 1428 2022/07/23 12:36:22 - mmengine - INFO - Epoch(val) [84][220/310] eta: 0:00:23 time: 0.2559 data_time: 0.1814 memory: 1428 2022/07/23 12:36:26 - mmengine - INFO - Epoch(val) [84][240/310] eta: 0:00:13 time: 0.1892 data_time: 0.1119 memory: 1428 2022/07/23 12:36:31 - mmengine - INFO - Epoch(val) [84][260/310] eta: 0:00:13 time: 0.2629 data_time: 0.1845 memory: 1428 2022/07/23 12:36:35 - mmengine - INFO - Epoch(val) [84][280/310] eta: 0:00:05 time: 0.1873 data_time: 0.1062 memory: 1428 2022/07/23 12:36:39 - mmengine - INFO - Epoch(val) [84][300/310] eta: 0:00:02 time: 0.2041 data_time: 0.1303 memory: 1428 2022/07/23 12:36:42 - mmengine - INFO - Epoch(val) [84][310/310] acc/top1: 0.6654 acc/top5: 0.8664 acc/mean1: 0.6654 2022/07/23 12:36:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_84.pth is removed 2022/07/23 12:36:44 - mmengine - INFO - The best checkpoint with 0.6654 acc/top1 at 85 epoch is saved to best_acc/top1_epoch_85.pth. 2022/07/23 12:36:50 - mmengine - INFO - Epoch(train) [85][20/3757] lr: 1.0000e-04 eta: 3:58:17 time: 0.2924 data_time: 0.0955 memory: 6108 grad_norm: 8.7475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/07/23 12:36:55 - mmengine - INFO - Epoch(train) [85][40/3757] lr: 1.0000e-04 eta: 3:58:12 time: 0.2368 data_time: 0.0181 memory: 6108 grad_norm: 8.7078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2683 loss: 1.2683 2022/07/23 12:36:59 - mmengine - INFO - Epoch(train) [85][60/3757] lr: 1.0000e-04 eta: 3:58:07 time: 0.2332 data_time: 0.0228 memory: 6108 grad_norm: 8.9398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1549 loss: 1.1549 2022/07/23 12:37:04 - mmengine - INFO - Epoch(train) [85][80/3757] lr: 1.0000e-04 eta: 3:58:02 time: 0.2303 data_time: 0.0229 memory: 6108 grad_norm: 9.1223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3745 loss: 1.3745 2022/07/23 12:37:09 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 1.0000e-04 eta: 3:57:57 time: 0.2358 data_time: 0.0251 memory: 6108 grad_norm: 8.8139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/23 12:37:14 - mmengine - INFO - Epoch(train) [85][120/3757] lr: 1.0000e-04 eta: 3:57:53 time: 0.2460 data_time: 0.0225 memory: 6108 grad_norm: 8.8814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2714 loss: 1.2714 2022/07/23 12:37:19 - mmengine - INFO - Epoch(train) [85][140/3757] lr: 1.0000e-04 eta: 3:57:48 time: 0.2397 data_time: 0.0245 memory: 6108 grad_norm: 9.1395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1825 loss: 1.1825 2022/07/23 12:37:23 - mmengine - INFO - Epoch(train) [85][160/3757] lr: 1.0000e-04 eta: 3:57:43 time: 0.2298 data_time: 0.0258 memory: 6108 grad_norm: 8.7425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2148 loss: 1.2148 2022/07/23 12:37:28 - mmengine - INFO - Epoch(train) [85][180/3757] lr: 1.0000e-04 eta: 3:57:38 time: 0.2365 data_time: 0.0294 memory: 6108 grad_norm: 8.7698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/07/23 12:37:33 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 1.0000e-04 eta: 3:57:34 time: 0.2367 data_time: 0.0254 memory: 6108 grad_norm: 9.0579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/07/23 12:37:37 - mmengine - INFO - Epoch(train) [85][220/3757] lr: 1.0000e-04 eta: 3:57:29 time: 0.2328 data_time: 0.0208 memory: 6108 grad_norm: 9.1321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/07/23 12:37:42 - mmengine - INFO - Epoch(train) [85][240/3757] lr: 1.0000e-04 eta: 3:57:24 time: 0.2379 data_time: 0.0212 memory: 6108 grad_norm: 9.5267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6717 loss: 1.6717 2022/07/23 12:37:47 - mmengine - INFO - Epoch(train) [85][260/3757] lr: 1.0000e-04 eta: 3:57:19 time: 0.2313 data_time: 0.0202 memory: 6108 grad_norm: 8.9014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3741 loss: 1.3741 2022/07/23 12:37:51 - mmengine - INFO - Epoch(train) [85][280/3757] lr: 1.0000e-04 eta: 3:57:15 time: 0.2296 data_time: 0.0189 memory: 6108 grad_norm: 8.8196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1765 loss: 1.1765 2022/07/23 12:37:56 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 1.0000e-04 eta: 3:57:10 time: 0.2312 data_time: 0.0198 memory: 6108 grad_norm: 9.0707 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1091 loss: 1.1091 2022/07/23 12:38:01 - mmengine - INFO - Epoch(train) [85][320/3757] lr: 1.0000e-04 eta: 3:57:05 time: 0.2407 data_time: 0.0201 memory: 6108 grad_norm: 8.4803 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2384 loss: 1.2384 2022/07/23 12:38:06 - mmengine - INFO - Epoch(train) [85][340/3757] lr: 1.0000e-04 eta: 3:57:00 time: 0.2328 data_time: 0.0221 memory: 6108 grad_norm: 8.6196 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/07/23 12:38:11 - mmengine - INFO - Epoch(train) [85][360/3757] lr: 1.0000e-04 eta: 3:56:56 time: 0.2471 data_time: 0.0220 memory: 6108 grad_norm: 8.4468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1637 loss: 1.1637 2022/07/23 12:38:15 - mmengine - INFO - Epoch(train) [85][380/3757] lr: 1.0000e-04 eta: 3:56:51 time: 0.2290 data_time: 0.0211 memory: 6108 grad_norm: 9.1225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1076 loss: 1.1076 2022/07/23 12:38:20 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 1.0000e-04 eta: 3:56:46 time: 0.2286 data_time: 0.0200 memory: 6108 grad_norm: 8.9857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2634 loss: 1.2634 2022/07/23 12:38:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:38:24 - mmengine - INFO - Epoch(train) [85][420/3757] lr: 1.0000e-04 eta: 3:56:41 time: 0.2345 data_time: 0.0237 memory: 6108 grad_norm: 8.4751 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1931 loss: 1.1931 2022/07/23 12:38:29 - mmengine - INFO - Epoch(train) [85][440/3757] lr: 1.0000e-04 eta: 3:56:36 time: 0.2369 data_time: 0.0194 memory: 6108 grad_norm: 9.1032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/07/23 12:38:34 - mmengine - INFO - Epoch(train) [85][460/3757] lr: 1.0000e-04 eta: 3:56:32 time: 0.2291 data_time: 0.0277 memory: 6108 grad_norm: 9.0927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0785 loss: 1.0785 2022/07/23 12:38:39 - mmengine - INFO - Epoch(train) [85][480/3757] lr: 1.0000e-04 eta: 3:56:27 time: 0.2424 data_time: 0.0261 memory: 6108 grad_norm: 9.0015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1387 loss: 1.1387 2022/07/23 12:38:43 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 1.0000e-04 eta: 3:56:22 time: 0.2306 data_time: 0.0200 memory: 6108 grad_norm: 9.1166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2423 loss: 1.2423 2022/07/23 12:38:48 - mmengine - INFO - Epoch(train) [85][520/3757] lr: 1.0000e-04 eta: 3:56:17 time: 0.2253 data_time: 0.0181 memory: 6108 grad_norm: 8.9039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/07/23 12:38:53 - mmengine - INFO - Epoch(train) [85][540/3757] lr: 1.0000e-04 eta: 3:56:13 time: 0.2330 data_time: 0.0235 memory: 6108 grad_norm: 8.8360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/07/23 12:38:58 - mmengine - INFO - Epoch(train) [85][560/3757] lr: 1.0000e-04 eta: 3:56:08 time: 0.2529 data_time: 0.0191 memory: 6108 grad_norm: 8.8632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/23 12:39:03 - mmengine - INFO - Epoch(train) [85][580/3757] lr: 1.0000e-04 eta: 3:56:03 time: 0.2412 data_time: 0.0216 memory: 6108 grad_norm: 9.3269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2540 loss: 1.2540 2022/07/23 12:39:07 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 1.0000e-04 eta: 3:55:58 time: 0.2316 data_time: 0.0249 memory: 6108 grad_norm: 9.1233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2162 loss: 1.2162 2022/07/23 12:39:12 - mmengine - INFO - Epoch(train) [85][620/3757] lr: 1.0000e-04 eta: 3:55:54 time: 0.2342 data_time: 0.0241 memory: 6108 grad_norm: 9.1075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/07/23 12:39:16 - mmengine - INFO - Epoch(train) [85][640/3757] lr: 1.0000e-04 eta: 3:55:49 time: 0.2273 data_time: 0.0200 memory: 6108 grad_norm: 8.6990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/07/23 12:39:21 - mmengine - INFO - Epoch(train) [85][660/3757] lr: 1.0000e-04 eta: 3:55:44 time: 0.2406 data_time: 0.0268 memory: 6108 grad_norm: 8.7149 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8497 loss: 0.8497 2022/07/23 12:39:26 - mmengine - INFO - Epoch(train) [85][680/3757] lr: 1.0000e-04 eta: 3:55:39 time: 0.2243 data_time: 0.0228 memory: 6108 grad_norm: 8.7447 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9649 loss: 0.9649 2022/07/23 12:39:30 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 1.0000e-04 eta: 3:55:34 time: 0.2292 data_time: 0.0238 memory: 6108 grad_norm: 8.5256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1524 loss: 1.1524 2022/07/23 12:39:35 - mmengine - INFO - Epoch(train) [85][720/3757] lr: 1.0000e-04 eta: 3:55:30 time: 0.2324 data_time: 0.0200 memory: 6108 grad_norm: 8.9212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1639 loss: 1.1639 2022/07/23 12:39:40 - mmengine - INFO - Epoch(train) [85][740/3757] lr: 1.0000e-04 eta: 3:55:25 time: 0.2403 data_time: 0.0185 memory: 6108 grad_norm: 8.4901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0007 loss: 1.0007 2022/07/23 12:39:45 - mmengine - INFO - Epoch(train) [85][760/3757] lr: 1.0000e-04 eta: 3:55:20 time: 0.2382 data_time: 0.0188 memory: 6108 grad_norm: 9.3245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3975 loss: 1.3975 2022/07/23 12:39:49 - mmengine - INFO - Epoch(train) [85][780/3757] lr: 1.0000e-04 eta: 3:55:15 time: 0.2283 data_time: 0.0231 memory: 6108 grad_norm: 9.3131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1871 loss: 1.1871 2022/07/23 12:39:54 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 1.0000e-04 eta: 3:55:10 time: 0.2252 data_time: 0.0199 memory: 6108 grad_norm: 8.5004 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2820 loss: 1.2820 2022/07/23 12:39:59 - mmengine - INFO - Epoch(train) [85][820/3757] lr: 1.0000e-04 eta: 3:55:06 time: 0.2568 data_time: 0.0190 memory: 6108 grad_norm: 8.9676 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1162 loss: 1.1162 2022/07/23 12:40:04 - mmengine - INFO - Epoch(train) [85][840/3757] lr: 1.0000e-04 eta: 3:55:01 time: 0.2247 data_time: 0.0251 memory: 6108 grad_norm: 9.3478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4192 loss: 1.4192 2022/07/23 12:40:08 - mmengine - INFO - Epoch(train) [85][860/3757] lr: 1.0000e-04 eta: 3:54:56 time: 0.2285 data_time: 0.0228 memory: 6108 grad_norm: 8.8539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1733 loss: 1.1733 2022/07/23 12:40:13 - mmengine - INFO - Epoch(train) [85][880/3757] lr: 1.0000e-04 eta: 3:54:51 time: 0.2280 data_time: 0.0237 memory: 6108 grad_norm: 8.7310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/07/23 12:40:18 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 1.0000e-04 eta: 3:54:47 time: 0.2418 data_time: 0.0230 memory: 6108 grad_norm: 9.0372 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7880 loss: 0.7880 2022/07/23 12:40:23 - mmengine - INFO - Epoch(train) [85][920/3757] lr: 1.0000e-04 eta: 3:54:42 time: 0.2527 data_time: 0.0180 memory: 6108 grad_norm: 9.2521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0444 loss: 1.0444 2022/07/23 12:40:27 - mmengine - INFO - Epoch(train) [85][940/3757] lr: 1.0000e-04 eta: 3:54:37 time: 0.2292 data_time: 0.0252 memory: 6108 grad_norm: 8.9767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/07/23 12:40:32 - mmengine - INFO - Epoch(train) [85][960/3757] lr: 1.0000e-04 eta: 3:54:32 time: 0.2296 data_time: 0.0278 memory: 6108 grad_norm: 9.3876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3883 loss: 1.3883 2022/07/23 12:40:37 - mmengine - INFO - Epoch(train) [85][980/3757] lr: 1.0000e-04 eta: 3:54:28 time: 0.2289 data_time: 0.0183 memory: 6108 grad_norm: 9.1677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0608 loss: 1.0608 2022/07/23 12:40:42 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 1.0000e-04 eta: 3:54:23 time: 0.2490 data_time: 0.0250 memory: 6108 grad_norm: 8.8631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3187 loss: 1.3187 2022/07/23 12:40:46 - mmengine - INFO - Epoch(train) [85][1020/3757] lr: 1.0000e-04 eta: 3:54:18 time: 0.2314 data_time: 0.0252 memory: 6108 grad_norm: 8.9901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9654 loss: 0.9654 2022/07/23 12:40:51 - mmengine - INFO - Epoch(train) [85][1040/3757] lr: 1.0000e-04 eta: 3:54:13 time: 0.2313 data_time: 0.0265 memory: 6108 grad_norm: 9.3866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5243 loss: 1.5243 2022/07/23 12:40:55 - mmengine - INFO - Epoch(train) [85][1060/3757] lr: 1.0000e-04 eta: 3:54:09 time: 0.2269 data_time: 0.0249 memory: 6108 grad_norm: 8.9078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/07/23 12:41:00 - mmengine - INFO - Epoch(train) [85][1080/3757] lr: 1.0000e-04 eta: 3:54:04 time: 0.2428 data_time: 0.0220 memory: 6108 grad_norm: 8.5048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9424 loss: 0.9424 2022/07/23 12:41:05 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 1.0000e-04 eta: 3:53:59 time: 0.2309 data_time: 0.0215 memory: 6108 grad_norm: 8.8895 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3378 loss: 1.3378 2022/07/23 12:41:10 - mmengine - INFO - Epoch(train) [85][1120/3757] lr: 1.0000e-04 eta: 3:53:54 time: 0.2311 data_time: 0.0241 memory: 6108 grad_norm: 8.8654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0468 loss: 1.0468 2022/07/23 12:41:14 - mmengine - INFO - Epoch(train) [85][1140/3757] lr: 1.0000e-04 eta: 3:53:49 time: 0.2287 data_time: 0.0221 memory: 6108 grad_norm: 9.0471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/07/23 12:41:19 - mmengine - INFO - Epoch(train) [85][1160/3757] lr: 1.0000e-04 eta: 3:53:45 time: 0.2321 data_time: 0.0185 memory: 6108 grad_norm: 9.0404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/07/23 12:41:24 - mmengine - INFO - Epoch(train) [85][1180/3757] lr: 1.0000e-04 eta: 3:53:40 time: 0.2304 data_time: 0.0214 memory: 6108 grad_norm: 9.0912 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1802 loss: 1.1802 2022/07/23 12:41:28 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 1.0000e-04 eta: 3:53:35 time: 0.2321 data_time: 0.0309 memory: 6108 grad_norm: 8.6557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3197 loss: 1.3197 2022/07/23 12:41:33 - mmengine - INFO - Epoch(train) [85][1220/3757] lr: 1.0000e-04 eta: 3:53:30 time: 0.2298 data_time: 0.0180 memory: 6108 grad_norm: 9.2426 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4835 loss: 1.4835 2022/07/23 12:41:38 - mmengine - INFO - Epoch(train) [85][1240/3757] lr: 1.0000e-04 eta: 3:53:25 time: 0.2333 data_time: 0.0220 memory: 6108 grad_norm: 8.6002 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9751 loss: 0.9751 2022/07/23 12:41:42 - mmengine - INFO - Epoch(train) [85][1260/3757] lr: 1.0000e-04 eta: 3:53:21 time: 0.2374 data_time: 0.0186 memory: 6108 grad_norm: 9.0611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2704 loss: 1.2704 2022/07/23 12:41:47 - mmengine - INFO - Epoch(train) [85][1280/3757] lr: 1.0000e-04 eta: 3:53:16 time: 0.2358 data_time: 0.0240 memory: 6108 grad_norm: 9.1065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1164 loss: 1.1164 2022/07/23 12:41:52 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 1.0000e-04 eta: 3:53:11 time: 0.2307 data_time: 0.0209 memory: 6108 grad_norm: 9.1676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/07/23 12:41:56 - mmengine - INFO - Epoch(train) [85][1320/3757] lr: 1.0000e-04 eta: 3:53:06 time: 0.2297 data_time: 0.0233 memory: 6108 grad_norm: 9.1911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/07/23 12:42:01 - mmengine - INFO - Epoch(train) [85][1340/3757] lr: 1.0000e-04 eta: 3:53:02 time: 0.2322 data_time: 0.0219 memory: 6108 grad_norm: 9.0022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1016 loss: 1.1016 2022/07/23 12:42:06 - mmengine - INFO - Epoch(train) [85][1360/3757] lr: 1.0000e-04 eta: 3:52:57 time: 0.2390 data_time: 0.0204 memory: 6108 grad_norm: 8.7625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2705 loss: 1.2705 2022/07/23 12:42:11 - mmengine - INFO - Epoch(train) [85][1380/3757] lr: 1.0000e-04 eta: 3:52:52 time: 0.2392 data_time: 0.0247 memory: 6108 grad_norm: 9.3577 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2908 loss: 1.2908 2022/07/23 12:42:15 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 1.0000e-04 eta: 3:52:47 time: 0.2298 data_time: 0.0191 memory: 6108 grad_norm: 9.1415 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1588 loss: 1.1588 2022/07/23 12:42:18 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:42:20 - mmengine - INFO - Epoch(train) [85][1420/3757] lr: 1.0000e-04 eta: 3:52:43 time: 0.2320 data_time: 0.0265 memory: 6108 grad_norm: 9.0901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3439 loss: 1.3439 2022/07/23 12:42:25 - mmengine - INFO - Epoch(train) [85][1440/3757] lr: 1.0000e-04 eta: 3:52:38 time: 0.2310 data_time: 0.0225 memory: 6108 grad_norm: 8.9374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2949 loss: 1.2949 2022/07/23 12:42:29 - mmengine - INFO - Epoch(train) [85][1460/3757] lr: 1.0000e-04 eta: 3:52:33 time: 0.2332 data_time: 0.0253 memory: 6108 grad_norm: 8.7898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1102 loss: 1.1102 2022/07/23 12:42:34 - mmengine - INFO - Epoch(train) [85][1480/3757] lr: 1.0000e-04 eta: 3:52:28 time: 0.2331 data_time: 0.0204 memory: 6108 grad_norm: 9.1667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/07/23 12:42:39 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 1.0000e-04 eta: 3:52:23 time: 0.2463 data_time: 0.0285 memory: 6108 grad_norm: 8.9052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1634 loss: 1.1634 2022/07/23 12:42:43 - mmengine - INFO - Epoch(train) [85][1520/3757] lr: 1.0000e-04 eta: 3:52:19 time: 0.2279 data_time: 0.0188 memory: 6108 grad_norm: 9.5511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/07/23 12:42:48 - mmengine - INFO - Epoch(train) [85][1540/3757] lr: 1.0000e-04 eta: 3:52:14 time: 0.2331 data_time: 0.0180 memory: 6108 grad_norm: 9.0114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0427 loss: 1.0427 2022/07/23 12:42:53 - mmengine - INFO - Epoch(train) [85][1560/3757] lr: 1.0000e-04 eta: 3:52:09 time: 0.2331 data_time: 0.0267 memory: 6108 grad_norm: 8.9539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3209 loss: 1.3209 2022/07/23 12:42:58 - mmengine - INFO - Epoch(train) [85][1580/3757] lr: 1.0000e-04 eta: 3:52:04 time: 0.2404 data_time: 0.0182 memory: 6108 grad_norm: 8.9856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2183 loss: 1.2183 2022/07/23 12:43:03 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 1.0000e-04 eta: 3:52:00 time: 0.2393 data_time: 0.0212 memory: 6108 grad_norm: 8.6693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9000 loss: 0.9000 2022/07/23 12:43:07 - mmengine - INFO - Epoch(train) [85][1620/3757] lr: 1.0000e-04 eta: 3:51:55 time: 0.2342 data_time: 0.0271 memory: 6108 grad_norm: 8.7893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0743 loss: 1.0743 2022/07/23 12:43:12 - mmengine - INFO - Epoch(train) [85][1640/3757] lr: 1.0000e-04 eta: 3:51:50 time: 0.2264 data_time: 0.0254 memory: 6108 grad_norm: 8.7716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1842 loss: 1.1842 2022/07/23 12:43:16 - mmengine - INFO - Epoch(train) [85][1660/3757] lr: 1.0000e-04 eta: 3:51:45 time: 0.2332 data_time: 0.0208 memory: 6108 grad_norm: 9.0649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1447 loss: 1.1447 2022/07/23 12:43:21 - mmengine - INFO - Epoch(train) [85][1680/3757] lr: 1.0000e-04 eta: 3:51:41 time: 0.2345 data_time: 0.0210 memory: 6108 grad_norm: 8.8529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/07/23 12:43:26 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 1.0000e-04 eta: 3:51:36 time: 0.2273 data_time: 0.0199 memory: 6108 grad_norm: 9.0550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1470 loss: 1.1470 2022/07/23 12:43:30 - mmengine - INFO - Epoch(train) [85][1720/3757] lr: 1.0000e-04 eta: 3:51:31 time: 0.2331 data_time: 0.0221 memory: 6108 grad_norm: 9.0821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1359 loss: 1.1359 2022/07/23 12:43:35 - mmengine - INFO - Epoch(train) [85][1740/3757] lr: 1.0000e-04 eta: 3:51:26 time: 0.2335 data_time: 0.0255 memory: 6108 grad_norm: 9.0598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/07/23 12:43:40 - mmengine - INFO - Epoch(train) [85][1760/3757] lr: 1.0000e-04 eta: 3:51:21 time: 0.2386 data_time: 0.0192 memory: 6108 grad_norm: 9.0565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0133 loss: 1.0133 2022/07/23 12:43:45 - mmengine - INFO - Epoch(train) [85][1780/3757] lr: 1.0000e-04 eta: 3:51:17 time: 0.2424 data_time: 0.0198 memory: 6108 grad_norm: 9.0832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2150 loss: 1.2150 2022/07/23 12:43:50 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 1.0000e-04 eta: 3:51:12 time: 0.2394 data_time: 0.0209 memory: 6108 grad_norm: 8.9274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9939 loss: 0.9939 2022/07/23 12:43:54 - mmengine - INFO - Epoch(train) [85][1820/3757] lr: 1.0000e-04 eta: 3:51:07 time: 0.2338 data_time: 0.0248 memory: 6108 grad_norm: 8.7193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0257 loss: 1.0257 2022/07/23 12:43:59 - mmengine - INFO - Epoch(train) [85][1840/3757] lr: 1.0000e-04 eta: 3:51:02 time: 0.2319 data_time: 0.0193 memory: 6108 grad_norm: 9.0777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0638 loss: 1.0638 2022/07/23 12:44:04 - mmengine - INFO - Epoch(train) [85][1860/3757] lr: 1.0000e-04 eta: 3:50:58 time: 0.2336 data_time: 0.0255 memory: 6108 grad_norm: 8.8396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/07/23 12:44:08 - mmengine - INFO - Epoch(train) [85][1880/3757] lr: 1.0000e-04 eta: 3:50:53 time: 0.2358 data_time: 0.0199 memory: 6108 grad_norm: 9.1045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0415 loss: 1.0415 2022/07/23 12:44:13 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 1.0000e-04 eta: 3:50:48 time: 0.2350 data_time: 0.0222 memory: 6108 grad_norm: 9.6044 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2226 loss: 1.2226 2022/07/23 12:44:18 - mmengine - INFO - Epoch(train) [85][1920/3757] lr: 1.0000e-04 eta: 3:50:43 time: 0.2296 data_time: 0.0254 memory: 6108 grad_norm: 9.0281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1601 loss: 1.1601 2022/07/23 12:44:22 - mmengine - INFO - Epoch(train) [85][1940/3757] lr: 1.0000e-04 eta: 3:50:38 time: 0.2317 data_time: 0.0217 memory: 6108 grad_norm: 9.1446 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2654 loss: 1.2654 2022/07/23 12:44:27 - mmengine - INFO - Epoch(train) [85][1960/3757] lr: 1.0000e-04 eta: 3:50:34 time: 0.2293 data_time: 0.0204 memory: 6108 grad_norm: 8.7384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0391 loss: 1.0391 2022/07/23 12:44:32 - mmengine - INFO - Epoch(train) [85][1980/3757] lr: 1.0000e-04 eta: 3:50:29 time: 0.2315 data_time: 0.0258 memory: 6108 grad_norm: 8.8877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2772 loss: 1.2772 2022/07/23 12:44:37 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 1.0000e-04 eta: 3:50:24 time: 0.2401 data_time: 0.0210 memory: 6108 grad_norm: 9.0187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/07/23 12:44:41 - mmengine - INFO - Epoch(train) [85][2020/3757] lr: 1.0000e-04 eta: 3:50:19 time: 0.2330 data_time: 0.0256 memory: 6108 grad_norm: 8.8954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1944 loss: 1.1944 2022/07/23 12:44:46 - mmengine - INFO - Epoch(train) [85][2040/3757] lr: 1.0000e-04 eta: 3:50:15 time: 0.2289 data_time: 0.0253 memory: 6108 grad_norm: 8.6730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/07/23 12:44:51 - mmengine - INFO - Epoch(train) [85][2060/3757] lr: 1.0000e-04 eta: 3:50:10 time: 0.2431 data_time: 0.0184 memory: 6108 grad_norm: 9.1042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4091 loss: 1.4091 2022/07/23 12:44:55 - mmengine - INFO - Epoch(train) [85][2080/3757] lr: 1.0000e-04 eta: 3:50:05 time: 0.2290 data_time: 0.0249 memory: 6108 grad_norm: 9.1051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2978 loss: 1.2978 2022/07/23 12:45:00 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 1.0000e-04 eta: 3:50:00 time: 0.2285 data_time: 0.0204 memory: 6108 grad_norm: 9.2671 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/07/23 12:45:05 - mmengine - INFO - Epoch(train) [85][2120/3757] lr: 1.0000e-04 eta: 3:49:55 time: 0.2313 data_time: 0.0293 memory: 6108 grad_norm: 9.0148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1181 loss: 1.1181 2022/07/23 12:45:10 - mmengine - INFO - Epoch(train) [85][2140/3757] lr: 1.0000e-04 eta: 3:49:51 time: 0.2481 data_time: 0.0223 memory: 6108 grad_norm: 8.9410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/07/23 12:45:14 - mmengine - INFO - Epoch(train) [85][2160/3757] lr: 1.0000e-04 eta: 3:49:46 time: 0.2333 data_time: 0.0227 memory: 6108 grad_norm: 8.7798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3341 loss: 1.3341 2022/07/23 12:45:19 - mmengine - INFO - Epoch(train) [85][2180/3757] lr: 1.0000e-04 eta: 3:49:41 time: 0.2302 data_time: 0.0198 memory: 6108 grad_norm: 9.1497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0898 loss: 1.0898 2022/07/23 12:45:24 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 1.0000e-04 eta: 3:49:36 time: 0.2287 data_time: 0.0198 memory: 6108 grad_norm: 8.7812 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/07/23 12:45:28 - mmengine - INFO - Epoch(train) [85][2220/3757] lr: 1.0000e-04 eta: 3:49:32 time: 0.2315 data_time: 0.0215 memory: 6108 grad_norm: 9.0141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1405 loss: 1.1405 2022/07/23 12:45:33 - mmengine - INFO - Epoch(train) [85][2240/3757] lr: 1.0000e-04 eta: 3:49:27 time: 0.2335 data_time: 0.0197 memory: 6108 grad_norm: 8.6455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/23 12:45:37 - mmengine - INFO - Epoch(train) [85][2260/3757] lr: 1.0000e-04 eta: 3:49:22 time: 0.2273 data_time: 0.0184 memory: 6108 grad_norm: 9.0685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3840 loss: 1.3840 2022/07/23 12:45:42 - mmengine - INFO - Epoch(train) [85][2280/3757] lr: 1.0000e-04 eta: 3:49:17 time: 0.2344 data_time: 0.0266 memory: 6108 grad_norm: 9.1111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2091 loss: 1.2091 2022/07/23 12:45:47 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 1.0000e-04 eta: 3:49:13 time: 0.2287 data_time: 0.0193 memory: 6108 grad_norm: 9.1679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3626 loss: 1.3626 2022/07/23 12:45:52 - mmengine - INFO - Epoch(train) [85][2320/3757] lr: 1.0000e-04 eta: 3:49:08 time: 0.2465 data_time: 0.0187 memory: 6108 grad_norm: 9.1856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4039 loss: 1.4039 2022/07/23 12:45:57 - mmengine - INFO - Epoch(train) [85][2340/3757] lr: 1.0000e-04 eta: 3:49:03 time: 0.2389 data_time: 0.0273 memory: 6108 grad_norm: 9.0287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0694 loss: 1.0694 2022/07/23 12:46:01 - mmengine - INFO - Epoch(train) [85][2360/3757] lr: 1.0000e-04 eta: 3:48:58 time: 0.2326 data_time: 0.0220 memory: 6108 grad_norm: 8.6438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/07/23 12:46:06 - mmengine - INFO - Epoch(train) [85][2380/3757] lr: 1.0000e-04 eta: 3:48:53 time: 0.2405 data_time: 0.0243 memory: 6108 grad_norm: 8.8920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2116 loss: 1.2116 2022/07/23 12:46:11 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 1.0000e-04 eta: 3:48:49 time: 0.2437 data_time: 0.0201 memory: 6108 grad_norm: 8.7815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2312 loss: 1.2312 2022/07/23 12:46:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:46:16 - mmengine - INFO - Epoch(train) [85][2420/3757] lr: 1.0000e-04 eta: 3:48:44 time: 0.2286 data_time: 0.0209 memory: 6108 grad_norm: 9.0016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/07/23 12:46:20 - mmengine - INFO - Epoch(train) [85][2440/3757] lr: 1.0000e-04 eta: 3:48:39 time: 0.2322 data_time: 0.0213 memory: 6108 grad_norm: 9.0277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/07/23 12:46:25 - mmengine - INFO - Epoch(train) [85][2460/3757] lr: 1.0000e-04 eta: 3:48:34 time: 0.2287 data_time: 0.0221 memory: 6108 grad_norm: 9.0186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/07/23 12:46:30 - mmengine - INFO - Epoch(train) [85][2480/3757] lr: 1.0000e-04 eta: 3:48:30 time: 0.2376 data_time: 0.0274 memory: 6108 grad_norm: 8.6936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1226 loss: 1.1226 2022/07/23 12:46:35 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 1.0000e-04 eta: 3:48:25 time: 0.2434 data_time: 0.0189 memory: 6108 grad_norm: 9.2202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1954 loss: 1.1954 2022/07/23 12:46:39 - mmengine - INFO - Epoch(train) [85][2520/3757] lr: 1.0000e-04 eta: 3:48:20 time: 0.2379 data_time: 0.0214 memory: 6108 grad_norm: 8.9565 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/07/23 12:46:44 - mmengine - INFO - Epoch(train) [85][2540/3757] lr: 1.0000e-04 eta: 3:48:15 time: 0.2292 data_time: 0.0251 memory: 6108 grad_norm: 9.1855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1910 loss: 1.1910 2022/07/23 12:46:49 - mmengine - INFO - Epoch(train) [85][2560/3757] lr: 1.0000e-04 eta: 3:48:11 time: 0.2424 data_time: 0.0225 memory: 6108 grad_norm: 9.0542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/07/23 12:46:53 - mmengine - INFO - Epoch(train) [85][2580/3757] lr: 1.0000e-04 eta: 3:48:06 time: 0.2273 data_time: 0.0250 memory: 6108 grad_norm: 8.9115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8929 loss: 0.8929 2022/07/23 12:46:58 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 1.0000e-04 eta: 3:48:01 time: 0.2318 data_time: 0.0228 memory: 6108 grad_norm: 9.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3660 loss: 1.3660 2022/07/23 12:47:03 - mmengine - INFO - Epoch(train) [85][2620/3757] lr: 1.0000e-04 eta: 3:47:56 time: 0.2289 data_time: 0.0217 memory: 6108 grad_norm: 9.1132 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/07/23 12:47:07 - mmengine - INFO - Epoch(train) [85][2640/3757] lr: 1.0000e-04 eta: 3:47:51 time: 0.2277 data_time: 0.0234 memory: 6108 grad_norm: 8.7625 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/07/23 12:47:12 - mmengine - INFO - Epoch(train) [85][2660/3757] lr: 1.0000e-04 eta: 3:47:47 time: 0.2363 data_time: 0.0234 memory: 6108 grad_norm: 9.1809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2956 loss: 1.2956 2022/07/23 12:47:17 - mmengine - INFO - Epoch(train) [85][2680/3757] lr: 1.0000e-04 eta: 3:47:42 time: 0.2287 data_time: 0.0206 memory: 6108 grad_norm: 8.9067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/07/23 12:47:21 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 1.0000e-04 eta: 3:47:37 time: 0.2318 data_time: 0.0218 memory: 6108 grad_norm: 8.9555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0876 loss: 1.0876 2022/07/23 12:47:26 - mmengine - INFO - Epoch(train) [85][2720/3757] lr: 1.0000e-04 eta: 3:47:32 time: 0.2316 data_time: 0.0218 memory: 6108 grad_norm: 8.7823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2155 loss: 1.2155 2022/07/23 12:47:31 - mmengine - INFO - Epoch(train) [85][2740/3757] lr: 1.0000e-04 eta: 3:47:28 time: 0.2385 data_time: 0.0206 memory: 6108 grad_norm: 9.1941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2571 loss: 1.2571 2022/07/23 12:47:35 - mmengine - INFO - Epoch(train) [85][2760/3757] lr: 1.0000e-04 eta: 3:47:23 time: 0.2321 data_time: 0.0239 memory: 6108 grad_norm: 9.1042 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4065 loss: 1.4065 2022/07/23 12:47:40 - mmengine - INFO - Epoch(train) [85][2780/3757] lr: 1.0000e-04 eta: 3:47:18 time: 0.2309 data_time: 0.0218 memory: 6108 grad_norm: 8.8438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/07/23 12:47:45 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 1.0000e-04 eta: 3:47:13 time: 0.2333 data_time: 0.0244 memory: 6108 grad_norm: 9.2554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1155 loss: 1.1155 2022/07/23 12:47:50 - mmengine - INFO - Epoch(train) [85][2820/3757] lr: 1.0000e-04 eta: 3:47:09 time: 0.2414 data_time: 0.0242 memory: 6108 grad_norm: 9.8958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/07/23 12:47:54 - mmengine - INFO - Epoch(train) [85][2840/3757] lr: 1.0000e-04 eta: 3:47:04 time: 0.2257 data_time: 0.0192 memory: 6108 grad_norm: 9.1758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/07/23 12:47:59 - mmengine - INFO - Epoch(train) [85][2860/3757] lr: 1.0000e-04 eta: 3:46:59 time: 0.2294 data_time: 0.0332 memory: 6108 grad_norm: 9.0108 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1226 loss: 1.1226 2022/07/23 12:48:03 - mmengine - INFO - Epoch(train) [85][2880/3757] lr: 1.0000e-04 eta: 3:46:54 time: 0.2302 data_time: 0.0198 memory: 6108 grad_norm: 9.0649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/07/23 12:48:08 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 1.0000e-04 eta: 3:46:49 time: 0.2315 data_time: 0.0213 memory: 6108 grad_norm: 8.9624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2454 loss: 1.2454 2022/07/23 12:48:13 - mmengine - INFO - Epoch(train) [85][2920/3757] lr: 1.0000e-04 eta: 3:46:45 time: 0.2365 data_time: 0.0161 memory: 6108 grad_norm: 8.9265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2165 loss: 1.2165 2022/07/23 12:48:17 - mmengine - INFO - Epoch(train) [85][2940/3757] lr: 1.0000e-04 eta: 3:46:40 time: 0.2303 data_time: 0.0248 memory: 6108 grad_norm: 8.8991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2247 loss: 1.2247 2022/07/23 12:48:22 - mmengine - INFO - Epoch(train) [85][2960/3757] lr: 1.0000e-04 eta: 3:46:35 time: 0.2330 data_time: 0.0178 memory: 6108 grad_norm: 8.9793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9975 loss: 0.9975 2022/07/23 12:48:27 - mmengine - INFO - Epoch(train) [85][2980/3757] lr: 1.0000e-04 eta: 3:46:30 time: 0.2305 data_time: 0.0207 memory: 6108 grad_norm: 9.0682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/07/23 12:48:32 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 1.0000e-04 eta: 3:46:25 time: 0.2376 data_time: 0.0261 memory: 6108 grad_norm: 9.1712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/07/23 12:48:36 - mmengine - INFO - Epoch(train) [85][3020/3757] lr: 1.0000e-04 eta: 3:46:21 time: 0.2321 data_time: 0.0182 memory: 6108 grad_norm: 9.1358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3894 loss: 1.3894 2022/07/23 12:48:41 - mmengine - INFO - Epoch(train) [85][3040/3757] lr: 1.0000e-04 eta: 3:46:16 time: 0.2287 data_time: 0.0248 memory: 6108 grad_norm: 9.0326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2996 loss: 1.2996 2022/07/23 12:48:46 - mmengine - INFO - Epoch(train) [85][3060/3757] lr: 1.0000e-04 eta: 3:46:11 time: 0.2333 data_time: 0.0198 memory: 6108 grad_norm: 9.1007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1395 loss: 1.1395 2022/07/23 12:48:50 - mmengine - INFO - Epoch(train) [85][3080/3757] lr: 1.0000e-04 eta: 3:46:06 time: 0.2449 data_time: 0.0241 memory: 6108 grad_norm: 8.8719 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0436 loss: 1.0436 2022/07/23 12:48:55 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 1.0000e-04 eta: 3:46:02 time: 0.2256 data_time: 0.0231 memory: 6108 grad_norm: 8.9253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2581 loss: 1.2581 2022/07/23 12:49:00 - mmengine - INFO - Epoch(train) [85][3120/3757] lr: 1.0000e-04 eta: 3:45:57 time: 0.2354 data_time: 0.0289 memory: 6108 grad_norm: 8.7548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2735 loss: 1.2735 2022/07/23 12:49:04 - mmengine - INFO - Epoch(train) [85][3140/3757] lr: 1.0000e-04 eta: 3:45:52 time: 0.2293 data_time: 0.0204 memory: 6108 grad_norm: 9.2592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1619 loss: 1.1619 2022/07/23 12:49:10 - mmengine - INFO - Epoch(train) [85][3160/3757] lr: 1.0000e-04 eta: 3:45:47 time: 0.2544 data_time: 0.0195 memory: 6108 grad_norm: 9.0034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0294 loss: 1.0294 2022/07/23 12:49:14 - mmengine - INFO - Epoch(train) [85][3180/3757] lr: 1.0000e-04 eta: 3:45:43 time: 0.2277 data_time: 0.0273 memory: 6108 grad_norm: 8.6801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0783 loss: 1.0783 2022/07/23 12:49:19 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 1.0000e-04 eta: 3:45:38 time: 0.2349 data_time: 0.0250 memory: 6108 grad_norm: 8.9518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/07/23 12:49:23 - mmengine - INFO - Epoch(train) [85][3220/3757] lr: 1.0000e-04 eta: 3:45:33 time: 0.2258 data_time: 0.0213 memory: 6108 grad_norm: 8.9554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1209 loss: 1.1209 2022/07/23 12:49:28 - mmengine - INFO - Epoch(train) [85][3240/3757] lr: 1.0000e-04 eta: 3:45:28 time: 0.2302 data_time: 0.0204 memory: 6108 grad_norm: 9.0340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/07/23 12:49:33 - mmengine - INFO - Epoch(train) [85][3260/3757] lr: 1.0000e-04 eta: 3:45:23 time: 0.2325 data_time: 0.0181 memory: 6108 grad_norm: 9.3122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/07/23 12:49:37 - mmengine - INFO - Epoch(train) [85][3280/3757] lr: 1.0000e-04 eta: 3:45:19 time: 0.2379 data_time: 0.0241 memory: 6108 grad_norm: 8.9465 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1376 loss: 1.1376 2022/07/23 12:49:42 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 1.0000e-04 eta: 3:45:14 time: 0.2281 data_time: 0.0196 memory: 6108 grad_norm: 9.3242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/23 12:49:47 - mmengine - INFO - Epoch(train) [85][3320/3757] lr: 1.0000e-04 eta: 3:45:09 time: 0.2313 data_time: 0.0170 memory: 6108 grad_norm: 9.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/07/23 12:49:52 - mmengine - INFO - Epoch(train) [85][3340/3757] lr: 1.0000e-04 eta: 3:45:04 time: 0.2559 data_time: 0.0253 memory: 6108 grad_norm: 9.2790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3054 loss: 1.3054 2022/07/23 12:49:57 - mmengine - INFO - Epoch(train) [85][3360/3757] lr: 1.0000e-04 eta: 3:45:00 time: 0.2318 data_time: 0.0223 memory: 6108 grad_norm: 8.7807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/07/23 12:50:01 - mmengine - INFO - Epoch(train) [85][3380/3757] lr: 1.0000e-04 eta: 3:44:55 time: 0.2314 data_time: 0.0226 memory: 6108 grad_norm: 9.2884 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4437 loss: 1.4437 2022/07/23 12:50:06 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 1.0000e-04 eta: 3:44:50 time: 0.2334 data_time: 0.0291 memory: 6108 grad_norm: 9.0592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/07/23 12:50:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:50:11 - mmengine - INFO - Epoch(train) [85][3420/3757] lr: 1.0000e-04 eta: 3:44:45 time: 0.2307 data_time: 0.0218 memory: 6108 grad_norm: 9.0310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0138 loss: 1.0138 2022/07/23 12:50:15 - mmengine - INFO - Epoch(train) [85][3440/3757] lr: 1.0000e-04 eta: 3:44:40 time: 0.2291 data_time: 0.0194 memory: 6108 grad_norm: 9.1340 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/07/23 12:50:20 - mmengine - INFO - Epoch(train) [85][3460/3757] lr: 1.0000e-04 eta: 3:44:36 time: 0.2347 data_time: 0.0213 memory: 6108 grad_norm: 9.3748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2065 loss: 1.2065 2022/07/23 12:50:24 - mmengine - INFO - Epoch(train) [85][3480/3757] lr: 1.0000e-04 eta: 3:44:31 time: 0.2297 data_time: 0.0245 memory: 6108 grad_norm: 8.5840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0304 loss: 1.0304 2022/07/23 12:50:29 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 1.0000e-04 eta: 3:44:26 time: 0.2340 data_time: 0.0264 memory: 6108 grad_norm: 8.9670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2298 loss: 1.2298 2022/07/23 12:50:34 - mmengine - INFO - Epoch(train) [85][3520/3757] lr: 1.0000e-04 eta: 3:44:21 time: 0.2286 data_time: 0.0238 memory: 6108 grad_norm: 9.0187 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1381 loss: 1.1381 2022/07/23 12:50:39 - mmengine - INFO - Epoch(train) [85][3540/3757] lr: 1.0000e-04 eta: 3:44:17 time: 0.2586 data_time: 0.0236 memory: 6108 grad_norm: 9.1363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3927 loss: 1.3927 2022/07/23 12:50:44 - mmengine - INFO - Epoch(train) [85][3560/3757] lr: 1.0000e-04 eta: 3:44:12 time: 0.2247 data_time: 0.0218 memory: 6108 grad_norm: 8.9538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1783 loss: 1.1783 2022/07/23 12:50:48 - mmengine - INFO - Epoch(train) [85][3580/3757] lr: 1.0000e-04 eta: 3:44:07 time: 0.2329 data_time: 0.0276 memory: 6108 grad_norm: 9.1016 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0445 loss: 1.0445 2022/07/23 12:50:53 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 1.0000e-04 eta: 3:44:02 time: 0.2386 data_time: 0.0259 memory: 6108 grad_norm: 9.0592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/07/23 12:50:58 - mmengine - INFO - Epoch(train) [85][3620/3757] lr: 1.0000e-04 eta: 3:43:58 time: 0.2300 data_time: 0.0231 memory: 6108 grad_norm: 8.8917 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/07/23 12:51:02 - mmengine - INFO - Epoch(train) [85][3640/3757] lr: 1.0000e-04 eta: 3:43:53 time: 0.2358 data_time: 0.0203 memory: 6108 grad_norm: 8.9870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3929 loss: 1.3929 2022/07/23 12:51:07 - mmengine - INFO - Epoch(train) [85][3660/3757] lr: 1.0000e-04 eta: 3:43:48 time: 0.2323 data_time: 0.0232 memory: 6108 grad_norm: 8.9662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2780 loss: 1.2780 2022/07/23 12:51:12 - mmengine - INFO - Epoch(train) [85][3680/3757] lr: 1.0000e-04 eta: 3:43:43 time: 0.2360 data_time: 0.0208 memory: 6108 grad_norm: 9.3162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/23 12:51:16 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 1.0000e-04 eta: 3:43:38 time: 0.2328 data_time: 0.0276 memory: 6108 grad_norm: 9.3831 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5132 loss: 1.5132 2022/07/23 12:51:21 - mmengine - INFO - Epoch(train) [85][3720/3757] lr: 1.0000e-04 eta: 3:43:34 time: 0.2366 data_time: 0.0300 memory: 6108 grad_norm: 9.0766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1613 loss: 1.1613 2022/07/23 12:51:26 - mmengine - INFO - Epoch(train) [85][3740/3757] lr: 1.0000e-04 eta: 3:43:29 time: 0.2309 data_time: 0.0223 memory: 6108 grad_norm: 9.3233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0189 loss: 1.0189 2022/07/23 12:51:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:51:29 - mmengine - INFO - Epoch(train) [85][3757/3757] lr: 1.0000e-04 eta: 3:43:29 time: 0.2025 data_time: 0.0147 memory: 6108 grad_norm: 9.1534 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1400 loss: 1.1400 2022/07/23 12:51:29 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/07/23 12:51:37 - mmengine - INFO - Epoch(val) [85][20/310] eta: 0:01:20 time: 0.2780 data_time: 0.2009 memory: 1428 2022/07/23 12:51:41 - mmengine - INFO - Epoch(val) [85][40/310] eta: 0:00:49 time: 0.1815 data_time: 0.1062 memory: 1428 2022/07/23 12:51:45 - mmengine - INFO - Epoch(val) [85][60/310] eta: 0:00:55 time: 0.2226 data_time: 0.1452 memory: 1428 2022/07/23 12:51:50 - mmengine - INFO - Epoch(val) [85][80/310] eta: 0:00:48 time: 0.2111 data_time: 0.1282 memory: 1428 2022/07/23 12:51:54 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:00:48 time: 0.2293 data_time: 0.1514 memory: 1428 2022/07/23 12:51:58 - mmengine - INFO - Epoch(val) [85][120/310] eta: 0:00:36 time: 0.1900 data_time: 0.1154 memory: 1428 2022/07/23 12:52:03 - mmengine - INFO - Epoch(val) [85][140/310] eta: 0:00:43 time: 0.2570 data_time: 0.1817 memory: 1428 2022/07/23 12:52:07 - mmengine - INFO - Epoch(val) [85][160/310] eta: 0:00:27 time: 0.1829 data_time: 0.1080 memory: 1428 2022/07/23 12:52:12 - mmengine - INFO - Epoch(val) [85][180/310] eta: 0:00:33 time: 0.2560 data_time: 0.1808 memory: 1428 2022/07/23 12:52:16 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:00:19 time: 0.1786 data_time: 0.1019 memory: 1428 2022/07/23 12:52:21 - mmengine - INFO - Epoch(val) [85][220/310] eta: 0:00:22 time: 0.2462 data_time: 0.1682 memory: 1428 2022/07/23 12:52:24 - mmengine - INFO - Epoch(val) [85][240/310] eta: 0:00:12 time: 0.1817 data_time: 0.1054 memory: 1428 2022/07/23 12:52:29 - mmengine - INFO - Epoch(val) [85][260/310] eta: 0:00:12 time: 0.2446 data_time: 0.1677 memory: 1428 2022/07/23 12:52:33 - mmengine - INFO - Epoch(val) [85][280/310] eta: 0:00:05 time: 0.1983 data_time: 0.1230 memory: 1428 2022/07/23 12:52:37 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:01 time: 0.1812 data_time: 0.1190 memory: 1428 2022/07/23 12:52:39 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.6658 acc/top5: 0.8657 acc/mean1: 0.6657 2022/07/23 12:52:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_85.pth is removed 2022/07/23 12:52:41 - mmengine - INFO - The best checkpoint with 0.6658 acc/top1 at 86 epoch is saved to best_acc/top1_epoch_86.pth. 2022/07/23 12:52:48 - mmengine - INFO - Epoch(train) [86][20/3757] lr: 1.0000e-04 eta: 3:43:20 time: 0.3153 data_time: 0.1204 memory: 6108 grad_norm: 9.3190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/07/23 12:52:52 - mmengine - INFO - Epoch(train) [86][40/3757] lr: 1.0000e-04 eta: 3:43:15 time: 0.2263 data_time: 0.0203 memory: 6108 grad_norm: 9.0394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/07/23 12:52:57 - mmengine - INFO - Epoch(train) [86][60/3757] lr: 1.0000e-04 eta: 3:43:10 time: 0.2349 data_time: 0.0242 memory: 6108 grad_norm: 9.1767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/07/23 12:53:01 - mmengine - INFO - Epoch(train) [86][80/3757] lr: 1.0000e-04 eta: 3:43:05 time: 0.2321 data_time: 0.0236 memory: 6108 grad_norm: 8.8130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/07/23 12:53:06 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 1.0000e-04 eta: 3:43:01 time: 0.2347 data_time: 0.0239 memory: 6108 grad_norm: 8.9662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/07/23 12:53:11 - mmengine - INFO - Epoch(train) [86][120/3757] lr: 1.0000e-04 eta: 3:42:56 time: 0.2328 data_time: 0.0213 memory: 6108 grad_norm: 9.2808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1476 loss: 1.1476 2022/07/23 12:53:16 - mmengine - INFO - Epoch(train) [86][140/3757] lr: 1.0000e-04 eta: 3:42:51 time: 0.2323 data_time: 0.0207 memory: 6108 grad_norm: 8.9191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/07/23 12:53:20 - mmengine - INFO - Epoch(train) [86][160/3757] lr: 1.0000e-04 eta: 3:42:46 time: 0.2357 data_time: 0.0205 memory: 6108 grad_norm: 9.0041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/23 12:53:25 - mmengine - INFO - Epoch(train) [86][180/3757] lr: 1.0000e-04 eta: 3:42:42 time: 0.2338 data_time: 0.0218 memory: 6108 grad_norm: 9.3290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/07/23 12:53:30 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 1.0000e-04 eta: 3:42:37 time: 0.2309 data_time: 0.0191 memory: 6108 grad_norm: 9.0216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0623 loss: 1.0623 2022/07/23 12:53:34 - mmengine - INFO - Epoch(train) [86][220/3757] lr: 1.0000e-04 eta: 3:42:32 time: 0.2367 data_time: 0.0184 memory: 6108 grad_norm: 8.9481 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2189 loss: 1.2189 2022/07/23 12:53:39 - mmengine - INFO - Epoch(train) [86][240/3757] lr: 1.0000e-04 eta: 3:42:27 time: 0.2282 data_time: 0.0221 memory: 6108 grad_norm: 9.1537 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2799 loss: 1.2799 2022/07/23 12:53:44 - mmengine - INFO - Epoch(train) [86][260/3757] lr: 1.0000e-04 eta: 3:42:22 time: 0.2409 data_time: 0.0195 memory: 6108 grad_norm: 9.4089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2166 loss: 1.2166 2022/07/23 12:53:48 - mmengine - INFO - Epoch(train) [86][280/3757] lr: 1.0000e-04 eta: 3:42:18 time: 0.2290 data_time: 0.0165 memory: 6108 grad_norm: 8.7596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3092 loss: 1.3092 2022/07/23 12:53:53 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 1.0000e-04 eta: 3:42:13 time: 0.2288 data_time: 0.0231 memory: 6108 grad_norm: 9.2480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1013 loss: 1.1013 2022/07/23 12:53:58 - mmengine - INFO - Epoch(train) [86][320/3757] lr: 1.0000e-04 eta: 3:42:08 time: 0.2297 data_time: 0.0191 memory: 6108 grad_norm: 9.3205 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/07/23 12:54:02 - mmengine - INFO - Epoch(train) [86][340/3757] lr: 1.0000e-04 eta: 3:42:03 time: 0.2345 data_time: 0.0196 memory: 6108 grad_norm: 9.0939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2739 loss: 1.2739 2022/07/23 12:54:07 - mmengine - INFO - Epoch(train) [86][360/3757] lr: 1.0000e-04 eta: 3:41:59 time: 0.2322 data_time: 0.0242 memory: 6108 grad_norm: 8.9417 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1152 loss: 1.1152 2022/07/23 12:54:12 - mmengine - INFO - Epoch(train) [86][380/3757] lr: 1.0000e-04 eta: 3:41:54 time: 0.2369 data_time: 0.0210 memory: 6108 grad_norm: 8.5473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/07/23 12:54:16 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 1.0000e-04 eta: 3:41:49 time: 0.2299 data_time: 0.0200 memory: 6108 grad_norm: 8.9201 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/07/23 12:54:21 - mmengine - INFO - Epoch(train) [86][420/3757] lr: 1.0000e-04 eta: 3:41:44 time: 0.2392 data_time: 0.0191 memory: 6108 grad_norm: 9.2073 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0041 loss: 1.0041 2022/07/23 12:54:26 - mmengine - INFO - Epoch(train) [86][440/3757] lr: 1.0000e-04 eta: 3:41:39 time: 0.2318 data_time: 0.0214 memory: 6108 grad_norm: 8.7484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/07/23 12:54:31 - mmengine - INFO - Epoch(train) [86][460/3757] lr: 1.0000e-04 eta: 3:41:35 time: 0.2339 data_time: 0.0230 memory: 6108 grad_norm: 9.0177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1755 loss: 1.1755 2022/07/23 12:54:35 - mmengine - INFO - Epoch(train) [86][480/3757] lr: 1.0000e-04 eta: 3:41:30 time: 0.2291 data_time: 0.0251 memory: 6108 grad_norm: 9.0865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3008 loss: 1.3008 2022/07/23 12:54:40 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 1.0000e-04 eta: 3:41:25 time: 0.2325 data_time: 0.0173 memory: 6108 grad_norm: 9.6464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4201 loss: 1.4201 2022/07/23 12:54:45 - mmengine - INFO - Epoch(train) [86][520/3757] lr: 1.0000e-04 eta: 3:41:20 time: 0.2338 data_time: 0.0216 memory: 6108 grad_norm: 8.8204 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1443 loss: 1.1443 2022/07/23 12:54:49 - mmengine - INFO - Epoch(train) [86][540/3757] lr: 1.0000e-04 eta: 3:41:16 time: 0.2293 data_time: 0.0216 memory: 6108 grad_norm: 9.2460 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9808 loss: 0.9808 2022/07/23 12:54:54 - mmengine - INFO - Epoch(train) [86][560/3757] lr: 1.0000e-04 eta: 3:41:11 time: 0.2339 data_time: 0.0189 memory: 6108 grad_norm: 9.1981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3245 loss: 1.3245 2022/07/23 12:54:59 - mmengine - INFO - Epoch(train) [86][580/3757] lr: 1.0000e-04 eta: 3:41:06 time: 0.2315 data_time: 0.0248 memory: 6108 grad_norm: 9.1469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3832 loss: 1.3832 2022/07/23 12:55:04 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 1.0000e-04 eta: 3:41:01 time: 0.2489 data_time: 0.0227 memory: 6108 grad_norm: 9.0288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1564 loss: 1.1564 2022/07/23 12:55:08 - mmengine - INFO - Epoch(train) [86][620/3757] lr: 1.0000e-04 eta: 3:40:56 time: 0.2302 data_time: 0.0223 memory: 6108 grad_norm: 9.0406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/07/23 12:55:13 - mmengine - INFO - Epoch(train) [86][640/3757] lr: 1.0000e-04 eta: 3:40:52 time: 0.2342 data_time: 0.0218 memory: 6108 grad_norm: 8.8649 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0030 loss: 1.0030 2022/07/23 12:55:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:55:18 - mmengine - INFO - Epoch(train) [86][660/3757] lr: 1.0000e-04 eta: 3:40:47 time: 0.2343 data_time: 0.0246 memory: 6108 grad_norm: 8.9084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2770 loss: 1.2770 2022/07/23 12:55:22 - mmengine - INFO - Epoch(train) [86][680/3757] lr: 1.0000e-04 eta: 3:40:42 time: 0.2258 data_time: 0.0195 memory: 6108 grad_norm: 9.1233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/07/23 12:55:27 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 1.0000e-04 eta: 3:40:37 time: 0.2358 data_time: 0.0229 memory: 6108 grad_norm: 8.8824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/07/23 12:55:32 - mmengine - INFO - Epoch(train) [86][720/3757] lr: 1.0000e-04 eta: 3:40:33 time: 0.2342 data_time: 0.0245 memory: 6108 grad_norm: 9.0280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/23 12:55:36 - mmengine - INFO - Epoch(train) [86][740/3757] lr: 1.0000e-04 eta: 3:40:28 time: 0.2282 data_time: 0.0232 memory: 6108 grad_norm: 8.8549 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/07/23 12:55:41 - mmengine - INFO - Epoch(train) [86][760/3757] lr: 1.0000e-04 eta: 3:40:23 time: 0.2347 data_time: 0.0238 memory: 6108 grad_norm: 9.1613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/07/23 12:55:46 - mmengine - INFO - Epoch(train) [86][780/3757] lr: 1.0000e-04 eta: 3:40:18 time: 0.2402 data_time: 0.0274 memory: 6108 grad_norm: 9.0698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1814 loss: 1.1814 2022/07/23 12:55:51 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 1.0000e-04 eta: 3:40:14 time: 0.2329 data_time: 0.0197 memory: 6108 grad_norm: 9.3906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3060 loss: 1.3060 2022/07/23 12:55:55 - mmengine - INFO - Epoch(train) [86][820/3757] lr: 1.0000e-04 eta: 3:40:09 time: 0.2326 data_time: 0.0230 memory: 6108 grad_norm: 8.7334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/23 12:56:00 - mmengine - INFO - Epoch(train) [86][840/3757] lr: 1.0000e-04 eta: 3:40:04 time: 0.2324 data_time: 0.0237 memory: 6108 grad_norm: 8.9980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1722 loss: 1.1722 2022/07/23 12:56:05 - mmengine - INFO - Epoch(train) [86][860/3757] lr: 1.0000e-04 eta: 3:39:59 time: 0.2311 data_time: 0.0215 memory: 6108 grad_norm: 9.4414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/07/23 12:56:09 - mmengine - INFO - Epoch(train) [86][880/3757] lr: 1.0000e-04 eta: 3:39:54 time: 0.2306 data_time: 0.0221 memory: 6108 grad_norm: 8.9550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/23 12:56:14 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 1.0000e-04 eta: 3:39:50 time: 0.2357 data_time: 0.0242 memory: 6108 grad_norm: 8.8392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/07/23 12:56:19 - mmengine - INFO - Epoch(train) [86][920/3757] lr: 1.0000e-04 eta: 3:39:45 time: 0.2294 data_time: 0.0227 memory: 6108 grad_norm: 8.9349 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0885 loss: 1.0885 2022/07/23 12:56:23 - mmengine - INFO - Epoch(train) [86][940/3757] lr: 1.0000e-04 eta: 3:39:40 time: 0.2361 data_time: 0.0215 memory: 6108 grad_norm: 9.1097 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/07/23 12:56:28 - mmengine - INFO - Epoch(train) [86][960/3757] lr: 1.0000e-04 eta: 3:39:35 time: 0.2316 data_time: 0.0228 memory: 6108 grad_norm: 8.9251 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2379 loss: 1.2379 2022/07/23 12:56:33 - mmengine - INFO - Epoch(train) [86][980/3757] lr: 1.0000e-04 eta: 3:39:31 time: 0.2355 data_time: 0.0224 memory: 6108 grad_norm: 8.8139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2426 loss: 1.2426 2022/07/23 12:56:37 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 1.0000e-04 eta: 3:39:26 time: 0.2291 data_time: 0.0205 memory: 6108 grad_norm: 8.9153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0072 loss: 1.0072 2022/07/23 12:56:42 - mmengine - INFO - Epoch(train) [86][1020/3757] lr: 1.0000e-04 eta: 3:39:21 time: 0.2401 data_time: 0.0260 memory: 6108 grad_norm: 8.9579 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3531 loss: 1.3531 2022/07/23 12:56:47 - mmengine - INFO - Epoch(train) [86][1040/3757] lr: 1.0000e-04 eta: 3:39:16 time: 0.2308 data_time: 0.0205 memory: 6108 grad_norm: 8.9062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0284 loss: 1.0284 2022/07/23 12:56:52 - mmengine - INFO - Epoch(train) [86][1060/3757] lr: 1.0000e-04 eta: 3:39:12 time: 0.2406 data_time: 0.0205 memory: 6108 grad_norm: 8.9251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/07/23 12:56:56 - mmengine - INFO - Epoch(train) [86][1080/3757] lr: 1.0000e-04 eta: 3:39:07 time: 0.2270 data_time: 0.0255 memory: 6108 grad_norm: 9.0400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/23 12:57:01 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 1.0000e-04 eta: 3:39:02 time: 0.2289 data_time: 0.0177 memory: 6108 grad_norm: 8.9139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/07/23 12:57:06 - mmengine - INFO - Epoch(train) [86][1120/3757] lr: 1.0000e-04 eta: 3:38:57 time: 0.2338 data_time: 0.0205 memory: 6108 grad_norm: 9.2431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1521 loss: 1.1521 2022/07/23 12:57:10 - mmengine - INFO - Epoch(train) [86][1140/3757] lr: 1.0000e-04 eta: 3:38:52 time: 0.2374 data_time: 0.0263 memory: 6108 grad_norm: 9.2416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2820 loss: 1.2820 2022/07/23 12:57:15 - mmengine - INFO - Epoch(train) [86][1160/3757] lr: 1.0000e-04 eta: 3:38:48 time: 0.2303 data_time: 0.0200 memory: 6108 grad_norm: 9.5629 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/07/23 12:57:20 - mmengine - INFO - Epoch(train) [86][1180/3757] lr: 1.0000e-04 eta: 3:38:43 time: 0.2322 data_time: 0.0208 memory: 6108 grad_norm: 8.6896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/07/23 12:57:24 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 1.0000e-04 eta: 3:38:38 time: 0.2273 data_time: 0.0209 memory: 6108 grad_norm: 8.9243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/07/23 12:57:29 - mmengine - INFO - Epoch(train) [86][1220/3757] lr: 1.0000e-04 eta: 3:38:33 time: 0.2444 data_time: 0.0222 memory: 6108 grad_norm: 9.2547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2969 loss: 1.2969 2022/07/23 12:57:34 - mmengine - INFO - Epoch(train) [86][1240/3757] lr: 1.0000e-04 eta: 3:38:29 time: 0.2417 data_time: 0.0234 memory: 6108 grad_norm: 9.3104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/07/23 12:57:39 - mmengine - INFO - Epoch(train) [86][1260/3757] lr: 1.0000e-04 eta: 3:38:24 time: 0.2348 data_time: 0.0248 memory: 6108 grad_norm: 9.0432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/07/23 12:57:43 - mmengine - INFO - Epoch(train) [86][1280/3757] lr: 1.0000e-04 eta: 3:38:19 time: 0.2328 data_time: 0.0263 memory: 6108 grad_norm: 9.0727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3479 loss: 1.3479 2022/07/23 12:57:48 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 1.0000e-04 eta: 3:38:14 time: 0.2366 data_time: 0.0266 memory: 6108 grad_norm: 9.0050 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/07/23 12:57:58 - mmengine - INFO - Epoch(train) [86][1320/3757] lr: 1.0000e-04 eta: 3:38:10 time: 0.4670 data_time: 0.0310 memory: 6108 grad_norm: 9.1888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/07/23 12:58:02 - mmengine - INFO - Epoch(train) [86][1340/3757] lr: 1.0000e-04 eta: 3:38:05 time: 0.2286 data_time: 0.0245 memory: 6108 grad_norm: 8.9535 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/07/23 12:58:07 - mmengine - INFO - Epoch(train) [86][1360/3757] lr: 1.0000e-04 eta: 3:38:01 time: 0.2341 data_time: 0.0206 memory: 6108 grad_norm: 8.9699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3867 loss: 1.3867 2022/07/23 12:58:12 - mmengine - INFO - Epoch(train) [86][1380/3757] lr: 1.0000e-04 eta: 3:37:56 time: 0.2346 data_time: 0.0189 memory: 6108 grad_norm: 8.6550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/07/23 12:58:16 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 1.0000e-04 eta: 3:37:51 time: 0.2298 data_time: 0.0217 memory: 6108 grad_norm: 8.8313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1964 loss: 1.1964 2022/07/23 12:58:21 - mmengine - INFO - Epoch(train) [86][1420/3757] lr: 1.0000e-04 eta: 3:37:46 time: 0.2345 data_time: 0.0199 memory: 6108 grad_norm: 8.9738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1896 loss: 1.1896 2022/07/23 12:58:26 - mmengine - INFO - Epoch(train) [86][1440/3757] lr: 1.0000e-04 eta: 3:37:42 time: 0.2318 data_time: 0.0208 memory: 6108 grad_norm: 9.1557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/07/23 12:58:30 - mmengine - INFO - Epoch(train) [86][1460/3757] lr: 1.0000e-04 eta: 3:37:37 time: 0.2356 data_time: 0.0230 memory: 6108 grad_norm: 8.9176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/07/23 12:58:35 - mmengine - INFO - Epoch(train) [86][1480/3757] lr: 1.0000e-04 eta: 3:37:32 time: 0.2545 data_time: 0.0209 memory: 6108 grad_norm: 8.4612 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1119 loss: 1.1119 2022/07/23 12:58:40 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 1.0000e-04 eta: 3:37:27 time: 0.2217 data_time: 0.0175 memory: 6108 grad_norm: 9.0622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/07/23 12:58:45 - mmengine - INFO - Epoch(train) [86][1520/3757] lr: 1.0000e-04 eta: 3:37:23 time: 0.2313 data_time: 0.0193 memory: 6108 grad_norm: 8.9157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/07/23 12:58:49 - mmengine - INFO - Epoch(train) [86][1540/3757] lr: 1.0000e-04 eta: 3:37:18 time: 0.2325 data_time: 0.0272 memory: 6108 grad_norm: 9.3347 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1713 loss: 1.1713 2022/07/23 12:58:54 - mmengine - INFO - Epoch(train) [86][1560/3757] lr: 1.0000e-04 eta: 3:37:13 time: 0.2298 data_time: 0.0258 memory: 6108 grad_norm: 8.9950 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/07/23 12:58:59 - mmengine - INFO - Epoch(train) [86][1580/3757] lr: 1.0000e-04 eta: 3:37:08 time: 0.2327 data_time: 0.0255 memory: 6108 grad_norm: 9.0321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2050 loss: 1.2050 2022/07/23 12:59:03 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 1.0000e-04 eta: 3:37:03 time: 0.2281 data_time: 0.0275 memory: 6108 grad_norm: 8.9549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3263 loss: 1.3263 2022/07/23 12:59:08 - mmengine - INFO - Epoch(train) [86][1620/3757] lr: 1.0000e-04 eta: 3:36:59 time: 0.2299 data_time: 0.0199 memory: 6108 grad_norm: 8.9348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/07/23 12:59:12 - mmengine - INFO - Epoch(train) [86][1640/3757] lr: 1.0000e-04 eta: 3:36:54 time: 0.2363 data_time: 0.0285 memory: 6108 grad_norm: 9.2006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1832 loss: 1.1832 2022/07/23 12:59:16 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 12:59:17 - mmengine - INFO - Epoch(train) [86][1660/3757] lr: 1.0000e-04 eta: 3:36:49 time: 0.2336 data_time: 0.0230 memory: 6108 grad_norm: 8.9089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0542 loss: 1.0542 2022/07/23 12:59:22 - mmengine - INFO - Epoch(train) [86][1680/3757] lr: 1.0000e-04 eta: 3:36:44 time: 0.2319 data_time: 0.0232 memory: 6108 grad_norm: 9.0544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/07/23 12:59:27 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 1.0000e-04 eta: 3:36:40 time: 0.2339 data_time: 0.0230 memory: 6108 grad_norm: 9.1503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/07/23 12:59:31 - mmengine - INFO - Epoch(train) [86][1720/3757] lr: 1.0000e-04 eta: 3:36:35 time: 0.2372 data_time: 0.0261 memory: 6108 grad_norm: 9.1896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1475 loss: 1.1475 2022/07/23 12:59:36 - mmengine - INFO - Epoch(train) [86][1740/3757] lr: 1.0000e-04 eta: 3:36:30 time: 0.2324 data_time: 0.0172 memory: 6108 grad_norm: 9.0023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1504 loss: 1.1504 2022/07/23 12:59:41 - mmengine - INFO - Epoch(train) [86][1760/3757] lr: 1.0000e-04 eta: 3:36:25 time: 0.2296 data_time: 0.0225 memory: 6108 grad_norm: 8.6352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0768 loss: 1.0768 2022/07/23 12:59:45 - mmengine - INFO - Epoch(train) [86][1780/3757] lr: 1.0000e-04 eta: 3:36:20 time: 0.2323 data_time: 0.0236 memory: 6108 grad_norm: 8.9394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2248 loss: 1.2248 2022/07/23 12:59:50 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 1.0000e-04 eta: 3:36:16 time: 0.2381 data_time: 0.0194 memory: 6108 grad_norm: 9.0536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/07/23 12:59:55 - mmengine - INFO - Epoch(train) [86][1820/3757] lr: 1.0000e-04 eta: 3:36:11 time: 0.2290 data_time: 0.0218 memory: 6108 grad_norm: 9.0873 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1982 loss: 1.1982 2022/07/23 12:59:59 - mmengine - INFO - Epoch(train) [86][1840/3757] lr: 1.0000e-04 eta: 3:36:06 time: 0.2370 data_time: 0.0281 memory: 6108 grad_norm: 8.9241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/07/23 13:00:04 - mmengine - INFO - Epoch(train) [86][1860/3757] lr: 1.0000e-04 eta: 3:36:01 time: 0.2388 data_time: 0.0222 memory: 6108 grad_norm: 9.0266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/07/23 13:00:09 - mmengine - INFO - Epoch(train) [86][1880/3757] lr: 1.0000e-04 eta: 3:35:57 time: 0.2289 data_time: 0.0219 memory: 6108 grad_norm: 8.7707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/07/23 13:00:14 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 1.0000e-04 eta: 3:35:52 time: 0.2366 data_time: 0.0268 memory: 6108 grad_norm: 9.3727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1313 loss: 1.1313 2022/07/23 13:00:18 - mmengine - INFO - Epoch(train) [86][1920/3757] lr: 1.0000e-04 eta: 3:35:47 time: 0.2271 data_time: 0.0275 memory: 6108 grad_norm: 8.6148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1739 loss: 1.1739 2022/07/23 13:00:23 - mmengine - INFO - Epoch(train) [86][1940/3757] lr: 1.0000e-04 eta: 3:35:42 time: 0.2441 data_time: 0.0242 memory: 6108 grad_norm: 8.7527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1602 loss: 1.1602 2022/07/23 13:00:28 - mmengine - INFO - Epoch(train) [86][1960/3757] lr: 1.0000e-04 eta: 3:35:38 time: 0.2312 data_time: 0.0242 memory: 6108 grad_norm: 8.9656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2008 loss: 1.2008 2022/07/23 13:00:33 - mmengine - INFO - Epoch(train) [86][1980/3757] lr: 1.0000e-04 eta: 3:35:33 time: 0.2479 data_time: 0.0178 memory: 6108 grad_norm: 9.0518 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0144 loss: 1.0144 2022/07/23 13:00:37 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 1.0000e-04 eta: 3:35:28 time: 0.2294 data_time: 0.0274 memory: 6108 grad_norm: 8.9412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1487 loss: 1.1487 2022/07/23 13:00:42 - mmengine - INFO - Epoch(train) [86][2020/3757] lr: 1.0000e-04 eta: 3:35:23 time: 0.2329 data_time: 0.0261 memory: 6108 grad_norm: 9.8107 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4500 loss: 1.4500 2022/07/23 13:00:47 - mmengine - INFO - Epoch(train) [86][2040/3757] lr: 1.0000e-04 eta: 3:35:19 time: 0.2310 data_time: 0.0193 memory: 6108 grad_norm: 9.1407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/07/23 13:00:52 - mmengine - INFO - Epoch(train) [86][2060/3757] lr: 1.0000e-04 eta: 3:35:14 time: 0.2380 data_time: 0.0191 memory: 6108 grad_norm: 8.8635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/07/23 13:00:56 - mmengine - INFO - Epoch(train) [86][2080/3757] lr: 1.0000e-04 eta: 3:35:09 time: 0.2297 data_time: 0.0244 memory: 6108 grad_norm: 8.9111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1132 loss: 1.1132 2022/07/23 13:01:01 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 1.0000e-04 eta: 3:35:04 time: 0.2307 data_time: 0.0218 memory: 6108 grad_norm: 9.1683 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0636 loss: 1.0636 2022/07/23 13:01:06 - mmengine - INFO - Epoch(train) [86][2120/3757] lr: 1.0000e-04 eta: 3:34:59 time: 0.2471 data_time: 0.0198 memory: 6108 grad_norm: 8.7955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1362 loss: 1.1362 2022/07/23 13:01:10 - mmengine - INFO - Epoch(train) [86][2140/3757] lr: 1.0000e-04 eta: 3:34:55 time: 0.2347 data_time: 0.0281 memory: 6108 grad_norm: 9.0041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/07/23 13:01:15 - mmengine - INFO - Epoch(train) [86][2160/3757] lr: 1.0000e-04 eta: 3:34:50 time: 0.2407 data_time: 0.0161 memory: 6108 grad_norm: 9.1261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3471 loss: 1.3471 2022/07/23 13:01:20 - mmengine - INFO - Epoch(train) [86][2180/3757] lr: 1.0000e-04 eta: 3:34:45 time: 0.2318 data_time: 0.0224 memory: 6108 grad_norm: 9.1581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/07/23 13:01:25 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 1.0000e-04 eta: 3:34:40 time: 0.2339 data_time: 0.0293 memory: 6108 grad_norm: 9.0552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4643 loss: 1.4643 2022/07/23 13:01:29 - mmengine - INFO - Epoch(train) [86][2220/3757] lr: 1.0000e-04 eta: 3:34:36 time: 0.2309 data_time: 0.0263 memory: 6108 grad_norm: 9.0928 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1162 loss: 1.1162 2022/07/23 13:01:34 - mmengine - INFO - Epoch(train) [86][2240/3757] lr: 1.0000e-04 eta: 3:34:31 time: 0.2551 data_time: 0.0209 memory: 6108 grad_norm: 8.7461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/07/23 13:01:39 - mmengine - INFO - Epoch(train) [86][2260/3757] lr: 1.0000e-04 eta: 3:34:26 time: 0.2300 data_time: 0.0232 memory: 6108 grad_norm: 8.8072 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6721 loss: 0.6721 2022/07/23 13:01:44 - mmengine - INFO - Epoch(train) [86][2280/3757] lr: 1.0000e-04 eta: 3:34:21 time: 0.2345 data_time: 0.0211 memory: 6108 grad_norm: 9.6547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0534 loss: 1.0534 2022/07/23 13:01:48 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 1.0000e-04 eta: 3:34:17 time: 0.2258 data_time: 0.0215 memory: 6108 grad_norm: 9.4254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3597 loss: 1.3597 2022/07/23 13:01:53 - mmengine - INFO - Epoch(train) [86][2320/3757] lr: 1.0000e-04 eta: 3:34:12 time: 0.2398 data_time: 0.0215 memory: 6108 grad_norm: 8.8248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/07/23 13:01:58 - mmengine - INFO - Epoch(train) [86][2340/3757] lr: 1.0000e-04 eta: 3:34:07 time: 0.2296 data_time: 0.0185 memory: 6108 grad_norm: 9.0410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3437 loss: 1.3437 2022/07/23 13:02:03 - mmengine - INFO - Epoch(train) [86][2360/3757] lr: 1.0000e-04 eta: 3:34:02 time: 0.2327 data_time: 0.0198 memory: 6108 grad_norm: 9.4945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/07/23 13:02:07 - mmengine - INFO - Epoch(train) [86][2380/3757] lr: 1.0000e-04 eta: 3:33:57 time: 0.2321 data_time: 0.0250 memory: 6108 grad_norm: 9.1290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2859 loss: 1.2859 2022/07/23 13:02:12 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 1.0000e-04 eta: 3:33:53 time: 0.2299 data_time: 0.0228 memory: 6108 grad_norm: 8.9321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3606 loss: 1.3606 2022/07/23 13:02:16 - mmengine - INFO - Epoch(train) [86][2420/3757] lr: 1.0000e-04 eta: 3:33:48 time: 0.2288 data_time: 0.0193 memory: 6108 grad_norm: 9.0866 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2449 loss: 1.2449 2022/07/23 13:02:21 - mmengine - INFO - Epoch(train) [86][2440/3757] lr: 1.0000e-04 eta: 3:33:43 time: 0.2307 data_time: 0.0285 memory: 6108 grad_norm: 9.0244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1812 loss: 1.1812 2022/07/23 13:02:26 - mmengine - INFO - Epoch(train) [86][2460/3757] lr: 1.0000e-04 eta: 3:33:38 time: 0.2354 data_time: 0.0282 memory: 6108 grad_norm: 9.0637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2547 loss: 1.2547 2022/07/23 13:02:31 - mmengine - INFO - Epoch(train) [86][2480/3757] lr: 1.0000e-04 eta: 3:33:34 time: 0.2352 data_time: 0.0203 memory: 6108 grad_norm: 8.6767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3007 loss: 1.3007 2022/07/23 13:02:35 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 1.0000e-04 eta: 3:33:29 time: 0.2309 data_time: 0.0259 memory: 6108 grad_norm: 9.1267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2770 loss: 1.2770 2022/07/23 13:02:40 - mmengine - INFO - Epoch(train) [86][2520/3757] lr: 1.0000e-04 eta: 3:33:24 time: 0.2289 data_time: 0.0208 memory: 6108 grad_norm: 9.0017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2281 loss: 1.2281 2022/07/23 13:02:44 - mmengine - INFO - Epoch(train) [86][2540/3757] lr: 1.0000e-04 eta: 3:33:19 time: 0.2326 data_time: 0.0187 memory: 6108 grad_norm: 9.3651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/07/23 13:02:49 - mmengine - INFO - Epoch(train) [86][2560/3757] lr: 1.0000e-04 eta: 3:33:14 time: 0.2265 data_time: 0.0242 memory: 6108 grad_norm: 8.7376 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0134 loss: 1.0134 2022/07/23 13:02:54 - mmengine - INFO - Epoch(train) [86][2580/3757] lr: 1.0000e-04 eta: 3:33:10 time: 0.2327 data_time: 0.0300 memory: 6108 grad_norm: 9.0579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4614 loss: 1.4614 2022/07/23 13:02:58 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 1.0000e-04 eta: 3:33:05 time: 0.2302 data_time: 0.0241 memory: 6108 grad_norm: 9.6826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0519 loss: 1.0519 2022/07/23 13:03:03 - mmengine - INFO - Epoch(train) [86][2620/3757] lr: 1.0000e-04 eta: 3:33:00 time: 0.2273 data_time: 0.0219 memory: 6108 grad_norm: 9.1163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2554 loss: 1.2554 2022/07/23 13:03:08 - mmengine - INFO - Epoch(train) [86][2640/3757] lr: 1.0000e-04 eta: 3:32:55 time: 0.2310 data_time: 0.0222 memory: 6108 grad_norm: 9.0923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/07/23 13:03:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:03:12 - mmengine - INFO - Epoch(train) [86][2660/3757] lr: 1.0000e-04 eta: 3:32:51 time: 0.2319 data_time: 0.0221 memory: 6108 grad_norm: 8.5862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8326 loss: 0.8326 2022/07/23 13:03:17 - mmengine - INFO - Epoch(train) [86][2680/3757] lr: 1.0000e-04 eta: 3:32:46 time: 0.2311 data_time: 0.0233 memory: 6108 grad_norm: 8.9050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9349 loss: 0.9349 2022/07/23 13:03:21 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 1.0000e-04 eta: 3:32:41 time: 0.2287 data_time: 0.0203 memory: 6108 grad_norm: 8.9376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1784 loss: 1.1784 2022/07/23 13:03:26 - mmengine - INFO - Epoch(train) [86][2720/3757] lr: 1.0000e-04 eta: 3:32:36 time: 0.2319 data_time: 0.0188 memory: 6108 grad_norm: 9.2159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/07/23 13:03:31 - mmengine - INFO - Epoch(train) [86][2740/3757] lr: 1.0000e-04 eta: 3:32:31 time: 0.2338 data_time: 0.0250 memory: 6108 grad_norm: 9.2440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/07/23 13:03:35 - mmengine - INFO - Epoch(train) [86][2760/3757] lr: 1.0000e-04 eta: 3:32:27 time: 0.2259 data_time: 0.0195 memory: 6108 grad_norm: 9.3646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2950 loss: 1.2950 2022/07/23 13:03:40 - mmengine - INFO - Epoch(train) [86][2780/3757] lr: 1.0000e-04 eta: 3:32:22 time: 0.2313 data_time: 0.0202 memory: 6108 grad_norm: 9.5305 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4010 loss: 1.4010 2022/07/23 13:03:45 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 1.0000e-04 eta: 3:32:17 time: 0.2417 data_time: 0.0236 memory: 6108 grad_norm: 9.0754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/07/23 13:03:50 - mmengine - INFO - Epoch(train) [86][2820/3757] lr: 1.0000e-04 eta: 3:32:12 time: 0.2280 data_time: 0.0207 memory: 6108 grad_norm: 9.4189 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0865 loss: 1.0865 2022/07/23 13:03:54 - mmengine - INFO - Epoch(train) [86][2840/3757] lr: 1.0000e-04 eta: 3:32:08 time: 0.2343 data_time: 0.0271 memory: 6108 grad_norm: 9.0497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/07/23 13:03:59 - mmengine - INFO - Epoch(train) [86][2860/3757] lr: 1.0000e-04 eta: 3:32:03 time: 0.2299 data_time: 0.0290 memory: 6108 grad_norm: 9.5307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2453 loss: 1.2453 2022/07/23 13:04:04 - mmengine - INFO - Epoch(train) [86][2880/3757] lr: 1.0000e-04 eta: 3:31:58 time: 0.2420 data_time: 0.0199 memory: 6108 grad_norm: 9.0543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1287 loss: 1.1287 2022/07/23 13:04:08 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 1.0000e-04 eta: 3:31:53 time: 0.2282 data_time: 0.0226 memory: 6108 grad_norm: 8.8999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/07/23 13:04:13 - mmengine - INFO - Epoch(train) [86][2920/3757] lr: 1.0000e-04 eta: 3:31:48 time: 0.2387 data_time: 0.0225 memory: 6108 grad_norm: 8.9192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3070 loss: 1.3070 2022/07/23 13:04:18 - mmengine - INFO - Epoch(train) [86][2940/3757] lr: 1.0000e-04 eta: 3:31:44 time: 0.2307 data_time: 0.0262 memory: 6108 grad_norm: 9.3417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0592 loss: 1.0592 2022/07/23 13:04:22 - mmengine - INFO - Epoch(train) [86][2960/3757] lr: 1.0000e-04 eta: 3:31:39 time: 0.2320 data_time: 0.0240 memory: 6108 grad_norm: 9.3334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2986 loss: 1.2986 2022/07/23 13:04:27 - mmengine - INFO - Epoch(train) [86][2980/3757] lr: 1.0000e-04 eta: 3:31:34 time: 0.2298 data_time: 0.0263 memory: 6108 grad_norm: 8.8911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8626 loss: 0.8626 2022/07/23 13:04:32 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 1.0000e-04 eta: 3:31:29 time: 0.2331 data_time: 0.0193 memory: 6108 grad_norm: 8.8824 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2922 loss: 1.2922 2022/07/23 13:04:36 - mmengine - INFO - Epoch(train) [86][3020/3757] lr: 1.0000e-04 eta: 3:31:25 time: 0.2353 data_time: 0.0240 memory: 6108 grad_norm: 8.9497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1608 loss: 1.1608 2022/07/23 13:04:41 - mmengine - INFO - Epoch(train) [86][3040/3757] lr: 1.0000e-04 eta: 3:31:20 time: 0.2412 data_time: 0.0211 memory: 6108 grad_norm: 9.2483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9601 loss: 0.9601 2022/07/23 13:04:46 - mmengine - INFO - Epoch(train) [86][3060/3757] lr: 1.0000e-04 eta: 3:31:15 time: 0.2303 data_time: 0.0237 memory: 6108 grad_norm: 9.2015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/07/23 13:04:51 - mmengine - INFO - Epoch(train) [86][3080/3757] lr: 1.0000e-04 eta: 3:31:10 time: 0.2369 data_time: 0.0276 memory: 6108 grad_norm: 9.1936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4995 loss: 1.4995 2022/07/23 13:04:55 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 1.0000e-04 eta: 3:31:06 time: 0.2319 data_time: 0.0232 memory: 6108 grad_norm: 8.9039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1537 loss: 1.1537 2022/07/23 13:05:00 - mmengine - INFO - Epoch(train) [86][3120/3757] lr: 1.0000e-04 eta: 3:31:01 time: 0.2308 data_time: 0.0205 memory: 6108 grad_norm: 9.1865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/07/23 13:05:05 - mmengine - INFO - Epoch(train) [86][3140/3757] lr: 1.0000e-04 eta: 3:30:56 time: 0.2433 data_time: 0.0183 memory: 6108 grad_norm: 8.6932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0677 loss: 1.0677 2022/07/23 13:05:10 - mmengine - INFO - Epoch(train) [86][3160/3757] lr: 1.0000e-04 eta: 3:30:51 time: 0.2314 data_time: 0.0234 memory: 6108 grad_norm: 9.1497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2548 loss: 1.2548 2022/07/23 13:05:14 - mmengine - INFO - Epoch(train) [86][3180/3757] lr: 1.0000e-04 eta: 3:30:47 time: 0.2419 data_time: 0.0199 memory: 6108 grad_norm: 9.3579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4620 loss: 1.4620 2022/07/23 13:05:19 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 1.0000e-04 eta: 3:30:42 time: 0.2347 data_time: 0.0241 memory: 6108 grad_norm: 8.6776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/07/23 13:05:24 - mmengine - INFO - Epoch(train) [86][3220/3757] lr: 1.0000e-04 eta: 3:30:37 time: 0.2329 data_time: 0.0234 memory: 6108 grad_norm: 9.0853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/07/23 13:05:28 - mmengine - INFO - Epoch(train) [86][3240/3757] lr: 1.0000e-04 eta: 3:30:32 time: 0.2254 data_time: 0.0193 memory: 6108 grad_norm: 9.0953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/07/23 13:05:33 - mmengine - INFO - Epoch(train) [86][3260/3757] lr: 1.0000e-04 eta: 3:30:27 time: 0.2362 data_time: 0.0234 memory: 6108 grad_norm: 9.0060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1170 loss: 1.1170 2022/07/23 13:05:38 - mmengine - INFO - Epoch(train) [86][3280/3757] lr: 1.0000e-04 eta: 3:30:23 time: 0.2296 data_time: 0.0233 memory: 6108 grad_norm: 9.0372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0447 loss: 1.0447 2022/07/23 13:05:42 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 1.0000e-04 eta: 3:30:18 time: 0.2203 data_time: 0.0212 memory: 6108 grad_norm: 9.1589 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/07/23 13:05:47 - mmengine - INFO - Epoch(train) [86][3320/3757] lr: 1.0000e-04 eta: 3:30:13 time: 0.2308 data_time: 0.0228 memory: 6108 grad_norm: 9.2680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/07/23 13:05:52 - mmengine - INFO - Epoch(train) [86][3340/3757] lr: 1.0000e-04 eta: 3:30:08 time: 0.2567 data_time: 0.0391 memory: 6108 grad_norm: 9.0768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1256 loss: 1.1256 2022/07/23 13:05:57 - mmengine - INFO - Epoch(train) [86][3360/3757] lr: 1.0000e-04 eta: 3:30:04 time: 0.2275 data_time: 0.0179 memory: 6108 grad_norm: 9.3104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0740 loss: 1.0740 2022/07/23 13:06:01 - mmengine - INFO - Epoch(train) [86][3380/3757] lr: 1.0000e-04 eta: 3:29:59 time: 0.2289 data_time: 0.0193 memory: 6108 grad_norm: 9.3029 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/07/23 13:06:06 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 1.0000e-04 eta: 3:29:54 time: 0.2299 data_time: 0.0236 memory: 6108 grad_norm: 8.8632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/07/23 13:06:10 - mmengine - INFO - Epoch(train) [86][3420/3757] lr: 1.0000e-04 eta: 3:29:49 time: 0.2240 data_time: 0.0204 memory: 6108 grad_norm: 9.1977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9828 loss: 0.9828 2022/07/23 13:06:15 - mmengine - INFO - Epoch(train) [86][3440/3757] lr: 1.0000e-04 eta: 3:29:44 time: 0.2415 data_time: 0.0182 memory: 6108 grad_norm: 9.1010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9755 loss: 0.9755 2022/07/23 13:06:20 - mmengine - INFO - Epoch(train) [86][3460/3757] lr: 1.0000e-04 eta: 3:29:40 time: 0.2305 data_time: 0.0200 memory: 6108 grad_norm: 8.8607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1278 loss: 1.1278 2022/07/23 13:06:25 - mmengine - INFO - Epoch(train) [86][3480/3757] lr: 1.0000e-04 eta: 3:29:35 time: 0.2421 data_time: 0.0205 memory: 6108 grad_norm: 9.2389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4522 loss: 1.4522 2022/07/23 13:06:29 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 1.0000e-04 eta: 3:29:30 time: 0.2353 data_time: 0.0227 memory: 6108 grad_norm: 9.1231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/07/23 13:06:35 - mmengine - INFO - Epoch(train) [86][3520/3757] lr: 1.0000e-04 eta: 3:29:25 time: 0.2553 data_time: 0.0266 memory: 6108 grad_norm: 8.8401 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9809 loss: 0.9809 2022/07/23 13:06:39 - mmengine - INFO - Epoch(train) [86][3540/3757] lr: 1.0000e-04 eta: 3:29:21 time: 0.2285 data_time: 0.0204 memory: 6108 grad_norm: 9.0225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1286 loss: 1.1286 2022/07/23 13:06:44 - mmengine - INFO - Epoch(train) [86][3560/3757] lr: 1.0000e-04 eta: 3:29:16 time: 0.2313 data_time: 0.0259 memory: 6108 grad_norm: 8.9404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1186 loss: 1.1186 2022/07/23 13:06:48 - mmengine - INFO - Epoch(train) [86][3580/3757] lr: 1.0000e-04 eta: 3:29:11 time: 0.2263 data_time: 0.0235 memory: 6108 grad_norm: 9.1472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/07/23 13:06:53 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 1.0000e-04 eta: 3:29:06 time: 0.2429 data_time: 0.0197 memory: 6108 grad_norm: 9.0758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2893 loss: 1.2893 2022/07/23 13:06:58 - mmengine - INFO - Epoch(train) [86][3620/3757] lr: 1.0000e-04 eta: 3:29:02 time: 0.2275 data_time: 0.0205 memory: 6108 grad_norm: 9.6760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3648 loss: 1.3648 2022/07/23 13:07:03 - mmengine - INFO - Epoch(train) [86][3640/3757] lr: 1.0000e-04 eta: 3:28:57 time: 0.2362 data_time: 0.0276 memory: 6108 grad_norm: 8.8709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1741 loss: 1.1741 2022/07/23 13:07:06 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:07:07 - mmengine - INFO - Epoch(train) [86][3660/3757] lr: 1.0000e-04 eta: 3:28:52 time: 0.2294 data_time: 0.0216 memory: 6108 grad_norm: 9.5742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/07/23 13:07:12 - mmengine - INFO - Epoch(train) [86][3680/3757] lr: 1.0000e-04 eta: 3:28:47 time: 0.2379 data_time: 0.0213 memory: 6108 grad_norm: 8.8821 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2713 loss: 1.2713 2022/07/23 13:07:17 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 1.0000e-04 eta: 3:28:42 time: 0.2328 data_time: 0.0239 memory: 6108 grad_norm: 8.6838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0913 loss: 1.0913 2022/07/23 13:07:22 - mmengine - INFO - Epoch(train) [86][3720/3757] lr: 1.0000e-04 eta: 3:28:38 time: 0.2507 data_time: 0.0211 memory: 6108 grad_norm: 8.8075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1344 loss: 1.1344 2022/07/23 13:07:27 - mmengine - INFO - Epoch(train) [86][3740/3757] lr: 1.0000e-04 eta: 3:28:33 time: 0.2347 data_time: 0.0257 memory: 6108 grad_norm: 9.3806 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2595 loss: 1.2595 2022/07/23 13:07:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:07:30 - mmengine - INFO - Epoch(train) [86][3757/3757] lr: 1.0000e-04 eta: 3:28:33 time: 0.1919 data_time: 0.0165 memory: 6108 grad_norm: 9.2167 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.2245 loss: 1.2245 2022/07/23 13:07:35 - mmengine - INFO - Epoch(val) [86][20/310] eta: 0:01:20 time: 0.2770 data_time: 0.1958 memory: 1428 2022/07/23 13:07:39 - mmengine - INFO - Epoch(val) [86][40/310] eta: 0:00:48 time: 0.1783 data_time: 0.0999 memory: 1428 2022/07/23 13:07:44 - mmengine - INFO - Epoch(val) [86][60/310] eta: 0:01:00 time: 0.2400 data_time: 0.1649 memory: 1428 2022/07/23 13:07:47 - mmengine - INFO - Epoch(val) [86][80/310] eta: 0:00:43 time: 0.1880 data_time: 0.1100 memory: 1428 2022/07/23 13:07:52 - mmengine - INFO - Epoch(val) [86][100/310] eta: 0:00:46 time: 0.2210 data_time: 0.1446 memory: 1428 2022/07/23 13:07:56 - mmengine - INFO - Epoch(val) [86][120/310] eta: 0:00:42 time: 0.2252 data_time: 0.1512 memory: 1428 2022/07/23 13:08:01 - mmengine - INFO - Epoch(val) [86][140/310] eta: 0:00:37 time: 0.2190 data_time: 0.1432 memory: 1428 2022/07/23 13:08:05 - mmengine - INFO - Epoch(val) [86][160/310] eta: 0:00:32 time: 0.2184 data_time: 0.1443 memory: 1428 2022/07/23 13:08:09 - mmengine - INFO - Epoch(val) [86][180/310] eta: 0:00:26 time: 0.2024 data_time: 0.1261 memory: 1428 2022/07/23 13:08:13 - mmengine - INFO - Epoch(val) [86][200/310] eta: 0:00:22 time: 0.2083 data_time: 0.1289 memory: 1428 2022/07/23 13:08:17 - mmengine - INFO - Epoch(val) [86][220/310] eta: 0:00:17 time: 0.1907 data_time: 0.1125 memory: 1428 2022/07/23 13:08:21 - mmengine - INFO - Epoch(val) [86][240/310] eta: 0:00:14 time: 0.2054 data_time: 0.1217 memory: 1428 2022/07/23 13:08:26 - mmengine - INFO - Epoch(val) [86][260/310] eta: 0:00:10 time: 0.2106 data_time: 0.1340 memory: 1428 2022/07/23 13:08:30 - mmengine - INFO - Epoch(val) [86][280/310] eta: 0:00:06 time: 0.2071 data_time: 0.1302 memory: 1428 2022/07/23 13:08:34 - mmengine - INFO - Epoch(val) [86][300/310] eta: 0:00:02 time: 0.2151 data_time: 0.1373 memory: 1428 2022/07/23 13:08:39 - mmengine - INFO - Epoch(val) [86][310/310] acc/top1: 0.6652 acc/top5: 0.8649 acc/mean1: 0.6652 2022/07/23 13:08:46 - mmengine - INFO - Epoch(train) [87][20/3757] lr: 1.0000e-04 eta: 3:28:24 time: 0.3314 data_time: 0.0774 memory: 6108 grad_norm: 9.1370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/07/23 13:08:51 - mmengine - INFO - Epoch(train) [87][40/3757] lr: 1.0000e-04 eta: 3:28:19 time: 0.2289 data_time: 0.0231 memory: 6108 grad_norm: 8.8757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0854 loss: 1.0854 2022/07/23 13:08:55 - mmengine - INFO - Epoch(train) [87][60/3757] lr: 1.0000e-04 eta: 3:28:14 time: 0.2380 data_time: 0.0316 memory: 6108 grad_norm: 8.9409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/07/23 13:09:00 - mmengine - INFO - Epoch(train) [87][80/3757] lr: 1.0000e-04 eta: 3:28:10 time: 0.2476 data_time: 0.0273 memory: 6108 grad_norm: 9.3891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1568 loss: 1.1568 2022/07/23 13:09:05 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 1.0000e-04 eta: 3:28:05 time: 0.2350 data_time: 0.0266 memory: 6108 grad_norm: 8.9029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/07/23 13:09:10 - mmengine - INFO - Epoch(train) [87][120/3757] lr: 1.0000e-04 eta: 3:28:00 time: 0.2454 data_time: 0.0228 memory: 6108 grad_norm: 9.2173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1212 loss: 1.1212 2022/07/23 13:09:15 - mmengine - INFO - Epoch(train) [87][140/3757] lr: 1.0000e-04 eta: 3:27:55 time: 0.2349 data_time: 0.0211 memory: 6108 grad_norm: 9.0081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/07/23 13:09:19 - mmengine - INFO - Epoch(train) [87][160/3757] lr: 1.0000e-04 eta: 3:27:51 time: 0.2262 data_time: 0.0243 memory: 6108 grad_norm: 8.9390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/07/23 13:09:24 - mmengine - INFO - Epoch(train) [87][180/3757] lr: 1.0000e-04 eta: 3:27:46 time: 0.2301 data_time: 0.0229 memory: 6108 grad_norm: 9.2945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/07/23 13:09:29 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 1.0000e-04 eta: 3:27:41 time: 0.2288 data_time: 0.0188 memory: 6108 grad_norm: 8.8741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1370 loss: 1.1370 2022/07/23 13:09:33 - mmengine - INFO - Epoch(train) [87][220/3757] lr: 1.0000e-04 eta: 3:27:36 time: 0.2381 data_time: 0.0233 memory: 6108 grad_norm: 9.2514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0902 loss: 1.0902 2022/07/23 13:09:38 - mmengine - INFO - Epoch(train) [87][240/3757] lr: 1.0000e-04 eta: 3:27:31 time: 0.2481 data_time: 0.0284 memory: 6108 grad_norm: 8.7614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/07/23 13:09:43 - mmengine - INFO - Epoch(train) [87][260/3757] lr: 1.0000e-04 eta: 3:27:27 time: 0.2266 data_time: 0.0186 memory: 6108 grad_norm: 9.3675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1295 loss: 1.1295 2022/07/23 13:09:48 - mmengine - INFO - Epoch(train) [87][280/3757] lr: 1.0000e-04 eta: 3:27:22 time: 0.2332 data_time: 0.0251 memory: 6108 grad_norm: 8.7034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/07/23 13:09:52 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 1.0000e-04 eta: 3:27:17 time: 0.2389 data_time: 0.0293 memory: 6108 grad_norm: 9.1135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/07/23 13:09:57 - mmengine - INFO - Epoch(train) [87][320/3757] lr: 1.0000e-04 eta: 3:27:12 time: 0.2291 data_time: 0.0257 memory: 6108 grad_norm: 9.2548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/07/23 13:10:02 - mmengine - INFO - Epoch(train) [87][340/3757] lr: 1.0000e-04 eta: 3:27:08 time: 0.2401 data_time: 0.0240 memory: 6108 grad_norm: 8.6370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/07/23 13:10:06 - mmengine - INFO - Epoch(train) [87][360/3757] lr: 1.0000e-04 eta: 3:27:03 time: 0.2292 data_time: 0.0240 memory: 6108 grad_norm: 8.7457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1011 loss: 1.1011 2022/07/23 13:10:11 - mmengine - INFO - Epoch(train) [87][380/3757] lr: 1.0000e-04 eta: 3:26:58 time: 0.2405 data_time: 0.0215 memory: 6108 grad_norm: 8.8304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1020 loss: 1.1020 2022/07/23 13:10:16 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 1.0000e-04 eta: 3:26:53 time: 0.2245 data_time: 0.0206 memory: 6108 grad_norm: 9.3138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2598 loss: 1.2598 2022/07/23 13:10:21 - mmengine - INFO - Epoch(train) [87][420/3757] lr: 1.0000e-04 eta: 3:26:49 time: 0.2389 data_time: 0.0269 memory: 6108 grad_norm: 8.8557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/07/23 13:10:25 - mmengine - INFO - Epoch(train) [87][440/3757] lr: 1.0000e-04 eta: 3:26:44 time: 0.2286 data_time: 0.0233 memory: 6108 grad_norm: 9.1902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0606 loss: 1.0606 2022/07/23 13:10:30 - mmengine - INFO - Epoch(train) [87][460/3757] lr: 1.0000e-04 eta: 3:26:39 time: 0.2275 data_time: 0.0214 memory: 6108 grad_norm: 9.3721 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4206 loss: 1.4206 2022/07/23 13:10:35 - mmengine - INFO - Epoch(train) [87][480/3757] lr: 1.0000e-04 eta: 3:26:34 time: 0.2376 data_time: 0.0282 memory: 6108 grad_norm: 9.1680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/07/23 13:10:39 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 1.0000e-04 eta: 3:26:29 time: 0.2345 data_time: 0.0185 memory: 6108 grad_norm: 9.0483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3754 loss: 1.3754 2022/07/23 13:10:44 - mmengine - INFO - Epoch(train) [87][520/3757] lr: 1.0000e-04 eta: 3:26:25 time: 0.2342 data_time: 0.0232 memory: 6108 grad_norm: 9.0436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9834 loss: 0.9834 2022/07/23 13:10:49 - mmengine - INFO - Epoch(train) [87][540/3757] lr: 1.0000e-04 eta: 3:26:20 time: 0.2374 data_time: 0.0231 memory: 6108 grad_norm: 8.9617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9583 loss: 0.9583 2022/07/23 13:10:53 - mmengine - INFO - Epoch(train) [87][560/3757] lr: 1.0000e-04 eta: 3:26:15 time: 0.2268 data_time: 0.0217 memory: 6108 grad_norm: 8.8609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1669 loss: 1.1669 2022/07/23 13:10:58 - mmengine - INFO - Epoch(train) [87][580/3757] lr: 1.0000e-04 eta: 3:26:10 time: 0.2282 data_time: 0.0211 memory: 6108 grad_norm: 8.9173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/07/23 13:11:03 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 1.0000e-04 eta: 3:26:06 time: 0.2381 data_time: 0.0290 memory: 6108 grad_norm: 9.4088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/07/23 13:11:07 - mmengine - INFO - Epoch(train) [87][620/3757] lr: 1.0000e-04 eta: 3:26:01 time: 0.2313 data_time: 0.0195 memory: 6108 grad_norm: 8.8636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/07/23 13:11:12 - mmengine - INFO - Epoch(train) [87][640/3757] lr: 1.0000e-04 eta: 3:25:56 time: 0.2291 data_time: 0.0192 memory: 6108 grad_norm: 9.1709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2423 loss: 1.2423 2022/07/23 13:11:17 - mmengine - INFO - Epoch(train) [87][660/3757] lr: 1.0000e-04 eta: 3:25:51 time: 0.2361 data_time: 0.0254 memory: 6108 grad_norm: 9.2173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1810 loss: 1.1810 2022/07/23 13:11:21 - mmengine - INFO - Epoch(train) [87][680/3757] lr: 1.0000e-04 eta: 3:25:46 time: 0.2313 data_time: 0.0199 memory: 6108 grad_norm: 9.0120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/07/23 13:11:26 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 1.0000e-04 eta: 3:25:42 time: 0.2347 data_time: 0.0232 memory: 6108 grad_norm: 9.2555 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1915 loss: 1.1915 2022/07/23 13:11:31 - mmengine - INFO - Epoch(train) [87][720/3757] lr: 1.0000e-04 eta: 3:25:37 time: 0.2329 data_time: 0.0225 memory: 6108 grad_norm: 8.9018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/07/23 13:11:36 - mmengine - INFO - Epoch(train) [87][740/3757] lr: 1.0000e-04 eta: 3:25:32 time: 0.2634 data_time: 0.0649 memory: 6108 grad_norm: 8.8466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4654 loss: 1.4654 2022/07/23 13:11:41 - mmengine - INFO - Epoch(train) [87][760/3757] lr: 1.0000e-04 eta: 3:25:27 time: 0.2291 data_time: 0.0206 memory: 6108 grad_norm: 9.0049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/07/23 13:11:46 - mmengine - INFO - Epoch(train) [87][780/3757] lr: 1.0000e-04 eta: 3:25:23 time: 0.2397 data_time: 0.0298 memory: 6108 grad_norm: 9.0618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/07/23 13:11:50 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 1.0000e-04 eta: 3:25:18 time: 0.2294 data_time: 0.0212 memory: 6108 grad_norm: 9.2447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3658 loss: 1.3658 2022/07/23 13:11:55 - mmengine - INFO - Epoch(train) [87][820/3757] lr: 1.0000e-04 eta: 3:25:13 time: 0.2318 data_time: 0.0210 memory: 6108 grad_norm: 9.0092 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3113 loss: 1.3113 2022/07/23 13:12:00 - mmengine - INFO - Epoch(train) [87][840/3757] lr: 1.0000e-04 eta: 3:25:08 time: 0.2330 data_time: 0.0253 memory: 6108 grad_norm: 8.8426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9194 loss: 0.9194 2022/07/23 13:12:04 - mmengine - INFO - Epoch(train) [87][860/3757] lr: 1.0000e-04 eta: 3:25:04 time: 0.2366 data_time: 0.0220 memory: 6108 grad_norm: 9.1064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0810 loss: 1.0810 2022/07/23 13:12:09 - mmengine - INFO - Epoch(train) [87][880/3757] lr: 1.0000e-04 eta: 3:24:59 time: 0.2325 data_time: 0.0295 memory: 6108 grad_norm: 9.2394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1370 loss: 1.1370 2022/07/23 13:12:13 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:12:14 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 1.0000e-04 eta: 3:24:54 time: 0.2324 data_time: 0.0296 memory: 6108 grad_norm: 8.8452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1309 loss: 1.1309 2022/07/23 13:12:18 - mmengine - INFO - Epoch(train) [87][920/3757] lr: 1.0000e-04 eta: 3:24:49 time: 0.2323 data_time: 0.0195 memory: 6108 grad_norm: 8.8433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2061 loss: 1.2061 2022/07/23 13:12:23 - mmengine - INFO - Epoch(train) [87][940/3757] lr: 1.0000e-04 eta: 3:24:45 time: 0.2301 data_time: 0.0224 memory: 6108 grad_norm: 9.4408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4276 loss: 1.4276 2022/07/23 13:12:28 - mmengine - INFO - Epoch(train) [87][960/3757] lr: 1.0000e-04 eta: 3:24:40 time: 0.2318 data_time: 0.0246 memory: 6108 grad_norm: 9.1990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2896 loss: 1.2896 2022/07/23 13:12:32 - mmengine - INFO - Epoch(train) [87][980/3757] lr: 1.0000e-04 eta: 3:24:35 time: 0.2336 data_time: 0.0213 memory: 6108 grad_norm: 9.3516 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4389 loss: 1.4389 2022/07/23 13:12:37 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 1.0000e-04 eta: 3:24:30 time: 0.2392 data_time: 0.0275 memory: 6108 grad_norm: 9.2481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1671 loss: 1.1671 2022/07/23 13:12:42 - mmengine - INFO - Epoch(train) [87][1020/3757] lr: 1.0000e-04 eta: 3:24:25 time: 0.2388 data_time: 0.0310 memory: 6108 grad_norm: 9.0870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/07/23 13:12:47 - mmengine - INFO - Epoch(train) [87][1040/3757] lr: 1.0000e-04 eta: 3:24:21 time: 0.2534 data_time: 0.0229 memory: 6108 grad_norm: 9.4359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/07/23 13:12:52 - mmengine - INFO - Epoch(train) [87][1060/3757] lr: 1.0000e-04 eta: 3:24:16 time: 0.2261 data_time: 0.0215 memory: 6108 grad_norm: 8.8939 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0307 loss: 1.0307 2022/07/23 13:12:56 - mmengine - INFO - Epoch(train) [87][1080/3757] lr: 1.0000e-04 eta: 3:24:11 time: 0.2315 data_time: 0.0230 memory: 6108 grad_norm: 9.2192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/07/23 13:13:01 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 1.0000e-04 eta: 3:24:06 time: 0.2293 data_time: 0.0188 memory: 6108 grad_norm: 8.9413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/07/23 13:13:06 - mmengine - INFO - Epoch(train) [87][1120/3757] lr: 1.0000e-04 eta: 3:24:02 time: 0.2478 data_time: 0.0229 memory: 6108 grad_norm: 9.0264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/07/23 13:13:11 - mmengine - INFO - Epoch(train) [87][1140/3757] lr: 1.0000e-04 eta: 3:23:57 time: 0.2322 data_time: 0.0243 memory: 6108 grad_norm: 9.1631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/07/23 13:13:15 - mmengine - INFO - Epoch(train) [87][1160/3757] lr: 1.0000e-04 eta: 3:23:52 time: 0.2279 data_time: 0.0252 memory: 6108 grad_norm: 9.0256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/07/23 13:13:20 - mmengine - INFO - Epoch(train) [87][1180/3757] lr: 1.0000e-04 eta: 3:23:47 time: 0.2276 data_time: 0.0198 memory: 6108 grad_norm: 9.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2233 loss: 1.2233 2022/07/23 13:13:25 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 1.0000e-04 eta: 3:23:43 time: 0.2437 data_time: 0.0286 memory: 6108 grad_norm: 9.2895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2293 loss: 1.2293 2022/07/23 13:13:29 - mmengine - INFO - Epoch(train) [87][1220/3757] lr: 1.0000e-04 eta: 3:23:38 time: 0.2337 data_time: 0.0304 memory: 6108 grad_norm: 9.1683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2170 loss: 1.2170 2022/07/23 13:13:34 - mmengine - INFO - Epoch(train) [87][1240/3757] lr: 1.0000e-04 eta: 3:23:33 time: 0.2298 data_time: 0.0196 memory: 6108 grad_norm: 9.0180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/07/23 13:13:39 - mmengine - INFO - Epoch(train) [87][1260/3757] lr: 1.0000e-04 eta: 3:23:28 time: 0.2301 data_time: 0.0305 memory: 6108 grad_norm: 9.2559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/07/23 13:13:43 - mmengine - INFO - Epoch(train) [87][1280/3757] lr: 1.0000e-04 eta: 3:23:24 time: 0.2346 data_time: 0.0219 memory: 6108 grad_norm: 9.3046 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0715 loss: 1.0715 2022/07/23 13:13:48 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 1.0000e-04 eta: 3:23:19 time: 0.2393 data_time: 0.0292 memory: 6108 grad_norm: 8.7904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/07/23 13:13:53 - mmengine - INFO - Epoch(train) [87][1320/3757] lr: 1.0000e-04 eta: 3:23:14 time: 0.2331 data_time: 0.0257 memory: 6108 grad_norm: 8.6618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/07/23 13:13:57 - mmengine - INFO - Epoch(train) [87][1340/3757] lr: 1.0000e-04 eta: 3:23:09 time: 0.2316 data_time: 0.0266 memory: 6108 grad_norm: 9.2239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0646 loss: 1.0646 2022/07/23 13:14:02 - mmengine - INFO - Epoch(train) [87][1360/3757] lr: 1.0000e-04 eta: 3:23:04 time: 0.2398 data_time: 0.0301 memory: 6108 grad_norm: 9.0259 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3760 loss: 1.3760 2022/07/23 13:14:07 - mmengine - INFO - Epoch(train) [87][1380/3757] lr: 1.0000e-04 eta: 3:23:00 time: 0.2308 data_time: 0.0220 memory: 6108 grad_norm: 9.3069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/07/23 13:14:12 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 1.0000e-04 eta: 3:22:55 time: 0.2345 data_time: 0.0208 memory: 6108 grad_norm: 8.7350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2202 loss: 1.2202 2022/07/23 13:14:16 - mmengine - INFO - Epoch(train) [87][1420/3757] lr: 1.0000e-04 eta: 3:22:50 time: 0.2329 data_time: 0.0290 memory: 6108 grad_norm: 8.9571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0225 loss: 1.0225 2022/07/23 13:14:21 - mmengine - INFO - Epoch(train) [87][1440/3757] lr: 1.0000e-04 eta: 3:22:45 time: 0.2350 data_time: 0.0217 memory: 6108 grad_norm: 9.1213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3248 loss: 1.3248 2022/07/23 13:14:26 - mmengine - INFO - Epoch(train) [87][1460/3757] lr: 1.0000e-04 eta: 3:22:41 time: 0.2516 data_time: 0.0397 memory: 6108 grad_norm: 9.0611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1198 loss: 1.1198 2022/07/23 13:14:31 - mmengine - INFO - Epoch(train) [87][1480/3757] lr: 1.0000e-04 eta: 3:22:36 time: 0.2488 data_time: 0.0218 memory: 6108 grad_norm: 9.1476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/07/23 13:14:36 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 1.0000e-04 eta: 3:22:31 time: 0.2317 data_time: 0.0232 memory: 6108 grad_norm: 8.9467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9599 loss: 0.9599 2022/07/23 13:14:40 - mmengine - INFO - Epoch(train) [87][1520/3757] lr: 1.0000e-04 eta: 3:22:26 time: 0.2268 data_time: 0.0237 memory: 6108 grad_norm: 9.2300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1582 loss: 1.1582 2022/07/23 13:14:45 - mmengine - INFO - Epoch(train) [87][1540/3757] lr: 1.0000e-04 eta: 3:22:22 time: 0.2405 data_time: 0.0276 memory: 6108 grad_norm: 9.1931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/07/23 13:14:50 - mmengine - INFO - Epoch(train) [87][1560/3757] lr: 1.0000e-04 eta: 3:22:17 time: 0.2325 data_time: 0.0246 memory: 6108 grad_norm: 9.5168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/07/23 13:14:55 - mmengine - INFO - Epoch(train) [87][1580/3757] lr: 1.0000e-04 eta: 3:22:12 time: 0.2317 data_time: 0.0226 memory: 6108 grad_norm: 9.4510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/07/23 13:14:59 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 1.0000e-04 eta: 3:22:07 time: 0.2308 data_time: 0.0239 memory: 6108 grad_norm: 9.2690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2654 loss: 1.2654 2022/07/23 13:15:04 - mmengine - INFO - Epoch(train) [87][1620/3757] lr: 1.0000e-04 eta: 3:22:03 time: 0.2548 data_time: 0.0273 memory: 6108 grad_norm: 8.9679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1518 loss: 1.1518 2022/07/23 13:15:09 - mmengine - INFO - Epoch(train) [87][1640/3757] lr: 1.0000e-04 eta: 3:21:58 time: 0.2266 data_time: 0.0185 memory: 6108 grad_norm: 9.0486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/07/23 13:15:14 - mmengine - INFO - Epoch(train) [87][1660/3757] lr: 1.0000e-04 eta: 3:21:53 time: 0.2298 data_time: 0.0233 memory: 6108 grad_norm: 9.3763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/07/23 13:15:18 - mmengine - INFO - Epoch(train) [87][1680/3757] lr: 1.0000e-04 eta: 3:21:48 time: 0.2369 data_time: 0.0276 memory: 6108 grad_norm: 9.3529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/07/23 13:18:41 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 1.0000e-04 eta: 3:22:15 time: 10.1443 data_time: 0.0249 memory: 6108 grad_norm: 8.7944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/07/23 13:18:46 - mmengine - INFO - Epoch(train) [87][1720/3757] lr: 1.0000e-04 eta: 3:22:10 time: 0.2546 data_time: 0.0587 memory: 6108 grad_norm: 9.0983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2914 loss: 1.2914 2022/07/23 13:18:51 - mmengine - INFO - Epoch(train) [87][1740/3757] lr: 1.0000e-04 eta: 3:22:05 time: 0.2311 data_time: 0.0211 memory: 6108 grad_norm: 9.1741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/07/23 13:18:56 - mmengine - INFO - Epoch(train) [87][1760/3757] lr: 1.0000e-04 eta: 3:22:00 time: 0.2394 data_time: 0.0228 memory: 6108 grad_norm: 9.0821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/07/23 13:19:00 - mmengine - INFO - Epoch(train) [87][1780/3757] lr: 1.0000e-04 eta: 3:21:56 time: 0.2316 data_time: 0.0264 memory: 6108 grad_norm: 9.0260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/07/23 13:19:05 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 1.0000e-04 eta: 3:21:51 time: 0.2321 data_time: 0.0291 memory: 6108 grad_norm: 8.8536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/07/23 13:19:10 - mmengine - INFO - Epoch(train) [87][1820/3757] lr: 1.0000e-04 eta: 3:21:46 time: 0.2288 data_time: 0.0232 memory: 6108 grad_norm: 9.3140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/23 13:19:15 - mmengine - INFO - Epoch(train) [87][1840/3757] lr: 1.0000e-04 eta: 3:21:41 time: 0.2492 data_time: 0.0392 memory: 6108 grad_norm: 8.8805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0738 loss: 1.0738 2022/07/23 13:19:19 - mmengine - INFO - Epoch(train) [87][1860/3757] lr: 1.0000e-04 eta: 3:21:36 time: 0.2287 data_time: 0.0153 memory: 6108 grad_norm: 9.0757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0766 loss: 1.0766 2022/07/23 13:19:24 - mmengine - INFO - Epoch(train) [87][1880/3757] lr: 1.0000e-04 eta: 3:21:32 time: 0.2311 data_time: 0.0214 memory: 6108 grad_norm: 9.0582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1627 loss: 1.1627 2022/07/23 13:19:28 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:19:29 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 1.0000e-04 eta: 3:21:27 time: 0.2304 data_time: 0.0217 memory: 6108 grad_norm: 8.6529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1098 loss: 1.1098 2022/07/23 13:19:33 - mmengine - INFO - Epoch(train) [87][1920/3757] lr: 1.0000e-04 eta: 3:21:22 time: 0.2337 data_time: 0.0188 memory: 6108 grad_norm: 9.3528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/07/23 13:19:38 - mmengine - INFO - Epoch(train) [87][1940/3757] lr: 1.0000e-04 eta: 3:21:17 time: 0.2278 data_time: 0.0222 memory: 6108 grad_norm: 8.7316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2697 loss: 1.2697 2022/07/23 13:19:43 - mmengine - INFO - Epoch(train) [87][1960/3757] lr: 1.0000e-04 eta: 3:21:12 time: 0.2316 data_time: 0.0248 memory: 6108 grad_norm: 9.1953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2674 loss: 1.2674 2022/07/23 13:19:47 - mmengine - INFO - Epoch(train) [87][1980/3757] lr: 1.0000e-04 eta: 3:21:08 time: 0.2342 data_time: 0.0277 memory: 6108 grad_norm: 9.3086 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/07/23 13:19:52 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 1.0000e-04 eta: 3:21:03 time: 0.2334 data_time: 0.0213 memory: 6108 grad_norm: 9.1740 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/07/23 13:19:57 - mmengine - INFO - Epoch(train) [87][2020/3757] lr: 1.0000e-04 eta: 3:20:58 time: 0.2335 data_time: 0.0230 memory: 6108 grad_norm: 8.9795 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8912 loss: 0.8912 2022/07/23 13:20:01 - mmengine - INFO - Epoch(train) [87][2040/3757] lr: 1.0000e-04 eta: 3:20:53 time: 0.2331 data_time: 0.0235 memory: 6108 grad_norm: 9.0914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0330 loss: 1.0330 2022/07/23 13:20:06 - mmengine - INFO - Epoch(train) [87][2060/3757] lr: 1.0000e-04 eta: 3:20:49 time: 0.2303 data_time: 0.0243 memory: 6108 grad_norm: 9.4651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2209 loss: 1.2209 2022/07/23 13:20:11 - mmengine - INFO - Epoch(train) [87][2080/3757] lr: 1.0000e-04 eta: 3:20:44 time: 0.2306 data_time: 0.0235 memory: 6108 grad_norm: 8.6474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2718 loss: 1.2718 2022/07/23 13:20:15 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 1.0000e-04 eta: 3:20:39 time: 0.2331 data_time: 0.0203 memory: 6108 grad_norm: 8.9902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1616 loss: 1.1616 2022/07/23 13:20:20 - mmengine - INFO - Epoch(train) [87][2120/3757] lr: 1.0000e-04 eta: 3:20:34 time: 0.2269 data_time: 0.0202 memory: 6108 grad_norm: 8.9286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/07/23 13:20:25 - mmengine - INFO - Epoch(train) [87][2140/3757] lr: 1.0000e-04 eta: 3:20:29 time: 0.2332 data_time: 0.0290 memory: 6108 grad_norm: 9.0271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0452 loss: 1.0452 2022/07/23 13:20:29 - mmengine - INFO - Epoch(train) [87][2160/3757] lr: 1.0000e-04 eta: 3:20:25 time: 0.2304 data_time: 0.0193 memory: 6108 grad_norm: 9.0114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/07/23 13:20:34 - mmengine - INFO - Epoch(train) [87][2180/3757] lr: 1.0000e-04 eta: 3:20:20 time: 0.2433 data_time: 0.0236 memory: 6108 grad_norm: 9.1612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1329 loss: 1.1329 2022/07/23 13:20:39 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 1.0000e-04 eta: 3:20:15 time: 0.2277 data_time: 0.0239 memory: 6108 grad_norm: 8.8282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/23 13:20:44 - mmengine - INFO - Epoch(train) [87][2220/3757] lr: 1.0000e-04 eta: 3:20:10 time: 0.2422 data_time: 0.0219 memory: 6108 grad_norm: 9.2204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0647 loss: 1.0647 2022/07/23 13:20:48 - mmengine - INFO - Epoch(train) [87][2240/3757] lr: 1.0000e-04 eta: 3:20:05 time: 0.2302 data_time: 0.0202 memory: 6108 grad_norm: 9.0191 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1855 loss: 1.1855 2022/07/23 13:20:53 - mmengine - INFO - Epoch(train) [87][2260/3757] lr: 1.0000e-04 eta: 3:20:01 time: 0.2470 data_time: 0.0251 memory: 6108 grad_norm: 8.9230 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1466 loss: 1.1466 2022/07/23 13:20:58 - mmengine - INFO - Epoch(train) [87][2280/3757] lr: 1.0000e-04 eta: 3:19:56 time: 0.2606 data_time: 0.0229 memory: 6108 grad_norm: 8.6600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/07/23 13:21:03 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 1.0000e-04 eta: 3:19:51 time: 0.2300 data_time: 0.0230 memory: 6108 grad_norm: 9.1451 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2535 loss: 1.2535 2022/07/23 13:21:08 - mmengine - INFO - Epoch(train) [87][2320/3757] lr: 1.0000e-04 eta: 3:19:46 time: 0.2321 data_time: 0.0193 memory: 6108 grad_norm: 8.6762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/07/23 13:21:13 - mmengine - INFO - Epoch(train) [87][2340/3757] lr: 1.0000e-04 eta: 3:19:42 time: 0.2388 data_time: 0.0263 memory: 6108 grad_norm: 9.2288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/07/23 13:21:17 - mmengine - INFO - Epoch(train) [87][2360/3757] lr: 1.0000e-04 eta: 3:19:37 time: 0.2327 data_time: 0.0217 memory: 6108 grad_norm: 9.1738 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2705 loss: 1.2705 2022/07/23 13:21:22 - mmengine - INFO - Epoch(train) [87][2380/3757] lr: 1.0000e-04 eta: 3:19:32 time: 0.2305 data_time: 0.0281 memory: 6108 grad_norm: 9.1879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4836 loss: 1.4836 2022/07/23 13:21:27 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 1.0000e-04 eta: 3:19:27 time: 0.2285 data_time: 0.0185 memory: 6108 grad_norm: 8.9303 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2373 loss: 1.2373 2022/07/23 13:21:31 - mmengine - INFO - Epoch(train) [87][2420/3757] lr: 1.0000e-04 eta: 3:19:22 time: 0.2296 data_time: 0.0279 memory: 6108 grad_norm: 9.2749 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2599 loss: 1.2599 2022/07/23 13:21:36 - mmengine - INFO - Epoch(train) [87][2440/3757] lr: 1.0000e-04 eta: 3:19:18 time: 0.2340 data_time: 0.0196 memory: 6108 grad_norm: 8.9026 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/07/23 13:21:41 - mmengine - INFO - Epoch(train) [87][2460/3757] lr: 1.0000e-04 eta: 3:19:13 time: 0.2349 data_time: 0.0313 memory: 6108 grad_norm: 8.7923 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2813 loss: 1.2813 2022/07/23 13:21:45 - mmengine - INFO - Epoch(train) [87][2480/3757] lr: 1.0000e-04 eta: 3:19:08 time: 0.2285 data_time: 0.0242 memory: 6108 grad_norm: 8.8177 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.2388 loss: 1.2388 2022/07/23 13:21:50 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 1.0000e-04 eta: 3:19:03 time: 0.2288 data_time: 0.0215 memory: 6108 grad_norm: 8.9177 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2043 loss: 1.2043 2022/07/23 13:21:54 - mmengine - INFO - Epoch(train) [87][2520/3757] lr: 1.0000e-04 eta: 3:18:59 time: 0.2305 data_time: 0.0193 memory: 6108 grad_norm: 9.1784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/07/23 13:21:59 - mmengine - INFO - Epoch(train) [87][2540/3757] lr: 1.0000e-04 eta: 3:18:54 time: 0.2349 data_time: 0.0286 memory: 6108 grad_norm: 9.0067 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/07/23 13:22:04 - mmengine - INFO - Epoch(train) [87][2560/3757] lr: 1.0000e-04 eta: 3:18:49 time: 0.2330 data_time: 0.0279 memory: 6108 grad_norm: 9.1975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3662 loss: 1.3662 2022/07/23 13:22:09 - mmengine - INFO - Epoch(train) [87][2580/3757] lr: 1.0000e-04 eta: 3:18:44 time: 0.2322 data_time: 0.0213 memory: 6108 grad_norm: 9.1489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/07/23 13:22:13 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 1.0000e-04 eta: 3:18:39 time: 0.2427 data_time: 0.0355 memory: 6108 grad_norm: 9.1330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/07/23 13:22:18 - mmengine - INFO - Epoch(train) [87][2620/3757] lr: 1.0000e-04 eta: 3:18:35 time: 0.2265 data_time: 0.0207 memory: 6108 grad_norm: 9.2436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2629 loss: 1.2629 2022/07/23 13:22:23 - mmengine - INFO - Epoch(train) [87][2640/3757] lr: 1.0000e-04 eta: 3:18:30 time: 0.2360 data_time: 0.0259 memory: 6108 grad_norm: 9.2783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/07/23 13:22:27 - mmengine - INFO - Epoch(train) [87][2660/3757] lr: 1.0000e-04 eta: 3:18:25 time: 0.2339 data_time: 0.0214 memory: 6108 grad_norm: 9.1589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8961 loss: 0.8961 2022/07/23 13:22:32 - mmengine - INFO - Epoch(train) [87][2680/3757] lr: 1.0000e-04 eta: 3:18:20 time: 0.2326 data_time: 0.0218 memory: 6108 grad_norm: 9.2337 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2192 loss: 1.2192 2022/07/23 13:22:37 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 1.0000e-04 eta: 3:18:15 time: 0.2308 data_time: 0.0196 memory: 6108 grad_norm: 9.0918 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/07/23 13:22:41 - mmengine - INFO - Epoch(train) [87][2720/3757] lr: 1.0000e-04 eta: 3:18:11 time: 0.2354 data_time: 0.0291 memory: 6108 grad_norm: 9.5230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/07/23 13:22:46 - mmengine - INFO - Epoch(train) [87][2740/3757] lr: 1.0000e-04 eta: 3:18:06 time: 0.2346 data_time: 0.0260 memory: 6108 grad_norm: 8.6677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2900 loss: 1.2900 2022/07/23 13:22:51 - mmengine - INFO - Epoch(train) [87][2760/3757] lr: 1.0000e-04 eta: 3:18:01 time: 0.2270 data_time: 0.0209 memory: 6108 grad_norm: 8.7886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1474 loss: 1.1474 2022/07/23 13:22:56 - mmengine - INFO - Epoch(train) [87][2780/3757] lr: 1.0000e-04 eta: 3:17:56 time: 0.2349 data_time: 0.0342 memory: 6108 grad_norm: 8.6834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1346 loss: 1.1346 2022/07/23 13:23:00 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 1.0000e-04 eta: 3:17:52 time: 0.2326 data_time: 0.0281 memory: 6108 grad_norm: 8.8659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/07/23 13:23:05 - mmengine - INFO - Epoch(train) [87][2820/3757] lr: 1.0000e-04 eta: 3:17:47 time: 0.2276 data_time: 0.0193 memory: 6108 grad_norm: 9.1072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1967 loss: 1.1967 2022/07/23 13:23:09 - mmengine - INFO - Epoch(train) [87][2840/3757] lr: 1.0000e-04 eta: 3:17:42 time: 0.2342 data_time: 0.0252 memory: 6108 grad_norm: 9.3804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1348 loss: 1.1348 2022/07/23 13:23:14 - mmengine - INFO - Epoch(train) [87][2860/3757] lr: 1.0000e-04 eta: 3:17:37 time: 0.2337 data_time: 0.0234 memory: 6108 grad_norm: 9.1393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1155 loss: 1.1155 2022/07/23 13:23:19 - mmengine - INFO - Epoch(train) [87][2880/3757] lr: 1.0000e-04 eta: 3:17:32 time: 0.2271 data_time: 0.0191 memory: 6108 grad_norm: 9.4146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4071 loss: 1.4071 2022/07/23 13:23:23 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:23:24 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 1.0000e-04 eta: 3:17:28 time: 0.2420 data_time: 0.0265 memory: 6108 grad_norm: 9.0953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1663 loss: 1.1663 2022/07/23 13:23:28 - mmengine - INFO - Epoch(train) [87][2920/3757] lr: 1.0000e-04 eta: 3:17:23 time: 0.2348 data_time: 0.0261 memory: 6108 grad_norm: 8.7126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7568 loss: 0.7568 2022/07/23 13:23:33 - mmengine - INFO - Epoch(train) [87][2940/3757] lr: 1.0000e-04 eta: 3:17:18 time: 0.2391 data_time: 0.0242 memory: 6108 grad_norm: 9.2345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/07/23 13:23:38 - mmengine - INFO - Epoch(train) [87][2960/3757] lr: 1.0000e-04 eta: 3:17:13 time: 0.2333 data_time: 0.0284 memory: 6108 grad_norm: 8.9693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/07/23 13:23:42 - mmengine - INFO - Epoch(train) [87][2980/3757] lr: 1.0000e-04 eta: 3:17:09 time: 0.2292 data_time: 0.0206 memory: 6108 grad_norm: 8.7883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2635 loss: 1.2635 2022/07/23 13:23:48 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 1.0000e-04 eta: 3:17:04 time: 0.2505 data_time: 0.0194 memory: 6108 grad_norm: 9.0902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/07/23 13:23:52 - mmengine - INFO - Epoch(train) [87][3020/3757] lr: 1.0000e-04 eta: 3:16:59 time: 0.2367 data_time: 0.0219 memory: 6108 grad_norm: 8.7833 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/07/23 13:23:57 - mmengine - INFO - Epoch(train) [87][3040/3757] lr: 1.0000e-04 eta: 3:16:54 time: 0.2295 data_time: 0.0225 memory: 6108 grad_norm: 9.2404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1306 loss: 1.1306 2022/07/23 13:24:02 - mmengine - INFO - Epoch(train) [87][3060/3757] lr: 1.0000e-04 eta: 3:16:49 time: 0.2352 data_time: 0.0217 memory: 6108 grad_norm: 9.1107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2958 loss: 1.2958 2022/07/23 13:24:06 - mmengine - INFO - Epoch(train) [87][3080/3757] lr: 1.0000e-04 eta: 3:16:45 time: 0.2311 data_time: 0.0217 memory: 6108 grad_norm: 9.1678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2281 loss: 1.2281 2022/07/23 13:24:11 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 1.0000e-04 eta: 3:16:40 time: 0.2563 data_time: 0.0222 memory: 6108 grad_norm: 9.1779 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9642 loss: 0.9642 2022/07/23 13:24:16 - mmengine - INFO - Epoch(train) [87][3120/3757] lr: 1.0000e-04 eta: 3:16:35 time: 0.2273 data_time: 0.0171 memory: 6108 grad_norm: 9.4531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0505 loss: 1.0505 2022/07/23 13:24:21 - mmengine - INFO - Epoch(train) [87][3140/3757] lr: 1.0000e-04 eta: 3:16:30 time: 0.2327 data_time: 0.0245 memory: 6108 grad_norm: 9.2374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0129 loss: 1.0129 2022/07/23 13:24:25 - mmengine - INFO - Epoch(train) [87][3160/3757] lr: 1.0000e-04 eta: 3:16:26 time: 0.2345 data_time: 0.0182 memory: 6108 grad_norm: 9.1269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/07/23 13:24:30 - mmengine - INFO - Epoch(train) [87][3180/3757] lr: 1.0000e-04 eta: 3:16:21 time: 0.2328 data_time: 0.0210 memory: 6108 grad_norm: 8.6365 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9968 loss: 0.9968 2022/07/23 13:24:35 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 1.0000e-04 eta: 3:16:16 time: 0.2340 data_time: 0.0243 memory: 6108 grad_norm: 9.3722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3018 loss: 1.3018 2022/07/23 13:24:39 - mmengine - INFO - Epoch(train) [87][3220/3757] lr: 1.0000e-04 eta: 3:16:11 time: 0.2290 data_time: 0.0219 memory: 6108 grad_norm: 8.8122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9490 loss: 0.9490 2022/07/23 13:24:44 - mmengine - INFO - Epoch(train) [87][3240/3757] lr: 1.0000e-04 eta: 3:16:06 time: 0.2318 data_time: 0.0179 memory: 6108 grad_norm: 9.2503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3685 loss: 1.3685 2022/07/23 13:24:49 - mmengine - INFO - Epoch(train) [87][3260/3757] lr: 1.0000e-04 eta: 3:16:02 time: 0.2321 data_time: 0.0293 memory: 6108 grad_norm: 9.4384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2654 loss: 1.2654 2022/07/23 13:24:53 - mmengine - INFO - Epoch(train) [87][3280/3757] lr: 1.0000e-04 eta: 3:15:57 time: 0.2333 data_time: 0.0218 memory: 6108 grad_norm: 9.0446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2510 loss: 1.2510 2022/07/23 13:24:58 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 1.0000e-04 eta: 3:15:52 time: 0.2333 data_time: 0.0207 memory: 6108 grad_norm: 9.1022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/07/23 13:25:03 - mmengine - INFO - Epoch(train) [87][3320/3757] lr: 1.0000e-04 eta: 3:15:47 time: 0.2278 data_time: 0.0227 memory: 6108 grad_norm: 9.1606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1971 loss: 1.1971 2022/07/23 13:25:08 - mmengine - INFO - Epoch(train) [87][3340/3757] lr: 1.0000e-04 eta: 3:15:42 time: 0.2390 data_time: 0.0306 memory: 6108 grad_norm: 9.2907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1850 loss: 1.1850 2022/07/23 13:25:12 - mmengine - INFO - Epoch(train) [87][3360/3757] lr: 1.0000e-04 eta: 3:15:38 time: 0.2278 data_time: 0.0185 memory: 6108 grad_norm: 9.4536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/07/23 13:25:17 - mmengine - INFO - Epoch(train) [87][3380/3757] lr: 1.0000e-04 eta: 3:15:33 time: 0.2352 data_time: 0.0282 memory: 6108 grad_norm: 9.1138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0542 loss: 1.0542 2022/07/23 13:25:22 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 1.0000e-04 eta: 3:15:28 time: 0.2288 data_time: 0.0250 memory: 6108 grad_norm: 8.8187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0942 loss: 1.0942 2022/07/23 13:25:26 - mmengine - INFO - Epoch(train) [87][3420/3757] lr: 1.0000e-04 eta: 3:15:23 time: 0.2308 data_time: 0.0313 memory: 6108 grad_norm: 9.3591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/23 13:25:31 - mmengine - INFO - Epoch(train) [87][3440/3757] lr: 1.0000e-04 eta: 3:15:19 time: 0.2313 data_time: 0.0254 memory: 6108 grad_norm: 8.9564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8277 loss: 0.8277 2022/07/23 13:25:36 - mmengine - INFO - Epoch(train) [87][3460/3757] lr: 1.0000e-04 eta: 3:15:14 time: 0.2344 data_time: 0.0272 memory: 6108 grad_norm: 9.3443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2877 loss: 1.2877 2022/07/23 13:25:40 - mmengine - INFO - Epoch(train) [87][3480/3757] lr: 1.0000e-04 eta: 3:15:09 time: 0.2336 data_time: 0.0266 memory: 6108 grad_norm: 9.1517 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/07/23 13:25:45 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 1.0000e-04 eta: 3:15:04 time: 0.2318 data_time: 0.0252 memory: 6108 grad_norm: 9.4005 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2025 loss: 1.2025 2022/07/23 13:25:50 - mmengine - INFO - Epoch(train) [87][3520/3757] lr: 1.0000e-04 eta: 3:14:59 time: 0.2325 data_time: 0.0190 memory: 6108 grad_norm: 9.0361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/07/23 13:25:54 - mmengine - INFO - Epoch(train) [87][3540/3757] lr: 1.0000e-04 eta: 3:14:55 time: 0.2297 data_time: 0.0191 memory: 6108 grad_norm: 8.9842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/07/23 13:25:59 - mmengine - INFO - Epoch(train) [87][3560/3757] lr: 1.0000e-04 eta: 3:14:50 time: 0.2295 data_time: 0.0279 memory: 6108 grad_norm: 9.3699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0934 loss: 1.0934 2022/07/23 13:26:03 - mmengine - INFO - Epoch(train) [87][3580/3757] lr: 1.0000e-04 eta: 3:14:45 time: 0.2298 data_time: 0.0261 memory: 6108 grad_norm: 9.0223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1283 loss: 1.1283 2022/07/23 13:26:08 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 1.0000e-04 eta: 3:14:40 time: 0.2277 data_time: 0.0182 memory: 6108 grad_norm: 9.5206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0600 loss: 1.0600 2022/07/23 13:26:13 - mmengine - INFO - Epoch(train) [87][3620/3757] lr: 1.0000e-04 eta: 3:14:35 time: 0.2513 data_time: 0.0302 memory: 6108 grad_norm: 8.9560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0227 loss: 1.0227 2022/07/23 13:26:18 - mmengine - INFO - Epoch(train) [87][3640/3757] lr: 1.0000e-04 eta: 3:14:31 time: 0.2245 data_time: 0.0184 memory: 6108 grad_norm: 8.9553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2144 loss: 1.2144 2022/07/23 13:26:22 - mmengine - INFO - Epoch(train) [87][3660/3757] lr: 1.0000e-04 eta: 3:14:26 time: 0.2322 data_time: 0.0238 memory: 6108 grad_norm: 8.9525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1669 loss: 1.1669 2022/07/23 13:26:27 - mmengine - INFO - Epoch(train) [87][3680/3757] lr: 1.0000e-04 eta: 3:14:21 time: 0.2326 data_time: 0.0225 memory: 6108 grad_norm: 9.2185 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2173 loss: 1.2173 2022/07/23 13:26:32 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 1.0000e-04 eta: 3:14:16 time: 0.2337 data_time: 0.0283 memory: 6108 grad_norm: 9.2576 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9768 loss: 0.9768 2022/07/23 13:26:36 - mmengine - INFO - Epoch(train) [87][3720/3757] lr: 1.0000e-04 eta: 3:14:12 time: 0.2356 data_time: 0.0202 memory: 6108 grad_norm: 9.3750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8220 loss: 0.8220 2022/07/23 13:26:41 - mmengine - INFO - Epoch(train) [87][3740/3757] lr: 1.0000e-04 eta: 3:14:07 time: 0.2315 data_time: 0.0254 memory: 6108 grad_norm: 9.1158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1702 loss: 1.1702 2022/07/23 13:26:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:26:44 - mmengine - INFO - Epoch(train) [87][3757/3757] lr: 1.0000e-04 eta: 3:14:07 time: 0.1983 data_time: 0.0193 memory: 6108 grad_norm: 8.9078 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2072 loss: 1.2072 2022/07/23 13:26:50 - mmengine - INFO - Epoch(val) [87][20/310] eta: 0:01:16 time: 0.2627 data_time: 0.1805 memory: 1428 2022/07/23 13:26:53 - mmengine - INFO - Epoch(val) [87][40/310] eta: 0:00:49 time: 0.1817 data_time: 0.1034 memory: 1428 2022/07/23 13:26:58 - mmengine - INFO - Epoch(val) [87][60/310] eta: 0:00:56 time: 0.2277 data_time: 0.1545 memory: 1428 2022/07/23 13:27:03 - mmengine - INFO - Epoch(val) [87][80/310] eta: 0:00:57 time: 0.2506 data_time: 0.1681 memory: 1428 2022/07/23 13:27:07 - mmengine - INFO - Epoch(val) [87][100/310] eta: 0:00:40 time: 0.1919 data_time: 0.1166 memory: 1428 2022/07/23 13:27:12 - mmengine - INFO - Epoch(val) [87][120/310] eta: 0:00:45 time: 0.2388 data_time: 0.1646 memory: 1428 2022/07/23 13:27:16 - mmengine - INFO - Epoch(val) [87][140/310] eta: 0:00:34 time: 0.2018 data_time: 0.1251 memory: 1428 2022/07/23 13:27:20 - mmengine - INFO - Epoch(val) [87][160/310] eta: 0:00:34 time: 0.2325 data_time: 0.1572 memory: 1428 2022/07/23 13:27:24 - mmengine - INFO - Epoch(val) [87][180/310] eta: 0:00:26 time: 0.2026 data_time: 0.1279 memory: 1428 2022/07/23 13:27:28 - mmengine - INFO - Epoch(val) [87][200/310] eta: 0:00:21 time: 0.1946 data_time: 0.1179 memory: 1428 2022/07/23 13:27:33 - mmengine - INFO - Epoch(val) [87][220/310] eta: 0:00:19 time: 0.2158 data_time: 0.1379 memory: 1428 2022/07/23 13:27:36 - mmengine - INFO - Epoch(val) [87][240/310] eta: 0:00:13 time: 0.1937 data_time: 0.1202 memory: 1428 2022/07/23 13:27:41 - mmengine - INFO - Epoch(val) [87][260/310] eta: 0:00:11 time: 0.2300 data_time: 0.1523 memory: 1428 2022/07/23 13:27:45 - mmengine - INFO - Epoch(val) [87][280/310] eta: 0:00:06 time: 0.2086 data_time: 0.1293 memory: 1428 2022/07/23 13:27:49 - mmengine - INFO - Epoch(val) [87][300/310] eta: 0:00:02 time: 0.2008 data_time: 0.1264 memory: 1428 2022/07/23 13:27:53 - mmengine - INFO - Epoch(val) [87][310/310] acc/top1: 0.6653 acc/top5: 0.8663 acc/mean1: 0.6652 2022/07/23 13:28:00 - mmengine - INFO - Epoch(train) [88][20/3757] lr: 1.0000e-04 eta: 3:13:58 time: 0.3308 data_time: 0.0912 memory: 6108 grad_norm: 9.1043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1471 loss: 1.1471 2022/07/23 13:28:04 - mmengine - INFO - Epoch(train) [88][40/3757] lr: 1.0000e-04 eta: 3:13:53 time: 0.2395 data_time: 0.0176 memory: 6108 grad_norm: 9.3553 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3300 loss: 1.3300 2022/07/23 13:28:09 - mmengine - INFO - Epoch(train) [88][60/3757] lr: 1.0000e-04 eta: 3:13:48 time: 0.2420 data_time: 0.0315 memory: 6108 grad_norm: 8.8107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1353 loss: 1.1353 2022/07/23 13:28:14 - mmengine - INFO - Epoch(train) [88][80/3757] lr: 1.0000e-04 eta: 3:13:43 time: 0.2346 data_time: 0.0179 memory: 6108 grad_norm: 8.9065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0773 loss: 1.0773 2022/07/23 13:28:19 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 1.0000e-04 eta: 3:13:39 time: 0.2317 data_time: 0.0222 memory: 6108 grad_norm: 9.4635 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4160 loss: 1.4160 2022/07/23 13:28:24 - mmengine - INFO - Epoch(train) [88][120/3757] lr: 1.0000e-04 eta: 3:13:34 time: 0.2494 data_time: 0.0240 memory: 6108 grad_norm: 9.0387 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3519 loss: 1.3519 2022/07/23 13:28:28 - mmengine - INFO - Epoch(train) [88][140/3757] lr: 1.0000e-04 eta: 3:13:29 time: 0.2343 data_time: 0.0242 memory: 6108 grad_norm: 8.9201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/07/23 13:28:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:28:33 - mmengine - INFO - Epoch(train) [88][160/3757] lr: 1.0000e-04 eta: 3:13:24 time: 0.2314 data_time: 0.0203 memory: 6108 grad_norm: 8.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1393 loss: 1.1393 2022/07/23 13:28:38 - mmengine - INFO - Epoch(train) [88][180/3757] lr: 1.0000e-04 eta: 3:13:19 time: 0.2304 data_time: 0.0237 memory: 6108 grad_norm: 8.8293 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1534 loss: 1.1534 2022/07/23 13:28:42 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 1.0000e-04 eta: 3:13:15 time: 0.2299 data_time: 0.0241 memory: 6108 grad_norm: 8.6299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2233 loss: 1.2233 2022/07/23 13:28:47 - mmengine - INFO - Epoch(train) [88][220/3757] lr: 1.0000e-04 eta: 3:13:10 time: 0.2367 data_time: 0.0231 memory: 6108 grad_norm: 9.1210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/07/23 13:28:52 - mmengine - INFO - Epoch(train) [88][240/3757] lr: 1.0000e-04 eta: 3:13:05 time: 0.2351 data_time: 0.0257 memory: 6108 grad_norm: 9.3190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/07/23 13:28:56 - mmengine - INFO - Epoch(train) [88][260/3757] lr: 1.0000e-04 eta: 3:13:00 time: 0.2313 data_time: 0.0207 memory: 6108 grad_norm: 9.0941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/07/23 13:29:01 - mmengine - INFO - Epoch(train) [88][280/3757] lr: 1.0000e-04 eta: 3:12:56 time: 0.2427 data_time: 0.0201 memory: 6108 grad_norm: 9.0479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4551 loss: 1.4551 2022/07/23 13:29:06 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 1.0000e-04 eta: 3:12:51 time: 0.2375 data_time: 0.0294 memory: 6108 grad_norm: 9.3537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1702 loss: 1.1702 2022/07/23 13:29:11 - mmengine - INFO - Epoch(train) [88][320/3757] lr: 1.0000e-04 eta: 3:12:46 time: 0.2307 data_time: 0.0208 memory: 6108 grad_norm: 8.9689 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1779 loss: 1.1779 2022/07/23 13:29:16 - mmengine - INFO - Epoch(train) [88][340/3757] lr: 1.0000e-04 eta: 3:12:41 time: 0.2448 data_time: 0.0239 memory: 6108 grad_norm: 8.8189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1850 loss: 1.1850 2022/07/23 13:29:20 - mmengine - INFO - Epoch(train) [88][360/3757] lr: 1.0000e-04 eta: 3:12:36 time: 0.2323 data_time: 0.0287 memory: 6108 grad_norm: 9.2265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1771 loss: 1.1771 2022/07/23 13:29:25 - mmengine - INFO - Epoch(train) [88][380/3757] lr: 1.0000e-04 eta: 3:12:32 time: 0.2298 data_time: 0.0263 memory: 6108 grad_norm: 8.8813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/07/23 13:29:30 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 1.0000e-04 eta: 3:12:27 time: 0.2346 data_time: 0.0295 memory: 6108 grad_norm: 8.9126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/07/23 13:29:34 - mmengine - INFO - Epoch(train) [88][420/3757] lr: 1.0000e-04 eta: 3:12:22 time: 0.2391 data_time: 0.0256 memory: 6108 grad_norm: 9.2372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0160 loss: 1.0160 2022/07/23 13:29:39 - mmengine - INFO - Epoch(train) [88][440/3757] lr: 1.0000e-04 eta: 3:12:17 time: 0.2341 data_time: 0.0217 memory: 6108 grad_norm: 9.0795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2450 loss: 1.2450 2022/07/23 13:29:44 - mmengine - INFO - Epoch(train) [88][460/3757] lr: 1.0000e-04 eta: 3:12:13 time: 0.2481 data_time: 0.0185 memory: 6108 grad_norm: 9.2269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2700 loss: 1.2700 2022/07/23 13:29:49 - mmengine - INFO - Epoch(train) [88][480/3757] lr: 1.0000e-04 eta: 3:12:08 time: 0.2316 data_time: 0.0233 memory: 6108 grad_norm: 9.2511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8509 loss: 0.8509 2022/07/23 13:29:54 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 1.0000e-04 eta: 3:12:03 time: 0.2417 data_time: 0.0218 memory: 6108 grad_norm: 8.8597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1399 loss: 1.1399 2022/07/23 13:29:58 - mmengine - INFO - Epoch(train) [88][520/3757] lr: 1.0000e-04 eta: 3:11:58 time: 0.2315 data_time: 0.0193 memory: 6108 grad_norm: 8.7625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3140 loss: 1.3140 2022/07/23 13:30:03 - mmengine - INFO - Epoch(train) [88][540/3757] lr: 1.0000e-04 eta: 3:11:54 time: 0.2430 data_time: 0.0224 memory: 6108 grad_norm: 9.0919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2039 loss: 1.2039 2022/07/23 13:30:08 - mmengine - INFO - Epoch(train) [88][560/3757] lr: 1.0000e-04 eta: 3:11:49 time: 0.2329 data_time: 0.0224 memory: 6108 grad_norm: 9.2197 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2571 loss: 1.2571 2022/07/23 13:30:13 - mmengine - INFO - Epoch(train) [88][580/3757] lr: 1.0000e-04 eta: 3:11:44 time: 0.2288 data_time: 0.0218 memory: 6108 grad_norm: 9.2137 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2069 loss: 1.2069 2022/07/23 13:30:17 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 1.0000e-04 eta: 3:11:39 time: 0.2390 data_time: 0.0300 memory: 6108 grad_norm: 9.0584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1649 loss: 1.1649 2022/07/23 13:30:22 - mmengine - INFO - Epoch(train) [88][620/3757] lr: 1.0000e-04 eta: 3:11:34 time: 0.2326 data_time: 0.0237 memory: 6108 grad_norm: 9.1231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2091 loss: 1.2091 2022/07/23 13:30:27 - mmengine - INFO - Epoch(train) [88][640/3757] lr: 1.0000e-04 eta: 3:11:30 time: 0.2351 data_time: 0.0221 memory: 6108 grad_norm: 8.8879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4673 loss: 1.4673 2022/07/23 13:30:31 - mmengine - INFO - Epoch(train) [88][660/3757] lr: 1.0000e-04 eta: 3:11:25 time: 0.2302 data_time: 0.0230 memory: 6108 grad_norm: 9.0685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/07/23 13:30:36 - mmengine - INFO - Epoch(train) [88][680/3757] lr: 1.0000e-04 eta: 3:11:20 time: 0.2338 data_time: 0.0264 memory: 6108 grad_norm: 8.8017 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2465 loss: 1.2465 2022/07/23 13:30:41 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 1.0000e-04 eta: 3:11:15 time: 0.2290 data_time: 0.0243 memory: 6108 grad_norm: 9.1036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2125 loss: 1.2125 2022/07/23 13:30:46 - mmengine - INFO - Epoch(train) [88][720/3757] lr: 1.0000e-04 eta: 3:11:10 time: 0.2389 data_time: 0.0257 memory: 6108 grad_norm: 9.0444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/07/23 13:30:50 - mmengine - INFO - Epoch(train) [88][740/3757] lr: 1.0000e-04 eta: 3:11:06 time: 0.2305 data_time: 0.0226 memory: 6108 grad_norm: 9.3019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3050 loss: 1.3050 2022/07/23 13:30:55 - mmengine - INFO - Epoch(train) [88][760/3757] lr: 1.0000e-04 eta: 3:11:01 time: 0.2372 data_time: 0.0199 memory: 6108 grad_norm: 9.0944 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4013 loss: 1.4013 2022/07/23 13:31:00 - mmengine - INFO - Epoch(train) [88][780/3757] lr: 1.0000e-04 eta: 3:10:56 time: 0.2293 data_time: 0.0265 memory: 6108 grad_norm: 8.7227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1095 loss: 1.1095 2022/07/23 13:31:04 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 1.0000e-04 eta: 3:10:51 time: 0.2455 data_time: 0.0224 memory: 6108 grad_norm: 9.1439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3392 loss: 1.3392 2022/07/23 13:31:09 - mmengine - INFO - Epoch(train) [88][820/3757] lr: 1.0000e-04 eta: 3:10:47 time: 0.2296 data_time: 0.0200 memory: 6108 grad_norm: 8.9550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/07/23 13:31:14 - mmengine - INFO - Epoch(train) [88][840/3757] lr: 1.0000e-04 eta: 3:10:42 time: 0.2359 data_time: 0.0213 memory: 6108 grad_norm: 9.0370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0673 loss: 1.0673 2022/07/23 13:31:18 - mmengine - INFO - Epoch(train) [88][860/3757] lr: 1.0000e-04 eta: 3:10:37 time: 0.2287 data_time: 0.0220 memory: 6108 grad_norm: 8.6100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0052 loss: 1.0052 2022/07/23 13:31:23 - mmengine - INFO - Epoch(train) [88][880/3757] lr: 1.0000e-04 eta: 3:10:32 time: 0.2358 data_time: 0.0214 memory: 6108 grad_norm: 9.2869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2309 loss: 1.2309 2022/07/23 13:31:28 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 1.0000e-04 eta: 3:10:27 time: 0.2271 data_time: 0.0251 memory: 6108 grad_norm: 9.1352 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2244 loss: 1.2244 2022/07/23 13:31:32 - mmengine - INFO - Epoch(train) [88][920/3757] lr: 1.0000e-04 eta: 3:10:23 time: 0.2314 data_time: 0.0251 memory: 6108 grad_norm: 9.0430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2634 loss: 1.2634 2022/07/23 13:31:37 - mmengine - INFO - Epoch(train) [88][940/3757] lr: 1.0000e-04 eta: 3:10:18 time: 0.2323 data_time: 0.0203 memory: 6108 grad_norm: 8.7282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9957 loss: 0.9957 2022/07/23 13:31:42 - mmengine - INFO - Epoch(train) [88][960/3757] lr: 1.0000e-04 eta: 3:10:13 time: 0.2326 data_time: 0.0268 memory: 6108 grad_norm: 8.9086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/07/23 13:31:47 - mmengine - INFO - Epoch(train) [88][980/3757] lr: 1.0000e-04 eta: 3:10:08 time: 0.2489 data_time: 0.0192 memory: 6108 grad_norm: 9.3135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0176 loss: 1.0176 2022/07/23 13:31:51 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 1.0000e-04 eta: 3:10:04 time: 0.2281 data_time: 0.0187 memory: 6108 grad_norm: 9.2964 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3257 loss: 1.3257 2022/07/23 13:31:56 - mmengine - INFO - Epoch(train) [88][1020/3757] lr: 1.0000e-04 eta: 3:09:59 time: 0.2317 data_time: 0.0255 memory: 6108 grad_norm: 8.9134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/07/23 13:32:01 - mmengine - INFO - Epoch(train) [88][1040/3757] lr: 1.0000e-04 eta: 3:09:54 time: 0.2320 data_time: 0.0250 memory: 6108 grad_norm: 8.8956 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8032 loss: 0.8032 2022/07/23 13:32:05 - mmengine - INFO - Epoch(train) [88][1060/3757] lr: 1.0000e-04 eta: 3:09:49 time: 0.2355 data_time: 0.0270 memory: 6108 grad_norm: 8.8496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/07/23 13:32:10 - mmengine - INFO - Epoch(train) [88][1080/3757] lr: 1.0000e-04 eta: 3:09:44 time: 0.2340 data_time: 0.0265 memory: 6108 grad_norm: 9.0877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/07/23 13:32:15 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 1.0000e-04 eta: 3:09:40 time: 0.2314 data_time: 0.0272 memory: 6108 grad_norm: 8.9133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/07/23 13:32:20 - mmengine - INFO - Epoch(train) [88][1120/3757] lr: 1.0000e-04 eta: 3:09:35 time: 0.2342 data_time: 0.0256 memory: 6108 grad_norm: 9.4178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/07/23 13:32:24 - mmengine - INFO - Epoch(train) [88][1140/3757] lr: 1.0000e-04 eta: 3:09:30 time: 0.2425 data_time: 0.0210 memory: 6108 grad_norm: 9.4247 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0546 loss: 1.0546 2022/07/23 13:32:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:32:29 - mmengine - INFO - Epoch(train) [88][1160/3757] lr: 1.0000e-04 eta: 3:09:25 time: 0.2262 data_time: 0.0201 memory: 6108 grad_norm: 8.8299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/07/23 13:32:34 - mmengine - INFO - Epoch(train) [88][1180/3757] lr: 1.0000e-04 eta: 3:09:21 time: 0.2371 data_time: 0.0196 memory: 6108 grad_norm: 9.3213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3208 loss: 1.3208 2022/07/23 13:32:38 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 1.0000e-04 eta: 3:09:16 time: 0.2318 data_time: 0.0240 memory: 6108 grad_norm: 9.2502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2215 loss: 1.2215 2022/07/23 13:32:43 - mmengine - INFO - Epoch(train) [88][1220/3757] lr: 1.0000e-04 eta: 3:09:11 time: 0.2320 data_time: 0.0213 memory: 6108 grad_norm: 9.1390 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0667 loss: 1.0667 2022/07/23 13:32:48 - mmengine - INFO - Epoch(train) [88][1240/3757] lr: 1.0000e-04 eta: 3:09:06 time: 0.2336 data_time: 0.0267 memory: 6108 grad_norm: 9.2915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/07/23 13:32:52 - mmengine - INFO - Epoch(train) [88][1260/3757] lr: 1.0000e-04 eta: 3:09:01 time: 0.2343 data_time: 0.0245 memory: 6108 grad_norm: 9.2208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2379 loss: 1.2379 2022/07/23 13:32:57 - mmengine - INFO - Epoch(train) [88][1280/3757] lr: 1.0000e-04 eta: 3:08:57 time: 0.2317 data_time: 0.0241 memory: 6108 grad_norm: 9.3033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3150 loss: 1.3150 2022/07/23 13:33:02 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 1.0000e-04 eta: 3:08:52 time: 0.2330 data_time: 0.0212 memory: 6108 grad_norm: 9.6914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3726 loss: 1.3726 2022/07/23 13:33:07 - mmengine - INFO - Epoch(train) [88][1320/3757] lr: 1.0000e-04 eta: 3:08:47 time: 0.2367 data_time: 0.0264 memory: 6108 grad_norm: 9.1510 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/07/23 13:33:11 - mmengine - INFO - Epoch(train) [88][1340/3757] lr: 1.0000e-04 eta: 3:08:42 time: 0.2275 data_time: 0.0206 memory: 6108 grad_norm: 9.0886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1067 loss: 1.1067 2022/07/23 13:33:16 - mmengine - INFO - Epoch(train) [88][1360/3757] lr: 1.0000e-04 eta: 3:08:37 time: 0.2282 data_time: 0.0245 memory: 6108 grad_norm: 9.4478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/07/23 13:33:20 - mmengine - INFO - Epoch(train) [88][1380/3757] lr: 1.0000e-04 eta: 3:08:33 time: 0.2337 data_time: 0.0290 memory: 6108 grad_norm: 9.0536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2106 loss: 1.2106 2022/07/23 13:33:25 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 1.0000e-04 eta: 3:08:28 time: 0.2342 data_time: 0.0189 memory: 6108 grad_norm: 8.7854 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3438 loss: 1.3438 2022/07/23 13:33:30 - mmengine - INFO - Epoch(train) [88][1420/3757] lr: 1.0000e-04 eta: 3:08:23 time: 0.2329 data_time: 0.0228 memory: 6108 grad_norm: 8.8730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1186 loss: 1.1186 2022/07/23 13:33:35 - mmengine - INFO - Epoch(train) [88][1440/3757] lr: 1.0000e-04 eta: 3:08:18 time: 0.2364 data_time: 0.0297 memory: 6108 grad_norm: 9.0915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/07/23 13:33:39 - mmengine - INFO - Epoch(train) [88][1460/3757] lr: 1.0000e-04 eta: 3:08:14 time: 0.2339 data_time: 0.0237 memory: 6108 grad_norm: 9.4601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0672 loss: 1.0672 2022/07/23 13:33:44 - mmengine - INFO - Epoch(train) [88][1480/3757] lr: 1.0000e-04 eta: 3:08:09 time: 0.2370 data_time: 0.0237 memory: 6108 grad_norm: 9.0282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1776 loss: 1.1776 2022/07/23 13:33:49 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 1.0000e-04 eta: 3:08:04 time: 0.2306 data_time: 0.0212 memory: 6108 grad_norm: 9.2932 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4400 loss: 1.4400 2022/07/23 13:33:54 - mmengine - INFO - Epoch(train) [88][1520/3757] lr: 1.0000e-04 eta: 3:07:59 time: 0.2472 data_time: 0.0205 memory: 6108 grad_norm: 9.0363 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1784 loss: 1.1784 2022/07/23 13:33:58 - mmengine - INFO - Epoch(train) [88][1540/3757] lr: 1.0000e-04 eta: 3:07:54 time: 0.2242 data_time: 0.0199 memory: 6108 grad_norm: 9.0897 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/07/23 13:34:03 - mmengine - INFO - Epoch(train) [88][1560/3757] lr: 1.0000e-04 eta: 3:07:50 time: 0.2279 data_time: 0.0251 memory: 6108 grad_norm: 9.1120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9922 loss: 0.9922 2022/07/23 13:34:08 - mmengine - INFO - Epoch(train) [88][1580/3757] lr: 1.0000e-04 eta: 3:07:45 time: 0.2444 data_time: 0.0234 memory: 6108 grad_norm: 9.4806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1118 loss: 1.1118 2022/07/23 13:34:12 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 1.0000e-04 eta: 3:07:40 time: 0.2283 data_time: 0.0197 memory: 6108 grad_norm: 9.1694 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/07/23 13:34:17 - mmengine - INFO - Epoch(train) [88][1620/3757] lr: 1.0000e-04 eta: 3:07:35 time: 0.2355 data_time: 0.0219 memory: 6108 grad_norm: 9.1123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1925 loss: 1.1925 2022/07/23 13:34:22 - mmengine - INFO - Epoch(train) [88][1640/3757] lr: 1.0000e-04 eta: 3:07:31 time: 0.2301 data_time: 0.0258 memory: 6108 grad_norm: 9.4440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2632 loss: 1.2632 2022/07/23 13:34:26 - mmengine - INFO - Epoch(train) [88][1660/3757] lr: 1.0000e-04 eta: 3:07:26 time: 0.2310 data_time: 0.0236 memory: 6108 grad_norm: 8.9315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/07/23 13:34:31 - mmengine - INFO - Epoch(train) [88][1680/3757] lr: 1.0000e-04 eta: 3:07:21 time: 0.2283 data_time: 0.0214 memory: 6108 grad_norm: 9.3045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3221 loss: 1.3221 2022/07/23 13:34:36 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 1.0000e-04 eta: 3:07:16 time: 0.2381 data_time: 0.0202 memory: 6108 grad_norm: 9.0060 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/07/23 13:34:40 - mmengine - INFO - Epoch(train) [88][1720/3757] lr: 1.0000e-04 eta: 3:07:11 time: 0.2341 data_time: 0.0244 memory: 6108 grad_norm: 9.5508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/07/23 13:34:45 - mmengine - INFO - Epoch(train) [88][1740/3757] lr: 1.0000e-04 eta: 3:07:07 time: 0.2437 data_time: 0.0224 memory: 6108 grad_norm: 9.3832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/07/23 13:34:50 - mmengine - INFO - Epoch(train) [88][1760/3757] lr: 1.0000e-04 eta: 3:07:02 time: 0.2246 data_time: 0.0244 memory: 6108 grad_norm: 9.2113 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9299 loss: 0.9299 2022/07/23 13:34:54 - mmengine - INFO - Epoch(train) [88][1780/3757] lr: 1.0000e-04 eta: 3:06:57 time: 0.2263 data_time: 0.0190 memory: 6108 grad_norm: 8.8150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3161 loss: 1.3161 2022/07/23 13:34:59 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 1.0000e-04 eta: 3:06:52 time: 0.2329 data_time: 0.0242 memory: 6108 grad_norm: 8.9963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/07/23 13:35:04 - mmengine - INFO - Epoch(train) [88][1820/3757] lr: 1.0000e-04 eta: 3:06:48 time: 0.2519 data_time: 0.0233 memory: 6108 grad_norm: 9.3069 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2780 loss: 1.2780 2022/07/23 13:35:09 - mmengine - INFO - Epoch(train) [88][1840/3757] lr: 1.0000e-04 eta: 3:06:43 time: 0.2311 data_time: 0.0200 memory: 6108 grad_norm: 8.9234 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9976 loss: 0.9976 2022/07/23 13:35:14 - mmengine - INFO - Epoch(train) [88][1860/3757] lr: 1.0000e-04 eta: 3:06:38 time: 0.2328 data_time: 0.0311 memory: 6108 grad_norm: 9.0047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3181 loss: 1.3181 2022/07/23 13:35:18 - mmengine - INFO - Epoch(train) [88][1880/3757] lr: 1.0000e-04 eta: 3:06:33 time: 0.2269 data_time: 0.0243 memory: 6108 grad_norm: 9.1104 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/07/23 13:35:23 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 1.0000e-04 eta: 3:06:28 time: 0.2281 data_time: 0.0198 memory: 6108 grad_norm: 9.0272 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3564 loss: 1.3564 2022/07/23 13:35:28 - mmengine - INFO - Epoch(train) [88][1920/3757] lr: 1.0000e-04 eta: 3:06:24 time: 0.2421 data_time: 0.0301 memory: 6108 grad_norm: 8.6261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1725 loss: 1.1725 2022/07/23 13:35:32 - mmengine - INFO - Epoch(train) [88][1940/3757] lr: 1.0000e-04 eta: 3:06:19 time: 0.2302 data_time: 0.0216 memory: 6108 grad_norm: 8.9888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2205 loss: 1.2205 2022/07/23 13:35:37 - mmengine - INFO - Epoch(train) [88][1960/3757] lr: 1.0000e-04 eta: 3:06:14 time: 0.2302 data_time: 0.0211 memory: 6108 grad_norm: 8.8220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0593 loss: 1.0593 2022/07/23 13:35:42 - mmengine - INFO - Epoch(train) [88][1980/3757] lr: 1.0000e-04 eta: 3:06:09 time: 0.2346 data_time: 0.0284 memory: 6108 grad_norm: 9.4423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/07/23 13:35:46 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 1.0000e-04 eta: 3:06:04 time: 0.2356 data_time: 0.0193 memory: 6108 grad_norm: 9.2348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4448 loss: 1.4448 2022/07/23 13:35:51 - mmengine - INFO - Epoch(train) [88][2020/3757] lr: 1.0000e-04 eta: 3:06:00 time: 0.2313 data_time: 0.0198 memory: 6108 grad_norm: 9.5586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/23 13:35:56 - mmengine - INFO - Epoch(train) [88][2040/3757] lr: 1.0000e-04 eta: 3:05:55 time: 0.2336 data_time: 0.0236 memory: 6108 grad_norm: 9.3010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2632 loss: 1.2632 2022/07/23 13:36:00 - mmengine - INFO - Epoch(train) [88][2060/3757] lr: 1.0000e-04 eta: 3:05:50 time: 0.2303 data_time: 0.0224 memory: 6108 grad_norm: 8.9495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/07/23 13:36:05 - mmengine - INFO - Epoch(train) [88][2080/3757] lr: 1.0000e-04 eta: 3:05:45 time: 0.2389 data_time: 0.0232 memory: 6108 grad_norm: 8.9881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1459 loss: 1.1459 2022/07/23 13:36:10 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 1.0000e-04 eta: 3:05:41 time: 0.2248 data_time: 0.0217 memory: 6108 grad_norm: 8.9239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/07/23 13:36:14 - mmengine - INFO - Epoch(train) [88][2120/3757] lr: 1.0000e-04 eta: 3:05:36 time: 0.2303 data_time: 0.0225 memory: 6108 grad_norm: 9.2107 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0801 loss: 1.0801 2022/07/23 13:36:19 - mmengine - INFO - Epoch(train) [88][2140/3757] lr: 1.0000e-04 eta: 3:05:31 time: 0.2317 data_time: 0.0220 memory: 6108 grad_norm: 9.1813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/07/23 13:36:19 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:36:24 - mmengine - INFO - Epoch(train) [88][2160/3757] lr: 1.0000e-04 eta: 3:05:26 time: 0.2372 data_time: 0.0235 memory: 6108 grad_norm: 9.0069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/07/23 13:36:28 - mmengine - INFO - Epoch(train) [88][2180/3757] lr: 1.0000e-04 eta: 3:05:21 time: 0.2271 data_time: 0.0183 memory: 6108 grad_norm: 9.2604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2534 loss: 1.2534 2022/07/23 13:36:33 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 1.0000e-04 eta: 3:05:17 time: 0.2321 data_time: 0.0227 memory: 6108 grad_norm: 8.9847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8320 loss: 0.8320 2022/07/23 13:36:38 - mmengine - INFO - Epoch(train) [88][2220/3757] lr: 1.0000e-04 eta: 3:05:12 time: 0.2305 data_time: 0.0250 memory: 6108 grad_norm: 9.3942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1360 loss: 1.1360 2022/07/23 13:36:42 - mmengine - INFO - Epoch(train) [88][2240/3757] lr: 1.0000e-04 eta: 3:05:07 time: 0.2290 data_time: 0.0243 memory: 6108 grad_norm: 9.3333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/07/23 13:36:47 - mmengine - INFO - Epoch(train) [88][2260/3757] lr: 1.0000e-04 eta: 3:05:02 time: 0.2343 data_time: 0.0212 memory: 6108 grad_norm: 8.9739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9457 loss: 0.9457 2022/07/23 13:36:52 - mmengine - INFO - Epoch(train) [88][2280/3757] lr: 1.0000e-04 eta: 3:04:57 time: 0.2417 data_time: 0.0204 memory: 6108 grad_norm: 8.8001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2054 loss: 1.2054 2022/07/23 13:36:57 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 1.0000e-04 eta: 3:04:53 time: 0.2331 data_time: 0.0175 memory: 6108 grad_norm: 8.9089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3556 loss: 1.3556 2022/07/23 13:37:01 - mmengine - INFO - Epoch(train) [88][2320/3757] lr: 1.0000e-04 eta: 3:04:48 time: 0.2301 data_time: 0.0195 memory: 6108 grad_norm: 9.4722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3667 loss: 1.3667 2022/07/23 13:37:06 - mmengine - INFO - Epoch(train) [88][2340/3757] lr: 1.0000e-04 eta: 3:04:43 time: 0.2387 data_time: 0.0277 memory: 6108 grad_norm: 9.4669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/07/23 13:37:11 - mmengine - INFO - Epoch(train) [88][2360/3757] lr: 1.0000e-04 eta: 3:04:38 time: 0.2272 data_time: 0.0297 memory: 6108 grad_norm: 9.5350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2549 loss: 1.2549 2022/07/23 13:37:15 - mmengine - INFO - Epoch(train) [88][2380/3757] lr: 1.0000e-04 eta: 3:04:34 time: 0.2256 data_time: 0.0196 memory: 6108 grad_norm: 9.4709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3115 loss: 1.3115 2022/07/23 13:37:20 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 1.0000e-04 eta: 3:04:29 time: 0.2311 data_time: 0.0269 memory: 6108 grad_norm: 9.0972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2491 loss: 1.2491 2022/07/23 13:37:25 - mmengine - INFO - Epoch(train) [88][2420/3757] lr: 1.0000e-04 eta: 3:04:24 time: 0.2496 data_time: 0.0184 memory: 6108 grad_norm: 9.1062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/07/23 13:37:29 - mmengine - INFO - Epoch(train) [88][2440/3757] lr: 1.0000e-04 eta: 3:04:19 time: 0.2245 data_time: 0.0224 memory: 6108 grad_norm: 9.0341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0240 loss: 1.0240 2022/07/23 13:37:34 - mmengine - INFO - Epoch(train) [88][2460/3757] lr: 1.0000e-04 eta: 3:04:14 time: 0.2314 data_time: 0.0221 memory: 6108 grad_norm: 9.1661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/07/23 13:37:38 - mmengine - INFO - Epoch(train) [88][2480/3757] lr: 1.0000e-04 eta: 3:04:10 time: 0.2280 data_time: 0.0225 memory: 6108 grad_norm: 8.9453 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/23 13:37:43 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 1.0000e-04 eta: 3:04:05 time: 0.2314 data_time: 0.0189 memory: 6108 grad_norm: 9.2132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3725 loss: 1.3725 2022/07/23 13:37:48 - mmengine - INFO - Epoch(train) [88][2520/3757] lr: 1.0000e-04 eta: 3:04:00 time: 0.2451 data_time: 0.0231 memory: 6108 grad_norm: 9.0983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/07/23 13:37:53 - mmengine - INFO - Epoch(train) [88][2540/3757] lr: 1.0000e-04 eta: 3:03:55 time: 0.2314 data_time: 0.0214 memory: 6108 grad_norm: 9.3756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/07/23 13:37:57 - mmengine - INFO - Epoch(train) [88][2560/3757] lr: 1.0000e-04 eta: 3:03:51 time: 0.2293 data_time: 0.0206 memory: 6108 grad_norm: 9.0300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/23 13:38:02 - mmengine - INFO - Epoch(train) [88][2580/3757] lr: 1.0000e-04 eta: 3:03:46 time: 0.2342 data_time: 0.0299 memory: 6108 grad_norm: 9.0971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/07/23 13:38:07 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 1.0000e-04 eta: 3:03:41 time: 0.2343 data_time: 0.0230 memory: 6108 grad_norm: 8.7755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/07/23 13:38:12 - mmengine - INFO - Epoch(train) [88][2620/3757] lr: 1.0000e-04 eta: 3:03:36 time: 0.2428 data_time: 0.0232 memory: 6108 grad_norm: 9.0738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/07/23 13:38:16 - mmengine - INFO - Epoch(train) [88][2640/3757] lr: 1.0000e-04 eta: 3:03:31 time: 0.2275 data_time: 0.0235 memory: 6108 grad_norm: 9.0758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4824 loss: 1.4824 2022/07/23 13:38:21 - mmengine - INFO - Epoch(train) [88][2660/3757] lr: 1.0000e-04 eta: 3:03:27 time: 0.2331 data_time: 0.0241 memory: 6108 grad_norm: 9.0657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1935 loss: 1.1935 2022/07/23 13:38:26 - mmengine - INFO - Epoch(train) [88][2680/3757] lr: 1.0000e-04 eta: 3:03:22 time: 0.2342 data_time: 0.0226 memory: 6108 grad_norm: 8.9941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/07/23 13:38:30 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 1.0000e-04 eta: 3:03:17 time: 0.2281 data_time: 0.0232 memory: 6108 grad_norm: 8.9105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/07/23 13:38:35 - mmengine - INFO - Epoch(train) [88][2720/3757] lr: 1.0000e-04 eta: 3:03:12 time: 0.2313 data_time: 0.0206 memory: 6108 grad_norm: 9.7711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2993 loss: 1.2993 2022/07/23 13:38:40 - mmengine - INFO - Epoch(train) [88][2740/3757] lr: 1.0000e-04 eta: 3:03:07 time: 0.2340 data_time: 0.0257 memory: 6108 grad_norm: 9.2703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9755 loss: 0.9755 2022/07/23 13:38:45 - mmengine - INFO - Epoch(train) [88][2760/3757] lr: 1.0000e-04 eta: 3:03:03 time: 0.2548 data_time: 0.0235 memory: 6108 grad_norm: 8.6098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/07/23 13:38:49 - mmengine - INFO - Epoch(train) [88][2780/3757] lr: 1.0000e-04 eta: 3:02:58 time: 0.2283 data_time: 0.0217 memory: 6108 grad_norm: 9.1766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/07/23 13:38:54 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 1.0000e-04 eta: 3:02:53 time: 0.2291 data_time: 0.0207 memory: 6108 grad_norm: 9.2519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0570 loss: 1.0570 2022/07/23 13:38:59 - mmengine - INFO - Epoch(train) [88][2820/3757] lr: 1.0000e-04 eta: 3:02:48 time: 0.2339 data_time: 0.0292 memory: 6108 grad_norm: 8.7943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9357 loss: 0.9357 2022/07/23 13:39:03 - mmengine - INFO - Epoch(train) [88][2840/3757] lr: 1.0000e-04 eta: 3:02:44 time: 0.2308 data_time: 0.0269 memory: 6108 grad_norm: 9.5383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1464 loss: 1.1464 2022/07/23 13:39:08 - mmengine - INFO - Epoch(train) [88][2860/3757] lr: 1.0000e-04 eta: 3:02:39 time: 0.2413 data_time: 0.0239 memory: 6108 grad_norm: 9.1895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/07/23 13:39:13 - mmengine - INFO - Epoch(train) [88][2880/3757] lr: 1.0000e-04 eta: 3:02:34 time: 0.2386 data_time: 0.0360 memory: 6108 grad_norm: 9.2733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0408 loss: 1.0408 2022/07/23 13:39:18 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 1.0000e-04 eta: 3:02:29 time: 0.2356 data_time: 0.0302 memory: 6108 grad_norm: 9.0808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/07/23 13:39:22 - mmengine - INFO - Epoch(train) [88][2920/3757] lr: 1.0000e-04 eta: 3:02:25 time: 0.2297 data_time: 0.0205 memory: 6108 grad_norm: 9.3576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9111 loss: 0.9111 2022/07/23 13:39:27 - mmengine - INFO - Epoch(train) [88][2940/3757] lr: 1.0000e-04 eta: 3:02:20 time: 0.2343 data_time: 0.0224 memory: 6108 grad_norm: 9.2724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9596 loss: 0.9596 2022/07/23 13:39:32 - mmengine - INFO - Epoch(train) [88][2960/3757] lr: 1.0000e-04 eta: 3:02:15 time: 0.2237 data_time: 0.0216 memory: 6108 grad_norm: 9.2744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1397 loss: 1.1397 2022/07/23 13:39:36 - mmengine - INFO - Epoch(train) [88][2980/3757] lr: 1.0000e-04 eta: 3:02:10 time: 0.2298 data_time: 0.0189 memory: 6108 grad_norm: 8.5006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/07/23 13:39:41 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 1.0000e-04 eta: 3:02:05 time: 0.2374 data_time: 0.0275 memory: 6108 grad_norm: 8.7320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0315 loss: 1.0315 2022/07/23 13:39:46 - mmengine - INFO - Epoch(train) [88][3020/3757] lr: 1.0000e-04 eta: 3:02:01 time: 0.2429 data_time: 0.0281 memory: 6108 grad_norm: 8.9990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1453 loss: 1.1453 2022/07/23 13:39:50 - mmengine - INFO - Epoch(train) [88][3040/3757] lr: 1.0000e-04 eta: 3:01:56 time: 0.2274 data_time: 0.0203 memory: 6108 grad_norm: 9.2361 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2067 loss: 1.2067 2022/07/23 13:39:55 - mmengine - INFO - Epoch(train) [88][3060/3757] lr: 1.0000e-04 eta: 3:01:51 time: 0.2374 data_time: 0.0328 memory: 6108 grad_norm: 8.3100 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9833 loss: 0.9833 2022/07/23 13:40:00 - mmengine - INFO - Epoch(train) [88][3080/3757] lr: 1.0000e-04 eta: 3:01:46 time: 0.2277 data_time: 0.0238 memory: 6108 grad_norm: 9.3302 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0659 loss: 1.0659 2022/07/23 13:40:05 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 1.0000e-04 eta: 3:01:41 time: 0.2377 data_time: 0.0195 memory: 6108 grad_norm: 8.6286 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9978 loss: 0.9978 2022/07/23 13:40:09 - mmengine - INFO - Epoch(train) [88][3120/3757] lr: 1.0000e-04 eta: 3:01:37 time: 0.2284 data_time: 0.0264 memory: 6108 grad_norm: 9.0218 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/07/23 13:40:14 - mmengine - INFO - Epoch(train) [88][3140/3757] lr: 1.0000e-04 eta: 3:01:32 time: 0.2335 data_time: 0.0236 memory: 6108 grad_norm: 9.1199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/07/23 13:40:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:40:19 - mmengine - INFO - Epoch(train) [88][3160/3757] lr: 1.0000e-04 eta: 3:01:27 time: 0.2528 data_time: 0.0220 memory: 6108 grad_norm: 8.9011 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0770 loss: 1.0770 2022/07/23 13:40:24 - mmengine - INFO - Epoch(train) [88][3180/3757] lr: 1.0000e-04 eta: 3:01:22 time: 0.2296 data_time: 0.0283 memory: 6108 grad_norm: 9.2165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/07/23 13:40:28 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 1.0000e-04 eta: 3:01:18 time: 0.2383 data_time: 0.0231 memory: 6108 grad_norm: 8.9025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/07/23 13:40:33 - mmengine - INFO - Epoch(train) [88][3220/3757] lr: 1.0000e-04 eta: 3:01:13 time: 0.2317 data_time: 0.0220 memory: 6108 grad_norm: 9.5041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/07/23 13:40:38 - mmengine - INFO - Epoch(train) [88][3240/3757] lr: 1.0000e-04 eta: 3:01:08 time: 0.2317 data_time: 0.0236 memory: 6108 grad_norm: 8.9183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/07/23 13:40:42 - mmengine - INFO - Epoch(train) [88][3260/3757] lr: 1.0000e-04 eta: 3:01:03 time: 0.2322 data_time: 0.0201 memory: 6108 grad_norm: 9.4181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2852 loss: 1.2852 2022/07/23 13:40:47 - mmengine - INFO - Epoch(train) [88][3280/3757] lr: 1.0000e-04 eta: 3:00:59 time: 0.2383 data_time: 0.0191 memory: 6108 grad_norm: 9.1518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/07/23 13:40:52 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 1.0000e-04 eta: 3:00:54 time: 0.2321 data_time: 0.0227 memory: 6108 grad_norm: 9.2586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/07/23 13:40:56 - mmengine - INFO - Epoch(train) [88][3320/3757] lr: 1.0000e-04 eta: 3:00:49 time: 0.2283 data_time: 0.0215 memory: 6108 grad_norm: 8.7699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/07/23 13:41:01 - mmengine - INFO - Epoch(train) [88][3340/3757] lr: 1.0000e-04 eta: 3:00:44 time: 0.2440 data_time: 0.0254 memory: 6108 grad_norm: 9.2494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9378 loss: 0.9378 2022/07/23 13:41:06 - mmengine - INFO - Epoch(train) [88][3360/3757] lr: 1.0000e-04 eta: 3:00:39 time: 0.2355 data_time: 0.0250 memory: 6108 grad_norm: 9.4402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3207 loss: 1.3207 2022/07/23 13:41:11 - mmengine - INFO - Epoch(train) [88][3380/3757] lr: 1.0000e-04 eta: 3:00:35 time: 0.2319 data_time: 0.0173 memory: 6108 grad_norm: 9.1545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2515 loss: 1.2515 2022/07/23 13:41:15 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 1.0000e-04 eta: 3:00:30 time: 0.2282 data_time: 0.0235 memory: 6108 grad_norm: 9.6420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/07/23 13:41:20 - mmengine - INFO - Epoch(train) [88][3420/3757] lr: 1.0000e-04 eta: 3:00:25 time: 0.2320 data_time: 0.0233 memory: 6108 grad_norm: 9.1325 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2656 loss: 1.2656 2022/07/23 13:41:25 - mmengine - INFO - Epoch(train) [88][3440/3757] lr: 1.0000e-04 eta: 3:00:20 time: 0.2325 data_time: 0.0173 memory: 6108 grad_norm: 9.5940 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0869 loss: 1.0869 2022/07/23 13:41:29 - mmengine - INFO - Epoch(train) [88][3460/3757] lr: 1.0000e-04 eta: 3:00:15 time: 0.2296 data_time: 0.0244 memory: 6108 grad_norm: 9.2155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4829 loss: 1.4829 2022/07/23 13:41:34 - mmengine - INFO - Epoch(train) [88][3480/3757] lr: 1.0000e-04 eta: 3:00:11 time: 0.2328 data_time: 0.0220 memory: 6108 grad_norm: 9.0770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/07/23 13:41:39 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 1.0000e-04 eta: 3:00:06 time: 0.2338 data_time: 0.0196 memory: 6108 grad_norm: 9.4183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3686 loss: 1.3686 2022/07/23 13:41:43 - mmengine - INFO - Epoch(train) [88][3520/3757] lr: 1.0000e-04 eta: 3:00:01 time: 0.2267 data_time: 0.0200 memory: 6108 grad_norm: 9.1555 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1151 loss: 1.1151 2022/07/23 13:41:48 - mmengine - INFO - Epoch(train) [88][3540/3757] lr: 1.0000e-04 eta: 2:59:56 time: 0.2441 data_time: 0.0370 memory: 6108 grad_norm: 9.0057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/07/23 13:41:53 - mmengine - INFO - Epoch(train) [88][3560/3757] lr: 1.0000e-04 eta: 2:59:52 time: 0.2290 data_time: 0.0221 memory: 6108 grad_norm: 9.1743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/07/23 13:41:58 - mmengine - INFO - Epoch(train) [88][3580/3757] lr: 1.0000e-04 eta: 2:59:47 time: 0.2397 data_time: 0.0324 memory: 6108 grad_norm: 9.3022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/07/23 13:42:02 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 1.0000e-04 eta: 2:59:42 time: 0.2340 data_time: 0.0322 memory: 6108 grad_norm: 9.3197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1950 loss: 1.1950 2022/07/23 13:42:07 - mmengine - INFO - Epoch(train) [88][3620/3757] lr: 1.0000e-04 eta: 2:59:37 time: 0.2375 data_time: 0.0213 memory: 6108 grad_norm: 8.9057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/07/23 13:42:12 - mmengine - INFO - Epoch(train) [88][3640/3757] lr: 1.0000e-04 eta: 2:59:32 time: 0.2287 data_time: 0.0220 memory: 6108 grad_norm: 9.3507 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2597 loss: 1.2597 2022/07/23 13:42:17 - mmengine - INFO - Epoch(train) [88][3660/3757] lr: 1.0000e-04 eta: 2:59:28 time: 0.2446 data_time: 0.0216 memory: 6108 grad_norm: 9.3217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/07/23 13:42:22 - mmengine - INFO - Epoch(train) [88][3680/3757] lr: 1.0000e-04 eta: 2:59:23 time: 0.2411 data_time: 0.0178 memory: 6108 grad_norm: 9.1282 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/07/23 13:42:26 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 1.0000e-04 eta: 2:59:18 time: 0.2307 data_time: 0.0270 memory: 6108 grad_norm: 8.8067 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/07/23 13:42:31 - mmengine - INFO - Epoch(train) [88][3720/3757] lr: 1.0000e-04 eta: 2:59:13 time: 0.2300 data_time: 0.0249 memory: 6108 grad_norm: 9.3373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1262 loss: 1.1262 2022/07/23 13:42:36 - mmengine - INFO - Epoch(train) [88][3740/3757] lr: 1.0000e-04 eta: 2:59:09 time: 0.2348 data_time: 0.0259 memory: 6108 grad_norm: 9.2363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/07/23 13:42:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:42:39 - mmengine - INFO - Epoch(train) [88][3757/3757] lr: 1.0000e-04 eta: 2:59:09 time: 0.1970 data_time: 0.0155 memory: 6108 grad_norm: 9.2188 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3042 loss: 1.3042 2022/07/23 13:42:44 - mmengine - INFO - Epoch(val) [88][20/310] eta: 0:01:17 time: 0.2688 data_time: 0.1884 memory: 1428 2022/07/23 13:42:48 - mmengine - INFO - Epoch(val) [88][40/310] eta: 0:00:50 time: 0.1874 data_time: 0.1106 memory: 1428 2022/07/23 13:42:53 - mmengine - INFO - Epoch(val) [88][60/310] eta: 0:00:59 time: 0.2394 data_time: 0.1650 memory: 1428 2022/07/23 13:42:56 - mmengine - INFO - Epoch(val) [88][80/310] eta: 0:00:41 time: 0.1809 data_time: 0.0937 memory: 1428 2022/07/23 13:43:01 - mmengine - INFO - Epoch(val) [88][100/310] eta: 0:00:49 time: 0.2380 data_time: 0.1587 memory: 1428 2022/07/23 13:43:05 - mmengine - INFO - Epoch(val) [88][120/310] eta: 0:00:34 time: 0.1821 data_time: 0.1023 memory: 1428 2022/07/23 13:43:09 - mmengine - INFO - Epoch(val) [88][140/310] eta: 0:00:38 time: 0.2281 data_time: 0.1545 memory: 1428 2022/07/23 13:43:14 - mmengine - INFO - Epoch(val) [88][160/310] eta: 0:00:32 time: 0.2191 data_time: 0.1434 memory: 1428 2022/07/23 13:43:18 - mmengine - INFO - Epoch(val) [88][180/310] eta: 0:00:27 time: 0.2104 data_time: 0.1338 memory: 1428 2022/07/23 13:43:22 - mmengine - INFO - Epoch(val) [88][200/310] eta: 0:00:21 time: 0.1971 data_time: 0.1184 memory: 1428 2022/07/23 13:43:27 - mmengine - INFO - Epoch(val) [88][220/310] eta: 0:00:21 time: 0.2343 data_time: 0.1585 memory: 1428 2022/07/23 13:43:31 - mmengine - INFO - Epoch(val) [88][240/310] eta: 0:00:16 time: 0.2371 data_time: 0.1591 memory: 1428 2022/07/23 13:43:35 - mmengine - INFO - Epoch(val) [88][260/310] eta: 0:00:09 time: 0.1873 data_time: 0.1079 memory: 1428 2022/07/23 13:43:40 - mmengine - INFO - Epoch(val) [88][280/310] eta: 0:00:07 time: 0.2381 data_time: 0.1647 memory: 1428 2022/07/23 13:43:43 - mmengine - INFO - Epoch(val) [88][300/310] eta: 0:00:01 time: 0.1721 data_time: 0.0956 memory: 1428 2022/07/23 13:43:47 - mmengine - INFO - Epoch(val) [88][310/310] acc/top1: 0.6670 acc/top5: 0.8662 acc/mean1: 0.6669 2022/07/23 13:43:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_86.pth is removed 2022/07/23 13:43:51 - mmengine - INFO - The best checkpoint with 0.6670 acc/top1 at 89 epoch is saved to best_acc/top1_epoch_89.pth. 2022/07/23 13:43:56 - mmengine - INFO - Epoch(train) [89][20/3757] lr: 1.0000e-04 eta: 2:58:59 time: 0.2652 data_time: 0.0681 memory: 6108 grad_norm: 9.1359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/07/23 13:44:01 - mmengine - INFO - Epoch(train) [89][40/3757] lr: 1.0000e-04 eta: 2:58:55 time: 0.2297 data_time: 0.0201 memory: 6108 grad_norm: 9.3686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2667 loss: 1.2667 2022/07/23 13:44:05 - mmengine - INFO - Epoch(train) [89][60/3757] lr: 1.0000e-04 eta: 2:58:50 time: 0.2362 data_time: 0.0241 memory: 6108 grad_norm: 9.2178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/07/23 13:44:10 - mmengine - INFO - Epoch(train) [89][80/3757] lr: 1.0000e-04 eta: 2:58:45 time: 0.2346 data_time: 0.0190 memory: 6108 grad_norm: 8.9185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9143 loss: 0.9143 2022/07/23 13:44:15 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 1.0000e-04 eta: 2:58:40 time: 0.2297 data_time: 0.0267 memory: 6108 grad_norm: 9.5250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1586 loss: 1.1586 2022/07/23 13:44:19 - mmengine - INFO - Epoch(train) [89][120/3757] lr: 1.0000e-04 eta: 2:58:35 time: 0.2316 data_time: 0.0229 memory: 6108 grad_norm: 9.3788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/07/23 13:44:24 - mmengine - INFO - Epoch(train) [89][140/3757] lr: 1.0000e-04 eta: 2:58:31 time: 0.2277 data_time: 0.0247 memory: 6108 grad_norm: 9.2012 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0867 loss: 1.0867 2022/07/23 13:44:28 - mmengine - INFO - Epoch(train) [89][160/3757] lr: 1.0000e-04 eta: 2:58:26 time: 0.2284 data_time: 0.0241 memory: 6108 grad_norm: 9.0386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1293 loss: 1.1293 2022/07/23 13:44:33 - mmengine - INFO - Epoch(train) [89][180/3757] lr: 1.0000e-04 eta: 2:58:21 time: 0.2353 data_time: 0.0242 memory: 6108 grad_norm: 9.2024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/07/23 13:44:38 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 1.0000e-04 eta: 2:58:16 time: 0.2299 data_time: 0.0208 memory: 6108 grad_norm: 9.0050 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1335 loss: 1.1335 2022/07/23 13:44:42 - mmengine - INFO - Epoch(train) [89][220/3757] lr: 1.0000e-04 eta: 2:58:11 time: 0.2300 data_time: 0.0252 memory: 6108 grad_norm: 9.1590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0912 loss: 1.0912 2022/07/23 13:44:47 - mmengine - INFO - Epoch(train) [89][240/3757] lr: 1.0000e-04 eta: 2:58:07 time: 0.2412 data_time: 0.0286 memory: 6108 grad_norm: 8.8514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/23 13:44:52 - mmengine - INFO - Epoch(train) [89][260/3757] lr: 1.0000e-04 eta: 2:58:02 time: 0.2472 data_time: 0.0424 memory: 6108 grad_norm: 9.2987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2582 loss: 1.2582 2022/07/23 13:44:57 - mmengine - INFO - Epoch(train) [89][280/3757] lr: 1.0000e-04 eta: 2:57:57 time: 0.2296 data_time: 0.0268 memory: 6108 grad_norm: 8.9014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/07/23 13:45:01 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 1.0000e-04 eta: 2:57:52 time: 0.2264 data_time: 0.0214 memory: 6108 grad_norm: 9.6213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2229 loss: 1.2229 2022/07/23 13:45:06 - mmengine - INFO - Epoch(train) [89][320/3757] lr: 1.0000e-04 eta: 2:57:48 time: 0.2421 data_time: 0.0255 memory: 6108 grad_norm: 9.0080 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/07/23 13:45:11 - mmengine - INFO - Epoch(train) [89][340/3757] lr: 1.0000e-04 eta: 2:57:43 time: 0.2327 data_time: 0.0228 memory: 6108 grad_norm: 9.0539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2275 loss: 1.2275 2022/07/23 13:45:16 - mmengine - INFO - Epoch(train) [89][360/3757] lr: 1.0000e-04 eta: 2:57:38 time: 0.2361 data_time: 0.0261 memory: 6108 grad_norm: 9.0764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9162 loss: 0.9162 2022/07/23 13:45:21 - mmengine - INFO - Epoch(train) [89][380/3757] lr: 1.0000e-04 eta: 2:57:33 time: 0.2351 data_time: 0.0214 memory: 6108 grad_norm: 9.1649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/07/23 13:45:21 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:45:25 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 1.0000e-04 eta: 2:57:29 time: 0.2403 data_time: 0.0216 memory: 6108 grad_norm: 8.6646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9174 loss: 0.9174 2022/07/23 13:45:30 - mmengine - INFO - Epoch(train) [89][420/3757] lr: 1.0000e-04 eta: 2:57:24 time: 0.2330 data_time: 0.0227 memory: 6108 grad_norm: 9.3663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2602 loss: 1.2602 2022/07/23 13:45:35 - mmengine - INFO - Epoch(train) [89][440/3757] lr: 1.0000e-04 eta: 2:57:19 time: 0.2294 data_time: 0.0232 memory: 6108 grad_norm: 9.4949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/07/23 13:45:39 - mmengine - INFO - Epoch(train) [89][460/3757] lr: 1.0000e-04 eta: 2:57:14 time: 0.2311 data_time: 0.0203 memory: 6108 grad_norm: 9.3804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/07/23 13:45:44 - mmengine - INFO - Epoch(train) [89][480/3757] lr: 1.0000e-04 eta: 2:57:09 time: 0.2338 data_time: 0.0300 memory: 6108 grad_norm: 9.1197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/07/23 13:45:49 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 1.0000e-04 eta: 2:57:05 time: 0.2319 data_time: 0.0187 memory: 6108 grad_norm: 9.3204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/07/23 13:45:53 - mmengine - INFO - Epoch(train) [89][520/3757] lr: 1.0000e-04 eta: 2:57:00 time: 0.2287 data_time: 0.0318 memory: 6108 grad_norm: 8.9270 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8410 loss: 0.8410 2022/07/23 13:45:58 - mmengine - INFO - Epoch(train) [89][540/3757] lr: 1.0000e-04 eta: 2:56:55 time: 0.2310 data_time: 0.0263 memory: 6108 grad_norm: 9.2303 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0404 loss: 1.0404 2022/07/23 13:46:03 - mmengine - INFO - Epoch(train) [89][560/3757] lr: 1.0000e-04 eta: 2:56:50 time: 0.2306 data_time: 0.0243 memory: 6108 grad_norm: 9.4281 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/07/23 13:46:07 - mmengine - INFO - Epoch(train) [89][580/3757] lr: 1.0000e-04 eta: 2:56:45 time: 0.2376 data_time: 0.0253 memory: 6108 grad_norm: 8.5665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1716 loss: 1.1716 2022/07/23 13:46:12 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 1.0000e-04 eta: 2:56:41 time: 0.2353 data_time: 0.0273 memory: 6108 grad_norm: 9.2604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5381 loss: 1.5381 2022/07/23 13:46:17 - mmengine - INFO - Epoch(train) [89][620/3757] lr: 1.0000e-04 eta: 2:56:36 time: 0.2328 data_time: 0.0263 memory: 6108 grad_norm: 9.1466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/07/23 13:46:22 - mmengine - INFO - Epoch(train) [89][640/3757] lr: 1.0000e-04 eta: 2:56:31 time: 0.2453 data_time: 0.0236 memory: 6108 grad_norm: 9.2905 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1716 loss: 1.1716 2022/07/23 13:46:26 - mmengine - INFO - Epoch(train) [89][660/3757] lr: 1.0000e-04 eta: 2:56:26 time: 0.2338 data_time: 0.0203 memory: 6108 grad_norm: 9.2075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1973 loss: 1.1973 2022/07/23 13:46:31 - mmengine - INFO - Epoch(train) [89][680/3757] lr: 1.0000e-04 eta: 2:56:22 time: 0.2319 data_time: 0.0219 memory: 6108 grad_norm: 9.4173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/07/23 13:46:36 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 1.0000e-04 eta: 2:56:17 time: 0.2551 data_time: 0.0207 memory: 6108 grad_norm: 8.9074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2208 loss: 1.2208 2022/07/23 13:46:41 - mmengine - INFO - Epoch(train) [89][720/3757] lr: 1.0000e-04 eta: 2:56:12 time: 0.2328 data_time: 0.0198 memory: 6108 grad_norm: 8.7082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/07/23 13:46:46 - mmengine - INFO - Epoch(train) [89][740/3757] lr: 1.0000e-04 eta: 2:56:07 time: 0.2341 data_time: 0.0218 memory: 6108 grad_norm: 9.2462 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1976 loss: 1.1976 2022/07/23 13:46:50 - mmengine - INFO - Epoch(train) [89][760/3757] lr: 1.0000e-04 eta: 2:56:03 time: 0.2344 data_time: 0.0221 memory: 6108 grad_norm: 8.8807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/07/23 13:46:55 - mmengine - INFO - Epoch(train) [89][780/3757] lr: 1.0000e-04 eta: 2:55:58 time: 0.2331 data_time: 0.0240 memory: 6108 grad_norm: 9.1424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/07/23 13:47:00 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 1.0000e-04 eta: 2:55:53 time: 0.2294 data_time: 0.0209 memory: 6108 grad_norm: 8.8581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/07/23 13:47:04 - mmengine - INFO - Epoch(train) [89][820/3757] lr: 1.0000e-04 eta: 2:55:48 time: 0.2316 data_time: 0.0223 memory: 6108 grad_norm: 9.5735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0836 loss: 1.0836 2022/07/23 13:47:09 - mmengine - INFO - Epoch(train) [89][840/3757] lr: 1.0000e-04 eta: 2:55:43 time: 0.2305 data_time: 0.0230 memory: 6108 grad_norm: 9.1733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/07/23 13:47:14 - mmengine - INFO - Epoch(train) [89][860/3757] lr: 1.0000e-04 eta: 2:55:39 time: 0.2283 data_time: 0.0230 memory: 6108 grad_norm: 8.8532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1655 loss: 1.1655 2022/07/23 13:47:18 - mmengine - INFO - Epoch(train) [89][880/3757] lr: 1.0000e-04 eta: 2:55:34 time: 0.2284 data_time: 0.0226 memory: 6108 grad_norm: 9.1464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8582 loss: 0.8582 2022/07/23 13:47:23 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 1.0000e-04 eta: 2:55:29 time: 0.2292 data_time: 0.0239 memory: 6108 grad_norm: 9.2143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1471 loss: 1.1471 2022/07/23 13:47:27 - mmengine - INFO - Epoch(train) [89][920/3757] lr: 1.0000e-04 eta: 2:55:24 time: 0.2350 data_time: 0.0221 memory: 6108 grad_norm: 8.8470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/07/23 13:47:32 - mmengine - INFO - Epoch(train) [89][940/3757] lr: 1.0000e-04 eta: 2:55:19 time: 0.2272 data_time: 0.0252 memory: 6108 grad_norm: 9.2809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/07/23 13:47:37 - mmengine - INFO - Epoch(train) [89][960/3757] lr: 1.0000e-04 eta: 2:55:15 time: 0.2442 data_time: 0.0205 memory: 6108 grad_norm: 9.1259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/23 13:47:42 - mmengine - INFO - Epoch(train) [89][980/3757] lr: 1.0000e-04 eta: 2:55:10 time: 0.2281 data_time: 0.0216 memory: 6108 grad_norm: 9.5834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3385 loss: 1.3385 2022/07/23 13:47:46 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 1.0000e-04 eta: 2:55:05 time: 0.2359 data_time: 0.0224 memory: 6108 grad_norm: 9.5055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/07/23 13:47:51 - mmengine - INFO - Epoch(train) [89][1020/3757] lr: 1.0000e-04 eta: 2:55:00 time: 0.2264 data_time: 0.0211 memory: 6108 grad_norm: 9.0740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1494 loss: 1.1494 2022/07/23 13:47:56 - mmengine - INFO - Epoch(train) [89][1040/3757] lr: 1.0000e-04 eta: 2:54:56 time: 0.2358 data_time: 0.0203 memory: 6108 grad_norm: 8.7014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/07/23 13:48:00 - mmengine - INFO - Epoch(train) [89][1060/3757] lr: 1.0000e-04 eta: 2:54:51 time: 0.2321 data_time: 0.0253 memory: 6108 grad_norm: 9.0535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/07/23 13:48:05 - mmengine - INFO - Epoch(train) [89][1080/3757] lr: 1.0000e-04 eta: 2:54:46 time: 0.2367 data_time: 0.0231 memory: 6108 grad_norm: 9.3588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/07/23 13:48:10 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 1.0000e-04 eta: 2:54:41 time: 0.2319 data_time: 0.0197 memory: 6108 grad_norm: 9.4690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/07/23 13:48:14 - mmengine - INFO - Epoch(train) [89][1120/3757] lr: 1.0000e-04 eta: 2:54:36 time: 0.2318 data_time: 0.0273 memory: 6108 grad_norm: 9.1247 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/07/23 13:48:19 - mmengine - INFO - Epoch(train) [89][1140/3757] lr: 1.0000e-04 eta: 2:54:32 time: 0.2371 data_time: 0.0236 memory: 6108 grad_norm: 9.4727 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1429 loss: 1.1429 2022/07/23 13:48:24 - mmengine - INFO - Epoch(train) [89][1160/3757] lr: 1.0000e-04 eta: 2:54:27 time: 0.2301 data_time: 0.0281 memory: 6108 grad_norm: 9.1511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0350 loss: 1.0350 2022/07/23 13:48:28 - mmengine - INFO - Epoch(train) [89][1180/3757] lr: 1.0000e-04 eta: 2:54:22 time: 0.2305 data_time: 0.0241 memory: 6108 grad_norm: 9.3668 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/07/23 13:48:33 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 1.0000e-04 eta: 2:54:17 time: 0.2329 data_time: 0.0218 memory: 6108 grad_norm: 9.0898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9568 loss: 0.9568 2022/07/23 13:48:38 - mmengine - INFO - Epoch(train) [89][1220/3757] lr: 1.0000e-04 eta: 2:54:13 time: 0.2538 data_time: 0.0185 memory: 6108 grad_norm: 9.1839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2804 loss: 1.2804 2022/07/23 13:48:43 - mmengine - INFO - Epoch(train) [89][1240/3757] lr: 1.0000e-04 eta: 2:54:08 time: 0.2293 data_time: 0.0262 memory: 6108 grad_norm: 9.6754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0694 loss: 1.0694 2022/07/23 13:48:48 - mmengine - INFO - Epoch(train) [89][1260/3757] lr: 1.0000e-04 eta: 2:54:03 time: 0.2326 data_time: 0.0245 memory: 6108 grad_norm: 9.3107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/07/23 13:48:52 - mmengine - INFO - Epoch(train) [89][1280/3757] lr: 1.0000e-04 eta: 2:53:58 time: 0.2309 data_time: 0.0225 memory: 6108 grad_norm: 8.9408 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/07/23 13:48:57 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 1.0000e-04 eta: 2:53:53 time: 0.2395 data_time: 0.0219 memory: 6108 grad_norm: 8.7194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0788 loss: 1.0788 2022/07/23 13:49:02 - mmengine - INFO - Epoch(train) [89][1320/3757] lr: 1.0000e-04 eta: 2:53:49 time: 0.2313 data_time: 0.0241 memory: 6108 grad_norm: 9.1970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/07/23 13:49:06 - mmengine - INFO - Epoch(train) [89][1340/3757] lr: 1.0000e-04 eta: 2:53:44 time: 0.2348 data_time: 0.0237 memory: 6108 grad_norm: 9.6980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/07/23 13:49:11 - mmengine - INFO - Epoch(train) [89][1360/3757] lr: 1.0000e-04 eta: 2:53:39 time: 0.2323 data_time: 0.0203 memory: 6108 grad_norm: 8.7158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2286 loss: 1.2286 2022/07/23 13:49:16 - mmengine - INFO - Epoch(train) [89][1380/3757] lr: 1.0000e-04 eta: 2:53:34 time: 0.2332 data_time: 0.0220 memory: 6108 grad_norm: 8.6181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/07/23 13:49:17 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:49:21 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 1.0000e-04 eta: 2:53:30 time: 0.2421 data_time: 0.0245 memory: 6108 grad_norm: 8.9888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/07/23 13:49:25 - mmengine - INFO - Epoch(train) [89][1420/3757] lr: 1.0000e-04 eta: 2:53:25 time: 0.2337 data_time: 0.0237 memory: 6108 grad_norm: 9.4777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1457 loss: 1.1457 2022/07/23 13:49:30 - mmengine - INFO - Epoch(train) [89][1440/3757] lr: 1.0000e-04 eta: 2:53:20 time: 0.2321 data_time: 0.0229 memory: 6108 grad_norm: 8.7894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1506 loss: 1.1506 2022/07/23 13:49:35 - mmengine - INFO - Epoch(train) [89][1460/3757] lr: 1.0000e-04 eta: 2:53:15 time: 0.2386 data_time: 0.0215 memory: 6108 grad_norm: 9.0509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/07/23 13:49:40 - mmengine - INFO - Epoch(train) [89][1480/3757] lr: 1.0000e-04 eta: 2:53:11 time: 0.2457 data_time: 0.0211 memory: 6108 grad_norm: 9.7723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/07/23 13:49:44 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 1.0000e-04 eta: 2:53:06 time: 0.2364 data_time: 0.0228 memory: 6108 grad_norm: 9.0595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2055 loss: 1.2055 2022/07/23 13:49:49 - mmengine - INFO - Epoch(train) [89][1520/3757] lr: 1.0000e-04 eta: 2:53:01 time: 0.2284 data_time: 0.0219 memory: 6108 grad_norm: 8.7678 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8539 loss: 0.8539 2022/07/23 13:49:54 - mmengine - INFO - Epoch(train) [89][1540/3757] lr: 1.0000e-04 eta: 2:52:56 time: 0.2300 data_time: 0.0205 memory: 6108 grad_norm: 9.0855 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1278 loss: 1.1278 2022/07/23 13:49:58 - mmengine - INFO - Epoch(train) [89][1560/3757] lr: 1.0000e-04 eta: 2:52:51 time: 0.2366 data_time: 0.0289 memory: 6108 grad_norm: 9.5347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1827 loss: 1.1827 2022/07/23 13:50:03 - mmengine - INFO - Epoch(train) [89][1580/3757] lr: 1.0000e-04 eta: 2:52:47 time: 0.2269 data_time: 0.0206 memory: 6108 grad_norm: 8.8498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/07/23 13:50:08 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 1.0000e-04 eta: 2:52:42 time: 0.2312 data_time: 0.0229 memory: 6108 grad_norm: 8.8799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9592 loss: 0.9592 2022/07/23 13:50:12 - mmengine - INFO - Epoch(train) [89][1620/3757] lr: 1.0000e-04 eta: 2:52:37 time: 0.2335 data_time: 0.0210 memory: 6108 grad_norm: 9.2730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9869 loss: 0.9869 2022/07/23 13:50:17 - mmengine - INFO - Epoch(train) [89][1640/3757] lr: 1.0000e-04 eta: 2:52:32 time: 0.2407 data_time: 0.0304 memory: 6108 grad_norm: 9.1267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2224 loss: 1.2224 2022/07/23 13:50:22 - mmengine - INFO - Epoch(train) [89][1660/3757] lr: 1.0000e-04 eta: 2:52:27 time: 0.2317 data_time: 0.0208 memory: 6108 grad_norm: 9.3063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2942 loss: 1.2942 2022/07/23 13:50:27 - mmengine - INFO - Epoch(train) [89][1680/3757] lr: 1.0000e-04 eta: 2:52:23 time: 0.2376 data_time: 0.0230 memory: 6108 grad_norm: 9.0452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8807 loss: 0.8807 2022/07/23 13:50:31 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 1.0000e-04 eta: 2:52:18 time: 0.2231 data_time: 0.0197 memory: 6108 grad_norm: 9.2861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1947 loss: 1.1947 2022/07/23 13:50:36 - mmengine - INFO - Epoch(train) [89][1720/3757] lr: 1.0000e-04 eta: 2:52:13 time: 0.2327 data_time: 0.0208 memory: 6108 grad_norm: 9.2237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4612 loss: 1.4612 2022/07/23 13:50:41 - mmengine - INFO - Epoch(train) [89][1740/3757] lr: 1.0000e-04 eta: 2:52:08 time: 0.2355 data_time: 0.0311 memory: 6108 grad_norm: 9.3909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1501 loss: 1.1501 2022/07/23 13:50:45 - mmengine - INFO - Epoch(train) [89][1760/3757] lr: 1.0000e-04 eta: 2:52:04 time: 0.2341 data_time: 0.0172 memory: 6108 grad_norm: 9.1918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0496 loss: 1.0496 2022/07/23 13:50:50 - mmengine - INFO - Epoch(train) [89][1780/3757] lr: 1.0000e-04 eta: 2:51:59 time: 0.2301 data_time: 0.0277 memory: 6108 grad_norm: 8.8103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1653 loss: 1.1653 2022/07/23 13:50:55 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 1.0000e-04 eta: 2:51:54 time: 0.2323 data_time: 0.0309 memory: 6108 grad_norm: 9.3940 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3392 loss: 1.3392 2022/07/23 13:50:59 - mmengine - INFO - Epoch(train) [89][1820/3757] lr: 1.0000e-04 eta: 2:51:49 time: 0.2291 data_time: 0.0251 memory: 6108 grad_norm: 9.3111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1051 loss: 1.1051 2022/07/23 13:51:04 - mmengine - INFO - Epoch(train) [89][1840/3757] lr: 1.0000e-04 eta: 2:51:44 time: 0.2297 data_time: 0.0229 memory: 6108 grad_norm: 9.1105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3798 loss: 1.3798 2022/07/23 13:51:09 - mmengine - INFO - Epoch(train) [89][1860/3757] lr: 1.0000e-04 eta: 2:51:40 time: 0.2377 data_time: 0.0290 memory: 6108 grad_norm: 9.4484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4891 loss: 1.4891 2022/07/23 13:51:13 - mmengine - INFO - Epoch(train) [89][1880/3757] lr: 1.0000e-04 eta: 2:51:35 time: 0.2262 data_time: 0.0186 memory: 6108 grad_norm: 8.9770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1199 loss: 1.1199 2022/07/23 13:51:18 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 1.0000e-04 eta: 2:51:30 time: 0.2368 data_time: 0.0201 memory: 6108 grad_norm: 9.0203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9948 loss: 0.9948 2022/07/23 13:51:23 - mmengine - INFO - Epoch(train) [89][1920/3757] lr: 1.0000e-04 eta: 2:51:25 time: 0.2313 data_time: 0.0225 memory: 6108 grad_norm: 9.2166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1764 loss: 1.1764 2022/07/23 13:51:27 - mmengine - INFO - Epoch(train) [89][1940/3757] lr: 1.0000e-04 eta: 2:51:21 time: 0.2334 data_time: 0.0244 memory: 6108 grad_norm: 9.1852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1816 loss: 1.1816 2022/07/23 13:51:32 - mmengine - INFO - Epoch(train) [89][1960/3757] lr: 1.0000e-04 eta: 2:51:16 time: 0.2307 data_time: 0.0207 memory: 6108 grad_norm: 9.5334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/07/23 13:51:37 - mmengine - INFO - Epoch(train) [89][1980/3757] lr: 1.0000e-04 eta: 2:51:11 time: 0.2334 data_time: 0.0272 memory: 6108 grad_norm: 8.9780 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3381 loss: 1.3381 2022/07/23 13:51:41 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 1.0000e-04 eta: 2:51:06 time: 0.2313 data_time: 0.0202 memory: 6108 grad_norm: 9.1185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1702 loss: 1.1702 2022/07/23 13:51:46 - mmengine - INFO - Epoch(train) [89][2020/3757] lr: 1.0000e-04 eta: 2:51:01 time: 0.2352 data_time: 0.0233 memory: 6108 grad_norm: 8.9141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/07/23 13:51:51 - mmengine - INFO - Epoch(train) [89][2040/3757] lr: 1.0000e-04 eta: 2:50:57 time: 0.2322 data_time: 0.0268 memory: 6108 grad_norm: 9.4561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0989 loss: 1.0989 2022/07/23 13:51:56 - mmengine - INFO - Epoch(train) [89][2060/3757] lr: 1.0000e-04 eta: 2:50:52 time: 0.2399 data_time: 0.0214 memory: 6108 grad_norm: 9.0056 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2882 loss: 1.2882 2022/07/23 13:52:00 - mmengine - INFO - Epoch(train) [89][2080/3757] lr: 1.0000e-04 eta: 2:50:47 time: 0.2332 data_time: 0.0296 memory: 6108 grad_norm: 9.2651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4402 loss: 1.4402 2022/07/23 13:52:05 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 1.0000e-04 eta: 2:50:42 time: 0.2387 data_time: 0.0228 memory: 6108 grad_norm: 9.1272 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3631 loss: 1.3631 2022/07/23 13:52:10 - mmengine - INFO - Epoch(train) [89][2120/3757] lr: 1.0000e-04 eta: 2:50:38 time: 0.2366 data_time: 0.0168 memory: 6108 grad_norm: 9.4048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/23 13:52:15 - mmengine - INFO - Epoch(train) [89][2140/3757] lr: 1.0000e-04 eta: 2:50:33 time: 0.2321 data_time: 0.0212 memory: 6108 grad_norm: 8.6870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0249 loss: 1.0249 2022/07/23 13:52:19 - mmengine - INFO - Epoch(train) [89][2160/3757] lr: 1.0000e-04 eta: 2:50:28 time: 0.2351 data_time: 0.0215 memory: 6108 grad_norm: 9.5386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0993 loss: 1.0993 2022/07/23 13:52:24 - mmengine - INFO - Epoch(train) [89][2180/3757] lr: 1.0000e-04 eta: 2:50:23 time: 0.2320 data_time: 0.0195 memory: 6108 grad_norm: 9.3020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/07/23 13:52:29 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 1.0000e-04 eta: 2:50:18 time: 0.2308 data_time: 0.0262 memory: 6108 grad_norm: 9.0799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/07/23 13:52:33 - mmengine - INFO - Epoch(train) [89][2220/3757] lr: 1.0000e-04 eta: 2:50:14 time: 0.2362 data_time: 0.0210 memory: 6108 grad_norm: 9.1588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3320 loss: 1.3320 2022/07/23 13:52:38 - mmengine - INFO - Epoch(train) [89][2240/3757] lr: 1.0000e-04 eta: 2:50:09 time: 0.2498 data_time: 0.0162 memory: 6108 grad_norm: 8.9616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2557 loss: 1.2557 2022/07/23 13:52:43 - mmengine - INFO - Epoch(train) [89][2260/3757] lr: 1.0000e-04 eta: 2:50:04 time: 0.2318 data_time: 0.0190 memory: 6108 grad_norm: 9.0812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1557 loss: 1.1557 2022/07/23 13:52:48 - mmengine - INFO - Epoch(train) [89][2280/3757] lr: 1.0000e-04 eta: 2:49:59 time: 0.2321 data_time: 0.0223 memory: 6108 grad_norm: 9.2094 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2021 loss: 1.2021 2022/07/23 13:52:53 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 1.0000e-04 eta: 2:49:55 time: 0.2414 data_time: 0.0192 memory: 6108 grad_norm: 9.0719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/07/23 13:52:57 - mmengine - INFO - Epoch(train) [89][2320/3757] lr: 1.0000e-04 eta: 2:49:50 time: 0.2391 data_time: 0.0215 memory: 6108 grad_norm: 9.1942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9952 loss: 0.9952 2022/07/23 13:53:02 - mmengine - INFO - Epoch(train) [89][2340/3757] lr: 1.0000e-04 eta: 2:49:45 time: 0.2321 data_time: 0.0226 memory: 6108 grad_norm: 8.8840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1058 loss: 1.1058 2022/07/23 13:53:07 - mmengine - INFO - Epoch(train) [89][2360/3757] lr: 1.0000e-04 eta: 2:49:40 time: 0.2361 data_time: 0.0239 memory: 6108 grad_norm: 9.2210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9948 loss: 0.9948 2022/07/23 13:53:11 - mmengine - INFO - Epoch(train) [89][2380/3757] lr: 1.0000e-04 eta: 2:49:36 time: 0.2318 data_time: 0.0240 memory: 6108 grad_norm: 8.9774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/07/23 13:53:12 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 13:53:16 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 1.0000e-04 eta: 2:49:31 time: 0.2331 data_time: 0.0249 memory: 6108 grad_norm: 9.0555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9327 loss: 0.9327 2022/07/23 13:53:21 - mmengine - INFO - Epoch(train) [89][2420/3757] lr: 1.0000e-04 eta: 2:49:26 time: 0.2381 data_time: 0.0230 memory: 6108 grad_norm: 8.6991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/07/23 13:53:26 - mmengine - INFO - Epoch(train) [89][2440/3757] lr: 1.0000e-04 eta: 2:49:21 time: 0.2488 data_time: 0.0168 memory: 6108 grad_norm: 8.5157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9078 loss: 0.9078 2022/07/23 13:53:31 - mmengine - INFO - Epoch(train) [89][2460/3757] lr: 1.0000e-04 eta: 2:49:16 time: 0.2319 data_time: 0.0251 memory: 6108 grad_norm: 9.2518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1509 loss: 1.1509 2022/07/23 13:53:35 - mmengine - INFO - Epoch(train) [89][2480/3757] lr: 1.0000e-04 eta: 2:49:12 time: 0.2290 data_time: 0.0216 memory: 6108 grad_norm: 9.0689 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3553 loss: 1.3553 2022/07/23 13:53:40 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 1.0000e-04 eta: 2:49:07 time: 0.2312 data_time: 0.0180 memory: 6108 grad_norm: 9.1195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0898 loss: 1.0898 2022/07/23 13:53:44 - mmengine - INFO - Epoch(train) [89][2520/3757] lr: 1.0000e-04 eta: 2:49:02 time: 0.2273 data_time: 0.0241 memory: 6108 grad_norm: 8.9212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/07/23 13:53:49 - mmengine - INFO - Epoch(train) [89][2540/3757] lr: 1.0000e-04 eta: 2:48:57 time: 0.2326 data_time: 0.0169 memory: 6108 grad_norm: 9.2210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2072 loss: 1.2072 2022/07/23 13:53:54 - mmengine - INFO - Epoch(train) [89][2560/3757] lr: 1.0000e-04 eta: 2:48:53 time: 0.2288 data_time: 0.0231 memory: 6108 grad_norm: 9.3722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/07/23 13:53:58 - mmengine - INFO - Epoch(train) [89][2580/3757] lr: 1.0000e-04 eta: 2:48:48 time: 0.2373 data_time: 0.0243 memory: 6108 grad_norm: 9.1953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8527 loss: 0.8527 2022/07/23 13:54:03 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 1.0000e-04 eta: 2:48:43 time: 0.2372 data_time: 0.0214 memory: 6108 grad_norm: 9.0296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1645 loss: 1.1645 2022/07/23 13:54:08 - mmengine - INFO - Epoch(train) [89][2620/3757] lr: 1.0000e-04 eta: 2:48:38 time: 0.2342 data_time: 0.0270 memory: 6108 grad_norm: 8.9011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2157 loss: 1.2157 2022/07/23 13:54:13 - mmengine - INFO - Epoch(train) [89][2640/3757] lr: 1.0000e-04 eta: 2:48:33 time: 0.2366 data_time: 0.0229 memory: 6108 grad_norm: 9.5745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9214 loss: 0.9214 2022/07/23 13:54:18 - mmengine - INFO - Epoch(train) [89][2660/3757] lr: 1.0000e-04 eta: 2:48:29 time: 0.2380 data_time: 0.0229 memory: 6108 grad_norm: 8.9788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2097 loss: 1.2097 2022/07/23 13:54:22 - mmengine - INFO - Epoch(train) [89][2680/3757] lr: 1.0000e-04 eta: 2:48:24 time: 0.2346 data_time: 0.0271 memory: 6108 grad_norm: 9.3334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2404 loss: 1.2404 2022/07/23 13:54:27 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 1.0000e-04 eta: 2:48:19 time: 0.2339 data_time: 0.0215 memory: 6108 grad_norm: 9.0519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1200 loss: 1.1200 2022/07/23 13:54:32 - mmengine - INFO - Epoch(train) [89][2720/3757] lr: 1.0000e-04 eta: 2:48:14 time: 0.2284 data_time: 0.0196 memory: 6108 grad_norm: 9.1675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/07/23 13:54:36 - mmengine - INFO - Epoch(train) [89][2740/3757] lr: 1.0000e-04 eta: 2:48:10 time: 0.2312 data_time: 0.0191 memory: 6108 grad_norm: 9.0392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3316 loss: 1.3316 2022/07/23 13:54:41 - mmengine - INFO - Epoch(train) [89][2760/3757] lr: 1.0000e-04 eta: 2:48:05 time: 0.2316 data_time: 0.0253 memory: 6108 grad_norm: 9.0051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0261 loss: 1.0261 2022/07/23 13:54:46 - mmengine - INFO - Epoch(train) [89][2780/3757] lr: 1.0000e-04 eta: 2:48:00 time: 0.2453 data_time: 0.0301 memory: 6108 grad_norm: 9.1744 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/07/23 13:54:51 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 1.0000e-04 eta: 2:47:55 time: 0.2345 data_time: 0.0216 memory: 6108 grad_norm: 8.8425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/07/23 13:54:56 - mmengine - INFO - Epoch(train) [89][2820/3757] lr: 1.0000e-04 eta: 2:47:50 time: 0.2530 data_time: 0.0215 memory: 6108 grad_norm: 9.0746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1838 loss: 1.1838 2022/07/23 13:55:00 - mmengine - INFO - Epoch(train) [89][2840/3757] lr: 1.0000e-04 eta: 2:47:46 time: 0.2311 data_time: 0.0265 memory: 6108 grad_norm: 9.1465 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/07/23 13:55:05 - mmengine - INFO - Epoch(train) [89][2860/3757] lr: 1.0000e-04 eta: 2:47:41 time: 0.2297 data_time: 0.0209 memory: 6108 grad_norm: 9.2511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0880 loss: 1.0880 2022/07/23 13:55:10 - mmengine - INFO - Epoch(train) [89][2880/3757] lr: 1.0000e-04 eta: 2:47:36 time: 0.2408 data_time: 0.0251 memory: 6108 grad_norm: 9.0536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/07/23 13:55:14 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 1.0000e-04 eta: 2:47:31 time: 0.2295 data_time: 0.0196 memory: 6108 grad_norm: 8.7859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2427 loss: 1.2427 2022/07/23 13:55:19 - mmengine - INFO - Epoch(train) [89][2920/3757] lr: 1.0000e-04 eta: 2:47:27 time: 0.2340 data_time: 0.0218 memory: 6108 grad_norm: 9.0102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4061 loss: 1.4061 2022/07/23 13:55:24 - mmengine - INFO - Epoch(train) [89][2940/3757] lr: 1.0000e-04 eta: 2:47:22 time: 0.2333 data_time: 0.0269 memory: 6108 grad_norm: 9.4396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3256 loss: 1.3256 2022/07/23 13:55:29 - mmengine - INFO - Epoch(train) [89][2960/3757] lr: 1.0000e-04 eta: 2:47:17 time: 0.2525 data_time: 0.0199 memory: 6108 grad_norm: 9.1611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/07/23 13:55:33 - mmengine - INFO - Epoch(train) [89][2980/3757] lr: 1.0000e-04 eta: 2:47:12 time: 0.2248 data_time: 0.0223 memory: 6108 grad_norm: 9.1792 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2189 loss: 1.2189 2022/07/23 13:55:39 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 1.0000e-04 eta: 2:47:08 time: 0.2560 data_time: 0.0319 memory: 6108 grad_norm: 8.9634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9258 loss: 0.9258 2022/07/23 13:55:43 - mmengine - INFO - Epoch(train) [89][3020/3757] lr: 1.0000e-04 eta: 2:47:03 time: 0.2266 data_time: 0.0233 memory: 6108 grad_norm: 9.1934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0618 loss: 1.0618 2022/07/23 13:55:48 - mmengine - INFO - Epoch(train) [89][3040/3757] lr: 1.0000e-04 eta: 2:46:58 time: 0.2341 data_time: 0.0239 memory: 6108 grad_norm: 9.0339 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1633 loss: 1.1633 2022/07/23 13:55:53 - mmengine - INFO - Epoch(train) [89][3060/3757] lr: 1.0000e-04 eta: 2:46:53 time: 0.2433 data_time: 0.0309 memory: 6108 grad_norm: 9.0156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0385 loss: 1.0385 2022/07/23 13:55:58 - mmengine - INFO - Epoch(train) [89][3080/3757] lr: 1.0000e-04 eta: 2:46:48 time: 0.2401 data_time: 0.0180 memory: 6108 grad_norm: 9.1876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/07/23 13:56:02 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 1.0000e-04 eta: 2:46:44 time: 0.2417 data_time: 0.0244 memory: 6108 grad_norm: 9.2600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2916 loss: 1.2916 2022/07/23 13:56:07 - mmengine - INFO - Epoch(train) [89][3120/3757] lr: 1.0000e-04 eta: 2:46:39 time: 0.2386 data_time: 0.0269 memory: 6108 grad_norm: 9.1868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/23 13:56:12 - mmengine - INFO - Epoch(train) [89][3140/3757] lr: 1.0000e-04 eta: 2:46:34 time: 0.2306 data_time: 0.0181 memory: 6108 grad_norm: 8.9830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1901 loss: 1.1901 2022/07/23 13:56:16 - mmengine - INFO - Epoch(train) [89][3160/3757] lr: 1.0000e-04 eta: 2:46:29 time: 0.2310 data_time: 0.0292 memory: 6108 grad_norm: 9.3306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1192 loss: 1.1192 2022/07/23 13:56:21 - mmengine - INFO - Epoch(train) [89][3180/3757] lr: 1.0000e-04 eta: 2:46:25 time: 0.2367 data_time: 0.0253 memory: 6108 grad_norm: 8.8951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1670 loss: 1.1670 2022/07/23 13:56:26 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 1.0000e-04 eta: 2:46:20 time: 0.2386 data_time: 0.0275 memory: 6108 grad_norm: 9.2932 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3340 loss: 1.3340 2022/07/23 13:56:31 - mmengine - INFO - Epoch(train) [89][3220/3757] lr: 1.0000e-04 eta: 2:46:15 time: 0.2305 data_time: 0.0246 memory: 6108 grad_norm: 9.0164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2180 loss: 1.2180 2022/07/23 13:56:35 - mmengine - INFO - Epoch(train) [89][3240/3757] lr: 1.0000e-04 eta: 2:46:10 time: 0.2309 data_time: 0.0278 memory: 6108 grad_norm: 9.0116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/07/23 13:56:40 - mmengine - INFO - Epoch(train) [89][3260/3757] lr: 1.0000e-04 eta: 2:46:06 time: 0.2359 data_time: 0.0284 memory: 6108 grad_norm: 9.4133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/07/23 13:56:45 - mmengine - INFO - Epoch(train) [89][3280/3757] lr: 1.0000e-04 eta: 2:46:01 time: 0.2319 data_time: 0.0227 memory: 6108 grad_norm: 9.2836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/07/23 13:56:49 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 1.0000e-04 eta: 2:45:56 time: 0.2354 data_time: 0.0223 memory: 6108 grad_norm: 9.2623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/07/23 13:56:54 - mmengine - INFO - Epoch(train) [89][3320/3757] lr: 1.0000e-04 eta: 2:45:51 time: 0.2292 data_time: 0.0206 memory: 6108 grad_norm: 9.4480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/07/23 13:56:59 - mmengine - INFO - Epoch(train) [89][3340/3757] lr: 1.0000e-04 eta: 2:45:46 time: 0.2296 data_time: 0.0183 memory: 6108 grad_norm: 9.0729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9959 loss: 0.9959 2022/07/23 13:57:03 - mmengine - INFO - Epoch(train) [89][3360/3757] lr: 1.0000e-04 eta: 2:45:42 time: 0.2340 data_time: 0.0254 memory: 6108 grad_norm: 9.0489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9410 loss: 0.9410 2022/07/23 13:57:08 - mmengine - INFO - Epoch(train) [89][3380/3757] lr: 1.0000e-04 eta: 2:45:37 time: 0.2309 data_time: 0.0175 memory: 6108 grad_norm: 9.3647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2867 loss: 1.2867 2022/07/23 14:00:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:00:48 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 1.0000e-04 eta: 2:45:59 time: 11.0052 data_time: 10.0155 memory: 6108 grad_norm: 9.4106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/07/23 14:00:53 - mmengine - INFO - Epoch(train) [89][3420/3757] lr: 1.0000e-04 eta: 2:45:54 time: 0.2259 data_time: 0.0227 memory: 6108 grad_norm: 9.4309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/07/23 14:00:58 - mmengine - INFO - Epoch(train) [89][3440/3757] lr: 1.0000e-04 eta: 2:45:49 time: 0.2363 data_time: 0.0225 memory: 6108 grad_norm: 9.2057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1853 loss: 1.1853 2022/07/23 14:01:02 - mmengine - INFO - Epoch(train) [89][3460/3757] lr: 1.0000e-04 eta: 2:45:45 time: 0.2282 data_time: 0.0214 memory: 6108 grad_norm: 8.8696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8458 loss: 0.8458 2022/07/23 14:01:07 - mmengine - INFO - Epoch(train) [89][3480/3757] lr: 1.0000e-04 eta: 2:45:40 time: 0.2295 data_time: 0.0223 memory: 6108 grad_norm: 9.1783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/07/23 14:01:11 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 1.0000e-04 eta: 2:45:35 time: 0.2318 data_time: 0.0206 memory: 6108 grad_norm: 8.9903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/07/23 14:01:16 - mmengine - INFO - Epoch(train) [89][3520/3757] lr: 1.0000e-04 eta: 2:45:30 time: 0.2355 data_time: 0.0242 memory: 6108 grad_norm: 8.7654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/07/23 14:01:21 - mmengine - INFO - Epoch(train) [89][3540/3757] lr: 1.0000e-04 eta: 2:45:25 time: 0.2317 data_time: 0.0238 memory: 6108 grad_norm: 9.4203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1427 loss: 1.1427 2022/07/23 14:01:25 - mmengine - INFO - Epoch(train) [89][3560/3757] lr: 1.0000e-04 eta: 2:45:21 time: 0.2255 data_time: 0.0236 memory: 6108 grad_norm: 8.9687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2171 loss: 1.2171 2022/07/23 14:01:30 - mmengine - INFO - Epoch(train) [89][3580/3757] lr: 1.0000e-04 eta: 2:45:16 time: 0.2328 data_time: 0.0237 memory: 6108 grad_norm: 9.3856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/07/23 14:01:35 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 1.0000e-04 eta: 2:45:11 time: 0.2280 data_time: 0.0236 memory: 6108 grad_norm: 9.2996 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1429 loss: 1.1429 2022/07/23 14:01:39 - mmengine - INFO - Epoch(train) [89][3620/3757] lr: 1.0000e-04 eta: 2:45:06 time: 0.2412 data_time: 0.0251 memory: 6108 grad_norm: 9.4155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/07/23 14:01:44 - mmengine - INFO - Epoch(train) [89][3640/3757] lr: 1.0000e-04 eta: 2:45:01 time: 0.2310 data_time: 0.0191 memory: 6108 grad_norm: 9.0623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1967 loss: 1.1967 2022/07/23 14:01:49 - mmengine - INFO - Epoch(train) [89][3660/3757] lr: 1.0000e-04 eta: 2:44:57 time: 0.2319 data_time: 0.0238 memory: 6108 grad_norm: 9.1683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/07/23 14:01:54 - mmengine - INFO - Epoch(train) [89][3680/3757] lr: 1.0000e-04 eta: 2:44:52 time: 0.2351 data_time: 0.0203 memory: 6108 grad_norm: 8.9124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9692 loss: 0.9692 2022/07/23 14:01:58 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 1.0000e-04 eta: 2:44:47 time: 0.2405 data_time: 0.0179 memory: 6108 grad_norm: 8.7798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0154 loss: 1.0154 2022/07/23 14:02:03 - mmengine - INFO - Epoch(train) [89][3720/3757] lr: 1.0000e-04 eta: 2:44:42 time: 0.2266 data_time: 0.0236 memory: 6108 grad_norm: 9.5131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2145 loss: 1.2145 2022/07/23 14:02:08 - mmengine - INFO - Epoch(train) [89][3740/3757] lr: 1.0000e-04 eta: 2:44:37 time: 0.2531 data_time: 0.0214 memory: 6108 grad_norm: 9.3042 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2612 loss: 1.2612 2022/07/23 14:02:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:02:11 - mmengine - INFO - Epoch(train) [89][3757/3757] lr: 1.0000e-04 eta: 2:44:37 time: 0.1925 data_time: 0.0161 memory: 6108 grad_norm: 9.1466 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1793 loss: 1.1793 2022/07/23 14:02:17 - mmengine - INFO - Epoch(val) [89][20/310] eta: 0:01:23 time: 0.2884 data_time: 0.2083 memory: 1428 2022/07/23 14:02:21 - mmengine - INFO - Epoch(val) [89][40/310] eta: 0:00:47 time: 0.1771 data_time: 0.1016 memory: 1428 2022/07/23 14:02:25 - mmengine - INFO - Epoch(val) [89][60/310] eta: 0:00:54 time: 0.2198 data_time: 0.1432 memory: 1428 2022/07/23 14:02:29 - mmengine - INFO - Epoch(val) [89][80/310] eta: 0:00:46 time: 0.2013 data_time: 0.1244 memory: 1428 2022/07/23 14:02:34 - mmengine - INFO - Epoch(val) [89][100/310] eta: 0:00:46 time: 0.2233 data_time: 0.1481 memory: 1428 2022/07/23 14:02:37 - mmengine - INFO - Epoch(val) [89][120/310] eta: 0:00:34 time: 0.1799 data_time: 0.1061 memory: 1428 2022/07/23 14:02:42 - mmengine - INFO - Epoch(val) [89][140/310] eta: 0:00:43 time: 0.2533 data_time: 0.1798 memory: 1428 2022/07/23 14:02:46 - mmengine - INFO - Epoch(val) [89][160/310] eta: 0:00:27 time: 0.1815 data_time: 0.1074 memory: 1428 2022/07/23 14:02:51 - mmengine - INFO - Epoch(val) [89][180/310] eta: 0:00:32 time: 0.2531 data_time: 0.1749 memory: 1428 2022/07/23 14:02:55 - mmengine - INFO - Epoch(val) [89][200/310] eta: 0:00:20 time: 0.1823 data_time: 0.1084 memory: 1428 2022/07/23 14:03:00 - mmengine - INFO - Epoch(val) [89][220/310] eta: 0:00:24 time: 0.2731 data_time: 0.1993 memory: 1428 2022/07/23 14:03:04 - mmengine - INFO - Epoch(val) [89][240/310] eta: 0:00:13 time: 0.1866 data_time: 0.1119 memory: 1428 2022/07/23 14:03:09 - mmengine - INFO - Epoch(val) [89][260/310] eta: 0:00:13 time: 0.2623 data_time: 0.1848 memory: 1428 2022/07/23 14:03:13 - mmengine - INFO - Epoch(val) [89][280/310] eta: 0:00:05 time: 0.1901 data_time: 0.1106 memory: 1428 2022/07/23 14:03:17 - mmengine - INFO - Epoch(val) [89][300/310] eta: 0:00:02 time: 0.2114 data_time: 0.1373 memory: 1428 2022/07/23 14:03:21 - mmengine - INFO - Epoch(val) [89][310/310] acc/top1: 0.6658 acc/top5: 0.8668 acc/mean1: 0.6657 2022/07/23 14:03:28 - mmengine - INFO - Epoch(train) [90][20/3757] lr: 1.0000e-04 eta: 2:44:28 time: 0.3442 data_time: 0.1010 memory: 6108 grad_norm: 8.7768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1280 loss: 1.1280 2022/07/23 14:03:33 - mmengine - INFO - Epoch(train) [90][40/3757] lr: 1.0000e-04 eta: 2:44:24 time: 0.2314 data_time: 0.0259 memory: 6108 grad_norm: 9.0186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/07/23 14:03:37 - mmengine - INFO - Epoch(train) [90][60/3757] lr: 1.0000e-04 eta: 2:44:19 time: 0.2390 data_time: 0.0333 memory: 6108 grad_norm: 9.3657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1228 loss: 1.1228 2022/07/23 14:03:42 - mmengine - INFO - Epoch(train) [90][80/3757] lr: 1.0000e-04 eta: 2:44:14 time: 0.2291 data_time: 0.0211 memory: 6108 grad_norm: 9.1941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/07/23 14:03:47 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 1.0000e-04 eta: 2:44:09 time: 0.2369 data_time: 0.0211 memory: 6108 grad_norm: 9.0550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0110 loss: 1.0110 2022/07/23 14:03:52 - mmengine - INFO - Epoch(train) [90][120/3757] lr: 1.0000e-04 eta: 2:44:04 time: 0.2388 data_time: 0.0261 memory: 6108 grad_norm: 9.4291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3528 loss: 1.3528 2022/07/23 14:03:56 - mmengine - INFO - Epoch(train) [90][140/3757] lr: 1.0000e-04 eta: 2:44:00 time: 0.2343 data_time: 0.0245 memory: 6108 grad_norm: 9.0963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0106 loss: 1.0106 2022/07/23 14:04:01 - mmengine - INFO - Epoch(train) [90][160/3757] lr: 1.0000e-04 eta: 2:43:55 time: 0.2344 data_time: 0.0207 memory: 6108 grad_norm: 9.3083 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2977 loss: 1.2977 2022/07/23 14:04:06 - mmengine - INFO - Epoch(train) [90][180/3757] lr: 1.0000e-04 eta: 2:43:50 time: 0.2312 data_time: 0.0227 memory: 6108 grad_norm: 9.3814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/07/23 14:04:10 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 1.0000e-04 eta: 2:43:45 time: 0.2286 data_time: 0.0210 memory: 6108 grad_norm: 9.3469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2601 loss: 1.2601 2022/07/23 14:04:15 - mmengine - INFO - Epoch(train) [90][220/3757] lr: 1.0000e-04 eta: 2:43:40 time: 0.2266 data_time: 0.0179 memory: 6108 grad_norm: 8.5881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/07/23 14:04:20 - mmengine - INFO - Epoch(train) [90][240/3757] lr: 1.0000e-04 eta: 2:43:36 time: 0.2483 data_time: 0.0243 memory: 6108 grad_norm: 9.4081 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3337 loss: 1.3337 2022/07/23 14:04:24 - mmengine - INFO - Epoch(train) [90][260/3757] lr: 1.0000e-04 eta: 2:43:31 time: 0.2310 data_time: 0.0252 memory: 6108 grad_norm: 9.1380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0185 loss: 1.0185 2022/07/23 14:04:29 - mmengine - INFO - Epoch(train) [90][280/3757] lr: 1.0000e-04 eta: 2:43:26 time: 0.2306 data_time: 0.0212 memory: 6108 grad_norm: 9.2604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/07/23 14:04:34 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 1.0000e-04 eta: 2:43:21 time: 0.2353 data_time: 0.0244 memory: 6108 grad_norm: 9.2316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1533 loss: 1.1533 2022/07/23 14:04:39 - mmengine - INFO - Epoch(train) [90][320/3757] lr: 1.0000e-04 eta: 2:43:17 time: 0.2502 data_time: 0.0236 memory: 6108 grad_norm: 9.4118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/07/23 14:04:43 - mmengine - INFO - Epoch(train) [90][340/3757] lr: 1.0000e-04 eta: 2:43:12 time: 0.2312 data_time: 0.0207 memory: 6108 grad_norm: 9.0760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1521 loss: 1.1521 2022/07/23 14:04:48 - mmengine - INFO - Epoch(train) [90][360/3757] lr: 1.0000e-04 eta: 2:43:07 time: 0.2316 data_time: 0.0276 memory: 6108 grad_norm: 9.4612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9867 loss: 0.9867 2022/07/23 14:04:53 - mmengine - INFO - Epoch(train) [90][380/3757] lr: 1.0000e-04 eta: 2:43:02 time: 0.2338 data_time: 0.0190 memory: 6108 grad_norm: 9.1407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/07/23 14:04:58 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 1.0000e-04 eta: 2:42:57 time: 0.2359 data_time: 0.0239 memory: 6108 grad_norm: 8.9500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1473 loss: 1.1473 2022/07/23 14:05:02 - mmengine - INFO - Epoch(train) [90][420/3757] lr: 1.0000e-04 eta: 2:42:53 time: 0.2331 data_time: 0.0286 memory: 6108 grad_norm: 9.0304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9140 loss: 0.9140 2022/07/23 14:05:07 - mmengine - INFO - Epoch(train) [90][440/3757] lr: 1.0000e-04 eta: 2:42:48 time: 0.2349 data_time: 0.0271 memory: 6108 grad_norm: 9.2301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3941 loss: 1.3941 2022/07/23 14:05:12 - mmengine - INFO - Epoch(train) [90][460/3757] lr: 1.0000e-04 eta: 2:42:43 time: 0.2319 data_time: 0.0199 memory: 6108 grad_norm: 9.2190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9169 loss: 0.9169 2022/07/23 14:05:17 - mmengine - INFO - Epoch(train) [90][480/3757] lr: 1.0000e-04 eta: 2:42:38 time: 0.2395 data_time: 0.0239 memory: 6108 grad_norm: 9.7279 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4677 loss: 1.4677 2022/07/23 14:05:22 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 1.0000e-04 eta: 2:42:34 time: 0.2749 data_time: 0.0206 memory: 6108 grad_norm: 8.7654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1423 loss: 1.1423 2022/07/23 14:05:27 - mmengine - INFO - Epoch(train) [90][520/3757] lr: 1.0000e-04 eta: 2:42:29 time: 0.2361 data_time: 0.0261 memory: 6108 grad_norm: 8.9812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2113 loss: 1.2113 2022/07/23 14:05:32 - mmengine - INFO - Epoch(train) [90][540/3757] lr: 1.0000e-04 eta: 2:42:24 time: 0.2416 data_time: 0.0290 memory: 6108 grad_norm: 8.8842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1873 loss: 1.1873 2022/07/23 14:05:36 - mmengine - INFO - Epoch(train) [90][560/3757] lr: 1.0000e-04 eta: 2:42:19 time: 0.2323 data_time: 0.0165 memory: 6108 grad_norm: 9.5564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/07/23 14:05:41 - mmengine - INFO - Epoch(train) [90][580/3757] lr: 1.0000e-04 eta: 2:42:14 time: 0.2390 data_time: 0.0224 memory: 6108 grad_norm: 9.2885 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/07/23 14:05:46 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 1.0000e-04 eta: 2:42:10 time: 0.2292 data_time: 0.0246 memory: 6108 grad_norm: 9.4091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2024 loss: 1.2024 2022/07/23 14:05:50 - mmengine - INFO - Epoch(train) [90][620/3757] lr: 1.0000e-04 eta: 2:42:05 time: 0.2303 data_time: 0.0217 memory: 6108 grad_norm: 9.3251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1579 loss: 1.1579 2022/07/23 14:05:52 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:05:55 - mmengine - INFO - Epoch(train) [90][640/3757] lr: 1.0000e-04 eta: 2:42:00 time: 0.2337 data_time: 0.0232 memory: 6108 grad_norm: 9.0011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/07/23 14:06:00 - mmengine - INFO - Epoch(train) [90][660/3757] lr: 1.0000e-04 eta: 2:41:55 time: 0.2552 data_time: 0.0228 memory: 6108 grad_norm: 9.0364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1361 loss: 1.1361 2022/07/23 14:06:05 - mmengine - INFO - Epoch(train) [90][680/3757] lr: 1.0000e-04 eta: 2:41:50 time: 0.2223 data_time: 0.0174 memory: 6108 grad_norm: 8.9796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2677 loss: 1.2677 2022/07/23 14:06:10 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 1.0000e-04 eta: 2:41:46 time: 0.2387 data_time: 0.0305 memory: 6108 grad_norm: 8.6962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9878 loss: 0.9878 2022/07/23 14:06:14 - mmengine - INFO - Epoch(train) [90][720/3757] lr: 1.0000e-04 eta: 2:41:41 time: 0.2253 data_time: 0.0221 memory: 6108 grad_norm: 9.6329 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3662 loss: 1.3662 2022/07/23 14:06:19 - mmengine - INFO - Epoch(train) [90][740/3757] lr: 1.0000e-04 eta: 2:41:36 time: 0.2386 data_time: 0.0197 memory: 6108 grad_norm: 8.9979 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/07/23 14:06:24 - mmengine - INFO - Epoch(train) [90][760/3757] lr: 1.0000e-04 eta: 2:41:31 time: 0.2345 data_time: 0.0262 memory: 6108 grad_norm: 9.3888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0303 loss: 1.0303 2022/07/23 14:06:28 - mmengine - INFO - Epoch(train) [90][780/3757] lr: 1.0000e-04 eta: 2:41:27 time: 0.2306 data_time: 0.0208 memory: 6108 grad_norm: 9.2599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4993 loss: 1.4993 2022/07/23 14:06:33 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 1.0000e-04 eta: 2:41:22 time: 0.2324 data_time: 0.0226 memory: 6108 grad_norm: 9.1516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4327 loss: 1.4327 2022/07/23 14:06:38 - mmengine - INFO - Epoch(train) [90][820/3757] lr: 1.0000e-04 eta: 2:41:17 time: 0.2658 data_time: 0.0192 memory: 6108 grad_norm: 9.3560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/07/23 14:06:43 - mmengine - INFO - Epoch(train) [90][840/3757] lr: 1.0000e-04 eta: 2:41:12 time: 0.2317 data_time: 0.0206 memory: 6108 grad_norm: 9.5191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1766 loss: 1.1766 2022/07/23 14:06:47 - mmengine - INFO - Epoch(train) [90][860/3757] lr: 1.0000e-04 eta: 2:41:07 time: 0.2283 data_time: 0.0251 memory: 6108 grad_norm: 8.9599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5507 loss: 1.5507 2022/07/23 14:06:52 - mmengine - INFO - Epoch(train) [90][880/3757] lr: 1.0000e-04 eta: 2:41:03 time: 0.2360 data_time: 0.0195 memory: 6108 grad_norm: 9.1867 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0798 loss: 1.0798 2022/07/23 14:06:57 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 1.0000e-04 eta: 2:40:58 time: 0.2345 data_time: 0.0233 memory: 6108 grad_norm: 9.1421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/07/23 14:07:02 - mmengine - INFO - Epoch(train) [90][920/3757] lr: 1.0000e-04 eta: 2:40:53 time: 0.2331 data_time: 0.0253 memory: 6108 grad_norm: 9.1574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/07/23 14:07:06 - mmengine - INFO - Epoch(train) [90][940/3757] lr: 1.0000e-04 eta: 2:40:48 time: 0.2279 data_time: 0.0199 memory: 6108 grad_norm: 9.1346 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3684 loss: 1.3684 2022/07/23 14:07:11 - mmengine - INFO - Epoch(train) [90][960/3757] lr: 1.0000e-04 eta: 2:40:43 time: 0.2383 data_time: 0.0224 memory: 6108 grad_norm: 9.7599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0771 loss: 1.0771 2022/07/23 14:07:16 - mmengine - INFO - Epoch(train) [90][980/3757] lr: 1.0000e-04 eta: 2:40:39 time: 0.2390 data_time: 0.0225 memory: 6108 grad_norm: 9.0769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0781 loss: 1.0781 2022/07/23 14:07:21 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 1.0000e-04 eta: 2:40:34 time: 0.2317 data_time: 0.0206 memory: 6108 grad_norm: 9.3034 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/07/23 14:07:25 - mmengine - INFO - Epoch(train) [90][1020/3757] lr: 1.0000e-04 eta: 2:40:29 time: 0.2310 data_time: 0.0253 memory: 6108 grad_norm: 9.0247 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2494 loss: 1.2494 2022/07/23 14:07:30 - mmengine - INFO - Epoch(train) [90][1040/3757] lr: 1.0000e-04 eta: 2:40:24 time: 0.2344 data_time: 0.0236 memory: 6108 grad_norm: 9.3469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1887 loss: 1.1887 2022/07/23 14:07:35 - mmengine - INFO - Epoch(train) [90][1060/3757] lr: 1.0000e-04 eta: 2:40:20 time: 0.2461 data_time: 0.0210 memory: 6108 grad_norm: 9.3108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1367 loss: 1.1367 2022/07/23 14:07:40 - mmengine - INFO - Epoch(train) [90][1080/3757] lr: 1.0000e-04 eta: 2:40:15 time: 0.2441 data_time: 0.0203 memory: 6108 grad_norm: 9.1493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0870 loss: 1.0870 2022/07/23 14:07:45 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 1.0000e-04 eta: 2:40:10 time: 0.2450 data_time: 0.0225 memory: 6108 grad_norm: 9.1503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/07/23 14:07:49 - mmengine - INFO - Epoch(train) [90][1120/3757] lr: 1.0000e-04 eta: 2:40:05 time: 0.2334 data_time: 0.0206 memory: 6108 grad_norm: 9.1137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1616 loss: 1.1616 2022/07/23 14:07:54 - mmengine - INFO - Epoch(train) [90][1140/3757] lr: 1.0000e-04 eta: 2:40:00 time: 0.2342 data_time: 0.0198 memory: 6108 grad_norm: 9.4596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2255 loss: 1.2255 2022/07/23 14:07:59 - mmengine - INFO - Epoch(train) [90][1160/3757] lr: 1.0000e-04 eta: 2:39:56 time: 0.2382 data_time: 0.0288 memory: 6108 grad_norm: 9.3931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/07/23 14:08:04 - mmengine - INFO - Epoch(train) [90][1180/3757] lr: 1.0000e-04 eta: 2:39:51 time: 0.2296 data_time: 0.0254 memory: 6108 grad_norm: 9.2650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0107 loss: 1.0107 2022/07/23 14:08:08 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 1.0000e-04 eta: 2:39:46 time: 0.2364 data_time: 0.0214 memory: 6108 grad_norm: 8.9084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9490 loss: 0.9490 2022/07/23 14:08:13 - mmengine - INFO - Epoch(train) [90][1220/3757] lr: 1.0000e-04 eta: 2:39:41 time: 0.2405 data_time: 0.0266 memory: 6108 grad_norm: 9.5210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/23 14:08:18 - mmengine - INFO - Epoch(train) [90][1240/3757] lr: 1.0000e-04 eta: 2:39:37 time: 0.2382 data_time: 0.0244 memory: 6108 grad_norm: 9.0728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0464 loss: 1.0464 2022/07/23 14:08:23 - mmengine - INFO - Epoch(train) [90][1260/3757] lr: 1.0000e-04 eta: 2:39:32 time: 0.2296 data_time: 0.0209 memory: 6108 grad_norm: 9.0592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/07/23 14:08:27 - mmengine - INFO - Epoch(train) [90][1280/3757] lr: 1.0000e-04 eta: 2:39:27 time: 0.2390 data_time: 0.0247 memory: 6108 grad_norm: 9.0914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1820 loss: 1.1820 2022/07/23 14:08:32 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 1.0000e-04 eta: 2:39:22 time: 0.2306 data_time: 0.0182 memory: 6108 grad_norm: 9.0951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/07/23 14:08:37 - mmengine - INFO - Epoch(train) [90][1320/3757] lr: 1.0000e-04 eta: 2:39:17 time: 0.2289 data_time: 0.0188 memory: 6108 grad_norm: 8.8516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/07/23 14:08:41 - mmengine - INFO - Epoch(train) [90][1340/3757] lr: 1.0000e-04 eta: 2:39:13 time: 0.2322 data_time: 0.0199 memory: 6108 grad_norm: 9.1200 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0188 loss: 1.0188 2022/07/23 14:08:46 - mmengine - INFO - Epoch(train) [90][1360/3757] lr: 1.0000e-04 eta: 2:39:08 time: 0.2279 data_time: 0.0276 memory: 6108 grad_norm: 9.5128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/07/23 14:08:51 - mmengine - INFO - Epoch(train) [90][1380/3757] lr: 1.0000e-04 eta: 2:39:03 time: 0.2330 data_time: 0.0234 memory: 6108 grad_norm: 9.1126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0957 loss: 1.0957 2022/07/23 14:08:55 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 1.0000e-04 eta: 2:38:58 time: 0.2332 data_time: 0.0243 memory: 6108 grad_norm: 8.8023 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/07/23 14:09:00 - mmengine - INFO - Epoch(train) [90][1420/3757] lr: 1.0000e-04 eta: 2:38:53 time: 0.2364 data_time: 0.0193 memory: 6108 grad_norm: 9.4021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/07/23 14:09:05 - mmengine - INFO - Epoch(train) [90][1440/3757] lr: 1.0000e-04 eta: 2:38:49 time: 0.2342 data_time: 0.0234 memory: 6108 grad_norm: 9.1136 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4382 loss: 1.4382 2022/07/23 14:09:09 - mmengine - INFO - Epoch(train) [90][1460/3757] lr: 1.0000e-04 eta: 2:38:44 time: 0.2310 data_time: 0.0239 memory: 6108 grad_norm: 9.3024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/23 14:09:14 - mmengine - INFO - Epoch(train) [90][1480/3757] lr: 1.0000e-04 eta: 2:38:39 time: 0.2315 data_time: 0.0214 memory: 6108 grad_norm: 9.0415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0714 loss: 1.0714 2022/07/23 14:09:19 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 1.0000e-04 eta: 2:38:34 time: 0.2276 data_time: 0.0185 memory: 6108 grad_norm: 9.3640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1086 loss: 1.1086 2022/07/23 14:09:23 - mmengine - INFO - Epoch(train) [90][1520/3757] lr: 1.0000e-04 eta: 2:38:29 time: 0.2341 data_time: 0.0244 memory: 6108 grad_norm: 9.5863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3745 loss: 1.3745 2022/07/23 14:09:28 - mmengine - INFO - Epoch(train) [90][1540/3757] lr: 1.0000e-04 eta: 2:38:25 time: 0.2288 data_time: 0.0235 memory: 6108 grad_norm: 9.2675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0660 loss: 1.0660 2022/07/23 14:09:33 - mmengine - INFO - Epoch(train) [90][1560/3757] lr: 1.0000e-04 eta: 2:38:20 time: 0.2397 data_time: 0.0226 memory: 6108 grad_norm: 9.2864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1428 loss: 1.1428 2022/07/23 14:09:37 - mmengine - INFO - Epoch(train) [90][1580/3757] lr: 1.0000e-04 eta: 2:38:15 time: 0.2309 data_time: 0.0241 memory: 6108 grad_norm: 9.3629 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.2743 loss: 1.2743 2022/07/23 14:09:42 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 1.0000e-04 eta: 2:38:10 time: 0.2347 data_time: 0.0264 memory: 6108 grad_norm: 9.4239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1370 loss: 1.1370 2022/07/23 14:09:47 - mmengine - INFO - Epoch(train) [90][1620/3757] lr: 1.0000e-04 eta: 2:38:05 time: 0.2304 data_time: 0.0210 memory: 6108 grad_norm: 8.9892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2912 loss: 1.2912 2022/07/23 14:09:48 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:09:51 - mmengine - INFO - Epoch(train) [90][1640/3757] lr: 1.0000e-04 eta: 2:38:01 time: 0.2287 data_time: 0.0220 memory: 6108 grad_norm: 9.2541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/23 14:09:56 - mmengine - INFO - Epoch(train) [90][1660/3757] lr: 1.0000e-04 eta: 2:37:56 time: 0.2386 data_time: 0.0170 memory: 6108 grad_norm: 9.1035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3570 loss: 1.3570 2022/07/23 14:10:01 - mmengine - INFO - Epoch(train) [90][1680/3757] lr: 1.0000e-04 eta: 2:37:51 time: 0.2345 data_time: 0.0288 memory: 6108 grad_norm: 8.8052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/07/23 14:10:06 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 1.0000e-04 eta: 2:37:46 time: 0.2348 data_time: 0.0317 memory: 6108 grad_norm: 9.4140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/07/23 14:10:10 - mmengine - INFO - Epoch(train) [90][1720/3757] lr: 1.0000e-04 eta: 2:37:41 time: 0.2322 data_time: 0.0199 memory: 6108 grad_norm: 9.0787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0800 loss: 1.0800 2022/07/23 14:10:15 - mmengine - INFO - Epoch(train) [90][1740/3757] lr: 1.0000e-04 eta: 2:37:37 time: 0.2354 data_time: 0.0229 memory: 6108 grad_norm: 9.0202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/07/23 14:10:20 - mmengine - INFO - Epoch(train) [90][1760/3757] lr: 1.0000e-04 eta: 2:37:32 time: 0.2440 data_time: 0.0268 memory: 6108 grad_norm: 9.1919 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2047 loss: 1.2047 2022/07/23 14:10:25 - mmengine - INFO - Epoch(train) [90][1780/3757] lr: 1.0000e-04 eta: 2:37:27 time: 0.2299 data_time: 0.0247 memory: 6108 grad_norm: 9.4961 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3966 loss: 1.3966 2022/07/23 14:10:29 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 1.0000e-04 eta: 2:37:22 time: 0.2395 data_time: 0.0233 memory: 6108 grad_norm: 9.0199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/07/23 14:10:34 - mmengine - INFO - Epoch(train) [90][1820/3757] lr: 1.0000e-04 eta: 2:37:18 time: 0.2263 data_time: 0.0266 memory: 6108 grad_norm: 8.9421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9947 loss: 0.9947 2022/07/23 14:10:39 - mmengine - INFO - Epoch(train) [90][1840/3757] lr: 1.0000e-04 eta: 2:37:13 time: 0.2381 data_time: 0.0272 memory: 6108 grad_norm: 9.1818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0986 loss: 1.0986 2022/07/23 14:10:44 - mmengine - INFO - Epoch(train) [90][1860/3757] lr: 1.0000e-04 eta: 2:37:08 time: 0.2392 data_time: 0.0213 memory: 6108 grad_norm: 8.9933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3382 loss: 1.3382 2022/07/23 14:10:48 - mmengine - INFO - Epoch(train) [90][1880/3757] lr: 1.0000e-04 eta: 2:37:03 time: 0.2327 data_time: 0.0258 memory: 6108 grad_norm: 9.3223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/07/23 14:10:53 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 1.0000e-04 eta: 2:36:58 time: 0.2323 data_time: 0.0278 memory: 6108 grad_norm: 8.9363 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/07/23 14:10:58 - mmengine - INFO - Epoch(train) [90][1920/3757] lr: 1.0000e-04 eta: 2:36:54 time: 0.2326 data_time: 0.0217 memory: 6108 grad_norm: 9.1051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1874 loss: 1.1874 2022/07/23 14:11:02 - mmengine - INFO - Epoch(train) [90][1940/3757] lr: 1.0000e-04 eta: 2:36:49 time: 0.2331 data_time: 0.0241 memory: 6108 grad_norm: 8.8556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0267 loss: 1.0267 2022/07/23 14:11:07 - mmengine - INFO - Epoch(train) [90][1960/3757] lr: 1.0000e-04 eta: 2:36:44 time: 0.2408 data_time: 0.0240 memory: 6108 grad_norm: 9.2810 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8324 loss: 0.8324 2022/07/23 14:11:12 - mmengine - INFO - Epoch(train) [90][1980/3757] lr: 1.0000e-04 eta: 2:36:39 time: 0.2301 data_time: 0.0272 memory: 6108 grad_norm: 9.1374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/07/23 14:11:16 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 1.0000e-04 eta: 2:36:34 time: 0.2341 data_time: 0.0272 memory: 6108 grad_norm: 9.1291 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4226 loss: 1.4226 2022/07/23 14:11:21 - mmengine - INFO - Epoch(train) [90][2020/3757] lr: 1.0000e-04 eta: 2:36:30 time: 0.2370 data_time: 0.0217 memory: 6108 grad_norm: 9.4227 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2248 loss: 1.2248 2022/07/23 14:11:27 - mmengine - INFO - Epoch(train) [90][2040/3757] lr: 1.0000e-04 eta: 2:36:25 time: 0.2642 data_time: 0.0186 memory: 6108 grad_norm: 9.2404 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0898 loss: 1.0898 2022/07/23 14:11:31 - mmengine - INFO - Epoch(train) [90][2060/3757] lr: 1.0000e-04 eta: 2:36:20 time: 0.2362 data_time: 0.0270 memory: 6108 grad_norm: 9.0413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/07/23 14:11:36 - mmengine - INFO - Epoch(train) [90][2080/3757] lr: 1.0000e-04 eta: 2:36:15 time: 0.2292 data_time: 0.0197 memory: 6108 grad_norm: 9.6020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/07/23 14:11:41 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 1.0000e-04 eta: 2:36:11 time: 0.2387 data_time: 0.0182 memory: 6108 grad_norm: 9.3419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3827 loss: 1.3827 2022/07/23 14:11:45 - mmengine - INFO - Epoch(train) [90][2120/3757] lr: 1.0000e-04 eta: 2:36:06 time: 0.2362 data_time: 0.0267 memory: 6108 grad_norm: 8.8241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2537 loss: 1.2537 2022/07/23 14:11:50 - mmengine - INFO - Epoch(train) [90][2140/3757] lr: 1.0000e-04 eta: 2:36:01 time: 0.2346 data_time: 0.0212 memory: 6108 grad_norm: 9.2642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/07/23 14:11:55 - mmengine - INFO - Epoch(train) [90][2160/3757] lr: 1.0000e-04 eta: 2:35:56 time: 0.2266 data_time: 0.0255 memory: 6108 grad_norm: 8.9783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/07/23 14:12:00 - mmengine - INFO - Epoch(train) [90][2180/3757] lr: 1.0000e-04 eta: 2:35:51 time: 0.2445 data_time: 0.0195 memory: 6108 grad_norm: 8.9467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1635 loss: 1.1635 2022/07/23 14:12:04 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 1.0000e-04 eta: 2:35:47 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 9.2853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1542 loss: 1.1542 2022/07/23 14:12:09 - mmengine - INFO - Epoch(train) [90][2220/3757] lr: 1.0000e-04 eta: 2:35:42 time: 0.2601 data_time: 0.0152 memory: 6108 grad_norm: 9.5533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4609 loss: 1.4609 2022/07/23 14:12:14 - mmengine - INFO - Epoch(train) [90][2240/3757] lr: 1.0000e-04 eta: 2:35:37 time: 0.2326 data_time: 0.0205 memory: 6108 grad_norm: 9.0634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0374 loss: 1.0374 2022/07/23 14:12:19 - mmengine - INFO - Epoch(train) [90][2260/3757] lr: 1.0000e-04 eta: 2:35:32 time: 0.2330 data_time: 0.0299 memory: 6108 grad_norm: 9.0511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0904 loss: 1.0904 2022/07/23 14:12:24 - mmengine - INFO - Epoch(train) [90][2280/3757] lr: 1.0000e-04 eta: 2:35:28 time: 0.2335 data_time: 0.0201 memory: 6108 grad_norm: 9.1027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/07/23 14:12:28 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 1.0000e-04 eta: 2:35:23 time: 0.2425 data_time: 0.0200 memory: 6108 grad_norm: 9.2996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/07/23 14:12:33 - mmengine - INFO - Epoch(train) [90][2320/3757] lr: 1.0000e-04 eta: 2:35:18 time: 0.2363 data_time: 0.0271 memory: 6108 grad_norm: 9.1104 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1794 loss: 1.1794 2022/07/23 14:12:38 - mmengine - INFO - Epoch(train) [90][2340/3757] lr: 1.0000e-04 eta: 2:35:13 time: 0.2352 data_time: 0.0217 memory: 6108 grad_norm: 8.7996 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0521 loss: 1.0521 2022/07/23 14:12:43 - mmengine - INFO - Epoch(train) [90][2360/3757] lr: 1.0000e-04 eta: 2:35:08 time: 0.2366 data_time: 0.0296 memory: 6108 grad_norm: 9.3681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/07/23 14:12:47 - mmengine - INFO - Epoch(train) [90][2380/3757] lr: 1.0000e-04 eta: 2:35:04 time: 0.2349 data_time: 0.0221 memory: 6108 grad_norm: 9.4422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2617 loss: 1.2617 2022/07/23 14:12:52 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 1.0000e-04 eta: 2:34:59 time: 0.2310 data_time: 0.0204 memory: 6108 grad_norm: 8.9274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/07/23 14:12:57 - mmengine - INFO - Epoch(train) [90][2420/3757] lr: 1.0000e-04 eta: 2:34:54 time: 0.2306 data_time: 0.0213 memory: 6108 grad_norm: 9.2403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/07/23 14:13:01 - mmengine - INFO - Epoch(train) [90][2440/3757] lr: 1.0000e-04 eta: 2:34:49 time: 0.2350 data_time: 0.0209 memory: 6108 grad_norm: 9.3847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5203 loss: 1.5203 2022/07/23 14:13:06 - mmengine - INFO - Epoch(train) [90][2460/3757] lr: 1.0000e-04 eta: 2:34:44 time: 0.2297 data_time: 0.0176 memory: 6108 grad_norm: 9.5918 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2325 loss: 1.2325 2022/07/23 14:13:11 - mmengine - INFO - Epoch(train) [90][2480/3757] lr: 1.0000e-04 eta: 2:34:40 time: 0.2296 data_time: 0.0251 memory: 6108 grad_norm: 9.3620 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3879 loss: 1.3879 2022/07/23 14:13:15 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 1.0000e-04 eta: 2:34:35 time: 0.2298 data_time: 0.0188 memory: 6108 grad_norm: 9.4281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1316 loss: 1.1316 2022/07/23 14:13:20 - mmengine - INFO - Epoch(train) [90][2520/3757] lr: 1.0000e-04 eta: 2:34:30 time: 0.2298 data_time: 0.0235 memory: 6108 grad_norm: 9.5216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3533 loss: 1.3533 2022/07/23 14:13:25 - mmengine - INFO - Epoch(train) [90][2540/3757] lr: 1.0000e-04 eta: 2:34:25 time: 0.2314 data_time: 0.0229 memory: 6108 grad_norm: 9.6165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3760 loss: 1.3760 2022/07/23 14:13:30 - mmengine - INFO - Epoch(train) [90][2560/3757] lr: 1.0000e-04 eta: 2:34:20 time: 0.2463 data_time: 0.0292 memory: 6108 grad_norm: 9.0918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1600 loss: 1.1600 2022/07/23 14:13:34 - mmengine - INFO - Epoch(train) [90][2580/3757] lr: 1.0000e-04 eta: 2:34:16 time: 0.2301 data_time: 0.0164 memory: 6108 grad_norm: 9.5425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3139 loss: 1.3139 2022/07/23 14:13:39 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 1.0000e-04 eta: 2:34:11 time: 0.2340 data_time: 0.0253 memory: 6108 grad_norm: 9.0438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/07/23 14:13:44 - mmengine - INFO - Epoch(train) [90][2620/3757] lr: 1.0000e-04 eta: 2:34:06 time: 0.2332 data_time: 0.0317 memory: 6108 grad_norm: 9.1220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1842 loss: 1.1842 2022/07/23 14:13:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:13:48 - mmengine - INFO - Epoch(train) [90][2640/3757] lr: 1.0000e-04 eta: 2:34:01 time: 0.2322 data_time: 0.0253 memory: 6108 grad_norm: 9.1691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3575 loss: 1.3575 2022/07/23 14:13:53 - mmengine - INFO - Epoch(train) [90][2660/3757] lr: 1.0000e-04 eta: 2:33:57 time: 0.2338 data_time: 0.0211 memory: 6108 grad_norm: 9.1705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/07/23 14:13:58 - mmengine - INFO - Epoch(train) [90][2680/3757] lr: 1.0000e-04 eta: 2:33:52 time: 0.2274 data_time: 0.0197 memory: 6108 grad_norm: 8.8173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7911 loss: 0.7911 2022/07/23 14:14:02 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 1.0000e-04 eta: 2:33:47 time: 0.2318 data_time: 0.0257 memory: 6108 grad_norm: 9.4191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1365 loss: 1.1365 2022/07/23 14:14:07 - mmengine - INFO - Epoch(train) [90][2720/3757] lr: 1.0000e-04 eta: 2:33:42 time: 0.2320 data_time: 0.0271 memory: 6108 grad_norm: 8.9156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0703 loss: 1.0703 2022/07/23 14:14:12 - mmengine - INFO - Epoch(train) [90][2740/3757] lr: 1.0000e-04 eta: 2:33:37 time: 0.2760 data_time: 0.0218 memory: 6108 grad_norm: 9.3724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/07/23 14:14:17 - mmengine - INFO - Epoch(train) [90][2760/3757] lr: 1.0000e-04 eta: 2:33:33 time: 0.2405 data_time: 0.0280 memory: 6108 grad_norm: 9.0878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0775 loss: 1.0775 2022/07/23 14:14:22 - mmengine - INFO - Epoch(train) [90][2780/3757] lr: 1.0000e-04 eta: 2:33:28 time: 0.2301 data_time: 0.0215 memory: 6108 grad_norm: 9.3319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/07/23 14:14:27 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 1.0000e-04 eta: 2:33:23 time: 0.2309 data_time: 0.0250 memory: 6108 grad_norm: 9.2477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/07/23 14:14:31 - mmengine - INFO - Epoch(train) [90][2820/3757] lr: 1.0000e-04 eta: 2:33:18 time: 0.2308 data_time: 0.0249 memory: 6108 grad_norm: 9.1271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/07/23 14:14:36 - mmengine - INFO - Epoch(train) [90][2840/3757] lr: 1.0000e-04 eta: 2:33:13 time: 0.2271 data_time: 0.0161 memory: 6108 grad_norm: 9.1221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2900 loss: 1.2900 2022/07/23 14:14:40 - mmengine - INFO - Epoch(train) [90][2860/3757] lr: 1.0000e-04 eta: 2:33:09 time: 0.2302 data_time: 0.0196 memory: 6108 grad_norm: 9.2756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/07/23 14:14:45 - mmengine - INFO - Epoch(train) [90][2880/3757] lr: 1.0000e-04 eta: 2:33:04 time: 0.2366 data_time: 0.0248 memory: 6108 grad_norm: 9.5104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/07/23 14:14:50 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 1.0000e-04 eta: 2:32:59 time: 0.2413 data_time: 0.0226 memory: 6108 grad_norm: 9.0996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9437 loss: 0.9437 2022/07/23 14:14:55 - mmengine - INFO - Epoch(train) [90][2920/3757] lr: 1.0000e-04 eta: 2:32:54 time: 0.2318 data_time: 0.0213 memory: 6108 grad_norm: 9.2693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1623 loss: 1.1623 2022/07/23 14:14:59 - mmengine - INFO - Epoch(train) [90][2940/3757] lr: 1.0000e-04 eta: 2:32:50 time: 0.2261 data_time: 0.0259 memory: 6108 grad_norm: 9.4676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/07/23 14:15:04 - mmengine - INFO - Epoch(train) [90][2960/3757] lr: 1.0000e-04 eta: 2:32:45 time: 0.2361 data_time: 0.0234 memory: 6108 grad_norm: 9.3551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0295 loss: 1.0295 2022/07/23 14:15:09 - mmengine - INFO - Epoch(train) [90][2980/3757] lr: 1.0000e-04 eta: 2:32:40 time: 0.2328 data_time: 0.0191 memory: 6108 grad_norm: 9.0621 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/07/23 14:15:13 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 1.0000e-04 eta: 2:32:35 time: 0.2330 data_time: 0.0242 memory: 6108 grad_norm: 9.0630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4022 loss: 1.4022 2022/07/23 14:15:18 - mmengine - INFO - Epoch(train) [90][3020/3757] lr: 1.0000e-04 eta: 2:32:30 time: 0.2304 data_time: 0.0220 memory: 6108 grad_norm: 8.9654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2731 loss: 1.2731 2022/07/23 14:15:23 - mmengine - INFO - Epoch(train) [90][3040/3757] lr: 1.0000e-04 eta: 2:32:26 time: 0.2294 data_time: 0.0192 memory: 6108 grad_norm: 9.1673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2845 loss: 1.2845 2022/07/23 14:15:27 - mmengine - INFO - Epoch(train) [90][3060/3757] lr: 1.0000e-04 eta: 2:32:21 time: 0.2309 data_time: 0.0267 memory: 6108 grad_norm: 9.3565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/07/23 14:15:32 - mmengine - INFO - Epoch(train) [90][3080/3757] lr: 1.0000e-04 eta: 2:32:16 time: 0.2445 data_time: 0.0180 memory: 6108 grad_norm: 9.0336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1412 loss: 1.1412 2022/07/23 14:15:37 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 1.0000e-04 eta: 2:32:11 time: 0.2325 data_time: 0.0230 memory: 6108 grad_norm: 9.4770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/07/23 14:15:42 - mmengine - INFO - Epoch(train) [90][3120/3757] lr: 1.0000e-04 eta: 2:32:06 time: 0.2450 data_time: 0.0239 memory: 6108 grad_norm: 9.1745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0941 loss: 1.0941 2022/07/23 14:15:46 - mmengine - INFO - Epoch(train) [90][3140/3757] lr: 1.0000e-04 eta: 2:32:02 time: 0.2263 data_time: 0.0191 memory: 6108 grad_norm: 9.1456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1519 loss: 1.1519 2022/07/23 14:15:51 - mmengine - INFO - Epoch(train) [90][3160/3757] lr: 1.0000e-04 eta: 2:31:57 time: 0.2444 data_time: 0.0209 memory: 6108 grad_norm: 8.8779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0689 loss: 1.0689 2022/07/23 14:15:56 - mmengine - INFO - Epoch(train) [90][3180/3757] lr: 1.0000e-04 eta: 2:31:52 time: 0.2349 data_time: 0.0284 memory: 6108 grad_norm: 9.1525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/07/23 14:16:01 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 1.0000e-04 eta: 2:31:47 time: 0.2296 data_time: 0.0222 memory: 6108 grad_norm: 9.2423 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2257 loss: 1.2257 2022/07/23 14:16:05 - mmengine - INFO - Epoch(train) [90][3220/3757] lr: 1.0000e-04 eta: 2:31:43 time: 0.2333 data_time: 0.0256 memory: 6108 grad_norm: 9.0251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/07/23 14:16:10 - mmengine - INFO - Epoch(train) [90][3240/3757] lr: 1.0000e-04 eta: 2:31:38 time: 0.2381 data_time: 0.0252 memory: 6108 grad_norm: 8.5538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/07/23 14:16:15 - mmengine - INFO - Epoch(train) [90][3260/3757] lr: 1.0000e-04 eta: 2:31:33 time: 0.2309 data_time: 0.0240 memory: 6108 grad_norm: 9.5530 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4572 loss: 1.4572 2022/07/23 14:16:19 - mmengine - INFO - Epoch(train) [90][3280/3757] lr: 1.0000e-04 eta: 2:31:28 time: 0.2329 data_time: 0.0211 memory: 6108 grad_norm: 9.0544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/07/23 14:16:24 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 1.0000e-04 eta: 2:31:23 time: 0.2326 data_time: 0.0209 memory: 6108 grad_norm: 8.8527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0046 loss: 1.0046 2022/07/23 14:16:29 - mmengine - INFO - Epoch(train) [90][3320/3757] lr: 1.0000e-04 eta: 2:31:19 time: 0.2335 data_time: 0.0250 memory: 6108 grad_norm: 9.4545 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/23 14:16:33 - mmengine - INFO - Epoch(train) [90][3340/3757] lr: 1.0000e-04 eta: 2:31:14 time: 0.2280 data_time: 0.0215 memory: 6108 grad_norm: 9.1162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1258 loss: 1.1258 2022/07/23 14:16:38 - mmengine - INFO - Epoch(train) [90][3360/3757] lr: 1.0000e-04 eta: 2:31:09 time: 0.2397 data_time: 0.0326 memory: 6108 grad_norm: 9.1335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1703 loss: 1.1703 2022/07/23 14:16:43 - mmengine - INFO - Epoch(train) [90][3380/3757] lr: 1.0000e-04 eta: 2:31:04 time: 0.2297 data_time: 0.0237 memory: 6108 grad_norm: 9.0392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1650 loss: 1.1650 2022/07/23 14:16:48 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 1.0000e-04 eta: 2:30:59 time: 0.2362 data_time: 0.0241 memory: 6108 grad_norm: 9.4723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1862 loss: 1.1862 2022/07/23 14:16:52 - mmengine - INFO - Epoch(train) [90][3420/3757] lr: 1.0000e-04 eta: 2:30:55 time: 0.2255 data_time: 0.0233 memory: 6108 grad_norm: 9.0695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2353 loss: 1.2353 2022/07/23 14:16:57 - mmengine - INFO - Epoch(train) [90][3440/3757] lr: 1.0000e-04 eta: 2:30:50 time: 0.2332 data_time: 0.0249 memory: 6108 grad_norm: 9.2246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3303 loss: 1.3303 2022/07/23 14:17:02 - mmengine - INFO - Epoch(train) [90][3460/3757] lr: 1.0000e-04 eta: 2:30:45 time: 0.2322 data_time: 0.0226 memory: 6108 grad_norm: 9.3845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2546 loss: 1.2546 2022/07/23 14:17:06 - mmengine - INFO - Epoch(train) [90][3480/3757] lr: 1.0000e-04 eta: 2:30:40 time: 0.2333 data_time: 0.0253 memory: 6108 grad_norm: 9.1852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/07/23 14:17:11 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 1.0000e-04 eta: 2:30:35 time: 0.2311 data_time: 0.0227 memory: 6108 grad_norm: 8.9782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2510 loss: 1.2510 2022/07/23 14:17:16 - mmengine - INFO - Epoch(train) [90][3520/3757] lr: 1.0000e-04 eta: 2:30:31 time: 0.2343 data_time: 0.0250 memory: 6108 grad_norm: 9.0879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1502 loss: 1.1502 2022/07/23 14:17:20 - mmengine - INFO - Epoch(train) [90][3540/3757] lr: 1.0000e-04 eta: 2:30:26 time: 0.2390 data_time: 0.0240 memory: 6108 grad_norm: 9.1009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/07/23 14:17:25 - mmengine - INFO - Epoch(train) [90][3560/3757] lr: 1.0000e-04 eta: 2:30:21 time: 0.2296 data_time: 0.0236 memory: 6108 grad_norm: 9.3684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/23 14:17:30 - mmengine - INFO - Epoch(train) [90][3580/3757] lr: 1.0000e-04 eta: 2:30:16 time: 0.2344 data_time: 0.0216 memory: 6108 grad_norm: 9.1742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3234 loss: 1.3234 2022/07/23 14:17:34 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 1.0000e-04 eta: 2:30:11 time: 0.2312 data_time: 0.0253 memory: 6108 grad_norm: 9.2466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0689 loss: 1.0689 2022/07/23 14:17:39 - mmengine - INFO - Epoch(train) [90][3620/3757] lr: 1.0000e-04 eta: 2:30:07 time: 0.2366 data_time: 0.0236 memory: 6108 grad_norm: 9.3724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2428 loss: 1.2428 2022/07/23 14:17:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:17:44 - mmengine - INFO - Epoch(train) [90][3640/3757] lr: 1.0000e-04 eta: 2:30:02 time: 0.2322 data_time: 0.0184 memory: 6108 grad_norm: 9.5499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/07/23 14:17:49 - mmengine - INFO - Epoch(train) [90][3660/3757] lr: 1.0000e-04 eta: 2:29:57 time: 0.2304 data_time: 0.0283 memory: 6108 grad_norm: 8.8818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/07/23 14:17:53 - mmengine - INFO - Epoch(train) [90][3680/3757] lr: 1.0000e-04 eta: 2:29:52 time: 0.2306 data_time: 0.0234 memory: 6108 grad_norm: 9.1325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0506 loss: 1.0506 2022/07/23 14:17:58 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 1.0000e-04 eta: 2:29:48 time: 0.2428 data_time: 0.0281 memory: 6108 grad_norm: 8.5670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1748 loss: 1.1748 2022/07/23 14:18:03 - mmengine - INFO - Epoch(train) [90][3720/3757] lr: 1.0000e-04 eta: 2:29:43 time: 0.2342 data_time: 0.0245 memory: 6108 grad_norm: 9.0235 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/07/23 14:18:08 - mmengine - INFO - Epoch(train) [90][3740/3757] lr: 1.0000e-04 eta: 2:29:38 time: 0.2472 data_time: 0.0237 memory: 6108 grad_norm: 8.9402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/07/23 14:18:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:18:11 - mmengine - INFO - Epoch(train) [90][3757/3757] lr: 1.0000e-04 eta: 2:29:38 time: 0.2005 data_time: 0.0152 memory: 6108 grad_norm: 9.2971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0106 loss: 1.0106 2022/07/23 14:18:11 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/07/23 14:18:20 - mmengine - INFO - Epoch(val) [90][20/310] eta: 0:01:22 time: 0.2860 data_time: 0.2042 memory: 1428 2022/07/23 14:18:24 - mmengine - INFO - Epoch(val) [90][40/310] eta: 0:00:51 time: 0.1925 data_time: 0.1149 memory: 1428 2022/07/23 14:18:28 - mmengine - INFO - Epoch(val) [90][60/310] eta: 0:00:58 time: 0.2336 data_time: 0.1506 memory: 1428 2022/07/23 14:18:32 - mmengine - INFO - Epoch(val) [90][80/310] eta: 0:00:46 time: 0.2000 data_time: 0.1225 memory: 1428 2022/07/23 14:18:37 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:00:47 time: 0.2249 data_time: 0.1497 memory: 1428 2022/07/23 14:18:41 - mmengine - INFO - Epoch(val) [90][120/310] eta: 0:00:37 time: 0.1988 data_time: 0.1223 memory: 1428 2022/07/23 14:18:46 - mmengine - INFO - Epoch(val) [90][140/310] eta: 0:00:42 time: 0.2487 data_time: 0.1723 memory: 1428 2022/07/23 14:18:50 - mmengine - INFO - Epoch(val) [90][160/310] eta: 0:00:30 time: 0.2002 data_time: 0.1173 memory: 1428 2022/07/23 14:18:54 - mmengine - INFO - Epoch(val) [90][180/310] eta: 0:00:30 time: 0.2311 data_time: 0.1559 memory: 1428 2022/07/23 14:18:58 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:00:20 time: 0.1865 data_time: 0.1122 memory: 1428 2022/07/23 14:19:02 - mmengine - INFO - Epoch(val) [90][220/310] eta: 0:00:19 time: 0.2146 data_time: 0.1361 memory: 1428 2022/07/23 14:19:06 - mmengine - INFO - Epoch(val) [90][240/310] eta: 0:00:13 time: 0.1878 data_time: 0.1095 memory: 1428 2022/07/23 14:19:11 - mmengine - INFO - Epoch(val) [90][260/310] eta: 0:00:11 time: 0.2281 data_time: 0.1424 memory: 1428 2022/07/23 14:19:15 - mmengine - INFO - Epoch(val) [90][280/310] eta: 0:00:05 time: 0.1875 data_time: 0.1132 memory: 1428 2022/07/23 14:19:18 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:01 time: 0.1714 data_time: 0.1078 memory: 1428 2022/07/23 14:19:20 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.6658 acc/top5: 0.8658 acc/mean1: 0.6658 2022/07/23 14:19:27 - mmengine - INFO - Epoch(train) [91][20/3757] lr: 1.0000e-04 eta: 2:29:29 time: 0.3276 data_time: 0.1005 memory: 6108 grad_norm: 9.1821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/07/23 14:19:32 - mmengine - INFO - Epoch(train) [91][40/3757] lr: 1.0000e-04 eta: 2:29:24 time: 0.2418 data_time: 0.0196 memory: 6108 grad_norm: 9.3051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/07/23 14:19:37 - mmengine - INFO - Epoch(train) [91][60/3757] lr: 1.0000e-04 eta: 2:29:19 time: 0.2383 data_time: 0.0258 memory: 6108 grad_norm: 9.0540 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1878 loss: 1.1878 2022/07/23 14:19:41 - mmengine - INFO - Epoch(train) [91][80/3757] lr: 1.0000e-04 eta: 2:29:15 time: 0.2311 data_time: 0.0204 memory: 6108 grad_norm: 8.8975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8802 loss: 0.8802 2022/07/23 14:19:46 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 1.0000e-04 eta: 2:29:10 time: 0.2331 data_time: 0.0267 memory: 6108 grad_norm: 9.5522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1356 loss: 1.1356 2022/07/23 14:19:51 - mmengine - INFO - Epoch(train) [91][120/3757] lr: 1.0000e-04 eta: 2:29:05 time: 0.2344 data_time: 0.0246 memory: 6108 grad_norm: 9.5988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/07/23 14:19:56 - mmengine - INFO - Epoch(train) [91][140/3757] lr: 1.0000e-04 eta: 2:29:00 time: 0.2400 data_time: 0.0209 memory: 6108 grad_norm: 9.0618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1198 loss: 1.1198 2022/07/23 14:20:01 - mmengine - INFO - Epoch(train) [91][160/3757] lr: 1.0000e-04 eta: 2:28:55 time: 0.2412 data_time: 0.0210 memory: 6108 grad_norm: 9.4247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2132 loss: 1.2132 2022/07/23 14:20:05 - mmengine - INFO - Epoch(train) [91][180/3757] lr: 1.0000e-04 eta: 2:28:51 time: 0.2359 data_time: 0.0215 memory: 6108 grad_norm: 9.0411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0123 loss: 1.0123 2022/07/23 14:20:10 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 1.0000e-04 eta: 2:28:46 time: 0.2336 data_time: 0.0201 memory: 6108 grad_norm: 8.7285 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0795 loss: 1.0795 2022/07/23 14:20:15 - mmengine - INFO - Epoch(train) [91][220/3757] lr: 1.0000e-04 eta: 2:28:41 time: 0.2327 data_time: 0.0242 memory: 6108 grad_norm: 9.1768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1983 loss: 1.1983 2022/07/23 14:20:19 - mmengine - INFO - Epoch(train) [91][240/3757] lr: 1.0000e-04 eta: 2:28:36 time: 0.2372 data_time: 0.0237 memory: 6108 grad_norm: 8.9881 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0764 loss: 1.0764 2022/07/23 14:20:24 - mmengine - INFO - Epoch(train) [91][260/3757] lr: 1.0000e-04 eta: 2:28:32 time: 0.2343 data_time: 0.0200 memory: 6108 grad_norm: 9.2387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2460 loss: 1.2460 2022/07/23 14:20:29 - mmengine - INFO - Epoch(train) [91][280/3757] lr: 1.0000e-04 eta: 2:28:27 time: 0.2373 data_time: 0.0209 memory: 6108 grad_norm: 9.3991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2552 loss: 1.2552 2022/07/23 14:20:34 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 1.0000e-04 eta: 2:28:22 time: 0.2303 data_time: 0.0226 memory: 6108 grad_norm: 9.5011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0706 loss: 1.0706 2022/07/23 14:20:38 - mmengine - INFO - Epoch(train) [91][320/3757] lr: 1.0000e-04 eta: 2:28:17 time: 0.2381 data_time: 0.0179 memory: 6108 grad_norm: 9.1650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/07/23 14:20:43 - mmengine - INFO - Epoch(train) [91][340/3757] lr: 1.0000e-04 eta: 2:28:12 time: 0.2249 data_time: 0.0192 memory: 6108 grad_norm: 9.4461 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/07/23 14:20:48 - mmengine - INFO - Epoch(train) [91][360/3757] lr: 1.0000e-04 eta: 2:28:08 time: 0.2363 data_time: 0.0246 memory: 6108 grad_norm: 9.0005 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0723 loss: 1.0723 2022/07/23 14:20:52 - mmengine - INFO - Epoch(train) [91][380/3757] lr: 1.0000e-04 eta: 2:28:03 time: 0.2291 data_time: 0.0241 memory: 6108 grad_norm: 9.1145 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0734 loss: 1.0734 2022/07/23 14:20:57 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 1.0000e-04 eta: 2:27:58 time: 0.2325 data_time: 0.0200 memory: 6108 grad_norm: 9.1360 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1504 loss: 1.1504 2022/07/23 14:21:02 - mmengine - INFO - Epoch(train) [91][420/3757] lr: 1.0000e-04 eta: 2:27:53 time: 0.2372 data_time: 0.0225 memory: 6108 grad_norm: 8.8344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/07/23 14:21:06 - mmengine - INFO - Epoch(train) [91][440/3757] lr: 1.0000e-04 eta: 2:27:48 time: 0.2291 data_time: 0.0195 memory: 6108 grad_norm: 8.8743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1623 loss: 1.1623 2022/07/23 14:21:11 - mmengine - INFO - Epoch(train) [91][460/3757] lr: 1.0000e-04 eta: 2:27:44 time: 0.2398 data_time: 0.0220 memory: 6108 grad_norm: 8.9983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9698 loss: 0.9698 2022/07/23 14:21:16 - mmengine - INFO - Epoch(train) [91][480/3757] lr: 1.0000e-04 eta: 2:27:39 time: 0.2325 data_time: 0.0249 memory: 6108 grad_norm: 8.8643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/07/23 14:21:21 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 1.0000e-04 eta: 2:27:34 time: 0.2336 data_time: 0.0233 memory: 6108 grad_norm: 8.9921 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0067 loss: 1.0067 2022/07/23 14:21:25 - mmengine - INFO - Epoch(train) [91][520/3757] lr: 1.0000e-04 eta: 2:27:29 time: 0.2293 data_time: 0.0221 memory: 6108 grad_norm: 9.0313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0848 loss: 1.0848 2022/07/23 14:21:30 - mmengine - INFO - Epoch(train) [91][540/3757] lr: 1.0000e-04 eta: 2:27:24 time: 0.2311 data_time: 0.0268 memory: 6108 grad_norm: 9.7058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/07/23 14:21:34 - mmengine - INFO - Epoch(train) [91][560/3757] lr: 1.0000e-04 eta: 2:27:20 time: 0.2308 data_time: 0.0190 memory: 6108 grad_norm: 9.1812 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/07/23 14:21:39 - mmengine - INFO - Epoch(train) [91][580/3757] lr: 1.0000e-04 eta: 2:27:15 time: 0.2358 data_time: 0.0214 memory: 6108 grad_norm: 9.1848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/07/23 14:21:44 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 1.0000e-04 eta: 2:27:10 time: 0.2313 data_time: 0.0271 memory: 6108 grad_norm: 9.3067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0404 loss: 1.0404 2022/07/23 14:21:49 - mmengine - INFO - Epoch(train) [91][620/3757] lr: 1.0000e-04 eta: 2:27:05 time: 0.2333 data_time: 0.0202 memory: 6108 grad_norm: 9.4941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2311 loss: 1.2311 2022/07/23 14:21:53 - mmengine - INFO - Epoch(train) [91][640/3757] lr: 1.0000e-04 eta: 2:27:00 time: 0.2356 data_time: 0.0168 memory: 6108 grad_norm: 9.4116 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0446 loss: 1.0446 2022/07/23 14:21:58 - mmengine - INFO - Epoch(train) [91][660/3757] lr: 1.0000e-04 eta: 2:26:56 time: 0.2340 data_time: 0.0219 memory: 6108 grad_norm: 9.2424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0359 loss: 1.0359 2022/07/23 14:22:03 - mmengine - INFO - Epoch(train) [91][680/3757] lr: 1.0000e-04 eta: 2:26:51 time: 0.2350 data_time: 0.0212 memory: 6108 grad_norm: 9.2063 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1184 loss: 1.1184 2022/07/23 14:22:07 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 1.0000e-04 eta: 2:26:46 time: 0.2349 data_time: 0.0241 memory: 6108 grad_norm: 9.4125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9961 loss: 0.9961 2022/07/23 14:22:12 - mmengine - INFO - Epoch(train) [91][720/3757] lr: 1.0000e-04 eta: 2:26:41 time: 0.2323 data_time: 0.0211 memory: 6108 grad_norm: 9.2464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0787 loss: 1.0787 2022/07/23 14:22:17 - mmengine - INFO - Epoch(train) [91][740/3757] lr: 1.0000e-04 eta: 2:26:37 time: 0.2317 data_time: 0.0276 memory: 6108 grad_norm: 9.0094 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4316 loss: 1.4316 2022/07/23 14:22:21 - mmengine - INFO - Epoch(train) [91][760/3757] lr: 1.0000e-04 eta: 2:26:32 time: 0.2251 data_time: 0.0223 memory: 6108 grad_norm: 9.3500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2842 loss: 1.2842 2022/07/23 14:22:26 - mmengine - INFO - Epoch(train) [91][780/3757] lr: 1.0000e-04 eta: 2:26:27 time: 0.2313 data_time: 0.0244 memory: 6108 grad_norm: 8.6663 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0286 loss: 1.0286 2022/07/23 14:22:31 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 1.0000e-04 eta: 2:26:22 time: 0.2320 data_time: 0.0190 memory: 6108 grad_norm: 9.3661 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4277 loss: 1.4277 2022/07/23 14:22:35 - mmengine - INFO - Epoch(train) [91][820/3757] lr: 1.0000e-04 eta: 2:26:17 time: 0.2289 data_time: 0.0262 memory: 6108 grad_norm: 8.8975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0514 loss: 1.0514 2022/07/23 14:22:40 - mmengine - INFO - Epoch(train) [91][840/3757] lr: 1.0000e-04 eta: 2:26:13 time: 0.2414 data_time: 0.0240 memory: 6108 grad_norm: 9.0524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/07/23 14:22:45 - mmengine - INFO - Epoch(train) [91][860/3757] lr: 1.0000e-04 eta: 2:26:08 time: 0.2321 data_time: 0.0221 memory: 6108 grad_norm: 8.9313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2525 loss: 1.2525 2022/07/23 14:22:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:22:50 - mmengine - INFO - Epoch(train) [91][880/3757] lr: 1.0000e-04 eta: 2:26:03 time: 0.2431 data_time: 0.0212 memory: 6108 grad_norm: 9.3467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9347 loss: 0.9347 2022/07/23 14:22:54 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 1.0000e-04 eta: 2:25:58 time: 0.2290 data_time: 0.0214 memory: 6108 grad_norm: 9.2806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1982 loss: 1.1982 2022/07/23 14:22:59 - mmengine - INFO - Epoch(train) [91][920/3757] lr: 1.0000e-04 eta: 2:25:53 time: 0.2324 data_time: 0.0228 memory: 6108 grad_norm: 9.2309 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1126 loss: 1.1126 2022/07/23 14:23:04 - mmengine - INFO - Epoch(train) [91][940/3757] lr: 1.0000e-04 eta: 2:25:49 time: 0.2318 data_time: 0.0292 memory: 6108 grad_norm: 9.2494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/07/23 14:23:09 - mmengine - INFO - Epoch(train) [91][960/3757] lr: 1.0000e-04 eta: 2:25:44 time: 0.2451 data_time: 0.0251 memory: 6108 grad_norm: 9.2869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/07/23 14:23:13 - mmengine - INFO - Epoch(train) [91][980/3757] lr: 1.0000e-04 eta: 2:25:39 time: 0.2277 data_time: 0.0269 memory: 6108 grad_norm: 9.2923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/23 14:23:18 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 1.0000e-04 eta: 2:25:34 time: 0.2285 data_time: 0.0192 memory: 6108 grad_norm: 9.2890 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1496 loss: 1.1496 2022/07/23 14:23:23 - mmengine - INFO - Epoch(train) [91][1020/3757] lr: 1.0000e-04 eta: 2:25:30 time: 0.2378 data_time: 0.0285 memory: 6108 grad_norm: 9.3184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/07/23 14:23:27 - mmengine - INFO - Epoch(train) [91][1040/3757] lr: 1.0000e-04 eta: 2:25:25 time: 0.2393 data_time: 0.0197 memory: 6108 grad_norm: 9.0861 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9713 loss: 0.9713 2022/07/23 14:23:32 - mmengine - INFO - Epoch(train) [91][1060/3757] lr: 1.0000e-04 eta: 2:25:20 time: 0.2352 data_time: 0.0272 memory: 6108 grad_norm: 9.0982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/07/23 14:23:37 - mmengine - INFO - Epoch(train) [91][1080/3757] lr: 1.0000e-04 eta: 2:25:15 time: 0.2311 data_time: 0.0221 memory: 6108 grad_norm: 9.1116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/07/23 14:23:41 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 1.0000e-04 eta: 2:25:10 time: 0.2301 data_time: 0.0226 memory: 6108 grad_norm: 9.5809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/07/23 14:23:46 - mmengine - INFO - Epoch(train) [91][1120/3757] lr: 1.0000e-04 eta: 2:25:06 time: 0.2304 data_time: 0.0202 memory: 6108 grad_norm: 9.4557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1580 loss: 1.1580 2022/07/23 14:23:51 - mmengine - INFO - Epoch(train) [91][1140/3757] lr: 1.0000e-04 eta: 2:25:01 time: 0.2327 data_time: 0.0209 memory: 6108 grad_norm: 9.4857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0573 loss: 1.0573 2022/07/23 14:23:55 - mmengine - INFO - Epoch(train) [91][1160/3757] lr: 1.0000e-04 eta: 2:24:56 time: 0.2314 data_time: 0.0249 memory: 6108 grad_norm: 9.4441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/07/23 14:24:00 - mmengine - INFO - Epoch(train) [91][1180/3757] lr: 1.0000e-04 eta: 2:24:51 time: 0.2383 data_time: 0.0214 memory: 6108 grad_norm: 9.5314 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3452 loss: 1.3452 2022/07/23 14:24:06 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 1.0000e-04 eta: 2:24:46 time: 0.2642 data_time: 0.0268 memory: 6108 grad_norm: 9.5385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3975 loss: 1.3975 2022/07/23 14:24:10 - mmengine - INFO - Epoch(train) [91][1220/3757] lr: 1.0000e-04 eta: 2:24:42 time: 0.2395 data_time: 0.0270 memory: 6108 grad_norm: 9.6249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4135 loss: 1.4135 2022/07/23 14:24:15 - mmengine - INFO - Epoch(train) [91][1240/3757] lr: 1.0000e-04 eta: 2:24:37 time: 0.2292 data_time: 0.0255 memory: 6108 grad_norm: 9.2169 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/07/23 14:24:20 - mmengine - INFO - Epoch(train) [91][1260/3757] lr: 1.0000e-04 eta: 2:24:32 time: 0.2364 data_time: 0.0237 memory: 6108 grad_norm: 9.0338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/07/23 14:24:24 - mmengine - INFO - Epoch(train) [91][1280/3757] lr: 1.0000e-04 eta: 2:24:27 time: 0.2284 data_time: 0.0222 memory: 6108 grad_norm: 9.2339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2398 loss: 1.2398 2022/07/23 14:24:29 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 1.0000e-04 eta: 2:24:23 time: 0.2407 data_time: 0.0268 memory: 6108 grad_norm: 9.2940 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3050 loss: 1.3050 2022/07/23 14:24:34 - mmengine - INFO - Epoch(train) [91][1320/3757] lr: 1.0000e-04 eta: 2:24:18 time: 0.2461 data_time: 0.0185 memory: 6108 grad_norm: 9.4629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/07/23 14:24:39 - mmengine - INFO - Epoch(train) [91][1340/3757] lr: 1.0000e-04 eta: 2:24:13 time: 0.2269 data_time: 0.0202 memory: 6108 grad_norm: 9.2121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/07/23 14:24:43 - mmengine - INFO - Epoch(train) [91][1360/3757] lr: 1.0000e-04 eta: 2:24:08 time: 0.2318 data_time: 0.0277 memory: 6108 grad_norm: 9.3107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2524 loss: 1.2524 2022/07/23 14:24:49 - mmengine - INFO - Epoch(train) [91][1380/3757] lr: 1.0000e-04 eta: 2:24:03 time: 0.2569 data_time: 0.0229 memory: 6108 grad_norm: 9.3275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/07/23 14:24:53 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 1.0000e-04 eta: 2:23:59 time: 0.2323 data_time: 0.0245 memory: 6108 grad_norm: 9.4014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3082 loss: 1.3082 2022/07/23 14:24:58 - mmengine - INFO - Epoch(train) [91][1420/3757] lr: 1.0000e-04 eta: 2:23:54 time: 0.2326 data_time: 0.0246 memory: 6108 grad_norm: 8.8497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/07/23 14:25:03 - mmengine - INFO - Epoch(train) [91][1440/3757] lr: 1.0000e-04 eta: 2:23:49 time: 0.2452 data_time: 0.0298 memory: 6108 grad_norm: 9.1005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2252 loss: 1.2252 2022/07/23 14:25:07 - mmengine - INFO - Epoch(train) [91][1460/3757] lr: 1.0000e-04 eta: 2:23:44 time: 0.2253 data_time: 0.0200 memory: 6108 grad_norm: 9.0712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/07/23 14:25:12 - mmengine - INFO - Epoch(train) [91][1480/3757] lr: 1.0000e-04 eta: 2:23:40 time: 0.2332 data_time: 0.0267 memory: 6108 grad_norm: 8.9699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/07/23 14:25:17 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 1.0000e-04 eta: 2:23:35 time: 0.2300 data_time: 0.0243 memory: 6108 grad_norm: 9.1220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/07/23 14:25:22 - mmengine - INFO - Epoch(train) [91][1520/3757] lr: 1.0000e-04 eta: 2:23:30 time: 0.2794 data_time: 0.0202 memory: 6108 grad_norm: 9.3274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/07/23 14:25:27 - mmengine - INFO - Epoch(train) [91][1540/3757] lr: 1.0000e-04 eta: 2:23:25 time: 0.2363 data_time: 0.0248 memory: 6108 grad_norm: 8.8978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0027 loss: 1.0027 2022/07/23 14:25:32 - mmengine - INFO - Epoch(train) [91][1560/3757] lr: 1.0000e-04 eta: 2:23:20 time: 0.2305 data_time: 0.0222 memory: 6108 grad_norm: 9.2846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1507 loss: 1.1507 2022/07/23 14:25:36 - mmengine - INFO - Epoch(train) [91][1580/3757] lr: 1.0000e-04 eta: 2:23:16 time: 0.2317 data_time: 0.0211 memory: 6108 grad_norm: 8.9816 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0992 loss: 1.0992 2022/07/23 14:25:41 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 1.0000e-04 eta: 2:23:11 time: 0.2330 data_time: 0.0234 memory: 6108 grad_norm: 9.4964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/07/23 14:25:46 - mmengine - INFO - Epoch(train) [91][1620/3757] lr: 1.0000e-04 eta: 2:23:06 time: 0.2344 data_time: 0.0302 memory: 6108 grad_norm: 9.0409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2240 loss: 1.2240 2022/07/23 14:25:51 - mmengine - INFO - Epoch(train) [91][1640/3757] lr: 1.0000e-04 eta: 2:23:01 time: 0.2342 data_time: 0.0246 memory: 6108 grad_norm: 9.1381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/07/23 14:25:55 - mmengine - INFO - Epoch(train) [91][1660/3757] lr: 1.0000e-04 eta: 2:22:57 time: 0.2322 data_time: 0.0245 memory: 6108 grad_norm: 9.2518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/23 14:26:00 - mmengine - INFO - Epoch(train) [91][1680/3757] lr: 1.0000e-04 eta: 2:22:52 time: 0.2418 data_time: 0.0276 memory: 6108 grad_norm: 9.1962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0661 loss: 1.0661 2022/07/23 14:26:05 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 1.0000e-04 eta: 2:22:47 time: 0.2295 data_time: 0.0253 memory: 6108 grad_norm: 8.9114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/07/23 14:26:09 - mmengine - INFO - Epoch(train) [91][1720/3757] lr: 1.0000e-04 eta: 2:22:42 time: 0.2308 data_time: 0.0233 memory: 6108 grad_norm: 9.3607 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1854 loss: 1.1854 2022/07/23 14:26:14 - mmengine - INFO - Epoch(train) [91][1740/3757] lr: 1.0000e-04 eta: 2:22:37 time: 0.2277 data_time: 0.0218 memory: 6108 grad_norm: 9.1726 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/07/23 14:26:19 - mmengine - INFO - Epoch(train) [91][1760/3757] lr: 1.0000e-04 eta: 2:22:33 time: 0.2405 data_time: 0.0234 memory: 6108 grad_norm: 9.0736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/07/23 14:26:24 - mmengine - INFO - Epoch(train) [91][1780/3757] lr: 1.0000e-04 eta: 2:22:28 time: 0.2360 data_time: 0.0320 memory: 6108 grad_norm: 9.6205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/07/23 14:26:28 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 1.0000e-04 eta: 2:22:23 time: 0.2453 data_time: 0.0238 memory: 6108 grad_norm: 9.2819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/07/23 14:26:33 - mmengine - INFO - Epoch(train) [91][1820/3757] lr: 1.0000e-04 eta: 2:22:18 time: 0.2329 data_time: 0.0238 memory: 6108 grad_norm: 8.9792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1271 loss: 1.1271 2022/07/23 14:26:38 - mmengine - INFO - Epoch(train) [91][1840/3757] lr: 1.0000e-04 eta: 2:22:13 time: 0.2303 data_time: 0.0262 memory: 6108 grad_norm: 9.1112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0439 loss: 1.0439 2022/07/23 14:26:43 - mmengine - INFO - Epoch(train) [91][1860/3757] lr: 1.0000e-04 eta: 2:22:09 time: 0.2486 data_time: 0.0229 memory: 6108 grad_norm: 9.3945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1382 loss: 1.1382 2022/07/23 14:26:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:26:47 - mmengine - INFO - Epoch(train) [91][1880/3757] lr: 1.0000e-04 eta: 2:22:04 time: 0.2329 data_time: 0.0231 memory: 6108 grad_norm: 8.8993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/07/23 14:26:52 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 1.0000e-04 eta: 2:21:59 time: 0.2296 data_time: 0.0248 memory: 6108 grad_norm: 8.8960 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0811 loss: 1.0811 2022/07/23 14:26:57 - mmengine - INFO - Epoch(train) [91][1920/3757] lr: 1.0000e-04 eta: 2:21:54 time: 0.2421 data_time: 0.0331 memory: 6108 grad_norm: 9.5459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2422 loss: 1.2422 2022/07/23 14:27:02 - mmengine - INFO - Epoch(train) [91][1940/3757] lr: 1.0000e-04 eta: 2:21:50 time: 0.2368 data_time: 0.0220 memory: 6108 grad_norm: 9.7840 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1764 loss: 1.1764 2022/07/23 14:27:06 - mmengine - INFO - Epoch(train) [91][1960/3757] lr: 1.0000e-04 eta: 2:21:45 time: 0.2368 data_time: 0.0258 memory: 6108 grad_norm: 9.5334 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2189 loss: 1.2189 2022/07/23 14:27:11 - mmengine - INFO - Epoch(train) [91][1980/3757] lr: 1.0000e-04 eta: 2:21:40 time: 0.2347 data_time: 0.0232 memory: 6108 grad_norm: 9.4712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3646 loss: 1.3646 2022/07/23 14:27:16 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 1.0000e-04 eta: 2:21:35 time: 0.2335 data_time: 0.0248 memory: 6108 grad_norm: 9.3915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1680 loss: 1.1680 2022/07/23 14:27:21 - mmengine - INFO - Epoch(train) [91][2020/3757] lr: 1.0000e-04 eta: 2:21:30 time: 0.2429 data_time: 0.0360 memory: 6108 grad_norm: 9.3978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/07/23 14:27:25 - mmengine - INFO - Epoch(train) [91][2040/3757] lr: 1.0000e-04 eta: 2:21:26 time: 0.2306 data_time: 0.0224 memory: 6108 grad_norm: 9.2374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/23 14:27:30 - mmengine - INFO - Epoch(train) [91][2060/3757] lr: 1.0000e-04 eta: 2:21:21 time: 0.2289 data_time: 0.0254 memory: 6108 grad_norm: 9.3532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3036 loss: 1.3036 2022/07/23 14:27:35 - mmengine - INFO - Epoch(train) [91][2080/3757] lr: 1.0000e-04 eta: 2:21:16 time: 0.2343 data_time: 0.0292 memory: 6108 grad_norm: 9.3082 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1632 loss: 1.1632 2022/07/23 14:27:40 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 1.0000e-04 eta: 2:21:11 time: 0.2370 data_time: 0.0222 memory: 6108 grad_norm: 9.5060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9478 loss: 0.9478 2022/07/23 14:27:44 - mmengine - INFO - Epoch(train) [91][2120/3757] lr: 1.0000e-04 eta: 2:21:06 time: 0.2351 data_time: 0.0227 memory: 6108 grad_norm: 9.4844 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1491 loss: 1.1491 2022/07/23 14:27:49 - mmengine - INFO - Epoch(train) [91][2140/3757] lr: 1.0000e-04 eta: 2:21:02 time: 0.2348 data_time: 0.0242 memory: 6108 grad_norm: 9.6517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0044 loss: 1.0044 2022/07/23 14:27:54 - mmengine - INFO - Epoch(train) [91][2160/3757] lr: 1.0000e-04 eta: 2:20:57 time: 0.2319 data_time: 0.0320 memory: 6108 grad_norm: 9.4569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/07/23 14:27:58 - mmengine - INFO - Epoch(train) [91][2180/3757] lr: 1.0000e-04 eta: 2:20:52 time: 0.2313 data_time: 0.0248 memory: 6108 grad_norm: 9.0891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2016 loss: 1.2016 2022/07/23 14:28:03 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 1.0000e-04 eta: 2:20:47 time: 0.2314 data_time: 0.0236 memory: 6108 grad_norm: 9.4131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/07/23 14:28:08 - mmengine - INFO - Epoch(train) [91][2220/3757] lr: 1.0000e-04 eta: 2:20:43 time: 0.2297 data_time: 0.0224 memory: 6108 grad_norm: 9.2934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2640 loss: 1.2640 2022/07/23 14:28:12 - mmengine - INFO - Epoch(train) [91][2240/3757] lr: 1.0000e-04 eta: 2:20:38 time: 0.2336 data_time: 0.0218 memory: 6108 grad_norm: 9.4927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1806 loss: 1.1806 2022/07/23 14:28:17 - mmengine - INFO - Epoch(train) [91][2260/3757] lr: 1.0000e-04 eta: 2:20:33 time: 0.2311 data_time: 0.0221 memory: 6108 grad_norm: 9.3918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/07/23 14:28:22 - mmengine - INFO - Epoch(train) [91][2280/3757] lr: 1.0000e-04 eta: 2:20:28 time: 0.2344 data_time: 0.0224 memory: 6108 grad_norm: 9.0605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8881 loss: 0.8881 2022/07/23 14:28:26 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 1.0000e-04 eta: 2:20:23 time: 0.2300 data_time: 0.0248 memory: 6108 grad_norm: 9.2035 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/07/23 14:28:31 - mmengine - INFO - Epoch(train) [91][2320/3757] lr: 1.0000e-04 eta: 2:20:19 time: 0.2327 data_time: 0.0228 memory: 6108 grad_norm: 9.2110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3741 loss: 1.3741 2022/07/23 14:28:36 - mmengine - INFO - Epoch(train) [91][2340/3757] lr: 1.0000e-04 eta: 2:20:14 time: 0.2309 data_time: 0.0241 memory: 6108 grad_norm: 9.0917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1847 loss: 1.1847 2022/07/23 14:28:40 - mmengine - INFO - Epoch(train) [91][2360/3757] lr: 1.0000e-04 eta: 2:20:09 time: 0.2380 data_time: 0.0270 memory: 6108 grad_norm: 9.1238 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0049 loss: 1.0049 2022/07/23 14:28:45 - mmengine - INFO - Epoch(train) [91][2380/3757] lr: 1.0000e-04 eta: 2:20:04 time: 0.2331 data_time: 0.0221 memory: 6108 grad_norm: 9.6956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/07/23 14:28:50 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 1.0000e-04 eta: 2:19:59 time: 0.2402 data_time: 0.0250 memory: 6108 grad_norm: 9.5803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1179 loss: 1.1179 2022/07/23 14:28:55 - mmengine - INFO - Epoch(train) [91][2420/3757] lr: 1.0000e-04 eta: 2:19:55 time: 0.2293 data_time: 0.0186 memory: 6108 grad_norm: 9.1942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/07/23 14:28:59 - mmengine - INFO - Epoch(train) [91][2440/3757] lr: 1.0000e-04 eta: 2:19:50 time: 0.2358 data_time: 0.0298 memory: 6108 grad_norm: 9.4116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/07/23 14:29:04 - mmengine - INFO - Epoch(train) [91][2460/3757] lr: 1.0000e-04 eta: 2:19:45 time: 0.2369 data_time: 0.0240 memory: 6108 grad_norm: 9.3494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/07/23 14:29:09 - mmengine - INFO - Epoch(train) [91][2480/3757] lr: 1.0000e-04 eta: 2:19:40 time: 0.2249 data_time: 0.0180 memory: 6108 grad_norm: 9.4953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2480 loss: 1.2480 2022/07/23 14:29:13 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 1.0000e-04 eta: 2:19:35 time: 0.2375 data_time: 0.0260 memory: 6108 grad_norm: 9.0498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0592 loss: 1.0592 2022/07/23 14:29:18 - mmengine - INFO - Epoch(train) [91][2520/3757] lr: 1.0000e-04 eta: 2:19:31 time: 0.2295 data_time: 0.0228 memory: 6108 grad_norm: 9.4196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1931 loss: 1.1931 2022/07/23 14:29:23 - mmengine - INFO - Epoch(train) [91][2540/3757] lr: 1.0000e-04 eta: 2:19:26 time: 0.2293 data_time: 0.0244 memory: 6108 grad_norm: 9.3528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0204 loss: 1.0204 2022/07/23 14:29:27 - mmengine - INFO - Epoch(train) [91][2560/3757] lr: 1.0000e-04 eta: 2:19:21 time: 0.2293 data_time: 0.0238 memory: 6108 grad_norm: 9.2077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/07/23 14:29:32 - mmengine - INFO - Epoch(train) [91][2580/3757] lr: 1.0000e-04 eta: 2:19:16 time: 0.2379 data_time: 0.0235 memory: 6108 grad_norm: 9.2998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1983 loss: 1.1983 2022/07/23 14:29:37 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 1.0000e-04 eta: 2:19:12 time: 0.2370 data_time: 0.0340 memory: 6108 grad_norm: 9.6754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2121 loss: 1.2121 2022/07/23 14:29:42 - mmengine - INFO - Epoch(train) [91][2620/3757] lr: 1.0000e-04 eta: 2:19:07 time: 0.2314 data_time: 0.0267 memory: 6108 grad_norm: 8.7323 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2466 loss: 1.2466 2022/07/23 14:29:46 - mmengine - INFO - Epoch(train) [91][2640/3757] lr: 1.0000e-04 eta: 2:19:02 time: 0.2280 data_time: 0.0211 memory: 6108 grad_norm: 9.5025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3966 loss: 1.3966 2022/07/23 14:29:51 - mmengine - INFO - Epoch(train) [91][2660/3757] lr: 1.0000e-04 eta: 2:18:57 time: 0.2390 data_time: 0.0228 memory: 6108 grad_norm: 9.3359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/07/23 14:29:56 - mmengine - INFO - Epoch(train) [91][2680/3757] lr: 1.0000e-04 eta: 2:18:52 time: 0.2333 data_time: 0.0274 memory: 6108 grad_norm: 8.9882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/07/23 14:30:00 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 1.0000e-04 eta: 2:18:48 time: 0.2350 data_time: 0.0341 memory: 6108 grad_norm: 9.2746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/07/23 14:30:05 - mmengine - INFO - Epoch(train) [91][2720/3757] lr: 1.0000e-04 eta: 2:18:43 time: 0.2325 data_time: 0.0218 memory: 6108 grad_norm: 8.9634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0615 loss: 1.0615 2022/07/23 14:30:10 - mmengine - INFO - Epoch(train) [91][2740/3757] lr: 1.0000e-04 eta: 2:18:38 time: 0.2374 data_time: 0.0251 memory: 6108 grad_norm: 8.9527 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9580 loss: 0.9580 2022/07/23 14:30:15 - mmengine - INFO - Epoch(train) [91][2760/3757] lr: 1.0000e-04 eta: 2:18:33 time: 0.2314 data_time: 0.0258 memory: 6108 grad_norm: 9.4176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9649 loss: 0.9649 2022/07/23 14:30:19 - mmengine - INFO - Epoch(train) [91][2780/3757] lr: 1.0000e-04 eta: 2:18:28 time: 0.2416 data_time: 0.0218 memory: 6108 grad_norm: 8.8969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2552 loss: 1.2552 2022/07/23 14:30:24 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 1.0000e-04 eta: 2:18:24 time: 0.2338 data_time: 0.0309 memory: 6108 grad_norm: 9.0872 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0882 loss: 1.0882 2022/07/23 14:30:29 - mmengine - INFO - Epoch(train) [91][2820/3757] lr: 1.0000e-04 eta: 2:18:19 time: 0.2334 data_time: 0.0227 memory: 6108 grad_norm: 9.6061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2998 loss: 1.2998 2022/07/23 14:30:34 - mmengine - INFO - Epoch(train) [91][2840/3757] lr: 1.0000e-04 eta: 2:18:14 time: 0.2370 data_time: 0.0211 memory: 6108 grad_norm: 9.5364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/07/23 14:30:38 - mmengine - INFO - Epoch(train) [91][2860/3757] lr: 1.0000e-04 eta: 2:18:09 time: 0.2289 data_time: 0.0260 memory: 6108 grad_norm: 9.0429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1557 loss: 1.1557 2022/07/23 14:30:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:30:43 - mmengine - INFO - Epoch(train) [91][2880/3757] lr: 1.0000e-04 eta: 2:18:05 time: 0.2361 data_time: 0.0265 memory: 6108 grad_norm: 9.1072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/07/23 14:30:48 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 1.0000e-04 eta: 2:18:00 time: 0.2281 data_time: 0.0242 memory: 6108 grad_norm: 9.2580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1475 loss: 1.1475 2022/07/23 14:30:53 - mmengine - INFO - Epoch(train) [91][2920/3757] lr: 1.0000e-04 eta: 2:17:55 time: 0.2484 data_time: 0.0248 memory: 6108 grad_norm: 8.9456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/07/23 14:30:57 - mmengine - INFO - Epoch(train) [91][2940/3757] lr: 1.0000e-04 eta: 2:17:50 time: 0.2363 data_time: 0.0219 memory: 6108 grad_norm: 8.9810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/07/23 14:31:02 - mmengine - INFO - Epoch(train) [91][2960/3757] lr: 1.0000e-04 eta: 2:17:45 time: 0.2286 data_time: 0.0241 memory: 6108 grad_norm: 9.6225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2518 loss: 1.2518 2022/07/23 14:31:07 - mmengine - INFO - Epoch(train) [91][2980/3757] lr: 1.0000e-04 eta: 2:17:41 time: 0.2315 data_time: 0.0233 memory: 6108 grad_norm: 9.4633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/07/23 14:31:12 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 1.0000e-04 eta: 2:17:36 time: 0.2473 data_time: 0.0227 memory: 6108 grad_norm: 9.3581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/07/23 14:31:16 - mmengine - INFO - Epoch(train) [91][3020/3757] lr: 1.0000e-04 eta: 2:17:31 time: 0.2288 data_time: 0.0257 memory: 6108 grad_norm: 8.7234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3663 loss: 1.3663 2022/07/23 14:31:21 - mmengine - INFO - Epoch(train) [91][3040/3757] lr: 1.0000e-04 eta: 2:17:26 time: 0.2487 data_time: 0.0241 memory: 6108 grad_norm: 9.1802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2034 loss: 1.2034 2022/07/23 14:31:26 - mmengine - INFO - Epoch(train) [91][3060/3757] lr: 1.0000e-04 eta: 2:17:21 time: 0.2257 data_time: 0.0200 memory: 6108 grad_norm: 9.2271 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3098 loss: 1.3098 2022/07/23 14:31:30 - mmengine - INFO - Epoch(train) [91][3080/3757] lr: 1.0000e-04 eta: 2:17:17 time: 0.2312 data_time: 0.0211 memory: 6108 grad_norm: 9.3051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/07/23 14:31:35 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 1.0000e-04 eta: 2:17:12 time: 0.2331 data_time: 0.0232 memory: 6108 grad_norm: 9.5057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/23 14:31:40 - mmengine - INFO - Epoch(train) [91][3120/3757] lr: 1.0000e-04 eta: 2:17:07 time: 0.2350 data_time: 0.0245 memory: 6108 grad_norm: 9.3438 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3754 loss: 1.3754 2022/07/23 14:31:44 - mmengine - INFO - Epoch(train) [91][3140/3757] lr: 1.0000e-04 eta: 2:17:02 time: 0.2301 data_time: 0.0222 memory: 6108 grad_norm: 9.3218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/07/23 14:31:49 - mmengine - INFO - Epoch(train) [91][3160/3757] lr: 1.0000e-04 eta: 2:16:58 time: 0.2352 data_time: 0.0298 memory: 6108 grad_norm: 9.3592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/07/23 14:31:54 - mmengine - INFO - Epoch(train) [91][3180/3757] lr: 1.0000e-04 eta: 2:16:53 time: 0.2338 data_time: 0.0235 memory: 6108 grad_norm: 9.0883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/07/23 14:31:59 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 1.0000e-04 eta: 2:16:48 time: 0.2348 data_time: 0.0206 memory: 6108 grad_norm: 9.4737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/07/23 14:32:03 - mmengine - INFO - Epoch(train) [91][3220/3757] lr: 1.0000e-04 eta: 2:16:43 time: 0.2299 data_time: 0.0230 memory: 6108 grad_norm: 9.2957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0879 loss: 1.0879 2022/07/23 14:32:08 - mmengine - INFO - Epoch(train) [91][3240/3757] lr: 1.0000e-04 eta: 2:16:38 time: 0.2311 data_time: 0.0215 memory: 6108 grad_norm: 9.1227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/07/23 14:32:13 - mmengine - INFO - Epoch(train) [91][3260/3757] lr: 1.0000e-04 eta: 2:16:34 time: 0.2416 data_time: 0.0255 memory: 6108 grad_norm: 9.3241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/23 14:32:17 - mmengine - INFO - Epoch(train) [91][3280/3757] lr: 1.0000e-04 eta: 2:16:29 time: 0.2349 data_time: 0.0218 memory: 6108 grad_norm: 9.4439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0706 loss: 1.0706 2022/07/23 14:32:22 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 1.0000e-04 eta: 2:16:24 time: 0.2352 data_time: 0.0228 memory: 6108 grad_norm: 9.5778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/07/23 14:32:27 - mmengine - INFO - Epoch(train) [91][3320/3757] lr: 1.0000e-04 eta: 2:16:19 time: 0.2323 data_time: 0.0258 memory: 6108 grad_norm: 9.4015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1942 loss: 1.1942 2022/07/23 14:32:32 - mmengine - INFO - Epoch(train) [91][3340/3757] lr: 1.0000e-04 eta: 2:16:15 time: 0.2459 data_time: 0.0242 memory: 6108 grad_norm: 9.4969 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6071 loss: 1.6071 2022/07/23 14:32:36 - mmengine - INFO - Epoch(train) [91][3360/3757] lr: 1.0000e-04 eta: 2:16:10 time: 0.2325 data_time: 0.0223 memory: 6108 grad_norm: 8.9210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/23 14:32:41 - mmengine - INFO - Epoch(train) [91][3380/3757] lr: 1.0000e-04 eta: 2:16:05 time: 0.2332 data_time: 0.0263 memory: 6108 grad_norm: 9.2576 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9953 loss: 0.9953 2022/07/23 14:32:46 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 1.0000e-04 eta: 2:16:00 time: 0.2357 data_time: 0.0298 memory: 6108 grad_norm: 8.6364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/07/23 14:32:51 - mmengine - INFO - Epoch(train) [91][3420/3757] lr: 1.0000e-04 eta: 2:15:55 time: 0.2335 data_time: 0.0216 memory: 6108 grad_norm: 8.9508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/07/23 14:32:55 - mmengine - INFO - Epoch(train) [91][3440/3757] lr: 1.0000e-04 eta: 2:15:51 time: 0.2271 data_time: 0.0237 memory: 6108 grad_norm: 9.4033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/07/23 14:33:00 - mmengine - INFO - Epoch(train) [91][3460/3757] lr: 1.0000e-04 eta: 2:15:46 time: 0.2450 data_time: 0.0265 memory: 6108 grad_norm: 9.1279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/07/23 14:33:05 - mmengine - INFO - Epoch(train) [91][3480/3757] lr: 1.0000e-04 eta: 2:15:41 time: 0.2299 data_time: 0.0217 memory: 6108 grad_norm: 9.6455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1412 loss: 1.1412 2022/07/23 14:33:10 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 1.0000e-04 eta: 2:15:36 time: 0.2391 data_time: 0.0251 memory: 6108 grad_norm: 9.5995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/07/23 14:33:14 - mmengine - INFO - Epoch(train) [91][3520/3757] lr: 1.0000e-04 eta: 2:15:31 time: 0.2275 data_time: 0.0236 memory: 6108 grad_norm: 9.2846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2303 loss: 1.2303 2022/07/23 14:33:19 - mmengine - INFO - Epoch(train) [91][3540/3757] lr: 1.0000e-04 eta: 2:15:27 time: 0.2269 data_time: 0.0203 memory: 6108 grad_norm: 9.5099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1327 loss: 1.1327 2022/07/23 14:33:24 - mmengine - INFO - Epoch(train) [91][3560/3757] lr: 1.0000e-04 eta: 2:15:22 time: 0.2539 data_time: 0.0527 memory: 6108 grad_norm: 9.2327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1183 loss: 1.1183 2022/07/23 14:33:29 - mmengine - INFO - Epoch(train) [91][3580/3757] lr: 1.0000e-04 eta: 2:15:17 time: 0.2323 data_time: 0.0222 memory: 6108 grad_norm: 9.4292 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2156 loss: 1.2156 2022/07/23 14:33:33 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 1.0000e-04 eta: 2:15:12 time: 0.2274 data_time: 0.0196 memory: 6108 grad_norm: 9.2235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9874 loss: 0.9874 2022/07/23 14:33:38 - mmengine - INFO - Epoch(train) [91][3620/3757] lr: 1.0000e-04 eta: 2:15:07 time: 0.2304 data_time: 0.0228 memory: 6108 grad_norm: 9.2928 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2283 loss: 1.2283 2022/07/23 14:33:42 - mmengine - INFO - Epoch(train) [91][3640/3757] lr: 1.0000e-04 eta: 2:15:03 time: 0.2352 data_time: 0.0268 memory: 6108 grad_norm: 9.2073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/07/23 14:33:47 - mmengine - INFO - Epoch(train) [91][3660/3757] lr: 1.0000e-04 eta: 2:14:58 time: 0.2323 data_time: 0.0255 memory: 6108 grad_norm: 9.0788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/07/23 14:33:52 - mmengine - INFO - Epoch(train) [91][3680/3757] lr: 1.0000e-04 eta: 2:14:53 time: 0.2302 data_time: 0.0229 memory: 6108 grad_norm: 9.5381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9433 loss: 0.9433 2022/07/23 14:33:56 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 1.0000e-04 eta: 2:14:48 time: 0.2328 data_time: 0.0293 memory: 6108 grad_norm: 8.8746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/07/23 14:34:01 - mmengine - INFO - Epoch(train) [91][3720/3757] lr: 1.0000e-04 eta: 2:14:44 time: 0.2443 data_time: 0.0249 memory: 6108 grad_norm: 9.1754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9637 loss: 0.9637 2022/07/23 14:34:06 - mmengine - INFO - Epoch(train) [91][3740/3757] lr: 1.0000e-04 eta: 2:14:39 time: 0.2317 data_time: 0.0204 memory: 6108 grad_norm: 9.1686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1010 loss: 1.1010 2022/07/23 14:34:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:34:10 - mmengine - INFO - Epoch(train) [91][3757/3757] lr: 1.0000e-04 eta: 2:14:39 time: 0.2109 data_time: 0.0186 memory: 6108 grad_norm: 9.1199 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/07/23 14:34:15 - mmengine - INFO - Epoch(val) [91][20/310] eta: 0:01:22 time: 0.2842 data_time: 0.2005 memory: 1428 2022/07/23 14:34:19 - mmengine - INFO - Epoch(val) [91][40/310] eta: 0:00:50 time: 0.1860 data_time: 0.1045 memory: 1428 2022/07/23 14:34:24 - mmengine - INFO - Epoch(val) [91][60/310] eta: 0:01:01 time: 0.2441 data_time: 0.1643 memory: 1428 2022/07/23 14:34:27 - mmengine - INFO - Epoch(val) [91][80/310] eta: 0:00:39 time: 0.1733 data_time: 0.0971 memory: 1428 2022/07/23 14:34:32 - mmengine - INFO - Epoch(val) [91][100/310] eta: 0:00:51 time: 0.2435 data_time: 0.1574 memory: 1428 2022/07/23 14:34:36 - mmengine - INFO - Epoch(val) [91][120/310] eta: 0:00:35 time: 0.1858 data_time: 0.1131 memory: 1428 2022/07/23 14:34:41 - mmengine - INFO - Epoch(val) [91][140/310] eta: 0:00:40 time: 0.2387 data_time: 0.1633 memory: 1428 2022/07/23 14:34:45 - mmengine - INFO - Epoch(val) [91][160/310] eta: 0:00:28 time: 0.1883 data_time: 0.1080 memory: 1428 2022/07/23 14:34:49 - mmengine - INFO - Epoch(val) [91][180/310] eta: 0:00:32 time: 0.2462 data_time: 0.1706 memory: 1428 2022/07/23 14:34:53 - mmengine - INFO - Epoch(val) [91][200/310] eta: 0:00:19 time: 0.1754 data_time: 0.1013 memory: 1428 2022/07/23 14:34:58 - mmengine - INFO - Epoch(val) [91][220/310] eta: 0:00:20 time: 0.2262 data_time: 0.1491 memory: 1428 2022/07/23 14:35:01 - mmengine - INFO - Epoch(val) [91][240/310] eta: 0:00:13 time: 0.1931 data_time: 0.1139 memory: 1428 2022/07/23 14:35:06 - mmengine - INFO - Epoch(val) [91][260/310] eta: 0:00:12 time: 0.2431 data_time: 0.1653 memory: 1428 2022/07/23 14:35:10 - mmengine - INFO - Epoch(val) [91][280/310] eta: 0:00:05 time: 0.1908 data_time: 0.1063 memory: 1428 2022/07/23 14:35:14 - mmengine - INFO - Epoch(val) [91][300/310] eta: 0:00:02 time: 0.2154 data_time: 0.1418 memory: 1428 2022/07/23 14:35:18 - mmengine - INFO - Epoch(val) [91][310/310] acc/top1: 0.6673 acc/top5: 0.8663 acc/mean1: 0.6672 2022/07/23 14:35:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_89.pth is removed 2022/07/23 14:35:21 - mmengine - INFO - The best checkpoint with 0.6673 acc/top1 at 92 epoch is saved to best_acc/top1_epoch_92.pth. 2022/07/23 14:35:27 - mmengine - INFO - Epoch(train) [92][20/3757] lr: 1.0000e-04 eta: 2:14:30 time: 0.2767 data_time: 0.0799 memory: 6108 grad_norm: 9.1774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0487 loss: 1.0487 2022/07/23 14:35:31 - mmengine - INFO - Epoch(train) [92][40/3757] lr: 1.0000e-04 eta: 2:14:25 time: 0.2322 data_time: 0.0232 memory: 6108 grad_norm: 9.2700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1703 loss: 1.1703 2022/07/23 14:35:36 - mmengine - INFO - Epoch(train) [92][60/3757] lr: 1.0000e-04 eta: 2:14:20 time: 0.2377 data_time: 0.0256 memory: 6108 grad_norm: 9.5373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3750 loss: 1.3750 2022/07/23 14:35:41 - mmengine - INFO - Epoch(train) [92][80/3757] lr: 1.0000e-04 eta: 2:14:15 time: 0.2320 data_time: 0.0190 memory: 6108 grad_norm: 9.1913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0604 loss: 1.0604 2022/07/23 14:35:45 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 1.0000e-04 eta: 2:14:10 time: 0.2349 data_time: 0.0221 memory: 6108 grad_norm: 9.1489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/07/23 14:35:48 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:35:50 - mmengine - INFO - Epoch(train) [92][120/3757] lr: 1.0000e-04 eta: 2:14:06 time: 0.2321 data_time: 0.0217 memory: 6108 grad_norm: 9.2137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1273 loss: 1.1273 2022/07/23 14:35:55 - mmengine - INFO - Epoch(train) [92][140/3757] lr: 1.0000e-04 eta: 2:14:01 time: 0.2286 data_time: 0.0220 memory: 6108 grad_norm: 9.4061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/23 14:35:59 - mmengine - INFO - Epoch(train) [92][160/3757] lr: 1.0000e-04 eta: 2:13:56 time: 0.2298 data_time: 0.0225 memory: 6108 grad_norm: 9.5509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2356 loss: 1.2356 2022/07/23 14:36:04 - mmengine - INFO - Epoch(train) [92][180/3757] lr: 1.0000e-04 eta: 2:13:51 time: 0.2351 data_time: 0.0232 memory: 6108 grad_norm: 8.7683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/07/23 14:36:09 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 1.0000e-04 eta: 2:13:47 time: 0.2332 data_time: 0.0244 memory: 6108 grad_norm: 9.4112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2278 loss: 1.2278 2022/07/23 14:36:14 - mmengine - INFO - Epoch(train) [92][220/3757] lr: 1.0000e-04 eta: 2:13:42 time: 0.2335 data_time: 0.0244 memory: 6108 grad_norm: 9.6259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3580 loss: 1.3580 2022/07/23 14:36:18 - mmengine - INFO - Epoch(train) [92][240/3757] lr: 1.0000e-04 eta: 2:13:37 time: 0.2317 data_time: 0.0256 memory: 6108 grad_norm: 9.1233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/07/23 14:36:23 - mmengine - INFO - Epoch(train) [92][260/3757] lr: 1.0000e-04 eta: 2:13:32 time: 0.2338 data_time: 0.0217 memory: 6108 grad_norm: 8.7495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0259 loss: 1.0259 2022/07/23 14:36:28 - mmengine - INFO - Epoch(train) [92][280/3757] lr: 1.0000e-04 eta: 2:13:27 time: 0.2354 data_time: 0.0247 memory: 6108 grad_norm: 9.4534 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/07/23 14:36:32 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 1.0000e-04 eta: 2:13:23 time: 0.2396 data_time: 0.0246 memory: 6108 grad_norm: 9.3732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1294 loss: 1.1294 2022/07/23 14:36:37 - mmengine - INFO - Epoch(train) [92][320/3757] lr: 1.0000e-04 eta: 2:13:18 time: 0.2340 data_time: 0.0255 memory: 6108 grad_norm: 9.6177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0185 loss: 1.0185 2022/07/23 14:36:42 - mmengine - INFO - Epoch(train) [92][340/3757] lr: 1.0000e-04 eta: 2:13:13 time: 0.2287 data_time: 0.0207 memory: 6108 grad_norm: 9.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2311 loss: 1.2311 2022/07/23 14:36:46 - mmengine - INFO - Epoch(train) [92][360/3757] lr: 1.0000e-04 eta: 2:13:08 time: 0.2353 data_time: 0.0253 memory: 6108 grad_norm: 9.2036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0217 loss: 1.0217 2022/07/23 14:36:51 - mmengine - INFO - Epoch(train) [92][380/3757] lr: 1.0000e-04 eta: 2:13:03 time: 0.2482 data_time: 0.0203 memory: 6108 grad_norm: 9.0342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/07/23 14:36:56 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 1.0000e-04 eta: 2:12:59 time: 0.2307 data_time: 0.0242 memory: 6108 grad_norm: 9.1296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/07/23 14:37:01 - mmengine - INFO - Epoch(train) [92][420/3757] lr: 1.0000e-04 eta: 2:12:54 time: 0.2383 data_time: 0.0279 memory: 6108 grad_norm: 9.4334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2462 loss: 1.2462 2022/07/23 14:37:05 - mmengine - INFO - Epoch(train) [92][440/3757] lr: 1.0000e-04 eta: 2:12:49 time: 0.2264 data_time: 0.0213 memory: 6108 grad_norm: 8.9794 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2894 loss: 1.2894 2022/07/23 14:37:10 - mmengine - INFO - Epoch(train) [92][460/3757] lr: 1.0000e-04 eta: 2:12:44 time: 0.2361 data_time: 0.0243 memory: 6108 grad_norm: 9.1888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9895 loss: 0.9895 2022/07/23 14:37:15 - mmengine - INFO - Epoch(train) [92][480/3757] lr: 1.0000e-04 eta: 2:12:40 time: 0.2337 data_time: 0.0345 memory: 6108 grad_norm: 9.0299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8075 loss: 0.8075 2022/07/23 14:37:20 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 1.0000e-04 eta: 2:12:35 time: 0.2329 data_time: 0.0210 memory: 6108 grad_norm: 9.0848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/07/23 14:37:24 - mmengine - INFO - Epoch(train) [92][520/3757] lr: 1.0000e-04 eta: 2:12:30 time: 0.2350 data_time: 0.0206 memory: 6108 grad_norm: 9.1414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/07/23 14:37:29 - mmengine - INFO - Epoch(train) [92][540/3757] lr: 1.0000e-04 eta: 2:12:25 time: 0.2272 data_time: 0.0238 memory: 6108 grad_norm: 9.3724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1819 loss: 1.1819 2022/07/23 14:37:34 - mmengine - INFO - Epoch(train) [92][560/3757] lr: 1.0000e-04 eta: 2:12:20 time: 0.2340 data_time: 0.0215 memory: 6108 grad_norm: 9.0255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/07/23 14:37:38 - mmengine - INFO - Epoch(train) [92][580/3757] lr: 1.0000e-04 eta: 2:12:16 time: 0.2366 data_time: 0.0202 memory: 6108 grad_norm: 9.7048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/23 14:37:43 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 1.0000e-04 eta: 2:12:11 time: 0.2345 data_time: 0.0289 memory: 6108 grad_norm: 9.0140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/07/23 14:37:48 - mmengine - INFO - Epoch(train) [92][620/3757] lr: 1.0000e-04 eta: 2:12:06 time: 0.2290 data_time: 0.0246 memory: 6108 grad_norm: 9.6781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/07/23 14:37:53 - mmengine - INFO - Epoch(train) [92][640/3757] lr: 1.0000e-04 eta: 2:12:01 time: 0.2371 data_time: 0.0247 memory: 6108 grad_norm: 8.8827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/07/23 14:37:57 - mmengine - INFO - Epoch(train) [92][660/3757] lr: 1.0000e-04 eta: 2:11:56 time: 0.2338 data_time: 0.0223 memory: 6108 grad_norm: 9.4647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/23 14:38:02 - mmengine - INFO - Epoch(train) [92][680/3757] lr: 1.0000e-04 eta: 2:11:52 time: 0.2346 data_time: 0.0305 memory: 6108 grad_norm: 8.8915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0849 loss: 1.0849 2022/07/23 14:38:07 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 1.0000e-04 eta: 2:11:47 time: 0.2343 data_time: 0.0215 memory: 6108 grad_norm: 9.1305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2302 loss: 1.2302 2022/07/23 14:38:11 - mmengine - INFO - Epoch(train) [92][720/3757] lr: 1.0000e-04 eta: 2:11:42 time: 0.2301 data_time: 0.0225 memory: 6108 grad_norm: 9.1462 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3252 loss: 1.3252 2022/07/23 14:38:16 - mmengine - INFO - Epoch(train) [92][740/3757] lr: 1.0000e-04 eta: 2:11:37 time: 0.2325 data_time: 0.0264 memory: 6108 grad_norm: 8.9803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1247 loss: 1.1247 2022/07/23 14:38:21 - mmengine - INFO - Epoch(train) [92][760/3757] lr: 1.0000e-04 eta: 2:11:33 time: 0.2336 data_time: 0.0207 memory: 6108 grad_norm: 8.9201 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2854 loss: 1.2854 2022/07/23 14:38:25 - mmengine - INFO - Epoch(train) [92][780/3757] lr: 1.0000e-04 eta: 2:11:28 time: 0.2322 data_time: 0.0238 memory: 6108 grad_norm: 9.0419 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1752 loss: 1.1752 2022/07/23 14:38:30 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 1.0000e-04 eta: 2:11:23 time: 0.2341 data_time: 0.0212 memory: 6108 grad_norm: 9.4910 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2804 loss: 1.2804 2022/07/23 14:38:35 - mmengine - INFO - Epoch(train) [92][820/3757] lr: 1.0000e-04 eta: 2:11:18 time: 0.2377 data_time: 0.0241 memory: 6108 grad_norm: 9.2351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0348 loss: 1.0348 2022/07/23 14:38:40 - mmengine - INFO - Epoch(train) [92][840/3757] lr: 1.0000e-04 eta: 2:11:13 time: 0.2292 data_time: 0.0232 memory: 6108 grad_norm: 9.4751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/07/23 14:38:44 - mmengine - INFO - Epoch(train) [92][860/3757] lr: 1.0000e-04 eta: 2:11:09 time: 0.2280 data_time: 0.0200 memory: 6108 grad_norm: 8.8995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1597 loss: 1.1597 2022/07/23 14:38:49 - mmengine - INFO - Epoch(train) [92][880/3757] lr: 1.0000e-04 eta: 2:11:04 time: 0.2295 data_time: 0.0261 memory: 6108 grad_norm: 9.2924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9719 loss: 0.9719 2022/07/23 14:38:54 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 1.0000e-04 eta: 2:10:59 time: 0.2419 data_time: 0.0234 memory: 6108 grad_norm: 8.9291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1360 loss: 1.1360 2022/07/23 14:38:59 - mmengine - INFO - Epoch(train) [92][920/3757] lr: 1.0000e-04 eta: 2:10:54 time: 0.2459 data_time: 0.0240 memory: 6108 grad_norm: 9.0596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2571 loss: 1.2571 2022/07/23 14:39:03 - mmengine - INFO - Epoch(train) [92][940/3757] lr: 1.0000e-04 eta: 2:10:49 time: 0.2322 data_time: 0.0205 memory: 6108 grad_norm: 9.2625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/07/23 14:39:08 - mmengine - INFO - Epoch(train) [92][960/3757] lr: 1.0000e-04 eta: 2:10:45 time: 0.2304 data_time: 0.0244 memory: 6108 grad_norm: 9.2483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/23 14:39:13 - mmengine - INFO - Epoch(train) [92][980/3757] lr: 1.0000e-04 eta: 2:10:40 time: 0.2437 data_time: 0.0280 memory: 6108 grad_norm: 9.3031 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3689 loss: 1.3689 2022/07/23 14:39:18 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 1.0000e-04 eta: 2:10:35 time: 0.2435 data_time: 0.0214 memory: 6108 grad_norm: 9.1038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/07/23 14:39:23 - mmengine - INFO - Epoch(train) [92][1020/3757] lr: 1.0000e-04 eta: 2:10:30 time: 0.2465 data_time: 0.0255 memory: 6108 grad_norm: 9.0456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/07/23 14:39:27 - mmengine - INFO - Epoch(train) [92][1040/3757] lr: 1.0000e-04 eta: 2:10:26 time: 0.2261 data_time: 0.0229 memory: 6108 grad_norm: 9.4581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1319 loss: 1.1319 2022/07/23 14:39:32 - mmengine - INFO - Epoch(train) [92][1060/3757] lr: 1.0000e-04 eta: 2:10:21 time: 0.2456 data_time: 0.0289 memory: 6108 grad_norm: 9.2776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1049 loss: 1.1049 2022/07/23 14:39:37 - mmengine - INFO - Epoch(train) [92][1080/3757] lr: 1.0000e-04 eta: 2:10:16 time: 0.2444 data_time: 0.0306 memory: 6108 grad_norm: 9.3211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/23 14:39:42 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 1.0000e-04 eta: 2:10:11 time: 0.2340 data_time: 0.0221 memory: 6108 grad_norm: 8.9778 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9909 loss: 0.9909 2022/07/23 14:39:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:39:47 - mmengine - INFO - Epoch(train) [92][1120/3757] lr: 1.0000e-04 eta: 2:10:07 time: 0.2405 data_time: 0.0208 memory: 6108 grad_norm: 9.2017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/07/23 14:39:51 - mmengine - INFO - Epoch(train) [92][1140/3757] lr: 1.0000e-04 eta: 2:10:02 time: 0.2326 data_time: 0.0261 memory: 6108 grad_norm: 9.2766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/07/23 14:39:56 - mmengine - INFO - Epoch(train) [92][1160/3757] lr: 1.0000e-04 eta: 2:09:57 time: 0.2259 data_time: 0.0235 memory: 6108 grad_norm: 9.3849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3324 loss: 1.3324 2022/07/23 14:40:01 - mmengine - INFO - Epoch(train) [92][1180/3757] lr: 1.0000e-04 eta: 2:09:52 time: 0.2437 data_time: 0.0218 memory: 6108 grad_norm: 9.3561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0829 loss: 1.0829 2022/07/23 14:40:05 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 1.0000e-04 eta: 2:09:47 time: 0.2356 data_time: 0.0202 memory: 6108 grad_norm: 9.3257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2570 loss: 1.2570 2022/07/23 14:40:10 - mmengine - INFO - Epoch(train) [92][1220/3757] lr: 1.0000e-04 eta: 2:09:43 time: 0.2310 data_time: 0.0257 memory: 6108 grad_norm: 9.5326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3826 loss: 1.3826 2022/07/23 14:40:15 - mmengine - INFO - Epoch(train) [92][1240/3757] lr: 1.0000e-04 eta: 2:09:38 time: 0.2307 data_time: 0.0264 memory: 6108 grad_norm: 9.4478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/07/23 14:40:20 - mmengine - INFO - Epoch(train) [92][1260/3757] lr: 1.0000e-04 eta: 2:09:33 time: 0.2454 data_time: 0.0273 memory: 6108 grad_norm: 9.4585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/23 14:40:24 - mmengine - INFO - Epoch(train) [92][1280/3757] lr: 1.0000e-04 eta: 2:09:28 time: 0.2296 data_time: 0.0234 memory: 6108 grad_norm: 9.0603 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/07/23 14:40:29 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 1.0000e-04 eta: 2:09:23 time: 0.2336 data_time: 0.0199 memory: 6108 grad_norm: 8.8917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0386 loss: 1.0386 2022/07/23 14:40:34 - mmengine - INFO - Epoch(train) [92][1320/3757] lr: 1.0000e-04 eta: 2:09:19 time: 0.2337 data_time: 0.0217 memory: 6108 grad_norm: 9.3274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/07/23 14:40:38 - mmengine - INFO - Epoch(train) [92][1340/3757] lr: 1.0000e-04 eta: 2:09:14 time: 0.2303 data_time: 0.0288 memory: 6108 grad_norm: 9.3534 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9415 loss: 0.9415 2022/07/23 14:40:43 - mmengine - INFO - Epoch(train) [92][1360/3757] lr: 1.0000e-04 eta: 2:09:09 time: 0.2336 data_time: 0.0221 memory: 6108 grad_norm: 9.4695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/07/23 14:40:48 - mmengine - INFO - Epoch(train) [92][1380/3757] lr: 1.0000e-04 eta: 2:09:04 time: 0.2336 data_time: 0.0265 memory: 6108 grad_norm: 8.7911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/07/23 14:40:53 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 1.0000e-04 eta: 2:09:00 time: 0.2343 data_time: 0.0253 memory: 6108 grad_norm: 9.6088 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3660 loss: 1.3660 2022/07/23 14:40:57 - mmengine - INFO - Epoch(train) [92][1420/3757] lr: 1.0000e-04 eta: 2:08:55 time: 0.2286 data_time: 0.0262 memory: 6108 grad_norm: 9.3608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9526 loss: 0.9526 2022/07/23 14:41:02 - mmengine - INFO - Epoch(train) [92][1440/3757] lr: 1.0000e-04 eta: 2:08:50 time: 0.2421 data_time: 0.0235 memory: 6108 grad_norm: 9.2076 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/07/23 14:41:07 - mmengine - INFO - Epoch(train) [92][1460/3757] lr: 1.0000e-04 eta: 2:08:45 time: 0.2308 data_time: 0.0216 memory: 6108 grad_norm: 9.0305 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2272 loss: 1.2272 2022/07/23 14:41:12 - mmengine - INFO - Epoch(train) [92][1480/3757] lr: 1.0000e-04 eta: 2:08:40 time: 0.2471 data_time: 0.0224 memory: 6108 grad_norm: 9.3218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/07/23 14:41:16 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 1.0000e-04 eta: 2:08:36 time: 0.2332 data_time: 0.0226 memory: 6108 grad_norm: 9.1509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/07/23 14:41:21 - mmengine - INFO - Epoch(train) [92][1520/3757] lr: 1.0000e-04 eta: 2:08:31 time: 0.2325 data_time: 0.0242 memory: 6108 grad_norm: 9.7982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3305 loss: 1.3305 2022/07/23 14:41:26 - mmengine - INFO - Epoch(train) [92][1540/3757] lr: 1.0000e-04 eta: 2:08:26 time: 0.2301 data_time: 0.0287 memory: 6108 grad_norm: 9.1729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2027 loss: 1.2027 2022/07/23 14:41:30 - mmengine - INFO - Epoch(train) [92][1560/3757] lr: 1.0000e-04 eta: 2:08:21 time: 0.2399 data_time: 0.0196 memory: 6108 grad_norm: 9.2271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/07/23 14:41:35 - mmengine - INFO - Epoch(train) [92][1580/3757] lr: 1.0000e-04 eta: 2:08:16 time: 0.2352 data_time: 0.0224 memory: 6108 grad_norm: 9.6483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3191 loss: 1.3191 2022/07/23 14:41:40 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 1.0000e-04 eta: 2:08:12 time: 0.2367 data_time: 0.0257 memory: 6108 grad_norm: 9.0206 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/07/23 14:41:45 - mmengine - INFO - Epoch(train) [92][1620/3757] lr: 1.0000e-04 eta: 2:08:07 time: 0.2280 data_time: 0.0269 memory: 6108 grad_norm: 9.2245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/07/23 14:41:49 - mmengine - INFO - Epoch(train) [92][1640/3757] lr: 1.0000e-04 eta: 2:08:02 time: 0.2303 data_time: 0.0276 memory: 6108 grad_norm: 9.6949 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0888 loss: 1.0888 2022/07/23 14:41:54 - mmengine - INFO - Epoch(train) [92][1660/3757] lr: 1.0000e-04 eta: 2:07:57 time: 0.2405 data_time: 0.0322 memory: 6108 grad_norm: 8.8527 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/07/23 14:41:59 - mmengine - INFO - Epoch(train) [92][1680/3757] lr: 1.0000e-04 eta: 2:07:53 time: 0.2335 data_time: 0.0247 memory: 6108 grad_norm: 9.4094 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/07/23 14:42:03 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 1.0000e-04 eta: 2:07:48 time: 0.2293 data_time: 0.0262 memory: 6108 grad_norm: 9.3544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/07/23 14:42:08 - mmengine - INFO - Epoch(train) [92][1720/3757] lr: 1.0000e-04 eta: 2:07:43 time: 0.2302 data_time: 0.0316 memory: 6108 grad_norm: 9.1826 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1297 loss: 1.1297 2022/07/23 14:42:13 - mmengine - INFO - Epoch(train) [92][1740/3757] lr: 1.0000e-04 eta: 2:07:38 time: 0.2321 data_time: 0.0244 memory: 6108 grad_norm: 9.4068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2067 loss: 1.2067 2022/07/23 14:42:17 - mmengine - INFO - Epoch(train) [92][1760/3757] lr: 1.0000e-04 eta: 2:07:33 time: 0.2296 data_time: 0.0235 memory: 6108 grad_norm: 8.9451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/07/23 14:42:22 - mmengine - INFO - Epoch(train) [92][1780/3757] lr: 1.0000e-04 eta: 2:07:29 time: 0.2371 data_time: 0.0224 memory: 6108 grad_norm: 9.4601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0602 loss: 1.0602 2022/07/23 14:42:27 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 1.0000e-04 eta: 2:07:24 time: 0.2310 data_time: 0.0287 memory: 6108 grad_norm: 9.5079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/07/23 14:42:32 - mmengine - INFO - Epoch(train) [92][1820/3757] lr: 1.0000e-04 eta: 2:07:19 time: 0.2517 data_time: 0.0236 memory: 6108 grad_norm: 9.6379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0016 loss: 1.0016 2022/07/23 14:42:36 - mmengine - INFO - Epoch(train) [92][1840/3757] lr: 1.0000e-04 eta: 2:07:14 time: 0.2305 data_time: 0.0193 memory: 6108 grad_norm: 9.2931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1247 loss: 1.1247 2022/07/23 14:42:41 - mmengine - INFO - Epoch(train) [92][1860/3757] lr: 1.0000e-04 eta: 2:07:09 time: 0.2380 data_time: 0.0228 memory: 6108 grad_norm: 9.2026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/07/23 14:42:46 - mmengine - INFO - Epoch(train) [92][1880/3757] lr: 1.0000e-04 eta: 2:07:05 time: 0.2327 data_time: 0.0214 memory: 6108 grad_norm: 9.2890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3194 loss: 1.3194 2022/07/23 14:42:51 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 1.0000e-04 eta: 2:07:00 time: 0.2391 data_time: 0.0243 memory: 6108 grad_norm: 9.1991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/07/23 14:42:55 - mmengine - INFO - Epoch(train) [92][1920/3757] lr: 1.0000e-04 eta: 2:06:55 time: 0.2370 data_time: 0.0253 memory: 6108 grad_norm: 9.1469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/23 14:43:00 - mmengine - INFO - Epoch(train) [92][1940/3757] lr: 1.0000e-04 eta: 2:06:50 time: 0.2282 data_time: 0.0189 memory: 6108 grad_norm: 9.1869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2872 loss: 1.2872 2022/07/23 14:43:05 - mmengine - INFO - Epoch(train) [92][1960/3757] lr: 1.0000e-04 eta: 2:06:46 time: 0.2311 data_time: 0.0268 memory: 6108 grad_norm: 9.2149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0189 loss: 1.0189 2022/07/23 14:43:09 - mmengine - INFO - Epoch(train) [92][1980/3757] lr: 1.0000e-04 eta: 2:06:41 time: 0.2343 data_time: 0.0229 memory: 6108 grad_norm: 9.0858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/07/23 14:43:14 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 1.0000e-04 eta: 2:06:36 time: 0.2341 data_time: 0.0238 memory: 6108 grad_norm: 8.7907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9876 loss: 0.9876 2022/07/23 14:43:19 - mmengine - INFO - Epoch(train) [92][2020/3757] lr: 1.0000e-04 eta: 2:06:31 time: 0.2323 data_time: 0.0197 memory: 6108 grad_norm: 9.1486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/07/23 14:43:23 - mmengine - INFO - Epoch(train) [92][2040/3757] lr: 1.0000e-04 eta: 2:06:26 time: 0.2283 data_time: 0.0213 memory: 6108 grad_norm: 9.4533 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1747 loss: 1.1747 2022/07/23 14:43:28 - mmengine - INFO - Epoch(train) [92][2060/3757] lr: 1.0000e-04 eta: 2:06:22 time: 0.2308 data_time: 0.0186 memory: 6108 grad_norm: 9.6127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2993 loss: 1.2993 2022/07/23 14:43:33 - mmengine - INFO - Epoch(train) [92][2080/3757] lr: 1.0000e-04 eta: 2:06:17 time: 0.2420 data_time: 0.0188 memory: 6108 grad_norm: 9.0706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/07/23 14:43:38 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 1.0000e-04 eta: 2:06:12 time: 0.2359 data_time: 0.0319 memory: 6108 grad_norm: 8.9421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2020 loss: 1.2020 2022/07/23 14:43:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:43:42 - mmengine - INFO - Epoch(train) [92][2120/3757] lr: 1.0000e-04 eta: 2:06:07 time: 0.2305 data_time: 0.0235 memory: 6108 grad_norm: 9.1230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9766 loss: 0.9766 2022/07/23 14:43:47 - mmengine - INFO - Epoch(train) [92][2140/3757] lr: 1.0000e-04 eta: 2:06:02 time: 0.2304 data_time: 0.0204 memory: 6108 grad_norm: 9.4553 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0789 loss: 1.0789 2022/07/23 14:43:52 - mmengine - INFO - Epoch(train) [92][2160/3757] lr: 1.0000e-04 eta: 2:05:58 time: 0.2371 data_time: 0.0244 memory: 6108 grad_norm: 9.2007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9031 loss: 0.9031 2022/07/23 14:43:56 - mmengine - INFO - Epoch(train) [92][2180/3757] lr: 1.0000e-04 eta: 2:05:53 time: 0.2322 data_time: 0.0292 memory: 6108 grad_norm: 9.2728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1563 loss: 1.1563 2022/07/23 14:44:01 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 1.0000e-04 eta: 2:05:48 time: 0.2291 data_time: 0.0229 memory: 6108 grad_norm: 9.2304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/07/23 14:44:06 - mmengine - INFO - Epoch(train) [92][2220/3757] lr: 1.0000e-04 eta: 2:05:43 time: 0.2301 data_time: 0.0226 memory: 6108 grad_norm: 9.2427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/07/23 14:44:10 - mmengine - INFO - Epoch(train) [92][2240/3757] lr: 1.0000e-04 eta: 2:05:39 time: 0.2356 data_time: 0.0242 memory: 6108 grad_norm: 8.9771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1641 loss: 1.1641 2022/07/23 14:44:15 - mmengine - INFO - Epoch(train) [92][2260/3757] lr: 1.0000e-04 eta: 2:05:34 time: 0.2281 data_time: 0.0265 memory: 6108 grad_norm: 8.8820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9762 loss: 0.9762 2022/07/23 14:44:21 - mmengine - INFO - Epoch(train) [92][2280/3757] lr: 1.0000e-04 eta: 2:05:29 time: 0.2775 data_time: 0.0187 memory: 6108 grad_norm: 9.4208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2863 loss: 1.2863 2022/07/23 14:44:25 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 1.0000e-04 eta: 2:05:24 time: 0.2220 data_time: 0.0196 memory: 6108 grad_norm: 9.4329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/07/23 14:44:30 - mmengine - INFO - Epoch(train) [92][2320/3757] lr: 1.0000e-04 eta: 2:05:19 time: 0.2369 data_time: 0.0222 memory: 6108 grad_norm: 9.3154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/07/23 14:44:34 - mmengine - INFO - Epoch(train) [92][2340/3757] lr: 1.0000e-04 eta: 2:05:15 time: 0.2336 data_time: 0.0173 memory: 6108 grad_norm: 9.5031 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2836 loss: 1.2836 2022/07/23 14:44:39 - mmengine - INFO - Epoch(train) [92][2360/3757] lr: 1.0000e-04 eta: 2:05:10 time: 0.2307 data_time: 0.0243 memory: 6108 grad_norm: 9.0779 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/07/23 14:44:44 - mmengine - INFO - Epoch(train) [92][2380/3757] lr: 1.0000e-04 eta: 2:05:05 time: 0.2459 data_time: 0.0219 memory: 6108 grad_norm: 8.8951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/07/23 14:44:49 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 1.0000e-04 eta: 2:05:00 time: 0.2304 data_time: 0.0205 memory: 6108 grad_norm: 9.4688 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1297 loss: 1.1297 2022/07/23 14:44:53 - mmengine - INFO - Epoch(train) [92][2420/3757] lr: 1.0000e-04 eta: 2:04:56 time: 0.2374 data_time: 0.0254 memory: 6108 grad_norm: 9.3722 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2600 loss: 1.2600 2022/07/23 14:44:58 - mmengine - INFO - Epoch(train) [92][2440/3757] lr: 1.0000e-04 eta: 2:04:51 time: 0.2314 data_time: 0.0260 memory: 6108 grad_norm: 8.7219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/07/23 14:45:03 - mmengine - INFO - Epoch(train) [92][2460/3757] lr: 1.0000e-04 eta: 2:04:46 time: 0.2424 data_time: 0.0218 memory: 6108 grad_norm: 8.6782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1915 loss: 1.1915 2022/07/23 14:45:08 - mmengine - INFO - Epoch(train) [92][2480/3757] lr: 1.0000e-04 eta: 2:04:41 time: 0.2304 data_time: 0.0244 memory: 6108 grad_norm: 8.9771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1589 loss: 1.1589 2022/07/23 14:45:12 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 1.0000e-04 eta: 2:04:36 time: 0.2364 data_time: 0.0204 memory: 6108 grad_norm: 9.4436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2238 loss: 1.2238 2022/07/23 14:45:17 - mmengine - INFO - Epoch(train) [92][2520/3757] lr: 1.0000e-04 eta: 2:04:32 time: 0.2313 data_time: 0.0190 memory: 6108 grad_norm: 9.1925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/07/23 14:45:22 - mmengine - INFO - Epoch(train) [92][2540/3757] lr: 1.0000e-04 eta: 2:04:27 time: 0.2408 data_time: 0.0215 memory: 6108 grad_norm: 9.3210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1156 loss: 1.1156 2022/07/23 14:45:27 - mmengine - INFO - Epoch(train) [92][2560/3757] lr: 1.0000e-04 eta: 2:04:22 time: 0.2294 data_time: 0.0271 memory: 6108 grad_norm: 9.2537 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1500 loss: 1.1500 2022/07/23 14:45:31 - mmengine - INFO - Epoch(train) [92][2580/3757] lr: 1.0000e-04 eta: 2:04:17 time: 0.2314 data_time: 0.0224 memory: 6108 grad_norm: 9.1333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0628 loss: 1.0628 2022/07/23 14:45:36 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 1.0000e-04 eta: 2:04:12 time: 0.2293 data_time: 0.0261 memory: 6108 grad_norm: 8.9116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1158 loss: 1.1158 2022/07/23 14:45:41 - mmengine - INFO - Epoch(train) [92][2620/3757] lr: 1.0000e-04 eta: 2:04:08 time: 0.2378 data_time: 0.0236 memory: 6108 grad_norm: 9.0930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/07/23 14:45:45 - mmengine - INFO - Epoch(train) [92][2640/3757] lr: 1.0000e-04 eta: 2:04:03 time: 0.2275 data_time: 0.0178 memory: 6108 grad_norm: 9.5509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1392 loss: 1.1392 2022/07/23 14:45:50 - mmengine - INFO - Epoch(train) [92][2660/3757] lr: 1.0000e-04 eta: 2:03:58 time: 0.2294 data_time: 0.0229 memory: 6108 grad_norm: 9.5180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2669 loss: 1.2669 2022/07/23 14:45:54 - mmengine - INFO - Epoch(train) [92][2680/3757] lr: 1.0000e-04 eta: 2:03:53 time: 0.2312 data_time: 0.0231 memory: 6108 grad_norm: 8.7789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9493 loss: 0.9493 2022/07/23 14:45:59 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 1.0000e-04 eta: 2:03:49 time: 0.2330 data_time: 0.0197 memory: 6108 grad_norm: 8.7942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9674 loss: 0.9674 2022/07/23 14:46:04 - mmengine - INFO - Epoch(train) [92][2720/3757] lr: 1.0000e-04 eta: 2:03:44 time: 0.2315 data_time: 0.0219 memory: 6108 grad_norm: 9.3407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2239 loss: 1.2239 2022/07/23 14:46:09 - mmengine - INFO - Epoch(train) [92][2740/3757] lr: 1.0000e-04 eta: 2:03:39 time: 0.2333 data_time: 0.0220 memory: 6108 grad_norm: 9.2261 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0498 loss: 1.0498 2022/07/23 14:46:13 - mmengine - INFO - Epoch(train) [92][2760/3757] lr: 1.0000e-04 eta: 2:03:34 time: 0.2304 data_time: 0.0203 memory: 6108 grad_norm: 9.2548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/07/23 14:46:18 - mmengine - INFO - Epoch(train) [92][2780/3757] lr: 1.0000e-04 eta: 2:03:29 time: 0.2340 data_time: 0.0221 memory: 6108 grad_norm: 9.5642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/07/23 14:46:23 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 1.0000e-04 eta: 2:03:25 time: 0.2322 data_time: 0.0243 memory: 6108 grad_norm: 9.2042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9286 loss: 0.9286 2022/07/23 14:46:27 - mmengine - INFO - Epoch(train) [92][2820/3757] lr: 1.0000e-04 eta: 2:03:20 time: 0.2324 data_time: 0.0297 memory: 6108 grad_norm: 9.2834 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0490 loss: 1.0490 2022/07/23 14:46:32 - mmengine - INFO - Epoch(train) [92][2840/3757] lr: 1.0000e-04 eta: 2:03:15 time: 0.2343 data_time: 0.0208 memory: 6108 grad_norm: 9.6210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2273 loss: 1.2273 2022/07/23 14:46:37 - mmengine - INFO - Epoch(train) [92][2860/3757] lr: 1.0000e-04 eta: 2:03:10 time: 0.2270 data_time: 0.0230 memory: 6108 grad_norm: 8.9191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1137 loss: 1.1137 2022/07/23 14:46:41 - mmengine - INFO - Epoch(train) [92][2880/3757] lr: 1.0000e-04 eta: 2:03:05 time: 0.2358 data_time: 0.0224 memory: 6108 grad_norm: 9.3180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/07/23 14:46:46 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 1.0000e-04 eta: 2:03:01 time: 0.2325 data_time: 0.0231 memory: 6108 grad_norm: 9.4046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0993 loss: 1.0993 2022/07/23 14:46:51 - mmengine - INFO - Epoch(train) [92][2920/3757] lr: 1.0000e-04 eta: 2:02:56 time: 0.2363 data_time: 0.0291 memory: 6108 grad_norm: 9.3938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0486 loss: 1.0486 2022/07/23 14:46:55 - mmengine - INFO - Epoch(train) [92][2940/3757] lr: 1.0000e-04 eta: 2:02:51 time: 0.2280 data_time: 0.0207 memory: 6108 grad_norm: 9.4084 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2336 loss: 1.2336 2022/07/23 14:47:00 - mmengine - INFO - Epoch(train) [92][2960/3757] lr: 1.0000e-04 eta: 2:02:46 time: 0.2497 data_time: 0.0178 memory: 6108 grad_norm: 8.8390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9111 loss: 0.9111 2022/07/23 14:47:05 - mmengine - INFO - Epoch(train) [92][2980/3757] lr: 1.0000e-04 eta: 2:02:42 time: 0.2319 data_time: 0.0312 memory: 6108 grad_norm: 9.6486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/07/23 14:47:10 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 1.0000e-04 eta: 2:02:37 time: 0.2308 data_time: 0.0170 memory: 6108 grad_norm: 9.4944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2995 loss: 1.2995 2022/07/23 14:47:14 - mmengine - INFO - Epoch(train) [92][3020/3757] lr: 1.0000e-04 eta: 2:02:32 time: 0.2396 data_time: 0.0265 memory: 6108 grad_norm: 9.3704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/07/23 14:47:19 - mmengine - INFO - Epoch(train) [92][3040/3757] lr: 1.0000e-04 eta: 2:02:27 time: 0.2338 data_time: 0.0257 memory: 6108 grad_norm: 9.3689 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/07/23 14:47:24 - mmengine - INFO - Epoch(train) [92][3060/3757] lr: 1.0000e-04 eta: 2:02:22 time: 0.2300 data_time: 0.0217 memory: 6108 grad_norm: 9.3383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1663 loss: 1.1663 2022/07/23 14:47:29 - mmengine - INFO - Epoch(train) [92][3080/3757] lr: 1.0000e-04 eta: 2:02:18 time: 0.2348 data_time: 0.0230 memory: 6108 grad_norm: 9.1618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/07/23 14:47:33 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 1.0000e-04 eta: 2:02:13 time: 0.2373 data_time: 0.0256 memory: 6108 grad_norm: 8.9869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/07/23 14:47:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:47:38 - mmengine - INFO - Epoch(train) [92][3120/3757] lr: 1.0000e-04 eta: 2:02:08 time: 0.2315 data_time: 0.0215 memory: 6108 grad_norm: 9.0081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1208 loss: 1.1208 2022/07/23 14:47:43 - mmengine - INFO - Epoch(train) [92][3140/3757] lr: 1.0000e-04 eta: 2:02:03 time: 0.2318 data_time: 0.0213 memory: 6108 grad_norm: 9.2723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1576 loss: 1.1576 2022/07/23 14:47:47 - mmengine - INFO - Epoch(train) [92][3160/3757] lr: 1.0000e-04 eta: 2:01:59 time: 0.2339 data_time: 0.0255 memory: 6108 grad_norm: 9.2889 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2469 loss: 1.2469 2022/07/23 14:47:52 - mmengine - INFO - Epoch(train) [92][3180/3757] lr: 1.0000e-04 eta: 2:01:54 time: 0.2355 data_time: 0.0219 memory: 6108 grad_norm: 9.3939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0926 loss: 1.0926 2022/07/23 14:47:57 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 1.0000e-04 eta: 2:01:49 time: 0.2407 data_time: 0.0202 memory: 6108 grad_norm: 9.1114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/07/23 14:48:02 - mmengine - INFO - Epoch(train) [92][3220/3757] lr: 1.0000e-04 eta: 2:01:44 time: 0.2299 data_time: 0.0242 memory: 6108 grad_norm: 9.5210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2768 loss: 1.2768 2022/07/23 14:48:06 - mmengine - INFO - Epoch(train) [92][3240/3757] lr: 1.0000e-04 eta: 2:01:39 time: 0.2335 data_time: 0.0190 memory: 6108 grad_norm: 9.4365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4799 loss: 1.4799 2022/07/23 14:48:11 - mmengine - INFO - Epoch(train) [92][3260/3757] lr: 1.0000e-04 eta: 2:01:35 time: 0.2358 data_time: 0.0203 memory: 6108 grad_norm: 9.2007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/07/23 14:48:16 - mmengine - INFO - Epoch(train) [92][3280/3757] lr: 1.0000e-04 eta: 2:01:30 time: 0.2348 data_time: 0.0248 memory: 6108 grad_norm: 9.5245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/07/23 14:48:21 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 1.0000e-04 eta: 2:01:25 time: 0.2498 data_time: 0.0231 memory: 6108 grad_norm: 8.8188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0888 loss: 1.0888 2022/07/23 14:48:25 - mmengine - INFO - Epoch(train) [92][3320/3757] lr: 1.0000e-04 eta: 2:01:20 time: 0.2293 data_time: 0.0174 memory: 6108 grad_norm: 9.5641 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2944 loss: 1.2944 2022/07/23 14:48:30 - mmengine - INFO - Epoch(train) [92][3340/3757] lr: 1.0000e-04 eta: 2:01:15 time: 0.2331 data_time: 0.0284 memory: 6108 grad_norm: 9.6102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/07/23 14:48:35 - mmengine - INFO - Epoch(train) [92][3360/3757] lr: 1.0000e-04 eta: 2:01:11 time: 0.2354 data_time: 0.0197 memory: 6108 grad_norm: 9.2457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/07/23 14:48:40 - mmengine - INFO - Epoch(train) [92][3380/3757] lr: 1.0000e-04 eta: 2:01:06 time: 0.2343 data_time: 0.0263 memory: 6108 grad_norm: 9.4031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1739 loss: 1.1739 2022/07/23 14:48:44 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 1.0000e-04 eta: 2:01:01 time: 0.2420 data_time: 0.0273 memory: 6108 grad_norm: 9.4519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2640 loss: 1.2640 2022/07/23 14:48:49 - mmengine - INFO - Epoch(train) [92][3420/3757] lr: 1.0000e-04 eta: 2:00:56 time: 0.2290 data_time: 0.0222 memory: 6108 grad_norm: 9.7728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0970 loss: 1.0970 2022/07/23 14:48:54 - mmengine - INFO - Epoch(train) [92][3440/3757] lr: 1.0000e-04 eta: 2:00:52 time: 0.2356 data_time: 0.0209 memory: 6108 grad_norm: 9.2055 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8715 loss: 0.8715 2022/07/23 14:48:59 - mmengine - INFO - Epoch(train) [92][3460/3757] lr: 1.0000e-04 eta: 2:00:47 time: 0.2374 data_time: 0.0240 memory: 6108 grad_norm: 9.4379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2282 loss: 1.2282 2022/07/23 14:49:03 - mmengine - INFO - Epoch(train) [92][3480/3757] lr: 1.0000e-04 eta: 2:00:42 time: 0.2362 data_time: 0.0213 memory: 6108 grad_norm: 9.2492 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2063 loss: 1.2063 2022/07/23 14:49:08 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 1.0000e-04 eta: 2:00:37 time: 0.2332 data_time: 0.0228 memory: 6108 grad_norm: 9.3942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/07/23 14:49:13 - mmengine - INFO - Epoch(train) [92][3520/3757] lr: 1.0000e-04 eta: 2:00:32 time: 0.2289 data_time: 0.0236 memory: 6108 grad_norm: 9.6960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/07/23 14:49:17 - mmengine - INFO - Epoch(train) [92][3540/3757] lr: 1.0000e-04 eta: 2:00:28 time: 0.2332 data_time: 0.0228 memory: 6108 grad_norm: 9.1890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9346 loss: 0.9346 2022/07/23 14:49:22 - mmengine - INFO - Epoch(train) [92][3560/3757] lr: 1.0000e-04 eta: 2:00:23 time: 0.2417 data_time: 0.0203 memory: 6108 grad_norm: 9.0819 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1468 loss: 1.1468 2022/07/23 14:49:27 - mmengine - INFO - Epoch(train) [92][3580/3757] lr: 1.0000e-04 eta: 2:00:18 time: 0.2436 data_time: 0.0275 memory: 6108 grad_norm: 9.7750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/07/23 14:49:32 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 1.0000e-04 eta: 2:00:13 time: 0.2253 data_time: 0.0224 memory: 6108 grad_norm: 9.1325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/07/23 14:49:36 - mmengine - INFO - Epoch(train) [92][3620/3757] lr: 1.0000e-04 eta: 2:00:09 time: 0.2400 data_time: 0.0242 memory: 6108 grad_norm: 9.1191 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/07/23 14:49:41 - mmengine - INFO - Epoch(train) [92][3640/3757] lr: 1.0000e-04 eta: 2:00:04 time: 0.2378 data_time: 0.0208 memory: 6108 grad_norm: 9.2338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/07/23 14:49:46 - mmengine - INFO - Epoch(train) [92][3660/3757] lr: 1.0000e-04 eta: 1:59:59 time: 0.2246 data_time: 0.0220 memory: 6108 grad_norm: 9.3580 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2859 loss: 1.2859 2022/07/23 14:49:50 - mmengine - INFO - Epoch(train) [92][3680/3757] lr: 1.0000e-04 eta: 1:59:54 time: 0.2352 data_time: 0.0360 memory: 6108 grad_norm: 8.9926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7786 loss: 0.7786 2022/07/23 14:49:55 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 1.0000e-04 eta: 1:59:49 time: 0.2497 data_time: 0.0478 memory: 6108 grad_norm: 9.2192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2669 loss: 1.2669 2022/07/23 14:50:00 - mmengine - INFO - Epoch(train) [92][3720/3757] lr: 1.0000e-04 eta: 1:59:45 time: 0.2273 data_time: 0.0208 memory: 6108 grad_norm: 9.6532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3691 loss: 1.3691 2022/07/23 14:50:05 - mmengine - INFO - Epoch(train) [92][3740/3757] lr: 1.0000e-04 eta: 1:59:40 time: 0.2282 data_time: 0.0253 memory: 6108 grad_norm: 9.4277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9754 loss: 0.9754 2022/07/23 14:50:08 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:50:08 - mmengine - INFO - Epoch(train) [92][3757/3757] lr: 1.0000e-04 eta: 1:59:40 time: 0.2045 data_time: 0.0194 memory: 6108 grad_norm: 9.6314 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2785 loss: 1.2785 2022/07/23 14:50:14 - mmengine - INFO - Epoch(val) [92][20/310] eta: 0:01:22 time: 0.2860 data_time: 0.2033 memory: 1428 2022/07/23 14:50:18 - mmengine - INFO - Epoch(val) [92][40/310] eta: 0:00:50 time: 0.1856 data_time: 0.1096 memory: 1428 2022/07/23 14:50:22 - mmengine - INFO - Epoch(val) [92][60/310] eta: 0:00:55 time: 0.2216 data_time: 0.1466 memory: 1428 2022/07/23 14:50:26 - mmengine - INFO - Epoch(val) [92][80/310] eta: 0:00:44 time: 0.1917 data_time: 0.1152 memory: 1428 2022/07/23 14:50:31 - mmengine - INFO - Epoch(val) [92][100/310] eta: 0:00:49 time: 0.2356 data_time: 0.1598 memory: 1428 2022/07/23 14:50:34 - mmengine - INFO - Epoch(val) [92][120/310] eta: 0:00:37 time: 0.1948 data_time: 0.1121 memory: 1428 2022/07/23 14:50:39 - mmengine - INFO - Epoch(val) [92][140/310] eta: 0:00:39 time: 0.2344 data_time: 0.1607 memory: 1428 2022/07/23 14:50:43 - mmengine - INFO - Epoch(val) [92][160/310] eta: 0:00:29 time: 0.1978 data_time: 0.1212 memory: 1428 2022/07/23 14:50:48 - mmengine - INFO - Epoch(val) [92][180/310] eta: 0:00:29 time: 0.2282 data_time: 0.1514 memory: 1428 2022/07/23 14:50:51 - mmengine - INFO - Epoch(val) [92][200/310] eta: 0:00:20 time: 0.1880 data_time: 0.1135 memory: 1428 2022/07/23 14:50:56 - mmengine - INFO - Epoch(val) [92][220/310] eta: 0:00:20 time: 0.2292 data_time: 0.1558 memory: 1428 2022/07/23 14:51:00 - mmengine - INFO - Epoch(val) [92][240/310] eta: 0:00:13 time: 0.1876 data_time: 0.1130 memory: 1428 2022/07/23 14:51:05 - mmengine - INFO - Epoch(val) [92][260/310] eta: 0:00:12 time: 0.2469 data_time: 0.1745 memory: 1428 2022/07/23 14:51:08 - mmengine - INFO - Epoch(val) [92][280/310] eta: 0:00:05 time: 0.1820 data_time: 0.1086 memory: 1428 2022/07/23 14:51:13 - mmengine - INFO - Epoch(val) [92][300/310] eta: 0:00:02 time: 0.2282 data_time: 0.1555 memory: 1428 2022/07/23 14:51:17 - mmengine - INFO - Epoch(val) [92][310/310] acc/top1: 0.6676 acc/top5: 0.8668 acc/mean1: 0.6675 2022/07/23 14:51:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_92.pth is removed 2022/07/23 14:51:19 - mmengine - INFO - The best checkpoint with 0.6676 acc/top1 at 93 epoch is saved to best_acc/top1_epoch_93.pth. 2022/07/23 14:51:25 - mmengine - INFO - Epoch(train) [93][20/3757] lr: 1.0000e-04 eta: 1:59:31 time: 0.2803 data_time: 0.0836 memory: 6108 grad_norm: 9.6403 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2893 loss: 1.2893 2022/07/23 14:51:30 - mmengine - INFO - Epoch(train) [93][40/3757] lr: 1.0000e-04 eta: 1:59:26 time: 0.2366 data_time: 0.0330 memory: 6108 grad_norm: 9.0242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/07/23 14:51:35 - mmengine - INFO - Epoch(train) [93][60/3757] lr: 1.0000e-04 eta: 1:59:21 time: 0.2448 data_time: 0.0247 memory: 6108 grad_norm: 9.4465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1181 loss: 1.1181 2022/07/23 14:51:39 - mmengine - INFO - Epoch(train) [93][80/3757] lr: 1.0000e-04 eta: 1:59:16 time: 0.2309 data_time: 0.0204 memory: 6108 grad_norm: 9.3440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1028 loss: 1.1028 2022/07/23 14:51:44 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 1.0000e-04 eta: 1:59:12 time: 0.2400 data_time: 0.0243 memory: 6108 grad_norm: 9.1797 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1453 loss: 1.1453 2022/07/23 14:51:49 - mmengine - INFO - Epoch(train) [93][120/3757] lr: 1.0000e-04 eta: 1:59:07 time: 0.2308 data_time: 0.0247 memory: 6108 grad_norm: 9.0094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/07/23 14:51:54 - mmengine - INFO - Epoch(train) [93][140/3757] lr: 1.0000e-04 eta: 1:59:02 time: 0.2429 data_time: 0.0232 memory: 6108 grad_norm: 9.5475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0995 loss: 1.0995 2022/07/23 14:51:58 - mmengine - INFO - Epoch(train) [93][160/3757] lr: 1.0000e-04 eta: 1:58:57 time: 0.2327 data_time: 0.0209 memory: 6108 grad_norm: 9.1253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0305 loss: 1.0305 2022/07/23 14:52:03 - mmengine - INFO - Epoch(train) [93][180/3757] lr: 1.0000e-04 eta: 1:58:53 time: 0.2420 data_time: 0.0263 memory: 6108 grad_norm: 9.4893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1339 loss: 1.1339 2022/07/23 14:52:08 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 1.0000e-04 eta: 1:58:48 time: 0.2310 data_time: 0.0199 memory: 6108 grad_norm: 9.0055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1431 loss: 1.1431 2022/07/23 14:52:13 - mmengine - INFO - Epoch(train) [93][220/3757] lr: 1.0000e-04 eta: 1:58:43 time: 0.2494 data_time: 0.0221 memory: 6108 grad_norm: 8.8097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/07/23 14:52:17 - mmengine - INFO - Epoch(train) [93][240/3757] lr: 1.0000e-04 eta: 1:58:38 time: 0.2276 data_time: 0.0282 memory: 6108 grad_norm: 9.2415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2161 loss: 1.2161 2022/07/23 14:52:22 - mmengine - INFO - Epoch(train) [93][260/3757] lr: 1.0000e-04 eta: 1:58:33 time: 0.2307 data_time: 0.0228 memory: 6108 grad_norm: 9.1812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1885 loss: 1.1885 2022/07/23 14:52:27 - mmengine - INFO - Epoch(train) [93][280/3757] lr: 1.0000e-04 eta: 1:58:29 time: 0.2302 data_time: 0.0215 memory: 6108 grad_norm: 9.3153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/07/23 14:52:32 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 1.0000e-04 eta: 1:58:24 time: 0.2450 data_time: 0.0331 memory: 6108 grad_norm: 9.1244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/07/23 14:52:36 - mmengine - INFO - Epoch(train) [93][320/3757] lr: 1.0000e-04 eta: 1:58:19 time: 0.2297 data_time: 0.0288 memory: 6108 grad_norm: 8.9005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7578 loss: 0.7578 2022/07/23 14:52:41 - mmengine - INFO - Epoch(train) [93][340/3757] lr: 1.0000e-04 eta: 1:58:14 time: 0.2324 data_time: 0.0249 memory: 6108 grad_norm: 9.2502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2589 loss: 1.2589 2022/07/23 14:52:45 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:52:46 - mmengine - INFO - Epoch(train) [93][360/3757] lr: 1.0000e-04 eta: 1:58:09 time: 0.2335 data_time: 0.0261 memory: 6108 grad_norm: 9.4824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0274 loss: 1.0274 2022/07/23 14:52:50 - mmengine - INFO - Epoch(train) [93][380/3757] lr: 1.0000e-04 eta: 1:58:05 time: 0.2291 data_time: 0.0206 memory: 6108 grad_norm: 9.5540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/07/23 14:52:55 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 1.0000e-04 eta: 1:58:00 time: 0.2361 data_time: 0.0230 memory: 6108 grad_norm: 9.3644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/07/23 14:53:00 - mmengine - INFO - Epoch(train) [93][420/3757] lr: 1.0000e-04 eta: 1:57:55 time: 0.2390 data_time: 0.0353 memory: 6108 grad_norm: 9.5914 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/07/23 14:53:04 - mmengine - INFO - Epoch(train) [93][440/3757] lr: 1.0000e-04 eta: 1:57:50 time: 0.2324 data_time: 0.0209 memory: 6108 grad_norm: 9.6640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0677 loss: 1.0677 2022/07/23 14:53:09 - mmengine - INFO - Epoch(train) [93][460/3757] lr: 1.0000e-04 eta: 1:57:46 time: 0.2321 data_time: 0.0211 memory: 6108 grad_norm: 8.9247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/07/23 14:53:14 - mmengine - INFO - Epoch(train) [93][480/3757] lr: 1.0000e-04 eta: 1:57:41 time: 0.2377 data_time: 0.0284 memory: 6108 grad_norm: 9.1136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3502 loss: 1.3502 2022/07/23 14:53:19 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 1.0000e-04 eta: 1:57:36 time: 0.2360 data_time: 0.0221 memory: 6108 grad_norm: 9.5672 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0471 loss: 1.0471 2022/07/23 14:53:23 - mmengine - INFO - Epoch(train) [93][520/3757] lr: 1.0000e-04 eta: 1:57:31 time: 0.2372 data_time: 0.0184 memory: 6108 grad_norm: 9.2900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4128 loss: 1.4128 2022/07/23 14:53:28 - mmengine - INFO - Epoch(train) [93][540/3757] lr: 1.0000e-04 eta: 1:57:26 time: 0.2283 data_time: 0.0217 memory: 6108 grad_norm: 9.2705 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3587 loss: 1.3587 2022/07/23 14:53:33 - mmengine - INFO - Epoch(train) [93][560/3757] lr: 1.0000e-04 eta: 1:57:22 time: 0.2326 data_time: 0.0192 memory: 6108 grad_norm: 9.1405 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1534 loss: 1.1534 2022/07/23 14:53:37 - mmengine - INFO - Epoch(train) [93][580/3757] lr: 1.0000e-04 eta: 1:57:17 time: 0.2345 data_time: 0.0239 memory: 6108 grad_norm: 9.1698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0753 loss: 1.0753 2022/07/23 14:53:42 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 1.0000e-04 eta: 1:57:12 time: 0.2343 data_time: 0.0263 memory: 6108 grad_norm: 9.2981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/07/23 14:53:47 - mmengine - INFO - Epoch(train) [93][620/3757] lr: 1.0000e-04 eta: 1:57:07 time: 0.2517 data_time: 0.0494 memory: 6108 grad_norm: 9.3313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/07/23 14:53:52 - mmengine - INFO - Epoch(train) [93][640/3757] lr: 1.0000e-04 eta: 1:57:03 time: 0.2412 data_time: 0.0297 memory: 6108 grad_norm: 9.1466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/07/23 14:53:57 - mmengine - INFO - Epoch(train) [93][660/3757] lr: 1.0000e-04 eta: 1:56:58 time: 0.2298 data_time: 0.0248 memory: 6108 grad_norm: 9.3367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1710 loss: 1.1710 2022/07/23 14:54:01 - mmengine - INFO - Epoch(train) [93][680/3757] lr: 1.0000e-04 eta: 1:56:53 time: 0.2360 data_time: 0.0254 memory: 6108 grad_norm: 9.0330 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9824 loss: 0.9824 2022/07/23 14:54:06 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 1.0000e-04 eta: 1:56:48 time: 0.2297 data_time: 0.0216 memory: 6108 grad_norm: 9.1484 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3043 loss: 1.3043 2022/07/23 14:54:11 - mmengine - INFO - Epoch(train) [93][720/3757] lr: 1.0000e-04 eta: 1:56:43 time: 0.2299 data_time: 0.0222 memory: 6108 grad_norm: 9.3946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/07/23 14:54:15 - mmengine - INFO - Epoch(train) [93][740/3757] lr: 1.0000e-04 eta: 1:56:39 time: 0.2323 data_time: 0.0220 memory: 6108 grad_norm: 8.8270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1538 loss: 1.1538 2022/07/23 14:54:20 - mmengine - INFO - Epoch(train) [93][760/3757] lr: 1.0000e-04 eta: 1:56:34 time: 0.2309 data_time: 0.0251 memory: 6108 grad_norm: 9.6484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2903 loss: 1.2903 2022/07/23 14:54:26 - mmengine - INFO - Epoch(train) [93][780/3757] lr: 1.0000e-04 eta: 1:56:29 time: 0.3055 data_time: 0.0214 memory: 6108 grad_norm: 9.6692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/07/23 14:54:31 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 1.0000e-04 eta: 1:56:24 time: 0.2425 data_time: 0.0184 memory: 6108 grad_norm: 9.0913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/07/23 14:54:36 - mmengine - INFO - Epoch(train) [93][820/3757] lr: 1.0000e-04 eta: 1:56:20 time: 0.2271 data_time: 0.0233 memory: 6108 grad_norm: 9.4351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0736 loss: 1.0736 2022/07/23 14:54:40 - mmengine - INFO - Epoch(train) [93][840/3757] lr: 1.0000e-04 eta: 1:56:15 time: 0.2395 data_time: 0.0243 memory: 6108 grad_norm: 9.3704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/07/23 14:54:45 - mmengine - INFO - Epoch(train) [93][860/3757] lr: 1.0000e-04 eta: 1:56:10 time: 0.2279 data_time: 0.0268 memory: 6108 grad_norm: 9.4719 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2149 loss: 1.2149 2022/07/23 14:54:50 - mmengine - INFO - Epoch(train) [93][880/3757] lr: 1.0000e-04 eta: 1:56:05 time: 0.2458 data_time: 0.0281 memory: 6108 grad_norm: 9.0793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/07/23 14:54:55 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 1.0000e-04 eta: 1:56:00 time: 0.2354 data_time: 0.0254 memory: 6108 grad_norm: 8.9612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9559 loss: 0.9559 2022/07/23 14:54:59 - mmengine - INFO - Epoch(train) [93][920/3757] lr: 1.0000e-04 eta: 1:55:56 time: 0.2301 data_time: 0.0293 memory: 6108 grad_norm: 9.6321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1466 loss: 1.1466 2022/07/23 14:55:04 - mmengine - INFO - Epoch(train) [93][940/3757] lr: 1.0000e-04 eta: 1:55:51 time: 0.2335 data_time: 0.0256 memory: 6108 grad_norm: 9.1743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0660 loss: 1.0660 2022/07/23 14:55:09 - mmengine - INFO - Epoch(train) [93][960/3757] lr: 1.0000e-04 eta: 1:55:46 time: 0.2342 data_time: 0.0278 memory: 6108 grad_norm: 9.3891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/07/23 14:55:13 - mmengine - INFO - Epoch(train) [93][980/3757] lr: 1.0000e-04 eta: 1:55:41 time: 0.2280 data_time: 0.0268 memory: 6108 grad_norm: 9.7222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/07/23 14:55:18 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 1.0000e-04 eta: 1:55:37 time: 0.2306 data_time: 0.0267 memory: 6108 grad_norm: 9.2198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/07/23 14:55:23 - mmengine - INFO - Epoch(train) [93][1020/3757] lr: 1.0000e-04 eta: 1:55:32 time: 0.2385 data_time: 0.0202 memory: 6108 grad_norm: 8.7859 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9607 loss: 0.9607 2022/07/23 14:55:27 - mmengine - INFO - Epoch(train) [93][1040/3757] lr: 1.0000e-04 eta: 1:55:27 time: 0.2296 data_time: 0.0220 memory: 6108 grad_norm: 9.2791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4464 loss: 1.4464 2022/07/23 14:55:32 - mmengine - INFO - Epoch(train) [93][1060/3757] lr: 1.0000e-04 eta: 1:55:22 time: 0.2420 data_time: 0.0239 memory: 6108 grad_norm: 9.5103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2154 loss: 1.2154 2022/07/23 14:55:37 - mmengine - INFO - Epoch(train) [93][1080/3757] lr: 1.0000e-04 eta: 1:55:17 time: 0.2371 data_time: 0.0238 memory: 6108 grad_norm: 9.4638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9069 loss: 0.9069 2022/07/23 14:55:42 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 1.0000e-04 eta: 1:55:13 time: 0.2401 data_time: 0.0187 memory: 6108 grad_norm: 9.4908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/07/23 14:55:47 - mmengine - INFO - Epoch(train) [93][1120/3757] lr: 1.0000e-04 eta: 1:55:08 time: 0.2293 data_time: 0.0269 memory: 6108 grad_norm: 9.1746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0866 loss: 1.0866 2022/07/23 14:55:51 - mmengine - INFO - Epoch(train) [93][1140/3757] lr: 1.0000e-04 eta: 1:55:03 time: 0.2313 data_time: 0.0229 memory: 6108 grad_norm: 8.7745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/07/23 14:55:56 - mmengine - INFO - Epoch(train) [93][1160/3757] lr: 1.0000e-04 eta: 1:54:58 time: 0.2341 data_time: 0.0247 memory: 6108 grad_norm: 9.0368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0961 loss: 1.0961 2022/07/23 14:56:01 - mmengine - INFO - Epoch(train) [93][1180/3757] lr: 1.0000e-04 eta: 1:54:54 time: 0.2359 data_time: 0.0242 memory: 6108 grad_norm: 9.5262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0653 loss: 1.0653 2022/07/23 14:56:06 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 1.0000e-04 eta: 1:54:49 time: 0.2478 data_time: 0.0220 memory: 6108 grad_norm: 9.3424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/07/23 14:56:10 - mmengine - INFO - Epoch(train) [93][1220/3757] lr: 1.0000e-04 eta: 1:54:44 time: 0.2315 data_time: 0.0229 memory: 6108 grad_norm: 9.3035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0060 loss: 1.0060 2022/07/23 14:56:15 - mmengine - INFO - Epoch(train) [93][1240/3757] lr: 1.0000e-04 eta: 1:54:39 time: 0.2350 data_time: 0.0268 memory: 6108 grad_norm: 9.2732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4011 loss: 1.4011 2022/07/23 14:56:20 - mmengine - INFO - Epoch(train) [93][1260/3757] lr: 1.0000e-04 eta: 1:54:34 time: 0.2319 data_time: 0.0304 memory: 6108 grad_norm: 9.2116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1897 loss: 1.1897 2022/07/23 14:56:24 - mmengine - INFO - Epoch(train) [93][1280/3757] lr: 1.0000e-04 eta: 1:54:30 time: 0.2341 data_time: 0.0227 memory: 6108 grad_norm: 9.2177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3868 loss: 1.3868 2022/07/23 14:56:29 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 1.0000e-04 eta: 1:54:25 time: 0.2341 data_time: 0.0274 memory: 6108 grad_norm: 8.9601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1382 loss: 1.1382 2022/07/23 14:56:34 - mmengine - INFO - Epoch(train) [93][1320/3757] lr: 1.0000e-04 eta: 1:54:20 time: 0.2317 data_time: 0.0227 memory: 6108 grad_norm: 8.9924 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0985 loss: 1.0985 2022/07/23 14:56:38 - mmengine - INFO - Epoch(train) [93][1340/3757] lr: 1.0000e-04 eta: 1:54:15 time: 0.2294 data_time: 0.0237 memory: 6108 grad_norm: 8.9637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2521 loss: 1.2521 2022/07/23 14:56:42 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 14:56:43 - mmengine - INFO - Epoch(train) [93][1360/3757] lr: 1.0000e-04 eta: 1:54:10 time: 0.2374 data_time: 0.0259 memory: 6108 grad_norm: 9.4966 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3220 loss: 1.3220 2022/07/23 14:56:48 - mmengine - INFO - Epoch(train) [93][1380/3757] lr: 1.0000e-04 eta: 1:54:06 time: 0.2291 data_time: 0.0232 memory: 6108 grad_norm: 9.6132 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1465 loss: 1.1465 2022/07/23 14:56:53 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 1.0000e-04 eta: 1:54:01 time: 0.2369 data_time: 0.0273 memory: 6108 grad_norm: 8.9986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9974 loss: 0.9974 2022/07/23 14:56:57 - mmengine - INFO - Epoch(train) [93][1420/3757] lr: 1.0000e-04 eta: 1:53:56 time: 0.2321 data_time: 0.0325 memory: 6108 grad_norm: 9.3945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/07/23 14:57:02 - mmengine - INFO - Epoch(train) [93][1440/3757] lr: 1.0000e-04 eta: 1:53:51 time: 0.2527 data_time: 0.0202 memory: 6108 grad_norm: 9.3576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1127 loss: 1.1127 2022/07/23 14:57:07 - mmengine - INFO - Epoch(train) [93][1460/3757] lr: 1.0000e-04 eta: 1:53:47 time: 0.2301 data_time: 0.0280 memory: 6108 grad_norm: 9.8010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2186 loss: 1.2186 2022/07/23 14:57:12 - mmengine - INFO - Epoch(train) [93][1480/3757] lr: 1.0000e-04 eta: 1:53:42 time: 0.2330 data_time: 0.0301 memory: 6108 grad_norm: 8.9868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0684 loss: 1.0684 2022/07/23 14:57:16 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 1.0000e-04 eta: 1:53:37 time: 0.2394 data_time: 0.0255 memory: 6108 grad_norm: 9.4544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2913 loss: 1.2913 2022/07/23 14:57:21 - mmengine - INFO - Epoch(train) [93][1520/3757] lr: 1.0000e-04 eta: 1:53:32 time: 0.2310 data_time: 0.0242 memory: 6108 grad_norm: 9.2358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/07/23 14:57:26 - mmengine - INFO - Epoch(train) [93][1540/3757] lr: 1.0000e-04 eta: 1:53:27 time: 0.2333 data_time: 0.0233 memory: 6108 grad_norm: 9.0849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8209 loss: 0.8209 2022/07/23 14:57:31 - mmengine - INFO - Epoch(train) [93][1560/3757] lr: 1.0000e-04 eta: 1:53:23 time: 0.2406 data_time: 0.0229 memory: 6108 grad_norm: 9.3403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1063 loss: 1.1063 2022/07/23 14:57:35 - mmengine - INFO - Epoch(train) [93][1580/3757] lr: 1.0000e-04 eta: 1:53:18 time: 0.2296 data_time: 0.0258 memory: 6108 grad_norm: 9.9075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/07/23 14:57:40 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 1.0000e-04 eta: 1:53:13 time: 0.2349 data_time: 0.0242 memory: 6108 grad_norm: 9.2791 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/07/23 14:57:45 - mmengine - INFO - Epoch(train) [93][1620/3757] lr: 1.0000e-04 eta: 1:53:08 time: 0.2404 data_time: 0.0256 memory: 6108 grad_norm: 9.1932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/07/23 14:57:50 - mmengine - INFO - Epoch(train) [93][1640/3757] lr: 1.0000e-04 eta: 1:53:04 time: 0.2327 data_time: 0.0265 memory: 6108 grad_norm: 9.2459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/07/23 14:57:54 - mmengine - INFO - Epoch(train) [93][1660/3757] lr: 1.0000e-04 eta: 1:52:59 time: 0.2292 data_time: 0.0274 memory: 6108 grad_norm: 9.5684 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/07/23 14:57:59 - mmengine - INFO - Epoch(train) [93][1680/3757] lr: 1.0000e-04 eta: 1:52:54 time: 0.2311 data_time: 0.0256 memory: 6108 grad_norm: 8.9363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1735 loss: 1.1735 2022/07/23 14:58:04 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 1.0000e-04 eta: 1:52:49 time: 0.2425 data_time: 0.0250 memory: 6108 grad_norm: 9.2537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1563 loss: 1.1563 2022/07/23 14:58:08 - mmengine - INFO - Epoch(train) [93][1720/3757] lr: 1.0000e-04 eta: 1:52:44 time: 0.2297 data_time: 0.0287 memory: 6108 grad_norm: 9.0229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8727 loss: 0.8727 2022/07/23 14:58:13 - mmengine - INFO - Epoch(train) [93][1740/3757] lr: 1.0000e-04 eta: 1:52:40 time: 0.2347 data_time: 0.0282 memory: 6108 grad_norm: 9.1995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0196 loss: 1.0196 2022/07/23 14:58:18 - mmengine - INFO - Epoch(train) [93][1760/3757] lr: 1.0000e-04 eta: 1:52:35 time: 0.2267 data_time: 0.0259 memory: 6108 grad_norm: 9.6850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3845 loss: 1.3845 2022/07/23 14:58:23 - mmengine - INFO - Epoch(train) [93][1780/3757] lr: 1.0000e-04 eta: 1:52:30 time: 0.2457 data_time: 0.0221 memory: 6108 grad_norm: 9.2965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3593 loss: 1.3593 2022/07/23 14:58:27 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 1.0000e-04 eta: 1:52:25 time: 0.2366 data_time: 0.0308 memory: 6108 grad_norm: 9.4390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1984 loss: 1.1984 2022/07/23 14:58:32 - mmengine - INFO - Epoch(train) [93][1820/3757] lr: 1.0000e-04 eta: 1:52:21 time: 0.2308 data_time: 0.0246 memory: 6108 grad_norm: 9.3784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/07/23 14:58:37 - mmengine - INFO - Epoch(train) [93][1840/3757] lr: 1.0000e-04 eta: 1:52:16 time: 0.2305 data_time: 0.0257 memory: 6108 grad_norm: 9.0984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8232 loss: 0.8232 2022/07/23 14:58:41 - mmengine - INFO - Epoch(train) [93][1860/3757] lr: 1.0000e-04 eta: 1:52:11 time: 0.2307 data_time: 0.0288 memory: 6108 grad_norm: 9.4764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1529 loss: 1.1529 2022/07/23 14:58:46 - mmengine - INFO - Epoch(train) [93][1880/3757] lr: 1.0000e-04 eta: 1:52:06 time: 0.2385 data_time: 0.0224 memory: 6108 grad_norm: 9.6954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/07/23 14:58:51 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 1.0000e-04 eta: 1:52:01 time: 0.2275 data_time: 0.0252 memory: 6108 grad_norm: 9.3132 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/07/23 14:58:55 - mmengine - INFO - Epoch(train) [93][1920/3757] lr: 1.0000e-04 eta: 1:51:57 time: 0.2367 data_time: 0.0208 memory: 6108 grad_norm: 9.1272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/07/23 14:59:00 - mmengine - INFO - Epoch(train) [93][1940/3757] lr: 1.0000e-04 eta: 1:51:52 time: 0.2361 data_time: 0.0285 memory: 6108 grad_norm: 9.0845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9796 loss: 0.9796 2022/07/23 14:59:05 - mmengine - INFO - Epoch(train) [93][1960/3757] lr: 1.0000e-04 eta: 1:51:47 time: 0.2346 data_time: 0.0246 memory: 6108 grad_norm: 9.6072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2293 loss: 1.2293 2022/07/23 14:59:10 - mmengine - INFO - Epoch(train) [93][1980/3757] lr: 1.0000e-04 eta: 1:51:42 time: 0.2395 data_time: 0.0249 memory: 6108 grad_norm: 9.1682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2177 loss: 1.2177 2022/07/23 14:59:14 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 1.0000e-04 eta: 1:51:37 time: 0.2284 data_time: 0.0182 memory: 6108 grad_norm: 9.3760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/07/23 14:59:19 - mmengine - INFO - Epoch(train) [93][2020/3757] lr: 1.0000e-04 eta: 1:51:33 time: 0.2297 data_time: 0.0240 memory: 6108 grad_norm: 9.3268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/07/23 14:59:24 - mmengine - INFO - Epoch(train) [93][2040/3757] lr: 1.0000e-04 eta: 1:51:28 time: 0.2424 data_time: 0.0269 memory: 6108 grad_norm: 9.1105 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/07/23 14:59:29 - mmengine - INFO - Epoch(train) [93][2060/3757] lr: 1.0000e-04 eta: 1:51:23 time: 0.2397 data_time: 0.0244 memory: 6108 grad_norm: 9.0086 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/07/23 14:59:33 - mmengine - INFO - Epoch(train) [93][2080/3757] lr: 1.0000e-04 eta: 1:51:18 time: 0.2358 data_time: 0.0236 memory: 6108 grad_norm: 9.2451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/07/23 14:59:38 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 1.0000e-04 eta: 1:51:14 time: 0.2332 data_time: 0.0274 memory: 6108 grad_norm: 9.1347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/07/23 14:59:43 - mmengine - INFO - Epoch(train) [93][2120/3757] lr: 1.0000e-04 eta: 1:51:09 time: 0.2404 data_time: 0.0261 memory: 6108 grad_norm: 9.3853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9663 loss: 0.9663 2022/07/23 14:59:48 - mmengine - INFO - Epoch(train) [93][2140/3757] lr: 1.0000e-04 eta: 1:51:04 time: 0.2322 data_time: 0.0267 memory: 6108 grad_norm: 9.5490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2527 loss: 1.2527 2022/07/23 14:59:52 - mmengine - INFO - Epoch(train) [93][2160/3757] lr: 1.0000e-04 eta: 1:50:59 time: 0.2314 data_time: 0.0224 memory: 6108 grad_norm: 9.6846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/07/23 14:59:57 - mmengine - INFO - Epoch(train) [93][2180/3757] lr: 1.0000e-04 eta: 1:50:54 time: 0.2270 data_time: 0.0225 memory: 6108 grad_norm: 9.4480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4543 loss: 1.4543 2022/07/23 15:00:02 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 1.0000e-04 eta: 1:50:50 time: 0.2423 data_time: 0.0272 memory: 6108 grad_norm: 8.9735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/23 15:00:06 - mmengine - INFO - Epoch(train) [93][2220/3757] lr: 1.0000e-04 eta: 1:50:45 time: 0.2311 data_time: 0.0255 memory: 6108 grad_norm: 9.6130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2587 loss: 1.2587 2022/07/23 15:00:11 - mmengine - INFO - Epoch(train) [93][2240/3757] lr: 1.0000e-04 eta: 1:50:40 time: 0.2289 data_time: 0.0285 memory: 6108 grad_norm: 9.5501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0259 loss: 1.0259 2022/07/23 15:00:16 - mmengine - INFO - Epoch(train) [93][2260/3757] lr: 1.0000e-04 eta: 1:50:35 time: 0.2317 data_time: 0.0268 memory: 6108 grad_norm: 9.1604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/07/23 15:00:20 - mmengine - INFO - Epoch(train) [93][2280/3757] lr: 1.0000e-04 eta: 1:50:31 time: 0.2288 data_time: 0.0244 memory: 6108 grad_norm: 9.1317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0946 loss: 1.0946 2022/07/23 15:00:25 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 1.0000e-04 eta: 1:50:26 time: 0.2384 data_time: 0.0257 memory: 6108 grad_norm: 9.6767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/07/23 15:00:30 - mmengine - INFO - Epoch(train) [93][2320/3757] lr: 1.0000e-04 eta: 1:50:21 time: 0.2295 data_time: 0.0302 memory: 6108 grad_norm: 9.0369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0373 loss: 1.0373 2022/07/23 15:00:34 - mmengine - INFO - Epoch(train) [93][2340/3757] lr: 1.0000e-04 eta: 1:50:16 time: 0.2313 data_time: 0.0240 memory: 6108 grad_norm: 8.9731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8668 loss: 0.8668 2022/07/23 15:00:38 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:00:39 - mmengine - INFO - Epoch(train) [93][2360/3757] lr: 1.0000e-04 eta: 1:50:11 time: 0.2311 data_time: 0.0273 memory: 6108 grad_norm: 9.4556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0481 loss: 1.0481 2022/07/23 15:00:44 - mmengine - INFO - Epoch(train) [93][2380/3757] lr: 1.0000e-04 eta: 1:50:07 time: 0.2410 data_time: 0.0305 memory: 6108 grad_norm: 9.0951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0237 loss: 1.0237 2022/07/23 15:00:48 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 1.0000e-04 eta: 1:50:02 time: 0.2289 data_time: 0.0268 memory: 6108 grad_norm: 9.4961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/07/23 15:00:53 - mmengine - INFO - Epoch(train) [93][2420/3757] lr: 1.0000e-04 eta: 1:49:57 time: 0.2308 data_time: 0.0222 memory: 6108 grad_norm: 9.2403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4844 loss: 1.4844 2022/07/23 15:00:58 - mmengine - INFO - Epoch(train) [93][2440/3757] lr: 1.0000e-04 eta: 1:49:52 time: 0.2327 data_time: 0.0229 memory: 6108 grad_norm: 9.5859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/07/23 15:01:03 - mmengine - INFO - Epoch(train) [93][2460/3757] lr: 1.0000e-04 eta: 1:49:47 time: 0.2338 data_time: 0.0223 memory: 6108 grad_norm: 9.5535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/23 15:01:07 - mmengine - INFO - Epoch(train) [93][2480/3757] lr: 1.0000e-04 eta: 1:49:43 time: 0.2279 data_time: 0.0225 memory: 6108 grad_norm: 9.5525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/07/23 15:01:12 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 1.0000e-04 eta: 1:49:38 time: 0.2336 data_time: 0.0264 memory: 6108 grad_norm: 9.0106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2759 loss: 1.2759 2022/07/23 15:01:17 - mmengine - INFO - Epoch(train) [93][2520/3757] lr: 1.0000e-04 eta: 1:49:33 time: 0.2354 data_time: 0.0265 memory: 6108 grad_norm: 9.7204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9772 loss: 0.9772 2022/07/23 15:01:21 - mmengine - INFO - Epoch(train) [93][2540/3757] lr: 1.0000e-04 eta: 1:49:28 time: 0.2345 data_time: 0.0217 memory: 6108 grad_norm: 9.3679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2026 loss: 1.2026 2022/07/23 15:01:26 - mmengine - INFO - Epoch(train) [93][2560/3757] lr: 1.0000e-04 eta: 1:49:24 time: 0.2353 data_time: 0.0256 memory: 6108 grad_norm: 9.2728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/07/23 15:01:31 - mmengine - INFO - Epoch(train) [93][2580/3757] lr: 1.0000e-04 eta: 1:49:19 time: 0.2314 data_time: 0.0270 memory: 6108 grad_norm: 9.6161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1683 loss: 1.1683 2022/07/23 15:01:35 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 1.0000e-04 eta: 1:49:14 time: 0.2340 data_time: 0.0235 memory: 6108 grad_norm: 9.3448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/07/23 15:01:40 - mmengine - INFO - Epoch(train) [93][2620/3757] lr: 1.0000e-04 eta: 1:49:09 time: 0.2297 data_time: 0.0214 memory: 6108 grad_norm: 9.2814 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1638 loss: 1.1638 2022/07/23 15:01:45 - mmengine - INFO - Epoch(train) [93][2640/3757] lr: 1.0000e-04 eta: 1:49:04 time: 0.2451 data_time: 0.0225 memory: 6108 grad_norm: 9.3043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/07/23 15:01:50 - mmengine - INFO - Epoch(train) [93][2660/3757] lr: 1.0000e-04 eta: 1:49:00 time: 0.2310 data_time: 0.0203 memory: 6108 grad_norm: 9.0045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/07/23 15:01:54 - mmengine - INFO - Epoch(train) [93][2680/3757] lr: 1.0000e-04 eta: 1:48:55 time: 0.2332 data_time: 0.0232 memory: 6108 grad_norm: 9.6715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/07/23 15:01:59 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 1.0000e-04 eta: 1:48:50 time: 0.2266 data_time: 0.0194 memory: 6108 grad_norm: 9.3900 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/07/23 15:02:04 - mmengine - INFO - Epoch(train) [93][2720/3757] lr: 1.0000e-04 eta: 1:48:45 time: 0.2396 data_time: 0.0300 memory: 6108 grad_norm: 9.2926 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1585 loss: 1.1585 2022/07/23 15:02:08 - mmengine - INFO - Epoch(train) [93][2740/3757] lr: 1.0000e-04 eta: 1:48:41 time: 0.2357 data_time: 0.0348 memory: 6108 grad_norm: 9.1885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2121 loss: 1.2121 2022/07/23 15:02:13 - mmengine - INFO - Epoch(train) [93][2760/3757] lr: 1.0000e-04 eta: 1:48:36 time: 0.2303 data_time: 0.0190 memory: 6108 grad_norm: 9.3306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7990 loss: 0.7990 2022/07/23 15:02:18 - mmengine - INFO - Epoch(train) [93][2780/3757] lr: 1.0000e-04 eta: 1:48:31 time: 0.2348 data_time: 0.0254 memory: 6108 grad_norm: 9.3488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1035 loss: 1.1035 2022/07/23 15:02:22 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 1.0000e-04 eta: 1:48:26 time: 0.2312 data_time: 0.0208 memory: 6108 grad_norm: 9.5991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3515 loss: 1.3515 2022/07/23 15:02:27 - mmengine - INFO - Epoch(train) [93][2820/3757] lr: 1.0000e-04 eta: 1:48:21 time: 0.2330 data_time: 0.0254 memory: 6108 grad_norm: 9.1805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/07/23 15:02:32 - mmengine - INFO - Epoch(train) [93][2840/3757] lr: 1.0000e-04 eta: 1:48:17 time: 0.2315 data_time: 0.0294 memory: 6108 grad_norm: 9.3827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0190 loss: 1.0190 2022/07/23 15:02:37 - mmengine - INFO - Epoch(train) [93][2860/3757] lr: 1.0000e-04 eta: 1:48:12 time: 0.2368 data_time: 0.0235 memory: 6108 grad_norm: 9.4657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2857 loss: 1.2857 2022/07/23 15:02:41 - mmengine - INFO - Epoch(train) [93][2880/3757] lr: 1.0000e-04 eta: 1:48:07 time: 0.2298 data_time: 0.0200 memory: 6108 grad_norm: 9.3977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/07/23 15:02:46 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 1.0000e-04 eta: 1:48:02 time: 0.2312 data_time: 0.0252 memory: 6108 grad_norm: 9.4528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4024 loss: 1.4024 2022/07/23 15:02:51 - mmengine - INFO - Epoch(train) [93][2920/3757] lr: 1.0000e-04 eta: 1:47:57 time: 0.2401 data_time: 0.0312 memory: 6108 grad_norm: 9.1450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/07/23 15:02:55 - mmengine - INFO - Epoch(train) [93][2940/3757] lr: 1.0000e-04 eta: 1:47:53 time: 0.2378 data_time: 0.0179 memory: 6108 grad_norm: 9.3058 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1066 loss: 1.1066 2022/07/23 15:03:00 - mmengine - INFO - Epoch(train) [93][2960/3757] lr: 1.0000e-04 eta: 1:47:48 time: 0.2315 data_time: 0.0201 memory: 6108 grad_norm: 9.5499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/07/23 15:03:05 - mmengine - INFO - Epoch(train) [93][2980/3757] lr: 1.0000e-04 eta: 1:47:43 time: 0.2403 data_time: 0.0273 memory: 6108 grad_norm: 9.3960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0757 loss: 1.0757 2022/07/23 15:03:10 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 1.0000e-04 eta: 1:47:38 time: 0.2318 data_time: 0.0188 memory: 6108 grad_norm: 9.4414 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0058 loss: 1.0058 2022/07/23 15:03:14 - mmengine - INFO - Epoch(train) [93][3020/3757] lr: 1.0000e-04 eta: 1:47:34 time: 0.2353 data_time: 0.0201 memory: 6108 grad_norm: 9.6173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2660 loss: 1.2660 2022/07/23 15:03:19 - mmengine - INFO - Epoch(train) [93][3040/3757] lr: 1.0000e-04 eta: 1:47:29 time: 0.2310 data_time: 0.0263 memory: 6108 grad_norm: 9.6094 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1674 loss: 1.1674 2022/07/23 15:03:24 - mmengine - INFO - Epoch(train) [93][3060/3757] lr: 1.0000e-04 eta: 1:47:24 time: 0.2485 data_time: 0.0167 memory: 6108 grad_norm: 9.6959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/07/23 15:03:29 - mmengine - INFO - Epoch(train) [93][3080/3757] lr: 1.0000e-04 eta: 1:47:19 time: 0.2274 data_time: 0.0205 memory: 6108 grad_norm: 9.7289 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0746 loss: 1.0746 2022/07/23 15:03:33 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 1.0000e-04 eta: 1:47:14 time: 0.2321 data_time: 0.0248 memory: 6108 grad_norm: 9.8712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5783 loss: 1.5783 2022/07/23 15:03:38 - mmengine - INFO - Epoch(train) [93][3120/3757] lr: 1.0000e-04 eta: 1:47:10 time: 0.2308 data_time: 0.0214 memory: 6108 grad_norm: 9.3216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0872 loss: 1.0872 2022/07/23 15:03:43 - mmengine - INFO - Epoch(train) [93][3140/3757] lr: 1.0000e-04 eta: 1:47:05 time: 0.2348 data_time: 0.0182 memory: 6108 grad_norm: 9.5523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/07/23 15:03:48 - mmengine - INFO - Epoch(train) [93][3160/3757] lr: 1.0000e-04 eta: 1:47:00 time: 0.2885 data_time: 0.0232 memory: 6108 grad_norm: 9.5442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0881 loss: 1.0881 2022/07/23 15:03:53 - mmengine - INFO - Epoch(train) [93][3180/3757] lr: 1.0000e-04 eta: 1:46:55 time: 0.2358 data_time: 0.0201 memory: 6108 grad_norm: 9.0396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7468 loss: 0.7468 2022/07/23 15:03:58 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 1.0000e-04 eta: 1:46:51 time: 0.2313 data_time: 0.0231 memory: 6108 grad_norm: 9.1506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9805 loss: 0.9805 2022/07/23 15:04:03 - mmengine - INFO - Epoch(train) [93][3220/3757] lr: 1.0000e-04 eta: 1:46:46 time: 0.2296 data_time: 0.0199 memory: 6108 grad_norm: 9.4426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/07/23 15:04:08 - mmengine - INFO - Epoch(train) [93][3240/3757] lr: 1.0000e-04 eta: 1:46:41 time: 0.2502 data_time: 0.0196 memory: 6108 grad_norm: 9.4805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3243 loss: 1.3243 2022/07/23 15:04:12 - mmengine - INFO - Epoch(train) [93][3260/3757] lr: 1.0000e-04 eta: 1:46:36 time: 0.2318 data_time: 0.0235 memory: 6108 grad_norm: 9.2138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2731 loss: 1.2731 2022/07/23 15:04:17 - mmengine - INFO - Epoch(train) [93][3280/3757] lr: 1.0000e-04 eta: 1:46:32 time: 0.2334 data_time: 0.0251 memory: 6108 grad_norm: 9.6298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/07/23 15:04:22 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 1.0000e-04 eta: 1:46:27 time: 0.2281 data_time: 0.0211 memory: 6108 grad_norm: 9.1424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/07/23 15:04:26 - mmengine - INFO - Epoch(train) [93][3320/3757] lr: 1.0000e-04 eta: 1:46:22 time: 0.2399 data_time: 0.0241 memory: 6108 grad_norm: 9.6231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2360 loss: 1.2360 2022/07/23 15:04:31 - mmengine - INFO - Epoch(train) [93][3340/3757] lr: 1.0000e-04 eta: 1:46:17 time: 0.2313 data_time: 0.0217 memory: 6108 grad_norm: 9.5394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/07/23 15:04:35 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:04:36 - mmengine - INFO - Epoch(train) [93][3360/3757] lr: 1.0000e-04 eta: 1:46:12 time: 0.2423 data_time: 0.0201 memory: 6108 grad_norm: 9.2930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2492 loss: 1.2492 2022/07/23 15:04:41 - mmengine - INFO - Epoch(train) [93][3380/3757] lr: 1.0000e-04 eta: 1:46:08 time: 0.2359 data_time: 0.0334 memory: 6108 grad_norm: 9.3308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0013 loss: 1.0013 2022/07/23 15:04:46 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 1.0000e-04 eta: 1:46:03 time: 0.2435 data_time: 0.0248 memory: 6108 grad_norm: 9.1979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1441 loss: 1.1441 2022/07/23 15:04:50 - mmengine - INFO - Epoch(train) [93][3420/3757] lr: 1.0000e-04 eta: 1:45:58 time: 0.2308 data_time: 0.0244 memory: 6108 grad_norm: 9.5162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2487 loss: 1.2487 2022/07/23 15:04:55 - mmengine - INFO - Epoch(train) [93][3440/3757] lr: 1.0000e-04 eta: 1:45:53 time: 0.2321 data_time: 0.0229 memory: 6108 grad_norm: 9.6423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2651 loss: 1.2651 2022/07/23 15:04:59 - mmengine - INFO - Epoch(train) [93][3460/3757] lr: 1.0000e-04 eta: 1:45:48 time: 0.2295 data_time: 0.0185 memory: 6108 grad_norm: 9.4818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0871 loss: 1.0871 2022/07/23 15:05:04 - mmengine - INFO - Epoch(train) [93][3480/3757] lr: 1.0000e-04 eta: 1:45:44 time: 0.2334 data_time: 0.0245 memory: 6108 grad_norm: 9.2501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/07/23 15:05:09 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 1.0000e-04 eta: 1:45:39 time: 0.2320 data_time: 0.0250 memory: 6108 grad_norm: 9.1971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1110 loss: 1.1110 2022/07/23 15:05:14 - mmengine - INFO - Epoch(train) [93][3520/3757] lr: 1.0000e-04 eta: 1:45:34 time: 0.2455 data_time: 0.0364 memory: 6108 grad_norm: 9.5383 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0537 loss: 1.0537 2022/07/23 15:05:19 - mmengine - INFO - Epoch(train) [93][3540/3757] lr: 1.0000e-04 eta: 1:45:29 time: 0.2353 data_time: 0.0262 memory: 6108 grad_norm: 9.8960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2754 loss: 1.2754 2022/07/23 15:05:23 - mmengine - INFO - Epoch(train) [93][3560/3757] lr: 1.0000e-04 eta: 1:45:25 time: 0.2302 data_time: 0.0193 memory: 6108 grad_norm: 9.2126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/07/23 15:05:28 - mmengine - INFO - Epoch(train) [93][3580/3757] lr: 1.0000e-04 eta: 1:45:20 time: 0.2339 data_time: 0.0246 memory: 6108 grad_norm: 9.3988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0634 loss: 1.0634 2022/07/23 15:05:33 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 1.0000e-04 eta: 1:45:15 time: 0.2377 data_time: 0.0185 memory: 6108 grad_norm: 9.4495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/07/23 15:05:37 - mmengine - INFO - Epoch(train) [93][3620/3757] lr: 1.0000e-04 eta: 1:45:10 time: 0.2299 data_time: 0.0261 memory: 6108 grad_norm: 9.2208 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5878 loss: 1.5878 2022/07/23 15:05:42 - mmengine - INFO - Epoch(train) [93][3640/3757] lr: 1.0000e-04 eta: 1:45:05 time: 0.2306 data_time: 0.0168 memory: 6108 grad_norm: 9.3061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1997 loss: 1.1997 2022/07/23 15:05:47 - mmengine - INFO - Epoch(train) [93][3660/3757] lr: 1.0000e-04 eta: 1:45:01 time: 0.2364 data_time: 0.0222 memory: 6108 grad_norm: 9.1071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/07/23 15:05:51 - mmengine - INFO - Epoch(train) [93][3680/3757] lr: 1.0000e-04 eta: 1:44:56 time: 0.2379 data_time: 0.0216 memory: 6108 grad_norm: 9.3477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/07/23 15:05:56 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 1.0000e-04 eta: 1:44:51 time: 0.2391 data_time: 0.0172 memory: 6108 grad_norm: 9.8170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/07/23 15:06:01 - mmengine - INFO - Epoch(train) [93][3720/3757] lr: 1.0000e-04 eta: 1:44:46 time: 0.2409 data_time: 0.0204 memory: 6108 grad_norm: 9.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2724 loss: 1.2724 2022/07/23 15:06:06 - mmengine - INFO - Epoch(train) [93][3740/3757] lr: 1.0000e-04 eta: 1:44:42 time: 0.2341 data_time: 0.0228 memory: 6108 grad_norm: 9.6857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/07/23 15:06:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:06:09 - mmengine - INFO - Epoch(train) [93][3757/3757] lr: 1.0000e-04 eta: 1:44:42 time: 0.1990 data_time: 0.0168 memory: 6108 grad_norm: 9.2781 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3256 loss: 1.3256 2022/07/23 15:06:15 - mmengine - INFO - Epoch(val) [93][20/310] eta: 0:01:16 time: 0.2650 data_time: 0.1835 memory: 1428 2022/07/23 15:06:18 - mmengine - INFO - Epoch(val) [93][40/310] eta: 0:00:49 time: 0.1823 data_time: 0.1069 memory: 1428 2022/07/23 15:06:23 - mmengine - INFO - Epoch(val) [93][60/310] eta: 0:00:57 time: 0.2290 data_time: 0.1540 memory: 1428 2022/07/23 15:06:27 - mmengine - INFO - Epoch(val) [93][80/310] eta: 0:00:44 time: 0.1928 data_time: 0.1165 memory: 1428 2022/07/23 15:06:31 - mmengine - INFO - Epoch(val) [93][100/310] eta: 0:00:47 time: 0.2257 data_time: 0.1504 memory: 1428 2022/07/23 15:06:35 - mmengine - INFO - Epoch(val) [93][120/310] eta: 0:00:37 time: 0.1959 data_time: 0.1222 memory: 1428 2022/07/23 15:06:40 - mmengine - INFO - Epoch(val) [93][140/310] eta: 0:00:41 time: 0.2457 data_time: 0.1700 memory: 1428 2022/07/23 15:06:44 - mmengine - INFO - Epoch(val) [93][160/310] eta: 0:00:28 time: 0.1896 data_time: 0.1111 memory: 1428 2022/07/23 15:06:49 - mmengine - INFO - Epoch(val) [93][180/310] eta: 0:00:31 time: 0.2425 data_time: 0.1651 memory: 1428 2022/07/23 15:06:53 - mmengine - INFO - Epoch(val) [93][200/310] eta: 0:00:21 time: 0.1959 data_time: 0.1137 memory: 1428 2022/07/23 15:06:57 - mmengine - INFO - Epoch(val) [93][220/310] eta: 0:00:20 time: 0.2327 data_time: 0.1556 memory: 1428 2022/07/23 15:07:01 - mmengine - INFO - Epoch(val) [93][240/310] eta: 0:00:13 time: 0.1863 data_time: 0.1066 memory: 1428 2022/07/23 15:07:06 - mmengine - INFO - Epoch(val) [93][260/310] eta: 0:00:12 time: 0.2569 data_time: 0.1822 memory: 1428 2022/07/23 15:07:10 - mmengine - INFO - Epoch(val) [93][280/310] eta: 0:00:05 time: 0.1904 data_time: 0.1139 memory: 1428 2022/07/23 15:07:15 - mmengine - INFO - Epoch(val) [93][300/310] eta: 0:00:02 time: 0.2377 data_time: 0.1649 memory: 1428 2022/07/23 15:07:18 - mmengine - INFO - Epoch(val) [93][310/310] acc/top1: 0.6681 acc/top5: 0.8652 acc/mean1: 0.6679 2022/07/23 15:07:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb/best_acc/top1_epoch_93.pth is removed 2022/07/23 15:07:20 - mmengine - INFO - The best checkpoint with 0.6681 acc/top1 at 94 epoch is saved to best_acc/top1_epoch_94.pth. 2022/07/23 15:07:26 - mmengine - INFO - Epoch(train) [94][20/3757] lr: 1.0000e-04 eta: 1:44:33 time: 0.2821 data_time: 0.0846 memory: 6108 grad_norm: 9.5131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/07/23 15:07:31 - mmengine - INFO - Epoch(train) [94][40/3757] lr: 1.0000e-04 eta: 1:44:28 time: 0.2372 data_time: 0.0229 memory: 6108 grad_norm: 9.6630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0904 loss: 1.0904 2022/07/23 15:07:36 - mmengine - INFO - Epoch(train) [94][60/3757] lr: 1.0000e-04 eta: 1:44:23 time: 0.2492 data_time: 0.0232 memory: 6108 grad_norm: 9.4623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/07/23 15:07:41 - mmengine - INFO - Epoch(train) [94][80/3757] lr: 1.0000e-04 eta: 1:44:18 time: 0.2362 data_time: 0.0233 memory: 6108 grad_norm: 9.3255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/07/23 15:07:45 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 1.0000e-04 eta: 1:44:13 time: 0.2272 data_time: 0.0229 memory: 6108 grad_norm: 9.5985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1069 loss: 1.1069 2022/07/23 15:07:50 - mmengine - INFO - Epoch(train) [94][120/3757] lr: 1.0000e-04 eta: 1:44:09 time: 0.2321 data_time: 0.0296 memory: 6108 grad_norm: 8.8194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9814 loss: 0.9814 2022/07/23 15:07:55 - mmengine - INFO - Epoch(train) [94][140/3757] lr: 1.0000e-04 eta: 1:44:04 time: 0.2348 data_time: 0.0177 memory: 6108 grad_norm: 9.5527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1790 loss: 1.1790 2022/07/23 15:07:59 - mmengine - INFO - Epoch(train) [94][160/3757] lr: 1.0000e-04 eta: 1:43:59 time: 0.2339 data_time: 0.0234 memory: 6108 grad_norm: 9.5267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1512 loss: 1.1512 2022/07/23 15:08:04 - mmengine - INFO - Epoch(train) [94][180/3757] lr: 1.0000e-04 eta: 1:43:54 time: 0.2333 data_time: 0.0265 memory: 6108 grad_norm: 9.5813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/07/23 15:08:09 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 1.0000e-04 eta: 1:43:50 time: 0.2547 data_time: 0.0193 memory: 6108 grad_norm: 9.3149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/07/23 15:08:14 - mmengine - INFO - Epoch(train) [94][220/3757] lr: 1.0000e-04 eta: 1:43:45 time: 0.2360 data_time: 0.0195 memory: 6108 grad_norm: 9.3045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9657 loss: 0.9657 2022/07/23 15:08:19 - mmengine - INFO - Epoch(train) [94][240/3757] lr: 1.0000e-04 eta: 1:43:40 time: 0.2285 data_time: 0.0215 memory: 6108 grad_norm: 9.5095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4413 loss: 1.4413 2022/07/23 15:08:23 - mmengine - INFO - Epoch(train) [94][260/3757] lr: 1.0000e-04 eta: 1:43:35 time: 0.2411 data_time: 0.0288 memory: 6108 grad_norm: 9.4106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1034 loss: 1.1034 2022/07/23 15:08:28 - mmengine - INFO - Epoch(train) [94][280/3757] lr: 1.0000e-04 eta: 1:43:30 time: 0.2269 data_time: 0.0217 memory: 6108 grad_norm: 9.5209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1433 loss: 1.1433 2022/07/23 15:08:33 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 1.0000e-04 eta: 1:43:26 time: 0.2318 data_time: 0.0254 memory: 6108 grad_norm: 9.3370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/07/23 15:08:37 - mmengine - INFO - Epoch(train) [94][320/3757] lr: 1.0000e-04 eta: 1:43:21 time: 0.2294 data_time: 0.0211 memory: 6108 grad_norm: 8.7270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0369 loss: 1.0369 2022/07/23 15:08:42 - mmengine - INFO - Epoch(train) [94][340/3757] lr: 1.0000e-04 eta: 1:43:16 time: 0.2323 data_time: 0.0208 memory: 6108 grad_norm: 9.0223 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/07/23 15:08:47 - mmengine - INFO - Epoch(train) [94][360/3757] lr: 1.0000e-04 eta: 1:43:11 time: 0.2326 data_time: 0.0248 memory: 6108 grad_norm: 9.0706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/07/23 15:08:51 - mmengine - INFO - Epoch(train) [94][380/3757] lr: 1.0000e-04 eta: 1:43:06 time: 0.2367 data_time: 0.0264 memory: 6108 grad_norm: 9.6509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2088 loss: 1.2088 2022/07/23 15:08:56 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 1.0000e-04 eta: 1:43:02 time: 0.2389 data_time: 0.0209 memory: 6108 grad_norm: 9.1018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/07/23 15:09:01 - mmengine - INFO - Epoch(train) [94][420/3757] lr: 1.0000e-04 eta: 1:42:57 time: 0.2399 data_time: 0.0315 memory: 6108 grad_norm: 9.0929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0425 loss: 1.0425 2022/07/23 15:09:06 - mmengine - INFO - Epoch(train) [94][440/3757] lr: 1.0000e-04 eta: 1:42:52 time: 0.2308 data_time: 0.0188 memory: 6108 grad_norm: 9.1574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0110 loss: 1.0110 2022/07/23 15:09:10 - mmengine - INFO - Epoch(train) [94][460/3757] lr: 1.0000e-04 eta: 1:42:47 time: 0.2288 data_time: 0.0227 memory: 6108 grad_norm: 9.2335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1802 loss: 1.1802 2022/07/23 15:09:15 - mmengine - INFO - Epoch(train) [94][480/3757] lr: 1.0000e-04 eta: 1:42:43 time: 0.2270 data_time: 0.0228 memory: 6108 grad_norm: 9.0903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/07/23 15:09:19 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 1.0000e-04 eta: 1:42:38 time: 0.2281 data_time: 0.0229 memory: 6108 grad_norm: 9.0197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0000 loss: 1.0000 2022/07/23 15:09:25 - mmengine - INFO - Epoch(train) [94][520/3757] lr: 1.0000e-04 eta: 1:42:33 time: 0.2652 data_time: 0.0209 memory: 6108 grad_norm: 9.1936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0149 loss: 1.0149 2022/07/23 15:09:29 - mmengine - INFO - Epoch(train) [94][540/3757] lr: 1.0000e-04 eta: 1:42:28 time: 0.2291 data_time: 0.0229 memory: 6108 grad_norm: 8.9953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/07/23 15:09:34 - mmengine - INFO - Epoch(train) [94][560/3757] lr: 1.0000e-04 eta: 1:42:23 time: 0.2347 data_time: 0.0252 memory: 6108 grad_norm: 9.3754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1582 loss: 1.1582 2022/07/23 15:09:39 - mmengine - INFO - Epoch(train) [94][580/3757] lr: 1.0000e-04 eta: 1:42:19 time: 0.2325 data_time: 0.0206 memory: 6108 grad_norm: 9.5933 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/07/23 15:09:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:09:44 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 1.0000e-04 eta: 1:42:14 time: 0.2671 data_time: 0.0190 memory: 6108 grad_norm: 9.2480 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8408 loss: 0.8408 2022/07/23 15:09:49 - mmengine - INFO - Epoch(train) [94][620/3757] lr: 1.0000e-04 eta: 1:42:09 time: 0.2233 data_time: 0.0216 memory: 6108 grad_norm: 9.4667 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8146 loss: 0.8146 2022/07/23 15:09:53 - mmengine - INFO - Epoch(train) [94][640/3757] lr: 1.0000e-04 eta: 1:42:04 time: 0.2297 data_time: 0.0181 memory: 6108 grad_norm: 9.3238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2301 loss: 1.2301 2022/07/23 15:09:58 - mmengine - INFO - Epoch(train) [94][660/3757] lr: 1.0000e-04 eta: 1:42:00 time: 0.2378 data_time: 0.0243 memory: 6108 grad_norm: 9.9094 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2980 loss: 1.2980 2022/07/23 15:10:03 - mmengine - INFO - Epoch(train) [94][680/3757] lr: 1.0000e-04 eta: 1:41:55 time: 0.2695 data_time: 0.0292 memory: 6108 grad_norm: 9.2628 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2545 loss: 1.2545 2022/07/23 15:10:08 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 1.0000e-04 eta: 1:41:50 time: 0.2229 data_time: 0.0193 memory: 6108 grad_norm: 9.2529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/07/23 15:10:13 - mmengine - INFO - Epoch(train) [94][720/3757] lr: 1.0000e-04 eta: 1:41:45 time: 0.2321 data_time: 0.0217 memory: 6108 grad_norm: 9.2436 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 0.8494 loss: 0.8494 2022/07/23 15:10:17 - mmengine - INFO - Epoch(train) [94][740/3757] lr: 1.0000e-04 eta: 1:41:41 time: 0.2346 data_time: 0.0221 memory: 6108 grad_norm: 9.4965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2468 loss: 1.2468 2022/07/23 15:10:22 - mmengine - INFO - Epoch(train) [94][760/3757] lr: 1.0000e-04 eta: 1:41:36 time: 0.2322 data_time: 0.0219 memory: 6108 grad_norm: 8.9629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/07/23 15:10:27 - mmengine - INFO - Epoch(train) [94][780/3757] lr: 1.0000e-04 eta: 1:41:31 time: 0.2460 data_time: 0.0203 memory: 6108 grad_norm: 9.6393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3340 loss: 1.3340 2022/07/23 15:10:32 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 1.0000e-04 eta: 1:41:26 time: 0.2324 data_time: 0.0200 memory: 6108 grad_norm: 9.1431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0046 loss: 1.0046 2022/07/23 15:10:36 - mmengine - INFO - Epoch(train) [94][820/3757] lr: 1.0000e-04 eta: 1:41:21 time: 0.2323 data_time: 0.0239 memory: 6108 grad_norm: 9.4897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1140 loss: 1.1140 2022/07/23 15:10:41 - mmengine - INFO - Epoch(train) [94][840/3757] lr: 1.0000e-04 eta: 1:41:17 time: 0.2274 data_time: 0.0208 memory: 6108 grad_norm: 9.4547 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/07/23 15:10:46 - mmengine - INFO - Epoch(train) [94][860/3757] lr: 1.0000e-04 eta: 1:41:12 time: 0.2588 data_time: 0.0210 memory: 6108 grad_norm: 9.3122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2178 loss: 1.2178 2022/07/23 15:10:51 - mmengine - INFO - Epoch(train) [94][880/3757] lr: 1.0000e-04 eta: 1:41:07 time: 0.2263 data_time: 0.0236 memory: 6108 grad_norm: 9.5860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1950 loss: 1.1950 2022/07/23 15:10:55 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 1.0000e-04 eta: 1:41:02 time: 0.2373 data_time: 0.0195 memory: 6108 grad_norm: 9.1855 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1502 loss: 1.1502 2022/07/23 15:11:00 - mmengine - INFO - Epoch(train) [94][920/3757] lr: 1.0000e-04 eta: 1:40:57 time: 0.2293 data_time: 0.0190 memory: 6108 grad_norm: 9.4631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1979 loss: 1.1979 2022/07/23 15:11:05 - mmengine - INFO - Epoch(train) [94][940/3757] lr: 1.0000e-04 eta: 1:40:53 time: 0.2383 data_time: 0.0314 memory: 6108 grad_norm: 8.8970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/07/23 15:11:10 - mmengine - INFO - Epoch(train) [94][960/3757] lr: 1.0000e-04 eta: 1:40:48 time: 0.2335 data_time: 0.0260 memory: 6108 grad_norm: 9.4495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1050 loss: 1.1050 2022/07/23 15:11:14 - mmengine - INFO - Epoch(train) [94][980/3757] lr: 1.0000e-04 eta: 1:40:43 time: 0.2329 data_time: 0.0254 memory: 6108 grad_norm: 9.2748 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.1158 loss: 1.1158 2022/07/23 15:11:19 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 1.0000e-04 eta: 1:40:38 time: 0.2332 data_time: 0.0251 memory: 6108 grad_norm: 9.5474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9089 loss: 0.9089 2022/07/23 15:11:24 - mmengine - INFO - Epoch(train) [94][1020/3757] lr: 1.0000e-04 eta: 1:40:34 time: 0.2358 data_time: 0.0226 memory: 6108 grad_norm: 9.1949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1173 loss: 1.1173 2022/07/23 15:11:28 - mmengine - INFO - Epoch(train) [94][1040/3757] lr: 1.0000e-04 eta: 1:40:29 time: 0.2329 data_time: 0.0229 memory: 6108 grad_norm: 9.3637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1863 loss: 1.1863 2022/07/23 15:11:33 - mmengine - INFO - Epoch(train) [94][1060/3757] lr: 1.0000e-04 eta: 1:40:24 time: 0.2328 data_time: 0.0241 memory: 6108 grad_norm: 9.3899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/07/23 15:11:38 - mmengine - INFO - Epoch(train) [94][1080/3757] lr: 1.0000e-04 eta: 1:40:19 time: 0.2304 data_time: 0.0223 memory: 6108 grad_norm: 9.2749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/07/23 15:11:42 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 1.0000e-04 eta: 1:40:14 time: 0.2294 data_time: 0.0220 memory: 6108 grad_norm: 9.3382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0847 loss: 1.0847 2022/07/23 15:11:47 - mmengine - INFO - Epoch(train) [94][1120/3757] lr: 1.0000e-04 eta: 1:40:10 time: 0.2437 data_time: 0.0260 memory: 6108 grad_norm: 9.5551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/07/23 15:11:52 - mmengine - INFO - Epoch(train) [94][1140/3757] lr: 1.0000e-04 eta: 1:40:05 time: 0.2281 data_time: 0.0230 memory: 6108 grad_norm: 9.1918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/07/23 15:11:57 - mmengine - INFO - Epoch(train) [94][1160/3757] lr: 1.0000e-04 eta: 1:40:00 time: 0.2346 data_time: 0.0183 memory: 6108 grad_norm: 9.3202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/07/23 15:12:01 - mmengine - INFO - Epoch(train) [94][1180/3757] lr: 1.0000e-04 eta: 1:39:55 time: 0.2344 data_time: 0.0203 memory: 6108 grad_norm: 9.1080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/07/23 15:12:06 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 1.0000e-04 eta: 1:39:51 time: 0.2371 data_time: 0.0218 memory: 6108 grad_norm: 9.1627 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0902 loss: 1.0902 2022/07/23 15:12:11 - mmengine - INFO - Epoch(train) [94][1220/3757] lr: 1.0000e-04 eta: 1:39:46 time: 0.2343 data_time: 0.0215 memory: 6108 grad_norm: 9.0331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0392 loss: 1.0392 2022/07/23 15:12:16 - mmengine - INFO - Epoch(train) [94][1240/3757] lr: 1.0000e-04 eta: 1:39:41 time: 0.2402 data_time: 0.0256 memory: 6108 grad_norm: 8.9766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/07/23 15:12:20 - mmengine - INFO - Epoch(train) [94][1260/3757] lr: 1.0000e-04 eta: 1:39:36 time: 0.2283 data_time: 0.0269 memory: 6108 grad_norm: 9.4249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5296 loss: 1.5296 2022/07/23 15:12:25 - mmengine - INFO - Epoch(train) [94][1280/3757] lr: 1.0000e-04 eta: 1:39:31 time: 0.2354 data_time: 0.0190 memory: 6108 grad_norm: 9.1568 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1711 loss: 1.1711 2022/07/23 15:12:30 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 1.0000e-04 eta: 1:39:27 time: 0.2366 data_time: 0.0275 memory: 6108 grad_norm: 9.1837 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1147 loss: 1.1147 2022/07/23 15:12:34 - mmengine - INFO - Epoch(train) [94][1320/3757] lr: 1.0000e-04 eta: 1:39:22 time: 0.2326 data_time: 0.0167 memory: 6108 grad_norm: 9.1487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1806 loss: 1.1806 2022/07/23 15:12:39 - mmengine - INFO - Epoch(train) [94][1340/3757] lr: 1.0000e-04 eta: 1:39:17 time: 0.2290 data_time: 0.0180 memory: 6108 grad_norm: 9.7097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1907 loss: 1.1907 2022/07/23 15:12:44 - mmengine - INFO - Epoch(train) [94][1360/3757] lr: 1.0000e-04 eta: 1:39:12 time: 0.2362 data_time: 0.0249 memory: 6108 grad_norm: 9.2272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1165 loss: 1.1165 2022/07/23 15:12:48 - mmengine - INFO - Epoch(train) [94][1380/3757] lr: 1.0000e-04 eta: 1:39:08 time: 0.2289 data_time: 0.0204 memory: 6108 grad_norm: 9.0933 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/07/23 15:12:53 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 1.0000e-04 eta: 1:39:03 time: 0.2334 data_time: 0.0189 memory: 6108 grad_norm: 9.2145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9364 loss: 0.9364 2022/07/23 15:12:58 - mmengine - INFO - Epoch(train) [94][1420/3757] lr: 1.0000e-04 eta: 1:38:58 time: 0.2330 data_time: 0.0294 memory: 6108 grad_norm: 9.6320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9746 loss: 0.9746 2022/07/23 15:13:03 - mmengine - INFO - Epoch(train) [94][1440/3757] lr: 1.0000e-04 eta: 1:38:53 time: 0.2341 data_time: 0.0294 memory: 6108 grad_norm: 9.2718 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1160 loss: 1.1160 2022/07/23 15:13:07 - mmengine - INFO - Epoch(train) [94][1460/3757] lr: 1.0000e-04 eta: 1:38:48 time: 0.2347 data_time: 0.0257 memory: 6108 grad_norm: 9.7845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/07/23 15:13:12 - mmengine - INFO - Epoch(train) [94][1480/3757] lr: 1.0000e-04 eta: 1:38:44 time: 0.2307 data_time: 0.0243 memory: 6108 grad_norm: 9.4060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2745 loss: 1.2745 2022/07/23 15:13:17 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 1.0000e-04 eta: 1:38:39 time: 0.2321 data_time: 0.0203 memory: 6108 grad_norm: 9.2573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2665 loss: 1.2665 2022/07/23 15:13:21 - mmengine - INFO - Epoch(train) [94][1520/3757] lr: 1.0000e-04 eta: 1:38:34 time: 0.2311 data_time: 0.0183 memory: 6108 grad_norm: 9.3580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1237 loss: 1.1237 2022/07/23 15:13:26 - mmengine - INFO - Epoch(train) [94][1540/3757] lr: 1.0000e-04 eta: 1:38:29 time: 0.2411 data_time: 0.0199 memory: 6108 grad_norm: 9.5092 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1303 loss: 1.1303 2022/07/23 15:13:31 - mmengine - INFO - Epoch(train) [94][1560/3757] lr: 1.0000e-04 eta: 1:38:25 time: 0.2326 data_time: 0.0262 memory: 6108 grad_norm: 9.1562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8672 loss: 0.8672 2022/07/23 15:13:36 - mmengine - INFO - Epoch(train) [94][1580/3757] lr: 1.0000e-04 eta: 1:38:20 time: 0.2543 data_time: 0.0223 memory: 6108 grad_norm: 9.2330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/07/23 15:13:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:13:40 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 1.0000e-04 eta: 1:38:15 time: 0.2262 data_time: 0.0188 memory: 6108 grad_norm: 9.2360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1534 loss: 1.1534 2022/07/23 15:13:45 - mmengine - INFO - Epoch(train) [94][1620/3757] lr: 1.0000e-04 eta: 1:38:10 time: 0.2497 data_time: 0.0314 memory: 6108 grad_norm: 9.2686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1434 loss: 1.1434 2022/07/23 15:13:50 - mmengine - INFO - Epoch(train) [94][1640/3757] lr: 1.0000e-04 eta: 1:38:05 time: 0.2302 data_time: 0.0239 memory: 6108 grad_norm: 8.9107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9919 loss: 0.9919 2022/07/23 15:13:55 - mmengine - INFO - Epoch(train) [94][1660/3757] lr: 1.0000e-04 eta: 1:38:01 time: 0.2333 data_time: 0.0252 memory: 6108 grad_norm: 9.2346 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0798 loss: 1.0798 2022/07/23 15:14:00 - mmengine - INFO - Epoch(train) [94][1680/3757] lr: 1.0000e-04 eta: 1:37:56 time: 0.2338 data_time: 0.0294 memory: 6108 grad_norm: 9.3435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9450 loss: 0.9450 2022/07/23 15:14:04 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 1.0000e-04 eta: 1:37:51 time: 0.2367 data_time: 0.0203 memory: 6108 grad_norm: 9.0731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/23 15:14:09 - mmengine - INFO - Epoch(train) [94][1720/3757] lr: 1.0000e-04 eta: 1:37:46 time: 0.2282 data_time: 0.0273 memory: 6108 grad_norm: 9.1851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0581 loss: 1.0581 2022/07/23 15:14:14 - mmengine - INFO - Epoch(train) [94][1740/3757] lr: 1.0000e-04 eta: 1:37:42 time: 0.2319 data_time: 0.0196 memory: 6108 grad_norm: 9.1977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1614 loss: 1.1614 2022/07/23 15:14:18 - mmengine - INFO - Epoch(train) [94][1760/3757] lr: 1.0000e-04 eta: 1:37:37 time: 0.2265 data_time: 0.0177 memory: 6108 grad_norm: 8.9944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9750 loss: 0.9750 2022/07/23 15:14:23 - mmengine - INFO - Epoch(train) [94][1780/3757] lr: 1.0000e-04 eta: 1:37:32 time: 0.2295 data_time: 0.0205 memory: 6108 grad_norm: 9.3740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3236 loss: 1.3236 2022/07/23 15:14:27 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 1.0000e-04 eta: 1:37:27 time: 0.2356 data_time: 0.0215 memory: 6108 grad_norm: 9.3870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8783 loss: 0.8783 2022/07/23 15:14:32 - mmengine - INFO - Epoch(train) [94][1820/3757] lr: 1.0000e-04 eta: 1:37:22 time: 0.2354 data_time: 0.0257 memory: 6108 grad_norm: 9.5944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0783 loss: 1.0783 2022/07/23 15:14:37 - mmengine - INFO - Epoch(train) [94][1840/3757] lr: 1.0000e-04 eta: 1:37:18 time: 0.2342 data_time: 0.0235 memory: 6108 grad_norm: 9.5457 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0560 loss: 1.0560 2022/07/23 15:14:42 - mmengine - INFO - Epoch(train) [94][1860/3757] lr: 1.0000e-04 eta: 1:37:13 time: 0.2273 data_time: 0.0237 memory: 6108 grad_norm: 9.2919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0562 loss: 1.0562 2022/07/23 15:14:46 - mmengine - INFO - Epoch(train) [94][1880/3757] lr: 1.0000e-04 eta: 1:37:08 time: 0.2357 data_time: 0.0183 memory: 6108 grad_norm: 8.9398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0288 loss: 1.0288 2022/07/23 15:14:51 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 1.0000e-04 eta: 1:37:03 time: 0.2283 data_time: 0.0204 memory: 6108 grad_norm: 9.4751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1694 loss: 1.1694 2022/07/23 15:14:56 - mmengine - INFO - Epoch(train) [94][1920/3757] lr: 1.0000e-04 eta: 1:36:58 time: 0.2313 data_time: 0.0186 memory: 6108 grad_norm: 9.2272 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/07/23 15:15:00 - mmengine - INFO - Epoch(train) [94][1940/3757] lr: 1.0000e-04 eta: 1:36:54 time: 0.2296 data_time: 0.0226 memory: 6108 grad_norm: 9.1052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8494 loss: 0.8494 2022/07/23 15:15:05 - mmengine - INFO - Epoch(train) [94][1960/3757] lr: 1.0000e-04 eta: 1:36:49 time: 0.2373 data_time: 0.0315 memory: 6108 grad_norm: 9.3985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/07/23 15:15:10 - mmengine - INFO - Epoch(train) [94][1980/3757] lr: 1.0000e-04 eta: 1:36:44 time: 0.2325 data_time: 0.0200 memory: 6108 grad_norm: 8.9825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/07/23 15:15:15 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 1.0000e-04 eta: 1:36:39 time: 0.2481 data_time: 0.0237 memory: 6108 grad_norm: 9.3000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1668 loss: 1.1668 2022/07/23 15:15:19 - mmengine - INFO - Epoch(train) [94][2020/3757] lr: 1.0000e-04 eta: 1:36:35 time: 0.2297 data_time: 0.0230 memory: 6108 grad_norm: 8.9328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/07/23 15:15:24 - mmengine - INFO - Epoch(train) [94][2040/3757] lr: 1.0000e-04 eta: 1:36:30 time: 0.2328 data_time: 0.0220 memory: 6108 grad_norm: 9.0252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1926 loss: 1.1926 2022/07/23 15:15:29 - mmengine - INFO - Epoch(train) [94][2060/3757] lr: 1.0000e-04 eta: 1:36:25 time: 0.2292 data_time: 0.0196 memory: 6108 grad_norm: 9.8628 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/07/23 15:15:33 - mmengine - INFO - Epoch(train) [94][2080/3757] lr: 1.0000e-04 eta: 1:36:20 time: 0.2310 data_time: 0.0225 memory: 6108 grad_norm: 9.5325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3228 loss: 1.3228 2022/07/23 15:15:38 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 1.0000e-04 eta: 1:36:15 time: 0.2320 data_time: 0.0209 memory: 6108 grad_norm: 9.4250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/07/23 15:15:42 - mmengine - INFO - Epoch(train) [94][2120/3757] lr: 1.0000e-04 eta: 1:36:11 time: 0.2264 data_time: 0.0231 memory: 6108 grad_norm: 9.4194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/07/23 15:15:47 - mmengine - INFO - Epoch(train) [94][2140/3757] lr: 1.0000e-04 eta: 1:36:06 time: 0.2334 data_time: 0.0239 memory: 6108 grad_norm: 9.7045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5046 loss: 1.5046 2022/07/23 15:15:52 - mmengine - INFO - Epoch(train) [94][2160/3757] lr: 1.0000e-04 eta: 1:36:01 time: 0.2318 data_time: 0.0196 memory: 6108 grad_norm: 9.4025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/07/23 15:15:57 - mmengine - INFO - Epoch(train) [94][2180/3757] lr: 1.0000e-04 eta: 1:35:56 time: 0.2411 data_time: 0.0246 memory: 6108 grad_norm: 9.6560 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2388 loss: 1.2388 2022/07/23 15:16:01 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 1.0000e-04 eta: 1:35:52 time: 0.2309 data_time: 0.0229 memory: 6108 grad_norm: 9.5705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/07/23 15:16:06 - mmengine - INFO - Epoch(train) [94][2220/3757] lr: 1.0000e-04 eta: 1:35:47 time: 0.2383 data_time: 0.0198 memory: 6108 grad_norm: 9.0707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8391 loss: 0.8391 2022/07/23 15:16:11 - mmengine - INFO - Epoch(train) [94][2240/3757] lr: 1.0000e-04 eta: 1:35:42 time: 0.2301 data_time: 0.0261 memory: 6108 grad_norm: 9.5261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1797 loss: 1.1797 2022/07/23 15:16:16 - mmengine - INFO - Epoch(train) [94][2260/3757] lr: 1.0000e-04 eta: 1:35:37 time: 0.2373 data_time: 0.0279 memory: 6108 grad_norm: 9.5982 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/07/23 15:16:20 - mmengine - INFO - Epoch(train) [94][2280/3757] lr: 1.0000e-04 eta: 1:35:32 time: 0.2283 data_time: 0.0239 memory: 6108 grad_norm: 9.3250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/07/23 15:16:25 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 1.0000e-04 eta: 1:35:28 time: 0.2286 data_time: 0.0209 memory: 6108 grad_norm: 9.5963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/07/23 15:16:29 - mmengine - INFO - Epoch(train) [94][2320/3757] lr: 1.0000e-04 eta: 1:35:23 time: 0.2345 data_time: 0.0224 memory: 6108 grad_norm: 9.0844 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3084 loss: 1.3084 2022/07/23 15:16:34 - mmengine - INFO - Epoch(train) [94][2340/3757] lr: 1.0000e-04 eta: 1:35:18 time: 0.2343 data_time: 0.0188 memory: 6108 grad_norm: 9.5810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5836 loss: 1.5836 2022/07/23 15:16:39 - mmengine - INFO - Epoch(train) [94][2360/3757] lr: 1.0000e-04 eta: 1:35:13 time: 0.2282 data_time: 0.0224 memory: 6108 grad_norm: 9.0047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/07/23 15:16:43 - mmengine - INFO - Epoch(train) [94][2380/3757] lr: 1.0000e-04 eta: 1:35:08 time: 0.2275 data_time: 0.0196 memory: 6108 grad_norm: 9.1584 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0419 loss: 1.0419 2022/07/23 15:16:48 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 1.0000e-04 eta: 1:35:04 time: 0.2354 data_time: 0.0282 memory: 6108 grad_norm: 9.4611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0566 loss: 1.0566 2022/07/23 15:16:53 - mmengine - INFO - Epoch(train) [94][2420/3757] lr: 1.0000e-04 eta: 1:34:59 time: 0.2336 data_time: 0.0175 memory: 6108 grad_norm: 9.0837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9130 loss: 0.9130 2022/07/23 15:16:58 - mmengine - INFO - Epoch(train) [94][2440/3757] lr: 1.0000e-04 eta: 1:34:54 time: 0.2354 data_time: 0.0203 memory: 6108 grad_norm: 8.8852 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1332 loss: 1.1332 2022/07/23 15:17:02 - mmengine - INFO - Epoch(train) [94][2460/3757] lr: 1.0000e-04 eta: 1:34:49 time: 0.2306 data_time: 0.0191 memory: 6108 grad_norm: 9.3272 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9680 loss: 0.9680 2022/07/23 15:17:07 - mmengine - INFO - Epoch(train) [94][2480/3757] lr: 1.0000e-04 eta: 1:34:45 time: 0.2350 data_time: 0.0242 memory: 6108 grad_norm: 9.5561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1011 loss: 1.1011 2022/07/23 15:17:12 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 1.0000e-04 eta: 1:34:40 time: 0.2349 data_time: 0.0227 memory: 6108 grad_norm: 9.4182 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1254 loss: 1.1254 2022/07/23 15:17:16 - mmengine - INFO - Epoch(train) [94][2520/3757] lr: 1.0000e-04 eta: 1:34:35 time: 0.2315 data_time: 0.0207 memory: 6108 grad_norm: 9.1770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3134 loss: 1.3134 2022/07/23 15:17:21 - mmengine - INFO - Epoch(train) [94][2540/3757] lr: 1.0000e-04 eta: 1:34:30 time: 0.2329 data_time: 0.0251 memory: 6108 grad_norm: 9.0072 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1131 loss: 1.1131 2022/07/23 15:17:26 - mmengine - INFO - Epoch(train) [94][2560/3757] lr: 1.0000e-04 eta: 1:34:25 time: 0.2343 data_time: 0.0218 memory: 6108 grad_norm: 9.4899 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2356 loss: 1.2356 2022/07/23 15:17:30 - mmengine - INFO - Epoch(train) [94][2580/3757] lr: 1.0000e-04 eta: 1:34:21 time: 0.2333 data_time: 0.0226 memory: 6108 grad_norm: 9.2899 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4708 loss: 1.4708 2022/07/23 15:17:35 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:17:35 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 1.0000e-04 eta: 1:34:16 time: 0.2319 data_time: 0.0206 memory: 6108 grad_norm: 9.1037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1776 loss: 1.1776 2022/07/23 15:17:40 - mmengine - INFO - Epoch(train) [94][2620/3757] lr: 1.0000e-04 eta: 1:34:11 time: 0.2359 data_time: 0.0208 memory: 6108 grad_norm: 8.9536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0021 loss: 1.0021 2022/07/23 15:17:44 - mmengine - INFO - Epoch(train) [94][2640/3757] lr: 1.0000e-04 eta: 1:34:06 time: 0.2311 data_time: 0.0240 memory: 6108 grad_norm: 9.3441 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/07/23 15:17:49 - mmengine - INFO - Epoch(train) [94][2660/3757] lr: 1.0000e-04 eta: 1:34:02 time: 0.2244 data_time: 0.0232 memory: 6108 grad_norm: 8.8493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1930 loss: 1.1930 2022/07/23 15:17:54 - mmengine - INFO - Epoch(train) [94][2680/3757] lr: 1.0000e-04 eta: 1:33:57 time: 0.2408 data_time: 0.0294 memory: 6108 grad_norm: 9.5104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2980 loss: 1.2980 2022/07/23 15:17:59 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 1.0000e-04 eta: 1:33:52 time: 0.2334 data_time: 0.0173 memory: 6108 grad_norm: 9.5693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2126 loss: 1.2126 2022/07/23 15:18:03 - mmengine - INFO - Epoch(train) [94][2720/3757] lr: 1.0000e-04 eta: 1:33:47 time: 0.2311 data_time: 0.0240 memory: 6108 grad_norm: 9.3174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/07/23 15:18:08 - mmengine - INFO - Epoch(train) [94][2740/3757] lr: 1.0000e-04 eta: 1:33:42 time: 0.2329 data_time: 0.0248 memory: 6108 grad_norm: 9.4546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5172 loss: 1.5172 2022/07/23 15:18:13 - mmengine - INFO - Epoch(train) [94][2760/3757] lr: 1.0000e-04 eta: 1:33:38 time: 0.2303 data_time: 0.0192 memory: 6108 grad_norm: 9.2055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/07/23 15:18:18 - mmengine - INFO - Epoch(train) [94][2780/3757] lr: 1.0000e-04 eta: 1:33:33 time: 0.2512 data_time: 0.0246 memory: 6108 grad_norm: 9.7550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0568 loss: 1.0568 2022/07/23 15:18:22 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 1.0000e-04 eta: 1:33:28 time: 0.2286 data_time: 0.0188 memory: 6108 grad_norm: 9.1529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/07/23 15:18:27 - mmengine - INFO - Epoch(train) [94][2820/3757] lr: 1.0000e-04 eta: 1:33:23 time: 0.2377 data_time: 0.0182 memory: 6108 grad_norm: 9.3887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1462 loss: 1.1462 2022/07/23 15:18:32 - mmengine - INFO - Epoch(train) [94][2840/3757] lr: 1.0000e-04 eta: 1:33:19 time: 0.2477 data_time: 0.0332 memory: 6108 grad_norm: 9.3920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1973 loss: 1.1973 2022/07/23 15:18:37 - mmengine - INFO - Epoch(train) [94][2860/3757] lr: 1.0000e-04 eta: 1:33:14 time: 0.2421 data_time: 0.0229 memory: 6108 grad_norm: 9.3209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2906 loss: 1.2906 2022/07/23 15:18:41 - mmengine - INFO - Epoch(train) [94][2880/3757] lr: 1.0000e-04 eta: 1:33:09 time: 0.2318 data_time: 0.0297 memory: 6108 grad_norm: 9.3280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9664 loss: 0.9664 2022/07/23 15:18:46 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 1.0000e-04 eta: 1:33:04 time: 0.2467 data_time: 0.0255 memory: 6108 grad_norm: 9.1534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0656 loss: 1.0656 2022/07/23 15:18:51 - mmengine - INFO - Epoch(train) [94][2920/3757] lr: 1.0000e-04 eta: 1:32:59 time: 0.2314 data_time: 0.0236 memory: 6108 grad_norm: 9.4091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1935 loss: 1.1935 2022/07/23 15:18:56 - mmengine - INFO - Epoch(train) [94][2940/3757] lr: 1.0000e-04 eta: 1:32:55 time: 0.2350 data_time: 0.0266 memory: 6108 grad_norm: 9.5982 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1299 loss: 1.1299 2022/07/23 15:19:01 - mmengine - INFO - Epoch(train) [94][2960/3757] lr: 1.0000e-04 eta: 1:32:50 time: 0.2370 data_time: 0.0283 memory: 6108 grad_norm: 9.1373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9627 loss: 0.9627 2022/07/23 15:19:06 - mmengine - INFO - Epoch(train) [94][2980/3757] lr: 1.0000e-04 eta: 1:32:45 time: 0.2467 data_time: 0.0308 memory: 6108 grad_norm: 9.2656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9083 loss: 0.9083 2022/07/23 15:19:10 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 1.0000e-04 eta: 1:32:40 time: 0.2345 data_time: 0.0283 memory: 6108 grad_norm: 9.2485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2747 loss: 1.2747 2022/07/23 15:19:15 - mmengine - INFO - Epoch(train) [94][3020/3757] lr: 1.0000e-04 eta: 1:32:36 time: 0.2349 data_time: 0.0197 memory: 6108 grad_norm: 8.8001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9780 loss: 0.9780 2022/07/23 15:19:20 - mmengine - INFO - Epoch(train) [94][3040/3757] lr: 1.0000e-04 eta: 1:32:31 time: 0.2308 data_time: 0.0212 memory: 6108 grad_norm: 9.5200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/07/23 15:19:24 - mmengine - INFO - Epoch(train) [94][3060/3757] lr: 1.0000e-04 eta: 1:32:26 time: 0.2373 data_time: 0.0237 memory: 6108 grad_norm: 9.5302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9232 loss: 0.9232 2022/07/23 15:19:29 - mmengine - INFO - Epoch(train) [94][3080/3757] lr: 1.0000e-04 eta: 1:32:21 time: 0.2303 data_time: 0.0231 memory: 6108 grad_norm: 9.4554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1191 loss: 1.1191 2022/07/23 15:19:34 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 1.0000e-04 eta: 1:32:16 time: 0.2317 data_time: 0.0255 memory: 6108 grad_norm: 9.2398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/07/23 15:19:38 - mmengine - INFO - Epoch(train) [94][3120/3757] lr: 1.0000e-04 eta: 1:32:12 time: 0.2272 data_time: 0.0188 memory: 6108 grad_norm: 9.5155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1519 loss: 1.1519 2022/07/23 15:19:43 - mmengine - INFO - Epoch(train) [94][3140/3757] lr: 1.0000e-04 eta: 1:32:07 time: 0.2277 data_time: 0.0201 memory: 6108 grad_norm: 9.6405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/07/23 15:19:48 - mmengine - INFO - Epoch(train) [94][3160/3757] lr: 1.0000e-04 eta: 1:32:02 time: 0.2451 data_time: 0.0208 memory: 6108 grad_norm: 9.4238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/07/23 15:19:53 - mmengine - INFO - Epoch(train) [94][3180/3757] lr: 1.0000e-04 eta: 1:31:57 time: 0.2313 data_time: 0.0205 memory: 6108 grad_norm: 9.5695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1824 loss: 1.1824 2022/07/23 15:19:57 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 1.0000e-04 eta: 1:31:53 time: 0.2325 data_time: 0.0177 memory: 6108 grad_norm: 9.1852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8942 loss: 0.8942 2022/07/23 15:20:02 - mmengine - INFO - Epoch(train) [94][3220/3757] lr: 1.0000e-04 eta: 1:31:48 time: 0.2324 data_time: 0.0262 memory: 6108 grad_norm: 9.4195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9304 loss: 0.9304 2022/07/23 15:20:07 - mmengine - INFO - Epoch(train) [94][3240/3757] lr: 1.0000e-04 eta: 1:31:43 time: 0.2380 data_time: 0.0215 memory: 6108 grad_norm: 9.3795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8529 loss: 0.8529 2022/07/23 15:20:12 - mmengine - INFO - Epoch(train) [94][3260/3757] lr: 1.0000e-04 eta: 1:31:38 time: 0.2450 data_time: 0.0248 memory: 6108 grad_norm: 9.1503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0924 loss: 1.0924 2022/07/23 15:20:16 - mmengine - INFO - Epoch(train) [94][3280/3757] lr: 1.0000e-04 eta: 1:31:33 time: 0.2302 data_time: 0.0277 memory: 6108 grad_norm: 9.4289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3243 loss: 1.3243 2022/07/23 15:20:21 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 1.0000e-04 eta: 1:31:29 time: 0.2323 data_time: 0.0215 memory: 6108 grad_norm: 9.2738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/07/23 15:20:26 - mmengine - INFO - Epoch(train) [94][3320/3757] lr: 1.0000e-04 eta: 1:31:24 time: 0.2461 data_time: 0.0233 memory: 6108 grad_norm: 9.4395 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0241 loss: 1.0241 2022/07/23 15:20:31 - mmengine - INFO - Epoch(train) [94][3340/3757] lr: 1.0000e-04 eta: 1:31:19 time: 0.2359 data_time: 0.0264 memory: 6108 grad_norm: 9.7968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2428 loss: 1.2428 2022/07/23 15:20:35 - mmengine - INFO - Epoch(train) [94][3360/3757] lr: 1.0000e-04 eta: 1:31:14 time: 0.2320 data_time: 0.0225 memory: 6108 grad_norm: 9.3134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3756 loss: 1.3756 2022/07/23 15:20:40 - mmengine - INFO - Epoch(train) [94][3380/3757] lr: 1.0000e-04 eta: 1:31:10 time: 0.2354 data_time: 0.0196 memory: 6108 grad_norm: 9.2771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1949 loss: 1.1949 2022/07/23 15:20:45 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 1.0000e-04 eta: 1:31:05 time: 0.2575 data_time: 0.0310 memory: 6108 grad_norm: 9.3966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0870 loss: 1.0870 2022/07/23 15:20:50 - mmengine - INFO - Epoch(train) [94][3420/3757] lr: 1.0000e-04 eta: 1:31:00 time: 0.2293 data_time: 0.0189 memory: 6108 grad_norm: 9.7970 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3122 loss: 1.3122 2022/07/23 15:20:55 - mmengine - INFO - Epoch(train) [94][3440/3757] lr: 1.0000e-04 eta: 1:30:55 time: 0.2331 data_time: 0.0285 memory: 6108 grad_norm: 9.3761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1061 loss: 1.1061 2022/07/23 15:20:59 - mmengine - INFO - Epoch(train) [94][3460/3757] lr: 1.0000e-04 eta: 1:30:50 time: 0.2390 data_time: 0.0230 memory: 6108 grad_norm: 9.5463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/07/23 15:21:05 - mmengine - INFO - Epoch(train) [94][3480/3757] lr: 1.0000e-04 eta: 1:30:46 time: 0.2588 data_time: 0.0541 memory: 6108 grad_norm: 9.5218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/23 15:21:09 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 1.0000e-04 eta: 1:30:41 time: 0.2286 data_time: 0.0220 memory: 6108 grad_norm: 9.4490 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/07/23 15:21:14 - mmengine - INFO - Epoch(train) [94][3520/3757] lr: 1.0000e-04 eta: 1:30:36 time: 0.2492 data_time: 0.0229 memory: 6108 grad_norm: 9.2191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0915 loss: 1.0915 2022/07/23 15:21:19 - mmengine - INFO - Epoch(train) [94][3540/3757] lr: 1.0000e-04 eta: 1:30:31 time: 0.2259 data_time: 0.0247 memory: 6108 grad_norm: 9.0819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9153 loss: 0.9153 2022/07/23 15:21:24 - mmengine - INFO - Epoch(train) [94][3560/3757] lr: 1.0000e-04 eta: 1:30:27 time: 0.2423 data_time: 0.0249 memory: 6108 grad_norm: 9.1417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/07/23 15:21:28 - mmengine - INFO - Epoch(train) [94][3580/3757] lr: 1.0000e-04 eta: 1:30:22 time: 0.2325 data_time: 0.0185 memory: 6108 grad_norm: 8.9390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/07/23 15:21:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:21:33 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 1.0000e-04 eta: 1:30:17 time: 0.2327 data_time: 0.0169 memory: 6108 grad_norm: 9.2456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2749 loss: 1.2749 2022/07/23 15:21:38 - mmengine - INFO - Epoch(train) [94][3620/3757] lr: 1.0000e-04 eta: 1:30:12 time: 0.2389 data_time: 0.0228 memory: 6108 grad_norm: 9.1826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1968 loss: 1.1968 2022/07/23 15:21:42 - mmengine - INFO - Epoch(train) [94][3640/3757] lr: 1.0000e-04 eta: 1:30:08 time: 0.2295 data_time: 0.0205 memory: 6108 grad_norm: 9.4072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/07/23 15:21:47 - mmengine - INFO - Epoch(train) [94][3660/3757] lr: 1.0000e-04 eta: 1:30:03 time: 0.2301 data_time: 0.0204 memory: 6108 grad_norm: 9.2793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9162 loss: 0.9162 2022/07/23 15:21:52 - mmengine - INFO - Epoch(train) [94][3680/3757] lr: 1.0000e-04 eta: 1:29:58 time: 0.2348 data_time: 0.0211 memory: 6108 grad_norm: 9.5272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/07/23 15:21:57 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 1.0000e-04 eta: 1:29:53 time: 0.2426 data_time: 0.0213 memory: 6108 grad_norm: 9.7105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2300 loss: 1.2300 2022/07/23 15:22:01 - mmengine - INFO - Epoch(train) [94][3720/3757] lr: 1.0000e-04 eta: 1:29:48 time: 0.2347 data_time: 0.0209 memory: 6108 grad_norm: 9.4839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3988 loss: 1.3988 2022/07/23 15:22:06 - mmengine - INFO - Epoch(train) [94][3740/3757] lr: 1.0000e-04 eta: 1:29:44 time: 0.2363 data_time: 0.0202 memory: 6108 grad_norm: 9.1240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2369 loss: 1.2369 2022/07/23 15:22:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:22:09 - mmengine - INFO - Epoch(train) [94][3757/3757] lr: 1.0000e-04 eta: 1:29:44 time: 0.1959 data_time: 0.0171 memory: 6108 grad_norm: 9.4573 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.4530 loss: 1.4530 2022/07/23 15:22:15 - mmengine - INFO - Epoch(val) [94][20/310] eta: 0:01:21 time: 0.2818 data_time: 0.2021 memory: 1428 2022/07/23 15:22:19 - mmengine - INFO - Epoch(val) [94][40/310] eta: 0:00:49 time: 0.1849 data_time: 0.1071 memory: 1428 2022/07/23 15:22:23 - mmengine - INFO - Epoch(val) [94][60/310] eta: 0:00:55 time: 0.2200 data_time: 0.1417 memory: 1428 2022/07/23 15:22:27 - mmengine - INFO - Epoch(val) [94][80/310] eta: 0:00:48 time: 0.2097 data_time: 0.1308 memory: 1428 2022/07/23 15:22:32 - mmengine - INFO - Epoch(val) [94][100/310] eta: 0:00:43 time: 0.2085 data_time: 0.1261 memory: 1428 2022/07/23 15:22:36 - mmengine - INFO - Epoch(val) [94][120/310] eta: 0:00:44 time: 0.2358 data_time: 0.1604 memory: 1428 2022/07/23 15:22:41 - mmengine - INFO - Epoch(val) [94][140/310] eta: 0:00:36 time: 0.2158 data_time: 0.1392 memory: 1428 2022/07/23 15:22:45 - mmengine - INFO - Epoch(val) [94][160/310] eta: 0:00:32 time: 0.2198 data_time: 0.1431 memory: 1428 2022/07/23 15:22:51 - mmengine - INFO - Epoch(val) [94][180/310] eta: 0:00:38 time: 0.2942 data_time: 0.2183 memory: 1428 2022/07/23 15:22:56 - mmengine - INFO - Epoch(val) [94][200/310] eta: 0:00:26 time: 0.2396 data_time: 0.1636 memory: 1428 2022/07/23 15:22:59 - mmengine - INFO - Epoch(val) [94][220/310] eta: 0:00:15 time: 0.1755 data_time: 0.0968 memory: 1428 2022/07/23 15:23:04 - mmengine - INFO - Epoch(val) [94][240/310] eta: 0:00:16 time: 0.2340 data_time: 0.1568 memory: 1428 2022/07/23 15:23:08 - mmengine - INFO - Epoch(val) [94][260/310] eta: 0:00:09 time: 0.1858 data_time: 0.1102 memory: 1428 2022/07/23 15:23:12 - mmengine - INFO - Epoch(val) [94][280/310] eta: 0:00:07 time: 0.2343 data_time: 0.1591 memory: 1428 2022/07/23 15:23:16 - mmengine - INFO - Epoch(val) [94][300/310] eta: 0:00:01 time: 0.1812 data_time: 0.1121 memory: 1428 2022/07/23 15:23:19 - mmengine - INFO - Epoch(val) [94][310/310] acc/top1: 0.6660 acc/top5: 0.8677 acc/mean1: 0.6659 2022/07/23 15:23:26 - mmengine - INFO - Epoch(train) [95][20/3757] lr: 1.0000e-04 eta: 1:29:35 time: 0.3649 data_time: 0.1092 memory: 6108 grad_norm: 9.4074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2648 loss: 1.2648 2022/07/23 15:23:31 - mmengine - INFO - Epoch(train) [95][40/3757] lr: 1.0000e-04 eta: 1:29:30 time: 0.2301 data_time: 0.0244 memory: 6108 grad_norm: 9.0410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/07/23 15:23:35 - mmengine - INFO - Epoch(train) [95][60/3757] lr: 1.0000e-04 eta: 1:29:25 time: 0.2378 data_time: 0.0229 memory: 6108 grad_norm: 9.2679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0738 loss: 1.0738 2022/07/23 15:23:40 - mmengine - INFO - Epoch(train) [95][80/3757] lr: 1.0000e-04 eta: 1:29:20 time: 0.2338 data_time: 0.0199 memory: 6108 grad_norm: 9.0156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1147 loss: 1.1147 2022/07/23 15:23:45 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 1.0000e-04 eta: 1:29:16 time: 0.2309 data_time: 0.0223 memory: 6108 grad_norm: 9.2461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3462 loss: 1.3462 2022/07/23 15:23:49 - mmengine - INFO - Epoch(train) [95][120/3757] lr: 1.0000e-04 eta: 1:29:11 time: 0.2303 data_time: 0.0254 memory: 6108 grad_norm: 9.0309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2055 loss: 1.2055 2022/07/23 15:23:54 - mmengine - INFO - Epoch(train) [95][140/3757] lr: 1.0000e-04 eta: 1:29:06 time: 0.2303 data_time: 0.0205 memory: 6108 grad_norm: 9.0178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8262 loss: 0.8262 2022/07/23 15:23:59 - mmengine - INFO - Epoch(train) [95][160/3757] lr: 1.0000e-04 eta: 1:29:01 time: 0.2307 data_time: 0.0245 memory: 6108 grad_norm: 9.2902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/07/23 15:24:03 - mmengine - INFO - Epoch(train) [95][180/3757] lr: 1.0000e-04 eta: 1:28:56 time: 0.2286 data_time: 0.0214 memory: 6108 grad_norm: 9.0353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/23 15:24:08 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 1.0000e-04 eta: 1:28:52 time: 0.2351 data_time: 0.0195 memory: 6108 grad_norm: 9.6530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/07/23 15:24:13 - mmengine - INFO - Epoch(train) [95][220/3757] lr: 1.0000e-04 eta: 1:28:47 time: 0.2330 data_time: 0.0223 memory: 6108 grad_norm: 9.2220 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/07/23 15:24:17 - mmengine - INFO - Epoch(train) [95][240/3757] lr: 1.0000e-04 eta: 1:28:42 time: 0.2327 data_time: 0.0229 memory: 6108 grad_norm: 9.4003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9857 loss: 0.9857 2022/07/23 15:24:22 - mmengine - INFO - Epoch(train) [95][260/3757] lr: 1.0000e-04 eta: 1:28:37 time: 0.2316 data_time: 0.0223 memory: 6108 grad_norm: 9.5977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/07/23 15:24:27 - mmengine - INFO - Epoch(train) [95][280/3757] lr: 1.0000e-04 eta: 1:28:33 time: 0.2394 data_time: 0.0170 memory: 6108 grad_norm: 9.5159 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0422 loss: 1.0422 2022/07/23 15:24:32 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 1.0000e-04 eta: 1:28:28 time: 0.2377 data_time: 0.0204 memory: 6108 grad_norm: 9.4596 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9829 loss: 0.9829 2022/07/23 15:24:36 - mmengine - INFO - Epoch(train) [95][320/3757] lr: 1.0000e-04 eta: 1:28:23 time: 0.2379 data_time: 0.0206 memory: 6108 grad_norm: 9.3088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/07/23 15:24:41 - mmengine - INFO - Epoch(train) [95][340/3757] lr: 1.0000e-04 eta: 1:28:18 time: 0.2274 data_time: 0.0223 memory: 6108 grad_norm: 9.5526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/07/23 15:24:46 - mmengine - INFO - Epoch(train) [95][360/3757] lr: 1.0000e-04 eta: 1:28:13 time: 0.2418 data_time: 0.0323 memory: 6108 grad_norm: 9.4181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0932 loss: 1.0932 2022/07/23 15:24:51 - mmengine - INFO - Epoch(train) [95][380/3757] lr: 1.0000e-04 eta: 1:28:09 time: 0.2305 data_time: 0.0191 memory: 6108 grad_norm: 9.5167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/07/23 15:24:55 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 1.0000e-04 eta: 1:28:04 time: 0.2379 data_time: 0.0198 memory: 6108 grad_norm: 9.2259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/07/23 15:25:00 - mmengine - INFO - Epoch(train) [95][420/3757] lr: 1.0000e-04 eta: 1:27:59 time: 0.2319 data_time: 0.0305 memory: 6108 grad_norm: 9.3003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9648 loss: 0.9648 2022/07/23 15:25:05 - mmengine - INFO - Epoch(train) [95][440/3757] lr: 1.0000e-04 eta: 1:27:54 time: 0.2399 data_time: 0.0259 memory: 6108 grad_norm: 9.2557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1587 loss: 1.1587 2022/07/23 15:25:10 - mmengine - INFO - Epoch(train) [95][460/3757] lr: 1.0000e-04 eta: 1:27:50 time: 0.2328 data_time: 0.0215 memory: 6108 grad_norm: 9.5917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/07/23 15:25:14 - mmengine - INFO - Epoch(train) [95][480/3757] lr: 1.0000e-04 eta: 1:27:45 time: 0.2372 data_time: 0.0220 memory: 6108 grad_norm: 9.3161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/07/23 15:25:19 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 1.0000e-04 eta: 1:27:40 time: 0.2316 data_time: 0.0297 memory: 6108 grad_norm: 9.7450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3098 loss: 1.3098 2022/07/23 15:25:24 - mmengine - INFO - Epoch(train) [95][520/3757] lr: 1.0000e-04 eta: 1:27:35 time: 0.2350 data_time: 0.0237 memory: 6108 grad_norm: 9.7154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0561 loss: 1.0561 2022/07/23 15:25:28 - mmengine - INFO - Epoch(train) [95][540/3757] lr: 1.0000e-04 eta: 1:27:30 time: 0.2327 data_time: 0.0298 memory: 6108 grad_norm: 9.4636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3381 loss: 1.3381 2022/07/23 15:25:33 - mmengine - INFO - Epoch(train) [95][560/3757] lr: 1.0000e-04 eta: 1:27:26 time: 0.2322 data_time: 0.0248 memory: 6108 grad_norm: 9.3292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0878 loss: 1.0878 2022/07/23 15:25:38 - mmengine - INFO - Epoch(train) [95][580/3757] lr: 1.0000e-04 eta: 1:27:21 time: 0.2371 data_time: 0.0218 memory: 6108 grad_norm: 9.5254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2651 loss: 1.2651 2022/07/23 15:25:43 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 1.0000e-04 eta: 1:27:16 time: 0.2328 data_time: 0.0309 memory: 6108 grad_norm: 9.3032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/07/23 15:25:47 - mmengine - INFO - Epoch(train) [95][620/3757] lr: 1.0000e-04 eta: 1:27:11 time: 0.2341 data_time: 0.0220 memory: 6108 grad_norm: 9.4794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1115 loss: 1.1115 2022/07/23 15:25:52 - mmengine - INFO - Epoch(train) [95][640/3757] lr: 1.0000e-04 eta: 1:27:07 time: 0.2397 data_time: 0.0239 memory: 6108 grad_norm: 9.1223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1023 loss: 1.1023 2022/07/23 15:25:57 - mmengine - INFO - Epoch(train) [95][660/3757] lr: 1.0000e-04 eta: 1:27:02 time: 0.2363 data_time: 0.0280 memory: 6108 grad_norm: 9.6291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/07/23 15:26:01 - mmengine - INFO - Epoch(train) [95][680/3757] lr: 1.0000e-04 eta: 1:26:57 time: 0.2320 data_time: 0.0223 memory: 6108 grad_norm: 9.1983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0509 loss: 1.0509 2022/07/23 15:26:06 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 1.0000e-04 eta: 1:26:52 time: 0.2292 data_time: 0.0250 memory: 6108 grad_norm: 9.4437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8361 loss: 0.8361 2022/07/23 15:26:11 - mmengine - INFO - Epoch(train) [95][720/3757] lr: 1.0000e-04 eta: 1:26:47 time: 0.2289 data_time: 0.0266 memory: 6108 grad_norm: 9.5376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8458 loss: 0.8458 2022/07/23 15:26:15 - mmengine - INFO - Epoch(train) [95][740/3757] lr: 1.0000e-04 eta: 1:26:43 time: 0.2325 data_time: 0.0200 memory: 6108 grad_norm: 9.4133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2995 loss: 1.2995 2022/07/23 15:26:20 - mmengine - INFO - Epoch(train) [95][760/3757] lr: 1.0000e-04 eta: 1:26:38 time: 0.2286 data_time: 0.0212 memory: 6108 grad_norm: 9.2132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/07/23 15:26:25 - mmengine - INFO - Epoch(train) [95][780/3757] lr: 1.0000e-04 eta: 1:26:33 time: 0.2330 data_time: 0.0230 memory: 6108 grad_norm: 9.2384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0874 loss: 1.0874 2022/07/23 15:26:29 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 1.0000e-04 eta: 1:26:28 time: 0.2319 data_time: 0.0312 memory: 6108 grad_norm: 9.0927 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2141 loss: 1.2141 2022/07/23 15:26:34 - mmengine - INFO - Epoch(train) [95][820/3757] lr: 1.0000e-04 eta: 1:26:24 time: 0.2310 data_time: 0.0201 memory: 6108 grad_norm: 9.8530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2080 loss: 1.2080 2022/07/23 15:26:39 - mmengine - INFO - Epoch(train) [95][840/3757] lr: 1.0000e-04 eta: 1:26:19 time: 0.2383 data_time: 0.0281 memory: 6108 grad_norm: 9.4832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/07/23 15:26:39 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:26:44 - mmengine - INFO - Epoch(train) [95][860/3757] lr: 1.0000e-04 eta: 1:26:14 time: 0.2390 data_time: 0.0237 memory: 6108 grad_norm: 9.3980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0387 loss: 1.0387 2022/07/23 15:26:48 - mmengine - INFO - Epoch(train) [95][880/3757] lr: 1.0000e-04 eta: 1:26:09 time: 0.2357 data_time: 0.0188 memory: 6108 grad_norm: 9.4535 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0522 loss: 1.0522 2022/07/23 15:26:53 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 1.0000e-04 eta: 1:26:04 time: 0.2325 data_time: 0.0265 memory: 6108 grad_norm: 9.4402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9532 loss: 0.9532 2022/07/23 15:26:58 - mmengine - INFO - Epoch(train) [95][920/3757] lr: 1.0000e-04 eta: 1:26:00 time: 0.2355 data_time: 0.0199 memory: 6108 grad_norm: 9.4531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/07/23 15:27:03 - mmengine - INFO - Epoch(train) [95][940/3757] lr: 1.0000e-04 eta: 1:25:55 time: 0.2382 data_time: 0.0176 memory: 6108 grad_norm: 9.5932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5582 loss: 1.5582 2022/07/23 15:27:07 - mmengine - INFO - Epoch(train) [95][960/3757] lr: 1.0000e-04 eta: 1:25:50 time: 0.2334 data_time: 0.0303 memory: 6108 grad_norm: 9.5834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4801 loss: 1.4801 2022/07/23 15:27:12 - mmengine - INFO - Epoch(train) [95][980/3757] lr: 1.0000e-04 eta: 1:25:45 time: 0.2299 data_time: 0.0226 memory: 6108 grad_norm: 9.0361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0452 loss: 1.0452 2022/07/23 15:27:17 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 1.0000e-04 eta: 1:25:41 time: 0.2536 data_time: 0.0176 memory: 6108 grad_norm: 9.1395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0002 loss: 1.0002 2022/07/23 15:27:22 - mmengine - INFO - Epoch(train) [95][1020/3757] lr: 1.0000e-04 eta: 1:25:36 time: 0.2371 data_time: 0.0281 memory: 6108 grad_norm: 9.6242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/07/23 15:27:27 - mmengine - INFO - Epoch(train) [95][1040/3757] lr: 1.0000e-04 eta: 1:25:31 time: 0.2340 data_time: 0.0274 memory: 6108 grad_norm: 9.4434 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/07/23 15:27:31 - mmengine - INFO - Epoch(train) [95][1060/3757] lr: 1.0000e-04 eta: 1:25:26 time: 0.2325 data_time: 0.0248 memory: 6108 grad_norm: 9.1975 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3298 loss: 1.3298 2022/07/23 15:27:36 - mmengine - INFO - Epoch(train) [95][1080/3757] lr: 1.0000e-04 eta: 1:25:21 time: 0.2464 data_time: 0.0228 memory: 6108 grad_norm: 9.2913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/07/23 15:27:41 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 1.0000e-04 eta: 1:25:17 time: 0.2298 data_time: 0.0182 memory: 6108 grad_norm: 9.4532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9322 loss: 0.9322 2022/07/23 15:27:45 - mmengine - INFO - Epoch(train) [95][1120/3757] lr: 1.0000e-04 eta: 1:25:12 time: 0.2311 data_time: 0.0284 memory: 6108 grad_norm: 9.6767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/07/23 15:27:50 - mmengine - INFO - Epoch(train) [95][1140/3757] lr: 1.0000e-04 eta: 1:25:07 time: 0.2382 data_time: 0.0244 memory: 6108 grad_norm: 9.5011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3154 loss: 1.3154 2022/07/23 15:27:55 - mmengine - INFO - Epoch(train) [95][1160/3757] lr: 1.0000e-04 eta: 1:25:02 time: 0.2398 data_time: 0.0234 memory: 6108 grad_norm: 9.1174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/07/23 15:28:00 - mmengine - INFO - Epoch(train) [95][1180/3757] lr: 1.0000e-04 eta: 1:24:58 time: 0.2330 data_time: 0.0211 memory: 6108 grad_norm: 9.2095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2316 loss: 1.2316 2022/07/23 15:28:05 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 1.0000e-04 eta: 1:24:53 time: 0.2455 data_time: 0.0201 memory: 6108 grad_norm: 9.0139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1678 loss: 1.1678 2022/07/23 15:28:09 - mmengine - INFO - Epoch(train) [95][1220/3757] lr: 1.0000e-04 eta: 1:24:48 time: 0.2301 data_time: 0.0219 memory: 6108 grad_norm: 9.5488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/07/23 15:28:14 - mmengine - INFO - Epoch(train) [95][1240/3757] lr: 1.0000e-04 eta: 1:24:43 time: 0.2417 data_time: 0.0194 memory: 6108 grad_norm: 9.3450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1817 loss: 1.1817 2022/07/23 15:28:19 - mmengine - INFO - Epoch(train) [95][1260/3757] lr: 1.0000e-04 eta: 1:24:38 time: 0.2383 data_time: 0.0340 memory: 6108 grad_norm: 9.2422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/07/23 15:28:24 - mmengine - INFO - Epoch(train) [95][1280/3757] lr: 1.0000e-04 eta: 1:24:34 time: 0.2307 data_time: 0.0187 memory: 6108 grad_norm: 9.0641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/07/23 15:28:28 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 1.0000e-04 eta: 1:24:29 time: 0.2354 data_time: 0.0185 memory: 6108 grad_norm: 9.4894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2267 loss: 1.2267 2022/07/23 15:28:33 - mmengine - INFO - Epoch(train) [95][1320/3757] lr: 1.0000e-04 eta: 1:24:24 time: 0.2321 data_time: 0.0250 memory: 6108 grad_norm: 9.2357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/07/23 15:28:38 - mmengine - INFO - Epoch(train) [95][1340/3757] lr: 1.0000e-04 eta: 1:24:19 time: 0.2377 data_time: 0.0215 memory: 6108 grad_norm: 9.2317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2753 loss: 1.2753 2022/07/23 15:28:43 - mmengine - INFO - Epoch(train) [95][1360/3757] lr: 1.0000e-04 eta: 1:24:15 time: 0.2505 data_time: 0.0200 memory: 6108 grad_norm: 9.7608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/07/23 15:28:48 - mmengine - INFO - Epoch(train) [95][1380/3757] lr: 1.0000e-04 eta: 1:24:10 time: 0.2333 data_time: 0.0202 memory: 6108 grad_norm: 9.1779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/07/23 15:28:52 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 1.0000e-04 eta: 1:24:05 time: 0.2314 data_time: 0.0264 memory: 6108 grad_norm: 9.1405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0581 loss: 1.0581 2022/07/23 15:28:57 - mmengine - INFO - Epoch(train) [95][1420/3757] lr: 1.0000e-04 eta: 1:24:00 time: 0.2326 data_time: 0.0166 memory: 6108 grad_norm: 9.1764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1945 loss: 1.1945 2022/07/23 15:29:02 - mmengine - INFO - Epoch(train) [95][1440/3757] lr: 1.0000e-04 eta: 1:23:55 time: 0.2613 data_time: 0.0247 memory: 6108 grad_norm: 9.4415 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1517 loss: 1.1517 2022/07/23 15:29:07 - mmengine - INFO - Epoch(train) [95][1460/3757] lr: 1.0000e-04 eta: 1:23:51 time: 0.2280 data_time: 0.0206 memory: 6108 grad_norm: 8.9674 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1405 loss: 1.1405 2022/07/23 15:29:12 - mmengine - INFO - Epoch(train) [95][1480/3757] lr: 1.0000e-04 eta: 1:23:46 time: 0.2387 data_time: 0.0210 memory: 6108 grad_norm: 9.2249 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/07/23 15:29:16 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 1.0000e-04 eta: 1:23:41 time: 0.2416 data_time: 0.0205 memory: 6108 grad_norm: 9.1733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1233 loss: 1.1233 2022/07/23 15:29:21 - mmengine - INFO - Epoch(train) [95][1520/3757] lr: 1.0000e-04 eta: 1:23:36 time: 0.2293 data_time: 0.0208 memory: 6108 grad_norm: 9.2472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2908 loss: 1.2908 2022/07/23 15:29:26 - mmengine - INFO - Epoch(train) [95][1540/3757] lr: 1.0000e-04 eta: 1:23:32 time: 0.2289 data_time: 0.0219 memory: 6108 grad_norm: 9.5362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/07/23 15:29:30 - mmengine - INFO - Epoch(train) [95][1560/3757] lr: 1.0000e-04 eta: 1:23:27 time: 0.2308 data_time: 0.0234 memory: 6108 grad_norm: 9.4209 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/07/23 15:29:35 - mmengine - INFO - Epoch(train) [95][1580/3757] lr: 1.0000e-04 eta: 1:23:22 time: 0.2505 data_time: 0.0202 memory: 6108 grad_norm: 9.4507 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1834 loss: 1.1834 2022/07/23 15:29:40 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 1.0000e-04 eta: 1:23:17 time: 0.2262 data_time: 0.0251 memory: 6108 grad_norm: 9.0225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9737 loss: 0.9737 2022/07/23 15:29:45 - mmengine - INFO - Epoch(train) [95][1620/3757] lr: 1.0000e-04 eta: 1:23:12 time: 0.2352 data_time: 0.0269 memory: 6108 grad_norm: 9.0632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0738 loss: 1.0738 2022/07/23 15:29:49 - mmengine - INFO - Epoch(train) [95][1640/3757] lr: 1.0000e-04 eta: 1:23:08 time: 0.2334 data_time: 0.0220 memory: 6108 grad_norm: 9.4856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1468 loss: 1.1468 2022/07/23 15:29:54 - mmengine - INFO - Epoch(train) [95][1660/3757] lr: 1.0000e-04 eta: 1:23:03 time: 0.2275 data_time: 0.0185 memory: 6108 grad_norm: 9.3270 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2637 loss: 1.2637 2022/07/23 15:29:59 - mmengine - INFO - Epoch(train) [95][1680/3757] lr: 1.0000e-04 eta: 1:22:58 time: 0.2417 data_time: 0.0231 memory: 6108 grad_norm: 8.9524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1462 loss: 1.1462 2022/07/23 15:30:04 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 1.0000e-04 eta: 1:22:53 time: 0.2328 data_time: 0.0255 memory: 6108 grad_norm: 9.2014 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0864 loss: 1.0864 2022/07/23 15:30:08 - mmengine - INFO - Epoch(train) [95][1720/3757] lr: 1.0000e-04 eta: 1:22:49 time: 0.2374 data_time: 0.0335 memory: 6108 grad_norm: 9.3717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/07/23 15:30:13 - mmengine - INFO - Epoch(train) [95][1740/3757] lr: 1.0000e-04 eta: 1:22:44 time: 0.2312 data_time: 0.0269 memory: 6108 grad_norm: 9.3335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/07/23 15:30:18 - mmengine - INFO - Epoch(train) [95][1760/3757] lr: 1.0000e-04 eta: 1:22:39 time: 0.2403 data_time: 0.0274 memory: 6108 grad_norm: 9.2376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/07/23 15:30:22 - mmengine - INFO - Epoch(train) [95][1780/3757] lr: 1.0000e-04 eta: 1:22:34 time: 0.2332 data_time: 0.0275 memory: 6108 grad_norm: 9.2009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/07/23 15:30:27 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 1.0000e-04 eta: 1:22:29 time: 0.2351 data_time: 0.0334 memory: 6108 grad_norm: 9.3378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/07/23 15:30:32 - mmengine - INFO - Epoch(train) [95][1820/3757] lr: 1.0000e-04 eta: 1:22:25 time: 0.2313 data_time: 0.0201 memory: 6108 grad_norm: 9.6101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/07/23 15:30:37 - mmengine - INFO - Epoch(train) [95][1840/3757] lr: 1.0000e-04 eta: 1:22:20 time: 0.2296 data_time: 0.0327 memory: 6108 grad_norm: 9.4588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0174 loss: 1.0174 2022/07/23 15:30:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:30:41 - mmengine - INFO - Epoch(train) [95][1860/3757] lr: 1.0000e-04 eta: 1:22:15 time: 0.2335 data_time: 0.0274 memory: 6108 grad_norm: 8.9677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3240 loss: 1.3240 2022/07/23 15:30:46 - mmengine - INFO - Epoch(train) [95][1880/3757] lr: 1.0000e-04 eta: 1:22:10 time: 0.2358 data_time: 0.0230 memory: 6108 grad_norm: 9.3935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2679 loss: 1.2679 2022/07/23 15:30:51 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 1.0000e-04 eta: 1:22:06 time: 0.2313 data_time: 0.0197 memory: 6108 grad_norm: 9.5273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0506 loss: 1.0506 2022/07/23 15:30:55 - mmengine - INFO - Epoch(train) [95][1920/3757] lr: 1.0000e-04 eta: 1:22:01 time: 0.2360 data_time: 0.0299 memory: 6108 grad_norm: 9.4105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9527 loss: 0.9527 2022/07/23 15:31:00 - mmengine - INFO - Epoch(train) [95][1940/3757] lr: 1.0000e-04 eta: 1:21:56 time: 0.2342 data_time: 0.0279 memory: 6108 grad_norm: 9.2826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3835 loss: 1.3835 2022/07/23 15:31:05 - mmengine - INFO - Epoch(train) [95][1960/3757] lr: 1.0000e-04 eta: 1:21:51 time: 0.2378 data_time: 0.0209 memory: 6108 grad_norm: 9.0757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/07/23 15:31:10 - mmengine - INFO - Epoch(train) [95][1980/3757] lr: 1.0000e-04 eta: 1:21:46 time: 0.2311 data_time: 0.0224 memory: 6108 grad_norm: 9.2263 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2852 loss: 1.2852 2022/07/23 15:31:14 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 1.0000e-04 eta: 1:21:42 time: 0.2281 data_time: 0.0214 memory: 6108 grad_norm: 9.4830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/07/23 15:31:19 - mmengine - INFO - Epoch(train) [95][2020/3757] lr: 1.0000e-04 eta: 1:21:37 time: 0.2466 data_time: 0.0217 memory: 6108 grad_norm: 9.2092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/07/23 15:31:24 - mmengine - INFO - Epoch(train) [95][2040/3757] lr: 1.0000e-04 eta: 1:21:32 time: 0.2335 data_time: 0.0262 memory: 6108 grad_norm: 8.9638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/07/23 15:31:28 - mmengine - INFO - Epoch(train) [95][2060/3757] lr: 1.0000e-04 eta: 1:21:27 time: 0.2291 data_time: 0.0224 memory: 6108 grad_norm: 9.3272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1276 loss: 1.1276 2022/07/23 15:31:33 - mmengine - INFO - Epoch(train) [95][2080/3757] lr: 1.0000e-04 eta: 1:21:23 time: 0.2326 data_time: 0.0246 memory: 6108 grad_norm: 9.2240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/07/23 15:31:38 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 1.0000e-04 eta: 1:21:18 time: 0.2422 data_time: 0.0294 memory: 6108 grad_norm: 9.3336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/07/23 15:31:43 - mmengine - INFO - Epoch(train) [95][2120/3757] lr: 1.0000e-04 eta: 1:21:13 time: 0.2329 data_time: 0.0272 memory: 6108 grad_norm: 8.9603 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0779 loss: 1.0779 2022/07/23 15:31:47 - mmengine - INFO - Epoch(train) [95][2140/3757] lr: 1.0000e-04 eta: 1:21:08 time: 0.2350 data_time: 0.0210 memory: 6108 grad_norm: 9.3281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/07/23 15:31:52 - mmengine - INFO - Epoch(train) [95][2160/3757] lr: 1.0000e-04 eta: 1:21:03 time: 0.2316 data_time: 0.0221 memory: 6108 grad_norm: 9.3500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4123 loss: 1.4123 2022/07/23 15:31:57 - mmengine - INFO - Epoch(train) [95][2180/3757] lr: 1.0000e-04 eta: 1:20:59 time: 0.2572 data_time: 0.0238 memory: 6108 grad_norm: 9.3192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/07/23 15:32:02 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 1.0000e-04 eta: 1:20:54 time: 0.2320 data_time: 0.0321 memory: 6108 grad_norm: 9.4900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/07/23 15:32:07 - mmengine - INFO - Epoch(train) [95][2220/3757] lr: 1.0000e-04 eta: 1:20:49 time: 0.2333 data_time: 0.0242 memory: 6108 grad_norm: 9.2220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/07/23 15:32:11 - mmengine - INFO - Epoch(train) [95][2240/3757] lr: 1.0000e-04 eta: 1:20:44 time: 0.2326 data_time: 0.0272 memory: 6108 grad_norm: 9.4787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0825 loss: 1.0825 2022/07/23 15:32:16 - mmengine - INFO - Epoch(train) [95][2260/3757] lr: 1.0000e-04 eta: 1:20:40 time: 0.2391 data_time: 0.0243 memory: 6108 grad_norm: 9.3552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/07/23 15:32:21 - mmengine - INFO - Epoch(train) [95][2280/3757] lr: 1.0000e-04 eta: 1:20:35 time: 0.2295 data_time: 0.0261 memory: 6108 grad_norm: 9.2111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1977 loss: 1.1977 2022/07/23 15:32:25 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 1.0000e-04 eta: 1:20:30 time: 0.2359 data_time: 0.0318 memory: 6108 grad_norm: 9.6925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3307 loss: 1.3307 2022/07/23 15:32:30 - mmengine - INFO - Epoch(train) [95][2320/3757] lr: 1.0000e-04 eta: 1:20:25 time: 0.2301 data_time: 0.0231 memory: 6108 grad_norm: 9.4346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/07/23 15:32:35 - mmengine - INFO - Epoch(train) [95][2340/3757] lr: 1.0000e-04 eta: 1:20:21 time: 0.2399 data_time: 0.0239 memory: 6108 grad_norm: 9.3688 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4019 loss: 1.4019 2022/07/23 15:32:40 - mmengine - INFO - Epoch(train) [95][2360/3757] lr: 1.0000e-04 eta: 1:20:16 time: 0.2331 data_time: 0.0197 memory: 6108 grad_norm: 9.3463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9497 loss: 0.9497 2022/07/23 15:32:44 - mmengine - INFO - Epoch(train) [95][2380/3757] lr: 1.0000e-04 eta: 1:20:11 time: 0.2352 data_time: 0.0288 memory: 6108 grad_norm: 9.2448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9498 loss: 0.9498 2022/07/23 15:32:49 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 1.0000e-04 eta: 1:20:06 time: 0.2319 data_time: 0.0228 memory: 6108 grad_norm: 9.0874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1975 loss: 1.1975 2022/07/23 15:32:54 - mmengine - INFO - Epoch(train) [95][2420/3757] lr: 1.0000e-04 eta: 1:20:01 time: 0.2316 data_time: 0.0235 memory: 6108 grad_norm: 9.1755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2727 loss: 1.2727 2022/07/23 15:32:59 - mmengine - INFO - Epoch(train) [95][2440/3757] lr: 1.0000e-04 eta: 1:19:57 time: 0.2481 data_time: 0.0255 memory: 6108 grad_norm: 9.3937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1870 loss: 1.1870 2022/07/23 15:33:03 - mmengine - INFO - Epoch(train) [95][2460/3757] lr: 1.0000e-04 eta: 1:19:52 time: 0.2344 data_time: 0.0239 memory: 6108 grad_norm: 9.4540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/23 15:33:08 - mmengine - INFO - Epoch(train) [95][2480/3757] lr: 1.0000e-04 eta: 1:19:47 time: 0.2300 data_time: 0.0170 memory: 6108 grad_norm: 9.1492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0918 loss: 1.0918 2022/07/23 15:33:13 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 1.0000e-04 eta: 1:19:42 time: 0.2348 data_time: 0.0284 memory: 6108 grad_norm: 9.1850 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1329 loss: 1.1329 2022/07/23 15:33:18 - mmengine - INFO - Epoch(train) [95][2520/3757] lr: 1.0000e-04 eta: 1:19:38 time: 0.2414 data_time: 0.0290 memory: 6108 grad_norm: 9.1274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/07/23 15:33:22 - mmengine - INFO - Epoch(train) [95][2540/3757] lr: 1.0000e-04 eta: 1:19:33 time: 0.2355 data_time: 0.0178 memory: 6108 grad_norm: 8.9803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/07/23 15:33:27 - mmengine - INFO - Epoch(train) [95][2560/3757] lr: 1.0000e-04 eta: 1:19:28 time: 0.2296 data_time: 0.0233 memory: 6108 grad_norm: 9.3328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/07/23 15:33:32 - mmengine - INFO - Epoch(train) [95][2580/3757] lr: 1.0000e-04 eta: 1:19:23 time: 0.2343 data_time: 0.0245 memory: 6108 grad_norm: 9.2008 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1218 loss: 1.1218 2022/07/23 15:33:37 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 1.0000e-04 eta: 1:19:18 time: 0.2441 data_time: 0.0183 memory: 6108 grad_norm: 9.5281 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2021 loss: 1.2021 2022/07/23 15:33:41 - mmengine - INFO - Epoch(train) [95][2620/3757] lr: 1.0000e-04 eta: 1:19:14 time: 0.2303 data_time: 0.0236 memory: 6108 grad_norm: 9.5183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0334 loss: 1.0334 2022/07/23 15:33:46 - mmengine - INFO - Epoch(train) [95][2640/3757] lr: 1.0000e-04 eta: 1:19:09 time: 0.2272 data_time: 0.0206 memory: 6108 grad_norm: 9.1217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/07/23 15:33:51 - mmengine - INFO - Epoch(train) [95][2660/3757] lr: 1.0000e-04 eta: 1:19:04 time: 0.2363 data_time: 0.0272 memory: 6108 grad_norm: 9.0427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2783 loss: 1.2783 2022/07/23 15:33:56 - mmengine - INFO - Epoch(train) [95][2680/3757] lr: 1.0000e-04 eta: 1:18:59 time: 0.2452 data_time: 0.0227 memory: 6108 grad_norm: 8.8280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/07/23 15:34:00 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 1.0000e-04 eta: 1:18:55 time: 0.2322 data_time: 0.0207 memory: 6108 grad_norm: 9.3648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1357 loss: 1.1357 2022/07/23 15:34:05 - mmengine - INFO - Epoch(train) [95][2720/3757] lr: 1.0000e-04 eta: 1:18:50 time: 0.2340 data_time: 0.0284 memory: 6108 grad_norm: 9.5693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/07/23 15:34:10 - mmengine - INFO - Epoch(train) [95][2740/3757] lr: 1.0000e-04 eta: 1:18:45 time: 0.2407 data_time: 0.0245 memory: 6108 grad_norm: 9.3319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9103 loss: 0.9103 2022/07/23 15:34:14 - mmengine - INFO - Epoch(train) [95][2760/3757] lr: 1.0000e-04 eta: 1:18:40 time: 0.2302 data_time: 0.0288 memory: 6108 grad_norm: 9.2963 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8589 loss: 0.8589 2022/07/23 15:34:19 - mmengine - INFO - Epoch(train) [95][2780/3757] lr: 1.0000e-04 eta: 1:18:35 time: 0.2396 data_time: 0.0263 memory: 6108 grad_norm: 9.2683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/07/23 15:34:24 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 1.0000e-04 eta: 1:18:31 time: 0.2328 data_time: 0.0223 memory: 6108 grad_norm: 9.2823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0829 loss: 1.0829 2022/07/23 15:34:29 - mmengine - INFO - Epoch(train) [95][2820/3757] lr: 1.0000e-04 eta: 1:18:26 time: 0.2396 data_time: 0.0254 memory: 6108 grad_norm: 9.3389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9382 loss: 0.9382 2022/07/23 15:34:34 - mmengine - INFO - Epoch(train) [95][2840/3757] lr: 1.0000e-04 eta: 1:18:21 time: 0.2399 data_time: 0.0220 memory: 6108 grad_norm: 9.4615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9943 loss: 0.9943 2022/07/23 15:34:34 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:34:38 - mmengine - INFO - Epoch(train) [95][2860/3757] lr: 1.0000e-04 eta: 1:18:16 time: 0.2350 data_time: 0.0179 memory: 6108 grad_norm: 9.5942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/07/23 15:34:43 - mmengine - INFO - Epoch(train) [95][2880/3757] lr: 1.0000e-04 eta: 1:18:12 time: 0.2297 data_time: 0.0222 memory: 6108 grad_norm: 9.6468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3039 loss: 1.3039 2022/07/23 15:34:48 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 1.0000e-04 eta: 1:18:07 time: 0.2374 data_time: 0.0214 memory: 6108 grad_norm: 9.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2564 loss: 1.2564 2022/07/23 15:34:52 - mmengine - INFO - Epoch(train) [95][2920/3757] lr: 1.0000e-04 eta: 1:18:02 time: 0.2289 data_time: 0.0177 memory: 6108 grad_norm: 9.3828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/07/23 15:34:57 - mmengine - INFO - Epoch(train) [95][2940/3757] lr: 1.0000e-04 eta: 1:17:57 time: 0.2319 data_time: 0.0257 memory: 6108 grad_norm: 9.6991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/07/23 15:35:02 - mmengine - INFO - Epoch(train) [95][2960/3757] lr: 1.0000e-04 eta: 1:17:52 time: 0.2326 data_time: 0.0244 memory: 6108 grad_norm: 9.5510 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1317 loss: 1.1317 2022/07/23 15:35:06 - mmengine - INFO - Epoch(train) [95][2980/3757] lr: 1.0000e-04 eta: 1:17:48 time: 0.2345 data_time: 0.0209 memory: 6108 grad_norm: 9.1533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/07/23 15:35:11 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 1.0000e-04 eta: 1:17:43 time: 0.2292 data_time: 0.0243 memory: 6108 grad_norm: 9.2698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/07/23 15:35:16 - mmengine - INFO - Epoch(train) [95][3020/3757] lr: 1.0000e-04 eta: 1:17:38 time: 0.2454 data_time: 0.0244 memory: 6108 grad_norm: 9.4048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/07/23 15:35:21 - mmengine - INFO - Epoch(train) [95][3040/3757] lr: 1.0000e-04 eta: 1:17:33 time: 0.2413 data_time: 0.0194 memory: 6108 grad_norm: 9.3003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3115 loss: 1.3115 2022/07/23 15:35:26 - mmengine - INFO - Epoch(train) [95][3060/3757] lr: 1.0000e-04 eta: 1:17:29 time: 0.2395 data_time: 0.0253 memory: 6108 grad_norm: 9.5584 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/07/23 15:35:31 - mmengine - INFO - Epoch(train) [95][3080/3757] lr: 1.0000e-04 eta: 1:17:24 time: 0.2423 data_time: 0.0275 memory: 6108 grad_norm: 9.7133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/07/23 15:35:35 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 1.0000e-04 eta: 1:17:19 time: 0.2289 data_time: 0.0206 memory: 6108 grad_norm: 9.5250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0359 loss: 1.0359 2022/07/23 15:35:44 - mmengine - INFO - Epoch(train) [95][3120/3757] lr: 1.0000e-04 eta: 1:17:14 time: 0.4430 data_time: 0.0226 memory: 6108 grad_norm: 9.4605 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2335 loss: 1.2335 2022/07/23 15:35:48 - mmengine - INFO - Epoch(train) [95][3140/3757] lr: 1.0000e-04 eta: 1:17:10 time: 0.2205 data_time: 0.0180 memory: 6108 grad_norm: 9.1681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0496 loss: 1.0496 2022/07/23 15:35:53 - mmengine - INFO - Epoch(train) [95][3160/3757] lr: 1.0000e-04 eta: 1:17:05 time: 0.2346 data_time: 0.0232 memory: 6108 grad_norm: 9.2124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/07/23 15:35:59 - mmengine - INFO - Epoch(train) [95][3180/3757] lr: 1.0000e-04 eta: 1:17:00 time: 0.2674 data_time: 0.0231 memory: 6108 grad_norm: 9.3226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1000 loss: 1.1000 2022/07/23 15:36:03 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 1.0000e-04 eta: 1:16:55 time: 0.2275 data_time: 0.0224 memory: 6108 grad_norm: 9.3413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2436 loss: 1.2436 2022/07/23 15:36:08 - mmengine - INFO - Epoch(train) [95][3220/3757] lr: 1.0000e-04 eta: 1:16:51 time: 0.2362 data_time: 0.0200 memory: 6108 grad_norm: 9.2300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/07/23 15:36:13 - mmengine - INFO - Epoch(train) [95][3240/3757] lr: 1.0000e-04 eta: 1:16:46 time: 0.2331 data_time: 0.0273 memory: 6108 grad_norm: 9.4306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/07/23 15:36:17 - mmengine - INFO - Epoch(train) [95][3260/3757] lr: 1.0000e-04 eta: 1:16:41 time: 0.2309 data_time: 0.0210 memory: 6108 grad_norm: 9.5077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4550 loss: 1.4550 2022/07/23 15:36:22 - mmengine - INFO - Epoch(train) [95][3280/3757] lr: 1.0000e-04 eta: 1:16:36 time: 0.2320 data_time: 0.0237 memory: 6108 grad_norm: 9.7785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3184 loss: 1.3184 2022/07/23 15:36:27 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 1.0000e-04 eta: 1:16:31 time: 0.2355 data_time: 0.0251 memory: 6108 grad_norm: 9.2604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9320 loss: 0.9320 2022/07/23 15:36:31 - mmengine - INFO - Epoch(train) [95][3320/3757] lr: 1.0000e-04 eta: 1:16:27 time: 0.2301 data_time: 0.0224 memory: 6108 grad_norm: 9.4051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3044 loss: 1.3044 2022/07/23 15:36:37 - mmengine - INFO - Epoch(train) [95][3340/3757] lr: 1.0000e-04 eta: 1:16:22 time: 0.2626 data_time: 0.0239 memory: 6108 grad_norm: 9.4350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/07/23 15:36:41 - mmengine - INFO - Epoch(train) [95][3360/3757] lr: 1.0000e-04 eta: 1:16:17 time: 0.2241 data_time: 0.0181 memory: 6108 grad_norm: 9.4947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/07/23 15:36:46 - mmengine - INFO - Epoch(train) [95][3380/3757] lr: 1.0000e-04 eta: 1:16:12 time: 0.2407 data_time: 0.0298 memory: 6108 grad_norm: 9.3180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0579 loss: 1.0579 2022/07/23 15:36:51 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 1.0000e-04 eta: 1:16:08 time: 0.2274 data_time: 0.0232 memory: 6108 grad_norm: 9.4684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/07/23 15:36:55 - mmengine - INFO - Epoch(train) [95][3420/3757] lr: 1.0000e-04 eta: 1:16:03 time: 0.2365 data_time: 0.0205 memory: 6108 grad_norm: 9.6146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0777 loss: 1.0777 2022/07/23 15:37:00 - mmengine - INFO - Epoch(train) [95][3440/3757] lr: 1.0000e-04 eta: 1:15:58 time: 0.2451 data_time: 0.0223 memory: 6108 grad_norm: 9.5653 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1433 loss: 1.1433 2022/07/23 15:37:05 - mmengine - INFO - Epoch(train) [95][3460/3757] lr: 1.0000e-04 eta: 1:15:53 time: 0.2293 data_time: 0.0240 memory: 6108 grad_norm: 9.4796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/07/23 15:37:10 - mmengine - INFO - Epoch(train) [95][3480/3757] lr: 1.0000e-04 eta: 1:15:48 time: 0.2322 data_time: 0.0208 memory: 6108 grad_norm: 9.1524 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9802 loss: 0.9802 2022/07/23 15:37:14 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 1.0000e-04 eta: 1:15:44 time: 0.2286 data_time: 0.0241 memory: 6108 grad_norm: 9.2939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0674 loss: 1.0674 2022/07/23 15:37:19 - mmengine - INFO - Epoch(train) [95][3520/3757] lr: 1.0000e-04 eta: 1:15:39 time: 0.2545 data_time: 0.0187 memory: 6108 grad_norm: 9.3537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9337 loss: 0.9337 2022/07/23 15:37:24 - mmengine - INFO - Epoch(train) [95][3540/3757] lr: 1.0000e-04 eta: 1:15:34 time: 0.2304 data_time: 0.0191 memory: 6108 grad_norm: 9.1324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1879 loss: 1.1879 2022/07/23 15:37:29 - mmengine - INFO - Epoch(train) [95][3560/3757] lr: 1.0000e-04 eta: 1:15:29 time: 0.2366 data_time: 0.0287 memory: 6108 grad_norm: 9.9640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/07/23 15:37:33 - mmengine - INFO - Epoch(train) [95][3580/3757] lr: 1.0000e-04 eta: 1:15:25 time: 0.2334 data_time: 0.0199 memory: 6108 grad_norm: 9.3597 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0711 loss: 1.0711 2022/07/23 15:37:38 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 1.0000e-04 eta: 1:15:20 time: 0.2465 data_time: 0.0203 memory: 6108 grad_norm: 9.5088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2573 loss: 1.2573 2022/07/23 15:37:43 - mmengine - INFO - Epoch(train) [95][3620/3757] lr: 1.0000e-04 eta: 1:15:15 time: 0.2318 data_time: 0.0230 memory: 6108 grad_norm: 9.4136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/07/23 15:37:48 - mmengine - INFO - Epoch(train) [95][3640/3757] lr: 1.0000e-04 eta: 1:15:10 time: 0.2321 data_time: 0.0257 memory: 6108 grad_norm: 9.3498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9857 loss: 0.9857 2022/07/23 15:37:52 - mmengine - INFO - Epoch(train) [95][3660/3757] lr: 1.0000e-04 eta: 1:15:06 time: 0.2341 data_time: 0.0257 memory: 6108 grad_norm: 9.3848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0061 loss: 1.0061 2022/07/23 15:37:57 - mmengine - INFO - Epoch(train) [95][3680/3757] lr: 1.0000e-04 eta: 1:15:01 time: 0.2393 data_time: 0.0286 memory: 6108 grad_norm: 9.2253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/07/23 15:38:02 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 1.0000e-04 eta: 1:14:56 time: 0.2372 data_time: 0.0203 memory: 6108 grad_norm: 9.3536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0599 loss: 1.0599 2022/07/23 15:38:07 - mmengine - INFO - Epoch(train) [95][3720/3757] lr: 1.0000e-04 eta: 1:14:51 time: 0.2350 data_time: 0.0220 memory: 6108 grad_norm: 9.5640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3210 loss: 1.3210 2022/07/23 15:38:11 - mmengine - INFO - Epoch(train) [95][3740/3757] lr: 1.0000e-04 eta: 1:14:46 time: 0.2294 data_time: 0.0224 memory: 6108 grad_norm: 9.3618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/07/23 15:38:15 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:38:15 - mmengine - INFO - Epoch(train) [95][3757/3757] lr: 1.0000e-04 eta: 1:14:46 time: 0.1989 data_time: 0.0138 memory: 6108 grad_norm: 9.2485 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9412 loss: 0.9412 2022/07/23 15:38:15 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/07/23 15:38:23 - mmengine - INFO - Epoch(val) [95][20/310] eta: 0:01:24 time: 0.2922 data_time: 0.2138 memory: 1428 2022/07/23 15:38:27 - mmengine - INFO - Epoch(val) [95][40/310] eta: 0:00:48 time: 0.1797 data_time: 0.0978 memory: 1428 2022/07/23 15:38:32 - mmengine - INFO - Epoch(val) [95][60/310] eta: 0:00:57 time: 0.2286 data_time: 0.1522 memory: 1428 2022/07/23 15:38:36 - mmengine - INFO - Epoch(val) [95][80/310] eta: 0:00:51 time: 0.2223 data_time: 0.1285 memory: 1428 2022/07/23 15:38:40 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:00:43 time: 0.2058 data_time: 0.1323 memory: 1428 2022/07/23 15:38:44 - mmengine - INFO - Epoch(val) [95][120/310] eta: 0:00:34 time: 0.1838 data_time: 0.1082 memory: 1428 2022/07/23 15:38:49 - mmengine - INFO - Epoch(val) [95][140/310] eta: 0:00:43 time: 0.2579 data_time: 0.1769 memory: 1428 2022/07/23 15:38:53 - mmengine - INFO - Epoch(val) [95][160/310] eta: 0:00:27 time: 0.1836 data_time: 0.1077 memory: 1428 2022/07/23 15:38:58 - mmengine - INFO - Epoch(val) [95][180/310] eta: 0:00:32 time: 0.2509 data_time: 0.1750 memory: 1428 2022/07/23 15:39:01 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:00:20 time: 0.1836 data_time: 0.1112 memory: 1428 2022/07/23 15:39:07 - mmengine - INFO - Epoch(val) [95][220/310] eta: 0:00:23 time: 0.2606 data_time: 0.1832 memory: 1428 2022/07/23 15:39:10 - mmengine - INFO - Epoch(val) [95][240/310] eta: 0:00:13 time: 0.1930 data_time: 0.1189 memory: 1428 2022/07/23 15:39:16 - mmengine - INFO - Epoch(val) [95][260/310] eta: 0:00:13 time: 0.2619 data_time: 0.1715 memory: 1428 2022/07/23 15:39:19 - mmengine - INFO - Epoch(val) [95][280/310] eta: 0:00:05 time: 0.1764 data_time: 0.0994 memory: 1428 2022/07/23 15:39:22 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:01 time: 0.1531 data_time: 0.0961 memory: 1428 2022/07/23 15:39:25 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.6674 acc/top5: 0.8660 acc/mean1: 0.6673 2022/07/23 15:39:32 - mmengine - INFO - Epoch(train) [96][20/3757] lr: 1.0000e-04 eta: 1:14:37 time: 0.3351 data_time: 0.0845 memory: 6108 grad_norm: 9.3863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1071 loss: 1.1071 2022/07/23 15:39:36 - mmengine - INFO - Epoch(train) [96][40/3757] lr: 1.0000e-04 eta: 1:14:33 time: 0.2312 data_time: 0.0269 memory: 6108 grad_norm: 8.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2203 loss: 1.2203 2022/07/23 15:39:41 - mmengine - INFO - Epoch(train) [96][60/3757] lr: 1.0000e-04 eta: 1:14:28 time: 0.2307 data_time: 0.0287 memory: 6108 grad_norm: 9.2098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/07/23 15:39:46 - mmengine - INFO - Epoch(train) [96][80/3757] lr: 1.0000e-04 eta: 1:14:23 time: 0.2404 data_time: 0.0188 memory: 6108 grad_norm: 9.6008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0241 loss: 1.0241 2022/07/23 15:39:47 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:39:50 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 1.0000e-04 eta: 1:14:18 time: 0.2296 data_time: 0.0246 memory: 6108 grad_norm: 9.4914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3475 loss: 1.3475 2022/07/23 15:39:55 - mmengine - INFO - Epoch(train) [96][120/3757] lr: 1.0000e-04 eta: 1:14:14 time: 0.2315 data_time: 0.0259 memory: 6108 grad_norm: 8.9827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1969 loss: 1.1969 2022/07/23 15:40:00 - mmengine - INFO - Epoch(train) [96][140/3757] lr: 1.0000e-04 eta: 1:14:09 time: 0.2438 data_time: 0.0269 memory: 6108 grad_norm: 9.2931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/07/23 15:40:05 - mmengine - INFO - Epoch(train) [96][160/3757] lr: 1.0000e-04 eta: 1:14:04 time: 0.2297 data_time: 0.0194 memory: 6108 grad_norm: 9.2886 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1609 loss: 1.1609 2022/07/23 15:40:10 - mmengine - INFO - Epoch(train) [96][180/3757] lr: 1.0000e-04 eta: 1:13:59 time: 0.2430 data_time: 0.0249 memory: 6108 grad_norm: 9.5309 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/07/23 15:40:14 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 1.0000e-04 eta: 1:13:54 time: 0.2345 data_time: 0.0222 memory: 6108 grad_norm: 9.3375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0312 loss: 1.0312 2022/07/23 15:40:19 - mmengine - INFO - Epoch(train) [96][220/3757] lr: 1.0000e-04 eta: 1:13:50 time: 0.2341 data_time: 0.0257 memory: 6108 grad_norm: 9.3034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/07/23 15:40:24 - mmengine - INFO - Epoch(train) [96][240/3757] lr: 1.0000e-04 eta: 1:13:45 time: 0.2322 data_time: 0.0236 memory: 6108 grad_norm: 9.5482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/07/23 15:40:29 - mmengine - INFO - Epoch(train) [96][260/3757] lr: 1.0000e-04 eta: 1:13:40 time: 0.2410 data_time: 0.0333 memory: 6108 grad_norm: 10.1261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4157 loss: 1.4157 2022/07/23 15:40:33 - mmengine - INFO - Epoch(train) [96][280/3757] lr: 1.0000e-04 eta: 1:13:35 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 9.4374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9193 loss: 0.9193 2022/07/23 15:40:38 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 1.0000e-04 eta: 1:13:31 time: 0.2379 data_time: 0.0284 memory: 6108 grad_norm: 9.0185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9456 loss: 0.9456 2022/07/23 15:40:43 - mmengine - INFO - Epoch(train) [96][320/3757] lr: 1.0000e-04 eta: 1:13:26 time: 0.2329 data_time: 0.0223 memory: 6108 grad_norm: 9.2384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2772 loss: 1.2772 2022/07/23 15:40:47 - mmengine - INFO - Epoch(train) [96][340/3757] lr: 1.0000e-04 eta: 1:13:21 time: 0.2400 data_time: 0.0268 memory: 6108 grad_norm: 9.0345 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/07/23 15:40:52 - mmengine - INFO - Epoch(train) [96][360/3757] lr: 1.0000e-04 eta: 1:13:16 time: 0.2359 data_time: 0.0308 memory: 6108 grad_norm: 9.0412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8930 loss: 0.8930 2022/07/23 15:40:57 - mmengine - INFO - Epoch(train) [96][380/3757] lr: 1.0000e-04 eta: 1:13:11 time: 0.2301 data_time: 0.0246 memory: 6108 grad_norm: 9.1418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0941 loss: 1.0941 2022/07/23 15:41:01 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 1.0000e-04 eta: 1:13:07 time: 0.2336 data_time: 0.0196 memory: 6108 grad_norm: 9.3534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/23 15:41:06 - mmengine - INFO - Epoch(train) [96][420/3757] lr: 1.0000e-04 eta: 1:13:02 time: 0.2369 data_time: 0.0257 memory: 6108 grad_norm: 9.2179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0352 loss: 1.0352 2022/07/23 15:41:11 - mmengine - INFO - Epoch(train) [96][440/3757] lr: 1.0000e-04 eta: 1:12:57 time: 0.2314 data_time: 0.0226 memory: 6108 grad_norm: 9.6573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/07/23 15:41:16 - mmengine - INFO - Epoch(train) [96][460/3757] lr: 1.0000e-04 eta: 1:12:52 time: 0.2370 data_time: 0.0210 memory: 6108 grad_norm: 9.4619 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3525 loss: 1.3525 2022/07/23 15:41:20 - mmengine - INFO - Epoch(train) [96][480/3757] lr: 1.0000e-04 eta: 1:12:48 time: 0.2331 data_time: 0.0217 memory: 6108 grad_norm: 9.1658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/07/23 15:41:25 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 1.0000e-04 eta: 1:12:43 time: 0.2398 data_time: 0.0280 memory: 6108 grad_norm: 9.6091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/07/23 15:41:30 - mmengine - INFO - Epoch(train) [96][520/3757] lr: 1.0000e-04 eta: 1:12:38 time: 0.2363 data_time: 0.0232 memory: 6108 grad_norm: 9.2871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/07/23 15:41:35 - mmengine - INFO - Epoch(train) [96][540/3757] lr: 1.0000e-04 eta: 1:12:33 time: 0.2322 data_time: 0.0202 memory: 6108 grad_norm: 9.3612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/07/23 15:41:39 - mmengine - INFO - Epoch(train) [96][560/3757] lr: 1.0000e-04 eta: 1:12:29 time: 0.2387 data_time: 0.0244 memory: 6108 grad_norm: 9.6729 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/07/23 15:41:44 - mmengine - INFO - Epoch(train) [96][580/3757] lr: 1.0000e-04 eta: 1:12:24 time: 0.2338 data_time: 0.0259 memory: 6108 grad_norm: 9.0613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2820 loss: 1.2820 2022/07/23 15:41:49 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 1.0000e-04 eta: 1:12:19 time: 0.2366 data_time: 0.0262 memory: 6108 grad_norm: 9.4622 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1747 loss: 1.1747 2022/07/23 15:41:54 - mmengine - INFO - Epoch(train) [96][620/3757] lr: 1.0000e-04 eta: 1:12:14 time: 0.2306 data_time: 0.0218 memory: 6108 grad_norm: 9.4078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/07/23 15:41:59 - mmengine - INFO - Epoch(train) [96][640/3757] lr: 1.0000e-04 eta: 1:12:09 time: 0.2454 data_time: 0.0211 memory: 6108 grad_norm: 9.1423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1744 loss: 1.1744 2022/07/23 15:42:03 - mmengine - INFO - Epoch(train) [96][660/3757] lr: 1.0000e-04 eta: 1:12:05 time: 0.2317 data_time: 0.0220 memory: 6108 grad_norm: 9.5256 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3504 loss: 1.3504 2022/07/23 15:42:08 - mmengine - INFO - Epoch(train) [96][680/3757] lr: 1.0000e-04 eta: 1:12:00 time: 0.2298 data_time: 0.0197 memory: 6108 grad_norm: 9.3744 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1009 loss: 1.1009 2022/07/23 15:42:13 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 1.0000e-04 eta: 1:11:55 time: 0.2344 data_time: 0.0226 memory: 6108 grad_norm: 9.0995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/07/23 15:42:17 - mmengine - INFO - Epoch(train) [96][720/3757] lr: 1.0000e-04 eta: 1:11:50 time: 0.2402 data_time: 0.0237 memory: 6108 grad_norm: 9.7197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0191 loss: 1.0191 2022/07/23 15:42:22 - mmengine - INFO - Epoch(train) [96][740/3757] lr: 1.0000e-04 eta: 1:11:46 time: 0.2303 data_time: 0.0187 memory: 6108 grad_norm: 9.5925 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3028 loss: 1.3028 2022/07/23 15:42:27 - mmengine - INFO - Epoch(train) [96][760/3757] lr: 1.0000e-04 eta: 1:11:41 time: 0.2320 data_time: 0.0235 memory: 6108 grad_norm: 9.3814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/07/23 15:42:31 - mmengine - INFO - Epoch(train) [96][780/3757] lr: 1.0000e-04 eta: 1:11:36 time: 0.2351 data_time: 0.0246 memory: 6108 grad_norm: 9.1855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/07/23 15:42:36 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 1.0000e-04 eta: 1:11:31 time: 0.2347 data_time: 0.0236 memory: 6108 grad_norm: 9.4381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/07/23 15:42:41 - mmengine - INFO - Epoch(train) [96][820/3757] lr: 1.0000e-04 eta: 1:11:26 time: 0.2300 data_time: 0.0215 memory: 6108 grad_norm: 10.2563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4354 loss: 1.4354 2022/07/23 15:42:46 - mmengine - INFO - Epoch(train) [96][840/3757] lr: 1.0000e-04 eta: 1:11:22 time: 0.2355 data_time: 0.0224 memory: 6108 grad_norm: 9.5427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/07/23 15:42:50 - mmengine - INFO - Epoch(train) [96][860/3757] lr: 1.0000e-04 eta: 1:11:17 time: 0.2257 data_time: 0.0178 memory: 6108 grad_norm: 9.0148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/07/23 15:42:55 - mmengine - INFO - Epoch(train) [96][880/3757] lr: 1.0000e-04 eta: 1:11:12 time: 0.2373 data_time: 0.0228 memory: 6108 grad_norm: 9.2914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/07/23 15:43:00 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 1.0000e-04 eta: 1:11:07 time: 0.2381 data_time: 0.0248 memory: 6108 grad_norm: 9.5251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2143 loss: 1.2143 2022/07/23 15:43:05 - mmengine - INFO - Epoch(train) [96][920/3757] lr: 1.0000e-04 eta: 1:11:03 time: 0.2473 data_time: 0.0473 memory: 6108 grad_norm: 8.9383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/07/23 15:43:09 - mmengine - INFO - Epoch(train) [96][940/3757] lr: 1.0000e-04 eta: 1:10:58 time: 0.2260 data_time: 0.0167 memory: 6108 grad_norm: 9.4782 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0475 loss: 1.0475 2022/07/23 15:43:14 - mmengine - INFO - Epoch(train) [96][960/3757] lr: 1.0000e-04 eta: 1:10:53 time: 0.2291 data_time: 0.0224 memory: 6108 grad_norm: 9.2654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0978 loss: 1.0978 2022/07/23 15:43:19 - mmengine - INFO - Epoch(train) [96][980/3757] lr: 1.0000e-04 eta: 1:10:48 time: 0.2542 data_time: 0.0486 memory: 6108 grad_norm: 9.1138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/07/23 15:43:24 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 1.0000e-04 eta: 1:10:43 time: 0.2342 data_time: 0.0248 memory: 6108 grad_norm: 9.5386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3458 loss: 1.3458 2022/07/23 15:43:28 - mmengine - INFO - Epoch(train) [96][1020/3757] lr: 1.0000e-04 eta: 1:10:39 time: 0.2360 data_time: 0.0203 memory: 6108 grad_norm: 9.3282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/07/23 15:43:33 - mmengine - INFO - Epoch(train) [96][1040/3757] lr: 1.0000e-04 eta: 1:10:34 time: 0.2298 data_time: 0.0222 memory: 6108 grad_norm: 9.0986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0554 loss: 1.0554 2022/07/23 15:43:38 - mmengine - INFO - Epoch(train) [96][1060/3757] lr: 1.0000e-04 eta: 1:10:29 time: 0.2379 data_time: 0.0195 memory: 6108 grad_norm: 9.7215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1259 loss: 1.1259 2022/07/23 15:43:42 - mmengine - INFO - Epoch(train) [96][1080/3757] lr: 1.0000e-04 eta: 1:10:24 time: 0.2338 data_time: 0.0244 memory: 6108 grad_norm: 9.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/07/23 15:43:44 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:43:47 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 1.0000e-04 eta: 1:10:20 time: 0.2327 data_time: 0.0165 memory: 6108 grad_norm: 9.3282 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0639 loss: 1.0639 2022/07/23 15:43:52 - mmengine - INFO - Epoch(train) [96][1120/3757] lr: 1.0000e-04 eta: 1:10:15 time: 0.2299 data_time: 0.0256 memory: 6108 grad_norm: 9.6017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/07/23 15:43:56 - mmengine - INFO - Epoch(train) [96][1140/3757] lr: 1.0000e-04 eta: 1:10:10 time: 0.2289 data_time: 0.0215 memory: 6108 grad_norm: 9.3586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1262 loss: 1.1262 2022/07/23 15:44:01 - mmengine - INFO - Epoch(train) [96][1160/3757] lr: 1.0000e-04 eta: 1:10:05 time: 0.2310 data_time: 0.0204 memory: 6108 grad_norm: 9.5152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1509 loss: 1.1509 2022/07/23 15:44:06 - mmengine - INFO - Epoch(train) [96][1180/3757] lr: 1.0000e-04 eta: 1:10:00 time: 0.2342 data_time: 0.0213 memory: 6108 grad_norm: 9.3273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2079 loss: 1.2079 2022/07/23 15:44:11 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 1.0000e-04 eta: 1:09:56 time: 0.2354 data_time: 0.0318 memory: 6108 grad_norm: 9.4344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1611 loss: 1.1611 2022/07/23 15:44:15 - mmengine - INFO - Epoch(train) [96][1220/3757] lr: 1.0000e-04 eta: 1:09:51 time: 0.2282 data_time: 0.0170 memory: 6108 grad_norm: 9.2980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/07/23 15:44:20 - mmengine - INFO - Epoch(train) [96][1240/3757] lr: 1.0000e-04 eta: 1:09:46 time: 0.2347 data_time: 0.0217 memory: 6108 grad_norm: 9.1717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0355 loss: 1.0355 2022/07/23 15:44:25 - mmengine - INFO - Epoch(train) [96][1260/3757] lr: 1.0000e-04 eta: 1:09:41 time: 0.2612 data_time: 0.0208 memory: 6108 grad_norm: 9.1020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1188 loss: 1.1188 2022/07/23 15:44:30 - mmengine - INFO - Epoch(train) [96][1280/3757] lr: 1.0000e-04 eta: 1:09:37 time: 0.2320 data_time: 0.0192 memory: 6108 grad_norm: 9.4413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/07/23 15:44:34 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 1.0000e-04 eta: 1:09:32 time: 0.2286 data_time: 0.0213 memory: 6108 grad_norm: 9.4476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/07/23 15:44:39 - mmengine - INFO - Epoch(train) [96][1320/3757] lr: 1.0000e-04 eta: 1:09:27 time: 0.2404 data_time: 0.0227 memory: 6108 grad_norm: 9.6729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1867 loss: 1.1867 2022/07/23 15:44:44 - mmengine - INFO - Epoch(train) [96][1340/3757] lr: 1.0000e-04 eta: 1:09:22 time: 0.2359 data_time: 0.0231 memory: 6108 grad_norm: 9.3318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1307 loss: 1.1307 2022/07/23 15:44:49 - mmengine - INFO - Epoch(train) [96][1360/3757] lr: 1.0000e-04 eta: 1:09:17 time: 0.2544 data_time: 0.0200 memory: 6108 grad_norm: 9.3329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/07/23 15:44:54 - mmengine - INFO - Epoch(train) [96][1380/3757] lr: 1.0000e-04 eta: 1:09:13 time: 0.2341 data_time: 0.0213 memory: 6108 grad_norm: 9.3926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0369 loss: 1.0369 2022/07/23 15:44:58 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 1.0000e-04 eta: 1:09:08 time: 0.2287 data_time: 0.0223 memory: 6108 grad_norm: 9.5642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2682 loss: 1.2682 2022/07/23 15:45:03 - mmengine - INFO - Epoch(train) [96][1420/3757] lr: 1.0000e-04 eta: 1:09:03 time: 0.2397 data_time: 0.0248 memory: 6108 grad_norm: 9.5504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1568 loss: 1.1568 2022/07/23 15:45:08 - mmengine - INFO - Epoch(train) [96][1440/3757] lr: 1.0000e-04 eta: 1:08:58 time: 0.2349 data_time: 0.0338 memory: 6108 grad_norm: 9.5717 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/23 15:45:13 - mmengine - INFO - Epoch(train) [96][1460/3757] lr: 1.0000e-04 eta: 1:08:54 time: 0.2328 data_time: 0.0247 memory: 6108 grad_norm: 9.7025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1654 loss: 1.1654 2022/07/23 15:45:17 - mmengine - INFO - Epoch(train) [96][1480/3757] lr: 1.0000e-04 eta: 1:08:49 time: 0.2370 data_time: 0.0227 memory: 6108 grad_norm: 9.4879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2677 loss: 1.2677 2022/07/23 15:45:22 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 1.0000e-04 eta: 1:08:44 time: 0.2314 data_time: 0.0260 memory: 6108 grad_norm: 9.3405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2121 loss: 1.2121 2022/07/23 15:45:27 - mmengine - INFO - Epoch(train) [96][1520/3757] lr: 1.0000e-04 eta: 1:08:39 time: 0.2318 data_time: 0.0235 memory: 6108 grad_norm: 9.2202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1254 loss: 1.1254 2022/07/23 15:45:31 - mmengine - INFO - Epoch(train) [96][1540/3757] lr: 1.0000e-04 eta: 1:08:34 time: 0.2296 data_time: 0.0176 memory: 6108 grad_norm: 9.2433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/07/23 15:45:36 - mmengine - INFO - Epoch(train) [96][1560/3757] lr: 1.0000e-04 eta: 1:08:30 time: 0.2342 data_time: 0.0264 memory: 6108 grad_norm: 9.3288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/07/23 15:45:41 - mmengine - INFO - Epoch(train) [96][1580/3757] lr: 1.0000e-04 eta: 1:08:25 time: 0.2344 data_time: 0.0230 memory: 6108 grad_norm: 9.1157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9508 loss: 0.9508 2022/07/23 15:45:45 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 1.0000e-04 eta: 1:08:20 time: 0.2307 data_time: 0.0205 memory: 6108 grad_norm: 9.4098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0768 loss: 1.0768 2022/07/23 15:45:50 - mmengine - INFO - Epoch(train) [96][1620/3757] lr: 1.0000e-04 eta: 1:08:15 time: 0.2337 data_time: 0.0271 memory: 6108 grad_norm: 9.3854 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1577 loss: 1.1577 2022/07/23 15:45:55 - mmengine - INFO - Epoch(train) [96][1640/3757] lr: 1.0000e-04 eta: 1:08:11 time: 0.2299 data_time: 0.0191 memory: 6108 grad_norm: 9.4140 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0323 loss: 1.0323 2022/07/23 15:46:00 - mmengine - INFO - Epoch(train) [96][1660/3757] lr: 1.0000e-04 eta: 1:08:06 time: 0.2389 data_time: 0.0198 memory: 6108 grad_norm: 9.3622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3809 loss: 1.3809 2022/07/23 15:46:04 - mmengine - INFO - Epoch(train) [96][1680/3757] lr: 1.0000e-04 eta: 1:08:01 time: 0.2311 data_time: 0.0302 memory: 6108 grad_norm: 9.2766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2443 loss: 1.2443 2022/07/23 15:46:09 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 1.0000e-04 eta: 1:07:56 time: 0.2324 data_time: 0.0212 memory: 6108 grad_norm: 9.4054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/07/23 15:46:14 - mmengine - INFO - Epoch(train) [96][1720/3757] lr: 1.0000e-04 eta: 1:07:51 time: 0.2326 data_time: 0.0185 memory: 6108 grad_norm: 9.4559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4762 loss: 1.4762 2022/07/23 15:46:18 - mmengine - INFO - Epoch(train) [96][1740/3757] lr: 1.0000e-04 eta: 1:07:47 time: 0.2360 data_time: 0.0200 memory: 6108 grad_norm: 9.1310 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/07/23 15:46:23 - mmengine - INFO - Epoch(train) [96][1760/3757] lr: 1.0000e-04 eta: 1:07:42 time: 0.2334 data_time: 0.0241 memory: 6108 grad_norm: 9.3300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/07/23 15:46:28 - mmengine - INFO - Epoch(train) [96][1780/3757] lr: 1.0000e-04 eta: 1:07:37 time: 0.2310 data_time: 0.0165 memory: 6108 grad_norm: 9.0209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0976 loss: 1.0976 2022/07/23 15:46:32 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 1.0000e-04 eta: 1:07:32 time: 0.2263 data_time: 0.0199 memory: 6108 grad_norm: 8.9944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1617 loss: 1.1617 2022/07/23 15:46:37 - mmengine - INFO - Epoch(train) [96][1820/3757] lr: 1.0000e-04 eta: 1:07:28 time: 0.2397 data_time: 0.0228 memory: 6108 grad_norm: 9.0758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1119 loss: 1.1119 2022/07/23 15:46:42 - mmengine - INFO - Epoch(train) [96][1840/3757] lr: 1.0000e-04 eta: 1:07:23 time: 0.2342 data_time: 0.0187 memory: 6108 grad_norm: 9.1529 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0528 loss: 1.0528 2022/07/23 15:46:46 - mmengine - INFO - Epoch(train) [96][1860/3757] lr: 1.0000e-04 eta: 1:07:18 time: 0.2301 data_time: 0.0248 memory: 6108 grad_norm: 9.3835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/07/23 15:46:51 - mmengine - INFO - Epoch(train) [96][1880/3757] lr: 1.0000e-04 eta: 1:07:13 time: 0.2307 data_time: 0.0197 memory: 6108 grad_norm: 9.5404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0890 loss: 1.0890 2022/07/23 15:46:56 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 1.0000e-04 eta: 1:07:08 time: 0.2289 data_time: 0.0212 memory: 6108 grad_norm: 9.2617 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/07/23 15:47:01 - mmengine - INFO - Epoch(train) [96][1920/3757] lr: 1.0000e-04 eta: 1:07:04 time: 0.2361 data_time: 0.0211 memory: 6108 grad_norm: 9.4254 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3032 loss: 1.3032 2022/07/23 15:47:05 - mmengine - INFO - Epoch(train) [96][1940/3757] lr: 1.0000e-04 eta: 1:06:59 time: 0.2346 data_time: 0.0180 memory: 6108 grad_norm: 9.4571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/07/23 15:47:10 - mmengine - INFO - Epoch(train) [96][1960/3757] lr: 1.0000e-04 eta: 1:06:54 time: 0.2300 data_time: 0.0190 memory: 6108 grad_norm: 9.5703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/07/23 15:47:14 - mmengine - INFO - Epoch(train) [96][1980/3757] lr: 1.0000e-04 eta: 1:06:49 time: 0.2278 data_time: 0.0233 memory: 6108 grad_norm: 9.5399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/07/23 15:47:19 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 1.0000e-04 eta: 1:06:45 time: 0.2483 data_time: 0.0168 memory: 6108 grad_norm: 8.9763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2584 loss: 1.2584 2022/07/23 15:47:24 - mmengine - INFO - Epoch(train) [96][2020/3757] lr: 1.0000e-04 eta: 1:06:40 time: 0.2341 data_time: 0.0188 memory: 6108 grad_norm: 9.2420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/07/23 15:47:29 - mmengine - INFO - Epoch(train) [96][2040/3757] lr: 1.0000e-04 eta: 1:06:35 time: 0.2296 data_time: 0.0196 memory: 6108 grad_norm: 9.4623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1673 loss: 1.1673 2022/07/23 15:47:34 - mmengine - INFO - Epoch(train) [96][2060/3757] lr: 1.0000e-04 eta: 1:06:30 time: 0.2351 data_time: 0.0181 memory: 6108 grad_norm: 9.2524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/07/23 15:47:39 - mmengine - INFO - Epoch(train) [96][2080/3757] lr: 1.0000e-04 eta: 1:06:26 time: 0.2521 data_time: 0.0227 memory: 6108 grad_norm: 9.3580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/07/23 15:47:40 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:47:43 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 1.0000e-04 eta: 1:06:21 time: 0.2313 data_time: 0.0255 memory: 6108 grad_norm: 8.9438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2600 loss: 1.2600 2022/07/23 15:47:48 - mmengine - INFO - Epoch(train) [96][2120/3757] lr: 1.0000e-04 eta: 1:06:16 time: 0.2320 data_time: 0.0200 memory: 6108 grad_norm: 9.5194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1553 loss: 1.1553 2022/07/23 15:47:53 - mmengine - INFO - Epoch(train) [96][2140/3757] lr: 1.0000e-04 eta: 1:06:11 time: 0.2339 data_time: 0.0175 memory: 6108 grad_norm: 9.8949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/07/23 15:47:58 - mmengine - INFO - Epoch(train) [96][2160/3757] lr: 1.0000e-04 eta: 1:06:06 time: 0.2453 data_time: 0.0223 memory: 6108 grad_norm: 9.5333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1702 loss: 1.1702 2022/07/23 15:48:02 - mmengine - INFO - Epoch(train) [96][2180/3757] lr: 1.0000e-04 eta: 1:06:02 time: 0.2298 data_time: 0.0178 memory: 6108 grad_norm: 9.5996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/07/23 15:48:07 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 1.0000e-04 eta: 1:05:57 time: 0.2296 data_time: 0.0170 memory: 6108 grad_norm: 9.5785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8714 loss: 0.8714 2022/07/23 15:48:12 - mmengine - INFO - Epoch(train) [96][2220/3757] lr: 1.0000e-04 eta: 1:05:52 time: 0.2341 data_time: 0.0226 memory: 6108 grad_norm: 9.4940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/07/23 15:48:16 - mmengine - INFO - Epoch(train) [96][2240/3757] lr: 1.0000e-04 eta: 1:05:47 time: 0.2284 data_time: 0.0240 memory: 6108 grad_norm: 9.7157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/07/23 15:48:21 - mmengine - INFO - Epoch(train) [96][2260/3757] lr: 1.0000e-04 eta: 1:05:43 time: 0.2549 data_time: 0.0233 memory: 6108 grad_norm: 9.5259 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2139 loss: 1.2139 2022/07/23 15:48:26 - mmengine - INFO - Epoch(train) [96][2280/3757] lr: 1.0000e-04 eta: 1:05:38 time: 0.2282 data_time: 0.0202 memory: 6108 grad_norm: 9.3271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/07/23 15:48:31 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 1.0000e-04 eta: 1:05:33 time: 0.2302 data_time: 0.0233 memory: 6108 grad_norm: 9.4059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0295 loss: 1.0295 2022/07/23 15:48:35 - mmengine - INFO - Epoch(train) [96][2320/3757] lr: 1.0000e-04 eta: 1:05:28 time: 0.2312 data_time: 0.0185 memory: 6108 grad_norm: 9.4421 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1488 loss: 1.1488 2022/07/23 15:48:40 - mmengine - INFO - Epoch(train) [96][2340/3757] lr: 1.0000e-04 eta: 1:05:23 time: 0.2472 data_time: 0.0277 memory: 6108 grad_norm: 9.4325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1318 loss: 1.1318 2022/07/23 15:48:45 - mmengine - INFO - Epoch(train) [96][2360/3757] lr: 1.0000e-04 eta: 1:05:19 time: 0.2364 data_time: 0.0174 memory: 6108 grad_norm: 9.5409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1956 loss: 1.1956 2022/07/23 15:48:50 - mmengine - INFO - Epoch(train) [96][2380/3757] lr: 1.0000e-04 eta: 1:05:14 time: 0.2394 data_time: 0.0185 memory: 6108 grad_norm: 9.2770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/07/23 15:48:54 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 1.0000e-04 eta: 1:05:09 time: 0.2277 data_time: 0.0213 memory: 6108 grad_norm: 9.6250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/07/23 15:48:59 - mmengine - INFO - Epoch(train) [96][2420/3757] lr: 1.0000e-04 eta: 1:05:04 time: 0.2416 data_time: 0.0199 memory: 6108 grad_norm: 9.4298 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/07/23 15:49:04 - mmengine - INFO - Epoch(train) [96][2440/3757] lr: 1.0000e-04 eta: 1:05:00 time: 0.2295 data_time: 0.0217 memory: 6108 grad_norm: 9.4900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/07/23 15:49:09 - mmengine - INFO - Epoch(train) [96][2460/3757] lr: 1.0000e-04 eta: 1:04:55 time: 0.2339 data_time: 0.0225 memory: 6108 grad_norm: 9.1598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1034 loss: 1.1034 2022/07/23 15:49:13 - mmengine - INFO - Epoch(train) [96][2480/3757] lr: 1.0000e-04 eta: 1:04:50 time: 0.2259 data_time: 0.0233 memory: 6108 grad_norm: 9.4801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2253 loss: 1.2253 2022/07/23 15:49:18 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 1.0000e-04 eta: 1:04:45 time: 0.2403 data_time: 0.0230 memory: 6108 grad_norm: 9.6447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1368 loss: 1.1368 2022/07/23 15:49:23 - mmengine - INFO - Epoch(train) [96][2520/3757] lr: 1.0000e-04 eta: 1:04:40 time: 0.2294 data_time: 0.0257 memory: 6108 grad_norm: 9.5346 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9539 loss: 0.9539 2022/07/23 15:49:27 - mmengine - INFO - Epoch(train) [96][2540/3757] lr: 1.0000e-04 eta: 1:04:36 time: 0.2274 data_time: 0.0222 memory: 6108 grad_norm: 9.4642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1648 loss: 1.1648 2022/07/23 15:49:32 - mmengine - INFO - Epoch(train) [96][2560/3757] lr: 1.0000e-04 eta: 1:04:31 time: 0.2344 data_time: 0.0237 memory: 6108 grad_norm: 9.1412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2219 loss: 1.2219 2022/07/23 15:49:37 - mmengine - INFO - Epoch(train) [96][2580/3757] lr: 1.0000e-04 eta: 1:04:26 time: 0.2368 data_time: 0.0206 memory: 6108 grad_norm: 9.4671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/07/23 15:49:41 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 1.0000e-04 eta: 1:04:21 time: 0.2287 data_time: 0.0231 memory: 6108 grad_norm: 9.4234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/07/23 15:49:46 - mmengine - INFO - Epoch(train) [96][2620/3757] lr: 1.0000e-04 eta: 1:04:17 time: 0.2314 data_time: 0.0200 memory: 6108 grad_norm: 9.3441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0241 loss: 1.0241 2022/07/23 15:49:51 - mmengine - INFO - Epoch(train) [96][2640/3757] lr: 1.0000e-04 eta: 1:04:12 time: 0.2441 data_time: 0.0462 memory: 6108 grad_norm: 9.8591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/07/23 15:49:55 - mmengine - INFO - Epoch(train) [96][2660/3757] lr: 1.0000e-04 eta: 1:04:07 time: 0.2315 data_time: 0.0191 memory: 6108 grad_norm: 9.6174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2049 loss: 1.2049 2022/07/23 15:50:00 - mmengine - INFO - Epoch(train) [96][2680/3757] lr: 1.0000e-04 eta: 1:04:02 time: 0.2368 data_time: 0.0197 memory: 6108 grad_norm: 9.0427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0741 loss: 1.0741 2022/07/23 15:50:05 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 1.0000e-04 eta: 1:03:57 time: 0.2306 data_time: 0.0215 memory: 6108 grad_norm: 9.5396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1735 loss: 1.1735 2022/07/23 15:50:10 - mmengine - INFO - Epoch(train) [96][2720/3757] lr: 1.0000e-04 eta: 1:03:53 time: 0.2368 data_time: 0.0253 memory: 6108 grad_norm: 9.5125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0052 loss: 1.0052 2022/07/23 15:50:14 - mmengine - INFO - Epoch(train) [96][2740/3757] lr: 1.0000e-04 eta: 1:03:48 time: 0.2318 data_time: 0.0238 memory: 6108 grad_norm: 9.4885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1079 loss: 1.1079 2022/07/23 15:50:19 - mmengine - INFO - Epoch(train) [96][2760/3757] lr: 1.0000e-04 eta: 1:03:43 time: 0.2356 data_time: 0.0258 memory: 6108 grad_norm: 9.2554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0982 loss: 1.0982 2022/07/23 15:50:24 - mmengine - INFO - Epoch(train) [96][2780/3757] lr: 1.0000e-04 eta: 1:03:38 time: 0.2340 data_time: 0.0197 memory: 6108 grad_norm: 9.3135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/07/23 15:50:28 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 1.0000e-04 eta: 1:03:34 time: 0.2297 data_time: 0.0219 memory: 6108 grad_norm: 9.6554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9339 loss: 0.9339 2022/07/23 15:50:33 - mmengine - INFO - Epoch(train) [96][2820/3757] lr: 1.0000e-04 eta: 1:03:29 time: 0.2334 data_time: 0.0259 memory: 6108 grad_norm: 9.2710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1093 loss: 1.1093 2022/07/23 15:50:38 - mmengine - INFO - Epoch(train) [96][2840/3757] lr: 1.0000e-04 eta: 1:03:24 time: 0.2422 data_time: 0.0207 memory: 6108 grad_norm: 9.2564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/07/23 15:50:43 - mmengine - INFO - Epoch(train) [96][2860/3757] lr: 1.0000e-04 eta: 1:03:19 time: 0.2342 data_time: 0.0363 memory: 6108 grad_norm: 9.2680 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0583 loss: 1.0583 2022/07/23 15:50:47 - mmengine - INFO - Epoch(train) [96][2880/3757] lr: 1.0000e-04 eta: 1:03:14 time: 0.2352 data_time: 0.0239 memory: 6108 grad_norm: 9.3922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1362 loss: 1.1362 2022/07/23 15:50:52 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 1.0000e-04 eta: 1:03:10 time: 0.2327 data_time: 0.0175 memory: 6108 grad_norm: 8.8744 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1604 loss: 1.1604 2022/07/23 15:50:57 - mmengine - INFO - Epoch(train) [96][2920/3757] lr: 1.0000e-04 eta: 1:03:05 time: 0.2403 data_time: 0.0195 memory: 6108 grad_norm: 9.6088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/07/23 15:51:02 - mmengine - INFO - Epoch(train) [96][2940/3757] lr: 1.0000e-04 eta: 1:03:00 time: 0.2329 data_time: 0.0264 memory: 6108 grad_norm: 9.5338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/07/23 15:51:06 - mmengine - INFO - Epoch(train) [96][2960/3757] lr: 1.0000e-04 eta: 1:02:55 time: 0.2252 data_time: 0.0211 memory: 6108 grad_norm: 9.6241 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3522 loss: 1.3522 2022/07/23 15:51:11 - mmengine - INFO - Epoch(train) [96][2980/3757] lr: 1.0000e-04 eta: 1:02:51 time: 0.2298 data_time: 0.0222 memory: 6108 grad_norm: 9.3407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9044 loss: 0.9044 2022/07/23 15:51:16 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 1.0000e-04 eta: 1:02:46 time: 0.2339 data_time: 0.0277 memory: 6108 grad_norm: 9.1447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1074 loss: 1.1074 2022/07/23 15:51:20 - mmengine - INFO - Epoch(train) [96][3020/3757] lr: 1.0000e-04 eta: 1:02:41 time: 0.2429 data_time: 0.0219 memory: 6108 grad_norm: 9.7707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/23 15:51:25 - mmengine - INFO - Epoch(train) [96][3040/3757] lr: 1.0000e-04 eta: 1:02:36 time: 0.2293 data_time: 0.0200 memory: 6108 grad_norm: 9.0159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/07/23 15:51:30 - mmengine - INFO - Epoch(train) [96][3060/3757] lr: 1.0000e-04 eta: 1:02:31 time: 0.2361 data_time: 0.0220 memory: 6108 grad_norm: 9.0552 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9720 loss: 0.9720 2022/07/23 15:51:34 - mmengine - INFO - Epoch(train) [96][3080/3757] lr: 1.0000e-04 eta: 1:02:27 time: 0.2304 data_time: 0.0204 memory: 6108 grad_norm: 9.4273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1427 loss: 1.1427 2022/07/23 15:51:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:51:39 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 1.0000e-04 eta: 1:02:22 time: 0.2285 data_time: 0.0213 memory: 6108 grad_norm: 9.2134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1605 loss: 1.1605 2022/07/23 15:51:44 - mmengine - INFO - Epoch(train) [96][3120/3757] lr: 1.0000e-04 eta: 1:02:17 time: 0.2322 data_time: 0.0262 memory: 6108 grad_norm: 9.4711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/07/23 15:51:49 - mmengine - INFO - Epoch(train) [96][3140/3757] lr: 1.0000e-04 eta: 1:02:12 time: 0.2402 data_time: 0.0193 memory: 6108 grad_norm: 9.5694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3203 loss: 1.3203 2022/07/23 15:51:53 - mmengine - INFO - Epoch(train) [96][3160/3757] lr: 1.0000e-04 eta: 1:02:08 time: 0.2286 data_time: 0.0182 memory: 6108 grad_norm: 9.7943 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2592 loss: 1.2592 2022/07/23 15:51:58 - mmengine - INFO - Epoch(train) [96][3180/3757] lr: 1.0000e-04 eta: 1:02:03 time: 0.2343 data_time: 0.0234 memory: 6108 grad_norm: 9.2851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0655 loss: 1.0655 2022/07/23 15:52:03 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 1.0000e-04 eta: 1:01:58 time: 0.2386 data_time: 0.0231 memory: 6108 grad_norm: 9.6117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9321 loss: 0.9321 2022/07/23 15:52:08 - mmengine - INFO - Epoch(train) [96][3220/3757] lr: 1.0000e-04 eta: 1:01:53 time: 0.2412 data_time: 0.0305 memory: 6108 grad_norm: 9.6001 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1673 loss: 1.1673 2022/07/23 15:52:12 - mmengine - INFO - Epoch(train) [96][3240/3757] lr: 1.0000e-04 eta: 1:01:48 time: 0.2304 data_time: 0.0275 memory: 6108 grad_norm: 9.2693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/07/23 15:52:17 - mmengine - INFO - Epoch(train) [96][3260/3757] lr: 1.0000e-04 eta: 1:01:44 time: 0.2339 data_time: 0.0227 memory: 6108 grad_norm: 9.1004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/07/23 15:52:22 - mmengine - INFO - Epoch(train) [96][3280/3757] lr: 1.0000e-04 eta: 1:01:39 time: 0.2300 data_time: 0.0219 memory: 6108 grad_norm: 9.2786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2814 loss: 1.2814 2022/07/23 15:52:26 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 1.0000e-04 eta: 1:01:34 time: 0.2349 data_time: 0.0237 memory: 6108 grad_norm: 9.3375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0636 loss: 1.0636 2022/07/23 15:52:31 - mmengine - INFO - Epoch(train) [96][3320/3757] lr: 1.0000e-04 eta: 1:01:29 time: 0.2373 data_time: 0.0204 memory: 6108 grad_norm: 9.6981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2814 loss: 1.2814 2022/07/23 15:52:36 - mmengine - INFO - Epoch(train) [96][3340/3757] lr: 1.0000e-04 eta: 1:01:25 time: 0.2277 data_time: 0.0240 memory: 6108 grad_norm: 9.3384 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3727 loss: 1.3727 2022/07/23 15:52:40 - mmengine - INFO - Epoch(train) [96][3360/3757] lr: 1.0000e-04 eta: 1:01:20 time: 0.2382 data_time: 0.0240 memory: 6108 grad_norm: 9.3688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/07/23 15:52:45 - mmengine - INFO - Epoch(train) [96][3380/3757] lr: 1.0000e-04 eta: 1:01:15 time: 0.2306 data_time: 0.0259 memory: 6108 grad_norm: 9.5701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/07/23 15:52:50 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 1.0000e-04 eta: 1:01:10 time: 0.2326 data_time: 0.0249 memory: 6108 grad_norm: 9.5457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2804 loss: 1.2804 2022/07/23 15:52:54 - mmengine - INFO - Epoch(train) [96][3420/3757] lr: 1.0000e-04 eta: 1:01:06 time: 0.2317 data_time: 0.0229 memory: 6108 grad_norm: 9.3823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1560 loss: 1.1560 2022/07/23 15:52:59 - mmengine - INFO - Epoch(train) [96][3440/3757] lr: 1.0000e-04 eta: 1:01:01 time: 0.2370 data_time: 0.0211 memory: 6108 grad_norm: 9.5642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2148 loss: 1.2148 2022/07/23 15:53:04 - mmengine - INFO - Epoch(train) [96][3460/3757] lr: 1.0000e-04 eta: 1:00:56 time: 0.2295 data_time: 0.0242 memory: 6108 grad_norm: 9.4405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0146 loss: 1.0146 2022/07/23 15:53:09 - mmengine - INFO - Epoch(train) [96][3480/3757] lr: 1.0000e-04 eta: 1:00:51 time: 0.2359 data_time: 0.0236 memory: 6108 grad_norm: 9.4264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/07/23 15:53:14 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 1.0000e-04 eta: 1:00:46 time: 0.2491 data_time: 0.0150 memory: 6108 grad_norm: 9.7200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/07/23 15:53:18 - mmengine - INFO - Epoch(train) [96][3520/3757] lr: 1.0000e-04 eta: 1:00:42 time: 0.2367 data_time: 0.0185 memory: 6108 grad_norm: 9.5410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1152 loss: 1.1152 2022/07/23 15:53:23 - mmengine - INFO - Epoch(train) [96][3540/3757] lr: 1.0000e-04 eta: 1:00:37 time: 0.2304 data_time: 0.0230 memory: 6108 grad_norm: 9.3754 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0522 loss: 1.0522 2022/07/23 15:53:28 - mmengine - INFO - Epoch(train) [96][3560/3757] lr: 1.0000e-04 eta: 1:00:32 time: 0.2507 data_time: 0.0214 memory: 6108 grad_norm: 9.2628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0843 loss: 1.0843 2022/07/23 15:53:33 - mmengine - INFO - Epoch(train) [96][3580/3757] lr: 1.0000e-04 eta: 1:00:27 time: 0.2259 data_time: 0.0221 memory: 6108 grad_norm: 9.2461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/07/23 15:53:37 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 1.0000e-04 eta: 1:00:23 time: 0.2305 data_time: 0.0229 memory: 6108 grad_norm: 9.6798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0869 loss: 1.0869 2022/07/23 15:53:42 - mmengine - INFO - Epoch(train) [96][3620/3757] lr: 1.0000e-04 eta: 1:00:18 time: 0.2302 data_time: 0.0210 memory: 6108 grad_norm: 9.2314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1913 loss: 1.1913 2022/07/23 15:53:47 - mmengine - INFO - Epoch(train) [96][3640/3757] lr: 1.0000e-04 eta: 1:00:13 time: 0.2363 data_time: 0.0205 memory: 6108 grad_norm: 9.4782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/07/23 15:53:52 - mmengine - INFO - Epoch(train) [96][3660/3757] lr: 1.0000e-04 eta: 1:00:08 time: 0.2441 data_time: 0.0232 memory: 6108 grad_norm: 9.3797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/07/23 15:53:56 - mmengine - INFO - Epoch(train) [96][3680/3757] lr: 1.0000e-04 eta: 1:00:03 time: 0.2308 data_time: 0.0273 memory: 6108 grad_norm: 8.9775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/07/23 15:54:01 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 1.0000e-04 eta: 0:59:59 time: 0.2313 data_time: 0.0254 memory: 6108 grad_norm: 9.4519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0830 loss: 1.0830 2022/07/23 15:54:05 - mmengine - INFO - Epoch(train) [96][3720/3757] lr: 1.0000e-04 eta: 0:59:54 time: 0.2316 data_time: 0.0299 memory: 6108 grad_norm: 9.8043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1860 loss: 1.1860 2022/07/23 15:54:10 - mmengine - INFO - Epoch(train) [96][3740/3757] lr: 1.0000e-04 eta: 0:59:49 time: 0.2363 data_time: 0.0209 memory: 6108 grad_norm: 9.1512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2542 loss: 1.2542 2022/07/23 15:54:14 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:54:14 - mmengine - INFO - Epoch(train) [96][3757/3757] lr: 1.0000e-04 eta: 0:59:49 time: 0.1968 data_time: 0.0148 memory: 6108 grad_norm: 9.9476 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1254 loss: 1.1254 2022/07/23 15:54:19 - mmengine - INFO - Epoch(val) [96][20/310] eta: 0:01:24 time: 0.2923 data_time: 0.2149 memory: 1428 2022/07/23 15:54:23 - mmengine - INFO - Epoch(val) [96][40/310] eta: 0:00:49 time: 0.1821 data_time: 0.1055 memory: 1428 2022/07/23 15:54:28 - mmengine - INFO - Epoch(val) [96][60/310] eta: 0:00:56 time: 0.2255 data_time: 0.1282 memory: 1428 2022/07/23 15:54:32 - mmengine - INFO - Epoch(val) [96][80/310] eta: 0:00:46 time: 0.2006 data_time: 0.1225 memory: 1428 2022/07/23 15:54:36 - mmengine - INFO - Epoch(val) [96][100/310] eta: 0:00:45 time: 0.2146 data_time: 0.1392 memory: 1428 2022/07/23 15:54:40 - mmengine - INFO - Epoch(val) [96][120/310] eta: 0:00:36 time: 0.1934 data_time: 0.1195 memory: 1428 2022/07/23 15:54:45 - mmengine - INFO - Epoch(val) [96][140/310] eta: 0:00:45 time: 0.2652 data_time: 0.1903 memory: 1428 2022/07/23 15:54:49 - mmengine - INFO - Epoch(val) [96][160/310] eta: 0:00:28 time: 0.1873 data_time: 0.1123 memory: 1428 2022/07/23 15:54:54 - mmengine - INFO - Epoch(val) [96][180/310] eta: 0:00:32 time: 0.2536 data_time: 0.1800 memory: 1428 2022/07/23 15:54:58 - mmengine - INFO - Epoch(val) [96][200/310] eta: 0:00:20 time: 0.1847 data_time: 0.1125 memory: 1428 2022/07/23 15:55:02 - mmengine - INFO - Epoch(val) [96][220/310] eta: 0:00:20 time: 0.2240 data_time: 0.1468 memory: 1428 2022/07/23 15:55:06 - mmengine - INFO - Epoch(val) [96][240/310] eta: 0:00:13 time: 0.1885 data_time: 0.1094 memory: 1428 2022/07/23 15:55:10 - mmengine - INFO - Epoch(val) [96][260/310] eta: 0:00:11 time: 0.2276 data_time: 0.1513 memory: 1428 2022/07/23 15:55:14 - mmengine - INFO - Epoch(val) [96][280/310] eta: 0:00:05 time: 0.1970 data_time: 0.1215 memory: 1428 2022/07/23 15:55:19 - mmengine - INFO - Epoch(val) [96][300/310] eta: 0:00:02 time: 0.2106 data_time: 0.1400 memory: 1428 2022/07/23 15:55:22 - mmengine - INFO - Epoch(val) [96][310/310] acc/top1: 0.6661 acc/top5: 0.8656 acc/mean1: 0.6661 2022/07/23 15:55:29 - mmengine - INFO - Epoch(train) [97][20/3757] lr: 1.0000e-04 eta: 0:59:40 time: 0.3193 data_time: 0.1039 memory: 6108 grad_norm: 9.4085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/07/23 15:55:33 - mmengine - INFO - Epoch(train) [97][40/3757] lr: 1.0000e-04 eta: 0:59:35 time: 0.2327 data_time: 0.0188 memory: 6108 grad_norm: 9.1925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1129 loss: 1.1129 2022/07/23 15:55:38 - mmengine - INFO - Epoch(train) [97][60/3757] lr: 1.0000e-04 eta: 0:59:31 time: 0.2464 data_time: 0.0241 memory: 6108 grad_norm: 9.6557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/07/23 15:55:43 - mmengine - INFO - Epoch(train) [97][80/3757] lr: 1.0000e-04 eta: 0:59:26 time: 0.2400 data_time: 0.0179 memory: 6108 grad_norm: 9.2826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0255 loss: 1.0255 2022/07/23 15:55:48 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 1.0000e-04 eta: 0:59:21 time: 0.2333 data_time: 0.0170 memory: 6108 grad_norm: 9.2613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2752 loss: 1.2752 2022/07/23 15:55:52 - mmengine - INFO - Epoch(train) [97][120/3757] lr: 1.0000e-04 eta: 0:59:16 time: 0.2307 data_time: 0.0231 memory: 6108 grad_norm: 9.2951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0116 loss: 1.0116 2022/07/23 15:55:57 - mmengine - INFO - Epoch(train) [97][140/3757] lr: 1.0000e-04 eta: 0:59:12 time: 0.2306 data_time: 0.0181 memory: 6108 grad_norm: 9.7856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/07/23 15:56:02 - mmengine - INFO - Epoch(train) [97][160/3757] lr: 1.0000e-04 eta: 0:59:07 time: 0.2426 data_time: 0.0176 memory: 6108 grad_norm: 9.1536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9824 loss: 0.9824 2022/07/23 15:56:06 - mmengine - INFO - Epoch(train) [97][180/3757] lr: 1.0000e-04 eta: 0:59:02 time: 0.2288 data_time: 0.0225 memory: 6108 grad_norm: 8.8165 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7587 loss: 0.7587 2022/07/23 15:56:11 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 1.0000e-04 eta: 0:58:57 time: 0.2318 data_time: 0.0233 memory: 6108 grad_norm: 9.9764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1825 loss: 1.1825 2022/07/23 15:56:16 - mmengine - INFO - Epoch(train) [97][220/3757] lr: 1.0000e-04 eta: 0:58:52 time: 0.2304 data_time: 0.0245 memory: 6108 grad_norm: 9.1924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/07/23 15:56:21 - mmengine - INFO - Epoch(train) [97][240/3757] lr: 1.0000e-04 eta: 0:58:48 time: 0.2380 data_time: 0.0203 memory: 6108 grad_norm: 9.3589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0372 loss: 1.0372 2022/07/23 15:56:25 - mmengine - INFO - Epoch(train) [97][260/3757] lr: 1.0000e-04 eta: 0:58:43 time: 0.2313 data_time: 0.0231 memory: 6108 grad_norm: 9.4659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/07/23 15:56:30 - mmengine - INFO - Epoch(train) [97][280/3757] lr: 1.0000e-04 eta: 0:58:38 time: 0.2288 data_time: 0.0191 memory: 6108 grad_norm: 8.9886 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/07/23 15:56:35 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 1.0000e-04 eta: 0:58:33 time: 0.2320 data_time: 0.0293 memory: 6108 grad_norm: 9.2347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/07/23 15:56:39 - mmengine - INFO - Epoch(train) [97][320/3757] lr: 1.0000e-04 eta: 0:58:29 time: 0.2328 data_time: 0.0237 memory: 6108 grad_norm: 9.3768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/07/23 15:56:41 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 15:56:44 - mmengine - INFO - Epoch(train) [97][340/3757] lr: 1.0000e-04 eta: 0:58:24 time: 0.2340 data_time: 0.0228 memory: 6108 grad_norm: 9.3887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/07/23 15:56:49 - mmengine - INFO - Epoch(train) [97][360/3757] lr: 1.0000e-04 eta: 0:58:19 time: 0.2315 data_time: 0.0221 memory: 6108 grad_norm: 9.3966 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2137 loss: 1.2137 2022/07/23 15:56:53 - mmengine - INFO - Epoch(train) [97][380/3757] lr: 1.0000e-04 eta: 0:58:14 time: 0.2292 data_time: 0.0209 memory: 6108 grad_norm: 9.4986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/07/23 15:56:58 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 1.0000e-04 eta: 0:58:09 time: 0.2360 data_time: 0.0237 memory: 6108 grad_norm: 9.3226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0662 loss: 1.0662 2022/07/23 15:57:03 - mmengine - INFO - Epoch(train) [97][420/3757] lr: 1.0000e-04 eta: 0:58:05 time: 0.2290 data_time: 0.0240 memory: 6108 grad_norm: 9.8028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2516 loss: 1.2516 2022/07/23 15:57:07 - mmengine - INFO - Epoch(train) [97][440/3757] lr: 1.0000e-04 eta: 0:58:00 time: 0.2287 data_time: 0.0221 memory: 6108 grad_norm: 9.8243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/07/23 15:57:12 - mmengine - INFO - Epoch(train) [97][460/3757] lr: 1.0000e-04 eta: 0:57:55 time: 0.2387 data_time: 0.0194 memory: 6108 grad_norm: 9.4386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1453 loss: 1.1453 2022/07/23 15:57:17 - mmengine - INFO - Epoch(train) [97][480/3757] lr: 1.0000e-04 eta: 0:57:50 time: 0.2340 data_time: 0.0311 memory: 6108 grad_norm: 9.4089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9744 loss: 0.9744 2022/07/23 15:57:21 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 1.0000e-04 eta: 0:57:46 time: 0.2358 data_time: 0.0234 memory: 6108 grad_norm: 9.3428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1978 loss: 1.1978 2022/07/23 15:57:26 - mmengine - INFO - Epoch(train) [97][520/3757] lr: 1.0000e-04 eta: 0:57:41 time: 0.2287 data_time: 0.0243 memory: 6108 grad_norm: 9.1998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9609 loss: 0.9609 2022/07/23 15:57:31 - mmengine - INFO - Epoch(train) [97][540/3757] lr: 1.0000e-04 eta: 0:57:36 time: 0.2327 data_time: 0.0260 memory: 6108 grad_norm: 9.5796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/07/23 15:57:35 - mmengine - INFO - Epoch(train) [97][560/3757] lr: 1.0000e-04 eta: 0:57:31 time: 0.2341 data_time: 0.0282 memory: 6108 grad_norm: 9.6824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0494 loss: 1.0494 2022/07/23 15:57:40 - mmengine - INFO - Epoch(train) [97][580/3757] lr: 1.0000e-04 eta: 0:57:26 time: 0.2394 data_time: 0.0177 memory: 6108 grad_norm: 9.5097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/07/23 15:57:45 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 1.0000e-04 eta: 0:57:22 time: 0.2262 data_time: 0.0208 memory: 6108 grad_norm: 9.1913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0762 loss: 1.0762 2022/07/23 15:57:50 - mmengine - INFO - Epoch(train) [97][620/3757] lr: 1.0000e-04 eta: 0:57:17 time: 0.2408 data_time: 0.0220 memory: 6108 grad_norm: 9.2212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0334 loss: 1.0334 2022/07/23 15:57:54 - mmengine - INFO - Epoch(train) [97][640/3757] lr: 1.0000e-04 eta: 0:57:12 time: 0.2264 data_time: 0.0183 memory: 6108 grad_norm: 9.8537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0523 loss: 1.0523 2022/07/23 15:57:59 - mmengine - INFO - Epoch(train) [97][660/3757] lr: 1.0000e-04 eta: 0:57:07 time: 0.2330 data_time: 0.0220 memory: 6108 grad_norm: 9.0701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1906 loss: 1.1906 2022/07/23 15:58:04 - mmengine - INFO - Epoch(train) [97][680/3757] lr: 1.0000e-04 eta: 0:57:03 time: 0.2361 data_time: 0.0241 memory: 6108 grad_norm: 9.3438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7582 loss: 0.7582 2022/07/23 15:58:08 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 1.0000e-04 eta: 0:56:58 time: 0.2369 data_time: 0.0328 memory: 6108 grad_norm: 9.4465 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0008 loss: 1.0008 2022/07/23 15:58:13 - mmengine - INFO - Epoch(train) [97][720/3757] lr: 1.0000e-04 eta: 0:56:53 time: 0.2355 data_time: 0.0229 memory: 6108 grad_norm: 9.0350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1262 loss: 1.1262 2022/07/23 15:58:18 - mmengine - INFO - Epoch(train) [97][740/3757] lr: 1.0000e-04 eta: 0:56:48 time: 0.2353 data_time: 0.0212 memory: 6108 grad_norm: 9.4143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/07/23 15:58:23 - mmengine - INFO - Epoch(train) [97][760/3757] lr: 1.0000e-04 eta: 0:56:43 time: 0.2278 data_time: 0.0193 memory: 6108 grad_norm: 9.4532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3341 loss: 1.3341 2022/07/23 15:58:27 - mmengine - INFO - Epoch(train) [97][780/3757] lr: 1.0000e-04 eta: 0:56:39 time: 0.2286 data_time: 0.0216 memory: 6108 grad_norm: 10.1622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2351 loss: 1.2351 2022/07/23 15:58:32 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 1.0000e-04 eta: 0:56:34 time: 0.2418 data_time: 0.0205 memory: 6108 grad_norm: 9.2604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1013 loss: 1.1013 2022/07/23 15:58:37 - mmengine - INFO - Epoch(train) [97][820/3757] lr: 1.0000e-04 eta: 0:56:29 time: 0.2335 data_time: 0.0217 memory: 6108 grad_norm: 9.3716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2981 loss: 1.2981 2022/07/23 15:58:41 - mmengine - INFO - Epoch(train) [97][840/3757] lr: 1.0000e-04 eta: 0:56:24 time: 0.2334 data_time: 0.0228 memory: 6108 grad_norm: 9.4807 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/07/23 15:58:46 - mmengine - INFO - Epoch(train) [97][860/3757] lr: 1.0000e-04 eta: 0:56:20 time: 0.2315 data_time: 0.0247 memory: 6108 grad_norm: 9.3069 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/07/23 15:58:51 - mmengine - INFO - Epoch(train) [97][880/3757] lr: 1.0000e-04 eta: 0:56:15 time: 0.2395 data_time: 0.0292 memory: 6108 grad_norm: 9.0560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9931 loss: 0.9931 2022/07/23 15:58:56 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 1.0000e-04 eta: 0:56:10 time: 0.2308 data_time: 0.0235 memory: 6108 grad_norm: 9.2768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/07/23 15:59:00 - mmengine - INFO - Epoch(train) [97][920/3757] lr: 1.0000e-04 eta: 0:56:05 time: 0.2433 data_time: 0.0265 memory: 6108 grad_norm: 9.4898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1773 loss: 1.1773 2022/07/23 15:59:05 - mmengine - INFO - Epoch(train) [97][940/3757] lr: 1.0000e-04 eta: 0:56:01 time: 0.2306 data_time: 0.0225 memory: 6108 grad_norm: 9.5776 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2567 loss: 1.2567 2022/07/23 15:59:10 - mmengine - INFO - Epoch(train) [97][960/3757] lr: 1.0000e-04 eta: 0:55:56 time: 0.2349 data_time: 0.0239 memory: 6108 grad_norm: 9.7645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8870 loss: 0.8870 2022/07/23 15:59:14 - mmengine - INFO - Epoch(train) [97][980/3757] lr: 1.0000e-04 eta: 0:55:51 time: 0.2299 data_time: 0.0238 memory: 6108 grad_norm: 8.9865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2360 loss: 1.2360 2022/07/23 15:59:19 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 1.0000e-04 eta: 0:55:46 time: 0.2357 data_time: 0.0239 memory: 6108 grad_norm: 9.4422 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/07/23 15:59:24 - mmengine - INFO - Epoch(train) [97][1020/3757] lr: 1.0000e-04 eta: 0:55:41 time: 0.2343 data_time: 0.0266 memory: 6108 grad_norm: 9.2566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2187 loss: 1.2187 2022/07/23 15:59:29 - mmengine - INFO - Epoch(train) [97][1040/3757] lr: 1.0000e-04 eta: 0:55:37 time: 0.2337 data_time: 0.0200 memory: 6108 grad_norm: 9.3227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0458 loss: 1.0458 2022/07/23 15:59:33 - mmengine - INFO - Epoch(train) [97][1060/3757] lr: 1.0000e-04 eta: 0:55:32 time: 0.2289 data_time: 0.0216 memory: 6108 grad_norm: 9.1064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8921 loss: 0.8921 2022/07/23 15:59:38 - mmengine - INFO - Epoch(train) [97][1080/3757] lr: 1.0000e-04 eta: 0:55:27 time: 0.2432 data_time: 0.0278 memory: 6108 grad_norm: 9.4210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/07/23 15:59:43 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 1.0000e-04 eta: 0:55:22 time: 0.2299 data_time: 0.0196 memory: 6108 grad_norm: 9.3126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0886 loss: 1.0886 2022/07/23 15:59:48 - mmengine - INFO - Epoch(train) [97][1120/3757] lr: 1.0000e-04 eta: 0:55:18 time: 0.2388 data_time: 0.0258 memory: 6108 grad_norm: 9.8921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1852 loss: 1.1852 2022/07/23 15:59:52 - mmengine - INFO - Epoch(train) [97][1140/3757] lr: 1.0000e-04 eta: 0:55:13 time: 0.2312 data_time: 0.0287 memory: 6108 grad_norm: 9.2980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1178 loss: 1.1178 2022/07/23 15:59:57 - mmengine - INFO - Epoch(train) [97][1160/3757] lr: 1.0000e-04 eta: 0:55:08 time: 0.2357 data_time: 0.0218 memory: 6108 grad_norm: 9.6891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3378 loss: 1.3378 2022/07/23 16:00:02 - mmengine - INFO - Epoch(train) [97][1180/3757] lr: 1.0000e-04 eta: 0:55:03 time: 0.2345 data_time: 0.0209 memory: 6108 grad_norm: 9.2992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9262 loss: 0.9262 2022/07/23 16:00:07 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 1.0000e-04 eta: 0:54:58 time: 0.2385 data_time: 0.0291 memory: 6108 grad_norm: 9.2070 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8593 loss: 0.8593 2022/07/23 16:00:11 - mmengine - INFO - Epoch(train) [97][1220/3757] lr: 1.0000e-04 eta: 0:54:54 time: 0.2332 data_time: 0.0231 memory: 6108 grad_norm: 9.2076 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2379 loss: 1.2379 2022/07/23 16:00:16 - mmengine - INFO - Epoch(train) [97][1240/3757] lr: 1.0000e-04 eta: 0:54:49 time: 0.2303 data_time: 0.0204 memory: 6108 grad_norm: 9.3958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0119 loss: 1.0119 2022/07/23 16:00:21 - mmengine - INFO - Epoch(train) [97][1260/3757] lr: 1.0000e-04 eta: 0:54:44 time: 0.2359 data_time: 0.0294 memory: 6108 grad_norm: 9.8272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/07/23 16:00:25 - mmengine - INFO - Epoch(train) [97][1280/3757] lr: 1.0000e-04 eta: 0:54:39 time: 0.2333 data_time: 0.0204 memory: 6108 grad_norm: 9.1871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0980 loss: 1.0980 2022/07/23 16:00:30 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 1.0000e-04 eta: 0:54:35 time: 0.2434 data_time: 0.0310 memory: 6108 grad_norm: 9.0944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/07/23 16:00:35 - mmengine - INFO - Epoch(train) [97][1320/3757] lr: 1.0000e-04 eta: 0:54:30 time: 0.2310 data_time: 0.0225 memory: 6108 grad_norm: 9.2225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/07/23 16:00:37 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:00:40 - mmengine - INFO - Epoch(train) [97][1340/3757] lr: 1.0000e-04 eta: 0:54:25 time: 0.2407 data_time: 0.0282 memory: 6108 grad_norm: 9.5892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/07/23 16:00:44 - mmengine - INFO - Epoch(train) [97][1360/3757] lr: 1.0000e-04 eta: 0:54:20 time: 0.2266 data_time: 0.0210 memory: 6108 grad_norm: 9.7612 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/07/23 16:00:49 - mmengine - INFO - Epoch(train) [97][1380/3757] lr: 1.0000e-04 eta: 0:54:15 time: 0.2418 data_time: 0.0248 memory: 6108 grad_norm: 9.1281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1284 loss: 1.1284 2022/07/23 16:00:54 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 1.0000e-04 eta: 0:54:11 time: 0.2314 data_time: 0.0251 memory: 6108 grad_norm: 9.2514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0755 loss: 1.0755 2022/07/23 16:00:59 - mmengine - INFO - Epoch(train) [97][1420/3757] lr: 1.0000e-04 eta: 0:54:06 time: 0.2452 data_time: 0.0223 memory: 6108 grad_norm: 9.5645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/07/23 16:01:03 - mmengine - INFO - Epoch(train) [97][1440/3757] lr: 1.0000e-04 eta: 0:54:01 time: 0.2249 data_time: 0.0211 memory: 6108 grad_norm: 9.3919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0045 loss: 1.0045 2022/07/23 16:01:08 - mmengine - INFO - Epoch(train) [97][1460/3757] lr: 1.0000e-04 eta: 0:53:56 time: 0.2376 data_time: 0.0217 memory: 6108 grad_norm: 9.5811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2021 loss: 1.2021 2022/07/23 16:01:13 - mmengine - INFO - Epoch(train) [97][1480/3757] lr: 1.0000e-04 eta: 0:53:52 time: 0.2270 data_time: 0.0217 memory: 6108 grad_norm: 9.4595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0474 loss: 1.0474 2022/07/23 16:01:17 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 1.0000e-04 eta: 0:53:47 time: 0.2347 data_time: 0.0300 memory: 6108 grad_norm: 9.6226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0946 loss: 1.0946 2022/07/23 16:01:22 - mmengine - INFO - Epoch(train) [97][1520/3757] lr: 1.0000e-04 eta: 0:53:42 time: 0.2325 data_time: 0.0224 memory: 6108 grad_norm: 9.6958 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0533 loss: 1.0533 2022/07/23 16:01:27 - mmengine - INFO - Epoch(train) [97][1540/3757] lr: 1.0000e-04 eta: 0:53:37 time: 0.2285 data_time: 0.0202 memory: 6108 grad_norm: 9.7802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8580 loss: 0.8580 2022/07/23 16:01:31 - mmengine - INFO - Epoch(train) [97][1560/3757] lr: 1.0000e-04 eta: 0:53:33 time: 0.2396 data_time: 0.0312 memory: 6108 grad_norm: 9.1607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/07/23 16:01:36 - mmengine - INFO - Epoch(train) [97][1580/3757] lr: 1.0000e-04 eta: 0:53:28 time: 0.2342 data_time: 0.0193 memory: 6108 grad_norm: 9.2875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0470 loss: 1.0470 2022/07/23 16:01:41 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 1.0000e-04 eta: 0:53:23 time: 0.2367 data_time: 0.0196 memory: 6108 grad_norm: 9.4499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/07/23 16:01:46 - mmengine - INFO - Epoch(train) [97][1620/3757] lr: 1.0000e-04 eta: 0:53:18 time: 0.2317 data_time: 0.0241 memory: 6108 grad_norm: 9.7067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1431 loss: 1.1431 2022/07/23 16:01:50 - mmengine - INFO - Epoch(train) [97][1640/3757] lr: 1.0000e-04 eta: 0:53:13 time: 0.2297 data_time: 0.0235 memory: 6108 grad_norm: 9.3849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2404 loss: 1.2404 2022/07/23 16:01:55 - mmengine - INFO - Epoch(train) [97][1660/3757] lr: 1.0000e-04 eta: 0:53:09 time: 0.2374 data_time: 0.0224 memory: 6108 grad_norm: 9.3372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0935 loss: 1.0935 2022/07/23 16:02:00 - mmengine - INFO - Epoch(train) [97][1680/3757] lr: 1.0000e-04 eta: 0:53:04 time: 0.2479 data_time: 0.0246 memory: 6108 grad_norm: 9.6243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0369 loss: 1.0369 2022/07/23 16:02:05 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 1.0000e-04 eta: 0:52:59 time: 0.2254 data_time: 0.0208 memory: 6108 grad_norm: 9.5644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9643 loss: 0.9643 2022/07/23 16:02:09 - mmengine - INFO - Epoch(train) [97][1720/3757] lr: 1.0000e-04 eta: 0:52:54 time: 0.2343 data_time: 0.0290 memory: 6108 grad_norm: 9.6707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3890 loss: 1.3890 2022/07/23 16:02:14 - mmengine - INFO - Epoch(train) [97][1740/3757] lr: 1.0000e-04 eta: 0:52:50 time: 0.2303 data_time: 0.0254 memory: 6108 grad_norm: 9.5639 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4194 loss: 1.4194 2022/07/23 16:02:19 - mmengine - INFO - Epoch(train) [97][1760/3757] lr: 1.0000e-04 eta: 0:52:45 time: 0.2494 data_time: 0.0227 memory: 6108 grad_norm: 9.2246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2949 loss: 1.2949 2022/07/23 16:02:24 - mmengine - INFO - Epoch(train) [97][1780/3757] lr: 1.0000e-04 eta: 0:52:40 time: 0.2324 data_time: 0.0196 memory: 6108 grad_norm: 9.9196 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/07/23 16:02:28 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 1.0000e-04 eta: 0:52:35 time: 0.2399 data_time: 0.0233 memory: 6108 grad_norm: 9.0845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/07/23 16:02:33 - mmengine - INFO - Epoch(train) [97][1820/3757] lr: 1.0000e-04 eta: 0:52:30 time: 0.2320 data_time: 0.0248 memory: 6108 grad_norm: 9.1482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/07/23 16:02:38 - mmengine - INFO - Epoch(train) [97][1840/3757] lr: 1.0000e-04 eta: 0:52:26 time: 0.2370 data_time: 0.0219 memory: 6108 grad_norm: 9.4316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0620 loss: 1.0620 2022/07/23 16:02:43 - mmengine - INFO - Epoch(train) [97][1860/3757] lr: 1.0000e-04 eta: 0:52:21 time: 0.2367 data_time: 0.0257 memory: 6108 grad_norm: 9.2464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3348 loss: 1.3348 2022/07/23 16:02:47 - mmengine - INFO - Epoch(train) [97][1880/3757] lr: 1.0000e-04 eta: 0:52:16 time: 0.2312 data_time: 0.0210 memory: 6108 grad_norm: 9.5431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/07/23 16:02:52 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 1.0000e-04 eta: 0:52:11 time: 0.2307 data_time: 0.0188 memory: 6108 grad_norm: 9.1962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9607 loss: 0.9607 2022/07/23 16:02:57 - mmengine - INFO - Epoch(train) [97][1920/3757] lr: 1.0000e-04 eta: 0:52:07 time: 0.2279 data_time: 0.0206 memory: 6108 grad_norm: 9.5434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1608 loss: 1.1608 2022/07/23 16:03:01 - mmengine - INFO - Epoch(train) [97][1940/3757] lr: 1.0000e-04 eta: 0:52:02 time: 0.2381 data_time: 0.0223 memory: 6108 grad_norm: 9.4291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/07/23 16:03:06 - mmengine - INFO - Epoch(train) [97][1960/3757] lr: 1.0000e-04 eta: 0:51:57 time: 0.2337 data_time: 0.0217 memory: 6108 grad_norm: 9.7188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0888 loss: 1.0888 2022/07/23 16:03:11 - mmengine - INFO - Epoch(train) [97][1980/3757] lr: 1.0000e-04 eta: 0:51:52 time: 0.2323 data_time: 0.0224 memory: 6108 grad_norm: 9.8995 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1036 loss: 1.1036 2022/07/23 16:03:15 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 1.0000e-04 eta: 0:51:47 time: 0.2358 data_time: 0.0262 memory: 6108 grad_norm: 8.9536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/07/23 16:03:20 - mmengine - INFO - Epoch(train) [97][2020/3757] lr: 1.0000e-04 eta: 0:51:43 time: 0.2330 data_time: 0.0208 memory: 6108 grad_norm: 9.4116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/07/23 16:03:25 - mmengine - INFO - Epoch(train) [97][2040/3757] lr: 1.0000e-04 eta: 0:51:38 time: 0.2382 data_time: 0.0273 memory: 6108 grad_norm: 9.5119 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/07/23 16:03:30 - mmengine - INFO - Epoch(train) [97][2060/3757] lr: 1.0000e-04 eta: 0:51:33 time: 0.2425 data_time: 0.0210 memory: 6108 grad_norm: 9.4881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/07/23 16:03:34 - mmengine - INFO - Epoch(train) [97][2080/3757] lr: 1.0000e-04 eta: 0:51:28 time: 0.2249 data_time: 0.0167 memory: 6108 grad_norm: 9.6685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0415 loss: 1.0415 2022/07/23 16:03:39 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 1.0000e-04 eta: 0:51:24 time: 0.2358 data_time: 0.0363 memory: 6108 grad_norm: 9.2164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1199 loss: 1.1199 2022/07/23 16:03:44 - mmengine - INFO - Epoch(train) [97][2120/3757] lr: 1.0000e-04 eta: 0:51:19 time: 0.2300 data_time: 0.0196 memory: 6108 grad_norm: 9.9375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3572 loss: 1.3572 2022/07/23 16:03:48 - mmengine - INFO - Epoch(train) [97][2140/3757] lr: 1.0000e-04 eta: 0:51:14 time: 0.2341 data_time: 0.0201 memory: 6108 grad_norm: 9.7169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1417 loss: 1.1417 2022/07/23 16:03:54 - mmengine - INFO - Epoch(train) [97][2160/3757] lr: 1.0000e-04 eta: 0:51:09 time: 0.2613 data_time: 0.0228 memory: 6108 grad_norm: 9.8016 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3241 loss: 1.3241 2022/07/23 16:03:59 - mmengine - INFO - Epoch(train) [97][2180/3757] lr: 1.0000e-04 eta: 0:51:05 time: 0.2408 data_time: 0.0194 memory: 6108 grad_norm: 9.7587 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2697 loss: 1.2697 2022/07/23 16:04:03 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 1.0000e-04 eta: 0:51:00 time: 0.2305 data_time: 0.0239 memory: 6108 grad_norm: 9.6458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1729 loss: 1.1729 2022/07/23 16:04:08 - mmengine - INFO - Epoch(train) [97][2220/3757] lr: 1.0000e-04 eta: 0:50:55 time: 0.2365 data_time: 0.0240 memory: 6108 grad_norm: 9.9872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2250 loss: 1.2250 2022/07/23 16:04:13 - mmengine - INFO - Epoch(train) [97][2240/3757] lr: 1.0000e-04 eta: 0:50:50 time: 0.2307 data_time: 0.0183 memory: 6108 grad_norm: 9.1839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1169 loss: 1.1169 2022/07/23 16:04:17 - mmengine - INFO - Epoch(train) [97][2260/3757] lr: 1.0000e-04 eta: 0:50:45 time: 0.2303 data_time: 0.0260 memory: 6108 grad_norm: 9.4248 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2971 loss: 1.2971 2022/07/23 16:04:22 - mmengine - INFO - Epoch(train) [97][2280/3757] lr: 1.0000e-04 eta: 0:50:41 time: 0.2260 data_time: 0.0177 memory: 6108 grad_norm: 9.6011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2116 loss: 1.2116 2022/07/23 16:04:27 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 1.0000e-04 eta: 0:50:36 time: 0.2386 data_time: 0.0329 memory: 6108 grad_norm: 9.4001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/07/23 16:04:31 - mmengine - INFO - Epoch(train) [97][2320/3757] lr: 1.0000e-04 eta: 0:50:31 time: 0.2357 data_time: 0.0236 memory: 6108 grad_norm: 9.1448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0698 loss: 1.0698 2022/07/23 16:04:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:04:36 - mmengine - INFO - Epoch(train) [97][2340/3757] lr: 1.0000e-04 eta: 0:50:26 time: 0.2319 data_time: 0.0198 memory: 6108 grad_norm: 9.5855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2001 loss: 1.2001 2022/07/23 16:04:41 - mmengine - INFO - Epoch(train) [97][2360/3757] lr: 1.0000e-04 eta: 0:50:22 time: 0.2286 data_time: 0.0237 memory: 6108 grad_norm: 9.3556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9909 loss: 0.9909 2022/07/23 16:04:45 - mmengine - INFO - Epoch(train) [97][2380/3757] lr: 1.0000e-04 eta: 0:50:17 time: 0.2370 data_time: 0.0250 memory: 6108 grad_norm: 9.3751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/07/23 16:04:50 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 1.0000e-04 eta: 0:50:12 time: 0.2331 data_time: 0.0243 memory: 6108 grad_norm: 9.5007 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2736 loss: 1.2736 2022/07/23 16:04:55 - mmengine - INFO - Epoch(train) [97][2420/3757] lr: 1.0000e-04 eta: 0:50:07 time: 0.2313 data_time: 0.0193 memory: 6108 grad_norm: 9.3713 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2607 loss: 1.2607 2022/07/23 16:05:00 - mmengine - INFO - Epoch(train) [97][2440/3757] lr: 1.0000e-04 eta: 0:50:02 time: 0.2435 data_time: 0.0271 memory: 6108 grad_norm: 9.2557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0038 loss: 1.0038 2022/07/23 16:05:04 - mmengine - INFO - Epoch(train) [97][2460/3757] lr: 1.0000e-04 eta: 0:49:58 time: 0.2341 data_time: 0.0191 memory: 6108 grad_norm: 9.6386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3590 loss: 1.3590 2022/07/23 16:05:10 - mmengine - INFO - Epoch(train) [97][2480/3757] lr: 1.0000e-04 eta: 0:49:53 time: 0.2527 data_time: 0.0171 memory: 6108 grad_norm: 9.4679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/07/23 16:05:14 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 1.0000e-04 eta: 0:49:48 time: 0.2315 data_time: 0.0228 memory: 6108 grad_norm: 9.5228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3123 loss: 1.3123 2022/07/23 16:05:19 - mmengine - INFO - Epoch(train) [97][2520/3757] lr: 1.0000e-04 eta: 0:49:43 time: 0.2367 data_time: 0.0176 memory: 6108 grad_norm: 9.6358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/07/23 16:05:24 - mmengine - INFO - Epoch(train) [97][2540/3757] lr: 1.0000e-04 eta: 0:49:39 time: 0.2385 data_time: 0.0297 memory: 6108 grad_norm: 9.1981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/07/23 16:05:28 - mmengine - INFO - Epoch(train) [97][2560/3757] lr: 1.0000e-04 eta: 0:49:34 time: 0.2327 data_time: 0.0250 memory: 6108 grad_norm: 9.1925 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0898 loss: 1.0898 2022/07/23 16:05:33 - mmengine - INFO - Epoch(train) [97][2580/3757] lr: 1.0000e-04 eta: 0:49:29 time: 0.2300 data_time: 0.0170 memory: 6108 grad_norm: 8.9458 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8585 loss: 0.8585 2022/07/23 16:05:38 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 1.0000e-04 eta: 0:49:24 time: 0.2317 data_time: 0.0216 memory: 6108 grad_norm: 9.4627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/07/23 16:05:43 - mmengine - INFO - Epoch(train) [97][2620/3757] lr: 1.0000e-04 eta: 0:49:20 time: 0.2454 data_time: 0.0253 memory: 6108 grad_norm: 9.3218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/07/23 16:05:47 - mmengine - INFO - Epoch(train) [97][2640/3757] lr: 1.0000e-04 eta: 0:49:15 time: 0.2314 data_time: 0.0207 memory: 6108 grad_norm: 9.1434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9057 loss: 0.9057 2022/07/23 16:05:52 - mmengine - INFO - Epoch(train) [97][2660/3757] lr: 1.0000e-04 eta: 0:49:10 time: 0.2411 data_time: 0.0243 memory: 6108 grad_norm: 9.4174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/07/23 16:05:57 - mmengine - INFO - Epoch(train) [97][2680/3757] lr: 1.0000e-04 eta: 0:49:05 time: 0.2346 data_time: 0.0272 memory: 6108 grad_norm: 9.4203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9163 loss: 0.9163 2022/07/23 16:06:02 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 1.0000e-04 eta: 0:49:00 time: 0.2490 data_time: 0.0221 memory: 6108 grad_norm: 9.5455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3516 loss: 1.3516 2022/07/23 16:06:07 - mmengine - INFO - Epoch(train) [97][2720/3757] lr: 1.0000e-04 eta: 0:48:56 time: 0.2335 data_time: 0.0230 memory: 6108 grad_norm: 9.4059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/07/23 16:06:11 - mmengine - INFO - Epoch(train) [97][2740/3757] lr: 1.0000e-04 eta: 0:48:51 time: 0.2362 data_time: 0.0309 memory: 6108 grad_norm: 9.8676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3253 loss: 1.3253 2022/07/23 16:06:16 - mmengine - INFO - Epoch(train) [97][2760/3757] lr: 1.0000e-04 eta: 0:48:46 time: 0.2297 data_time: 0.0202 memory: 6108 grad_norm: 9.5309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/07/23 16:06:21 - mmengine - INFO - Epoch(train) [97][2780/3757] lr: 1.0000e-04 eta: 0:48:41 time: 0.2474 data_time: 0.0233 memory: 6108 grad_norm: 9.3110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/07/23 16:06:26 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 1.0000e-04 eta: 0:48:37 time: 0.2314 data_time: 0.0229 memory: 6108 grad_norm: 9.2677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9994 loss: 0.9994 2022/07/23 16:06:30 - mmengine - INFO - Epoch(train) [97][2820/3757] lr: 1.0000e-04 eta: 0:48:32 time: 0.2386 data_time: 0.0258 memory: 6108 grad_norm: 9.3098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/07/23 16:06:35 - mmengine - INFO - Epoch(train) [97][2840/3757] lr: 1.0000e-04 eta: 0:48:27 time: 0.2359 data_time: 0.0222 memory: 6108 grad_norm: 9.4381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3188 loss: 1.3188 2022/07/23 16:06:40 - mmengine - INFO - Epoch(train) [97][2860/3757] lr: 1.0000e-04 eta: 0:48:22 time: 0.2338 data_time: 0.0243 memory: 6108 grad_norm: 9.0370 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9058 loss: 0.9058 2022/07/23 16:06:45 - mmengine - INFO - Epoch(train) [97][2880/3757] lr: 1.0000e-04 eta: 0:48:17 time: 0.2311 data_time: 0.0238 memory: 6108 grad_norm: 8.9834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0399 loss: 1.0399 2022/07/23 16:06:49 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 1.0000e-04 eta: 0:48:13 time: 0.2306 data_time: 0.0235 memory: 6108 grad_norm: 9.5159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2025 loss: 1.2025 2022/07/23 16:06:54 - mmengine - INFO - Epoch(train) [97][2920/3757] lr: 1.0000e-04 eta: 0:48:08 time: 0.2346 data_time: 0.0232 memory: 6108 grad_norm: 9.4151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4064 loss: 1.4064 2022/07/23 16:06:59 - mmengine - INFO - Epoch(train) [97][2940/3757] lr: 1.0000e-04 eta: 0:48:03 time: 0.2380 data_time: 0.0182 memory: 6108 grad_norm: 9.0461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2176 loss: 1.2176 2022/07/23 16:07:03 - mmengine - INFO - Epoch(train) [97][2960/3757] lr: 1.0000e-04 eta: 0:47:58 time: 0.2341 data_time: 0.0217 memory: 6108 grad_norm: 9.6397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0415 loss: 1.0415 2022/07/23 16:07:08 - mmengine - INFO - Epoch(train) [97][2980/3757] lr: 1.0000e-04 eta: 0:47:54 time: 0.2344 data_time: 0.0283 memory: 6108 grad_norm: 9.3862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/07/23 16:07:13 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 1.0000e-04 eta: 0:47:49 time: 0.2306 data_time: 0.0262 memory: 6108 grad_norm: 9.8059 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1079 loss: 1.1079 2022/07/23 16:07:18 - mmengine - INFO - Epoch(train) [97][3020/3757] lr: 1.0000e-04 eta: 0:47:44 time: 0.2321 data_time: 0.0276 memory: 6108 grad_norm: 9.2462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0195 loss: 1.0195 2022/07/23 16:07:22 - mmengine - INFO - Epoch(train) [97][3040/3757] lr: 1.0000e-04 eta: 0:47:39 time: 0.2407 data_time: 0.0326 memory: 6108 grad_norm: 9.5435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/07/23 16:07:27 - mmengine - INFO - Epoch(train) [97][3060/3757] lr: 1.0000e-04 eta: 0:47:34 time: 0.2318 data_time: 0.0213 memory: 6108 grad_norm: 9.6448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1430 loss: 1.1430 2022/07/23 16:07:32 - mmengine - INFO - Epoch(train) [97][3080/3757] lr: 1.0000e-04 eta: 0:47:30 time: 0.2319 data_time: 0.0219 memory: 6108 grad_norm: 9.1867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/07/23 16:07:36 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 1.0000e-04 eta: 0:47:25 time: 0.2327 data_time: 0.0267 memory: 6108 grad_norm: 9.3212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0844 loss: 1.0844 2022/07/23 16:07:41 - mmengine - INFO - Epoch(train) [97][3120/3757] lr: 1.0000e-04 eta: 0:47:20 time: 0.2368 data_time: 0.0192 memory: 6108 grad_norm: 9.4009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1934 loss: 1.1934 2022/07/23 16:07:46 - mmengine - INFO - Epoch(train) [97][3140/3757] lr: 1.0000e-04 eta: 0:47:15 time: 0.2361 data_time: 0.0268 memory: 6108 grad_norm: 9.4693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9213 loss: 0.9213 2022/07/23 16:07:51 - mmengine - INFO - Epoch(train) [97][3160/3757] lr: 1.0000e-04 eta: 0:47:11 time: 0.2338 data_time: 0.0229 memory: 6108 grad_norm: 9.6737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/07/23 16:07:55 - mmengine - INFO - Epoch(train) [97][3180/3757] lr: 1.0000e-04 eta: 0:47:06 time: 0.2334 data_time: 0.0230 memory: 6108 grad_norm: 9.5135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1724 loss: 1.1724 2022/07/23 16:08:00 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 1.0000e-04 eta: 0:47:01 time: 0.2389 data_time: 0.0252 memory: 6108 grad_norm: 9.4638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4775 loss: 1.4775 2022/07/23 16:08:05 - mmengine - INFO - Epoch(train) [97][3220/3757] lr: 1.0000e-04 eta: 0:46:56 time: 0.2324 data_time: 0.0231 memory: 6108 grad_norm: 9.3210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/07/23 16:08:09 - mmengine - INFO - Epoch(train) [97][3240/3757] lr: 1.0000e-04 eta: 0:46:52 time: 0.2319 data_time: 0.0281 memory: 6108 grad_norm: 9.3394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/23 16:08:14 - mmengine - INFO - Epoch(train) [97][3260/3757] lr: 1.0000e-04 eta: 0:46:47 time: 0.2330 data_time: 0.0286 memory: 6108 grad_norm: 9.3704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9689 loss: 0.9689 2022/07/23 16:08:19 - mmengine - INFO - Epoch(train) [97][3280/3757] lr: 1.0000e-04 eta: 0:46:42 time: 0.2370 data_time: 0.0239 memory: 6108 grad_norm: 9.5082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0844 loss: 1.0844 2022/07/23 16:08:24 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 1.0000e-04 eta: 0:46:37 time: 0.2403 data_time: 0.0203 memory: 6108 grad_norm: 9.5939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/07/23 16:08:28 - mmengine - INFO - Epoch(train) [97][3320/3757] lr: 1.0000e-04 eta: 0:46:32 time: 0.2328 data_time: 0.0216 memory: 6108 grad_norm: 9.3725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/07/23 16:08:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:08:33 - mmengine - INFO - Epoch(train) [97][3340/3757] lr: 1.0000e-04 eta: 0:46:28 time: 0.2300 data_time: 0.0218 memory: 6108 grad_norm: 9.6678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2793 loss: 1.2793 2022/07/23 16:08:38 - mmengine - INFO - Epoch(train) [97][3360/3757] lr: 1.0000e-04 eta: 0:46:23 time: 0.2320 data_time: 0.0225 memory: 6108 grad_norm: 9.6987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1651 loss: 1.1651 2022/07/23 16:08:43 - mmengine - INFO - Epoch(train) [97][3380/3757] lr: 1.0000e-04 eta: 0:46:18 time: 0.2402 data_time: 0.0185 memory: 6108 grad_norm: 9.5197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1579 loss: 1.1579 2022/07/23 16:08:47 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 1.0000e-04 eta: 0:46:13 time: 0.2306 data_time: 0.0268 memory: 6108 grad_norm: 9.4811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4653 loss: 1.4653 2022/07/23 16:08:52 - mmengine - INFO - Epoch(train) [97][3420/3757] lr: 1.0000e-04 eta: 0:46:09 time: 0.2296 data_time: 0.0198 memory: 6108 grad_norm: 9.6833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1201 loss: 1.1201 2022/07/23 16:08:57 - mmengine - INFO - Epoch(train) [97][3440/3757] lr: 1.0000e-04 eta: 0:46:04 time: 0.2336 data_time: 0.0243 memory: 6108 grad_norm: 9.5091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1080 loss: 1.1080 2022/07/23 16:09:02 - mmengine - INFO - Epoch(train) [97][3460/3757] lr: 1.0000e-04 eta: 0:45:59 time: 0.2443 data_time: 0.0285 memory: 6108 grad_norm: 9.5191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1829 loss: 1.1829 2022/07/23 16:09:06 - mmengine - INFO - Epoch(train) [97][3480/3757] lr: 1.0000e-04 eta: 0:45:54 time: 0.2297 data_time: 0.0232 memory: 6108 grad_norm: 9.8674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8629 loss: 0.8629 2022/07/23 16:09:11 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 1.0000e-04 eta: 0:45:49 time: 0.2304 data_time: 0.0279 memory: 6108 grad_norm: 9.5876 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3733 loss: 1.3733 2022/07/23 16:09:16 - mmengine - INFO - Epoch(train) [97][3520/3757] lr: 1.0000e-04 eta: 0:45:45 time: 0.2343 data_time: 0.0230 memory: 6108 grad_norm: 9.6379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2192 loss: 1.2192 2022/07/23 16:09:20 - mmengine - INFO - Epoch(train) [97][3540/3757] lr: 1.0000e-04 eta: 0:45:40 time: 0.2390 data_time: 0.0185 memory: 6108 grad_norm: 9.0506 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1885 loss: 1.1885 2022/07/23 16:09:25 - mmengine - INFO - Epoch(train) [97][3560/3757] lr: 1.0000e-04 eta: 0:45:35 time: 0.2322 data_time: 0.0244 memory: 6108 grad_norm: 9.0731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/07/23 16:09:30 - mmengine - INFO - Epoch(train) [97][3580/3757] lr: 1.0000e-04 eta: 0:45:30 time: 0.2497 data_time: 0.0245 memory: 6108 grad_norm: 9.4788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/07/23 16:09:35 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 1.0000e-04 eta: 0:45:26 time: 0.2285 data_time: 0.0205 memory: 6108 grad_norm: 9.3249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1981 loss: 1.1981 2022/07/23 16:09:39 - mmengine - INFO - Epoch(train) [97][3620/3757] lr: 1.0000e-04 eta: 0:45:21 time: 0.2399 data_time: 0.0227 memory: 6108 grad_norm: 9.5750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9471 loss: 0.9471 2022/07/23 16:09:44 - mmengine - INFO - Epoch(train) [97][3640/3757] lr: 1.0000e-04 eta: 0:45:16 time: 0.2297 data_time: 0.0237 memory: 6108 grad_norm: 9.7188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2258 loss: 1.2258 2022/07/23 16:09:49 - mmengine - INFO - Epoch(train) [97][3660/3757] lr: 1.0000e-04 eta: 0:45:11 time: 0.2380 data_time: 0.0183 memory: 6108 grad_norm: 9.5860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0871 loss: 1.0871 2022/07/23 16:09:54 - mmengine - INFO - Epoch(train) [97][3680/3757] lr: 1.0000e-04 eta: 0:45:07 time: 0.2343 data_time: 0.0307 memory: 6108 grad_norm: 9.4114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/07/23 16:09:58 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 1.0000e-04 eta: 0:45:02 time: 0.2329 data_time: 0.0285 memory: 6108 grad_norm: 9.3237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9002 loss: 0.9002 2022/07/23 16:10:03 - mmengine - INFO - Epoch(train) [97][3720/3757] lr: 1.0000e-04 eta: 0:44:57 time: 0.2385 data_time: 0.0249 memory: 6108 grad_norm: 9.3444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/07/23 16:10:08 - mmengine - INFO - Epoch(train) [97][3740/3757] lr: 1.0000e-04 eta: 0:44:52 time: 0.2326 data_time: 0.0268 memory: 6108 grad_norm: 9.2201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1065 loss: 1.1065 2022/07/23 16:10:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:10:11 - mmengine - INFO - Epoch(train) [97][3757/3757] lr: 1.0000e-04 eta: 0:44:52 time: 0.1998 data_time: 0.0178 memory: 6108 grad_norm: 9.4629 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.2770 loss: 1.2770 2022/07/23 16:10:17 - mmengine - INFO - Epoch(val) [97][20/310] eta: 0:01:19 time: 0.2727 data_time: 0.1938 memory: 1428 2022/07/23 16:10:20 - mmengine - INFO - Epoch(val) [97][40/310] eta: 0:00:51 time: 0.1895 data_time: 0.1040 memory: 1428 2022/07/23 16:10:25 - mmengine - INFO - Epoch(val) [97][60/310] eta: 0:00:55 time: 0.2209 data_time: 0.1457 memory: 1428 2022/07/23 16:10:29 - mmengine - INFO - Epoch(val) [97][80/310] eta: 0:00:48 time: 0.2092 data_time: 0.1332 memory: 1428 2022/07/23 16:10:33 - mmengine - INFO - Epoch(val) [97][100/310] eta: 0:00:44 time: 0.2126 data_time: 0.1366 memory: 1428 2022/07/23 16:10:37 - mmengine - INFO - Epoch(val) [97][120/310] eta: 0:00:40 time: 0.2114 data_time: 0.1364 memory: 1428 2022/07/23 16:10:42 - mmengine - INFO - Epoch(val) [97][140/310] eta: 0:00:37 time: 0.2201 data_time: 0.1422 memory: 1428 2022/07/23 16:10:46 - mmengine - INFO - Epoch(val) [97][160/310] eta: 0:00:34 time: 0.2301 data_time: 0.1519 memory: 1428 2022/07/23 16:10:51 - mmengine - INFO - Epoch(val) [97][180/310] eta: 0:00:26 time: 0.2018 data_time: 0.1268 memory: 1428 2022/07/23 16:10:55 - mmengine - INFO - Epoch(val) [97][200/310] eta: 0:00:22 time: 0.2087 data_time: 0.1317 memory: 1428 2022/07/23 16:10:59 - mmengine - INFO - Epoch(val) [97][220/310] eta: 0:00:18 time: 0.2103 data_time: 0.1346 memory: 1428 2022/07/23 16:11:03 - mmengine - INFO - Epoch(val) [97][240/310] eta: 0:00:14 time: 0.2036 data_time: 0.1277 memory: 1428 2022/07/23 16:11:08 - mmengine - INFO - Epoch(val) [97][260/310] eta: 0:00:11 time: 0.2249 data_time: 0.1476 memory: 1428 2022/07/23 16:11:12 - mmengine - INFO - Epoch(val) [97][280/310] eta: 0:00:06 time: 0.2020 data_time: 0.1253 memory: 1428 2022/07/23 16:11:15 - mmengine - INFO - Epoch(val) [97][300/310] eta: 0:00:01 time: 0.1925 data_time: 0.1154 memory: 1428 2022/07/23 16:11:19 - mmengine - INFO - Epoch(val) [97][310/310] acc/top1: 0.6660 acc/top5: 0.8654 acc/mean1: 0.6659 2022/07/23 16:11:26 - mmengine - INFO - Epoch(train) [98][20/3757] lr: 1.0000e-04 eta: 0:44:43 time: 0.3398 data_time: 0.1214 memory: 6108 grad_norm: 9.1178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0112 loss: 1.0112 2022/07/23 16:11:31 - mmengine - INFO - Epoch(train) [98][40/3757] lr: 1.0000e-04 eta: 0:44:39 time: 0.2353 data_time: 0.0178 memory: 6108 grad_norm: 9.4780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/07/23 16:11:36 - mmengine - INFO - Epoch(train) [98][60/3757] lr: 1.0000e-04 eta: 0:44:34 time: 0.2384 data_time: 0.0258 memory: 6108 grad_norm: 9.6901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7196 loss: 0.7196 2022/07/23 16:11:41 - mmengine - INFO - Epoch(train) [98][80/3757] lr: 1.0000e-04 eta: 0:44:29 time: 0.2386 data_time: 0.0235 memory: 6108 grad_norm: 9.6039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/07/23 16:11:45 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 1.0000e-04 eta: 0:44:24 time: 0.2340 data_time: 0.0211 memory: 6108 grad_norm: 8.9688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9572 loss: 0.9572 2022/07/23 16:11:50 - mmengine - INFO - Epoch(train) [98][120/3757] lr: 1.0000e-04 eta: 0:44:19 time: 0.2312 data_time: 0.0265 memory: 6108 grad_norm: 9.0672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0102 loss: 1.0102 2022/07/23 16:11:55 - mmengine - INFO - Epoch(train) [98][140/3757] lr: 1.0000e-04 eta: 0:44:15 time: 0.2310 data_time: 0.0199 memory: 6108 grad_norm: 9.0656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9291 loss: 0.9291 2022/07/23 16:11:59 - mmengine - INFO - Epoch(train) [98][160/3757] lr: 1.0000e-04 eta: 0:44:10 time: 0.2361 data_time: 0.0219 memory: 6108 grad_norm: 9.2152 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/07/23 16:12:04 - mmengine - INFO - Epoch(train) [98][180/3757] lr: 1.0000e-04 eta: 0:44:05 time: 0.2303 data_time: 0.0244 memory: 6108 grad_norm: 9.3296 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3004 loss: 1.3004 2022/07/23 16:12:09 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 1.0000e-04 eta: 0:44:00 time: 0.2309 data_time: 0.0239 memory: 6108 grad_norm: 9.2691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/07/23 16:12:13 - mmengine - INFO - Epoch(train) [98][220/3757] lr: 1.0000e-04 eta: 0:43:56 time: 0.2319 data_time: 0.0262 memory: 6108 grad_norm: 9.7131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0530 loss: 1.0530 2022/07/23 16:12:18 - mmengine - INFO - Epoch(train) [98][240/3757] lr: 1.0000e-04 eta: 0:43:51 time: 0.2303 data_time: 0.0242 memory: 6108 grad_norm: 9.7321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3967 loss: 1.3967 2022/07/23 16:12:23 - mmengine - INFO - Epoch(train) [98][260/3757] lr: 1.0000e-04 eta: 0:43:46 time: 0.2399 data_time: 0.0211 memory: 6108 grad_norm: 9.1710 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1882 loss: 1.1882 2022/07/23 16:12:28 - mmengine - INFO - Epoch(train) [98][280/3757] lr: 1.0000e-04 eta: 0:43:41 time: 0.2377 data_time: 0.0319 memory: 6108 grad_norm: 9.4488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9764 loss: 0.9764 2022/07/23 16:12:32 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 1.0000e-04 eta: 0:43:36 time: 0.2341 data_time: 0.0233 memory: 6108 grad_norm: 9.6313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/07/23 16:12:37 - mmengine - INFO - Epoch(train) [98][320/3757] lr: 1.0000e-04 eta: 0:43:32 time: 0.2302 data_time: 0.0212 memory: 6108 grad_norm: 9.5132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/07/23 16:12:42 - mmengine - INFO - Epoch(train) [98][340/3757] lr: 1.0000e-04 eta: 0:43:27 time: 0.2399 data_time: 0.0186 memory: 6108 grad_norm: 9.4652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1115 loss: 1.1115 2022/07/23 16:12:47 - mmengine - INFO - Epoch(train) [98][360/3757] lr: 1.0000e-04 eta: 0:43:22 time: 0.2358 data_time: 0.0215 memory: 6108 grad_norm: 9.2743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/07/23 16:12:51 - mmengine - INFO - Epoch(train) [98][380/3757] lr: 1.0000e-04 eta: 0:43:17 time: 0.2340 data_time: 0.0246 memory: 6108 grad_norm: 9.4039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/23 16:12:56 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 1.0000e-04 eta: 0:43:13 time: 0.2308 data_time: 0.0193 memory: 6108 grad_norm: 9.6228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/07/23 16:13:01 - mmengine - INFO - Epoch(train) [98][420/3757] lr: 1.0000e-04 eta: 0:43:08 time: 0.2415 data_time: 0.0224 memory: 6108 grad_norm: 9.3594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0382 loss: 1.0382 2022/07/23 16:13:06 - mmengine - INFO - Epoch(train) [98][440/3757] lr: 1.0000e-04 eta: 0:43:03 time: 0.2344 data_time: 0.0231 memory: 6108 grad_norm: 9.2634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9987 loss: 0.9987 2022/07/23 16:13:10 - mmengine - INFO - Epoch(train) [98][460/3757] lr: 1.0000e-04 eta: 0:42:58 time: 0.2330 data_time: 0.0198 memory: 6108 grad_norm: 9.4040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/07/23 16:13:15 - mmengine - INFO - Epoch(train) [98][480/3757] lr: 1.0000e-04 eta: 0:42:54 time: 0.2353 data_time: 0.0283 memory: 6108 grad_norm: 9.6004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8397 loss: 0.8397 2022/07/23 16:13:20 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 1.0000e-04 eta: 0:42:49 time: 0.2331 data_time: 0.0184 memory: 6108 grad_norm: 9.5623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/07/23 16:13:24 - mmengine - INFO - Epoch(train) [98][520/3757] lr: 1.0000e-04 eta: 0:42:44 time: 0.2291 data_time: 0.0214 memory: 6108 grad_norm: 9.7824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1171 loss: 1.1171 2022/07/23 16:13:29 - mmengine - INFO - Epoch(train) [98][540/3757] lr: 1.0000e-04 eta: 0:42:39 time: 0.2313 data_time: 0.0262 memory: 6108 grad_norm: 9.1187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1184 loss: 1.1184 2022/07/23 16:13:34 - mmengine - INFO - Epoch(train) [98][560/3757] lr: 1.0000e-04 eta: 0:42:34 time: 0.2364 data_time: 0.0260 memory: 6108 grad_norm: 9.2446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7834 loss: 0.7834 2022/07/23 16:13:36 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:13:38 - mmengine - INFO - Epoch(train) [98][580/3757] lr: 1.0000e-04 eta: 0:42:30 time: 0.2296 data_time: 0.0248 memory: 6108 grad_norm: 9.7655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0897 loss: 1.0897 2022/07/23 16:13:43 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 1.0000e-04 eta: 0:42:25 time: 0.2397 data_time: 0.0294 memory: 6108 grad_norm: 9.3686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1089 loss: 1.1089 2022/07/23 16:13:48 - mmengine - INFO - Epoch(train) [98][620/3757] lr: 1.0000e-04 eta: 0:42:20 time: 0.2323 data_time: 0.0181 memory: 6108 grad_norm: 9.2767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/07/23 16:13:52 - mmengine - INFO - Epoch(train) [98][640/3757] lr: 1.0000e-04 eta: 0:42:15 time: 0.2312 data_time: 0.0232 memory: 6108 grad_norm: 9.2832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1489 loss: 1.1489 2022/07/23 16:13:57 - mmengine - INFO - Epoch(train) [98][660/3757] lr: 1.0000e-04 eta: 0:42:11 time: 0.2298 data_time: 0.0243 memory: 6108 grad_norm: 9.2089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0345 loss: 1.0345 2022/07/23 16:14:02 - mmengine - INFO - Epoch(train) [98][680/3757] lr: 1.0000e-04 eta: 0:42:06 time: 0.2368 data_time: 0.0255 memory: 6108 grad_norm: 9.1972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/07/23 16:14:07 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 1.0000e-04 eta: 0:42:01 time: 0.2326 data_time: 0.0259 memory: 6108 grad_norm: 9.4661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/07/23 16:14:11 - mmengine - INFO - Epoch(train) [98][720/3757] lr: 1.0000e-04 eta: 0:41:56 time: 0.2330 data_time: 0.0219 memory: 6108 grad_norm: 9.4624 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1543 loss: 1.1543 2022/07/23 16:14:16 - mmengine - INFO - Epoch(train) [98][740/3757] lr: 1.0000e-04 eta: 0:41:51 time: 0.2337 data_time: 0.0217 memory: 6108 grad_norm: 9.7448 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0090 loss: 1.0090 2022/07/23 16:14:21 - mmengine - INFO - Epoch(train) [98][760/3757] lr: 1.0000e-04 eta: 0:41:47 time: 0.2410 data_time: 0.0321 memory: 6108 grad_norm: 9.6726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2362 loss: 1.2362 2022/07/23 16:14:26 - mmengine - INFO - Epoch(train) [98][780/3757] lr: 1.0000e-04 eta: 0:41:42 time: 0.2484 data_time: 0.0210 memory: 6108 grad_norm: 9.4293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0431 loss: 1.0431 2022/07/23 16:14:30 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 1.0000e-04 eta: 0:41:37 time: 0.2296 data_time: 0.0166 memory: 6108 grad_norm: 9.5281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0113 loss: 1.0113 2022/07/23 16:14:35 - mmengine - INFO - Epoch(train) [98][820/3757] lr: 1.0000e-04 eta: 0:41:32 time: 0.2318 data_time: 0.0236 memory: 6108 grad_norm: 8.9948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/07/23 16:14:40 - mmengine - INFO - Epoch(train) [98][840/3757] lr: 1.0000e-04 eta: 0:41:28 time: 0.2348 data_time: 0.0245 memory: 6108 grad_norm: 9.2744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8852 loss: 0.8852 2022/07/23 16:14:44 - mmengine - INFO - Epoch(train) [98][860/3757] lr: 1.0000e-04 eta: 0:41:23 time: 0.2304 data_time: 0.0244 memory: 6108 grad_norm: 8.9583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8764 loss: 0.8764 2022/07/23 16:14:49 - mmengine - INFO - Epoch(train) [98][880/3757] lr: 1.0000e-04 eta: 0:41:18 time: 0.2271 data_time: 0.0192 memory: 6108 grad_norm: 9.2388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0819 loss: 1.0819 2022/07/23 16:14:54 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 1.0000e-04 eta: 0:41:13 time: 0.2323 data_time: 0.0223 memory: 6108 grad_norm: 9.8162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/07/23 16:14:58 - mmengine - INFO - Epoch(train) [98][920/3757] lr: 1.0000e-04 eta: 0:41:09 time: 0.2323 data_time: 0.0213 memory: 6108 grad_norm: 9.4946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/07/23 16:15:03 - mmengine - INFO - Epoch(train) [98][940/3757] lr: 1.0000e-04 eta: 0:41:04 time: 0.2392 data_time: 0.0189 memory: 6108 grad_norm: 9.6899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9628 loss: 0.9628 2022/07/23 16:15:08 - mmengine - INFO - Epoch(train) [98][960/3757] lr: 1.0000e-04 eta: 0:40:59 time: 0.2323 data_time: 0.0261 memory: 6108 grad_norm: 9.5549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/07/23 16:15:12 - mmengine - INFO - Epoch(train) [98][980/3757] lr: 1.0000e-04 eta: 0:40:54 time: 0.2270 data_time: 0.0215 memory: 6108 grad_norm: 9.6809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0873 loss: 1.0873 2022/07/23 16:15:17 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 1.0000e-04 eta: 0:40:49 time: 0.2340 data_time: 0.0217 memory: 6108 grad_norm: 9.2023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9901 loss: 0.9901 2022/07/23 16:15:22 - mmengine - INFO - Epoch(train) [98][1020/3757] lr: 1.0000e-04 eta: 0:40:45 time: 0.2342 data_time: 0.0246 memory: 6108 grad_norm: 8.9337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2149 loss: 1.2149 2022/07/23 16:15:27 - mmengine - INFO - Epoch(train) [98][1040/3757] lr: 1.0000e-04 eta: 0:40:40 time: 0.2295 data_time: 0.0258 memory: 6108 grad_norm: 9.4393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/07/23 16:15:31 - mmengine - INFO - Epoch(train) [98][1060/3757] lr: 1.0000e-04 eta: 0:40:35 time: 0.2298 data_time: 0.0223 memory: 6108 grad_norm: 9.4801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/07/23 16:15:36 - mmengine - INFO - Epoch(train) [98][1080/3757] lr: 1.0000e-04 eta: 0:40:30 time: 0.2321 data_time: 0.0221 memory: 6108 grad_norm: 9.6640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/07/23 16:15:41 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 1.0000e-04 eta: 0:40:26 time: 0.2544 data_time: 0.0196 memory: 6108 grad_norm: 9.2856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3302 loss: 1.3302 2022/07/23 16:15:46 - mmengine - INFO - Epoch(train) [98][1120/3757] lr: 1.0000e-04 eta: 0:40:21 time: 0.2299 data_time: 0.0186 memory: 6108 grad_norm: 9.4405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0392 loss: 1.0392 2022/07/23 16:15:51 - mmengine - INFO - Epoch(train) [98][1140/3757] lr: 1.0000e-04 eta: 0:40:16 time: 0.2447 data_time: 0.0212 memory: 6108 grad_norm: 9.7603 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2148 loss: 1.2148 2022/07/23 16:15:55 - mmengine - INFO - Epoch(train) [98][1160/3757] lr: 1.0000e-04 eta: 0:40:11 time: 0.2360 data_time: 0.0215 memory: 6108 grad_norm: 9.4580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2088 loss: 1.2088 2022/07/23 16:16:00 - mmengine - INFO - Epoch(train) [98][1180/3757] lr: 1.0000e-04 eta: 0:40:06 time: 0.2315 data_time: 0.0202 memory: 6108 grad_norm: 9.6159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/07/23 16:16:05 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 1.0000e-04 eta: 0:40:02 time: 0.2331 data_time: 0.0222 memory: 6108 grad_norm: 9.2125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9750 loss: 0.9750 2022/07/23 16:16:09 - mmengine - INFO - Epoch(train) [98][1220/3757] lr: 1.0000e-04 eta: 0:39:57 time: 0.2298 data_time: 0.0201 memory: 6108 grad_norm: 9.2347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8303 loss: 0.8303 2022/07/23 16:16:14 - mmengine - INFO - Epoch(train) [98][1240/3757] lr: 1.0000e-04 eta: 0:39:52 time: 0.2353 data_time: 0.0239 memory: 6108 grad_norm: 9.4862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0787 loss: 1.0787 2022/07/23 16:16:19 - mmengine - INFO - Epoch(train) [98][1260/3757] lr: 1.0000e-04 eta: 0:39:47 time: 0.2285 data_time: 0.0266 memory: 6108 grad_norm: 9.3334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0431 loss: 1.0431 2022/07/23 16:16:23 - mmengine - INFO - Epoch(train) [98][1280/3757] lr: 1.0000e-04 eta: 0:39:43 time: 0.2355 data_time: 0.0222 memory: 6108 grad_norm: 9.7839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2340 loss: 1.2340 2022/07/23 16:16:28 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 1.0000e-04 eta: 0:39:38 time: 0.2342 data_time: 0.0242 memory: 6108 grad_norm: 9.0359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2231 loss: 1.2231 2022/07/23 16:16:33 - mmengine - INFO - Epoch(train) [98][1320/3757] lr: 1.0000e-04 eta: 0:39:33 time: 0.2346 data_time: 0.0212 memory: 6108 grad_norm: 9.5781 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1225 loss: 1.1225 2022/07/23 16:16:37 - mmengine - INFO - Epoch(train) [98][1340/3757] lr: 1.0000e-04 eta: 0:39:28 time: 0.2292 data_time: 0.0247 memory: 6108 grad_norm: 9.4345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1454 loss: 1.1454 2022/07/23 16:16:42 - mmengine - INFO - Epoch(train) [98][1360/3757] lr: 1.0000e-04 eta: 0:39:24 time: 0.2291 data_time: 0.0256 memory: 6108 grad_norm: 9.7071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/07/23 16:16:47 - mmengine - INFO - Epoch(train) [98][1380/3757] lr: 1.0000e-04 eta: 0:39:19 time: 0.2324 data_time: 0.0248 memory: 6108 grad_norm: 9.4144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1379 loss: 1.1379 2022/07/23 16:16:52 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 1.0000e-04 eta: 0:39:14 time: 0.2433 data_time: 0.0218 memory: 6108 grad_norm: 9.6576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/07/23 16:16:56 - mmengine - INFO - Epoch(train) [98][1420/3757] lr: 1.0000e-04 eta: 0:39:09 time: 0.2401 data_time: 0.0180 memory: 6108 grad_norm: 9.3468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0611 loss: 1.0611 2022/07/23 16:17:01 - mmengine - INFO - Epoch(train) [98][1440/3757] lr: 1.0000e-04 eta: 0:39:04 time: 0.2318 data_time: 0.0315 memory: 6108 grad_norm: 9.3762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1880 loss: 1.1880 2022/07/23 16:17:06 - mmengine - INFO - Epoch(train) [98][1460/3757] lr: 1.0000e-04 eta: 0:39:00 time: 0.2452 data_time: 0.0185 memory: 6108 grad_norm: 9.3965 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/07/23 16:17:11 - mmengine - INFO - Epoch(train) [98][1480/3757] lr: 1.0000e-04 eta: 0:38:55 time: 0.2353 data_time: 0.0230 memory: 6108 grad_norm: 9.0398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1889 loss: 1.1889 2022/07/23 16:17:15 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 1.0000e-04 eta: 0:38:50 time: 0.2325 data_time: 0.0273 memory: 6108 grad_norm: 9.2011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8680 loss: 0.8680 2022/07/23 16:17:21 - mmengine - INFO - Epoch(train) [98][1520/3757] lr: 1.0000e-04 eta: 0:38:45 time: 0.2756 data_time: 0.0203 memory: 6108 grad_norm: 9.3648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2088 loss: 1.2088 2022/07/23 16:17:26 - mmengine - INFO - Epoch(train) [98][1540/3757] lr: 1.0000e-04 eta: 0:38:41 time: 0.2343 data_time: 0.0258 memory: 6108 grad_norm: 9.3155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/07/23 16:17:31 - mmengine - INFO - Epoch(train) [98][1560/3757] lr: 1.0000e-04 eta: 0:38:36 time: 0.2382 data_time: 0.0275 memory: 6108 grad_norm: 9.4759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1994 loss: 1.1994 2022/07/23 16:17:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:17:35 - mmengine - INFO - Epoch(train) [98][1580/3757] lr: 1.0000e-04 eta: 0:38:31 time: 0.2303 data_time: 0.0200 memory: 6108 grad_norm: 9.1951 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0451 loss: 1.0451 2022/07/23 16:17:40 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 1.0000e-04 eta: 0:38:26 time: 0.2333 data_time: 0.0277 memory: 6108 grad_norm: 9.2143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/07/23 16:17:45 - mmengine - INFO - Epoch(train) [98][1620/3757] lr: 1.0000e-04 eta: 0:38:21 time: 0.2374 data_time: 0.0232 memory: 6108 grad_norm: 9.8155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3597 loss: 1.3597 2022/07/23 16:17:49 - mmengine - INFO - Epoch(train) [98][1640/3757] lr: 1.0000e-04 eta: 0:38:17 time: 0.2398 data_time: 0.0180 memory: 6108 grad_norm: 9.2304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/07/23 16:17:54 - mmengine - INFO - Epoch(train) [98][1660/3757] lr: 1.0000e-04 eta: 0:38:12 time: 0.2277 data_time: 0.0281 memory: 6108 grad_norm: 9.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2071 loss: 1.2071 2022/07/23 16:17:59 - mmengine - INFO - Epoch(train) [98][1680/3757] lr: 1.0000e-04 eta: 0:38:07 time: 0.2341 data_time: 0.0192 memory: 6108 grad_norm: 9.4062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8544 loss: 0.8544 2022/07/23 16:18:04 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 1.0000e-04 eta: 0:38:02 time: 0.2434 data_time: 0.0212 memory: 6108 grad_norm: 9.6149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/07/23 16:18:08 - mmengine - INFO - Epoch(train) [98][1720/3757] lr: 1.0000e-04 eta: 0:37:58 time: 0.2364 data_time: 0.0283 memory: 6108 grad_norm: 9.3239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/07/23 16:18:13 - mmengine - INFO - Epoch(train) [98][1740/3757] lr: 1.0000e-04 eta: 0:37:53 time: 0.2335 data_time: 0.0229 memory: 6108 grad_norm: 9.5188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9483 loss: 0.9483 2022/07/23 16:18:18 - mmengine - INFO - Epoch(train) [98][1760/3757] lr: 1.0000e-04 eta: 0:37:48 time: 0.2375 data_time: 0.0258 memory: 6108 grad_norm: 9.1598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/07/23 16:18:23 - mmengine - INFO - Epoch(train) [98][1780/3757] lr: 1.0000e-04 eta: 0:37:43 time: 0.2346 data_time: 0.0236 memory: 6108 grad_norm: 9.6033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0223 loss: 1.0223 2022/07/23 16:18:27 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 1.0000e-04 eta: 0:37:39 time: 0.2381 data_time: 0.0217 memory: 6108 grad_norm: 9.5654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1763 loss: 1.1763 2022/07/23 16:18:32 - mmengine - INFO - Epoch(train) [98][1820/3757] lr: 1.0000e-04 eta: 0:37:34 time: 0.2362 data_time: 0.0233 memory: 6108 grad_norm: 9.2270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0662 loss: 1.0662 2022/07/23 16:18:37 - mmengine - INFO - Epoch(train) [98][1840/3757] lr: 1.0000e-04 eta: 0:37:29 time: 0.2323 data_time: 0.0239 memory: 6108 grad_norm: 9.3378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/07/23 16:18:42 - mmengine - INFO - Epoch(train) [98][1860/3757] lr: 1.0000e-04 eta: 0:37:24 time: 0.2445 data_time: 0.0171 memory: 6108 grad_norm: 9.3329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/07/23 16:18:46 - mmengine - INFO - Epoch(train) [98][1880/3757] lr: 1.0000e-04 eta: 0:37:19 time: 0.2313 data_time: 0.0217 memory: 6108 grad_norm: 9.2940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8957 loss: 0.8957 2022/07/23 16:18:51 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 1.0000e-04 eta: 0:37:15 time: 0.2358 data_time: 0.0225 memory: 6108 grad_norm: 9.4432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/07/23 16:18:56 - mmengine - INFO - Epoch(train) [98][1920/3757] lr: 1.0000e-04 eta: 0:37:10 time: 0.2338 data_time: 0.0184 memory: 6108 grad_norm: 9.3946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2091 loss: 1.2091 2022/07/23 16:19:01 - mmengine - INFO - Epoch(train) [98][1940/3757] lr: 1.0000e-04 eta: 0:37:05 time: 0.2400 data_time: 0.0203 memory: 6108 grad_norm: 9.1651 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2228 loss: 1.2228 2022/07/23 16:19:05 - mmengine - INFO - Epoch(train) [98][1960/3757] lr: 1.0000e-04 eta: 0:37:00 time: 0.2302 data_time: 0.0256 memory: 6108 grad_norm: 8.8510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3441 loss: 1.3441 2022/07/23 16:19:10 - mmengine - INFO - Epoch(train) [98][1980/3757] lr: 1.0000e-04 eta: 0:36:56 time: 0.2336 data_time: 0.0188 memory: 6108 grad_norm: 9.0184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/07/23 16:19:15 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 1.0000e-04 eta: 0:36:51 time: 0.2326 data_time: 0.0237 memory: 6108 grad_norm: 8.9467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/07/23 16:19:20 - mmengine - INFO - Epoch(train) [98][2020/3757] lr: 1.0000e-04 eta: 0:36:46 time: 0.2374 data_time: 0.0275 memory: 6108 grad_norm: 9.6771 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/07/23 16:19:24 - mmengine - INFO - Epoch(train) [98][2040/3757] lr: 1.0000e-04 eta: 0:36:41 time: 0.2292 data_time: 0.0196 memory: 6108 grad_norm: 9.5343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/07/23 16:19:29 - mmengine - INFO - Epoch(train) [98][2060/3757] lr: 1.0000e-04 eta: 0:36:37 time: 0.2346 data_time: 0.0231 memory: 6108 grad_norm: 9.2765 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8762 loss: 0.8762 2022/07/23 16:19:34 - mmengine - INFO - Epoch(train) [98][2080/3757] lr: 1.0000e-04 eta: 0:36:32 time: 0.2353 data_time: 0.0223 memory: 6108 grad_norm: 9.2016 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4544 loss: 1.4544 2022/07/23 16:19:38 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 1.0000e-04 eta: 0:36:27 time: 0.2306 data_time: 0.0204 memory: 6108 grad_norm: 9.3918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4462 loss: 1.4462 2022/07/23 16:19:43 - mmengine - INFO - Epoch(train) [98][2120/3757] lr: 1.0000e-04 eta: 0:36:22 time: 0.2361 data_time: 0.0263 memory: 6108 grad_norm: 9.3052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9434 loss: 0.9434 2022/07/23 16:19:48 - mmengine - INFO - Epoch(train) [98][2140/3757] lr: 1.0000e-04 eta: 0:36:17 time: 0.2356 data_time: 0.0290 memory: 6108 grad_norm: 9.3552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/07/23 16:19:52 - mmengine - INFO - Epoch(train) [98][2160/3757] lr: 1.0000e-04 eta: 0:36:13 time: 0.2329 data_time: 0.0248 memory: 6108 grad_norm: 9.8386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/07/23 16:19:57 - mmengine - INFO - Epoch(train) [98][2180/3757] lr: 1.0000e-04 eta: 0:36:08 time: 0.2345 data_time: 0.0241 memory: 6108 grad_norm: 9.6173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/07/23 16:20:02 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 1.0000e-04 eta: 0:36:03 time: 0.2359 data_time: 0.0226 memory: 6108 grad_norm: 9.5527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/07/23 16:20:07 - mmengine - INFO - Epoch(train) [98][2220/3757] lr: 1.0000e-04 eta: 0:35:58 time: 0.2327 data_time: 0.0203 memory: 6108 grad_norm: 9.3293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0228 loss: 1.0228 2022/07/23 16:20:11 - mmengine - INFO - Epoch(train) [98][2240/3757] lr: 1.0000e-04 eta: 0:35:54 time: 0.2329 data_time: 0.0209 memory: 6108 grad_norm: 9.0972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2215 loss: 1.2215 2022/07/23 16:20:16 - mmengine - INFO - Epoch(train) [98][2260/3757] lr: 1.0000e-04 eta: 0:35:49 time: 0.2371 data_time: 0.0248 memory: 6108 grad_norm: 9.2194 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/07/23 16:20:21 - mmengine - INFO - Epoch(train) [98][2280/3757] lr: 1.0000e-04 eta: 0:35:44 time: 0.2290 data_time: 0.0201 memory: 6108 grad_norm: 9.4138 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4169 loss: 1.4169 2022/07/23 16:20:26 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 1.0000e-04 eta: 0:35:39 time: 0.2582 data_time: 0.0324 memory: 6108 grad_norm: 9.6957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1856 loss: 1.1856 2022/07/23 16:20:31 - mmengine - INFO - Epoch(train) [98][2320/3757] lr: 1.0000e-04 eta: 0:35:34 time: 0.2328 data_time: 0.0211 memory: 6108 grad_norm: 9.4065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/07/23 16:20:35 - mmengine - INFO - Epoch(train) [98][2340/3757] lr: 1.0000e-04 eta: 0:35:30 time: 0.2332 data_time: 0.0220 memory: 6108 grad_norm: 9.4630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/07/23 16:20:40 - mmengine - INFO - Epoch(train) [98][2360/3757] lr: 1.0000e-04 eta: 0:35:25 time: 0.2337 data_time: 0.0248 memory: 6108 grad_norm: 9.1525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0783 loss: 1.0783 2022/07/23 16:20:45 - mmengine - INFO - Epoch(train) [98][2380/3757] lr: 1.0000e-04 eta: 0:35:20 time: 0.2354 data_time: 0.0247 memory: 6108 grad_norm: 9.5468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/07/23 16:20:49 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 1.0000e-04 eta: 0:35:15 time: 0.2360 data_time: 0.0243 memory: 6108 grad_norm: 9.4680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/07/23 16:20:54 - mmengine - INFO - Epoch(train) [98][2420/3757] lr: 1.0000e-04 eta: 0:35:11 time: 0.2365 data_time: 0.0263 memory: 6108 grad_norm: 9.6489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0305 loss: 1.0305 2022/07/23 16:20:59 - mmengine - INFO - Epoch(train) [98][2440/3757] lr: 1.0000e-04 eta: 0:35:06 time: 0.2358 data_time: 0.0286 memory: 6108 grad_norm: 9.8653 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3701 loss: 1.3701 2022/07/23 16:21:04 - mmengine - INFO - Epoch(train) [98][2460/3757] lr: 1.0000e-04 eta: 0:35:01 time: 0.2352 data_time: 0.0263 memory: 6108 grad_norm: 9.3288 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/07/23 16:21:08 - mmengine - INFO - Epoch(train) [98][2480/3757] lr: 1.0000e-04 eta: 0:34:56 time: 0.2331 data_time: 0.0249 memory: 6108 grad_norm: 9.4288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2041 loss: 1.2041 2022/07/23 16:21:13 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 1.0000e-04 eta: 0:34:52 time: 0.2358 data_time: 0.0250 memory: 6108 grad_norm: 9.4068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2878 loss: 1.2878 2022/07/23 16:21:18 - mmengine - INFO - Epoch(train) [98][2520/3757] lr: 1.0000e-04 eta: 0:34:47 time: 0.2323 data_time: 0.0207 memory: 6108 grad_norm: 9.7219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2860 loss: 1.2860 2022/07/23 16:21:23 - mmengine - INFO - Epoch(train) [98][2540/3757] lr: 1.0000e-04 eta: 0:34:42 time: 0.2319 data_time: 0.0207 memory: 6108 grad_norm: 9.6495 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0860 loss: 1.0860 2022/07/23 16:21:27 - mmengine - INFO - Epoch(train) [98][2560/3757] lr: 1.0000e-04 eta: 0:34:37 time: 0.2349 data_time: 0.0296 memory: 6108 grad_norm: 9.1488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0572 loss: 1.0572 2022/07/23 16:21:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:21:32 - mmengine - INFO - Epoch(train) [98][2580/3757] lr: 1.0000e-04 eta: 0:34:32 time: 0.2350 data_time: 0.0225 memory: 6108 grad_norm: 8.7819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/07/23 16:21:37 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 1.0000e-04 eta: 0:34:28 time: 0.2342 data_time: 0.0198 memory: 6108 grad_norm: 9.3838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9605 loss: 0.9605 2022/07/23 16:21:41 - mmengine - INFO - Epoch(train) [98][2620/3757] lr: 1.0000e-04 eta: 0:34:23 time: 0.2312 data_time: 0.0203 memory: 6108 grad_norm: 9.5382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9695 loss: 0.9695 2022/07/23 16:21:46 - mmengine - INFO - Epoch(train) [98][2640/3757] lr: 1.0000e-04 eta: 0:34:18 time: 0.2308 data_time: 0.0249 memory: 6108 grad_norm: 9.6607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1649 loss: 1.1649 2022/07/23 16:21:51 - mmengine - INFO - Epoch(train) [98][2660/3757] lr: 1.0000e-04 eta: 0:34:13 time: 0.2407 data_time: 0.0218 memory: 6108 grad_norm: 9.6497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1776 loss: 1.1776 2022/07/23 16:21:56 - mmengine - INFO - Epoch(train) [98][2680/3757] lr: 1.0000e-04 eta: 0:34:09 time: 0.2368 data_time: 0.0295 memory: 6108 grad_norm: 9.6816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1157 loss: 1.1157 2022/07/23 16:22:00 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 1.0000e-04 eta: 0:34:04 time: 0.2306 data_time: 0.0211 memory: 6108 grad_norm: 9.6947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2843 loss: 1.2843 2022/07/23 16:22:05 - mmengine - INFO - Epoch(train) [98][2720/3757] lr: 1.0000e-04 eta: 0:33:59 time: 0.2344 data_time: 0.0257 memory: 6108 grad_norm: 9.1412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/07/23 16:22:10 - mmengine - INFO - Epoch(train) [98][2740/3757] lr: 1.0000e-04 eta: 0:33:54 time: 0.2363 data_time: 0.0260 memory: 6108 grad_norm: 9.3178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/23 16:22:14 - mmengine - INFO - Epoch(train) [98][2760/3757] lr: 1.0000e-04 eta: 0:33:49 time: 0.2315 data_time: 0.0250 memory: 6108 grad_norm: 9.2382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/07/23 16:22:19 - mmengine - INFO - Epoch(train) [98][2780/3757] lr: 1.0000e-04 eta: 0:33:45 time: 0.2265 data_time: 0.0246 memory: 6108 grad_norm: 10.0924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/07/23 16:22:24 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 1.0000e-04 eta: 0:33:40 time: 0.2426 data_time: 0.0269 memory: 6108 grad_norm: 9.6679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9937 loss: 0.9937 2022/07/23 16:22:29 - mmengine - INFO - Epoch(train) [98][2820/3757] lr: 1.0000e-04 eta: 0:33:35 time: 0.2341 data_time: 0.0233 memory: 6108 grad_norm: 9.4023 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0692 loss: 1.0692 2022/07/23 16:22:34 - mmengine - INFO - Epoch(train) [98][2840/3757] lr: 1.0000e-04 eta: 0:33:30 time: 0.2432 data_time: 0.0160 memory: 6108 grad_norm: 9.6256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/07/23 16:22:38 - mmengine - INFO - Epoch(train) [98][2860/3757] lr: 1.0000e-04 eta: 0:33:26 time: 0.2264 data_time: 0.0239 memory: 6108 grad_norm: 9.0590 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1262 loss: 1.1262 2022/07/23 16:22:43 - mmengine - INFO - Epoch(train) [98][2880/3757] lr: 1.0000e-04 eta: 0:33:21 time: 0.2321 data_time: 0.0178 memory: 6108 grad_norm: 9.4945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0844 loss: 1.0844 2022/07/23 16:22:47 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 1.0000e-04 eta: 0:33:16 time: 0.2302 data_time: 0.0181 memory: 6108 grad_norm: 9.5178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9383 loss: 0.9383 2022/07/23 16:22:52 - mmengine - INFO - Epoch(train) [98][2920/3757] lr: 1.0000e-04 eta: 0:33:11 time: 0.2346 data_time: 0.0227 memory: 6108 grad_norm: 9.1195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1927 loss: 1.1927 2022/07/23 16:22:57 - mmengine - INFO - Epoch(train) [98][2940/3757] lr: 1.0000e-04 eta: 0:33:07 time: 0.2381 data_time: 0.0225 memory: 6108 grad_norm: 9.4496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3838 loss: 1.3838 2022/07/23 16:23:02 - mmengine - INFO - Epoch(train) [98][2960/3757] lr: 1.0000e-04 eta: 0:33:02 time: 0.2310 data_time: 0.0210 memory: 6108 grad_norm: 9.4900 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8610 loss: 0.8610 2022/07/23 16:23:06 - mmengine - INFO - Epoch(train) [98][2980/3757] lr: 1.0000e-04 eta: 0:32:57 time: 0.2356 data_time: 0.0269 memory: 6108 grad_norm: 9.7870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0257 loss: 1.0257 2022/07/23 16:23:11 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 1.0000e-04 eta: 0:32:52 time: 0.2353 data_time: 0.0236 memory: 6108 grad_norm: 9.5986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1314 loss: 1.1314 2022/07/23 16:23:16 - mmengine - INFO - Epoch(train) [98][3020/3757] lr: 1.0000e-04 eta: 0:32:47 time: 0.2347 data_time: 0.0241 memory: 6108 grad_norm: 8.8915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/07/23 16:23:21 - mmengine - INFO - Epoch(train) [98][3040/3757] lr: 1.0000e-04 eta: 0:32:43 time: 0.2450 data_time: 0.0231 memory: 6108 grad_norm: 9.7269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0375 loss: 1.0375 2022/07/23 16:23:25 - mmengine - INFO - Epoch(train) [98][3060/3757] lr: 1.0000e-04 eta: 0:32:38 time: 0.2291 data_time: 0.0213 memory: 6108 grad_norm: 9.7809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/07/23 16:23:30 - mmengine - INFO - Epoch(train) [98][3080/3757] lr: 1.0000e-04 eta: 0:32:33 time: 0.2393 data_time: 0.0240 memory: 6108 grad_norm: 9.1551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1356 loss: 1.1356 2022/07/23 16:23:35 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 1.0000e-04 eta: 0:32:28 time: 0.2302 data_time: 0.0267 memory: 6108 grad_norm: 9.6378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0801 loss: 1.0801 2022/07/23 16:23:39 - mmengine - INFO - Epoch(train) [98][3120/3757] lr: 1.0000e-04 eta: 0:32:24 time: 0.2298 data_time: 0.0212 memory: 6108 grad_norm: 9.2467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/07/23 16:23:44 - mmengine - INFO - Epoch(train) [98][3140/3757] lr: 1.0000e-04 eta: 0:32:19 time: 0.2388 data_time: 0.0209 memory: 6108 grad_norm: 9.1685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1250 loss: 1.1250 2022/07/23 16:23:49 - mmengine - INFO - Epoch(train) [98][3160/3757] lr: 1.0000e-04 eta: 0:32:14 time: 0.2281 data_time: 0.0245 memory: 6108 grad_norm: 9.8110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/07/23 16:23:54 - mmengine - INFO - Epoch(train) [98][3180/3757] lr: 1.0000e-04 eta: 0:32:09 time: 0.2363 data_time: 0.0276 memory: 6108 grad_norm: 9.5317 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1320 loss: 1.1320 2022/07/23 16:23:58 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 1.0000e-04 eta: 0:32:04 time: 0.2410 data_time: 0.0221 memory: 6108 grad_norm: 9.3106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4233 loss: 1.4233 2022/07/23 16:24:03 - mmengine - INFO - Epoch(train) [98][3220/3757] lr: 1.0000e-04 eta: 0:32:00 time: 0.2389 data_time: 0.0220 memory: 6108 grad_norm: 9.1944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/07/23 16:24:08 - mmengine - INFO - Epoch(train) [98][3240/3757] lr: 1.0000e-04 eta: 0:31:55 time: 0.2325 data_time: 0.0203 memory: 6108 grad_norm: 9.3492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0566 loss: 1.0566 2022/07/23 16:24:13 - mmengine - INFO - Epoch(train) [98][3260/3757] lr: 1.0000e-04 eta: 0:31:50 time: 0.2333 data_time: 0.0244 memory: 6108 grad_norm: 9.3932 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/07/23 16:24:17 - mmengine - INFO - Epoch(train) [98][3280/3757] lr: 1.0000e-04 eta: 0:31:45 time: 0.2376 data_time: 0.0241 memory: 6108 grad_norm: 9.0644 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1430 loss: 1.1430 2022/07/23 16:24:22 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 1.0000e-04 eta: 0:31:41 time: 0.2433 data_time: 0.0206 memory: 6108 grad_norm: 9.1384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/07/23 16:24:27 - mmengine - INFO - Epoch(train) [98][3320/3757] lr: 1.0000e-04 eta: 0:31:36 time: 0.2305 data_time: 0.0229 memory: 6108 grad_norm: 9.6367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0394 loss: 1.0394 2022/07/23 16:24:32 - mmengine - INFO - Epoch(train) [98][3340/3757] lr: 1.0000e-04 eta: 0:31:31 time: 0.2343 data_time: 0.0280 memory: 6108 grad_norm: 9.0776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0560 loss: 1.0560 2022/07/23 16:24:36 - mmengine - INFO - Epoch(train) [98][3360/3757] lr: 1.0000e-04 eta: 0:31:26 time: 0.2284 data_time: 0.0209 memory: 6108 grad_norm: 9.3553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/07/23 16:24:41 - mmengine - INFO - Epoch(train) [98][3380/3757] lr: 1.0000e-04 eta: 0:31:22 time: 0.2427 data_time: 0.0193 memory: 6108 grad_norm: 9.6030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0474 loss: 1.0474 2022/07/23 16:24:46 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 1.0000e-04 eta: 0:31:17 time: 0.2321 data_time: 0.0245 memory: 6108 grad_norm: 9.9692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/07/23 16:24:51 - mmengine - INFO - Epoch(train) [98][3420/3757] lr: 1.0000e-04 eta: 0:31:12 time: 0.2349 data_time: 0.0283 memory: 6108 grad_norm: 9.4786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9897 loss: 0.9897 2022/07/23 16:24:55 - mmengine - INFO - Epoch(train) [98][3440/3757] lr: 1.0000e-04 eta: 0:31:07 time: 0.2313 data_time: 0.0198 memory: 6108 grad_norm: 9.3003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0541 loss: 1.0541 2022/07/23 16:25:00 - mmengine - INFO - Epoch(train) [98][3460/3757] lr: 1.0000e-04 eta: 0:31:02 time: 0.2473 data_time: 0.0255 memory: 6108 grad_norm: 9.5129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1439 loss: 1.1439 2022/07/23 16:25:05 - mmengine - INFO - Epoch(train) [98][3480/3757] lr: 1.0000e-04 eta: 0:30:58 time: 0.2334 data_time: 0.0265 memory: 6108 grad_norm: 9.8512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2167 loss: 1.2167 2022/07/23 16:25:10 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 1.0000e-04 eta: 0:30:53 time: 0.2311 data_time: 0.0280 memory: 6108 grad_norm: 9.4456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/07/23 16:25:14 - mmengine - INFO - Epoch(train) [98][3520/3757] lr: 1.0000e-04 eta: 0:30:48 time: 0.2367 data_time: 0.0247 memory: 6108 grad_norm: 9.7110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3473 loss: 1.3473 2022/07/23 16:25:19 - mmengine - INFO - Epoch(train) [98][3540/3757] lr: 1.0000e-04 eta: 0:30:43 time: 0.2340 data_time: 0.0256 memory: 6108 grad_norm: 9.5386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1085 loss: 1.1085 2022/07/23 16:25:24 - mmengine - INFO - Epoch(train) [98][3560/3757] lr: 1.0000e-04 eta: 0:30:39 time: 0.2398 data_time: 0.0244 memory: 6108 grad_norm: 8.9346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9569 loss: 0.9569 2022/07/23 16:25:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:25:28 - mmengine - INFO - Epoch(train) [98][3580/3757] lr: 1.0000e-04 eta: 0:30:34 time: 0.2269 data_time: 0.0225 memory: 6108 grad_norm: 9.5074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/07/23 16:25:33 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 1.0000e-04 eta: 0:30:29 time: 0.2348 data_time: 0.0218 memory: 6108 grad_norm: 9.4598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/07/23 16:25:38 - mmengine - INFO - Epoch(train) [98][3620/3757] lr: 1.0000e-04 eta: 0:30:24 time: 0.2341 data_time: 0.0249 memory: 6108 grad_norm: 9.0250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0968 loss: 1.0968 2022/07/23 16:25:43 - mmengine - INFO - Epoch(train) [98][3640/3757] lr: 1.0000e-04 eta: 0:30:20 time: 0.2430 data_time: 0.0256 memory: 6108 grad_norm: 9.4444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/07/23 16:25:47 - mmengine - INFO - Epoch(train) [98][3660/3757] lr: 1.0000e-04 eta: 0:30:15 time: 0.2280 data_time: 0.0235 memory: 6108 grad_norm: 9.6359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1778 loss: 1.1778 2022/07/23 16:25:52 - mmengine - INFO - Epoch(train) [98][3680/3757] lr: 1.0000e-04 eta: 0:30:10 time: 0.2341 data_time: 0.0224 memory: 6108 grad_norm: 9.4567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9970 loss: 0.9970 2022/07/23 16:25:57 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 1.0000e-04 eta: 0:30:05 time: 0.2378 data_time: 0.0289 memory: 6108 grad_norm: 9.3809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2040 loss: 1.2040 2022/07/23 16:26:02 - mmengine - INFO - Epoch(train) [98][3720/3757] lr: 1.0000e-04 eta: 0:30:00 time: 0.2566 data_time: 0.0201 memory: 6108 grad_norm: 9.4087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0949 loss: 1.0949 2022/07/23 16:26:07 - mmengine - INFO - Epoch(train) [98][3740/3757] lr: 1.0000e-04 eta: 0:29:56 time: 0.2269 data_time: 0.0222 memory: 6108 grad_norm: 9.3043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9365 loss: 0.9365 2022/07/23 16:26:10 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:26:10 - mmengine - INFO - Epoch(train) [98][3757/3757] lr: 1.0000e-04 eta: 0:29:56 time: 0.2033 data_time: 0.0173 memory: 6108 grad_norm: 9.9155 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3177 loss: 1.3177 2022/07/23 16:26:16 - mmengine - INFO - Epoch(val) [98][20/310] eta: 0:01:20 time: 0.2773 data_time: 0.1949 memory: 1428 2022/07/23 16:26:19 - mmengine - INFO - Epoch(val) [98][40/310] eta: 0:00:49 time: 0.1828 data_time: 0.1075 memory: 1428 2022/07/23 16:26:24 - mmengine - INFO - Epoch(val) [98][60/310] eta: 0:00:56 time: 0.2271 data_time: 0.1545 memory: 1428 2022/07/23 16:26:28 - mmengine - INFO - Epoch(val) [98][80/310] eta: 0:00:47 time: 0.2062 data_time: 0.1310 memory: 1428 2022/07/23 16:26:33 - mmengine - INFO - Epoch(val) [98][100/310] eta: 0:00:49 time: 0.2348 data_time: 0.1568 memory: 1428 2022/07/23 16:26:36 - mmengine - INFO - Epoch(val) [98][120/310] eta: 0:00:36 time: 0.1920 data_time: 0.1177 memory: 1428 2022/07/23 16:26:42 - mmengine - INFO - Epoch(val) [98][140/310] eta: 0:00:46 time: 0.2712 data_time: 0.1931 memory: 1428 2022/07/23 16:26:46 - mmengine - INFO - Epoch(val) [98][160/310] eta: 0:00:27 time: 0.1822 data_time: 0.1091 memory: 1428 2022/07/23 16:26:50 - mmengine - INFO - Epoch(val) [98][180/310] eta: 0:00:31 time: 0.2431 data_time: 0.1672 memory: 1428 2022/07/23 16:26:54 - mmengine - INFO - Epoch(val) [98][200/310] eta: 0:00:19 time: 0.1781 data_time: 0.1048 memory: 1428 2022/07/23 16:26:58 - mmengine - INFO - Epoch(val) [98][220/310] eta: 0:00:19 time: 0.2149 data_time: 0.1415 memory: 1428 2022/07/23 16:27:02 - mmengine - INFO - Epoch(val) [98][240/310] eta: 0:00:13 time: 0.1943 data_time: 0.1177 memory: 1428 2022/07/23 16:27:06 - mmengine - INFO - Epoch(val) [98][260/310] eta: 0:00:10 time: 0.2144 data_time: 0.1368 memory: 1428 2022/07/23 16:27:10 - mmengine - INFO - Epoch(val) [98][280/310] eta: 0:00:05 time: 0.1933 data_time: 0.1086 memory: 1428 2022/07/23 16:27:15 - mmengine - INFO - Epoch(val) [98][300/310] eta: 0:00:02 time: 0.2087 data_time: 0.1326 memory: 1428 2022/07/23 16:27:19 - mmengine - INFO - Epoch(val) [98][310/310] acc/top1: 0.6652 acc/top5: 0.8667 acc/mean1: 0.6651 2022/07/23 16:27:26 - mmengine - INFO - Epoch(train) [99][20/3757] lr: 1.0000e-04 eta: 0:29:47 time: 0.3143 data_time: 0.0773 memory: 6108 grad_norm: 9.3555 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/07/23 16:27:31 - mmengine - INFO - Epoch(train) [99][40/3757] lr: 1.0000e-04 eta: 0:29:42 time: 0.2409 data_time: 0.0199 memory: 6108 grad_norm: 9.3580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8526 loss: 0.8526 2022/07/23 16:27:35 - mmengine - INFO - Epoch(train) [99][60/3757] lr: 1.0000e-04 eta: 0:29:37 time: 0.2402 data_time: 0.0220 memory: 6108 grad_norm: 9.1568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8747 loss: 0.8747 2022/07/23 16:27:40 - mmengine - INFO - Epoch(train) [99][80/3757] lr: 1.0000e-04 eta: 0:29:32 time: 0.2322 data_time: 0.0221 memory: 6108 grad_norm: 9.5032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/07/23 16:27:45 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 1.0000e-04 eta: 0:29:28 time: 0.2409 data_time: 0.0295 memory: 6108 grad_norm: 9.3571 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/07/23 16:27:50 - mmengine - INFO - Epoch(train) [99][120/3757] lr: 1.0000e-04 eta: 0:29:23 time: 0.2318 data_time: 0.0219 memory: 6108 grad_norm: 9.6197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/07/23 16:27:54 - mmengine - INFO - Epoch(train) [99][140/3757] lr: 1.0000e-04 eta: 0:29:18 time: 0.2324 data_time: 0.0197 memory: 6108 grad_norm: 9.0986 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/23 16:27:59 - mmengine - INFO - Epoch(train) [99][160/3757] lr: 1.0000e-04 eta: 0:29:13 time: 0.2329 data_time: 0.0282 memory: 6108 grad_norm: 9.6186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1114 loss: 1.1114 2022/07/23 16:28:04 - mmengine - INFO - Epoch(train) [99][180/3757] lr: 1.0000e-04 eta: 0:29:09 time: 0.2456 data_time: 0.0342 memory: 6108 grad_norm: 9.3233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0918 loss: 1.0918 2022/07/23 16:28:09 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 1.0000e-04 eta: 0:29:04 time: 0.2286 data_time: 0.0233 memory: 6108 grad_norm: 9.5172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/07/23 16:28:13 - mmengine - INFO - Epoch(train) [99][220/3757] lr: 1.0000e-04 eta: 0:28:59 time: 0.2333 data_time: 0.0230 memory: 6108 grad_norm: 9.6724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3127 loss: 1.3127 2022/07/23 16:28:18 - mmengine - INFO - Epoch(train) [99][240/3757] lr: 1.0000e-04 eta: 0:28:54 time: 0.2377 data_time: 0.0272 memory: 6108 grad_norm: 9.7102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/07/23 16:28:23 - mmengine - INFO - Epoch(train) [99][260/3757] lr: 1.0000e-04 eta: 0:28:50 time: 0.2349 data_time: 0.0249 memory: 6108 grad_norm: 9.6226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0581 loss: 1.0581 2022/07/23 16:28:27 - mmengine - INFO - Epoch(train) [99][280/3757] lr: 1.0000e-04 eta: 0:28:45 time: 0.2312 data_time: 0.0210 memory: 6108 grad_norm: 9.1673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1626 loss: 1.1626 2022/07/23 16:28:32 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 1.0000e-04 eta: 0:28:40 time: 0.2311 data_time: 0.0270 memory: 6108 grad_norm: 9.3389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/07/23 16:28:37 - mmengine - INFO - Epoch(train) [99][320/3757] lr: 1.0000e-04 eta: 0:28:35 time: 0.2343 data_time: 0.0279 memory: 6108 grad_norm: 9.5767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/07/23 16:28:41 - mmengine - INFO - Epoch(train) [99][340/3757] lr: 1.0000e-04 eta: 0:28:30 time: 0.2325 data_time: 0.0199 memory: 6108 grad_norm: 9.1588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0260 loss: 1.0260 2022/07/23 16:28:46 - mmengine - INFO - Epoch(train) [99][360/3757] lr: 1.0000e-04 eta: 0:28:26 time: 0.2335 data_time: 0.0217 memory: 6108 grad_norm: 9.7031 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3545 loss: 1.3545 2022/07/23 16:28:51 - mmengine - INFO - Epoch(train) [99][380/3757] lr: 1.0000e-04 eta: 0:28:21 time: 0.2441 data_time: 0.0244 memory: 6108 grad_norm: 9.4659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/07/23 16:28:56 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 1.0000e-04 eta: 0:28:16 time: 0.2286 data_time: 0.0179 memory: 6108 grad_norm: 9.1691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/07/23 16:29:00 - mmengine - INFO - Epoch(train) [99][420/3757] lr: 1.0000e-04 eta: 0:28:11 time: 0.2368 data_time: 0.0240 memory: 6108 grad_norm: 9.8259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/07/23 16:29:05 - mmengine - INFO - Epoch(train) [99][440/3757] lr: 1.0000e-04 eta: 0:28:07 time: 0.2310 data_time: 0.0266 memory: 6108 grad_norm: 9.9170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1171 loss: 1.1171 2022/07/23 16:29:10 - mmengine - INFO - Epoch(train) [99][460/3757] lr: 1.0000e-04 eta: 0:28:02 time: 0.2329 data_time: 0.0192 memory: 6108 grad_norm: 9.1635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/07/23 16:29:15 - mmengine - INFO - Epoch(train) [99][480/3757] lr: 1.0000e-04 eta: 0:27:57 time: 0.2373 data_time: 0.0219 memory: 6108 grad_norm: 9.3631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1021 loss: 1.1021 2022/07/23 16:29:19 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 1.0000e-04 eta: 0:27:52 time: 0.2331 data_time: 0.0189 memory: 6108 grad_norm: 9.7320 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3096 loss: 1.3096 2022/07/23 16:29:24 - mmengine - INFO - Epoch(train) [99][520/3757] lr: 1.0000e-04 eta: 0:27:48 time: 0.2307 data_time: 0.0196 memory: 6108 grad_norm: 9.2259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0561 loss: 1.0561 2022/07/23 16:29:29 - mmengine - INFO - Epoch(train) [99][540/3757] lr: 1.0000e-04 eta: 0:27:43 time: 0.2294 data_time: 0.0231 memory: 6108 grad_norm: 9.4623 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0611 loss: 1.0611 2022/07/23 16:29:33 - mmengine - INFO - Epoch(train) [99][560/3757] lr: 1.0000e-04 eta: 0:27:38 time: 0.2344 data_time: 0.0195 memory: 6108 grad_norm: 9.4158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/07/23 16:29:38 - mmengine - INFO - Epoch(train) [99][580/3757] lr: 1.0000e-04 eta: 0:27:33 time: 0.2324 data_time: 0.0287 memory: 6108 grad_norm: 9.5748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2928 loss: 1.2928 2022/07/23 16:29:43 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 1.0000e-04 eta: 0:27:28 time: 0.2349 data_time: 0.0268 memory: 6108 grad_norm: 9.3016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1263 loss: 1.1263 2022/07/23 16:29:47 - mmengine - INFO - Epoch(train) [99][620/3757] lr: 1.0000e-04 eta: 0:27:24 time: 0.2312 data_time: 0.0254 memory: 6108 grad_norm: 9.4983 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/07/23 16:29:52 - mmengine - INFO - Epoch(train) [99][640/3757] lr: 1.0000e-04 eta: 0:27:19 time: 0.2384 data_time: 0.0201 memory: 6108 grad_norm: 9.5086 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/07/23 16:29:57 - mmengine - INFO - Epoch(train) [99][660/3757] lr: 1.0000e-04 eta: 0:27:14 time: 0.2333 data_time: 0.0324 memory: 6108 grad_norm: 9.2798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/07/23 16:30:02 - mmengine - INFO - Epoch(train) [99][680/3757] lr: 1.0000e-04 eta: 0:27:09 time: 0.2351 data_time: 0.0251 memory: 6108 grad_norm: 9.7269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1497 loss: 1.1497 2022/07/23 16:30:06 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 1.0000e-04 eta: 0:27:05 time: 0.2326 data_time: 0.0269 memory: 6108 grad_norm: 9.6017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3310 loss: 1.3310 2022/07/23 16:30:11 - mmengine - INFO - Epoch(train) [99][720/3757] lr: 1.0000e-04 eta: 0:27:00 time: 0.2300 data_time: 0.0256 memory: 6108 grad_norm: 9.0689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0389 loss: 1.0389 2022/07/23 16:30:16 - mmengine - INFO - Epoch(train) [99][740/3757] lr: 1.0000e-04 eta: 0:26:55 time: 0.2300 data_time: 0.0227 memory: 6108 grad_norm: 9.8535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3617 loss: 1.3617 2022/07/23 16:30:20 - mmengine - INFO - Epoch(train) [99][760/3757] lr: 1.0000e-04 eta: 0:26:50 time: 0.2342 data_time: 0.0217 memory: 6108 grad_norm: 9.5814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2835 loss: 1.2835 2022/07/23 16:30:25 - mmengine - INFO - Epoch(train) [99][780/3757] lr: 1.0000e-04 eta: 0:26:45 time: 0.2388 data_time: 0.0248 memory: 6108 grad_norm: 9.8053 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3262 loss: 1.3262 2022/07/23 16:30:30 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 1.0000e-04 eta: 0:26:41 time: 0.2337 data_time: 0.0269 memory: 6108 grad_norm: 9.4326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2711 loss: 1.2711 2022/07/23 16:30:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:30:34 - mmengine - INFO - Epoch(train) [99][820/3757] lr: 1.0000e-04 eta: 0:26:36 time: 0.2323 data_time: 0.0279 memory: 6108 grad_norm: 9.8730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2105 loss: 1.2105 2022/07/23 16:30:39 - mmengine - INFO - Epoch(train) [99][840/3757] lr: 1.0000e-04 eta: 0:26:31 time: 0.2320 data_time: 0.0288 memory: 6108 grad_norm: 9.4401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1433 loss: 1.1433 2022/07/23 16:30:44 - mmengine - INFO - Epoch(train) [99][860/3757] lr: 1.0000e-04 eta: 0:26:26 time: 0.2344 data_time: 0.0292 memory: 6108 grad_norm: 9.8148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8548 loss: 0.8548 2022/07/23 16:30:49 - mmengine - INFO - Epoch(train) [99][880/3757] lr: 1.0000e-04 eta: 0:26:22 time: 0.2589 data_time: 0.0167 memory: 6108 grad_norm: 9.9635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1533 loss: 1.1533 2022/07/23 16:30:54 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 1.0000e-04 eta: 0:26:17 time: 0.2292 data_time: 0.0293 memory: 6108 grad_norm: 9.1527 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/23 16:30:59 - mmengine - INFO - Epoch(train) [99][920/3757] lr: 1.0000e-04 eta: 0:26:12 time: 0.2397 data_time: 0.0219 memory: 6108 grad_norm: 9.5556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1433 loss: 1.1433 2022/07/23 16:31:03 - mmengine - INFO - Epoch(train) [99][940/3757] lr: 1.0000e-04 eta: 0:26:07 time: 0.2287 data_time: 0.0222 memory: 6108 grad_norm: 9.3792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8506 loss: 0.8506 2022/07/23 16:31:08 - mmengine - INFO - Epoch(train) [99][960/3757] lr: 1.0000e-04 eta: 0:26:03 time: 0.2344 data_time: 0.0219 memory: 6108 grad_norm: 9.7927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9639 loss: 0.9639 2022/07/23 16:31:13 - mmengine - INFO - Epoch(train) [99][980/3757] lr: 1.0000e-04 eta: 0:25:58 time: 0.2395 data_time: 0.0209 memory: 6108 grad_norm: 9.6237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0663 loss: 1.0663 2022/07/23 16:31:17 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 1.0000e-04 eta: 0:25:53 time: 0.2279 data_time: 0.0223 memory: 6108 grad_norm: 9.5441 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1226 loss: 1.1226 2022/07/23 16:31:22 - mmengine - INFO - Epoch(train) [99][1020/3757] lr: 1.0000e-04 eta: 0:25:48 time: 0.2339 data_time: 0.0265 memory: 6108 grad_norm: 9.4364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/07/23 16:31:27 - mmengine - INFO - Epoch(train) [99][1040/3757] lr: 1.0000e-04 eta: 0:25:43 time: 0.2337 data_time: 0.0258 memory: 6108 grad_norm: 9.3210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/07/23 16:31:31 - mmengine - INFO - Epoch(train) [99][1060/3757] lr: 1.0000e-04 eta: 0:25:39 time: 0.2383 data_time: 0.0195 memory: 6108 grad_norm: 9.3441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/07/23 16:31:36 - mmengine - INFO - Epoch(train) [99][1080/3757] lr: 1.0000e-04 eta: 0:25:34 time: 0.2252 data_time: 0.0212 memory: 6108 grad_norm: 9.0199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/07/23 16:31:41 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 1.0000e-04 eta: 0:25:29 time: 0.2279 data_time: 0.0217 memory: 6108 grad_norm: 9.5105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/07/23 16:31:45 - mmengine - INFO - Epoch(train) [99][1120/3757] lr: 1.0000e-04 eta: 0:25:24 time: 0.2317 data_time: 0.0238 memory: 6108 grad_norm: 9.6364 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1564 loss: 1.1564 2022/07/23 16:31:50 - mmengine - INFO - Epoch(train) [99][1140/3757] lr: 1.0000e-04 eta: 0:25:20 time: 0.2337 data_time: 0.0237 memory: 6108 grad_norm: 9.7693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/07/23 16:31:55 - mmengine - INFO - Epoch(train) [99][1160/3757] lr: 1.0000e-04 eta: 0:25:15 time: 0.2390 data_time: 0.0187 memory: 6108 grad_norm: 9.3005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/07/23 16:31:59 - mmengine - INFO - Epoch(train) [99][1180/3757] lr: 1.0000e-04 eta: 0:25:10 time: 0.2310 data_time: 0.0223 memory: 6108 grad_norm: 9.0893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/07/23 16:32:04 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 1.0000e-04 eta: 0:25:05 time: 0.2339 data_time: 0.0274 memory: 6108 grad_norm: 9.4426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/07/23 16:32:09 - mmengine - INFO - Epoch(train) [99][1220/3757] lr: 1.0000e-04 eta: 0:25:01 time: 0.2361 data_time: 0.0234 memory: 6108 grad_norm: 9.3703 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0817 loss: 1.0817 2022/07/23 16:32:14 - mmengine - INFO - Epoch(train) [99][1240/3757] lr: 1.0000e-04 eta: 0:24:56 time: 0.2315 data_time: 0.0178 memory: 6108 grad_norm: 9.9712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1172 loss: 1.1172 2022/07/23 16:32:18 - mmengine - INFO - Epoch(train) [99][1260/3757] lr: 1.0000e-04 eta: 0:24:51 time: 0.2286 data_time: 0.0233 memory: 6108 grad_norm: 9.3875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9976 loss: 0.9976 2022/07/23 16:32:23 - mmengine - INFO - Epoch(train) [99][1280/3757] lr: 1.0000e-04 eta: 0:24:46 time: 0.2295 data_time: 0.0211 memory: 6108 grad_norm: 9.3210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/07/23 16:32:28 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 1.0000e-04 eta: 0:24:41 time: 0.2331 data_time: 0.0204 memory: 6108 grad_norm: 9.3870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9396 loss: 0.9396 2022/07/23 16:32:32 - mmengine - INFO - Epoch(train) [99][1320/3757] lr: 1.0000e-04 eta: 0:24:37 time: 0.2419 data_time: 0.0281 memory: 6108 grad_norm: 9.0894 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8536 loss: 0.8536 2022/07/23 16:32:37 - mmengine - INFO - Epoch(train) [99][1340/3757] lr: 1.0000e-04 eta: 0:24:32 time: 0.2335 data_time: 0.0269 memory: 6108 grad_norm: 9.5657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0568 loss: 1.0568 2022/07/23 16:32:42 - mmengine - INFO - Epoch(train) [99][1360/3757] lr: 1.0000e-04 eta: 0:24:27 time: 0.2608 data_time: 0.0219 memory: 6108 grad_norm: 9.4343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8873 loss: 0.8873 2022/07/23 16:32:47 - mmengine - INFO - Epoch(train) [99][1380/3757] lr: 1.0000e-04 eta: 0:24:22 time: 0.2274 data_time: 0.0243 memory: 6108 grad_norm: 9.2704 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/07/23 16:32:52 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 1.0000e-04 eta: 0:24:18 time: 0.2368 data_time: 0.0353 memory: 6108 grad_norm: 9.3425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1619 loss: 1.1619 2022/07/23 16:32:56 - mmengine - INFO - Epoch(train) [99][1420/3757] lr: 1.0000e-04 eta: 0:24:13 time: 0.2308 data_time: 0.0255 memory: 6108 grad_norm: 9.2314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2072 loss: 1.2072 2022/07/23 16:33:01 - mmengine - INFO - Epoch(train) [99][1440/3757] lr: 1.0000e-04 eta: 0:24:08 time: 0.2326 data_time: 0.0305 memory: 6108 grad_norm: 9.6442 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1155 loss: 1.1155 2022/07/23 16:33:06 - mmengine - INFO - Epoch(train) [99][1460/3757] lr: 1.0000e-04 eta: 0:24:03 time: 0.2305 data_time: 0.0256 memory: 6108 grad_norm: 9.4926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/07/23 16:33:10 - mmengine - INFO - Epoch(train) [99][1480/3757] lr: 1.0000e-04 eta: 0:23:58 time: 0.2337 data_time: 0.0251 memory: 6108 grad_norm: 9.5319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/07/23 16:33:15 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 1.0000e-04 eta: 0:23:54 time: 0.2345 data_time: 0.0299 memory: 6108 grad_norm: 9.5383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1750 loss: 1.1750 2022/07/23 16:33:20 - mmengine - INFO - Epoch(train) [99][1520/3757] lr: 1.0000e-04 eta: 0:23:49 time: 0.2306 data_time: 0.0251 memory: 6108 grad_norm: 9.7997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/07/23 16:33:24 - mmengine - INFO - Epoch(train) [99][1540/3757] lr: 1.0000e-04 eta: 0:23:44 time: 0.2362 data_time: 0.0226 memory: 6108 grad_norm: 9.6286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1165 loss: 1.1165 2022/07/23 16:33:29 - mmengine - INFO - Epoch(train) [99][1560/3757] lr: 1.0000e-04 eta: 0:23:39 time: 0.2477 data_time: 0.0216 memory: 6108 grad_norm: 9.6384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3162 loss: 1.3162 2022/07/23 16:33:34 - mmengine - INFO - Epoch(train) [99][1580/3757] lr: 1.0000e-04 eta: 0:23:35 time: 0.2348 data_time: 0.0247 memory: 6108 grad_norm: 9.6318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/23 16:33:39 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 1.0000e-04 eta: 0:23:30 time: 0.2323 data_time: 0.0226 memory: 6108 grad_norm: 9.4828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/07/23 16:33:44 - mmengine - INFO - Epoch(train) [99][1620/3757] lr: 1.0000e-04 eta: 0:23:25 time: 0.2293 data_time: 0.0240 memory: 6108 grad_norm: 9.2167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0172 loss: 1.0172 2022/07/23 16:33:48 - mmengine - INFO - Epoch(train) [99][1640/3757] lr: 1.0000e-04 eta: 0:23:20 time: 0.2288 data_time: 0.0196 memory: 6108 grad_norm: 9.8350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3408 loss: 1.3408 2022/07/23 16:33:53 - mmengine - INFO - Epoch(train) [99][1660/3757] lr: 1.0000e-04 eta: 0:23:16 time: 0.2362 data_time: 0.0186 memory: 6108 grad_norm: 9.1914 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2356 loss: 1.2356 2022/07/23 16:33:58 - mmengine - INFO - Epoch(train) [99][1680/3757] lr: 1.0000e-04 eta: 0:23:11 time: 0.2336 data_time: 0.0245 memory: 6108 grad_norm: 9.8160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/07/23 16:34:02 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 1.0000e-04 eta: 0:23:06 time: 0.2411 data_time: 0.0241 memory: 6108 grad_norm: 9.2082 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2686 loss: 1.2686 2022/07/23 16:34:07 - mmengine - INFO - Epoch(train) [99][1720/3757] lr: 1.0000e-04 eta: 0:23:01 time: 0.2403 data_time: 0.0231 memory: 6108 grad_norm: 9.3941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/07/23 16:34:12 - mmengine - INFO - Epoch(train) [99][1740/3757] lr: 1.0000e-04 eta: 0:22:56 time: 0.2316 data_time: 0.0218 memory: 6108 grad_norm: 9.2576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/07/23 16:34:17 - mmengine - INFO - Epoch(train) [99][1760/3757] lr: 1.0000e-04 eta: 0:22:52 time: 0.2306 data_time: 0.0210 memory: 6108 grad_norm: 9.3992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/07/23 16:34:22 - mmengine - INFO - Epoch(train) [99][1780/3757] lr: 1.0000e-04 eta: 0:22:47 time: 0.2438 data_time: 0.0182 memory: 6108 grad_norm: 9.4213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8481 loss: 0.8481 2022/07/23 16:34:26 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 1.0000e-04 eta: 0:22:42 time: 0.2289 data_time: 0.0242 memory: 6108 grad_norm: 9.5327 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3385 loss: 1.3385 2022/07/23 16:34:30 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:34:31 - mmengine - INFO - Epoch(train) [99][1820/3757] lr: 1.0000e-04 eta: 0:22:37 time: 0.2429 data_time: 0.0264 memory: 6108 grad_norm: 9.7437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8233 loss: 0.8233 2022/07/23 16:34:36 - mmengine - INFO - Epoch(train) [99][1840/3757] lr: 1.0000e-04 eta: 0:22:33 time: 0.2301 data_time: 0.0212 memory: 6108 grad_norm: 9.0938 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2075 loss: 1.2075 2022/07/23 16:34:40 - mmengine - INFO - Epoch(train) [99][1860/3757] lr: 1.0000e-04 eta: 0:22:28 time: 0.2359 data_time: 0.0238 memory: 6108 grad_norm: 9.3824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0188 loss: 1.0188 2022/07/23 16:34:45 - mmengine - INFO - Epoch(train) [99][1880/3757] lr: 1.0000e-04 eta: 0:22:23 time: 0.2306 data_time: 0.0246 memory: 6108 grad_norm: 9.7174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1369 loss: 1.1369 2022/07/23 16:34:50 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 1.0000e-04 eta: 0:22:18 time: 0.2340 data_time: 0.0207 memory: 6108 grad_norm: 9.7218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/23 16:34:55 - mmengine - INFO - Epoch(train) [99][1920/3757] lr: 1.0000e-04 eta: 0:22:14 time: 0.2372 data_time: 0.0241 memory: 6108 grad_norm: 9.4058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9440 loss: 0.9440 2022/07/23 16:34:59 - mmengine - INFO - Epoch(train) [99][1940/3757] lr: 1.0000e-04 eta: 0:22:09 time: 0.2275 data_time: 0.0201 memory: 6108 grad_norm: 9.4360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3066 loss: 1.3066 2022/07/23 16:35:04 - mmengine - INFO - Epoch(train) [99][1960/3757] lr: 1.0000e-04 eta: 0:22:04 time: 0.2360 data_time: 0.0212 memory: 6108 grad_norm: 9.5512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/07/23 16:35:09 - mmengine - INFO - Epoch(train) [99][1980/3757] lr: 1.0000e-04 eta: 0:21:59 time: 0.2321 data_time: 0.0221 memory: 6108 grad_norm: 9.3411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/07/23 16:35:13 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 1.0000e-04 eta: 0:21:54 time: 0.2366 data_time: 0.0327 memory: 6108 grad_norm: 9.4752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/07/23 16:35:18 - mmengine - INFO - Epoch(train) [99][2020/3757] lr: 1.0000e-04 eta: 0:21:50 time: 0.2300 data_time: 0.0186 memory: 6108 grad_norm: 9.1992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1124 loss: 1.1124 2022/07/23 16:35:23 - mmengine - INFO - Epoch(train) [99][2040/3757] lr: 1.0000e-04 eta: 0:21:45 time: 0.2402 data_time: 0.0229 memory: 6108 grad_norm: 9.0152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9195 loss: 0.9195 2022/07/23 16:35:27 - mmengine - INFO - Epoch(train) [99][2060/3757] lr: 1.0000e-04 eta: 0:21:40 time: 0.2284 data_time: 0.0263 memory: 6108 grad_norm: 9.1549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/07/23 16:35:33 - mmengine - INFO - Epoch(train) [99][2080/3757] lr: 1.0000e-04 eta: 0:21:35 time: 0.2695 data_time: 0.0199 memory: 6108 grad_norm: 9.3662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1045 loss: 1.1045 2022/07/23 16:35:37 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 1.0000e-04 eta: 0:21:31 time: 0.2301 data_time: 0.0245 memory: 6108 grad_norm: 9.2830 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9659 loss: 0.9659 2022/07/23 16:35:42 - mmengine - INFO - Epoch(train) [99][2120/3757] lr: 1.0000e-04 eta: 0:21:26 time: 0.2306 data_time: 0.0216 memory: 6108 grad_norm: 9.5396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1496 loss: 1.1496 2022/07/23 16:35:47 - mmengine - INFO - Epoch(train) [99][2140/3757] lr: 1.0000e-04 eta: 0:21:21 time: 0.2338 data_time: 0.0240 memory: 6108 grad_norm: 8.9117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/07/23 16:35:52 - mmengine - INFO - Epoch(train) [99][2160/3757] lr: 1.0000e-04 eta: 0:21:16 time: 0.2620 data_time: 0.0331 memory: 6108 grad_norm: 8.9981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/07/23 16:35:57 - mmengine - INFO - Epoch(train) [99][2180/3757] lr: 1.0000e-04 eta: 0:21:12 time: 0.2316 data_time: 0.0210 memory: 6108 grad_norm: 9.6880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1484 loss: 1.1484 2022/07/23 16:36:01 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 1.0000e-04 eta: 0:21:07 time: 0.2306 data_time: 0.0180 memory: 6108 grad_norm: 9.4982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0136 loss: 1.0136 2022/07/23 16:36:06 - mmengine - INFO - Epoch(train) [99][2220/3757] lr: 1.0000e-04 eta: 0:21:02 time: 0.2312 data_time: 0.0217 memory: 6108 grad_norm: 9.7451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1958 loss: 1.1958 2022/07/23 16:36:11 - mmengine - INFO - Epoch(train) [99][2240/3757] lr: 1.0000e-04 eta: 0:20:57 time: 0.2305 data_time: 0.0235 memory: 6108 grad_norm: 9.6093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1615 loss: 1.1615 2022/07/23 16:36:16 - mmengine - INFO - Epoch(train) [99][2260/3757] lr: 1.0000e-04 eta: 0:20:52 time: 0.2411 data_time: 0.0246 memory: 6108 grad_norm: 9.5304 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/07/23 16:36:20 - mmengine - INFO - Epoch(train) [99][2280/3757] lr: 1.0000e-04 eta: 0:20:48 time: 0.2315 data_time: 0.0236 memory: 6108 grad_norm: 9.7973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9090 loss: 0.9090 2022/07/23 16:36:25 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 1.0000e-04 eta: 0:20:43 time: 0.2488 data_time: 0.0244 memory: 6108 grad_norm: 9.6771 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9185 loss: 0.9185 2022/07/23 16:36:30 - mmengine - INFO - Epoch(train) [99][2320/3757] lr: 1.0000e-04 eta: 0:20:38 time: 0.2346 data_time: 0.0281 memory: 6108 grad_norm: 9.4328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/07/23 16:36:35 - mmengine - INFO - Epoch(train) [99][2340/3757] lr: 1.0000e-04 eta: 0:20:33 time: 0.2310 data_time: 0.0233 memory: 6108 grad_norm: 9.4223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/07/23 16:36:39 - mmengine - INFO - Epoch(train) [99][2360/3757] lr: 1.0000e-04 eta: 0:20:29 time: 0.2391 data_time: 0.0278 memory: 6108 grad_norm: 9.4037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0916 loss: 1.0916 2022/07/23 16:36:44 - mmengine - INFO - Epoch(train) [99][2380/3757] lr: 1.0000e-04 eta: 0:20:24 time: 0.2453 data_time: 0.0183 memory: 6108 grad_norm: 9.8889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0771 loss: 1.0771 2022/07/23 16:36:49 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 1.0000e-04 eta: 0:20:19 time: 0.2359 data_time: 0.0220 memory: 6108 grad_norm: 9.1261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0363 loss: 1.0363 2022/07/23 16:36:54 - mmengine - INFO - Epoch(train) [99][2420/3757] lr: 1.0000e-04 eta: 0:20:14 time: 0.2382 data_time: 0.0252 memory: 6108 grad_norm: 9.1279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/07/23 16:36:59 - mmengine - INFO - Epoch(train) [99][2440/3757] lr: 1.0000e-04 eta: 0:20:10 time: 0.2314 data_time: 0.0244 memory: 6108 grad_norm: 9.8364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0397 loss: 1.0397 2022/07/23 16:37:04 - mmengine - INFO - Epoch(train) [99][2460/3757] lr: 1.0000e-04 eta: 0:20:05 time: 0.2543 data_time: 0.0295 memory: 6108 grad_norm: 9.7800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/07/23 16:37:08 - mmengine - INFO - Epoch(train) [99][2480/3757] lr: 1.0000e-04 eta: 0:20:00 time: 0.2283 data_time: 0.0211 memory: 6108 grad_norm: 9.7007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2000 loss: 1.2000 2022/07/23 16:37:13 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 1.0000e-04 eta: 0:19:55 time: 0.2372 data_time: 0.0210 memory: 6108 grad_norm: 9.1334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/07/23 16:37:18 - mmengine - INFO - Epoch(train) [99][2520/3757] lr: 1.0000e-04 eta: 0:19:50 time: 0.2344 data_time: 0.0241 memory: 6108 grad_norm: 9.1839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1884 loss: 1.1884 2022/07/23 16:37:22 - mmengine - INFO - Epoch(train) [99][2540/3757] lr: 1.0000e-04 eta: 0:19:46 time: 0.2295 data_time: 0.0218 memory: 6108 grad_norm: 9.3068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1465 loss: 1.1465 2022/07/23 16:37:27 - mmengine - INFO - Epoch(train) [99][2560/3757] lr: 1.0000e-04 eta: 0:19:41 time: 0.2311 data_time: 0.0361 memory: 6108 grad_norm: 9.4954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/07/23 16:37:32 - mmengine - INFO - Epoch(train) [99][2580/3757] lr: 1.0000e-04 eta: 0:19:36 time: 0.2425 data_time: 0.0295 memory: 6108 grad_norm: 10.4386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0830 loss: 1.0830 2022/07/23 16:37:37 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 1.0000e-04 eta: 0:19:31 time: 0.2295 data_time: 0.0234 memory: 6108 grad_norm: 9.8098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2141 loss: 1.2141 2022/07/23 16:37:41 - mmengine - INFO - Epoch(train) [99][2620/3757] lr: 1.0000e-04 eta: 0:19:27 time: 0.2304 data_time: 0.0247 memory: 6108 grad_norm: 9.1939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/07/23 16:37:46 - mmengine - INFO - Epoch(train) [99][2640/3757] lr: 1.0000e-04 eta: 0:19:22 time: 0.2298 data_time: 0.0248 memory: 6108 grad_norm: 9.3084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/23 16:37:51 - mmengine - INFO - Epoch(train) [99][2660/3757] lr: 1.0000e-04 eta: 0:19:17 time: 0.2306 data_time: 0.0284 memory: 6108 grad_norm: 9.1527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9423 loss: 0.9423 2022/07/23 16:37:55 - mmengine - INFO - Epoch(train) [99][2680/3757] lr: 1.0000e-04 eta: 0:19:12 time: 0.2374 data_time: 0.0256 memory: 6108 grad_norm: 9.7498 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0355 loss: 1.0355 2022/07/23 16:38:00 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 1.0000e-04 eta: 0:19:08 time: 0.2359 data_time: 0.0298 memory: 6108 grad_norm: 9.3142 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2798 loss: 1.2798 2022/07/23 16:38:05 - mmengine - INFO - Epoch(train) [99][2720/3757] lr: 1.0000e-04 eta: 0:19:03 time: 0.2329 data_time: 0.0201 memory: 6108 grad_norm: 9.5556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1660 loss: 1.1660 2022/07/23 16:38:09 - mmengine - INFO - Epoch(train) [99][2740/3757] lr: 1.0000e-04 eta: 0:18:58 time: 0.2299 data_time: 0.0240 memory: 6108 grad_norm: 9.5966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1884 loss: 1.1884 2022/07/23 16:38:14 - mmengine - INFO - Epoch(train) [99][2760/3757] lr: 1.0000e-04 eta: 0:18:53 time: 0.2486 data_time: 0.0233 memory: 6108 grad_norm: 9.1475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1551 loss: 1.1551 2022/07/23 16:38:19 - mmengine - INFO - Epoch(train) [99][2780/3757] lr: 1.0000e-04 eta: 0:18:48 time: 0.2312 data_time: 0.0232 memory: 6108 grad_norm: 9.4205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1407 loss: 1.1407 2022/07/23 16:38:24 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 1.0000e-04 eta: 0:18:44 time: 0.2399 data_time: 0.0250 memory: 6108 grad_norm: 9.5527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9359 loss: 0.9359 2022/07/23 16:38:27 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:38:29 - mmengine - INFO - Epoch(train) [99][2820/3757] lr: 1.0000e-04 eta: 0:18:39 time: 0.2312 data_time: 0.0241 memory: 6108 grad_norm: 9.4200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/07/23 16:38:33 - mmengine - INFO - Epoch(train) [99][2840/3757] lr: 1.0000e-04 eta: 0:18:34 time: 0.2379 data_time: 0.0186 memory: 6108 grad_norm: 9.7633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2668 loss: 1.2668 2022/07/23 16:38:38 - mmengine - INFO - Epoch(train) [99][2860/3757] lr: 1.0000e-04 eta: 0:18:29 time: 0.2309 data_time: 0.0271 memory: 6108 grad_norm: 9.1434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0349 loss: 1.0349 2022/07/23 16:38:43 - mmengine - INFO - Epoch(train) [99][2880/3757] lr: 1.0000e-04 eta: 0:18:25 time: 0.2322 data_time: 0.0260 memory: 6108 grad_norm: 9.2671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/07/23 16:38:47 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 1.0000e-04 eta: 0:18:20 time: 0.2316 data_time: 0.0182 memory: 6108 grad_norm: 9.4447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/07/23 16:38:52 - mmengine - INFO - Epoch(train) [99][2920/3757] lr: 1.0000e-04 eta: 0:18:15 time: 0.2384 data_time: 0.0213 memory: 6108 grad_norm: 9.5861 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/07/23 16:38:57 - mmengine - INFO - Epoch(train) [99][2940/3757] lr: 1.0000e-04 eta: 0:18:10 time: 0.2330 data_time: 0.0258 memory: 6108 grad_norm: 9.5819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1354 loss: 1.1354 2022/07/23 16:39:02 - mmengine - INFO - Epoch(train) [99][2960/3757] lr: 1.0000e-04 eta: 0:18:05 time: 0.2329 data_time: 0.0200 memory: 6108 grad_norm: 9.3364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/07/23 16:39:06 - mmengine - INFO - Epoch(train) [99][2980/3757] lr: 1.0000e-04 eta: 0:18:01 time: 0.2355 data_time: 0.0231 memory: 6108 grad_norm: 9.4958 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/07/23 16:39:11 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 1.0000e-04 eta: 0:17:56 time: 0.2318 data_time: 0.0230 memory: 6108 grad_norm: 9.2950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1051 loss: 1.1051 2022/07/23 16:39:16 - mmengine - INFO - Epoch(train) [99][3020/3757] lr: 1.0000e-04 eta: 0:17:51 time: 0.2317 data_time: 0.0209 memory: 6108 grad_norm: 9.3739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0334 loss: 1.0334 2022/07/23 16:39:20 - mmengine - INFO - Epoch(train) [99][3040/3757] lr: 1.0000e-04 eta: 0:17:46 time: 0.2326 data_time: 0.0283 memory: 6108 grad_norm: 9.5338 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/07/23 16:39:25 - mmengine - INFO - Epoch(train) [99][3060/3757] lr: 1.0000e-04 eta: 0:17:42 time: 0.2298 data_time: 0.0239 memory: 6108 grad_norm: 9.3942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9626 loss: 0.9626 2022/07/23 16:39:30 - mmengine - INFO - Epoch(train) [99][3080/3757] lr: 1.0000e-04 eta: 0:17:37 time: 0.2285 data_time: 0.0198 memory: 6108 grad_norm: 9.3574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/23 16:39:34 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 1.0000e-04 eta: 0:17:32 time: 0.2439 data_time: 0.0264 memory: 6108 grad_norm: 9.2892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/07/23 16:39:39 - mmengine - INFO - Epoch(train) [99][3120/3757] lr: 1.0000e-04 eta: 0:17:27 time: 0.2314 data_time: 0.0215 memory: 6108 grad_norm: 9.3173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/07/23 16:39:44 - mmengine - INFO - Epoch(train) [99][3140/3757] lr: 1.0000e-04 eta: 0:17:23 time: 0.2374 data_time: 0.0175 memory: 6108 grad_norm: 9.9415 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1273 loss: 1.1273 2022/07/23 16:39:49 - mmengine - INFO - Epoch(train) [99][3160/3757] lr: 1.0000e-04 eta: 0:17:18 time: 0.2307 data_time: 0.0215 memory: 6108 grad_norm: 9.3814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/07/23 16:39:53 - mmengine - INFO - Epoch(train) [99][3180/3757] lr: 1.0000e-04 eta: 0:17:13 time: 0.2418 data_time: 0.0244 memory: 6108 grad_norm: 9.2010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8235 loss: 0.8235 2022/07/23 16:39:58 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 1.0000e-04 eta: 0:17:08 time: 0.2296 data_time: 0.0213 memory: 6108 grad_norm: 9.3996 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1406 loss: 1.1406 2022/07/23 16:40:03 - mmengine - INFO - Epoch(train) [99][3220/3757] lr: 1.0000e-04 eta: 0:17:03 time: 0.2318 data_time: 0.0241 memory: 6108 grad_norm: 9.1127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/07/23 16:40:07 - mmengine - INFO - Epoch(train) [99][3240/3757] lr: 1.0000e-04 eta: 0:16:59 time: 0.2325 data_time: 0.0232 memory: 6108 grad_norm: 9.5892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/07/23 16:40:12 - mmengine - INFO - Epoch(train) [99][3260/3757] lr: 1.0000e-04 eta: 0:16:54 time: 0.2358 data_time: 0.0194 memory: 6108 grad_norm: 9.5387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1246 loss: 1.1246 2022/07/23 16:40:17 - mmengine - INFO - Epoch(train) [99][3280/3757] lr: 1.0000e-04 eta: 0:16:49 time: 0.2340 data_time: 0.0251 memory: 6108 grad_norm: 9.4488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/07/23 16:40:21 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 1.0000e-04 eta: 0:16:44 time: 0.2270 data_time: 0.0220 memory: 6108 grad_norm: 9.1416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1839 loss: 1.1839 2022/07/23 16:40:26 - mmengine - INFO - Epoch(train) [99][3320/3757] lr: 1.0000e-04 eta: 0:16:40 time: 0.2527 data_time: 0.0244 memory: 6108 grad_norm: 9.6442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/07/23 16:40:31 - mmengine - INFO - Epoch(train) [99][3340/3757] lr: 1.0000e-04 eta: 0:16:35 time: 0.2255 data_time: 0.0205 memory: 6108 grad_norm: 9.9797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2875 loss: 1.2875 2022/07/23 16:40:36 - mmengine - INFO - Epoch(train) [99][3360/3757] lr: 1.0000e-04 eta: 0:16:30 time: 0.2505 data_time: 0.0242 memory: 6108 grad_norm: 9.4332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1100 loss: 1.1100 2022/07/23 16:40:41 - mmengine - INFO - Epoch(train) [99][3380/3757] lr: 1.0000e-04 eta: 0:16:25 time: 0.2264 data_time: 0.0240 memory: 6108 grad_norm: 9.4964 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0667 loss: 1.0667 2022/07/23 16:40:45 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 1.0000e-04 eta: 0:16:21 time: 0.2385 data_time: 0.0267 memory: 6108 grad_norm: 9.2019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9731 loss: 0.9731 2022/07/23 16:40:50 - mmengine - INFO - Epoch(train) [99][3420/3757] lr: 1.0000e-04 eta: 0:16:16 time: 0.2299 data_time: 0.0258 memory: 6108 grad_norm: 9.1124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1551 loss: 1.1551 2022/07/23 16:40:55 - mmengine - INFO - Epoch(train) [99][3440/3757] lr: 1.0000e-04 eta: 0:16:11 time: 0.2410 data_time: 0.0235 memory: 6108 grad_norm: 9.3066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/07/23 16:41:00 - mmengine - INFO - Epoch(train) [99][3460/3757] lr: 1.0000e-04 eta: 0:16:06 time: 0.2330 data_time: 0.0250 memory: 6108 grad_norm: 9.4071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/07/23 16:41:04 - mmengine - INFO - Epoch(train) [99][3480/3757] lr: 1.0000e-04 eta: 0:16:01 time: 0.2276 data_time: 0.0280 memory: 6108 grad_norm: 9.5015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0771 loss: 1.0771 2022/07/23 16:41:09 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 1.0000e-04 eta: 0:15:57 time: 0.2305 data_time: 0.0198 memory: 6108 grad_norm: 9.4912 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/07/23 16:41:14 - mmengine - INFO - Epoch(train) [99][3520/3757] lr: 1.0000e-04 eta: 0:15:52 time: 0.2437 data_time: 0.0218 memory: 6108 grad_norm: 9.1794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/07/23 16:41:18 - mmengine - INFO - Epoch(train) [99][3540/3757] lr: 1.0000e-04 eta: 0:15:47 time: 0.2325 data_time: 0.0264 memory: 6108 grad_norm: 9.2831 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/07/23 16:41:23 - mmengine - INFO - Epoch(train) [99][3560/3757] lr: 1.0000e-04 eta: 0:15:42 time: 0.2281 data_time: 0.0184 memory: 6108 grad_norm: 9.6660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1660 loss: 1.1660 2022/07/23 16:41:28 - mmengine - INFO - Epoch(train) [99][3580/3757] lr: 1.0000e-04 eta: 0:15:38 time: 0.2317 data_time: 0.0229 memory: 6108 grad_norm: 9.8537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0413 loss: 1.0413 2022/07/23 16:41:33 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 1.0000e-04 eta: 0:15:33 time: 0.2384 data_time: 0.0272 memory: 6108 grad_norm: 9.3957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/07/23 16:41:37 - mmengine - INFO - Epoch(train) [99][3620/3757] lr: 1.0000e-04 eta: 0:15:28 time: 0.2332 data_time: 0.0229 memory: 6108 grad_norm: 9.4932 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/07/23 16:41:42 - mmengine - INFO - Epoch(train) [99][3640/3757] lr: 1.0000e-04 eta: 0:15:23 time: 0.2301 data_time: 0.0251 memory: 6108 grad_norm: 9.3861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/07/23 16:41:47 - mmengine - INFO - Epoch(train) [99][3660/3757] lr: 1.0000e-04 eta: 0:15:19 time: 0.2330 data_time: 0.0255 memory: 6108 grad_norm: 9.3532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0471 loss: 1.0471 2022/07/23 16:41:51 - mmengine - INFO - Epoch(train) [99][3680/3757] lr: 1.0000e-04 eta: 0:15:14 time: 0.2291 data_time: 0.0199 memory: 6108 grad_norm: 9.6787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0912 loss: 1.0912 2022/07/23 16:41:56 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 1.0000e-04 eta: 0:15:09 time: 0.2441 data_time: 0.0257 memory: 6108 grad_norm: 9.1810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1487 loss: 1.1487 2022/07/23 16:42:01 - mmengine - INFO - Epoch(train) [99][3720/3757] lr: 1.0000e-04 eta: 0:15:04 time: 0.2344 data_time: 0.0275 memory: 6108 grad_norm: 9.6316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0358 loss: 1.0358 2022/07/23 16:42:06 - mmengine - INFO - Epoch(train) [99][3740/3757] lr: 1.0000e-04 eta: 0:14:59 time: 0.2361 data_time: 0.0210 memory: 6108 grad_norm: 9.4213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/07/23 16:42:09 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:42:09 - mmengine - INFO - Epoch(train) [99][3757/3757] lr: 1.0000e-04 eta: 0:14:59 time: 0.1987 data_time: 0.0182 memory: 6108 grad_norm: 9.5964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2349 loss: 1.2349 2022/07/23 16:42:14 - mmengine - INFO - Epoch(val) [99][20/310] eta: 0:01:19 time: 0.2740 data_time: 0.1975 memory: 1428 2022/07/23 16:42:18 - mmengine - INFO - Epoch(val) [99][40/310] eta: 0:00:47 time: 0.1760 data_time: 0.0999 memory: 1428 2022/07/23 16:42:23 - mmengine - INFO - Epoch(val) [99][60/310] eta: 0:00:58 time: 0.2325 data_time: 0.1578 memory: 1428 2022/07/23 16:42:27 - mmengine - INFO - Epoch(val) [99][80/310] eta: 0:00:47 time: 0.2081 data_time: 0.1302 memory: 1428 2022/07/23 16:42:31 - mmengine - INFO - Epoch(val) [99][100/310] eta: 0:00:44 time: 0.2141 data_time: 0.1391 memory: 1428 2022/07/23 16:42:35 - mmengine - INFO - Epoch(val) [99][120/310] eta: 0:00:39 time: 0.2068 data_time: 0.1206 memory: 1428 2022/07/23 16:42:40 - mmengine - INFO - Epoch(val) [99][140/310] eta: 0:00:44 time: 0.2604 data_time: 0.1854 memory: 1428 2022/07/23 16:42:44 - mmengine - INFO - Epoch(val) [99][160/310] eta: 0:00:28 time: 0.1915 data_time: 0.1147 memory: 1428 2022/07/23 16:42:49 - mmengine - INFO - Epoch(val) [99][180/310] eta: 0:00:31 time: 0.2405 data_time: 0.1657 memory: 1428 2022/07/23 16:42:53 - mmengine - INFO - Epoch(val) [99][200/310] eta: 0:00:20 time: 0.1840 data_time: 0.1062 memory: 1428 2022/07/23 16:42:57 - mmengine - INFO - Epoch(val) [99][220/310] eta: 0:00:20 time: 0.2291 data_time: 0.1521 memory: 1428 2022/07/23 16:43:01 - mmengine - INFO - Epoch(val) [99][240/310] eta: 0:00:13 time: 0.1972 data_time: 0.1221 memory: 1428 2022/07/23 16:43:07 - mmengine - INFO - Epoch(val) [99][260/310] eta: 0:00:13 time: 0.2635 data_time: 0.1867 memory: 1428 2022/07/23 16:43:10 - mmengine - INFO - Epoch(val) [99][280/310] eta: 0:00:05 time: 0.1938 data_time: 0.1195 memory: 1428 2022/07/23 16:43:15 - mmengine - INFO - Epoch(val) [99][300/310] eta: 0:00:02 time: 0.2176 data_time: 0.1465 memory: 1428 2022/07/23 16:43:18 - mmengine - INFO - Epoch(val) [99][310/310] acc/top1: 0.6670 acc/top5: 0.8677 acc/mean1: 0.6668 2022/07/23 16:43:24 - mmengine - INFO - Epoch(train) [100][20/3757] lr: 1.0000e-04 eta: 0:14:51 time: 0.3242 data_time: 0.0898 memory: 6108 grad_norm: 9.2386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/07/23 16:43:29 - mmengine - INFO - Epoch(train) [100][40/3757] lr: 1.0000e-04 eta: 0:14:46 time: 0.2304 data_time: 0.0213 memory: 6108 grad_norm: 9.4861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/07/23 16:43:33 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:43:34 - mmengine - INFO - Epoch(train) [100][60/3757] lr: 1.0000e-04 eta: 0:14:41 time: 0.2574 data_time: 0.0240 memory: 6108 grad_norm: 9.4020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2505 loss: 1.2505 2022/07/23 16:43:39 - mmengine - INFO - Epoch(train) [100][80/3757] lr: 1.0000e-04 eta: 0:14:36 time: 0.2238 data_time: 0.0209 memory: 6108 grad_norm: 9.5182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0937 loss: 1.0937 2022/07/23 16:43:43 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 1.0000e-04 eta: 0:14:32 time: 0.2320 data_time: 0.0197 memory: 6108 grad_norm: 9.7370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/07/23 16:43:48 - mmengine - INFO - Epoch(train) [100][120/3757] lr: 1.0000e-04 eta: 0:14:27 time: 0.2320 data_time: 0.0230 memory: 6108 grad_norm: 9.9037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/07/23 16:43:53 - mmengine - INFO - Epoch(train) [100][140/3757] lr: 1.0000e-04 eta: 0:14:22 time: 0.2356 data_time: 0.0215 memory: 6108 grad_norm: 9.4945 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/07/23 16:43:57 - mmengine - INFO - Epoch(train) [100][160/3757] lr: 1.0000e-04 eta: 0:14:17 time: 0.2292 data_time: 0.0206 memory: 6108 grad_norm: 9.5188 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2632 loss: 1.2632 2022/07/23 16:44:02 - mmengine - INFO - Epoch(train) [100][180/3757] lr: 1.0000e-04 eta: 0:14:12 time: 0.2314 data_time: 0.0262 memory: 6108 grad_norm: 9.3642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/07/23 16:44:07 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 1.0000e-04 eta: 0:14:08 time: 0.2305 data_time: 0.0204 memory: 6108 grad_norm: 9.6051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2255 loss: 1.2255 2022/07/23 16:44:11 - mmengine - INFO - Epoch(train) [100][220/3757] lr: 1.0000e-04 eta: 0:14:03 time: 0.2375 data_time: 0.0248 memory: 6108 grad_norm: 9.4140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/07/23 16:44:16 - mmengine - INFO - Epoch(train) [100][240/3757] lr: 1.0000e-04 eta: 0:13:58 time: 0.2349 data_time: 0.0223 memory: 6108 grad_norm: 9.1934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/23 16:44:21 - mmengine - INFO - Epoch(train) [100][260/3757] lr: 1.0000e-04 eta: 0:13:53 time: 0.2373 data_time: 0.0243 memory: 6108 grad_norm: 9.6969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/07/23 16:44:26 - mmengine - INFO - Epoch(train) [100][280/3757] lr: 1.0000e-04 eta: 0:13:49 time: 0.2361 data_time: 0.0187 memory: 6108 grad_norm: 9.2043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/07/23 16:44:30 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 1.0000e-04 eta: 0:13:44 time: 0.2311 data_time: 0.0237 memory: 6108 grad_norm: 9.1715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/07/23 16:44:35 - mmengine - INFO - Epoch(train) [100][320/3757] lr: 1.0000e-04 eta: 0:13:39 time: 0.2301 data_time: 0.0251 memory: 6108 grad_norm: 9.6862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9896 loss: 0.9896 2022/07/23 16:44:40 - mmengine - INFO - Epoch(train) [100][340/3757] lr: 1.0000e-04 eta: 0:13:34 time: 0.2260 data_time: 0.0192 memory: 6108 grad_norm: 9.4740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8720 loss: 0.8720 2022/07/23 16:44:44 - mmengine - INFO - Epoch(train) [100][360/3757] lr: 1.0000e-04 eta: 0:13:30 time: 0.2318 data_time: 0.0337 memory: 6108 grad_norm: 9.2214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8723 loss: 0.8723 2022/07/23 16:44:49 - mmengine - INFO - Epoch(train) [100][380/3757] lr: 1.0000e-04 eta: 0:13:25 time: 0.2438 data_time: 0.0181 memory: 6108 grad_norm: 9.3549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0753 loss: 1.0753 2022/07/23 16:44:54 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 1.0000e-04 eta: 0:13:20 time: 0.2335 data_time: 0.0184 memory: 6108 grad_norm: 9.3557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/07/23 16:44:59 - mmengine - INFO - Epoch(train) [100][420/3757] lr: 1.0000e-04 eta: 0:13:15 time: 0.2337 data_time: 0.0235 memory: 6108 grad_norm: 9.7640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8975 loss: 0.8975 2022/07/23 16:45:03 - mmengine - INFO - Epoch(train) [100][440/3757] lr: 1.0000e-04 eta: 0:13:10 time: 0.2336 data_time: 0.0247 memory: 6108 grad_norm: 9.8764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2925 loss: 1.2925 2022/07/23 16:45:08 - mmengine - INFO - Epoch(train) [100][460/3757] lr: 1.0000e-04 eta: 0:13:06 time: 0.2273 data_time: 0.0204 memory: 6108 grad_norm: 9.5239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0110 loss: 1.0110 2022/07/23 16:45:13 - mmengine - INFO - Epoch(train) [100][480/3757] lr: 1.0000e-04 eta: 0:13:01 time: 0.2371 data_time: 0.0257 memory: 6108 grad_norm: 9.4599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/07/23 16:45:17 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 1.0000e-04 eta: 0:12:56 time: 0.2339 data_time: 0.0222 memory: 6108 grad_norm: 9.5077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0365 loss: 1.0365 2022/07/23 16:45:22 - mmengine - INFO - Epoch(train) [100][520/3757] lr: 1.0000e-04 eta: 0:12:51 time: 0.2277 data_time: 0.0242 memory: 6108 grad_norm: 9.2151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/07/23 16:45:27 - mmengine - INFO - Epoch(train) [100][540/3757] lr: 1.0000e-04 eta: 0:12:47 time: 0.2310 data_time: 0.0289 memory: 6108 grad_norm: 9.4801 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/07/23 16:45:31 - mmengine - INFO - Epoch(train) [100][560/3757] lr: 1.0000e-04 eta: 0:12:42 time: 0.2301 data_time: 0.0190 memory: 6108 grad_norm: 9.7129 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3357 loss: 1.3357 2022/07/23 16:45:36 - mmengine - INFO - Epoch(train) [100][580/3757] lr: 1.0000e-04 eta: 0:12:37 time: 0.2393 data_time: 0.0190 memory: 6108 grad_norm: 9.7401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1028 loss: 1.1028 2022/07/23 16:45:41 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 1.0000e-04 eta: 0:12:32 time: 0.2289 data_time: 0.0212 memory: 6108 grad_norm: 9.8051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/07/23 16:45:45 - mmengine - INFO - Epoch(train) [100][620/3757] lr: 1.0000e-04 eta: 0:12:28 time: 0.2290 data_time: 0.0217 memory: 6108 grad_norm: 9.5504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/07/23 16:45:50 - mmengine - INFO - Epoch(train) [100][640/3757] lr: 1.0000e-04 eta: 0:12:23 time: 0.2280 data_time: 0.0233 memory: 6108 grad_norm: 9.7364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1111 loss: 1.1111 2022/07/23 16:45:55 - mmengine - INFO - Epoch(train) [100][660/3757] lr: 1.0000e-04 eta: 0:12:18 time: 0.2593 data_time: 0.0202 memory: 6108 grad_norm: 9.4607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/07/23 16:46:00 - mmengine - INFO - Epoch(train) [100][680/3757] lr: 1.0000e-04 eta: 0:12:13 time: 0.2301 data_time: 0.0188 memory: 6108 grad_norm: 9.6304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1791 loss: 1.1791 2022/07/23 16:46:04 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 1.0000e-04 eta: 0:12:08 time: 0.2326 data_time: 0.0193 memory: 6108 grad_norm: 9.6383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3340 loss: 1.3340 2022/07/23 16:46:09 - mmengine - INFO - Epoch(train) [100][720/3757] lr: 1.0000e-04 eta: 0:12:04 time: 0.2345 data_time: 0.0346 memory: 6108 grad_norm: 9.2316 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9982 loss: 0.9982 2022/07/23 16:46:14 - mmengine - INFO - Epoch(train) [100][740/3757] lr: 1.0000e-04 eta: 0:11:59 time: 0.2350 data_time: 0.0242 memory: 6108 grad_norm: 9.6153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9852 loss: 0.9852 2022/07/23 16:46:18 - mmengine - INFO - Epoch(train) [100][760/3757] lr: 1.0000e-04 eta: 0:11:54 time: 0.2290 data_time: 0.0192 memory: 6108 grad_norm: 9.5047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/07/23 16:46:23 - mmengine - INFO - Epoch(train) [100][780/3757] lr: 1.0000e-04 eta: 0:11:49 time: 0.2295 data_time: 0.0239 memory: 6108 grad_norm: 9.5676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0504 loss: 1.0504 2022/07/23 16:46:28 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 1.0000e-04 eta: 0:11:45 time: 0.2571 data_time: 0.0248 memory: 6108 grad_norm: 9.5065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2585 loss: 1.2585 2022/07/23 16:46:33 - mmengine - INFO - Epoch(train) [100][820/3757] lr: 1.0000e-04 eta: 0:11:40 time: 0.2333 data_time: 0.0177 memory: 6108 grad_norm: 9.7592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1454 loss: 1.1454 2022/07/23 16:46:38 - mmengine - INFO - Epoch(train) [100][840/3757] lr: 1.0000e-04 eta: 0:11:35 time: 0.2309 data_time: 0.0231 memory: 6108 grad_norm: 9.5405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9252 loss: 0.9252 2022/07/23 16:46:42 - mmengine - INFO - Epoch(train) [100][860/3757] lr: 1.0000e-04 eta: 0:11:30 time: 0.2345 data_time: 0.0229 memory: 6108 grad_norm: 9.6769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2206 loss: 1.2206 2022/07/23 16:46:47 - mmengine - INFO - Epoch(train) [100][880/3757] lr: 1.0000e-04 eta: 0:11:26 time: 0.2333 data_time: 0.0232 memory: 6108 grad_norm: 9.5627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1391 loss: 1.1391 2022/07/23 16:46:52 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 1.0000e-04 eta: 0:11:21 time: 0.2314 data_time: 0.0233 memory: 6108 grad_norm: 9.4898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/07/23 16:46:56 - mmengine - INFO - Epoch(train) [100][920/3757] lr: 1.0000e-04 eta: 0:11:16 time: 0.2377 data_time: 0.0234 memory: 6108 grad_norm: 9.7141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1689 loss: 1.1689 2022/07/23 16:47:01 - mmengine - INFO - Epoch(train) [100][940/3757] lr: 1.0000e-04 eta: 0:11:11 time: 0.2289 data_time: 0.0296 memory: 6108 grad_norm: 9.8637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3323 loss: 1.3323 2022/07/23 16:47:06 - mmengine - INFO - Epoch(train) [100][960/3757] lr: 1.0000e-04 eta: 0:11:06 time: 0.2346 data_time: 0.0280 memory: 6108 grad_norm: 9.5232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4119 loss: 1.4119 2022/07/23 16:47:11 - mmengine - INFO - Epoch(train) [100][980/3757] lr: 1.0000e-04 eta: 0:11:02 time: 0.2331 data_time: 0.0252 memory: 6108 grad_norm: 9.8563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1672 loss: 1.1672 2022/07/23 16:47:15 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 1.0000e-04 eta: 0:10:57 time: 0.2362 data_time: 0.0238 memory: 6108 grad_norm: 9.5019 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2928 loss: 1.2928 2022/07/23 16:47:20 - mmengine - INFO - Epoch(train) [100][1020/3757] lr: 1.0000e-04 eta: 0:10:52 time: 0.2549 data_time: 0.0572 memory: 6108 grad_norm: 9.3219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1559 loss: 1.1559 2022/07/23 16:47:25 - mmengine - INFO - Epoch(train) [100][1040/3757] lr: 1.0000e-04 eta: 0:10:47 time: 0.2346 data_time: 0.0190 memory: 6108 grad_norm: 9.2236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/07/23 16:47:29 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:47:30 - mmengine - INFO - Epoch(train) [100][1060/3757] lr: 1.0000e-04 eta: 0:10:43 time: 0.2334 data_time: 0.0243 memory: 6108 grad_norm: 8.9141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9564 loss: 0.9564 2022/07/23 16:47:35 - mmengine - INFO - Epoch(train) [100][1080/3757] lr: 1.0000e-04 eta: 0:10:38 time: 0.2374 data_time: 0.0215 memory: 6108 grad_norm: 9.2872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/07/23 16:47:39 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 1.0000e-04 eta: 0:10:33 time: 0.2345 data_time: 0.0226 memory: 6108 grad_norm: 9.3481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1575 loss: 1.1575 2022/07/23 16:47:44 - mmengine - INFO - Epoch(train) [100][1120/3757] lr: 1.0000e-04 eta: 0:10:28 time: 0.2321 data_time: 0.0268 memory: 6108 grad_norm: 9.7467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1863 loss: 1.1863 2022/07/23 16:47:49 - mmengine - INFO - Epoch(train) [100][1140/3757] lr: 1.0000e-04 eta: 0:10:24 time: 0.2346 data_time: 0.0244 memory: 6108 grad_norm: 9.6556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0427 loss: 1.0427 2022/07/23 16:47:53 - mmengine - INFO - Epoch(train) [100][1160/3757] lr: 1.0000e-04 eta: 0:10:19 time: 0.2334 data_time: 0.0239 memory: 6108 grad_norm: 9.3054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3497 loss: 1.3497 2022/07/23 16:47:58 - mmengine - INFO - Epoch(train) [100][1180/3757] lr: 1.0000e-04 eta: 0:10:14 time: 0.2380 data_time: 0.0239 memory: 6108 grad_norm: 9.3468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1079 loss: 1.1079 2022/07/23 16:48:03 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 1.0000e-04 eta: 0:10:09 time: 0.2314 data_time: 0.0204 memory: 6108 grad_norm: 9.7322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/07/23 16:48:08 - mmengine - INFO - Epoch(train) [100][1220/3757] lr: 1.0000e-04 eta: 0:10:04 time: 0.2441 data_time: 0.0288 memory: 6108 grad_norm: 9.2512 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1491 loss: 1.1491 2022/07/23 16:48:12 - mmengine - INFO - Epoch(train) [100][1240/3757] lr: 1.0000e-04 eta: 0:10:00 time: 0.2280 data_time: 0.0287 memory: 6108 grad_norm: 9.6753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1796 loss: 1.1796 2022/07/23 16:48:17 - mmengine - INFO - Epoch(train) [100][1260/3757] lr: 1.0000e-04 eta: 0:09:55 time: 0.2368 data_time: 0.0280 memory: 6108 grad_norm: 9.4715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0952 loss: 1.0952 2022/07/23 16:48:22 - mmengine - INFO - Epoch(train) [100][1280/3757] lr: 1.0000e-04 eta: 0:09:50 time: 0.2341 data_time: 0.0276 memory: 6108 grad_norm: 9.4525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/07/23 16:48:27 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 1.0000e-04 eta: 0:09:45 time: 0.2291 data_time: 0.0224 memory: 6108 grad_norm: 9.1292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/07/23 16:48:31 - mmengine - INFO - Epoch(train) [100][1320/3757] lr: 1.0000e-04 eta: 0:09:41 time: 0.2335 data_time: 0.0232 memory: 6108 grad_norm: 9.3211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/07/23 16:48:36 - mmengine - INFO - Epoch(train) [100][1340/3757] lr: 1.0000e-04 eta: 0:09:36 time: 0.2333 data_time: 0.0207 memory: 6108 grad_norm: 9.5556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1178 loss: 1.1178 2022/07/23 16:48:41 - mmengine - INFO - Epoch(train) [100][1360/3757] lr: 1.0000e-04 eta: 0:09:31 time: 0.2348 data_time: 0.0219 memory: 6108 grad_norm: 9.2972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8633 loss: 0.8633 2022/07/23 16:48:45 - mmengine - INFO - Epoch(train) [100][1380/3757] lr: 1.0000e-04 eta: 0:09:26 time: 0.2374 data_time: 0.0255 memory: 6108 grad_norm: 9.6398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9041 loss: 0.9041 2022/07/23 16:48:50 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 1.0000e-04 eta: 0:09:21 time: 0.2315 data_time: 0.0238 memory: 6108 grad_norm: 9.4914 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1557 loss: 1.1557 2022/07/23 16:48:55 - mmengine - INFO - Epoch(train) [100][1420/3757] lr: 1.0000e-04 eta: 0:09:17 time: 0.2390 data_time: 0.0297 memory: 6108 grad_norm: 9.3875 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4305 loss: 1.4305 2022/07/23 16:49:00 - mmengine - INFO - Epoch(train) [100][1440/3757] lr: 1.0000e-04 eta: 0:09:12 time: 0.2366 data_time: 0.0273 memory: 6108 grad_norm: 9.8448 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2026 loss: 1.2026 2022/07/23 16:49:04 - mmengine - INFO - Epoch(train) [100][1460/3757] lr: 1.0000e-04 eta: 0:09:07 time: 0.2353 data_time: 0.0261 memory: 6108 grad_norm: 9.2874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9317 loss: 0.9317 2022/07/23 16:49:09 - mmengine - INFO - Epoch(train) [100][1480/3757] lr: 1.0000e-04 eta: 0:09:02 time: 0.2260 data_time: 0.0205 memory: 6108 grad_norm: 9.6670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2006 loss: 1.2006 2022/07/23 16:49:14 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 1.0000e-04 eta: 0:08:58 time: 0.2411 data_time: 0.0298 memory: 6108 grad_norm: 9.5286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/07/23 16:49:18 - mmengine - INFO - Epoch(train) [100][1520/3757] lr: 1.0000e-04 eta: 0:08:53 time: 0.2299 data_time: 0.0259 memory: 6108 grad_norm: 9.2614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/07/23 16:49:23 - mmengine - INFO - Epoch(train) [100][1540/3757] lr: 1.0000e-04 eta: 0:08:48 time: 0.2352 data_time: 0.0229 memory: 6108 grad_norm: 9.1054 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0957 loss: 1.0957 2022/07/23 16:49:28 - mmengine - INFO - Epoch(train) [100][1560/3757] lr: 1.0000e-04 eta: 0:08:43 time: 0.2331 data_time: 0.0266 memory: 6108 grad_norm: 9.2682 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/07/23 16:49:33 - mmengine - INFO - Epoch(train) [100][1580/3757] lr: 1.0000e-04 eta: 0:08:39 time: 0.2588 data_time: 0.0234 memory: 6108 grad_norm: 9.2115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1374 loss: 1.1374 2022/07/23 16:49:38 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 1.0000e-04 eta: 0:08:34 time: 0.2282 data_time: 0.0235 memory: 6108 grad_norm: 9.4314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/07/23 16:49:42 - mmengine - INFO - Epoch(train) [100][1620/3757] lr: 1.0000e-04 eta: 0:08:29 time: 0.2322 data_time: 0.0259 memory: 6108 grad_norm: 9.3982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0928 loss: 1.0928 2022/07/23 16:49:47 - mmengine - INFO - Epoch(train) [100][1640/3757] lr: 1.0000e-04 eta: 0:08:24 time: 0.2345 data_time: 0.0225 memory: 6108 grad_norm: 9.2212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9819 loss: 0.9819 2022/07/23 16:49:52 - mmengine - INFO - Epoch(train) [100][1660/3757] lr: 1.0000e-04 eta: 0:08:20 time: 0.2350 data_time: 0.0191 memory: 6108 grad_norm: 9.4356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9235 loss: 0.9235 2022/07/23 16:49:57 - mmengine - INFO - Epoch(train) [100][1680/3757] lr: 1.0000e-04 eta: 0:08:15 time: 0.2348 data_time: 0.0271 memory: 6108 grad_norm: 9.6400 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1671 loss: 1.1671 2022/07/23 16:50:01 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 1.0000e-04 eta: 0:08:10 time: 0.2310 data_time: 0.0259 memory: 6108 grad_norm: 9.2225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1834 loss: 1.1834 2022/07/23 16:50:06 - mmengine - INFO - Epoch(train) [100][1720/3757] lr: 1.0000e-04 eta: 0:08:05 time: 0.2565 data_time: 0.0248 memory: 6108 grad_norm: 9.4002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0004 loss: 1.0004 2022/07/23 16:50:11 - mmengine - INFO - Epoch(train) [100][1740/3757] lr: 1.0000e-04 eta: 0:08:00 time: 0.2364 data_time: 0.0263 memory: 6108 grad_norm: 9.6172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2229 loss: 1.2229 2022/07/23 16:50:16 - mmengine - INFO - Epoch(train) [100][1760/3757] lr: 1.0000e-04 eta: 0:07:56 time: 0.2345 data_time: 0.0228 memory: 6108 grad_norm: 9.7764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/07/23 16:50:21 - mmengine - INFO - Epoch(train) [100][1780/3757] lr: 1.0000e-04 eta: 0:07:51 time: 0.2312 data_time: 0.0271 memory: 6108 grad_norm: 9.4232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/07/23 16:50:25 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 1.0000e-04 eta: 0:07:46 time: 0.2309 data_time: 0.0207 memory: 6108 grad_norm: 9.4486 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1214 loss: 1.1214 2022/07/23 16:50:30 - mmengine - INFO - Epoch(train) [100][1820/3757] lr: 1.0000e-04 eta: 0:07:41 time: 0.2431 data_time: 0.0188 memory: 6108 grad_norm: 9.7346 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0513 loss: 1.0513 2022/07/23 16:50:35 - mmengine - INFO - Epoch(train) [100][1840/3757] lr: 1.0000e-04 eta: 0:07:37 time: 0.2383 data_time: 0.0240 memory: 6108 grad_norm: 9.4402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0329 loss: 1.0329 2022/07/23 16:50:40 - mmengine - INFO - Epoch(train) [100][1860/3757] lr: 1.0000e-04 eta: 0:07:32 time: 0.2408 data_time: 0.0326 memory: 6108 grad_norm: 9.8784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1048 loss: 1.1048 2022/07/23 16:50:44 - mmengine - INFO - Epoch(train) [100][1880/3757] lr: 1.0000e-04 eta: 0:07:27 time: 0.2342 data_time: 0.0201 memory: 6108 grad_norm: 9.3023 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9114 loss: 0.9114 2022/07/23 16:50:49 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 1.0000e-04 eta: 0:07:22 time: 0.2293 data_time: 0.0201 memory: 6108 grad_norm: 9.3074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/07/23 16:50:54 - mmengine - INFO - Epoch(train) [100][1920/3757] lr: 1.0000e-04 eta: 0:07:18 time: 0.2401 data_time: 0.0280 memory: 6108 grad_norm: 9.9313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1001 loss: 1.1001 2022/07/23 16:50:59 - mmengine - INFO - Epoch(train) [100][1940/3757] lr: 1.0000e-04 eta: 0:07:13 time: 0.2329 data_time: 0.0193 memory: 6108 grad_norm: 9.4942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2676 loss: 1.2676 2022/07/23 16:51:03 - mmengine - INFO - Epoch(train) [100][1960/3757] lr: 1.0000e-04 eta: 0:07:08 time: 0.2331 data_time: 0.0217 memory: 6108 grad_norm: 9.6902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9712 loss: 0.9712 2022/07/23 16:51:08 - mmengine - INFO - Epoch(train) [100][1980/3757] lr: 1.0000e-04 eta: 0:07:03 time: 0.2375 data_time: 0.0276 memory: 6108 grad_norm: 9.5408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2542 loss: 1.2542 2022/07/23 16:51:13 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 1.0000e-04 eta: 0:06:58 time: 0.2439 data_time: 0.0218 memory: 6108 grad_norm: 9.6125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/07/23 16:51:18 - mmengine - INFO - Epoch(train) [100][2020/3757] lr: 1.0000e-04 eta: 0:06:54 time: 0.2304 data_time: 0.0220 memory: 6108 grad_norm: 9.5834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1943 loss: 1.1943 2022/07/23 16:51:22 - mmengine - INFO - Epoch(train) [100][2040/3757] lr: 1.0000e-04 eta: 0:06:49 time: 0.2316 data_time: 0.0239 memory: 6108 grad_norm: 9.6348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1184 loss: 1.1184 2022/07/23 16:51:26 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:51:27 - mmengine - INFO - Epoch(train) [100][2060/3757] lr: 1.0000e-04 eta: 0:06:44 time: 0.2351 data_time: 0.0247 memory: 6108 grad_norm: 9.7187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1114 loss: 1.1114 2022/07/23 16:51:32 - mmengine - INFO - Epoch(train) [100][2080/3757] lr: 1.0000e-04 eta: 0:06:39 time: 0.2312 data_time: 0.0174 memory: 6108 grad_norm: 9.6310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1003 loss: 1.1003 2022/07/23 16:51:37 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 1.0000e-04 eta: 0:06:35 time: 0.2430 data_time: 0.0265 memory: 6108 grad_norm: 9.3211 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/07/23 16:51:41 - mmengine - INFO - Epoch(train) [100][2120/3757] lr: 1.0000e-04 eta: 0:06:30 time: 0.2343 data_time: 0.0189 memory: 6108 grad_norm: 9.3900 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1316 loss: 1.1316 2022/07/23 16:51:46 - mmengine - INFO - Epoch(train) [100][2140/3757] lr: 1.0000e-04 eta: 0:06:25 time: 0.2319 data_time: 0.0205 memory: 6108 grad_norm: 9.3734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2377 loss: 1.2377 2022/07/23 16:51:51 - mmengine - INFO - Epoch(train) [100][2160/3757] lr: 1.0000e-04 eta: 0:06:20 time: 0.2445 data_time: 0.0255 memory: 6108 grad_norm: 9.7588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1374 loss: 1.1374 2022/07/23 16:51:56 - mmengine - INFO - Epoch(train) [100][2180/3757] lr: 1.0000e-04 eta: 0:06:16 time: 0.2312 data_time: 0.0228 memory: 6108 grad_norm: 9.5575 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2444 loss: 1.2444 2022/07/23 16:52:00 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 1.0000e-04 eta: 0:06:11 time: 0.2313 data_time: 0.0213 memory: 6108 grad_norm: 9.2841 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2902 loss: 1.2902 2022/07/23 16:52:05 - mmengine - INFO - Epoch(train) [100][2220/3757] lr: 1.0000e-04 eta: 0:06:06 time: 0.2428 data_time: 0.0240 memory: 6108 grad_norm: 9.1120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/07/23 16:52:10 - mmengine - INFO - Epoch(train) [100][2240/3757] lr: 1.0000e-04 eta: 0:06:01 time: 0.2322 data_time: 0.0244 memory: 6108 grad_norm: 9.9332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/07/23 16:52:15 - mmengine - INFO - Epoch(train) [100][2260/3757] lr: 1.0000e-04 eta: 0:05:56 time: 0.2406 data_time: 0.0243 memory: 6108 grad_norm: 9.6166 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1347 loss: 1.1347 2022/07/23 16:52:19 - mmengine - INFO - Epoch(train) [100][2280/3757] lr: 1.0000e-04 eta: 0:05:52 time: 0.2301 data_time: 0.0237 memory: 6108 grad_norm: 9.8391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/07/23 16:52:24 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 1.0000e-04 eta: 0:05:47 time: 0.2423 data_time: 0.0179 memory: 6108 grad_norm: 9.4544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0649 loss: 1.0649 2022/07/23 16:52:29 - mmengine - INFO - Epoch(train) [100][2320/3757] lr: 1.0000e-04 eta: 0:05:42 time: 0.2391 data_time: 0.0249 memory: 6108 grad_norm: 9.8291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1429 loss: 1.1429 2022/07/23 16:52:34 - mmengine - INFO - Epoch(train) [100][2340/3757] lr: 1.0000e-04 eta: 0:05:37 time: 0.2466 data_time: 0.0225 memory: 6108 grad_norm: 10.0058 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3975 loss: 1.3975 2022/07/23 16:52:39 - mmengine - INFO - Epoch(train) [100][2360/3757] lr: 1.0000e-04 eta: 0:05:33 time: 0.2297 data_time: 0.0272 memory: 6108 grad_norm: 9.7353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/07/23 16:52:43 - mmengine - INFO - Epoch(train) [100][2380/3757] lr: 1.0000e-04 eta: 0:05:28 time: 0.2287 data_time: 0.0217 memory: 6108 grad_norm: 9.3306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/07/23 16:52:48 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 1.0000e-04 eta: 0:05:23 time: 0.2307 data_time: 0.0221 memory: 6108 grad_norm: 9.3888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/07/23 16:52:53 - mmengine - INFO - Epoch(train) [100][2420/3757] lr: 1.0000e-04 eta: 0:05:18 time: 0.2672 data_time: 0.0269 memory: 6108 grad_norm: 9.4288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2050 loss: 1.2050 2022/07/23 16:52:58 - mmengine - INFO - Epoch(train) [100][2440/3757] lr: 1.0000e-04 eta: 0:05:14 time: 0.2229 data_time: 0.0242 memory: 6108 grad_norm: 10.1587 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/07/23 16:53:02 - mmengine - INFO - Epoch(train) [100][2460/3757] lr: 1.0000e-04 eta: 0:05:09 time: 0.2335 data_time: 0.0218 memory: 6108 grad_norm: 9.4735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3432 loss: 1.3432 2022/07/23 16:53:07 - mmengine - INFO - Epoch(train) [100][2480/3757] lr: 1.0000e-04 eta: 0:05:04 time: 0.2330 data_time: 0.0220 memory: 6108 grad_norm: 9.5538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3408 loss: 1.3408 2022/07/23 16:53:12 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 1.0000e-04 eta: 0:04:59 time: 0.2357 data_time: 0.0267 memory: 6108 grad_norm: 9.7885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3609 loss: 1.3609 2022/07/23 16:53:17 - mmengine - INFO - Epoch(train) [100][2520/3757] lr: 1.0000e-04 eta: 0:04:54 time: 0.2409 data_time: 0.0214 memory: 6108 grad_norm: 9.4859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/23 16:53:21 - mmengine - INFO - Epoch(train) [100][2540/3757] lr: 1.0000e-04 eta: 0:04:50 time: 0.2368 data_time: 0.0225 memory: 6108 grad_norm: 9.6879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1037 loss: 1.1037 2022/07/23 16:53:26 - mmengine - INFO - Epoch(train) [100][2560/3757] lr: 1.0000e-04 eta: 0:04:45 time: 0.2339 data_time: 0.0278 memory: 6108 grad_norm: 9.4347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1367 loss: 1.1367 2022/07/23 16:53:31 - mmengine - INFO - Epoch(train) [100][2580/3757] lr: 1.0000e-04 eta: 0:04:40 time: 0.2336 data_time: 0.0193 memory: 6108 grad_norm: 9.4928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1242 loss: 1.1242 2022/07/23 16:53:36 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 1.0000e-04 eta: 0:04:35 time: 0.2465 data_time: 0.0237 memory: 6108 grad_norm: 9.8249 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0189 loss: 1.0189 2022/07/23 16:53:41 - mmengine - INFO - Epoch(train) [100][2620/3757] lr: 1.0000e-04 eta: 0:04:31 time: 0.2336 data_time: 0.0274 memory: 6108 grad_norm: 9.5462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2841 loss: 1.2841 2022/07/23 16:53:45 - mmengine - INFO - Epoch(train) [100][2640/3757] lr: 1.0000e-04 eta: 0:04:26 time: 0.2316 data_time: 0.0232 memory: 6108 grad_norm: 9.4336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0408 loss: 1.0408 2022/07/23 16:53:50 - mmengine - INFO - Epoch(train) [100][2660/3757] lr: 1.0000e-04 eta: 0:04:21 time: 0.2304 data_time: 0.0202 memory: 6108 grad_norm: 9.6618 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1049 loss: 1.1049 2022/07/23 16:53:55 - mmengine - INFO - Epoch(train) [100][2680/3757] lr: 1.0000e-04 eta: 0:04:16 time: 0.2365 data_time: 0.0238 memory: 6108 grad_norm: 9.3277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9674 loss: 0.9674 2022/07/23 16:53:59 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 1.0000e-04 eta: 0:04:12 time: 0.2371 data_time: 0.0212 memory: 6108 grad_norm: 9.7912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1149 loss: 1.1149 2022/07/23 16:54:04 - mmengine - INFO - Epoch(train) [100][2720/3757] lr: 1.0000e-04 eta: 0:04:07 time: 0.2376 data_time: 0.0221 memory: 6108 grad_norm: 9.6695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3954 loss: 1.3954 2022/07/23 16:54:09 - mmengine - INFO - Epoch(train) [100][2740/3757] lr: 1.0000e-04 eta: 0:04:02 time: 0.2335 data_time: 0.0259 memory: 6108 grad_norm: 8.8679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1812 loss: 1.1812 2022/07/23 16:54:14 - mmengine - INFO - Epoch(train) [100][2760/3757] lr: 1.0000e-04 eta: 0:03:57 time: 0.2432 data_time: 0.0239 memory: 6108 grad_norm: 9.6960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1057 loss: 1.1057 2022/07/23 16:54:18 - mmengine - INFO - Epoch(train) [100][2780/3757] lr: 1.0000e-04 eta: 0:03:52 time: 0.2268 data_time: 0.0205 memory: 6108 grad_norm: 9.2580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0992 loss: 1.0992 2022/07/23 16:54:23 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 1.0000e-04 eta: 0:03:48 time: 0.2368 data_time: 0.0213 memory: 6108 grad_norm: 9.6601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3070 loss: 1.3070 2022/07/23 16:54:28 - mmengine - INFO - Epoch(train) [100][2820/3757] lr: 1.0000e-04 eta: 0:03:43 time: 0.2350 data_time: 0.0209 memory: 6108 grad_norm: 9.5511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1325 loss: 1.1325 2022/07/23 16:54:33 - mmengine - INFO - Epoch(train) [100][2840/3757] lr: 1.0000e-04 eta: 0:03:38 time: 0.2372 data_time: 0.0217 memory: 6108 grad_norm: 9.9923 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2094 loss: 1.2094 2022/07/23 16:54:37 - mmengine - INFO - Epoch(train) [100][2860/3757] lr: 1.0000e-04 eta: 0:03:33 time: 0.2397 data_time: 0.0204 memory: 6108 grad_norm: 9.8589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1324 loss: 1.1324 2022/07/23 16:54:42 - mmengine - INFO - Epoch(train) [100][2880/3757] lr: 1.0000e-04 eta: 0:03:29 time: 0.2305 data_time: 0.0213 memory: 6108 grad_norm: 9.6902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/07/23 16:54:47 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 1.0000e-04 eta: 0:03:24 time: 0.2332 data_time: 0.0256 memory: 6108 grad_norm: 10.1052 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1255 loss: 1.1255 2022/07/23 16:54:52 - mmengine - INFO - Epoch(train) [100][2920/3757] lr: 1.0000e-04 eta: 0:03:19 time: 0.2358 data_time: 0.0257 memory: 6108 grad_norm: 9.1520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/07/23 16:54:56 - mmengine - INFO - Epoch(train) [100][2940/3757] lr: 1.0000e-04 eta: 0:03:14 time: 0.2388 data_time: 0.0230 memory: 6108 grad_norm: 9.4444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0597 loss: 1.0597 2022/07/23 16:55:01 - mmengine - INFO - Epoch(train) [100][2960/3757] lr: 1.0000e-04 eta: 0:03:10 time: 0.2270 data_time: 0.0208 memory: 6108 grad_norm: 9.4822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0909 loss: 1.0909 2022/07/23 16:55:06 - mmengine - INFO - Epoch(train) [100][2980/3757] lr: 1.0000e-04 eta: 0:03:05 time: 0.2313 data_time: 0.0288 memory: 6108 grad_norm: 9.3305 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1920 loss: 1.1920 2022/07/23 16:55:10 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 1.0000e-04 eta: 0:03:00 time: 0.2283 data_time: 0.0224 memory: 6108 grad_norm: 9.7334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2785 loss: 1.2785 2022/07/23 16:55:16 - mmengine - INFO - Epoch(train) [100][3020/3757] lr: 1.0000e-04 eta: 0:02:55 time: 0.2897 data_time: 0.0219 memory: 6108 grad_norm: 9.4308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1035 loss: 1.1035 2022/07/23 16:55:21 - mmengine - INFO - Epoch(train) [100][3040/3757] lr: 1.0000e-04 eta: 0:02:50 time: 0.2289 data_time: 0.0328 memory: 6108 grad_norm: 9.3622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9378 loss: 0.9378 2022/07/23 16:55:25 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:55:25 - mmengine - INFO - Epoch(train) [100][3060/3757] lr: 1.0000e-04 eta: 0:02:46 time: 0.2306 data_time: 0.0184 memory: 6108 grad_norm: 9.4852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3602 loss: 1.3602 2022/07/23 16:55:30 - mmengine - INFO - Epoch(train) [100][3080/3757] lr: 1.0000e-04 eta: 0:02:41 time: 0.2349 data_time: 0.0156 memory: 6108 grad_norm: 9.6655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/07/23 16:55:35 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 1.0000e-04 eta: 0:02:36 time: 0.2423 data_time: 0.0264 memory: 6108 grad_norm: 9.5526 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/07/23 16:55:39 - mmengine - INFO - Epoch(train) [100][3120/3757] lr: 1.0000e-04 eta: 0:02:31 time: 0.2281 data_time: 0.0191 memory: 6108 grad_norm: 9.8304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/07/23 16:55:44 - mmengine - INFO - Epoch(train) [100][3140/3757] lr: 1.0000e-04 eta: 0:02:27 time: 0.2396 data_time: 0.0308 memory: 6108 grad_norm: 9.3926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2198 loss: 1.2198 2022/07/23 16:55:49 - mmengine - INFO - Epoch(train) [100][3160/3757] lr: 1.0000e-04 eta: 0:02:22 time: 0.2310 data_time: 0.0205 memory: 6108 grad_norm: 9.6259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2868 loss: 1.2868 2022/07/23 16:55:54 - mmengine - INFO - Epoch(train) [100][3180/3757] lr: 1.0000e-04 eta: 0:02:17 time: 0.2404 data_time: 0.0243 memory: 6108 grad_norm: 9.4070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/07/23 16:55:58 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 1.0000e-04 eta: 0:02:12 time: 0.2313 data_time: 0.0182 memory: 6108 grad_norm: 9.7349 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2545 loss: 1.2545 2022/07/23 16:56:03 - mmengine - INFO - Epoch(train) [100][3220/3757] lr: 1.0000e-04 eta: 0:02:08 time: 0.2322 data_time: 0.0244 memory: 6108 grad_norm: 9.2018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8332 loss: 0.8332 2022/07/23 16:56:08 - mmengine - INFO - Epoch(train) [100][3240/3757] lr: 1.0000e-04 eta: 0:02:03 time: 0.2318 data_time: 0.0206 memory: 6108 grad_norm: 9.9425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2602 loss: 1.2602 2022/07/23 16:56:13 - mmengine - INFO - Epoch(train) [100][3260/3757] lr: 1.0000e-04 eta: 0:01:58 time: 0.2424 data_time: 0.0192 memory: 6108 grad_norm: 9.5590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/07/23 16:56:18 - mmengine - INFO - Epoch(train) [100][3280/3757] lr: 1.0000e-04 eta: 0:01:53 time: 0.2459 data_time: 0.0237 memory: 6108 grad_norm: 9.5574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2450 loss: 1.2450 2022/07/23 16:56:22 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 1.0000e-04 eta: 0:01:48 time: 0.2283 data_time: 0.0209 memory: 6108 grad_norm: 9.6002 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/07/23 16:56:27 - mmengine - INFO - Epoch(train) [100][3320/3757] lr: 1.0000e-04 eta: 0:01:44 time: 0.2315 data_time: 0.0244 memory: 6108 grad_norm: 9.2071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0013 loss: 1.0013 2022/07/23 16:56:32 - mmengine - INFO - Epoch(train) [100][3340/3757] lr: 1.0000e-04 eta: 0:01:39 time: 0.2386 data_time: 0.0227 memory: 6108 grad_norm: 9.9473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0374 loss: 1.0374 2022/07/23 16:56:37 - mmengine - INFO - Epoch(train) [100][3360/3757] lr: 1.0000e-04 eta: 0:01:34 time: 0.2425 data_time: 0.0257 memory: 6108 grad_norm: 10.0027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/07/23 16:56:41 - mmengine - INFO - Epoch(train) [100][3380/3757] lr: 1.0000e-04 eta: 0:01:29 time: 0.2323 data_time: 0.0169 memory: 6108 grad_norm: 9.6481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1954 loss: 1.1954 2022/07/23 16:56:46 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 1.0000e-04 eta: 0:01:25 time: 0.2356 data_time: 0.0257 memory: 6108 grad_norm: 9.6991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/07/23 16:56:51 - mmengine - INFO - Epoch(train) [100][3420/3757] lr: 1.0000e-04 eta: 0:01:20 time: 0.2295 data_time: 0.0189 memory: 6108 grad_norm: 9.4939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1603 loss: 1.1603 2022/07/23 16:56:56 - mmengine - INFO - Epoch(train) [100][3440/3757] lr: 1.0000e-04 eta: 0:01:15 time: 0.2508 data_time: 0.0201 memory: 6108 grad_norm: 10.0507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1678 loss: 1.1678 2022/07/23 16:57:00 - mmengine - INFO - Epoch(train) [100][3460/3757] lr: 1.0000e-04 eta: 0:01:10 time: 0.2334 data_time: 0.0285 memory: 6108 grad_norm: 9.7862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1265 loss: 1.1265 2022/07/23 16:57:05 - mmengine - INFO - Epoch(train) [100][3480/3757] lr: 1.0000e-04 eta: 0:01:06 time: 0.2326 data_time: 0.0220 memory: 6108 grad_norm: 9.4282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0511 loss: 1.0511 2022/07/23 16:57:10 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 1.0000e-04 eta: 0:01:01 time: 0.2317 data_time: 0.0222 memory: 6108 grad_norm: 9.6227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0653 loss: 1.0653 2022/07/23 16:57:15 - mmengine - INFO - Epoch(train) [100][3520/3757] lr: 1.0000e-04 eta: 0:00:56 time: 0.2372 data_time: 0.0227 memory: 6108 grad_norm: 9.3249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9787 loss: 0.9787 2022/07/23 16:57:19 - mmengine - INFO - Epoch(train) [100][3540/3757] lr: 1.0000e-04 eta: 0:00:51 time: 0.2331 data_time: 0.0224 memory: 6108 grad_norm: 9.7451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2660 loss: 1.2660 2022/07/23 16:57:24 - mmengine - INFO - Epoch(train) [100][3560/3757] lr: 1.0000e-04 eta: 0:00:46 time: 0.2288 data_time: 0.0321 memory: 6108 grad_norm: 9.6103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1827 loss: 1.1827 2022/07/23 16:57:29 - mmengine - INFO - Epoch(train) [100][3580/3757] lr: 1.0000e-04 eta: 0:00:42 time: 0.2338 data_time: 0.0287 memory: 6108 grad_norm: 9.1727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/07/23 16:57:34 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 1.0000e-04 eta: 0:00:37 time: 0.2742 data_time: 0.0276 memory: 6108 grad_norm: 9.4811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0259 loss: 1.0259 2022/07/23 16:57:39 - mmengine - INFO - Epoch(train) [100][3620/3757] lr: 1.0000e-04 eta: 0:00:32 time: 0.2232 data_time: 0.0243 memory: 6108 grad_norm: 9.5943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/07/23 16:57:43 - mmengine - INFO - Epoch(train) [100][3640/3757] lr: 1.0000e-04 eta: 0:00:27 time: 0.2338 data_time: 0.0209 memory: 6108 grad_norm: 9.8366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1406 loss: 1.1406 2022/07/23 16:57:48 - mmengine - INFO - Epoch(train) [100][3660/3757] lr: 1.0000e-04 eta: 0:00:23 time: 0.2319 data_time: 0.0254 memory: 6108 grad_norm: 9.9243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/07/23 16:57:53 - mmengine - INFO - Epoch(train) [100][3680/3757] lr: 1.0000e-04 eta: 0:00:18 time: 0.2465 data_time: 0.0291 memory: 6108 grad_norm: 9.3129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/07/23 16:57:58 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 1.0000e-04 eta: 0:00:13 time: 0.2525 data_time: 0.0196 memory: 6108 grad_norm: 9.6582 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1397 loss: 1.1397 2022/07/23 16:58:03 - mmengine - INFO - Epoch(train) [100][3720/3757] lr: 1.0000e-04 eta: 0:00:08 time: 0.2326 data_time: 0.0237 memory: 6108 grad_norm: 9.6223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/07/23 16:58:07 - mmengine - INFO - Epoch(train) [100][3740/3757] lr: 1.0000e-04 eta: 0:00:04 time: 0.2309 data_time: 0.0192 memory: 6108 grad_norm: 9.6218 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/07/23 16:58:11 - mmengine - INFO - Exp name: i3d_nl_gaussian_r50_32x2x1_100e_8xb8_kinetics400_rgb_20220722_135616 2022/07/23 16:58:11 - mmengine - INFO - Epoch(train) [100][3757/3757] lr: 1.0000e-04 eta: 0:00:04 time: 0.1983 data_time: 0.0151 memory: 6108 grad_norm: 9.9770 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9439 loss: 0.9439 2022/07/23 16:58:11 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/07/23 16:58:20 - mmengine - INFO - Epoch(val) [100][20/310] eta: 0:01:24 time: 0.2902 data_time: 0.2072 memory: 1428 2022/07/23 16:58:24 - mmengine - INFO - Epoch(val) [100][40/310] eta: 0:00:52 time: 0.1951 data_time: 0.1160 memory: 1428 2022/07/23 16:58:28 - mmengine - INFO - Epoch(val) [100][60/310] eta: 0:00:54 time: 0.2172 data_time: 0.1391 memory: 1428 2022/07/23 16:58:32 - mmengine - INFO - Epoch(val) [100][80/310] eta: 0:00:46 time: 0.2001 data_time: 0.1273 memory: 1428 2022/07/23 16:58:37 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:00:51 time: 0.2452 data_time: 0.1719 memory: 1428 2022/07/23 16:58:41 - mmengine - INFO - Epoch(val) [100][120/310] eta: 0:00:34 time: 0.1836 data_time: 0.1084 memory: 1428 2022/07/23 16:58:46 - mmengine - INFO - Epoch(val) [100][140/310] eta: 0:00:46 time: 0.2761 data_time: 0.2004 memory: 1428 2022/07/23 16:58:50 - mmengine - INFO - Epoch(val) [100][160/310] eta: 0:00:26 time: 0.1754 data_time: 0.0968 memory: 1428 2022/07/23 16:58:55 - mmengine - INFO - Epoch(val) [100][180/310] eta: 0:00:33 time: 0.2561 data_time: 0.1810 memory: 1428 2022/07/23 16:58:58 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:20 time: 0.1880 data_time: 0.1138 memory: 1428 2022/07/23 16:59:03 - mmengine - INFO - Epoch(val) [100][220/310] eta: 0:00:19 time: 0.2213 data_time: 0.1461 memory: 1428 2022/07/23 16:59:07 - mmengine - INFO - Epoch(val) [100][240/310] eta: 0:00:13 time: 0.1943 data_time: 0.1092 memory: 1428 2022/07/23 16:59:11 - mmengine - INFO - Epoch(val) [100][260/310] eta: 0:00:10 time: 0.2178 data_time: 0.1402 memory: 1428 2022/07/23 16:59:15 - mmengine - INFO - Epoch(val) [100][280/310] eta: 0:00:06 time: 0.2134 data_time: 0.1411 memory: 1428 2022/07/23 16:59:18 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:01 time: 0.1455 data_time: 0.0868 memory: 1428 2022/07/23 16:59:21 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.6647 acc/top5: 0.8651 acc/mean1: 0.6646