2022/08/10 14:52:50 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/08/10 14:52:53 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb by HardDiskBackend. 2022/08/10 15:05:19 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 2.0000e-03 eta: 40 days, 14:08:43 time: 37.3355 data_time: 36.4112 memory: 19925 grad_norm: 2.3544 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.9217 loss: 5.9217 2022/08/10 15:05:36 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 2.0000e-03 eta: 20 days, 17:54:56 time: 0.8393 data_time: 0.0246 memory: 19925 grad_norm: 2.4241 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8476 loss: 5.8476 2022/08/10 15:05:52 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 2.0000e-03 eta: 14 days, 2:59:34 time: 0.8190 data_time: 0.0163 memory: 19925 grad_norm: 2.5153 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.6878 loss: 5.6878 2022/08/10 15:06:09 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 2.0000e-03 eta: 10 days, 19:33:43 time: 0.8240 data_time: 0.0173 memory: 19925 grad_norm: 2.6020 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.5156 loss: 5.5156 2022/08/10 15:06:25 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 2.0000e-03 eta: 8 days, 19:53:40 time: 0.8227 data_time: 0.0169 memory: 19925 grad_norm: 2.7304 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.2622 loss: 5.2622 2022/08/10 15:06:42 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 2.0000e-03 eta: 7 days, 12:07:17 time: 0.8242 data_time: 0.0171 memory: 19925 grad_norm: 2.8203 top1_acc: 0.0000 top5_acc: 0.3125 loss_cls: 5.0036 loss: 5.0036 2022/08/10 15:06:58 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 2.0000e-03 eta: 6 days, 13:26:18 time: 0.8277 data_time: 0.0164 memory: 19925 grad_norm: 2.9557 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 4.8271 loss: 4.8271 2022/08/10 15:07:15 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 2.0000e-03 eta: 5 days, 20:26:01 time: 0.8304 data_time: 0.0168 memory: 19925 grad_norm: 3.0855 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.6342 loss: 4.6342 2022/08/10 15:07:31 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 2.0000e-03 eta: 5 days, 7:10:49 time: 0.8214 data_time: 0.0160 memory: 19925 grad_norm: 3.1123 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5218 loss: 4.5218 2022/08/10 15:07:48 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 2.0000e-03 eta: 4 days, 20:35:51 time: 0.8293 data_time: 0.0174 memory: 19925 grad_norm: 3.2474 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.3409 loss: 4.3409 2022/08/10 15:08:06 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 2.0000e-03 eta: 4 days, 12:09:12 time: 0.9202 data_time: 0.0623 memory: 19925 grad_norm: 3.2996 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3108 loss: 4.3108 2022/08/10 15:08:23 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 2.0000e-03 eta: 4 days, 4:55:16 time: 0.8307 data_time: 0.0161 memory: 19925 grad_norm: 3.3839 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 4.1889 loss: 4.1889 2022/08/10 15:08:40 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 2.0000e-03 eta: 3 days, 22:47:45 time: 0.8281 data_time: 0.0175 memory: 19925 grad_norm: 3.4591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1585 loss: 4.1585 2022/08/10 15:08:56 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 2.0000e-03 eta: 3 days, 17:32:45 time: 0.8285 data_time: 0.0165 memory: 19925 grad_norm: 3.5254 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0659 loss: 4.0659 2022/08/10 15:09:13 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 2.0000e-03 eta: 3 days, 12:59:09 time: 0.8232 data_time: 0.0162 memory: 19925 grad_norm: 3.6551 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.9243 loss: 3.9243 2022/08/10 15:09:29 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 2.0000e-03 eta: 3 days, 8:59:45 time: 0.8235 data_time: 0.0164 memory: 19925 grad_norm: 3.6424 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7563 loss: 3.7563 2022/08/10 15:09:46 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 2.0000e-03 eta: 3 days, 5:28:51 time: 0.8275 data_time: 0.0178 memory: 19925 grad_norm: 3.8033 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.9724 loss: 3.9724 2022/08/10 15:10:02 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 2.0000e-03 eta: 3 days, 2:21:19 time: 0.8271 data_time: 0.0166 memory: 19925 grad_norm: 3.8054 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8186 loss: 3.8186 2022/08/10 15:10:20 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 2.0000e-03 eta: 2 days, 23:39:37 time: 0.9016 data_time: 0.0869 memory: 19925 grad_norm: 3.8819 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8718 loss: 3.8718 2022/08/10 15:10:37 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 2.0000e-03 eta: 2 days, 21:08:14 time: 0.8270 data_time: 0.0168 memory: 19925 grad_norm: 3.9035 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.7787 loss: 3.7787 2022/08/10 15:10:53 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 2.0000e-03 eta: 2 days, 18:51:12 time: 0.8265 data_time: 0.0161 memory: 19925 grad_norm: 3.9802 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.6067 loss: 3.6067 2022/08/10 15:11:10 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 2.0000e-03 eta: 2 days, 16:46:49 time: 0.8295 data_time: 0.0159 memory: 19925 grad_norm: 4.0214 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6383 loss: 3.6383 2022/08/10 15:11:27 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 2.0000e-03 eta: 2 days, 14:53:28 time: 0.8331 data_time: 0.0163 memory: 19925 grad_norm: 4.0633 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.6306 loss: 3.6306 2022/08/10 15:11:43 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 2.0000e-03 eta: 2 days, 13:09:19 time: 0.8297 data_time: 0.0183 memory: 19925 grad_norm: 4.1552 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3538 loss: 3.3538 2022/08/10 15:12:00 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 2.0000e-03 eta: 2 days, 11:33:25 time: 0.8286 data_time: 0.0177 memory: 19925 grad_norm: 4.1826 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.3427 loss: 3.3427 2022/08/10 15:12:16 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 2.0000e-03 eta: 2 days, 10:05:06 time: 0.8325 data_time: 0.0159 memory: 19925 grad_norm: 4.1882 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.3329 loss: 3.3329 2022/08/10 15:12:33 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 2.0000e-03 eta: 2 days, 8:42:59 time: 0.8268 data_time: 0.0168 memory: 19925 grad_norm: 4.2250 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.3971 loss: 3.3971 2022/08/10 15:12:49 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 2.0000e-03 eta: 2 days, 7:26:31 time: 0.8235 data_time: 0.0168 memory: 19925 grad_norm: 4.2922 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2925 loss: 3.2925 2022/08/10 15:13:06 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 2.0000e-03 eta: 2 days, 6:15:43 time: 0.8311 data_time: 0.0165 memory: 19925 grad_norm: 4.3485 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.3853 loss: 3.3853 2022/08/10 15:13:23 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 2.0000e-03 eta: 2 days, 5:09:22 time: 0.8260 data_time: 0.0169 memory: 19925 grad_norm: 4.3450 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1992 loss: 3.1992 2022/08/10 15:13:39 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 2.0000e-03 eta: 2 days, 4:07:25 time: 0.8291 data_time: 0.0161 memory: 19925 grad_norm: 4.4606 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2337 loss: 3.2337 2022/08/10 15:13:56 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 2.0000e-03 eta: 2 days, 3:09:23 time: 0.8301 data_time: 0.0170 memory: 19925 grad_norm: 4.4839 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.2215 loss: 3.2215 2022/08/10 15:14:12 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 2.0000e-03 eta: 2 days, 2:14:46 time: 0.8286 data_time: 0.0164 memory: 19925 grad_norm: 4.4437 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0717 loss: 3.0717 2022/08/10 15:14:29 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 2.0000e-03 eta: 2 days, 1:23:31 time: 0.8321 data_time: 0.0163 memory: 19925 grad_norm: 4.5582 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1881 loss: 3.1881 2022/08/10 15:14:46 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 2.0000e-03 eta: 2 days, 0:34:59 time: 0.8279 data_time: 0.0178 memory: 19925 grad_norm: 4.5196 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.0923 loss: 3.0923 2022/08/10 15:15:02 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 2.0000e-03 eta: 1 day, 23:49:06 time: 0.8268 data_time: 0.0167 memory: 19925 grad_norm: 4.6025 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.9823 loss: 2.9823 2022/08/10 15:15:19 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 2.0000e-03 eta: 1 day, 23:06:35 time: 0.8486 data_time: 0.0232 memory: 19925 grad_norm: 4.5755 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.0562 loss: 3.0562 2022/08/10 15:15:36 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 2.0000e-03 eta: 1 day, 22:25:41 time: 0.8338 data_time: 0.0163 memory: 19925 grad_norm: 4.7008 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.1156 loss: 3.1156 2022/08/10 15:15:52 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 2.0000e-03 eta: 1 day, 21:46:48 time: 0.8317 data_time: 0.0162 memory: 19925 grad_norm: 4.6551 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9278 loss: 2.9278 2022/08/10 15:16:09 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 2.0000e-03 eta: 1 day, 21:09:54 time: 0.8334 data_time: 0.0160 memory: 19925 grad_norm: 4.7267 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1398 loss: 3.1398 2022/08/10 15:16:26 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 2.0000e-03 eta: 1 day, 20:35:02 time: 0.8398 data_time: 0.0192 memory: 19925 grad_norm: 4.7052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0254 loss: 3.0254 2022/08/10 15:16:42 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 2.0000e-03 eta: 1 day, 20:01:23 time: 0.8286 data_time: 0.0164 memory: 19925 grad_norm: 4.8637 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8774 loss: 2.8774 2022/08/10 15:16:59 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 2.0000e-03 eta: 1 day, 19:29:24 time: 0.8314 data_time: 0.0162 memory: 19925 grad_norm: 4.8489 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.9328 loss: 2.9328 2022/08/10 15:17:16 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 2.0000e-03 eta: 1 day, 18:58:49 time: 0.8302 data_time: 0.0168 memory: 19925 grad_norm: 4.8378 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.9308 loss: 2.9308 2022/08/10 15:17:32 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 2.0000e-03 eta: 1 day, 18:29:29 time: 0.8271 data_time: 0.0168 memory: 19925 grad_norm: 4.8061 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9251 loss: 2.9251 2022/08/10 15:17:49 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 2.0000e-03 eta: 1 day, 18:01:30 time: 0.8303 data_time: 0.0171 memory: 19925 grad_norm: 4.9938 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9990 loss: 2.9990 2022/08/10 15:18:07 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 2.0000e-03 eta: 1 day, 17:37:01 time: 0.9001 data_time: 0.0170 memory: 19925 grad_norm: 4.8445 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0206 loss: 3.0206 2022/08/10 15:18:23 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 2.0000e-03 eta: 1 day, 17:11:04 time: 0.8241 data_time: 0.0171 memory: 19925 grad_norm: 4.9296 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9500 loss: 2.9500 2022/08/10 15:18:40 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 2.0000e-03 eta: 1 day, 16:46:17 time: 0.8271 data_time: 0.0172 memory: 19925 grad_norm: 4.9702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.9472 loss: 2.9472 2022/08/10 15:18:57 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 15:18:57 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 2.0000e-03 eta: 1 day, 16:22:55 time: 0.8417 data_time: 0.0175 memory: 19925 grad_norm: 4.9387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 3.0458 loss: 3.0458 2022/08/10 15:19:13 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 2.0000e-03 eta: 1 day, 16:00:13 time: 0.8336 data_time: 0.0159 memory: 19925 grad_norm: 5.0860 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9052 loss: 2.9052 2022/08/10 15:19:30 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 2.0000e-03 eta: 1 day, 15:38:29 time: 0.8374 data_time: 0.0164 memory: 19925 grad_norm: 4.9991 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8611 loss: 2.8611 2022/08/10 15:19:47 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 2.0000e-03 eta: 1 day, 15:17:27 time: 0.8336 data_time: 0.0162 memory: 19925 grad_norm: 5.1014 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8204 loss: 2.8204 2022/08/10 15:20:03 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 2.0000e-03 eta: 1 day, 14:57:21 time: 0.8390 data_time: 0.0168 memory: 19925 grad_norm: 5.0489 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8082 loss: 2.8082 2022/08/10 15:20:21 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 2.0000e-03 eta: 1 day, 14:38:47 time: 0.8684 data_time: 0.0523 memory: 19925 grad_norm: 5.0268 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.7470 loss: 2.7470 2022/08/10 15:20:38 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 2.0000e-03 eta: 1 day, 14:20:04 time: 0.8390 data_time: 0.0166 memory: 19925 grad_norm: 5.2437 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9781 loss: 2.9781 2022/08/10 15:20:55 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 2.0000e-03 eta: 1 day, 14:03:02 time: 0.8771 data_time: 0.0160 memory: 19925 grad_norm: 5.1728 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.6932 loss: 2.6932 2022/08/10 15:21:14 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 2.0000e-03 eta: 1 day, 13:48:38 time: 0.9546 data_time: 0.0162 memory: 19925 grad_norm: 5.0916 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.8115 loss: 2.8115 2022/08/10 15:21:32 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 2.0000e-03 eta: 1 day, 13:32:47 time: 0.8808 data_time: 0.0173 memory: 19925 grad_norm: 5.1333 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9851 loss: 2.9851 2022/08/10 15:21:49 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 2.0000e-03 eta: 1 day, 13:16:17 time: 0.8353 data_time: 0.0169 memory: 19925 grad_norm: 5.2825 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9318 loss: 2.9318 2022/08/10 15:22:05 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 2.0000e-03 eta: 1 day, 13:00:24 time: 0.8386 data_time: 0.0165 memory: 19925 grad_norm: 5.1822 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8684 loss: 2.8684 2022/08/10 15:22:23 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 2.0000e-03 eta: 1 day, 12:45:50 time: 0.8712 data_time: 0.0175 memory: 19925 grad_norm: 5.1831 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5368 loss: 2.5368 2022/08/10 15:22:40 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 2.0000e-03 eta: 1 day, 12:31:23 time: 0.8578 data_time: 0.0183 memory: 19925 grad_norm: 5.3701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8802 loss: 2.8802 2022/08/10 15:22:57 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 2.0000e-03 eta: 1 day, 12:16:54 time: 0.8384 data_time: 0.0154 memory: 19925 grad_norm: 5.3579 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6538 loss: 2.6538 2022/08/10 15:23:13 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 2.0000e-03 eta: 1 day, 12:02:37 time: 0.8279 data_time: 0.0162 memory: 19925 grad_norm: 5.3567 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.8384 loss: 2.8384 2022/08/10 15:23:30 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 2.0000e-03 eta: 1 day, 11:48:52 time: 0.8325 data_time: 0.0167 memory: 19925 grad_norm: 5.2208 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.6306 loss: 2.6306 2022/08/10 15:23:47 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 2.0000e-03 eta: 1 day, 11:35:37 time: 0.8369 data_time: 0.0172 memory: 19925 grad_norm: 5.2842 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6793 loss: 2.6793 2022/08/10 15:24:03 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 2.0000e-03 eta: 1 day, 11:22:40 time: 0.8337 data_time: 0.0164 memory: 19925 grad_norm: 5.3120 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6960 loss: 2.6960 2022/08/10 15:24:20 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 2.0000e-03 eta: 1 day, 11:10:04 time: 0.8322 data_time: 0.0174 memory: 19925 grad_norm: 5.3809 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6995 loss: 2.6995 2022/08/10 15:24:38 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 2.0000e-03 eta: 1 day, 10:59:38 time: 0.9150 data_time: 0.0169 memory: 19925 grad_norm: 5.3997 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7905 loss: 2.7905 2022/08/10 15:24:55 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 2.0000e-03 eta: 1 day, 10:47:46 time: 0.8357 data_time: 0.0161 memory: 19925 grad_norm: 5.4224 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.6113 loss: 2.6113 2022/08/10 15:25:12 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 2.0000e-03 eta: 1 day, 10:36:12 time: 0.8349 data_time: 0.0186 memory: 19925 grad_norm: 5.5009 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5455 loss: 2.5455 2022/08/10 15:25:29 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 2.0000e-03 eta: 1 day, 10:25:07 time: 0.8429 data_time: 0.0190 memory: 19925 grad_norm: 5.3855 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7821 loss: 2.7821 2022/08/10 15:25:45 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 2.0000e-03 eta: 1 day, 10:14:07 time: 0.8330 data_time: 0.0158 memory: 19925 grad_norm: 5.3465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4855 loss: 2.4855 2022/08/10 15:26:04 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 2.0000e-03 eta: 1 day, 10:05:26 time: 0.9317 data_time: 0.0163 memory: 19925 grad_norm: 5.5040 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5740 loss: 2.5740 2022/08/10 15:26:20 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 2.0000e-03 eta: 1 day, 9:54:57 time: 0.8318 data_time: 0.0165 memory: 19925 grad_norm: 5.5334 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5818 loss: 2.5818 2022/08/10 15:26:37 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 2.0000e-03 eta: 1 day, 9:44:47 time: 0.8347 data_time: 0.0183 memory: 19925 grad_norm: 5.4859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5286 loss: 2.5286 2022/08/10 15:26:54 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 2.0000e-03 eta: 1 day, 9:34:48 time: 0.8314 data_time: 0.0146 memory: 19925 grad_norm: 5.4627 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.7014 loss: 2.7014 2022/08/10 15:27:11 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 2.0000e-03 eta: 1 day, 9:25:16 time: 0.8419 data_time: 0.0163 memory: 19925 grad_norm: 5.5631 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6953 loss: 2.6953 2022/08/10 15:27:27 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 2.0000e-03 eta: 1 day, 9:15:51 time: 0.8357 data_time: 0.0157 memory: 19925 grad_norm: 5.5446 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7717 loss: 2.7717 2022/08/10 15:27:44 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 2.0000e-03 eta: 1 day, 9:06:45 time: 0.8397 data_time: 0.0165 memory: 19925 grad_norm: 5.5336 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6980 loss: 2.6980 2022/08/10 15:28:03 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 2.0000e-03 eta: 1 day, 8:59:58 time: 0.9524 data_time: 0.0174 memory: 19925 grad_norm: 5.6221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5403 loss: 2.5403 2022/08/10 15:28:20 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 2.0000e-03 eta: 1 day, 8:51:09 time: 0.8350 data_time: 0.0182 memory: 19925 grad_norm: 5.7107 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6299 loss: 2.6299 2022/08/10 15:28:37 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 2.0000e-03 eta: 1 day, 8:42:37 time: 0.8384 data_time: 0.0170 memory: 19925 grad_norm: 5.6431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6644 loss: 2.6644 2022/08/10 15:28:53 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 2.0000e-03 eta: 1 day, 8:34:07 time: 0.8300 data_time: 0.0164 memory: 19925 grad_norm: 5.6403 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6005 loss: 2.6005 2022/08/10 15:29:10 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 2.0000e-03 eta: 1 day, 8:26:03 time: 0.8437 data_time: 0.0171 memory: 19925 grad_norm: 5.6190 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.6514 loss: 2.6514 2022/08/10 15:29:27 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 2.0000e-03 eta: 1 day, 8:18:03 time: 0.8362 data_time: 0.0168 memory: 19925 grad_norm: 5.6526 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8262 loss: 2.8262 2022/08/10 15:29:44 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 2.0000e-03 eta: 1 day, 8:10:13 time: 0.8374 data_time: 0.0175 memory: 19925 grad_norm: 5.6188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5623 loss: 2.5623 2022/08/10 15:30:00 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 2.0000e-03 eta: 1 day, 8:02:34 time: 0.8372 data_time: 0.0172 memory: 19925 grad_norm: 5.7162 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5043 loss: 2.5043 2022/08/10 15:30:17 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 2.0000e-03 eta: 1 day, 7:55:09 time: 0.8412 data_time: 0.0229 memory: 19925 grad_norm: 5.7767 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5197 loss: 2.5197 2022/08/10 15:30:34 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 2.0000e-03 eta: 1 day, 7:47:51 time: 0.8389 data_time: 0.0183 memory: 19925 grad_norm: 5.7525 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4708 loss: 2.4708 2022/08/10 15:30:51 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 2.0000e-03 eta: 1 day, 7:41:02 time: 0.8592 data_time: 0.0367 memory: 19925 grad_norm: 5.7519 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6301 loss: 2.6301 2022/08/10 15:31:08 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 2.0000e-03 eta: 1 day, 7:34:03 time: 0.8395 data_time: 0.0162 memory: 19925 grad_norm: 5.7659 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3270 loss: 2.3270 2022/08/10 15:31:23 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 15:31:23 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 2.0000e-03 eta: 1 day, 7:34:03 time: 0.8063 data_time: 0.0138 memory: 19925 grad_norm: 5.8124 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.4964 loss: 2.4964 2022/08/10 15:43:37 - mmengine - INFO - Epoch(val) [1][20/155] eta: 1:22:34 time: 36.6990 data_time: 36.4508 memory: 2570 2022/08/10 15:43:52 - mmengine - INFO - Epoch(val) [1][40/155] eta: 0:01:23 time: 0.7241 data_time: 0.4934 memory: 2570 2022/08/10 15:44:01 - mmengine - INFO - Epoch(val) [1][60/155] eta: 0:00:43 time: 0.4550 data_time: 0.2244 memory: 2570 2022/08/10 15:44:14 - mmengine - INFO - Epoch(val) [1][80/155] eta: 0:00:50 time: 0.6705 data_time: 0.4406 memory: 2570 2022/08/10 15:44:23 - mmengine - INFO - Epoch(val) [1][100/155] eta: 0:00:24 time: 0.4449 data_time: 0.2136 memory: 2570 2022/08/10 15:44:35 - mmengine - INFO - Epoch(val) [1][120/155] eta: 0:00:20 time: 0.5899 data_time: 0.3592 memory: 2570 2022/08/10 15:44:44 - mmengine - INFO - Epoch(val) [1][140/155] eta: 0:00:06 time: 0.4456 data_time: 0.2155 memory: 2570 2022/08/10 15:45:02 - mmengine - INFO - Epoch(val) [1][155/155] acc/top1: 0.4520 acc/top5: 0.7234 acc/mean1: 0.4515 2022/08/10 15:45:04 - mmengine - INFO - The best checkpoint with 0.4520 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/10 15:45:31 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 6.5000e-03 eta: 1 day, 7:16:04 time: 1.3430 data_time: 0.3109 memory: 19925 grad_norm: 6.0030 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.8634 loss: 2.8634 2022/08/10 15:45:48 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 6.5000e-03 eta: 1 day, 7:09:22 time: 0.8293 data_time: 0.0155 memory: 19925 grad_norm: 6.1635 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9328 loss: 2.9328 2022/08/10 15:46:04 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 6.5000e-03 eta: 1 day, 7:02:49 time: 0.8310 data_time: 0.0165 memory: 19925 grad_norm: 6.0915 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7590 loss: 2.7590 2022/08/10 15:46:21 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 6.5000e-03 eta: 1 day, 6:56:17 time: 0.8234 data_time: 0.0163 memory: 19925 grad_norm: 6.0001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5818 loss: 2.5818 2022/08/10 15:46:37 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 6.5000e-03 eta: 1 day, 6:49:53 time: 0.8230 data_time: 0.0166 memory: 19925 grad_norm: 6.0937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7633 loss: 2.7633 2022/08/10 15:46:54 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 6.5000e-03 eta: 1 day, 6:43:34 time: 0.8214 data_time: 0.0170 memory: 19925 grad_norm: 5.9704 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8045 loss: 2.8045 2022/08/10 15:46:55 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 15:47:10 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 6.5000e-03 eta: 1 day, 6:37:23 time: 0.8216 data_time: 0.0176 memory: 19925 grad_norm: 6.0623 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.7892 loss: 2.7892 2022/08/10 15:47:27 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 6.5000e-03 eta: 1 day, 6:31:21 time: 0.8248 data_time: 0.0173 memory: 19925 grad_norm: 6.0588 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6276 loss: 2.6276 2022/08/10 15:47:43 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 6.5000e-03 eta: 1 day, 6:25:25 time: 0.8234 data_time: 0.0180 memory: 19925 grad_norm: 6.0541 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5571 loss: 2.5571 2022/08/10 15:48:02 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 6.5000e-03 eta: 1 day, 6:21:10 time: 0.9300 data_time: 0.0178 memory: 19925 grad_norm: 6.0117 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5729 loss: 2.5729 2022/08/10 15:48:18 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 6.5000e-03 eta: 1 day, 6:15:29 time: 0.8278 data_time: 0.0180 memory: 19925 grad_norm: 6.0906 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.8442 loss: 2.8442 2022/08/10 15:48:35 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 6.5000e-03 eta: 1 day, 6:09:52 time: 0.8240 data_time: 0.0173 memory: 19925 grad_norm: 6.0942 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7002 loss: 2.7002 2022/08/10 15:48:51 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 6.5000e-03 eta: 1 day, 6:04:23 time: 0.8262 data_time: 0.0168 memory: 19925 grad_norm: 6.1144 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.6399 loss: 2.6399 2022/08/10 15:49:08 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 6.5000e-03 eta: 1 day, 5:59:01 time: 0.8289 data_time: 0.0245 memory: 19925 grad_norm: 5.8859 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7998 loss: 2.7998 2022/08/10 15:49:24 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 6.5000e-03 eta: 1 day, 5:53:41 time: 0.8235 data_time: 0.0175 memory: 19925 grad_norm: 6.0500 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.7708 loss: 2.7708 2022/08/10 15:49:41 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 6.5000e-03 eta: 1 day, 5:48:30 time: 0.8282 data_time: 0.0182 memory: 19925 grad_norm: 6.2219 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8480 loss: 2.8480 2022/08/10 15:49:57 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 6.5000e-03 eta: 1 day, 5:43:20 time: 0.8232 data_time: 0.0174 memory: 19925 grad_norm: 6.0130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5217 loss: 2.5217 2022/08/10 15:50:14 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 6.5000e-03 eta: 1 day, 5:38:19 time: 0.8277 data_time: 0.0195 memory: 19925 grad_norm: 6.1610 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6569 loss: 2.6569 2022/08/10 15:50:30 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 6.5000e-03 eta: 1 day, 5:33:23 time: 0.8273 data_time: 0.0170 memory: 19925 grad_norm: 6.1261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7981 loss: 2.7981 2022/08/10 15:50:47 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 6.5000e-03 eta: 1 day, 5:28:32 time: 0.8272 data_time: 0.0168 memory: 19925 grad_norm: 6.1740 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8270 loss: 2.8270 2022/08/10 15:51:04 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 6.5000e-03 eta: 1 day, 5:23:46 time: 0.8278 data_time: 0.0174 memory: 19925 grad_norm: 5.9998 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6324 loss: 2.6324 2022/08/10 15:51:20 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 6.5000e-03 eta: 1 day, 5:19:06 time: 0.8305 data_time: 0.0178 memory: 19925 grad_norm: 6.0283 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7149 loss: 2.7149 2022/08/10 15:51:37 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 6.5000e-03 eta: 1 day, 5:14:30 time: 0.8279 data_time: 0.0180 memory: 19925 grad_norm: 6.0023 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7471 loss: 2.7471 2022/08/10 15:51:53 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 6.5000e-03 eta: 1 day, 5:09:56 time: 0.8259 data_time: 0.0171 memory: 19925 grad_norm: 6.0536 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5104 loss: 2.5104 2022/08/10 15:52:10 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 6.5000e-03 eta: 1 day, 5:05:26 time: 0.8260 data_time: 0.0177 memory: 19925 grad_norm: 6.0727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6718 loss: 2.6718 2022/08/10 15:52:26 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 6.5000e-03 eta: 1 day, 5:01:02 time: 0.8272 data_time: 0.0179 memory: 19925 grad_norm: 6.2620 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8319 loss: 2.8319 2022/08/10 15:52:43 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 6.5000e-03 eta: 1 day, 4:56:43 time: 0.8294 data_time: 0.0167 memory: 19925 grad_norm: 6.0574 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6137 loss: 2.6137 2022/08/10 15:53:00 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 6.5000e-03 eta: 1 day, 4:52:28 time: 0.8293 data_time: 0.0186 memory: 19925 grad_norm: 6.1147 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5101 loss: 2.5101 2022/08/10 15:53:16 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 6.5000e-03 eta: 1 day, 4:48:20 time: 0.8331 data_time: 0.0249 memory: 19925 grad_norm: 6.3339 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6248 loss: 2.6248 2022/08/10 15:53:33 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 6.5000e-03 eta: 1 day, 4:44:13 time: 0.8295 data_time: 0.0182 memory: 19925 grad_norm: 6.1467 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7882 loss: 2.7882 2022/08/10 15:53:49 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 6.5000e-03 eta: 1 day, 4:40:08 time: 0.8263 data_time: 0.0169 memory: 19925 grad_norm: 6.0989 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6514 loss: 2.6514 2022/08/10 15:54:06 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 6.5000e-03 eta: 1 day, 4:36:04 time: 0.8243 data_time: 0.0165 memory: 19925 grad_norm: 6.2398 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8319 loss: 2.8319 2022/08/10 15:54:22 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 6.5000e-03 eta: 1 day, 4:32:08 time: 0.8288 data_time: 0.0177 memory: 19925 grad_norm: 6.2024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5695 loss: 2.5695 2022/08/10 15:54:39 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 6.5000e-03 eta: 1 day, 4:28:13 time: 0.8271 data_time: 0.0177 memory: 19925 grad_norm: 6.1748 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5543 loss: 2.5543 2022/08/10 15:54:55 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 6.5000e-03 eta: 1 day, 4:24:21 time: 0.8248 data_time: 0.0173 memory: 19925 grad_norm: 6.1076 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6198 loss: 2.6198 2022/08/10 15:55:12 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 6.5000e-03 eta: 1 day, 4:20:35 time: 0.8304 data_time: 0.0183 memory: 19925 grad_norm: 6.1276 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6355 loss: 2.6355 2022/08/10 15:55:28 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 6.5000e-03 eta: 1 day, 4:16:48 time: 0.8239 data_time: 0.0176 memory: 19925 grad_norm: 6.0779 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5278 loss: 2.5278 2022/08/10 15:55:45 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 6.5000e-03 eta: 1 day, 4:13:05 time: 0.8244 data_time: 0.0168 memory: 19925 grad_norm: 6.1970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3340 loss: 2.3340 2022/08/10 15:56:01 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 6.5000e-03 eta: 1 day, 4:09:26 time: 0.8260 data_time: 0.0175 memory: 19925 grad_norm: 6.1983 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6208 loss: 2.6208 2022/08/10 15:56:18 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 6.5000e-03 eta: 1 day, 4:05:53 time: 0.8303 data_time: 0.0173 memory: 19925 grad_norm: 6.0941 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5810 loss: 2.5810 2022/08/10 15:56:35 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 6.5000e-03 eta: 1 day, 4:02:20 time: 0.8256 data_time: 0.0177 memory: 19925 grad_norm: 6.0482 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6893 loss: 2.6893 2022/08/10 15:56:51 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 6.5000e-03 eta: 1 day, 3:58:49 time: 0.8254 data_time: 0.0167 memory: 19925 grad_norm: 6.1684 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4242 loss: 2.4242 2022/08/10 15:57:08 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 6.5000e-03 eta: 1 day, 3:55:22 time: 0.8268 data_time: 0.0167 memory: 19925 grad_norm: 6.0142 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5878 loss: 2.5878 2022/08/10 15:57:24 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 6.5000e-03 eta: 1 day, 3:51:57 time: 0.8240 data_time: 0.0172 memory: 19925 grad_norm: 6.0867 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4491 loss: 2.4491 2022/08/10 15:57:41 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 6.5000e-03 eta: 1 day, 3:48:35 time: 0.8268 data_time: 0.0170 memory: 19925 grad_norm: 6.0712 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4478 loss: 2.4478 2022/08/10 15:57:59 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 6.5000e-03 eta: 1 day, 3:46:08 time: 0.9059 data_time: 0.0180 memory: 19925 grad_norm: 6.0762 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6151 loss: 2.6151 2022/08/10 15:58:15 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 6.5000e-03 eta: 1 day, 3:42:50 time: 0.8241 data_time: 0.0177 memory: 19925 grad_norm: 6.3273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3020 loss: 2.3020 2022/08/10 15:58:32 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 6.5000e-03 eta: 1 day, 3:39:34 time: 0.8240 data_time: 0.0170 memory: 19925 grad_norm: 6.1081 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5281 loss: 2.5281 2022/08/10 15:58:48 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 6.5000e-03 eta: 1 day, 3:36:24 time: 0.8286 data_time: 0.0158 memory: 19925 grad_norm: 6.2756 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5655 loss: 2.5655 2022/08/10 15:59:05 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 6.5000e-03 eta: 1 day, 3:33:16 time: 0.8282 data_time: 0.0191 memory: 19925 grad_norm: 6.2331 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3363 loss: 2.3363 2022/08/10 15:59:21 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 6.5000e-03 eta: 1 day, 3:30:09 time: 0.8263 data_time: 0.0162 memory: 19925 grad_norm: 6.2561 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7229 loss: 2.7229 2022/08/10 15:59:38 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 6.5000e-03 eta: 1 day, 3:27:08 time: 0.8318 data_time: 0.0174 memory: 19925 grad_norm: 6.1785 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4615 loss: 2.4615 2022/08/10 15:59:55 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 6.5000e-03 eta: 1 day, 3:24:05 time: 0.8250 data_time: 0.0173 memory: 19925 grad_norm: 6.1333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4092 loss: 2.4092 2022/08/10 16:00:11 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 6.5000e-03 eta: 1 day, 3:21:09 time: 0.8329 data_time: 0.0176 memory: 19925 grad_norm: 6.3195 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5280 loss: 2.5280 2022/08/10 16:00:28 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 6.5000e-03 eta: 1 day, 3:18:14 time: 0.8319 data_time: 0.0174 memory: 19925 grad_norm: 6.3508 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.7490 loss: 2.7490 2022/08/10 16:00:44 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 6.5000e-03 eta: 1 day, 3:15:19 time: 0.8273 data_time: 0.0173 memory: 19925 grad_norm: 6.3013 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2867 loss: 2.2867 2022/08/10 16:00:45 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 16:01:01 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 6.5000e-03 eta: 1 day, 3:12:29 time: 0.8323 data_time: 0.0159 memory: 19925 grad_norm: 6.2117 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5753 loss: 2.5753 2022/08/10 16:01:18 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 6.5000e-03 eta: 1 day, 3:09:36 time: 0.8244 data_time: 0.0171 memory: 19925 grad_norm: 6.1382 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5236 loss: 2.5236 2022/08/10 16:01:34 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 6.5000e-03 eta: 1 day, 3:06:47 time: 0.8270 data_time: 0.0171 memory: 19925 grad_norm: 6.1622 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5979 loss: 2.5979 2022/08/10 16:01:51 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 6.5000e-03 eta: 1 day, 3:04:01 time: 0.8300 data_time: 0.0168 memory: 19925 grad_norm: 6.2607 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5149 loss: 2.5149 2022/08/10 16:02:07 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 6.5000e-03 eta: 1 day, 3:01:17 time: 0.8288 data_time: 0.0168 memory: 19925 grad_norm: 6.2575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7533 loss: 2.7533 2022/08/10 16:02:24 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 6.5000e-03 eta: 1 day, 2:58:36 time: 0.8311 data_time: 0.0178 memory: 19925 grad_norm: 6.2550 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5468 loss: 2.5468 2022/08/10 16:02:41 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 6.5000e-03 eta: 1 day, 2:55:59 time: 0.8351 data_time: 0.0252 memory: 19925 grad_norm: 6.1289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5968 loss: 2.5968 2022/08/10 16:02:57 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 6.5000e-03 eta: 1 day, 2:53:21 time: 0.8286 data_time: 0.0173 memory: 19925 grad_norm: 6.1857 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4412 loss: 2.4412 2022/08/10 16:03:14 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 6.5000e-03 eta: 1 day, 2:50:43 time: 0.8277 data_time: 0.0165 memory: 19925 grad_norm: 6.0620 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2583 loss: 2.2583 2022/08/10 16:03:30 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 6.5000e-03 eta: 1 day, 2:48:12 time: 0.8363 data_time: 0.0257 memory: 19925 grad_norm: 6.0749 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3791 loss: 2.3791 2022/08/10 16:03:47 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 6.5000e-03 eta: 1 day, 2:45:39 time: 0.8293 data_time: 0.0171 memory: 19925 grad_norm: 6.0023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4177 loss: 2.4177 2022/08/10 16:04:04 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 6.5000e-03 eta: 1 day, 2:43:05 time: 0.8242 data_time: 0.0165 memory: 19925 grad_norm: 6.2538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4523 loss: 2.4523 2022/08/10 16:04:20 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 6.5000e-03 eta: 1 day, 2:40:34 time: 0.8281 data_time: 0.0178 memory: 19925 grad_norm: 6.2302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6321 loss: 2.6321 2022/08/10 16:04:37 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 6.5000e-03 eta: 1 day, 2:38:05 time: 0.8271 data_time: 0.0173 memory: 19925 grad_norm: 6.2064 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3970 loss: 2.3970 2022/08/10 16:04:53 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 6.5000e-03 eta: 1 day, 2:35:37 time: 0.8274 data_time: 0.0179 memory: 19925 grad_norm: 6.2685 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.4632 loss: 2.4632 2022/08/10 16:05:10 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 6.5000e-03 eta: 1 day, 2:33:11 time: 0.8266 data_time: 0.0170 memory: 19925 grad_norm: 6.0955 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4242 loss: 2.4242 2022/08/10 16:05:26 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 6.5000e-03 eta: 1 day, 2:30:45 time: 0.8251 data_time: 0.0174 memory: 19925 grad_norm: 6.2360 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3111 loss: 2.3111 2022/08/10 16:05:43 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 6.5000e-03 eta: 1 day, 2:28:22 time: 0.8267 data_time: 0.0163 memory: 19925 grad_norm: 6.1614 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4753 loss: 2.4753 2022/08/10 16:05:59 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 6.5000e-03 eta: 1 day, 2:26:00 time: 0.8264 data_time: 0.0180 memory: 19925 grad_norm: 6.0867 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3814 loss: 2.3814 2022/08/10 16:06:16 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 6.5000e-03 eta: 1 day, 2:23:38 time: 0.8246 data_time: 0.0174 memory: 19925 grad_norm: 6.1226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3878 loss: 2.3878 2022/08/10 16:06:32 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 6.5000e-03 eta: 1 day, 2:21:18 time: 0.8233 data_time: 0.0164 memory: 19925 grad_norm: 6.0285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1964 loss: 2.1964 2022/08/10 16:06:49 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 6.5000e-03 eta: 1 day, 2:18:58 time: 0.8217 data_time: 0.0166 memory: 19925 grad_norm: 6.0917 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.4103 loss: 2.4103 2022/08/10 16:07:05 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 6.5000e-03 eta: 1 day, 2:16:39 time: 0.8222 data_time: 0.0172 memory: 19925 grad_norm: 6.2698 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4824 loss: 2.4824 2022/08/10 16:07:22 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 6.5000e-03 eta: 1 day, 2:14:24 time: 0.8264 data_time: 0.0174 memory: 19925 grad_norm: 6.2905 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5290 loss: 2.5290 2022/08/10 16:07:38 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 6.5000e-03 eta: 1 day, 2:12:09 time: 0.8226 data_time: 0.0168 memory: 19925 grad_norm: 6.2656 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4228 loss: 2.4228 2022/08/10 16:07:57 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 6.5000e-03 eta: 1 day, 2:10:55 time: 0.9397 data_time: 0.0179 memory: 19925 grad_norm: 6.0883 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4924 loss: 2.4924 2022/08/10 16:08:13 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 6.5000e-03 eta: 1 day, 2:08:43 time: 0.8248 data_time: 0.0164 memory: 19925 grad_norm: 6.2538 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.5109 loss: 2.5109 2022/08/10 16:08:30 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 6.5000e-03 eta: 1 day, 2:06:33 time: 0.8261 data_time: 0.0173 memory: 19925 grad_norm: 6.1453 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1368 loss: 2.1368 2022/08/10 16:08:46 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 6.5000e-03 eta: 1 day, 2:04:24 time: 0.8250 data_time: 0.0179 memory: 19925 grad_norm: 6.1500 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2207 loss: 2.2207 2022/08/10 16:09:03 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 6.5000e-03 eta: 1 day, 2:02:15 time: 0.8244 data_time: 0.0168 memory: 19925 grad_norm: 6.1691 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1406 loss: 2.1406 2022/08/10 16:09:19 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 6.5000e-03 eta: 1 day, 2:00:10 time: 0.8281 data_time: 0.0169 memory: 19925 grad_norm: 6.2608 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5631 loss: 2.5631 2022/08/10 16:09:36 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 6.5000e-03 eta: 1 day, 1:58:03 time: 0.8229 data_time: 0.0168 memory: 19925 grad_norm: 6.3050 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4365 loss: 2.4365 2022/08/10 16:09:52 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 6.5000e-03 eta: 1 day, 1:55:59 time: 0.8249 data_time: 0.0180 memory: 19925 grad_norm: 6.1643 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3752 loss: 2.3752 2022/08/10 16:10:09 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 6.5000e-03 eta: 1 day, 1:53:58 time: 0.8292 data_time: 0.0196 memory: 19925 grad_norm: 6.1647 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3882 loss: 2.3882 2022/08/10 16:10:26 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 6.5000e-03 eta: 1 day, 1:51:59 time: 0.8323 data_time: 0.0186 memory: 19925 grad_norm: 6.2051 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3787 loss: 2.3787 2022/08/10 16:10:42 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 6.5000e-03 eta: 1 day, 1:50:01 time: 0.8296 data_time: 0.0164 memory: 19925 grad_norm: 6.3488 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5102 loss: 2.5102 2022/08/10 16:10:59 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 6.5000e-03 eta: 1 day, 1:48:02 time: 0.8287 data_time: 0.0164 memory: 19925 grad_norm: 6.0909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3253 loss: 2.3253 2022/08/10 16:11:14 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 16:11:14 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 6.5000e-03 eta: 1 day, 1:48:02 time: 0.8113 data_time: 0.0188 memory: 19925 grad_norm: 6.3998 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.3739 loss: 2.3739 2022/08/10 16:11:31 - mmengine - INFO - Epoch(val) [2][20/155] eta: 0:01:54 time: 0.8463 data_time: 0.6121 memory: 2570 2022/08/10 16:11:39 - mmengine - INFO - Epoch(val) [2][40/155] eta: 0:00:44 time: 0.3834 data_time: 0.1513 memory: 2570 2022/08/10 16:11:51 - mmengine - INFO - Epoch(val) [2][60/155] eta: 0:00:57 time: 0.6010 data_time: 0.3693 memory: 2570 2022/08/10 16:11:59 - mmengine - INFO - Epoch(val) [2][80/155] eta: 0:00:32 time: 0.4292 data_time: 0.1977 memory: 2570 2022/08/10 16:12:11 - mmengine - INFO - Epoch(val) [2][100/155] eta: 0:00:32 time: 0.5902 data_time: 0.3568 memory: 2570 2022/08/10 16:12:24 - mmengine - INFO - Epoch(val) [2][120/155] eta: 0:00:22 time: 0.6449 data_time: 0.4144 memory: 2570 2022/08/10 16:12:36 - mmengine - INFO - Epoch(val) [2][140/155] eta: 0:00:09 time: 0.6055 data_time: 0.3759 memory: 2570 2022/08/10 16:12:52 - mmengine - INFO - Epoch(val) [2][155/155] acc/top1: 0.4792 acc/top5: 0.7541 acc/mean1: 0.4788 2022/08/10 16:12:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/10 16:12:53 - mmengine - INFO - The best checkpoint with 0.4792 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/10 16:13:17 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 1.1000e-02 eta: 1 day, 1:40:53 time: 1.1926 data_time: 0.3821 memory: 19925 grad_norm: 6.3753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3219 loss: 2.3219 2022/08/10 16:13:34 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 1.1000e-02 eta: 1 day, 1:39:02 time: 0.8353 data_time: 0.0159 memory: 19925 grad_norm: 6.4144 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7721 loss: 2.7721 2022/08/10 16:13:50 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 1.1000e-02 eta: 1 day, 1:37:08 time: 0.8259 data_time: 0.0169 memory: 19925 grad_norm: 6.3273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4591 loss: 2.4591 2022/08/10 16:14:07 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 1.1000e-02 eta: 1 day, 1:35:16 time: 0.8281 data_time: 0.0168 memory: 19925 grad_norm: 6.1276 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4964 loss: 2.4964 2022/08/10 16:14:23 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 1.1000e-02 eta: 1 day, 1:33:24 time: 0.8260 data_time: 0.0182 memory: 19925 grad_norm: 6.2331 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.5480 loss: 2.5480 2022/08/10 16:14:40 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 1.1000e-02 eta: 1 day, 1:31:35 time: 0.8313 data_time: 0.0156 memory: 19925 grad_norm: 6.1799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5370 loss: 2.5370 2022/08/10 16:14:57 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 1.1000e-02 eta: 1 day, 1:29:44 time: 0.8225 data_time: 0.0184 memory: 19925 grad_norm: 6.3133 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.4625 loss: 2.4625 2022/08/10 16:15:13 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 1.1000e-02 eta: 1 day, 1:27:55 time: 0.8266 data_time: 0.0176 memory: 19925 grad_norm: 6.2110 top1_acc: 0.0625 top5_acc: 0.5625 loss_cls: 2.7135 loss: 2.7135 2022/08/10 16:15:30 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 1.1000e-02 eta: 1 day, 1:26:14 time: 0.8414 data_time: 0.0173 memory: 19925 grad_norm: 6.2094 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.8310 loss: 2.8310 2022/08/10 16:15:46 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 1.1000e-02 eta: 1 day, 1:24:25 time: 0.8234 data_time: 0.0172 memory: 19925 grad_norm: 6.0489 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6384 loss: 2.6384 2022/08/10 16:16:03 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 1.1000e-02 eta: 1 day, 1:22:40 time: 0.8290 data_time: 0.0175 memory: 19925 grad_norm: 6.1103 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6490 loss: 2.6490 2022/08/10 16:16:19 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 1.1000e-02 eta: 1 day, 1:20:54 time: 0.8258 data_time: 0.0166 memory: 19925 grad_norm: 6.0717 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5022 loss: 2.5022 2022/08/10 16:16:21 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 16:16:36 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 1.1000e-02 eta: 1 day, 1:19:10 time: 0.8261 data_time: 0.0163 memory: 19925 grad_norm: 6.1555 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7357 loss: 2.7357 2022/08/10 16:16:53 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 1.1000e-02 eta: 1 day, 1:17:28 time: 0.8311 data_time: 0.0161 memory: 19925 grad_norm: 6.0720 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5583 loss: 2.5583 2022/08/10 16:17:09 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 1.1000e-02 eta: 1 day, 1:15:48 time: 0.8327 data_time: 0.0172 memory: 19925 grad_norm: 6.0609 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.5944 loss: 2.5944 2022/08/10 16:17:26 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 1.1000e-02 eta: 1 day, 1:14:07 time: 0.8275 data_time: 0.0160 memory: 19925 grad_norm: 5.9245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6417 loss: 2.6417 2022/08/10 16:17:42 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 1.1000e-02 eta: 1 day, 1:12:26 time: 0.8281 data_time: 0.0174 memory: 19925 grad_norm: 6.0792 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6438 loss: 2.6438 2022/08/10 16:18:00 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 1.1000e-02 eta: 1 day, 1:11:19 time: 0.9020 data_time: 0.0169 memory: 19925 grad_norm: 6.0938 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5105 loss: 2.5105 2022/08/10 16:18:17 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 1.1000e-02 eta: 1 day, 1:09:41 time: 0.8301 data_time: 0.0185 memory: 19925 grad_norm: 5.9453 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3919 loss: 2.3919 2022/08/10 16:18:34 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 1.1000e-02 eta: 1 day, 1:08:03 time: 0.8289 data_time: 0.0160 memory: 19925 grad_norm: 6.0624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6578 loss: 2.6578 2022/08/10 16:18:50 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 1.1000e-02 eta: 1 day, 1:06:25 time: 0.8264 data_time: 0.0165 memory: 19925 grad_norm: 6.0730 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5360 loss: 2.5360 2022/08/10 16:19:07 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 1.1000e-02 eta: 1 day, 1:04:50 time: 0.8320 data_time: 0.0183 memory: 19925 grad_norm: 5.9856 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5037 loss: 2.5037 2022/08/10 16:19:24 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 1.1000e-02 eta: 1 day, 1:03:18 time: 0.8370 data_time: 0.0217 memory: 19925 grad_norm: 5.9191 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5155 loss: 2.5155 2022/08/10 16:19:40 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 1.1000e-02 eta: 1 day, 1:01:45 time: 0.8318 data_time: 0.0168 memory: 19925 grad_norm: 5.9113 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3344 loss: 2.3344 2022/08/10 16:19:57 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 1.1000e-02 eta: 1 day, 1:00:13 time: 0.8337 data_time: 0.0164 memory: 19925 grad_norm: 5.9426 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5216 loss: 2.5216 2022/08/10 16:20:14 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 1.1000e-02 eta: 1 day, 0:58:42 time: 0.8352 data_time: 0.0184 memory: 19925 grad_norm: 6.0853 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4312 loss: 2.4312 2022/08/10 16:20:30 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 1.1000e-02 eta: 1 day, 0:57:17 time: 0.8469 data_time: 0.0191 memory: 19925 grad_norm: 5.8772 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6846 loss: 2.6846 2022/08/10 16:20:47 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 1.1000e-02 eta: 1 day, 0:55:44 time: 0.8268 data_time: 0.0164 memory: 19925 grad_norm: 5.9054 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4828 loss: 2.4828 2022/08/10 16:21:04 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 1.1000e-02 eta: 1 day, 0:54:13 time: 0.8301 data_time: 0.0170 memory: 19925 grad_norm: 5.9302 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3102 loss: 2.3102 2022/08/10 16:21:20 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 1.1000e-02 eta: 1 day, 0:52:44 time: 0.8316 data_time: 0.0225 memory: 19925 grad_norm: 6.0833 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6040 loss: 2.6040 2022/08/10 16:21:37 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 1.1000e-02 eta: 1 day, 0:51:13 time: 0.8272 data_time: 0.0178 memory: 19925 grad_norm: 6.0280 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7706 loss: 2.7706 2022/08/10 16:21:53 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 1.1000e-02 eta: 1 day, 0:49:43 time: 0.8268 data_time: 0.0168 memory: 19925 grad_norm: 5.8523 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7174 loss: 2.7174 2022/08/10 16:22:10 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 1.1000e-02 eta: 1 day, 0:48:14 time: 0.8282 data_time: 0.0165 memory: 19925 grad_norm: 5.8067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5136 loss: 2.5136 2022/08/10 16:22:26 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 1.1000e-02 eta: 1 day, 0:46:46 time: 0.8275 data_time: 0.0168 memory: 19925 grad_norm: 5.9413 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5845 loss: 2.5845 2022/08/10 16:22:43 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 1.1000e-02 eta: 1 day, 0:45:19 time: 0.8285 data_time: 0.0171 memory: 19925 grad_norm: 5.9132 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6830 loss: 2.6830 2022/08/10 16:23:00 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 1.1000e-02 eta: 1 day, 0:43:53 time: 0.8308 data_time: 0.0179 memory: 19925 grad_norm: 5.8999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3988 loss: 2.3988 2022/08/10 16:23:16 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 1.1000e-02 eta: 1 day, 0:42:28 time: 0.8327 data_time: 0.0159 memory: 19925 grad_norm: 5.8869 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6394 loss: 2.6394 2022/08/10 16:23:33 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 1.1000e-02 eta: 1 day, 0:41:03 time: 0.8284 data_time: 0.0177 memory: 19925 grad_norm: 5.7902 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4916 loss: 2.4916 2022/08/10 16:23:49 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 1.1000e-02 eta: 1 day, 0:39:37 time: 0.8261 data_time: 0.0173 memory: 19925 grad_norm: 5.8047 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4753 loss: 2.4753 2022/08/10 16:24:06 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 1.1000e-02 eta: 1 day, 0:38:14 time: 0.8320 data_time: 0.0172 memory: 19925 grad_norm: 5.7507 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.5542 loss: 2.5542 2022/08/10 16:24:23 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 1.1000e-02 eta: 1 day, 0:36:53 time: 0.8364 data_time: 0.0181 memory: 19925 grad_norm: 5.7542 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3161 loss: 2.3161 2022/08/10 16:24:39 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 1.1000e-02 eta: 1 day, 0:35:30 time: 0.8294 data_time: 0.0165 memory: 19925 grad_norm: 5.7252 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3923 loss: 2.3923 2022/08/10 16:24:56 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 1.1000e-02 eta: 1 day, 0:34:09 time: 0.8317 data_time: 0.0174 memory: 19925 grad_norm: 5.6356 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.3486 loss: 2.3486 2022/08/10 16:25:13 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 1.1000e-02 eta: 1 day, 0:32:50 time: 0.8359 data_time: 0.0204 memory: 19925 grad_norm: 5.7921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2850 loss: 2.2850 2022/08/10 16:25:29 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 1.1000e-02 eta: 1 day, 0:31:32 time: 0.8378 data_time: 0.0187 memory: 19925 grad_norm: 5.6635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2097 loss: 2.2097 2022/08/10 16:25:46 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 1.1000e-02 eta: 1 day, 0:30:10 time: 0.8274 data_time: 0.0166 memory: 19925 grad_norm: 5.6592 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7211 loss: 2.7211 2022/08/10 16:26:03 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 1.1000e-02 eta: 1 day, 0:28:51 time: 0.8319 data_time: 0.0181 memory: 19925 grad_norm: 5.7506 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2118 loss: 2.2118 2022/08/10 16:26:19 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 1.1000e-02 eta: 1 day, 0:27:30 time: 0.8254 data_time: 0.0174 memory: 19925 grad_norm: 5.6907 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3867 loss: 2.3867 2022/08/10 16:26:36 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 1.1000e-02 eta: 1 day, 0:26:12 time: 0.8304 data_time: 0.0156 memory: 19925 grad_norm: 5.6292 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5000 loss: 2.5000 2022/08/10 16:26:52 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 1.1000e-02 eta: 1 day, 0:24:53 time: 0.8279 data_time: 0.0172 memory: 19925 grad_norm: 5.6417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4675 loss: 2.4675 2022/08/10 16:27:09 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 1.1000e-02 eta: 1 day, 0:23:33 time: 0.8261 data_time: 0.0165 memory: 19925 grad_norm: 5.8299 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3925 loss: 2.3925 2022/08/10 16:27:25 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 1.1000e-02 eta: 1 day, 0:22:16 time: 0.8283 data_time: 0.0163 memory: 19925 grad_norm: 5.7822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5756 loss: 2.5756 2022/08/10 16:27:42 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 1.1000e-02 eta: 1 day, 0:20:59 time: 0.8301 data_time: 0.0193 memory: 19925 grad_norm: 5.6966 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3695 loss: 2.3695 2022/08/10 16:28:00 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 1.1000e-02 eta: 1 day, 0:20:07 time: 0.8968 data_time: 0.0862 memory: 19925 grad_norm: 5.6808 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4875 loss: 2.4875 2022/08/10 16:28:16 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 1.1000e-02 eta: 1 day, 0:18:50 time: 0.8274 data_time: 0.0170 memory: 19925 grad_norm: 5.6065 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4314 loss: 2.4314 2022/08/10 16:28:33 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 1.1000e-02 eta: 1 day, 0:17:34 time: 0.8280 data_time: 0.0180 memory: 19925 grad_norm: 5.7354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4213 loss: 2.4213 2022/08/10 16:28:50 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 1.1000e-02 eta: 1 day, 0:16:19 time: 0.8293 data_time: 0.0170 memory: 19925 grad_norm: 5.6604 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1429 loss: 2.1429 2022/08/10 16:29:06 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 1.1000e-02 eta: 1 day, 0:15:05 time: 0.8300 data_time: 0.0178 memory: 19925 grad_norm: 5.5413 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4961 loss: 2.4961 2022/08/10 16:29:23 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 1.1000e-02 eta: 1 day, 0:13:50 time: 0.8277 data_time: 0.0176 memory: 19925 grad_norm: 5.7284 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4792 loss: 2.4792 2022/08/10 16:29:39 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 1.1000e-02 eta: 1 day, 0:12:36 time: 0.8281 data_time: 0.0169 memory: 19925 grad_norm: 5.6664 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3976 loss: 2.3976 2022/08/10 16:29:56 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 1.1000e-02 eta: 1 day, 0:11:21 time: 0.8255 data_time: 0.0172 memory: 19925 grad_norm: 5.6200 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4229 loss: 2.4229 2022/08/10 16:30:13 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 1.1000e-02 eta: 1 day, 0:10:10 time: 0.8338 data_time: 0.0171 memory: 19925 grad_norm: 5.6778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4895 loss: 2.4895 2022/08/10 16:30:14 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 16:30:33 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 1.1000e-02 eta: 1 day, 0:10:12 time: 1.0382 data_time: 0.0210 memory: 19925 grad_norm: 5.6933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5310 loss: 2.5310 2022/08/10 16:30:50 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 1.1000e-02 eta: 1 day, 0:09:02 time: 0.8346 data_time: 0.0168 memory: 19925 grad_norm: 5.7546 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3990 loss: 2.3990 2022/08/10 16:31:07 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 1.1000e-02 eta: 1 day, 0:07:52 time: 0.8366 data_time: 0.0175 memory: 19925 grad_norm: 5.6455 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3810 loss: 2.3810 2022/08/10 16:31:24 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 1.1000e-02 eta: 1 day, 0:06:45 time: 0.8414 data_time: 0.0153 memory: 19925 grad_norm: 5.7016 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4737 loss: 2.4737 2022/08/10 16:31:40 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 1.1000e-02 eta: 1 day, 0:05:36 time: 0.8345 data_time: 0.0160 memory: 19925 grad_norm: 5.7422 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4559 loss: 2.4559 2022/08/10 16:31:57 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 1.1000e-02 eta: 1 day, 0:04:27 time: 0.8322 data_time: 0.0160 memory: 19925 grad_norm: 5.7414 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5937 loss: 2.5937 2022/08/10 16:32:14 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 1.1000e-02 eta: 1 day, 0:03:17 time: 0.8314 data_time: 0.0167 memory: 19925 grad_norm: 5.6091 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3471 loss: 2.3471 2022/08/10 16:32:30 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 1.1000e-02 eta: 1 day, 0:02:07 time: 0.8268 data_time: 0.0179 memory: 19925 grad_norm: 5.5117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3544 loss: 2.3544 2022/08/10 16:32:47 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 1.1000e-02 eta: 1 day, 0:00:58 time: 0.8293 data_time: 0.0153 memory: 19925 grad_norm: 5.5436 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5695 loss: 2.5695 2022/08/10 16:33:03 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 1.1000e-02 eta: 23:59:49 time: 0.8302 data_time: 0.0171 memory: 19925 grad_norm: 5.6762 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5442 loss: 2.5442 2022/08/10 16:33:20 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 1.1000e-02 eta: 23:58:41 time: 0.8316 data_time: 0.0177 memory: 19925 grad_norm: 5.5278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2731 loss: 2.2731 2022/08/10 16:33:37 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 1.1000e-02 eta: 23:57:35 time: 0.8345 data_time: 0.0168 memory: 19925 grad_norm: 5.4368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3703 loss: 2.3703 2022/08/10 16:33:53 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 1.1000e-02 eta: 23:56:29 time: 0.8348 data_time: 0.0174 memory: 19925 grad_norm: 5.7105 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6188 loss: 2.6188 2022/08/10 16:34:10 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 1.1000e-02 eta: 23:55:25 time: 0.8388 data_time: 0.0170 memory: 19925 grad_norm: 5.7027 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4541 loss: 2.4541 2022/08/10 16:34:27 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 1.1000e-02 eta: 23:54:20 time: 0.8352 data_time: 0.0172 memory: 19925 grad_norm: 5.5024 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3874 loss: 2.3874 2022/08/10 16:34:44 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 1.1000e-02 eta: 23:53:19 time: 0.8442 data_time: 0.0234 memory: 19925 grad_norm: 5.5266 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4522 loss: 2.4522 2022/08/10 16:35:03 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 1.1000e-02 eta: 23:52:57 time: 0.9638 data_time: 0.0162 memory: 19925 grad_norm: 5.5695 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2655 loss: 2.2655 2022/08/10 16:35:20 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 1.1000e-02 eta: 23:51:54 time: 0.8380 data_time: 0.0190 memory: 19925 grad_norm: 5.6617 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4720 loss: 2.4720 2022/08/10 16:35:36 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 1.1000e-02 eta: 23:50:52 time: 0.8401 data_time: 0.0162 memory: 19925 grad_norm: 5.5253 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4190 loss: 2.4190 2022/08/10 16:35:53 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 1.1000e-02 eta: 23:49:48 time: 0.8329 data_time: 0.0171 memory: 19925 grad_norm: 5.4815 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3792 loss: 2.3792 2022/08/10 16:36:10 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 1.1000e-02 eta: 23:48:45 time: 0.8355 data_time: 0.0164 memory: 19925 grad_norm: 5.3313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3346 loss: 2.3346 2022/08/10 16:36:27 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 1.1000e-02 eta: 23:47:41 time: 0.8327 data_time: 0.0166 memory: 19925 grad_norm: 5.5089 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.3330 loss: 2.3330 2022/08/10 16:36:43 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 1.1000e-02 eta: 23:46:40 time: 0.8379 data_time: 0.0178 memory: 19925 grad_norm: 5.6411 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5534 loss: 2.5534 2022/08/10 16:37:00 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 1.1000e-02 eta: 23:45:35 time: 0.8283 data_time: 0.0164 memory: 19925 grad_norm: 5.5417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3545 loss: 2.3545 2022/08/10 16:37:17 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 1.1000e-02 eta: 23:44:34 time: 0.8358 data_time: 0.0170 memory: 19925 grad_norm: 5.5340 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0905 loss: 2.0905 2022/08/10 16:37:33 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 1.1000e-02 eta: 23:43:32 time: 0.8344 data_time: 0.0167 memory: 19925 grad_norm: 5.4520 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2514 loss: 2.2514 2022/08/10 16:37:51 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 1.1000e-02 eta: 23:42:37 time: 0.8527 data_time: 0.0170 memory: 19925 grad_norm: 5.5087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3821 loss: 2.3821 2022/08/10 16:38:10 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 1.1000e-02 eta: 23:42:21 time: 0.9779 data_time: 0.0448 memory: 19925 grad_norm: 5.4702 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5622 loss: 2.5622 2022/08/10 16:38:29 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 1.1000e-02 eta: 23:41:57 time: 0.9494 data_time: 0.0156 memory: 19925 grad_norm: 5.4572 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5232 loss: 2.5232 2022/08/10 16:38:46 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 1.1000e-02 eta: 23:41:03 time: 0.8554 data_time: 0.0164 memory: 19925 grad_norm: 5.4973 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3332 loss: 2.3332 2022/08/10 16:39:03 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 1.1000e-02 eta: 23:40:03 time: 0.8343 data_time: 0.0164 memory: 19925 grad_norm: 5.5247 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2835 loss: 2.2835 2022/08/10 16:39:19 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 16:39:19 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 1.1000e-02 eta: 23:40:03 time: 0.8510 data_time: 0.0150 memory: 19925 grad_norm: 5.6080 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 2.3230 loss: 2.3230 2022/08/10 16:39:19 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/10 16:39:43 - mmengine - INFO - Epoch(val) [3][20/155] eta: 0:02:28 time: 1.0976 data_time: 0.8659 memory: 2570 2022/08/10 16:39:51 - mmengine - INFO - Epoch(val) [3][40/155] eta: 0:00:49 time: 0.4301 data_time: 0.2011 memory: 2570 2022/08/10 16:40:02 - mmengine - INFO - Epoch(val) [3][60/155] eta: 0:00:52 time: 0.5489 data_time: 0.3168 memory: 2570 2022/08/10 16:40:15 - mmengine - INFO - Epoch(val) [3][80/155] eta: 0:00:47 time: 0.6281 data_time: 0.3974 memory: 2570 2022/08/10 16:40:28 - mmengine - INFO - Epoch(val) [3][100/155] eta: 0:00:35 time: 0.6511 data_time: 0.4212 memory: 2570 2022/08/10 16:40:41 - mmengine - INFO - Epoch(val) [3][120/155] eta: 0:00:22 time: 0.6434 data_time: 0.4131 memory: 2570 2022/08/10 16:40:57 - mmengine - INFO - Epoch(val) [3][140/155] eta: 0:00:12 time: 0.8007 data_time: 0.5707 memory: 2570 2022/08/10 16:41:09 - mmengine - INFO - Epoch(val) [3][155/155] acc/top1: 0.4988 acc/top5: 0.7663 acc/mean1: 0.4987 2022/08/10 16:41:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/10 16:41:11 - mmengine - INFO - The best checkpoint with 0.4988 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/10 16:41:32 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 1.5500e-02 eta: 23:35:04 time: 1.0454 data_time: 0.2090 memory: 19925 grad_norm: 5.4836 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2255 loss: 2.2255 2022/08/10 16:41:48 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 1.5500e-02 eta: 23:34:06 time: 0.8351 data_time: 0.0153 memory: 19925 grad_norm: 5.5400 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6735 loss: 2.6735 2022/08/10 16:42:05 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 1.5500e-02 eta: 23:33:07 time: 0.8338 data_time: 0.0173 memory: 19925 grad_norm: 5.4897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2573 loss: 2.2573 2022/08/10 16:42:22 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 1.5500e-02 eta: 23:32:07 time: 0.8274 data_time: 0.0149 memory: 19925 grad_norm: 5.6211 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4571 loss: 2.4571 2022/08/10 16:42:38 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 1.5500e-02 eta: 23:31:11 time: 0.8415 data_time: 0.0180 memory: 19925 grad_norm: 5.4576 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4356 loss: 2.4356 2022/08/10 16:42:55 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 1.5500e-02 eta: 23:30:13 time: 0.8353 data_time: 0.0158 memory: 19925 grad_norm: 5.4847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3122 loss: 2.3122 2022/08/10 16:43:12 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 1.5500e-02 eta: 23:29:16 time: 0.8333 data_time: 0.0177 memory: 19925 grad_norm: 5.4328 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.5308 loss: 2.5308 2022/08/10 16:43:28 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 1.5500e-02 eta: 23:28:18 time: 0.8325 data_time: 0.0150 memory: 19925 grad_norm: 5.3319 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3305 loss: 2.3305 2022/08/10 16:43:45 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 1.5500e-02 eta: 23:27:21 time: 0.8345 data_time: 0.0170 memory: 19925 grad_norm: 5.4274 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5983 loss: 2.5983 2022/08/10 16:44:02 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 1.5500e-02 eta: 23:26:23 time: 0.8297 data_time: 0.0167 memory: 19925 grad_norm: 5.3549 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5221 loss: 2.5221 2022/08/10 16:44:18 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 1.5500e-02 eta: 23:25:26 time: 0.8294 data_time: 0.0167 memory: 19925 grad_norm: 5.4430 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5470 loss: 2.5470 2022/08/10 16:44:35 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 1.5500e-02 eta: 23:24:30 time: 0.8359 data_time: 0.0169 memory: 19925 grad_norm: 5.3972 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6056 loss: 2.6056 2022/08/10 16:44:52 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 1.5500e-02 eta: 23:23:35 time: 0.8374 data_time: 0.0194 memory: 19925 grad_norm: 5.4121 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4255 loss: 2.4255 2022/08/10 16:45:09 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 1.5500e-02 eta: 23:22:41 time: 0.8378 data_time: 0.0172 memory: 19925 grad_norm: 5.3508 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3867 loss: 2.3867 2022/08/10 16:45:29 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 1.5500e-02 eta: 23:22:41 time: 1.0220 data_time: 0.0195 memory: 19925 grad_norm: 5.2361 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4455 loss: 2.4455 2022/08/10 16:45:46 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 1.5500e-02 eta: 23:21:47 time: 0.8360 data_time: 0.0166 memory: 19925 grad_norm: 5.2718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4883 loss: 2.4883 2022/08/10 16:46:02 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 1.5500e-02 eta: 23:20:52 time: 0.8350 data_time: 0.0160 memory: 19925 grad_norm: 5.1315 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2315 loss: 2.2315 2022/08/10 16:46:19 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 1.5500e-02 eta: 23:19:58 time: 0.8347 data_time: 0.0171 memory: 19925 grad_norm: 5.2771 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3620 loss: 2.3620 2022/08/10 16:46:22 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 16:46:36 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 1.5500e-02 eta: 23:19:05 time: 0.8404 data_time: 0.0178 memory: 19925 grad_norm: 5.1973 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5339 loss: 2.5339 2022/08/10 16:46:53 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 1.5500e-02 eta: 23:18:11 time: 0.8336 data_time: 0.0171 memory: 19925 grad_norm: 5.2659 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4828 loss: 2.4828 2022/08/10 16:47:09 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 1.5500e-02 eta: 23:17:17 time: 0.8339 data_time: 0.0177 memory: 19925 grad_norm: 5.3259 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3980 loss: 2.3980 2022/08/10 16:47:26 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 1.5500e-02 eta: 23:16:23 time: 0.8345 data_time: 0.0163 memory: 19925 grad_norm: 5.2520 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5827 loss: 2.5827 2022/08/10 16:47:43 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 1.5500e-02 eta: 23:15:28 time: 0.8305 data_time: 0.0159 memory: 19925 grad_norm: 5.2058 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3918 loss: 2.3918 2022/08/10 16:48:01 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 1.5500e-02 eta: 23:15:05 time: 0.9375 data_time: 0.0171 memory: 19925 grad_norm: 5.2396 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.3058 loss: 2.3058 2022/08/10 16:48:18 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 1.5500e-02 eta: 23:14:13 time: 0.8363 data_time: 0.0171 memory: 19925 grad_norm: 5.2195 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4897 loss: 2.4897 2022/08/10 16:48:35 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 1.5500e-02 eta: 23:13:20 time: 0.8347 data_time: 0.0159 memory: 19925 grad_norm: 5.1832 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3306 loss: 2.3306 2022/08/10 16:48:51 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 1.5500e-02 eta: 23:12:27 time: 0.8342 data_time: 0.0226 memory: 19925 grad_norm: 5.0952 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4206 loss: 2.4206 2022/08/10 16:49:08 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 1.5500e-02 eta: 23:11:37 time: 0.8416 data_time: 0.0228 memory: 19925 grad_norm: 5.2077 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4683 loss: 2.4683 2022/08/10 16:49:25 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 1.5500e-02 eta: 23:10:46 time: 0.8395 data_time: 0.0200 memory: 19925 grad_norm: 5.1809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4001 loss: 2.4001 2022/08/10 16:49:42 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 1.5500e-02 eta: 23:09:55 time: 0.8373 data_time: 0.0146 memory: 19925 grad_norm: 5.2456 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.6092 loss: 2.6092 2022/08/10 16:49:59 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 1.5500e-02 eta: 23:09:07 time: 0.8482 data_time: 0.0168 memory: 19925 grad_norm: 5.1808 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4956 loss: 2.4956 2022/08/10 16:50:17 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 1.5500e-02 eta: 23:08:33 time: 0.8960 data_time: 0.0222 memory: 19925 grad_norm: 5.1409 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5186 loss: 2.5186 2022/08/10 16:50:35 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 1.5500e-02 eta: 23:08:09 time: 0.9323 data_time: 0.0196 memory: 19925 grad_norm: 5.1148 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5157 loss: 2.5157 2022/08/10 16:50:52 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 1.5500e-02 eta: 23:07:17 time: 0.8300 data_time: 0.0147 memory: 19925 grad_norm: 5.0739 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5595 loss: 2.5595 2022/08/10 16:51:09 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 1.5500e-02 eta: 23:06:29 time: 0.8452 data_time: 0.0174 memory: 19925 grad_norm: 5.2131 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6329 loss: 2.6329 2022/08/10 16:51:26 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 1.5500e-02 eta: 23:05:43 time: 0.8504 data_time: 0.0226 memory: 19925 grad_norm: 5.0578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3128 loss: 2.3128 2022/08/10 16:51:43 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 1.5500e-02 eta: 23:04:52 time: 0.8341 data_time: 0.0161 memory: 19925 grad_norm: 4.9970 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.4387 loss: 2.4387 2022/08/10 16:51:59 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 1.5500e-02 eta: 23:04:02 time: 0.8357 data_time: 0.0164 memory: 19925 grad_norm: 5.0952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4854 loss: 2.4854 2022/08/10 16:52:16 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 1.5500e-02 eta: 23:03:13 time: 0.8391 data_time: 0.0168 memory: 19925 grad_norm: 5.1122 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4684 loss: 2.4684 2022/08/10 16:52:33 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 1.5500e-02 eta: 23:02:22 time: 0.8294 data_time: 0.0166 memory: 19925 grad_norm: 5.1428 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4764 loss: 2.4764 2022/08/10 16:52:49 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 1.5500e-02 eta: 23:01:33 time: 0.8357 data_time: 0.0173 memory: 19925 grad_norm: 5.0229 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4896 loss: 2.4896 2022/08/10 16:53:07 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 1.5500e-02 eta: 23:01:04 time: 0.9093 data_time: 0.0168 memory: 19925 grad_norm: 5.1639 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3454 loss: 2.3454 2022/08/10 16:53:24 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 1.5500e-02 eta: 23:00:13 time: 0.8302 data_time: 0.0184 memory: 19925 grad_norm: 5.0149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4618 loss: 2.4618 2022/08/10 16:53:41 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 1.5500e-02 eta: 22:59:22 time: 0.8275 data_time: 0.0174 memory: 19925 grad_norm: 4.9106 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2641 loss: 2.2641 2022/08/10 16:53:57 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 1.5500e-02 eta: 22:58:33 time: 0.8330 data_time: 0.0192 memory: 19925 grad_norm: 4.9823 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.5053 loss: 2.5053 2022/08/10 16:54:16 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 1.5500e-02 eta: 22:58:07 time: 0.9188 data_time: 0.0149 memory: 19925 grad_norm: 4.9977 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3674 loss: 2.3674 2022/08/10 16:54:32 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 1.5500e-02 eta: 22:57:16 time: 0.8289 data_time: 0.0166 memory: 19925 grad_norm: 5.1935 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4129 loss: 2.4129 2022/08/10 16:54:52 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 1.5500e-02 eta: 22:57:03 time: 0.9651 data_time: 0.0166 memory: 19925 grad_norm: 5.1371 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5545 loss: 2.5545 2022/08/10 16:55:08 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 1.5500e-02 eta: 22:56:14 time: 0.8315 data_time: 0.0179 memory: 19925 grad_norm: 4.9435 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5685 loss: 2.5685 2022/08/10 16:55:28 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 1.5500e-02 eta: 22:56:09 time: 0.9992 data_time: 0.0161 memory: 19925 grad_norm: 4.9697 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.2215 loss: 2.2215 2022/08/10 16:55:45 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 1.5500e-02 eta: 22:55:22 time: 0.8385 data_time: 0.0191 memory: 19925 grad_norm: 4.9812 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4132 loss: 2.4132 2022/08/10 16:56:02 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 1.5500e-02 eta: 22:54:34 time: 0.8361 data_time: 0.0155 memory: 19925 grad_norm: 4.8718 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2713 loss: 2.2713 2022/08/10 16:56:18 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 1.5500e-02 eta: 22:53:46 time: 0.8325 data_time: 0.0172 memory: 19925 grad_norm: 4.9355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4126 loss: 2.4126 2022/08/10 16:56:35 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 1.5500e-02 eta: 22:52:59 time: 0.8356 data_time: 0.0170 memory: 19925 grad_norm: 5.0122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3965 loss: 2.3965 2022/08/10 16:56:52 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 1.5500e-02 eta: 22:52:10 time: 0.8299 data_time: 0.0170 memory: 19925 grad_norm: 5.1055 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4658 loss: 2.4658 2022/08/10 16:57:08 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 1.5500e-02 eta: 22:51:23 time: 0.8323 data_time: 0.0172 memory: 19925 grad_norm: 4.9420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2584 loss: 2.2584 2022/08/10 16:57:25 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 1.5500e-02 eta: 22:50:37 time: 0.8379 data_time: 0.0176 memory: 19925 grad_norm: 4.9788 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5566 loss: 2.5566 2022/08/10 16:57:42 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 1.5500e-02 eta: 22:49:49 time: 0.8328 data_time: 0.0169 memory: 19925 grad_norm: 4.9292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5153 loss: 2.5153 2022/08/10 16:58:00 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 1.5500e-02 eta: 22:49:28 time: 0.9339 data_time: 0.0172 memory: 19925 grad_norm: 5.0175 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1896 loss: 2.1896 2022/08/10 16:58:17 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 1.5500e-02 eta: 22:48:40 time: 0.8286 data_time: 0.0179 memory: 19925 grad_norm: 4.8737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4020 loss: 2.4020 2022/08/10 16:58:34 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 1.5500e-02 eta: 22:47:54 time: 0.8337 data_time: 0.0178 memory: 19925 grad_norm: 4.8383 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3430 loss: 2.3430 2022/08/10 16:58:50 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 1.5500e-02 eta: 22:47:06 time: 0.8289 data_time: 0.0180 memory: 19925 grad_norm: 5.0590 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4734 loss: 2.4734 2022/08/10 16:59:07 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 1.5500e-02 eta: 22:46:20 time: 0.8365 data_time: 0.0183 memory: 19925 grad_norm: 4.8828 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2641 loss: 2.2641 2022/08/10 16:59:24 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 1.5500e-02 eta: 22:45:35 time: 0.8363 data_time: 0.0185 memory: 19925 grad_norm: 4.9246 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.6220 loss: 2.6220 2022/08/10 16:59:40 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 1.5500e-02 eta: 22:44:50 time: 0.8351 data_time: 0.0176 memory: 19925 grad_norm: 5.0537 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3973 loss: 2.3973 2022/08/10 16:59:57 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 1.5500e-02 eta: 22:44:04 time: 0.8335 data_time: 0.0172 memory: 19925 grad_norm: 4.9123 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1967 loss: 2.1967 2022/08/10 17:00:18 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 1.5500e-02 eta: 22:44:12 time: 1.0505 data_time: 0.0281 memory: 19925 grad_norm: 4.6944 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2937 loss: 2.2937 2022/08/10 17:00:35 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 1.5500e-02 eta: 22:43:27 time: 0.8331 data_time: 0.0164 memory: 19925 grad_norm: 4.8038 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3735 loss: 2.3735 2022/08/10 17:00:37 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 17:00:51 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 1.5500e-02 eta: 22:42:42 time: 0.8349 data_time: 0.0170 memory: 19925 grad_norm: 4.8916 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3732 loss: 2.3732 2022/08/10 17:01:08 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 1.5500e-02 eta: 22:41:56 time: 0.8332 data_time: 0.0169 memory: 19925 grad_norm: 4.9139 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3714 loss: 2.3714 2022/08/10 17:01:25 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 1.5500e-02 eta: 22:41:11 time: 0.8336 data_time: 0.0166 memory: 19925 grad_norm: 4.9103 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3210 loss: 2.3210 2022/08/10 17:01:41 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 1.5500e-02 eta: 22:40:25 time: 0.8287 data_time: 0.0171 memory: 19925 grad_norm: 4.8713 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2939 loss: 2.2939 2022/08/10 17:01:58 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 1.5500e-02 eta: 22:39:41 time: 0.8371 data_time: 0.0164 memory: 19925 grad_norm: 4.7380 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2761 loss: 2.2761 2022/08/10 17:02:15 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 1.5500e-02 eta: 22:38:57 time: 0.8332 data_time: 0.0173 memory: 19925 grad_norm: 4.8661 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3757 loss: 2.3757 2022/08/10 17:02:34 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 1.5500e-02 eta: 22:38:42 time: 0.9580 data_time: 0.0192 memory: 19925 grad_norm: 4.7987 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1775 loss: 2.1775 2022/08/10 17:02:50 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 1.5500e-02 eta: 22:37:57 time: 0.8295 data_time: 0.0148 memory: 19925 grad_norm: 4.8629 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2288 loss: 2.2288 2022/08/10 17:03:07 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 1.5500e-02 eta: 22:37:14 time: 0.8379 data_time: 0.0181 memory: 19925 grad_norm: 4.7011 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4395 loss: 2.4395 2022/08/10 17:03:24 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 1.5500e-02 eta: 22:36:33 time: 0.8459 data_time: 0.0164 memory: 19925 grad_norm: 4.9481 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1002 loss: 2.1002 2022/08/10 17:03:41 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 1.5500e-02 eta: 22:35:53 time: 0.8487 data_time: 0.0187 memory: 19925 grad_norm: 4.9072 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1671 loss: 2.1671 2022/08/10 17:03:58 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 1.5500e-02 eta: 22:35:10 time: 0.8372 data_time: 0.0196 memory: 19925 grad_norm: 4.8117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2351 loss: 2.2351 2022/08/10 17:04:15 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 1.5500e-02 eta: 22:34:29 time: 0.8446 data_time: 0.0179 memory: 19925 grad_norm: 4.8210 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.4672 loss: 2.4672 2022/08/10 17:04:31 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 1.5500e-02 eta: 22:33:46 time: 0.8353 data_time: 0.0164 memory: 19925 grad_norm: 4.8572 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1925 loss: 2.1925 2022/08/10 17:04:49 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 1.5500e-02 eta: 22:33:10 time: 0.8672 data_time: 0.0169 memory: 19925 grad_norm: 4.8783 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3062 loss: 2.3062 2022/08/10 17:05:06 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 1.5500e-02 eta: 22:32:29 time: 0.8400 data_time: 0.0168 memory: 19925 grad_norm: 4.7620 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2564 loss: 2.2564 2022/08/10 17:05:24 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 1.5500e-02 eta: 22:32:02 time: 0.9021 data_time: 0.0720 memory: 19925 grad_norm: 4.6626 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3626 loss: 2.3626 2022/08/10 17:05:41 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 1.5500e-02 eta: 22:31:21 time: 0.8435 data_time: 0.0152 memory: 19925 grad_norm: 4.8562 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5184 loss: 2.5184 2022/08/10 17:05:57 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 1.5500e-02 eta: 22:30:41 time: 0.8459 data_time: 0.0176 memory: 19925 grad_norm: 4.6723 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1787 loss: 2.1787 2022/08/10 17:06:14 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 1.5500e-02 eta: 22:30:00 time: 0.8390 data_time: 0.0166 memory: 19925 grad_norm: 4.8440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4602 loss: 2.4602 2022/08/10 17:06:31 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 1.5500e-02 eta: 22:29:19 time: 0.8435 data_time: 0.0186 memory: 19925 grad_norm: 4.9274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3588 loss: 2.3588 2022/08/10 17:06:48 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 1.5500e-02 eta: 22:28:37 time: 0.8342 data_time: 0.0168 memory: 19925 grad_norm: 4.8587 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2733 loss: 2.2733 2022/08/10 17:07:05 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 1.5500e-02 eta: 22:27:56 time: 0.8401 data_time: 0.0190 memory: 19925 grad_norm: 4.7536 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0699 loss: 2.0699 2022/08/10 17:07:21 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 1.5500e-02 eta: 22:27:15 time: 0.8378 data_time: 0.0152 memory: 19925 grad_norm: 4.8469 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1616 loss: 2.1616 2022/08/10 17:07:38 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 1.5500e-02 eta: 22:26:34 time: 0.8397 data_time: 0.0184 memory: 19925 grad_norm: 4.8479 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3379 loss: 2.3379 2022/08/10 17:07:55 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 17:07:55 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 1.5500e-02 eta: 22:26:34 time: 0.8990 data_time: 0.0137 memory: 19925 grad_norm: 4.7720 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1380 loss: 2.1380 2022/08/10 17:08:09 - mmengine - INFO - Epoch(val) [4][20/155] eta: 0:01:31 time: 0.6805 data_time: 0.4469 memory: 2570 2022/08/10 17:08:22 - mmengine - INFO - Epoch(val) [4][40/155] eta: 0:01:13 time: 0.6391 data_time: 0.4095 memory: 2570 2022/08/10 17:08:35 - mmengine - INFO - Epoch(val) [4][60/155] eta: 0:01:03 time: 0.6667 data_time: 0.4359 memory: 2570 2022/08/10 17:08:51 - mmengine - INFO - Epoch(val) [4][80/155] eta: 0:00:59 time: 0.7967 data_time: 0.5647 memory: 2570 2022/08/10 17:09:00 - mmengine - INFO - Epoch(val) [4][100/155] eta: 0:00:24 time: 0.4490 data_time: 0.2182 memory: 2570 2022/08/10 17:09:14 - mmengine - INFO - Epoch(val) [4][120/155] eta: 0:00:23 time: 0.6815 data_time: 0.4519 memory: 2570 2022/08/10 17:09:22 - mmengine - INFO - Epoch(val) [4][140/155] eta: 0:00:06 time: 0.4072 data_time: 0.1775 memory: 2570 2022/08/10 17:09:43 - mmengine - INFO - Epoch(val) [4][155/155] acc/top1: 0.4910 acc/top5: 0.7496 acc/mean1: 0.4910 2022/08/10 17:10:09 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 2.0000e-02 eta: 22:24:00 time: 1.3086 data_time: 0.1977 memory: 19925 grad_norm: 4.9140 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2296 loss: 2.2296 2022/08/10 17:10:32 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 2.0000e-02 eta: 22:24:23 time: 1.1169 data_time: 0.0562 memory: 19925 grad_norm: 4.8672 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1705 loss: 2.1705 2022/08/10 17:10:48 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 2.0000e-02 eta: 22:23:40 time: 0.8256 data_time: 0.0179 memory: 19925 grad_norm: 4.6536 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2518 loss: 2.2518 2022/08/10 17:11:05 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 2.0000e-02 eta: 22:22:58 time: 0.8305 data_time: 0.0162 memory: 19925 grad_norm: 4.7015 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3202 loss: 2.3202 2022/08/10 17:11:22 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 2.0000e-02 eta: 22:22:22 time: 0.8582 data_time: 0.0167 memory: 19925 grad_norm: 4.8224 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4165 loss: 2.4165 2022/08/10 17:11:43 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 2.0000e-02 eta: 22:22:28 time: 1.0387 data_time: 0.0169 memory: 19925 grad_norm: 4.7841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2132 loss: 2.2132 2022/08/10 17:12:00 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 2.0000e-02 eta: 22:21:49 time: 0.8440 data_time: 0.0170 memory: 19925 grad_norm: 4.6680 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3829 loss: 2.3829 2022/08/10 17:12:16 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 2.0000e-02 eta: 22:21:09 time: 0.8393 data_time: 0.0180 memory: 19925 grad_norm: 4.7217 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5764 loss: 2.5764 2022/08/10 17:12:33 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 2.0000e-02 eta: 22:20:27 time: 0.8300 data_time: 0.0188 memory: 19925 grad_norm: 4.6914 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3477 loss: 2.3477 2022/08/10 17:12:50 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 2.0000e-02 eta: 22:19:48 time: 0.8412 data_time: 0.0157 memory: 19925 grad_norm: 4.6500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2837 loss: 2.2837 2022/08/10 17:13:07 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 2.0000e-02 eta: 22:19:08 time: 0.8343 data_time: 0.0186 memory: 19925 grad_norm: 4.5735 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3430 loss: 2.3430 2022/08/10 17:13:23 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 2.0000e-02 eta: 22:18:27 time: 0.8301 data_time: 0.0174 memory: 19925 grad_norm: 4.7235 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1748 loss: 2.1748 2022/08/10 17:13:40 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 2.0000e-02 eta: 22:17:48 time: 0.8391 data_time: 0.0163 memory: 19925 grad_norm: 4.7554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/08/10 17:13:57 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 2.0000e-02 eta: 22:17:07 time: 0.8342 data_time: 0.0163 memory: 19925 grad_norm: 4.6369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2985 loss: 2.2985 2022/08/10 17:14:13 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 2.0000e-02 eta: 22:16:27 time: 0.8319 data_time: 0.0178 memory: 19925 grad_norm: 4.6425 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1558 loss: 2.1558 2022/08/10 17:14:30 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 2.0000e-02 eta: 22:15:46 time: 0.8287 data_time: 0.0170 memory: 19925 grad_norm: 4.6649 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5169 loss: 2.5169 2022/08/10 17:14:46 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 2.0000e-02 eta: 22:15:05 time: 0.8313 data_time: 0.0171 memory: 19925 grad_norm: 4.6625 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.3439 loss: 2.3439 2022/08/10 17:15:03 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 2.0000e-02 eta: 22:14:24 time: 0.8267 data_time: 0.0180 memory: 19925 grad_norm: 4.6604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2988 loss: 2.2988 2022/08/10 17:15:20 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 2.0000e-02 eta: 22:13:50 time: 0.8589 data_time: 0.0286 memory: 19925 grad_norm: 4.6338 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.2959 loss: 2.2959 2022/08/10 17:15:37 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 2.0000e-02 eta: 22:13:12 time: 0.8388 data_time: 0.0222 memory: 19925 grad_norm: 4.5270 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3897 loss: 2.3897 2022/08/10 17:15:54 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 2.0000e-02 eta: 22:12:33 time: 0.8377 data_time: 0.0175 memory: 19925 grad_norm: 4.5807 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2679 loss: 2.2679 2022/08/10 17:16:11 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 2.0000e-02 eta: 22:11:56 time: 0.8443 data_time: 0.0273 memory: 19925 grad_norm: 4.5524 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1543 loss: 2.1543 2022/08/10 17:16:27 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 2.0000e-02 eta: 22:11:16 time: 0.8304 data_time: 0.0178 memory: 19925 grad_norm: 4.5315 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5706 loss: 2.5706 2022/08/10 17:16:44 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 2.0000e-02 eta: 22:10:37 time: 0.8347 data_time: 0.0165 memory: 19925 grad_norm: 4.6250 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2773 loss: 2.2773 2022/08/10 17:16:47 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 17:17:01 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 2.0000e-02 eta: 22:09:59 time: 0.8390 data_time: 0.0170 memory: 19925 grad_norm: 4.4568 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2580 loss: 2.2580 2022/08/10 17:17:17 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 2.0000e-02 eta: 22:09:21 time: 0.8377 data_time: 0.0160 memory: 19925 grad_norm: 4.6205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3001 loss: 2.3001 2022/08/10 17:17:34 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 2.0000e-02 eta: 22:08:44 time: 0.8388 data_time: 0.0187 memory: 19925 grad_norm: 4.6532 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4649 loss: 2.4649 2022/08/10 17:17:53 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 2.0000e-02 eta: 22:08:23 time: 0.9194 data_time: 0.0143 memory: 19925 grad_norm: 4.4881 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2623 loss: 2.2623 2022/08/10 17:18:09 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 2.0000e-02 eta: 22:07:47 time: 0.8429 data_time: 0.0181 memory: 19925 grad_norm: 4.4726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5000 loss: 2.5000 2022/08/10 17:18:26 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 2.0000e-02 eta: 22:07:10 time: 0.8408 data_time: 0.0161 memory: 19925 grad_norm: 4.5524 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2792 loss: 2.2792 2022/08/10 17:18:43 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 2.0000e-02 eta: 22:06:32 time: 0.8352 data_time: 0.0168 memory: 19925 grad_norm: 4.4759 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3718 loss: 2.3718 2022/08/10 17:19:02 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 2.0000e-02 eta: 22:06:17 time: 0.9462 data_time: 0.0151 memory: 19925 grad_norm: 4.5107 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2215 loss: 2.2215 2022/08/10 17:19:19 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 2.0000e-02 eta: 22:05:38 time: 0.8319 data_time: 0.0192 memory: 19925 grad_norm: 4.5900 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3660 loss: 2.3660 2022/08/10 17:19:35 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 2.0000e-02 eta: 22:05:00 time: 0.8327 data_time: 0.0152 memory: 19925 grad_norm: 4.4868 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2980 loss: 2.2980 2022/08/10 17:19:52 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 2.0000e-02 eta: 22:04:23 time: 0.8377 data_time: 0.0169 memory: 19925 grad_norm: 4.3980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0265 loss: 2.0265 2022/08/10 17:20:09 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 2.0000e-02 eta: 22:03:45 time: 0.8328 data_time: 0.0163 memory: 19925 grad_norm: 4.5459 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4039 loss: 2.4039 2022/08/10 17:20:26 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 2.0000e-02 eta: 22:03:12 time: 0.8592 data_time: 0.0240 memory: 19925 grad_norm: 4.6523 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4258 loss: 2.4258 2022/08/10 17:20:42 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 2.0000e-02 eta: 22:02:35 time: 0.8364 data_time: 0.0162 memory: 19925 grad_norm: 4.4644 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4107 loss: 2.4107 2022/08/10 17:20:59 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 2.0000e-02 eta: 22:01:57 time: 0.8316 data_time: 0.0197 memory: 19925 grad_norm: 4.4391 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2624 loss: 2.2624 2022/08/10 17:21:16 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 2.0000e-02 eta: 22:01:18 time: 0.8276 data_time: 0.0154 memory: 19925 grad_norm: 4.4551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3638 loss: 2.3638 2022/08/10 17:21:32 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 2.0000e-02 eta: 22:00:40 time: 0.8315 data_time: 0.0171 memory: 19925 grad_norm: 4.5213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0629 loss: 2.0629 2022/08/10 17:21:49 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 2.0000e-02 eta: 22:00:04 time: 0.8380 data_time: 0.0177 memory: 19925 grad_norm: 4.4256 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3498 loss: 2.3498 2022/08/10 17:22:06 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 2.0000e-02 eta: 21:59:28 time: 0.8410 data_time: 0.0177 memory: 19925 grad_norm: 4.4436 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2794 loss: 2.2794 2022/08/10 17:22:23 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 2.0000e-02 eta: 21:58:50 time: 0.8306 data_time: 0.0171 memory: 19925 grad_norm: 4.3336 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2696 loss: 2.2696 2022/08/10 17:22:39 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 2.0000e-02 eta: 21:58:15 time: 0.8402 data_time: 0.0181 memory: 19925 grad_norm: 4.5215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1080 loss: 2.1080 2022/08/10 17:22:56 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 2.0000e-02 eta: 21:57:37 time: 0.8303 data_time: 0.0162 memory: 19925 grad_norm: 4.3863 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.2679 loss: 2.2679 2022/08/10 17:23:13 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 2.0000e-02 eta: 21:57:00 time: 0.8325 data_time: 0.0188 memory: 19925 grad_norm: 4.3202 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4588 loss: 2.4588 2022/08/10 17:23:29 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 2.0000e-02 eta: 21:56:23 time: 0.8317 data_time: 0.0149 memory: 19925 grad_norm: 4.5401 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1847 loss: 2.1847 2022/08/10 17:23:46 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 2.0000e-02 eta: 21:55:45 time: 0.8307 data_time: 0.0172 memory: 19925 grad_norm: 4.3215 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2035 loss: 2.2035 2022/08/10 17:24:02 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 2.0000e-02 eta: 21:55:09 time: 0.8326 data_time: 0.0166 memory: 19925 grad_norm: 4.4326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3314 loss: 2.3314 2022/08/10 17:24:19 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 2.0000e-02 eta: 21:54:31 time: 0.8301 data_time: 0.0170 memory: 19925 grad_norm: 4.4024 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2232 loss: 2.2232 2022/08/10 17:24:36 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 2.0000e-02 eta: 21:53:55 time: 0.8319 data_time: 0.0166 memory: 19925 grad_norm: 4.2152 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3231 loss: 2.3231 2022/08/10 17:24:53 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 2.0000e-02 eta: 21:53:22 time: 0.8494 data_time: 0.0181 memory: 19925 grad_norm: 4.3466 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0815 loss: 2.0815 2022/08/10 17:25:10 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 2.0000e-02 eta: 21:52:48 time: 0.8483 data_time: 0.0233 memory: 19925 grad_norm: 4.5223 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3392 loss: 2.3392 2022/08/10 17:25:27 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 2.0000e-02 eta: 21:52:17 time: 0.8566 data_time: 0.0220 memory: 19925 grad_norm: 4.3727 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1831 loss: 2.1831 2022/08/10 17:25:45 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 2.0000e-02 eta: 21:51:53 time: 0.8976 data_time: 0.0152 memory: 19925 grad_norm: 4.2993 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2123 loss: 2.2123 2022/08/10 17:26:01 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 2.0000e-02 eta: 21:51:17 time: 0.8304 data_time: 0.0174 memory: 19925 grad_norm: 4.4521 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1065 loss: 2.1065 2022/08/10 17:26:18 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 2.0000e-02 eta: 21:50:43 time: 0.8467 data_time: 0.0168 memory: 19925 grad_norm: 4.2656 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3533 loss: 2.3533 2022/08/10 17:26:35 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 2.0000e-02 eta: 21:50:09 time: 0.8408 data_time: 0.0190 memory: 19925 grad_norm: 4.4017 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3100 loss: 2.3100 2022/08/10 17:26:52 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 2.0000e-02 eta: 21:49:38 time: 0.8603 data_time: 0.0150 memory: 19925 grad_norm: 4.4400 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1809 loss: 2.1809 2022/08/10 17:27:11 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 2.0000e-02 eta: 21:49:27 time: 0.9558 data_time: 0.0159 memory: 19925 grad_norm: 4.3526 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2898 loss: 2.2898 2022/08/10 17:27:28 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 2.0000e-02 eta: 21:48:50 time: 0.8307 data_time: 0.0170 memory: 19925 grad_norm: 4.3240 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1191 loss: 2.1191 2022/08/10 17:27:48 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 2.0000e-02 eta: 21:48:45 time: 0.9899 data_time: 0.0183 memory: 19925 grad_norm: 4.2788 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.2086 loss: 2.2086 2022/08/10 17:28:06 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 2.0000e-02 eta: 21:48:27 time: 0.9211 data_time: 0.0136 memory: 19925 grad_norm: 4.4098 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1796 loss: 2.1796 2022/08/10 17:28:23 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 2.0000e-02 eta: 21:47:52 time: 0.8403 data_time: 0.0179 memory: 19925 grad_norm: 4.2774 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2842 loss: 2.2842 2022/08/10 17:28:40 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 2.0000e-02 eta: 21:47:16 time: 0.8298 data_time: 0.0140 memory: 19925 grad_norm: 4.3037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2248 loss: 2.2248 2022/08/10 17:28:56 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 2.0000e-02 eta: 21:46:41 time: 0.8333 data_time: 0.0183 memory: 19925 grad_norm: 4.5116 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2594 loss: 2.2594 2022/08/10 17:29:13 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 2.0000e-02 eta: 21:46:05 time: 0.8307 data_time: 0.0159 memory: 19925 grad_norm: 4.3688 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2956 loss: 2.2956 2022/08/10 17:29:30 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 2.0000e-02 eta: 21:45:30 time: 0.8349 data_time: 0.0178 memory: 19925 grad_norm: 4.1885 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1687 loss: 2.1687 2022/08/10 17:29:46 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 2.0000e-02 eta: 21:44:54 time: 0.8300 data_time: 0.0156 memory: 19925 grad_norm: 4.2250 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1820 loss: 2.1820 2022/08/10 17:30:03 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 2.0000e-02 eta: 21:44:20 time: 0.8355 data_time: 0.0178 memory: 19925 grad_norm: 4.3538 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4145 loss: 2.4145 2022/08/10 17:30:20 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 2.0000e-02 eta: 21:43:50 time: 0.8621 data_time: 0.0409 memory: 19925 grad_norm: 4.3662 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3128 loss: 2.3128 2022/08/10 17:30:37 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 2.0000e-02 eta: 21:43:18 time: 0.8457 data_time: 0.0269 memory: 19925 grad_norm: 4.2010 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3957 loss: 2.3957 2022/08/10 17:30:54 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 2.0000e-02 eta: 21:42:43 time: 0.8320 data_time: 0.0157 memory: 19925 grad_norm: 4.3401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1368 loss: 2.1368 2022/08/10 17:30:57 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 17:31:15 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 2.0000e-02 eta: 21:42:49 time: 1.0516 data_time: 0.0160 memory: 19925 grad_norm: 4.2057 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3558 loss: 2.3558 2022/08/10 17:31:31 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 2.0000e-02 eta: 21:42:14 time: 0.8312 data_time: 0.0158 memory: 19925 grad_norm: 4.5059 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2372 loss: 2.2372 2022/08/10 17:31:48 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 2.0000e-02 eta: 21:41:39 time: 0.8329 data_time: 0.0173 memory: 19925 grad_norm: 4.3782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0892 loss: 2.0892 2022/08/10 17:32:05 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 2.0000e-02 eta: 21:41:04 time: 0.8339 data_time: 0.0155 memory: 19925 grad_norm: 4.3394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4620 loss: 2.4620 2022/08/10 17:32:21 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 2.0000e-02 eta: 21:40:30 time: 0.8335 data_time: 0.0176 memory: 19925 grad_norm: 4.3624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.0822 loss: 2.0822 2022/08/10 17:32:38 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 2.0000e-02 eta: 21:39:56 time: 0.8340 data_time: 0.0147 memory: 19925 grad_norm: 4.2201 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3483 loss: 2.3483 2022/08/10 17:32:55 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 2.0000e-02 eta: 21:39:22 time: 0.8353 data_time: 0.0171 memory: 19925 grad_norm: 4.3067 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1203 loss: 2.1203 2022/08/10 17:33:12 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 2.0000e-02 eta: 21:38:48 time: 0.8387 data_time: 0.0176 memory: 19925 grad_norm: 4.3667 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3632 loss: 2.3632 2022/08/10 17:33:29 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 2.0000e-02 eta: 21:38:18 time: 0.8537 data_time: 0.0185 memory: 19925 grad_norm: 4.2340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3747 loss: 2.3747 2022/08/10 17:33:45 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 2.0000e-02 eta: 21:37:44 time: 0.8343 data_time: 0.0162 memory: 19925 grad_norm: 4.2473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1002 loss: 2.1002 2022/08/10 17:34:02 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 2.0000e-02 eta: 21:37:10 time: 0.8329 data_time: 0.0167 memory: 19925 grad_norm: 4.1566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4443 loss: 2.4443 2022/08/10 17:34:19 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 2.0000e-02 eta: 21:36:36 time: 0.8345 data_time: 0.0161 memory: 19925 grad_norm: 4.2113 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3455 loss: 2.3455 2022/08/10 17:34:35 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 2.0000e-02 eta: 21:36:01 time: 0.8283 data_time: 0.0168 memory: 19925 grad_norm: 4.2687 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3377 loss: 2.3377 2022/08/10 17:34:52 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 2.0000e-02 eta: 21:35:28 time: 0.8360 data_time: 0.0173 memory: 19925 grad_norm: 4.2297 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4428 loss: 2.4428 2022/08/10 17:35:09 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 2.0000e-02 eta: 21:34:53 time: 0.8287 data_time: 0.0176 memory: 19925 grad_norm: 4.1880 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0719 loss: 2.0719 2022/08/10 17:35:26 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 2.0000e-02 eta: 21:34:22 time: 0.8496 data_time: 0.0227 memory: 19925 grad_norm: 4.0819 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0823 loss: 2.0823 2022/08/10 17:35:42 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 2.0000e-02 eta: 21:33:49 time: 0.8352 data_time: 0.0175 memory: 19925 grad_norm: 4.1851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0936 loss: 2.0936 2022/08/10 17:35:59 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 2.0000e-02 eta: 21:33:15 time: 0.8310 data_time: 0.0161 memory: 19925 grad_norm: 4.2425 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1409 loss: 2.1409 2022/08/10 17:36:16 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 2.0000e-02 eta: 21:32:41 time: 0.8304 data_time: 0.0173 memory: 19925 grad_norm: 4.2702 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3617 loss: 2.3617 2022/08/10 17:36:31 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 17:36:31 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 2.0000e-02 eta: 21:32:41 time: 0.8001 data_time: 0.0147 memory: 19925 grad_norm: 4.3971 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4362 loss: 2.4362 2022/08/10 17:36:44 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:01:28 time: 0.6574 data_time: 0.4231 memory: 2570 2022/08/10 17:37:05 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:02:01 time: 1.0555 data_time: 0.8211 memory: 2570 2022/08/10 17:37:16 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:50 time: 0.5277 data_time: 0.2978 memory: 2570 2022/08/10 17:37:33 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:01:05 time: 0.8798 data_time: 0.6487 memory: 2570 2022/08/10 17:37:43 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:26 time: 0.4760 data_time: 0.2455 memory: 2570 2022/08/10 17:38:01 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:31 time: 0.8943 data_time: 0.6653 memory: 2570 2022/08/10 17:38:12 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:08 time: 0.5852 data_time: 0.3574 memory: 2570 2022/08/10 17:38:23 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.4866 acc/top5: 0.7515 acc/mean1: 0.4864 2022/08/10 17:38:47 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 2.0000e-02 eta: 21:30:17 time: 1.1852 data_time: 0.2041 memory: 19925 grad_norm: 4.1323 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1709 loss: 2.1709 2022/08/10 17:39:04 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 2.0000e-02 eta: 21:29:42 time: 0.8247 data_time: 0.0168 memory: 19925 grad_norm: 4.2730 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2340 loss: 2.2340 2022/08/10 17:39:20 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 2.0000e-02 eta: 21:29:09 time: 0.8307 data_time: 0.0173 memory: 19925 grad_norm: 4.1792 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2939 loss: 2.2939 2022/08/10 17:39:37 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 2.0000e-02 eta: 21:28:35 time: 0.8299 data_time: 0.0166 memory: 19925 grad_norm: 4.1439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0393 loss: 2.0393 2022/08/10 17:39:54 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 2.0000e-02 eta: 21:28:02 time: 0.8303 data_time: 0.0171 memory: 19925 grad_norm: 4.1767 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1639 loss: 2.1639 2022/08/10 17:40:10 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 2.0000e-02 eta: 21:27:28 time: 0.8278 data_time: 0.0174 memory: 19925 grad_norm: 4.2514 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1785 loss: 2.1785 2022/08/10 17:40:27 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 2.0000e-02 eta: 21:26:55 time: 0.8290 data_time: 0.0170 memory: 19925 grad_norm: 4.2605 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/08/10 17:40:43 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 2.0000e-02 eta: 21:26:21 time: 0.8289 data_time: 0.0176 memory: 19925 grad_norm: 4.3005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0593 loss: 2.0593 2022/08/10 17:41:00 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 2.0000e-02 eta: 21:25:48 time: 0.8299 data_time: 0.0173 memory: 19925 grad_norm: 4.2907 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0913 loss: 2.0913 2022/08/10 17:41:16 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 2.0000e-02 eta: 21:25:15 time: 0.8293 data_time: 0.0171 memory: 19925 grad_norm: 4.1793 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9669 loss: 1.9669 2022/08/10 17:41:33 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 2.0000e-02 eta: 21:24:41 time: 0.8284 data_time: 0.0170 memory: 19925 grad_norm: 4.2262 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2725 loss: 2.2725 2022/08/10 17:41:50 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 2.0000e-02 eta: 21:24:11 time: 0.8425 data_time: 0.0178 memory: 19925 grad_norm: 4.2860 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0131 loss: 2.0131 2022/08/10 17:42:07 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 2.0000e-02 eta: 21:23:38 time: 0.8308 data_time: 0.0151 memory: 19925 grad_norm: 4.1369 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2203 loss: 2.2203 2022/08/10 17:42:23 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 2.0000e-02 eta: 21:23:06 time: 0.8331 data_time: 0.0169 memory: 19925 grad_norm: 4.1786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/08/10 17:42:40 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 2.0000e-02 eta: 21:22:33 time: 0.8330 data_time: 0.0166 memory: 19925 grad_norm: 4.2849 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2536 loss: 2.2536 2022/08/10 17:42:57 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 2.0000e-02 eta: 21:22:01 time: 0.8343 data_time: 0.0259 memory: 19925 grad_norm: 4.1537 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2081 loss: 2.2081 2022/08/10 17:43:13 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 2.0000e-02 eta: 21:21:30 time: 0.8386 data_time: 0.0235 memory: 19925 grad_norm: 4.1895 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3169 loss: 2.3169 2022/08/10 17:43:30 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 2.0000e-02 eta: 21:20:58 time: 0.8345 data_time: 0.0182 memory: 19925 grad_norm: 4.3216 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0351 loss: 2.0351 2022/08/10 17:43:48 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 2.0000e-02 eta: 21:20:36 time: 0.8874 data_time: 0.0163 memory: 19925 grad_norm: 4.1909 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1110 loss: 2.1110 2022/08/10 17:44:04 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 2.0000e-02 eta: 21:20:03 time: 0.8282 data_time: 0.0160 memory: 19925 grad_norm: 4.2164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0682 loss: 2.0682 2022/08/10 17:44:21 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 2.0000e-02 eta: 21:19:31 time: 0.8320 data_time: 0.0172 memory: 19925 grad_norm: 4.2698 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2904 loss: 2.2904 2022/08/10 17:44:37 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 2.0000e-02 eta: 21:18:58 time: 0.8269 data_time: 0.0166 memory: 19925 grad_norm: 4.2007 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0182 loss: 2.0182 2022/08/10 17:44:55 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 2.0000e-02 eta: 21:18:30 time: 0.8542 data_time: 0.0420 memory: 19925 grad_norm: 4.1884 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1723 loss: 2.1723 2022/08/10 17:45:11 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 2.0000e-02 eta: 21:17:57 time: 0.8278 data_time: 0.0173 memory: 19925 grad_norm: 4.1797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9962 loss: 1.9962 2022/08/10 17:45:28 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 2.0000e-02 eta: 21:17:25 time: 0.8279 data_time: 0.0168 memory: 19925 grad_norm: 4.2307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2261 loss: 2.2261 2022/08/10 17:45:44 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 2.0000e-02 eta: 21:16:54 time: 0.8358 data_time: 0.0154 memory: 19925 grad_norm: 4.0844 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4024 loss: 2.4024 2022/08/10 17:46:01 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 2.0000e-02 eta: 21:16:22 time: 0.8348 data_time: 0.0164 memory: 19925 grad_norm: 4.1120 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0971 loss: 2.0971 2022/08/10 17:46:18 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 2.0000e-02 eta: 21:15:50 time: 0.8308 data_time: 0.0164 memory: 19925 grad_norm: 4.1041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1356 loss: 2.1356 2022/08/10 17:46:34 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 2.0000e-02 eta: 21:15:19 time: 0.8326 data_time: 0.0168 memory: 19925 grad_norm: 4.3304 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1833 loss: 2.1833 2022/08/10 17:46:51 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 2.0000e-02 eta: 21:14:49 time: 0.8416 data_time: 0.0178 memory: 19925 grad_norm: 4.1824 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1515 loss: 2.1515 2022/08/10 17:46:56 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 17:47:08 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 2.0000e-02 eta: 21:14:19 time: 0.8406 data_time: 0.0257 memory: 19925 grad_norm: 4.1814 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.1525 loss: 2.1525 2022/08/10 17:47:25 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 2.0000e-02 eta: 21:13:48 time: 0.8340 data_time: 0.0160 memory: 19925 grad_norm: 4.0992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0974 loss: 2.0974 2022/08/10 17:47:41 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 2.0000e-02 eta: 21:13:16 time: 0.8274 data_time: 0.0160 memory: 19925 grad_norm: 4.1401 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1574 loss: 2.1574 2022/08/10 17:48:00 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 2.0000e-02 eta: 21:12:59 time: 0.9166 data_time: 0.0169 memory: 19925 grad_norm: 4.2266 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2955 loss: 2.2955 2022/08/10 17:48:16 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 2.0000e-02 eta: 21:12:28 time: 0.8347 data_time: 0.0164 memory: 19925 grad_norm: 4.1495 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1332 loss: 2.1332 2022/08/10 17:48:33 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 2.0000e-02 eta: 21:11:58 time: 0.8391 data_time: 0.0168 memory: 19925 grad_norm: 4.0892 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8925 loss: 1.8925 2022/08/10 17:48:50 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 2.0000e-02 eta: 21:11:28 time: 0.8401 data_time: 0.0184 memory: 19925 grad_norm: 4.2143 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1480 loss: 2.1480 2022/08/10 17:49:07 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 2.0000e-02 eta: 21:10:57 time: 0.8345 data_time: 0.0152 memory: 19925 grad_norm: 4.2633 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0503 loss: 2.0503 2022/08/10 17:49:23 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 2.0000e-02 eta: 21:10:27 time: 0.8390 data_time: 0.0175 memory: 19925 grad_norm: 4.2660 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2851 loss: 2.2851 2022/08/10 17:49:40 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 2.0000e-02 eta: 21:09:57 time: 0.8360 data_time: 0.0164 memory: 19925 grad_norm: 4.1172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9764 loss: 1.9764 2022/08/10 17:49:57 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 2.0000e-02 eta: 21:09:26 time: 0.8294 data_time: 0.0161 memory: 19925 grad_norm: 4.1653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3075 loss: 2.3075 2022/08/10 17:50:13 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 2.0000e-02 eta: 21:08:55 time: 0.8330 data_time: 0.0180 memory: 19925 grad_norm: 4.1376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0574 loss: 2.0574 2022/08/10 17:50:30 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 2.0000e-02 eta: 21:08:24 time: 0.8289 data_time: 0.0175 memory: 19925 grad_norm: 4.1723 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9375 loss: 1.9375 2022/08/10 17:50:47 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 2.0000e-02 eta: 21:07:54 time: 0.8401 data_time: 0.0190 memory: 19925 grad_norm: 4.1297 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2016 loss: 2.2016 2022/08/10 17:51:03 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 2.0000e-02 eta: 21:07:23 time: 0.8281 data_time: 0.0170 memory: 19925 grad_norm: 4.1133 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/08/10 17:51:20 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 2.0000e-02 eta: 21:06:52 time: 0.8347 data_time: 0.0159 memory: 19925 grad_norm: 4.1534 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1246 loss: 2.1246 2022/08/10 17:51:37 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 2.0000e-02 eta: 21:06:22 time: 0.8343 data_time: 0.0160 memory: 19925 grad_norm: 4.1486 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1126 loss: 2.1126 2022/08/10 17:51:53 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 2.0000e-02 eta: 21:05:52 time: 0.8347 data_time: 0.0182 memory: 19925 grad_norm: 4.1479 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0284 loss: 2.0284 2022/08/10 17:52:10 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 2.0000e-02 eta: 21:05:22 time: 0.8337 data_time: 0.0162 memory: 19925 grad_norm: 4.1250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0819 loss: 2.0819 2022/08/10 17:52:27 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 2.0000e-02 eta: 21:04:52 time: 0.8353 data_time: 0.0167 memory: 19925 grad_norm: 4.1365 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9654 loss: 1.9654 2022/08/10 17:52:44 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 2.0000e-02 eta: 21:04:23 time: 0.8437 data_time: 0.0233 memory: 19925 grad_norm: 4.2614 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3871 loss: 2.3871 2022/08/10 17:53:00 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 2.0000e-02 eta: 21:03:54 time: 0.8361 data_time: 0.0174 memory: 19925 grad_norm: 4.0741 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3105 loss: 2.3105 2022/08/10 17:53:17 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 2.0000e-02 eta: 21:03:25 time: 0.8389 data_time: 0.0183 memory: 19925 grad_norm: 4.2090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1680 loss: 2.1680 2022/08/10 17:53:34 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 2.0000e-02 eta: 21:02:55 time: 0.8371 data_time: 0.0140 memory: 19925 grad_norm: 3.9479 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9983 loss: 1.9983 2022/08/10 17:53:51 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 2.0000e-02 eta: 21:02:30 time: 0.8653 data_time: 0.0165 memory: 19925 grad_norm: 4.0171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1351 loss: 2.1351 2022/08/10 17:54:08 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 2.0000e-02 eta: 21:02:01 time: 0.8381 data_time: 0.0163 memory: 19925 grad_norm: 4.1455 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9216 loss: 1.9216 2022/08/10 17:54:25 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 2.0000e-02 eta: 21:01:31 time: 0.8313 data_time: 0.0161 memory: 19925 grad_norm: 4.0939 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1447 loss: 2.1447 2022/08/10 17:54:41 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 2.0000e-02 eta: 21:01:01 time: 0.8368 data_time: 0.0170 memory: 19925 grad_norm: 4.0753 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1496 loss: 2.1496 2022/08/10 17:54:58 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 2.0000e-02 eta: 21:00:32 time: 0.8341 data_time: 0.0169 memory: 19925 grad_norm: 4.1136 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1758 loss: 2.1758 2022/08/10 17:55:15 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 2.0000e-02 eta: 21:00:02 time: 0.8362 data_time: 0.0177 memory: 19925 grad_norm: 4.0396 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0933 loss: 2.0933 2022/08/10 17:55:31 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 2.0000e-02 eta: 20:59:33 time: 0.8379 data_time: 0.0196 memory: 19925 grad_norm: 4.0821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9759 loss: 1.9759 2022/08/10 17:55:48 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 2.0000e-02 eta: 20:59:04 time: 0.8376 data_time: 0.0203 memory: 19925 grad_norm: 4.0990 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0775 loss: 2.0775 2022/08/10 17:56:05 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 2.0000e-02 eta: 20:58:35 time: 0.8341 data_time: 0.0167 memory: 19925 grad_norm: 4.1097 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0364 loss: 2.0364 2022/08/10 17:56:22 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 2.0000e-02 eta: 20:58:05 time: 0.8322 data_time: 0.0140 memory: 19925 grad_norm: 4.2144 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2605 loss: 2.2605 2022/08/10 17:56:38 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 2.0000e-02 eta: 20:57:36 time: 0.8354 data_time: 0.0178 memory: 19925 grad_norm: 4.1085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9771 loss: 1.9771 2022/08/10 17:56:55 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 2.0000e-02 eta: 20:57:06 time: 0.8328 data_time: 0.0174 memory: 19925 grad_norm: 4.1020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3781 loss: 2.3781 2022/08/10 17:57:12 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 2.0000e-02 eta: 20:56:37 time: 0.8352 data_time: 0.0154 memory: 19925 grad_norm: 4.1178 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9475 loss: 1.9475 2022/08/10 17:57:29 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 2.0000e-02 eta: 20:56:11 time: 0.8498 data_time: 0.0330 memory: 19925 grad_norm: 4.1824 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2085 loss: 2.2085 2022/08/10 17:57:46 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 2.0000e-02 eta: 20:55:46 time: 0.8635 data_time: 0.0495 memory: 19925 grad_norm: 4.2515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1097 loss: 2.1097 2022/08/10 17:58:04 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 2.0000e-02 eta: 20:55:29 time: 0.9144 data_time: 0.0148 memory: 19925 grad_norm: 4.2352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0703 loss: 2.0703 2022/08/10 17:58:22 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 2.0000e-02 eta: 20:55:05 time: 0.8668 data_time: 0.0156 memory: 19925 grad_norm: 4.0396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1687 loss: 2.1687 2022/08/10 17:58:38 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 2.0000e-02 eta: 20:54:36 time: 0.8345 data_time: 0.0165 memory: 19925 grad_norm: 4.0239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0306 loss: 2.0306 2022/08/10 17:58:55 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 2.0000e-02 eta: 20:54:07 time: 0.8320 data_time: 0.0158 memory: 19925 grad_norm: 4.1214 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0980 loss: 2.0980 2022/08/10 17:59:12 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 2.0000e-02 eta: 20:53:38 time: 0.8349 data_time: 0.0175 memory: 19925 grad_norm: 4.0267 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9754 loss: 1.9754 2022/08/10 17:59:28 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 2.0000e-02 eta: 20:53:09 time: 0.8360 data_time: 0.0178 memory: 19925 grad_norm: 4.4068 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3260 loss: 2.3260 2022/08/10 17:59:45 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 2.0000e-02 eta: 20:52:40 time: 0.8339 data_time: 0.0165 memory: 19925 grad_norm: 4.0574 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 2.0583 loss: 2.0583 2022/08/10 18:00:02 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 2.0000e-02 eta: 20:52:11 time: 0.8351 data_time: 0.0172 memory: 19925 grad_norm: 4.1135 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.1728 loss: 2.1728 2022/08/10 18:00:22 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 2.0000e-02 eta: 20:52:14 time: 1.0429 data_time: 0.0453 memory: 19925 grad_norm: 4.0960 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3245 loss: 2.3245 2022/08/10 18:00:39 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 2.0000e-02 eta: 20:51:45 time: 0.8366 data_time: 0.0167 memory: 19925 grad_norm: 4.1280 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0065 loss: 2.0065 2022/08/10 18:00:56 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 2.0000e-02 eta: 20:51:18 time: 0.8411 data_time: 0.0166 memory: 19925 grad_norm: 4.0784 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0496 loss: 2.0496 2022/08/10 18:01:00 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 18:01:13 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 2.0000e-02 eta: 20:50:49 time: 0.8363 data_time: 0.0156 memory: 19925 grad_norm: 4.0290 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9047 loss: 1.9047 2022/08/10 18:01:30 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 2.0000e-02 eta: 20:50:22 time: 0.8448 data_time: 0.0190 memory: 19925 grad_norm: 4.0948 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0585 loss: 2.0585 2022/08/10 18:01:46 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 2.0000e-02 eta: 20:49:54 time: 0.8389 data_time: 0.0165 memory: 19925 grad_norm: 4.0891 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0941 loss: 2.0941 2022/08/10 18:02:03 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 2.0000e-02 eta: 20:49:25 time: 0.8321 data_time: 0.0152 memory: 19925 grad_norm: 4.1883 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1804 loss: 2.1804 2022/08/10 18:02:20 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 2.0000e-02 eta: 20:48:56 time: 0.8305 data_time: 0.0162 memory: 19925 grad_norm: 4.1637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9378 loss: 1.9378 2022/08/10 18:02:36 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 2.0000e-02 eta: 20:48:27 time: 0.8339 data_time: 0.0156 memory: 19925 grad_norm: 4.0217 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9587 loss: 1.9587 2022/08/10 18:02:55 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 2.0000e-02 eta: 20:48:16 time: 0.9485 data_time: 0.0172 memory: 19925 grad_norm: 4.0821 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.1402 loss: 2.1402 2022/08/10 18:03:14 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 2.0000e-02 eta: 20:48:04 time: 0.9488 data_time: 0.0178 memory: 19925 grad_norm: 3.8779 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2704 loss: 2.2704 2022/08/10 18:03:33 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 2.0000e-02 eta: 20:47:47 time: 0.9117 data_time: 0.0169 memory: 19925 grad_norm: 4.0770 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2270 loss: 2.2270 2022/08/10 18:03:49 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 2.0000e-02 eta: 20:47:18 time: 0.8293 data_time: 0.0162 memory: 19925 grad_norm: 4.0611 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0372 loss: 2.0372 2022/08/10 18:04:06 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 2.0000e-02 eta: 20:46:49 time: 0.8293 data_time: 0.0178 memory: 19925 grad_norm: 3.9918 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0870 loss: 2.0870 2022/08/10 18:04:22 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 2.0000e-02 eta: 20:46:20 time: 0.8300 data_time: 0.0159 memory: 19925 grad_norm: 4.0263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9575 loss: 1.9575 2022/08/10 18:04:39 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 2.0000e-02 eta: 20:45:52 time: 0.8362 data_time: 0.0207 memory: 19925 grad_norm: 4.0895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9891 loss: 1.9891 2022/08/10 18:04:54 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 18:04:54 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 2.0000e-02 eta: 20:45:52 time: 0.8103 data_time: 0.0152 memory: 19925 grad_norm: 4.1480 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0922 loss: 2.0922 2022/08/10 18:04:54 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/10 18:05:23 - mmengine - INFO - Epoch(val) [6][20/155] eta: 0:02:57 time: 1.3166 data_time: 1.0856 memory: 2570 2022/08/10 18:05:29 - mmengine - INFO - Epoch(val) [6][40/155] eta: 0:00:37 time: 0.3249 data_time: 0.0954 memory: 2570 2022/08/10 18:05:45 - mmengine - INFO - Epoch(val) [6][60/155] eta: 0:01:15 time: 0.7971 data_time: 0.5675 memory: 2570 2022/08/10 18:05:54 - mmengine - INFO - Epoch(val) [6][80/155] eta: 0:00:32 time: 0.4385 data_time: 0.2083 memory: 2570 2022/08/10 18:06:10 - mmengine - INFO - Epoch(val) [6][100/155] eta: 0:00:43 time: 0.7937 data_time: 0.5648 memory: 2570 2022/08/10 18:06:29 - mmengine - INFO - Epoch(val) [6][120/155] eta: 0:00:33 time: 0.9538 data_time: 0.7247 memory: 2570 2022/08/10 18:06:41 - mmengine - INFO - Epoch(val) [6][140/155] eta: 0:00:09 time: 0.6232 data_time: 0.3938 memory: 2570 2022/08/10 18:06:55 - mmengine - INFO - Epoch(val) [6][155/155] acc/top1: 0.5239 acc/top5: 0.7795 acc/mean1: 0.5237 2022/08/10 18:06:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/08/10 18:06:57 - mmengine - INFO - The best checkpoint with 0.5239 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/10 18:07:18 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 2.0000e-02 eta: 20:43:38 time: 1.0892 data_time: 0.1847 memory: 19925 grad_norm: 4.0213 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8723 loss: 1.8723 2022/08/10 18:07:35 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 2.0000e-02 eta: 20:43:09 time: 0.8294 data_time: 0.0176 memory: 19925 grad_norm: 4.0314 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0981 loss: 2.0981 2022/08/10 18:07:54 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 2.0000e-02 eta: 20:42:56 time: 0.9335 data_time: 0.0168 memory: 19925 grad_norm: 4.0351 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8160 loss: 1.8160 2022/08/10 18:08:10 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 2.0000e-02 eta: 20:42:27 time: 0.8314 data_time: 0.0156 memory: 19925 grad_norm: 4.1199 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0097 loss: 2.0097 2022/08/10 18:08:27 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 2.0000e-02 eta: 20:41:59 time: 0.8328 data_time: 0.0187 memory: 19925 grad_norm: 4.0352 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0886 loss: 2.0886 2022/08/10 18:08:44 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 2.0000e-02 eta: 20:41:30 time: 0.8284 data_time: 0.0162 memory: 19925 grad_norm: 3.9796 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8456 loss: 1.8456 2022/08/10 18:09:00 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 2.0000e-02 eta: 20:41:02 time: 0.8319 data_time: 0.0161 memory: 19925 grad_norm: 4.0458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8784 loss: 1.8784 2022/08/10 18:09:17 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 2.0000e-02 eta: 20:40:35 time: 0.8418 data_time: 0.0161 memory: 19925 grad_norm: 4.0702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8935 loss: 1.8935 2022/08/10 18:09:34 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 2.0000e-02 eta: 20:40:12 time: 0.8674 data_time: 0.0156 memory: 19925 grad_norm: 4.0544 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0053 loss: 2.0053 2022/08/10 18:09:51 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 2.0000e-02 eta: 20:39:45 time: 0.8334 data_time: 0.0228 memory: 19925 grad_norm: 4.1885 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1567 loss: 2.1567 2022/08/10 18:10:08 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 2.0000e-02 eta: 20:39:21 time: 0.8650 data_time: 0.0174 memory: 19925 grad_norm: 4.1717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8594 loss: 1.8594 2022/08/10 18:10:25 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 2.0000e-02 eta: 20:38:56 time: 0.8505 data_time: 0.0237 memory: 19925 grad_norm: 3.9967 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9179 loss: 1.9179 2022/08/10 18:10:42 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 2.0000e-02 eta: 20:38:28 time: 0.8330 data_time: 0.0147 memory: 19925 grad_norm: 4.0931 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1300 loss: 2.1300 2022/08/10 18:11:00 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 2.0000e-02 eta: 20:38:06 time: 0.8759 data_time: 0.0168 memory: 19925 grad_norm: 4.0310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0095 loss: 2.0095 2022/08/10 18:11:16 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 2.0000e-02 eta: 20:37:40 time: 0.8421 data_time: 0.0165 memory: 19925 grad_norm: 3.9507 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0582 loss: 2.0582 2022/08/10 18:11:33 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 2.0000e-02 eta: 20:37:12 time: 0.8340 data_time: 0.0172 memory: 19925 grad_norm: 4.0188 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9883 loss: 1.9883 2022/08/10 18:11:50 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 2.0000e-02 eta: 20:36:43 time: 0.8257 data_time: 0.0179 memory: 19925 grad_norm: 3.9746 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9566 loss: 1.9566 2022/08/10 18:12:06 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 2.0000e-02 eta: 20:36:16 time: 0.8364 data_time: 0.0184 memory: 19925 grad_norm: 4.1533 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8721 loss: 1.8721 2022/08/10 18:12:23 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 2.0000e-02 eta: 20:35:48 time: 0.8298 data_time: 0.0155 memory: 19925 grad_norm: 4.0799 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1958 loss: 2.1958 2022/08/10 18:12:40 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 2.0000e-02 eta: 20:35:20 time: 0.8300 data_time: 0.0168 memory: 19925 grad_norm: 3.9810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0597 loss: 2.0597 2022/08/10 18:12:56 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 2.0000e-02 eta: 20:34:53 time: 0.8346 data_time: 0.0160 memory: 19925 grad_norm: 4.0463 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8290 loss: 1.8290 2022/08/10 18:13:13 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 2.0000e-02 eta: 20:34:27 time: 0.8470 data_time: 0.0168 memory: 19925 grad_norm: 4.0771 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1410 loss: 2.1410 2022/08/10 18:13:30 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 2.0000e-02 eta: 20:34:01 time: 0.8458 data_time: 0.0235 memory: 19925 grad_norm: 3.9750 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8703 loss: 1.8703 2022/08/10 18:13:47 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 2.0000e-02 eta: 20:33:34 time: 0.8358 data_time: 0.0170 memory: 19925 grad_norm: 4.0898 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8742 loss: 1.8742 2022/08/10 18:14:04 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 2.0000e-02 eta: 20:33:08 time: 0.8380 data_time: 0.0167 memory: 19925 grad_norm: 3.9012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0646 loss: 2.0646 2022/08/10 18:14:20 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 2.0000e-02 eta: 20:32:41 time: 0.8378 data_time: 0.0169 memory: 19925 grad_norm: 4.0162 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9566 loss: 1.9566 2022/08/10 18:14:37 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 2.0000e-02 eta: 20:32:14 time: 0.8367 data_time: 0.0160 memory: 19925 grad_norm: 4.1211 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2728 loss: 2.2728 2022/08/10 18:14:54 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 2.0000e-02 eta: 20:31:49 time: 0.8502 data_time: 0.0180 memory: 19925 grad_norm: 4.1858 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8688 loss: 1.8688 2022/08/10 18:15:11 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 2.0000e-02 eta: 20:31:24 time: 0.8519 data_time: 0.0176 memory: 19925 grad_norm: 4.0009 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0078 loss: 2.0078 2022/08/10 18:15:28 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 2.0000e-02 eta: 20:30:58 time: 0.8358 data_time: 0.0177 memory: 19925 grad_norm: 3.9707 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8843 loss: 1.8843 2022/08/10 18:15:45 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 2.0000e-02 eta: 20:30:31 time: 0.8383 data_time: 0.0162 memory: 19925 grad_norm: 4.1178 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9573 loss: 1.9573 2022/08/10 18:16:01 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 2.0000e-02 eta: 20:30:04 time: 0.8331 data_time: 0.0166 memory: 19925 grad_norm: 3.9965 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0634 loss: 2.0634 2022/08/10 18:16:18 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 2.0000e-02 eta: 20:29:37 time: 0.8357 data_time: 0.0163 memory: 19925 grad_norm: 3.8537 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9501 loss: 1.9501 2022/08/10 18:16:35 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 2.0000e-02 eta: 20:29:11 time: 0.8376 data_time: 0.0170 memory: 19925 grad_norm: 3.9324 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8209 loss: 1.8209 2022/08/10 18:16:52 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 2.0000e-02 eta: 20:28:45 time: 0.8428 data_time: 0.0175 memory: 19925 grad_norm: 3.9595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9621 loss: 1.9621 2022/08/10 18:17:10 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 2.0000e-02 eta: 20:28:31 time: 0.9257 data_time: 0.0162 memory: 19925 grad_norm: 3.9353 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9553 loss: 1.9553 2022/08/10 18:17:16 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 18:17:28 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 2.0000e-02 eta: 20:28:09 time: 0.8767 data_time: 0.0166 memory: 19925 grad_norm: 3.9942 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0675 loss: 2.0675 2022/08/10 18:17:45 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 2.0000e-02 eta: 20:27:44 time: 0.8423 data_time: 0.0170 memory: 19925 grad_norm: 3.9439 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2095 loss: 2.2095 2022/08/10 18:18:03 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 2.0000e-02 eta: 20:27:26 time: 0.9034 data_time: 0.0500 memory: 19925 grad_norm: 4.0984 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9062 loss: 1.9062 2022/08/10 18:18:20 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 2.0000e-02 eta: 20:27:03 time: 0.8596 data_time: 0.0179 memory: 19925 grad_norm: 3.9960 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9451 loss: 1.9451 2022/08/10 18:18:37 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 2.0000e-02 eta: 20:26:38 time: 0.8470 data_time: 0.0181 memory: 19925 grad_norm: 3.9822 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8975 loss: 1.8975 2022/08/10 18:18:53 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 2.0000e-02 eta: 20:26:11 time: 0.8372 data_time: 0.0188 memory: 19925 grad_norm: 3.9979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1735 loss: 2.1735 2022/08/10 18:19:11 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 2.0000e-02 eta: 20:25:49 time: 0.8628 data_time: 0.0406 memory: 19925 grad_norm: 4.0392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0628 loss: 2.0628 2022/08/10 18:19:28 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 2.0000e-02 eta: 20:25:23 time: 0.8400 data_time: 0.0164 memory: 19925 grad_norm: 3.9475 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1501 loss: 2.1501 2022/08/10 18:19:44 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 2.0000e-02 eta: 20:24:56 time: 0.8329 data_time: 0.0160 memory: 19925 grad_norm: 4.1781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0503 loss: 2.0503 2022/08/10 18:20:01 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 2.0000e-02 eta: 20:24:30 time: 0.8364 data_time: 0.0167 memory: 19925 grad_norm: 4.0168 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0871 loss: 2.0871 2022/08/10 18:20:20 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 2.0000e-02 eta: 20:24:16 time: 0.9306 data_time: 0.0183 memory: 19925 grad_norm: 3.9641 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0326 loss: 2.0326 2022/08/10 18:20:36 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 2.0000e-02 eta: 20:23:50 time: 0.8388 data_time: 0.0183 memory: 19925 grad_norm: 3.9256 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0533 loss: 2.0533 2022/08/10 18:20:53 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 2.0000e-02 eta: 20:23:24 time: 0.8377 data_time: 0.0178 memory: 19925 grad_norm: 4.0262 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0443 loss: 2.0443 2022/08/10 18:21:10 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 2.0000e-02 eta: 20:22:59 time: 0.8451 data_time: 0.0177 memory: 19925 grad_norm: 4.0148 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0429 loss: 2.0429 2022/08/10 18:21:27 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 2.0000e-02 eta: 20:22:34 time: 0.8503 data_time: 0.0178 memory: 19925 grad_norm: 4.0450 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9922 loss: 1.9922 2022/08/10 18:21:44 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 2.0000e-02 eta: 20:22:10 time: 0.8536 data_time: 0.0194 memory: 19925 grad_norm: 4.0938 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9181 loss: 1.9181 2022/08/10 18:22:03 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 2.0000e-02 eta: 20:21:59 time: 0.9451 data_time: 0.0149 memory: 19925 grad_norm: 4.0305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8713 loss: 1.8713 2022/08/10 18:22:22 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 2.0000e-02 eta: 20:21:46 time: 0.9384 data_time: 0.0172 memory: 19925 grad_norm: 4.1238 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1589 loss: 2.1589 2022/08/10 18:22:40 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 2.0000e-02 eta: 20:21:28 time: 0.8960 data_time: 0.0239 memory: 19925 grad_norm: 3.9269 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9417 loss: 1.9417 2022/08/10 18:22:59 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 2.0000e-02 eta: 20:21:17 time: 0.9511 data_time: 0.1315 memory: 19925 grad_norm: 3.9679 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1250 loss: 2.1250 2022/08/10 18:23:16 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 2.0000e-02 eta: 20:20:53 time: 0.8537 data_time: 0.0252 memory: 19925 grad_norm: 4.0389 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8036 loss: 1.8036 2022/08/10 18:23:34 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 2.0000e-02 eta: 20:20:34 time: 0.8905 data_time: 0.0166 memory: 19925 grad_norm: 3.9222 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9180 loss: 1.9180 2022/08/10 18:23:50 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 2.0000e-02 eta: 20:20:08 time: 0.8392 data_time: 0.0170 memory: 19925 grad_norm: 3.9326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9678 loss: 1.9678 2022/08/10 18:24:09 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 2.0000e-02 eta: 20:19:54 time: 0.9270 data_time: 0.0825 memory: 19925 grad_norm: 4.1109 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8976 loss: 1.8976 2022/08/10 18:24:26 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 2.0000e-02 eta: 20:19:27 time: 0.8336 data_time: 0.0166 memory: 19925 grad_norm: 3.9737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9375 loss: 1.9375 2022/08/10 18:24:43 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 2.0000e-02 eta: 20:19:06 time: 0.8750 data_time: 0.0318 memory: 19925 grad_norm: 4.0704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0427 loss: 2.0427 2022/08/10 18:25:02 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 2.0000e-02 eta: 20:18:57 time: 0.9626 data_time: 0.0153 memory: 19925 grad_norm: 3.9839 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0118 loss: 2.0118 2022/08/10 18:25:19 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 2.0000e-02 eta: 20:18:31 time: 0.8370 data_time: 0.0169 memory: 19925 grad_norm: 3.8552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/08/10 18:25:36 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 2.0000e-02 eta: 20:18:05 time: 0.8369 data_time: 0.0208 memory: 19925 grad_norm: 3.9785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0629 loss: 2.0629 2022/08/10 18:25:52 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 2.0000e-02 eta: 20:17:39 time: 0.8334 data_time: 0.0177 memory: 19925 grad_norm: 4.0680 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9657 loss: 1.9657 2022/08/10 18:26:09 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 2.0000e-02 eta: 20:17:12 time: 0.8313 data_time: 0.0166 memory: 19925 grad_norm: 4.1577 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0922 loss: 2.0922 2022/08/10 18:26:26 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 2.0000e-02 eta: 20:16:46 time: 0.8327 data_time: 0.0170 memory: 19925 grad_norm: 3.9166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/08/10 18:26:43 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 2.0000e-02 eta: 20:16:20 time: 0.8405 data_time: 0.0162 memory: 19925 grad_norm: 3.9205 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0485 loss: 2.0485 2022/08/10 18:26:59 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 2.0000e-02 eta: 20:15:55 time: 0.8369 data_time: 0.0176 memory: 19925 grad_norm: 3.9148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9516 loss: 1.9516 2022/08/10 18:27:16 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 2.0000e-02 eta: 20:15:29 time: 0.8383 data_time: 0.0170 memory: 19925 grad_norm: 4.0202 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1880 loss: 2.1880 2022/08/10 18:27:33 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 2.0000e-02 eta: 20:15:06 time: 0.8574 data_time: 0.0173 memory: 19925 grad_norm: 3.9159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9106 loss: 1.9106 2022/08/10 18:27:52 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 2.0000e-02 eta: 20:14:51 time: 0.9235 data_time: 0.0165 memory: 19925 grad_norm: 3.9810 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/08/10 18:28:09 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 2.0000e-02 eta: 20:14:29 time: 0.8603 data_time: 0.0343 memory: 19925 grad_norm: 3.9395 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1348 loss: 2.1348 2022/08/10 18:28:27 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 2.0000e-02 eta: 20:14:14 time: 0.9185 data_time: 0.0169 memory: 19925 grad_norm: 4.0152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9443 loss: 1.9443 2022/08/10 18:28:46 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 2.0000e-02 eta: 20:13:57 time: 0.9124 data_time: 0.0174 memory: 19925 grad_norm: 4.0484 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9762 loss: 1.9762 2022/08/10 18:29:02 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 2.0000e-02 eta: 20:13:32 time: 0.8362 data_time: 0.0166 memory: 19925 grad_norm: 3.9996 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0112 loss: 2.0112 2022/08/10 18:29:19 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 2.0000e-02 eta: 20:13:07 time: 0.8411 data_time: 0.0169 memory: 19925 grad_norm: 3.9818 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0058 loss: 2.0058 2022/08/10 18:29:36 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 2.0000e-02 eta: 20:12:42 time: 0.8450 data_time: 0.0176 memory: 19925 grad_norm: 3.8835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9579 loss: 1.9579 2022/08/10 18:29:54 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 2.0000e-02 eta: 20:12:23 time: 0.8879 data_time: 0.0164 memory: 19925 grad_norm: 3.9589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0718 loss: 2.0718 2022/08/10 18:30:11 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 2.0000e-02 eta: 20:12:01 time: 0.8683 data_time: 0.0194 memory: 19925 grad_norm: 4.0396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1769 loss: 2.1769 2022/08/10 18:30:28 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 2.0000e-02 eta: 20:11:39 time: 0.8645 data_time: 0.0382 memory: 19925 grad_norm: 4.0618 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0244 loss: 2.0244 2022/08/10 18:30:45 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 2.0000e-02 eta: 20:11:14 time: 0.8390 data_time: 0.0178 memory: 19925 grad_norm: 3.9647 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/10 18:31:02 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 2.0000e-02 eta: 20:10:49 time: 0.8391 data_time: 0.0161 memory: 19925 grad_norm: 3.8885 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1474 loss: 2.1474 2022/08/10 18:31:19 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 2.0000e-02 eta: 20:10:24 time: 0.8390 data_time: 0.0156 memory: 19925 grad_norm: 3.8395 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9196 loss: 1.9196 2022/08/10 18:31:36 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 2.0000e-02 eta: 20:10:01 time: 0.8565 data_time: 0.0182 memory: 19925 grad_norm: 3.9436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8043 loss: 1.8043 2022/08/10 18:31:44 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 18:31:56 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 2.0000e-02 eta: 20:09:55 time: 0.9951 data_time: 0.1698 memory: 19925 grad_norm: 4.0303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/08/10 18:32:12 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 2.0000e-02 eta: 20:09:29 time: 0.8336 data_time: 0.0156 memory: 19925 grad_norm: 3.9845 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/08/10 18:32:32 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 2.0000e-02 eta: 20:09:22 time: 0.9833 data_time: 0.1594 memory: 19925 grad_norm: 3.9910 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9700 loss: 1.9700 2022/08/10 18:32:52 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 2.0000e-02 eta: 20:09:19 time: 1.0135 data_time: 0.1020 memory: 19925 grad_norm: 3.8483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0755 loss: 2.0755 2022/08/10 18:33:10 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 2.0000e-02 eta: 20:08:58 time: 0.8723 data_time: 0.0324 memory: 19925 grad_norm: 3.9447 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9874 loss: 1.9874 2022/08/10 18:33:27 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 2.0000e-02 eta: 20:08:37 time: 0.8737 data_time: 0.0173 memory: 19925 grad_norm: 3.9092 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9395 loss: 1.9395 2022/08/10 18:33:44 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 2.0000e-02 eta: 20:08:10 time: 0.8283 data_time: 0.0155 memory: 19925 grad_norm: 3.8912 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9016 loss: 1.9016 2022/08/10 18:34:00 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 18:34:00 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 2.0000e-02 eta: 20:08:10 time: 0.8238 data_time: 0.0161 memory: 19925 grad_norm: 4.1381 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9533 loss: 1.9533 2022/08/10 18:34:18 - mmengine - INFO - Epoch(val) [7][20/155] eta: 0:02:04 time: 0.9240 data_time: 0.6910 memory: 2570 2022/08/10 18:34:27 - mmengine - INFO - Epoch(val) [7][40/155] eta: 0:00:51 time: 0.4467 data_time: 0.2165 memory: 2570 2022/08/10 18:34:39 - mmengine - INFO - Epoch(val) [7][60/155] eta: 0:00:59 time: 0.6221 data_time: 0.3924 memory: 2570 2022/08/10 18:34:52 - mmengine - INFO - Epoch(val) [7][80/155] eta: 0:00:47 time: 0.6307 data_time: 0.3995 memory: 2570 2022/08/10 18:35:08 - mmengine - INFO - Epoch(val) [7][100/155] eta: 0:00:44 time: 0.8123 data_time: 0.5830 memory: 2570 2022/08/10 18:35:24 - mmengine - INFO - Epoch(val) [7][120/155] eta: 0:00:28 time: 0.8063 data_time: 0.5773 memory: 2570 2022/08/10 18:35:41 - mmengine - INFO - Epoch(val) [7][140/155] eta: 0:00:12 time: 0.8166 data_time: 0.5877 memory: 2570 2022/08/10 18:35:54 - mmengine - INFO - Epoch(val) [7][155/155] acc/top1: 0.5418 acc/top5: 0.7929 acc/mean1: 0.5418 2022/08/10 18:35:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/10 18:35:55 - mmengine - INFO - The best checkpoint with 0.5418 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/10 18:36:18 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 2.0000e-02 eta: 20:06:20 time: 1.1356 data_time: 0.2559 memory: 19925 grad_norm: 3.9658 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8754 loss: 1.8754 2022/08/10 18:36:35 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 2.0000e-02 eta: 20:05:55 time: 0.8358 data_time: 0.0172 memory: 19925 grad_norm: 4.0922 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0039 loss: 2.0039 2022/08/10 18:36:51 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 2.0000e-02 eta: 20:05:29 time: 0.8335 data_time: 0.0164 memory: 19925 grad_norm: 3.9825 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6313 loss: 1.6313 2022/08/10 18:37:08 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 2.0000e-02 eta: 20:05:04 time: 0.8371 data_time: 0.0175 memory: 19925 grad_norm: 3.8958 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0033 loss: 2.0033 2022/08/10 18:37:25 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 2.0000e-02 eta: 20:04:39 time: 0.8330 data_time: 0.0156 memory: 19925 grad_norm: 3.9227 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7257 loss: 1.7257 2022/08/10 18:37:41 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 2.0000e-02 eta: 20:04:12 time: 0.8263 data_time: 0.0164 memory: 19925 grad_norm: 3.8477 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8618 loss: 1.8618 2022/08/10 18:38:00 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 2.0000e-02 eta: 20:03:58 time: 0.9285 data_time: 0.0158 memory: 19925 grad_norm: 4.0566 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9226 loss: 1.9226 2022/08/10 18:38:17 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 2.0000e-02 eta: 20:03:33 time: 0.8328 data_time: 0.0188 memory: 19925 grad_norm: 4.0356 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.7816 loss: 1.7816 2022/08/10 18:38:33 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 2.0000e-02 eta: 20:03:07 time: 0.8307 data_time: 0.0173 memory: 19925 grad_norm: 4.0276 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9577 loss: 1.9577 2022/08/10 18:38:50 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 2.0000e-02 eta: 20:02:41 time: 0.8292 data_time: 0.0163 memory: 19925 grad_norm: 3.9813 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/08/10 18:39:06 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 2.0000e-02 eta: 20:02:16 time: 0.8311 data_time: 0.0169 memory: 19925 grad_norm: 4.0384 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0676 loss: 2.0676 2022/08/10 18:39:23 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 2.0000e-02 eta: 20:01:50 time: 0.8290 data_time: 0.0163 memory: 19925 grad_norm: 4.0110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8793 loss: 1.8793 2022/08/10 18:39:40 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 2.0000e-02 eta: 20:01:24 time: 0.8329 data_time: 0.0166 memory: 19925 grad_norm: 3.9347 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9566 loss: 1.9566 2022/08/10 18:39:56 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 2.0000e-02 eta: 20:00:59 time: 0.8314 data_time: 0.0179 memory: 19925 grad_norm: 3.9493 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7639 loss: 1.7639 2022/08/10 18:40:13 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 2.0000e-02 eta: 20:00:35 time: 0.8471 data_time: 0.0263 memory: 19925 grad_norm: 4.0245 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0551 loss: 2.0551 2022/08/10 18:40:30 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 2.0000e-02 eta: 20:00:10 time: 0.8324 data_time: 0.0164 memory: 19925 grad_norm: 3.9531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0246 loss: 2.0246 2022/08/10 18:40:47 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 2.0000e-02 eta: 19:59:45 time: 0.8373 data_time: 0.0174 memory: 19925 grad_norm: 4.0074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9956 loss: 1.9956 2022/08/10 18:41:03 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 2.0000e-02 eta: 19:59:19 time: 0.8283 data_time: 0.0162 memory: 19925 grad_norm: 3.9468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9017 loss: 1.9017 2022/08/10 18:41:20 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 2.0000e-02 eta: 19:58:54 time: 0.8339 data_time: 0.0183 memory: 19925 grad_norm: 3.9646 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8327 loss: 1.8327 2022/08/10 18:41:36 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 2.0000e-02 eta: 19:58:28 time: 0.8277 data_time: 0.0151 memory: 19925 grad_norm: 3.9617 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9867 loss: 1.9867 2022/08/10 18:41:53 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 2.0000e-02 eta: 19:58:02 time: 0.8241 data_time: 0.0157 memory: 19925 grad_norm: 3.9653 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9635 loss: 1.9635 2022/08/10 18:42:10 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 2.0000e-02 eta: 19:57:37 time: 0.8334 data_time: 0.0165 memory: 19925 grad_norm: 3.8797 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8081 loss: 1.8081 2022/08/10 18:42:26 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 2.0000e-02 eta: 19:57:12 time: 0.8326 data_time: 0.0170 memory: 19925 grad_norm: 3.9645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/10 18:42:43 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 2.0000e-02 eta: 19:56:46 time: 0.8301 data_time: 0.0169 memory: 19925 grad_norm: 3.9146 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9008 loss: 1.9008 2022/08/10 18:43:00 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 2.0000e-02 eta: 19:56:22 time: 0.8385 data_time: 0.0160 memory: 19925 grad_norm: 3.9006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9121 loss: 1.9121 2022/08/10 18:43:16 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 2.0000e-02 eta: 19:55:57 time: 0.8343 data_time: 0.0173 memory: 19925 grad_norm: 3.9678 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8608 loss: 1.8608 2022/08/10 18:43:33 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 2.0000e-02 eta: 19:55:32 time: 0.8339 data_time: 0.0168 memory: 19925 grad_norm: 3.9954 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/08/10 18:43:50 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 2.0000e-02 eta: 19:55:07 time: 0.8354 data_time: 0.0165 memory: 19925 grad_norm: 3.9956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/08/10 18:44:06 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 2.0000e-02 eta: 19:54:43 time: 0.8360 data_time: 0.0172 memory: 19925 grad_norm: 3.9781 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8688 loss: 1.8688 2022/08/10 18:44:23 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 2.0000e-02 eta: 19:54:17 time: 0.8293 data_time: 0.0163 memory: 19925 grad_norm: 4.0121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8809 loss: 1.8809 2022/08/10 18:44:40 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 2.0000e-02 eta: 19:53:52 time: 0.8313 data_time: 0.0164 memory: 19925 grad_norm: 3.9612 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9186 loss: 1.9186 2022/08/10 18:44:56 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 2.0000e-02 eta: 19:53:27 time: 0.8313 data_time: 0.0167 memory: 19925 grad_norm: 3.8622 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0319 loss: 2.0319 2022/08/10 18:45:13 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 2.0000e-02 eta: 19:53:02 time: 0.8327 data_time: 0.0193 memory: 19925 grad_norm: 3.9730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0197 loss: 2.0197 2022/08/10 18:45:31 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 2.0000e-02 eta: 19:52:44 time: 0.8926 data_time: 0.0189 memory: 19925 grad_norm: 3.9207 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7414 loss: 1.7414 2022/08/10 18:45:47 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 2.0000e-02 eta: 19:52:19 time: 0.8303 data_time: 0.0178 memory: 19925 grad_norm: 3.9730 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1826 loss: 2.1826 2022/08/10 18:46:04 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 2.0000e-02 eta: 19:51:54 time: 0.8320 data_time: 0.0183 memory: 19925 grad_norm: 3.9289 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9427 loss: 1.9427 2022/08/10 18:46:21 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 2.0000e-02 eta: 19:51:29 time: 0.8276 data_time: 0.0171 memory: 19925 grad_norm: 4.0129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7474 loss: 1.7474 2022/08/10 18:46:37 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 2.0000e-02 eta: 19:51:04 time: 0.8334 data_time: 0.0180 memory: 19925 grad_norm: 3.8882 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7729 loss: 1.7729 2022/08/10 18:46:54 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 2.0000e-02 eta: 19:50:39 time: 0.8290 data_time: 0.0175 memory: 19925 grad_norm: 3.9829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9465 loss: 1.9465 2022/08/10 18:47:11 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 2.0000e-02 eta: 19:50:15 time: 0.8357 data_time: 0.0167 memory: 19925 grad_norm: 3.9657 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9722 loss: 1.9722 2022/08/10 18:47:27 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 2.0000e-02 eta: 19:49:50 time: 0.8352 data_time: 0.0230 memory: 19925 grad_norm: 4.0023 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8013 loss: 1.8013 2022/08/10 18:47:44 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 2.0000e-02 eta: 19:49:25 time: 0.8258 data_time: 0.0164 memory: 19925 grad_norm: 3.8063 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.0427 loss: 2.0427 2022/08/10 18:47:51 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 18:48:02 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 2.0000e-02 eta: 19:49:08 time: 0.9007 data_time: 0.0168 memory: 19925 grad_norm: 3.9625 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9182 loss: 1.9182 2022/08/10 18:48:18 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 2.0000e-02 eta: 19:48:43 time: 0.8303 data_time: 0.0206 memory: 19925 grad_norm: 3.9334 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9515 loss: 1.9515 2022/08/10 18:48:35 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 2.0000e-02 eta: 19:48:18 time: 0.8318 data_time: 0.0177 memory: 19925 grad_norm: 3.9080 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8547 loss: 1.8547 2022/08/10 18:48:52 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 2.0000e-02 eta: 19:47:54 time: 0.8348 data_time: 0.0168 memory: 19925 grad_norm: 3.8643 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6744 loss: 1.6744 2022/08/10 18:49:08 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 2.0000e-02 eta: 19:47:29 time: 0.8336 data_time: 0.0174 memory: 19925 grad_norm: 4.0265 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8845 loss: 1.8845 2022/08/10 18:49:25 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 2.0000e-02 eta: 19:47:05 time: 0.8360 data_time: 0.0167 memory: 19925 grad_norm: 4.0158 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8725 loss: 1.8725 2022/08/10 18:49:42 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 2.0000e-02 eta: 19:46:41 time: 0.8401 data_time: 0.0168 memory: 19925 grad_norm: 3.9458 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7987 loss: 1.7987 2022/08/10 18:49:59 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 2.0000e-02 eta: 19:46:17 time: 0.8359 data_time: 0.0180 memory: 19925 grad_norm: 3.8199 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8297 loss: 1.8297 2022/08/10 18:50:19 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 2.0000e-02 eta: 19:46:13 time: 1.0114 data_time: 0.0187 memory: 19925 grad_norm: 4.0185 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8686 loss: 1.8686 2022/08/10 18:50:35 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 2.0000e-02 eta: 19:45:48 time: 0.8295 data_time: 0.0169 memory: 19925 grad_norm: 3.9027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8779 loss: 1.8779 2022/08/10 18:50:52 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 2.0000e-02 eta: 19:45:23 time: 0.8288 data_time: 0.0164 memory: 19925 grad_norm: 3.8472 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9899 loss: 1.9899 2022/08/10 18:51:09 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 2.0000e-02 eta: 19:44:58 time: 0.8306 data_time: 0.0178 memory: 19925 grad_norm: 3.9455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/08/10 18:51:25 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 2.0000e-02 eta: 19:44:33 time: 0.8282 data_time: 0.0168 memory: 19925 grad_norm: 3.9158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9346 loss: 1.9346 2022/08/10 18:51:42 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 2.0000e-02 eta: 19:44:08 time: 0.8277 data_time: 0.0171 memory: 19925 grad_norm: 3.9674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7235 loss: 1.7235 2022/08/10 18:51:58 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 2.0000e-02 eta: 19:43:43 time: 0.8296 data_time: 0.0188 memory: 19925 grad_norm: 4.0578 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8461 loss: 1.8461 2022/08/10 18:52:15 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 2.0000e-02 eta: 19:43:18 time: 0.8263 data_time: 0.0162 memory: 19925 grad_norm: 3.9998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8573 loss: 1.8573 2022/08/10 18:52:32 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 2.0000e-02 eta: 19:42:55 time: 0.8406 data_time: 0.0179 memory: 19925 grad_norm: 3.8671 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9808 loss: 1.9808 2022/08/10 18:52:48 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 2.0000e-02 eta: 19:42:30 time: 0.8303 data_time: 0.0164 memory: 19925 grad_norm: 3.9545 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8380 loss: 1.8380 2022/08/10 18:53:05 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 2.0000e-02 eta: 19:42:05 time: 0.8288 data_time: 0.0166 memory: 19925 grad_norm: 3.8251 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9426 loss: 1.9426 2022/08/10 18:53:21 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 2.0000e-02 eta: 19:41:41 time: 0.8278 data_time: 0.0164 memory: 19925 grad_norm: 3.8255 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7687 loss: 1.7687 2022/08/10 18:53:38 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 2.0000e-02 eta: 19:41:17 time: 0.8391 data_time: 0.0253 memory: 19925 grad_norm: 3.8893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8689 loss: 1.8689 2022/08/10 18:53:55 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 2.0000e-02 eta: 19:40:53 time: 0.8325 data_time: 0.0170 memory: 19925 grad_norm: 4.0068 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0197 loss: 2.0197 2022/08/10 18:54:12 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 2.0000e-02 eta: 19:40:29 time: 0.8330 data_time: 0.0166 memory: 19925 grad_norm: 3.8665 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0022 loss: 2.0022 2022/08/10 18:54:28 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 2.0000e-02 eta: 19:40:04 time: 0.8309 data_time: 0.0176 memory: 19925 grad_norm: 3.9606 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0024 loss: 2.0024 2022/08/10 18:54:45 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 2.0000e-02 eta: 19:39:40 time: 0.8292 data_time: 0.0180 memory: 19925 grad_norm: 3.8316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9913 loss: 1.9913 2022/08/10 18:55:01 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 2.0000e-02 eta: 19:39:15 time: 0.8305 data_time: 0.0162 memory: 19925 grad_norm: 3.8708 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7710 loss: 1.7710 2022/08/10 18:55:18 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 2.0000e-02 eta: 19:38:52 time: 0.8392 data_time: 0.0192 memory: 19925 grad_norm: 3.8778 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9824 loss: 1.9824 2022/08/10 18:55:35 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 2.0000e-02 eta: 19:38:28 time: 0.8337 data_time: 0.0179 memory: 19925 grad_norm: 3.9153 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9760 loss: 1.9760 2022/08/10 18:55:51 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 2.0000e-02 eta: 19:38:03 time: 0.8265 data_time: 0.0167 memory: 19925 grad_norm: 3.9062 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8750 loss: 1.8750 2022/08/10 18:56:08 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 2.0000e-02 eta: 19:37:38 time: 0.8295 data_time: 0.0169 memory: 19925 grad_norm: 3.8795 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8413 loss: 1.8413 2022/08/10 18:56:25 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 2.0000e-02 eta: 19:37:15 time: 0.8349 data_time: 0.0184 memory: 19925 grad_norm: 4.0279 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0200 loss: 2.0200 2022/08/10 18:56:41 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 2.0000e-02 eta: 19:36:51 time: 0.8321 data_time: 0.0159 memory: 19925 grad_norm: 4.0203 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8331 loss: 1.8331 2022/08/10 18:56:58 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 2.0000e-02 eta: 19:36:26 time: 0.8280 data_time: 0.0162 memory: 19925 grad_norm: 3.9848 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9099 loss: 1.9099 2022/08/10 18:57:15 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 2.0000e-02 eta: 19:36:02 time: 0.8309 data_time: 0.0174 memory: 19925 grad_norm: 3.9134 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8803 loss: 1.8803 2022/08/10 18:57:31 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 2.0000e-02 eta: 19:35:38 time: 0.8321 data_time: 0.0172 memory: 19925 grad_norm: 3.8502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8343 loss: 1.8343 2022/08/10 18:57:48 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 2.0000e-02 eta: 19:35:14 time: 0.8388 data_time: 0.0191 memory: 19925 grad_norm: 3.9616 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8884 loss: 1.8884 2022/08/10 18:58:06 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 2.0000e-02 eta: 19:34:57 time: 0.8902 data_time: 0.0394 memory: 19925 grad_norm: 3.9396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8921 loss: 1.8921 2022/08/10 18:58:23 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 2.0000e-02 eta: 19:34:33 time: 0.8384 data_time: 0.0169 memory: 19925 grad_norm: 3.7730 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9840 loss: 1.9840 2022/08/10 18:58:39 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 2.0000e-02 eta: 19:34:09 time: 0.8335 data_time: 0.0190 memory: 19925 grad_norm: 3.8770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7139 loss: 1.7139 2022/08/10 18:58:56 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 2.0000e-02 eta: 19:33:45 time: 0.8284 data_time: 0.0177 memory: 19925 grad_norm: 3.8930 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9208 loss: 1.9208 2022/08/10 18:59:12 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 2.0000e-02 eta: 19:33:21 time: 0.8324 data_time: 0.0162 memory: 19925 grad_norm: 3.9905 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/08/10 18:59:29 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 2.0000e-02 eta: 19:32:57 time: 0.8268 data_time: 0.0166 memory: 19925 grad_norm: 3.8754 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.9315 loss: 1.9315 2022/08/10 18:59:45 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 2.0000e-02 eta: 19:32:32 time: 0.8276 data_time: 0.0174 memory: 19925 grad_norm: 3.8937 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1034 loss: 2.1034 2022/08/10 19:00:02 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 2.0000e-02 eta: 19:32:08 time: 0.8294 data_time: 0.0176 memory: 19925 grad_norm: 3.8851 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7377 loss: 1.7377 2022/08/10 19:00:19 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 2.0000e-02 eta: 19:31:45 time: 0.8397 data_time: 0.0216 memory: 19925 grad_norm: 4.1166 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9819 loss: 1.9819 2022/08/10 19:00:36 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 2.0000e-02 eta: 19:31:21 time: 0.8308 data_time: 0.0172 memory: 19925 grad_norm: 4.0111 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8871 loss: 1.8871 2022/08/10 19:00:52 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 2.0000e-02 eta: 19:30:57 time: 0.8315 data_time: 0.0159 memory: 19925 grad_norm: 3.7948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0507 loss: 2.0507 2022/08/10 19:01:09 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 2.0000e-02 eta: 19:30:33 time: 0.8332 data_time: 0.0176 memory: 19925 grad_norm: 3.9521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8331 loss: 1.8331 2022/08/10 19:01:25 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 2.0000e-02 eta: 19:30:10 time: 0.8312 data_time: 0.0169 memory: 19925 grad_norm: 3.8810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7970 loss: 1.7970 2022/08/10 19:01:42 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 2.0000e-02 eta: 19:29:45 time: 0.8291 data_time: 0.0176 memory: 19925 grad_norm: 3.9420 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9364 loss: 1.9364 2022/08/10 19:01:48 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:01:59 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 2.0000e-02 eta: 19:29:21 time: 0.8294 data_time: 0.0168 memory: 19925 grad_norm: 3.8219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6973 loss: 1.6973 2022/08/10 19:02:14 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:02:14 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 2.0000e-02 eta: 19:29:21 time: 0.8077 data_time: 0.0204 memory: 19925 grad_norm: 3.9952 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6326 loss: 1.6326 2022/08/10 19:02:29 - mmengine - INFO - Epoch(val) [8][20/155] eta: 0:01:39 time: 0.7402 data_time: 0.5071 memory: 2570 2022/08/10 19:02:40 - mmengine - INFO - Epoch(val) [8][40/155] eta: 0:01:02 time: 0.5394 data_time: 0.3058 memory: 2570 2022/08/10 19:02:51 - mmengine - INFO - Epoch(val) [8][60/155] eta: 0:00:52 time: 0.5513 data_time: 0.3194 memory: 2570 2022/08/10 19:03:01 - mmengine - INFO - Epoch(val) [8][80/155] eta: 0:00:40 time: 0.5406 data_time: 0.3089 memory: 2570 2022/08/10 19:03:12 - mmengine - INFO - Epoch(val) [8][100/155] eta: 0:00:29 time: 0.5340 data_time: 0.2984 memory: 2570 2022/08/10 19:03:25 - mmengine - INFO - Epoch(val) [8][120/155] eta: 0:00:22 time: 0.6428 data_time: 0.4119 memory: 2570 2022/08/10 19:03:38 - mmengine - INFO - Epoch(val) [8][140/155] eta: 0:00:09 time: 0.6395 data_time: 0.4088 memory: 2570 2022/08/10 19:03:54 - mmengine - INFO - Epoch(val) [8][155/155] acc/top1: 0.5619 acc/top5: 0.8095 acc/mean1: 0.5618 2022/08/10 19:03:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/10 19:03:55 - mmengine - INFO - The best checkpoint with 0.5619 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/10 19:04:19 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 2.0000e-02 eta: 19:27:50 time: 1.1919 data_time: 0.3793 memory: 19925 grad_norm: 3.9625 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0087 loss: 2.0087 2022/08/10 19:04:36 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 2.0000e-02 eta: 19:27:26 time: 0.8311 data_time: 0.0183 memory: 19925 grad_norm: 3.8407 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0473 loss: 2.0473 2022/08/10 19:04:53 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 2.0000e-02 eta: 19:27:03 time: 0.8307 data_time: 0.0178 memory: 19925 grad_norm: 3.9073 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1093 loss: 2.1093 2022/08/10 19:05:09 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 2.0000e-02 eta: 19:26:40 time: 0.8384 data_time: 0.0179 memory: 19925 grad_norm: 3.9259 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.7941 loss: 1.7941 2022/08/10 19:05:26 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 2.0000e-02 eta: 19:26:17 time: 0.8431 data_time: 0.0260 memory: 19925 grad_norm: 3.7885 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7592 loss: 1.7592 2022/08/10 19:05:43 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 2.0000e-02 eta: 19:25:54 time: 0.8382 data_time: 0.0188 memory: 19925 grad_norm: 4.0396 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6923 loss: 1.6923 2022/08/10 19:06:00 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 2.0000e-02 eta: 19:25:31 time: 0.8346 data_time: 0.0176 memory: 19925 grad_norm: 3.9333 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8431 loss: 1.8431 2022/08/10 19:06:16 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 2.0000e-02 eta: 19:25:07 time: 0.8272 data_time: 0.0176 memory: 19925 grad_norm: 3.8653 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7786 loss: 1.7786 2022/08/10 19:06:33 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 2.0000e-02 eta: 19:24:43 time: 0.8289 data_time: 0.0165 memory: 19925 grad_norm: 3.8161 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9059 loss: 1.9059 2022/08/10 19:06:49 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 2.0000e-02 eta: 19:24:20 time: 0.8363 data_time: 0.0179 memory: 19925 grad_norm: 3.9027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8430 loss: 1.8430 2022/08/10 19:07:06 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 2.0000e-02 eta: 19:23:56 time: 0.8292 data_time: 0.0174 memory: 19925 grad_norm: 3.8970 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0180 loss: 2.0180 2022/08/10 19:07:23 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 2.0000e-02 eta: 19:23:32 time: 0.8268 data_time: 0.0164 memory: 19925 grad_norm: 3.9326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9076 loss: 1.9076 2022/08/10 19:07:39 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 2.0000e-02 eta: 19:23:09 time: 0.8354 data_time: 0.0191 memory: 19925 grad_norm: 3.8926 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7769 loss: 1.7769 2022/08/10 19:07:57 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 2.0000e-02 eta: 19:22:53 time: 0.9056 data_time: 0.0174 memory: 19925 grad_norm: 3.9711 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8384 loss: 1.8384 2022/08/10 19:08:14 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 2.0000e-02 eta: 19:22:30 time: 0.8335 data_time: 0.0181 memory: 19925 grad_norm: 3.8706 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8478 loss: 1.8478 2022/08/10 19:08:31 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 2.0000e-02 eta: 19:22:08 time: 0.8429 data_time: 0.0166 memory: 19925 grad_norm: 3.9865 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8328 loss: 1.8328 2022/08/10 19:08:48 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 2.0000e-02 eta: 19:21:44 time: 0.8297 data_time: 0.0175 memory: 19925 grad_norm: 4.0005 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0382 loss: 2.0382 2022/08/10 19:09:04 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 2.0000e-02 eta: 19:21:21 time: 0.8332 data_time: 0.0173 memory: 19925 grad_norm: 3.8545 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9970 loss: 1.9970 2022/08/10 19:09:21 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 2.0000e-02 eta: 19:20:57 time: 0.8302 data_time: 0.0174 memory: 19925 grad_norm: 3.8778 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7584 loss: 1.7584 2022/08/10 19:09:37 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 2.0000e-02 eta: 19:20:34 time: 0.8268 data_time: 0.0169 memory: 19925 grad_norm: 3.8861 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0236 loss: 2.0236 2022/08/10 19:09:54 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 2.0000e-02 eta: 19:20:10 time: 0.8256 data_time: 0.0175 memory: 19925 grad_norm: 3.8796 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0097 loss: 2.0097 2022/08/10 19:10:10 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 2.0000e-02 eta: 19:19:46 time: 0.8299 data_time: 0.0183 memory: 19925 grad_norm: 3.7891 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7629 loss: 1.7629 2022/08/10 19:10:27 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 2.0000e-02 eta: 19:19:23 time: 0.8336 data_time: 0.0192 memory: 19925 grad_norm: 3.8868 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6666 loss: 1.6666 2022/08/10 19:10:44 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 2.0000e-02 eta: 19:18:59 time: 0.8273 data_time: 0.0171 memory: 19925 grad_norm: 3.9766 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/10 19:11:00 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 2.0000e-02 eta: 19:18:36 time: 0.8303 data_time: 0.0182 memory: 19925 grad_norm: 3.9282 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9791 loss: 1.9791 2022/08/10 19:11:17 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 2.0000e-02 eta: 19:18:13 time: 0.8333 data_time: 0.0175 memory: 19925 grad_norm: 3.9528 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7557 loss: 1.7557 2022/08/10 19:11:34 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 2.0000e-02 eta: 19:17:49 time: 0.8290 data_time: 0.0168 memory: 19925 grad_norm: 3.9810 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9745 loss: 1.9745 2022/08/10 19:11:50 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 2.0000e-02 eta: 19:17:26 time: 0.8298 data_time: 0.0186 memory: 19925 grad_norm: 3.8309 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/08/10 19:12:07 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 2.0000e-02 eta: 19:17:02 time: 0.8267 data_time: 0.0175 memory: 19925 grad_norm: 3.8898 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8594 loss: 1.8594 2022/08/10 19:12:23 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 2.0000e-02 eta: 19:16:39 time: 0.8274 data_time: 0.0180 memory: 19925 grad_norm: 3.9187 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6721 loss: 1.6721 2022/08/10 19:12:40 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 2.0000e-02 eta: 19:16:15 time: 0.8312 data_time: 0.0192 memory: 19925 grad_norm: 3.9602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1148 loss: 2.1148 2022/08/10 19:12:56 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 2.0000e-02 eta: 19:15:52 time: 0.8271 data_time: 0.0181 memory: 19925 grad_norm: 3.8517 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8511 loss: 1.8511 2022/08/10 19:13:13 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 2.0000e-02 eta: 19:15:28 time: 0.8286 data_time: 0.0177 memory: 19925 grad_norm: 3.8600 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0318 loss: 2.0318 2022/08/10 19:13:29 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 2.0000e-02 eta: 19:15:04 time: 0.8243 data_time: 0.0177 memory: 19925 grad_norm: 3.9529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1479 loss: 2.1479 2022/08/10 19:13:46 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 2.0000e-02 eta: 19:14:41 time: 0.8262 data_time: 0.0182 memory: 19925 grad_norm: 3.8471 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7962 loss: 1.7962 2022/08/10 19:14:03 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 2.0000e-02 eta: 19:14:18 time: 0.8346 data_time: 0.0169 memory: 19925 grad_norm: 4.0253 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0037 loss: 2.0037 2022/08/10 19:14:19 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 2.0000e-02 eta: 19:13:55 time: 0.8343 data_time: 0.0185 memory: 19925 grad_norm: 3.9599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8757 loss: 1.8757 2022/08/10 19:14:36 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 2.0000e-02 eta: 19:13:32 time: 0.8307 data_time: 0.0155 memory: 19925 grad_norm: 3.8872 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9225 loss: 1.9225 2022/08/10 19:14:53 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 2.0000e-02 eta: 19:13:09 time: 0.8269 data_time: 0.0182 memory: 19925 grad_norm: 3.9155 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8859 loss: 1.8859 2022/08/10 19:15:09 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 2.0000e-02 eta: 19:12:45 time: 0.8273 data_time: 0.0190 memory: 19925 grad_norm: 3.8326 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8738 loss: 1.8738 2022/08/10 19:15:26 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 2.0000e-02 eta: 19:12:22 time: 0.8285 data_time: 0.0186 memory: 19925 grad_norm: 3.8093 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9307 loss: 1.9307 2022/08/10 19:15:42 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 2.0000e-02 eta: 19:11:58 time: 0.8250 data_time: 0.0176 memory: 19925 grad_norm: 3.9166 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9056 loss: 1.9056 2022/08/10 19:15:59 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 2.0000e-02 eta: 19:11:35 time: 0.8250 data_time: 0.0177 memory: 19925 grad_norm: 3.8580 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0494 loss: 2.0494 2022/08/10 19:16:15 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 2.0000e-02 eta: 19:11:11 time: 0.8255 data_time: 0.0176 memory: 19925 grad_norm: 3.8805 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9777 loss: 1.9777 2022/08/10 19:16:32 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 2.0000e-02 eta: 19:10:48 time: 0.8307 data_time: 0.0179 memory: 19925 grad_norm: 3.8807 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9106 loss: 1.9106 2022/08/10 19:16:48 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 2.0000e-02 eta: 19:10:24 time: 0.8253 data_time: 0.0184 memory: 19925 grad_norm: 3.9174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8003 loss: 1.8003 2022/08/10 19:17:05 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 2.0000e-02 eta: 19:10:01 time: 0.8275 data_time: 0.0176 memory: 19925 grad_norm: 3.8786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/08/10 19:17:21 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 2.0000e-02 eta: 19:09:38 time: 0.8259 data_time: 0.0175 memory: 19925 grad_norm: 3.8683 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9493 loss: 1.9493 2022/08/10 19:17:28 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:17:38 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 2.0000e-02 eta: 19:09:14 time: 0.8268 data_time: 0.0159 memory: 19925 grad_norm: 3.8217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/08/10 19:17:56 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 2.0000e-02 eta: 19:09:00 time: 0.9190 data_time: 0.0678 memory: 19925 grad_norm: 3.9581 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9348 loss: 1.9348 2022/08/10 19:18:13 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 2.0000e-02 eta: 19:08:37 time: 0.8302 data_time: 0.0181 memory: 19925 grad_norm: 3.7651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8395 loss: 1.8395 2022/08/10 19:18:29 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 2.0000e-02 eta: 19:08:14 time: 0.8259 data_time: 0.0183 memory: 19925 grad_norm: 3.8219 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8651 loss: 1.8651 2022/08/10 19:18:46 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 2.0000e-02 eta: 19:07:50 time: 0.8284 data_time: 0.0184 memory: 19925 grad_norm: 3.8244 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9454 loss: 1.9454 2022/08/10 19:19:02 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 2.0000e-02 eta: 19:07:27 time: 0.8254 data_time: 0.0189 memory: 19925 grad_norm: 3.8527 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7777 loss: 1.7777 2022/08/10 19:19:19 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 2.0000e-02 eta: 19:07:03 time: 0.8234 data_time: 0.0174 memory: 19925 grad_norm: 3.9113 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8736 loss: 1.8736 2022/08/10 19:19:35 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 2.0000e-02 eta: 19:06:40 time: 0.8245 data_time: 0.0175 memory: 19925 grad_norm: 3.8112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8700 loss: 1.8700 2022/08/10 19:19:52 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 2.0000e-02 eta: 19:06:17 time: 0.8271 data_time: 0.0187 memory: 19925 grad_norm: 3.8509 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8561 loss: 1.8561 2022/08/10 19:20:09 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 2.0000e-02 eta: 19:05:54 time: 0.8326 data_time: 0.0185 memory: 19925 grad_norm: 3.8531 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1503 loss: 2.1503 2022/08/10 19:20:25 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 2.0000e-02 eta: 19:05:32 time: 0.8342 data_time: 0.0177 memory: 19925 grad_norm: 3.8797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7996 loss: 1.7996 2022/08/10 19:20:42 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 2.0000e-02 eta: 19:05:09 time: 0.8358 data_time: 0.0181 memory: 19925 grad_norm: 3.8189 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9645 loss: 1.9645 2022/08/10 19:20:59 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 2.0000e-02 eta: 19:04:46 time: 0.8274 data_time: 0.0168 memory: 19925 grad_norm: 3.8513 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9322 loss: 1.9322 2022/08/10 19:21:15 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 2.0000e-02 eta: 19:04:23 time: 0.8278 data_time: 0.0169 memory: 19925 grad_norm: 3.8252 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8026 loss: 1.8026 2022/08/10 19:21:32 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 2.0000e-02 eta: 19:04:00 time: 0.8268 data_time: 0.0175 memory: 19925 grad_norm: 3.8965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/08/10 19:21:48 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 2.0000e-02 eta: 19:03:38 time: 0.8391 data_time: 0.0295 memory: 19925 grad_norm: 3.8837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8293 loss: 1.8293 2022/08/10 19:22:05 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 2.0000e-02 eta: 19:03:15 time: 0.8251 data_time: 0.0180 memory: 19925 grad_norm: 3.9430 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9249 loss: 1.9249 2022/08/10 19:22:22 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 2.0000e-02 eta: 19:02:52 time: 0.8276 data_time: 0.0195 memory: 19925 grad_norm: 3.8826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8573 loss: 1.8573 2022/08/10 19:22:38 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 2.0000e-02 eta: 19:02:29 time: 0.8271 data_time: 0.0170 memory: 19925 grad_norm: 3.8438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7928 loss: 1.7928 2022/08/10 19:22:55 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 2.0000e-02 eta: 19:02:06 time: 0.8257 data_time: 0.0179 memory: 19925 grad_norm: 3.8795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9447 loss: 1.9447 2022/08/10 19:23:11 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 2.0000e-02 eta: 19:01:43 time: 0.8291 data_time: 0.0188 memory: 19925 grad_norm: 3.8931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9277 loss: 1.9277 2022/08/10 19:23:28 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 2.0000e-02 eta: 19:01:20 time: 0.8269 data_time: 0.0186 memory: 19925 grad_norm: 3.8170 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9128 loss: 1.9128 2022/08/10 19:23:44 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 2.0000e-02 eta: 19:00:57 time: 0.8262 data_time: 0.0167 memory: 19925 grad_norm: 3.8463 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0124 loss: 2.0124 2022/08/10 19:24:01 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 2.0000e-02 eta: 19:00:34 time: 0.8259 data_time: 0.0172 memory: 19925 grad_norm: 3.9568 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9266 loss: 1.9266 2022/08/10 19:24:17 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 2.0000e-02 eta: 19:00:11 time: 0.8295 data_time: 0.0159 memory: 19925 grad_norm: 3.8036 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8696 loss: 1.8696 2022/08/10 19:24:34 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 2.0000e-02 eta: 18:59:49 time: 0.8365 data_time: 0.0179 memory: 19925 grad_norm: 3.8217 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8720 loss: 1.8720 2022/08/10 19:24:51 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 2.0000e-02 eta: 18:59:27 time: 0.8334 data_time: 0.0234 memory: 19925 grad_norm: 3.8708 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9995 loss: 1.9995 2022/08/10 19:25:07 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 2.0000e-02 eta: 18:59:04 time: 0.8300 data_time: 0.0180 memory: 19925 grad_norm: 3.8321 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7294 loss: 1.7294 2022/08/10 19:25:24 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 2.0000e-02 eta: 18:58:42 time: 0.8314 data_time: 0.0193 memory: 19925 grad_norm: 3.7502 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9107 loss: 1.9107 2022/08/10 19:25:40 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 2.0000e-02 eta: 18:58:18 time: 0.8234 data_time: 0.0166 memory: 19925 grad_norm: 3.8409 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9490 loss: 1.9490 2022/08/10 19:25:57 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 2.0000e-02 eta: 18:57:55 time: 0.8239 data_time: 0.0166 memory: 19925 grad_norm: 3.9204 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8595 loss: 1.8595 2022/08/10 19:26:13 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 2.0000e-02 eta: 18:57:32 time: 0.8241 data_time: 0.0170 memory: 19925 grad_norm: 3.9536 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9512 loss: 1.9512 2022/08/10 19:26:30 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 2.0000e-02 eta: 18:57:09 time: 0.8241 data_time: 0.0186 memory: 19925 grad_norm: 3.9282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/08/10 19:26:46 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 2.0000e-02 eta: 18:56:46 time: 0.8240 data_time: 0.0195 memory: 19925 grad_norm: 3.8339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9600 loss: 1.9600 2022/08/10 19:27:03 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 2.0000e-02 eta: 18:56:23 time: 0.8299 data_time: 0.0190 memory: 19925 grad_norm: 3.9254 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8697 loss: 1.8697 2022/08/10 19:27:20 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 2.0000e-02 eta: 18:56:01 time: 0.8320 data_time: 0.0191 memory: 19925 grad_norm: 3.9247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0229 loss: 2.0229 2022/08/10 19:27:36 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 2.0000e-02 eta: 18:55:39 time: 0.8300 data_time: 0.0165 memory: 19925 grad_norm: 3.8542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/08/10 19:27:54 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 2.0000e-02 eta: 18:55:22 time: 0.8982 data_time: 0.0166 memory: 19925 grad_norm: 3.9245 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7105 loss: 1.7105 2022/08/10 19:28:11 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 2.0000e-02 eta: 18:54:59 time: 0.8262 data_time: 0.0173 memory: 19925 grad_norm: 3.8275 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8712 loss: 1.8712 2022/08/10 19:28:27 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 2.0000e-02 eta: 18:54:37 time: 0.8254 data_time: 0.0172 memory: 19925 grad_norm: 3.7357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8338 loss: 1.8338 2022/08/10 19:28:44 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 2.0000e-02 eta: 18:54:14 time: 0.8262 data_time: 0.0187 memory: 19925 grad_norm: 3.9151 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7971 loss: 1.7971 2022/08/10 19:29:00 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 2.0000e-02 eta: 18:53:51 time: 0.8257 data_time: 0.0177 memory: 19925 grad_norm: 3.8683 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9127 loss: 1.9127 2022/08/10 19:29:17 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 2.0000e-02 eta: 18:53:28 time: 0.8238 data_time: 0.0181 memory: 19925 grad_norm: 3.8796 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8905 loss: 1.8905 2022/08/10 19:29:33 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 2.0000e-02 eta: 18:53:05 time: 0.8244 data_time: 0.0185 memory: 19925 grad_norm: 3.8694 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9359 loss: 1.9359 2022/08/10 19:29:50 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 2.0000e-02 eta: 18:52:42 time: 0.8264 data_time: 0.0171 memory: 19925 grad_norm: 3.9121 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7783 loss: 1.7783 2022/08/10 19:30:05 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:30:05 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 2.0000e-02 eta: 18:52:42 time: 0.8057 data_time: 0.0162 memory: 19925 grad_norm: 4.0196 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8868 loss: 1.8868 2022/08/10 19:30:05 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/10 19:30:27 - mmengine - INFO - Epoch(val) [9][20/155] eta: 0:02:11 time: 0.9744 data_time: 0.7417 memory: 2570 2022/08/10 19:30:36 - mmengine - INFO - Epoch(val) [9][40/155] eta: 0:00:50 time: 0.4410 data_time: 0.2101 memory: 2570 2022/08/10 19:30:47 - mmengine - INFO - Epoch(val) [9][60/155] eta: 0:00:52 time: 0.5500 data_time: 0.3188 memory: 2570 2022/08/10 19:30:56 - mmengine - INFO - Epoch(val) [9][80/155] eta: 0:00:35 time: 0.4697 data_time: 0.2384 memory: 2570 2022/08/10 19:31:08 - mmengine - INFO - Epoch(val) [9][100/155] eta: 0:00:33 time: 0.6175 data_time: 0.3850 memory: 2570 2022/08/10 19:31:19 - mmengine - INFO - Epoch(val) [9][120/155] eta: 0:00:18 time: 0.5309 data_time: 0.2998 memory: 2570 2022/08/10 19:31:32 - mmengine - INFO - Epoch(val) [9][140/155] eta: 0:00:10 time: 0.6674 data_time: 0.4364 memory: 2570 2022/08/10 19:31:46 - mmengine - INFO - Epoch(val) [9][155/155] acc/top1: 0.5642 acc/top5: 0.8112 acc/mean1: 0.5639 2022/08/10 19:31:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/10 19:31:47 - mmengine - INFO - The best checkpoint with 0.5642 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/10 19:32:08 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 2.0000e-02 eta: 18:51:07 time: 1.0478 data_time: 0.2157 memory: 19925 grad_norm: 3.8100 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8169 loss: 1.8169 2022/08/10 19:32:25 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 2.0000e-02 eta: 18:50:44 time: 0.8269 data_time: 0.0178 memory: 19925 grad_norm: 3.7035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0045 loss: 2.0045 2022/08/10 19:32:41 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 2.0000e-02 eta: 18:50:21 time: 0.8222 data_time: 0.0174 memory: 19925 grad_norm: 3.7561 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6406 loss: 1.6406 2022/08/10 19:32:58 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 2.0000e-02 eta: 18:49:58 time: 0.8205 data_time: 0.0169 memory: 19925 grad_norm: 3.7199 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6186 loss: 1.6186 2022/08/10 19:33:05 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:33:14 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 2.0000e-02 eta: 18:49:36 time: 0.8307 data_time: 0.0165 memory: 19925 grad_norm: 3.7318 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7617 loss: 1.7617 2022/08/10 19:33:31 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 2.0000e-02 eta: 18:49:14 time: 0.8307 data_time: 0.0185 memory: 19925 grad_norm: 3.8358 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/08/10 19:33:47 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 2.0000e-02 eta: 18:48:51 time: 0.8279 data_time: 0.0169 memory: 19925 grad_norm: 3.8947 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8838 loss: 1.8838 2022/08/10 19:34:04 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 2.0000e-02 eta: 18:48:29 time: 0.8301 data_time: 0.0183 memory: 19925 grad_norm: 3.8263 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9227 loss: 1.9227 2022/08/10 19:34:21 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 2.0000e-02 eta: 18:48:07 time: 0.8284 data_time: 0.0154 memory: 19925 grad_norm: 3.7927 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9560 loss: 1.9560 2022/08/10 19:34:37 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 2.0000e-02 eta: 18:47:45 time: 0.8303 data_time: 0.0157 memory: 19925 grad_norm: 3.8724 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9186 loss: 1.9186 2022/08/10 19:34:54 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 2.0000e-02 eta: 18:47:22 time: 0.8261 data_time: 0.0166 memory: 19925 grad_norm: 3.7684 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6995 loss: 1.6995 2022/08/10 19:35:10 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 2.0000e-02 eta: 18:47:01 time: 0.8357 data_time: 0.0188 memory: 19925 grad_norm: 3.8471 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6620 loss: 1.6620 2022/08/10 19:35:27 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 2.0000e-02 eta: 18:46:38 time: 0.8259 data_time: 0.0181 memory: 19925 grad_norm: 3.9243 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8982 loss: 1.8982 2022/08/10 19:35:44 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 2.0000e-02 eta: 18:46:16 time: 0.8285 data_time: 0.0183 memory: 19925 grad_norm: 3.8435 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/08/10 19:36:00 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 2.0000e-02 eta: 18:45:54 time: 0.8267 data_time: 0.0176 memory: 19925 grad_norm: 3.8598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9190 loss: 1.9190 2022/08/10 19:36:17 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 2.0000e-02 eta: 18:45:31 time: 0.8253 data_time: 0.0180 memory: 19925 grad_norm: 3.7875 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.7560 loss: 1.7560 2022/08/10 19:36:33 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 2.0000e-02 eta: 18:45:09 time: 0.8290 data_time: 0.0181 memory: 19925 grad_norm: 3.9243 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8402 loss: 1.8402 2022/08/10 19:36:50 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 2.0000e-02 eta: 18:44:47 time: 0.8263 data_time: 0.0185 memory: 19925 grad_norm: 3.9320 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8776 loss: 1.8776 2022/08/10 19:37:06 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 2.0000e-02 eta: 18:44:24 time: 0.8301 data_time: 0.0173 memory: 19925 grad_norm: 3.8429 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8036 loss: 1.8036 2022/08/10 19:37:23 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 2.0000e-02 eta: 18:44:03 time: 0.8315 data_time: 0.0187 memory: 19925 grad_norm: 3.8960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9384 loss: 1.9384 2022/08/10 19:37:40 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 2.0000e-02 eta: 18:43:41 time: 0.8371 data_time: 0.0162 memory: 19925 grad_norm: 3.7307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9366 loss: 1.9366 2022/08/10 19:37:57 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 2.0000e-02 eta: 18:43:24 time: 0.8884 data_time: 0.0423 memory: 19925 grad_norm: 3.9672 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6194 loss: 1.6194 2022/08/10 19:38:14 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 2.0000e-02 eta: 18:43:03 time: 0.8350 data_time: 0.0243 memory: 19925 grad_norm: 3.9429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8130 loss: 1.8130 2022/08/10 19:38:31 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 2.0000e-02 eta: 18:42:41 time: 0.8292 data_time: 0.0182 memory: 19925 grad_norm: 3.9119 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9128 loss: 1.9128 2022/08/10 19:38:47 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 2.0000e-02 eta: 18:42:18 time: 0.8256 data_time: 0.0178 memory: 19925 grad_norm: 3.9893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9363 loss: 1.9363 2022/08/10 19:39:04 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 2.0000e-02 eta: 18:41:56 time: 0.8292 data_time: 0.0169 memory: 19925 grad_norm: 3.8203 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7961 loss: 1.7961 2022/08/10 19:39:20 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 2.0000e-02 eta: 18:41:34 time: 0.8296 data_time: 0.0181 memory: 19925 grad_norm: 3.9301 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8147 loss: 1.8147 2022/08/10 19:39:37 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 2.0000e-02 eta: 18:41:12 time: 0.8293 data_time: 0.0180 memory: 19925 grad_norm: 3.8196 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6272 loss: 1.6272 2022/08/10 19:39:54 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 2.0000e-02 eta: 18:40:51 time: 0.8321 data_time: 0.0162 memory: 19925 grad_norm: 3.7403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8077 loss: 1.8077 2022/08/10 19:40:10 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 2.0000e-02 eta: 18:40:29 time: 0.8317 data_time: 0.0181 memory: 19925 grad_norm: 3.8027 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9578 loss: 1.9578 2022/08/10 19:40:27 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 2.0000e-02 eta: 18:40:08 time: 0.8415 data_time: 0.0199 memory: 19925 grad_norm: 3.7863 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9461 loss: 1.9461 2022/08/10 19:40:44 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 2.0000e-02 eta: 18:39:46 time: 0.8332 data_time: 0.0175 memory: 19925 grad_norm: 3.7783 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6948 loss: 1.6948 2022/08/10 19:41:00 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 2.0000e-02 eta: 18:39:24 time: 0.8313 data_time: 0.0170 memory: 19925 grad_norm: 3.9361 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5675 loss: 1.5675 2022/08/10 19:41:17 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 2.0000e-02 eta: 18:39:02 time: 0.8282 data_time: 0.0157 memory: 19925 grad_norm: 3.8181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8680 loss: 1.8680 2022/08/10 19:41:34 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 2.0000e-02 eta: 18:38:41 time: 0.8295 data_time: 0.0171 memory: 19925 grad_norm: 3.7661 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7578 loss: 1.7578 2022/08/10 19:41:50 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 2.0000e-02 eta: 18:38:19 time: 0.8332 data_time: 0.0171 memory: 19925 grad_norm: 3.9317 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7938 loss: 1.7938 2022/08/10 19:42:07 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 2.0000e-02 eta: 18:37:57 time: 0.8310 data_time: 0.0178 memory: 19925 grad_norm: 3.8873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/08/10 19:42:24 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 2.0000e-02 eta: 18:37:36 time: 0.8370 data_time: 0.0161 memory: 19925 grad_norm: 3.9667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9137 loss: 1.9137 2022/08/10 19:42:40 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 2.0000e-02 eta: 18:37:15 time: 0.8420 data_time: 0.0179 memory: 19925 grad_norm: 3.8422 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8261 loss: 1.8261 2022/08/10 19:42:57 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 2.0000e-02 eta: 18:36:54 time: 0.8397 data_time: 0.0175 memory: 19925 grad_norm: 3.9827 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6980 loss: 1.6980 2022/08/10 19:43:14 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 2.0000e-02 eta: 18:36:32 time: 0.8301 data_time: 0.0165 memory: 19925 grad_norm: 3.9060 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7436 loss: 1.7436 2022/08/10 19:43:31 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 2.0000e-02 eta: 18:36:11 time: 0.8370 data_time: 0.0168 memory: 19925 grad_norm: 3.9274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9660 loss: 1.9660 2022/08/10 19:43:47 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 2.0000e-02 eta: 18:35:50 time: 0.8338 data_time: 0.0173 memory: 19925 grad_norm: 3.8469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8813 loss: 1.8813 2022/08/10 19:44:04 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 2.0000e-02 eta: 18:35:29 time: 0.8376 data_time: 0.0172 memory: 19925 grad_norm: 3.8335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0741 loss: 2.0741 2022/08/10 19:44:24 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 2.0000e-02 eta: 18:35:20 time: 0.9792 data_time: 0.0155 memory: 19925 grad_norm: 3.8662 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7461 loss: 1.7461 2022/08/10 19:44:41 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 2.0000e-02 eta: 18:35:01 time: 0.8696 data_time: 0.0556 memory: 19925 grad_norm: 3.8006 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9026 loss: 1.9026 2022/08/10 19:44:58 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 2.0000e-02 eta: 18:34:40 time: 0.8392 data_time: 0.0167 memory: 19925 grad_norm: 3.7592 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9015 loss: 1.9015 2022/08/10 19:45:15 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 2.0000e-02 eta: 18:34:20 time: 0.8419 data_time: 0.0196 memory: 19925 grad_norm: 3.7716 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7566 loss: 1.7566 2022/08/10 19:45:33 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 2.0000e-02 eta: 18:34:04 time: 0.8964 data_time: 0.0733 memory: 19925 grad_norm: 3.7530 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6928 loss: 1.6928 2022/08/10 19:45:49 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 2.0000e-02 eta: 18:33:42 time: 0.8320 data_time: 0.0156 memory: 19925 grad_norm: 3.9777 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8622 loss: 1.8622 2022/08/10 19:46:06 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 2.0000e-02 eta: 18:33:22 time: 0.8454 data_time: 0.0147 memory: 19925 grad_norm: 3.9053 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7202 loss: 1.7202 2022/08/10 19:46:23 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 2.0000e-02 eta: 18:33:01 time: 0.8367 data_time: 0.0186 memory: 19925 grad_norm: 3.8444 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.0150 loss: 2.0150 2022/08/10 19:46:40 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 2.0000e-02 eta: 18:32:39 time: 0.8358 data_time: 0.0153 memory: 19925 grad_norm: 3.7984 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9258 loss: 1.9258 2022/08/10 19:46:56 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 2.0000e-02 eta: 18:32:19 time: 0.8431 data_time: 0.0197 memory: 19925 grad_norm: 3.8241 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9316 loss: 1.9316 2022/08/10 19:47:04 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:47:13 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 2.0000e-02 eta: 18:31:57 time: 0.8329 data_time: 0.0196 memory: 19925 grad_norm: 3.8054 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7707 loss: 1.7707 2022/08/10 19:47:30 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 2.0000e-02 eta: 18:31:36 time: 0.8338 data_time: 0.0159 memory: 19925 grad_norm: 3.7809 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7779 loss: 1.7779 2022/08/10 19:47:47 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 2.0000e-02 eta: 18:31:19 time: 0.8826 data_time: 0.0149 memory: 19925 grad_norm: 3.9825 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8070 loss: 1.8070 2022/08/10 19:48:06 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 2.0000e-02 eta: 18:31:04 time: 0.9084 data_time: 0.0175 memory: 19925 grad_norm: 3.8471 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7865 loss: 1.7865 2022/08/10 19:48:23 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 2.0000e-02 eta: 18:30:43 time: 0.8441 data_time: 0.0172 memory: 19925 grad_norm: 3.9636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8406 loss: 1.8406 2022/08/10 19:48:39 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 2.0000e-02 eta: 18:30:23 time: 0.8424 data_time: 0.0177 memory: 19925 grad_norm: 3.8449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5801 loss: 1.5801 2022/08/10 19:48:56 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 2.0000e-02 eta: 18:30:02 time: 0.8449 data_time: 0.0152 memory: 19925 grad_norm: 3.8357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/08/10 19:49:13 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 2.0000e-02 eta: 18:29:41 time: 0.8361 data_time: 0.0173 memory: 19925 grad_norm: 3.9526 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7436 loss: 1.7436 2022/08/10 19:49:30 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 2.0000e-02 eta: 18:29:20 time: 0.8334 data_time: 0.0170 memory: 19925 grad_norm: 3.8225 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8018 loss: 1.8018 2022/08/10 19:49:46 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 2.0000e-02 eta: 18:28:58 time: 0.8318 data_time: 0.0178 memory: 19925 grad_norm: 3.9044 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7357 loss: 1.7357 2022/08/10 19:50:03 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 2.0000e-02 eta: 18:28:38 time: 0.8488 data_time: 0.0249 memory: 19925 grad_norm: 3.7934 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8599 loss: 1.8599 2022/08/10 19:50:20 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 2.0000e-02 eta: 18:28:19 time: 0.8532 data_time: 0.0251 memory: 19925 grad_norm: 3.8176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6672 loss: 1.6672 2022/08/10 19:50:37 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 2.0000e-02 eta: 18:27:57 time: 0.8302 data_time: 0.0161 memory: 19925 grad_norm: 3.7615 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4694 loss: 1.4694 2022/08/10 19:50:54 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 2.0000e-02 eta: 18:27:36 time: 0.8374 data_time: 0.0224 memory: 19925 grad_norm: 3.8729 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8817 loss: 1.8817 2022/08/10 19:51:11 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 2.0000e-02 eta: 18:27:15 time: 0.8395 data_time: 0.0157 memory: 19925 grad_norm: 3.8089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/08/10 19:51:28 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 2.0000e-02 eta: 18:26:57 time: 0.8699 data_time: 0.0173 memory: 19925 grad_norm: 3.7702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8315 loss: 1.8315 2022/08/10 19:51:45 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 2.0000e-02 eta: 18:26:37 time: 0.8425 data_time: 0.0194 memory: 19925 grad_norm: 3.8479 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6065 loss: 1.6065 2022/08/10 19:52:04 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 2.0000e-02 eta: 18:26:25 time: 0.9434 data_time: 0.0874 memory: 19925 grad_norm: 3.8579 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9461 loss: 1.9461 2022/08/10 19:52:20 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 2.0000e-02 eta: 18:26:04 time: 0.8408 data_time: 0.0221 memory: 19925 grad_norm: 3.8463 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8391 loss: 1.8391 2022/08/10 19:52:37 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 2.0000e-02 eta: 18:25:43 time: 0.8326 data_time: 0.0152 memory: 19925 grad_norm: 3.8056 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9779 loss: 1.9779 2022/08/10 19:52:54 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 2.0000e-02 eta: 18:25:22 time: 0.8453 data_time: 0.0239 memory: 19925 grad_norm: 3.8326 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7676 loss: 1.7676 2022/08/10 19:53:11 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 2.0000e-02 eta: 18:25:01 time: 0.8292 data_time: 0.0167 memory: 19925 grad_norm: 3.8309 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7510 loss: 1.7510 2022/08/10 19:53:27 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 2.0000e-02 eta: 18:24:40 time: 0.8342 data_time: 0.0186 memory: 19925 grad_norm: 3.7552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8310 loss: 1.8310 2022/08/10 19:53:44 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 2.0000e-02 eta: 18:24:18 time: 0.8324 data_time: 0.0207 memory: 19925 grad_norm: 3.8360 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6916 loss: 1.6916 2022/08/10 19:54:01 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 2.0000e-02 eta: 18:23:57 time: 0.8339 data_time: 0.0156 memory: 19925 grad_norm: 3.8667 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7374 loss: 1.7374 2022/08/10 19:54:17 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 2.0000e-02 eta: 18:23:36 time: 0.8285 data_time: 0.0159 memory: 19925 grad_norm: 3.9747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7716 loss: 1.7716 2022/08/10 19:54:34 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 2.0000e-02 eta: 18:23:15 time: 0.8378 data_time: 0.0176 memory: 19925 grad_norm: 3.8046 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7374 loss: 1.7374 2022/08/10 19:54:51 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 2.0000e-02 eta: 18:22:54 time: 0.8418 data_time: 0.0182 memory: 19925 grad_norm: 3.8221 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9398 loss: 1.9398 2022/08/10 19:55:08 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 2.0000e-02 eta: 18:22:37 time: 0.8782 data_time: 0.0546 memory: 19925 grad_norm: 3.8898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8680 loss: 1.8680 2022/08/10 19:55:26 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 2.0000e-02 eta: 18:22:19 time: 0.8730 data_time: 0.0170 memory: 19925 grad_norm: 3.8449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8051 loss: 1.8051 2022/08/10 19:55:45 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 2.0000e-02 eta: 18:22:09 time: 0.9699 data_time: 0.0165 memory: 19925 grad_norm: 3.7188 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7832 loss: 1.7832 2022/08/10 19:56:03 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 2.0000e-02 eta: 18:21:54 time: 0.9049 data_time: 0.0876 memory: 19925 grad_norm: 3.6867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/08/10 19:56:20 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 2.0000e-02 eta: 18:21:33 time: 0.8361 data_time: 0.0144 memory: 19925 grad_norm: 3.8388 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8762 loss: 1.8762 2022/08/10 19:56:37 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 2.0000e-02 eta: 18:21:15 time: 0.8711 data_time: 0.0208 memory: 19925 grad_norm: 3.8525 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8406 loss: 1.8406 2022/08/10 19:56:59 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 2.0000e-02 eta: 18:21:14 time: 1.0832 data_time: 0.2622 memory: 19925 grad_norm: 3.7610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5632 loss: 1.5632 2022/08/10 19:57:19 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 2.0000e-02 eta: 18:21:05 time: 0.9938 data_time: 0.1713 memory: 19925 grad_norm: 3.8466 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0266 loss: 2.0266 2022/08/10 19:57:37 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 2.0000e-02 eta: 18:20:51 time: 0.9133 data_time: 0.0603 memory: 19925 grad_norm: 3.6767 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8677 loss: 1.8677 2022/08/10 19:57:58 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 2.0000e-02 eta: 18:20:45 time: 1.0320 data_time: 0.0169 memory: 19925 grad_norm: 3.8274 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8034 loss: 1.8034 2022/08/10 19:58:15 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 2.0000e-02 eta: 18:20:26 time: 0.8564 data_time: 0.0326 memory: 19925 grad_norm: 3.8362 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7808 loss: 1.7808 2022/08/10 19:58:30 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 19:58:30 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 2.0000e-02 eta: 18:20:26 time: 0.8062 data_time: 0.0122 memory: 19925 grad_norm: 3.8553 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8569 loss: 1.8569 2022/08/10 19:58:43 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:01:24 time: 0.6246 data_time: 0.3913 memory: 2570 2022/08/10 19:58:58 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:01:28 time: 0.7730 data_time: 0.5440 memory: 2570 2022/08/10 19:59:15 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:01:18 time: 0.8302 data_time: 0.6007 memory: 2570 2022/08/10 19:59:31 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:59 time: 0.7891 data_time: 0.5580 memory: 2570 2022/08/10 19:59:46 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:41 time: 0.7549 data_time: 0.5260 memory: 2570 2022/08/10 20:00:11 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:43 time: 1.2434 data_time: 1.0140 memory: 2570 2022/08/10 20:00:20 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:07 time: 0.4811 data_time: 0.2539 memory: 2570 2022/08/10 20:00:38 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5731 acc/top5: 0.8152 acc/mean1: 0.5730 2022/08/10 20:00:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/10 20:00:39 - mmengine - INFO - The best checkpoint with 0.5731 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/10 20:01:05 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 2.0000e-02 eta: 18:19:17 time: 1.2819 data_time: 0.2475 memory: 19925 grad_norm: 3.8326 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7504 loss: 1.7504 2022/08/10 20:01:22 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 2.0000e-02 eta: 18:18:56 time: 0.8276 data_time: 0.0175 memory: 19925 grad_norm: 3.7802 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6391 loss: 1.6391 2022/08/10 20:01:38 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 2.0000e-02 eta: 18:18:34 time: 0.8280 data_time: 0.0174 memory: 19925 grad_norm: 3.8598 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7832 loss: 1.7832 2022/08/10 20:01:55 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 2.0000e-02 eta: 18:18:13 time: 0.8309 data_time: 0.0179 memory: 19925 grad_norm: 3.7559 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6633 loss: 1.6633 2022/08/10 20:02:11 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 2.0000e-02 eta: 18:17:51 time: 0.8268 data_time: 0.0161 memory: 19925 grad_norm: 3.8553 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8611 loss: 1.8611 2022/08/10 20:02:28 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 2.0000e-02 eta: 18:17:30 time: 0.8324 data_time: 0.0165 memory: 19925 grad_norm: 3.7246 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7273 loss: 1.7273 2022/08/10 20:02:45 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 2.0000e-02 eta: 18:17:09 time: 0.8312 data_time: 0.0187 memory: 19925 grad_norm: 3.7930 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7487 loss: 1.7487 2022/08/10 20:03:01 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 2.0000e-02 eta: 18:16:48 time: 0.8296 data_time: 0.0182 memory: 19925 grad_norm: 3.8095 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7937 loss: 1.7937 2022/08/10 20:03:18 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 2.0000e-02 eta: 18:16:26 time: 0.8306 data_time: 0.0163 memory: 19925 grad_norm: 3.8494 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6296 loss: 1.6296 2022/08/10 20:03:34 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 2.0000e-02 eta: 18:16:05 time: 0.8313 data_time: 0.0177 memory: 19925 grad_norm: 3.8984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6804 loss: 1.6804 2022/08/10 20:03:43 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 20:03:51 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 2.0000e-02 eta: 18:15:44 time: 0.8303 data_time: 0.0153 memory: 19925 grad_norm: 3.8798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5579 loss: 1.5579 2022/08/10 20:04:08 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 2.0000e-02 eta: 18:15:23 time: 0.8353 data_time: 0.0172 memory: 19925 grad_norm: 3.7632 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7911 loss: 1.7911 2022/08/10 20:04:25 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 2.0000e-02 eta: 18:15:02 time: 0.8367 data_time: 0.0161 memory: 19925 grad_norm: 3.7627 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5922 loss: 1.5922 2022/08/10 20:04:41 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 2.0000e-02 eta: 18:14:41 time: 0.8316 data_time: 0.0172 memory: 19925 grad_norm: 3.8551 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8041 loss: 1.8041 2022/08/10 20:04:58 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 2.0000e-02 eta: 18:14:20 time: 0.8341 data_time: 0.0197 memory: 19925 grad_norm: 3.9938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0412 loss: 2.0412 2022/08/10 20:05:15 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 2.0000e-02 eta: 18:14:00 time: 0.8352 data_time: 0.0186 memory: 19925 grad_norm: 3.8162 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6210 loss: 1.6210 2022/08/10 20:05:31 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 2.0000e-02 eta: 18:13:40 time: 0.8463 data_time: 0.0225 memory: 19925 grad_norm: 3.8407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6986 loss: 1.6986 2022/08/10 20:05:48 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 2.0000e-02 eta: 18:13:18 time: 0.8308 data_time: 0.0182 memory: 19925 grad_norm: 3.7511 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7300 loss: 1.7300 2022/08/10 20:06:05 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 2.0000e-02 eta: 18:12:58 time: 0.8343 data_time: 0.0194 memory: 19925 grad_norm: 3.7854 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9466 loss: 1.9466 2022/08/10 20:06:22 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 2.0000e-02 eta: 18:12:37 time: 0.8421 data_time: 0.0163 memory: 19925 grad_norm: 3.9097 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6418 loss: 1.6418 2022/08/10 20:06:38 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 2.0000e-02 eta: 18:12:16 time: 0.8321 data_time: 0.0154 memory: 19925 grad_norm: 3.9509 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0548 loss: 2.0548 2022/08/10 20:06:55 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 2.0000e-02 eta: 18:11:56 time: 0.8378 data_time: 0.0176 memory: 19925 grad_norm: 3.8688 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7841 loss: 1.7841 2022/08/10 20:07:12 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 2.0000e-02 eta: 18:11:35 time: 0.8315 data_time: 0.0173 memory: 19925 grad_norm: 3.8640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6644 loss: 1.6644 2022/08/10 20:07:28 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 2.0000e-02 eta: 18:11:13 time: 0.8299 data_time: 0.0169 memory: 19925 grad_norm: 3.7610 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8286 loss: 1.8286 2022/08/10 20:07:45 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 2.0000e-02 eta: 18:10:53 time: 0.8328 data_time: 0.0167 memory: 19925 grad_norm: 3.9077 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8763 loss: 1.8763 2022/08/10 20:08:04 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 2.0000e-02 eta: 18:10:40 time: 0.9426 data_time: 0.0161 memory: 19925 grad_norm: 3.7573 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/08/10 20:08:20 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 2.0000e-02 eta: 18:10:19 time: 0.8362 data_time: 0.0172 memory: 19925 grad_norm: 3.7900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/08/10 20:08:37 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 2.0000e-02 eta: 18:09:59 time: 0.8328 data_time: 0.0153 memory: 19925 grad_norm: 3.9141 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8046 loss: 1.8046 2022/08/10 20:08:54 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 2.0000e-02 eta: 18:09:37 time: 0.8298 data_time: 0.0160 memory: 19925 grad_norm: 3.8482 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9080 loss: 1.9080 2022/08/10 20:09:10 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 2.0000e-02 eta: 18:09:16 time: 0.8318 data_time: 0.0177 memory: 19925 grad_norm: 3.8211 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7577 loss: 1.7577 2022/08/10 20:09:27 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 2.0000e-02 eta: 18:08:55 time: 0.8292 data_time: 0.0161 memory: 19925 grad_norm: 3.8746 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9106 loss: 1.9106 2022/08/10 20:09:44 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 2.0000e-02 eta: 18:08:34 time: 0.8304 data_time: 0.0171 memory: 19925 grad_norm: 3.9204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8040 loss: 1.8040 2022/08/10 20:10:00 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 2.0000e-02 eta: 18:08:13 time: 0.8297 data_time: 0.0173 memory: 19925 grad_norm: 3.8621 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8912 loss: 1.8912 2022/08/10 20:10:17 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 2.0000e-02 eta: 18:07:53 time: 0.8423 data_time: 0.0227 memory: 19925 grad_norm: 3.8173 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/08/10 20:10:34 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 2.0000e-02 eta: 18:07:33 time: 0.8419 data_time: 0.0202 memory: 19925 grad_norm: 3.8317 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/08/10 20:10:51 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 2.0000e-02 eta: 18:07:12 time: 0.8315 data_time: 0.0156 memory: 19925 grad_norm: 3.8672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7965 loss: 1.7965 2022/08/10 20:11:07 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 2.0000e-02 eta: 18:06:51 time: 0.8312 data_time: 0.0169 memory: 19925 grad_norm: 3.8172 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7248 loss: 1.7248 2022/08/10 20:11:24 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 2.0000e-02 eta: 18:06:30 time: 0.8358 data_time: 0.0176 memory: 19925 grad_norm: 3.8763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7699 loss: 1.7699 2022/08/10 20:11:41 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 2.0000e-02 eta: 18:06:10 time: 0.8470 data_time: 0.0166 memory: 19925 grad_norm: 3.8848 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8594 loss: 1.8594 2022/08/10 20:11:57 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 2.0000e-02 eta: 18:05:50 time: 0.8331 data_time: 0.0186 memory: 19925 grad_norm: 3.8022 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7159 loss: 1.7159 2022/08/10 20:12:14 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 2.0000e-02 eta: 18:05:29 time: 0.8322 data_time: 0.0156 memory: 19925 grad_norm: 3.8090 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7039 loss: 1.7039 2022/08/10 20:12:31 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 2.0000e-02 eta: 18:05:08 time: 0.8315 data_time: 0.0168 memory: 19925 grad_norm: 3.8875 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7226 loss: 1.7226 2022/08/10 20:12:47 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 2.0000e-02 eta: 18:04:47 time: 0.8313 data_time: 0.0193 memory: 19925 grad_norm: 3.8427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6092 loss: 1.6092 2022/08/10 20:13:04 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 2.0000e-02 eta: 18:04:26 time: 0.8273 data_time: 0.0142 memory: 19925 grad_norm: 3.8270 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8114 loss: 1.8114 2022/08/10 20:13:21 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 2.0000e-02 eta: 18:04:05 time: 0.8306 data_time: 0.0182 memory: 19925 grad_norm: 3.8149 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7198 loss: 1.7198 2022/08/10 20:13:37 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 2.0000e-02 eta: 18:03:44 time: 0.8284 data_time: 0.0172 memory: 19925 grad_norm: 3.7250 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8146 loss: 1.8146 2022/08/10 20:13:54 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 2.0000e-02 eta: 18:03:23 time: 0.8314 data_time: 0.0166 memory: 19925 grad_norm: 3.8624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8068 loss: 1.8068 2022/08/10 20:14:10 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 2.0000e-02 eta: 18:03:02 time: 0.8326 data_time: 0.0174 memory: 19925 grad_norm: 3.6488 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9007 loss: 1.9007 2022/08/10 20:14:27 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 2.0000e-02 eta: 18:02:42 time: 0.8396 data_time: 0.0182 memory: 19925 grad_norm: 3.7663 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6133 loss: 1.6133 2022/08/10 20:14:44 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 2.0000e-02 eta: 18:02:21 time: 0.8356 data_time: 0.0163 memory: 19925 grad_norm: 3.8543 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8843 loss: 1.8843 2022/08/10 20:15:01 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 2.0000e-02 eta: 18:02:01 time: 0.8379 data_time: 0.0173 memory: 19925 grad_norm: 3.8765 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9012 loss: 1.9012 2022/08/10 20:15:20 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 2.0000e-02 eta: 18:01:51 time: 0.9764 data_time: 0.1503 memory: 19925 grad_norm: 3.8326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7549 loss: 1.7549 2022/08/10 20:15:37 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 2.0000e-02 eta: 18:01:31 time: 0.8449 data_time: 0.0195 memory: 19925 grad_norm: 3.7304 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7303 loss: 1.7303 2022/08/10 20:15:54 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 2.0000e-02 eta: 18:01:10 time: 0.8315 data_time: 0.0173 memory: 19925 grad_norm: 3.8081 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5843 loss: 1.5843 2022/08/10 20:16:11 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 2.0000e-02 eta: 18:00:50 time: 0.8417 data_time: 0.0152 memory: 19925 grad_norm: 3.7441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8307 loss: 1.8307 2022/08/10 20:16:28 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 2.0000e-02 eta: 18:00:31 time: 0.8489 data_time: 0.0184 memory: 19925 grad_norm: 3.8013 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/08/10 20:16:44 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 2.0000e-02 eta: 18:00:11 time: 0.8389 data_time: 0.0171 memory: 19925 grad_norm: 3.7501 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7288 loss: 1.7288 2022/08/10 20:17:01 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 2.0000e-02 eta: 17:59:50 time: 0.8362 data_time: 0.0166 memory: 19925 grad_norm: 3.7547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7750 loss: 1.7750 2022/08/10 20:17:18 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 2.0000e-02 eta: 17:59:30 time: 0.8436 data_time: 0.0164 memory: 19925 grad_norm: 3.7493 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/08/10 20:17:35 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 2.0000e-02 eta: 17:59:10 time: 0.8382 data_time: 0.0187 memory: 19925 grad_norm: 3.7578 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0483 loss: 2.0483 2022/08/10 20:17:43 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 20:17:53 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 2.0000e-02 eta: 17:58:55 time: 0.9022 data_time: 0.0167 memory: 19925 grad_norm: 3.8113 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/08/10 20:18:10 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 2.0000e-02 eta: 17:58:35 time: 0.8487 data_time: 0.0167 memory: 19925 grad_norm: 3.8518 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0401 loss: 2.0401 2022/08/10 20:18:26 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 2.0000e-02 eta: 17:58:15 time: 0.8383 data_time: 0.0207 memory: 19925 grad_norm: 3.8063 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6862 loss: 1.6862 2022/08/10 20:18:43 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 2.0000e-02 eta: 17:57:54 time: 0.8363 data_time: 0.0152 memory: 19925 grad_norm: 3.8946 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8332 loss: 1.8332 2022/08/10 20:19:00 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 2.0000e-02 eta: 17:57:34 time: 0.8400 data_time: 0.0176 memory: 19925 grad_norm: 3.8033 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9713 loss: 1.9713 2022/08/10 20:19:17 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 2.0000e-02 eta: 17:57:14 time: 0.8396 data_time: 0.0167 memory: 19925 grad_norm: 3.7891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8050 loss: 1.8050 2022/08/10 20:19:33 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 2.0000e-02 eta: 17:56:54 time: 0.8337 data_time: 0.0159 memory: 19925 grad_norm: 3.9472 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8853 loss: 1.8853 2022/08/10 20:19:50 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 2.0000e-02 eta: 17:56:34 time: 0.8406 data_time: 0.0185 memory: 19925 grad_norm: 3.7799 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/08/10 20:20:07 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 2.0000e-02 eta: 17:56:14 time: 0.8498 data_time: 0.0226 memory: 19925 grad_norm: 3.8014 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6421 loss: 1.6421 2022/08/10 20:20:24 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 2.0000e-02 eta: 17:55:54 time: 0.8406 data_time: 0.0213 memory: 19925 grad_norm: 3.8250 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6455 loss: 1.6455 2022/08/10 20:20:41 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 2.0000e-02 eta: 17:55:33 time: 0.8285 data_time: 0.0176 memory: 19925 grad_norm: 3.8758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/08/10 20:20:57 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 2.0000e-02 eta: 17:55:13 time: 0.8358 data_time: 0.0183 memory: 19925 grad_norm: 3.8509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6008 loss: 1.6008 2022/08/10 20:21:14 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 2.0000e-02 eta: 17:54:52 time: 0.8285 data_time: 0.0153 memory: 19925 grad_norm: 3.8035 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8832 loss: 1.8832 2022/08/10 20:21:31 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 2.0000e-02 eta: 17:54:32 time: 0.8345 data_time: 0.0168 memory: 19925 grad_norm: 3.7369 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7459 loss: 1.7459 2022/08/10 20:21:47 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 2.0000e-02 eta: 17:54:11 time: 0.8338 data_time: 0.0186 memory: 19925 grad_norm: 3.7395 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6826 loss: 1.6826 2022/08/10 20:22:04 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 2.0000e-02 eta: 17:53:50 time: 0.8296 data_time: 0.0155 memory: 19925 grad_norm: 3.8176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/08/10 20:22:20 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 2.0000e-02 eta: 17:53:29 time: 0.8261 data_time: 0.0149 memory: 19925 grad_norm: 3.8556 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7859 loss: 1.7859 2022/08/10 20:22:37 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 2.0000e-02 eta: 17:53:09 time: 0.8316 data_time: 0.0169 memory: 19925 grad_norm: 3.9513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0173 loss: 2.0173 2022/08/10 20:22:54 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 2.0000e-02 eta: 17:52:49 time: 0.8417 data_time: 0.0235 memory: 19925 grad_norm: 3.9144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8087 loss: 1.8087 2022/08/10 20:23:11 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 2.0000e-02 eta: 17:52:28 time: 0.8279 data_time: 0.0160 memory: 19925 grad_norm: 3.8356 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8019 loss: 1.8019 2022/08/10 20:23:27 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 2.0000e-02 eta: 17:52:07 time: 0.8346 data_time: 0.0179 memory: 19925 grad_norm: 3.6985 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8372 loss: 1.8372 2022/08/10 20:23:44 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 2.0000e-02 eta: 17:51:47 time: 0.8321 data_time: 0.0164 memory: 19925 grad_norm: 3.8620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9100 loss: 1.9100 2022/08/10 20:24:01 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 2.0000e-02 eta: 17:51:27 time: 0.8366 data_time: 0.0168 memory: 19925 grad_norm: 3.9384 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.7659 loss: 1.7659 2022/08/10 20:24:17 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 2.0000e-02 eta: 17:51:06 time: 0.8301 data_time: 0.0174 memory: 19925 grad_norm: 3.8094 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5968 loss: 1.5968 2022/08/10 20:24:34 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 2.0000e-02 eta: 17:50:46 time: 0.8408 data_time: 0.0186 memory: 19925 grad_norm: 3.8237 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8914 loss: 1.8914 2022/08/10 20:24:51 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 2.0000e-02 eta: 17:50:26 time: 0.8331 data_time: 0.0167 memory: 19925 grad_norm: 3.7374 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7049 loss: 1.7049 2022/08/10 20:25:07 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 2.0000e-02 eta: 17:50:05 time: 0.8260 data_time: 0.0159 memory: 19925 grad_norm: 3.8630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/08/10 20:25:25 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 2.0000e-02 eta: 17:49:47 time: 0.8711 data_time: 0.0414 memory: 19925 grad_norm: 3.7702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6325 loss: 1.6325 2022/08/10 20:25:41 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 2.0000e-02 eta: 17:49:26 time: 0.8331 data_time: 0.0169 memory: 19925 grad_norm: 3.8466 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6256 loss: 1.6256 2022/08/10 20:25:58 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 2.0000e-02 eta: 17:49:06 time: 0.8349 data_time: 0.0177 memory: 19925 grad_norm: 3.8968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9400 loss: 1.9400 2022/08/10 20:26:19 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 2.0000e-02 eta: 17:49:02 time: 1.0690 data_time: 0.2496 memory: 19925 grad_norm: 3.9122 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/08/10 20:26:36 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 2.0000e-02 eta: 17:48:42 time: 0.8307 data_time: 0.0128 memory: 19925 grad_norm: 3.7362 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9857 loss: 1.9857 2022/08/10 20:26:53 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 2.0000e-02 eta: 17:48:21 time: 0.8305 data_time: 0.0152 memory: 19925 grad_norm: 3.7190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5741 loss: 1.5741 2022/08/10 20:27:08 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 20:27:08 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 2.0000e-02 eta: 17:48:21 time: 0.8182 data_time: 0.0169 memory: 19925 grad_norm: 4.0425 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6890 loss: 1.6890 2022/08/10 20:27:23 - mmengine - INFO - Epoch(val) [11][20/155] eta: 0:01:37 time: 0.7226 data_time: 0.4914 memory: 2570 2022/08/10 20:27:34 - mmengine - INFO - Epoch(val) [11][40/155] eta: 0:01:06 time: 0.5747 data_time: 0.3458 memory: 2570 2022/08/10 20:27:56 - mmengine - INFO - Epoch(val) [11][60/155] eta: 0:01:42 time: 1.0788 data_time: 0.8473 memory: 2570 2022/08/10 20:28:13 - mmengine - INFO - Epoch(val) [11][80/155] eta: 0:01:04 time: 0.8570 data_time: 0.6269 memory: 2570 2022/08/10 20:28:27 - mmengine - INFO - Epoch(val) [11][100/155] eta: 0:00:40 time: 0.7280 data_time: 0.4992 memory: 2570 2022/08/10 20:28:39 - mmengine - INFO - Epoch(val) [11][120/155] eta: 0:00:20 time: 0.5901 data_time: 0.3604 memory: 2570 2022/08/10 20:28:51 - mmengine - INFO - Epoch(val) [11][140/155] eta: 0:00:08 time: 0.5863 data_time: 0.3569 memory: 2570 2022/08/10 20:29:06 - mmengine - INFO - Epoch(val) [11][155/155] acc/top1: 0.5773 acc/top5: 0.8223 acc/mean1: 0.5772 2022/08/10 20:29:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/10 20:29:08 - mmengine - INFO - The best checkpoint with 0.5773 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/10 20:29:30 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 2.0000e-02 eta: 17:47:05 time: 1.1078 data_time: 0.2095 memory: 19925 grad_norm: 3.8387 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7860 loss: 1.7860 2022/08/10 20:29:47 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 2.0000e-02 eta: 17:46:46 time: 0.8558 data_time: 0.0164 memory: 19925 grad_norm: 3.7805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6550 loss: 1.6550 2022/08/10 20:30:04 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 2.0000e-02 eta: 17:46:26 time: 0.8344 data_time: 0.0174 memory: 19925 grad_norm: 3.7237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7804 loss: 1.7804 2022/08/10 20:30:21 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 2.0000e-02 eta: 17:46:07 time: 0.8526 data_time: 0.0379 memory: 19925 grad_norm: 3.7598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/08/10 20:30:37 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 2.0000e-02 eta: 17:45:47 time: 0.8378 data_time: 0.0171 memory: 19925 grad_norm: 3.7899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6626 loss: 1.6626 2022/08/10 20:30:54 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 2.0000e-02 eta: 17:45:27 time: 0.8346 data_time: 0.0184 memory: 19925 grad_norm: 3.8856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6996 loss: 1.6996 2022/08/10 20:31:11 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 2.0000e-02 eta: 17:45:06 time: 0.8334 data_time: 0.0147 memory: 19925 grad_norm: 3.7800 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8469 loss: 1.8469 2022/08/10 20:31:28 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 2.0000e-02 eta: 17:44:46 time: 0.8353 data_time: 0.0178 memory: 19925 grad_norm: 3.8454 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4363 loss: 1.4363 2022/08/10 20:31:44 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 2.0000e-02 eta: 17:44:26 time: 0.8396 data_time: 0.0191 memory: 19925 grad_norm: 3.8409 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8125 loss: 1.8125 2022/08/10 20:32:01 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 2.0000e-02 eta: 17:44:06 time: 0.8278 data_time: 0.0162 memory: 19925 grad_norm: 3.7475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5747 loss: 1.5747 2022/08/10 20:32:18 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 2.0000e-02 eta: 17:43:46 time: 0.8372 data_time: 0.0174 memory: 19925 grad_norm: 3.8609 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7942 loss: 1.7942 2022/08/10 20:32:34 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 2.0000e-02 eta: 17:43:25 time: 0.8363 data_time: 0.0174 memory: 19925 grad_norm: 3.8492 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7069 loss: 1.7069 2022/08/10 20:32:51 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 2.0000e-02 eta: 17:43:06 time: 0.8385 data_time: 0.0155 memory: 19925 grad_norm: 3.8575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7312 loss: 1.7312 2022/08/10 20:33:08 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 2.0000e-02 eta: 17:42:46 time: 0.8406 data_time: 0.0172 memory: 19925 grad_norm: 3.8505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9324 loss: 1.9324 2022/08/10 20:33:25 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 2.0000e-02 eta: 17:42:27 time: 0.8494 data_time: 0.0224 memory: 19925 grad_norm: 3.6973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7058 loss: 1.7058 2022/08/10 20:33:42 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 2.0000e-02 eta: 17:42:07 time: 0.8361 data_time: 0.0154 memory: 19925 grad_norm: 3.8415 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8311 loss: 1.8311 2022/08/10 20:33:51 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 20:34:00 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 2.0000e-02 eta: 17:41:53 time: 0.9340 data_time: 0.0161 memory: 19925 grad_norm: 3.8721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6144 loss: 1.6144 2022/08/10 20:34:17 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 2.0000e-02 eta: 17:41:33 time: 0.8363 data_time: 0.0188 memory: 19925 grad_norm: 3.8983 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7571 loss: 1.7571 2022/08/10 20:34:34 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 2.0000e-02 eta: 17:41:14 time: 0.8480 data_time: 0.0170 memory: 19925 grad_norm: 3.7910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6925 loss: 1.6925 2022/08/10 20:34:51 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 2.0000e-02 eta: 17:40:55 time: 0.8465 data_time: 0.0174 memory: 19925 grad_norm: 3.7992 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/10 20:35:08 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 2.0000e-02 eta: 17:40:35 time: 0.8346 data_time: 0.0175 memory: 19925 grad_norm: 3.8484 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7051 loss: 1.7051 2022/08/10 20:35:25 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 2.0000e-02 eta: 17:40:16 time: 0.8635 data_time: 0.0435 memory: 19925 grad_norm: 3.7903 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6987 loss: 1.6987 2022/08/10 20:35:42 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 2.0000e-02 eta: 17:39:56 time: 0.8334 data_time: 0.0143 memory: 19925 grad_norm: 3.7982 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7233 loss: 1.7233 2022/08/10 20:35:58 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 2.0000e-02 eta: 17:39:36 time: 0.8385 data_time: 0.0182 memory: 19925 grad_norm: 3.8971 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7682 loss: 1.7682 2022/08/10 20:36:15 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 2.0000e-02 eta: 17:39:16 time: 0.8290 data_time: 0.0152 memory: 19925 grad_norm: 3.9125 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7492 loss: 1.7492 2022/08/10 20:36:32 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 2.0000e-02 eta: 17:38:56 time: 0.8364 data_time: 0.0169 memory: 19925 grad_norm: 3.7541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9359 loss: 1.9359 2022/08/10 20:36:48 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 2.0000e-02 eta: 17:38:36 time: 0.8350 data_time: 0.0174 memory: 19925 grad_norm: 3.7134 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8639 loss: 1.8639 2022/08/10 20:37:05 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 2.0000e-02 eta: 17:38:15 time: 0.8317 data_time: 0.0179 memory: 19925 grad_norm: 3.7777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4873 loss: 1.4873 2022/08/10 20:37:22 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 2.0000e-02 eta: 17:37:55 time: 0.8348 data_time: 0.0154 memory: 19925 grad_norm: 3.8360 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5978 loss: 1.5978 2022/08/10 20:37:39 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 2.0000e-02 eta: 17:37:35 time: 0.8384 data_time: 0.0173 memory: 19925 grad_norm: 3.7959 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6313 loss: 1.6313 2022/08/10 20:37:57 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 2.0000e-02 eta: 17:37:22 time: 0.9351 data_time: 0.0187 memory: 19925 grad_norm: 3.8779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8853 loss: 1.8853 2022/08/10 20:38:14 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 2.0000e-02 eta: 17:37:02 time: 0.8373 data_time: 0.0166 memory: 19925 grad_norm: 3.7698 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9216 loss: 1.9216 2022/08/10 20:38:31 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 2.0000e-02 eta: 17:36:42 time: 0.8368 data_time: 0.0177 memory: 19925 grad_norm: 3.7568 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5370 loss: 1.5370 2022/08/10 20:38:48 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 2.0000e-02 eta: 17:36:23 time: 0.8403 data_time: 0.0185 memory: 19925 grad_norm: 3.8023 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6147 loss: 1.6147 2022/08/10 20:39:05 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 2.0000e-02 eta: 17:36:05 time: 0.8685 data_time: 0.0437 memory: 19925 grad_norm: 3.9157 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7734 loss: 1.7734 2022/08/10 20:39:22 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 2.0000e-02 eta: 17:35:45 time: 0.8382 data_time: 0.0174 memory: 19925 grad_norm: 3.7811 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8256 loss: 1.8256 2022/08/10 20:39:38 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 2.0000e-02 eta: 17:35:25 time: 0.8349 data_time: 0.0164 memory: 19925 grad_norm: 3.8535 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7225 loss: 1.7225 2022/08/10 20:39:55 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 2.0000e-02 eta: 17:35:05 time: 0.8323 data_time: 0.0153 memory: 19925 grad_norm: 3.8459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5419 loss: 1.5419 2022/08/10 20:40:12 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 2.0000e-02 eta: 17:34:45 time: 0.8443 data_time: 0.0214 memory: 19925 grad_norm: 3.8919 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7270 loss: 1.7270 2022/08/10 20:40:29 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 2.0000e-02 eta: 17:34:27 time: 0.8582 data_time: 0.0201 memory: 19925 grad_norm: 3.7985 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7462 loss: 1.7462 2022/08/10 20:40:46 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 2.0000e-02 eta: 17:34:07 time: 0.8342 data_time: 0.0153 memory: 19925 grad_norm: 3.8202 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6674 loss: 1.6674 2022/08/10 20:41:03 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 2.0000e-02 eta: 17:33:47 time: 0.8424 data_time: 0.0171 memory: 19925 grad_norm: 3.7940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7894 loss: 1.7894 2022/08/10 20:41:19 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 2.0000e-02 eta: 17:33:27 time: 0.8315 data_time: 0.0176 memory: 19925 grad_norm: 3.8325 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6067 loss: 1.6067 2022/08/10 20:41:36 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 2.0000e-02 eta: 17:33:07 time: 0.8327 data_time: 0.0164 memory: 19925 grad_norm: 3.8536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6369 loss: 1.6369 2022/08/10 20:41:53 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 2.0000e-02 eta: 17:32:47 time: 0.8353 data_time: 0.0162 memory: 19925 grad_norm: 3.9173 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8421 loss: 1.8421 2022/08/10 20:42:09 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 2.0000e-02 eta: 17:32:27 time: 0.8341 data_time: 0.0164 memory: 19925 grad_norm: 3.8249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8985 loss: 1.8985 2022/08/10 20:42:26 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 2.0000e-02 eta: 17:32:07 time: 0.8361 data_time: 0.0169 memory: 19925 grad_norm: 3.8294 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7444 loss: 1.7444 2022/08/10 20:42:43 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 2.0000e-02 eta: 17:31:48 time: 0.8444 data_time: 0.0166 memory: 19925 grad_norm: 3.8973 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7586 loss: 1.7586 2022/08/10 20:43:00 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 2.0000e-02 eta: 17:31:28 time: 0.8308 data_time: 0.0167 memory: 19925 grad_norm: 3.7764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6905 loss: 1.6905 2022/08/10 20:43:17 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 2.0000e-02 eta: 17:31:10 time: 0.8700 data_time: 0.0162 memory: 19925 grad_norm: 3.8440 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7484 loss: 1.7484 2022/08/10 20:43:34 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 2.0000e-02 eta: 17:30:50 time: 0.8401 data_time: 0.0223 memory: 19925 grad_norm: 3.8228 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7243 loss: 1.7243 2022/08/10 20:43:50 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 2.0000e-02 eta: 17:30:30 time: 0.8356 data_time: 0.0174 memory: 19925 grad_norm: 3.7586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0631 loss: 2.0631 2022/08/10 20:44:07 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 2.0000e-02 eta: 17:30:10 time: 0.8324 data_time: 0.0177 memory: 19925 grad_norm: 3.8146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6676 loss: 1.6676 2022/08/10 20:44:24 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 2.0000e-02 eta: 17:29:50 time: 0.8341 data_time: 0.0169 memory: 19925 grad_norm: 3.8927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7668 loss: 1.7668 2022/08/10 20:44:40 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 2.0000e-02 eta: 17:29:30 time: 0.8349 data_time: 0.0174 memory: 19925 grad_norm: 3.9010 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8284 loss: 1.8284 2022/08/10 20:44:57 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 2.0000e-02 eta: 17:29:10 time: 0.8325 data_time: 0.0175 memory: 19925 grad_norm: 3.7453 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8200 loss: 1.8200 2022/08/10 20:45:14 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 2.0000e-02 eta: 17:28:51 time: 0.8391 data_time: 0.0183 memory: 19925 grad_norm: 3.8058 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6995 loss: 1.6995 2022/08/10 20:45:31 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 2.0000e-02 eta: 17:28:31 time: 0.8369 data_time: 0.0176 memory: 19925 grad_norm: 3.7662 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6443 loss: 1.6443 2022/08/10 20:45:47 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 2.0000e-02 eta: 17:28:11 time: 0.8380 data_time: 0.0158 memory: 19925 grad_norm: 3.7573 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9102 loss: 1.9102 2022/08/10 20:46:04 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 2.0000e-02 eta: 17:27:51 time: 0.8333 data_time: 0.0161 memory: 19925 grad_norm: 3.8810 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9225 loss: 1.9225 2022/08/10 20:46:21 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 2.0000e-02 eta: 17:27:32 time: 0.8400 data_time: 0.0184 memory: 19925 grad_norm: 3.7152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8847 loss: 1.8847 2022/08/10 20:46:38 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 2.0000e-02 eta: 17:27:12 time: 0.8339 data_time: 0.0203 memory: 19925 grad_norm: 3.8701 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6555 loss: 1.6555 2022/08/10 20:46:54 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 2.0000e-02 eta: 17:26:52 time: 0.8428 data_time: 0.0150 memory: 19925 grad_norm: 3.7429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7532 loss: 1.7532 2022/08/10 20:47:12 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 2.0000e-02 eta: 17:26:33 time: 0.8470 data_time: 0.0168 memory: 19925 grad_norm: 3.8857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7577 loss: 1.7577 2022/08/10 20:47:28 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 2.0000e-02 eta: 17:26:14 time: 0.8426 data_time: 0.0216 memory: 19925 grad_norm: 3.6912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7659 loss: 1.7659 2022/08/10 20:47:45 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 2.0000e-02 eta: 17:25:54 time: 0.8336 data_time: 0.0175 memory: 19925 grad_norm: 3.7862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/08/10 20:47:56 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 20:48:04 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 2.0000e-02 eta: 17:25:40 time: 0.9313 data_time: 0.0168 memory: 19925 grad_norm: 3.9201 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7023 loss: 1.7023 2022/08/10 20:48:21 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 2.0000e-02 eta: 17:25:24 time: 0.8913 data_time: 0.0175 memory: 19925 grad_norm: 3.8238 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7157 loss: 1.7157 2022/08/10 20:48:38 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 2.0000e-02 eta: 17:25:04 time: 0.8338 data_time: 0.0183 memory: 19925 grad_norm: 3.8264 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6491 loss: 1.6491 2022/08/10 20:48:55 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 2.0000e-02 eta: 17:24:44 time: 0.8377 data_time: 0.0166 memory: 19925 grad_norm: 3.8449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6683 loss: 1.6683 2022/08/10 20:49:12 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 2.0000e-02 eta: 17:24:24 time: 0.8341 data_time: 0.0166 memory: 19925 grad_norm: 3.8019 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7184 loss: 1.7184 2022/08/10 20:49:28 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 2.0000e-02 eta: 17:24:04 time: 0.8324 data_time: 0.0159 memory: 19925 grad_norm: 3.8308 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6563 loss: 1.6563 2022/08/10 20:49:45 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 2.0000e-02 eta: 17:23:45 time: 0.8350 data_time: 0.0172 memory: 19925 grad_norm: 3.7244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9060 loss: 1.9060 2022/08/10 20:50:02 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 2.0000e-02 eta: 17:23:25 time: 0.8352 data_time: 0.0174 memory: 19925 grad_norm: 3.7330 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7528 loss: 1.7528 2022/08/10 20:50:19 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 2.0000e-02 eta: 17:23:07 time: 0.8597 data_time: 0.0240 memory: 19925 grad_norm: 3.8047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/08/10 20:50:36 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 2.0000e-02 eta: 17:22:47 time: 0.8461 data_time: 0.0189 memory: 19925 grad_norm: 3.8375 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7732 loss: 1.7732 2022/08/10 20:50:52 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 2.0000e-02 eta: 17:22:28 time: 0.8334 data_time: 0.0162 memory: 19925 grad_norm: 3.7853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7673 loss: 1.7673 2022/08/10 20:51:09 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 2.0000e-02 eta: 17:22:08 time: 0.8378 data_time: 0.0172 memory: 19925 grad_norm: 3.8635 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8380 loss: 1.8380 2022/08/10 20:51:26 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 2.0000e-02 eta: 17:21:48 time: 0.8325 data_time: 0.0174 memory: 19925 grad_norm: 3.7505 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9028 loss: 1.9028 2022/08/10 20:51:43 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 2.0000e-02 eta: 17:21:28 time: 0.8366 data_time: 0.0167 memory: 19925 grad_norm: 3.6984 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7782 loss: 1.7782 2022/08/10 20:51:59 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 2.0000e-02 eta: 17:21:08 time: 0.8350 data_time: 0.0171 memory: 19925 grad_norm: 3.7269 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9579 loss: 1.9579 2022/08/10 20:52:16 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 2.0000e-02 eta: 17:20:49 time: 0.8363 data_time: 0.0159 memory: 19925 grad_norm: 3.7297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5096 loss: 1.5096 2022/08/10 20:52:33 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 2.0000e-02 eta: 17:20:29 time: 0.8358 data_time: 0.0169 memory: 19925 grad_norm: 3.7624 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9406 loss: 1.9406 2022/08/10 20:52:49 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 2.0000e-02 eta: 17:20:09 time: 0.8312 data_time: 0.0187 memory: 19925 grad_norm: 3.7587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0031 loss: 2.0031 2022/08/10 20:53:06 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 2.0000e-02 eta: 17:19:49 time: 0.8362 data_time: 0.0159 memory: 19925 grad_norm: 3.8199 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7850 loss: 1.7850 2022/08/10 20:53:23 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 2.0000e-02 eta: 17:19:29 time: 0.8321 data_time: 0.0169 memory: 19925 grad_norm: 3.7529 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9517 loss: 1.9517 2022/08/10 20:53:39 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 2.0000e-02 eta: 17:19:10 time: 0.8357 data_time: 0.0180 memory: 19925 grad_norm: 3.7427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6310 loss: 1.6310 2022/08/10 20:53:56 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 2.0000e-02 eta: 17:18:50 time: 0.8324 data_time: 0.0168 memory: 19925 grad_norm: 3.8122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7413 loss: 1.7413 2022/08/10 20:54:13 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 2.0000e-02 eta: 17:18:30 time: 0.8371 data_time: 0.0183 memory: 19925 grad_norm: 3.8568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7085 loss: 1.7085 2022/08/10 20:54:30 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 2.0000e-02 eta: 17:18:11 time: 0.8396 data_time: 0.0164 memory: 19925 grad_norm: 3.9038 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9008 loss: 1.9008 2022/08/10 20:54:46 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 2.0000e-02 eta: 17:17:51 time: 0.8308 data_time: 0.0166 memory: 19925 grad_norm: 3.7178 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/08/10 20:55:03 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 2.0000e-02 eta: 17:17:31 time: 0.8459 data_time: 0.0173 memory: 19925 grad_norm: 3.7961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9126 loss: 1.9126 2022/08/10 20:55:20 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 2.0000e-02 eta: 17:17:12 time: 0.8369 data_time: 0.0252 memory: 19925 grad_norm: 3.6864 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5851 loss: 1.5851 2022/08/10 20:55:35 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 20:55:35 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 2.0000e-02 eta: 17:17:12 time: 0.8156 data_time: 0.0153 memory: 19925 grad_norm: 3.8348 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.5867 loss: 1.5867 2022/08/10 20:55:35 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/10 20:55:54 - mmengine - INFO - Epoch(val) [12][20/155] eta: 0:01:51 time: 0.8234 data_time: 0.5839 memory: 2570 2022/08/10 20:56:03 - mmengine - INFO - Epoch(val) [12][40/155] eta: 0:00:50 time: 0.4396 data_time: 0.2087 memory: 2570 2022/08/10 20:56:16 - mmengine - INFO - Epoch(val) [12][60/155] eta: 0:01:03 time: 0.6651 data_time: 0.4344 memory: 2570 2022/08/10 20:56:27 - mmengine - INFO - Epoch(val) [12][80/155] eta: 0:00:40 time: 0.5440 data_time: 0.3150 memory: 2570 2022/08/10 20:56:38 - mmengine - INFO - Epoch(val) [12][100/155] eta: 0:00:30 time: 0.5610 data_time: 0.3294 memory: 2570 2022/08/10 20:56:51 - mmengine - INFO - Epoch(val) [12][120/155] eta: 0:00:21 time: 0.6278 data_time: 0.3982 memory: 2570 2022/08/10 20:57:05 - mmengine - INFO - Epoch(val) [12][140/155] eta: 0:00:10 time: 0.7023 data_time: 0.4739 memory: 2570 2022/08/10 20:57:23 - mmengine - INFO - Epoch(val) [12][155/155] acc/top1: 0.5904 acc/top5: 0.8270 acc/mean1: 0.5902 2022/08/10 20:57:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/10 20:57:24 - mmengine - INFO - The best checkpoint with 0.5904 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/08/10 20:57:46 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 2.0000e-02 eta: 17:15:59 time: 1.0768 data_time: 0.2194 memory: 19925 grad_norm: 3.7670 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6420 loss: 1.6420 2022/08/10 20:58:03 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 2.0000e-02 eta: 17:15:42 time: 0.8858 data_time: 0.0176 memory: 19925 grad_norm: 3.8271 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5991 loss: 1.5991 2022/08/10 20:58:20 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 2.0000e-02 eta: 17:15:22 time: 0.8290 data_time: 0.0174 memory: 19925 grad_norm: 3.7549 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7547 loss: 1.7547 2022/08/10 20:58:37 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 2.0000e-02 eta: 17:15:02 time: 0.8312 data_time: 0.0155 memory: 19925 grad_norm: 3.8850 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8018 loss: 1.8018 2022/08/10 20:58:53 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 2.0000e-02 eta: 17:14:43 time: 0.8461 data_time: 0.0172 memory: 19925 grad_norm: 3.9083 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5303 loss: 1.5303 2022/08/10 20:59:10 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 2.0000e-02 eta: 17:14:23 time: 0.8296 data_time: 0.0166 memory: 19925 grad_norm: 3.8111 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5524 loss: 1.5524 2022/08/10 20:59:27 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 2.0000e-02 eta: 17:14:04 time: 0.8373 data_time: 0.0152 memory: 19925 grad_norm: 3.7976 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6634 loss: 1.6634 2022/08/10 20:59:44 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 2.0000e-02 eta: 17:13:44 time: 0.8411 data_time: 0.0173 memory: 19925 grad_norm: 3.8470 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4756 loss: 1.4756 2022/08/10 21:00:01 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 2.0000e-02 eta: 17:13:26 time: 0.8601 data_time: 0.0177 memory: 19925 grad_norm: 3.8876 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7080 loss: 1.7080 2022/08/10 21:00:18 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 2.0000e-02 eta: 17:13:07 time: 0.8462 data_time: 0.0158 memory: 19925 grad_norm: 3.9082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5805 loss: 1.5805 2022/08/10 21:00:35 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 2.0000e-02 eta: 17:12:48 time: 0.8472 data_time: 0.0191 memory: 19925 grad_norm: 3.8030 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7388 loss: 1.7388 2022/08/10 21:00:51 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 2.0000e-02 eta: 17:12:29 time: 0.8312 data_time: 0.0161 memory: 19925 grad_norm: 3.8902 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7503 loss: 1.7503 2022/08/10 21:01:08 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 2.0000e-02 eta: 17:12:09 time: 0.8383 data_time: 0.0175 memory: 19925 grad_norm: 3.7532 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9798 loss: 1.9798 2022/08/10 21:01:25 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 2.0000e-02 eta: 17:11:50 time: 0.8342 data_time: 0.0155 memory: 19925 grad_norm: 3.7834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6871 loss: 1.6871 2022/08/10 21:01:41 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 2.0000e-02 eta: 17:11:30 time: 0.8327 data_time: 0.0172 memory: 19925 grad_norm: 3.8582 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5177 loss: 1.5177 2022/08/10 21:01:58 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 2.0000e-02 eta: 17:11:10 time: 0.8308 data_time: 0.0165 memory: 19925 grad_norm: 3.7829 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5640 loss: 1.5640 2022/08/10 21:02:15 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 2.0000e-02 eta: 17:10:50 time: 0.8324 data_time: 0.0177 memory: 19925 grad_norm: 3.6917 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6288 loss: 1.6288 2022/08/10 21:02:31 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 2.0000e-02 eta: 17:10:30 time: 0.8348 data_time: 0.0190 memory: 19925 grad_norm: 3.8702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6376 loss: 1.6376 2022/08/10 21:02:48 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 2.0000e-02 eta: 17:10:11 time: 0.8356 data_time: 0.0165 memory: 19925 grad_norm: 3.8331 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6812 loss: 1.6812 2022/08/10 21:03:05 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 2.0000e-02 eta: 17:09:51 time: 0.8335 data_time: 0.0171 memory: 19925 grad_norm: 3.7182 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5081 loss: 1.5081 2022/08/10 21:03:21 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 2.0000e-02 eta: 17:09:31 time: 0.8318 data_time: 0.0166 memory: 19925 grad_norm: 3.7703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/08/10 21:03:38 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 2.0000e-02 eta: 17:09:12 time: 0.8334 data_time: 0.0161 memory: 19925 grad_norm: 3.8708 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8173 loss: 1.8173 2022/08/10 21:03:48 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 21:03:55 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 2.0000e-02 eta: 17:08:52 time: 0.8356 data_time: 0.0166 memory: 19925 grad_norm: 3.8714 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7691 loss: 1.7691 2022/08/10 21:04:12 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 2.0000e-02 eta: 17:08:33 time: 0.8363 data_time: 0.0184 memory: 19925 grad_norm: 3.8306 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4782 loss: 1.4782 2022/08/10 21:04:28 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 2.0000e-02 eta: 17:08:13 time: 0.8355 data_time: 0.0184 memory: 19925 grad_norm: 3.8917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7967 loss: 1.7967 2022/08/10 21:04:45 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 2.0000e-02 eta: 17:07:53 time: 0.8299 data_time: 0.0160 memory: 19925 grad_norm: 3.9601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5730 loss: 1.5730 2022/08/10 21:05:02 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 2.0000e-02 eta: 17:07:34 time: 0.8384 data_time: 0.0186 memory: 19925 grad_norm: 3.9391 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6314 loss: 1.6314 2022/08/10 21:05:19 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 2.0000e-02 eta: 17:07:16 time: 0.8545 data_time: 0.0335 memory: 19925 grad_norm: 3.9632 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7235 loss: 1.7235 2022/08/10 21:05:35 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 2.0000e-02 eta: 17:06:56 time: 0.8363 data_time: 0.0181 memory: 19925 grad_norm: 3.7684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/08/10 21:05:52 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 2.0000e-02 eta: 17:06:37 time: 0.8329 data_time: 0.0168 memory: 19925 grad_norm: 3.7968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6317 loss: 1.6317 2022/08/10 21:06:09 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 2.0000e-02 eta: 17:06:17 time: 0.8294 data_time: 0.0182 memory: 19925 grad_norm: 3.8509 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9697 loss: 1.9697 2022/08/10 21:06:25 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 2.0000e-02 eta: 17:05:57 time: 0.8273 data_time: 0.0137 memory: 19925 grad_norm: 3.7359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4237 loss: 1.4237 2022/08/10 21:06:42 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 2.0000e-02 eta: 17:05:37 time: 0.8342 data_time: 0.0175 memory: 19925 grad_norm: 3.9184 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6172 loss: 1.6172 2022/08/10 21:06:59 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 2.0000e-02 eta: 17:05:17 time: 0.8284 data_time: 0.0162 memory: 19925 grad_norm: 3.9686 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8046 loss: 1.8046 2022/08/10 21:07:15 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 2.0000e-02 eta: 17:04:58 time: 0.8410 data_time: 0.0247 memory: 19925 grad_norm: 3.8794 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8448 loss: 1.8448 2022/08/10 21:07:32 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 2.0000e-02 eta: 17:04:38 time: 0.8290 data_time: 0.0158 memory: 19925 grad_norm: 3.8198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7602 loss: 1.7602 2022/08/10 21:07:49 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 2.0000e-02 eta: 17:04:19 time: 0.8385 data_time: 0.0172 memory: 19925 grad_norm: 3.8578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6606 loss: 1.6606 2022/08/10 21:08:07 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 2.0000e-02 eta: 17:04:04 time: 0.9115 data_time: 0.0786 memory: 19925 grad_norm: 3.8977 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7639 loss: 1.7639 2022/08/10 21:08:25 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 2.0000e-02 eta: 17:03:48 time: 0.8892 data_time: 0.0247 memory: 19925 grad_norm: 3.7321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8474 loss: 1.8474 2022/08/10 21:08:41 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 2.0000e-02 eta: 17:03:28 time: 0.8323 data_time: 0.0167 memory: 19925 grad_norm: 3.8139 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7103 loss: 1.7103 2022/08/10 21:08:58 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 2.0000e-02 eta: 17:03:09 time: 0.8352 data_time: 0.0201 memory: 19925 grad_norm: 3.9214 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5373 loss: 1.5373 2022/08/10 21:09:15 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 2.0000e-02 eta: 17:02:49 time: 0.8345 data_time: 0.0145 memory: 19925 grad_norm: 3.8126 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9752 loss: 1.9752 2022/08/10 21:09:38 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 2.0000e-02 eta: 17:02:50 time: 1.1732 data_time: 0.0186 memory: 19925 grad_norm: 3.6739 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4869 loss: 1.4869 2022/08/10 21:09:55 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 2.0000e-02 eta: 17:02:31 time: 0.8365 data_time: 0.0148 memory: 19925 grad_norm: 3.7506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6655 loss: 1.6655 2022/08/10 21:10:12 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 2.0000e-02 eta: 17:02:12 time: 0.8433 data_time: 0.0226 memory: 19925 grad_norm: 3.8321 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6727 loss: 1.6727 2022/08/10 21:10:29 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 2.0000e-02 eta: 17:01:53 time: 0.8540 data_time: 0.0176 memory: 19925 grad_norm: 3.8522 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5833 loss: 1.5833 2022/08/10 21:10:46 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 2.0000e-02 eta: 17:01:34 time: 0.8444 data_time: 0.0196 memory: 19925 grad_norm: 3.7140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/08/10 21:11:03 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 2.0000e-02 eta: 17:01:15 time: 0.8385 data_time: 0.0157 memory: 19925 grad_norm: 3.7427 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/08/10 21:11:19 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 2.0000e-02 eta: 17:00:56 time: 0.8402 data_time: 0.0184 memory: 19925 grad_norm: 3.8646 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7581 loss: 1.7581 2022/08/10 21:11:36 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 2.0000e-02 eta: 17:00:37 time: 0.8508 data_time: 0.0187 memory: 19925 grad_norm: 3.9344 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5846 loss: 1.5846 2022/08/10 21:11:53 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 2.0000e-02 eta: 17:00:18 time: 0.8373 data_time: 0.0166 memory: 19925 grad_norm: 3.7813 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6505 loss: 1.6505 2022/08/10 21:12:10 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 2.0000e-02 eta: 16:59:59 time: 0.8377 data_time: 0.0186 memory: 19925 grad_norm: 3.8977 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/10 21:12:27 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 2.0000e-02 eta: 16:59:40 time: 0.8467 data_time: 0.0169 memory: 19925 grad_norm: 3.8162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7709 loss: 1.7709 2022/08/10 21:12:44 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 2.0000e-02 eta: 16:59:21 time: 0.8497 data_time: 0.0165 memory: 19925 grad_norm: 3.7920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6683 loss: 1.6683 2022/08/10 21:13:01 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 2.0000e-02 eta: 16:59:03 time: 0.8475 data_time: 0.0197 memory: 19925 grad_norm: 3.8517 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9042 loss: 1.9042 2022/08/10 21:13:18 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 2.0000e-02 eta: 16:58:43 time: 0.8413 data_time: 0.0148 memory: 19925 grad_norm: 3.7923 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7367 loss: 1.7367 2022/08/10 21:13:35 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 2.0000e-02 eta: 16:58:24 time: 0.8434 data_time: 0.0173 memory: 19925 grad_norm: 3.7309 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5616 loss: 1.5616 2022/08/10 21:13:59 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 2.0000e-02 eta: 16:58:27 time: 1.2130 data_time: 0.0157 memory: 19925 grad_norm: 3.7874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5631 loss: 1.5631 2022/08/10 21:14:15 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 2.0000e-02 eta: 16:58:08 time: 0.8302 data_time: 0.0189 memory: 19925 grad_norm: 3.9085 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7076 loss: 1.7076 2022/08/10 21:14:32 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 2.0000e-02 eta: 16:57:48 time: 0.8340 data_time: 0.0172 memory: 19925 grad_norm: 3.9655 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7313 loss: 1.7313 2022/08/10 21:14:51 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 2.0000e-02 eta: 16:57:34 time: 0.9215 data_time: 0.1066 memory: 19925 grad_norm: 3.8344 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6120 loss: 1.6120 2022/08/10 21:15:09 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 2.0000e-02 eta: 16:57:19 time: 0.9158 data_time: 0.0955 memory: 19925 grad_norm: 3.7231 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5582 loss: 1.5582 2022/08/10 21:15:25 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 2.0000e-02 eta: 16:56:59 time: 0.8288 data_time: 0.0140 memory: 19925 grad_norm: 3.8302 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6684 loss: 1.6684 2022/08/10 21:15:42 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 2.0000e-02 eta: 16:56:40 time: 0.8401 data_time: 0.0172 memory: 19925 grad_norm: 3.7593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4836 loss: 1.4836 2022/08/10 21:15:59 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 2.0000e-02 eta: 16:56:21 time: 0.8396 data_time: 0.0177 memory: 19925 grad_norm: 3.6763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/08/10 21:16:19 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 2.0000e-02 eta: 16:56:11 time: 0.9912 data_time: 0.0146 memory: 19925 grad_norm: 3.8141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6044 loss: 1.6044 2022/08/10 21:16:36 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 2.0000e-02 eta: 16:55:54 time: 0.8811 data_time: 0.0205 memory: 19925 grad_norm: 3.9194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6492 loss: 1.6492 2022/08/10 21:16:56 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 2.0000e-02 eta: 16:55:41 time: 0.9537 data_time: 0.0150 memory: 19925 grad_norm: 3.8244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7565 loss: 1.7565 2022/08/10 21:17:13 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 2.0000e-02 eta: 16:55:23 time: 0.8490 data_time: 0.0174 memory: 19925 grad_norm: 3.7979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6488 loss: 1.6488 2022/08/10 21:17:29 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 2.0000e-02 eta: 16:55:03 time: 0.8334 data_time: 0.0163 memory: 19925 grad_norm: 3.8415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/08/10 21:17:46 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 2.0000e-02 eta: 16:54:44 time: 0.8366 data_time: 0.0188 memory: 19925 grad_norm: 3.7420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6971 loss: 1.6971 2022/08/10 21:18:05 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 2.0000e-02 eta: 16:54:30 time: 0.9360 data_time: 0.0158 memory: 19925 grad_norm: 3.7585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7379 loss: 1.7379 2022/08/10 21:18:15 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 21:18:22 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 2.0000e-02 eta: 16:54:13 time: 0.8721 data_time: 0.0191 memory: 19925 grad_norm: 3.7644 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5478 loss: 1.5478 2022/08/10 21:18:39 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 2.0000e-02 eta: 16:53:54 time: 0.8399 data_time: 0.0154 memory: 19925 grad_norm: 3.7887 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7265 loss: 1.7265 2022/08/10 21:18:56 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 2.0000e-02 eta: 16:53:35 time: 0.8412 data_time: 0.0180 memory: 19925 grad_norm: 3.7845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8986 loss: 1.8986 2022/08/10 21:19:12 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 2.0000e-02 eta: 16:53:16 time: 0.8376 data_time: 0.0155 memory: 19925 grad_norm: 3.9393 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6939 loss: 1.6939 2022/08/10 21:19:31 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 2.0000e-02 eta: 16:53:01 time: 0.9159 data_time: 0.0211 memory: 19925 grad_norm: 3.7401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/08/10 21:19:48 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 2.0000e-02 eta: 16:52:41 time: 0.8369 data_time: 0.0182 memory: 19925 grad_norm: 3.7892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6053 loss: 1.6053 2022/08/10 21:20:07 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 2.0000e-02 eta: 16:52:30 time: 0.9674 data_time: 0.1507 memory: 19925 grad_norm: 3.7685 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6743 loss: 1.6743 2022/08/10 21:20:32 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 2.0000e-02 eta: 16:52:34 time: 1.2380 data_time: 0.0362 memory: 19925 grad_norm: 3.7811 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6903 loss: 1.6903 2022/08/10 21:20:48 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 2.0000e-02 eta: 16:52:14 time: 0.8411 data_time: 0.0171 memory: 19925 grad_norm: 3.9318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6452 loss: 1.6452 2022/08/10 21:21:06 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 2.0000e-02 eta: 16:51:58 time: 0.8903 data_time: 0.0165 memory: 19925 grad_norm: 3.8053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5533 loss: 1.5533 2022/08/10 21:21:23 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 2.0000e-02 eta: 16:51:40 time: 0.8576 data_time: 0.0203 memory: 19925 grad_norm: 3.8157 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7603 loss: 1.7603 2022/08/10 21:21:42 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 2.0000e-02 eta: 16:51:25 time: 0.9036 data_time: 0.0789 memory: 19925 grad_norm: 3.8461 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7604 loss: 1.7604 2022/08/10 21:21:58 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 2.0000e-02 eta: 16:51:05 time: 0.8411 data_time: 0.0156 memory: 19925 grad_norm: 3.8842 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/08/10 21:22:16 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 2.0000e-02 eta: 16:50:50 time: 0.8992 data_time: 0.0183 memory: 19925 grad_norm: 3.8115 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8133 loss: 1.8133 2022/08/10 21:22:33 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 2.0000e-02 eta: 16:50:31 time: 0.8484 data_time: 0.0180 memory: 19925 grad_norm: 3.8045 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6394 loss: 1.6394 2022/08/10 21:22:54 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 2.0000e-02 eta: 16:50:22 time: 1.0231 data_time: 0.0151 memory: 19925 grad_norm: 3.7684 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9103 loss: 1.9103 2022/08/10 21:23:10 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 2.0000e-02 eta: 16:50:03 time: 0.8321 data_time: 0.0168 memory: 19925 grad_norm: 3.8048 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7950 loss: 1.7950 2022/08/10 21:23:27 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 2.0000e-02 eta: 16:49:43 time: 0.8349 data_time: 0.0158 memory: 19925 grad_norm: 3.7662 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7745 loss: 1.7745 2022/08/10 21:23:44 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 2.0000e-02 eta: 16:49:25 time: 0.8602 data_time: 0.0182 memory: 19925 grad_norm: 3.7736 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7031 loss: 1.7031 2022/08/10 21:24:01 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 2.0000e-02 eta: 16:49:06 time: 0.8332 data_time: 0.0170 memory: 19925 grad_norm: 3.8706 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8722 loss: 1.8722 2022/08/10 21:24:18 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 2.0000e-02 eta: 16:48:46 time: 0.8348 data_time: 0.0190 memory: 19925 grad_norm: 3.9126 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8678 loss: 1.8678 2022/08/10 21:24:34 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 21:24:34 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 2.0000e-02 eta: 16:48:46 time: 0.8331 data_time: 0.0155 memory: 19925 grad_norm: 3.8544 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.8188 loss: 1.8188 2022/08/10 21:24:50 - mmengine - INFO - Epoch(val) [13][20/155] eta: 0:01:51 time: 0.8260 data_time: 0.5948 memory: 2570 2022/08/10 21:25:08 - mmengine - INFO - Epoch(val) [13][40/155] eta: 0:01:43 time: 0.8960 data_time: 0.6664 memory: 2570 2022/08/10 21:25:20 - mmengine - INFO - Epoch(val) [13][60/155] eta: 0:00:55 time: 0.5890 data_time: 0.3583 memory: 2570 2022/08/10 21:25:35 - mmengine - INFO - Epoch(val) [13][80/155] eta: 0:00:57 time: 0.7607 data_time: 0.5307 memory: 2570 2022/08/10 21:25:45 - mmengine - INFO - Epoch(val) [13][100/155] eta: 0:00:26 time: 0.4857 data_time: 0.2568 memory: 2570 2022/08/10 21:25:58 - mmengine - INFO - Epoch(val) [13][120/155] eta: 0:00:23 time: 0.6830 data_time: 0.4533 memory: 2570 2022/08/10 21:26:12 - mmengine - INFO - Epoch(val) [13][140/155] eta: 0:00:10 time: 0.6927 data_time: 0.4635 memory: 2570 2022/08/10 21:26:38 - mmengine - INFO - Epoch(val) [13][155/155] acc/top1: 0.5901 acc/top5: 0.8286 acc/mean1: 0.5901 2022/08/10 21:27:03 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 2.0000e-02 eta: 16:47:48 time: 1.2674 data_time: 0.1584 memory: 19925 grad_norm: 3.8802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7482 loss: 1.7482 2022/08/10 21:27:20 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 2.0000e-02 eta: 16:47:29 time: 0.8380 data_time: 0.0187 memory: 19925 grad_norm: 3.7673 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5867 loss: 1.5867 2022/08/10 21:27:38 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 2.0000e-02 eta: 16:47:13 time: 0.9008 data_time: 0.0779 memory: 19925 grad_norm: 3.7715 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7234 loss: 1.7234 2022/08/10 21:27:56 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 2.0000e-02 eta: 16:46:57 time: 0.8954 data_time: 0.0148 memory: 19925 grad_norm: 3.7564 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6741 loss: 1.6741 2022/08/10 21:28:13 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 2.0000e-02 eta: 16:46:38 time: 0.8344 data_time: 0.0173 memory: 19925 grad_norm: 3.7804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4493 loss: 1.4493 2022/08/10 21:28:29 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 2.0000e-02 eta: 16:46:18 time: 0.8344 data_time: 0.0157 memory: 19925 grad_norm: 3.8464 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6964 loss: 1.6964 2022/08/10 21:28:46 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 2.0000e-02 eta: 16:45:59 time: 0.8373 data_time: 0.0181 memory: 19925 grad_norm: 3.8833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6236 loss: 1.6236 2022/08/10 21:29:03 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 2.0000e-02 eta: 16:45:40 time: 0.8339 data_time: 0.0165 memory: 19925 grad_norm: 3.8777 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7906 loss: 1.7906 2022/08/10 21:29:19 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 2.0000e-02 eta: 16:45:20 time: 0.8346 data_time: 0.0186 memory: 19925 grad_norm: 3.8862 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/10 21:29:36 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 2.0000e-02 eta: 16:45:01 time: 0.8313 data_time: 0.0157 memory: 19925 grad_norm: 3.7115 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5578 loss: 1.5578 2022/08/10 21:29:53 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 2.0000e-02 eta: 16:44:41 time: 0.8310 data_time: 0.0169 memory: 19925 grad_norm: 3.7156 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7173 loss: 1.7173 2022/08/10 21:30:09 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 2.0000e-02 eta: 16:44:22 time: 0.8324 data_time: 0.0175 memory: 19925 grad_norm: 3.8844 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9252 loss: 1.9252 2022/08/10 21:30:26 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 2.0000e-02 eta: 16:44:02 time: 0.8366 data_time: 0.0195 memory: 19925 grad_norm: 3.7864 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8150 loss: 1.8150 2022/08/10 21:30:43 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 2.0000e-02 eta: 16:43:43 time: 0.8350 data_time: 0.0170 memory: 19925 grad_norm: 3.8082 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8335 loss: 1.8335 2022/08/10 21:30:59 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 2.0000e-02 eta: 16:43:24 time: 0.8353 data_time: 0.0180 memory: 19925 grad_norm: 3.8820 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7700 loss: 1.7700 2022/08/10 21:31:16 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 2.0000e-02 eta: 16:43:04 time: 0.8354 data_time: 0.0179 memory: 19925 grad_norm: 3.7849 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7457 loss: 1.7457 2022/08/10 21:31:33 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 2.0000e-02 eta: 16:42:46 time: 0.8464 data_time: 0.0180 memory: 19925 grad_norm: 3.6772 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7337 loss: 1.7337 2022/08/10 21:31:50 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 2.0000e-02 eta: 16:42:27 time: 0.8402 data_time: 0.0163 memory: 19925 grad_norm: 3.7588 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/08/10 21:32:07 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 2.0000e-02 eta: 16:42:07 time: 0.8346 data_time: 0.0172 memory: 19925 grad_norm: 3.8257 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5761 loss: 1.5761 2022/08/10 21:32:23 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 2.0000e-02 eta: 16:41:48 time: 0.8408 data_time: 0.0281 memory: 19925 grad_norm: 3.7546 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5369 loss: 1.5369 2022/08/10 21:32:40 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 2.0000e-02 eta: 16:41:29 time: 0.8310 data_time: 0.0184 memory: 19925 grad_norm: 3.8044 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5859 loss: 1.5859 2022/08/10 21:32:57 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 2.0000e-02 eta: 16:41:10 time: 0.8410 data_time: 0.0170 memory: 19925 grad_norm: 3.7108 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6924 loss: 1.6924 2022/08/10 21:33:14 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 2.0000e-02 eta: 16:40:50 time: 0.8341 data_time: 0.0170 memory: 19925 grad_norm: 3.7885 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6786 loss: 1.6786 2022/08/10 21:33:30 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 2.0000e-02 eta: 16:40:31 time: 0.8291 data_time: 0.0178 memory: 19925 grad_norm: 3.8403 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6326 loss: 1.6326 2022/08/10 21:33:47 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 2.0000e-02 eta: 16:40:12 time: 0.8356 data_time: 0.0173 memory: 19925 grad_norm: 3.8201 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7643 loss: 1.7643 2022/08/10 21:34:04 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 2.0000e-02 eta: 16:39:52 time: 0.8375 data_time: 0.0182 memory: 19925 grad_norm: 3.7874 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6442 loss: 1.6442 2022/08/10 21:34:20 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 2.0000e-02 eta: 16:39:33 time: 0.8335 data_time: 0.0183 memory: 19925 grad_norm: 3.7676 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5672 loss: 1.5672 2022/08/10 21:34:37 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 2.0000e-02 eta: 16:39:14 time: 0.8364 data_time: 0.0173 memory: 19925 grad_norm: 3.8470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8535 loss: 1.8535 2022/08/10 21:34:48 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 21:34:54 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 2.0000e-02 eta: 16:38:54 time: 0.8340 data_time: 0.0176 memory: 19925 grad_norm: 3.8898 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/08/10 21:35:10 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 2.0000e-02 eta: 16:38:35 time: 0.8393 data_time: 0.0191 memory: 19925 grad_norm: 3.7848 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7338 loss: 1.7338 2022/08/10 21:35:27 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 2.0000e-02 eta: 16:38:17 time: 0.8458 data_time: 0.0172 memory: 19925 grad_norm: 3.7960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7930 loss: 1.7930 2022/08/10 21:35:44 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 2.0000e-02 eta: 16:37:58 time: 0.8371 data_time: 0.0166 memory: 19925 grad_norm: 3.7559 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8695 loss: 1.8695 2022/08/10 21:36:01 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 2.0000e-02 eta: 16:37:38 time: 0.8320 data_time: 0.0185 memory: 19925 grad_norm: 3.8303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8861 loss: 1.8861 2022/08/10 21:36:17 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 2.0000e-02 eta: 16:37:19 time: 0.8297 data_time: 0.0169 memory: 19925 grad_norm: 3.7909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/08/10 21:36:34 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 2.0000e-02 eta: 16:37:00 time: 0.8392 data_time: 0.0191 memory: 19925 grad_norm: 3.8158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7508 loss: 1.7508 2022/08/10 21:36:51 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 2.0000e-02 eta: 16:36:40 time: 0.8270 data_time: 0.0159 memory: 19925 grad_norm: 3.8598 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5631 loss: 1.5631 2022/08/10 21:37:07 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 2.0000e-02 eta: 16:36:20 time: 0.8291 data_time: 0.0167 memory: 19925 grad_norm: 3.7394 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6380 loss: 1.6380 2022/08/10 21:37:24 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 2.0000e-02 eta: 16:36:01 time: 0.8303 data_time: 0.0171 memory: 19925 grad_norm: 3.8229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7468 loss: 1.7468 2022/08/10 21:37:41 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 2.0000e-02 eta: 16:35:42 time: 0.8421 data_time: 0.0198 memory: 19925 grad_norm: 3.7496 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5708 loss: 1.5708 2022/08/10 21:37:59 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 2.0000e-02 eta: 16:35:28 time: 0.9242 data_time: 0.0168 memory: 19925 grad_norm: 3.7280 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6268 loss: 1.6268 2022/08/10 21:38:16 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 2.0000e-02 eta: 16:35:09 time: 0.8394 data_time: 0.0169 memory: 19925 grad_norm: 3.7577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7789 loss: 1.7789 2022/08/10 21:38:33 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 2.0000e-02 eta: 16:34:50 time: 0.8405 data_time: 0.0229 memory: 19925 grad_norm: 3.6956 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6421 loss: 1.6421 2022/08/10 21:38:49 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 2.0000e-02 eta: 16:34:30 time: 0.8295 data_time: 0.0167 memory: 19925 grad_norm: 3.9271 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5267 loss: 1.5267 2022/08/10 21:39:06 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 2.0000e-02 eta: 16:34:11 time: 0.8409 data_time: 0.0180 memory: 19925 grad_norm: 3.8809 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6383 loss: 1.6383 2022/08/10 21:39:23 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 2.0000e-02 eta: 16:33:52 time: 0.8385 data_time: 0.0214 memory: 19925 grad_norm: 3.8323 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.5727 loss: 1.5727 2022/08/10 21:39:40 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 2.0000e-02 eta: 16:33:33 time: 0.8273 data_time: 0.0178 memory: 19925 grad_norm: 3.7077 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6598 loss: 1.6598 2022/08/10 21:39:56 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 2.0000e-02 eta: 16:33:13 time: 0.8311 data_time: 0.0200 memory: 19925 grad_norm: 3.9018 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6593 loss: 1.6593 2022/08/10 21:40:13 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 2.0000e-02 eta: 16:32:54 time: 0.8374 data_time: 0.0196 memory: 19925 grad_norm: 3.9039 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/08/10 21:40:30 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 2.0000e-02 eta: 16:32:37 time: 0.8676 data_time: 0.0227 memory: 19925 grad_norm: 3.9042 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7158 loss: 1.7158 2022/08/10 21:40:47 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 2.0000e-02 eta: 16:32:18 time: 0.8412 data_time: 0.0176 memory: 19925 grad_norm: 3.9670 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7993 loss: 1.7993 2022/08/10 21:41:04 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 2.0000e-02 eta: 16:31:58 time: 0.8332 data_time: 0.0184 memory: 19925 grad_norm: 3.8138 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7279 loss: 1.7279 2022/08/10 21:41:20 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 2.0000e-02 eta: 16:31:39 time: 0.8333 data_time: 0.0184 memory: 19925 grad_norm: 3.7868 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7290 loss: 1.7290 2022/08/10 21:41:37 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 2.0000e-02 eta: 16:31:20 time: 0.8356 data_time: 0.0161 memory: 19925 grad_norm: 3.7566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4443 loss: 1.4443 2022/08/10 21:41:54 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 2.0000e-02 eta: 16:31:00 time: 0.8292 data_time: 0.0169 memory: 19925 grad_norm: 3.7753 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5359 loss: 1.5359 2022/08/10 21:42:11 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 2.0000e-02 eta: 16:30:42 time: 0.8398 data_time: 0.0170 memory: 19925 grad_norm: 3.7473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7295 loss: 1.7295 2022/08/10 21:42:27 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 2.0000e-02 eta: 16:30:22 time: 0.8331 data_time: 0.0178 memory: 19925 grad_norm: 3.7865 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7830 loss: 1.7830 2022/08/10 21:42:44 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 2.0000e-02 eta: 16:30:03 time: 0.8317 data_time: 0.0178 memory: 19925 grad_norm: 3.7625 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5750 loss: 1.5750 2022/08/10 21:43:01 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 2.0000e-02 eta: 16:29:44 time: 0.8379 data_time: 0.0178 memory: 19925 grad_norm: 3.9208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8267 loss: 1.8267 2022/08/10 21:43:17 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 2.0000e-02 eta: 16:29:25 time: 0.8326 data_time: 0.0180 memory: 19925 grad_norm: 3.6662 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8866 loss: 1.8866 2022/08/10 21:43:34 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 2.0000e-02 eta: 16:29:05 time: 0.8327 data_time: 0.0155 memory: 19925 grad_norm: 3.7757 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8308 loss: 1.8308 2022/08/10 21:43:51 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 2.0000e-02 eta: 16:28:46 time: 0.8314 data_time: 0.0184 memory: 19925 grad_norm: 3.7994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/08/10 21:44:07 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 2.0000e-02 eta: 16:28:27 time: 0.8299 data_time: 0.0170 memory: 19925 grad_norm: 3.7215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7630 loss: 1.7630 2022/08/10 21:44:24 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 2.0000e-02 eta: 16:28:07 time: 0.8274 data_time: 0.0172 memory: 19925 grad_norm: 3.7238 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7423 loss: 1.7423 2022/08/10 21:44:40 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 2.0000e-02 eta: 16:27:48 time: 0.8329 data_time: 0.0169 memory: 19925 grad_norm: 3.7439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6976 loss: 1.6976 2022/08/10 21:44:57 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 2.0000e-02 eta: 16:27:29 time: 0.8377 data_time: 0.0182 memory: 19925 grad_norm: 3.7714 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7942 loss: 1.7942 2022/08/10 21:45:14 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 2.0000e-02 eta: 16:27:10 time: 0.8454 data_time: 0.0188 memory: 19925 grad_norm: 3.8093 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7844 loss: 1.7844 2022/08/10 21:45:31 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 2.0000e-02 eta: 16:26:51 time: 0.8374 data_time: 0.0187 memory: 19925 grad_norm: 3.6621 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/08/10 21:45:48 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 2.0000e-02 eta: 16:26:32 time: 0.8389 data_time: 0.0172 memory: 19925 grad_norm: 3.8070 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8736 loss: 1.8736 2022/08/10 21:46:04 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 2.0000e-02 eta: 16:26:13 time: 0.8358 data_time: 0.0179 memory: 19925 grad_norm: 3.8049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5610 loss: 1.5610 2022/08/10 21:46:21 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 2.0000e-02 eta: 16:25:54 time: 0.8361 data_time: 0.0143 memory: 19925 grad_norm: 3.7938 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6832 loss: 1.6832 2022/08/10 21:46:38 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 2.0000e-02 eta: 16:25:35 time: 0.8350 data_time: 0.0185 memory: 19925 grad_norm: 3.7661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5915 loss: 1.5915 2022/08/10 21:46:54 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 2.0000e-02 eta: 16:25:15 time: 0.8260 data_time: 0.0166 memory: 19925 grad_norm: 3.9242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7342 loss: 1.7342 2022/08/10 21:47:11 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 2.0000e-02 eta: 16:24:56 time: 0.8312 data_time: 0.0163 memory: 19925 grad_norm: 3.8440 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.4921 loss: 1.4921 2022/08/10 21:47:28 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 2.0000e-02 eta: 16:24:37 time: 0.8297 data_time: 0.0173 memory: 19925 grad_norm: 3.8243 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/08/10 21:47:44 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 2.0000e-02 eta: 16:24:18 time: 0.8485 data_time: 0.0251 memory: 19925 grad_norm: 3.8436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6201 loss: 1.6201 2022/08/10 21:48:02 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 2.0000e-02 eta: 16:24:02 time: 0.8980 data_time: 0.0187 memory: 19925 grad_norm: 3.7624 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7244 loss: 1.7244 2022/08/10 21:48:19 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 2.0000e-02 eta: 16:23:43 time: 0.8356 data_time: 0.0162 memory: 19925 grad_norm: 3.7665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6966 loss: 1.6966 2022/08/10 21:48:36 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 2.0000e-02 eta: 16:23:24 time: 0.8339 data_time: 0.0188 memory: 19925 grad_norm: 3.8242 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6582 loss: 1.6582 2022/08/10 21:48:47 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 21:48:52 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 2.0000e-02 eta: 16:23:05 time: 0.8345 data_time: 0.0182 memory: 19925 grad_norm: 3.7118 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7784 loss: 1.7784 2022/08/10 21:49:09 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 2.0000e-02 eta: 16:22:46 time: 0.8377 data_time: 0.0170 memory: 19925 grad_norm: 3.7703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5391 loss: 1.5391 2022/08/10 21:49:26 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 2.0000e-02 eta: 16:22:28 time: 0.8481 data_time: 0.0337 memory: 19925 grad_norm: 3.9847 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8772 loss: 1.8772 2022/08/10 21:49:43 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 2.0000e-02 eta: 16:22:08 time: 0.8302 data_time: 0.0173 memory: 19925 grad_norm: 3.8842 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6498 loss: 1.6498 2022/08/10 21:50:00 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 2.0000e-02 eta: 16:21:49 time: 0.8340 data_time: 0.0160 memory: 19925 grad_norm: 3.8225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6489 loss: 1.6489 2022/08/10 21:50:16 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 2.0000e-02 eta: 16:21:31 time: 0.8429 data_time: 0.0185 memory: 19925 grad_norm: 3.8397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7953 loss: 1.7953 2022/08/10 21:50:33 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 2.0000e-02 eta: 16:21:11 time: 0.8359 data_time: 0.0218 memory: 19925 grad_norm: 3.7202 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/08/10 21:50:50 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 2.0000e-02 eta: 16:20:52 time: 0.8281 data_time: 0.0147 memory: 19925 grad_norm: 3.8665 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8114 loss: 1.8114 2022/08/10 21:51:06 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 2.0000e-02 eta: 16:20:33 time: 0.8316 data_time: 0.0176 memory: 19925 grad_norm: 3.7490 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7497 loss: 1.7497 2022/08/10 21:51:23 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 2.0000e-02 eta: 16:20:14 time: 0.8323 data_time: 0.0167 memory: 19925 grad_norm: 3.7680 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8880 loss: 1.8880 2022/08/10 21:51:40 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 2.0000e-02 eta: 16:19:55 time: 0.8342 data_time: 0.0157 memory: 19925 grad_norm: 3.8015 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6404 loss: 1.6404 2022/08/10 21:51:56 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 2.0000e-02 eta: 16:19:36 time: 0.8381 data_time: 0.0164 memory: 19925 grad_norm: 3.7675 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6416 loss: 1.6416 2022/08/10 21:52:13 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 2.0000e-02 eta: 16:19:16 time: 0.8296 data_time: 0.0178 memory: 19925 grad_norm: 3.7418 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6018 loss: 1.6018 2022/08/10 21:52:30 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 2.0000e-02 eta: 16:18:57 time: 0.8330 data_time: 0.0172 memory: 19925 grad_norm: 3.7630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/08/10 21:52:46 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 2.0000e-02 eta: 16:18:38 time: 0.8365 data_time: 0.0171 memory: 19925 grad_norm: 3.8502 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6801 loss: 1.6801 2022/08/10 21:53:02 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 21:53:02 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 2.0000e-02 eta: 16:18:38 time: 0.8061 data_time: 0.0144 memory: 19925 grad_norm: 3.7091 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.5241 loss: 1.5241 2022/08/10 21:53:23 - mmengine - INFO - Epoch(val) [14][20/155] eta: 0:02:26 time: 1.0830 data_time: 0.8524 memory: 2570 2022/08/10 21:53:31 - mmengine - INFO - Epoch(val) [14][40/155] eta: 0:00:44 time: 0.3857 data_time: 0.1573 memory: 2570 2022/08/10 21:53:44 - mmengine - INFO - Epoch(val) [14][60/155] eta: 0:00:59 time: 0.6273 data_time: 0.3974 memory: 2570 2022/08/10 21:53:57 - mmengine - INFO - Epoch(val) [14][80/155] eta: 0:00:48 time: 0.6425 data_time: 0.4128 memory: 2570 2022/08/10 21:54:08 - mmengine - INFO - Epoch(val) [14][100/155] eta: 0:00:30 time: 0.5604 data_time: 0.3310 memory: 2570 2022/08/10 21:54:23 - mmengine - INFO - Epoch(val) [14][120/155] eta: 0:00:26 time: 0.7636 data_time: 0.5347 memory: 2570 2022/08/10 21:54:35 - mmengine - INFO - Epoch(val) [14][140/155] eta: 0:00:08 time: 0.5774 data_time: 0.3477 memory: 2570 2022/08/10 21:54:49 - mmengine - INFO - Epoch(val) [14][155/155] acc/top1: 0.6049 acc/top5: 0.8365 acc/mean1: 0.6048 2022/08/10 21:54:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_13.pth is removed 2022/08/10 21:54:51 - mmengine - INFO - The best checkpoint with 0.6049 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/08/10 21:55:12 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 2.0000e-02 eta: 16:17:31 time: 1.0410 data_time: 0.1794 memory: 19925 grad_norm: 3.7579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7227 loss: 1.7227 2022/08/10 21:55:29 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 2.0000e-02 eta: 16:17:12 time: 0.8311 data_time: 0.0176 memory: 19925 grad_norm: 3.9279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7031 loss: 1.7031 2022/08/10 21:55:45 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 2.0000e-02 eta: 16:16:52 time: 0.8310 data_time: 0.0169 memory: 19925 grad_norm: 3.7851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7206 loss: 1.7206 2022/08/10 21:56:02 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 2.0000e-02 eta: 16:16:33 time: 0.8357 data_time: 0.0166 memory: 19925 grad_norm: 3.7631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5930 loss: 1.5930 2022/08/10 21:56:19 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 2.0000e-02 eta: 16:16:14 time: 0.8318 data_time: 0.0172 memory: 19925 grad_norm: 3.8555 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5824 loss: 1.5824 2022/08/10 21:56:35 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 2.0000e-02 eta: 16:15:56 time: 0.8423 data_time: 0.0198 memory: 19925 grad_norm: 3.8335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7939 loss: 1.7939 2022/08/10 21:56:52 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 2.0000e-02 eta: 16:15:37 time: 0.8359 data_time: 0.0186 memory: 19925 grad_norm: 3.8374 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6567 loss: 1.6567 2022/08/10 21:57:09 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 2.0000e-02 eta: 16:15:18 time: 0.8336 data_time: 0.0171 memory: 19925 grad_norm: 3.7349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6384 loss: 1.6384 2022/08/10 21:57:25 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 2.0000e-02 eta: 16:14:59 time: 0.8365 data_time: 0.0171 memory: 19925 grad_norm: 3.7450 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7389 loss: 1.7389 2022/08/10 21:57:42 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 2.0000e-02 eta: 16:14:40 time: 0.8339 data_time: 0.0175 memory: 19925 grad_norm: 3.7804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6834 loss: 1.6834 2022/08/10 21:58:00 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 2.0000e-02 eta: 16:14:24 time: 0.8907 data_time: 0.0172 memory: 19925 grad_norm: 3.6832 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6674 loss: 1.6674 2022/08/10 21:58:17 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 2.0000e-02 eta: 16:14:05 time: 0.8386 data_time: 0.0169 memory: 19925 grad_norm: 3.7938 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5655 loss: 1.5655 2022/08/10 21:58:33 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 2.0000e-02 eta: 16:13:46 time: 0.8303 data_time: 0.0158 memory: 19925 grad_norm: 3.8530 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7615 loss: 1.7615 2022/08/10 21:58:50 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 2.0000e-02 eta: 16:13:27 time: 0.8355 data_time: 0.0174 memory: 19925 grad_norm: 3.7829 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4844 loss: 1.4844 2022/08/10 21:59:07 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 2.0000e-02 eta: 16:13:08 time: 0.8365 data_time: 0.0170 memory: 19925 grad_norm: 3.8198 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6055 loss: 1.6055 2022/08/10 21:59:24 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 2.0000e-02 eta: 16:12:49 time: 0.8387 data_time: 0.0171 memory: 19925 grad_norm: 3.7958 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5715 loss: 1.5715 2022/08/10 21:59:40 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 2.0000e-02 eta: 16:12:30 time: 0.8380 data_time: 0.0168 memory: 19925 grad_norm: 3.8138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8362 loss: 1.8362 2022/08/10 21:59:57 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 2.0000e-02 eta: 16:12:11 time: 0.8362 data_time: 0.0168 memory: 19925 grad_norm: 3.8105 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5296 loss: 1.5296 2022/08/10 22:00:14 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 2.0000e-02 eta: 16:11:53 time: 0.8460 data_time: 0.0212 memory: 19925 grad_norm: 3.7763 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4795 loss: 1.4795 2022/08/10 22:00:33 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 2.0000e-02 eta: 16:11:39 time: 0.9338 data_time: 0.0220 memory: 19925 grad_norm: 3.8310 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6889 loss: 1.6889 2022/08/10 22:00:49 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 2.0000e-02 eta: 16:11:20 time: 0.8401 data_time: 0.0199 memory: 19925 grad_norm: 3.7547 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6728 loss: 1.6728 2022/08/10 22:01:06 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 2.0000e-02 eta: 16:11:02 time: 0.8384 data_time: 0.0171 memory: 19925 grad_norm: 3.8391 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6366 loss: 1.6366 2022/08/10 22:01:23 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 2.0000e-02 eta: 16:10:43 time: 0.8453 data_time: 0.0180 memory: 19925 grad_norm: 3.7477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/08/10 22:01:40 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 2.0000e-02 eta: 16:10:25 time: 0.8455 data_time: 0.0173 memory: 19925 grad_norm: 3.7113 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8252 loss: 1.8252 2022/08/10 22:01:57 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 2.0000e-02 eta: 16:10:06 time: 0.8356 data_time: 0.0167 memory: 19925 grad_norm: 3.6978 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5469 loss: 1.5469 2022/08/10 22:02:13 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 2.0000e-02 eta: 16:09:47 time: 0.8330 data_time: 0.0163 memory: 19925 grad_norm: 3.8616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6512 loss: 1.6512 2022/08/10 22:02:30 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 2.0000e-02 eta: 16:09:28 time: 0.8333 data_time: 0.0161 memory: 19925 grad_norm: 3.7594 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5580 loss: 1.5580 2022/08/10 22:02:47 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 2.0000e-02 eta: 16:09:09 time: 0.8399 data_time: 0.0169 memory: 19925 grad_norm: 3.7280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5688 loss: 1.5688 2022/08/10 22:03:04 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 2.0000e-02 eta: 16:08:50 time: 0.8323 data_time: 0.0176 memory: 19925 grad_norm: 3.7439 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3979 loss: 1.3979 2022/08/10 22:03:20 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 2.0000e-02 eta: 16:08:31 time: 0.8336 data_time: 0.0163 memory: 19925 grad_norm: 3.8072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5947 loss: 1.5947 2022/08/10 22:03:37 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 2.0000e-02 eta: 16:08:12 time: 0.8298 data_time: 0.0170 memory: 19925 grad_norm: 3.8668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6615 loss: 1.6615 2022/08/10 22:03:54 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 2.0000e-02 eta: 16:07:53 time: 0.8421 data_time: 0.0174 memory: 19925 grad_norm: 3.8589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6312 loss: 1.6312 2022/08/10 22:04:10 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 2.0000e-02 eta: 16:07:35 time: 0.8394 data_time: 0.0179 memory: 19925 grad_norm: 3.7823 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4805 loss: 1.4805 2022/08/10 22:04:27 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 2.0000e-02 eta: 16:07:16 time: 0.8375 data_time: 0.0177 memory: 19925 grad_norm: 3.7068 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6235 loss: 1.6235 2022/08/10 22:04:39 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 22:04:44 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 2.0000e-02 eta: 16:06:57 time: 0.8352 data_time: 0.0170 memory: 19925 grad_norm: 3.7185 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6150 loss: 1.6150 2022/08/10 22:05:01 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 2.0000e-02 eta: 16:06:38 time: 0.8409 data_time: 0.0163 memory: 19925 grad_norm: 3.7674 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7752 loss: 1.7752 2022/08/10 22:05:22 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 2.0000e-02 eta: 16:06:31 time: 1.0677 data_time: 0.0211 memory: 19925 grad_norm: 3.8408 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7514 loss: 1.7514 2022/08/10 22:05:39 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 2.0000e-02 eta: 16:06:12 time: 0.8410 data_time: 0.0244 memory: 19925 grad_norm: 3.7391 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5628 loss: 1.5628 2022/08/10 22:05:56 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 2.0000e-02 eta: 16:05:53 time: 0.8368 data_time: 0.0167 memory: 19925 grad_norm: 3.7275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5968 loss: 1.5968 2022/08/10 22:06:12 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 2.0000e-02 eta: 16:05:35 time: 0.8375 data_time: 0.0183 memory: 19925 grad_norm: 3.8858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6404 loss: 1.6404 2022/08/10 22:06:29 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 2.0000e-02 eta: 16:05:16 time: 0.8352 data_time: 0.0183 memory: 19925 grad_norm: 3.8197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6044 loss: 1.6044 2022/08/10 22:06:46 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 2.0000e-02 eta: 16:04:57 time: 0.8390 data_time: 0.0162 memory: 19925 grad_norm: 3.7936 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3612 loss: 1.3612 2022/08/10 22:07:03 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 2.0000e-02 eta: 16:04:38 time: 0.8368 data_time: 0.0164 memory: 19925 grad_norm: 3.8294 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7685 loss: 1.7685 2022/08/10 22:07:19 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 2.0000e-02 eta: 16:04:20 time: 0.8376 data_time: 0.0188 memory: 19925 grad_norm: 3.8809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6829 loss: 1.6829 2022/08/10 22:07:36 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 2.0000e-02 eta: 16:04:01 time: 0.8416 data_time: 0.0195 memory: 19925 grad_norm: 3.8381 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6474 loss: 1.6474 2022/08/10 22:07:55 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 2.0000e-02 eta: 16:03:46 time: 0.9196 data_time: 0.0190 memory: 19925 grad_norm: 3.7928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6295 loss: 1.6295 2022/08/10 22:08:11 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 2.0000e-02 eta: 16:03:27 time: 0.8354 data_time: 0.0166 memory: 19925 grad_norm: 3.7499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/08/10 22:08:28 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 2.0000e-02 eta: 16:03:09 time: 0.8389 data_time: 0.0174 memory: 19925 grad_norm: 3.8172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6627 loss: 1.6627 2022/08/10 22:08:45 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 2.0000e-02 eta: 16:02:50 time: 0.8313 data_time: 0.0179 memory: 19925 grad_norm: 3.7773 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5440 loss: 1.5440 2022/08/10 22:09:02 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 2.0000e-02 eta: 16:02:31 time: 0.8370 data_time: 0.0179 memory: 19925 grad_norm: 3.8066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7608 loss: 1.7608 2022/08/10 22:09:18 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 2.0000e-02 eta: 16:02:12 time: 0.8367 data_time: 0.0177 memory: 19925 grad_norm: 3.8647 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/08/10 22:09:35 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 2.0000e-02 eta: 16:01:53 time: 0.8391 data_time: 0.0187 memory: 19925 grad_norm: 3.8724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6882 loss: 1.6882 2022/08/10 22:09:52 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 2.0000e-02 eta: 16:01:34 time: 0.8308 data_time: 0.0154 memory: 19925 grad_norm: 3.8169 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3604 loss: 1.3604 2022/08/10 22:10:08 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 2.0000e-02 eta: 16:01:16 time: 0.8356 data_time: 0.0167 memory: 19925 grad_norm: 3.8511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5726 loss: 1.5726 2022/08/10 22:10:27 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 2.0000e-02 eta: 16:01:00 time: 0.9143 data_time: 0.0217 memory: 19925 grad_norm: 3.9331 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5149 loss: 1.5149 2022/08/10 22:10:43 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 2.0000e-02 eta: 16:00:42 time: 0.8390 data_time: 0.0165 memory: 19925 grad_norm: 3.7616 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9257 loss: 1.9257 2022/08/10 22:11:00 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 2.0000e-02 eta: 16:00:23 time: 0.8319 data_time: 0.0166 memory: 19925 grad_norm: 3.7748 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6974 loss: 1.6974 2022/08/10 22:11:17 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 2.0000e-02 eta: 16:00:04 time: 0.8307 data_time: 0.0178 memory: 19925 grad_norm: 3.7949 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7731 loss: 1.7731 2022/08/10 22:11:33 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 2.0000e-02 eta: 15:59:45 time: 0.8280 data_time: 0.0165 memory: 19925 grad_norm: 3.8109 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5157 loss: 1.5157 2022/08/10 22:11:50 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 2.0000e-02 eta: 15:59:26 time: 0.8321 data_time: 0.0171 memory: 19925 grad_norm: 3.8094 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6289 loss: 1.6289 2022/08/10 22:12:07 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 2.0000e-02 eta: 15:59:07 time: 0.8369 data_time: 0.0182 memory: 19925 grad_norm: 3.7196 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6459 loss: 1.6459 2022/08/10 22:12:23 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 2.0000e-02 eta: 15:58:48 time: 0.8370 data_time: 0.0181 memory: 19925 grad_norm: 3.8092 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7626 loss: 1.7626 2022/08/10 22:12:40 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 2.0000e-02 eta: 15:58:30 time: 0.8400 data_time: 0.0170 memory: 19925 grad_norm: 3.8275 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4429 loss: 1.4429 2022/08/10 22:12:57 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 2.0000e-02 eta: 15:58:11 time: 0.8386 data_time: 0.0171 memory: 19925 grad_norm: 3.7975 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7691 loss: 1.7691 2022/08/10 22:13:14 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 2.0000e-02 eta: 15:57:52 time: 0.8316 data_time: 0.0184 memory: 19925 grad_norm: 3.7076 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6080 loss: 1.6080 2022/08/10 22:13:30 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 2.0000e-02 eta: 15:57:33 time: 0.8353 data_time: 0.0177 memory: 19925 grad_norm: 3.8042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/10 22:13:47 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 2.0000e-02 eta: 15:57:14 time: 0.8369 data_time: 0.0161 memory: 19925 grad_norm: 3.8337 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8504 loss: 1.8504 2022/08/10 22:14:04 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 2.0000e-02 eta: 15:56:55 time: 0.8319 data_time: 0.0191 memory: 19925 grad_norm: 3.7326 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7906 loss: 1.7906 2022/08/10 22:14:21 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 2.0000e-02 eta: 15:56:37 time: 0.8358 data_time: 0.0154 memory: 19925 grad_norm: 3.8187 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/08/10 22:14:37 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 2.0000e-02 eta: 15:56:18 time: 0.8380 data_time: 0.0235 memory: 19925 grad_norm: 3.7956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5797 loss: 1.5797 2022/08/10 22:14:54 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 2.0000e-02 eta: 15:55:59 time: 0.8329 data_time: 0.0165 memory: 19925 grad_norm: 3.7347 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8349 loss: 1.8349 2022/08/10 22:15:11 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 2.0000e-02 eta: 15:55:40 time: 0.8406 data_time: 0.0186 memory: 19925 grad_norm: 3.8701 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7667 loss: 1.7667 2022/08/10 22:15:28 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 2.0000e-02 eta: 15:55:22 time: 0.8454 data_time: 0.0207 memory: 19925 grad_norm: 3.7328 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5818 loss: 1.5818 2022/08/10 22:15:44 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 2.0000e-02 eta: 15:55:03 time: 0.8281 data_time: 0.0172 memory: 19925 grad_norm: 3.8580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6602 loss: 1.6602 2022/08/10 22:16:01 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 2.0000e-02 eta: 15:54:44 time: 0.8285 data_time: 0.0183 memory: 19925 grad_norm: 3.7593 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5778 loss: 1.5778 2022/08/10 22:16:17 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 2.0000e-02 eta: 15:54:25 time: 0.8278 data_time: 0.0173 memory: 19925 grad_norm: 3.9031 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7537 loss: 1.7537 2022/08/10 22:16:34 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 2.0000e-02 eta: 15:54:06 time: 0.8307 data_time: 0.0175 memory: 19925 grad_norm: 3.8644 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6193 loss: 1.6193 2022/08/10 22:16:51 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 2.0000e-02 eta: 15:53:47 time: 0.8303 data_time: 0.0173 memory: 19925 grad_norm: 3.7350 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6495 loss: 1.6495 2022/08/10 22:17:07 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 2.0000e-02 eta: 15:53:28 time: 0.8327 data_time: 0.0156 memory: 19925 grad_norm: 3.6896 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6530 loss: 1.6530 2022/08/10 22:17:24 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 2.0000e-02 eta: 15:53:09 time: 0.8338 data_time: 0.0184 memory: 19925 grad_norm: 3.8580 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6167 loss: 1.6167 2022/08/10 22:17:41 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 2.0000e-02 eta: 15:52:50 time: 0.8320 data_time: 0.0168 memory: 19925 grad_norm: 3.7873 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7641 loss: 1.7641 2022/08/10 22:17:58 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 2.0000e-02 eta: 15:52:34 time: 0.8945 data_time: 0.0456 memory: 19925 grad_norm: 3.7801 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7364 loss: 1.7364 2022/08/10 22:18:15 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 2.0000e-02 eta: 15:52:15 time: 0.8279 data_time: 0.0164 memory: 19925 grad_norm: 3.8192 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7931 loss: 1.7931 2022/08/10 22:18:32 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 2.0000e-02 eta: 15:51:56 time: 0.8272 data_time: 0.0173 memory: 19925 grad_norm: 3.7891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5759 loss: 1.5759 2022/08/10 22:18:43 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 22:18:48 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 2.0000e-02 eta: 15:51:37 time: 0.8302 data_time: 0.0186 memory: 19925 grad_norm: 3.8756 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5407 loss: 1.5407 2022/08/10 22:19:05 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 2.0000e-02 eta: 15:51:18 time: 0.8294 data_time: 0.0172 memory: 19925 grad_norm: 3.8064 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8003 loss: 1.8003 2022/08/10 22:19:21 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 2.0000e-02 eta: 15:50:59 time: 0.8322 data_time: 0.0175 memory: 19925 grad_norm: 3.7462 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6969 loss: 1.6969 2022/08/10 22:19:38 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 2.0000e-02 eta: 15:50:40 time: 0.8316 data_time: 0.0164 memory: 19925 grad_norm: 3.9356 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6909 loss: 1.6909 2022/08/10 22:19:55 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 2.0000e-02 eta: 15:50:21 time: 0.8291 data_time: 0.0177 memory: 19925 grad_norm: 3.8813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6672 loss: 1.6672 2022/08/10 22:20:11 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 2.0000e-02 eta: 15:50:02 time: 0.8345 data_time: 0.0203 memory: 19925 grad_norm: 3.8217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7766 loss: 1.7766 2022/08/10 22:20:28 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 2.0000e-02 eta: 15:49:44 time: 0.8517 data_time: 0.0231 memory: 19925 grad_norm: 3.8040 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/08/10 22:20:45 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 2.0000e-02 eta: 15:49:25 time: 0.8312 data_time: 0.0184 memory: 19925 grad_norm: 3.8919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6679 loss: 1.6679 2022/08/10 22:21:02 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 2.0000e-02 eta: 15:49:06 time: 0.8302 data_time: 0.0165 memory: 19925 grad_norm: 3.7238 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7823 loss: 1.7823 2022/08/10 22:21:17 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 22:21:17 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 2.0000e-02 eta: 15:49:06 time: 0.7997 data_time: 0.0165 memory: 19925 grad_norm: 3.9640 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7754 loss: 1.7754 2022/08/10 22:21:17 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/10 22:21:33 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:01:38 time: 0.7310 data_time: 0.4985 memory: 2570 2022/08/10 22:21:43 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:54 time: 0.4775 data_time: 0.2459 memory: 2570 2022/08/10 22:21:56 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:01:03 time: 0.6671 data_time: 0.4358 memory: 2570 2022/08/10 22:22:12 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:57 time: 0.7606 data_time: 0.5293 memory: 2570 2022/08/10 22:22:23 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:31 time: 0.5775 data_time: 0.3485 memory: 2570 2022/08/10 22:22:30 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:11 time: 0.3293 data_time: 0.0991 memory: 2570 2022/08/10 22:24:13 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:01:17 time: 5.1705 data_time: 4.9396 memory: 2570 2022/08/10 22:24:37 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.6036 acc/top5: 0.8352 acc/mean1: 0.6035 2022/08/10 22:25:03 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 2.0000e-02 eta: 15:48:13 time: 1.2771 data_time: 0.3116 memory: 19925 grad_norm: 3.7925 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5670 loss: 1.5670 2022/08/10 22:25:20 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 2.0000e-02 eta: 15:47:56 time: 0.8536 data_time: 0.0375 memory: 19925 grad_norm: 3.8479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6457 loss: 1.6457 2022/08/10 22:25:36 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 2.0000e-02 eta: 15:47:36 time: 0.8246 data_time: 0.0176 memory: 19925 grad_norm: 3.7747 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7203 loss: 1.7203 2022/08/10 22:25:53 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 2.0000e-02 eta: 15:47:17 time: 0.8265 data_time: 0.0184 memory: 19925 grad_norm: 3.8373 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6097 loss: 1.6097 2022/08/10 22:26:09 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 2.0000e-02 eta: 15:46:58 time: 0.8305 data_time: 0.0180 memory: 19925 grad_norm: 3.7504 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6188 loss: 1.6188 2022/08/10 22:26:26 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 2.0000e-02 eta: 15:46:39 time: 0.8280 data_time: 0.0188 memory: 19925 grad_norm: 3.7583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5164 loss: 1.5164 2022/08/10 22:26:43 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 2.0000e-02 eta: 15:46:20 time: 0.8330 data_time: 0.0155 memory: 19925 grad_norm: 3.7032 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/08/10 22:26:59 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 2.0000e-02 eta: 15:46:02 time: 0.8340 data_time: 0.0187 memory: 19925 grad_norm: 3.7346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4276 loss: 1.4276 2022/08/10 22:27:16 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 2.0000e-02 eta: 15:45:43 time: 0.8316 data_time: 0.0152 memory: 19925 grad_norm: 3.9222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7461 loss: 1.7461 2022/08/10 22:27:33 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 2.0000e-02 eta: 15:45:24 time: 0.8409 data_time: 0.0177 memory: 19925 grad_norm: 3.7196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4245 loss: 1.4245 2022/08/10 22:27:51 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 2.0000e-02 eta: 15:45:09 time: 0.9029 data_time: 0.0237 memory: 19925 grad_norm: 3.6802 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6710 loss: 1.6710 2022/08/10 22:28:08 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 2.0000e-02 eta: 15:44:50 time: 0.8361 data_time: 0.0180 memory: 19925 grad_norm: 3.8154 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6236 loss: 1.6236 2022/08/10 22:28:24 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 2.0000e-02 eta: 15:44:31 time: 0.8345 data_time: 0.0167 memory: 19925 grad_norm: 3.8742 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6336 loss: 1.6336 2022/08/10 22:28:41 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 2.0000e-02 eta: 15:44:13 time: 0.8343 data_time: 0.0180 memory: 19925 grad_norm: 3.8789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/08/10 22:28:58 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 2.0000e-02 eta: 15:43:54 time: 0.8362 data_time: 0.0161 memory: 19925 grad_norm: 3.8745 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/08/10 22:29:14 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 2.0000e-02 eta: 15:43:36 time: 0.8374 data_time: 0.0180 memory: 19925 grad_norm: 3.7549 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4682 loss: 1.4682 2022/08/10 22:29:31 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 2.0000e-02 eta: 15:43:17 time: 0.8384 data_time: 0.0168 memory: 19925 grad_norm: 3.7535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4787 loss: 1.4787 2022/08/10 22:29:50 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 2.0000e-02 eta: 15:43:04 time: 0.9569 data_time: 0.0159 memory: 19925 grad_norm: 3.7946 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5782 loss: 1.5782 2022/08/10 22:30:07 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 2.0000e-02 eta: 15:42:45 time: 0.8369 data_time: 0.0207 memory: 19925 grad_norm: 3.9410 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4485 loss: 1.4485 2022/08/10 22:30:24 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 2.0000e-02 eta: 15:42:28 time: 0.8569 data_time: 0.0333 memory: 19925 grad_norm: 3.9332 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5526 loss: 1.5526 2022/08/10 22:30:41 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 2.0000e-02 eta: 15:42:09 time: 0.8380 data_time: 0.0166 memory: 19925 grad_norm: 3.7881 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8551 loss: 1.8551 2022/08/10 22:30:58 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 2.0000e-02 eta: 15:41:50 time: 0.8335 data_time: 0.0173 memory: 19925 grad_norm: 3.7253 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6759 loss: 1.6759 2022/08/10 22:31:14 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 2.0000e-02 eta: 15:41:32 time: 0.8361 data_time: 0.0171 memory: 19925 grad_norm: 3.7660 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6921 loss: 1.6921 2022/08/10 22:31:31 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 2.0000e-02 eta: 15:41:13 time: 0.8334 data_time: 0.0177 memory: 19925 grad_norm: 3.8795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5497 loss: 1.5497 2022/08/10 22:31:48 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 2.0000e-02 eta: 15:40:54 time: 0.8322 data_time: 0.0184 memory: 19925 grad_norm: 3.8409 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6084 loss: 1.6084 2022/08/10 22:32:04 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 2.0000e-02 eta: 15:40:36 time: 0.8382 data_time: 0.0171 memory: 19925 grad_norm: 3.7731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4432 loss: 1.4432 2022/08/10 22:32:23 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 2.0000e-02 eta: 15:40:22 time: 0.9379 data_time: 0.0181 memory: 19925 grad_norm: 3.8549 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6735 loss: 1.6735 2022/08/10 22:32:40 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 2.0000e-02 eta: 15:40:03 time: 0.8308 data_time: 0.0175 memory: 19925 grad_norm: 3.7524 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/08/10 22:32:57 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 2.0000e-02 eta: 15:39:44 time: 0.8325 data_time: 0.0172 memory: 19925 grad_norm: 3.7556 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6843 loss: 1.6843 2022/08/10 22:33:13 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 2.0000e-02 eta: 15:39:25 time: 0.8352 data_time: 0.0168 memory: 19925 grad_norm: 3.7809 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5082 loss: 1.5082 2022/08/10 22:33:30 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 2.0000e-02 eta: 15:39:07 time: 0.8341 data_time: 0.0177 memory: 19925 grad_norm: 3.8404 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6229 loss: 1.6229 2022/08/10 22:33:47 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 2.0000e-02 eta: 15:38:49 time: 0.8454 data_time: 0.0247 memory: 19925 grad_norm: 3.7792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6287 loss: 1.6287 2022/08/10 22:34:04 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 2.0000e-02 eta: 15:38:30 time: 0.8382 data_time: 0.0182 memory: 19925 grad_norm: 3.8265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7733 loss: 1.7733 2022/08/10 22:34:20 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 2.0000e-02 eta: 15:38:11 time: 0.8341 data_time: 0.0177 memory: 19925 grad_norm: 3.8350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7585 loss: 1.7585 2022/08/10 22:34:37 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 2.0000e-02 eta: 15:37:53 time: 0.8344 data_time: 0.0170 memory: 19925 grad_norm: 3.8284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/08/10 22:34:54 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 2.0000e-02 eta: 15:37:34 time: 0.8409 data_time: 0.0185 memory: 19925 grad_norm: 3.8924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6610 loss: 1.6610 2022/08/10 22:35:11 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 2.0000e-02 eta: 15:37:16 time: 0.8519 data_time: 0.0233 memory: 19925 grad_norm: 3.7504 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8367 loss: 1.8367 2022/08/10 22:35:29 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 2.0000e-02 eta: 15:37:01 time: 0.9085 data_time: 0.0722 memory: 19925 grad_norm: 3.8638 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4573 loss: 1.4573 2022/08/10 22:35:46 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 2.0000e-02 eta: 15:36:43 time: 0.8463 data_time: 0.0240 memory: 19925 grad_norm: 3.8123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5760 loss: 1.5760 2022/08/10 22:36:03 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 2.0000e-02 eta: 15:36:25 time: 0.8498 data_time: 0.0178 memory: 19925 grad_norm: 3.7721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5666 loss: 1.5666 2022/08/10 22:36:16 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 22:36:20 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 2.0000e-02 eta: 15:36:07 time: 0.8421 data_time: 0.0167 memory: 19925 grad_norm: 3.8677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5295 loss: 1.5295 2022/08/10 22:36:40 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 2.0000e-02 eta: 15:35:56 time: 1.0072 data_time: 0.0188 memory: 19925 grad_norm: 3.8133 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6902 loss: 1.6902 2022/08/10 22:36:58 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 2.0000e-02 eta: 15:35:40 time: 0.9035 data_time: 0.0145 memory: 19925 grad_norm: 3.8029 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6319 loss: 1.6319 2022/08/10 22:37:15 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 2.0000e-02 eta: 15:35:22 time: 0.8465 data_time: 0.0181 memory: 19925 grad_norm: 3.8568 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6675 loss: 1.6675 2022/08/10 22:37:34 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 2.0000e-02 eta: 15:35:09 time: 0.9686 data_time: 0.0172 memory: 19925 grad_norm: 3.7915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6997 loss: 1.6997 2022/08/10 22:37:53 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 2.0000e-02 eta: 15:34:54 time: 0.9100 data_time: 0.0916 memory: 19925 grad_norm: 3.7846 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7691 loss: 1.7691 2022/08/10 22:38:10 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 2.0000e-02 eta: 15:34:36 time: 0.8497 data_time: 0.0156 memory: 19925 grad_norm: 3.9159 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6110 loss: 1.6110 2022/08/10 22:38:26 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 2.0000e-02 eta: 15:34:18 time: 0.8366 data_time: 0.0168 memory: 19925 grad_norm: 3.7740 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5982 loss: 1.5982 2022/08/10 22:38:45 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 2.0000e-02 eta: 15:34:03 time: 0.9352 data_time: 0.0170 memory: 19925 grad_norm: 3.6309 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4845 loss: 1.4845 2022/08/10 22:39:02 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 2.0000e-02 eta: 15:33:45 time: 0.8372 data_time: 0.0203 memory: 19925 grad_norm: 3.7641 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8113 loss: 1.8113 2022/08/10 22:39:18 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 2.0000e-02 eta: 15:33:26 time: 0.8318 data_time: 0.0176 memory: 19925 grad_norm: 3.8350 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6212 loss: 1.6212 2022/08/10 22:39:35 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 2.0000e-02 eta: 15:33:07 time: 0.8331 data_time: 0.0175 memory: 19925 grad_norm: 3.7498 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4730 loss: 1.4730 2022/08/10 22:39:52 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 2.0000e-02 eta: 15:32:49 time: 0.8321 data_time: 0.0174 memory: 19925 grad_norm: 3.8149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6232 loss: 1.6232 2022/08/10 22:40:10 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 2.0000e-02 eta: 15:32:33 time: 0.9025 data_time: 0.0188 memory: 19925 grad_norm: 3.6505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6202 loss: 1.6202 2022/08/10 22:40:27 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 2.0000e-02 eta: 15:32:16 time: 0.8643 data_time: 0.0444 memory: 19925 grad_norm: 3.7267 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6021 loss: 1.6021 2022/08/10 22:40:44 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 2.0000e-02 eta: 15:31:57 time: 0.8393 data_time: 0.0170 memory: 19925 grad_norm: 3.7133 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/08/10 22:41:01 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 2.0000e-02 eta: 15:31:39 time: 0.8365 data_time: 0.0177 memory: 19925 grad_norm: 3.6773 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6483 loss: 1.6483 2022/08/10 22:41:17 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 2.0000e-02 eta: 15:31:20 time: 0.8315 data_time: 0.0163 memory: 19925 grad_norm: 3.7355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6641 loss: 1.6641 2022/08/10 22:41:34 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 2.0000e-02 eta: 15:31:02 time: 0.8552 data_time: 0.0382 memory: 19925 grad_norm: 3.7964 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/08/10 22:41:51 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 2.0000e-02 eta: 15:30:43 time: 0.8279 data_time: 0.0180 memory: 19925 grad_norm: 3.8330 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5771 loss: 1.5771 2022/08/10 22:42:07 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 2.0000e-02 eta: 15:30:24 time: 0.8289 data_time: 0.0176 memory: 19925 grad_norm: 3.8834 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/08/10 22:42:24 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 2.0000e-02 eta: 15:30:05 time: 0.8292 data_time: 0.0185 memory: 19925 grad_norm: 3.6999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5415 loss: 1.5415 2022/08/10 22:42:41 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 2.0000e-02 eta: 15:29:47 time: 0.8292 data_time: 0.0185 memory: 19925 grad_norm: 3.7403 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6621 loss: 1.6621 2022/08/10 22:42:57 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 2.0000e-02 eta: 15:29:28 time: 0.8419 data_time: 0.0169 memory: 19925 grad_norm: 3.7340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6713 loss: 1.6713 2022/08/10 22:43:14 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 2.0000e-02 eta: 15:29:09 time: 0.8299 data_time: 0.0172 memory: 19925 grad_norm: 3.8237 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5941 loss: 1.5941 2022/08/10 22:43:31 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 2.0000e-02 eta: 15:28:51 time: 0.8416 data_time: 0.0253 memory: 19925 grad_norm: 3.8602 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8873 loss: 1.8873 2022/08/10 22:43:48 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 2.0000e-02 eta: 15:28:33 time: 0.8392 data_time: 0.0171 memory: 19925 grad_norm: 3.7957 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7619 loss: 1.7619 2022/08/10 22:44:05 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 2.0000e-02 eta: 15:28:14 time: 0.8422 data_time: 0.0175 memory: 19925 grad_norm: 3.7802 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6115 loss: 1.6115 2022/08/10 22:44:21 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 2.0000e-02 eta: 15:27:56 time: 0.8407 data_time: 0.0180 memory: 19925 grad_norm: 3.7524 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6386 loss: 1.6386 2022/08/10 22:44:38 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 2.0000e-02 eta: 15:27:37 time: 0.8305 data_time: 0.0172 memory: 19925 grad_norm: 3.7145 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6418 loss: 1.6418 2022/08/10 22:44:55 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 2.0000e-02 eta: 15:27:19 time: 0.8375 data_time: 0.0172 memory: 19925 grad_norm: 3.8347 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4707 loss: 1.4707 2022/08/10 22:45:12 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 2.0000e-02 eta: 15:27:01 time: 0.8425 data_time: 0.0183 memory: 19925 grad_norm: 3.9418 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6494 loss: 1.6494 2022/08/10 22:45:28 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 2.0000e-02 eta: 15:26:42 time: 0.8388 data_time: 0.0188 memory: 19925 grad_norm: 3.8354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7708 loss: 1.7708 2022/08/10 22:45:45 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 2.0000e-02 eta: 15:26:24 time: 0.8381 data_time: 0.0171 memory: 19925 grad_norm: 3.8075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9628 loss: 1.9628 2022/08/10 22:46:02 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 2.0000e-02 eta: 15:26:05 time: 0.8360 data_time: 0.0171 memory: 19925 grad_norm: 3.7545 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/08/10 22:46:20 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 2.0000e-02 eta: 15:25:49 time: 0.8869 data_time: 0.0174 memory: 19925 grad_norm: 3.8138 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6591 loss: 1.6591 2022/08/10 22:46:36 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 2.0000e-02 eta: 15:25:30 time: 0.8381 data_time: 0.0168 memory: 19925 grad_norm: 3.8205 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5111 loss: 1.5111 2022/08/10 22:46:53 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 2.0000e-02 eta: 15:25:12 time: 0.8374 data_time: 0.0184 memory: 19925 grad_norm: 3.9135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7296 loss: 1.7296 2022/08/10 22:47:10 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 2.0000e-02 eta: 15:24:54 time: 0.8474 data_time: 0.0177 memory: 19925 grad_norm: 3.8275 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7305 loss: 1.7305 2022/08/10 22:47:27 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 2.0000e-02 eta: 15:24:36 time: 0.8399 data_time: 0.0176 memory: 19925 grad_norm: 3.8365 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7510 loss: 1.7510 2022/08/10 22:47:44 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 2.0000e-02 eta: 15:24:17 time: 0.8332 data_time: 0.0168 memory: 19925 grad_norm: 3.7905 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5293 loss: 1.5293 2022/08/10 22:48:02 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 2.0000e-02 eta: 15:24:03 time: 0.9352 data_time: 0.0180 memory: 19925 grad_norm: 3.7224 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5656 loss: 1.5656 2022/08/10 22:48:19 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 2.0000e-02 eta: 15:23:45 time: 0.8452 data_time: 0.0166 memory: 19925 grad_norm: 3.7728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7400 loss: 1.7400 2022/08/10 22:48:40 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 2.0000e-02 eta: 15:23:35 time: 1.0358 data_time: 0.0176 memory: 19925 grad_norm: 3.8495 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7506 loss: 1.7506 2022/08/10 22:48:59 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 2.0000e-02 eta: 15:23:22 time: 0.9759 data_time: 0.0177 memory: 19925 grad_norm: 3.8771 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6159 loss: 1.6159 2022/08/10 22:49:16 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 2.0000e-02 eta: 15:23:03 time: 0.8300 data_time: 0.0160 memory: 19925 grad_norm: 3.9108 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7680 loss: 1.7680 2022/08/10 22:49:36 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 2.0000e-02 eta: 15:22:52 time: 1.0162 data_time: 0.0159 memory: 19925 grad_norm: 3.8881 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6011 loss: 1.6011 2022/08/10 22:49:53 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 2.0000e-02 eta: 15:22:34 time: 0.8336 data_time: 0.0170 memory: 19925 grad_norm: 3.7537 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6198 loss: 1.6198 2022/08/10 22:50:10 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 2.0000e-02 eta: 15:22:16 time: 0.8501 data_time: 0.0199 memory: 19925 grad_norm: 3.8171 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5982 loss: 1.5982 2022/08/10 22:50:27 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 2.0000e-02 eta: 15:21:58 time: 0.8423 data_time: 0.0182 memory: 19925 grad_norm: 3.8898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6402 loss: 1.6402 2022/08/10 22:50:39 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 22:50:44 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 2.0000e-02 eta: 15:21:39 time: 0.8349 data_time: 0.0177 memory: 19925 grad_norm: 3.7645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7020 loss: 1.7020 2022/08/10 22:51:00 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 2.0000e-02 eta: 15:21:21 time: 0.8367 data_time: 0.0170 memory: 19925 grad_norm: 3.7352 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4368 loss: 1.4368 2022/08/10 22:51:17 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 2.0000e-02 eta: 15:21:02 time: 0.8346 data_time: 0.0167 memory: 19925 grad_norm: 3.7636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/08/10 22:51:32 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 22:51:32 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 2.0000e-02 eta: 15:21:02 time: 0.8163 data_time: 0.0169 memory: 19925 grad_norm: 3.8835 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7038 loss: 1.7038 2022/08/10 22:51:47 - mmengine - INFO - Epoch(val) [16][20/155] eta: 0:01:40 time: 0.7476 data_time: 0.5143 memory: 2570 2022/08/10 22:51:58 - mmengine - INFO - Epoch(val) [16][40/155] eta: 0:00:58 time: 0.5093 data_time: 0.2788 memory: 2570 2022/08/10 22:52:08 - mmengine - INFO - Epoch(val) [16][60/155] eta: 0:00:48 time: 0.5133 data_time: 0.2824 memory: 2570 2022/08/10 22:52:20 - mmengine - INFO - Epoch(val) [16][80/155] eta: 0:00:45 time: 0.6020 data_time: 0.3727 memory: 2570 2022/08/10 22:52:30 - mmengine - INFO - Epoch(val) [16][100/155] eta: 0:00:26 time: 0.4833 data_time: 0.2544 memory: 2570 2022/08/10 22:52:42 - mmengine - INFO - Epoch(val) [16][120/155] eta: 0:00:21 time: 0.6089 data_time: 0.3784 memory: 2570 2022/08/10 22:52:49 - mmengine - INFO - Epoch(val) [16][140/155] eta: 0:00:05 time: 0.3640 data_time: 0.1348 memory: 2570 2022/08/10 22:53:37 - mmengine - INFO - Epoch(val) [16][155/155] acc/top1: 0.6012 acc/top5: 0.8359 acc/mean1: 0.6009 2022/08/10 22:54:11 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 2.0000e-02 eta: 15:20:27 time: 1.6642 data_time: 0.2077 memory: 19925 grad_norm: 3.8243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4179 loss: 1.4179 2022/08/10 22:54:33 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 2.0000e-02 eta: 15:20:20 time: 1.0997 data_time: 0.0185 memory: 19925 grad_norm: 3.8079 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5431 loss: 1.5431 2022/08/10 22:54:55 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 2.0000e-02 eta: 15:20:13 time: 1.1110 data_time: 0.0163 memory: 19925 grad_norm: 3.8831 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5396 loss: 1.5396 2022/08/10 22:55:12 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 2.0000e-02 eta: 15:19:55 time: 0.8394 data_time: 0.0183 memory: 19925 grad_norm: 3.8614 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7077 loss: 1.7077 2022/08/10 22:55:29 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 2.0000e-02 eta: 15:19:38 time: 0.8752 data_time: 0.0207 memory: 19925 grad_norm: 3.7388 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6897 loss: 1.6897 2022/08/10 22:55:49 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 2.0000e-02 eta: 15:19:25 time: 0.9746 data_time: 0.0160 memory: 19925 grad_norm: 3.7683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5507 loss: 1.5507 2022/08/10 22:56:05 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 2.0000e-02 eta: 15:19:07 time: 0.8343 data_time: 0.0168 memory: 19925 grad_norm: 3.7973 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4365 loss: 1.4365 2022/08/10 22:56:22 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 2.0000e-02 eta: 15:18:48 time: 0.8381 data_time: 0.0183 memory: 19925 grad_norm: 3.7328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6125 loss: 1.6125 2022/08/10 22:56:39 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 2.0000e-02 eta: 15:18:30 time: 0.8344 data_time: 0.0163 memory: 19925 grad_norm: 3.8724 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5739 loss: 1.5739 2022/08/10 22:56:56 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 2.0000e-02 eta: 15:18:11 time: 0.8389 data_time: 0.0176 memory: 19925 grad_norm: 3.8547 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6094 loss: 1.6094 2022/08/10 22:57:12 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 2.0000e-02 eta: 15:17:53 time: 0.8380 data_time: 0.0196 memory: 19925 grad_norm: 3.7676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6621 loss: 1.6621 2022/08/10 22:57:29 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 2.0000e-02 eta: 15:17:34 time: 0.8360 data_time: 0.0180 memory: 19925 grad_norm: 3.6949 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5965 loss: 1.5965 2022/08/10 22:57:46 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 2.0000e-02 eta: 15:17:16 time: 0.8328 data_time: 0.0157 memory: 19925 grad_norm: 3.7550 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4680 loss: 1.4680 2022/08/10 22:58:04 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 2.0000e-02 eta: 15:17:01 time: 0.9203 data_time: 0.0168 memory: 19925 grad_norm: 3.9467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5800 loss: 1.5800 2022/08/10 22:58:21 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 2.0000e-02 eta: 15:16:42 time: 0.8337 data_time: 0.0175 memory: 19925 grad_norm: 3.7849 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7555 loss: 1.7555 2022/08/10 22:58:38 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 2.0000e-02 eta: 15:16:23 time: 0.8319 data_time: 0.0183 memory: 19925 grad_norm: 3.8120 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6063 loss: 1.6063 2022/08/10 22:58:54 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 2.0000e-02 eta: 15:16:05 time: 0.8305 data_time: 0.0176 memory: 19925 grad_norm: 3.8509 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6113 loss: 1.6113 2022/08/10 22:59:11 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 2.0000e-02 eta: 15:15:46 time: 0.8339 data_time: 0.0177 memory: 19925 grad_norm: 3.6831 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4650 loss: 1.4650 2022/08/10 22:59:28 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 2.0000e-02 eta: 15:15:27 time: 0.8353 data_time: 0.0186 memory: 19925 grad_norm: 3.7384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5979 loss: 1.5979 2022/08/10 22:59:44 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 2.0000e-02 eta: 15:15:09 time: 0.8310 data_time: 0.0180 memory: 19925 grad_norm: 3.7223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6782 loss: 1.6782 2022/08/10 23:00:01 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 2.0000e-02 eta: 15:14:50 time: 0.8275 data_time: 0.0175 memory: 19925 grad_norm: 3.7297 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/08/10 23:00:18 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 2.0000e-02 eta: 15:14:32 time: 0.8608 data_time: 0.0254 memory: 19925 grad_norm: 3.7903 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5544 loss: 1.5544 2022/08/10 23:00:35 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 2.0000e-02 eta: 15:14:14 time: 0.8380 data_time: 0.0176 memory: 19925 grad_norm: 3.9060 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7478 loss: 1.7478 2022/08/10 23:00:51 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 2.0000e-02 eta: 15:13:56 time: 0.8379 data_time: 0.0175 memory: 19925 grad_norm: 3.8518 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6250 loss: 1.6250 2022/08/10 23:01:08 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 2.0000e-02 eta: 15:13:37 time: 0.8379 data_time: 0.0177 memory: 19925 grad_norm: 3.8076 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6739 loss: 1.6739 2022/08/10 23:01:25 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 2.0000e-02 eta: 15:13:18 time: 0.8289 data_time: 0.0183 memory: 19925 grad_norm: 3.7909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6990 loss: 1.6990 2022/08/10 23:01:41 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 2.0000e-02 eta: 15:13:00 time: 0.8305 data_time: 0.0196 memory: 19925 grad_norm: 3.8605 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5331 loss: 1.5331 2022/08/10 23:01:58 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 2.0000e-02 eta: 15:12:41 time: 0.8396 data_time: 0.0143 memory: 19925 grad_norm: 3.9110 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3785 loss: 1.3785 2022/08/10 23:02:15 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 2.0000e-02 eta: 15:12:23 time: 0.8336 data_time: 0.0183 memory: 19925 grad_norm: 3.8824 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7308 loss: 1.7308 2022/08/10 23:02:32 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 2.0000e-02 eta: 15:12:04 time: 0.8345 data_time: 0.0175 memory: 19925 grad_norm: 3.8365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6588 loss: 1.6588 2022/08/10 23:02:48 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 2.0000e-02 eta: 15:11:45 time: 0.8281 data_time: 0.0182 memory: 19925 grad_norm: 3.7856 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5409 loss: 1.5409 2022/08/10 23:03:05 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 2.0000e-02 eta: 15:11:27 time: 0.8305 data_time: 0.0196 memory: 19925 grad_norm: 3.8471 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6753 loss: 1.6753 2022/08/10 23:03:21 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 2.0000e-02 eta: 15:11:08 time: 0.8341 data_time: 0.0175 memory: 19925 grad_norm: 3.7784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5559 loss: 1.5559 2022/08/10 23:03:38 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 2.0000e-02 eta: 15:10:49 time: 0.8299 data_time: 0.0179 memory: 19925 grad_norm: 3.8081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6427 loss: 1.6427 2022/08/10 23:03:55 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 2.0000e-02 eta: 15:10:31 time: 0.8295 data_time: 0.0193 memory: 19925 grad_norm: 3.7736 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/08/10 23:04:11 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 2.0000e-02 eta: 15:10:12 time: 0.8309 data_time: 0.0193 memory: 19925 grad_norm: 3.8366 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5610 loss: 1.5610 2022/08/10 23:04:28 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 2.0000e-02 eta: 15:09:53 time: 0.8291 data_time: 0.0178 memory: 19925 grad_norm: 3.7716 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6640 loss: 1.6640 2022/08/10 23:04:45 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 2.0000e-02 eta: 15:09:35 time: 0.8342 data_time: 0.0178 memory: 19925 grad_norm: 3.7855 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5599 loss: 1.5599 2022/08/10 23:05:01 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 2.0000e-02 eta: 15:09:16 time: 0.8346 data_time: 0.0186 memory: 19925 grad_norm: 3.7138 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.7022 loss: 1.7022 2022/08/10 23:05:18 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 2.0000e-02 eta: 15:08:58 time: 0.8340 data_time: 0.0182 memory: 19925 grad_norm: 3.8205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/08/10 23:05:35 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 2.0000e-02 eta: 15:08:39 time: 0.8296 data_time: 0.0179 memory: 19925 grad_norm: 3.8532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6156 loss: 1.6156 2022/08/10 23:05:51 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 2.0000e-02 eta: 15:08:20 time: 0.8271 data_time: 0.0175 memory: 19925 grad_norm: 3.7603 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6808 loss: 1.6808 2022/08/10 23:06:08 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 2.0000e-02 eta: 15:08:01 time: 0.8264 data_time: 0.0189 memory: 19925 grad_norm: 3.8345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6287 loss: 1.6287 2022/08/10 23:06:24 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 2.0000e-02 eta: 15:07:43 time: 0.8344 data_time: 0.0192 memory: 19925 grad_norm: 3.8182 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/08/10 23:06:41 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 2.0000e-02 eta: 15:07:24 time: 0.8382 data_time: 0.0173 memory: 19925 grad_norm: 3.8556 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5997 loss: 1.5997 2022/08/10 23:06:58 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 2.0000e-02 eta: 15:07:06 time: 0.8279 data_time: 0.0182 memory: 19925 grad_norm: 3.8317 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7211 loss: 1.7211 2022/08/10 23:07:11 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 23:07:15 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 2.0000e-02 eta: 15:06:48 time: 0.8455 data_time: 0.0337 memory: 19925 grad_norm: 3.7565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3881 loss: 1.3881 2022/08/10 23:07:31 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 2.0000e-02 eta: 15:06:29 time: 0.8401 data_time: 0.0242 memory: 19925 grad_norm: 3.8819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6288 loss: 1.6288 2022/08/10 23:07:48 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 2.0000e-02 eta: 15:06:11 time: 0.8317 data_time: 0.0171 memory: 19925 grad_norm: 3.7960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5017 loss: 1.5017 2022/08/10 23:08:06 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 2.0000e-02 eta: 15:05:54 time: 0.8887 data_time: 0.0181 memory: 19925 grad_norm: 3.9250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5313 loss: 1.5313 2022/08/10 23:08:22 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 2.0000e-02 eta: 15:05:36 time: 0.8353 data_time: 0.0179 memory: 19925 grad_norm: 3.7702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4087 loss: 1.4087 2022/08/10 23:08:39 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 2.0000e-02 eta: 15:05:17 time: 0.8341 data_time: 0.0175 memory: 19925 grad_norm: 3.7987 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5603 loss: 1.5603 2022/08/10 23:08:56 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 2.0000e-02 eta: 15:04:59 time: 0.8303 data_time: 0.0194 memory: 19925 grad_norm: 3.7745 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8110 loss: 1.8110 2022/08/10 23:09:12 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 2.0000e-02 eta: 15:04:40 time: 0.8276 data_time: 0.0175 memory: 19925 grad_norm: 3.8502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/10 23:09:29 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 2.0000e-02 eta: 15:04:21 time: 0.8266 data_time: 0.0187 memory: 19925 grad_norm: 3.8470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6499 loss: 1.6499 2022/08/10 23:09:45 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 2.0000e-02 eta: 15:04:02 time: 0.8278 data_time: 0.0182 memory: 19925 grad_norm: 3.8753 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7449 loss: 1.7449 2022/08/10 23:10:02 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 2.0000e-02 eta: 15:03:44 time: 0.8328 data_time: 0.0267 memory: 19925 grad_norm: 3.8302 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4444 loss: 1.4444 2022/08/10 23:10:20 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 2.0000e-02 eta: 15:03:28 time: 0.8891 data_time: 0.0695 memory: 19925 grad_norm: 3.8163 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4880 loss: 1.4880 2022/08/10 23:10:37 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 2.0000e-02 eta: 15:03:10 time: 0.8514 data_time: 0.0236 memory: 19925 grad_norm: 3.8144 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6805 loss: 1.6805 2022/08/10 23:10:54 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 2.0000e-02 eta: 15:02:51 time: 0.8376 data_time: 0.0253 memory: 19925 grad_norm: 3.9116 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6512 loss: 1.6512 2022/08/10 23:11:10 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 2.0000e-02 eta: 15:02:33 time: 0.8304 data_time: 0.0191 memory: 19925 grad_norm: 3.8985 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7257 loss: 1.7257 2022/08/10 23:11:27 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 2.0000e-02 eta: 15:02:14 time: 0.8295 data_time: 0.0185 memory: 19925 grad_norm: 3.7674 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5332 loss: 1.5332 2022/08/10 23:11:43 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 2.0000e-02 eta: 15:01:56 time: 0.8311 data_time: 0.0172 memory: 19925 grad_norm: 3.7241 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6156 loss: 1.6156 2022/08/10 23:12:00 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 2.0000e-02 eta: 15:01:37 time: 0.8276 data_time: 0.0179 memory: 19925 grad_norm: 3.7407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/08/10 23:12:17 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 2.0000e-02 eta: 15:01:18 time: 0.8311 data_time: 0.0181 memory: 19925 grad_norm: 3.8844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/08/10 23:12:33 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 2.0000e-02 eta: 15:00:59 time: 0.8249 data_time: 0.0179 memory: 19925 grad_norm: 3.8160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6871 loss: 1.6871 2022/08/10 23:12:50 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 2.0000e-02 eta: 15:00:41 time: 0.8290 data_time: 0.0189 memory: 19925 grad_norm: 3.7912 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3613 loss: 1.3613 2022/08/10 23:13:06 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 2.0000e-02 eta: 15:00:22 time: 0.8355 data_time: 0.0179 memory: 19925 grad_norm: 3.7497 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6421 loss: 1.6421 2022/08/10 23:13:23 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 2.0000e-02 eta: 15:00:04 time: 0.8321 data_time: 0.0171 memory: 19925 grad_norm: 3.8659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5378 loss: 1.5378 2022/08/10 23:13:40 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 2.0000e-02 eta: 14:59:45 time: 0.8294 data_time: 0.0178 memory: 19925 grad_norm: 3.7712 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5433 loss: 1.5433 2022/08/10 23:13:56 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 2.0000e-02 eta: 14:59:26 time: 0.8314 data_time: 0.0190 memory: 19925 grad_norm: 3.7832 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5097 loss: 1.5097 2022/08/10 23:14:13 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 2.0000e-02 eta: 14:59:08 time: 0.8289 data_time: 0.0197 memory: 19925 grad_norm: 3.8394 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7040 loss: 1.7040 2022/08/10 23:14:30 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 2.0000e-02 eta: 14:58:49 time: 0.8320 data_time: 0.0180 memory: 19925 grad_norm: 3.6839 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/08/10 23:14:46 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 2.0000e-02 eta: 14:58:31 time: 0.8323 data_time: 0.0183 memory: 19925 grad_norm: 3.8089 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7299 loss: 1.7299 2022/08/10 23:15:03 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 2.0000e-02 eta: 14:58:12 time: 0.8262 data_time: 0.0183 memory: 19925 grad_norm: 3.6426 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4882 loss: 1.4882 2022/08/10 23:15:20 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 2.0000e-02 eta: 14:57:54 time: 0.8491 data_time: 0.0268 memory: 19925 grad_norm: 3.7032 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7327 loss: 1.7327 2022/08/10 23:15:37 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 2.0000e-02 eta: 14:57:36 time: 0.8400 data_time: 0.0169 memory: 19925 grad_norm: 3.9251 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6628 loss: 1.6628 2022/08/10 23:15:53 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 2.0000e-02 eta: 14:57:17 time: 0.8340 data_time: 0.0196 memory: 19925 grad_norm: 3.8836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6105 loss: 1.6105 2022/08/10 23:16:10 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 2.0000e-02 eta: 14:56:59 time: 0.8270 data_time: 0.0193 memory: 19925 grad_norm: 3.6750 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7145 loss: 1.7145 2022/08/10 23:16:26 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 2.0000e-02 eta: 14:56:40 time: 0.8261 data_time: 0.0184 memory: 19925 grad_norm: 3.8171 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5878 loss: 1.5878 2022/08/10 23:16:43 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 2.0000e-02 eta: 14:56:21 time: 0.8292 data_time: 0.0198 memory: 19925 grad_norm: 3.8081 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7445 loss: 1.7445 2022/08/10 23:16:59 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 2.0000e-02 eta: 14:56:03 time: 0.8273 data_time: 0.0185 memory: 19925 grad_norm: 3.7837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8564 loss: 1.8564 2022/08/10 23:17:16 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 2.0000e-02 eta: 14:55:44 time: 0.8268 data_time: 0.0183 memory: 19925 grad_norm: 3.8669 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8791 loss: 1.8791 2022/08/10 23:17:33 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 2.0000e-02 eta: 14:55:25 time: 0.8291 data_time: 0.0178 memory: 19925 grad_norm: 3.8069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7468 loss: 1.7468 2022/08/10 23:17:51 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 2.0000e-02 eta: 14:55:07 time: 0.8325 data_time: 0.0180 memory: 19925 grad_norm: 3.7884 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4683 loss: 1.4683 2022/08/10 23:18:08 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 2.0000e-02 eta: 14:54:52 time: 0.9173 data_time: 0.1043 memory: 19925 grad_norm: 3.7956 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6209 loss: 1.6209 2022/08/10 23:18:24 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 2.0000e-02 eta: 14:54:33 time: 0.8294 data_time: 0.0174 memory: 19925 grad_norm: 3.7190 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5210 loss: 1.5210 2022/08/10 23:18:41 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 2.0000e-02 eta: 14:54:14 time: 0.8313 data_time: 0.0182 memory: 19925 grad_norm: 3.8513 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5145 loss: 1.5145 2022/08/10 23:18:57 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 2.0000e-02 eta: 14:53:56 time: 0.8270 data_time: 0.0181 memory: 19925 grad_norm: 3.8134 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7761 loss: 1.7761 2022/08/10 23:19:14 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 2.0000e-02 eta: 14:53:37 time: 0.8256 data_time: 0.0182 memory: 19925 grad_norm: 3.8094 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7323 loss: 1.7323 2022/08/10 23:19:30 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 2.0000e-02 eta: 14:53:18 time: 0.8318 data_time: 0.0175 memory: 19925 grad_norm: 3.8257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5028 loss: 1.5028 2022/08/10 23:19:47 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 2.0000e-02 eta: 14:53:00 time: 0.8268 data_time: 0.0173 memory: 19925 grad_norm: 3.7971 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5827 loss: 1.5827 2022/08/10 23:20:04 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 2.0000e-02 eta: 14:52:41 time: 0.8282 data_time: 0.0195 memory: 19925 grad_norm: 3.7782 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/08/10 23:20:19 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 23:20:19 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 2.0000e-02 eta: 14:52:41 time: 0.8281 data_time: 0.0301 memory: 19925 grad_norm: 3.9340 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5767 loss: 1.5767 2022/08/10 23:20:34 - mmengine - INFO - Epoch(val) [17][20/155] eta: 0:01:36 time: 0.7116 data_time: 0.4766 memory: 2570 2022/08/10 23:20:42 - mmengine - INFO - Epoch(val) [17][40/155] eta: 0:00:49 time: 0.4344 data_time: 0.2014 memory: 2570 2022/08/10 23:20:53 - mmengine - INFO - Epoch(val) [17][60/155] eta: 0:00:52 time: 0.5566 data_time: 0.3244 memory: 2570 2022/08/10 23:21:03 - mmengine - INFO - Epoch(val) [17][80/155] eta: 0:00:34 time: 0.4615 data_time: 0.2297 memory: 2570 2022/08/10 23:21:14 - mmengine - INFO - Epoch(val) [17][100/155] eta: 0:00:30 time: 0.5457 data_time: 0.3133 memory: 2570 2022/08/10 23:21:21 - mmengine - INFO - Epoch(val) [17][120/155] eta: 0:00:13 time: 0.3908 data_time: 0.1596 memory: 2570 2022/08/10 23:21:33 - mmengine - INFO - Epoch(val) [17][140/155] eta: 0:00:08 time: 0.5867 data_time: 0.3560 memory: 2570 2022/08/10 23:21:57 - mmengine - INFO - Epoch(val) [17][155/155] acc/top1: 0.6090 acc/top5: 0.8367 acc/mean1: 0.6089 2022/08/10 23:21:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/08/10 23:21:58 - mmengine - INFO - The best checkpoint with 0.6090 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/08/10 23:22:19 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 2.0000e-02 eta: 14:51:42 time: 1.0373 data_time: 0.2062 memory: 19925 grad_norm: 3.8035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4845 loss: 1.4845 2022/08/10 23:22:36 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 2.0000e-02 eta: 14:51:24 time: 0.8319 data_time: 0.0173 memory: 19925 grad_norm: 3.8802 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5716 loss: 1.5716 2022/08/10 23:22:50 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 23:22:52 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 2.0000e-02 eta: 14:51:05 time: 0.8269 data_time: 0.0186 memory: 19925 grad_norm: 3.8120 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6579 loss: 1.6579 2022/08/10 23:23:09 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 2.0000e-02 eta: 14:50:47 time: 0.8305 data_time: 0.0175 memory: 19925 grad_norm: 3.8182 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4576 loss: 1.4576 2022/08/10 23:23:25 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 2.0000e-02 eta: 14:50:28 time: 0.8310 data_time: 0.0198 memory: 19925 grad_norm: 3.8386 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6034 loss: 1.6034 2022/08/10 23:23:42 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 2.0000e-02 eta: 14:50:10 time: 0.8310 data_time: 0.0186 memory: 19925 grad_norm: 3.8280 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4765 loss: 1.4765 2022/08/10 23:23:59 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 2.0000e-02 eta: 14:49:51 time: 0.8327 data_time: 0.0173 memory: 19925 grad_norm: 3.6773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6388 loss: 1.6388 2022/08/10 23:24:15 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 2.0000e-02 eta: 14:49:33 time: 0.8239 data_time: 0.0177 memory: 19925 grad_norm: 3.8347 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6920 loss: 1.6920 2022/08/10 23:24:32 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 2.0000e-02 eta: 14:49:14 time: 0.8249 data_time: 0.0174 memory: 19925 grad_norm: 3.7362 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5131 loss: 1.5131 2022/08/10 23:24:48 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 2.0000e-02 eta: 14:48:55 time: 0.8300 data_time: 0.0180 memory: 19925 grad_norm: 3.8074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7424 loss: 1.7424 2022/08/10 23:25:05 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 2.0000e-02 eta: 14:48:37 time: 0.8293 data_time: 0.0196 memory: 19925 grad_norm: 3.8269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6968 loss: 1.6968 2022/08/10 23:25:22 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 2.0000e-02 eta: 14:48:20 time: 0.8647 data_time: 0.0522 memory: 19925 grad_norm: 3.7452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5232 loss: 1.5232 2022/08/10 23:25:39 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 2.0000e-02 eta: 14:48:01 time: 0.8339 data_time: 0.0177 memory: 19925 grad_norm: 3.7669 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5603 loss: 1.5603 2022/08/10 23:25:56 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 2.0000e-02 eta: 14:47:43 time: 0.8350 data_time: 0.0174 memory: 19925 grad_norm: 3.8136 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4130 loss: 1.4130 2022/08/10 23:26:12 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 2.0000e-02 eta: 14:47:24 time: 0.8316 data_time: 0.0163 memory: 19925 grad_norm: 3.7711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6399 loss: 1.6399 2022/08/10 23:26:29 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 2.0000e-02 eta: 14:47:06 time: 0.8310 data_time: 0.0161 memory: 19925 grad_norm: 3.7997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4549 loss: 1.4549 2022/08/10 23:26:45 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 2.0000e-02 eta: 14:46:47 time: 0.8280 data_time: 0.0178 memory: 19925 grad_norm: 3.7519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5569 loss: 1.5569 2022/08/10 23:27:02 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 2.0000e-02 eta: 14:46:29 time: 0.8286 data_time: 0.0178 memory: 19925 grad_norm: 3.7574 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6242 loss: 1.6242 2022/08/10 23:27:19 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 2.0000e-02 eta: 14:46:10 time: 0.8309 data_time: 0.0183 memory: 19925 grad_norm: 3.7946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5087 loss: 1.5087 2022/08/10 23:27:35 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 2.0000e-02 eta: 14:45:52 time: 0.8304 data_time: 0.0170 memory: 19925 grad_norm: 3.8238 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7582 loss: 1.7582 2022/08/10 23:27:54 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 2.0000e-02 eta: 14:45:37 time: 0.9236 data_time: 0.0169 memory: 19925 grad_norm: 3.8010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6172 loss: 1.6172 2022/08/10 23:28:10 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 2.0000e-02 eta: 14:45:19 time: 0.8347 data_time: 0.0176 memory: 19925 grad_norm: 3.7891 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3972 loss: 1.3972 2022/08/10 23:28:27 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 2.0000e-02 eta: 14:45:00 time: 0.8343 data_time: 0.0184 memory: 19925 grad_norm: 3.8775 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4976 loss: 1.4976 2022/08/10 23:28:44 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 2.0000e-02 eta: 14:44:42 time: 0.8313 data_time: 0.0184 memory: 19925 grad_norm: 3.8450 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4934 loss: 1.4934 2022/08/10 23:29:00 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 2.0000e-02 eta: 14:44:23 time: 0.8329 data_time: 0.0176 memory: 19925 grad_norm: 3.8034 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/08/10 23:29:17 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 2.0000e-02 eta: 14:44:05 time: 0.8344 data_time: 0.0182 memory: 19925 grad_norm: 3.8653 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6605 loss: 1.6605 2022/08/10 23:29:34 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 2.0000e-02 eta: 14:43:46 time: 0.8279 data_time: 0.0181 memory: 19925 grad_norm: 3.7437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6599 loss: 1.6599 2022/08/10 23:29:50 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 2.0000e-02 eta: 14:43:28 time: 0.8317 data_time: 0.0179 memory: 19925 grad_norm: 3.7833 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4996 loss: 1.4996 2022/08/10 23:30:07 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 2.0000e-02 eta: 14:43:10 time: 0.8336 data_time: 0.0199 memory: 19925 grad_norm: 3.8219 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4440 loss: 1.4440 2022/08/10 23:30:24 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 2.0000e-02 eta: 14:42:52 time: 0.8463 data_time: 0.0341 memory: 19925 grad_norm: 3.7420 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7430 loss: 1.7430 2022/08/10 23:30:41 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 2.0000e-02 eta: 14:42:33 time: 0.8312 data_time: 0.0177 memory: 19925 grad_norm: 3.8325 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4272 loss: 1.4272 2022/08/10 23:30:57 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 2.0000e-02 eta: 14:42:15 time: 0.8312 data_time: 0.0191 memory: 19925 grad_norm: 3.7929 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5809 loss: 1.5809 2022/08/10 23:31:14 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 2.0000e-02 eta: 14:41:56 time: 0.8282 data_time: 0.0187 memory: 19925 grad_norm: 3.6954 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4487 loss: 1.4487 2022/08/10 23:31:30 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 2.0000e-02 eta: 14:41:38 time: 0.8293 data_time: 0.0164 memory: 19925 grad_norm: 3.7568 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5210 loss: 1.5210 2022/08/10 23:31:47 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 2.0000e-02 eta: 14:41:20 time: 0.8334 data_time: 0.0177 memory: 19925 grad_norm: 3.8380 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4264 loss: 1.4264 2022/08/10 23:32:04 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 2.0000e-02 eta: 14:41:01 time: 0.8347 data_time: 0.0172 memory: 19925 grad_norm: 3.8412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6183 loss: 1.6183 2022/08/10 23:32:20 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 2.0000e-02 eta: 14:40:43 time: 0.8375 data_time: 0.0170 memory: 19925 grad_norm: 3.8298 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5397 loss: 1.5397 2022/08/10 23:32:37 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 2.0000e-02 eta: 14:40:25 time: 0.8375 data_time: 0.0190 memory: 19925 grad_norm: 3.8301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/10 23:32:54 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 2.0000e-02 eta: 14:40:06 time: 0.8321 data_time: 0.0158 memory: 19925 grad_norm: 3.8654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5772 loss: 1.5772 2022/08/10 23:33:11 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 2.0000e-02 eta: 14:39:48 time: 0.8330 data_time: 0.0178 memory: 19925 grad_norm: 3.8531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/08/10 23:33:27 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 2.0000e-02 eta: 14:39:30 time: 0.8355 data_time: 0.0192 memory: 19925 grad_norm: 3.7730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4669 loss: 1.4669 2022/08/10 23:33:44 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 2.0000e-02 eta: 14:39:12 time: 0.8343 data_time: 0.0176 memory: 19925 grad_norm: 3.8944 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5367 loss: 1.5367 2022/08/10 23:34:01 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 2.0000e-02 eta: 14:38:53 time: 0.8343 data_time: 0.0188 memory: 19925 grad_norm: 3.8044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6530 loss: 1.6530 2022/08/10 23:34:17 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 2.0000e-02 eta: 14:38:35 time: 0.8353 data_time: 0.0177 memory: 19925 grad_norm: 3.7957 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7913 loss: 1.7913 2022/08/10 23:34:34 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 2.0000e-02 eta: 14:38:17 time: 0.8315 data_time: 0.0180 memory: 19925 grad_norm: 3.7528 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5579 loss: 1.5579 2022/08/10 23:34:51 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 2.0000e-02 eta: 14:37:58 time: 0.8324 data_time: 0.0177 memory: 19925 grad_norm: 3.7584 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6888 loss: 1.6888 2022/08/10 23:35:08 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 2.0000e-02 eta: 14:37:40 time: 0.8457 data_time: 0.0191 memory: 19925 grad_norm: 3.7975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4449 loss: 1.4449 2022/08/10 23:35:24 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 2.0000e-02 eta: 14:37:22 time: 0.8419 data_time: 0.0239 memory: 19925 grad_norm: 3.8895 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5120 loss: 1.5120 2022/08/10 23:35:41 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 2.0000e-02 eta: 14:37:04 time: 0.8324 data_time: 0.0150 memory: 19925 grad_norm: 3.8586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5196 loss: 1.5196 2022/08/10 23:35:58 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 2.0000e-02 eta: 14:36:46 time: 0.8396 data_time: 0.0247 memory: 19925 grad_norm: 3.7064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/08/10 23:36:15 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 2.0000e-02 eta: 14:36:28 time: 0.8334 data_time: 0.0168 memory: 19925 grad_norm: 3.7446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6927 loss: 1.6927 2022/08/10 23:36:31 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 2.0000e-02 eta: 14:36:09 time: 0.8303 data_time: 0.0167 memory: 19925 grad_norm: 3.8578 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5004 loss: 1.5004 2022/08/10 23:36:45 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 23:36:48 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 2.0000e-02 eta: 14:35:51 time: 0.8321 data_time: 0.0185 memory: 19925 grad_norm: 3.7570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7309 loss: 1.7309 2022/08/10 23:37:04 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 2.0000e-02 eta: 14:35:32 time: 0.8308 data_time: 0.0180 memory: 19925 grad_norm: 3.8024 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8013 loss: 1.8013 2022/08/10 23:37:21 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 2.0000e-02 eta: 14:35:14 time: 0.8422 data_time: 0.0182 memory: 19925 grad_norm: 3.9557 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6792 loss: 1.6792 2022/08/10 23:37:38 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 2.0000e-02 eta: 14:34:56 time: 0.8355 data_time: 0.0199 memory: 19925 grad_norm: 3.7378 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6089 loss: 1.6089 2022/08/10 23:37:56 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 2.0000e-02 eta: 14:34:41 time: 0.9170 data_time: 0.0161 memory: 19925 grad_norm: 3.7443 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5638 loss: 1.5638 2022/08/10 23:38:13 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 2.0000e-02 eta: 14:34:23 time: 0.8396 data_time: 0.0178 memory: 19925 grad_norm: 3.8007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6445 loss: 1.6445 2022/08/10 23:38:30 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 2.0000e-02 eta: 14:34:05 time: 0.8351 data_time: 0.0178 memory: 19925 grad_norm: 3.8820 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7770 loss: 1.7770 2022/08/10 23:38:47 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 2.0000e-02 eta: 14:33:46 time: 0.8359 data_time: 0.0185 memory: 19925 grad_norm: 3.8806 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6221 loss: 1.6221 2022/08/10 23:39:03 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 2.0000e-02 eta: 14:33:28 time: 0.8362 data_time: 0.0180 memory: 19925 grad_norm: 3.8401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/08/10 23:39:20 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 2.0000e-02 eta: 14:33:10 time: 0.8420 data_time: 0.0193 memory: 19925 grad_norm: 3.7257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5539 loss: 1.5539 2022/08/10 23:39:37 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 2.0000e-02 eta: 14:32:52 time: 0.8322 data_time: 0.0171 memory: 19925 grad_norm: 3.8202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7163 loss: 1.7163 2022/08/10 23:39:53 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 2.0000e-02 eta: 14:32:34 time: 0.8326 data_time: 0.0185 memory: 19925 grad_norm: 3.7415 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5049 loss: 1.5049 2022/08/10 23:40:10 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 2.0000e-02 eta: 14:32:16 time: 0.8419 data_time: 0.0149 memory: 19925 grad_norm: 3.7659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6683 loss: 1.6683 2022/08/10 23:40:27 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 2.0000e-02 eta: 14:31:58 time: 0.8462 data_time: 0.0249 memory: 19925 grad_norm: 3.8948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6226 loss: 1.6226 2022/08/10 23:40:44 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 2.0000e-02 eta: 14:31:39 time: 0.8299 data_time: 0.0165 memory: 19925 grad_norm: 3.7760 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5853 loss: 1.5853 2022/08/10 23:41:00 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 2.0000e-02 eta: 14:31:21 time: 0.8297 data_time: 0.0168 memory: 19925 grad_norm: 3.7913 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4093 loss: 1.4093 2022/08/10 23:41:17 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 2.0000e-02 eta: 14:31:03 time: 0.8347 data_time: 0.0189 memory: 19925 grad_norm: 3.8850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/08/10 23:41:35 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 2.0000e-02 eta: 14:30:46 time: 0.8804 data_time: 0.0174 memory: 19925 grad_norm: 3.7163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/08/10 23:41:51 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 2.0000e-02 eta: 14:30:28 time: 0.8384 data_time: 0.0193 memory: 19925 grad_norm: 3.7827 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5360 loss: 1.5360 2022/08/10 23:42:09 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 2.0000e-02 eta: 14:30:11 time: 0.8698 data_time: 0.0471 memory: 19925 grad_norm: 3.7278 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5899 loss: 1.5899 2022/08/10 23:42:27 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 2.0000e-02 eta: 14:29:55 time: 0.9017 data_time: 0.0160 memory: 19925 grad_norm: 3.8792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6063 loss: 1.6063 2022/08/10 23:42:44 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 2.0000e-02 eta: 14:29:37 time: 0.8320 data_time: 0.0175 memory: 19925 grad_norm: 3.7666 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6658 loss: 1.6658 2022/08/10 23:43:00 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 2.0000e-02 eta: 14:29:19 time: 0.8398 data_time: 0.0237 memory: 19925 grad_norm: 3.8537 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7654 loss: 1.7654 2022/08/10 23:43:17 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 2.0000e-02 eta: 14:29:01 time: 0.8333 data_time: 0.0210 memory: 19925 grad_norm: 3.8560 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/08/10 23:43:34 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 2.0000e-02 eta: 14:28:44 time: 0.8671 data_time: 0.0159 memory: 19925 grad_norm: 3.8183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6932 loss: 1.6932 2022/08/10 23:43:51 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 2.0000e-02 eta: 14:28:25 time: 0.8353 data_time: 0.0165 memory: 19925 grad_norm: 3.7722 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7474 loss: 1.7474 2022/08/10 23:44:08 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 2.0000e-02 eta: 14:28:07 time: 0.8358 data_time: 0.0179 memory: 19925 grad_norm: 3.7231 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6093 loss: 1.6093 2022/08/10 23:44:24 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 2.0000e-02 eta: 14:27:49 time: 0.8318 data_time: 0.0189 memory: 19925 grad_norm: 3.8075 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7943 loss: 1.7943 2022/08/10 23:44:41 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 2.0000e-02 eta: 14:27:31 time: 0.8324 data_time: 0.0171 memory: 19925 grad_norm: 3.8155 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/08/10 23:44:58 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 2.0000e-02 eta: 14:27:12 time: 0.8317 data_time: 0.0193 memory: 19925 grad_norm: 3.8347 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7113 loss: 1.7113 2022/08/10 23:45:15 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 2.0000e-02 eta: 14:26:55 time: 0.8684 data_time: 0.0206 memory: 19925 grad_norm: 3.8747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6119 loss: 1.6119 2022/08/10 23:45:32 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 2.0000e-02 eta: 14:26:37 time: 0.8417 data_time: 0.0198 memory: 19925 grad_norm: 3.8023 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3931 loss: 1.3931 2022/08/10 23:45:49 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 2.0000e-02 eta: 14:26:19 time: 0.8336 data_time: 0.0156 memory: 19925 grad_norm: 3.9459 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/10 23:46:05 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 2.0000e-02 eta: 14:26:01 time: 0.8340 data_time: 0.0192 memory: 19925 grad_norm: 3.7317 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6671 loss: 1.6671 2022/08/10 23:46:22 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 2.0000e-02 eta: 14:25:43 time: 0.8372 data_time: 0.0171 memory: 19925 grad_norm: 3.8510 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7579 loss: 1.7579 2022/08/10 23:46:39 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 2.0000e-02 eta: 14:25:25 time: 0.8361 data_time: 0.0169 memory: 19925 grad_norm: 3.8019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6911 loss: 1.6911 2022/08/10 23:46:55 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 2.0000e-02 eta: 14:25:06 time: 0.8358 data_time: 0.0176 memory: 19925 grad_norm: 3.8200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4701 loss: 1.4701 2022/08/10 23:47:12 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 2.0000e-02 eta: 14:24:48 time: 0.8419 data_time: 0.0181 memory: 19925 grad_norm: 3.8580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7002 loss: 1.7002 2022/08/10 23:47:29 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 2.0000e-02 eta: 14:24:30 time: 0.8347 data_time: 0.0160 memory: 19925 grad_norm: 3.6908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5503 loss: 1.5503 2022/08/10 23:47:46 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 2.0000e-02 eta: 14:24:12 time: 0.8351 data_time: 0.0197 memory: 19925 grad_norm: 3.8312 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5448 loss: 1.5448 2022/08/10 23:48:04 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 2.0000e-02 eta: 14:23:56 time: 0.9101 data_time: 0.0166 memory: 19925 grad_norm: 3.9118 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7427 loss: 1.7427 2022/08/10 23:48:20 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 23:48:20 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 2.0000e-02 eta: 14:23:56 time: 0.8290 data_time: 0.0170 memory: 19925 grad_norm: 3.9257 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6131 loss: 1.6131 2022/08/10 23:48:20 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/10 23:48:42 - mmengine - INFO - Epoch(val) [18][20/155] eta: 0:02:19 time: 1.0310 data_time: 0.7992 memory: 2570 2022/08/10 23:48:49 - mmengine - INFO - Epoch(val) [18][40/155] eta: 0:00:38 time: 0.3341 data_time: 0.1037 memory: 2570 2022/08/10 23:49:03 - mmengine - INFO - Epoch(val) [18][60/155] eta: 0:01:06 time: 0.6979 data_time: 0.4699 memory: 2570 2022/08/10 23:49:12 - mmengine - INFO - Epoch(val) [18][80/155] eta: 0:00:35 time: 0.4716 data_time: 0.2408 memory: 2570 2022/08/10 23:49:28 - mmengine - INFO - Epoch(val) [18][100/155] eta: 0:00:44 time: 0.8036 data_time: 0.5749 memory: 2570 2022/08/10 23:49:44 - mmengine - INFO - Epoch(val) [18][120/155] eta: 0:00:27 time: 0.7938 data_time: 0.5642 memory: 2570 2022/08/10 23:50:01 - mmengine - INFO - Epoch(val) [18][140/155] eta: 0:00:12 time: 0.8117 data_time: 0.5824 memory: 2570 2022/08/10 23:50:20 - mmengine - INFO - Epoch(val) [18][155/155] acc/top1: 0.6082 acc/top5: 0.8399 acc/mean1: 0.6080 2022/08/10 23:50:45 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 2.0000e-02 eta: 14:23:07 time: 1.2246 data_time: 0.2683 memory: 19925 grad_norm: 3.7087 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6361 loss: 1.6361 2022/08/10 23:51:02 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 2.0000e-02 eta: 14:22:49 time: 0.8360 data_time: 0.0170 memory: 19925 grad_norm: 3.7201 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5260 loss: 1.5260 2022/08/10 23:51:18 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 2.0000e-02 eta: 14:22:30 time: 0.8354 data_time: 0.0185 memory: 19925 grad_norm: 3.7874 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4511 loss: 1.4511 2022/08/10 23:51:35 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 2.0000e-02 eta: 14:22:12 time: 0.8315 data_time: 0.0161 memory: 19925 grad_norm: 3.9087 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5645 loss: 1.5645 2022/08/10 23:51:52 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 2.0000e-02 eta: 14:21:54 time: 0.8311 data_time: 0.0159 memory: 19925 grad_norm: 3.7543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5630 loss: 1.5630 2022/08/10 23:52:08 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 2.0000e-02 eta: 14:21:36 time: 0.8372 data_time: 0.0161 memory: 19925 grad_norm: 3.8349 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3844 loss: 1.3844 2022/08/10 23:52:25 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 2.0000e-02 eta: 14:21:18 time: 0.8361 data_time: 0.0172 memory: 19925 grad_norm: 3.8028 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5508 loss: 1.5508 2022/08/10 23:52:42 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 2.0000e-02 eta: 14:20:59 time: 0.8308 data_time: 0.0171 memory: 19925 grad_norm: 3.7709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4518 loss: 1.4518 2022/08/10 23:52:57 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/10 23:52:58 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 2.0000e-02 eta: 14:20:41 time: 0.8338 data_time: 0.0170 memory: 19925 grad_norm: 3.7730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/10 23:53:15 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 2.0000e-02 eta: 14:20:23 time: 0.8310 data_time: 0.0171 memory: 19925 grad_norm: 3.7944 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6073 loss: 1.6073 2022/08/10 23:53:32 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 2.0000e-02 eta: 14:20:05 time: 0.8329 data_time: 0.0171 memory: 19925 grad_norm: 3.7435 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7817 loss: 1.7817 2022/08/10 23:53:48 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 2.0000e-02 eta: 14:19:46 time: 0.8288 data_time: 0.0172 memory: 19925 grad_norm: 3.7718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5291 loss: 1.5291 2022/08/10 23:54:05 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 2.0000e-02 eta: 14:19:28 time: 0.8311 data_time: 0.0180 memory: 19925 grad_norm: 3.8112 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6353 loss: 1.6353 2022/08/10 23:54:22 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 2.0000e-02 eta: 14:19:10 time: 0.8389 data_time: 0.0175 memory: 19925 grad_norm: 3.8308 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5791 loss: 1.5791 2022/08/10 23:54:38 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 2.0000e-02 eta: 14:18:51 time: 0.8297 data_time: 0.0174 memory: 19925 grad_norm: 3.9490 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4391 loss: 1.4391 2022/08/10 23:54:55 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 2.0000e-02 eta: 14:18:33 time: 0.8352 data_time: 0.0172 memory: 19925 grad_norm: 3.8071 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5465 loss: 1.5465 2022/08/10 23:55:12 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 2.0000e-02 eta: 14:18:16 time: 0.8534 data_time: 0.0227 memory: 19925 grad_norm: 3.8068 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6550 loss: 1.6550 2022/08/10 23:55:29 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 2.0000e-02 eta: 14:17:58 time: 0.8355 data_time: 0.0156 memory: 19925 grad_norm: 3.7974 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6532 loss: 1.6532 2022/08/10 23:55:45 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 2.0000e-02 eta: 14:17:40 time: 0.8349 data_time: 0.0173 memory: 19925 grad_norm: 3.8009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5577 loss: 1.5577 2022/08/10 23:56:02 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 2.0000e-02 eta: 14:17:22 time: 0.8421 data_time: 0.0176 memory: 19925 grad_norm: 3.7783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5646 loss: 1.5646 2022/08/10 23:56:21 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 2.0000e-02 eta: 14:17:08 time: 0.9590 data_time: 0.0172 memory: 19925 grad_norm: 3.8938 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4892 loss: 1.4892 2022/08/10 23:56:38 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 2.0000e-02 eta: 14:16:50 time: 0.8339 data_time: 0.0166 memory: 19925 grad_norm: 3.7873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6339 loss: 1.6339 2022/08/10 23:56:55 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 2.0000e-02 eta: 14:16:32 time: 0.8389 data_time: 0.0163 memory: 19925 grad_norm: 3.8626 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8343 loss: 1.8343 2022/08/10 23:57:12 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 2.0000e-02 eta: 14:16:13 time: 0.8318 data_time: 0.0175 memory: 19925 grad_norm: 3.8907 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7020 loss: 1.7020 2022/08/10 23:57:28 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 2.0000e-02 eta: 14:15:55 time: 0.8384 data_time: 0.0186 memory: 19925 grad_norm: 3.8268 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7416 loss: 1.7416 2022/08/10 23:57:45 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 2.0000e-02 eta: 14:15:37 time: 0.8359 data_time: 0.0163 memory: 19925 grad_norm: 3.8187 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6170 loss: 1.6170 2022/08/10 23:58:04 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 2.0000e-02 eta: 14:15:22 time: 0.9302 data_time: 0.0166 memory: 19925 grad_norm: 3.8295 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7370 loss: 1.7370 2022/08/10 23:58:21 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 2.0000e-02 eta: 14:15:05 time: 0.8473 data_time: 0.0179 memory: 19925 grad_norm: 3.8421 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6471 loss: 1.6471 2022/08/10 23:58:37 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 2.0000e-02 eta: 14:14:47 time: 0.8407 data_time: 0.0253 memory: 19925 grad_norm: 3.8381 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5133 loss: 1.5133 2022/08/10 23:58:54 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 2.0000e-02 eta: 14:14:29 time: 0.8331 data_time: 0.0159 memory: 19925 grad_norm: 3.9426 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3528 loss: 1.3528 2022/08/10 23:59:11 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 2.0000e-02 eta: 14:14:10 time: 0.8338 data_time: 0.0183 memory: 19925 grad_norm: 3.8703 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3483 loss: 1.3483 2022/08/10 23:59:28 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 2.0000e-02 eta: 14:13:52 time: 0.8365 data_time: 0.0174 memory: 19925 grad_norm: 3.8100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6253 loss: 1.6253 2022/08/10 23:59:44 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 2.0000e-02 eta: 14:13:34 time: 0.8375 data_time: 0.0161 memory: 19925 grad_norm: 3.8577 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6261 loss: 1.6261 2022/08/11 00:00:01 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 2.0000e-02 eta: 14:13:16 time: 0.8331 data_time: 0.0165 memory: 19925 grad_norm: 3.8711 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3650 loss: 1.3650 2022/08/11 00:00:20 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 2.0000e-02 eta: 14:13:02 time: 0.9640 data_time: 0.0721 memory: 19925 grad_norm: 3.7967 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8149 loss: 1.8149 2022/08/11 00:00:40 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 2.0000e-02 eta: 14:12:50 time: 0.9905 data_time: 0.0192 memory: 19925 grad_norm: 3.7430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6129 loss: 1.6129 2022/08/11 00:00:57 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 2.0000e-02 eta: 14:12:32 time: 0.8358 data_time: 0.0170 memory: 19925 grad_norm: 3.7828 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6190 loss: 1.6190 2022/08/11 00:01:13 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 2.0000e-02 eta: 14:12:13 time: 0.8328 data_time: 0.0177 memory: 19925 grad_norm: 3.8727 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5854 loss: 1.5854 2022/08/11 00:01:33 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 2.0000e-02 eta: 14:12:00 time: 0.9651 data_time: 0.0184 memory: 19925 grad_norm: 3.7203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5925 loss: 1.5925 2022/08/11 00:01:50 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 2.0000e-02 eta: 14:11:42 time: 0.8385 data_time: 0.0168 memory: 19925 grad_norm: 3.7668 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4087 loss: 1.4087 2022/08/11 00:02:06 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 2.0000e-02 eta: 14:11:24 time: 0.8369 data_time: 0.0164 memory: 19925 grad_norm: 3.7555 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5534 loss: 1.5534 2022/08/11 00:02:23 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 2.0000e-02 eta: 14:11:06 time: 0.8384 data_time: 0.0170 memory: 19925 grad_norm: 3.7702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4949 loss: 1.4949 2022/08/11 00:02:40 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 2.0000e-02 eta: 14:10:47 time: 0.8349 data_time: 0.0178 memory: 19925 grad_norm: 3.9268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5890 loss: 1.5890 2022/08/11 00:02:56 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 2.0000e-02 eta: 14:10:29 time: 0.8318 data_time: 0.0168 memory: 19925 grad_norm: 3.8160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6116 loss: 1.6116 2022/08/11 00:03:14 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 2.0000e-02 eta: 14:10:13 time: 0.8783 data_time: 0.0229 memory: 19925 grad_norm: 3.8041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6212 loss: 1.6212 2022/08/11 00:03:31 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 2.0000e-02 eta: 14:09:55 time: 0.8511 data_time: 0.0290 memory: 19925 grad_norm: 3.7033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/08/11 00:03:48 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 2.0000e-02 eta: 14:09:37 time: 0.8389 data_time: 0.0201 memory: 19925 grad_norm: 3.7829 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6485 loss: 1.6485 2022/08/11 00:04:05 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 2.0000e-02 eta: 14:09:19 time: 0.8397 data_time: 0.0162 memory: 19925 grad_norm: 3.7496 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5710 loss: 1.5710 2022/08/11 00:04:30 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 2.0000e-02 eta: 14:09:16 time: 1.2658 data_time: 0.0174 memory: 19925 grad_norm: 3.9000 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6367 loss: 1.6367 2022/08/11 00:04:47 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 2.0000e-02 eta: 14:08:57 time: 0.8340 data_time: 0.0177 memory: 19925 grad_norm: 3.8357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5772 loss: 1.5772 2022/08/11 00:05:03 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 2.0000e-02 eta: 14:08:39 time: 0.8362 data_time: 0.0161 memory: 19925 grad_norm: 3.8378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8138 loss: 1.8138 2022/08/11 00:05:21 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 2.0000e-02 eta: 14:08:23 time: 0.9001 data_time: 0.0647 memory: 19925 grad_norm: 3.8217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3975 loss: 1.3975 2022/08/11 00:05:42 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 2.0000e-02 eta: 14:08:13 time: 1.0567 data_time: 0.0181 memory: 19925 grad_norm: 3.8497 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5254 loss: 1.5254 2022/08/11 00:06:02 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 2.0000e-02 eta: 14:07:59 time: 0.9629 data_time: 0.0160 memory: 19925 grad_norm: 3.7960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4844 loss: 1.4844 2022/08/11 00:06:19 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 2.0000e-02 eta: 14:07:41 time: 0.8406 data_time: 0.0178 memory: 19925 grad_norm: 3.9337 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8485 loss: 1.8485 2022/08/11 00:06:42 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 2.0000e-02 eta: 14:07:35 time: 1.1956 data_time: 0.0147 memory: 19925 grad_norm: 3.8923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4823 loss: 1.4823 2022/08/11 00:07:00 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 2.0000e-02 eta: 14:07:18 time: 0.8557 data_time: 0.0175 memory: 19925 grad_norm: 3.8839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6369 loss: 1.6369 2022/08/11 00:07:16 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 2.0000e-02 eta: 14:06:59 time: 0.8348 data_time: 0.0165 memory: 19925 grad_norm: 3.8301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5443 loss: 1.5443 2022/08/11 00:07:31 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 00:07:33 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 2.0000e-02 eta: 14:06:42 time: 0.8435 data_time: 0.0180 memory: 19925 grad_norm: 3.7675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4169 loss: 1.4169 2022/08/11 00:07:52 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 2.0000e-02 eta: 14:06:27 time: 0.9361 data_time: 0.0149 memory: 19925 grad_norm: 3.8393 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6391 loss: 1.6391 2022/08/11 00:08:19 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 2.0000e-02 eta: 14:06:26 time: 1.3438 data_time: 0.0210 memory: 19925 grad_norm: 3.7706 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4472 loss: 1.4472 2022/08/11 00:08:35 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 2.0000e-02 eta: 14:06:08 time: 0.8342 data_time: 0.0179 memory: 19925 grad_norm: 3.7386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5014 loss: 1.5014 2022/08/11 00:08:52 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 2.0000e-02 eta: 14:05:50 time: 0.8393 data_time: 0.0173 memory: 19925 grad_norm: 3.8823 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7404 loss: 1.7404 2022/08/11 00:09:12 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 2.0000e-02 eta: 14:05:37 time: 0.9837 data_time: 0.0167 memory: 19925 grad_norm: 3.9095 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4045 loss: 1.4045 2022/08/11 00:09:29 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 2.0000e-02 eta: 14:05:18 time: 0.8386 data_time: 0.0171 memory: 19925 grad_norm: 3.8509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/08/11 00:09:45 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 2.0000e-02 eta: 14:05:00 time: 0.8377 data_time: 0.0158 memory: 19925 grad_norm: 3.7975 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6906 loss: 1.6906 2022/08/11 00:10:02 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 2.0000e-02 eta: 14:04:42 time: 0.8411 data_time: 0.0185 memory: 19925 grad_norm: 3.8174 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7172 loss: 1.7172 2022/08/11 00:10:19 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 2.0000e-02 eta: 14:04:25 time: 0.8461 data_time: 0.0214 memory: 19925 grad_norm: 3.7773 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5899 loss: 1.5899 2022/08/11 00:10:38 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 2.0000e-02 eta: 14:04:09 time: 0.9196 data_time: 0.0913 memory: 19925 grad_norm: 3.9006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/08/11 00:10:54 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 2.0000e-02 eta: 14:03:51 time: 0.8394 data_time: 0.0196 memory: 19925 grad_norm: 3.7447 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6143 loss: 1.6143 2022/08/11 00:11:12 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 2.0000e-02 eta: 14:03:34 time: 0.8725 data_time: 0.0457 memory: 19925 grad_norm: 3.6852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5196 loss: 1.5196 2022/08/11 00:11:29 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 2.0000e-02 eta: 14:03:17 time: 0.8410 data_time: 0.0159 memory: 19925 grad_norm: 3.7762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4799 loss: 1.4799 2022/08/11 00:11:46 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 2.0000e-02 eta: 14:02:59 time: 0.8470 data_time: 0.0175 memory: 19925 grad_norm: 3.8459 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6291 loss: 1.6291 2022/08/11 00:12:02 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 2.0000e-02 eta: 14:02:41 time: 0.8424 data_time: 0.0262 memory: 19925 grad_norm: 3.7016 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4663 loss: 1.4663 2022/08/11 00:12:24 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 2.0000e-02 eta: 14:02:31 time: 1.0926 data_time: 0.0204 memory: 19925 grad_norm: 3.7268 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2784 loss: 1.2784 2022/08/11 00:12:44 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 2.0000e-02 eta: 14:02:18 time: 0.9807 data_time: 0.0140 memory: 19925 grad_norm: 3.8816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4824 loss: 1.4824 2022/08/11 00:13:01 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 2.0000e-02 eta: 14:02:00 time: 0.8379 data_time: 0.0183 memory: 19925 grad_norm: 3.7324 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6488 loss: 1.6488 2022/08/11 00:13:17 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 2.0000e-02 eta: 14:01:42 time: 0.8385 data_time: 0.0173 memory: 19925 grad_norm: 3.8584 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5369 loss: 1.5369 2022/08/11 00:13:34 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 2.0000e-02 eta: 14:01:24 time: 0.8459 data_time: 0.0180 memory: 19925 grad_norm: 3.7738 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5878 loss: 1.5878 2022/08/11 00:13:52 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 2.0000e-02 eta: 14:01:07 time: 0.8816 data_time: 0.0167 memory: 19925 grad_norm: 3.9030 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6763 loss: 1.6763 2022/08/11 00:14:14 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 2.0000e-02 eta: 14:00:57 time: 1.0795 data_time: 0.0240 memory: 19925 grad_norm: 3.8152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5042 loss: 1.5042 2022/08/11 00:14:36 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 2.0000e-02 eta: 14:00:48 time: 1.1085 data_time: 0.0175 memory: 19925 grad_norm: 3.8111 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7473 loss: 1.7473 2022/08/11 00:14:52 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 2.0000e-02 eta: 14:00:30 time: 0.8356 data_time: 0.0174 memory: 19925 grad_norm: 3.6827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5337 loss: 1.5337 2022/08/11 00:15:09 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 2.0000e-02 eta: 14:00:12 time: 0.8446 data_time: 0.0180 memory: 19925 grad_norm: 3.7643 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4543 loss: 1.4543 2022/08/11 00:15:26 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 2.0000e-02 eta: 13:59:54 time: 0.8380 data_time: 0.0222 memory: 19925 grad_norm: 3.7902 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/08/11 00:15:43 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 2.0000e-02 eta: 13:59:36 time: 0.8445 data_time: 0.0151 memory: 19925 grad_norm: 3.6366 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6836 loss: 1.6836 2022/08/11 00:16:00 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 2.0000e-02 eta: 13:59:18 time: 0.8397 data_time: 0.0173 memory: 19925 grad_norm: 3.7428 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4971 loss: 1.4971 2022/08/11 00:16:18 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 2.0000e-02 eta: 13:59:03 time: 0.9095 data_time: 0.0161 memory: 19925 grad_norm: 3.8595 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5936 loss: 1.5936 2022/08/11 00:16:35 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 2.0000e-02 eta: 13:58:45 time: 0.8463 data_time: 0.0180 memory: 19925 grad_norm: 3.8815 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5396 loss: 1.5396 2022/08/11 00:16:52 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 2.0000e-02 eta: 13:58:27 time: 0.8391 data_time: 0.0170 memory: 19925 grad_norm: 3.8841 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6590 loss: 1.6590 2022/08/11 00:17:13 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 2.0000e-02 eta: 13:58:16 time: 1.0613 data_time: 0.0183 memory: 19925 grad_norm: 3.7971 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6196 loss: 1.6196 2022/08/11 00:17:30 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 2.0000e-02 eta: 13:57:58 time: 0.8443 data_time: 0.0160 memory: 19925 grad_norm: 3.8198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6941 loss: 1.6941 2022/08/11 00:17:47 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 2.0000e-02 eta: 13:57:41 time: 0.8481 data_time: 0.0186 memory: 19925 grad_norm: 3.7828 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3588 loss: 1.3588 2022/08/11 00:18:04 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 00:18:04 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 2.0000e-02 eta: 13:57:41 time: 0.8928 data_time: 0.0166 memory: 19925 grad_norm: 3.9024 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.4528 loss: 1.4528 2022/08/11 00:18:24 - mmengine - INFO - Epoch(val) [19][20/155] eta: 0:02:12 time: 0.9813 data_time: 0.7490 memory: 2570 2022/08/11 00:18:39 - mmengine - INFO - Epoch(val) [19][40/155] eta: 0:01:27 time: 0.7598 data_time: 0.5311 memory: 2570 2022/08/11 00:18:50 - mmengine - INFO - Epoch(val) [19][60/155] eta: 0:00:52 time: 0.5536 data_time: 0.3241 memory: 2570 2022/08/11 00:19:09 - mmengine - INFO - Epoch(val) [19][80/155] eta: 0:01:11 time: 0.9555 data_time: 0.7260 memory: 2570 2022/08/11 00:19:29 - mmengine - INFO - Epoch(val) [19][100/155] eta: 0:00:54 time: 0.9833 data_time: 0.7545 memory: 2570 2022/08/11 00:19:49 - mmengine - INFO - Epoch(val) [19][120/155] eta: 0:00:34 time: 0.9947 data_time: 0.7653 memory: 2570 2022/08/11 00:20:01 - mmengine - INFO - Epoch(val) [19][140/155] eta: 0:00:09 time: 0.6466 data_time: 0.4177 memory: 2570 2022/08/11 00:20:21 - mmengine - INFO - Epoch(val) [19][155/155] acc/top1: 0.6114 acc/top5: 0.8446 acc/mean1: 0.6112 2022/08/11 00:20:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_18.pth is removed 2022/08/11 00:20:23 - mmengine - INFO - The best checkpoint with 0.6114 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2022/08/11 00:20:47 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 2.0000e-02 eta: 13:56:52 time: 1.2212 data_time: 0.2847 memory: 19925 grad_norm: 3.7599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5285 loss: 1.5285 2022/08/11 00:21:05 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 2.0000e-02 eta: 13:56:36 time: 0.9006 data_time: 0.0714 memory: 19925 grad_norm: 3.8131 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5619 loss: 1.5619 2022/08/11 00:21:22 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 2.0000e-02 eta: 13:56:18 time: 0.8376 data_time: 0.0166 memory: 19925 grad_norm: 3.6911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6538 loss: 1.6538 2022/08/11 00:21:39 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 2.0000e-02 eta: 13:56:00 time: 0.8334 data_time: 0.0164 memory: 19925 grad_norm: 3.8009 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/08/11 00:21:55 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 2.0000e-02 eta: 13:55:42 time: 0.8361 data_time: 0.0189 memory: 19925 grad_norm: 3.7668 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4480 loss: 1.4480 2022/08/11 00:22:12 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 2.0000e-02 eta: 13:55:24 time: 0.8431 data_time: 0.0165 memory: 19925 grad_norm: 3.6999 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4299 loss: 1.4299 2022/08/11 00:22:29 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 2.0000e-02 eta: 13:55:06 time: 0.8456 data_time: 0.0188 memory: 19925 grad_norm: 3.9082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5648 loss: 1.5648 2022/08/11 00:22:47 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 2.0000e-02 eta: 13:54:49 time: 0.8785 data_time: 0.0149 memory: 19925 grad_norm: 3.8181 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7493 loss: 1.7493 2022/08/11 00:23:03 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 2.0000e-02 eta: 13:54:31 time: 0.8350 data_time: 0.0190 memory: 19925 grad_norm: 3.7627 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4185 loss: 1.4185 2022/08/11 00:23:20 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 2.0000e-02 eta: 13:54:13 time: 0.8317 data_time: 0.0167 memory: 19925 grad_norm: 3.7817 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6213 loss: 1.6213 2022/08/11 00:23:37 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 2.0000e-02 eta: 13:53:55 time: 0.8392 data_time: 0.0179 memory: 19925 grad_norm: 3.9336 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/08/11 00:23:53 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 2.0000e-02 eta: 13:53:37 time: 0.8340 data_time: 0.0170 memory: 19925 grad_norm: 3.8704 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4823 loss: 1.4823 2022/08/11 00:24:10 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 2.0000e-02 eta: 13:53:19 time: 0.8341 data_time: 0.0174 memory: 19925 grad_norm: 3.7669 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6070 loss: 1.6070 2022/08/11 00:24:27 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 2.0000e-02 eta: 13:53:00 time: 0.8294 data_time: 0.0162 memory: 19925 grad_norm: 3.8558 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5097 loss: 1.5097 2022/08/11 00:24:43 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 00:24:43 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 2.0000e-02 eta: 13:52:42 time: 0.8360 data_time: 0.0192 memory: 19925 grad_norm: 3.8430 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5341 loss: 1.5341 2022/08/11 00:25:00 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 2.0000e-02 eta: 13:52:24 time: 0.8375 data_time: 0.0180 memory: 19925 grad_norm: 3.8185 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6777 loss: 1.6777 2022/08/11 00:25:17 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 2.0000e-02 eta: 13:52:06 time: 0.8413 data_time: 0.0180 memory: 19925 grad_norm: 3.9420 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/08/11 00:25:34 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 2.0000e-02 eta: 13:51:48 time: 0.8398 data_time: 0.0166 memory: 19925 grad_norm: 3.8443 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5886 loss: 1.5886 2022/08/11 00:25:50 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 2.0000e-02 eta: 13:51:30 time: 0.8331 data_time: 0.0179 memory: 19925 grad_norm: 3.7753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5517 loss: 1.5517 2022/08/11 00:26:07 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 2.0000e-02 eta: 13:51:12 time: 0.8389 data_time: 0.0222 memory: 19925 grad_norm: 3.7852 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4161 loss: 1.4161 2022/08/11 00:26:24 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 2.0000e-02 eta: 13:50:54 time: 0.8271 data_time: 0.0176 memory: 19925 grad_norm: 3.8275 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5045 loss: 1.5045 2022/08/11 00:26:41 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 2.0000e-02 eta: 13:50:36 time: 0.8362 data_time: 0.0189 memory: 19925 grad_norm: 3.6594 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3272 loss: 1.3272 2022/08/11 00:26:57 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 2.0000e-02 eta: 13:50:17 time: 0.8313 data_time: 0.0184 memory: 19925 grad_norm: 3.9045 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3931 loss: 1.3931 2022/08/11 00:27:14 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 2.0000e-02 eta: 13:49:59 time: 0.8324 data_time: 0.0177 memory: 19925 grad_norm: 3.7905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4980 loss: 1.4980 2022/08/11 00:27:31 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 2.0000e-02 eta: 13:49:41 time: 0.8335 data_time: 0.0176 memory: 19925 grad_norm: 3.7961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5080 loss: 1.5080 2022/08/11 00:27:47 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 2.0000e-02 eta: 13:49:23 time: 0.8359 data_time: 0.0187 memory: 19925 grad_norm: 3.8660 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4421 loss: 1.4421 2022/08/11 00:28:06 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 2.0000e-02 eta: 13:49:07 time: 0.9151 data_time: 0.0187 memory: 19925 grad_norm: 3.8958 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6335 loss: 1.6335 2022/08/11 00:28:22 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 2.0000e-02 eta: 13:48:49 time: 0.8335 data_time: 0.0148 memory: 19925 grad_norm: 3.7856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/08/11 00:28:39 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 2.0000e-02 eta: 13:48:31 time: 0.8330 data_time: 0.0171 memory: 19925 grad_norm: 3.7916 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6087 loss: 1.6087 2022/08/11 00:28:56 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 2.0000e-02 eta: 13:48:13 time: 0.8356 data_time: 0.0165 memory: 19925 grad_norm: 3.8140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3216 loss: 1.3216 2022/08/11 00:29:12 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 2.0000e-02 eta: 13:47:55 time: 0.8375 data_time: 0.0189 memory: 19925 grad_norm: 3.9978 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5687 loss: 1.5687 2022/08/11 00:29:29 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 2.0000e-02 eta: 13:47:37 time: 0.8377 data_time: 0.0161 memory: 19925 grad_norm: 3.8587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4872 loss: 1.4872 2022/08/11 00:29:46 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 2.0000e-02 eta: 13:47:19 time: 0.8357 data_time: 0.0161 memory: 19925 grad_norm: 3.7787 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6941 loss: 1.6941 2022/08/11 00:30:03 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 2.0000e-02 eta: 13:47:01 time: 0.8349 data_time: 0.0173 memory: 19925 grad_norm: 3.9705 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4395 loss: 1.4395 2022/08/11 00:30:19 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 2.0000e-02 eta: 13:46:43 time: 0.8382 data_time: 0.0212 memory: 19925 grad_norm: 3.8101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5886 loss: 1.5886 2022/08/11 00:30:36 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 2.0000e-02 eta: 13:46:25 time: 0.8331 data_time: 0.0159 memory: 19925 grad_norm: 3.8496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5770 loss: 1.5770 2022/08/11 00:30:53 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 2.0000e-02 eta: 13:46:07 time: 0.8340 data_time: 0.0175 memory: 19925 grad_norm: 3.8054 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6693 loss: 1.6693 2022/08/11 00:31:09 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 2.0000e-02 eta: 13:45:48 time: 0.8276 data_time: 0.0170 memory: 19925 grad_norm: 3.7953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6054 loss: 1.6054 2022/08/11 00:31:26 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 2.0000e-02 eta: 13:45:30 time: 0.8399 data_time: 0.0180 memory: 19925 grad_norm: 3.8353 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5804 loss: 1.5804 2022/08/11 00:31:43 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 2.0000e-02 eta: 13:45:12 time: 0.8369 data_time: 0.0163 memory: 19925 grad_norm: 3.8716 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8044 loss: 1.8044 2022/08/11 00:31:59 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 2.0000e-02 eta: 13:44:54 time: 0.8369 data_time: 0.0188 memory: 19925 grad_norm: 3.8785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4369 loss: 1.4369 2022/08/11 00:32:16 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 2.0000e-02 eta: 13:44:36 time: 0.8337 data_time: 0.0175 memory: 19925 grad_norm: 3.8215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6151 loss: 1.6151 2022/08/11 00:32:33 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 2.0000e-02 eta: 13:44:18 time: 0.8344 data_time: 0.0170 memory: 19925 grad_norm: 3.8164 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5094 loss: 1.5094 2022/08/11 00:32:50 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 2.0000e-02 eta: 13:44:00 time: 0.8337 data_time: 0.0169 memory: 19925 grad_norm: 3.9201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5244 loss: 1.5244 2022/08/11 00:33:06 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 2.0000e-02 eta: 13:43:42 time: 0.8317 data_time: 0.0172 memory: 19925 grad_norm: 3.7933 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5829 loss: 1.5829 2022/08/11 00:33:23 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 2.0000e-02 eta: 13:43:24 time: 0.8383 data_time: 0.0167 memory: 19925 grad_norm: 3.7070 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5239 loss: 1.5239 2022/08/11 00:33:40 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 2.0000e-02 eta: 13:43:06 time: 0.8409 data_time: 0.0190 memory: 19925 grad_norm: 3.8558 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4159 loss: 1.4159 2022/08/11 00:33:56 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 2.0000e-02 eta: 13:42:48 time: 0.8331 data_time: 0.0152 memory: 19925 grad_norm: 3.8004 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5394 loss: 1.5394 2022/08/11 00:34:13 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 2.0000e-02 eta: 13:42:30 time: 0.8444 data_time: 0.0265 memory: 19925 grad_norm: 3.8123 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5598 loss: 1.5598 2022/08/11 00:34:30 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 2.0000e-02 eta: 13:42:12 time: 0.8352 data_time: 0.0152 memory: 19925 grad_norm: 3.7934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5801 loss: 1.5801 2022/08/11 00:34:47 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 2.0000e-02 eta: 13:41:54 time: 0.8372 data_time: 0.0190 memory: 19925 grad_norm: 3.8606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5677 loss: 1.5677 2022/08/11 00:35:04 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 2.0000e-02 eta: 13:41:36 time: 0.8351 data_time: 0.0145 memory: 19925 grad_norm: 3.9012 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5394 loss: 1.5394 2022/08/11 00:35:21 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 2.0000e-02 eta: 13:41:19 time: 0.8602 data_time: 0.0375 memory: 19925 grad_norm: 3.8642 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5547 loss: 1.5547 2022/08/11 00:35:38 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 2.0000e-02 eta: 13:41:02 time: 0.8867 data_time: 0.0166 memory: 19925 grad_norm: 3.7996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6908 loss: 1.6908 2022/08/11 00:35:55 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 2.0000e-02 eta: 13:40:44 time: 0.8314 data_time: 0.0177 memory: 19925 grad_norm: 3.7869 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4736 loss: 1.4736 2022/08/11 00:36:12 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 2.0000e-02 eta: 13:40:26 time: 0.8272 data_time: 0.0161 memory: 19925 grad_norm: 3.8689 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6784 loss: 1.6784 2022/08/11 00:36:28 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 2.0000e-02 eta: 13:40:08 time: 0.8325 data_time: 0.0193 memory: 19925 grad_norm: 3.8853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5515 loss: 1.5515 2022/08/11 00:36:45 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 2.0000e-02 eta: 13:39:50 time: 0.8467 data_time: 0.0303 memory: 19925 grad_norm: 3.9092 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4137 loss: 1.4137 2022/08/11 00:37:02 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 2.0000e-02 eta: 13:39:32 time: 0.8442 data_time: 0.0264 memory: 19925 grad_norm: 3.7320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/08/11 00:37:19 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 2.0000e-02 eta: 13:39:14 time: 0.8346 data_time: 0.0161 memory: 19925 grad_norm: 3.8451 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6780 loss: 1.6780 2022/08/11 00:37:36 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 2.0000e-02 eta: 13:38:56 time: 0.8409 data_time: 0.0178 memory: 19925 grad_norm: 3.9377 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7127 loss: 1.7127 2022/08/11 00:37:54 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 2.0000e-02 eta: 13:38:40 time: 0.9054 data_time: 0.0527 memory: 19925 grad_norm: 3.8385 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6578 loss: 1.6578 2022/08/11 00:38:10 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 2.0000e-02 eta: 13:38:22 time: 0.8331 data_time: 0.0177 memory: 19925 grad_norm: 3.8859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/08/11 00:38:27 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 2.0000e-02 eta: 13:38:04 time: 0.8335 data_time: 0.0171 memory: 19925 grad_norm: 3.9556 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6076 loss: 1.6076 2022/08/11 00:38:43 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 00:38:44 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 2.0000e-02 eta: 13:37:46 time: 0.8300 data_time: 0.0187 memory: 19925 grad_norm: 3.9636 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5547 loss: 1.5547 2022/08/11 00:39:01 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 2.0000e-02 eta: 13:37:28 time: 0.8413 data_time: 0.0166 memory: 19925 grad_norm: 3.7438 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4198 loss: 1.4198 2022/08/11 00:39:17 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 2.0000e-02 eta: 13:37:10 time: 0.8419 data_time: 0.0233 memory: 19925 grad_norm: 3.8060 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4946 loss: 1.4946 2022/08/11 00:39:34 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 2.0000e-02 eta: 13:36:52 time: 0.8336 data_time: 0.0159 memory: 19925 grad_norm: 3.8205 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4019 loss: 1.4019 2022/08/11 00:39:51 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 2.0000e-02 eta: 13:36:34 time: 0.8372 data_time: 0.0168 memory: 19925 grad_norm: 3.9601 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6643 loss: 1.6643 2022/08/11 00:40:08 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 2.0000e-02 eta: 13:36:16 time: 0.8386 data_time: 0.0171 memory: 19925 grad_norm: 3.7741 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6300 loss: 1.6300 2022/08/11 00:40:27 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 2.0000e-02 eta: 13:36:02 time: 0.9554 data_time: 0.0552 memory: 19925 grad_norm: 3.8514 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5282 loss: 1.5282 2022/08/11 00:40:44 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 2.0000e-02 eta: 13:35:44 time: 0.8421 data_time: 0.0182 memory: 19925 grad_norm: 3.9787 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7057 loss: 1.7057 2022/08/11 00:41:00 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 2.0000e-02 eta: 13:35:26 time: 0.8289 data_time: 0.0160 memory: 19925 grad_norm: 3.9133 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/08/11 00:41:17 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 2.0000e-02 eta: 13:35:08 time: 0.8344 data_time: 0.0164 memory: 19925 grad_norm: 3.8900 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5690 loss: 1.5690 2022/08/11 00:41:34 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 2.0000e-02 eta: 13:34:50 time: 0.8350 data_time: 0.0189 memory: 19925 grad_norm: 3.8907 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6202 loss: 1.6202 2022/08/11 00:41:50 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 2.0000e-02 eta: 13:34:32 time: 0.8316 data_time: 0.0176 memory: 19925 grad_norm: 3.7876 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5683 loss: 1.5683 2022/08/11 00:42:07 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 2.0000e-02 eta: 13:34:14 time: 0.8385 data_time: 0.0172 memory: 19925 grad_norm: 3.7516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/08/11 00:42:24 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 2.0000e-02 eta: 13:33:55 time: 0.8322 data_time: 0.0165 memory: 19925 grad_norm: 3.9114 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4437 loss: 1.4437 2022/08/11 00:42:40 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 2.0000e-02 eta: 13:33:37 time: 0.8332 data_time: 0.0164 memory: 19925 grad_norm: 3.8090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7379 loss: 1.7379 2022/08/11 00:42:57 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 2.0000e-02 eta: 13:33:19 time: 0.8348 data_time: 0.0166 memory: 19925 grad_norm: 3.7959 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6520 loss: 1.6520 2022/08/11 00:43:14 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 2.0000e-02 eta: 13:33:01 time: 0.8379 data_time: 0.0177 memory: 19925 grad_norm: 3.8106 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/08/11 00:43:30 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 2.0000e-02 eta: 13:32:43 time: 0.8364 data_time: 0.0161 memory: 19925 grad_norm: 3.7422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4558 loss: 1.4558 2022/08/11 00:43:47 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 2.0000e-02 eta: 13:32:25 time: 0.8367 data_time: 0.0167 memory: 19925 grad_norm: 3.7823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6940 loss: 1.6940 2022/08/11 00:44:04 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 2.0000e-02 eta: 13:32:07 time: 0.8333 data_time: 0.0173 memory: 19925 grad_norm: 3.8151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8244 loss: 1.8244 2022/08/11 00:44:21 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 2.0000e-02 eta: 13:31:50 time: 0.8430 data_time: 0.0197 memory: 19925 grad_norm: 3.8058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5366 loss: 1.5366 2022/08/11 00:44:38 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 2.0000e-02 eta: 13:31:32 time: 0.8372 data_time: 0.0177 memory: 19925 grad_norm: 3.7718 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7017 loss: 1.7017 2022/08/11 00:44:54 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 2.0000e-02 eta: 13:31:14 time: 0.8446 data_time: 0.0233 memory: 19925 grad_norm: 3.7702 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6897 loss: 1.6897 2022/08/11 00:45:11 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 2.0000e-02 eta: 13:30:56 time: 0.8451 data_time: 0.0180 memory: 19925 grad_norm: 3.7607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5522 loss: 1.5522 2022/08/11 00:45:31 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 2.0000e-02 eta: 13:30:43 time: 0.9811 data_time: 0.1460 memory: 19925 grad_norm: 3.8197 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7446 loss: 1.7446 2022/08/11 00:45:48 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 2.0000e-02 eta: 13:30:25 time: 0.8358 data_time: 0.0151 memory: 19925 grad_norm: 3.8490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6695 loss: 1.6695 2022/08/11 00:46:04 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 2.0000e-02 eta: 13:30:07 time: 0.8415 data_time: 0.0207 memory: 19925 grad_norm: 3.8074 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4599 loss: 1.4599 2022/08/11 00:46:21 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 2.0000e-02 eta: 13:29:49 time: 0.8440 data_time: 0.0164 memory: 19925 grad_norm: 3.8167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5458 loss: 1.5458 2022/08/11 00:46:38 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 2.0000e-02 eta: 13:29:31 time: 0.8339 data_time: 0.0175 memory: 19925 grad_norm: 3.7844 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6741 loss: 1.6741 2022/08/11 00:46:53 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 00:46:53 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 2.0000e-02 eta: 13:29:31 time: 0.8058 data_time: 0.0150 memory: 19925 grad_norm: 3.9756 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4911 loss: 1.4911 2022/08/11 00:47:10 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:01:55 time: 0.8544 data_time: 0.6223 memory: 2570 2022/08/11 00:47:23 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:01:10 time: 0.6166 data_time: 0.3852 memory: 2570 2022/08/11 00:47:37 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:01:07 time: 0.7132 data_time: 0.4830 memory: 2570 2022/08/11 00:47:59 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:01:21 time: 1.0838 data_time: 0.8542 memory: 2570 2022/08/11 00:48:07 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:23 time: 0.4228 data_time: 0.1935 memory: 2570 2022/08/11 00:48:21 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:24 time: 0.7038 data_time: 0.4744 memory: 2570 2022/08/11 00:48:34 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:09 time: 0.6586 data_time: 0.4297 memory: 2570 2022/08/11 00:48:47 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6219 acc/top5: 0.8471 acc/mean1: 0.6218 2022/08/11 00:48:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_20.pth is removed 2022/08/11 00:48:48 - mmengine - INFO - The best checkpoint with 0.6219 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/11 00:49:12 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 2.0000e-02 eta: 13:28:42 time: 1.1677 data_time: 0.3387 memory: 19925 grad_norm: 3.7337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4967 loss: 1.4967 2022/08/11 00:49:28 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 2.0000e-02 eta: 13:28:24 time: 0.8276 data_time: 0.0157 memory: 19925 grad_norm: 3.7330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5391 loss: 1.5391 2022/08/11 00:49:45 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 2.0000e-02 eta: 13:28:05 time: 0.8255 data_time: 0.0169 memory: 19925 grad_norm: 3.8426 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5106 loss: 1.5106 2022/08/11 00:50:01 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 2.0000e-02 eta: 13:27:47 time: 0.8260 data_time: 0.0168 memory: 19925 grad_norm: 3.7223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3818 loss: 1.3818 2022/08/11 00:50:18 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 2.0000e-02 eta: 13:27:29 time: 0.8361 data_time: 0.0192 memory: 19925 grad_norm: 3.6946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4142 loss: 1.4142 2022/08/11 00:50:35 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 2.0000e-02 eta: 13:27:11 time: 0.8355 data_time: 0.0192 memory: 19925 grad_norm: 3.7057 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5529 loss: 1.5529 2022/08/11 00:50:51 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 2.0000e-02 eta: 13:26:53 time: 0.8328 data_time: 0.0179 memory: 19925 grad_norm: 3.8267 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5180 loss: 1.5180 2022/08/11 00:51:08 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 2.0000e-02 eta: 13:26:35 time: 0.8338 data_time: 0.0182 memory: 19925 grad_norm: 3.6877 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4721 loss: 1.4721 2022/08/11 00:51:25 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 2.0000e-02 eta: 13:26:17 time: 0.8445 data_time: 0.0188 memory: 19925 grad_norm: 3.8558 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5279 loss: 1.5279 2022/08/11 00:51:42 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 2.0000e-02 eta: 13:26:00 time: 0.8385 data_time: 0.0155 memory: 19925 grad_norm: 3.8269 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4631 loss: 1.4631 2022/08/11 00:51:58 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 2.0000e-02 eta: 13:25:42 time: 0.8410 data_time: 0.0179 memory: 19925 grad_norm: 3.8740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4722 loss: 1.4722 2022/08/11 00:52:15 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 2.0000e-02 eta: 13:25:24 time: 0.8452 data_time: 0.0179 memory: 19925 grad_norm: 3.8183 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5040 loss: 1.5040 2022/08/11 00:52:32 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 2.0000e-02 eta: 13:25:06 time: 0.8341 data_time: 0.0181 memory: 19925 grad_norm: 3.8516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/08/11 00:52:49 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 2.0000e-02 eta: 13:24:48 time: 0.8331 data_time: 0.0159 memory: 19925 grad_norm: 3.8954 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4631 loss: 1.4631 2022/08/11 00:53:05 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 2.0000e-02 eta: 13:24:30 time: 0.8348 data_time: 0.0184 memory: 19925 grad_norm: 3.7375 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6019 loss: 1.6019 2022/08/11 00:53:22 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 2.0000e-02 eta: 13:24:12 time: 0.8319 data_time: 0.0160 memory: 19925 grad_norm: 3.8561 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3562 loss: 1.3562 2022/08/11 00:53:39 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 2.0000e-02 eta: 13:23:54 time: 0.8362 data_time: 0.0182 memory: 19925 grad_norm: 3.7888 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3135 loss: 1.3135 2022/08/11 00:53:55 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 2.0000e-02 eta: 13:23:36 time: 0.8330 data_time: 0.0181 memory: 19925 grad_norm: 3.8997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6504 loss: 1.6504 2022/08/11 00:54:12 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 2.0000e-02 eta: 13:23:18 time: 0.8279 data_time: 0.0170 memory: 19925 grad_norm: 3.7914 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6261 loss: 1.6261 2022/08/11 00:54:29 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 2.0000e-02 eta: 13:23:00 time: 0.8382 data_time: 0.0175 memory: 19925 grad_norm: 3.8529 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5670 loss: 1.5670 2022/08/11 00:54:46 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 00:54:46 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 2.0000e-02 eta: 13:22:42 time: 0.8397 data_time: 0.0179 memory: 19925 grad_norm: 3.8742 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6450 loss: 1.6450 2022/08/11 00:55:02 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 2.0000e-02 eta: 13:22:24 time: 0.8317 data_time: 0.0169 memory: 19925 grad_norm: 3.8143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5912 loss: 1.5912 2022/08/11 00:55:19 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 2.0000e-02 eta: 13:22:06 time: 0.8405 data_time: 0.0201 memory: 19925 grad_norm: 3.7489 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5862 loss: 1.5862 2022/08/11 00:55:36 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 2.0000e-02 eta: 13:21:49 time: 0.8470 data_time: 0.0210 memory: 19925 grad_norm: 3.8990 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5127 loss: 1.5127 2022/08/11 00:55:53 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 2.0000e-02 eta: 13:21:31 time: 0.8369 data_time: 0.0191 memory: 19925 grad_norm: 3.8180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3818 loss: 1.3818 2022/08/11 00:56:09 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 2.0000e-02 eta: 13:21:13 time: 0.8361 data_time: 0.0156 memory: 19925 grad_norm: 3.7788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5663 loss: 1.5663 2022/08/11 00:56:26 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 2.0000e-02 eta: 13:20:55 time: 0.8350 data_time: 0.0189 memory: 19925 grad_norm: 3.8053 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4011 loss: 1.4011 2022/08/11 00:56:43 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 2.0000e-02 eta: 13:20:37 time: 0.8352 data_time: 0.0150 memory: 19925 grad_norm: 3.8377 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/08/11 00:57:00 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 2.0000e-02 eta: 13:20:19 time: 0.8319 data_time: 0.0189 memory: 19925 grad_norm: 3.9584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5471 loss: 1.5471 2022/08/11 00:57:16 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 2.0000e-02 eta: 13:20:01 time: 0.8381 data_time: 0.0178 memory: 19925 grad_norm: 3.8932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5107 loss: 1.5107 2022/08/11 00:57:33 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 2.0000e-02 eta: 13:19:43 time: 0.8304 data_time: 0.0179 memory: 19925 grad_norm: 3.8070 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4342 loss: 1.4342 2022/08/11 00:57:51 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 2.0000e-02 eta: 13:19:27 time: 0.9224 data_time: 0.0169 memory: 19925 grad_norm: 3.8742 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5007 loss: 1.5007 2022/08/11 00:58:08 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 2.0000e-02 eta: 13:19:09 time: 0.8363 data_time: 0.0177 memory: 19925 grad_norm: 3.8957 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6098 loss: 1.6098 2022/08/11 00:58:25 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 2.0000e-02 eta: 13:18:52 time: 0.8474 data_time: 0.0180 memory: 19925 grad_norm: 3.8315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5949 loss: 1.5949 2022/08/11 00:58:42 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 2.0000e-02 eta: 13:18:34 time: 0.8301 data_time: 0.0166 memory: 19925 grad_norm: 3.9035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6098 loss: 1.6098 2022/08/11 00:58:58 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 2.0000e-02 eta: 13:18:16 time: 0.8357 data_time: 0.0171 memory: 19925 grad_norm: 3.8427 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6000 loss: 1.6000 2022/08/11 00:59:15 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 2.0000e-02 eta: 13:17:58 time: 0.8352 data_time: 0.0181 memory: 19925 grad_norm: 3.7786 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/08/11 00:59:32 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 2.0000e-02 eta: 13:17:40 time: 0.8324 data_time: 0.0169 memory: 19925 grad_norm: 3.7436 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3238 loss: 1.3238 2022/08/11 00:59:48 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 2.0000e-02 eta: 13:17:22 time: 0.8383 data_time: 0.0185 memory: 19925 grad_norm: 3.8251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4442 loss: 1.4442 2022/08/11 01:00:05 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 2.0000e-02 eta: 13:17:04 time: 0.8382 data_time: 0.0181 memory: 19925 grad_norm: 3.8251 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7062 loss: 1.7062 2022/08/11 01:00:23 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 2.0000e-02 eta: 13:16:47 time: 0.8824 data_time: 0.0490 memory: 19925 grad_norm: 3.8671 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6797 loss: 1.6797 2022/08/11 01:00:40 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 2.0000e-02 eta: 13:16:30 time: 0.8416 data_time: 0.0179 memory: 19925 grad_norm: 3.7913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5767 loss: 1.5767 2022/08/11 01:00:56 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 2.0000e-02 eta: 13:16:12 time: 0.8362 data_time: 0.0170 memory: 19925 grad_norm: 3.8569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6190 loss: 1.6190 2022/08/11 01:01:13 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 2.0000e-02 eta: 13:15:54 time: 0.8363 data_time: 0.0170 memory: 19925 grad_norm: 3.7505 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/08/11 01:01:30 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 2.0000e-02 eta: 13:15:36 time: 0.8375 data_time: 0.0172 memory: 19925 grad_norm: 3.8189 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3893 loss: 1.3893 2022/08/11 01:01:47 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 2.0000e-02 eta: 13:15:18 time: 0.8375 data_time: 0.0175 memory: 19925 grad_norm: 3.8293 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5892 loss: 1.5892 2022/08/11 01:02:03 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 2.0000e-02 eta: 13:15:00 time: 0.8318 data_time: 0.0180 memory: 19925 grad_norm: 3.8859 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6979 loss: 1.6979 2022/08/11 01:02:20 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 2.0000e-02 eta: 13:14:42 time: 0.8371 data_time: 0.0169 memory: 19925 grad_norm: 3.9431 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6191 loss: 1.6191 2022/08/11 01:02:37 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 2.0000e-02 eta: 13:14:24 time: 0.8313 data_time: 0.0171 memory: 19925 grad_norm: 3.7188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4538 loss: 1.4538 2022/08/11 01:02:54 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 2.0000e-02 eta: 13:14:07 time: 0.8510 data_time: 0.0296 memory: 19925 grad_norm: 3.8539 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6378 loss: 1.6378 2022/08/11 01:03:10 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 2.0000e-02 eta: 13:13:49 time: 0.8352 data_time: 0.0176 memory: 19925 grad_norm: 3.7568 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/08/11 01:03:27 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 2.0000e-02 eta: 13:13:31 time: 0.8365 data_time: 0.0165 memory: 19925 grad_norm: 3.9055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4497 loss: 1.4497 2022/08/11 01:03:44 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 2.0000e-02 eta: 13:13:13 time: 0.8348 data_time: 0.0178 memory: 19925 grad_norm: 3.9517 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5581 loss: 1.5581 2022/08/11 01:04:01 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 2.0000e-02 eta: 13:12:55 time: 0.8403 data_time: 0.0172 memory: 19925 grad_norm: 3.8500 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5577 loss: 1.5577 2022/08/11 01:04:18 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 2.0000e-02 eta: 13:12:38 time: 0.8552 data_time: 0.0179 memory: 19925 grad_norm: 3.8122 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6222 loss: 1.6222 2022/08/11 01:04:35 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 2.0000e-02 eta: 13:12:20 time: 0.8389 data_time: 0.0152 memory: 19925 grad_norm: 3.8937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6223 loss: 1.6223 2022/08/11 01:04:51 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 2.0000e-02 eta: 13:12:02 time: 0.8409 data_time: 0.0195 memory: 19925 grad_norm: 3.8403 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/08/11 01:05:11 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 2.0000e-02 eta: 13:11:49 time: 0.9960 data_time: 0.0168 memory: 19925 grad_norm: 3.8605 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5407 loss: 1.5407 2022/08/11 01:05:28 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 2.0000e-02 eta: 13:11:31 time: 0.8415 data_time: 0.0192 memory: 19925 grad_norm: 3.7663 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4906 loss: 1.4906 2022/08/11 01:05:45 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 2.0000e-02 eta: 13:11:13 time: 0.8382 data_time: 0.0145 memory: 19925 grad_norm: 3.9657 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6619 loss: 1.6619 2022/08/11 01:06:02 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 2.0000e-02 eta: 13:10:55 time: 0.8346 data_time: 0.0161 memory: 19925 grad_norm: 3.7987 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4571 loss: 1.4571 2022/08/11 01:06:18 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 2.0000e-02 eta: 13:10:37 time: 0.8382 data_time: 0.0159 memory: 19925 grad_norm: 3.8810 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7446 loss: 1.7446 2022/08/11 01:06:35 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 2.0000e-02 eta: 13:10:20 time: 0.8423 data_time: 0.0173 memory: 19925 grad_norm: 3.7414 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4286 loss: 1.4286 2022/08/11 01:06:52 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 2.0000e-02 eta: 13:10:02 time: 0.8347 data_time: 0.0173 memory: 19925 grad_norm: 3.8367 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6345 loss: 1.6345 2022/08/11 01:07:10 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 2.0000e-02 eta: 13:09:45 time: 0.8828 data_time: 0.0193 memory: 19925 grad_norm: 3.9249 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5640 loss: 1.5640 2022/08/11 01:07:32 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 2.0000e-02 eta: 13:09:36 time: 1.1427 data_time: 0.0144 memory: 19925 grad_norm: 3.9125 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6618 loss: 1.6618 2022/08/11 01:07:53 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 2.0000e-02 eta: 13:09:23 time: 1.0015 data_time: 0.0181 memory: 19925 grad_norm: 3.8606 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4925 loss: 1.4925 2022/08/11 01:08:10 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 2.0000e-02 eta: 13:09:07 time: 0.8993 data_time: 0.0162 memory: 19925 grad_norm: 3.8940 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/08/11 01:08:27 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 2.0000e-02 eta: 13:08:49 time: 0.8375 data_time: 0.0185 memory: 19925 grad_norm: 3.8800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5995 loss: 1.5995 2022/08/11 01:08:45 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 2.0000e-02 eta: 13:08:33 time: 0.8986 data_time: 0.0151 memory: 19925 grad_norm: 3.8096 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4925 loss: 1.4925 2022/08/11 01:09:02 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 01:09:02 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 2.0000e-02 eta: 13:08:15 time: 0.8424 data_time: 0.0182 memory: 19925 grad_norm: 3.8610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5825 loss: 1.5825 2022/08/11 01:09:19 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 2.0000e-02 eta: 13:07:57 time: 0.8464 data_time: 0.0164 memory: 19925 grad_norm: 3.9211 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7339 loss: 1.7339 2022/08/11 01:09:36 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 2.0000e-02 eta: 13:07:39 time: 0.8378 data_time: 0.0194 memory: 19925 grad_norm: 3.8479 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5342 loss: 1.5342 2022/08/11 01:09:52 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 2.0000e-02 eta: 13:07:21 time: 0.8307 data_time: 0.0173 memory: 19925 grad_norm: 3.7536 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4642 loss: 1.4642 2022/08/11 01:10:09 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 2.0000e-02 eta: 13:07:03 time: 0.8289 data_time: 0.0156 memory: 19925 grad_norm: 3.8807 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5133 loss: 1.5133 2022/08/11 01:10:26 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 2.0000e-02 eta: 13:06:46 time: 0.8735 data_time: 0.0247 memory: 19925 grad_norm: 3.9194 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5386 loss: 1.5386 2022/08/11 01:10:43 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 2.0000e-02 eta: 13:06:29 time: 0.8397 data_time: 0.0191 memory: 19925 grad_norm: 3.9085 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6030 loss: 1.6030 2022/08/11 01:11:00 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 2.0000e-02 eta: 13:06:11 time: 0.8379 data_time: 0.0138 memory: 19925 grad_norm: 3.7635 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5446 loss: 1.5446 2022/08/11 01:11:17 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 2.0000e-02 eta: 13:05:53 time: 0.8505 data_time: 0.0163 memory: 19925 grad_norm: 3.7258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6215 loss: 1.6215 2022/08/11 01:11:35 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 2.0000e-02 eta: 13:05:38 time: 0.9209 data_time: 0.0169 memory: 19925 grad_norm: 3.8427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5396 loss: 1.5396 2022/08/11 01:11:52 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 2.0000e-02 eta: 13:05:20 time: 0.8384 data_time: 0.0187 memory: 19925 grad_norm: 3.8135 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5709 loss: 1.5709 2022/08/11 01:12:13 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 2.0000e-02 eta: 13:05:08 time: 1.0538 data_time: 0.1872 memory: 19925 grad_norm: 3.8165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6552 loss: 1.6552 2022/08/11 01:12:37 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 2.0000e-02 eta: 13:05:00 time: 1.1876 data_time: 0.0168 memory: 19925 grad_norm: 3.8657 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6756 loss: 1.6756 2022/08/11 01:12:54 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 2.0000e-02 eta: 13:04:42 time: 0.8348 data_time: 0.0160 memory: 19925 grad_norm: 3.9112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6082 loss: 1.6082 2022/08/11 01:13:11 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 2.0000e-02 eta: 13:04:24 time: 0.8422 data_time: 0.0180 memory: 19925 grad_norm: 3.8670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6242 loss: 1.6242 2022/08/11 01:13:27 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 2.0000e-02 eta: 13:04:06 time: 0.8415 data_time: 0.0166 memory: 19925 grad_norm: 3.7800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3622 loss: 1.3622 2022/08/11 01:13:44 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 2.0000e-02 eta: 13:03:49 time: 0.8436 data_time: 0.0191 memory: 19925 grad_norm: 3.7972 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4611 loss: 1.4611 2022/08/11 01:14:01 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 2.0000e-02 eta: 13:03:31 time: 0.8362 data_time: 0.0147 memory: 19925 grad_norm: 3.7990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6647 loss: 1.6647 2022/08/11 01:14:18 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 2.0000e-02 eta: 13:03:13 time: 0.8330 data_time: 0.0194 memory: 19925 grad_norm: 3.7532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4619 loss: 1.4619 2022/08/11 01:14:34 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 2.0000e-02 eta: 13:02:55 time: 0.8378 data_time: 0.0153 memory: 19925 grad_norm: 3.8832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6233 loss: 1.6233 2022/08/11 01:14:51 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 2.0000e-02 eta: 13:02:37 time: 0.8304 data_time: 0.0177 memory: 19925 grad_norm: 3.7807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/08/11 01:15:09 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 2.0000e-02 eta: 13:02:20 time: 0.8885 data_time: 0.0169 memory: 19925 grad_norm: 3.7791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/08/11 01:15:25 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 2.0000e-02 eta: 13:02:02 time: 0.8292 data_time: 0.0175 memory: 19925 grad_norm: 3.7152 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3760 loss: 1.3760 2022/08/11 01:15:41 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 01:15:41 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 2.0000e-02 eta: 13:02:02 time: 0.8083 data_time: 0.0147 memory: 19925 grad_norm: 3.9856 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.6018 loss: 1.6018 2022/08/11 01:15:41 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/11 01:15:59 - mmengine - INFO - Epoch(val) [21][20/155] eta: 0:01:50 time: 0.8163 data_time: 0.5829 memory: 2570 2022/08/11 01:16:16 - mmengine - INFO - Epoch(val) [21][40/155] eta: 0:01:39 time: 0.8656 data_time: 0.6354 memory: 2570 2022/08/11 01:16:28 - mmengine - INFO - Epoch(val) [21][60/155] eta: 0:00:56 time: 0.5942 data_time: 0.3649 memory: 2570 2022/08/11 01:16:43 - mmengine - INFO - Epoch(val) [21][80/155] eta: 0:00:54 time: 0.7242 data_time: 0.4914 memory: 2570 2022/08/11 01:17:00 - mmengine - INFO - Epoch(val) [21][100/155] eta: 0:00:47 time: 0.8590 data_time: 0.6294 memory: 2570 2022/08/11 01:17:14 - mmengine - INFO - Epoch(val) [21][120/155] eta: 0:00:24 time: 0.6994 data_time: 0.4716 memory: 2570 2022/08/11 01:17:27 - mmengine - INFO - Epoch(val) [21][140/155] eta: 0:00:10 time: 0.6669 data_time: 0.4369 memory: 2570 2022/08/11 01:17:36 - mmengine - INFO - Epoch(val) [21][155/155] acc/top1: 0.6158 acc/top5: 0.8378 acc/mean1: 0.6156 2022/08/11 01:18:00 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 2.0000e-02 eta: 13:01:16 time: 1.2132 data_time: 0.2684 memory: 19925 grad_norm: 3.7729 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5173 loss: 1.5173 2022/08/11 01:18:17 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 2.0000e-02 eta: 13:00:58 time: 0.8492 data_time: 0.0356 memory: 19925 grad_norm: 3.6850 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5021 loss: 1.5021 2022/08/11 01:18:34 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 2.0000e-02 eta: 13:00:40 time: 0.8305 data_time: 0.0166 memory: 19925 grad_norm: 3.7602 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4883 loss: 1.4883 2022/08/11 01:18:51 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 2.0000e-02 eta: 13:00:22 time: 0.8344 data_time: 0.0184 memory: 19925 grad_norm: 3.8100 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/08/11 01:19:07 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 2.0000e-02 eta: 13:00:04 time: 0.8305 data_time: 0.0179 memory: 19925 grad_norm: 3.7482 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.4708 loss: 1.4708 2022/08/11 01:19:24 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 2.0000e-02 eta: 12:59:47 time: 0.8337 data_time: 0.0161 memory: 19925 grad_norm: 3.8371 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4428 loss: 1.4428 2022/08/11 01:19:40 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 2.0000e-02 eta: 12:59:29 time: 0.8327 data_time: 0.0173 memory: 19925 grad_norm: 3.7353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4705 loss: 1.4705 2022/08/11 01:19:57 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 2.0000e-02 eta: 12:59:11 time: 0.8340 data_time: 0.0180 memory: 19925 grad_norm: 3.7254 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5741 loss: 1.5741 2022/08/11 01:20:14 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 2.0000e-02 eta: 12:58:53 time: 0.8407 data_time: 0.0195 memory: 19925 grad_norm: 3.8175 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.4514 loss: 1.4514 2022/08/11 01:20:31 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 2.0000e-02 eta: 12:58:35 time: 0.8341 data_time: 0.0184 memory: 19925 grad_norm: 3.9123 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5449 loss: 1.5449 2022/08/11 01:20:47 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 2.0000e-02 eta: 12:58:17 time: 0.8315 data_time: 0.0190 memory: 19925 grad_norm: 3.8866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5785 loss: 1.5785 2022/08/11 01:21:04 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 2.0000e-02 eta: 12:57:59 time: 0.8361 data_time: 0.0172 memory: 19925 grad_norm: 3.7966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3856 loss: 1.3856 2022/08/11 01:21:21 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 2.0000e-02 eta: 12:57:41 time: 0.8395 data_time: 0.0171 memory: 19925 grad_norm: 3.7845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4649 loss: 1.4649 2022/08/11 01:21:38 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 2.0000e-02 eta: 12:57:24 time: 0.8408 data_time: 0.0203 memory: 19925 grad_norm: 3.9569 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7163 loss: 1.7163 2022/08/11 01:21:54 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 2.0000e-02 eta: 12:57:06 time: 0.8314 data_time: 0.0185 memory: 19925 grad_norm: 3.7584 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6476 loss: 1.6476 2022/08/11 01:22:11 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 2.0000e-02 eta: 12:56:47 time: 0.8276 data_time: 0.0170 memory: 19925 grad_norm: 3.7657 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4499 loss: 1.4499 2022/08/11 01:22:28 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 2.0000e-02 eta: 12:56:30 time: 0.8415 data_time: 0.0183 memory: 19925 grad_norm: 3.7550 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5605 loss: 1.5605 2022/08/11 01:22:44 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 2.0000e-02 eta: 12:56:12 time: 0.8369 data_time: 0.0187 memory: 19925 grad_norm: 3.6694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4272 loss: 1.4272 2022/08/11 01:23:01 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 2.0000e-02 eta: 12:55:54 time: 0.8324 data_time: 0.0174 memory: 19925 grad_norm: 3.8428 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4885 loss: 1.4885 2022/08/11 01:23:18 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 2.0000e-02 eta: 12:55:36 time: 0.8331 data_time: 0.0184 memory: 19925 grad_norm: 3.8532 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5435 loss: 1.5435 2022/08/11 01:23:34 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 2.0000e-02 eta: 12:55:18 time: 0.8316 data_time: 0.0174 memory: 19925 grad_norm: 3.9566 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8596 loss: 1.8596 2022/08/11 01:23:51 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 2.0000e-02 eta: 12:55:00 time: 0.8363 data_time: 0.0182 memory: 19925 grad_norm: 3.7935 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4352 loss: 1.4352 2022/08/11 01:24:08 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 2.0000e-02 eta: 12:54:42 time: 0.8351 data_time: 0.0186 memory: 19925 grad_norm: 3.7949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5528 loss: 1.5528 2022/08/11 01:24:25 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 2.0000e-02 eta: 12:54:24 time: 0.8349 data_time: 0.0191 memory: 19925 grad_norm: 3.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4868 loss: 1.4868 2022/08/11 01:24:41 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 2.0000e-02 eta: 12:54:06 time: 0.8355 data_time: 0.0184 memory: 19925 grad_norm: 3.8743 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3836 loss: 1.3836 2022/08/11 01:24:58 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 2.0000e-02 eta: 12:53:49 time: 0.8401 data_time: 0.0207 memory: 19925 grad_norm: 3.8590 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6626 loss: 1.6626 2022/08/11 01:25:15 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 2.0000e-02 eta: 12:53:32 time: 0.8691 data_time: 0.0504 memory: 19925 grad_norm: 3.9321 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5485 loss: 1.5485 2022/08/11 01:25:16 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 01:25:34 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 2.0000e-02 eta: 12:53:16 time: 0.9308 data_time: 0.0169 memory: 19925 grad_norm: 3.8181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/08/11 01:25:52 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 2.0000e-02 eta: 12:53:00 time: 0.9029 data_time: 0.0212 memory: 19925 grad_norm: 3.8408 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4395 loss: 1.4395 2022/08/11 01:26:09 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 2.0000e-02 eta: 12:52:43 time: 0.8415 data_time: 0.0169 memory: 19925 grad_norm: 3.8391 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4218 loss: 1.4218 2022/08/11 01:26:26 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 2.0000e-02 eta: 12:52:25 time: 0.8327 data_time: 0.0167 memory: 19925 grad_norm: 3.8012 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5527 loss: 1.5527 2022/08/11 01:26:42 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 2.0000e-02 eta: 12:52:07 time: 0.8345 data_time: 0.0180 memory: 19925 grad_norm: 3.8947 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5869 loss: 1.5869 2022/08/11 01:26:59 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 2.0000e-02 eta: 12:51:49 time: 0.8346 data_time: 0.0149 memory: 19925 grad_norm: 3.9490 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6501 loss: 1.6501 2022/08/11 01:27:16 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 2.0000e-02 eta: 12:51:31 time: 0.8373 data_time: 0.0174 memory: 19925 grad_norm: 3.8613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/08/11 01:27:32 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 2.0000e-02 eta: 12:51:13 time: 0.8334 data_time: 0.0178 memory: 19925 grad_norm: 3.9106 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4020 loss: 1.4020 2022/08/11 01:27:50 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 2.0000e-02 eta: 12:50:55 time: 0.8385 data_time: 0.0182 memory: 19925 grad_norm: 3.8229 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4320 loss: 1.4320 2022/08/11 01:28:07 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 2.0000e-02 eta: 12:50:39 time: 0.9099 data_time: 0.0960 memory: 19925 grad_norm: 3.8925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5025 loss: 1.5025 2022/08/11 01:28:24 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 2.0000e-02 eta: 12:50:21 time: 0.8294 data_time: 0.0171 memory: 19925 grad_norm: 3.7979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5442 loss: 1.5442 2022/08/11 01:28:41 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 2.0000e-02 eta: 12:50:04 time: 0.8366 data_time: 0.0182 memory: 19925 grad_norm: 3.8439 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5326 loss: 1.5326 2022/08/11 01:28:57 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 2.0000e-02 eta: 12:49:46 time: 0.8362 data_time: 0.0182 memory: 19925 grad_norm: 3.9485 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5384 loss: 1.5384 2022/08/11 01:29:14 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 2.0000e-02 eta: 12:49:28 time: 0.8344 data_time: 0.0178 memory: 19925 grad_norm: 3.8506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6757 loss: 1.6757 2022/08/11 01:29:31 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 2.0000e-02 eta: 12:49:10 time: 0.8344 data_time: 0.0163 memory: 19925 grad_norm: 3.8495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4896 loss: 1.4896 2022/08/11 01:29:48 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 2.0000e-02 eta: 12:48:52 time: 0.8474 data_time: 0.0273 memory: 19925 grad_norm: 3.8371 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4833 loss: 1.4833 2022/08/11 01:30:05 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 2.0000e-02 eta: 12:48:35 time: 0.8410 data_time: 0.0166 memory: 19925 grad_norm: 3.8079 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4820 loss: 1.4820 2022/08/11 01:30:22 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 2.0000e-02 eta: 12:48:18 time: 0.8731 data_time: 0.0374 memory: 19925 grad_norm: 3.8419 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5400 loss: 1.5400 2022/08/11 01:30:39 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 2.0000e-02 eta: 12:48:00 time: 0.8504 data_time: 0.0220 memory: 19925 grad_norm: 3.7956 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4209 loss: 1.4209 2022/08/11 01:30:56 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 2.0000e-02 eta: 12:47:43 time: 0.8374 data_time: 0.0169 memory: 19925 grad_norm: 3.8314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7450 loss: 1.7450 2022/08/11 01:31:13 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 2.0000e-02 eta: 12:47:25 time: 0.8525 data_time: 0.0154 memory: 19925 grad_norm: 3.7967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3743 loss: 1.3743 2022/08/11 01:31:30 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 2.0000e-02 eta: 12:47:08 time: 0.8450 data_time: 0.0255 memory: 19925 grad_norm: 3.9307 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4779 loss: 1.4779 2022/08/11 01:31:47 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 2.0000e-02 eta: 12:46:50 time: 0.8347 data_time: 0.0156 memory: 19925 grad_norm: 3.8086 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6437 loss: 1.6437 2022/08/11 01:32:03 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 2.0000e-02 eta: 12:46:32 time: 0.8408 data_time: 0.0180 memory: 19925 grad_norm: 3.8312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4241 loss: 1.4241 2022/08/11 01:32:20 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 2.0000e-02 eta: 12:46:14 time: 0.8483 data_time: 0.0150 memory: 19925 grad_norm: 3.8029 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4434 loss: 1.4434 2022/08/11 01:32:37 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 2.0000e-02 eta: 12:45:57 time: 0.8318 data_time: 0.0168 memory: 19925 grad_norm: 3.8645 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5637 loss: 1.5637 2022/08/11 01:32:54 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 2.0000e-02 eta: 12:45:39 time: 0.8398 data_time: 0.0171 memory: 19925 grad_norm: 3.8073 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4503 loss: 1.4503 2022/08/11 01:33:10 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 2.0000e-02 eta: 12:45:21 time: 0.8302 data_time: 0.0169 memory: 19925 grad_norm: 3.8545 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5448 loss: 1.5448 2022/08/11 01:33:31 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 2.0000e-02 eta: 12:45:08 time: 1.0445 data_time: 0.0175 memory: 19925 grad_norm: 3.7468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4747 loss: 1.4747 2022/08/11 01:33:48 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 2.0000e-02 eta: 12:44:51 time: 0.8346 data_time: 0.0194 memory: 19925 grad_norm: 3.8197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5550 loss: 1.5550 2022/08/11 01:34:05 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 2.0000e-02 eta: 12:44:33 time: 0.8371 data_time: 0.0192 memory: 19925 grad_norm: 3.8630 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4887 loss: 1.4887 2022/08/11 01:34:21 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 2.0000e-02 eta: 12:44:15 time: 0.8391 data_time: 0.0188 memory: 19925 grad_norm: 3.8308 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5880 loss: 1.5880 2022/08/11 01:34:38 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 2.0000e-02 eta: 12:43:57 time: 0.8346 data_time: 0.0161 memory: 19925 grad_norm: 3.7381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6724 loss: 1.6724 2022/08/11 01:34:55 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 2.0000e-02 eta: 12:43:39 time: 0.8290 data_time: 0.0177 memory: 19925 grad_norm: 3.6195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4910 loss: 1.4910 2022/08/11 01:35:16 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 2.0000e-02 eta: 12:43:27 time: 1.0637 data_time: 0.0160 memory: 19925 grad_norm: 3.9442 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4275 loss: 1.4275 2022/08/11 01:35:33 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 2.0000e-02 eta: 12:43:10 time: 0.8623 data_time: 0.0208 memory: 19925 grad_norm: 3.9086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6327 loss: 1.6327 2022/08/11 01:35:51 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 2.0000e-02 eta: 12:42:53 time: 0.8709 data_time: 0.0155 memory: 19925 grad_norm: 3.8287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5308 loss: 1.5308 2022/08/11 01:36:07 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 2.0000e-02 eta: 12:42:35 time: 0.8344 data_time: 0.0182 memory: 19925 grad_norm: 3.8376 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/08/11 01:36:24 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 2.0000e-02 eta: 12:42:17 time: 0.8348 data_time: 0.0166 memory: 19925 grad_norm: 3.8660 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4385 loss: 1.4385 2022/08/11 01:36:41 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 2.0000e-02 eta: 12:42:00 time: 0.8375 data_time: 0.0208 memory: 19925 grad_norm: 3.8794 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4063 loss: 1.4063 2022/08/11 01:36:59 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 2.0000e-02 eta: 12:41:44 time: 0.9232 data_time: 0.1006 memory: 19925 grad_norm: 3.8337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6432 loss: 1.6432 2022/08/11 01:37:16 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 2.0000e-02 eta: 12:41:26 time: 0.8359 data_time: 0.0147 memory: 19925 grad_norm: 3.9369 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5739 loss: 1.5739 2022/08/11 01:37:35 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 2.0000e-02 eta: 12:41:11 time: 0.9410 data_time: 0.0162 memory: 19925 grad_norm: 3.8154 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7029 loss: 1.7029 2022/08/11 01:37:53 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 2.0000e-02 eta: 12:40:55 time: 0.9055 data_time: 0.0193 memory: 19925 grad_norm: 3.9328 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7369 loss: 1.7369 2022/08/11 01:38:17 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 2.0000e-02 eta: 12:40:47 time: 1.2007 data_time: 0.0150 memory: 19925 grad_norm: 3.9405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5986 loss: 1.5986 2022/08/11 01:38:34 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 2.0000e-02 eta: 12:40:29 time: 0.8362 data_time: 0.0166 memory: 19925 grad_norm: 3.8628 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/08/11 01:38:55 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 2.0000e-02 eta: 12:40:16 time: 1.0438 data_time: 0.0184 memory: 19925 grad_norm: 3.7019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6237 loss: 1.6237 2022/08/11 01:39:11 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 2.0000e-02 eta: 12:39:59 time: 0.8362 data_time: 0.0173 memory: 19925 grad_norm: 3.8805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5464 loss: 1.5464 2022/08/11 01:39:28 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 2.0000e-02 eta: 12:39:41 time: 0.8547 data_time: 0.0203 memory: 19925 grad_norm: 3.7593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7832 loss: 1.7832 2022/08/11 01:39:46 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 2.0000e-02 eta: 12:39:25 time: 0.8908 data_time: 0.0205 memory: 19925 grad_norm: 3.8201 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6365 loss: 1.6365 2022/08/11 01:39:47 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 01:40:03 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 2.0000e-02 eta: 12:39:07 time: 0.8427 data_time: 0.0151 memory: 19925 grad_norm: 3.7797 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3726 loss: 1.3726 2022/08/11 01:40:21 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 2.0000e-02 eta: 12:38:51 time: 0.8951 data_time: 0.0692 memory: 19925 grad_norm: 3.7773 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4986 loss: 1.4986 2022/08/11 01:40:42 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 2.0000e-02 eta: 12:38:38 time: 1.0257 data_time: 0.2047 memory: 19925 grad_norm: 3.8135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6191 loss: 1.6191 2022/08/11 01:40:58 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 2.0000e-02 eta: 12:38:20 time: 0.8338 data_time: 0.0151 memory: 19925 grad_norm: 3.7631 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5411 loss: 1.5411 2022/08/11 01:41:15 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 2.0000e-02 eta: 12:38:02 time: 0.8419 data_time: 0.0175 memory: 19925 grad_norm: 3.7484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4860 loss: 1.4860 2022/08/11 01:41:32 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 2.0000e-02 eta: 12:37:44 time: 0.8364 data_time: 0.0175 memory: 19925 grad_norm: 3.9528 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4944 loss: 1.4944 2022/08/11 01:41:49 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 2.0000e-02 eta: 12:37:27 time: 0.8342 data_time: 0.0169 memory: 19925 grad_norm: 3.9444 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5328 loss: 1.5328 2022/08/11 01:42:05 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 2.0000e-02 eta: 12:37:09 time: 0.8403 data_time: 0.0202 memory: 19925 grad_norm: 3.8312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/08/11 01:42:24 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 2.0000e-02 eta: 12:36:53 time: 0.9090 data_time: 0.0155 memory: 19925 grad_norm: 3.9132 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7190 loss: 1.7190 2022/08/11 01:42:40 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 2.0000e-02 eta: 12:36:35 time: 0.8375 data_time: 0.0168 memory: 19925 grad_norm: 3.8566 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7559 loss: 1.7559 2022/08/11 01:42:57 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 2.0000e-02 eta: 12:36:17 time: 0.8392 data_time: 0.0183 memory: 19925 grad_norm: 3.9211 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6192 loss: 1.6192 2022/08/11 01:43:14 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 2.0000e-02 eta: 12:35:59 time: 0.8343 data_time: 0.0174 memory: 19925 grad_norm: 3.8490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5294 loss: 1.5294 2022/08/11 01:43:30 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 2.0000e-02 eta: 12:35:41 time: 0.8309 data_time: 0.0182 memory: 19925 grad_norm: 3.7943 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4300 loss: 1.4300 2022/08/11 01:43:47 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 2.0000e-02 eta: 12:35:23 time: 0.8314 data_time: 0.0178 memory: 19925 grad_norm: 3.8873 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5471 loss: 1.5471 2022/08/11 01:44:04 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 2.0000e-02 eta: 12:35:06 time: 0.8404 data_time: 0.0175 memory: 19925 grad_norm: 3.8591 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4085 loss: 1.4085 2022/08/11 01:44:20 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 2.0000e-02 eta: 12:34:48 time: 0.8309 data_time: 0.0192 memory: 19925 grad_norm: 3.8542 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7926 loss: 1.7926 2022/08/11 01:44:36 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 01:44:36 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 2.0000e-02 eta: 12:34:48 time: 0.8019 data_time: 0.0149 memory: 19925 grad_norm: 3.8614 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5047 loss: 1.5047 2022/08/11 01:44:53 - mmengine - INFO - Epoch(val) [22][20/155] eta: 0:01:55 time: 0.8537 data_time: 0.6204 memory: 2570 2022/08/11 01:45:01 - mmengine - INFO - Epoch(val) [22][40/155] eta: 0:00:45 time: 0.3965 data_time: 0.1659 memory: 2570 2022/08/11 01:45:15 - mmengine - INFO - Epoch(val) [22][60/155] eta: 0:01:07 time: 0.7132 data_time: 0.4828 memory: 2570 2022/08/11 01:45:30 - mmengine - INFO - Epoch(val) [22][80/155] eta: 0:00:54 time: 0.7328 data_time: 0.5017 memory: 2570 2022/08/11 01:45:41 - mmengine - INFO - Epoch(val) [22][100/155] eta: 0:00:32 time: 0.5834 data_time: 0.3539 memory: 2570 2022/08/11 01:45:53 - mmengine - INFO - Epoch(val) [22][120/155] eta: 0:00:20 time: 0.5784 data_time: 0.3486 memory: 2570 2022/08/11 01:46:09 - mmengine - INFO - Epoch(val) [22][140/155] eta: 0:00:12 time: 0.8207 data_time: 0.5909 memory: 2570 2022/08/11 01:46:31 - mmengine - INFO - Epoch(val) [22][155/155] acc/top1: 0.6169 acc/top5: 0.8435 acc/mean1: 0.6169 2022/08/11 01:46:55 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 2.0000e-02 eta: 12:34:03 time: 1.2242 data_time: 0.1712 memory: 19925 grad_norm: 3.7166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4905 loss: 1.4905 2022/08/11 01:47:12 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 2.0000e-02 eta: 12:33:45 time: 0.8562 data_time: 0.0183 memory: 19925 grad_norm: 3.7938 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3966 loss: 1.3966 2022/08/11 01:47:29 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 2.0000e-02 eta: 12:33:28 time: 0.8449 data_time: 0.0179 memory: 19925 grad_norm: 3.7226 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5528 loss: 1.5528 2022/08/11 01:47:46 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 2.0000e-02 eta: 12:33:10 time: 0.8454 data_time: 0.0175 memory: 19925 grad_norm: 3.8156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4231 loss: 1.4231 2022/08/11 01:48:05 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 2.0000e-02 eta: 12:32:55 time: 0.9262 data_time: 0.0169 memory: 19925 grad_norm: 3.7748 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4121 loss: 1.4121 2022/08/11 01:48:21 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 2.0000e-02 eta: 12:32:37 time: 0.8357 data_time: 0.0166 memory: 19925 grad_norm: 3.8520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1907 loss: 1.1907 2022/08/11 01:48:38 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 2.0000e-02 eta: 12:32:19 time: 0.8331 data_time: 0.0163 memory: 19925 grad_norm: 3.8694 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6764 loss: 1.6764 2022/08/11 01:48:56 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 2.0000e-02 eta: 12:32:03 time: 0.9020 data_time: 0.0172 memory: 19925 grad_norm: 3.8821 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6343 loss: 1.6343 2022/08/11 01:49:13 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 2.0000e-02 eta: 12:31:45 time: 0.8382 data_time: 0.0173 memory: 19925 grad_norm: 3.7149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5632 loss: 1.5632 2022/08/11 01:49:30 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 2.0000e-02 eta: 12:31:27 time: 0.8432 data_time: 0.0176 memory: 19925 grad_norm: 3.8137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4867 loss: 1.4867 2022/08/11 01:49:49 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 2.0000e-02 eta: 12:31:13 time: 0.9533 data_time: 0.0168 memory: 19925 grad_norm: 3.8697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4595 loss: 1.4595 2022/08/11 01:50:06 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 2.0000e-02 eta: 12:30:55 time: 0.8413 data_time: 0.0178 memory: 19925 grad_norm: 3.9562 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.3439 loss: 1.3439 2022/08/11 01:50:24 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 2.0000e-02 eta: 12:30:39 time: 0.9134 data_time: 0.0411 memory: 19925 grad_norm: 3.7278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4295 loss: 1.4295 2022/08/11 01:50:42 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 2.0000e-02 eta: 12:30:23 time: 0.9193 data_time: 0.0187 memory: 19925 grad_norm: 3.8253 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3884 loss: 1.3884 2022/08/11 01:51:02 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 2.0000e-02 eta: 12:30:10 time: 1.0029 data_time: 0.0158 memory: 19925 grad_norm: 3.8739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/08/11 01:51:25 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 2.0000e-02 eta: 12:30:00 time: 1.1449 data_time: 0.0168 memory: 19925 grad_norm: 3.8328 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4136 loss: 1.4136 2022/08/11 01:51:42 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 2.0000e-02 eta: 12:29:42 time: 0.8414 data_time: 0.0162 memory: 19925 grad_norm: 3.8813 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6420 loss: 1.6420 2022/08/11 01:52:04 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 2.0000e-02 eta: 12:29:30 time: 1.0714 data_time: 0.0170 memory: 19925 grad_norm: 3.7952 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4733 loss: 1.4733 2022/08/11 01:52:27 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 2.0000e-02 eta: 12:29:20 time: 1.1566 data_time: 0.0160 memory: 19925 grad_norm: 3.8451 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7234 loss: 1.7234 2022/08/11 01:52:44 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 2.0000e-02 eta: 12:29:04 time: 0.8858 data_time: 0.0169 memory: 19925 grad_norm: 3.8700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4259 loss: 1.4259 2022/08/11 01:53:03 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 2.0000e-02 eta: 12:28:48 time: 0.9185 data_time: 0.0165 memory: 19925 grad_norm: 3.8217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/08/11 01:53:20 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 2.0000e-02 eta: 12:28:30 time: 0.8448 data_time: 0.0195 memory: 19925 grad_norm: 3.8130 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4861 loss: 1.4861 2022/08/11 01:53:36 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 2.0000e-02 eta: 12:28:12 time: 0.8381 data_time: 0.0166 memory: 19925 grad_norm: 3.7637 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4754 loss: 1.4754 2022/08/11 01:53:53 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 2.0000e-02 eta: 12:27:55 time: 0.8356 data_time: 0.0185 memory: 19925 grad_norm: 3.8085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4505 loss: 1.4505 2022/08/11 01:54:10 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 2.0000e-02 eta: 12:27:37 time: 0.8463 data_time: 0.0177 memory: 19925 grad_norm: 3.8055 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4114 loss: 1.4114 2022/08/11 01:54:27 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 2.0000e-02 eta: 12:27:20 time: 0.8534 data_time: 0.0182 memory: 19925 grad_norm: 3.8868 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6677 loss: 1.6677 2022/08/11 01:54:48 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 2.0000e-02 eta: 12:27:07 time: 1.0429 data_time: 0.0173 memory: 19925 grad_norm: 3.8453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6240 loss: 1.6240 2022/08/11 01:55:05 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 2.0000e-02 eta: 12:26:49 time: 0.8499 data_time: 0.0179 memory: 19925 grad_norm: 3.9041 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2844 loss: 1.2844 2022/08/11 01:55:22 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 2.0000e-02 eta: 12:26:32 time: 0.8684 data_time: 0.0416 memory: 19925 grad_norm: 3.8821 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4543 loss: 1.4543 2022/08/11 01:55:44 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 2.0000e-02 eta: 12:26:21 time: 1.0967 data_time: 0.0174 memory: 19925 grad_norm: 3.9472 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4556 loss: 1.4556 2022/08/11 01:56:02 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 2.0000e-02 eta: 12:26:04 time: 0.8710 data_time: 0.0206 memory: 19925 grad_norm: 3.8350 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/08/11 01:56:20 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 2.0000e-02 eta: 12:25:47 time: 0.8881 data_time: 0.0172 memory: 19925 grad_norm: 3.8876 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5329 loss: 1.5329 2022/08/11 01:56:38 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 2.0000e-02 eta: 12:25:32 time: 0.9425 data_time: 0.0168 memory: 19925 grad_norm: 3.8543 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4337 loss: 1.4337 2022/08/11 01:56:40 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 01:56:56 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 2.0000e-02 eta: 12:25:16 time: 0.8979 data_time: 0.0178 memory: 19925 grad_norm: 3.9564 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3612 loss: 1.3612 2022/08/11 01:57:13 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 2.0000e-02 eta: 12:24:58 time: 0.8475 data_time: 0.0171 memory: 19925 grad_norm: 3.9792 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6060 loss: 1.6060 2022/08/11 01:57:34 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 2.0000e-02 eta: 12:24:45 time: 1.0267 data_time: 0.0191 memory: 19925 grad_norm: 3.7918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4990 loss: 1.4990 2022/08/11 01:57:57 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 2.0000e-02 eta: 12:24:35 time: 1.1475 data_time: 0.0148 memory: 19925 grad_norm: 3.8766 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/08/11 01:58:18 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 2.0000e-02 eta: 12:24:22 time: 1.0348 data_time: 0.0164 memory: 19925 grad_norm: 3.8466 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4546 loss: 1.4546 2022/08/11 01:58:34 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 2.0000e-02 eta: 12:24:04 time: 0.8355 data_time: 0.0169 memory: 19925 grad_norm: 3.8238 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5640 loss: 1.5640 2022/08/11 01:58:51 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 2.0000e-02 eta: 12:23:47 time: 0.8457 data_time: 0.0183 memory: 19925 grad_norm: 3.7922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/08/11 01:59:08 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 2.0000e-02 eta: 12:23:29 time: 0.8456 data_time: 0.0159 memory: 19925 grad_norm: 3.8893 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6112 loss: 1.6112 2022/08/11 01:59:29 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 2.0000e-02 eta: 12:23:16 time: 1.0231 data_time: 0.0167 memory: 19925 grad_norm: 3.8167 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5410 loss: 1.5410 2022/08/11 01:59:46 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 2.0000e-02 eta: 12:22:58 time: 0.8476 data_time: 0.0163 memory: 19925 grad_norm: 3.8247 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6006 loss: 1.6006 2022/08/11 02:00:02 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 2.0000e-02 eta: 12:22:41 time: 0.8472 data_time: 0.0177 memory: 19925 grad_norm: 3.9081 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4179 loss: 1.4179 2022/08/11 02:00:34 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 2.0000e-02 eta: 12:22:41 time: 1.5616 data_time: 0.0389 memory: 19925 grad_norm: 3.9035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4231 loss: 1.4231 2022/08/11 02:00:51 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 2.0000e-02 eta: 12:22:23 time: 0.8467 data_time: 0.0235 memory: 19925 grad_norm: 3.9835 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3780 loss: 1.3780 2022/08/11 02:01:09 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 2.0000e-02 eta: 12:22:08 time: 0.9362 data_time: 0.0167 memory: 19925 grad_norm: 3.8651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4905 loss: 1.4905 2022/08/11 02:01:27 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 2.0000e-02 eta: 12:21:51 time: 0.8759 data_time: 0.0174 memory: 19925 grad_norm: 3.9164 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5223 loss: 1.5223 2022/08/11 02:01:48 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 2.0000e-02 eta: 12:21:38 time: 1.0570 data_time: 0.0155 memory: 19925 grad_norm: 3.8939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6262 loss: 1.6262 2022/08/11 02:02:07 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 2.0000e-02 eta: 12:21:23 time: 0.9596 data_time: 0.0175 memory: 19925 grad_norm: 3.9536 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6287 loss: 1.6287 2022/08/11 02:02:25 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 2.0000e-02 eta: 12:21:07 time: 0.9013 data_time: 0.0163 memory: 19925 grad_norm: 3.7841 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6720 loss: 1.6720 2022/08/11 02:02:52 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 2.0000e-02 eta: 12:21:01 time: 1.3306 data_time: 0.0325 memory: 19925 grad_norm: 3.9741 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6988 loss: 1.6988 2022/08/11 02:03:09 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 2.0000e-02 eta: 12:20:43 time: 0.8401 data_time: 0.0158 memory: 19925 grad_norm: 3.8050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4464 loss: 1.4464 2022/08/11 02:03:27 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 2.0000e-02 eta: 12:20:28 time: 0.9292 data_time: 0.0169 memory: 19925 grad_norm: 3.8101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/08/11 02:03:53 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 2.0000e-02 eta: 12:20:20 time: 1.2662 data_time: 0.0173 memory: 19925 grad_norm: 3.9292 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6931 loss: 1.6931 2022/08/11 02:04:09 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 2.0000e-02 eta: 12:20:03 time: 0.8432 data_time: 0.0177 memory: 19925 grad_norm: 3.8953 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5017 loss: 1.5017 2022/08/11 02:04:28 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 2.0000e-02 eta: 12:19:47 time: 0.9071 data_time: 0.0158 memory: 19925 grad_norm: 3.7948 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7355 loss: 1.7355 2022/08/11 02:04:44 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 2.0000e-02 eta: 12:19:29 time: 0.8392 data_time: 0.0181 memory: 19925 grad_norm: 3.9088 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5149 loss: 1.5149 2022/08/11 02:05:13 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 2.0000e-02 eta: 12:19:26 time: 1.4513 data_time: 0.0250 memory: 19925 grad_norm: 3.8413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/08/11 02:05:36 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 2.0000e-02 eta: 12:19:15 time: 1.1462 data_time: 0.0134 memory: 19925 grad_norm: 3.8864 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6364 loss: 1.6364 2022/08/11 02:05:53 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 2.0000e-02 eta: 12:18:58 time: 0.8402 data_time: 0.0172 memory: 19925 grad_norm: 3.8236 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5716 loss: 1.5716 2022/08/11 02:06:10 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 2.0000e-02 eta: 12:18:40 time: 0.8364 data_time: 0.0175 memory: 19925 grad_norm: 3.8684 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6380 loss: 1.6380 2022/08/11 02:06:27 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 2.0000e-02 eta: 12:18:22 time: 0.8426 data_time: 0.0173 memory: 19925 grad_norm: 3.8676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6227 loss: 1.6227 2022/08/11 02:06:44 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 2.0000e-02 eta: 12:18:04 time: 0.8409 data_time: 0.0178 memory: 19925 grad_norm: 3.8709 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6440 loss: 1.6440 2022/08/11 02:07:01 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 2.0000e-02 eta: 12:17:47 time: 0.8480 data_time: 0.0173 memory: 19925 grad_norm: 4.0353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6268 loss: 1.6268 2022/08/11 02:07:17 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 2.0000e-02 eta: 12:17:29 time: 0.8437 data_time: 0.0166 memory: 19925 grad_norm: 4.0684 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5954 loss: 1.5954 2022/08/11 02:07:34 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 2.0000e-02 eta: 12:17:11 time: 0.8356 data_time: 0.0176 memory: 19925 grad_norm: 3.8978 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7184 loss: 1.7184 2022/08/11 02:07:53 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 2.0000e-02 eta: 12:16:55 time: 0.9220 data_time: 0.0963 memory: 19925 grad_norm: 3.9341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6595 loss: 1.6595 2022/08/11 02:08:09 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 2.0000e-02 eta: 12:16:37 time: 0.8421 data_time: 0.0145 memory: 19925 grad_norm: 3.8335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2412 loss: 1.2412 2022/08/11 02:08:26 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 2.0000e-02 eta: 12:16:20 time: 0.8412 data_time: 0.0190 memory: 19925 grad_norm: 3.9968 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5264 loss: 1.5264 2022/08/11 02:08:43 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 2.0000e-02 eta: 12:16:02 time: 0.8397 data_time: 0.0168 memory: 19925 grad_norm: 3.7376 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6291 loss: 1.6291 2022/08/11 02:09:00 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 2.0000e-02 eta: 12:15:44 time: 0.8364 data_time: 0.0179 memory: 19925 grad_norm: 3.8211 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3128 loss: 1.3128 2022/08/11 02:09:17 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 2.0000e-02 eta: 12:15:26 time: 0.8347 data_time: 0.0172 memory: 19925 grad_norm: 3.8350 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4399 loss: 1.4399 2022/08/11 02:09:33 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 2.0000e-02 eta: 12:15:08 time: 0.8356 data_time: 0.0184 memory: 19925 grad_norm: 3.8218 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4597 loss: 1.4597 2022/08/11 02:09:50 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 2.0000e-02 eta: 12:14:50 time: 0.8289 data_time: 0.0177 memory: 19925 grad_norm: 3.8199 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5011 loss: 1.5011 2022/08/11 02:10:07 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 2.0000e-02 eta: 12:14:32 time: 0.8385 data_time: 0.0197 memory: 19925 grad_norm: 3.8247 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6809 loss: 1.6809 2022/08/11 02:10:24 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 2.0000e-02 eta: 12:14:15 time: 0.8643 data_time: 0.0437 memory: 19925 grad_norm: 3.8771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/08/11 02:10:41 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 2.0000e-02 eta: 12:13:57 time: 0.8316 data_time: 0.0188 memory: 19925 grad_norm: 3.8266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5565 loss: 1.5565 2022/08/11 02:10:57 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 2.0000e-02 eta: 12:13:39 time: 0.8408 data_time: 0.0167 memory: 19925 grad_norm: 3.7859 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5408 loss: 1.5408 2022/08/11 02:11:14 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 2.0000e-02 eta: 12:13:21 time: 0.8365 data_time: 0.0171 memory: 19925 grad_norm: 3.8833 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/08/11 02:11:31 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 2.0000e-02 eta: 12:13:04 time: 0.8495 data_time: 0.0172 memory: 19925 grad_norm: 3.9743 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4922 loss: 1.4922 2022/08/11 02:11:48 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 2.0000e-02 eta: 12:12:46 time: 0.8329 data_time: 0.0172 memory: 19925 grad_norm: 3.7748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4602 loss: 1.4602 2022/08/11 02:12:04 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 2.0000e-02 eta: 12:12:28 time: 0.8320 data_time: 0.0171 memory: 19925 grad_norm: 3.8443 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5893 loss: 1.5893 2022/08/11 02:12:06 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 02:12:21 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 2.0000e-02 eta: 12:12:10 time: 0.8358 data_time: 0.0175 memory: 19925 grad_norm: 3.8408 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3764 loss: 1.3764 2022/08/11 02:12:38 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 2.0000e-02 eta: 12:11:52 time: 0.8318 data_time: 0.0162 memory: 19925 grad_norm: 3.8634 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/08/11 02:12:55 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 2.0000e-02 eta: 12:11:34 time: 0.8451 data_time: 0.0285 memory: 19925 grad_norm: 3.9118 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5957 loss: 1.5957 2022/08/11 02:13:11 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 2.0000e-02 eta: 12:11:16 time: 0.8294 data_time: 0.0176 memory: 19925 grad_norm: 3.8298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3145 loss: 1.3145 2022/08/11 02:13:28 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 2.0000e-02 eta: 12:10:58 time: 0.8334 data_time: 0.0166 memory: 19925 grad_norm: 3.8263 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4677 loss: 1.4677 2022/08/11 02:13:45 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 2.0000e-02 eta: 12:10:40 time: 0.8360 data_time: 0.0169 memory: 19925 grad_norm: 3.9259 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/08/11 02:14:01 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 2.0000e-02 eta: 12:10:23 time: 0.8327 data_time: 0.0176 memory: 19925 grad_norm: 3.7073 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5104 loss: 1.5104 2022/08/11 02:14:18 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 2.0000e-02 eta: 12:10:05 time: 0.8389 data_time: 0.0163 memory: 19925 grad_norm: 3.7364 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4520 loss: 1.4520 2022/08/11 02:14:35 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 2.0000e-02 eta: 12:09:47 time: 0.8407 data_time: 0.0164 memory: 19925 grad_norm: 3.8439 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/08/11 02:14:52 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 2.0000e-02 eta: 12:09:29 time: 0.8423 data_time: 0.0163 memory: 19925 grad_norm: 3.8045 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5757 loss: 1.5757 2022/08/11 02:15:08 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 02:15:08 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 2.0000e-02 eta: 12:09:29 time: 0.8550 data_time: 0.0157 memory: 19925 grad_norm: 3.9413 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4615 loss: 1.4615 2022/08/11 02:15:22 - mmengine - INFO - Epoch(val) [23][20/155] eta: 0:01:31 time: 0.6765 data_time: 0.4437 memory: 2570 2022/08/11 02:15:33 - mmengine - INFO - Epoch(val) [23][40/155] eta: 0:01:02 time: 0.5431 data_time: 0.3125 memory: 2570 2022/08/11 02:15:42 - mmengine - INFO - Epoch(val) [23][60/155] eta: 0:00:46 time: 0.4865 data_time: 0.2553 memory: 2570 2022/08/11 02:15:58 - mmengine - INFO - Epoch(val) [23][80/155] eta: 0:00:58 time: 0.7866 data_time: 0.5568 memory: 2570 2022/08/11 02:16:10 - mmengine - INFO - Epoch(val) [23][100/155] eta: 0:00:31 time: 0.5797 data_time: 0.3498 memory: 2570 2022/08/11 02:16:20 - mmengine - INFO - Epoch(val) [23][120/155] eta: 0:00:18 time: 0.5291 data_time: 0.2980 memory: 2570 2022/08/11 02:16:33 - mmengine - INFO - Epoch(val) [23][140/155] eta: 0:00:09 time: 0.6062 data_time: 0.3748 memory: 2570 2022/08/11 02:16:57 - mmengine - INFO - Epoch(val) [23][155/155] acc/top1: 0.6157 acc/top5: 0.8497 acc/mean1: 0.6156 2022/08/11 02:17:22 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 2.0000e-02 eta: 12:08:45 time: 1.2395 data_time: 0.1894 memory: 19925 grad_norm: 3.8688 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4938 loss: 1.4938 2022/08/11 02:17:39 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 2.0000e-02 eta: 12:08:27 time: 0.8301 data_time: 0.0189 memory: 19925 grad_norm: 3.7705 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4746 loss: 1.4746 2022/08/11 02:17:57 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 2.0000e-02 eta: 12:08:11 time: 0.9175 data_time: 0.0174 memory: 19925 grad_norm: 3.7627 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4300 loss: 1.4300 2022/08/11 02:18:14 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 2.0000e-02 eta: 12:07:54 time: 0.8411 data_time: 0.0187 memory: 19925 grad_norm: 3.7580 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4462 loss: 1.4462 2022/08/11 02:18:31 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 2.0000e-02 eta: 12:07:36 time: 0.8323 data_time: 0.0171 memory: 19925 grad_norm: 3.7991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5105 loss: 1.5105 2022/08/11 02:18:47 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 2.0000e-02 eta: 12:07:18 time: 0.8363 data_time: 0.0199 memory: 19925 grad_norm: 3.7803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3731 loss: 1.3731 2022/08/11 02:19:04 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 2.0000e-02 eta: 12:07:00 time: 0.8319 data_time: 0.0158 memory: 19925 grad_norm: 3.7514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4296 loss: 1.4296 2022/08/11 02:19:21 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 2.0000e-02 eta: 12:06:42 time: 0.8381 data_time: 0.0164 memory: 19925 grad_norm: 3.8155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4451 loss: 1.4451 2022/08/11 02:19:38 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 2.0000e-02 eta: 12:06:24 time: 0.8371 data_time: 0.0173 memory: 19925 grad_norm: 3.8860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5722 loss: 1.5722 2022/08/11 02:19:54 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 2.0000e-02 eta: 12:06:06 time: 0.8420 data_time: 0.0185 memory: 19925 grad_norm: 3.8275 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5124 loss: 1.5124 2022/08/11 02:20:14 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 2.0000e-02 eta: 12:05:52 time: 0.9851 data_time: 0.0156 memory: 19925 grad_norm: 3.8882 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4769 loss: 1.4769 2022/08/11 02:20:33 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 2.0000e-02 eta: 12:05:37 time: 0.9350 data_time: 0.0194 memory: 19925 grad_norm: 3.8204 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/08/11 02:20:50 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 2.0000e-02 eta: 12:05:19 time: 0.8326 data_time: 0.0157 memory: 19925 grad_norm: 3.7853 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5427 loss: 1.5427 2022/08/11 02:21:06 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 2.0000e-02 eta: 12:05:01 time: 0.8337 data_time: 0.0192 memory: 19925 grad_norm: 3.8078 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4381 loss: 1.4381 2022/08/11 02:21:23 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 2.0000e-02 eta: 12:04:43 time: 0.8351 data_time: 0.0152 memory: 19925 grad_norm: 3.8216 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6370 loss: 1.6370 2022/08/11 02:21:40 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 2.0000e-02 eta: 12:04:25 time: 0.8351 data_time: 0.0175 memory: 19925 grad_norm: 3.7803 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4603 loss: 1.4603 2022/08/11 02:21:56 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 2.0000e-02 eta: 12:04:07 time: 0.8311 data_time: 0.0168 memory: 19925 grad_norm: 3.9031 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5449 loss: 1.5449 2022/08/11 02:22:13 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 2.0000e-02 eta: 12:03:49 time: 0.8311 data_time: 0.0165 memory: 19925 grad_norm: 3.9385 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5444 loss: 1.5444 2022/08/11 02:22:30 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 2.0000e-02 eta: 12:03:31 time: 0.8338 data_time: 0.0168 memory: 19925 grad_norm: 3.8619 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3415 loss: 1.3415 2022/08/11 02:22:46 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 2.0000e-02 eta: 12:03:13 time: 0.8289 data_time: 0.0171 memory: 19925 grad_norm: 3.7245 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4689 loss: 1.4689 2022/08/11 02:23:03 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 2.0000e-02 eta: 12:02:55 time: 0.8401 data_time: 0.0162 memory: 19925 grad_norm: 3.7488 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.4980 loss: 1.4980 2022/08/11 02:23:20 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 2.0000e-02 eta: 12:02:37 time: 0.8343 data_time: 0.0169 memory: 19925 grad_norm: 3.8729 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4809 loss: 1.4809 2022/08/11 02:23:36 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 2.0000e-02 eta: 12:02:20 time: 0.8333 data_time: 0.0157 memory: 19925 grad_norm: 3.9301 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5897 loss: 1.5897 2022/08/11 02:23:53 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 2.0000e-02 eta: 12:02:02 time: 0.8344 data_time: 0.0169 memory: 19925 grad_norm: 3.9415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/08/11 02:24:10 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 2.0000e-02 eta: 12:01:44 time: 0.8394 data_time: 0.0166 memory: 19925 grad_norm: 3.9211 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.4325 loss: 1.4325 2022/08/11 02:24:27 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 2.0000e-02 eta: 12:01:26 time: 0.8359 data_time: 0.0168 memory: 19925 grad_norm: 3.8194 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4515 loss: 1.4515 2022/08/11 02:24:43 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 2.0000e-02 eta: 12:01:08 time: 0.8339 data_time: 0.0177 memory: 19925 grad_norm: 3.8378 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4291 loss: 1.4291 2022/08/11 02:25:00 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 2.0000e-02 eta: 12:00:50 time: 0.8325 data_time: 0.0174 memory: 19925 grad_norm: 3.9124 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5055 loss: 1.5055 2022/08/11 02:25:17 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 2.0000e-02 eta: 12:00:32 time: 0.8358 data_time: 0.0171 memory: 19925 grad_norm: 3.9058 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6328 loss: 1.6328 2022/08/11 02:25:33 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 2.0000e-02 eta: 12:00:14 time: 0.8317 data_time: 0.0176 memory: 19925 grad_norm: 3.9271 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5525 loss: 1.5525 2022/08/11 02:25:50 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 2.0000e-02 eta: 11:59:57 time: 0.8312 data_time: 0.0162 memory: 19925 grad_norm: 4.0121 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4273 loss: 1.4273 2022/08/11 02:26:07 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 2.0000e-02 eta: 11:59:39 time: 0.8333 data_time: 0.0168 memory: 19925 grad_norm: 3.7833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4279 loss: 1.4279 2022/08/11 02:26:23 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 2.0000e-02 eta: 11:59:21 time: 0.8329 data_time: 0.0185 memory: 19925 grad_norm: 3.8116 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5065 loss: 1.5065 2022/08/11 02:26:40 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 2.0000e-02 eta: 11:59:03 time: 0.8340 data_time: 0.0170 memory: 19925 grad_norm: 3.7251 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5043 loss: 1.5043 2022/08/11 02:26:57 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 2.0000e-02 eta: 11:58:45 time: 0.8364 data_time: 0.0171 memory: 19925 grad_norm: 3.8278 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6459 loss: 1.6459 2022/08/11 02:27:13 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 2.0000e-02 eta: 11:58:27 time: 0.8386 data_time: 0.0178 memory: 19925 grad_norm: 3.9076 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6403 loss: 1.6403 2022/08/11 02:27:30 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 2.0000e-02 eta: 11:58:09 time: 0.8378 data_time: 0.0162 memory: 19925 grad_norm: 3.8795 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3926 loss: 1.3926 2022/08/11 02:27:47 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 2.0000e-02 eta: 11:57:52 time: 0.8468 data_time: 0.0170 memory: 19925 grad_norm: 3.8934 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4309 loss: 1.4309 2022/08/11 02:28:05 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 2.0000e-02 eta: 11:57:36 time: 0.9014 data_time: 0.0453 memory: 19925 grad_norm: 3.9131 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4630 loss: 1.4630 2022/08/11 02:28:08 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 02:28:22 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 2.0000e-02 eta: 11:57:18 time: 0.8344 data_time: 0.0186 memory: 19925 grad_norm: 3.9456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4817 loss: 1.4817 2022/08/11 02:28:39 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 2.0000e-02 eta: 11:57:00 time: 0.8342 data_time: 0.0162 memory: 19925 grad_norm: 3.8779 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5537 loss: 1.5537 2022/08/11 02:28:55 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 2.0000e-02 eta: 11:56:42 time: 0.8344 data_time: 0.0175 memory: 19925 grad_norm: 3.7691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2743 loss: 1.2743 2022/08/11 02:29:12 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 2.0000e-02 eta: 11:56:24 time: 0.8401 data_time: 0.0167 memory: 19925 grad_norm: 3.8191 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5182 loss: 1.5182 2022/08/11 02:29:29 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 2.0000e-02 eta: 11:56:07 time: 0.8437 data_time: 0.0172 memory: 19925 grad_norm: 3.8559 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4743 loss: 1.4743 2022/08/11 02:29:46 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 2.0000e-02 eta: 11:55:49 time: 0.8341 data_time: 0.0165 memory: 19925 grad_norm: 3.9271 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7667 loss: 1.7667 2022/08/11 02:30:02 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 2.0000e-02 eta: 11:55:31 time: 0.8387 data_time: 0.0187 memory: 19925 grad_norm: 3.8597 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4614 loss: 1.4614 2022/08/11 02:30:20 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 2.0000e-02 eta: 11:55:14 time: 0.8706 data_time: 0.0505 memory: 19925 grad_norm: 3.9312 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7024 loss: 1.7024 2022/08/11 02:30:36 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 2.0000e-02 eta: 11:54:56 time: 0.8345 data_time: 0.0178 memory: 19925 grad_norm: 3.9358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3481 loss: 1.3481 2022/08/11 02:30:53 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 2.0000e-02 eta: 11:54:38 time: 0.8337 data_time: 0.0176 memory: 19925 grad_norm: 3.9067 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3710 loss: 1.3710 2022/08/11 02:31:10 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 2.0000e-02 eta: 11:54:20 time: 0.8344 data_time: 0.0187 memory: 19925 grad_norm: 3.9141 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5717 loss: 1.5717 2022/08/11 02:31:27 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 2.0000e-02 eta: 11:54:03 time: 0.8362 data_time: 0.0157 memory: 19925 grad_norm: 3.8863 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5612 loss: 1.5612 2022/08/11 02:31:43 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 2.0000e-02 eta: 11:53:45 time: 0.8353 data_time: 0.0180 memory: 19925 grad_norm: 3.8622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6750 loss: 1.6750 2022/08/11 02:32:00 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 2.0000e-02 eta: 11:53:27 time: 0.8339 data_time: 0.0156 memory: 19925 grad_norm: 3.8541 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3855 loss: 1.3855 2022/08/11 02:32:17 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 2.0000e-02 eta: 11:53:09 time: 0.8329 data_time: 0.0193 memory: 19925 grad_norm: 3.8048 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5524 loss: 1.5524 2022/08/11 02:32:33 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 2.0000e-02 eta: 11:52:51 time: 0.8332 data_time: 0.0170 memory: 19925 grad_norm: 3.9125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5780 loss: 1.5780 2022/08/11 02:32:50 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 2.0000e-02 eta: 11:52:33 time: 0.8349 data_time: 0.0179 memory: 19925 grad_norm: 3.7649 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5240 loss: 1.5240 2022/08/11 02:33:07 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 2.0000e-02 eta: 11:52:15 time: 0.8319 data_time: 0.0169 memory: 19925 grad_norm: 3.8741 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6438 loss: 1.6438 2022/08/11 02:33:23 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 2.0000e-02 eta: 11:51:57 time: 0.8311 data_time: 0.0182 memory: 19925 grad_norm: 3.8725 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4553 loss: 1.4553 2022/08/11 02:33:40 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 2.0000e-02 eta: 11:51:40 time: 0.8311 data_time: 0.0154 memory: 19925 grad_norm: 3.9162 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3384 loss: 1.3384 2022/08/11 02:33:57 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 2.0000e-02 eta: 11:51:22 time: 0.8314 data_time: 0.0182 memory: 19925 grad_norm: 3.8474 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7532 loss: 1.7532 2022/08/11 02:34:13 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 2.0000e-02 eta: 11:51:04 time: 0.8290 data_time: 0.0163 memory: 19925 grad_norm: 3.9321 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5391 loss: 1.5391 2022/08/11 02:34:30 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 2.0000e-02 eta: 11:50:46 time: 0.8342 data_time: 0.0167 memory: 19925 grad_norm: 3.7987 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6005 loss: 1.6005 2022/08/11 02:34:47 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 2.0000e-02 eta: 11:50:28 time: 0.8360 data_time: 0.0165 memory: 19925 grad_norm: 3.8791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3819 loss: 1.3819 2022/08/11 02:35:03 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 2.0000e-02 eta: 11:50:10 time: 0.8349 data_time: 0.0166 memory: 19925 grad_norm: 3.8386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5091 loss: 1.5091 2022/08/11 02:35:20 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 2.0000e-02 eta: 11:49:53 time: 0.8518 data_time: 0.0302 memory: 19925 grad_norm: 3.8797 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4797 loss: 1.4797 2022/08/11 02:35:37 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 2.0000e-02 eta: 11:49:35 time: 0.8345 data_time: 0.0173 memory: 19925 grad_norm: 3.7957 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6603 loss: 1.6603 2022/08/11 02:35:54 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 2.0000e-02 eta: 11:49:17 time: 0.8337 data_time: 0.0155 memory: 19925 grad_norm: 3.8604 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6284 loss: 1.6284 2022/08/11 02:36:11 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 2.0000e-02 eta: 11:48:59 time: 0.8410 data_time: 0.0185 memory: 19925 grad_norm: 3.7743 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4202 loss: 1.4202 2022/08/11 02:36:27 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 2.0000e-02 eta: 11:48:42 time: 0.8429 data_time: 0.0189 memory: 19925 grad_norm: 3.8652 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5478 loss: 1.5478 2022/08/11 02:36:44 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 2.0000e-02 eta: 11:48:24 time: 0.8334 data_time: 0.0154 memory: 19925 grad_norm: 3.8779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6035 loss: 1.6035 2022/08/11 02:37:01 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 2.0000e-02 eta: 11:48:06 time: 0.8377 data_time: 0.0167 memory: 19925 grad_norm: 3.8753 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5431 loss: 1.5431 2022/08/11 02:37:18 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 2.0000e-02 eta: 11:47:48 time: 0.8370 data_time: 0.0166 memory: 19925 grad_norm: 3.9034 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4847 loss: 1.4847 2022/08/11 02:37:34 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 2.0000e-02 eta: 11:47:31 time: 0.8386 data_time: 0.0187 memory: 19925 grad_norm: 3.9645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5835 loss: 1.5835 2022/08/11 02:37:53 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 2.0000e-02 eta: 11:47:15 time: 0.9278 data_time: 0.0174 memory: 19925 grad_norm: 3.8376 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7232 loss: 1.7232 2022/08/11 02:38:10 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 2.0000e-02 eta: 11:46:57 time: 0.8374 data_time: 0.0165 memory: 19925 grad_norm: 3.8436 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5373 loss: 1.5373 2022/08/11 02:38:27 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 2.0000e-02 eta: 11:46:39 time: 0.8437 data_time: 0.0164 memory: 19925 grad_norm: 3.7184 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/08/11 02:38:45 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 2.0000e-02 eta: 11:46:23 time: 0.9132 data_time: 0.0169 memory: 19925 grad_norm: 3.8213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6037 loss: 1.6037 2022/08/11 02:39:04 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 2.0000e-02 eta: 11:46:08 time: 0.9580 data_time: 0.0168 memory: 19925 grad_norm: 3.8334 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6415 loss: 1.6415 2022/08/11 02:39:23 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 2.0000e-02 eta: 11:45:53 time: 0.9534 data_time: 0.0159 memory: 19925 grad_norm: 3.9309 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5628 loss: 1.5628 2022/08/11 02:39:46 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 2.0000e-02 eta: 11:45:43 time: 1.1729 data_time: 0.0175 memory: 19925 grad_norm: 3.7086 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6005 loss: 1.6005 2022/08/11 02:40:03 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 2.0000e-02 eta: 11:45:25 time: 0.8358 data_time: 0.0162 memory: 19925 grad_norm: 3.7735 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5867 loss: 1.5867 2022/08/11 02:40:23 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 2.0000e-02 eta: 11:45:11 time: 0.9977 data_time: 0.0222 memory: 19925 grad_norm: 3.8132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/11 02:40:40 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 2.0000e-02 eta: 11:44:53 time: 0.8582 data_time: 0.0186 memory: 19925 grad_norm: 3.8651 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4114 loss: 1.4114 2022/08/11 02:40:57 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 2.0000e-02 eta: 11:44:36 time: 0.8502 data_time: 0.0255 memory: 19925 grad_norm: 3.8834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5890 loss: 1.5890 2022/08/11 02:41:14 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 2.0000e-02 eta: 11:44:18 time: 0.8340 data_time: 0.0169 memory: 19925 grad_norm: 3.7982 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5502 loss: 1.5502 2022/08/11 02:41:31 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 2.0000e-02 eta: 11:44:00 time: 0.8389 data_time: 0.0171 memory: 19925 grad_norm: 3.7354 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2997 loss: 1.2997 2022/08/11 02:41:48 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 2.0000e-02 eta: 11:43:42 time: 0.8387 data_time: 0.0186 memory: 19925 grad_norm: 3.9591 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5627 loss: 1.5627 2022/08/11 02:42:05 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 2.0000e-02 eta: 11:43:25 time: 0.8754 data_time: 0.0161 memory: 19925 grad_norm: 3.7802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4087 loss: 1.4087 2022/08/11 02:42:22 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 2.0000e-02 eta: 11:43:08 time: 0.8367 data_time: 0.0187 memory: 19925 grad_norm: 3.8629 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3997 loss: 1.3997 2022/08/11 02:42:24 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 02:42:39 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 2.0000e-02 eta: 11:42:50 time: 0.8346 data_time: 0.0141 memory: 19925 grad_norm: 3.7871 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4999 loss: 1.4999 2022/08/11 02:42:56 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 2.0000e-02 eta: 11:42:32 time: 0.8483 data_time: 0.0178 memory: 19925 grad_norm: 3.7883 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4311 loss: 1.4311 2022/08/11 02:43:12 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 2.0000e-02 eta: 11:42:15 time: 0.8382 data_time: 0.0177 memory: 19925 grad_norm: 3.8415 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5425 loss: 1.5425 2022/08/11 02:43:34 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 2.0000e-02 eta: 11:42:03 time: 1.1036 data_time: 0.0206 memory: 19925 grad_norm: 3.9253 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5864 loss: 1.5864 2022/08/11 02:43:51 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 02:43:51 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 2.0000e-02 eta: 11:42:03 time: 0.8786 data_time: 0.0167 memory: 19925 grad_norm: 4.0000 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5840 loss: 1.5840 2022/08/11 02:43:51 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/11 02:44:06 - mmengine - INFO - Epoch(val) [24][20/155] eta: 0:01:23 time: 0.6153 data_time: 0.3791 memory: 2570 2022/08/11 02:44:18 - mmengine - INFO - Epoch(val) [24][40/155] eta: 0:01:12 time: 0.6271 data_time: 0.3957 memory: 2570 2022/08/11 02:44:31 - mmengine - INFO - Epoch(val) [24][60/155] eta: 0:00:58 time: 0.6191 data_time: 0.3901 memory: 2570 2022/08/11 02:44:44 - mmengine - INFO - Epoch(val) [24][80/155] eta: 0:00:50 time: 0.6769 data_time: 0.4458 memory: 2570 2022/08/11 02:44:57 - mmengine - INFO - Epoch(val) [24][100/155] eta: 0:00:36 time: 0.6657 data_time: 0.4367 memory: 2570 2022/08/11 02:45:14 - mmengine - INFO - Epoch(val) [24][120/155] eta: 0:00:28 time: 0.8213 data_time: 0.5907 memory: 2570 2022/08/11 02:45:27 - mmengine - INFO - Epoch(val) [24][140/155] eta: 0:00:09 time: 0.6431 data_time: 0.4135 memory: 2570 2022/08/11 02:45:58 - mmengine - INFO - Epoch(val) [24][155/155] acc/top1: 0.6177 acc/top5: 0.8494 acc/mean1: 0.6174 2022/08/11 02:46:25 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 2.0000e-02 eta: 11:41:21 time: 1.3364 data_time: 0.1741 memory: 19925 grad_norm: 3.8734 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4792 loss: 1.4792 2022/08/11 02:46:41 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 2.0000e-02 eta: 11:41:04 time: 0.8376 data_time: 0.0147 memory: 19925 grad_norm: 3.8901 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4738 loss: 1.4738 2022/08/11 02:46:58 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 2.0000e-02 eta: 11:40:46 time: 0.8441 data_time: 0.0196 memory: 19925 grad_norm: 3.9069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4902 loss: 1.4902 2022/08/11 02:47:15 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 2.0000e-02 eta: 11:40:28 time: 0.8357 data_time: 0.0174 memory: 19925 grad_norm: 3.7442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4220 loss: 1.4220 2022/08/11 02:47:32 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 2.0000e-02 eta: 11:40:11 time: 0.8459 data_time: 0.0187 memory: 19925 grad_norm: 3.7496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5401 loss: 1.5401 2022/08/11 02:47:48 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 2.0000e-02 eta: 11:39:53 time: 0.8343 data_time: 0.0168 memory: 19925 grad_norm: 3.8169 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5299 loss: 1.5299 2022/08/11 02:48:09 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 2.0000e-02 eta: 11:39:40 time: 1.0399 data_time: 0.0183 memory: 19925 grad_norm: 3.8803 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/08/11 02:48:26 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 2.0000e-02 eta: 11:39:22 time: 0.8409 data_time: 0.0150 memory: 19925 grad_norm: 3.7448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/08/11 02:48:43 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 2.0000e-02 eta: 11:39:04 time: 0.8303 data_time: 0.0172 memory: 19925 grad_norm: 3.8868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4714 loss: 1.4714 2022/08/11 02:48:59 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 2.0000e-02 eta: 11:38:46 time: 0.8328 data_time: 0.0164 memory: 19925 grad_norm: 3.8163 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5856 loss: 1.5856 2022/08/11 02:49:16 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 2.0000e-02 eta: 11:38:28 time: 0.8414 data_time: 0.0198 memory: 19925 grad_norm: 3.7944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5484 loss: 1.5484 2022/08/11 02:49:33 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 2.0000e-02 eta: 11:38:11 time: 0.8347 data_time: 0.0180 memory: 19925 grad_norm: 3.7893 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5528 loss: 1.5528 2022/08/11 02:49:50 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 2.0000e-02 eta: 11:37:53 time: 0.8365 data_time: 0.0166 memory: 19925 grad_norm: 3.9204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5916 loss: 1.5916 2022/08/11 02:50:06 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 2.0000e-02 eta: 11:37:35 time: 0.8367 data_time: 0.0185 memory: 19925 grad_norm: 3.8892 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3342 loss: 1.3342 2022/08/11 02:50:24 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 2.0000e-02 eta: 11:37:18 time: 0.8772 data_time: 0.0578 memory: 19925 grad_norm: 3.8761 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5429 loss: 1.5429 2022/08/11 02:50:41 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 2.0000e-02 eta: 11:37:00 time: 0.8305 data_time: 0.0129 memory: 19925 grad_norm: 3.8083 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3042 loss: 1.3042 2022/08/11 02:50:57 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 2.0000e-02 eta: 11:36:42 time: 0.8333 data_time: 0.0187 memory: 19925 grad_norm: 3.9246 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6483 loss: 1.6483 2022/08/11 02:51:14 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 2.0000e-02 eta: 11:36:24 time: 0.8288 data_time: 0.0180 memory: 19925 grad_norm: 3.8732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/08/11 02:51:31 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 2.0000e-02 eta: 11:36:07 time: 0.8391 data_time: 0.0171 memory: 19925 grad_norm: 3.8970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5861 loss: 1.5861 2022/08/11 02:51:47 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 2.0000e-02 eta: 11:35:49 time: 0.8314 data_time: 0.0181 memory: 19925 grad_norm: 3.8287 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4580 loss: 1.4580 2022/08/11 02:52:04 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 2.0000e-02 eta: 11:35:31 time: 0.8373 data_time: 0.0166 memory: 19925 grad_norm: 3.9947 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4547 loss: 1.4547 2022/08/11 02:52:21 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 2.0000e-02 eta: 11:35:13 time: 0.8348 data_time: 0.0170 memory: 19925 grad_norm: 3.8227 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/08/11 02:52:37 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 2.0000e-02 eta: 11:34:56 time: 0.8391 data_time: 0.0172 memory: 19925 grad_norm: 3.8561 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/08/11 02:52:54 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 2.0000e-02 eta: 11:34:38 time: 0.8343 data_time: 0.0166 memory: 19925 grad_norm: 3.9064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4336 loss: 1.4336 2022/08/11 02:53:12 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 2.0000e-02 eta: 11:34:21 time: 0.8971 data_time: 0.0194 memory: 19925 grad_norm: 3.9060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4126 loss: 1.4126 2022/08/11 02:53:29 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 2.0000e-02 eta: 11:34:04 time: 0.8517 data_time: 0.0188 memory: 19925 grad_norm: 3.8981 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4979 loss: 1.4979 2022/08/11 02:53:46 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 2.0000e-02 eta: 11:33:46 time: 0.8416 data_time: 0.0205 memory: 19925 grad_norm: 3.8279 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5176 loss: 1.5176 2022/08/11 02:54:03 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 2.0000e-02 eta: 11:33:28 time: 0.8331 data_time: 0.0146 memory: 19925 grad_norm: 3.9254 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6547 loss: 1.6547 2022/08/11 02:54:19 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 2.0000e-02 eta: 11:33:11 time: 0.8331 data_time: 0.0175 memory: 19925 grad_norm: 3.8095 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3511 loss: 1.3511 2022/08/11 02:54:36 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 2.0000e-02 eta: 11:32:53 time: 0.8337 data_time: 0.0170 memory: 19925 grad_norm: 3.9060 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5690 loss: 1.5690 2022/08/11 02:54:53 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 2.0000e-02 eta: 11:32:35 time: 0.8340 data_time: 0.0174 memory: 19925 grad_norm: 3.7983 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5139 loss: 1.5139 2022/08/11 02:55:09 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 2.0000e-02 eta: 11:32:17 time: 0.8343 data_time: 0.0166 memory: 19925 grad_norm: 3.8833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4556 loss: 1.4556 2022/08/11 02:55:26 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 2.0000e-02 eta: 11:32:00 time: 0.8498 data_time: 0.0205 memory: 19925 grad_norm: 3.8910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5290 loss: 1.5290 2022/08/11 02:55:43 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 2.0000e-02 eta: 11:31:42 time: 0.8346 data_time: 0.0181 memory: 19925 grad_norm: 3.7635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3769 loss: 1.3769 2022/08/11 02:56:00 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 2.0000e-02 eta: 11:31:24 time: 0.8413 data_time: 0.0169 memory: 19925 grad_norm: 3.8899 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4449 loss: 1.4449 2022/08/11 02:56:17 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 2.0000e-02 eta: 11:31:06 time: 0.8357 data_time: 0.0167 memory: 19925 grad_norm: 3.8971 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5803 loss: 1.5803 2022/08/11 02:56:38 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 2.0000e-02 eta: 11:30:53 time: 1.0569 data_time: 0.0166 memory: 19925 grad_norm: 3.8187 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4938 loss: 1.4938 2022/08/11 02:56:57 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 2.0000e-02 eta: 11:30:38 time: 0.9471 data_time: 0.0168 memory: 19925 grad_norm: 3.9083 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6314 loss: 1.6314 2022/08/11 02:57:13 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 2.0000e-02 eta: 11:30:20 time: 0.8307 data_time: 0.0184 memory: 19925 grad_norm: 3.9474 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4976 loss: 1.4976 2022/08/11 02:57:31 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 2.0000e-02 eta: 11:30:03 time: 0.8582 data_time: 0.0165 memory: 19925 grad_norm: 3.8466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4318 loss: 1.4318 2022/08/11 02:57:47 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 2.0000e-02 eta: 11:29:45 time: 0.8422 data_time: 0.0164 memory: 19925 grad_norm: 3.8888 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4696 loss: 1.4696 2022/08/11 02:58:07 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 2.0000e-02 eta: 11:29:30 time: 0.9686 data_time: 0.0193 memory: 19925 grad_norm: 3.8390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/08/11 02:58:24 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 2.0000e-02 eta: 11:29:12 time: 0.8408 data_time: 0.0176 memory: 19925 grad_norm: 3.8760 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4886 loss: 1.4886 2022/08/11 02:58:40 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 2.0000e-02 eta: 11:28:55 time: 0.8360 data_time: 0.0197 memory: 19925 grad_norm: 3.8440 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4022 loss: 1.4022 2022/08/11 02:58:57 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 2.0000e-02 eta: 11:28:37 time: 0.8402 data_time: 0.0187 memory: 19925 grad_norm: 3.7435 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3529 loss: 1.3529 2022/08/11 02:59:01 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 02:59:14 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 2.0000e-02 eta: 11:28:19 time: 0.8359 data_time: 0.0196 memory: 19925 grad_norm: 3.7341 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5384 loss: 1.5384 2022/08/11 02:59:30 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 2.0000e-02 eta: 11:28:01 time: 0.8334 data_time: 0.0190 memory: 19925 grad_norm: 3.8702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5423 loss: 1.5423 2022/08/11 02:59:47 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 2.0000e-02 eta: 11:27:43 time: 0.8321 data_time: 0.0176 memory: 19925 grad_norm: 3.9383 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6593 loss: 1.6593 2022/08/11 03:00:04 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 2.0000e-02 eta: 11:27:26 time: 0.8356 data_time: 0.0180 memory: 19925 grad_norm: 3.8582 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4181 loss: 1.4181 2022/08/11 03:00:21 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 2.0000e-02 eta: 11:27:09 time: 0.8649 data_time: 0.0443 memory: 19925 grad_norm: 3.9624 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6100 loss: 1.6100 2022/08/11 03:00:38 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 2.0000e-02 eta: 11:26:51 time: 0.8429 data_time: 0.0193 memory: 19925 grad_norm: 3.9516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7005 loss: 1.7005 2022/08/11 03:00:55 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 2.0000e-02 eta: 11:26:33 time: 0.8414 data_time: 0.0177 memory: 19925 grad_norm: 3.8316 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7270 loss: 1.7270 2022/08/11 03:01:13 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 2.0000e-02 eta: 11:26:17 time: 0.9048 data_time: 0.0216 memory: 19925 grad_norm: 3.7988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4750 loss: 1.4750 2022/08/11 03:01:33 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 2.0000e-02 eta: 11:26:03 time: 1.0158 data_time: 0.0170 memory: 19925 grad_norm: 3.9407 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5564 loss: 1.5564 2022/08/11 03:01:52 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 2.0000e-02 eta: 11:25:47 time: 0.9182 data_time: 0.0208 memory: 19925 grad_norm: 3.9020 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/08/11 03:02:08 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 2.0000e-02 eta: 11:25:29 time: 0.8323 data_time: 0.0170 memory: 19925 grad_norm: 3.8195 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4943 loss: 1.4943 2022/08/11 03:02:25 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 2.0000e-02 eta: 11:25:11 time: 0.8430 data_time: 0.0268 memory: 19925 grad_norm: 3.9988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/11 03:02:42 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 2.0000e-02 eta: 11:24:54 time: 0.8312 data_time: 0.0183 memory: 19925 grad_norm: 3.7522 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7193 loss: 1.7193 2022/08/11 03:02:58 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 2.0000e-02 eta: 11:24:36 time: 0.8335 data_time: 0.0201 memory: 19925 grad_norm: 3.7390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3745 loss: 1.3745 2022/08/11 03:03:15 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 2.0000e-02 eta: 11:24:18 time: 0.8316 data_time: 0.0157 memory: 19925 grad_norm: 3.9390 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6923 loss: 1.6923 2022/08/11 03:03:32 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 2.0000e-02 eta: 11:24:00 time: 0.8315 data_time: 0.0166 memory: 19925 grad_norm: 3.9755 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6224 loss: 1.6224 2022/08/11 03:03:48 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 2.0000e-02 eta: 11:23:42 time: 0.8315 data_time: 0.0177 memory: 19925 grad_norm: 3.9290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/08/11 03:04:05 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 2.0000e-02 eta: 11:23:24 time: 0.8347 data_time: 0.0162 memory: 19925 grad_norm: 3.8708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/08/11 03:04:22 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 2.0000e-02 eta: 11:23:07 time: 0.8334 data_time: 0.0180 memory: 19925 grad_norm: 3.8077 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4641 loss: 1.4641 2022/08/11 03:04:39 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 2.0000e-02 eta: 11:22:49 time: 0.8373 data_time: 0.0182 memory: 19925 grad_norm: 3.8556 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4459 loss: 1.4459 2022/08/11 03:04:55 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 2.0000e-02 eta: 11:22:31 time: 0.8336 data_time: 0.0177 memory: 19925 grad_norm: 3.9492 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5222 loss: 1.5222 2022/08/11 03:05:12 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 2.0000e-02 eta: 11:22:13 time: 0.8366 data_time: 0.0211 memory: 19925 grad_norm: 3.8105 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5013 loss: 1.5013 2022/08/11 03:05:29 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 2.0000e-02 eta: 11:21:56 time: 0.8341 data_time: 0.0198 memory: 19925 grad_norm: 3.9169 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4351 loss: 1.4351 2022/08/11 03:05:45 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 2.0000e-02 eta: 11:21:38 time: 0.8348 data_time: 0.0162 memory: 19925 grad_norm: 3.9378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4858 loss: 1.4858 2022/08/11 03:06:02 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 2.0000e-02 eta: 11:21:20 time: 0.8322 data_time: 0.0188 memory: 19925 grad_norm: 3.8399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/08/11 03:06:19 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 2.0000e-02 eta: 11:21:02 time: 0.8360 data_time: 0.0187 memory: 19925 grad_norm: 3.9085 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3420 loss: 1.3420 2022/08/11 03:06:35 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 2.0000e-02 eta: 11:20:44 time: 0.8318 data_time: 0.0146 memory: 19925 grad_norm: 3.7878 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4627 loss: 1.4627 2022/08/11 03:06:52 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 2.0000e-02 eta: 11:20:26 time: 0.8314 data_time: 0.0199 memory: 19925 grad_norm: 3.9683 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5583 loss: 1.5583 2022/08/11 03:07:09 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 2.0000e-02 eta: 11:20:09 time: 0.8345 data_time: 0.0162 memory: 19925 grad_norm: 3.7648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5663 loss: 1.5663 2022/08/11 03:07:25 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 2.0000e-02 eta: 11:19:51 time: 0.8318 data_time: 0.0169 memory: 19925 grad_norm: 3.7860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4863 loss: 1.4863 2022/08/11 03:07:42 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 2.0000e-02 eta: 11:19:33 time: 0.8344 data_time: 0.0178 memory: 19925 grad_norm: 3.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3434 loss: 1.3434 2022/08/11 03:08:00 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 2.0000e-02 eta: 11:19:17 time: 0.9167 data_time: 0.0181 memory: 19925 grad_norm: 3.8857 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5143 loss: 1.5143 2022/08/11 03:08:20 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 2.0000e-02 eta: 11:19:02 time: 0.9924 data_time: 0.0154 memory: 19925 grad_norm: 3.8309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3666 loss: 1.3666 2022/08/11 03:08:37 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 2.0000e-02 eta: 11:18:45 time: 0.8334 data_time: 0.0172 memory: 19925 grad_norm: 3.8903 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4893 loss: 1.4893 2022/08/11 03:08:54 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 2.0000e-02 eta: 11:18:27 time: 0.8388 data_time: 0.0188 memory: 19925 grad_norm: 3.9298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4282 loss: 1.4282 2022/08/11 03:09:10 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 2.0000e-02 eta: 11:18:09 time: 0.8413 data_time: 0.0206 memory: 19925 grad_norm: 3.8630 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5453 loss: 1.5453 2022/08/11 03:09:27 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 2.0000e-02 eta: 11:17:52 time: 0.8336 data_time: 0.0158 memory: 19925 grad_norm: 3.8918 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6313 loss: 1.6313 2022/08/11 03:09:44 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 2.0000e-02 eta: 11:17:34 time: 0.8447 data_time: 0.0168 memory: 19925 grad_norm: 3.9554 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/08/11 03:10:01 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 2.0000e-02 eta: 11:17:16 time: 0.8323 data_time: 0.0179 memory: 19925 grad_norm: 3.9166 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5660 loss: 1.5660 2022/08/11 03:10:18 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 2.0000e-02 eta: 11:16:58 time: 0.8387 data_time: 0.0189 memory: 19925 grad_norm: 3.8706 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5485 loss: 1.5485 2022/08/11 03:10:34 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 2.0000e-02 eta: 11:16:41 time: 0.8412 data_time: 0.0204 memory: 19925 grad_norm: 3.9819 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5275 loss: 1.5275 2022/08/11 03:10:51 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 2.0000e-02 eta: 11:16:23 time: 0.8358 data_time: 0.0189 memory: 19925 grad_norm: 3.8604 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6205 loss: 1.6205 2022/08/11 03:11:09 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 2.0000e-02 eta: 11:16:07 time: 0.9038 data_time: 0.0147 memory: 19925 grad_norm: 3.8326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5400 loss: 1.5400 2022/08/11 03:11:29 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 2.0000e-02 eta: 11:15:52 time: 1.0012 data_time: 0.0174 memory: 19925 grad_norm: 3.8236 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4276 loss: 1.4276 2022/08/11 03:11:46 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 2.0000e-02 eta: 11:15:34 time: 0.8308 data_time: 0.0167 memory: 19925 grad_norm: 3.9367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4880 loss: 1.4880 2022/08/11 03:12:03 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 2.0000e-02 eta: 11:15:17 time: 0.8375 data_time: 0.0181 memory: 19925 grad_norm: 3.9048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7857 loss: 1.7857 2022/08/11 03:12:19 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 2.0000e-02 eta: 11:14:59 time: 0.8319 data_time: 0.0180 memory: 19925 grad_norm: 3.8407 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/08/11 03:12:36 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 2.0000e-02 eta: 11:14:41 time: 0.8376 data_time: 0.0182 memory: 19925 grad_norm: 3.7917 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3874 loss: 1.3874 2022/08/11 03:12:54 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 03:12:54 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 2.0000e-02 eta: 11:14:41 time: 0.9370 data_time: 0.0163 memory: 19925 grad_norm: 4.0123 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.5356 loss: 1.5356 2022/08/11 03:13:07 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:01:30 time: 0.6668 data_time: 0.4335 memory: 2570 2022/08/11 03:13:14 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:41 time: 0.3567 data_time: 0.1249 memory: 2570 2022/08/11 03:13:27 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:01:01 time: 0.6486 data_time: 0.4152 memory: 2570 2022/08/11 03:13:35 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:29 time: 0.3977 data_time: 0.1655 memory: 2570 2022/08/11 03:13:47 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:31 time: 0.5779 data_time: 0.3494 memory: 2570 2022/08/11 03:13:59 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:21 time: 0.6179 data_time: 0.3850 memory: 2570 2022/08/11 03:14:15 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:11 time: 0.7736 data_time: 0.5437 memory: 2570 2022/08/11 03:15:10 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6179 acc/top5: 0.8452 acc/mean1: 0.6177 2022/08/11 03:15:36 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 2.0000e-03 eta: 11:14:00 time: 1.3139 data_time: 0.2574 memory: 19925 grad_norm: 3.5848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4978 loss: 1.4978 2022/08/11 03:15:41 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 03:15:54 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 2.0000e-03 eta: 11:13:44 time: 0.8907 data_time: 0.0183 memory: 19925 grad_norm: 3.5705 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4591 loss: 1.4591 2022/08/11 03:16:12 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 2.0000e-03 eta: 11:13:27 time: 0.8958 data_time: 0.0248 memory: 19925 grad_norm: 3.5217 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3589 loss: 1.3589 2022/08/11 03:16:29 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 2.0000e-03 eta: 11:13:09 time: 0.8406 data_time: 0.0164 memory: 19925 grad_norm: 3.5406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2238 loss: 1.2238 2022/08/11 03:16:47 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 2.0000e-03 eta: 11:12:54 time: 0.9306 data_time: 0.0170 memory: 19925 grad_norm: 3.5379 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3012 loss: 1.3012 2022/08/11 03:17:09 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 2.0000e-03 eta: 11:12:40 time: 1.0667 data_time: 0.0158 memory: 19925 grad_norm: 3.4328 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3630 loss: 1.3630 2022/08/11 03:17:26 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 2.0000e-03 eta: 11:12:23 time: 0.8359 data_time: 0.0165 memory: 19925 grad_norm: 3.4738 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2756 loss: 1.2756 2022/08/11 03:17:43 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 2.0000e-03 eta: 11:12:06 time: 0.8986 data_time: 0.0479 memory: 19925 grad_norm: 3.5297 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2542 loss: 1.2542 2022/08/11 03:18:05 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 2.0000e-03 eta: 11:11:54 time: 1.0936 data_time: 0.0288 memory: 19925 grad_norm: 3.4631 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2174 loss: 1.2174 2022/08/11 03:18:22 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 2.0000e-03 eta: 11:11:36 time: 0.8360 data_time: 0.0186 memory: 19925 grad_norm: 3.4065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/08/11 03:18:39 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 2.0000e-03 eta: 11:11:18 time: 0.8417 data_time: 0.0177 memory: 19925 grad_norm: 3.5026 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1159 loss: 1.1159 2022/08/11 03:18:58 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 2.0000e-03 eta: 11:11:03 time: 0.9526 data_time: 0.0497 memory: 19925 grad_norm: 3.5260 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3354 loss: 1.3354 2022/08/11 03:19:18 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 2.0000e-03 eta: 11:10:48 time: 0.9844 data_time: 0.0224 memory: 19925 grad_norm: 3.5817 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1821 loss: 1.1821 2022/08/11 03:19:34 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 2.0000e-03 eta: 11:10:30 time: 0.8377 data_time: 0.0186 memory: 19925 grad_norm: 3.4378 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0792 loss: 1.0792 2022/08/11 03:19:53 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 2.0000e-03 eta: 11:10:14 time: 0.9240 data_time: 0.1008 memory: 19925 grad_norm: 3.4115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1052 loss: 1.1052 2022/08/11 03:20:10 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 2.0000e-03 eta: 11:09:57 time: 0.8374 data_time: 0.0146 memory: 19925 grad_norm: 3.5334 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1971 loss: 1.1971 2022/08/11 03:20:27 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 2.0000e-03 eta: 11:09:39 time: 0.8442 data_time: 0.0195 memory: 19925 grad_norm: 3.5604 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2023 loss: 1.2023 2022/08/11 03:20:48 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 2.0000e-03 eta: 11:09:26 time: 1.0550 data_time: 0.2294 memory: 19925 grad_norm: 3.4259 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2809 loss: 1.2809 2022/08/11 03:21:07 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 2.0000e-03 eta: 11:09:11 time: 0.9889 data_time: 0.0157 memory: 19925 grad_norm: 3.5372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/11 03:21:24 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 2.0000e-03 eta: 11:08:53 time: 0.8424 data_time: 0.0195 memory: 19925 grad_norm: 3.6404 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3934 loss: 1.3934 2022/08/11 03:21:44 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 2.0000e-03 eta: 11:08:38 time: 0.9647 data_time: 0.0159 memory: 19925 grad_norm: 3.4832 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1842 loss: 1.1842 2022/08/11 03:22:03 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 2.0000e-03 eta: 11:08:23 time: 0.9667 data_time: 0.0180 memory: 19925 grad_norm: 3.5637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/08/11 03:22:20 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 2.0000e-03 eta: 11:08:05 time: 0.8419 data_time: 0.0176 memory: 19925 grad_norm: 3.4795 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2358 loss: 1.2358 2022/08/11 03:22:39 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 2.0000e-03 eta: 11:07:50 time: 0.9783 data_time: 0.0177 memory: 19925 grad_norm: 3.5452 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/11 03:22:56 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 2.0000e-03 eta: 11:07:33 time: 0.8400 data_time: 0.0185 memory: 19925 grad_norm: 3.4742 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3098 loss: 1.3098 2022/08/11 03:23:14 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 2.0000e-03 eta: 11:07:16 time: 0.8994 data_time: 0.0157 memory: 19925 grad_norm: 3.5679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/08/11 03:23:38 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 2.0000e-03 eta: 11:07:05 time: 1.1845 data_time: 0.0193 memory: 19925 grad_norm: 3.6161 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2981 loss: 1.2981 2022/08/11 03:23:59 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 2.0000e-03 eta: 11:06:52 time: 1.0677 data_time: 0.0181 memory: 19925 grad_norm: 3.3581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1248 loss: 1.1248 2022/08/11 03:24:24 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 2.0000e-03 eta: 11:06:42 time: 1.2221 data_time: 0.0170 memory: 19925 grad_norm: 3.5117 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1771 loss: 1.1771 2022/08/11 03:24:40 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 2.0000e-03 eta: 11:06:24 time: 0.8389 data_time: 0.0174 memory: 19925 grad_norm: 3.5341 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2079 loss: 1.2079 2022/08/11 03:24:59 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 2.0000e-03 eta: 11:06:08 time: 0.9119 data_time: 0.0171 memory: 19925 grad_norm: 3.6097 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0397 loss: 1.0397 2022/08/11 03:25:16 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 2.0000e-03 eta: 11:05:50 time: 0.8431 data_time: 0.0193 memory: 19925 grad_norm: 3.4797 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1833 loss: 1.1833 2022/08/11 03:25:33 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 2.0000e-03 eta: 11:05:33 time: 0.8641 data_time: 0.0169 memory: 19925 grad_norm: 3.6395 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/08/11 03:25:50 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 2.0000e-03 eta: 11:05:15 time: 0.8454 data_time: 0.0195 memory: 19925 grad_norm: 3.4755 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1416 loss: 1.1416 2022/08/11 03:26:07 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 2.0000e-03 eta: 11:04:58 time: 0.8390 data_time: 0.0179 memory: 19925 grad_norm: 3.4880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/11 03:26:25 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 2.0000e-03 eta: 11:04:42 time: 0.9197 data_time: 0.0910 memory: 19925 grad_norm: 3.5322 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1650 loss: 1.1650 2022/08/11 03:26:43 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 2.0000e-03 eta: 11:04:25 time: 0.9073 data_time: 0.0179 memory: 19925 grad_norm: 3.6114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/08/11 03:27:01 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 2.0000e-03 eta: 11:04:09 time: 0.9141 data_time: 0.0195 memory: 19925 grad_norm: 3.6454 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2325 loss: 1.2325 2022/08/11 03:27:23 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 2.0000e-03 eta: 11:03:56 time: 1.0793 data_time: 0.2031 memory: 19925 grad_norm: 3.6863 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1276 loss: 1.1276 2022/08/11 03:27:40 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 2.0000e-03 eta: 11:03:38 time: 0.8507 data_time: 0.0159 memory: 19925 grad_norm: 3.6841 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3757 loss: 1.3757 2022/08/11 03:27:58 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 2.0000e-03 eta: 11:03:22 time: 0.9177 data_time: 0.0981 memory: 19925 grad_norm: 3.5810 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1657 loss: 1.1657 2022/08/11 03:28:15 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 2.0000e-03 eta: 11:03:05 time: 0.8469 data_time: 0.0160 memory: 19925 grad_norm: 3.6227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1255 loss: 1.1255 2022/08/11 03:28:34 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 2.0000e-03 eta: 11:02:48 time: 0.9115 data_time: 0.0880 memory: 19925 grad_norm: 3.5748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1307 loss: 1.1307 2022/08/11 03:28:52 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 2.0000e-03 eta: 11:02:32 time: 0.9118 data_time: 0.0282 memory: 19925 grad_norm: 3.6275 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2061 loss: 1.2061 2022/08/11 03:29:11 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 2.0000e-03 eta: 11:02:17 time: 0.9686 data_time: 0.1461 memory: 19925 grad_norm: 3.5457 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2476 loss: 1.2476 2022/08/11 03:29:28 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 2.0000e-03 eta: 11:01:59 time: 0.8456 data_time: 0.0172 memory: 19925 grad_norm: 3.6506 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0085 loss: 1.0085 2022/08/11 03:29:51 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 2.0000e-03 eta: 11:01:48 time: 1.1528 data_time: 0.3246 memory: 19925 grad_norm: 3.6155 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1523 loss: 1.1523 2022/08/11 03:30:10 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 2.0000e-03 eta: 11:01:32 time: 0.9540 data_time: 0.1317 memory: 19925 grad_norm: 3.6496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/08/11 03:30:29 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 2.0000e-03 eta: 11:01:17 time: 0.9437 data_time: 0.0157 memory: 19925 grad_norm: 3.6283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/08/11 03:30:47 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 2.0000e-03 eta: 11:01:00 time: 0.8937 data_time: 0.0165 memory: 19925 grad_norm: 3.5076 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0672 loss: 1.0672 2022/08/11 03:31:08 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 2.0000e-03 eta: 11:00:46 time: 1.0587 data_time: 0.0338 memory: 19925 grad_norm: 3.5627 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/08/11 03:31:12 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 03:31:34 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 2.0000e-03 eta: 11:00:38 time: 1.3087 data_time: 0.3827 memory: 19925 grad_norm: 3.5688 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/11 03:31:57 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 2.0000e-03 eta: 11:00:26 time: 1.1357 data_time: 0.3206 memory: 19925 grad_norm: 3.4704 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/11 03:32:14 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 2.0000e-03 eta: 11:00:08 time: 0.8346 data_time: 0.0158 memory: 19925 grad_norm: 3.6533 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0778 loss: 1.0778 2022/08/11 03:32:38 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 2.0000e-03 eta: 10:59:57 time: 1.2001 data_time: 0.2564 memory: 19925 grad_norm: 3.5761 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2902 loss: 1.2902 2022/08/11 03:32:55 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 2.0000e-03 eta: 10:59:40 time: 0.8601 data_time: 0.0429 memory: 19925 grad_norm: 3.5834 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3314 loss: 1.3314 2022/08/11 03:33:16 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 2.0000e-03 eta: 10:59:25 time: 1.0249 data_time: 0.0165 memory: 19925 grad_norm: 3.7293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/08/11 03:33:37 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 2.0000e-03 eta: 10:59:12 time: 1.0490 data_time: 0.0171 memory: 19925 grad_norm: 3.6593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0625 loss: 1.0625 2022/08/11 03:33:58 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 2.0000e-03 eta: 10:58:58 time: 1.0579 data_time: 0.0167 memory: 19925 grad_norm: 3.5347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2137 loss: 1.2137 2022/08/11 03:34:14 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 2.0000e-03 eta: 10:58:40 time: 0.8388 data_time: 0.0172 memory: 19925 grad_norm: 3.5651 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1303 loss: 1.1303 2022/08/11 03:34:34 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 2.0000e-03 eta: 10:58:25 time: 0.9665 data_time: 0.0176 memory: 19925 grad_norm: 3.5549 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1937 loss: 1.1937 2022/08/11 03:34:51 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 2.0000e-03 eta: 10:58:07 time: 0.8393 data_time: 0.0166 memory: 19925 grad_norm: 3.6255 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/08/11 03:35:07 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 2.0000e-03 eta: 10:57:50 time: 0.8323 data_time: 0.0165 memory: 19925 grad_norm: 3.5958 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/08/11 03:35:27 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 2.0000e-03 eta: 10:57:34 time: 0.9757 data_time: 0.0626 memory: 19925 grad_norm: 3.6388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1008 loss: 1.1008 2022/08/11 03:35:46 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 2.0000e-03 eta: 10:57:19 time: 0.9552 data_time: 0.1288 memory: 19925 grad_norm: 3.6821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/08/11 03:36:05 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 2.0000e-03 eta: 10:57:03 time: 0.9618 data_time: 0.1379 memory: 19925 grad_norm: 3.5374 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0261 loss: 1.0261 2022/08/11 03:36:25 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 2.0000e-03 eta: 10:56:49 time: 0.9959 data_time: 0.0174 memory: 19925 grad_norm: 3.4535 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1280 loss: 1.1280 2022/08/11 03:36:42 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 2.0000e-03 eta: 10:56:31 time: 0.8389 data_time: 0.0177 memory: 19925 grad_norm: 3.5210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/08/11 03:37:02 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 2.0000e-03 eta: 10:56:16 time: 0.9994 data_time: 0.0194 memory: 19925 grad_norm: 3.6751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1491 loss: 1.1491 2022/08/11 03:37:18 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 2.0000e-03 eta: 10:55:58 time: 0.8333 data_time: 0.0149 memory: 19925 grad_norm: 3.5471 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1224 loss: 1.1224 2022/08/11 03:37:37 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 2.0000e-03 eta: 10:55:43 time: 0.9395 data_time: 0.1095 memory: 19925 grad_norm: 3.6124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1784 loss: 1.1784 2022/08/11 03:37:55 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 2.0000e-03 eta: 10:55:26 time: 0.8902 data_time: 0.0137 memory: 19925 grad_norm: 3.5276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/08/11 03:38:13 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 2.0000e-03 eta: 10:55:09 time: 0.8793 data_time: 0.0175 memory: 19925 grad_norm: 3.5162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1232 loss: 1.1232 2022/08/11 03:38:29 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 2.0000e-03 eta: 10:54:51 time: 0.8354 data_time: 0.0181 memory: 19925 grad_norm: 3.6586 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2174 loss: 1.2174 2022/08/11 03:38:46 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 2.0000e-03 eta: 10:54:33 time: 0.8342 data_time: 0.0146 memory: 19925 grad_norm: 3.5497 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1466 loss: 1.1466 2022/08/11 03:39:03 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 2.0000e-03 eta: 10:54:15 time: 0.8414 data_time: 0.0183 memory: 19925 grad_norm: 3.6475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/08/11 03:39:20 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 2.0000e-03 eta: 10:53:58 time: 0.8376 data_time: 0.0161 memory: 19925 grad_norm: 3.5833 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0518 loss: 1.0518 2022/08/11 03:39:37 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 2.0000e-03 eta: 10:53:40 time: 0.8433 data_time: 0.0184 memory: 19925 grad_norm: 3.6012 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/08/11 03:39:53 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 2.0000e-03 eta: 10:53:22 time: 0.8450 data_time: 0.0294 memory: 19925 grad_norm: 3.6627 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2870 loss: 1.2870 2022/08/11 03:40:15 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 2.0000e-03 eta: 10:53:09 time: 1.0841 data_time: 0.2643 memory: 19925 grad_norm: 3.6757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2667 loss: 1.2667 2022/08/11 03:40:32 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 2.0000e-03 eta: 10:52:52 time: 0.8395 data_time: 0.0168 memory: 19925 grad_norm: 3.5874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/08/11 03:40:49 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 2.0000e-03 eta: 10:52:34 time: 0.8406 data_time: 0.0178 memory: 19925 grad_norm: 3.7271 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0881 loss: 1.0881 2022/08/11 03:41:05 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 2.0000e-03 eta: 10:52:16 time: 0.8341 data_time: 0.0170 memory: 19925 grad_norm: 3.5564 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1535 loss: 1.1535 2022/08/11 03:41:26 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 2.0000e-03 eta: 10:52:02 time: 1.0490 data_time: 0.0172 memory: 19925 grad_norm: 3.6224 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1080 loss: 1.1080 2022/08/11 03:41:43 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 2.0000e-03 eta: 10:51:44 time: 0.8346 data_time: 0.0187 memory: 19925 grad_norm: 3.6469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2414 loss: 1.2414 2022/08/11 03:42:00 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 2.0000e-03 eta: 10:51:27 time: 0.8436 data_time: 0.0165 memory: 19925 grad_norm: 3.5714 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2026 loss: 1.2026 2022/08/11 03:42:17 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 2.0000e-03 eta: 10:51:09 time: 0.8465 data_time: 0.0169 memory: 19925 grad_norm: 3.6839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0582 loss: 1.0582 2022/08/11 03:42:34 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 2.0000e-03 eta: 10:50:51 time: 0.8356 data_time: 0.0170 memory: 19925 grad_norm: 3.5756 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0303 loss: 1.0303 2022/08/11 03:42:51 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 2.0000e-03 eta: 10:50:34 time: 0.8420 data_time: 0.0185 memory: 19925 grad_norm: 3.6588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2063 loss: 1.2063 2022/08/11 03:43:07 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 2.0000e-03 eta: 10:50:16 time: 0.8338 data_time: 0.0170 memory: 19925 grad_norm: 3.6389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0861 loss: 1.0861 2022/08/11 03:43:24 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 2.0000e-03 eta: 10:49:58 time: 0.8308 data_time: 0.0179 memory: 19925 grad_norm: 3.6511 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3057 loss: 1.3057 2022/08/11 03:43:40 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 2.0000e-03 eta: 10:49:40 time: 0.8328 data_time: 0.0171 memory: 19925 grad_norm: 3.6642 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1196 loss: 1.1196 2022/08/11 03:43:57 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 2.0000e-03 eta: 10:49:22 time: 0.8298 data_time: 0.0177 memory: 19925 grad_norm: 3.6376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1382 loss: 1.1382 2022/08/11 03:44:12 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 03:44:12 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 2.0000e-03 eta: 10:49:22 time: 0.8085 data_time: 0.0177 memory: 19925 grad_norm: 3.6379 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0475 loss: 1.0475 2022/08/11 03:44:25 - mmengine - INFO - Epoch(val) [26][20/155] eta: 0:01:26 time: 0.6410 data_time: 0.4052 memory: 2570 2022/08/11 03:44:42 - mmengine - INFO - Epoch(val) [26][40/155] eta: 0:01:36 time: 0.8394 data_time: 0.6063 memory: 2570 2022/08/11 03:44:50 - mmengine - INFO - Epoch(val) [26][60/155] eta: 0:00:36 time: 0.3814 data_time: 0.1500 memory: 2570 2022/08/11 03:45:13 - mmengine - INFO - Epoch(val) [26][80/155] eta: 0:01:26 time: 1.1531 data_time: 0.9207 memory: 2570 2022/08/11 03:45:26 - mmengine - INFO - Epoch(val) [26][100/155] eta: 0:00:36 time: 0.6586 data_time: 0.4296 memory: 2570 2022/08/11 03:45:45 - mmengine - INFO - Epoch(val) [26][120/155] eta: 0:00:34 time: 0.9728 data_time: 0.7412 memory: 2570 2022/08/11 03:45:53 - mmengine - INFO - Epoch(val) [26][140/155] eta: 0:00:05 time: 0.3917 data_time: 0.1627 memory: 2570 2022/08/11 03:46:05 - mmengine - INFO - Epoch(val) [26][155/155] acc/top1: 0.6956 acc/top5: 0.8904 acc/mean1: 0.6956 2022/08/11 03:46:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/11 03:46:07 - mmengine - INFO - The best checkpoint with 0.6956 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/11 03:46:29 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 2.0000e-03 eta: 10:48:37 time: 1.0755 data_time: 0.2586 memory: 19925 grad_norm: 3.6442 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1997 loss: 1.1997 2022/08/11 03:46:45 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 2.0000e-03 eta: 10:48:19 time: 0.8313 data_time: 0.0184 memory: 19925 grad_norm: 3.6197 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0618 loss: 1.0618 2022/08/11 03:47:02 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 2.0000e-03 eta: 10:48:02 time: 0.8269 data_time: 0.0176 memory: 19925 grad_norm: 3.5498 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1194 loss: 1.1194 2022/08/11 03:47:19 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 2.0000e-03 eta: 10:47:44 time: 0.8271 data_time: 0.0174 memory: 19925 grad_norm: 3.6434 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2792 loss: 1.2792 2022/08/11 03:47:35 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 2.0000e-03 eta: 10:47:26 time: 0.8312 data_time: 0.0175 memory: 19925 grad_norm: 3.6003 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1271 loss: 1.1271 2022/08/11 03:47:53 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 2.0000e-03 eta: 10:47:09 time: 0.8736 data_time: 0.0182 memory: 19925 grad_norm: 3.5678 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0189 loss: 1.0189 2022/08/11 03:48:10 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 2.0000e-03 eta: 10:46:51 time: 0.8429 data_time: 0.0216 memory: 19925 grad_norm: 3.6469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0025 loss: 1.0025 2022/08/11 03:48:15 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 03:48:26 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 2.0000e-03 eta: 10:46:33 time: 0.8374 data_time: 0.0175 memory: 19925 grad_norm: 3.5710 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1329 loss: 1.1329 2022/08/11 03:48:43 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 2.0000e-03 eta: 10:46:16 time: 0.8389 data_time: 0.0186 memory: 19925 grad_norm: 3.6417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/08/11 03:49:00 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 2.0000e-03 eta: 10:45:58 time: 0.8358 data_time: 0.0175 memory: 19925 grad_norm: 3.6063 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0910 loss: 1.0910 2022/08/11 03:49:17 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 2.0000e-03 eta: 10:45:40 time: 0.8376 data_time: 0.0201 memory: 19925 grad_norm: 3.5464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1102 loss: 1.1102 2022/08/11 03:49:34 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 2.0000e-03 eta: 10:45:23 time: 0.8489 data_time: 0.0207 memory: 19925 grad_norm: 3.6829 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/08/11 03:49:50 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 2.0000e-03 eta: 10:45:05 time: 0.8446 data_time: 0.0179 memory: 19925 grad_norm: 3.6041 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0443 loss: 1.0443 2022/08/11 03:50:07 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 2.0000e-03 eta: 10:44:47 time: 0.8427 data_time: 0.0178 memory: 19925 grad_norm: 3.6202 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1247 loss: 1.1247 2022/08/11 03:50:25 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 2.0000e-03 eta: 10:44:30 time: 0.8734 data_time: 0.0362 memory: 19925 grad_norm: 3.6003 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9688 loss: 0.9688 2022/08/11 03:50:42 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 2.0000e-03 eta: 10:44:12 time: 0.8384 data_time: 0.0170 memory: 19925 grad_norm: 3.7102 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3122 loss: 1.3122 2022/08/11 03:50:58 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 2.0000e-03 eta: 10:43:55 time: 0.8369 data_time: 0.0175 memory: 19925 grad_norm: 3.5535 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/08/11 03:51:15 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 2.0000e-03 eta: 10:43:37 time: 0.8343 data_time: 0.0161 memory: 19925 grad_norm: 3.5648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/08/11 03:51:32 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 2.0000e-03 eta: 10:43:19 time: 0.8380 data_time: 0.0177 memory: 19925 grad_norm: 3.6098 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/08/11 03:51:48 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 2.0000e-03 eta: 10:43:01 time: 0.8307 data_time: 0.0162 memory: 19925 grad_norm: 3.6265 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0415 loss: 1.0415 2022/08/11 03:52:05 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 2.0000e-03 eta: 10:42:44 time: 0.8447 data_time: 0.0169 memory: 19925 grad_norm: 3.7521 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/08/11 03:52:22 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 2.0000e-03 eta: 10:42:26 time: 0.8493 data_time: 0.0183 memory: 19925 grad_norm: 3.5830 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/08/11 03:52:39 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 2.0000e-03 eta: 10:42:08 time: 0.8347 data_time: 0.0187 memory: 19925 grad_norm: 3.5937 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1267 loss: 1.1267 2022/08/11 03:52:56 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 2.0000e-03 eta: 10:41:51 time: 0.8353 data_time: 0.0166 memory: 19925 grad_norm: 3.7449 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.2913 loss: 1.2913 2022/08/11 03:53:13 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 2.0000e-03 eta: 10:41:33 time: 0.8440 data_time: 0.0174 memory: 19925 grad_norm: 3.6553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9816 loss: 0.9816 2022/08/11 03:53:29 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 2.0000e-03 eta: 10:41:15 time: 0.8328 data_time: 0.0168 memory: 19925 grad_norm: 3.5928 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/08/11 03:53:46 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 2.0000e-03 eta: 10:40:57 time: 0.8325 data_time: 0.0192 memory: 19925 grad_norm: 3.6574 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1430 loss: 1.1430 2022/08/11 03:54:03 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 2.0000e-03 eta: 10:40:40 time: 0.8347 data_time: 0.0172 memory: 19925 grad_norm: 3.5989 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1550 loss: 1.1550 2022/08/11 03:54:20 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 2.0000e-03 eta: 10:40:22 time: 0.8610 data_time: 0.0251 memory: 19925 grad_norm: 3.5748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/08/11 03:54:40 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 2.0000e-03 eta: 10:40:08 time: 1.0007 data_time: 0.0167 memory: 19925 grad_norm: 3.6026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1182 loss: 1.1182 2022/08/11 03:54:57 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 2.0000e-03 eta: 10:39:50 time: 0.8493 data_time: 0.0251 memory: 19925 grad_norm: 3.6652 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1511 loss: 1.1511 2022/08/11 03:55:14 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 2.0000e-03 eta: 10:39:32 time: 0.8368 data_time: 0.0215 memory: 19925 grad_norm: 3.5650 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1387 loss: 1.1387 2022/08/11 03:55:30 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 2.0000e-03 eta: 10:39:15 time: 0.8339 data_time: 0.0171 memory: 19925 grad_norm: 3.5864 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/08/11 03:55:47 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 2.0000e-03 eta: 10:38:57 time: 0.8387 data_time: 0.0181 memory: 19925 grad_norm: 3.7279 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2975 loss: 1.2975 2022/08/11 03:56:04 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 2.0000e-03 eta: 10:38:39 time: 0.8367 data_time: 0.0189 memory: 19925 grad_norm: 3.5403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/08/11 03:56:20 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 2.0000e-03 eta: 10:38:21 time: 0.8330 data_time: 0.0170 memory: 19925 grad_norm: 3.6765 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2423 loss: 1.2423 2022/08/11 03:56:37 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 2.0000e-03 eta: 10:38:04 time: 0.8342 data_time: 0.0152 memory: 19925 grad_norm: 3.6613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1537 loss: 1.1537 2022/08/11 03:56:54 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 2.0000e-03 eta: 10:37:46 time: 0.8336 data_time: 0.0172 memory: 19925 grad_norm: 3.6168 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/08/11 03:57:10 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 2.0000e-03 eta: 10:37:28 time: 0.8336 data_time: 0.0167 memory: 19925 grad_norm: 3.5998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/11 03:57:27 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 2.0000e-03 eta: 10:37:10 time: 0.8321 data_time: 0.0168 memory: 19925 grad_norm: 3.7117 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0999 loss: 1.0999 2022/08/11 03:57:44 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 2.0000e-03 eta: 10:36:53 time: 0.8410 data_time: 0.0170 memory: 19925 grad_norm: 3.6335 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1398 loss: 1.1398 2022/08/11 03:58:02 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 2.0000e-03 eta: 10:36:36 time: 0.8889 data_time: 0.0700 memory: 19925 grad_norm: 3.5730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/08/11 03:58:19 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 2.0000e-03 eta: 10:36:18 time: 0.8450 data_time: 0.0171 memory: 19925 grad_norm: 3.6526 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/08/11 03:58:36 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 2.0000e-03 eta: 10:36:00 time: 0.8422 data_time: 0.0206 memory: 19925 grad_norm: 3.6113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1214 loss: 1.1214 2022/08/11 03:58:53 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 2.0000e-03 eta: 10:35:44 time: 0.8822 data_time: 0.0562 memory: 19925 grad_norm: 3.7032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0229 loss: 1.0229 2022/08/11 03:59:10 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 2.0000e-03 eta: 10:35:26 time: 0.8388 data_time: 0.0183 memory: 19925 grad_norm: 3.6777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0750 loss: 1.0750 2022/08/11 03:59:27 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 2.0000e-03 eta: 10:35:08 time: 0.8366 data_time: 0.0183 memory: 19925 grad_norm: 3.7349 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/08/11 03:59:44 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 2.0000e-03 eta: 10:34:51 time: 0.8441 data_time: 0.0167 memory: 19925 grad_norm: 3.6799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/08/11 04:00:00 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 2.0000e-03 eta: 10:34:33 time: 0.8333 data_time: 0.0157 memory: 19925 grad_norm: 3.5822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0433 loss: 1.0433 2022/08/11 04:00:17 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 2.0000e-03 eta: 10:34:15 time: 0.8391 data_time: 0.0196 memory: 19925 grad_norm: 3.5809 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0498 loss: 1.0498 2022/08/11 04:00:34 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 2.0000e-03 eta: 10:33:57 time: 0.8405 data_time: 0.0174 memory: 19925 grad_norm: 3.6557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/08/11 04:00:51 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 2.0000e-03 eta: 10:33:40 time: 0.8396 data_time: 0.0196 memory: 19925 grad_norm: 3.6291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0872 loss: 1.0872 2022/08/11 04:01:07 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 2.0000e-03 eta: 10:33:22 time: 0.8384 data_time: 0.0172 memory: 19925 grad_norm: 3.7024 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1148 loss: 1.1148 2022/08/11 04:01:24 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 2.0000e-03 eta: 10:33:04 time: 0.8355 data_time: 0.0184 memory: 19925 grad_norm: 3.6709 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2722 loss: 1.2722 2022/08/11 04:01:41 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 2.0000e-03 eta: 10:32:46 time: 0.8304 data_time: 0.0165 memory: 19925 grad_norm: 3.7072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/11 04:01:57 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 2.0000e-03 eta: 10:32:29 time: 0.8359 data_time: 0.0181 memory: 19925 grad_norm: 3.6730 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0152 loss: 1.0152 2022/08/11 04:02:14 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 2.0000e-03 eta: 10:32:11 time: 0.8378 data_time: 0.0179 memory: 19925 grad_norm: 3.6712 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0574 loss: 1.0574 2022/08/11 04:02:19 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 04:02:31 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 2.0000e-03 eta: 10:31:53 time: 0.8349 data_time: 0.0181 memory: 19925 grad_norm: 3.6413 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0195 loss: 1.0195 2022/08/11 04:02:48 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 2.0000e-03 eta: 10:31:35 time: 0.8304 data_time: 0.0160 memory: 19925 grad_norm: 3.7309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9624 loss: 0.9624 2022/08/11 04:03:04 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 2.0000e-03 eta: 10:31:18 time: 0.8378 data_time: 0.0178 memory: 19925 grad_norm: 3.6833 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1554 loss: 1.1554 2022/08/11 04:03:21 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 2.0000e-03 eta: 10:31:00 time: 0.8382 data_time: 0.0166 memory: 19925 grad_norm: 3.7451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0210 loss: 1.0210 2022/08/11 04:03:38 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 2.0000e-03 eta: 10:30:42 time: 0.8361 data_time: 0.0215 memory: 19925 grad_norm: 3.7077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0820 loss: 1.0820 2022/08/11 04:03:55 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 2.0000e-03 eta: 10:30:25 time: 0.8361 data_time: 0.0157 memory: 19925 grad_norm: 3.6022 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1151 loss: 1.1151 2022/08/11 04:04:11 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 2.0000e-03 eta: 10:30:07 time: 0.8419 data_time: 0.0249 memory: 19925 grad_norm: 3.6673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0596 loss: 1.0596 2022/08/11 04:04:28 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 2.0000e-03 eta: 10:29:49 time: 0.8455 data_time: 0.0175 memory: 19925 grad_norm: 3.6455 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1797 loss: 1.1797 2022/08/11 04:04:45 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 2.0000e-03 eta: 10:29:32 time: 0.8310 data_time: 0.0177 memory: 19925 grad_norm: 3.6372 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1089 loss: 1.1089 2022/08/11 04:05:02 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 2.0000e-03 eta: 10:29:14 time: 0.8412 data_time: 0.0192 memory: 19925 grad_norm: 3.5869 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1671 loss: 1.1671 2022/08/11 04:05:19 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 2.0000e-03 eta: 10:28:56 time: 0.8375 data_time: 0.0155 memory: 19925 grad_norm: 3.6491 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1266 loss: 1.1266 2022/08/11 04:05:35 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 2.0000e-03 eta: 10:28:39 time: 0.8361 data_time: 0.0215 memory: 19925 grad_norm: 3.6263 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1082 loss: 1.1082 2022/08/11 04:05:52 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 2.0000e-03 eta: 10:28:21 time: 0.8353 data_time: 0.0168 memory: 19925 grad_norm: 3.6249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/08/11 04:06:09 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 2.0000e-03 eta: 10:28:03 time: 0.8364 data_time: 0.0172 memory: 19925 grad_norm: 3.7070 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1687 loss: 1.1687 2022/08/11 04:06:26 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 2.0000e-03 eta: 10:27:46 time: 0.8461 data_time: 0.0169 memory: 19925 grad_norm: 3.7054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2001 loss: 1.2001 2022/08/11 04:06:42 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 2.0000e-03 eta: 10:27:28 time: 0.8359 data_time: 0.0190 memory: 19925 grad_norm: 3.6285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1156 loss: 1.1156 2022/08/11 04:06:59 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 2.0000e-03 eta: 10:27:10 time: 0.8326 data_time: 0.0160 memory: 19925 grad_norm: 3.6989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1341 loss: 1.1341 2022/08/11 04:07:16 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 2.0000e-03 eta: 10:26:52 time: 0.8429 data_time: 0.0178 memory: 19925 grad_norm: 3.5717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/08/11 04:07:33 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 2.0000e-03 eta: 10:26:35 time: 0.8549 data_time: 0.0173 memory: 19925 grad_norm: 3.7081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/08/11 04:07:53 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 2.0000e-03 eta: 10:26:20 time: 1.0153 data_time: 0.0172 memory: 19925 grad_norm: 3.8234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/08/11 04:08:10 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 2.0000e-03 eta: 10:26:03 time: 0.8355 data_time: 0.0175 memory: 19925 grad_norm: 3.6602 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1958 loss: 1.1958 2022/08/11 04:08:27 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 2.0000e-03 eta: 10:25:45 time: 0.8331 data_time: 0.0175 memory: 19925 grad_norm: 3.7628 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/08/11 04:08:43 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 2.0000e-03 eta: 10:25:27 time: 0.8306 data_time: 0.0155 memory: 19925 grad_norm: 3.6951 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/08/11 04:09:00 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 2.0000e-03 eta: 10:25:09 time: 0.8314 data_time: 0.0179 memory: 19925 grad_norm: 3.7702 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2665 loss: 1.2665 2022/08/11 04:09:17 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 2.0000e-03 eta: 10:24:52 time: 0.8316 data_time: 0.0157 memory: 19925 grad_norm: 3.7084 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0425 loss: 1.0425 2022/08/11 04:09:33 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 2.0000e-03 eta: 10:24:34 time: 0.8325 data_time: 0.0181 memory: 19925 grad_norm: 3.6363 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1023 loss: 1.1023 2022/08/11 04:09:50 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 2.0000e-03 eta: 10:24:16 time: 0.8367 data_time: 0.0177 memory: 19925 grad_norm: 3.6253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2297 loss: 1.2297 2022/08/11 04:10:07 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 2.0000e-03 eta: 10:23:58 time: 0.8325 data_time: 0.0163 memory: 19925 grad_norm: 3.6469 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2181 loss: 1.2181 2022/08/11 04:10:25 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 2.0000e-03 eta: 10:23:42 time: 0.9149 data_time: 0.0749 memory: 19925 grad_norm: 3.6984 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0007 loss: 1.0007 2022/08/11 04:10:42 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 2.0000e-03 eta: 10:23:24 time: 0.8396 data_time: 0.0179 memory: 19925 grad_norm: 3.6924 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/08/11 04:10:59 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 2.0000e-03 eta: 10:23:07 time: 0.8392 data_time: 0.0183 memory: 19925 grad_norm: 3.6692 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9736 loss: 0.9736 2022/08/11 04:11:15 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 2.0000e-03 eta: 10:22:49 time: 0.8392 data_time: 0.0175 memory: 19925 grad_norm: 3.7344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1774 loss: 1.1774 2022/08/11 04:11:32 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 2.0000e-03 eta: 10:22:31 time: 0.8348 data_time: 0.0193 memory: 19925 grad_norm: 3.7101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0525 loss: 1.0525 2022/08/11 04:11:49 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 2.0000e-03 eta: 10:22:14 time: 0.8357 data_time: 0.0151 memory: 19925 grad_norm: 3.7268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2055 loss: 1.2055 2022/08/11 04:12:06 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 2.0000e-03 eta: 10:21:56 time: 0.8458 data_time: 0.0174 memory: 19925 grad_norm: 3.7191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/08/11 04:12:22 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 2.0000e-03 eta: 10:21:38 time: 0.8350 data_time: 0.0173 memory: 19925 grad_norm: 3.7272 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0237 loss: 1.0237 2022/08/11 04:12:38 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 04:12:38 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 2.0000e-03 eta: 10:21:38 time: 0.8178 data_time: 0.0152 memory: 19925 grad_norm: 3.7211 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1032 loss: 1.1032 2022/08/11 04:12:38 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/11 04:12:55 - mmengine - INFO - Epoch(val) [27][20/155] eta: 0:01:42 time: 0.7601 data_time: 0.5300 memory: 2570 2022/08/11 04:13:10 - mmengine - INFO - Epoch(val) [27][40/155] eta: 0:01:26 time: 0.7523 data_time: 0.5225 memory: 2570 2022/08/11 04:13:22 - mmengine - INFO - Epoch(val) [27][60/155] eta: 0:00:54 time: 0.5698 data_time: 0.3405 memory: 2570 2022/08/11 04:13:38 - mmengine - INFO - Epoch(val) [27][80/155] eta: 0:01:02 time: 0.8268 data_time: 0.5958 memory: 2570 2022/08/11 04:13:49 - mmengine - INFO - Epoch(val) [27][100/155] eta: 0:00:28 time: 0.5254 data_time: 0.2966 memory: 2570 2022/08/11 04:14:02 - mmengine - INFO - Epoch(val) [27][120/155] eta: 0:00:23 time: 0.6576 data_time: 0.4274 memory: 2570 2022/08/11 04:14:13 - mmengine - INFO - Epoch(val) [27][140/155] eta: 0:00:08 time: 0.5476 data_time: 0.3182 memory: 2570 2022/08/11 04:14:29 - mmengine - INFO - Epoch(val) [27][155/155] acc/top1: 0.7019 acc/top5: 0.8920 acc/mean1: 0.7018 2022/08/11 04:14:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/11 04:14:31 - mmengine - INFO - The best checkpoint with 0.7019 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/08/11 04:14:59 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 2.0000e-03 eta: 10:21:00 time: 1.4013 data_time: 0.3363 memory: 19925 grad_norm: 3.7088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0536 loss: 1.0536 2022/08/11 04:15:16 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 2.0000e-03 eta: 10:20:42 time: 0.8514 data_time: 0.0304 memory: 19925 grad_norm: 3.5670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9808 loss: 0.9808 2022/08/11 04:15:33 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 2.0000e-03 eta: 10:20:25 time: 0.8417 data_time: 0.0191 memory: 19925 grad_norm: 3.6019 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1668 loss: 1.1668 2022/08/11 04:15:50 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 2.0000e-03 eta: 10:20:07 time: 0.8423 data_time: 0.0167 memory: 19925 grad_norm: 3.6551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9325 loss: 0.9325 2022/08/11 04:16:06 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 2.0000e-03 eta: 10:19:50 time: 0.8398 data_time: 0.0181 memory: 19925 grad_norm: 3.7556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0945 loss: 1.0945 2022/08/11 04:16:23 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 2.0000e-03 eta: 10:19:32 time: 0.8300 data_time: 0.0164 memory: 19925 grad_norm: 3.5786 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9096 loss: 0.9096 2022/08/11 04:16:40 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 2.0000e-03 eta: 10:19:14 time: 0.8334 data_time: 0.0164 memory: 19925 grad_norm: 3.7408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/08/11 04:16:57 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 2.0000e-03 eta: 10:18:57 time: 0.8473 data_time: 0.0186 memory: 19925 grad_norm: 3.7567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0972 loss: 1.0972 2022/08/11 04:17:13 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 2.0000e-03 eta: 10:18:39 time: 0.8384 data_time: 0.0172 memory: 19925 grad_norm: 3.5964 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0006 loss: 1.0006 2022/08/11 04:17:30 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 2.0000e-03 eta: 10:18:21 time: 0.8317 data_time: 0.0165 memory: 19925 grad_norm: 3.6431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/11 04:17:47 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 2.0000e-03 eta: 10:18:03 time: 0.8349 data_time: 0.0181 memory: 19925 grad_norm: 3.6451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9960 loss: 0.9960 2022/08/11 04:18:04 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 2.0000e-03 eta: 10:17:46 time: 0.8730 data_time: 0.0285 memory: 19925 grad_norm: 3.7579 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0980 loss: 1.0980 2022/08/11 04:18:21 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 2.0000e-03 eta: 10:17:29 time: 0.8326 data_time: 0.0157 memory: 19925 grad_norm: 3.6313 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0334 loss: 1.0334 2022/08/11 04:18:27 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 04:18:38 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 2.0000e-03 eta: 10:17:11 time: 0.8612 data_time: 0.0192 memory: 19925 grad_norm: 3.7221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/08/11 04:18:55 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 2.0000e-03 eta: 10:16:54 time: 0.8450 data_time: 0.0250 memory: 19925 grad_norm: 3.7037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0923 loss: 1.0923 2022/08/11 04:19:12 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 2.0000e-03 eta: 10:16:36 time: 0.8395 data_time: 0.0195 memory: 19925 grad_norm: 3.5902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9121 loss: 0.9121 2022/08/11 04:19:29 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 2.0000e-03 eta: 10:16:18 time: 0.8378 data_time: 0.0164 memory: 19925 grad_norm: 3.7954 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1660 loss: 1.1660 2022/08/11 04:19:45 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 2.0000e-03 eta: 10:16:01 time: 0.8372 data_time: 0.0192 memory: 19925 grad_norm: 3.8045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0078 loss: 1.0078 2022/08/11 04:20:02 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 2.0000e-03 eta: 10:15:43 time: 0.8368 data_time: 0.0170 memory: 19925 grad_norm: 3.6937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0774 loss: 1.0774 2022/08/11 04:20:19 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 2.0000e-03 eta: 10:15:26 time: 0.8693 data_time: 0.0337 memory: 19925 grad_norm: 3.6053 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1114 loss: 1.1114 2022/08/11 04:20:36 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 2.0000e-03 eta: 10:15:08 time: 0.8390 data_time: 0.0151 memory: 19925 grad_norm: 3.6279 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9713 loss: 0.9713 2022/08/11 04:20:53 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 2.0000e-03 eta: 10:14:51 time: 0.8421 data_time: 0.0177 memory: 19925 grad_norm: 3.7823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1445 loss: 1.1445 2022/08/11 04:21:10 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 2.0000e-03 eta: 10:14:33 time: 0.8395 data_time: 0.0164 memory: 19925 grad_norm: 3.6845 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0612 loss: 1.0612 2022/08/11 04:21:27 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 2.0000e-03 eta: 10:14:15 time: 0.8367 data_time: 0.0163 memory: 19925 grad_norm: 3.6717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1586 loss: 1.1586 2022/08/11 04:21:43 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 2.0000e-03 eta: 10:13:58 time: 0.8403 data_time: 0.0191 memory: 19925 grad_norm: 3.6790 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/08/11 04:22:00 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 2.0000e-03 eta: 10:13:40 time: 0.8420 data_time: 0.0168 memory: 19925 grad_norm: 3.7294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0053 loss: 1.0053 2022/08/11 04:22:17 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 2.0000e-03 eta: 10:13:23 time: 0.8375 data_time: 0.0163 memory: 19925 grad_norm: 3.7310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/08/11 04:22:34 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 2.0000e-03 eta: 10:13:05 time: 0.8512 data_time: 0.0231 memory: 19925 grad_norm: 3.6565 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1164 loss: 1.1164 2022/08/11 04:22:51 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 2.0000e-03 eta: 10:12:47 time: 0.8361 data_time: 0.0179 memory: 19925 grad_norm: 3.6798 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/11 04:23:08 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 2.0000e-03 eta: 10:12:30 time: 0.8506 data_time: 0.0252 memory: 19925 grad_norm: 3.6120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0676 loss: 1.0676 2022/08/11 04:23:25 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 2.0000e-03 eta: 10:12:13 time: 0.8781 data_time: 0.0562 memory: 19925 grad_norm: 3.6409 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9428 loss: 0.9428 2022/08/11 04:23:42 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 2.0000e-03 eta: 10:11:55 time: 0.8443 data_time: 0.0201 memory: 19925 grad_norm: 3.6604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/08/11 04:23:59 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 2.0000e-03 eta: 10:11:38 time: 0.8404 data_time: 0.0189 memory: 19925 grad_norm: 3.6838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0698 loss: 1.0698 2022/08/11 04:24:21 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 2.0000e-03 eta: 10:11:25 time: 1.1054 data_time: 0.2846 memory: 19925 grad_norm: 3.5977 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0134 loss: 1.0134 2022/08/11 04:24:38 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 2.0000e-03 eta: 10:11:07 time: 0.8346 data_time: 0.0163 memory: 19925 grad_norm: 3.6022 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/11 04:24:55 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 2.0000e-03 eta: 10:10:49 time: 0.8401 data_time: 0.0184 memory: 19925 grad_norm: 3.7752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0559 loss: 1.0559 2022/08/11 04:25:12 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 2.0000e-03 eta: 10:10:32 time: 0.8631 data_time: 0.0183 memory: 19925 grad_norm: 3.6416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0898 loss: 1.0898 2022/08/11 04:25:30 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 2.0000e-03 eta: 10:10:15 time: 0.8867 data_time: 0.0216 memory: 19925 grad_norm: 3.6667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/08/11 04:25:46 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 2.0000e-03 eta: 10:09:58 time: 0.8347 data_time: 0.0165 memory: 19925 grad_norm: 3.6710 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1017 loss: 1.1017 2022/08/11 04:26:03 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 2.0000e-03 eta: 10:09:40 time: 0.8313 data_time: 0.0178 memory: 19925 grad_norm: 3.6510 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/08/11 04:26:20 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 2.0000e-03 eta: 10:09:22 time: 0.8338 data_time: 0.0172 memory: 19925 grad_norm: 3.7794 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2593 loss: 1.2593 2022/08/11 04:26:36 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 2.0000e-03 eta: 10:09:04 time: 0.8328 data_time: 0.0186 memory: 19925 grad_norm: 3.7606 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9844 loss: 0.9844 2022/08/11 04:26:53 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 2.0000e-03 eta: 10:08:47 time: 0.8310 data_time: 0.0195 memory: 19925 grad_norm: 3.6822 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9545 loss: 0.9545 2022/08/11 04:27:10 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 2.0000e-03 eta: 10:08:29 time: 0.8311 data_time: 0.0164 memory: 19925 grad_norm: 3.5251 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/11 04:27:26 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 2.0000e-03 eta: 10:08:11 time: 0.8340 data_time: 0.0180 memory: 19925 grad_norm: 3.7974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0659 loss: 1.0659 2022/08/11 04:27:43 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 2.0000e-03 eta: 10:07:53 time: 0.8321 data_time: 0.0166 memory: 19925 grad_norm: 3.8374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0785 loss: 1.0785 2022/08/11 04:28:01 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 2.0000e-03 eta: 10:07:37 time: 0.8923 data_time: 0.0194 memory: 19925 grad_norm: 3.7464 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8805 loss: 0.8805 2022/08/11 04:28:18 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 2.0000e-03 eta: 10:07:19 time: 0.8573 data_time: 0.0173 memory: 19925 grad_norm: 3.7544 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0461 loss: 1.0461 2022/08/11 04:28:35 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 2.0000e-03 eta: 10:07:02 time: 0.8341 data_time: 0.0190 memory: 19925 grad_norm: 3.6432 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/08/11 04:28:51 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 2.0000e-03 eta: 10:06:44 time: 0.8405 data_time: 0.0175 memory: 19925 grad_norm: 3.8181 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2496 loss: 1.2496 2022/08/11 04:29:08 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 2.0000e-03 eta: 10:06:26 time: 0.8305 data_time: 0.0180 memory: 19925 grad_norm: 3.7216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1710 loss: 1.1710 2022/08/11 04:29:25 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 2.0000e-03 eta: 10:06:08 time: 0.8293 data_time: 0.0170 memory: 19925 grad_norm: 3.7300 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0124 loss: 1.0124 2022/08/11 04:29:41 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 2.0000e-03 eta: 10:05:51 time: 0.8312 data_time: 0.0190 memory: 19925 grad_norm: 3.7135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0449 loss: 1.0449 2022/08/11 04:29:58 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 2.0000e-03 eta: 10:05:33 time: 0.8348 data_time: 0.0253 memory: 19925 grad_norm: 3.8844 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1246 loss: 1.1246 2022/08/11 04:30:15 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 2.0000e-03 eta: 10:05:16 time: 0.8530 data_time: 0.0201 memory: 19925 grad_norm: 3.7413 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1159 loss: 1.1159 2022/08/11 04:30:32 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 2.0000e-03 eta: 10:04:58 time: 0.8523 data_time: 0.0218 memory: 19925 grad_norm: 3.7320 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9958 loss: 0.9958 2022/08/11 04:30:49 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 2.0000e-03 eta: 10:04:40 time: 0.8335 data_time: 0.0167 memory: 19925 grad_norm: 3.7061 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2144 loss: 1.2144 2022/08/11 04:31:08 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 2.0000e-03 eta: 10:04:24 time: 0.9331 data_time: 0.0178 memory: 19925 grad_norm: 3.6808 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/08/11 04:31:24 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 2.0000e-03 eta: 10:04:07 time: 0.8316 data_time: 0.0181 memory: 19925 grad_norm: 3.7029 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0236 loss: 1.0236 2022/08/11 04:31:41 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 2.0000e-03 eta: 10:03:49 time: 0.8348 data_time: 0.0157 memory: 19925 grad_norm: 3.6875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1017 loss: 1.1017 2022/08/11 04:31:58 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 2.0000e-03 eta: 10:03:32 time: 0.8620 data_time: 0.0179 memory: 19925 grad_norm: 3.6917 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0587 loss: 1.0587 2022/08/11 04:32:15 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 2.0000e-03 eta: 10:03:14 time: 0.8322 data_time: 0.0170 memory: 19925 grad_norm: 3.7034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1111 loss: 1.1111 2022/08/11 04:32:31 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 2.0000e-03 eta: 10:02:56 time: 0.8346 data_time: 0.0173 memory: 19925 grad_norm: 3.6883 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0558 loss: 1.0558 2022/08/11 04:32:37 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 04:32:48 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 2.0000e-03 eta: 10:02:39 time: 0.8337 data_time: 0.0183 memory: 19925 grad_norm: 3.7025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0005 loss: 1.0005 2022/08/11 04:33:05 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 2.0000e-03 eta: 10:02:21 time: 0.8374 data_time: 0.0170 memory: 19925 grad_norm: 3.7655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0305 loss: 1.0305 2022/08/11 04:33:23 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 2.0000e-03 eta: 10:02:05 time: 0.9252 data_time: 0.0179 memory: 19925 grad_norm: 3.7633 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0617 loss: 1.0617 2022/08/11 04:33:40 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 2.0000e-03 eta: 10:01:47 time: 0.8366 data_time: 0.0180 memory: 19925 grad_norm: 3.7310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0059 loss: 1.0059 2022/08/11 04:33:57 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 2.0000e-03 eta: 10:01:29 time: 0.8401 data_time: 0.0166 memory: 19925 grad_norm: 3.7675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0162 loss: 1.0162 2022/08/11 04:34:14 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 2.0000e-03 eta: 10:01:12 time: 0.8331 data_time: 0.0187 memory: 19925 grad_norm: 3.7181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/08/11 04:34:30 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 2.0000e-03 eta: 10:00:54 time: 0.8310 data_time: 0.0160 memory: 19925 grad_norm: 3.7102 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/11 04:34:47 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 2.0000e-03 eta: 10:00:36 time: 0.8411 data_time: 0.0176 memory: 19925 grad_norm: 3.6993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9324 loss: 0.9324 2022/08/11 04:35:05 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 2.0000e-03 eta: 10:00:19 time: 0.8824 data_time: 0.0177 memory: 19925 grad_norm: 3.8091 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1825 loss: 1.1825 2022/08/11 04:35:22 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 2.0000e-03 eta: 10:00:03 time: 0.8874 data_time: 0.0341 memory: 19925 grad_norm: 3.6353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/08/11 04:35:42 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 2.0000e-03 eta: 9:59:47 time: 0.9584 data_time: 0.0157 memory: 19925 grad_norm: 3.7211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1344 loss: 1.1344 2022/08/11 04:35:59 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 2.0000e-03 eta: 9:59:29 time: 0.8487 data_time: 0.0172 memory: 19925 grad_norm: 3.6701 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9265 loss: 0.9265 2022/08/11 04:36:16 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 2.0000e-03 eta: 9:59:12 time: 0.8522 data_time: 0.0254 memory: 19925 grad_norm: 3.6647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/08/11 04:36:32 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 2.0000e-03 eta: 9:58:54 time: 0.8367 data_time: 0.0175 memory: 19925 grad_norm: 3.7070 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0915 loss: 1.0915 2022/08/11 04:36:49 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 2.0000e-03 eta: 9:58:37 time: 0.8415 data_time: 0.0169 memory: 19925 grad_norm: 3.6396 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0308 loss: 1.0308 2022/08/11 04:37:06 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 2.0000e-03 eta: 9:58:19 time: 0.8353 data_time: 0.0169 memory: 19925 grad_norm: 3.8749 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1964 loss: 1.1964 2022/08/11 04:37:23 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 2.0000e-03 eta: 9:58:01 time: 0.8327 data_time: 0.0177 memory: 19925 grad_norm: 3.6560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/08/11 04:37:39 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 2.0000e-03 eta: 9:57:44 time: 0.8307 data_time: 0.0176 memory: 19925 grad_norm: 3.7122 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0358 loss: 1.0358 2022/08/11 04:37:58 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 2.0000e-03 eta: 9:57:27 time: 0.9129 data_time: 0.0166 memory: 19925 grad_norm: 3.8034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1434 loss: 1.1434 2022/08/11 04:38:14 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 2.0000e-03 eta: 9:57:10 time: 0.8390 data_time: 0.0165 memory: 19925 grad_norm: 3.6517 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0228 loss: 1.0228 2022/08/11 04:38:31 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 2.0000e-03 eta: 9:56:52 time: 0.8294 data_time: 0.0167 memory: 19925 grad_norm: 3.7456 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/08/11 04:38:48 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 2.0000e-03 eta: 9:56:34 time: 0.8392 data_time: 0.0176 memory: 19925 grad_norm: 3.6715 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/11 04:39:04 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 2.0000e-03 eta: 9:56:17 time: 0.8375 data_time: 0.0186 memory: 19925 grad_norm: 3.7970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1033 loss: 1.1033 2022/08/11 04:39:21 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 2.0000e-03 eta: 9:55:59 time: 0.8311 data_time: 0.0158 memory: 19925 grad_norm: 3.7075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0855 loss: 1.0855 2022/08/11 04:39:38 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 2.0000e-03 eta: 9:55:41 time: 0.8403 data_time: 0.0183 memory: 19925 grad_norm: 3.7557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9902 loss: 0.9902 2022/08/11 04:39:55 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 2.0000e-03 eta: 9:55:24 time: 0.8477 data_time: 0.0190 memory: 19925 grad_norm: 3.8383 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/08/11 04:40:12 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 2.0000e-03 eta: 9:55:06 time: 0.8453 data_time: 0.0163 memory: 19925 grad_norm: 3.7214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0982 loss: 1.0982 2022/08/11 04:40:29 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 2.0000e-03 eta: 9:54:49 time: 0.8538 data_time: 0.0254 memory: 19925 grad_norm: 3.6928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/08/11 04:40:45 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 2.0000e-03 eta: 9:54:31 time: 0.8304 data_time: 0.0158 memory: 19925 grad_norm: 3.7194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/08/11 04:41:02 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 2.0000e-03 eta: 9:54:14 time: 0.8381 data_time: 0.0176 memory: 19925 grad_norm: 3.7928 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/08/11 04:41:18 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 04:41:18 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 2.0000e-03 eta: 9:54:14 time: 0.8138 data_time: 0.0166 memory: 19925 grad_norm: 3.7565 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/08/11 04:41:34 - mmengine - INFO - Epoch(val) [28][20/155] eta: 0:01:46 time: 0.7909 data_time: 0.5582 memory: 2570 2022/08/11 04:41:51 - mmengine - INFO - Epoch(val) [28][40/155] eta: 0:01:40 time: 0.8742 data_time: 0.6414 memory: 2570 2022/08/11 04:42:04 - mmengine - INFO - Epoch(val) [28][60/155] eta: 0:01:03 time: 0.6725 data_time: 0.4438 memory: 2570 2022/08/11 04:42:18 - mmengine - INFO - Epoch(val) [28][80/155] eta: 0:00:51 time: 0.6933 data_time: 0.4644 memory: 2570 2022/08/11 04:42:34 - mmengine - INFO - Epoch(val) [28][100/155] eta: 0:00:44 time: 0.8069 data_time: 0.5789 memory: 2570 2022/08/11 04:42:48 - mmengine - INFO - Epoch(val) [28][120/155] eta: 0:00:23 time: 0.6728 data_time: 0.4441 memory: 2570 2022/08/11 04:43:00 - mmengine - INFO - Epoch(val) [28][140/155] eta: 0:00:08 time: 0.5890 data_time: 0.3565 memory: 2570 2022/08/11 04:43:22 - mmengine - INFO - Epoch(val) [28][155/155] acc/top1: 0.7025 acc/top5: 0.8955 acc/mean1: 0.7024 2022/08/11 04:43:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/08/11 04:43:24 - mmengine - INFO - The best checkpoint with 0.7025 acc/top1 at 29 epoch is saved to best_acc/top1_epoch_29.pth. 2022/08/11 04:43:50 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 2.0000e-03 eta: 9:53:34 time: 1.2882 data_time: 0.1945 memory: 19925 grad_norm: 3.6820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0455 loss: 1.0455 2022/08/11 04:44:06 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 2.0000e-03 eta: 9:53:16 time: 0.8315 data_time: 0.0176 memory: 19925 grad_norm: 3.7852 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0088 loss: 1.0088 2022/08/11 04:44:32 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 2.0000e-03 eta: 9:53:05 time: 1.2887 data_time: 0.0156 memory: 19925 grad_norm: 3.7001 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0951 loss: 1.0951 2022/08/11 04:44:49 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 2.0000e-03 eta: 9:52:48 time: 0.8398 data_time: 0.0169 memory: 19925 grad_norm: 3.6849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/08/11 04:45:08 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 2.0000e-03 eta: 9:52:32 time: 0.9617 data_time: 0.0163 memory: 19925 grad_norm: 3.6535 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0178 loss: 1.0178 2022/08/11 04:45:25 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 2.0000e-03 eta: 9:52:15 time: 0.8357 data_time: 0.0199 memory: 19925 grad_norm: 3.7858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/08/11 04:45:42 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 2.0000e-03 eta: 9:51:57 time: 0.8336 data_time: 0.0175 memory: 19925 grad_norm: 3.7118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2182 loss: 1.2182 2022/08/11 04:45:58 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 2.0000e-03 eta: 9:51:39 time: 0.8332 data_time: 0.0173 memory: 19925 grad_norm: 3.6730 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.9746 loss: 0.9746 2022/08/11 04:46:16 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 2.0000e-03 eta: 9:51:22 time: 0.8694 data_time: 0.0177 memory: 19925 grad_norm: 3.6606 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9984 loss: 0.9984 2022/08/11 04:46:33 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 2.0000e-03 eta: 9:51:04 time: 0.8395 data_time: 0.0169 memory: 19925 grad_norm: 3.6374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0472 loss: 1.0472 2022/08/11 04:46:54 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 2.0000e-03 eta: 9:50:50 time: 1.0652 data_time: 0.0155 memory: 19925 grad_norm: 3.7413 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1364 loss: 1.1364 2022/08/11 04:47:11 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 2.0000e-03 eta: 9:50:33 time: 0.8399 data_time: 0.0190 memory: 19925 grad_norm: 3.7651 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0907 loss: 1.0907 2022/08/11 04:47:27 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 2.0000e-03 eta: 9:50:15 time: 0.8393 data_time: 0.0160 memory: 19925 grad_norm: 3.6833 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8979 loss: 0.8979 2022/08/11 04:47:45 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 2.0000e-03 eta: 9:49:58 time: 0.8510 data_time: 0.0200 memory: 19925 grad_norm: 3.7947 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1294 loss: 1.1294 2022/08/11 04:48:03 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 2.0000e-03 eta: 9:49:41 time: 0.9021 data_time: 0.0171 memory: 19925 grad_norm: 3.6876 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/08/11 04:48:19 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 2.0000e-03 eta: 9:49:24 time: 0.8402 data_time: 0.0178 memory: 19925 grad_norm: 3.7195 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0264 loss: 1.0264 2022/08/11 04:48:37 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 2.0000e-03 eta: 9:49:07 time: 0.9019 data_time: 0.0163 memory: 19925 grad_norm: 3.6402 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0080 loss: 1.0080 2022/08/11 04:49:01 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 2.0000e-03 eta: 9:48:55 time: 1.1847 data_time: 0.0172 memory: 19925 grad_norm: 3.7003 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/11 04:49:18 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 2.0000e-03 eta: 9:48:37 time: 0.8370 data_time: 0.0191 memory: 19925 grad_norm: 3.6551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8759 loss: 0.8759 2022/08/11 04:49:25 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 04:49:35 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 2.0000e-03 eta: 9:48:19 time: 0.8399 data_time: 0.0179 memory: 19925 grad_norm: 3.7341 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9030 loss: 0.9030 2022/08/11 04:49:51 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 2.0000e-03 eta: 9:48:02 time: 0.8389 data_time: 0.0188 memory: 19925 grad_norm: 3.7821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9823 loss: 0.9823 2022/08/11 04:50:09 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 2.0000e-03 eta: 9:47:45 time: 0.8616 data_time: 0.0284 memory: 19925 grad_norm: 3.6382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/08/11 04:50:26 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 2.0000e-03 eta: 9:47:27 time: 0.8512 data_time: 0.0309 memory: 19925 grad_norm: 3.6298 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1678 loss: 1.1678 2022/08/11 04:50:43 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 2.0000e-03 eta: 9:47:10 time: 0.8436 data_time: 0.0185 memory: 19925 grad_norm: 3.7114 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/08/11 04:51:00 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 2.0000e-03 eta: 9:46:52 time: 0.8559 data_time: 0.0163 memory: 19925 grad_norm: 3.8119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/08/11 04:51:16 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 2.0000e-03 eta: 9:46:35 time: 0.8388 data_time: 0.0191 memory: 19925 grad_norm: 3.7642 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0216 loss: 1.0216 2022/08/11 04:51:33 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 2.0000e-03 eta: 9:46:17 time: 0.8371 data_time: 0.0179 memory: 19925 grad_norm: 3.6857 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.1227 loss: 1.1227 2022/08/11 04:51:50 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 2.0000e-03 eta: 9:46:00 time: 0.8413 data_time: 0.0166 memory: 19925 grad_norm: 3.7674 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9265 loss: 0.9265 2022/08/11 04:52:07 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 2.0000e-03 eta: 9:45:42 time: 0.8428 data_time: 0.0173 memory: 19925 grad_norm: 3.7673 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.9995 loss: 0.9995 2022/08/11 04:52:24 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 2.0000e-03 eta: 9:45:24 time: 0.8397 data_time: 0.0190 memory: 19925 grad_norm: 3.5883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9043 loss: 0.9043 2022/08/11 04:52:40 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 2.0000e-03 eta: 9:45:07 time: 0.8351 data_time: 0.0172 memory: 19925 grad_norm: 3.6978 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/11 04:52:57 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 2.0000e-03 eta: 9:44:49 time: 0.8463 data_time: 0.0174 memory: 19925 grad_norm: 3.6836 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0458 loss: 1.0458 2022/08/11 04:53:14 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 2.0000e-03 eta: 9:44:32 time: 0.8433 data_time: 0.0171 memory: 19925 grad_norm: 3.8404 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/08/11 04:53:31 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 2.0000e-03 eta: 9:44:14 time: 0.8355 data_time: 0.0178 memory: 19925 grad_norm: 3.7205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9323 loss: 0.9323 2022/08/11 04:53:48 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 2.0000e-03 eta: 9:43:57 time: 0.8429 data_time: 0.0162 memory: 19925 grad_norm: 3.6509 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1685 loss: 1.1685 2022/08/11 04:54:05 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 2.0000e-03 eta: 9:43:39 time: 0.8444 data_time: 0.0172 memory: 19925 grad_norm: 3.8252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0715 loss: 1.0715 2022/08/11 04:54:22 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 2.0000e-03 eta: 9:43:21 time: 0.8379 data_time: 0.0166 memory: 19925 grad_norm: 3.7308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8786 loss: 0.8786 2022/08/11 04:54:38 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 2.0000e-03 eta: 9:43:04 time: 0.8426 data_time: 0.0177 memory: 19925 grad_norm: 3.7093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0166 loss: 1.0166 2022/08/11 04:54:55 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 2.0000e-03 eta: 9:42:46 time: 0.8413 data_time: 0.0179 memory: 19925 grad_norm: 3.7452 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9090 loss: 0.9090 2022/08/11 04:55:13 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 2.0000e-03 eta: 9:42:30 time: 0.9138 data_time: 0.0186 memory: 19925 grad_norm: 3.6719 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2490 loss: 1.2490 2022/08/11 04:55:35 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 2.0000e-03 eta: 9:42:16 time: 1.0726 data_time: 0.0172 memory: 19925 grad_norm: 3.8235 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1548 loss: 1.1548 2022/08/11 04:55:52 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 2.0000e-03 eta: 9:41:58 time: 0.8412 data_time: 0.0176 memory: 19925 grad_norm: 3.7989 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0762 loss: 1.0762 2022/08/11 04:56:09 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 2.0000e-03 eta: 9:41:41 time: 0.8421 data_time: 0.0170 memory: 19925 grad_norm: 3.6681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/08/11 04:56:25 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 2.0000e-03 eta: 9:41:23 time: 0.8387 data_time: 0.0181 memory: 19925 grad_norm: 3.7232 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/08/11 04:56:43 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 2.0000e-03 eta: 9:41:06 time: 0.9012 data_time: 0.0168 memory: 19925 grad_norm: 3.8713 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/08/11 04:57:01 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 2.0000e-03 eta: 9:40:49 time: 0.8605 data_time: 0.0163 memory: 19925 grad_norm: 3.7318 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/08/11 04:57:17 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 2.0000e-03 eta: 9:40:32 time: 0.8412 data_time: 0.0181 memory: 19925 grad_norm: 3.7910 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8767 loss: 0.8767 2022/08/11 04:57:36 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 2.0000e-03 eta: 9:40:15 time: 0.9313 data_time: 0.0186 memory: 19925 grad_norm: 3.7680 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0495 loss: 1.0495 2022/08/11 04:57:55 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 2.0000e-03 eta: 9:39:59 time: 0.9416 data_time: 0.0159 memory: 19925 grad_norm: 3.8375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0276 loss: 1.0276 2022/08/11 04:58:12 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 2.0000e-03 eta: 9:39:42 time: 0.8384 data_time: 0.0185 memory: 19925 grad_norm: 3.7621 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9696 loss: 0.9696 2022/08/11 04:58:29 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 2.0000e-03 eta: 9:39:24 time: 0.8451 data_time: 0.0175 memory: 19925 grad_norm: 3.7790 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0555 loss: 1.0555 2022/08/11 04:58:45 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 2.0000e-03 eta: 9:39:07 time: 0.8408 data_time: 0.0175 memory: 19925 grad_norm: 3.7413 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/08/11 04:59:03 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 2.0000e-03 eta: 9:38:50 time: 0.8939 data_time: 0.0172 memory: 19925 grad_norm: 3.7848 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1717 loss: 1.1717 2022/08/11 04:59:20 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 2.0000e-03 eta: 9:38:32 time: 0.8468 data_time: 0.0185 memory: 19925 grad_norm: 3.6679 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1402 loss: 1.1402 2022/08/11 04:59:37 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 2.0000e-03 eta: 9:38:15 time: 0.8368 data_time: 0.0160 memory: 19925 grad_norm: 3.8264 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/08/11 04:59:55 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 2.0000e-03 eta: 9:37:58 time: 0.9042 data_time: 0.0194 memory: 19925 grad_norm: 3.7104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/08/11 05:00:12 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 2.0000e-03 eta: 9:37:41 time: 0.8497 data_time: 0.0290 memory: 19925 grad_norm: 3.7509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9978 loss: 0.9978 2022/08/11 05:00:29 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 2.0000e-03 eta: 9:37:23 time: 0.8382 data_time: 0.0179 memory: 19925 grad_norm: 3.8075 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/08/11 05:00:46 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 2.0000e-03 eta: 9:37:06 time: 0.8403 data_time: 0.0177 memory: 19925 grad_norm: 3.8259 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2151 loss: 1.2151 2022/08/11 05:01:03 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 2.0000e-03 eta: 9:36:48 time: 0.8601 data_time: 0.0177 memory: 19925 grad_norm: 3.7308 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0782 loss: 1.0782 2022/08/11 05:01:20 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 2.0000e-03 eta: 9:36:31 time: 0.8373 data_time: 0.0172 memory: 19925 grad_norm: 3.7380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9038 loss: 0.9038 2022/08/11 05:01:36 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 2.0000e-03 eta: 9:36:13 time: 0.8288 data_time: 0.0190 memory: 19925 grad_norm: 3.7666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9265 loss: 0.9265 2022/08/11 05:01:53 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 2.0000e-03 eta: 9:35:55 time: 0.8388 data_time: 0.0185 memory: 19925 grad_norm: 3.7091 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0961 loss: 1.0961 2022/08/11 05:02:10 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 2.0000e-03 eta: 9:35:38 time: 0.8333 data_time: 0.0180 memory: 19925 grad_norm: 3.7469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0654 loss: 1.0654 2022/08/11 05:02:26 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 2.0000e-03 eta: 9:35:20 time: 0.8320 data_time: 0.0169 memory: 19925 grad_norm: 3.7678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0771 loss: 1.0771 2022/08/11 05:02:43 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 2.0000e-03 eta: 9:35:02 time: 0.8328 data_time: 0.0169 memory: 19925 grad_norm: 3.8838 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0868 loss: 1.0868 2022/08/11 05:03:00 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 2.0000e-03 eta: 9:34:45 time: 0.8379 data_time: 0.0182 memory: 19925 grad_norm: 3.7634 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0615 loss: 1.0615 2022/08/11 05:03:16 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 2.0000e-03 eta: 9:34:27 time: 0.8323 data_time: 0.0179 memory: 19925 grad_norm: 3.7783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8850 loss: 0.8850 2022/08/11 05:03:33 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 2.0000e-03 eta: 9:34:09 time: 0.8348 data_time: 0.0182 memory: 19925 grad_norm: 3.6861 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0943 loss: 1.0943 2022/08/11 05:03:40 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 05:03:50 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 2.0000e-03 eta: 9:33:52 time: 0.8390 data_time: 0.0179 memory: 19925 grad_norm: 3.8002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9844 loss: 0.9844 2022/08/11 05:04:07 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 2.0000e-03 eta: 9:33:34 time: 0.8340 data_time: 0.0179 memory: 19925 grad_norm: 3.8130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0665 loss: 1.0665 2022/08/11 05:04:23 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 2.0000e-03 eta: 9:33:16 time: 0.8357 data_time: 0.0182 memory: 19925 grad_norm: 3.7825 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2410 loss: 1.2410 2022/08/11 05:04:40 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 2.0000e-03 eta: 9:32:59 time: 0.8342 data_time: 0.0186 memory: 19925 grad_norm: 3.7802 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/08/11 05:04:57 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 2.0000e-03 eta: 9:32:41 time: 0.8304 data_time: 0.0172 memory: 19925 grad_norm: 3.8115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/08/11 05:05:14 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 2.0000e-03 eta: 9:32:24 time: 0.8598 data_time: 0.0343 memory: 19925 grad_norm: 3.6094 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9172 loss: 0.9172 2022/08/11 05:05:32 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 2.0000e-03 eta: 9:32:08 time: 0.9272 data_time: 0.1030 memory: 19925 grad_norm: 3.7993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/08/11 05:05:49 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 2.0000e-03 eta: 9:31:50 time: 0.8322 data_time: 0.0138 memory: 19925 grad_norm: 3.8350 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0497 loss: 1.0497 2022/08/11 05:06:06 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 2.0000e-03 eta: 9:31:32 time: 0.8306 data_time: 0.0174 memory: 19925 grad_norm: 3.7376 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9723 loss: 0.9723 2022/08/11 05:06:22 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 2.0000e-03 eta: 9:31:14 time: 0.8307 data_time: 0.0163 memory: 19925 grad_norm: 3.7430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/11 05:06:39 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 2.0000e-03 eta: 9:30:57 time: 0.8290 data_time: 0.0193 memory: 19925 grad_norm: 3.8368 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0982 loss: 1.0982 2022/08/11 05:06:55 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 2.0000e-03 eta: 9:30:39 time: 0.8283 data_time: 0.0174 memory: 19925 grad_norm: 3.9370 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0321 loss: 1.0321 2022/08/11 05:07:12 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 2.0000e-03 eta: 9:30:21 time: 0.8328 data_time: 0.0185 memory: 19925 grad_norm: 3.7797 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9114 loss: 0.9114 2022/08/11 05:07:29 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 2.0000e-03 eta: 9:30:04 time: 0.8363 data_time: 0.0251 memory: 19925 grad_norm: 3.7952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/08/11 05:07:45 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 2.0000e-03 eta: 9:29:46 time: 0.8333 data_time: 0.0187 memory: 19925 grad_norm: 3.7396 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9532 loss: 0.9532 2022/08/11 05:08:03 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 2.0000e-03 eta: 9:29:29 time: 0.8868 data_time: 0.0671 memory: 19925 grad_norm: 3.7147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1146 loss: 1.1146 2022/08/11 05:08:20 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 2.0000e-03 eta: 9:29:11 time: 0.8315 data_time: 0.0174 memory: 19925 grad_norm: 3.6880 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/08/11 05:08:36 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 2.0000e-03 eta: 9:28:54 time: 0.8263 data_time: 0.0174 memory: 19925 grad_norm: 3.7429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1042 loss: 1.1042 2022/08/11 05:08:53 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 2.0000e-03 eta: 9:28:36 time: 0.8305 data_time: 0.0174 memory: 19925 grad_norm: 3.7967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0006 loss: 1.0006 2022/08/11 05:09:10 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 2.0000e-03 eta: 9:28:18 time: 0.8346 data_time: 0.0196 memory: 19925 grad_norm: 3.8444 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9939 loss: 0.9939 2022/08/11 05:09:26 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 2.0000e-03 eta: 9:28:01 time: 0.8306 data_time: 0.0182 memory: 19925 grad_norm: 3.8570 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0565 loss: 1.0565 2022/08/11 05:09:43 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 2.0000e-03 eta: 9:27:43 time: 0.8340 data_time: 0.0177 memory: 19925 grad_norm: 3.8515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1177 loss: 1.1177 2022/08/11 05:10:00 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 2.0000e-03 eta: 9:27:26 time: 0.8503 data_time: 0.0212 memory: 19925 grad_norm: 3.7849 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0229 loss: 1.0229 2022/08/11 05:10:17 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 2.0000e-03 eta: 9:27:08 time: 0.8474 data_time: 0.0279 memory: 19925 grad_norm: 3.8317 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1059 loss: 1.1059 2022/08/11 05:10:32 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 05:10:32 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 2.0000e-03 eta: 9:27:08 time: 0.8160 data_time: 0.0178 memory: 19925 grad_norm: 3.7993 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/08/11 05:10:51 - mmengine - INFO - Epoch(val) [29][20/155] eta: 0:02:01 time: 0.9010 data_time: 0.6679 memory: 2570 2022/08/11 05:10:58 - mmengine - INFO - Epoch(val) [29][40/155] eta: 0:00:41 time: 0.3615 data_time: 0.1295 memory: 2570 2022/08/11 05:11:12 - mmengine - INFO - Epoch(val) [29][60/155] eta: 0:01:07 time: 0.7140 data_time: 0.4838 memory: 2570 2022/08/11 05:11:27 - mmengine - INFO - Epoch(val) [29][80/155] eta: 0:00:56 time: 0.7470 data_time: 0.5146 memory: 2570 2022/08/11 05:11:41 - mmengine - INFO - Epoch(val) [29][100/155] eta: 0:00:38 time: 0.6937 data_time: 0.4622 memory: 2570 2022/08/11 05:11:48 - mmengine - INFO - Epoch(val) [29][120/155] eta: 0:00:12 time: 0.3678 data_time: 0.1361 memory: 2570 2022/08/11 05:12:01 - mmengine - INFO - Epoch(val) [29][140/155] eta: 0:00:09 time: 0.6351 data_time: 0.4061 memory: 2570 2022/08/11 05:12:12 - mmengine - INFO - Epoch(val) [29][155/155] acc/top1: 0.7044 acc/top5: 0.8986 acc/mean1: 0.7043 2022/08/11 05:12:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_29.pth is removed 2022/08/11 05:12:13 - mmengine - INFO - The best checkpoint with 0.7044 acc/top1 at 30 epoch is saved to best_acc/top1_epoch_30.pth. 2022/08/11 05:12:36 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 2.0000e-03 eta: 9:26:26 time: 1.1112 data_time: 0.2260 memory: 19925 grad_norm: 3.6380 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1732 loss: 1.1732 2022/08/11 05:12:52 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 2.0000e-03 eta: 9:26:09 time: 0.8254 data_time: 0.0187 memory: 19925 grad_norm: 3.7816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9116 loss: 0.9116 2022/08/11 05:13:09 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 2.0000e-03 eta: 9:25:51 time: 0.8279 data_time: 0.0192 memory: 19925 grad_norm: 3.6825 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9598 loss: 0.9598 2022/08/11 05:13:25 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 2.0000e-03 eta: 9:25:33 time: 0.8267 data_time: 0.0185 memory: 19925 grad_norm: 3.7844 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9228 loss: 0.9228 2022/08/11 05:13:42 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 2.0000e-03 eta: 9:25:15 time: 0.8308 data_time: 0.0186 memory: 19925 grad_norm: 3.7646 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0670 loss: 1.0670 2022/08/11 05:13:59 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 2.0000e-03 eta: 9:24:58 time: 0.8336 data_time: 0.0182 memory: 19925 grad_norm: 3.7837 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/08/11 05:14:15 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 2.0000e-03 eta: 9:24:40 time: 0.8313 data_time: 0.0190 memory: 19925 grad_norm: 3.8095 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1506 loss: 1.1506 2022/08/11 05:14:32 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 2.0000e-03 eta: 9:24:22 time: 0.8367 data_time: 0.0197 memory: 19925 grad_norm: 3.6544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/08/11 05:14:48 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 2.0000e-03 eta: 9:24:05 time: 0.8296 data_time: 0.0183 memory: 19925 grad_norm: 3.5985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9063 loss: 0.9063 2022/08/11 05:15:05 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 2.0000e-03 eta: 9:23:47 time: 0.8327 data_time: 0.0181 memory: 19925 grad_norm: 3.6056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0244 loss: 1.0244 2022/08/11 05:15:23 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 2.0000e-03 eta: 9:23:30 time: 0.8749 data_time: 0.0579 memory: 19925 grad_norm: 3.7144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/08/11 05:15:40 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 2.0000e-03 eta: 9:23:13 time: 0.8430 data_time: 0.0242 memory: 19925 grad_norm: 3.7557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8350 loss: 0.8350 2022/08/11 05:15:56 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 2.0000e-03 eta: 9:22:55 time: 0.8456 data_time: 0.0266 memory: 19925 grad_norm: 3.7389 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0056 loss: 1.0056 2022/08/11 05:16:13 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 2.0000e-03 eta: 9:22:38 time: 0.8368 data_time: 0.0171 memory: 19925 grad_norm: 3.7532 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/08/11 05:16:30 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 2.0000e-03 eta: 9:22:20 time: 0.8348 data_time: 0.0167 memory: 19925 grad_norm: 3.7032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0863 loss: 1.0863 2022/08/11 05:16:47 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 2.0000e-03 eta: 9:22:02 time: 0.8332 data_time: 0.0174 memory: 19925 grad_norm: 3.7915 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1469 loss: 1.1469 2022/08/11 05:17:03 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 2.0000e-03 eta: 9:21:45 time: 0.8355 data_time: 0.0180 memory: 19925 grad_norm: 3.7164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9564 loss: 0.9564 2022/08/11 05:17:20 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 2.0000e-03 eta: 9:21:27 time: 0.8367 data_time: 0.0176 memory: 19925 grad_norm: 3.8623 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0118 loss: 1.0118 2022/08/11 05:17:37 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 2.0000e-03 eta: 9:21:10 time: 0.8407 data_time: 0.0175 memory: 19925 grad_norm: 3.9603 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0659 loss: 1.0659 2022/08/11 05:17:55 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 2.0000e-03 eta: 9:20:53 time: 0.9315 data_time: 0.0169 memory: 19925 grad_norm: 3.7478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9715 loss: 0.9715 2022/08/11 05:18:12 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 2.0000e-03 eta: 9:20:36 time: 0.8460 data_time: 0.0190 memory: 19925 grad_norm: 3.7246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9626 loss: 0.9626 2022/08/11 05:18:29 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 2.0000e-03 eta: 9:20:18 time: 0.8385 data_time: 0.0175 memory: 19925 grad_norm: 3.6288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/08/11 05:18:46 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 2.0000e-03 eta: 9:20:01 time: 0.8339 data_time: 0.0155 memory: 19925 grad_norm: 3.9262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9458 loss: 0.9458 2022/08/11 05:19:03 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 2.0000e-03 eta: 9:19:43 time: 0.8424 data_time: 0.0234 memory: 19925 grad_norm: 3.7789 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0860 loss: 1.0860 2022/08/11 05:19:19 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 2.0000e-03 eta: 9:19:26 time: 0.8362 data_time: 0.0176 memory: 19925 grad_norm: 3.8184 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1569 loss: 1.1569 2022/08/11 05:19:27 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 05:19:36 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 2.0000e-03 eta: 9:19:08 time: 0.8374 data_time: 0.0168 memory: 19925 grad_norm: 3.6490 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8931 loss: 0.8931 2022/08/11 05:19:53 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 2.0000e-03 eta: 9:18:50 time: 0.8372 data_time: 0.0189 memory: 19925 grad_norm: 3.8853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/08/11 05:20:10 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 2.0000e-03 eta: 9:18:33 time: 0.8311 data_time: 0.0168 memory: 19925 grad_norm: 3.7968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9743 loss: 0.9743 2022/08/11 05:20:28 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 2.0000e-03 eta: 9:18:16 time: 0.8981 data_time: 0.0266 memory: 19925 grad_norm: 3.8504 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8846 loss: 0.8846 2022/08/11 05:20:44 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 2.0000e-03 eta: 9:17:58 time: 0.8313 data_time: 0.0185 memory: 19925 grad_norm: 3.7997 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0275 loss: 1.0275 2022/08/11 05:21:01 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 2.0000e-03 eta: 9:17:41 time: 0.8353 data_time: 0.0174 memory: 19925 grad_norm: 3.7767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9521 loss: 0.9521 2022/08/11 05:21:18 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 2.0000e-03 eta: 9:17:23 time: 0.8354 data_time: 0.0177 memory: 19925 grad_norm: 3.7370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1006 loss: 1.1006 2022/08/11 05:21:34 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 2.0000e-03 eta: 9:17:06 time: 0.8345 data_time: 0.0178 memory: 19925 grad_norm: 3.7153 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0511 loss: 1.0511 2022/08/11 05:21:51 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 2.0000e-03 eta: 9:16:48 time: 0.8328 data_time: 0.0177 memory: 19925 grad_norm: 3.7863 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0358 loss: 1.0358 2022/08/11 05:22:08 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 2.0000e-03 eta: 9:16:30 time: 0.8359 data_time: 0.0178 memory: 19925 grad_norm: 3.8601 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9532 loss: 0.9532 2022/08/11 05:22:24 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 2.0000e-03 eta: 9:16:13 time: 0.8361 data_time: 0.0181 memory: 19925 grad_norm: 3.8203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9900 loss: 0.9900 2022/08/11 05:22:41 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 2.0000e-03 eta: 9:15:55 time: 0.8319 data_time: 0.0174 memory: 19925 grad_norm: 3.7392 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0709 loss: 1.0709 2022/08/11 05:22:58 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 2.0000e-03 eta: 9:15:38 time: 0.8334 data_time: 0.0172 memory: 19925 grad_norm: 3.8483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/08/11 05:23:14 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 2.0000e-03 eta: 9:15:20 time: 0.8340 data_time: 0.0185 memory: 19925 grad_norm: 3.8239 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0515 loss: 1.0515 2022/08/11 05:23:31 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 2.0000e-03 eta: 9:15:02 time: 0.8397 data_time: 0.0181 memory: 19925 grad_norm: 3.8461 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/08/11 05:23:48 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 2.0000e-03 eta: 9:14:45 time: 0.8423 data_time: 0.0173 memory: 19925 grad_norm: 3.8108 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0000 loss: 1.0000 2022/08/11 05:24:05 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 2.0000e-03 eta: 9:14:27 time: 0.8356 data_time: 0.0168 memory: 19925 grad_norm: 3.8170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/08/11 05:24:21 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 2.0000e-03 eta: 9:14:10 time: 0.8316 data_time: 0.0176 memory: 19925 grad_norm: 3.8563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/08/11 05:24:38 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 2.0000e-03 eta: 9:13:52 time: 0.8371 data_time: 0.0179 memory: 19925 grad_norm: 3.8649 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1923 loss: 1.1923 2022/08/11 05:24:55 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 2.0000e-03 eta: 9:13:35 time: 0.8630 data_time: 0.0364 memory: 19925 grad_norm: 3.8928 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0713 loss: 1.0713 2022/08/11 05:25:12 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 2.0000e-03 eta: 9:13:17 time: 0.8406 data_time: 0.0210 memory: 19925 grad_norm: 3.7135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9499 loss: 0.9499 2022/08/11 05:25:29 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 2.0000e-03 eta: 9:13:00 time: 0.8346 data_time: 0.0182 memory: 19925 grad_norm: 3.7129 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1670 loss: 1.1670 2022/08/11 05:25:46 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 2.0000e-03 eta: 9:12:42 time: 0.8329 data_time: 0.0167 memory: 19925 grad_norm: 3.7533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/08/11 05:26:02 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 2.0000e-03 eta: 9:12:25 time: 0.8323 data_time: 0.0178 memory: 19925 grad_norm: 3.8179 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0041 loss: 1.0041 2022/08/11 05:26:19 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 2.0000e-03 eta: 9:12:07 time: 0.8290 data_time: 0.0169 memory: 19925 grad_norm: 3.7393 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0965 loss: 1.0965 2022/08/11 05:26:36 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 2.0000e-03 eta: 9:11:49 time: 0.8308 data_time: 0.0184 memory: 19925 grad_norm: 3.8126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9043 loss: 0.9043 2022/08/11 05:26:52 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 2.0000e-03 eta: 9:11:32 time: 0.8333 data_time: 0.0191 memory: 19925 grad_norm: 3.8695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9534 loss: 0.9534 2022/08/11 05:27:09 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 2.0000e-03 eta: 9:11:14 time: 0.8400 data_time: 0.0173 memory: 19925 grad_norm: 3.7901 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0792 loss: 1.0792 2022/08/11 05:27:26 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 2.0000e-03 eta: 9:10:56 time: 0.8319 data_time: 0.0160 memory: 19925 grad_norm: 3.7890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/08/11 05:27:42 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 2.0000e-03 eta: 9:10:39 time: 0.8353 data_time: 0.0175 memory: 19925 grad_norm: 3.8577 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0557 loss: 1.0557 2022/08/11 05:28:00 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 2.0000e-03 eta: 9:10:22 time: 0.9069 data_time: 0.0183 memory: 19925 grad_norm: 3.8248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0187 loss: 1.0187 2022/08/11 05:28:17 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 2.0000e-03 eta: 9:10:05 time: 0.8392 data_time: 0.0164 memory: 19925 grad_norm: 3.8586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/08/11 05:28:34 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 2.0000e-03 eta: 9:09:47 time: 0.8380 data_time: 0.0190 memory: 19925 grad_norm: 3.8623 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0165 loss: 1.0165 2022/08/11 05:28:51 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 2.0000e-03 eta: 9:09:30 time: 0.8353 data_time: 0.0173 memory: 19925 grad_norm: 3.7702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0363 loss: 1.0363 2022/08/11 05:29:07 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 2.0000e-03 eta: 9:09:12 time: 0.8343 data_time: 0.0183 memory: 19925 grad_norm: 3.7122 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/08/11 05:29:24 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 2.0000e-03 eta: 9:08:54 time: 0.8359 data_time: 0.0183 memory: 19925 grad_norm: 3.6711 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8809 loss: 0.8809 2022/08/11 05:29:41 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 2.0000e-03 eta: 9:08:37 time: 0.8321 data_time: 0.0172 memory: 19925 grad_norm: 3.8330 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/08/11 05:29:58 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 2.0000e-03 eta: 9:08:19 time: 0.8371 data_time: 0.0179 memory: 19925 grad_norm: 3.8996 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0573 loss: 1.0573 2022/08/11 05:30:14 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 2.0000e-03 eta: 9:08:02 time: 0.8375 data_time: 0.0199 memory: 19925 grad_norm: 3.8230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0187 loss: 1.0187 2022/08/11 05:30:31 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 2.0000e-03 eta: 9:07:44 time: 0.8328 data_time: 0.0185 memory: 19925 grad_norm: 3.7856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/08/11 05:30:48 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 2.0000e-03 eta: 9:07:26 time: 0.8305 data_time: 0.0179 memory: 19925 grad_norm: 3.8422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0414 loss: 1.0414 2022/08/11 05:31:04 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 2.0000e-03 eta: 9:07:09 time: 0.8377 data_time: 0.0177 memory: 19925 grad_norm: 3.8068 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0850 loss: 1.0850 2022/08/11 05:31:21 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 2.0000e-03 eta: 9:06:51 time: 0.8318 data_time: 0.0179 memory: 19925 grad_norm: 3.7453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/08/11 05:31:38 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 2.0000e-03 eta: 9:06:34 time: 0.8356 data_time: 0.0179 memory: 19925 grad_norm: 3.8257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2150 loss: 1.2150 2022/08/11 05:31:54 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 2.0000e-03 eta: 9:06:16 time: 0.8367 data_time: 0.0188 memory: 19925 grad_norm: 3.7881 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9775 loss: 0.9775 2022/08/11 05:32:11 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 2.0000e-03 eta: 9:05:58 time: 0.8324 data_time: 0.0166 memory: 19925 grad_norm: 3.8423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8722 loss: 0.8722 2022/08/11 05:32:28 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 2.0000e-03 eta: 9:05:41 time: 0.8549 data_time: 0.0176 memory: 19925 grad_norm: 3.7740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0212 loss: 1.0212 2022/08/11 05:32:45 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 2.0000e-03 eta: 9:05:24 time: 0.8462 data_time: 0.0169 memory: 19925 grad_norm: 3.8830 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0934 loss: 1.0934 2022/08/11 05:33:02 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 2.0000e-03 eta: 9:05:06 time: 0.8318 data_time: 0.0164 memory: 19925 grad_norm: 3.8315 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/08/11 05:33:19 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 2.0000e-03 eta: 9:04:49 time: 0.8423 data_time: 0.0176 memory: 19925 grad_norm: 3.8425 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0336 loss: 1.0336 2022/08/11 05:33:26 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 05:33:35 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 2.0000e-03 eta: 9:04:31 time: 0.8317 data_time: 0.0186 memory: 19925 grad_norm: 3.9325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1394 loss: 1.1394 2022/08/11 05:33:52 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 2.0000e-03 eta: 9:04:13 time: 0.8327 data_time: 0.0192 memory: 19925 grad_norm: 3.8501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0558 loss: 1.0558 2022/08/11 05:34:09 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 2.0000e-03 eta: 9:03:56 time: 0.8397 data_time: 0.0178 memory: 19925 grad_norm: 3.8738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0600 loss: 1.0600 2022/08/11 05:34:26 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 2.0000e-03 eta: 9:03:38 time: 0.8424 data_time: 0.0187 memory: 19925 grad_norm: 3.8321 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1412 loss: 1.1412 2022/08/11 05:34:43 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 2.0000e-03 eta: 9:03:21 time: 0.8523 data_time: 0.0162 memory: 19925 grad_norm: 3.8339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/11 05:34:59 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 2.0000e-03 eta: 9:03:04 time: 0.8400 data_time: 0.0165 memory: 19925 grad_norm: 3.8443 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9691 loss: 0.9691 2022/08/11 05:35:22 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 2.0000e-03 eta: 9:02:50 time: 1.1040 data_time: 0.0174 memory: 19925 grad_norm: 3.8035 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9462 loss: 0.9462 2022/08/11 05:35:38 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 2.0000e-03 eta: 9:02:32 time: 0.8386 data_time: 0.0179 memory: 19925 grad_norm: 3.8648 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9873 loss: 0.9873 2022/08/11 05:35:55 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 2.0000e-03 eta: 9:02:15 time: 0.8347 data_time: 0.0178 memory: 19925 grad_norm: 3.7778 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9160 loss: 0.9160 2022/08/11 05:36:12 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 2.0000e-03 eta: 9:01:57 time: 0.8508 data_time: 0.0178 memory: 19925 grad_norm: 3.8291 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1016 loss: 1.1016 2022/08/11 05:36:29 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 2.0000e-03 eta: 9:01:40 time: 0.8441 data_time: 0.0168 memory: 19925 grad_norm: 3.8948 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/08/11 05:36:48 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 2.0000e-03 eta: 9:01:24 time: 0.9553 data_time: 0.0166 memory: 19925 grad_norm: 3.7769 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0771 loss: 1.0771 2022/08/11 05:37:05 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 2.0000e-03 eta: 9:01:06 time: 0.8364 data_time: 0.0168 memory: 19925 grad_norm: 3.8492 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0258 loss: 1.0258 2022/08/11 05:37:22 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 2.0000e-03 eta: 9:00:49 time: 0.8413 data_time: 0.0168 memory: 19925 grad_norm: 3.8399 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0250 loss: 1.0250 2022/08/11 05:37:38 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 2.0000e-03 eta: 9:00:31 time: 0.8393 data_time: 0.0172 memory: 19925 grad_norm: 3.8863 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9681 loss: 0.9681 2022/08/11 05:37:57 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 2.0000e-03 eta: 9:00:15 time: 0.9139 data_time: 0.0182 memory: 19925 grad_norm: 3.9297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9714 loss: 0.9714 2022/08/11 05:38:14 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 2.0000e-03 eta: 8:59:57 time: 0.8400 data_time: 0.0175 memory: 19925 grad_norm: 3.7985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0962 loss: 1.0962 2022/08/11 05:38:30 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 2.0000e-03 eta: 8:59:40 time: 0.8385 data_time: 0.0177 memory: 19925 grad_norm: 3.9057 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8796 loss: 0.8796 2022/08/11 05:38:46 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 05:38:46 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 2.0000e-03 eta: 8:59:40 time: 0.8077 data_time: 0.0166 memory: 19925 grad_norm: 3.8501 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.9669 loss: 0.9669 2022/08/11 05:38:46 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/11 05:39:00 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:01:26 time: 0.6379 data_time: 0.4045 memory: 2570 2022/08/11 05:39:15 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:01:22 time: 0.7158 data_time: 0.4841 memory: 2570 2022/08/11 05:39:24 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:42 time: 0.4478 data_time: 0.2159 memory: 2570 2022/08/11 05:39:40 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:01:02 time: 0.8382 data_time: 0.6072 memory: 2570 2022/08/11 05:39:53 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:33 time: 0.6070 data_time: 0.3778 memory: 2570 2022/08/11 05:40:08 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:26 time: 0.7695 data_time: 0.5398 memory: 2570 2022/08/11 05:40:20 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:08 time: 0.5970 data_time: 0.3675 memory: 2570 2022/08/11 05:40:37 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.7028 acc/top5: 0.8995 acc/mean1: 0.7027 2022/08/11 05:41:01 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 2.0000e-03 eta: 8:58:59 time: 1.1728 data_time: 0.1976 memory: 19925 grad_norm: 3.7193 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0335 loss: 1.0335 2022/08/11 05:41:18 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 2.0000e-03 eta: 8:58:42 time: 0.8374 data_time: 0.0177 memory: 19925 grad_norm: 3.8115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0128 loss: 1.0128 2022/08/11 05:41:34 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 2.0000e-03 eta: 8:58:24 time: 0.8363 data_time: 0.0179 memory: 19925 grad_norm: 3.7587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0580 loss: 1.0580 2022/08/11 05:41:51 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 2.0000e-03 eta: 8:58:07 time: 0.8442 data_time: 0.0166 memory: 19925 grad_norm: 3.7882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/08/11 05:42:08 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 2.0000e-03 eta: 8:57:49 time: 0.8321 data_time: 0.0170 memory: 19925 grad_norm: 3.8211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9255 loss: 0.9255 2022/08/11 05:42:25 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 2.0000e-03 eta: 8:57:32 time: 0.8353 data_time: 0.0175 memory: 19925 grad_norm: 3.8006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/08/11 05:42:41 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 2.0000e-03 eta: 8:57:14 time: 0.8409 data_time: 0.0175 memory: 19925 grad_norm: 3.8336 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1287 loss: 1.1287 2022/08/11 05:42:58 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 2.0000e-03 eta: 8:56:57 time: 0.8335 data_time: 0.0179 memory: 19925 grad_norm: 3.8527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1360 loss: 1.1360 2022/08/11 05:43:15 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 2.0000e-03 eta: 8:56:39 time: 0.8342 data_time: 0.0172 memory: 19925 grad_norm: 3.7900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9730 loss: 0.9730 2022/08/11 05:43:31 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 2.0000e-03 eta: 8:56:21 time: 0.8364 data_time: 0.0179 memory: 19925 grad_norm: 3.7036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/08/11 05:43:48 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 2.0000e-03 eta: 8:56:04 time: 0.8359 data_time: 0.0178 memory: 19925 grad_norm: 3.8196 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9286 loss: 0.9286 2022/08/11 05:44:05 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 2.0000e-03 eta: 8:55:46 time: 0.8374 data_time: 0.0182 memory: 19925 grad_norm: 3.8142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9047 loss: 0.9047 2022/08/11 05:44:22 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 2.0000e-03 eta: 8:55:29 time: 0.8374 data_time: 0.0179 memory: 19925 grad_norm: 3.8441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/08/11 05:44:38 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 2.0000e-03 eta: 8:55:11 time: 0.8360 data_time: 0.0193 memory: 19925 grad_norm: 3.7828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0817 loss: 1.0817 2022/08/11 05:44:55 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 2.0000e-03 eta: 8:54:54 time: 0.8348 data_time: 0.0175 memory: 19925 grad_norm: 3.7590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1294 loss: 1.1294 2022/08/11 05:45:12 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 2.0000e-03 eta: 8:54:36 time: 0.8477 data_time: 0.0185 memory: 19925 grad_norm: 3.8268 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9256 loss: 0.9256 2022/08/11 05:45:29 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 2.0000e-03 eta: 8:54:19 time: 0.8450 data_time: 0.0175 memory: 19925 grad_norm: 3.7862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0971 loss: 1.0971 2022/08/11 05:45:46 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 2.0000e-03 eta: 8:54:01 time: 0.8373 data_time: 0.0186 memory: 19925 grad_norm: 3.7722 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/08/11 05:46:03 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 2.0000e-03 eta: 8:53:44 time: 0.8396 data_time: 0.0179 memory: 19925 grad_norm: 3.8585 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8840 loss: 0.8840 2022/08/11 05:46:19 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 2.0000e-03 eta: 8:53:26 time: 0.8392 data_time: 0.0180 memory: 19925 grad_norm: 3.8547 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0903 loss: 1.0903 2022/08/11 05:46:36 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 2.0000e-03 eta: 8:53:09 time: 0.8311 data_time: 0.0166 memory: 19925 grad_norm: 3.7737 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9631 loss: 0.9631 2022/08/11 05:46:53 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 2.0000e-03 eta: 8:52:51 time: 0.8401 data_time: 0.0183 memory: 19925 grad_norm: 3.8757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/08/11 05:47:09 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 2.0000e-03 eta: 8:52:34 time: 0.8343 data_time: 0.0175 memory: 19925 grad_norm: 3.8781 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9791 loss: 0.9791 2022/08/11 05:47:26 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 2.0000e-03 eta: 8:52:16 time: 0.8306 data_time: 0.0175 memory: 19925 grad_norm: 3.8304 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2001 loss: 1.2001 2022/08/11 05:47:43 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 2.0000e-03 eta: 8:51:58 time: 0.8334 data_time: 0.0165 memory: 19925 grad_norm: 3.8248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9233 loss: 0.9233 2022/08/11 05:48:01 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 2.0000e-03 eta: 8:51:42 time: 0.8886 data_time: 0.0184 memory: 19925 grad_norm: 3.8876 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/11 05:48:17 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 2.0000e-03 eta: 8:51:24 time: 0.8436 data_time: 0.0175 memory: 19925 grad_norm: 3.9179 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9843 loss: 0.9843 2022/08/11 05:48:34 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 2.0000e-03 eta: 8:51:07 time: 0.8349 data_time: 0.0166 memory: 19925 grad_norm: 4.0440 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/08/11 05:48:51 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 2.0000e-03 eta: 8:50:49 time: 0.8334 data_time: 0.0177 memory: 19925 grad_norm: 3.9363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9817 loss: 0.9817 2022/08/11 05:49:07 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 2.0000e-03 eta: 8:50:31 time: 0.8327 data_time: 0.0188 memory: 19925 grad_norm: 3.8120 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9889 loss: 0.9889 2022/08/11 05:49:24 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 2.0000e-03 eta: 8:50:14 time: 0.8324 data_time: 0.0176 memory: 19925 grad_norm: 3.8663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9300 loss: 0.9300 2022/08/11 05:49:33 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 05:49:41 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 2.0000e-03 eta: 8:49:56 time: 0.8394 data_time: 0.0176 memory: 19925 grad_norm: 3.9169 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0212 loss: 1.0212 2022/08/11 05:49:58 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 2.0000e-03 eta: 8:49:39 time: 0.8338 data_time: 0.0177 memory: 19925 grad_norm: 3.8160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/08/11 05:50:15 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 2.0000e-03 eta: 8:49:22 time: 0.8873 data_time: 0.0270 memory: 19925 grad_norm: 3.7908 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/08/11 05:50:32 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 2.0000e-03 eta: 8:49:04 time: 0.8386 data_time: 0.0196 memory: 19925 grad_norm: 3.9048 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9576 loss: 0.9576 2022/08/11 05:50:49 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 2.0000e-03 eta: 8:48:47 time: 0.8297 data_time: 0.0178 memory: 19925 grad_norm: 4.0065 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9283 loss: 0.9283 2022/08/11 05:51:05 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 2.0000e-03 eta: 8:48:29 time: 0.8356 data_time: 0.0194 memory: 19925 grad_norm: 3.7298 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8188 loss: 0.8188 2022/08/11 05:51:22 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 2.0000e-03 eta: 8:48:12 time: 0.8310 data_time: 0.0204 memory: 19925 grad_norm: 3.8507 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0403 loss: 1.0403 2022/08/11 05:51:39 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 2.0000e-03 eta: 8:47:54 time: 0.8280 data_time: 0.0183 memory: 19925 grad_norm: 3.8620 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9683 loss: 0.9683 2022/08/11 05:51:55 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 2.0000e-03 eta: 8:47:37 time: 0.8355 data_time: 0.0181 memory: 19925 grad_norm: 3.9265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1090 loss: 1.1090 2022/08/11 05:52:12 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 2.0000e-03 eta: 8:47:19 time: 0.8306 data_time: 0.0176 memory: 19925 grad_norm: 3.7864 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9409 loss: 0.9409 2022/08/11 05:52:29 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 2.0000e-03 eta: 8:47:01 time: 0.8420 data_time: 0.0172 memory: 19925 grad_norm: 3.8545 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9030 loss: 0.9030 2022/08/11 05:52:46 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 2.0000e-03 eta: 8:46:44 time: 0.8338 data_time: 0.0191 memory: 19925 grad_norm: 3.7721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/11 05:53:02 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 2.0000e-03 eta: 8:46:26 time: 0.8373 data_time: 0.0188 memory: 19925 grad_norm: 3.7353 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0633 loss: 1.0633 2022/08/11 05:53:19 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 2.0000e-03 eta: 8:46:09 time: 0.8350 data_time: 0.0179 memory: 19925 grad_norm: 3.8132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9872 loss: 0.9872 2022/08/11 05:53:36 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 2.0000e-03 eta: 8:45:51 time: 0.8357 data_time: 0.0170 memory: 19925 grad_norm: 3.9131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/11 05:53:52 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 2.0000e-03 eta: 8:45:34 time: 0.8318 data_time: 0.0195 memory: 19925 grad_norm: 3.7476 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/08/11 05:54:09 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 2.0000e-03 eta: 8:45:16 time: 0.8345 data_time: 0.0176 memory: 19925 grad_norm: 3.9659 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/08/11 05:54:26 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 2.0000e-03 eta: 8:44:59 time: 0.8338 data_time: 0.0175 memory: 19925 grad_norm: 3.8157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9448 loss: 0.9448 2022/08/11 05:54:42 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 2.0000e-03 eta: 8:44:41 time: 0.8312 data_time: 0.0179 memory: 19925 grad_norm: 3.7732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8381 loss: 0.8381 2022/08/11 05:54:59 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 2.0000e-03 eta: 8:44:24 time: 0.8378 data_time: 0.0184 memory: 19925 grad_norm: 3.6871 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9646 loss: 0.9646 2022/08/11 05:55:16 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 2.0000e-03 eta: 8:44:06 time: 0.8627 data_time: 0.0195 memory: 19925 grad_norm: 3.7313 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9847 loss: 0.9847 2022/08/11 05:55:33 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 2.0000e-03 eta: 8:43:49 time: 0.8378 data_time: 0.0173 memory: 19925 grad_norm: 3.8916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/08/11 05:55:50 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 2.0000e-03 eta: 8:43:31 time: 0.8305 data_time: 0.0181 memory: 19925 grad_norm: 3.7015 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/11 05:56:07 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 2.0000e-03 eta: 8:43:14 time: 0.8437 data_time: 0.0199 memory: 19925 grad_norm: 3.7830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8804 loss: 0.8804 2022/08/11 05:56:24 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 2.0000e-03 eta: 8:42:56 time: 0.8471 data_time: 0.0176 memory: 19925 grad_norm: 3.8335 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/11 05:56:40 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 2.0000e-03 eta: 8:42:39 time: 0.8368 data_time: 0.0178 memory: 19925 grad_norm: 3.9517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/08/11 05:56:57 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 2.0000e-03 eta: 8:42:21 time: 0.8382 data_time: 0.0176 memory: 19925 grad_norm: 3.8470 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0046 loss: 1.0046 2022/08/11 05:57:14 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 2.0000e-03 eta: 8:42:04 time: 0.8420 data_time: 0.0187 memory: 19925 grad_norm: 3.7940 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9612 loss: 0.9612 2022/08/11 05:57:31 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 2.0000e-03 eta: 8:41:47 time: 0.8379 data_time: 0.0155 memory: 19925 grad_norm: 3.8488 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/11 05:57:47 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 2.0000e-03 eta: 8:41:29 time: 0.8383 data_time: 0.0182 memory: 19925 grad_norm: 3.8255 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9738 loss: 0.9738 2022/08/11 05:58:06 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 2.0000e-03 eta: 8:41:13 time: 0.9409 data_time: 0.0166 memory: 19925 grad_norm: 3.8081 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0250 loss: 1.0250 2022/08/11 05:58:23 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 2.0000e-03 eta: 8:40:55 time: 0.8410 data_time: 0.0174 memory: 19925 grad_norm: 3.8254 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/11 05:58:40 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 2.0000e-03 eta: 8:40:38 time: 0.8421 data_time: 0.0180 memory: 19925 grad_norm: 3.9075 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0510 loss: 1.0510 2022/08/11 05:58:57 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 2.0000e-03 eta: 8:40:20 time: 0.8404 data_time: 0.0179 memory: 19925 grad_norm: 3.9827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1339 loss: 1.1339 2022/08/11 05:59:14 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 2.0000e-03 eta: 8:40:03 time: 0.8412 data_time: 0.0161 memory: 19925 grad_norm: 3.9022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1042 loss: 1.1042 2022/08/11 05:59:30 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 2.0000e-03 eta: 8:39:46 time: 0.8367 data_time: 0.0176 memory: 19925 grad_norm: 3.7813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/08/11 05:59:47 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 2.0000e-03 eta: 8:39:28 time: 0.8358 data_time: 0.0173 memory: 19925 grad_norm: 4.0130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9661 loss: 0.9661 2022/08/11 06:00:05 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 2.0000e-03 eta: 8:39:11 time: 0.8765 data_time: 0.0227 memory: 19925 grad_norm: 3.8955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9931 loss: 0.9931 2022/08/11 06:00:22 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 2.0000e-03 eta: 8:38:54 time: 0.8470 data_time: 0.0248 memory: 19925 grad_norm: 3.8307 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9354 loss: 0.9354 2022/08/11 06:00:38 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 2.0000e-03 eta: 8:38:36 time: 0.8386 data_time: 0.0169 memory: 19925 grad_norm: 3.8768 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1192 loss: 1.1192 2022/08/11 06:00:55 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 2.0000e-03 eta: 8:38:19 time: 0.8369 data_time: 0.0170 memory: 19925 grad_norm: 3.7490 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9462 loss: 0.9462 2022/08/11 06:01:12 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 2.0000e-03 eta: 8:38:01 time: 0.8351 data_time: 0.0168 memory: 19925 grad_norm: 3.9491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1503 loss: 1.1503 2022/08/11 06:01:29 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 2.0000e-03 eta: 8:37:44 time: 0.8377 data_time: 0.0181 memory: 19925 grad_norm: 3.9322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1500 loss: 1.1500 2022/08/11 06:01:47 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 2.0000e-03 eta: 8:37:27 time: 0.8977 data_time: 0.0197 memory: 19925 grad_norm: 3.9633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/11 06:02:03 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 2.0000e-03 eta: 8:37:09 time: 0.8338 data_time: 0.0190 memory: 19925 grad_norm: 3.9388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1127 loss: 1.1127 2022/08/11 06:02:20 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 2.0000e-03 eta: 8:36:52 time: 0.8342 data_time: 0.0147 memory: 19925 grad_norm: 3.8561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0157 loss: 1.0157 2022/08/11 06:02:37 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 2.0000e-03 eta: 8:36:34 time: 0.8383 data_time: 0.0180 memory: 19925 grad_norm: 3.8226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/08/11 06:02:53 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 2.0000e-03 eta: 8:36:17 time: 0.8362 data_time: 0.0184 memory: 19925 grad_norm: 3.8871 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/11 06:03:10 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 2.0000e-03 eta: 8:35:59 time: 0.8357 data_time: 0.0180 memory: 19925 grad_norm: 3.8868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9338 loss: 0.9338 2022/08/11 06:03:27 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 2.0000e-03 eta: 8:35:42 time: 0.8374 data_time: 0.0174 memory: 19925 grad_norm: 3.9185 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0209 loss: 1.0209 2022/08/11 06:03:35 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 06:03:44 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 2.0000e-03 eta: 8:35:24 time: 0.8341 data_time: 0.0169 memory: 19925 grad_norm: 3.7947 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/08/11 06:04:00 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 2.0000e-03 eta: 8:35:07 time: 0.8318 data_time: 0.0172 memory: 19925 grad_norm: 3.8317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/08/11 06:04:17 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 2.0000e-03 eta: 8:34:49 time: 0.8370 data_time: 0.0182 memory: 19925 grad_norm: 3.9047 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9603 loss: 0.9603 2022/08/11 06:04:35 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 2.0000e-03 eta: 8:34:33 time: 0.9262 data_time: 0.0173 memory: 19925 grad_norm: 3.9372 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1616 loss: 1.1616 2022/08/11 06:04:52 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 2.0000e-03 eta: 8:34:15 time: 0.8341 data_time: 0.0180 memory: 19925 grad_norm: 3.9178 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9923 loss: 0.9923 2022/08/11 06:05:19 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 2.0000e-03 eta: 8:34:04 time: 1.3531 data_time: 0.0165 memory: 19925 grad_norm: 3.8814 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0343 loss: 1.0343 2022/08/11 06:05:36 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 2.0000e-03 eta: 8:33:47 time: 0.8401 data_time: 0.0226 memory: 19925 grad_norm: 3.9629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/08/11 06:05:53 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 2.0000e-03 eta: 8:33:29 time: 0.8400 data_time: 0.0199 memory: 19925 grad_norm: 3.8598 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0295 loss: 1.0295 2022/08/11 06:06:10 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 2.0000e-03 eta: 8:33:12 time: 0.8409 data_time: 0.0160 memory: 19925 grad_norm: 3.8698 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/08/11 06:06:28 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 2.0000e-03 eta: 8:32:55 time: 0.9018 data_time: 0.0177 memory: 19925 grad_norm: 3.9169 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9414 loss: 0.9414 2022/08/11 06:06:47 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 2.0000e-03 eta: 8:32:39 time: 0.9780 data_time: 0.0187 memory: 19925 grad_norm: 3.9709 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/11 06:07:06 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 2.0000e-03 eta: 8:32:23 time: 0.9387 data_time: 0.0156 memory: 19925 grad_norm: 3.7828 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1612 loss: 1.1612 2022/08/11 06:07:22 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 06:07:22 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 2.0000e-03 eta: 8:32:23 time: 0.8150 data_time: 0.0204 memory: 19925 grad_norm: 3.9930 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0032 loss: 1.0032 2022/08/11 06:07:34 - mmengine - INFO - Epoch(val) [31][20/155] eta: 0:01:23 time: 0.6211 data_time: 0.3868 memory: 2570 2022/08/11 06:07:44 - mmengine - INFO - Epoch(val) [31][40/155] eta: 0:00:58 time: 0.5090 data_time: 0.2788 memory: 2570 2022/08/11 06:08:04 - mmengine - INFO - Epoch(val) [31][60/155] eta: 0:01:33 time: 0.9876 data_time: 0.7576 memory: 2570 2022/08/11 06:08:14 - mmengine - INFO - Epoch(val) [31][80/155] eta: 0:00:37 time: 0.4999 data_time: 0.2707 memory: 2570 2022/08/11 06:08:25 - mmengine - INFO - Epoch(val) [31][100/155] eta: 0:00:31 time: 0.5715 data_time: 0.3424 memory: 2570 2022/08/11 06:08:39 - mmengine - INFO - Epoch(val) [31][120/155] eta: 0:00:23 time: 0.6743 data_time: 0.4406 memory: 2570 2022/08/11 06:08:51 - mmengine - INFO - Epoch(val) [31][140/155] eta: 0:00:08 time: 0.5946 data_time: 0.3654 memory: 2570 2022/08/11 06:09:17 - mmengine - INFO - Epoch(val) [31][155/155] acc/top1: 0.7068 acc/top5: 0.8990 acc/mean1: 0.7068 2022/08/11 06:09:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_30.pth is removed 2022/08/11 06:09:19 - mmengine - INFO - The best checkpoint with 0.7068 acc/top1 at 32 epoch is saved to best_acc/top1_epoch_32.pth. 2022/08/11 06:09:45 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 2.0000e-03 eta: 8:31:45 time: 1.2918 data_time: 0.3718 memory: 19925 grad_norm: 3.6630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0529 loss: 1.0529 2022/08/11 06:10:04 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 2.0000e-03 eta: 8:31:28 time: 0.9461 data_time: 0.1262 memory: 19925 grad_norm: 3.8405 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9254 loss: 0.9254 2022/08/11 06:10:22 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 2.0000e-03 eta: 8:31:12 time: 0.8899 data_time: 0.0754 memory: 19925 grad_norm: 3.7246 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8085 loss: 0.8085 2022/08/11 06:10:38 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 2.0000e-03 eta: 8:30:54 time: 0.8354 data_time: 0.0195 memory: 19925 grad_norm: 3.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9269 loss: 0.9269 2022/08/11 06:11:01 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 2.0000e-03 eta: 8:30:40 time: 1.1343 data_time: 0.0163 memory: 19925 grad_norm: 3.8206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8966 loss: 0.8966 2022/08/11 06:11:18 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 2.0000e-03 eta: 8:30:23 time: 0.8436 data_time: 0.0159 memory: 19925 grad_norm: 3.8682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0091 loss: 1.0091 2022/08/11 06:11:35 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 2.0000e-03 eta: 8:30:05 time: 0.8384 data_time: 0.0173 memory: 19925 grad_norm: 3.9356 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/08/11 06:11:52 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 2.0000e-03 eta: 8:29:48 time: 0.8412 data_time: 0.0180 memory: 19925 grad_norm: 3.8878 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7243 loss: 0.7243 2022/08/11 06:12:08 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 2.0000e-03 eta: 8:29:30 time: 0.8401 data_time: 0.0157 memory: 19925 grad_norm: 3.9308 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/08/11 06:12:25 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 2.0000e-03 eta: 8:29:13 time: 0.8337 data_time: 0.0180 memory: 19925 grad_norm: 3.9396 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/08/11 06:12:42 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 2.0000e-03 eta: 8:28:55 time: 0.8289 data_time: 0.0175 memory: 19925 grad_norm: 3.7926 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9881 loss: 0.9881 2022/08/11 06:12:58 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 2.0000e-03 eta: 8:28:38 time: 0.8345 data_time: 0.0187 memory: 19925 grad_norm: 3.8815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/08/11 06:13:15 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 2.0000e-03 eta: 8:28:20 time: 0.8329 data_time: 0.0179 memory: 19925 grad_norm: 3.9333 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0501 loss: 1.0501 2022/08/11 06:13:32 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 2.0000e-03 eta: 8:28:03 time: 0.8340 data_time: 0.0170 memory: 19925 grad_norm: 3.9597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/11 06:13:48 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 2.0000e-03 eta: 8:27:45 time: 0.8343 data_time: 0.0186 memory: 19925 grad_norm: 3.8540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9643 loss: 0.9643 2022/08/11 06:14:05 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 2.0000e-03 eta: 8:27:28 time: 0.8434 data_time: 0.0191 memory: 19925 grad_norm: 3.8884 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1861 loss: 1.1861 2022/08/11 06:14:22 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 2.0000e-03 eta: 8:27:10 time: 0.8483 data_time: 0.0170 memory: 19925 grad_norm: 3.7972 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8903 loss: 0.8903 2022/08/11 06:14:39 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 2.0000e-03 eta: 8:26:53 time: 0.8428 data_time: 0.0191 memory: 19925 grad_norm: 4.0288 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0609 loss: 1.0609 2022/08/11 06:14:56 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 2.0000e-03 eta: 8:26:35 time: 0.8329 data_time: 0.0185 memory: 19925 grad_norm: 3.8325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9620 loss: 0.9620 2022/08/11 06:15:13 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 2.0000e-03 eta: 8:26:18 time: 0.8397 data_time: 0.0186 memory: 19925 grad_norm: 3.9110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9769 loss: 0.9769 2022/08/11 06:15:29 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 2.0000e-03 eta: 8:26:01 time: 0.8423 data_time: 0.0177 memory: 19925 grad_norm: 3.9076 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0643 loss: 1.0643 2022/08/11 06:15:46 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 2.0000e-03 eta: 8:25:43 time: 0.8351 data_time: 0.0166 memory: 19925 grad_norm: 3.8364 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9046 loss: 0.9046 2022/08/11 06:16:03 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 2.0000e-03 eta: 8:25:26 time: 0.8384 data_time: 0.0174 memory: 19925 grad_norm: 3.7802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8710 loss: 0.8710 2022/08/11 06:16:20 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 2.0000e-03 eta: 8:25:08 time: 0.8386 data_time: 0.0171 memory: 19925 grad_norm: 3.9130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/08/11 06:16:37 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 2.0000e-03 eta: 8:24:51 time: 0.8445 data_time: 0.0202 memory: 19925 grad_norm: 3.8991 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/11 06:16:53 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 2.0000e-03 eta: 8:24:33 time: 0.8336 data_time: 0.0179 memory: 19925 grad_norm: 3.9382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/08/11 06:17:10 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 2.0000e-03 eta: 8:24:16 time: 0.8301 data_time: 0.0186 memory: 19925 grad_norm: 3.9513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1470 loss: 1.1470 2022/08/11 06:17:26 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 2.0000e-03 eta: 8:23:58 time: 0.8313 data_time: 0.0183 memory: 19925 grad_norm: 3.9784 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0690 loss: 1.0690 2022/08/11 06:17:43 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 2.0000e-03 eta: 8:23:40 time: 0.8312 data_time: 0.0170 memory: 19925 grad_norm: 3.8624 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9538 loss: 0.9538 2022/08/11 06:18:01 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 2.0000e-03 eta: 8:23:24 time: 0.8859 data_time: 0.0407 memory: 19925 grad_norm: 3.9898 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1141 loss: 1.1141 2022/08/11 06:18:17 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 2.0000e-03 eta: 8:23:06 time: 0.8309 data_time: 0.0184 memory: 19925 grad_norm: 3.9508 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1992 loss: 1.1992 2022/08/11 06:18:34 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 2.0000e-03 eta: 8:22:48 time: 0.8332 data_time: 0.0188 memory: 19925 grad_norm: 3.8528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9958 loss: 0.9958 2022/08/11 06:18:51 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 2.0000e-03 eta: 8:22:31 time: 0.8411 data_time: 0.0173 memory: 19925 grad_norm: 3.9088 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1452 loss: 1.1452 2022/08/11 06:19:08 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 2.0000e-03 eta: 8:22:14 time: 0.8438 data_time: 0.0178 memory: 19925 grad_norm: 3.8737 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9673 loss: 0.9673 2022/08/11 06:19:25 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 2.0000e-03 eta: 8:21:56 time: 0.8375 data_time: 0.0174 memory: 19925 grad_norm: 3.8239 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0800 loss: 1.0800 2022/08/11 06:19:41 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 2.0000e-03 eta: 8:21:39 time: 0.8423 data_time: 0.0171 memory: 19925 grad_norm: 3.8800 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0092 loss: 1.0092 2022/08/11 06:19:58 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 2.0000e-03 eta: 8:21:21 time: 0.8424 data_time: 0.0163 memory: 19925 grad_norm: 3.9405 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9230 loss: 0.9230 2022/08/11 06:20:08 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 06:20:15 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 2.0000e-03 eta: 8:21:04 time: 0.8466 data_time: 0.0194 memory: 19925 grad_norm: 3.9478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0641 loss: 1.0641 2022/08/11 06:20:32 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 2.0000e-03 eta: 8:20:46 time: 0.8417 data_time: 0.0181 memory: 19925 grad_norm: 3.8925 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/11 06:20:52 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 2.0000e-03 eta: 8:20:31 time: 1.0020 data_time: 0.0188 memory: 19925 grad_norm: 3.9484 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9457 loss: 0.9457 2022/08/11 06:21:09 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 2.0000e-03 eta: 8:20:14 time: 0.8548 data_time: 0.0197 memory: 19925 grad_norm: 3.9237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8961 loss: 0.8961 2022/08/11 06:21:27 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 2.0000e-03 eta: 8:19:57 time: 0.9107 data_time: 0.0189 memory: 19925 grad_norm: 3.9382 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9593 loss: 0.9593 2022/08/11 06:21:45 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 2.0000e-03 eta: 8:19:40 time: 0.8650 data_time: 0.0172 memory: 19925 grad_norm: 3.8654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9433 loss: 0.9433 2022/08/11 06:22:02 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 2.0000e-03 eta: 8:19:22 time: 0.8437 data_time: 0.0173 memory: 19925 grad_norm: 3.7044 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8614 loss: 0.8614 2022/08/11 06:22:18 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 2.0000e-03 eta: 8:19:05 time: 0.8367 data_time: 0.0175 memory: 19925 grad_norm: 3.9857 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/08/11 06:22:35 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 2.0000e-03 eta: 8:18:47 time: 0.8387 data_time: 0.0160 memory: 19925 grad_norm: 3.8346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1304 loss: 1.1304 2022/08/11 06:22:52 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 2.0000e-03 eta: 8:18:30 time: 0.8377 data_time: 0.0174 memory: 19925 grad_norm: 3.9066 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8235 loss: 0.8235 2022/08/11 06:23:09 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 2.0000e-03 eta: 8:18:13 time: 0.8410 data_time: 0.0182 memory: 19925 grad_norm: 3.9235 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/11 06:23:25 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 2.0000e-03 eta: 8:17:55 time: 0.8335 data_time: 0.0170 memory: 19925 grad_norm: 3.9791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0081 loss: 1.0081 2022/08/11 06:23:42 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 2.0000e-03 eta: 8:17:37 time: 0.8295 data_time: 0.0176 memory: 19925 grad_norm: 3.8770 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/11 06:23:59 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 2.0000e-03 eta: 8:17:20 time: 0.8315 data_time: 0.0175 memory: 19925 grad_norm: 3.9480 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/08/11 06:24:15 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 2.0000e-03 eta: 8:17:02 time: 0.8309 data_time: 0.0189 memory: 19925 grad_norm: 3.8373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0082 loss: 1.0082 2022/08/11 06:24:32 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 2.0000e-03 eta: 8:16:45 time: 0.8302 data_time: 0.0181 memory: 19925 grad_norm: 3.8497 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/08/11 06:24:49 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 2.0000e-03 eta: 8:16:27 time: 0.8372 data_time: 0.0179 memory: 19925 grad_norm: 3.8411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9343 loss: 0.9343 2022/08/11 06:25:06 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 2.0000e-03 eta: 8:16:10 time: 0.8436 data_time: 0.0173 memory: 19925 grad_norm: 3.8766 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0530 loss: 1.0530 2022/08/11 06:25:23 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 2.0000e-03 eta: 8:15:53 time: 0.8676 data_time: 0.0513 memory: 19925 grad_norm: 3.8212 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/08/11 06:25:40 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 2.0000e-03 eta: 8:15:35 time: 0.8340 data_time: 0.0198 memory: 19925 grad_norm: 3.7845 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8740 loss: 0.8740 2022/08/11 06:25:56 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 2.0000e-03 eta: 8:15:18 time: 0.8353 data_time: 0.0171 memory: 19925 grad_norm: 3.7066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/08/11 06:26:13 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 2.0000e-03 eta: 8:15:00 time: 0.8376 data_time: 0.0174 memory: 19925 grad_norm: 4.0807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9901 loss: 0.9901 2022/08/11 06:26:30 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 2.0000e-03 eta: 8:14:43 time: 0.8350 data_time: 0.0195 memory: 19925 grad_norm: 3.7967 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9185 loss: 0.9185 2022/08/11 06:26:46 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 2.0000e-03 eta: 8:14:25 time: 0.8345 data_time: 0.0184 memory: 19925 grad_norm: 3.9363 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1218 loss: 1.1218 2022/08/11 06:27:03 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 2.0000e-03 eta: 8:14:08 time: 0.8362 data_time: 0.0184 memory: 19925 grad_norm: 3.8371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/11 06:27:20 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 2.0000e-03 eta: 8:13:50 time: 0.8371 data_time: 0.0187 memory: 19925 grad_norm: 3.9139 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0638 loss: 1.0638 2022/08/11 06:27:37 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 2.0000e-03 eta: 8:13:33 time: 0.8332 data_time: 0.0173 memory: 19925 grad_norm: 3.7837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9476 loss: 0.9476 2022/08/11 06:27:55 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 2.0000e-03 eta: 8:13:16 time: 0.9197 data_time: 0.0184 memory: 19925 grad_norm: 3.9227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0691 loss: 1.0691 2022/08/11 06:28:12 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 2.0000e-03 eta: 8:12:59 time: 0.8323 data_time: 0.0191 memory: 19925 grad_norm: 3.9508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/11 06:28:28 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 2.0000e-03 eta: 8:12:41 time: 0.8315 data_time: 0.0182 memory: 19925 grad_norm: 3.9760 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9938 loss: 0.9938 2022/08/11 06:28:45 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 2.0000e-03 eta: 8:12:24 time: 0.8301 data_time: 0.0184 memory: 19925 grad_norm: 3.8757 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1717 loss: 1.1717 2022/08/11 06:29:02 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 2.0000e-03 eta: 8:12:06 time: 0.8338 data_time: 0.0181 memory: 19925 grad_norm: 3.8864 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9796 loss: 0.9796 2022/08/11 06:29:18 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 2.0000e-03 eta: 8:11:49 time: 0.8334 data_time: 0.0183 memory: 19925 grad_norm: 3.9778 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0626 loss: 1.0626 2022/08/11 06:29:35 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 2.0000e-03 eta: 8:11:31 time: 0.8364 data_time: 0.0169 memory: 19925 grad_norm: 3.9843 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/08/11 06:29:52 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 2.0000e-03 eta: 8:11:14 time: 0.8364 data_time: 0.0179 memory: 19925 grad_norm: 3.8685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/08/11 06:30:09 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 2.0000e-03 eta: 8:10:56 time: 0.8497 data_time: 0.0193 memory: 19925 grad_norm: 3.8230 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/11 06:30:26 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 2.0000e-03 eta: 8:10:39 time: 0.8414 data_time: 0.0195 memory: 19925 grad_norm: 3.9696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0706 loss: 1.0706 2022/08/11 06:30:43 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 2.0000e-03 eta: 8:10:22 time: 0.8479 data_time: 0.0184 memory: 19925 grad_norm: 4.0134 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9326 loss: 0.9326 2022/08/11 06:30:59 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 2.0000e-03 eta: 8:10:04 time: 0.8382 data_time: 0.0179 memory: 19925 grad_norm: 4.0588 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0594 loss: 1.0594 2022/08/11 06:31:16 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 2.0000e-03 eta: 8:09:47 time: 0.8397 data_time: 0.0172 memory: 19925 grad_norm: 4.0067 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0730 loss: 1.0730 2022/08/11 06:31:33 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 2.0000e-03 eta: 8:09:29 time: 0.8296 data_time: 0.0180 memory: 19925 grad_norm: 3.8015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0068 loss: 1.0068 2022/08/11 06:31:49 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 2.0000e-03 eta: 8:09:12 time: 0.8320 data_time: 0.0190 memory: 19925 grad_norm: 3.9236 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9581 loss: 0.9581 2022/08/11 06:32:06 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 2.0000e-03 eta: 8:08:54 time: 0.8388 data_time: 0.0178 memory: 19925 grad_norm: 3.9381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8622 loss: 0.8622 2022/08/11 06:32:23 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 2.0000e-03 eta: 8:08:37 time: 0.8419 data_time: 0.0171 memory: 19925 grad_norm: 4.0077 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0286 loss: 1.0286 2022/08/11 06:32:43 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 2.0000e-03 eta: 8:08:21 time: 1.0048 data_time: 0.0177 memory: 19925 grad_norm: 3.8574 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/08/11 06:33:00 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 2.0000e-03 eta: 8:08:04 time: 0.8306 data_time: 0.0181 memory: 19925 grad_norm: 3.8846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8335 loss: 0.8335 2022/08/11 06:33:16 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 2.0000e-03 eta: 8:07:46 time: 0.8310 data_time: 0.0178 memory: 19925 grad_norm: 3.8879 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/11 06:33:33 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 2.0000e-03 eta: 8:07:29 time: 0.8304 data_time: 0.0185 memory: 19925 grad_norm: 3.8648 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0286 loss: 1.0286 2022/08/11 06:33:50 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 2.0000e-03 eta: 8:07:11 time: 0.8347 data_time: 0.0185 memory: 19925 grad_norm: 3.8449 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/08/11 06:34:06 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 2.0000e-03 eta: 8:06:54 time: 0.8323 data_time: 0.0176 memory: 19925 grad_norm: 3.9539 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0785 loss: 1.0785 2022/08/11 06:34:15 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 06:34:23 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 2.0000e-03 eta: 8:06:36 time: 0.8329 data_time: 0.0187 memory: 19925 grad_norm: 3.8922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0387 loss: 1.0387 2022/08/11 06:34:40 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 2.0000e-03 eta: 8:06:19 time: 0.8378 data_time: 0.0197 memory: 19925 grad_norm: 3.8422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8173 loss: 0.8173 2022/08/11 06:34:57 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 2.0000e-03 eta: 8:06:01 time: 0.8402 data_time: 0.0185 memory: 19925 grad_norm: 3.9769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8555 loss: 0.8555 2022/08/11 06:35:13 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 2.0000e-03 eta: 8:05:44 time: 0.8451 data_time: 0.0197 memory: 19925 grad_norm: 3.9963 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0186 loss: 1.0186 2022/08/11 06:35:30 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 2.0000e-03 eta: 8:05:26 time: 0.8419 data_time: 0.0179 memory: 19925 grad_norm: 3.9338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/11 06:35:47 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 2.0000e-03 eta: 8:05:09 time: 0.8390 data_time: 0.0184 memory: 19925 grad_norm: 3.8375 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9200 loss: 0.9200 2022/08/11 06:36:05 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 06:36:05 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 2.0000e-03 eta: 8:05:09 time: 0.9223 data_time: 0.0169 memory: 19925 grad_norm: 4.0719 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0627 loss: 1.0627 2022/08/11 06:36:18 - mmengine - INFO - Epoch(val) [32][20/155] eta: 0:01:29 time: 0.6638 data_time: 0.4297 memory: 2570 2022/08/11 06:36:26 - mmengine - INFO - Epoch(val) [32][40/155] eta: 0:00:47 time: 0.4103 data_time: 0.1776 memory: 2570 2022/08/11 06:36:35 - mmengine - INFO - Epoch(val) [32][60/155] eta: 0:00:42 time: 0.4479 data_time: 0.2165 memory: 2570 2022/08/11 06:36:42 - mmengine - INFO - Epoch(val) [32][80/155] eta: 0:00:27 time: 0.3645 data_time: 0.1337 memory: 2570 2022/08/11 06:36:52 - mmengine - INFO - Epoch(val) [32][100/155] eta: 0:00:26 time: 0.4736 data_time: 0.2426 memory: 2570 2022/08/11 06:36:59 - mmengine - INFO - Epoch(val) [32][120/155] eta: 0:00:13 time: 0.3750 data_time: 0.1439 memory: 2570 2022/08/11 06:37:09 - mmengine - INFO - Epoch(val) [32][140/155] eta: 0:00:06 time: 0.4595 data_time: 0.2289 memory: 2570 2022/08/11 06:37:54 - mmengine - INFO - Epoch(val) [32][155/155] acc/top1: 0.7085 acc/top5: 0.8980 acc/mean1: 0.7084 2022/08/11 06:37:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_32.pth is removed 2022/08/11 06:37:56 - mmengine - INFO - The best checkpoint with 0.7085 acc/top1 at 33 epoch is saved to best_acc/top1_epoch_33.pth. 2022/08/11 06:38:21 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 2.0000e-03 eta: 8:04:30 time: 1.2395 data_time: 0.2281 memory: 19925 grad_norm: 3.9471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0201 loss: 1.0201 2022/08/11 06:38:37 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 2.0000e-03 eta: 8:04:13 time: 0.8319 data_time: 0.0259 memory: 19925 grad_norm: 3.9579 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/08/11 06:38:54 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 2.0000e-03 eta: 8:03:55 time: 0.8334 data_time: 0.0191 memory: 19925 grad_norm: 4.0256 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0909 loss: 1.0909 2022/08/11 06:39:11 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 2.0000e-03 eta: 8:03:38 time: 0.8310 data_time: 0.0181 memory: 19925 grad_norm: 3.8158 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8557 loss: 0.8557 2022/08/11 06:39:27 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 2.0000e-03 eta: 8:03:20 time: 0.8301 data_time: 0.0185 memory: 19925 grad_norm: 3.9284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9015 loss: 0.9015 2022/08/11 06:39:44 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 2.0000e-03 eta: 8:03:03 time: 0.8386 data_time: 0.0175 memory: 19925 grad_norm: 3.9476 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0881 loss: 1.0881 2022/08/11 06:40:01 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 2.0000e-03 eta: 8:02:45 time: 0.8344 data_time: 0.0178 memory: 19925 grad_norm: 3.8336 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9798 loss: 0.9798 2022/08/11 06:40:18 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 2.0000e-03 eta: 8:02:28 time: 0.8488 data_time: 0.0192 memory: 19925 grad_norm: 3.9032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9531 loss: 0.9531 2022/08/11 06:40:35 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 2.0000e-03 eta: 8:02:11 time: 0.8487 data_time: 0.0306 memory: 19925 grad_norm: 3.8736 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9582 loss: 0.9582 2022/08/11 06:40:52 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 2.0000e-03 eta: 8:01:53 time: 0.8385 data_time: 0.0249 memory: 19925 grad_norm: 3.8113 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0542 loss: 1.0542 2022/08/11 06:41:08 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 2.0000e-03 eta: 8:01:36 time: 0.8309 data_time: 0.0184 memory: 19925 grad_norm: 3.8231 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9275 loss: 0.9275 2022/08/11 06:41:25 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 2.0000e-03 eta: 8:01:18 time: 0.8347 data_time: 0.0184 memory: 19925 grad_norm: 4.0263 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/11 06:41:42 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 2.0000e-03 eta: 8:01:01 time: 0.8325 data_time: 0.0188 memory: 19925 grad_norm: 3.8785 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9267 loss: 0.9267 2022/08/11 06:41:58 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 2.0000e-03 eta: 8:00:43 time: 0.8357 data_time: 0.0263 memory: 19925 grad_norm: 3.9521 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9209 loss: 0.9209 2022/08/11 06:42:15 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 2.0000e-03 eta: 8:00:26 time: 0.8404 data_time: 0.0182 memory: 19925 grad_norm: 3.9380 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8804 loss: 0.8804 2022/08/11 06:42:32 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 2.0000e-03 eta: 8:00:09 time: 0.8378 data_time: 0.0190 memory: 19925 grad_norm: 3.8630 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0354 loss: 1.0354 2022/08/11 06:42:49 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 2.0000e-03 eta: 7:59:51 time: 0.8406 data_time: 0.0177 memory: 19925 grad_norm: 3.9369 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9124 loss: 0.9124 2022/08/11 06:43:05 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 2.0000e-03 eta: 7:59:34 time: 0.8336 data_time: 0.0176 memory: 19925 grad_norm: 4.0282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/08/11 06:43:22 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 2.0000e-03 eta: 7:59:16 time: 0.8380 data_time: 0.0181 memory: 19925 grad_norm: 3.8911 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8269 loss: 0.8269 2022/08/11 06:43:39 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 2.0000e-03 eta: 7:58:59 time: 0.8347 data_time: 0.0172 memory: 19925 grad_norm: 3.8850 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0139 loss: 1.0139 2022/08/11 06:43:56 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 2.0000e-03 eta: 7:58:41 time: 0.8335 data_time: 0.0182 memory: 19925 grad_norm: 3.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/08/11 06:44:12 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 2.0000e-03 eta: 7:58:24 time: 0.8328 data_time: 0.0183 memory: 19925 grad_norm: 3.9252 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1206 loss: 1.1206 2022/08/11 06:44:29 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 2.0000e-03 eta: 7:58:06 time: 0.8365 data_time: 0.0174 memory: 19925 grad_norm: 3.8904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0094 loss: 1.0094 2022/08/11 06:44:46 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 2.0000e-03 eta: 7:57:49 time: 0.8342 data_time: 0.0187 memory: 19925 grad_norm: 3.9441 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8551 loss: 0.8551 2022/08/11 06:45:02 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 2.0000e-03 eta: 7:57:31 time: 0.8354 data_time: 0.0178 memory: 19925 grad_norm: 4.0240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8932 loss: 0.8932 2022/08/11 06:45:20 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 2.0000e-03 eta: 7:57:14 time: 0.8633 data_time: 0.0456 memory: 19925 grad_norm: 3.9193 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1166 loss: 1.1166 2022/08/11 06:45:36 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 2.0000e-03 eta: 7:56:57 time: 0.8378 data_time: 0.0171 memory: 19925 grad_norm: 3.8841 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9884 loss: 0.9884 2022/08/11 06:45:53 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 2.0000e-03 eta: 7:56:39 time: 0.8463 data_time: 0.0196 memory: 19925 grad_norm: 3.8715 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9047 loss: 0.9047 2022/08/11 06:46:10 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 2.0000e-03 eta: 7:56:22 time: 0.8439 data_time: 0.0186 memory: 19925 grad_norm: 3.9834 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/11 06:46:27 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 2.0000e-03 eta: 7:56:05 time: 0.8374 data_time: 0.0177 memory: 19925 grad_norm: 3.7518 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8892 loss: 0.8892 2022/08/11 06:46:44 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 2.0000e-03 eta: 7:55:47 time: 0.8354 data_time: 0.0167 memory: 19925 grad_norm: 3.9050 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/08/11 06:47:00 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 2.0000e-03 eta: 7:55:30 time: 0.8369 data_time: 0.0182 memory: 19925 grad_norm: 4.0110 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9867 loss: 0.9867 2022/08/11 06:47:17 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 2.0000e-03 eta: 7:55:12 time: 0.8320 data_time: 0.0183 memory: 19925 grad_norm: 3.9215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1281 loss: 1.1281 2022/08/11 06:47:34 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 2.0000e-03 eta: 7:54:55 time: 0.8374 data_time: 0.0173 memory: 19925 grad_norm: 4.0189 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0836 loss: 1.0836 2022/08/11 06:47:53 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 2.0000e-03 eta: 7:54:38 time: 0.9422 data_time: 0.0179 memory: 19925 grad_norm: 3.7998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8218 loss: 0.8218 2022/08/11 06:48:09 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 2.0000e-03 eta: 7:54:21 time: 0.8343 data_time: 0.0170 memory: 19925 grad_norm: 3.9304 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9954 loss: 0.9954 2022/08/11 06:48:26 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 2.0000e-03 eta: 7:54:03 time: 0.8338 data_time: 0.0177 memory: 19925 grad_norm: 3.8955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0225 loss: 1.0225 2022/08/11 06:48:43 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 2.0000e-03 eta: 7:53:46 time: 0.8359 data_time: 0.0177 memory: 19925 grad_norm: 3.9660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0547 loss: 1.0547 2022/08/11 06:48:59 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 2.0000e-03 eta: 7:53:29 time: 0.8346 data_time: 0.0175 memory: 19925 grad_norm: 3.9614 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9488 loss: 0.9488 2022/08/11 06:49:16 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 2.0000e-03 eta: 7:53:11 time: 0.8351 data_time: 0.0172 memory: 19925 grad_norm: 3.8636 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9734 loss: 0.9734 2022/08/11 06:49:33 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 2.0000e-03 eta: 7:52:54 time: 0.8303 data_time: 0.0170 memory: 19925 grad_norm: 4.0330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9962 loss: 0.9962 2022/08/11 06:49:50 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 2.0000e-03 eta: 7:52:36 time: 0.8409 data_time: 0.0236 memory: 19925 grad_norm: 4.0158 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9427 loss: 0.9427 2022/08/11 06:50:06 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 2.0000e-03 eta: 7:52:19 time: 0.8340 data_time: 0.0191 memory: 19925 grad_norm: 3.9309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/11 06:50:17 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 06:50:24 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 2.0000e-03 eta: 7:52:02 time: 0.8745 data_time: 0.0508 memory: 19925 grad_norm: 3.8729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/08/11 06:50:41 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 2.0000e-03 eta: 7:51:44 time: 0.8361 data_time: 0.0183 memory: 19925 grad_norm: 4.0397 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0585 loss: 1.0585 2022/08/11 06:50:57 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 2.0000e-03 eta: 7:51:27 time: 0.8285 data_time: 0.0177 memory: 19925 grad_norm: 3.8411 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/11 06:51:14 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 2.0000e-03 eta: 7:51:09 time: 0.8308 data_time: 0.0183 memory: 19925 grad_norm: 3.8945 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/08/11 06:51:31 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 2.0000e-03 eta: 7:50:52 time: 0.8405 data_time: 0.0236 memory: 19925 grad_norm: 3.9161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9325 loss: 0.9325 2022/08/11 06:51:47 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 2.0000e-03 eta: 7:50:34 time: 0.8376 data_time: 0.0182 memory: 19925 grad_norm: 3.8193 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/08/11 06:52:04 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 2.0000e-03 eta: 7:50:17 time: 0.8387 data_time: 0.0166 memory: 19925 grad_norm: 3.8615 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9237 loss: 0.9237 2022/08/11 06:52:21 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 2.0000e-03 eta: 7:49:59 time: 0.8295 data_time: 0.0178 memory: 19925 grad_norm: 4.0042 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0114 loss: 1.0114 2022/08/11 06:52:37 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 2.0000e-03 eta: 7:49:42 time: 0.8340 data_time: 0.0177 memory: 19925 grad_norm: 3.9770 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0424 loss: 1.0424 2022/08/11 06:52:54 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 2.0000e-03 eta: 7:49:24 time: 0.8345 data_time: 0.0177 memory: 19925 grad_norm: 4.0053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8736 loss: 0.8736 2022/08/11 06:53:11 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 2.0000e-03 eta: 7:49:07 time: 0.8355 data_time: 0.0183 memory: 19925 grad_norm: 3.9505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9042 loss: 0.9042 2022/08/11 06:53:27 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 2.0000e-03 eta: 7:48:50 time: 0.8305 data_time: 0.0174 memory: 19925 grad_norm: 3.8675 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9737 loss: 0.9737 2022/08/11 06:53:44 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 2.0000e-03 eta: 7:48:32 time: 0.8440 data_time: 0.0176 memory: 19925 grad_norm: 3.9552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8137 loss: 0.8137 2022/08/11 06:54:01 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 2.0000e-03 eta: 7:48:15 time: 0.8434 data_time: 0.0179 memory: 19925 grad_norm: 3.9055 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/08/11 06:54:18 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 2.0000e-03 eta: 7:47:57 time: 0.8371 data_time: 0.0175 memory: 19925 grad_norm: 3.9671 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/11 06:54:36 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 2.0000e-03 eta: 7:47:41 time: 0.9109 data_time: 0.0173 memory: 19925 grad_norm: 3.9693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0567 loss: 1.0567 2022/08/11 06:54:55 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 2.0000e-03 eta: 7:47:25 time: 0.9585 data_time: 0.0176 memory: 19925 grad_norm: 3.9890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/11 06:55:12 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 2.0000e-03 eta: 7:47:07 time: 0.8448 data_time: 0.0193 memory: 19925 grad_norm: 3.9830 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0250 loss: 1.0250 2022/08/11 06:55:29 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 2.0000e-03 eta: 7:46:50 time: 0.8486 data_time: 0.0196 memory: 19925 grad_norm: 4.0058 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2777 loss: 1.2777 2022/08/11 06:55:46 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 2.0000e-03 eta: 7:46:32 time: 0.8363 data_time: 0.0171 memory: 19925 grad_norm: 4.0003 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8749 loss: 0.8749 2022/08/11 06:56:03 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 2.0000e-03 eta: 7:46:15 time: 0.8341 data_time: 0.0180 memory: 19925 grad_norm: 3.9605 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/08/11 06:56:19 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 2.0000e-03 eta: 7:45:58 time: 0.8335 data_time: 0.0193 memory: 19925 grad_norm: 3.9790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/08/11 06:56:36 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 2.0000e-03 eta: 7:45:40 time: 0.8373 data_time: 0.0181 memory: 19925 grad_norm: 3.8881 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/11 06:56:53 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 2.0000e-03 eta: 7:45:23 time: 0.8346 data_time: 0.0172 memory: 19925 grad_norm: 4.0158 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9746 loss: 0.9746 2022/08/11 06:57:09 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 2.0000e-03 eta: 7:45:05 time: 0.8330 data_time: 0.0183 memory: 19925 grad_norm: 3.9852 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/08/11 06:57:26 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 2.0000e-03 eta: 7:44:48 time: 0.8316 data_time: 0.0192 memory: 19925 grad_norm: 3.9238 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1241 loss: 1.1241 2022/08/11 06:57:43 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 2.0000e-03 eta: 7:44:30 time: 0.8299 data_time: 0.0199 memory: 19925 grad_norm: 3.9269 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0112 loss: 1.0112 2022/08/11 06:58:01 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 2.0000e-03 eta: 7:44:13 time: 0.9034 data_time: 0.0192 memory: 19925 grad_norm: 3.9799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9774 loss: 0.9774 2022/08/11 06:58:18 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 2.0000e-03 eta: 7:43:56 time: 0.8387 data_time: 0.0178 memory: 19925 grad_norm: 3.8992 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/11 06:58:34 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 2.0000e-03 eta: 7:43:38 time: 0.8277 data_time: 0.0187 memory: 19925 grad_norm: 3.9228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/08/11 06:58:51 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 2.0000e-03 eta: 7:43:21 time: 0.8299 data_time: 0.0183 memory: 19925 grad_norm: 3.8621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/08/11 06:59:07 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 2.0000e-03 eta: 7:43:03 time: 0.8315 data_time: 0.0181 memory: 19925 grad_norm: 3.9218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9725 loss: 0.9725 2022/08/11 06:59:24 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 2.0000e-03 eta: 7:42:46 time: 0.8312 data_time: 0.0180 memory: 19925 grad_norm: 3.9484 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0108 loss: 1.0108 2022/08/11 06:59:41 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 2.0000e-03 eta: 7:42:29 time: 0.8298 data_time: 0.0180 memory: 19925 grad_norm: 3.9596 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/11 06:59:57 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 2.0000e-03 eta: 7:42:11 time: 0.8285 data_time: 0.0180 memory: 19925 grad_norm: 3.9490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8757 loss: 0.8757 2022/08/11 07:00:14 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 2.0000e-03 eta: 7:41:54 time: 0.8383 data_time: 0.0209 memory: 19925 grad_norm: 3.9248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9580 loss: 0.9580 2022/08/11 07:00:31 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 2.0000e-03 eta: 7:41:36 time: 0.8601 data_time: 0.0201 memory: 19925 grad_norm: 3.8389 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0104 loss: 1.0104 2022/08/11 07:00:48 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 2.0000e-03 eta: 7:41:19 time: 0.8385 data_time: 0.0173 memory: 19925 grad_norm: 3.9869 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9352 loss: 0.9352 2022/08/11 07:01:05 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 2.0000e-03 eta: 7:41:02 time: 0.8433 data_time: 0.0180 memory: 19925 grad_norm: 3.8178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8804 loss: 0.8804 2022/08/11 07:01:22 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 2.0000e-03 eta: 7:40:44 time: 0.8371 data_time: 0.0193 memory: 19925 grad_norm: 3.9405 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/08/11 07:01:38 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 2.0000e-03 eta: 7:40:27 time: 0.8361 data_time: 0.0188 memory: 19925 grad_norm: 3.9285 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9884 loss: 0.9884 2022/08/11 07:01:55 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 2.0000e-03 eta: 7:40:09 time: 0.8319 data_time: 0.0179 memory: 19925 grad_norm: 3.9960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9757 loss: 0.9757 2022/08/11 07:02:12 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 2.0000e-03 eta: 7:39:52 time: 0.8387 data_time: 0.0188 memory: 19925 grad_norm: 4.0355 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/08/11 07:02:28 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 2.0000e-03 eta: 7:39:34 time: 0.8306 data_time: 0.0193 memory: 19925 grad_norm: 3.9983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/08/11 07:02:45 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 2.0000e-03 eta: 7:39:17 time: 0.8275 data_time: 0.0187 memory: 19925 grad_norm: 3.8777 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8988 loss: 0.8988 2022/08/11 07:03:01 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 2.0000e-03 eta: 7:38:59 time: 0.8321 data_time: 0.0171 memory: 19925 grad_norm: 3.9397 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/08/11 07:03:18 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 2.0000e-03 eta: 7:38:42 time: 0.8372 data_time: 0.0177 memory: 19925 grad_norm: 4.0380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/08/11 07:03:35 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 2.0000e-03 eta: 7:38:25 time: 0.8367 data_time: 0.0160 memory: 19925 grad_norm: 3.8966 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9987 loss: 0.9987 2022/08/11 07:03:52 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 2.0000e-03 eta: 7:38:07 time: 0.8409 data_time: 0.0239 memory: 19925 grad_norm: 4.0155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9732 loss: 0.9732 2022/08/11 07:04:09 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 2.0000e-03 eta: 7:37:50 time: 0.8422 data_time: 0.0183 memory: 19925 grad_norm: 4.0023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/08/11 07:04:19 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 07:04:24 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 07:04:24 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 2.0000e-03 eta: 7:37:50 time: 0.8067 data_time: 0.0155 memory: 19925 grad_norm: 4.0802 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9701 loss: 0.9701 2022/08/11 07:04:24 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/11 07:04:38 - mmengine - INFO - Epoch(val) [33][20/155] eta: 0:01:22 time: 0.6135 data_time: 0.3810 memory: 2570 2022/08/11 07:04:50 - mmengine - INFO - Epoch(val) [33][40/155] eta: 0:01:04 time: 0.5628 data_time: 0.3316 memory: 2570 2022/08/11 07:04:57 - mmengine - INFO - Epoch(val) [33][60/155] eta: 0:00:35 time: 0.3778 data_time: 0.1471 memory: 2570 2022/08/11 07:05:13 - mmengine - INFO - Epoch(val) [33][80/155] eta: 0:00:59 time: 0.7894 data_time: 0.5597 memory: 2570 2022/08/11 07:05:22 - mmengine - INFO - Epoch(val) [33][100/155] eta: 0:00:24 time: 0.4467 data_time: 0.2167 memory: 2570 2022/08/11 07:05:35 - mmengine - INFO - Epoch(val) [33][120/155] eta: 0:00:22 time: 0.6340 data_time: 0.4044 memory: 2570 2022/08/11 07:05:42 - mmengine - INFO - Epoch(val) [33][140/155] eta: 0:00:05 time: 0.3896 data_time: 0.1594 memory: 2570 2022/08/11 07:06:16 - mmengine - INFO - Epoch(val) [33][155/155] acc/top1: 0.7092 acc/top5: 0.8989 acc/mean1: 0.7091 2022/08/11 07:06:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_33.pth is removed 2022/08/11 07:06:18 - mmengine - INFO - The best checkpoint with 0.7092 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/08/11 07:06:39 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 2.0000e-03 eta: 7:37:10 time: 1.0478 data_time: 0.2209 memory: 19925 grad_norm: 3.9575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9801 loss: 0.9801 2022/08/11 07:06:55 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 2.0000e-03 eta: 7:36:52 time: 0.8370 data_time: 0.0161 memory: 19925 grad_norm: 3.8462 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0526 loss: 1.0526 2022/08/11 07:07:12 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 2.0000e-03 eta: 7:36:35 time: 0.8296 data_time: 0.0187 memory: 19925 grad_norm: 3.9059 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/11 07:07:29 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 2.0000e-03 eta: 7:36:17 time: 0.8335 data_time: 0.0256 memory: 19925 grad_norm: 3.8834 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9517 loss: 0.9517 2022/08/11 07:07:45 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 2.0000e-03 eta: 7:36:00 time: 0.8275 data_time: 0.0190 memory: 19925 grad_norm: 3.9715 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/11 07:08:03 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 2.0000e-03 eta: 7:35:43 time: 0.8967 data_time: 0.0175 memory: 19925 grad_norm: 3.8825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8823 loss: 0.8823 2022/08/11 07:08:20 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 2.0000e-03 eta: 7:35:26 time: 0.8323 data_time: 0.0204 memory: 19925 grad_norm: 4.0005 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9838 loss: 0.9838 2022/08/11 07:08:37 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 2.0000e-03 eta: 7:35:08 time: 0.8344 data_time: 0.0180 memory: 19925 grad_norm: 3.9114 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9628 loss: 0.9628 2022/08/11 07:08:53 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 2.0000e-03 eta: 7:34:51 time: 0.8359 data_time: 0.0180 memory: 19925 grad_norm: 3.9167 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8276 loss: 0.8276 2022/08/11 07:09:10 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 2.0000e-03 eta: 7:34:33 time: 0.8345 data_time: 0.0188 memory: 19925 grad_norm: 3.9098 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0390 loss: 1.0390 2022/08/11 07:09:27 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 2.0000e-03 eta: 7:34:16 time: 0.8351 data_time: 0.0186 memory: 19925 grad_norm: 4.0245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/08/11 07:09:43 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 2.0000e-03 eta: 7:33:58 time: 0.8329 data_time: 0.0181 memory: 19925 grad_norm: 3.9924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0538 loss: 1.0538 2022/08/11 07:10:00 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 2.0000e-03 eta: 7:33:41 time: 0.8339 data_time: 0.0161 memory: 19925 grad_norm: 3.9550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9949 loss: 0.9949 2022/08/11 07:10:17 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 2.0000e-03 eta: 7:33:24 time: 0.8382 data_time: 0.0205 memory: 19925 grad_norm: 3.8863 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9424 loss: 0.9424 2022/08/11 07:10:34 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 2.0000e-03 eta: 7:33:06 time: 0.8339 data_time: 0.0177 memory: 19925 grad_norm: 3.8067 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/08/11 07:10:50 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 2.0000e-03 eta: 7:32:49 time: 0.8304 data_time: 0.0172 memory: 19925 grad_norm: 3.9268 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0228 loss: 1.0228 2022/08/11 07:11:07 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 2.0000e-03 eta: 7:32:31 time: 0.8314 data_time: 0.0181 memory: 19925 grad_norm: 3.8504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8252 loss: 0.8252 2022/08/11 07:11:23 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 2.0000e-03 eta: 7:32:14 time: 0.8297 data_time: 0.0192 memory: 19925 grad_norm: 3.9624 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/11 07:11:40 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 2.0000e-03 eta: 7:31:56 time: 0.8344 data_time: 0.0196 memory: 19925 grad_norm: 4.0032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9223 loss: 0.9223 2022/08/11 07:11:57 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 2.0000e-03 eta: 7:31:39 time: 0.8333 data_time: 0.0171 memory: 19925 grad_norm: 3.9818 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9136 loss: 0.9136 2022/08/11 07:12:13 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 2.0000e-03 eta: 7:31:22 time: 0.8354 data_time: 0.0181 memory: 19925 grad_norm: 3.9992 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/11 07:12:30 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 2.0000e-03 eta: 7:31:04 time: 0.8324 data_time: 0.0165 memory: 19925 grad_norm: 3.9941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8734 loss: 0.8734 2022/08/11 07:12:47 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 2.0000e-03 eta: 7:30:47 time: 0.8358 data_time: 0.0175 memory: 19925 grad_norm: 4.0626 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0850 loss: 1.0850 2022/08/11 07:13:04 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 2.0000e-03 eta: 7:30:29 time: 0.8355 data_time: 0.0185 memory: 19925 grad_norm: 3.8820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/11 07:13:20 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 2.0000e-03 eta: 7:30:12 time: 0.8293 data_time: 0.0192 memory: 19925 grad_norm: 3.9331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7565 loss: 0.7565 2022/08/11 07:13:37 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 2.0000e-03 eta: 7:29:54 time: 0.8344 data_time: 0.0186 memory: 19925 grad_norm: 4.0607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9890 loss: 0.9890 2022/08/11 07:13:54 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 2.0000e-03 eta: 7:29:37 time: 0.8410 data_time: 0.0187 memory: 19925 grad_norm: 3.9290 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7998 loss: 0.7998 2022/08/11 07:14:10 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 2.0000e-03 eta: 7:29:20 time: 0.8405 data_time: 0.0240 memory: 19925 grad_norm: 3.8859 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0083 loss: 1.0083 2022/08/11 07:14:27 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 2.0000e-03 eta: 7:29:02 time: 0.8325 data_time: 0.0177 memory: 19925 grad_norm: 3.9076 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8482 loss: 0.8482 2022/08/11 07:14:44 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 2.0000e-03 eta: 7:28:45 time: 0.8318 data_time: 0.0185 memory: 19925 grad_norm: 3.9375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/08/11 07:15:01 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 2.0000e-03 eta: 7:28:27 time: 0.8384 data_time: 0.0175 memory: 19925 grad_norm: 3.8887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8316 loss: 0.8316 2022/08/11 07:15:17 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 2.0000e-03 eta: 7:28:10 time: 0.8406 data_time: 0.0187 memory: 19925 grad_norm: 3.8746 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8201 loss: 0.8201 2022/08/11 07:15:34 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 2.0000e-03 eta: 7:27:53 time: 0.8361 data_time: 0.0194 memory: 19925 grad_norm: 4.0663 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0012 loss: 1.0012 2022/08/11 07:15:51 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 2.0000e-03 eta: 7:27:35 time: 0.8347 data_time: 0.0190 memory: 19925 grad_norm: 4.0114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/08/11 07:16:08 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 2.0000e-03 eta: 7:27:18 time: 0.8376 data_time: 0.0180 memory: 19925 grad_norm: 3.9362 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8963 loss: 0.8963 2022/08/11 07:16:24 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 2.0000e-03 eta: 7:27:00 time: 0.8370 data_time: 0.0187 memory: 19925 grad_norm: 3.9595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/11 07:16:41 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 2.0000e-03 eta: 7:26:43 time: 0.8397 data_time: 0.0187 memory: 19925 grad_norm: 3.8541 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8258 loss: 0.8258 2022/08/11 07:16:58 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 2.0000e-03 eta: 7:26:25 time: 0.8330 data_time: 0.0193 memory: 19925 grad_norm: 3.9946 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9625 loss: 0.9625 2022/08/11 07:17:14 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 2.0000e-03 eta: 7:26:08 time: 0.8326 data_time: 0.0202 memory: 19925 grad_norm: 3.9932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0154 loss: 1.0154 2022/08/11 07:17:31 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 2.0000e-03 eta: 7:25:51 time: 0.8252 data_time: 0.0183 memory: 19925 grad_norm: 3.9406 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/08/11 07:17:48 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 2.0000e-03 eta: 7:25:33 time: 0.8283 data_time: 0.0193 memory: 19925 grad_norm: 3.9962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8649 loss: 0.8649 2022/08/11 07:18:06 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 2.0000e-03 eta: 7:25:16 time: 0.9052 data_time: 0.0258 memory: 19925 grad_norm: 3.9086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9743 loss: 0.9743 2022/08/11 07:18:22 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 2.0000e-03 eta: 7:24:59 time: 0.8348 data_time: 0.0190 memory: 19925 grad_norm: 3.9504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/08/11 07:18:39 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 2.0000e-03 eta: 7:24:41 time: 0.8293 data_time: 0.0191 memory: 19925 grad_norm: 3.8387 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9617 loss: 0.9617 2022/08/11 07:18:56 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 2.0000e-03 eta: 7:24:24 time: 0.8317 data_time: 0.0178 memory: 19925 grad_norm: 4.0044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/08/11 07:19:12 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 2.0000e-03 eta: 7:24:07 time: 0.8311 data_time: 0.0179 memory: 19925 grad_norm: 3.9870 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9893 loss: 0.9893 2022/08/11 07:19:29 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 2.0000e-03 eta: 7:23:49 time: 0.8282 data_time: 0.0179 memory: 19925 grad_norm: 3.9397 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0414 loss: 1.0414 2022/08/11 07:19:46 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 2.0000e-03 eta: 7:23:32 time: 0.8384 data_time: 0.0242 memory: 19925 grad_norm: 3.9219 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9849 loss: 0.9849 2022/08/11 07:20:02 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 2.0000e-03 eta: 7:23:14 time: 0.8307 data_time: 0.0169 memory: 19925 grad_norm: 4.0276 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8549 loss: 0.8549 2022/08/11 07:20:14 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 07:20:19 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 2.0000e-03 eta: 7:22:57 time: 0.8616 data_time: 0.0527 memory: 19925 grad_norm: 3.9399 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9014 loss: 0.9014 2022/08/11 07:20:36 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 2.0000e-03 eta: 7:22:40 time: 0.8283 data_time: 0.0184 memory: 19925 grad_norm: 3.9746 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/11 07:20:53 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 2.0000e-03 eta: 7:22:22 time: 0.8361 data_time: 0.0247 memory: 19925 grad_norm: 4.1222 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/08/11 07:21:10 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 2.0000e-03 eta: 7:22:05 time: 0.8393 data_time: 0.0265 memory: 19925 grad_norm: 3.9905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9264 loss: 0.9264 2022/08/11 07:21:26 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 2.0000e-03 eta: 7:21:47 time: 0.8320 data_time: 0.0174 memory: 19925 grad_norm: 4.0041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/08/11 07:21:43 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 2.0000e-03 eta: 7:21:30 time: 0.8321 data_time: 0.0171 memory: 19925 grad_norm: 4.0473 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9034 loss: 0.9034 2022/08/11 07:21:59 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 2.0000e-03 eta: 7:21:12 time: 0.8327 data_time: 0.0171 memory: 19925 grad_norm: 3.7865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/11 07:22:16 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 2.0000e-03 eta: 7:20:55 time: 0.8324 data_time: 0.0177 memory: 19925 grad_norm: 4.0778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/11 07:22:33 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 2.0000e-03 eta: 7:20:38 time: 0.8330 data_time: 0.0180 memory: 19925 grad_norm: 4.0523 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1361 loss: 1.1361 2022/08/11 07:22:50 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 2.0000e-03 eta: 7:20:20 time: 0.8369 data_time: 0.0212 memory: 19925 grad_norm: 4.0080 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0038 loss: 1.0038 2022/08/11 07:23:06 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 2.0000e-03 eta: 7:20:03 time: 0.8327 data_time: 0.0176 memory: 19925 grad_norm: 4.0376 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/08/11 07:23:23 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 2.0000e-03 eta: 7:19:45 time: 0.8322 data_time: 0.0170 memory: 19925 grad_norm: 3.9918 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/08/11 07:23:39 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 2.0000e-03 eta: 7:19:28 time: 0.8309 data_time: 0.0179 memory: 19925 grad_norm: 4.1138 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0004 loss: 1.0004 2022/08/11 07:23:56 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 2.0000e-03 eta: 7:19:11 time: 0.8356 data_time: 0.0180 memory: 19925 grad_norm: 4.1626 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0378 loss: 1.0378 2022/08/11 07:24:13 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 2.0000e-03 eta: 7:18:53 time: 0.8368 data_time: 0.0174 memory: 19925 grad_norm: 3.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/08/11 07:24:30 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 2.0000e-03 eta: 7:18:36 time: 0.8281 data_time: 0.0180 memory: 19925 grad_norm: 3.9533 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9121 loss: 0.9121 2022/08/11 07:24:46 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 2.0000e-03 eta: 7:18:18 time: 0.8337 data_time: 0.0179 memory: 19925 grad_norm: 4.0288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1069 loss: 1.1069 2022/08/11 07:25:03 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 2.0000e-03 eta: 7:18:01 time: 0.8333 data_time: 0.0179 memory: 19925 grad_norm: 3.9712 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0044 loss: 1.0044 2022/08/11 07:25:20 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 2.0000e-03 eta: 7:17:44 time: 0.8786 data_time: 0.0639 memory: 19925 grad_norm: 4.0470 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0283 loss: 1.0283 2022/08/11 07:25:37 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 2.0000e-03 eta: 7:17:26 time: 0.8348 data_time: 0.0186 memory: 19925 grad_norm: 3.9880 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9133 loss: 0.9133 2022/08/11 07:25:54 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 2.0000e-03 eta: 7:17:09 time: 0.8374 data_time: 0.0164 memory: 19925 grad_norm: 4.0462 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/08/11 07:26:11 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 2.0000e-03 eta: 7:16:52 time: 0.8386 data_time: 0.0184 memory: 19925 grad_norm: 3.9015 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/08/11 07:26:27 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 2.0000e-03 eta: 7:16:34 time: 0.8325 data_time: 0.0178 memory: 19925 grad_norm: 3.8785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9737 loss: 0.9737 2022/08/11 07:26:44 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 2.0000e-03 eta: 7:16:17 time: 0.8358 data_time: 0.0178 memory: 19925 grad_norm: 4.0601 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8859 loss: 0.8859 2022/08/11 07:27:01 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 2.0000e-03 eta: 7:15:59 time: 0.8312 data_time: 0.0171 memory: 19925 grad_norm: 4.0088 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9218 loss: 0.9218 2022/08/11 07:27:17 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 2.0000e-03 eta: 7:15:42 time: 0.8295 data_time: 0.0177 memory: 19925 grad_norm: 4.0454 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0561 loss: 1.0561 2022/08/11 07:27:34 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 2.0000e-03 eta: 7:15:25 time: 0.8340 data_time: 0.0189 memory: 19925 grad_norm: 4.0002 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7992 loss: 0.7992 2022/08/11 07:27:53 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 2.0000e-03 eta: 7:15:08 time: 0.9340 data_time: 0.0191 memory: 19925 grad_norm: 3.9809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9069 loss: 0.9069 2022/08/11 07:28:10 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 2.0000e-03 eta: 7:14:51 time: 0.8476 data_time: 0.0180 memory: 19925 grad_norm: 4.0084 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9688 loss: 0.9688 2022/08/11 07:28:26 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 2.0000e-03 eta: 7:14:33 time: 0.8368 data_time: 0.0184 memory: 19925 grad_norm: 4.2022 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0419 loss: 1.0419 2022/08/11 07:28:43 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 2.0000e-03 eta: 7:14:16 time: 0.8343 data_time: 0.0192 memory: 19925 grad_norm: 3.9915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0561 loss: 1.0561 2022/08/11 07:29:00 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 2.0000e-03 eta: 7:13:59 time: 0.8393 data_time: 0.0184 memory: 19925 grad_norm: 3.9849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/08/11 07:29:17 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 2.0000e-03 eta: 7:13:41 time: 0.8324 data_time: 0.0171 memory: 19925 grad_norm: 3.9507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8301 loss: 0.8301 2022/08/11 07:29:33 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 2.0000e-03 eta: 7:13:24 time: 0.8310 data_time: 0.0181 memory: 19925 grad_norm: 3.9361 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0188 loss: 1.0188 2022/08/11 07:29:50 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 2.0000e-03 eta: 7:13:06 time: 0.8370 data_time: 0.0190 memory: 19925 grad_norm: 3.9790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/08/11 07:30:07 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 2.0000e-03 eta: 7:12:49 time: 0.8585 data_time: 0.0173 memory: 19925 grad_norm: 3.9992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9318 loss: 0.9318 2022/08/11 07:30:25 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 2.0000e-03 eta: 7:12:32 time: 0.8728 data_time: 0.0386 memory: 19925 grad_norm: 3.9705 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9218 loss: 0.9218 2022/08/11 07:30:42 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 2.0000e-03 eta: 7:12:15 time: 0.8515 data_time: 0.0182 memory: 19925 grad_norm: 4.0865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/08/11 07:30:58 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 2.0000e-03 eta: 7:11:58 time: 0.8362 data_time: 0.0181 memory: 19925 grad_norm: 4.1418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0533 loss: 1.0533 2022/08/11 07:31:15 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 2.0000e-03 eta: 7:11:40 time: 0.8423 data_time: 0.0197 memory: 19925 grad_norm: 4.0251 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8916 loss: 0.8916 2022/08/11 07:31:32 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 2.0000e-03 eta: 7:11:23 time: 0.8422 data_time: 0.0161 memory: 19925 grad_norm: 4.0280 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1270 loss: 1.1270 2022/08/11 07:31:49 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 2.0000e-03 eta: 7:11:06 time: 0.8374 data_time: 0.0193 memory: 19925 grad_norm: 3.9827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9129 loss: 0.9129 2022/08/11 07:32:06 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 2.0000e-03 eta: 7:10:48 time: 0.8381 data_time: 0.0163 memory: 19925 grad_norm: 3.8718 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/11 07:32:24 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 2.0000e-03 eta: 7:10:31 time: 0.9035 data_time: 0.0191 memory: 19925 grad_norm: 4.0898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0556 loss: 1.0556 2022/08/11 07:32:39 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 07:32:39 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 2.0000e-03 eta: 7:10:31 time: 0.8176 data_time: 0.0137 memory: 19925 grad_norm: 4.0489 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8985 loss: 0.8985 2022/08/11 07:32:55 - mmengine - INFO - Epoch(val) [34][20/155] eta: 0:01:49 time: 0.8132 data_time: 0.5795 memory: 2570 2022/08/11 07:33:06 - mmengine - INFO - Epoch(val) [34][40/155] eta: 0:00:58 time: 0.5049 data_time: 0.2748 memory: 2570 2022/08/11 07:33:21 - mmengine - INFO - Epoch(val) [34][60/155] eta: 0:01:15 time: 0.7930 data_time: 0.5637 memory: 2570 2022/08/11 07:33:36 - mmengine - INFO - Epoch(val) [34][80/155] eta: 0:00:55 time: 0.7416 data_time: 0.5117 memory: 2570 2022/08/11 07:33:50 - mmengine - INFO - Epoch(val) [34][100/155] eta: 0:00:37 time: 0.6830 data_time: 0.4532 memory: 2570 2022/08/11 07:34:01 - mmengine - INFO - Epoch(val) [34][120/155] eta: 0:00:19 time: 0.5601 data_time: 0.3312 memory: 2570 2022/08/11 07:34:17 - mmengine - INFO - Epoch(val) [34][140/155] eta: 0:00:11 time: 0.7857 data_time: 0.5552 memory: 2570 2022/08/11 07:34:36 - mmengine - INFO - Epoch(val) [34][155/155] acc/top1: 0.7102 acc/top5: 0.9004 acc/mean1: 0.7101 2022/08/11 07:34:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_34.pth is removed 2022/08/11 07:34:37 - mmengine - INFO - The best checkpoint with 0.7102 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/08/11 07:35:05 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 2.0000e-03 eta: 7:09:55 time: 1.3948 data_time: 0.3877 memory: 19925 grad_norm: 4.0570 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/08/11 07:35:22 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 2.0000e-03 eta: 7:09:38 time: 0.8558 data_time: 0.0366 memory: 19925 grad_norm: 3.8796 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9809 loss: 0.9809 2022/08/11 07:35:39 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 2.0000e-03 eta: 7:09:21 time: 0.8355 data_time: 0.0182 memory: 19925 grad_norm: 3.8324 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/08/11 07:35:56 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 2.0000e-03 eta: 7:09:03 time: 0.8351 data_time: 0.0202 memory: 19925 grad_norm: 4.0388 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/08/11 07:36:12 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 2.0000e-03 eta: 7:08:46 time: 0.8299 data_time: 0.0178 memory: 19925 grad_norm: 3.9993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9519 loss: 0.9519 2022/08/11 07:36:24 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 07:36:29 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 2.0000e-03 eta: 7:08:28 time: 0.8315 data_time: 0.0177 memory: 19925 grad_norm: 3.9154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9611 loss: 0.9611 2022/08/11 07:36:46 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 2.0000e-03 eta: 7:08:11 time: 0.8347 data_time: 0.0203 memory: 19925 grad_norm: 3.8662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9021 loss: 0.9021 2022/08/11 07:37:02 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 2.0000e-03 eta: 7:07:54 time: 0.8341 data_time: 0.0166 memory: 19925 grad_norm: 3.9683 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9597 loss: 0.9597 2022/08/11 07:37:19 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 2.0000e-03 eta: 7:07:36 time: 0.8425 data_time: 0.0171 memory: 19925 grad_norm: 3.9315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8937 loss: 0.8937 2022/08/11 07:37:36 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 2.0000e-03 eta: 7:07:19 time: 0.8501 data_time: 0.0389 memory: 19925 grad_norm: 4.0476 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0653 loss: 1.0653 2022/08/11 07:37:55 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 2.0000e-03 eta: 7:07:03 time: 0.9223 data_time: 0.0211 memory: 19925 grad_norm: 3.9095 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9181 loss: 0.9181 2022/08/11 07:38:11 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 2.0000e-03 eta: 7:06:45 time: 0.8451 data_time: 0.0174 memory: 19925 grad_norm: 3.8999 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9716 loss: 0.9716 2022/08/11 07:38:28 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 2.0000e-03 eta: 7:06:28 time: 0.8327 data_time: 0.0184 memory: 19925 grad_norm: 3.9620 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8665 loss: 0.8665 2022/08/11 07:38:45 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 2.0000e-03 eta: 7:06:10 time: 0.8340 data_time: 0.0158 memory: 19925 grad_norm: 3.9689 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0553 loss: 1.0553 2022/08/11 07:39:01 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 2.0000e-03 eta: 7:05:53 time: 0.8350 data_time: 0.0188 memory: 19925 grad_norm: 3.9765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9446 loss: 0.9446 2022/08/11 07:39:18 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 2.0000e-03 eta: 7:05:36 time: 0.8463 data_time: 0.0152 memory: 19925 grad_norm: 4.0303 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0900 loss: 1.0900 2022/08/11 07:39:35 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 2.0000e-03 eta: 7:05:18 time: 0.8365 data_time: 0.0178 memory: 19925 grad_norm: 3.9205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/11 07:39:52 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 2.0000e-03 eta: 7:05:01 time: 0.8371 data_time: 0.0157 memory: 19925 grad_norm: 4.0696 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0997 loss: 1.0997 2022/08/11 07:40:09 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 2.0000e-03 eta: 7:04:44 time: 0.8359 data_time: 0.0176 memory: 19925 grad_norm: 3.9539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8498 loss: 0.8498 2022/08/11 07:40:26 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 2.0000e-03 eta: 7:04:26 time: 0.8635 data_time: 0.0249 memory: 19925 grad_norm: 4.0784 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9237 loss: 0.9237 2022/08/11 07:40:43 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 2.0000e-03 eta: 7:04:09 time: 0.8451 data_time: 0.0162 memory: 19925 grad_norm: 3.9671 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9246 loss: 0.9246 2022/08/11 07:41:00 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 2.0000e-03 eta: 7:03:52 time: 0.8483 data_time: 0.0277 memory: 19925 grad_norm: 4.0946 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9723 loss: 0.9723 2022/08/11 07:41:16 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 2.0000e-03 eta: 7:03:35 time: 0.8329 data_time: 0.0174 memory: 19925 grad_norm: 4.0218 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/08/11 07:41:33 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 2.0000e-03 eta: 7:03:17 time: 0.8319 data_time: 0.0172 memory: 19925 grad_norm: 4.0347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9710 loss: 0.9710 2022/08/11 07:41:50 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 2.0000e-03 eta: 7:03:00 time: 0.8415 data_time: 0.0283 memory: 19925 grad_norm: 3.9711 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/08/11 07:42:07 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 2.0000e-03 eta: 7:02:42 time: 0.8351 data_time: 0.0183 memory: 19925 grad_norm: 4.0241 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9401 loss: 0.9401 2022/08/11 07:42:24 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 2.0000e-03 eta: 7:02:25 time: 0.8849 data_time: 0.0158 memory: 19925 grad_norm: 3.9429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/08/11 07:42:46 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 2.0000e-03 eta: 7:02:10 time: 1.0928 data_time: 0.0188 memory: 19925 grad_norm: 4.0895 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9294 loss: 0.9294 2022/08/11 07:43:03 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 2.0000e-03 eta: 7:01:53 time: 0.8413 data_time: 0.0166 memory: 19925 grad_norm: 3.9540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0711 loss: 1.0711 2022/08/11 07:43:21 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 2.0000e-03 eta: 7:01:36 time: 0.8805 data_time: 0.0183 memory: 19925 grad_norm: 4.0311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0394 loss: 1.0394 2022/08/11 07:43:47 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 2.0000e-03 eta: 7:01:23 time: 1.3199 data_time: 0.0180 memory: 19925 grad_norm: 4.0751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9441 loss: 0.9441 2022/08/11 07:44:04 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 2.0000e-03 eta: 7:01:06 time: 0.8416 data_time: 0.0167 memory: 19925 grad_norm: 4.0934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9537 loss: 0.9537 2022/08/11 07:44:21 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 2.0000e-03 eta: 7:00:49 time: 0.8412 data_time: 0.0186 memory: 19925 grad_norm: 4.0544 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/11 07:44:38 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 2.0000e-03 eta: 7:00:31 time: 0.8748 data_time: 0.0177 memory: 19925 grad_norm: 3.9784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0359 loss: 1.0359 2022/08/11 07:44:57 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 2.0000e-03 eta: 7:00:15 time: 0.9203 data_time: 0.0163 memory: 19925 grad_norm: 4.0794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9798 loss: 0.9798 2022/08/11 07:45:14 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 2.0000e-03 eta: 6:59:58 time: 0.8471 data_time: 0.0219 memory: 19925 grad_norm: 4.0324 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8563 loss: 0.8563 2022/08/11 07:45:31 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 2.0000e-03 eta: 6:59:41 time: 0.8770 data_time: 0.0168 memory: 19925 grad_norm: 4.0675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8813 loss: 0.8813 2022/08/11 07:45:49 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 2.0000e-03 eta: 6:59:24 time: 0.8799 data_time: 0.0169 memory: 19925 grad_norm: 3.8897 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9344 loss: 0.9344 2022/08/11 07:46:06 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 2.0000e-03 eta: 6:59:06 time: 0.8387 data_time: 0.0168 memory: 19925 grad_norm: 4.0582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0103 loss: 1.0103 2022/08/11 07:46:22 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 2.0000e-03 eta: 6:58:49 time: 0.8400 data_time: 0.0178 memory: 19925 grad_norm: 4.0331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9325 loss: 0.9325 2022/08/11 07:46:39 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 2.0000e-03 eta: 6:58:32 time: 0.8483 data_time: 0.0205 memory: 19925 grad_norm: 4.1272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8600 loss: 0.8600 2022/08/11 07:46:56 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 2.0000e-03 eta: 6:58:14 time: 0.8432 data_time: 0.0166 memory: 19925 grad_norm: 4.0175 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7912 loss: 0.7912 2022/08/11 07:47:13 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 2.0000e-03 eta: 6:57:57 time: 0.8474 data_time: 0.0177 memory: 19925 grad_norm: 4.1057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0749 loss: 1.0749 2022/08/11 07:47:33 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 2.0000e-03 eta: 6:57:41 time: 0.9892 data_time: 0.0177 memory: 19925 grad_norm: 4.0196 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0714 loss: 1.0714 2022/08/11 07:47:54 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 2.0000e-03 eta: 6:57:26 time: 1.0425 data_time: 0.0195 memory: 19925 grad_norm: 3.9455 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9936 loss: 0.9936 2022/08/11 07:48:11 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 2.0000e-03 eta: 6:57:08 time: 0.8406 data_time: 0.0160 memory: 19925 grad_norm: 4.0063 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9295 loss: 0.9295 2022/08/11 07:48:27 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 2.0000e-03 eta: 6:56:51 time: 0.8408 data_time: 0.0193 memory: 19925 grad_norm: 4.0958 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1291 loss: 1.1291 2022/08/11 07:48:44 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 2.0000e-03 eta: 6:56:34 time: 0.8484 data_time: 0.0247 memory: 19925 grad_norm: 3.9654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/11 07:49:01 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 2.0000e-03 eta: 6:56:16 time: 0.8350 data_time: 0.0166 memory: 19925 grad_norm: 4.2214 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9452 loss: 0.9452 2022/08/11 07:49:18 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 2.0000e-03 eta: 6:55:59 time: 0.8350 data_time: 0.0166 memory: 19925 grad_norm: 4.0187 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7899 loss: 0.7899 2022/08/11 07:49:35 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 2.0000e-03 eta: 6:55:41 time: 0.8358 data_time: 0.0171 memory: 19925 grad_norm: 3.9998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/08/11 07:49:51 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 2.0000e-03 eta: 6:55:24 time: 0.8366 data_time: 0.0169 memory: 19925 grad_norm: 4.0407 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9969 loss: 0.9969 2022/08/11 07:50:08 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 2.0000e-03 eta: 6:55:07 time: 0.8451 data_time: 0.0171 memory: 19925 grad_norm: 4.0615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/08/11 07:50:25 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 2.0000e-03 eta: 6:54:50 time: 0.8550 data_time: 0.0377 memory: 19925 grad_norm: 4.0089 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9770 loss: 0.9770 2022/08/11 07:50:42 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 2.0000e-03 eta: 6:54:32 time: 0.8399 data_time: 0.0179 memory: 19925 grad_norm: 4.0240 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8370 loss: 0.8370 2022/08/11 07:50:54 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 07:50:59 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 2.0000e-03 eta: 6:54:15 time: 0.8332 data_time: 0.0175 memory: 19925 grad_norm: 3.9608 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8939 loss: 0.8939 2022/08/11 07:51:16 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 2.0000e-03 eta: 6:53:57 time: 0.8362 data_time: 0.0174 memory: 19925 grad_norm: 4.0523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/08/11 07:51:32 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 2.0000e-03 eta: 6:53:40 time: 0.8373 data_time: 0.0172 memory: 19925 grad_norm: 4.0742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/08/11 07:51:49 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 2.0000e-03 eta: 6:53:23 time: 0.8423 data_time: 0.0174 memory: 19925 grad_norm: 4.1567 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9623 loss: 0.9623 2022/08/11 07:52:06 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 2.0000e-03 eta: 6:53:05 time: 0.8368 data_time: 0.0172 memory: 19925 grad_norm: 4.0363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/08/11 07:52:23 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 2.0000e-03 eta: 6:52:48 time: 0.8349 data_time: 0.0172 memory: 19925 grad_norm: 4.0014 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8592 loss: 0.8592 2022/08/11 07:52:39 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 2.0000e-03 eta: 6:52:31 time: 0.8403 data_time: 0.0156 memory: 19925 grad_norm: 3.9239 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9039 loss: 0.9039 2022/08/11 07:52:56 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 2.0000e-03 eta: 6:52:13 time: 0.8397 data_time: 0.0188 memory: 19925 grad_norm: 4.1822 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8057 loss: 0.8057 2022/08/11 07:53:13 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 2.0000e-03 eta: 6:51:56 time: 0.8447 data_time: 0.0253 memory: 19925 grad_norm: 4.0993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9888 loss: 0.9888 2022/08/11 07:53:30 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 2.0000e-03 eta: 6:51:39 time: 0.8354 data_time: 0.0178 memory: 19925 grad_norm: 4.0771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/08/11 07:53:47 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 2.0000e-03 eta: 6:51:21 time: 0.8403 data_time: 0.0248 memory: 19925 grad_norm: 3.9751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/08/11 07:54:03 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 2.0000e-03 eta: 6:51:04 time: 0.8326 data_time: 0.0183 memory: 19925 grad_norm: 4.2078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1469 loss: 1.1469 2022/08/11 07:54:20 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 2.0000e-03 eta: 6:50:47 time: 0.8374 data_time: 0.0164 memory: 19925 grad_norm: 4.1156 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0254 loss: 1.0254 2022/08/11 07:54:37 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 2.0000e-03 eta: 6:50:29 time: 0.8366 data_time: 0.0196 memory: 19925 grad_norm: 4.0676 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8262 loss: 0.8262 2022/08/11 07:54:54 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 2.0000e-03 eta: 6:50:12 time: 0.8447 data_time: 0.0150 memory: 19925 grad_norm: 4.1570 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9693 loss: 0.9693 2022/08/11 07:55:11 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 2.0000e-03 eta: 6:49:55 time: 0.8442 data_time: 0.0189 memory: 19925 grad_norm: 4.0621 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7899 loss: 0.7899 2022/08/11 07:55:29 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 2.0000e-03 eta: 6:49:38 time: 0.9158 data_time: 0.0186 memory: 19925 grad_norm: 4.0850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9600 loss: 0.9600 2022/08/11 07:55:46 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 2.0000e-03 eta: 6:49:21 time: 0.8348 data_time: 0.0173 memory: 19925 grad_norm: 4.0471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9075 loss: 0.9075 2022/08/11 07:56:06 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 2.0000e-03 eta: 6:49:05 time: 1.0175 data_time: 0.0170 memory: 19925 grad_norm: 4.0326 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8952 loss: 0.8952 2022/08/11 07:56:23 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 2.0000e-03 eta: 6:48:47 time: 0.8349 data_time: 0.0162 memory: 19925 grad_norm: 3.9989 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9966 loss: 0.9966 2022/08/11 07:56:39 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 2.0000e-03 eta: 6:48:30 time: 0.8387 data_time: 0.0179 memory: 19925 grad_norm: 3.9448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9115 loss: 0.9115 2022/08/11 07:56:56 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 2.0000e-03 eta: 6:48:13 time: 0.8352 data_time: 0.0178 memory: 19925 grad_norm: 4.0615 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/08/11 07:57:13 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 2.0000e-03 eta: 6:47:55 time: 0.8323 data_time: 0.0181 memory: 19925 grad_norm: 4.0695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9424 loss: 0.9424 2022/08/11 07:57:29 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 2.0000e-03 eta: 6:47:38 time: 0.8326 data_time: 0.0168 memory: 19925 grad_norm: 4.0755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9497 loss: 0.9497 2022/08/11 07:57:46 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 2.0000e-03 eta: 6:47:20 time: 0.8363 data_time: 0.0176 memory: 19925 grad_norm: 4.1265 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0151 loss: 1.0151 2022/08/11 07:58:04 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 2.0000e-03 eta: 6:47:04 time: 0.9102 data_time: 0.0200 memory: 19925 grad_norm: 4.0299 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9963 loss: 0.9963 2022/08/11 07:58:21 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 2.0000e-03 eta: 6:46:46 time: 0.8393 data_time: 0.0218 memory: 19925 grad_norm: 4.1494 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0312 loss: 1.0312 2022/08/11 07:58:38 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 2.0000e-03 eta: 6:46:29 time: 0.8389 data_time: 0.0245 memory: 19925 grad_norm: 4.0877 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9070 loss: 0.9070 2022/08/11 07:58:55 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 2.0000e-03 eta: 6:46:12 time: 0.8311 data_time: 0.0185 memory: 19925 grad_norm: 4.1190 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9164 loss: 0.9164 2022/08/11 07:59:11 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 2.0000e-03 eta: 6:45:54 time: 0.8338 data_time: 0.0193 memory: 19925 grad_norm: 4.0676 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0483 loss: 1.0483 2022/08/11 07:59:28 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 2.0000e-03 eta: 6:45:37 time: 0.8333 data_time: 0.0175 memory: 19925 grad_norm: 4.0130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/08/11 07:59:45 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 2.0000e-03 eta: 6:45:19 time: 0.8359 data_time: 0.0199 memory: 19925 grad_norm: 4.0740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8947 loss: 0.8947 2022/08/11 08:00:01 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 2.0000e-03 eta: 6:45:02 time: 0.8309 data_time: 0.0183 memory: 19925 grad_norm: 4.0920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/08/11 08:00:18 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 2.0000e-03 eta: 6:44:45 time: 0.8494 data_time: 0.0243 memory: 19925 grad_norm: 4.1874 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0355 loss: 1.0355 2022/08/11 08:00:36 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 2.0000e-03 eta: 6:44:28 time: 0.8817 data_time: 0.0167 memory: 19925 grad_norm: 4.0046 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0217 loss: 1.0217 2022/08/11 08:00:53 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 2.0000e-03 eta: 6:44:10 time: 0.8334 data_time: 0.0172 memory: 19925 grad_norm: 4.0606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0112 loss: 1.0112 2022/08/11 08:01:09 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 2.0000e-03 eta: 6:43:53 time: 0.8405 data_time: 0.0196 memory: 19925 grad_norm: 4.0581 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/08/11 08:01:26 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 2.0000e-03 eta: 6:43:36 time: 0.8312 data_time: 0.0183 memory: 19925 grad_norm: 4.0702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8397 loss: 0.8397 2022/08/11 08:01:41 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:01:41 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 2.0000e-03 eta: 6:43:36 time: 0.8082 data_time: 0.0137 memory: 19925 grad_norm: 4.1191 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/08/11 08:01:57 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:01:45 time: 0.7814 data_time: 0.5466 memory: 2570 2022/08/11 08:02:05 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:45 time: 0.3978 data_time: 0.1659 memory: 2570 2022/08/11 08:02:16 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:53 time: 0.5657 data_time: 0.3350 memory: 2570 2022/08/11 08:02:29 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:46 time: 0.6231 data_time: 0.3928 memory: 2570 2022/08/11 08:02:39 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:28 time: 0.5105 data_time: 0.2782 memory: 2570 2022/08/11 08:02:52 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:22 time: 0.6450 data_time: 0.4133 memory: 2570 2022/08/11 08:03:05 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:09 time: 0.6432 data_time: 0.4094 memory: 2570 2022/08/11 08:03:23 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.7102 acc/top5: 0.8998 acc/mean1: 0.7101 2022/08/11 08:03:46 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 2.0000e-03 eta: 6:42:58 time: 1.1728 data_time: 0.1782 memory: 19925 grad_norm: 3.9436 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8830 loss: 0.8830 2022/08/11 08:04:03 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 2.0000e-03 eta: 6:42:41 time: 0.8439 data_time: 0.0281 memory: 19925 grad_norm: 4.1050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/11 08:04:20 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 2.0000e-03 eta: 6:42:23 time: 0.8450 data_time: 0.0241 memory: 19925 grad_norm: 3.9777 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8951 loss: 0.8951 2022/08/11 08:04:37 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 2.0000e-03 eta: 6:42:06 time: 0.8351 data_time: 0.0171 memory: 19925 grad_norm: 4.0697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9437 loss: 0.9437 2022/08/11 08:04:54 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 2.0000e-03 eta: 6:41:49 time: 0.8367 data_time: 0.0170 memory: 19925 grad_norm: 4.0618 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9767 loss: 0.9767 2022/08/11 08:05:10 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 2.0000e-03 eta: 6:41:31 time: 0.8398 data_time: 0.0191 memory: 19925 grad_norm: 3.8821 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9677 loss: 0.9677 2022/08/11 08:05:27 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 2.0000e-03 eta: 6:41:14 time: 0.8346 data_time: 0.0191 memory: 19925 grad_norm: 3.8006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7550 loss: 0.7550 2022/08/11 08:05:44 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 2.0000e-03 eta: 6:40:57 time: 0.8324 data_time: 0.0161 memory: 19925 grad_norm: 3.9713 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0732 loss: 1.0732 2022/08/11 08:06:01 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 2.0000e-03 eta: 6:40:39 time: 0.8357 data_time: 0.0173 memory: 19925 grad_norm: 4.0051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8652 loss: 0.8652 2022/08/11 08:06:17 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 2.0000e-03 eta: 6:40:22 time: 0.8311 data_time: 0.0186 memory: 19925 grad_norm: 3.9569 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0137 loss: 1.0137 2022/08/11 08:06:34 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 2.0000e-03 eta: 6:40:04 time: 0.8338 data_time: 0.0190 memory: 19925 grad_norm: 4.0586 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9895 loss: 0.9895 2022/08/11 08:06:46 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:06:50 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 2.0000e-03 eta: 6:39:47 time: 0.8331 data_time: 0.0176 memory: 19925 grad_norm: 4.0715 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/08/11 08:07:07 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 2.0000e-03 eta: 6:39:30 time: 0.8467 data_time: 0.0196 memory: 19925 grad_norm: 3.9375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8580 loss: 0.8580 2022/08/11 08:07:24 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 2.0000e-03 eta: 6:39:13 time: 0.8506 data_time: 0.0289 memory: 19925 grad_norm: 4.0254 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0992 loss: 1.0992 2022/08/11 08:07:41 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 2.0000e-03 eta: 6:38:55 time: 0.8356 data_time: 0.0169 memory: 19925 grad_norm: 4.0122 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7923 loss: 0.7923 2022/08/11 08:08:00 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 2.0000e-03 eta: 6:38:39 time: 0.9294 data_time: 0.0214 memory: 19925 grad_norm: 4.0361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/08/11 08:08:16 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 2.0000e-03 eta: 6:38:21 time: 0.8322 data_time: 0.0140 memory: 19925 grad_norm: 4.0651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0091 loss: 1.0091 2022/08/11 08:08:33 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 2.0000e-03 eta: 6:38:04 time: 0.8366 data_time: 0.0162 memory: 19925 grad_norm: 4.0712 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9148 loss: 0.9148 2022/08/11 08:08:50 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 2.0000e-03 eta: 6:37:47 time: 0.8442 data_time: 0.0171 memory: 19925 grad_norm: 3.9765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/08/11 08:09:07 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 2.0000e-03 eta: 6:37:29 time: 0.8403 data_time: 0.0175 memory: 19925 grad_norm: 4.0625 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9448 loss: 0.9448 2022/08/11 08:09:24 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 2.0000e-03 eta: 6:37:12 time: 0.8409 data_time: 0.0179 memory: 19925 grad_norm: 4.0505 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8773 loss: 0.8773 2022/08/11 08:09:40 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 2.0000e-03 eta: 6:36:55 time: 0.8393 data_time: 0.0171 memory: 19925 grad_norm: 4.0817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0409 loss: 1.0409 2022/08/11 08:09:57 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 2.0000e-03 eta: 6:36:37 time: 0.8322 data_time: 0.0175 memory: 19925 grad_norm: 4.1283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8727 loss: 0.8727 2022/08/11 08:10:14 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 2.0000e-03 eta: 6:36:20 time: 0.8382 data_time: 0.0206 memory: 19925 grad_norm: 3.9397 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0719 loss: 1.0719 2022/08/11 08:10:31 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 2.0000e-03 eta: 6:36:03 time: 0.8394 data_time: 0.0174 memory: 19925 grad_norm: 4.0107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/11 08:10:47 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 2.0000e-03 eta: 6:35:45 time: 0.8366 data_time: 0.0181 memory: 19925 grad_norm: 4.1469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7836 loss: 0.7836 2022/08/11 08:11:04 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 2.0000e-03 eta: 6:35:28 time: 0.8407 data_time: 0.0178 memory: 19925 grad_norm: 3.9474 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9414 loss: 0.9414 2022/08/11 08:11:21 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 2.0000e-03 eta: 6:35:11 time: 0.8412 data_time: 0.0164 memory: 19925 grad_norm: 3.9656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/08/11 08:11:38 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 2.0000e-03 eta: 6:34:53 time: 0.8369 data_time: 0.0182 memory: 19925 grad_norm: 3.9899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1074 loss: 1.1074 2022/08/11 08:11:55 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 2.0000e-03 eta: 6:34:36 time: 0.8345 data_time: 0.0161 memory: 19925 grad_norm: 3.9344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8770 loss: 0.8770 2022/08/11 08:12:11 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 2.0000e-03 eta: 6:34:19 time: 0.8340 data_time: 0.0170 memory: 19925 grad_norm: 3.9872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8643 loss: 0.8643 2022/08/11 08:12:28 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 2.0000e-03 eta: 6:34:01 time: 0.8351 data_time: 0.0181 memory: 19925 grad_norm: 3.9442 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/08/11 08:12:45 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 2.0000e-03 eta: 6:33:44 time: 0.8362 data_time: 0.0169 memory: 19925 grad_norm: 4.1399 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9432 loss: 0.9432 2022/08/11 08:13:02 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 2.0000e-03 eta: 6:33:27 time: 0.8417 data_time: 0.0165 memory: 19925 grad_norm: 4.0949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9800 loss: 0.9800 2022/08/11 08:13:18 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 2.0000e-03 eta: 6:33:09 time: 0.8371 data_time: 0.0167 memory: 19925 grad_norm: 4.0853 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9598 loss: 0.9598 2022/08/11 08:13:35 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 2.0000e-03 eta: 6:32:52 time: 0.8336 data_time: 0.0159 memory: 19925 grad_norm: 3.9517 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7443 loss: 0.7443 2022/08/11 08:13:52 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 2.0000e-03 eta: 6:32:34 time: 0.8333 data_time: 0.0177 memory: 19925 grad_norm: 3.9944 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9617 loss: 0.9617 2022/08/11 08:14:08 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 2.0000e-03 eta: 6:32:17 time: 0.8317 data_time: 0.0192 memory: 19925 grad_norm: 4.1676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9605 loss: 0.9605 2022/08/11 08:14:25 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 2.0000e-03 eta: 6:32:00 time: 0.8315 data_time: 0.0196 memory: 19925 grad_norm: 4.1718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/08/11 08:14:42 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 2.0000e-03 eta: 6:31:42 time: 0.8346 data_time: 0.0165 memory: 19925 grad_norm: 4.0380 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/08/11 08:14:58 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 2.0000e-03 eta: 6:31:25 time: 0.8386 data_time: 0.0168 memory: 19925 grad_norm: 4.0791 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8838 loss: 0.8838 2022/08/11 08:15:15 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 2.0000e-03 eta: 6:31:08 time: 0.8439 data_time: 0.0212 memory: 19925 grad_norm: 4.1356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9064 loss: 0.9064 2022/08/11 08:15:32 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 2.0000e-03 eta: 6:30:50 time: 0.8374 data_time: 0.0171 memory: 19925 grad_norm: 4.2062 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9915 loss: 0.9915 2022/08/11 08:15:49 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 2.0000e-03 eta: 6:30:33 time: 0.8312 data_time: 0.0183 memory: 19925 grad_norm: 3.9550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9646 loss: 0.9646 2022/08/11 08:16:05 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 2.0000e-03 eta: 6:30:16 time: 0.8338 data_time: 0.0180 memory: 19925 grad_norm: 4.1703 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9527 loss: 0.9527 2022/08/11 08:16:22 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 2.0000e-03 eta: 6:29:58 time: 0.8296 data_time: 0.0177 memory: 19925 grad_norm: 3.9637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8626 loss: 0.8626 2022/08/11 08:16:39 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 2.0000e-03 eta: 6:29:41 time: 0.8430 data_time: 0.0179 memory: 19925 grad_norm: 4.0482 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9423 loss: 0.9423 2022/08/11 08:16:55 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 2.0000e-03 eta: 6:29:24 time: 0.8329 data_time: 0.0174 memory: 19925 grad_norm: 4.0307 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8415 loss: 0.8415 2022/08/11 08:17:12 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 2.0000e-03 eta: 6:29:06 time: 0.8339 data_time: 0.0173 memory: 19925 grad_norm: 4.0458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9828 loss: 0.9828 2022/08/11 08:17:29 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 2.0000e-03 eta: 6:28:49 time: 0.8371 data_time: 0.0182 memory: 19925 grad_norm: 4.1289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9643 loss: 0.9643 2022/08/11 08:17:45 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 2.0000e-03 eta: 6:28:31 time: 0.8298 data_time: 0.0170 memory: 19925 grad_norm: 3.9651 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0171 loss: 1.0171 2022/08/11 08:18:03 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 2.0000e-03 eta: 6:28:15 time: 0.8908 data_time: 0.0170 memory: 19925 grad_norm: 4.0086 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8215 loss: 0.8215 2022/08/11 08:18:20 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 2.0000e-03 eta: 6:27:57 time: 0.8299 data_time: 0.0193 memory: 19925 grad_norm: 4.0840 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/08/11 08:18:37 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 2.0000e-03 eta: 6:27:40 time: 0.8283 data_time: 0.0182 memory: 19925 grad_norm: 4.0791 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8194 loss: 0.8194 2022/08/11 08:18:53 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 2.0000e-03 eta: 6:27:22 time: 0.8316 data_time: 0.0180 memory: 19925 grad_norm: 4.1418 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0462 loss: 1.0462 2022/08/11 08:19:10 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 2.0000e-03 eta: 6:27:05 time: 0.8353 data_time: 0.0187 memory: 19925 grad_norm: 4.0455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/08/11 08:19:27 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 2.0000e-03 eta: 6:26:48 time: 0.8417 data_time: 0.0307 memory: 19925 grad_norm: 4.1039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/08/11 08:19:43 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 2.0000e-03 eta: 6:26:30 time: 0.8334 data_time: 0.0163 memory: 19925 grad_norm: 4.1033 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0385 loss: 1.0385 2022/08/11 08:20:00 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 2.0000e-03 eta: 6:26:13 time: 0.8310 data_time: 0.0194 memory: 19925 grad_norm: 4.0944 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8741 loss: 0.8741 2022/08/11 08:20:17 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 2.0000e-03 eta: 6:25:56 time: 0.8282 data_time: 0.0179 memory: 19925 grad_norm: 4.1862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9647 loss: 0.9647 2022/08/11 08:20:33 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 2.0000e-03 eta: 6:25:38 time: 0.8355 data_time: 0.0205 memory: 19925 grad_norm: 4.1763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9664 loss: 0.9664 2022/08/11 08:20:46 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:20:50 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 2.0000e-03 eta: 6:25:21 time: 0.8342 data_time: 0.0196 memory: 19925 grad_norm: 3.9801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9957 loss: 0.9957 2022/08/11 08:21:07 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 2.0000e-03 eta: 6:25:04 time: 0.8339 data_time: 0.0191 memory: 19925 grad_norm: 4.3341 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0220 loss: 1.0220 2022/08/11 08:21:23 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 2.0000e-03 eta: 6:24:46 time: 0.8338 data_time: 0.0176 memory: 19925 grad_norm: 4.1509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8728 loss: 0.8728 2022/08/11 08:21:40 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 2.0000e-03 eta: 6:24:29 time: 0.8286 data_time: 0.0177 memory: 19925 grad_norm: 4.0488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/11 08:21:57 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 2.0000e-03 eta: 6:24:11 time: 0.8315 data_time: 0.0190 memory: 19925 grad_norm: 4.1666 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0681 loss: 1.0681 2022/08/11 08:22:13 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 2.0000e-03 eta: 6:23:54 time: 0.8298 data_time: 0.0184 memory: 19925 grad_norm: 4.0646 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0017 loss: 1.0017 2022/08/11 08:22:30 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 2.0000e-03 eta: 6:23:37 time: 0.8324 data_time: 0.0178 memory: 19925 grad_norm: 4.0163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0389 loss: 1.0389 2022/08/11 08:22:46 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 2.0000e-03 eta: 6:23:19 time: 0.8327 data_time: 0.0177 memory: 19925 grad_norm: 4.1118 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8646 loss: 0.8646 2022/08/11 08:23:03 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 2.0000e-03 eta: 6:23:02 time: 0.8301 data_time: 0.0170 memory: 19925 grad_norm: 4.1012 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8267 loss: 0.8267 2022/08/11 08:23:20 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 2.0000e-03 eta: 6:22:45 time: 0.8416 data_time: 0.0182 memory: 19925 grad_norm: 4.2201 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1058 loss: 1.1058 2022/08/11 08:23:37 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 2.0000e-03 eta: 6:22:27 time: 0.8363 data_time: 0.0173 memory: 19925 grad_norm: 4.1784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9590 loss: 0.9590 2022/08/11 08:23:53 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 2.0000e-03 eta: 6:22:10 time: 0.8352 data_time: 0.0177 memory: 19925 grad_norm: 4.1050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/08/11 08:24:10 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 2.0000e-03 eta: 6:21:53 time: 0.8329 data_time: 0.0180 memory: 19925 grad_norm: 4.0251 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/11 08:24:27 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 2.0000e-03 eta: 6:21:35 time: 0.8396 data_time: 0.0172 memory: 19925 grad_norm: 4.1701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0357 loss: 1.0357 2022/08/11 08:24:44 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 2.0000e-03 eta: 6:21:18 time: 0.8424 data_time: 0.0180 memory: 19925 grad_norm: 4.0003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/08/11 08:25:00 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 2.0000e-03 eta: 6:21:01 time: 0.8311 data_time: 0.0168 memory: 19925 grad_norm: 4.0429 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9145 loss: 0.9145 2022/08/11 08:25:17 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 2.0000e-03 eta: 6:20:43 time: 0.8362 data_time: 0.0194 memory: 19925 grad_norm: 3.9924 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8924 loss: 0.8924 2022/08/11 08:25:34 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 2.0000e-03 eta: 6:20:26 time: 0.8359 data_time: 0.0177 memory: 19925 grad_norm: 4.1994 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1902 loss: 1.1902 2022/08/11 08:25:51 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 2.0000e-03 eta: 6:20:09 time: 0.8358 data_time: 0.0182 memory: 19925 grad_norm: 4.2122 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9579 loss: 0.9579 2022/08/11 08:26:07 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 2.0000e-03 eta: 6:19:51 time: 0.8345 data_time: 0.0183 memory: 19925 grad_norm: 3.9871 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7755 loss: 0.7755 2022/08/11 08:26:24 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 2.0000e-03 eta: 6:19:34 time: 0.8335 data_time: 0.0181 memory: 19925 grad_norm: 4.0369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9419 loss: 0.9419 2022/08/11 08:26:41 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 2.0000e-03 eta: 6:19:17 time: 0.8336 data_time: 0.0184 memory: 19925 grad_norm: 4.0610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8906 loss: 0.8906 2022/08/11 08:26:57 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 2.0000e-03 eta: 6:18:59 time: 0.8374 data_time: 0.0188 memory: 19925 grad_norm: 4.0390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7305 loss: 0.7305 2022/08/11 08:27:14 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 2.0000e-03 eta: 6:18:42 time: 0.8330 data_time: 0.0206 memory: 19925 grad_norm: 3.9507 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/08/11 08:27:31 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 2.0000e-03 eta: 6:18:25 time: 0.8374 data_time: 0.0176 memory: 19925 grad_norm: 4.0816 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9919 loss: 0.9919 2022/08/11 08:27:47 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 2.0000e-03 eta: 6:18:07 time: 0.8321 data_time: 0.0174 memory: 19925 grad_norm: 3.9984 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9547 loss: 0.9547 2022/08/11 08:28:06 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 2.0000e-03 eta: 6:17:51 time: 0.9383 data_time: 0.0185 memory: 19925 grad_norm: 4.0536 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0349 loss: 1.0349 2022/08/11 08:28:23 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 2.0000e-03 eta: 6:17:33 time: 0.8372 data_time: 0.0188 memory: 19925 grad_norm: 4.1602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/08/11 08:28:40 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 2.0000e-03 eta: 6:17:16 time: 0.8337 data_time: 0.0192 memory: 19925 grad_norm: 4.1599 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/11 08:28:56 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 2.0000e-03 eta: 6:16:59 time: 0.8305 data_time: 0.0187 memory: 19925 grad_norm: 3.9990 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/08/11 08:29:13 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 2.0000e-03 eta: 6:16:41 time: 0.8329 data_time: 0.0175 memory: 19925 grad_norm: 4.0661 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0031 loss: 1.0031 2022/08/11 08:29:30 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 2.0000e-03 eta: 6:16:24 time: 0.8352 data_time: 0.0202 memory: 19925 grad_norm: 4.0205 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7797 loss: 0.7797 2022/08/11 08:29:45 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:29:45 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 2.0000e-03 eta: 6:16:24 time: 0.8091 data_time: 0.0132 memory: 19925 grad_norm: 4.1776 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0708 loss: 1.0708 2022/08/11 08:29:45 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/11 08:30:02 - mmengine - INFO - Epoch(val) [36][20/155] eta: 0:01:42 time: 0.7593 data_time: 0.5262 memory: 2570 2022/08/11 08:30:16 - mmengine - INFO - Epoch(val) [36][40/155] eta: 0:01:16 time: 0.6642 data_time: 0.4316 memory: 2570 2022/08/11 08:30:28 - mmengine - INFO - Epoch(val) [36][60/155] eta: 0:00:58 time: 0.6122 data_time: 0.3822 memory: 2570 2022/08/11 08:30:44 - mmengine - INFO - Epoch(val) [36][80/155] eta: 0:01:00 time: 0.8093 data_time: 0.5786 memory: 2570 2022/08/11 08:30:55 - mmengine - INFO - Epoch(val) [36][100/155] eta: 0:00:29 time: 0.5285 data_time: 0.2980 memory: 2570 2022/08/11 08:31:11 - mmengine - INFO - Epoch(val) [36][120/155] eta: 0:00:28 time: 0.8258 data_time: 0.5975 memory: 2570 2022/08/11 08:31:18 - mmengine - INFO - Epoch(val) [36][140/155] eta: 0:00:05 time: 0.3716 data_time: 0.1423 memory: 2570 2022/08/11 08:31:36 - mmengine - INFO - Epoch(val) [36][155/155] acc/top1: 0.7113 acc/top5: 0.9017 acc/mean1: 0.7112 2022/08/11 08:31:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_35.pth is removed 2022/08/11 08:31:38 - mmengine - INFO - The best checkpoint with 0.7113 acc/top1 at 37 epoch is saved to best_acc/top1_epoch_37.pth. 2022/08/11 08:32:01 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 2.0000e-03 eta: 6:15:46 time: 1.1472 data_time: 0.2919 memory: 19925 grad_norm: 4.0889 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0529 loss: 1.0529 2022/08/11 08:32:18 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 2.0000e-03 eta: 6:15:29 time: 0.8305 data_time: 0.0170 memory: 19925 grad_norm: 4.0745 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/11 08:32:35 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 2.0000e-03 eta: 6:15:12 time: 0.8303 data_time: 0.0173 memory: 19925 grad_norm: 3.9590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7930 loss: 0.7930 2022/08/11 08:32:51 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 2.0000e-03 eta: 6:14:54 time: 0.8333 data_time: 0.0183 memory: 19925 grad_norm: 4.1142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9279 loss: 0.9279 2022/08/11 08:33:08 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 2.0000e-03 eta: 6:14:37 time: 0.8273 data_time: 0.0194 memory: 19925 grad_norm: 4.0334 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9436 loss: 0.9436 2022/08/11 08:33:24 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 2.0000e-03 eta: 6:14:20 time: 0.8343 data_time: 0.0177 memory: 19925 grad_norm: 3.9569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9150 loss: 0.9150 2022/08/11 08:33:41 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 2.0000e-03 eta: 6:14:02 time: 0.8361 data_time: 0.0197 memory: 19925 grad_norm: 4.1388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8921 loss: 0.8921 2022/08/11 08:33:58 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 2.0000e-03 eta: 6:13:45 time: 0.8290 data_time: 0.0170 memory: 19925 grad_norm: 4.0407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0191 loss: 1.0191 2022/08/11 08:34:15 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 2.0000e-03 eta: 6:13:28 time: 0.8374 data_time: 0.0183 memory: 19925 grad_norm: 4.0443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9944 loss: 0.9944 2022/08/11 08:34:31 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 2.0000e-03 eta: 6:13:10 time: 0.8332 data_time: 0.0177 memory: 19925 grad_norm: 4.1220 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9253 loss: 0.9253 2022/08/11 08:34:48 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 2.0000e-03 eta: 6:12:53 time: 0.8357 data_time: 0.0187 memory: 19925 grad_norm: 4.0502 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/11 08:35:05 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 2.0000e-03 eta: 6:12:36 time: 0.8359 data_time: 0.0169 memory: 19925 grad_norm: 4.1008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9394 loss: 0.9394 2022/08/11 08:35:23 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 2.0000e-03 eta: 6:12:19 time: 0.9075 data_time: 0.0365 memory: 19925 grad_norm: 4.1617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0294 loss: 1.0294 2022/08/11 08:35:39 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 2.0000e-03 eta: 6:12:01 time: 0.8331 data_time: 0.0161 memory: 19925 grad_norm: 4.1523 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/08/11 08:35:56 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 2.0000e-03 eta: 6:11:44 time: 0.8305 data_time: 0.0202 memory: 19925 grad_norm: 4.0740 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9987 loss: 0.9987 2022/08/11 08:36:13 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 2.0000e-03 eta: 6:11:27 time: 0.8348 data_time: 0.0164 memory: 19925 grad_norm: 4.0381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/08/11 08:36:29 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 2.0000e-03 eta: 6:11:09 time: 0.8290 data_time: 0.0176 memory: 19925 grad_norm: 4.0997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8172 loss: 0.8172 2022/08/11 08:36:43 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:36:46 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 2.0000e-03 eta: 6:10:52 time: 0.8370 data_time: 0.0176 memory: 19925 grad_norm: 4.0959 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/08/11 08:37:03 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 2.0000e-03 eta: 6:10:35 time: 0.8416 data_time: 0.0237 memory: 19925 grad_norm: 4.1078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9248 loss: 0.9248 2022/08/11 08:37:20 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 2.0000e-03 eta: 6:10:18 time: 0.8323 data_time: 0.0161 memory: 19925 grad_norm: 4.2087 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9692 loss: 0.9692 2022/08/11 08:37:36 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 2.0000e-03 eta: 6:10:00 time: 0.8329 data_time: 0.0202 memory: 19925 grad_norm: 4.0407 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9315 loss: 0.9315 2022/08/11 08:37:54 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 2.0000e-03 eta: 6:09:43 time: 0.9054 data_time: 0.0230 memory: 19925 grad_norm: 4.1077 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8640 loss: 0.8640 2022/08/11 08:38:11 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 2.0000e-03 eta: 6:09:26 time: 0.8366 data_time: 0.0171 memory: 19925 grad_norm: 4.0903 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8107 loss: 0.8107 2022/08/11 08:38:28 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 2.0000e-03 eta: 6:09:09 time: 0.8304 data_time: 0.0173 memory: 19925 grad_norm: 4.1728 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/11 08:38:45 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 2.0000e-03 eta: 6:08:51 time: 0.8384 data_time: 0.0190 memory: 19925 grad_norm: 4.0363 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9314 loss: 0.9314 2022/08/11 08:39:01 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 2.0000e-03 eta: 6:08:34 time: 0.8356 data_time: 0.0180 memory: 19925 grad_norm: 4.1285 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/08/11 08:39:18 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 2.0000e-03 eta: 6:08:17 time: 0.8291 data_time: 0.0187 memory: 19925 grad_norm: 4.0271 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0186 loss: 1.0186 2022/08/11 08:39:34 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 2.0000e-03 eta: 6:07:59 time: 0.8297 data_time: 0.0197 memory: 19925 grad_norm: 4.1437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/08/11 08:39:51 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 2.0000e-03 eta: 6:07:42 time: 0.8318 data_time: 0.0188 memory: 19925 grad_norm: 4.1646 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/11 08:40:08 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 2.0000e-03 eta: 6:07:25 time: 0.8333 data_time: 0.0188 memory: 19925 grad_norm: 4.2069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9314 loss: 0.9314 2022/08/11 08:40:25 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 2.0000e-03 eta: 6:07:08 time: 0.8694 data_time: 0.0502 memory: 19925 grad_norm: 4.2306 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1709 loss: 1.1709 2022/08/11 08:40:42 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 2.0000e-03 eta: 6:06:50 time: 0.8363 data_time: 0.0187 memory: 19925 grad_norm: 4.1375 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0122 loss: 1.0122 2022/08/11 08:40:59 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 2.0000e-03 eta: 6:06:33 time: 0.8349 data_time: 0.0168 memory: 19925 grad_norm: 4.1527 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1024 loss: 1.1024 2022/08/11 08:41:15 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 2.0000e-03 eta: 6:06:16 time: 0.8348 data_time: 0.0172 memory: 19925 grad_norm: 4.1631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0269 loss: 1.0269 2022/08/11 08:41:32 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 2.0000e-03 eta: 6:05:58 time: 0.8325 data_time: 0.0191 memory: 19925 grad_norm: 4.1355 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9798 loss: 0.9798 2022/08/11 08:41:49 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 2.0000e-03 eta: 6:05:41 time: 0.8298 data_time: 0.0187 memory: 19925 grad_norm: 4.0691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/11 08:42:05 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 2.0000e-03 eta: 6:05:24 time: 0.8316 data_time: 0.0212 memory: 19925 grad_norm: 3.9680 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9026 loss: 0.9026 2022/08/11 08:42:22 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 2.0000e-03 eta: 6:05:06 time: 0.8307 data_time: 0.0190 memory: 19925 grad_norm: 4.2058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/11 08:42:38 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 2.0000e-03 eta: 6:04:49 time: 0.8292 data_time: 0.0164 memory: 19925 grad_norm: 4.0945 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/08/11 08:42:55 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 2.0000e-03 eta: 6:04:32 time: 0.8315 data_time: 0.0173 memory: 19925 grad_norm: 4.0830 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9911 loss: 0.9911 2022/08/11 08:43:12 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 2.0000e-03 eta: 6:04:14 time: 0.8328 data_time: 0.0177 memory: 19925 grad_norm: 4.0576 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/08/11 08:43:28 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 2.0000e-03 eta: 6:03:57 time: 0.8332 data_time: 0.0198 memory: 19925 grad_norm: 4.0524 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9666 loss: 0.9666 2022/08/11 08:43:45 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 2.0000e-03 eta: 6:03:40 time: 0.8343 data_time: 0.0167 memory: 19925 grad_norm: 4.1402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0207 loss: 1.0207 2022/08/11 08:44:02 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 2.0000e-03 eta: 6:03:22 time: 0.8389 data_time: 0.0179 memory: 19925 grad_norm: 4.2088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0282 loss: 1.0282 2022/08/11 08:44:19 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 2.0000e-03 eta: 6:03:05 time: 0.8316 data_time: 0.0170 memory: 19925 grad_norm: 4.0716 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8703 loss: 0.8703 2022/08/11 08:44:35 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 2.0000e-03 eta: 6:02:48 time: 0.8354 data_time: 0.0177 memory: 19925 grad_norm: 4.1347 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/11 08:44:52 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 2.0000e-03 eta: 6:02:30 time: 0.8323 data_time: 0.0169 memory: 19925 grad_norm: 4.1196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/08/11 08:45:09 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 2.0000e-03 eta: 6:02:13 time: 0.8424 data_time: 0.0177 memory: 19925 grad_norm: 4.3473 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/08/11 08:45:26 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 2.0000e-03 eta: 6:01:56 time: 0.8556 data_time: 0.0283 memory: 19925 grad_norm: 4.0953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9129 loss: 0.9129 2022/08/11 08:45:43 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 2.0000e-03 eta: 6:01:39 time: 0.8390 data_time: 0.0169 memory: 19925 grad_norm: 4.3535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/08/11 08:45:59 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 2.0000e-03 eta: 6:01:21 time: 0.8318 data_time: 0.0171 memory: 19925 grad_norm: 4.0915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9021 loss: 0.9021 2022/08/11 08:46:16 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 2.0000e-03 eta: 6:01:04 time: 0.8371 data_time: 0.0238 memory: 19925 grad_norm: 4.0647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8696 loss: 0.8696 2022/08/11 08:46:33 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 2.0000e-03 eta: 6:00:47 time: 0.8357 data_time: 0.0212 memory: 19925 grad_norm: 4.1571 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0228 loss: 1.0228 2022/08/11 08:46:49 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 2.0000e-03 eta: 6:00:29 time: 0.8333 data_time: 0.0176 memory: 19925 grad_norm: 4.0678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8581 loss: 0.8581 2022/08/11 08:47:06 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 2.0000e-03 eta: 6:00:12 time: 0.8407 data_time: 0.0188 memory: 19925 grad_norm: 4.1529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9798 loss: 0.9798 2022/08/11 08:47:23 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 2.0000e-03 eta: 5:59:55 time: 0.8340 data_time: 0.0191 memory: 19925 grad_norm: 4.0562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8194 loss: 0.8194 2022/08/11 08:47:40 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 2.0000e-03 eta: 5:59:37 time: 0.8322 data_time: 0.0198 memory: 19925 grad_norm: 4.1253 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/08/11 08:47:58 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 2.0000e-03 eta: 5:59:21 time: 0.9267 data_time: 0.0159 memory: 19925 grad_norm: 4.2080 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9521 loss: 0.9521 2022/08/11 08:48:15 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 2.0000e-03 eta: 5:59:03 time: 0.8313 data_time: 0.0185 memory: 19925 grad_norm: 4.1639 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0522 loss: 1.0522 2022/08/11 08:48:31 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 2.0000e-03 eta: 5:58:46 time: 0.8309 data_time: 0.0182 memory: 19925 grad_norm: 4.0382 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8640 loss: 0.8640 2022/08/11 08:48:48 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 2.0000e-03 eta: 5:58:29 time: 0.8309 data_time: 0.0172 memory: 19925 grad_norm: 4.0815 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/08/11 08:49:05 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 2.0000e-03 eta: 5:58:11 time: 0.8321 data_time: 0.0179 memory: 19925 grad_norm: 3.9239 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9702 loss: 0.9702 2022/08/11 08:49:21 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 2.0000e-03 eta: 5:57:54 time: 0.8330 data_time: 0.0185 memory: 19925 grad_norm: 4.1478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/08/11 08:49:38 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 2.0000e-03 eta: 5:57:37 time: 0.8325 data_time: 0.0190 memory: 19925 grad_norm: 4.1939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0284 loss: 1.0284 2022/08/11 08:49:55 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 2.0000e-03 eta: 5:57:19 time: 0.8332 data_time: 0.0179 memory: 19925 grad_norm: 4.1134 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9071 loss: 0.9071 2022/08/11 08:50:11 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 2.0000e-03 eta: 5:57:02 time: 0.8372 data_time: 0.0186 memory: 19925 grad_norm: 4.2450 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/08/11 08:50:28 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 2.0000e-03 eta: 5:56:45 time: 0.8342 data_time: 0.0193 memory: 19925 grad_norm: 4.1836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9600 loss: 0.9600 2022/08/11 08:50:41 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:50:45 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 2.0000e-03 eta: 5:56:27 time: 0.8310 data_time: 0.0160 memory: 19925 grad_norm: 4.0583 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/11 08:51:01 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 2.0000e-03 eta: 5:56:10 time: 0.8345 data_time: 0.0197 memory: 19925 grad_norm: 4.0407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/08/11 08:51:18 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 2.0000e-03 eta: 5:55:53 time: 0.8324 data_time: 0.0160 memory: 19925 grad_norm: 4.2339 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9062 loss: 0.9062 2022/08/11 08:51:35 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 2.0000e-03 eta: 5:55:35 time: 0.8306 data_time: 0.0190 memory: 19925 grad_norm: 4.0209 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/11 08:51:51 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 2.0000e-03 eta: 5:55:18 time: 0.8343 data_time: 0.0167 memory: 19925 grad_norm: 4.0846 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0202 loss: 1.0202 2022/08/11 08:52:08 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 2.0000e-03 eta: 5:55:01 time: 0.8403 data_time: 0.0248 memory: 19925 grad_norm: 4.1786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/11 08:52:25 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 2.0000e-03 eta: 5:54:44 time: 0.8334 data_time: 0.0198 memory: 19925 grad_norm: 4.2407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/08/11 08:52:42 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 2.0000e-03 eta: 5:54:26 time: 0.8364 data_time: 0.0182 memory: 19925 grad_norm: 4.1987 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9144 loss: 0.9144 2022/08/11 08:52:58 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 2.0000e-03 eta: 5:54:09 time: 0.8288 data_time: 0.0174 memory: 19925 grad_norm: 4.2776 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8680 loss: 0.8680 2022/08/11 08:53:15 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 2.0000e-03 eta: 5:53:52 time: 0.8334 data_time: 0.0195 memory: 19925 grad_norm: 4.1548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9072 loss: 0.9072 2022/08/11 08:53:32 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 2.0000e-03 eta: 5:53:34 time: 0.8373 data_time: 0.0170 memory: 19925 grad_norm: 4.1210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8847 loss: 0.8847 2022/08/11 08:53:48 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 2.0000e-03 eta: 5:53:17 time: 0.8251 data_time: 0.0181 memory: 19925 grad_norm: 4.2656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9446 loss: 0.9446 2022/08/11 08:54:05 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 2.0000e-03 eta: 5:53:00 time: 0.8391 data_time: 0.0185 memory: 19925 grad_norm: 4.0351 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/11 08:54:22 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 2.0000e-03 eta: 5:52:42 time: 0.8283 data_time: 0.0180 memory: 19925 grad_norm: 4.1982 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9566 loss: 0.9566 2022/08/11 08:54:38 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 2.0000e-03 eta: 5:52:25 time: 0.8334 data_time: 0.0188 memory: 19925 grad_norm: 4.2421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9226 loss: 0.9226 2022/08/11 08:54:57 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 2.0000e-03 eta: 5:52:08 time: 0.9472 data_time: 0.0219 memory: 19925 grad_norm: 4.2651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/08/11 08:55:14 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 2.0000e-03 eta: 5:51:51 time: 0.8341 data_time: 0.0168 memory: 19925 grad_norm: 4.1715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/08/11 08:55:31 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 2.0000e-03 eta: 5:51:34 time: 0.8333 data_time: 0.0190 memory: 19925 grad_norm: 4.2405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/11 08:55:47 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 2.0000e-03 eta: 5:51:17 time: 0.8324 data_time: 0.0163 memory: 19925 grad_norm: 4.2675 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/11 08:56:04 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 2.0000e-03 eta: 5:50:59 time: 0.8400 data_time: 0.0180 memory: 19925 grad_norm: 4.1978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/08/11 08:56:21 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 2.0000e-03 eta: 5:50:42 time: 0.8419 data_time: 0.0229 memory: 19925 grad_norm: 4.1823 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/08/11 08:56:38 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 2.0000e-03 eta: 5:50:25 time: 0.8378 data_time: 0.0177 memory: 19925 grad_norm: 4.2808 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9964 loss: 0.9964 2022/08/11 08:56:54 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 2.0000e-03 eta: 5:50:07 time: 0.8395 data_time: 0.0232 memory: 19925 grad_norm: 4.0861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9526 loss: 0.9526 2022/08/11 08:57:11 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 2.0000e-03 eta: 5:49:50 time: 0.8376 data_time: 0.0175 memory: 19925 grad_norm: 4.1397 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9138 loss: 0.9138 2022/08/11 08:57:28 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 2.0000e-03 eta: 5:49:33 time: 0.8430 data_time: 0.0171 memory: 19925 grad_norm: 4.1337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8951 loss: 0.8951 2022/08/11 08:57:45 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 2.0000e-03 eta: 5:49:16 time: 0.8373 data_time: 0.0175 memory: 19925 grad_norm: 4.2419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/08/11 08:58:02 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 08:58:02 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 2.0000e-03 eta: 5:49:16 time: 0.8857 data_time: 0.0512 memory: 19925 grad_norm: 4.2653 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9280 loss: 0.9280 2022/08/11 08:58:23 - mmengine - INFO - Epoch(val) [37][20/155] eta: 0:02:21 time: 1.0501 data_time: 0.8124 memory: 2570 2022/08/11 08:58:35 - mmengine - INFO - Epoch(val) [37][40/155] eta: 0:01:12 time: 0.6292 data_time: 0.4007 memory: 2570 2022/08/11 08:58:48 - mmengine - INFO - Epoch(val) [37][60/155] eta: 0:01:00 time: 0.6333 data_time: 0.4043 memory: 2570 2022/08/11 08:59:04 - mmengine - INFO - Epoch(val) [37][80/155] eta: 0:01:01 time: 0.8154 data_time: 0.5833 memory: 2570 2022/08/11 08:59:19 - mmengine - INFO - Epoch(val) [37][100/155] eta: 0:00:39 time: 0.7142 data_time: 0.4851 memory: 2570 2022/08/11 08:59:31 - mmengine - INFO - Epoch(val) [37][120/155] eta: 0:00:22 time: 0.6359 data_time: 0.4068 memory: 2570 2022/08/11 08:59:44 - mmengine - INFO - Epoch(val) [37][140/155] eta: 0:00:09 time: 0.6103 data_time: 0.3819 memory: 2570 2022/08/11 09:00:02 - mmengine - INFO - Epoch(val) [37][155/155] acc/top1: 0.7087 acc/top5: 0.8999 acc/mean1: 0.7086 2022/08/11 09:00:31 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 2.0000e-03 eta: 5:48:41 time: 1.4296 data_time: 0.5125 memory: 19925 grad_norm: 4.1284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/08/11 09:00:48 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 2.0000e-03 eta: 5:48:23 time: 0.8607 data_time: 0.0165 memory: 19925 grad_norm: 4.1432 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0769 loss: 1.0769 2022/08/11 09:01:05 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 2.0000e-03 eta: 5:48:06 time: 0.8412 data_time: 0.0258 memory: 19925 grad_norm: 4.0827 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8535 loss: 0.8535 2022/08/11 09:01:21 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 2.0000e-03 eta: 5:47:49 time: 0.8304 data_time: 0.0172 memory: 19925 grad_norm: 4.0246 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8036 loss: 0.8036 2022/08/11 09:01:38 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 2.0000e-03 eta: 5:47:32 time: 0.8445 data_time: 0.0227 memory: 19925 grad_norm: 4.1557 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9946 loss: 0.9946 2022/08/11 09:01:55 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 2.0000e-03 eta: 5:47:14 time: 0.8407 data_time: 0.0177 memory: 19925 grad_norm: 4.1248 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8368 loss: 0.8368 2022/08/11 09:02:12 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 2.0000e-03 eta: 5:46:57 time: 0.8450 data_time: 0.0185 memory: 19925 grad_norm: 4.1199 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9658 loss: 0.9658 2022/08/11 09:02:29 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 2.0000e-03 eta: 5:46:40 time: 0.8457 data_time: 0.0174 memory: 19925 grad_norm: 4.2628 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8832 loss: 0.8832 2022/08/11 09:02:46 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 2.0000e-03 eta: 5:46:23 time: 0.8438 data_time: 0.0194 memory: 19925 grad_norm: 4.0850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/11 09:03:05 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 2.0000e-03 eta: 5:46:06 time: 0.9568 data_time: 0.0186 memory: 19925 grad_norm: 4.0839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9263 loss: 0.9263 2022/08/11 09:03:22 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 2.0000e-03 eta: 5:45:49 time: 0.8407 data_time: 0.0174 memory: 19925 grad_norm: 4.1120 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7563 loss: 0.7563 2022/08/11 09:03:39 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 2.0000e-03 eta: 5:45:32 time: 0.8479 data_time: 0.0197 memory: 19925 grad_norm: 3.9976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8054 loss: 0.8054 2022/08/11 09:03:56 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 2.0000e-03 eta: 5:45:15 time: 0.8474 data_time: 0.0182 memory: 19925 grad_norm: 4.0286 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9192 loss: 0.9192 2022/08/11 09:04:12 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 2.0000e-03 eta: 5:44:57 time: 0.8434 data_time: 0.0191 memory: 19925 grad_norm: 4.1467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8583 loss: 0.8583 2022/08/11 09:04:29 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 2.0000e-03 eta: 5:44:40 time: 0.8418 data_time: 0.0170 memory: 19925 grad_norm: 4.1090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8999 loss: 0.8999 2022/08/11 09:04:46 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 2.0000e-03 eta: 5:44:23 time: 0.8392 data_time: 0.0171 memory: 19925 grad_norm: 4.0878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0788 loss: 1.0788 2022/08/11 09:05:03 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 2.0000e-03 eta: 5:44:06 time: 0.8446 data_time: 0.0166 memory: 19925 grad_norm: 4.2582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/08/11 09:05:28 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 2.0000e-03 eta: 5:43:51 time: 1.2610 data_time: 0.0884 memory: 19925 grad_norm: 4.0978 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8659 loss: 0.8659 2022/08/11 09:05:47 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 2.0000e-03 eta: 5:43:35 time: 0.9632 data_time: 0.0173 memory: 19925 grad_norm: 4.1811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0914 loss: 1.0914 2022/08/11 09:06:06 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 2.0000e-03 eta: 5:43:18 time: 0.9228 data_time: 0.0176 memory: 19925 grad_norm: 4.1976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/08/11 09:06:23 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 2.0000e-03 eta: 5:43:01 time: 0.8440 data_time: 0.0190 memory: 19925 grad_norm: 4.0145 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7625 loss: 0.7625 2022/08/11 09:06:40 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 2.0000e-03 eta: 5:42:44 time: 0.8412 data_time: 0.0196 memory: 19925 grad_norm: 4.1539 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9638 loss: 0.9638 2022/08/11 09:06:57 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 2.0000e-03 eta: 5:42:26 time: 0.8445 data_time: 0.0160 memory: 19925 grad_norm: 4.0927 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8908 loss: 0.8908 2022/08/11 09:07:11 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 09:07:13 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 2.0000e-03 eta: 5:42:09 time: 0.8422 data_time: 0.0190 memory: 19925 grad_norm: 4.1486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/11 09:07:31 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 2.0000e-03 eta: 5:41:52 time: 0.8602 data_time: 0.0168 memory: 19925 grad_norm: 4.1195 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8364 loss: 0.8364 2022/08/11 09:07:47 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 2.0000e-03 eta: 5:41:35 time: 0.8383 data_time: 0.0189 memory: 19925 grad_norm: 4.0977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/11 09:08:06 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 2.0000e-03 eta: 5:41:18 time: 0.9229 data_time: 0.0247 memory: 19925 grad_norm: 4.2089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/08/11 09:08:23 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 2.0000e-03 eta: 5:41:01 time: 0.8352 data_time: 0.0191 memory: 19925 grad_norm: 4.1384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9671 loss: 0.9671 2022/08/11 09:08:39 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 2.0000e-03 eta: 5:40:43 time: 0.8344 data_time: 0.0175 memory: 19925 grad_norm: 4.0921 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/11 09:08:56 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 2.0000e-03 eta: 5:40:26 time: 0.8355 data_time: 0.0173 memory: 19925 grad_norm: 4.1028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9713 loss: 0.9713 2022/08/11 09:09:13 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 2.0000e-03 eta: 5:40:09 time: 0.8375 data_time: 0.0170 memory: 19925 grad_norm: 4.1525 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/11 09:09:29 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 2.0000e-03 eta: 5:39:52 time: 0.8348 data_time: 0.0193 memory: 19925 grad_norm: 4.2349 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8198 loss: 0.8198 2022/08/11 09:09:46 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 2.0000e-03 eta: 5:39:34 time: 0.8477 data_time: 0.0185 memory: 19925 grad_norm: 4.0223 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8660 loss: 0.8660 2022/08/11 09:10:03 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 2.0000e-03 eta: 5:39:17 time: 0.8478 data_time: 0.0195 memory: 19925 grad_norm: 4.1008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8739 loss: 0.8739 2022/08/11 09:10:20 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 2.0000e-03 eta: 5:39:00 time: 0.8549 data_time: 0.0324 memory: 19925 grad_norm: 4.1955 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9273 loss: 0.9273 2022/08/11 09:10:37 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 2.0000e-03 eta: 5:38:43 time: 0.8360 data_time: 0.0192 memory: 19925 grad_norm: 4.2137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9513 loss: 0.9513 2022/08/11 09:10:56 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 2.0000e-03 eta: 5:38:26 time: 0.9314 data_time: 0.0151 memory: 19925 grad_norm: 4.2214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8765 loss: 0.8765 2022/08/11 09:11:13 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 2.0000e-03 eta: 5:38:09 time: 0.8636 data_time: 0.0168 memory: 19925 grad_norm: 4.0837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/08/11 09:11:30 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 2.0000e-03 eta: 5:37:52 time: 0.8325 data_time: 0.0187 memory: 19925 grad_norm: 4.0679 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7999 loss: 0.7999 2022/08/11 09:11:46 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 2.0000e-03 eta: 5:37:34 time: 0.8316 data_time: 0.0189 memory: 19925 grad_norm: 4.0957 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8477 loss: 0.8477 2022/08/11 09:12:03 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 2.0000e-03 eta: 5:37:17 time: 0.8318 data_time: 0.0173 memory: 19925 grad_norm: 4.1899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/11 09:12:20 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 2.0000e-03 eta: 5:37:00 time: 0.8302 data_time: 0.0186 memory: 19925 grad_norm: 4.1419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8765 loss: 0.8765 2022/08/11 09:12:36 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 2.0000e-03 eta: 5:36:42 time: 0.8346 data_time: 0.0195 memory: 19925 grad_norm: 4.1736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/08/11 09:12:53 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 2.0000e-03 eta: 5:36:25 time: 0.8372 data_time: 0.0245 memory: 19925 grad_norm: 4.2366 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8007 loss: 0.8007 2022/08/11 09:13:10 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 2.0000e-03 eta: 5:36:08 time: 0.8310 data_time: 0.0184 memory: 19925 grad_norm: 4.1310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8354 loss: 0.8354 2022/08/11 09:13:26 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 2.0000e-03 eta: 5:35:50 time: 0.8349 data_time: 0.0182 memory: 19925 grad_norm: 4.2377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0074 loss: 1.0074 2022/08/11 09:13:43 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 2.0000e-03 eta: 5:35:33 time: 0.8361 data_time: 0.0188 memory: 19925 grad_norm: 4.1591 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8543 loss: 0.8543 2022/08/11 09:14:00 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 2.0000e-03 eta: 5:35:16 time: 0.8437 data_time: 0.0172 memory: 19925 grad_norm: 4.0595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/11 09:14:17 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 2.0000e-03 eta: 5:34:59 time: 0.8518 data_time: 0.0324 memory: 19925 grad_norm: 4.1881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8731 loss: 0.8731 2022/08/11 09:14:34 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 2.0000e-03 eta: 5:34:41 time: 0.8318 data_time: 0.0172 memory: 19925 grad_norm: 4.1381 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0625 loss: 1.0625 2022/08/11 09:14:50 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 2.0000e-03 eta: 5:34:24 time: 0.8372 data_time: 0.0189 memory: 19925 grad_norm: 4.2198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0223 loss: 1.0223 2022/08/11 09:15:07 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 2.0000e-03 eta: 5:34:07 time: 0.8355 data_time: 0.0207 memory: 19925 grad_norm: 4.1479 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9558 loss: 0.9558 2022/08/11 09:15:24 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 2.0000e-03 eta: 5:33:50 time: 0.8453 data_time: 0.0225 memory: 19925 grad_norm: 4.3153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/11 09:15:41 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 2.0000e-03 eta: 5:33:32 time: 0.8368 data_time: 0.0188 memory: 19925 grad_norm: 4.3413 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0130 loss: 1.0130 2022/08/11 09:15:57 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 2.0000e-03 eta: 5:33:15 time: 0.8309 data_time: 0.0180 memory: 19925 grad_norm: 4.1628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0163 loss: 1.0163 2022/08/11 09:16:14 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 2.0000e-03 eta: 5:32:58 time: 0.8334 data_time: 0.0166 memory: 19925 grad_norm: 4.0635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/08/11 09:16:31 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 2.0000e-03 eta: 5:32:40 time: 0.8337 data_time: 0.0173 memory: 19925 grad_norm: 4.1252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8613 loss: 0.8613 2022/08/11 09:16:47 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 2.0000e-03 eta: 5:32:23 time: 0.8303 data_time: 0.0184 memory: 19925 grad_norm: 4.1711 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/08/11 09:17:04 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 2.0000e-03 eta: 5:32:06 time: 0.8350 data_time: 0.0197 memory: 19925 grad_norm: 4.1060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8655 loss: 0.8655 2022/08/11 09:17:21 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 2.0000e-03 eta: 5:31:49 time: 0.8324 data_time: 0.0190 memory: 19925 grad_norm: 4.0877 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8444 loss: 0.8444 2022/08/11 09:17:37 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 2.0000e-03 eta: 5:31:31 time: 0.8315 data_time: 0.0171 memory: 19925 grad_norm: 4.2928 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/11 09:17:56 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 2.0000e-03 eta: 5:31:15 time: 0.9303 data_time: 0.0193 memory: 19925 grad_norm: 4.2210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/08/11 09:18:13 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 2.0000e-03 eta: 5:30:57 time: 0.8312 data_time: 0.0184 memory: 19925 grad_norm: 4.0941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9249 loss: 0.9249 2022/08/11 09:18:29 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 2.0000e-03 eta: 5:30:40 time: 0.8301 data_time: 0.0181 memory: 19925 grad_norm: 4.1488 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9637 loss: 0.9637 2022/08/11 09:18:46 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 2.0000e-03 eta: 5:30:23 time: 0.8335 data_time: 0.0190 memory: 19925 grad_norm: 4.1527 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8305 loss: 0.8305 2022/08/11 09:19:03 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 2.0000e-03 eta: 5:30:05 time: 0.8313 data_time: 0.0192 memory: 19925 grad_norm: 4.2085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/08/11 09:19:19 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 2.0000e-03 eta: 5:29:48 time: 0.8349 data_time: 0.0167 memory: 19925 grad_norm: 4.2259 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9377 loss: 0.9377 2022/08/11 09:19:36 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 2.0000e-03 eta: 5:29:31 time: 0.8327 data_time: 0.0187 memory: 19925 grad_norm: 4.2444 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0140 loss: 1.0140 2022/08/11 09:19:53 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 2.0000e-03 eta: 5:29:13 time: 0.8344 data_time: 0.0183 memory: 19925 grad_norm: 4.1834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/11 09:20:09 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 2.0000e-03 eta: 5:28:56 time: 0.8338 data_time: 0.0178 memory: 19925 grad_norm: 4.0312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/11 09:20:27 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 2.0000e-03 eta: 5:28:39 time: 0.8668 data_time: 0.0315 memory: 19925 grad_norm: 4.2224 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8712 loss: 0.8712 2022/08/11 09:20:44 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 2.0000e-03 eta: 5:28:22 time: 0.8419 data_time: 0.0269 memory: 19925 grad_norm: 4.0930 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8715 loss: 0.8715 2022/08/11 09:21:00 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 2.0000e-03 eta: 5:28:04 time: 0.8313 data_time: 0.0177 memory: 19925 grad_norm: 4.1864 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0871 loss: 1.0871 2022/08/11 09:21:14 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 09:21:17 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 2.0000e-03 eta: 5:27:47 time: 0.8403 data_time: 0.0188 memory: 19925 grad_norm: 4.2131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0730 loss: 1.0730 2022/08/11 09:21:34 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 2.0000e-03 eta: 5:27:30 time: 0.8354 data_time: 0.0174 memory: 19925 grad_norm: 4.2409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7770 loss: 0.7770 2022/08/11 09:21:51 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 2.0000e-03 eta: 5:27:13 time: 0.8393 data_time: 0.0190 memory: 19925 grad_norm: 4.1428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8100 loss: 0.8100 2022/08/11 09:22:07 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 2.0000e-03 eta: 5:26:55 time: 0.8373 data_time: 0.0193 memory: 19925 grad_norm: 4.2703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/08/11 09:22:24 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 2.0000e-03 eta: 5:26:38 time: 0.8384 data_time: 0.0218 memory: 19925 grad_norm: 4.2426 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0913 loss: 1.0913 2022/08/11 09:22:41 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 2.0000e-03 eta: 5:26:21 time: 0.8405 data_time: 0.0165 memory: 19925 grad_norm: 4.0673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/08/11 09:22:58 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 2.0000e-03 eta: 5:26:04 time: 0.8394 data_time: 0.0174 memory: 19925 grad_norm: 4.2857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0167 loss: 1.0167 2022/08/11 09:23:14 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 2.0000e-03 eta: 5:25:46 time: 0.8343 data_time: 0.0179 memory: 19925 grad_norm: 4.2696 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9628 loss: 0.9628 2022/08/11 09:23:31 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 2.0000e-03 eta: 5:25:29 time: 0.8423 data_time: 0.0183 memory: 19925 grad_norm: 4.3149 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8626 loss: 0.8626 2022/08/11 09:23:48 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 2.0000e-03 eta: 5:25:12 time: 0.8443 data_time: 0.0215 memory: 19925 grad_norm: 4.0885 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/11 09:24:05 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 2.0000e-03 eta: 5:24:55 time: 0.8347 data_time: 0.0160 memory: 19925 grad_norm: 4.2191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9759 loss: 0.9759 2022/08/11 09:24:22 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 2.0000e-03 eta: 5:24:37 time: 0.8457 data_time: 0.0260 memory: 19925 grad_norm: 4.2283 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9598 loss: 0.9598 2022/08/11 09:24:38 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 2.0000e-03 eta: 5:24:20 time: 0.8331 data_time: 0.0155 memory: 19925 grad_norm: 4.1759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/11 09:24:55 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 2.0000e-03 eta: 5:24:03 time: 0.8375 data_time: 0.0172 memory: 19925 grad_norm: 4.1138 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9589 loss: 0.9589 2022/08/11 09:25:12 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 2.0000e-03 eta: 5:23:46 time: 0.8456 data_time: 0.0180 memory: 19925 grad_norm: 4.1680 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9033 loss: 0.9033 2022/08/11 09:25:29 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 2.0000e-03 eta: 5:23:28 time: 0.8489 data_time: 0.0201 memory: 19925 grad_norm: 4.2318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9873 loss: 0.9873 2022/08/11 09:25:46 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 2.0000e-03 eta: 5:23:11 time: 0.8371 data_time: 0.0152 memory: 19925 grad_norm: 4.1947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9965 loss: 0.9965 2022/08/11 09:26:03 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 2.0000e-03 eta: 5:22:54 time: 0.8347 data_time: 0.0173 memory: 19925 grad_norm: 4.3247 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0776 loss: 1.0776 2022/08/11 09:26:19 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 2.0000e-03 eta: 5:22:37 time: 0.8403 data_time: 0.0166 memory: 19925 grad_norm: 4.0954 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/11 09:26:36 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 2.0000e-03 eta: 5:22:19 time: 0.8449 data_time: 0.0179 memory: 19925 grad_norm: 4.1891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7414 loss: 0.7414 2022/08/11 09:26:52 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 09:26:52 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 2.0000e-03 eta: 5:22:19 time: 0.8243 data_time: 0.0158 memory: 19925 grad_norm: 4.3681 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9805 loss: 0.9805 2022/08/11 09:27:12 - mmengine - INFO - Epoch(val) [38][20/155] eta: 0:02:17 time: 1.0184 data_time: 0.7851 memory: 2570 2022/08/11 09:27:20 - mmengine - INFO - Epoch(val) [38][40/155] eta: 0:00:44 time: 0.3909 data_time: 0.1597 memory: 2570 2022/08/11 09:27:32 - mmengine - INFO - Epoch(val) [38][60/155] eta: 0:00:58 time: 0.6131 data_time: 0.3815 memory: 2570 2022/08/11 09:27:43 - mmengine - INFO - Epoch(val) [38][80/155] eta: 0:00:39 time: 0.5269 data_time: 0.2968 memory: 2570 2022/08/11 09:27:57 - mmengine - INFO - Epoch(val) [38][100/155] eta: 0:00:37 time: 0.6816 data_time: 0.4513 memory: 2570 2022/08/11 09:28:12 - mmengine - INFO - Epoch(val) [38][120/155] eta: 0:00:26 time: 0.7472 data_time: 0.5157 memory: 2570 2022/08/11 09:28:25 - mmengine - INFO - Epoch(val) [38][140/155] eta: 0:00:10 time: 0.6791 data_time: 0.4447 memory: 2570 2022/08/11 09:28:38 - mmengine - INFO - Epoch(val) [38][155/155] acc/top1: 0.7117 acc/top5: 0.9011 acc/mean1: 0.7116 2022/08/11 09:28:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_37.pth is removed 2022/08/11 09:28:40 - mmengine - INFO - The best checkpoint with 0.7117 acc/top1 at 39 epoch is saved to best_acc/top1_epoch_39.pth. 2022/08/11 09:29:02 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 2.0000e-03 eta: 5:21:42 time: 1.0870 data_time: 0.2194 memory: 19925 grad_norm: 4.2318 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0192 loss: 1.0192 2022/08/11 09:29:19 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 2.0000e-03 eta: 5:21:25 time: 0.8456 data_time: 0.0197 memory: 19925 grad_norm: 4.1018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/11 09:29:35 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 2.0000e-03 eta: 5:21:08 time: 0.8328 data_time: 0.0173 memory: 19925 grad_norm: 4.1304 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7980 loss: 0.7980 2022/08/11 09:29:52 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 2.0000e-03 eta: 5:20:51 time: 0.8321 data_time: 0.0176 memory: 19925 grad_norm: 4.1982 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/11 09:30:09 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 2.0000e-03 eta: 5:20:33 time: 0.8392 data_time: 0.0189 memory: 19925 grad_norm: 4.0199 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7773 loss: 0.7773 2022/08/11 09:30:25 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 2.0000e-03 eta: 5:20:16 time: 0.8417 data_time: 0.0202 memory: 19925 grad_norm: 4.2292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8831 loss: 0.8831 2022/08/11 09:30:42 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 2.0000e-03 eta: 5:19:59 time: 0.8365 data_time: 0.0186 memory: 19925 grad_norm: 4.1850 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9172 loss: 0.9172 2022/08/11 09:30:59 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 2.0000e-03 eta: 5:19:42 time: 0.8386 data_time: 0.0177 memory: 19925 grad_norm: 4.1972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8379 loss: 0.8379 2022/08/11 09:31:16 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 2.0000e-03 eta: 5:19:24 time: 0.8349 data_time: 0.0172 memory: 19925 grad_norm: 4.0292 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9340 loss: 0.9340 2022/08/11 09:31:32 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 2.0000e-03 eta: 5:19:07 time: 0.8357 data_time: 0.0173 memory: 19925 grad_norm: 4.0965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7953 loss: 0.7953 2022/08/11 09:31:49 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 2.0000e-03 eta: 5:18:50 time: 0.8417 data_time: 0.0183 memory: 19925 grad_norm: 4.1785 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0171 loss: 1.0171 2022/08/11 09:32:06 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 2.0000e-03 eta: 5:18:33 time: 0.8323 data_time: 0.0187 memory: 19925 grad_norm: 4.2203 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9316 loss: 0.9316 2022/08/11 09:32:23 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 2.0000e-03 eta: 5:18:15 time: 0.8313 data_time: 0.0182 memory: 19925 grad_norm: 4.2871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0391 loss: 1.0391 2022/08/11 09:32:39 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 2.0000e-03 eta: 5:17:58 time: 0.8356 data_time: 0.0186 memory: 19925 grad_norm: 4.0795 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0228 loss: 1.0228 2022/08/11 09:32:56 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 2.0000e-03 eta: 5:17:41 time: 0.8394 data_time: 0.0176 memory: 19925 grad_norm: 4.1055 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8149 loss: 0.8149 2022/08/11 09:33:13 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 2.0000e-03 eta: 5:17:24 time: 0.8484 data_time: 0.0295 memory: 19925 grad_norm: 4.0908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7422 loss: 0.7422 2022/08/11 09:33:30 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 2.0000e-03 eta: 5:17:06 time: 0.8358 data_time: 0.0156 memory: 19925 grad_norm: 4.0413 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8416 loss: 0.8416 2022/08/11 09:33:47 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 2.0000e-03 eta: 5:16:49 time: 0.8359 data_time: 0.0170 memory: 19925 grad_norm: 4.1816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7500 loss: 0.7500 2022/08/11 09:34:03 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 2.0000e-03 eta: 5:16:32 time: 0.8306 data_time: 0.0179 memory: 19925 grad_norm: 4.3014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0756 loss: 1.0756 2022/08/11 09:34:20 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 2.0000e-03 eta: 5:16:14 time: 0.8376 data_time: 0.0169 memory: 19925 grad_norm: 4.1590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/08/11 09:34:37 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 2.0000e-03 eta: 5:15:57 time: 0.8357 data_time: 0.0190 memory: 19925 grad_norm: 4.2932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/11 09:34:53 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 2.0000e-03 eta: 5:15:40 time: 0.8346 data_time: 0.0182 memory: 19925 grad_norm: 4.1236 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8036 loss: 0.8036 2022/08/11 09:35:10 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 2.0000e-03 eta: 5:15:23 time: 0.8380 data_time: 0.0183 memory: 19925 grad_norm: 4.2673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/11 09:35:27 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 2.0000e-03 eta: 5:15:05 time: 0.8388 data_time: 0.0209 memory: 19925 grad_norm: 4.1429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8205 loss: 0.8205 2022/08/11 09:35:44 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 2.0000e-03 eta: 5:14:48 time: 0.8363 data_time: 0.0169 memory: 19925 grad_norm: 4.1227 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9001 loss: 0.9001 2022/08/11 09:36:00 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 2.0000e-03 eta: 5:14:31 time: 0.8348 data_time: 0.0184 memory: 19925 grad_norm: 4.0417 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8159 loss: 0.8159 2022/08/11 09:36:17 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 2.0000e-03 eta: 5:14:14 time: 0.8309 data_time: 0.0190 memory: 19925 grad_norm: 4.1108 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9314 loss: 0.9314 2022/08/11 09:36:34 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 2.0000e-03 eta: 5:13:56 time: 0.8352 data_time: 0.0178 memory: 19925 grad_norm: 4.1141 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8468 loss: 0.8468 2022/08/11 09:36:50 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 2.0000e-03 eta: 5:13:39 time: 0.8322 data_time: 0.0180 memory: 19925 grad_norm: 4.1205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0088 loss: 1.0088 2022/08/11 09:37:05 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 09:37:07 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 2.0000e-03 eta: 5:13:22 time: 0.8386 data_time: 0.0185 memory: 19925 grad_norm: 4.1575 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/08/11 09:37:24 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 2.0000e-03 eta: 5:13:05 time: 0.8322 data_time: 0.0171 memory: 19925 grad_norm: 4.3043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0089 loss: 1.0089 2022/08/11 09:37:40 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 2.0000e-03 eta: 5:12:47 time: 0.8333 data_time: 0.0163 memory: 19925 grad_norm: 4.2749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/11 09:37:58 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 2.0000e-03 eta: 5:12:30 time: 0.8935 data_time: 0.0177 memory: 19925 grad_norm: 4.1514 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8017 loss: 0.8017 2022/08/11 09:38:15 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 2.0000e-03 eta: 5:12:13 time: 0.8318 data_time: 0.0195 memory: 19925 grad_norm: 4.3140 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/08/11 09:38:32 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 2.0000e-03 eta: 5:11:56 time: 0.8338 data_time: 0.0177 memory: 19925 grad_norm: 4.1005 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9184 loss: 0.9184 2022/08/11 09:38:48 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 2.0000e-03 eta: 5:11:38 time: 0.8316 data_time: 0.0186 memory: 19925 grad_norm: 4.2535 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0429 loss: 1.0429 2022/08/11 09:39:05 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 2.0000e-03 eta: 5:11:21 time: 0.8321 data_time: 0.0175 memory: 19925 grad_norm: 4.2614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/11 09:39:22 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 2.0000e-03 eta: 5:11:04 time: 0.8344 data_time: 0.0189 memory: 19925 grad_norm: 4.2475 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8994 loss: 0.8994 2022/08/11 09:39:38 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 2.0000e-03 eta: 5:10:47 time: 0.8349 data_time: 0.0175 memory: 19925 grad_norm: 4.1638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8319 loss: 0.8319 2022/08/11 09:39:55 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 2.0000e-03 eta: 5:10:29 time: 0.8367 data_time: 0.0191 memory: 19925 grad_norm: 4.2669 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9598 loss: 0.9598 2022/08/11 09:40:12 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 2.0000e-03 eta: 5:10:12 time: 0.8374 data_time: 0.0193 memory: 19925 grad_norm: 4.1741 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9309 loss: 0.9309 2022/08/11 09:40:30 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 2.0000e-03 eta: 5:09:55 time: 0.9145 data_time: 0.0204 memory: 19925 grad_norm: 4.3563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/11 09:40:47 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 2.0000e-03 eta: 5:09:38 time: 0.8417 data_time: 0.0233 memory: 19925 grad_norm: 4.2754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/08/11 09:41:04 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 2.0000e-03 eta: 5:09:21 time: 0.8317 data_time: 0.0179 memory: 19925 grad_norm: 4.1075 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9510 loss: 0.9510 2022/08/11 09:41:20 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 2.0000e-03 eta: 5:09:04 time: 0.8318 data_time: 0.0180 memory: 19925 grad_norm: 4.2388 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9653 loss: 0.9653 2022/08/11 09:41:37 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 2.0000e-03 eta: 5:08:46 time: 0.8383 data_time: 0.0233 memory: 19925 grad_norm: 4.2455 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/11 09:41:54 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 2.0000e-03 eta: 5:08:29 time: 0.8382 data_time: 0.0178 memory: 19925 grad_norm: 4.2811 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1609 loss: 1.1609 2022/08/11 09:42:11 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 2.0000e-03 eta: 5:08:12 time: 0.8378 data_time: 0.0192 memory: 19925 grad_norm: 4.1751 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9182 loss: 0.9182 2022/08/11 09:42:27 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 2.0000e-03 eta: 5:07:55 time: 0.8390 data_time: 0.0186 memory: 19925 grad_norm: 4.1753 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8351 loss: 0.8351 2022/08/11 09:42:44 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 2.0000e-03 eta: 5:07:37 time: 0.8356 data_time: 0.0180 memory: 19925 grad_norm: 4.1577 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8573 loss: 0.8573 2022/08/11 09:43:01 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 2.0000e-03 eta: 5:07:20 time: 0.8360 data_time: 0.0180 memory: 19925 grad_norm: 4.0960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9135 loss: 0.9135 2022/08/11 09:43:18 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 2.0000e-03 eta: 5:07:03 time: 0.8487 data_time: 0.0188 memory: 19925 grad_norm: 4.1799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/08/11 09:43:34 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 2.0000e-03 eta: 5:06:46 time: 0.8325 data_time: 0.0161 memory: 19925 grad_norm: 4.1116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7629 loss: 0.7629 2022/08/11 09:43:51 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 2.0000e-03 eta: 5:06:28 time: 0.8349 data_time: 0.0170 memory: 19925 grad_norm: 4.2118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/11 09:44:08 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 2.0000e-03 eta: 5:06:11 time: 0.8391 data_time: 0.0177 memory: 19925 grad_norm: 4.2134 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/11 09:44:25 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 2.0000e-03 eta: 5:05:54 time: 0.8466 data_time: 0.0300 memory: 19925 grad_norm: 4.1291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7674 loss: 0.7674 2022/08/11 09:44:42 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 2.0000e-03 eta: 5:05:37 time: 0.8326 data_time: 0.0169 memory: 19925 grad_norm: 4.3135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/08/11 09:44:58 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 2.0000e-03 eta: 5:05:19 time: 0.8417 data_time: 0.0190 memory: 19925 grad_norm: 4.2988 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0044 loss: 1.0044 2022/08/11 09:45:16 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 2.0000e-03 eta: 5:05:02 time: 0.8638 data_time: 0.0248 memory: 19925 grad_norm: 3.9770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8402 loss: 0.8402 2022/08/11 09:45:32 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 2.0000e-03 eta: 5:04:45 time: 0.8371 data_time: 0.0199 memory: 19925 grad_norm: 4.2828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7681 loss: 0.7681 2022/08/11 09:45:49 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 2.0000e-03 eta: 5:04:28 time: 0.8346 data_time: 0.0181 memory: 19925 grad_norm: 4.0240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9037 loss: 0.9037 2022/08/11 09:46:06 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 2.0000e-03 eta: 5:04:11 time: 0.8298 data_time: 0.0197 memory: 19925 grad_norm: 4.3482 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8382 loss: 0.8382 2022/08/11 09:46:22 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 2.0000e-03 eta: 5:03:53 time: 0.8384 data_time: 0.0173 memory: 19925 grad_norm: 4.3542 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/08/11 09:46:39 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 2.0000e-03 eta: 5:03:36 time: 0.8345 data_time: 0.0187 memory: 19925 grad_norm: 4.2325 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8790 loss: 0.8790 2022/08/11 09:46:56 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 2.0000e-03 eta: 5:03:19 time: 0.8445 data_time: 0.0164 memory: 19925 grad_norm: 4.2217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8773 loss: 0.8773 2022/08/11 09:47:13 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 2.0000e-03 eta: 5:03:02 time: 0.8366 data_time: 0.0175 memory: 19925 grad_norm: 4.2079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8317 loss: 0.8317 2022/08/11 09:47:30 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 2.0000e-03 eta: 5:02:44 time: 0.8376 data_time: 0.0173 memory: 19925 grad_norm: 4.1704 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/08/11 09:47:46 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 2.0000e-03 eta: 5:02:27 time: 0.8348 data_time: 0.0178 memory: 19925 grad_norm: 4.2957 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8806 loss: 0.8806 2022/08/11 09:48:05 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 2.0000e-03 eta: 5:02:10 time: 0.9150 data_time: 0.0184 memory: 19925 grad_norm: 4.2269 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/11 09:48:21 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 2.0000e-03 eta: 5:01:53 time: 0.8343 data_time: 0.0231 memory: 19925 grad_norm: 4.3907 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8915 loss: 0.8915 2022/08/11 09:48:38 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 2.0000e-03 eta: 5:01:36 time: 0.8369 data_time: 0.0186 memory: 19925 grad_norm: 4.2541 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/11 09:48:55 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 2.0000e-03 eta: 5:01:19 time: 0.8321 data_time: 0.0174 memory: 19925 grad_norm: 4.1881 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9459 loss: 0.9459 2022/08/11 09:49:11 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 2.0000e-03 eta: 5:01:01 time: 0.8342 data_time: 0.0181 memory: 19925 grad_norm: 4.3967 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8374 loss: 0.8374 2022/08/11 09:49:28 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 2.0000e-03 eta: 5:00:44 time: 0.8352 data_time: 0.0180 memory: 19925 grad_norm: 4.2788 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/08/11 09:49:45 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 2.0000e-03 eta: 5:00:27 time: 0.8407 data_time: 0.0175 memory: 19925 grad_norm: 4.2182 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9652 loss: 0.9652 2022/08/11 09:50:02 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 2.0000e-03 eta: 5:00:10 time: 0.8375 data_time: 0.0172 memory: 19925 grad_norm: 4.2888 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9908 loss: 0.9908 2022/08/11 09:50:19 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 2.0000e-03 eta: 4:59:52 time: 0.8495 data_time: 0.0216 memory: 19925 grad_norm: 4.2995 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/11 09:50:36 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 2.0000e-03 eta: 4:59:35 time: 0.8521 data_time: 0.0280 memory: 19925 grad_norm: 4.2261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9467 loss: 0.9467 2022/08/11 09:50:52 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 2.0000e-03 eta: 4:59:18 time: 0.8347 data_time: 0.0161 memory: 19925 grad_norm: 4.2678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0129 loss: 1.0129 2022/08/11 09:51:07 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 09:51:09 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 2.0000e-03 eta: 4:59:01 time: 0.8307 data_time: 0.0180 memory: 19925 grad_norm: 4.1437 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8679 loss: 0.8679 2022/08/11 09:51:26 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 2.0000e-03 eta: 4:58:44 time: 0.8302 data_time: 0.0183 memory: 19925 grad_norm: 4.3430 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8597 loss: 0.8597 2022/08/11 09:51:42 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 2.0000e-03 eta: 4:58:26 time: 0.8328 data_time: 0.0178 memory: 19925 grad_norm: 4.2597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9511 loss: 0.9511 2022/08/11 09:51:59 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 2.0000e-03 eta: 4:58:09 time: 0.8370 data_time: 0.0181 memory: 19925 grad_norm: 4.1631 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8855 loss: 0.8855 2022/08/11 09:52:16 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 2.0000e-03 eta: 4:57:52 time: 0.8320 data_time: 0.0172 memory: 19925 grad_norm: 4.3480 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0195 loss: 1.0195 2022/08/11 09:52:32 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 2.0000e-03 eta: 4:57:34 time: 0.8359 data_time: 0.0171 memory: 19925 grad_norm: 4.2832 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/11 09:52:49 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 2.0000e-03 eta: 4:57:17 time: 0.8343 data_time: 0.0188 memory: 19925 grad_norm: 4.2050 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1180 loss: 1.1180 2022/08/11 09:53:06 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 2.0000e-03 eta: 4:57:00 time: 0.8455 data_time: 0.0258 memory: 19925 grad_norm: 4.1436 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8616 loss: 0.8616 2022/08/11 09:53:23 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 2.0000e-03 eta: 4:56:43 time: 0.8318 data_time: 0.0186 memory: 19925 grad_norm: 4.2712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9274 loss: 0.9274 2022/08/11 09:53:39 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 2.0000e-03 eta: 4:56:25 time: 0.8296 data_time: 0.0179 memory: 19925 grad_norm: 4.2334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/08/11 09:53:56 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 2.0000e-03 eta: 4:56:08 time: 0.8300 data_time: 0.0201 memory: 19925 grad_norm: 4.3269 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/08/11 09:54:13 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 2.0000e-03 eta: 4:55:51 time: 0.8316 data_time: 0.0179 memory: 19925 grad_norm: 4.1831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8895 loss: 0.8895 2022/08/11 09:54:29 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 2.0000e-03 eta: 4:55:34 time: 0.8348 data_time: 0.0191 memory: 19925 grad_norm: 4.1755 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/08/11 09:54:46 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 2.0000e-03 eta: 4:55:16 time: 0.8297 data_time: 0.0190 memory: 19925 grad_norm: 4.0980 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8549 loss: 0.8549 2022/08/11 09:55:01 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 09:55:01 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 2.0000e-03 eta: 4:55:16 time: 0.8220 data_time: 0.0182 memory: 19925 grad_norm: 4.2533 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8124 loss: 0.8124 2022/08/11 09:55:02 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/11 09:55:19 - mmengine - INFO - Epoch(val) [39][20/155] eta: 0:01:39 time: 0.7394 data_time: 0.5042 memory: 2570 2022/08/11 09:55:32 - mmengine - INFO - Epoch(val) [39][40/155] eta: 0:01:13 time: 0.6349 data_time: 0.4033 memory: 2570 2022/08/11 09:55:43 - mmengine - INFO - Epoch(val) [39][60/155] eta: 0:00:51 time: 0.5425 data_time: 0.3112 memory: 2570 2022/08/11 09:55:55 - mmengine - INFO - Epoch(val) [39][80/155] eta: 0:00:45 time: 0.6007 data_time: 0.3698 memory: 2570 2022/08/11 09:56:08 - mmengine - INFO - Epoch(val) [39][100/155] eta: 0:00:34 time: 0.6347 data_time: 0.4018 memory: 2570 2022/08/11 09:56:26 - mmengine - INFO - Epoch(val) [39][120/155] eta: 0:00:31 time: 0.9126 data_time: 0.6814 memory: 2570 2022/08/11 09:56:34 - mmengine - INFO - Epoch(val) [39][140/155] eta: 0:00:06 time: 0.4246 data_time: 0.1953 memory: 2570 2022/08/11 09:56:44 - mmengine - INFO - Epoch(val) [39][155/155] acc/top1: 0.7137 acc/top5: 0.9000 acc/mean1: 0.7136 2022/08/11 09:56:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_39.pth is removed 2022/08/11 09:56:47 - mmengine - INFO - The best checkpoint with 0.7137 acc/top1 at 40 epoch is saved to best_acc/top1_epoch_40.pth. 2022/08/11 09:57:07 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 2.0000e-03 eta: 4:54:39 time: 1.0304 data_time: 0.2082 memory: 19925 grad_norm: 4.1743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8589 loss: 0.8589 2022/08/11 09:57:24 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 2.0000e-03 eta: 4:54:22 time: 0.8250 data_time: 0.0180 memory: 19925 grad_norm: 4.1793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8284 loss: 0.8284 2022/08/11 09:57:40 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 2.0000e-03 eta: 4:54:05 time: 0.8290 data_time: 0.0187 memory: 19925 grad_norm: 4.3497 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/11 09:57:58 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 2.0000e-03 eta: 4:53:48 time: 0.8926 data_time: 0.0189 memory: 19925 grad_norm: 4.2275 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/11 09:58:15 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 2.0000e-03 eta: 4:53:31 time: 0.8480 data_time: 0.0176 memory: 19925 grad_norm: 4.2438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/08/11 09:58:32 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 2.0000e-03 eta: 4:53:14 time: 0.8381 data_time: 0.0177 memory: 19925 grad_norm: 4.3652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0129 loss: 1.0129 2022/08/11 09:58:49 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 2.0000e-03 eta: 4:52:56 time: 0.8398 data_time: 0.0231 memory: 19925 grad_norm: 4.1973 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9050 loss: 0.9050 2022/08/11 09:59:06 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 2.0000e-03 eta: 4:52:39 time: 0.8383 data_time: 0.0187 memory: 19925 grad_norm: 4.2255 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/08/11 09:59:22 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 2.0000e-03 eta: 4:52:22 time: 0.8404 data_time: 0.0173 memory: 19925 grad_norm: 4.0775 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/11 09:59:39 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 2.0000e-03 eta: 4:52:05 time: 0.8398 data_time: 0.0189 memory: 19925 grad_norm: 4.2462 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9880 loss: 0.9880 2022/08/11 09:59:56 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 2.0000e-03 eta: 4:51:47 time: 0.8362 data_time: 0.0196 memory: 19925 grad_norm: 4.1671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9974 loss: 0.9974 2022/08/11 10:00:13 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 2.0000e-03 eta: 4:51:30 time: 0.8402 data_time: 0.0201 memory: 19925 grad_norm: 4.3343 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0002 loss: 1.0002 2022/08/11 10:00:30 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 2.0000e-03 eta: 4:51:13 time: 0.8484 data_time: 0.0225 memory: 19925 grad_norm: 4.1426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9219 loss: 0.9219 2022/08/11 10:00:46 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 2.0000e-03 eta: 4:50:56 time: 0.8382 data_time: 0.0183 memory: 19925 grad_norm: 4.1424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7759 loss: 0.7759 2022/08/11 10:01:03 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 2.0000e-03 eta: 4:50:39 time: 0.8345 data_time: 0.0173 memory: 19925 grad_norm: 4.2315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9464 loss: 0.9464 2022/08/11 10:01:20 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 2.0000e-03 eta: 4:50:21 time: 0.8358 data_time: 0.0185 memory: 19925 grad_norm: 4.1986 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7830 loss: 0.7830 2022/08/11 10:01:37 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 2.0000e-03 eta: 4:50:04 time: 0.8317 data_time: 0.0177 memory: 19925 grad_norm: 4.2487 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8667 loss: 0.8667 2022/08/11 10:01:53 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 2.0000e-03 eta: 4:49:47 time: 0.8344 data_time: 0.0181 memory: 19925 grad_norm: 4.3409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/11 10:02:10 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 2.0000e-03 eta: 4:49:30 time: 0.8347 data_time: 0.0211 memory: 19925 grad_norm: 4.2909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/11 10:02:27 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 2.0000e-03 eta: 4:49:12 time: 0.8382 data_time: 0.0202 memory: 19925 grad_norm: 4.2978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/08/11 10:02:43 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 2.0000e-03 eta: 4:48:55 time: 0.8377 data_time: 0.0154 memory: 19925 grad_norm: 4.1197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/08/11 10:03:00 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 2.0000e-03 eta: 4:48:38 time: 0.8399 data_time: 0.0195 memory: 19925 grad_norm: 4.2163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/11 10:03:17 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 2.0000e-03 eta: 4:48:21 time: 0.8327 data_time: 0.0168 memory: 19925 grad_norm: 4.2482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/08/11 10:03:34 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 2.0000e-03 eta: 4:48:03 time: 0.8364 data_time: 0.0170 memory: 19925 grad_norm: 4.2925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8130 loss: 0.8130 2022/08/11 10:03:50 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 2.0000e-03 eta: 4:47:46 time: 0.8360 data_time: 0.0182 memory: 19925 grad_norm: 4.1853 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/08/11 10:04:07 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 2.0000e-03 eta: 4:47:29 time: 0.8426 data_time: 0.0187 memory: 19925 grad_norm: 4.1543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/11 10:04:24 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 2.0000e-03 eta: 4:47:12 time: 0.8411 data_time: 0.0193 memory: 19925 grad_norm: 4.3111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7945 loss: 0.7945 2022/08/11 10:04:41 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 2.0000e-03 eta: 4:46:55 time: 0.8405 data_time: 0.0249 memory: 19925 grad_norm: 4.1966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6402 loss: 0.6402 2022/08/11 10:04:58 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 2.0000e-03 eta: 4:46:37 time: 0.8385 data_time: 0.0252 memory: 19925 grad_norm: 4.2813 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/08/11 10:05:14 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 2.0000e-03 eta: 4:46:20 time: 0.8396 data_time: 0.0188 memory: 19925 grad_norm: 4.3348 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9210 loss: 0.9210 2022/08/11 10:05:31 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 2.0000e-03 eta: 4:46:03 time: 0.8391 data_time: 0.0195 memory: 19925 grad_norm: 4.1875 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/08/11 10:05:48 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 2.0000e-03 eta: 4:45:46 time: 0.8360 data_time: 0.0186 memory: 19925 grad_norm: 4.2793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8722 loss: 0.8722 2022/08/11 10:06:05 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 2.0000e-03 eta: 4:45:29 time: 0.8344 data_time: 0.0182 memory: 19925 grad_norm: 4.2831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8025 loss: 0.8025 2022/08/11 10:06:21 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 2.0000e-03 eta: 4:45:11 time: 0.8354 data_time: 0.0183 memory: 19925 grad_norm: 4.1703 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/11 10:06:38 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 2.0000e-03 eta: 4:44:54 time: 0.8477 data_time: 0.0190 memory: 19925 grad_norm: 4.0797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7527 loss: 0.7527 2022/08/11 10:06:54 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 10:06:55 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 2.0000e-03 eta: 4:44:37 time: 0.8419 data_time: 0.0200 memory: 19925 grad_norm: 4.1998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9625 loss: 0.9625 2022/08/11 10:07:12 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 2.0000e-03 eta: 4:44:20 time: 0.8492 data_time: 0.0277 memory: 19925 grad_norm: 4.2160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/08/11 10:07:29 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 2.0000e-03 eta: 4:44:03 time: 0.8373 data_time: 0.0196 memory: 19925 grad_norm: 4.1774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9415 loss: 0.9415 2022/08/11 10:07:46 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 2.0000e-03 eta: 4:43:45 time: 0.8421 data_time: 0.0184 memory: 19925 grad_norm: 4.3707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9051 loss: 0.9051 2022/08/11 10:08:05 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 2.0000e-03 eta: 4:43:29 time: 0.9380 data_time: 0.0177 memory: 19925 grad_norm: 4.2501 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8195 loss: 0.8195 2022/08/11 10:08:21 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 2.0000e-03 eta: 4:43:11 time: 0.8308 data_time: 0.0185 memory: 19925 grad_norm: 4.1597 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8108 loss: 0.8108 2022/08/11 10:08:38 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 2.0000e-03 eta: 4:42:54 time: 0.8381 data_time: 0.0178 memory: 19925 grad_norm: 4.3307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9551 loss: 0.9551 2022/08/11 10:08:55 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 2.0000e-03 eta: 4:42:37 time: 0.8447 data_time: 0.0179 memory: 19925 grad_norm: 4.2866 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0482 loss: 1.0482 2022/08/11 10:09:12 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 2.0000e-03 eta: 4:42:20 time: 0.8354 data_time: 0.0179 memory: 19925 grad_norm: 4.2230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9765 loss: 0.9765 2022/08/11 10:09:28 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 2.0000e-03 eta: 4:42:03 time: 0.8348 data_time: 0.0171 memory: 19925 grad_norm: 4.1733 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/08/11 10:09:45 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 2.0000e-03 eta: 4:41:45 time: 0.8376 data_time: 0.0190 memory: 19925 grad_norm: 4.3090 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9021 loss: 0.9021 2022/08/11 10:10:02 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 2.0000e-03 eta: 4:41:28 time: 0.8325 data_time: 0.0174 memory: 19925 grad_norm: 4.3891 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/08/11 10:10:19 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 2.0000e-03 eta: 4:41:11 time: 0.8535 data_time: 0.0300 memory: 19925 grad_norm: 4.2275 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9977 loss: 0.9977 2022/08/11 10:10:36 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 2.0000e-03 eta: 4:40:54 time: 0.8417 data_time: 0.0175 memory: 19925 grad_norm: 4.2279 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0484 loss: 1.0484 2022/08/11 10:10:52 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 2.0000e-03 eta: 4:40:36 time: 0.8332 data_time: 0.0190 memory: 19925 grad_norm: 4.1865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8114 loss: 0.8114 2022/08/11 10:11:09 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 2.0000e-03 eta: 4:40:19 time: 0.8296 data_time: 0.0184 memory: 19925 grad_norm: 4.3549 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8760 loss: 0.8760 2022/08/11 10:11:26 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 2.0000e-03 eta: 4:40:02 time: 0.8392 data_time: 0.0235 memory: 19925 grad_norm: 4.2773 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9240 loss: 0.9240 2022/08/11 10:11:42 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 2.0000e-03 eta: 4:39:45 time: 0.8290 data_time: 0.0188 memory: 19925 grad_norm: 4.2974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1252 loss: 1.1252 2022/08/11 10:11:59 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 2.0000e-03 eta: 4:39:28 time: 0.8305 data_time: 0.0203 memory: 19925 grad_norm: 4.2969 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9111 loss: 0.9111 2022/08/11 10:12:16 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 2.0000e-03 eta: 4:39:10 time: 0.8324 data_time: 0.0185 memory: 19925 grad_norm: 4.1614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8978 loss: 0.8978 2022/08/11 10:12:32 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 2.0000e-03 eta: 4:38:53 time: 0.8323 data_time: 0.0178 memory: 19925 grad_norm: 4.2732 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8920 loss: 0.8920 2022/08/11 10:12:49 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 2.0000e-03 eta: 4:38:36 time: 0.8336 data_time: 0.0181 memory: 19925 grad_norm: 4.3244 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9856 loss: 0.9856 2022/08/11 10:13:06 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 2.0000e-03 eta: 4:38:19 time: 0.8315 data_time: 0.0179 memory: 19925 grad_norm: 4.3418 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9979 loss: 0.9979 2022/08/11 10:13:22 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 2.0000e-03 eta: 4:38:01 time: 0.8310 data_time: 0.0178 memory: 19925 grad_norm: 4.3068 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7228 loss: 0.7228 2022/08/11 10:13:39 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 2.0000e-03 eta: 4:37:44 time: 0.8309 data_time: 0.0185 memory: 19925 grad_norm: 4.3604 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9560 loss: 0.9560 2022/08/11 10:13:55 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 2.0000e-03 eta: 4:37:27 time: 0.8304 data_time: 0.0187 memory: 19925 grad_norm: 4.4076 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9959 loss: 0.9959 2022/08/11 10:14:12 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 2.0000e-03 eta: 4:37:10 time: 0.8316 data_time: 0.0189 memory: 19925 grad_norm: 4.3183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9290 loss: 0.9290 2022/08/11 10:14:29 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 2.0000e-03 eta: 4:36:52 time: 0.8375 data_time: 0.0188 memory: 19925 grad_norm: 4.2530 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9078 loss: 0.9078 2022/08/11 10:14:45 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 2.0000e-03 eta: 4:36:35 time: 0.8331 data_time: 0.0202 memory: 19925 grad_norm: 4.2884 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8896 loss: 0.8896 2022/08/11 10:15:02 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 2.0000e-03 eta: 4:36:18 time: 0.8326 data_time: 0.0175 memory: 19925 grad_norm: 4.2527 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9437 loss: 0.9437 2022/08/11 10:15:19 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 2.0000e-03 eta: 4:36:01 time: 0.8394 data_time: 0.0287 memory: 19925 grad_norm: 4.1995 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9192 loss: 0.9192 2022/08/11 10:15:36 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 2.0000e-03 eta: 4:35:43 time: 0.8364 data_time: 0.0174 memory: 19925 grad_norm: 4.3334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0169 loss: 1.0169 2022/08/11 10:15:52 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 2.0000e-03 eta: 4:35:26 time: 0.8352 data_time: 0.0192 memory: 19925 grad_norm: 4.3336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8970 loss: 0.8970 2022/08/11 10:16:09 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 2.0000e-03 eta: 4:35:09 time: 0.8315 data_time: 0.0167 memory: 19925 grad_norm: 4.2786 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/11 10:16:26 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 2.0000e-03 eta: 4:34:52 time: 0.8353 data_time: 0.0178 memory: 19925 grad_norm: 4.1909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/11 10:16:42 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 2.0000e-03 eta: 4:34:34 time: 0.8331 data_time: 0.0174 memory: 19925 grad_norm: 4.3107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0646 loss: 1.0646 2022/08/11 10:16:59 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 2.0000e-03 eta: 4:34:17 time: 0.8391 data_time: 0.0198 memory: 19925 grad_norm: 4.2599 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9338 loss: 0.9338 2022/08/11 10:17:16 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 2.0000e-03 eta: 4:34:00 time: 0.8408 data_time: 0.0181 memory: 19925 grad_norm: 4.3235 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9168 loss: 0.9168 2022/08/11 10:17:33 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 2.0000e-03 eta: 4:33:43 time: 0.8441 data_time: 0.0193 memory: 19925 grad_norm: 4.3140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/08/11 10:17:51 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 2.0000e-03 eta: 4:33:26 time: 0.9150 data_time: 0.0166 memory: 19925 grad_norm: 4.2311 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/11 10:18:08 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 2.0000e-03 eta: 4:33:09 time: 0.8340 data_time: 0.0184 memory: 19925 grad_norm: 4.3887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8978 loss: 0.8978 2022/08/11 10:18:25 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 2.0000e-03 eta: 4:32:52 time: 0.8372 data_time: 0.0169 memory: 19925 grad_norm: 4.3194 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9106 loss: 0.9106 2022/08/11 10:18:41 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 2.0000e-03 eta: 4:32:34 time: 0.8402 data_time: 0.0206 memory: 19925 grad_norm: 4.3888 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0348 loss: 1.0348 2022/08/11 10:18:58 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 2.0000e-03 eta: 4:32:17 time: 0.8405 data_time: 0.0168 memory: 19925 grad_norm: 4.3141 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9322 loss: 0.9322 2022/08/11 10:19:16 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 2.0000e-03 eta: 4:32:00 time: 0.8934 data_time: 0.0296 memory: 19925 grad_norm: 4.3935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9564 loss: 0.9564 2022/08/11 10:19:33 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 2.0000e-03 eta: 4:31:43 time: 0.8482 data_time: 0.0158 memory: 19925 grad_norm: 4.1624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8690 loss: 0.8690 2022/08/11 10:19:55 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 2.0000e-03 eta: 4:31:27 time: 1.1005 data_time: 0.0178 memory: 19925 grad_norm: 4.2793 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9841 loss: 0.9841 2022/08/11 10:20:12 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 2.0000e-03 eta: 4:31:10 time: 0.8432 data_time: 0.0178 memory: 19925 grad_norm: 4.2211 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8961 loss: 0.8961 2022/08/11 10:20:30 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 2.0000e-03 eta: 4:30:53 time: 0.8812 data_time: 0.0195 memory: 19925 grad_norm: 4.1967 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8533 loss: 0.8533 2022/08/11 10:20:51 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 2.0000e-03 eta: 4:30:37 time: 1.0422 data_time: 0.0175 memory: 19925 grad_norm: 4.2960 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9137 loss: 0.9137 2022/08/11 10:21:06 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 10:21:07 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 2.0000e-03 eta: 4:30:20 time: 0.8373 data_time: 0.0177 memory: 19925 grad_norm: 4.2718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9253 loss: 0.9253 2022/08/11 10:21:25 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 2.0000e-03 eta: 4:30:03 time: 0.8967 data_time: 0.0155 memory: 19925 grad_norm: 4.4135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9341 loss: 0.9341 2022/08/11 10:21:47 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 2.0000e-03 eta: 4:29:47 time: 1.0688 data_time: 0.0184 memory: 19925 grad_norm: 4.3232 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8708 loss: 0.8708 2022/08/11 10:22:04 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 2.0000e-03 eta: 4:29:30 time: 0.8501 data_time: 0.0289 memory: 19925 grad_norm: 4.3496 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1105 loss: 1.1105 2022/08/11 10:22:20 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 2.0000e-03 eta: 4:29:12 time: 0.8378 data_time: 0.0191 memory: 19925 grad_norm: 4.3388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/11 10:22:37 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 2.0000e-03 eta: 4:28:55 time: 0.8323 data_time: 0.0155 memory: 19925 grad_norm: 4.3120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9417 loss: 0.9417 2022/08/11 10:22:54 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 2.0000e-03 eta: 4:28:38 time: 0.8335 data_time: 0.0191 memory: 19925 grad_norm: 4.2916 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9644 loss: 0.9644 2022/08/11 10:23:10 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 2.0000e-03 eta: 4:28:21 time: 0.8307 data_time: 0.0161 memory: 19925 grad_norm: 4.2508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8545 loss: 0.8545 2022/08/11 10:23:26 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 10:23:26 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 2.0000e-03 eta: 4:28:21 time: 0.8124 data_time: 0.0161 memory: 19925 grad_norm: 4.5020 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9888 loss: 0.9888 2022/08/11 10:23:40 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:01:33 time: 0.6951 data_time: 0.4613 memory: 2570 2022/08/11 10:23:54 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:01:22 time: 0.7165 data_time: 0.4854 memory: 2570 2022/08/11 10:24:11 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:01:18 time: 0.8219 data_time: 0.5917 memory: 2570 2022/08/11 10:24:27 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:01:02 time: 0.8267 data_time: 0.5955 memory: 2570 2022/08/11 10:24:37 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:27 time: 0.5000 data_time: 0.2714 memory: 2570 2022/08/11 10:25:00 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:40 time: 1.1513 data_time: 0.9232 memory: 2570 2022/08/11 10:25:09 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:06 time: 0.4298 data_time: 0.1997 memory: 2570 2022/08/11 10:25:27 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.7124 acc/top5: 0.9024 acc/mean1: 0.7124 2022/08/11 10:25:54 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 2.0000e-03 eta: 4:27:46 time: 1.3407 data_time: 0.3140 memory: 19925 grad_norm: 4.1169 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/11 10:26:10 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 2.0000e-03 eta: 4:27:28 time: 0.8359 data_time: 0.0183 memory: 19925 grad_norm: 4.2369 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9475 loss: 0.9475 2022/08/11 10:26:34 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 2.0000e-03 eta: 4:27:13 time: 1.1551 data_time: 0.0159 memory: 19925 grad_norm: 4.1915 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/11 10:26:50 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 2.0000e-03 eta: 4:26:56 time: 0.8351 data_time: 0.0188 memory: 19925 grad_norm: 4.1532 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9285 loss: 0.9285 2022/08/11 10:27:07 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 2.0000e-03 eta: 4:26:38 time: 0.8341 data_time: 0.0168 memory: 19925 grad_norm: 4.2581 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0984 loss: 1.0984 2022/08/11 10:27:24 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 2.0000e-03 eta: 4:26:21 time: 0.8442 data_time: 0.0225 memory: 19925 grad_norm: 4.2768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/08/11 10:27:41 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 2.0000e-03 eta: 4:26:04 time: 0.8420 data_time: 0.0167 memory: 19925 grad_norm: 4.3193 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8479 loss: 0.8479 2022/08/11 10:28:00 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 2.0000e-03 eta: 4:25:47 time: 0.9473 data_time: 0.1294 memory: 19925 grad_norm: 4.1753 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7733 loss: 0.7733 2022/08/11 10:28:17 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 2.0000e-03 eta: 4:25:30 time: 0.8475 data_time: 0.0155 memory: 19925 grad_norm: 4.3392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/08/11 10:28:37 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 2.0000e-03 eta: 4:25:14 time: 1.0408 data_time: 0.0183 memory: 19925 grad_norm: 4.2735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0622 loss: 1.0622 2022/08/11 10:28:54 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 2.0000e-03 eta: 4:24:57 time: 0.8397 data_time: 0.0174 memory: 19925 grad_norm: 4.2346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7875 loss: 0.7875 2022/08/11 10:29:11 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 2.0000e-03 eta: 4:24:40 time: 0.8372 data_time: 0.0196 memory: 19925 grad_norm: 4.3254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8436 loss: 0.8436 2022/08/11 10:29:28 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 2.0000e-03 eta: 4:24:22 time: 0.8716 data_time: 0.0153 memory: 19925 grad_norm: 4.2051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8977 loss: 0.8977 2022/08/11 10:29:52 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 2.0000e-03 eta: 4:24:07 time: 1.1886 data_time: 0.0184 memory: 19925 grad_norm: 4.3080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/11 10:30:09 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 2.0000e-03 eta: 4:23:50 time: 0.8543 data_time: 0.0173 memory: 19925 grad_norm: 4.3141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/11 10:30:28 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 2.0000e-03 eta: 4:23:33 time: 0.9332 data_time: 0.0247 memory: 19925 grad_norm: 4.2762 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/08/11 10:30:45 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 2.0000e-03 eta: 4:23:16 time: 0.8459 data_time: 0.0160 memory: 19925 grad_norm: 4.1839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0335 loss: 1.0335 2022/08/11 10:31:02 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 2.0000e-03 eta: 4:22:59 time: 0.8395 data_time: 0.0188 memory: 19925 grad_norm: 4.2840 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0070 loss: 1.0070 2022/08/11 10:31:19 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 2.0000e-03 eta: 4:22:42 time: 0.8415 data_time: 0.0166 memory: 19925 grad_norm: 4.3162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0050 loss: 1.0050 2022/08/11 10:31:36 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 2.0000e-03 eta: 4:22:25 time: 0.8946 data_time: 0.0209 memory: 19925 grad_norm: 4.2410 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/08/11 10:31:53 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 2.0000e-03 eta: 4:22:07 time: 0.8409 data_time: 0.0152 memory: 19925 grad_norm: 4.1887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/08/11 10:32:10 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 2.0000e-03 eta: 4:21:50 time: 0.8459 data_time: 0.0196 memory: 19925 grad_norm: 4.3596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/08/11 10:32:27 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 2.0000e-03 eta: 4:21:33 time: 0.8517 data_time: 0.0170 memory: 19925 grad_norm: 4.3863 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9549 loss: 0.9549 2022/08/11 10:32:45 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 2.0000e-03 eta: 4:21:16 time: 0.8719 data_time: 0.0204 memory: 19925 grad_norm: 4.4518 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8922 loss: 0.8922 2022/08/11 10:33:02 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 2.0000e-03 eta: 4:20:59 time: 0.8413 data_time: 0.0160 memory: 19925 grad_norm: 4.2473 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/08/11 10:33:19 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 2.0000e-03 eta: 4:20:42 time: 0.8469 data_time: 0.0177 memory: 19925 grad_norm: 4.3711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/08/11 10:33:37 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 2.0000e-03 eta: 4:20:25 time: 0.9280 data_time: 0.0164 memory: 19925 grad_norm: 4.3715 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8575 loss: 0.8575 2022/08/11 10:33:54 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 2.0000e-03 eta: 4:20:08 time: 0.8465 data_time: 0.0192 memory: 19925 grad_norm: 4.1768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7892 loss: 0.7892 2022/08/11 10:34:11 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 2.0000e-03 eta: 4:19:51 time: 0.8382 data_time: 0.0180 memory: 19925 grad_norm: 4.3799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/11 10:34:28 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 2.0000e-03 eta: 4:19:33 time: 0.8502 data_time: 0.0192 memory: 19925 grad_norm: 4.3848 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9803 loss: 0.9803 2022/08/11 10:34:48 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 2.0000e-03 eta: 4:19:17 time: 1.0011 data_time: 0.0157 memory: 19925 grad_norm: 4.2328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8554 loss: 0.8554 2022/08/11 10:35:13 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 2.0000e-03 eta: 4:19:02 time: 1.2652 data_time: 0.0187 memory: 19925 grad_norm: 4.2070 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8326 loss: 0.8326 2022/08/11 10:35:30 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 2.0000e-03 eta: 4:18:45 time: 0.8498 data_time: 0.0242 memory: 19925 grad_norm: 4.2496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8900 loss: 0.8900 2022/08/11 10:35:47 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 2.0000e-03 eta: 4:18:27 time: 0.8407 data_time: 0.0198 memory: 19925 grad_norm: 4.3033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9324 loss: 0.9324 2022/08/11 10:36:06 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 2.0000e-03 eta: 4:18:11 time: 0.9383 data_time: 0.0170 memory: 19925 grad_norm: 4.2982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9059 loss: 0.9059 2022/08/11 10:36:29 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 2.0000e-03 eta: 4:17:55 time: 1.1535 data_time: 0.3287 memory: 19925 grad_norm: 4.2685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6701 loss: 0.6701 2022/08/11 10:36:46 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 2.0000e-03 eta: 4:17:38 time: 0.8352 data_time: 0.0146 memory: 19925 grad_norm: 4.2546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/11 10:37:02 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 2.0000e-03 eta: 4:17:21 time: 0.8364 data_time: 0.0183 memory: 19925 grad_norm: 4.3077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/08/11 10:37:19 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 2.0000e-03 eta: 4:17:03 time: 0.8352 data_time: 0.0173 memory: 19925 grad_norm: 4.2860 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/08/11 10:37:36 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 2.0000e-03 eta: 4:16:46 time: 0.8406 data_time: 0.0261 memory: 19925 grad_norm: 4.3605 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/08/11 10:37:54 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 2.0000e-03 eta: 4:16:29 time: 0.9152 data_time: 0.0189 memory: 19925 grad_norm: 4.2894 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8259 loss: 0.8259 2022/08/11 10:38:11 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 10:38:11 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 2.0000e-03 eta: 4:16:12 time: 0.8369 data_time: 0.0189 memory: 19925 grad_norm: 4.3493 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/08/11 10:38:28 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 2.0000e-03 eta: 4:15:55 time: 0.8365 data_time: 0.0174 memory: 19925 grad_norm: 4.3258 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9290 loss: 0.9290 2022/08/11 10:38:45 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 2.0000e-03 eta: 4:15:38 time: 0.8475 data_time: 0.0196 memory: 19925 grad_norm: 4.4926 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9955 loss: 0.9955 2022/08/11 10:39:02 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 2.0000e-03 eta: 4:15:21 time: 0.8874 data_time: 0.0162 memory: 19925 grad_norm: 4.2316 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9107 loss: 0.9107 2022/08/11 10:39:19 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 2.0000e-03 eta: 4:15:03 time: 0.8427 data_time: 0.0173 memory: 19925 grad_norm: 4.2516 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9755 loss: 0.9755 2022/08/11 10:39:36 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 2.0000e-03 eta: 4:14:46 time: 0.8428 data_time: 0.0169 memory: 19925 grad_norm: 4.3288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/08/11 10:39:53 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 2.0000e-03 eta: 4:14:29 time: 0.8371 data_time: 0.0195 memory: 19925 grad_norm: 4.4672 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0237 loss: 1.0237 2022/08/11 10:40:10 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 2.0000e-03 eta: 4:14:12 time: 0.8484 data_time: 0.0182 memory: 19925 grad_norm: 4.3792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/08/11 10:40:27 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 2.0000e-03 eta: 4:13:55 time: 0.8366 data_time: 0.0197 memory: 19925 grad_norm: 4.3165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9413 loss: 0.9413 2022/08/11 10:40:43 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 2.0000e-03 eta: 4:13:37 time: 0.8386 data_time: 0.0181 memory: 19925 grad_norm: 4.2839 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9487 loss: 0.9487 2022/08/11 10:41:00 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 2.0000e-03 eta: 4:13:20 time: 0.8455 data_time: 0.0189 memory: 19925 grad_norm: 4.3148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/08/11 10:41:17 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 2.0000e-03 eta: 4:13:03 time: 0.8401 data_time: 0.0163 memory: 19925 grad_norm: 4.3137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8481 loss: 0.8481 2022/08/11 10:41:34 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 2.0000e-03 eta: 4:12:46 time: 0.8404 data_time: 0.0183 memory: 19925 grad_norm: 4.3229 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9977 loss: 0.9977 2022/08/11 10:41:51 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 2.0000e-03 eta: 4:12:29 time: 0.8405 data_time: 0.0191 memory: 19925 grad_norm: 4.2347 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/11 10:42:08 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 2.0000e-03 eta: 4:12:11 time: 0.8462 data_time: 0.0180 memory: 19925 grad_norm: 4.3302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/08/11 10:42:25 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 2.0000e-03 eta: 4:11:54 time: 0.8558 data_time: 0.0236 memory: 19925 grad_norm: 4.3474 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8193 loss: 0.8193 2022/08/11 10:42:42 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 2.0000e-03 eta: 4:11:37 time: 0.8419 data_time: 0.0197 memory: 19925 grad_norm: 4.2904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7991 loss: 0.7991 2022/08/11 10:42:58 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 2.0000e-03 eta: 4:11:20 time: 0.8404 data_time: 0.0164 memory: 19925 grad_norm: 4.2462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/08/11 10:43:15 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 2.0000e-03 eta: 4:11:03 time: 0.8448 data_time: 0.0211 memory: 19925 grad_norm: 4.4291 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9026 loss: 0.9026 2022/08/11 10:43:32 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 2.0000e-03 eta: 4:10:46 time: 0.8400 data_time: 0.0183 memory: 19925 grad_norm: 4.2825 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8908 loss: 0.8908 2022/08/11 10:43:49 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 2.0000e-03 eta: 4:10:28 time: 0.8377 data_time: 0.0170 memory: 19925 grad_norm: 4.3043 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/08/11 10:44:06 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 2.0000e-03 eta: 4:10:11 time: 0.8492 data_time: 0.0164 memory: 19925 grad_norm: 4.3733 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9429 loss: 0.9429 2022/08/11 10:44:23 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 2.0000e-03 eta: 4:09:54 time: 0.8386 data_time: 0.0184 memory: 19925 grad_norm: 4.1594 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7754 loss: 0.7754 2022/08/11 10:44:40 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 2.0000e-03 eta: 4:09:37 time: 0.8625 data_time: 0.0174 memory: 19925 grad_norm: 4.2293 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/08/11 10:44:57 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 2.0000e-03 eta: 4:09:20 time: 0.8392 data_time: 0.0195 memory: 19925 grad_norm: 4.3330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9248 loss: 0.9248 2022/08/11 10:45:13 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 2.0000e-03 eta: 4:09:02 time: 0.8400 data_time: 0.0176 memory: 19925 grad_norm: 4.2687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9188 loss: 0.9188 2022/08/11 10:45:34 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 2.0000e-03 eta: 4:08:46 time: 1.0381 data_time: 0.0201 memory: 19925 grad_norm: 4.3679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8564 loss: 0.8564 2022/08/11 10:45:51 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 2.0000e-03 eta: 4:08:29 time: 0.8349 data_time: 0.0161 memory: 19925 grad_norm: 4.3054 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8904 loss: 0.8904 2022/08/11 10:46:08 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 2.0000e-03 eta: 4:08:12 time: 0.8371 data_time: 0.0188 memory: 19925 grad_norm: 4.4081 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8547 loss: 0.8547 2022/08/11 10:46:24 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 2.0000e-03 eta: 4:07:55 time: 0.8324 data_time: 0.0168 memory: 19925 grad_norm: 4.3343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7604 loss: 0.7604 2022/08/11 10:46:41 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 2.0000e-03 eta: 4:07:37 time: 0.8373 data_time: 0.0186 memory: 19925 grad_norm: 4.3399 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7629 loss: 0.7629 2022/08/11 10:46:58 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 2.0000e-03 eta: 4:07:20 time: 0.8480 data_time: 0.0253 memory: 19925 grad_norm: 4.3328 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7269 loss: 0.7269 2022/08/11 10:47:15 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 2.0000e-03 eta: 4:07:03 time: 0.8452 data_time: 0.0206 memory: 19925 grad_norm: 4.3375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8846 loss: 0.8846 2022/08/11 10:47:32 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 2.0000e-03 eta: 4:06:46 time: 0.8383 data_time: 0.0159 memory: 19925 grad_norm: 4.2302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8342 loss: 0.8342 2022/08/11 10:47:49 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 2.0000e-03 eta: 4:06:29 time: 0.8411 data_time: 0.0193 memory: 19925 grad_norm: 4.3450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9372 loss: 0.9372 2022/08/11 10:48:07 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 2.0000e-03 eta: 4:06:12 time: 0.9072 data_time: 0.0192 memory: 19925 grad_norm: 4.3471 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9275 loss: 0.9275 2022/08/11 10:48:23 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 2.0000e-03 eta: 4:05:54 time: 0.8352 data_time: 0.0167 memory: 19925 grad_norm: 4.4744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/11 10:48:40 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 2.0000e-03 eta: 4:05:37 time: 0.8427 data_time: 0.0174 memory: 19925 grad_norm: 4.3739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9310 loss: 0.9310 2022/08/11 10:48:57 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 2.0000e-03 eta: 4:05:20 time: 0.8390 data_time: 0.0182 memory: 19925 grad_norm: 4.5183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0662 loss: 1.0662 2022/08/11 10:49:14 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 2.0000e-03 eta: 4:05:03 time: 0.8321 data_time: 0.0169 memory: 19925 grad_norm: 4.3059 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8904 loss: 0.8904 2022/08/11 10:49:31 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 2.0000e-03 eta: 4:04:46 time: 0.8389 data_time: 0.0181 memory: 19925 grad_norm: 4.2385 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9386 loss: 0.9386 2022/08/11 10:49:47 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 2.0000e-03 eta: 4:04:28 time: 0.8325 data_time: 0.0167 memory: 19925 grad_norm: 4.4264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0434 loss: 1.0434 2022/08/11 10:50:04 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 2.0000e-03 eta: 4:04:11 time: 0.8371 data_time: 0.0195 memory: 19925 grad_norm: 4.2370 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7958 loss: 0.7958 2022/08/11 10:50:22 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 2.0000e-03 eta: 4:03:54 time: 0.8808 data_time: 0.0447 memory: 19925 grad_norm: 4.4419 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8097 loss: 0.8097 2022/08/11 10:50:39 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 2.0000e-03 eta: 4:03:37 time: 0.8466 data_time: 0.0185 memory: 19925 grad_norm: 4.3544 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9917 loss: 0.9917 2022/08/11 10:50:55 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 2.0000e-03 eta: 4:03:20 time: 0.8308 data_time: 0.0177 memory: 19925 grad_norm: 4.3512 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7997 loss: 0.7997 2022/08/11 10:51:12 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 2.0000e-03 eta: 4:03:03 time: 0.8372 data_time: 0.0195 memory: 19925 grad_norm: 4.2119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7299 loss: 0.7299 2022/08/11 10:51:29 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 2.0000e-03 eta: 4:02:45 time: 0.8406 data_time: 0.0155 memory: 19925 grad_norm: 4.2976 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9487 loss: 0.9487 2022/08/11 10:51:46 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 2.0000e-03 eta: 4:02:28 time: 0.8523 data_time: 0.0278 memory: 19925 grad_norm: 4.5176 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/08/11 10:52:03 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 2.0000e-03 eta: 4:02:11 time: 0.8408 data_time: 0.0176 memory: 19925 grad_norm: 4.3231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8939 loss: 0.8939 2022/08/11 10:52:19 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 10:52:19 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 2.0000e-03 eta: 4:01:54 time: 0.8408 data_time: 0.0189 memory: 19925 grad_norm: 4.3505 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8973 loss: 0.8973 2022/08/11 10:52:36 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 2.0000e-03 eta: 4:01:37 time: 0.8430 data_time: 0.0173 memory: 19925 grad_norm: 4.4087 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9665 loss: 0.9665 2022/08/11 10:52:52 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 10:52:52 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 2.0000e-03 eta: 4:01:37 time: 0.8244 data_time: 0.0162 memory: 19925 grad_norm: 4.3549 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9230 loss: 0.9230 2022/08/11 10:53:04 - mmengine - INFO - Epoch(val) [41][20/155] eta: 0:01:22 time: 0.6148 data_time: 0.3811 memory: 2570 2022/08/11 10:53:19 - mmengine - INFO - Epoch(val) [41][40/155] eta: 0:01:25 time: 0.7424 data_time: 0.5119 memory: 2570 2022/08/11 10:53:35 - mmengine - INFO - Epoch(val) [41][60/155] eta: 0:01:15 time: 0.7961 data_time: 0.5663 memory: 2570 2022/08/11 10:53:48 - mmengine - INFO - Epoch(val) [41][80/155] eta: 0:00:49 time: 0.6666 data_time: 0.4351 memory: 2570 2022/08/11 10:53:58 - mmengine - INFO - Epoch(val) [41][100/155] eta: 0:00:25 time: 0.4633 data_time: 0.2331 memory: 2570 2022/08/11 10:54:13 - mmengine - INFO - Epoch(val) [41][120/155] eta: 0:00:25 time: 0.7421 data_time: 0.5131 memory: 2570 2022/08/11 10:54:23 - mmengine - INFO - Epoch(val) [41][140/155] eta: 0:00:08 time: 0.5422 data_time: 0.3131 memory: 2570 2022/08/11 10:54:40 - mmengine - INFO - Epoch(val) [41][155/155] acc/top1: 0.7119 acc/top5: 0.9031 acc/mean1: 0.7119 2022/08/11 10:55:05 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 2.0000e-03 eta: 4:01:01 time: 1.2287 data_time: 0.4049 memory: 19925 grad_norm: 4.3312 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/11 10:55:23 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 2.0000e-03 eta: 4:00:44 time: 0.8996 data_time: 0.0770 memory: 19925 grad_norm: 4.3007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8411 loss: 0.8411 2022/08/11 10:55:39 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 2.0000e-03 eta: 4:00:27 time: 0.8365 data_time: 0.0184 memory: 19925 grad_norm: 4.2887 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/11 10:55:56 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 2.0000e-03 eta: 4:00:10 time: 0.8398 data_time: 0.0180 memory: 19925 grad_norm: 4.3576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8052 loss: 0.8052 2022/08/11 10:56:13 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 2.0000e-03 eta: 3:59:53 time: 0.8357 data_time: 0.0184 memory: 19925 grad_norm: 4.2400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8641 loss: 0.8641 2022/08/11 10:56:30 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 2.0000e-03 eta: 3:59:36 time: 0.8370 data_time: 0.0177 memory: 19925 grad_norm: 4.3500 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/11 10:56:46 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 2.0000e-03 eta: 3:59:18 time: 0.8376 data_time: 0.0174 memory: 19925 grad_norm: 4.1559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8714 loss: 0.8714 2022/08/11 10:57:03 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 2.0000e-03 eta: 3:59:01 time: 0.8360 data_time: 0.0177 memory: 19925 grad_norm: 4.2935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/11 10:57:20 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 2.0000e-03 eta: 3:58:44 time: 0.8390 data_time: 0.0176 memory: 19925 grad_norm: 4.3177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/08/11 10:57:37 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 2.0000e-03 eta: 3:58:27 time: 0.8345 data_time: 0.0185 memory: 19925 grad_norm: 4.3286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7713 loss: 0.7713 2022/08/11 10:57:55 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 2.0000e-03 eta: 3:58:10 time: 0.9015 data_time: 0.0645 memory: 19925 grad_norm: 4.3450 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8685 loss: 0.8685 2022/08/11 10:58:11 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 2.0000e-03 eta: 3:57:53 time: 0.8334 data_time: 0.0169 memory: 19925 grad_norm: 4.3212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8063 loss: 0.8063 2022/08/11 10:58:28 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 2.0000e-03 eta: 3:57:35 time: 0.8287 data_time: 0.0183 memory: 19925 grad_norm: 4.2949 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/11 10:58:45 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 2.0000e-03 eta: 3:57:18 time: 0.8347 data_time: 0.0192 memory: 19925 grad_norm: 4.2419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/08/11 10:59:01 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 2.0000e-03 eta: 3:57:01 time: 0.8383 data_time: 0.0181 memory: 19925 grad_norm: 4.2451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/11 10:59:18 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 2.0000e-03 eta: 3:56:44 time: 0.8317 data_time: 0.0166 memory: 19925 grad_norm: 4.2855 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9441 loss: 0.9441 2022/08/11 10:59:35 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 2.0000e-03 eta: 3:56:26 time: 0.8339 data_time: 0.0175 memory: 19925 grad_norm: 4.3645 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/11 10:59:51 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 2.0000e-03 eta: 3:56:09 time: 0.8381 data_time: 0.0160 memory: 19925 grad_norm: 4.3827 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8264 loss: 0.8264 2022/08/11 11:00:08 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 2.0000e-03 eta: 3:55:52 time: 0.8431 data_time: 0.0184 memory: 19925 grad_norm: 4.2453 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8181 loss: 0.8181 2022/08/11 11:00:25 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 2.0000e-03 eta: 3:55:35 time: 0.8584 data_time: 0.0269 memory: 19925 grad_norm: 4.2945 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9310 loss: 0.9310 2022/08/11 11:00:42 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 2.0000e-03 eta: 3:55:18 time: 0.8362 data_time: 0.0189 memory: 19925 grad_norm: 4.2912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8362 loss: 0.8362 2022/08/11 11:00:59 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 2.0000e-03 eta: 3:55:01 time: 0.8409 data_time: 0.0175 memory: 19925 grad_norm: 4.4202 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/11 11:01:16 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 2.0000e-03 eta: 3:54:43 time: 0.8383 data_time: 0.0178 memory: 19925 grad_norm: 4.1746 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9038 loss: 0.9038 2022/08/11 11:01:32 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 2.0000e-03 eta: 3:54:26 time: 0.8352 data_time: 0.0187 memory: 19925 grad_norm: 4.3958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8978 loss: 0.8978 2022/08/11 11:01:49 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 2.0000e-03 eta: 3:54:09 time: 0.8424 data_time: 0.0175 memory: 19925 grad_norm: 4.1801 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9306 loss: 0.9306 2022/08/11 11:02:06 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 2.0000e-03 eta: 3:53:52 time: 0.8413 data_time: 0.0180 memory: 19925 grad_norm: 4.3437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7852 loss: 0.7852 2022/08/11 11:02:23 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 2.0000e-03 eta: 3:53:35 time: 0.8441 data_time: 0.0175 memory: 19925 grad_norm: 4.2990 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8052 loss: 0.8052 2022/08/11 11:02:40 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 2.0000e-03 eta: 3:53:17 time: 0.8399 data_time: 0.0184 memory: 19925 grad_norm: 4.2465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8223 loss: 0.8223 2022/08/11 11:02:57 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 2.0000e-03 eta: 3:53:00 time: 0.8396 data_time: 0.0167 memory: 19925 grad_norm: 4.3941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7851 loss: 0.7851 2022/08/11 11:03:13 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 2.0000e-03 eta: 3:52:43 time: 0.8391 data_time: 0.0191 memory: 19925 grad_norm: 4.2156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/08/11 11:03:30 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 2.0000e-03 eta: 3:52:26 time: 0.8424 data_time: 0.0159 memory: 19925 grad_norm: 4.5387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9632 loss: 0.9632 2022/08/11 11:03:47 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 2.0000e-03 eta: 3:52:09 time: 0.8431 data_time: 0.0183 memory: 19925 grad_norm: 4.4487 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/08/11 11:04:04 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 2.0000e-03 eta: 3:51:52 time: 0.8465 data_time: 0.0180 memory: 19925 grad_norm: 4.3086 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9382 loss: 0.9382 2022/08/11 11:04:21 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 2.0000e-03 eta: 3:51:34 time: 0.8434 data_time: 0.0181 memory: 19925 grad_norm: 4.3332 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8992 loss: 0.8992 2022/08/11 11:04:38 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 2.0000e-03 eta: 3:51:17 time: 0.8422 data_time: 0.0189 memory: 19925 grad_norm: 4.1987 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8881 loss: 0.8881 2022/08/11 11:04:55 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 2.0000e-03 eta: 3:51:00 time: 0.8374 data_time: 0.0187 memory: 19925 grad_norm: 4.2995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7449 loss: 0.7449 2022/08/11 11:05:12 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 2.0000e-03 eta: 3:50:43 time: 0.8472 data_time: 0.0162 memory: 19925 grad_norm: 4.4310 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9705 loss: 0.9705 2022/08/11 11:05:29 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 2.0000e-03 eta: 3:50:26 time: 0.8495 data_time: 0.0200 memory: 19925 grad_norm: 4.2357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7640 loss: 0.7640 2022/08/11 11:05:45 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 2.0000e-03 eta: 3:50:08 time: 0.8450 data_time: 0.0180 memory: 19925 grad_norm: 4.2889 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7790 loss: 0.7790 2022/08/11 11:06:02 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 2.0000e-03 eta: 3:49:51 time: 0.8369 data_time: 0.0173 memory: 19925 grad_norm: 4.2813 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8245 loss: 0.8245 2022/08/11 11:06:19 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 2.0000e-03 eta: 3:49:34 time: 0.8395 data_time: 0.0175 memory: 19925 grad_norm: 4.2797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7775 loss: 0.7775 2022/08/11 11:06:36 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 2.0000e-03 eta: 3:49:17 time: 0.8456 data_time: 0.0207 memory: 19925 grad_norm: 4.2695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/08/11 11:06:53 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 2.0000e-03 eta: 3:49:00 time: 0.8382 data_time: 0.0165 memory: 19925 grad_norm: 4.4679 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8189 loss: 0.8189 2022/08/11 11:07:09 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 2.0000e-03 eta: 3:48:43 time: 0.8360 data_time: 0.0174 memory: 19925 grad_norm: 4.2200 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8745 loss: 0.8745 2022/08/11 11:07:26 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 2.0000e-03 eta: 3:48:25 time: 0.8370 data_time: 0.0180 memory: 19925 grad_norm: 4.2473 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9808 loss: 0.9808 2022/08/11 11:07:43 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 2.0000e-03 eta: 3:48:08 time: 0.8373 data_time: 0.0181 memory: 19925 grad_norm: 4.4339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8647 loss: 0.8647 2022/08/11 11:08:01 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 2.0000e-03 eta: 3:47:51 time: 0.9027 data_time: 0.0172 memory: 19925 grad_norm: 4.3346 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6566 loss: 0.6566 2022/08/11 11:08:19 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 2.0000e-03 eta: 3:47:34 time: 0.9151 data_time: 0.0181 memory: 19925 grad_norm: 4.4695 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9009 loss: 0.9009 2022/08/11 11:08:20 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 11:08:36 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 2.0000e-03 eta: 3:47:17 time: 0.8342 data_time: 0.0172 memory: 19925 grad_norm: 4.3478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/08/11 11:08:53 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 2.0000e-03 eta: 3:47:00 time: 0.8448 data_time: 0.0180 memory: 19925 grad_norm: 4.2379 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8242 loss: 0.8242 2022/08/11 11:09:10 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 2.0000e-03 eta: 3:46:43 time: 0.8525 data_time: 0.0177 memory: 19925 grad_norm: 4.4948 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8017 loss: 0.8017 2022/08/11 11:09:27 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 2.0000e-03 eta: 3:46:26 time: 0.8482 data_time: 0.0182 memory: 19925 grad_norm: 4.4947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/08/11 11:09:44 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 2.0000e-03 eta: 3:46:09 time: 0.8481 data_time: 0.0240 memory: 19925 grad_norm: 4.3326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7109 loss: 0.7109 2022/08/11 11:10:01 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 2.0000e-03 eta: 3:45:51 time: 0.8493 data_time: 0.0254 memory: 19925 grad_norm: 4.3121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/11 11:10:18 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 2.0000e-03 eta: 3:45:34 time: 0.8612 data_time: 0.0187 memory: 19925 grad_norm: 4.4543 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8276 loss: 0.8276 2022/08/11 11:10:35 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 2.0000e-03 eta: 3:45:17 time: 0.8438 data_time: 0.0182 memory: 19925 grad_norm: 4.5137 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1675 loss: 1.1675 2022/08/11 11:10:52 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 2.0000e-03 eta: 3:45:00 time: 0.8329 data_time: 0.0186 memory: 19925 grad_norm: 4.4132 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8530 loss: 0.8530 2022/08/11 11:11:08 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 2.0000e-03 eta: 3:44:43 time: 0.8325 data_time: 0.0180 memory: 19925 grad_norm: 4.4176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/08/11 11:11:25 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 2.0000e-03 eta: 3:44:26 time: 0.8436 data_time: 0.0174 memory: 19925 grad_norm: 4.3367 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8839 loss: 0.8839 2022/08/11 11:11:42 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 2.0000e-03 eta: 3:44:08 time: 0.8398 data_time: 0.0189 memory: 19925 grad_norm: 4.3488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8480 loss: 0.8480 2022/08/11 11:11:59 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 2.0000e-03 eta: 3:43:51 time: 0.8415 data_time: 0.0162 memory: 19925 grad_norm: 4.3806 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/11 11:12:16 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 2.0000e-03 eta: 3:43:34 time: 0.8381 data_time: 0.0174 memory: 19925 grad_norm: 4.4327 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9263 loss: 0.9263 2022/08/11 11:12:33 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 2.0000e-03 eta: 3:43:17 time: 0.8451 data_time: 0.0177 memory: 19925 grad_norm: 4.3975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8881 loss: 0.8881 2022/08/11 11:12:49 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 2.0000e-03 eta: 3:43:00 time: 0.8362 data_time: 0.0177 memory: 19925 grad_norm: 4.2458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/11 11:13:06 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 2.0000e-03 eta: 3:42:42 time: 0.8349 data_time: 0.0169 memory: 19925 grad_norm: 4.2773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7957 loss: 0.7957 2022/08/11 11:13:23 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 2.0000e-03 eta: 3:42:25 time: 0.8345 data_time: 0.0162 memory: 19925 grad_norm: 4.3740 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9520 loss: 0.9520 2022/08/11 11:13:40 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 2.0000e-03 eta: 3:42:08 time: 0.8403 data_time: 0.0179 memory: 19925 grad_norm: 4.4571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8553 loss: 0.8553 2022/08/11 11:13:56 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 2.0000e-03 eta: 3:41:51 time: 0.8349 data_time: 0.0176 memory: 19925 grad_norm: 4.3472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9969 loss: 0.9969 2022/08/11 11:14:13 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 2.0000e-03 eta: 3:41:34 time: 0.8432 data_time: 0.0180 memory: 19925 grad_norm: 4.2767 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/08/11 11:14:30 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 2.0000e-03 eta: 3:41:16 time: 0.8432 data_time: 0.0177 memory: 19925 grad_norm: 4.3719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9231 loss: 0.9231 2022/08/11 11:14:47 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 2.0000e-03 eta: 3:40:59 time: 0.8349 data_time: 0.0173 memory: 19925 grad_norm: 4.4774 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/11 11:15:03 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 2.0000e-03 eta: 3:40:42 time: 0.8407 data_time: 0.0184 memory: 19925 grad_norm: 4.4506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9256 loss: 0.9256 2022/08/11 11:15:21 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 2.0000e-03 eta: 3:40:25 time: 0.8710 data_time: 0.0408 memory: 19925 grad_norm: 4.5219 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9421 loss: 0.9421 2022/08/11 11:15:38 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 2.0000e-03 eta: 3:40:08 time: 0.8527 data_time: 0.0202 memory: 19925 grad_norm: 4.4691 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9851 loss: 0.9851 2022/08/11 11:15:55 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 2.0000e-03 eta: 3:39:51 time: 0.8361 data_time: 0.0179 memory: 19925 grad_norm: 4.4899 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0246 loss: 1.0246 2022/08/11 11:16:11 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 2.0000e-03 eta: 3:39:33 time: 0.8339 data_time: 0.0172 memory: 19925 grad_norm: 4.4206 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9484 loss: 0.9484 2022/08/11 11:16:28 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 2.0000e-03 eta: 3:39:16 time: 0.8345 data_time: 0.0181 memory: 19925 grad_norm: 4.4244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9026 loss: 0.9026 2022/08/11 11:16:45 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 2.0000e-03 eta: 3:38:59 time: 0.8379 data_time: 0.0163 memory: 19925 grad_norm: 4.3434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8608 loss: 0.8608 2022/08/11 11:17:02 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 2.0000e-03 eta: 3:38:42 time: 0.8310 data_time: 0.0180 memory: 19925 grad_norm: 4.3447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8831 loss: 0.8831 2022/08/11 11:17:18 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 2.0000e-03 eta: 3:38:25 time: 0.8301 data_time: 0.0189 memory: 19925 grad_norm: 4.4172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8396 loss: 0.8396 2022/08/11 11:17:35 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 2.0000e-03 eta: 3:38:07 time: 0.8321 data_time: 0.0182 memory: 19925 grad_norm: 4.3479 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9140 loss: 0.9140 2022/08/11 11:17:53 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 2.0000e-03 eta: 3:37:51 time: 0.9101 data_time: 0.0192 memory: 19925 grad_norm: 4.4798 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8960 loss: 0.8960 2022/08/11 11:18:10 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 2.0000e-03 eta: 3:37:33 time: 0.8315 data_time: 0.0184 memory: 19925 grad_norm: 4.4410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9444 loss: 0.9444 2022/08/11 11:18:26 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 2.0000e-03 eta: 3:37:16 time: 0.8332 data_time: 0.0168 memory: 19925 grad_norm: 4.4084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/08/11 11:18:43 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 2.0000e-03 eta: 3:36:59 time: 0.8292 data_time: 0.0184 memory: 19925 grad_norm: 4.4377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9137 loss: 0.9137 2022/08/11 11:19:00 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 2.0000e-03 eta: 3:36:42 time: 0.8375 data_time: 0.0191 memory: 19925 grad_norm: 4.4471 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8885 loss: 0.8885 2022/08/11 11:19:16 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 2.0000e-03 eta: 3:36:24 time: 0.8337 data_time: 0.0186 memory: 19925 grad_norm: 4.4469 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9199 loss: 0.9199 2022/08/11 11:19:33 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 2.0000e-03 eta: 3:36:07 time: 0.8357 data_time: 0.0178 memory: 19925 grad_norm: 4.3828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9382 loss: 0.9382 2022/08/11 11:19:50 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 2.0000e-03 eta: 3:35:50 time: 0.8308 data_time: 0.0192 memory: 19925 grad_norm: 4.4638 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0031 loss: 1.0031 2022/08/11 11:20:06 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 2.0000e-03 eta: 3:35:33 time: 0.8299 data_time: 0.0180 memory: 19925 grad_norm: 4.3985 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7754 loss: 0.7754 2022/08/11 11:20:24 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 2.0000e-03 eta: 3:35:16 time: 0.8751 data_time: 0.0507 memory: 19925 grad_norm: 4.4867 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9755 loss: 0.9755 2022/08/11 11:20:40 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 2.0000e-03 eta: 3:34:59 time: 0.8334 data_time: 0.0178 memory: 19925 grad_norm: 4.5453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/08/11 11:20:57 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 2.0000e-03 eta: 3:34:41 time: 0.8348 data_time: 0.0221 memory: 19925 grad_norm: 4.4119 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0275 loss: 1.0275 2022/08/11 11:21:13 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 11:21:13 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 2.0000e-03 eta: 3:34:41 time: 0.8093 data_time: 0.0169 memory: 19925 grad_norm: 4.5686 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9121 loss: 0.9121 2022/08/11 11:21:13 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/11 11:21:30 - mmengine - INFO - Epoch(val) [42][20/155] eta: 0:01:42 time: 0.7564 data_time: 0.5241 memory: 2570 2022/08/11 11:21:39 - mmengine - INFO - Epoch(val) [42][40/155] eta: 0:00:53 time: 0.4616 data_time: 0.2309 memory: 2570 2022/08/11 11:21:54 - mmengine - INFO - Epoch(val) [42][60/155] eta: 0:01:09 time: 0.7270 data_time: 0.4966 memory: 2570 2022/08/11 11:22:09 - mmengine - INFO - Epoch(val) [42][80/155] eta: 0:00:55 time: 0.7447 data_time: 0.5142 memory: 2570 2022/08/11 11:22:17 - mmengine - INFO - Epoch(val) [42][100/155] eta: 0:00:24 time: 0.4372 data_time: 0.2079 memory: 2570 2022/08/11 11:22:32 - mmengine - INFO - Epoch(val) [42][120/155] eta: 0:00:26 time: 0.7439 data_time: 0.5122 memory: 2570 2022/08/11 11:22:47 - mmengine - INFO - Epoch(val) [42][140/155] eta: 0:00:10 time: 0.7104 data_time: 0.4827 memory: 2570 2022/08/11 11:23:01 - mmengine - INFO - Epoch(val) [42][155/155] acc/top1: 0.7130 acc/top5: 0.9004 acc/mean1: 0.7129 2022/08/11 11:23:24 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 2.0000e-03 eta: 3:34:06 time: 1.1307 data_time: 0.1697 memory: 19925 grad_norm: 4.3204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0088 loss: 1.0088 2022/08/11 11:23:41 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 2.0000e-03 eta: 3:33:49 time: 0.8316 data_time: 0.0178 memory: 19925 grad_norm: 4.3776 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8513 loss: 0.8513 2022/08/11 11:23:57 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 2.0000e-03 eta: 3:33:32 time: 0.8261 data_time: 0.0175 memory: 19925 grad_norm: 4.2651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8425 loss: 0.8425 2022/08/11 11:24:14 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 2.0000e-03 eta: 3:33:14 time: 0.8330 data_time: 0.0177 memory: 19925 grad_norm: 4.2957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/08/11 11:24:16 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 11:24:31 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 2.0000e-03 eta: 3:32:57 time: 0.8360 data_time: 0.0254 memory: 19925 grad_norm: 4.2835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8915 loss: 0.8915 2022/08/11 11:24:48 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 2.0000e-03 eta: 3:32:40 time: 0.8408 data_time: 0.0169 memory: 19925 grad_norm: 4.3581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8071 loss: 0.8071 2022/08/11 11:25:04 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 2.0000e-03 eta: 3:32:23 time: 0.8391 data_time: 0.0174 memory: 19925 grad_norm: 4.3792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/11 11:25:22 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 2.0000e-03 eta: 3:32:06 time: 0.8649 data_time: 0.0491 memory: 19925 grad_norm: 4.3419 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8867 loss: 0.8867 2022/08/11 11:25:38 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 2.0000e-03 eta: 3:31:49 time: 0.8413 data_time: 0.0178 memory: 19925 grad_norm: 4.3756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/11 11:25:57 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 2.0000e-03 eta: 3:31:32 time: 0.9084 data_time: 0.0161 memory: 19925 grad_norm: 4.2357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/08/11 11:26:13 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 2.0000e-03 eta: 3:31:14 time: 0.8394 data_time: 0.0183 memory: 19925 grad_norm: 4.3978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/08/11 11:26:30 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 2.0000e-03 eta: 3:30:57 time: 0.8459 data_time: 0.0170 memory: 19925 grad_norm: 4.2410 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/11 11:26:47 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 2.0000e-03 eta: 3:30:40 time: 0.8376 data_time: 0.0189 memory: 19925 grad_norm: 4.2873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9107 loss: 0.9107 2022/08/11 11:27:04 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 2.0000e-03 eta: 3:30:23 time: 0.8396 data_time: 0.0178 memory: 19925 grad_norm: 4.2595 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8424 loss: 0.8424 2022/08/11 11:27:21 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 2.0000e-03 eta: 3:30:06 time: 0.8425 data_time: 0.0189 memory: 19925 grad_norm: 4.3170 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7312 loss: 0.7312 2022/08/11 11:27:37 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 2.0000e-03 eta: 3:29:49 time: 0.8360 data_time: 0.0178 memory: 19925 grad_norm: 4.4566 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8104 loss: 0.8104 2022/08/11 11:27:55 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 2.0000e-03 eta: 3:29:32 time: 0.8792 data_time: 0.0277 memory: 19925 grad_norm: 4.3568 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8381 loss: 0.8381 2022/08/11 11:28:12 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 2.0000e-03 eta: 3:29:14 time: 0.8354 data_time: 0.0175 memory: 19925 grad_norm: 4.2732 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9081 loss: 0.9081 2022/08/11 11:28:28 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 2.0000e-03 eta: 3:28:57 time: 0.8308 data_time: 0.0166 memory: 19925 grad_norm: 4.5232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/08/11 11:28:45 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 2.0000e-03 eta: 3:28:40 time: 0.8368 data_time: 0.0201 memory: 19925 grad_norm: 4.3647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/08/11 11:29:02 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 2.0000e-03 eta: 3:28:23 time: 0.8464 data_time: 0.0169 memory: 19925 grad_norm: 4.5596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/08/11 11:29:19 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 2.0000e-03 eta: 3:28:06 time: 0.8384 data_time: 0.0194 memory: 19925 grad_norm: 4.3233 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/08/11 11:29:36 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 2.0000e-03 eta: 3:27:49 time: 0.8384 data_time: 0.0180 memory: 19925 grad_norm: 4.4203 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9016 loss: 0.9016 2022/08/11 11:29:52 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 2.0000e-03 eta: 3:27:31 time: 0.8402 data_time: 0.0161 memory: 19925 grad_norm: 4.3747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/11 11:30:09 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 2.0000e-03 eta: 3:27:14 time: 0.8454 data_time: 0.0189 memory: 19925 grad_norm: 4.4351 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8689 loss: 0.8689 2022/08/11 11:30:31 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 2.0000e-03 eta: 3:26:58 time: 1.0658 data_time: 0.0174 memory: 19925 grad_norm: 4.3239 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/11 11:30:48 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 2.0000e-03 eta: 3:26:41 time: 0.8840 data_time: 0.0198 memory: 19925 grad_norm: 4.4235 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/11 11:31:07 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 2.0000e-03 eta: 3:26:24 time: 0.9139 data_time: 0.0895 memory: 19925 grad_norm: 4.4154 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0925 loss: 1.0925 2022/08/11 11:31:24 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 2.0000e-03 eta: 3:26:07 time: 0.8874 data_time: 0.0634 memory: 19925 grad_norm: 4.2904 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/11 11:31:41 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 2.0000e-03 eta: 3:25:50 time: 0.8357 data_time: 0.0178 memory: 19925 grad_norm: 4.3752 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7954 loss: 0.7954 2022/08/11 11:31:58 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 2.0000e-03 eta: 3:25:33 time: 0.8390 data_time: 0.0165 memory: 19925 grad_norm: 4.4146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7032 loss: 0.7032 2022/08/11 11:32:15 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 2.0000e-03 eta: 3:25:15 time: 0.8383 data_time: 0.0166 memory: 19925 grad_norm: 4.3953 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9734 loss: 0.9734 2022/08/11 11:32:32 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 2.0000e-03 eta: 3:24:58 time: 0.8466 data_time: 0.0181 memory: 19925 grad_norm: 4.5426 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9906 loss: 0.9906 2022/08/11 11:32:48 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 2.0000e-03 eta: 3:24:41 time: 0.8389 data_time: 0.0178 memory: 19925 grad_norm: 4.4001 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9436 loss: 0.9436 2022/08/11 11:33:05 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 2.0000e-03 eta: 3:24:24 time: 0.8410 data_time: 0.0178 memory: 19925 grad_norm: 4.5093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9189 loss: 0.9189 2022/08/11 11:33:22 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 2.0000e-03 eta: 3:24:07 time: 0.8350 data_time: 0.0157 memory: 19925 grad_norm: 4.4293 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7833 loss: 0.7833 2022/08/11 11:33:39 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 2.0000e-03 eta: 3:23:50 time: 0.8448 data_time: 0.0214 memory: 19925 grad_norm: 4.4113 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9840 loss: 0.9840 2022/08/11 11:33:56 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 2.0000e-03 eta: 3:23:32 time: 0.8405 data_time: 0.0181 memory: 19925 grad_norm: 4.5014 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/08/11 11:34:13 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 2.0000e-03 eta: 3:23:15 time: 0.8404 data_time: 0.0169 memory: 19925 grad_norm: 4.4630 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9674 loss: 0.9674 2022/08/11 11:34:29 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 2.0000e-03 eta: 3:22:58 time: 0.8427 data_time: 0.0168 memory: 19925 grad_norm: 4.5276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/08/11 11:34:46 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 2.0000e-03 eta: 3:22:41 time: 0.8451 data_time: 0.0167 memory: 19925 grad_norm: 4.5056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7707 loss: 0.7707 2022/08/11 11:35:03 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 2.0000e-03 eta: 3:22:24 time: 0.8447 data_time: 0.0188 memory: 19925 grad_norm: 4.3403 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/11 11:35:21 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 2.0000e-03 eta: 3:22:07 time: 0.8679 data_time: 0.0444 memory: 19925 grad_norm: 4.4385 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8429 loss: 0.8429 2022/08/11 11:35:37 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 2.0000e-03 eta: 3:21:49 time: 0.8375 data_time: 0.0185 memory: 19925 grad_norm: 4.3562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7963 loss: 0.7963 2022/08/11 11:35:54 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 2.0000e-03 eta: 3:21:32 time: 0.8374 data_time: 0.0149 memory: 19925 grad_norm: 4.4176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7595 loss: 0.7595 2022/08/11 11:36:11 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 2.0000e-03 eta: 3:21:15 time: 0.8399 data_time: 0.0200 memory: 19925 grad_norm: 4.4614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9720 loss: 0.9720 2022/08/11 11:36:28 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 2.0000e-03 eta: 3:20:58 time: 0.8392 data_time: 0.0174 memory: 19925 grad_norm: 4.3951 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8472 loss: 0.8472 2022/08/11 11:36:45 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 2.0000e-03 eta: 3:20:41 time: 0.8403 data_time: 0.0177 memory: 19925 grad_norm: 4.3051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0227 loss: 1.0227 2022/08/11 11:37:01 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 2.0000e-03 eta: 3:20:24 time: 0.8347 data_time: 0.0193 memory: 19925 grad_norm: 4.3599 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8555 loss: 0.8555 2022/08/11 11:37:18 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 2.0000e-03 eta: 3:20:06 time: 0.8336 data_time: 0.0169 memory: 19925 grad_norm: 4.4011 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8963 loss: 0.8963 2022/08/11 11:37:35 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 2.0000e-03 eta: 3:19:49 time: 0.8339 data_time: 0.0196 memory: 19925 grad_norm: 4.3687 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/11 11:37:53 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 2.0000e-03 eta: 3:19:32 time: 0.9404 data_time: 0.0164 memory: 19925 grad_norm: 4.4159 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8050 loss: 0.8050 2022/08/11 11:38:10 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 2.0000e-03 eta: 3:19:15 time: 0.8335 data_time: 0.0180 memory: 19925 grad_norm: 4.4180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7894 loss: 0.7894 2022/08/11 11:38:27 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 2.0000e-03 eta: 3:18:58 time: 0.8322 data_time: 0.0180 memory: 19925 grad_norm: 4.3010 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7882 loss: 0.7882 2022/08/11 11:38:28 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 11:38:44 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 2.0000e-03 eta: 3:18:41 time: 0.8355 data_time: 0.0182 memory: 19925 grad_norm: 4.3552 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7433 loss: 0.7433 2022/08/11 11:39:00 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 2.0000e-03 eta: 3:18:24 time: 0.8419 data_time: 0.0241 memory: 19925 grad_norm: 4.2757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8334 loss: 0.8334 2022/08/11 11:39:17 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 2.0000e-03 eta: 3:18:06 time: 0.8317 data_time: 0.0178 memory: 19925 grad_norm: 4.5175 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/08/11 11:39:34 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 2.0000e-03 eta: 3:17:49 time: 0.8322 data_time: 0.0181 memory: 19925 grad_norm: 4.3370 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9036 loss: 0.9036 2022/08/11 11:39:50 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 2.0000e-03 eta: 3:17:32 time: 0.8352 data_time: 0.0175 memory: 19925 grad_norm: 4.3526 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8671 loss: 0.8671 2022/08/11 11:40:07 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 2.0000e-03 eta: 3:17:15 time: 0.8293 data_time: 0.0186 memory: 19925 grad_norm: 4.4904 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7967 loss: 0.7967 2022/08/11 11:40:24 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 2.0000e-03 eta: 3:16:58 time: 0.8609 data_time: 0.0341 memory: 19925 grad_norm: 4.5047 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7937 loss: 0.7937 2022/08/11 11:40:41 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 2.0000e-03 eta: 3:16:41 time: 0.8353 data_time: 0.0182 memory: 19925 grad_norm: 4.4844 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/11 11:40:58 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 2.0000e-03 eta: 3:16:23 time: 0.8393 data_time: 0.0185 memory: 19925 grad_norm: 4.3919 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7915 loss: 0.7915 2022/08/11 11:41:15 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 2.0000e-03 eta: 3:16:06 time: 0.8435 data_time: 0.0172 memory: 19925 grad_norm: 4.4160 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8926 loss: 0.8926 2022/08/11 11:41:31 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 2.0000e-03 eta: 3:15:49 time: 0.8420 data_time: 0.0178 memory: 19925 grad_norm: 4.4247 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7767 loss: 0.7767 2022/08/11 11:41:48 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 2.0000e-03 eta: 3:15:32 time: 0.8364 data_time: 0.0178 memory: 19925 grad_norm: 4.4099 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7786 loss: 0.7786 2022/08/11 11:42:05 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 2.0000e-03 eta: 3:15:15 time: 0.8377 data_time: 0.0166 memory: 19925 grad_norm: 4.4286 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7910 loss: 0.7910 2022/08/11 11:42:22 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 2.0000e-03 eta: 3:14:58 time: 0.8418 data_time: 0.0179 memory: 19925 grad_norm: 4.3619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8618 loss: 0.8618 2022/08/11 11:42:38 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 2.0000e-03 eta: 3:14:40 time: 0.8374 data_time: 0.0182 memory: 19925 grad_norm: 4.4137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9217 loss: 0.9217 2022/08/11 11:42:55 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 2.0000e-03 eta: 3:14:23 time: 0.8471 data_time: 0.0196 memory: 19925 grad_norm: 4.4363 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/11 11:43:12 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 2.0000e-03 eta: 3:14:06 time: 0.8334 data_time: 0.0149 memory: 19925 grad_norm: 4.4625 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9852 loss: 0.9852 2022/08/11 11:43:29 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 2.0000e-03 eta: 3:13:49 time: 0.8418 data_time: 0.0194 memory: 19925 grad_norm: 4.5237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8362 loss: 0.8362 2022/08/11 11:43:47 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 2.0000e-03 eta: 3:13:32 time: 0.9150 data_time: 0.0185 memory: 19925 grad_norm: 4.4168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8586 loss: 0.8586 2022/08/11 11:44:05 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 2.0000e-03 eta: 3:13:15 time: 0.8908 data_time: 0.0612 memory: 19925 grad_norm: 4.5326 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9676 loss: 0.9676 2022/08/11 11:44:22 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 2.0000e-03 eta: 3:12:58 time: 0.8698 data_time: 0.0495 memory: 19925 grad_norm: 4.4040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/11 11:44:39 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 2.0000e-03 eta: 3:12:41 time: 0.8437 data_time: 0.0189 memory: 19925 grad_norm: 4.5792 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0165 loss: 1.0165 2022/08/11 11:44:59 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 2.0000e-03 eta: 3:12:24 time: 0.9649 data_time: 0.0149 memory: 19925 grad_norm: 4.3738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9612 loss: 0.9612 2022/08/11 11:45:20 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 2.0000e-03 eta: 3:12:08 time: 1.0624 data_time: 0.0173 memory: 19925 grad_norm: 4.6873 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0518 loss: 1.0518 2022/08/11 11:45:37 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 2.0000e-03 eta: 3:11:51 time: 0.8487 data_time: 0.0182 memory: 19925 grad_norm: 4.3423 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7958 loss: 0.7958 2022/08/11 11:45:54 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 2.0000e-03 eta: 3:11:33 time: 0.8390 data_time: 0.0198 memory: 19925 grad_norm: 4.6383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/08/11 11:46:12 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 2.0000e-03 eta: 3:11:17 time: 0.9342 data_time: 0.0363 memory: 19925 grad_norm: 4.4405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9236 loss: 0.9236 2022/08/11 11:46:29 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 2.0000e-03 eta: 3:10:59 time: 0.8334 data_time: 0.0176 memory: 19925 grad_norm: 4.5708 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8958 loss: 0.8958 2022/08/11 11:46:46 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 2.0000e-03 eta: 3:10:42 time: 0.8359 data_time: 0.0156 memory: 19925 grad_norm: 4.2390 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7691 loss: 0.7691 2022/08/11 11:47:03 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 2.0000e-03 eta: 3:10:25 time: 0.8767 data_time: 0.0273 memory: 19925 grad_norm: 4.4263 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0093 loss: 1.0093 2022/08/11 11:47:20 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 2.0000e-03 eta: 3:10:08 time: 0.8575 data_time: 0.0224 memory: 19925 grad_norm: 4.3801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0028 loss: 1.0028 2022/08/11 11:47:37 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 2.0000e-03 eta: 3:09:51 time: 0.8406 data_time: 0.0197 memory: 19925 grad_norm: 4.3888 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8163 loss: 0.8163 2022/08/11 11:47:59 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 2.0000e-03 eta: 3:09:34 time: 1.0643 data_time: 0.1560 memory: 19925 grad_norm: 4.4131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8374 loss: 0.8374 2022/08/11 11:48:15 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 2.0000e-03 eta: 3:09:17 time: 0.8386 data_time: 0.0148 memory: 19925 grad_norm: 4.4483 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8549 loss: 0.8549 2022/08/11 11:48:37 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 2.0000e-03 eta: 3:09:01 time: 1.0900 data_time: 0.0177 memory: 19925 grad_norm: 4.4581 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/08/11 11:48:57 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 2.0000e-03 eta: 3:08:44 time: 0.9715 data_time: 0.0571 memory: 19925 grad_norm: 4.5700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/08/11 11:49:16 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 2.0000e-03 eta: 3:08:27 time: 0.9502 data_time: 0.0158 memory: 19925 grad_norm: 4.4525 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8653 loss: 0.8653 2022/08/11 11:49:36 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 2.0000e-03 eta: 3:08:11 time: 1.0327 data_time: 0.0172 memory: 19925 grad_norm: 4.5523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8922 loss: 0.8922 2022/08/11 11:49:53 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 2.0000e-03 eta: 3:07:54 time: 0.8391 data_time: 0.0172 memory: 19925 grad_norm: 4.3964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/08/11 11:50:10 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 11:50:10 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 2.0000e-03 eta: 3:07:54 time: 0.8782 data_time: 0.0161 memory: 19925 grad_norm: 4.5529 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/11 11:50:26 - mmengine - INFO - Epoch(val) [43][20/155] eta: 0:01:50 time: 0.8197 data_time: 0.5883 memory: 2570 2022/08/11 11:50:37 - mmengine - INFO - Epoch(val) [43][40/155] eta: 0:00:59 time: 0.5208 data_time: 0.2893 memory: 2570 2022/08/11 11:50:53 - mmengine - INFO - Epoch(val) [43][60/155] eta: 0:01:18 time: 0.8307 data_time: 0.5974 memory: 2570 2022/08/11 11:51:08 - mmengine - INFO - Epoch(val) [43][80/155] eta: 0:00:53 time: 0.7091 data_time: 0.4785 memory: 2570 2022/08/11 11:51:25 - mmengine - INFO - Epoch(val) [43][100/155] eta: 0:00:47 time: 0.8621 data_time: 0.6310 memory: 2570 2022/08/11 11:51:37 - mmengine - INFO - Epoch(val) [43][120/155] eta: 0:00:21 time: 0.6027 data_time: 0.3732 memory: 2570 2022/08/11 11:51:51 - mmengine - INFO - Epoch(val) [43][140/155] eta: 0:00:10 time: 0.6962 data_time: 0.4666 memory: 2570 2022/08/11 11:52:34 - mmengine - INFO - Epoch(val) [43][155/155] acc/top1: 0.7141 acc/top5: 0.9018 acc/mean1: 0.7139 2022/08/11 11:52:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_40.pth is removed 2022/08/11 11:52:36 - mmengine - INFO - The best checkpoint with 0.7141 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/08/11 11:53:07 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 2.0000e-03 eta: 3:07:20 time: 1.5179 data_time: 0.6955 memory: 19925 grad_norm: 4.2843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7515 loss: 0.7515 2022/08/11 11:53:26 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 2.0000e-03 eta: 3:07:03 time: 0.9706 data_time: 0.1455 memory: 19925 grad_norm: 4.3703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/08/11 11:53:56 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 2.0000e-03 eta: 3:06:48 time: 1.4798 data_time: 0.0157 memory: 19925 grad_norm: 4.4520 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7625 loss: 0.7625 2022/08/11 11:54:13 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 2.0000e-03 eta: 3:06:31 time: 0.8359 data_time: 0.0162 memory: 19925 grad_norm: 4.4038 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8613 loss: 0.8613 2022/08/11 11:54:30 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 2.0000e-03 eta: 3:06:14 time: 0.8555 data_time: 0.0193 memory: 19925 grad_norm: 4.3854 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9879 loss: 0.9879 2022/08/11 11:54:48 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 2.0000e-03 eta: 3:05:57 time: 0.9212 data_time: 0.0176 memory: 19925 grad_norm: 4.3729 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/08/11 11:55:05 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 2.0000e-03 eta: 3:05:40 time: 0.8419 data_time: 0.0178 memory: 19925 grad_norm: 4.3606 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8749 loss: 0.8749 2022/08/11 11:55:22 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 2.0000e-03 eta: 3:05:22 time: 0.8722 data_time: 0.0550 memory: 19925 grad_norm: 4.3517 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9180 loss: 0.9180 2022/08/11 11:55:39 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 2.0000e-03 eta: 3:05:05 time: 0.8510 data_time: 0.0187 memory: 19925 grad_norm: 4.3337 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7509 loss: 0.7509 2022/08/11 11:55:56 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 2.0000e-03 eta: 3:04:48 time: 0.8440 data_time: 0.0177 memory: 19925 grad_norm: 4.3705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8352 loss: 0.8352 2022/08/11 11:55:59 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 11:56:14 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 2.0000e-03 eta: 3:04:31 time: 0.8811 data_time: 0.0166 memory: 19925 grad_norm: 4.4999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8213 loss: 0.8213 2022/08/11 11:56:36 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 2.0000e-03 eta: 3:04:15 time: 1.1093 data_time: 0.0166 memory: 19925 grad_norm: 4.4819 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9110 loss: 0.9110 2022/08/11 11:56:53 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 2.0000e-03 eta: 3:03:58 time: 0.8655 data_time: 0.0254 memory: 19925 grad_norm: 4.3330 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8421 loss: 0.8421 2022/08/11 11:57:11 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 2.0000e-03 eta: 3:03:41 time: 0.8842 data_time: 0.0645 memory: 19925 grad_norm: 4.3623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8511 loss: 0.8511 2022/08/11 11:57:33 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 2.0000e-03 eta: 3:03:24 time: 1.1131 data_time: 0.2932 memory: 19925 grad_norm: 4.4315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8145 loss: 0.8145 2022/08/11 11:57:53 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 2.0000e-03 eta: 3:03:08 time: 0.9953 data_time: 0.1179 memory: 19925 grad_norm: 4.4190 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7837 loss: 0.7837 2022/08/11 11:58:14 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 2.0000e-03 eta: 3:02:51 time: 1.0418 data_time: 0.2211 memory: 19925 grad_norm: 4.2744 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7840 loss: 0.7840 2022/08/11 11:58:32 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 2.0000e-03 eta: 3:02:34 time: 0.9134 data_time: 0.0916 memory: 19925 grad_norm: 4.3894 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9438 loss: 0.9438 2022/08/11 11:58:51 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 2.0000e-03 eta: 3:02:17 time: 0.9346 data_time: 0.0149 memory: 19925 grad_norm: 4.4718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8667 loss: 0.8667 2022/08/11 11:59:08 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 2.0000e-03 eta: 3:02:00 time: 0.8368 data_time: 0.0200 memory: 19925 grad_norm: 4.5462 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/11 11:59:25 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 2.0000e-03 eta: 3:01:43 time: 0.8604 data_time: 0.0181 memory: 19925 grad_norm: 4.3168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/11 11:59:42 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 2.0000e-03 eta: 3:01:26 time: 0.8571 data_time: 0.0252 memory: 19925 grad_norm: 4.5487 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0817 loss: 1.0817 2022/08/11 11:59:59 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 2.0000e-03 eta: 3:01:09 time: 0.8426 data_time: 0.0195 memory: 19925 grad_norm: 4.4494 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/08/11 12:00:23 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 2.0000e-03 eta: 3:00:53 time: 1.2048 data_time: 0.0168 memory: 19925 grad_norm: 4.4796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/11 12:00:40 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 2.0000e-03 eta: 3:00:36 time: 0.8451 data_time: 0.0189 memory: 19925 grad_norm: 4.4110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8426 loss: 0.8426 2022/08/11 12:00:58 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 2.0000e-03 eta: 3:00:19 time: 0.9158 data_time: 0.0171 memory: 19925 grad_norm: 4.2477 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8425 loss: 0.8425 2022/08/11 12:01:19 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 2.0000e-03 eta: 3:00:02 time: 1.0031 data_time: 0.0168 memory: 19925 grad_norm: 4.6159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/11 12:01:36 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 2.0000e-03 eta: 2:59:45 time: 0.8875 data_time: 0.0182 memory: 19925 grad_norm: 4.5651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9039 loss: 0.9039 2022/08/11 12:01:58 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 2.0000e-03 eta: 2:59:28 time: 1.0598 data_time: 0.0151 memory: 19925 grad_norm: 4.4637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/08/11 12:02:15 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 2.0000e-03 eta: 2:59:11 time: 0.8499 data_time: 0.0254 memory: 19925 grad_norm: 4.4607 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9263 loss: 0.9263 2022/08/11 12:02:41 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 2.0000e-03 eta: 2:58:56 time: 1.3152 data_time: 0.0181 memory: 19925 grad_norm: 4.5740 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9503 loss: 0.9503 2022/08/11 12:02:58 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 2.0000e-03 eta: 2:58:38 time: 0.8423 data_time: 0.0180 memory: 19925 grad_norm: 4.4809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/08/11 12:03:14 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 2.0000e-03 eta: 2:58:21 time: 0.8366 data_time: 0.0183 memory: 19925 grad_norm: 4.4603 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8214 loss: 0.8214 2022/08/11 12:03:36 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 2.0000e-03 eta: 2:58:05 time: 1.0873 data_time: 0.0193 memory: 19925 grad_norm: 4.1995 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7918 loss: 0.7918 2022/08/11 12:03:53 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 2.0000e-03 eta: 2:57:48 time: 0.8377 data_time: 0.0180 memory: 19925 grad_norm: 4.4112 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8106 loss: 0.8106 2022/08/11 12:04:10 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 2.0000e-03 eta: 2:57:30 time: 0.8339 data_time: 0.0167 memory: 19925 grad_norm: 4.4315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9035 loss: 0.9035 2022/08/11 12:04:26 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 2.0000e-03 eta: 2:57:13 time: 0.8343 data_time: 0.0174 memory: 19925 grad_norm: 4.4012 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8863 loss: 0.8863 2022/08/11 12:04:43 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 2.0000e-03 eta: 2:56:56 time: 0.8332 data_time: 0.0177 memory: 19925 grad_norm: 4.2657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9653 loss: 0.9653 2022/08/11 12:05:00 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 2.0000e-03 eta: 2:56:39 time: 0.8390 data_time: 0.0193 memory: 19925 grad_norm: 4.4252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8962 loss: 0.8962 2022/08/11 12:05:17 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 2.0000e-03 eta: 2:56:22 time: 0.8440 data_time: 0.0181 memory: 19925 grad_norm: 4.2286 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7534 loss: 0.7534 2022/08/11 12:05:34 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 2.0000e-03 eta: 2:56:04 time: 0.8429 data_time: 0.0220 memory: 19925 grad_norm: 4.4126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/08/11 12:05:50 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 2.0000e-03 eta: 2:55:47 time: 0.8419 data_time: 0.0179 memory: 19925 grad_norm: 4.2596 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/11 12:06:07 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 2.0000e-03 eta: 2:55:30 time: 0.8435 data_time: 0.0185 memory: 19925 grad_norm: 4.4291 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9081 loss: 0.9081 2022/08/11 12:06:24 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 2.0000e-03 eta: 2:55:13 time: 0.8403 data_time: 0.0181 memory: 19925 grad_norm: 4.4927 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7809 loss: 0.7809 2022/08/11 12:06:43 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 2.0000e-03 eta: 2:54:56 time: 0.9530 data_time: 0.0168 memory: 19925 grad_norm: 4.4363 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8196 loss: 0.8196 2022/08/11 12:07:05 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 2.0000e-03 eta: 2:54:40 time: 1.0713 data_time: 0.0170 memory: 19925 grad_norm: 4.4126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/08/11 12:07:23 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 2.0000e-03 eta: 2:54:23 time: 0.9312 data_time: 0.0173 memory: 19925 grad_norm: 4.4097 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/11 12:07:40 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 2.0000e-03 eta: 2:54:05 time: 0.8384 data_time: 0.0185 memory: 19925 grad_norm: 4.3825 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8302 loss: 0.8302 2022/08/11 12:07:58 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 2.0000e-03 eta: 2:53:48 time: 0.9081 data_time: 0.0163 memory: 19925 grad_norm: 4.5003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6406 loss: 0.6406 2022/08/11 12:08:15 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 2.0000e-03 eta: 2:53:31 time: 0.8408 data_time: 0.0177 memory: 19925 grad_norm: 4.4787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9142 loss: 0.9142 2022/08/11 12:08:33 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 2.0000e-03 eta: 2:53:14 time: 0.8869 data_time: 0.0175 memory: 19925 grad_norm: 4.5614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/11 12:08:50 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 2.0000e-03 eta: 2:52:57 time: 0.8428 data_time: 0.0201 memory: 19925 grad_norm: 4.4537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9306 loss: 0.9306 2022/08/11 12:09:06 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 2.0000e-03 eta: 2:52:40 time: 0.8385 data_time: 0.0187 memory: 19925 grad_norm: 4.3563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9860 loss: 0.9860 2022/08/11 12:09:23 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 2.0000e-03 eta: 2:52:23 time: 0.8443 data_time: 0.0156 memory: 19925 grad_norm: 4.6182 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9650 loss: 0.9650 2022/08/11 12:09:40 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 2.0000e-03 eta: 2:52:06 time: 0.8449 data_time: 0.0173 memory: 19925 grad_norm: 4.4240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8672 loss: 0.8672 2022/08/11 12:09:57 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 2.0000e-03 eta: 2:51:48 time: 0.8485 data_time: 0.0218 memory: 19925 grad_norm: 4.4803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9717 loss: 0.9717 2022/08/11 12:10:14 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 2.0000e-03 eta: 2:51:31 time: 0.8526 data_time: 0.0196 memory: 19925 grad_norm: 4.4542 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/11 12:10:34 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 2.0000e-03 eta: 2:51:14 time: 0.9688 data_time: 0.0195 memory: 19925 grad_norm: 4.4108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7368 loss: 0.7368 2022/08/11 12:10:51 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 2.0000e-03 eta: 2:50:57 time: 0.8559 data_time: 0.0261 memory: 19925 grad_norm: 4.5294 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8682 loss: 0.8682 2022/08/11 12:11:10 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 2.0000e-03 eta: 2:50:40 time: 0.9388 data_time: 0.0147 memory: 19925 grad_norm: 4.4027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9673 loss: 0.9673 2022/08/11 12:11:12 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 12:11:27 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 2.0000e-03 eta: 2:50:23 time: 0.8430 data_time: 0.0205 memory: 19925 grad_norm: 4.5580 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8981 loss: 0.8981 2022/08/11 12:11:44 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 2.0000e-03 eta: 2:50:06 time: 0.8984 data_time: 0.0231 memory: 19925 grad_norm: 4.4953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/08/11 12:12:02 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 2.0000e-03 eta: 2:49:49 time: 0.8787 data_time: 0.0183 memory: 19925 grad_norm: 4.5544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9512 loss: 0.9512 2022/08/11 12:12:20 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 2.0000e-03 eta: 2:49:32 time: 0.8833 data_time: 0.0627 memory: 19925 grad_norm: 4.6283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9701 loss: 0.9701 2022/08/11 12:12:37 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 2.0000e-03 eta: 2:49:15 time: 0.8462 data_time: 0.0188 memory: 19925 grad_norm: 4.5293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8990 loss: 0.8990 2022/08/11 12:12:53 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 2.0000e-03 eta: 2:48:58 time: 0.8364 data_time: 0.0189 memory: 19925 grad_norm: 4.4060 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/08/11 12:13:10 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 2.0000e-03 eta: 2:48:40 time: 0.8389 data_time: 0.0165 memory: 19925 grad_norm: 4.4078 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/08/11 12:13:27 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 2.0000e-03 eta: 2:48:23 time: 0.8411 data_time: 0.0181 memory: 19925 grad_norm: 4.5191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/08/11 12:13:44 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 2.0000e-03 eta: 2:48:06 time: 0.8466 data_time: 0.0180 memory: 19925 grad_norm: 4.3665 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/11 12:14:01 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 2.0000e-03 eta: 2:47:49 time: 0.8381 data_time: 0.0172 memory: 19925 grad_norm: 4.5423 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/08/11 12:14:17 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 2.0000e-03 eta: 2:47:32 time: 0.8369 data_time: 0.0180 memory: 19925 grad_norm: 4.4767 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8457 loss: 0.8457 2022/08/11 12:14:36 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 2.0000e-03 eta: 2:47:15 time: 0.9349 data_time: 0.0175 memory: 19925 grad_norm: 4.5711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8537 loss: 0.8537 2022/08/11 12:14:53 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 2.0000e-03 eta: 2:46:58 time: 0.8487 data_time: 0.0273 memory: 19925 grad_norm: 4.5506 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7520 loss: 0.7520 2022/08/11 12:15:18 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 2.0000e-03 eta: 2:46:42 time: 1.2530 data_time: 0.0211 memory: 19925 grad_norm: 4.2708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/11 12:15:35 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 2.0000e-03 eta: 2:46:25 time: 0.8410 data_time: 0.0183 memory: 19925 grad_norm: 4.5621 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9904 loss: 0.9904 2022/08/11 12:15:52 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 2.0000e-03 eta: 2:46:07 time: 0.8383 data_time: 0.0175 memory: 19925 grad_norm: 4.5412 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9403 loss: 0.9403 2022/08/11 12:16:09 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 2.0000e-03 eta: 2:45:50 time: 0.8562 data_time: 0.0227 memory: 19925 grad_norm: 4.4929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/08/11 12:16:27 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 2.0000e-03 eta: 2:45:33 time: 0.8822 data_time: 0.0276 memory: 19925 grad_norm: 4.5145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8462 loss: 0.8462 2022/08/11 12:16:45 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 2.0000e-03 eta: 2:45:16 time: 0.9454 data_time: 0.0181 memory: 19925 grad_norm: 4.5456 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/08/11 12:17:02 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 2.0000e-03 eta: 2:44:59 time: 0.8410 data_time: 0.0183 memory: 19925 grad_norm: 4.5574 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8471 loss: 0.8471 2022/08/11 12:17:19 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 2.0000e-03 eta: 2:44:42 time: 0.8428 data_time: 0.0166 memory: 19925 grad_norm: 4.5297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8630 loss: 0.8630 2022/08/11 12:17:36 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 2.0000e-03 eta: 2:44:25 time: 0.8471 data_time: 0.0178 memory: 19925 grad_norm: 4.5049 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0034 loss: 1.0034 2022/08/11 12:17:55 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 2.0000e-03 eta: 2:44:08 time: 0.9312 data_time: 0.0187 memory: 19925 grad_norm: 4.5365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/08/11 12:18:12 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 2.0000e-03 eta: 2:43:51 time: 0.8882 data_time: 0.0695 memory: 19925 grad_norm: 4.5868 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8369 loss: 0.8369 2022/08/11 12:18:29 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 2.0000e-03 eta: 2:43:34 time: 0.8426 data_time: 0.0173 memory: 19925 grad_norm: 4.3802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9254 loss: 0.9254 2022/08/11 12:18:46 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 2.0000e-03 eta: 2:43:16 time: 0.8391 data_time: 0.0202 memory: 19925 grad_norm: 4.4741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/08/11 12:19:07 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 2.0000e-03 eta: 2:43:00 time: 1.0410 data_time: 0.0267 memory: 19925 grad_norm: 4.4962 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/08/11 12:19:27 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 2.0000e-03 eta: 2:42:43 time: 0.9958 data_time: 0.0163 memory: 19925 grad_norm: 4.4987 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/11 12:19:45 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 2.0000e-03 eta: 2:42:26 time: 0.8946 data_time: 0.0190 memory: 19925 grad_norm: 4.3648 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7915 loss: 0.7915 2022/08/11 12:20:05 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 2.0000e-03 eta: 2:42:09 time: 1.0234 data_time: 0.0187 memory: 19925 grad_norm: 4.4239 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8550 loss: 0.8550 2022/08/11 12:20:28 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 2.0000e-03 eta: 2:41:53 time: 1.1589 data_time: 0.0397 memory: 19925 grad_norm: 4.5282 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9307 loss: 0.9307 2022/08/11 12:20:46 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 2.0000e-03 eta: 2:41:36 time: 0.8845 data_time: 0.0176 memory: 19925 grad_norm: 4.6242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9622 loss: 0.9622 2022/08/11 12:21:07 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 2.0000e-03 eta: 2:41:19 time: 1.0585 data_time: 0.0172 memory: 19925 grad_norm: 4.5249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8295 loss: 0.8295 2022/08/11 12:21:23 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 12:21:23 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 2.0000e-03 eta: 2:41:19 time: 0.8179 data_time: 0.0157 memory: 19925 grad_norm: 4.3785 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9157 loss: 0.9157 2022/08/11 12:21:41 - mmengine - INFO - Epoch(val) [44][20/155] eta: 0:02:05 time: 0.9262 data_time: 0.6947 memory: 2570 2022/08/11 12:21:53 - mmengine - INFO - Epoch(val) [44][40/155] eta: 0:01:05 time: 0.5686 data_time: 0.3379 memory: 2570 2022/08/11 12:22:08 - mmengine - INFO - Epoch(val) [44][60/155] eta: 0:01:11 time: 0.7549 data_time: 0.5243 memory: 2570 2022/08/11 12:22:20 - mmengine - INFO - Epoch(val) [44][80/155] eta: 0:00:47 time: 0.6283 data_time: 0.3991 memory: 2570 2022/08/11 12:22:35 - mmengine - INFO - Epoch(val) [44][100/155] eta: 0:00:40 time: 0.7324 data_time: 0.5023 memory: 2570 2022/08/11 12:22:49 - mmengine - INFO - Epoch(val) [44][120/155] eta: 0:00:25 time: 0.7177 data_time: 0.4873 memory: 2570 2022/08/11 12:23:00 - mmengine - INFO - Epoch(val) [44][140/155] eta: 0:00:07 time: 0.5162 data_time: 0.2877 memory: 2570 2022/08/11 12:23:11 - mmengine - INFO - Epoch(val) [44][155/155] acc/top1: 0.7145 acc/top5: 0.9029 acc/mean1: 0.7144 2022/08/11 12:23:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_44.pth is removed 2022/08/11 12:23:14 - mmengine - INFO - The best checkpoint with 0.7145 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/11 12:23:41 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 2.0000e-03 eta: 2:40:45 time: 1.3360 data_time: 0.5176 memory: 19925 grad_norm: 4.4779 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7092 loss: 0.7092 2022/08/11 12:23:59 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 2.0000e-03 eta: 2:40:28 time: 0.9020 data_time: 0.0164 memory: 19925 grad_norm: 4.2916 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/11 12:24:16 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 2.0000e-03 eta: 2:40:11 time: 0.8340 data_time: 0.0193 memory: 19925 grad_norm: 4.3846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8240 loss: 0.8240 2022/08/11 12:24:32 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 2.0000e-03 eta: 2:39:54 time: 0.8330 data_time: 0.0166 memory: 19925 grad_norm: 4.4703 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/08/11 12:24:49 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 2.0000e-03 eta: 2:39:36 time: 0.8377 data_time: 0.0176 memory: 19925 grad_norm: 4.4106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7887 loss: 0.7887 2022/08/11 12:25:06 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 2.0000e-03 eta: 2:39:19 time: 0.8407 data_time: 0.0237 memory: 19925 grad_norm: 4.3070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6840 loss: 0.6840 2022/08/11 12:25:26 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 2.0000e-03 eta: 2:39:02 time: 1.0229 data_time: 0.0916 memory: 19925 grad_norm: 4.3969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6942 loss: 0.6942 2022/08/11 12:25:46 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 2.0000e-03 eta: 2:38:46 time: 1.0058 data_time: 0.0168 memory: 19925 grad_norm: 4.4934 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7981 loss: 0.7981 2022/08/11 12:26:03 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 2.0000e-03 eta: 2:38:29 time: 0.8418 data_time: 0.0193 memory: 19925 grad_norm: 4.3736 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/11 12:26:20 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 2.0000e-03 eta: 2:38:11 time: 0.8430 data_time: 0.0170 memory: 19925 grad_norm: 4.4599 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8494 loss: 0.8494 2022/08/11 12:26:37 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 2.0000e-03 eta: 2:37:54 time: 0.8431 data_time: 0.0185 memory: 19925 grad_norm: 4.3364 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/11 12:26:54 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 2.0000e-03 eta: 2:37:37 time: 0.8345 data_time: 0.0171 memory: 19925 grad_norm: 4.4148 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7940 loss: 0.7940 2022/08/11 12:27:11 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 2.0000e-03 eta: 2:37:20 time: 0.8413 data_time: 0.0179 memory: 19925 grad_norm: 4.5760 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/11 12:27:27 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 2.0000e-03 eta: 2:37:03 time: 0.8401 data_time: 0.0186 memory: 19925 grad_norm: 4.4682 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8028 loss: 0.8028 2022/08/11 12:27:44 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 2.0000e-03 eta: 2:36:45 time: 0.8417 data_time: 0.0180 memory: 19925 grad_norm: 4.3200 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/11 12:28:04 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 2.0000e-03 eta: 2:36:29 time: 0.9713 data_time: 0.0169 memory: 19925 grad_norm: 4.5397 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0708 loss: 1.0708 2022/08/11 12:28:07 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 12:28:22 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 2.0000e-03 eta: 2:36:12 time: 0.9002 data_time: 0.0194 memory: 19925 grad_norm: 4.4338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0220 loss: 1.0220 2022/08/11 12:28:39 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 2.0000e-03 eta: 2:35:54 time: 0.8485 data_time: 0.0323 memory: 19925 grad_norm: 4.4737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9047 loss: 0.9047 2022/08/11 12:28:56 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 2.0000e-03 eta: 2:35:37 time: 0.8448 data_time: 0.0187 memory: 19925 grad_norm: 4.4271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8180 loss: 0.8180 2022/08/11 12:29:12 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 2.0000e-03 eta: 2:35:20 time: 0.8372 data_time: 0.0169 memory: 19925 grad_norm: 4.4090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7992 loss: 0.7992 2022/08/11 12:29:29 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 2.0000e-03 eta: 2:35:03 time: 0.8386 data_time: 0.0174 memory: 19925 grad_norm: 4.5887 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8905 loss: 0.8905 2022/08/11 12:29:46 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 2.0000e-03 eta: 2:34:46 time: 0.8486 data_time: 0.0239 memory: 19925 grad_norm: 4.6468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/08/11 12:30:03 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 2.0000e-03 eta: 2:34:28 time: 0.8402 data_time: 0.0165 memory: 19925 grad_norm: 4.5066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/08/11 12:30:21 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 2.0000e-03 eta: 2:34:11 time: 0.8830 data_time: 0.0510 memory: 19925 grad_norm: 4.2736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8556 loss: 0.8556 2022/08/11 12:30:38 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 2.0000e-03 eta: 2:33:54 time: 0.8525 data_time: 0.0193 memory: 19925 grad_norm: 4.6388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9344 loss: 0.9344 2022/08/11 12:30:54 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 2.0000e-03 eta: 2:33:37 time: 0.8405 data_time: 0.0182 memory: 19925 grad_norm: 4.5103 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9045 loss: 0.9045 2022/08/11 12:31:11 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 2.0000e-03 eta: 2:33:20 time: 0.8367 data_time: 0.0181 memory: 19925 grad_norm: 4.3980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6927 loss: 0.6927 2022/08/11 12:31:28 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 2.0000e-03 eta: 2:33:03 time: 0.8349 data_time: 0.0156 memory: 19925 grad_norm: 4.4425 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/11 12:31:45 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 2.0000e-03 eta: 2:32:45 time: 0.8393 data_time: 0.0186 memory: 19925 grad_norm: 4.4710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8389 loss: 0.8389 2022/08/11 12:32:02 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 2.0000e-03 eta: 2:32:28 time: 0.8455 data_time: 0.0249 memory: 19925 grad_norm: 4.2747 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/08/11 12:32:19 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 2.0000e-03 eta: 2:32:11 time: 0.8517 data_time: 0.0174 memory: 19925 grad_norm: 4.4087 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8145 loss: 0.8145 2022/08/11 12:32:36 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 2.0000e-03 eta: 2:31:54 time: 0.8471 data_time: 0.0158 memory: 19925 grad_norm: 4.4214 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7188 loss: 0.7188 2022/08/11 12:32:52 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 2.0000e-03 eta: 2:31:37 time: 0.8443 data_time: 0.0184 memory: 19925 grad_norm: 4.4976 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/11 12:33:09 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 2.0000e-03 eta: 2:31:20 time: 0.8491 data_time: 0.0177 memory: 19925 grad_norm: 4.5755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9293 loss: 0.9293 2022/08/11 12:33:26 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 2.0000e-03 eta: 2:31:02 time: 0.8456 data_time: 0.0182 memory: 19925 grad_norm: 4.2640 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/08/11 12:33:43 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 2.0000e-03 eta: 2:30:45 time: 0.8401 data_time: 0.0172 memory: 19925 grad_norm: 4.3772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8730 loss: 0.8730 2022/08/11 12:34:00 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 2.0000e-03 eta: 2:30:28 time: 0.8472 data_time: 0.0175 memory: 19925 grad_norm: 4.4976 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8818 loss: 0.8818 2022/08/11 12:34:17 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 2.0000e-03 eta: 2:30:11 time: 0.8386 data_time: 0.0178 memory: 19925 grad_norm: 4.4590 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7696 loss: 0.7696 2022/08/11 12:34:34 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 2.0000e-03 eta: 2:29:54 time: 0.8344 data_time: 0.0168 memory: 19925 grad_norm: 4.5285 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8726 loss: 0.8726 2022/08/11 12:34:50 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 2.0000e-03 eta: 2:29:36 time: 0.8348 data_time: 0.0165 memory: 19925 grad_norm: 4.3581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8829 loss: 0.8829 2022/08/11 12:35:07 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 2.0000e-03 eta: 2:29:19 time: 0.8390 data_time: 0.0212 memory: 19925 grad_norm: 4.6407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8162 loss: 0.8162 2022/08/11 12:35:24 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 2.0000e-03 eta: 2:29:02 time: 0.8478 data_time: 0.0295 memory: 19925 grad_norm: 4.4702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9097 loss: 0.9097 2022/08/11 12:35:41 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 2.0000e-03 eta: 2:28:45 time: 0.8425 data_time: 0.0181 memory: 19925 grad_norm: 4.3646 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7847 loss: 0.7847 2022/08/11 12:35:58 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 2.0000e-03 eta: 2:28:28 time: 0.8372 data_time: 0.0164 memory: 19925 grad_norm: 4.3431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/11 12:36:15 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 2.0000e-03 eta: 2:28:11 time: 0.8573 data_time: 0.0179 memory: 19925 grad_norm: 4.4841 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9036 loss: 0.9036 2022/08/11 12:36:32 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 2.0000e-03 eta: 2:27:53 time: 0.8452 data_time: 0.0196 memory: 19925 grad_norm: 4.3866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/08/11 12:36:49 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 2.0000e-03 eta: 2:27:36 time: 0.8402 data_time: 0.0194 memory: 19925 grad_norm: 4.4250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7918 loss: 0.7918 2022/08/11 12:37:05 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 2.0000e-03 eta: 2:27:19 time: 0.8388 data_time: 0.0158 memory: 19925 grad_norm: 4.6788 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8738 loss: 0.8738 2022/08/11 12:37:22 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 2.0000e-03 eta: 2:27:02 time: 0.8407 data_time: 0.0183 memory: 19925 grad_norm: 4.4579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8475 loss: 0.8475 2022/08/11 12:37:41 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 2.0000e-03 eta: 2:26:45 time: 0.9330 data_time: 0.0212 memory: 19925 grad_norm: 4.6282 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/11 12:38:00 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 2.0000e-03 eta: 2:26:28 time: 0.9333 data_time: 0.0250 memory: 19925 grad_norm: 4.4922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8844 loss: 0.8844 2022/08/11 12:38:17 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 2.0000e-03 eta: 2:26:11 time: 0.8811 data_time: 0.0454 memory: 19925 grad_norm: 4.6133 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/08/11 12:38:34 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 2.0000e-03 eta: 2:25:54 time: 0.8373 data_time: 0.0189 memory: 19925 grad_norm: 4.4730 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/11 12:38:51 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 2.0000e-03 eta: 2:25:37 time: 0.8402 data_time: 0.0156 memory: 19925 grad_norm: 4.5266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8791 loss: 0.8791 2022/08/11 12:39:08 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 2.0000e-03 eta: 2:25:19 time: 0.8417 data_time: 0.0179 memory: 19925 grad_norm: 4.6253 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8816 loss: 0.8816 2022/08/11 12:39:24 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 2.0000e-03 eta: 2:25:02 time: 0.8307 data_time: 0.0157 memory: 19925 grad_norm: 4.5993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/11 12:39:41 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 2.0000e-03 eta: 2:24:45 time: 0.8410 data_time: 0.0190 memory: 19925 grad_norm: 4.5215 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8409 loss: 0.8409 2022/08/11 12:39:58 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 2.0000e-03 eta: 2:24:28 time: 0.8418 data_time: 0.0189 memory: 19925 grad_norm: 4.4781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1048 loss: 1.1048 2022/08/11 12:40:16 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 2.0000e-03 eta: 2:24:11 time: 0.8985 data_time: 0.0200 memory: 19925 grad_norm: 4.4283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7505 loss: 0.7505 2022/08/11 12:40:34 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 2.0000e-03 eta: 2:23:54 time: 0.8865 data_time: 0.0187 memory: 19925 grad_norm: 4.5664 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9009 loss: 0.9009 2022/08/11 12:40:51 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 2.0000e-03 eta: 2:23:37 time: 0.8489 data_time: 0.0272 memory: 19925 grad_norm: 4.4118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8203 loss: 0.8203 2022/08/11 12:41:07 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 2.0000e-03 eta: 2:23:19 time: 0.8343 data_time: 0.0162 memory: 19925 grad_norm: 4.4854 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8086 loss: 0.8086 2022/08/11 12:41:24 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 2.0000e-03 eta: 2:23:02 time: 0.8456 data_time: 0.0182 memory: 19925 grad_norm: 4.5870 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8729 loss: 0.8729 2022/08/11 12:41:41 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 2.0000e-03 eta: 2:22:45 time: 0.8402 data_time: 0.0177 memory: 19925 grad_norm: 4.4810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8048 loss: 0.8048 2022/08/11 12:41:58 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 2.0000e-03 eta: 2:22:28 time: 0.8453 data_time: 0.0179 memory: 19925 grad_norm: 4.4171 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1094 loss: 1.1094 2022/08/11 12:42:15 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 2.0000e-03 eta: 2:22:11 time: 0.8358 data_time: 0.0169 memory: 19925 grad_norm: 4.4685 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7879 loss: 0.7879 2022/08/11 12:42:18 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 12:42:31 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 2.0000e-03 eta: 2:21:53 time: 0.8414 data_time: 0.0188 memory: 19925 grad_norm: 4.6196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/08/11 12:42:48 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 2.0000e-03 eta: 2:21:36 time: 0.8317 data_time: 0.0166 memory: 19925 grad_norm: 4.5984 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8781 loss: 0.8781 2022/08/11 12:43:05 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 2.0000e-03 eta: 2:21:19 time: 0.8323 data_time: 0.0170 memory: 19925 grad_norm: 4.5091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8588 loss: 0.8588 2022/08/11 12:43:22 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 2.0000e-03 eta: 2:21:02 time: 0.8360 data_time: 0.0169 memory: 19925 grad_norm: 4.6760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7971 loss: 0.7971 2022/08/11 12:43:38 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 2.0000e-03 eta: 2:20:45 time: 0.8414 data_time: 0.0187 memory: 19925 grad_norm: 4.4634 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8385 loss: 0.8385 2022/08/11 12:43:55 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 2.0000e-03 eta: 2:20:27 time: 0.8310 data_time: 0.0177 memory: 19925 grad_norm: 4.5963 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9742 loss: 0.9742 2022/08/11 12:44:12 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 2.0000e-03 eta: 2:20:10 time: 0.8326 data_time: 0.0186 memory: 19925 grad_norm: 4.6524 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9207 loss: 0.9207 2022/08/11 12:44:28 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 2.0000e-03 eta: 2:19:53 time: 0.8344 data_time: 0.0174 memory: 19925 grad_norm: 4.4420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8618 loss: 0.8618 2022/08/11 12:44:45 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 2.0000e-03 eta: 2:19:36 time: 0.8386 data_time: 0.0182 memory: 19925 grad_norm: 4.3478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8220 loss: 0.8220 2022/08/11 12:45:02 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 2.0000e-03 eta: 2:19:19 time: 0.8405 data_time: 0.0215 memory: 19925 grad_norm: 4.4160 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8441 loss: 0.8441 2022/08/11 12:45:20 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 2.0000e-03 eta: 2:19:02 time: 0.8778 data_time: 0.0354 memory: 19925 grad_norm: 4.6100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8788 loss: 0.8788 2022/08/11 12:45:36 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 2.0000e-03 eta: 2:18:44 time: 0.8478 data_time: 0.0208 memory: 19925 grad_norm: 4.5474 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8870 loss: 0.8870 2022/08/11 12:45:53 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 2.0000e-03 eta: 2:18:27 time: 0.8350 data_time: 0.0190 memory: 19925 grad_norm: 4.4212 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8475 loss: 0.8475 2022/08/11 12:46:10 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 2.0000e-03 eta: 2:18:10 time: 0.8356 data_time: 0.0181 memory: 19925 grad_norm: 4.6182 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9464 loss: 0.9464 2022/08/11 12:46:27 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 2.0000e-03 eta: 2:17:53 time: 0.8384 data_time: 0.0213 memory: 19925 grad_norm: 4.4705 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/11 12:46:43 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 2.0000e-03 eta: 2:17:36 time: 0.8386 data_time: 0.0164 memory: 19925 grad_norm: 4.7033 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0002 loss: 1.0002 2022/08/11 12:47:00 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 2.0000e-03 eta: 2:17:19 time: 0.8319 data_time: 0.0170 memory: 19925 grad_norm: 4.6206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1233 loss: 1.1233 2022/08/11 12:47:17 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 2.0000e-03 eta: 2:17:01 time: 0.8423 data_time: 0.0245 memory: 19925 grad_norm: 4.4996 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8698 loss: 0.8698 2022/08/11 12:47:34 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 2.0000e-03 eta: 2:16:44 time: 0.8322 data_time: 0.0177 memory: 19925 grad_norm: 4.5194 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9540 loss: 0.9540 2022/08/11 12:47:52 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 2.0000e-03 eta: 2:16:27 time: 0.9251 data_time: 0.1141 memory: 19925 grad_norm: 4.6485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7890 loss: 0.7890 2022/08/11 12:48:09 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 2.0000e-03 eta: 2:16:10 time: 0.8400 data_time: 0.0271 memory: 19925 grad_norm: 4.5351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7682 loss: 0.7682 2022/08/11 12:48:26 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 2.0000e-03 eta: 2:15:53 time: 0.8349 data_time: 0.0183 memory: 19925 grad_norm: 4.4805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/08/11 12:48:42 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 2.0000e-03 eta: 2:15:36 time: 0.8327 data_time: 0.0171 memory: 19925 grad_norm: 4.4030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7409 loss: 0.7409 2022/08/11 12:48:59 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 2.0000e-03 eta: 2:15:18 time: 0.8309 data_time: 0.0188 memory: 19925 grad_norm: 4.5592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/08/11 12:49:16 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 2.0000e-03 eta: 2:15:01 time: 0.8335 data_time: 0.0187 memory: 19925 grad_norm: 4.4518 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9917 loss: 0.9917 2022/08/11 12:49:32 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 2.0000e-03 eta: 2:14:44 time: 0.8302 data_time: 0.0181 memory: 19925 grad_norm: 4.5880 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9552 loss: 0.9552 2022/08/11 12:49:49 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 2.0000e-03 eta: 2:14:27 time: 0.8339 data_time: 0.0180 memory: 19925 grad_norm: 4.6498 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7443 loss: 0.7443 2022/08/11 12:50:04 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 12:50:05 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 2.0000e-03 eta: 2:14:27 time: 0.8036 data_time: 0.0153 memory: 19925 grad_norm: 4.7912 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8953 loss: 0.8953 2022/08/11 12:50:05 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/11 12:50:25 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:02:02 time: 0.9079 data_time: 0.6732 memory: 2570 2022/08/11 12:50:33 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:46 time: 0.4079 data_time: 0.1766 memory: 2570 2022/08/11 12:50:45 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:58 time: 0.6146 data_time: 0.3843 memory: 2570 2022/08/11 12:50:56 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:38 time: 0.5186 data_time: 0.2879 memory: 2570 2022/08/11 12:51:05 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:24 time: 0.4395 data_time: 0.2094 memory: 2570 2022/08/11 12:51:16 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:20 time: 0.5885 data_time: 0.3578 memory: 2570 2022/08/11 12:51:27 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:08 time: 0.5360 data_time: 0.3048 memory: 2570 2022/08/11 12:51:55 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.7123 acc/top5: 0.9016 acc/mean1: 0.7123 2022/08/11 12:52:17 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 2.0000e-04 eta: 2:13:52 time: 1.0840 data_time: 0.2127 memory: 19925 grad_norm: 4.3966 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7331 loss: 0.7331 2022/08/11 12:52:33 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 2.0000e-04 eta: 2:13:35 time: 0.8277 data_time: 0.0175 memory: 19925 grad_norm: 4.5208 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9343 loss: 0.9343 2022/08/11 12:52:50 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 2.0000e-04 eta: 2:13:18 time: 0.8301 data_time: 0.0181 memory: 19925 grad_norm: 4.5702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/08/11 12:53:07 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 2.0000e-04 eta: 2:13:01 time: 0.8381 data_time: 0.0262 memory: 19925 grad_norm: 4.3237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/11 12:53:23 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 2.0000e-04 eta: 2:12:43 time: 0.8347 data_time: 0.0186 memory: 19925 grad_norm: 4.4862 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/11 12:53:40 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 2.0000e-04 eta: 2:12:26 time: 0.8380 data_time: 0.0162 memory: 19925 grad_norm: 4.4576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/11 12:53:57 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 2.0000e-04 eta: 2:12:09 time: 0.8365 data_time: 0.0176 memory: 19925 grad_norm: 4.3247 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7403 loss: 0.7403 2022/08/11 12:54:13 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 2.0000e-04 eta: 2:11:52 time: 0.8341 data_time: 0.0173 memory: 19925 grad_norm: 4.5056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/08/11 12:54:30 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 2.0000e-04 eta: 2:11:35 time: 0.8368 data_time: 0.0158 memory: 19925 grad_norm: 4.4666 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8058 loss: 0.8058 2022/08/11 12:54:47 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 2.0000e-04 eta: 2:11:17 time: 0.8371 data_time: 0.0188 memory: 19925 grad_norm: 4.4695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7766 loss: 0.7766 2022/08/11 12:55:04 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 2.0000e-04 eta: 2:11:00 time: 0.8362 data_time: 0.0171 memory: 19925 grad_norm: 4.3913 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7725 loss: 0.7725 2022/08/11 12:55:23 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 2.0000e-04 eta: 2:10:43 time: 0.9756 data_time: 0.0417 memory: 19925 grad_norm: 4.3171 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8391 loss: 0.8391 2022/08/11 12:55:40 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 2.0000e-04 eta: 2:10:26 time: 0.8493 data_time: 0.0169 memory: 19925 grad_norm: 4.3970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7515 loss: 0.7515 2022/08/11 12:55:57 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 2.0000e-04 eta: 2:10:09 time: 0.8423 data_time: 0.0215 memory: 19925 grad_norm: 4.6032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7851 loss: 0.7851 2022/08/11 12:56:14 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 2.0000e-04 eta: 2:09:52 time: 0.8334 data_time: 0.0175 memory: 19925 grad_norm: 4.4687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9409 loss: 0.9409 2022/08/11 12:56:30 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 2.0000e-04 eta: 2:09:35 time: 0.8364 data_time: 0.0172 memory: 19925 grad_norm: 4.5231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/08/11 12:56:47 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 2.0000e-04 eta: 2:09:18 time: 0.8471 data_time: 0.0178 memory: 19925 grad_norm: 4.2143 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7258 loss: 0.7258 2022/08/11 12:57:04 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 2.0000e-04 eta: 2:09:00 time: 0.8391 data_time: 0.0182 memory: 19925 grad_norm: 4.5163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7867 loss: 0.7867 2022/08/11 12:57:21 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 2.0000e-04 eta: 2:08:43 time: 0.8473 data_time: 0.0173 memory: 19925 grad_norm: 4.2663 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8247 loss: 0.8247 2022/08/11 12:57:38 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 2.0000e-04 eta: 2:08:26 time: 0.8381 data_time: 0.0167 memory: 19925 grad_norm: 4.3548 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/11 12:57:56 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 2.0000e-04 eta: 2:08:09 time: 0.8935 data_time: 0.0183 memory: 19925 grad_norm: 4.3822 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8063 loss: 0.8063 2022/08/11 12:58:13 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 2.0000e-04 eta: 2:07:52 time: 0.8434 data_time: 0.0164 memory: 19925 grad_norm: 4.4988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8817 loss: 0.8817 2022/08/11 12:58:17 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 12:58:30 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 2.0000e-04 eta: 2:07:35 time: 0.8507 data_time: 0.0192 memory: 19925 grad_norm: 4.3241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7425 loss: 0.7425 2022/08/11 12:58:46 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 2.0000e-04 eta: 2:07:18 time: 0.8376 data_time: 0.0171 memory: 19925 grad_norm: 4.5132 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7168 loss: 0.7168 2022/08/11 12:59:03 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 2.0000e-04 eta: 2:07:00 time: 0.8348 data_time: 0.0172 memory: 19925 grad_norm: 4.3899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7496 loss: 0.7496 2022/08/11 12:59:20 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 2.0000e-04 eta: 2:06:43 time: 0.8367 data_time: 0.0188 memory: 19925 grad_norm: 4.3993 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7256 loss: 0.7256 2022/08/11 12:59:37 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 2.0000e-04 eta: 2:06:26 time: 0.8407 data_time: 0.0268 memory: 19925 grad_norm: 4.5925 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/11 12:59:54 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 2.0000e-04 eta: 2:06:09 time: 0.8391 data_time: 0.0180 memory: 19925 grad_norm: 4.4171 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/11 13:00:11 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 2.0000e-04 eta: 2:05:52 time: 0.8481 data_time: 0.0286 memory: 19925 grad_norm: 4.3867 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8332 loss: 0.8332 2022/08/11 13:00:27 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 2.0000e-04 eta: 2:05:34 time: 0.8386 data_time: 0.0197 memory: 19925 grad_norm: 4.2107 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7318 loss: 0.7318 2022/08/11 13:00:44 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 2.0000e-04 eta: 2:05:17 time: 0.8345 data_time: 0.0175 memory: 19925 grad_norm: 4.4175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/11 13:01:01 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 2.0000e-04 eta: 2:05:00 time: 0.8373 data_time: 0.0186 memory: 19925 grad_norm: 4.4058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7543 loss: 0.7543 2022/08/11 13:01:18 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 2.0000e-04 eta: 2:04:43 time: 0.8452 data_time: 0.0228 memory: 19925 grad_norm: 4.3387 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7413 loss: 0.7413 2022/08/11 13:01:34 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 2.0000e-04 eta: 2:04:26 time: 0.8394 data_time: 0.0185 memory: 19925 grad_norm: 4.3787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7910 loss: 0.7910 2022/08/11 13:01:51 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 2.0000e-04 eta: 2:04:09 time: 0.8368 data_time: 0.0183 memory: 19925 grad_norm: 4.4346 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6819 loss: 0.6819 2022/08/11 13:02:08 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 2.0000e-04 eta: 2:03:51 time: 0.8335 data_time: 0.0177 memory: 19925 grad_norm: 4.4467 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7863 loss: 0.7863 2022/08/11 13:02:25 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 2.0000e-04 eta: 2:03:34 time: 0.8336 data_time: 0.0190 memory: 19925 grad_norm: 4.4178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/08/11 13:02:41 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 2.0000e-04 eta: 2:03:17 time: 0.8326 data_time: 0.0183 memory: 19925 grad_norm: 4.5661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/11 13:02:58 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 2.0000e-04 eta: 2:03:00 time: 0.8363 data_time: 0.0201 memory: 19925 grad_norm: 4.3390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8215 loss: 0.8215 2022/08/11 13:03:15 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 2.0000e-04 eta: 2:02:43 time: 0.8350 data_time: 0.0179 memory: 19925 grad_norm: 4.6223 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7617 loss: 0.7617 2022/08/11 13:03:31 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 2.0000e-04 eta: 2:02:26 time: 0.8356 data_time: 0.0200 memory: 19925 grad_norm: 4.5154 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8468 loss: 0.8468 2022/08/11 13:03:48 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 2.0000e-04 eta: 2:02:08 time: 0.8397 data_time: 0.0186 memory: 19925 grad_norm: 4.4264 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/11 13:04:05 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 2.0000e-04 eta: 2:01:51 time: 0.8337 data_time: 0.0194 memory: 19925 grad_norm: 4.3003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/08/11 13:04:22 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 2.0000e-04 eta: 2:01:34 time: 0.8334 data_time: 0.0188 memory: 19925 grad_norm: 4.4121 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9689 loss: 0.9689 2022/08/11 13:04:38 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 2.0000e-04 eta: 2:01:17 time: 0.8312 data_time: 0.0170 memory: 19925 grad_norm: 4.5033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9451 loss: 0.9451 2022/08/11 13:04:55 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 2.0000e-04 eta: 2:01:00 time: 0.8311 data_time: 0.0175 memory: 19925 grad_norm: 4.4101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8755 loss: 0.8755 2022/08/11 13:05:12 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 2.0000e-04 eta: 2:00:43 time: 0.8461 data_time: 0.0196 memory: 19925 grad_norm: 4.4904 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7062 loss: 0.7062 2022/08/11 13:05:29 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 2.0000e-04 eta: 2:00:25 time: 0.8462 data_time: 0.0207 memory: 19925 grad_norm: 4.4729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/08/11 13:05:45 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 2.0000e-04 eta: 2:00:08 time: 0.8325 data_time: 0.0172 memory: 19925 grad_norm: 4.4399 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8390 loss: 0.8390 2022/08/11 13:06:02 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 2.0000e-04 eta: 1:59:51 time: 0.8340 data_time: 0.0180 memory: 19925 grad_norm: 4.4428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7766 loss: 0.7766 2022/08/11 13:06:19 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 2.0000e-04 eta: 1:59:34 time: 0.8366 data_time: 0.0185 memory: 19925 grad_norm: 4.4622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/08/11 13:06:35 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 2.0000e-04 eta: 1:59:17 time: 0.8316 data_time: 0.0178 memory: 19925 grad_norm: 4.2011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9329 loss: 0.9329 2022/08/11 13:06:52 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 2.0000e-04 eta: 1:58:59 time: 0.8311 data_time: 0.0187 memory: 19925 grad_norm: 4.4267 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/08/11 13:07:09 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 2.0000e-04 eta: 1:58:42 time: 0.8319 data_time: 0.0182 memory: 19925 grad_norm: 4.4691 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8744 loss: 0.8744 2022/08/11 13:07:25 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 2.0000e-04 eta: 1:58:25 time: 0.8328 data_time: 0.0183 memory: 19925 grad_norm: 4.4805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8456 loss: 0.8456 2022/08/11 13:07:42 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 2.0000e-04 eta: 1:58:08 time: 0.8339 data_time: 0.0188 memory: 19925 grad_norm: 4.5190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9711 loss: 0.9711 2022/08/11 13:08:00 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 2.0000e-04 eta: 1:57:51 time: 0.8949 data_time: 0.0186 memory: 19925 grad_norm: 4.4434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9675 loss: 0.9675 2022/08/11 13:08:17 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 2.0000e-04 eta: 1:57:34 time: 0.8290 data_time: 0.0175 memory: 19925 grad_norm: 4.2922 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8413 loss: 0.8413 2022/08/11 13:08:33 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 2.0000e-04 eta: 1:57:17 time: 0.8332 data_time: 0.0178 memory: 19925 grad_norm: 4.4711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8539 loss: 0.8539 2022/08/11 13:08:50 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 2.0000e-04 eta: 1:56:59 time: 0.8310 data_time: 0.0197 memory: 19925 grad_norm: 4.4760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7803 loss: 0.7803 2022/08/11 13:09:06 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 2.0000e-04 eta: 1:56:42 time: 0.8325 data_time: 0.0194 memory: 19925 grad_norm: 4.3248 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7030 loss: 0.7030 2022/08/11 13:09:23 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 2.0000e-04 eta: 1:56:25 time: 0.8323 data_time: 0.0184 memory: 19925 grad_norm: 4.3412 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8982 loss: 0.8982 2022/08/11 13:09:40 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 2.0000e-04 eta: 1:56:08 time: 0.8358 data_time: 0.0176 memory: 19925 grad_norm: 4.4735 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8102 loss: 0.8102 2022/08/11 13:09:57 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 2.0000e-04 eta: 1:55:51 time: 0.8381 data_time: 0.0177 memory: 19925 grad_norm: 4.3397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7988 loss: 0.7988 2022/08/11 13:10:22 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 2.0000e-04 eta: 1:55:34 time: 1.2605 data_time: 0.0191 memory: 19925 grad_norm: 4.6221 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8738 loss: 0.8738 2022/08/11 13:10:38 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 2.0000e-04 eta: 1:55:17 time: 0.8280 data_time: 0.0181 memory: 19925 grad_norm: 4.3563 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6771 loss: 0.6771 2022/08/11 13:10:55 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 2.0000e-04 eta: 1:55:00 time: 0.8335 data_time: 0.0195 memory: 19925 grad_norm: 4.4681 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9419 loss: 0.9419 2022/08/11 13:11:12 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 2.0000e-04 eta: 1:54:43 time: 0.8318 data_time: 0.0182 memory: 19925 grad_norm: 4.4417 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7617 loss: 0.7617 2022/08/11 13:11:29 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 2.0000e-04 eta: 1:54:26 time: 0.8394 data_time: 0.0189 memory: 19925 grad_norm: 4.3831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8718 loss: 0.8718 2022/08/11 13:11:45 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 2.0000e-04 eta: 1:54:08 time: 0.8326 data_time: 0.0183 memory: 19925 grad_norm: 4.4976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9477 loss: 0.9477 2022/08/11 13:12:02 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 2.0000e-04 eta: 1:53:51 time: 0.8353 data_time: 0.0179 memory: 19925 grad_norm: 4.5053 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8660 loss: 0.8660 2022/08/11 13:12:19 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 2.0000e-04 eta: 1:53:34 time: 0.8348 data_time: 0.0167 memory: 19925 grad_norm: 4.5082 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8370 loss: 0.8370 2022/08/11 13:12:23 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 13:12:35 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 2.0000e-04 eta: 1:53:17 time: 0.8379 data_time: 0.0170 memory: 19925 grad_norm: 4.1988 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6695 loss: 0.6695 2022/08/11 13:12:53 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 2.0000e-04 eta: 1:53:00 time: 0.8992 data_time: 0.0176 memory: 19925 grad_norm: 4.3762 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8397 loss: 0.8397 2022/08/11 13:13:14 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 2.0000e-04 eta: 1:52:43 time: 1.0358 data_time: 0.1133 memory: 19925 grad_norm: 4.3598 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8511 loss: 0.8511 2022/08/11 13:13:31 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 2.0000e-04 eta: 1:52:26 time: 0.8420 data_time: 0.0182 memory: 19925 grad_norm: 4.4704 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8772 loss: 0.8772 2022/08/11 13:13:48 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 2.0000e-04 eta: 1:52:09 time: 0.8382 data_time: 0.0177 memory: 19925 grad_norm: 4.3653 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7629 loss: 0.7629 2022/08/11 13:14:05 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 2.0000e-04 eta: 1:51:52 time: 0.8412 data_time: 0.0167 memory: 19925 grad_norm: 4.3879 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8404 loss: 0.8404 2022/08/11 13:14:27 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 2.0000e-04 eta: 1:51:35 time: 1.1046 data_time: 0.0168 memory: 19925 grad_norm: 4.4387 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/08/11 13:14:44 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 2.0000e-04 eta: 1:51:18 time: 0.8472 data_time: 0.0254 memory: 19925 grad_norm: 4.4452 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/08/11 13:15:00 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 2.0000e-04 eta: 1:51:01 time: 0.8412 data_time: 0.0193 memory: 19925 grad_norm: 4.3274 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/11 13:15:25 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 2.0000e-04 eta: 1:50:44 time: 1.2468 data_time: 0.0279 memory: 19925 grad_norm: 4.4806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8603 loss: 0.8603 2022/08/11 13:15:42 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 2.0000e-04 eta: 1:50:27 time: 0.8414 data_time: 0.0201 memory: 19925 grad_norm: 4.4804 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7523 loss: 0.7523 2022/08/11 13:16:03 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 2.0000e-04 eta: 1:50:10 time: 1.0172 data_time: 0.0240 memory: 19925 grad_norm: 4.4813 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7959 loss: 0.7959 2022/08/11 13:16:20 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 2.0000e-04 eta: 1:49:53 time: 0.8645 data_time: 0.0182 memory: 19925 grad_norm: 4.3587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7870 loss: 0.7870 2022/08/11 13:16:39 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 2.0000e-04 eta: 1:49:36 time: 0.9418 data_time: 0.0231 memory: 19925 grad_norm: 4.3451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6616 loss: 0.6616 2022/08/11 13:17:02 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 2.0000e-04 eta: 1:49:19 time: 1.1619 data_time: 0.0735 memory: 19925 grad_norm: 4.3255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7998 loss: 0.7998 2022/08/11 13:17:20 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 2.0000e-04 eta: 1:49:02 time: 0.9025 data_time: 0.0153 memory: 19925 grad_norm: 4.3867 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8273 loss: 0.8273 2022/08/11 13:17:41 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 2.0000e-04 eta: 1:48:45 time: 1.0294 data_time: 0.0187 memory: 19925 grad_norm: 4.4042 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/11 13:17:59 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 2.0000e-04 eta: 1:48:28 time: 0.9212 data_time: 0.0174 memory: 19925 grad_norm: 4.3763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8144 loss: 0.8144 2022/08/11 13:18:16 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 2.0000e-04 eta: 1:48:11 time: 0.8466 data_time: 0.0180 memory: 19925 grad_norm: 4.4132 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7735 loss: 0.7735 2022/08/11 13:18:33 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 2.0000e-04 eta: 1:47:54 time: 0.8401 data_time: 0.0180 memory: 19925 grad_norm: 4.4387 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8790 loss: 0.8790 2022/08/11 13:18:50 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 2.0000e-04 eta: 1:47:37 time: 0.8433 data_time: 0.0193 memory: 19925 grad_norm: 4.4541 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/11 13:19:08 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 13:19:08 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 2.0000e-04 eta: 1:47:37 time: 0.9405 data_time: 0.1409 memory: 19925 grad_norm: 4.4780 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7646 loss: 0.7646 2022/08/11 13:19:25 - mmengine - INFO - Epoch(val) [46][20/155] eta: 0:01:58 time: 0.8795 data_time: 0.6484 memory: 2570 2022/08/11 13:19:36 - mmengine - INFO - Epoch(val) [46][40/155] eta: 0:01:01 time: 0.5375 data_time: 0.3076 memory: 2570 2022/08/11 13:19:52 - mmengine - INFO - Epoch(val) [46][60/155] eta: 0:01:17 time: 0.8138 data_time: 0.5839 memory: 2570 2022/08/11 13:20:06 - mmengine - INFO - Epoch(val) [46][80/155] eta: 0:00:50 time: 0.6727 data_time: 0.4420 memory: 2570 2022/08/11 13:20:20 - mmengine - INFO - Epoch(val) [46][100/155] eta: 0:00:38 time: 0.7008 data_time: 0.4692 memory: 2570 2022/08/11 13:20:38 - mmengine - INFO - Epoch(val) [46][120/155] eta: 0:00:31 time: 0.8878 data_time: 0.6584 memory: 2570 2022/08/11 13:21:03 - mmengine - INFO - Epoch(val) [46][140/155] eta: 0:00:18 time: 1.2471 data_time: 1.0184 memory: 2570 2022/08/11 13:21:17 - mmengine - INFO - Epoch(val) [46][155/155] acc/top1: 0.7177 acc/top5: 0.9056 acc/mean1: 0.7176 2022/08/11 13:21:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/08/11 13:21:19 - mmengine - INFO - The best checkpoint with 0.7177 acc/top1 at 47 epoch is saved to best_acc/top1_epoch_47.pth. 2022/08/11 13:21:47 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 2.0000e-04 eta: 1:47:03 time: 1.3928 data_time: 0.4987 memory: 19925 grad_norm: 4.4707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7887 loss: 0.7887 2022/08/11 13:22:04 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 2.0000e-04 eta: 1:46:46 time: 0.8449 data_time: 0.0175 memory: 19925 grad_norm: 4.3531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8459 loss: 0.8459 2022/08/11 13:22:29 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 2.0000e-04 eta: 1:46:29 time: 1.2543 data_time: 0.4062 memory: 19925 grad_norm: 4.2750 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7264 loss: 0.7264 2022/08/11 13:22:48 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 2.0000e-04 eta: 1:46:12 time: 0.9492 data_time: 0.1332 memory: 19925 grad_norm: 4.4024 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7212 loss: 0.7212 2022/08/11 13:23:05 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 2.0000e-04 eta: 1:45:55 time: 0.8787 data_time: 0.0153 memory: 19925 grad_norm: 4.4212 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9069 loss: 0.9069 2022/08/11 13:23:23 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 2.0000e-04 eta: 1:45:38 time: 0.8749 data_time: 0.0183 memory: 19925 grad_norm: 4.3109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7229 loss: 0.7229 2022/08/11 13:23:42 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 2.0000e-04 eta: 1:45:21 time: 0.9528 data_time: 0.1265 memory: 19925 grad_norm: 4.5119 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7227 loss: 0.7227 2022/08/11 13:23:59 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 2.0000e-04 eta: 1:45:04 time: 0.8383 data_time: 0.0167 memory: 19925 grad_norm: 4.3993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7570 loss: 0.7570 2022/08/11 13:24:16 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 2.0000e-04 eta: 1:44:47 time: 0.8477 data_time: 0.0179 memory: 19925 grad_norm: 4.5891 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9132 loss: 0.9132 2022/08/11 13:24:33 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 2.0000e-04 eta: 1:44:30 time: 0.8486 data_time: 0.0227 memory: 19925 grad_norm: 4.4484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/08/11 13:24:50 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 2.0000e-04 eta: 1:44:13 time: 0.8487 data_time: 0.0186 memory: 19925 grad_norm: 4.3427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/11 13:25:07 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 2.0000e-04 eta: 1:43:55 time: 0.8442 data_time: 0.0170 memory: 19925 grad_norm: 4.2897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6854 loss: 0.6854 2022/08/11 13:25:24 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 2.0000e-04 eta: 1:43:38 time: 0.8703 data_time: 0.0519 memory: 19925 grad_norm: 4.5315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8552 loss: 0.8552 2022/08/11 13:25:42 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 2.0000e-04 eta: 1:43:21 time: 0.8957 data_time: 0.0168 memory: 19925 grad_norm: 4.4031 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8032 loss: 0.8032 2022/08/11 13:25:59 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 2.0000e-04 eta: 1:43:04 time: 0.8431 data_time: 0.0181 memory: 19925 grad_norm: 4.4692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7624 loss: 0.7624 2022/08/11 13:26:18 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 2.0000e-04 eta: 1:42:47 time: 0.9593 data_time: 0.0173 memory: 19925 grad_norm: 4.3747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/08/11 13:26:36 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 2.0000e-04 eta: 1:42:30 time: 0.9042 data_time: 0.0193 memory: 19925 grad_norm: 4.3661 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 0.8839 loss: 0.8839 2022/08/11 13:26:54 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 2.0000e-04 eta: 1:42:13 time: 0.8885 data_time: 0.0624 memory: 19925 grad_norm: 4.3833 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/11 13:27:11 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 2.0000e-04 eta: 1:41:56 time: 0.8492 data_time: 0.0170 memory: 19925 grad_norm: 4.4188 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7218 loss: 0.7218 2022/08/11 13:27:31 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 2.0000e-04 eta: 1:41:39 time: 0.9801 data_time: 0.0262 memory: 19925 grad_norm: 4.2637 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6828 loss: 0.6828 2022/08/11 13:27:47 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 2.0000e-04 eta: 1:41:22 time: 0.8417 data_time: 0.0208 memory: 19925 grad_norm: 4.2536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7006 loss: 0.7006 2022/08/11 13:28:06 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 2.0000e-04 eta: 1:41:05 time: 0.9247 data_time: 0.0188 memory: 19925 grad_norm: 4.4500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/08/11 13:28:28 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 2.0000e-04 eta: 1:40:48 time: 1.0989 data_time: 0.0317 memory: 19925 grad_norm: 4.5761 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7939 loss: 0.7939 2022/08/11 13:28:45 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 2.0000e-04 eta: 1:40:31 time: 0.8408 data_time: 0.0175 memory: 19925 grad_norm: 4.4618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/08/11 13:29:04 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 2.0000e-04 eta: 1:40:14 time: 0.9560 data_time: 0.0164 memory: 19925 grad_norm: 4.5545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9756 loss: 0.9756 2022/08/11 13:29:28 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 2.0000e-04 eta: 1:39:57 time: 1.2076 data_time: 0.0173 memory: 19925 grad_norm: 4.4346 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/08/11 13:29:45 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 2.0000e-04 eta: 1:39:40 time: 0.8410 data_time: 0.0195 memory: 19925 grad_norm: 4.4758 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1011 loss: 1.1011 2022/08/11 13:30:04 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 2.0000e-04 eta: 1:39:23 time: 0.9857 data_time: 0.0384 memory: 19925 grad_norm: 4.4728 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7571 loss: 0.7571 2022/08/11 13:30:10 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 13:30:23 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 2.0000e-04 eta: 1:39:06 time: 0.9114 data_time: 0.0409 memory: 19925 grad_norm: 4.2911 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7573 loss: 0.7573 2022/08/11 13:30:40 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 2.0000e-04 eta: 1:38:49 time: 0.8388 data_time: 0.0200 memory: 19925 grad_norm: 4.3955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8220 loss: 0.8220 2022/08/11 13:31:00 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 2.0000e-04 eta: 1:38:32 time: 1.0097 data_time: 0.1855 memory: 19925 grad_norm: 4.4402 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8777 loss: 0.8777 2022/08/11 13:31:19 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 2.0000e-04 eta: 1:38:15 time: 0.9389 data_time: 0.1197 memory: 19925 grad_norm: 4.4156 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7752 loss: 0.7752 2022/08/11 13:31:38 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 2.0000e-04 eta: 1:37:58 time: 0.9647 data_time: 0.1418 memory: 19925 grad_norm: 4.5673 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8877 loss: 0.8877 2022/08/11 13:32:01 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 2.0000e-04 eta: 1:37:41 time: 1.1837 data_time: 0.2780 memory: 19925 grad_norm: 4.2483 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7659 loss: 0.7659 2022/08/11 13:32:21 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 2.0000e-04 eta: 1:37:24 time: 0.9584 data_time: 0.1401 memory: 19925 grad_norm: 4.2784 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7868 loss: 0.7868 2022/08/11 13:32:40 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 2.0000e-04 eta: 1:37:07 time: 0.9821 data_time: 0.1580 memory: 19925 grad_norm: 4.3532 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7597 loss: 0.7597 2022/08/11 13:33:00 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 2.0000e-04 eta: 1:36:50 time: 0.9862 data_time: 0.1596 memory: 19925 grad_norm: 4.2875 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7874 loss: 0.7874 2022/08/11 13:33:18 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 2.0000e-04 eta: 1:36:33 time: 0.8878 data_time: 0.0522 memory: 19925 grad_norm: 4.4453 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9276 loss: 0.9276 2022/08/11 13:33:39 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 2.0000e-04 eta: 1:36:16 time: 1.0453 data_time: 0.0156 memory: 19925 grad_norm: 4.3727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8201 loss: 0.8201 2022/08/11 13:33:56 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 2.0000e-04 eta: 1:35:59 time: 0.8407 data_time: 0.0174 memory: 19925 grad_norm: 4.3035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/08/11 13:34:13 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 2.0000e-04 eta: 1:35:42 time: 0.8558 data_time: 0.0291 memory: 19925 grad_norm: 4.2157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7728 loss: 0.7728 2022/08/11 13:34:30 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 2.0000e-04 eta: 1:35:25 time: 0.8558 data_time: 0.0161 memory: 19925 grad_norm: 4.4431 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9713 loss: 0.9713 2022/08/11 13:34:47 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 2.0000e-04 eta: 1:35:08 time: 0.8383 data_time: 0.0179 memory: 19925 grad_norm: 4.4307 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9005 loss: 0.9005 2022/08/11 13:35:03 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 2.0000e-04 eta: 1:34:51 time: 0.8419 data_time: 0.0163 memory: 19925 grad_norm: 4.3838 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8544 loss: 0.8544 2022/08/11 13:35:21 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 2.0000e-04 eta: 1:34:33 time: 0.8926 data_time: 0.0581 memory: 19925 grad_norm: 4.4814 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9567 loss: 0.9567 2022/08/11 13:35:38 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 2.0000e-04 eta: 1:34:16 time: 0.8439 data_time: 0.0216 memory: 19925 grad_norm: 4.2487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8199 loss: 0.8199 2022/08/11 13:35:58 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 2.0000e-04 eta: 1:33:59 time: 0.9782 data_time: 0.0161 memory: 19925 grad_norm: 4.4827 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/11 13:36:15 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 2.0000e-04 eta: 1:33:42 time: 0.8443 data_time: 0.0174 memory: 19925 grad_norm: 4.5308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8230 loss: 0.8230 2022/08/11 13:36:37 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 2.0000e-04 eta: 1:33:25 time: 1.1254 data_time: 0.3022 memory: 19925 grad_norm: 4.4219 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9543 loss: 0.9543 2022/08/11 13:36:55 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 2.0000e-04 eta: 1:33:08 time: 0.8905 data_time: 0.0660 memory: 19925 grad_norm: 4.3265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7969 loss: 0.7969 2022/08/11 13:37:12 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 2.0000e-04 eta: 1:32:51 time: 0.8376 data_time: 0.0163 memory: 19925 grad_norm: 4.4477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8193 loss: 0.8193 2022/08/11 13:37:29 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 2.0000e-04 eta: 1:32:34 time: 0.8389 data_time: 0.0179 memory: 19925 grad_norm: 4.5495 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7854 loss: 0.7854 2022/08/11 13:37:45 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 2.0000e-04 eta: 1:32:17 time: 0.8402 data_time: 0.0162 memory: 19925 grad_norm: 4.3321 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7673 loss: 0.7673 2022/08/11 13:38:05 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 2.0000e-04 eta: 1:32:00 time: 0.9954 data_time: 0.0183 memory: 19925 grad_norm: 4.3958 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8236 loss: 0.8236 2022/08/11 13:38:23 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 2.0000e-04 eta: 1:31:43 time: 0.9021 data_time: 0.0274 memory: 19925 grad_norm: 4.4996 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8634 loss: 0.8634 2022/08/11 13:38:40 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 2.0000e-04 eta: 1:31:26 time: 0.8429 data_time: 0.0185 memory: 19925 grad_norm: 4.3158 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8621 loss: 0.8621 2022/08/11 13:38:57 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 2.0000e-04 eta: 1:31:08 time: 0.8352 data_time: 0.0171 memory: 19925 grad_norm: 4.2581 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/11 13:39:14 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 2.0000e-04 eta: 1:30:51 time: 0.8334 data_time: 0.0185 memory: 19925 grad_norm: 4.4098 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9024 loss: 0.9024 2022/08/11 13:39:30 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 2.0000e-04 eta: 1:30:34 time: 0.8426 data_time: 0.0160 memory: 19925 grad_norm: 4.3785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8580 loss: 0.8580 2022/08/11 13:39:47 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 2.0000e-04 eta: 1:30:17 time: 0.8366 data_time: 0.0180 memory: 19925 grad_norm: 4.3630 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7426 loss: 0.7426 2022/08/11 13:40:04 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 2.0000e-04 eta: 1:30:00 time: 0.8519 data_time: 0.0212 memory: 19925 grad_norm: 4.3349 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8517 loss: 0.8517 2022/08/11 13:40:22 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 2.0000e-04 eta: 1:29:43 time: 0.8704 data_time: 0.0451 memory: 19925 grad_norm: 4.3197 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/11 13:40:39 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 2.0000e-04 eta: 1:29:25 time: 0.8437 data_time: 0.0190 memory: 19925 grad_norm: 4.5592 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/08/11 13:40:55 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 2.0000e-04 eta: 1:29:08 time: 0.8469 data_time: 0.0179 memory: 19925 grad_norm: 4.4955 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/08/11 13:41:12 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 2.0000e-04 eta: 1:28:51 time: 0.8345 data_time: 0.0180 memory: 19925 grad_norm: 4.4678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7677 loss: 0.7677 2022/08/11 13:41:29 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 2.0000e-04 eta: 1:28:34 time: 0.8385 data_time: 0.0186 memory: 19925 grad_norm: 4.5480 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/11 13:41:46 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 2.0000e-04 eta: 1:28:17 time: 0.8370 data_time: 0.0177 memory: 19925 grad_norm: 4.5146 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6995 loss: 0.6995 2022/08/11 13:42:03 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 2.0000e-04 eta: 1:27:59 time: 0.8403 data_time: 0.0205 memory: 19925 grad_norm: 4.4026 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8241 loss: 0.8241 2022/08/11 13:42:19 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 2.0000e-04 eta: 1:27:42 time: 0.8315 data_time: 0.0166 memory: 19925 grad_norm: 4.4221 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8013 loss: 0.8013 2022/08/11 13:42:36 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 2.0000e-04 eta: 1:27:25 time: 0.8384 data_time: 0.0181 memory: 19925 grad_norm: 4.4522 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8095 loss: 0.8095 2022/08/11 13:42:53 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 2.0000e-04 eta: 1:27:08 time: 0.8292 data_time: 0.0181 memory: 19925 grad_norm: 4.3224 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7775 loss: 0.7775 2022/08/11 13:43:09 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 2.0000e-04 eta: 1:26:51 time: 0.8358 data_time: 0.0186 memory: 19925 grad_norm: 4.4305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7888 loss: 0.7888 2022/08/11 13:43:26 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 2.0000e-04 eta: 1:26:34 time: 0.8360 data_time: 0.0178 memory: 19925 grad_norm: 4.5086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/11 13:43:43 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 2.0000e-04 eta: 1:26:16 time: 0.8423 data_time: 0.0202 memory: 19925 grad_norm: 4.2561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/08/11 13:44:00 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 2.0000e-04 eta: 1:25:59 time: 0.8424 data_time: 0.0168 memory: 19925 grad_norm: 4.3547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7076 loss: 0.7076 2022/08/11 13:44:16 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 2.0000e-04 eta: 1:25:42 time: 0.8342 data_time: 0.0153 memory: 19925 grad_norm: 4.2805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7920 loss: 0.7920 2022/08/11 13:44:33 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 2.0000e-04 eta: 1:25:25 time: 0.8422 data_time: 0.0195 memory: 19925 grad_norm: 4.3960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8077 loss: 0.8077 2022/08/11 13:44:50 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 2.0000e-04 eta: 1:25:08 time: 0.8362 data_time: 0.0184 memory: 19925 grad_norm: 4.2655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7708 loss: 0.7708 2022/08/11 13:44:55 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 13:45:07 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 2.0000e-04 eta: 1:24:50 time: 0.8598 data_time: 0.0176 memory: 19925 grad_norm: 4.4613 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0470 loss: 1.0470 2022/08/11 13:45:24 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 2.0000e-04 eta: 1:24:33 time: 0.8454 data_time: 0.0186 memory: 19925 grad_norm: 4.3319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/08/11 13:45:41 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 2.0000e-04 eta: 1:24:16 time: 0.8400 data_time: 0.0187 memory: 19925 grad_norm: 4.4526 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8359 loss: 0.8359 2022/08/11 13:45:58 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 2.0000e-04 eta: 1:23:59 time: 0.8326 data_time: 0.0170 memory: 19925 grad_norm: 4.5332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9817 loss: 0.9817 2022/08/11 13:46:14 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 2.0000e-04 eta: 1:23:42 time: 0.8368 data_time: 0.0187 memory: 19925 grad_norm: 4.3745 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7932 loss: 0.7932 2022/08/11 13:46:31 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 2.0000e-04 eta: 1:23:25 time: 0.8320 data_time: 0.0163 memory: 19925 grad_norm: 4.4040 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8000 loss: 0.8000 2022/08/11 13:46:48 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 2.0000e-04 eta: 1:23:07 time: 0.8372 data_time: 0.0175 memory: 19925 grad_norm: 4.3213 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8415 loss: 0.8415 2022/08/11 13:47:04 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 2.0000e-04 eta: 1:22:50 time: 0.8387 data_time: 0.0251 memory: 19925 grad_norm: 4.3802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7217 loss: 0.7217 2022/08/11 13:47:21 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 2.0000e-04 eta: 1:22:33 time: 0.8347 data_time: 0.0181 memory: 19925 grad_norm: 4.5386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7877 loss: 0.7877 2022/08/11 13:47:38 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 2.0000e-04 eta: 1:22:16 time: 0.8382 data_time: 0.0235 memory: 19925 grad_norm: 4.5151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8871 loss: 0.8871 2022/08/11 13:47:57 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 2.0000e-04 eta: 1:21:59 time: 0.9313 data_time: 0.0195 memory: 19925 grad_norm: 4.4584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8060 loss: 0.8060 2022/08/11 13:48:13 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 2.0000e-04 eta: 1:21:42 time: 0.8387 data_time: 0.0210 memory: 19925 grad_norm: 4.4977 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/11 13:48:30 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 2.0000e-04 eta: 1:21:24 time: 0.8471 data_time: 0.0228 memory: 19925 grad_norm: 4.3893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7485 loss: 0.7485 2022/08/11 13:48:47 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 2.0000e-04 eta: 1:21:07 time: 0.8439 data_time: 0.0163 memory: 19925 grad_norm: 4.4385 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7998 loss: 0.7998 2022/08/11 13:49:04 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 2.0000e-04 eta: 1:20:50 time: 0.8361 data_time: 0.0174 memory: 19925 grad_norm: 4.4253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7608 loss: 0.7608 2022/08/11 13:49:20 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 13:49:20 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 2.0000e-04 eta: 1:20:50 time: 0.8212 data_time: 0.0266 memory: 19925 grad_norm: 4.5386 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0170 loss: 1.0170 2022/08/11 13:49:33 - mmengine - INFO - Epoch(val) [47][20/155] eta: 0:01:29 time: 0.6597 data_time: 0.4251 memory: 2570 2022/08/11 13:49:49 - mmengine - INFO - Epoch(val) [47][40/155] eta: 0:01:32 time: 0.8016 data_time: 0.5693 memory: 2570 2022/08/11 13:49:59 - mmengine - INFO - Epoch(val) [47][60/155] eta: 0:00:49 time: 0.5255 data_time: 0.2943 memory: 2570 2022/08/11 13:50:20 - mmengine - INFO - Epoch(val) [47][80/155] eta: 0:01:18 time: 1.0430 data_time: 0.8119 memory: 2570 2022/08/11 13:50:30 - mmengine - INFO - Epoch(val) [47][100/155] eta: 0:00:26 time: 0.4735 data_time: 0.2425 memory: 2570 2022/08/11 13:50:45 - mmengine - INFO - Epoch(val) [47][120/155] eta: 0:00:26 time: 0.7586 data_time: 0.5275 memory: 2570 2022/08/11 13:50:55 - mmengine - INFO - Epoch(val) [47][140/155] eta: 0:00:07 time: 0.5009 data_time: 0.2714 memory: 2570 2022/08/11 13:51:10 - mmengine - INFO - Epoch(val) [47][155/155] acc/top1: 0.7189 acc/top5: 0.9045 acc/mean1: 0.7188 2022/08/11 13:51:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_47.pth is removed 2022/08/11 13:51:12 - mmengine - INFO - The best checkpoint with 0.7189 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/11 13:51:36 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 2.0000e-04 eta: 1:20:16 time: 1.1572 data_time: 0.2442 memory: 19925 grad_norm: 4.5474 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8833 loss: 0.8833 2022/08/11 13:51:52 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 2.0000e-04 eta: 1:19:59 time: 0.8471 data_time: 0.0285 memory: 19925 grad_norm: 4.3241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/11 13:52:09 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 2.0000e-04 eta: 1:19:42 time: 0.8313 data_time: 0.0179 memory: 19925 grad_norm: 4.3754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7440 loss: 0.7440 2022/08/11 13:52:26 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 2.0000e-04 eta: 1:19:24 time: 0.8343 data_time: 0.0169 memory: 19925 grad_norm: 4.3823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8177 loss: 0.8177 2022/08/11 13:52:43 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 2.0000e-04 eta: 1:19:07 time: 0.8374 data_time: 0.0182 memory: 19925 grad_norm: 4.5802 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/11 13:52:59 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 2.0000e-04 eta: 1:18:50 time: 0.8333 data_time: 0.0174 memory: 19925 grad_norm: 4.2962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7665 loss: 0.7665 2022/08/11 13:53:16 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 2.0000e-04 eta: 1:18:33 time: 0.8310 data_time: 0.0180 memory: 19925 grad_norm: 4.4206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/11 13:53:33 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 2.0000e-04 eta: 1:18:16 time: 0.8323 data_time: 0.0168 memory: 19925 grad_norm: 4.5744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7268 loss: 0.7268 2022/08/11 13:53:49 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 2.0000e-04 eta: 1:17:59 time: 0.8312 data_time: 0.0183 memory: 19925 grad_norm: 4.3383 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8783 loss: 0.8783 2022/08/11 13:54:06 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 2.0000e-04 eta: 1:17:41 time: 0.8325 data_time: 0.0171 memory: 19925 grad_norm: 4.5823 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8497 loss: 0.8497 2022/08/11 13:54:22 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 2.0000e-04 eta: 1:17:24 time: 0.8334 data_time: 0.0178 memory: 19925 grad_norm: 4.3377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/11 13:54:39 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 2.0000e-04 eta: 1:17:07 time: 0.8331 data_time: 0.0189 memory: 19925 grad_norm: 4.3520 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8227 loss: 0.8227 2022/08/11 13:54:56 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 2.0000e-04 eta: 1:16:50 time: 0.8382 data_time: 0.0182 memory: 19925 grad_norm: 4.3378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/11 13:55:13 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 2.0000e-04 eta: 1:16:33 time: 0.8465 data_time: 0.0183 memory: 19925 grad_norm: 4.5007 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7853 loss: 0.7853 2022/08/11 13:55:30 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 2.0000e-04 eta: 1:16:16 time: 0.8449 data_time: 0.0178 memory: 19925 grad_norm: 4.4437 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/11 13:55:46 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 2.0000e-04 eta: 1:15:58 time: 0.8350 data_time: 0.0178 memory: 19925 grad_norm: 4.3855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6162 loss: 0.6162 2022/08/11 13:56:03 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 2.0000e-04 eta: 1:15:41 time: 0.8340 data_time: 0.0191 memory: 19925 grad_norm: 4.4733 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8564 loss: 0.8564 2022/08/11 13:56:20 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 2.0000e-04 eta: 1:15:24 time: 0.8404 data_time: 0.0185 memory: 19925 grad_norm: 4.3475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8352 loss: 0.8352 2022/08/11 13:56:37 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 2.0000e-04 eta: 1:15:07 time: 0.8309 data_time: 0.0182 memory: 19925 grad_norm: 4.4288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7475 loss: 0.7475 2022/08/11 13:56:53 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 2.0000e-04 eta: 1:14:50 time: 0.8389 data_time: 0.0217 memory: 19925 grad_norm: 4.4385 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8593 loss: 0.8593 2022/08/11 13:57:10 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 2.0000e-04 eta: 1:14:33 time: 0.8328 data_time: 0.0179 memory: 19925 grad_norm: 4.5300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8000 loss: 0.8000 2022/08/11 13:57:27 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 2.0000e-04 eta: 1:14:15 time: 0.8389 data_time: 0.0184 memory: 19925 grad_norm: 4.3847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8115 loss: 0.8115 2022/08/11 13:57:44 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 2.0000e-04 eta: 1:13:58 time: 0.8375 data_time: 0.0204 memory: 19925 grad_norm: 4.3976 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8653 loss: 0.8653 2022/08/11 13:58:02 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 2.0000e-04 eta: 1:13:41 time: 0.9009 data_time: 0.0172 memory: 19925 grad_norm: 4.5087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8457 loss: 0.8457 2022/08/11 13:58:18 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 2.0000e-04 eta: 1:13:24 time: 0.8325 data_time: 0.0186 memory: 19925 grad_norm: 4.5368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8294 loss: 0.8294 2022/08/11 13:58:35 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 2.0000e-04 eta: 1:13:07 time: 0.8376 data_time: 0.0176 memory: 19925 grad_norm: 4.4159 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9126 loss: 0.9126 2022/08/11 13:58:52 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 2.0000e-04 eta: 1:12:50 time: 0.8352 data_time: 0.0179 memory: 19925 grad_norm: 4.5142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8543 loss: 0.8543 2022/08/11 13:59:08 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 2.0000e-04 eta: 1:12:32 time: 0.8334 data_time: 0.0172 memory: 19925 grad_norm: 4.3582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/08/11 13:59:25 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 2.0000e-04 eta: 1:12:15 time: 0.8400 data_time: 0.0216 memory: 19925 grad_norm: 4.3220 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7521 loss: 0.7521 2022/08/11 13:59:42 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 2.0000e-04 eta: 1:11:58 time: 0.8331 data_time: 0.0170 memory: 19925 grad_norm: 4.2842 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7556 loss: 0.7556 2022/08/11 13:59:59 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 2.0000e-04 eta: 1:11:41 time: 0.8359 data_time: 0.0181 memory: 19925 grad_norm: 4.3793 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7460 loss: 0.7460 2022/08/11 14:00:16 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 2.0000e-04 eta: 1:11:24 time: 0.8464 data_time: 0.0222 memory: 19925 grad_norm: 4.4871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9452 loss: 0.9452 2022/08/11 14:00:33 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 2.0000e-04 eta: 1:11:07 time: 0.8473 data_time: 0.0196 memory: 19925 grad_norm: 4.4306 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7630 loss: 0.7630 2022/08/11 14:00:49 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 2.0000e-04 eta: 1:10:49 time: 0.8372 data_time: 0.0170 memory: 19925 grad_norm: 4.5360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7479 loss: 0.7479 2022/08/11 14:00:55 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 14:01:06 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 2.0000e-04 eta: 1:10:32 time: 0.8301 data_time: 0.0185 memory: 19925 grad_norm: 4.4156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7206 loss: 0.7206 2022/08/11 14:01:23 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 2.0000e-04 eta: 1:10:15 time: 0.8341 data_time: 0.0169 memory: 19925 grad_norm: 4.4090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7474 loss: 0.7474 2022/08/11 14:01:39 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 2.0000e-04 eta: 1:09:58 time: 0.8333 data_time: 0.0166 memory: 19925 grad_norm: 4.5146 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7998 loss: 0.7998 2022/08/11 14:01:56 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 2.0000e-04 eta: 1:09:41 time: 0.8408 data_time: 0.0223 memory: 19925 grad_norm: 4.4609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/08/11 14:02:13 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 2.0000e-04 eta: 1:09:24 time: 0.8356 data_time: 0.0177 memory: 19925 grad_norm: 4.3990 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7548 loss: 0.7548 2022/08/11 14:02:30 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 2.0000e-04 eta: 1:09:06 time: 0.8340 data_time: 0.0157 memory: 19925 grad_norm: 4.4004 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7995 loss: 0.7995 2022/08/11 14:02:46 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 2.0000e-04 eta: 1:08:49 time: 0.8438 data_time: 0.0239 memory: 19925 grad_norm: 4.3521 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9010 loss: 0.9010 2022/08/11 14:03:03 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 2.0000e-04 eta: 1:08:32 time: 0.8455 data_time: 0.0154 memory: 19925 grad_norm: 4.3527 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7452 loss: 0.7452 2022/08/11 14:03:20 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 2.0000e-04 eta: 1:08:15 time: 0.8349 data_time: 0.0179 memory: 19925 grad_norm: 4.3627 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7389 loss: 0.7389 2022/08/11 14:03:37 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 2.0000e-04 eta: 1:07:58 time: 0.8333 data_time: 0.0189 memory: 19925 grad_norm: 4.4993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8231 loss: 0.8231 2022/08/11 14:03:53 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 2.0000e-04 eta: 1:07:41 time: 0.8341 data_time: 0.0192 memory: 19925 grad_norm: 4.3518 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8628 loss: 0.8628 2022/08/11 14:04:10 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 2.0000e-04 eta: 1:07:23 time: 0.8319 data_time: 0.0168 memory: 19925 grad_norm: 4.3747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8877 loss: 0.8877 2022/08/11 14:04:27 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 2.0000e-04 eta: 1:07:06 time: 0.8361 data_time: 0.0171 memory: 19925 grad_norm: 4.3882 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7751 loss: 0.7751 2022/08/11 14:04:44 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 2.0000e-04 eta: 1:06:49 time: 0.8345 data_time: 0.0171 memory: 19925 grad_norm: 4.4903 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7264 loss: 0.7264 2022/08/11 14:05:00 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 2.0000e-04 eta: 1:06:32 time: 0.8356 data_time: 0.0189 memory: 19925 grad_norm: 4.4862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8619 loss: 0.8619 2022/08/11 14:05:20 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 2.0000e-04 eta: 1:06:15 time: 1.0001 data_time: 0.0154 memory: 19925 grad_norm: 4.3856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8373 loss: 0.8373 2022/08/11 14:05:38 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 2.0000e-04 eta: 1:05:58 time: 0.8633 data_time: 0.0287 memory: 19925 grad_norm: 4.4644 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6902 loss: 0.6902 2022/08/11 14:05:55 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 2.0000e-04 eta: 1:05:41 time: 0.8670 data_time: 0.0393 memory: 19925 grad_norm: 4.4371 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7045 loss: 0.7045 2022/08/11 14:06:12 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 2.0000e-04 eta: 1:05:23 time: 0.8399 data_time: 0.0209 memory: 19925 grad_norm: 4.4638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8582 loss: 0.8582 2022/08/11 14:06:28 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 2.0000e-04 eta: 1:05:06 time: 0.8343 data_time: 0.0156 memory: 19925 grad_norm: 4.5536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7223 loss: 0.7223 2022/08/11 14:06:45 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 2.0000e-04 eta: 1:04:49 time: 0.8441 data_time: 0.0171 memory: 19925 grad_norm: 4.4228 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7645 loss: 0.7645 2022/08/11 14:07:03 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 2.0000e-04 eta: 1:04:32 time: 0.8822 data_time: 0.0166 memory: 19925 grad_norm: 4.5576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/11 14:07:20 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 2.0000e-04 eta: 1:04:15 time: 0.8414 data_time: 0.0178 memory: 19925 grad_norm: 4.4563 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/11 14:07:37 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 2.0000e-04 eta: 1:03:58 time: 0.8428 data_time: 0.0185 memory: 19925 grad_norm: 4.3475 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6116 loss: 0.6116 2022/08/11 14:07:55 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 2.0000e-04 eta: 1:03:41 time: 0.9182 data_time: 0.0236 memory: 19925 grad_norm: 4.4131 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8908 loss: 0.8908 2022/08/11 14:08:12 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 2.0000e-04 eta: 1:03:23 time: 0.8377 data_time: 0.0168 memory: 19925 grad_norm: 4.3317 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7368 loss: 0.7368 2022/08/11 14:08:28 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 2.0000e-04 eta: 1:03:06 time: 0.8362 data_time: 0.0171 memory: 19925 grad_norm: 4.4091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7592 loss: 0.7592 2022/08/11 14:08:45 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 2.0000e-04 eta: 1:02:49 time: 0.8373 data_time: 0.0165 memory: 19925 grad_norm: 4.5198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6866 loss: 0.6866 2022/08/11 14:09:02 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 2.0000e-04 eta: 1:02:32 time: 0.8370 data_time: 0.0175 memory: 19925 grad_norm: 4.3176 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7039 loss: 0.7039 2022/08/11 14:09:19 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 2.0000e-04 eta: 1:02:15 time: 0.8429 data_time: 0.0166 memory: 19925 grad_norm: 4.4931 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6735 loss: 0.6735 2022/08/11 14:09:36 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 2.0000e-04 eta: 1:01:58 time: 0.8429 data_time: 0.0176 memory: 19925 grad_norm: 4.3889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/11 14:09:53 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 2.0000e-04 eta: 1:01:40 time: 0.8422 data_time: 0.0180 memory: 19925 grad_norm: 4.4087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/08/11 14:10:09 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 2.0000e-04 eta: 1:01:23 time: 0.8381 data_time: 0.0177 memory: 19925 grad_norm: 4.4191 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/08/11 14:10:26 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 2.0000e-04 eta: 1:01:06 time: 0.8553 data_time: 0.0255 memory: 19925 grad_norm: 4.3887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/11 14:10:43 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 2.0000e-04 eta: 1:00:49 time: 0.8352 data_time: 0.0191 memory: 19925 grad_norm: 4.4498 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/08/11 14:11:00 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 2.0000e-04 eta: 1:00:32 time: 0.8354 data_time: 0.0161 memory: 19925 grad_norm: 4.3107 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9217 loss: 0.9217 2022/08/11 14:11:17 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 2.0000e-04 eta: 1:00:15 time: 0.8351 data_time: 0.0180 memory: 19925 grad_norm: 4.3199 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7920 loss: 0.7920 2022/08/11 14:11:33 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 2.0000e-04 eta: 0:59:57 time: 0.8304 data_time: 0.0162 memory: 19925 grad_norm: 4.4536 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9072 loss: 0.9072 2022/08/11 14:11:50 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 2.0000e-04 eta: 0:59:40 time: 0.8314 data_time: 0.0184 memory: 19925 grad_norm: 4.4869 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8144 loss: 0.8144 2022/08/11 14:12:07 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 2.0000e-04 eta: 0:59:23 time: 0.8399 data_time: 0.0175 memory: 19925 grad_norm: 4.3857 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9745 loss: 0.9745 2022/08/11 14:12:23 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 2.0000e-04 eta: 0:59:06 time: 0.8371 data_time: 0.0193 memory: 19925 grad_norm: 4.4740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9804 loss: 0.9804 2022/08/11 14:12:40 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 2.0000e-04 eta: 0:58:49 time: 0.8381 data_time: 0.0168 memory: 19925 grad_norm: 4.2959 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7053 loss: 0.7053 2022/08/11 14:12:57 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 2.0000e-04 eta: 0:58:32 time: 0.8360 data_time: 0.0184 memory: 19925 grad_norm: 4.4635 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/11 14:13:14 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 2.0000e-04 eta: 0:58:14 time: 0.8338 data_time: 0.0159 memory: 19925 grad_norm: 4.3646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/11 14:13:30 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 2.0000e-04 eta: 0:57:57 time: 0.8373 data_time: 0.0166 memory: 19925 grad_norm: 4.4999 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8212 loss: 0.8212 2022/08/11 14:13:47 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 2.0000e-04 eta: 0:57:40 time: 0.8323 data_time: 0.0204 memory: 19925 grad_norm: 4.4931 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8132 loss: 0.8132 2022/08/11 14:14:04 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 2.0000e-04 eta: 0:57:23 time: 0.8279 data_time: 0.0186 memory: 19925 grad_norm: 4.3243 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9779 loss: 0.9779 2022/08/11 14:14:20 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 2.0000e-04 eta: 0:57:06 time: 0.8351 data_time: 0.0167 memory: 19925 grad_norm: 4.4281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9094 loss: 0.9094 2022/08/11 14:14:37 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 2.0000e-04 eta: 0:56:49 time: 0.8324 data_time: 0.0199 memory: 19925 grad_norm: 4.2821 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8202 loss: 0.8202 2022/08/11 14:14:54 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 2.0000e-04 eta: 0:56:31 time: 0.8302 data_time: 0.0184 memory: 19925 grad_norm: 4.4119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9139 loss: 0.9139 2022/08/11 14:14:59 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 14:15:10 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 2.0000e-04 eta: 0:56:14 time: 0.8388 data_time: 0.0202 memory: 19925 grad_norm: 4.3602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6450 loss: 0.6450 2022/08/11 14:15:27 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 2.0000e-04 eta: 0:55:57 time: 0.8484 data_time: 0.0209 memory: 19925 grad_norm: 4.4356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8625 loss: 0.8625 2022/08/11 14:15:44 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 2.0000e-04 eta: 0:55:40 time: 0.8406 data_time: 0.0182 memory: 19925 grad_norm: 4.6224 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8844 loss: 0.8844 2022/08/11 14:16:01 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 2.0000e-04 eta: 0:55:23 time: 0.8362 data_time: 0.0156 memory: 19925 grad_norm: 4.3040 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7219 loss: 0.7219 2022/08/11 14:16:18 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 2.0000e-04 eta: 0:55:06 time: 0.8380 data_time: 0.0177 memory: 19925 grad_norm: 4.4707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7504 loss: 0.7504 2022/08/11 14:16:34 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 2.0000e-04 eta: 0:54:48 time: 0.8335 data_time: 0.0162 memory: 19925 grad_norm: 4.3825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7133 loss: 0.7133 2022/08/11 14:16:51 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 2.0000e-04 eta: 0:54:31 time: 0.8342 data_time: 0.0204 memory: 19925 grad_norm: 4.4253 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8724 loss: 0.8724 2022/08/11 14:17:08 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 2.0000e-04 eta: 0:54:14 time: 0.8347 data_time: 0.0167 memory: 19925 grad_norm: 4.4852 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/11 14:17:24 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 2.0000e-04 eta: 0:53:57 time: 0.8324 data_time: 0.0174 memory: 19925 grad_norm: 4.4022 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/08/11 14:17:40 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 14:17:40 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 2.0000e-04 eta: 0:53:57 time: 0.8066 data_time: 0.0172 memory: 19925 grad_norm: 4.4093 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8147 loss: 0.8147 2022/08/11 14:17:40 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/11 14:17:56 - mmengine - INFO - Epoch(val) [48][20/155] eta: 0:01:39 time: 0.7335 data_time: 0.4991 memory: 2570 2022/08/11 14:18:07 - mmengine - INFO - Epoch(val) [48][40/155] eta: 0:01:00 time: 0.5265 data_time: 0.2936 memory: 2570 2022/08/11 14:18:19 - mmengine - INFO - Epoch(val) [48][60/155] eta: 0:00:58 time: 0.6130 data_time: 0.3785 memory: 2570 2022/08/11 14:18:31 - mmengine - INFO - Epoch(val) [48][80/155] eta: 0:00:42 time: 0.5658 data_time: 0.3335 memory: 2570 2022/08/11 14:18:44 - mmengine - INFO - Epoch(val) [48][100/155] eta: 0:00:35 time: 0.6545 data_time: 0.4234 memory: 2570 2022/08/11 14:18:53 - mmengine - INFO - Epoch(val) [48][120/155] eta: 0:00:16 time: 0.4836 data_time: 0.2532 memory: 2570 2022/08/11 14:19:06 - mmengine - INFO - Epoch(val) [48][140/155] eta: 0:00:09 time: 0.6409 data_time: 0.4108 memory: 2570 2022/08/11 14:19:20 - mmengine - INFO - Epoch(val) [48][155/155] acc/top1: 0.7189 acc/top5: 0.9055 acc/mean1: 0.7188 2022/08/11 14:19:44 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 2.0000e-04 eta: 0:53:23 time: 1.2080 data_time: 0.1974 memory: 19925 grad_norm: 4.5744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7817 loss: 0.7817 2022/08/11 14:20:01 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 2.0000e-04 eta: 0:53:06 time: 0.8319 data_time: 0.0176 memory: 19925 grad_norm: 4.5946 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9974 loss: 0.9974 2022/08/11 14:20:18 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 2.0000e-04 eta: 0:52:49 time: 0.8650 data_time: 0.0291 memory: 19925 grad_norm: 4.4614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/11 14:20:35 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 2.0000e-04 eta: 0:52:32 time: 0.8371 data_time: 0.0199 memory: 19925 grad_norm: 4.4037 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8137 loss: 0.8137 2022/08/11 14:20:51 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 2.0000e-04 eta: 0:52:15 time: 0.8293 data_time: 0.0165 memory: 19925 grad_norm: 4.3080 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8188 loss: 0.8188 2022/08/11 14:21:08 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 2.0000e-04 eta: 0:51:57 time: 0.8311 data_time: 0.0180 memory: 19925 grad_norm: 4.6096 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9376 loss: 0.9376 2022/08/11 14:21:24 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 2.0000e-04 eta: 0:51:40 time: 0.8286 data_time: 0.0171 memory: 19925 grad_norm: 4.4402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8452 loss: 0.8452 2022/08/11 14:21:41 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 2.0000e-04 eta: 0:51:23 time: 0.8286 data_time: 0.0185 memory: 19925 grad_norm: 4.3273 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6720 loss: 0.6720 2022/08/11 14:21:58 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 2.0000e-04 eta: 0:51:06 time: 0.8309 data_time: 0.0177 memory: 19925 grad_norm: 4.4635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7236 loss: 0.7236 2022/08/11 14:22:14 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 2.0000e-04 eta: 0:50:49 time: 0.8329 data_time: 0.0185 memory: 19925 grad_norm: 4.4058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8436 loss: 0.8436 2022/08/11 14:22:31 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 2.0000e-04 eta: 0:50:32 time: 0.8350 data_time: 0.0173 memory: 19925 grad_norm: 4.4850 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8768 loss: 0.8768 2022/08/11 14:22:48 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 2.0000e-04 eta: 0:50:14 time: 0.8330 data_time: 0.0181 memory: 19925 grad_norm: 4.6191 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/11 14:23:04 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 2.0000e-04 eta: 0:49:57 time: 0.8339 data_time: 0.0182 memory: 19925 grad_norm: 4.4117 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7704 loss: 0.7704 2022/08/11 14:23:21 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 2.0000e-04 eta: 0:49:40 time: 0.8379 data_time: 0.0180 memory: 19925 grad_norm: 4.5763 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9463 loss: 0.9463 2022/08/11 14:23:38 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 2.0000e-04 eta: 0:49:23 time: 0.8332 data_time: 0.0183 memory: 19925 grad_norm: 4.3875 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6954 loss: 0.6954 2022/08/11 14:23:54 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 2.0000e-04 eta: 0:49:06 time: 0.8307 data_time: 0.0179 memory: 19925 grad_norm: 4.4054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7118 loss: 0.7118 2022/08/11 14:24:11 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 2.0000e-04 eta: 0:48:49 time: 0.8356 data_time: 0.0199 memory: 19925 grad_norm: 4.3658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7859 loss: 0.7859 2022/08/11 14:24:28 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 2.0000e-04 eta: 0:48:31 time: 0.8397 data_time: 0.0273 memory: 19925 grad_norm: 4.3622 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7293 loss: 0.7293 2022/08/11 14:24:45 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 2.0000e-04 eta: 0:48:14 time: 0.8318 data_time: 0.0192 memory: 19925 grad_norm: 4.3473 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8377 loss: 0.8377 2022/08/11 14:25:01 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 2.0000e-04 eta: 0:47:57 time: 0.8338 data_time: 0.0179 memory: 19925 grad_norm: 4.4627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8462 loss: 0.8462 2022/08/11 14:25:19 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 2.0000e-04 eta: 0:47:40 time: 0.8624 data_time: 0.0226 memory: 19925 grad_norm: 4.5690 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8289 loss: 0.8289 2022/08/11 14:25:35 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 2.0000e-04 eta: 0:47:23 time: 0.8442 data_time: 0.0178 memory: 19925 grad_norm: 4.2940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8516 loss: 0.8516 2022/08/11 14:25:52 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 2.0000e-04 eta: 0:47:06 time: 0.8345 data_time: 0.0175 memory: 19925 grad_norm: 4.4863 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7965 loss: 0.7965 2022/08/11 14:26:09 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 2.0000e-04 eta: 0:46:49 time: 0.8430 data_time: 0.0178 memory: 19925 grad_norm: 4.3103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/08/11 14:26:26 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 2.0000e-04 eta: 0:46:31 time: 0.8391 data_time: 0.0182 memory: 19925 grad_norm: 4.5566 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7440 loss: 0.7440 2022/08/11 14:26:43 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 2.0000e-04 eta: 0:46:14 time: 0.8480 data_time: 0.0168 memory: 19925 grad_norm: 4.4323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8933 loss: 0.8933 2022/08/11 14:26:59 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 2.0000e-04 eta: 0:45:57 time: 0.8326 data_time: 0.0182 memory: 19925 grad_norm: 4.4222 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7795 loss: 0.7795 2022/08/11 14:27:16 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 2.0000e-04 eta: 0:45:40 time: 0.8355 data_time: 0.0182 memory: 19925 grad_norm: 4.4702 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9292 loss: 0.9292 2022/08/11 14:27:33 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 2.0000e-04 eta: 0:45:23 time: 0.8358 data_time: 0.0198 memory: 19925 grad_norm: 4.5833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6789 loss: 0.6789 2022/08/11 14:27:50 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 2.0000e-04 eta: 0:45:06 time: 0.8301 data_time: 0.0183 memory: 19925 grad_norm: 4.3397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8525 loss: 0.8525 2022/08/11 14:28:08 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 2.0000e-04 eta: 0:44:49 time: 0.9112 data_time: 0.0954 memory: 19925 grad_norm: 4.4968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9187 loss: 0.9187 2022/08/11 14:28:24 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 2.0000e-04 eta: 0:44:31 time: 0.8312 data_time: 0.0203 memory: 19925 grad_norm: 4.4966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9180 loss: 0.9180 2022/08/11 14:28:41 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 2.0000e-04 eta: 0:44:14 time: 0.8321 data_time: 0.0177 memory: 19925 grad_norm: 4.4211 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9220 loss: 0.9220 2022/08/11 14:28:58 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 2.0000e-04 eta: 0:43:57 time: 0.8290 data_time: 0.0185 memory: 19925 grad_norm: 4.3851 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8321 loss: 0.8321 2022/08/11 14:29:14 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 2.0000e-04 eta: 0:43:40 time: 0.8316 data_time: 0.0180 memory: 19925 grad_norm: 4.4343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/11 14:29:31 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 2.0000e-04 eta: 0:43:23 time: 0.8317 data_time: 0.0176 memory: 19925 grad_norm: 4.4593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8062 loss: 0.8062 2022/08/11 14:29:48 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 2.0000e-04 eta: 0:43:06 time: 0.8337 data_time: 0.0201 memory: 19925 grad_norm: 4.3248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6925 loss: 0.6925 2022/08/11 14:30:04 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 2.0000e-04 eta: 0:42:48 time: 0.8434 data_time: 0.0191 memory: 19925 grad_norm: 4.3886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8008 loss: 0.8008 2022/08/11 14:30:22 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 2.0000e-04 eta: 0:42:31 time: 0.8707 data_time: 0.0558 memory: 19925 grad_norm: 4.3209 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6719 loss: 0.6719 2022/08/11 14:30:38 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 2.0000e-04 eta: 0:42:14 time: 0.8305 data_time: 0.0186 memory: 19925 grad_norm: 4.3934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7701 loss: 0.7701 2022/08/11 14:30:45 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 14:30:55 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 2.0000e-04 eta: 0:41:57 time: 0.8297 data_time: 0.0184 memory: 19925 grad_norm: 4.4643 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6801 loss: 0.6801 2022/08/11 14:31:12 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 2.0000e-04 eta: 0:41:40 time: 0.8326 data_time: 0.0187 memory: 19925 grad_norm: 4.4522 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0102 loss: 1.0102 2022/08/11 14:31:28 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 2.0000e-04 eta: 0:41:23 time: 0.8370 data_time: 0.0194 memory: 19925 grad_norm: 4.4128 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7840 loss: 0.7840 2022/08/11 14:31:45 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 2.0000e-04 eta: 0:41:06 time: 0.8391 data_time: 0.0184 memory: 19925 grad_norm: 4.3630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7885 loss: 0.7885 2022/08/11 14:32:02 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 2.0000e-04 eta: 0:40:48 time: 0.8337 data_time: 0.0194 memory: 19925 grad_norm: 4.4493 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9058 loss: 0.9058 2022/08/11 14:32:19 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 2.0000e-04 eta: 0:40:31 time: 0.8351 data_time: 0.0184 memory: 19925 grad_norm: 4.4247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7528 loss: 0.7528 2022/08/11 14:32:36 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 2.0000e-04 eta: 0:40:14 time: 0.8573 data_time: 0.0181 memory: 19925 grad_norm: 4.3145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7139 loss: 0.7139 2022/08/11 14:32:53 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 2.0000e-04 eta: 0:39:57 time: 0.8325 data_time: 0.0188 memory: 19925 grad_norm: 4.3684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9496 loss: 0.9496 2022/08/11 14:33:09 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 2.0000e-04 eta: 0:39:40 time: 0.8334 data_time: 0.0196 memory: 19925 grad_norm: 4.4582 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6522 loss: 0.6522 2022/08/11 14:33:26 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 2.0000e-04 eta: 0:39:23 time: 0.8410 data_time: 0.0205 memory: 19925 grad_norm: 4.4156 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7244 loss: 0.7244 2022/08/11 14:33:43 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 2.0000e-04 eta: 0:39:06 time: 0.8343 data_time: 0.0189 memory: 19925 grad_norm: 4.3175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7871 loss: 0.7871 2022/08/11 14:33:59 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 2.0000e-04 eta: 0:38:48 time: 0.8295 data_time: 0.0183 memory: 19925 grad_norm: 4.4017 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7639 loss: 0.7639 2022/08/11 14:34:16 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 2.0000e-04 eta: 0:38:31 time: 0.8294 data_time: 0.0195 memory: 19925 grad_norm: 4.4417 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8012 loss: 0.8012 2022/08/11 14:34:33 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 2.0000e-04 eta: 0:38:14 time: 0.8428 data_time: 0.0181 memory: 19925 grad_norm: 4.3984 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7080 loss: 0.7080 2022/08/11 14:34:49 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 2.0000e-04 eta: 0:37:57 time: 0.8345 data_time: 0.0187 memory: 19925 grad_norm: 4.3984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8223 loss: 0.8223 2022/08/11 14:35:06 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 2.0000e-04 eta: 0:37:40 time: 0.8332 data_time: 0.0181 memory: 19925 grad_norm: 4.4329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8266 loss: 0.8266 2022/08/11 14:35:24 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 2.0000e-04 eta: 0:37:23 time: 0.8678 data_time: 0.0513 memory: 19925 grad_norm: 4.3352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8039 loss: 0.8039 2022/08/11 14:35:40 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 2.0000e-04 eta: 0:37:06 time: 0.8368 data_time: 0.0180 memory: 19925 grad_norm: 4.4664 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8020 loss: 0.8020 2022/08/11 14:35:57 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 2.0000e-04 eta: 0:36:48 time: 0.8338 data_time: 0.0183 memory: 19925 grad_norm: 4.3374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6636 loss: 0.6636 2022/08/11 14:36:14 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 2.0000e-04 eta: 0:36:31 time: 0.8298 data_time: 0.0184 memory: 19925 grad_norm: 4.4344 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7401 loss: 0.7401 2022/08/11 14:36:30 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 2.0000e-04 eta: 0:36:14 time: 0.8341 data_time: 0.0189 memory: 19925 grad_norm: 4.4448 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7018 loss: 0.7018 2022/08/11 14:36:47 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 2.0000e-04 eta: 0:35:57 time: 0.8381 data_time: 0.0190 memory: 19925 grad_norm: 4.5031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9087 loss: 0.9087 2022/08/11 14:37:04 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 2.0000e-04 eta: 0:35:40 time: 0.8358 data_time: 0.0196 memory: 19925 grad_norm: 4.6218 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0021 loss: 1.0021 2022/08/11 14:37:21 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 2.0000e-04 eta: 0:35:23 time: 0.8398 data_time: 0.0176 memory: 19925 grad_norm: 4.3170 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7180 loss: 0.7180 2022/08/11 14:37:37 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 2.0000e-04 eta: 0:35:05 time: 0.8334 data_time: 0.0181 memory: 19925 grad_norm: 4.4628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8446 loss: 0.8446 2022/08/11 14:37:55 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 2.0000e-04 eta: 0:34:48 time: 0.8868 data_time: 0.0485 memory: 19925 grad_norm: 4.4756 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8746 loss: 0.8746 2022/08/11 14:38:12 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 2.0000e-04 eta: 0:34:31 time: 0.8348 data_time: 0.0188 memory: 19925 grad_norm: 4.5269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/11 14:38:28 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 2.0000e-04 eta: 0:34:14 time: 0.8321 data_time: 0.0184 memory: 19925 grad_norm: 4.3080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6945 loss: 0.6945 2022/08/11 14:38:45 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 2.0000e-04 eta: 0:33:57 time: 0.8364 data_time: 0.0200 memory: 19925 grad_norm: 4.4870 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7886 loss: 0.7886 2022/08/11 14:39:02 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 2.0000e-04 eta: 0:33:40 time: 0.8354 data_time: 0.0188 memory: 19925 grad_norm: 4.3965 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8499 loss: 0.8499 2022/08/11 14:39:19 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 2.0000e-04 eta: 0:33:23 time: 0.8379 data_time: 0.0177 memory: 19925 grad_norm: 4.4736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8910 loss: 0.8910 2022/08/11 14:39:35 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 2.0000e-04 eta: 0:33:05 time: 0.8370 data_time: 0.0172 memory: 19925 grad_norm: 4.4739 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/08/11 14:39:52 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 2.0000e-04 eta: 0:32:48 time: 0.8323 data_time: 0.0183 memory: 19925 grad_norm: 4.4922 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7805 loss: 0.7805 2022/08/11 14:40:09 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 2.0000e-04 eta: 0:32:31 time: 0.8402 data_time: 0.0210 memory: 19925 grad_norm: 4.5287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9365 loss: 0.9365 2022/08/11 14:40:26 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 2.0000e-04 eta: 0:32:14 time: 0.8539 data_time: 0.0261 memory: 19925 grad_norm: 4.4502 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6793 loss: 0.6793 2022/08/11 14:40:43 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 2.0000e-04 eta: 0:31:57 time: 0.8336 data_time: 0.0170 memory: 19925 grad_norm: 4.4377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8099 loss: 0.8099 2022/08/11 14:40:59 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 2.0000e-04 eta: 0:31:40 time: 0.8307 data_time: 0.0191 memory: 19925 grad_norm: 4.6388 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0612 loss: 1.0612 2022/08/11 14:41:16 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 2.0000e-04 eta: 0:31:23 time: 0.8422 data_time: 0.0177 memory: 19925 grad_norm: 4.4430 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9257 loss: 0.9257 2022/08/11 14:41:36 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 2.0000e-04 eta: 0:31:06 time: 0.9758 data_time: 0.0176 memory: 19925 grad_norm: 4.3572 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8913 loss: 0.8913 2022/08/11 14:41:52 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 2.0000e-04 eta: 0:30:48 time: 0.8351 data_time: 0.0183 memory: 19925 grad_norm: 4.3969 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7952 loss: 0.7952 2022/08/11 14:42:09 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 2.0000e-04 eta: 0:30:31 time: 0.8321 data_time: 0.0178 memory: 19925 grad_norm: 4.4473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/08/11 14:42:26 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 2.0000e-04 eta: 0:30:14 time: 0.8318 data_time: 0.0176 memory: 19925 grad_norm: 4.2603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/08/11 14:42:42 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 2.0000e-04 eta: 0:29:57 time: 0.8293 data_time: 0.0186 memory: 19925 grad_norm: 4.4125 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7338 loss: 0.7338 2022/08/11 14:42:59 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 2.0000e-04 eta: 0:29:40 time: 0.8333 data_time: 0.0188 memory: 19925 grad_norm: 4.5802 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8716 loss: 0.8716 2022/08/11 14:43:15 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 2.0000e-04 eta: 0:29:23 time: 0.8322 data_time: 0.0193 memory: 19925 grad_norm: 4.4671 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8216 loss: 0.8216 2022/08/11 14:43:32 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 2.0000e-04 eta: 0:29:06 time: 0.8321 data_time: 0.0183 memory: 19925 grad_norm: 4.4921 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8211 loss: 0.8211 2022/08/11 14:43:49 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 2.0000e-04 eta: 0:28:48 time: 0.8359 data_time: 0.0199 memory: 19925 grad_norm: 4.3889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7967 loss: 0.7967 2022/08/11 14:44:06 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 2.0000e-04 eta: 0:28:31 time: 0.8376 data_time: 0.0190 memory: 19925 grad_norm: 4.3853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7355 loss: 0.7355 2022/08/11 14:44:22 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 2.0000e-04 eta: 0:28:14 time: 0.8358 data_time: 0.0180 memory: 19925 grad_norm: 4.3364 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9615 loss: 0.9615 2022/08/11 14:44:39 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 2.0000e-04 eta: 0:27:57 time: 0.8402 data_time: 0.0185 memory: 19925 grad_norm: 4.4040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8018 loss: 0.8018 2022/08/11 14:44:46 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 14:44:56 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 2.0000e-04 eta: 0:27:40 time: 0.8305 data_time: 0.0179 memory: 19925 grad_norm: 4.5347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8479 loss: 0.8479 2022/08/11 14:45:13 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 2.0000e-04 eta: 0:27:23 time: 0.8439 data_time: 0.0208 memory: 19925 grad_norm: 4.4044 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7743 loss: 0.7743 2022/08/11 14:45:29 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 2.0000e-04 eta: 0:27:06 time: 0.8350 data_time: 0.0180 memory: 19925 grad_norm: 4.3708 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7362 loss: 0.7362 2022/08/11 14:45:45 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 14:45:45 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 2.0000e-04 eta: 0:27:06 time: 0.8077 data_time: 0.0160 memory: 19925 grad_norm: 4.5552 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8144 loss: 0.8144 2022/08/11 14:45:58 - mmengine - INFO - Epoch(val) [49][20/155] eta: 0:01:31 time: 0.6776 data_time: 0.4429 memory: 2570 2022/08/11 14:46:07 - mmengine - INFO - Epoch(val) [49][40/155] eta: 0:00:49 time: 0.4317 data_time: 0.1987 memory: 2570 2022/08/11 14:46:17 - mmengine - INFO - Epoch(val) [49][60/155] eta: 0:00:48 time: 0.5061 data_time: 0.2750 memory: 2570 2022/08/11 14:46:24 - mmengine - INFO - Epoch(val) [49][80/155] eta: 0:00:26 time: 0.3508 data_time: 0.1203 memory: 2570 2022/08/11 14:46:33 - mmengine - INFO - Epoch(val) [49][100/155] eta: 0:00:24 time: 0.4516 data_time: 0.2206 memory: 2570 2022/08/11 14:46:42 - mmengine - INFO - Epoch(val) [49][120/155] eta: 0:00:15 time: 0.4571 data_time: 0.2264 memory: 2570 2022/08/11 14:46:52 - mmengine - INFO - Epoch(val) [49][140/155] eta: 0:00:07 time: 0.4783 data_time: 0.2480 memory: 2570 2022/08/11 14:47:27 - mmengine - INFO - Epoch(val) [49][155/155] acc/top1: 0.7177 acc/top5: 0.9055 acc/mean1: 0.7176 2022/08/11 14:47:51 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 2.0000e-04 eta: 0:26:32 time: 1.1441 data_time: 0.2041 memory: 19925 grad_norm: 4.4251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8384 loss: 0.8384 2022/08/11 14:48:07 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 2.0000e-04 eta: 0:26:15 time: 0.8782 data_time: 0.0669 memory: 19925 grad_norm: 4.3586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/11 14:48:24 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 2.0000e-04 eta: 0:25:58 time: 0.8388 data_time: 0.0190 memory: 19925 grad_norm: 4.4624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/11 14:48:41 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 2.0000e-04 eta: 0:25:40 time: 0.8385 data_time: 0.0202 memory: 19925 grad_norm: 4.4466 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5883 loss: 0.5883 2022/08/11 14:48:58 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 2.0000e-04 eta: 0:25:23 time: 0.8336 data_time: 0.0200 memory: 19925 grad_norm: 4.3952 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8512 loss: 0.8512 2022/08/11 14:49:14 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 2.0000e-04 eta: 0:25:06 time: 0.8393 data_time: 0.0192 memory: 19925 grad_norm: 4.4199 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7456 loss: 0.7456 2022/08/11 14:49:35 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 2.0000e-04 eta: 0:24:49 time: 1.0052 data_time: 0.0196 memory: 19925 grad_norm: 4.3724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9254 loss: 0.9254 2022/08/11 14:49:51 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 2.0000e-04 eta: 0:24:32 time: 0.8337 data_time: 0.0188 memory: 19925 grad_norm: 4.3750 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9389 loss: 0.9389 2022/08/11 14:50:08 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 2.0000e-04 eta: 0:24:15 time: 0.8369 data_time: 0.0172 memory: 19925 grad_norm: 4.4215 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7317 loss: 0.7317 2022/08/11 14:50:25 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 2.0000e-04 eta: 0:23:58 time: 0.8611 data_time: 0.0223 memory: 19925 grad_norm: 4.2885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7198 loss: 0.7198 2022/08/11 14:50:42 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 2.0000e-04 eta: 0:23:41 time: 0.8415 data_time: 0.0169 memory: 19925 grad_norm: 4.3606 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8706 loss: 0.8706 2022/08/11 14:50:59 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 2.0000e-04 eta: 0:23:23 time: 0.8344 data_time: 0.0187 memory: 19925 grad_norm: 4.4406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/08/11 14:51:16 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 2.0000e-04 eta: 0:23:06 time: 0.8433 data_time: 0.0182 memory: 19925 grad_norm: 4.4456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8127 loss: 0.8127 2022/08/11 14:51:32 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 2.0000e-04 eta: 0:22:49 time: 0.8301 data_time: 0.0189 memory: 19925 grad_norm: 4.3850 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8399 loss: 0.8399 2022/08/11 14:51:49 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 2.0000e-04 eta: 0:22:32 time: 0.8402 data_time: 0.0250 memory: 19925 grad_norm: 4.3464 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6989 loss: 0.6989 2022/08/11 14:52:06 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 2.0000e-04 eta: 0:22:15 time: 0.8324 data_time: 0.0195 memory: 19925 grad_norm: 4.4277 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8594 loss: 0.8594 2022/08/11 14:52:23 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 2.0000e-04 eta: 0:21:58 time: 0.8432 data_time: 0.0242 memory: 19925 grad_norm: 4.3166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7659 loss: 0.7659 2022/08/11 14:52:39 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 2.0000e-04 eta: 0:21:41 time: 0.8389 data_time: 0.0182 memory: 19925 grad_norm: 4.3578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8035 loss: 0.8035 2022/08/11 14:52:56 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 2.0000e-04 eta: 0:21:23 time: 0.8343 data_time: 0.0178 memory: 19925 grad_norm: 4.4036 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8050 loss: 0.8050 2022/08/11 14:53:13 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 2.0000e-04 eta: 0:21:06 time: 0.8434 data_time: 0.0180 memory: 19925 grad_norm: 4.4496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7521 loss: 0.7521 2022/08/11 14:53:30 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 2.0000e-04 eta: 0:20:49 time: 0.8392 data_time: 0.0189 memory: 19925 grad_norm: 4.3328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6975 loss: 0.6975 2022/08/11 14:53:47 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 2.0000e-04 eta: 0:20:32 time: 0.8387 data_time: 0.0193 memory: 19925 grad_norm: 4.3600 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8361 loss: 0.8361 2022/08/11 14:54:03 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 2.0000e-04 eta: 0:20:15 time: 0.8414 data_time: 0.0198 memory: 19925 grad_norm: 4.6200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8002 loss: 0.8002 2022/08/11 14:54:20 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 2.0000e-04 eta: 0:19:58 time: 0.8345 data_time: 0.0181 memory: 19925 grad_norm: 4.2898 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/08/11 14:54:37 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 2.0000e-04 eta: 0:19:41 time: 0.8320 data_time: 0.0184 memory: 19925 grad_norm: 4.3216 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7654 loss: 0.7654 2022/08/11 14:54:54 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 2.0000e-04 eta: 0:19:24 time: 0.8389 data_time: 0.0171 memory: 19925 grad_norm: 4.3757 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8079 loss: 0.8079 2022/08/11 14:55:11 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 2.0000e-04 eta: 0:19:06 time: 0.8511 data_time: 0.0206 memory: 19925 grad_norm: 4.3918 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7247 loss: 0.7247 2022/08/11 14:55:27 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 2.0000e-04 eta: 0:18:49 time: 0.8342 data_time: 0.0188 memory: 19925 grad_norm: 4.3676 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7451 loss: 0.7451 2022/08/11 14:55:44 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 2.0000e-04 eta: 0:18:32 time: 0.8413 data_time: 0.0183 memory: 19925 grad_norm: 4.3164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7900 loss: 0.7900 2022/08/11 14:56:01 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 2.0000e-04 eta: 0:18:15 time: 0.8376 data_time: 0.0176 memory: 19925 grad_norm: 4.3480 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/08/11 14:56:18 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 2.0000e-04 eta: 0:17:58 time: 0.8398 data_time: 0.0183 memory: 19925 grad_norm: 4.3487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7823 loss: 0.7823 2022/08/11 14:56:35 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 2.0000e-04 eta: 0:17:41 time: 0.8409 data_time: 0.0184 memory: 19925 grad_norm: 4.5630 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8357 loss: 0.8357 2022/08/11 14:56:51 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 2.0000e-04 eta: 0:17:24 time: 0.8404 data_time: 0.0165 memory: 19925 grad_norm: 4.3673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7993 loss: 0.7993 2022/08/11 14:57:08 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 2.0000e-04 eta: 0:17:06 time: 0.8434 data_time: 0.0188 memory: 19925 grad_norm: 4.4687 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/08/11 14:57:26 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 2.0000e-04 eta: 0:16:49 time: 0.9101 data_time: 0.0173 memory: 19925 grad_norm: 4.4402 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8874 loss: 0.8874 2022/08/11 14:57:43 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 2.0000e-04 eta: 0:16:32 time: 0.8449 data_time: 0.0183 memory: 19925 grad_norm: 4.4009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/11 14:58:02 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 2.0000e-04 eta: 0:16:15 time: 0.9412 data_time: 0.0164 memory: 19925 grad_norm: 4.3862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6715 loss: 0.6715 2022/08/11 14:58:19 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 2.0000e-04 eta: 0:15:58 time: 0.8354 data_time: 0.0179 memory: 19925 grad_norm: 4.3036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/11 14:58:36 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 2.0000e-04 eta: 0:15:41 time: 0.8390 data_time: 0.0167 memory: 19925 grad_norm: 4.5010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7947 loss: 0.7947 2022/08/11 14:58:52 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 2.0000e-04 eta: 0:15:24 time: 0.8403 data_time: 0.0169 memory: 19925 grad_norm: 4.3393 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/08/11 14:59:09 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 2.0000e-04 eta: 0:15:07 time: 0.8420 data_time: 0.0178 memory: 19925 grad_norm: 4.3631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7078 loss: 0.7078 2022/08/11 14:59:26 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 2.0000e-04 eta: 0:14:49 time: 0.8364 data_time: 0.0183 memory: 19925 grad_norm: 4.3787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7700 loss: 0.7700 2022/08/11 14:59:43 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 2.0000e-04 eta: 0:14:32 time: 0.8331 data_time: 0.0184 memory: 19925 grad_norm: 4.3538 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7059 loss: 0.7059 2022/08/11 15:00:00 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 2.0000e-04 eta: 0:14:15 time: 0.8371 data_time: 0.0196 memory: 19925 grad_norm: 4.4274 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/08/11 15:00:16 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 2.0000e-04 eta: 0:13:58 time: 0.8402 data_time: 0.0185 memory: 19925 grad_norm: 4.3087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/08/11 15:00:33 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 2.0000e-04 eta: 0:13:41 time: 0.8442 data_time: 0.0179 memory: 19925 grad_norm: 4.5017 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/08/11 15:00:41 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 15:00:50 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 2.0000e-04 eta: 0:13:24 time: 0.8330 data_time: 0.0206 memory: 19925 grad_norm: 4.5104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8352 loss: 0.8352 2022/08/11 15:01:07 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 2.0000e-04 eta: 0:13:07 time: 0.8354 data_time: 0.0188 memory: 19925 grad_norm: 4.3897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/11 15:01:23 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 2.0000e-04 eta: 0:12:49 time: 0.8327 data_time: 0.0191 memory: 19925 grad_norm: 4.2862 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8031 loss: 0.8031 2022/08/11 15:01:40 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 2.0000e-04 eta: 0:12:32 time: 0.8335 data_time: 0.0182 memory: 19925 grad_norm: 4.5668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9036 loss: 0.9036 2022/08/11 15:01:57 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 2.0000e-04 eta: 0:12:15 time: 0.8306 data_time: 0.0189 memory: 19925 grad_norm: 4.2843 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8205 loss: 0.8205 2022/08/11 15:02:13 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 2.0000e-04 eta: 0:11:58 time: 0.8293 data_time: 0.0191 memory: 19925 grad_norm: 4.3481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7817 loss: 0.7817 2022/08/11 15:02:30 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 2.0000e-04 eta: 0:11:41 time: 0.8424 data_time: 0.0188 memory: 19925 grad_norm: 4.4381 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8457 loss: 0.8457 2022/08/11 15:02:47 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 2.0000e-04 eta: 0:11:24 time: 0.8327 data_time: 0.0185 memory: 19925 grad_norm: 4.6233 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9254 loss: 0.9254 2022/08/11 15:03:03 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 2.0000e-04 eta: 0:11:07 time: 0.8291 data_time: 0.0182 memory: 19925 grad_norm: 4.5413 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8500 loss: 0.8500 2022/08/11 15:03:20 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 2.0000e-04 eta: 0:10:50 time: 0.8344 data_time: 0.0194 memory: 19925 grad_norm: 4.5109 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/11 15:03:37 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 2.0000e-04 eta: 0:10:32 time: 0.8297 data_time: 0.0185 memory: 19925 grad_norm: 4.4816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9150 loss: 0.9150 2022/08/11 15:03:53 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 2.0000e-04 eta: 0:10:15 time: 0.8338 data_time: 0.0184 memory: 19925 grad_norm: 4.3957 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/11 15:04:10 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 2.0000e-04 eta: 0:09:58 time: 0.8386 data_time: 0.0245 memory: 19925 grad_norm: 4.4890 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8960 loss: 0.8960 2022/08/11 15:04:27 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 2.0000e-04 eta: 0:09:41 time: 0.8322 data_time: 0.0189 memory: 19925 grad_norm: 4.4027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7177 loss: 0.7177 2022/08/11 15:04:43 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 2.0000e-04 eta: 0:09:24 time: 0.8371 data_time: 0.0177 memory: 19925 grad_norm: 4.3937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7360 loss: 0.7360 2022/08/11 15:05:00 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 2.0000e-04 eta: 0:09:07 time: 0.8334 data_time: 0.0187 memory: 19925 grad_norm: 4.4543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/08/11 15:05:17 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 2.0000e-04 eta: 0:08:50 time: 0.8323 data_time: 0.0185 memory: 19925 grad_norm: 4.4417 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/08/11 15:05:33 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 2.0000e-04 eta: 0:08:32 time: 0.8318 data_time: 0.0192 memory: 19925 grad_norm: 4.4162 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8150 loss: 0.8150 2022/08/11 15:05:50 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 2.0000e-04 eta: 0:08:15 time: 0.8367 data_time: 0.0184 memory: 19925 grad_norm: 4.4464 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7462 loss: 0.7462 2022/08/11 15:06:07 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 2.0000e-04 eta: 0:07:58 time: 0.8353 data_time: 0.0196 memory: 19925 grad_norm: 4.4532 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7021 loss: 0.7021 2022/08/11 15:06:24 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 2.0000e-04 eta: 0:07:41 time: 0.8336 data_time: 0.0184 memory: 19925 grad_norm: 4.2808 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8054 loss: 0.8054 2022/08/11 15:06:40 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 2.0000e-04 eta: 0:07:24 time: 0.8392 data_time: 0.0192 memory: 19925 grad_norm: 4.5116 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8855 loss: 0.8855 2022/08/11 15:06:57 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 2.0000e-04 eta: 0:07:07 time: 0.8317 data_time: 0.0184 memory: 19925 grad_norm: 4.4241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7339 loss: 0.7339 2022/08/11 15:07:14 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 2.0000e-04 eta: 0:06:50 time: 0.8316 data_time: 0.0186 memory: 19925 grad_norm: 4.4128 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9275 loss: 0.9275 2022/08/11 15:07:30 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 2.0000e-04 eta: 0:06:33 time: 0.8379 data_time: 0.0198 memory: 19925 grad_norm: 4.3971 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7491 loss: 0.7491 2022/08/11 15:07:47 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 2.0000e-04 eta: 0:06:15 time: 0.8440 data_time: 0.0189 memory: 19925 grad_norm: 4.5280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8152 loss: 0.8152 2022/08/11 15:08:07 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 2.0000e-04 eta: 0:05:58 time: 0.9836 data_time: 0.0168 memory: 19925 grad_norm: 4.4255 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9269 loss: 0.9269 2022/08/11 15:08:24 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 2.0000e-04 eta: 0:05:41 time: 0.8418 data_time: 0.0246 memory: 19925 grad_norm: 4.6101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7650 loss: 0.7650 2022/08/11 15:08:41 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 2.0000e-04 eta: 0:05:24 time: 0.8476 data_time: 0.0250 memory: 19925 grad_norm: 4.4234 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7957 loss: 0.7957 2022/08/11 15:08:58 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 2.0000e-04 eta: 0:05:07 time: 0.8393 data_time: 0.0248 memory: 19925 grad_norm: 4.4811 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8473 loss: 0.8473 2022/08/11 15:09:20 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 2.0000e-04 eta: 0:04:50 time: 1.0998 data_time: 0.0306 memory: 19925 grad_norm: 4.4652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9227 loss: 0.9227 2022/08/11 15:09:36 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 2.0000e-04 eta: 0:04:33 time: 0.8363 data_time: 0.0180 memory: 19925 grad_norm: 4.4957 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/11 15:09:53 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 2.0000e-04 eta: 0:04:16 time: 0.8339 data_time: 0.0181 memory: 19925 grad_norm: 4.3585 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0403 loss: 1.0403 2022/08/11 15:10:10 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 2.0000e-04 eta: 0:03:58 time: 0.8414 data_time: 0.0175 memory: 19925 grad_norm: 4.4229 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8529 loss: 0.8529 2022/08/11 15:10:28 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 2.0000e-04 eta: 0:03:41 time: 0.8945 data_time: 0.0228 memory: 19925 grad_norm: 4.5178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7515 loss: 0.7515 2022/08/11 15:10:45 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 2.0000e-04 eta: 0:03:24 time: 0.8375 data_time: 0.0178 memory: 19925 grad_norm: 4.3392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9020 loss: 0.9020 2022/08/11 15:11:01 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 2.0000e-04 eta: 0:03:07 time: 0.8345 data_time: 0.0200 memory: 19925 grad_norm: 4.4126 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/11 15:11:18 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 2.0000e-04 eta: 0:02:50 time: 0.8352 data_time: 0.0189 memory: 19925 grad_norm: 4.3994 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6788 loss: 0.6788 2022/08/11 15:11:35 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 2.0000e-04 eta: 0:02:33 time: 0.8335 data_time: 0.0188 memory: 19925 grad_norm: 4.4886 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7933 loss: 0.7933 2022/08/11 15:11:51 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 2.0000e-04 eta: 0:02:16 time: 0.8315 data_time: 0.0186 memory: 19925 grad_norm: 4.5634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7379 loss: 0.7379 2022/08/11 15:12:08 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 2.0000e-04 eta: 0:01:59 time: 0.8319 data_time: 0.0170 memory: 19925 grad_norm: 4.4421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7473 loss: 0.7473 2022/08/11 15:12:25 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 2.0000e-04 eta: 0:01:41 time: 0.8383 data_time: 0.0187 memory: 19925 grad_norm: 4.5331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9474 loss: 0.9474 2022/08/11 15:12:41 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 2.0000e-04 eta: 0:01:24 time: 0.8348 data_time: 0.0174 memory: 19925 grad_norm: 4.4275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7051 loss: 0.7051 2022/08/11 15:12:58 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 2.0000e-04 eta: 0:01:07 time: 0.8345 data_time: 0.0172 memory: 19925 grad_norm: 4.5012 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/11 15:13:15 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 2.0000e-04 eta: 0:00:50 time: 0.8330 data_time: 0.0183 memory: 19925 grad_norm: 4.3539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7546 loss: 0.7546 2022/08/11 15:13:31 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 2.0000e-04 eta: 0:00:33 time: 0.8342 data_time: 0.0199 memory: 19925 grad_norm: 4.4344 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7923 loss: 0.7923 2022/08/11 15:13:48 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 2.0000e-04 eta: 0:00:16 time: 0.8322 data_time: 0.0185 memory: 19925 grad_norm: 4.6210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8157 loss: 0.8157 2022/08/11 15:14:04 - mmengine - INFO - Exp name: tsm_nl_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220810_145241 2022/08/11 15:14:04 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 2.0000e-04 eta: 0:00:16 time: 0.8189 data_time: 0.0292 memory: 19925 grad_norm: 4.6396 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/08/11 15:14:04 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/11 15:14:19 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:01:27 time: 0.6490 data_time: 0.4153 memory: 2570 2022/08/11 15:14:28 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:00:52 time: 0.4556 data_time: 0.2226 memory: 2570 2022/08/11 15:14:38 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:48 time: 0.5080 data_time: 0.2763 memory: 2570 2022/08/11 15:14:46 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:30 time: 0.4039 data_time: 0.1732 memory: 2570 2022/08/11 15:14:54 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:23 time: 0.4272 data_time: 0.1971 memory: 2570 2022/08/11 15:15:03 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:14 time: 0.4060 data_time: 0.1763 memory: 2570 2022/08/11 15:15:17 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:10 time: 0.7248 data_time: 0.4941 memory: 2570 2022/08/11 15:15:59 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.7184 acc/top5: 0.9055 acc/mean1: 0.7183