2023/09/30 14:27:01 - mmengine - INFO - Iter(train) [ 100/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 8 days, 19:03:09 time: 1.5832 data_time: 0.0152 memory: 26686 grad_norm: 323.8951 loss: 48.6013 grounding_loss_reg: 47.2075 detection_loss_cls: 19.8771 detection_loss_reg: 9.4129 caption_loss_cls: 78.2800 instance_segmentation_loss_cls: 21.2968 instance_segmentation_loss_reg: 5.9597 instance_segmentation_loss_poly: 25.1693 semantic_segmentation_loss_cls: 4.1550 2023/09/30 14:29:41 - mmengine - INFO - Iter(train) [ 200/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 8 days, 19:37:25 time: 1.5878 data_time: 0.0129 memory: 26684 grad_norm: 226.2648 loss: 33.9829 grounding_loss_reg: 45.0317 detection_loss_cls: 11.9307 detection_loss_reg: 6.1919 caption_loss_cls: 62.5936 instance_segmentation_loss_cls: 13.8626 instance_segmentation_loss_reg: 4.0716 instance_segmentation_loss_poly: 17.3377 semantic_segmentation_loss_cls: 3.0185 2023/09/30 14:32:32 - mmengine - INFO - Iter(train) [ 300/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 9 days, 1:14:37 time: 1.6303 data_time: 0.0127 memory: 26684 grad_norm: 182.4913 loss: 27.9184 grounding_loss_reg: 40.5498 detection_loss_cls: 10.1158 detection_loss_reg: 5.3631 caption_loss_cls: 51.3484 instance_segmentation_loss_cls: 9.0157 instance_segmentation_loss_reg: 3.0458 instance_segmentation_loss_poly: 13.2277 semantic_segmentation_loss_cls: 2.3825 2023/09/30 14:35:35 - mmengine - INFO - Iter(train) [ 400/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 9 days, 7:43:14 time: 1.6793 data_time: 0.0127 memory: 26684 grad_norm: 155.8154 loss: 24.1593 grounding_loss_reg: 39.2325 detection_loss_cls: 8.8250 detection_loss_reg: 4.8835 caption_loss_cls: 44.2892 instance_segmentation_loss_cls: 6.6778 instance_segmentation_loss_reg: 2.5614 instance_segmentation_loss_poly: 11.1053 semantic_segmentation_loss_cls: 1.9736 2023/09/30 14:38:43 - mmengine - INFO - Iter(train) [ 500/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 9 days, 13:08:24 time: 1.7203 data_time: 0.0131 memory: 26684 grad_norm: 287.2665 loss: 68.9991 grounding_loss_reg: 36.7255 detection_loss_cls: 7.2484 detection_loss_reg: 4.2965 caption_loss_cls: 215.8071 instance_segmentation_loss_cls: 5.7553 instance_segmentation_loss_reg: 2.4529 instance_segmentation_loss_poly: 10.8841 semantic_segmentation_loss_cls: 1.8935 2023/09/30 14:38:43 - mmengine - INFO - Saving checkpoint at 500 iterations 2023/09/30 14:42:30 - mmengine - INFO - Iter(train) [ 600/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 1:14:04 time: 1.8115 data_time: 0.1136 memory: 26684 grad_norm: 248.1729 loss: 59.0843 grounding_loss_reg: 35.2575 detection_loss_cls: 6.5005 detection_loss_reg: 3.8961 caption_loss_cls: 173.2380 instance_segmentation_loss_cls: 5.1372 instance_segmentation_loss_reg: 2.2417 instance_segmentation_loss_poly: 9.9968 semantic_segmentation_loss_cls: 1.6688 2023/09/30 14:45:39 - mmengine - INFO - Iter(train) [ 700/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 2:36:57 time: 1.8223 data_time: 0.0988 memory: 26684 grad_norm: 219.1945 loss: 51.6441 grounding_loss_reg: 32.9390 detection_loss_cls: 5.6799 detection_loss_reg: 3.7263 caption_loss_cls: 152.2370 instance_segmentation_loss_cls: 4.7221 instance_segmentation_loss_reg: 2.1001 instance_segmentation_loss_poly: 9.3905 semantic_segmentation_loss_cls: 1.5018 2023/09/30 14:48:52 - mmengine - INFO - Iter(train) [ 800/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 4:20:43 time: 1.8356 data_time: 0.0879 memory: 26684 grad_norm: 195.4492 loss: 45.8993 grounding_loss_reg: 31.9888 detection_loss_cls: 5.1210 detection_loss_reg: 3.4877 caption_loss_cls: 133.2906 instance_segmentation_loss_cls: 4.1377 instance_segmentation_loss_reg: 1.8754 instance_segmentation_loss_poly: 8.4469 semantic_segmentation_loss_cls: 1.3553 2023/09/30 14:52:08 - mmengine - INFO - Iter(train) [ 900/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 6:07:15 time: 1.8494 data_time: 0.0793 memory: 26684 grad_norm: 176.7713 loss: 41.3403 grounding_loss_reg: 29.1387 detection_loss_cls: 4.6902 detection_loss_reg: 3.2768 caption_loss_cls: 121.0542 instance_segmentation_loss_cls: 3.6856 instance_segmentation_loss_reg: 1.7266 instance_segmentation_loss_poly: 7.8102 semantic_segmentation_loss_cls: 1.2270 2023/09/30 14:55:08 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_135846 2023/09/30 14:55:08 - mmengine - INFO - Iter(train) [ 1000/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 5:30:57 time: 1.8452 data_time: 0.0725 memory: 26684 grad_norm: 160.9509 loss: 37.7433 grounding_loss_reg: 27.1366 detection_loss_cls: 4.2976 detection_loss_reg: 3.1715 caption_loss_cls: 107.7539 instance_segmentation_loss_cls: 3.3841 instance_segmentation_loss_reg: 1.6599 instance_segmentation_loss_poly: 7.4441 semantic_segmentation_loss_cls: 1.1510 2023/09/30 14:55:08 - mmengine - INFO - Saving checkpoint at 1000 iterations 2023/09/30 14:59:33 - mmengine - INFO - Iter(train) [ 1100/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 15:05:35 time: 1.9176 data_time: 0.1238 memory: 26684 grad_norm: 147.7896 loss: 34.7146 grounding_loss_reg: 25.5900 detection_loss_cls: 3.9095 detection_loss_reg: 2.9709 caption_loss_cls: 98.9526 instance_segmentation_loss_cls: 3.0633 instance_segmentation_loss_reg: 1.5559 instance_segmentation_loss_poly: 6.9759 semantic_segmentation_loss_cls: 1.0959 2023/09/30 15:02:43 - mmengine - INFO - Iter(train) [ 1200/480000] base_lr: 2.0000e-04 lr: 5.3333e-05 eta: 10 days, 14:50:48 time: 1.9161 data_time: 0.1144 memory: 25845 grad_norm: 136.5822 loss: 32.1499 grounding_loss_reg: 24.4385 detection_loss_cls: 3.6516 detection_loss_reg: 2.8033 caption_loss_cls: 90.5273 instance_segmentation_loss_cls: 2.8615 instance_segmentation_loss_reg: 1.4885 instance_segmentation_loss_poly: 6.6829 semantic_segmentation_loss_cls: 1.0051 2023/09/30 15:06:16 - mmengine - INFO - Iter(train) [ 1300/480000] base_lr: 2.0000e-04 lr: 5.3332e-05 eta: 10 days, 17:04:44 time: 1.9333 data_time: 0.1065 memory: 26684 grad_norm: 126.8118 loss: 29.9265 grounding_loss_reg: 23.4850 detection_loss_cls: 3.3819 detection_loss_reg: 2.6779 caption_loss_cls: 85.3497 instance_segmentation_loss_cls: 2.6552 instance_segmentation_loss_reg: 1.3970 instance_segmentation_loss_poly: 6.2861 semantic_segmentation_loss_cls: 0.9268 2023/09/30 15:09:45 - mmengine - INFO - Iter(train) [ 1400/480000] base_lr: 2.0000e-04 lr: 5.3332e-05 eta: 10 days, 18:28:52 time: 1.9443 data_time: 0.0997 memory: 26684 grad_norm: 118.6368 loss: 28.0199 grounding_loss_reg: 21.9754 detection_loss_cls: 3.1646 detection_loss_reg: 2.5638 caption_loss_cls: 79.9241 instance_segmentation_loss_cls: 2.5076 instance_segmentation_loss_reg: 1.3311 instance_segmentation_loss_poly: 5.9820 semantic_segmentation_loss_cls: 0.8755 2023/09/30 15:13:21 - mmengine - INFO - Iter(train) [ 1500/480000] base_lr: 2.0000e-04 lr: 5.3332e-05 eta: 10 days, 20:18:38 time: 1.9585 data_time: 0.0938 memory: 26684 grad_norm: 112.2028 loss: 26.3821 grounding_loss_reg: 20.7657 detection_loss_cls: 2.9570 detection_loss_reg: 2.4407 caption_loss_cls: 75.4342 instance_segmentation_loss_cls: 2.3751 instance_segmentation_loss_reg: 1.2794 instance_segmentation_loss_poly: 5.7562 semantic_segmentation_loss_cls: 0.8355 2023/09/30 15:13:21 - mmengine - INFO - Saving checkpoint at 1500 iterations 2023/09/30 15:17:52 - mmengine - INFO - Iter(train) [ 1600/480000] base_lr: 1.9999e-04 lr: 5.3332e-05 eta: 11 days, 2:28:15 time: 2.0052 data_time: 0.1263 memory: 26684 grad_norm: 105.6641 loss: 24.9178 grounding_loss_reg: 20.4493 detection_loss_cls: 2.7878 detection_loss_reg: 2.3461 caption_loss_cls: 70.6835 instance_segmentation_loss_cls: 2.2725 instance_segmentation_loss_reg: 1.2545 instance_segmentation_loss_poly: 5.5966 semantic_segmentation_loss_cls: 0.7776 2023/09/30 15:21:29 - mmengine - INFO - Iter(train) [ 1700/480000] base_lr: 1.9999e-04 lr: 5.3332e-05 eta: 11 days, 3:46:22 time: 2.0154 data_time: 0.1195 memory: 26684 grad_norm: 120.2665 loss: 23.6752 grounding_loss_reg: 19.8904 detection_loss_cls: 2.6503 detection_loss_reg: 2.2694 caption_loss_cls: 66.7106 instance_segmentation_loss_cls: 2.1450 instance_segmentation_loss_reg: 1.1966 instance_segmentation_loss_poly: 5.3422 semantic_segmentation_loss_cls: 0.7539 2023/09/30 15:25:06 - mmengine - INFO - Iter(train) [ 1800/480000] base_lr: 1.9999e-04 lr: 5.3332e-05 eta: 11 days, 4:49:55 time: 2.0238 data_time: 0.1135 memory: 26684 grad_norm: 114.0366 loss: 22.5016 grounding_loss_reg: 19.2934 detection_loss_cls: 2.5196 detection_loss_reg: 2.1735 caption_loss_cls: 63.3645 instance_segmentation_loss_cls: 2.0439 instance_segmentation_loss_reg: 1.1553 instance_segmentation_loss_poly: 5.1499 semantic_segmentation_loss_cls: 0.7090 2023/09/30 15:29:04 - mmengine - INFO - Iter(train) [ 1900/480000] base_lr: 1.9999e-04 lr: 5.3331e-05 eta: 11 days, 7:13:57 time: 2.0423 data_time: 0.1082 memory: 26684 grad_norm: 108.3452 loss: 21.4365 grounding_loss_reg: 18.7349 detection_loss_cls: 2.3716 detection_loss_reg: 2.0775 caption_loss_cls: 60.7510 instance_segmentation_loss_cls: 1.9504 instance_segmentation_loss_reg: 1.1160 instance_segmentation_loss_poly: 4.9676 semantic_segmentation_loss_cls: 0.6777 2023/09/30 15:32:52 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_135846 2023/09/30 15:32:52 - mmengine - INFO - Iter(train) [ 2000/480000] base_lr: 1.9999e-04 lr: 5.3331e-05 eta: 11 days, 8:48:21 time: 2.0546 data_time: 0.1034 memory: 26684 grad_norm: 103.2731 loss: 20.4878 grounding_loss_reg: 18.4364 detection_loss_cls: 2.2931 detection_loss_reg: 2.0299 caption_loss_cls: 57.3924 instance_segmentation_loss_cls: 1.8600 instance_segmentation_loss_reg: 1.0803 instance_segmentation_loss_poly: 4.8014 semantic_segmentation_loss_cls: 0.6405 2023/09/30 15:32:52 - mmengine - INFO - Saving checkpoint at 2000 iterations 2023/09/30 15:37:35 - mmengine - INFO - Iter(train) [ 2100/480000] base_lr: 1.9999e-04 lr: 5.3331e-05 eta: 11 days, 13:39:11 time: 2.0915 data_time: 0.1277 memory: 26684 grad_norm: 99.1150 loss: 19.6388 grounding_loss_reg: 18.3405 detection_loss_cls: 2.1864 detection_loss_reg: 1.9800 caption_loss_cls: 54.4416 instance_segmentation_loss_cls: 1.8131 instance_segmentation_loss_reg: 1.0639 instance_segmentation_loss_poly: 4.7193 semantic_segmentation_loss_cls: 0.6106 2023/09/30 15:41:36 - mmengine - INFO - Iter(train) [ 2200/480000] base_lr: 1.9999e-04 lr: 5.3331e-05 eta: 11 days, 15:29:50 time: 2.1059 data_time: 0.1225 memory: 26684 grad_norm: 97.3566 loss: 18.9221 grounding_loss_reg: 17.6423 detection_loss_cls: 2.1189 detection_loss_reg: 1.9476 caption_loss_cls: 52.6659 instance_segmentation_loss_cls: 1.7289 instance_segmentation_loss_reg: 1.0293 instance_segmentation_loss_poly: 4.5527 semantic_segmentation_loss_cls: 0.5811 2023/09/30 15:45:35 - mmengine - INFO - Iter(train) [ 2300/480000] base_lr: 1.9999e-04 lr: 5.3330e-05 eta: 11 days, 17:04:41 time: 2.1182 data_time: 0.1176 memory: 25845 grad_norm: 94.1435 loss: 18.2033 grounding_loss_reg: 17.0607 detection_loss_cls: 2.0549 detection_loss_reg: 1.9040 caption_loss_cls: 50.6379 instance_segmentation_loss_cls: 1.6604 instance_segmentation_loss_reg: 0.9945 instance_segmentation_loss_poly: 4.4000 semantic_segmentation_loss_cls: 0.5538 2023/09/30 15:49:23 - mmengine - INFO - Iter(train) [ 2400/480000] base_lr: 1.9999e-04 lr: 5.3330e-05 eta: 11 days, 17:53:40 time: 2.1248 data_time: 0.1132 memory: 25845 grad_norm: 100.0686 loss: 17.5738 grounding_loss_reg: 16.6181 detection_loss_cls: 1.9951 detection_loss_reg: 1.8689 caption_loss_cls: 48.0969 instance_segmentation_loss_cls: 1.6009 instance_segmentation_loss_reg: 0.9668 instance_segmentation_loss_poly: 4.2768 semantic_segmentation_loss_cls: 0.5402 2023/09/30 15:53:45 - mmengine - INFO - Iter(train) [ 2500/480000] base_lr: 1.9999e-04 lr: 5.3330e-05 eta: 11 days, 20:26:49 time: 2.1445 data_time: 0.1090 memory: 25845 grad_norm: 96.3233 loss: 16.9624 grounding_loss_reg: 16.6181 detection_loss_cls: 1.9130 detection_loss_reg: 1.8333 caption_loss_cls: 46.0659 instance_segmentation_loss_cls: 1.5547 instance_segmentation_loss_reg: 0.9418 instance_segmentation_loss_poly: 4.1691 semantic_segmentation_loss_cls: 0.5255 2023/09/30 15:53:45 - mmengine - INFO - Saving checkpoint at 2500 iterations 2023/09/30 15:58:33 - mmengine - INFO - Iter(train) [ 2600/480000] base_lr: 1.9999e-04 lr: 5.3330e-05 eta: 12 days, 0:10:03 time: 2.1730 data_time: 0.1292 memory: 26684 grad_norm: 102.5617 loss: 16.4822 grounding_loss_reg: 16.9192 detection_loss_cls: 1.8569 detection_loss_reg: 1.7945 caption_loss_cls: 44.0718 instance_segmentation_loss_cls: 1.5079 instance_segmentation_loss_reg: 0.9359 instance_segmentation_loss_poly: 4.1313 semantic_segmentation_loss_cls: 0.5132 2023/09/30 16:03:08 - mmengine - INFO - Iter(train) [ 2700/480000] base_lr: 1.9998e-04 lr: 5.3329e-05 eta: 12 days, 2:57:30 time: 2.1945 data_time: 0.1248 memory: 26684 grad_norm: 100.0307 loss: 15.9648 grounding_loss_reg: 16.5638 detection_loss_cls: 1.7904 detection_loss_reg: 1.7650 caption_loss_cls: 42.8369 instance_segmentation_loss_cls: 1.4559 instance_segmentation_loss_reg: 0.9133 instance_segmentation_loss_poly: 4.0237 semantic_segmentation_loss_cls: 0.5011 2023/09/30 16:07:12 - mmengine - INFO - Iter(train) [ 2800/480000] base_lr: 1.9998e-04 lr: 5.3329e-05 eta: 12 days, 4:00:57 time: 2.2030 data_time: 0.1208 memory: 26684 grad_norm: 96.7615 loss: 15.4954 grounding_loss_reg: 15.9926 detection_loss_cls: 1.7362 detection_loss_reg: 1.7213 caption_loss_cls: 41.3279 instance_segmentation_loss_cls: 1.4164 instance_segmentation_loss_reg: 0.8969 instance_segmentation_loss_poly: 3.9462 semantic_segmentation_loss_cls: 0.4886 2023/09/30 16:11:10 - mmengine - INFO - Iter(train) [ 2900/480000] base_lr: 1.9998e-04 lr: 5.3329e-05 eta: 12 days, 4:46:06 time: 2.2091 data_time: 0.1170 memory: 26684 grad_norm: 99.7151 loss: 15.0450 grounding_loss_reg: 15.6822 detection_loss_cls: 1.6877 detection_loss_reg: 1.6878 caption_loss_cls: 40.2733 instance_segmentation_loss_cls: 1.3852 instance_segmentation_loss_reg: 0.8883 instance_segmentation_loss_poly: 3.8952 semantic_segmentation_loss_cls: 0.4663 2023/09/30 16:15:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_135846 2023/09/30 16:15:15 - mmengine - INFO - Iter(train) [ 3000/480000] base_lr: 1.9998e-04 lr: 5.3328e-05 eta: 12 days, 5:48:12 time: 2.2174 data_time: 0.1135 memory: 26684 grad_norm: 132.8776 loss: 14.6655 grounding_loss_reg: 15.4027 detection_loss_cls: 1.6502 detection_loss_reg: 1.6592 caption_loss_cls: 39.1388 instance_segmentation_loss_cls: 1.3404 instance_segmentation_loss_reg: 0.8729 instance_segmentation_loss_poly: 3.8080 semantic_segmentation_loss_cls: 0.4552 2023/09/30 16:15:15 - mmengine - INFO - Saving checkpoint at 3000 iterations 2023/09/30 16:20:29 - mmengine - INFO - Iter(train) [ 3100/480000] base_lr: 1.9998e-04 lr: 5.3328e-05 eta: 12 days, 9:40:15 time: 2.2470 data_time: 0.1304 memory: 26684 grad_norm: 128.8263 loss: 14.2703 grounding_loss_reg: 15.0637 detection_loss_cls: 1.6116 detection_loss_reg: 1.6321 caption_loss_cls: 38.0285 instance_segmentation_loss_cls: 1.2922 instance_segmentation_loss_reg: 0.8509 instance_segmentation_loss_poly: 3.7034 semantic_segmentation_loss_cls: 0.4451 2023/09/30 16:24:30 - mmengine - INFO - Iter(train) [ 3200/480000] base_lr: 1.9998e-04 lr: 5.3328e-05 eta: 12 days, 10:17:12 time: 2.2522 data_time: 0.1267 memory: 26684 grad_norm: 124.9859 loss: 13.9056 grounding_loss_reg: 14.7956 detection_loss_cls: 1.5690 detection_loss_reg: 1.6021 caption_loss_cls: 36.8475 instance_segmentation_loss_cls: 1.2653 instance_segmentation_loss_reg: 0.8440 instance_segmentation_loss_poly: 3.6553 semantic_segmentation_loss_cls: 0.4355 2023/09/30 16:28:52 - mmengine - INFO - Iter(train) [ 3300/480000] base_lr: 1.9998e-04 lr: 5.3327e-05 eta: 12 days, 11:41:29 time: 2.2632 data_time: 0.1232 memory: 26684 grad_norm: 121.5036 loss: 13.5468 grounding_loss_reg: 14.6507 detection_loss_cls: 1.5288 detection_loss_reg: 1.5756 caption_loss_cls: 35.8680 instance_segmentation_loss_cls: 1.2237 instance_segmentation_loss_reg: 0.8228 instance_segmentation_loss_poly: 3.5576 semantic_segmentation_loss_cls: 0.4284 2023/09/30 16:32:51 - mmengine - INFO - Iter(train) [ 3400/480000] base_lr: 1.9998e-04 lr: 5.3327e-05 eta: 12 days, 12:07:33 time: 2.2670 data_time: 0.1199 memory: 26684 grad_norm: 118.7034 loss: 13.2286 grounding_loss_reg: 14.3778 detection_loss_cls: 1.4948 detection_loss_reg: 1.5541 caption_loss_cls: 34.8763 instance_segmentation_loss_cls: 1.1972 instance_segmentation_loss_reg: 0.8166 instance_segmentation_loss_poly: 3.5273 semantic_segmentation_loss_cls: 0.4221 2023/09/30 16:37:18 - mmengine - INFO - Iter(train) [ 3500/480000] base_lr: 1.9997e-04 lr: 5.3327e-05 eta: 12 days, 13:35:01 time: 2.2785 data_time: 0.1169 memory: 26684 grad_norm: 115.7144 loss: 12.9229 grounding_loss_reg: 14.1276 detection_loss_cls: 1.4654 detection_loss_reg: 1.5396 caption_loss_cls: 34.1723 instance_segmentation_loss_cls: 1.1682 instance_segmentation_loss_reg: 0.8098 instance_segmentation_loss_poly: 3.4845 semantic_segmentation_loss_cls: 0.4088 2023/09/30 16:37:18 - mmengine - INFO - Saving checkpoint at 3500 iterations 2023/09/30 16:42:18 - mmengine - INFO - Iter(train) [ 3600/480000] base_lr: 1.9997e-04 lr: 5.3326e-05 eta: 12 days, 16:09:50 time: 2.2985 data_time: 0.1306 memory: 26684 grad_norm: 125.7859 loss: 12.6996 grounding_loss_reg: 13.9150 detection_loss_cls: 1.4370 detection_loss_reg: 1.5260 caption_loss_cls: 33.2772 instance_segmentation_loss_cls: 1.1456 instance_segmentation_loss_reg: 0.7985 instance_segmentation_loss_poly: 3.4335 semantic_segmentation_loss_cls: 0.4026 2023/09/30 16:46:49 - mmengine - INFO - Iter(train) [ 3700/480000] base_lr: 1.9997e-04 lr: 5.3326e-05 eta: 12 days, 17:34:26 time: 2.3096 data_time: 0.1274 memory: 26684 grad_norm: 122.5048 loss: 12.4191 grounding_loss_reg: 13.8765 detection_loss_cls: 1.4049 detection_loss_reg: 1.5094 caption_loss_cls: 32.6215 instance_segmentation_loss_cls: 1.1143 instance_segmentation_loss_reg: 0.7835 instance_segmentation_loss_poly: 3.3663 semantic_segmentation_loss_cls: 0.3913 2023/09/30 16:51:11 - mmengine - INFO - Iter(train) [ 3800/480000] base_lr: 1.9997e-04 lr: 5.3325e-05 eta: 12 days, 18:35:51 time: 2.3178 data_time: 0.1244 memory: 26684 grad_norm: 119.3885 loss: 12.1544 grounding_loss_reg: 13.8099 detection_loss_cls: 1.3696 detection_loss_reg: 1.4828 caption_loss_cls: 31.7971 instance_segmentation_loss_cls: 1.0878 instance_segmentation_loss_reg: 0.7740 instance_segmentation_loss_poly: 3.3155 semantic_segmentation_loss_cls: 0.3857 2023/09/30 16:55:24 - mmengine - INFO - Iter(train) [ 3900/480000] base_lr: 1.9997e-04 lr: 5.3325e-05 eta: 12 days, 19:15:19 time: 2.3233 data_time: 0.1215 memory: 26684 grad_norm: 116.4373 loss: 11.9148 grounding_loss_reg: 13.5992 detection_loss_cls: 1.3402 detection_loss_reg: 1.4762 caption_loss_cls: 31.0782 instance_segmentation_loss_cls: 1.0701 instance_segmentation_loss_reg: 0.7679 instance_segmentation_loss_poly: 3.2847 semantic_segmentation_loss_cls: 0.3778 2023/09/30 16:59:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_135846 2023/09/30 16:59:35 - mmengine - INFO - Iter(train) [ 4000/480000] base_lr: 1.9997e-04 lr: 5.3325e-05 eta: 12 days, 19:48:14 time: 2.3279 data_time: 0.1187 memory: 26684 grad_norm: 113.6250 loss: 11.6756 grounding_loss_reg: 13.4793 detection_loss_cls: 1.3069 detection_loss_reg: 1.4521 caption_loss_cls: 30.3608 instance_segmentation_loss_cls: 1.0513 instance_segmentation_loss_reg: 0.7595 instance_segmentation_loss_poly: 3.2471 semantic_segmentation_loss_cls: 0.3716 2023/09/30 16:59:35 - mmengine - INFO - Saving checkpoint at 4000 iterations 2023/09/30 17:04:40 - mmengine - INFO - Iter(train) [ 4100/480000] base_lr: 1.9996e-04 lr: 5.3324e-05 eta: 12 days, 22:03:40 time: 2.3646 data_time: 0.1343 memory: 26684 grad_norm: 105.6079 loss: 10.5183 grounding_loss_reg: 13.2817 detection_loss_cls: 1.2841 detection_loss_reg: 1.4369 caption_loss_cls: 29.6482 instance_segmentation_loss_cls: 1.0279 instance_segmentation_loss_reg: 0.7487 instance_segmentation_loss_poly: 3.1976 semantic_segmentation_loss_cls: 0.3642 2023/09/30 17:09:08 - mmengine - INFO - Iter(train) [ 4200/480000] base_lr: 1.9996e-04 lr: 5.3324e-05 eta: 12 days, 23:03:56 time: 2.3919 data_time: 0.1344 memory: 26684 grad_norm: 102.4770 loss: 10.0969 grounding_loss_reg: 13.1251 detection_loss_cls: 1.2612 detection_loss_reg: 1.4299 caption_loss_cls: 29.0609 instance_segmentation_loss_cls: 1.0036 instance_segmentation_loss_reg: 0.7383 instance_segmentation_loss_poly: 3.1479 semantic_segmentation_loss_cls: 0.3588 2023/09/30 17:12:57 - mmengine - INFO - Iter(train) [ 4300/480000] base_lr: 1.9996e-04 lr: 5.3323e-05 eta: 12 days, 22:46:56 time: 2.4061 data_time: 0.1343 memory: 25845 grad_norm: 100.1717 loss: 9.7593 grounding_loss_reg: 13.0042 detection_loss_cls: 1.2379 detection_loss_reg: 1.4159 caption_loss_cls: 28.3500 instance_segmentation_loss_cls: 0.9894 instance_segmentation_loss_reg: 0.7298 instance_segmentation_loss_poly: 3.1116 semantic_segmentation_loss_cls: 0.3506 2023/09/30 17:16:54 - mmengine - INFO - Iter(train) [ 4400/480000] base_lr: 1.9996e-04 lr: 5.3323e-05 eta: 12 days, 22:47:18 time: 2.4198 data_time: 0.1343 memory: 26684 grad_norm: 98.3461 loss: 9.4927 grounding_loss_reg: 12.8521 detection_loss_cls: 1.2172 detection_loss_reg: 1.3986 caption_loss_cls: 27.7453 instance_segmentation_loss_cls: 0.9725 instance_segmentation_loss_reg: 0.7220 instance_segmentation_loss_poly: 3.0726 semantic_segmentation_loss_cls: 0.3427 2023/09/30 17:21:01 - mmengine - INFO - Iter(train) [ 4500/480000] base_lr: 1.9996e-04 lr: 5.3322e-05 eta: 12 days, 23:03:40 time: 2.4344 data_time: 0.1342 memory: 26684 grad_norm: 78.0990 loss: 3.3450 grounding_loss_reg: 12.6535 detection_loss_cls: 1.1966 detection_loss_reg: 1.3889 caption_loss_cls: 27.2730 instance_segmentation_loss_cls: 0.9579 instance_segmentation_loss_reg: 0.7179 instance_segmentation_loss_poly: 3.0484 semantic_segmentation_loss_cls: 0.3347 2023/09/30 17:21:01 - mmengine - INFO - Saving checkpoint at 4500 iterations 2023/09/30 17:26:23 - mmengine - INFO - Iter(train) [ 4600/480000] base_lr: 1.9996e-04 lr: 5.3322e-05 eta: 13 days, 1:28:57 time: 2.4582 data_time: 0.1343 memory: 26684 grad_norm: 76.8545 loss: 3.1678 grounding_loss_reg: 12.5544 detection_loss_cls: 1.1698 detection_loss_reg: 1.3682 caption_loss_cls: 26.8285 instance_segmentation_loss_cls: 0.9424 instance_segmentation_loss_reg: 0.7130 instance_segmentation_loss_poly: 3.0188 semantic_segmentation_loss_cls: 0.3285 2023/09/30 17:30:47 - mmengine - INFO - Iter(train) [ 4700/480000] base_lr: 1.9995e-04 lr: 5.3321e-05 eta: 13 days, 2:09:47 time: 2.4770 data_time: 0.1344 memory: 26684 grad_norm: 75.7894 loss: 3.0525 grounding_loss_reg: 12.4996 detection_loss_cls: 1.1509 detection_loss_reg: 1.3580 caption_loss_cls: 26.3491 instance_segmentation_loss_cls: 0.9241 instance_segmentation_loss_reg: 0.7098 instance_segmentation_loss_poly: 2.9920 semantic_segmentation_loss_cls: 0.3226 2023/09/30 17:35:23 - mmengine - INFO - Iter(train) [ 4800/480000] base_lr: 1.9995e-04 lr: 5.3321e-05 eta: 13 days, 3:08:53 time: 2.4979 data_time: 0.1345 memory: 26684 grad_norm: 75.1262 loss: 2.9682 grounding_loss_reg: 12.3900 detection_loss_cls: 1.1294 detection_loss_reg: 1.3425 caption_loss_cls: 25.9055 instance_segmentation_loss_cls: 0.9012 instance_segmentation_loss_reg: 0.6981 instance_segmentation_loss_poly: 2.9406 semantic_segmentation_loss_cls: 0.3201 2023/09/30 17:39:08 - mmengine - INFO - Iter(train) [ 4900/480000] base_lr: 1.9995e-04 lr: 5.3320e-05 eta: 13 days, 2:41:35 time: 2.5050 data_time: 0.1344 memory: 26684 grad_norm: 74.5104 loss: 2.9038 grounding_loss_reg: 12.2955 detection_loss_cls: 1.1064 detection_loss_reg: 1.3276 caption_loss_cls: 25.3468 instance_segmentation_loss_cls: 0.8938 instance_segmentation_loss_reg: 0.6934 instance_segmentation_loss_poly: 2.9199 semantic_segmentation_loss_cls: 0.3157 2023/09/30 17:42:49 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_135846 2023/09/30 17:42:49 - mmengine - INFO - Iter(train) [ 5000/480000] base_lr: 1.9995e-04 lr: 5.3320e-05 eta: 13 days, 2:10:03 time: 2.5150 data_time: 0.1344 memory: 25845 grad_norm: 74.1161 loss: 2.8239 grounding_loss_reg: 12.2029 detection_loss_cls: 1.0897 detection_loss_reg: 1.3160 caption_loss_cls: 24.8082 instance_segmentation_loss_cls: 0.8829 instance_segmentation_loss_reg: 0.6870 instance_segmentation_loss_poly: 2.8940 semantic_segmentation_loss_cls: 0.3102 2023/09/30 17:42:49 - mmengine - INFO - Saving checkpoint at 5000 iterations 2023/09/30 17:48:12 - mmengine - INFO - Iter(train) [ 5100/480000] base_lr: 1.9994e-04 lr: 5.3319e-05 eta: 13 days, 4:19:02 time: 2.5299 data_time: 0.1340 memory: 26684 grad_norm: 73.7827 loss: 2.7711 grounding_loss_reg: 12.0909 detection_loss_cls: 1.0748 detection_loss_reg: 1.3049 caption_loss_cls: 24.4658 instance_segmentation_loss_cls: 0.8647 instance_segmentation_loss_reg: 0.6817 instance_segmentation_loss_poly: 2.8597 semantic_segmentation_loss_cls: 0.3046 2023/09/30 17:52:27 - mmengine - INFO - Iter(train) [ 5200/480000] base_lr: 1.9994e-04 lr: 5.3318e-05 eta: 13 days, 4:37:42 time: 2.5461 data_time: 0.1340 memory: 26684 grad_norm: 73.5186 loss: 2.7288 grounding_loss_reg: 11.8906 detection_loss_cls: 1.0592 detection_loss_reg: 1.2960 caption_loss_cls: 24.1166 instance_segmentation_loss_cls: 0.8481 instance_segmentation_loss_reg: 0.6755 instance_segmentation_loss_poly: 2.8295 semantic_segmentation_loss_cls: 0.3003 2023/09/30 17:56:49 - mmengine - INFO - Iter(train) [ 5300/480000] base_lr: 1.9994e-04 lr: 5.3318e-05 eta: 13 days, 5:05:59 time: 2.5580 data_time: 0.1340 memory: 26684 grad_norm: 73.3414 loss: 2.6986 grounding_loss_reg: 11.7751 detection_loss_cls: 1.0426 detection_loss_reg: 1.2911 caption_loss_cls: 23.8773 instance_segmentation_loss_cls: 0.8367 instance_segmentation_loss_reg: 0.6713 instance_segmentation_loss_poly: 2.8049 semantic_segmentation_loss_cls: 0.2929 2023/09/30 18:01:00 - mmengine - INFO - Iter(train) [ 5400/480000] base_lr: 1.9994e-04 lr: 5.3317e-05 eta: 13 days, 5:18:19 time: 2.5688 data_time: 0.1340 memory: 26684 grad_norm: 73.0908 loss: 2.6764 grounding_loss_reg: 11.6805 detection_loss_cls: 1.0253 detection_loss_reg: 1.2842 caption_loss_cls: 23.5154 instance_segmentation_loss_cls: 0.8244 instance_segmentation_loss_reg: 0.6650 instance_segmentation_loss_poly: 2.7760 semantic_segmentation_loss_cls: 0.2891 2023/09/30 18:05:40 - mmengine - INFO - Iter(train) [ 5500/480000] base_lr: 1.9994e-04 lr: 5.3317e-05 eta: 13 days, 6:10:08 time: 2.5847 data_time: 0.1341 memory: 26684 grad_norm: 72.5901 loss: 2.6403 grounding_loss_reg: 11.5908 detection_loss_cls: 1.0072 detection_loss_reg: 1.2747 caption_loss_cls: 23.2651 instance_segmentation_loss_cls: 0.8098 instance_segmentation_loss_reg: 0.6586 instance_segmentation_loss_poly: 2.7476 semantic_segmentation_loss_cls: 0.2851 2023/09/30 18:05:40 - mmengine - INFO - Saving checkpoint at 5500 iterations 2023/09/30 18:11:11 - mmengine - INFO - Iter(train) [ 5600/480000] base_lr: 1.9993e-04 lr: 5.3316e-05 eta: 13 days, 8:13:10 time: 2.5999 data_time: 0.1346 memory: 26684 grad_norm: 72.4501 loss: 2.6057 grounding_loss_reg: 11.4953 detection_loss_cls: 0.9894 detection_loss_reg: 1.2587 caption_loss_cls: 23.0114 instance_segmentation_loss_cls: 0.7999 instance_segmentation_loss_reg: 0.6545 instance_segmentation_loss_poly: 2.7272 semantic_segmentation_loss_cls: 0.2791 2023/09/30 18:15:33 - mmengine - INFO - Iter(train) [ 5700/480000] base_lr: 1.9993e-04 lr: 5.3315e-05 eta: 13 days, 8:34:54 time: 2.6108 data_time: 0.1347 memory: 26684 grad_norm: 63.6679 loss: 2.5718 grounding_loss_reg: 11.4200 detection_loss_cls: 0.9744 detection_loss_reg: 1.2464 caption_loss_cls: 22.6115 instance_segmentation_loss_cls: 0.7908 instance_segmentation_loss_reg: 0.6568 instance_segmentation_loss_poly: 2.7195 semantic_segmentation_loss_cls: 0.2767 2023/09/30 18:19:59 - mmengine - INFO - Iter(train) [ 5800/480000] base_lr: 1.9993e-04 lr: 5.3315e-05 eta: 13 days, 9:02:30 time: 2.6233 data_time: 0.1347 memory: 25845 grad_norm: 63.5153 loss: 2.5632 grounding_loss_reg: 11.3659 detection_loss_cls: 0.9617 detection_loss_reg: 1.2381 caption_loss_cls: 22.3118 instance_segmentation_loss_cls: 0.7781 instance_segmentation_loss_reg: 0.6500 instance_segmentation_loss_poly: 2.6927 semantic_segmentation_loss_cls: 0.2716 2023/09/30 18:24:38 - mmengine - INFO - Iter(train) [ 5900/480000] base_lr: 1.9993e-04 lr: 5.3314e-05 eta: 13 days, 9:44:30 time: 2.6335 data_time: 0.1347 memory: 25845 grad_norm: 63.4188 loss: 2.5608 grounding_loss_reg: 11.2997 detection_loss_cls: 0.9453 detection_loss_reg: 1.2275 caption_loss_cls: 22.0191 instance_segmentation_loss_cls: 0.7672 instance_segmentation_loss_reg: 0.6456 instance_segmentation_loss_poly: 2.6728 semantic_segmentation_loss_cls: 0.2692 2023/09/30 18:28:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_135846 2023/09/30 18:28:38 - mmengine - INFO - Iter(train) [ 6000/480000] base_lr: 1.9992e-04 lr: 5.3314e-05 eta: 13 days, 9:35:53 time: 2.6365 data_time: 0.1347 memory: 26684 grad_norm: 63.3032 loss: 2.5555 grounding_loss_reg: 11.2146 detection_loss_cls: 0.9349 detection_loss_reg: 1.2174 caption_loss_cls: 21.6892 instance_segmentation_loss_cls: 0.7577 instance_segmentation_loss_reg: 0.6418 instance_segmentation_loss_poly: 2.6534 semantic_segmentation_loss_cls: 0.2646 2023/09/30 18:28:38 - mmengine - INFO - Saving checkpoint at 6000 iterations 2023/09/30 18:33:56 - mmengine - INFO - Iter(train) [ 6100/480000] base_lr: 1.9992e-04 lr: 5.3313e-05 eta: 13 days, 11:06:23 time: 2.6450 data_time: 0.1345 memory: 26684 grad_norm: 62.9565 loss: 2.5380 grounding_loss_reg: 11.1554 detection_loss_cls: 0.9231 detection_loss_reg: 1.2120 caption_loss_cls: 21.4283 instance_segmentation_loss_cls: 0.7487 instance_segmentation_loss_reg: 0.6372 instance_segmentation_loss_poly: 2.6345 semantic_segmentation_loss_cls: 0.2595 2023/09/30 18:38:36 - mmengine - INFO - Iter(train) [ 6200/480000] base_lr: 1.9992e-04 lr: 5.3312e-05 eta: 13 days, 11:47:01 time: 2.6550 data_time: 0.1345 memory: 26684 grad_norm: 61.4929 loss: 2.4887 grounding_loss_reg: 11.0898 detection_loss_cls: 0.9107 detection_loss_reg: 1.2063 caption_loss_cls: 21.1803 instance_segmentation_loss_cls: 0.7373 instance_segmentation_loss_reg: 0.6303 instance_segmentation_loss_poly: 2.6041 semantic_segmentation_loss_cls: 0.2560 2023/09/30 18:43:14 - mmengine - INFO - Iter(train) [ 6300/480000] base_lr: 1.9992e-04 lr: 5.3312e-05 eta: 13 days, 12:23:15 time: 2.6648 data_time: 0.1346 memory: 26684 grad_norm: 60.9646 loss: 2.4807 grounding_loss_reg: 11.0273 detection_loss_cls: 0.8978 detection_loss_reg: 1.1958 caption_loss_cls: 20.9003 instance_segmentation_loss_cls: 0.7255 instance_segmentation_loss_reg: 0.6225 instance_segmentation_loss_poly: 2.5717 semantic_segmentation_loss_cls: 0.2537 2023/09/30 18:47:23 - mmengine - INFO - Iter(train) [ 6400/480000] base_lr: 1.9991e-04 lr: 5.3311e-05 eta: 13 days, 12:21:02 time: 2.6699 data_time: 0.1346 memory: 26684 grad_norm: 55.1122 loss: 2.4582 grounding_loss_reg: 10.9653 detection_loss_cls: 0.8875 detection_loss_reg: 1.1901 caption_loss_cls: 20.5791 instance_segmentation_loss_cls: 0.7193 instance_segmentation_loss_reg: 0.6221 instance_segmentation_loss_poly: 2.5623 semantic_segmentation_loss_cls: 0.2502 2023/09/30 18:51:54 - mmengine - INFO - Iter(train) [ 6500/480000] base_lr: 1.9991e-04 lr: 5.3310e-05 eta: 13 days, 12:46:55 time: 2.6723 data_time: 0.1347 memory: 25845 grad_norm: 54.9972 loss: 2.4518 grounding_loss_reg: 10.9227 detection_loss_cls: 0.8768 detection_loss_reg: 1.1843 caption_loss_cls: 20.3740 instance_segmentation_loss_cls: 0.7095 instance_segmentation_loss_reg: 0.6190 instance_segmentation_loss_poly: 2.5440 semantic_segmentation_loss_cls: 0.2464 2023/09/30 18:51:54 - mmengine - INFO - Saving checkpoint at 6500 iterations 2023/09/30 18:57:10 - mmengine - INFO - Iter(train) [ 6600/480000] base_lr: 1.9991e-04 lr: 5.3309e-05 eta: 13 days, 14:05:03 time: 2.6791 data_time: 0.1341 memory: 26684 grad_norm: 48.5886 loss: 2.3956 grounding_loss_reg: 10.7907 detection_loss_cls: 0.8665 detection_loss_reg: 1.1741 caption_loss_cls: 20.1270 instance_segmentation_loss_cls: 0.7008 instance_segmentation_loss_reg: 0.6144 instance_segmentation_loss_poly: 2.5241 semantic_segmentation_loss_cls: 0.2436 2023/09/30 19:32:02 - mmengine - INFO - Iter(train) [ 6700/480000] base_lr: 1.9990e-04 lr: 5.3309e-05 eta: 8 days, 3:43:50 time: 2.6057 data_time: 0.1193 memory: 26581 grad_norm: 47.7931 loss: 2.3911 grounding_loss_reg: 10.6541 detection_loss_cls: 0.8574 detection_loss_reg: 1.1728 caption_loss_cls: 19.9383 instance_segmentation_loss_cls: 0.6923 instance_segmentation_loss_reg: 0.6124 instance_segmentation_loss_poly: 2.5094 semantic_segmentation_loss_cls: 0.2398 2023/09/30 19:34:41 - mmengine - INFO - Iter(train) [ 6800/480000] base_lr: 1.9990e-04 lr: 5.3308e-05 eta: 8 days, 8:00:08 time: 2.5847 data_time: 0.1193 memory: 26581 grad_norm: 47.6327 loss: 2.3741 grounding_loss_reg: 10.5892 detection_loss_cls: 0.8490 detection_loss_reg: 1.1657 caption_loss_cls: 19.7012 instance_segmentation_loss_cls: 0.6810 instance_segmentation_loss_reg: 0.6068 instance_segmentation_loss_poly: 2.4841 semantic_segmentation_loss_cls: 0.2370 2023/09/30 19:37:30 - mmengine - INFO - Iter(train) [ 6900/480000] base_lr: 1.9990e-04 lr: 5.3307e-05 eta: 8 days, 13:27:13 time: 2.5674 data_time: 0.1193 memory: 26581 grad_norm: 43.1217 loss: 2.3641 grounding_loss_reg: 10.5094 detection_loss_cls: 0.8425 detection_loss_reg: 1.1626 caption_loss_cls: 19.4730 instance_segmentation_loss_cls: 0.6699 instance_segmentation_loss_reg: 0.6003 instance_segmentation_loss_poly: 2.4571 semantic_segmentation_loss_cls: 0.2337 2023/09/30 19:40:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 19:40:32 - mmengine - INFO - Iter(train) [ 7000/480000] base_lr: 1.9990e-04 lr: 5.3306e-05 eta: 8 days, 20:05:38 time: 2.5514 data_time: 0.1193 memory: 26581 grad_norm: 15.8168 loss: 2.3249 grounding_loss_reg: 10.4185 detection_loss_cls: 0.8339 detection_loss_reg: 1.1574 caption_loss_cls: 19.2960 instance_segmentation_loss_cls: 0.6609 instance_segmentation_loss_reg: 0.5977 instance_segmentation_loss_poly: 2.4403 semantic_segmentation_loss_cls: 0.2310 2023/09/30 19:40:32 - mmengine - INFO - Saving checkpoint at 7000 iterations 2023/09/30 19:44:14 - mmengine - INFO - Iter(train) [ 7100/480000] base_lr: 1.9989e-04 lr: 5.3306e-05 eta: 9 days, 9:30:11 time: 2.5287 data_time: 0.1188 memory: 26581 grad_norm: 15.6871 loss: 2.3176 grounding_loss_reg: 10.3770 detection_loss_cls: 0.8257 detection_loss_reg: 1.1534 caption_loss_cls: 19.0219 instance_segmentation_loss_cls: 0.6545 instance_segmentation_loss_reg: 0.5947 instance_segmentation_loss_poly: 2.4233 semantic_segmentation_loss_cls: 0.2283 2023/09/30 19:47:17 - mmengine - INFO - Iter(train) [ 7200/480000] base_lr: 1.9989e-04 lr: 5.3305e-05 eta: 9 days, 11:30:56 time: 2.5140 data_time: 0.1188 memory: 26581 grad_norm: 15.5856 loss: 2.3026 grounding_loss_reg: 10.3151 detection_loss_cls: 0.8137 detection_loss_reg: 1.1456 caption_loss_cls: 18.8379 instance_segmentation_loss_cls: 0.6499 instance_segmentation_loss_reg: 0.5934 instance_segmentation_loss_poly: 2.4158 semantic_segmentation_loss_cls: 0.2254 2023/09/30 19:50:27 - mmengine - INFO - Iter(train) [ 7300/480000] base_lr: 1.9989e-04 lr: 5.3304e-05 eta: 9 days, 14:08:08 time: 2.4960 data_time: 0.1187 memory: 26581 grad_norm: 15.3858 loss: 2.2960 grounding_loss_reg: 10.2876 detection_loss_cls: 0.8062 detection_loss_reg: 1.1417 caption_loss_cls: 18.6259 instance_segmentation_loss_cls: 0.6408 instance_segmentation_loss_reg: 0.5872 instance_segmentation_loss_poly: 2.3917 semantic_segmentation_loss_cls: 0.2226 2023/09/30 19:53:44 - mmengine - INFO - Iter(train) [ 7400/480000] base_lr: 1.9988e-04 lr: 5.3303e-05 eta: 9 days, 17:23:39 time: 2.4857 data_time: 0.1186 memory: 26581 grad_norm: 14.7807 loss: 2.2813 grounding_loss_reg: 10.1958 detection_loss_cls: 0.7998 detection_loss_reg: 1.1410 caption_loss_cls: 18.4407 instance_segmentation_loss_cls: 0.6328 instance_segmentation_loss_reg: 0.5828 instance_segmentation_loss_poly: 2.3719 semantic_segmentation_loss_cls: 0.2198 2023/09/30 19:56:48 - mmengine - INFO - Iter(train) [ 7500/480000] base_lr: 1.9988e-04 lr: 5.3302e-05 eta: 9 days, 18:03:02 time: 2.4647 data_time: 0.1185 memory: 26581 grad_norm: 14.4816 loss: 2.2776 grounding_loss_reg: 10.1285 detection_loss_cls: 0.7921 detection_loss_reg: 1.1378 caption_loss_cls: 18.2259 instance_segmentation_loss_cls: 0.6257 instance_segmentation_loss_reg: 0.5791 instance_segmentation_loss_poly: 2.3569 semantic_segmentation_loss_cls: 0.2184 2023/09/30 19:56:48 - mmengine - INFO - Saving checkpoint at 7500 iterations 2023/09/30 20:01:11 - mmengine - INFO - Iter(train) [ 7600/480000] base_lr: 1.9988e-04 lr: 5.3302e-05 eta: 10 days, 4:07:06 time: 2.4556 data_time: 0.1190 memory: 26581 grad_norm: 2.5741 loss: 2.2068 grounding_loss_reg: 10.0710 detection_loss_cls: 0.7842 detection_loss_reg: 1.1313 caption_loss_cls: 18.0415 instance_segmentation_loss_cls: 0.6169 instance_segmentation_loss_reg: 0.5745 instance_segmentation_loss_poly: 2.3345 semantic_segmentation_loss_cls: 0.2169 2023/09/30 20:04:07 - mmengine - INFO - Iter(train) [ 7700/480000] base_lr: 1.9987e-04 lr: 5.3301e-05 eta: 10 days, 3:00:13 time: 2.4319 data_time: 0.1189 memory: 25741 grad_norm: 2.5097 loss: 2.1985 grounding_loss_reg: 10.0161 detection_loss_cls: 0.7764 detection_loss_reg: 1.1254 caption_loss_cls: 17.8467 instance_segmentation_loss_cls: 0.6105 instance_segmentation_loss_reg: 0.5713 instance_segmentation_loss_poly: 2.3194 semantic_segmentation_loss_cls: 0.2144 2023/09/30 20:07:39 - mmengine - INFO - Iter(train) [ 7800/480000] base_lr: 1.9987e-04 lr: 5.3300e-05 eta: 10 days, 5:38:18 time: 2.4193 data_time: 0.1189 memory: 26581 grad_norm: 2.4503 loss: 2.1812 grounding_loss_reg: 9.9591 detection_loss_cls: 0.7678 detection_loss_reg: 1.1178 caption_loss_cls: 17.7047 instance_segmentation_loss_cls: 0.6032 instance_segmentation_loss_reg: 0.5670 instance_segmentation_loss_poly: 2.3008 semantic_segmentation_loss_cls: 0.2117 2023/09/30 20:10:57 - mmengine - INFO - Iter(train) [ 7900/480000] base_lr: 1.9987e-04 lr: 5.3299e-05 eta: 10 days, 6:37:09 time: 2.4056 data_time: 0.1189 memory: 26581 grad_norm: 2.3912 loss: 2.1678 grounding_loss_reg: 9.8587 detection_loss_cls: 0.7606 detection_loss_reg: 1.1139 caption_loss_cls: 17.5432 instance_segmentation_loss_cls: 0.5974 instance_segmentation_loss_reg: 0.5644 instance_segmentation_loss_poly: 2.2898 semantic_segmentation_loss_cls: 0.2106 2023/09/30 20:14:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 20:14:36 - mmengine - INFO - Iter(train) [ 8000/480000] base_lr: 1.9986e-04 lr: 5.3298e-05 eta: 10 days, 9:15:59 time: 2.3976 data_time: 0.1188 memory: 26581 grad_norm: 2.3439 loss: 2.1554 grounding_loss_reg: 9.7855 detection_loss_cls: 0.7532 detection_loss_reg: 1.1083 caption_loss_cls: 17.3854 instance_segmentation_loss_cls: 0.5913 instance_segmentation_loss_reg: 0.5609 instance_segmentation_loss_poly: 2.2748 semantic_segmentation_loss_cls: 0.2085 2023/09/30 20:14:36 - mmengine - INFO - Saving checkpoint at 8000 iterations 2023/09/30 20:18:57 - mmengine - INFO - Iter(train) [ 8100/480000] base_lr: 1.9986e-04 lr: 5.3297e-05 eta: 10 days, 14:58:57 time: 2.3866 data_time: 0.1182 memory: 26581 grad_norm: 2.3127 loss: 2.1475 grounding_loss_reg: 9.7591 detection_loss_cls: 0.7458 detection_loss_reg: 1.1039 caption_loss_cls: 17.2027 instance_segmentation_loss_cls: 0.5879 instance_segmentation_loss_reg: 0.5614 instance_segmentation_loss_poly: 2.2717 semantic_segmentation_loss_cls: 0.2061 2023/09/30 20:22:36 - mmengine - INFO - Iter(train) [ 8200/480000] base_lr: 1.9986e-04 lr: 5.3296e-05 eta: 10 days, 16:49:37 time: 2.3742 data_time: 0.1181 memory: 26581 grad_norm: 2.2738 loss: 2.1494 grounding_loss_reg: 9.6869 detection_loss_cls: 0.7398 detection_loss_reg: 1.1008 caption_loss_cls: 17.0436 instance_segmentation_loss_cls: 0.5825 instance_segmentation_loss_reg: 0.5607 instance_segmentation_loss_poly: 2.2635 semantic_segmentation_loss_cls: 0.2041 2023/09/30 20:26:19 - mmengine - INFO - Iter(train) [ 8300/480000] base_lr: 1.9985e-04 lr: 5.3295e-05 eta: 10 days, 18:44:30 time: 2.3729 data_time: 0.1183 memory: 26581 grad_norm: 2.2464 loss: 2.1470 grounding_loss_reg: 9.6436 detection_loss_cls: 0.7329 detection_loss_reg: 1.0954 caption_loss_cls: 16.8942 instance_segmentation_loss_cls: 0.5797 instance_segmentation_loss_reg: 0.5654 instance_segmentation_loss_poly: 2.2637 semantic_segmentation_loss_cls: 0.2017 2023/09/30 20:30:13 - mmengine - INFO - Iter(train) [ 8400/480000] base_lr: 1.9985e-04 lr: 5.3295e-05 eta: 10 days, 21:14:06 time: 2.3721 data_time: 0.1183 memory: 26581 grad_norm: 2.2217 loss: 2.1405 grounding_loss_reg: 9.5854 detection_loss_cls: 0.7243 detection_loss_reg: 1.0880 caption_loss_cls: 16.7691 instance_segmentation_loss_cls: 0.5745 instance_segmentation_loss_reg: 0.5642 instance_segmentation_loss_poly: 2.2532 semantic_segmentation_loss_cls: 0.2000 2023/09/30 20:33:43 - mmengine - INFO - Iter(train) [ 8500/480000] base_lr: 1.9985e-04 lr: 5.3294e-05 eta: 10 days, 21:49:32 time: 2.3627 data_time: 0.1182 memory: 26581 grad_norm: 2.1873 loss: 2.1228 grounding_loss_reg: 9.5612 detection_loss_cls: 0.7192 detection_loss_reg: 1.0818 caption_loss_cls: 16.5869 instance_segmentation_loss_cls: 0.5686 instance_segmentation_loss_reg: 0.5606 instance_segmentation_loss_poly: 2.2369 semantic_segmentation_loss_cls: 0.1976 2023/09/30 20:33:43 - mmengine - INFO - Saving checkpoint at 8500 iterations 2023/09/30 20:38:12 - mmengine - INFO - Iter(train) [ 8600/480000] base_lr: 1.9984e-04 lr: 5.3293e-05 eta: 11 days, 2:06:04 time: 2.3496 data_time: 0.1180 memory: 26581 grad_norm: 2.1568 loss: 2.1073 grounding_loss_reg: 9.5525 detection_loss_cls: 0.7115 detection_loss_reg: 1.0760 caption_loss_cls: 16.4086 instance_segmentation_loss_cls: 0.5653 instance_segmentation_loss_reg: 0.5585 instance_segmentation_loss_poly: 2.2285 semantic_segmentation_loss_cls: 0.1954 2023/09/30 20:42:06 - mmengine - INFO - Iter(train) [ 8700/480000] base_lr: 1.9984e-04 lr: 5.3292e-05 eta: 11 days, 3:54:03 time: 2.3422 data_time: 0.1179 memory: 26581 grad_norm: 2.1308 loss: 2.1039 grounding_loss_reg: 9.4848 detection_loss_cls: 0.7066 detection_loss_reg: 1.0741 caption_loss_cls: 16.2866 instance_segmentation_loss_cls: 0.5602 instance_segmentation_loss_reg: 0.5575 instance_segmentation_loss_poly: 2.2214 semantic_segmentation_loss_cls: 0.1929 2023/09/30 20:45:55 - mmengine - INFO - Iter(train) [ 8800/480000] base_lr: 1.9984e-04 lr: 5.3291e-05 eta: 11 days, 5:11:28 time: 2.3302 data_time: 0.1178 memory: 25741 grad_norm: 2.1025 loss: 2.0970 grounding_loss_reg: 9.4216 detection_loss_cls: 0.7020 detection_loss_reg: 1.0714 caption_loss_cls: 16.1588 instance_segmentation_loss_cls: 0.5544 instance_segmentation_loss_reg: 0.5544 instance_segmentation_loss_poly: 2.2091 semantic_segmentation_loss_cls: 0.1903 2023/09/30 20:49:35 - mmengine - INFO - Iter(train) [ 8900/480000] base_lr: 1.9983e-04 lr: 5.3290e-05 eta: 11 days, 5:56:07 time: 2.3292 data_time: 0.1179 memory: 25741 grad_norm: 2.0807 loss: 2.1018 grounding_loss_reg: 9.3686 detection_loss_cls: 0.6981 detection_loss_reg: 1.0697 caption_loss_cls: 15.9711 instance_segmentation_loss_cls: 0.5491 instance_segmentation_loss_reg: 0.5520 instance_segmentation_loss_poly: 2.1982 semantic_segmentation_loss_cls: 0.1891 2023/09/30 20:53:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 20:53:40 - mmengine - INFO - Iter(train) [ 9000/480000] base_lr: 1.9983e-04 lr: 5.3289e-05 eta: 11 days, 7:53:43 time: 2.3352 data_time: 0.1178 memory: 25741 grad_norm: 2.0523 loss: 2.0917 grounding_loss_reg: 9.3686 detection_loss_cls: 0.6904 detection_loss_reg: 1.0606 caption_loss_cls: 15.8177 instance_segmentation_loss_cls: 0.5454 instance_segmentation_loss_reg: 0.5495 instance_segmentation_loss_poly: 2.1877 semantic_segmentation_loss_cls: 0.1875 2023/09/30 20:53:40 - mmengine - INFO - Saving checkpoint at 9000 iterations 2023/09/30 20:58:25 - mmengine - INFO - Iter(train) [ 9100/480000] base_lr: 1.9982e-04 lr: 5.3288e-05 eta: 11 days, 11:43:26 time: 2.3255 data_time: 0.1176 memory: 26581 grad_norm: 2.0250 loss: 2.0848 grounding_loss_reg: 9.3331 detection_loss_cls: 0.6860 detection_loss_reg: 1.0589 caption_loss_cls: 15.6417 instance_segmentation_loss_cls: 0.5405 instance_segmentation_loss_reg: 0.5468 instance_segmentation_loss_poly: 2.1731 semantic_segmentation_loss_cls: 0.1861 2023/09/30 21:02:53 - mmengine - INFO - Iter(train) [ 9200/480000] base_lr: 1.9982e-04 lr: 5.3287e-05 eta: 11 days, 14:25:42 time: 2.3288 data_time: 0.1176 memory: 26581 grad_norm: 1.9982 loss: 2.0762 grounding_loss_reg: 9.2983 detection_loss_cls: 0.6796 detection_loss_reg: 1.0552 caption_loss_cls: 15.5268 instance_segmentation_loss_cls: 0.5359 instance_segmentation_loss_reg: 0.5451 instance_segmentation_loss_poly: 2.1637 semantic_segmentation_loss_cls: 0.1848 2023/09/30 21:06:42 - mmengine - INFO - Iter(train) [ 9300/480000] base_lr: 1.9982e-04 lr: 5.3286e-05 eta: 11 days, 15:06:32 time: 2.3205 data_time: 0.1176 memory: 26581 grad_norm: 1.9824 loss: 2.0768 grounding_loss_reg: 9.2457 detection_loss_cls: 0.6735 detection_loss_reg: 1.0480 caption_loss_cls: 15.3762 instance_segmentation_loss_cls: 0.5341 instance_segmentation_loss_reg: 0.5459 instance_segmentation_loss_poly: 2.1602 semantic_segmentation_loss_cls: 0.1835 2023/09/30 21:10:41 - mmengine - INFO - Iter(train) [ 9400/480000] base_lr: 1.9981e-04 lr: 5.3285e-05 eta: 11 days, 16:12:30 time: 2.3174 data_time: 0.1175 memory: 26581 grad_norm: 1.9638 loss: 2.0671 grounding_loss_reg: 9.2041 detection_loss_cls: 0.6690 detection_loss_reg: 1.0472 caption_loss_cls: 15.2719 instance_segmentation_loss_cls: 0.5304 instance_segmentation_loss_reg: 0.5446 instance_segmentation_loss_poly: 2.1535 semantic_segmentation_loss_cls: 0.1808 2023/09/30 21:14:54 - mmengine - INFO - Iter(train) [ 9500/480000] base_lr: 1.9981e-04 lr: 5.3284e-05 eta: 11 days, 17:51:04 time: 2.3109 data_time: 0.1175 memory: 26581 grad_norm: 1.9545 loss: 2.0686 grounding_loss_reg: 9.1746 detection_loss_cls: 0.6638 detection_loss_reg: 1.0434 caption_loss_cls: 15.1423 instance_segmentation_loss_cls: 0.5264 instance_segmentation_loss_reg: 0.5438 instance_segmentation_loss_poly: 2.1466 semantic_segmentation_loss_cls: 0.1795 2023/09/30 21:14:54 - mmengine - INFO - Saving checkpoint at 9500 iterations 2023/09/30 21:20:01 - mmengine - INFO - Iter(train) [ 9600/480000] base_lr: 1.9980e-04 lr: 5.3283e-05 eta: 11 days, 21:37:25 time: 2.3047 data_time: 0.1175 memory: 26581 grad_norm: 1.9541 loss: 2.0881 grounding_loss_reg: 9.1163 detection_loss_cls: 0.6595 detection_loss_reg: 1.0397 caption_loss_cls: 15.0282 instance_segmentation_loss_cls: 0.5217 instance_segmentation_loss_reg: 0.5424 instance_segmentation_loss_poly: 2.1375 semantic_segmentation_loss_cls: 0.1783 2023/09/30 21:23:53 - mmengine - INFO - Iter(train) [ 9700/480000] base_lr: 1.9980e-04 lr: 5.3282e-05 eta: 11 days, 22:06:21 time: 2.2973 data_time: 0.1174 memory: 26581 grad_norm: 1.9373 loss: 2.0795 grounding_loss_reg: 9.0676 detection_loss_cls: 0.6551 detection_loss_reg: 1.0372 caption_loss_cls: 14.8925 instance_segmentation_loss_cls: 0.5188 instance_segmentation_loss_reg: 0.5419 instance_segmentation_loss_poly: 2.1336 semantic_segmentation_loss_cls: 0.1768 2023/09/30 21:28:13 - mmengine - INFO - Iter(train) [ 9800/480000] base_lr: 1.9980e-04 lr: 5.3281e-05 eta: 11 days, 23:40:42 time: 2.2957 data_time: 0.1175 memory: 26581 grad_norm: 1.9288 loss: 2.0787 grounding_loss_reg: 9.0501 detection_loss_cls: 0.6500 detection_loss_reg: 1.0333 caption_loss_cls: 14.7843 instance_segmentation_loss_cls: 0.5145 instance_segmentation_loss_reg: 0.5430 instance_segmentation_loss_poly: 2.1299 semantic_segmentation_loss_cls: 0.1757 2023/09/30 21:32:03 - mmengine - INFO - Iter(train) [ 9900/480000] base_lr: 1.9979e-04 lr: 5.3279e-05 eta: 12 days, 0:00:28 time: 2.2838 data_time: 0.1175 memory: 26581 grad_norm: 1.9154 loss: 2.0721 grounding_loss_reg: 9.0225 detection_loss_cls: 0.6456 detection_loss_reg: 1.0302 caption_loss_cls: 14.6560 instance_segmentation_loss_cls: 0.5105 instance_segmentation_loss_reg: 0.5402 instance_segmentation_loss_poly: 2.1193 semantic_segmentation_loss_cls: 0.1740 2023/09/30 21:36:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 21:36:11 - mmengine - INFO - Iter(train) [ 10000/480000] base_lr: 1.9979e-04 lr: 5.3278e-05 eta: 12 days, 0:57:32 time: 2.2855 data_time: 0.1174 memory: 26581 grad_norm: 1.8997 loss: 2.0585 grounding_loss_reg: 8.9847 detection_loss_cls: 0.6409 detection_loss_reg: 1.0256 caption_loss_cls: 14.5662 instance_segmentation_loss_cls: 0.5063 instance_segmentation_loss_reg: 0.5382 instance_segmentation_loss_poly: 2.1108 semantic_segmentation_loss_cls: 0.1718 2023/09/30 21:36:11 - mmengine - INFO - Saving checkpoint at 10000 iterations 2023/09/30 21:40:48 - mmengine - INFO - Iter(train) [ 10100/480000] base_lr: 1.9978e-04 lr: 5.3277e-05 eta: 12 days, 2:55:10 time: 2.2754 data_time: 0.1180 memory: 26581 grad_norm: 1.8958 loss: 2.0707 grounding_loss_reg: 8.9409 detection_loss_cls: 0.6367 detection_loss_reg: 1.0242 caption_loss_cls: 14.4196 instance_segmentation_loss_cls: 0.5038 instance_segmentation_loss_reg: 0.5384 instance_segmentation_loss_poly: 2.1083 semantic_segmentation_loss_cls: 0.1709 2023/09/30 21:45:15 - mmengine - INFO - Iter(train) [ 10200/480000] base_lr: 1.9978e-04 lr: 5.3276e-05 eta: 12 days, 4:23:32 time: 2.2719 data_time: 0.1180 memory: 26581 grad_norm: 1.8885 loss: 2.0658 grounding_loss_reg: 8.9321 detection_loss_cls: 0.6321 detection_loss_reg: 1.0218 caption_loss_cls: 14.3230 instance_segmentation_loss_cls: 0.4990 instance_segmentation_loss_reg: 0.5358 instance_segmentation_loss_poly: 2.0970 semantic_segmentation_loss_cls: 0.1692 2023/09/30 21:49:47 - mmengine - INFO - Iter(train) [ 10300/480000] base_lr: 1.9978e-04 lr: 5.3275e-05 eta: 12 days, 6:00:07 time: 2.2705 data_time: 0.1179 memory: 26581 grad_norm: 1.8724 loss: 2.0568 grounding_loss_reg: 8.9205 detection_loss_cls: 0.6265 detection_loss_reg: 1.0170 caption_loss_cls: 14.2147 instance_segmentation_loss_cls: 0.4948 instance_segmentation_loss_reg: 0.5338 instance_segmentation_loss_poly: 2.0871 semantic_segmentation_loss_cls: 0.1682 2023/09/30 21:53:36 - mmengine - INFO - Iter(train) [ 10400/480000] base_lr: 1.9977e-04 lr: 5.3274e-05 eta: 12 days, 6:03:27 time: 2.2657 data_time: 0.1179 memory: 26581 grad_norm: 1.8590 loss: 2.0585 grounding_loss_reg: 8.8827 detection_loss_cls: 0.6224 detection_loss_reg: 1.0156 caption_loss_cls: 14.0978 instance_segmentation_loss_cls: 0.4919 instance_segmentation_loss_reg: 0.5340 instance_segmentation_loss_poly: 2.0841 semantic_segmentation_loss_cls: 0.1667 2023/09/30 21:57:54 - mmengine - INFO - Iter(train) [ 10500/480000] base_lr: 1.9977e-04 lr: 5.3273e-05 eta: 12 days, 7:03:09 time: 2.2624 data_time: 0.1178 memory: 26581 grad_norm: 1.8535 loss: 2.0536 grounding_loss_reg: 8.8564 detection_loss_cls: 0.6173 detection_loss_reg: 1.0136 caption_loss_cls: 13.9947 instance_segmentation_loss_cls: 0.4886 instance_segmentation_loss_reg: 0.5314 instance_segmentation_loss_poly: 2.0751 semantic_segmentation_loss_cls: 0.1657 2023/09/30 21:57:54 - mmengine - INFO - Saving checkpoint at 10500 iterations 2023/09/30 22:02:53 - mmengine - INFO - Iter(train) [ 10600/480000] base_lr: 1.9976e-04 lr: 5.3272e-05 eta: 12 days, 9:17:36 time: 2.2999 data_time: 0.1329 memory: 26581 grad_norm: 1.8381 loss: 2.0443 grounding_loss_reg: 8.8228 detection_loss_cls: 0.6137 detection_loss_reg: 1.0101 caption_loss_cls: 13.8766 instance_segmentation_loss_cls: 0.4850 instance_segmentation_loss_reg: 0.5300 instance_segmentation_loss_poly: 2.0659 semantic_segmentation_loss_cls: 0.1645 2023/09/30 22:07:21 - mmengine - INFO - Iter(train) [ 10700/480000] base_lr: 1.9976e-04 lr: 5.3270e-05 eta: 12 days, 10:28:34 time: 2.3297 data_time: 0.1329 memory: 26581 grad_norm: 1.8206 loss: 2.0401 grounding_loss_reg: 8.7986 detection_loss_cls: 0.6095 detection_loss_reg: 1.0077 caption_loss_cls: 13.7856 instance_segmentation_loss_cls: 0.4810 instance_segmentation_loss_reg: 0.5277 instance_segmentation_loss_poly: 2.0560 semantic_segmentation_loss_cls: 0.1634 2023/09/30 22:10:59 - mmengine - INFO - Iter(train) [ 10800/480000] base_lr: 1.9975e-04 lr: 5.3269e-05 eta: 12 days, 10:04:51 time: 2.3445 data_time: 0.1329 memory: 25741 grad_norm: 1.8062 loss: 2.0378 grounding_loss_reg: 8.7762 detection_loss_cls: 0.6055 detection_loss_reg: 1.0051 caption_loss_cls: 13.6710 instance_segmentation_loss_cls: 0.4781 instance_segmentation_loss_reg: 0.5266 instance_segmentation_loss_poly: 2.0520 semantic_segmentation_loss_cls: 0.1619 2023/09/30 22:15:04 - mmengine - INFO - Iter(train) [ 10900/480000] base_lr: 1.9975e-04 lr: 5.3268e-05 eta: 12 days, 10:29:53 time: 2.3635 data_time: 0.1328 memory: 26581 grad_norm: 1.7949 loss: 2.0384 grounding_loss_reg: 8.7519 detection_loss_cls: 0.6022 detection_loss_reg: 1.0039 caption_loss_cls: 13.5714 instance_segmentation_loss_cls: 0.4748 instance_segmentation_loss_reg: 0.5248 instance_segmentation_loss_poly: 2.0442 semantic_segmentation_loss_cls: 0.1605 2023/09/30 22:18:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 22:18:58 - mmengine - INFO - Iter(train) [ 11000/480000] base_lr: 1.9974e-04 lr: 5.3267e-05 eta: 12 days, 10:35:18 time: 2.3766 data_time: 0.1328 memory: 26581 grad_norm: 1.7770 loss: 2.0433 grounding_loss_reg: 8.7084 detection_loss_cls: 0.5986 detection_loss_reg: 1.0016 caption_loss_cls: 13.4809 instance_segmentation_loss_cls: 0.4729 instance_segmentation_loss_reg: 0.5274 instance_segmentation_loss_poly: 2.0478 semantic_segmentation_loss_cls: 0.1589 2023/09/30 22:18:58 - mmengine - INFO - Saving checkpoint at 11000 iterations 2023/09/30 22:24:14 - mmengine - INFO - Iter(train) [ 11100/480000] base_lr: 1.9974e-04 lr: 5.3266e-05 eta: 12 days, 12:57:47 time: 2.3998 data_time: 0.1332 memory: 26581 grad_norm: 1.7652 loss: 2.0333 grounding_loss_reg: 8.6841 detection_loss_cls: 0.5940 detection_loss_reg: 0.9983 caption_loss_cls: 13.3938 instance_segmentation_loss_cls: 0.4696 instance_segmentation_loss_reg: 0.5249 instance_segmentation_loss_poly: 2.0379 semantic_segmentation_loss_cls: 0.1577 2023/09/30 22:28:29 - mmengine - INFO - Iter(train) [ 11200/480000] base_lr: 1.9973e-04 lr: 5.3264e-05 eta: 12 days, 13:34:44 time: 2.4180 data_time: 0.1333 memory: 26581 grad_norm: 1.7544 loss: 2.0242 grounding_loss_reg: 8.6737 detection_loss_cls: 0.5897 detection_loss_reg: 0.9938 caption_loss_cls: 13.3064 instance_segmentation_loss_cls: 0.4659 instance_segmentation_loss_reg: 0.5219 instance_segmentation_loss_poly: 2.0254 semantic_segmentation_loss_cls: 0.1565 2023/09/30 22:33:09 - mmengine - INFO - Iter(train) [ 11300/480000] base_lr: 1.9973e-04 lr: 5.3263e-05 eta: 12 days, 14:49:28 time: 2.4406 data_time: 0.1334 memory: 26581 grad_norm: 1.7419 loss: 2.0240 grounding_loss_reg: 8.6456 detection_loss_cls: 0.5857 detection_loss_reg: 0.9905 caption_loss_cls: 13.2205 instance_segmentation_loss_cls: 0.4614 instance_segmentation_loss_reg: 0.5197 instance_segmentation_loss_poly: 2.0134 semantic_segmentation_loss_cls: 0.1560 2023/09/30 22:36:56 - mmengine - INFO - Iter(train) [ 11400/480000] base_lr: 1.9972e-04 lr: 5.3262e-05 eta: 12 days, 14:36:10 time: 2.4478 data_time: 0.1333 memory: 25741 grad_norm: 1.7309 loss: 2.0177 grounding_loss_reg: 8.6216 detection_loss_cls: 0.5808 detection_loss_reg: 0.9867 caption_loss_cls: 13.1094 instance_segmentation_loss_cls: 0.4602 instance_segmentation_loss_reg: 0.5191 instance_segmentation_loss_poly: 2.0109 semantic_segmentation_loss_cls: 0.1551 2023/09/30 22:40:36 - mmengine - INFO - Iter(train) [ 11500/480000] base_lr: 1.9972e-04 lr: 5.3261e-05 eta: 12 days, 14:12:46 time: 2.4570 data_time: 0.1333 memory: 26581 grad_norm: 1.7188 loss: 2.0131 grounding_loss_reg: 8.6049 detection_loss_cls: 0.5781 detection_loss_reg: 0.9863 caption_loss_cls: 13.0104 instance_segmentation_loss_cls: 0.4576 instance_segmentation_loss_reg: 0.5174 instance_segmentation_loss_poly: 2.0039 semantic_segmentation_loss_cls: 0.1537 2023/09/30 22:40:36 - mmengine - INFO - Saving checkpoint at 11500 iterations 2023/09/30 22:46:00 - mmengine - INFO - Iter(train) [ 11600/480000] base_lr: 1.9971e-04 lr: 5.3259e-05 eta: 12 days, 16:30:01 time: 2.4723 data_time: 0.1336 memory: 26581 grad_norm: 1.7045 loss: 2.0144 grounding_loss_reg: 8.5799 detection_loss_cls: 0.5753 detection_loss_reg: 0.9854 caption_loss_cls: 12.9384 instance_segmentation_loss_cls: 0.4548 instance_segmentation_loss_reg: 0.5180 instance_segmentation_loss_poly: 1.9994 semantic_segmentation_loss_cls: 0.1524 2023/09/30 22:50:22 - mmengine - INFO - Iter(train) [ 11700/480000] base_lr: 1.9971e-04 lr: 5.3258e-05 eta: 12 days, 17:08:14 time: 2.4937 data_time: 0.1336 memory: 26581 grad_norm: 1.6978 loss: 2.0161 grounding_loss_reg: 8.5316 detection_loss_cls: 0.5717 detection_loss_reg: 0.9821 caption_loss_cls: 12.8711 instance_segmentation_loss_cls: 0.4514 instance_segmentation_loss_reg: 0.5166 instance_segmentation_loss_poly: 1.9921 semantic_segmentation_loss_cls: 0.1515 2023/09/30 22:54:44 - mmengine - INFO - Iter(train) [ 11800/480000] base_lr: 1.9970e-04 lr: 5.3257e-05 eta: 12 days, 17:44:57 time: 2.5063 data_time: 0.1336 memory: 26581 grad_norm: 1.6897 loss: 2.0173 grounding_loss_reg: 8.5000 detection_loss_cls: 0.5684 detection_loss_reg: 0.9805 caption_loss_cls: 12.8217 instance_segmentation_loss_cls: 0.4491 instance_segmentation_loss_reg: 0.5160 instance_segmentation_loss_poly: 1.9875 semantic_segmentation_loss_cls: 0.1498 2023/09/30 22:58:48 - mmengine - INFO - Iter(train) [ 11900/480000] base_lr: 1.9970e-04 lr: 5.3256e-05 eta: 12 days, 17:54:01 time: 2.5178 data_time: 0.1336 memory: 26581 grad_norm: 1.6815 loss: 2.0089 grounding_loss_reg: 8.4616 detection_loss_cls: 0.5649 detection_loss_reg: 0.9790 caption_loss_cls: 12.7364 instance_segmentation_loss_cls: 0.4463 instance_segmentation_loss_reg: 0.5140 instance_segmentation_loss_poly: 1.9794 semantic_segmentation_loss_cls: 0.1489 2023/09/30 23:03:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 23:03:39 - mmengine - INFO - Iter(train) [ 12000/480000] base_lr: 1.9969e-04 lr: 5.3254e-05 eta: 12 days, 19:09:06 time: 2.5358 data_time: 0.1337 memory: 26581 grad_norm: 1.6605 loss: 2.0001 grounding_loss_reg: 8.4359 detection_loss_cls: 0.5600 detection_loss_reg: 0.9743 caption_loss_cls: 12.6782 instance_segmentation_loss_cls: 0.4427 instance_segmentation_loss_reg: 0.5119 instance_segmentation_loss_poly: 1.9719 semantic_segmentation_loss_cls: 0.1481 2023/09/30 23:03:39 - mmengine - INFO - Saving checkpoint at 12000 iterations 2023/09/30 23:09:05 - mmengine - INFO - Iter(train) [ 12100/480000] base_lr: 1.9969e-04 lr: 5.3253e-05 eta: 12 days, 21:09:01 time: 2.5519 data_time: 0.1342 memory: 26581 grad_norm: 1.6452 loss: 1.9870 grounding_loss_reg: 8.4047 detection_loss_cls: 0.5571 detection_loss_reg: 0.9758 caption_loss_cls: 12.6265 instance_segmentation_loss_cls: 0.4402 instance_segmentation_loss_reg: 0.5096 instance_segmentation_loss_poly: 1.9632 semantic_segmentation_loss_cls: 0.1466 2023/09/30 23:13:09 - mmengine - INFO - Iter(train) [ 12200/480000] base_lr: 1.9968e-04 lr: 5.3252e-05 eta: 12 days, 21:13:54 time: 2.5582 data_time: 0.1342 memory: 26581 grad_norm: 1.6406 loss: 1.9705 grounding_loss_reg: 8.3784 detection_loss_cls: 0.5538 detection_loss_reg: 0.9726 caption_loss_cls: 12.5366 instance_segmentation_loss_cls: 0.4372 instance_segmentation_loss_reg: 0.5074 instance_segmentation_loss_poly: 1.9551 semantic_segmentation_loss_cls: 0.1458 2023/09/30 23:17:24 - mmengine - INFO - Iter(train) [ 12300/480000] base_lr: 1.9968e-04 lr: 5.3250e-05 eta: 12 days, 21:33:26 time: 2.5664 data_time: 0.1340 memory: 25741 grad_norm: 1.6365 loss: 1.9623 grounding_loss_reg: 8.3631 detection_loss_cls: 0.5506 detection_loss_reg: 0.9698 caption_loss_cls: 12.4684 instance_segmentation_loss_cls: 0.4340 instance_segmentation_loss_reg: 0.5052 instance_segmentation_loss_poly: 1.9479 semantic_segmentation_loss_cls: 0.1448 2023/09/30 23:21:47 - mmengine - INFO - Iter(train) [ 12400/480000] base_lr: 1.9967e-04 lr: 5.3249e-05 eta: 12 days, 22:01:22 time: 2.5733 data_time: 0.1340 memory: 25741 grad_norm: 1.6261 loss: 1.9570 grounding_loss_reg: 8.3477 detection_loss_cls: 0.5469 detection_loss_reg: 0.9677 caption_loss_cls: 12.4045 instance_segmentation_loss_cls: 0.4311 instance_segmentation_loss_reg: 0.5029 instance_segmentation_loss_poly: 1.9396 semantic_segmentation_loss_cls: 0.1443 2023/09/30 23:25:36 - mmengine - INFO - Iter(train) [ 12500/480000] base_lr: 1.9967e-04 lr: 5.3247e-05 eta: 12 days, 21:45:27 time: 2.5784 data_time: 0.1340 memory: 26581 grad_norm: 1.6267 loss: 1.9612 grounding_loss_reg: 8.3330 detection_loss_cls: 0.5448 detection_loss_reg: 0.9666 caption_loss_cls: 12.3202 instance_segmentation_loss_cls: 0.4288 instance_segmentation_loss_reg: 0.5018 instance_segmentation_loss_poly: 1.9327 semantic_segmentation_loss_cls: 0.1437 2023/09/30 23:25:36 - mmengine - INFO - Saving checkpoint at 12500 iterations 2023/09/30 23:30:33 - mmengine - INFO - Iter(train) [ 12600/480000] base_lr: 1.9966e-04 lr: 5.3246e-05 eta: 12 days, 22:55:31 time: 2.5852 data_time: 0.1341 memory: 26581 grad_norm: 1.6218 loss: 1.9575 grounding_loss_reg: 8.3018 detection_loss_cls: 0.5424 detection_loss_reg: 0.9672 caption_loss_cls: 12.2529 instance_segmentation_loss_cls: 0.4267 instance_segmentation_loss_reg: 0.5002 instance_segmentation_loss_poly: 1.9263 semantic_segmentation_loss_cls: 0.1424 2023/09/30 23:35:01 - mmengine - INFO - Iter(train) [ 12700/480000] base_lr: 1.9966e-04 lr: 5.3245e-05 eta: 12 days, 23:27:10 time: 2.5935 data_time: 0.1341 memory: 26581 grad_norm: 1.6130 loss: 1.9411 grounding_loss_reg: 8.2863 detection_loss_cls: 0.5388 detection_loss_reg: 0.9636 caption_loss_cls: 12.1909 instance_segmentation_loss_cls: 0.4242 instance_segmentation_loss_reg: 0.4992 instance_segmentation_loss_poly: 1.9180 semantic_segmentation_loss_cls: 0.1416 2023/09/30 23:39:27 - mmengine - INFO - Iter(train) [ 12800/480000] base_lr: 1.9965e-04 lr: 5.3243e-05 eta: 12 days, 23:55:33 time: 2.6030 data_time: 0.1341 memory: 26581 grad_norm: 1.6094 loss: 1.9371 grounding_loss_reg: 8.2654 detection_loss_cls: 0.5354 detection_loss_reg: 0.9608 caption_loss_cls: 12.1250 instance_segmentation_loss_cls: 0.4211 instance_segmentation_loss_reg: 0.4968 instance_segmentation_loss_poly: 1.9095 semantic_segmentation_loss_cls: 0.1409 2023/09/30 23:43:13 - mmengine - INFO - Iter(train) [ 12900/480000] base_lr: 1.9965e-04 lr: 5.3242e-05 eta: 12 days, 23:34:46 time: 2.6046 data_time: 0.1341 memory: 26581 grad_norm: 1.6068 loss: 1.9331 grounding_loss_reg: 8.2512 detection_loss_cls: 0.5332 detection_loss_reg: 0.9603 caption_loss_cls: 12.0418 instance_segmentation_loss_cls: 0.4197 instance_segmentation_loss_reg: 0.4968 instance_segmentation_loss_poly: 1.9062 semantic_segmentation_loss_cls: 0.1401 2023/09/30 23:47:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20230930_190106 2023/09/30 23:47:45 - mmengine - INFO - Iter(train) [ 13000/480000] base_lr: 1.9964e-04 lr: 5.3240e-05 eta: 13 days, 0:07:46 time: 2.6111 data_time: 0.1341 memory: 25741 grad_norm: 1.5953 loss: 1.9286 grounding_loss_reg: 8.2397 detection_loss_cls: 0.5304 detection_loss_reg: 0.9596 caption_loss_cls: 11.9936 instance_segmentation_loss_cls: 0.4168 instance_segmentation_loss_reg: 0.4953 instance_segmentation_loss_poly: 1.9005 semantic_segmentation_loss_cls: 0.1389 2023/09/30 23:47:45 - mmengine - INFO - Saving checkpoint at 13000 iterations 2023/09/30 23:52:48 - mmengine - INFO - Iter(train) [ 13100/480000] base_lr: 1.9964e-04 lr: 5.3239e-05 eta: 13 days, 1:17:22 time: 2.6156 data_time: 0.1347 memory: 26581 grad_norm: 1.5926 loss: 1.9298 grounding_loss_reg: 8.1956 detection_loss_cls: 0.5283 detection_loss_reg: 0.9580 caption_loss_cls: 11.9225 instance_segmentation_loss_cls: 0.4141 instance_segmentation_loss_reg: 0.4931 instance_segmentation_loss_poly: 1.8928 semantic_segmentation_loss_cls: 0.1383 2023/09/30 23:56:56 - mmengine - INFO - Iter(train) [ 13200/480000] base_lr: 1.9963e-04 lr: 5.3238e-05 eta: 13 days, 1:21:28 time: 2.6108 data_time: 0.1346 memory: 25741 grad_norm: 1.5830 loss: 1.9200 grounding_loss_reg: 8.1727 detection_loss_cls: 0.5251 detection_loss_reg: 0.9547 caption_loss_cls: 11.8746 instance_segmentation_loss_cls: 0.4122 instance_segmentation_loss_reg: 0.4917 instance_segmentation_loss_poly: 1.8872 semantic_segmentation_loss_cls: 0.1368 2023/10/01 00:00:53 - mmengine - INFO - Iter(train) [ 13300/480000] base_lr: 1.9963e-04 lr: 5.3236e-05 eta: 13 days, 1:11:47 time: 2.6128 data_time: 0.1346 memory: 25741 grad_norm: 1.5711 loss: 1.9127 grounding_loss_reg: 8.1587 detection_loss_cls: 0.5223 detection_loss_reg: 0.9530 caption_loss_cls: 11.8048 instance_segmentation_loss_cls: 0.4104 instance_segmentation_loss_reg: 0.4914 instance_segmentation_loss_poly: 1.8854 semantic_segmentation_loss_cls: 0.1358 2023/10/01 00:38:26 - mmengine - INFO - Iter(train) [ 13400/480000] base_lr: 1.9962e-04 lr: 5.3235e-05 eta: 8 days, 2:58:15 time: 2.5063 data_time: 0.1192 memory: 26558 grad_norm: 1.5704 loss: 1.9190 grounding_loss_reg: 8.1149 detection_loss_cls: 0.5209 detection_loss_reg: 0.9525 caption_loss_cls: 11.7413 instance_segmentation_loss_cls: 0.4068 instance_segmentation_loss_reg: 0.4909 instance_segmentation_loss_poly: 1.8754 semantic_segmentation_loss_cls: 0.1354 2023/10/01 00:41:23 - mmengine - INFO - Iter(train) [ 13500/480000] base_lr: 1.9961e-04 lr: 5.3233e-05 eta: 8 days, 9:43:09 time: 2.4871 data_time: 0.1192 memory: 26558 grad_norm: 1.5642 loss: 1.9116 grounding_loss_reg: 8.0904 detection_loss_cls: 0.4813 detection_loss_reg: 0.9322 caption_loss_cls: 11.6936 instance_segmentation_loss_cls: 0.4038 instance_segmentation_loss_reg: 0.4888 instance_segmentation_loss_poly: 1.8672 semantic_segmentation_loss_cls: 0.1345 2023/10/01 00:41:23 - mmengine - INFO - Saving checkpoint at 13500 iterations 2023/10/01 00:45:13 - mmengine - INFO - Iter(train) [ 13600/480000] base_lr: 1.9961e-04 lr: 5.3232e-05 eta: 9 days, 1:48:23 time: 2.4681 data_time: 0.1192 memory: 26558 grad_norm: 1.5531 loss: 1.8964 grounding_loss_reg: 8.0826 detection_loss_cls: 0.3827 detection_loss_reg: 0.8909 caption_loss_cls: 11.2253 instance_segmentation_loss_cls: 0.4019 instance_segmentation_loss_reg: 0.4883 instance_segmentation_loss_poly: 1.8627 semantic_segmentation_loss_cls: 0.1337 2023/10/01 00:48:19 - mmengine - INFO - Iter(train) [ 13700/480000] base_lr: 1.9960e-04 lr: 5.3230e-05 eta: 9 days, 5:08:51 time: 2.4567 data_time: 0.1193 memory: 26558 grad_norm: 1.5375 loss: 1.8963 grounding_loss_reg: 8.0653 detection_loss_cls: 0.3309 detection_loss_reg: 0.8652 caption_loss_cls: 10.9578 instance_segmentation_loss_cls: 0.4012 instance_segmentation_loss_reg: 0.4902 instance_segmentation_loss_poly: 1.8635 semantic_segmentation_loss_cls: 0.1329 2023/10/01 00:51:29 - mmengine - INFO - Iter(train) [ 13800/480000] base_lr: 1.9960e-04 lr: 5.3229e-05 eta: 9 days, 8:04:36 time: 2.4389 data_time: 0.1191 memory: 26558 grad_norm: 1.5298 loss: 1.8838 grounding_loss_reg: 8.0527 detection_loss_cls: 0.3064 detection_loss_reg: 0.8497 caption_loss_cls: 10.7073 instance_segmentation_loss_cls: 0.3983 instance_segmentation_loss_reg: 0.4879 instance_segmentation_loss_poly: 1.8549 semantic_segmentation_loss_cls: 0.1320 2023/10/01 00:54:40 - mmengine - INFO - Iter(train) [ 13900/480000] base_lr: 1.9959e-04 lr: 5.3227e-05 eta: 9 days, 10:44:34 time: 2.4293 data_time: 0.1191 memory: 26558 grad_norm: 1.5279 loss: 1.8835 grounding_loss_reg: 8.0164 detection_loss_cls: 0.2932 detection_loss_reg: 0.8394 caption_loss_cls: 10.5436 instance_segmentation_loss_cls: 0.3955 instance_segmentation_loss_reg: 0.4853 instance_segmentation_loss_poly: 1.8462 semantic_segmentation_loss_cls: 0.1311 2023/10/01 00:58:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_000225 2023/10/01 00:58:03 - mmengine - INFO - Iter(train) [ 14000/480000] base_lr: 1.9958e-04 lr: 5.3226e-05 eta: 9 days, 14:10:56 time: 2.4179 data_time: 0.1191 memory: 26558 grad_norm: 1.5258 loss: 1.8929 grounding_loss_reg: 7.9939 detection_loss_cls: 0.2712 detection_loss_reg: 0.8267 caption_loss_cls: 4.4891 instance_segmentation_loss_cls: 0.3934 instance_segmentation_loss_reg: 0.4845 instance_segmentation_loss_poly: 1.8427 semantic_segmentation_loss_cls: 0.1306 2023/10/01 00:58:03 - mmengine - INFO - Saving checkpoint at 14000 iterations 2023/10/01 01:02:40 - mmengine - INFO - Iter(train) [ 14100/480000] base_lr: 1.9958e-04 lr: 5.3224e-05 eta: 10 days, 1:50:05 time: 2.4179 data_time: 0.1190 memory: 26558 grad_norm: 1.5100 loss: 1.8794 grounding_loss_reg: 7.9761 detection_loss_cls: 0.2557 detection_loss_reg: 0.8091 caption_loss_cls: 4.3979 instance_segmentation_loss_cls: 0.3907 instance_segmentation_loss_reg: 0.4831 instance_segmentation_loss_poly: 1.8367 semantic_segmentation_loss_cls: 0.1301 2023/10/01 01:05:49 - mmengine - INFO - Iter(train) [ 14200/480000] base_lr: 1.9957e-04 lr: 5.3223e-05 eta: 10 days, 2:02:00 time: 2.3986 data_time: 0.1190 memory: 25719 grad_norm: 1.5067 loss: 1.8842 grounding_loss_reg: 7.9630 detection_loss_cls: 0.2422 detection_loss_reg: 0.8010 caption_loss_cls: 4.2964 instance_segmentation_loss_cls: 0.3884 instance_segmentation_loss_reg: 0.4813 instance_segmentation_loss_poly: 1.8294 semantic_segmentation_loss_cls: 0.1293 2023/10/01 01:09:27 - mmengine - INFO - Iter(train) [ 14300/480000] base_lr: 1.9957e-04 lr: 5.3221e-05 eta: 10 days, 5:03:39 time: 2.3850 data_time: 0.1189 memory: 26558 grad_norm: 1.4957 loss: 1.8832 grounding_loss_reg: 7.9451 detection_loss_cls: 0.2367 detection_loss_reg: 0.7932 caption_loss_cls: 4.2428 instance_segmentation_loss_cls: 0.3859 instance_segmentation_loss_reg: 0.4792 instance_segmentation_loss_poly: 1.8218 semantic_segmentation_loss_cls: 0.1284 2023/10/01 01:12:57 - mmengine - INFO - Iter(train) [ 14400/480000] base_lr: 1.9956e-04 lr: 5.3219e-05 eta: 10 days, 6:54:19 time: 2.3802 data_time: 0.1189 memory: 26558 grad_norm: 1.4910 loss: 1.8757 grounding_loss_reg: 7.9068 detection_loss_cls: 0.2308 detection_loss_reg: 0.7800 caption_loss_cls: 4.1961 instance_segmentation_loss_cls: 0.3840 instance_segmentation_loss_reg: 0.4783 instance_segmentation_loss_poly: 1.8176 semantic_segmentation_loss_cls: 0.1278 2023/10/01 01:16:37 - mmengine - INFO - Iter(train) [ 14500/480000] base_lr: 1.9955e-04 lr: 5.3218e-05 eta: 10 days, 9:23:37 time: 2.3709 data_time: 0.1189 memory: 26558 grad_norm: 1.4848 loss: 1.8745 grounding_loss_reg: 7.8821 detection_loss_cls: 0.2277 detection_loss_reg: 0.7752 caption_loss_cls: 4.1645 instance_segmentation_loss_cls: 0.3819 instance_segmentation_loss_reg: 0.4767 instance_segmentation_loss_poly: 1.8116 semantic_segmentation_loss_cls: 0.1272 2023/10/01 01:16:37 - mmengine - INFO - Saving checkpoint at 14500 iterations 2023/10/01 01:21:03 - mmengine - INFO - Iter(train) [ 14600/480000] base_lr: 1.9955e-04 lr: 5.3216e-05 eta: 10 days, 15:12:21 time: 2.3626 data_time: 0.1188 memory: 26558 grad_norm: 1.4783 loss: 1.8647 grounding_loss_reg: 7.8667 detection_loss_cls: 0.2234 detection_loss_reg: 0.7724 caption_loss_cls: 4.1243 instance_segmentation_loss_cls: 0.3806 instance_segmentation_loss_reg: 0.4764 instance_segmentation_loss_poly: 1.8102 semantic_segmentation_loss_cls: 0.1263 2023/10/01 01:24:41 - mmengine - INFO - Iter(train) [ 14700/480000] base_lr: 1.9954e-04 lr: 5.3215e-05 eta: 10 days, 16:42:19 time: 2.3500 data_time: 0.1188 memory: 26558 grad_norm: 1.4736 loss: 1.8690 grounding_loss_reg: 7.8310 detection_loss_cls: 0.2209 detection_loss_reg: 0.7682 caption_loss_cls: 4.0963 instance_segmentation_loss_cls: 0.3787 instance_segmentation_loss_reg: 0.4764 instance_segmentation_loss_poly: 1.8080 semantic_segmentation_loss_cls: 0.1257 2023/10/01 01:28:34 - mmengine - INFO - Iter(train) [ 14800/480000] base_lr: 1.9954e-04 lr: 5.3213e-05 eta: 10 days, 19:07:56 time: 2.3538 data_time: 0.1188 memory: 26558 grad_norm: 1.4647 loss: 1.8591 grounding_loss_reg: 7.8131 detection_loss_cls: 0.2185 detection_loss_reg: 0.7639 caption_loss_cls: 4.0683 instance_segmentation_loss_cls: 0.3767 instance_segmentation_loss_reg: 0.4748 instance_segmentation_loss_poly: 1.8010 semantic_segmentation_loss_cls: 0.1248 2023/10/01 01:32:33 - mmengine - INFO - Iter(train) [ 14900/480000] base_lr: 1.9953e-04 lr: 5.3211e-05 eta: 10 days, 21:41:07 time: 2.3523 data_time: 0.1189 memory: 26558 grad_norm: 1.4603 loss: 1.8522 grounding_loss_reg: 7.7951 detection_loss_cls: 0.2158 detection_loss_reg: 0.7619 caption_loss_cls: 4.0501 instance_segmentation_loss_cls: 0.3750 instance_segmentation_loss_reg: 0.4744 instance_segmentation_loss_poly: 1.7981 semantic_segmentation_loss_cls: 0.1242 2023/10/01 01:36:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_000225 2023/10/01 01:36:04 - mmengine - INFO - Iter(train) [ 15000/480000] base_lr: 1.9952e-04 lr: 5.3210e-05 eta: 10 days, 22:11:28 time: 2.3465 data_time: 0.1188 memory: 26558 grad_norm: 1.4525 loss: 1.8350 grounding_loss_reg: 7.7763 detection_loss_cls: 0.2143 detection_loss_reg: 0.7604 caption_loss_cls: 4.0213 instance_segmentation_loss_cls: 0.3730 instance_segmentation_loss_reg: 0.4733 instance_segmentation_loss_poly: 1.7943 semantic_segmentation_loss_cls: 0.1234 2023/10/01 01:36:04 - mmengine - INFO - Saving checkpoint at 15000 iterations 2023/10/01 01:40:40 - mmengine - INFO - Iter(train) [ 15100/480000] base_lr: 1.9952e-04 lr: 5.3208e-05 eta: 11 days, 2:35:39 time: 2.3365 data_time: 0.1180 memory: 26558 grad_norm: 1.4475 loss: 1.8347 grounding_loss_reg: 7.7729 detection_loss_cls: 0.2122 detection_loss_reg: 0.7575 caption_loss_cls: 4.0000 instance_segmentation_loss_cls: 0.3718 instance_segmentation_loss_reg: 0.4722 instance_segmentation_loss_poly: 1.7906 semantic_segmentation_loss_cls: 0.1226 2023/10/01 01:44:26 - mmengine - INFO - Iter(train) [ 15200/480000] base_lr: 1.9951e-04 lr: 5.3206e-05 eta: 11 days, 3:42:14 time: 2.3292 data_time: 0.1180 memory: 26558 grad_norm: 1.4470 loss: 1.8371 grounding_loss_reg: 7.7498 detection_loss_cls: 0.2110 detection_loss_reg: 0.7575 caption_loss_cls: 3.9772 instance_segmentation_loss_cls: 0.3699 instance_segmentation_loss_reg: 0.4717 instance_segmentation_loss_poly: 1.7865 semantic_segmentation_loss_cls: 0.1217 2023/10/01 01:48:17 - mmengine - INFO - Iter(train) [ 15300/480000] base_lr: 1.9950e-04 lr: 5.3205e-05 eta: 11 days, 4:58:20 time: 2.3170 data_time: 0.1179 memory: 25719 grad_norm: 1.4388 loss: 1.8344 grounding_loss_reg: 7.7203 detection_loss_cls: 0.2103 detection_loss_reg: 0.7570 caption_loss_cls: 3.9634 instance_segmentation_loss_cls: 0.3677 instance_segmentation_loss_reg: 0.4701 instance_segmentation_loss_poly: 1.7807 semantic_segmentation_loss_cls: 0.1209 2023/10/01 01:51:51 - mmengine - INFO - Iter(train) [ 15400/480000] base_lr: 1.9950e-04 lr: 5.3203e-05 eta: 11 days, 5:13:22 time: 2.3138 data_time: 0.1180 memory: 25719 grad_norm: 1.4362 loss: 1.8416 grounding_loss_reg: 7.6981 detection_loss_cls: 0.2093 detection_loss_reg: 0.7561 caption_loss_cls: 3.9512 instance_segmentation_loss_cls: 0.3657 instance_segmentation_loss_reg: 0.4688 instance_segmentation_loss_poly: 1.7755 semantic_segmentation_loss_cls: 0.1204 2023/10/01 01:55:42 - mmengine - INFO - Iter(train) [ 15500/480000] base_lr: 1.9949e-04 lr: 5.3201e-05 eta: 11 days, 6:18:01 time: 2.3165 data_time: 0.1179 memory: 25719 grad_norm: 1.4281 loss: 1.8271 grounding_loss_reg: 7.6981 detection_loss_cls: 0.2075 detection_loss_reg: 0.7537 caption_loss_cls: 3.9396 instance_segmentation_loss_cls: 0.3642 instance_segmentation_loss_reg: 0.4676 instance_segmentation_loss_poly: 1.7711 semantic_segmentation_loss_cls: 0.1199 2023/10/01 01:55:42 - mmengine - INFO - Saving checkpoint at 15500 iterations 2023/10/01 02:00:26 - mmengine - INFO - Iter(train) [ 15600/480000] base_lr: 1.9948e-04 lr: 5.3200e-05 eta: 11 days, 9:57:54 time: 2.3065 data_time: 0.1174 memory: 26558 grad_norm: 1.4313 loss: 1.8263 grounding_loss_reg: 7.6880 detection_loss_cls: 0.2059 detection_loss_reg: 0.7509 caption_loss_cls: 3.9250 instance_segmentation_loss_cls: 0.3622 instance_segmentation_loss_reg: 0.4660 instance_segmentation_loss_poly: 1.7656 semantic_segmentation_loss_cls: 0.1194 2023/10/01 02:04:50 - mmengine - INFO - Iter(train) [ 15700/480000] base_lr: 1.9948e-04 lr: 5.3198e-05 eta: 11 days, 12:22:58 time: 2.3071 data_time: 0.1174 memory: 26558 grad_norm: 1.4267 loss: 1.8222 grounding_loss_reg: 7.6729 detection_loss_cls: 0.2046 detection_loss_reg: 0.7496 caption_loss_cls: 3.8849 instance_segmentation_loss_cls: 0.3608 instance_segmentation_loss_reg: 0.4660 instance_segmentation_loss_poly: 1.7625 semantic_segmentation_loss_cls: 0.1190 2023/10/01 02:08:40 - mmengine - INFO - Iter(train) [ 15800/480000] base_lr: 1.9947e-04 lr: 5.3196e-05 eta: 11 days, 13:01:46 time: 2.2989 data_time: 0.1173 memory: 26558 grad_norm: 1.4308 loss: 1.8268 grounding_loss_reg: 7.6510 detection_loss_cls: 0.2026 detection_loss_reg: 0.7450 caption_loss_cls: 3.8772 instance_segmentation_loss_cls: 0.3594 instance_segmentation_loss_reg: 0.4649 instance_segmentation_loss_poly: 1.7581 semantic_segmentation_loss_cls: 0.1184 2023/10/01 02:12:29 - mmengine - INFO - Iter(train) [ 15900/480000] base_lr: 1.9946e-04 lr: 5.3194e-05 eta: 11 days, 13:35:25 time: 2.2951 data_time: 0.1173 memory: 26558 grad_norm: 1.4219 loss: 1.8185 grounding_loss_reg: 7.6322 detection_loss_cls: 0.2009 detection_loss_reg: 0.7413 caption_loss_cls: 3.8628 instance_segmentation_loss_cls: 0.3579 instance_segmentation_loss_reg: 0.4640 instance_segmentation_loss_poly: 1.7552 semantic_segmentation_loss_cls: 0.1174 2023/10/01 02:16:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_000225 2023/10/01 02:16:30 - mmengine - INFO - Iter(train) [ 16000/480000] base_lr: 1.9946e-04 lr: 5.3193e-05 eta: 11 days, 14:38:05 time: 2.2826 data_time: 0.1173 memory: 26558 grad_norm: 1.4271 loss: 1.8265 grounding_loss_reg: 7.6206 detection_loss_cls: 0.1995 detection_loss_reg: 0.7385 caption_loss_cls: 3.8567 instance_segmentation_loss_cls: 0.3561 instance_segmentation_loss_reg: 0.4627 instance_segmentation_loss_poly: 1.7499 semantic_segmentation_loss_cls: 0.1169 2023/10/01 02:16:30 - mmengine - INFO - Saving checkpoint at 16000 iterations 2023/10/01 02:21:42 - mmengine - INFO - Iter(train) [ 16100/480000] base_lr: 1.9945e-04 lr: 5.3191e-05 eta: 11 days, 18:33:30 time: 2.2793 data_time: 0.1170 memory: 26558 grad_norm: 1.4505 loss: 1.8407 grounding_loss_reg: 7.5976 detection_loss_cls: 0.1977 detection_loss_reg: 0.7341 caption_loss_cls: 3.8379 instance_segmentation_loss_cls: 0.3540 instance_segmentation_loss_reg: 0.4618 instance_segmentation_loss_poly: 1.7466 semantic_segmentation_loss_cls: 0.1165 2023/10/01 02:25:15 - mmengine - INFO - Iter(train) [ 16200/480000] base_lr: 1.9944e-04 lr: 5.3189e-05 eta: 11 days, 18:14:25 time: 2.2715 data_time: 0.1169 memory: 26558 grad_norm: 1.4440 loss: 1.8393 grounding_loss_reg: 7.5822 detection_loss_cls: 0.1963 detection_loss_reg: 0.7324 caption_loss_cls: 3.8244 instance_segmentation_loss_cls: 0.3527 instance_segmentation_loss_reg: 0.4611 instance_segmentation_loss_poly: 1.7435 semantic_segmentation_loss_cls: 0.1160 2023/10/01 02:29:31 - mmengine - INFO - Iter(train) [ 16300/480000] base_lr: 1.9944e-04 lr: 5.3187e-05 eta: 11 days, 19:38:23 time: 2.2717 data_time: 0.1170 memory: 26558 grad_norm: 1.4390 loss: 1.8404 grounding_loss_reg: 7.5736 detection_loss_cls: 0.1954 detection_loss_reg: 0.7337 caption_loss_cls: 3.8188 instance_segmentation_loss_cls: 0.3506 instance_segmentation_loss_reg: 0.4597 instance_segmentation_loss_poly: 1.7381 semantic_segmentation_loss_cls: 0.1155 2023/10/01 02:33:17 - mmengine - INFO - Iter(train) [ 16400/480000] base_lr: 1.9943e-04 lr: 5.3186e-05 eta: 11 days, 19:46:25 time: 2.2625 data_time: 0.1169 memory: 26558 grad_norm: 1.4373 loss: 1.8462 grounding_loss_reg: 7.5580 detection_loss_cls: 0.1931 detection_loss_reg: 0.7346 caption_loss_cls: 3.8001 instance_segmentation_loss_cls: 0.3494 instance_segmentation_loss_reg: 0.4592 instance_segmentation_loss_poly: 1.7363 semantic_segmentation_loss_cls: 0.1149 2023/10/01 02:37:20 - mmengine - INFO - Iter(train) [ 16500/480000] base_lr: 1.9942e-04 lr: 5.3184e-05 eta: 11 days, 20:34:21 time: 2.2660 data_time: 0.1169 memory: 26558 grad_norm: 1.4245 loss: 1.8384 grounding_loss_reg: 7.5326 detection_loss_cls: 0.1918 detection_loss_reg: 0.7338 caption_loss_cls: 3.7701 instance_segmentation_loss_cls: 0.3476 instance_segmentation_loss_reg: 0.4581 instance_segmentation_loss_poly: 1.7314 semantic_segmentation_loss_cls: 0.1140 2023/10/01 02:37:20 - mmengine - INFO - Saving checkpoint at 16500 iterations 2023/10/01 02:42:01 - mmengine - INFO - Iter(train) [ 16600/480000] base_lr: 1.9942e-04 lr: 5.3182e-05 eta: 11 days, 22:38:21 time: 2.2620 data_time: 0.1167 memory: 26558 grad_norm: 1.4248 loss: 1.8503 grounding_loss_reg: 7.5167 detection_loss_cls: 0.1916 detection_loss_reg: 0.7364 caption_loss_cls: 3.7561 instance_segmentation_loss_cls: 0.3464 instance_segmentation_loss_reg: 0.4574 instance_segmentation_loss_poly: 1.7284 semantic_segmentation_loss_cls: 0.1136 2023/10/01 02:46:21 - mmengine - INFO - Iter(train) [ 16700/480000] base_lr: 1.9941e-04 lr: 5.3180e-05 eta: 11 days, 23:52:09 time: 2.2600 data_time: 0.1167 memory: 26558 grad_norm: 1.4222 loss: 1.8511 grounding_loss_reg: 7.5158 detection_loss_cls: 0.1897 detection_loss_reg: 0.7359 caption_loss_cls: 3.7462 instance_segmentation_loss_cls: 0.3448 instance_segmentation_loss_reg: 0.4575 instance_segmentation_loss_poly: 1.7267 semantic_segmentation_loss_cls: 0.1131 2023/10/01 02:50:43 - mmengine - INFO - Iter(train) [ 16800/480000] base_lr: 1.9940e-04 lr: 5.3178e-05 eta: 12 days, 1:07:32 time: 2.2591 data_time: 0.1167 memory: 26558 grad_norm: 1.4179 loss: 1.8485 grounding_loss_reg: 7.5086 detection_loss_cls: 0.1886 detection_loss_reg: 0.7344 caption_loss_cls: 3.7401 instance_segmentation_loss_cls: 0.3433 instance_segmentation_loss_reg: 0.4575 instance_segmentation_loss_poly: 1.7259 semantic_segmentation_loss_cls: 0.1128 2023/10/01 02:54:34 - mmengine - INFO - Iter(train) [ 16900/480000] base_lr: 1.9940e-04 lr: 5.3177e-05 eta: 12 days, 1:15:30 time: 2.2602 data_time: 0.1167 memory: 26558 grad_norm: 1.4106 loss: 1.8423 grounding_loss_reg: 7.4894 detection_loss_cls: 0.1867 detection_loss_reg: 0.7305 caption_loss_cls: 3.7319 instance_segmentation_loss_cls: 0.3431 instance_segmentation_loss_reg: 0.4588 instance_segmentation_loss_poly: 1.7255 semantic_segmentation_loss_cls: 0.1123 2023/10/01 02:58:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_000225 2023/10/01 02:58:42 - mmengine - INFO - Iter(train) [ 17000/480000] base_lr: 1.9939e-04 lr: 5.3175e-05 eta: 12 days, 1:56:05 time: 2.2544 data_time: 0.1166 memory: 26558 grad_norm: 1.4126 loss: 1.8437 grounding_loss_reg: 7.4748 detection_loss_cls: 0.1842 detection_loss_reg: 0.7276 caption_loss_cls: 3.7219 instance_segmentation_loss_cls: 0.3417 instance_segmentation_loss_reg: 0.4575 instance_segmentation_loss_poly: 1.7212 semantic_segmentation_loss_cls: 0.1119 2023/10/01 02:58:42 - mmengine - INFO - Saving checkpoint at 17000 iterations 2023/10/01 03:03:39 - mmengine - INFO - Iter(train) [ 17100/480000] base_lr: 1.9938e-04 lr: 5.3173e-05 eta: 12 days, 4:07:56 time: 2.2913 data_time: 0.1313 memory: 26558 grad_norm: 1.4072 loss: 1.8417 grounding_loss_reg: 7.4593 detection_loss_cls: 0.1835 detection_loss_reg: 0.7265 caption_loss_cls: 3.6585 instance_segmentation_loss_cls: 0.3401 instance_segmentation_loss_reg: 0.4566 instance_segmentation_loss_poly: 1.7173 semantic_segmentation_loss_cls: 0.1114 2023/10/01 03:07:58 - mmengine - INFO - Iter(train) [ 17200/480000] base_lr: 1.9937e-04 lr: 5.3171e-05 eta: 12 days, 5:01:57 time: 2.3197 data_time: 0.1313 memory: 26558 grad_norm: 1.4050 loss: 1.8424 grounding_loss_reg: 7.4456 detection_loss_cls: 0.1824 detection_loss_reg: 0.7241 caption_loss_cls: 3.6459 instance_segmentation_loss_cls: 0.3386 instance_segmentation_loss_reg: 0.4559 instance_segmentation_loss_poly: 1.7144 semantic_segmentation_loss_cls: 0.1110 2023/10/01 03:11:45 - mmengine - INFO - Iter(train) [ 17300/480000] base_lr: 1.9937e-04 lr: 5.3169e-05 eta: 12 days, 4:57:03 time: 2.3388 data_time: 0.1312 memory: 25719 grad_norm: 1.4024 loss: 1.8290 grounding_loss_reg: 7.4303 detection_loss_cls: 0.1815 detection_loss_reg: 0.7223 caption_loss_cls: 3.6323 instance_segmentation_loss_cls: 0.3373 instance_segmentation_loss_reg: 0.4551 instance_segmentation_loss_poly: 1.7110 semantic_segmentation_loss_cls: 0.1104 2023/10/01 03:15:44 - mmengine - INFO - Iter(train) [ 17400/480000] base_lr: 1.9936e-04 lr: 5.3167e-05 eta: 12 days, 5:11:32 time: 2.3594 data_time: 0.1312 memory: 26558 grad_norm: 1.4036 loss: 1.8341 grounding_loss_reg: 7.4185 detection_loss_cls: 0.1804 detection_loss_reg: 0.7196 caption_loss_cls: 3.6184 instance_segmentation_loss_cls: 0.3361 instance_segmentation_loss_reg: 0.4543 instance_segmentation_loss_poly: 1.7080 semantic_segmentation_loss_cls: 0.1102 2023/10/01 03:19:30 - mmengine - INFO - Iter(train) [ 17500/480000] base_lr: 1.9935e-04 lr: 5.3165e-05 eta: 12 days, 5:04:35 time: 2.3718 data_time: 0.1312 memory: 26558 grad_norm: 1.4000 loss: 1.8382 grounding_loss_reg: 7.3944 detection_loss_cls: 0.1801 detection_loss_reg: 0.7190 caption_loss_cls: 3.6107 instance_segmentation_loss_cls: 0.3351 instance_segmentation_loss_reg: 0.4544 instance_segmentation_loss_poly: 1.7063 semantic_segmentation_loss_cls: 0.1096 2023/10/01 03:19:30 - mmengine - INFO - Saving checkpoint at 17500 iterations 2023/10/01 03:24:37 - mmengine - INFO - Iter(train) [ 17600/480000] base_lr: 1.9934e-04 lr: 5.3163e-05 eta: 12 days, 7:13:17 time: 2.3910 data_time: 0.1308 memory: 26558 grad_norm: 1.3940 loss: 1.8439 grounding_loss_reg: 7.3876 detection_loss_cls: 0.1797 detection_loss_reg: 0.7187 caption_loss_cls: 3.6072 instance_segmentation_loss_cls: 0.3338 instance_segmentation_loss_reg: 0.4537 instance_segmentation_loss_poly: 1.7037 semantic_segmentation_loss_cls: 0.1091 2023/10/01 03:28:52 - mmengine - INFO - Iter(train) [ 17700/480000] base_lr: 1.9934e-04 lr: 5.3161e-05 eta: 12 days, 7:51:02 time: 2.4082 data_time: 0.1307 memory: 26558 grad_norm: 1.3923 loss: 1.8371 grounding_loss_reg: 7.3830 detection_loss_cls: 0.1792 detection_loss_reg: 0.7187 caption_loss_cls: 3.6025 instance_segmentation_loss_cls: 0.3324 instance_segmentation_loss_reg: 0.4529 instance_segmentation_loss_poly: 1.6993 semantic_segmentation_loss_cls: 0.1086 2023/10/01 03:33:28 - mmengine - INFO - Iter(train) [ 17800/480000] base_lr: 1.9933e-04 lr: 5.3159e-05 eta: 12 days, 9:00:03 time: 2.4299 data_time: 0.1308 memory: 26558 grad_norm: 1.3907 loss: 1.8411 grounding_loss_reg: 7.3672 detection_loss_cls: 0.1790 detection_loss_reg: 0.7200 caption_loss_cls: 3.5961 instance_segmentation_loss_cls: 0.3305 instance_segmentation_loss_reg: 0.4518 instance_segmentation_loss_poly: 1.6955 semantic_segmentation_loss_cls: 0.1084 2023/10/01 03:37:07 - mmengine - INFO - Iter(train) [ 17900/480000] base_lr: 1.9932e-04 lr: 5.3157e-05 eta: 12 days, 8:35:53 time: 2.4365 data_time: 0.1307 memory: 25719 grad_norm: 1.3882 loss: 1.8353 grounding_loss_reg: 7.3508 detection_loss_cls: 0.1776 detection_loss_reg: 0.7171 caption_loss_cls: 3.5849 instance_segmentation_loss_cls: 0.3299 instance_segmentation_loss_reg: 0.4512 instance_segmentation_loss_poly: 1.6934 semantic_segmentation_loss_cls: 0.1080 2023/10/01 03:40:47 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_000225 2023/10/01 03:40:47 - mmengine - INFO - Iter(train) [ 18000/480000] base_lr: 1.9931e-04 lr: 5.3155e-05 eta: 12 days, 8:14:57 time: 2.4410 data_time: 0.1307 memory: 26558 grad_norm: 1.3829 loss: 1.8323 grounding_loss_reg: 7.3422 detection_loss_cls: 0.1771 detection_loss_reg: 0.7165 caption_loss_cls: 3.5755 instance_segmentation_loss_cls: 0.3289 instance_segmentation_loss_reg: 0.4506 instance_segmentation_loss_poly: 1.6913 semantic_segmentation_loss_cls: 0.1074 2023/10/01 03:40:47 - mmengine - INFO - Saving checkpoint at 18000 iterations 2023/10/01 03:46:12 - mmengine - INFO - Iter(train) [ 18100/480000] base_lr: 1.9931e-04 lr: 5.3153e-05 eta: 12 days, 10:33:52 time: 2.4530 data_time: 0.1301 memory: 26558 grad_norm: 1.3807 loss: 1.8331 grounding_loss_reg: 7.3299 detection_loss_cls: 0.1767 detection_loss_reg: 0.7163 caption_loss_cls: 3.5678 instance_segmentation_loss_cls: 0.3276 instance_segmentation_loss_reg: 0.4507 instance_segmentation_loss_poly: 1.6890 semantic_segmentation_loss_cls: 0.1068 2023/10/01 03:50:34 - mmengine - INFO - Iter(train) [ 18200/480000] base_lr: 1.9930e-04 lr: 5.3151e-05 eta: 12 days, 11:12:48 time: 2.4711 data_time: 0.1302 memory: 26558 grad_norm: 1.3757 loss: 1.8390 grounding_loss_reg: 7.3077 detection_loss_cls: 0.1760 detection_loss_reg: 0.7147 caption_loss_cls: 3.5627 instance_segmentation_loss_cls: 0.3262 instance_segmentation_loss_reg: 0.4510 instance_segmentation_loss_poly: 1.6890 semantic_segmentation_loss_cls: 0.1064 2023/10/01 03:54:57 - mmengine - INFO - Iter(train) [ 18300/480000] base_lr: 1.9929e-04 lr: 5.3149e-05 eta: 12 days, 11:51:56 time: 2.4824 data_time: 0.1302 memory: 26558 grad_norm: 1.3732 loss: 1.8387 grounding_loss_reg: 7.2970 detection_loss_cls: 0.1754 detection_loss_reg: 0.7131 caption_loss_cls: 3.5625 instance_segmentation_loss_cls: 0.3252 instance_segmentation_loss_reg: 0.4508 instance_segmentation_loss_poly: 1.6875 semantic_segmentation_loss_cls: 0.1057 2023/10/01 03:59:00 - mmengine - INFO - Iter(train) [ 18400/480000] base_lr: 1.9928e-04 lr: 5.3147e-05 eta: 12 days, 12:01:00 time: 2.4906 data_time: 0.1302 memory: 26558 grad_norm: 1.3678 loss: 1.8361 grounding_loss_reg: 7.2877 detection_loss_cls: 0.1748 detection_loss_reg: 0.7135 caption_loss_cls: 3.5523 instance_segmentation_loss_cls: 0.3241 instance_segmentation_loss_reg: 0.4503 instance_segmentation_loss_poly: 1.6847 semantic_segmentation_loss_cls: 0.1053 2023/10/01 04:03:45 - mmengine - INFO - Iter(train) [ 18500/480000] base_lr: 1.9928e-04 lr: 5.3145e-05 eta: 12 days, 13:08:59 time: 2.5068 data_time: 0.1302 memory: 26558 grad_norm: 1.3599 loss: 1.8285 grounding_loss_reg: 7.2765 detection_loss_cls: 0.1740 detection_loss_reg: 0.7122 caption_loss_cls: 3.5465 instance_segmentation_loss_cls: 0.3227 instance_segmentation_loss_reg: 0.4493 instance_segmentation_loss_poly: 1.6796 semantic_segmentation_loss_cls: 0.1050 2023/10/01 04:03:45 - mmengine - INFO - Saving checkpoint at 18500 iterations 2023/10/01 04:09:15 - mmengine - INFO - Iter(train) [ 18600/480000] base_lr: 1.9927e-04 lr: 5.3143e-05 eta: 12 days, 15:15:08 time: 2.5229 data_time: 0.1303 memory: 26558 grad_norm: 1.3523 loss: 1.8251 grounding_loss_reg: 7.2655 detection_loss_cls: 0.1733 detection_loss_reg: 0.7102 caption_loss_cls: 3.5442 instance_segmentation_loss_cls: 0.3220 instance_segmentation_loss_reg: 0.4490 instance_segmentation_loss_poly: 1.6778 semantic_segmentation_loss_cls: 0.1043 2023/10/01 04:13:20 - mmengine - INFO - Iter(train) [ 18700/480000] base_lr: 1.9926e-04 lr: 5.3141e-05 eta: 12 days, 15:23:21 time: 2.5298 data_time: 0.1303 memory: 26558 grad_norm: 1.3490 loss: 1.8166 grounding_loss_reg: 7.2575 detection_loss_cls: 0.1722 detection_loss_reg: 0.7062 caption_loss_cls: 3.5336 instance_segmentation_loss_cls: 0.3209 instance_segmentation_loss_reg: 0.4480 instance_segmentation_loss_poly: 1.6734 semantic_segmentation_loss_cls: 0.1040 2023/10/01 04:17:34 - mmengine - INFO - Iter(train) [ 18800/480000] base_lr: 1.9925e-04 lr: 5.3139e-05 eta: 12 days, 15:42:14 time: 2.5350 data_time: 0.1303 memory: 25719 grad_norm: 1.3495 loss: 1.8138 grounding_loss_reg: 7.2496 detection_loss_cls: 0.1711 detection_loss_reg: 0.7028 caption_loss_cls: 3.5313 instance_segmentation_loss_cls: 0.3193 instance_segmentation_loss_reg: 0.4464 instance_segmentation_loss_poly: 1.6680 semantic_segmentation_loss_cls: 0.1035 2023/10/01 04:22:02 - mmengine - INFO - Iter(train) [ 18900/480000] base_lr: 1.9924e-04 lr: 5.3137e-05 eta: 12 days, 16:18:03 time: 2.5422 data_time: 0.1302 memory: 25719 grad_norm: 1.3433 loss: 1.8028 grounding_loss_reg: 7.2404 detection_loss_cls: 0.1703 detection_loss_reg: 0.7009 caption_loss_cls: 3.5213 instance_segmentation_loss_cls: 0.3180 instance_segmentation_loss_reg: 0.4453 instance_segmentation_loss_poly: 1.6636 semantic_segmentation_loss_cls: 0.1032 2023/10/01 04:25:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_000225 2023/10/01 04:25:53 - mmengine - INFO - Iter(train) [ 19000/480000] base_lr: 1.9924e-04 lr: 5.3135e-05 eta: 12 days, 16:06:15 time: 2.5472 data_time: 0.1302 memory: 26558 grad_norm: 1.3417 loss: 1.8067 grounding_loss_reg: 7.2325 detection_loss_cls: 0.1700 detection_loss_reg: 0.7013 caption_loss_cls: 3.5104 instance_segmentation_loss_cls: 0.3167 instance_segmentation_loss_reg: 0.4443 instance_segmentation_loss_poly: 1.6599 semantic_segmentation_loss_cls: 0.1026 2023/10/01 04:25:53 - mmengine - INFO - Saving checkpoint at 19000 iterations 2023/10/01 04:30:49 - mmengine - INFO - Iter(train) [ 19100/480000] base_lr: 1.9923e-04 lr: 5.3133e-05 eta: 12 days, 17:15:28 time: 2.5523 data_time: 0.1302 memory: 26558 grad_norm: 1.3356 loss: 1.8028 grounding_loss_reg: 7.2242 detection_loss_cls: 0.1700 detection_loss_reg: 0.7030 caption_loss_cls: 3.5051 instance_segmentation_loss_cls: 0.3159 instance_segmentation_loss_reg: 0.4443 instance_segmentation_loss_poly: 1.6592 semantic_segmentation_loss_cls: 0.1021 2023/10/01 04:35:19 - mmengine - INFO - Iter(train) [ 19200/480000] base_lr: 1.9922e-04 lr: 5.3131e-05 eta: 12 days, 17:50:43 time: 2.5632 data_time: 0.1302 memory: 26558 grad_norm: 1.3291 loss: 1.7970 grounding_loss_reg: 7.2165 detection_loss_cls: 0.1694 detection_loss_reg: 0.7006 caption_loss_cls: 3.5031 instance_segmentation_loss_cls: 0.3147 instance_segmentation_loss_reg: 0.4435 instance_segmentation_loss_poly: 1.6559 semantic_segmentation_loss_cls: 0.1016 2023/10/01 04:39:44 - mmengine - INFO - Iter(train) [ 19300/480000] base_lr: 1.9921e-04 lr: 5.3129e-05 eta: 12 days, 18:18:33 time: 2.5717 data_time: 0.1302 memory: 26558 grad_norm: 1.3303 loss: 1.8020 grounding_loss_reg: 7.2056 detection_loss_cls: 0.1687 detection_loss_reg: 0.6989 caption_loss_cls: 3.4976 instance_segmentation_loss_cls: 0.3133 instance_segmentation_loss_reg: 0.4426 instance_segmentation_loss_poly: 1.6523 semantic_segmentation_loss_cls: 0.1014 2023/10/01 04:43:38 - mmengine - INFO - Iter(train) [ 19400/480000] base_lr: 1.9920e-04 lr: 5.3127e-05 eta: 12 days, 18:08:16 time: 2.5767 data_time: 0.1302 memory: 26558 grad_norm: 1.3271 loss: 1.7962 grounding_loss_reg: 7.1984 detection_loss_cls: 0.1683 detection_loss_reg: 0.6988 caption_loss_cls: 3.4877 instance_segmentation_loss_cls: 0.3125 instance_segmentation_loss_reg: 0.4423 instance_segmentation_loss_poly: 1.6504 semantic_segmentation_loss_cls: 0.1010 2023/10/01 04:48:12 - mmengine - INFO - Iter(train) [ 19500/480000] base_lr: 1.9919e-04 lr: 5.3125e-05 eta: 12 days, 18:45:25 time: 2.5876 data_time: 0.1302 memory: 25719 grad_norm: 1.3195 loss: 1.7936 grounding_loss_reg: 7.1944 detection_loss_cls: 0.1676 detection_loss_reg: 0.6981 caption_loss_cls: 3.4841 instance_segmentation_loss_cls: 0.1973 instance_segmentation_loss_reg: 0.4164 instance_segmentation_loss_poly: 1.5489 semantic_segmentation_loss_cls: 0.1005 2023/10/01 04:48:12 - mmengine - INFO - Saving checkpoint at 19500 iterations 2023/10/01 04:53:07 - mmengine - INFO - Iter(train) [ 19600/480000] base_lr: 1.9919e-04 lr: 5.3122e-05 eta: 12 days, 19:45:17 time: 2.5902 data_time: 0.1298 memory: 26558 grad_norm: 1.3157 loss: 1.7948 grounding_loss_reg: 7.1619 detection_loss_cls: 0.1668 detection_loss_reg: 0.6963 caption_loss_cls: 3.4825 instance_segmentation_loss_cls: 0.1818 instance_segmentation_loss_reg: 0.4070 instance_segmentation_loss_poly: 1.5017 semantic_segmentation_loss_cls: 0.1001 2023/10/01 04:57:12 - mmengine - INFO - Iter(train) [ 19700/480000] base_lr: 1.9918e-04 lr: 5.3120e-05 eta: 12 days, 19:45:47 time: 2.5852 data_time: 0.1298 memory: 25719 grad_norm: 1.3078 loss: 1.7835 grounding_loss_reg: 7.1475 detection_loss_cls: 0.1668 detection_loss_reg: 0.6959 caption_loss_cls: 3.4782 instance_segmentation_loss_cls: 0.1700 instance_segmentation_loss_reg: 0.4024 instance_segmentation_loss_poly: 1.4795 semantic_segmentation_loss_cls: 0.0994 2023/10/01 05:01:05 - mmengine - INFO - Iter(train) [ 19800/480000] base_lr: 1.9917e-04 lr: 5.3118e-05 eta: 12 days, 19:34:05 time: 2.5863 data_time: 0.1298 memory: 25719 grad_norm: 1.2967 loss: 1.7716 grounding_loss_reg: 7.1394 detection_loss_cls: 0.1663 detection_loss_reg: 0.6939 caption_loss_cls: 3.4685 instance_segmentation_loss_cls: 0.1613 instance_segmentation_loss_reg: 0.3964 instance_segmentation_loss_poly: 1.4509 semantic_segmentation_loss_cls: 0.0989 2023/10/01 05:39:48 - mmengine - INFO - Iter(train) [ 19900/480000] base_lr: 1.9916e-04 lr: 5.3116e-05 eta: 8 days, 7:34:39 time: 2.4920 data_time: 0.1152 memory: 26633 grad_norm: 1.3047 loss: 1.7816 grounding_loss_reg: 7.1236 detection_loss_cls: 0.1662 detection_loss_reg: 0.6951 caption_loss_cls: 3.4584 instance_segmentation_loss_cls: 0.1507 instance_segmentation_loss_reg: 0.3825 instance_segmentation_loss_poly: 1.3848 semantic_segmentation_loss_cls: 0.0988 2023/10/01 05:42:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 05:42:43 - mmengine - INFO - Iter(train) [ 20000/480000] base_lr: 1.9915e-04 lr: 5.3114e-05 eta: 8 days, 12:24:29 time: 2.4755 data_time: 0.1153 memory: 26633 grad_norm: 1.2986 loss: 1.7773 grounding_loss_reg: 7.1059 detection_loss_cls: 0.1648 detection_loss_reg: 0.6918 caption_loss_cls: 3.4576 instance_segmentation_loss_cls: 0.1363 instance_segmentation_loss_reg: 0.3735 instance_segmentation_loss_poly: 1.3387 semantic_segmentation_loss_cls: 0.0984 2023/10/01 05:42:43 - mmengine - INFO - Saving checkpoint at 20000 iterations 2023/10/01 05:46:18 - mmengine - INFO - Iter(train) [ 20100/480000] base_lr: 1.9914e-04 lr: 5.3112e-05 eta: 8 days, 23:56:15 time: 2.4511 data_time: 0.1152 memory: 26633 grad_norm: 1.2733 loss: 1.7733 grounding_loss_reg: 7.0986 detection_loss_cls: 0.1644 detection_loss_reg: 0.6897 caption_loss_cls: 3.4525 instance_segmentation_loss_cls: 0.1355 instance_segmentation_loss_reg: 0.3725 instance_segmentation_loss_poly: 1.3291 semantic_segmentation_loss_cls: 0.0980 2023/10/01 05:49:14 - mmengine - INFO - Iter(train) [ 20200/480000] base_lr: 1.9914e-04 lr: 5.3109e-05 eta: 9 days, 1:10:41 time: 2.4419 data_time: 0.1152 memory: 26633 grad_norm: 1.2675 loss: 1.7682 grounding_loss_reg: 7.0837 detection_loss_cls: 0.1640 detection_loss_reg: 0.6891 caption_loss_cls: 3.4509 instance_segmentation_loss_cls: 0.1335 instance_segmentation_loss_reg: 0.3719 instance_segmentation_loss_poly: 1.3235 semantic_segmentation_loss_cls: 0.0976 2023/10/01 05:52:22 - mmengine - INFO - Iter(train) [ 20300/480000] base_lr: 1.9913e-04 lr: 5.3107e-05 eta: 9 days, 4:05:36 time: 2.4249 data_time: 0.1152 memory: 26633 grad_norm: 1.2644 loss: 1.7591 grounding_loss_reg: 7.0809 detection_loss_cls: 0.1634 detection_loss_reg: 0.6870 caption_loss_cls: 3.4466 instance_segmentation_loss_cls: 0.1313 instance_segmentation_loss_reg: 0.3700 instance_segmentation_loss_poly: 1.3123 semantic_segmentation_loss_cls: 0.0972 2023/10/01 05:55:33 - mmengine - INFO - Iter(train) [ 20400/480000] base_lr: 1.9912e-04 lr: 5.3105e-05 eta: 9 days, 6:35:43 time: 2.4162 data_time: 0.1152 memory: 26633 grad_norm: 1.2650 loss: 1.7567 grounding_loss_reg: 7.0676 detection_loss_cls: 0.1625 detection_loss_reg: 0.6849 caption_loss_cls: 3.4413 instance_segmentation_loss_cls: 0.1303 instance_segmentation_loss_reg: 0.3688 instance_segmentation_loss_poly: 1.3032 semantic_segmentation_loss_cls: 0.0968 2023/10/01 05:58:29 - mmengine - INFO - Iter(train) [ 20500/480000] base_lr: 1.9911e-04 lr: 5.3103e-05 eta: 9 days, 6:43:32 time: 2.3992 data_time: 0.1152 memory: 26633 grad_norm: 1.2653 loss: 1.7654 grounding_loss_reg: 7.0523 detection_loss_cls: 0.1619 detection_loss_reg: 0.6836 caption_loss_cls: 3.4407 instance_segmentation_loss_cls: 0.1282 instance_segmentation_loss_reg: 0.3649 instance_segmentation_loss_poly: 1.2874 semantic_segmentation_loss_cls: 0.0965 2023/10/01 05:58:29 - mmengine - INFO - Saving checkpoint at 20500 iterations 2023/10/01 06:02:53 - mmengine - INFO - Iter(train) [ 20600/480000] base_lr: 1.9910e-04 lr: 5.3100e-05 eta: 9 days, 17:06:28 time: 2.3951 data_time: 0.1160 memory: 26633 grad_norm: 1.2566 loss: 1.7598 grounding_loss_reg: 7.0443 detection_loss_cls: 0.1614 detection_loss_reg: 0.6823 caption_loss_cls: 3.4398 instance_segmentation_loss_cls: 0.1272 instance_segmentation_loss_reg: 0.3625 instance_segmentation_loss_poly: 1.2758 semantic_segmentation_loss_cls: 0.0963 2023/10/01 06:05:55 - mmengine - INFO - Iter(train) [ 20700/480000] base_lr: 1.9909e-04 lr: 5.3098e-05 eta: 9 days, 16:59:17 time: 2.3757 data_time: 0.1160 memory: 25794 grad_norm: 1.2568 loss: 1.7659 grounding_loss_reg: 7.0334 detection_loss_cls: 0.1610 detection_loss_reg: 0.6826 caption_loss_cls: 3.4363 instance_segmentation_loss_cls: 0.1265 instance_segmentation_loss_reg: 0.3614 instance_segmentation_loss_poly: 1.2692 semantic_segmentation_loss_cls: 0.0959 2023/10/01 06:09:31 - mmengine - INFO - Iter(train) [ 20800/480000] base_lr: 1.9908e-04 lr: 5.3096e-05 eta: 9 days, 20:15:30 time: 2.3641 data_time: 0.1160 memory: 26633 grad_norm: 1.2516 loss: 1.7677 grounding_loss_reg: 7.0214 detection_loss_cls: 0.1602 detection_loss_reg: 0.6800 caption_loss_cls: 3.4339 instance_segmentation_loss_cls: 0.1257 instance_segmentation_loss_reg: 0.3627 instance_segmentation_loss_poly: 1.2684 semantic_segmentation_loss_cls: 0.0955 2023/10/01 06:12:49 - mmengine - INFO - Iter(train) [ 20900/480000] base_lr: 1.9908e-04 lr: 5.3094e-05 eta: 9 days, 21:19:13 time: 2.3558 data_time: 0.1161 memory: 26633 grad_norm: 1.2471 loss: 1.7623 grounding_loss_reg: 6.9982 detection_loss_cls: 0.1593 detection_loss_reg: 0.6764 caption_loss_cls: 3.4327 instance_segmentation_loss_cls: 0.1236 instance_segmentation_loss_reg: 0.3617 instance_segmentation_loss_poly: 1.2632 semantic_segmentation_loss_cls: 0.0952 2023/10/01 06:16:21 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 06:16:21 - mmengine - INFO - Iter(train) [ 21000/480000] base_lr: 1.9907e-04 lr: 5.3091e-05 eta: 9 days, 23:27:52 time: 2.3469 data_time: 0.1161 memory: 26633 grad_norm: 1.2467 loss: 1.7664 grounding_loss_reg: 6.9873 detection_loss_cls: 0.1593 detection_loss_reg: 0.6772 caption_loss_cls: 3.4333 instance_segmentation_loss_cls: 0.1226 instance_segmentation_loss_reg: 0.3589 instance_segmentation_loss_poly: 1.2530 semantic_segmentation_loss_cls: 0.0950 2023/10/01 06:16:21 - mmengine - INFO - Saving checkpoint at 21000 iterations 2023/10/01 06:20:24 - mmengine - INFO - Iter(train) [ 21100/480000] base_lr: 1.9906e-04 lr: 5.3089e-05 eta: 10 days, 3:50:52 time: 2.3334 data_time: 0.1164 memory: 26633 grad_norm: 1.2420 loss: 1.7604 grounding_loss_reg: 6.9784 detection_loss_cls: 0.1589 detection_loss_reg: 0.6765 caption_loss_cls: 3.4242 instance_segmentation_loss_cls: 0.1223 instance_segmentation_loss_reg: 0.3588 instance_segmentation_loss_poly: 1.2515 semantic_segmentation_loss_cls: 0.0946 2023/10/01 06:23:46 - mmengine - INFO - Iter(train) [ 21200/480000] base_lr: 1.9905e-04 lr: 5.3087e-05 eta: 10 days, 4:34:13 time: 2.3191 data_time: 0.1164 memory: 26633 grad_norm: 1.2398 loss: 1.7561 grounding_loss_reg: 6.9580 detection_loss_cls: 0.1586 detection_loss_reg: 0.6764 caption_loss_cls: 3.4233 instance_segmentation_loss_cls: 0.1217 instance_segmentation_loss_reg: 0.3585 instance_segmentation_loss_poly: 1.2486 semantic_segmentation_loss_cls: 0.0942 2023/10/01 06:27:14 - mmengine - INFO - Iter(train) [ 21300/480000] base_lr: 1.9904e-04 lr: 5.3084e-05 eta: 10 days, 5:40:17 time: 2.3143 data_time: 0.1164 memory: 26633 grad_norm: 1.2305 loss: 1.7537 grounding_loss_reg: 6.9472 detection_loss_cls: 0.1582 detection_loss_reg: 0.6759 caption_loss_cls: 3.4183 instance_segmentation_loss_cls: 0.1210 instance_segmentation_loss_reg: 0.3570 instance_segmentation_loss_poly: 1.2432 semantic_segmentation_loss_cls: 0.0939 2023/10/01 06:30:57 - mmengine - INFO - Iter(train) [ 21400/480000] base_lr: 1.9903e-04 lr: 5.3082e-05 eta: 10 days, 7:38:58 time: 2.3105 data_time: 0.1164 memory: 26633 grad_norm: 1.2256 loss: 1.7466 grounding_loss_reg: 6.9387 detection_loss_cls: 0.1576 detection_loss_reg: 0.6753 caption_loss_cls: 3.4148 instance_segmentation_loss_cls: 0.1206 instance_segmentation_loss_reg: 0.3566 instance_segmentation_loss_poly: 1.2410 semantic_segmentation_loss_cls: 0.0936 2023/10/01 06:34:16 - mmengine - INFO - Iter(train) [ 21500/480000] base_lr: 1.9902e-04 lr: 5.3080e-05 eta: 10 days, 7:51:19 time: 2.3036 data_time: 0.1165 memory: 26633 grad_norm: 1.2218 loss: 1.7424 grounding_loss_reg: 6.9327 detection_loss_cls: 0.1571 detection_loss_reg: 0.6744 caption_loss_cls: 3.4103 instance_segmentation_loss_cls: 0.1199 instance_segmentation_loss_reg: 0.3559 instance_segmentation_loss_poly: 1.2384 semantic_segmentation_loss_cls: 0.0931 2023/10/01 06:34:16 - mmengine - INFO - Saving checkpoint at 21500 iterations 2023/10/01 06:39:02 - mmengine - INFO - Iter(train) [ 21600/480000] base_lr: 1.9901e-04 lr: 5.3077e-05 eta: 10 days, 13:22:47 time: 2.2984 data_time: 0.1163 memory: 26633 grad_norm: 1.2182 loss: 1.7312 grounding_loss_reg: 6.9309 detection_loss_cls: 0.1563 detection_loss_reg: 0.6717 caption_loss_cls: 3.4101 instance_segmentation_loss_cls: 0.1194 instance_segmentation_loss_reg: 0.3552 instance_segmentation_loss_poly: 1.2351 semantic_segmentation_loss_cls: 0.0927 2023/10/01 06:42:45 - mmengine - INFO - Iter(train) [ 21700/480000] base_lr: 1.9900e-04 lr: 5.3075e-05 eta: 10 days, 14:41:14 time: 2.2902 data_time: 0.1163 memory: 26633 grad_norm: 1.2168 loss: 1.7297 grounding_loss_reg: 6.9117 detection_loss_cls: 0.1558 detection_loss_reg: 0.6705 caption_loss_cls: 3.4075 instance_segmentation_loss_cls: 0.1189 instance_segmentation_loss_reg: 0.3551 instance_segmentation_loss_poly: 1.2341 semantic_segmentation_loss_cls: 0.0923 2023/10/01 06:46:23 - mmengine - INFO - Iter(train) [ 21800/480000] base_lr: 1.9899e-04 lr: 5.3073e-05 eta: 10 days, 15:38:42 time: 2.2759 data_time: 0.1162 memory: 25794 grad_norm: 1.2119 loss: 1.7277 grounding_loss_reg: 6.8967 detection_loss_cls: 0.1556 detection_loss_reg: 0.6706 caption_loss_cls: 3.4042 instance_segmentation_loss_cls: 0.1183 instance_segmentation_loss_reg: 0.3547 instance_segmentation_loss_poly: 1.2321 semantic_segmentation_loss_cls: 0.0918 2023/10/01 06:49:48 - mmengine - INFO - Iter(train) [ 21900/480000] base_lr: 1.9898e-04 lr: 5.3070e-05 eta: 10 days, 15:48:49 time: 2.2726 data_time: 0.1163 memory: 25794 grad_norm: 1.2142 loss: 1.7294 grounding_loss_reg: 6.8856 detection_loss_cls: 0.1555 detection_loss_reg: 0.6705 caption_loss_cls: 3.3934 instance_segmentation_loss_cls: 0.1178 instance_segmentation_loss_reg: 0.3548 instance_segmentation_loss_poly: 1.2311 semantic_segmentation_loss_cls: 0.0916 2023/10/01 06:53:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 06:53:38 - mmengine - INFO - Iter(train) [ 22000/480000] base_lr: 1.9898e-04 lr: 5.3068e-05 eta: 10 days, 17:11:43 time: 2.2749 data_time: 0.1163 memory: 25794 grad_norm: 1.2083 loss: 1.7247 grounding_loss_reg: 6.8856 detection_loss_cls: 0.1564 detection_loss_reg: 0.6751 caption_loss_cls: 3.3925 instance_segmentation_loss_cls: 0.1161 instance_segmentation_loss_reg: 0.3520 instance_segmentation_loss_poly: 1.2197 semantic_segmentation_loss_cls: 0.0913 2023/10/01 06:53:38 - mmengine - INFO - Saving checkpoint at 22000 iterations 2023/10/01 06:58:23 - mmengine - INFO - Iter(train) [ 22100/480000] base_lr: 1.9897e-04 lr: 5.3065e-05 eta: 10 days, 21:12:57 time: 2.2649 data_time: 0.1170 memory: 26633 grad_norm: 1.2104 loss: 1.7275 grounding_loss_reg: 6.8727 detection_loss_cls: 0.1562 detection_loss_reg: 0.6741 caption_loss_cls: 3.3869 instance_segmentation_loss_cls: 0.1161 instance_segmentation_loss_reg: 0.3533 instance_segmentation_loss_poly: 1.2219 semantic_segmentation_loss_cls: 0.0911 2023/10/01 07:02:46 - mmengine - INFO - Iter(train) [ 22200/480000] base_lr: 1.9896e-04 lr: 5.3063e-05 eta: 10 days, 23:51:27 time: 2.2652 data_time: 0.1170 memory: 26633 grad_norm: 1.2071 loss: 1.7166 grounding_loss_reg: 6.8651 detection_loss_cls: 0.1560 detection_loss_reg: 0.6719 caption_loss_cls: 3.3833 instance_segmentation_loss_cls: 0.1156 instance_segmentation_loss_reg: 0.3530 instance_segmentation_loss_poly: 1.2195 semantic_segmentation_loss_cls: 0.0908 2023/10/01 07:06:32 - mmengine - INFO - Iter(train) [ 22300/480000] base_lr: 1.9895e-04 lr: 5.3060e-05 eta: 11 days, 0:39:28 time: 2.2560 data_time: 0.1170 memory: 26633 grad_norm: 1.2117 loss: 1.7226 grounding_loss_reg: 6.8517 detection_loss_cls: 0.1553 detection_loss_reg: 0.6707 caption_loss_cls: 3.3783 instance_segmentation_loss_cls: 0.1150 instance_segmentation_loss_reg: 0.3517 instance_segmentation_loss_poly: 1.2151 semantic_segmentation_loss_cls: 0.0906 2023/10/01 07:10:22 - mmengine - INFO - Iter(train) [ 22400/480000] base_lr: 1.9894e-04 lr: 5.3058e-05 eta: 11 days, 1:32:13 time: 2.2527 data_time: 0.1170 memory: 26633 grad_norm: 1.2065 loss: 1.7198 grounding_loss_reg: 6.8440 detection_loss_cls: 0.1550 detection_loss_reg: 0.6718 caption_loss_cls: 3.3789 instance_segmentation_loss_cls: 0.1145 instance_segmentation_loss_reg: 0.3513 instance_segmentation_loss_poly: 1.2125 semantic_segmentation_loss_cls: 0.0900 2023/10/01 07:14:34 - mmengine - INFO - Iter(train) [ 22500/480000] base_lr: 1.9893e-04 lr: 5.3056e-05 eta: 11 days, 3:18:02 time: 2.2443 data_time: 0.1170 memory: 26633 grad_norm: 1.2097 loss: 1.7261 grounding_loss_reg: 6.8362 detection_loss_cls: 0.1547 detection_loss_reg: 0.6716 caption_loss_cls: 3.3713 instance_segmentation_loss_cls: 0.1141 instance_segmentation_loss_reg: 0.3508 instance_segmentation_loss_poly: 1.2112 semantic_segmentation_loss_cls: 0.0897 2023/10/01 07:14:34 - mmengine - INFO - Saving checkpoint at 22500 iterations 2023/10/01 07:19:47 - mmengine - INFO - Iter(train) [ 22600/480000] base_lr: 1.9892e-04 lr: 5.3053e-05 eta: 11 days, 7:28:35 time: 2.2403 data_time: 0.1173 memory: 26633 grad_norm: 1.2158 loss: 1.7348 grounding_loss_reg: 6.8181 detection_loss_cls: 0.1541 detection_loss_reg: 0.6695 caption_loss_cls: 3.3680 instance_segmentation_loss_cls: 0.1140 instance_segmentation_loss_reg: 0.3514 instance_segmentation_loss_poly: 1.2135 semantic_segmentation_loss_cls: 0.0895 2023/10/01 07:23:39 - mmengine - INFO - Iter(train) [ 22700/480000] base_lr: 1.9891e-04 lr: 5.3051e-05 eta: 11 days, 8:08:47 time: 2.2369 data_time: 0.1173 memory: 26633 grad_norm: 1.2158 loss: 1.7372 grounding_loss_reg: 6.8053 detection_loss_cls: 0.1541 detection_loss_reg: 0.6714 caption_loss_cls: 3.3686 instance_segmentation_loss_cls: 0.1131 instance_segmentation_loss_reg: 0.3498 instance_segmentation_loss_poly: 1.2091 semantic_segmentation_loss_cls: 0.0892 2023/10/01 07:28:07 - mmengine - INFO - Iter(train) [ 22800/480000] base_lr: 1.9890e-04 lr: 5.3048e-05 eta: 11 days, 10:09:03 time: 2.2404 data_time: 0.1174 memory: 26633 grad_norm: 1.2154 loss: 1.7408 grounding_loss_reg: 6.8025 detection_loss_cls: 0.1539 detection_loss_reg: 0.6706 caption_loss_cls: 3.3715 instance_segmentation_loss_cls: 0.1128 instance_segmentation_loss_reg: 0.3501 instance_segmentation_loss_poly: 1.2090 semantic_segmentation_loss_cls: 0.0890 2023/10/01 07:31:55 - mmengine - INFO - Iter(train) [ 22900/480000] base_lr: 1.9889e-04 lr: 5.3046e-05 eta: 11 days, 10:32:57 time: 2.2305 data_time: 0.1174 memory: 26633 grad_norm: 1.2232 loss: 1.7494 grounding_loss_reg: 6.7934 detection_loss_cls: 0.1531 detection_loss_reg: 0.6685 caption_loss_cls: 3.3663 instance_segmentation_loss_cls: 0.1120 instance_segmentation_loss_reg: 0.3480 instance_segmentation_loss_poly: 1.2008 semantic_segmentation_loss_cls: 0.0887 2023/10/01 07:35:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 07:35:54 - mmengine - INFO - Iter(train) [ 23000/480000] base_lr: 1.9888e-04 lr: 5.3043e-05 eta: 11 days, 11:18:04 time: 2.2323 data_time: 0.1174 memory: 26633 grad_norm: 1.2216 loss: 1.7450 grounding_loss_reg: 6.7789 detection_loss_cls: 0.1531 detection_loss_reg: 0.6689 caption_loss_cls: 3.3642 instance_segmentation_loss_cls: 0.1114 instance_segmentation_loss_reg: 0.3468 instance_segmentation_loss_poly: 1.1961 semantic_segmentation_loss_cls: 0.0883 2023/10/01 07:35:54 - mmengine - INFO - Saving checkpoint at 23000 iterations 2023/10/01 07:40:36 - mmengine - INFO - Iter(train) [ 23100/480000] base_lr: 1.9887e-04 lr: 5.3041e-05 eta: 11 days, 13:32:13 time: 2.2289 data_time: 0.1178 memory: 26633 grad_norm: 1.2271 loss: 1.7590 grounding_loss_reg: 6.7706 detection_loss_cls: 0.1524 detection_loss_reg: 0.6686 caption_loss_cls: 3.3619 instance_segmentation_loss_cls: 0.1109 instance_segmentation_loss_reg: 0.3466 instance_segmentation_loss_poly: 1.1949 semantic_segmentation_loss_cls: 0.0881 2023/10/01 07:44:55 - mmengine - INFO - Iter(train) [ 23200/480000] base_lr: 1.9886e-04 lr: 5.3038e-05 eta: 11 days, 14:50:57 time: 2.2261 data_time: 0.1178 memory: 26633 grad_norm: 1.2257 loss: 1.7588 grounding_loss_reg: 6.7694 detection_loss_cls: 0.1520 detection_loss_reg: 0.6687 caption_loss_cls: 3.3619 instance_segmentation_loss_cls: 0.1106 instance_segmentation_loss_reg: 0.3465 instance_segmentation_loss_poly: 1.1937 semantic_segmentation_loss_cls: 0.0878 2023/10/01 07:49:12 - mmengine - INFO - Iter(train) [ 23300/480000] base_lr: 1.9885e-04 lr: 5.3035e-05 eta: 11 days, 16:02:28 time: 2.2241 data_time: 0.1178 memory: 26633 grad_norm: 1.2225 loss: 1.7557 grounding_loss_reg: 6.7669 detection_loss_cls: 0.1517 detection_loss_reg: 0.6683 caption_loss_cls: 3.3630 instance_segmentation_loss_cls: 0.1098 instance_segmentation_loss_reg: 0.3452 instance_segmentation_loss_poly: 1.1887 semantic_segmentation_loss_cls: 0.0875 2023/10/01 07:52:58 - mmengine - INFO - Iter(train) [ 23400/480000] base_lr: 1.9884e-04 lr: 5.3033e-05 eta: 11 days, 16:08:49 time: 2.2221 data_time: 0.1179 memory: 26633 grad_norm: 1.2183 loss: 1.7521 grounding_loss_reg: 6.7550 detection_loss_cls: 0.1514 detection_loss_reg: 0.6682 caption_loss_cls: 3.3583 instance_segmentation_loss_cls: 0.1094 instance_segmentation_loss_reg: 0.3449 instance_segmentation_loss_poly: 1.1877 semantic_segmentation_loss_cls: 0.0872 2023/10/01 07:57:15 - mmengine - INFO - Iter(train) [ 23500/480000] base_lr: 1.9883e-04 lr: 5.3030e-05 eta: 11 days, 17:14:25 time: 2.2179 data_time: 0.1178 memory: 26633 grad_norm: 1.2229 loss: 1.7551 grounding_loss_reg: 6.7487 detection_loss_cls: 0.1510 detection_loss_reg: 0.6668 caption_loss_cls: 3.3552 instance_segmentation_loss_cls: 0.1092 instance_segmentation_loss_reg: 0.3444 instance_segmentation_loss_poly: 1.1847 semantic_segmentation_loss_cls: 0.0870 2023/10/01 07:57:15 - mmengine - INFO - Saving checkpoint at 23500 iterations 2023/10/01 08:02:20 - mmengine - INFO - Iter(train) [ 23600/480000] base_lr: 1.9882e-04 lr: 5.3028e-05 eta: 11 days, 19:45:14 time: 2.2580 data_time: 0.1332 memory: 26633 grad_norm: 1.2197 loss: 1.7600 grounding_loss_reg: 6.7419 detection_loss_cls: 0.1510 detection_loss_reg: 0.6661 caption_loss_cls: 3.3571 instance_segmentation_loss_cls: 0.1089 instance_segmentation_loss_reg: 0.3447 instance_segmentation_loss_poly: 1.1850 semantic_segmentation_loss_cls: 0.0867 2023/10/01 08:06:38 - mmengine - INFO - Iter(train) [ 23700/480000] base_lr: 1.9881e-04 lr: 5.3025e-05 eta: 11 days, 20:41:48 time: 2.2843 data_time: 0.1332 memory: 26633 grad_norm: 1.2174 loss: 1.7586 grounding_loss_reg: 6.7319 detection_loss_cls: 0.1511 detection_loss_reg: 0.6671 caption_loss_cls: 3.3571 instance_segmentation_loss_cls: 0.1083 instance_segmentation_loss_reg: 0.3438 instance_segmentation_loss_poly: 1.1818 semantic_segmentation_loss_cls: 0.0865 2023/10/01 08:10:26 - mmengine - INFO - Iter(train) [ 23800/480000] base_lr: 1.9880e-04 lr: 5.3023e-05 eta: 11 days, 20:44:11 time: 2.3013 data_time: 0.1332 memory: 25794 grad_norm: 1.2163 loss: 1.7607 grounding_loss_reg: 6.7250 detection_loss_cls: 0.1509 detection_loss_reg: 0.6660 caption_loss_cls: 3.3520 instance_segmentation_loss_cls: 0.1081 instance_segmentation_loss_reg: 0.3437 instance_segmentation_loss_poly: 1.1815 semantic_segmentation_loss_cls: 0.0862 2023/10/01 08:14:22 - mmengine - INFO - Iter(train) [ 23900/480000] base_lr: 1.9879e-04 lr: 5.3020e-05 eta: 11 days, 21:00:33 time: 2.3184 data_time: 0.1332 memory: 26633 grad_norm: 1.2138 loss: 1.7597 grounding_loss_reg: 6.7174 detection_loss_cls: 0.1504 detection_loss_reg: 0.6650 caption_loss_cls: 3.3484 instance_segmentation_loss_cls: 0.1073 instance_segmentation_loss_reg: 0.3430 instance_segmentation_loss_poly: 1.1788 semantic_segmentation_loss_cls: 0.0859 2023/10/01 08:18:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 08:18:18 - mmengine - INFO - Iter(train) [ 24000/480000] base_lr: 1.9878e-04 lr: 5.3017e-05 eta: 11 days, 21:15:17 time: 2.3335 data_time: 0.1331 memory: 26633 grad_norm: 1.2151 loss: 1.7590 grounding_loss_reg: 6.6979 detection_loss_cls: 0.1501 detection_loss_reg: 0.6643 caption_loss_cls: 3.3442 instance_segmentation_loss_cls: 0.1068 instance_segmentation_loss_reg: 0.3418 instance_segmentation_loss_poly: 1.1746 semantic_segmentation_loss_cls: 0.0856 2023/10/01 08:18:18 - mmengine - INFO - Saving checkpoint at 24000 iterations 2023/10/01 08:23:28 - mmengine - INFO - Iter(train) [ 24100/480000] base_lr: 1.9877e-04 lr: 5.3015e-05 eta: 11 days, 23:31:34 time: 2.3575 data_time: 0.1330 memory: 26633 grad_norm: 1.2125 loss: 1.7565 grounding_loss_reg: 6.6899 detection_loss_cls: 0.1496 detection_loss_reg: 0.6639 caption_loss_cls: 3.3497 instance_segmentation_loss_cls: 0.1065 instance_segmentation_loss_reg: 0.3410 instance_segmentation_loss_poly: 1.1723 semantic_segmentation_loss_cls: 0.0853 2023/10/01 08:27:44 - mmengine - INFO - Iter(train) [ 24200/480000] base_lr: 1.9876e-04 lr: 5.3012e-05 eta: 12 days, 0:14:45 time: 2.3775 data_time: 0.1330 memory: 26633 grad_norm: 1.2098 loss: 1.7507 grounding_loss_reg: 6.6882 detection_loss_cls: 0.1493 detection_loss_reg: 0.6633 caption_loss_cls: 3.3452 instance_segmentation_loss_cls: 0.1057 instance_segmentation_loss_reg: 0.3390 instance_segmentation_loss_poly: 1.1661 semantic_segmentation_loss_cls: 0.0850 2023/10/01 08:32:23 - mmengine - INFO - Iter(train) [ 24300/480000] base_lr: 1.9875e-04 lr: 5.3009e-05 eta: 12 days, 1:32:31 time: 2.4001 data_time: 0.1331 memory: 26633 grad_norm: 1.2114 loss: 1.7527 grounding_loss_reg: 6.6804 detection_loss_cls: 0.1489 detection_loss_reg: 0.6615 caption_loss_cls: 3.3378 instance_segmentation_loss_cls: 0.1055 instance_segmentation_loss_reg: 0.3394 instance_segmentation_loss_poly: 1.1661 semantic_segmentation_loss_cls: 0.0849 2023/10/01 08:35:59 - mmengine - INFO - Iter(train) [ 24400/480000] base_lr: 1.9874e-04 lr: 5.3007e-05 eta: 12 days, 1:08:15 time: 2.4064 data_time: 0.1332 memory: 25794 grad_norm: 1.2086 loss: 1.7498 grounding_loss_reg: 6.6733 detection_loss_cls: 0.1481 detection_loss_reg: 0.6589 caption_loss_cls: 3.3363 instance_segmentation_loss_cls: 0.1054 instance_segmentation_loss_reg: 0.3395 instance_segmentation_loss_poly: 1.1664 semantic_segmentation_loss_cls: 0.0847 2023/10/01 08:39:35 - mmengine - INFO - Iter(train) [ 24500/480000] base_lr: 1.9873e-04 lr: 5.3004e-05 eta: 12 days, 0:46:23 time: 2.4166 data_time: 0.1332 memory: 26633 grad_norm: 1.2053 loss: 1.7410 grounding_loss_reg: 6.6638 detection_loss_cls: 0.1479 detection_loss_reg: 0.6581 caption_loss_cls: 3.3321 instance_segmentation_loss_cls: 0.1053 instance_segmentation_loss_reg: 0.3396 instance_segmentation_loss_poly: 1.1662 semantic_segmentation_loss_cls: 0.0844 2023/10/01 08:39:35 - mmengine - INFO - Saving checkpoint at 24500 iterations 2023/10/01 08:44:51 - mmengine - INFO - Iter(train) [ 24600/480000] base_lr: 1.9872e-04 lr: 5.3001e-05 eta: 12 days, 2:52:34 time: 2.4294 data_time: 0.1324 memory: 26633 grad_norm: 1.2046 loss: 1.7333 grounding_loss_reg: 6.6543 detection_loss_cls: 0.1478 detection_loss_reg: 0.6584 caption_loss_cls: 3.3274 instance_segmentation_loss_cls: 0.1048 instance_segmentation_loss_reg: 0.3384 instance_segmentation_loss_poly: 1.1610 semantic_segmentation_loss_cls: 0.0841 2023/10/01 08:49:03 - mmengine - INFO - Iter(train) [ 24700/480000] base_lr: 1.9871e-04 lr: 5.2999e-05 eta: 12 days, 3:20:42 time: 2.4469 data_time: 0.1325 memory: 26633 grad_norm: 1.2036 loss: 1.7307 grounding_loss_reg: 6.6413 detection_loss_cls: 0.1477 detection_loss_reg: 0.6586 caption_loss_cls: 3.3244 instance_segmentation_loss_cls: 0.1044 instance_segmentation_loss_reg: 0.3381 instance_segmentation_loss_poly: 1.1593 semantic_segmentation_loss_cls: 0.0838 2023/10/01 08:53:16 - mmengine - INFO - Iter(train) [ 24800/480000] base_lr: 1.9870e-04 lr: 5.2996e-05 eta: 12 days, 3:49:18 time: 2.4560 data_time: 0.1324 memory: 26633 grad_norm: 1.2037 loss: 1.7207 grounding_loss_reg: 6.6307 detection_loss_cls: 0.1481 detection_loss_reg: 0.6604 caption_loss_cls: 3.3245 instance_segmentation_loss_cls: 0.1039 instance_segmentation_loss_reg: 0.3374 instance_segmentation_loss_poly: 1.1575 semantic_segmentation_loss_cls: 0.0834 2023/10/01 08:57:26 - mmengine - INFO - Iter(train) [ 24900/480000] base_lr: 1.9869e-04 lr: 5.2993e-05 eta: 12 days, 4:12:18 time: 2.4691 data_time: 0.1324 memory: 26633 grad_norm: 1.2019 loss: 1.7186 grounding_loss_reg: 6.6265 detection_loss_cls: 0.1476 detection_loss_reg: 0.6603 caption_loss_cls: 3.3244 instance_segmentation_loss_cls: 0.1036 instance_segmentation_loss_reg: 0.3369 instance_segmentation_loss_poly: 1.1558 semantic_segmentation_loss_cls: 0.0832 2023/10/01 09:02:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 09:02:15 - mmengine - INFO - Iter(train) [ 25000/480000] base_lr: 1.9868e-04 lr: 5.2991e-05 eta: 12 days, 5:29:10 time: 2.4886 data_time: 0.1324 memory: 26633 grad_norm: 1.1948 loss: 1.7076 grounding_loss_reg: 6.6142 detection_loss_cls: 0.1472 detection_loss_reg: 0.6590 caption_loss_cls: 3.3201 instance_segmentation_loss_cls: 0.1033 instance_segmentation_loss_reg: 0.3362 instance_segmentation_loss_poly: 1.1530 semantic_segmentation_loss_cls: 0.0830 2023/10/01 09:02:15 - mmengine - INFO - Saving checkpoint at 25000 iterations 2023/10/01 09:07:39 - mmengine - INFO - Iter(train) [ 25100/480000] base_lr: 1.9867e-04 lr: 5.2988e-05 eta: 12 days, 7:29:38 time: 2.5087 data_time: 0.1330 memory: 26633 grad_norm: 1.1885 loss: 1.6970 grounding_loss_reg: 6.6066 detection_loss_cls: 0.1468 detection_loss_reg: 0.6576 caption_loss_cls: 3.3142 instance_segmentation_loss_cls: 0.1033 instance_segmentation_loss_reg: 0.3360 instance_segmentation_loss_poly: 1.1511 semantic_segmentation_loss_cls: 0.0827 2023/10/01 09:11:38 - mmengine - INFO - Iter(train) [ 25200/480000] base_lr: 1.9866e-04 lr: 5.2985e-05 eta: 12 days, 7:32:38 time: 2.5181 data_time: 0.1330 memory: 26633 grad_norm: 1.1878 loss: 1.7018 grounding_loss_reg: 6.6021 detection_loss_cls: 0.1465 detection_loss_reg: 0.6569 caption_loss_cls: 3.3127 instance_segmentation_loss_cls: 0.1023 instance_segmentation_loss_reg: 0.3335 instance_segmentation_loss_poly: 1.1447 semantic_segmentation_loss_cls: 0.0825 2023/10/01 09:15:47 - mmengine - INFO - Iter(train) [ 25300/480000] base_lr: 1.9865e-04 lr: 5.2982e-05 eta: 12 days, 7:47:45 time: 2.5281 data_time: 0.1330 memory: 25794 grad_norm: 1.1889 loss: 1.7047 grounding_loss_reg: 6.5987 detection_loss_cls: 0.1467 detection_loss_reg: 0.6571 caption_loss_cls: 3.3074 instance_segmentation_loss_cls: 0.1020 instance_segmentation_loss_reg: 0.3330 instance_segmentation_loss_poly: 1.1424 semantic_segmentation_loss_cls: 0.0822 2023/10/01 09:20:18 - mmengine - INFO - Iter(train) [ 25400/480000] base_lr: 1.9864e-04 lr: 5.2980e-05 eta: 12 days, 8:31:44 time: 2.5402 data_time: 0.1330 memory: 25794 grad_norm: 1.1830 loss: 1.7090 grounding_loss_reg: 6.5932 detection_loss_cls: 0.1466 detection_loss_reg: 0.6562 caption_loss_cls: 3.3090 instance_segmentation_loss_cls: 0.1017 instance_segmentation_loss_reg: 0.3327 instance_segmentation_loss_poly: 1.1404 semantic_segmentation_loss_cls: 0.0820 2023/10/01 09:24:09 - mmengine - INFO - Iter(train) [ 25500/480000] base_lr: 1.9862e-04 lr: 5.2977e-05 eta: 12 days, 8:22:15 time: 2.5482 data_time: 0.1330 memory: 26633 grad_norm: 1.1836 loss: 1.7076 grounding_loss_reg: 6.5860 detection_loss_cls: 0.1463 detection_loss_reg: 0.6547 caption_loss_cls: 3.3068 instance_segmentation_loss_cls: 0.1013 instance_segmentation_loss_reg: 0.3320 instance_segmentation_loss_poly: 1.1378 semantic_segmentation_loss_cls: 0.0817 2023/10/01 09:24:09 - mmengine - INFO - Saving checkpoint at 25500 iterations 2023/10/01 09:29:06 - mmengine - INFO - Iter(train) [ 25600/480000] base_lr: 1.9861e-04 lr: 5.2974e-05 eta: 12 days, 9:35:24 time: 2.5507 data_time: 0.1336 memory: 26633 grad_norm: 1.1829 loss: 1.7071 grounding_loss_reg: 6.5792 detection_loss_cls: 0.1456 detection_loss_reg: 0.6537 caption_loss_cls: 3.3059 instance_segmentation_loss_cls: 0.1012 instance_segmentation_loss_reg: 0.3323 instance_segmentation_loss_poly: 1.1373 semantic_segmentation_loss_cls: 0.0814 2023/10/01 09:33:39 - mmengine - INFO - Iter(train) [ 25700/480000] base_lr: 1.9860e-04 lr: 5.2971e-05 eta: 12 days, 10:17:08 time: 2.5634 data_time: 0.1336 memory: 26633 grad_norm: 1.1795 loss: 1.7075 grounding_loss_reg: 6.5767 detection_loss_cls: 0.1451 detection_loss_reg: 0.6527 caption_loss_cls: 3.3082 instance_segmentation_loss_cls: 0.1013 instance_segmentation_loss_reg: 0.3325 instance_segmentation_loss_poly: 1.1382 semantic_segmentation_loss_cls: 0.0811 2023/10/01 09:37:59 - mmengine - INFO - Iter(train) [ 25800/480000] base_lr: 1.9859e-04 lr: 5.2968e-05 eta: 12 days, 10:41:52 time: 2.5739 data_time: 0.1336 memory: 26633 grad_norm: 1.1794 loss: 1.7117 grounding_loss_reg: 6.5731 detection_loss_cls: 0.1446 detection_loss_reg: 0.6517 caption_loss_cls: 3.3085 instance_segmentation_loss_cls: 0.1012 instance_segmentation_loss_reg: 0.3329 instance_segmentation_loss_poly: 1.1384 semantic_segmentation_loss_cls: 0.0810 2023/10/01 09:41:48 - mmengine - INFO - Iter(train) [ 25900/480000] base_lr: 1.9858e-04 lr: 5.2965e-05 eta: 12 days, 10:28:39 time: 2.5798 data_time: 0.1336 memory: 26633 grad_norm: 1.1762 loss: 1.7176 grounding_loss_reg: 6.5675 detection_loss_cls: 0.1442 detection_loss_reg: 0.6500 caption_loss_cls: 3.3058 instance_segmentation_loss_cls: 0.1007 instance_segmentation_loss_reg: 0.3324 instance_segmentation_loss_poly: 1.1370 semantic_segmentation_loss_cls: 0.0808 2023/10/01 09:46:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_050306 2023/10/01 09:46:20 - mmengine - INFO - Iter(train) [ 26000/480000] base_lr: 1.9857e-04 lr: 5.2963e-05 eta: 12 days, 11:05:18 time: 2.5904 data_time: 0.1337 memory: 25794 grad_norm: 1.1707 loss: 1.7073 grounding_loss_reg: 6.5635 detection_loss_cls: 0.1432 detection_loss_reg: 0.6473 caption_loss_cls: 3.3067 instance_segmentation_loss_cls: 0.1002 instance_segmentation_loss_reg: 0.3314 instance_segmentation_loss_poly: 1.1342 semantic_segmentation_loss_cls: 0.0804 2023/10/01 09:46:20 - mmengine - INFO - Saving checkpoint at 26000 iterations 2023/10/01 09:51:19 - mmengine - INFO - Iter(train) [ 26100/480000] base_lr: 1.9856e-04 lr: 5.2960e-05 eta: 12 days, 12:13:04 time: 2.5939 data_time: 0.1331 memory: 26633 grad_norm: 1.1715 loss: 1.7045 grounding_loss_reg: 6.5484 detection_loss_cls: 0.1431 detection_loss_reg: 0.6477 caption_loss_cls: 3.3007 instance_segmentation_loss_cls: 0.1001 instance_segmentation_loss_reg: 0.3312 instance_segmentation_loss_poly: 1.1333 semantic_segmentation_loss_cls: 0.0803 2023/10/01 09:55:24 - mmengine - INFO - Iter(train) [ 26200/480000] base_lr: 1.9855e-04 lr: 5.2957e-05 eta: 12 days, 12:17:05 time: 2.5896 data_time: 0.1330 memory: 25794 grad_norm: 1.1687 loss: 1.6986 grounding_loss_reg: 6.5414 detection_loss_cls: 0.1429 detection_loss_reg: 0.6474 caption_loss_cls: 3.3032 instance_segmentation_loss_cls: 0.0996 instance_segmentation_loss_reg: 0.3303 instance_segmentation_loss_poly: 1.1310 semantic_segmentation_loss_cls: 0.0799 2023/10/01 09:59:15 - mmengine - INFO - Iter(train) [ 26300/480000] base_lr: 1.9854e-04 lr: 5.2954e-05 eta: 12 days, 12:04:46 time: 2.5906 data_time: 0.1330 memory: 25794 grad_norm: 1.1619 loss: 1.6854 grounding_loss_reg: 6.5323 detection_loss_cls: 0.1423 detection_loss_reg: 0.6457 caption_loss_cls: 3.2946 instance_segmentation_loss_cls: 0.0994 instance_segmentation_loss_reg: 0.3301 instance_segmentation_loss_poly: 1.1300 semantic_segmentation_loss_cls: 0.0796 2023/10/01 10:41:26 - mmengine - INFO - Iter(train) [ 26400/480000] base_lr: 1.9853e-04 lr: 5.2951e-05 eta: 8 days, 4:59:13 time: 2.4957 data_time: 0.1182 memory: 26633 grad_norm: 1.1676 loss: 1.7095 grounding_loss_reg: 6.5189 detection_loss_cls: 0.1423 detection_loss_reg: 0.6465 caption_loss_cls: 3.3022 instance_segmentation_loss_cls: 0.0996 instance_segmentation_loss_reg: 0.3319 instance_segmentation_loss_poly: 1.1302 semantic_segmentation_loss_cls: 0.0794 2023/10/01 10:44:22 - mmengine - INFO - Iter(train) [ 26500/480000] base_lr: 1.9851e-04 lr: 5.2948e-05 eta: 8 days, 9:59:20 time: 2.4768 data_time: 0.1182 memory: 26633 grad_norm: 1.1661 loss: 1.7053 grounding_loss_reg: 6.5073 detection_loss_cls: 0.1418 detection_loss_reg: 0.6445 caption_loss_cls: 3.2971 instance_segmentation_loss_cls: 0.0991 instance_segmentation_loss_reg: 0.3309 instance_segmentation_loss_poly: 1.1272 semantic_segmentation_loss_cls: 0.0792 2023/10/01 10:44:22 - mmengine - INFO - Saving checkpoint at 26500 iterations 2023/10/01 10:48:05 - mmengine - INFO - Iter(train) [ 26600/480000] base_lr: 1.9850e-04 lr: 5.2945e-05 eta: 8 days, 23:02:30 time: 2.4541 data_time: 0.1178 memory: 26633 grad_norm: 1.1631 loss: 1.7028 grounding_loss_reg: 6.5024 detection_loss_cls: 0.1415 detection_loss_reg: 0.6434 caption_loss_cls: 3.2989 instance_segmentation_loss_cls: 0.0991 instance_segmentation_loss_reg: 0.3314 instance_segmentation_loss_poly: 1.1282 semantic_segmentation_loss_cls: 0.0790 2023/10/01 10:51:14 - mmengine - INFO - Iter(train) [ 26700/480000] base_lr: 1.9849e-04 lr: 5.2942e-05 eta: 9 days, 2:15:35 time: 2.4433 data_time: 0.1177 memory: 26633 grad_norm: 1.1570 loss: 1.6917 grounding_loss_reg: 6.4969 detection_loss_cls: 0.1414 detection_loss_reg: 0.6440 caption_loss_cls: 3.2941 instance_segmentation_loss_cls: 0.0988 instance_segmentation_loss_reg: 0.3308 instance_segmentation_loss_poly: 1.1258 semantic_segmentation_loss_cls: 0.0701 2023/10/01 10:54:36 - mmengine - INFO - Iter(train) [ 26800/480000] base_lr: 1.9848e-04 lr: 5.2940e-05 eta: 9 days, 6:48:40 time: 2.4270 data_time: 0.1177 memory: 26633 grad_norm: 1.1548 loss: 1.6899 grounding_loss_reg: 6.4945 detection_loss_cls: 0.1415 detection_loss_reg: 0.6451 caption_loss_cls: 3.2912 instance_segmentation_loss_cls: 0.0989 instance_segmentation_loss_reg: 0.3312 instance_segmentation_loss_poly: 1.1257 semantic_segmentation_loss_cls: 0.0601 2023/10/01 10:57:52 - mmengine - INFO - Iter(train) [ 26900/480000] base_lr: 1.9847e-04 lr: 5.2937e-05 eta: 9 days, 9:25:11 time: 2.4189 data_time: 0.1177 memory: 26633 grad_norm: 1.1479 loss: 1.6910 grounding_loss_reg: 6.4800 detection_loss_cls: 0.1411 detection_loss_reg: 0.6442 caption_loss_cls: 3.2961 instance_segmentation_loss_cls: 0.0987 instance_segmentation_loss_reg: 0.3311 instance_segmentation_loss_poly: 1.1251 semantic_segmentation_loss_cls: 0.0531 2023/10/01 11:01:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_100453 2023/10/01 11:01:03 - mmengine - INFO - Iter(train) [ 27000/480000] base_lr: 1.9846e-04 lr: 5.2934e-05 eta: 9 days, 10:50:24 time: 2.4070 data_time: 0.1177 memory: 26633 grad_norm: 1.1487 loss: 1.7013 grounding_loss_reg: 6.4709 detection_loss_cls: 0.1410 detection_loss_reg: 0.6451 caption_loss_cls: 3.2982 instance_segmentation_loss_cls: 0.0987 instance_segmentation_loss_reg: 0.3315 instance_segmentation_loss_poly: 1.1255 semantic_segmentation_loss_cls: 0.0507 2023/10/01 11:01:03 - mmengine - INFO - Saving checkpoint at 27000 iterations 2023/10/01 11:05:30 - mmengine - INFO - Iter(train) [ 27100/480000] base_lr: 1.9845e-04 lr: 5.2931e-05 eta: 9 days, 20:41:23 time: 2.4032 data_time: 0.1177 memory: 26633 grad_norm: 1.1417 loss: 1.6912 grounding_loss_reg: 6.4627 detection_loss_cls: 0.1405 detection_loss_reg: 0.6443 caption_loss_cls: 3.3004 instance_segmentation_loss_cls: 0.0984 instance_segmentation_loss_reg: 0.3309 instance_segmentation_loss_poly: 1.1234 semantic_segmentation_loss_cls: 0.0488 2023/10/01 11:08:42 - mmengine - INFO - Iter(train) [ 27200/480000] base_lr: 1.9844e-04 lr: 5.2928e-05 eta: 9 days, 21:00:45 time: 2.3864 data_time: 0.1176 memory: 25793 grad_norm: 1.1426 loss: 1.6916 grounding_loss_reg: 6.4538 detection_loss_cls: 0.1397 detection_loss_reg: 0.6406 caption_loss_cls: 3.2965 instance_segmentation_loss_cls: 0.0983 instance_segmentation_loss_reg: 0.3307 instance_segmentation_loss_poly: 1.1224 semantic_segmentation_loss_cls: 0.0432 2023/10/01 11:12:25 - mmengine - INFO - Iter(train) [ 27300/480000] base_lr: 1.9842e-04 lr: 5.2925e-05 eta: 10 days, 0:19:42 time: 2.3779 data_time: 0.1176 memory: 26633 grad_norm: 1.1384 loss: 1.6822 grounding_loss_reg: 6.4498 detection_loss_cls: 0.1400 detection_loss_reg: 0.6409 caption_loss_cls: 3.2911 instance_segmentation_loss_cls: 0.0980 instance_segmentation_loss_reg: 0.3298 instance_segmentation_loss_poly: 1.1195 semantic_segmentation_loss_cls: 0.0414 2023/10/01 11:15:55 - mmengine - INFO - Iter(train) [ 27400/480000] base_lr: 1.9841e-04 lr: 5.2922e-05 eta: 10 days, 1:55:37 time: 2.3738 data_time: 0.1176 memory: 26633 grad_norm: 1.1363 loss: 1.6780 grounding_loss_reg: 6.4362 detection_loss_cls: 0.1400 detection_loss_reg: 0.6414 caption_loss_cls: 3.2873 instance_segmentation_loss_cls: 0.0976 instance_segmentation_loss_reg: 0.3290 instance_segmentation_loss_poly: 1.1163 semantic_segmentation_loss_cls: 0.0394 2023/10/01 11:19:45 - mmengine - INFO - Iter(train) [ 27500/480000] base_lr: 1.9840e-04 lr: 5.2919e-05 eta: 10 days, 5:04:41 time: 2.3672 data_time: 0.1177 memory: 26633 grad_norm: 1.1349 loss: 1.6785 grounding_loss_reg: 6.4254 detection_loss_cls: 0.1396 detection_loss_reg: 0.6407 caption_loss_cls: 3.2816 instance_segmentation_loss_cls: 0.0971 instance_segmentation_loss_reg: 0.3285 instance_segmentation_loss_poly: 1.1152 semantic_segmentation_loss_cls: 0.0384 2023/10/01 11:19:45 - mmengine - INFO - Saving checkpoint at 27500 iterations 2023/10/01 11:24:18 - mmengine - INFO - Iter(train) [ 27600/480000] base_lr: 1.9839e-04 lr: 5.2916e-05 eta: 10 days, 11:07:48 time: 2.3591 data_time: 0.1178 memory: 26633 grad_norm: 1.1301 loss: 1.6684 grounding_loss_reg: 6.4193 detection_loss_cls: 0.1387 detection_loss_reg: 0.6376 caption_loss_cls: 3.2812 instance_segmentation_loss_cls: 0.0973 instance_segmentation_loss_reg: 0.3290 instance_segmentation_loss_poly: 1.1143 semantic_segmentation_loss_cls: 0.0369 2023/10/01 11:27:57 - mmengine - INFO - Iter(train) [ 27700/480000] base_lr: 1.9838e-04 lr: 5.2913e-05 eta: 10 days, 12:30:02 time: 2.3496 data_time: 0.1178 memory: 26633 grad_norm: 1.1308 loss: 1.6710 grounding_loss_reg: 6.4061 detection_loss_cls: 0.1381 detection_loss_reg: 0.6360 caption_loss_cls: 3.2782 instance_segmentation_loss_cls: 0.0971 instance_segmentation_loss_reg: 0.3295 instance_segmentation_loss_poly: 1.1159 semantic_segmentation_loss_cls: 0.0364 2023/10/01 11:31:43 - mmengine - INFO - Iter(train) [ 27800/480000] base_lr: 1.9837e-04 lr: 5.2910e-05 eta: 10 days, 14:10:00 time: 2.3490 data_time: 0.1178 memory: 26633 grad_norm: 1.1258 loss: 1.6682 grounding_loss_reg: 6.4026 detection_loss_cls: 0.1379 detection_loss_reg: 0.6366 caption_loss_cls: 3.2771 instance_segmentation_loss_cls: 0.0955 instance_segmentation_loss_reg: 0.3250 instance_segmentation_loss_poly: 1.1067 semantic_segmentation_loss_cls: 0.0358 2023/10/01 11:35:37 - mmengine - INFO - Iter(train) [ 27900/480000] base_lr: 1.9835e-04 lr: 5.2907e-05 eta: 10 days, 16:13:21 time: 2.3485 data_time: 0.1178 memory: 26633 grad_norm: 1.1244 loss: 1.6633 grounding_loss_reg: 6.3969 detection_loss_cls: 0.1376 detection_loss_reg: 0.6358 caption_loss_cls: 3.2702 instance_segmentation_loss_cls: 0.0953 instance_segmentation_loss_reg: 0.3246 instance_segmentation_loss_poly: 1.1063 semantic_segmentation_loss_cls: 0.0354 2023/10/01 11:39:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_100453 2023/10/01 11:39:15 - mmengine - INFO - Iter(train) [ 28000/480000] base_lr: 1.9834e-04 lr: 5.2904e-05 eta: 10 days, 17:02:29 time: 2.3440 data_time: 0.1179 memory: 26633 grad_norm: 1.1204 loss: 1.6645 grounding_loss_reg: 6.3926 detection_loss_cls: 0.1374 detection_loss_reg: 0.6344 caption_loss_cls: 3.2702 instance_segmentation_loss_cls: 0.0953 instance_segmentation_loss_reg: 0.3249 instance_segmentation_loss_poly: 1.1067 semantic_segmentation_loss_cls: 0.0347 2023/10/01 11:39:15 - mmengine - INFO - Saving checkpoint at 28000 iterations 2023/10/01 11:43:45 - mmengine - INFO - Iter(train) [ 28100/480000] base_lr: 1.9833e-04 lr: 5.2901e-05 eta: 10 days, 20:52:31 time: 2.3340 data_time: 0.1177 memory: 26633 grad_norm: 1.1170 loss: 1.6582 grounding_loss_reg: 6.3909 detection_loss_cls: 0.1370 detection_loss_reg: 0.6343 caption_loss_cls: 3.2684 instance_segmentation_loss_cls: 0.0950 instance_segmentation_loss_reg: 0.3245 instance_segmentation_loss_poly: 1.1045 semantic_segmentation_loss_cls: 0.0340 2023/10/01 11:47:38 - mmengine - INFO - Iter(train) [ 28200/480000] base_lr: 1.9832e-04 lr: 5.2897e-05 eta: 10 days, 22:15:53 time: 2.3282 data_time: 0.1178 memory: 26633 grad_norm: 1.1203 loss: 1.6670 grounding_loss_reg: 6.3807 detection_loss_cls: 0.1369 detection_loss_reg: 0.6342 caption_loss_cls: 3.2687 instance_segmentation_loss_cls: 0.0946 instance_segmentation_loss_reg: 0.3235 instance_segmentation_loss_poly: 1.1005 semantic_segmentation_loss_cls: 0.0336 2023/10/01 11:51:25 - mmengine - INFO - Iter(train) [ 28300/480000] base_lr: 1.9831e-04 lr: 5.2894e-05 eta: 10 days, 23:10:37 time: 2.3151 data_time: 0.1177 memory: 25793 grad_norm: 1.1167 loss: 1.6708 grounding_loss_reg: 6.3754 detection_loss_cls: 0.1369 detection_loss_reg: 0.6341 caption_loss_cls: 3.2676 instance_segmentation_loss_cls: 0.0946 instance_segmentation_loss_reg: 0.3235 instance_segmentation_loss_poly: 1.1003 semantic_segmentation_loss_cls: 0.0327 2023/10/01 11:54:56 - mmengine - INFO - Iter(train) [ 28400/480000] base_lr: 1.9829e-04 lr: 5.2891e-05 eta: 10 days, 23:12:57 time: 2.3141 data_time: 0.1175 memory: 25793 grad_norm: 1.1196 loss: 1.6734 grounding_loss_reg: 6.3686 detection_loss_cls: 0.1367 detection_loss_reg: 0.6329 caption_loss_cls: 3.2644 instance_segmentation_loss_cls: 0.0943 instance_segmentation_loss_reg: 0.3232 instance_segmentation_loss_poly: 1.0993 semantic_segmentation_loss_cls: 0.0326 2023/10/01 11:58:55 - mmengine - INFO - Iter(train) [ 28500/480000] base_lr: 1.9828e-04 lr: 5.2888e-05 eta: 11 days, 0:37:07 time: 2.3197 data_time: 0.1175 memory: 25793 grad_norm: 1.1165 loss: 1.6716 grounding_loss_reg: 6.3686 detection_loss_cls: 0.1364 detection_loss_reg: 0.6314 caption_loss_cls: 3.2669 instance_segmentation_loss_cls: 0.0943 instance_segmentation_loss_reg: 0.3235 instance_segmentation_loss_poly: 1.1004 semantic_segmentation_loss_cls: 0.0324 2023/10/01 11:58:55 - mmengine - INFO - Saving checkpoint at 28500 iterations 2023/10/01 12:03:36 - mmengine - INFO - Iter(train) [ 28600/480000] base_lr: 1.9827e-04 lr: 5.2885e-05 eta: 11 days, 3:55:52 time: 2.3111 data_time: 0.1176 memory: 26633 grad_norm: 1.1179 loss: 1.6786 grounding_loss_reg: 6.3631 detection_loss_cls: 0.1362 detection_loss_reg: 0.6301 caption_loss_cls: 3.2679 instance_segmentation_loss_cls: 0.0939 instance_segmentation_loss_reg: 0.3233 instance_segmentation_loss_poly: 1.1007 semantic_segmentation_loss_cls: 0.0322 2023/10/01 12:08:06 - mmengine - INFO - Iter(train) [ 28700/480000] base_lr: 1.9826e-04 lr: 5.2882e-05 eta: 11 days, 6:27:14 time: 2.3154 data_time: 0.1176 memory: 26633 grad_norm: 1.1154 loss: 1.6728 grounding_loss_reg: 6.3567 detection_loss_cls: 0.1361 detection_loss_reg: 0.6297 caption_loss_cls: 3.2668 instance_segmentation_loss_cls: 0.0931 instance_segmentation_loss_reg: 0.3216 instance_segmentation_loss_poly: 1.0961 semantic_segmentation_loss_cls: 0.0320 2023/10/01 12:11:51 - mmengine - INFO - Iter(train) [ 28800/480000] base_lr: 1.9825e-04 lr: 5.2879e-05 eta: 11 days, 6:49:00 time: 2.3085 data_time: 0.1176 memory: 26633 grad_norm: 1.1211 loss: 1.6852 grounding_loss_reg: 6.3467 detection_loss_cls: 0.1366 detection_loss_reg: 0.6310 caption_loss_cls: 3.2649 instance_segmentation_loss_cls: 0.0925 instance_segmentation_loss_reg: 0.3206 instance_segmentation_loss_poly: 1.0934 semantic_segmentation_loss_cls: 0.0317 2023/10/01 12:15:42 - mmengine - INFO - Iter(train) [ 28900/480000] base_lr: 1.9823e-04 lr: 5.2876e-05 eta: 11 days, 7:24:01 time: 2.3037 data_time: 0.1176 memory: 26633 grad_norm: 1.1169 loss: 1.6829 grounding_loss_reg: 6.3402 detection_loss_cls: 0.1361 detection_loss_reg: 0.6299 caption_loss_cls: 3.2657 instance_segmentation_loss_cls: 0.0922 instance_segmentation_loss_reg: 0.3205 instance_segmentation_loss_poly: 1.0917 semantic_segmentation_loss_cls: 0.0312 2023/10/01 12:19:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_100453 2023/10/01 12:19:45 - mmengine - INFO - Iter(train) [ 29000/480000] base_lr: 1.9822e-04 lr: 5.2872e-05 eta: 11 days, 8:26:44 time: 2.2921 data_time: 0.1175 memory: 26633 grad_norm: 1.1213 loss: 1.6924 grounding_loss_reg: 6.3371 detection_loss_cls: 0.1361 detection_loss_reg: 0.6305 caption_loss_cls: 3.2679 instance_segmentation_loss_cls: 0.0918 instance_segmentation_loss_reg: 0.3193 instance_segmentation_loss_poly: 1.0884 semantic_segmentation_loss_cls: 0.0309 2023/10/01 12:19:45 - mmengine - INFO - Saving checkpoint at 29000 iterations 2023/10/01 12:24:36 - mmengine - INFO - Iter(train) [ 29100/480000] base_lr: 1.9821e-04 lr: 5.2869e-05 eta: 11 days, 11:22:27 time: 2.2839 data_time: 0.1173 memory: 26633 grad_norm: 1.1289 loss: 1.7029 grounding_loss_reg: 6.3275 detection_loss_cls: 0.1361 detection_loss_reg: 0.6306 caption_loss_cls: 3.2635 instance_segmentation_loss_cls: 0.0914 instance_segmentation_loss_reg: 0.3181 instance_segmentation_loss_poly: 1.0840 semantic_segmentation_loss_cls: 0.0307 2023/10/01 12:28:20 - mmengine - INFO - Iter(train) [ 29200/480000] base_lr: 1.9820e-04 lr: 5.2866e-05 eta: 11 days, 11:27:58 time: 2.2801 data_time: 0.1173 memory: 26633 grad_norm: 1.1286 loss: 1.7016 grounding_loss_reg: 6.3232 detection_loss_cls: 0.1356 detection_loss_reg: 0.6293 caption_loss_cls: 3.2602 instance_segmentation_loss_cls: 0.0907 instance_segmentation_loss_reg: 0.3164 instance_segmentation_loss_poly: 1.0799 semantic_segmentation_loss_cls: 0.0305 2023/10/01 12:32:39 - mmengine - INFO - Iter(train) [ 29300/480000] base_lr: 1.9819e-04 lr: 5.2863e-05 eta: 11 days, 12:53:42 time: 2.2828 data_time: 0.1174 memory: 26633 grad_norm: 1.1306 loss: 1.7036 grounding_loss_reg: 6.3212 detection_loss_cls: 0.1353 detection_loss_reg: 0.6287 caption_loss_cls: 3.2595 instance_segmentation_loss_cls: 0.0904 instance_segmentation_loss_reg: 0.3158 instance_segmentation_loss_poly: 1.0778 semantic_segmentation_loss_cls: 0.0303 2023/10/01 12:36:24 - mmengine - INFO - Iter(train) [ 29400/480000] base_lr: 1.9817e-04 lr: 5.2860e-05 eta: 11 days, 12:56:54 time: 2.2710 data_time: 0.1174 memory: 26633 grad_norm: 1.1338 loss: 1.7076 grounding_loss_reg: 6.3184 detection_loss_cls: 0.1353 detection_loss_reg: 0.6293 caption_loss_cls: 3.2594 instance_segmentation_loss_cls: 0.0903 instance_segmentation_loss_reg: 0.3160 instance_segmentation_loss_poly: 1.0787 semantic_segmentation_loss_cls: 0.0301 2023/10/01 12:40:25 - mmengine - INFO - Iter(train) [ 29500/480000] base_lr: 1.9816e-04 lr: 5.2856e-05 eta: 11 days, 13:37:09 time: 2.2738 data_time: 0.1174 memory: 26633 grad_norm: 1.1306 loss: 1.7062 grounding_loss_reg: 6.3114 detection_loss_cls: 0.1356 detection_loss_reg: 0.6308 caption_loss_cls: 3.2580 instance_segmentation_loss_cls: 0.0901 instance_segmentation_loss_reg: 0.3150 instance_segmentation_loss_poly: 1.0752 semantic_segmentation_loss_cls: 0.0297 2023/10/01 12:40:25 - mmengine - INFO - Saving checkpoint at 29500 iterations 2023/10/01 12:45:00 - mmengine - INFO - Iter(train) [ 29600/480000] base_lr: 1.9815e-04 lr: 5.2853e-05 eta: 11 days, 15:22:29 time: 2.2682 data_time: 0.1167 memory: 26633 grad_norm: 1.1363 loss: 1.7154 grounding_loss_reg: 6.3057 detection_loss_cls: 0.1358 detection_loss_reg: 0.6313 caption_loss_cls: 3.2544 instance_segmentation_loss_cls: 0.0898 instance_segmentation_loss_reg: 0.3145 instance_segmentation_loss_poly: 1.0738 semantic_segmentation_loss_cls: 0.0295 2023/10/01 12:49:20 - mmengine - INFO - Iter(train) [ 29700/480000] base_lr: 1.9814e-04 lr: 5.2850e-05 eta: 11 days, 16:33:30 time: 2.2649 data_time: 0.1167 memory: 26633 grad_norm: 1.1357 loss: 1.7076 grounding_loss_reg: 6.3057 detection_loss_cls: 0.1364 detection_loss_reg: 0.6329 caption_loss_cls: 3.2501 instance_segmentation_loss_cls: 0.0895 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 1.0714 semantic_segmentation_loss_cls: 0.0292 2023/10/01 12:53:35 - mmengine - INFO - Iter(train) [ 29800/480000] base_lr: 1.9812e-04 lr: 5.2847e-05 eta: 11 days, 17:31:48 time: 2.2638 data_time: 0.1167 memory: 26633 grad_norm: 1.1352 loss: 1.7017 grounding_loss_reg: 6.3056 detection_loss_cls: 0.1358 detection_loss_reg: 0.6298 caption_loss_cls: 3.2474 instance_segmentation_loss_cls: 0.0893 instance_segmentation_loss_reg: 0.3140 instance_segmentation_loss_poly: 1.0717 semantic_segmentation_loss_cls: 0.0289 2023/10/01 12:57:26 - mmengine - INFO - Iter(train) [ 29900/480000] base_lr: 1.9811e-04 lr: 5.2843e-05 eta: 11 days, 17:38:59 time: 2.2643 data_time: 0.1167 memory: 26633 grad_norm: 1.1337 loss: 1.6985 grounding_loss_reg: 6.3011 detection_loss_cls: 0.1356 detection_loss_reg: 0.6289 caption_loss_cls: 3.2459 instance_segmentation_loss_cls: 0.0891 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 1.0707 semantic_segmentation_loss_cls: 0.0286 2023/10/01 13:01:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_100453 2023/10/01 13:01:44 - mmengine - INFO - Iter(train) [ 30000/480000] base_lr: 1.9810e-04 lr: 5.2840e-05 eta: 11 days, 18:35:53 time: 2.2608 data_time: 0.1167 memory: 26633 grad_norm: 1.1396 loss: 1.7075 grounding_loss_reg: 6.2964 detection_loss_cls: 0.1347 detection_loss_reg: 0.6251 caption_loss_cls: 3.2477 instance_segmentation_loss_cls: 0.0890 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 1.0700 semantic_segmentation_loss_cls: 0.0285 2023/10/01 13:01:44 - mmengine - INFO - Saving checkpoint at 30000 iterations 2023/10/01 13:07:27 - mmengine - INFO - Evaluating bbox... 2023/10/01 13:08:34 - mmengine - INFO - bbox_mAP_copypaste: 0.059 0.107 0.061 0.039 0.098 0.058 2023/10/01 13:08:34 - mmengine - INFO - Evaluating segm... 2023/10/01 13:09:51 - mmengine - INFO - segm_mAP_copypaste: 0.030 0.075 0.017 0.014 0.055 0.043 2023/10/01 13:11:15 - mmengine - INFO - Evaluating bbox... 2023/10/01 13:12:25 - mmengine - INFO - bbox_mAP_copypaste: 0.122 0.223 0.127 0.068 0.173 0.147 2023/10/01 13:16:12 - mmengine - INFO - per class results: 2023/10/01 13:16:12 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 67.81 | 84.04 | | building | 66.76 | 75.66 | | sky | 90.2 | 96.58 | | floor | 72.75 | 79.95 | | tree | 66.2 | 87.87 | | ceiling | 77.12 | 89.25 | | road | 70.29 | 90.14 | | bed | 71.18 | 91.3 | | windowpane | 49.93 | 75.66 | | grass | 58.41 | 89.95 | | cabinet | 50.42 | 69.19 | | sidewalk | 38.42 | 42.78 | | person | 70.74 | 92.02 | | earth | 24.14 | 35.02 | | door | 29.96 | 42.83 | | table | 33.66 | 67.93 | | mountain | 47.36 | 61.24 | | plant | 34.56 | 38.95 | | curtain | 57.87 | 72.79 | | chair | 42.05 | 65.08 | | car | 72.59 | 82.69 | | water | 44.19 | 76.93 | | painting | 54.85 | 80.05 | | sofa | 50.01 | 72.82 | | shelf | 6.54 | 6.87 | | house | 20.53 | 82.4 | | sea | 41.17 | 57.92 | | mirror | 19.18 | 20.29 | | rug | 50.55 | 63.61 | | field | 15.44 | 18.47 | | armchair | 16.81 | 21.89 | | seat | 38.73 | 45.15 | | fence | 26.11 | 44.68 | | desk | 16.01 | 21.87 | | rock | 36.93 | 69.35 | | wardrobe | 11.73 | 12.28 | | lamp | 9.95 | 10.25 | | bathtub | 47.0 | 60.47 | | railing | 15.08 | 17.86 | | cushion | 23.16 | 25.15 | | base | 1.68 | 1.91 | | box | 15.1 | 18.95 | | column | 19.8 | 21.02 | | signboard | 22.88 | 26.78 | | chest of drawers | 11.42 | 19.35 | | counter | 7.4 | 16.89 | | sand | 28.44 | 38.44 | | sink | 27.66 | 29.88 | | skyscraper | 28.93 | 36.88 | | fireplace | 42.91 | 52.53 | | refrigerator | 35.53 | 62.08 | | grandstand | 0.73 | 0.73 | | path | 16.93 | 34.92 | | stairs | 24.07 | 38.11 | | runway | 4.93 | 5.01 | | case | 36.12 | 64.77 | | pool table | 75.09 | 82.46 | | pillow | 3.59 | 4.01 | | screen door | 29.77 | 51.05 | | stairway | 18.08 | 20.73 | | river | 11.14 | 13.92 | | bridge | 38.93 | 73.18 | | bookcase | 10.35 | 53.73 | | blind | 0.0 | 0.0 | | coffee table | 1.43 | 2.08 | | toilet | 69.34 | 80.62 | | flower | 19.08 | 31.85 | | book | 31.05 | 55.89 | | hill | 0.65 | 0.71 | | bench | 29.58 | 58.93 | | countertop | 5.62 | 6.23 | | stove | 17.52 | 18.87 | | palm | 35.3 | 56.83 | | kitchen island | 0.0 | 0.0 | | computer | 48.64 | 64.3 | | swivel chair | 0.4 | 0.45 | | boat | 59.82 | 70.36 | | bar | 0.78 | 0.8 | | arcade machine | 0.44 | 0.44 | | hovel | 0.0 | 0.0 | | bus | 70.31 | 92.19 | | towel | 38.76 | 42.82 | | light | 4.67 | 15.36 | | truck | 12.36 | 75.77 | | tower | 22.72 | 41.48 | | chandelier | 4.82 | 4.98 | | awning | 0.0 | 0.0 | | streetlight | 2.6 | 2.68 | | booth | 12.88 | 15.19 | | television receiver | 16.38 | 16.48 | | airplane | 27.1 | 90.34 | | dirt track | 0.0 | 0.0 | | apparel | 15.15 | 24.31 | | pole | 13.75 | 28.15 | | land | 0.02 | 0.02 | | bannister | 0.08 | 0.09 | | escalator | 0.0 | 0.0 | | ottoman | 1.04 | 1.04 | | bottle | 19.9 | 28.13 | | buffet | 24.45 | 47.4 | | poster | 0.0 | 0.0 | | stage | 2.51 | 4.59 | | van | 3.68 | 3.81 | | ship | 1.46 | 2.22 | | fountain | 5.1 | 5.75 | | conveyer belt | 35.96 | 43.01 | | canopy | 0.0 | 0.0 | | washer | 0.0 | 0.0 | | plaything | 0.73 | 0.75 | | swimming pool | 0.23 | 0.23 | | stool | 0.0 | 0.0 | | barrel | 5.77 | 12.55 | | basket | 7.04 | 7.18 | | waterfall | 2.77 | 2.77 | | tent | 79.86 | 87.22 | | bag | 11.63 | 12.9 | | minibike | 54.46 | 57.65 | | cradle | 29.07 | 31.81 | | oven | 8.04 | 47.09 | | ball | 41.88 | 50.69 | | food | 22.88 | 26.47 | | step | 1.32 | 1.57 | | tank | 0.46 | 0.46 | | trade name | 0.0 | 0.0 | | microwave | 63.04 | 83.05 | | pot | 34.32 | 44.03 | | animal | 26.3 | 27.39 | | bicycle | 33.35 | 81.12 | | lake | 0.0 | 0.0 | | dishwasher | 0.0 | 0.0 | | screen | 34.52 | 51.65 | | blanket | 0.0 | 0.0 | | sculpture | 19.54 | 21.0 | | hood | 0.0 | 0.0 | | sconce | 0.0 | 0.0 | | vase | 16.15 | 35.44 | | traffic light | 18.31 | 20.75 | | tray | 1.71 | 2.34 | | ashcan | 18.81 | 25.34 | | fan | 0.12 | 0.12 | | pier | 33.94 | 55.7 | | crt screen | 0.0 | 0.0 | | plate | 0.43 | 0.43 | | monitor | 0.08 | 0.08 | | bulletin board | 0.0 | 0.0 | | shower | 0.0 | 0.0 | | radiator | 0.0 | 0.0 | | glass | 1.01 | 1.04 | | clock | 11.8 | 14.14 | | flag | 29.98 | 31.77 | +---------------------+-------+-------+ 2023/10/01 13:16:39 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.1220 coco/bbox_mAP_50: 0.2230 coco/bbox_mAP_75: 0.1270 coco/bbox_mAP_s: 0.0680 coco/bbox_mAP_m: 0.1730 coco/bbox_mAP_l: 0.1470 coco/segm_mAP: 0.0300 coco/segm_mAP_50: 0.0750 coco/segm_mAP_75: 0.0170 coco/segm_mAP_s: 0.0140 coco/segm_mAP_m: 0.0550 coco/segm_mAP_l: 0.0430 Bleu_1: 0.5426 Bleu_2: 0.3832 Bleu_3: 0.2664 Bleu_4: 0.1867 METEOR: 0.1881 ROUGE_L: 0.4423 CIDEr: 0.5868 SPICE: 0.1318 aAcc: 72.0900 mIoU: 23.4200 mAcc: 33.1700 visual-grounding/miou: 0.3855 visual-grounding/acc: 0.3921 data_time: 0.0020 time: 0.2493 2023/10/01 13:20:23 - mmengine - INFO - Iter(train) [ 30100/480000] base_lr: 1.9809e-04 lr: 5.2837e-05 eta: 11 days, 18:33:55 time: 2.2795 data_time: 0.1175 memory: 27909 grad_norm: 1.1371 loss: 1.7008 grounding_loss_reg: 6.2912 detection_loss_cls: 0.1345 detection_loss_reg: 0.6245 caption_loss_cls: 3.2496 instance_segmentation_loss_cls: 0.0887 instance_segmentation_loss_reg: 0.3126 instance_segmentation_loss_poly: 1.0689 semantic_segmentation_loss_cls: 0.0275 2023/10/01 13:24:32 - mmengine - INFO - Iter(train) [ 30200/480000] base_lr: 1.9807e-04 lr: 5.2834e-05 eta: 11 days, 19:11:39 time: 2.3043 data_time: 0.1176 memory: 26632 grad_norm: 1.1362 loss: 1.7012 grounding_loss_reg: 6.2905 detection_loss_cls: 0.1344 detection_loss_reg: 0.6235 caption_loss_cls: 3.2503 instance_segmentation_loss_cls: 0.0888 instance_segmentation_loss_reg: 0.3125 instance_segmentation_loss_poly: 1.0677 semantic_segmentation_loss_cls: 0.0273 2023/10/01 13:28:02 - mmengine - INFO - Iter(train) [ 30300/480000] base_lr: 1.9806e-04 lr: 5.2830e-05 eta: 11 days, 18:39:23 time: 2.3170 data_time: 0.1175 memory: 25793 grad_norm: 1.1368 loss: 1.6943 grounding_loss_reg: 6.2847 detection_loss_cls: 0.1346 detection_loss_reg: 0.6252 caption_loss_cls: 3.2467 instance_segmentation_loss_cls: 0.0888 instance_segmentation_loss_reg: 0.3123 instance_segmentation_loss_poly: 1.0666 semantic_segmentation_loss_cls: 0.0270 2023/10/01 13:31:50 - mmengine - INFO - Iter(train) [ 30400/480000] base_lr: 1.9805e-04 lr: 5.2827e-05 eta: 11 days, 18:38:29 time: 2.3331 data_time: 0.1175 memory: 26632 grad_norm: 1.1358 loss: 1.6933 grounding_loss_reg: 6.2798 detection_loss_cls: 0.1350 detection_loss_reg: 0.6260 caption_loss_cls: 3.2427 instance_segmentation_loss_cls: 0.0881 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 1.0611 semantic_segmentation_loss_cls: 0.0268 2023/10/01 13:35:41 - mmengine - INFO - Iter(train) [ 30500/480000] base_lr: 1.9803e-04 lr: 5.2824e-05 eta: 11 days, 18:42:56 time: 2.3468 data_time: 0.1175 memory: 26632 grad_norm: 1.1363 loss: 1.6964 grounding_loss_reg: 6.2705 detection_loss_cls: 0.1348 detection_loss_reg: 0.6255 caption_loss_cls: 3.2416 instance_segmentation_loss_cls: 0.0879 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 1.0591 semantic_segmentation_loss_cls: 0.0266 2023/10/01 13:35:41 - mmengine - INFO - Saving checkpoint at 30500 iterations 2023/10/01 13:40:41 - mmengine - INFO - Iter(train) [ 30600/480000] base_lr: 1.9802e-04 lr: 5.2820e-05 eta: 11 days, 20:37:24 time: 2.3659 data_time: 0.1187 memory: 26632 grad_norm: 1.1331 loss: 1.6937 grounding_loss_reg: 6.2645 detection_loss_cls: 0.1345 detection_loss_reg: 0.6247 caption_loss_cls: 3.2462 instance_segmentation_loss_cls: 0.0879 instance_segmentation_loss_reg: 0.3101 instance_segmentation_loss_poly: 1.0605 semantic_segmentation_loss_cls: 0.0263 2023/10/01 13:44:45 - mmengine - INFO - Iter(train) [ 30700/480000] base_lr: 1.9801e-04 lr: 5.2817e-05 eta: 11 days, 21:00:17 time: 2.3799 data_time: 0.1188 memory: 26632 grad_norm: 1.1326 loss: 1.7000 grounding_loss_reg: 6.2628 detection_loss_cls: 0.1348 detection_loss_reg: 0.6269 caption_loss_cls: 3.2411 instance_segmentation_loss_cls: 0.0879 instance_segmentation_loss_reg: 0.3106 instance_segmentation_loss_poly: 1.0616 semantic_segmentation_loss_cls: 0.0262 2023/10/01 13:49:13 - mmengine - INFO - Iter(train) [ 30800/480000] base_lr: 1.9800e-04 lr: 5.2814e-05 eta: 11 days, 21:57:30 time: 2.3961 data_time: 0.1189 memory: 26632 grad_norm: 1.1345 loss: 1.7032 grounding_loss_reg: 6.2577 detection_loss_cls: 0.1349 detection_loss_reg: 0.6276 caption_loss_cls: 3.2435 instance_segmentation_loss_cls: 0.0878 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 1.0611 semantic_segmentation_loss_cls: 0.0261 2023/10/01 13:52:33 - mmengine - INFO - Iter(train) [ 30900/480000] base_lr: 1.9798e-04 lr: 5.2810e-05 eta: 11 days, 21:09:17 time: 2.3971 data_time: 0.1188 memory: 25793 grad_norm: 1.1357 loss: 1.7092 grounding_loss_reg: 6.2517 detection_loss_cls: 0.1345 detection_loss_reg: 0.6270 caption_loss_cls: 3.2500 instance_segmentation_loss_cls: 0.0878 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 1.0608 semantic_segmentation_loss_cls: 0.0260 2023/10/01 13:55:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_100453 2023/10/01 13:55:56 - mmengine - INFO - Iter(train) [ 31000/480000] base_lr: 1.9797e-04 lr: 5.2807e-05 eta: 11 days, 20:27:29 time: 2.4002 data_time: 0.1188 memory: 26632 grad_norm: 1.1346 loss: 1.6997 grounding_loss_reg: 6.2460 detection_loss_cls: 0.1335 detection_loss_reg: 0.6244 caption_loss_cls: 3.2416 instance_segmentation_loss_cls: 0.0875 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 1.0593 semantic_segmentation_loss_cls: 0.0259 2023/10/01 13:55:56 - mmengine - INFO - Saving checkpoint at 31000 iterations 2023/10/01 14:01:11 - mmengine - INFO - Iter(train) [ 31100/480000] base_lr: 1.9796e-04 lr: 5.2803e-05 eta: 11 days, 22:30:34 time: 2.4122 data_time: 0.1199 memory: 26632 grad_norm: 1.1329 loss: 1.6978 grounding_loss_reg: 6.2402 detection_loss_cls: 0.1328 detection_loss_reg: 0.6219 caption_loss_cls: 3.2420 instance_segmentation_loss_cls: 0.0867 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 1.0580 semantic_segmentation_loss_cls: 0.0258 2023/10/01 14:05:16 - mmengine - INFO - Iter(train) [ 31200/480000] base_lr: 1.9794e-04 lr: 5.2800e-05 eta: 11 days, 22:49:47 time: 2.4257 data_time: 0.1200 memory: 26632 grad_norm: 1.1331 loss: 1.7021 grounding_loss_reg: 6.2289 detection_loss_cls: 0.1324 detection_loss_reg: 0.6205 caption_loss_cls: 3.2389 instance_segmentation_loss_cls: 0.0865 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 1.0564 semantic_segmentation_loss_cls: 0.0256 2023/10/01 14:09:29 - mmengine - INFO - Iter(train) [ 31300/480000] base_lr: 1.9793e-04 lr: 5.2797e-05 eta: 11 days, 23:17:35 time: 2.4330 data_time: 0.1201 memory: 26632 grad_norm: 1.1322 loss: 1.7065 grounding_loss_reg: 6.2222 detection_loss_cls: 0.1322 detection_loss_reg: 0.6187 caption_loss_cls: 3.2390 instance_segmentation_loss_cls: 0.0866 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 1.0564 semantic_segmentation_loss_cls: 0.0254 2023/10/01 14:13:16 - mmengine - INFO - Iter(train) [ 31400/480000] base_lr: 1.9792e-04 lr: 5.2793e-05 eta: 11 days, 23:08:37 time: 2.4373 data_time: 0.1202 memory: 26632 grad_norm: 1.1308 loss: 1.7070 grounding_loss_reg: 6.2170 detection_loss_cls: 0.1321 detection_loss_reg: 0.6185 caption_loss_cls: 3.2400 instance_segmentation_loss_cls: 0.0866 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 1.0567 semantic_segmentation_loss_cls: 0.0252 2023/10/01 14:17:39 - mmengine - INFO - Iter(train) [ 31500/480000] base_lr: 1.9790e-04 lr: 5.2790e-05 eta: 11 days, 23:48:43 time: 2.4453 data_time: 0.1202 memory: 26632 grad_norm: 1.1297 loss: 1.7070 grounding_loss_reg: 6.2124 detection_loss_cls: 0.1321 detection_loss_reg: 0.6187 caption_loss_cls: 3.2396 instance_segmentation_loss_cls: 0.0866 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 1.0569 semantic_segmentation_loss_cls: 0.0251 2023/10/01 14:17:39 - mmengine - INFO - Saving checkpoint at 31500 iterations 2023/10/01 14:22:45 - mmengine - INFO - Iter(train) [ 31600/480000] base_lr: 1.9789e-04 lr: 5.2786e-05 eta: 12 days, 1:25:20 time: 2.4537 data_time: 0.1206 memory: 26632 grad_norm: 1.1255 loss: 1.7024 grounding_loss_reg: 6.2083 detection_loss_cls: 0.1322 detection_loss_reg: 0.6199 caption_loss_cls: 3.2426 instance_segmentation_loss_cls: 0.0867 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 1.0573 semantic_segmentation_loss_cls: 0.0248 2023/10/01 14:26:31 - mmengine - INFO - Iter(train) [ 31700/480000] base_lr: 1.9788e-04 lr: 5.2783e-05 eta: 12 days, 1:12:57 time: 2.4554 data_time: 0.1206 memory: 26632 grad_norm: 1.1253 loss: 1.7011 grounding_loss_reg: 6.2034 detection_loss_cls: 0.1320 detection_loss_reg: 0.6189 caption_loss_cls: 3.2399 instance_segmentation_loss_cls: 0.0867 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 1.0586 semantic_segmentation_loss_cls: 0.0246 2023/10/01 14:30:31 - mmengine - INFO - Iter(train) [ 31800/480000] base_lr: 1.9786e-04 lr: 5.2779e-05 eta: 12 days, 1:19:44 time: 2.4591 data_time: 0.1206 memory: 25793 grad_norm: 1.1253 loss: 1.7000 grounding_loss_reg: 6.2001 detection_loss_cls: 0.1318 detection_loss_reg: 0.6176 caption_loss_cls: 3.2342 instance_segmentation_loss_cls: 0.0866 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 1.0568 semantic_segmentation_loss_cls: 0.0245 2023/10/01 14:34:41 - mmengine - INFO - Iter(train) [ 31900/480000] base_lr: 1.9785e-04 lr: 5.2776e-05 eta: 12 days, 1:38:22 time: 2.4631 data_time: 0.1206 memory: 25793 grad_norm: 1.1225 loss: 1.6977 grounding_loss_reg: 6.1960 detection_loss_cls: 0.1319 detection_loss_reg: 0.6172 caption_loss_cls: 3.2281 instance_segmentation_loss_cls: 0.0865 instance_segmentation_loss_reg: 0.3110 instance_segmentation_loss_poly: 1.0566 semantic_segmentation_loss_cls: 0.0244 2023/10/01 14:38:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_100453 2023/10/01 14:38:27 - mmengine - INFO - Iter(train) [ 32000/480000] base_lr: 1.9784e-04 lr: 5.2772e-05 eta: 12 days, 1:25:31 time: 2.4650 data_time: 0.1206 memory: 26632 grad_norm: 1.1247 loss: 1.6976 grounding_loss_reg: 6.1933 detection_loss_cls: 0.1319 detection_loss_reg: 0.6179 caption_loss_cls: 3.2280 instance_segmentation_loss_cls: 0.0861 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 1.0560 semantic_segmentation_loss_cls: 0.0244 2023/10/01 14:38:27 - mmengine - INFO - Saving checkpoint at 32000 iterations 2023/10/01 14:43:17 - mmengine - INFO - Iter(train) [ 32100/480000] base_lr: 1.9782e-04 lr: 5.2769e-05 eta: 12 days, 2:31:38 time: 2.4700 data_time: 0.1220 memory: 26632 grad_norm: 1.1244 loss: 1.6995 grounding_loss_reg: 6.1907 detection_loss_cls: 0.1321 detection_loss_reg: 0.6176 caption_loss_cls: 3.2292 instance_segmentation_loss_cls: 0.0863 instance_segmentation_loss_reg: 0.3110 instance_segmentation_loss_poly: 1.0570 semantic_segmentation_loss_cls: 0.0242 2023/10/01 14:47:26 - mmengine - INFO - Iter(train) [ 32200/480000] base_lr: 1.9781e-04 lr: 5.2765e-05 eta: 12 days, 2:47:06 time: 2.4741 data_time: 0.1220 memory: 26632 grad_norm: 1.1180 loss: 1.6900 grounding_loss_reg: 6.1880 detection_loss_cls: 0.1319 detection_loss_reg: 0.6170 caption_loss_cls: 3.2331 instance_segmentation_loss_cls: 0.0858 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 1.0545 semantic_segmentation_loss_cls: 0.0241 2023/10/01 14:51:37 - mmengine - INFO - Iter(train) [ 32300/480000] base_lr: 1.9780e-04 lr: 5.2762e-05 eta: 12 days, 3:03:47 time: 2.4802 data_time: 0.1221 memory: 26632 grad_norm: 1.1179 loss: 1.6888 grounding_loss_reg: 6.1814 detection_loss_cls: 0.1324 detection_loss_reg: 0.6193 caption_loss_cls: 3.2270 instance_segmentation_loss_cls: 0.0855 instance_segmentation_loss_reg: 0.3092 instance_segmentation_loss_poly: 1.0531 semantic_segmentation_loss_cls: 0.0239 2023/10/01 14:55:18 - mmengine - INFO - Iter(train) [ 32400/480000] base_lr: 1.9778e-04 lr: 5.2758e-05 eta: 12 days, 2:43:55 time: 2.4824 data_time: 0.1221 memory: 26632 grad_norm: 1.1155 loss: 1.6838 grounding_loss_reg: 6.1792 detection_loss_cls: 0.1325 detection_loss_reg: 0.6194 caption_loss_cls: 3.2267 instance_segmentation_loss_cls: 0.0852 instance_segmentation_loss_reg: 0.3090 instance_segmentation_loss_poly: 1.0523 semantic_segmentation_loss_cls: 0.0239 2023/10/01 14:59:32 - mmengine - INFO - Iter(train) [ 32500/480000] base_lr: 1.9777e-04 lr: 5.2755e-05 eta: 12 days, 3:03:44 time: 2.4863 data_time: 0.1221 memory: 25793 grad_norm: 1.1094 loss: 1.6745 grounding_loss_reg: 6.1752 detection_loss_cls: 0.1321 detection_loss_reg: 0.6185 caption_loss_cls: 3.2238 instance_segmentation_loss_cls: 0.0848 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 1.0487 semantic_segmentation_loss_cls: 0.0238 2023/10/01 14:59:32 - mmengine - INFO - Saving checkpoint at 32500 iterations 2023/10/01 15:04:15 - mmengine - INFO - Iter(train) [ 32600/480000] base_lr: 1.9776e-04 lr: 5.2751e-05 eta: 12 days, 3:54:58 time: 2.4868 data_time: 0.1228 memory: 26632 grad_norm: 1.1109 loss: 1.6732 grounding_loss_reg: 6.1686 detection_loss_cls: 0.1317 detection_loss_reg: 0.6186 caption_loss_cls: 3.2250 instance_segmentation_loss_cls: 0.0847 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 1.0470 semantic_segmentation_loss_cls: 0.0238 2023/10/01 15:37:04 - mmengine - INFO - Iter(train) [ 32700/480000] base_lr: 1.9774e-04 lr: 5.2748e-05 eta: 7 days, 14:03:00 time: 2.4220 data_time: 0.1073 memory: 26563 grad_norm: 1.1112 loss: 1.6763 grounding_loss_reg: 6.1548 detection_loss_cls: 0.1321 detection_loss_reg: 0.6205 caption_loss_cls: 3.2245 instance_segmentation_loss_cls: 0.0841 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 1.0473 semantic_segmentation_loss_cls: 0.0236 2023/10/01 15:39:44 - mmengine - INFO - Iter(train) [ 32800/480000] base_lr: 1.9773e-04 lr: 5.2744e-05 eta: 7 days, 19:18:48 time: 2.4055 data_time: 0.1074 memory: 26563 grad_norm: 1.1065 loss: 1.6654 grounding_loss_reg: 6.1496 detection_loss_cls: 0.1323 detection_loss_reg: 0.6217 caption_loss_cls: 3.2170 instance_segmentation_loss_cls: 0.0838 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 1.0439 semantic_segmentation_loss_cls: 0.0235 2023/10/01 15:42:27 - mmengine - INFO - Iter(train) [ 32900/480000] base_lr: 1.9771e-04 lr: 5.2741e-05 eta: 7 days, 23:04:36 time: 2.3885 data_time: 0.1073 memory: 26563 grad_norm: 1.1071 loss: 1.6711 grounding_loss_reg: 6.1475 detection_loss_cls: 0.1326 detection_loss_reg: 0.6235 caption_loss_cls: 3.2210 instance_segmentation_loss_cls: 0.0836 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 1.0433 semantic_segmentation_loss_cls: 0.0234 2023/10/01 15:45:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 15:45:15 - mmengine - INFO - Iter(train) [ 33000/480000] base_lr: 1.9770e-04 lr: 5.2737e-05 eta: 8 days, 2:30:33 time: 2.3697 data_time: 0.1074 memory: 26563 grad_norm: 1.1048 loss: 1.6712 grounding_loss_reg: 6.1407 detection_loss_cls: 0.1322 detection_loss_reg: 0.6219 caption_loss_cls: 3.2191 instance_segmentation_loss_cls: 0.0839 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 1.0444 semantic_segmentation_loss_cls: 0.0233 2023/10/01 15:45:15 - mmengine - INFO - Saving checkpoint at 33000 iterations 2023/10/01 15:48:52 - mmengine - INFO - Iter(train) [ 33100/480000] base_lr: 1.9769e-04 lr: 5.2733e-05 eta: 8 days, 15:01:38 time: 2.3512 data_time: 0.1072 memory: 26563 grad_norm: 1.1027 loss: 1.6735 grounding_loss_reg: 6.1379 detection_loss_cls: 0.1318 detection_loss_reg: 0.6204 caption_loss_cls: 3.2204 instance_segmentation_loss_cls: 0.0841 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 1.0457 semantic_segmentation_loss_cls: 0.0232 2023/10/01 15:51:52 - mmengine - INFO - Iter(train) [ 33200/480000] base_lr: 1.9767e-04 lr: 5.2730e-05 eta: 8 days, 17:20:47 time: 2.3403 data_time: 0.1072 memory: 26563 grad_norm: 1.0973 loss: 1.6682 grounding_loss_reg: 6.1334 detection_loss_cls: 0.1316 detection_loss_reg: 0.6193 caption_loss_cls: 3.2179 instance_segmentation_loss_cls: 0.0837 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 1.0435 semantic_segmentation_loss_cls: 0.0232 2023/10/01 15:55:06 - mmengine - INFO - Iter(train) [ 33300/480000] base_lr: 1.9766e-04 lr: 5.2726e-05 eta: 8 days, 21:14:00 time: 2.3240 data_time: 0.1071 memory: 26563 grad_norm: 1.0953 loss: 1.6661 grounding_loss_reg: 6.1291 detection_loss_cls: 0.1316 detection_loss_reg: 0.6201 caption_loss_cls: 3.2191 instance_segmentation_loss_cls: 0.0839 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 1.0463 semantic_segmentation_loss_cls: 0.0231 2023/10/01 15:58:17 - mmengine - INFO - Iter(train) [ 33400/480000] base_lr: 1.9764e-04 lr: 5.2723e-05 eta: 8 days, 23:46:10 time: 2.3155 data_time: 0.1071 memory: 26563 grad_norm: 1.0942 loss: 1.6613 grounding_loss_reg: 6.1225 detection_loss_cls: 0.1317 detection_loss_reg: 0.6199 caption_loss_cls: 3.2171 instance_segmentation_loss_cls: 0.0840 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 1.0457 semantic_segmentation_loss_cls: 0.0230 2023/10/01 16:01:08 - mmengine - INFO - Iter(train) [ 33500/480000] base_lr: 1.9763e-04 lr: 5.2719e-05 eta: 8 days, 23:25:48 time: 2.2980 data_time: 0.1071 memory: 26563 grad_norm: 1.0980 loss: 1.6623 grounding_loss_reg: 6.1123 detection_loss_cls: 0.1318 detection_loss_reg: 0.6218 caption_loss_cls: 3.2140 instance_segmentation_loss_cls: 0.0839 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 1.0451 semantic_segmentation_loss_cls: 0.0230 2023/10/01 16:01:08 - mmengine - INFO - Saving checkpoint at 33500 iterations 2023/10/01 16:05:21 - mmengine - INFO - Iter(train) [ 33600/480000] base_lr: 1.9762e-04 lr: 5.2715e-05 eta: 9 days, 8:18:14 time: 2.2927 data_time: 0.1073 memory: 26563 grad_norm: 1.0909 loss: 1.6554 grounding_loss_reg: 6.1078 detection_loss_cls: 0.1317 detection_loss_reg: 0.6213 caption_loss_cls: 3.2090 instance_segmentation_loss_cls: 0.0838 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 1.0424 semantic_segmentation_loss_cls: 0.0230 2023/10/01 16:08:23 - mmengine - INFO - Iter(train) [ 33700/480000] base_lr: 1.9760e-04 lr: 5.2712e-05 eta: 9 days, 8:21:01 time: 2.2731 data_time: 0.1072 memory: 25724 grad_norm: 1.0916 loss: 1.6553 grounding_loss_reg: 6.1026 detection_loss_cls: 0.1313 detection_loss_reg: 0.6204 caption_loss_cls: 3.2045 instance_segmentation_loss_cls: 0.0837 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 1.0427 semantic_segmentation_loss_cls: 0.0229 2023/10/01 16:11:57 - mmengine - INFO - Iter(train) [ 33800/480000] base_lr: 1.9759e-04 lr: 5.2708e-05 eta: 9 days, 11:24:43 time: 2.2626 data_time: 0.1073 memory: 26563 grad_norm: 1.0871 loss: 1.6469 grounding_loss_reg: 6.0951 detection_loss_cls: 0.1312 detection_loss_reg: 0.6201 caption_loss_cls: 3.2004 instance_segmentation_loss_cls: 0.0837 instance_segmentation_loss_reg: 0.3071 instance_segmentation_loss_poly: 1.0449 semantic_segmentation_loss_cls: 0.0228 2023/10/01 16:15:15 - mmengine - INFO - Iter(train) [ 33900/480000] base_lr: 1.9757e-04 lr: 5.2704e-05 eta: 9 days, 12:43:09 time: 2.2546 data_time: 0.1073 memory: 26563 grad_norm: 1.0861 loss: 1.6421 grounding_loss_reg: 6.0813 detection_loss_cls: 0.1313 detection_loss_reg: 0.6197 caption_loss_cls: 3.2006 instance_segmentation_loss_cls: 0.0834 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 1.0422 semantic_segmentation_loss_cls: 0.0228 2023/10/01 16:18:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 16:18:36 - mmengine - INFO - Iter(train) [ 34000/480000] base_lr: 1.9756e-04 lr: 5.2700e-05 eta: 9 days, 14:00:27 time: 2.2404 data_time: 0.1073 memory: 26563 grad_norm: 1.0851 loss: 1.6396 grounding_loss_reg: 6.0738 detection_loss_cls: 0.1311 detection_loss_reg: 0.6193 caption_loss_cls: 3.2028 instance_segmentation_loss_cls: 0.0831 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 1.0406 semantic_segmentation_loss_cls: 0.0227 2023/10/01 16:18:36 - mmengine - INFO - Saving checkpoint at 34000 iterations 2023/10/01 16:22:47 - mmengine - INFO - Iter(train) [ 34100/480000] base_lr: 1.9754e-04 lr: 5.2697e-05 eta: 9 days, 18:58:35 time: 2.2462 data_time: 0.1214 memory: 26563 grad_norm: 1.0813 loss: 1.6329 grounding_loss_reg: 6.0724 detection_loss_cls: 0.1310 detection_loss_reg: 0.6191 caption_loss_cls: 3.1965 instance_segmentation_loss_cls: 0.0833 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 1.0407 semantic_segmentation_loss_cls: 0.0227 2023/10/01 16:26:10 - mmengine - INFO - Iter(train) [ 34200/480000] base_lr: 1.9753e-04 lr: 5.2693e-05 eta: 9 days, 19:54:48 time: 2.2347 data_time: 0.1213 memory: 26563 grad_norm: 1.0827 loss: 1.6364 grounding_loss_reg: 6.0663 detection_loss_cls: 0.1304 detection_loss_reg: 0.6182 caption_loss_cls: 3.1924 instance_segmentation_loss_cls: 0.0831 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 1.0388 semantic_segmentation_loss_cls: 0.0225 2023/10/01 16:29:43 - mmengine - INFO - Iter(train) [ 34300/480000] base_lr: 1.9752e-04 lr: 5.2689e-05 eta: 9 days, 21:25:15 time: 2.2354 data_time: 0.1214 memory: 26563 grad_norm: 1.0775 loss: 1.6309 grounding_loss_reg: 6.0642 detection_loss_cls: 0.1305 detection_loss_reg: 0.6192 caption_loss_cls: 3.1876 instance_segmentation_loss_cls: 0.0830 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 1.0401 semantic_segmentation_loss_cls: 0.0225 2023/10/01 16:33:27 - mmengine - INFO - Iter(train) [ 34400/480000] base_lr: 1.9750e-04 lr: 5.2686e-05 eta: 9 days, 23:25:26 time: 2.2343 data_time: 0.1213 memory: 26563 grad_norm: 1.0761 loss: 1.6245 grounding_loss_reg: 6.0581 detection_loss_cls: 0.1302 detection_loss_reg: 0.6183 caption_loss_cls: 3.1859 instance_segmentation_loss_cls: 0.0826 instance_segmentation_loss_reg: 0.3043 instance_segmentation_loss_poly: 1.0364 semantic_segmentation_loss_cls: 0.0224 2023/10/01 16:36:48 - mmengine - INFO - Iter(train) [ 34500/480000] base_lr: 1.9749e-04 lr: 5.2682e-05 eta: 9 days, 23:51:02 time: 2.2268 data_time: 0.1213 memory: 26563 grad_norm: 1.0741 loss: 1.6250 grounding_loss_reg: 6.0559 detection_loss_cls: 0.1299 detection_loss_reg: 0.6171 caption_loss_cls: 3.1838 instance_segmentation_loss_cls: 0.0825 instance_segmentation_loss_reg: 0.3041 instance_segmentation_loss_poly: 1.0353 semantic_segmentation_loss_cls: 0.0221 2023/10/01 16:36:48 - mmengine - INFO - Saving checkpoint at 34500 iterations 2023/10/01 16:41:19 - mmengine - INFO - Iter(train) [ 34600/480000] base_lr: 1.9747e-04 lr: 5.2678e-05 eta: 10 days, 4:19:40 time: 2.2197 data_time: 0.1203 memory: 26563 grad_norm: 1.0736 loss: 1.6214 grounding_loss_reg: 6.0561 detection_loss_cls: 0.1301 detection_loss_reg: 0.6182 caption_loss_cls: 3.1796 instance_segmentation_loss_cls: 0.0824 instance_segmentation_loss_reg: 0.3040 instance_segmentation_loss_poly: 1.0346 semantic_segmentation_loss_cls: 0.0220 2023/10/01 16:45:07 - mmengine - INFO - Iter(train) [ 34700/480000] base_lr: 1.9746e-04 lr: 5.2674e-05 eta: 10 days, 6:02:12 time: 2.2157 data_time: 0.1202 memory: 26563 grad_norm: 1.0754 loss: 1.6185 grounding_loss_reg: 6.0477 detection_loss_cls: 0.1299 detection_loss_reg: 0.6172 caption_loss_cls: 3.1746 instance_segmentation_loss_cls: 0.0823 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 1.0325 semantic_segmentation_loss_cls: 0.0219 2023/10/01 16:48:47 - mmengine - INFO - Iter(train) [ 34800/480000] base_lr: 1.9744e-04 lr: 5.2670e-05 eta: 10 days, 7:04:22 time: 2.2036 data_time: 0.1201 memory: 25724 grad_norm: 1.0729 loss: 1.6142 grounding_loss_reg: 6.0387 detection_loss_cls: 0.1297 detection_loss_reg: 0.6172 caption_loss_cls: 3.1786 instance_segmentation_loss_cls: 0.0822 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 1.0316 semantic_segmentation_loss_cls: 0.0219 2023/10/01 16:52:22 - mmengine - INFO - Iter(train) [ 34900/480000] base_lr: 1.9743e-04 lr: 5.2667e-05 eta: 10 days, 7:49:36 time: 2.2075 data_time: 0.1202 memory: 25724 grad_norm: 1.0749 loss: 1.6152 grounding_loss_reg: 6.0347 detection_loss_cls: 0.1297 detection_loss_reg: 0.6166 caption_loss_cls: 3.1812 instance_segmentation_loss_cls: 0.0821 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 1.0302 semantic_segmentation_loss_cls: 0.0219 2023/10/01 16:56:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 16:56:14 - mmengine - INFO - Iter(train) [ 35000/480000] base_lr: 1.9741e-04 lr: 5.2663e-05 eta: 10 days, 9:19:26 time: 2.2147 data_time: 0.1202 memory: 25724 grad_norm: 1.0687 loss: 1.6111 grounding_loss_reg: 6.0347 detection_loss_cls: 0.1299 detection_loss_reg: 0.6166 caption_loss_cls: 3.1806 instance_segmentation_loss_cls: 0.0821 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 1.0307 semantic_segmentation_loss_cls: 0.0218 2023/10/01 16:56:14 - mmengine - INFO - Saving checkpoint at 35000 iterations 2023/10/01 17:00:41 - mmengine - INFO - Iter(train) [ 35100/480000] base_lr: 1.9740e-04 lr: 5.2659e-05 eta: 10 days, 12:22:00 time: 2.2027 data_time: 0.1196 memory: 26563 grad_norm: 1.0710 loss: 1.6130 grounding_loss_reg: 6.0310 detection_loss_cls: 0.1304 detection_loss_reg: 0.6184 caption_loss_cls: 3.1756 instance_segmentation_loss_cls: 0.0820 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 1.0289 semantic_segmentation_loss_cls: 0.0217 2023/10/01 17:04:49 - mmengine - INFO - Iter(train) [ 35200/480000] base_lr: 1.9738e-04 lr: 5.2655e-05 eta: 10 days, 14:18:55 time: 2.2033 data_time: 0.1195 memory: 26563 grad_norm: 1.0682 loss: 1.6090 grounding_loss_reg: 6.0258 detection_loss_cls: 0.1305 detection_loss_reg: 0.6194 caption_loss_cls: 3.1733 instance_segmentation_loss_cls: 0.0817 instance_segmentation_loss_reg: 0.3014 instance_segmentation_loss_poly: 1.0274 semantic_segmentation_loss_cls: 0.0217 2023/10/01 17:08:17 - mmengine - INFO - Iter(train) [ 35300/480000] base_lr: 1.9737e-04 lr: 5.2651e-05 eta: 10 days, 14:22:06 time: 2.1923 data_time: 0.1194 memory: 26563 grad_norm: 1.1048 loss: 1.6171 grounding_loss_reg: 6.0192 detection_loss_cls: 0.1300 detection_loss_reg: 0.6176 caption_loss_cls: 3.1730 instance_segmentation_loss_cls: 0.0817 instance_segmentation_loss_reg: 0.3017 instance_segmentation_loss_poly: 1.0269 semantic_segmentation_loss_cls: 0.0216 2023/10/01 17:11:56 - mmengine - INFO - Iter(train) [ 35400/480000] base_lr: 1.9735e-04 lr: 5.2648e-05 eta: 10 days, 14:51:27 time: 2.1902 data_time: 0.1194 memory: 26563 grad_norm: 1.1022 loss: 1.6119 grounding_loss_reg: 6.0154 detection_loss_cls: 0.1290 detection_loss_reg: 0.6141 caption_loss_cls: 3.1772 instance_segmentation_loss_cls: 0.0816 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 1.0256 semantic_segmentation_loss_cls: 0.0216 2023/10/01 17:15:45 - mmengine - INFO - Iter(train) [ 35500/480000] base_lr: 1.9734e-04 lr: 5.2644e-05 eta: 10 days, 15:43:03 time: 2.1817 data_time: 0.1193 memory: 26563 grad_norm: 1.1025 loss: 1.6082 grounding_loss_reg: 6.0117 detection_loss_cls: 0.1287 detection_loss_reg: 0.6132 caption_loss_cls: 3.1723 instance_segmentation_loss_cls: 0.0816 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 1.0251 semantic_segmentation_loss_cls: 0.0215 2023/10/01 17:15:45 - mmengine - INFO - Saving checkpoint at 35500 iterations 2023/10/01 17:20:32 - mmengine - INFO - Iter(train) [ 35600/480000] base_lr: 1.9732e-04 lr: 5.2640e-05 eta: 10 days, 18:50:46 time: 2.1769 data_time: 0.1188 memory: 26563 grad_norm: 1.1097 loss: 1.6154 grounding_loss_reg: 6.0058 detection_loss_cls: 0.1284 detection_loss_reg: 0.6129 caption_loss_cls: 3.1692 instance_segmentation_loss_cls: 0.0815 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 1.0233 semantic_segmentation_loss_cls: 0.0215 2023/10/01 17:24:11 - mmengine - INFO - Iter(train) [ 35700/480000] base_lr: 1.9731e-04 lr: 5.2636e-05 eta: 10 days, 19:08:36 time: 2.1752 data_time: 0.1187 memory: 26563 grad_norm: 1.1088 loss: 1.6140 grounding_loss_reg: 5.9999 detection_loss_cls: 0.1288 detection_loss_reg: 0.6137 caption_loss_cls: 3.1717 instance_segmentation_loss_cls: 0.0813 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 1.0215 semantic_segmentation_loss_cls: 0.0216 2023/10/01 17:28:20 - mmengine - INFO - Iter(train) [ 35800/480000] base_lr: 1.9729e-04 lr: 5.2632e-05 eta: 10 days, 20:34:07 time: 2.1775 data_time: 0.1188 memory: 26563 grad_norm: 1.1105 loss: 1.6188 grounding_loss_reg: 5.9991 detection_loss_cls: 0.1285 detection_loss_reg: 0.6123 caption_loss_cls: 3.1667 instance_segmentation_loss_cls: 0.0811 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 1.0201 semantic_segmentation_loss_cls: 0.0216 2023/10/01 17:31:56 - mmengine - INFO - Iter(train) [ 35900/480000] base_lr: 1.9728e-04 lr: 5.2628e-05 eta: 10 days, 20:39:26 time: 2.1687 data_time: 0.1187 memory: 26563 grad_norm: 1.1140 loss: 1.6215 grounding_loss_reg: 5.9942 detection_loss_cls: 0.1284 detection_loss_reg: 0.6118 caption_loss_cls: 3.1591 instance_segmentation_loss_cls: 0.0810 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 1.0204 semantic_segmentation_loss_cls: 0.0215 2023/10/01 17:35:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 17:35:44 - mmengine - INFO - Iter(train) [ 36000/480000] base_lr: 1.9726e-04 lr: 5.2624e-05 eta: 10 days, 21:12:23 time: 2.1695 data_time: 0.1187 memory: 26563 grad_norm: 1.1114 loss: 1.6248 grounding_loss_reg: 5.9887 detection_loss_cls: 0.1289 detection_loss_reg: 0.6145 caption_loss_cls: 3.1608 instance_segmentation_loss_cls: 0.0813 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 1.0215 semantic_segmentation_loss_cls: 0.0214 2023/10/01 17:35:44 - mmengine - INFO - Saving checkpoint at 36000 iterations 2023/10/01 17:40:12 - mmengine - INFO - Iter(train) [ 36100/480000] base_lr: 1.9725e-04 lr: 5.2620e-05 eta: 10 days, 23:03:16 time: 2.1639 data_time: 0.1174 memory: 26563 grad_norm: 1.1178 loss: 1.6268 grounding_loss_reg: 5.9805 detection_loss_cls: 0.1290 detection_loss_reg: 0.6158 caption_loss_cls: 3.1592 instance_segmentation_loss_cls: 0.0811 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 1.0198 semantic_segmentation_loss_cls: 0.0214 2023/10/01 17:44:18 - mmengine - INFO - Iter(train) [ 36200/480000] base_lr: 1.9723e-04 lr: 5.2616e-05 eta: 11 days, 0:05:01 time: 2.1630 data_time: 0.1174 memory: 26563 grad_norm: 1.1184 loss: 1.6241 grounding_loss_reg: 5.9800 detection_loss_cls: 0.1288 detection_loss_reg: 0.6146 caption_loss_cls: 3.1550 instance_segmentation_loss_cls: 0.0806 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 1.0143 semantic_segmentation_loss_cls: 0.0214 2023/10/01 17:48:24 - mmengine - INFO - Iter(train) [ 36300/480000] base_lr: 1.9722e-04 lr: 5.2612e-05 eta: 11 days, 1:04:25 time: 2.1619 data_time: 0.1173 memory: 26563 grad_norm: 1.1178 loss: 1.6153 grounding_loss_reg: 5.9794 detection_loss_cls: 0.1287 detection_loss_reg: 0.6142 caption_loss_cls: 3.1515 instance_segmentation_loss_cls: 0.0804 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 1.0107 semantic_segmentation_loss_cls: 0.0213 2023/10/01 17:52:00 - mmengine - INFO - Iter(train) [ 36400/480000] base_lr: 1.9720e-04 lr: 5.2608e-05 eta: 11 days, 1:02:26 time: 2.1608 data_time: 0.1173 memory: 26563 grad_norm: 1.1171 loss: 1.6185 grounding_loss_reg: 5.9749 detection_loss_cls: 0.1287 detection_loss_reg: 0.6146 caption_loss_cls: 3.1512 instance_segmentation_loss_cls: 0.0793 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 1.0076 semantic_segmentation_loss_cls: 0.0213 2023/10/01 17:56:01 - mmengine - INFO - Iter(train) [ 36500/480000] base_lr: 1.9719e-04 lr: 5.2604e-05 eta: 11 days, 1:47:08 time: 2.1574 data_time: 0.1173 memory: 26563 grad_norm: 1.1239 loss: 1.6329 grounding_loss_reg: 5.9723 detection_loss_cls: 0.1285 detection_loss_reg: 0.6132 caption_loss_cls: 3.1526 instance_segmentation_loss_cls: 0.0794 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 1.0096 semantic_segmentation_loss_cls: 0.0212 2023/10/01 17:56:01 - mmengine - INFO - Saving checkpoint at 36500 iterations 2023/10/01 18:00:45 - mmengine - INFO - Iter(train) [ 36600/480000] base_lr: 1.9717e-04 lr: 5.2600e-05 eta: 11 days, 3:46:12 time: 2.1917 data_time: 0.1323 memory: 26563 grad_norm: 1.1218 loss: 1.6296 grounding_loss_reg: 5.9674 detection_loss_cls: 0.1286 detection_loss_reg: 0.6134 caption_loss_cls: 3.1492 instance_segmentation_loss_cls: 0.0792 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 1.0070 semantic_segmentation_loss_cls: 0.0212 2023/10/01 18:04:58 - mmengine - INFO - Iter(train) [ 36700/480000] base_lr: 1.9716e-04 lr: 5.2596e-05 eta: 11 days, 4:45:40 time: 2.2185 data_time: 0.1323 memory: 26563 grad_norm: 1.1200 loss: 1.6340 grounding_loss_reg: 5.9641 detection_loss_cls: 0.1283 detection_loss_reg: 0.6118 caption_loss_cls: 3.1490 instance_segmentation_loss_cls: 0.0794 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 1.0064 semantic_segmentation_loss_cls: 0.0212 2023/10/01 18:08:33 - mmengine - INFO - Iter(train) [ 36800/480000] base_lr: 1.9714e-04 lr: 5.2592e-05 eta: 11 days, 4:35:57 time: 2.2323 data_time: 0.1323 memory: 25724 grad_norm: 1.1198 loss: 1.6433 grounding_loss_reg: 5.9602 detection_loss_cls: 0.1285 detection_loss_reg: 0.6127 caption_loss_cls: 3.1501 instance_segmentation_loss_cls: 0.0792 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 1.0052 semantic_segmentation_loss_cls: 0.0211 2023/10/01 18:12:24 - mmengine - INFO - Iter(train) [ 36900/480000] base_lr: 1.9713e-04 lr: 5.2588e-05 eta: 11 days, 4:53:50 time: 2.2493 data_time: 0.1323 memory: 26563 grad_norm: 1.1201 loss: 1.6349 grounding_loss_reg: 5.9560 detection_loss_cls: 0.1283 detection_loss_reg: 0.6124 caption_loss_cls: 3.1470 instance_segmentation_loss_cls: 0.0790 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 1.0050 semantic_segmentation_loss_cls: 0.0211 2023/10/01 18:16:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 18:16:22 - mmengine - INFO - Iter(train) [ 37000/480000] base_lr: 1.9711e-04 lr: 5.2584e-05 eta: 11 days, 5:21:21 time: 2.2667 data_time: 0.1322 memory: 26563 grad_norm: 1.1219 loss: 1.6374 grounding_loss_reg: 5.9516 detection_loss_cls: 0.1284 detection_loss_reg: 0.6121 caption_loss_cls: 3.1474 instance_segmentation_loss_cls: 0.0790 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 1.0039 semantic_segmentation_loss_cls: 0.0210 2023/10/01 18:16:22 - mmengine - INFO - Saving checkpoint at 37000 iterations 2023/10/01 18:21:19 - mmengine - INFO - Iter(train) [ 37100/480000] base_lr: 1.9710e-04 lr: 5.2580e-05 eta: 11 days, 7:23:23 time: 2.2867 data_time: 0.1324 memory: 26563 grad_norm: 1.1196 loss: 1.6367 grounding_loss_reg: 5.9470 detection_loss_cls: 0.1290 detection_loss_reg: 0.6141 caption_loss_cls: 3.1491 instance_segmentation_loss_cls: 0.0788 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 1.0025 semantic_segmentation_loss_cls: 0.0210 2023/10/01 18:25:23 - mmengine - INFO - Iter(train) [ 37200/480000] base_lr: 1.9708e-04 lr: 5.2576e-05 eta: 11 days, 7:56:30 time: 2.3026 data_time: 0.1325 memory: 26563 grad_norm: 1.1183 loss: 1.6389 grounding_loss_reg: 5.9463 detection_loss_cls: 0.1291 detection_loss_reg: 0.6163 caption_loss_cls: 3.1454 instance_segmentation_loss_cls: 0.0788 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 1.0035 semantic_segmentation_loss_cls: 0.0210 2023/10/01 18:29:49 - mmengine - INFO - Iter(train) [ 37300/480000] base_lr: 1.9706e-04 lr: 5.2572e-05 eta: 11 days, 9:01:53 time: 2.3206 data_time: 0.1326 memory: 26563 grad_norm: 1.1208 loss: 1.6419 grounding_loss_reg: 5.9414 detection_loss_cls: 0.1286 detection_loss_reg: 0.6144 caption_loss_cls: 3.1480 instance_segmentation_loss_cls: 0.0789 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 1.0036 semantic_segmentation_loss_cls: 0.0210 2023/10/01 18:33:23 - mmengine - INFO - Iter(train) [ 37400/480000] base_lr: 1.9705e-04 lr: 5.2568e-05 eta: 11 days, 8:45:56 time: 2.3265 data_time: 0.1325 memory: 25724 grad_norm: 1.1231 loss: 1.6452 grounding_loss_reg: 5.9372 detection_loss_cls: 0.1287 detection_loss_reg: 0.6156 caption_loss_cls: 3.1471 instance_segmentation_loss_cls: 0.0787 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 1.0031 semantic_segmentation_loss_cls: 0.0210 2023/10/01 18:36:48 - mmengine - INFO - Iter(train) [ 37500/480000] base_lr: 1.9703e-04 lr: 5.2564e-05 eta: 11 days, 8:17:58 time: 2.3349 data_time: 0.1325 memory: 26563 grad_norm: 1.1212 loss: 1.6454 grounding_loss_reg: 5.9330 detection_loss_cls: 0.1285 detection_loss_reg: 0.6143 caption_loss_cls: 3.1473 instance_segmentation_loss_cls: 0.0786 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 1.0028 semantic_segmentation_loss_cls: 0.0210 2023/10/01 18:36:48 - mmengine - INFO - Saving checkpoint at 37500 iterations 2023/10/01 18:42:04 - mmengine - INFO - Iter(train) [ 37600/480000] base_lr: 1.9702e-04 lr: 5.2560e-05 eta: 11 days, 10:30:55 time: 2.3507 data_time: 0.1328 memory: 26563 grad_norm: 1.1213 loss: 1.6456 grounding_loss_reg: 5.9298 detection_loss_cls: 0.1286 detection_loss_reg: 0.6146 caption_loss_cls: 3.1427 instance_segmentation_loss_cls: 0.0780 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.9996 semantic_segmentation_loss_cls: 0.0209 2023/10/01 18:46:28 - mmengine - INFO - Iter(train) [ 37700/480000] base_lr: 1.9700e-04 lr: 5.2556e-05 eta: 11 days, 11:24:04 time: 2.3711 data_time: 0.1329 memory: 26563 grad_norm: 1.1218 loss: 1.6511 grounding_loss_reg: 5.9243 detection_loss_cls: 0.1287 detection_loss_reg: 0.6151 caption_loss_cls: 3.1423 instance_segmentation_loss_cls: 0.0777 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.9948 semantic_segmentation_loss_cls: 0.0209 2023/10/01 18:50:57 - mmengine - INFO - Iter(train) [ 37800/480000] base_lr: 1.9699e-04 lr: 5.2552e-05 eta: 11 days, 12:22:18 time: 2.3849 data_time: 0.1329 memory: 26563 grad_norm: 1.1222 loss: 1.6519 grounding_loss_reg: 5.9205 detection_loss_cls: 0.1287 detection_loss_reg: 0.6153 caption_loss_cls: 3.1455 instance_segmentation_loss_cls: 0.0776 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.9930 semantic_segmentation_loss_cls: 0.0209 2023/10/01 18:55:01 - mmengine - INFO - Iter(train) [ 37900/480000] base_lr: 1.9697e-04 lr: 5.2548e-05 eta: 11 days, 12:45:12 time: 2.3963 data_time: 0.1329 memory: 26563 grad_norm: 1.1207 loss: 1.6507 grounding_loss_reg: 5.9172 detection_loss_cls: 0.1285 detection_loss_reg: 0.6145 caption_loss_cls: 3.1434 instance_segmentation_loss_cls: 0.0775 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.9918 semantic_segmentation_loss_cls: 0.0208 2023/10/01 18:59:41 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 18:59:41 - mmengine - INFO - Iter(train) [ 38000/480000] base_lr: 1.9695e-04 lr: 5.2544e-05 eta: 11 days, 13:55:01 time: 2.4162 data_time: 0.1329 memory: 26563 grad_norm: 1.1155 loss: 1.6446 grounding_loss_reg: 5.9139 detection_loss_cls: 0.1282 detection_loss_reg: 0.6142 caption_loss_cls: 3.1447 instance_segmentation_loss_cls: 0.0770 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.9910 semantic_segmentation_loss_cls: 0.0207 2023/10/01 18:59:41 - mmengine - INFO - Saving checkpoint at 38000 iterations 2023/10/01 19:05:05 - mmengine - INFO - Iter(train) [ 38100/480000] base_lr: 1.9694e-04 lr: 5.2539e-05 eta: 11 days, 15:58:40 time: 2.4344 data_time: 0.1330 memory: 26563 grad_norm: 1.1124 loss: 1.6318 grounding_loss_reg: 5.9088 detection_loss_cls: 0.1278 detection_loss_reg: 0.6128 caption_loss_cls: 3.1426 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.9901 semantic_segmentation_loss_cls: 0.0207 2023/10/01 19:09:01 - mmengine - INFO - Iter(train) [ 38200/480000] base_lr: 1.9692e-04 lr: 5.2535e-05 eta: 11 days, 16:05:02 time: 2.4426 data_time: 0.1331 memory: 26563 grad_norm: 1.1114 loss: 1.6338 grounding_loss_reg: 5.9031 detection_loss_cls: 0.1273 detection_loss_reg: 0.6108 caption_loss_cls: 3.1500 instance_segmentation_loss_cls: 0.0767 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.9900 semantic_segmentation_loss_cls: 0.0207 2023/10/01 19:13:10 - mmengine - INFO - Iter(train) [ 38300/480000] base_lr: 1.9691e-04 lr: 5.2531e-05 eta: 11 days, 16:28:21 time: 2.4517 data_time: 0.1330 memory: 25724 grad_norm: 1.1113 loss: 1.6390 grounding_loss_reg: 5.9013 detection_loss_cls: 0.1270 detection_loss_reg: 0.6090 caption_loss_cls: 3.1540 instance_segmentation_loss_cls: 0.0767 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.9907 semantic_segmentation_loss_cls: 0.0207 2023/10/01 19:17:24 - mmengine - INFO - Iter(train) [ 38400/480000] base_lr: 1.9689e-04 lr: 5.2527e-05 eta: 11 days, 16:56:15 time: 2.4593 data_time: 0.1330 memory: 25724 grad_norm: 1.1089 loss: 1.6420 grounding_loss_reg: 5.9003 detection_loss_cls: 0.1267 detection_loss_reg: 0.6063 caption_loss_cls: 3.1577 instance_segmentation_loss_cls: 0.0766 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.9901 semantic_segmentation_loss_cls: 0.0207 2023/10/01 19:21:12 - mmengine - INFO - Iter(train) [ 38500/480000] base_lr: 1.9687e-04 lr: 5.2523e-05 eta: 11 days, 16:51:20 time: 2.4661 data_time: 0.1331 memory: 26563 grad_norm: 1.1091 loss: 1.6440 grounding_loss_reg: 5.8949 detection_loss_cls: 0.1266 detection_loss_reg: 0.6068 caption_loss_cls: 3.1578 instance_segmentation_loss_cls: 0.0770 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.9908 semantic_segmentation_loss_cls: 0.0206 2023/10/01 19:21:12 - mmengine - INFO - Saving checkpoint at 38500 iterations 2023/10/01 19:26:09 - mmengine - INFO - Iter(train) [ 38600/480000] base_lr: 1.9686e-04 lr: 5.2519e-05 eta: 11 days, 18:09:36 time: 2.4726 data_time: 0.1332 memory: 26563 grad_norm: 1.1075 loss: 1.6386 grounding_loss_reg: 5.8914 detection_loss_cls: 0.1263 detection_loss_reg: 0.6055 caption_loss_cls: 3.1592 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.9903 semantic_segmentation_loss_cls: 0.0206 2023/10/01 19:30:34 - mmengine - INFO - Iter(train) [ 38700/480000] base_lr: 1.9684e-04 lr: 5.2514e-05 eta: 11 days, 18:46:18 time: 2.4815 data_time: 0.1331 memory: 26563 grad_norm: 1.1036 loss: 1.6328 grounding_loss_reg: 5.8890 detection_loss_cls: 0.1255 detection_loss_reg: 0.6029 caption_loss_cls: 3.1554 instance_segmentation_loss_cls: 0.0765 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.9891 semantic_segmentation_loss_cls: 0.0205 2023/10/01 19:35:01 - mmengine - INFO - Iter(train) [ 38800/480000] base_lr: 1.9683e-04 lr: 5.2510e-05 eta: 11 days, 19:24:55 time: 2.4935 data_time: 0.1332 memory: 26563 grad_norm: 1.1041 loss: 1.6357 grounding_loss_reg: 5.8871 detection_loss_cls: 0.1256 detection_loss_reg: 0.6041 caption_loss_cls: 3.1510 instance_segmentation_loss_cls: 0.0762 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.9859 semantic_segmentation_loss_cls: 0.0205 2023/10/01 19:38:42 - mmengine - INFO - Iter(train) [ 38900/480000] base_lr: 1.9681e-04 lr: 5.2506e-05 eta: 11 days, 19:09:08 time: 2.4948 data_time: 0.1332 memory: 26563 grad_norm: 1.1031 loss: 1.6279 grounding_loss_reg: 5.8828 detection_loss_cls: 0.1255 detection_loss_reg: 0.6036 caption_loss_cls: 3.1489 instance_segmentation_loss_cls: 0.0762 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.9860 semantic_segmentation_loss_cls: 0.0205 2023/10/01 19:43:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_150617 2023/10/01 19:43:04 - mmengine - INFO - Iter(train) [ 39000/480000] base_lr: 1.9679e-04 lr: 5.2502e-05 eta: 11 days, 19:40:29 time: 2.5024 data_time: 0.1332 memory: 25724 grad_norm: 1.1000 loss: 1.6267 grounding_loss_reg: 5.8791 detection_loss_cls: 0.1247 detection_loss_reg: 0.6004 caption_loss_cls: 3.1499 instance_segmentation_loss_cls: 0.0763 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.9880 semantic_segmentation_loss_cls: 0.0204 2023/10/01 19:43:04 - mmengine - INFO - Saving checkpoint at 39000 iterations 2023/10/01 19:47:49 - mmengine - INFO - Iter(train) [ 39100/480000] base_lr: 1.9678e-04 lr: 5.2498e-05 eta: 11 days, 20:36:16 time: 2.5070 data_time: 0.1327 memory: 26563 grad_norm: 1.1032 loss: 1.6300 grounding_loss_reg: 5.8714 detection_loss_cls: 0.1247 detection_loss_reg: 0.6006 caption_loss_cls: 3.1508 instance_segmentation_loss_cls: 0.0764 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.9885 semantic_segmentation_loss_cls: 0.0201 2023/10/01 19:51:47 - mmengine - INFO - Iter(train) [ 39200/480000] base_lr: 1.9676e-04 lr: 5.2493e-05 eta: 11 days, 20:38:25 time: 2.5044 data_time: 0.1326 memory: 25724 grad_norm: 1.1003 loss: 1.6247 grounding_loss_reg: 5.8682 detection_loss_cls: 0.1250 detection_loss_reg: 0.6016 caption_loss_cls: 3.1448 instance_segmentation_loss_cls: 0.0763 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.9876 semantic_segmentation_loss_cls: 0.0200 2023/10/01 19:55:28 - mmengine - INFO - Iter(train) [ 39300/480000] base_lr: 1.9674e-04 lr: 5.2489e-05 eta: 11 days, 20:21:45 time: 2.5075 data_time: 0.1326 memory: 25724 grad_norm: 1.0648 loss: 1.6156 grounding_loss_reg: 5.8645 detection_loss_cls: 0.1249 detection_loss_reg: 0.6008 caption_loss_cls: 3.1414 instance_segmentation_loss_cls: 0.0763 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.9892 semantic_segmentation_loss_cls: 0.0199 2023/10/01 19:59:04 - mmengine - INFO - Iter(train) [ 39400/480000] base_lr: 1.9673e-04 lr: 5.2485e-05 eta: 11 days, 20:00:55 time: 2.5069 data_time: 0.1326 memory: 26563 grad_norm: 1.0692 loss: 1.6184 grounding_loss_reg: 5.8601 detection_loss_cls: 0.1245 detection_loss_reg: 0.5996 caption_loss_cls: 3.1331 instance_segmentation_loss_cls: 0.0762 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.9892 semantic_segmentation_loss_cls: 0.0200 2023/10/01 20:02:33 - mmengine - INFO - Iter(train) [ 39500/480000] base_lr: 1.9671e-04 lr: 5.2480e-05 eta: 11 days, 19:32:38 time: 2.5019 data_time: 0.1326 memory: 26563 grad_norm: 1.0739 loss: 1.6194 grounding_loss_reg: 5.8541 detection_loss_cls: 0.1242 detection_loss_reg: 0.5975 caption_loss_cls: 3.1293 instance_segmentation_loss_cls: 0.0757 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.9874 semantic_segmentation_loss_cls: 0.0200 2023/10/01 20:02:33 - mmengine - INFO - Saving checkpoint at 39500 iterations 2023/10/01 20:35:34 - mmengine - INFO - Iter(train) [ 39600/480000] base_lr: 1.9669e-04 lr: 5.2476e-05 eta: 7 days, 9:56:19 time: 2.4665 data_time: 0.1171 memory: 26558 grad_norm: 1.0759 loss: 1.6194 grounding_loss_reg: 5.8473 detection_loss_cls: 0.1239 detection_loss_reg: 0.5964 caption_loss_cls: 3.1234 instance_segmentation_loss_cls: 0.0757 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.9864 semantic_segmentation_loss_cls: 0.0199 2023/10/01 20:38:05 - mmengine - INFO - Iter(train) [ 39700/480000] base_lr: 1.9668e-04 lr: 5.2472e-05 eta: 7 days, 13:27:12 time: 2.4496 data_time: 0.1171 memory: 26558 grad_norm: 1.0744 loss: 1.6099 grounding_loss_reg: 5.8389 detection_loss_cls: 0.1236 detection_loss_reg: 0.5947 caption_loss_cls: 3.1221 instance_segmentation_loss_cls: 0.0751 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.9848 semantic_segmentation_loss_cls: 0.0199 2023/10/01 20:40:38 - mmengine - INFO - Iter(train) [ 39800/480000] base_lr: 1.9666e-04 lr: 5.2467e-05 eta: 7 days, 15:07:06 time: 2.4253 data_time: 0.1172 memory: 26558 grad_norm: 1.0757 loss: 1.6157 grounding_loss_reg: 5.8356 detection_loss_cls: 0.1233 detection_loss_reg: 0.5933 caption_loss_cls: 3.1216 instance_segmentation_loss_cls: 0.0755 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.9877 semantic_segmentation_loss_cls: 0.0199 2023/10/01 20:43:15 - mmengine - INFO - Iter(train) [ 39900/480000] base_lr: 1.9664e-04 lr: 5.2463e-05 eta: 7 days, 17:16:28 time: 2.4108 data_time: 0.1172 memory: 26558 grad_norm: 1.0741 loss: 1.6162 grounding_loss_reg: 5.8307 detection_loss_cls: 0.1232 detection_loss_reg: 0.5935 caption_loss_cls: 3.1211 instance_segmentation_loss_cls: 0.0751 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.9856 semantic_segmentation_loss_cls: 0.0198 2023/10/01 20:46:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/01 20:46:00 - mmengine - INFO - Iter(train) [ 40000/480000] base_lr: 1.9663e-04 lr: 5.2459e-05 eta: 7 days, 20:39:18 time: 2.3950 data_time: 0.1172 memory: 26558 grad_norm: 1.0756 loss: 1.6121 grounding_loss_reg: 5.8237 detection_loss_cls: 0.1231 detection_loss_reg: 0.5931 caption_loss_cls: 3.1232 instance_segmentation_loss_cls: 0.0750 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.9862 semantic_segmentation_loss_cls: 0.0198 2023/10/01 20:46:00 - mmengine - INFO - Saving checkpoint at 40000 iterations 2023/10/01 20:49:43 - mmengine - INFO - Iter(train) [ 40100/480000] base_lr: 1.9661e-04 lr: 5.2454e-05 eta: 8 days, 10:28:37 time: 2.3838 data_time: 0.1174 memory: 26558 grad_norm: 1.0715 loss: 1.6115 grounding_loss_reg: 5.8225 detection_loss_cls: 0.1232 detection_loss_reg: 0.5928 caption_loss_cls: 3.1205 instance_segmentation_loss_cls: 0.0750 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.9867 semantic_segmentation_loss_cls: 0.0198 2023/10/01 20:52:36 - mmengine - INFO - Iter(train) [ 40200/480000] base_lr: 1.9659e-04 lr: 5.2450e-05 eta: 8 days, 11:41:03 time: 2.3655 data_time: 0.1174 memory: 26558 grad_norm: 1.0707 loss: 1.6148 grounding_loss_reg: 5.8188 detection_loss_cls: 0.1227 detection_loss_reg: 0.5914 caption_loss_cls: 3.1218 instance_segmentation_loss_cls: 0.0751 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.9873 semantic_segmentation_loss_cls: 0.0199 2023/10/01 20:55:38 - mmengine - INFO - Iter(train) [ 40300/480000] base_lr: 1.9658e-04 lr: 5.2446e-05 eta: 8 days, 13:57:42 time: 2.3493 data_time: 0.1174 memory: 26558 grad_norm: 1.0696 loss: 1.6166 grounding_loss_reg: 5.8173 detection_loss_cls: 0.1225 detection_loss_reg: 0.5901 caption_loss_cls: 3.1224 instance_segmentation_loss_cls: 0.0750 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.9840 semantic_segmentation_loss_cls: 0.0198 2023/10/01 20:58:42 - mmengine - INFO - Iter(train) [ 40400/480000] base_lr: 1.9656e-04 lr: 5.2441e-05 eta: 8 days, 16:00:07 time: 2.3413 data_time: 0.1174 memory: 26558 grad_norm: 1.0663 loss: 1.6132 grounding_loss_reg: 5.8103 detection_loss_cls: 0.1227 detection_loss_reg: 0.5910 caption_loss_cls: 3.1231 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.9768 semantic_segmentation_loss_cls: 0.0198 2023/10/01 21:01:49 - mmengine - INFO - Iter(train) [ 40500/480000] base_lr: 1.9654e-04 lr: 5.2437e-05 eta: 8 days, 18:01:58 time: 2.3279 data_time: 0.1174 memory: 26558 grad_norm: 1.0679 loss: 1.6144 grounding_loss_reg: 5.8057 detection_loss_cls: 0.1227 detection_loss_reg: 0.5909 caption_loss_cls: 3.1211 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.9758 semantic_segmentation_loss_cls: 0.0198 2023/10/01 21:01:49 - mmengine - INFO - Saving checkpoint at 40500 iterations 2023/10/01 21:06:23 - mmengine - INFO - Iter(train) [ 40600/480000] base_lr: 1.9653e-04 lr: 5.2433e-05 eta: 9 days, 5:19:33 time: 2.3255 data_time: 0.1172 memory: 26558 grad_norm: 1.0650 loss: 1.6069 grounding_loss_reg: 5.7981 detection_loss_cls: 0.1224 detection_loss_reg: 0.5904 caption_loss_cls: 3.1180 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.9764 semantic_segmentation_loss_cls: 0.0198 2023/10/01 21:09:46 - mmengine - INFO - Iter(train) [ 40700/480000] base_lr: 1.9651e-04 lr: 5.2428e-05 eta: 9 days, 7:25:28 time: 2.3128 data_time: 0.1171 memory: 25719 grad_norm: 1.0666 loss: 1.5998 grounding_loss_reg: 5.7933 detection_loss_cls: 0.1224 detection_loss_reg: 0.5910 caption_loss_cls: 3.1164 instance_segmentation_loss_cls: 0.0740 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.9758 semantic_segmentation_loss_cls: 0.0197 2023/10/01 21:13:27 - mmengine - INFO - Iter(train) [ 40800/480000] base_lr: 1.9649e-04 lr: 5.2424e-05 eta: 9 days, 10:56:36 time: 2.3144 data_time: 0.1171 memory: 26558 grad_norm: 1.0627 loss: 1.5884 grounding_loss_reg: 5.7896 detection_loss_cls: 0.1221 detection_loss_reg: 0.5898 caption_loss_cls: 3.1191 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.9769 semantic_segmentation_loss_cls: 0.0197 2023/10/01 21:17:01 - mmengine - INFO - Iter(train) [ 40900/480000] base_lr: 1.9647e-04 lr: 5.2419e-05 eta: 9 days, 13:21:04 time: 2.3102 data_time: 0.1171 memory: 26558 grad_norm: 1.0645 loss: 1.5985 grounding_loss_reg: 5.7862 detection_loss_cls: 0.1220 detection_loss_reg: 0.5897 caption_loss_cls: 3.1239 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.9772 semantic_segmentation_loss_cls: 0.0197 2023/10/01 21:20:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/01 21:20:43 - mmengine - INFO - Iter(train) [ 41000/480000] base_lr: 1.9646e-04 lr: 5.2415e-05 eta: 9 days, 16:03:08 time: 2.3063 data_time: 0.1171 memory: 26558 grad_norm: 1.0631 loss: 1.5918 grounding_loss_reg: 5.7791 detection_loss_cls: 0.1227 detection_loss_reg: 0.5927 caption_loss_cls: 3.1243 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.9747 semantic_segmentation_loss_cls: 0.0197 2023/10/01 21:20:43 - mmengine - INFO - Saving checkpoint at 41000 iterations 2023/10/01 21:25:09 - mmengine - INFO - Iter(train) [ 41100/480000] base_lr: 1.9644e-04 lr: 5.2410e-05 eta: 9 days, 21:48:06 time: 2.2986 data_time: 0.1167 memory: 26558 grad_norm: 1.0614 loss: 1.5821 grounding_loss_reg: 5.7785 detection_loss_cls: 0.1230 detection_loss_reg: 0.5948 caption_loss_cls: 3.1173 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.9740 semantic_segmentation_loss_cls: 0.0197 2023/10/01 21:28:55 - mmengine - INFO - Iter(train) [ 41200/480000] base_lr: 1.9642e-04 lr: 5.2406e-05 eta: 9 days, 23:53:56 time: 2.2939 data_time: 0.1167 memory: 26558 grad_norm: 1.0665 loss: 1.5881 grounding_loss_reg: 5.7747 detection_loss_cls: 0.1229 detection_loss_reg: 0.5954 caption_loss_cls: 3.1189 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.9745 semantic_segmentation_loss_cls: 0.0196 2023/10/01 21:33:00 - mmengine - INFO - Iter(train) [ 41300/480000] base_lr: 1.9641e-04 lr: 5.2401e-05 eta: 10 days, 3:07:57 time: 2.2887 data_time: 0.1166 memory: 26558 grad_norm: 1.0612 loss: 1.5837 grounding_loss_reg: 5.7698 detection_loss_cls: 0.1230 detection_loss_reg: 0.5956 caption_loss_cls: 3.1221 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.9742 semantic_segmentation_loss_cls: 0.0196 2023/10/01 21:37:14 - mmengine - INFO - Iter(train) [ 41400/480000] base_lr: 1.9639e-04 lr: 5.2397e-05 eta: 10 days, 6:35:11 time: 2.2988 data_time: 0.1167 memory: 26558 grad_norm: 1.0574 loss: 1.5782 grounding_loss_reg: 5.7658 detection_loss_cls: 0.1230 detection_loss_reg: 0.5954 caption_loss_cls: 3.1253 instance_segmentation_loss_cls: 0.0745 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.9747 semantic_segmentation_loss_cls: 0.0196 2023/10/01 21:40:49 - mmengine - INFO - Iter(train) [ 41500/480000] base_lr: 1.9637e-04 lr: 5.2392e-05 eta: 10 days, 7:18:26 time: 2.3012 data_time: 0.1167 memory: 26558 grad_norm: 1.0544 loss: 1.5726 grounding_loss_reg: 5.7623 detection_loss_cls: 0.1228 detection_loss_reg: 0.5951 caption_loss_cls: 3.1236 instance_segmentation_loss_cls: 0.0745 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.9733 semantic_segmentation_loss_cls: 0.0196 2023/10/01 21:40:49 - mmengine - INFO - Saving checkpoint at 41500 iterations 2023/10/01 21:45:38 - mmengine - INFO - Iter(train) [ 41600/480000] base_lr: 1.9635e-04 lr: 5.2388e-05 eta: 10 days, 12:11:27 time: 2.2943 data_time: 0.1163 memory: 26558 grad_norm: 1.0526 loss: 1.5766 grounding_loss_reg: 5.7614 detection_loss_cls: 0.1228 detection_loss_reg: 0.5942 caption_loss_cls: 3.1302 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.9720 semantic_segmentation_loss_cls: 0.0196 2023/10/01 21:49:35 - mmengine - INFO - Iter(train) [ 41700/480000] base_lr: 1.9634e-04 lr: 5.2383e-05 eta: 10 days, 13:48:26 time: 2.2878 data_time: 0.1163 memory: 26558 grad_norm: 1.0535 loss: 1.5766 grounding_loss_reg: 5.7573 detection_loss_cls: 0.1228 detection_loss_reg: 0.5951 caption_loss_cls: 3.1273 instance_segmentation_loss_cls: 0.0744 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.9705 semantic_segmentation_loss_cls: 0.0195 2023/10/01 21:53:26 - mmengine - INFO - Iter(train) [ 41800/480000] base_lr: 1.9632e-04 lr: 5.2379e-05 eta: 10 days, 14:56:20 time: 2.2783 data_time: 0.1164 memory: 25719 grad_norm: 1.0557 loss: 1.5864 grounding_loss_reg: 5.7559 detection_loss_cls: 0.1226 detection_loss_reg: 0.5955 caption_loss_cls: 3.1247 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.9721 semantic_segmentation_loss_cls: 0.0195 2023/10/01 21:57:05 - mmengine - INFO - Iter(train) [ 41900/480000] base_lr: 1.9630e-04 lr: 5.2374e-05 eta: 10 days, 15:21:42 time: 2.2719 data_time: 0.1163 memory: 25719 grad_norm: 1.0587 loss: 1.5887 grounding_loss_reg: 5.7519 detection_loss_cls: 0.1227 detection_loss_reg: 0.5963 caption_loss_cls: 3.1215 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.9717 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:01:06 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/01 22:01:06 - mmengine - INFO - Iter(train) [ 42000/480000] base_lr: 1.9628e-04 lr: 5.2370e-05 eta: 10 days, 16:49:14 time: 2.2621 data_time: 0.1163 memory: 25719 grad_norm: 1.0611 loss: 1.5940 grounding_loss_reg: 5.7519 detection_loss_cls: 0.1228 detection_loss_reg: 0.5979 caption_loss_cls: 3.1213 instance_segmentation_loss_cls: 0.0739 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.9701 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:01:06 - mmengine - INFO - Saving checkpoint at 42000 iterations 2023/10/01 22:05:46 - mmengine - INFO - Iter(train) [ 42100/480000] base_lr: 1.9627e-04 lr: 5.2365e-05 eta: 10 days, 19:59:23 time: 2.2513 data_time: 0.1163 memory: 26558 grad_norm: 1.0667 loss: 1.6133 grounding_loss_reg: 5.7498 detection_loss_cls: 0.1228 detection_loss_reg: 0.5982 caption_loss_cls: 3.1194 instance_segmentation_loss_cls: 0.0739 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.9714 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:10:10 - mmengine - INFO - Iter(train) [ 42200/480000] base_lr: 1.9625e-04 lr: 5.2361e-05 eta: 10 days, 22:10:36 time: 2.2582 data_time: 0.1163 memory: 26558 grad_norm: 1.0644 loss: 1.5995 grounding_loss_reg: 5.7465 detection_loss_cls: 0.1225 detection_loss_reg: 0.5973 caption_loss_cls: 3.1185 instance_segmentation_loss_cls: 0.0737 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.9679 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:14:02 - mmengine - INFO - Iter(train) [ 42300/480000] base_lr: 1.9623e-04 lr: 5.2356e-05 eta: 10 days, 22:51:08 time: 2.2539 data_time: 0.1163 memory: 26558 grad_norm: 1.0722 loss: 1.5997 grounding_loss_reg: 5.7407 detection_loss_cls: 0.1220 detection_loss_reg: 0.5953 caption_loss_cls: 3.1137 instance_segmentation_loss_cls: 0.0734 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.9660 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:18:01 - mmengine - INFO - Iter(train) [ 42400/480000] base_lr: 1.9621e-04 lr: 5.2351e-05 eta: 10 days, 23:44:32 time: 2.2502 data_time: 0.1162 memory: 26558 grad_norm: 1.0739 loss: 1.5929 grounding_loss_reg: 5.7367 detection_loss_cls: 0.1216 detection_loss_reg: 0.5947 caption_loss_cls: 3.1061 instance_segmentation_loss_cls: 0.0734 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.9655 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:22:10 - mmengine - INFO - Iter(train) [ 42500/480000] base_lr: 1.9619e-04 lr: 5.2347e-05 eta: 11 days, 0:59:38 time: 2.2555 data_time: 0.1162 memory: 26558 grad_norm: 1.0747 loss: 1.5868 grounding_loss_reg: 5.7348 detection_loss_cls: 0.1214 detection_loss_reg: 0.5939 caption_loss_cls: 3.1046 instance_segmentation_loss_cls: 0.0734 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.9627 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:22:10 - mmengine - INFO - Saving checkpoint at 42500 iterations 2023/10/01 22:27:35 - mmengine - INFO - Iter(train) [ 42600/480000] base_lr: 1.9618e-04 lr: 5.2342e-05 eta: 11 days, 5:06:05 time: 2.2623 data_time: 0.1166 memory: 26558 grad_norm: 1.0798 loss: 1.6031 grounding_loss_reg: 5.7297 detection_loss_cls: 0.1213 detection_loss_reg: 0.5933 caption_loss_cls: 3.1079 instance_segmentation_loss_cls: 0.0740 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.9657 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:31:33 - mmengine - INFO - Iter(train) [ 42700/480000] base_lr: 1.9616e-04 lr: 5.2338e-05 eta: 11 days, 5:40:25 time: 2.2558 data_time: 0.1166 memory: 26558 grad_norm: 1.0842 loss: 1.6150 grounding_loss_reg: 5.7255 detection_loss_cls: 0.1215 detection_loss_reg: 0.5945 caption_loss_cls: 3.1079 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.9652 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:36:00 - mmengine - INFO - Iter(train) [ 42800/480000] base_lr: 1.9614e-04 lr: 5.2333e-05 eta: 11 days, 7:15:22 time: 2.2557 data_time: 0.1166 memory: 26558 grad_norm: 1.0828 loss: 1.6115 grounding_loss_reg: 5.7249 detection_loss_cls: 0.1215 detection_loss_reg: 0.5951 caption_loss_cls: 3.1074 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.9642 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:39:51 - mmengine - INFO - Iter(train) [ 42900/480000] base_lr: 1.9612e-04 lr: 5.2328e-05 eta: 11 days, 7:29:24 time: 2.2584 data_time: 0.1165 memory: 26558 grad_norm: 1.0792 loss: 1.6070 grounding_loss_reg: 5.7232 detection_loss_cls: 0.1215 detection_loss_reg: 0.5944 caption_loss_cls: 3.1029 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.9616 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:44:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/01 22:44:00 - mmengine - INFO - Iter(train) [ 43000/480000] base_lr: 1.9611e-04 lr: 5.2324e-05 eta: 11 days, 8:18:31 time: 2.2551 data_time: 0.1165 memory: 26558 grad_norm: 1.0856 loss: 1.6076 grounding_loss_reg: 5.7200 detection_loss_cls: 0.1212 detection_loss_reg: 0.5940 caption_loss_cls: 3.0997 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.9621 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:44:00 - mmengine - INFO - Saving checkpoint at 43000 iterations 2023/10/01 22:48:37 - mmengine - INFO - Iter(train) [ 43100/480000] base_lr: 1.9609e-04 lr: 5.2319e-05 eta: 11 days, 10:00:05 time: 2.2529 data_time: 0.1165 memory: 26558 grad_norm: 1.0850 loss: 1.6069 grounding_loss_reg: 5.7159 detection_loss_cls: 0.1209 detection_loss_reg: 0.5940 caption_loss_cls: 3.0994 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.9618 semantic_segmentation_loss_cls: 0.0195 2023/10/01 22:53:09 - mmengine - INFO - Iter(train) [ 43200/480000] base_lr: 1.9607e-04 lr: 5.2314e-05 eta: 11 days, 11:27:53 time: 2.2615 data_time: 0.1166 memory: 26558 grad_norm: 1.0849 loss: 1.6193 grounding_loss_reg: 5.7154 detection_loss_cls: 0.1205 detection_loss_reg: 0.5939 caption_loss_cls: 3.1066 instance_segmentation_loss_cls: 0.0745 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.9615 semantic_segmentation_loss_cls: 0.0194 2023/10/01 22:57:36 - mmengine - INFO - Iter(train) [ 43300/480000] base_lr: 1.9605e-04 lr: 5.2310e-05 eta: 11 days, 12:39:43 time: 2.2730 data_time: 0.1167 memory: 26558 grad_norm: 1.0845 loss: 1.6208 grounding_loss_reg: 5.7138 detection_loss_cls: 0.1202 detection_loss_reg: 0.5935 caption_loss_cls: 3.1077 instance_segmentation_loss_cls: 0.0745 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.9611 semantic_segmentation_loss_cls: 0.0195 2023/10/01 23:01:33 - mmengine - INFO - Iter(train) [ 43400/480000] base_lr: 1.9603e-04 lr: 5.2305e-05 eta: 11 days, 12:54:04 time: 2.2783 data_time: 0.1167 memory: 26558 grad_norm: 1.0834 loss: 1.6232 grounding_loss_reg: 5.7100 detection_loss_cls: 0.1202 detection_loss_reg: 0.5947 caption_loss_cls: 3.1054 instance_segmentation_loss_cls: 0.0744 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.9617 semantic_segmentation_loss_cls: 0.0193 2023/10/01 23:05:45 - mmengine - INFO - Iter(train) [ 43500/480000] base_lr: 1.9601e-04 lr: 5.2300e-05 eta: 11 days, 13:32:54 time: 2.2891 data_time: 0.1167 memory: 26558 grad_norm: 1.0797 loss: 1.6176 grounding_loss_reg: 5.7073 detection_loss_cls: 0.1200 detection_loss_reg: 0.5946 caption_loss_cls: 3.0967 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.9592 semantic_segmentation_loss_cls: 0.0195 2023/10/01 23:05:45 - mmengine - INFO - Saving checkpoint at 43500 iterations 2023/10/01 23:10:38 - mmengine - INFO - Iter(train) [ 43600/480000] base_lr: 1.9600e-04 lr: 5.2295e-05 eta: 11 days, 15:21:45 time: 2.3258 data_time: 0.1321 memory: 26558 grad_norm: 1.0797 loss: 1.6219 grounding_loss_reg: 5.7026 detection_loss_cls: 0.1201 detection_loss_reg: 0.5952 caption_loss_cls: 3.0985 instance_segmentation_loss_cls: 0.0746 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.9600 semantic_segmentation_loss_cls: 0.0195 2023/10/01 23:14:54 - mmengine - INFO - Iter(train) [ 43700/480000] base_lr: 1.9598e-04 lr: 5.2291e-05 eta: 11 days, 16:02:41 time: 2.3521 data_time: 0.1321 memory: 26558 grad_norm: 1.0795 loss: 1.6266 grounding_loss_reg: 5.7011 detection_loss_cls: 0.1199 detection_loss_reg: 0.5939 caption_loss_cls: 3.0986 instance_segmentation_loss_cls: 0.0747 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.9606 semantic_segmentation_loss_cls: 0.0196 2023/10/01 23:18:41 - mmengine - INFO - Iter(train) [ 43800/480000] base_lr: 1.9596e-04 lr: 5.2286e-05 eta: 11 days, 15:52:25 time: 2.3707 data_time: 0.1320 memory: 25719 grad_norm: 1.0788 loss: 1.6218 grounding_loss_reg: 5.6994 detection_loss_cls: 0.1199 detection_loss_reg: 0.5943 caption_loss_cls: 3.1003 instance_segmentation_loss_cls: 0.0745 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.9592 semantic_segmentation_loss_cls: 0.0195 2023/10/01 23:22:39 - mmengine - INFO - Iter(train) [ 43900/480000] base_lr: 1.9594e-04 lr: 5.2281e-05 eta: 11 days, 15:59:12 time: 2.3909 data_time: 0.1320 memory: 26558 grad_norm: 1.0791 loss: 1.6215 grounding_loss_reg: 5.6969 detection_loss_cls: 0.1195 detection_loss_reg: 0.5928 caption_loss_cls: 3.0992 instance_segmentation_loss_cls: 0.0747 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.9590 semantic_segmentation_loss_cls: 0.0195 2023/10/01 23:26:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/01 23:26:28 - mmengine - INFO - Iter(train) [ 44000/480000] base_lr: 1.9592e-04 lr: 5.2276e-05 eta: 11 days, 15:52:28 time: 2.4068 data_time: 0.1319 memory: 26558 grad_norm: 1.0792 loss: 1.6275 grounding_loss_reg: 5.6922 detection_loss_cls: 0.1199 detection_loss_reg: 0.5939 caption_loss_cls: 3.1006 instance_segmentation_loss_cls: 0.0747 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.9597 semantic_segmentation_loss_cls: 0.0192 2023/10/01 23:26:28 - mmengine - INFO - Saving checkpoint at 44000 iterations 2023/10/01 23:31:35 - mmengine - INFO - Iter(train) [ 44100/480000] base_lr: 1.9590e-04 lr: 5.2272e-05 eta: 11 days, 17:48:34 time: 2.4280 data_time: 0.1322 memory: 26558 grad_norm: 1.0771 loss: 1.6258 grounding_loss_reg: 5.6876 detection_loss_cls: 0.1199 detection_loss_reg: 0.5936 caption_loss_cls: 3.0998 instance_segmentation_loss_cls: 0.0747 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.9612 semantic_segmentation_loss_cls: 0.0192 2023/10/01 23:35:51 - mmengine - INFO - Iter(train) [ 44200/480000] base_lr: 1.9589e-04 lr: 5.2267e-05 eta: 11 days, 18:19:56 time: 2.4486 data_time: 0.1322 memory: 26558 grad_norm: 1.0780 loss: 1.6273 grounding_loss_reg: 5.6869 detection_loss_cls: 0.1196 detection_loss_reg: 0.5925 caption_loss_cls: 3.0969 instance_segmentation_loss_cls: 0.0744 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.9606 semantic_segmentation_loss_cls: 0.0192 2023/10/01 23:40:29 - mmengine - INFO - Iter(train) [ 44300/480000] base_lr: 1.9587e-04 lr: 5.2262e-05 eta: 11 days, 19:23:54 time: 2.4727 data_time: 0.1323 memory: 26558 grad_norm: 1.0792 loss: 1.6311 grounding_loss_reg: 5.6845 detection_loss_cls: 0.1192 detection_loss_reg: 0.5911 caption_loss_cls: 3.0981 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.9583 semantic_segmentation_loss_cls: 0.0192 2023/10/01 23:44:14 - mmengine - INFO - Iter(train) [ 44400/480000] base_lr: 1.9585e-04 lr: 5.2257e-05 eta: 11 days, 19:07:19 time: 2.4831 data_time: 0.1322 memory: 25719 grad_norm: 1.0809 loss: 1.6294 grounding_loss_reg: 5.6814 detection_loss_cls: 0.1191 detection_loss_reg: 0.5907 caption_loss_cls: 3.0893 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.9581 semantic_segmentation_loss_cls: 0.0192 2023/10/01 23:48:03 - mmengine - INFO - Iter(train) [ 44500/480000] base_lr: 1.9583e-04 lr: 5.2252e-05 eta: 11 days, 18:56:04 time: 2.4934 data_time: 0.1322 memory: 26558 grad_norm: 1.0798 loss: 1.6297 grounding_loss_reg: 5.6787 detection_loss_cls: 0.1192 detection_loss_reg: 0.5908 caption_loss_cls: 3.0948 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.9587 semantic_segmentation_loss_cls: 0.0191 2023/10/01 23:48:03 - mmengine - INFO - Saving checkpoint at 44500 iterations 2023/10/01 23:53:26 - mmengine - INFO - Iter(train) [ 44600/480000] base_lr: 1.9581e-04 lr: 5.2248e-05 eta: 11 days, 20:59:25 time: 2.5057 data_time: 0.1324 memory: 26558 grad_norm: 1.0788 loss: 1.6334 grounding_loss_reg: 5.6769 detection_loss_cls: 0.1196 detection_loss_reg: 0.5925 caption_loss_cls: 3.0963 instance_segmentation_loss_cls: 0.0740 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.9572 semantic_segmentation_loss_cls: 0.0191 2023/10/01 23:57:51 - mmengine - INFO - Iter(train) [ 44700/480000] base_lr: 1.9579e-04 lr: 5.2243e-05 eta: 11 days, 21:35:43 time: 2.5212 data_time: 0.1324 memory: 26558 grad_norm: 1.0784 loss: 1.6399 grounding_loss_reg: 5.6732 detection_loss_cls: 0.1197 detection_loss_reg: 0.5929 caption_loss_cls: 3.0963 instance_segmentation_loss_cls: 0.0740 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.9579 semantic_segmentation_loss_cls: 0.0191 2023/10/02 00:02:19 - mmengine - INFO - Iter(train) [ 44800/480000] base_lr: 1.9577e-04 lr: 5.2238e-05 eta: 11 days, 22:15:33 time: 2.5330 data_time: 0.1324 memory: 26558 grad_norm: 1.0776 loss: 1.6364 grounding_loss_reg: 5.6661 detection_loss_cls: 0.1197 detection_loss_reg: 0.5941 caption_loss_cls: 3.0943 instance_segmentation_loss_cls: 0.0740 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.9586 semantic_segmentation_loss_cls: 0.0191 2023/10/02 00:06:30 - mmengine - INFO - Iter(train) [ 44900/480000] base_lr: 1.9576e-04 lr: 5.2233e-05 eta: 11 days, 22:30:19 time: 2.5421 data_time: 0.1325 memory: 26558 grad_norm: 1.0768 loss: 1.6299 grounding_loss_reg: 5.6610 detection_loss_cls: 0.1198 detection_loss_reg: 0.5956 caption_loss_cls: 3.0952 instance_segmentation_loss_cls: 0.0743 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.9588 semantic_segmentation_loss_cls: 0.0191 2023/10/02 00:11:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/02 00:11:17 - mmengine - INFO - Iter(train) [ 45000/480000] base_lr: 1.9574e-04 lr: 5.2228e-05 eta: 11 days, 23:32:55 time: 2.5585 data_time: 0.1325 memory: 26558 grad_norm: 1.0720 loss: 1.6249 grounding_loss_reg: 5.6596 detection_loss_cls: 0.1194 detection_loss_reg: 0.5937 caption_loss_cls: 3.0931 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.9559 semantic_segmentation_loss_cls: 0.0191 2023/10/02 00:11:17 - mmengine - INFO - Saving checkpoint at 45000 iterations 2023/10/02 00:16:52 - mmengine - INFO - Iter(train) [ 45100/480000] base_lr: 1.9572e-04 lr: 5.2223e-05 eta: 12 days, 1:34:30 time: 2.5756 data_time: 0.1333 memory: 26558 grad_norm: 1.0690 loss: 1.6266 grounding_loss_reg: 5.6577 detection_loss_cls: 0.1192 detection_loss_reg: 0.5925 caption_loss_cls: 3.0930 instance_segmentation_loss_cls: 0.0742 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.9568 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:20:49 - mmengine - INFO - Iter(train) [ 45200/480000] base_lr: 1.9570e-04 lr: 5.2218e-05 eta: 12 days, 1:26:08 time: 2.5784 data_time: 0.1333 memory: 26558 grad_norm: 1.0670 loss: 1.6177 grounding_loss_reg: 5.6532 detection_loss_cls: 0.1192 detection_loss_reg: 0.5925 caption_loss_cls: 3.0909 instance_segmentation_loss_cls: 0.0741 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.9549 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:25:10 - mmengine - INFO - Iter(train) [ 45300/480000] base_lr: 1.9568e-04 lr: 5.2214e-05 eta: 12 days, 1:49:19 time: 2.5824 data_time: 0.1332 memory: 25719 grad_norm: 1.0677 loss: 1.6188 grounding_loss_reg: 5.6514 detection_loss_cls: 0.1194 detection_loss_reg: 0.5950 caption_loss_cls: 3.0910 instance_segmentation_loss_cls: 0.0737 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.9540 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:29:50 - mmengine - INFO - Iter(train) [ 45400/480000] base_lr: 1.9566e-04 lr: 5.2209e-05 eta: 12 days, 2:34:03 time: 2.5888 data_time: 0.1332 memory: 25719 grad_norm: 1.0653 loss: 1.6145 grounding_loss_reg: 5.6507 detection_loss_cls: 0.1189 detection_loss_reg: 0.5939 caption_loss_cls: 3.0915 instance_segmentation_loss_cls: 0.0736 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.9529 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:33:46 - mmengine - INFO - Iter(train) [ 45500/480000] base_lr: 1.9564e-04 lr: 5.2204e-05 eta: 12 days, 2:24:56 time: 2.5941 data_time: 0.1332 memory: 26558 grad_norm: 1.0658 loss: 1.6155 grounding_loss_reg: 5.6475 detection_loss_cls: 0.1187 detection_loss_reg: 0.5934 caption_loss_cls: 3.0886 instance_segmentation_loss_cls: 0.0737 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.9530 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:33:46 - mmengine - INFO - Saving checkpoint at 45500 iterations 2023/10/02 00:38:47 - mmengine - INFO - Iter(train) [ 45600/480000] base_lr: 1.9562e-04 lr: 5.2199e-05 eta: 12 days, 3:32:26 time: 2.5973 data_time: 0.1334 memory: 26558 grad_norm: 1.0650 loss: 1.6077 grounding_loss_reg: 5.6449 detection_loss_cls: 0.1187 detection_loss_reg: 0.5938 caption_loss_cls: 3.0873 instance_segmentation_loss_cls: 0.0736 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.9520 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:43:18 - mmengine - INFO - Iter(train) [ 45700/480000] base_lr: 1.9560e-04 lr: 5.2194e-05 eta: 12 days, 4:02:50 time: 2.6057 data_time: 0.1334 memory: 26558 grad_norm: 1.0598 loss: 1.5990 grounding_loss_reg: 5.6435 detection_loss_cls: 0.1186 detection_loss_reg: 0.5932 caption_loss_cls: 3.0841 instance_segmentation_loss_cls: 0.0736 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.9513 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:47:41 - mmengine - INFO - Iter(train) [ 45800/480000] base_lr: 1.9559e-04 lr: 5.2189e-05 eta: 12 days, 4:22:31 time: 2.6137 data_time: 0.1334 memory: 26558 grad_norm: 1.0611 loss: 1.5922 grounding_loss_reg: 5.6424 detection_loss_cls: 0.1181 detection_loss_reg: 0.5908 caption_loss_cls: 3.0788 instance_segmentation_loss_cls: 0.0737 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.9509 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:51:34 - mmengine - INFO - Iter(train) [ 45900/480000] base_lr: 1.9557e-04 lr: 5.2184e-05 eta: 12 days, 4:08:10 time: 2.6173 data_time: 0.1333 memory: 26558 grad_norm: 1.0599 loss: 1.5879 grounding_loss_reg: 5.6399 detection_loss_cls: 0.1178 detection_loss_reg: 0.5891 caption_loss_cls: 3.0807 instance_segmentation_loss_cls: 0.0734 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.9472 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:56:07 - mmengine - INFO - Exp name: univision_joint_all_huge_20231001_200711 2023/10/02 00:56:07 - mmengine - INFO - Iter(train) [ 46000/480000] base_lr: 1.9555e-04 lr: 5.2179e-05 eta: 12 days, 4:37:29 time: 2.6251 data_time: 0.1333 memory: 25719 grad_norm: 1.0557 loss: 1.5770 grounding_loss_reg: 5.6390 detection_loss_cls: 0.1176 detection_loss_reg: 0.5891 caption_loss_cls: 3.0824 instance_segmentation_loss_cls: 0.0732 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.9441 semantic_segmentation_loss_cls: 0.0190 2023/10/02 00:56:07 - mmengine - INFO - Saving checkpoint at 46000 iterations 2023/10/02 01:01:13 - mmengine - INFO - Iter(train) [ 46100/480000] base_lr: 1.9553e-04 lr: 5.2174e-05 eta: 12 days, 5:42:44 time: 2.6316 data_time: 0.1332 memory: 26558 grad_norm: 1.0589 loss: 1.5744 grounding_loss_reg: 5.6345 detection_loss_cls: 0.1173 detection_loss_reg: 0.5873 caption_loss_cls: 3.0818 instance_segmentation_loss_cls: 0.0729 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.9425 semantic_segmentation_loss_cls: 0.0190 2023/10/02 01:05:16 - mmengine - INFO - Iter(train) [ 46200/480000] base_lr: 1.9551e-04 lr: 5.2169e-05 eta: 12 days, 5:37:50 time: 2.6264 data_time: 0.1332 memory: 25719 grad_norm: 1.0549 loss: 1.5737 grounding_loss_reg: 5.6303 detection_loss_cls: 0.1168 detection_loss_reg: 0.5852 caption_loss_cls: 3.0873 instance_segmentation_loss_cls: 0.0727 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.9419 semantic_segmentation_loss_cls: 0.0190 2023/10/02 01:41:34 - mmengine - INFO - Iter(train) [ 46300/480000] base_lr: 1.9549e-04 lr: 5.2164e-05 eta: 7 days, 14:25:18 time: 2.5446 data_time: 0.1183 memory: 26633 grad_norm: 1.0547 loss: 1.5847 grounding_loss_reg: 5.6255 detection_loss_cls: 0.1178 detection_loss_reg: 0.5928 caption_loss_cls: 3.0837 instance_segmentation_loss_cls: 0.0728 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.9428 semantic_segmentation_loss_cls: 0.0190 2023/10/02 01:44:16 - mmengine - INFO - Iter(train) [ 46400/480000] base_lr: 1.9547e-04 lr: 5.2159e-05 eta: 7 days, 17:33:47 time: 2.5254 data_time: 0.1184 memory: 26633 grad_norm: 1.0569 loss: 1.5943 grounding_loss_reg: 5.6224 detection_loss_cls: 0.1175 detection_loss_reg: 0.5920 caption_loss_cls: 3.0779 instance_segmentation_loss_cls: 0.0727 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.9454 semantic_segmentation_loss_cls: 0.0190 2023/10/02 01:47:14 - mmengine - INFO - Iter(train) [ 46500/480000] base_lr: 1.9545e-04 lr: 5.2154e-05 eta: 7 days, 23:26:15 time: 2.5077 data_time: 0.1184 memory: 26633 grad_norm: 1.0548 loss: 1.5963 grounding_loss_reg: 5.6216 detection_loss_cls: 0.1179 detection_loss_reg: 0.5946 caption_loss_cls: 3.0759 instance_segmentation_loss_cls: 0.0726 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.9428 semantic_segmentation_loss_cls: 0.0190 2023/10/02 01:47:14 - mmengine - INFO - Saving checkpoint at 46500 iterations 2023/10/02 01:50:49 - mmengine - INFO - Iter(train) [ 46600/480000] base_lr: 1.9543e-04 lr: 5.2149e-05 eta: 8 days, 10:32:22 time: 2.4802 data_time: 0.1181 memory: 26633 grad_norm: 1.0529 loss: 1.5908 grounding_loss_reg: 5.6202 detection_loss_cls: 0.1182 detection_loss_reg: 0.5966 caption_loss_cls: 3.0699 instance_segmentation_loss_cls: 0.0730 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.9450 semantic_segmentation_loss_cls: 0.0190 2023/10/02 01:53:47 - mmengine - INFO - Iter(train) [ 46700/480000] base_lr: 1.9541e-04 lr: 5.2144e-05 eta: 8 days, 12:09:12 time: 2.4652 data_time: 0.1180 memory: 26633 grad_norm: 1.0485 loss: 1.5817 grounding_loss_reg: 5.6189 detection_loss_cls: 0.1181 detection_loss_reg: 0.5978 caption_loss_cls: 3.0670 instance_segmentation_loss_cls: 0.0730 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.9449 semantic_segmentation_loss_cls: 0.0189 2023/10/02 01:56:57 - mmengine - INFO - Iter(train) [ 46800/480000] base_lr: 1.9539e-04 lr: 5.2139e-05 eta: 8 days, 15:14:59 time: 2.4461 data_time: 0.1180 memory: 26633 grad_norm: 1.0477 loss: 1.5828 grounding_loss_reg: 5.6182 detection_loss_cls: 0.1187 detection_loss_reg: 0.5989 caption_loss_cls: 3.0659 instance_segmentation_loss_cls: 0.0731 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.9459 semantic_segmentation_loss_cls: 0.0189 2023/10/02 02:00:11 - mmengine - INFO - Iter(train) [ 46900/480000] base_lr: 1.9537e-04 lr: 5.2134e-05 eta: 8 days, 18:06:51 time: 2.4367 data_time: 0.1181 memory: 26633 grad_norm: 1.0487 loss: 1.5869 grounding_loss_reg: 5.6139 detection_loss_cls: 0.1187 detection_loss_reg: 0.5989 caption_loss_cls: 3.0666 instance_segmentation_loss_cls: 0.0731 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.9480 semantic_segmentation_loss_cls: 0.0189 2023/10/02 02:03:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_010813 2023/10/02 02:03:13 - mmengine - INFO - Iter(train) [ 47000/480000] base_lr: 1.9535e-04 lr: 5.2129e-05 eta: 8 days, 18:57:57 time: 2.4200 data_time: 0.1181 memory: 26633 grad_norm: 1.0499 loss: 1.5914 grounding_loss_reg: 5.6107 detection_loss_cls: 0.1185 detection_loss_reg: 0.5977 caption_loss_cls: 3.0656 instance_segmentation_loss_cls: 0.0730 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.9466 semantic_segmentation_loss_cls: 0.0189 2023/10/02 02:03:13 - mmengine - INFO - Saving checkpoint at 47000 iterations 2023/10/02 02:07:47 - mmengine - INFO - Iter(train) [ 47100/480000] base_lr: 1.9533e-04 lr: 5.2123e-05 eta: 9 days, 5:39:27 time: 2.4193 data_time: 0.1187 memory: 26633 grad_norm: 1.0449 loss: 1.5848 grounding_loss_reg: 5.6073 detection_loss_cls: 0.1186 detection_loss_reg: 0.5981 caption_loss_cls: 3.0632 instance_segmentation_loss_cls: 0.0724 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.9443 semantic_segmentation_loss_cls: 0.0189 2023/10/02 02:11:05 - mmengine - INFO - Iter(train) [ 47200/480000] base_lr: 1.9531e-04 lr: 5.2118e-05 eta: 9 days, 7:00:17 time: 2.4008 data_time: 0.1185 memory: 25793 grad_norm: 1.0484 loss: 1.5729 grounding_loss_reg: 5.6014 detection_loss_cls: 0.1185 detection_loss_reg: 0.5981 caption_loss_cls: 3.0629 instance_segmentation_loss_cls: 0.0722 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.9398 semantic_segmentation_loss_cls: 0.0189 2023/10/02 02:14:59 - mmengine - INFO - Iter(train) [ 47300/480000] base_lr: 1.9529e-04 lr: 5.2113e-05 eta: 9 days, 11:22:50 time: 2.3925 data_time: 0.1185 memory: 26633 grad_norm: 1.0467 loss: 1.5718 grounding_loss_reg: 5.5992 detection_loss_cls: 0.1185 detection_loss_reg: 0.5975 caption_loss_cls: 3.0680 instance_segmentation_loss_cls: 0.0721 instance_segmentation_loss_reg: 0.2821 instance_segmentation_loss_poly: 0.9393 semantic_segmentation_loss_cls: 0.0189 2023/10/02 02:18:30 - mmengine - INFO - Iter(train) [ 47400/480000] base_lr: 1.9527e-04 lr: 5.2108e-05 eta: 9 days, 13:10:37 time: 2.3858 data_time: 0.1185 memory: 26633 grad_norm: 1.0484 loss: 1.5710 grounding_loss_reg: 5.5937 detection_loss_cls: 0.1186 detection_loss_reg: 0.5978 caption_loss_cls: 3.0663 instance_segmentation_loss_cls: 0.0719 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.9384 semantic_segmentation_loss_cls: 0.0188 2023/10/02 02:22:18 - mmengine - INFO - Iter(train) [ 47500/480000] base_lr: 1.9525e-04 lr: 5.2103e-05 eta: 9 days, 16:08:26 time: 2.3799 data_time: 0.1186 memory: 26633 grad_norm: 1.0468 loss: 1.5815 grounding_loss_reg: 5.5904 detection_loss_cls: 0.1186 detection_loss_reg: 0.5986 caption_loss_cls: 3.0658 instance_segmentation_loss_cls: 0.0721 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.9393 semantic_segmentation_loss_cls: 0.0188 2023/10/02 02:22:18 - mmengine - INFO - Saving checkpoint at 47500 iterations 2023/10/02 02:26:49 - mmengine - INFO - Iter(train) [ 47600/480000] base_lr: 1.9523e-04 lr: 5.2098e-05 eta: 9 days, 21:55:33 time: 2.3746 data_time: 0.1185 memory: 26633 grad_norm: 1.0396 loss: 1.5755 grounding_loss_reg: 5.5876 detection_loss_cls: 0.1184 detection_loss_reg: 0.5978 caption_loss_cls: 3.0693 instance_segmentation_loss_cls: 0.0726 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.9413 semantic_segmentation_loss_cls: 0.0187 2023/10/02 02:30:34 - mmengine - INFO - Iter(train) [ 47700/480000] base_lr: 1.9521e-04 lr: 5.2093e-05 eta: 9 days, 23:44:37 time: 2.3666 data_time: 0.1185 memory: 26633 grad_norm: 1.0415 loss: 1.5836 grounding_loss_reg: 5.5843 detection_loss_cls: 0.1183 detection_loss_reg: 0.5960 caption_loss_cls: 3.0710 instance_segmentation_loss_cls: 0.0725 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.9426 semantic_segmentation_loss_cls: 0.0186 2023/10/02 02:34:25 - mmengine - INFO - Iter(train) [ 47800/480000] base_lr: 1.9519e-04 lr: 5.2088e-05 eta: 10 days, 1:47:03 time: 2.3676 data_time: 0.1185 memory: 26633 grad_norm: 1.0377 loss: 1.5741 grounding_loss_reg: 5.5792 detection_loss_cls: 0.1181 detection_loss_reg: 0.5957 caption_loss_cls: 3.0727 instance_segmentation_loss_cls: 0.0726 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.9422 semantic_segmentation_loss_cls: 0.0187 2023/10/02 02:38:27 - mmengine - INFO - Iter(train) [ 47900/480000] base_lr: 1.9517e-04 lr: 5.2082e-05 eta: 10 days, 4:20:31 time: 2.3689 data_time: 0.1185 memory: 26633 grad_norm: 1.0366 loss: 1.5722 grounding_loss_reg: 5.5768 detection_loss_cls: 0.1182 detection_loss_reg: 0.5962 caption_loss_cls: 3.0744 instance_segmentation_loss_cls: 0.0723 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.9397 semantic_segmentation_loss_cls: 0.0186 2023/10/02 02:42:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_010813 2023/10/02 02:42:00 - mmengine - INFO - Iter(train) [ 48000/480000] base_lr: 1.9515e-04 lr: 5.2077e-05 eta: 10 days, 4:50:47 time: 2.3648 data_time: 0.1185 memory: 26633 grad_norm: 1.0340 loss: 1.5632 grounding_loss_reg: 5.5743 detection_loss_cls: 0.1180 detection_loss_reg: 0.5960 caption_loss_cls: 3.0715 instance_segmentation_loss_cls: 0.0724 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.9395 semantic_segmentation_loss_cls: 0.0186 2023/10/02 02:42:00 - mmengine - INFO - Saving checkpoint at 48000 iterations 2023/10/02 02:46:48 - mmengine - INFO - Iter(train) [ 48100/480000] base_lr: 1.9513e-04 lr: 5.2072e-05 eta: 10 days, 9:32:54 time: 2.3599 data_time: 0.1187 memory: 26633 grad_norm: 1.0336 loss: 1.5642 grounding_loss_reg: 5.5742 detection_loss_cls: 0.1181 detection_loss_reg: 0.5966 caption_loss_cls: 3.0710 instance_segmentation_loss_cls: 0.0724 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.9392 semantic_segmentation_loss_cls: 0.0186 2023/10/02 02:50:52 - mmengine - INFO - Iter(train) [ 48200/480000] base_lr: 1.9511e-04 lr: 5.2067e-05 eta: 10 days, 11:27:05 time: 2.3570 data_time: 0.1187 memory: 26633 grad_norm: 1.0370 loss: 1.5684 grounding_loss_reg: 5.5723 detection_loss_cls: 0.1178 detection_loss_reg: 0.5958 caption_loss_cls: 3.0745 instance_segmentation_loss_cls: 0.0723 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.9377 semantic_segmentation_loss_cls: 0.0185 2023/10/02 02:54:43 - mmengine - INFO - Iter(train) [ 48300/480000] base_lr: 1.9509e-04 lr: 5.2062e-05 eta: 10 days, 12:31:32 time: 2.3453 data_time: 0.1186 memory: 25793 grad_norm: 1.0359 loss: 1.5639 grounding_loss_reg: 5.5683 detection_loss_cls: 0.1177 detection_loss_reg: 0.5952 caption_loss_cls: 3.0717 instance_segmentation_loss_cls: 0.0719 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.9361 semantic_segmentation_loss_cls: 0.0185 2023/10/02 02:58:23 - mmengine - INFO - Iter(train) [ 48400/480000] base_lr: 1.9507e-04 lr: 5.2056e-05 eta: 10 days, 12:56:00 time: 2.3439 data_time: 0.1187 memory: 25793 grad_norm: 1.0389 loss: 1.5701 grounding_loss_reg: 5.5645 detection_loss_cls: 0.1182 detection_loss_reg: 0.5974 caption_loss_cls: 3.0671 instance_segmentation_loss_cls: 0.0716 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.9345 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:02:27 - mmengine - INFO - Iter(train) [ 48500/480000] base_lr: 1.9505e-04 lr: 5.2051e-05 eta: 10 days, 14:27:16 time: 2.3476 data_time: 0.1187 memory: 25793 grad_norm: 1.0351 loss: 1.5632 grounding_loss_reg: 5.5645 detection_loss_cls: 0.1178 detection_loss_reg: 0.5969 caption_loss_cls: 3.0690 instance_segmentation_loss_cls: 0.0716 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.9331 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:02:27 - mmengine - INFO - Saving checkpoint at 48500 iterations 2023/10/02 03:07:11 - mmengine - INFO - Iter(train) [ 48600/480000] base_lr: 1.9503e-04 lr: 5.2046e-05 eta: 10 days, 17:42:41 time: 2.3379 data_time: 0.1186 memory: 26633 grad_norm: 1.0385 loss: 1.5651 grounding_loss_reg: 5.5639 detection_loss_cls: 0.1174 detection_loss_reg: 0.5964 caption_loss_cls: 3.0716 instance_segmentation_loss_cls: 0.0714 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.9326 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:11:31 - mmengine - INFO - Iter(train) [ 48700/480000] base_lr: 1.9501e-04 lr: 5.2041e-05 eta: 10 days, 19:37:01 time: 2.3366 data_time: 0.1186 memory: 26633 grad_norm: 1.0392 loss: 1.5661 grounding_loss_reg: 5.5599 detection_loss_cls: 0.1181 detection_loss_reg: 0.5980 caption_loss_cls: 3.0747 instance_segmentation_loss_cls: 0.0717 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.9340 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:15:14 - mmengine - INFO - Iter(train) [ 48800/480000] base_lr: 1.9499e-04 lr: 5.2035e-05 eta: 10 days, 19:51:08 time: 2.3254 data_time: 0.1186 memory: 26633 grad_norm: 1.0468 loss: 1.5768 grounding_loss_reg: 5.5555 detection_loss_cls: 0.1184 detection_loss_reg: 0.5980 caption_loss_cls: 3.0711 instance_segmentation_loss_cls: 0.0715 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.9323 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:19:11 - mmengine - INFO - Iter(train) [ 48900/480000] base_lr: 1.9497e-04 lr: 5.2030e-05 eta: 10 days, 20:36:10 time: 2.3219 data_time: 0.1186 memory: 26633 grad_norm: 1.0436 loss: 1.5695 grounding_loss_reg: 5.5519 detection_loss_cls: 0.1182 detection_loss_reg: 0.5970 caption_loss_cls: 3.0714 instance_segmentation_loss_cls: 0.0715 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.9313 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:23:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_010813 2023/10/02 03:23:09 - mmengine - INFO - Iter(train) [ 49000/480000] base_lr: 1.9495e-04 lr: 5.2025e-05 eta: 10 days, 21:20:47 time: 2.3095 data_time: 0.1186 memory: 26633 grad_norm: 1.0478 loss: 1.5729 grounding_loss_reg: 5.5502 detection_loss_cls: 0.1182 detection_loss_reg: 0.5973 caption_loss_cls: 3.0713 instance_segmentation_loss_cls: 0.0716 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.9288 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:23:09 - mmengine - INFO - Saving checkpoint at 49000 iterations 2023/10/02 03:28:11 - mmengine - INFO - Iter(train) [ 49100/480000] base_lr: 1.9493e-04 lr: 5.2019e-05 eta: 11 days, 0:30:51 time: 2.3012 data_time: 0.1187 memory: 26633 grad_norm: 1.0551 loss: 1.5794 grounding_loss_reg: 5.5441 detection_loss_cls: 0.1176 detection_loss_reg: 0.5962 caption_loss_cls: 3.0722 instance_segmentation_loss_cls: 0.0717 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.9302 semantic_segmentation_loss_cls: 0.0184 2023/10/02 03:32:05 - mmengine - INFO - Iter(train) [ 49200/480000] base_lr: 1.9491e-04 lr: 5.2014e-05 eta: 11 days, 0:58:03 time: 2.3008 data_time: 0.1187 memory: 26633 grad_norm: 1.0558 loss: 1.5796 grounding_loss_reg: 5.5403 detection_loss_cls: 0.1175 detection_loss_reg: 0.5965 caption_loss_cls: 3.0676 instance_segmentation_loss_cls: 0.0718 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.9306 semantic_segmentation_loss_cls: 0.0184 2023/10/02 03:36:29 - mmengine - INFO - Iter(train) [ 49300/480000] base_lr: 1.9489e-04 lr: 5.2009e-05 eta: 11 days, 2:26:14 time: 2.3014 data_time: 0.1188 memory: 26633 grad_norm: 1.0560 loss: 1.5797 grounding_loss_reg: 5.5370 detection_loss_cls: 0.1176 detection_loss_reg: 0.5984 caption_loss_cls: 3.0668 instance_segmentation_loss_cls: 0.0721 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.9314 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:40:18 - mmengine - INFO - Iter(train) [ 49400/480000] base_lr: 1.9487e-04 lr: 5.2003e-05 eta: 11 days, 2:34:56 time: 2.2886 data_time: 0.1188 memory: 26633 grad_norm: 1.0604 loss: 1.5820 grounding_loss_reg: 5.5340 detection_loss_cls: 0.1175 detection_loss_reg: 0.5983 caption_loss_cls: 3.0646 instance_segmentation_loss_cls: 0.0719 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.9287 semantic_segmentation_loss_cls: 0.0185 2023/10/02 03:44:25 - mmengine - INFO - Iter(train) [ 49500/480000] base_lr: 1.9485e-04 lr: 5.1998e-05 eta: 11 days, 3:20:35 time: 2.2912 data_time: 0.1188 memory: 26633 grad_norm: 1.0595 loss: 1.5778 grounding_loss_reg: 5.5295 detection_loss_cls: 0.1167 detection_loss_reg: 0.5954 caption_loss_cls: 3.0614 instance_segmentation_loss_cls: 0.0720 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.9291 semantic_segmentation_loss_cls: 0.0184 2023/10/02 03:44:25 - mmengine - INFO - Saving checkpoint at 49500 iterations 2023/10/02 03:49:09 - mmengine - INFO - Iter(train) [ 49600/480000] base_lr: 1.9483e-04 lr: 5.1993e-05 eta: 11 days, 5:18:16 time: 2.2871 data_time: 0.1187 memory: 26633 grad_norm: 1.0667 loss: 1.5815 grounding_loss_reg: 5.5246 detection_loss_cls: 0.1172 detection_loss_reg: 0.5963 caption_loss_cls: 3.0573 instance_segmentation_loss_cls: 0.0719 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.9282 semantic_segmentation_loss_cls: 0.0184 2023/10/02 03:53:24 - mmengine - INFO - Iter(train) [ 49700/480000] base_lr: 1.9481e-04 lr: 5.1987e-05 eta: 11 days, 6:11:17 time: 2.2830 data_time: 0.1187 memory: 26633 grad_norm: 1.0661 loss: 1.5822 grounding_loss_reg: 5.5239 detection_loss_cls: 0.1167 detection_loss_reg: 0.5949 caption_loss_cls: 3.0602 instance_segmentation_loss_cls: 0.0716 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.9262 semantic_segmentation_loss_cls: 0.0184 2023/10/02 03:57:44 - mmengine - INFO - Iter(train) [ 49800/480000] base_lr: 1.9479e-04 lr: 5.1982e-05 eta: 11 days, 7:13:15 time: 2.2825 data_time: 0.1187 memory: 26633 grad_norm: 1.0644 loss: 1.5821 grounding_loss_reg: 5.5232 detection_loss_cls: 0.1170 detection_loss_reg: 0.5962 caption_loss_cls: 3.0604 instance_segmentation_loss_cls: 0.0716 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.9271 semantic_segmentation_loss_cls: 0.0184 2023/10/02 04:01:38 - mmengine - INFO - Iter(train) [ 49900/480000] base_lr: 1.9477e-04 lr: 5.1977e-05 eta: 11 days, 7:20:52 time: 2.2825 data_time: 0.1187 memory: 26633 grad_norm: 1.0633 loss: 1.5762 grounding_loss_reg: 5.5169 detection_loss_cls: 0.1165 detection_loss_reg: 0.5938 caption_loss_cls: 3.0543 instance_segmentation_loss_cls: 0.0714 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.9258 semantic_segmentation_loss_cls: 0.0183 2023/10/02 04:05:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_010813 2023/10/02 04:05:46 - mmengine - INFO - Iter(train) [ 50000/480000] base_lr: 1.9475e-04 lr: 5.1971e-05 eta: 11 days, 7:55:33 time: 2.2766 data_time: 0.1188 memory: 26633 grad_norm: 1.0688 loss: 1.5835 grounding_loss_reg: 5.5139 detection_loss_cls: 0.1164 detection_loss_reg: 0.5942 caption_loss_cls: 3.0496 instance_segmentation_loss_cls: 0.0714 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.9266 semantic_segmentation_loss_cls: 0.0183 2023/10/02 04:05:46 - mmengine - INFO - Saving checkpoint at 50000 iterations 2023/10/02 04:10:36 - mmengine - INFO - Iter(train) [ 50100/480000] base_lr: 1.9473e-04 lr: 5.1966e-05 eta: 11 days, 9:40:46 time: 2.3114 data_time: 0.1339 memory: 26633 grad_norm: 1.0661 loss: 1.5783 grounding_loss_reg: 5.5129 detection_loss_cls: 0.1163 detection_loss_reg: 0.5943 caption_loss_cls: 3.0452 instance_segmentation_loss_cls: 0.0715 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.9252 semantic_segmentation_loss_cls: 0.0183 2023/10/02 04:14:57 - mmengine - INFO - Iter(train) [ 50200/480000] base_lr: 1.9470e-04 lr: 5.1960e-05 eta: 11 days, 10:31:08 time: 2.3390 data_time: 0.1340 memory: 26633 grad_norm: 1.0640 loss: 1.5751 grounding_loss_reg: 5.5085 detection_loss_cls: 0.1160 detection_loss_reg: 0.5938 caption_loss_cls: 3.0459 instance_segmentation_loss_cls: 0.0712 instance_segmentation_loss_reg: 0.2790 instance_segmentation_loss_poly: 0.9225 semantic_segmentation_loss_cls: 0.0184 2023/10/02 04:18:40 - mmengine - INFO - Iter(train) [ 50300/480000] base_lr: 1.9468e-04 lr: 5.1955e-05 eta: 11 days, 10:15:25 time: 2.3565 data_time: 0.1339 memory: 25793 grad_norm: 1.0634 loss: 1.5742 grounding_loss_reg: 5.5063 detection_loss_cls: 0.1157 detection_loss_reg: 0.5924 caption_loss_cls: 3.0425 instance_segmentation_loss_cls: 0.0709 instance_segmentation_loss_reg: 0.2785 instance_segmentation_loss_poly: 0.9216 semantic_segmentation_loss_cls: 0.0183 2023/10/02 04:22:40 - mmengine - INFO - Iter(train) [ 50400/480000] base_lr: 1.9466e-04 lr: 5.1950e-05 eta: 11 days, 10:27:32 time: 2.3759 data_time: 0.1339 memory: 26633 grad_norm: 1.0652 loss: 1.5737 grounding_loss_reg: 5.5031 detection_loss_cls: 0.1159 detection_loss_reg: 0.5937 caption_loss_cls: 3.0413 instance_segmentation_loss_cls: 0.0711 instance_segmentation_loss_reg: 0.2789 instance_segmentation_loss_poly: 0.9216 semantic_segmentation_loss_cls: 0.0187 2023/10/02 04:26:38 - mmengine - INFO - Iter(train) [ 50500/480000] base_lr: 1.9464e-04 lr: 5.1944e-05 eta: 11 days, 10:37:12 time: 2.3908 data_time: 0.1338 memory: 26633 grad_norm: 1.0678 loss: 1.5789 grounding_loss_reg: 5.4972 detection_loss_cls: 0.1157 detection_loss_reg: 0.5933 caption_loss_cls: 3.0467 instance_segmentation_loss_cls: 0.0711 instance_segmentation_loss_reg: 0.2793 instance_segmentation_loss_poly: 0.9224 semantic_segmentation_loss_cls: 0.0186 2023/10/02 04:26:38 - mmengine - INFO - Saving checkpoint at 50500 iterations 2023/10/02 04:31:44 - mmengine - INFO - Iter(train) [ 50600/480000] base_lr: 1.9462e-04 lr: 5.1939e-05 eta: 11 days, 12:30:28 time: 2.4136 data_time: 0.1335 memory: 26633 grad_norm: 1.0649 loss: 1.5717 grounding_loss_reg: 5.4940 detection_loss_cls: 0.1148 detection_loss_reg: 0.5908 caption_loss_cls: 3.0413 instance_segmentation_loss_cls: 0.0709 instance_segmentation_loss_reg: 0.2789 instance_segmentation_loss_poly: 0.9213 semantic_segmentation_loss_cls: 0.0186 2023/10/02 04:36:04 - mmengine - INFO - Iter(train) [ 50700/480000] base_lr: 1.9460e-04 lr: 5.1933e-05 eta: 11 days, 13:10:00 time: 2.4342 data_time: 0.1336 memory: 26633 grad_norm: 1.0644 loss: 1.5671 grounding_loss_reg: 5.4930 detection_loss_cls: 0.1146 detection_loss_reg: 0.5886 caption_loss_cls: 3.0357 instance_segmentation_loss_cls: 0.0708 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.9199 semantic_segmentation_loss_cls: 0.0186 2023/10/02 04:40:42 - mmengine - INFO - Iter(train) [ 50800/480000] base_lr: 1.9458e-04 lr: 5.1928e-05 eta: 11 days, 14:13:39 time: 2.4560 data_time: 0.1336 memory: 26633 grad_norm: 1.0662 loss: 1.5666 grounding_loss_reg: 5.4905 detection_loss_cls: 0.1148 detection_loss_reg: 0.5888 caption_loss_cls: 3.0364 instance_segmentation_loss_cls: 0.0702 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.9149 semantic_segmentation_loss_cls: 0.0186 2023/10/02 04:44:21 - mmengine - INFO - Iter(train) [ 50900/480000] base_lr: 1.9456e-04 lr: 5.1922e-05 eta: 11 days, 13:49:30 time: 2.4623 data_time: 0.1335 memory: 25793 grad_norm: 1.0657 loss: 1.5626 grounding_loss_reg: 5.4855 detection_loss_cls: 0.1148 detection_loss_reg: 0.5894 caption_loss_cls: 3.0337 instance_segmentation_loss_cls: 0.0702 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.9141 semantic_segmentation_loss_cls: 0.0186 2023/10/02 04:47:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_010813 2023/10/02 04:47:56 - mmengine - INFO - Iter(train) [ 51000/480000] base_lr: 1.9454e-04 lr: 5.1917e-05 eta: 11 days, 13:19:00 time: 2.4704 data_time: 0.1334 memory: 26633 grad_norm: 1.0642 loss: 1.5568 grounding_loss_reg: 5.4836 detection_loss_cls: 0.1143 detection_loss_reg: 0.5864 caption_loss_cls: 3.0279 instance_segmentation_loss_cls: 0.0701 instance_segmentation_loss_reg: 0.2754 instance_segmentation_loss_poly: 0.9121 semantic_segmentation_loss_cls: 0.0185 2023/10/02 04:47:56 - mmengine - INFO - Saving checkpoint at 51000 iterations 2023/10/02 04:53:18 - mmengine - INFO - Iter(train) [ 51100/480000] base_lr: 1.9451e-04 lr: 5.1911e-05 eta: 11 days, 15:20:46 time: 2.4826 data_time: 0.1330 memory: 26633 grad_norm: 1.0633 loss: 1.5558 grounding_loss_reg: 5.4810 detection_loss_cls: 0.1143 detection_loss_reg: 0.5864 caption_loss_cls: 3.0273 instance_segmentation_loss_cls: 0.0700 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.9124 semantic_segmentation_loss_cls: 0.0185 2023/10/02 04:57:38 - mmengine - INFO - Iter(train) [ 51200/480000] base_lr: 1.9449e-04 lr: 5.1906e-05 eta: 11 days, 15:51:08 time: 2.4979 data_time: 0.1332 memory: 26633 grad_norm: 1.0645 loss: 1.5627 grounding_loss_reg: 5.4774 detection_loss_cls: 0.1142 detection_loss_reg: 0.5861 caption_loss_cls: 3.0271 instance_segmentation_loss_cls: 0.0702 instance_segmentation_loss_reg: 0.2752 instance_segmentation_loss_poly: 0.9120 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:02:01 - mmengine - INFO - Iter(train) [ 51300/480000] base_lr: 1.9447e-04 lr: 5.1900e-05 eta: 11 days, 16:25:51 time: 2.5054 data_time: 0.1332 memory: 26633 grad_norm: 1.0640 loss: 1.5602 grounding_loss_reg: 5.4735 detection_loss_cls: 0.1144 detection_loss_reg: 0.5874 caption_loss_cls: 3.0271 instance_segmentation_loss_cls: 0.0704 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.9127 semantic_segmentation_loss_cls: 0.0186 2023/10/02 05:06:04 - mmengine - INFO - Iter(train) [ 51400/480000] base_lr: 1.9445e-04 lr: 5.1895e-05 eta: 11 days, 16:32:10 time: 2.5136 data_time: 0.1332 memory: 26633 grad_norm: 1.0611 loss: 1.5591 grounding_loss_reg: 5.4710 detection_loss_cls: 0.1146 detection_loss_reg: 0.5889 caption_loss_cls: 3.0253 instance_segmentation_loss_cls: 0.0704 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.9120 semantic_segmentation_loss_cls: 0.0186 2023/10/02 05:10:37 - mmengine - INFO - Iter(train) [ 51500/480000] base_lr: 1.9443e-04 lr: 5.1889e-05 eta: 11 days, 17:15:48 time: 2.5245 data_time: 0.1332 memory: 26633 grad_norm: 1.0559 loss: 1.5480 grounding_loss_reg: 5.4689 detection_loss_cls: 0.1147 detection_loss_reg: 0.5895 caption_loss_cls: 3.0251 instance_segmentation_loss_cls: 0.0704 instance_segmentation_loss_reg: 0.2754 instance_segmentation_loss_poly: 0.9101 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:10:37 - mmengine - INFO - Saving checkpoint at 51500 iterations 2023/10/02 05:15:59 - mmengine - INFO - Iter(train) [ 51600/480000] base_lr: 1.9441e-04 lr: 5.1884e-05 eta: 11 days, 19:01:03 time: 2.5373 data_time: 0.1337 memory: 26633 grad_norm: 1.0530 loss: 1.5373 grounding_loss_reg: 5.4669 detection_loss_cls: 0.1149 detection_loss_reg: 0.5902 caption_loss_cls: 3.0284 instance_segmentation_loss_cls: 0.0700 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.9098 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:20:00 - mmengine - INFO - Iter(train) [ 51700/480000] base_lr: 1.9439e-04 lr: 5.1878e-05 eta: 11 days, 19:01:05 time: 2.5414 data_time: 0.1337 memory: 26633 grad_norm: 1.0519 loss: 1.5344 grounding_loss_reg: 5.4641 detection_loss_cls: 0.1150 detection_loss_reg: 0.5890 caption_loss_cls: 3.0241 instance_segmentation_loss_cls: 0.0702 instance_segmentation_loss_reg: 0.2755 instance_segmentation_loss_poly: 0.9111 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:24:09 - mmengine - INFO - Iter(train) [ 51800/480000] base_lr: 1.9436e-04 lr: 5.1872e-05 eta: 11 days, 19:10:34 time: 2.5458 data_time: 0.1337 memory: 25793 grad_norm: 1.0524 loss: 1.5337 grounding_loss_reg: 5.4638 detection_loss_cls: 0.1149 detection_loss_reg: 0.5888 caption_loss_cls: 3.0162 instance_segmentation_loss_cls: 0.0700 instance_segmentation_loss_reg: 0.2754 instance_segmentation_loss_poly: 0.9111 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:28:37 - mmengine - INFO - Iter(train) [ 51900/480000] base_lr: 1.9434e-04 lr: 5.1867e-05 eta: 11 days, 19:43:39 time: 2.5523 data_time: 0.1337 memory: 25793 grad_norm: 1.0510 loss: 1.5290 grounding_loss_reg: 5.4622 detection_loss_cls: 0.1150 detection_loss_reg: 0.5890 caption_loss_cls: 3.0106 instance_segmentation_loss_cls: 0.0699 instance_segmentation_loss_reg: 0.2748 instance_segmentation_loss_poly: 0.9093 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:32:26 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_010813 2023/10/02 05:32:26 - mmengine - INFO - Iter(train) [ 52000/480000] base_lr: 1.9432e-04 lr: 5.1861e-05 eta: 11 days, 19:28:00 time: 2.5563 data_time: 0.1337 memory: 26633 grad_norm: 1.0528 loss: 1.5275 grounding_loss_reg: 5.4611 detection_loss_cls: 0.1149 detection_loss_reg: 0.5882 caption_loss_cls: 3.0071 instance_segmentation_loss_cls: 0.0698 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.9088 semantic_segmentation_loss_cls: 0.0185 2023/10/02 05:32:26 - mmengine - INFO - Saving checkpoint at 52000 iterations 2023/10/02 05:37:24 - mmengine - INFO - Iter(train) [ 52100/480000] base_lr: 1.9430e-04 lr: 5.1856e-05 eta: 11 days, 20:33:03 time: 2.5588 data_time: 0.1337 memory: 26633 grad_norm: 1.0515 loss: 1.5194 grounding_loss_reg: 5.4590 detection_loss_cls: 0.1152 detection_loss_reg: 0.5907 caption_loss_cls: 3.0048 instance_segmentation_loss_cls: 0.0697 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.9089 semantic_segmentation_loss_cls: 0.0184 2023/10/02 05:42:00 - mmengine - INFO - Iter(train) [ 52200/480000] base_lr: 1.9428e-04 lr: 5.1850e-05 eta: 11 days, 21:11:51 time: 2.5669 data_time: 0.1337 memory: 26633 grad_norm: 1.0469 loss: 1.5133 grounding_loss_reg: 5.4561 detection_loss_cls: 0.1152 detection_loss_reg: 0.5914 caption_loss_cls: 3.0074 instance_segmentation_loss_cls: 0.0695 instance_segmentation_loss_reg: 0.2738 instance_segmentation_loss_poly: 0.9071 semantic_segmentation_loss_cls: 0.0184 2023/10/02 05:46:24 - mmengine - INFO - Iter(train) [ 52300/480000] base_lr: 1.9426e-04 lr: 5.1844e-05 eta: 11 days, 21:35:13 time: 2.5752 data_time: 0.1337 memory: 26633 grad_norm: 1.0474 loss: 1.5169 grounding_loss_reg: 5.4547 detection_loss_cls: 0.1149 detection_loss_reg: 0.5898 caption_loss_cls: 3.0088 instance_segmentation_loss_cls: 0.0695 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.9071 semantic_segmentation_loss_cls: 0.0184 2023/10/02 05:50:12 - mmengine - INFO - Iter(train) [ 52400/480000] base_lr: 1.9423e-04 lr: 5.1839e-05 eta: 11 days, 21:17:15 time: 2.5771 data_time: 0.1337 memory: 26633 grad_norm: 1.0457 loss: 1.5182 grounding_loss_reg: 5.4530 detection_loss_cls: 0.1148 detection_loss_reg: 0.5898 caption_loss_cls: 3.0106 instance_segmentation_loss_cls: 0.0696 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.9086 semantic_segmentation_loss_cls: 0.0184 2023/10/02 05:54:51 - mmengine - INFO - Iter(train) [ 52500/480000] base_lr: 1.9421e-04 lr: 5.1833e-05 eta: 11 days, 21:55:37 time: 2.5859 data_time: 0.1337 memory: 25793 grad_norm: 1.0412 loss: 1.5141 grounding_loss_reg: 5.4513 detection_loss_cls: 0.1148 detection_loss_reg: 0.5902 caption_loss_cls: 3.0130 instance_segmentation_loss_cls: 0.0695 instance_segmentation_loss_reg: 0.2739 instance_segmentation_loss_poly: 0.9082 semantic_segmentation_loss_cls: 0.0184 2023/10/02 05:54:51 - mmengine - INFO - Saving checkpoint at 52500 iterations 2023/10/02 05:59:53 - mmengine - INFO - Iter(train) [ 52600/480000] base_lr: 1.9419e-04 lr: 5.1827e-05 eta: 11 days, 22:57:22 time: 2.5902 data_time: 0.1337 memory: 26633 grad_norm: 1.0439 loss: 1.5195 grounding_loss_reg: 5.4463 detection_loss_cls: 0.1148 detection_loss_reg: 0.5903 caption_loss_cls: 3.0136 instance_segmentation_loss_cls: 0.0696 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.9090 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:04:00 - mmengine - INFO - Iter(train) [ 52700/480000] base_lr: 1.9417e-04 lr: 5.1822e-05 eta: 11 days, 22:58:53 time: 2.5871 data_time: 0.1337 memory: 25793 grad_norm: 1.0386 loss: 1.5092 grounding_loss_reg: 5.4438 detection_loss_cls: 0.1146 detection_loss_reg: 0.5899 caption_loss_cls: 3.0170 instance_segmentation_loss_cls: 0.0689 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.9046 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:42:51 - mmengine - INFO - Iter(train) [ 52800/480000] base_lr: 1.9415e-04 lr: 5.1816e-05 eta: 7 days, 11:26:42 time: 2.5075 data_time: 0.1187 memory: 26634 grad_norm: 1.0382 loss: 1.5192 grounding_loss_reg: 5.4409 detection_loss_cls: 0.1144 detection_loss_reg: 0.5904 caption_loss_cls: 3.0210 instance_segmentation_loss_cls: 0.0688 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.9038 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:45:41 - mmengine - INFO - Iter(train) [ 52900/480000] base_lr: 1.9413e-04 lr: 5.1810e-05 eta: 7 days, 16:52:01 time: 2.4907 data_time: 0.1187 memory: 26634 grad_norm: 1.0400 loss: 1.5228 grounding_loss_reg: 5.4396 detection_loss_cls: 0.1143 detection_loss_reg: 0.5900 caption_loss_cls: 3.0198 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.9017 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:48:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 06:48:38 - mmengine - INFO - Iter(train) [ 53000/480000] base_lr: 1.9410e-04 lr: 5.1805e-05 eta: 7 days, 21:44:58 time: 2.4755 data_time: 0.1187 memory: 26634 grad_norm: 1.0389 loss: 1.5224 grounding_loss_reg: 5.4354 detection_loss_cls: 0.1144 detection_loss_reg: 0.5904 caption_loss_cls: 3.0260 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.9016 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:48:38 - mmengine - INFO - Saving checkpoint at 53000 iterations 2023/10/02 06:52:17 - mmengine - INFO - Iter(train) [ 53100/480000] base_lr: 1.9408e-04 lr: 5.1799e-05 eta: 8 days, 9:20:59 time: 2.4547 data_time: 0.1183 memory: 26634 grad_norm: 1.0385 loss: 1.5199 grounding_loss_reg: 5.4333 detection_loss_cls: 0.1147 detection_loss_reg: 0.5916 caption_loss_cls: 3.0254 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.9006 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:55:16 - mmengine - INFO - Iter(train) [ 53200/480000] base_lr: 1.9406e-04 lr: 5.1793e-05 eta: 8 days, 10:52:48 time: 2.4408 data_time: 0.1183 memory: 26634 grad_norm: 1.0338 loss: 1.5136 grounding_loss_reg: 5.4296 detection_loss_cls: 0.1148 detection_loss_reg: 0.5932 caption_loss_cls: 3.0278 instance_segmentation_loss_cls: 0.0683 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.8993 semantic_segmentation_loss_cls: 0.0184 2023/10/02 06:58:28 - mmengine - INFO - Iter(train) [ 53300/480000] base_lr: 1.9404e-04 lr: 5.1787e-05 eta: 8 days, 13:53:47 time: 2.4228 data_time: 0.1182 memory: 26634 grad_norm: 1.0346 loss: 1.5135 grounding_loss_reg: 5.4285 detection_loss_cls: 0.1156 detection_loss_reg: 0.5973 caption_loss_cls: 3.0237 instance_segmentation_loss_cls: 0.0685 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.8998 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:01:38 - mmengine - INFO - Iter(train) [ 53400/480000] base_lr: 1.9402e-04 lr: 5.1782e-05 eta: 8 days, 16:00:42 time: 2.4132 data_time: 0.1182 memory: 26634 grad_norm: 1.0339 loss: 1.5188 grounding_loss_reg: 5.4260 detection_loss_cls: 0.1157 detection_loss_reg: 0.5980 caption_loss_cls: 3.0291 instance_segmentation_loss_cls: 0.0683 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.8995 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:04:22 - mmengine - INFO - Iter(train) [ 53500/480000] base_lr: 1.9399e-04 lr: 5.1776e-05 eta: 8 days, 14:40:15 time: 2.3926 data_time: 0.1182 memory: 26634 grad_norm: 1.0365 loss: 1.5236 grounding_loss_reg: 5.4235 detection_loss_cls: 0.1153 detection_loss_reg: 0.5967 caption_loss_cls: 3.0212 instance_segmentation_loss_cls: 0.0685 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.8992 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:04:22 - mmengine - INFO - Saving checkpoint at 53500 iterations 2023/10/02 07:08:32 - mmengine - INFO - Iter(train) [ 53600/480000] base_lr: 1.9397e-04 lr: 5.1770e-05 eta: 8 days, 22:40:31 time: 2.3838 data_time: 0.1182 memory: 26634 grad_norm: 1.0314 loss: 1.5264 grounding_loss_reg: 5.4216 detection_loss_cls: 0.1158 detection_loss_reg: 0.5988 caption_loss_cls: 3.0231 instance_segmentation_loss_cls: 0.0682 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.8974 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:11:38 - mmengine - INFO - Iter(train) [ 53700/480000] base_lr: 1.9395e-04 lr: 5.1764e-05 eta: 8 days, 23:06:06 time: 2.3667 data_time: 0.1182 memory: 25793 grad_norm: 1.0351 loss: 1.5332 grounding_loss_reg: 5.4208 detection_loss_cls: 0.1154 detection_loss_reg: 0.5979 caption_loss_cls: 3.0270 instance_segmentation_loss_cls: 0.0680 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.8952 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:15:11 - mmengine - INFO - Iter(train) [ 53800/480000] base_lr: 1.9393e-04 lr: 5.1759e-05 eta: 9 days, 1:58:00 time: 2.3549 data_time: 0.1182 memory: 26634 grad_norm: 1.0329 loss: 1.5335 grounding_loss_reg: 5.4186 detection_loss_cls: 0.1154 detection_loss_reg: 0.5982 caption_loss_cls: 3.0258 instance_segmentation_loss_cls: 0.0683 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.8963 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:18:35 - mmengine - INFO - Iter(train) [ 53900/480000] base_lr: 1.9390e-04 lr: 5.1753e-05 eta: 9 days, 3:32:39 time: 2.3474 data_time: 0.1182 memory: 26634 grad_norm: 1.0318 loss: 1.5448 grounding_loss_reg: 5.4156 detection_loss_cls: 0.1155 detection_loss_reg: 0.5978 caption_loss_cls: 3.0259 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.8948 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:22:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 07:22:09 - mmengine - INFO - Iter(train) [ 54000/480000] base_lr: 1.9388e-04 lr: 5.1747e-05 eta: 9 days, 5:47:50 time: 2.3390 data_time: 0.1182 memory: 26634 grad_norm: 1.0326 loss: 1.5478 grounding_loss_reg: 5.4131 detection_loss_cls: 0.1157 detection_loss_reg: 0.5980 caption_loss_cls: 3.0241 instance_segmentation_loss_cls: 0.0682 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.8942 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:22:09 - mmengine - INFO - Saving checkpoint at 54000 iterations 2023/10/02 07:26:40 - mmengine - INFO - Iter(train) [ 54100/480000] base_lr: 1.9386e-04 lr: 5.1741e-05 eta: 9 days, 11:52:44 time: 2.3341 data_time: 0.1186 memory: 26634 grad_norm: 1.0284 loss: 1.5429 grounding_loss_reg: 5.4103 detection_loss_cls: 0.1155 detection_loss_reg: 0.5970 caption_loss_cls: 3.0217 instance_segmentation_loss_cls: 0.0683 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.8960 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:30:17 - mmengine - INFO - Iter(train) [ 54200/480000] base_lr: 1.9384e-04 lr: 5.1735e-05 eta: 9 days, 13:33:32 time: 2.3232 data_time: 0.1186 memory: 26634 grad_norm: 1.0323 loss: 1.5516 grounding_loss_reg: 5.4055 detection_loss_cls: 0.1155 detection_loss_reg: 0.5971 caption_loss_cls: 3.0213 instance_segmentation_loss_cls: 0.0685 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.8995 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:34:02 - mmengine - INFO - Iter(train) [ 54300/480000] base_lr: 1.9381e-04 lr: 5.1729e-05 eta: 9 days, 15:31:43 time: 2.3237 data_time: 0.1187 memory: 26634 grad_norm: 1.0286 loss: 1.5488 grounding_loss_reg: 5.4036 detection_loss_cls: 0.1159 detection_loss_reg: 0.5983 caption_loss_cls: 3.0247 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8994 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:38:02 - mmengine - INFO - Iter(train) [ 54400/480000] base_lr: 1.9379e-04 lr: 5.1724e-05 eta: 9 days, 18:12:35 time: 2.3238 data_time: 0.1187 memory: 26634 grad_norm: 1.0243 loss: 1.5429 grounding_loss_reg: 5.3996 detection_loss_cls: 0.1153 detection_loss_reg: 0.5958 caption_loss_cls: 3.0250 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8994 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:41:39 - mmengine - INFO - Iter(train) [ 54500/480000] base_lr: 1.9377e-04 lr: 5.1718e-05 eta: 9 days, 19:17:41 time: 2.3185 data_time: 0.1187 memory: 26634 grad_norm: 1.0213 loss: 1.5316 grounding_loss_reg: 5.3981 detection_loss_cls: 0.1152 detection_loss_reg: 0.5950 caption_loss_cls: 3.0189 instance_segmentation_loss_cls: 0.0687 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8999 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:41:39 - mmengine - INFO - Saving checkpoint at 54500 iterations 2023/10/02 07:46:14 - mmengine - INFO - Iter(train) [ 54600/480000] base_lr: 1.9375e-04 lr: 5.1712e-05 eta: 9 days, 23:29:07 time: 2.3108 data_time: 0.1185 memory: 26634 grad_norm: 1.0206 loss: 1.5344 grounding_loss_reg: 5.3972 detection_loss_cls: 0.1148 detection_loss_reg: 0.5931 caption_loss_cls: 3.0267 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.9001 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:50:10 - mmengine - INFO - Iter(train) [ 54700/480000] base_lr: 1.9372e-04 lr: 5.1706e-05 eta: 10 days, 1:12:02 time: 2.3046 data_time: 0.1186 memory: 26634 grad_norm: 1.0242 loss: 1.5429 grounding_loss_reg: 5.3931 detection_loss_cls: 0.1146 detection_loss_reg: 0.5918 caption_loss_cls: 3.0244 instance_segmentation_loss_cls: 0.0686 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.9025 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:53:50 - mmengine - INFO - Iter(train) [ 54800/480000] base_lr: 1.9370e-04 lr: 5.1700e-05 eta: 10 days, 1:58:37 time: 2.2903 data_time: 0.1185 memory: 25793 grad_norm: 1.0237 loss: 1.5401 grounding_loss_reg: 5.3914 detection_loss_cls: 0.1145 detection_loss_reg: 0.5920 caption_loss_cls: 3.0218 instance_segmentation_loss_cls: 0.0683 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.9016 semantic_segmentation_loss_cls: 0.0184 2023/10/02 07:57:26 - mmengine - INFO - Iter(train) [ 54900/480000] base_lr: 1.9368e-04 lr: 5.1694e-05 eta: 10 days, 2:28:42 time: 2.2895 data_time: 0.1186 memory: 25793 grad_norm: 1.0273 loss: 1.5442 grounding_loss_reg: 5.3886 detection_loss_cls: 0.1149 detection_loss_reg: 0.5936 caption_loss_cls: 3.0102 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.9008 semantic_segmentation_loss_cls: 0.0184 2023/10/02 08:01:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 08:01:27 - mmengine - INFO - Iter(train) [ 55000/480000] base_lr: 1.9365e-04 lr: 5.1688e-05 eta: 10 days, 4:05:38 time: 2.2960 data_time: 0.1186 memory: 25793 grad_norm: 1.0232 loss: 1.5460 grounding_loss_reg: 5.3886 detection_loss_cls: 0.1157 detection_loss_reg: 0.5956 caption_loss_cls: 3.0087 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.9011 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:01:27 - mmengine - INFO - Saving checkpoint at 55000 iterations 2023/10/02 08:06:15 - mmengine - INFO - Iter(train) [ 55100/480000] base_lr: 1.9363e-04 lr: 5.1682e-05 eta: 10 days, 7:44:21 time: 2.2875 data_time: 0.1185 memory: 26634 grad_norm: 1.0258 loss: 1.5490 grounding_loss_reg: 5.3876 detection_loss_cls: 0.1155 detection_loss_reg: 0.5948 caption_loss_cls: 2.9990 instance_segmentation_loss_cls: 0.0680 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.8996 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:10:43 - mmengine - INFO - Iter(train) [ 55200/480000] base_lr: 1.9361e-04 lr: 5.1676e-05 eta: 10 days, 10:11:18 time: 2.2895 data_time: 0.1185 memory: 26634 grad_norm: 1.0232 loss: 1.5472 grounding_loss_reg: 5.3858 detection_loss_cls: 0.1155 detection_loss_reg: 0.5932 caption_loss_cls: 2.9990 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.9002 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:14:34 - mmengine - INFO - Iter(train) [ 55300/480000] base_lr: 1.9359e-04 lr: 5.1671e-05 eta: 10 days, 10:57:29 time: 2.2815 data_time: 0.1184 memory: 26634 grad_norm: 1.0297 loss: 1.5542 grounding_loss_reg: 5.3819 detection_loss_cls: 0.1155 detection_loss_reg: 0.5928 caption_loss_cls: 3.0004 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.8994 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:18:27 - mmengine - INFO - Iter(train) [ 55400/480000] base_lr: 1.9356e-04 lr: 5.1665e-05 eta: 10 days, 11:42:58 time: 2.2789 data_time: 0.1184 memory: 26634 grad_norm: 1.0268 loss: 1.5516 grounding_loss_reg: 5.3792 detection_loss_cls: 0.1152 detection_loss_reg: 0.5929 caption_loss_cls: 3.0042 instance_segmentation_loss_cls: 0.0682 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.8978 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:22:35 - mmengine - INFO - Iter(train) [ 55500/480000] base_lr: 1.9354e-04 lr: 5.1659e-05 eta: 10 days, 13:00:57 time: 2.2728 data_time: 0.1184 memory: 26634 grad_norm: 1.0316 loss: 1.5611 grounding_loss_reg: 5.3766 detection_loss_cls: 0.1151 detection_loss_reg: 0.5927 caption_loss_cls: 3.0035 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.8983 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:22:35 - mmengine - INFO - Saving checkpoint at 55500 iterations 2023/10/02 08:27:44 - mmengine - INFO - Iter(train) [ 55600/480000] base_lr: 1.9352e-04 lr: 5.1653e-05 eta: 10 days, 16:32:30 time: 2.2696 data_time: 0.1181 memory: 26634 grad_norm: 1.0382 loss: 1.5679 grounding_loss_reg: 5.3719 detection_loss_cls: 0.1149 detection_loss_reg: 0.5915 caption_loss_cls: 3.0003 instance_segmentation_loss_cls: 0.0682 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8985 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:31:37 - mmengine - INFO - Iter(train) [ 55700/480000] base_lr: 1.9349e-04 lr: 5.1647e-05 eta: 10 days, 17:02:56 time: 2.2676 data_time: 0.1181 memory: 26634 grad_norm: 1.0395 loss: 1.5650 grounding_loss_reg: 5.3706 detection_loss_cls: 0.1148 detection_loss_reg: 0.5913 caption_loss_cls: 3.0005 instance_segmentation_loss_cls: 0.0684 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.9003 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:35:56 - mmengine - INFO - Iter(train) [ 55800/480000] base_lr: 1.9347e-04 lr: 5.1641e-05 eta: 10 days, 18:25:55 time: 2.2700 data_time: 0.1182 memory: 26634 grad_norm: 1.0399 loss: 1.5660 grounding_loss_reg: 5.3682 detection_loss_cls: 0.1144 detection_loss_reg: 0.5903 caption_loss_cls: 3.0000 instance_segmentation_loss_cls: 0.0685 instance_segmentation_loss_reg: 0.2740 instance_segmentation_loss_poly: 0.9014 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:39:41 - mmengine - INFO - Iter(train) [ 55900/480000] base_lr: 1.9345e-04 lr: 5.1635e-05 eta: 10 days, 18:33:54 time: 2.2590 data_time: 0.1182 memory: 26634 grad_norm: 1.0427 loss: 1.5674 grounding_loss_reg: 5.3664 detection_loss_cls: 0.1145 detection_loss_reg: 0.5898 caption_loss_cls: 2.9986 instance_segmentation_loss_cls: 0.0684 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.9002 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:43:47 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 08:43:47 - mmengine - INFO - Iter(train) [ 56000/480000] base_lr: 1.9342e-04 lr: 5.1629e-05 eta: 10 days, 19:25:19 time: 2.2635 data_time: 0.1182 memory: 26634 grad_norm: 1.0411 loss: 1.5668 grounding_loss_reg: 5.3637 detection_loss_cls: 0.1144 detection_loss_reg: 0.5889 caption_loss_cls: 2.9976 instance_segmentation_loss_cls: 0.0685 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.8992 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:43:47 - mmengine - INFO - Saving checkpoint at 56000 iterations 2023/10/02 08:48:29 - mmengine - INFO - Iter(train) [ 56100/480000] base_lr: 1.9340e-04 lr: 5.1623e-05 eta: 10 days, 21:21:32 time: 2.2595 data_time: 0.1186 memory: 26634 grad_norm: 1.0476 loss: 1.5820 grounding_loss_reg: 5.3611 detection_loss_cls: 0.1141 detection_loss_reg: 0.5886 caption_loss_cls: 2.9982 instance_segmentation_loss_cls: 0.0685 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.8990 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:52:53 - mmengine - INFO - Iter(train) [ 56200/480000] base_lr: 1.9338e-04 lr: 5.1617e-05 eta: 10 days, 22:38:26 time: 2.2564 data_time: 0.1186 memory: 26634 grad_norm: 1.0468 loss: 1.5776 grounding_loss_reg: 5.3605 detection_loss_cls: 0.1139 detection_loss_reg: 0.5875 caption_loss_cls: 2.9959 instance_segmentation_loss_cls: 0.0682 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8977 semantic_segmentation_loss_cls: 0.0183 2023/10/02 08:57:18 - mmengine - INFO - Iter(train) [ 56300/480000] base_lr: 1.9335e-04 lr: 5.1611e-05 eta: 10 days, 23:53:05 time: 2.2567 data_time: 0.1186 memory: 26634 grad_norm: 1.0455 loss: 1.5749 grounding_loss_reg: 5.3595 detection_loss_cls: 0.1136 detection_loss_reg: 0.5860 caption_loss_cls: 2.9949 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8975 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:01:06 - mmengine - INFO - Iter(train) [ 56400/480000] base_lr: 1.9333e-04 lr: 5.1604e-05 eta: 10 days, 23:55:41 time: 2.2567 data_time: 0.1186 memory: 26634 grad_norm: 1.0452 loss: 1.5740 grounding_loss_reg: 5.3579 detection_loss_cls: 0.1138 detection_loss_reg: 0.5873 caption_loss_cls: 3.0002 instance_segmentation_loss_cls: 0.0680 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.8967 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:05:17 - mmengine - INFO - Iter(train) [ 56500/480000] base_lr: 1.9331e-04 lr: 5.1598e-05 eta: 11 days, 0:38:46 time: 2.2496 data_time: 0.1186 memory: 26634 grad_norm: 1.0509 loss: 1.5779 grounding_loss_reg: 5.3566 detection_loss_cls: 0.1140 detection_loss_reg: 0.5887 caption_loss_cls: 2.9990 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.8947 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:05:17 - mmengine - INFO - Saving checkpoint at 56500 iterations 2023/10/02 09:10:09 - mmengine - INFO - Iter(train) [ 56600/480000] base_lr: 1.9328e-04 lr: 5.1592e-05 eta: 11 days, 2:31:11 time: 2.2851 data_time: 0.1336 memory: 26634 grad_norm: 1.0483 loss: 1.5702 grounding_loss_reg: 5.3539 detection_loss_cls: 0.1138 detection_loss_reg: 0.5872 caption_loss_cls: 2.9970 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8948 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:14:33 - mmengine - INFO - Iter(train) [ 56700/480000] base_lr: 1.9326e-04 lr: 5.1586e-05 eta: 11 days, 3:29:39 time: 2.3148 data_time: 0.1336 memory: 26634 grad_norm: 1.0474 loss: 1.5603 grounding_loss_reg: 5.3530 detection_loss_cls: 0.1136 detection_loss_reg: 0.5861 caption_loss_cls: 2.9877 instance_segmentation_loss_cls: 0.0677 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:18:20 - mmengine - INFO - Iter(train) [ 56800/480000] base_lr: 1.9324e-04 lr: 5.1580e-05 eta: 11 days, 3:24:09 time: 2.3319 data_time: 0.1336 memory: 25793 grad_norm: 1.0475 loss: 1.5582 grounding_loss_reg: 5.3520 detection_loss_cls: 0.1137 detection_loss_reg: 0.5861 caption_loss_cls: 2.9831 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.8910 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:22:19 - mmengine - INFO - Iter(train) [ 56900/480000] base_lr: 1.9321e-04 lr: 5.1574e-05 eta: 11 days, 3:40:14 time: 2.3494 data_time: 0.1336 memory: 26634 grad_norm: 1.0473 loss: 1.5632 grounding_loss_reg: 5.3495 detection_loss_cls: 0.1135 detection_loss_reg: 0.5844 caption_loss_cls: 2.9879 instance_segmentation_loss_cls: 0.0679 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.8937 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:26:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 09:26:03 - mmengine - INFO - Iter(train) [ 57000/480000] base_lr: 1.9319e-04 lr: 5.1568e-05 eta: 11 days, 3:29:53 time: 2.3612 data_time: 0.1336 memory: 26634 grad_norm: 1.0495 loss: 1.5650 grounding_loss_reg: 5.3445 detection_loss_cls: 0.1132 detection_loss_reg: 0.5846 caption_loss_cls: 2.9868 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.8950 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:26:03 - mmengine - INFO - Saving checkpoint at 57000 iterations 2023/10/02 09:31:17 - mmengine - INFO - Iter(train) [ 57100/480000] base_lr: 1.9317e-04 lr: 5.1562e-05 eta: 11 days, 5:38:50 time: 2.3850 data_time: 0.1335 memory: 26634 grad_norm: 1.0469 loss: 1.5631 grounding_loss_reg: 5.3439 detection_loss_cls: 0.1132 detection_loss_reg: 0.5845 caption_loss_cls: 2.9831 instance_segmentation_loss_cls: 0.0679 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8950 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:35:33 - mmengine - INFO - Iter(train) [ 57200/480000] base_lr: 1.9314e-04 lr: 5.1556e-05 eta: 11 days, 6:14:24 time: 2.4042 data_time: 0.1335 memory: 26634 grad_norm: 1.0467 loss: 1.5661 grounding_loss_reg: 5.3427 detection_loss_cls: 0.1134 detection_loss_reg: 0.5849 caption_loss_cls: 2.9845 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.8929 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:40:06 - mmengine - INFO - Iter(train) [ 57300/480000] base_lr: 1.9312e-04 lr: 5.1549e-05 eta: 11 days, 7:12:58 time: 2.4244 data_time: 0.1336 memory: 26634 grad_norm: 1.0476 loss: 1.5662 grounding_loss_reg: 5.3411 detection_loss_cls: 0.1134 detection_loss_reg: 0.5860 caption_loss_cls: 2.9841 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0183 2023/10/02 09:43:47 - mmengine - INFO - Iter(train) [ 57400/480000] base_lr: 1.9310e-04 lr: 5.1543e-05 eta: 11 days, 6:55:21 time: 2.4322 data_time: 0.1335 memory: 25793 grad_norm: 1.0487 loss: 1.5601 grounding_loss_reg: 5.3386 detection_loss_cls: 0.1130 detection_loss_reg: 0.5847 caption_loss_cls: 2.9825 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.8924 semantic_segmentation_loss_cls: 0.0182 2023/10/02 09:47:18 - mmengine - INFO - Iter(train) [ 57500/480000] base_lr: 1.9307e-04 lr: 5.1537e-05 eta: 11 days, 6:23:22 time: 2.4438 data_time: 0.1335 memory: 26634 grad_norm: 1.0488 loss: 1.5639 grounding_loss_reg: 5.3381 detection_loss_cls: 0.1133 detection_loss_reg: 0.5858 caption_loss_cls: 2.9765 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.8934 semantic_segmentation_loss_cls: 0.0182 2023/10/02 09:47:18 - mmengine - INFO - Saving checkpoint at 57500 iterations 2023/10/02 09:52:40 - mmengine - INFO - Iter(train) [ 57600/480000] base_lr: 1.9305e-04 lr: 5.1531e-05 eta: 11 days, 8:25:17 time: 2.4618 data_time: 0.1334 memory: 26634 grad_norm: 1.0471 loss: 1.5596 grounding_loss_reg: 5.3371 detection_loss_cls: 0.1132 detection_loss_reg: 0.5861 caption_loss_cls: 2.9705 instance_segmentation_loss_cls: 0.0679 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.8971 semantic_segmentation_loss_cls: 0.0182 2023/10/02 09:56:57 - mmengine - INFO - Iter(train) [ 57700/480000] base_lr: 1.9302e-04 lr: 5.1525e-05 eta: 11 days, 8:55:39 time: 2.4797 data_time: 0.1335 memory: 26634 grad_norm: 1.0486 loss: 1.5595 grounding_loss_reg: 5.3347 detection_loss_cls: 0.1131 detection_loss_reg: 0.5858 caption_loss_cls: 2.9691 instance_segmentation_loss_cls: 0.0680 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.8989 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:01:13 - mmengine - INFO - Iter(train) [ 57800/480000] base_lr: 1.9300e-04 lr: 5.1519e-05 eta: 11 days, 9:23:21 time: 2.4904 data_time: 0.1335 memory: 26634 grad_norm: 1.0489 loss: 1.5563 grounding_loss_reg: 5.3319 detection_loss_cls: 0.1131 detection_loss_reg: 0.5851 caption_loss_cls: 2.9722 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.8984 semantic_segmentation_loss_cls: 0.0182 2023/10/02 10:05:11 - mmengine - INFO - Iter(train) [ 57900/480000] base_lr: 1.9298e-04 lr: 5.1512e-05 eta: 11 days, 9:25:00 time: 2.4989 data_time: 0.1335 memory: 26634 grad_norm: 1.0484 loss: 1.5557 grounding_loss_reg: 5.3300 detection_loss_cls: 0.1126 detection_loss_reg: 0.5832 caption_loss_cls: 2.9751 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.8988 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:09:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 10:09:54 - mmengine - INFO - Iter(train) [ 58000/480000] base_lr: 1.9295e-04 lr: 5.1506e-05 eta: 11 days, 10:25:33 time: 2.5161 data_time: 0.1335 memory: 26634 grad_norm: 1.0436 loss: 1.5501 grounding_loss_reg: 5.3278 detection_loss_cls: 0.1123 detection_loss_reg: 0.5816 caption_loss_cls: 2.9754 instance_segmentation_loss_cls: 0.0681 instance_segmentation_loss_reg: 0.2748 instance_segmentation_loss_poly: 0.9000 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:09:54 - mmengine - INFO - Saving checkpoint at 58000 iterations 2023/10/02 10:15:19 - mmengine - INFO - Iter(train) [ 58100/480000] base_lr: 1.9293e-04 lr: 5.1500e-05 eta: 11 days, 12:15:34 time: 2.5297 data_time: 0.1333 memory: 26634 grad_norm: 1.0406 loss: 1.5421 grounding_loss_reg: 5.3245 detection_loss_cls: 0.1124 detection_loss_reg: 0.5820 caption_loss_cls: 2.9703 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8967 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:19:25 - mmengine - INFO - Iter(train) [ 58200/480000] base_lr: 1.9290e-04 lr: 5.1494e-05 eta: 11 days, 12:23:47 time: 2.5367 data_time: 0.1332 memory: 26634 grad_norm: 1.0393 loss: 1.5291 grounding_loss_reg: 5.3216 detection_loss_cls: 0.1122 detection_loss_reg: 0.5797 caption_loss_cls: 2.9626 instance_segmentation_loss_cls: 0.0677 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8953 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:23:40 - mmengine - INFO - Iter(train) [ 58300/480000] base_lr: 1.9288e-04 lr: 5.1487e-05 eta: 11 days, 12:42:54 time: 2.5442 data_time: 0.1332 memory: 25793 grad_norm: 1.0399 loss: 1.5281 grounding_loss_reg: 5.3195 detection_loss_cls: 0.1123 detection_loss_reg: 0.5801 caption_loss_cls: 2.9632 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2722 instance_segmentation_loss_poly: 0.8956 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:27:59 - mmengine - INFO - Iter(train) [ 58400/480000] base_lr: 1.9286e-04 lr: 5.1481e-05 eta: 11 days, 13:06:10 time: 2.5491 data_time: 0.1332 memory: 25793 grad_norm: 1.0384 loss: 1.5269 grounding_loss_reg: 5.3167 detection_loss_cls: 0.1125 detection_loss_reg: 0.5811 caption_loss_cls: 2.9560 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8978 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:31:42 - mmengine - INFO - Iter(train) [ 58500/480000] base_lr: 1.9283e-04 lr: 5.1475e-05 eta: 11 days, 12:46:44 time: 2.5506 data_time: 0.1332 memory: 26634 grad_norm: 1.0396 loss: 1.5380 grounding_loss_reg: 5.3158 detection_loss_cls: 0.1122 detection_loss_reg: 0.5804 caption_loss_cls: 2.9599 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2739 instance_segmentation_loss_poly: 0.9001 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:31:42 - mmengine - INFO - Saving checkpoint at 58500 iterations 2023/10/02 10:36:37 - mmengine - INFO - Iter(train) [ 58600/480000] base_lr: 1.9281e-04 lr: 5.1469e-05 eta: 11 days, 13:49:53 time: 2.5556 data_time: 0.1335 memory: 26634 grad_norm: 1.0394 loss: 1.5355 grounding_loss_reg: 5.3141 detection_loss_cls: 0.1126 detection_loss_reg: 0.5817 caption_loss_cls: 2.9570 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.8980 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:41:10 - mmengine - INFO - Iter(train) [ 58700/480000] base_lr: 1.9278e-04 lr: 5.1462e-05 eta: 11 days, 14:26:42 time: 2.5650 data_time: 0.1335 memory: 26634 grad_norm: 1.0341 loss: 1.5305 grounding_loss_reg: 5.3150 detection_loss_cls: 0.1122 detection_loss_reg: 0.5789 caption_loss_cls: 2.9583 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.8962 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:45:30 - mmengine - INFO - Iter(train) [ 58800/480000] base_lr: 1.9276e-04 lr: 5.1456e-05 eta: 11 days, 14:47:15 time: 2.5749 data_time: 0.1335 memory: 26634 grad_norm: 1.0347 loss: 1.5370 grounding_loss_reg: 5.3141 detection_loss_cls: 0.1123 detection_loss_reg: 0.5787 caption_loss_cls: 2.9588 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.8957 semantic_segmentation_loss_cls: 0.0180 2023/10/02 10:49:13 - mmengine - INFO - Iter(train) [ 58900/480000] base_lr: 1.9273e-04 lr: 5.1450e-05 eta: 11 days, 14:26:09 time: 2.5765 data_time: 0.1335 memory: 26634 grad_norm: 1.0329 loss: 1.5414 grounding_loss_reg: 5.3126 detection_loss_cls: 0.1123 detection_loss_reg: 0.5796 caption_loss_cls: 2.9628 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.8979 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:53:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_060913 2023/10/02 10:53:50 - mmengine - INFO - Iter(train) [ 59000/480000] base_lr: 1.9271e-04 lr: 5.1443e-05 eta: 11 days, 15:04:15 time: 2.5856 data_time: 0.1336 memory: 25793 grad_norm: 1.0298 loss: 1.5392 grounding_loss_reg: 5.3119 detection_loss_cls: 0.1121 detection_loss_reg: 0.5792 caption_loss_cls: 2.9656 instance_segmentation_loss_cls: 0.0679 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.8986 semantic_segmentation_loss_cls: 0.0181 2023/10/02 10:53:50 - mmengine - INFO - Saving checkpoint at 59000 iterations 2023/10/02 10:58:47 - mmengine - INFO - Iter(train) [ 59100/480000] base_lr: 1.9269e-04 lr: 5.1437e-05 eta: 11 days, 16:02:17 time: 2.5877 data_time: 0.1335 memory: 26634 grad_norm: 1.0326 loss: 1.5437 grounding_loss_reg: 5.3066 detection_loss_cls: 0.1124 detection_loss_reg: 0.5809 caption_loss_cls: 2.9649 instance_segmentation_loss_cls: 0.0679 instance_segmentation_loss_reg: 0.2738 instance_segmentation_loss_poly: 0.8992 semantic_segmentation_loss_cls: 0.0181 2023/10/02 11:02:48 - mmengine - INFO - Iter(train) [ 59200/480000] base_lr: 1.9266e-04 lr: 5.1431e-05 eta: 11 days, 15:59:58 time: 2.5812 data_time: 0.1334 memory: 25793 grad_norm: 1.0298 loss: 1.5384 grounding_loss_reg: 5.3035 detection_loss_cls: 0.1127 detection_loss_reg: 0.5817 caption_loss_cls: 2.9670 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.2738 instance_segmentation_loss_poly: 0.8997 semantic_segmentation_loss_cls: 0.0180 2023/10/02 11:06:40 - mmengine - INFO - Iter(train) [ 59300/480000] base_lr: 1.9264e-04 lr: 5.1424e-05 eta: 11 days, 15:48:08 time: 2.5813 data_time: 0.1334 memory: 25793 grad_norm: 1.0252 loss: 1.5281 grounding_loss_reg: 5.3013 detection_loss_cls: 0.1125 detection_loss_reg: 0.5814 caption_loss_cls: 2.9680 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.8985 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:12:48 - mmengine - INFO - Iter(train) [ 59400/480000] base_lr: 1.9261e-04 lr: 5.1418e-05 eta: 7 days, 20:37:00 time: 2.4920 data_time: 0.1185 memory: 26557 grad_norm: 1.0337 loss: 1.5418 grounding_loss_reg: 5.2970 detection_loss_cls: 0.1120 detection_loss_reg: 0.5802 caption_loss_cls: 2.9745 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.8926 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:15:50 - mmengine - INFO - Iter(train) [ 59500/480000] base_lr: 1.9259e-04 lr: 5.1412e-05 eta: 8 days, 1:30:55 time: 2.4756 data_time: 0.1185 memory: 26557 grad_norm: 1.0323 loss: 1.5359 grounding_loss_reg: 5.2941 detection_loss_cls: 0.1120 detection_loss_reg: 0.5800 caption_loss_cls: 2.9788 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.8901 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:15:50 - mmengine - INFO - Saving checkpoint at 59500 iterations 2023/10/02 12:19:38 - mmengine - INFO - Iter(train) [ 59600/480000] base_lr: 1.9256e-04 lr: 5.1405e-05 eta: 8 days, 13:32:42 time: 2.4553 data_time: 0.1186 memory: 26557 grad_norm: 1.0306 loss: 1.5361 grounding_loss_reg: 5.2929 detection_loss_cls: 0.1119 detection_loss_reg: 0.5786 caption_loss_cls: 2.9787 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.8900 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:22:41 - mmengine - INFO - Iter(train) [ 59700/480000] base_lr: 1.9254e-04 lr: 5.1399e-05 eta: 8 days, 14:36:07 time: 2.4428 data_time: 0.1186 memory: 26557 grad_norm: 1.0251 loss: 1.5258 grounding_loss_reg: 5.2904 detection_loss_cls: 0.1117 detection_loss_reg: 0.5769 caption_loss_cls: 2.9772 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.8891 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:25:49 - mmengine - INFO - Iter(train) [ 59800/480000] base_lr: 1.9251e-04 lr: 5.1392e-05 eta: 8 days, 16:15:24 time: 2.4253 data_time: 0.1186 memory: 26557 grad_norm: 1.0250 loss: 1.5318 grounding_loss_reg: 5.2896 detection_loss_cls: 0.1112 detection_loss_reg: 0.5741 caption_loss_cls: 2.9808 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.8894 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:29:02 - mmengine - INFO - Iter(train) [ 59900/480000] base_lr: 1.9249e-04 lr: 5.1386e-05 eta: 8 days, 18:06:11 time: 2.4173 data_time: 0.1186 memory: 26557 grad_norm: 1.0254 loss: 1.5362 grounding_loss_reg: 5.2849 detection_loss_cls: 0.1111 detection_loss_reg: 0.5737 caption_loss_cls: 2.9791 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:32:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_113552 2023/10/02 12:32:13 - mmengine - INFO - Iter(train) [ 60000/480000] base_lr: 1.9246e-04 lr: 5.1380e-05 eta: 8 days, 19:19:02 time: 2.4033 data_time: 0.1186 memory: 26557 grad_norm: 1.0281 loss: 1.5419 grounding_loss_reg: 5.2833 detection_loss_cls: 0.1106 detection_loss_reg: 0.5713 caption_loss_cls: 2.9791 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:32:13 - mmengine - INFO - Saving checkpoint at 60000 iterations 2023/10/02 12:37:59 - mmengine - INFO - Evaluating bbox... 2023/10/02 12:39:07 - mmengine - INFO - bbox_mAP_copypaste: 0.155 0.226 0.174 0.076 0.204 0.215 2023/10/02 12:39:07 - mmengine - INFO - Evaluating segm... 2023/10/02 12:40:24 - mmengine - INFO - segm_mAP_copypaste: 0.097 0.188 0.092 0.038 0.138 0.163 2023/10/02 12:41:52 - mmengine - INFO - Evaluating bbox... 2023/10/02 12:43:03 - mmengine - INFO - bbox_mAP_copypaste: 0.155 0.228 0.175 0.075 0.203 0.218 2023/10/02 12:46:30 - mmengine - INFO - per class results: 2023/10/02 12:46:30 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 70.05 | 85.92 | | building | 71.35 | 76.79 | | sky | 90.52 | 96.96 | | floor | 73.57 | 92.46 | | tree | 66.99 | 90.01 | | ceiling | 78.82 | 89.77 | | road | 76.68 | 86.18 | | bed | 78.99 | 89.82 | | windowpane | 48.55 | 80.68 | | grass | 55.56 | 66.29 | | cabinet | 53.97 | 68.94 | | sidewalk | 57.32 | 74.55 | | person | 73.81 | 94.6 | | earth | 33.24 | 44.65 | | door | 30.9 | 41.37 | | table | 27.65 | 31.5 | | mountain | 47.11 | 63.06 | | plant | 32.79 | 37.15 | | curtain | 59.71 | 67.05 | | chair | 42.77 | 72.41 | | car | 76.03 | 94.12 | | water | 52.5 | 75.51 | | painting | 61.27 | 70.09 | | sofa | 14.95 | 15.35 | | shelf | 29.11 | 38.69 | | house | 33.28 | 68.79 | | sea | 40.75 | 51.46 | | mirror | 45.78 | 58.91 | | rug | 46.3 | 49.4 | | field | 22.61 | 63.39 | | armchair | 24.27 | 59.17 | | seat | 48.36 | 59.1 | | fence | 28.84 | 58.4 | | desk | 21.14 | 41.71 | | rock | 36.75 | 73.91 | | wardrobe | 31.45 | 37.68 | | lamp | 43.25 | 51.81 | | bathtub | 44.16 | 45.86 | | railing | 25.16 | 61.74 | | cushion | 40.21 | 75.27 | | base | 8.29 | 9.23 | | box | 19.08 | 25.69 | | column | 31.15 | 46.96 | | signboard | 27.97 | 33.15 | | chest of drawers | 7.32 | 7.8 | | counter | 13.44 | 24.73 | | sand | 32.05 | 49.35 | | sink | 48.08 | 68.29 | | skyscraper | 15.16 | 16.08 | | fireplace | 53.17 | 58.36 | | refrigerator | 44.03 | 57.26 | | grandstand | 44.2 | 53.51 | | path | 20.6 | 39.99 | | stairs | 37.14 | 54.56 | | runway | 45.71 | 47.47 | | case | 38.51 | 45.94 | | pool table | 71.2 | 74.23 | | pillow | 0.14 | 0.14 | | screen door | 0.17 | 0.17 | | stairway | 27.57 | 49.22 | | river | 0.81 | 0.82 | | bridge | 29.27 | 87.27 | | bookcase | 1.88 | 1.89 | | blind | 0.0 | 0.0 | | coffee table | 18.34 | 69.68 | | toilet | 74.07 | 81.41 | | flower | 18.9 | 43.87 | | book | 36.71 | 63.96 | | hill | 4.89 | 6.49 | | bench | 29.95 | 44.41 | | countertop | 13.67 | 15.36 | | stove | 25.42 | 27.33 | | palm | 28.83 | 37.28 | | kitchen island | 1.56 | 1.65 | | computer | 50.12 | 68.44 | | swivel chair | 0.02 | 0.02 | | boat | 57.01 | 91.76 | | bar | 8.79 | 9.89 | | arcade machine | 0.08 | 0.08 | | hovel | 0.0 | 0.0 | | bus | 62.29 | 97.11 | | towel | 46.27 | 56.42 | | light | 14.49 | 35.97 | | truck | 20.42 | 27.46 | | tower | 19.2 | 30.67 | | chandelier | 8.51 | 8.73 | | awning | 0.18 | 0.21 | | streetlight | 10.41 | 13.0 | | booth | 25.11 | 27.09 | | television receiver | 49.43 | 69.04 | | airplane | 51.57 | 57.18 | | dirt track | 0.0 | 0.0 | | apparel | 4.93 | 7.28 | | pole | 17.24 | 38.99 | | land | 0.0 | 0.0 | | bannister | 0.02 | 0.02 | | escalator | 0.0 | 0.0 | | ottoman | 0.74 | 0.75 | | bottle | 19.94 | 26.3 | | buffet | 0.0 | 0.0 | | poster | 5.19 | 9.99 | | stage | 3.16 | 6.0 | | van | 0.0 | 0.0 | | ship | 3.55 | 3.74 | | fountain | 9.78 | 11.79 | | conveyer belt | 21.45 | 22.42 | | canopy | 0.06 | 0.06 | | washer | 19.98 | 19.98 | | plaything | 12.36 | 13.81 | | swimming pool | 19.05 | 39.76 | | stool | 4.66 | 4.83 | | barrel | 5.03 | 21.5 | | basket | 11.04 | 16.84 | | waterfall | 54.2 | 69.4 | | tent | 47.39 | 96.11 | | bag | 7.26 | 8.13 | | minibike | 63.48 | 80.5 | | cradle | 37.79 | 94.3 | | oven | 8.97 | 55.53 | | ball | 38.84 | 62.04 | | food | 33.17 | 35.16 | | step | 1.4 | 1.69 | | tank | 0.0 | 0.0 | | trade name | 18.99 | 28.71 | | microwave | 73.94 | 88.65 | | pot | 4.46 | 4.56 | | animal | 39.23 | 40.42 | | bicycle | 53.37 | 81.44 | | lake | 0.0 | 0.0 | | dishwasher | 0.0 | 0.0 | | screen | 42.87 | 46.91 | | blanket | 0.0 | 0.0 | | sculpture | 13.34 | 14.41 | | hood | 7.92 | 8.12 | | sconce | 0.0 | 0.0 | | vase | 19.9 | 49.74 | | traffic light | 21.76 | 28.07 | | tray | 0.21 | 0.23 | | ashcan | 20.11 | 25.61 | | fan | 9.26 | 9.37 | | pier | 33.83 | 55.21 | | crt screen | 0.0 | 0.0 | | plate | 27.4 | 37.12 | | monitor | 25.38 | 37.41 | | bulletin board | 0.0 | 0.0 | | shower | 0.34 | 0.41 | | radiator | 0.0 | 0.0 | | glass | 5.02 | 5.16 | | clock | 14.19 | 15.43 | | flag | 58.34 | 65.69 | +---------------------+-------+-------+ 2023/10/02 12:46:57 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.1550 coco/bbox_mAP_50: 0.2280 coco/bbox_mAP_75: 0.1750 coco/bbox_mAP_s: 0.0750 coco/bbox_mAP_m: 0.2030 coco/bbox_mAP_l: 0.2180 coco/segm_mAP: 0.0970 coco/segm_mAP_50: 0.1880 coco/segm_mAP_75: 0.0920 coco/segm_mAP_s: 0.0380 coco/segm_mAP_m: 0.1380 coco/segm_mAP_l: 0.1630 Bleu_1: 0.6261 Bleu_2: 0.4411 Bleu_3: 0.3062 Bleu_4: 0.2097 METEOR: 0.2068 ROUGE_L: 0.4647 CIDEr: 0.6659 SPICE: 0.1495 aAcc: 74.6800 mIoU: 27.8000 mAcc: 38.8400 visual-grounding/miou: 0.5122 visual-grounding/acc: 0.5808 data_time: 0.0017 time: 0.2389 2023/10/02 12:50:38 - mmengine - INFO - Iter(train) [ 60100/480000] base_lr: 1.9244e-04 lr: 5.1373e-05 eta: 8 days, 23:53:12 time: 2.3892 data_time: 0.1038 memory: 27838 grad_norm: 1.0231 loss: 1.5342 grounding_loss_reg: 5.2796 detection_loss_cls: 0.1106 detection_loss_reg: 0.5704 caption_loss_cls: 2.9810 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.8936 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:54:01 - mmengine - INFO - Iter(train) [ 60200/480000] base_lr: 1.9241e-04 lr: 5.1367e-05 eta: 9 days, 1:34:15 time: 2.3739 data_time: 0.1038 memory: 25718 grad_norm: 1.0275 loss: 1.5438 grounding_loss_reg: 5.2773 detection_loss_cls: 0.1100 detection_loss_reg: 0.5691 caption_loss_cls: 2.9845 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.8949 semantic_segmentation_loss_cls: 0.0181 2023/10/02 12:57:56 - mmengine - INFO - Iter(train) [ 60300/480000] base_lr: 1.9239e-04 lr: 5.1360e-05 eta: 9 days, 5:52:46 time: 2.3664 data_time: 0.1038 memory: 26557 grad_norm: 1.0252 loss: 1.5429 grounding_loss_reg: 5.2744 detection_loss_cls: 0.1098 detection_loss_reg: 0.5684 caption_loss_cls: 2.9905 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.8932 semantic_segmentation_loss_cls: 0.0181 2023/10/02 13:01:36 - mmengine - INFO - Iter(train) [ 60400/480000] base_lr: 1.9236e-04 lr: 5.1354e-05 eta: 9 days, 8:16:19 time: 2.3643 data_time: 0.1038 memory: 26557 grad_norm: 1.0247 loss: 1.5360 grounding_loss_reg: 5.2683 detection_loss_cls: 0.1099 detection_loss_reg: 0.5688 caption_loss_cls: 2.9893 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.8917 semantic_segmentation_loss_cls: 0.0181 2023/10/02 13:05:15 - mmengine - INFO - Iter(train) [ 60500/480000] base_lr: 1.9234e-04 lr: 5.1347e-05 eta: 9 days, 10:17:07 time: 2.3564 data_time: 0.1038 memory: 26557 grad_norm: 1.0257 loss: 1.5333 grounding_loss_reg: 5.2652 detection_loss_cls: 0.1096 detection_loss_reg: 0.5680 caption_loss_cls: 2.9918 instance_segmentation_loss_cls: 0.0670 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.8910 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:05:15 - mmengine - INFO - Saving checkpoint at 60500 iterations 2023/10/02 13:09:50 - mmengine - INFO - Iter(train) [ 60600/480000] base_lr: 1.9231e-04 lr: 5.1341e-05 eta: 9 days, 16:08:49 time: 2.3521 data_time: 0.1060 memory: 26557 grad_norm: 1.0208 loss: 1.5292 grounding_loss_reg: 5.2636 detection_loss_cls: 0.1098 detection_loss_reg: 0.5691 caption_loss_cls: 2.9902 instance_segmentation_loss_cls: 0.0669 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.8901 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:13:39 - mmengine - INFO - Iter(train) [ 60700/480000] base_lr: 1.9229e-04 lr: 5.1334e-05 eta: 9 days, 18:05:38 time: 2.3433 data_time: 0.1060 memory: 26557 grad_norm: 1.0236 loss: 1.5363 grounding_loss_reg: 5.2597 detection_loss_cls: 0.1097 detection_loss_reg: 0.5695 caption_loss_cls: 2.9894 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.8913 semantic_segmentation_loss_cls: 0.0181 2023/10/02 13:17:32 - mmengine - INFO - Iter(train) [ 60800/480000] base_lr: 1.9226e-04 lr: 5.1328e-05 eta: 9 days, 20:05:49 time: 2.3449 data_time: 0.1060 memory: 26557 grad_norm: 1.0196 loss: 1.5342 grounding_loss_reg: 5.2595 detection_loss_cls: 0.1093 detection_loss_reg: 0.5680 caption_loss_cls: 2.9948 instance_segmentation_loss_cls: 0.0671 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.8910 semantic_segmentation_loss_cls: 0.0181 2023/10/02 13:21:35 - mmengine - INFO - Iter(train) [ 60900/480000] base_lr: 1.9224e-04 lr: 5.1321e-05 eta: 9 days, 22:33:10 time: 2.3459 data_time: 0.1060 memory: 26557 grad_norm: 1.0184 loss: 1.5297 grounding_loss_reg: 5.2570 detection_loss_cls: 0.1094 detection_loss_reg: 0.5686 caption_loss_cls: 2.9916 instance_segmentation_loss_cls: 0.0671 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8942 semantic_segmentation_loss_cls: 0.0181 2023/10/02 13:25:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_113552 2023/10/02 13:25:16 - mmengine - INFO - Iter(train) [ 61000/480000] base_lr: 1.9221e-04 lr: 5.1315e-05 eta: 9 days, 23:25:50 time: 2.3453 data_time: 0.1059 memory: 26557 grad_norm: 1.0157 loss: 1.5269 grounding_loss_reg: 5.2563 detection_loss_cls: 0.1096 detection_loss_reg: 0.5687 caption_loss_cls: 2.9868 instance_segmentation_loss_cls: 0.0671 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.8939 semantic_segmentation_loss_cls: 0.0181 2023/10/02 13:25:16 - mmengine - INFO - Saving checkpoint at 61000 iterations 2023/10/02 13:30:04 - mmengine - INFO - Iter(train) [ 61100/480000] base_lr: 1.9219e-04 lr: 5.1308e-05 eta: 10 days, 3:55:46 time: 2.3387 data_time: 0.1068 memory: 26557 grad_norm: 1.0143 loss: 1.5293 grounding_loss_reg: 5.2557 detection_loss_cls: 0.1096 detection_loss_reg: 0.5691 caption_loss_cls: 2.9846 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8960 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:34:02 - mmengine - INFO - Iter(train) [ 61200/480000] base_lr: 1.9216e-04 lr: 5.1302e-05 eta: 10 days, 5:20:43 time: 2.3341 data_time: 0.1068 memory: 26557 grad_norm: 1.0183 loss: 1.5277 grounding_loss_reg: 5.2516 detection_loss_cls: 0.1095 detection_loss_reg: 0.5687 caption_loss_cls: 2.9790 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8953 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:37:57 - mmengine - INFO - Iter(train) [ 61300/480000] base_lr: 1.9214e-04 lr: 5.1295e-05 eta: 10 days, 6:29:31 time: 2.3246 data_time: 0.1068 memory: 25718 grad_norm: 1.0182 loss: 1.5250 grounding_loss_reg: 5.2481 detection_loss_cls: 0.1098 detection_loss_reg: 0.5711 caption_loss_cls: 2.9780 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8954 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:41:29 - mmengine - INFO - Iter(train) [ 61400/480000] base_lr: 1.9211e-04 lr: 5.1289e-05 eta: 10 days, 6:26:35 time: 2.3223 data_time: 0.1068 memory: 25718 grad_norm: 1.0214 loss: 1.5333 grounding_loss_reg: 5.2466 detection_loss_cls: 0.1100 detection_loss_reg: 0.5714 caption_loss_cls: 2.9753 instance_segmentation_loss_cls: 0.0675 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8954 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:45:31 - mmengine - INFO - Iter(train) [ 61500/480000] base_lr: 1.9209e-04 lr: 5.1282e-05 eta: 10 days, 7:46:32 time: 2.3301 data_time: 0.1068 memory: 25718 grad_norm: 1.0166 loss: 1.5201 grounding_loss_reg: 5.2466 detection_loss_cls: 0.1101 detection_loss_reg: 0.5697 caption_loss_cls: 2.9687 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.8935 semantic_segmentation_loss_cls: 0.0179 2023/10/02 13:45:31 - mmengine - INFO - Saving checkpoint at 61500 iterations 2023/10/02 13:50:20 - mmengine - INFO - Iter(train) [ 61600/480000] base_lr: 1.9206e-04 lr: 5.1275e-05 eta: 10 days, 11:08:26 time: 2.3221 data_time: 0.1078 memory: 26557 grad_norm: 1.0202 loss: 1.5258 grounding_loss_reg: 5.2461 detection_loss_cls: 0.1100 detection_loss_reg: 0.5693 caption_loss_cls: 2.9668 instance_segmentation_loss_cls: 0.0673 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.8902 semantic_segmentation_loss_cls: 0.0180 2023/10/02 13:54:45 - mmengine - INFO - Iter(train) [ 61700/480000] base_lr: 1.9204e-04 lr: 5.1269e-05 eta: 10 days, 13:10:55 time: 2.3240 data_time: 0.1077 memory: 26557 grad_norm: 1.0176 loss: 1.5203 grounding_loss_reg: 5.2446 detection_loss_cls: 0.1104 detection_loss_reg: 0.5705 caption_loss_cls: 2.9640 instance_segmentation_loss_cls: 0.0673 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8908 semantic_segmentation_loss_cls: 0.0179 2023/10/02 13:58:38 - mmengine - INFO - Iter(train) [ 61800/480000] base_lr: 1.9201e-04 lr: 5.1262e-05 eta: 10 days, 13:44:00 time: 2.3180 data_time: 0.1077 memory: 26557 grad_norm: 1.0249 loss: 1.5264 grounding_loss_reg: 5.2425 detection_loss_cls: 0.1095 detection_loss_reg: 0.5674 caption_loss_cls: 2.9622 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.8920 semantic_segmentation_loss_cls: 0.0179 2023/10/02 14:02:28 - mmengine - INFO - Iter(train) [ 61900/480000] base_lr: 1.9199e-04 lr: 5.1256e-05 eta: 10 days, 14:09:20 time: 2.3163 data_time: 0.1076 memory: 26557 grad_norm: 1.0215 loss: 1.5147 grounding_loss_reg: 5.2398 detection_loss_cls: 0.1092 detection_loss_reg: 0.5664 caption_loss_cls: 2.9607 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.8915 semantic_segmentation_loss_cls: 0.0179 2023/10/02 14:06:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_113552 2023/10/02 14:06:32 - mmengine - INFO - Iter(train) [ 62000/480000] base_lr: 1.9196e-04 lr: 5.1249e-05 eta: 10 days, 15:03:55 time: 2.3064 data_time: 0.1076 memory: 26557 grad_norm: 1.0255 loss: 1.5224 grounding_loss_reg: 5.2387 detection_loss_cls: 0.1093 detection_loss_reg: 0.5660 caption_loss_cls: 2.9597 instance_segmentation_loss_cls: 0.0676 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.8931 semantic_segmentation_loss_cls: 0.0179 2023/10/02 14:06:32 - mmengine - INFO - Saving checkpoint at 62000 iterations 2023/10/02 14:11:40 - mmengine - INFO - Iter(train) [ 62100/480000] base_lr: 1.9193e-04 lr: 5.1242e-05 eta: 10 days, 18:18:16 time: 2.3021 data_time: 0.1087 memory: 26557 grad_norm: 1.0327 loss: 1.5314 grounding_loss_reg: 5.2354 detection_loss_cls: 0.1088 detection_loss_reg: 0.5649 caption_loss_cls: 2.9539 instance_segmentation_loss_cls: 0.0669 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.8915 semantic_segmentation_loss_cls: 0.0179 2023/10/02 14:15:33 - mmengine - INFO - Iter(train) [ 62200/480000] base_lr: 1.9191e-04 lr: 5.1236e-05 eta: 10 days, 18:37:54 time: 2.2991 data_time: 0.1087 memory: 26557 grad_norm: 1.0331 loss: 1.5356 grounding_loss_reg: 5.2335 detection_loss_cls: 0.1082 detection_loss_reg: 0.5640 caption_loss_cls: 2.9510 instance_segmentation_loss_cls: 0.0668 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.8905 semantic_segmentation_loss_cls: 0.0179 2023/10/02 14:19:57 - mmengine - INFO - Iter(train) [ 62300/480000] base_lr: 1.9188e-04 lr: 5.1229e-05 eta: 10 days, 20:00:42 time: 2.3013 data_time: 0.1087 memory: 26557 grad_norm: 1.0341 loss: 1.5327 grounding_loss_reg: 5.2326 detection_loss_cls: 0.1078 detection_loss_reg: 0.5632 caption_loss_cls: 2.9473 instance_segmentation_loss_cls: 0.0668 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8920 semantic_segmentation_loss_cls: 0.0178 2023/10/02 14:23:42 - mmengine - INFO - Iter(train) [ 62400/480000] base_lr: 1.9186e-04 lr: 5.1222e-05 eta: 10 days, 19:58:29 time: 2.2927 data_time: 0.1087 memory: 26557 grad_norm: 1.0378 loss: 1.5370 grounding_loss_reg: 5.2310 detection_loss_cls: 0.1082 detection_loss_reg: 0.5648 caption_loss_cls: 2.9428 instance_segmentation_loss_cls: 0.0667 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.8918 semantic_segmentation_loss_cls: 0.0178 2023/10/02 14:27:48 - mmengine - INFO - Iter(train) [ 62500/480000] base_lr: 1.9183e-04 lr: 5.1216e-05 eta: 10 days, 20:37:32 time: 2.2983 data_time: 0.1086 memory: 26557 grad_norm: 1.0368 loss: 1.5235 grounding_loss_reg: 5.2286 detection_loss_cls: 0.1083 detection_loss_reg: 0.5653 caption_loss_cls: 2.9412 instance_segmentation_loss_cls: 0.0667 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.8918 semantic_segmentation_loss_cls: 0.0178 2023/10/02 14:27:48 - mmengine - INFO - Saving checkpoint at 62500 iterations 2023/10/02 14:32:21 - mmengine - INFO - Iter(train) [ 62600/480000] base_lr: 1.9181e-04 lr: 5.1209e-05 eta: 10 days, 22:07:45 time: 2.2930 data_time: 0.1091 memory: 26557 grad_norm: 1.0442 loss: 1.5341 grounding_loss_reg: 5.2272 detection_loss_cls: 0.1083 detection_loss_reg: 0.5656 caption_loss_cls: 2.9431 instance_segmentation_loss_cls: 0.0666 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.8915 semantic_segmentation_loss_cls: 0.0178 2023/10/02 14:36:43 - mmengine - INFO - Iter(train) [ 62700/480000] base_lr: 1.9178e-04 lr: 5.1202e-05 eta: 10 days, 23:11:49 time: 2.2902 data_time: 0.1091 memory: 26557 grad_norm: 1.0448 loss: 1.5332 grounding_loss_reg: 5.2271 detection_loss_cls: 0.1083 detection_loss_reg: 0.5655 caption_loss_cls: 2.9420 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0178 2023/10/02 14:41:08 - mmengine - INFO - Iter(train) [ 62800/480000] base_lr: 1.9175e-04 lr: 5.1196e-05 eta: 11 days, 0:17:42 time: 2.2915 data_time: 0.1091 memory: 26557 grad_norm: 1.0429 loss: 1.5266 grounding_loss_reg: 5.2254 detection_loss_cls: 0.1083 detection_loss_reg: 0.5652 caption_loss_cls: 2.9426 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.8927 semantic_segmentation_loss_cls: 0.0178 2023/10/02 14:44:53 - mmengine - INFO - Iter(train) [ 62900/480000] base_lr: 1.9173e-04 lr: 5.1189e-05 eta: 11 days, 0:08:07 time: 2.2920 data_time: 0.1091 memory: 26557 grad_norm: 1.0421 loss: 1.5164 grounding_loss_reg: 5.2222 detection_loss_cls: 0.1085 detection_loss_reg: 0.5648 caption_loss_cls: 2.9407 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.8929 semantic_segmentation_loss_cls: 0.0177 2023/10/02 14:48:59 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_113552 2023/10/02 14:48:59 - mmengine - INFO - Iter(train) [ 63000/480000] base_lr: 1.9170e-04 lr: 5.1182e-05 eta: 11 days, 0:34:59 time: 2.2842 data_time: 0.1090 memory: 26557 grad_norm: 1.0475 loss: 1.5189 grounding_loss_reg: 5.2194 detection_loss_cls: 0.1076 detection_loss_reg: 0.5615 caption_loss_cls: 2.9453 instance_segmentation_loss_cls: 0.0660 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.8918 semantic_segmentation_loss_cls: 0.0177 2023/10/02 14:48:59 - mmengine - INFO - Saving checkpoint at 63000 iterations 2023/10/02 14:53:52 - mmengine - INFO - Iter(train) [ 63100/480000] base_lr: 1.9168e-04 lr: 5.1175e-05 eta: 11 days, 2:20:21 time: 2.3174 data_time: 0.1243 memory: 26557 grad_norm: 1.0437 loss: 1.5141 grounding_loss_reg: 5.2175 detection_loss_cls: 0.1076 detection_loss_reg: 0.5614 caption_loss_cls: 2.9522 instance_segmentation_loss_cls: 0.0658 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.8920 semantic_segmentation_loss_cls: 0.0177 2023/10/02 14:58:05 - mmengine - INFO - Iter(train) [ 63200/480000] base_lr: 1.9165e-04 lr: 5.1169e-05 eta: 11 days, 2:54:08 time: 2.3419 data_time: 0.1243 memory: 26557 grad_norm: 1.0427 loss: 1.5135 grounding_loss_reg: 5.2140 detection_loss_cls: 0.1076 detection_loss_reg: 0.5618 caption_loss_cls: 2.9506 instance_segmentation_loss_cls: 0.0659 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.8919 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:01:46 - mmengine - INFO - Iter(train) [ 63300/480000] base_lr: 1.9162e-04 lr: 5.1162e-05 eta: 11 days, 2:34:58 time: 2.3561 data_time: 0.1243 memory: 25718 grad_norm: 1.0419 loss: 1.5169 grounding_loss_reg: 5.2131 detection_loss_cls: 0.1077 detection_loss_reg: 0.5618 caption_loss_cls: 2.9520 instance_segmentation_loss_cls: 0.0659 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.8916 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:05:34 - mmengine - INFO - Iter(train) [ 63400/480000] base_lr: 1.9160e-04 lr: 5.1155e-05 eta: 11 days, 2:27:25 time: 2.3714 data_time: 0.1243 memory: 26557 grad_norm: 1.0420 loss: 1.5156 grounding_loss_reg: 5.2116 detection_loss_cls: 0.1076 detection_loss_reg: 0.5605 caption_loss_cls: 2.9584 instance_segmentation_loss_cls: 0.0656 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.8908 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:09:26 - mmengine - INFO - Iter(train) [ 63500/480000] base_lr: 1.9157e-04 lr: 5.1148e-05 eta: 11 days, 2:26:16 time: 2.3837 data_time: 0.1243 memory: 26557 grad_norm: 1.0445 loss: 1.5196 grounding_loss_reg: 5.2103 detection_loss_cls: 0.1075 detection_loss_reg: 0.5603 caption_loss_cls: 2.9590 instance_segmentation_loss_cls: 0.0657 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.8904 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:09:26 - mmengine - INFO - Saving checkpoint at 63500 iterations 2023/10/02 15:14:31 - mmengine - INFO - Iter(train) [ 63600/480000] base_lr: 1.9155e-04 lr: 5.1142e-05 eta: 11 days, 4:15:34 time: 2.4031 data_time: 0.1245 memory: 26557 grad_norm: 1.0421 loss: 1.5119 grounding_loss_reg: 5.2082 detection_loss_cls: 0.1076 detection_loss_reg: 0.5604 caption_loss_cls: 2.9572 instance_segmentation_loss_cls: 0.0655 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.8887 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:18:40 - mmengine - INFO - Iter(train) [ 63700/480000] base_lr: 1.9152e-04 lr: 5.1135e-05 eta: 11 days, 4:36:16 time: 2.4196 data_time: 0.1245 memory: 26557 grad_norm: 1.0423 loss: 1.5126 grounding_loss_reg: 5.2078 detection_loss_cls: 0.1073 detection_loss_reg: 0.5591 caption_loss_cls: 2.9529 instance_segmentation_loss_cls: 0.0653 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.8871 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:23:13 - mmengine - INFO - Iter(train) [ 63800/480000] base_lr: 1.9149e-04 lr: 5.1128e-05 eta: 11 days, 5:32:33 time: 2.4409 data_time: 0.1245 memory: 26557 grad_norm: 1.0437 loss: 1.5160 grounding_loss_reg: 5.2054 detection_loss_cls: 0.1070 detection_loss_reg: 0.5581 caption_loss_cls: 2.9540 instance_segmentation_loss_cls: 0.0655 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.8886 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:26:43 - mmengine - INFO - Iter(train) [ 63900/480000] base_lr: 1.9147e-04 lr: 5.1121e-05 eta: 11 days, 4:55:20 time: 2.4450 data_time: 0.1245 memory: 25718 grad_norm: 1.0446 loss: 1.5215 grounding_loss_reg: 5.2041 detection_loss_cls: 0.1070 detection_loss_reg: 0.5574 caption_loss_cls: 2.9575 instance_segmentation_loss_cls: 0.0654 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.8879 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:30:12 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_113552 2023/10/02 15:30:12 - mmengine - INFO - Iter(train) [ 64000/480000] base_lr: 1.9144e-04 lr: 5.1114e-05 eta: 11 days, 4:18:15 time: 2.4495 data_time: 0.1244 memory: 26557 grad_norm: 1.0435 loss: 1.5189 grounding_loss_reg: 5.2026 detection_loss_cls: 0.1066 detection_loss_reg: 0.5560 caption_loss_cls: 2.9511 instance_segmentation_loss_cls: 0.0655 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.8887 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:30:12 - mmengine - INFO - Saving checkpoint at 64000 iterations 2023/10/02 15:35:33 - mmengine - INFO - Iter(train) [ 64100/480000] base_lr: 1.9141e-04 lr: 5.1108e-05 eta: 11 days, 6:14:53 time: 2.4735 data_time: 0.1391 memory: 26557 grad_norm: 1.0419 loss: 1.5268 grounding_loss_reg: 5.2011 detection_loss_cls: 0.1066 detection_loss_reg: 0.5561 caption_loss_cls: 2.9563 instance_segmentation_loss_cls: 0.0665 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8923 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:39:48 - mmengine - INFO - Iter(train) [ 64200/480000] base_lr: 1.9139e-04 lr: 5.1101e-05 eta: 11 days, 6:40:09 time: 2.4868 data_time: 0.1391 memory: 26557 grad_norm: 1.0423 loss: 1.5244 grounding_loss_reg: 5.1996 detection_loss_cls: 0.1062 detection_loss_reg: 0.5546 caption_loss_cls: 2.9577 instance_segmentation_loss_cls: 0.0664 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8915 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:44:00 - mmengine - INFO - Iter(train) [ 64300/480000] base_lr: 1.9136e-04 lr: 5.1094e-05 eta: 11 days, 6:59:08 time: 2.4909 data_time: 0.1391 memory: 26557 grad_norm: 1.0425 loss: 1.5231 grounding_loss_reg: 5.1979 detection_loss_cls: 0.1061 detection_loss_reg: 0.5543 caption_loss_cls: 2.9603 instance_segmentation_loss_cls: 0.0665 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.8928 semantic_segmentation_loss_cls: 0.0176 2023/10/02 15:47:50 - mmengine - INFO - Iter(train) [ 64400/480000] base_lr: 1.9134e-04 lr: 5.1087e-05 eta: 11 days, 6:49:01 time: 2.4935 data_time: 0.1391 memory: 26557 grad_norm: 1.0407 loss: 1.5259 grounding_loss_reg: 5.1962 detection_loss_cls: 0.1063 detection_loss_reg: 0.5550 caption_loss_cls: 2.9579 instance_segmentation_loss_cls: 0.0664 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.8935 semantic_segmentation_loss_cls: 0.0177 2023/10/02 15:52:17 - mmengine - INFO - Iter(train) [ 64500/480000] base_lr: 1.9131e-04 lr: 5.1080e-05 eta: 11 days, 7:25:14 time: 2.5053 data_time: 0.1391 memory: 26557 grad_norm: 1.0352 loss: 1.5232 grounding_loss_reg: 5.1944 detection_loss_cls: 0.1059 detection_loss_reg: 0.5543 caption_loss_cls: 2.9586 instance_segmentation_loss_cls: 0.0663 instance_segmentation_loss_reg: 0.2722 instance_segmentation_loss_poly: 0.8929 semantic_segmentation_loss_cls: 0.0176 2023/10/02 15:52:17 - mmengine - INFO - Saving checkpoint at 64500 iterations 2023/10/02 15:57:34 - mmengine - INFO - Iter(train) [ 64600/480000] base_lr: 1.9128e-04 lr: 5.1073e-05 eta: 11 days, 9:02:35 time: 2.5157 data_time: 0.1381 memory: 26557 grad_norm: 1.0322 loss: 1.5204 grounding_loss_reg: 5.1936 detection_loss_cls: 0.1059 detection_loss_reg: 0.5537 caption_loss_cls: 2.9645 instance_segmentation_loss_cls: 0.0663 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0176 2023/10/02 16:01:29 - mmengine - INFO - Iter(train) [ 64700/480000] base_lr: 1.9126e-04 lr: 5.1066e-05 eta: 11 days, 8:57:21 time: 2.5175 data_time: 0.1380 memory: 26557 grad_norm: 1.0319 loss: 1.5158 grounding_loss_reg: 5.1930 detection_loss_cls: 0.1054 detection_loss_reg: 0.5518 caption_loss_cls: 2.9640 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.8905 semantic_segmentation_loss_cls: 0.0176 2023/10/02 16:05:40 - mmengine - INFO - Iter(train) [ 64800/480000] base_lr: 1.9123e-04 lr: 5.1059e-05 eta: 11 days, 9:10:24 time: 2.5220 data_time: 0.1380 memory: 25718 grad_norm: 1.0318 loss: 1.5136 grounding_loss_reg: 5.1920 detection_loss_cls: 0.1054 detection_loss_reg: 0.5511 caption_loss_cls: 2.9661 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.8902 semantic_segmentation_loss_cls: 0.0176 2023/10/02 16:10:01 - mmengine - INFO - Iter(train) [ 64900/480000] base_lr: 1.9120e-04 lr: 5.1053e-05 eta: 11 days, 9:35:04 time: 2.5264 data_time: 0.1380 memory: 25718 grad_norm: 1.0303 loss: 1.5135 grounding_loss_reg: 5.1904 detection_loss_cls: 0.1053 detection_loss_reg: 0.5508 caption_loss_cls: 2.9688 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.8905 semantic_segmentation_loss_cls: 0.0176 2023/10/02 16:13:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231002_113552 2023/10/02 16:13:53 - mmengine - INFO - Iter(train) [ 65000/480000] base_lr: 1.9118e-04 lr: 5.1046e-05 eta: 11 days, 9:24:00 time: 2.5289 data_time: 0.1380 memory: 26557 grad_norm: 1.0316 loss: 1.5166 grounding_loss_reg: 5.1888 detection_loss_cls: 0.1051 detection_loss_reg: 0.5505 caption_loss_cls: 2.9716 instance_segmentation_loss_cls: 0.0663 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.8902 semantic_segmentation_loss_cls: 0.0177 2023/10/02 16:13:53 - mmengine - INFO - Saving checkpoint at 65000 iterations 2023/10/02 16:18:48 - mmengine - INFO - Iter(train) [ 65100/480000] base_lr: 1.9115e-04 lr: 5.1039e-05 eta: 11 days, 10:25:32 time: 2.5307 data_time: 0.1380 memory: 26557 grad_norm: 1.0306 loss: 1.5127 grounding_loss_reg: 5.1874 detection_loss_cls: 0.1051 detection_loss_reg: 0.5513 caption_loss_cls: 2.9701 instance_segmentation_loss_cls: 0.0666 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8922 semantic_segmentation_loss_cls: 0.0176 2023/10/02 16:23:12 - mmengine - INFO - Iter(train) [ 65200/480000] base_lr: 1.9112e-04 lr: 5.1032e-05 eta: 11 days, 10:51:06 time: 2.5374 data_time: 0.1379 memory: 26557 grad_norm: 1.0262 loss: 1.5100 grounding_loss_reg: 5.1859 detection_loss_cls: 0.1054 detection_loss_reg: 0.5528 caption_loss_cls: 2.9643 instance_segmentation_loss_cls: 0.0663 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.8917 semantic_segmentation_loss_cls: 0.0177 2023/10/02 16:27:37 - mmengine - INFO - Iter(train) [ 65300/480000] base_lr: 1.9110e-04 lr: 5.1025e-05 eta: 11 days, 11:16:18 time: 2.5450 data_time: 0.1380 memory: 26557 grad_norm: 1.0258 loss: 1.5132 grounding_loss_reg: 5.1851 detection_loss_cls: 0.1053 detection_loss_reg: 0.5535 caption_loss_cls: 2.9659 instance_segmentation_loss_cls: 0.0660 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.8907 semantic_segmentation_loss_cls: 0.0177 2023/10/02 16:31:27 - mmengine - INFO - Iter(train) [ 65400/480000] base_lr: 1.9107e-04 lr: 5.1018e-05 eta: 11 days, 11:02:12 time: 2.5494 data_time: 0.1379 memory: 26557 grad_norm: 1.0235 loss: 1.5100 grounding_loss_reg: 5.1848 detection_loss_cls: 0.1058 detection_loss_reg: 0.5558 caption_loss_cls: 2.9667 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.8917 semantic_segmentation_loss_cls: 0.0177 2023/10/03 04:06:01 - mmengine - INFO - Iter(train) [ 65500/480000] base_lr: 1.9104e-04 lr: 5.1011e-05 eta: 8 days, 0:01:45 time: 2.4338 data_time: 0.1221 memory: 26633 grad_norm: 1.0357 loss: 1.5249 grounding_loss_reg: 5.1760 detection_loss_cls: 0.1048 detection_loss_reg: 0.5523 caption_loss_cls: 2.9716 instance_segmentation_loss_cls: 0.0662 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.8927 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:06:01 - mmengine - INFO - Saving checkpoint at 65500 iterations 2023/10/03 04:09:54 - mmengine - INFO - Iter(train) [ 65600/480000] base_lr: 1.9101e-04 lr: 5.1004e-05 eta: 8 days, 12:37:59 time: 2.4196 data_time: 0.1213 memory: 26633 grad_norm: 1.0346 loss: 1.5178 grounding_loss_reg: 5.1753 detection_loss_cls: 0.1044 detection_loss_reg: 0.5500 caption_loss_cls: 2.9689 instance_segmentation_loss_cls: 0.0660 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8919 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:13:01 - mmengine - INFO - Iter(train) [ 65700/480000] base_lr: 1.9099e-04 lr: 5.0997e-05 eta: 8 days, 14:07:50 time: 2.4002 data_time: 0.1212 memory: 26633 grad_norm: 1.0327 loss: 1.5157 grounding_loss_reg: 5.1738 detection_loss_cls: 0.1043 detection_loss_reg: 0.5503 caption_loss_cls: 2.9704 instance_segmentation_loss_cls: 0.0661 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8914 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:16:14 - mmengine - INFO - Iter(train) [ 65800/480000] base_lr: 1.9096e-04 lr: 5.0990e-05 eta: 8 days, 16:10:30 time: 2.3904 data_time: 0.1212 memory: 26633 grad_norm: 1.0262 loss: 1.5121 grounding_loss_reg: 5.1733 detection_loss_cls: 0.1043 detection_loss_reg: 0.5502 caption_loss_cls: 2.9688 instance_segmentation_loss_cls: 0.0661 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8903 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:19:39 - mmengine - INFO - Iter(train) [ 65900/480000] base_lr: 1.9093e-04 lr: 5.0983e-05 eta: 8 days, 19:09:38 time: 2.3840 data_time: 0.1212 memory: 26633 grad_norm: 1.0286 loss: 1.5185 grounding_loss_reg: 5.1675 detection_loss_cls: 0.1046 detection_loss_reg: 0.5513 caption_loss_cls: 2.9660 instance_segmentation_loss_cls: 0.0659 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.8891 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:22:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_032556 2023/10/03 04:22:51 - mmengine - INFO - Iter(train) [ 66000/480000] base_lr: 1.9091e-04 lr: 5.0976e-05 eta: 8 days, 20:00:46 time: 2.3708 data_time: 0.1212 memory: 26633 grad_norm: 1.0310 loss: 1.5189 grounding_loss_reg: 5.1647 detection_loss_cls: 0.1045 detection_loss_reg: 0.5518 caption_loss_cls: 2.9653 instance_segmentation_loss_cls: 0.0652 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.8849 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:22:51 - mmengine - INFO - Saving checkpoint at 66000 iterations 2023/10/03 04:27:24 - mmengine - INFO - Iter(train) [ 66100/480000] base_lr: 1.9088e-04 lr: 5.0969e-05 eta: 9 days, 5:18:06 time: 2.3623 data_time: 0.1201 memory: 26633 grad_norm: 1.0282 loss: 1.5185 grounding_loss_reg: 5.1614 detection_loss_cls: 0.1047 detection_loss_reg: 0.5527 caption_loss_cls: 2.9621 instance_segmentation_loss_cls: 0.0653 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.8851 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:30:28 - mmengine - INFO - Iter(train) [ 66200/480000] base_lr: 1.9085e-04 lr: 5.0962e-05 eta: 9 days, 4:24:02 time: 2.3499 data_time: 0.1200 memory: 25793 grad_norm: 1.0259 loss: 1.5179 grounding_loss_reg: 5.1582 detection_loss_cls: 0.1044 detection_loss_reg: 0.5513 caption_loss_cls: 2.9609 instance_segmentation_loss_cls: 0.0650 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.8836 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:34:05 - mmengine - INFO - Iter(train) [ 66300/480000] base_lr: 1.9082e-04 lr: 5.0955e-05 eta: 9 days, 6:36:04 time: 2.3383 data_time: 0.1200 memory: 26633 grad_norm: 1.0233 loss: 1.5235 grounding_loss_reg: 5.1559 detection_loss_cls: 0.1046 detection_loss_reg: 0.5517 caption_loss_cls: 2.9632 instance_segmentation_loss_cls: 0.0651 instance_segmentation_loss_reg: 0.2684 instance_segmentation_loss_poly: 0.8839 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:37:31 - mmengine - INFO - Iter(train) [ 66400/480000] base_lr: 1.9080e-04 lr: 5.0948e-05 eta: 9 days, 7:33:10 time: 2.3335 data_time: 0.1200 memory: 26633 grad_norm: 1.0259 loss: 1.5272 grounding_loss_reg: 5.1544 detection_loss_cls: 0.1045 detection_loss_reg: 0.5519 caption_loss_cls: 2.9636 instance_segmentation_loss_cls: 0.0650 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.8835 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:41:00 - mmengine - INFO - Iter(train) [ 66500/480000] base_lr: 1.9077e-04 lr: 5.0940e-05 eta: 9 days, 8:33:13 time: 2.3242 data_time: 0.1200 memory: 26633 grad_norm: 1.0268 loss: 1.5278 grounding_loss_reg: 5.1521 detection_loss_cls: 0.1040 detection_loss_reg: 0.5498 caption_loss_cls: 2.9620 instance_segmentation_loss_cls: 0.0651 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.8831 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:41:00 - mmengine - INFO - Saving checkpoint at 66500 iterations 2023/10/03 04:45:17 - mmengine - INFO - Iter(train) [ 66600/480000] base_lr: 1.9074e-04 lr: 5.0933e-05 eta: 9 days, 12:55:12 time: 2.3202 data_time: 0.1196 memory: 26633 grad_norm: 1.0192 loss: 1.5131 grounding_loss_reg: 5.1526 detection_loss_cls: 0.1039 detection_loss_reg: 0.5491 caption_loss_cls: 2.9591 instance_segmentation_loss_cls: 0.0651 instance_segmentation_loss_reg: 0.2678 instance_segmentation_loss_poly: 0.8808 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:48:48 - mmengine - INFO - Iter(train) [ 66700/480000] base_lr: 1.9072e-04 lr: 5.0926e-05 eta: 9 days, 13:39:25 time: 2.3074 data_time: 0.1195 memory: 26633 grad_norm: 1.0247 loss: 1.5231 grounding_loss_reg: 5.1506 detection_loss_cls: 0.1038 detection_loss_reg: 0.5487 caption_loss_cls: 2.9583 instance_segmentation_loss_cls: 0.0652 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.8830 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:52:16 - mmengine - INFO - Iter(train) [ 66800/480000] base_lr: 1.9069e-04 lr: 5.0919e-05 eta: 9 days, 14:08:27 time: 2.2932 data_time: 0.1195 memory: 26633 grad_norm: 1.0231 loss: 1.5211 grounding_loss_reg: 5.1488 detection_loss_cls: 0.1034 detection_loss_reg: 0.5476 caption_loss_cls: 2.9552 instance_segmentation_loss_cls: 0.0651 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.8827 semantic_segmentation_loss_cls: 0.0176 2023/10/03 04:55:56 - mmengine - INFO - Iter(train) [ 66900/480000] base_lr: 1.9066e-04 lr: 5.0912e-05 eta: 9 days, 15:13:27 time: 2.2919 data_time: 0.1196 memory: 26633 grad_norm: 1.0194 loss: 1.5246 grounding_loss_reg: 5.1463 detection_loss_cls: 0.1035 detection_loss_reg: 0.5475 caption_loss_cls: 2.9586 instance_segmentation_loss_cls: 0.0651 instance_segmentation_loss_reg: 0.2686 instance_segmentation_loss_poly: 0.8840 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:59:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_032556 2023/10/03 04:59:15 - mmengine - INFO - Iter(train) [ 67000/480000] base_lr: 1.9063e-04 lr: 5.0905e-05 eta: 9 days, 15:02:59 time: 2.2803 data_time: 0.1195 memory: 26633 grad_norm: 1.0187 loss: 1.5217 grounding_loss_reg: 5.1451 detection_loss_cls: 0.1037 detection_loss_reg: 0.5471 caption_loss_cls: 2.9567 instance_segmentation_loss_cls: 0.0643 instance_segmentation_loss_reg: 0.2662 instance_segmentation_loss_poly: 0.8784 semantic_segmentation_loss_cls: 0.0175 2023/10/03 04:59:15 - mmengine - INFO - Saving checkpoint at 67000 iterations 2023/10/03 05:03:50 - mmengine - INFO - Iter(train) [ 67100/480000] base_lr: 1.9061e-04 lr: 5.0898e-05 eta: 9 days, 19:01:49 time: 2.2759 data_time: 0.1192 memory: 26633 grad_norm: 1.0144 loss: 1.5112 grounding_loss_reg: 5.1447 detection_loss_cls: 0.1030 detection_loss_reg: 0.5442 caption_loss_cls: 2.9568 instance_segmentation_loss_cls: 0.0642 instance_segmentation_loss_reg: 0.2657 instance_segmentation_loss_poly: 0.8771 semantic_segmentation_loss_cls: 0.0176 2023/10/03 05:07:40 - mmengine - INFO - Iter(train) [ 67200/480000] base_lr: 1.9058e-04 lr: 5.0891e-05 eta: 9 days, 20:15:02 time: 2.2701 data_time: 0.1192 memory: 26633 grad_norm: 1.0156 loss: 1.5161 grounding_loss_reg: 5.1426 detection_loss_cls: 0.1031 detection_loss_reg: 0.5455 caption_loss_cls: 2.9565 instance_segmentation_loss_cls: 0.0642 instance_segmentation_loss_reg: 0.2655 instance_segmentation_loss_poly: 0.8755 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:11:27 - mmengine - INFO - Iter(train) [ 67300/480000] base_lr: 1.9055e-04 lr: 5.0883e-05 eta: 9 days, 21:14:16 time: 2.2716 data_time: 0.1192 memory: 25793 grad_norm: 1.0140 loss: 1.5144 grounding_loss_reg: 5.1400 detection_loss_cls: 0.1030 detection_loss_reg: 0.5452 caption_loss_cls: 2.9587 instance_segmentation_loss_cls: 0.0642 instance_segmentation_loss_reg: 0.2655 instance_segmentation_loss_poly: 0.8759 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:14:50 - mmengine - INFO - Iter(train) [ 67400/480000] base_lr: 1.9052e-04 lr: 5.0876e-05 eta: 9 days, 21:01:07 time: 2.2655 data_time: 0.1192 memory: 25793 grad_norm: 1.0185 loss: 1.5178 grounding_loss_reg: 5.1358 detection_loss_cls: 0.1033 detection_loss_reg: 0.5464 caption_loss_cls: 2.9521 instance_segmentation_loss_cls: 0.0641 instance_segmentation_loss_reg: 0.2653 instance_segmentation_loss_poly: 0.8754 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:18:48 - mmengine - INFO - Iter(train) [ 67500/480000] base_lr: 1.9050e-04 lr: 5.0869e-05 eta: 9 days, 22:23:16 time: 2.2670 data_time: 0.1192 memory: 25793 grad_norm: 1.0146 loss: 1.5157 grounding_loss_reg: 5.1358 detection_loss_cls: 0.1029 detection_loss_reg: 0.5452 caption_loss_cls: 2.9563 instance_segmentation_loss_cls: 0.0641 instance_segmentation_loss_reg: 0.2654 instance_segmentation_loss_poly: 0.8758 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:18:48 - mmengine - INFO - Saving checkpoint at 67500 iterations 2023/10/03 05:23:35 - mmengine - INFO - Iter(train) [ 67600/480000] base_lr: 1.9047e-04 lr: 5.0862e-05 eta: 10 days, 1:47:54 time: 2.2624 data_time: 0.1189 memory: 26633 grad_norm: 1.0175 loss: 1.5245 grounding_loss_reg: 5.1343 detection_loss_cls: 0.1030 detection_loss_reg: 0.5453 caption_loss_cls: 2.9549 instance_segmentation_loss_cls: 0.0640 instance_segmentation_loss_reg: 0.2647 instance_segmentation_loss_poly: 0.8741 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:27:56 - mmengine - INFO - Iter(train) [ 67700/480000] base_lr: 1.9044e-04 lr: 5.0855e-05 eta: 10 days, 3:51:00 time: 2.2654 data_time: 0.1189 memory: 26633 grad_norm: 1.0183 loss: 1.5302 grounding_loss_reg: 5.1323 detection_loss_cls: 0.1033 detection_loss_reg: 0.5464 caption_loss_cls: 2.9553 instance_segmentation_loss_cls: 0.0641 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.8748 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:31:36 - mmengine - INFO - Iter(train) [ 67800/480000] base_lr: 1.9041e-04 lr: 5.0848e-05 eta: 10 days, 4:04:05 time: 2.2519 data_time: 0.1188 memory: 26633 grad_norm: 1.0240 loss: 1.5337 grounding_loss_reg: 5.1297 detection_loss_cls: 0.1032 detection_loss_reg: 0.5454 caption_loss_cls: 2.9579 instance_segmentation_loss_cls: 0.0644 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.8755 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:35:26 - mmengine - INFO - Iter(train) [ 67900/480000] base_lr: 1.9038e-04 lr: 5.0840e-05 eta: 10 days, 4:41:06 time: 2.2570 data_time: 0.1189 memory: 26633 grad_norm: 1.0194 loss: 1.5250 grounding_loss_reg: 5.1282 detection_loss_cls: 0.1034 detection_loss_reg: 0.5457 caption_loss_cls: 2.9569 instance_segmentation_loss_cls: 0.0644 instance_segmentation_loss_reg: 0.2653 instance_segmentation_loss_poly: 0.8760 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:39:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_032556 2023/10/03 05:39:23 - mmengine - INFO - Iter(train) [ 68000/480000] base_lr: 1.9036e-04 lr: 5.0833e-05 eta: 10 days, 5:31:04 time: 2.2641 data_time: 0.1189 memory: 26633 grad_norm: 1.0177 loss: 1.5268 grounding_loss_reg: 5.1270 detection_loss_cls: 0.1035 detection_loss_reg: 0.5457 caption_loss_cls: 2.9604 instance_segmentation_loss_cls: 0.0645 instance_segmentation_loss_reg: 0.2662 instance_segmentation_loss_poly: 0.8779 semantic_segmentation_loss_cls: 0.0175 2023/10/03 05:39:23 - mmengine - INFO - Saving checkpoint at 68000 iterations 2023/10/03 05:44:37 - mmengine - INFO - Iter(train) [ 68100/480000] base_lr: 1.9033e-04 lr: 5.0826e-05 eta: 10 days, 9:07:50 time: 2.2624 data_time: 0.1183 memory: 26633 grad_norm: 1.0224 loss: 1.5200 grounding_loss_reg: 5.1228 detection_loss_cls: 0.1034 detection_loss_reg: 0.5452 caption_loss_cls: 2.9583 instance_segmentation_loss_cls: 0.0647 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.8793 semantic_segmentation_loss_cls: 0.0174 2023/10/03 05:48:27 - mmengine - INFO - Iter(train) [ 68200/480000] base_lr: 1.9030e-04 lr: 5.0819e-05 eta: 10 days, 9:30:38 time: 2.2560 data_time: 0.1183 memory: 26633 grad_norm: 1.0233 loss: 1.5208 grounding_loss_reg: 5.1213 detection_loss_cls: 0.1033 detection_loss_reg: 0.5450 caption_loss_cls: 2.9575 instance_segmentation_loss_cls: 0.0642 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.8796 semantic_segmentation_loss_cls: 0.0174 2023/10/03 05:52:53 - mmengine - INFO - Iter(train) [ 68300/480000] base_lr: 1.9027e-04 lr: 5.0811e-05 eta: 10 days, 11:06:00 time: 2.2595 data_time: 0.1184 memory: 26633 grad_norm: 1.0255 loss: 1.5292 grounding_loss_reg: 5.1195 detection_loss_cls: 0.1036 detection_loss_reg: 0.5460 caption_loss_cls: 2.9603 instance_segmentation_loss_cls: 0.0643 instance_segmentation_loss_reg: 0.2670 instance_segmentation_loss_poly: 0.8814 semantic_segmentation_loss_cls: 0.0174 2023/10/03 05:56:43 - mmengine - INFO - Iter(train) [ 68400/480000] base_lr: 1.9024e-04 lr: 5.0804e-05 eta: 10 days, 11:22:46 time: 2.2594 data_time: 0.1184 memory: 26633 grad_norm: 1.0250 loss: 1.5239 grounding_loss_reg: 5.1179 detection_loss_cls: 0.1031 detection_loss_reg: 0.5443 caption_loss_cls: 2.9624 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.8801 semantic_segmentation_loss_cls: 0.0175 2023/10/03 06:00:45 - mmengine - INFO - Iter(train) [ 68500/480000] base_lr: 1.9022e-04 lr: 5.0797e-05 eta: 10 days, 12:02:24 time: 2.2533 data_time: 0.1184 memory: 26633 grad_norm: 1.0292 loss: 1.5283 grounding_loss_reg: 5.1161 detection_loss_cls: 0.1025 detection_loss_reg: 0.5429 caption_loss_cls: 2.9628 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2664 instance_segmentation_loss_poly: 0.8800 semantic_segmentation_loss_cls: 0.0175 2023/10/03 06:00:45 - mmengine - INFO - Saving checkpoint at 68500 iterations 2023/10/03 06:05:24 - mmengine - INFO - Iter(train) [ 68600/480000] base_lr: 1.9019e-04 lr: 5.0790e-05 eta: 10 days, 13:50:08 time: 2.2438 data_time: 0.1175 memory: 26633 grad_norm: 1.0400 loss: 1.5384 grounding_loss_reg: 5.1122 detection_loss_cls: 0.1026 detection_loss_reg: 0.5428 caption_loss_cls: 2.9648 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2666 instance_segmentation_loss_poly: 0.8806 semantic_segmentation_loss_cls: 0.0175 2023/10/03 06:09:39 - mmengine - INFO - Iter(train) [ 68700/480000] base_lr: 1.9016e-04 lr: 5.0782e-05 eta: 10 days, 14:47:44 time: 2.2487 data_time: 0.1175 memory: 26633 grad_norm: 1.0338 loss: 1.5370 grounding_loss_reg: 5.1117 detection_loss_cls: 0.1026 detection_loss_reg: 0.5429 caption_loss_cls: 2.9650 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2667 instance_segmentation_loss_poly: 0.8812 semantic_segmentation_loss_cls: 0.0175 2023/10/03 06:14:02 - mmengine - INFO - Iter(train) [ 68800/480000] base_lr: 1.9013e-04 lr: 5.0775e-05 eta: 10 days, 15:56:28 time: 2.2518 data_time: 0.1176 memory: 26633 grad_norm: 1.0358 loss: 1.5390 grounding_loss_reg: 5.1112 detection_loss_cls: 0.1025 detection_loss_reg: 0.5424 caption_loss_cls: 2.9632 instance_segmentation_loss_cls: 0.0637 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.8812 semantic_segmentation_loss_cls: 0.0175 2023/10/03 06:17:48 - mmengine - INFO - Iter(train) [ 68900/480000] base_lr: 1.9010e-04 lr: 5.0768e-05 eta: 10 days, 15:55:33 time: 2.2429 data_time: 0.1175 memory: 26633 grad_norm: 1.0421 loss: 1.5394 grounding_loss_reg: 5.1092 detection_loss_cls: 0.1025 detection_loss_reg: 0.5430 caption_loss_cls: 2.9619 instance_segmentation_loss_cls: 0.0636 instance_segmentation_loss_reg: 0.2666 instance_segmentation_loss_poly: 0.8800 semantic_segmentation_loss_cls: 0.0175 2023/10/03 06:21:49 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_032556 2023/10/03 06:21:49 - mmengine - INFO - Iter(train) [ 69000/480000] base_lr: 1.9008e-04 lr: 5.0760e-05 eta: 10 days, 16:20:47 time: 2.2454 data_time: 0.1175 memory: 26633 grad_norm: 1.0411 loss: 1.5342 grounding_loss_reg: 5.1081 detection_loss_cls: 0.1026 detection_loss_reg: 0.5436 caption_loss_cls: 2.9592 instance_segmentation_loss_cls: 0.0635 instance_segmentation_loss_reg: 0.2661 instance_segmentation_loss_poly: 0.8791 semantic_segmentation_loss_cls: 0.0174 2023/10/03 06:21:49 - mmengine - INFO - Saving checkpoint at 69000 iterations 2023/10/03 06:26:48 - mmengine - INFO - Iter(train) [ 69100/480000] base_lr: 1.9005e-04 lr: 5.0753e-05 eta: 10 days, 18:22:06 time: 2.2820 data_time: 0.1332 memory: 26633 grad_norm: 1.0386 loss: 1.5377 grounding_loss_reg: 5.1071 detection_loss_cls: 0.1027 detection_loss_reg: 0.5450 caption_loss_cls: 2.9653 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.8813 semantic_segmentation_loss_cls: 0.0174 2023/10/03 06:30:59 - mmengine - INFO - Iter(train) [ 69200/480000] base_lr: 1.9002e-04 lr: 5.0746e-05 eta: 10 days, 18:57:45 time: 2.3064 data_time: 0.1333 memory: 26633 grad_norm: 1.0368 loss: 1.5375 grounding_loss_reg: 5.1055 detection_loss_cls: 0.1032 detection_loss_reg: 0.5458 caption_loss_cls: 2.9614 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.8818 semantic_segmentation_loss_cls: 0.0174 2023/10/03 06:34:44 - mmengine - INFO - Iter(train) [ 69300/480000] base_lr: 1.8999e-04 lr: 5.0738e-05 eta: 10 days, 18:50:29 time: 2.3217 data_time: 0.1332 memory: 25793 grad_norm: 1.0367 loss: 1.5397 grounding_loss_reg: 5.1038 detection_loss_cls: 0.1032 detection_loss_reg: 0.5458 caption_loss_cls: 2.9636 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.8817 semantic_segmentation_loss_cls: 0.0173 2023/10/03 06:38:39 - mmengine - INFO - Iter(train) [ 69400/480000] base_lr: 1.8996e-04 lr: 5.0731e-05 eta: 10 days, 18:59:37 time: 2.3383 data_time: 0.1332 memory: 26633 grad_norm: 1.0359 loss: 1.5372 grounding_loss_reg: 5.1035 detection_loss_cls: 0.1032 detection_loss_reg: 0.5461 caption_loss_cls: 2.9668 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.8806 semantic_segmentation_loss_cls: 0.0173 2023/10/03 06:42:34 - mmengine - INFO - Iter(train) [ 69500/480000] base_lr: 1.8993e-04 lr: 5.0724e-05 eta: 10 days, 19:07:56 time: 2.3481 data_time: 0.1331 memory: 26633 grad_norm: 1.0389 loss: 1.5408 grounding_loss_reg: 5.1012 detection_loss_cls: 0.1035 detection_loss_reg: 0.5486 caption_loss_cls: 2.9618 instance_segmentation_loss_cls: 0.0640 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.8813 semantic_segmentation_loss_cls: 0.0173 2023/10/03 06:42:34 - mmengine - INFO - Saving checkpoint at 69500 iterations 2023/10/03 06:47:42 - mmengine - INFO - Iter(train) [ 69600/480000] base_lr: 1.8991e-04 lr: 5.0716e-05 eta: 10 days, 21:04:50 time: 2.3671 data_time: 0.1331 memory: 26633 grad_norm: 1.0369 loss: 1.5422 grounding_loss_reg: 5.0995 detection_loss_cls: 0.1038 detection_loss_reg: 0.5497 caption_loss_cls: 2.9619 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2675 instance_segmentation_loss_poly: 0.8825 semantic_segmentation_loss_cls: 0.0172 2023/10/03 06:51:51 - mmengine - INFO - Iter(train) [ 69700/480000] base_lr: 1.8988e-04 lr: 5.0709e-05 eta: 10 days, 21:30:03 time: 2.3825 data_time: 0.1332 memory: 26633 grad_norm: 1.0370 loss: 1.5432 grounding_loss_reg: 5.0992 detection_loss_cls: 0.1041 detection_loss_reg: 0.5518 caption_loss_cls: 2.9594 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.8821 semantic_segmentation_loss_cls: 0.0172 2023/10/03 06:56:29 - mmengine - INFO - Iter(train) [ 69800/480000] base_lr: 1.8985e-04 lr: 5.0701e-05 eta: 10 days, 22:34:44 time: 2.4035 data_time: 0.1332 memory: 26633 grad_norm: 1.0389 loss: 1.5441 grounding_loss_reg: 5.0980 detection_loss_cls: 0.1046 detection_loss_reg: 0.5547 caption_loss_cls: 2.9525 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2675 instance_segmentation_loss_poly: 0.8808 semantic_segmentation_loss_cls: 0.0172 2023/10/03 07:00:09 - mmengine - INFO - Iter(train) [ 69900/480000] base_lr: 1.8982e-04 lr: 5.0694e-05 eta: 10 days, 22:15:58 time: 2.4072 data_time: 0.1332 memory: 25793 grad_norm: 1.0402 loss: 1.5430 grounding_loss_reg: 5.0975 detection_loss_cls: 0.1044 detection_loss_reg: 0.5529 caption_loss_cls: 2.9480 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.8812 semantic_segmentation_loss_cls: 0.0172 2023/10/03 07:03:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_032556 2023/10/03 07:03:53 - mmengine - INFO - Iter(train) [ 70000/480000] base_lr: 1.8979e-04 lr: 5.0686e-05 eta: 10 days, 22:03:56 time: 2.4154 data_time: 0.1331 memory: 26633 grad_norm: 1.0389 loss: 1.5408 grounding_loss_reg: 5.0963 detection_loss_cls: 0.1042 detection_loss_reg: 0.5510 caption_loss_cls: 2.9528 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.8791 semantic_segmentation_loss_cls: 0.0172 2023/10/03 07:03:53 - mmengine - INFO - Saving checkpoint at 70000 iterations 2023/10/03 07:09:09 - mmengine - INFO - Iter(train) [ 70100/480000] base_lr: 1.8976e-04 lr: 5.0679e-05 eta: 10 days, 23:54:36 time: 2.4259 data_time: 0.1332 memory: 26633 grad_norm: 1.0383 loss: 1.5398 grounding_loss_reg: 5.0956 detection_loss_cls: 0.1042 detection_loss_reg: 0.5511 caption_loss_cls: 2.9501 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.8784 semantic_segmentation_loss_cls: 0.0172 2023/10/03 07:13:19 - mmengine - INFO - Iter(train) [ 70200/480000] base_lr: 1.8973e-04 lr: 5.0672e-05 eta: 11 days, 0:15:01 time: 2.4426 data_time: 0.1332 memory: 26633 grad_norm: 1.0392 loss: 1.5467 grounding_loss_reg: 5.0944 detection_loss_cls: 0.1043 detection_loss_reg: 0.5528 caption_loss_cls: 2.9570 instance_segmentation_loss_cls: 0.0637 instance_segmentation_loss_reg: 0.2667 instance_segmentation_loss_poly: 0.8793 semantic_segmentation_loss_cls: 0.0171 2023/10/03 07:17:39 - mmengine - INFO - Iter(train) [ 70300/480000] base_lr: 1.8970e-04 lr: 5.0664e-05 eta: 11 days, 0:46:54 time: 2.4532 data_time: 0.1332 memory: 26633 grad_norm: 1.0400 loss: 1.5397 grounding_loss_reg: 5.0923 detection_loss_cls: 0.1041 detection_loss_reg: 0.5518 caption_loss_cls: 2.9607 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.8809 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:21:40 - mmengine - INFO - Iter(train) [ 70400/480000] base_lr: 1.8968e-04 lr: 5.0657e-05 eta: 11 days, 0:54:26 time: 2.4622 data_time: 0.1332 memory: 26633 grad_norm: 1.0371 loss: 1.5357 grounding_loss_reg: 5.0909 detection_loss_cls: 0.1039 detection_loss_reg: 0.5516 caption_loss_cls: 2.9566 instance_segmentation_loss_cls: 0.0638 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.8808 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:26:22 - mmengine - INFO - Iter(train) [ 70500/480000] base_lr: 1.8965e-04 lr: 5.0649e-05 eta: 11 days, 1:50:49 time: 2.4804 data_time: 0.1332 memory: 26633 grad_norm: 1.0320 loss: 1.5337 grounding_loss_reg: 5.0903 detection_loss_cls: 0.1034 detection_loss_reg: 0.5493 caption_loss_cls: 2.9588 instance_segmentation_loss_cls: 0.0637 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.8782 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:26:22 - mmengine - INFO - Saving checkpoint at 70500 iterations 2023/10/03 07:31:53 - mmengine - INFO - Iter(train) [ 70600/480000] base_lr: 1.8962e-04 lr: 5.0642e-05 eta: 11 days, 3:46:04 time: 2.4990 data_time: 0.1331 memory: 26633 grad_norm: 1.0296 loss: 1.5284 grounding_loss_reg: 5.0884 detection_loss_cls: 0.1033 detection_loss_reg: 0.5494 caption_loss_cls: 2.9569 instance_segmentation_loss_cls: 0.0635 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.8772 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:35:52 - mmengine - INFO - Iter(train) [ 70700/480000] base_lr: 1.8959e-04 lr: 5.0634e-05 eta: 11 days, 3:45:25 time: 2.5058 data_time: 0.1331 memory: 26633 grad_norm: 1.0292 loss: 1.5208 grounding_loss_reg: 5.0879 detection_loss_cls: 0.1034 detection_loss_reg: 0.5496 caption_loss_cls: 2.9564 instance_segmentation_loss_cls: 0.0632 instance_segmentation_loss_reg: 0.2646 instance_segmentation_loss_poly: 0.8737 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:40:07 - mmengine - INFO - Iter(train) [ 70800/480000] base_lr: 1.8956e-04 lr: 5.0627e-05 eta: 11 days, 4:05:03 time: 2.5175 data_time: 0.1331 memory: 25793 grad_norm: 1.0291 loss: 1.5162 grounding_loss_reg: 5.0860 detection_loss_cls: 0.1030 detection_loss_reg: 0.5476 caption_loss_cls: 2.9524 instance_segmentation_loss_cls: 0.0630 instance_segmentation_loss_reg: 0.2641 instance_segmentation_loss_poly: 0.8727 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:44:32 - mmengine - INFO - Iter(train) [ 70900/480000] base_lr: 1.8953e-04 lr: 5.0619e-05 eta: 11 days, 4:35:09 time: 2.5290 data_time: 0.1330 memory: 25793 grad_norm: 1.0276 loss: 1.5055 grounding_loss_reg: 5.0847 detection_loss_cls: 0.1027 detection_loss_reg: 0.5470 caption_loss_cls: 2.9494 instance_segmentation_loss_cls: 0.0629 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.8730 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:48:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_032556 2023/10/03 07:48:25 - mmengine - INFO - Iter(train) [ 71000/480000] base_lr: 1.8950e-04 lr: 5.0612e-05 eta: 11 days, 4:27:26 time: 2.5374 data_time: 0.1331 memory: 26633 grad_norm: 1.0291 loss: 1.5117 grounding_loss_reg: 5.0822 detection_loss_cls: 0.1026 detection_loss_reg: 0.5470 caption_loss_cls: 2.9523 instance_segmentation_loss_cls: 0.0629 instance_segmentation_loss_reg: 0.2644 instance_segmentation_loss_poly: 0.8746 semantic_segmentation_loss_cls: 0.0168 2023/10/03 07:48:26 - mmengine - INFO - Saving checkpoint at 71000 iterations 2023/10/03 07:53:18 - mmengine - INFO - Iter(train) [ 71100/480000] base_lr: 1.8947e-04 lr: 5.0604e-05 eta: 11 days, 5:26:20 time: 2.5417 data_time: 0.1333 memory: 26633 grad_norm: 1.0284 loss: 1.5130 grounding_loss_reg: 5.0806 detection_loss_cls: 0.1029 detection_loss_reg: 0.5481 caption_loss_cls: 2.9522 instance_segmentation_loss_cls: 0.0628 instance_segmentation_loss_reg: 0.2644 instance_segmentation_loss_poly: 0.8745 semantic_segmentation_loss_cls: 0.0169 2023/10/03 07:57:32 - mmengine - INFO - Iter(train) [ 71200/480000] base_lr: 1.8944e-04 lr: 5.0597e-05 eta: 11 days, 5:40:50 time: 2.5479 data_time: 0.1332 memory: 26633 grad_norm: 1.0243 loss: 1.5116 grounding_loss_reg: 5.0797 detection_loss_cls: 0.1034 detection_loss_reg: 0.5498 caption_loss_cls: 2.9583 instance_segmentation_loss_cls: 0.0627 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.8738 semantic_segmentation_loss_cls: 0.0169 2023/10/03 08:01:54 - mmengine - INFO - Iter(train) [ 71300/480000] base_lr: 1.8941e-04 lr: 5.0589e-05 eta: 11 days, 6:03:40 time: 2.5567 data_time: 0.1332 memory: 26633 grad_norm: 1.0252 loss: 1.5102 grounding_loss_reg: 5.0776 detection_loss_cls: 0.1036 detection_loss_reg: 0.5506 caption_loss_cls: 2.9609 instance_segmentation_loss_cls: 0.0630 instance_segmentation_loss_reg: 0.2644 instance_segmentation_loss_poly: 0.8745 semantic_segmentation_loss_cls: 0.0169 2023/10/03 08:05:40 - mmengine - INFO - Iter(train) [ 71400/480000] base_lr: 1.8939e-04 lr: 5.0581e-05 eta: 11 days, 5:46:40 time: 2.5622 data_time: 0.1332 memory: 26633 grad_norm: 1.0235 loss: 1.5064 grounding_loss_reg: 5.0768 detection_loss_cls: 0.1035 detection_loss_reg: 0.5498 caption_loss_cls: 2.9553 instance_segmentation_loss_cls: 0.0630 instance_segmentation_loss_reg: 0.2643 instance_segmentation_loss_poly: 0.8739 semantic_segmentation_loss_cls: 0.0169 2023/10/03 08:10:02 - mmengine - INFO - Iter(train) [ 71500/480000] base_lr: 1.8936e-04 lr: 5.0574e-05 eta: 11 days, 6:08:06 time: 2.5682 data_time: 0.1333 memory: 25793 grad_norm: 1.0192 loss: 1.5013 grounding_loss_reg: 5.0765 detection_loss_cls: 0.1032 detection_loss_reg: 0.5490 caption_loss_cls: 2.9537 instance_segmentation_loss_cls: 0.0631 instance_segmentation_loss_reg: 0.2649 instance_segmentation_loss_poly: 0.8757 semantic_segmentation_loss_cls: 0.0169 2023/10/03 08:10:02 - mmengine - INFO - Saving checkpoint at 71500 iterations 2023/10/03 08:14:58 - mmengine - INFO - Iter(train) [ 71600/480000] base_lr: 1.8933e-04 lr: 5.0566e-05 eta: 11 days, 7:03:45 time: 2.5705 data_time: 0.1330 memory: 26633 grad_norm: 1.0225 loss: 1.5064 grounding_loss_reg: 5.0746 detection_loss_cls: 0.1032 detection_loss_reg: 0.5493 caption_loss_cls: 2.9566 instance_segmentation_loss_cls: 0.0632 instance_segmentation_loss_reg: 0.2653 instance_segmentation_loss_poly: 0.8762 semantic_segmentation_loss_cls: 0.0169 2023/10/03 08:18:55 - mmengine - INFO - Iter(train) [ 71700/480000] base_lr: 1.8930e-04 lr: 5.0559e-05 eta: 11 days, 6:57:54 time: 2.5646 data_time: 0.1330 memory: 25793 grad_norm: 1.0203 loss: 1.4950 grounding_loss_reg: 5.0712 detection_loss_cls: 0.1029 detection_loss_reg: 0.5461 caption_loss_cls: 2.9575 instance_segmentation_loss_cls: 0.0631 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.8755 semantic_segmentation_loss_cls: 0.0169 2023/10/03 08:22:42 - mmengine - INFO - Iter(train) [ 71800/480000] base_lr: 1.8927e-04 lr: 5.0551e-05 eta: 11 days, 6:42:24 time: 2.5665 data_time: 0.1330 memory: 25793 grad_norm: 1.0132 loss: 1.4842 grounding_loss_reg: 5.0702 detection_loss_cls: 0.1030 detection_loss_reg: 0.5467 caption_loss_cls: 2.9588 instance_segmentation_loss_cls: 0.0630 instance_segmentation_loss_reg: 0.2650 instance_segmentation_loss_poly: 0.8745 semantic_segmentation_loss_cls: 0.0169 2023/10/03 09:03:21 - mmengine - INFO - Iter(train) [ 71900/480000] base_lr: 1.8924e-04 lr: 5.0544e-05 eta: 7 days, 16:36:08 time: 2.4817 data_time: 0.1178 memory: 26556 grad_norm: 1.0232 loss: 1.4941 grounding_loss_reg: 5.0640 detection_loss_cls: 0.1026 detection_loss_reg: 0.5461 caption_loss_cls: 2.9620 instance_segmentation_loss_cls: 0.0629 instance_segmentation_loss_reg: 0.2647 instance_segmentation_loss_poly: 0.8733 semantic_segmentation_loss_cls: 0.0168 2023/10/03 09:06:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 09:06:27 - mmengine - INFO - Iter(train) [ 72000/480000] base_lr: 1.8921e-04 lr: 5.0536e-05 eta: 7 days, 21:50:19 time: 2.4689 data_time: 0.1179 memory: 26556 grad_norm: 1.0239 loss: 1.4867 grounding_loss_reg: 5.0628 detection_loss_cls: 0.1025 detection_loss_reg: 0.5456 caption_loss_cls: 2.9597 instance_segmentation_loss_cls: 0.0629 instance_segmentation_loss_reg: 0.2646 instance_segmentation_loss_poly: 0.8724 semantic_segmentation_loss_cls: 0.0168 2023/10/03 09:06:27 - mmengine - INFO - Saving checkpoint at 72000 iterations 2023/10/03 09:10:33 - mmengine - INFO - Iter(train) [ 72100/480000] base_lr: 1.8918e-04 lr: 5.0528e-05 eta: 8 days, 12:31:16 time: 2.4518 data_time: 0.1179 memory: 26556 grad_norm: 1.0206 loss: 1.4892 grounding_loss_reg: 5.0620 detection_loss_cls: 0.1023 detection_loss_reg: 0.5465 caption_loss_cls: 2.9563 instance_segmentation_loss_cls: 0.0625 instance_segmentation_loss_reg: 0.2639 instance_segmentation_loss_poly: 0.8717 semantic_segmentation_loss_cls: 0.0168 2023/10/03 09:13:43 - mmengine - INFO - Iter(train) [ 72200/480000] base_lr: 1.8915e-04 lr: 5.0521e-05 eta: 8 days, 14:01:26 time: 2.4418 data_time: 0.1179 memory: 26556 grad_norm: 1.0158 loss: 1.4806 grounding_loss_reg: 5.0595 detection_loss_cls: 0.1022 detection_loss_reg: 0.5472 caption_loss_cls: 2.9545 instance_segmentation_loss_cls: 0.0624 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.8698 semantic_segmentation_loss_cls: 0.0168 2023/10/03 09:17:15 - mmengine - INFO - Iter(train) [ 72300/480000] base_lr: 1.8912e-04 lr: 5.0513e-05 eta: 8 days, 18:15:57 time: 2.4284 data_time: 0.1178 memory: 26556 grad_norm: 1.0151 loss: 1.4703 grounding_loss_reg: 5.0586 detection_loss_cls: 0.1018 detection_loss_reg: 0.5459 caption_loss_cls: 2.9491 instance_segmentation_loss_cls: 0.0624 instance_segmentation_loss_reg: 0.2633 instance_segmentation_loss_poly: 0.8696 semantic_segmentation_loss_cls: 0.0168 2023/10/03 09:20:51 - mmengine - INFO - Iter(train) [ 72400/480000] base_lr: 1.8909e-04 lr: 5.0505e-05 eta: 8 days, 21:58:15 time: 2.4249 data_time: 0.1178 memory: 26556 grad_norm: 1.0172 loss: 1.4717 grounding_loss_reg: 5.0565 detection_loss_cls: 0.1022 detection_loss_reg: 0.5476 caption_loss_cls: 2.9461 instance_segmentation_loss_cls: 0.0622 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.8675 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:24:12 - mmengine - INFO - Iter(train) [ 72500/480000] base_lr: 1.8906e-04 lr: 5.0498e-05 eta: 8 days, 23:15:10 time: 2.4146 data_time: 0.1178 memory: 26556 grad_norm: 1.0197 loss: 1.4777 grounding_loss_reg: 5.0545 detection_loss_cls: 0.1024 detection_loss_reg: 0.5499 caption_loss_cls: 2.9428 instance_segmentation_loss_cls: 0.0624 instance_segmentation_loss_reg: 0.2624 instance_segmentation_loss_poly: 0.8687 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:24:12 - mmengine - INFO - Saving checkpoint at 72500 iterations 2023/10/03 09:28:55 - mmengine - INFO - Iter(train) [ 72600/480000] base_lr: 1.8903e-04 lr: 5.0490e-05 eta: 9 days, 8:46:09 time: 2.4156 data_time: 0.1183 memory: 26556 grad_norm: 1.0139 loss: 1.4746 grounding_loss_reg: 5.0529 detection_loss_cls: 0.1020 detection_loss_reg: 0.5485 caption_loss_cls: 2.9419 instance_segmentation_loss_cls: 0.0624 instance_segmentation_loss_reg: 0.2634 instance_segmentation_loss_poly: 0.8713 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:32:14 - mmengine - INFO - Iter(train) [ 72700/480000] base_lr: 1.8900e-04 lr: 5.0482e-05 eta: 9 days, 8:48:54 time: 2.4017 data_time: 0.1182 memory: 25717 grad_norm: 1.0189 loss: 1.4751 grounding_loss_reg: 5.0520 detection_loss_cls: 0.1020 detection_loss_reg: 0.5486 caption_loss_cls: 2.9365 instance_segmentation_loss_cls: 0.0624 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.8719 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:35:46 - mmengine - INFO - Iter(train) [ 72800/480000] base_lr: 1.8897e-04 lr: 5.0475e-05 eta: 9 days, 9:50:03 time: 2.3887 data_time: 0.1182 memory: 26556 grad_norm: 1.0158 loss: 1.4719 grounding_loss_reg: 5.0505 detection_loss_cls: 0.1024 detection_loss_reg: 0.5500 caption_loss_cls: 2.9398 instance_segmentation_loss_cls: 0.0624 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.8699 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:39:22 - mmengine - INFO - Iter(train) [ 72900/480000] base_lr: 1.8894e-04 lr: 5.0467e-05 eta: 9 days, 11:09:40 time: 2.3865 data_time: 0.1182 memory: 26556 grad_norm: 1.0156 loss: 1.4718 grounding_loss_reg: 5.0487 detection_loss_cls: 0.1024 detection_loss_reg: 0.5514 caption_loss_cls: 2.9350 instance_segmentation_loss_cls: 0.0621 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.8692 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:43:12 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 09:43:12 - mmengine - INFO - Iter(train) [ 73000/480000] base_lr: 1.8891e-04 lr: 5.0459e-05 eta: 9 days, 13:18:19 time: 2.3837 data_time: 0.1182 memory: 26556 grad_norm: 1.0161 loss: 1.4713 grounding_loss_reg: 5.0478 detection_loss_cls: 0.1025 detection_loss_reg: 0.5519 caption_loss_cls: 2.9323 instance_segmentation_loss_cls: 0.0621 instance_segmentation_loss_reg: 0.2623 instance_segmentation_loss_poly: 0.8682 semantic_segmentation_loss_cls: 0.0166 2023/10/03 09:43:12 - mmengine - INFO - Saving checkpoint at 73000 iterations 2023/10/03 09:47:30 - mmengine - INFO - Iter(train) [ 73100/480000] base_lr: 1.8888e-04 lr: 5.0451e-05 eta: 9 days, 17:07:16 time: 2.3733 data_time: 0.1173 memory: 26556 grad_norm: 1.0125 loss: 1.4576 grounding_loss_reg: 5.0474 detection_loss_cls: 0.1023 detection_loss_reg: 0.5506 caption_loss_cls: 2.9311 instance_segmentation_loss_cls: 0.0621 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.8664 semantic_segmentation_loss_cls: 0.0166 2023/10/03 09:51:19 - mmengine - INFO - Iter(train) [ 73200/480000] base_lr: 1.8885e-04 lr: 5.0444e-05 eta: 9 days, 18:35:46 time: 2.3680 data_time: 0.1173 memory: 26556 grad_norm: 1.0147 loss: 1.4563 grounding_loss_reg: 5.0456 detection_loss_cls: 0.1022 detection_loss_reg: 0.5502 caption_loss_cls: 2.9267 instance_segmentation_loss_cls: 0.0622 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.8669 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:55:01 - mmengine - INFO - Iter(train) [ 73300/480000] base_lr: 1.8882e-04 lr: 5.0436e-05 eta: 9 days, 19:23:24 time: 2.3671 data_time: 0.1173 memory: 26556 grad_norm: 1.0115 loss: 1.4518 grounding_loss_reg: 5.0445 detection_loss_cls: 0.1022 detection_loss_reg: 0.5511 caption_loss_cls: 2.9252 instance_segmentation_loss_cls: 0.0619 instance_segmentation_loss_reg: 0.2617 instance_segmentation_loss_poly: 0.8668 semantic_segmentation_loss_cls: 0.0167 2023/10/03 09:58:57 - mmengine - INFO - Iter(train) [ 73400/480000] base_lr: 1.8879e-04 lr: 5.0428e-05 eta: 9 days, 20:58:45 time: 2.3673 data_time: 0.1174 memory: 26556 grad_norm: 1.0103 loss: 1.4499 grounding_loss_reg: 5.0432 detection_loss_cls: 0.1021 detection_loss_reg: 0.5495 caption_loss_cls: 2.9249 instance_segmentation_loss_cls: 0.0618 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.8677 semantic_segmentation_loss_cls: 0.0167 2023/10/03 10:02:26 - mmengine - INFO - Iter(train) [ 73500/480000] base_lr: 1.8876e-04 lr: 5.0420e-05 eta: 9 days, 20:54:12 time: 2.3609 data_time: 0.1174 memory: 26556 grad_norm: 1.0056 loss: 1.4481 grounding_loss_reg: 5.0414 detection_loss_cls: 0.1021 detection_loss_reg: 0.5493 caption_loss_cls: 2.9305 instance_segmentation_loss_cls: 0.0616 instance_segmentation_loss_reg: 0.2617 instance_segmentation_loss_poly: 0.8670 semantic_segmentation_loss_cls: 0.0167 2023/10/03 10:02:26 - mmengine - INFO - Saving checkpoint at 73500 iterations 2023/10/03 10:07:05 - mmengine - INFO - Iter(train) [ 73600/480000] base_lr: 1.8873e-04 lr: 5.0413e-05 eta: 10 days, 0:32:54 time: 2.3535 data_time: 0.1173 memory: 26556 grad_norm: 1.0051 loss: 1.4431 grounding_loss_reg: 5.0417 detection_loss_cls: 0.1018 detection_loss_reg: 0.5486 caption_loss_cls: 2.9272 instance_segmentation_loss_cls: 0.0616 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.8669 semantic_segmentation_loss_cls: 0.0167 2023/10/03 10:10:55 - mmengine - INFO - Iter(train) [ 73700/480000] base_lr: 1.8870e-04 lr: 5.0405e-05 eta: 10 days, 1:21:19 time: 2.3487 data_time: 0.1173 memory: 26556 grad_norm: 1.0095 loss: 1.4462 grounding_loss_reg: 5.0393 detection_loss_cls: 0.1018 detection_loss_reg: 0.5483 caption_loss_cls: 2.9262 instance_segmentation_loss_cls: 0.0613 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.8633 semantic_segmentation_loss_cls: 0.0167 2023/10/03 10:14:49 - mmengine - INFO - Iter(train) [ 73800/480000] base_lr: 1.8867e-04 lr: 5.0397e-05 eta: 10 days, 2:18:47 time: 2.3380 data_time: 0.1172 memory: 25717 grad_norm: 1.0086 loss: 1.4451 grounding_loss_reg: 5.0375 detection_loss_cls: 0.1017 detection_loss_reg: 0.5463 caption_loss_cls: 2.9239 instance_segmentation_loss_cls: 0.0611 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.8632 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:18:06 - mmengine - INFO - Iter(train) [ 73900/480000] base_lr: 1.8864e-04 lr: 5.0389e-05 eta: 10 days, 1:23:29 time: 2.3322 data_time: 0.1172 memory: 25717 grad_norm: 1.0128 loss: 1.4555 grounding_loss_reg: 5.0362 detection_loss_cls: 0.1020 detection_loss_reg: 0.5472 caption_loss_cls: 2.9234 instance_segmentation_loss_cls: 0.0611 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.8641 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:22:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 10:22:04 - mmengine - INFO - Iter(train) [ 74000/480000] base_lr: 1.8861e-04 lr: 5.0381e-05 eta: 10 days, 2:25:51 time: 2.3357 data_time: 0.1173 memory: 25717 grad_norm: 1.0097 loss: 1.4516 grounding_loss_reg: 5.0361 detection_loss_cls: 0.1024 detection_loss_reg: 0.5473 caption_loss_cls: 2.9227 instance_segmentation_loss_cls: 0.0610 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.8633 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:22:04 - mmengine - INFO - Saving checkpoint at 74000 iterations 2023/10/03 10:26:44 - mmengine - INFO - Iter(train) [ 74100/480000] base_lr: 1.8858e-04 lr: 5.0374e-05 eta: 10 days, 5:10:51 time: 2.3268 data_time: 0.1173 memory: 26556 grad_norm: 1.0126 loss: 1.4562 grounding_loss_reg: 5.0341 detection_loss_cls: 0.1027 detection_loss_reg: 0.5474 caption_loss_cls: 2.9230 instance_segmentation_loss_cls: 0.0608 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.8613 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:30:58 - mmengine - INFO - Iter(train) [ 74200/480000] base_lr: 1.8855e-04 lr: 5.0366e-05 eta: 10 days, 6:39:38 time: 2.3278 data_time: 0.1174 memory: 26556 grad_norm: 1.0108 loss: 1.4534 grounding_loss_reg: 5.0341 detection_loss_cls: 0.1030 detection_loss_reg: 0.5480 caption_loss_cls: 2.9270 instance_segmentation_loss_cls: 0.0610 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.8610 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:34:45 - mmengine - INFO - Iter(train) [ 74300/480000] base_lr: 1.8852e-04 lr: 5.0358e-05 eta: 10 days, 6:53:52 time: 2.3194 data_time: 0.1173 memory: 26556 grad_norm: 1.0175 loss: 1.4580 grounding_loss_reg: 5.0315 detection_loss_cls: 0.1030 detection_loss_reg: 0.5481 caption_loss_cls: 2.9247 instance_segmentation_loss_cls: 0.0610 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8607 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:38:45 - mmengine - INFO - Iter(train) [ 74400/480000] base_lr: 1.8849e-04 lr: 5.0350e-05 eta: 10 days, 7:38:38 time: 2.3189 data_time: 0.1173 memory: 26556 grad_norm: 1.0155 loss: 1.4531 grounding_loss_reg: 5.0291 detection_loss_cls: 0.1029 detection_loss_reg: 0.5475 caption_loss_cls: 2.9222 instance_segmentation_loss_cls: 0.0611 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.8615 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:43:02 - mmengine - INFO - Iter(train) [ 74500/480000] base_lr: 1.8846e-04 lr: 5.0342e-05 eta: 10 days, 9:00:23 time: 2.3130 data_time: 0.1173 memory: 26556 grad_norm: 1.0197 loss: 1.4572 grounding_loss_reg: 5.0270 detection_loss_cls: 0.1030 detection_loss_reg: 0.5480 caption_loss_cls: 2.9199 instance_segmentation_loss_cls: 0.0612 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.8620 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:43:02 - mmengine - INFO - Saving checkpoint at 74500 iterations 2023/10/03 10:48:26 - mmengine - INFO - Iter(train) [ 74600/480000] base_lr: 1.8843e-04 lr: 5.0334e-05 eta: 10 days, 12:40:11 time: 2.3110 data_time: 0.1172 memory: 26556 grad_norm: 1.0271 loss: 1.4664 grounding_loss_reg: 5.0233 detection_loss_cls: 0.1029 detection_loss_reg: 0.5472 caption_loss_cls: 2.9182 instance_segmentation_loss_cls: 0.0610 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.8606 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:52:30 - mmengine - INFO - Iter(train) [ 74700/480000] base_lr: 1.8840e-04 lr: 5.0326e-05 eta: 10 days, 13:17:07 time: 2.3124 data_time: 0.1172 memory: 26556 grad_norm: 1.0268 loss: 1.4686 grounding_loss_reg: 5.0207 detection_loss_cls: 0.1029 detection_loss_reg: 0.5470 caption_loss_cls: 2.9232 instance_segmentation_loss_cls: 0.0608 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8599 semantic_segmentation_loss_cls: 0.0166 2023/10/03 10:56:57 - mmengine - INFO - Iter(train) [ 74800/480000] base_lr: 1.8837e-04 lr: 5.0319e-05 eta: 10 days, 14:39:38 time: 2.3153 data_time: 0.1173 memory: 26556 grad_norm: 1.0298 loss: 1.4720 grounding_loss_reg: 5.0200 detection_loss_cls: 0.1028 detection_loss_reg: 0.5457 caption_loss_cls: 2.9215 instance_segmentation_loss_cls: 0.0607 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.8596 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:00:48 - mmengine - INFO - Iter(train) [ 74900/480000] base_lr: 1.8834e-04 lr: 5.0311e-05 eta: 10 days, 14:46:51 time: 2.3069 data_time: 0.1173 memory: 26556 grad_norm: 1.0333 loss: 1.4800 grounding_loss_reg: 5.0189 detection_loss_cls: 0.1025 detection_loss_reg: 0.5446 caption_loss_cls: 2.9207 instance_segmentation_loss_cls: 0.0604 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8564 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:04:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 11:04:50 - mmengine - INFO - Iter(train) [ 75000/480000] base_lr: 1.8831e-04 lr: 5.0303e-05 eta: 10 days, 15:12:03 time: 2.3090 data_time: 0.1173 memory: 26556 grad_norm: 1.0310 loss: 1.4745 grounding_loss_reg: 5.0173 detection_loss_cls: 0.1020 detection_loss_reg: 0.5447 caption_loss_cls: 2.9242 instance_segmentation_loss_cls: 0.0604 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.8570 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:04:50 - mmengine - INFO - Saving checkpoint at 75000 iterations 2023/10/03 11:09:35 - mmengine - INFO - Iter(train) [ 75100/480000] base_lr: 1.8828e-04 lr: 5.0295e-05 eta: 10 days, 16:58:16 time: 2.3072 data_time: 0.1177 memory: 26556 grad_norm: 1.0377 loss: 1.4854 grounding_loss_reg: 5.0159 detection_loss_cls: 0.1016 detection_loss_reg: 0.5431 caption_loss_cls: 2.9244 instance_segmentation_loss_cls: 0.0603 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8565 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:13:56 - mmengine - INFO - Iter(train) [ 75200/480000] base_lr: 1.8825e-04 lr: 5.0287e-05 eta: 10 days, 17:52:53 time: 2.3089 data_time: 0.1178 memory: 26556 grad_norm: 1.0388 loss: 1.4861 grounding_loss_reg: 5.0149 detection_loss_cls: 0.1020 detection_loss_reg: 0.5447 caption_loss_cls: 2.9253 instance_segmentation_loss_cls: 0.0604 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.8585 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:18:18 - mmengine - INFO - Iter(train) [ 75300/480000] base_lr: 1.8822e-04 lr: 5.0279e-05 eta: 10 days, 18:46:10 time: 2.3087 data_time: 0.1178 memory: 26556 grad_norm: 1.0360 loss: 1.4861 grounding_loss_reg: 5.0144 detection_loss_cls: 0.1021 detection_loss_reg: 0.5455 caption_loss_cls: 2.9335 instance_segmentation_loss_cls: 0.0602 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.8579 semantic_segmentation_loss_cls: 0.0167 2023/10/03 11:21:57 - mmengine - INFO - Iter(train) [ 75400/480000] base_lr: 1.8819e-04 lr: 5.0271e-05 eta: 10 days, 18:24:11 time: 2.3072 data_time: 0.1178 memory: 26556 grad_norm: 1.0361 loss: 1.4876 grounding_loss_reg: 5.0120 detection_loss_cls: 0.1020 detection_loss_reg: 0.5460 caption_loss_cls: 2.9356 instance_segmentation_loss_cls: 0.0601 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8571 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:26:14 - mmengine - INFO - Iter(train) [ 75500/480000] base_lr: 1.8816e-04 lr: 5.0263e-05 eta: 10 days, 19:05:16 time: 2.3059 data_time: 0.1178 memory: 26556 grad_norm: 1.0419 loss: 1.4885 grounding_loss_reg: 5.0112 detection_loss_cls: 0.1021 detection_loss_reg: 0.5461 caption_loss_cls: 2.9315 instance_segmentation_loss_cls: 0.0599 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8555 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:26:14 - mmengine - INFO - Saving checkpoint at 75500 iterations 2023/10/03 11:31:16 - mmengine - INFO - Iter(train) [ 75600/480000] base_lr: 1.8813e-04 lr: 5.0255e-05 eta: 10 days, 20:59:33 time: 2.3441 data_time: 0.1328 memory: 26556 grad_norm: 1.0982 loss: 1.4847 grounding_loss_reg: 5.0097 detection_loss_cls: 0.1021 detection_loss_reg: 0.5462 caption_loss_cls: 2.9316 instance_segmentation_loss_cls: 0.0599 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8554 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:35:36 - mmengine - INFO - Iter(train) [ 75700/480000] base_lr: 1.8810e-04 lr: 5.0247e-05 eta: 10 days, 21:39:13 time: 2.3695 data_time: 0.1329 memory: 26556 grad_norm: 1.0970 loss: 1.4872 grounding_loss_reg: 5.0089 detection_loss_cls: 0.1020 detection_loss_reg: 0.5455 caption_loss_cls: 2.9354 instance_segmentation_loss_cls: 0.0600 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.8557 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:39:28 - mmengine - INFO - Iter(train) [ 75800/480000] base_lr: 1.8806e-04 lr: 5.0239e-05 eta: 10 days, 21:34:36 time: 2.3873 data_time: 0.1328 memory: 26556 grad_norm: 1.0966 loss: 1.5001 grounding_loss_reg: 5.0074 detection_loss_cls: 0.1024 detection_loss_reg: 0.5473 caption_loss_cls: 2.9451 instance_segmentation_loss_cls: 0.0602 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.8559 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:43:16 - mmengine - INFO - Iter(train) [ 75900/480000] base_lr: 1.8803e-04 lr: 5.0231e-05 eta: 10 days, 21:22:33 time: 2.3985 data_time: 0.1328 memory: 26556 grad_norm: 1.0955 loss: 1.4958 grounding_loss_reg: 5.0059 detection_loss_cls: 0.1020 detection_loss_reg: 0.5461 caption_loss_cls: 2.9437 instance_segmentation_loss_cls: 0.0602 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.8559 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:47:12 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 11:47:12 - mmengine - INFO - Iter(train) [ 76000/480000] base_lr: 1.8800e-04 lr: 5.0223e-05 eta: 10 days, 21:23:53 time: 2.4111 data_time: 0.1328 memory: 26556 grad_norm: 1.0971 loss: 1.5009 grounding_loss_reg: 5.0057 detection_loss_cls: 0.1017 detection_loss_reg: 0.5450 caption_loss_cls: 2.9399 instance_segmentation_loss_cls: 0.0603 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.8571 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:47:12 - mmengine - INFO - Saving checkpoint at 76000 iterations 2023/10/03 11:52:12 - mmengine - INFO - Iter(train) [ 76100/480000] base_lr: 1.8797e-04 lr: 5.0215e-05 eta: 10 days, 22:57:31 time: 2.4246 data_time: 0.1325 memory: 26556 grad_norm: 1.0974 loss: 1.4942 grounding_loss_reg: 5.0054 detection_loss_cls: 0.1017 detection_loss_reg: 0.5440 caption_loss_cls: 2.9418 instance_segmentation_loss_cls: 0.0602 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.8567 semantic_segmentation_loss_cls: 0.0166 2023/10/03 11:56:31 - mmengine - INFO - Iter(train) [ 76200/480000] base_lr: 1.8794e-04 lr: 5.0207e-05 eta: 10 days, 23:28:20 time: 2.4417 data_time: 0.1326 memory: 26556 grad_norm: 1.0979 loss: 1.4982 grounding_loss_reg: 5.0047 detection_loss_cls: 0.1015 detection_loss_reg: 0.5437 caption_loss_cls: 2.9423 instance_segmentation_loss_cls: 0.0600 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.8566 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:01:04 - mmengine - INFO - Iter(train) [ 76300/480000] base_lr: 1.8791e-04 lr: 5.0199e-05 eta: 11 days, 0:18:19 time: 2.4570 data_time: 0.1327 memory: 26556 grad_norm: 1.0998 loss: 1.5046 grounding_loss_reg: 5.0026 detection_loss_cls: 0.1011 detection_loss_reg: 0.5425 caption_loss_cls: 2.9416 instance_segmentation_loss_cls: 0.0601 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.8552 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:04:44 - mmengine - INFO - Iter(train) [ 76400/480000] base_lr: 1.8788e-04 lr: 5.0191e-05 eta: 10 days, 23:52:17 time: 2.4580 data_time: 0.1326 memory: 25717 grad_norm: 1.0982 loss: 1.5029 grounding_loss_reg: 5.0016 detection_loss_cls: 0.1012 detection_loss_reg: 0.5436 caption_loss_cls: 2.9414 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8534 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:08:22 - mmengine - INFO - Iter(train) [ 76500/480000] base_lr: 1.8785e-04 lr: 5.0183e-05 eta: 10 days, 23:25:51 time: 2.4625 data_time: 0.1325 memory: 26556 grad_norm: 1.0972 loss: 1.4973 grounding_loss_reg: 5.0009 detection_loss_cls: 0.1015 detection_loss_reg: 0.5455 caption_loss_cls: 2.9348 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8516 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:08:22 - mmengine - INFO - Saving checkpoint at 76500 iterations 2023/10/03 12:13:49 - mmengine - INFO - Iter(train) [ 76600/480000] base_lr: 1.8782e-04 lr: 5.0175e-05 eta: 11 days, 1:22:16 time: 2.4733 data_time: 0.1323 memory: 26556 grad_norm: 1.0971 loss: 1.4934 grounding_loss_reg: 4.9998 detection_loss_cls: 0.1017 detection_loss_reg: 0.5469 caption_loss_cls: 2.9324 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2551 instance_segmentation_loss_poly: 0.8494 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:18:09 - mmengine - INFO - Iter(train) [ 76700/480000] base_lr: 1.8779e-04 lr: 5.0167e-05 eta: 11 days, 1:48:47 time: 2.4884 data_time: 0.1324 memory: 26556 grad_norm: 1.0977 loss: 1.4960 grounding_loss_reg: 4.9973 detection_loss_cls: 0.1015 detection_loss_reg: 0.5462 caption_loss_cls: 2.9318 instance_segmentation_loss_cls: 0.0596 instance_segmentation_loss_reg: 0.2559 instance_segmentation_loss_poly: 0.8519 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:22:39 - mmengine - INFO - Iter(train) [ 76800/480000] base_lr: 1.8775e-04 lr: 5.0159e-05 eta: 11 days, 2:26:10 time: 2.5031 data_time: 0.1324 memory: 26556 grad_norm: 1.0983 loss: 1.4912 grounding_loss_reg: 4.9958 detection_loss_cls: 0.1014 detection_loss_reg: 0.5467 caption_loss_cls: 2.9322 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.8530 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:26:44 - mmengine - INFO - Iter(train) [ 76900/480000] base_lr: 1.8772e-04 lr: 5.0151e-05 eta: 11 days, 2:31:09 time: 2.5102 data_time: 0.1324 memory: 26556 grad_norm: 1.0943 loss: 1.4895 grounding_loss_reg: 4.9953 detection_loss_cls: 0.1014 detection_loss_reg: 0.5473 caption_loss_cls: 2.9317 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8525 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:31:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 12:31:22 - mmengine - INFO - Iter(train) [ 77000/480000] base_lr: 1.8769e-04 lr: 5.0142e-05 eta: 11 days, 3:16:41 time: 2.5224 data_time: 0.1324 memory: 26556 grad_norm: 1.0913 loss: 1.4849 grounding_loss_reg: 4.9926 detection_loss_cls: 0.1013 detection_loss_reg: 0.5474 caption_loss_cls: 2.9308 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2549 instance_segmentation_loss_poly: 0.8480 semantic_segmentation_loss_cls: 0.0166 2023/10/03 12:31:22 - mmengine - INFO - Saving checkpoint at 77000 iterations 2023/10/03 12:36:47 - mmengine - INFO - Iter(train) [ 77100/480000] base_lr: 1.8766e-04 lr: 5.0134e-05 eta: 11 days, 4:55:05 time: 2.5390 data_time: 0.1326 memory: 26556 grad_norm: 1.0882 loss: 1.4771 grounding_loss_reg: 4.9912 detection_loss_cls: 0.1012 detection_loss_reg: 0.5457 caption_loss_cls: 2.9299 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8456 semantic_segmentation_loss_cls: 0.0162 2023/10/03 12:40:44 - mmengine - INFO - Iter(train) [ 77200/480000] base_lr: 1.8763e-04 lr: 5.0126e-05 eta: 11 days, 4:47:02 time: 2.5409 data_time: 0.1326 memory: 26556 grad_norm: 1.0884 loss: 1.4858 grounding_loss_reg: 4.9901 detection_loss_cls: 0.1010 detection_loss_reg: 0.5449 caption_loss_cls: 2.9359 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2539 instance_segmentation_loss_poly: 0.8455 semantic_segmentation_loss_cls: 0.0162 2023/10/03 12:44:53 - mmengine - INFO - Iter(train) [ 77300/480000] base_lr: 1.8760e-04 lr: 5.0118e-05 eta: 11 days, 4:53:15 time: 2.5478 data_time: 0.1325 memory: 25717 grad_norm: 1.0908 loss: 1.4883 grounding_loss_reg: 4.9898 detection_loss_cls: 0.1011 detection_loss_reg: 0.5461 caption_loss_cls: 2.9338 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2539 instance_segmentation_loss_poly: 0.8456 semantic_segmentation_loss_cls: 0.0162 2023/10/03 12:49:14 - mmengine - INFO - Iter(train) [ 77400/480000] base_lr: 1.8757e-04 lr: 5.0110e-05 eta: 11 days, 5:13:23 time: 2.5542 data_time: 0.1325 memory: 25717 grad_norm: 1.0886 loss: 1.4848 grounding_loss_reg: 4.9889 detection_loss_cls: 0.1009 detection_loss_reg: 0.5450 caption_loss_cls: 2.9346 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2533 instance_segmentation_loss_poly: 0.8442 semantic_segmentation_loss_cls: 0.0162 2023/10/03 12:53:08 - mmengine - INFO - Iter(train) [ 77500/480000] base_lr: 1.8754e-04 lr: 5.0102e-05 eta: 11 days, 5:01:26 time: 2.5602 data_time: 0.1325 memory: 26556 grad_norm: 1.0919 loss: 1.4870 grounding_loss_reg: 4.9876 detection_loss_cls: 0.1009 detection_loss_reg: 0.5443 caption_loss_cls: 2.9332 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8444 semantic_segmentation_loss_cls: 0.0162 2023/10/03 12:53:08 - mmengine - INFO - Saving checkpoint at 77500 iterations 2023/10/03 12:58:11 - mmengine - INFO - Iter(train) [ 77600/480000] base_lr: 1.8750e-04 lr: 5.0094e-05 eta: 11 days, 6:05:51 time: 2.5663 data_time: 0.1328 memory: 26556 grad_norm: 1.0910 loss: 1.4895 grounding_loss_reg: 4.9867 detection_loss_cls: 0.1009 detection_loss_reg: 0.5440 caption_loss_cls: 2.9363 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2535 instance_segmentation_loss_poly: 0.8442 semantic_segmentation_loss_cls: 0.0162 2023/10/03 13:02:36 - mmengine - INFO - Iter(train) [ 77700/480000] base_lr: 1.8747e-04 lr: 5.0085e-05 eta: 11 days, 6:27:32 time: 2.5751 data_time: 0.1328 memory: 26556 grad_norm: 1.0852 loss: 1.4831 grounding_loss_reg: 4.9856 detection_loss_cls: 0.1008 detection_loss_reg: 0.5433 caption_loss_cls: 2.9331 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2534 instance_segmentation_loss_poly: 0.8440 semantic_segmentation_loss_cls: 0.0162 2023/10/03 13:06:59 - mmengine - INFO - Iter(train) [ 77800/480000] base_lr: 1.8744e-04 lr: 5.0077e-05 eta: 11 days, 6:45:35 time: 2.5822 data_time: 0.1328 memory: 26556 grad_norm: 1.0853 loss: 1.4804 grounding_loss_reg: 4.9833 detection_loss_cls: 0.1008 detection_loss_reg: 0.5441 caption_loss_cls: 2.9297 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8411 semantic_segmentation_loss_cls: 0.0162 2023/10/03 13:10:51 - mmengine - INFO - Iter(train) [ 77900/480000] base_lr: 1.8741e-04 lr: 5.0069e-05 eta: 11 days, 6:30:55 time: 2.5911 data_time: 0.1328 memory: 26556 grad_norm: 1.0819 loss: 1.4708 grounding_loss_reg: 4.9834 detection_loss_cls: 0.1010 detection_loss_reg: 0.5437 caption_loss_cls: 2.9243 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8411 semantic_segmentation_loss_cls: 0.0161 2023/10/03 13:15:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_082630 2023/10/03 13:15:16 - mmengine - INFO - Iter(train) [ 78000/480000] base_lr: 1.8738e-04 lr: 5.0061e-05 eta: 11 days, 6:50:20 time: 2.5978 data_time: 0.1328 memory: 25717 grad_norm: 1.0786 loss: 1.4717 grounding_loss_reg: 4.9826 detection_loss_cls: 0.1012 detection_loss_reg: 0.5449 caption_loss_cls: 2.9307 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2520 instance_segmentation_loss_poly: 0.8387 semantic_segmentation_loss_cls: 0.0161 2023/10/03 13:15:16 - mmengine - INFO - Saving checkpoint at 78000 iterations 2023/10/03 13:20:19 - mmengine - INFO - Iter(train) [ 78100/480000] base_lr: 1.8735e-04 lr: 5.0053e-05 eta: 11 days, 7:47:39 time: 2.6036 data_time: 0.1327 memory: 26556 grad_norm: 1.0825 loss: 1.4745 grounding_loss_reg: 4.9801 detection_loss_cls: 0.1010 detection_loss_reg: 0.5445 caption_loss_cls: 2.9260 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2528 instance_segmentation_loss_poly: 0.8410 semantic_segmentation_loss_cls: 0.0161 2023/10/03 13:24:15 - mmengine - INFO - Iter(train) [ 78200/480000] base_lr: 1.8731e-04 lr: 5.0044e-05 eta: 11 days, 7:35:46 time: 2.5989 data_time: 0.1326 memory: 25717 grad_norm: 1.0809 loss: 1.4639 grounding_loss_reg: 4.9024 detection_loss_cls: 0.1012 detection_loss_reg: 0.5454 caption_loss_cls: 2.9239 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2529 instance_segmentation_loss_poly: 0.8418 semantic_segmentation_loss_cls: 0.0161 2023/10/03 19:50:06 - mmengine - INFO - Iter(train) [ 78300/480000] base_lr: 1.8728e-04 lr: 5.0036e-05 eta: 7 days, 22:46:55 time: 2.5359 data_time: 0.1177 memory: 26567 grad_norm: 1.0802 loss: 1.4730 grounding_loss_reg: 4.8259 detection_loss_cls: 0.1013 detection_loss_reg: 0.5465 caption_loss_cls: 2.9280 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2522 instance_segmentation_loss_poly: 0.8393 semantic_segmentation_loss_cls: 0.0161 2023/10/03 19:53:27 - mmengine - INFO - Iter(train) [ 78400/480000] base_lr: 1.8725e-04 lr: 5.0028e-05 eta: 8 days, 7:06:42 time: 2.5262 data_time: 0.1177 memory: 26567 grad_norm: 1.0817 loss: 1.4744 grounding_loss_reg: 4.7677 detection_loss_cls: 0.1010 detection_loss_reg: 0.5450 caption_loss_cls: 2.9190 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8388 semantic_segmentation_loss_cls: 0.0161 2023/10/03 19:56:53 - mmengine - INFO - Iter(train) [ 78500/480000] base_lr: 1.8722e-04 lr: 5.0020e-05 eta: 8 days, 13:13:42 time: 2.5133 data_time: 0.1177 memory: 26567 grad_norm: 1.0816 loss: 1.4769 grounding_loss_reg: 4.7325 detection_loss_cls: 0.1013 detection_loss_reg: 0.5466 caption_loss_cls: 2.9209 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2525 instance_segmentation_loss_poly: 0.8389 semantic_segmentation_loss_cls: 0.0161 2023/10/03 19:56:53 - mmengine - INFO - Saving checkpoint at 78500 iterations 2023/10/03 20:01:12 - mmengine - INFO - Iter(train) [ 78600/480000] base_lr: 1.8719e-04 lr: 5.0011e-05 eta: 9 days, 3:04:55 time: 2.4971 data_time: 0.1178 memory: 26567 grad_norm: 1.0784 loss: 1.4775 grounding_loss_reg: 4.7110 detection_loss_cls: 0.1010 detection_loss_reg: 0.5443 caption_loss_cls: 2.9200 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2530 instance_segmentation_loss_poly: 0.8395 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:04:39 - mmengine - INFO - Iter(train) [ 78700/480000] base_lr: 1.8715e-04 lr: 5.0003e-05 eta: 9 days, 4:42:07 time: 2.4880 data_time: 0.1178 memory: 26567 grad_norm: 1.0741 loss: 1.4685 grounding_loss_reg: 4.6909 detection_loss_cls: 0.1010 detection_loss_reg: 0.5441 caption_loss_cls: 2.9171 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2530 instance_segmentation_loss_poly: 0.8391 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:08:23 - mmengine - INFO - Iter(train) [ 78800/480000] base_lr: 1.8712e-04 lr: 4.9995e-05 eta: 9 days, 8:19:20 time: 2.4773 data_time: 0.1179 memory: 26567 grad_norm: 1.0738 loss: 1.4703 grounding_loss_reg: 4.6708 detection_loss_cls: 0.1011 detection_loss_reg: 0.5448 caption_loss_cls: 2.9157 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2534 instance_segmentation_loss_poly: 0.8395 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:12:08 - mmengine - INFO - Iter(train) [ 78900/480000] base_lr: 1.8709e-04 lr: 4.9987e-05 eta: 9 days, 11:06:44 time: 2.4754 data_time: 0.1179 memory: 26567 grad_norm: 1.0734 loss: 1.4733 grounding_loss_reg: 4.6478 detection_loss_cls: 0.1011 detection_loss_reg: 0.5453 caption_loss_cls: 2.9168 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8398 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:15:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_191519 2023/10/03 20:15:45 - mmengine - INFO - Iter(train) [ 79000/480000] base_lr: 1.8706e-04 lr: 4.9978e-05 eta: 9 days, 12:34:31 time: 2.4694 data_time: 0.1179 memory: 26567 grad_norm: 1.0772 loss: 1.4751 grounding_loss_reg: 4.6372 detection_loss_cls: 0.1011 detection_loss_reg: 0.5460 caption_loss_cls: 2.9123 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:15:45 - mmengine - INFO - Saving checkpoint at 79000 iterations 2023/10/03 20:20:36 - mmengine - INFO - Iter(train) [ 79100/480000] base_lr: 1.8703e-04 lr: 4.9970e-05 eta: 9 days, 21:13:53 time: 2.4709 data_time: 0.1171 memory: 26567 grad_norm: 1.0731 loss: 1.4663 grounding_loss_reg: 4.6246 detection_loss_cls: 0.1011 detection_loss_reg: 0.5454 caption_loss_cls: 2.9142 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2542 instance_segmentation_loss_poly: 0.8409 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:24:11 - mmengine - INFO - Iter(train) [ 79200/480000] base_lr: 1.8699e-04 lr: 4.9962e-05 eta: 9 days, 21:19:14 time: 2.4594 data_time: 0.1171 memory: 25729 grad_norm: 1.0756 loss: 1.4657 grounding_loss_reg: 4.6178 detection_loss_cls: 0.1008 detection_loss_reg: 0.5445 caption_loss_cls: 2.9173 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2542 instance_segmentation_loss_poly: 0.8409 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:28:16 - mmengine - INFO - Iter(train) [ 79300/480000] base_lr: 1.8696e-04 lr: 4.9953e-05 eta: 9 days, 23:56:44 time: 2.4551 data_time: 0.1171 memory: 26567 grad_norm: 1.0739 loss: 1.4585 grounding_loss_reg: 4.6138 detection_loss_cls: 0.1005 detection_loss_reg: 0.5432 caption_loss_cls: 2.9159 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2544 instance_segmentation_loss_poly: 0.8407 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:32:12 - mmengine - INFO - Iter(train) [ 79400/480000] base_lr: 1.8693e-04 lr: 4.9945e-05 eta: 10 days, 1:30:49 time: 2.4592 data_time: 0.1171 memory: 26567 grad_norm: 1.0744 loss: 1.4642 grounding_loss_reg: 4.5989 detection_loss_cls: 0.1004 detection_loss_reg: 0.5420 caption_loss_cls: 2.9182 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2543 instance_segmentation_loss_poly: 0.8400 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:36:27 - mmengine - INFO - Iter(train) [ 79500/480000] base_lr: 1.8690e-04 lr: 4.9937e-05 eta: 10 days, 4:17:56 time: 2.4589 data_time: 0.1171 memory: 26567 grad_norm: 1.0753 loss: 1.4683 grounding_loss_reg: 4.5929 detection_loss_cls: 0.1004 detection_loss_reg: 0.5424 caption_loss_cls: 2.9162 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2540 instance_segmentation_loss_poly: 0.8386 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:36:27 - mmengine - INFO - Saving checkpoint at 79500 iterations 2023/10/03 20:41:06 - mmengine - INFO - Iter(train) [ 79600/480000] base_lr: 1.8687e-04 lr: 4.9928e-05 eta: 10 days, 8:22:47 time: 2.4531 data_time: 0.1174 memory: 26567 grad_norm: 1.0132 loss: 1.4618 grounding_loss_reg: 4.5893 detection_loss_cls: 0.1004 detection_loss_reg: 0.5429 caption_loss_cls: 2.9126 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2531 instance_segmentation_loss_poly: 0.8369 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:45:08 - mmengine - INFO - Iter(train) [ 79700/480000] base_lr: 1.8683e-04 lr: 4.9920e-05 eta: 10 days, 9:31:44 time: 2.4487 data_time: 0.1174 memory: 26567 grad_norm: 1.0143 loss: 1.4632 grounding_loss_reg: 4.5796 detection_loss_cls: 0.1003 detection_loss_reg: 0.5434 caption_loss_cls: 2.9126 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2534 instance_segmentation_loss_poly: 0.8376 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:49:17 - mmengine - INFO - Iter(train) [ 79800/480000] base_lr: 1.8680e-04 lr: 4.9912e-05 eta: 10 days, 10:59:22 time: 2.4529 data_time: 0.1175 memory: 26567 grad_norm: 1.0106 loss: 1.4531 grounding_loss_reg: 4.5760 detection_loss_cls: 0.1003 detection_loss_reg: 0.5429 caption_loss_cls: 2.9134 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2533 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0160 2023/10/03 20:53:46 - mmengine - INFO - Iter(train) [ 79900/480000] base_lr: 1.8677e-04 lr: 4.9903e-05 eta: 10 days, 13:26:20 time: 2.4631 data_time: 0.1175 memory: 26567 grad_norm: 1.0097 loss: 1.4585 grounding_loss_reg: 4.5594 detection_loss_cls: 0.1006 detection_loss_reg: 0.5454 caption_loss_cls: 2.9095 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2541 instance_segmentation_loss_poly: 0.8397 semantic_segmentation_loss_cls: 0.0160 2023/10/03 20:57:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_191519 2023/10/03 20:57:34 - mmengine - INFO - Iter(train) [ 80000/480000] base_lr: 1.8674e-04 lr: 4.9895e-05 eta: 10 days, 13:24:11 time: 2.4612 data_time: 0.1175 memory: 26567 grad_norm: 1.0061 loss: 1.4542 grounding_loss_reg: 4.5573 detection_loss_cls: 0.1008 detection_loss_reg: 0.5460 caption_loss_cls: 2.9090 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2546 instance_segmentation_loss_poly: 0.8411 semantic_segmentation_loss_cls: 0.0161 2023/10/03 20:57:34 - mmengine - INFO - Saving checkpoint at 80000 iterations 2023/10/03 21:02:32 - mmengine - INFO - Iter(train) [ 80100/480000] base_lr: 1.8670e-04 lr: 4.9886e-05 eta: 10 days, 17:02:02 time: 2.4608 data_time: 0.1180 memory: 26567 grad_norm: 1.0041 loss: 1.4500 grounding_loss_reg: 4.5571 detection_loss_cls: 0.1009 detection_loss_reg: 0.5462 caption_loss_cls: 2.9089 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2545 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0161 2023/10/03 21:06:45 - mmengine - INFO - Iter(train) [ 80200/480000] base_lr: 1.8667e-04 lr: 4.9878e-05 eta: 10 days, 18:02:23 time: 2.4592 data_time: 0.1181 memory: 26567 grad_norm: 1.0061 loss: 1.4545 grounding_loss_reg: 4.5525 detection_loss_cls: 0.1007 detection_loss_reg: 0.5442 caption_loss_cls: 2.9073 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2542 instance_segmentation_loss_poly: 0.8400 semantic_segmentation_loss_cls: 0.0161 2023/10/03 21:10:54 - mmengine - INFO - Iter(train) [ 80300/480000] base_lr: 1.8664e-04 lr: 4.9869e-05 eta: 10 days, 18:47:35 time: 2.4532 data_time: 0.1180 memory: 25729 grad_norm: 1.0039 loss: 1.4514 grounding_loss_reg: 4.5484 detection_loss_cls: 0.1010 detection_loss_reg: 0.5457 caption_loss_cls: 2.9075 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2539 instance_segmentation_loss_poly: 0.8393 semantic_segmentation_loss_cls: 0.0161 2023/10/03 21:14:36 - mmengine - INFO - Iter(train) [ 80400/480000] base_lr: 1.8661e-04 lr: 4.9861e-05 eta: 10 days, 18:13:20 time: 2.4539 data_time: 0.1180 memory: 25729 grad_norm: 1.0080 loss: 1.4592 grounding_loss_reg: 4.5414 detection_loss_cls: 0.1009 detection_loss_reg: 0.5462 caption_loss_cls: 2.9016 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2529 instance_segmentation_loss_poly: 0.8360 semantic_segmentation_loss_cls: 0.0161 2023/10/03 21:18:46 - mmengine - INFO - Iter(train) [ 80500/480000] base_lr: 1.8657e-04 lr: 4.9853e-05 eta: 10 days, 18:53:57 time: 2.4616 data_time: 0.1181 memory: 25729 grad_norm: 1.0042 loss: 1.4567 grounding_loss_reg: 4.5411 detection_loss_cls: 0.1010 detection_loss_reg: 0.5478 caption_loss_cls: 2.9047 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2530 instance_segmentation_loss_poly: 0.8364 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:18:46 - mmengine - INFO - Saving checkpoint at 80500 iterations 2023/10/03 21:23:53 - mmengine - INFO - Iter(train) [ 80600/480000] base_lr: 1.8654e-04 lr: 4.9844e-05 eta: 10 days, 21:59:57 time: 2.4568 data_time: 0.1180 memory: 26567 grad_norm: 1.0067 loss: 1.4608 grounding_loss_reg: 4.5381 detection_loss_cls: 0.1009 detection_loss_reg: 0.5473 caption_loss_cls: 2.9031 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8339 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:28:32 - mmengine - INFO - Iter(train) [ 80700/480000] base_lr: 1.8651e-04 lr: 4.9836e-05 eta: 10 days, 23:42:01 time: 2.4615 data_time: 0.1180 memory: 26567 grad_norm: 1.0048 loss: 1.4510 grounding_loss_reg: 4.5349 detection_loss_cls: 0.1007 detection_loss_reg: 0.5460 caption_loss_cls: 2.8987 instance_segmentation_loss_cls: 0.0577 instance_segmentation_loss_reg: 0.2507 instance_segmentation_loss_poly: 0.8311 semantic_segmentation_loss_cls: 0.0161 2023/10/03 21:32:20 - mmengine - INFO - Iter(train) [ 80800/480000] base_lr: 1.8648e-04 lr: 4.9827e-05 eta: 10 days, 23:14:25 time: 2.4510 data_time: 0.1180 memory: 26567 grad_norm: 1.0110 loss: 1.4630 grounding_loss_reg: 4.5078 detection_loss_cls: 0.1002 detection_loss_reg: 0.5435 caption_loss_cls: 2.8979 instance_segmentation_loss_cls: 0.0577 instance_segmentation_loss_reg: 0.2508 instance_segmentation_loss_poly: 0.8308 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:36:13 - mmengine - INFO - Iter(train) [ 80900/480000] base_lr: 1.8644e-04 lr: 4.9819e-05 eta: 10 days, 22:58:48 time: 2.4478 data_time: 0.1180 memory: 26567 grad_norm: 1.0100 loss: 1.4572 grounding_loss_reg: 4.5048 detection_loss_cls: 0.1003 detection_loss_reg: 0.5433 caption_loss_cls: 2.8972 instance_segmentation_loss_cls: 0.0577 instance_segmentation_loss_reg: 0.2511 instance_segmentation_loss_poly: 0.8314 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:40:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_191519 2023/10/03 21:40:23 - mmengine - INFO - Iter(train) [ 81000/480000] base_lr: 1.8641e-04 lr: 4.9810e-05 eta: 10 days, 23:22:51 time: 2.4406 data_time: 0.1180 memory: 26567 grad_norm: 1.0120 loss: 1.4666 grounding_loss_reg: 4.5010 detection_loss_cls: 0.1004 detection_loss_reg: 0.5445 caption_loss_cls: 2.8959 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2517 instance_segmentation_loss_poly: 0.8323 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:40:23 - mmengine - INFO - Saving checkpoint at 81000 iterations 2023/10/03 21:45:56 - mmengine - INFO - Iter(train) [ 81100/480000] base_lr: 1.8638e-04 lr: 4.9802e-05 eta: 11 days, 2:44:30 time: 2.4430 data_time: 0.1181 memory: 26567 grad_norm: 1.0186 loss: 1.4811 grounding_loss_reg: 4.4965 detection_loss_cls: 0.0998 detection_loss_reg: 0.5425 caption_loss_cls: 2.8989 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2517 instance_segmentation_loss_poly: 0.8322 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:49:48 - mmengine - INFO - Iter(train) [ 81200/480000] base_lr: 1.8635e-04 lr: 4.9793e-05 eta: 11 days, 2:23:04 time: 2.4419 data_time: 0.1181 memory: 26567 grad_norm: 1.0193 loss: 1.4744 grounding_loss_reg: 4.4920 detection_loss_cls: 0.0999 detection_loss_reg: 0.5423 caption_loss_cls: 2.8943 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8312 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:54:25 - mmengine - INFO - Iter(train) [ 81300/480000] base_lr: 1.8631e-04 lr: 4.9785e-05 eta: 11 days, 3:32:11 time: 2.4488 data_time: 0.1182 memory: 26567 grad_norm: 1.0190 loss: 1.4764 grounding_loss_reg: 4.4890 detection_loss_cls: 0.0996 detection_loss_reg: 0.5419 caption_loss_cls: 2.8875 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2526 instance_segmentation_loss_poly: 0.8349 semantic_segmentation_loss_cls: 0.0160 2023/10/03 21:58:17 - mmengine - INFO - Iter(train) [ 81400/480000] base_lr: 1.8628e-04 lr: 4.9776e-05 eta: 11 days, 3:09:09 time: 2.4413 data_time: 0.1182 memory: 26567 grad_norm: 1.0231 loss: 1.4841 grounding_loss_reg: 4.4861 detection_loss_cls: 0.0996 detection_loss_reg: 0.5420 caption_loss_cls: 2.8868 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2530 instance_segmentation_loss_poly: 0.8360 semantic_segmentation_loss_cls: 0.0161 2023/10/03 22:02:27 - mmengine - INFO - Iter(train) [ 81500/480000] base_lr: 1.8625e-04 lr: 4.9768e-05 eta: 11 days, 3:22:23 time: 2.4455 data_time: 0.1182 memory: 26567 grad_norm: 1.0207 loss: 1.4816 grounding_loss_reg: 4.4811 detection_loss_cls: 0.0998 detection_loss_reg: 0.5429 caption_loss_cls: 2.8888 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8351 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:02:27 - mmengine - INFO - Saving checkpoint at 81500 iterations 2023/10/03 22:07:21 - mmengine - INFO - Iter(train) [ 81600/480000] base_lr: 1.8621e-04 lr: 4.9759e-05 eta: 11 days, 4:54:14 time: 2.4432 data_time: 0.1179 memory: 26567 grad_norm: 1.0265 loss: 1.4953 grounding_loss_reg: 4.4777 detection_loss_cls: 0.0999 detection_loss_reg: 0.5438 caption_loss_cls: 2.8944 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2533 instance_segmentation_loss_poly: 0.8352 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:12:08 - mmengine - INFO - Iter(train) [ 81700/480000] base_lr: 1.8618e-04 lr: 4.9751e-05 eta: 11 days, 6:08:28 time: 2.4485 data_time: 0.1179 memory: 26567 grad_norm: 1.0278 loss: 1.4970 grounding_loss_reg: 4.4761 detection_loss_cls: 0.0996 detection_loss_reg: 0.5432 caption_loss_cls: 2.8943 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2534 instance_segmentation_loss_poly: 0.8365 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:17:10 - mmengine - INFO - Iter(train) [ 81800/480000] base_lr: 1.8615e-04 lr: 4.9742e-05 eta: 11 days, 7:45:55 time: 2.4584 data_time: 0.1179 memory: 26567 grad_norm: 1.0254 loss: 1.5035 grounding_loss_reg: 4.4745 detection_loss_cls: 0.1002 detection_loss_reg: 0.5462 caption_loss_cls: 2.8925 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2539 instance_segmentation_loss_poly: 0.8378 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:21:35 - mmengine - INFO - Iter(train) [ 81900/480000] base_lr: 1.8611e-04 lr: 4.9733e-05 eta: 11 days, 8:13:52 time: 2.4665 data_time: 0.1180 memory: 26567 grad_norm: 1.0254 loss: 1.5074 grounding_loss_reg: 4.4716 detection_loss_cls: 0.1002 detection_loss_reg: 0.5463 caption_loss_cls: 2.8900 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2545 instance_segmentation_loss_poly: 0.8391 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:26:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_191519 2023/10/03 22:26:18 - mmengine - INFO - Iter(train) [ 82000/480000] base_lr: 1.8608e-04 lr: 4.9725e-05 eta: 11 days, 9:11:28 time: 2.4711 data_time: 0.1179 memory: 26567 grad_norm: 1.0302 loss: 1.5077 grounding_loss_reg: 4.4670 detection_loss_cls: 0.1004 detection_loss_reg: 0.5471 caption_loss_cls: 2.8926 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2541 instance_segmentation_loss_poly: 0.8384 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:26:18 - mmengine - INFO - Saving checkpoint at 82000 iterations 2023/10/03 22:31:44 - mmengine - INFO - Iter(train) [ 82100/480000] base_lr: 1.8605e-04 lr: 4.9716e-05 eta: 11 days, 11:14:34 time: 2.5122 data_time: 0.1329 memory: 26567 grad_norm: 1.0274 loss: 1.5034 grounding_loss_reg: 4.4634 detection_loss_cls: 0.1002 detection_loss_reg: 0.5459 caption_loss_cls: 2.8926 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2537 instance_segmentation_loss_poly: 0.8367 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:36:12 - mmengine - INFO - Iter(train) [ 82200/480000] base_lr: 1.8602e-04 lr: 4.9708e-05 eta: 11 days, 11:40:21 time: 2.5359 data_time: 0.1329 memory: 26567 grad_norm: 1.0251 loss: 1.5066 grounding_loss_reg: 4.4600 detection_loss_cls: 0.1000 detection_loss_reg: 0.5464 caption_loss_cls: 2.8946 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8362 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:40:23 - mmengine - INFO - Iter(train) [ 82300/480000] base_lr: 1.8598e-04 lr: 4.9699e-05 eta: 11 days, 11:38:18 time: 2.5540 data_time: 0.1329 memory: 26567 grad_norm: 1.0249 loss: 1.5040 grounding_loss_reg: 4.4567 detection_loss_cls: 0.0998 detection_loss_reg: 0.5448 caption_loss_cls: 2.8921 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2537 instance_segmentation_loss_poly: 0.8366 semantic_segmentation_loss_cls: 0.0159 2023/10/03 22:44:36 - mmengine - INFO - Iter(train) [ 82400/480000] base_lr: 1.8595e-04 lr: 4.9690e-05 eta: 11 days, 11:40:37 time: 2.5672 data_time: 0.1329 memory: 26567 grad_norm: 1.0234 loss: 1.5102 grounding_loss_reg: 4.4544 detection_loss_cls: 0.0998 detection_loss_reg: 0.5438 caption_loss_cls: 2.8931 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2544 instance_segmentation_loss_poly: 0.8375 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:48:50 - mmengine - INFO - Iter(train) [ 82500/480000] base_lr: 1.8592e-04 lr: 4.9682e-05 eta: 11 days, 11:42:08 time: 2.5790 data_time: 0.1329 memory: 26567 grad_norm: 1.0257 loss: 1.5096 grounding_loss_reg: 4.4495 detection_loss_cls: 0.0995 detection_loss_reg: 0.5425 caption_loss_cls: 2.8924 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2546 instance_segmentation_loss_poly: 0.8373 semantic_segmentation_loss_cls: 0.0160 2023/10/03 22:48:50 - mmengine - INFO - Saving checkpoint at 82500 iterations 2023/10/03 22:54:51 - mmengine - INFO - Iter(train) [ 82600/480000] base_lr: 1.8588e-04 lr: 4.9673e-05 eta: 11 days, 14:18:14 time: 2.6046 data_time: 0.1328 memory: 26567 grad_norm: 1.0261 loss: 1.5076 grounding_loss_reg: 4.4469 detection_loss_cls: 0.0998 detection_loss_reg: 0.5434 caption_loss_cls: 2.8896 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2548 instance_segmentation_loss_poly: 0.8378 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:00:16 - mmengine - INFO - Iter(train) [ 82700/480000] base_lr: 1.8585e-04 lr: 4.9664e-05 eta: 11 days, 15:56:13 time: 2.6340 data_time: 0.1328 memory: 26567 grad_norm: 1.0256 loss: 1.5102 grounding_loss_reg: 4.4456 detection_loss_cls: 0.0994 detection_loss_reg: 0.5431 caption_loss_cls: 2.8893 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8396 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:05:45 - mmengine - INFO - Iter(train) [ 82800/480000] base_lr: 1.8582e-04 lr: 4.9656e-05 eta: 11 days, 17:36:54 time: 2.6603 data_time: 0.1329 memory: 26567 grad_norm: 1.0264 loss: 1.5144 grounding_loss_reg: 4.4418 detection_loss_cls: 0.0995 detection_loss_reg: 0.5432 caption_loss_cls: 2.8883 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:10:30 - mmengine - INFO - Iter(train) [ 82900/480000] base_lr: 1.8578e-04 lr: 4.9647e-05 eta: 11 days, 18:11:53 time: 2.6753 data_time: 0.1328 memory: 25729 grad_norm: 1.0274 loss: 1.5138 grounding_loss_reg: 4.4395 detection_loss_cls: 0.0994 detection_loss_reg: 0.5416 caption_loss_cls: 2.8898 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2553 instance_segmentation_loss_poly: 0.8394 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:15:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_191519 2023/10/03 23:15:18 - mmengine - INFO - Iter(train) [ 83000/480000] base_lr: 1.8575e-04 lr: 4.9638e-05 eta: 11 days, 18:50:07 time: 2.6929 data_time: 0.1328 memory: 26567 grad_norm: 1.0276 loss: 1.5185 grounding_loss_reg: 4.4375 detection_loss_cls: 0.0992 detection_loss_reg: 0.5406 caption_loss_cls: 2.8927 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2547 instance_segmentation_loss_poly: 0.8379 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:15:18 - mmengine - INFO - Saving checkpoint at 83000 iterations 2023/10/03 23:21:25 - mmengine - INFO - Iter(train) [ 83100/480000] base_lr: 1.8571e-04 lr: 4.9630e-05 eta: 11 days, 21:09:05 time: 2.7118 data_time: 0.1330 memory: 26567 grad_norm: 1.0263 loss: 1.5209 grounding_loss_reg: 4.4351 detection_loss_cls: 0.0989 detection_loss_reg: 0.5393 caption_loss_cls: 2.8904 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8391 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:26:33 - mmengine - INFO - Iter(train) [ 83200/480000] base_lr: 1.8568e-04 lr: 4.9621e-05 eta: 11 days, 22:07:49 time: 2.7352 data_time: 0.1330 memory: 26567 grad_norm: 1.0268 loss: 1.5206 grounding_loss_reg: 4.4313 detection_loss_cls: 0.0984 detection_loss_reg: 0.5367 caption_loss_cls: 2.8937 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:31:58 - mmengine - INFO - Iter(train) [ 83300/480000] base_lr: 1.8565e-04 lr: 4.9612e-05 eta: 11 days, 23:25:01 time: 2.7553 data_time: 0.1330 memory: 26567 grad_norm: 1.0278 loss: 1.5194 grounding_loss_reg: 4.4269 detection_loss_cls: 0.0984 detection_loss_reg: 0.5368 caption_loss_cls: 2.8944 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:37:01 - mmengine - INFO - Iter(train) [ 83400/480000] base_lr: 1.8561e-04 lr: 4.9604e-05 eta: 12 days, 0:12:45 time: 2.7722 data_time: 0.1330 memory: 26567 grad_norm: 1.0238 loss: 1.5115 grounding_loss_reg: 4.4254 detection_loss_cls: 0.0982 detection_loss_reg: 0.5370 caption_loss_cls: 2.8970 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2551 instance_segmentation_loss_poly: 0.8390 semantic_segmentation_loss_cls: 0.0159 2023/10/03 23:42:38 - mmengine - INFO - Iter(train) [ 83500/480000] base_lr: 1.8558e-04 lr: 4.9595e-05 eta: 12 days, 1:38:51 time: 2.7926 data_time: 0.1330 memory: 26567 grad_norm: 1.0206 loss: 1.5015 grounding_loss_reg: 4.4211 detection_loss_cls: 0.0984 detection_loss_reg: 0.5382 caption_loss_cls: 2.8906 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8360 semantic_segmentation_loss_cls: 0.0160 2023/10/03 23:42:38 - mmengine - INFO - Saving checkpoint at 83500 iterations 2023/10/03 23:49:05 - mmengine - INFO - Iter(train) [ 83600/480000] base_lr: 1.8555e-04 lr: 4.9586e-05 eta: 12 days, 4:00:26 time: 2.8194 data_time: 0.1328 memory: 26567 grad_norm: 1.0169 loss: 1.5033 grounding_loss_reg: 4.4177 detection_loss_cls: 0.0984 detection_loss_reg: 0.5376 caption_loss_cls: 2.8953 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2518 instance_segmentation_loss_poly: 0.8332 semantic_segmentation_loss_cls: 0.0160 2023/10/03 23:54:08 - mmengine - INFO - Iter(train) [ 83700/480000] base_lr: 1.8551e-04 lr: 4.9577e-05 eta: 12 days, 4:39:40 time: 2.8347 data_time: 0.1328 memory: 26567 grad_norm: 1.0161 loss: 1.5029 grounding_loss_reg: 4.4148 detection_loss_cls: 0.0985 detection_loss_reg: 0.5382 caption_loss_cls: 2.8960 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2527 instance_segmentation_loss_poly: 0.8351 semantic_segmentation_loss_cls: 0.0160 2023/10/03 23:59:22 - mmengine - INFO - Iter(train) [ 83800/480000] base_lr: 1.8548e-04 lr: 4.9569e-05 eta: 12 days, 5:29:54 time: 2.8509 data_time: 0.1328 memory: 25729 grad_norm: 1.0171 loss: 1.5006 grounding_loss_reg: 4.4141 detection_loss_cls: 0.0987 detection_loss_reg: 0.5385 caption_loss_cls: 2.8915 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2518 instance_segmentation_loss_poly: 0.8323 semantic_segmentation_loss_cls: 0.0160 2023/10/04 00:04:51 - mmengine - INFO - Iter(train) [ 83900/480000] base_lr: 1.8545e-04 lr: 4.9560e-05 eta: 12 days, 6:35:10 time: 2.8660 data_time: 0.1328 memory: 25729 grad_norm: 1.0150 loss: 1.4916 grounding_loss_reg: 4.4128 detection_loss_cls: 0.0987 detection_loss_reg: 0.5378 caption_loss_cls: 2.8850 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2517 instance_segmentation_loss_poly: 0.8327 semantic_segmentation_loss_cls: 0.0160 2023/10/04 00:09:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231003_191519 2023/10/04 00:09:45 - mmengine - INFO - Iter(train) [ 84000/480000] base_lr: 1.8541e-04 lr: 4.9551e-05 eta: 12 days, 7:00:20 time: 2.8825 data_time: 0.1328 memory: 26567 grad_norm: 1.0173 loss: 1.4982 grounding_loss_reg: 4.4110 detection_loss_cls: 0.0986 detection_loss_reg: 0.5375 caption_loss_cls: 2.8870 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2510 instance_segmentation_loss_poly: 0.8330 semantic_segmentation_loss_cls: 0.0160 2023/10/04 00:09:45 - mmengine - INFO - Saving checkpoint at 84000 iterations 2023/10/04 00:50:58 - mmengine - INFO - Iter(train) [ 84100/480000] base_lr: 1.8538e-04 lr: 4.9542e-05 eta: 7 days, 12:30:04 time: 2.8490 data_time: 0.1173 memory: 26563 grad_norm: 1.0236 loss: 1.5060 grounding_loss_reg: 4.4046 detection_loss_cls: 0.0987 detection_loss_reg: 0.5372 caption_loss_cls: 2.8884 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8336 semantic_segmentation_loss_cls: 0.0160 2023/10/04 00:53:52 - mmengine - INFO - Iter(train) [ 84200/480000] base_lr: 1.8534e-04 lr: 4.9534e-05 eta: 7 days, 17:49:54 time: 2.8294 data_time: 0.1172 memory: 26563 grad_norm: 1.0251 loss: 1.4990 grounding_loss_reg: 4.4002 detection_loss_cls: 0.0986 detection_loss_reg: 0.5373 caption_loss_cls: 2.8877 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2508 instance_segmentation_loss_poly: 0.8323 semantic_segmentation_loss_cls: 0.0160 2023/10/04 00:56:53 - mmengine - INFO - Iter(train) [ 84300/480000] base_lr: 1.8531e-04 lr: 4.9525e-05 eta: 7 days, 22:08:16 time: 2.8123 data_time: 0.1172 memory: 26563 grad_norm: 1.0283 loss: 1.4972 grounding_loss_reg: 4.3981 detection_loss_cls: 0.0989 detection_loss_reg: 0.5384 caption_loss_cls: 2.8865 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2504 instance_segmentation_loss_poly: 0.8313 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:00:08 - mmengine - INFO - Iter(train) [ 84400/480000] base_lr: 1.8528e-04 lr: 4.9516e-05 eta: 8 days, 4:12:11 time: 2.8056 data_time: 0.1173 memory: 26563 grad_norm: 1.0233 loss: 1.4921 grounding_loss_reg: 4.3938 detection_loss_cls: 0.0988 detection_loss_reg: 0.5381 caption_loss_cls: 2.8886 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2505 instance_segmentation_loss_poly: 0.8328 semantic_segmentation_loss_cls: 0.0160 2023/10/04 01:03:33 - mmengine - INFO - Iter(train) [ 84500/480000] base_lr: 1.8524e-04 lr: 4.9507e-05 eta: 8 days, 9:55:51 time: 2.7944 data_time: 0.1173 memory: 26563 grad_norm: 1.0250 loss: 1.4900 grounding_loss_reg: 4.3889 detection_loss_cls: 0.0987 detection_loss_reg: 0.5374 caption_loss_cls: 2.8875 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2509 instance_segmentation_loss_poly: 0.8340 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:03:33 - mmengine - INFO - Saving checkpoint at 84500 iterations 2023/10/04 01:07:50 - mmengine - INFO - Iter(train) [ 84600/480000] base_lr: 1.8521e-04 lr: 4.9498e-05 eta: 8 days, 23:18:22 time: 2.7819 data_time: 0.1170 memory: 26563 grad_norm: 1.0234 loss: 1.4893 grounding_loss_reg: 4.3865 detection_loss_cls: 0.0981 detection_loss_reg: 0.5341 caption_loss_cls: 2.8882 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8342 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:11:10 - mmengine - INFO - Iter(train) [ 84700/480000] base_lr: 1.8517e-04 lr: 4.9490e-05 eta: 8 days, 23:55:06 time: 2.7621 data_time: 0.1170 memory: 26563 grad_norm: 1.0223 loss: 1.4936 grounding_loss_reg: 4.3843 detection_loss_cls: 0.0978 detection_loss_reg: 0.5329 caption_loss_cls: 2.8851 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2506 instance_segmentation_loss_poly: 0.8325 semantic_segmentation_loss_cls: 0.0160 2023/10/04 01:14:45 - mmengine - INFO - Iter(train) [ 84800/480000] base_lr: 1.8514e-04 lr: 4.9481e-05 eta: 9 days, 2:23:07 time: 2.7589 data_time: 0.1170 memory: 26563 grad_norm: 1.0176 loss: 1.4889 grounding_loss_reg: 4.3832 detection_loss_cls: 0.0977 detection_loss_reg: 0.5324 caption_loss_cls: 2.8866 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2509 instance_segmentation_loss_poly: 0.8335 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:18:25 - mmengine - INFO - Iter(train) [ 84900/480000] base_lr: 1.8511e-04 lr: 4.9472e-05 eta: 9 days, 4:52:22 time: 2.7558 data_time: 0.1170 memory: 26563 grad_norm: 1.0206 loss: 1.4913 grounding_loss_reg: 4.3798 detection_loss_cls: 0.0974 detection_loss_reg: 0.5316 caption_loss_cls: 2.8850 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2501 instance_segmentation_loss_poly: 0.8323 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:22:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_002148 2023/10/04 01:22:04 - mmengine - INFO - Iter(train) [ 85000/480000] base_lr: 1.8507e-04 lr: 4.9463e-05 eta: 9 days, 6:44:11 time: 2.7480 data_time: 0.1169 memory: 26563 grad_norm: 1.0236 loss: 1.4919 grounding_loss_reg: 4.3760 detection_loss_cls: 0.0976 detection_loss_reg: 0.5328 caption_loss_cls: 2.8837 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8329 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:22:04 - mmengine - INFO - Saving checkpoint at 85000 iterations 2023/10/04 01:26:54 - mmengine - INFO - Iter(train) [ 85100/480000] base_lr: 1.8504e-04 lr: 4.9454e-05 eta: 9 days, 15:19:08 time: 2.7371 data_time: 0.1172 memory: 26563 grad_norm: 1.0203 loss: 1.4862 grounding_loss_reg: 4.3742 detection_loss_cls: 0.0976 detection_loss_reg: 0.5325 caption_loss_cls: 2.8843 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2498 instance_segmentation_loss_poly: 0.8311 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:30:24 - mmengine - INFO - Iter(train) [ 85200/480000] base_lr: 1.8500e-04 lr: 4.9445e-05 eta: 9 days, 15:13:41 time: 2.7316 data_time: 0.1173 memory: 25723 grad_norm: 1.0185 loss: 1.4831 grounding_loss_reg: 4.3717 detection_loss_cls: 0.0976 detection_loss_reg: 0.5326 caption_loss_cls: 2.8786 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2495 instance_segmentation_loss_poly: 0.8305 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:34:00 - mmengine - INFO - Iter(train) [ 85300/480000] base_lr: 1.8497e-04 lr: 4.9436e-05 eta: 9 days, 15:34:23 time: 2.7163 data_time: 0.1172 memory: 26563 grad_norm: 1.0146 loss: 1.4780 grounding_loss_reg: 4.3711 detection_loss_cls: 0.0977 detection_loss_reg: 0.5335 caption_loss_cls: 2.8797 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8314 semantic_segmentation_loss_cls: 0.0159 2023/10/04 01:37:36 - mmengine - INFO - Iter(train) [ 85400/480000] base_lr: 1.8493e-04 lr: 4.9427e-05 eta: 9 days, 15:53:09 time: 2.7123 data_time: 0.1172 memory: 26563 grad_norm: 1.0171 loss: 1.4779 grounding_loss_reg: 4.3652 detection_loss_cls: 0.0977 detection_loss_reg: 0.5345 caption_loss_cls: 2.8785 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2506 instance_segmentation_loss_poly: 0.8335 semantic_segmentation_loss_cls: 0.0160 2023/10/04 01:41:15 - mmengine - INFO - Iter(train) [ 85500/480000] base_lr: 1.8490e-04 lr: 4.9418e-05 eta: 9 days, 16:24:36 time: 2.7046 data_time: 0.1172 memory: 26563 grad_norm: 1.0185 loss: 1.4742 grounding_loss_reg: 4.3628 detection_loss_cls: 0.0977 detection_loss_reg: 0.5341 caption_loss_cls: 2.8789 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2504 instance_segmentation_loss_poly: 0.8330 semantic_segmentation_loss_cls: 0.0160 2023/10/04 01:41:15 - mmengine - INFO - Saving checkpoint at 85500 iterations 2023/10/04 01:45:29 - mmengine - INFO - Iter(train) [ 85600/480000] base_lr: 1.8487e-04 lr: 4.9410e-05 eta: 9 days, 19:11:26 time: 2.6946 data_time: 0.1170 memory: 26563 grad_norm: 1.0145 loss: 1.4583 grounding_loss_reg: 4.3607 detection_loss_cls: 0.0976 detection_loss_reg: 0.5336 caption_loss_cls: 2.8756 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2505 instance_segmentation_loss_poly: 0.8340 semantic_segmentation_loss_cls: 0.0160 2023/10/04 01:49:18 - mmengine - INFO - Iter(train) [ 85700/480000] base_lr: 1.8483e-04 lr: 4.9401e-05 eta: 9 days, 20:03:20 time: 2.6802 data_time: 0.1170 memory: 26563 grad_norm: 1.0216 loss: 1.4689 grounding_loss_reg: 4.3568 detection_loss_cls: 0.0978 detection_loss_reg: 0.5342 caption_loss_cls: 2.8792 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2513 instance_segmentation_loss_poly: 0.8350 semantic_segmentation_loss_cls: 0.0161 2023/10/04 01:53:04 - mmengine - INFO - Iter(train) [ 85800/480000] base_lr: 1.8480e-04 lr: 4.9392e-05 eta: 9 days, 20:37:20 time: 2.6611 data_time: 0.1170 memory: 26563 grad_norm: 1.0224 loss: 1.4612 grounding_loss_reg: 4.3554 detection_loss_cls: 0.0978 detection_loss_reg: 0.5334 caption_loss_cls: 2.8797 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2506 instance_segmentation_loss_poly: 0.8329 semantic_segmentation_loss_cls: 0.0161 2023/10/04 01:57:00 - mmengine - INFO - Iter(train) [ 85900/480000] base_lr: 1.8476e-04 lr: 4.9383e-05 eta: 9 days, 21:42:02 time: 2.6540 data_time: 0.1170 memory: 26563 grad_norm: 1.0192 loss: 1.4584 grounding_loss_reg: 4.3521 detection_loss_cls: 0.0972 detection_loss_reg: 0.5293 caption_loss_cls: 2.8851 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8354 semantic_segmentation_loss_cls: 0.0161 2023/10/04 02:00:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_002148 2023/10/04 02:00:28 - mmengine - INFO - Iter(train) [ 86000/480000] base_lr: 1.8473e-04 lr: 4.9374e-05 eta: 9 days, 21:07:53 time: 2.6351 data_time: 0.1170 memory: 26563 grad_norm: 1.0182 loss: 1.4600 grounding_loss_reg: 4.3514 detection_loss_cls: 0.0973 detection_loss_reg: 0.5293 caption_loss_cls: 2.8836 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8362 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:00:28 - mmengine - INFO - Saving checkpoint at 86000 iterations 2023/10/04 02:05:15 - mmengine - INFO - Iter(train) [ 86100/480000] base_lr: 1.8469e-04 lr: 4.9365e-05 eta: 10 days, 0:44:42 time: 2.6254 data_time: 0.1175 memory: 26563 grad_norm: 1.0130 loss: 1.4527 grounding_loss_reg: 4.3507 detection_loss_cls: 0.0969 detection_loss_reg: 0.5273 caption_loss_cls: 2.8867 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8370 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:09:00 - mmengine - INFO - Iter(train) [ 86200/480000] base_lr: 1.8466e-04 lr: 4.9356e-05 eta: 10 days, 0:56:46 time: 2.6148 data_time: 0.1175 memory: 26563 grad_norm: 1.0148 loss: 1.4466 grounding_loss_reg: 4.3488 detection_loss_cls: 0.0965 detection_loss_reg: 0.5265 caption_loss_cls: 2.8852 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2509 instance_segmentation_loss_poly: 0.8358 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:12:44 - mmengine - INFO - Iter(train) [ 86300/480000] base_lr: 1.8462e-04 lr: 4.9347e-05 eta: 10 days, 1:02:35 time: 2.6079 data_time: 0.1175 memory: 25723 grad_norm: 1.0126 loss: 1.4439 grounding_loss_reg: 4.3451 detection_loss_cls: 0.0964 detection_loss_reg: 0.5265 caption_loss_cls: 2.8824 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2502 instance_segmentation_loss_poly: 0.8337 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:16:12 - mmengine - INFO - Iter(train) [ 86400/480000] base_lr: 1.8459e-04 lr: 4.9338e-05 eta: 10 days, 0:25:07 time: 2.5965 data_time: 0.1175 memory: 25723 grad_norm: 1.0196 loss: 1.4479 grounding_loss_reg: 4.3420 detection_loss_cls: 0.0964 detection_loss_reg: 0.5253 caption_loss_cls: 2.8852 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2502 instance_segmentation_loss_poly: 0.8335 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:20:12 - mmengine - INFO - Iter(train) [ 86500/480000] base_lr: 1.8455e-04 lr: 4.9329e-05 eta: 10 days, 1:15:12 time: 2.5932 data_time: 0.1175 memory: 25723 grad_norm: 1.0149 loss: 1.4519 grounding_loss_reg: 4.3412 detection_loss_cls: 0.0963 detection_loss_reg: 0.5261 caption_loss_cls: 2.8905 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2510 instance_segmentation_loss_poly: 0.8365 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:20:12 - mmengine - INFO - Saving checkpoint at 86500 iterations 2023/10/04 02:24:56 - mmengine - INFO - Iter(train) [ 86600/480000] base_lr: 1.8452e-04 lr: 4.9320e-05 eta: 10 days, 3:50:06 time: 2.5739 data_time: 0.1179 memory: 26563 grad_norm: 1.0163 loss: 1.4539 grounding_loss_reg: 4.3396 detection_loss_cls: 0.0962 detection_loss_reg: 0.5258 caption_loss_cls: 2.8863 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8385 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:29:11 - mmengine - INFO - Iter(train) [ 86700/480000] base_lr: 1.8448e-04 lr: 4.9311e-05 eta: 10 days, 5:03:49 time: 2.5565 data_time: 0.1179 memory: 26563 grad_norm: 1.0177 loss: 1.4572 grounding_loss_reg: 4.3370 detection_loss_cls: 0.0963 detection_loss_reg: 0.5263 caption_loss_cls: 2.8889 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2516 instance_segmentation_loss_poly: 0.8390 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:32:46 - mmengine - INFO - Iter(train) [ 86800/480000] base_lr: 1.8445e-04 lr: 4.9302e-05 eta: 10 days, 4:38:01 time: 2.5278 data_time: 0.1178 memory: 26563 grad_norm: 1.0216 loss: 1.4589 grounding_loss_reg: 4.3326 detection_loss_cls: 0.0963 detection_loss_reg: 0.5252 caption_loss_cls: 2.8927 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8387 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:36:32 - mmengine - INFO - Iter(train) [ 86900/480000] base_lr: 1.8441e-04 lr: 4.9293e-05 eta: 10 days, 4:40:22 time: 2.5134 data_time: 0.1179 memory: 26563 grad_norm: 1.0193 loss: 1.4539 grounding_loss_reg: 4.3310 detection_loss_cls: 0.0963 detection_loss_reg: 0.5250 caption_loss_cls: 2.8885 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8385 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:40:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_002148 2023/10/04 02:40:39 - mmengine - INFO - Iter(train) [ 87000/480000] base_lr: 1.8438e-04 lr: 4.9284e-05 eta: 10 days, 5:25:21 time: 2.5030 data_time: 0.1179 memory: 26563 grad_norm: 1.0168 loss: 1.4501 grounding_loss_reg: 4.3299 detection_loss_cls: 0.0966 detection_loss_reg: 0.5274 caption_loss_cls: 2.8897 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2516 instance_segmentation_loss_poly: 0.8379 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:40:39 - mmengine - INFO - Saving checkpoint at 87000 iterations 2023/10/04 02:46:02 - mmengine - INFO - Iter(train) [ 87100/480000] base_lr: 1.8434e-04 lr: 4.9275e-05 eta: 10 days, 8:49:54 time: 2.4921 data_time: 0.1180 memory: 26563 grad_norm: 1.0200 loss: 1.4510 grounding_loss_reg: 4.3263 detection_loss_cls: 0.0966 detection_loss_reg: 0.5274 caption_loss_cls: 2.8878 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2523 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:49:53 - mmengine - INFO - Iter(train) [ 87200/480000] base_lr: 1.8431e-04 lr: 4.9266e-05 eta: 10 days, 8:51:01 time: 2.4726 data_time: 0.1179 memory: 26563 grad_norm: 1.0199 loss: 1.4528 grounding_loss_reg: 4.3236 detection_loss_cls: 0.0964 detection_loss_reg: 0.5269 caption_loss_cls: 2.8895 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8398 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:54:15 - mmengine - INFO - Iter(train) [ 87300/480000] base_lr: 1.8427e-04 lr: 4.9256e-05 eta: 10 days, 9:54:11 time: 2.4569 data_time: 0.1179 memory: 26563 grad_norm: 1.0230 loss: 1.4589 grounding_loss_reg: 4.3215 detection_loss_cls: 0.0963 detection_loss_reg: 0.5275 caption_loss_cls: 2.8890 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2520 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0160 2023/10/04 02:58:14 - mmengine - INFO - Iter(train) [ 87400/480000] base_lr: 1.8424e-04 lr: 4.9247e-05 eta: 10 days, 10:09:26 time: 2.4408 data_time: 0.1179 memory: 26563 grad_norm: 1.0239 loss: 1.4586 grounding_loss_reg: 4.3198 detection_loss_cls: 0.0964 detection_loss_reg: 0.5280 caption_loss_cls: 2.8841 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2517 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0160 2023/10/04 03:02:18 - mmengine - INFO - Iter(train) [ 87500/480000] base_lr: 1.8420e-04 lr: 4.9238e-05 eta: 10 days, 10:34:19 time: 2.4177 data_time: 0.1179 memory: 26563 grad_norm: 1.0253 loss: 1.4637 grounding_loss_reg: 4.3168 detection_loss_cls: 0.0959 detection_loss_reg: 0.5280 caption_loss_cls: 2.8822 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0160 2023/10/04 03:02:18 - mmengine - INFO - Saving checkpoint at 87500 iterations 2023/10/04 03:07:09 - mmengine - INFO - Iter(train) [ 87600/480000] base_lr: 1.8417e-04 lr: 4.9229e-05 eta: 10 days, 12:21:49 time: 2.3938 data_time: 0.1177 memory: 26563 grad_norm: 1.0349 loss: 1.4731 grounding_loss_reg: 4.3160 detection_loss_cls: 0.0958 detection_loss_reg: 0.5279 caption_loss_cls: 2.8810 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2513 instance_segmentation_loss_poly: 0.8389 semantic_segmentation_loss_cls: 0.0160 2023/10/04 03:11:37 - mmengine - INFO - Iter(train) [ 87700/480000] base_lr: 1.8413e-04 lr: 4.9220e-05 eta: 10 days, 13:21:01 time: 2.3849 data_time: 0.1177 memory: 26563 grad_norm: 1.0318 loss: 1.4689 grounding_loss_reg: 4.3151 detection_loss_cls: 0.0953 detection_loss_reg: 0.5265 caption_loss_cls: 2.8796 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8382 semantic_segmentation_loss_cls: 0.0160 2023/10/04 03:16:04 - mmengine - INFO - Iter(train) [ 87800/480000] base_lr: 1.8410e-04 lr: 4.9211e-05 eta: 10 days, 14:17:19 time: 2.3733 data_time: 0.1177 memory: 26563 grad_norm: 1.0317 loss: 1.4685 grounding_loss_reg: 4.3149 detection_loss_cls: 0.0955 detection_loss_reg: 0.5282 caption_loss_cls: 2.8796 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2506 instance_segmentation_loss_poly: 0.8347 semantic_segmentation_loss_cls: 0.0160 2023/10/04 03:19:48 - mmengine - INFO - Iter(train) [ 87900/480000] base_lr: 1.8406e-04 lr: 4.9202e-05 eta: 10 days, 13:57:21 time: 2.3470 data_time: 0.1177 memory: 26563 grad_norm: 1.0372 loss: 1.4830 grounding_loss_reg: 4.3131 detection_loss_cls: 0.0954 detection_loss_reg: 0.5286 caption_loss_cls: 2.8855 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2508 instance_segmentation_loss_poly: 0.8354 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:24:08 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_002148 2023/10/04 03:24:08 - mmengine - INFO - Iter(train) [ 88000/480000] base_lr: 1.8403e-04 lr: 4.9193e-05 eta: 10 days, 14:37:19 time: 2.3384 data_time: 0.1177 memory: 26563 grad_norm: 1.0353 loss: 1.4723 grounding_loss_reg: 4.3106 detection_loss_cls: 0.0953 detection_loss_reg: 0.5288 caption_loss_cls: 2.8833 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8340 semantic_segmentation_loss_cls: 0.0160 2023/10/04 03:24:08 - mmengine - INFO - Saving checkpoint at 88000 iterations 2023/10/04 03:28:56 - mmengine - INFO - Iter(train) [ 88100/480000] base_lr: 1.8399e-04 lr: 4.9183e-05 eta: 10 days, 16:00:05 time: 2.3694 data_time: 0.1328 memory: 26563 grad_norm: 1.0335 loss: 1.4695 grounding_loss_reg: 4.3074 detection_loss_cls: 0.0953 detection_loss_reg: 0.5283 caption_loss_cls: 2.8794 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2499 instance_segmentation_loss_poly: 0.8332 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:33:08 - mmengine - INFO - Iter(train) [ 88200/480000] base_lr: 1.8396e-04 lr: 4.9174e-05 eta: 10 days, 16:21:38 time: 2.3888 data_time: 0.1328 memory: 26563 grad_norm: 1.0313 loss: 1.4774 grounding_loss_reg: 4.3056 detection_loss_cls: 0.0953 detection_loss_reg: 0.5285 caption_loss_cls: 2.8820 instance_segmentation_loss_cls: 0.0563 instance_segmentation_loss_reg: 0.2491 instance_segmentation_loss_poly: 0.8318 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:36:57 - mmengine - INFO - Iter(train) [ 88300/480000] base_lr: 1.8392e-04 lr: 4.9165e-05 eta: 10 days, 16:08:05 time: 2.4009 data_time: 0.1328 memory: 26563 grad_norm: 1.0308 loss: 1.4844 grounding_loss_reg: 4.3053 detection_loss_cls: 0.0952 detection_loss_reg: 0.5287 caption_loss_cls: 2.8832 instance_segmentation_loss_cls: 0.0564 instance_segmentation_loss_reg: 0.2491 instance_segmentation_loss_poly: 0.8315 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:40:51 - mmengine - INFO - Iter(train) [ 88400/480000] base_lr: 1.8389e-04 lr: 4.9156e-05 eta: 10 days, 16:01:57 time: 2.4105 data_time: 0.1328 memory: 26563 grad_norm: 1.0289 loss: 1.4861 grounding_loss_reg: 4.3039 detection_loss_cls: 0.0953 detection_loss_reg: 0.5298 caption_loss_cls: 2.8875 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2494 instance_segmentation_loss_poly: 0.8328 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:44:39 - mmengine - INFO - Iter(train) [ 88500/480000] base_lr: 1.8385e-04 lr: 4.9147e-05 eta: 10 days, 15:47:04 time: 2.4163 data_time: 0.1327 memory: 26563 grad_norm: 1.0311 loss: 1.4904 grounding_loss_reg: 4.3000 detection_loss_cls: 0.0952 detection_loss_reg: 0.5295 caption_loss_cls: 2.8813 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8341 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:44:39 - mmengine - INFO - Saving checkpoint at 88500 iterations 2023/10/04 03:49:44 - mmengine - INFO - Iter(train) [ 88600/480000] base_lr: 1.8382e-04 lr: 4.9138e-05 eta: 10 days, 17:21:55 time: 2.4282 data_time: 0.1326 memory: 26563 grad_norm: 1.0305 loss: 1.4834 grounding_loss_reg: 4.2988 detection_loss_cls: 0.0950 detection_loss_reg: 0.5284 caption_loss_cls: 2.8795 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2495 instance_segmentation_loss_poly: 0.8317 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:53:52 - mmengine - INFO - Iter(train) [ 88700/480000] base_lr: 1.8378e-04 lr: 4.9128e-05 eta: 10 days, 17:34:11 time: 2.4402 data_time: 0.1326 memory: 26563 grad_norm: 1.0295 loss: 1.4887 grounding_loss_reg: 4.2972 detection_loss_cls: 0.0953 detection_loss_reg: 0.5310 caption_loss_cls: 2.8794 instance_segmentation_loss_cls: 0.0562 instance_segmentation_loss_reg: 0.2488 instance_segmentation_loss_poly: 0.8296 semantic_segmentation_loss_cls: 0.0159 2023/10/04 03:58:39 - mmengine - INFO - Iter(train) [ 88800/480000] base_lr: 1.8375e-04 lr: 4.9119e-05 eta: 10 days, 18:38:09 time: 2.4582 data_time: 0.1327 memory: 26563 grad_norm: 1.0314 loss: 1.4908 grounding_loss_reg: 4.2943 detection_loss_cls: 0.0952 detection_loss_reg: 0.5302 caption_loss_cls: 2.8790 instance_segmentation_loss_cls: 0.0561 instance_segmentation_loss_reg: 0.2489 instance_segmentation_loss_poly: 0.8297 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:02:24 - mmengine - INFO - Iter(train) [ 88900/480000] base_lr: 1.8371e-04 lr: 4.9110e-05 eta: 10 days, 18:16:18 time: 2.4594 data_time: 0.1326 memory: 25723 grad_norm: 1.0312 loss: 1.4990 grounding_loss_reg: 4.2926 detection_loss_cls: 0.0954 detection_loss_reg: 0.5313 caption_loss_cls: 2.8835 instance_segmentation_loss_cls: 0.0560 instance_segmentation_loss_reg: 0.2484 instance_segmentation_loss_poly: 0.8289 semantic_segmentation_loss_cls: 0.0160 2023/10/04 04:06:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_002148 2023/10/04 04:06:09 - mmengine - INFO - Iter(train) [ 89000/480000] base_lr: 1.8367e-04 lr: 4.9101e-05 eta: 10 days, 17:55:24 time: 2.4609 data_time: 0.1326 memory: 26563 grad_norm: 1.0310 loss: 1.4979 grounding_loss_reg: 4.2898 detection_loss_cls: 0.0956 detection_loss_reg: 0.5327 caption_loss_cls: 2.8813 instance_segmentation_loss_cls: 0.0561 instance_segmentation_loss_reg: 0.2486 instance_segmentation_loss_poly: 0.8299 semantic_segmentation_loss_cls: 0.0160 2023/10/04 04:06:09 - mmengine - INFO - Saving checkpoint at 89000 iterations 2023/10/04 04:11:38 - mmengine - INFO - Iter(train) [ 89100/480000] base_lr: 1.8364e-04 lr: 4.9091e-05 eta: 10 days, 19:48:37 time: 2.4708 data_time: 0.1325 memory: 26563 grad_norm: 1.0305 loss: 1.5005 grounding_loss_reg: 4.2867 detection_loss_cls: 0.0957 detection_loss_reg: 0.5329 caption_loss_cls: 2.8849 instance_segmentation_loss_cls: 0.0563 instance_segmentation_loss_reg: 0.2485 instance_segmentation_loss_poly: 0.8289 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:15:51 - mmengine - INFO - Iter(train) [ 89200/480000] base_lr: 1.8360e-04 lr: 4.9082e-05 eta: 10 days, 20:01:48 time: 2.4814 data_time: 0.1325 memory: 26563 grad_norm: 1.0316 loss: 1.5061 grounding_loss_reg: 4.2841 detection_loss_cls: 0.0954 detection_loss_reg: 0.5320 caption_loss_cls: 2.8817 instance_segmentation_loss_cls: 0.0563 instance_segmentation_loss_reg: 0.2492 instance_segmentation_loss_poly: 0.8316 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:20:19 - mmengine - INFO - Iter(train) [ 89300/480000] base_lr: 1.8357e-04 lr: 4.9073e-05 eta: 10 days, 20:32:57 time: 2.4946 data_time: 0.1326 memory: 26563 grad_norm: 1.0325 loss: 1.5017 grounding_loss_reg: 4.2815 detection_loss_cls: 0.0953 detection_loss_reg: 0.5311 caption_loss_cls: 2.8733 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2504 instance_segmentation_loss_poly: 0.8338 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:24:28 - mmengine - INFO - Iter(train) [ 89400/480000] base_lr: 1.8353e-04 lr: 4.9064e-05 eta: 10 days, 20:39:54 time: 2.5029 data_time: 0.1326 memory: 26563 grad_norm: 1.0287 loss: 1.4949 grounding_loss_reg: 4.2785 detection_loss_cls: 0.0955 detection_loss_reg: 0.5325 caption_loss_cls: 2.8735 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2504 instance_segmentation_loss_poly: 0.8336 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:29:15 - mmengine - INFO - Iter(train) [ 89500/480000] base_lr: 1.8350e-04 lr: 4.9054e-05 eta: 10 days, 21:30:45 time: 2.5196 data_time: 0.1326 memory: 26563 grad_norm: 1.0258 loss: 1.4991 grounding_loss_reg: 4.2756 detection_loss_cls: 0.0952 detection_loss_reg: 0.5317 caption_loss_cls: 2.8739 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2525 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:29:15 - mmengine - INFO - Saving checkpoint at 89500 iterations 2023/10/04 04:34:41 - mmengine - INFO - Iter(train) [ 89600/480000] base_lr: 1.8346e-04 lr: 4.9045e-05 eta: 10 days, 23:05:54 time: 2.5378 data_time: 0.1328 memory: 26563 grad_norm: 1.0222 loss: 1.4926 grounding_loss_reg: 4.2728 detection_loss_cls: 0.0953 detection_loss_reg: 0.5313 caption_loss_cls: 2.8752 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8360 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:38:39 - mmengine - INFO - Iter(train) [ 89700/480000] base_lr: 1.8342e-04 lr: 4.9036e-05 eta: 10 days, 22:56:36 time: 2.5401 data_time: 0.1328 memory: 26563 grad_norm: 1.0176 loss: 1.4925 grounding_loss_reg: 4.2710 detection_loss_cls: 0.0954 detection_loss_reg: 0.5323 caption_loss_cls: 2.8786 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8350 semantic_segmentation_loss_cls: 0.0159 2023/10/04 04:42:50 - mmengine - INFO - Iter(train) [ 89800/480000] base_lr: 1.8339e-04 lr: 4.9026e-05 eta: 10 days, 23:01:58 time: 2.5464 data_time: 0.1328 memory: 25723 grad_norm: 1.0175 loss: 1.4944 grounding_loss_reg: 4.2707 detection_loss_cls: 0.0955 detection_loss_reg: 0.5329 caption_loss_cls: 2.8783 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2513 instance_segmentation_loss_poly: 0.8350 semantic_segmentation_loss_cls: 0.0160 2023/10/04 04:47:07 - mmengine - INFO - Iter(train) [ 89900/480000] base_lr: 1.8335e-04 lr: 4.9017e-05 eta: 10 days, 23:13:41 time: 2.5517 data_time: 0.1327 memory: 25723 grad_norm: 1.0144 loss: 1.4913 grounding_loss_reg: 4.2687 detection_loss_cls: 0.0955 detection_loss_reg: 0.5325 caption_loss_cls: 2.8807 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8356 semantic_segmentation_loss_cls: 0.0160 2023/10/04 04:51:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_002148 2023/10/04 04:51:01 - mmengine - INFO - Iter(train) [ 90000/480000] base_lr: 1.8332e-04 lr: 4.9008e-05 eta: 10 days, 22:59:58 time: 2.5582 data_time: 0.1327 memory: 26563 grad_norm: 1.0156 loss: 1.4913 grounding_loss_reg: 4.2667 detection_loss_cls: 0.0954 detection_loss_reg: 0.5322 caption_loss_cls: 2.8836 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.8358 semantic_segmentation_loss_cls: 0.0160 2023/10/04 04:51:01 - mmengine - INFO - Saving checkpoint at 90000 iterations 2023/10/04 04:56:47 - mmengine - INFO - Evaluating bbox... 2023/10/04 04:57:49 - mmengine - INFO - bbox_mAP_copypaste: 0.300 0.431 0.330 0.168 0.358 0.392 2023/10/04 04:57:49 - mmengine - INFO - Evaluating segm... 2023/10/04 04:59:06 - mmengine - INFO - segm_mAP_copypaste: 0.175 0.345 0.160 0.071 0.218 0.287 2023/10/04 05:00:33 - mmengine - INFO - Evaluating bbox... 2023/10/04 05:01:37 - mmengine - INFO - bbox_mAP_copypaste: 0.310 0.445 0.340 0.171 0.360 0.414 2023/10/04 05:05:03 - mmengine - INFO - per class results: 2023/10/04 05:05:03 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 69.06 | 82.3 | | building | 75.25 | 91.58 | | sky | 91.45 | 97.26 | | floor | 76.64 | 87.61 | | tree | 70.16 | 86.19 | | ceiling | 76.13 | 95.77 | | road | 75.81 | 80.57 | | bed | 80.35 | 94.22 | | windowpane | 56.13 | 73.68 | | grass | 63.62 | 89.25 | | cabinet | 53.72 | 67.81 | | sidewalk | 56.46 | 77.69 | | person | 75.03 | 92.02 | | earth | 29.74 | 38.8 | | door | 34.62 | 42.39 | | table | 39.35 | 54.82 | | mountain | 48.5 | 62.96 | | plant | 46.37 | 69.65 | | curtain | 64.86 | 83.57 | | chair | 46.66 | 66.43 | | car | 78.36 | 88.57 | | water | 47.34 | 61.17 | | painting | 60.94 | 81.12 | | sofa | 57.77 | 80.36 | | shelf | 34.91 | 64.63 | | house | 13.42 | 15.36 | | sea | 43.86 | 53.01 | | mirror | 54.93 | 69.71 | | rug | 56.95 | 63.63 | | field | 20.67 | 25.41 | | armchair | 24.22 | 36.06 | | seat | 47.68 | 55.83 | | fence | 24.47 | 34.47 | | desk | 22.78 | 57.79 | | rock | 39.58 | 74.83 | | wardrobe | 28.67 | 30.86 | | lamp | 43.09 | 74.44 | | bathtub | 49.53 | 51.72 | | railing | 9.91 | 10.2 | | cushion | 41.04 | 46.8 | | base | 14.72 | 25.12 | | box | 15.29 | 17.75 | | column | 35.87 | 55.01 | | signboard | 29.85 | 41.17 | | chest of drawers | 22.54 | 25.27 | | counter | 12.34 | 26.9 | | sand | 43.51 | 58.29 | | sink | 47.08 | 70.53 | | skyscraper | 41.02 | 51.25 | | fireplace | 54.28 | 64.3 | | refrigerator | 52.1 | 70.98 | | grandstand | 34.74 | 67.24 | | path | 19.76 | 28.87 | | stairs | 34.2 | 47.01 | | runway | 60.82 | 64.45 | | case | 37.77 | 52.27 | | pool table | 82.23 | 93.83 | | pillow | 15.55 | 17.21 | | screen door | 45.04 | 56.97 | | stairway | 29.59 | 39.55 | | river | 18.75 | 40.24 | | bridge | 65.91 | 85.92 | | bookcase | 1.85 | 1.88 | | blind | 2.79 | 2.8 | | coffee table | 10.05 | 10.31 | | toilet | 75.88 | 84.35 | | flower | 22.26 | 36.36 | | book | 39.02 | 58.13 | | hill | 1.83 | 2.54 | | bench | 40.28 | 65.62 | | countertop | 2.61 | 2.62 | | stove | 48.85 | 69.59 | | palm | 36.2 | 43.37 | | kitchen island | 0.0 | 0.0 | | computer | 45.53 | 52.75 | | swivel chair | 0.48 | 0.48 | | boat | 70.09 | 82.24 | | bar | 4.68 | 5.1 | | arcade machine | 21.82 | 30.81 | | hovel | 0.0 | 0.0 | | bus | 88.71 | 91.48 | | towel | 51.36 | 60.08 | | light | 17.16 | 21.43 | | truck | 31.99 | 66.82 | | tower | 14.68 | 19.04 | | chandelier | 33.12 | 37.18 | | awning | 1.83 | 2.16 | | streetlight | 10.74 | 12.91 | | booth | 15.69 | 16.06 | | television receiver | 43.99 | 74.53 | | airplane | 54.89 | 65.33 | | dirt track | 0.0 | 0.0 | | apparel | 26.2 | 53.46 | | pole | 16.72 | 52.27 | | land | 0.0 | 0.0 | | bannister | 0.06 | 0.08 | | escalator | 9.6 | 11.23 | | ottoman | 28.22 | 38.07 | | bottle | 22.07 | 34.28 | | buffet | 26.65 | 29.72 | | poster | 0.92 | 0.95 | | stage | 1.98 | 2.1 | | van | 6.99 | 7.15 | | ship | 3.21 | 3.29 | | fountain | 6.33 | 6.47 | | conveyer belt | 0.99 | 0.99 | | canopy | 2.62 | 2.91 | | washer | 53.17 | 59.63 | | plaything | 18.65 | 21.47 | | swimming pool | 25.05 | 90.52 | | stool | 21.24 | 24.59 | | barrel | 36.33 | 67.69 | | basket | 23.45 | 25.95 | | waterfall | 40.78 | 98.33 | | tent | 88.52 | 93.05 | | bag | 3.49 | 3.51 | | minibike | 63.64 | 75.9 | | cradle | 60.63 | 77.93 | | oven | 16.42 | 34.74 | | ball | 40.24 | 60.91 | | food | 32.57 | 34.84 | | step | 0.08 | 0.08 | | tank | 13.18 | 14.24 | | trade name | 11.26 | 13.08 | | microwave | 81.12 | 85.97 | | pot | 4.66 | 4.72 | | animal | 43.96 | 45.27 | | bicycle | 44.03 | 56.01 | | lake | 0.0 | 0.0 | | dishwasher | 0.0 | 0.0 | | screen | 34.48 | 80.55 | | blanket | 0.34 | 0.39 | | sculpture | 29.87 | 45.81 | | hood | 13.89 | 14.09 | | sconce | 0.0 | 0.0 | | vase | 22.48 | 50.74 | | traffic light | 22.05 | 24.57 | | tray | 1.32 | 1.79 | | ashcan | 24.64 | 30.67 | | fan | 21.04 | 22.12 | | pier | 40.18 | 50.21 | | crt screen | 0.0 | 0.0 | | plate | 30.77 | 35.49 | | monitor | 0.0 | 0.0 | | bulletin board | 0.06 | 0.06 | | shower | 0.0 | 0.0 | | radiator | 1.96 | 1.97 | | glass | 2.17 | 2.2 | | clock | 19.28 | 23.9 | | flag | 47.25 | 49.41 | +---------------------+-------+-------+ 2023/10/04 05:05:30 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.3100 coco/bbox_mAP_50: 0.4450 coco/bbox_mAP_75: 0.3400 coco/bbox_mAP_s: 0.1710 coco/bbox_mAP_m: 0.3600 coco/bbox_mAP_l: 0.4140 coco/segm_mAP: 0.1750 coco/segm_mAP_50: 0.3450 coco/segm_mAP_75: 0.1600 coco/segm_mAP_s: 0.0710 coco/segm_mAP_m: 0.2180 coco/segm_mAP_l: 0.2870 Bleu_1: 0.5948 Bleu_2: 0.4320 Bleu_3: 0.3068 Bleu_4: 0.2157 METEOR: 0.2068 ROUGE_L: 0.4675 CIDEr: 0.7014 SPICE: 0.1457 aAcc: 76.9000 mIoU: 32.1200 mAcc: 42.6100 visual-grounding/miou: 0.5599 visual-grounding/acc: 0.6387 data_time: 0.0016 time: 0.2503 2023/10/04 05:09:15 - mmengine - INFO - Iter(train) [ 90100/480000] base_lr: 1.8328e-04 lr: 4.8998e-05 eta: 10 days, 22:40:08 time: 2.5434 data_time: 0.1181 memory: 27842 grad_norm: 1.0157 loss: 1.4950 grounding_loss_reg: 4.2670 detection_loss_cls: 0.0961 detection_loss_reg: 0.5344 caption_loss_cls: 2.8848 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2525 instance_segmentation_loss_poly: 0.8380 semantic_segmentation_loss_cls: 0.0160 2023/10/04 05:13:17 - mmengine - INFO - Iter(train) [ 90200/480000] base_lr: 1.8324e-04 lr: 4.8989e-05 eta: 10 days, 22:35:49 time: 2.5476 data_time: 0.1181 memory: 26563 grad_norm: 1.0121 loss: 1.4913 grounding_loss_reg: 4.2666 detection_loss_cls: 0.0959 detection_loss_reg: 0.5325 caption_loss_cls: 2.8858 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2524 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0159 2023/10/04 05:17:21 - mmengine - INFO - Iter(train) [ 90300/480000] base_lr: 1.8321e-04 lr: 4.8980e-05 eta: 10 days, 22:33:13 time: 2.5527 data_time: 0.1182 memory: 26563 grad_norm: 1.0129 loss: 1.4908 grounding_loss_reg: 4.2644 detection_loss_cls: 0.0960 detection_loss_reg: 0.5336 caption_loss_cls: 2.8845 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2527 instance_segmentation_loss_poly: 0.8387 semantic_segmentation_loss_cls: 0.0160 2023/10/04 05:20:59 - mmengine - INFO - Iter(train) [ 90400/480000] base_lr: 1.8317e-04 lr: 4.8970e-05 eta: 10 days, 22:04:35 time: 2.5553 data_time: 0.1182 memory: 26563 grad_norm: 1.0083 loss: 1.4894 grounding_loss_reg: 4.2649 detection_loss_cls: 0.0963 detection_loss_reg: 0.5341 caption_loss_cls: 2.8869 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2533 instance_segmentation_loss_poly: 0.8395 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:04:36 - mmengine - INFO - Iter(train) [ 90500/480000] base_lr: 1.8314e-04 lr: 4.8961e-05 eta: 8 days, 2:15:57 time: 2.4865 data_time: 0.1174 memory: 26651 grad_norm: 1.0236 loss: 1.4925 grounding_loss_reg: 4.2575 detection_loss_cls: 0.0961 detection_loss_reg: 0.5350 caption_loss_cls: 2.8799 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8390 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:04:36 - mmengine - INFO - Saving checkpoint at 90500 iterations 2023/10/04 06:08:50 - mmengine - INFO - Iter(train) [ 90600/480000] base_lr: 1.8310e-04 lr: 4.8952e-05 eta: 8 days, 15:30:23 time: 2.4789 data_time: 0.1170 memory: 26651 grad_norm: 1.0221 loss: 1.4973 grounding_loss_reg: 4.2563 detection_loss_cls: 0.0962 detection_loss_reg: 0.5360 caption_loss_cls: 2.8831 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2543 instance_segmentation_loss_poly: 0.8407 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:12:10 - mmengine - INFO - Iter(train) [ 90700/480000] base_lr: 1.8306e-04 lr: 4.8942e-05 eta: 8 days, 16:48:45 time: 2.4653 data_time: 0.1170 memory: 26651 grad_norm: 1.0219 loss: 1.4957 grounding_loss_reg: 4.2535 detection_loss_cls: 0.0961 detection_loss_reg: 0.5360 caption_loss_cls: 2.8855 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2547 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:15:42 - mmengine - INFO - Iter(train) [ 90800/480000] base_lr: 1.8303e-04 lr: 4.8933e-05 eta: 8 days, 19:20:30 time: 2.4647 data_time: 0.1170 memory: 26651 grad_norm: 1.0160 loss: 1.4906 grounding_loss_reg: 4.2531 detection_loss_cls: 0.0962 detection_loss_reg: 0.5357 caption_loss_cls: 2.8792 instance_segmentation_loss_cls: 0.0577 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8435 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:19:20 - mmengine - INFO - Iter(train) [ 90900/480000] base_lr: 1.8299e-04 lr: 4.8923e-05 eta: 8 days, 21:56:54 time: 2.4624 data_time: 0.1170 memory: 26651 grad_norm: 1.0182 loss: 1.4945 grounding_loss_reg: 4.2503 detection_loss_cls: 0.0964 detection_loss_reg: 0.5369 caption_loss_cls: 2.8794 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8416 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:22:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_052320 2023/10/04 06:22:43 - mmengine - INFO - Iter(train) [ 91000/480000] base_lr: 1.8295e-04 lr: 4.8914e-05 eta: 8 days, 22:26:51 time: 2.4516 data_time: 0.1171 memory: 26651 grad_norm: 1.0199 loss: 1.5011 grounding_loss_reg: 4.2479 detection_loss_cls: 0.0964 detection_loss_reg: 0.5376 caption_loss_cls: 2.8813 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8412 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:22:43 - mmengine - INFO - Saving checkpoint at 91000 iterations 2023/10/04 06:27:33 - mmengine - INFO - Iter(train) [ 91100/480000] base_lr: 1.8292e-04 lr: 4.8905e-05 eta: 9 days, 7:18:44 time: 2.4430 data_time: 0.1170 memory: 26651 grad_norm: 1.0173 loss: 1.5031 grounding_loss_reg: 4.2449 detection_loss_cls: 0.0965 detection_loss_reg: 0.5406 caption_loss_cls: 2.8800 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2555 instance_segmentation_loss_poly: 0.8426 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:30:55 - mmengine - INFO - Iter(train) [ 91200/480000] base_lr: 1.8288e-04 lr: 4.8895e-05 eta: 9 days, 6:51:08 time: 2.4360 data_time: 0.1170 memory: 25810 grad_norm: 1.0173 loss: 1.5018 grounding_loss_reg: 4.2423 detection_loss_cls: 0.0966 detection_loss_reg: 0.5408 caption_loss_cls: 2.8792 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8435 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:34:49 - mmengine - INFO - Iter(train) [ 91300/480000] base_lr: 1.8284e-04 lr: 4.8886e-05 eta: 9 days, 9:07:14 time: 2.4291 data_time: 0.1170 memory: 26651 grad_norm: 1.0139 loss: 1.4935 grounding_loss_reg: 4.2412 detection_loss_cls: 0.0967 detection_loss_reg: 0.5415 caption_loss_cls: 2.8781 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2552 instance_segmentation_loss_poly: 0.8424 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:38:40 - mmengine - INFO - Iter(train) [ 91400/480000] base_lr: 1.8281e-04 lr: 4.8876e-05 eta: 9 days, 10:47:39 time: 2.4271 data_time: 0.1170 memory: 26651 grad_norm: 1.0167 loss: 1.4961 grounding_loss_reg: 4.2357 detection_loss_cls: 0.0966 detection_loss_reg: 0.5409 caption_loss_cls: 2.8800 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8442 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:42:41 - mmengine - INFO - Iter(train) [ 91500/480000] base_lr: 1.8277e-04 lr: 4.8867e-05 eta: 9 days, 12:57:10 time: 2.4262 data_time: 0.1170 memory: 26651 grad_norm: 1.0181 loss: 1.4943 grounding_loss_reg: 4.2310 detection_loss_cls: 0.0966 detection_loss_reg: 0.5405 caption_loss_cls: 2.8763 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2553 instance_segmentation_loss_poly: 0.8427 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:42:41 - mmengine - INFO - Saving checkpoint at 91500 iterations 2023/10/04 06:47:13 - mmengine - INFO - Iter(train) [ 91600/480000] base_lr: 1.8274e-04 lr: 4.8857e-05 eta: 9 days, 16:55:27 time: 2.4214 data_time: 0.1172 memory: 26651 grad_norm: 1.0116 loss: 1.4844 grounding_loss_reg: 4.2305 detection_loss_cls: 0.0963 detection_loss_reg: 0.5388 caption_loss_cls: 2.8726 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2558 instance_segmentation_loss_poly: 0.8439 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:51:18 - mmengine - INFO - Iter(train) [ 91700/480000] base_lr: 1.8270e-04 lr: 4.8848e-05 eta: 9 days, 18:42:32 time: 2.4158 data_time: 0.1172 memory: 26651 grad_norm: 1.0150 loss: 1.4871 grounding_loss_reg: 4.2303 detection_loss_cls: 0.0964 detection_loss_reg: 0.5390 caption_loss_cls: 2.8703 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8447 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:55:09 - mmengine - INFO - Iter(train) [ 91800/480000] base_lr: 1.8266e-04 lr: 4.8838e-05 eta: 9 days, 19:26:21 time: 2.4066 data_time: 0.1172 memory: 26651 grad_norm: 1.0144 loss: 1.4875 grounding_loss_reg: 4.2293 detection_loss_cls: 0.0964 detection_loss_reg: 0.5383 caption_loss_cls: 2.8708 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8456 semantic_segmentation_loss_cls: 0.0160 2023/10/04 06:59:12 - mmengine - INFO - Iter(train) [ 91900/480000] base_lr: 1.8263e-04 lr: 4.8829e-05 eta: 9 days, 20:46:43 time: 2.4114 data_time: 0.1172 memory: 26651 grad_norm: 1.0109 loss: 1.4806 grounding_loss_reg: 4.2267 detection_loss_cls: 0.0964 detection_loss_reg: 0.5389 caption_loss_cls: 2.8690 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.8471 semantic_segmentation_loss_cls: 0.0159 2023/10/04 07:02:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_052320 2023/10/04 07:02:44 - mmengine - INFO - Iter(train) [ 92000/480000] base_lr: 1.8259e-04 lr: 4.8819e-05 eta: 9 days, 20:19:52 time: 2.3995 data_time: 0.1172 memory: 26651 grad_norm: 1.0104 loss: 1.4849 grounding_loss_reg: 4.2250 detection_loss_cls: 0.0964 detection_loss_reg: 0.5391 caption_loss_cls: 2.8704 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2559 instance_segmentation_loss_poly: 0.8444 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:02:44 - mmengine - INFO - Saving checkpoint at 92000 iterations 2023/10/04 07:07:24 - mmengine - INFO - Iter(train) [ 92100/480000] base_lr: 1.8255e-04 lr: 4.8810e-05 eta: 9 days, 23:23:15 time: 2.3975 data_time: 0.1172 memory: 26651 grad_norm: 1.0058 loss: 1.4790 grounding_loss_reg: 4.2243 detection_loss_cls: 0.0965 detection_loss_reg: 0.5402 caption_loss_cls: 2.8673 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8440 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:11:19 - mmengine - INFO - Iter(train) [ 92200/480000] base_lr: 1.8252e-04 lr: 4.8800e-05 eta: 9 days, 23:54:59 time: 2.3932 data_time: 0.1172 memory: 26651 grad_norm: 1.0068 loss: 1.4781 grounding_loss_reg: 4.2229 detection_loss_cls: 0.0967 detection_loss_reg: 0.5410 caption_loss_cls: 2.8704 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8434 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:15:10 - mmengine - INFO - Iter(train) [ 92300/480000] base_lr: 1.8248e-04 lr: 4.8791e-05 eta: 10 days, 0:15:09 time: 2.3937 data_time: 0.1172 memory: 25810 grad_norm: 1.0049 loss: 1.4721 grounding_loss_reg: 4.2200 detection_loss_cls: 0.0968 detection_loss_reg: 0.5415 caption_loss_cls: 2.8744 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8432 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:18:33 - mmengine - INFO - Iter(train) [ 92400/480000] base_lr: 1.8244e-04 lr: 4.8781e-05 eta: 9 days, 23:18:25 time: 2.3860 data_time: 0.1172 memory: 25810 grad_norm: 1.0123 loss: 1.4736 grounding_loss_reg: 4.2180 detection_loss_cls: 0.0973 detection_loss_reg: 0.5424 caption_loss_cls: 2.8718 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2553 instance_segmentation_loss_poly: 0.8428 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:22:32 - mmengine - INFO - Iter(train) [ 92500/480000] base_lr: 1.8240e-04 lr: 4.8772e-05 eta: 9 days, 23:58:00 time: 2.3888 data_time: 0.1172 memory: 25810 grad_norm: 1.0085 loss: 1.4682 grounding_loss_reg: 4.2179 detection_loss_cls: 0.0971 detection_loss_reg: 0.5425 caption_loss_cls: 2.8722 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8432 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:22:32 - mmengine - INFO - Saving checkpoint at 92500 iterations 2023/10/04 07:27:30 - mmengine - INFO - Iter(train) [ 92600/480000] base_lr: 1.8237e-04 lr: 4.8762e-05 eta: 10 days, 2:59:33 time: 2.3870 data_time: 0.1171 memory: 26651 grad_norm: 1.0113 loss: 1.4725 grounding_loss_reg: 4.2172 detection_loss_cls: 0.0972 detection_loss_reg: 0.5437 caption_loss_cls: 2.8643 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2555 instance_segmentation_loss_poly: 0.8439 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:31:54 - mmengine - INFO - Iter(train) [ 92700/480000] base_lr: 1.8233e-04 lr: 4.8753e-05 eta: 10 days, 4:28:05 time: 2.3910 data_time: 0.1172 memory: 26651 grad_norm: 1.0133 loss: 1.4709 grounding_loss_reg: 4.2180 detection_loss_cls: 0.0973 detection_loss_reg: 0.5434 caption_loss_cls: 2.8659 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.8446 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:35:40 - mmengine - INFO - Iter(train) [ 92800/480000] base_lr: 1.8229e-04 lr: 4.8743e-05 eta: 10 days, 4:20:20 time: 2.3757 data_time: 0.1171 memory: 26651 grad_norm: 1.0162 loss: 1.4689 grounding_loss_reg: 4.2158 detection_loss_cls: 0.0977 detection_loss_reg: 0.5438 caption_loss_cls: 2.8618 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2562 instance_segmentation_loss_poly: 0.8440 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:39:32 - mmengine - INFO - Iter(train) [ 92900/480000] base_lr: 1.8226e-04 lr: 4.8733e-05 eta: 10 days, 4:27:14 time: 2.3775 data_time: 0.1172 memory: 26651 grad_norm: 1.0126 loss: 1.4589 grounding_loss_reg: 4.2133 detection_loss_cls: 0.0978 detection_loss_reg: 0.5438 caption_loss_cls: 2.8597 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2558 instance_segmentation_loss_poly: 0.8433 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:43:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_052320 2023/10/04 07:43:45 - mmengine - INFO - Iter(train) [ 93000/480000] base_lr: 1.8222e-04 lr: 4.8724e-05 eta: 10 days, 5:18:54 time: 2.3846 data_time: 0.1172 memory: 26651 grad_norm: 1.0100 loss: 1.4619 grounding_loss_reg: 4.2140 detection_loss_cls: 0.0975 detection_loss_reg: 0.5429 caption_loss_cls: 2.8643 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8434 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:43:45 - mmengine - INFO - Saving checkpoint at 93000 iterations 2023/10/04 07:49:10 - mmengine - INFO - Iter(train) [ 93100/480000] base_lr: 1.8218e-04 lr: 4.8714e-05 eta: 10 days, 8:36:28 time: 2.3836 data_time: 0.1177 memory: 26651 grad_norm: 1.0135 loss: 1.4660 grounding_loss_reg: 4.2109 detection_loss_cls: 0.0973 detection_loss_reg: 0.5413 caption_loss_cls: 2.8630 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8447 semantic_segmentation_loss_cls: 0.0160 2023/10/04 07:53:10 - mmengine - INFO - Iter(train) [ 93200/480000] base_lr: 1.8215e-04 lr: 4.8705e-05 eta: 10 days, 8:49:25 time: 2.3802 data_time: 0.1176 memory: 26651 grad_norm: 1.0138 loss: 1.4643 grounding_loss_reg: 4.2111 detection_loss_cls: 0.0973 detection_loss_reg: 0.5411 caption_loss_cls: 2.8604 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8444 semantic_segmentation_loss_cls: 0.0159 2023/10/04 07:57:51 - mmengine - INFO - Iter(train) [ 93300/480000] base_lr: 1.8211e-04 lr: 4.8695e-05 eta: 10 days, 10:22:52 time: 2.3835 data_time: 0.1176 memory: 26651 grad_norm: 1.0167 loss: 1.4706 grounding_loss_reg: 4.2108 detection_loss_cls: 0.0971 detection_loss_reg: 0.5392 caption_loss_cls: 2.8608 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8436 semantic_segmentation_loss_cls: 0.0160 2023/10/04 08:01:58 - mmengine - INFO - Iter(train) [ 93400/480000] base_lr: 1.8207e-04 lr: 4.8685e-05 eta: 10 days, 10:44:00 time: 2.3828 data_time: 0.1176 memory: 26651 grad_norm: 1.0175 loss: 1.4817 grounding_loss_reg: 4.2091 detection_loss_cls: 0.0970 detection_loss_reg: 0.5386 caption_loss_cls: 2.8678 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8438 semantic_segmentation_loss_cls: 0.0160 2023/10/04 08:06:22 - mmengine - INFO - Iter(train) [ 93500/480000] base_lr: 1.8203e-04 lr: 4.8676e-05 eta: 10 days, 11:37:20 time: 2.3773 data_time: 0.1175 memory: 26651 grad_norm: 1.0192 loss: 1.4778 grounding_loss_reg: 4.2061 detection_loss_cls: 0.0967 detection_loss_reg: 0.5374 caption_loss_cls: 2.8714 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.8455 semantic_segmentation_loss_cls: 0.0160 2023/10/04 08:06:22 - mmengine - INFO - Saving checkpoint at 93500 iterations 2023/10/04 08:11:18 - mmengine - INFO - Iter(train) [ 93600/480000] base_lr: 1.8200e-04 lr: 4.8666e-05 eta: 10 days, 13:22:26 time: 2.3695 data_time: 0.1175 memory: 26651 grad_norm: 1.0278 loss: 1.4942 grounding_loss_reg: 4.2043 detection_loss_cls: 0.0966 detection_loss_reg: 0.5370 caption_loss_cls: 2.8726 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8454 semantic_segmentation_loss_cls: 0.0160 2023/10/04 08:15:50 - mmengine - INFO - Iter(train) [ 93700/480000] base_lr: 1.8196e-04 lr: 4.8656e-05 eta: 10 days, 14:22:40 time: 2.3783 data_time: 0.1175 memory: 26651 grad_norm: 1.0245 loss: 1.4814 grounding_loss_reg: 4.2034 detection_loss_cls: 0.0964 detection_loss_reg: 0.5356 caption_loss_cls: 2.8707 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2576 instance_segmentation_loss_poly: 0.8442 semantic_segmentation_loss_cls: 0.0160 2023/10/04 08:20:32 - mmengine - INFO - Iter(train) [ 93800/480000] base_lr: 1.8192e-04 lr: 4.8647e-05 eta: 10 days, 15:33:23 time: 2.3858 data_time: 0.1175 memory: 26651 grad_norm: 1.0244 loss: 1.4818 grounding_loss_reg: 4.2032 detection_loss_cls: 0.0962 detection_loss_reg: 0.5346 caption_loss_cls: 2.8725 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.8447 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:24:30 - mmengine - INFO - Iter(train) [ 93900/480000] base_lr: 1.8189e-04 lr: 4.8637e-05 eta: 10 days, 15:29:17 time: 2.3811 data_time: 0.1175 memory: 26651 grad_norm: 1.0311 loss: 1.4860 grounding_loss_reg: 4.2020 detection_loss_cls: 0.0959 detection_loss_reg: 0.5334 caption_loss_cls: 2.8718 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8458 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:29:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_052320 2023/10/04 08:29:04 - mmengine - INFO - Iter(train) [ 94000/480000] base_lr: 1.8185e-04 lr: 4.8627e-05 eta: 10 days, 16:22:36 time: 2.3911 data_time: 0.1175 memory: 26651 grad_norm: 1.0299 loss: 1.4808 grounding_loss_reg: 4.2011 detection_loss_cls: 0.0958 detection_loss_reg: 0.5319 caption_loss_cls: 2.8700 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.8465 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:29:04 - mmengine - INFO - Saving checkpoint at 94000 iterations 2023/10/04 08:34:16 - mmengine - INFO - Iter(train) [ 94100/480000] base_lr: 1.8181e-04 lr: 4.8618e-05 eta: 10 days, 18:13:12 time: 2.4296 data_time: 0.1328 memory: 26651 grad_norm: 1.0253 loss: 1.4775 grounding_loss_reg: 4.1980 detection_loss_cls: 0.0958 detection_loss_reg: 0.5315 caption_loss_cls: 2.8729 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.8469 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:38:38 - mmengine - INFO - Iter(train) [ 94200/480000] base_lr: 1.8177e-04 lr: 4.8608e-05 eta: 10 days, 18:41:57 time: 2.4523 data_time: 0.1328 memory: 26651 grad_norm: 1.0235 loss: 1.4767 grounding_loss_reg: 4.1972 detection_loss_cls: 0.0958 detection_loss_reg: 0.5322 caption_loss_cls: 2.8706 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8474 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:42:33 - mmengine - INFO - Iter(train) [ 94300/480000] base_lr: 1.8174e-04 lr: 4.8598e-05 eta: 10 days, 18:28:18 time: 2.4680 data_time: 0.1327 memory: 26651 grad_norm: 1.0230 loss: 1.4820 grounding_loss_reg: 4.1949 detection_loss_cls: 0.0955 detection_loss_reg: 0.5311 caption_loss_cls: 2.8727 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.8463 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:46:38 - mmengine - INFO - Iter(train) [ 94400/480000] base_lr: 1.8170e-04 lr: 4.8588e-05 eta: 10 days, 18:29:47 time: 2.4818 data_time: 0.1327 memory: 26651 grad_norm: 1.0218 loss: 1.4799 grounding_loss_reg: 4.1934 detection_loss_cls: 0.0960 detection_loss_reg: 0.5327 caption_loss_cls: 2.8698 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.8466 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:50:40 - mmengine - INFO - Iter(train) [ 94500/480000] base_lr: 1.8166e-04 lr: 4.8579e-05 eta: 10 days, 18:26:16 time: 2.4907 data_time: 0.1327 memory: 26651 grad_norm: 1.0241 loss: 1.4795 grounding_loss_reg: 4.1920 detection_loss_cls: 0.0958 detection_loss_reg: 0.5320 caption_loss_cls: 2.8643 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8480 semantic_segmentation_loss_cls: 0.0159 2023/10/04 08:50:40 - mmengine - INFO - Saving checkpoint at 94500 iterations 2023/10/04 08:56:05 - mmengine - INFO - Iter(train) [ 94600/480000] base_lr: 1.8162e-04 lr: 4.8569e-05 eta: 10 days, 20:18:33 time: 2.5085 data_time: 0.1330 memory: 26651 grad_norm: 1.0240 loss: 1.4726 grounding_loss_reg: 4.1900 detection_loss_cls: 0.0958 detection_loss_reg: 0.5325 caption_loss_cls: 2.8653 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.8477 semantic_segmentation_loss_cls: 0.0159 2023/10/04 09:00:23 - mmengine - INFO - Iter(train) [ 94700/480000] base_lr: 1.8159e-04 lr: 4.8559e-05 eta: 10 days, 20:35:23 time: 2.5230 data_time: 0.1330 memory: 26651 grad_norm: 1.0236 loss: 1.4733 grounding_loss_reg: 4.1895 detection_loss_cls: 0.0956 detection_loss_reg: 0.5325 caption_loss_cls: 2.8673 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.8470 semantic_segmentation_loss_cls: 0.0159 2023/10/04 09:05:10 - mmengine - INFO - Iter(train) [ 94800/480000] base_lr: 1.8155e-04 lr: 4.8549e-05 eta: 10 days, 21:29:52 time: 2.5417 data_time: 0.1330 memory: 26651 grad_norm: 1.0248 loss: 1.4778 grounding_loss_reg: 4.1881 detection_loss_cls: 0.0955 detection_loss_reg: 0.5332 caption_loss_cls: 2.8678 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.8459 semantic_segmentation_loss_cls: 0.0159 2023/10/04 09:09:02 - mmengine - INFO - Iter(train) [ 94900/480000] base_lr: 1.8151e-04 lr: 4.8540e-05 eta: 10 days, 21:08:32 time: 2.5451 data_time: 0.1330 memory: 25810 grad_norm: 1.0246 loss: 1.4769 grounding_loss_reg: 4.1871 detection_loss_cls: 0.0954 detection_loss_reg: 0.5336 caption_loss_cls: 2.8630 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.8455 semantic_segmentation_loss_cls: 0.0160 2023/10/04 09:12:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_052320 2023/10/04 09:12:51 - mmengine - INFO - Iter(train) [ 95000/480000] base_lr: 1.8147e-04 lr: 4.8530e-05 eta: 10 days, 20:46:03 time: 2.5518 data_time: 0.1329 memory: 26651 grad_norm: 1.0240 loss: 1.4736 grounding_loss_reg: 4.1870 detection_loss_cls: 0.0954 detection_loss_reg: 0.5338 caption_loss_cls: 2.8589 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8460 semantic_segmentation_loss_cls: 0.0159 2023/10/04 09:12:51 - mmengine - INFO - Saving checkpoint at 95000 iterations 2023/10/04 09:18:31 - mmengine - INFO - Iter(train) [ 95100/480000] base_lr: 1.8143e-04 lr: 4.8520e-05 eta: 10 days, 22:43:02 time: 2.5645 data_time: 0.1329 memory: 26651 grad_norm: 1.0243 loss: 1.4698 grounding_loss_reg: 4.1849 detection_loss_cls: 0.0951 detection_loss_reg: 0.5332 caption_loss_cls: 2.8596 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.8476 semantic_segmentation_loss_cls: 0.0159 2023/10/04 09:22:50 - mmengine - INFO - Iter(train) [ 95200/480000] base_lr: 1.8140e-04 lr: 4.8510e-05 eta: 10 days, 22:54:51 time: 2.5786 data_time: 0.1329 memory: 26651 grad_norm: 1.0252 loss: 1.4705 grounding_loss_reg: 4.1827 detection_loss_cls: 0.0952 detection_loss_reg: 0.5336 caption_loss_cls: 2.8606 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8470 semantic_segmentation_loss_cls: 0.0159 2023/10/04 09:27:22 - mmengine - INFO - Iter(train) [ 95300/480000] base_lr: 1.8136e-04 lr: 4.8500e-05 eta: 10 days, 23:21:32 time: 2.5878 data_time: 0.1330 memory: 26651 grad_norm: 1.0256 loss: 1.4735 grounding_loss_reg: 4.1800 detection_loss_cls: 0.0945 detection_loss_reg: 0.5303 caption_loss_cls: 2.8613 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.8489 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:31:36 - mmengine - INFO - Iter(train) [ 95400/480000] base_lr: 1.8132e-04 lr: 4.8491e-05 eta: 10 days, 23:26:50 time: 2.5937 data_time: 0.1330 memory: 26651 grad_norm: 1.0213 loss: 1.4689 grounding_loss_reg: 4.1787 detection_loss_cls: 0.0945 detection_loss_reg: 0.5305 caption_loss_cls: 2.8551 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.8487 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:36:26 - mmengine - INFO - Iter(train) [ 95500/480000] base_lr: 1.8128e-04 lr: 4.8481e-05 eta: 11 days, 0:13:53 time: 2.6061 data_time: 0.1331 memory: 26651 grad_norm: 1.0186 loss: 1.4685 grounding_loss_reg: 4.1764 detection_loss_cls: 0.0940 detection_loss_reg: 0.5291 caption_loss_cls: 2.8548 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.8484 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:36:27 - mmengine - INFO - Saving checkpoint at 95500 iterations 2023/10/04 09:42:05 - mmengine - INFO - Iter(train) [ 95600/480000] base_lr: 1.8125e-04 lr: 4.8471e-05 eta: 11 days, 1:53:43 time: 2.6227 data_time: 0.1335 memory: 26651 grad_norm: 1.0158 loss: 1.4646 grounding_loss_reg: 4.1746 detection_loss_cls: 0.0940 detection_loss_reg: 0.5285 caption_loss_cls: 2.8534 instance_segmentation_loss_cls: 0.0594 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.8496 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:46:24 - mmengine - INFO - Iter(train) [ 95700/480000] base_lr: 1.8121e-04 lr: 4.8461e-05 eta: 11 days, 2:00:55 time: 2.6262 data_time: 0.1335 memory: 26651 grad_norm: 1.0156 loss: 1.4669 grounding_loss_reg: 4.1731 detection_loss_cls: 0.0942 detection_loss_reg: 0.5297 caption_loss_cls: 2.8520 instance_segmentation_loss_cls: 0.0594 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.8502 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:50:49 - mmengine - INFO - Iter(train) [ 95800/480000] base_lr: 1.8117e-04 lr: 4.8451e-05 eta: 11 days, 2:14:23 time: 2.6348 data_time: 0.1335 memory: 25810 grad_norm: 1.0166 loss: 1.4718 grounding_loss_reg: 4.1739 detection_loss_cls: 0.0945 detection_loss_reg: 0.5308 caption_loss_cls: 2.8535 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.8514 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:55:22 - mmengine - INFO - Iter(train) [ 95900/480000] base_lr: 1.8113e-04 lr: 4.8441e-05 eta: 11 days, 2:36:04 time: 2.6424 data_time: 0.1334 memory: 25810 grad_norm: 1.0145 loss: 1.4653 grounding_loss_reg: 4.1735 detection_loss_cls: 0.0947 detection_loss_reg: 0.5310 caption_loss_cls: 2.8488 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.8522 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:59:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231004_052320 2023/10/04 09:59:25 - mmengine - INFO - Iter(train) [ 96000/480000] base_lr: 1.8109e-04 lr: 4.8432e-05 eta: 11 days, 2:24:36 time: 2.6500 data_time: 0.1335 memory: 26651 grad_norm: 1.0163 loss: 1.4653 grounding_loss_reg: 4.1723 detection_loss_cls: 0.0942 detection_loss_reg: 0.5288 caption_loss_cls: 2.8509 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.8515 semantic_segmentation_loss_cls: 0.0158 2023/10/04 09:59:26 - mmengine - INFO - Saving checkpoint at 96000 iterations 2023/10/06 10:41:26 - mmengine - INFO - Iter(train) [ 96100/480000] base_lr: 1.8105e-04 lr: 4.8422e-05 eta: 7 days, 1:14:56 time: 2.6197 data_time: 0.1186 memory: 26565 grad_norm: 1.0239 loss: 1.4803 grounding_loss_reg: 4.1710 detection_loss_cls: 0.0945 detection_loss_reg: 0.5305 caption_loss_cls: 2.8508 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.8491 semantic_segmentation_loss_cls: 0.0158 2023/10/06 10:43:56 - mmengine - INFO - Iter(train) [ 96200/480000] base_lr: 1.8102e-04 lr: 4.8412e-05 eta: 6 days, 20:32:38 time: 2.5986 data_time: 0.1185 memory: 26564 grad_norm: 1.0249 loss: 1.4715 grounding_loss_reg: 4.1666 detection_loss_cls: 0.0942 detection_loss_reg: 0.5296 caption_loss_cls: 2.8525 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.8488 semantic_segmentation_loss_cls: 0.0158 2023/10/06 10:46:37 - mmengine - INFO - Iter(train) [ 96300/480000] base_lr: 1.8098e-04 lr: 4.8402e-05 eta: 6 days, 22:46:52 time: 2.5810 data_time: 0.1188 memory: 26564 grad_norm: 1.0270 loss: 1.4716 grounding_loss_reg: 4.1625 detection_loss_cls: 0.0943 detection_loss_reg: 0.5301 caption_loss_cls: 2.8499 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.8491 semantic_segmentation_loss_cls: 0.0158 2023/10/06 10:49:22 - mmengine - INFO - Iter(train) [ 96400/480000] base_lr: 1.8094e-04 lr: 4.8392e-05 eta: 7 days, 1:11:23 time: 2.5716 data_time: 0.1188 memory: 26564 grad_norm: 1.0210 loss: 1.4667 grounding_loss_reg: 4.1614 detection_loss_cls: 0.0945 detection_loss_reg: 0.5310 caption_loss_cls: 2.8505 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.8498 semantic_segmentation_loss_cls: 0.0158 2023/10/06 10:52:23 - mmengine - INFO - Iter(train) [ 96500/480000] base_lr: 1.8090e-04 lr: 4.8382e-05 eta: 7 days, 5:52:44 time: 2.5571 data_time: 0.1189 memory: 26564 grad_norm: 1.0221 loss: 1.4750 grounding_loss_reg: 4.1601 detection_loss_cls: 0.0944 detection_loss_reg: 0.5310 caption_loss_cls: 2.8527 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.8496 semantic_segmentation_loss_cls: 0.0158 2023/10/06 10:52:23 - mmengine - INFO - Saving checkpoint at 96500 iterations 2023/10/06 10:56:03 - mmengine - INFO - Iter(train) [ 96600/480000] base_lr: 1.8086e-04 lr: 4.8372e-05 eta: 7 days, 15:53:55 time: 2.5377 data_time: 0.1194 memory: 26564 grad_norm: 1.0207 loss: 1.4724 grounding_loss_reg: 4.1592 detection_loss_cls: 0.0944 detection_loss_reg: 0.5310 caption_loss_cls: 2.8463 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.8489 semantic_segmentation_loss_cls: 0.0158 2023/10/06 10:58:51 - mmengine - INFO - Iter(train) [ 96700/480000] base_lr: 1.8083e-04 lr: 4.8362e-05 eta: 7 days, 15:03:41 time: 2.5134 data_time: 0.1194 memory: 26564 grad_norm: 1.0194 loss: 1.4711 grounding_loss_reg: 4.1581 detection_loss_cls: 0.0948 detection_loss_reg: 0.5325 caption_loss_cls: 2.8427 instance_segmentation_loss_cls: 0.0596 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.8522 semantic_segmentation_loss_cls: 0.0158 2023/10/06 11:01:50 - mmengine - INFO - Iter(train) [ 96800/480000] base_lr: 1.8079e-04 lr: 4.8352e-05 eta: 7 days, 15:56:09 time: 2.5018 data_time: 0.1198 memory: 26564 grad_norm: 1.0134 loss: 1.4688 grounding_loss_reg: 4.1573 detection_loss_cls: 0.0946 detection_loss_reg: 0.5317 caption_loss_cls: 2.8418 instance_segmentation_loss_cls: 0.0597 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.8527 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:04:47 - mmengine - INFO - Iter(train) [ 96900/480000] base_lr: 1.8075e-04 lr: 4.8342e-05 eta: 7 days, 16:28:22 time: 2.4882 data_time: 0.1198 memory: 26564 grad_norm: 1.0156 loss: 1.4719 grounding_loss_reg: 4.1553 detection_loss_cls: 0.0947 detection_loss_reg: 0.5318 caption_loss_cls: 2.8409 instance_segmentation_loss_cls: 0.0597 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.8533 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:07:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 11:07:37 - mmengine - INFO - Iter(train) [ 97000/480000] base_lr: 1.8071e-04 lr: 4.8332e-05 eta: 7 days, 16:00:29 time: 2.4673 data_time: 0.1198 memory: 26564 grad_norm: 1.0188 loss: 1.4683 grounding_loss_reg: 4.1535 detection_loss_cls: 0.0946 detection_loss_reg: 0.5319 caption_loss_cls: 2.8423 instance_segmentation_loss_cls: 0.0597 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.8526 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:07:37 - mmengine - INFO - Saving checkpoint at 97000 iterations 2023/10/06 11:11:47 - mmengine - INFO - Iter(train) [ 97100/480000] base_lr: 1.8067e-04 lr: 4.8322e-05 eta: 7 days, 23:22:15 time: 2.4484 data_time: 0.1197 memory: 26564 grad_norm: 1.0165 loss: 1.4646 grounding_loss_reg: 4.1509 detection_loss_cls: 0.0948 detection_loss_reg: 0.5323 caption_loss_cls: 2.8389 instance_segmentation_loss_cls: 0.0597 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.8552 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:14:48 - mmengine - INFO - Iter(train) [ 97200/480000] base_lr: 1.8063e-04 lr: 4.8312e-05 eta: 7 days, 23:25:16 time: 2.4338 data_time: 0.1197 memory: 25722 grad_norm: 1.0143 loss: 1.4605 grounding_loss_reg: 4.1501 detection_loss_cls: 0.0946 detection_loss_reg: 0.5317 caption_loss_cls: 2.8357 instance_segmentation_loss_cls: 0.0596 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.8535 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:18:11 - mmengine - INFO - Iter(train) [ 97300/480000] base_lr: 1.8060e-04 lr: 4.8302e-05 eta: 8 days, 1:14:16 time: 2.4141 data_time: 0.1197 memory: 26564 grad_norm: 1.0116 loss: 1.4613 grounding_loss_reg: 4.1479 detection_loss_cls: 0.0948 detection_loss_reg: 0.5328 caption_loss_cls: 2.8355 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.2624 instance_segmentation_loss_poly: 0.8551 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:21:12 - mmengine - INFO - Iter(train) [ 97400/480000] base_lr: 1.8056e-04 lr: 4.8292e-05 eta: 8 days, 1:09:54 time: 2.3979 data_time: 0.1197 memory: 26564 grad_norm: 1.0135 loss: 1.4524 grounding_loss_reg: 4.1449 detection_loss_cls: 0.0946 detection_loss_reg: 0.5332 caption_loss_cls: 2.8381 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.8534 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:24:25 - mmengine - INFO - Iter(train) [ 97500/480000] base_lr: 1.8052e-04 lr: 4.8282e-05 eta: 8 days, 1:52:35 time: 2.3799 data_time: 0.1197 memory: 26564 grad_norm: 1.0154 loss: 1.4544 grounding_loss_reg: 4.1430 detection_loss_cls: 0.0947 detection_loss_reg: 0.5338 caption_loss_cls: 2.8377 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.8537 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:24:25 - mmengine - INFO - Saving checkpoint at 97500 iterations 2023/10/06 11:28:43 - mmengine - INFO - Iter(train) [ 97600/480000] base_lr: 1.8048e-04 lr: 4.8272e-05 eta: 8 days, 6:53:27 time: 2.3708 data_time: 0.1198 memory: 26564 grad_norm: 1.0081 loss: 1.4420 grounding_loss_reg: 4.1426 detection_loss_cls: 0.0945 detection_loss_reg: 0.5332 caption_loss_cls: 2.8341 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.8529 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:32:06 - mmengine - INFO - Iter(train) [ 97700/480000] base_lr: 1.8044e-04 lr: 4.8262e-05 eta: 8 days, 7:49:12 time: 2.3533 data_time: 0.1198 memory: 26564 grad_norm: 1.0129 loss: 1.4498 grounding_loss_reg: 4.1410 detection_loss_cls: 0.0945 detection_loss_reg: 0.5330 caption_loss_cls: 2.8320 instance_segmentation_loss_cls: 0.0596 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.8547 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:35:31 - mmengine - INFO - Iter(train) [ 97800/480000] base_lr: 1.8040e-04 lr: 4.8252e-05 eta: 8 days, 8:44:11 time: 2.3342 data_time: 0.1199 memory: 26564 grad_norm: 1.0131 loss: 1.4472 grounding_loss_reg: 4.1409 detection_loss_cls: 0.0945 detection_loss_reg: 0.5336 caption_loss_cls: 2.8341 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2621 instance_segmentation_loss_poly: 0.8536 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:39:09 - mmengine - INFO - Iter(train) [ 97900/480000] base_lr: 1.8036e-04 lr: 4.8242e-05 eta: 8 days, 10:17:57 time: 2.3291 data_time: 0.1199 memory: 26564 grad_norm: 1.0080 loss: 1.4413 grounding_loss_reg: 4.1396 detection_loss_cls: 0.0948 detection_loss_reg: 0.5352 caption_loss_cls: 2.8337 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.8535 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:42:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 11:42:25 - mmengine - INFO - Iter(train) [ 98000/480000] base_lr: 1.8032e-04 lr: 4.8232e-05 eta: 8 days, 10:30:48 time: 2.3096 data_time: 0.1199 memory: 26564 grad_norm: 1.0081 loss: 1.4448 grounding_loss_reg: 4.1396 detection_loss_cls: 0.0948 detection_loss_reg: 0.5357 caption_loss_cls: 2.8346 instance_segmentation_loss_cls: 0.0594 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.8536 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:42:25 - mmengine - INFO - Saving checkpoint at 98000 iterations 2023/10/06 11:46:33 - mmengine - INFO - Iter(train) [ 98100/480000] base_lr: 1.8029e-04 lr: 4.8222e-05 eta: 8 days, 13:22:00 time: 2.2936 data_time: 0.1197 memory: 26564 grad_norm: 1.0043 loss: 1.4339 grounding_loss_reg: 4.1386 detection_loss_cls: 0.0949 detection_loss_reg: 0.5369 caption_loss_cls: 2.8299 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.8525 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:50:15 - mmengine - INFO - Iter(train) [ 98200/480000] base_lr: 1.8025e-04 lr: 4.8212e-05 eta: 8 days, 14:41:55 time: 2.2836 data_time: 0.1197 memory: 26564 grad_norm: 1.0052 loss: 1.4306 grounding_loss_reg: 4.1364 detection_loss_cls: 0.0945 detection_loss_reg: 0.5361 caption_loss_cls: 2.8255 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.8519 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:53:46 - mmengine - INFO - Iter(train) [ 98300/480000] base_lr: 1.8021e-04 lr: 4.8202e-05 eta: 8 days, 15:21:09 time: 2.2775 data_time: 0.1197 memory: 25722 grad_norm: 1.0057 loss: 1.4234 grounding_loss_reg: 4.1342 detection_loss_cls: 0.0943 detection_loss_reg: 0.5352 caption_loss_cls: 2.8212 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.8499 semantic_segmentation_loss_cls: 0.0157 2023/10/06 11:57:13 - mmengine - INFO - Iter(train) [ 98400/480000] base_lr: 1.8017e-04 lr: 4.8192e-05 eta: 8 days, 15:49:48 time: 2.2681 data_time: 0.1196 memory: 25722 grad_norm: 1.0107 loss: 1.4266 grounding_loss_reg: 4.1339 detection_loss_cls: 0.0945 detection_loss_reg: 0.5361 caption_loss_cls: 2.8217 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.8489 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:01:10 - mmengine - INFO - Iter(train) [ 98500/480000] base_lr: 1.8013e-04 lr: 4.8182e-05 eta: 8 days, 17:29:33 time: 2.2668 data_time: 0.1196 memory: 25722 grad_norm: 1.0053 loss: 1.4250 grounding_loss_reg: 4.1339 detection_loss_cls: 0.0944 detection_loss_reg: 0.5362 caption_loss_cls: 2.8244 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.8490 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:01:10 - mmengine - INFO - Saving checkpoint at 98500 iterations 2023/10/06 12:05:51 - mmengine - INFO - Iter(train) [ 98600/480000] base_lr: 1.8009e-04 lr: 4.8172e-05 eta: 8 days, 20:50:16 time: 2.2559 data_time: 0.1196 memory: 26564 grad_norm: 1.0083 loss: 1.4327 grounding_loss_reg: 4.1335 detection_loss_cls: 0.0948 detection_loss_reg: 0.5376 caption_loss_cls: 2.8263 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.8474 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:10:02 - mmengine - INFO - Iter(train) [ 98700/480000] base_lr: 1.8005e-04 lr: 4.8162e-05 eta: 8 days, 22:44:15 time: 2.2540 data_time: 0.1196 memory: 26564 grad_norm: 1.0085 loss: 1.4286 grounding_loss_reg: 4.1323 detection_loss_cls: 0.0947 detection_loss_reg: 0.5364 caption_loss_cls: 2.8262 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8464 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:13:37 - mmengine - INFO - Iter(train) [ 98800/480000] base_lr: 1.8001e-04 lr: 4.8152e-05 eta: 8 days, 23:09:42 time: 2.2361 data_time: 0.1195 memory: 26564 grad_norm: 1.0134 loss: 1.4299 grounding_loss_reg: 4.1303 detection_loss_cls: 0.0949 detection_loss_reg: 0.5361 caption_loss_cls: 2.8260 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.8472 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:17:31 - mmengine - INFO - Iter(train) [ 98900/480000] base_lr: 1.7997e-04 lr: 4.8141e-05 eta: 9 days, 0:12:27 time: 2.2366 data_time: 0.1195 memory: 26564 grad_norm: 1.0093 loss: 1.4233 grounding_loss_reg: 4.1296 detection_loss_cls: 0.0949 detection_loss_reg: 0.5355 caption_loss_cls: 2.8271 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.8459 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:21:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 12:21:23 - mmengine - INFO - Iter(train) [ 99000/480000] base_lr: 1.7994e-04 lr: 4.8131e-05 eta: 9 days, 1:07:30 time: 2.2371 data_time: 0.1196 memory: 26564 grad_norm: 1.0076 loss: 1.4200 grounding_loss_reg: 4.1290 detection_loss_cls: 0.0951 detection_loss_reg: 0.5356 caption_loss_cls: 2.8269 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.8458 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:21:23 - mmengine - INFO - Saving checkpoint at 99000 iterations 2023/10/06 12:26:28 - mmengine - INFO - Iter(train) [ 99100/480000] base_lr: 1.7990e-04 lr: 4.8121e-05 eta: 9 days, 4:28:42 time: 2.2284 data_time: 0.1194 memory: 26564 grad_norm: 1.0111 loss: 1.4223 grounding_loss_reg: 4.1283 detection_loss_cls: 0.0955 detection_loss_reg: 0.5370 caption_loss_cls: 2.8279 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.8470 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:30:14 - mmengine - INFO - Iter(train) [ 99200/480000] base_lr: 1.7986e-04 lr: 4.8111e-05 eta: 9 days, 5:01:35 time: 2.2204 data_time: 0.1194 memory: 26564 grad_norm: 1.0114 loss: 1.4270 grounding_loss_reg: 4.1261 detection_loss_cls: 0.0957 detection_loss_reg: 0.5372 caption_loss_cls: 2.8268 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.8475 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:34:25 - mmengine - INFO - Iter(train) [ 99300/480000] base_lr: 1.7982e-04 lr: 4.8101e-05 eta: 9 days, 6:18:51 time: 2.2153 data_time: 0.1193 memory: 26564 grad_norm: 1.0142 loss: 1.4356 grounding_loss_reg: 4.1251 detection_loss_cls: 0.0957 detection_loss_reg: 0.5380 caption_loss_cls: 2.8292 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.8470 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:38:02 - mmengine - INFO - Iter(train) [ 99400/480000] base_lr: 1.7978e-04 lr: 4.8091e-05 eta: 9 days, 6:27:10 time: 2.2058 data_time: 0.1193 memory: 26564 grad_norm: 1.0159 loss: 1.4404 grounding_loss_reg: 4.1226 detection_loss_cls: 0.0957 detection_loss_reg: 0.5387 caption_loss_cls: 2.8313 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8462 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:42:06 - mmengine - INFO - Iter(train) [ 99500/480000] base_lr: 1.7974e-04 lr: 4.8081e-05 eta: 9 days, 7:24:40 time: 2.1942 data_time: 0.1193 memory: 26564 grad_norm: 1.0238 loss: 1.4467 grounding_loss_reg: 4.1226 detection_loss_cls: 0.0962 detection_loss_reg: 0.5406 caption_loss_cls: 2.8313 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.8475 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:42:06 - mmengine - INFO - Saving checkpoint at 99500 iterations 2023/10/06 12:46:44 - mmengine - INFO - Iter(train) [ 99600/480000] base_lr: 1.7970e-04 lr: 4.8070e-05 eta: 9 days, 9:17:27 time: 2.1790 data_time: 0.1191 memory: 26564 grad_norm: 1.0334 loss: 1.4642 grounding_loss_reg: 4.1223 detection_loss_cls: 0.0960 detection_loss_reg: 0.5390 caption_loss_cls: 2.8332 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.8475 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:51:11 - mmengine - INFO - Iter(train) [ 99700/480000] base_lr: 1.7966e-04 lr: 4.8060e-05 eta: 9 days, 10:46:08 time: 2.1810 data_time: 0.1191 memory: 26564 grad_norm: 1.0283 loss: 1.4565 grounding_loss_reg: 4.1220 detection_loss_cls: 0.0963 detection_loss_reg: 0.5410 caption_loss_cls: 2.8365 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8470 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:55:32 - mmengine - INFO - Iter(train) [ 99800/480000] base_lr: 1.7962e-04 lr: 4.8050e-05 eta: 9 days, 12:00:10 time: 2.1800 data_time: 0.1191 memory: 26564 grad_norm: 1.0293 loss: 1.4574 grounding_loss_reg: 4.1212 detection_loss_cls: 0.0966 detection_loss_reg: 0.5423 caption_loss_cls: 2.8373 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.8495 semantic_segmentation_loss_cls: 0.0157 2023/10/06 12:59:23 - mmengine - INFO - Iter(train) [ 99900/480000] base_lr: 1.7958e-04 lr: 4.8040e-05 eta: 9 days, 12:21:07 time: 2.1695 data_time: 0.1191 memory: 26564 grad_norm: 1.0350 loss: 1.4651 grounding_loss_reg: 4.1204 detection_loss_cls: 0.0968 detection_loss_reg: 0.5421 caption_loss_cls: 2.8363 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.8494 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:03:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 13:03:25 - mmengine - INFO - Iter(train) [100000/480000] base_lr: 1.7954e-04 lr: 4.8030e-05 eta: 9 days, 12:58:45 time: 2.1693 data_time: 0.1191 memory: 26564 grad_norm: 1.0345 loss: 1.4673 grounding_loss_reg: 4.1193 detection_loss_cls: 0.0968 detection_loss_reg: 0.5403 caption_loss_cls: 2.8389 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.8501 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:03:25 - mmengine - INFO - Saving checkpoint at 100000 iterations 2023/10/06 13:08:17 - mmengine - INFO - Iter(train) [100100/480000] base_lr: 1.7950e-04 lr: 4.8019e-05 eta: 9 days, 14:50:24 time: 2.2025 data_time: 0.1336 memory: 26564 grad_norm: 1.0306 loss: 1.4575 grounding_loss_reg: 4.1181 detection_loss_cls: 0.0968 detection_loss_reg: 0.5406 caption_loss_cls: 2.8371 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.8497 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:12:34 - mmengine - INFO - Iter(train) [100200/480000] base_lr: 1.7946e-04 lr: 4.8009e-05 eta: 9 days, 15:45:14 time: 2.2294 data_time: 0.1336 memory: 26564 grad_norm: 1.0289 loss: 1.4644 grounding_loss_reg: 4.1166 detection_loss_cls: 0.0968 detection_loss_reg: 0.5417 caption_loss_cls: 2.8333 instance_segmentation_loss_cls: 0.0595 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.8501 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:16:21 - mmengine - INFO - Iter(train) [100300/480000] base_lr: 1.7942e-04 lr: 4.7999e-05 eta: 9 days, 15:51:15 time: 2.2458 data_time: 0.1334 memory: 25722 grad_norm: 1.0283 loss: 1.4654 grounding_loss_reg: 4.1152 detection_loss_cls: 0.0969 detection_loss_reg: 0.5426 caption_loss_cls: 2.8309 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.8492 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:20:08 - mmengine - INFO - Iter(train) [100400/480000] base_lr: 1.7938e-04 lr: 4.7989e-05 eta: 9 days, 15:57:47 time: 2.2611 data_time: 0.1334 memory: 26564 grad_norm: 1.0284 loss: 1.4657 grounding_loss_reg: 4.1136 detection_loss_cls: 0.0969 detection_loss_reg: 0.5423 caption_loss_cls: 2.8311 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.8490 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:23:54 - mmengine - INFO - Iter(train) [100500/480000] base_lr: 1.7934e-04 lr: 4.7978e-05 eta: 9 days, 16:03:20 time: 2.2725 data_time: 0.1333 memory: 26564 grad_norm: 1.0311 loss: 1.4603 grounding_loss_reg: 4.1130 detection_loss_cls: 0.0967 detection_loss_reg: 0.5412 caption_loss_cls: 2.8294 instance_segmentation_loss_cls: 0.0594 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.8507 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:23:54 - mmengine - INFO - Saving checkpoint at 100500 iterations 2023/10/06 13:28:59 - mmengine - INFO - Iter(train) [100600/480000] base_lr: 1.7931e-04 lr: 4.7968e-05 eta: 9 days, 17:55:34 time: 2.2936 data_time: 0.1332 memory: 26564 grad_norm: 1.0287 loss: 1.4636 grounding_loss_reg: 4.1129 detection_loss_cls: 0.0965 detection_loss_reg: 0.5394 caption_loss_cls: 2.8308 instance_segmentation_loss_cls: 0.0593 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.8506 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:33:13 - mmengine - INFO - Iter(train) [100700/480000] base_lr: 1.7927e-04 lr: 4.7958e-05 eta: 9 days, 18:34:49 time: 2.3152 data_time: 0.1332 memory: 26564 grad_norm: 1.0281 loss: 1.4615 grounding_loss_reg: 4.1124 detection_loss_cls: 0.0970 detection_loss_reg: 0.5418 caption_loss_cls: 2.8301 instance_segmentation_loss_cls: 0.0594 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.8509 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:37:42 - mmengine - INFO - Iter(train) [100800/480000] base_lr: 1.7923e-04 lr: 4.7947e-05 eta: 9 days, 19:32:06 time: 2.3377 data_time: 0.1328 memory: 26564 grad_norm: 1.0307 loss: 1.4691 grounding_loss_reg: 4.1110 detection_loss_cls: 0.0970 detection_loss_reg: 0.5413 caption_loss_cls: 2.8371 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8459 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:41:17 - mmengine - INFO - Iter(train) [100900/480000] base_lr: 1.7919e-04 lr: 4.7937e-05 eta: 9 days, 19:17:18 time: 2.3470 data_time: 0.1327 memory: 26564 grad_norm: 1.0331 loss: 1.4767 grounding_loss_reg: 4.1108 detection_loss_cls: 0.0969 detection_loss_reg: 0.5419 caption_loss_cls: 2.8390 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.8466 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:44:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 13:44:56 - mmengine - INFO - Iter(train) [101000/480000] base_lr: 1.7915e-04 lr: 4.7927e-05 eta: 9 days, 19:07:58 time: 2.3594 data_time: 0.1327 memory: 25722 grad_norm: 1.0326 loss: 1.4789 grounding_loss_reg: 4.1100 detection_loss_cls: 0.0968 detection_loss_reg: 0.5412 caption_loss_cls: 2.8393 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.8474 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:44:56 - mmengine - INFO - Saving checkpoint at 101000 iterations 2023/10/06 13:50:17 - mmengine - INFO - Iter(train) [101100/480000] base_lr: 1.7911e-04 lr: 4.7916e-05 eta: 9 days, 21:05:03 time: 2.3772 data_time: 0.1321 memory: 26564 grad_norm: 1.0307 loss: 1.4768 grounding_loss_reg: 4.1097 detection_loss_cls: 0.0968 detection_loss_reg: 0.5419 caption_loss_cls: 2.8356 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.8480 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:54:31 - mmengine - INFO - Iter(train) [101200/480000] base_lr: 1.7907e-04 lr: 4.7906e-05 eta: 9 days, 21:36:52 time: 2.3956 data_time: 0.1321 memory: 26564 grad_norm: 1.0322 loss: 1.4793 grounding_loss_reg: 4.1082 detection_loss_cls: 0.0967 detection_loss_reg: 0.5418 caption_loss_cls: 2.8344 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.8476 semantic_segmentation_loss_cls: 0.0157 2023/10/06 13:58:48 - mmengine - INFO - Iter(train) [101300/480000] base_lr: 1.7903e-04 lr: 4.7896e-05 eta: 9 days, 22:10:19 time: 2.4092 data_time: 0.1320 memory: 26564 grad_norm: 1.0320 loss: 1.4735 grounding_loss_reg: 4.1056 detection_loss_cls: 0.0966 detection_loss_reg: 0.5421 caption_loss_cls: 2.8319 instance_segmentation_loss_cls: 0.0591 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8449 semantic_segmentation_loss_cls: 0.0157 2023/10/06 14:02:53 - mmengine - INFO - Iter(train) [101400/480000] base_lr: 1.7899e-04 lr: 4.7885e-05 eta: 9 days, 22:27:20 time: 2.4249 data_time: 0.1320 memory: 26564 grad_norm: 1.0305 loss: 1.4728 grounding_loss_reg: 4.1044 detection_loss_cls: 0.0964 detection_loss_reg: 0.5407 caption_loss_cls: 2.8328 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2571 instance_segmentation_loss_poly: 0.8419 semantic_segmentation_loss_cls: 0.0157 2023/10/06 14:07:32 - mmengine - INFO - Iter(train) [101500/480000] base_lr: 1.7895e-04 lr: 4.7875e-05 eta: 9 days, 23:24:09 time: 2.4466 data_time: 0.1320 memory: 26564 grad_norm: 1.0253 loss: 1.4663 grounding_loss_reg: 4.1012 detection_loss_cls: 0.0964 detection_loss_reg: 0.5409 caption_loss_cls: 2.8338 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8422 semantic_segmentation_loss_cls: 0.0157 2023/10/06 14:07:32 - mmengine - INFO - Saving checkpoint at 101500 iterations 2023/10/06 14:12:56 - mmengine - INFO - Iter(train) [101600/480000] base_lr: 1.7891e-04 lr: 4.7865e-05 eta: 10 days, 1:08:55 time: 2.4630 data_time: 0.1326 memory: 26564 grad_norm: 1.0238 loss: 1.4653 grounding_loss_reg: 4.1007 detection_loss_cls: 0.0959 detection_loss_reg: 0.5387 caption_loss_cls: 2.8384 instance_segmentation_loss_cls: 0.0590 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.8433 semantic_segmentation_loss_cls: 0.0157 2023/10/06 14:16:59 - mmengine - INFO - Iter(train) [101700/480000] base_lr: 1.7887e-04 lr: 4.7854e-05 eta: 10 days, 1:19:49 time: 2.4729 data_time: 0.1326 memory: 26564 grad_norm: 1.0237 loss: 1.4654 grounding_loss_reg: 4.0994 detection_loss_cls: 0.0960 detection_loss_reg: 0.5388 caption_loss_cls: 2.8366 instance_segmentation_loss_cls: 0.0589 instance_segmentation_loss_reg: 0.2576 instance_segmentation_loss_poly: 0.8420 semantic_segmentation_loss_cls: 0.0157 2023/10/06 14:21:16 - mmengine - INFO - Iter(train) [101800/480000] base_lr: 1.7883e-04 lr: 4.7844e-05 eta: 10 days, 1:45:47 time: 2.4860 data_time: 0.1324 memory: 25722 grad_norm: 1.0247 loss: 1.4630 grounding_loss_reg: 4.0986 detection_loss_cls: 0.0958 detection_loss_reg: 0.5377 caption_loss_cls: 2.8366 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2570 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:25:41 - mmengine - INFO - Iter(train) [101900/480000] base_lr: 1.7879e-04 lr: 4.7834e-05 eta: 10 days, 2:18:54 time: 2.4977 data_time: 0.1324 memory: 25722 grad_norm: 1.0234 loss: 1.4623 grounding_loss_reg: 4.0993 detection_loss_cls: 0.0960 detection_loss_reg: 0.5385 caption_loss_cls: 2.8299 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2559 instance_segmentation_loss_poly: 0.8391 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:29:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 14:29:25 - mmengine - INFO - Iter(train) [102000/480000] base_lr: 1.7875e-04 lr: 4.7823e-05 eta: 10 days, 2:07:41 time: 2.5047 data_time: 0.1324 memory: 26564 grad_norm: 1.0246 loss: 1.4657 grounding_loss_reg: 4.0993 detection_loss_cls: 0.0960 detection_loss_reg: 0.5389 caption_loss_cls: 2.8321 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8406 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:29:25 - mmengine - INFO - Saving checkpoint at 102000 iterations 2023/10/06 14:34:22 - mmengine - INFO - Iter(train) [102100/480000] base_lr: 1.7871e-04 lr: 4.7813e-05 eta: 10 days, 3:13:07 time: 2.5171 data_time: 0.1323 memory: 26564 grad_norm: 1.0238 loss: 1.4783 grounding_loss_reg: 4.0988 detection_loss_cls: 0.0956 detection_loss_reg: 0.5353 caption_loss_cls: 2.8400 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.2571 instance_segmentation_loss_poly: 0.8426 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:38:44 - mmengine - INFO - Iter(train) [102200/480000] base_lr: 1.7867e-04 lr: 4.7802e-05 eta: 10 days, 3:39:29 time: 2.5268 data_time: 0.1323 memory: 26564 grad_norm: 1.0203 loss: 1.4796 grounding_loss_reg: 4.0995 detection_loss_cls: 0.0955 detection_loss_reg: 0.5355 caption_loss_cls: 2.8404 instance_segmentation_loss_cls: 0.0587 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.8412 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:43:06 - mmengine - INFO - Iter(train) [102300/480000] base_lr: 1.7863e-04 lr: 4.7792e-05 eta: 10 days, 4:05:39 time: 2.5398 data_time: 0.1324 memory: 26564 grad_norm: 1.0195 loss: 1.4842 grounding_loss_reg: 4.0966 detection_loss_cls: 0.0955 detection_loss_reg: 0.5344 caption_loss_cls: 2.8352 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8410 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:46:48 - mmengine - INFO - Iter(train) [102400/480000] base_lr: 1.7859e-04 lr: 4.7782e-05 eta: 10 days, 3:51:27 time: 2.5435 data_time: 0.1324 memory: 26564 grad_norm: 1.0175 loss: 1.4772 grounding_loss_reg: 4.0968 detection_loss_cls: 0.0951 detection_loss_reg: 0.5324 caption_loss_cls: 2.8261 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2567 instance_segmentation_loss_poly: 0.8415 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:51:17 - mmengine - INFO - Iter(train) [102500/480000] base_lr: 1.7855e-04 lr: 4.7771e-05 eta: 10 days, 4:23:05 time: 2.5516 data_time: 0.1325 memory: 25722 grad_norm: 1.0157 loss: 1.4737 grounding_loss_reg: 4.0967 detection_loss_cls: 0.0950 detection_loss_reg: 0.5320 caption_loss_cls: 2.8255 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0159 2023/10/06 14:51:17 - mmengine - INFO - Saving checkpoint at 102500 iterations 2023/10/06 14:56:20 - mmengine - INFO - Iter(train) [102600/480000] base_lr: 1.7851e-04 lr: 4.7761e-05 eta: 10 days, 5:25:23 time: 2.5570 data_time: 0.1323 memory: 26564 grad_norm: 1.0168 loss: 1.4681 grounding_loss_reg: 4.0923 detection_loss_cls: 0.0953 detection_loss_reg: 0.5329 caption_loss_cls: 2.8240 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2567 instance_segmentation_loss_poly: 0.8426 semantic_segmentation_loss_cls: 0.0159 2023/10/06 15:00:33 - mmengine - INFO - Iter(train) [102700/480000] base_lr: 1.7847e-04 lr: 4.7750e-05 eta: 10 days, 5:38:59 time: 2.5575 data_time: 0.1323 memory: 25722 grad_norm: 1.0160 loss: 1.4699 grounding_loss_reg: 4.0916 detection_loss_cls: 0.0954 detection_loss_reg: 0.5342 caption_loss_cls: 2.8236 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2567 instance_segmentation_loss_poly: 0.8423 semantic_segmentation_loss_cls: 0.0159 2023/10/06 15:04:32 - mmengine - INFO - Iter(train) [102800/480000] base_lr: 1.7842e-04 lr: 4.7740e-05 eta: 10 days, 5:39:57 time: 2.5635 data_time: 0.1323 memory: 25722 grad_norm: 1.0086 loss: 1.4601 grounding_loss_reg: 4.0901 detection_loss_cls: 0.0953 detection_loss_reg: 0.5336 caption_loss_cls: 2.8239 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8407 semantic_segmentation_loss_cls: 0.0159 2023/10/06 15:08:21 - mmengine - INFO - Iter(train) [102900/480000] base_lr: 1.7838e-04 lr: 4.7729e-05 eta: 10 days, 5:30:47 time: 2.5623 data_time: 0.1323 memory: 26564 grad_norm: 1.0141 loss: 1.4660 grounding_loss_reg: 4.0883 detection_loss_cls: 0.0951 detection_loss_reg: 0.5329 caption_loss_cls: 2.8287 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2558 instance_segmentation_loss_poly: 0.8398 semantic_segmentation_loss_cls: 0.0159 2023/10/06 15:11:55 - mmengine - INFO - Exp name: univision_joint_all_huge_20231006_101244 2023/10/06 15:11:55 - mmengine - INFO - Iter(train) [103000/480000] base_lr: 1.7834e-04 lr: 4.7719e-05 eta: 10 days, 5:08:10 time: 2.5578 data_time: 0.1323 memory: 26564 grad_norm: 1.0187 loss: 1.4751 grounding_loss_reg: 4.0869 detection_loss_cls: 0.0950 detection_loss_reg: 0.5327 caption_loss_cls: 2.8315 instance_segmentation_loss_cls: 0.0586 instance_segmentation_loss_reg: 0.2562 instance_segmentation_loss_poly: 0.8406 semantic_segmentation_loss_cls: 0.0159 2023/10/06 15:11:55 - mmengine - INFO - Saving checkpoint at 103000 iterations 2023/10/07 16:43:34 - mmengine - INFO - Iter(train) [103100/480000] base_lr: 1.7830e-04 lr: 4.7708e-05 eta: 7 days, 7:25:27 time: 2.4235 data_time: 0.1180 memory: 26558 grad_norm: 1.0165 loss: 1.4709 grounding_loss_reg: 4.0885 detection_loss_cls: 0.0952 detection_loss_reg: 0.5335 caption_loss_cls: 2.8317 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2544 instance_segmentation_loss_poly: 0.8358 semantic_segmentation_loss_cls: 0.0158 2023/10/07 16:46:14 - mmengine - INFO - Iter(train) [103200/480000] base_lr: 1.7826e-04 lr: 4.7698e-05 eta: 7 days, 6:15:14 time: 2.4069 data_time: 0.1180 memory: 26558 grad_norm: 1.0126 loss: 1.4626 grounding_loss_reg: 4.0862 detection_loss_cls: 0.0949 detection_loss_reg: 0.5308 caption_loss_cls: 2.8300 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2559 instance_segmentation_loss_poly: 0.8377 semantic_segmentation_loss_cls: 0.0158 2023/10/07 16:49:10 - mmengine - INFO - Iter(train) [103300/480000] base_lr: 1.7822e-04 lr: 4.7687e-05 eta: 7 days, 7:26:04 time: 2.3881 data_time: 0.1180 memory: 26558 grad_norm: 1.0112 loss: 1.4575 grounding_loss_reg: 4.0858 detection_loss_cls: 0.0947 detection_loss_reg: 0.5301 caption_loss_cls: 2.8303 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0158 2023/10/07 16:52:12 - mmengine - INFO - Iter(train) [103400/480000] base_lr: 1.7818e-04 lr: 4.7677e-05 eta: 7 days, 9:05:59 time: 2.3796 data_time: 0.1180 memory: 26558 grad_norm: 1.0114 loss: 1.4524 grounding_loss_reg: 4.0842 detection_loss_cls: 0.0948 detection_loss_reg: 0.5311 caption_loss_cls: 2.8244 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8386 semantic_segmentation_loss_cls: 0.0158 2023/10/07 16:55:08 - mmengine - INFO - Iter(train) [103500/480000] base_lr: 1.7814e-04 lr: 4.7666e-05 eta: 7 days, 9:43:41 time: 2.3625 data_time: 0.1180 memory: 26558 grad_norm: 1.0093 loss: 1.4540 grounding_loss_reg: 4.0812 detection_loss_cls: 0.0945 detection_loss_reg: 0.5296 caption_loss_cls: 2.8218 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2565 instance_segmentation_loss_poly: 0.8389 semantic_segmentation_loss_cls: 0.0158 2023/10/07 16:55:08 - mmengine - INFO - Saving checkpoint at 103500 iterations 2023/10/07 16:59:25 - mmengine - INFO - Iter(train) [103600/480000] base_lr: 1.7810e-04 lr: 4.7656e-05 eta: 7 days, 17:58:41 time: 2.3574 data_time: 0.1181 memory: 26558 grad_norm: 1.0039 loss: 1.4444 grounding_loss_reg: 4.0807 detection_loss_cls: 0.0945 detection_loss_reg: 0.5296 caption_loss_cls: 2.8240 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2569 instance_segmentation_loss_poly: 0.8397 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:02:22 - mmengine - INFO - Iter(train) [103700/480000] base_lr: 1.7806e-04 lr: 4.7645e-05 eta: 7 days, 17:50:38 time: 2.3349 data_time: 0.1181 memory: 25719 grad_norm: 1.0084 loss: 1.4483 grounding_loss_reg: 4.0813 detection_loss_cls: 0.0943 detection_loss_reg: 0.5284 caption_loss_cls: 2.8249 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0157 2023/10/07 17:05:50 - mmengine - INFO - Iter(train) [103800/480000] base_lr: 1.7802e-04 lr: 4.7635e-05 eta: 7 days, 20:13:01 time: 2.3216 data_time: 0.1181 memory: 26558 grad_norm: 1.0056 loss: 1.4423 grounding_loss_reg: 4.0806 detection_loss_cls: 0.0945 detection_loss_reg: 0.5302 caption_loss_cls: 2.8287 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2570 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:09:06 - mmengine - INFO - Iter(train) [103900/480000] base_lr: 1.7798e-04 lr: 4.7624e-05 eta: 7 days, 21:21:42 time: 2.3129 data_time: 0.1181 memory: 26558 grad_norm: 1.0060 loss: 1.4383 grounding_loss_reg: 4.0755 detection_loss_cls: 0.0944 detection_loss_reg: 0.5302 caption_loss_cls: 2.8273 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8370 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:12:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_160050 2023/10/07 17:12:38 - mmengine - INFO - Iter(train) [104000/480000] base_lr: 1.7794e-04 lr: 4.7614e-05 eta: 7 days, 23:27:28 time: 2.3053 data_time: 0.1182 memory: 26558 grad_norm: 1.0073 loss: 1.4386 grounding_loss_reg: 4.0746 detection_loss_cls: 0.0940 detection_loss_reg: 0.5278 caption_loss_cls: 2.8260 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8371 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:12:38 - mmengine - INFO - Saving checkpoint at 104000 iterations 2023/10/07 17:16:56 - mmengine - INFO - Iter(train) [104100/480000] base_lr: 1.7790e-04 lr: 4.7603e-05 eta: 8 days, 4:14:26 time: 2.2967 data_time: 0.1185 memory: 26558 grad_norm: 1.0027 loss: 1.4348 grounding_loss_reg: 4.0745 detection_loss_cls: 0.0942 detection_loss_reg: 0.5283 caption_loss_cls: 2.8263 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2558 instance_segmentation_loss_poly: 0.8360 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:20:24 - mmengine - INFO - Iter(train) [104200/480000] base_lr: 1.7786e-04 lr: 4.7592e-05 eta: 8 days, 5:27:03 time: 2.2845 data_time: 0.1187 memory: 26558 grad_norm: 1.0052 loss: 1.4463 grounding_loss_reg: 4.0740 detection_loss_cls: 0.0942 detection_loss_reg: 0.5291 caption_loss_cls: 2.8295 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2571 instance_segmentation_loss_poly: 0.8380 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:24:04 - mmengine - INFO - Iter(train) [104300/480000] base_lr: 1.7782e-04 lr: 4.7582e-05 eta: 8 days, 7:09:56 time: 2.2828 data_time: 0.1188 memory: 26558 grad_norm: 1.0031 loss: 1.4430 grounding_loss_reg: 4.0725 detection_loss_cls: 0.0939 detection_loss_reg: 0.5271 caption_loss_cls: 2.8306 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2571 instance_segmentation_loss_poly: 0.8384 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:27:43 - mmengine - INFO - Iter(train) [104400/480000] base_lr: 1.7777e-04 lr: 4.7571e-05 eta: 8 days, 8:39:19 time: 2.2808 data_time: 0.1188 memory: 26558 grad_norm: 1.0011 loss: 1.4398 grounding_loss_reg: 4.0692 detection_loss_cls: 0.0941 detection_loss_reg: 0.5278 caption_loss_cls: 2.8303 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.8394 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:31:13 - mmengine - INFO - Iter(train) [104500/480000] base_lr: 1.7773e-04 lr: 4.7561e-05 eta: 8 days, 9:30:31 time: 2.2766 data_time: 0.1188 memory: 26558 grad_norm: 0.9980 loss: 1.4407 grounding_loss_reg: 4.0689 detection_loss_cls: 0.0941 detection_loss_reg: 0.5271 caption_loss_cls: 2.8250 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:31:13 - mmengine - INFO - Saving checkpoint at 104500 iterations 2023/10/07 17:35:45 - mmengine - INFO - Iter(train) [104600/480000] base_lr: 1.7769e-04 lr: 4.7550e-05 eta: 8 days, 13:22:16 time: 2.2685 data_time: 0.1190 memory: 26558 grad_norm: 0.9979 loss: 1.4416 grounding_loss_reg: 4.0690 detection_loss_cls: 0.0940 detection_loss_reg: 0.5263 caption_loss_cls: 2.8300 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:39:40 - mmengine - INFO - Iter(train) [104700/480000] base_lr: 1.7765e-04 lr: 4.7539e-05 eta: 8 days, 15:09:17 time: 2.2640 data_time: 0.1190 memory: 26558 grad_norm: 1.0016 loss: 1.4395 grounding_loss_reg: 4.0684 detection_loss_cls: 0.0939 detection_loss_reg: 0.5250 caption_loss_cls: 2.8239 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.8410 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:43:13 - mmengine - INFO - Iter(train) [104800/480000] base_lr: 1.7761e-04 lr: 4.7529e-05 eta: 8 days, 15:43:11 time: 2.2498 data_time: 0.1190 memory: 25719 grad_norm: 1.0015 loss: 1.4365 grounding_loss_reg: 4.0679 detection_loss_cls: 0.0938 detection_loss_reg: 0.5246 caption_loss_cls: 2.8282 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.8409 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:46:30 - mmengine - INFO - Iter(train) [104900/480000] base_lr: 1.7757e-04 lr: 4.7518e-05 eta: 8 days, 15:33:45 time: 2.2453 data_time: 0.1190 memory: 25719 grad_norm: 1.0032 loss: 1.4341 grounding_loss_reg: 4.0674 detection_loss_cls: 0.0940 detection_loss_reg: 0.5261 caption_loss_cls: 2.8292 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2570 instance_segmentation_loss_poly: 0.8377 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:50:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_160050 2023/10/07 17:50:24 - mmengine - INFO - Iter(train) [105000/480000] base_lr: 1.7753e-04 lr: 4.7507e-05 eta: 8 days, 16:58:43 time: 2.2492 data_time: 0.1190 memory: 25719 grad_norm: 0.9979 loss: 1.4271 grounding_loss_reg: 4.0674 detection_loss_cls: 0.0941 detection_loss_reg: 0.5268 caption_loss_cls: 2.8323 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2570 instance_segmentation_loss_poly: 0.8378 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:50:24 - mmengine - INFO - Saving checkpoint at 105000 iterations 2023/10/07 17:55:04 - mmengine - INFO - Iter(train) [105100/480000] base_lr: 1.7749e-04 lr: 4.7497e-05 eta: 8 days, 20:05:41 time: 2.2389 data_time: 0.1190 memory: 26558 grad_norm: 1.0020 loss: 1.4324 grounding_loss_reg: 4.0662 detection_loss_cls: 0.0942 detection_loss_reg: 0.5269 caption_loss_cls: 2.8342 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8382 semantic_segmentation_loss_cls: 0.0158 2023/10/07 17:59:10 - mmengine - INFO - Iter(train) [105200/480000] base_lr: 1.7745e-04 lr: 4.7486e-05 eta: 8 days, 21:39:26 time: 2.2367 data_time: 0.1190 memory: 26558 grad_norm: 0.9989 loss: 1.4346 grounding_loss_reg: 4.0664 detection_loss_cls: 0.0944 detection_loss_reg: 0.5278 caption_loss_cls: 2.8336 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2572 instance_segmentation_loss_poly: 0.8384 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:02:42 - mmengine - INFO - Iter(train) [105300/480000] base_lr: 1.7740e-04 lr: 4.7475e-05 eta: 8 days, 21:51:29 time: 2.2255 data_time: 0.1190 memory: 26558 grad_norm: 1.0074 loss: 1.4450 grounding_loss_reg: 4.0641 detection_loss_cls: 0.0944 detection_loss_reg: 0.5280 caption_loss_cls: 2.8315 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2573 instance_segmentation_loss_poly: 0.8387 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:06:37 - mmengine - INFO - Iter(train) [105400/480000] base_lr: 1.7736e-04 lr: 4.7465e-05 eta: 8 days, 22:51:29 time: 2.2232 data_time: 0.1190 memory: 26558 grad_norm: 1.0026 loss: 1.4428 grounding_loss_reg: 4.0655 detection_loss_cls: 0.0945 detection_loss_reg: 0.5278 caption_loss_cls: 2.8341 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.8365 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:10:43 - mmengine - INFO - Iter(train) [105500/480000] base_lr: 1.7732e-04 lr: 4.7454e-05 eta: 9 days, 0:09:38 time: 2.2147 data_time: 0.1190 memory: 26558 grad_norm: 1.0060 loss: 1.4500 grounding_loss_reg: 4.0658 detection_loss_cls: 0.0945 detection_loss_reg: 0.5280 caption_loss_cls: 2.8347 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2567 instance_segmentation_loss_poly: 0.8358 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:10:43 - mmengine - INFO - Saving checkpoint at 105500 iterations 2023/10/07 18:16:05 - mmengine - INFO - Iter(train) [105600/480000] base_lr: 1.7728e-04 lr: 4.7443e-05 eta: 9 days, 3:56:36 time: 2.2142 data_time: 0.1189 memory: 26558 grad_norm: 1.0129 loss: 1.4587 grounding_loss_reg: 4.0639 detection_loss_cls: 0.0946 detection_loss_reg: 0.5276 caption_loss_cls: 2.8382 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2562 instance_segmentation_loss_poly: 0.8341 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:19:45 - mmengine - INFO - Iter(train) [105700/480000] base_lr: 1.7724e-04 lr: 4.7433e-05 eta: 9 days, 4:09:52 time: 2.2086 data_time: 0.1189 memory: 26558 grad_norm: 1.0127 loss: 1.4546 grounding_loss_reg: 4.0620 detection_loss_cls: 0.0942 detection_loss_reg: 0.5260 caption_loss_cls: 2.8354 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8327 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:23:58 - mmengine - INFO - Iter(train) [105800/480000] base_lr: 1.7720e-04 lr: 4.7422e-05 eta: 9 days, 5:23:32 time: 2.2075 data_time: 0.1190 memory: 26558 grad_norm: 1.0129 loss: 1.4656 grounding_loss_reg: 4.0619 detection_loss_cls: 0.0941 detection_loss_reg: 0.5250 caption_loss_cls: 2.8389 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8366 semantic_segmentation_loss_cls: 0.0157 2023/10/07 18:27:42 - mmengine - INFO - Iter(train) [105900/480000] base_lr: 1.7716e-04 lr: 4.7411e-05 eta: 9 days, 5:40:38 time: 2.1973 data_time: 0.1190 memory: 26558 grad_norm: 1.0166 loss: 1.4716 grounding_loss_reg: 4.0607 detection_loss_cls: 0.0937 detection_loss_reg: 0.5241 caption_loss_cls: 2.8384 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.8371 semantic_segmentation_loss_cls: 0.0157 2023/10/07 18:31:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_160050 2023/10/07 18:31:51 - mmengine - INFO - Iter(train) [106000/480000] base_lr: 1.7712e-04 lr: 4.7400e-05 eta: 9 days, 6:40:16 time: 2.2036 data_time: 0.1191 memory: 26558 grad_norm: 1.0151 loss: 1.4659 grounding_loss_reg: 4.0608 detection_loss_cls: 0.0936 detection_loss_reg: 0.5232 caption_loss_cls: 2.8382 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.8369 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:31:51 - mmengine - INFO - Saving checkpoint at 106000 iterations 2023/10/07 18:36:30 - mmengine - INFO - Iter(train) [106100/480000] base_lr: 1.7707e-04 lr: 4.7390e-05 eta: 9 days, 8:29:00 time: 2.1990 data_time: 0.1193 memory: 26558 grad_norm: 1.0224 loss: 1.4639 grounding_loss_reg: 4.0587 detection_loss_cls: 0.0934 detection_loss_reg: 0.5224 caption_loss_cls: 2.8406 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2576 instance_segmentation_loss_poly: 0.8353 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:40:58 - mmengine - INFO - Iter(train) [106200/480000] base_lr: 1.7703e-04 lr: 4.7379e-05 eta: 9 days, 9:51:38 time: 2.2005 data_time: 0.1192 memory: 26558 grad_norm: 1.0208 loss: 1.4634 grounding_loss_reg: 4.0583 detection_loss_cls: 0.0936 detection_loss_reg: 0.5239 caption_loss_cls: 2.8402 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.8353 semantic_segmentation_loss_cls: 0.0157 2023/10/07 18:45:11 - mmengine - INFO - Iter(train) [106300/480000] base_lr: 1.7699e-04 lr: 4.7368e-05 eta: 9 days, 10:47:37 time: 2.1984 data_time: 0.1192 memory: 26558 grad_norm: 1.0195 loss: 1.4655 grounding_loss_reg: 4.0578 detection_loss_cls: 0.0936 detection_loss_reg: 0.5246 caption_loss_cls: 2.8409 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8359 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:49:01 - mmengine - INFO - Iter(train) [106400/480000] base_lr: 1.7695e-04 lr: 4.7357e-05 eta: 9 days, 11:01:14 time: 2.2002 data_time: 0.1192 memory: 26558 grad_norm: 1.0192 loss: 1.4719 grounding_loss_reg: 4.0554 detection_loss_cls: 0.0935 detection_loss_reg: 0.5251 caption_loss_cls: 2.8419 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.8365 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:53:10 - mmengine - INFO - Iter(train) [106500/480000] base_lr: 1.7691e-04 lr: 4.7347e-05 eta: 9 days, 11:44:47 time: 2.1951 data_time: 0.1192 memory: 26558 grad_norm: 1.0248 loss: 1.4785 grounding_loss_reg: 4.0554 detection_loss_cls: 0.0937 detection_loss_reg: 0.5252 caption_loss_cls: 2.8433 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.8383 semantic_segmentation_loss_cls: 0.0158 2023/10/07 18:53:10 - mmengine - INFO - Saving checkpoint at 106500 iterations 2023/10/07 18:58:07 - mmengine - INFO - Iter(train) [106600/480000] base_lr: 1.7687e-04 lr: 4.7336e-05 eta: 9 days, 13:39:27 time: 2.2324 data_time: 0.1342 memory: 26558 grad_norm: 1.0211 loss: 1.4772 grounding_loss_reg: 4.0543 detection_loss_cls: 0.0936 detection_loss_reg: 0.5249 caption_loss_cls: 2.8401 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8366 semantic_segmentation_loss_cls: 0.0158 2023/10/07 19:02:24 - mmengine - INFO - Iter(train) [106700/480000] base_lr: 1.7682e-04 lr: 4.7325e-05 eta: 9 days, 14:28:28 time: 2.2589 data_time: 0.1343 memory: 26558 grad_norm: 1.0201 loss: 1.4826 grounding_loss_reg: 4.0533 detection_loss_cls: 0.0935 detection_loss_reg: 0.5258 caption_loss_cls: 2.8401 instance_segmentation_loss_cls: 0.0581 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.8373 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:06:08 - mmengine - INFO - Iter(train) [106800/480000] base_lr: 1.7678e-04 lr: 4.7314e-05 eta: 9 days, 14:26:08 time: 2.2764 data_time: 0.1342 memory: 25719 grad_norm: 1.0194 loss: 1.4854 grounding_loss_reg: 4.0518 detection_loss_cls: 0.0940 detection_loss_reg: 0.5293 caption_loss_cls: 2.8362 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8367 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:10:04 - mmengine - INFO - Iter(train) [106900/480000] base_lr: 1.7674e-04 lr: 4.7303e-05 eta: 9 days, 14:42:29 time: 2.2953 data_time: 0.1342 memory: 26558 grad_norm: 1.0195 loss: 1.4790 grounding_loss_reg: 4.0499 detection_loss_cls: 0.0937 detection_loss_reg: 0.5279 caption_loss_cls: 2.8322 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2569 instance_segmentation_loss_poly: 0.8343 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:13:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_160050 2023/10/07 19:13:51 - mmengine - INFO - Iter(train) [107000/480000] base_lr: 1.7670e-04 lr: 4.7293e-05 eta: 9 days, 14:45:07 time: 2.3081 data_time: 0.1341 memory: 26558 grad_norm: 1.0214 loss: 1.4769 grounding_loss_reg: 4.0483 detection_loss_cls: 0.0939 detection_loss_reg: 0.5289 caption_loss_cls: 2.8263 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2565 instance_segmentation_loss_poly: 0.8333 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:13:51 - mmengine - INFO - Saving checkpoint at 107000 iterations 2023/10/07 19:18:52 - mmengine - INFO - Iter(train) [107100/480000] base_lr: 1.7666e-04 lr: 4.7282e-05 eta: 9 days, 16:26:28 time: 2.3293 data_time: 0.1334 memory: 26558 grad_norm: 1.0187 loss: 1.4711 grounding_loss_reg: 4.0463 detection_loss_cls: 0.0943 detection_loss_reg: 0.5304 caption_loss_cls: 2.8268 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8323 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:22:55 - mmengine - INFO - Iter(train) [107200/480000] base_lr: 1.7662e-04 lr: 4.7271e-05 eta: 9 days, 16:46:58 time: 2.3499 data_time: 0.1337 memory: 26558 grad_norm: 1.0179 loss: 1.4781 grounding_loss_reg: 4.0456 detection_loss_cls: 0.0946 detection_loss_reg: 0.5312 caption_loss_cls: 2.8288 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.8353 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:27:33 - mmengine - INFO - Iter(train) [107300/480000] base_lr: 1.7657e-04 lr: 4.7260e-05 eta: 9 days, 17:53:01 time: 2.3757 data_time: 0.1337 memory: 26558 grad_norm: 1.0208 loss: 1.4819 grounding_loss_reg: 4.0449 detection_loss_cls: 0.0946 detection_loss_reg: 0.5323 caption_loss_cls: 2.8253 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.8358 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:31:01 - mmengine - INFO - Iter(train) [107400/480000] base_lr: 1.7653e-04 lr: 4.7249e-05 eta: 9 days, 17:26:32 time: 2.3821 data_time: 0.1337 memory: 26558 grad_norm: 1.0221 loss: 1.4849 grounding_loss_reg: 4.0430 detection_loss_cls: 0.0946 detection_loss_reg: 0.5328 caption_loss_cls: 2.8298 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2576 instance_segmentation_loss_poly: 0.8352 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:34:35 - mmengine - INFO - Iter(train) [107500/480000] base_lr: 1.7649e-04 lr: 4.7238e-05 eta: 9 days, 17:08:04 time: 2.3915 data_time: 0.1336 memory: 25719 grad_norm: 1.0206 loss: 1.4827 grounding_loss_reg: 4.0413 detection_loss_cls: 0.0945 detection_loss_reg: 0.5332 caption_loss_cls: 2.8291 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2573 instance_segmentation_loss_poly: 0.8340 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:34:35 - mmengine - INFO - Saving checkpoint at 107500 iterations 2023/10/07 19:40:02 - mmengine - INFO - Iter(train) [107600/480000] base_lr: 1.7645e-04 lr: 4.7227e-05 eta: 9 days, 19:07:21 time: 2.4088 data_time: 0.1333 memory: 26558 grad_norm: 1.0183 loss: 1.4791 grounding_loss_reg: 4.0391 detection_loss_cls: 0.0944 detection_loss_reg: 0.5335 caption_loss_cls: 2.8324 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8339 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:44:07 - mmengine - INFO - Iter(train) [107700/480000] base_lr: 1.7641e-04 lr: 4.7217e-05 eta: 9 days, 19:24:57 time: 2.4259 data_time: 0.1333 memory: 26558 grad_norm: 1.0188 loss: 1.4767 grounding_loss_reg: 4.0351 detection_loss_cls: 0.0945 detection_loss_reg: 0.5346 caption_loss_cls: 2.8280 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2576 instance_segmentation_loss_poly: 0.8342 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:48:26 - mmengine - INFO - Iter(train) [107800/480000] base_lr: 1.7636e-04 lr: 4.7206e-05 eta: 9 days, 19:57:43 time: 2.4387 data_time: 0.1333 memory: 26558 grad_norm: 1.0191 loss: 1.4794 grounding_loss_reg: 4.0350 detection_loss_cls: 0.0945 detection_loss_reg: 0.5350 caption_loss_cls: 2.8307 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.8345 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:52:30 - mmengine - INFO - Iter(train) [107900/480000] base_lr: 1.7632e-04 lr: 4.7195e-05 eta: 9 days, 20:11:59 time: 2.4506 data_time: 0.1333 memory: 26558 grad_norm: 1.0161 loss: 1.4843 grounding_loss_reg: 4.0351 detection_loss_cls: 0.0943 detection_loss_reg: 0.5342 caption_loss_cls: 2.8324 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.8347 semantic_segmentation_loss_cls: 0.0157 2023/10/07 19:57:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_160050 2023/10/07 19:57:13 - mmengine - INFO - Iter(train) [108000/480000] base_lr: 1.7628e-04 lr: 4.7184e-05 eta: 9 days, 21:10:21 time: 2.4685 data_time: 0.1333 memory: 26558 grad_norm: 1.0107 loss: 1.4816 grounding_loss_reg: 4.0317 detection_loss_cls: 0.0942 detection_loss_reg: 0.5336 caption_loss_cls: 2.8363 instance_segmentation_loss_cls: 0.0583 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.8340 semantic_segmentation_loss_cls: 0.0156 2023/10/07 19:57:13 - mmengine - INFO - Saving checkpoint at 108000 iterations 2023/10/07 20:02:32 - mmengine - INFO - Iter(train) [108100/480000] base_lr: 1.7624e-04 lr: 4.7173e-05 eta: 9 days, 22:44:39 time: 2.4837 data_time: 0.1335 memory: 26558 grad_norm: 1.0090 loss: 1.4775 grounding_loss_reg: 4.0301 detection_loss_cls: 0.0942 detection_loss_reg: 0.5333 caption_loss_cls: 2.8391 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.8339 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:06:31 - mmengine - INFO - Iter(train) [108200/480000] base_lr: 1.7620e-04 lr: 4.7162e-05 eta: 9 days, 22:49:42 time: 2.4914 data_time: 0.1333 memory: 26558 grad_norm: 1.0089 loss: 1.4702 grounding_loss_reg: 4.0300 detection_loss_cls: 0.0940 detection_loss_reg: 0.5318 caption_loss_cls: 2.8397 instance_segmentation_loss_cls: 0.0585 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.8347 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:10:45 - mmengine - INFO - Iter(train) [108300/480000] base_lr: 1.7615e-04 lr: 4.7151e-05 eta: 9 days, 23:10:18 time: 2.5000 data_time: 0.1333 memory: 25719 grad_norm: 1.0074 loss: 1.4736 grounding_loss_reg: 4.0290 detection_loss_cls: 0.0939 detection_loss_reg: 0.5317 caption_loss_cls: 2.8421 instance_segmentation_loss_cls: 0.0584 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.8337 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:15:06 - mmengine - INFO - Iter(train) [108400/480000] base_lr: 1.7611e-04 lr: 4.7140e-05 eta: 9 days, 23:37:13 time: 2.5105 data_time: 0.1332 memory: 25719 grad_norm: 1.0059 loss: 1.4712 grounding_loss_reg: 4.0285 detection_loss_cls: 0.0941 detection_loss_reg: 0.5313 caption_loss_cls: 2.8453 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.8329 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:18:54 - mmengine - INFO - Iter(train) [108500/480000] base_lr: 1.7607e-04 lr: 4.7129e-05 eta: 9 days, 23:28:46 time: 2.5150 data_time: 0.1332 memory: 26558 grad_norm: 1.0071 loss: 1.4726 grounding_loss_reg: 4.0283 detection_loss_cls: 0.0940 detection_loss_reg: 0.5312 caption_loss_cls: 2.8405 instance_segmentation_loss_cls: 0.0582 instance_segmentation_loss_reg: 0.2571 instance_segmentation_loss_poly: 0.8317 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:18:54 - mmengine - INFO - Saving checkpoint at 108500 iterations 2023/10/07 20:23:55 - mmengine - INFO - Iter(train) [108600/480000] base_lr: 1.7603e-04 lr: 4.7118e-05 eta: 10 days, 0:34:51 time: 2.5223 data_time: 0.1327 memory: 26558 grad_norm: 1.0056 loss: 1.4654 grounding_loss_reg: 4.0267 detection_loss_cls: 0.0940 detection_loss_reg: 0.5309 caption_loss_cls: 2.8395 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2569 instance_segmentation_loss_poly: 0.8313 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:28:27 - mmengine - INFO - Iter(train) [108700/480000] base_lr: 1.7599e-04 lr: 4.7107e-05 eta: 10 days, 1:09:24 time: 2.5313 data_time: 0.1327 memory: 26558 grad_norm: 1.0006 loss: 1.4648 grounding_loss_reg: 4.0258 detection_loss_cls: 0.0939 detection_loss_reg: 0.5304 caption_loss_cls: 2.8387 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2565 instance_segmentation_loss_poly: 0.8299 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:32:42 - mmengine - INFO - Iter(train) [108800/480000] base_lr: 1.7594e-04 lr: 4.7096e-05 eta: 10 days, 1:26:11 time: 2.5419 data_time: 0.1326 memory: 26558 grad_norm: 1.0021 loss: 1.4595 grounding_loss_reg: 4.0255 detection_loss_cls: 0.0942 detection_loss_reg: 0.5310 caption_loss_cls: 2.8352 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8280 semantic_segmentation_loss_cls: 0.0156 2023/10/07 20:36:23 - mmengine - INFO - Iter(train) [108900/480000] base_lr: 1.7590e-04 lr: 4.7085e-05 eta: 10 days, 1:09:51 time: 2.5480 data_time: 0.1327 memory: 26558 grad_norm: 1.0025 loss: 1.4556 grounding_loss_reg: 4.0248 detection_loss_cls: 0.0946 detection_loss_reg: 0.5318 caption_loss_cls: 2.8354 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2553 instance_segmentation_loss_poly: 0.8280 semantic_segmentation_loss_cls: 0.0157 2023/10/07 20:40:49 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_160050 2023/10/07 20:40:49 - mmengine - INFO - Iter(train) [109000/480000] base_lr: 1.7586e-04 lr: 4.7074e-05 eta: 10 days, 1:36:45 time: 2.5559 data_time: 0.1328 memory: 25719 grad_norm: 1.0039 loss: 1.4609 grounding_loss_reg: 4.0246 detection_loss_cls: 0.0943 detection_loss_reg: 0.5317 caption_loss_cls: 2.8434 instance_segmentation_loss_cls: 0.0577 instance_segmentation_loss_reg: 0.2543 instance_segmentation_loss_poly: 0.8270 semantic_segmentation_loss_cls: 0.0159 2023/10/07 20:40:49 - mmengine - INFO - Saving checkpoint at 109000 iterations 2023/10/07 20:45:45 - mmengine - INFO - Iter(train) [109100/480000] base_lr: 1.7582e-04 lr: 4.7063e-05 eta: 10 days, 2:30:30 time: 2.5600 data_time: 0.1329 memory: 26558 grad_norm: 1.0063 loss: 1.4659 grounding_loss_reg: 4.0236 detection_loss_cls: 0.0944 detection_loss_reg: 0.5313 caption_loss_cls: 2.8506 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2544 instance_segmentation_loss_poly: 0.8271 semantic_segmentation_loss_cls: 0.0159 2023/10/07 20:49:37 - mmengine - INFO - Iter(train) [109200/480000] base_lr: 1.7577e-04 lr: 4.7052e-05 eta: 10 days, 2:23:28 time: 2.5566 data_time: 0.1329 memory: 25719 grad_norm: 1.0060 loss: 1.4619 grounding_loss_reg: 4.0224 detection_loss_cls: 0.0941 detection_loss_reg: 0.5304 caption_loss_cls: 2.8551 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2541 instance_segmentation_loss_poly: 0.8267 semantic_segmentation_loss_cls: 0.0159 2023/10/07 20:53:31 - mmengine - INFO - Iter(train) [109300/480000] base_lr: 1.7573e-04 lr: 4.7041e-05 eta: 10 days, 2:18:16 time: 2.5620 data_time: 0.1329 memory: 25719 grad_norm: 0.9981 loss: 1.4552 grounding_loss_reg: 4.0213 detection_loss_cls: 0.0937 detection_loss_reg: 0.5294 caption_loss_cls: 2.8504 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8291 semantic_segmentation_loss_cls: 0.0159 2023/10/07 20:57:24 - mmengine - INFO - Iter(train) [109400/480000] base_lr: 1.7569e-04 lr: 4.7030e-05 eta: 10 days, 2:12:25 time: 2.5616 data_time: 0.1329 memory: 26558 grad_norm: 1.0038 loss: 1.4616 grounding_loss_reg: 4.0190 detection_loss_cls: 0.0942 detection_loss_reg: 0.5317 caption_loss_cls: 2.8507 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2552 instance_segmentation_loss_poly: 0.8297 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:41:17 - mmengine - INFO - Iter(train) [109500/480000] base_lr: 1.7565e-04 lr: 4.7019e-05 eta: 6 days, 20:07:08 time: 2.4507 data_time: 0.1179 memory: 26578 grad_norm: 1.0090 loss: 1.4483 grounding_loss_reg: 4.0170 detection_loss_cls: 0.0939 detection_loss_reg: 0.5325 caption_loss_cls: 2.8481 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8230 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:41:17 - mmengine - INFO - Saving checkpoint at 109500 iterations 2023/10/07 21:44:48 - mmengine - INFO - Iter(train) [109600/480000] base_lr: 1.7560e-04 lr: 4.7008e-05 eta: 7 days, 4:51:07 time: 2.4228 data_time: 0.1176 memory: 26578 grad_norm: 1.0068 loss: 1.4543 grounding_loss_reg: 4.0169 detection_loss_cls: 0.0938 detection_loss_reg: 0.5316 caption_loss_cls: 2.8504 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8243 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:47:29 - mmengine - INFO - Iter(train) [109700/480000] base_lr: 1.7556e-04 lr: 4.6997e-05 eta: 7 days, 3:53:51 time: 2.4082 data_time: 0.1176 memory: 26578 grad_norm: 1.0030 loss: 1.4517 grounding_loss_reg: 4.0151 detection_loss_cls: 0.0937 detection_loss_reg: 0.5321 caption_loss_cls: 2.8499 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.2540 instance_segmentation_loss_poly: 0.8244 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:50:23 - mmengine - INFO - Iter(train) [109800/480000] base_lr: 1.7552e-04 lr: 4.6986e-05 eta: 7 days, 4:38:21 time: 2.3884 data_time: 0.1175 memory: 26578 grad_norm: 1.0016 loss: 1.4425 grounding_loss_reg: 4.0134 detection_loss_cls: 0.0937 detection_loss_reg: 0.5320 caption_loss_cls: 2.8495 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8239 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:53:16 - mmengine - INFO - Iter(train) [109900/480000] base_lr: 1.7548e-04 lr: 4.6975e-05 eta: 7 days, 5:12:09 time: 2.3756 data_time: 0.1175 memory: 26578 grad_norm: 1.0011 loss: 1.4426 grounding_loss_reg: 4.0129 detection_loss_cls: 0.0935 detection_loss_reg: 0.5315 caption_loss_cls: 2.8501 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2540 instance_segmentation_loss_poly: 0.8251 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:56:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/07 21:56:10 - mmengine - INFO - Iter(train) [110000/480000] base_lr: 1.7543e-04 lr: 4.6964e-05 eta: 7 days, 5:45:14 time: 2.3570 data_time: 0.1175 memory: 26578 grad_norm: 1.0049 loss: 1.4557 grounding_loss_reg: 4.0113 detection_loss_cls: 0.0936 detection_loss_reg: 0.5323 caption_loss_cls: 2.8506 instance_segmentation_loss_cls: 0.0577 instance_segmentation_loss_reg: 0.2551 instance_segmentation_loss_poly: 0.8265 semantic_segmentation_loss_cls: 0.0159 2023/10/07 21:56:10 - mmengine - INFO - Saving checkpoint at 110000 iterations 2023/10/07 22:00:27 - mmengine - INFO - Iter(train) [110100/480000] base_lr: 1.7539e-04 lr: 4.6953e-05 eta: 7 days, 13:52:39 time: 2.3513 data_time: 0.1176 memory: 26578 grad_norm: 1.0005 loss: 1.4507 grounding_loss_reg: 4.0097 detection_loss_cls: 0.0935 detection_loss_reg: 0.5315 caption_loss_cls: 2.8503 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2542 instance_segmentation_loss_poly: 0.8248 semantic_segmentation_loss_cls: 0.0159 2023/10/07 22:03:21 - mmengine - INFO - Iter(train) [110200/480000] base_lr: 1.7535e-04 lr: 4.6942e-05 eta: 7 days, 13:33:41 time: 2.3280 data_time: 0.1175 memory: 25739 grad_norm: 1.0049 loss: 1.4546 grounding_loss_reg: 4.0091 detection_loss_cls: 0.0933 detection_loss_reg: 0.5310 caption_loss_cls: 2.8553 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2541 instance_segmentation_loss_poly: 0.8247 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:06:41 - mmengine - INFO - Iter(train) [110300/480000] base_lr: 1.7530e-04 lr: 4.6931e-05 eta: 7 days, 15:20:32 time: 2.3145 data_time: 0.1176 memory: 26578 grad_norm: 1.0032 loss: 1.4523 grounding_loss_reg: 4.0086 detection_loss_cls: 0.0935 detection_loss_reg: 0.5316 caption_loss_cls: 2.8550 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2543 instance_segmentation_loss_poly: 0.8256 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:09:54 - mmengine - INFO - Iter(train) [110400/480000] base_lr: 1.7526e-04 lr: 4.6920e-05 eta: 7 days, 16:21:26 time: 2.3054 data_time: 0.1175 memory: 26578 grad_norm: 1.0034 loss: 1.4473 grounding_loss_reg: 4.0052 detection_loss_cls: 0.0937 detection_loss_reg: 0.5329 caption_loss_cls: 2.8561 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8242 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:13:11 - mmengine - INFO - Iter(train) [110500/480000] base_lr: 1.7522e-04 lr: 4.6909e-05 eta: 7 days, 17:28:42 time: 2.2923 data_time: 0.1175 memory: 26578 grad_norm: 1.0041 loss: 1.4432 grounding_loss_reg: 4.0036 detection_loss_cls: 0.0937 detection_loss_reg: 0.5325 caption_loss_cls: 2.8542 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2528 instance_segmentation_loss_poly: 0.8215 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:13:11 - mmengine - INFO - Saving checkpoint at 110500 iterations 2023/10/07 22:17:23 - mmengine - INFO - Iter(train) [110600/480000] base_lr: 1.7518e-04 lr: 4.6897e-05 eta: 7 days, 22:03:09 time: 2.2811 data_time: 0.1177 memory: 26578 grad_norm: 0.9990 loss: 1.4402 grounding_loss_reg: 4.0029 detection_loss_cls: 0.0935 detection_loss_reg: 0.5323 caption_loss_cls: 2.8542 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8228 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:20:47 - mmengine - INFO - Iter(train) [110700/480000] base_lr: 1.7513e-04 lr: 4.6886e-05 eta: 7 days, 23:04:55 time: 2.2677 data_time: 0.1177 memory: 26578 grad_norm: 1.0014 loss: 1.4446 grounding_loss_reg: 4.0022 detection_loss_cls: 0.0934 detection_loss_reg: 0.5323 caption_loss_cls: 2.8570 instance_segmentation_loss_cls: 0.0573 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8240 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:24:10 - mmengine - INFO - Iter(train) [110800/480000] base_lr: 1.7509e-04 lr: 4.6875e-05 eta: 8 days, 0:00:21 time: 2.2627 data_time: 0.1176 memory: 26578 grad_norm: 0.9985 loss: 1.4382 grounding_loss_reg: 4.0005 detection_loss_cls: 0.0933 detection_loss_reg: 0.5307 caption_loss_cls: 2.8583 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2542 instance_segmentation_loss_poly: 0.8250 semantic_segmentation_loss_cls: 0.0157 2023/10/07 22:27:49 - mmengine - INFO - Iter(train) [110900/480000] base_lr: 1.7505e-04 lr: 4.6864e-05 eta: 8 days, 1:41:28 time: 2.2585 data_time: 0.1177 memory: 26578 grad_norm: 0.9965 loss: 1.4399 grounding_loss_reg: 4.0000 detection_loss_cls: 0.0934 detection_loss_reg: 0.5314 caption_loss_cls: 2.8585 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2537 instance_segmentation_loss_poly: 0.8233 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:30:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/07 22:30:58 - mmengine - INFO - Iter(train) [111000/480000] base_lr: 1.7500e-04 lr: 4.6853e-05 eta: 8 days, 1:37:29 time: 2.2488 data_time: 0.1178 memory: 26578 grad_norm: 0.9944 loss: 1.4400 grounding_loss_reg: 4.0002 detection_loss_cls: 0.0932 detection_loss_reg: 0.5299 caption_loss_cls: 2.8553 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2534 instance_segmentation_loss_poly: 0.8236 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:30:58 - mmengine - INFO - Saving checkpoint at 111000 iterations 2023/10/07 22:35:24 - mmengine - INFO - Iter(train) [111100/480000] base_lr: 1.7496e-04 lr: 4.6842e-05 eta: 8 days, 5:19:59 time: 2.2402 data_time: 0.1177 memory: 26578 grad_norm: 0.9937 loss: 1.4431 grounding_loss_reg: 4.0000 detection_loss_cls: 0.0934 detection_loss_reg: 0.5313 caption_loss_cls: 2.8609 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2531 instance_segmentation_loss_poly: 0.8228 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:38:54 - mmengine - INFO - Iter(train) [111200/480000] base_lr: 1.7492e-04 lr: 4.6830e-05 eta: 8 days, 6:05:49 time: 2.2320 data_time: 0.1175 memory: 26578 grad_norm: 0.9964 loss: 1.4394 grounding_loss_reg: 4.0014 detection_loss_cls: 0.0934 detection_loss_reg: 0.5310 caption_loss_cls: 2.8638 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2531 instance_segmentation_loss_poly: 0.8226 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:42:23 - mmengine - INFO - Iter(train) [111300/480000] base_lr: 1.7487e-04 lr: 4.6819e-05 eta: 8 days, 6:44:57 time: 2.2147 data_time: 0.1174 memory: 25739 grad_norm: 0.9957 loss: 1.4382 grounding_loss_reg: 4.0002 detection_loss_cls: 0.0932 detection_loss_reg: 0.5301 caption_loss_cls: 2.8691 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2527 instance_segmentation_loss_poly: 0.8211 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:45:49 - mmengine - INFO - Iter(train) [111400/480000] base_lr: 1.7483e-04 lr: 4.6808e-05 eta: 8 days, 7:12:11 time: 2.2142 data_time: 0.1174 memory: 25739 grad_norm: 0.9972 loss: 1.4409 grounding_loss_reg: 3.9992 detection_loss_cls: 0.0935 detection_loss_reg: 0.5303 caption_loss_cls: 2.8681 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2522 instance_segmentation_loss_poly: 0.8197 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:49:34 - mmengine - INFO - Iter(train) [111500/480000] base_lr: 1.7479e-04 lr: 4.6797e-05 eta: 8 days, 8:23:14 time: 2.2169 data_time: 0.1175 memory: 25739 grad_norm: 0.9917 loss: 1.4408 grounding_loss_reg: 3.9992 detection_loss_cls: 0.0942 detection_loss_reg: 0.5323 caption_loss_cls: 2.8693 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2520 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:49:34 - mmengine - INFO - Saving checkpoint at 111500 iterations 2023/10/07 22:54:13 - mmengine - INFO - Iter(train) [111600/480000] base_lr: 1.7474e-04 lr: 4.6786e-05 eta: 8 days, 11:35:35 time: 2.2050 data_time: 0.1174 memory: 26578 grad_norm: 0.9967 loss: 1.4445 grounding_loss_reg: 3.9992 detection_loss_cls: 0.0944 detection_loss_reg: 0.5328 caption_loss_cls: 2.8720 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8187 semantic_segmentation_loss_cls: 0.0158 2023/10/07 22:58:26 - mmengine - INFO - Iter(train) [111700/480000] base_lr: 1.7470e-04 lr: 4.6775e-05 eta: 8 days, 13:34:32 time: 2.2069 data_time: 0.1174 memory: 26578 grad_norm: 0.9944 loss: 1.4421 grounding_loss_reg: 3.9987 detection_loss_cls: 0.0948 detection_loss_reg: 0.5330 caption_loss_cls: 2.8748 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2519 instance_segmentation_loss_poly: 0.8183 semantic_segmentation_loss_cls: 0.0158 2023/10/07 23:02:03 - mmengine - INFO - Iter(train) [111800/480000] base_lr: 1.7466e-04 lr: 4.6763e-05 eta: 8 days, 14:07:02 time: 2.1965 data_time: 0.1173 memory: 26578 grad_norm: 1.0025 loss: 1.4486 grounding_loss_reg: 4.0004 detection_loss_cls: 0.0947 detection_loss_reg: 0.5321 caption_loss_cls: 2.8781 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2522 instance_segmentation_loss_poly: 0.8183 semantic_segmentation_loss_cls: 0.0157 2023/10/07 23:05:59 - mmengine - INFO - Iter(train) [111900/480000] base_lr: 1.7462e-04 lr: 4.6752e-05 eta: 8 days, 15:15:48 time: 2.1944 data_time: 0.1174 memory: 26578 grad_norm: 1.0003 loss: 1.4374 grounding_loss_reg: 4.0009 detection_loss_cls: 0.0948 detection_loss_reg: 0.5317 caption_loss_cls: 2.8769 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2528 instance_segmentation_loss_poly: 0.8194 semantic_segmentation_loss_cls: 0.0158 2023/10/07 23:10:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/07 23:10:03 - mmengine - INFO - Iter(train) [112000/480000] base_lr: 1.7457e-04 lr: 4.6741e-05 eta: 8 days, 16:37:35 time: 2.1846 data_time: 0.1174 memory: 26578 grad_norm: 1.0034 loss: 1.4410 grounding_loss_reg: 3.9987 detection_loss_cls: 0.0947 detection_loss_reg: 0.5314 caption_loss_cls: 2.8736 instance_segmentation_loss_cls: 0.0574 instance_segmentation_loss_reg: 0.2537 instance_segmentation_loss_poly: 0.8214 semantic_segmentation_loss_cls: 0.0158 2023/10/07 23:10:03 - mmengine - INFO - Saving checkpoint at 112000 iterations 2023/10/07 23:15:15 - mmengine - INFO - Iter(train) [112100/480000] base_lr: 1.7453e-04 lr: 4.6730e-05 eta: 8 days, 20:07:27 time: 2.1830 data_time: 0.1174 memory: 26578 grad_norm: 1.0107 loss: 1.4543 grounding_loss_reg: 3.9979 detection_loss_cls: 0.0944 detection_loss_reg: 0.5304 caption_loss_cls: 2.8712 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.8243 semantic_segmentation_loss_cls: 0.0158 2023/10/07 23:19:04 - mmengine - INFO - Iter(train) [112200/480000] base_lr: 1.7448e-04 lr: 4.6718e-05 eta: 8 days, 20:45:27 time: 2.1805 data_time: 0.1175 memory: 26578 grad_norm: 1.0106 loss: 1.4569 grounding_loss_reg: 3.9960 detection_loss_cls: 0.0945 detection_loss_reg: 0.5310 caption_loss_cls: 2.8771 instance_segmentation_loss_cls: 0.0578 instance_segmentation_loss_reg: 0.2553 instance_segmentation_loss_poly: 0.8246 semantic_segmentation_loss_cls: 0.0158 2023/10/07 23:23:27 - mmengine - INFO - Iter(train) [112300/480000] base_lr: 1.7444e-04 lr: 4.6707e-05 eta: 8 days, 22:22:45 time: 2.1826 data_time: 0.1175 memory: 26578 grad_norm: 1.0119 loss: 1.4591 grounding_loss_reg: 3.9940 detection_loss_cls: 0.0944 detection_loss_reg: 0.5315 caption_loss_cls: 2.8798 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2555 instance_segmentation_loss_poly: 0.8248 semantic_segmentation_loss_cls: 0.0158 2023/10/07 23:27:17 - mmengine - INFO - Iter(train) [112400/480000] base_lr: 1.7440e-04 lr: 4.6696e-05 eta: 8 days, 22:55:42 time: 2.1748 data_time: 0.1175 memory: 26578 grad_norm: 1.0158 loss: 1.4618 grounding_loss_reg: 3.9931 detection_loss_cls: 0.0940 detection_loss_reg: 0.5306 caption_loss_cls: 2.8795 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8244 semantic_segmentation_loss_cls: 0.0157 2023/10/07 23:31:22 - mmengine - INFO - Iter(train) [112500/480000] base_lr: 1.7435e-04 lr: 4.6685e-05 eta: 8 days, 23:52:50 time: 2.1792 data_time: 0.1176 memory: 26578 grad_norm: 1.0149 loss: 1.4599 grounding_loss_reg: 3.9932 detection_loss_cls: 0.0937 detection_loss_reg: 0.5291 caption_loss_cls: 2.8798 instance_segmentation_loss_cls: 0.0576 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8241 semantic_segmentation_loss_cls: 0.0157 2023/10/07 23:31:22 - mmengine - INFO - Saving checkpoint at 112500 iterations 2023/10/07 23:36:00 - mmengine - INFO - Iter(train) [112600/480000] base_lr: 1.7431e-04 lr: 4.6673e-05 eta: 9 days, 1:41:51 time: 2.1734 data_time: 0.1179 memory: 26578 grad_norm: 1.0225 loss: 1.4732 grounding_loss_reg: 3.9927 detection_loss_cls: 0.0936 detection_loss_reg: 0.5289 caption_loss_cls: 2.8814 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2543 instance_segmentation_loss_poly: 0.8222 semantic_segmentation_loss_cls: 0.0156 2023/10/07 23:40:24 - mmengine - INFO - Iter(train) [112700/480000] base_lr: 1.7427e-04 lr: 4.6662e-05 eta: 9 days, 3:01:45 time: 2.1714 data_time: 0.1180 memory: 26578 grad_norm: 1.0206 loss: 1.4756 grounding_loss_reg: 3.9926 detection_loss_cls: 0.0938 detection_loss_reg: 0.5304 caption_loss_cls: 2.8793 instance_segmentation_loss_cls: 0.0572 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8237 semantic_segmentation_loss_cls: 0.0156 2023/10/07 23:44:38 - mmengine - INFO - Iter(train) [112800/480000] base_lr: 1.7422e-04 lr: 4.6651e-05 eta: 9 days, 4:01:59 time: 2.1712 data_time: 0.1180 memory: 26578 grad_norm: 1.0175 loss: 1.4786 grounding_loss_reg: 3.9926 detection_loss_cls: 0.0938 detection_loss_reg: 0.5303 caption_loss_cls: 2.8762 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8243 semantic_segmentation_loss_cls: 0.0157 2023/10/07 23:48:23 - mmengine - INFO - Iter(train) [112900/480000] base_lr: 1.7418e-04 lr: 4.6639e-05 eta: 9 days, 4:13:44 time: 2.1723 data_time: 0.1180 memory: 26578 grad_norm: 1.0145 loss: 1.4801 grounding_loss_reg: 3.9909 detection_loss_cls: 0.0934 detection_loss_reg: 0.5280 caption_loss_cls: 2.8741 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.8246 semantic_segmentation_loss_cls: 0.0156 2023/10/07 23:52:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/07 23:52:33 - mmengine - INFO - Iter(train) [113000/480000] base_lr: 1.7414e-04 lr: 4.6628e-05 eta: 9 days, 5:01:34 time: 2.1681 data_time: 0.1179 memory: 26578 grad_norm: 1.0165 loss: 1.4762 grounding_loss_reg: 3.9907 detection_loss_cls: 0.0936 detection_loss_reg: 0.5293 caption_loss_cls: 2.8724 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2546 instance_segmentation_loss_poly: 0.8228 semantic_segmentation_loss_cls: 0.0156 2023/10/07 23:52:33 - mmengine - INFO - Saving checkpoint at 113000 iterations 2023/10/07 23:57:37 - mmengine - INFO - Iter(train) [113100/480000] base_lr: 1.7409e-04 lr: 4.6617e-05 eta: 9 days, 7:07:59 time: 2.2065 data_time: 0.1332 memory: 26578 grad_norm: 1.0130 loss: 1.4783 grounding_loss_reg: 3.9890 detection_loss_cls: 0.0935 detection_loss_reg: 0.5283 caption_loss_cls: 2.8691 instance_segmentation_loss_cls: 0.0570 instance_segmentation_loss_reg: 0.2550 instance_segmentation_loss_poly: 0.8233 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:02:00 - mmengine - INFO - Iter(train) [113200/480000] base_lr: 1.7405e-04 lr: 4.6605e-05 eta: 9 days, 8:08:43 time: 2.2349 data_time: 0.1332 memory: 26578 grad_norm: 1.0126 loss: 1.4810 grounding_loss_reg: 3.9879 detection_loss_cls: 0.0934 detection_loss_reg: 0.5277 caption_loss_cls: 2.8700 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2553 instance_segmentation_loss_poly: 0.8237 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:05:49 - mmengine - INFO - Iter(train) [113300/480000] base_lr: 1.7401e-04 lr: 4.6594e-05 eta: 9 days, 8:18:07 time: 2.2530 data_time: 0.1331 memory: 25739 grad_norm: 1.0124 loss: 1.4842 grounding_loss_reg: 3.9876 detection_loss_cls: 0.0934 detection_loss_reg: 0.5281 caption_loss_cls: 2.8713 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8243 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:09:37 - mmengine - INFO - Iter(train) [113400/480000] base_lr: 1.7396e-04 lr: 4.6583e-05 eta: 9 days, 8:24:54 time: 2.2693 data_time: 0.1331 memory: 26578 grad_norm: 1.0118 loss: 1.4878 grounding_loss_reg: 3.9876 detection_loss_cls: 0.0935 detection_loss_reg: 0.5299 caption_loss_cls: 2.8687 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2545 instance_segmentation_loss_poly: 0.8219 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:13:25 - mmengine - INFO - Iter(train) [113500/480000] base_lr: 1.7392e-04 lr: 4.6571e-05 eta: 9 days, 8:31:01 time: 2.2817 data_time: 0.1331 memory: 26578 grad_norm: 1.0139 loss: 1.4954 grounding_loss_reg: 3.9860 detection_loss_cls: 0.0937 detection_loss_reg: 0.5318 caption_loss_cls: 2.8711 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2539 instance_segmentation_loss_poly: 0.8203 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:13:25 - mmengine - INFO - Saving checkpoint at 113500 iterations 2023/10/08 00:18:34 - mmengine - INFO - Iter(train) [113600/480000] base_lr: 1.7387e-04 lr: 4.6560e-05 eta: 9 days, 10:25:10 time: 2.3063 data_time: 0.1336 memory: 26578 grad_norm: 1.0127 loss: 1.4839 grounding_loss_reg: 3.9848 detection_loss_cls: 0.0940 detection_loss_reg: 0.5329 caption_loss_cls: 2.8702 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8194 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:22:37 - mmengine - INFO - Iter(train) [113700/480000] base_lr: 1.7383e-04 lr: 4.6549e-05 eta: 9 days, 10:47:55 time: 2.3266 data_time: 0.1337 memory: 26578 grad_norm: 1.0120 loss: 1.4876 grounding_loss_reg: 3.9859 detection_loss_cls: 0.0939 detection_loss_reg: 0.5333 caption_loss_cls: 2.8711 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2540 instance_segmentation_loss_poly: 0.8195 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:27:12 - mmengine - INFO - Iter(train) [113800/480000] base_lr: 1.7379e-04 lr: 4.6537e-05 eta: 9 days, 11:49:58 time: 2.3519 data_time: 0.1337 memory: 26578 grad_norm: 1.0145 loss: 1.4966 grounding_loss_reg: 3.9838 detection_loss_cls: 0.0941 detection_loss_reg: 0.5346 caption_loss_cls: 2.8739 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2544 instance_segmentation_loss_poly: 0.8196 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:30:48 - mmengine - INFO - Iter(train) [113900/480000] base_lr: 1.7374e-04 lr: 4.6526e-05 eta: 9 days, 11:36:21 time: 2.3626 data_time: 0.1337 memory: 26578 grad_norm: 1.0160 loss: 1.4967 grounding_loss_reg: 3.9841 detection_loss_cls: 0.0943 detection_loss_reg: 0.5361 caption_loss_cls: 2.8745 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2543 instance_segmentation_loss_poly: 0.8194 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:34:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/08 00:34:16 - mmengine - INFO - Iter(train) [114000/480000] base_lr: 1.7370e-04 lr: 4.6514e-05 eta: 9 days, 11:13:10 time: 2.3710 data_time: 0.1335 memory: 25739 grad_norm: 1.0157 loss: 1.4875 grounding_loss_reg: 3.9825 detection_loss_cls: 0.0947 detection_loss_reg: 0.5374 caption_loss_cls: 2.8754 instance_segmentation_loss_cls: 0.0565 instance_segmentation_loss_reg: 0.2533 instance_segmentation_loss_poly: 0.8170 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:34:16 - mmengine - INFO - Saving checkpoint at 114000 iterations 2023/10/08 00:39:36 - mmengine - INFO - Iter(train) [114100/480000] base_lr: 1.7365e-04 lr: 4.6503e-05 eta: 9 days, 13:05:25 time: 2.3870 data_time: 0.1337 memory: 26578 grad_norm: 1.0135 loss: 1.4843 grounding_loss_reg: 3.9827 detection_loss_cls: 0.0944 detection_loss_reg: 0.5357 caption_loss_cls: 2.8690 instance_segmentation_loss_cls: 0.0567 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8181 semantic_segmentation_loss_cls: 0.0156 2023/10/08 00:43:50 - mmengine - INFO - Iter(train) [114200/480000] base_lr: 1.7361e-04 lr: 4.6492e-05 eta: 9 days, 13:34:37 time: 2.4069 data_time: 0.1337 memory: 26578 grad_norm: 1.0155 loss: 1.4854 grounding_loss_reg: 3.9791 detection_loss_cls: 0.0941 detection_loss_reg: 0.5355 caption_loss_cls: 2.8721 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2533 instance_segmentation_loss_poly: 0.8172 semantic_segmentation_loss_cls: 0.0155 2023/10/08 00:48:04 - mmengine - INFO - Iter(train) [114300/480000] base_lr: 1.7357e-04 lr: 4.6480e-05 eta: 9 days, 14:03:21 time: 2.4205 data_time: 0.1337 memory: 26578 grad_norm: 1.0155 loss: 1.4820 grounding_loss_reg: 3.9780 detection_loss_cls: 0.0940 detection_loss_reg: 0.5345 caption_loss_cls: 2.8676 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8182 semantic_segmentation_loss_cls: 0.0155 2023/10/08 00:52:09 - mmengine - INFO - Iter(train) [114400/480000] base_lr: 1.7352e-04 lr: 4.6469e-05 eta: 9 days, 14:20:20 time: 2.4335 data_time: 0.1338 memory: 26578 grad_norm: 1.0137 loss: 1.4862 grounding_loss_reg: 3.9784 detection_loss_cls: 0.0940 detection_loss_reg: 0.5357 caption_loss_cls: 2.8615 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2546 instance_segmentation_loss_poly: 0.8216 semantic_segmentation_loss_cls: 0.0155 2023/10/08 00:56:49 - mmengine - INFO - Iter(train) [114500/480000] base_lr: 1.7348e-04 lr: 4.6457e-05 eta: 9 days, 15:15:14 time: 2.4542 data_time: 0.1338 memory: 26578 grad_norm: 1.0088 loss: 1.4822 grounding_loss_reg: 3.9769 detection_loss_cls: 0.0938 detection_loss_reg: 0.5339 caption_loss_cls: 2.8622 instance_segmentation_loss_cls: 0.0566 instance_segmentation_loss_reg: 0.2545 instance_segmentation_loss_poly: 0.8203 semantic_segmentation_loss_cls: 0.0155 2023/10/08 00:56:49 - mmengine - INFO - Saving checkpoint at 114500 iterations 2023/10/08 01:02:07 - mmengine - INFO - Iter(train) [114600/480000] base_lr: 1.7343e-04 lr: 4.6446e-05 eta: 9 days, 16:49:31 time: 2.4705 data_time: 0.1338 memory: 26578 grad_norm: 1.0080 loss: 1.4843 grounding_loss_reg: 3.9758 detection_loss_cls: 0.0943 detection_loss_reg: 0.5354 caption_loss_cls: 2.8612 instance_segmentation_loss_cls: 0.0569 instance_segmentation_loss_reg: 0.2555 instance_segmentation_loss_poly: 0.8219 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:06:03 - mmengine - INFO - Iter(train) [114700/480000] base_lr: 1.7339e-04 lr: 4.6434e-05 eta: 9 days, 16:53:42 time: 2.4790 data_time: 0.1338 memory: 26578 grad_norm: 1.0069 loss: 1.4758 grounding_loss_reg: 3.9749 detection_loss_cls: 0.0940 detection_loss_reg: 0.5346 caption_loss_cls: 2.8608 instance_segmentation_loss_cls: 0.0568 instance_segmentation_loss_reg: 0.2552 instance_segmentation_loss_poly: 0.8210 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:10:16 - mmengine - INFO - Iter(train) [114800/480000] base_lr: 1.7335e-04 lr: 4.6423e-05 eta: 9 days, 17:14:21 time: 2.4913 data_time: 0.1338 memory: 25739 grad_norm: 1.0067 loss: 1.4767 grounding_loss_reg: 3.9749 detection_loss_cls: 0.0941 detection_loss_reg: 0.5349 caption_loss_cls: 2.8634 instance_segmentation_loss_cls: 0.0564 instance_segmentation_loss_reg: 0.2535 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:14:37 - mmengine - INFO - Iter(train) [114900/480000] base_lr: 1.7330e-04 lr: 4.6411e-05 eta: 9 days, 17:42:23 time: 2.5017 data_time: 0.1338 memory: 25739 grad_norm: 1.0053 loss: 1.4772 grounding_loss_reg: 3.9729 detection_loss_cls: 0.0945 detection_loss_reg: 0.5352 caption_loss_cls: 2.8670 instance_segmentation_loss_cls: 0.0562 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8176 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:18:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/08 01:18:15 - mmengine - INFO - Iter(train) [115000/480000] base_lr: 1.7326e-04 lr: 4.6400e-05 eta: 9 days, 17:25:22 time: 2.5089 data_time: 0.1337 memory: 26578 grad_norm: 1.0070 loss: 1.4821 grounding_loss_reg: 3.9737 detection_loss_cls: 0.0945 detection_loss_reg: 0.5354 caption_loss_cls: 2.8682 instance_segmentation_loss_cls: 0.0562 instance_segmentation_loss_reg: 0.2528 instance_segmentation_loss_poly: 0.8175 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:18:15 - mmengine - INFO - Saving checkpoint at 115000 iterations 2023/10/08 01:23:15 - mmengine - INFO - Iter(train) [115100/480000] base_lr: 1.7321e-04 lr: 4.6388e-05 eta: 9 days, 18:31:00 time: 2.5174 data_time: 0.1337 memory: 26578 grad_norm: 1.0060 loss: 1.4828 grounding_loss_reg: 3.9722 detection_loss_cls: 0.0949 detection_loss_reg: 0.5379 caption_loss_cls: 2.8696 instance_segmentation_loss_cls: 0.0560 instance_segmentation_loss_reg: 0.2527 instance_segmentation_loss_poly: 0.8168 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:27:50 - mmengine - INFO - Iter(train) [115200/480000] base_lr: 1.7317e-04 lr: 4.6377e-05 eta: 9 days, 19:10:01 time: 2.5336 data_time: 0.1336 memory: 26578 grad_norm: 1.0019 loss: 1.4701 grounding_loss_reg: 3.9703 detection_loss_cls: 0.0947 detection_loss_reg: 0.5368 caption_loss_cls: 2.8652 instance_segmentation_loss_cls: 0.0559 instance_segmentation_loss_reg: 0.2519 instance_segmentation_loss_poly: 0.8146 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:32:03 - mmengine - INFO - Iter(train) [115300/480000] base_lr: 1.7312e-04 lr: 4.6365e-05 eta: 9 days, 19:26:53 time: 2.5447 data_time: 0.1337 memory: 26578 grad_norm: 1.0016 loss: 1.4708 grounding_loss_reg: 3.9701 detection_loss_cls: 0.0947 detection_loss_reg: 0.5366 caption_loss_cls: 2.8673 instance_segmentation_loss_cls: 0.0559 instance_segmentation_loss_reg: 0.2513 instance_segmentation_loss_poly: 0.8120 semantic_segmentation_loss_cls: 0.0155 2023/10/08 01:35:47 - mmengine - INFO - Iter(train) [115400/480000] base_lr: 1.7308e-04 lr: 4.6354e-05 eta: 9 days, 19:14:24 time: 2.5490 data_time: 0.1337 memory: 26578 grad_norm: 0.9999 loss: 1.4698 grounding_loss_reg: 3.9723 detection_loss_cls: 0.0948 detection_loss_reg: 0.5368 caption_loss_cls: 2.8689 instance_segmentation_loss_cls: 0.0560 instance_segmentation_loss_reg: 0.2516 instance_segmentation_loss_poly: 0.8130 semantic_segmentation_loss_cls: 0.0154 2023/10/08 01:40:17 - mmengine - INFO - Iter(train) [115500/480000] base_lr: 1.7304e-04 lr: 4.6342e-05 eta: 9 days, 19:46:33 time: 2.5605 data_time: 0.1337 memory: 25739 grad_norm: 0.9983 loss: 1.4625 grounding_loss_reg: 3.9718 detection_loss_cls: 0.0947 detection_loss_reg: 0.5370 caption_loss_cls: 2.8678 instance_segmentation_loss_cls: 0.0559 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8124 semantic_segmentation_loss_cls: 0.0154 2023/10/08 01:40:17 - mmengine - INFO - Saving checkpoint at 115500 iterations 2023/10/08 01:45:14 - mmengine - INFO - Iter(train) [115600/480000] base_lr: 1.7299e-04 lr: 4.6331e-05 eta: 9 days, 20:41:36 time: 2.5651 data_time: 0.1337 memory: 26578 grad_norm: 1.0009 loss: 1.4721 grounding_loss_reg: 3.9698 detection_loss_cls: 0.0949 detection_loss_reg: 0.5375 caption_loss_cls: 2.8692 instance_segmentation_loss_cls: 0.0559 instance_segmentation_loss_reg: 0.2518 instance_segmentation_loss_poly: 0.8126 semantic_segmentation_loss_cls: 0.0154 2023/10/08 01:49:15 - mmengine - INFO - Iter(train) [115700/480000] base_lr: 1.7295e-04 lr: 4.6319e-05 eta: 9 days, 20:43:40 time: 2.5620 data_time: 0.1336 memory: 25739 grad_norm: 1.0001 loss: 1.4758 grounding_loss_reg: 3.9695 detection_loss_cls: 0.0947 detection_loss_reg: 0.5359 caption_loss_cls: 2.8742 instance_segmentation_loss_cls: 0.0559 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8137 semantic_segmentation_loss_cls: 0.0154 2023/10/08 01:53:14 - mmengine - INFO - Iter(train) [115800/480000] base_lr: 1.7290e-04 lr: 4.6308e-05 eta: 9 days, 20:44:10 time: 2.5674 data_time: 0.1337 memory: 25739 grad_norm: 0.9926 loss: 1.4661 grounding_loss_reg: 3.9681 detection_loss_cls: 0.0949 detection_loss_reg: 0.5373 caption_loss_cls: 2.8726 instance_segmentation_loss_cls: 0.0558 instance_segmentation_loss_reg: 0.2523 instance_segmentation_loss_poly: 0.8142 semantic_segmentation_loss_cls: 0.0154 2023/10/08 01:57:07 - mmengine - INFO - Iter(train) [115900/480000] base_lr: 1.7286e-04 lr: 4.6296e-05 eta: 9 days, 20:39:21 time: 2.5667 data_time: 0.1336 memory: 26578 grad_norm: 0.9974 loss: 1.4772 grounding_loss_reg: 3.9686 detection_loss_cls: 0.0952 detection_loss_reg: 0.5393 caption_loss_cls: 2.8750 instance_segmentation_loss_cls: 0.0558 instance_segmentation_loss_reg: 0.2524 instance_segmentation_loss_poly: 0.8142 semantic_segmentation_loss_cls: 0.0154 2023/10/08 02:00:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231007_210152 2023/10/08 02:00:28 - mmengine - INFO - Iter(train) [116000/480000] base_lr: 1.7281e-04 lr: 4.6285e-05 eta: 9 days, 20:06:52 time: 2.5559 data_time: 0.1335 memory: 26578 grad_norm: 1.0039 loss: 1.4785 grounding_loss_reg: 3.9680 detection_loss_cls: 0.0954 detection_loss_reg: 0.5396 caption_loss_cls: 2.8723 instance_segmentation_loss_cls: 0.0558 instance_segmentation_loss_reg: 0.2523 instance_segmentation_loss_poly: 0.8137 semantic_segmentation_loss_cls: 0.0155 2023/10/08 02:00:28 - mmengine - INFO - Saving checkpoint at 116000 iterations 2023/10/10 01:09:30 - mmengine - INFO - Iter(train) [116100/480000] base_lr: 1.7277e-04 lr: 4.6273e-05 eta: 6 days, 20:24:17 time: 2.5186 data_time: 0.1184 memory: 26568 grad_norm: 1.0068 loss: 1.4803 grounding_loss_reg: 3.9683 detection_loss_cls: 0.0957 detection_loss_reg: 0.5404 caption_loss_cls: 2.8729 instance_segmentation_loss_cls: 0.0556 instance_segmentation_loss_reg: 0.2516 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:12:11 - mmengine - INFO - Iter(train) [116200/480000] base_lr: 1.7272e-04 lr: 4.6262e-05 eta: 6 days, 19:13:17 time: 2.5014 data_time: 0.1183 memory: 26568 grad_norm: 1.0059 loss: 1.4760 grounding_loss_reg: 3.9682 detection_loss_cls: 0.0957 detection_loss_reg: 0.5413 caption_loss_cls: 2.8789 instance_segmentation_loss_cls: 0.0556 instance_segmentation_loss_reg: 0.2517 instance_segmentation_loss_poly: 0.8127 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:14:56 - mmengine - INFO - Iter(train) [116300/480000] base_lr: 1.7268e-04 lr: 4.6250e-05 eta: 6 days, 20:27:59 time: 2.4771 data_time: 0.1183 memory: 26568 grad_norm: 1.0088 loss: 1.4768 grounding_loss_reg: 3.9669 detection_loss_cls: 0.0956 detection_loss_reg: 0.5407 caption_loss_cls: 2.8784 instance_segmentation_loss_cls: 0.0551 instance_segmentation_loss_reg: 0.2504 instance_segmentation_loss_poly: 0.8100 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:17:47 - mmengine - INFO - Iter(train) [116400/480000] base_lr: 1.7263e-04 lr: 4.6238e-05 eta: 6 days, 22:21:42 time: 2.4622 data_time: 0.1183 memory: 26568 grad_norm: 1.0080 loss: 1.4767 grounding_loss_reg: 3.9661 detection_loss_cls: 0.0956 detection_loss_reg: 0.5406 caption_loss_cls: 2.8764 instance_segmentation_loss_cls: 0.0551 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8093 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:20:53 - mmengine - INFO - Iter(train) [116500/480000] base_lr: 1.7259e-04 lr: 4.6227e-05 eta: 7 days, 2:42:28 time: 2.4475 data_time: 0.1183 memory: 26568 grad_norm: 1.0089 loss: 1.4789 grounding_loss_reg: 3.9654 detection_loss_cls: 0.0958 detection_loss_reg: 0.5410 caption_loss_cls: 2.8763 instance_segmentation_loss_cls: 0.0549 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8092 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:20:53 - mmengine - INFO - Saving checkpoint at 116500 iterations 2023/10/10 01:24:41 - mmengine - INFO - Iter(train) [116600/480000] base_lr: 1.7254e-04 lr: 4.6215e-05 eta: 7 days, 12:30:47 time: 2.4350 data_time: 0.1183 memory: 26568 grad_norm: 1.0050 loss: 1.4718 grounding_loss_reg: 3.9649 detection_loss_cls: 0.0959 detection_loss_reg: 0.5413 caption_loss_cls: 2.8764 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8091 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:27:42 - mmengine - INFO - Iter(train) [116700/480000] base_lr: 1.7250e-04 lr: 4.6204e-05 eta: 7 days, 12:47:50 time: 2.4144 data_time: 0.1182 memory: 26568 grad_norm: 1.0084 loss: 1.4718 grounding_loss_reg: 3.9658 detection_loss_cls: 0.0958 detection_loss_reg: 0.5405 caption_loss_cls: 2.8779 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2491 instance_segmentation_loss_poly: 0.8066 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:30:55 - mmengine - INFO - Iter(train) [116800/480000] base_lr: 1.7245e-04 lr: 4.6192e-05 eta: 7 days, 14:30:15 time: 2.3991 data_time: 0.1182 memory: 26568 grad_norm: 1.0078 loss: 1.4726 grounding_loss_reg: 3.9645 detection_loss_cls: 0.0960 detection_loss_reg: 0.5405 caption_loss_cls: 2.8800 instance_segmentation_loss_cls: 0.0549 instance_segmentation_loss_reg: 0.2496 instance_segmentation_loss_poly: 0.8082 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:34:07 - mmengine - INFO - Iter(train) [116900/480000] base_lr: 1.7241e-04 lr: 4.6180e-05 eta: 7 days, 15:42:44 time: 2.3907 data_time: 0.1182 memory: 26568 grad_norm: 1.0065 loss: 1.4702 grounding_loss_reg: 3.9623 detection_loss_cls: 0.0961 detection_loss_reg: 0.5417 caption_loss_cls: 2.8842 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2487 instance_segmentation_loss_poly: 0.8070 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:37:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_004050 2023/10/10 01:37:13 - mmengine - INFO - Iter(train) [117000/480000] base_lr: 1.7236e-04 lr: 4.6169e-05 eta: 7 days, 15:59:30 time: 2.3747 data_time: 0.1182 memory: 26568 grad_norm: 1.0087 loss: 1.4748 grounding_loss_reg: 3.9627 detection_loss_cls: 0.0961 detection_loss_reg: 0.5416 caption_loss_cls: 2.8846 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2485 instance_segmentation_loss_poly: 0.8060 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:37:13 - mmengine - INFO - Saving checkpoint at 117000 iterations 2023/10/10 01:41:30 - mmengine - INFO - Iter(train) [117100/480000] base_lr: 1.7232e-04 lr: 4.6157e-05 eta: 7 days, 22:45:47 time: 2.3629 data_time: 0.1184 memory: 26568 grad_norm: 1.0068 loss: 1.4737 grounding_loss_reg: 3.9624 detection_loss_cls: 0.0964 detection_loss_reg: 0.5434 caption_loss_cls: 2.8849 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2476 instance_segmentation_loss_poly: 0.8046 semantic_segmentation_loss_cls: 0.0154 2023/10/10 01:44:22 - mmengine - INFO - Iter(train) [117200/480000] base_lr: 1.7228e-04 lr: 4.6145e-05 eta: 7 days, 21:16:44 time: 2.3402 data_time: 0.1184 memory: 25727 grad_norm: 1.0064 loss: 1.4728 grounding_loss_reg: 3.9595 detection_loss_cls: 0.0965 detection_loss_reg: 0.5441 caption_loss_cls: 2.8855 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2474 instance_segmentation_loss_poly: 0.8045 semantic_segmentation_loss_cls: 0.0153 2023/10/10 01:47:43 - mmengine - INFO - Iter(train) [117300/480000] base_lr: 1.7223e-04 lr: 4.6134e-05 eta: 7 days, 22:15:18 time: 2.3331 data_time: 0.1184 memory: 26568 grad_norm: 1.0018 loss: 1.4625 grounding_loss_reg: 3.9596 detection_loss_cls: 0.0962 detection_loss_reg: 0.5419 caption_loss_cls: 2.8887 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2474 instance_segmentation_loss_poly: 0.8047 semantic_segmentation_loss_cls: 0.0153 2023/10/10 01:50:47 - mmengine - INFO - Iter(train) [117400/480000] base_lr: 1.7219e-04 lr: 4.6122e-05 eta: 7 days, 21:51:37 time: 2.3222 data_time: 0.1185 memory: 26568 grad_norm: 1.0045 loss: 1.4605 grounding_loss_reg: 3.9578 detection_loss_cls: 0.0962 detection_loss_reg: 0.5414 caption_loss_cls: 2.8894 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2473 instance_segmentation_loss_poly: 0.8043 semantic_segmentation_loss_cls: 0.0153 2023/10/10 01:53:56 - mmengine - INFO - Iter(train) [117500/480000] base_lr: 1.7214e-04 lr: 4.6110e-05 eta: 7 days, 21:51:10 time: 2.3126 data_time: 0.1185 memory: 26568 grad_norm: 1.0045 loss: 1.4541 grounding_loss_reg: 3.9574 detection_loss_cls: 0.0960 detection_loss_reg: 0.5405 caption_loss_cls: 2.8857 instance_segmentation_loss_cls: 0.0544 instance_segmentation_loss_reg: 0.2469 instance_segmentation_loss_poly: 0.8027 semantic_segmentation_loss_cls: 0.0153 2023/10/10 01:53:56 - mmengine - INFO - Saving checkpoint at 117500 iterations 2023/10/10 01:58:15 - mmengine - INFO - Iter(train) [117600/480000] base_lr: 1.7209e-04 lr: 4.6099e-05 eta: 8 days, 2:12:08 time: 2.2999 data_time: 0.1182 memory: 26568 grad_norm: 1.0021 loss: 1.4554 grounding_loss_reg: 3.9559 detection_loss_cls: 0.0958 detection_loss_reg: 0.5402 caption_loss_cls: 2.8881 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2476 instance_segmentation_loss_poly: 0.8041 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:01:40 - mmengine - INFO - Iter(train) [117700/480000] base_lr: 1.7205e-04 lr: 4.6087e-05 eta: 8 days, 2:51:40 time: 2.2904 data_time: 0.1182 memory: 26568 grad_norm: 1.0073 loss: 1.4638 grounding_loss_reg: 3.9555 detection_loss_cls: 0.0959 detection_loss_reg: 0.5408 caption_loss_cls: 2.8863 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2477 instance_segmentation_loss_poly: 0.8045 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:05:15 - mmengine - INFO - Iter(train) [117800/480000] base_lr: 1.7200e-04 lr: 4.6075e-05 eta: 8 days, 4:01:34 time: 2.2757 data_time: 0.1181 memory: 26568 grad_norm: 1.0052 loss: 1.4519 grounding_loss_reg: 3.9549 detection_loss_cls: 0.0959 detection_loss_reg: 0.5400 caption_loss_cls: 2.8844 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2478 instance_segmentation_loss_poly: 0.8052 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:08:58 - mmengine - INFO - Iter(train) [117900/480000] base_lr: 1.7196e-04 lr: 4.6064e-05 eta: 8 days, 5:26:04 time: 2.2773 data_time: 0.1182 memory: 26568 grad_norm: 1.0016 loss: 1.4469 grounding_loss_reg: 3.9546 detection_loss_cls: 0.0958 detection_loss_reg: 0.5393 caption_loss_cls: 2.8829 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2485 instance_segmentation_loss_poly: 0.8071 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:12:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_004050 2023/10/10 02:12:17 - mmengine - INFO - Iter(train) [118000/480000] base_lr: 1.7191e-04 lr: 4.6052e-05 eta: 8 days, 5:32:03 time: 2.2751 data_time: 0.1182 memory: 26568 grad_norm: 0.9985 loss: 1.4465 grounding_loss_reg: 3.9550 detection_loss_cls: 0.0958 detection_loss_reg: 0.5387 caption_loss_cls: 2.8858 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2489 instance_segmentation_loss_poly: 0.8083 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:12:17 - mmengine - INFO - Saving checkpoint at 118000 iterations 2023/10/10 02:16:50 - mmengine - INFO - Iter(train) [118100/480000] base_lr: 1.7187e-04 lr: 4.6040e-05 eta: 8 days, 9:07:56 time: 2.2632 data_time: 0.1187 memory: 26568 grad_norm: 1.0006 loss: 1.4531 grounding_loss_reg: 3.9546 detection_loss_cls: 0.0957 detection_loss_reg: 0.5392 caption_loss_cls: 2.8814 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2508 instance_segmentation_loss_poly: 0.8115 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:20:23 - mmengine - INFO - Iter(train) [118200/480000] base_lr: 1.7182e-04 lr: 4.6028e-05 eta: 8 days, 9:39:15 time: 2.2530 data_time: 0.1187 memory: 26568 grad_norm: 0.9998 loss: 1.4495 grounding_loss_reg: 3.9527 detection_loss_cls: 0.0957 detection_loss_reg: 0.5392 caption_loss_cls: 2.8823 instance_segmentation_loss_cls: 0.0549 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8129 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:24:07 - mmengine - INFO - Iter(train) [118300/480000] base_lr: 1.7178e-04 lr: 4.6017e-05 eta: 8 days, 10:38:32 time: 2.2456 data_time: 0.1186 memory: 25727 grad_norm: 1.0024 loss: 1.4500 grounding_loss_reg: 3.9533 detection_loss_cls: 0.0959 detection_loss_reg: 0.5402 caption_loss_cls: 2.8763 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:27:35 - mmengine - INFO - Iter(train) [118400/480000] base_lr: 1.7173e-04 lr: 4.6005e-05 eta: 8 days, 10:51:12 time: 2.2364 data_time: 0.1186 memory: 25727 grad_norm: 1.0063 loss: 1.4475 grounding_loss_reg: 3.9530 detection_loss_cls: 0.0959 detection_loss_reg: 0.5401 caption_loss_cls: 2.8732 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2508 instance_segmentation_loss_poly: 0.8107 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:31:25 - mmengine - INFO - Iter(train) [118500/480000] base_lr: 1.7169e-04 lr: 4.5993e-05 eta: 8 days, 11:54:34 time: 2.2239 data_time: 0.1185 memory: 25727 grad_norm: 1.0076 loss: 1.4489 grounding_loss_reg: 3.9530 detection_loss_cls: 0.0961 detection_loss_reg: 0.5408 caption_loss_cls: 2.8700 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2499 instance_segmentation_loss_poly: 0.8096 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:31:25 - mmengine - INFO - Saving checkpoint at 118500 iterations 2023/10/10 02:36:11 - mmengine - INFO - Iter(train) [118600/480000] base_lr: 1.7164e-04 lr: 4.5981e-05 eta: 8 days, 15:03:12 time: 2.2158 data_time: 0.1189 memory: 26568 grad_norm: 1.0144 loss: 1.4552 grounding_loss_reg: 3.9536 detection_loss_cls: 0.0961 detection_loss_reg: 0.5418 caption_loss_cls: 2.8691 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2505 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:40:23 - mmengine - INFO - Iter(train) [118700/480000] base_lr: 1.7160e-04 lr: 4.5970e-05 eta: 8 days, 16:42:30 time: 2.2197 data_time: 0.1189 memory: 26568 grad_norm: 1.0125 loss: 1.4581 grounding_loss_reg: 3.9523 detection_loss_cls: 0.0958 detection_loss_reg: 0.5394 caption_loss_cls: 2.8720 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8101 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:43:59 - mmengine - INFO - Iter(train) [118800/480000] base_lr: 1.7155e-04 lr: 4.5958e-05 eta: 8 days, 16:55:07 time: 2.2104 data_time: 0.1189 memory: 26568 grad_norm: 1.0210 loss: 1.4621 grounding_loss_reg: 3.9499 detection_loss_cls: 0.0959 detection_loss_reg: 0.5398 caption_loss_cls: 2.8704 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2502 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:47:53 - mmengine - INFO - Iter(train) [118900/480000] base_lr: 1.7151e-04 lr: 4.5946e-05 eta: 8 days, 17:46:14 time: 2.2038 data_time: 0.1189 memory: 26568 grad_norm: 1.0209 loss: 1.4584 grounding_loss_reg: 3.9485 detection_loss_cls: 0.0964 detection_loss_reg: 0.5407 caption_loss_cls: 2.8695 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2501 instance_segmentation_loss_poly: 0.8093 semantic_segmentation_loss_cls: 0.0154 2023/10/10 02:52:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_004050 2023/10/10 02:52:04 - mmengine - INFO - Iter(train) [119000/480000] base_lr: 1.7146e-04 lr: 4.5934e-05 eta: 8 days, 19:05:41 time: 2.2120 data_time: 0.1189 memory: 26568 grad_norm: 1.0195 loss: 1.4561 grounding_loss_reg: 3.9469 detection_loss_cls: 0.0963 detection_loss_reg: 0.5403 caption_loss_cls: 2.8694 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2497 instance_segmentation_loss_poly: 0.8078 semantic_segmentation_loss_cls: 0.0153 2023/10/10 02:52:04 - mmengine - INFO - Saving checkpoint at 119000 iterations 2023/10/10 02:57:23 - mmengine - INFO - Iter(train) [119100/480000] base_lr: 1.7142e-04 lr: 4.5922e-05 eta: 8 days, 22:32:13 time: 2.2168 data_time: 0.1194 memory: 26568 grad_norm: 1.0259 loss: 1.4549 grounding_loss_reg: 3.9432 detection_loss_cls: 0.0964 detection_loss_reg: 0.5413 caption_loss_cls: 2.8648 instance_segmentation_loss_cls: 0.0544 instance_segmentation_loss_reg: 0.2487 instance_segmentation_loss_poly: 0.8059 semantic_segmentation_loss_cls: 0.0153 2023/10/10 03:01:06 - mmengine - INFO - Iter(train) [119200/480000] base_lr: 1.7137e-04 lr: 4.5911e-05 eta: 8 days, 22:47:09 time: 2.2039 data_time: 0.1195 memory: 26568 grad_norm: 1.0317 loss: 1.4679 grounding_loss_reg: 3.9416 detection_loss_cls: 0.0965 detection_loss_reg: 0.5422 caption_loss_cls: 2.8670 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2496 instance_segmentation_loss_poly: 0.8071 semantic_segmentation_loss_cls: 0.0153 2023/10/10 03:05:32 - mmengine - INFO - Iter(train) [119300/480000] base_lr: 1.7132e-04 lr: 4.5899e-05 eta: 9 days, 0:16:15 time: 2.2069 data_time: 0.1195 memory: 26568 grad_norm: 1.0302 loss: 1.4678 grounding_loss_reg: 3.9409 detection_loss_cls: 0.0967 detection_loss_reg: 0.5426 caption_loss_cls: 2.8679 instance_segmentation_loss_cls: 0.0544 instance_segmentation_loss_reg: 0.2494 instance_segmentation_loss_poly: 0.8065 semantic_segmentation_loss_cls: 0.0153 2023/10/10 03:09:24 - mmengine - INFO - Iter(train) [119400/480000] base_lr: 1.7128e-04 lr: 4.5887e-05 eta: 9 days, 0:41:59 time: 2.2091 data_time: 0.1194 memory: 26568 grad_norm: 1.0281 loss: 1.4637 grounding_loss_reg: 3.9411 detection_loss_cls: 0.0965 detection_loss_reg: 0.5420 caption_loss_cls: 2.8670 instance_segmentation_loss_cls: 0.0543 instance_segmentation_loss_reg: 0.2487 instance_segmentation_loss_poly: 0.8051 semantic_segmentation_loss_cls: 0.0153 2023/10/10 03:13:34 - mmengine - INFO - Iter(train) [119500/480000] base_lr: 1.7123e-04 lr: 4.5875e-05 eta: 9 days, 1:35:55 time: 2.2039 data_time: 0.1195 memory: 26568 grad_norm: 1.0326 loss: 1.4715 grounding_loss_reg: 3.9399 detection_loss_cls: 0.0964 detection_loss_reg: 0.5415 caption_loss_cls: 2.8684 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2506 instance_segmentation_loss_poly: 0.8082 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:13:34 - mmengine - INFO - Saving checkpoint at 119500 iterations 2023/10/10 03:18:18 - mmengine - INFO - Iter(train) [119600/480000] base_lr: 1.7119e-04 lr: 4.5863e-05 eta: 9 days, 3:23:40 time: 2.2007 data_time: 0.1194 memory: 26568 grad_norm: 1.0322 loss: 1.4661 grounding_loss_reg: 3.9383 detection_loss_cls: 0.0964 detection_loss_reg: 0.5412 caption_loss_cls: 2.8672 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2510 instance_segmentation_loss_poly: 0.8086 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:22:44 - mmengine - INFO - Iter(train) [119700/480000] base_lr: 1.7114e-04 lr: 4.5851e-05 eta: 9 days, 4:36:01 time: 2.2071 data_time: 0.1194 memory: 26568 grad_norm: 1.0292 loss: 1.4638 grounding_loss_reg: 3.9386 detection_loss_cls: 0.0964 detection_loss_reg: 0.5412 caption_loss_cls: 2.8656 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8107 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:27:11 - mmengine - INFO - Iter(train) [119800/480000] base_lr: 1.7110e-04 lr: 4.5840e-05 eta: 9 days, 5:45:04 time: 2.2140 data_time: 0.1194 memory: 26568 grad_norm: 1.0307 loss: 1.4613 grounding_loss_reg: 3.9385 detection_loss_cls: 0.0959 detection_loss_reg: 0.5396 caption_loss_cls: 2.8625 instance_segmentation_loss_cls: 0.0549 instance_segmentation_loss_reg: 0.2522 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:31:01 - mmengine - INFO - Iter(train) [119900/480000] base_lr: 1.7105e-04 lr: 4.5828e-05 eta: 9 days, 5:54:31 time: 2.2133 data_time: 0.1194 memory: 26568 grad_norm: 1.0302 loss: 1.4598 grounding_loss_reg: 3.9363 detection_loss_cls: 0.0961 detection_loss_reg: 0.5402 caption_loss_cls: 2.8605 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2518 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:35:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_004050 2023/10/10 03:35:22 - mmengine - INFO - Iter(train) [120000/480000] base_lr: 1.7100e-04 lr: 4.5816e-05 eta: 9 days, 6:49:55 time: 2.2283 data_time: 0.1194 memory: 26568 grad_norm: 1.0244 loss: 1.4498 grounding_loss_reg: 3.9356 detection_loss_cls: 0.0959 detection_loss_reg: 0.5396 caption_loss_cls: 2.8543 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2517 instance_segmentation_loss_poly: 0.8096 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:35:22 - mmengine - INFO - Saving checkpoint at 120000 iterations 2023/10/10 03:41:05 - mmengine - INFO - Evaluating bbox... 2023/10/10 03:42:10 - mmengine - INFO - bbox_mAP_copypaste: 0.331 0.464 0.365 0.185 0.382 0.436 2023/10/10 03:42:10 - mmengine - INFO - Evaluating segm... 2023/10/10 03:43:27 - mmengine - INFO - segm_mAP_copypaste: 0.203 0.388 0.198 0.083 0.245 0.321 2023/10/10 03:44:52 - mmengine - INFO - Evaluating bbox... 2023/10/10 03:46:01 - mmengine - INFO - bbox_mAP_copypaste: 0.350 0.491 0.385 0.195 0.398 0.469 2023/10/10 03:49:22 - mmengine - INFO - per class results: 2023/10/10 03:49:22 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 71.41 | 88.71 | | building | 77.88 | 93.35 | | sky | 91.88 | 96.47 | | floor | 71.05 | 94.48 | | tree | 69.72 | 86.9 | | ceiling | 79.93 | 87.85 | | road | 77.61 | 90.29 | | bed | 79.2 | 90.76 | | windowpane | 54.27 | 65.79 | | grass | 59.9 | 80.99 | | cabinet | 53.14 | 77.17 | | sidewalk | 55.34 | 63.82 | | person | 76.41 | 83.74 | | earth | 32.94 | 44.1 | | door | 39.05 | 56.63 | | table | 41.85 | 57.3 | | mountain | 46.37 | 51.42 | | plant | 45.9 | 57.86 | | curtain | 66.34 | 80.75 | | chair | 45.86 | 70.37 | | car | 75.73 | 86.43 | | water | 30.64 | 37.29 | | painting | 64.14 | 77.57 | | sofa | 62.48 | 82.36 | | shelf | 34.08 | 50.51 | | house | 24.44 | 28.51 | | sea | 50.26 | 63.02 | | mirror | 50.18 | 54.0 | | rug | 21.45 | 21.79 | | field | 22.71 | 38.55 | | armchair | 26.07 | 30.07 | | seat | 51.34 | 81.15 | | fence | 34.51 | 68.04 | | desk | 20.11 | 22.63 | | rock | 40.97 | 50.52 | | wardrobe | 18.95 | 19.62 | | lamp | 48.73 | 66.64 | | bathtub | 65.46 | 71.0 | | railing | 24.03 | 35.35 | | cushion | 42.98 | 50.59 | | base | 10.66 | 13.3 | | box | 21.37 | 28.19 | | column | 35.1 | 53.91 | | signboard | 21.78 | 23.42 | | chest of drawers | 3.88 | 3.88 | | counter | 12.41 | 28.38 | | sand | 36.94 | 53.76 | | sink | 55.47 | 64.42 | | skyscraper | 29.5 | 31.98 | | fireplace | 57.15 | 61.63 | | refrigerator | 65.06 | 72.49 | | grandstand | 32.48 | 45.52 | | path | 19.68 | 26.45 | | stairs | 30.08 | 40.84 | | runway | 53.42 | 56.51 | | case | 38.64 | 59.27 | | pool table | 87.5 | 90.02 | | pillow | 0.0 | 0.0 | | screen door | 0.0 | 0.0 | | stairway | 24.81 | 27.2 | | river | 13.67 | 66.64 | | bridge | 48.89 | 86.71 | | bookcase | 17.16 | 20.25 | | blind | 16.82 | 17.73 | | coffee table | 13.32 | 13.83 | | toilet | 76.23 | 85.86 | | flower | 26.86 | 44.02 | | book | 41.65 | 61.52 | | hill | 5.01 | 9.61 | | bench | 36.06 | 46.97 | | countertop | 0.01 | 0.01 | | stove | 54.42 | 79.37 | | palm | 24.32 | 25.24 | | kitchen island | 8.86 | 9.72 | | computer | 59.81 | 75.94 | | swivel chair | 0.0 | 0.0 | | boat | 67.84 | 89.08 | | bar | 3.48 | 3.57 | | arcade machine | 5.62 | 5.74 | | hovel | 0.0 | 0.0 | | bus | 88.32 | 93.67 | | towel | 45.65 | 59.07 | | light | 20.48 | 24.37 | | truck | 24.73 | 72.21 | | tower | 1.13 | 1.15 | | chandelier | 35.55 | 38.06 | | awning | 0.0 | 0.0 | | streetlight | 1.63 | 1.64 | | booth | 0.0 | 0.0 | | television receiver | 35.8 | 37.09 | | airplane | 55.71 | 62.95 | | dirt track | 0.0 | 0.0 | | apparel | 28.8 | 41.78 | | pole | 19.09 | 32.62 | | land | 0.0 | 0.0 | | bannister | 0.0 | 0.0 | | escalator | 0.12 | 0.12 | | ottoman | 2.73 | 2.75 | | bottle | 15.47 | 17.71 | | buffet | 7.51 | 7.53 | | poster | 4.17 | 4.42 | | stage | 1.68 | 1.74 | | van | 0.0 | 0.0 | | ship | 9.95 | 11.72 | | fountain | 19.66 | 20.11 | | conveyer belt | 3.89 | 3.92 | | canopy | 23.34 | 48.46 | | washer | 58.17 | 58.33 | | plaything | 11.0 | 11.29 | | swimming pool | 12.9 | 22.5 | | stool | 13.84 | 14.8 | | barrel | 41.77 | 51.97 | | basket | 19.52 | 35.26 | | waterfall | 49.44 | 88.92 | | tent | 85.26 | 97.37 | | bag | 5.78 | 5.87 | | minibike | 65.7 | 83.23 | | cradle | 63.35 | 81.14 | | oven | 2.04 | 2.35 | | ball | 16.95 | 17.29 | | food | 5.33 | 5.41 | | step | 0.19 | 0.22 | | tank | 1.13 | 1.18 | | trade name | 0.0 | 0.0 | | microwave | 68.7 | 94.16 | | pot | 39.32 | 44.02 | | animal | 51.7 | 55.59 | | bicycle | 52.02 | 84.33 | | lake | 0.0 | 0.0 | | dishwasher | 17.47 | 18.1 | | screen | 43.22 | 50.33 | | blanket | 1.08 | 1.18 | | sculpture | 33.7 | 35.48 | | hood | 19.33 | 19.78 | | sconce | 0.0 | 0.0 | | vase | 30.94 | 38.05 | | traffic light | 16.55 | 18.48 | | tray | 1.44 | 2.62 | | ashcan | 28.65 | 43.49 | | fan | 34.35 | 37.48 | | pier | 9.85 | 10.25 | | crt screen | 0.0 | 0.0 | | plate | 22.98 | 24.94 | | monitor | 0.87 | 0.89 | | bulletin board | 0.0 | 0.0 | | shower | 0.87 | 4.48 | | radiator | 2.3 | 2.3 | | glass | 4.46 | 4.5 | | clock | 11.9 | 12.04 | | flag | 36.59 | 37.87 | +---------------------+-------+-------+ 2023/10/10 03:49:48 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.3500 coco/bbox_mAP_50: 0.4910 coco/bbox_mAP_75: 0.3850 coco/bbox_mAP_s: 0.1950 coco/bbox_mAP_m: 0.3980 coco/bbox_mAP_l: 0.4690 coco/segm_mAP: 0.2030 coco/segm_mAP_50: 0.3880 coco/segm_mAP_75: 0.1980 coco/segm_mAP_s: 0.0830 coco/segm_mAP_m: 0.2450 coco/segm_mAP_l: 0.3210 Bleu_1: 0.6015 Bleu_2: 0.4374 Bleu_3: 0.3143 Bleu_4: 0.2255 METEOR: 0.2102 ROUGE_L: 0.4688 CIDEr: 0.7308 SPICE: 0.1485 aAcc: 77.2800 mIoU: 30.8500 mAcc: 39.1900 visual-grounding/miou: 0.6334 visual-grounding/acc: 0.7297 data_time: 0.0016 time: 0.2535 2023/10/10 03:53:34 - mmengine - INFO - Iter(train) [120100/480000] base_lr: 1.7096e-04 lr: 4.5804e-05 eta: 9 days, 6:56:02 time: 2.2450 data_time: 0.1204 memory: 27846 grad_norm: 1.0213 loss: 1.4402 grounding_loss_reg: 3.9331 detection_loss_cls: 0.0959 detection_loss_reg: 0.5389 caption_loss_cls: 2.8529 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8093 semantic_segmentation_loss_cls: 0.0154 2023/10/10 03:57:58 - mmengine - INFO - Iter(train) [120200/480000] base_lr: 1.7091e-04 lr: 4.5792e-05 eta: 9 days, 7:50:48 time: 2.2709 data_time: 0.1205 memory: 26566 grad_norm: 1.0202 loss: 1.4315 grounding_loss_reg: 3.9303 detection_loss_cls: 0.0958 detection_loss_reg: 0.5380 caption_loss_cls: 2.8497 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.2514 instance_segmentation_loss_poly: 0.8091 semantic_segmentation_loss_cls: 0.0154 2023/10/10 04:01:39 - mmengine - INFO - Iter(train) [120300/480000] base_lr: 1.7087e-04 lr: 4.5780e-05 eta: 9 days, 7:43:13 time: 2.2849 data_time: 0.1204 memory: 25727 grad_norm: 1.0195 loss: 1.4340 grounding_loss_reg: 3.9296 detection_loss_cls: 0.0958 detection_loss_reg: 0.5371 caption_loss_cls: 2.8524 instance_segmentation_loss_cls: 0.0547 instance_segmentation_loss_reg: 0.2510 instance_segmentation_loss_poly: 0.8083 semantic_segmentation_loss_cls: 0.0154 2023/10/10 04:05:28 - mmengine - INFO - Iter(train) [120400/480000] base_lr: 1.7082e-04 lr: 4.5768e-05 eta: 9 days, 7:47:06 time: 2.2997 data_time: 0.1205 memory: 26566 grad_norm: 1.0203 loss: 1.4405 grounding_loss_reg: 3.9286 detection_loss_cls: 0.0962 detection_loss_reg: 0.5396 caption_loss_cls: 2.8560 instance_segmentation_loss_cls: 0.0549 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.8098 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:09:18 - mmengine - INFO - Iter(train) [120500/480000] base_lr: 1.7077e-04 lr: 4.5756e-05 eta: 9 days, 7:51:02 time: 2.3105 data_time: 0.1205 memory: 26566 grad_norm: 1.0218 loss: 1.4386 grounding_loss_reg: 3.9269 detection_loss_cls: 0.0960 detection_loss_reg: 0.5383 caption_loss_cls: 2.8584 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2508 instance_segmentation_loss_poly: 0.8071 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:09:18 - mmengine - INFO - Saving checkpoint at 120500 iterations 2023/10/10 04:14:26 - mmengine - INFO - Iter(train) [120600/480000] base_lr: 1.7073e-04 lr: 4.5744e-05 eta: 9 days, 9:36:41 time: 2.3306 data_time: 0.1223 memory: 26566 grad_norm: 1.0194 loss: 1.4344 grounding_loss_reg: 3.9263 detection_loss_cls: 0.0958 detection_loss_reg: 0.5372 caption_loss_cls: 2.8575 instance_segmentation_loss_cls: 0.0544 instance_segmentation_loss_reg: 0.2507 instance_segmentation_loss_poly: 0.8076 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:18:31 - mmengine - INFO - Iter(train) [120700/480000] base_lr: 1.7068e-04 lr: 4.5733e-05 eta: 9 days, 9:56:37 time: 2.3465 data_time: 0.1224 memory: 26566 grad_norm: 1.0182 loss: 1.4349 grounding_loss_reg: 3.9263 detection_loss_cls: 0.0959 detection_loss_reg: 0.5379 caption_loss_cls: 2.8547 instance_segmentation_loss_cls: 0.0543 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8070 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:22:56 - mmengine - INFO - Iter(train) [120800/480000] base_lr: 1.7064e-04 lr: 4.5721e-05 eta: 9 days, 10:41:10 time: 2.3645 data_time: 0.1225 memory: 26566 grad_norm: 1.0207 loss: 1.4266 grounding_loss_reg: 3.9233 detection_loss_cls: 0.0959 detection_loss_reg: 0.5380 caption_loss_cls: 2.8521 instance_segmentation_loss_cls: 0.0543 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8051 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:26:33 - mmengine - INFO - Iter(train) [120900/480000] base_lr: 1.7059e-04 lr: 4.5709e-05 eta: 9 days, 10:24:29 time: 2.3706 data_time: 0.1225 memory: 26566 grad_norm: 1.0216 loss: 1.4289 grounding_loss_reg: 3.9221 detection_loss_cls: 0.0959 detection_loss_reg: 0.5372 caption_loss_cls: 2.8511 instance_segmentation_loss_cls: 0.0544 instance_segmentation_loss_reg: 0.2505 instance_segmentation_loss_poly: 0.8066 semantic_segmentation_loss_cls: 0.0154 2023/10/10 04:30:02 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_004050 2023/10/10 04:30:02 - mmengine - INFO - Iter(train) [121000/480000] base_lr: 1.7054e-04 lr: 4.5697e-05 eta: 9 days, 9:59:14 time: 2.3765 data_time: 0.1224 memory: 25727 grad_norm: 1.0212 loss: 1.4278 grounding_loss_reg: 3.9209 detection_loss_cls: 0.0959 detection_loss_reg: 0.5369 caption_loss_cls: 2.8516 instance_segmentation_loss_cls: 0.0543 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8065 semantic_segmentation_loss_cls: 0.0154 2023/10/10 04:30:02 - mmengine - INFO - Saving checkpoint at 121000 iterations 2023/10/10 04:35:29 - mmengine - INFO - Iter(train) [121100/480000] base_lr: 1.7050e-04 lr: 4.5685e-05 eta: 9 days, 11:53:18 time: 2.3941 data_time: 0.1232 memory: 26566 grad_norm: 1.0196 loss: 1.4208 grounding_loss_reg: 3.9190 detection_loss_cls: 0.0958 detection_loss_reg: 0.5356 caption_loss_cls: 2.8513 instance_segmentation_loss_cls: 0.0543 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8059 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:39:40 - mmengine - INFO - Iter(train) [121200/480000] base_lr: 1.7045e-04 lr: 4.5673e-05 eta: 9 days, 12:15:45 time: 2.4139 data_time: 0.1233 memory: 26566 grad_norm: 1.0204 loss: 1.4159 grounding_loss_reg: 3.9171 detection_loss_cls: 0.0954 detection_loss_reg: 0.5337 caption_loss_cls: 2.8514 instance_segmentation_loss_cls: 0.0544 instance_segmentation_loss_reg: 0.2505 instance_segmentation_loss_poly: 0.8068 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:43:56 - mmengine - INFO - Iter(train) [121300/480000] base_lr: 1.7041e-04 lr: 4.5661e-05 eta: 9 days, 12:42:24 time: 2.4276 data_time: 0.1233 memory: 26566 grad_norm: 1.0211 loss: 1.4167 grounding_loss_reg: 3.9158 detection_loss_cls: 0.0956 detection_loss_reg: 0.5334 caption_loss_cls: 2.8510 instance_segmentation_loss_cls: 0.0546 instance_segmentation_loss_reg: 0.2511 instance_segmentation_loss_poly: 0.8081 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:47:58 - mmengine - INFO - Iter(train) [121400/480000] base_lr: 1.7036e-04 lr: 4.5649e-05 eta: 9 days, 12:51:55 time: 2.4420 data_time: 0.1233 memory: 26566 grad_norm: 1.0195 loss: 1.4182 grounding_loss_reg: 3.9152 detection_loss_cls: 0.0958 detection_loss_reg: 0.5349 caption_loss_cls: 2.8513 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2510 instance_segmentation_loss_poly: 0.8074 semantic_segmentation_loss_cls: 0.0153 2023/10/10 04:52:22 - mmengine - INFO - Iter(train) [121500/480000] base_lr: 1.7031e-04 lr: 4.5637e-05 eta: 9 days, 13:25:26 time: 2.4607 data_time: 0.1234 memory: 26566 grad_norm: 1.0142 loss: 1.4152 grounding_loss_reg: 3.9142 detection_loss_cls: 0.0956 detection_loss_reg: 0.5342 caption_loss_cls: 2.8480 instance_segmentation_loss_cls: 0.0545 instance_segmentation_loss_reg: 0.2506 instance_segmentation_loss_poly: 0.8055 semantic_segmentation_loss_cls: 0.0152 2023/10/10 04:52:22 - mmengine - INFO - Saving checkpoint at 121500 iterations 2023/10/10 04:57:39 - mmengine - INFO - Iter(train) [121600/480000] base_lr: 1.7027e-04 lr: 4.5625e-05 eta: 9 days, 14:53:22 time: 2.4752 data_time: 0.1238 memory: 26566 grad_norm: 1.0124 loss: 1.4098 grounding_loss_reg: 3.9131 detection_loss_cls: 0.0957 detection_loss_reg: 0.5346 caption_loss_cls: 2.8462 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.2494 instance_segmentation_loss_poly: 0.8027 semantic_segmentation_loss_cls: 0.0152 2023/10/10 05:01:30 - mmengine - INFO - Iter(train) [121700/480000] base_lr: 1.7022e-04 lr: 4.5613e-05 eta: 9 days, 14:48:53 time: 2.4818 data_time: 0.1238 memory: 26566 grad_norm: 1.0109 loss: 1.4033 grounding_loss_reg: 3.9118 detection_loss_cls: 0.0957 detection_loss_reg: 0.5339 caption_loss_cls: 2.8422 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.2499 instance_segmentation_loss_poly: 0.8037 semantic_segmentation_loss_cls: 0.0152 2023/10/10 05:05:35 - mmengine - INFO - Iter(train) [121800/480000] base_lr: 1.7017e-04 lr: 4.5601e-05 eta: 9 days, 14:58:01 time: 2.4891 data_time: 0.1239 memory: 25727 grad_norm: 1.0101 loss: 1.4073 grounding_loss_reg: 3.9114 detection_loss_cls: 0.0955 detection_loss_reg: 0.5332 caption_loss_cls: 2.8417 instance_segmentation_loss_cls: 0.0540 instance_segmentation_loss_reg: 0.2495 instance_segmentation_loss_poly: 0.8030 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:09:51 - mmengine - INFO - Iter(train) [121900/480000] base_lr: 1.7013e-04 lr: 4.5589e-05 eta: 9 days, 15:18:56 time: 2.4976 data_time: 0.1239 memory: 25727 grad_norm: 1.0088 loss: 1.4106 grounding_loss_reg: 3.9129 detection_loss_cls: 0.0957 detection_loss_reg: 0.5339 caption_loss_cls: 2.8398 instance_segmentation_loss_cls: 0.0539 instance_segmentation_loss_reg: 0.2498 instance_segmentation_loss_poly: 0.8043 semantic_segmentation_loss_cls: 0.0152 2023/10/10 05:13:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_004050 2023/10/10 05:13:32 - mmengine - INFO - Iter(train) [122000/480000] base_lr: 1.7008e-04 lr: 4.5577e-05 eta: 9 days, 15:03:40 time: 2.5031 data_time: 0.1239 memory: 26566 grad_norm: 1.0099 loss: 1.4055 grounding_loss_reg: 3.9123 detection_loss_cls: 0.0955 detection_loss_reg: 0.5327 caption_loss_cls: 2.8368 instance_segmentation_loss_cls: 0.0540 instance_segmentation_loss_reg: 0.2501 instance_segmentation_loss_poly: 0.8048 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:13:32 - mmengine - INFO - Saving checkpoint at 122000 iterations 2023/10/10 05:18:31 - mmengine - INFO - Iter(train) [122100/480000] base_lr: 1.7004e-04 lr: 4.5565e-05 eta: 9 days, 16:04:03 time: 2.5094 data_time: 0.1246 memory: 26566 grad_norm: 1.0063 loss: 1.3969 grounding_loss_reg: 3.9128 detection_loss_cls: 0.0957 detection_loss_reg: 0.5337 caption_loss_cls: 2.8351 instance_segmentation_loss_cls: 0.0540 instance_segmentation_loss_reg: 0.2499 instance_segmentation_loss_poly: 0.8044 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:22:53 - mmengine - INFO - Iter(train) [122200/480000] base_lr: 1.6999e-04 lr: 4.5553e-05 eta: 9 days, 16:27:52 time: 2.5218 data_time: 0.1246 memory: 26566 grad_norm: 1.0014 loss: 1.3962 grounding_loss_reg: 3.9118 detection_loss_cls: 0.0957 detection_loss_reg: 0.5333 caption_loss_cls: 2.8354 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.2505 instance_segmentation_loss_poly: 0.8062 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:26:55 - mmengine - INFO - Iter(train) [122300/480000] base_lr: 1.6994e-04 lr: 4.5541e-05 eta: 9 days, 16:31:56 time: 2.5262 data_time: 0.1247 memory: 26566 grad_norm: 1.0017 loss: 1.4054 grounding_loss_reg: 3.9116 detection_loss_cls: 0.0956 detection_loss_reg: 0.5347 caption_loss_cls: 2.8404 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.2503 instance_segmentation_loss_poly: 0.8057 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:30:35 - mmengine - INFO - Iter(train) [122400/480000] base_lr: 1.6990e-04 lr: 4.5529e-05 eta: 9 days, 16:14:46 time: 2.5291 data_time: 0.1247 memory: 26566 grad_norm: 1.0004 loss: 1.4019 grounding_loss_reg: 3.9107 detection_loss_cls: 0.0955 detection_loss_reg: 0.5333 caption_loss_cls: 2.8415 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.2500 instance_segmentation_loss_poly: 0.8049 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:34:57 - mmengine - INFO - Iter(train) [122500/480000] base_lr: 1.6985e-04 lr: 4.5516e-05 eta: 9 days, 16:36:24 time: 2.5371 data_time: 0.1247 memory: 25727 grad_norm: 0.9978 loss: 1.3983 grounding_loss_reg: 3.9099 detection_loss_cls: 0.0954 detection_loss_reg: 0.5330 caption_loss_cls: 2.8351 instance_segmentation_loss_cls: 0.0540 instance_segmentation_loss_reg: 0.2496 instance_segmentation_loss_poly: 0.8038 semantic_segmentation_loss_cls: 0.0153 2023/10/10 05:34:57 - mmengine - INFO - Saving checkpoint at 122500 iterations 2023/10/10 05:39:50 - mmengine - INFO - Iter(train) [122600/480000] base_lr: 1.6980e-04 lr: 4.5504e-05 eta: 9 days, 17:25:35 time: 2.5389 data_time: 0.1255 memory: 26566 grad_norm: 0.9995 loss: 1.3996 grounding_loss_reg: 3.9076 detection_loss_cls: 0.0957 detection_loss_reg: 0.5338 caption_loss_cls: 2.8362 instance_segmentation_loss_cls: 0.0540 instance_segmentation_loss_reg: 0.2499 instance_segmentation_loss_poly: 0.8050 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:00:03 - mmengine - INFO - Iter(train) [122700/480000] base_lr: 1.6976e-04 lr: 4.5492e-05 eta: 6 days, 3:29:32 time: 2.4769 data_time: 0.1092 memory: 26634 grad_norm: 1.0017 loss: 1.3932 grounding_loss_reg: 3.9073 detection_loss_cls: 0.0952 detection_loss_reg: 0.5316 caption_loss_cls: 2.8327 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.2504 instance_segmentation_loss_poly: 0.8057 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:02:36 - mmengine - INFO - Iter(train) [122800/480000] base_lr: 1.6971e-04 lr: 4.5480e-05 eta: 6 days, 4:52:00 time: 2.4612 data_time: 0.1093 memory: 26634 grad_norm: 0.9968 loss: 1.3912 grounding_loss_reg: 3.9068 detection_loss_cls: 0.0953 detection_loss_reg: 0.5317 caption_loss_cls: 2.8288 instance_segmentation_loss_cls: 0.0539 instance_segmentation_loss_reg: 0.2493 instance_segmentation_loss_poly: 0.8039 semantic_segmentation_loss_cls: 0.0153 2023/10/10 07:05:13 - mmengine - INFO - Iter(train) [122900/480000] base_lr: 1.6966e-04 lr: 4.5468e-05 eta: 6 days, 6:41:28 time: 2.4420 data_time: 0.1093 memory: 26634 grad_norm: 1.0001 loss: 1.3956 grounding_loss_reg: 3.9057 detection_loss_cls: 0.0956 detection_loss_reg: 0.5333 caption_loss_cls: 2.8264 instance_segmentation_loss_cls: 0.0538 instance_segmentation_loss_reg: 0.2489 instance_segmentation_loss_poly: 0.8018 semantic_segmentation_loss_cls: 0.0153 2023/10/10 07:08:02 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 07:08:02 - mmengine - INFO - Iter(train) [123000/480000] base_lr: 1.6962e-04 lr: 4.5456e-05 eta: 6 days, 9:55:55 time: 2.4215 data_time: 0.1094 memory: 26634 grad_norm: 1.0001 loss: 1.3904 grounding_loss_reg: 3.9048 detection_loss_cls: 0.0956 detection_loss_reg: 0.5333 caption_loss_cls: 2.8225 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_reg: 0.2489 instance_segmentation_loss_poly: 0.8019 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:08:02 - mmengine - INFO - Saving checkpoint at 123000 iterations 2023/10/10 07:11:37 - mmengine - INFO - Iter(train) [123100/480000] base_lr: 1.6957e-04 lr: 4.5444e-05 eta: 6 days, 19:51:38 time: 2.3957 data_time: 0.1090 memory: 26634 grad_norm: 0.9974 loss: 1.3915 grounding_loss_reg: 3.9041 detection_loss_cls: 0.0958 detection_loss_reg: 0.5336 caption_loss_cls: 2.8197 instance_segmentation_loss_cls: 0.0537 instance_segmentation_loss_reg: 0.2491 instance_segmentation_loss_poly: 0.8023 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:14:20 - mmengine - INFO - Iter(train) [123200/480000] base_lr: 1.6952e-04 lr: 4.5432e-05 eta: 6 days, 19:27:11 time: 2.3804 data_time: 0.1090 memory: 26634 grad_norm: 0.9933 loss: 1.3849 grounding_loss_reg: 3.9018 detection_loss_cls: 0.0962 detection_loss_reg: 0.5358 caption_loss_cls: 2.8170 instance_segmentation_loss_cls: 0.0537 instance_segmentation_loss_reg: 0.2492 instance_segmentation_loss_poly: 0.8024 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:17:15 - mmengine - INFO - Iter(train) [123300/480000] base_lr: 1.6948e-04 lr: 4.5420e-05 eta: 6 days, 20:37:34 time: 2.3578 data_time: 0.1089 memory: 26634 grad_norm: 0.9928 loss: 1.3831 grounding_loss_reg: 3.9014 detection_loss_cls: 0.0962 detection_loss_reg: 0.5346 caption_loss_cls: 2.8204 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_reg: 0.2486 instance_segmentation_loss_poly: 0.8013 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:20:11 - mmengine - INFO - Iter(train) [123400/480000] base_lr: 1.6943e-04 lr: 4.5408e-05 eta: 6 days, 21:39:24 time: 2.3437 data_time: 0.1090 memory: 26634 grad_norm: 0.9936 loss: 1.3842 grounding_loss_reg: 3.9021 detection_loss_cls: 0.0965 detection_loss_reg: 0.5357 caption_loss_cls: 2.8204 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_reg: 0.2486 instance_segmentation_loss_poly: 0.8014 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:23:01 - mmengine - INFO - Iter(train) [123500/480000] base_lr: 1.6938e-04 lr: 4.5395e-05 eta: 6 days, 21:50:45 time: 2.3236 data_time: 0.1090 memory: 26634 grad_norm: 0.9971 loss: 1.3854 grounding_loss_reg: 3.9004 detection_loss_cls: 0.0961 detection_loss_reg: 0.5338 caption_loss_cls: 2.8167 instance_segmentation_loss_cls: 0.0537 instance_segmentation_loss_reg: 0.2489 instance_segmentation_loss_poly: 0.8024 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:23:01 - mmengine - INFO - Saving checkpoint at 123500 iterations 2023/10/10 07:27:00 - mmengine - INFO - Iter(train) [123600/480000] base_lr: 1.6934e-04 lr: 4.5383e-05 eta: 7 days, 4:17:09 time: 2.3125 data_time: 0.1095 memory: 26634 grad_norm: 0.9923 loss: 1.3785 grounding_loss_reg: 3.9005 detection_loss_cls: 0.0958 detection_loss_reg: 0.5321 caption_loss_cls: 2.8152 instance_segmentation_loss_cls: 0.0537 instance_segmentation_loss_reg: 0.2490 instance_segmentation_loss_poly: 0.8032 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:29:36 - mmengine - INFO - Iter(train) [123700/480000] base_lr: 1.6929e-04 lr: 4.5371e-05 eta: 7 days, 2:45:55 time: 2.2851 data_time: 0.1095 memory: 25793 grad_norm: 0.9969 loss: 1.3829 grounding_loss_reg: 3.9006 detection_loss_cls: 0.0957 detection_loss_reg: 0.5319 caption_loss_cls: 2.8156 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_reg: 0.2479 instance_segmentation_loss_poly: 0.8016 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:32:39 - mmengine - INFO - Iter(train) [123800/480000] base_lr: 1.6924e-04 lr: 4.5359e-05 eta: 7 days, 3:30:18 time: 2.2642 data_time: 0.1095 memory: 26634 grad_norm: 0.9949 loss: 1.3830 grounding_loss_reg: 3.8991 detection_loss_cls: 0.0955 detection_loss_reg: 0.5316 caption_loss_cls: 2.8183 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_reg: 0.2479 instance_segmentation_loss_poly: 0.8009 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:35:36 - mmengine - INFO - Iter(train) [123900/480000] base_lr: 1.6919e-04 lr: 4.5347e-05 eta: 7 days, 3:42:54 time: 2.2509 data_time: 0.1096 memory: 26634 grad_norm: 0.9945 loss: 1.3790 grounding_loss_reg: 3.8976 detection_loss_cls: 0.0954 detection_loss_reg: 0.5305 caption_loss_cls: 2.8176 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2471 instance_segmentation_loss_poly: 0.7993 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:38:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 07:38:39 - mmengine - INFO - Iter(train) [124000/480000] base_lr: 1.6915e-04 lr: 4.5335e-05 eta: 7 days, 4:17:41 time: 2.2313 data_time: 0.1096 memory: 26634 grad_norm: 0.9957 loss: 1.3880 grounding_loss_reg: 3.8959 detection_loss_cls: 0.0956 detection_loss_reg: 0.5316 caption_loss_cls: 2.8210 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2468 instance_segmentation_loss_poly: 0.7979 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:38:39 - mmengine - INFO - Saving checkpoint at 124000 iterations 2023/10/10 07:42:35 - mmengine - INFO - Iter(train) [124100/480000] base_lr: 1.6910e-04 lr: 4.5322e-05 eta: 7 days, 8:01:43 time: 2.2328 data_time: 0.1236 memory: 26634 grad_norm: 0.9895 loss: 1.3871 grounding_loss_reg: 3.8950 detection_loss_cls: 0.0957 detection_loss_reg: 0.5322 caption_loss_cls: 2.8218 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2468 instance_segmentation_loss_poly: 0.7985 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:45:49 - mmengine - INFO - Iter(train) [124200/480000] base_lr: 1.6905e-04 lr: 4.5310e-05 eta: 7 days, 8:53:48 time: 2.2153 data_time: 0.1235 memory: 26634 grad_norm: 0.9918 loss: 1.3934 grounding_loss_reg: 3.8915 detection_loss_cls: 0.0958 detection_loss_reg: 0.5320 caption_loss_cls: 2.8220 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2466 instance_segmentation_loss_poly: 0.7980 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:49:03 - mmengine - INFO - Iter(train) [124300/480000] base_lr: 1.6901e-04 lr: 4.5298e-05 eta: 7 days, 9:39:13 time: 2.2084 data_time: 0.1235 memory: 26634 grad_norm: 0.9889 loss: 1.3865 grounding_loss_reg: 3.8896 detection_loss_cls: 0.0962 detection_loss_reg: 0.5336 caption_loss_cls: 2.8213 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2465 instance_segmentation_loss_poly: 0.7977 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:52:27 - mmengine - INFO - Iter(train) [124400/480000] base_lr: 1.6896e-04 lr: 4.5286e-05 eta: 7 days, 10:54:32 time: 2.2023 data_time: 0.1235 memory: 26634 grad_norm: 0.9861 loss: 1.3795 grounding_loss_reg: 3.8890 detection_loss_cls: 0.0960 detection_loss_reg: 0.5332 caption_loss_cls: 2.8225 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2465 instance_segmentation_loss_poly: 0.7976 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:55:36 - mmengine - INFO - Iter(train) [124500/480000] base_lr: 1.6891e-04 lr: 4.5274e-05 eta: 7 days, 11:12:21 time: 2.1918 data_time: 0.1234 memory: 26634 grad_norm: 0.9836 loss: 1.3791 grounding_loss_reg: 3.8887 detection_loss_cls: 0.0959 detection_loss_reg: 0.5329 caption_loss_cls: 2.8245 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2467 instance_segmentation_loss_poly: 0.7979 semantic_segmentation_loss_cls: 0.0152 2023/10/10 07:55:36 - mmengine - INFO - Saving checkpoint at 124500 iterations 2023/10/10 07:59:58 - mmengine - INFO - Iter(train) [124600/480000] base_lr: 1.6887e-04 lr: 4.5261e-05 eta: 7 days, 14:56:26 time: 2.1803 data_time: 0.1213 memory: 26634 grad_norm: 0.9832 loss: 1.3777 grounding_loss_reg: 3.8877 detection_loss_cls: 0.0958 detection_loss_reg: 0.5322 caption_loss_cls: 2.8202 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2466 instance_segmentation_loss_poly: 0.7982 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:03:28 - mmengine - INFO - Iter(train) [124700/480000] base_lr: 1.6882e-04 lr: 4.5249e-05 eta: 7 days, 16:01:49 time: 2.1718 data_time: 0.1213 memory: 26634 grad_norm: 0.9861 loss: 1.3771 grounding_loss_reg: 3.8857 detection_loss_cls: 0.0956 detection_loss_reg: 0.5321 caption_loss_cls: 2.8166 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2470 instance_segmentation_loss_poly: 0.7986 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:06:51 - mmengine - INFO - Iter(train) [124800/480000] base_lr: 1.6877e-04 lr: 4.5237e-05 eta: 7 days, 16:40:12 time: 2.1562 data_time: 0.1211 memory: 25793 grad_norm: 0.9860 loss: 1.3793 grounding_loss_reg: 3.8843 detection_loss_cls: 0.0956 detection_loss_reg: 0.5315 caption_loss_cls: 2.8129 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2465 instance_segmentation_loss_poly: 0.7974 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:09:58 - mmengine - INFO - Iter(train) [124900/480000] base_lr: 1.6872e-04 lr: 4.5225e-05 eta: 7 days, 16:35:39 time: 2.1487 data_time: 0.1212 memory: 25793 grad_norm: 0.9884 loss: 1.3791 grounding_loss_reg: 3.8849 detection_loss_cls: 0.0953 detection_loss_reg: 0.5310 caption_loss_cls: 2.8129 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2457 instance_segmentation_loss_poly: 0.7952 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:13:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 08:13:33 - mmengine - INFO - Iter(train) [125000/480000] base_lr: 1.6868e-04 lr: 4.5212e-05 eta: 7 days, 17:38:59 time: 2.1502 data_time: 0.1212 memory: 25793 grad_norm: 0.9835 loss: 1.3746 grounding_loss_reg: 3.8849 detection_loss_cls: 0.0949 detection_loss_reg: 0.5304 caption_loss_cls: 2.8112 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2459 instance_segmentation_loss_poly: 0.7961 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:13:33 - mmengine - INFO - Saving checkpoint at 125000 iterations 2023/10/10 08:18:04 - mmengine - INFO - Iter(train) [125100/480000] base_lr: 1.6863e-04 lr: 4.5200e-05 eta: 7 days, 20:44:49 time: 2.1363 data_time: 0.1199 memory: 26634 grad_norm: 0.9873 loss: 1.3857 grounding_loss_reg: 3.8838 detection_loss_cls: 0.0952 detection_loss_reg: 0.5317 caption_loss_cls: 2.8127 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2469 instance_segmentation_loss_poly: 0.7980 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:22:01 - mmengine - INFO - Iter(train) [125200/480000] base_lr: 1.6858e-04 lr: 4.5188e-05 eta: 7 days, 22:21:25 time: 2.1327 data_time: 0.1198 memory: 26634 grad_norm: 0.9849 loss: 1.3866 grounding_loss_reg: 3.8825 detection_loss_cls: 0.0950 detection_loss_reg: 0.5312 caption_loss_cls: 2.8131 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2472 instance_segmentation_loss_poly: 0.7990 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:25:32 - mmengine - INFO - Iter(train) [125300/480000] base_lr: 1.6853e-04 lr: 4.5176e-05 eta: 7 days, 22:55:38 time: 2.1214 data_time: 0.1198 memory: 26634 grad_norm: 0.9925 loss: 1.3939 grounding_loss_reg: 3.8813 detection_loss_cls: 0.0949 detection_loss_reg: 0.5312 caption_loss_cls: 2.8081 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2475 instance_segmentation_loss_poly: 0.7992 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:29:28 - mmengine - INFO - Iter(train) [125400/480000] base_lr: 1.6849e-04 lr: 4.5163e-05 eta: 8 days, 0:17:37 time: 2.1199 data_time: 0.1198 memory: 26634 grad_norm: 0.9887 loss: 1.3872 grounding_loss_reg: 3.8822 detection_loss_cls: 0.0951 detection_loss_reg: 0.5327 caption_loss_cls: 2.8077 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2473 instance_segmentation_loss_poly: 0.7987 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:33:23 - mmengine - INFO - Iter(train) [125500/480000] base_lr: 1.6844e-04 lr: 4.5151e-05 eta: 8 days, 1:33:14 time: 2.1127 data_time: 0.1198 memory: 26634 grad_norm: 0.9928 loss: 1.3938 grounding_loss_reg: 3.8819 detection_loss_cls: 0.0949 detection_loss_reg: 0.5315 caption_loss_cls: 2.8076 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_reg: 0.2472 instance_segmentation_loss_poly: 0.7983 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:33:23 - mmengine - INFO - Saving checkpoint at 125500 iterations 2023/10/10 08:38:31 - mmengine - INFO - Iter(train) [125600/480000] base_lr: 1.6839e-04 lr: 4.5139e-05 eta: 8 days, 5:02:12 time: 2.1106 data_time: 0.1189 memory: 26634 grad_norm: 0.9998 loss: 1.4009 grounding_loss_reg: 3.8813 detection_loss_cls: 0.0947 detection_loss_reg: 0.5314 caption_loss_cls: 2.8066 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2469 instance_segmentation_loss_poly: 0.7959 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:42:05 - mmengine - INFO - Iter(train) [125700/480000] base_lr: 1.6834e-04 lr: 4.5126e-05 eta: 8 days, 5:23:43 time: 2.1061 data_time: 0.1189 memory: 26634 grad_norm: 0.9998 loss: 1.4082 grounding_loss_reg: 3.8800 detection_loss_cls: 0.0950 detection_loss_reg: 0.5327 caption_loss_cls: 2.8074 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2476 instance_segmentation_loss_poly: 0.7982 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:46:34 - mmengine - INFO - Iter(train) [125800/480000] base_lr: 1.6830e-04 lr: 4.5114e-05 eta: 8 days, 7:22:56 time: 2.1123 data_time: 0.1189 memory: 26634 grad_norm: 1.0011 loss: 1.4127 grounding_loss_reg: 3.8794 detection_loss_cls: 0.0949 detection_loss_reg: 0.5321 caption_loss_cls: 2.8046 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2481 instance_segmentation_loss_poly: 0.7991 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:50:16 - mmengine - INFO - Iter(train) [125900/480000] base_lr: 1.6825e-04 lr: 4.5102e-05 eta: 8 days, 7:53:53 time: 2.1037 data_time: 0.1188 memory: 26634 grad_norm: 1.0052 loss: 1.4081 grounding_loss_reg: 3.8776 detection_loss_cls: 0.0950 detection_loss_reg: 0.5322 caption_loss_cls: 2.8024 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2474 instance_segmentation_loss_poly: 0.7973 semantic_segmentation_loss_cls: 0.0152 2023/10/10 08:54:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 08:54:20 - mmengine - INFO - Iter(train) [126000/480000] base_lr: 1.6820e-04 lr: 4.5089e-05 eta: 8 days, 8:58:52 time: 2.1094 data_time: 0.1188 memory: 26634 grad_norm: 1.0033 loss: 1.4088 grounding_loss_reg: 3.8752 detection_loss_cls: 0.0947 detection_loss_reg: 0.5316 caption_loss_cls: 2.8046 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2473 instance_segmentation_loss_poly: 0.7966 semantic_segmentation_loss_cls: 0.0151 2023/10/10 08:54:20 - mmengine - INFO - Saving checkpoint at 126000 iterations 2023/10/10 08:58:59 - mmengine - INFO - Iter(train) [126100/480000] base_lr: 1.6815e-04 lr: 4.5077e-05 eta: 8 days, 10:57:11 time: 2.1046 data_time: 0.1179 memory: 26634 grad_norm: 1.0115 loss: 1.4203 grounding_loss_reg: 3.8749 detection_loss_cls: 0.0946 detection_loss_reg: 0.5308 caption_loss_cls: 2.8020 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2476 instance_segmentation_loss_poly: 0.7973 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:03:26 - mmengine - INFO - Iter(train) [126200/480000] base_lr: 1.6811e-04 lr: 4.5065e-05 eta: 8 days, 12:30:27 time: 2.1058 data_time: 0.1179 memory: 26634 grad_norm: 1.0111 loss: 1.4163 grounding_loss_reg: 3.8749 detection_loss_cls: 0.0944 detection_loss_reg: 0.5294 caption_loss_cls: 2.8006 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_reg: 0.2475 instance_segmentation_loss_poly: 0.7960 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:07:40 - mmengine - INFO - Iter(train) [126300/480000] base_lr: 1.6806e-04 lr: 4.5052e-05 eta: 8 days, 13:38:40 time: 2.1088 data_time: 0.1178 memory: 26634 grad_norm: 1.0104 loss: 1.4119 grounding_loss_reg: 3.8749 detection_loss_cls: 0.0943 detection_loss_reg: 0.5294 caption_loss_cls: 2.8021 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2475 instance_segmentation_loss_poly: 0.7957 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:11:25 - mmengine - INFO - Iter(train) [126400/480000] base_lr: 1.6801e-04 lr: 4.5040e-05 eta: 8 days, 13:58:58 time: 2.1101 data_time: 0.1178 memory: 26634 grad_norm: 1.0094 loss: 1.4125 grounding_loss_reg: 3.8728 detection_loss_cls: 0.0943 detection_loss_reg: 0.5303 caption_loss_cls: 2.7959 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2479 instance_segmentation_loss_poly: 0.7970 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:15:23 - mmengine - INFO - Iter(train) [126500/480000] base_lr: 1.6796e-04 lr: 4.5028e-05 eta: 8 days, 14:36:19 time: 2.1040 data_time: 0.1178 memory: 26634 grad_norm: 1.0142 loss: 1.4193 grounding_loss_reg: 3.8727 detection_loss_cls: 0.0944 detection_loss_reg: 0.5309 caption_loss_cls: 2.7959 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_reg: 0.2484 instance_segmentation_loss_poly: 0.7977 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:15:23 - mmengine - INFO - Saving checkpoint at 126500 iterations 2023/10/10 09:20:20 - mmengine - INFO - Iter(train) [126600/480000] base_lr: 1.6792e-04 lr: 4.5015e-05 eta: 8 days, 16:37:29 time: 2.1410 data_time: 0.1327 memory: 26634 grad_norm: 1.0111 loss: 1.4187 grounding_loss_reg: 3.8722 detection_loss_cls: 0.0947 detection_loss_reg: 0.5326 caption_loss_cls: 2.7942 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_reg: 0.2488 instance_segmentation_loss_poly: 0.7994 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:24:28 - mmengine - INFO - Iter(train) [126700/480000] base_lr: 1.6787e-04 lr: 4.5003e-05 eta: 8 days, 17:23:48 time: 2.1661 data_time: 0.1327 memory: 26634 grad_norm: 1.0104 loss: 1.4223 grounding_loss_reg: 3.8717 detection_loss_cls: 0.0944 detection_loss_reg: 0.5324 caption_loss_cls: 2.7899 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_reg: 0.2460 instance_segmentation_loss_poly: 0.7951 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:28:05 - mmengine - INFO - Iter(train) [126800/480000] base_lr: 1.6782e-04 lr: 4.4990e-05 eta: 8 days, 17:25:16 time: 2.1821 data_time: 0.1326 memory: 25793 grad_norm: 1.0098 loss: 1.4263 grounding_loss_reg: 3.8709 detection_loss_cls: 0.0945 detection_loss_reg: 0.5328 caption_loss_cls: 2.7911 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_reg: 0.2462 instance_segmentation_loss_poly: 0.7961 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:31:47 - mmengine - INFO - Iter(train) [126900/480000] base_lr: 1.6777e-04 lr: 4.4978e-05 eta: 8 days, 17:32:19 time: 2.1981 data_time: 0.1325 memory: 26634 grad_norm: 1.0097 loss: 1.4277 grounding_loss_reg: 3.8698 detection_loss_cls: 0.0942 detection_loss_reg: 0.5302 caption_loss_cls: 2.7921 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2462 instance_segmentation_loss_poly: 0.7953 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:35:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 09:35:30 - mmengine - INFO - Iter(train) [127000/480000] base_lr: 1.6772e-04 lr: 4.4966e-05 eta: 8 days, 17:41:21 time: 2.2118 data_time: 0.1325 memory: 26634 grad_norm: 1.0111 loss: 1.4301 grounding_loss_reg: 3.8699 detection_loss_cls: 0.0941 detection_loss_reg: 0.5295 caption_loss_cls: 2.7882 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2470 instance_segmentation_loss_poly: 0.7974 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:35:30 - mmengine - INFO - Saving checkpoint at 127000 iterations 2023/10/10 09:40:28 - mmengine - INFO - Iter(train) [127100/480000] base_lr: 1.6768e-04 lr: 4.4953e-05 eta: 8 days, 19:24:47 time: 2.2322 data_time: 0.1321 memory: 26634 grad_norm: 1.0088 loss: 1.4278 grounding_loss_reg: 3.8687 detection_loss_cls: 0.0935 detection_loss_reg: 0.5265 caption_loss_cls: 2.7894 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2473 instance_segmentation_loss_poly: 0.7990 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:44:34 - mmengine - INFO - Iter(train) [127200/480000] base_lr: 1.6763e-04 lr: 4.4941e-05 eta: 8 days, 19:59:45 time: 2.2532 data_time: 0.1322 memory: 26634 grad_norm: 1.0076 loss: 1.4336 grounding_loss_reg: 3.8699 detection_loss_cls: 0.0935 detection_loss_reg: 0.5255 caption_loss_cls: 2.7922 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2487 instance_segmentation_loss_poly: 0.7996 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:49:07 - mmengine - INFO - Iter(train) [127300/480000] base_lr: 1.6758e-04 lr: 4.4928e-05 eta: 8 days, 21:05:02 time: 2.2776 data_time: 0.1322 memory: 26634 grad_norm: 1.0101 loss: 1.4330 grounding_loss_reg: 3.8694 detection_loss_cls: 0.0932 detection_loss_reg: 0.5241 caption_loss_cls: 2.7869 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_reg: 0.2472 instance_segmentation_loss_poly: 0.7964 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:52:45 - mmengine - INFO - Iter(train) [127400/480000] base_lr: 1.6753e-04 lr: 4.4916e-05 eta: 8 days, 21:02:27 time: 2.2882 data_time: 0.1322 memory: 26634 grad_norm: 1.0108 loss: 1.4359 grounding_loss_reg: 3.8696 detection_loss_cls: 0.0933 detection_loss_reg: 0.5252 caption_loss_cls: 2.7899 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2468 instance_segmentation_loss_poly: 0.7951 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:56:21 - mmengine - INFO - Iter(train) [127500/480000] base_lr: 1.6748e-04 lr: 4.4903e-05 eta: 8 days, 20:56:50 time: 2.2998 data_time: 0.1321 memory: 25793 grad_norm: 1.0100 loss: 1.4408 grounding_loss_reg: 3.8702 detection_loss_cls: 0.0928 detection_loss_reg: 0.5236 caption_loss_cls: 2.7963 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_reg: 0.2468 instance_segmentation_loss_poly: 0.7961 semantic_segmentation_loss_cls: 0.0151 2023/10/10 09:56:21 - mmengine - INFO - Saving checkpoint at 127500 iterations 2023/10/10 10:01:39 - mmengine - INFO - Iter(train) [127600/480000] base_lr: 1.6744e-04 lr: 4.4891e-05 eta: 8 days, 22:48:45 time: 2.3194 data_time: 0.1315 memory: 26634 grad_norm: 1.0080 loss: 1.4415 grounding_loss_reg: 3.8708 detection_loss_cls: 0.0929 detection_loss_reg: 0.5234 caption_loss_cls: 2.8010 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2462 instance_segmentation_loss_poly: 0.7945 semantic_segmentation_loss_cls: 0.0151 2023/10/10 10:05:57 - mmengine - INFO - Iter(train) [127700/480000] base_lr: 1.6739e-04 lr: 4.4879e-05 eta: 8 days, 23:28:29 time: 2.3448 data_time: 0.1314 memory: 26634 grad_norm: 1.0091 loss: 1.4368 grounding_loss_reg: 3.8678 detection_loss_cls: 0.0928 detection_loss_reg: 0.5233 caption_loss_cls: 2.7971 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2470 instance_segmentation_loss_poly: 0.7967 semantic_segmentation_loss_cls: 0.0151 2023/10/10 10:10:23 - mmengine - INFO - Iter(train) [127800/480000] base_lr: 1.6734e-04 lr: 4.4866e-05 eta: 9 days, 0:16:14 time: 2.3657 data_time: 0.1314 memory: 26634 grad_norm: 1.0095 loss: 1.4316 grounding_loss_reg: 3.8679 detection_loss_cls: 0.0927 detection_loss_reg: 0.5225 caption_loss_cls: 2.7966 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2466 instance_segmentation_loss_poly: 0.7955 semantic_segmentation_loss_cls: 0.0151 2023/10/10 10:14:23 - mmengine - INFO - Iter(train) [127900/480000] base_lr: 1.6729e-04 lr: 4.4854e-05 eta: 9 days, 0:33:10 time: 2.3815 data_time: 0.1314 memory: 26634 grad_norm: 1.0080 loss: 1.4289 grounding_loss_reg: 3.8675 detection_loss_cls: 0.0928 detection_loss_reg: 0.5224 caption_loss_cls: 2.7932 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2467 instance_segmentation_loss_poly: 0.7951 semantic_segmentation_loss_cls: 0.0151 2023/10/10 10:18:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 10:18:58 - mmengine - INFO - Iter(train) [128000/480000] base_lr: 1.6724e-04 lr: 4.4841e-05 eta: 9 days, 1:25:56 time: 2.4043 data_time: 0.1315 memory: 26634 grad_norm: 1.0030 loss: 1.4221 grounding_loss_reg: 3.8669 detection_loss_cls: 0.0927 detection_loss_reg: 0.5230 caption_loss_cls: 2.7942 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2468 instance_segmentation_loss_poly: 0.7953 semantic_segmentation_loss_cls: 0.0151 2023/10/10 10:18:58 - mmengine - INFO - Saving checkpoint at 128000 iterations 2023/10/10 10:24:08 - mmengine - INFO - Iter(train) [128100/480000] base_lr: 1.6720e-04 lr: 4.4829e-05 eta: 9 days, 2:53:52 time: 2.4229 data_time: 0.1318 memory: 26634 grad_norm: 1.0016 loss: 1.4169 grounding_loss_reg: 3.8668 detection_loss_cls: 0.0926 detection_loss_reg: 0.5217 caption_loss_cls: 2.7922 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2471 instance_segmentation_loss_poly: 0.7963 semantic_segmentation_loss_cls: 0.0150 2023/10/10 10:28:07 - mmengine - INFO - Iter(train) [128200/480000] base_lr: 1.6715e-04 lr: 4.4816e-05 eta: 9 days, 3:05:56 time: 2.4342 data_time: 0.1318 memory: 26634 grad_norm: 1.0007 loss: 1.4201 grounding_loss_reg: 3.8664 detection_loss_cls: 0.0927 detection_loss_reg: 0.5221 caption_loss_cls: 2.7951 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2470 instance_segmentation_loss_poly: 0.7963 semantic_segmentation_loss_cls: 0.0150 2023/10/10 10:32:18 - mmengine - INFO - Iter(train) [128300/480000] base_lr: 1.6710e-04 lr: 4.4804e-05 eta: 9 days, 3:29:08 time: 2.4485 data_time: 0.1318 memory: 25793 grad_norm: 1.0002 loss: 1.4195 grounding_loss_reg: 3.8658 detection_loss_cls: 0.0927 detection_loss_reg: 0.5224 caption_loss_cls: 2.7970 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2465 instance_segmentation_loss_poly: 0.7940 semantic_segmentation_loss_cls: 0.0150 2023/10/10 10:36:35 - mmengine - INFO - Iter(train) [128400/480000] base_lr: 1.6705e-04 lr: 4.4791e-05 eta: 9 days, 3:57:10 time: 2.4615 data_time: 0.1319 memory: 25793 grad_norm: 0.9993 loss: 1.4182 grounding_loss_reg: 3.8675 detection_loss_cls: 0.0926 detection_loss_reg: 0.5223 caption_loss_cls: 2.7937 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2465 instance_segmentation_loss_poly: 0.7953 semantic_segmentation_loss_cls: 0.0148 2023/10/10 10:40:19 - mmengine - INFO - Iter(train) [128500/480000] base_lr: 1.6700e-04 lr: 4.4779e-05 eta: 9 days, 3:52:17 time: 2.4705 data_time: 0.1319 memory: 26634 grad_norm: 1.0010 loss: 1.4220 grounding_loss_reg: 3.8674 detection_loss_cls: 0.0924 detection_loss_reg: 0.5219 caption_loss_cls: 2.7945 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2461 instance_segmentation_loss_poly: 0.7936 semantic_segmentation_loss_cls: 0.0148 2023/10/10 10:40:19 - mmengine - INFO - Saving checkpoint at 128500 iterations 2023/10/10 10:45:18 - mmengine - INFO - Iter(train) [128600/480000] base_lr: 1.6695e-04 lr: 4.4766e-05 eta: 9 days, 4:59:17 time: 2.4797 data_time: 0.1319 memory: 26634 grad_norm: 0.9997 loss: 1.4211 grounding_loss_reg: 3.8673 detection_loss_cls: 0.0923 detection_loss_reg: 0.5215 caption_loss_cls: 2.7911 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_reg: 0.2462 instance_segmentation_loss_poly: 0.7935 semantic_segmentation_loss_cls: 0.0148 2023/10/10 10:49:45 - mmengine - INFO - Iter(train) [128700/480000] base_lr: 1.6691e-04 lr: 4.4754e-05 eta: 9 days, 5:34:33 time: 2.4939 data_time: 0.1319 memory: 26634 grad_norm: 0.9963 loss: 1.4250 grounding_loss_reg: 3.8665 detection_loss_cls: 0.0925 detection_loss_reg: 0.5222 caption_loss_cls: 2.7959 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_reg: 0.2482 instance_segmentation_loss_poly: 0.7967 semantic_segmentation_loss_cls: 0.0148 2023/10/10 10:54:01 - mmengine - INFO - Iter(train) [128800/480000] base_lr: 1.6686e-04 lr: 4.4741e-05 eta: 9 days, 5:57:18 time: 2.5072 data_time: 0.1319 memory: 26634 grad_norm: 0.9964 loss: 1.4296 grounding_loss_reg: 3.8668 detection_loss_cls: 0.0930 detection_loss_reg: 0.5251 caption_loss_cls: 2.7933 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2477 instance_segmentation_loss_poly: 0.7956 semantic_segmentation_loss_cls: 0.0148 2023/10/10 10:57:37 - mmengine - INFO - Iter(train) [128900/480000] base_lr: 1.6681e-04 lr: 4.4728e-05 eta: 9 days, 5:42:53 time: 2.5145 data_time: 0.1319 memory: 26634 grad_norm: 0.9946 loss: 1.4236 grounding_loss_reg: 3.8668 detection_loss_cls: 0.0931 detection_loss_reg: 0.5254 caption_loss_cls: 2.7856 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2479 instance_segmentation_loss_poly: 0.7962 semantic_segmentation_loss_cls: 0.0148 2023/10/10 11:02:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231010_062857 2023/10/10 11:02:05 - mmengine - INFO - Iter(train) [129000/480000] base_lr: 1.6676e-04 lr: 4.4716e-05 eta: 9 days, 6:16:00 time: 2.5278 data_time: 0.1319 memory: 25793 grad_norm: 0.9922 loss: 1.4243 grounding_loss_reg: 3.8670 detection_loss_cls: 0.0930 detection_loss_reg: 0.5259 caption_loss_cls: 2.7860 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2482 instance_segmentation_loss_poly: 0.7984 semantic_segmentation_loss_cls: 0.0148 2023/10/10 11:02:05 - mmengine - INFO - Saving checkpoint at 129000 iterations 2023/10/10 11:07:02 - mmengine - INFO - Iter(train) [129100/480000] base_lr: 1.6671e-04 lr: 4.4703e-05 eta: 9 days, 7:12:40 time: 2.5340 data_time: 0.1322 memory: 26634 grad_norm: 0.9946 loss: 1.4243 grounding_loss_reg: 3.8671 detection_loss_cls: 0.0933 detection_loss_reg: 0.5274 caption_loss_cls: 2.7859 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2485 instance_segmentation_loss_poly: 0.8000 semantic_segmentation_loss_cls: 0.0148 2023/10/10 11:11:00 - mmengine - INFO - Iter(train) [129200/480000] base_lr: 1.6666e-04 lr: 4.4691e-05 eta: 9 days, 7:16:49 time: 2.5343 data_time: 0.1322 memory: 25793 grad_norm: 0.9940 loss: 1.4258 grounding_loss_reg: 3.8665 detection_loss_cls: 0.0934 detection_loss_reg: 0.5284 caption_loss_cls: 2.7792 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2486 instance_segmentation_loss_poly: 0.8017 semantic_segmentation_loss_cls: 0.0148 2023/10/10 11:14:52 - mmengine - INFO - Iter(train) [129300/480000] base_lr: 1.6662e-04 lr: 4.4678e-05 eta: 9 days, 7:15:41 time: 2.5396 data_time: 0.1322 memory: 25793 grad_norm: 0.9867 loss: 1.4172 grounding_loss_reg: 3.8653 detection_loss_cls: 0.0931 detection_loss_reg: 0.5274 caption_loss_cls: 2.7791 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2485 instance_segmentation_loss_poly: 0.8017 semantic_segmentation_loss_cls: 0.0148 2023/10/10 11:18:41 - mmengine - INFO - Iter(train) [129400/480000] base_lr: 1.6657e-04 lr: 4.4666e-05 eta: 9 days, 7:11:27 time: 2.5379 data_time: 0.1322 memory: 26634 grad_norm: 0.9915 loss: 1.4268 grounding_loss_reg: 3.8659 detection_loss_cls: 0.0928 detection_loss_reg: 0.5256 caption_loss_cls: 2.7803 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.2487 instance_segmentation_loss_poly: 0.8021 semantic_segmentation_loss_cls: 0.0148 2023/10/10 11:22:09 - mmengine - INFO - Iter(train) [129500/480000] base_lr: 1.6652e-04 lr: 4.4653e-05 eta: 9 days, 6:50:26 time: 2.5312 data_time: 0.1321 memory: 26634 grad_norm: 0.9971 loss: 1.4347 grounding_loss_reg: 3.8659 detection_loss_cls: 0.0928 detection_loss_reg: 0.5257 caption_loss_cls: 2.7837 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_reg: 0.2492 instance_segmentation_loss_poly: 0.8020 semantic_segmentation_loss_cls: 0.0149 2023/10/10 11:22:09 - mmengine - INFO - Saving checkpoint at 129500 iterations 2023/10/10 11:27:00 - mmengine - INFO - Iter(train) [129600/480000] base_lr: 1.6647e-04 lr: 4.4640e-05 eta: 9 days, 7:37:21 time: 2.5269 data_time: 0.1326 memory: 26634 grad_norm: 1.0001 loss: 1.4430 grounding_loss_reg: 3.8647 detection_loss_cls: 0.0928 detection_loss_reg: 0.5257 caption_loss_cls: 2.7825 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_reg: 0.2480 instance_segmentation_loss_poly: 0.8005 semantic_segmentation_loss_cls: 0.0149 2023/10/11 09:52:57 - mmengine - INFO - Iter(train) [129700/480000] base_lr: 1.6642e-04 lr: 4.4628e-05 eta: 6 days, 0:51:33 time: 2.4753 data_time: 0.1172 memory: 26558 grad_norm: 1.0013 loss: 1.4302 grounding_loss_reg: 3.8647 detection_loss_cls: 0.0921 detection_loss_reg: 0.5228 caption_loss_cls: 2.7743 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2483 instance_segmentation_loss_poly: 0.8002 semantic_segmentation_loss_cls: 0.0149 2023/10/11 09:55:34 - mmengine - INFO - Iter(train) [129800/480000] base_lr: 1.6637e-04 lr: 4.4615e-05 eta: 6 days, 3:35:59 time: 2.4474 data_time: 0.1172 memory: 26558 grad_norm: 1.0026 loss: 1.4245 grounding_loss_reg: 3.8631 detection_loss_cls: 0.0919 detection_loss_reg: 0.5218 caption_loss_cls: 2.7727 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2482 instance_segmentation_loss_poly: 0.7988 semantic_segmentation_loss_cls: 0.0149 2023/10/11 09:58:17 - mmengine - INFO - Iter(train) [129900/480000] base_lr: 1.6632e-04 lr: 4.4603e-05 eta: 6 days, 6:17:11 time: 2.4325 data_time: 0.1173 memory: 25718 grad_norm: 1.0024 loss: 1.4282 grounding_loss_reg: 3.8618 detection_loss_cls: 0.0917 detection_loss_reg: 0.5221 caption_loss_cls: 2.7718 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2483 instance_segmentation_loss_poly: 0.7991 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:01:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 10:01:11 - mmengine - INFO - Iter(train) [130000/480000] base_lr: 1.6628e-04 lr: 4.4590e-05 eta: 6 days, 10:01:42 time: 2.4151 data_time: 0.1174 memory: 26558 grad_norm: 1.0012 loss: 1.4258 grounding_loss_reg: 3.8587 detection_loss_cls: 0.0909 detection_loss_reg: 0.5191 caption_loss_cls: 2.7717 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2489 instance_segmentation_loss_poly: 0.7999 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:01:11 - mmengine - INFO - Saving checkpoint at 130000 iterations 2023/10/11 10:04:52 - mmengine - INFO - Iter(train) [130100/480000] base_lr: 1.6623e-04 lr: 4.4577e-05 eta: 6 days, 20:05:22 time: 2.4006 data_time: 0.1175 memory: 25718 grad_norm: 0.9950 loss: 1.4176 grounding_loss_reg: 3.8580 detection_loss_cls: 0.0908 detection_loss_reg: 0.5185 caption_loss_cls: 2.7679 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2493 instance_segmentation_loss_poly: 0.8006 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:07:55 - mmengine - INFO - Iter(train) [130200/480000] base_lr: 1.6618e-04 lr: 4.4565e-05 eta: 6 days, 22:01:09 time: 2.3796 data_time: 0.1174 memory: 25718 grad_norm: 0.9952 loss: 1.4192 grounding_loss_reg: 3.8557 detection_loss_cls: 0.0904 detection_loss_reg: 0.5175 caption_loss_cls: 2.7679 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2490 instance_segmentation_loss_poly: 0.7993 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:10:58 - mmengine - INFO - Iter(train) [130300/480000] base_lr: 1.6613e-04 lr: 4.4552e-05 eta: 6 days, 23:23:11 time: 2.3616 data_time: 0.1175 memory: 25718 grad_norm: 0.9914 loss: 1.4127 grounding_loss_reg: 3.8550 detection_loss_cls: 0.0899 detection_loss_reg: 0.5157 caption_loss_cls: 2.7629 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2486 instance_segmentation_loss_poly: 0.7979 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:14:14 - mmengine - INFO - Iter(train) [130400/480000] base_lr: 1.6608e-04 lr: 4.4539e-05 eta: 7 days, 1:57:51 time: 2.3545 data_time: 0.1175 memory: 25718 grad_norm: 0.9883 loss: 1.4163 grounding_loss_reg: 3.8541 detection_loss_cls: 0.0898 detection_loss_reg: 0.5147 caption_loss_cls: 2.7677 instance_segmentation_loss_cls: 0.0522 instance_segmentation_loss_reg: 0.2486 instance_segmentation_loss_poly: 0.7975 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:17:18 - mmengine - INFO - Iter(train) [130500/480000] base_lr: 1.6603e-04 lr: 4.4527e-05 eta: 7 days, 2:43:36 time: 2.3410 data_time: 0.1176 memory: 25718 grad_norm: 0.9895 loss: 1.4180 grounding_loss_reg: 3.8540 detection_loss_cls: 0.0896 detection_loss_reg: 0.5135 caption_loss_cls: 2.7633 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_reg: 0.2484 instance_segmentation_loss_poly: 0.7970 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:17:18 - mmengine - INFO - Saving checkpoint at 130500 iterations 2023/10/11 10:21:53 - mmengine - INFO - Iter(train) [130600/480000] base_lr: 1.6598e-04 lr: 4.4514e-05 eta: 7 days, 11:27:11 time: 2.3355 data_time: 0.1178 memory: 26558 grad_norm: 0.9874 loss: 1.4177 grounding_loss_reg: 3.8529 detection_loss_cls: 0.0892 detection_loss_reg: 0.5122 caption_loss_cls: 2.7616 instance_segmentation_loss_cls: 0.0522 instance_segmentation_loss_reg: 0.2497 instance_segmentation_loss_poly: 0.7983 semantic_segmentation_loss_cls: 0.0149 2023/10/11 10:24:52 - mmengine - INFO - Iter(train) [130700/480000] base_lr: 1.6593e-04 lr: 4.4501e-05 eta: 7 days, 10:52:41 time: 2.3181 data_time: 0.1178 memory: 25718 grad_norm: 0.9861 loss: 1.4163 grounding_loss_reg: 3.8537 detection_loss_cls: 0.0891 detection_loss_reg: 0.5115 caption_loss_cls: 2.7629 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_reg: 0.2498 instance_segmentation_loss_poly: 0.7985 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:28:26 - mmengine - INFO - Iter(train) [130800/480000] base_lr: 1.6589e-04 lr: 4.4489e-05 eta: 7 days, 13:02:04 time: 2.3174 data_time: 0.1179 memory: 25718 grad_norm: 0.9827 loss: 1.4069 grounding_loss_reg: 3.8533 detection_loss_cls: 0.0890 detection_loss_reg: 0.5114 caption_loss_cls: 2.7598 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_reg: 0.2499 instance_segmentation_loss_poly: 0.7984 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:31:35 - mmengine - INFO - Iter(train) [130900/480000] base_lr: 1.6584e-04 lr: 4.4476e-05 eta: 7 days, 13:08:32 time: 2.3092 data_time: 0.1179 memory: 25718 grad_norm: 0.9837 loss: 1.4044 grounding_loss_reg: 3.8532 detection_loss_cls: 0.0889 detection_loss_reg: 0.5107 caption_loss_cls: 2.7571 instance_segmentation_loss_cls: 0.0519 instance_segmentation_loss_reg: 0.2502 instance_segmentation_loss_poly: 0.7988 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:35:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 10:35:00 - mmengine - INFO - Iter(train) [131000/480000] base_lr: 1.6579e-04 lr: 4.4463e-05 eta: 7 days, 14:15:51 time: 2.3047 data_time: 0.1180 memory: 26558 grad_norm: 0.9829 loss: 1.4075 grounding_loss_reg: 3.8519 detection_loss_cls: 0.0887 detection_loss_reg: 0.5105 caption_loss_cls: 2.7565 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_reg: 0.2518 instance_segmentation_loss_poly: 0.8018 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:35:00 - mmengine - INFO - Saving checkpoint at 131000 iterations 2023/10/11 10:39:21 - mmengine - INFO - Iter(train) [131100/480000] base_lr: 1.6574e-04 lr: 4.4451e-05 eta: 7 days, 18:39:59 time: 2.2957 data_time: 0.1181 memory: 25718 grad_norm: 0.9798 loss: 1.4015 grounding_loss_reg: 3.8524 detection_loss_cls: 0.0884 detection_loss_reg: 0.5092 caption_loss_cls: 2.7504 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8025 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:42:32 - mmengine - INFO - Iter(train) [131200/480000] base_lr: 1.6569e-04 lr: 4.4438e-05 eta: 7 days, 18:30:08 time: 2.2817 data_time: 0.1181 memory: 26558 grad_norm: 0.9918 loss: 1.4036 grounding_loss_reg: 3.8517 detection_loss_cls: 0.0882 detection_loss_reg: 0.5084 caption_loss_cls: 2.7491 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2526 instance_segmentation_loss_poly: 0.8032 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:46:09 - mmengine - INFO - Iter(train) [131300/480000] base_lr: 1.6564e-04 lr: 4.4425e-05 eta: 7 days, 19:47:44 time: 2.2679 data_time: 0.1181 memory: 26558 grad_norm: 0.9887 loss: 1.3991 grounding_loss_reg: 3.8520 detection_loss_cls: 0.0880 detection_loss_reg: 0.5076 caption_loss_cls: 2.7486 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2536 instance_segmentation_loss_poly: 0.8048 semantic_segmentation_loss_cls: 0.0148 2023/10/11 10:49:55 - mmengine - INFO - Iter(train) [131400/480000] base_lr: 1.6559e-04 lr: 4.4412e-05 eta: 7 days, 21:20:05 time: 2.2696 data_time: 0.1182 memory: 25718 grad_norm: 0.9839 loss: 1.3921 grounding_loss_reg: 3.8515 detection_loss_cls: 0.0876 detection_loss_reg: 0.5072 caption_loss_cls: 2.7474 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2534 instance_segmentation_loss_poly: 0.8046 semantic_segmentation_loss_cls: 0.0147 2023/10/11 10:53:23 - mmengine - INFO - Iter(train) [131500/480000] base_lr: 1.6554e-04 lr: 4.4400e-05 eta: 7 days, 21:53:53 time: 2.2678 data_time: 0.1183 memory: 25718 grad_norm: 0.9799 loss: 1.3810 grounding_loss_reg: 3.8515 detection_loss_cls: 0.0873 detection_loss_reg: 0.5062 caption_loss_cls: 2.7413 instance_segmentation_loss_cls: 0.0522 instance_segmentation_loss_reg: 0.2538 instance_segmentation_loss_poly: 0.8048 semantic_segmentation_loss_cls: 0.0147 2023/10/11 10:53:23 - mmengine - INFO - Saving checkpoint at 131500 iterations 2023/10/11 10:57:56 - mmengine - INFO - Iter(train) [131600/480000] base_lr: 1.6549e-04 lr: 4.4387e-05 eta: 8 days, 1:23:34 time: 2.2566 data_time: 0.1185 memory: 26558 grad_norm: 0.9775 loss: 1.3780 grounding_loss_reg: 3.8519 detection_loss_cls: 0.0868 detection_loss_reg: 0.5035 caption_loss_cls: 2.7406 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_reg: 0.2539 instance_segmentation_loss_poly: 0.8046 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:01:50 - mmengine - INFO - Iter(train) [131700/480000] base_lr: 1.6544e-04 lr: 4.4374e-05 eta: 8 days, 2:48:37 time: 2.2505 data_time: 0.1185 memory: 25718 grad_norm: 0.9758 loss: 1.3792 grounding_loss_reg: 3.8498 detection_loss_cls: 0.0866 detection_loss_reg: 0.5018 caption_loss_cls: 2.7425 instance_segmentation_loss_cls: 0.0514 instance_segmentation_loss_reg: 0.2525 instance_segmentation_loss_poly: 0.8034 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:05:26 - mmengine - INFO - Iter(train) [131800/480000] base_lr: 1.6539e-04 lr: 4.4361e-05 eta: 8 days, 3:23:45 time: 2.2380 data_time: 0.1185 memory: 25718 grad_norm: 0.9777 loss: 1.3833 grounding_loss_reg: 3.8498 detection_loss_cls: 0.0863 detection_loss_reg: 0.5009 caption_loss_cls: 2.7424 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_reg: 0.2525 instance_segmentation_loss_poly: 0.8025 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:08:53 - mmengine - INFO - Iter(train) [131900/480000] base_lr: 1.6535e-04 lr: 4.4349e-05 eta: 8 days, 3:31:35 time: 2.2296 data_time: 0.1186 memory: 25718 grad_norm: 0.9809 loss: 1.3937 grounding_loss_reg: 3.8500 detection_loss_cls: 0.0857 detection_loss_reg: 0.4989 caption_loss_cls: 2.7449 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8045 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:12:52 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 11:12:52 - mmengine - INFO - Iter(train) [132000/480000] base_lr: 1.6530e-04 lr: 4.4336e-05 eta: 8 days, 4:54:32 time: 2.2209 data_time: 0.1185 memory: 25718 grad_norm: 0.9804 loss: 1.3903 grounding_loss_reg: 3.8500 detection_loss_cls: 0.0851 detection_loss_reg: 0.4973 caption_loss_cls: 2.7444 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_reg: 0.2528 instance_segmentation_loss_poly: 0.8037 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:12:52 - mmengine - INFO - Saving checkpoint at 132000 iterations 2023/10/11 11:17:35 - mmengine - INFO - Iter(train) [132100/480000] base_lr: 1.6525e-04 lr: 4.4323e-05 eta: 8 days, 7:46:47 time: 2.2140 data_time: 0.1185 memory: 26558 grad_norm: 0.9858 loss: 1.4021 grounding_loss_reg: 3.8500 detection_loss_cls: 0.0850 detection_loss_reg: 0.4972 caption_loss_cls: 2.7449 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_reg: 0.2523 instance_segmentation_loss_poly: 0.8024 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:21:29 - mmengine - INFO - Iter(train) [132200/480000] base_lr: 1.6520e-04 lr: 4.4310e-05 eta: 8 days, 8:41:30 time: 2.2127 data_time: 0.1185 memory: 26558 grad_norm: 0.9813 loss: 1.3924 grounding_loss_reg: 3.8497 detection_loss_cls: 0.0847 detection_loss_reg: 0.4962 caption_loss_cls: 2.7424 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_reg: 0.2523 instance_segmentation_loss_poly: 0.8022 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:25:02 - mmengine - INFO - Iter(train) [132300/480000] base_lr: 1.6515e-04 lr: 4.4298e-05 eta: 8 days, 8:49:19 time: 2.2032 data_time: 0.1186 memory: 26558 grad_norm: 0.9877 loss: 1.3910 grounding_loss_reg: 3.8483 detection_loss_cls: 0.0840 detection_loss_reg: 0.4948 caption_loss_cls: 2.7394 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_reg: 0.2525 instance_segmentation_loss_poly: 0.8017 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:28:39 - mmengine - INFO - Iter(train) [132400/480000] base_lr: 1.6510e-04 lr: 4.4285e-05 eta: 8 days, 9:04:01 time: 2.1933 data_time: 0.1185 memory: 25718 grad_norm: 0.9853 loss: 1.3853 grounding_loss_reg: 3.8478 detection_loss_cls: 0.0835 detection_loss_reg: 0.4928 caption_loss_cls: 2.7357 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_reg: 0.2523 instance_segmentation_loss_poly: 0.8023 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:32:37 - mmengine - INFO - Iter(train) [132500/480000] base_lr: 1.6505e-04 lr: 4.4272e-05 eta: 8 days, 9:57:15 time: 2.1967 data_time: 0.1185 memory: 25718 grad_norm: 0.9821 loss: 1.3793 grounding_loss_reg: 3.8470 detection_loss_cls: 0.0832 detection_loss_reg: 0.4907 caption_loss_cls: 2.7339 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_reg: 0.2512 instance_segmentation_loss_poly: 0.7993 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:32:37 - mmengine - INFO - Saving checkpoint at 132500 iterations 2023/10/11 11:37:41 - mmengine - INFO - Iter(train) [132600/480000] base_lr: 1.6500e-04 lr: 4.4259e-05 eta: 8 days, 12:51:15 time: 2.1981 data_time: 0.1191 memory: 25718 grad_norm: 0.9860 loss: 1.3905 grounding_loss_reg: 3.8461 detection_loss_cls: 0.0829 detection_loss_reg: 0.4908 caption_loss_cls: 2.7370 instance_segmentation_loss_cls: 0.0505 instance_segmentation_loss_reg: 0.2518 instance_segmentation_loss_poly: 0.8001 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:41:25 - mmengine - INFO - Iter(train) [132700/480000] base_lr: 1.6495e-04 lr: 4.4246e-05 eta: 8 days, 13:09:09 time: 2.1872 data_time: 0.1191 memory: 26558 grad_norm: 0.9904 loss: 1.3903 grounding_loss_reg: 3.8448 detection_loss_cls: 0.0826 detection_loss_reg: 0.4898 caption_loss_cls: 2.7382 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2515 instance_segmentation_loss_poly: 0.7989 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:45:49 - mmengine - INFO - Iter(train) [132800/480000] base_lr: 1.6490e-04 lr: 4.4234e-05 eta: 8 days, 14:35:39 time: 2.1893 data_time: 0.1191 memory: 26558 grad_norm: 0.9871 loss: 1.3867 grounding_loss_reg: 3.8453 detection_loss_cls: 0.0823 detection_loss_reg: 0.4888 caption_loss_cls: 2.7334 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2521 instance_segmentation_loss_poly: 0.8004 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:49:31 - mmengine - INFO - Iter(train) [132900/480000] base_lr: 1.6485e-04 lr: 4.4221e-05 eta: 8 days, 14:44:44 time: 2.1907 data_time: 0.1192 memory: 26558 grad_norm: 0.9841 loss: 1.3880 grounding_loss_reg: 3.8453 detection_loss_cls: 0.0822 detection_loss_reg: 0.4890 caption_loss_cls: 2.7306 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2524 instance_segmentation_loss_poly: 0.8004 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:53:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 11:53:45 - mmengine - INFO - Iter(train) [133000/480000] base_lr: 1.6480e-04 lr: 4.4208e-05 eta: 8 days, 15:46:09 time: 2.1871 data_time: 0.1192 memory: 26558 grad_norm: 0.9873 loss: 1.3804 grounding_loss_reg: 3.8437 detection_loss_cls: 0.0820 detection_loss_reg: 0.4880 caption_loss_cls: 2.7283 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2529 instance_segmentation_loss_poly: 0.8011 semantic_segmentation_loss_cls: 0.0147 2023/10/11 11:53:45 - mmengine - INFO - Saving checkpoint at 133000 iterations 2023/10/11 11:58:23 - mmengine - INFO - Iter(train) [133100/480000] base_lr: 1.6475e-04 lr: 4.4195e-05 eta: 8 days, 17:23:07 time: 2.1825 data_time: 0.1189 memory: 25718 grad_norm: 0.9867 loss: 1.3754 grounding_loss_reg: 3.8425 detection_loss_cls: 0.0816 detection_loss_reg: 0.4867 caption_loss_cls: 2.7288 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_reg: 0.2532 instance_segmentation_loss_poly: 0.8015 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:02:44 - mmengine - INFO - Iter(train) [133200/480000] base_lr: 1.6470e-04 lr: 4.4182e-05 eta: 8 days, 18:27:59 time: 2.1883 data_time: 0.1190 memory: 26558 grad_norm: 0.9816 loss: 1.3671 grounding_loss_reg: 3.8427 detection_loss_cls: 0.0813 detection_loss_reg: 0.4851 caption_loss_cls: 2.7265 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2540 instance_segmentation_loss_poly: 0.8034 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:07:01 - mmengine - INFO - Iter(train) [133300/480000] base_lr: 1.6465e-04 lr: 4.4169e-05 eta: 8 days, 19:23:32 time: 2.1946 data_time: 0.1190 memory: 25718 grad_norm: 0.9815 loss: 1.3649 grounding_loss_reg: 3.8429 detection_loss_cls: 0.0810 detection_loss_reg: 0.4839 caption_loss_cls: 2.7261 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_reg: 0.2537 instance_segmentation_loss_poly: 0.8033 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:10:59 - mmengine - INFO - Iter(train) [133400/480000] base_lr: 1.6460e-04 lr: 4.4156e-05 eta: 8 days, 19:46:54 time: 2.1968 data_time: 0.1191 memory: 26558 grad_norm: 0.9791 loss: 1.3677 grounding_loss_reg: 3.8428 detection_loss_cls: 0.0807 detection_loss_reg: 0.4821 caption_loss_cls: 2.7292 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_reg: 0.2545 instance_segmentation_loss_poly: 0.8051 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:15:06 - mmengine - INFO - Iter(train) [133500/480000] base_lr: 1.6455e-04 lr: 4.4144e-05 eta: 8 days, 20:22:03 time: 2.2064 data_time: 0.1191 memory: 26558 grad_norm: 0.9722 loss: 1.3650 grounding_loss_reg: 3.8421 detection_loss_cls: 0.0807 detection_loss_reg: 0.4834 caption_loss_cls: 2.7386 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2552 instance_segmentation_loss_poly: 0.8062 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:15:06 - mmengine - INFO - Saving checkpoint at 133500 iterations 2023/10/11 12:20:09 - mmengine - INFO - Iter(train) [133600/480000] base_lr: 1.6450e-04 lr: 4.4131e-05 eta: 8 days, 22:14:10 time: 2.2453 data_time: 0.1345 memory: 26558 grad_norm: 0.9662 loss: 1.3581 grounding_loss_reg: 3.8420 detection_loss_cls: 0.0806 detection_loss_reg: 0.4836 caption_loss_cls: 2.7411 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_reg: 0.2549 instance_segmentation_loss_poly: 0.8046 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:24:30 - mmengine - INFO - Iter(train) [133700/480000] base_lr: 1.6445e-04 lr: 4.4118e-05 eta: 8 days, 23:03:30 time: 2.2730 data_time: 0.1346 memory: 26558 grad_norm: 0.9633 loss: 1.3643 grounding_loss_reg: 3.8405 detection_loss_cls: 0.0805 detection_loss_reg: 0.4836 caption_loss_cls: 2.7403 instance_segmentation_loss_cls: 0.0505 instance_segmentation_loss_reg: 0.2564 instance_segmentation_loss_poly: 0.8069 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:28:08 - mmengine - INFO - Iter(train) [133800/480000] base_lr: 1.6440e-04 lr: 4.4105e-05 eta: 8 days, 22:51:36 time: 2.2880 data_time: 0.1346 memory: 25718 grad_norm: 0.9644 loss: 1.3679 grounding_loss_reg: 3.8403 detection_loss_cls: 0.0800 detection_loss_reg: 0.4821 caption_loss_cls: 2.7350 instance_segmentation_loss_cls: 0.0505 instance_segmentation_loss_reg: 0.2566 instance_segmentation_loss_poly: 0.8071 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:32:02 - mmengine - INFO - Iter(train) [133900/480000] base_lr: 1.6435e-04 lr: 4.4092e-05 eta: 8 days, 23:02:34 time: 2.3059 data_time: 0.1346 memory: 26558 grad_norm: 0.9631 loss: 1.3623 grounding_loss_reg: 3.8390 detection_loss_cls: 0.0796 detection_loss_reg: 0.4800 caption_loss_cls: 2.7307 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_reg: 0.2557 instance_segmentation_loss_poly: 0.8047 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:35:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 12:35:46 - mmengine - INFO - Iter(train) [134000/480000] base_lr: 1.6430e-04 lr: 4.4079e-05 eta: 8 days, 22:58:41 time: 2.3183 data_time: 0.1345 memory: 25718 grad_norm: 0.9647 loss: 1.3643 grounding_loss_reg: 3.8389 detection_loss_cls: 0.0796 detection_loss_reg: 0.4803 caption_loss_cls: 2.7288 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_reg: 0.2552 instance_segmentation_loss_poly: 0.8026 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:35:46 - mmengine - INFO - Saving checkpoint at 134000 iterations 2023/10/11 12:40:52 - mmengine - INFO - Iter(train) [134100/480000] base_lr: 1.6426e-04 lr: 4.4066e-05 eta: 9 days, 0:38:08 time: 2.3396 data_time: 0.1340 memory: 26558 grad_norm: 0.9628 loss: 1.3681 grounding_loss_reg: 3.8386 detection_loss_cls: 0.0792 detection_loss_reg: 0.4801 caption_loss_cls: 2.7307 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_reg: 0.2555 instance_segmentation_loss_poly: 0.8036 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:45:07 - mmengine - INFO - Iter(train) [134200/480000] base_lr: 1.6421e-04 lr: 4.4053e-05 eta: 9 days, 1:10:18 time: 2.3575 data_time: 0.1341 memory: 26558 grad_norm: 0.9633 loss: 1.3713 grounding_loss_reg: 3.8378 detection_loss_cls: 0.0787 detection_loss_reg: 0.4786 caption_loss_cls: 2.7316 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2545 instance_segmentation_loss_poly: 0.8022 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:49:50 - mmengine - INFO - Iter(train) [134300/480000] base_lr: 1.6416e-04 lr: 4.4040e-05 eta: 9 days, 2:14:55 time: 2.3827 data_time: 0.1341 memory: 25718 grad_norm: 0.9669 loss: 1.3740 grounding_loss_reg: 3.8366 detection_loss_cls: 0.0785 detection_loss_reg: 0.4777 caption_loss_cls: 2.7323 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2551 instance_segmentation_loss_poly: 0.8033 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:53:33 - mmengine - INFO - Iter(train) [134400/480000] base_lr: 1.6411e-04 lr: 4.4027e-05 eta: 9 days, 2:05:41 time: 2.3892 data_time: 0.1341 memory: 25718 grad_norm: 0.9676 loss: 1.3683 grounding_loss_reg: 3.8359 detection_loss_cls: 0.0781 detection_loss_reg: 0.4764 caption_loss_cls: 2.7276 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.8040 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:56:56 - mmengine - INFO - Iter(train) [134500/480000] base_lr: 1.6406e-04 lr: 4.4014e-05 eta: 9 days, 1:34:03 time: 2.3941 data_time: 0.1341 memory: 25718 grad_norm: 0.9696 loss: 1.3701 grounding_loss_reg: 3.8358 detection_loss_cls: 0.0780 detection_loss_reg: 0.4759 caption_loss_cls: 2.7255 instance_segmentation_loss_cls: 0.0498 instance_segmentation_loss_reg: 0.2562 instance_segmentation_loss_poly: 0.8059 semantic_segmentation_loss_cls: 0.0147 2023/10/11 12:56:56 - mmengine - INFO - Saving checkpoint at 134500 iterations 2023/10/11 13:02:16 - mmengine - INFO - Iter(train) [134600/480000] base_lr: 1.6401e-04 lr: 4.4001e-05 eta: 9 days, 3:16:16 time: 2.4054 data_time: 0.1344 memory: 26558 grad_norm: 0.9663 loss: 1.3637 grounding_loss_reg: 3.8346 detection_loss_cls: 0.0778 detection_loss_reg: 0.4752 caption_loss_cls: 2.7219 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.8090 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:06:35 - mmengine - INFO - Iter(train) [134700/480000] base_lr: 1.6396e-04 lr: 4.3988e-05 eta: 9 days, 3:45:13 time: 2.4253 data_time: 0.1345 memory: 26558 grad_norm: 0.9683 loss: 1.3592 grounding_loss_reg: 3.8358 detection_loss_cls: 0.0778 detection_loss_reg: 0.4759 caption_loss_cls: 2.7177 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.8091 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:10:52 - mmengine - INFO - Iter(train) [134800/480000] base_lr: 1.6391e-04 lr: 4.3976e-05 eta: 9 days, 4:12:33 time: 2.4363 data_time: 0.1345 memory: 26558 grad_norm: 0.9665 loss: 1.3559 grounding_loss_reg: 3.8359 detection_loss_cls: 0.0773 detection_loss_reg: 0.4740 caption_loss_cls: 2.7154 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:14:52 - mmengine - INFO - Iter(train) [134900/480000] base_lr: 1.6386e-04 lr: 4.3963e-05 eta: 9 days, 4:19:30 time: 2.4490 data_time: 0.1345 memory: 26558 grad_norm: 0.9660 loss: 1.3517 grounding_loss_reg: 3.8343 detection_loss_cls: 0.0772 detection_loss_reg: 0.4724 caption_loss_cls: 2.7100 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.8090 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:19:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 13:19:22 - mmengine - INFO - Iter(train) [135000/480000] base_lr: 1.6381e-04 lr: 4.3950e-05 eta: 9 days, 4:57:18 time: 2.4652 data_time: 0.1345 memory: 25718 grad_norm: 0.9613 loss: 1.3455 grounding_loss_reg: 3.8345 detection_loss_cls: 0.0770 detection_loss_reg: 0.4721 caption_loss_cls: 2.7082 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2596 instance_segmentation_loss_poly: 0.8104 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:19:22 - mmengine - INFO - Saving checkpoint at 135000 iterations 2023/10/11 13:24:36 - mmengine - INFO - Iter(train) [135100/480000] base_lr: 1.6376e-04 lr: 4.3937e-05 eta: 9 days, 6:19:17 time: 2.4783 data_time: 0.1344 memory: 26558 grad_norm: 0.9609 loss: 1.3457 grounding_loss_reg: 3.8326 detection_loss_cls: 0.0768 detection_loss_reg: 0.4718 caption_loss_cls: 2.7060 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:28:24 - mmengine - INFO - Iter(train) [135200/480000] base_lr: 1.6371e-04 lr: 4.3924e-05 eta: 9 days, 6:11:17 time: 2.4877 data_time: 0.1343 memory: 26558 grad_norm: 0.9520 loss: 1.3380 grounding_loss_reg: 3.8321 detection_loss_cls: 0.0766 detection_loss_reg: 0.4713 caption_loss_cls: 2.7019 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.8111 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:32:34 - mmengine - INFO - Iter(train) [135300/480000] base_lr: 1.6366e-04 lr: 4.3911e-05 eta: 9 days, 6:24:47 time: 2.4957 data_time: 0.1343 memory: 25718 grad_norm: 0.9505 loss: 1.3398 grounding_loss_reg: 3.8323 detection_loss_cls: 0.0763 detection_loss_reg: 0.4705 caption_loss_cls: 2.6998 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.8118 semantic_segmentation_loss_cls: 0.0147 2023/10/11 13:36:48 - mmengine - INFO - Iter(train) [135400/480000] base_lr: 1.6360e-04 lr: 4.3898e-05 eta: 9 days, 6:42:00 time: 2.5029 data_time: 0.1343 memory: 25718 grad_norm: 0.9491 loss: 1.3360 grounding_loss_reg: 3.8320 detection_loss_cls: 0.0758 detection_loss_reg: 0.4691 caption_loss_cls: 2.6994 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.8111 semantic_segmentation_loss_cls: 0.0146 2023/10/11 13:40:31 - mmengine - INFO - Iter(train) [135500/480000] base_lr: 1.6355e-04 lr: 4.3885e-05 eta: 9 days, 6:28:56 time: 2.5066 data_time: 0.1343 memory: 26558 grad_norm: 0.9499 loss: 1.3373 grounding_loss_reg: 3.8309 detection_loss_cls: 0.0757 detection_loss_reg: 0.4692 caption_loss_cls: 2.7002 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.8121 semantic_segmentation_loss_cls: 0.0146 2023/10/11 13:40:31 - mmengine - INFO - Saving checkpoint at 135500 iterations 2023/10/11 13:45:25 - mmengine - INFO - Iter(train) [135600/480000] base_lr: 1.6350e-04 lr: 4.3872e-05 eta: 9 days, 7:23:31 time: 2.5119 data_time: 0.1342 memory: 26558 grad_norm: 0.9500 loss: 1.3376 grounding_loss_reg: 3.8302 detection_loss_cls: 0.0756 detection_loss_reg: 0.4688 caption_loss_cls: 2.7015 instance_segmentation_loss_cls: 0.0498 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.8135 semantic_segmentation_loss_cls: 0.0143 2023/10/11 13:49:44 - mmengine - INFO - Iter(train) [135700/480000] base_lr: 1.6345e-04 lr: 4.3858e-05 eta: 9 days, 7:43:18 time: 2.5184 data_time: 0.1342 memory: 26558 grad_norm: 0.9466 loss: 1.3319 grounding_loss_reg: 3.8293 detection_loss_cls: 0.0755 detection_loss_reg: 0.4689 caption_loss_cls: 2.6985 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0143 2023/10/11 13:53:51 - mmengine - INFO - Iter(train) [135800/480000] base_lr: 1.6340e-04 lr: 4.3845e-05 eta: 9 days, 7:50:52 time: 2.5258 data_time: 0.1342 memory: 25718 grad_norm: 0.9457 loss: 1.3328 grounding_loss_reg: 3.8282 detection_loss_cls: 0.0751 detection_loss_reg: 0.4659 caption_loss_cls: 2.6920 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0143 2023/10/11 13:57:33 - mmengine - INFO - Iter(train) [135900/480000] base_lr: 1.6335e-04 lr: 4.3832e-05 eta: 9 days, 7:36:13 time: 2.5297 data_time: 0.1342 memory: 26558 grad_norm: 0.9421 loss: 1.3214 grounding_loss_reg: 3.8291 detection_loss_cls: 0.0749 detection_loss_reg: 0.4659 caption_loss_cls: 2.6865 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0143 2023/10/11 14:01:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_092131 2023/10/11 14:01:50 - mmengine - INFO - Iter(train) [136000/480000] base_lr: 1.6330e-04 lr: 4.3819e-05 eta: 9 days, 7:52:33 time: 2.5341 data_time: 0.1343 memory: 25718 grad_norm: 0.9408 loss: 1.3197 grounding_loss_reg: 3.8281 detection_loss_cls: 0.0748 detection_loss_reg: 0.4653 caption_loss_cls: 2.6856 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.8133 semantic_segmentation_loss_cls: 0.0144 2023/10/11 14:01:50 - mmengine - INFO - Saving checkpoint at 136000 iterations 2023/10/11 14:06:47 - mmengine - INFO - Iter(train) [136100/480000] base_lr: 1.6325e-04 lr: 4.3806e-05 eta: 9 days, 8:43:20 time: 2.5378 data_time: 0.1343 memory: 26558 grad_norm: 0.9428 loss: 1.3154 grounding_loss_reg: 3.8284 detection_loss_cls: 0.0746 detection_loss_reg: 0.4646 caption_loss_cls: 2.6855 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.8131 semantic_segmentation_loss_cls: 0.0144 2023/10/11 14:10:49 - mmengine - INFO - Iter(train) [136200/480000] base_lr: 1.6320e-04 lr: 4.3793e-05 eta: 9 days, 8:44:44 time: 2.5397 data_time: 0.1344 memory: 25718 grad_norm: 0.9420 loss: 1.3108 grounding_loss_reg: 3.8277 detection_loss_cls: 0.0742 detection_loss_reg: 0.4632 caption_loss_cls: 2.6807 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2623 instance_segmentation_loss_poly: 0.8135 semantic_segmentation_loss_cls: 0.0144 2023/10/11 14:14:37 - mmengine - INFO - Iter(train) [136300/480000] base_lr: 1.6315e-04 lr: 4.3780e-05 eta: 9 days, 8:34:43 time: 2.5434 data_time: 0.1343 memory: 25718 grad_norm: 0.9335 loss: 1.3079 grounding_loss_reg: 3.8263 detection_loss_cls: 0.0741 detection_loss_reg: 0.4638 caption_loss_cls: 2.6776 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.8133 semantic_segmentation_loss_cls: 0.0144 2023/10/11 14:18:14 - mmengine - INFO - Iter(train) [136400/480000] base_lr: 1.6310e-04 lr: 4.3767e-05 eta: 9 days, 8:15:38 time: 2.5434 data_time: 0.1343 memory: 25718 grad_norm: 0.9392 loss: 1.3158 grounding_loss_reg: 3.8230 detection_loss_cls: 0.0738 detection_loss_reg: 0.4629 caption_loss_cls: 2.6788 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.8122 semantic_segmentation_loss_cls: 0.0144 2023/10/11 15:50:23 - mmengine - INFO - Iter(train) [136500/480000] base_lr: 1.6305e-04 lr: 4.3754e-05 eta: 6 days, 10:50:24 time: 2.4409 data_time: 0.1190 memory: 26633 grad_norm: 0.9585 loss: 1.3350 grounding_loss_reg: 3.8212 detection_loss_cls: 0.0733 detection_loss_reg: 0.4628 caption_loss_cls: 2.6853 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.8201 semantic_segmentation_loss_cls: 0.0144 2023/10/11 15:50:23 - mmengine - INFO - Saving checkpoint at 136500 iterations 2023/10/11 15:54:14 - mmengine - INFO - Iter(train) [136600/480000] base_lr: 1.6300e-04 lr: 4.3741e-05 eta: 6 days, 21:39:40 time: 2.4225 data_time: 0.1193 memory: 25793 grad_norm: 0.9590 loss: 1.3275 grounding_loss_reg: 3.8219 detection_loss_cls: 0.0730 detection_loss_reg: 0.4620 caption_loss_cls: 2.6828 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2663 instance_segmentation_loss_poly: 0.8199 semantic_segmentation_loss_cls: 0.0143 2023/10/11 15:57:24 - mmengine - INFO - Iter(train) [136700/480000] base_lr: 1.6295e-04 lr: 4.3728e-05 eta: 6 days, 23:51:50 time: 2.4140 data_time: 0.1192 memory: 25793 grad_norm: 0.9562 loss: 1.3154 grounding_loss_reg: 3.8208 detection_loss_cls: 0.0720 detection_loss_reg: 0.4581 caption_loss_cls: 2.6807 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2661 instance_segmentation_loss_poly: 0.8195 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:00:37 - mmengine - INFO - Iter(train) [136800/480000] base_lr: 1.6290e-04 lr: 4.3715e-05 eta: 7 days, 1:52:44 time: 2.3963 data_time: 0.1192 memory: 25793 grad_norm: 0.9573 loss: 1.3144 grounding_loss_reg: 3.8204 detection_loss_cls: 0.0724 detection_loss_reg: 0.4581 caption_loss_cls: 2.6797 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.8183 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:03:58 - mmengine - INFO - Iter(train) [136900/480000] base_lr: 1.6285e-04 lr: 4.3702e-05 eta: 7 days, 4:11:15 time: 2.3910 data_time: 0.1192 memory: 25793 grad_norm: 0.9588 loss: 1.3106 grounding_loss_reg: 3.8184 detection_loss_cls: 0.0722 detection_loss_reg: 0.4572 caption_loss_cls: 2.6753 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2667 instance_segmentation_loss_poly: 0.8199 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:07:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_151046 2023/10/11 16:07:04 - mmengine - INFO - Iter(train) [137000/480000] base_lr: 1.6280e-04 lr: 4.3688e-05 eta: 7 days, 4:39:01 time: 2.3741 data_time: 0.1192 memory: 25793 grad_norm: 0.9644 loss: 1.3246 grounding_loss_reg: 3.8184 detection_loss_cls: 0.0723 detection_loss_reg: 0.4578 caption_loss_cls: 2.6772 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.8199 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:07:04 - mmengine - INFO - Saving checkpoint at 137000 iterations 2023/10/11 16:11:54 - mmengine - INFO - Iter(train) [137100/480000] base_lr: 1.6275e-04 lr: 4.3675e-05 eta: 7 days, 13:58:54 time: 2.3770 data_time: 0.1193 memory: 26633 grad_norm: 0.9605 loss: 1.3233 grounding_loss_reg: 3.8175 detection_loss_cls: 0.0724 detection_loss_reg: 0.4586 caption_loss_cls: 2.6793 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2678 instance_segmentation_loss_poly: 0.8224 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:14:59 - mmengine - INFO - Iter(train) [137200/480000] base_lr: 1.6270e-04 lr: 4.3662e-05 eta: 7 days, 13:29:52 time: 2.3581 data_time: 0.1193 memory: 25793 grad_norm: 0.9662 loss: 1.3321 grounding_loss_reg: 3.8188 detection_loss_cls: 0.0722 detection_loss_reg: 0.4571 caption_loss_cls: 2.6757 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.8216 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:18:42 - mmengine - INFO - Iter(train) [137300/480000] base_lr: 1.6265e-04 lr: 4.3649e-05 eta: 7 days, 15:48:20 time: 2.3495 data_time: 0.1193 memory: 25793 grad_norm: 0.9663 loss: 1.3293 grounding_loss_reg: 3.8180 detection_loss_cls: 0.0719 detection_loss_reg: 0.4555 caption_loss_cls: 2.6731 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.8217 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:21:57 - mmengine - INFO - Iter(train) [137400/480000] base_lr: 1.6260e-04 lr: 4.3636e-05 eta: 7 days, 15:54:02 time: 2.3388 data_time: 0.1192 memory: 25793 grad_norm: 0.9716 loss: 1.3215 grounding_loss_reg: 3.8195 detection_loss_cls: 0.0716 detection_loss_reg: 0.4550 caption_loss_cls: 2.6731 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.8215 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:25:34 - mmengine - INFO - Iter(train) [137500/480000] base_lr: 1.6254e-04 lr: 4.3623e-05 eta: 7 days, 17:18:40 time: 2.3312 data_time: 0.1192 memory: 26633 grad_norm: 0.9745 loss: 1.3130 grounding_loss_reg: 3.8182 detection_loss_cls: 0.0712 detection_loss_reg: 0.4528 caption_loss_cls: 2.6672 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.8222 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:25:34 - mmengine - INFO - Saving checkpoint at 137500 iterations 2023/10/11 16:29:59 - mmengine - INFO - Iter(train) [137600/480000] base_lr: 1.6249e-04 lr: 4.3610e-05 eta: 7 days, 21:24:53 time: 2.3217 data_time: 0.1188 memory: 25793 grad_norm: 0.9716 loss: 1.3065 grounding_loss_reg: 3.8180 detection_loss_cls: 0.0711 detection_loss_reg: 0.4522 caption_loss_cls: 2.6658 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0144 2023/10/11 16:33:12 - mmengine - INFO - Iter(train) [137700/480000] base_lr: 1.6244e-04 lr: 4.3596e-05 eta: 7 days, 21:01:35 time: 2.3047 data_time: 0.1187 memory: 26633 grad_norm: 0.9769 loss: 1.3068 grounding_loss_reg: 3.8190 detection_loss_cls: 0.0707 detection_loss_reg: 0.4507 caption_loss_cls: 2.6656 instance_segmentation_loss_cls: 0.0489 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:36:47 - mmengine - INFO - Iter(train) [137800/480000] base_lr: 1.6239e-04 lr: 4.3583e-05 eta: 7 days, 21:50:20 time: 2.3041 data_time: 0.1188 memory: 26633 grad_norm: 0.9758 loss: 1.3014 grounding_loss_reg: 3.8189 detection_loss_cls: 0.0701 detection_loss_reg: 0.4485 caption_loss_cls: 2.6627 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.8207 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:40:31 - mmengine - INFO - Iter(train) [137900/480000] base_lr: 1.6234e-04 lr: 4.3570e-05 eta: 7 days, 23:00:13 time: 2.3015 data_time: 0.1188 memory: 25793 grad_norm: 0.9747 loss: 1.3005 grounding_loss_reg: 3.8184 detection_loss_cls: 0.0697 detection_loss_reg: 0.4469 caption_loss_cls: 2.6629 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.8217 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:43:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_151046 2023/10/11 16:43:58 - mmengine - INFO - Iter(train) [138000/480000] base_lr: 1.6229e-04 lr: 4.3557e-05 eta: 7 days, 23:12:43 time: 2.2972 data_time: 0.1188 memory: 25793 grad_norm: 0.9763 loss: 1.3002 grounding_loss_reg: 3.8186 detection_loss_cls: 0.0697 detection_loss_reg: 0.4466 caption_loss_cls: 2.6604 instance_segmentation_loss_cls: 0.0490 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.8211 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:43:58 - mmengine - INFO - Saving checkpoint at 138000 iterations 2023/10/11 16:48:34 - mmengine - INFO - Iter(train) [138100/480000] base_lr: 1.6224e-04 lr: 4.3544e-05 eta: 8 days, 2:32:09 time: 2.2897 data_time: 0.1190 memory: 26633 grad_norm: 0.9776 loss: 1.2960 grounding_loss_reg: 3.8180 detection_loss_cls: 0.0695 detection_loss_reg: 0.4457 caption_loss_cls: 2.6612 instance_segmentation_loss_cls: 0.0490 instance_segmentation_loss_reg: 0.2686 instance_segmentation_loss_poly: 0.8220 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:52:21 - mmengine - INFO - Iter(train) [138200/480000] base_lr: 1.6219e-04 lr: 4.3530e-05 eta: 8 days, 3:27:27 time: 2.2829 data_time: 0.1190 memory: 25793 grad_norm: 0.9827 loss: 1.2907 grounding_loss_reg: 3.8189 detection_loss_cls: 0.0694 detection_loss_reg: 0.4447 caption_loss_cls: 2.6577 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.8214 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:56:01 - mmengine - INFO - Iter(train) [138300/480000] base_lr: 1.6214e-04 lr: 4.3517e-05 eta: 8 days, 3:59:18 time: 2.2672 data_time: 0.1189 memory: 25793 grad_norm: 0.9841 loss: 1.2906 grounding_loss_reg: 3.8188 detection_loss_cls: 0.0691 detection_loss_reg: 0.4438 caption_loss_cls: 2.6565 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.8224 semantic_segmentation_loss_cls: 0.0143 2023/10/11 16:59:44 - mmengine - INFO - Iter(train) [138400/480000] base_lr: 1.6209e-04 lr: 4.3504e-05 eta: 8 days, 4:34:00 time: 2.2671 data_time: 0.1190 memory: 25793 grad_norm: 0.9904 loss: 1.2984 grounding_loss_reg: 3.8182 detection_loss_cls: 0.0691 detection_loss_reg: 0.4445 caption_loss_cls: 2.6566 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.8220 semantic_segmentation_loss_cls: 0.0143 2023/10/11 17:03:43 - mmengine - INFO - Iter(train) [138500/480000] base_lr: 1.6204e-04 lr: 4.3491e-05 eta: 8 days, 5:42:15 time: 2.2761 data_time: 0.1189 memory: 25793 grad_norm: 0.9846 loss: 1.2901 grounding_loss_reg: 3.8182 detection_loss_cls: 0.0683 detection_loss_reg: 0.4415 caption_loss_cls: 2.6550 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.8229 semantic_segmentation_loss_cls: 0.0143 2023/10/11 17:03:43 - mmengine - INFO - Saving checkpoint at 138500 iterations 2023/10/11 17:08:25 - mmengine - INFO - Iter(train) [138600/480000] base_lr: 1.6199e-04 lr: 4.3478e-05 eta: 8 days, 8:19:45 time: 2.2664 data_time: 0.1187 memory: 26633 grad_norm: 0.9906 loss: 1.3036 grounding_loss_reg: 3.8174 detection_loss_cls: 0.0680 detection_loss_reg: 0.4408 caption_loss_cls: 2.6593 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.8239 semantic_segmentation_loss_cls: 0.0143 2023/10/11 17:12:31 - mmengine - INFO - Iter(train) [138700/480000] base_lr: 1.6193e-04 lr: 4.3464e-05 eta: 8 days, 9:29:31 time: 2.2634 data_time: 0.1187 memory: 26633 grad_norm: 0.9883 loss: 1.3077 grounding_loss_reg: 3.8167 detection_loss_cls: 0.0678 detection_loss_reg: 0.4413 caption_loss_cls: 2.6608 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.8234 semantic_segmentation_loss_cls: 0.0143 2023/10/11 17:16:05 - mmengine - INFO - Iter(train) [138800/480000] base_lr: 1.6188e-04 lr: 4.3451e-05 eta: 8 days, 9:28:20 time: 2.2523 data_time: 0.1187 memory: 26633 grad_norm: 0.9989 loss: 1.3161 grounding_loss_reg: 3.8132 detection_loss_cls: 0.0675 detection_loss_reg: 0.4408 caption_loss_cls: 2.6631 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.8223 semantic_segmentation_loss_cls: 0.0143 2023/10/11 17:19:51 - mmengine - INFO - Iter(train) [138900/480000] base_lr: 1.6183e-04 lr: 4.3438e-05 eta: 8 days, 9:52:50 time: 2.2491 data_time: 0.1187 memory: 25793 grad_norm: 0.9949 loss: 1.3180 grounding_loss_reg: 3.8135 detection_loss_cls: 0.0672 detection_loss_reg: 0.4391 caption_loss_cls: 2.6675 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.8241 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:23:59 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_151046 2023/10/11 17:23:59 - mmengine - INFO - Iter(train) [139000/480000] base_lr: 1.6178e-04 lr: 4.3425e-05 eta: 8 days, 10:55:15 time: 2.2437 data_time: 0.1187 memory: 25793 grad_norm: 0.9996 loss: 1.3213 grounding_loss_reg: 3.8134 detection_loss_cls: 0.0671 detection_loss_reg: 0.4391 caption_loss_cls: 2.6626 instance_segmentation_loss_cls: 0.0479 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.8228 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:23:59 - mmengine - INFO - Saving checkpoint at 139000 iterations 2023/10/11 17:29:05 - mmengine - INFO - Iter(train) [139100/480000] base_lr: 1.6173e-04 lr: 4.3411e-05 eta: 8 days, 13:38:48 time: 2.2415 data_time: 0.1192 memory: 25793 grad_norm: 1.0067 loss: 1.3226 grounding_loss_reg: 3.8115 detection_loss_cls: 0.0669 detection_loss_reg: 0.4390 caption_loss_cls: 2.6618 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.8197 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:32:51 - mmengine - INFO - Iter(train) [139200/480000] base_lr: 1.6168e-04 lr: 4.3398e-05 eta: 8 days, 13:51:45 time: 2.2411 data_time: 0.1192 memory: 26633 grad_norm: 1.0090 loss: 1.3231 grounding_loss_reg: 3.8083 detection_loss_cls: 0.0662 detection_loss_reg: 0.4356 caption_loss_cls: 2.6560 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2664 instance_segmentation_loss_poly: 0.8167 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:37:18 - mmengine - INFO - Iter(train) [139300/480000] base_lr: 1.6163e-04 lr: 4.3385e-05 eta: 8 days, 15:13:00 time: 2.2454 data_time: 0.1192 memory: 26633 grad_norm: 1.0120 loss: 1.3247 grounding_loss_reg: 3.8087 detection_loss_cls: 0.0662 detection_loss_reg: 0.4359 caption_loss_cls: 2.6524 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.2670 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:41:04 - mmengine - INFO - Iter(train) [139400/480000] base_lr: 1.6158e-04 lr: 4.3372e-05 eta: 8 days, 15:20:21 time: 2.2383 data_time: 0.1192 memory: 26633 grad_norm: 1.0180 loss: 1.3260 grounding_loss_reg: 3.8069 detection_loss_cls: 0.0659 detection_loss_reg: 0.4353 caption_loss_cls: 2.6500 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.8185 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:45:18 - mmengine - INFO - Iter(train) [139500/480000] base_lr: 1.6152e-04 lr: 4.3358e-05 eta: 8 days, 16:13:01 time: 2.2460 data_time: 0.1192 memory: 26633 grad_norm: 1.0183 loss: 1.3237 grounding_loss_reg: 3.8052 detection_loss_cls: 0.0658 detection_loss_reg: 0.4346 caption_loss_cls: 2.6462 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2678 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:45:18 - mmengine - INFO - Saving checkpoint at 139500 iterations 2023/10/11 17:50:01 - mmengine - INFO - Iter(train) [139600/480000] base_lr: 1.6147e-04 lr: 4.3345e-05 eta: 8 days, 17:49:07 time: 2.2433 data_time: 0.1195 memory: 25793 grad_norm: 1.0278 loss: 1.3327 grounding_loss_reg: 3.8038 detection_loss_cls: 0.0658 detection_loss_reg: 0.4347 caption_loss_cls: 2.6461 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.8201 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:54:30 - mmengine - INFO - Iter(train) [139700/480000] base_lr: 1.6142e-04 lr: 4.3332e-05 eta: 8 days, 18:57:56 time: 2.2458 data_time: 0.1195 memory: 26633 grad_norm: 1.0270 loss: 1.3331 grounding_loss_reg: 3.8044 detection_loss_cls: 0.0658 detection_loss_reg: 0.4348 caption_loss_cls: 2.6471 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.8210 semantic_segmentation_loss_cls: 0.0142 2023/10/11 17:58:42 - mmengine - INFO - Iter(train) [139800/480000] base_lr: 1.6137e-04 lr: 4.3318e-05 eta: 8 days, 19:36:32 time: 2.2470 data_time: 0.1195 memory: 25793 grad_norm: 1.0266 loss: 1.3355 grounding_loss_reg: 3.8039 detection_loss_cls: 0.0655 detection_loss_reg: 0.4343 caption_loss_cls: 2.6439 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.8211 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:02:24 - mmengine - INFO - Iter(train) [139900/480000] base_lr: 1.6132e-04 lr: 4.3305e-05 eta: 8 days, 19:30:32 time: 2.2471 data_time: 0.1195 memory: 26633 grad_norm: 1.0288 loss: 1.3409 grounding_loss_reg: 3.8020 detection_loss_cls: 0.0650 detection_loss_reg: 0.4324 caption_loss_cls: 2.6475 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.8213 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:06:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_151046 2023/10/11 18:06:31 - mmengine - INFO - Iter(train) [140000/480000] base_lr: 1.6127e-04 lr: 4.3292e-05 eta: 8 days, 19:59:17 time: 2.2446 data_time: 0.1194 memory: 26633 grad_norm: 1.0338 loss: 1.3481 grounding_loss_reg: 3.8020 detection_loss_cls: 0.0650 detection_loss_reg: 0.4322 caption_loss_cls: 2.6453 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.8233 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:06:31 - mmengine - INFO - Saving checkpoint at 140000 iterations 2023/10/11 18:11:34 - mmengine - INFO - Iter(train) [140100/480000] base_lr: 1.6122e-04 lr: 4.3278e-05 eta: 8 days, 21:44:02 time: 2.2836 data_time: 0.1353 memory: 26633 grad_norm: 1.0295 loss: 1.3420 grounding_loss_reg: 3.8001 detection_loss_cls: 0.0642 detection_loss_reg: 0.4286 caption_loss_cls: 2.6445 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.8222 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:15:52 - mmengine - INFO - Iter(train) [140200/480000] base_lr: 1.6117e-04 lr: 4.3265e-05 eta: 8 days, 22:22:06 time: 2.3096 data_time: 0.1354 memory: 26633 grad_norm: 1.0286 loss: 1.3416 grounding_loss_reg: 3.7987 detection_loss_cls: 0.0640 detection_loss_reg: 0.4273 caption_loss_cls: 2.6400 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.8232 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:19:24 - mmengine - INFO - Iter(train) [140300/480000] base_lr: 1.6111e-04 lr: 4.3252e-05 eta: 8 days, 21:59:06 time: 2.3227 data_time: 0.1353 memory: 25793 grad_norm: 1.0301 loss: 1.3457 grounding_loss_reg: 3.7980 detection_loss_cls: 0.0635 detection_loss_reg: 0.4261 caption_loss_cls: 2.6421 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.8237 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:23:18 - mmengine - INFO - Iter(train) [140400/480000] base_lr: 1.6106e-04 lr: 4.3238e-05 eta: 8 days, 22:04:42 time: 2.3392 data_time: 0.1353 memory: 26633 grad_norm: 1.0305 loss: 1.3461 grounding_loss_reg: 3.7983 detection_loss_cls: 0.0634 detection_loss_reg: 0.4263 caption_loss_cls: 2.6400 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.8256 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:27:21 - mmengine - INFO - Iter(train) [140500/480000] base_lr: 1.6101e-04 lr: 4.3225e-05 eta: 8 days, 22:20:56 time: 2.3542 data_time: 0.1352 memory: 25793 grad_norm: 1.0317 loss: 1.3494 grounding_loss_reg: 3.7977 detection_loss_cls: 0.0633 detection_loss_reg: 0.4254 caption_loss_cls: 2.6420 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8272 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:27:21 - mmengine - INFO - Saving checkpoint at 140500 iterations 2023/10/11 18:32:35 - mmengine - INFO - Iter(train) [140600/480000] base_lr: 1.6096e-04 lr: 4.3212e-05 eta: 9 days, 0:04:07 time: 2.3751 data_time: 0.1348 memory: 26633 grad_norm: 1.0281 loss: 1.3452 grounding_loss_reg: 3.7979 detection_loss_cls: 0.0629 detection_loss_reg: 0.4246 caption_loss_cls: 2.6387 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.8263 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:36:48 - mmengine - INFO - Iter(train) [140700/480000] base_lr: 1.6091e-04 lr: 4.3198e-05 eta: 9 days, 0:27:52 time: 2.3906 data_time: 0.1348 memory: 26633 grad_norm: 1.0286 loss: 1.3499 grounding_loss_reg: 3.7980 detection_loss_cls: 0.0627 detection_loss_reg: 0.4246 caption_loss_cls: 2.6364 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.8245 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:41:20 - mmengine - INFO - Iter(train) [140800/480000] base_lr: 1.6086e-04 lr: 4.3185e-05 eta: 9 days, 1:13:46 time: 2.4102 data_time: 0.1349 memory: 25793 grad_norm: 1.0304 loss: 1.3485 grounding_loss_reg: 3.7980 detection_loss_cls: 0.0623 detection_loss_reg: 0.4229 caption_loss_cls: 2.6335 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.8229 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:44:59 - mmengine - INFO - Iter(train) [140900/480000] base_lr: 1.6080e-04 lr: 4.3171e-05 eta: 9 days, 0:57:13 time: 2.4150 data_time: 0.1348 memory: 25793 grad_norm: 1.0327 loss: 1.3557 grounding_loss_reg: 3.7985 detection_loss_cls: 0.0620 detection_loss_reg: 0.4211 caption_loss_cls: 2.6332 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.8230 semantic_segmentation_loss_cls: 0.0143 2023/10/11 18:48:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_151046 2023/10/11 18:48:31 - mmengine - INFO - Iter(train) [141000/480000] base_lr: 1.6075e-04 lr: 4.3158e-05 eta: 9 days, 0:32:32 time: 2.4214 data_time: 0.1347 memory: 25793 grad_norm: 1.0319 loss: 1.3479 grounding_loss_reg: 3.7988 detection_loss_cls: 0.0618 detection_loss_reg: 0.4203 caption_loss_cls: 2.6258 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.8242 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:48:31 - mmengine - INFO - Saving checkpoint at 141000 iterations 2023/10/11 18:53:48 - mmengine - INFO - Iter(train) [141100/480000] base_lr: 1.6070e-04 lr: 4.3145e-05 eta: 9 days, 2:04:46 time: 2.4282 data_time: 0.1349 memory: 26633 grad_norm: 1.0296 loss: 1.3399 grounding_loss_reg: 3.7980 detection_loss_cls: 0.0615 detection_loss_reg: 0.4196 caption_loss_cls: 2.6209 instance_segmentation_loss_cls: 0.0462 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.8245 semantic_segmentation_loss_cls: 0.0142 2023/10/11 18:58:11 - mmengine - INFO - Iter(train) [141200/480000] base_lr: 1.6065e-04 lr: 4.3131e-05 eta: 9 days, 2:34:41 time: 2.4475 data_time: 0.1349 memory: 26633 grad_norm: 1.0323 loss: 1.3391 grounding_loss_reg: 3.7959 detection_loss_cls: 0.0612 detection_loss_reg: 0.4187 caption_loss_cls: 2.6212 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.8249 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:02:32 - mmengine - INFO - Iter(train) [141300/480000] base_lr: 1.6060e-04 lr: 4.3118e-05 eta: 9 days, 3:01:34 time: 2.4571 data_time: 0.1350 memory: 26633 grad_norm: 1.0324 loss: 1.3407 grounding_loss_reg: 3.7953 detection_loss_cls: 0.0608 detection_loss_reg: 0.4169 caption_loss_cls: 2.6209 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.8266 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:06:38 - mmengine - INFO - Iter(train) [141400/480000] base_lr: 1.6055e-04 lr: 4.3104e-05 eta: 9 days, 3:11:45 time: 2.4698 data_time: 0.1350 memory: 26633 grad_norm: 1.0291 loss: 1.3395 grounding_loss_reg: 3.7937 detection_loss_cls: 0.0604 detection_loss_reg: 0.4151 caption_loss_cls: 2.6269 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.8247 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:11:24 - mmengine - INFO - Iter(train) [141500/480000] base_lr: 1.6049e-04 lr: 4.3091e-05 eta: 9 days, 4:01:56 time: 2.4872 data_time: 0.1350 memory: 25793 grad_norm: 1.0242 loss: 1.3402 grounding_loss_reg: 3.7919 detection_loss_cls: 0.0601 detection_loss_reg: 0.4135 caption_loss_cls: 2.6306 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.8251 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:11:24 - mmengine - INFO - Saving checkpoint at 141500 iterations 2023/10/11 19:16:37 - mmengine - INFO - Iter(train) [141600/480000] base_lr: 1.6044e-04 lr: 4.3078e-05 eta: 9 days, 5:18:01 time: 2.4994 data_time: 0.1356 memory: 26633 grad_norm: 1.0236 loss: 1.3351 grounding_loss_reg: 3.7909 detection_loss_cls: 0.0598 detection_loss_reg: 0.4127 caption_loss_cls: 2.6304 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.8249 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:20:33 - mmengine - INFO - Iter(train) [141700/480000] base_lr: 1.6039e-04 lr: 4.3064e-05 eta: 9 days, 5:14:24 time: 2.5100 data_time: 0.1355 memory: 26633 grad_norm: 1.0227 loss: 1.3306 grounding_loss_reg: 3.7882 detection_loss_cls: 0.0594 detection_loss_reg: 0.4117 caption_loss_cls: 2.6238 instance_segmentation_loss_cls: 0.0462 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8240 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:24:46 - mmengine - INFO - Iter(train) [141800/480000] base_lr: 1.6034e-04 lr: 4.3051e-05 eta: 9 days, 5:27:40 time: 2.5195 data_time: 0.1355 memory: 25793 grad_norm: 1.0209 loss: 1.3296 grounding_loss_reg: 3.7876 detection_loss_cls: 0.0595 detection_loss_reg: 0.4121 caption_loss_cls: 2.6217 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8232 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:29:11 - mmengine - INFO - Iter(train) [141900/480000] base_lr: 1.6029e-04 lr: 4.3037e-05 eta: 9 days, 5:51:24 time: 2.5296 data_time: 0.1356 memory: 25793 grad_norm: 1.0197 loss: 1.3313 grounding_loss_reg: 3.7866 detection_loss_cls: 0.0588 detection_loss_reg: 0.4101 caption_loss_cls: 2.6217 instance_segmentation_loss_cls: 0.0462 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.8263 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:32:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231011_151046 2023/10/11 19:32:56 - mmengine - INFO - Iter(train) [142000/480000] base_lr: 1.6023e-04 lr: 4.3024e-05 eta: 9 days, 5:37:01 time: 2.5342 data_time: 0.1355 memory: 26633 grad_norm: 1.0202 loss: 1.3308 grounding_loss_reg: 3.7854 detection_loss_cls: 0.0585 detection_loss_reg: 0.4087 caption_loss_cls: 2.6173 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.8274 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:32:56 - mmengine - INFO - Saving checkpoint at 142000 iterations 2023/10/11 19:37:56 - mmengine - INFO - Iter(train) [142100/480000] base_lr: 1.6018e-04 lr: 4.3010e-05 eta: 9 days, 6:31:48 time: 2.5402 data_time: 0.1359 memory: 26633 grad_norm: 1.0194 loss: 1.3295 grounding_loss_reg: 3.7843 detection_loss_cls: 0.0582 detection_loss_reg: 0.4068 caption_loss_cls: 2.6166 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.2753 instance_segmentation_loss_poly: 0.8282 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:42:22 - mmengine - INFO - Iter(train) [142200/480000] base_lr: 1.6013e-04 lr: 4.2997e-05 eta: 9 days, 6:54:18 time: 2.5498 data_time: 0.1359 memory: 26633 grad_norm: 1.0144 loss: 1.3302 grounding_loss_reg: 3.7837 detection_loss_cls: 0.0578 detection_loss_reg: 0.4048 caption_loss_cls: 2.6120 instance_segmentation_loss_cls: 0.0462 instance_segmentation_loss_reg: 0.2753 instance_segmentation_loss_poly: 0.8272 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:46:43 - mmengine - INFO - Iter(train) [142300/480000] base_lr: 1.6008e-04 lr: 4.2983e-05 eta: 9 days, 7:10:57 time: 2.5600 data_time: 0.1360 memory: 25793 grad_norm: 1.0136 loss: 1.3287 grounding_loss_reg: 3.7828 detection_loss_cls: 0.0570 detection_loss_reg: 0.4004 caption_loss_cls: 2.6114 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.2755 instance_segmentation_loss_poly: 0.8280 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:50:29 - mmengine - INFO - Iter(train) [142400/480000] base_lr: 1.6003e-04 lr: 4.2970e-05 eta: 9 days, 6:56:56 time: 2.5609 data_time: 0.1360 memory: 26633 grad_norm: 1.0101 loss: 1.3244 grounding_loss_reg: 3.7823 detection_loss_cls: 0.0568 detection_loss_reg: 0.3998 caption_loss_cls: 2.6161 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.8280 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:54:53 - mmengine - INFO - Iter(train) [142500/480000] base_lr: 1.5997e-04 lr: 4.2956e-05 eta: 9 days, 7:15:20 time: 2.5672 data_time: 0.1361 memory: 25793 grad_norm: 1.0072 loss: 1.3253 grounding_loss_reg: 3.7812 detection_loss_cls: 0.0565 detection_loss_reg: 0.3997 caption_loss_cls: 2.6122 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.8305 semantic_segmentation_loss_cls: 0.0142 2023/10/11 19:54:53 - mmengine - INFO - Saving checkpoint at 142500 iterations 2023/10/11 19:59:47 - mmengine - INFO - Iter(train) [142600/480000] base_lr: 1.5992e-04 lr: 4.2943e-05 eta: 9 days, 7:59:20 time: 2.5703 data_time: 0.1365 memory: 26633 grad_norm: 1.0093 loss: 1.3150 grounding_loss_reg: 3.7800 detection_loss_cls: 0.0562 detection_loss_reg: 0.3990 caption_loss_cls: 2.6090 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.8281 semantic_segmentation_loss_cls: 0.0142 2023/10/11 20:03:45 - mmengine - INFO - Iter(train) [142700/480000] base_lr: 1.5987e-04 lr: 4.2929e-05 eta: 9 days, 7:54:14 time: 2.5682 data_time: 0.1364 memory: 25793 grad_norm: 1.0093 loss: 1.3094 grounding_loss_reg: 3.7787 detection_loss_cls: 0.0559 detection_loss_reg: 0.3975 caption_loss_cls: 2.6098 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.8290 semantic_segmentation_loss_cls: 0.0142 2023/10/11 20:07:44 - mmengine - INFO - Iter(train) [142800/480000] base_lr: 1.5982e-04 lr: 4.2916e-05 eta: 9 days, 7:50:06 time: 2.5745 data_time: 0.1364 memory: 25793 grad_norm: 1.0020 loss: 1.3055 grounding_loss_reg: 3.7770 detection_loss_cls: 0.0558 detection_loss_reg: 0.3964 caption_loss_cls: 2.6118 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.8280 semantic_segmentation_loss_cls: 0.0142 2023/10/12 01:59:21 - mmengine - INFO - Iter(train) [142900/480000] base_lr: 1.5977e-04 lr: 4.2902e-05 eta: 6 days, 2:35:45 time: 2.4816 data_time: 0.1210 memory: 25793 grad_norm: 1.0129 loss: 1.3220 grounding_loss_reg: 3.7765 detection_loss_cls: 0.0557 detection_loss_reg: 0.3976 caption_loss_cls: 2.6071 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.2786 instance_segmentation_loss_poly: 0.8325 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:02:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20231012_012318 2023/10/12 02:02:36 - mmengine - INFO - Iter(train) [143000/480000] base_lr: 1.5971e-04 lr: 4.2889e-05 eta: 6 days, 9:48:25 time: 2.4684 data_time: 0.1210 memory: 26631 grad_norm: 1.0115 loss: 1.3183 grounding_loss_reg: 3.7753 detection_loss_cls: 0.0553 detection_loss_reg: 0.3959 caption_loss_cls: 2.6050 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.2789 instance_segmentation_loss_poly: 0.8321 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:02:36 - mmengine - INFO - Saving checkpoint at 143000 iterations 2023/10/12 02:06:21 - mmengine - INFO - Iter(train) [143100/480000] base_lr: 1.5966e-04 lr: 4.2875e-05 eta: 6 days, 19:13:40 time: 2.4483 data_time: 0.1211 memory: 25793 grad_norm: 1.0101 loss: 1.3217 grounding_loss_reg: 3.7760 detection_loss_cls: 0.0553 detection_loss_reg: 0.3963 caption_loss_cls: 2.6027 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.2788 instance_segmentation_loss_poly: 0.8319 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:09:34 - mmengine - INFO - Iter(train) [143200/480000] base_lr: 1.5961e-04 lr: 4.2862e-05 eta: 6 days, 21:32:53 time: 2.4397 data_time: 0.1211 memory: 25793 grad_norm: 1.0055 loss: 1.3195 grounding_loss_reg: 3.7759 detection_loss_cls: 0.0554 detection_loss_reg: 0.3964 caption_loss_cls: 2.6027 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_reg: 0.2787 instance_segmentation_loss_poly: 0.8320 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:12:42 - mmengine - INFO - Iter(train) [143300/480000] base_lr: 1.5956e-04 lr: 4.2848e-05 eta: 6 days, 22:51:48 time: 2.4202 data_time: 0.1211 memory: 25793 grad_norm: 1.0045 loss: 1.3194 grounding_loss_reg: 3.7763 detection_loss_cls: 0.0554 detection_loss_reg: 0.3959 caption_loss_cls: 2.6013 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.2789 instance_segmentation_loss_poly: 0.8323 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:15:58 - mmengine - INFO - Iter(train) [143400/480000] base_lr: 1.5951e-04 lr: 4.2835e-05 eta: 7 days, 0:36:56 time: 2.4128 data_time: 0.1211 memory: 25793 grad_norm: 1.0028 loss: 1.3263 grounding_loss_reg: 3.7754 detection_loss_cls: 0.0555 detection_loss_reg: 0.3960 caption_loss_cls: 2.6012 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.8354 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:19:04 - mmengine - INFO - Iter(train) [143500/480000] base_lr: 1.5945e-04 lr: 4.2821e-05 eta: 7 days, 1:03:19 time: 2.3957 data_time: 0.1211 memory: 25793 grad_norm: 1.0069 loss: 1.3345 grounding_loss_reg: 3.7755 detection_loss_cls: 0.0554 detection_loss_reg: 0.3967 caption_loss_cls: 2.6012 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.8376 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:19:04 - mmengine - INFO - Saving checkpoint at 143500 iterations 2023/10/12 02:23:46 - mmengine - INFO - Iter(train) [143600/480000] base_lr: 1.5940e-04 lr: 4.2808e-05 eta: 7 days, 9:38:05 time: 2.3954 data_time: 0.1206 memory: 26631 grad_norm: 1.0022 loss: 1.3290 grounding_loss_reg: 3.7754 detection_loss_cls: 0.0555 detection_loss_reg: 0.3973 caption_loss_cls: 2.6043 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.8368 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:27:01 - mmengine - INFO - Iter(train) [143700/480000] base_lr: 1.5935e-04 lr: 4.2794e-05 eta: 7 days, 9:57:09 time: 2.3768 data_time: 0.1206 memory: 25793 grad_norm: 1.0062 loss: 1.3308 grounding_loss_reg: 3.7767 detection_loss_cls: 0.0554 detection_loss_reg: 0.3973 caption_loss_cls: 2.6020 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.8379 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:30:43 - mmengine - INFO - Iter(train) [143800/480000] base_lr: 1.5930e-04 lr: 4.2780e-05 eta: 7 days, 12:10:52 time: 2.3695 data_time: 0.1206 memory: 25793 grad_norm: 1.0053 loss: 1.3255 grounding_loss_reg: 3.7776 detection_loss_cls: 0.0556 detection_loss_reg: 0.3975 caption_loss_cls: 2.6023 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.8382 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:34:07 - mmengine - INFO - Iter(train) [143900/480000] base_lr: 1.5924e-04 lr: 4.2767e-05 eta: 7 days, 12:49:54 time: 2.3648 data_time: 0.1206 memory: 25793 grad_norm: 1.0058 loss: 1.3290 grounding_loss_reg: 3.7792 detection_loss_cls: 0.0556 detection_loss_reg: 0.3979 caption_loss_cls: 2.6012 instance_segmentation_loss_cls: 0.0455 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.8383 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:37:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231012_012318 2023/10/12 02:37:43 - mmengine - INFO - Iter(train) [144000/480000] base_lr: 1.5919e-04 lr: 4.2753e-05 eta: 7 days, 14:10:53 time: 2.3572 data_time: 0.1207 memory: 26631 grad_norm: 1.0077 loss: 1.3330 grounding_loss_reg: 3.7795 detection_loss_cls: 0.0554 detection_loss_reg: 0.3972 caption_loss_cls: 2.5987 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.8409 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:37:43 - mmengine - INFO - Saving checkpoint at 144000 iterations 2023/10/12 02:42:16 - mmengine - INFO - Iter(train) [144100/480000] base_lr: 1.5914e-04 lr: 4.2740e-05 eta: 7 days, 18:41:14 time: 2.3498 data_time: 0.1198 memory: 25793 grad_norm: 1.0014 loss: 1.3237 grounding_loss_reg: 3.7794 detection_loss_cls: 0.0553 detection_loss_reg: 0.3967 caption_loss_cls: 2.5976 instance_segmentation_loss_cls: 0.0454 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:45:46 - mmengine - INFO - Iter(train) [144200/480000] base_lr: 1.5909e-04 lr: 4.2726e-05 eta: 7 days, 19:07:29 time: 2.3377 data_time: 0.1198 memory: 26631 grad_norm: 1.0039 loss: 1.3287 grounding_loss_reg: 3.7781 detection_loss_cls: 0.0552 detection_loss_reg: 0.3959 caption_loss_cls: 2.5961 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.8383 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:49:33 - mmengine - INFO - Iter(train) [144300/480000] base_lr: 1.5903e-04 lr: 4.2712e-05 eta: 7 days, 20:26:11 time: 2.3413 data_time: 0.1198 memory: 26631 grad_norm: 1.0005 loss: 1.3208 grounding_loss_reg: 3.7770 detection_loss_cls: 0.0551 detection_loss_reg: 0.3955 caption_loss_cls: 2.5963 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.8396 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:53:36 - mmengine - INFO - Iter(train) [144400/480000] base_lr: 1.5898e-04 lr: 4.2699e-05 eta: 7 days, 22:23:59 time: 2.3436 data_time: 0.1198 memory: 25793 grad_norm: 0.9969 loss: 1.3100 grounding_loss_reg: 3.7749 detection_loss_cls: 0.0552 detection_loss_reg: 0.3969 caption_loss_cls: 2.5921 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.8391 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:57:14 - mmengine - INFO - Iter(train) [144500/480000] base_lr: 1.5893e-04 lr: 4.2685e-05 eta: 7 days, 23:00:32 time: 2.3375 data_time: 0.1198 memory: 25793 grad_norm: 0.9961 loss: 1.3071 grounding_loss_reg: 3.7749 detection_loss_cls: 0.0551 detection_loss_reg: 0.3958 caption_loss_cls: 2.5923 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.8395 semantic_segmentation_loss_cls: 0.0142 2023/10/12 02:57:14 - mmengine - INFO - Saving checkpoint at 144500 iterations 2023/10/12 03:01:48 - mmengine - INFO - Iter(train) [144600/480000] base_lr: 1.5888e-04 lr: 4.2672e-05 eta: 8 days, 1:58:54 time: 2.3273 data_time: 0.1194 memory: 26631 grad_norm: 0.9963 loss: 1.3069 grounding_loss_reg: 3.7744 detection_loss_cls: 0.0548 detection_loss_reg: 0.3955 caption_loss_cls: 2.5944 instance_segmentation_loss_cls: 0.0451 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0141 2023/10/12 03:05:32 - mmengine - INFO - Iter(train) [144700/480000] base_lr: 1.5882e-04 lr: 4.2658e-05 eta: 8 days, 2:37:11 time: 2.3204 data_time: 0.1194 memory: 25793 grad_norm: 0.9976 loss: 1.3111 grounding_loss_reg: 3.7735 detection_loss_cls: 0.0550 detection_loss_reg: 0.3966 caption_loss_cls: 2.5941 instance_segmentation_loss_cls: 0.0451 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.8387 semantic_segmentation_loss_cls: 0.0141 2023/10/12 03:09:05 - mmengine - INFO - Iter(train) [144800/480000] base_lr: 1.5877e-04 lr: 4.2644e-05 eta: 8 days, 2:42:47 time: 2.3056 data_time: 0.1194 memory: 25793 grad_norm: 0.9987 loss: 1.3110 grounding_loss_reg: 3.7723 detection_loss_cls: 0.0551 detection_loss_reg: 0.3966 caption_loss_cls: 2.5941 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.8357 semantic_segmentation_loss_cls: 0.0141 2023/10/12 03:12:36 - mmengine - INFO - Iter(train) [144900/480000] base_lr: 1.5872e-04 lr: 4.2631e-05 eta: 8 days, 2:43:28 time: 2.3034 data_time: 0.1194 memory: 25793 grad_norm: 1.0013 loss: 1.3081 grounding_loss_reg: 3.7717 detection_loss_cls: 0.0549 detection_loss_reg: 0.3961 caption_loss_cls: 2.5890 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.8349 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:16:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231012_012318 2023/10/12 03:16:38 - mmengine - INFO - Iter(train) [145000/480000] base_lr: 1.5867e-04 lr: 4.2617e-05 eta: 8 days, 3:52:07 time: 2.3108 data_time: 0.1194 memory: 25793 grad_norm: 0.9950 loss: 1.3057 grounding_loss_reg: 3.7717 detection_loss_cls: 0.0550 detection_loss_reg: 0.3970 caption_loss_cls: 2.5943 instance_segmentation_loss_cls: 0.0444 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.8345 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:16:38 - mmengine - INFO - Saving checkpoint at 145000 iterations 2023/10/12 03:21:16 - mmengine - INFO - Iter(train) [145100/480000] base_lr: 1.5861e-04 lr: 4.2603e-05 eta: 8 days, 6:13:52 time: 2.3012 data_time: 0.1195 memory: 26631 grad_norm: 1.0008 loss: 1.3111 grounding_loss_reg: 3.7726 detection_loss_cls: 0.0549 detection_loss_reg: 0.3968 caption_loss_cls: 2.5883 instance_segmentation_loss_cls: 0.0442 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.8352 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:25:35 - mmengine - INFO - Iter(train) [145200/480000] base_lr: 1.5856e-04 lr: 4.2590e-05 eta: 8 days, 7:46:29 time: 2.3004 data_time: 0.1194 memory: 26631 grad_norm: 0.9980 loss: 1.3090 grounding_loss_reg: 3.7721 detection_loss_cls: 0.0549 detection_loss_reg: 0.3976 caption_loss_cls: 2.5885 instance_segmentation_loss_cls: 0.0441 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.8353 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:29:20 - mmengine - INFO - Iter(train) [145300/480000] base_lr: 1.5851e-04 lr: 4.2576e-05 eta: 8 days, 8:01:33 time: 2.2912 data_time: 0.1194 memory: 26631 grad_norm: 1.0064 loss: 1.3178 grounding_loss_reg: 3.7727 detection_loss_cls: 0.0550 detection_loss_reg: 0.3984 caption_loss_cls: 2.5879 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.8353 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:33:07 - mmengine - INFO - Iter(train) [145400/480000] base_lr: 1.5845e-04 lr: 4.2562e-05 eta: 8 days, 8:21:00 time: 2.2864 data_time: 0.1194 memory: 25793 grad_norm: 1.0017 loss: 1.3108 grounding_loss_reg: 3.7718 detection_loss_cls: 0.0549 detection_loss_reg: 0.3979 caption_loss_cls: 2.5880 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.8350 semantic_segmentation_loss_cls: 0.0141 2023/10/12 03:37:17 - mmengine - INFO - Iter(train) [145500/480000] base_lr: 1.5840e-04 lr: 4.2549e-05 eta: 8 days, 9:21:53 time: 2.2775 data_time: 0.1194 memory: 25793 grad_norm: 1.0061 loss: 1.3116 grounding_loss_reg: 3.7711 detection_loss_cls: 0.0548 detection_loss_reg: 0.3968 caption_loss_cls: 2.5873 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.8366 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:37:17 - mmengine - INFO - Saving checkpoint at 145500 iterations 2023/10/12 03:42:32 - mmengine - INFO - Iter(train) [145600/480000] base_lr: 1.5835e-04 lr: 4.2535e-05 eta: 8 days, 12:14:13 time: 2.2778 data_time: 0.1187 memory: 25793 grad_norm: 1.0106 loss: 1.3203 grounding_loss_reg: 3.7692 detection_loss_cls: 0.0548 detection_loss_reg: 0.3973 caption_loss_cls: 2.5855 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.8364 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:46:25 - mmengine - INFO - Iter(train) [145700/480000] base_lr: 1.5830e-04 lr: 4.2521e-05 eta: 8 days, 12:33:08 time: 2.2771 data_time: 0.1187 memory: 26631 grad_norm: 1.0101 loss: 1.3191 grounding_loss_reg: 3.7669 detection_loss_cls: 0.0549 detection_loss_reg: 0.3975 caption_loss_cls: 2.5835 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.8370 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:50:50 - mmengine - INFO - Iter(train) [145800/480000] base_lr: 1.5824e-04 lr: 4.2508e-05 eta: 8 days, 13:46:18 time: 2.2803 data_time: 0.1188 memory: 26631 grad_norm: 1.0117 loss: 1.3228 grounding_loss_reg: 3.7660 detection_loss_cls: 0.0548 detection_loss_reg: 0.3974 caption_loss_cls: 2.5868 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.8383 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:54:37 - mmengine - INFO - Iter(train) [145900/480000] base_lr: 1.5819e-04 lr: 4.2494e-05 eta: 8 days, 13:51:04 time: 2.2708 data_time: 0.1187 memory: 26631 grad_norm: 1.0157 loss: 1.3285 grounding_loss_reg: 3.7663 detection_loss_cls: 0.0546 detection_loss_reg: 0.3974 caption_loss_cls: 2.5924 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0142 2023/10/12 03:58:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231012_012318 2023/10/12 03:58:39 - mmengine - INFO - Iter(train) [146000/480000] base_lr: 1.5814e-04 lr: 4.2480e-05 eta: 8 days, 14:18:47 time: 2.2749 data_time: 0.1188 memory: 26631 grad_norm: 1.0129 loss: 1.3205 grounding_loss_reg: 3.7659 detection_loss_cls: 0.0547 detection_loss_reg: 0.3976 caption_loss_cls: 2.5889 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.8367 semantic_segmentation_loss_cls: 0.0141 2023/10/12 03:58:39 - mmengine - INFO - Saving checkpoint at 146000 iterations 2023/10/12 04:03:27 - mmengine - INFO - Iter(train) [146100/480000] base_lr: 1.5808e-04 lr: 4.2466e-05 eta: 8 days, 15:56:17 time: 2.2720 data_time: 0.1179 memory: 25793 grad_norm: 1.0208 loss: 1.3275 grounding_loss_reg: 3.7646 detection_loss_cls: 0.0545 detection_loss_reg: 0.3966 caption_loss_cls: 2.5842 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.8373 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:07:52 - mmengine - INFO - Iter(train) [146200/480000] base_lr: 1.5803e-04 lr: 4.2453e-05 eta: 8 days, 16:55:01 time: 2.2718 data_time: 0.1179 memory: 26631 grad_norm: 1.0191 loss: 1.3335 grounding_loss_reg: 3.7645 detection_loss_cls: 0.0546 detection_loss_reg: 0.3960 caption_loss_cls: 2.5862 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.8394 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:12:10 - mmengine - INFO - Iter(train) [146300/480000] base_lr: 1.5798e-04 lr: 4.2439e-05 eta: 8 days, 17:38:39 time: 2.2711 data_time: 0.1179 memory: 25793 grad_norm: 1.0166 loss: 1.3317 grounding_loss_reg: 3.7643 detection_loss_cls: 0.0547 detection_loss_reg: 0.3963 caption_loss_cls: 2.5834 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:15:51 - mmengine - INFO - Iter(train) [146400/480000] base_lr: 1.5793e-04 lr: 4.2425e-05 eta: 8 days, 17:27:38 time: 2.2698 data_time: 0.1179 memory: 26631 grad_norm: 1.0152 loss: 1.3292 grounding_loss_reg: 3.7624 detection_loss_cls: 0.0546 detection_loss_reg: 0.3960 caption_loss_cls: 2.5843 instance_segmentation_loss_cls: 0.0430 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.8403 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:19:59 - mmengine - INFO - Iter(train) [146500/480000] base_lr: 1.5787e-04 lr: 4.2412e-05 eta: 8 days, 17:53:43 time: 2.2657 data_time: 0.1179 memory: 26631 grad_norm: 1.0206 loss: 1.3294 grounding_loss_reg: 3.7627 detection_loss_cls: 0.0547 detection_loss_reg: 0.3965 caption_loss_cls: 2.5839 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:19:59 - mmengine - INFO - Saving checkpoint at 146500 iterations 2023/10/12 04:25:05 - mmengine - INFO - Iter(train) [146600/480000] base_lr: 1.5782e-04 lr: 4.2398e-05 eta: 8 days, 19:38:15 time: 2.3059 data_time: 0.1326 memory: 26631 grad_norm: 1.0162 loss: 1.3205 grounding_loss_reg: 3.7612 detection_loss_cls: 0.0547 detection_loss_reg: 0.3970 caption_loss_cls: 2.5843 instance_segmentation_loss_cls: 0.0430 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.8390 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:29:20 - mmengine - INFO - Iter(train) [146700/480000] base_lr: 1.5777e-04 lr: 4.2384e-05 eta: 8 days, 20:09:14 time: 2.3305 data_time: 0.1326 memory: 26631 grad_norm: 1.0155 loss: 1.3233 grounding_loss_reg: 3.7603 detection_loss_cls: 0.0549 detection_loss_reg: 0.3985 caption_loss_cls: 2.5843 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:33:04 - mmengine - INFO - Iter(train) [146800/480000] base_lr: 1.5771e-04 lr: 4.2370e-05 eta: 8 days, 19:58:15 time: 2.3466 data_time: 0.1325 memory: 25793 grad_norm: 1.0172 loss: 1.3178 grounding_loss_reg: 3.7575 detection_loss_cls: 0.0549 detection_loss_reg: 0.3984 caption_loss_cls: 2.5800 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.8391 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:37:04 - mmengine - INFO - Iter(train) [146900/480000] base_lr: 1.5766e-04 lr: 4.2356e-05 eta: 8 days, 20:08:41 time: 2.3655 data_time: 0.1325 memory: 26631 grad_norm: 1.0184 loss: 1.3163 grounding_loss_reg: 3.7563 detection_loss_cls: 0.0547 detection_loss_reg: 0.3972 caption_loss_cls: 2.5765 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.8398 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:41:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231012_012318 2023/10/12 04:41:00 - mmengine - INFO - Iter(train) [147000/480000] base_lr: 1.5761e-04 lr: 4.2343e-05 eta: 8 days, 20:13:03 time: 2.3756 data_time: 0.1325 memory: 25793 grad_norm: 1.0208 loss: 1.3193 grounding_loss_reg: 3.7562 detection_loss_cls: 0.0548 detection_loss_reg: 0.3972 caption_loss_cls: 2.5701 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.8398 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:41:00 - mmengine - INFO - Saving checkpoint at 147000 iterations 2023/10/12 04:46:05 - mmengine - INFO - Iter(train) [147100/480000] base_lr: 1.5755e-04 lr: 4.2329e-05 eta: 8 days, 21:39:50 time: 2.3955 data_time: 0.1318 memory: 26631 grad_norm: 1.0178 loss: 1.3180 grounding_loss_reg: 3.7561 detection_loss_cls: 0.0547 detection_loss_reg: 0.3975 caption_loss_cls: 2.5699 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.8400 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:50:01 - mmengine - INFO - Iter(train) [147200/480000] base_lr: 1.5750e-04 lr: 4.2315e-05 eta: 8 days, 21:42:18 time: 2.4066 data_time: 0.1319 memory: 26631 grad_norm: 1.0184 loss: 1.3188 grounding_loss_reg: 3.7562 detection_loss_cls: 0.0549 detection_loss_reg: 0.3984 caption_loss_cls: 2.5702 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.8388 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:54:29 - mmengine - INFO - Iter(train) [147300/480000] base_lr: 1.5745e-04 lr: 4.2301e-05 eta: 8 days, 22:20:39 time: 2.4264 data_time: 0.1319 memory: 25793 grad_norm: 1.0209 loss: 1.3210 grounding_loss_reg: 3.7531 detection_loss_cls: 0.0550 detection_loss_reg: 0.3990 caption_loss_cls: 2.5694 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0141 2023/10/12 04:58:02 - mmengine - INFO - Iter(train) [147400/480000] base_lr: 1.5739e-04 lr: 4.2288e-05 eta: 8 days, 21:55:48 time: 2.4308 data_time: 0.1318 memory: 25793 grad_norm: 1.0227 loss: 1.3181 grounding_loss_reg: 3.7522 detection_loss_cls: 0.0552 detection_loss_reg: 0.3994 caption_loss_cls: 2.5710 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.8417 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:01:29 - mmengine - INFO - Iter(train) [147500/480000] base_lr: 1.5734e-04 lr: 4.2274e-05 eta: 8 days, 21:24:28 time: 2.4361 data_time: 0.1318 memory: 25793 grad_norm: 1.0222 loss: 1.3123 grounding_loss_reg: 3.7522 detection_loss_cls: 0.0555 detection_loss_reg: 0.4003 caption_loss_cls: 2.5678 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.8418 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:01:29 - mmengine - INFO - Saving checkpoint at 147500 iterations 2023/10/12 05:06:51 - mmengine - INFO - Iter(train) [147600/480000] base_lr: 1.5729e-04 lr: 4.2260e-05 eta: 8 days, 22:59:47 time: 2.4460 data_time: 0.1322 memory: 26631 grad_norm: 1.0196 loss: 1.3095 grounding_loss_reg: 3.7507 detection_loss_cls: 0.0553 detection_loss_reg: 0.3984 caption_loss_cls: 2.5695 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:11:05 - mmengine - INFO - Iter(train) [147700/480000] base_lr: 1.5723e-04 lr: 4.2246e-05 eta: 8 days, 23:17:27 time: 2.4606 data_time: 0.1323 memory: 26631 grad_norm: 1.0220 loss: 1.3158 grounding_loss_reg: 3.7476 detection_loss_cls: 0.0553 detection_loss_reg: 0.3979 caption_loss_cls: 2.5723 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.8419 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:15:26 - mmengine - INFO - Iter(train) [147800/480000] base_lr: 1.5718e-04 lr: 4.2232e-05 eta: 8 days, 23:42:54 time: 2.4704 data_time: 0.1324 memory: 26631 grad_norm: 1.0218 loss: 1.3178 grounding_loss_reg: 3.7468 detection_loss_cls: 0.0554 detection_loss_reg: 0.3985 caption_loss_cls: 2.5721 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.8445 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:19:30 - mmengine - INFO - Iter(train) [147900/480000] base_lr: 1.5713e-04 lr: 4.2218e-05 eta: 8 days, 23:49:37 time: 2.4805 data_time: 0.1324 memory: 26631 grad_norm: 1.0214 loss: 1.3101 grounding_loss_reg: 3.7455 detection_loss_cls: 0.0553 detection_loss_reg: 0.3987 caption_loss_cls: 2.5717 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.8454 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:24:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231012_012318 2023/10/12 05:24:09 - mmengine - INFO - Iter(train) [148000/480000] base_lr: 1.5707e-04 lr: 4.2205e-05 eta: 9 days, 0:30:26 time: 2.4961 data_time: 0.1323 memory: 25793 grad_norm: 1.0168 loss: 1.3014 grounding_loss_reg: 3.7439 detection_loss_cls: 0.0554 detection_loss_reg: 0.3990 caption_loss_cls: 2.5740 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.8461 semantic_segmentation_loss_cls: 0.0141 2023/10/12 05:24:09 - mmengine - INFO - Saving checkpoint at 148000 iterations 2023/10/15 14:23:34 - mmengine - INFO - Iter(train) [148100/480000] base_lr: 1.5702e-04 lr: 4.2191e-05 eta: 5 days, 13:37:02 time: 2.4640 data_time: 0.1173 memory: 26634 grad_norm: 1.1183 loss: 1.3195 grounding_loss_reg: 3.7424 detection_loss_cls: 0.0566 detection_loss_reg: 0.3993 caption_loss_cls: 2.5736 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.8461 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:26:07 - mmengine - INFO - Iter(train) [148200/480000] base_lr: 1.5697e-04 lr: 4.2177e-05 eta: 5 days, 17:18:06 time: 2.4499 data_time: 0.1177 memory: 26633 grad_norm: 1.2058 loss: 1.3325 grounding_loss_reg: 3.7419 detection_loss_cls: 0.0615 detection_loss_reg: 0.4002 caption_loss_cls: 2.5784 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.8482 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:28:52 - mmengine - INFO - Iter(train) [148300/480000] base_lr: 1.5691e-04 lr: 4.2163e-05 eta: 5 days, 22:04:28 time: 2.4343 data_time: 0.1177 memory: 26633 grad_norm: 1.2149 loss: 1.3386 grounding_loss_reg: 3.7400 detection_loss_cls: 0.0618 detection_loss_reg: 0.4015 caption_loss_cls: 2.5833 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.8500 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:31:31 - mmengine - INFO - Iter(train) [148400/480000] base_lr: 1.5686e-04 lr: 4.2149e-05 eta: 5 days, 23:09:53 time: 2.4133 data_time: 0.1177 memory: 25793 grad_norm: 1.2225 loss: 1.3482 grounding_loss_reg: 3.7398 detection_loss_cls: 0.0619 detection_loss_reg: 0.4019 caption_loss_cls: 2.5839 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.8514 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:34:20 - mmengine - INFO - Iter(train) [148500/480000] base_lr: 1.5681e-04 lr: 4.2135e-05 eta: 6 days, 1:32:38 time: 2.4008 data_time: 0.1178 memory: 26633 grad_norm: 1.2223 loss: 1.3559 grounding_loss_reg: 3.7396 detection_loss_cls: 0.0623 detection_loss_reg: 0.4025 caption_loss_cls: 2.5909 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.8516 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:34:20 - mmengine - INFO - Saving checkpoint at 148500 iterations 2023/10/15 14:38:01 - mmengine - INFO - Iter(train) [148600/480000] base_lr: 1.5675e-04 lr: 4.2121e-05 eta: 6 days, 11:13:43 time: 2.3879 data_time: 0.1199 memory: 25793 grad_norm: 1.2261 loss: 1.3637 grounding_loss_reg: 3.7391 detection_loss_cls: 0.0623 detection_loss_reg: 0.4026 caption_loss_cls: 2.5960 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.8496 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:41:04 - mmengine - INFO - Iter(train) [148700/480000] base_lr: 1.5670e-04 lr: 4.2108e-05 eta: 6 days, 13:05:17 time: 2.3775 data_time: 0.1198 memory: 25793 grad_norm: 1.2251 loss: 1.3577 grounding_loss_reg: 3.7389 detection_loss_cls: 0.0623 detection_loss_reg: 0.4015 caption_loss_cls: 2.5966 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.8482 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:44:06 - mmengine - INFO - Iter(train) [148800/480000] base_lr: 1.5665e-04 lr: 4.2094e-05 eta: 6 days, 14:15:51 time: 2.3697 data_time: 0.1199 memory: 25793 grad_norm: 1.2234 loss: 1.3605 grounding_loss_reg: 3.7382 detection_loss_cls: 0.0625 detection_loss_reg: 0.4027 caption_loss_cls: 2.5965 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.8508 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:47:25 - mmengine - INFO - Iter(train) [148900/480000] base_lr: 1.5659e-04 lr: 4.2080e-05 eta: 6 days, 17:02:23 time: 2.3669 data_time: 0.1199 memory: 25793 grad_norm: 1.2181 loss: 1.3589 grounding_loss_reg: 3.7357 detection_loss_cls: 0.0625 detection_loss_reg: 0.4015 caption_loss_cls: 2.5983 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.8506 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:50:48 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 14:50:48 - mmengine - INFO - Iter(train) [149000/480000] base_lr: 1.5654e-04 lr: 4.2066e-05 eta: 6 days, 19:31:39 time: 2.3571 data_time: 0.1199 memory: 25793 grad_norm: 1.2266 loss: 1.3659 grounding_loss_reg: 3.7348 detection_loss_cls: 0.0626 detection_loss_reg: 0.4025 caption_loss_cls: 2.6004 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.8490 semantic_segmentation_loss_cls: 0.0141 2023/10/15 14:50:48 - mmengine - INFO - Saving checkpoint at 149000 iterations 2023/10/15 14:55:19 - mmengine - INFO - Iter(train) [149100/480000] base_lr: 1.5649e-04 lr: 4.2052e-05 eta: 7 days, 3:12:54 time: 2.3552 data_time: 0.1211 memory: 26633 grad_norm: 1.2245 loss: 1.3682 grounding_loss_reg: 3.7347 detection_loss_cls: 0.0635 detection_loss_reg: 0.4049 caption_loss_cls: 2.5999 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.8494 semantic_segmentation_loss_cls: 0.0142 2023/10/15 14:58:35 - mmengine - INFO - Iter(train) [149200/480000] base_lr: 1.5643e-04 lr: 4.2038e-05 eta: 7 days, 3:56:02 time: 2.3394 data_time: 0.1211 memory: 25793 grad_norm: 1.2259 loss: 1.3716 grounding_loss_reg: 3.7365 detection_loss_cls: 0.0635 detection_loss_reg: 0.4058 caption_loss_cls: 2.5993 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.8489 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:02:29 - mmengine - INFO - Iter(train) [149300/480000] base_lr: 1.5638e-04 lr: 4.2024e-05 eta: 7 days, 7:11:19 time: 2.3418 data_time: 0.1211 memory: 25793 grad_norm: 1.2172 loss: 1.3641 grounding_loss_reg: 3.7352 detection_loss_cls: 0.0636 detection_loss_reg: 0.4058 caption_loss_cls: 2.6011 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.8506 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:05:50 - mmengine - INFO - Iter(train) [149400/480000] base_lr: 1.5632e-04 lr: 4.2010e-05 eta: 7 days, 7:48:37 time: 2.3353 data_time: 0.1211 memory: 25793 grad_norm: 1.2236 loss: 1.3752 grounding_loss_reg: 3.7351 detection_loss_cls: 0.0636 detection_loss_reg: 0.4069 caption_loss_cls: 2.6074 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.8493 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:09:26 - mmengine - INFO - Iter(train) [149500/480000] base_lr: 1.5627e-04 lr: 4.1996e-05 eta: 7 days, 9:15:32 time: 2.3267 data_time: 0.1211 memory: 26633 grad_norm: 1.2241 loss: 1.3773 grounding_loss_reg: 3.7339 detection_loss_cls: 0.0638 detection_loss_reg: 0.4074 caption_loss_cls: 2.6084 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.8502 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:09:26 - mmengine - INFO - Saving checkpoint at 149500 iterations 2023/10/15 15:14:12 - mmengine - INFO - Iter(train) [149600/480000] base_lr: 1.5622e-04 lr: 4.1982e-05 eta: 7 days, 14:32:52 time: 2.3196 data_time: 0.1228 memory: 25793 grad_norm: 1.2199 loss: 1.3735 grounding_loss_reg: 3.7341 detection_loss_cls: 0.0637 detection_loss_reg: 0.4071 caption_loss_cls: 2.6106 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.8511 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:17:55 - mmengine - INFO - Iter(train) [149700/480000] base_lr: 1.5616e-04 lr: 4.1968e-05 eta: 7 days, 15:48:46 time: 2.3173 data_time: 0.1229 memory: 26633 grad_norm: 1.2216 loss: 1.3769 grounding_loss_reg: 3.7336 detection_loss_cls: 0.0638 detection_loss_reg: 0.4068 caption_loss_cls: 2.6065 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.8533 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:21:38 - mmengine - INFO - Iter(train) [149800/480000] base_lr: 1.5611e-04 lr: 4.1954e-05 eta: 7 days, 16:54:09 time: 2.3065 data_time: 0.1228 memory: 26633 grad_norm: 1.2205 loss: 1.3752 grounding_loss_reg: 3.7336 detection_loss_cls: 0.0641 detection_loss_reg: 0.4085 caption_loss_cls: 2.6032 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.8533 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:25:46 - mmengine - INFO - Iter(train) [149900/480000] base_lr: 1.5606e-04 lr: 4.1940e-05 eta: 7 days, 19:03:49 time: 2.3117 data_time: 0.1228 memory: 25793 grad_norm: 1.2164 loss: 1.3739 grounding_loss_reg: 3.7337 detection_loss_cls: 0.0647 detection_loss_reg: 0.4100 caption_loss_cls: 2.6037 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8544 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:29:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 15:29:35 - mmengine - INFO - Iter(train) [150000/480000] base_lr: 1.5600e-04 lr: 4.1926e-05 eta: 7 days, 20:09:07 time: 2.3086 data_time: 0.1229 memory: 25793 grad_norm: 1.2183 loss: 1.3820 grounding_loss_reg: 3.7337 detection_loss_cls: 0.0647 detection_loss_reg: 0.4102 caption_loss_cls: 2.6034 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8541 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:29:35 - mmengine - INFO - Saving checkpoint at 150000 iterations 2023/10/15 15:35:30 - mmengine - INFO - Evaluating bbox... 2023/10/15 15:36:37 - mmengine - INFO - bbox_mAP_copypaste: 0.448 0.623 0.490 0.304 0.496 0.587 2023/10/15 15:36:37 - mmengine - INFO - Evaluating segm... 2023/10/15 15:37:54 - mmengine - INFO - segm_mAP_copypaste: 0.270 0.514 0.258 0.147 0.321 0.420 2023/10/15 15:39:17 - mmengine - INFO - Evaluating bbox... 2023/10/15 15:40:24 - mmengine - INFO - bbox_mAP_copypaste: 0.449 0.624 0.492 0.304 0.497 0.587 2023/10/15 15:43:37 - mmengine - INFO - per class results: 2023/10/15 15:43:37 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.57 | 85.39 | | building | 79.85 | 87.56 | | sky | 92.73 | 96.33 | | floor | 80.73 | 88.46 | | tree | 71.62 | 86.31 | | ceiling | 80.71 | 93.21 | | road | 83.68 | 88.91 | | bed | 86.37 | 94.44 | | windowpane | 58.64 | 81.02 | | grass | 68.97 | 82.9 | | cabinet | 55.2 | 63.7 | | sidewalk | 62.06 | 72.58 | | person | 78.0 | 91.83 | | earth | 36.71 | 62.51 | | door | 45.85 | 66.01 | | table | 52.74 | 66.15 | | mountain | 43.39 | 46.04 | | plant | 50.27 | 71.58 | | curtain | 69.8 | 86.06 | | chair | 51.51 | 68.51 | | car | 80.1 | 91.02 | | water | 57.08 | 82.21 | | painting | 68.12 | 78.6 | | sofa | 58.0 | 91.62 | | shelf | 40.43 | 63.18 | | house | 38.48 | 62.88 | | sea | 59.76 | 73.3 | | mirror | 61.94 | 72.76 | | rug | 66.92 | 73.09 | | field | 24.54 | 27.85 | | armchair | 24.19 | 32.86 | | seat | 60.49 | 78.41 | | fence | 40.96 | 58.72 | | desk | 39.01 | 57.13 | | rock | 44.8 | 72.98 | | wardrobe | 47.13 | 68.2 | | lamp | 50.5 | 75.81 | | bathtub | 69.9 | 79.74 | | railing | 33.37 | 52.6 | | cushion | 48.42 | 61.55 | | base | 20.31 | 45.81 | | box | 24.25 | 31.89 | | column | 42.61 | 66.54 | | signboard | 26.05 | 65.14 | | chest of drawers | 32.92 | 65.09 | | counter | 29.42 | 54.94 | | sand | 37.21 | 42.41 | | sink | 62.67 | 67.73 | | skyscraper | 54.87 | 72.19 | | fireplace | 66.63 | 79.65 | | refrigerator | 63.74 | 78.91 | | grandstand | 43.37 | 61.96 | | path | 25.44 | 39.67 | | stairs | 29.41 | 50.53 | | runway | 70.79 | 89.63 | | case | 47.37 | 53.57 | | pool table | 91.32 | 95.18 | | pillow | 45.69 | 54.69 | | screen door | 51.57 | 60.12 | | stairway | 36.68 | 45.3 | | river | 19.76 | 22.63 | | bridge | 56.95 | 89.93 | | bookcase | 4.42 | 4.47 | | blind | 17.72 | 18.62 | | coffee table | 47.29 | 83.28 | | toilet | 81.14 | 89.58 | | flower | 31.77 | 58.27 | | book | 40.84 | 77.89 | | hill | 5.79 | 6.95 | | bench | 47.44 | 65.35 | | countertop | 40.74 | 85.03 | | stove | 61.91 | 83.42 | | palm | 45.83 | 70.07 | | kitchen island | 24.82 | 87.38 | | computer | 67.06 | 83.69 | | swivel chair | 22.54 | 25.95 | | boat | 68.49 | 90.27 | | bar | 24.76 | 28.08 | | arcade machine | 48.27 | 49.12 | | hovel | 21.81 | 26.89 | | bus | 91.03 | 94.16 | | towel | 54.45 | 67.8 | | light | 28.25 | 30.74 | | truck | 31.8 | 60.34 | | tower | 30.34 | 51.44 | | chandelier | 59.49 | 77.14 | | awning | 18.58 | 20.46 | | streetlight | 9.07 | 9.44 | | booth | 34.9 | 37.35 | | television receiver | 57.35 | 78.97 | | airplane | 54.76 | 64.98 | | dirt track | 0.26 | 0.32 | | apparel | 26.35 | 36.59 | | pole | 20.85 | 48.33 | | land | 0.0 | 0.0 | | bannister | 6.29 | 13.04 | | escalator | 25.31 | 27.59 | | ottoman | 35.3 | 44.35 | | bottle | 24.77 | 32.23 | | buffet | 32.35 | 37.75 | | poster | 23.08 | 38.53 | | stage | 9.41 | 11.34 | | van | 20.75 | 27.31 | | ship | 4.7 | 4.9 | | fountain | 21.68 | 22.3 | | conveyer belt | 57.39 | 80.39 | | canopy | 27.47 | 32.88 | | washer | 64.25 | 66.48 | | plaything | 18.68 | 26.76 | | swimming pool | 61.42 | 84.09 | | stool | 40.8 | 52.82 | | barrel | 38.84 | 63.82 | | basket | 27.9 | 56.02 | | waterfall | 38.94 | 44.45 | | tent | 75.91 | 93.88 | | bag | 10.68 | 11.49 | | minibike | 64.77 | 67.8 | | cradle | 49.69 | 58.78 | | oven | 20.02 | 26.22 | | ball | 44.42 | 54.34 | | food | 46.57 | 52.53 | | step | 5.08 | 6.34 | | tank | 34.06 | 55.28 | | trade name | 10.82 | 12.52 | | microwave | 86.21 | 92.6 | | pot | 28.12 | 31.54 | | animal | 60.47 | 65.5 | | bicycle | 48.84 | 89.27 | | lake | 0.0 | 0.0 | | dishwasher | 50.44 | 62.55 | | screen | 66.59 | 75.54 | | blanket | 2.95 | 3.17 | | sculpture | 45.08 | 68.97 | | hood | 45.16 | 51.61 | | sconce | 5.02 | 5.17 | | vase | 32.41 | 51.37 | | traffic light | 27.63 | 33.19 | | tray | 13.44 | 17.82 | | ashcan | 32.31 | 49.72 | | fan | 53.13 | 67.72 | | pier | 33.75 | 53.37 | | crt screen | 0.31 | 0.31 | | plate | 46.85 | 62.53 | | monitor | 0.0 | 0.0 | | bulletin board | 1.98 | 1.98 | | shower | 0.0 | 0.0 | | radiator | 52.04 | 60.88 | | glass | 13.74 | 15.27 | | clock | 21.67 | 24.81 | | flag | 56.57 | 60.94 | +---------------------+-------+-------+ 2023/10/15 15:44:00 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.4170 data_time: 0.0257 memory: 27909 2023/10/15 15:44:23 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.4490 coco/bbox_mAP_50: 0.6240 coco/bbox_mAP_75: 0.4920 coco/bbox_mAP_s: 0.3040 coco/bbox_mAP_m: 0.4970 coco/bbox_mAP_l: 0.5870 coco/segm_mAP: 0.2700 coco/segm_mAP_50: 0.5140 coco/segm_mAP_75: 0.2580 coco/segm_mAP_s: 0.1470 coco/segm_mAP_m: 0.3210 coco/segm_mAP_l: 0.4200 Bleu_1: 0.5958 Bleu_2: 0.4392 Bleu_3: 0.3180 Bleu_4: 0.2286 METEOR: 0.2116 ROUGE_L: 0.4688 CIDEr: 0.7642 SPICE: 0.1503 aAcc: 80.5800 mIoU: 42.0200 mAcc: 54.8800 visual-grounding/miou: 0.6740 visual-grounding/acc: 0.7673 data_time: 0.0014 time: 0.2253 2023/10/15 15:47:38 - mmengine - INFO - Iter(train) [150100/480000] base_lr: 1.5595e-04 lr: 4.1912e-05 eta: 7 days, 19:58:05 time: 2.2872 data_time: 0.1097 memory: 26632 grad_norm: 1.2111 loss: 1.3774 grounding_loss_reg: 3.7339 detection_loss_cls: 0.0647 detection_loss_reg: 0.4098 caption_loss_cls: 2.6074 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8535 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:51:11 - mmengine - INFO - Iter(train) [150200/480000] base_lr: 1.5589e-04 lr: 4.1898e-05 eta: 7 days, 20:13:41 time: 2.2739 data_time: 0.1097 memory: 25793 grad_norm: 1.2172 loss: 1.3752 grounding_loss_reg: 3.7328 detection_loss_cls: 0.0649 detection_loss_reg: 0.4103 caption_loss_cls: 2.6090 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.8548 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:54:43 - mmengine - INFO - Iter(train) [150300/480000] base_lr: 1.5584e-04 lr: 4.1885e-05 eta: 7 days, 20:26:35 time: 2.2626 data_time: 0.1098 memory: 25793 grad_norm: 1.2214 loss: 1.3809 grounding_loss_reg: 3.7326 detection_loss_cls: 0.0644 detection_loss_reg: 0.4099 caption_loss_cls: 2.6104 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8559 semantic_segmentation_loss_cls: 0.0142 2023/10/15 15:58:04 - mmengine - INFO - Iter(train) [150400/480000] base_lr: 1.5579e-04 lr: 4.1871e-05 eta: 7 days, 20:12:10 time: 2.2576 data_time: 0.1098 memory: 25793 grad_norm: 1.2253 loss: 1.3888 grounding_loss_reg: 3.7310 detection_loss_cls: 0.0644 detection_loss_reg: 0.4102 caption_loss_cls: 2.6110 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8559 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:01:47 - mmengine - INFO - Iter(train) [150500/480000] base_lr: 1.5573e-04 lr: 4.1857e-05 eta: 7 days, 20:48:03 time: 2.2515 data_time: 0.1098 memory: 25793 grad_norm: 1.2226 loss: 1.3877 grounding_loss_reg: 3.7310 detection_loss_cls: 0.0638 detection_loss_reg: 0.4097 caption_loss_cls: 2.6081 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8544 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:01:47 - mmengine - INFO - Saving checkpoint at 150500 iterations 2023/10/15 16:06:30 - mmengine - INFO - Iter(train) [150600/480000] base_lr: 1.5568e-04 lr: 4.1843e-05 eta: 7 days, 23:25:43 time: 2.2456 data_time: 0.1131 memory: 26632 grad_norm: 1.2227 loss: 1.3917 grounding_loss_reg: 3.7309 detection_loss_cls: 0.0637 detection_loss_reg: 0.4096 caption_loss_cls: 2.6068 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.8546 semantic_segmentation_loss_cls: 0.0141 2023/10/15 16:10:41 - mmengine - INFO - Iter(train) [150700/480000] base_lr: 1.5562e-04 lr: 4.1829e-05 eta: 8 days, 0:46:10 time: 2.2445 data_time: 0.1131 memory: 26632 grad_norm: 1.2222 loss: 1.3887 grounding_loss_reg: 3.7291 detection_loss_cls: 0.0636 detection_loss_reg: 0.4108 caption_loss_cls: 2.6066 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8542 semantic_segmentation_loss_cls: 0.0141 2023/10/15 16:14:03 - mmengine - INFO - Iter(train) [150800/480000] base_lr: 1.5557e-04 lr: 4.1815e-05 eta: 8 days, 0:25:36 time: 2.2391 data_time: 0.1131 memory: 26632 grad_norm: 1.2250 loss: 1.3948 grounding_loss_reg: 3.7279 detection_loss_cls: 0.0636 detection_loss_reg: 0.4126 caption_loss_cls: 2.6044 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8538 semantic_segmentation_loss_cls: 0.0141 2023/10/15 16:17:39 - mmengine - INFO - Iter(train) [150900/480000] base_lr: 1.5552e-04 lr: 4.1800e-05 eta: 8 days, 0:32:54 time: 2.2330 data_time: 0.1131 memory: 25793 grad_norm: 1.2207 loss: 1.3882 grounding_loss_reg: 3.7269 detection_loss_cls: 0.0637 detection_loss_reg: 0.4129 caption_loss_cls: 2.6059 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.8540 semantic_segmentation_loss_cls: 0.0141 2023/10/15 16:21:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 16:21:33 - mmengine - INFO - Iter(train) [151000/480000] base_lr: 1.5546e-04 lr: 4.1786e-05 eta: 8 days, 1:11:41 time: 2.2325 data_time: 0.1131 memory: 25793 grad_norm: 1.2210 loss: 1.3868 grounding_loss_reg: 3.7257 detection_loss_cls: 0.0638 detection_loss_reg: 0.4138 caption_loss_cls: 2.6041 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8530 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:21:33 - mmengine - INFO - Saving checkpoint at 151000 iterations 2023/10/15 16:26:32 - mmengine - INFO - Iter(train) [151100/480000] base_lr: 1.5541e-04 lr: 4.1772e-05 eta: 8 days, 3:43:42 time: 2.2312 data_time: 0.1153 memory: 25793 grad_norm: 1.2251 loss: 1.3942 grounding_loss_reg: 3.7263 detection_loss_cls: 0.0638 detection_loss_reg: 0.4139 caption_loss_cls: 2.6037 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.8516 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:30:06 - mmengine - INFO - Iter(train) [151200/480000] base_lr: 1.5535e-04 lr: 4.1758e-05 eta: 8 days, 3:40:34 time: 2.2257 data_time: 0.1152 memory: 26632 grad_norm: 1.2298 loss: 1.4001 grounding_loss_reg: 3.7261 detection_loss_cls: 0.0638 detection_loss_reg: 0.4150 caption_loss_cls: 2.6048 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.8529 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:34:10 - mmengine - INFO - Iter(train) [151300/480000] base_lr: 1.5530e-04 lr: 4.1744e-05 eta: 8 days, 4:25:48 time: 2.2197 data_time: 0.1153 memory: 26632 grad_norm: 1.2278 loss: 1.3981 grounding_loss_reg: 3.7258 detection_loss_cls: 0.0639 detection_loss_reg: 0.4164 caption_loss_cls: 2.6030 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.8525 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:37:46 - mmengine - INFO - Iter(train) [151400/480000] base_lr: 1.5525e-04 lr: 4.1730e-05 eta: 8 days, 4:23:11 time: 2.2203 data_time: 0.1153 memory: 26632 grad_norm: 1.2281 loss: 1.3963 grounding_loss_reg: 3.7259 detection_loss_cls: 0.0638 detection_loss_reg: 0.4168 caption_loss_cls: 2.6000 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8524 semantic_segmentation_loss_cls: 0.0142 2023/10/15 16:41:40 - mmengine - INFO - Iter(train) [151500/480000] base_lr: 1.5519e-04 lr: 4.1716e-05 eta: 8 days, 4:48:23 time: 2.2270 data_time: 0.1154 memory: 26632 grad_norm: 1.2240 loss: 1.3931 grounding_loss_reg: 3.7258 detection_loss_cls: 0.0639 detection_loss_reg: 0.4176 caption_loss_cls: 2.6007 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8515 semantic_segmentation_loss_cls: 0.0143 2023/10/15 16:41:40 - mmengine - INFO - Saving checkpoint at 151500 iterations 2023/10/15 16:46:06 - mmengine - INFO - Iter(train) [151600/480000] base_lr: 1.5514e-04 lr: 4.1702e-05 eta: 8 days, 6:01:48 time: 2.2130 data_time: 0.1173 memory: 25793 grad_norm: 1.2316 loss: 1.3996 grounding_loss_reg: 3.7255 detection_loss_cls: 0.0638 detection_loss_reg: 0.4179 caption_loss_cls: 2.6036 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8527 semantic_segmentation_loss_cls: 0.0143 2023/10/15 16:50:14 - mmengine - INFO - Iter(train) [151700/480000] base_lr: 1.5508e-04 lr: 4.1688e-05 eta: 8 days, 6:44:37 time: 2.2119 data_time: 0.1173 memory: 26632 grad_norm: 1.2246 loss: 1.3904 grounding_loss_reg: 3.7250 detection_loss_cls: 0.0637 detection_loss_reg: 0.4182 caption_loss_cls: 2.6044 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8541 semantic_segmentation_loss_cls: 0.0143 2023/10/15 16:54:12 - mmengine - INFO - Iter(train) [151800/480000] base_lr: 1.5503e-04 lr: 4.1674e-05 eta: 8 days, 7:08:41 time: 2.2058 data_time: 0.1174 memory: 25793 grad_norm: 1.2264 loss: 1.3943 grounding_loss_reg: 3.7251 detection_loss_cls: 0.0639 detection_loss_reg: 0.4189 caption_loss_cls: 2.5998 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.8564 semantic_segmentation_loss_cls: 0.0143 2023/10/15 16:57:44 - mmengine - INFO - Iter(train) [151900/480000] base_lr: 1.5497e-04 lr: 4.1660e-05 eta: 8 days, 6:56:56 time: 2.1980 data_time: 0.1174 memory: 26632 grad_norm: 1.2261 loss: 1.4007 grounding_loss_reg: 3.7248 detection_loss_cls: 0.0641 detection_loss_reg: 0.4202 caption_loss_cls: 2.6001 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8581 semantic_segmentation_loss_cls: 0.0143 2023/10/15 17:01:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 17:01:34 - mmengine - INFO - Iter(train) [152000/480000] base_lr: 1.5492e-04 lr: 4.1646e-05 eta: 8 days, 7:08:17 time: 2.1857 data_time: 0.1173 memory: 26632 grad_norm: 1.2311 loss: 1.4079 grounding_loss_reg: 3.7257 detection_loss_cls: 0.0643 detection_loss_reg: 0.4220 caption_loss_cls: 2.5966 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 0.8570 semantic_segmentation_loss_cls: 0.0144 2023/10/15 17:01:34 - mmengine - INFO - Saving checkpoint at 152000 iterations 2023/10/15 17:06:26 - mmengine - INFO - Iter(train) [152100/480000] base_lr: 1.5487e-04 lr: 4.1632e-05 eta: 8 days, 8:43:27 time: 2.2226 data_time: 0.1346 memory: 26632 grad_norm: 1.1407 loss: 1.3967 grounding_loss_reg: 3.7245 detection_loss_cls: 0.0643 detection_loss_reg: 0.4216 caption_loss_cls: 2.5897 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8572 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:10:26 - mmengine - INFO - Iter(train) [152200/480000] base_lr: 1.5481e-04 lr: 4.1618e-05 eta: 8 days, 9:04:30 time: 2.2442 data_time: 0.1342 memory: 26632 grad_norm: 1.0515 loss: 1.3823 grounding_loss_reg: 3.7271 detection_loss_cls: 0.0644 detection_loss_reg: 0.4229 caption_loss_cls: 2.5883 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8560 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:13:59 - mmengine - INFO - Iter(train) [152300/480000] base_lr: 1.5476e-04 lr: 4.1604e-05 eta: 8 days, 8:51:21 time: 2.2564 data_time: 0.1342 memory: 25793 grad_norm: 1.0467 loss: 1.3800 grounding_loss_reg: 3.7270 detection_loss_cls: 0.0643 detection_loss_reg: 0.4229 caption_loss_cls: 2.5858 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8561 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:17:41 - mmengine - INFO - Iter(train) [152400/480000] base_lr: 1.5470e-04 lr: 4.1589e-05 eta: 8 days, 8:49:18 time: 2.2721 data_time: 0.1342 memory: 26632 grad_norm: 1.0434 loss: 1.3833 grounding_loss_reg: 3.7284 detection_loss_cls: 0.0645 detection_loss_reg: 0.4239 caption_loss_cls: 2.5899 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8562 semantic_segmentation_loss_cls: 0.0147 2023/10/15 17:21:30 - mmengine - INFO - Iter(train) [152500/480000] base_lr: 1.5465e-04 lr: 4.1575e-05 eta: 8 days, 8:55:06 time: 2.2871 data_time: 0.1341 memory: 25793 grad_norm: 1.0456 loss: 1.3741 grounding_loss_reg: 3.7268 detection_loss_cls: 0.0644 detection_loss_reg: 0.4240 caption_loss_cls: 2.5898 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8565 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:21:30 - mmengine - INFO - Saving checkpoint at 152500 iterations 2023/10/15 17:26:34 - mmengine - INFO - Iter(train) [152600/480000] base_lr: 1.5459e-04 lr: 4.1561e-05 eta: 8 days, 10:29:45 time: 2.3076 data_time: 0.1347 memory: 26632 grad_norm: 1.0417 loss: 1.3699 grounding_loss_reg: 3.7252 detection_loss_cls: 0.0647 detection_loss_reg: 0.4264 caption_loss_cls: 2.5882 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3040 instance_segmentation_loss_poly: 0.8574 semantic_segmentation_loss_cls: 0.0147 2023/10/15 17:30:37 - mmengine - INFO - Iter(train) [152700/480000] base_lr: 1.5454e-04 lr: 4.1547e-05 eta: 8 days, 10:50:34 time: 2.3228 data_time: 0.1348 memory: 26632 grad_norm: 1.0411 loss: 1.3757 grounding_loss_reg: 3.7253 detection_loss_cls: 0.0650 detection_loss_reg: 0.4288 caption_loss_cls: 2.5878 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3041 instance_segmentation_loss_poly: 0.8571 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:34:53 - mmengine - INFO - Iter(train) [152800/480000] base_lr: 1.5448e-04 lr: 4.1533e-05 eta: 8 days, 11:24:05 time: 2.3414 data_time: 0.1348 memory: 25793 grad_norm: 1.0417 loss: 1.3753 grounding_loss_reg: 3.7249 detection_loss_cls: 0.0652 detection_loss_reg: 0.4306 caption_loss_cls: 2.5885 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3042 instance_segmentation_loss_poly: 0.8570 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:38:17 - mmengine - INFO - Iter(train) [152900/480000] base_lr: 1.5443e-04 lr: 4.1519e-05 eta: 8 days, 10:58:29 time: 2.3426 data_time: 0.1347 memory: 25793 grad_norm: 1.0430 loss: 1.3782 grounding_loss_reg: 3.7256 detection_loss_cls: 0.0653 detection_loss_reg: 0.4309 caption_loss_cls: 2.5880 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8560 semantic_segmentation_loss_cls: 0.0146 2023/10/15 17:41:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 17:41:34 - mmengine - INFO - Iter(train) [153000/480000] base_lr: 1.5438e-04 lr: 4.1505e-05 eta: 8 days, 10:25:45 time: 2.3411 data_time: 0.1347 memory: 25793 grad_norm: 1.0408 loss: 1.3772 grounding_loss_reg: 3.7251 detection_loss_cls: 0.0652 detection_loss_reg: 0.4301 caption_loss_cls: 2.5881 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8562 semantic_segmentation_loss_cls: 0.0147 2023/10/15 17:41:34 - mmengine - INFO - Saving checkpoint at 153000 iterations 2023/10/15 17:46:52 - mmengine - INFO - Iter(train) [153100/480000] base_lr: 1.5432e-04 lr: 4.1491e-05 eta: 8 days, 12:03:33 time: 2.3529 data_time: 0.1349 memory: 26632 grad_norm: 1.0367 loss: 1.3677 grounding_loss_reg: 3.7237 detection_loss_cls: 0.0649 detection_loss_reg: 0.4293 caption_loss_cls: 2.5862 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3039 instance_segmentation_loss_poly: 0.8568 semantic_segmentation_loss_cls: 0.0147 2023/10/15 17:50:54 - mmengine - INFO - Iter(train) [153200/480000] base_lr: 1.5427e-04 lr: 4.1476e-05 eta: 8 days, 12:18:04 time: 2.3644 data_time: 0.1350 memory: 26632 grad_norm: 1.0378 loss: 1.3650 grounding_loss_reg: 3.7215 detection_loss_cls: 0.0647 detection_loss_reg: 0.4285 caption_loss_cls: 2.5846 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8551 semantic_segmentation_loss_cls: 0.0147 2023/10/15 17:55:05 - mmengine - INFO - Iter(train) [153300/480000] base_lr: 1.5421e-04 lr: 4.1462e-05 eta: 8 days, 12:40:13 time: 2.3685 data_time: 0.1350 memory: 26632 grad_norm: 1.0375 loss: 1.3614 grounding_loss_reg: 3.7192 detection_loss_cls: 0.0648 detection_loss_reg: 0.4294 caption_loss_cls: 2.5843 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8545 semantic_segmentation_loss_cls: 0.0147 2023/10/15 17:58:53 - mmengine - INFO - Iter(train) [153400/480000] base_lr: 1.5416e-04 lr: 4.1448e-05 eta: 8 days, 12:39:18 time: 2.3753 data_time: 0.1351 memory: 26632 grad_norm: 1.0359 loss: 1.3593 grounding_loss_reg: 3.7184 detection_loss_cls: 0.0649 detection_loss_reg: 0.4302 caption_loss_cls: 2.5819 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3040 instance_segmentation_loss_poly: 0.8571 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:03:10 - mmengine - INFO - Iter(train) [153500/480000] base_lr: 1.5410e-04 lr: 4.1434e-05 eta: 8 days, 13:06:44 time: 2.3856 data_time: 0.1352 memory: 25793 grad_norm: 1.0311 loss: 1.3531 grounding_loss_reg: 3.7174 detection_loss_cls: 0.0648 detection_loss_reg: 0.4300 caption_loss_cls: 2.5860 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8558 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:03:10 - mmengine - INFO - Saving checkpoint at 153500 iterations 2023/10/15 18:08:15 - mmengine - INFO - Iter(train) [153600/480000] base_lr: 1.5405e-04 lr: 4.1420e-05 eta: 8 days, 14:19:37 time: 2.3903 data_time: 0.1356 memory: 26632 grad_norm: 1.0519 loss: 1.3489 grounding_loss_reg: 3.7156 detection_loss_cls: 0.0649 detection_loss_reg: 0.4304 caption_loss_cls: 2.5842 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8537 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:12:06 - mmengine - INFO - Iter(train) [153700/480000] base_lr: 1.5399e-04 lr: 4.1406e-05 eta: 8 days, 14:19:13 time: 2.3923 data_time: 0.1355 memory: 26632 grad_norm: 1.0499 loss: 1.3531 grounding_loss_reg: 3.7147 detection_loss_cls: 0.0650 detection_loss_reg: 0.4317 caption_loss_cls: 2.5886 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8547 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:16:08 - mmengine - INFO - Iter(train) [153800/480000] base_lr: 1.5394e-04 lr: 4.1391e-05 eta: 8 days, 14:28:45 time: 2.3970 data_time: 0.1355 memory: 25793 grad_norm: 1.0492 loss: 1.3536 grounding_loss_reg: 3.7135 detection_loss_cls: 0.0651 detection_loss_reg: 0.4331 caption_loss_cls: 2.5850 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8552 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:20:18 - mmengine - INFO - Iter(train) [153900/480000] base_lr: 1.5388e-04 lr: 4.1377e-05 eta: 8 days, 14:45:25 time: 2.3977 data_time: 0.1356 memory: 25793 grad_norm: 1.0495 loss: 1.3490 grounding_loss_reg: 3.7129 detection_loss_cls: 0.0650 detection_loss_reg: 0.4326 caption_loss_cls: 2.5850 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8556 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:23:52 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 18:23:52 - mmengine - INFO - Iter(train) [154000/480000] base_lr: 1.5383e-04 lr: 4.1363e-05 eta: 8 days, 14:27:51 time: 2.3937 data_time: 0.1356 memory: 26632 grad_norm: 1.0500 loss: 1.3544 grounding_loss_reg: 3.7133 detection_loss_cls: 0.0651 detection_loss_reg: 0.4339 caption_loss_cls: 2.5827 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8545 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:23:52 - mmengine - INFO - Saving checkpoint at 154000 iterations 2023/10/15 18:28:54 - mmengine - INFO - Iter(train) [154100/480000] base_lr: 1.5377e-04 lr: 4.1349e-05 eta: 8 days, 15:30:21 time: 2.4187 data_time: 0.1508 memory: 26632 grad_norm: 1.0487 loss: 1.3511 grounding_loss_reg: 3.7129 detection_loss_cls: 0.0652 detection_loss_reg: 0.4345 caption_loss_cls: 2.5814 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8545 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:33:08 - mmengine - INFO - Iter(train) [154200/480000] base_lr: 1.5372e-04 lr: 4.1334e-05 eta: 8 days, 15:48:23 time: 2.4291 data_time: 0.1509 memory: 26632 grad_norm: 1.0442 loss: 1.3459 grounding_loss_reg: 3.7121 detection_loss_cls: 0.0650 detection_loss_reg: 0.4327 caption_loss_cls: 2.5778 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8559 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:37:07 - mmengine - INFO - Iter(train) [154300/480000] base_lr: 1.5366e-04 lr: 4.1320e-05 eta: 8 days, 15:52:02 time: 2.4356 data_time: 0.1509 memory: 25793 grad_norm: 1.0422 loss: 1.3454 grounding_loss_reg: 3.7107 detection_loss_cls: 0.0652 detection_loss_reg: 0.4336 caption_loss_cls: 2.5802 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8568 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:40:35 - mmengine - INFO - Iter(train) [154400/480000] base_lr: 1.5361e-04 lr: 4.1306e-05 eta: 8 days, 15:30:07 time: 2.4374 data_time: 0.1508 memory: 26632 grad_norm: 1.0390 loss: 1.3362 grounding_loss_reg: 3.7104 detection_loss_cls: 0.0651 detection_loss_reg: 0.4343 caption_loss_cls: 2.5762 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3037 instance_segmentation_loss_poly: 0.8572 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:44:44 - mmengine - INFO - Iter(train) [154500/480000] base_lr: 1.5355e-04 lr: 4.1292e-05 eta: 8 days, 15:42:47 time: 2.4439 data_time: 0.1509 memory: 25793 grad_norm: 1.0365 loss: 1.3364 grounding_loss_reg: 3.7101 detection_loss_cls: 0.0652 detection_loss_reg: 0.4348 caption_loss_cls: 2.5760 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8557 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:44:44 - mmengine - INFO - Saving checkpoint at 154500 iterations 2023/10/15 18:49:46 - mmengine - INFO - Iter(train) [154600/480000] base_lr: 1.5350e-04 lr: 4.1278e-05 eta: 8 days, 16:38:16 time: 2.4487 data_time: 0.1497 memory: 26632 grad_norm: 1.0386 loss: 1.3351 grounding_loss_reg: 3.7082 detection_loss_cls: 0.0652 detection_loss_reg: 0.4356 caption_loss_cls: 2.5779 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.3039 instance_segmentation_loss_poly: 0.8562 semantic_segmentation_loss_cls: 0.0147 2023/10/15 18:53:33 - mmengine - INFO - Iter(train) [154700/480000] base_lr: 1.5344e-04 lr: 4.1263e-05 eta: 8 days, 16:31:07 time: 2.4428 data_time: 0.1496 memory: 25793 grad_norm: 1.0372 loss: 1.3323 grounding_loss_reg: 3.7072 detection_loss_cls: 0.0653 detection_loss_reg: 0.4357 caption_loss_cls: 2.5775 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8552 semantic_segmentation_loss_cls: 0.0148 2023/10/15 18:57:20 - mmengine - INFO - Iter(train) [154800/480000] base_lr: 1.5339e-04 lr: 4.1249e-05 eta: 8 days, 16:24:21 time: 2.4490 data_time: 0.1496 memory: 25793 grad_norm: 1.0305 loss: 1.3233 grounding_loss_reg: 3.7067 detection_loss_cls: 0.0653 detection_loss_reg: 0.4367 caption_loss_cls: 2.5777 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8553 semantic_segmentation_loss_cls: 0.0148 2023/10/15 19:00:56 - mmengine - INFO - Iter(train) [154900/480000] base_lr: 1.5333e-04 lr: 4.1235e-05 eta: 8 days, 16:09:08 time: 2.4490 data_time: 0.1496 memory: 25793 grad_norm: 1.0365 loss: 1.3280 grounding_loss_reg: 3.7050 detection_loss_cls: 0.0653 detection_loss_reg: 0.4363 caption_loss_cls: 2.5748 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.3037 instance_segmentation_loss_poly: 0.8556 semantic_segmentation_loss_cls: 0.0148 2023/10/15 19:04:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 19:04:19 - mmengine - INFO - Iter(train) [155000/480000] base_lr: 1.5328e-04 lr: 4.1221e-05 eta: 8 days, 15:43:48 time: 2.4413 data_time: 0.1496 memory: 26632 grad_norm: 1.0405 loss: 1.3379 grounding_loss_reg: 3.7030 detection_loss_cls: 0.0653 detection_loss_reg: 0.4367 caption_loss_cls: 2.5728 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8552 semantic_segmentation_loss_cls: 0.0148 2023/10/15 19:04:19 - mmengine - INFO - Saving checkpoint at 155000 iterations 2023/10/15 19:09:03 - mmengine - INFO - Iter(train) [155100/480000] base_lr: 1.5322e-04 lr: 4.1206e-05 eta: 8 days, 16:20:53 time: 2.4374 data_time: 0.1501 memory: 26632 grad_norm: 1.0444 loss: 1.3375 grounding_loss_reg: 3.7031 detection_loss_cls: 0.0653 detection_loss_reg: 0.4366 caption_loss_cls: 2.5736 instance_segmentation_loss_cls: 0.0462 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8535 semantic_segmentation_loss_cls: 0.0148 2023/10/15 19:12:53 - mmengine - INFO - Iter(train) [155200/480000] base_lr: 1.5317e-04 lr: 4.1192e-05 eta: 8 days, 16:16:25 time: 2.4413 data_time: 0.1501 memory: 25793 grad_norm: 1.0420 loss: 1.3324 grounding_loss_reg: 3.7040 detection_loss_cls: 0.0654 detection_loss_reg: 0.4373 caption_loss_cls: 2.5737 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8512 semantic_segmentation_loss_cls: 0.0148 2023/10/15 19:17:12 - mmengine - INFO - Iter(train) [155300/480000] base_lr: 1.5311e-04 lr: 4.1178e-05 eta: 8 days, 16:33:33 time: 2.4451 data_time: 0.1501 memory: 26632 grad_norm: 1.0398 loss: 1.3264 grounding_loss_reg: 3.7023 detection_loss_cls: 0.0654 detection_loss_reg: 0.4373 caption_loss_cls: 2.5722 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8520 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:21:07 - mmengine - INFO - Iter(train) [155400/480000] base_lr: 1.5306e-04 lr: 4.1163e-05 eta: 8 days, 16:31:56 time: 2.4498 data_time: 0.1502 memory: 26632 grad_norm: 1.0380 loss: 1.3306 grounding_loss_reg: 3.7027 detection_loss_cls: 0.0655 detection_loss_reg: 0.4394 caption_loss_cls: 2.5709 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8526 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:25:17 - mmengine - INFO - Iter(train) [155500/480000] base_lr: 1.5300e-04 lr: 4.1149e-05 eta: 8 days, 16:41:57 time: 2.4540 data_time: 0.1502 memory: 25793 grad_norm: 1.0384 loss: 1.3381 grounding_loss_reg: 3.7029 detection_loss_cls: 0.0658 detection_loss_reg: 0.4406 caption_loss_cls: 2.5752 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8515 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:25:17 - mmengine - INFO - Saving checkpoint at 155500 iterations 2023/10/15 19:30:06 - mmengine - INFO - Iter(train) [155600/480000] base_lr: 1.5295e-04 lr: 4.1135e-05 eta: 8 days, 17:18:51 time: 2.4596 data_time: 0.1504 memory: 25793 grad_norm: 1.0320 loss: 1.3329 grounding_loss_reg: 3.7034 detection_loss_cls: 0.0658 detection_loss_reg: 0.4415 caption_loss_cls: 2.5764 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.8517 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:33:47 - mmengine - INFO - Iter(train) [155700/480000] base_lr: 1.5289e-04 lr: 4.1121e-05 eta: 8 days, 17:06:53 time: 2.4527 data_time: 0.1503 memory: 26632 grad_norm: 1.0378 loss: 1.3429 grounding_loss_reg: 3.6996 detection_loss_cls: 0.0659 detection_loss_reg: 0.4420 caption_loss_cls: 2.5804 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8521 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:37:34 - mmengine - INFO - Iter(train) [155800/480000] base_lr: 1.5284e-04 lr: 4.1106e-05 eta: 8 days, 16:59:34 time: 2.4502 data_time: 0.1503 memory: 26632 grad_norm: 1.0428 loss: 1.3484 grounding_loss_reg: 3.6999 detection_loss_cls: 0.0658 detection_loss_reg: 0.4424 caption_loss_cls: 2.5848 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8507 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:41:20 - mmengine - INFO - Iter(train) [155900/480000] base_lr: 1.5278e-04 lr: 4.1092e-05 eta: 8 days, 16:51:53 time: 2.4537 data_time: 0.1502 memory: 26632 grad_norm: 1.0438 loss: 1.3453 grounding_loss_reg: 3.6989 detection_loss_cls: 0.0660 detection_loss_reg: 0.4449 caption_loss_cls: 2.5831 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 0.8489 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:44:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 19:44:58 - mmengine - INFO - Iter(train) [156000/480000] base_lr: 1.5273e-04 lr: 4.1078e-05 eta: 8 days, 16:38:31 time: 2.4508 data_time: 0.1502 memory: 26632 grad_norm: 1.0420 loss: 1.3453 grounding_loss_reg: 3.6993 detection_loss_cls: 0.0659 detection_loss_reg: 0.4447 caption_loss_cls: 2.5855 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3014 instance_segmentation_loss_poly: 0.8475 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:44:58 - mmengine - INFO - Saving checkpoint at 156000 iterations 2023/10/15 19:50:22 - mmengine - INFO - Iter(train) [156100/480000] base_lr: 1.5267e-04 lr: 4.1063e-05 eta: 8 days, 17:35:31 time: 2.4584 data_time: 0.1504 memory: 26632 grad_norm: 1.0325 loss: 1.3458 grounding_loss_reg: 3.6992 detection_loss_cls: 0.0658 detection_loss_reg: 0.4443 caption_loss_cls: 2.5882 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8456 semantic_segmentation_loss_cls: 0.0147 2023/10/15 19:54:19 - mmengine - INFO - Iter(train) [156200/480000] base_lr: 1.5262e-04 lr: 4.1049e-05 eta: 8 days, 17:34:21 time: 2.4579 data_time: 0.1505 memory: 25793 grad_norm: 1.0319 loss: 1.3454 grounding_loss_reg: 3.6998 detection_loss_cls: 0.0656 detection_loss_reg: 0.4430 caption_loss_cls: 2.5849 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.8467 semantic_segmentation_loss_cls: 0.0146 2023/10/15 19:58:46 - mmengine - INFO - Iter(train) [156300/480000] base_lr: 1.5256e-04 lr: 4.1035e-05 eta: 8 days, 17:52:59 time: 2.4714 data_time: 0.1505 memory: 26632 grad_norm: 1.0302 loss: 1.3454 grounding_loss_reg: 3.6977 detection_loss_cls: 0.0659 detection_loss_reg: 0.4441 caption_loss_cls: 2.5863 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.8466 semantic_segmentation_loss_cls: 0.0146 2023/10/15 20:02:49 - mmengine - INFO - Iter(train) [156400/480000] base_lr: 1.5251e-04 lr: 4.1020e-05 eta: 8 days, 17:55:12 time: 2.4767 data_time: 0.1506 memory: 26632 grad_norm: 1.0670 loss: 1.3399 grounding_loss_reg: 3.6983 detection_loss_cls: 0.0659 detection_loss_reg: 0.4440 caption_loss_cls: 2.5868 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8460 semantic_segmentation_loss_cls: 0.0146 2023/10/15 20:06:44 - mmengine - INFO - Iter(train) [156500/480000] base_lr: 1.5245e-04 lr: 4.1006e-05 eta: 8 days, 17:51:50 time: 2.4781 data_time: 0.1507 memory: 25793 grad_norm: 1.0651 loss: 1.3477 grounding_loss_reg: 3.6971 detection_loss_cls: 0.0659 detection_loss_reg: 0.4438 caption_loss_cls: 2.5871 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3046 instance_segmentation_loss_poly: 0.8489 semantic_segmentation_loss_cls: 0.0146 2023/10/15 20:06:44 - mmengine - INFO - Saving checkpoint at 156500 iterations 2023/10/15 20:11:48 - mmengine - INFO - Iter(train) [156600/480000] base_lr: 1.5240e-04 lr: 4.0992e-05 eta: 8 days, 18:32:05 time: 2.4782 data_time: 0.1501 memory: 26632 grad_norm: 1.0654 loss: 1.3461 grounding_loss_reg: 3.6977 detection_loss_cls: 0.0660 detection_loss_reg: 0.4441 caption_loss_cls: 2.5860 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3039 instance_segmentation_loss_poly: 0.8480 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:15:27 - mmengine - INFO - Iter(train) [156700/480000] base_lr: 1.5234e-04 lr: 4.0977e-05 eta: 8 days, 18:18:53 time: 2.4721 data_time: 0.1501 memory: 26632 grad_norm: 1.0656 loss: 1.3507 grounding_loss_reg: 3.6987 detection_loss_cls: 0.0660 detection_loss_reg: 0.4447 caption_loss_cls: 2.5878 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3051 instance_segmentation_loss_poly: 0.8486 semantic_segmentation_loss_cls: 0.0146 2023/10/15 20:18:56 - mmengine - INFO - Iter(train) [156800/480000] base_lr: 1.5229e-04 lr: 4.0963e-05 eta: 8 days, 17:59:42 time: 2.4604 data_time: 0.1500 memory: 25793 grad_norm: 1.0718 loss: 1.3518 grounding_loss_reg: 3.6981 detection_loss_cls: 0.0659 detection_loss_reg: 0.4452 caption_loss_cls: 2.5848 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3051 instance_segmentation_loss_poly: 0.8485 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:22:52 - mmengine - INFO - Iter(train) [156900/480000] base_lr: 1.5223e-04 lr: 4.0948e-05 eta: 8 days, 17:56:45 time: 2.4683 data_time: 0.1501 memory: 26632 grad_norm: 1.0701 loss: 1.3488 grounding_loss_reg: 3.6975 detection_loss_cls: 0.0661 detection_loss_reg: 0.4464 caption_loss_cls: 2.5822 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8495 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:27:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 20:27:00 - mmengine - INFO - Iter(train) [157000/480000] base_lr: 1.5217e-04 lr: 4.0934e-05 eta: 8 days, 18:01:07 time: 2.4810 data_time: 0.1501 memory: 25793 grad_norm: 1.0624 loss: 1.3415 grounding_loss_reg: 3.6971 detection_loss_cls: 0.0661 detection_loss_reg: 0.4469 caption_loss_cls: 2.5803 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8519 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:27:00 - mmengine - INFO - Saving checkpoint at 157000 iterations 2023/10/15 20:32:02 - mmengine - INFO - Iter(train) [157100/480000] base_lr: 1.5212e-04 lr: 4.0920e-05 eta: 8 days, 18:37:50 time: 2.4772 data_time: 0.1502 memory: 25793 grad_norm: 1.0616 loss: 1.3444 grounding_loss_reg: 3.6969 detection_loss_cls: 0.0661 detection_loss_reg: 0.4468 caption_loss_cls: 2.5809 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8498 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:36:03 - mmengine - INFO - Iter(train) [157200/480000] base_lr: 1.5206e-04 lr: 4.0905e-05 eta: 8 days, 18:37:02 time: 2.4767 data_time: 0.1502 memory: 25793 grad_norm: 1.0580 loss: 1.3428 grounding_loss_reg: 3.6963 detection_loss_cls: 0.0662 detection_loss_reg: 0.4478 caption_loss_cls: 2.5794 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8508 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:39:41 - mmengine - INFO - Iter(train) [157300/480000] base_lr: 1.5201e-04 lr: 4.0891e-05 eta: 8 days, 18:23:25 time: 2.4687 data_time: 0.1501 memory: 25793 grad_norm: 1.0610 loss: 1.3449 grounding_loss_reg: 3.6943 detection_loss_cls: 0.0661 detection_loss_reg: 0.4479 caption_loss_cls: 2.5753 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8490 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:43:26 - mmengine - INFO - Iter(train) [157400/480000] base_lr: 1.5195e-04 lr: 4.0877e-05 eta: 8 days, 18:13:59 time: 2.4679 data_time: 0.1501 memory: 26632 grad_norm: 1.0558 loss: 1.3370 grounding_loss_reg: 3.6943 detection_loss_cls: 0.0659 detection_loss_reg: 0.4479 caption_loss_cls: 2.5741 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8486 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:47:03 - mmengine - INFO - Iter(train) [157500/480000] base_lr: 1.5190e-04 lr: 4.0862e-05 eta: 8 days, 18:00:16 time: 2.4579 data_time: 0.1500 memory: 25793 grad_norm: 1.0591 loss: 1.3444 grounding_loss_reg: 3.6939 detection_loss_cls: 0.0661 detection_loss_reg: 0.4496 caption_loss_cls: 2.5770 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8482 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:47:03 - mmengine - INFO - Saving checkpoint at 157500 iterations 2023/10/15 20:52:16 - mmengine - INFO - Iter(train) [157600/480000] base_lr: 1.5184e-04 lr: 4.0848e-05 eta: 8 days, 18:40:11 time: 2.4598 data_time: 0.1503 memory: 25793 grad_norm: 1.0388 loss: 1.3481 grounding_loss_reg: 3.6946 detection_loss_cls: 0.0661 detection_loss_reg: 0.4500 caption_loss_cls: 2.5740 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8478 semantic_segmentation_loss_cls: 0.0147 2023/10/15 20:55:58 - mmengine - INFO - Iter(train) [157700/480000] base_lr: 1.5179e-04 lr: 4.0833e-05 eta: 8 days, 18:28:56 time: 2.4575 data_time: 0.1503 memory: 25793 grad_norm: 1.0418 loss: 1.3434 grounding_loss_reg: 3.6940 detection_loss_cls: 0.0661 detection_loss_reg: 0.4506 caption_loss_cls: 2.5772 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3050 instance_segmentation_loss_poly: 0.8467 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:00:13 - mmengine - INFO - Iter(train) [157800/480000] base_lr: 1.5173e-04 lr: 4.0819e-05 eta: 8 days, 18:36:05 time: 2.4609 data_time: 0.1502 memory: 26632 grad_norm: 1.0432 loss: 1.3412 grounding_loss_reg: 3.6944 detection_loss_cls: 0.0661 detection_loss_reg: 0.4510 caption_loss_cls: 2.5760 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8470 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:04:01 - mmengine - INFO - Iter(train) [157900/480000] base_lr: 1.5167e-04 lr: 4.0804e-05 eta: 8 days, 18:27:47 time: 2.4552 data_time: 0.1502 memory: 26632 grad_norm: 1.0507 loss: 1.3412 grounding_loss_reg: 3.6934 detection_loss_cls: 0.0660 detection_loss_reg: 0.4495 caption_loss_cls: 2.5756 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8478 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:07:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 21:07:51 - mmengine - INFO - Iter(train) [158000/480000] base_lr: 1.5162e-04 lr: 4.0790e-05 eta: 8 days, 18:21:25 time: 2.4596 data_time: 0.1502 memory: 25793 grad_norm: 1.0520 loss: 1.3351 grounding_loss_reg: 3.6929 detection_loss_cls: 0.0660 detection_loss_reg: 0.4500 caption_loss_cls: 2.5721 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8473 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:07:51 - mmengine - INFO - Saving checkpoint at 158000 iterations 2023/10/15 21:13:22 - mmengine - INFO - Iter(train) [158100/480000] base_lr: 1.5156e-04 lr: 4.0776e-05 eta: 8 days, 19:08:03 time: 2.4666 data_time: 0.1501 memory: 26632 grad_norm: 1.0526 loss: 1.3403 grounding_loss_reg: 3.6921 detection_loss_cls: 0.0661 detection_loss_reg: 0.4517 caption_loss_cls: 2.5749 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8465 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:17:45 - mmengine - INFO - Iter(train) [158200/480000] base_lr: 1.5151e-04 lr: 4.0761e-05 eta: 8 days, 19:18:15 time: 2.4688 data_time: 0.1500 memory: 25793 grad_norm: 1.0517 loss: 1.3407 grounding_loss_reg: 3.6912 detection_loss_cls: 0.0660 detection_loss_reg: 0.4522 caption_loss_cls: 2.5750 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8467 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:21:59 - mmengine - INFO - Iter(train) [158300/480000] base_lr: 1.5145e-04 lr: 4.0747e-05 eta: 8 days, 19:23:44 time: 2.4728 data_time: 0.1500 memory: 26632 grad_norm: 1.0488 loss: 1.3384 grounding_loss_reg: 3.6916 detection_loss_cls: 0.0660 detection_loss_reg: 0.4526 caption_loss_cls: 2.5777 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8471 semantic_segmentation_loss_cls: 0.0147 2023/10/15 21:25:03 - mmengine - INFO - Iter(train) [158400/480000] base_lr: 1.5140e-04 lr: 4.0732e-05 eta: 8 days, 18:52:24 time: 2.4666 data_time: 0.1499 memory: 25793 grad_norm: 1.0545 loss: 1.3508 grounding_loss_reg: 3.6920 detection_loss_cls: 0.0660 detection_loss_reg: 0.4528 caption_loss_cls: 2.5820 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8472 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:29:08 - mmengine - INFO - Iter(train) [158500/480000] base_lr: 1.5134e-04 lr: 4.0718e-05 eta: 8 days, 18:53:20 time: 2.4657 data_time: 0.1498 memory: 25793 grad_norm: 1.0547 loss: 1.3448 grounding_loss_reg: 3.6910 detection_loss_cls: 0.0662 detection_loss_reg: 0.4537 caption_loss_cls: 2.5806 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8461 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:29:08 - mmengine - INFO - Saving checkpoint at 158500 iterations 2023/10/15 21:33:52 - mmengine - INFO - Iter(train) [158600/480000] base_lr: 1.5128e-04 lr: 4.0703e-05 eta: 8 days, 19:13:31 time: 2.4612 data_time: 0.1495 memory: 26632 grad_norm: 1.0580 loss: 1.3525 grounding_loss_reg: 3.6885 detection_loss_cls: 0.0662 detection_loss_reg: 0.4545 caption_loss_cls: 2.5858 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8456 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:37:26 - mmengine - INFO - Iter(train) [158700/480000] base_lr: 1.5123e-04 lr: 4.0689e-05 eta: 8 days, 18:58:02 time: 2.4579 data_time: 0.1495 memory: 26632 grad_norm: 1.0609 loss: 1.3577 grounding_loss_reg: 3.6883 detection_loss_cls: 0.0662 detection_loss_reg: 0.4537 caption_loss_cls: 2.5854 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8452 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:41:05 - mmengine - INFO - Iter(train) [158800/480000] base_lr: 1.5117e-04 lr: 4.0674e-05 eta: 8 days, 18:45:29 time: 2.4558 data_time: 0.1495 memory: 26632 grad_norm: 1.0649 loss: 1.3651 grounding_loss_reg: 3.6890 detection_loss_cls: 0.0663 detection_loss_reg: 0.4548 caption_loss_cls: 2.5846 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.8471 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:45:01 - mmengine - INFO - Iter(train) [158900/480000] base_lr: 1.5112e-04 lr: 4.0660e-05 eta: 8 days, 18:41:30 time: 2.4608 data_time: 0.1496 memory: 26632 grad_norm: 1.0604 loss: 1.3682 grounding_loss_reg: 3.6882 detection_loss_cls: 0.0663 detection_loss_reg: 0.4554 caption_loss_cls: 2.5885 instance_segmentation_loss_cls: 0.0479 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8483 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:48:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 21:48:37 - mmengine - INFO - Iter(train) [159000/480000] base_lr: 1.5106e-04 lr: 4.0645e-05 eta: 8 days, 18:27:51 time: 2.4642 data_time: 0.1496 memory: 26632 grad_norm: 1.0560 loss: 1.3621 grounding_loss_reg: 3.6890 detection_loss_cls: 0.0663 detection_loss_reg: 0.4553 caption_loss_cls: 2.5899 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8479 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:48:37 - mmengine - INFO - Saving checkpoint at 159000 iterations 2023/10/15 21:53:37 - mmengine - INFO - Iter(train) [159100/480000] base_lr: 1.5100e-04 lr: 4.0631e-05 eta: 8 days, 18:54:43 time: 2.4682 data_time: 0.1482 memory: 25793 grad_norm: 1.0507 loss: 1.3551 grounding_loss_reg: 3.6868 detection_loss_cls: 0.0663 detection_loss_reg: 0.4553 caption_loss_cls: 2.5903 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8483 semantic_segmentation_loss_cls: 0.0148 2023/10/15 21:57:29 - mmengine - INFO - Iter(train) [159200/480000] base_lr: 1.5095e-04 lr: 4.0616e-05 eta: 8 days, 18:48:14 time: 2.4685 data_time: 0.1482 memory: 26632 grad_norm: 1.0487 loss: 1.3522 grounding_loss_reg: 3.6862 detection_loss_cls: 0.0664 detection_loss_reg: 0.4565 caption_loss_cls: 2.5836 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8481 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:01:17 - mmengine - INFO - Iter(train) [159300/480000] base_lr: 1.5089e-04 lr: 4.0602e-05 eta: 8 days, 18:40:20 time: 2.4608 data_time: 0.1482 memory: 25793 grad_norm: 1.0529 loss: 1.3526 grounding_loss_reg: 3.6859 detection_loss_cls: 0.0665 detection_loss_reg: 0.4568 caption_loss_cls: 2.5810 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8457 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:04:53 - mmengine - INFO - Iter(train) [159400/480000] base_lr: 1.5084e-04 lr: 4.0587e-05 eta: 8 days, 18:26:37 time: 2.4561 data_time: 0.1481 memory: 26632 grad_norm: 1.0517 loss: 1.3515 grounding_loss_reg: 3.6866 detection_loss_cls: 0.0664 detection_loss_reg: 0.4570 caption_loss_cls: 2.5861 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8451 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:08:52 - mmengine - INFO - Iter(train) [159500/480000] base_lr: 1.5078e-04 lr: 4.0573e-05 eta: 8 days, 18:24:00 time: 2.4533 data_time: 0.1481 memory: 25793 grad_norm: 1.0479 loss: 1.3466 grounding_loss_reg: 3.6870 detection_loss_cls: 0.0666 detection_loss_reg: 0.4588 caption_loss_cls: 2.5886 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8459 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:08:52 - mmengine - INFO - Saving checkpoint at 159500 iterations 2023/10/15 22:13:38 - mmengine - INFO - Iter(train) [159600/480000] base_lr: 1.5072e-04 lr: 4.0558e-05 eta: 8 days, 18:42:52 time: 2.4526 data_time: 0.1469 memory: 26632 grad_norm: 1.0539 loss: 1.3580 grounding_loss_reg: 3.6864 detection_loss_cls: 0.0674 detection_loss_reg: 0.4611 caption_loss_cls: 2.5894 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8461 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:17:38 - mmengine - INFO - Iter(train) [159700/480000] base_lr: 1.5067e-04 lr: 4.0544e-05 eta: 8 days, 18:40:21 time: 2.4574 data_time: 0.1469 memory: 25793 grad_norm: 1.0532 loss: 1.3495 grounding_loss_reg: 3.6866 detection_loss_cls: 0.0671 detection_loss_reg: 0.4612 caption_loss_cls: 2.5895 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8437 semantic_segmentation_loss_cls: 0.0147 2023/10/15 22:21:59 - mmengine - INFO - Iter(train) [159800/480000] base_lr: 1.5061e-04 lr: 4.0529e-05 eta: 8 days, 18:47:21 time: 2.4658 data_time: 0.1469 memory: 26632 grad_norm: 1.0463 loss: 1.3385 grounding_loss_reg: 3.6865 detection_loss_cls: 0.0671 detection_loss_reg: 0.4605 caption_loss_cls: 2.5866 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8423 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:25:50 - mmengine - INFO - Iter(train) [159900/480000] base_lr: 1.5056e-04 lr: 4.0515e-05 eta: 8 days, 18:40:51 time: 2.4670 data_time: 0.1469 memory: 25793 grad_norm: 1.0442 loss: 1.3394 grounding_loss_reg: 3.6862 detection_loss_cls: 0.0672 detection_loss_reg: 0.4623 caption_loss_cls: 2.5903 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8404 semantic_segmentation_loss_cls: 0.0147 2023/10/15 22:29:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 22:29:09 - mmengine - INFO - Iter(train) [160000/480000] base_lr: 1.5050e-04 lr: 4.0500e-05 eta: 8 days, 18:19:57 time: 2.4622 data_time: 0.1468 memory: 26632 grad_norm: 1.0517 loss: 1.3442 grounding_loss_reg: 3.6873 detection_loss_cls: 0.0673 detection_loss_reg: 0.4622 caption_loss_cls: 2.5909 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8404 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:29:09 - mmengine - INFO - Saving checkpoint at 160000 iterations 2023/10/15 22:34:00 - mmengine - INFO - Iter(train) [160100/480000] base_lr: 1.5044e-04 lr: 4.0486e-05 eta: 8 days, 18:39:52 time: 2.4541 data_time: 0.1455 memory: 26632 grad_norm: 1.0519 loss: 1.3362 grounding_loss_reg: 3.6871 detection_loss_cls: 0.0673 detection_loss_reg: 0.4622 caption_loss_cls: 2.5890 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8389 semantic_segmentation_loss_cls: 0.0147 2023/10/15 22:37:46 - mmengine - INFO - Iter(train) [160200/480000] base_lr: 1.5039e-04 lr: 4.0471e-05 eta: 8 days, 18:31:16 time: 2.4515 data_time: 0.1454 memory: 26632 grad_norm: 1.0535 loss: 1.3379 grounding_loss_reg: 3.6859 detection_loss_cls: 0.0675 detection_loss_reg: 0.4630 caption_loss_cls: 2.5884 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8382 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:41:30 - mmengine - INFO - Iter(train) [160300/480000] base_lr: 1.5033e-04 lr: 4.0456e-05 eta: 8 days, 18:21:45 time: 2.4406 data_time: 0.1453 memory: 26632 grad_norm: 1.0520 loss: 1.3322 grounding_loss_reg: 3.6863 detection_loss_cls: 0.0673 detection_loss_reg: 0.4626 caption_loss_cls: 2.5857 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3051 instance_segmentation_loss_poly: 0.8383 semantic_segmentation_loss_cls: 0.0147 2023/10/15 22:45:32 - mmengine - INFO - Iter(train) [160400/480000] base_lr: 1.5028e-04 lr: 4.0442e-05 eta: 8 days, 18:19:52 time: 2.4403 data_time: 0.1452 memory: 26632 grad_norm: 1.0129 loss: 1.3286 grounding_loss_reg: 3.6834 detection_loss_cls: 0.0675 detection_loss_reg: 0.4645 caption_loss_cls: 2.5855 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8390 semantic_segmentation_loss_cls: 0.0148 2023/10/15 22:49:45 - mmengine - INFO - Iter(train) [160500/480000] base_lr: 1.5022e-04 lr: 4.0427e-05 eta: 8 days, 18:22:49 time: 2.4450 data_time: 0.1451 memory: 26632 grad_norm: 1.0100 loss: 1.3230 grounding_loss_reg: 3.6824 detection_loss_cls: 0.0675 detection_loss_reg: 0.4648 caption_loss_cls: 2.5879 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8390 semantic_segmentation_loss_cls: 0.0147 2023/10/15 22:49:45 - mmengine - INFO - Saving checkpoint at 160500 iterations 2023/10/15 22:54:48 - mmengine - INFO - Iter(train) [160600/480000] base_lr: 1.5016e-04 lr: 4.0413e-05 eta: 8 days, 18:46:38 time: 2.4447 data_time: 0.1442 memory: 25793 grad_norm: 1.0150 loss: 1.3267 grounding_loss_reg: 3.6805 detection_loss_cls: 0.0674 detection_loss_reg: 0.4647 caption_loss_cls: 2.5863 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0147 2023/10/15 22:58:32 - mmengine - INFO - Iter(train) [160700/480000] base_lr: 1.5011e-04 lr: 4.0398e-05 eta: 8 days, 18:37:10 time: 2.4459 data_time: 0.1441 memory: 25793 grad_norm: 1.0197 loss: 1.3246 grounding_loss_reg: 3.6814 detection_loss_cls: 0.0677 detection_loss_reg: 0.4660 caption_loss_cls: 2.5836 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8397 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:02:51 - mmengine - INFO - Iter(train) [160800/480000] base_lr: 1.5005e-04 lr: 4.0384e-05 eta: 8 days, 18:41:49 time: 2.4582 data_time: 0.1442 memory: 26632 grad_norm: 1.0155 loss: 1.3244 grounding_loss_reg: 3.6812 detection_loss_cls: 0.0676 detection_loss_reg: 0.4647 caption_loss_cls: 2.5845 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8414 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:07:04 - mmengine - INFO - Iter(train) [160900/480000] base_lr: 1.4999e-04 lr: 4.0369e-05 eta: 8 days, 18:44:24 time: 2.4627 data_time: 0.1442 memory: 26632 grad_norm: 1.0101 loss: 1.3206 grounding_loss_reg: 3.6805 detection_loss_cls: 0.0673 detection_loss_reg: 0.4648 caption_loss_cls: 2.5827 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8420 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:10:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 23:10:44 - mmengine - INFO - Iter(train) [161000/480000] base_lr: 1.4994e-04 lr: 4.0354e-05 eta: 8 days, 18:33:13 time: 2.4558 data_time: 0.1441 memory: 25793 grad_norm: 1.0131 loss: 1.3233 grounding_loss_reg: 3.6798 detection_loss_cls: 0.0672 detection_loss_reg: 0.4648 caption_loss_cls: 2.5879 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8408 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:10:44 - mmengine - INFO - Saving checkpoint at 161000 iterations 2023/10/15 23:16:05 - mmengine - INFO - Iter(train) [161100/480000] base_lr: 1.4988e-04 lr: 4.0340e-05 eta: 8 days, 19:03:07 time: 2.4604 data_time: 0.1433 memory: 26632 grad_norm: 1.0157 loss: 1.3257 grounding_loss_reg: 3.6796 detection_loss_cls: 0.0672 detection_loss_reg: 0.4648 caption_loss_cls: 2.5889 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8406 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:19:50 - mmengine - INFO - Iter(train) [161200/480000] base_lr: 1.4983e-04 lr: 4.0325e-05 eta: 8 days, 18:53:36 time: 2.4564 data_time: 0.1433 memory: 25793 grad_norm: 1.0231 loss: 1.3355 grounding_loss_reg: 3.6798 detection_loss_cls: 0.0672 detection_loss_reg: 0.4647 caption_loss_cls: 2.5865 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:23:25 - mmengine - INFO - Iter(train) [161300/480000] base_lr: 1.4977e-04 lr: 4.0311e-05 eta: 8 days, 18:40:31 time: 2.4557 data_time: 0.1433 memory: 26632 grad_norm: 1.0266 loss: 1.3458 grounding_loss_reg: 3.6788 detection_loss_cls: 0.0671 detection_loss_reg: 0.4641 caption_loss_cls: 2.5894 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:27:30 - mmengine - INFO - Iter(train) [161400/480000] base_lr: 1.4971e-04 lr: 4.0296e-05 eta: 8 days, 18:39:06 time: 2.4606 data_time: 0.1433 memory: 26632 grad_norm: 1.0270 loss: 1.3497 grounding_loss_reg: 3.6788 detection_loss_cls: 0.0674 detection_loss_reg: 0.4665 caption_loss_cls: 2.5866 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.8411 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:31:09 - mmengine - INFO - Iter(train) [161500/480000] base_lr: 1.4966e-04 lr: 4.0281e-05 eta: 8 days, 18:27:59 time: 2.4612 data_time: 0.1433 memory: 25793 grad_norm: 1.0285 loss: 1.3489 grounding_loss_reg: 3.6784 detection_loss_cls: 0.0671 detection_loss_reg: 0.4683 caption_loss_cls: 2.5857 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8425 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:31:09 - mmengine - INFO - Saving checkpoint at 161500 iterations 2023/10/15 23:35:58 - mmengine - INFO - Iter(train) [161600/480000] base_lr: 1.4960e-04 lr: 4.0267e-05 eta: 8 days, 18:43:56 time: 2.4553 data_time: 0.1418 memory: 25793 grad_norm: 1.0312 loss: 1.3497 grounding_loss_reg: 3.6783 detection_loss_cls: 0.0617 detection_loss_reg: 0.4674 caption_loss_cls: 2.5822 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8416 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:39:43 - mmengine - INFO - Iter(train) [161700/480000] base_lr: 1.4954e-04 lr: 4.0252e-05 eta: 8 days, 18:34:37 time: 2.4559 data_time: 0.1418 memory: 26632 grad_norm: 1.0246 loss: 1.3528 grounding_loss_reg: 3.6783 detection_loss_cls: 0.0613 detection_loss_reg: 0.4669 caption_loss_cls: 2.5860 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8414 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:43:54 - mmengine - INFO - Iter(train) [161800/480000] base_lr: 1.4949e-04 lr: 4.0237e-05 eta: 8 days, 18:35:24 time: 2.4547 data_time: 0.1419 memory: 26632 grad_norm: 1.0210 loss: 1.3548 grounding_loss_reg: 3.6785 detection_loss_cls: 0.0609 detection_loss_reg: 0.4666 caption_loss_cls: 2.5830 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8419 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:48:09 - mmengine - INFO - Iter(train) [161900/480000] base_lr: 1.4943e-04 lr: 4.0223e-05 eta: 8 days, 18:38:08 time: 2.4618 data_time: 0.1419 memory: 26632 grad_norm: 1.0135 loss: 1.3554 grounding_loss_reg: 3.6771 detection_loss_cls: 0.0606 detection_loss_reg: 0.4659 caption_loss_cls: 2.5768 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8420 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:52:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/15 23:52:01 - mmengine - INFO - Iter(train) [162000/480000] base_lr: 1.4937e-04 lr: 4.0208e-05 eta: 8 days, 18:31:39 time: 2.4621 data_time: 0.1419 memory: 25793 grad_norm: 1.0116 loss: 1.3569 grounding_loss_reg: 3.6752 detection_loss_cls: 0.0606 detection_loss_reg: 0.4667 caption_loss_cls: 2.5780 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 0.8434 semantic_segmentation_loss_cls: 0.0147 2023/10/15 23:52:01 - mmengine - INFO - Saving checkpoint at 162000 iterations 2023/10/15 23:57:02 - mmengine - INFO - Iter(train) [162100/480000] base_lr: 1.4932e-04 lr: 4.0193e-05 eta: 8 days, 18:51:19 time: 2.4548 data_time: 0.1411 memory: 26632 grad_norm: 1.0148 loss: 1.3584 grounding_loss_reg: 3.6748 detection_loss_cls: 0.0606 detection_loss_reg: 0.4666 caption_loss_cls: 2.5808 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8427 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:00:56 - mmengine - INFO - Iter(train) [162200/480000] base_lr: 1.4926e-04 lr: 4.0179e-05 eta: 8 days, 18:45:16 time: 2.4474 data_time: 0.1411 memory: 26632 grad_norm: 1.0185 loss: 1.3646 grounding_loss_reg: 3.6761 detection_loss_cls: 0.0605 detection_loss_reg: 0.4677 caption_loss_cls: 2.5803 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0147 2023/10/16 00:04:42 - mmengine - INFO - Iter(train) [162300/480000] base_lr: 1.4920e-04 lr: 4.0164e-05 eta: 8 days, 18:36:46 time: 2.4404 data_time: 0.1410 memory: 26632 grad_norm: 1.0234 loss: 1.3672 grounding_loss_reg: 3.6753 detection_loss_cls: 0.0604 detection_loss_reg: 0.4681 caption_loss_cls: 2.5797 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0147 2023/10/16 00:08:52 - mmengine - INFO - Iter(train) [162400/480000] base_lr: 1.4915e-04 lr: 4.0149e-05 eta: 8 days, 18:36:40 time: 2.4568 data_time: 0.1411 memory: 25793 grad_norm: 1.0155 loss: 1.3557 grounding_loss_reg: 3.6749 detection_loss_cls: 0.0594 detection_loss_reg: 0.4661 caption_loss_cls: 2.5820 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8425 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:12:55 - mmengine - INFO - Iter(train) [162500/480000] base_lr: 1.4909e-04 lr: 4.0135e-05 eta: 8 days, 18:34:23 time: 2.4563 data_time: 0.1411 memory: 25793 grad_norm: 1.0160 loss: 1.3584 grounding_loss_reg: 3.6744 detection_loss_cls: 0.0592 detection_loss_reg: 0.4649 caption_loss_cls: 2.5813 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8422 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:12:55 - mmengine - INFO - Saving checkpoint at 162500 iterations 2023/10/16 00:18:11 - mmengine - INFO - Iter(train) [162600/480000] base_lr: 1.4903e-04 lr: 4.0120e-05 eta: 8 days, 18:58:22 time: 2.4643 data_time: 0.1405 memory: 26632 grad_norm: 1.0053 loss: 1.3420 grounding_loss_reg: 3.6751 detection_loss_cls: 0.0591 detection_loss_reg: 0.4646 caption_loss_cls: 2.5761 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8413 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:21:55 - mmengine - INFO - Iter(train) [162700/480000] base_lr: 1.4898e-04 lr: 4.0105e-05 eta: 8 days, 18:48:57 time: 2.4670 data_time: 0.1405 memory: 26632 grad_norm: 1.0064 loss: 1.3445 grounding_loss_reg: 3.6738 detection_loss_cls: 0.0590 detection_loss_reg: 0.4635 caption_loss_cls: 2.5753 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8404 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:25:34 - mmengine - INFO - Iter(train) [162800/480000] base_lr: 1.4892e-04 lr: 4.0091e-05 eta: 8 days, 18:37:35 time: 2.4669 data_time: 0.1405 memory: 25793 grad_norm: 1.0037 loss: 1.3412 grounding_loss_reg: 3.6737 detection_loss_cls: 0.0588 detection_loss_reg: 0.4639 caption_loss_cls: 2.5752 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:29:35 - mmengine - INFO - Iter(train) [162900/480000] base_lr: 1.4886e-04 lr: 4.0076e-05 eta: 8 days, 18:34:30 time: 2.4682 data_time: 0.1404 memory: 26632 grad_norm: 1.0030 loss: 1.3366 grounding_loss_reg: 3.6728 detection_loss_cls: 0.0589 detection_loss_reg: 0.4647 caption_loss_cls: 2.5737 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8401 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:33:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 00:33:31 - mmengine - INFO - Iter(train) [163000/480000] base_lr: 1.4881e-04 lr: 4.0061e-05 eta: 8 days, 18:29:14 time: 2.4730 data_time: 0.1405 memory: 26632 grad_norm: 1.0046 loss: 1.3415 grounding_loss_reg: 3.6727 detection_loss_cls: 0.0588 detection_loss_reg: 0.4645 caption_loss_cls: 2.5776 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8410 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:33:31 - mmengine - INFO - Saving checkpoint at 163000 iterations 2023/10/16 00:38:34 - mmengine - INFO - Iter(train) [163100/480000] base_lr: 1.4875e-04 lr: 4.0047e-05 eta: 8 days, 18:47:37 time: 2.4738 data_time: 0.1410 memory: 25793 grad_norm: 1.0035 loss: 1.3435 grounding_loss_reg: 3.6717 detection_loss_cls: 0.0580 detection_loss_reg: 0.4618 caption_loss_cls: 2.5801 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8417 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:42:29 - mmengine - INFO - Iter(train) [163200/480000] base_lr: 1.4869e-04 lr: 4.0032e-05 eta: 8 days, 18:42:00 time: 2.4747 data_time: 0.1410 memory: 25793 grad_norm: 1.0017 loss: 1.3394 grounding_loss_reg: 3.6702 detection_loss_cls: 0.0579 detection_loss_reg: 0.4610 caption_loss_cls: 2.5786 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8395 semantic_segmentation_loss_cls: 0.0146 2023/10/16 00:46:06 - mmengine - INFO - Iter(train) [163300/480000] base_lr: 1.4864e-04 lr: 4.0017e-05 eta: 8 days, 18:30:19 time: 2.4719 data_time: 0.1410 memory: 26632 grad_norm: 1.0019 loss: 1.3418 grounding_loss_reg: 3.6687 detection_loss_cls: 0.0579 detection_loss_reg: 0.4615 caption_loss_cls: 2.5775 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8389 semantic_segmentation_loss_cls: 0.0147 2023/10/16 00:50:06 - mmengine - INFO - Iter(train) [163400/480000] base_lr: 1.4858e-04 lr: 4.0002e-05 eta: 8 days, 18:26:42 time: 2.4781 data_time: 0.1410 memory: 25793 grad_norm: 1.0019 loss: 1.3374 grounding_loss_reg: 3.6683 detection_loss_cls: 0.0576 detection_loss_reg: 0.4611 caption_loss_cls: 2.5736 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8384 semantic_segmentation_loss_cls: 0.0147 2023/10/16 00:54:01 - mmengine - INFO - Iter(train) [163500/480000] base_lr: 1.4852e-04 lr: 3.9988e-05 eta: 8 days, 18:21:02 time: 2.4769 data_time: 0.1410 memory: 26632 grad_norm: 1.0068 loss: 1.3374 grounding_loss_reg: 3.6673 detection_loss_cls: 0.0577 detection_loss_reg: 0.4615 caption_loss_cls: 2.5731 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8395 semantic_segmentation_loss_cls: 0.0147 2023/10/16 00:54:01 - mmengine - INFO - Saving checkpoint at 163500 iterations 2023/10/16 00:58:56 - mmengine - INFO - Iter(train) [163600/480000] base_lr: 1.4847e-04 lr: 3.9973e-05 eta: 8 days, 18:35:56 time: 2.4792 data_time: 0.1407 memory: 26632 grad_norm: 1.0007 loss: 1.3252 grounding_loss_reg: 3.6661 detection_loss_cls: 0.0577 detection_loss_reg: 0.4604 caption_loss_cls: 2.5730 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3093 instance_segmentation_loss_poly: 0.8400 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:02:41 - mmengine - INFO - Iter(train) [163700/480000] base_lr: 1.4841e-04 lr: 3.9958e-05 eta: 8 days, 18:27:06 time: 2.4755 data_time: 0.1407 memory: 25793 grad_norm: 1.0027 loss: 1.3296 grounding_loss_reg: 3.6663 detection_loss_cls: 0.0578 detection_loss_reg: 0.4604 caption_loss_cls: 2.5731 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:06:45 - mmengine - INFO - Iter(train) [163800/480000] base_lr: 1.4835e-04 lr: 3.9943e-05 eta: 8 days, 18:24:38 time: 2.4713 data_time: 0.1407 memory: 25793 grad_norm: 1.0032 loss: 1.3347 grounding_loss_reg: 3.6656 detection_loss_cls: 0.0578 detection_loss_reg: 0.4606 caption_loss_cls: 2.5753 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.8400 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:10:29 - mmengine - INFO - Iter(train) [163900/480000] base_lr: 1.4830e-04 lr: 3.9929e-05 eta: 8 days, 18:15:26 time: 2.4694 data_time: 0.1406 memory: 26632 grad_norm: 1.0042 loss: 1.3288 grounding_loss_reg: 3.6627 detection_loss_cls: 0.0578 detection_loss_reg: 0.4604 caption_loss_cls: 2.5745 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 0.8379 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:14:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 01:14:40 - mmengine - INFO - Iter(train) [164000/480000] base_lr: 1.4824e-04 lr: 3.9914e-05 eta: 8 days, 18:15:14 time: 2.4825 data_time: 0.1407 memory: 26632 grad_norm: 0.9925 loss: 1.3191 grounding_loss_reg: 3.6622 detection_loss_cls: 0.0578 detection_loss_reg: 0.4599 caption_loss_cls: 2.5734 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8392 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:14:40 - mmengine - INFO - Saving checkpoint at 164000 iterations 2023/10/16 01:19:23 - mmengine - INFO - Iter(train) [164100/480000] base_lr: 1.4818e-04 lr: 3.9899e-05 eta: 8 days, 18:25:25 time: 2.4805 data_time: 0.1411 memory: 25793 grad_norm: 0.9949 loss: 1.3326 grounding_loss_reg: 3.6622 detection_loss_cls: 0.0579 detection_loss_reg: 0.4607 caption_loss_cls: 2.5786 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.8398 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:22:55 - mmengine - INFO - Iter(train) [164200/480000] base_lr: 1.4813e-04 lr: 3.9884e-05 eta: 8 days, 18:12:32 time: 2.4770 data_time: 0.1410 memory: 25793 grad_norm: 0.9944 loss: 1.3336 grounding_loss_reg: 3.6609 detection_loss_cls: 0.0579 detection_loss_reg: 0.4602 caption_loss_cls: 2.5824 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3096 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:26:33 - mmengine - INFO - Iter(train) [164300/480000] base_lr: 1.4807e-04 lr: 3.9870e-05 eta: 8 days, 18:01:33 time: 2.4755 data_time: 0.1410 memory: 25793 grad_norm: 0.9951 loss: 1.3376 grounding_loss_reg: 3.6599 detection_loss_cls: 0.0579 detection_loss_reg: 0.4600 caption_loss_cls: 2.5841 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3096 instance_segmentation_loss_poly: 0.8405 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:30:02 - mmengine - INFO - Iter(train) [164400/480000] base_lr: 1.4801e-04 lr: 3.9855e-05 eta: 8 days, 17:47:30 time: 2.4671 data_time: 0.1411 memory: 25793 grad_norm: 0.9991 loss: 1.3531 grounding_loss_reg: 3.6598 detection_loss_cls: 0.0579 detection_loss_reg: 0.4605 caption_loss_cls: 2.5874 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3101 instance_segmentation_loss_poly: 0.8424 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:34:12 - mmengine - INFO - Iter(train) [164500/480000] base_lr: 1.4795e-04 lr: 3.9840e-05 eta: 8 days, 17:46:58 time: 2.4663 data_time: 0.1410 memory: 25793 grad_norm: 1.0045 loss: 1.3537 grounding_loss_reg: 3.6597 detection_loss_cls: 0.0583 detection_loss_reg: 0.4602 caption_loss_cls: 2.5866 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3100 instance_segmentation_loss_poly: 0.8425 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:34:12 - mmengine - INFO - Saving checkpoint at 164500 iterations 2023/10/16 01:39:09 - mmengine - INFO - Iter(train) [164600/480000] base_lr: 1.4790e-04 lr: 3.9825e-05 eta: 8 days, 18:01:16 time: 2.4649 data_time: 0.1409 memory: 26632 grad_norm: 0.9980 loss: 1.3501 grounding_loss_reg: 3.6599 detection_loss_cls: 0.0583 detection_loss_reg: 0.4607 caption_loss_cls: 2.5888 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.8419 semantic_segmentation_loss_cls: 0.0146 2023/10/16 01:42:26 - mmengine - INFO - Iter(train) [164700/480000] base_lr: 1.4784e-04 lr: 3.9810e-05 eta: 8 days, 17:43:52 time: 2.4581 data_time: 0.1409 memory: 26632 grad_norm: 0.9957 loss: 1.3505 grounding_loss_reg: 3.6601 detection_loss_cls: 0.0583 detection_loss_reg: 0.4597 caption_loss_cls: 2.5933 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.8420 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:46:04 - mmengine - INFO - Iter(train) [164800/480000] base_lr: 1.4778e-04 lr: 3.9796e-05 eta: 8 days, 17:33:12 time: 2.4481 data_time: 0.1408 memory: 25793 grad_norm: 0.9947 loss: 1.3462 grounding_loss_reg: 3.6581 detection_loss_cls: 0.0584 detection_loss_reg: 0.4606 caption_loss_cls: 2.5905 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3106 instance_segmentation_loss_poly: 0.8430 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:49:54 - mmengine - INFO - Iter(train) [164900/480000] base_lr: 1.4773e-04 lr: 3.9781e-05 eta: 8 days, 17:26:21 time: 2.4422 data_time: 0.1409 memory: 26632 grad_norm: 1.0007 loss: 1.3558 grounding_loss_reg: 3.6580 detection_loss_cls: 0.0582 detection_loss_reg: 0.4604 caption_loss_cls: 2.5930 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3115 instance_segmentation_loss_poly: 0.8444 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:53:52 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 01:53:52 - mmengine - INFO - Iter(train) [165000/480000] base_lr: 1.4767e-04 lr: 3.9766e-05 eta: 8 days, 17:21:56 time: 2.4467 data_time: 0.1409 memory: 25793 grad_norm: 1.0024 loss: 1.3606 grounding_loss_reg: 3.6586 detection_loss_cls: 0.0581 detection_loss_reg: 0.4604 caption_loss_cls: 2.5971 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8438 semantic_segmentation_loss_cls: 0.0147 2023/10/16 01:53:52 - mmengine - INFO - Saving checkpoint at 165000 iterations 2023/10/16 01:58:39 - mmengine - INFO - Iter(train) [165100/480000] base_lr: 1.4761e-04 lr: 3.9751e-05 eta: 8 days, 17:32:33 time: 2.4381 data_time: 0.1408 memory: 25793 grad_norm: 1.0057 loss: 1.3607 grounding_loss_reg: 3.6556 detection_loss_cls: 0.0582 detection_loss_reg: 0.4605 caption_loss_cls: 2.5980 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 0.8430 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:02:23 - mmengine - INFO - Iter(train) [165200/480000] base_lr: 1.4755e-04 lr: 3.9736e-05 eta: 8 days, 17:23:47 time: 2.4380 data_time: 0.1408 memory: 26632 grad_norm: 1.0016 loss: 1.3567 grounding_loss_reg: 3.6541 detection_loss_cls: 0.0580 detection_loss_reg: 0.4606 caption_loss_cls: 2.5960 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3119 instance_segmentation_loss_poly: 0.8443 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:06:21 - mmengine - INFO - Iter(train) [165300/480000] base_lr: 1.4750e-04 lr: 3.9722e-05 eta: 8 days, 17:19:15 time: 2.4436 data_time: 0.1408 memory: 26632 grad_norm: 1.0228 loss: 1.3513 grounding_loss_reg: 3.6526 detection_loss_cls: 0.0578 detection_loss_reg: 0.4607 caption_loss_cls: 2.6001 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 0.8409 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:09:53 - mmengine - INFO - Iter(train) [165400/480000] base_lr: 1.4744e-04 lr: 3.9707e-05 eta: 8 days, 17:07:06 time: 2.4356 data_time: 0.1408 memory: 26632 grad_norm: 1.0271 loss: 1.3557 grounding_loss_reg: 3.6531 detection_loss_cls: 0.0578 detection_loss_reg: 0.4598 caption_loss_cls: 2.6029 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 0.8415 semantic_segmentation_loss_cls: 0.0146 2023/10/16 02:13:50 - mmengine - INFO - Iter(train) [165500/480000] base_lr: 1.4738e-04 lr: 3.9692e-05 eta: 8 days, 17:02:28 time: 2.4399 data_time: 0.1408 memory: 26632 grad_norm: 1.0280 loss: 1.3534 grounding_loss_reg: 3.6501 detection_loss_cls: 0.0578 detection_loss_reg: 0.4601 caption_loss_cls: 2.6052 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.3113 instance_segmentation_loss_poly: 0.8409 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:13:50 - mmengine - INFO - Saving checkpoint at 165500 iterations 2023/10/16 02:18:53 - mmengine - INFO - Iter(train) [165600/480000] base_lr: 1.4733e-04 lr: 3.9677e-05 eta: 8 days, 17:17:13 time: 2.4432 data_time: 0.1408 memory: 25793 grad_norm: 1.0294 loss: 1.3587 grounding_loss_reg: 3.6497 detection_loss_cls: 0.0577 detection_loss_reg: 0.4592 caption_loss_cls: 2.6041 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 0.8404 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:23:04 - mmengine - INFO - Iter(train) [165700/480000] base_lr: 1.4727e-04 lr: 3.9662e-05 eta: 8 days, 17:16:40 time: 2.4499 data_time: 0.1408 memory: 25793 grad_norm: 1.0275 loss: 1.3476 grounding_loss_reg: 3.6492 detection_loss_cls: 0.0576 detection_loss_reg: 0.4597 caption_loss_cls: 2.6021 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_reg: 0.3111 instance_segmentation_loss_poly: 0.8396 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:27:00 - mmengine - INFO - Iter(train) [165800/480000] base_lr: 1.4721e-04 lr: 3.9647e-05 eta: 8 days, 17:11:39 time: 2.4463 data_time: 0.1408 memory: 25793 grad_norm: 1.0304 loss: 1.3509 grounding_loss_reg: 3.6494 detection_loss_cls: 0.0575 detection_loss_reg: 0.4598 caption_loss_cls: 2.6030 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_reg: 0.3108 instance_segmentation_loss_poly: 0.8387 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:30:30 - mmengine - INFO - Iter(train) [165900/480000] base_lr: 1.4715e-04 lr: 3.9632e-05 eta: 8 days, 16:58:45 time: 2.4347 data_time: 0.1407 memory: 25793 grad_norm: 1.0374 loss: 1.3542 grounding_loss_reg: 3.6475 detection_loss_cls: 0.0573 detection_loss_reg: 0.4587 caption_loss_cls: 2.6036 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_reg: 0.3106 instance_segmentation_loss_poly: 0.8381 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:34:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 02:34:33 - mmengine - INFO - Iter(train) [166000/480000] base_lr: 1.4710e-04 lr: 3.9618e-05 eta: 8 days, 16:55:55 time: 2.4376 data_time: 0.1407 memory: 25793 grad_norm: 1.0347 loss: 1.3502 grounding_loss_reg: 3.6461 detection_loss_cls: 0.0572 detection_loss_reg: 0.4577 caption_loss_cls: 2.6051 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.8369 semantic_segmentation_loss_cls: 0.0147 2023/10/16 02:34:33 - mmengine - INFO - Saving checkpoint at 166000 iterations 2023/10/16 02:39:27 - mmengine - INFO - Iter(train) [166100/480000] base_lr: 1.4704e-04 lr: 3.9603e-05 eta: 8 days, 17:07:32 time: 2.4357 data_time: 0.1406 memory: 26632 grad_norm: 1.0355 loss: 1.3487 grounding_loss_reg: 3.6456 detection_loss_cls: 0.0570 detection_loss_reg: 0.4578 caption_loss_cls: 2.6099 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8357 semantic_segmentation_loss_cls: 0.0148 2023/10/16 02:43:05 - mmengine - INFO - Iter(train) [166200/480000] base_lr: 1.4698e-04 lr: 3.9588e-05 eta: 8 days, 16:57:13 time: 2.4319 data_time: 0.1406 memory: 25793 grad_norm: 1.0385 loss: 1.3523 grounding_loss_reg: 3.6450 detection_loss_cls: 0.0569 detection_loss_reg: 0.4580 caption_loss_cls: 2.6076 instance_segmentation_loss_cls: 0.0483 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8341 semantic_segmentation_loss_cls: 0.0149 2023/10/16 02:47:09 - mmengine - INFO - Iter(train) [166300/480000] base_lr: 1.4692e-04 lr: 3.9573e-05 eta: 8 days, 16:54:30 time: 2.4363 data_time: 0.1406 memory: 25793 grad_norm: 1.0352 loss: 1.3502 grounding_loss_reg: 3.6451 detection_loss_cls: 0.0571 detection_loss_reg: 0.4582 caption_loss_cls: 2.6091 instance_segmentation_loss_cls: 0.0483 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8336 semantic_segmentation_loss_cls: 0.0149 2023/10/16 02:51:32 - mmengine - INFO - Iter(train) [166400/480000] base_lr: 1.4687e-04 lr: 3.9558e-05 eta: 8 days, 16:57:17 time: 2.4399 data_time: 0.1407 memory: 25793 grad_norm: 1.0329 loss: 1.3480 grounding_loss_reg: 3.6429 detection_loss_cls: 0.0571 detection_loss_reg: 0.4590 caption_loss_cls: 2.6133 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8346 semantic_segmentation_loss_cls: 0.0149 2023/10/16 02:55:37 - mmengine - INFO - Iter(train) [166500/480000] base_lr: 1.4681e-04 lr: 3.9543e-05 eta: 8 days, 16:54:29 time: 2.4401 data_time: 0.1407 memory: 26632 grad_norm: 1.0374 loss: 1.3530 grounding_loss_reg: 3.6416 detection_loss_cls: 0.0571 detection_loss_reg: 0.4584 caption_loss_cls: 2.6096 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.3100 instance_segmentation_loss_poly: 0.8358 semantic_segmentation_loss_cls: 0.0149 2023/10/16 02:55:37 - mmengine - INFO - Saving checkpoint at 166500 iterations 2023/10/16 03:00:46 - mmengine - INFO - Iter(train) [166600/480000] base_lr: 1.4675e-04 lr: 3.9528e-05 eta: 8 days, 17:09:55 time: 2.4383 data_time: 0.1407 memory: 26632 grad_norm: 1.0353 loss: 1.3574 grounding_loss_reg: 3.6413 detection_loss_cls: 0.0570 detection_loss_reg: 0.4582 caption_loss_cls: 2.6129 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8368 semantic_segmentation_loss_cls: 0.0150 2023/10/16 03:04:37 - mmengine - INFO - Iter(train) [166700/480000] base_lr: 1.4669e-04 lr: 3.9513e-05 eta: 8 days, 17:03:24 time: 2.4401 data_time: 0.1407 memory: 26632 grad_norm: 1.0354 loss: 1.3600 grounding_loss_reg: 3.6406 detection_loss_cls: 0.0568 detection_loss_reg: 0.4579 caption_loss_cls: 2.6136 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8371 semantic_segmentation_loss_cls: 0.0150 2023/10/16 03:09:02 - mmengine - INFO - Iter(train) [166800/480000] base_lr: 1.4664e-04 lr: 3.9498e-05 eta: 8 days, 17:06:15 time: 2.4517 data_time: 0.1408 memory: 26632 grad_norm: 1.0346 loss: 1.3609 grounding_loss_reg: 3.6395 detection_loss_cls: 0.0570 detection_loss_reg: 0.4584 caption_loss_cls: 2.6111 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.3115 instance_segmentation_loss_poly: 0.8389 semantic_segmentation_loss_cls: 0.0150 2023/10/16 03:13:00 - mmengine - INFO - Iter(train) [166900/480000] base_lr: 1.4658e-04 lr: 3.9484e-05 eta: 8 days, 17:01:36 time: 2.4508 data_time: 0.1408 memory: 26632 grad_norm: 1.0362 loss: 1.3624 grounding_loss_reg: 3.6392 detection_loss_cls: 0.0571 detection_loss_reg: 0.4585 caption_loss_cls: 2.6084 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 0.8374 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:16:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 03:16:43 - mmengine - INFO - Iter(train) [167000/480000] base_lr: 1.4652e-04 lr: 3.9469e-05 eta: 8 days, 16:52:49 time: 2.4477 data_time: 0.1408 memory: 25793 grad_norm: 1.0324 loss: 1.3565 grounding_loss_reg: 3.6385 detection_loss_cls: 0.0572 detection_loss_reg: 0.4585 caption_loss_cls: 2.6089 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.3108 instance_segmentation_loss_poly: 0.8377 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:16:43 - mmengine - INFO - Saving checkpoint at 167000 iterations 2023/10/16 03:21:34 - mmengine - INFO - Iter(train) [167100/480000] base_lr: 1.4646e-04 lr: 3.9454e-05 eta: 8 days, 17:02:36 time: 2.4446 data_time: 0.1402 memory: 26632 grad_norm: 1.0316 loss: 1.3516 grounding_loss_reg: 3.6383 detection_loss_cls: 0.0572 detection_loss_reg: 0.4588 caption_loss_cls: 2.6086 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 0.8361 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:25:39 - mmengine - INFO - Iter(train) [167200/480000] base_lr: 1.4641e-04 lr: 3.9439e-05 eta: 8 days, 16:59:47 time: 2.4472 data_time: 0.1403 memory: 26632 grad_norm: 1.0314 loss: 1.3588 grounding_loss_reg: 3.6387 detection_loss_cls: 0.0573 detection_loss_reg: 0.4589 caption_loss_cls: 2.6095 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8355 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:29:40 - mmengine - INFO - Iter(train) [167300/480000] base_lr: 1.4635e-04 lr: 3.9424e-05 eta: 8 days, 16:56:03 time: 2.4533 data_time: 0.1404 memory: 26632 grad_norm: 1.0338 loss: 1.3666 grounding_loss_reg: 3.6393 detection_loss_cls: 0.0574 detection_loss_reg: 0.4592 caption_loss_cls: 2.6080 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_reg: 0.3117 instance_segmentation_loss_poly: 0.8384 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:33:51 - mmengine - INFO - Iter(train) [167400/480000] base_lr: 1.4629e-04 lr: 3.9409e-05 eta: 8 days, 16:54:46 time: 2.4559 data_time: 0.1404 memory: 25793 grad_norm: 1.0320 loss: 1.3645 grounding_loss_reg: 3.6394 detection_loss_cls: 0.0575 detection_loss_reg: 0.4599 caption_loss_cls: 2.6079 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_reg: 0.3113 instance_segmentation_loss_poly: 0.8372 semantic_segmentation_loss_cls: 0.0150 2023/10/16 03:37:58 - mmengine - INFO - Iter(train) [167500/480000] base_lr: 1.4623e-04 lr: 3.9394e-05 eta: 8 days, 16:52:21 time: 2.4589 data_time: 0.1404 memory: 26632 grad_norm: 1.0318 loss: 1.3663 grounding_loss_reg: 3.6384 detection_loss_cls: 0.0576 detection_loss_reg: 0.4602 caption_loss_cls: 2.6093 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.8360 semantic_segmentation_loss_cls: 0.0150 2023/10/16 03:37:58 - mmengine - INFO - Saving checkpoint at 167500 iterations 2023/10/16 03:43:00 - mmengine - INFO - Iter(train) [167600/480000] base_lr: 1.4618e-04 lr: 3.9379e-05 eta: 8 days, 17:04:37 time: 2.4606 data_time: 0.1405 memory: 25793 grad_norm: 1.0278 loss: 1.3652 grounding_loss_reg: 3.6376 detection_loss_cls: 0.0574 detection_loss_reg: 0.4590 caption_loss_cls: 2.6121 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.3105 instance_segmentation_loss_poly: 0.8372 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:46:59 - mmengine - INFO - Iter(train) [167700/480000] base_lr: 1.4612e-04 lr: 3.9364e-05 eta: 8 days, 17:00:07 time: 2.4641 data_time: 0.1405 memory: 26632 grad_norm: 1.0253 loss: 1.3636 grounding_loss_reg: 3.6382 detection_loss_cls: 0.0574 detection_loss_reg: 0.4593 caption_loss_cls: 2.6121 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 0.8372 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:50:48 - mmengine - INFO - Iter(train) [167800/480000] base_lr: 1.4606e-04 lr: 3.9349e-05 eta: 8 days, 16:53:02 time: 2.4604 data_time: 0.1405 memory: 25793 grad_norm: 1.0288 loss: 1.3601 grounding_loss_reg: 3.6380 detection_loss_cls: 0.0574 detection_loss_reg: 0.4593 caption_loss_cls: 2.6096 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.3099 instance_segmentation_loss_poly: 0.8353 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:54:50 - mmengine - INFO - Iter(train) [167900/480000] base_lr: 1.4600e-04 lr: 3.9334e-05 eta: 8 days, 16:49:21 time: 2.4649 data_time: 0.1406 memory: 25793 grad_norm: 1.0274 loss: 1.3613 grounding_loss_reg: 3.6374 detection_loss_cls: 0.0576 detection_loss_reg: 0.4597 caption_loss_cls: 2.6065 instance_segmentation_loss_cls: 0.0463 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8361 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:58:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 03:58:42 - mmengine - INFO - Iter(train) [168000/480000] base_lr: 1.4595e-04 lr: 3.9319e-05 eta: 8 days, 16:42:59 time: 2.4601 data_time: 0.1405 memory: 25793 grad_norm: 1.0283 loss: 1.3574 grounding_loss_reg: 3.6378 detection_loss_cls: 0.0576 detection_loss_reg: 0.4602 caption_loss_cls: 2.6060 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 0.8357 semantic_segmentation_loss_cls: 0.0149 2023/10/16 03:58:42 - mmengine - INFO - Saving checkpoint at 168000 iterations 2023/10/16 04:03:22 - mmengine - INFO - Iter(train) [168100/480000] base_lr: 1.4589e-04 lr: 3.9304e-05 eta: 8 days, 16:49:07 time: 2.4594 data_time: 0.1406 memory: 26632 grad_norm: 1.0326 loss: 1.3621 grounding_loss_reg: 3.6379 detection_loss_cls: 0.0575 detection_loss_reg: 0.4600 caption_loss_cls: 2.6100 instance_segmentation_loss_cls: 0.0430 instance_segmentation_loss_reg: 0.3071 instance_segmentation_loss_poly: 0.8315 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:07:26 - mmengine - INFO - Iter(train) [168200/480000] base_lr: 1.4583e-04 lr: 3.9289e-05 eta: 8 days, 16:45:53 time: 2.4674 data_time: 0.1406 memory: 25793 grad_norm: 1.0247 loss: 1.3537 grounding_loss_reg: 3.6378 detection_loss_cls: 0.0576 detection_loss_reg: 0.4617 caption_loss_cls: 2.6075 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8315 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:11:16 - mmengine - INFO - Iter(train) [168300/480000] base_lr: 1.4577e-04 lr: 3.9274e-05 eta: 8 days, 16:39:06 time: 2.4704 data_time: 0.1407 memory: 25793 grad_norm: 1.0226 loss: 1.3542 grounding_loss_reg: 3.6370 detection_loss_cls: 0.0576 detection_loss_reg: 0.4626 caption_loss_cls: 2.6100 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8301 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:15:00 - mmengine - INFO - Iter(train) [168400/480000] base_lr: 1.4571e-04 lr: 3.9259e-05 eta: 8 days, 16:30:34 time: 2.4742 data_time: 0.1406 memory: 25793 grad_norm: 1.0179 loss: 1.3356 grounding_loss_reg: 3.6369 detection_loss_cls: 0.0575 detection_loss_reg: 0.4626 caption_loss_cls: 2.6062 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8292 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:19:05 - mmengine - INFO - Iter(train) [168500/480000] base_lr: 1.4566e-04 lr: 3.9244e-05 eta: 8 days, 16:27:33 time: 2.4728 data_time: 0.1406 memory: 26632 grad_norm: 1.0140 loss: 1.3308 grounding_loss_reg: 3.6363 detection_loss_cls: 0.0573 detection_loss_reg: 0.4612 caption_loss_cls: 2.6058 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3050 instance_segmentation_loss_poly: 0.8273 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:19:05 - mmengine - INFO - Saving checkpoint at 168500 iterations 2023/10/16 04:24:17 - mmengine - INFO - Iter(train) [168600/480000] base_lr: 1.4560e-04 lr: 3.9229e-05 eta: 8 days, 16:41:33 time: 2.4767 data_time: 0.1413 memory: 26632 grad_norm: 1.0158 loss: 1.3363 grounding_loss_reg: 3.6354 detection_loss_cls: 0.0573 detection_loss_reg: 0.4603 caption_loss_cls: 2.6083 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8288 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:28:21 - mmengine - INFO - Iter(train) [168700/480000] base_lr: 1.4554e-04 lr: 3.9214e-05 eta: 8 days, 16:38:17 time: 2.4885 data_time: 0.1414 memory: 26632 grad_norm: 1.0115 loss: 1.3348 grounding_loss_reg: 3.6356 detection_loss_cls: 0.0570 detection_loss_reg: 0.4602 caption_loss_cls: 2.6077 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8292 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:32:25 - mmengine - INFO - Iter(train) [168800/480000] base_lr: 1.4548e-04 lr: 3.9199e-05 eta: 8 days, 16:34:55 time: 2.4949 data_time: 0.1414 memory: 26632 grad_norm: 1.0085 loss: 1.3350 grounding_loss_reg: 3.6343 detection_loss_cls: 0.0570 detection_loss_reg: 0.4595 caption_loss_cls: 2.6067 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8276 semantic_segmentation_loss_cls: 0.0149 2023/10/16 04:36:28 - mmengine - INFO - Iter(train) [168900/480000] base_lr: 1.4543e-04 lr: 3.9184e-05 eta: 8 days, 16:31:14 time: 2.4980 data_time: 0.1413 memory: 26632 grad_norm: 1.0139 loss: 1.3290 grounding_loss_reg: 3.6335 detection_loss_cls: 0.0571 detection_loss_reg: 0.4597 caption_loss_cls: 2.6027 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8265 semantic_segmentation_loss_cls: 0.0152 2023/10/16 04:40:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 04:40:25 - mmengine - INFO - Iter(train) [169000/480000] base_lr: 1.4537e-04 lr: 3.9169e-05 eta: 8 days, 16:26:06 time: 2.4978 data_time: 0.1414 memory: 26632 grad_norm: 1.0180 loss: 1.3303 grounding_loss_reg: 3.6330 detection_loss_cls: 0.0570 detection_loss_reg: 0.4581 caption_loss_cls: 2.5976 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8283 semantic_segmentation_loss_cls: 0.0153 2023/10/16 04:40:25 - mmengine - INFO - Saving checkpoint at 169000 iterations 2023/10/16 04:44:58 - mmengine - INFO - Iter(train) [169100/480000] base_lr: 1.4531e-04 lr: 3.9154e-05 eta: 8 days, 16:29:53 time: 2.4943 data_time: 0.1421 memory: 26632 grad_norm: 1.0200 loss: 1.3345 grounding_loss_reg: 3.6326 detection_loss_cls: 0.0569 detection_loss_reg: 0.4576 caption_loss_cls: 2.5992 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8276 semantic_segmentation_loss_cls: 0.0153 2023/10/16 04:48:44 - mmengine - INFO - Iter(train) [169200/480000] base_lr: 1.4525e-04 lr: 3.9139e-05 eta: 8 days, 16:22:04 time: 2.4948 data_time: 0.1420 memory: 25793 grad_norm: 1.0232 loss: 1.3336 grounding_loss_reg: 3.6316 detection_loss_cls: 0.0571 detection_loss_reg: 0.4581 caption_loss_cls: 2.5971 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8281 semantic_segmentation_loss_cls: 0.0153 2023/10/16 04:52:33 - mmengine - INFO - Iter(train) [169300/480000] base_lr: 1.4519e-04 lr: 3.9124e-05 eta: 8 days, 16:15:07 time: 2.4927 data_time: 0.1420 memory: 25793 grad_norm: 0.9978 loss: 1.3294 grounding_loss_reg: 3.6310 detection_loss_cls: 0.0570 detection_loss_reg: 0.4580 caption_loss_cls: 2.5937 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8261 semantic_segmentation_loss_cls: 0.0153 2023/10/16 04:56:35 - mmengine - INFO - Iter(train) [169400/480000] base_lr: 1.4514e-04 lr: 3.9109e-05 eta: 8 days, 16:11:12 time: 2.5001 data_time: 0.1420 memory: 25793 grad_norm: 0.9961 loss: 1.3255 grounding_loss_reg: 3.6302 detection_loss_cls: 0.0570 detection_loss_reg: 0.4584 caption_loss_cls: 2.5943 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8260 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:00:37 - mmengine - INFO - Iter(train) [169500/480000] base_lr: 1.4508e-04 lr: 3.9094e-05 eta: 8 days, 16:07:25 time: 2.5013 data_time: 0.1421 memory: 25793 grad_norm: 0.9910 loss: 1.3251 grounding_loss_reg: 3.6304 detection_loss_cls: 0.0571 detection_loss_reg: 0.4594 caption_loss_cls: 2.5926 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3060 instance_segmentation_loss_poly: 0.8254 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:00:37 - mmengine - INFO - Saving checkpoint at 169500 iterations 2023/10/16 05:05:34 - mmengine - INFO - Iter(train) [169600/480000] base_lr: 1.4502e-04 lr: 3.9079e-05 eta: 8 days, 16:16:38 time: 2.4999 data_time: 0.1426 memory: 26632 grad_norm: 0.9890 loss: 1.3253 grounding_loss_reg: 3.6306 detection_loss_cls: 0.0572 detection_loss_reg: 0.4605 caption_loss_cls: 2.5980 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8237 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:09:36 - mmengine - INFO - Iter(train) [169700/480000] base_lr: 1.4496e-04 lr: 3.9064e-05 eta: 8 days, 16:12:49 time: 2.4977 data_time: 0.1427 memory: 26632 grad_norm: 0.9922 loss: 1.3299 grounding_loss_reg: 3.6297 detection_loss_cls: 0.0572 detection_loss_reg: 0.4623 caption_loss_cls: 2.5935 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8234 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:13:35 - mmengine - INFO - Iter(train) [169800/480000] base_lr: 1.4490e-04 lr: 3.9049e-05 eta: 8 days, 16:08:06 time: 2.4983 data_time: 0.1427 memory: 26632 grad_norm: 0.9940 loss: 1.3339 grounding_loss_reg: 3.6292 detection_loss_cls: 0.0573 detection_loss_reg: 0.4635 caption_loss_cls: 2.5935 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8238 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:17:34 - mmengine - INFO - Iter(train) [169900/480000] base_lr: 1.4485e-04 lr: 3.9034e-05 eta: 8 days, 16:03:27 time: 2.5058 data_time: 0.1427 memory: 26632 grad_norm: 0.9867 loss: 1.3280 grounding_loss_reg: 3.6283 detection_loss_cls: 0.0571 detection_loss_reg: 0.4631 caption_loss_cls: 2.5930 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8232 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:21:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 05:21:44 - mmengine - INFO - Iter(train) [170000/480000] base_lr: 1.4479e-04 lr: 3.9019e-05 eta: 8 days, 16:01:30 time: 2.5075 data_time: 0.1427 memory: 26632 grad_norm: 0.9903 loss: 1.3309 grounding_loss_reg: 3.6267 detection_loss_cls: 0.0569 detection_loss_reg: 0.4620 caption_loss_cls: 2.5949 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8213 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:21:44 - mmengine - INFO - Saving checkpoint at 170000 iterations 2023/10/16 05:26:49 - mmengine - INFO - Iter(train) [170100/480000] base_lr: 1.4473e-04 lr: 3.9004e-05 eta: 8 days, 16:12:08 time: 2.5102 data_time: 0.1435 memory: 26632 grad_norm: 0.9858 loss: 1.3251 grounding_loss_reg: 3.6261 detection_loss_cls: 0.0570 detection_loss_reg: 0.4613 caption_loss_cls: 2.5951 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8214 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:30:54 - mmengine - INFO - Iter(train) [170200/480000] base_lr: 1.4467e-04 lr: 3.8989e-05 eta: 8 days, 16:08:52 time: 2.5170 data_time: 0.1435 memory: 25793 grad_norm: 0.9787 loss: 1.3139 grounding_loss_reg: 3.6254 detection_loss_cls: 0.0572 detection_loss_reg: 0.4629 caption_loss_cls: 2.5962 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8211 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:34:44 - mmengine - INFO - Iter(train) [170300/480000] base_lr: 1.4461e-04 lr: 3.8974e-05 eta: 8 days, 16:01:58 time: 2.5133 data_time: 0.1434 memory: 26632 grad_norm: 0.9772 loss: 1.3107 grounding_loss_reg: 3.6255 detection_loss_cls: 0.0572 detection_loss_reg: 0.4623 caption_loss_cls: 2.5976 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8206 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:38:27 - mmengine - INFO - Iter(train) [170400/480000] base_lr: 1.4455e-04 lr: 3.8959e-05 eta: 8 days, 15:53:47 time: 2.5033 data_time: 0.1434 memory: 25793 grad_norm: 0.9788 loss: 1.3131 grounding_loss_reg: 3.6245 detection_loss_cls: 0.0573 detection_loss_reg: 0.4636 caption_loss_cls: 2.5964 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3051 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:42:39 - mmengine - INFO - Iter(train) [170500/480000] base_lr: 1.4450e-04 lr: 3.8944e-05 eta: 8 days, 15:51:55 time: 2.5051 data_time: 0.1434 memory: 26632 grad_norm: 0.9792 loss: 1.3203 grounding_loss_reg: 3.6227 detection_loss_cls: 0.0574 detection_loss_reg: 0.4642 caption_loss_cls: 2.6024 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3052 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:42:39 - mmengine - INFO - Saving checkpoint at 170500 iterations 2023/10/16 05:47:32 - mmengine - INFO - Iter(train) [170600/480000] base_lr: 1.4444e-04 lr: 3.8928e-05 eta: 8 days, 15:59:39 time: 2.5012 data_time: 0.1438 memory: 26632 grad_norm: 0.9805 loss: 1.3155 grounding_loss_reg: 3.6222 detection_loss_cls: 0.0574 detection_loss_reg: 0.4637 caption_loss_cls: 2.6037 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8177 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:51:22 - mmengine - INFO - Iter(train) [170700/480000] base_lr: 1.4438e-04 lr: 3.8913e-05 eta: 8 days, 15:52:59 time: 2.5010 data_time: 0.1438 memory: 25793 grad_norm: 0.9784 loss: 1.3122 grounding_loss_reg: 3.6217 detection_loss_cls: 0.0572 detection_loss_reg: 0.4627 caption_loss_cls: 2.6044 instance_segmentation_loss_cls: 0.0417 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8177 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:55:43 - mmengine - INFO - Iter(train) [170800/480000] base_lr: 1.4432e-04 lr: 3.8898e-05 eta: 8 days, 15:53:07 time: 2.4998 data_time: 0.1438 memory: 25793 grad_norm: 0.9749 loss: 1.3097 grounding_loss_reg: 3.6205 detection_loss_cls: 0.0571 detection_loss_reg: 0.4625 caption_loss_cls: 2.6026 instance_segmentation_loss_cls: 0.0417 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8190 semantic_segmentation_loss_cls: 0.0153 2023/10/16 05:59:43 - mmengine - INFO - Iter(train) [170900/480000] base_lr: 1.4426e-04 lr: 3.8883e-05 eta: 8 days, 15:48:46 time: 2.5005 data_time: 0.1439 memory: 26632 grad_norm: 0.9736 loss: 1.3080 grounding_loss_reg: 3.6190 detection_loss_cls: 0.0572 detection_loss_reg: 0.4629 caption_loss_cls: 2.6019 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:03:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 06:03:24 - mmengine - INFO - Iter(train) [171000/480000] base_lr: 1.4421e-04 lr: 3.8868e-05 eta: 8 days, 15:39:49 time: 2.4998 data_time: 0.1439 memory: 26632 grad_norm: 0.9749 loss: 1.3100 grounding_loss_reg: 3.6183 detection_loss_cls: 0.0573 detection_loss_reg: 0.4640 caption_loss_cls: 2.6022 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8208 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:03:24 - mmengine - INFO - Saving checkpoint at 171000 iterations 2023/10/16 06:08:19 - mmengine - INFO - Iter(train) [171100/480000] base_lr: 1.4415e-04 lr: 3.8853e-05 eta: 8 days, 15:47:46 time: 2.5010 data_time: 0.1438 memory: 26632 grad_norm: 0.9740 loss: 1.3133 grounding_loss_reg: 3.6172 detection_loss_cls: 0.0574 detection_loss_reg: 0.4647 caption_loss_cls: 2.6033 instance_segmentation_loss_cls: 0.0417 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8174 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:12:08 - mmengine - INFO - Iter(train) [171200/480000] base_lr: 1.4409e-04 lr: 3.8838e-05 eta: 8 days, 15:40:50 time: 2.4971 data_time: 0.1438 memory: 26632 grad_norm: 0.9773 loss: 1.3162 grounding_loss_reg: 3.6166 detection_loss_cls: 0.0575 detection_loss_reg: 0.4658 caption_loss_cls: 2.6026 instance_segmentation_loss_cls: 0.0417 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:15:31 - mmengine - INFO - Iter(train) [171300/480000] base_lr: 1.4403e-04 lr: 3.8823e-05 eta: 8 days, 15:28:02 time: 2.4873 data_time: 0.1437 memory: 25793 grad_norm: 0.9756 loss: 1.3142 grounding_loss_reg: 3.6165 detection_loss_cls: 0.0576 detection_loss_reg: 0.4660 caption_loss_cls: 2.6069 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8206 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:19:18 - mmengine - INFO - Iter(train) [171400/480000] base_lr: 1.4397e-04 lr: 3.8807e-05 eta: 8 days, 15:20:49 time: 2.4815 data_time: 0.1437 memory: 26632 grad_norm: 0.9766 loss: 1.3194 grounding_loss_reg: 3.6160 detection_loss_cls: 0.0578 detection_loss_reg: 0.4660 caption_loss_cls: 2.6046 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8216 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:23:09 - mmengine - INFO - Iter(train) [171500/480000] base_lr: 1.4391e-04 lr: 3.8792e-05 eta: 8 days, 15:14:18 time: 2.4775 data_time: 0.1436 memory: 26632 grad_norm: 0.9741 loss: 1.3147 grounding_loss_reg: 3.6147 detection_loss_cls: 0.0577 detection_loss_reg: 0.4658 caption_loss_cls: 2.6072 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8214 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:23:09 - mmengine - INFO - Saving checkpoint at 171500 iterations 2023/10/16 06:28:12 - mmengine - INFO - Iter(train) [171600/480000] base_lr: 1.4385e-04 lr: 3.8777e-05 eta: 8 days, 15:23:37 time: 2.4778 data_time: 0.1435 memory: 26632 grad_norm: 0.9781 loss: 1.3133 grounding_loss_reg: 3.6149 detection_loss_cls: 0.0577 detection_loss_reg: 0.4663 caption_loss_cls: 2.6037 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8213 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:32:46 - mmengine - INFO - Iter(train) [171700/480000] base_lr: 1.4380e-04 lr: 3.8762e-05 eta: 8 days, 15:26:24 time: 2.4864 data_time: 0.1436 memory: 26632 grad_norm: 0.9740 loss: 1.3127 grounding_loss_reg: 3.6140 detection_loss_cls: 0.0577 detection_loss_reg: 0.4669 caption_loss_cls: 2.6028 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8179 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:36:51 - mmengine - INFO - Iter(train) [171800/480000] base_lr: 1.4374e-04 lr: 3.8747e-05 eta: 8 days, 15:22:57 time: 2.4903 data_time: 0.1436 memory: 26632 grad_norm: 0.9723 loss: 1.3131 grounding_loss_reg: 3.6136 detection_loss_cls: 0.0578 detection_loss_reg: 0.4663 caption_loss_cls: 2.6021 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8174 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:40:33 - mmengine - INFO - Iter(train) [171900/480000] base_lr: 1.4368e-04 lr: 3.8732e-05 eta: 8 days, 15:14:34 time: 2.4853 data_time: 0.1436 memory: 25793 grad_norm: 0.9723 loss: 1.3162 grounding_loss_reg: 3.6125 detection_loss_cls: 0.0578 detection_loss_reg: 0.4667 caption_loss_cls: 2.5975 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8174 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:44:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231015_135414 2023/10/16 06:44:28 - mmengine - INFO - Iter(train) [172000/480000] base_lr: 1.4362e-04 lr: 3.8717e-05 eta: 8 days, 15:09:00 time: 2.4861 data_time: 0.1436 memory: 25793 grad_norm: 0.9739 loss: 1.3173 grounding_loss_reg: 3.6106 detection_loss_cls: 0.0577 detection_loss_reg: 0.4654 caption_loss_cls: 2.5997 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8180 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:44:28 - mmengine - INFO - Saving checkpoint at 172000 iterations 2023/10/16 06:49:25 - mmengine - INFO - Iter(train) [172100/480000] base_lr: 1.4356e-04 lr: 3.8701e-05 eta: 8 days, 15:16:45 time: 2.4904 data_time: 0.1434 memory: 26632 grad_norm: 0.9680 loss: 1.3046 grounding_loss_reg: 3.6086 detection_loss_cls: 0.0578 detection_loss_reg: 0.4652 caption_loss_cls: 2.5999 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8188 semantic_segmentation_loss_cls: 0.0153 2023/10/16 06:53:02 - mmengine - INFO - Iter(train) [172200/480000] base_lr: 1.4350e-04 lr: 3.8686e-05 eta: 8 days, 15:07:18 time: 2.4836 data_time: 0.1433 memory: 25793 grad_norm: 0.9760 loss: 1.3105 grounding_loss_reg: 3.6075 detection_loss_cls: 0.0579 detection_loss_reg: 0.4651 caption_loss_cls: 2.5992 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8181 semantic_segmentation_loss_cls: 0.0153 2023/10/20 08:24:28 - mmengine - INFO - Iter(train) [172300/480000] base_lr: 1.4345e-04 lr: 3.8671e-05 eta: 5 days, 22:18:49 time: 2.4224 data_time: 0.1272 memory: 26569 grad_norm: 0.9721 loss: 1.3023 grounding_loss_reg: 3.6072 detection_loss_cls: 0.0578 detection_loss_reg: 0.4646 caption_loss_cls: 2.5964 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8167 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:27:18 - mmengine - INFO - Iter(train) [172400/480000] base_lr: 1.4339e-04 lr: 3.8656e-05 eta: 5 days, 22:59:28 time: 2.4090 data_time: 0.1273 memory: 25727 grad_norm: 0.9708 loss: 1.3048 grounding_loss_reg: 3.6064 detection_loss_cls: 0.0578 detection_loss_reg: 0.4647 caption_loss_cls: 2.5914 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8143 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:30:23 - mmengine - INFO - Iter(train) [172500/480000] base_lr: 1.4333e-04 lr: 3.8641e-05 eta: 6 days, 1:57:25 time: 2.3941 data_time: 0.1273 memory: 26569 grad_norm: 0.9674 loss: 1.3058 grounding_loss_reg: 3.6046 detection_loss_cls: 0.0577 detection_loss_reg: 0.4644 caption_loss_cls: 2.5923 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8147 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:30:23 - mmengine - INFO - Saving checkpoint at 172500 iterations 2023/10/20 08:34:25 - mmengine - INFO - Iter(train) [172600/480000] base_lr: 1.4327e-04 lr: 3.8626e-05 eta: 6 days, 12:02:08 time: 2.3765 data_time: 0.1272 memory: 25727 grad_norm: 0.9636 loss: 1.2930 grounding_loss_reg: 3.6038 detection_loss_cls: 0.0576 detection_loss_reg: 0.4637 caption_loss_cls: 2.5916 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.8148 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:37:31 - mmengine - INFO - Iter(train) [172700/480000] base_lr: 1.4321e-04 lr: 3.8610e-05 eta: 6 days, 12:20:26 time: 2.3618 data_time: 0.1272 memory: 25727 grad_norm: 0.9607 loss: 1.2839 grounding_loss_reg: 3.6051 detection_loss_cls: 0.0575 detection_loss_reg: 0.4632 caption_loss_cls: 2.5901 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8153 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:40:40 - mmengine - INFO - Iter(train) [172800/480000] base_lr: 1.4315e-04 lr: 3.8595e-05 eta: 6 days, 12:59:38 time: 2.3483 data_time: 0.1272 memory: 25727 grad_norm: 0.9557 loss: 1.2784 grounding_loss_reg: 3.6051 detection_loss_cls: 0.0575 detection_loss_reg: 0.4627 caption_loss_cls: 2.5895 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8143 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:44:01 - mmengine - INFO - Iter(train) [172900/480000] base_lr: 1.4309e-04 lr: 3.8580e-05 eta: 6 days, 14:29:58 time: 2.3377 data_time: 0.1273 memory: 25727 grad_norm: 0.9456 loss: 1.2757 grounding_loss_reg: 3.6047 detection_loss_cls: 0.0564 detection_loss_reg: 0.4594 caption_loss_cls: 2.5917 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.8132 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:47:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 08:47:18 - mmengine - INFO - Iter(train) [173000/480000] base_lr: 1.4304e-04 lr: 3.8565e-05 eta: 6 days, 15:22:32 time: 2.3277 data_time: 0.1272 memory: 25727 grad_norm: 0.9421 loss: 1.2733 grounding_loss_reg: 3.6052 detection_loss_cls: 0.0567 detection_loss_reg: 0.4602 caption_loss_cls: 2.5878 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.8133 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:47:18 - mmengine - INFO - Saving checkpoint at 173000 iterations 2023/10/20 08:51:45 - mmengine - INFO - Iter(train) [173100/480000] base_lr: 1.4298e-04 lr: 3.8550e-05 eta: 6 days, 21:33:25 time: 2.3262 data_time: 0.1266 memory: 26569 grad_norm: 0.9329 loss: 1.2684 grounding_loss_reg: 3.6046 detection_loss_cls: 0.0569 detection_loss_reg: 0.4605 caption_loss_cls: 2.5877 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 0.8140 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:55:09 - mmengine - INFO - Iter(train) [173200/480000] base_lr: 1.4292e-04 lr: 3.8534e-05 eta: 6 days, 22:12:39 time: 2.3208 data_time: 0.1266 memory: 25727 grad_norm: 0.9236 loss: 1.2614 grounding_loss_reg: 3.6047 detection_loss_cls: 0.0569 detection_loss_reg: 0.4613 caption_loss_cls: 2.5882 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0152 2023/10/20 08:59:00 - mmengine - INFO - Iter(train) [173300/480000] base_lr: 1.4286e-04 lr: 3.8519e-05 eta: 7 days, 0:28:20 time: 2.3211 data_time: 0.1266 memory: 25727 grad_norm: 0.9184 loss: 1.2560 grounding_loss_reg: 3.6037 detection_loss_cls: 0.0570 detection_loss_reg: 0.4601 caption_loss_cls: 2.5886 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8119 semantic_segmentation_loss_cls: 0.0152 2023/10/20 09:02:27 - mmengine - INFO - Iter(train) [173400/480000] base_lr: 1.4280e-04 lr: 3.8504e-05 eta: 7 days, 0:59:54 time: 2.3125 data_time: 0.1266 memory: 25727 grad_norm: 0.9176 loss: 1.2526 grounding_loss_reg: 3.6025 detection_loss_cls: 0.0568 detection_loss_reg: 0.4597 caption_loss_cls: 2.5886 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8108 semantic_segmentation_loss_cls: 0.0152 2023/10/20 09:06:03 - mmengine - INFO - Iter(train) [173500/480000] base_lr: 1.4274e-04 lr: 3.8489e-05 eta: 7 days, 1:57:58 time: 2.3060 data_time: 0.1266 memory: 26569 grad_norm: 0.9175 loss: 1.2497 grounding_loss_reg: 3.6026 detection_loss_cls: 0.0568 detection_loss_reg: 0.4604 caption_loss_cls: 2.5869 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0152 2023/10/20 09:06:03 - mmengine - INFO - Saving checkpoint at 173500 iterations 2023/10/20 09:10:40 - mmengine - INFO - Iter(train) [173600/480000] base_lr: 1.4268e-04 lr: 3.8473e-05 eta: 7 days, 5:59:11 time: 2.3009 data_time: 0.1259 memory: 25727 grad_norm: 0.9121 loss: 1.2445 grounding_loss_reg: 3.6018 detection_loss_cls: 0.0569 detection_loss_reg: 0.4622 caption_loss_cls: 2.5850 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8111 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:14:18 - mmengine - INFO - Iter(train) [173700/480000] base_lr: 1.4262e-04 lr: 3.8458e-05 eta: 7 days, 6:36:11 time: 2.2948 data_time: 0.1258 memory: 26569 grad_norm: 0.9124 loss: 1.2437 grounding_loss_reg: 3.6016 detection_loss_cls: 0.0566 detection_loss_reg: 0.4603 caption_loss_cls: 2.5851 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.8102 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:18:02 - mmengine - INFO - Iter(train) [173800/480000] base_lr: 1.4257e-04 lr: 3.8443e-05 eta: 7 days, 7:26:46 time: 2.2912 data_time: 0.1258 memory: 26569 grad_norm: 0.9062 loss: 1.2283 grounding_loss_reg: 3.6008 detection_loss_cls: 0.0565 detection_loss_reg: 0.4588 caption_loss_cls: 2.5846 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8082 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:22:10 - mmengine - INFO - Iter(train) [173900/480000] base_lr: 1.4251e-04 lr: 3.8428e-05 eta: 7 days, 9:16:41 time: 2.2936 data_time: 0.1258 memory: 25727 grad_norm: 0.9040 loss: 1.2262 grounding_loss_reg: 3.6011 detection_loss_cls: 0.0564 detection_loss_reg: 0.4579 caption_loss_cls: 2.5852 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8063 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:25:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 09:25:45 - mmengine - INFO - Iter(train) [174000/480000] base_lr: 1.4245e-04 lr: 3.8412e-05 eta: 7 days, 9:28:36 time: 2.2846 data_time: 0.1258 memory: 25727 grad_norm: 0.8989 loss: 1.2228 grounding_loss_reg: 3.6008 detection_loss_cls: 0.0562 detection_loss_reg: 0.4574 caption_loss_cls: 2.5840 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8061 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:25:45 - mmengine - INFO - Saving checkpoint at 174000 iterations 2023/10/20 09:30:34 - mmengine - INFO - Iter(train) [174100/480000] base_lr: 1.4239e-04 lr: 3.8397e-05 eta: 7 days, 12:39:02 time: 2.2807 data_time: 0.1255 memory: 26569 grad_norm: 0.8937 loss: 1.2210 grounding_loss_reg: 3.6004 detection_loss_cls: 0.0559 detection_loss_reg: 0.4570 caption_loss_cls: 2.5887 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8058 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:34:19 - mmengine - INFO - Iter(train) [174200/480000] base_lr: 1.4233e-04 lr: 3.8382e-05 eta: 7 days, 13:04:16 time: 2.2757 data_time: 0.1257 memory: 25727 grad_norm: 0.8964 loss: 1.2276 grounding_loss_reg: 3.6013 detection_loss_cls: 0.0557 detection_loss_reg: 0.4572 caption_loss_cls: 2.5859 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8072 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:38:06 - mmengine - INFO - Iter(train) [174300/480000] base_lr: 1.4227e-04 lr: 3.8367e-05 eta: 7 days, 13:30:53 time: 2.2750 data_time: 0.1257 memory: 25727 grad_norm: 0.8960 loss: 1.2263 grounding_loss_reg: 3.5999 detection_loss_cls: 0.0559 detection_loss_reg: 0.4580 caption_loss_cls: 2.5843 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8071 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:41:54 - mmengine - INFO - Iter(train) [174400/480000] base_lr: 1.4221e-04 lr: 3.8351e-05 eta: 7 days, 13:58:17 time: 2.2762 data_time: 0.1257 memory: 25727 grad_norm: 0.8985 loss: 1.2307 grounding_loss_reg: 3.5972 detection_loss_cls: 0.0560 detection_loss_reg: 0.4583 caption_loss_cls: 2.5867 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8074 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:46:12 - mmengine - INFO - Iter(train) [174500/480000] base_lr: 1.4215e-04 lr: 3.8336e-05 eta: 7 days, 15:23:20 time: 2.2778 data_time: 0.1256 memory: 25727 grad_norm: 0.8906 loss: 1.2173 grounding_loss_reg: 3.5972 detection_loss_cls: 0.0560 detection_loss_reg: 0.4583 caption_loss_cls: 2.5856 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.8063 semantic_segmentation_loss_cls: 0.0151 2023/10/20 09:46:12 - mmengine - INFO - Saving checkpoint at 174500 iterations 2023/10/20 09:51:11 - mmengine - INFO - Iter(train) [174600/480000] base_lr: 1.4209e-04 lr: 3.8321e-05 eta: 7 days, 18:01:44 time: 2.2792 data_time: 0.1257 memory: 26569 grad_norm: 0.8958 loss: 1.2203 grounding_loss_reg: 3.5954 detection_loss_cls: 0.0560 detection_loss_reg: 0.4591 caption_loss_cls: 2.5859 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.8052 semantic_segmentation_loss_cls: 0.0154 2023/10/20 09:55:33 - mmengine - INFO - Iter(train) [174700/480000] base_lr: 1.4204e-04 lr: 3.8306e-05 eta: 7 days, 19:19:21 time: 2.2872 data_time: 0.1257 memory: 26569 grad_norm: 0.8911 loss: 1.2139 grounding_loss_reg: 3.5926 detection_loss_cls: 0.0561 detection_loss_reg: 0.4602 caption_loss_cls: 2.5830 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8053 semantic_segmentation_loss_cls: 0.0154 2023/10/20 09:59:25 - mmengine - INFO - Iter(train) [174800/480000] base_lr: 1.4198e-04 lr: 3.8290e-05 eta: 7 days, 19:35:09 time: 2.2800 data_time: 0.1257 memory: 26569 grad_norm: 0.8957 loss: 1.2153 grounding_loss_reg: 3.5918 detection_loss_cls: 0.0559 detection_loss_reg: 0.4592 caption_loss_cls: 2.5815 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.8065 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:03:22 - mmengine - INFO - Iter(train) [174900/480000] base_lr: 1.4192e-04 lr: 3.8275e-05 eta: 7 days, 19:59:35 time: 2.2792 data_time: 0.1256 memory: 25727 grad_norm: 0.8912 loss: 1.2088 grounding_loss_reg: 3.5936 detection_loss_cls: 0.0555 detection_loss_reg: 0.4574 caption_loss_cls: 2.5737 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8070 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:07:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 10:07:35 - mmengine - INFO - Iter(train) [175000/480000] base_lr: 1.4186e-04 lr: 3.8260e-05 eta: 7 days, 20:48:09 time: 2.2873 data_time: 0.1257 memory: 25727 grad_norm: 0.8883 loss: 1.2033 grounding_loss_reg: 3.5924 detection_loss_cls: 0.0555 detection_loss_reg: 0.4578 caption_loss_cls: 2.5733 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8075 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:07:35 - mmengine - INFO - Saving checkpoint at 175000 iterations 2023/10/20 10:13:04 - mmengine - INFO - Iter(train) [175100/480000] base_lr: 1.4180e-04 lr: 3.8244e-05 eta: 7 days, 23:38:57 time: 2.2957 data_time: 0.1257 memory: 25727 grad_norm: 0.8889 loss: 1.2040 grounding_loss_reg: 3.5898 detection_loss_cls: 0.0556 detection_loss_reg: 0.4578 caption_loss_cls: 2.5744 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.8069 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:17:07 - mmengine - INFO - Iter(train) [175200/480000] base_lr: 1.4174e-04 lr: 3.8229e-05 eta: 8 days, 0:01:55 time: 2.2992 data_time: 0.1256 memory: 26569 grad_norm: 0.8870 loss: 1.2008 grounding_loss_reg: 3.5905 detection_loss_cls: 0.0556 detection_loss_reg: 0.4571 caption_loss_cls: 2.5753 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8059 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:21:45 - mmengine - INFO - Iter(train) [175300/480000] base_lr: 1.4168e-04 lr: 3.8214e-05 eta: 8 days, 1:16:53 time: 2.3181 data_time: 0.1257 memory: 26569 grad_norm: 0.8803 loss: 1.1911 grounding_loss_reg: 3.5882 detection_loss_cls: 0.0556 detection_loss_reg: 0.4569 caption_loss_cls: 2.5757 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.8059 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:25:42 - mmengine - INFO - Iter(train) [175400/480000] base_lr: 1.4162e-04 lr: 3.8198e-05 eta: 8 days, 1:25:10 time: 2.3204 data_time: 0.1257 memory: 26569 grad_norm: 0.8794 loss: 1.1894 grounding_loss_reg: 3.5870 detection_loss_cls: 0.0554 detection_loss_reg: 0.4563 caption_loss_cls: 2.5767 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8061 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:29:57 - mmengine - INFO - Iter(train) [175500/480000] base_lr: 1.4156e-04 lr: 3.8183e-05 eta: 8 days, 2:00:25 time: 2.3266 data_time: 0.1258 memory: 26569 grad_norm: 0.8775 loss: 1.1847 grounding_loss_reg: 3.5860 detection_loss_cls: 0.0553 detection_loss_reg: 0.4562 caption_loss_cls: 2.5761 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8065 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:29:57 - mmengine - INFO - Saving checkpoint at 175500 iterations 2023/10/20 10:34:55 - mmengine - INFO - Iter(train) [175600/480000] base_lr: 1.4150e-04 lr: 3.8168e-05 eta: 8 days, 3:32:50 time: 2.3253 data_time: 0.1258 memory: 25727 grad_norm: 0.8776 loss: 1.1886 grounding_loss_reg: 3.5842 detection_loss_cls: 0.0554 detection_loss_reg: 0.4568 caption_loss_cls: 2.5752 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8083 semantic_segmentation_loss_cls: 0.0153 2023/10/20 10:39:39 - mmengine - INFO - Iter(train) [175700/480000] base_lr: 1.4145e-04 lr: 3.8152e-05 eta: 8 days, 4:40:21 time: 2.3277 data_time: 0.1257 memory: 26569 grad_norm: 0.8736 loss: 1.1812 grounding_loss_reg: 3.5845 detection_loss_cls: 0.0554 detection_loss_reg: 0.4566 caption_loss_cls: 2.5720 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:44:03 - mmengine - INFO - Iter(train) [175800/480000] base_lr: 1.4139e-04 lr: 3.8137e-05 eta: 8 days, 5:19:14 time: 2.3326 data_time: 0.1257 memory: 25727 grad_norm: 0.8671 loss: 1.1805 grounding_loss_reg: 3.5839 detection_loss_cls: 0.0555 detection_loss_reg: 0.4567 caption_loss_cls: 2.5727 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:48:19 - mmengine - INFO - Iter(train) [175900/480000] base_lr: 1.4133e-04 lr: 3.8122e-05 eta: 8 days, 5:44:02 time: 2.3410 data_time: 0.1257 memory: 26569 grad_norm: 0.8628 loss: 1.1756 grounding_loss_reg: 3.5836 detection_loss_cls: 0.0555 detection_loss_reg: 0.4565 caption_loss_cls: 2.5725 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8089 semantic_segmentation_loss_cls: 0.0154 2023/10/20 10:52:48 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 10:52:48 - mmengine - INFO - Iter(train) [176000/480000] base_lr: 1.4127e-04 lr: 3.8106e-05 eta: 8 days, 6:24:58 time: 2.3497 data_time: 0.1258 memory: 26569 grad_norm: 0.8604 loss: 1.1791 grounding_loss_reg: 3.5829 detection_loss_cls: 0.0556 detection_loss_reg: 0.4572 caption_loss_cls: 2.5766 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.8085 semantic_segmentation_loss_cls: 0.0153 2023/10/20 10:52:48 - mmengine - INFO - Saving checkpoint at 176000 iterations 2023/10/20 10:58:05 - mmengine - INFO - Iter(train) [176100/480000] base_lr: 1.4121e-04 lr: 3.8091e-05 eta: 8 days, 8:01:54 time: 2.3880 data_time: 0.1422 memory: 26569 grad_norm: 0.8566 loss: 1.1716 grounding_loss_reg: 3.5811 detection_loss_cls: 0.0555 detection_loss_reg: 0.4573 caption_loss_cls: 2.5702 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0153 2023/10/20 11:02:44 - mmengine - INFO - Iter(train) [176200/480000] base_lr: 1.4115e-04 lr: 3.8076e-05 eta: 8 days, 8:48:21 time: 2.4174 data_time: 0.1422 memory: 26569 grad_norm: 0.8516 loss: 1.1709 grounding_loss_reg: 3.5818 detection_loss_cls: 0.0554 detection_loss_reg: 0.4566 caption_loss_cls: 2.5677 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0153 2023/10/20 11:06:39 - mmengine - INFO - Iter(train) [176300/480000] base_lr: 1.4109e-04 lr: 3.8060e-05 eta: 8 days, 8:41:16 time: 2.4325 data_time: 0.1422 memory: 25727 grad_norm: 0.8520 loss: 1.1726 grounding_loss_reg: 3.5808 detection_loss_cls: 0.0553 detection_loss_reg: 0.4563 caption_loss_cls: 2.5689 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8097 semantic_segmentation_loss_cls: 0.0153 2023/10/20 11:10:52 - mmengine - INFO - Iter(train) [176400/480000] base_lr: 1.4103e-04 lr: 3.8045e-05 eta: 8 days, 8:53:56 time: 2.4531 data_time: 0.1421 memory: 26569 grad_norm: 0.8501 loss: 1.1720 grounding_loss_reg: 3.5815 detection_loss_cls: 0.0553 detection_loss_reg: 0.4557 caption_loss_cls: 2.5697 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8077 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:15:05 - mmengine - INFO - Iter(train) [176500/480000] base_lr: 1.4097e-04 lr: 3.8030e-05 eta: 8 days, 9:06:31 time: 2.4701 data_time: 0.1420 memory: 25727 grad_norm: 0.8492 loss: 1.1705 grounding_loss_reg: 3.5808 detection_loss_cls: 0.0556 detection_loss_reg: 0.4566 caption_loss_cls: 2.5681 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.8054 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:15:05 - mmengine - INFO - Saving checkpoint at 176500 iterations 2023/10/20 11:20:29 - mmengine - INFO - Iter(train) [176600/480000] base_lr: 1.4091e-04 lr: 3.8014e-05 eta: 8 days, 10:37:09 time: 2.4907 data_time: 0.1415 memory: 26569 grad_norm: 0.8489 loss: 1.1734 grounding_loss_reg: 3.5804 detection_loss_cls: 0.0555 detection_loss_reg: 0.4566 caption_loss_cls: 2.5669 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8064 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:25:07 - mmengine - INFO - Iter(train) [176700/480000] base_lr: 1.4085e-04 lr: 3.7999e-05 eta: 8 days, 11:13:10 time: 2.5137 data_time: 0.1415 memory: 26569 grad_norm: 0.8483 loss: 1.1763 grounding_loss_reg: 3.5799 detection_loss_cls: 0.0556 detection_loss_reg: 0.4564 caption_loss_cls: 2.5677 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.8070 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:29:56 - mmengine - INFO - Iter(train) [176800/480000] base_lr: 1.4079e-04 lr: 3.7983e-05 eta: 8 days, 11:59:27 time: 2.5385 data_time: 0.1415 memory: 25727 grad_norm: 0.8518 loss: 1.1836 grounding_loss_reg: 3.5791 detection_loss_cls: 0.0558 detection_loss_reg: 0.4586 caption_loss_cls: 2.5665 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8060 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:33:51 - mmengine - INFO - Iter(train) [176900/480000] base_lr: 1.4073e-04 lr: 3.7968e-05 eta: 8 days, 11:48:08 time: 2.5472 data_time: 0.1414 memory: 25727 grad_norm: 0.8518 loss: 1.1818 grounding_loss_reg: 3.5790 detection_loss_cls: 0.0558 detection_loss_reg: 0.4583 caption_loss_cls: 2.5664 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8061 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:37:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 11:37:46 - mmengine - INFO - Iter(train) [177000/480000] base_lr: 1.4067e-04 lr: 3.7953e-05 eta: 8 days, 11:36:34 time: 2.5567 data_time: 0.1414 memory: 25727 grad_norm: 0.8482 loss: 1.1727 grounding_loss_reg: 3.5790 detection_loss_cls: 0.0559 detection_loss_reg: 0.4583 caption_loss_cls: 2.5634 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8049 semantic_segmentation_loss_cls: 0.0152 2023/10/20 11:37:46 - mmengine - INFO - Saving checkpoint at 177000 iterations 2023/10/20 11:43:31 - mmengine - INFO - Iter(train) [177100/480000] base_lr: 1.4062e-04 lr: 3.7937e-05 eta: 8 days, 13:15:01 time: 2.5762 data_time: 0.1418 memory: 26569 grad_norm: 0.8476 loss: 1.1663 grounding_loss_reg: 3.5769 detection_loss_cls: 0.0560 detection_loss_reg: 0.4588 caption_loss_cls: 2.5590 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.8068 semantic_segmentation_loss_cls: 0.0150 2023/10/20 11:48:05 - mmengine - INFO - Iter(train) [177200/480000] base_lr: 1.4056e-04 lr: 3.7922e-05 eta: 8 days, 13:39:44 time: 2.5936 data_time: 0.1420 memory: 26569 grad_norm: 0.8511 loss: 1.1709 grounding_loss_reg: 3.5752 detection_loss_cls: 0.0559 detection_loss_reg: 0.4597 caption_loss_cls: 2.5578 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8085 semantic_segmentation_loss_cls: 0.0148 2023/10/20 11:52:44 - mmengine - INFO - Iter(train) [177300/480000] base_lr: 1.4050e-04 lr: 3.7907e-05 eta: 8 days, 14:08:54 time: 2.6058 data_time: 0.1420 memory: 26569 grad_norm: 0.8572 loss: 1.1707 grounding_loss_reg: 3.5748 detection_loss_cls: 0.0559 detection_loss_reg: 0.4600 caption_loss_cls: 2.5557 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_reg: 0.3016 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0148 2023/10/20 11:57:05 - mmengine - INFO - Iter(train) [177400/480000] base_lr: 1.4044e-04 lr: 3.7891e-05 eta: 8 days, 14:19:39 time: 2.6193 data_time: 0.1420 memory: 26569 grad_norm: 0.8557 loss: 1.1719 grounding_loss_reg: 3.5741 detection_loss_cls: 0.0560 detection_loss_reg: 0.4604 caption_loss_cls: 2.5567 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_reg: 0.3016 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:01:59 - mmengine - INFO - Iter(train) [177500/480000] base_lr: 1.4038e-04 lr: 3.7876e-05 eta: 8 days, 14:59:35 time: 2.6385 data_time: 0.1420 memory: 25727 grad_norm: 0.8518 loss: 1.1675 grounding_loss_reg: 3.5742 detection_loss_cls: 0.0561 detection_loss_reg: 0.4602 caption_loss_cls: 2.5548 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_reg: 0.3016 instance_segmentation_loss_poly: 0.8104 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:01:59 - mmengine - INFO - Saving checkpoint at 177500 iterations 2023/10/20 12:07:27 - mmengine - INFO - Iter(train) [177600/480000] base_lr: 1.4032e-04 lr: 3.7860e-05 eta: 8 days, 16:08:37 time: 2.6514 data_time: 0.1425 memory: 26569 grad_norm: 0.8477 loss: 1.1560 grounding_loss_reg: 3.5726 detection_loss_cls: 0.0561 detection_loss_reg: 0.4593 caption_loss_cls: 2.5564 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.8091 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:11:43 - mmengine - INFO - Iter(train) [177700/480000] base_lr: 1.4026e-04 lr: 3.7845e-05 eta: 8 days, 16:11:44 time: 2.6609 data_time: 0.1425 memory: 26569 grad_norm: 0.8454 loss: 1.1575 grounding_loss_reg: 3.5713 detection_loss_cls: 0.0557 detection_loss_reg: 0.4573 caption_loss_cls: 2.5584 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.8093 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:16:18 - mmengine - INFO - Iter(train) [177800/480000] base_lr: 1.4020e-04 lr: 3.7829e-05 eta: 8 days, 16:30:58 time: 2.6735 data_time: 0.1429 memory: 25727 grad_norm: 0.8446 loss: 1.1641 grounding_loss_reg: 3.5719 detection_loss_cls: 0.0557 detection_loss_reg: 0.4573 caption_loss_cls: 2.5606 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.8097 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:20:55 - mmengine - INFO - Iter(train) [177900/480000] base_lr: 1.4014e-04 lr: 3.7814e-05 eta: 8 days, 16:51:45 time: 2.6808 data_time: 0.1429 memory: 25727 grad_norm: 0.8461 loss: 1.1690 grounding_loss_reg: 3.5718 detection_loss_cls: 0.0556 detection_loss_reg: 0.4576 caption_loss_cls: 2.5630 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8097 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:24:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 12:24:51 - mmengine - INFO - Iter(train) [178000/480000] base_lr: 1.4008e-04 lr: 3.7799e-05 eta: 8 days, 16:36:40 time: 2.6862 data_time: 0.1429 memory: 26569 grad_norm: 0.8490 loss: 1.1721 grounding_loss_reg: 3.5707 detection_loss_cls: 0.0557 detection_loss_reg: 0.4581 caption_loss_cls: 2.5598 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:24:51 - mmengine - INFO - Saving checkpoint at 178000 iterations 2023/10/20 12:30:14 - mmengine - INFO - Iter(train) [178100/480000] base_lr: 1.4002e-04 lr: 3.7783e-05 eta: 8 days, 17:33:43 time: 2.6947 data_time: 0.1425 memory: 26569 grad_norm: 0.8518 loss: 1.1701 grounding_loss_reg: 3.5711 detection_loss_cls: 0.0553 detection_loss_reg: 0.4575 caption_loss_cls: 2.5594 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.8098 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:34:48 - mmengine - INFO - Iter(train) [178200/480000] base_lr: 1.3996e-04 lr: 3.7768e-05 eta: 8 days, 17:49:19 time: 2.7070 data_time: 0.1424 memory: 26569 grad_norm: 0.8476 loss: 1.1681 grounding_loss_reg: 3.5704 detection_loss_cls: 0.0554 detection_loss_reg: 0.4585 caption_loss_cls: 2.5597 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:39:30 - mmengine - INFO - Iter(train) [178300/480000] base_lr: 1.3990e-04 lr: 3.7752e-05 eta: 8 days, 18:10:29 time: 2.7208 data_time: 0.1425 memory: 25727 grad_norm: 0.8452 loss: 1.1688 grounding_loss_reg: 3.5711 detection_loss_cls: 0.0554 detection_loss_reg: 0.4582 caption_loss_cls: 2.5611 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8107 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:43:29 - mmengine - INFO - Iter(train) [178400/480000] base_lr: 1.3984e-04 lr: 3.7737e-05 eta: 8 days, 17:56:47 time: 2.7234 data_time: 0.1425 memory: 26569 grad_norm: 0.8408 loss: 1.1636 grounding_loss_reg: 3.5721 detection_loss_cls: 0.0554 detection_loss_reg: 0.4580 caption_loss_cls: 2.5597 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.8118 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:48:05 - mmengine - INFO - Iter(train) [178500/480000] base_lr: 1.3978e-04 lr: 3.7721e-05 eta: 8 days, 18:12:24 time: 2.7280 data_time: 0.1426 memory: 25727 grad_norm: 0.8396 loss: 1.1621 grounding_loss_reg: 3.5714 detection_loss_cls: 0.0552 detection_loss_reg: 0.4568 caption_loss_cls: 2.5577 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0147 2023/10/20 12:48:05 - mmengine - INFO - Saving checkpoint at 178500 iterations 2023/10/20 12:53:32 - mmengine - INFO - Iter(train) [178600/480000] base_lr: 1.3972e-04 lr: 3.7706e-05 eta: 8 days, 19:05:38 time: 2.7349 data_time: 0.1426 memory: 26569 grad_norm: 0.8364 loss: 1.1610 grounding_loss_reg: 3.5691 detection_loss_cls: 0.0551 detection_loss_reg: 0.4567 caption_loss_cls: 2.5542 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3014 instance_segmentation_loss_poly: 0.8105 semantic_segmentation_loss_cls: 0.0148 2023/10/20 12:57:56 - mmengine - INFO - Iter(train) [178700/480000] base_lr: 1.3966e-04 lr: 3.7690e-05 eta: 8 days, 19:10:07 time: 2.7352 data_time: 0.1426 memory: 25727 grad_norm: 0.8376 loss: 1.1587 grounding_loss_reg: 3.5682 detection_loss_cls: 0.0551 detection_loss_reg: 0.4560 caption_loss_cls: 2.5550 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0147 2023/10/20 13:02:08 - mmengine - INFO - Iter(train) [178800/480000] base_lr: 1.3960e-04 lr: 3.7675e-05 eta: 8 days, 19:05:40 time: 2.7403 data_time: 0.1425 memory: 25727 grad_norm: 0.8305 loss: 1.1479 grounding_loss_reg: 3.5686 detection_loss_cls: 0.0549 detection_loss_reg: 0.4540 caption_loss_cls: 2.5492 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.8083 semantic_segmentation_loss_cls: 0.0147 2023/10/20 13:06:14 - mmengine - INFO - Iter(train) [178900/480000] base_lr: 1.3954e-04 lr: 3.7659e-05 eta: 8 days, 18:57:03 time: 2.7425 data_time: 0.1425 memory: 25727 grad_norm: 0.8329 loss: 1.1508 grounding_loss_reg: 3.5654 detection_loss_cls: 0.0550 detection_loss_reg: 0.4536 caption_loss_cls: 2.5474 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.8093 semantic_segmentation_loss_cls: 0.0147 2023/10/20 13:10:06 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 13:10:06 - mmengine - INFO - Iter(train) [179000/480000] base_lr: 1.3948e-04 lr: 3.7644e-05 eta: 8 days, 18:38:06 time: 2.7373 data_time: 0.1425 memory: 26569 grad_norm: 0.8367 loss: 1.1575 grounding_loss_reg: 3.5656 detection_loss_cls: 0.0549 detection_loss_reg: 0.4534 caption_loss_cls: 2.5468 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.8100 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:10:06 - mmengine - INFO - Saving checkpoint at 179000 iterations 2023/10/20 13:15:14 - mmengine - INFO - Iter(train) [179100/480000] base_lr: 1.3942e-04 lr: 3.7629e-05 eta: 8 days, 19:13:49 time: 2.7321 data_time: 0.1426 memory: 26569 grad_norm: 0.8405 loss: 1.1646 grounding_loss_reg: 3.5654 detection_loss_cls: 0.0549 detection_loss_reg: 0.4533 caption_loss_cls: 2.5465 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:19:30 - mmengine - INFO - Iter(train) [179200/480000] base_lr: 1.3936e-04 lr: 3.7613e-05 eta: 8 days, 19:12:00 time: 2.7353 data_time: 0.1427 memory: 25727 grad_norm: 0.8368 loss: 1.1583 grounding_loss_reg: 3.5634 detection_loss_cls: 0.0549 detection_loss_reg: 0.4529 caption_loss_cls: 2.5468 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.8098 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:24:14 - mmengine - INFO - Iter(train) [179300/480000] base_lr: 1.3930e-04 lr: 3.7598e-05 eta: 8 days, 19:28:47 time: 2.7367 data_time: 0.1426 memory: 26569 grad_norm: 0.8366 loss: 1.1573 grounding_loss_reg: 3.5624 detection_loss_cls: 0.0549 detection_loss_reg: 0.4519 caption_loss_cls: 2.5415 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.8100 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:28:39 - mmengine - INFO - Iter(train) [179400/480000] base_lr: 1.3925e-04 lr: 3.7582e-05 eta: 8 days, 19:32:34 time: 2.7438 data_time: 0.1426 memory: 26569 grad_norm: 0.8353 loss: 1.1544 grounding_loss_reg: 3.5614 detection_loss_cls: 0.0549 detection_loss_reg: 0.4520 caption_loss_cls: 2.5390 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.8098 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:33:19 - mmengine - INFO - Iter(train) [179500/480000] base_lr: 1.3919e-04 lr: 3.7567e-05 eta: 8 days, 19:46:36 time: 2.7501 data_time: 0.1426 memory: 25727 grad_norm: 0.8336 loss: 1.1561 grounding_loss_reg: 3.5607 detection_loss_cls: 0.0550 detection_loss_reg: 0.4527 caption_loss_cls: 2.5398 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.8101 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:33:19 - mmengine - INFO - Saving checkpoint at 179500 iterations 2023/10/20 13:38:26 - mmengine - INFO - Iter(train) [179600/480000] base_lr: 1.3913e-04 lr: 3.7551e-05 eta: 8 days, 20:17:15 time: 2.7523 data_time: 0.1431 memory: 25727 grad_norm: 0.8306 loss: 1.1563 grounding_loss_reg: 3.5603 detection_loss_cls: 0.0550 detection_loss_reg: 0.4520 caption_loss_cls: 2.5429 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8116 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:42:42 - mmengine - INFO - Iter(train) [179700/480000] base_lr: 1.3907e-04 lr: 3.7536e-05 eta: 8 days, 20:13:53 time: 2.7454 data_time: 0.1431 memory: 26569 grad_norm: 0.8355 loss: 1.1588 grounding_loss_reg: 3.5582 detection_loss_cls: 0.0550 detection_loss_reg: 0.4509 caption_loss_cls: 2.5441 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:47:05 - mmengine - INFO - Iter(train) [179800/480000] base_lr: 1.3901e-04 lr: 3.7520e-05 eta: 8 days, 20:15:05 time: 2.7450 data_time: 0.1431 memory: 26569 grad_norm: 0.8420 loss: 1.1598 grounding_loss_reg: 3.5566 detection_loss_cls: 0.0551 detection_loss_reg: 0.4517 caption_loss_cls: 2.5419 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8117 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:51:24 - mmengine - INFO - Iter(train) [179900/480000] base_lr: 1.3895e-04 lr: 3.7505e-05 eta: 8 days, 20:13:35 time: 2.7458 data_time: 0.1430 memory: 26569 grad_norm: 0.8446 loss: 1.1618 grounding_loss_reg: 3.5567 detection_loss_cls: 0.0551 detection_loss_reg: 0.4519 caption_loss_cls: 2.5383 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8119 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:55:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 13:55:32 - mmengine - INFO - Iter(train) [180000/480000] base_lr: 1.3889e-04 lr: 3.7489e-05 eta: 8 days, 20:05:17 time: 2.7405 data_time: 0.1431 memory: 26569 grad_norm: 0.8410 loss: 1.1529 grounding_loss_reg: 3.5565 detection_loss_cls: 0.0551 detection_loss_reg: 0.4515 caption_loss_cls: 2.5357 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8122 semantic_segmentation_loss_cls: 0.0146 2023/10/20 13:55:32 - mmengine - INFO - Saving checkpoint at 180000 iterations 2023/10/20 14:01:24 - mmengine - INFO - Evaluating bbox... 2023/10/20 14:02:30 - mmengine - INFO - bbox_mAP_copypaste: 0.466 0.642 0.514 0.318 0.518 0.607 2023/10/20 14:02:30 - mmengine - INFO - Evaluating segm... 2023/10/20 14:03:47 - mmengine - INFO - segm_mAP_copypaste: 0.302 0.543 0.296 0.168 0.350 0.468 2023/10/20 14:05:12 - mmengine - INFO - Evaluating bbox... 2023/10/20 14:06:17 - mmengine - INFO - bbox_mAP_copypaste: 0.470 0.646 0.517 0.320 0.522 0.606 2023/10/20 14:10:03 - mmengine - INFO - per class results: 2023/10/20 14:10:03 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.68 | 85.79 | | building | 80.22 | 93.4 | | sky | 93.12 | 96.65 | | floor | 80.27 | 89.61 | | tree | 71.31 | 88.88 | | ceiling | 80.25 | 96.87 | | road | 82.81 | 88.81 | | bed | 83.93 | 95.39 | | windowpane | 59.94 | 71.24 | | grass | 68.33 | 84.95 | | cabinet | 59.03 | 70.9 | | sidewalk | 65.16 | 79.84 | | person | 79.0 | 88.14 | | earth | 34.69 | 45.0 | | door | 49.05 | 69.57 | | table | 56.9 | 80.02 | | mountain | 57.83 | 73.7 | | plant | 49.98 | 58.34 | | curtain | 68.79 | 87.81 | | chair | 53.66 | 67.95 | | car | 79.73 | 90.97 | | water | 41.14 | 45.65 | | painting | 68.49 | 84.77 | | sofa | 57.7 | 67.17 | | shelf | 39.04 | 60.71 | | house | 29.82 | 38.43 | | sea | 68.04 | 88.45 | | mirror | 62.27 | 68.48 | | rug | 60.2 | 66.97 | | field | 26.52 | 38.86 | | armchair | 40.59 | 76.17 | | seat | 60.73 | 85.26 | | fence | 43.13 | 63.43 | | desk | 40.5 | 56.63 | | rock | 51.05 | 67.95 | | wardrobe | 52.52 | 64.75 | | lamp | 50.48 | 57.24 | | bathtub | 71.0 | 84.0 | | railing | 26.15 | 33.07 | | cushion | 43.06 | 48.68 | | base | 15.12 | 17.1 | | box | 29.23 | 35.06 | | column | 43.34 | 54.16 | | signboard | 35.1 | 45.71 | | chest of drawers | 35.98 | 61.92 | | counter | 32.26 | 42.65 | | sand | 43.88 | 53.89 | | sink | 68.76 | 80.03 | | skyscraper | 45.55 | 51.35 | | fireplace | 64.46 | 88.55 | | refrigerator | 73.69 | 84.32 | | grandstand | 34.27 | 71.97 | | path | 25.58 | 35.83 | | stairs | 32.26 | 52.51 | | runway | 73.49 | 92.57 | | case | 53.44 | 72.16 | | pool table | 86.93 | 92.92 | | pillow | 30.39 | 32.54 | | screen door | 66.22 | 76.41 | | stairway | 26.4 | 28.65 | | river | 18.6 | 74.73 | | bridge | 70.5 | 83.22 | | bookcase | 33.53 | 49.25 | | blind | 36.74 | 42.12 | | coffee table | 41.41 | 43.78 | | toilet | 84.53 | 88.3 | | flower | 28.95 | 40.99 | | book | 41.5 | 61.31 | | hill | 3.02 | 4.5 | | bench | 45.78 | 70.13 | | countertop | 52.47 | 64.23 | | stove | 66.23 | 81.31 | | palm | 42.37 | 48.32 | | kitchen island | 30.64 | 66.75 | | computer | 71.88 | 82.1 | | swivel chair | 37.01 | 49.12 | | boat | 57.95 | 75.08 | | bar | 40.34 | 52.97 | | arcade machine | 25.86 | 26.8 | | hovel | 21.57 | 24.88 | | bus | 89.66 | 94.84 | | towel | 53.14 | 60.11 | | light | 30.9 | 33.26 | | truck | 34.75 | 61.34 | | tower | 18.52 | 25.66 | | chandelier | 58.5 | 66.58 | | awning | 14.08 | 16.66 | | streetlight | 21.84 | 25.04 | | booth | 25.16 | 43.8 | | television receiver | 66.14 | 79.92 | | airplane | 59.04 | 69.26 | | dirt track | 11.97 | 24.94 | | apparel | 22.39 | 27.08 | | pole | 22.16 | 41.94 | | land | 0.0 | 0.0 | | bannister | 6.8 | 13.14 | | escalator | 30.52 | 37.26 | | ottoman | 40.57 | 67.86 | | bottle | 14.02 | 15.09 | | buffet | 42.64 | 50.2 | | poster | 23.01 | 29.84 | | stage | 10.39 | 12.63 | | van | 20.1 | 26.61 | | ship | 66.85 | 84.22 | | fountain | 31.77 | 33.73 | | conveyer belt | 45.96 | 95.31 | | canopy | 18.15 | 27.5 | | washer | 63.22 | 64.47 | | plaything | 24.96 | 34.5 | | swimming pool | 53.15 | 82.76 | | stool | 41.47 | 51.15 | | barrel | 38.57 | 62.5 | | basket | 26.97 | 40.3 | | waterfall | 63.84 | 91.52 | | tent | 89.01 | 97.05 | | bag | 12.26 | 13.05 | | minibike | 69.13 | 82.98 | | cradle | 65.45 | 94.09 | | oven | 22.33 | 25.04 | | ball | 41.35 | 52.26 | | food | 45.68 | 50.61 | | step | 2.97 | 3.68 | | tank | 29.57 | 33.13 | | trade name | 16.43 | 17.06 | | microwave | 84.68 | 95.14 | | pot | 42.35 | 49.18 | | animal | 59.63 | 64.33 | | bicycle | 55.86 | 76.6 | | lake | 0.4 | 0.41 | | dishwasher | 56.44 | 76.41 | | screen | 66.38 | 81.7 | | blanket | 0.63 | 0.65 | | sculpture | 48.29 | 51.9 | | hood | 51.78 | 63.06 | | sconce | 18.55 | 53.06 | | vase | 34.41 | 42.44 | | traffic light | 26.66 | 31.08 | | tray | 4.91 | 6.15 | | ashcan | 36.27 | 43.58 | | fan | 46.8 | 55.68 | | pier | 43.96 | 55.92 | | crt screen | 4.0 | 14.87 | | plate | 44.86 | 57.99 | | monitor | 11.22 | 12.57 | | bulletin board | 34.23 | 52.52 | | shower | 0.0 | 0.0 | | radiator | 53.65 | 62.41 | | glass | 12.6 | 13.36 | | clock | 20.98 | 23.09 | | flag | 61.91 | 69.25 | +---------------------+-------+-------+ 2023/10/20 14:10:27 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.3557 data_time: 0.0227 memory: 27844 2023/10/20 14:10:48 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.4700 coco/bbox_mAP_50: 0.6460 coco/bbox_mAP_75: 0.5170 coco/bbox_mAP_s: 0.3200 coco/bbox_mAP_m: 0.5220 coco/bbox_mAP_l: 0.6060 coco/segm_mAP: 0.3020 coco/segm_mAP_50: 0.5430 coco/segm_mAP_75: 0.2960 coco/segm_mAP_s: 0.1680 coco/segm_mAP_m: 0.3500 coco/segm_mAP_l: 0.4680 Bleu_1: 0.7372 Bleu_2: 0.5612 Bleu_3: 0.4163 Bleu_4: 0.3046 METEOR: 0.2598 ROUGE_L: 0.5416 CIDEr: 0.9901 SPICE: 0.1876 aAcc: 81.3800 mIoU: 44.2400 mAcc: 56.0900 visual-grounding/miou: 0.6893 visual-grounding/acc: 0.7808 data_time: 0.0019 time: 0.2340 2023/10/20 14:15:09 - mmengine - INFO - Iter(train) [180100/480000] base_lr: 1.3883e-04 lr: 3.7474e-05 eta: 8 days, 20:08:00 time: 2.7277 data_time: 0.1279 memory: 26569 grad_norm: 0.8402 loss: 1.1610 grounding_loss_reg: 3.5551 detection_loss_cls: 0.0549 detection_loss_reg: 0.4513 caption_loss_cls: 2.5360 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8156 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:19:21 - mmengine - INFO - Iter(train) [180200/480000] base_lr: 1.3877e-04 lr: 3.7458e-05 eta: 8 days, 20:01:55 time: 2.7210 data_time: 0.1279 memory: 25728 grad_norm: 0.8425 loss: 1.1615 grounding_loss_reg: 3.5549 detection_loss_cls: 0.0549 detection_loss_reg: 0.4519 caption_loss_cls: 2.5353 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8160 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:23:50 - mmengine - INFO - Iter(train) [180300/480000] base_lr: 1.3871e-04 lr: 3.7442e-05 eta: 8 days, 20:06:26 time: 2.7294 data_time: 0.1281 memory: 26569 grad_norm: 0.8430 loss: 1.1674 grounding_loss_reg: 3.5554 detection_loss_cls: 0.0549 detection_loss_reg: 0.4513 caption_loss_cls: 2.5319 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8186 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:28:06 - mmengine - INFO - Iter(train) [180400/480000] base_lr: 1.3865e-04 lr: 3.7427e-05 eta: 8 days, 20:02:51 time: 2.7303 data_time: 0.1282 memory: 26569 grad_norm: 0.8430 loss: 1.1709 grounding_loss_reg: 3.5546 detection_loss_cls: 0.0547 detection_loss_reg: 0.4504 caption_loss_cls: 2.5295 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8168 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:32:07 - mmengine - INFO - Iter(train) [180500/480000] base_lr: 1.3859e-04 lr: 3.7411e-05 eta: 8 days, 19:50:27 time: 2.7273 data_time: 0.1283 memory: 25728 grad_norm: 0.8450 loss: 1.1738 grounding_loss_reg: 3.5537 detection_loss_cls: 0.0547 detection_loss_reg: 0.4511 caption_loss_cls: 2.5295 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8159 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:32:07 - mmengine - INFO - Saving checkpoint at 180500 iterations 2023/10/20 14:37:29 - mmengine - INFO - Iter(train) [180600/480000] base_lr: 1.3853e-04 lr: 3.7396e-05 eta: 8 days, 20:25:00 time: 2.7265 data_time: 0.1302 memory: 26569 grad_norm: 0.8442 loss: 1.1756 grounding_loss_reg: 3.5526 detection_loss_cls: 0.0547 detection_loss_reg: 0.4524 caption_loss_cls: 2.5301 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8156 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:41:14 - mmengine - INFO - Iter(train) [180700/480000] base_lr: 1.3847e-04 lr: 3.7380e-05 eta: 8 days, 20:03:25 time: 2.7134 data_time: 0.1302 memory: 26569 grad_norm: 0.8456 loss: 1.1729 grounding_loss_reg: 3.5530 detection_loss_cls: 0.0547 detection_loss_reg: 0.4519 caption_loss_cls: 2.5296 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8158 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:45:06 - mmengine - INFO - Iter(train) [180800/480000] base_lr: 1.3841e-04 lr: 3.7365e-05 eta: 8 days, 19:46:06 time: 2.6992 data_time: 0.1302 memory: 25728 grad_norm: 0.8531 loss: 1.1801 grounding_loss_reg: 3.5524 detection_loss_cls: 0.0546 detection_loss_reg: 0.4520 caption_loss_cls: 2.5304 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3060 instance_segmentation_loss_poly: 0.8163 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:49:14 - mmengine - INFO - Iter(train) [180900/480000] base_lr: 1.3835e-04 lr: 3.7349e-05 eta: 8 days, 19:37:55 time: 2.7023 data_time: 0.1303 memory: 26569 grad_norm: 0.8593 loss: 1.1824 grounding_loss_reg: 3.5541 detection_loss_cls: 0.0554 detection_loss_reg: 0.4543 caption_loss_cls: 2.5285 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8156 semantic_segmentation_loss_cls: 0.0146 2023/10/20 14:53:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 14:53:40 - mmengine - INFO - Iter(train) [181000/480000] base_lr: 1.3829e-04 lr: 3.7334e-05 eta: 8 days, 19:40:00 time: 2.7102 data_time: 0.1304 memory: 25728 grad_norm: 0.8541 loss: 1.1817 grounding_loss_reg: 3.5541 detection_loss_cls: 0.0554 detection_loss_reg: 0.4549 caption_loss_cls: 2.5277 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8152 semantic_segmentation_loss_cls: 0.0145 2023/10/20 14:53:40 - mmengine - INFO - Saving checkpoint at 181000 iterations 2023/10/20 14:58:55 - mmengine - INFO - Iter(train) [181100/480000] base_lr: 1.3823e-04 lr: 3.7318e-05 eta: 8 days, 20:08:57 time: 2.7027 data_time: 0.1311 memory: 25728 grad_norm: 0.8516 loss: 1.1820 grounding_loss_reg: 3.5533 detection_loss_cls: 0.0554 detection_loss_reg: 0.4555 caption_loss_cls: 2.5261 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8155 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:03:03 - mmengine - INFO - Iter(train) [181200/480000] base_lr: 1.3817e-04 lr: 3.7302e-05 eta: 8 days, 20:00:21 time: 2.6962 data_time: 0.1311 memory: 25728 grad_norm: 0.8472 loss: 1.1766 grounding_loss_reg: 3.5539 detection_loss_cls: 0.0552 detection_loss_reg: 0.4548 caption_loss_cls: 2.5225 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8144 semantic_segmentation_loss_cls: 0.0146 2023/10/20 15:07:00 - mmengine - INFO - Iter(train) [181300/480000] base_lr: 1.3811e-04 lr: 3.7287e-05 eta: 8 days, 19:46:29 time: 2.6857 data_time: 0.1310 memory: 25728 grad_norm: 0.8431 loss: 1.1797 grounding_loss_reg: 3.5531 detection_loss_cls: 0.0554 detection_loss_reg: 0.4545 caption_loss_cls: 2.5198 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3050 instance_segmentation_loss_poly: 0.8137 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:11:10 - mmengine - INFO - Iter(train) [181400/480000] base_lr: 1.3805e-04 lr: 3.7271e-05 eta: 8 days, 19:39:07 time: 2.6828 data_time: 0.1310 memory: 26569 grad_norm: 0.8393 loss: 1.1740 grounding_loss_reg: 3.5532 detection_loss_cls: 0.0553 detection_loss_reg: 0.4547 caption_loss_cls: 2.5155 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3044 instance_segmentation_loss_poly: 0.8120 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:15:11 - mmengine - INFO - Iter(train) [181500/480000] base_lr: 1.3799e-04 lr: 3.7256e-05 eta: 8 days, 19:27:17 time: 2.6696 data_time: 0.1310 memory: 25728 grad_norm: 0.8423 loss: 1.1820 grounding_loss_reg: 3.5541 detection_loss_cls: 0.0552 detection_loss_reg: 0.4553 caption_loss_cls: 2.5163 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3045 instance_segmentation_loss_poly: 0.8120 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:15:11 - mmengine - INFO - Saving checkpoint at 181500 iterations 2023/10/20 15:20:36 - mmengine - INFO - Iter(train) [181600/480000] base_lr: 1.3793e-04 lr: 3.7240e-05 eta: 8 days, 19:59:28 time: 2.6690 data_time: 0.1314 memory: 25728 grad_norm: 0.8452 loss: 1.1888 grounding_loss_reg: 3.5530 detection_loss_cls: 0.0552 detection_loss_reg: 0.4559 caption_loss_cls: 2.5164 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:24:34 - mmengine - INFO - Iter(train) [181700/480000] base_lr: 1.3787e-04 lr: 3.7225e-05 eta: 8 days, 19:46:00 time: 2.6645 data_time: 0.1314 memory: 25728 grad_norm: 0.8465 loss: 1.1889 grounding_loss_reg: 3.5530 detection_loss_cls: 0.0553 detection_loss_reg: 0.4555 caption_loss_cls: 2.5164 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.8076 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:28:59 - mmengine - INFO - Iter(train) [181800/480000] base_lr: 1.3781e-04 lr: 3.7209e-05 eta: 8 days, 19:46:32 time: 2.6620 data_time: 0.1311 memory: 26569 grad_norm: 0.8474 loss: 1.1881 grounding_loss_reg: 3.5520 detection_loss_cls: 0.0553 detection_loss_reg: 0.4545 caption_loss_cls: 2.5164 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8094 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:32:56 - mmengine - INFO - Iter(train) [181900/480000] base_lr: 1.3775e-04 lr: 3.7193e-05 eta: 8 days, 19:32:58 time: 2.6519 data_time: 0.1311 memory: 26569 grad_norm: 0.8457 loss: 1.1824 grounding_loss_reg: 3.5511 detection_loss_cls: 0.0553 detection_loss_reg: 0.4536 caption_loss_cls: 2.5175 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:37:21 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 15:37:21 - mmengine - INFO - Iter(train) [182000/480000] base_lr: 1.3769e-04 lr: 3.7178e-05 eta: 8 days, 19:33:33 time: 2.6592 data_time: 0.1311 memory: 25728 grad_norm: 0.8454 loss: 1.1808 grounding_loss_reg: 3.5490 detection_loss_cls: 0.0554 detection_loss_reg: 0.4538 caption_loss_cls: 2.5174 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:37:21 - mmengine - INFO - Saving checkpoint at 182000 iterations 2023/10/20 15:42:59 - mmengine - INFO - Iter(train) [182100/480000] base_lr: 1.3763e-04 lr: 3.7162e-05 eta: 8 days, 20:09:33 time: 2.6629 data_time: 0.1325 memory: 26569 grad_norm: 0.8460 loss: 1.1822 grounding_loss_reg: 3.5501 detection_loss_cls: 0.0553 detection_loss_reg: 0.4536 caption_loss_cls: 2.5166 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8099 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:47:15 - mmengine - INFO - Iter(train) [182200/480000] base_lr: 1.3757e-04 lr: 3.7147e-05 eta: 8 days, 20:05:16 time: 2.6584 data_time: 0.1325 memory: 25728 grad_norm: 0.8444 loss: 1.1810 grounding_loss_reg: 3.5491 detection_loss_cls: 0.0553 detection_loss_reg: 0.4533 caption_loss_cls: 2.5167 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3037 instance_segmentation_loss_poly: 0.8102 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:51:32 - mmengine - INFO - Iter(train) [182300/480000] base_lr: 1.3751e-04 lr: 3.7131e-05 eta: 8 days, 20:00:59 time: 2.6520 data_time: 0.1326 memory: 26569 grad_norm: 0.8445 loss: 1.1772 grounding_loss_reg: 3.5479 detection_loss_cls: 0.0553 detection_loss_reg: 0.4529 caption_loss_cls: 2.5146 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:54:41 - mmengine - INFO - Iter(train) [182400/480000] base_lr: 1.3744e-04 lr: 3.7115e-05 eta: 8 days, 19:24:57 time: 2.6398 data_time: 0.1324 memory: 25728 grad_norm: 0.8506 loss: 1.1869 grounding_loss_reg: 3.5491 detection_loss_cls: 0.0549 detection_loss_reg: 0.4526 caption_loss_cls: 2.5160 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8103 semantic_segmentation_loss_cls: 0.0145 2023/10/20 15:59:00 - mmengine - INFO - Iter(train) [182500/480000] base_lr: 1.3738e-04 lr: 3.7100e-05 eta: 8 days, 19:22:10 time: 2.6355 data_time: 0.1324 memory: 25728 grad_norm: 0.8523 loss: 1.1866 grounding_loss_reg: 3.5485 detection_loss_cls: 0.0551 detection_loss_reg: 0.4546 caption_loss_cls: 2.5159 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8091 semantic_segmentation_loss_cls: 0.0146 2023/10/20 15:59:00 - mmengine - INFO - Saving checkpoint at 182500 iterations 2023/10/20 16:03:56 - mmengine - INFO - Iter(train) [182600/480000] base_lr: 1.3732e-04 lr: 3.7084e-05 eta: 8 days, 19:36:42 time: 2.6278 data_time: 0.1328 memory: 26569 grad_norm: 0.8564 loss: 1.1894 grounding_loss_reg: 3.5461 detection_loss_cls: 0.0552 detection_loss_reg: 0.4557 caption_loss_cls: 2.5172 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.8082 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:07:41 - mmengine - INFO - Iter(train) [182700/480000] base_lr: 1.3726e-04 lr: 3.7068e-05 eta: 8 days, 19:17:55 time: 2.6181 data_time: 0.1329 memory: 26569 grad_norm: 0.8565 loss: 1.1917 grounding_loss_reg: 3.5466 detection_loss_cls: 0.0550 detection_loss_reg: 0.4543 caption_loss_cls: 2.5148 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8083 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:11:35 - mmengine - INFO - Iter(train) [182800/480000] base_lr: 1.3720e-04 lr: 3.7053e-05 eta: 8 days, 19:03:24 time: 2.6135 data_time: 0.1330 memory: 26569 grad_norm: 0.8613 loss: 1.2068 grounding_loss_reg: 3.5479 detection_loss_cls: 0.0549 detection_loss_reg: 0.4540 caption_loss_cls: 2.5120 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3042 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:15:46 - mmengine - INFO - Iter(train) [182900/480000] base_lr: 1.3714e-04 lr: 3.7037e-05 eta: 8 days, 18:56:59 time: 2.6147 data_time: 0.1331 memory: 26569 grad_norm: 0.8588 loss: 1.2085 grounding_loss_reg: 3.5470 detection_loss_cls: 0.0553 detection_loss_reg: 0.4551 caption_loss_cls: 2.5134 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3050 instance_segmentation_loss_poly: 0.8104 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:19:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 16:19:39 - mmengine - INFO - Iter(train) [183000/480000] base_lr: 1.3708e-04 lr: 3.7022e-05 eta: 8 days, 18:42:33 time: 2.6150 data_time: 0.1331 memory: 26569 grad_norm: 0.8532 loss: 1.1943 grounding_loss_reg: 3.5468 detection_loss_cls: 0.0549 detection_loss_reg: 0.4540 caption_loss_cls: 2.5118 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3047 instance_segmentation_loss_poly: 0.8099 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:19:39 - mmengine - INFO - Saving checkpoint at 183000 iterations 2023/10/20 16:24:55 - mmengine - INFO - Iter(train) [183100/480000] base_lr: 1.3702e-04 lr: 3.7006e-05 eta: 8 days, 19:05:34 time: 2.6170 data_time: 0.1346 memory: 25728 grad_norm: 0.8477 loss: 1.1826 grounding_loss_reg: 3.5469 detection_loss_cls: 0.0549 detection_loss_reg: 0.4539 caption_loss_cls: 2.5097 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3040 instance_segmentation_loss_poly: 0.8083 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:28:52 - mmengine - INFO - Iter(train) [183200/480000] base_lr: 1.3696e-04 lr: 3.6990e-05 eta: 8 days, 18:52:32 time: 2.6120 data_time: 0.1346 memory: 26569 grad_norm: 0.8498 loss: 1.1818 grounding_loss_reg: 3.5459 detection_loss_cls: 0.0547 detection_loss_reg: 0.4520 caption_loss_cls: 2.5092 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8080 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:32:52 - mmengine - INFO - Iter(train) [183300/480000] base_lr: 1.3690e-04 lr: 3.6975e-05 eta: 8 days, 18:41:31 time: 2.6013 data_time: 0.1346 memory: 25728 grad_norm: 0.8506 loss: 1.1831 grounding_loss_reg: 3.5472 detection_loss_cls: 0.0549 detection_loss_reg: 0.4523 caption_loss_cls: 2.5112 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8070 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:36:43 - mmengine - INFO - Iter(train) [183400/480000] base_lr: 1.3684e-04 lr: 3.6959e-05 eta: 8 days, 18:26:28 time: 2.5927 data_time: 0.1346 memory: 26569 grad_norm: 0.8499 loss: 1.1821 grounding_loss_reg: 3.5473 detection_loss_cls: 0.0549 detection_loss_reg: 0.4528 caption_loss_cls: 2.5102 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.8070 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:40:56 - mmengine - INFO - Iter(train) [183500/480000] base_lr: 1.3678e-04 lr: 3.6943e-05 eta: 8 days, 18:21:13 time: 2.5858 data_time: 0.1346 memory: 25728 grad_norm: 0.8473 loss: 1.1790 grounding_loss_reg: 3.5446 detection_loss_cls: 0.0550 detection_loss_reg: 0.4541 caption_loss_cls: 2.5077 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8076 semantic_segmentation_loss_cls: 0.0144 2023/10/20 16:40:56 - mmengine - INFO - Saving checkpoint at 183500 iterations 2023/10/20 16:46:02 - mmengine - INFO - Iter(train) [183600/480000] base_lr: 1.3672e-04 lr: 3.6928e-05 eta: 8 days, 18:38:19 time: 2.5855 data_time: 0.1352 memory: 26569 grad_norm: 0.8492 loss: 1.1748 grounding_loss_reg: 3.5440 detection_loss_cls: 0.0550 detection_loss_reg: 0.4537 caption_loss_cls: 2.5058 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.8066 semantic_segmentation_loss_cls: 0.0145 2023/10/20 16:50:33 - mmengine - INFO - Iter(train) [183700/480000] base_lr: 1.3666e-04 lr: 3.6912e-05 eta: 8 days, 18:40:37 time: 2.5895 data_time: 0.1353 memory: 25728 grad_norm: 0.8483 loss: 1.1760 grounding_loss_reg: 3.5447 detection_loss_cls: 0.0549 detection_loss_reg: 0.4532 caption_loss_cls: 2.5059 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8062 semantic_segmentation_loss_cls: 0.0144 2023/10/20 16:55:04 - mmengine - INFO - Iter(train) [183800/480000] base_lr: 1.3660e-04 lr: 3.6896e-05 eta: 8 days, 18:42:50 time: 2.5916 data_time: 0.1353 memory: 26569 grad_norm: 0.8446 loss: 1.1690 grounding_loss_reg: 3.5431 detection_loss_cls: 0.0547 detection_loss_reg: 0.4516 caption_loss_cls: 2.5037 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3017 instance_segmentation_loss_poly: 0.8032 semantic_segmentation_loss_cls: 0.0144 2023/10/20 16:59:04 - mmengine - INFO - Iter(train) [183900/480000] base_lr: 1.3654e-04 lr: 3.6881e-05 eta: 8 days, 18:31:40 time: 2.5868 data_time: 0.1354 memory: 25728 grad_norm: 0.8434 loss: 1.1674 grounding_loss_reg: 3.5396 detection_loss_cls: 0.0545 detection_loss_reg: 0.4501 caption_loss_cls: 2.5045 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.8043 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:02:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 17:02:43 - mmengine - INFO - Iter(train) [184000/480000] base_lr: 1.3648e-04 lr: 3.6865e-05 eta: 8 days, 18:12:03 time: 2.5794 data_time: 0.1354 memory: 26569 grad_norm: 0.8539 loss: 1.1835 grounding_loss_reg: 3.5377 detection_loss_cls: 0.0545 detection_loss_reg: 0.4505 caption_loss_cls: 2.5088 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.8045 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:02:43 - mmengine - INFO - Saving checkpoint at 184000 iterations 2023/10/20 17:07:51 - mmengine - INFO - Iter(train) [184100/480000] base_lr: 1.3642e-04 lr: 3.6849e-05 eta: 8 days, 18:29:18 time: 2.5900 data_time: 0.1512 memory: 26569 grad_norm: 0.8525 loss: 1.1742 grounding_loss_reg: 3.5366 detection_loss_cls: 0.0543 detection_loss_reg: 0.4499 caption_loss_cls: 2.5065 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3023 instance_segmentation_loss_poly: 0.8046 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:11:51 - mmengine - INFO - Iter(train) [184200/480000] base_lr: 1.3636e-04 lr: 3.6834e-05 eta: 8 days, 18:18:36 time: 2.5872 data_time: 0.1512 memory: 26569 grad_norm: 0.8550 loss: 1.1822 grounding_loss_reg: 3.5378 detection_loss_cls: 0.0544 detection_loss_reg: 0.4514 caption_loss_cls: 2.5035 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8064 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:15:45 - mmengine - INFO - Iter(train) [184300/480000] base_lr: 1.3630e-04 lr: 3.6818e-05 eta: 8 days, 18:05:13 time: 2.5782 data_time: 0.1511 memory: 26569 grad_norm: 0.8547 loss: 1.1799 grounding_loss_reg: 3.5373 detection_loss_cls: 0.0545 detection_loss_reg: 0.4519 caption_loss_cls: 2.5026 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8076 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:19:56 - mmengine - INFO - Iter(train) [184400/480000] base_lr: 1.3624e-04 lr: 3.6802e-05 eta: 8 days, 17:59:21 time: 2.5771 data_time: 0.1510 memory: 26569 grad_norm: 0.8544 loss: 1.1755 grounding_loss_reg: 3.5355 detection_loss_cls: 0.0546 detection_loss_reg: 0.4527 caption_loss_cls: 2.5021 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.8071 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:24:15 - mmengine - INFO - Iter(train) [184500/480000] base_lr: 1.3618e-04 lr: 3.6786e-05 eta: 8 days, 17:56:23 time: 2.5817 data_time: 0.1510 memory: 26569 grad_norm: 0.8510 loss: 1.1771 grounding_loss_reg: 3.5347 detection_loss_cls: 0.0546 detection_loss_reg: 0.4534 caption_loss_cls: 2.5031 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8077 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:24:15 - mmengine - INFO - Saving checkpoint at 184500 iterations 2023/10/20 17:29:27 - mmengine - INFO - Iter(train) [184600/480000] base_lr: 1.3612e-04 lr: 3.6771e-05 eta: 8 days, 18:14:06 time: 2.5793 data_time: 0.1505 memory: 25728 grad_norm: 0.8569 loss: 1.1821 grounding_loss_reg: 3.5337 detection_loss_cls: 0.0543 detection_loss_reg: 0.4522 caption_loss_cls: 2.5039 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8081 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:33:27 - mmengine - INFO - Iter(train) [184700/480000] base_lr: 1.3606e-04 lr: 3.6755e-05 eta: 8 days, 18:03:18 time: 2.5828 data_time: 0.1505 memory: 25728 grad_norm: 0.8595 loss: 1.1864 grounding_loss_reg: 3.5326 detection_loss_cls: 0.0542 detection_loss_reg: 0.4517 caption_loss_cls: 2.5038 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8079 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:38:14 - mmengine - INFO - Iter(train) [184800/480000] base_lr: 1.3599e-04 lr: 3.6739e-05 eta: 8 days, 18:11:03 time: 2.5967 data_time: 0.1505 memory: 26569 grad_norm: 0.8463 loss: 1.1746 grounding_loss_reg: 3.5322 detection_loss_cls: 0.0541 detection_loss_reg: 0.4508 caption_loss_cls: 2.5046 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3041 instance_segmentation_loss_poly: 0.8092 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:42:34 - mmengine - INFO - Iter(train) [184900/480000] base_lr: 1.3593e-04 lr: 3.6724e-05 eta: 8 days, 18:08:10 time: 2.5997 data_time: 0.1506 memory: 26569 grad_norm: 0.8378 loss: 1.1772 grounding_loss_reg: 3.5317 detection_loss_cls: 0.0541 detection_loss_reg: 0.4502 caption_loss_cls: 2.5073 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8114 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:46:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 17:46:35 - mmengine - INFO - Iter(train) [185000/480000] base_lr: 1.3587e-04 lr: 3.6708e-05 eta: 8 days, 17:58:00 time: 2.5934 data_time: 0.1505 memory: 25728 grad_norm: 0.8399 loss: 1.1769 grounding_loss_reg: 3.5318 detection_loss_cls: 0.0541 detection_loss_reg: 0.4503 caption_loss_cls: 2.5033 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:46:35 - mmengine - INFO - Saving checkpoint at 185000 iterations 2023/10/20 17:51:54 - mmengine - INFO - Iter(train) [185100/480000] base_lr: 1.3581e-04 lr: 3.6692e-05 eta: 8 days, 18:17:12 time: 2.5942 data_time: 0.1505 memory: 26569 grad_norm: 0.8433 loss: 1.1786 grounding_loss_reg: 3.5308 detection_loss_cls: 0.0543 detection_loss_reg: 0.4511 caption_loss_cls: 2.5014 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8119 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:55:59 - mmengine - INFO - Iter(train) [185200/480000] base_lr: 1.3575e-04 lr: 3.6676e-05 eta: 8 days, 18:08:40 time: 2.5936 data_time: 0.1504 memory: 25728 grad_norm: 0.8480 loss: 1.1805 grounding_loss_reg: 3.5303 detection_loss_cls: 0.0542 detection_loss_reg: 0.4513 caption_loss_cls: 2.5006 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8119 semantic_segmentation_loss_cls: 0.0144 2023/10/20 17:59:55 - mmengine - INFO - Iter(train) [185300/480000] base_lr: 1.3569e-04 lr: 3.6661e-05 eta: 8 days, 17:56:38 time: 2.5932 data_time: 0.1505 memory: 26569 grad_norm: 0.8483 loss: 1.1831 grounding_loss_reg: 3.5289 detection_loss_cls: 0.0542 detection_loss_reg: 0.4504 caption_loss_cls: 2.4975 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8136 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:04:13 - mmengine - INFO - Iter(train) [185400/480000] base_lr: 1.3563e-04 lr: 3.6645e-05 eta: 8 days, 17:52:53 time: 2.5953 data_time: 0.1505 memory: 26569 grad_norm: 0.8485 loss: 1.1885 grounding_loss_reg: 3.5287 detection_loss_cls: 0.0542 detection_loss_reg: 0.4515 caption_loss_cls: 2.4963 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8140 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:08:45 - mmengine - INFO - Iter(train) [185500/480000] base_lr: 1.3557e-04 lr: 3.6629e-05 eta: 8 days, 17:54:09 time: 2.6031 data_time: 0.1520 memory: 25728 grad_norm: 0.8494 loss: 1.1890 grounding_loss_reg: 3.5282 detection_loss_cls: 0.0542 detection_loss_reg: 0.4522 caption_loss_cls: 2.5024 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8153 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:08:45 - mmengine - INFO - Saving checkpoint at 185500 iterations 2023/10/20 18:13:47 - mmengine - INFO - Iter(train) [185600/480000] base_lr: 1.3551e-04 lr: 3.6614e-05 eta: 8 days, 18:06:29 time: 2.5974 data_time: 0.1522 memory: 25728 grad_norm: 0.8531 loss: 1.1929 grounding_loss_reg: 3.5283 detection_loss_cls: 0.0542 detection_loss_reg: 0.4528 caption_loss_cls: 2.4993 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8166 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:17:43 - mmengine - INFO - Iter(train) [185700/480000] base_lr: 1.3545e-04 lr: 3.6598e-05 eta: 8 days, 17:54:35 time: 2.5969 data_time: 0.1522 memory: 26569 grad_norm: 0.8502 loss: 1.1901 grounding_loss_reg: 3.5283 detection_loss_cls: 0.0542 detection_loss_reg: 0.4525 caption_loss_cls: 2.4958 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8165 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:22:04 - mmengine - INFO - Iter(train) [185800/480000] base_lr: 1.3539e-04 lr: 3.6582e-05 eta: 8 days, 17:51:48 time: 2.5958 data_time: 0.1521 memory: 26569 grad_norm: 0.8471 loss: 1.1884 grounding_loss_reg: 3.5284 detection_loss_cls: 0.0544 detection_loss_reg: 0.4544 caption_loss_cls: 2.4973 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3084 instance_segmentation_loss_poly: 0.8177 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:26:34 - mmengine - INFO - Iter(train) [185900/480000] base_lr: 1.3533e-04 lr: 3.6566e-05 eta: 8 days, 17:52:07 time: 2.6040 data_time: 0.1522 memory: 26569 grad_norm: 0.8469 loss: 1.1953 grounding_loss_reg: 3.5295 detection_loss_cls: 0.0544 detection_loss_reg: 0.4550 caption_loss_cls: 2.4987 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3084 instance_segmentation_loss_poly: 0.8172 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:30:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 18:30:30 - mmengine - INFO - Iter(train) [186000/480000] base_lr: 1.3527e-04 lr: 3.6550e-05 eta: 8 days, 17:40:39 time: 2.5968 data_time: 0.1521 memory: 25728 grad_norm: 0.8452 loss: 1.1925 grounding_loss_reg: 3.5281 detection_loss_cls: 0.0546 detection_loss_reg: 0.4558 caption_loss_cls: 2.4957 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8163 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:30:30 - mmengine - INFO - Saving checkpoint at 186000 iterations 2023/10/20 18:35:45 - mmengine - INFO - Iter(train) [186100/480000] base_lr: 1.3521e-04 lr: 3.6535e-05 eta: 8 days, 17:56:36 time: 2.5912 data_time: 0.1517 memory: 26569 grad_norm: 0.8472 loss: 1.1962 grounding_loss_reg: 3.5262 detection_loss_cls: 0.0547 detection_loss_reg: 0.4570 caption_loss_cls: 2.4980 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8155 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:39:53 - mmengine - INFO - Iter(train) [186200/480000] base_lr: 1.3514e-04 lr: 3.6519e-05 eta: 8 days, 17:48:55 time: 2.5889 data_time: 0.1516 memory: 26569 grad_norm: 0.8503 loss: 1.1949 grounding_loss_reg: 3.5253 detection_loss_cls: 0.0548 detection_loss_reg: 0.4578 caption_loss_cls: 2.4966 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8150 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:43:56 - mmengine - INFO - Iter(train) [186300/480000] base_lr: 1.3508e-04 lr: 3.6503e-05 eta: 8 days, 17:39:59 time: 2.5857 data_time: 0.1515 memory: 26569 grad_norm: 0.8528 loss: 1.1959 grounding_loss_reg: 3.5245 detection_loss_cls: 0.0547 detection_loss_reg: 0.4576 caption_loss_cls: 2.4941 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8134 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:48:00 - mmengine - INFO - Iter(train) [186400/480000] base_lr: 1.3502e-04 lr: 3.6487e-05 eta: 8 days, 17:31:16 time: 2.5992 data_time: 0.1516 memory: 25728 grad_norm: 0.8472 loss: 1.1813 grounding_loss_reg: 3.5240 detection_loss_cls: 0.0547 detection_loss_reg: 0.4577 caption_loss_cls: 2.4911 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8113 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:52:11 - mmengine - INFO - Iter(train) [186500/480000] base_lr: 1.3496e-04 lr: 3.6472e-05 eta: 8 days, 17:24:56 time: 2.5972 data_time: 0.1515 memory: 25728 grad_norm: 0.8461 loss: 1.1839 grounding_loss_reg: 3.5238 detection_loss_cls: 0.0549 detection_loss_reg: 0.4580 caption_loss_cls: 2.4955 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8115 semantic_segmentation_loss_cls: 0.0143 2023/10/20 18:52:11 - mmengine - INFO - Saving checkpoint at 186500 iterations 2023/10/20 18:57:46 - mmengine - INFO - Iter(train) [186600/480000] base_lr: 1.3490e-04 lr: 3.6456e-05 eta: 8 days, 17:46:41 time: 2.6069 data_time: 0.1515 memory: 26569 grad_norm: 0.8382 loss: 1.1786 grounding_loss_reg: 3.5231 detection_loss_cls: 0.0547 detection_loss_reg: 0.4576 caption_loss_cls: 2.5000 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8113 semantic_segmentation_loss_cls: 0.0143 2023/10/20 19:01:51 - mmengine - INFO - Iter(train) [186700/480000] base_lr: 1.3484e-04 lr: 3.6440e-05 eta: 8 days, 17:38:31 time: 2.6121 data_time: 0.1515 memory: 26569 grad_norm: 0.8400 loss: 1.1866 grounding_loss_reg: 3.5215 detection_loss_cls: 0.0547 detection_loss_reg: 0.4562 caption_loss_cls: 2.4983 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3071 instance_segmentation_loss_poly: 0.8133 semantic_segmentation_loss_cls: 0.0142 2023/10/20 19:05:48 - mmengine - INFO - Iter(train) [186800/480000] base_lr: 1.3478e-04 lr: 3.6424e-05 eta: 8 days, 17:27:32 time: 2.6130 data_time: 0.1514 memory: 25728 grad_norm: 0.8380 loss: 1.1773 grounding_loss_reg: 3.5204 detection_loss_cls: 0.0549 detection_loss_reg: 0.4565 caption_loss_cls: 2.4962 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8135 semantic_segmentation_loss_cls: 0.0143 2023/10/20 19:10:03 - mmengine - INFO - Iter(train) [186900/480000] base_lr: 1.3472e-04 lr: 3.6408e-05 eta: 8 days, 17:22:16 time: 2.6138 data_time: 0.1513 memory: 26569 grad_norm: 0.8378 loss: 1.1735 grounding_loss_reg: 3.5206 detection_loss_cls: 0.0549 detection_loss_reg: 0.4567 caption_loss_cls: 2.4967 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8122 semantic_segmentation_loss_cls: 0.0142 2023/10/20 19:14:06 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 19:14:06 - mmengine - INFO - Iter(train) [187000/480000] base_lr: 1.3466e-04 lr: 3.6393e-05 eta: 8 days, 17:13:35 time: 2.6165 data_time: 0.1514 memory: 26569 grad_norm: 0.8414 loss: 1.1848 grounding_loss_reg: 3.5206 detection_loss_cls: 0.0550 detection_loss_reg: 0.4571 caption_loss_cls: 2.4976 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8116 semantic_segmentation_loss_cls: 0.0143 2023/10/20 19:14:06 - mmengine - INFO - Saving checkpoint at 187000 iterations 2023/10/20 19:19:21 - mmengine - INFO - Iter(train) [187100/480000] base_lr: 1.3460e-04 lr: 3.6377e-05 eta: 8 days, 17:27:51 time: 2.6160 data_time: 0.1507 memory: 25728 grad_norm: 0.8425 loss: 1.1882 grounding_loss_reg: 3.5196 detection_loss_cls: 0.0548 detection_loss_reg: 0.4568 caption_loss_cls: 2.4941 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8131 semantic_segmentation_loss_cls: 0.0143 2023/10/20 19:23:28 - mmengine - INFO - Iter(train) [187200/480000] base_lr: 1.3454e-04 lr: 3.6361e-05 eta: 8 days, 17:20:14 time: 2.6187 data_time: 0.1506 memory: 25728 grad_norm: 0.8386 loss: 1.1907 grounding_loss_reg: 3.5192 detection_loss_cls: 0.0548 detection_loss_reg: 0.4566 caption_loss_cls: 2.4963 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8142 semantic_segmentation_loss_cls: 0.0142 2023/10/20 19:27:20 - mmengine - INFO - Iter(train) [187300/480000] base_lr: 1.3447e-04 lr: 3.6345e-05 eta: 8 days, 17:07:54 time: 2.6167 data_time: 0.1505 memory: 26569 grad_norm: 0.8418 loss: 1.1905 grounding_loss_reg: 3.5182 detection_loss_cls: 0.0548 detection_loss_reg: 0.4560 caption_loss_cls: 2.4927 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.3071 instance_segmentation_loss_poly: 0.8140 semantic_segmentation_loss_cls: 0.0142 2023/10/20 19:31:39 - mmengine - INFO - Iter(train) [187400/480000] base_lr: 1.3441e-04 lr: 3.6329e-05 eta: 8 days, 17:04:16 time: 2.6238 data_time: 0.1506 memory: 25728 grad_norm: 0.8404 loss: 1.1925 grounding_loss_reg: 3.5195 detection_loss_cls: 0.0547 detection_loss_reg: 0.4555 caption_loss_cls: 2.4929 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8112 semantic_segmentation_loss_cls: 0.0142 2023/10/20 19:35:46 - mmengine - INFO - Iter(train) [187500/480000] base_lr: 1.3435e-04 lr: 3.6314e-05 eta: 8 days, 16:56:39 time: 2.6222 data_time: 0.1505 memory: 26569 grad_norm: 0.8449 loss: 1.1959 grounding_loss_reg: 3.5181 detection_loss_cls: 0.0545 detection_loss_reg: 0.4549 caption_loss_cls: 2.4913 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3060 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0142 2023/10/20 19:35:46 - mmengine - INFO - Saving checkpoint at 187500 iterations 2023/10/20 19:40:58 - mmengine - INFO - Iter(train) [187600/480000] base_lr: 1.3429e-04 lr: 3.6298e-05 eta: 8 days, 17:09:22 time: 2.6237 data_time: 0.1497 memory: 26569 grad_norm: 0.8406 loss: 1.1955 grounding_loss_reg: 3.5176 detection_loss_cls: 0.0546 detection_loss_reg: 0.4559 caption_loss_cls: 2.4937 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8106 semantic_segmentation_loss_cls: 0.0141 2023/10/20 19:44:53 - mmengine - INFO - Iter(train) [187700/480000] base_lr: 1.3423e-04 lr: 3.6282e-05 eta: 8 days, 16:58:09 time: 2.6146 data_time: 0.1497 memory: 25728 grad_norm: 0.8425 loss: 1.1962 grounding_loss_reg: 3.5177 detection_loss_cls: 0.0545 detection_loss_reg: 0.4562 caption_loss_cls: 2.4944 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8111 semantic_segmentation_loss_cls: 0.0140 2023/10/20 19:49:02 - mmengine - INFO - Iter(train) [187800/480000] base_lr: 1.3417e-04 lr: 3.6266e-05 eta: 8 days, 16:51:24 time: 2.6091 data_time: 0.1497 memory: 25728 grad_norm: 0.8414 loss: 1.1998 grounding_loss_reg: 3.5179 detection_loss_cls: 0.0545 detection_loss_reg: 0.4548 caption_loss_cls: 2.4919 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8128 semantic_segmentation_loss_cls: 0.0140 2023/10/20 19:52:52 - mmengine - INFO - Iter(train) [187900/480000] base_lr: 1.3411e-04 lr: 3.6250e-05 eta: 8 days, 16:38:44 time: 2.6067 data_time: 0.1496 memory: 26569 grad_norm: 0.8427 loss: 1.2021 grounding_loss_reg: 3.5167 detection_loss_cls: 0.0546 detection_loss_reg: 0.4554 caption_loss_cls: 2.4936 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.8129 semantic_segmentation_loss_cls: 0.0140 2023/10/20 19:57:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 19:57:11 - mmengine - INFO - Iter(train) [188000/480000] base_lr: 1.3405e-04 lr: 3.6235e-05 eta: 8 days, 16:34:55 time: 2.6167 data_time: 0.1496 memory: 26569 grad_norm: 0.8317 loss: 1.1919 grounding_loss_reg: 3.5162 detection_loss_cls: 0.0546 detection_loss_reg: 0.4557 caption_loss_cls: 2.4944 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8145 semantic_segmentation_loss_cls: 0.0140 2023/10/20 19:57:11 - mmengine - INFO - Saving checkpoint at 188000 iterations 2023/10/20 20:02:13 - mmengine - INFO - Iter(train) [188100/480000] base_lr: 1.3399e-04 lr: 3.6219e-05 eta: 8 days, 16:44:11 time: 2.6151 data_time: 0.1493 memory: 25728 grad_norm: 0.8342 loss: 1.1987 grounding_loss_reg: 3.5149 detection_loss_cls: 0.0543 detection_loss_reg: 0.4548 caption_loss_cls: 2.4918 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8151 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:06:04 - mmengine - INFO - Iter(train) [188200/480000] base_lr: 1.3393e-04 lr: 3.6203e-05 eta: 8 days, 16:31:59 time: 2.6129 data_time: 0.1492 memory: 25728 grad_norm: 0.8345 loss: 1.1940 grounding_loss_reg: 3.5143 detection_loss_cls: 0.0545 detection_loss_reg: 0.4554 caption_loss_cls: 2.4902 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8150 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:09:51 - mmengine - INFO - Iter(train) [188300/480000] base_lr: 1.3386e-04 lr: 3.6187e-05 eta: 8 days, 16:18:33 time: 2.6112 data_time: 0.1492 memory: 25728 grad_norm: 0.8362 loss: 1.1944 grounding_loss_reg: 3.5140 detection_loss_cls: 0.0546 detection_loss_reg: 0.4571 caption_loss_cls: 2.4893 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 0.8160 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:13:44 - mmengine - INFO - Iter(train) [188400/480000] base_lr: 1.3380e-04 lr: 3.6171e-05 eta: 8 days, 16:07:01 time: 2.6064 data_time: 0.1492 memory: 25728 grad_norm: 0.8376 loss: 1.1964 grounding_loss_reg: 3.5146 detection_loss_cls: 0.0547 detection_loss_reg: 0.4577 caption_loss_cls: 2.4920 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8146 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:18:07 - mmengine - INFO - Iter(train) [188500/480000] base_lr: 1.3374e-04 lr: 3.6155e-05 eta: 8 days, 16:04:40 time: 2.6076 data_time: 0.1491 memory: 25728 grad_norm: 0.8399 loss: 1.1942 grounding_loss_reg: 3.5133 detection_loss_cls: 0.0548 detection_loss_reg: 0.4584 caption_loss_cls: 2.4935 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8128 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:18:07 - mmengine - INFO - Saving checkpoint at 188500 iterations 2023/10/20 20:23:21 - mmengine - INFO - Iter(train) [188600/480000] base_lr: 1.3368e-04 lr: 3.6139e-05 eta: 8 days, 16:16:57 time: 2.6080 data_time: 0.1486 memory: 26569 grad_norm: 0.8335 loss: 1.1886 grounding_loss_reg: 3.5132 detection_loss_cls: 0.0547 detection_loss_reg: 0.4584 caption_loss_cls: 2.4985 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8119 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:26:53 - mmengine - INFO - Iter(train) [188700/480000] base_lr: 1.3362e-04 lr: 3.6124e-05 eta: 8 days, 15:59:31 time: 2.6011 data_time: 0.1485 memory: 26569 grad_norm: 0.8335 loss: 1.1880 grounding_loss_reg: 3.5128 detection_loss_cls: 0.0545 detection_loss_reg: 0.4563 caption_loss_cls: 2.5037 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:30:50 - mmengine - INFO - Iter(train) [188800/480000] base_lr: 1.3356e-04 lr: 3.6108e-05 eta: 8 days, 15:49:29 time: 2.5886 data_time: 0.1484 memory: 25728 grad_norm: 0.8384 loss: 1.1896 grounding_loss_reg: 3.5127 detection_loss_cls: 0.0546 detection_loss_reg: 0.4567 caption_loss_cls: 2.5010 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8124 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:35:03 - mmengine - INFO - Iter(train) [188900/480000] base_lr: 1.3350e-04 lr: 3.6092e-05 eta: 8 days, 15:43:57 time: 2.5867 data_time: 0.1485 memory: 26569 grad_norm: 0.8410 loss: 1.1873 grounding_loss_reg: 3.5113 detection_loss_cls: 0.0546 detection_loss_reg: 0.4568 caption_loss_cls: 2.4973 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8128 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:39:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 20:39:05 - mmengine - INFO - Iter(train) [189000/480000] base_lr: 1.3344e-04 lr: 3.6076e-05 eta: 8 days, 15:35:28 time: 2.5871 data_time: 0.1485 memory: 25728 grad_norm: 0.8435 loss: 1.1939 grounding_loss_reg: 3.5101 detection_loss_cls: 0.0545 detection_loss_reg: 0.4565 caption_loss_cls: 2.4950 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8129 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:39:05 - mmengine - INFO - Saving checkpoint at 189000 iterations 2023/10/20 20:44:41 - mmengine - INFO - Iter(train) [189100/480000] base_lr: 1.3337e-04 lr: 3.6060e-05 eta: 8 days, 15:53:41 time: 2.5914 data_time: 0.1485 memory: 25728 grad_norm: 0.8483 loss: 1.1934 grounding_loss_reg: 3.5090 detection_loss_cls: 0.0545 detection_loss_reg: 0.4569 caption_loss_cls: 2.4924 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:48:38 - mmengine - INFO - Iter(train) [189200/480000] base_lr: 1.3331e-04 lr: 3.6044e-05 eta: 8 days, 15:43:37 time: 2.5893 data_time: 0.1485 memory: 26569 grad_norm: 0.8480 loss: 1.2000 grounding_loss_reg: 3.5095 detection_loss_cls: 0.0546 detection_loss_reg: 0.4575 caption_loss_cls: 2.4966 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:52:47 - mmengine - INFO - Iter(train) [189300/480000] base_lr: 1.3325e-04 lr: 3.6028e-05 eta: 8 days, 15:36:56 time: 2.5926 data_time: 0.1485 memory: 26569 grad_norm: 0.8496 loss: 1.2004 grounding_loss_reg: 3.5091 detection_loss_cls: 0.0546 detection_loss_reg: 0.4578 caption_loss_cls: 2.4976 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8112 semantic_segmentation_loss_cls: 0.0140 2023/10/20 20:56:40 - mmengine - INFO - Iter(train) [189400/480000] base_lr: 1.3319e-04 lr: 3.6012e-05 eta: 8 days, 15:26:04 time: 2.5865 data_time: 0.1484 memory: 26569 grad_norm: 0.8486 loss: 1.1970 grounding_loss_reg: 3.5088 detection_loss_cls: 0.0546 detection_loss_reg: 0.4573 caption_loss_cls: 2.4969 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8122 semantic_segmentation_loss_cls: 0.0139 2023/10/20 21:00:47 - mmengine - INFO - Iter(train) [189500/480000] base_lr: 1.3313e-04 lr: 3.5997e-05 eta: 8 days, 15:19:00 time: 2.5802 data_time: 0.1470 memory: 26569 grad_norm: 0.8480 loss: 1.1921 grounding_loss_reg: 3.5083 detection_loss_cls: 0.0546 detection_loss_reg: 0.4576 caption_loss_cls: 2.4973 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8121 semantic_segmentation_loss_cls: 0.0139 2023/10/20 21:00:47 - mmengine - INFO - Saving checkpoint at 189500 iterations 2023/10/20 21:06:07 - mmengine - INFO - Iter(train) [189600/480000] base_lr: 1.3307e-04 lr: 3.5981e-05 eta: 8 days, 15:32:07 time: 2.5846 data_time: 0.1470 memory: 25728 grad_norm: 0.8471 loss: 1.1975 grounding_loss_reg: 3.5070 detection_loss_cls: 0.0548 detection_loss_reg: 0.4592 caption_loss_cls: 2.4989 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3071 instance_segmentation_loss_poly: 0.8129 semantic_segmentation_loss_cls: 0.0139 2023/10/20 21:10:28 - mmengine - INFO - Iter(train) [189700/480000] base_lr: 1.3301e-04 lr: 3.5965e-05 eta: 8 days, 15:28:52 time: 2.5910 data_time: 0.1470 memory: 25728 grad_norm: 0.8436 loss: 1.1936 grounding_loss_reg: 3.5072 detection_loss_cls: 0.0544 detection_loss_reg: 0.4593 caption_loss_cls: 2.4993 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8116 semantic_segmentation_loss_cls: 0.0135 2023/10/20 21:14:34 - mmengine - INFO - Iter(train) [189800/480000] base_lr: 1.3295e-04 lr: 3.5949e-05 eta: 8 days, 15:21:24 time: 2.5871 data_time: 0.1470 memory: 25728 grad_norm: 0.8469 loss: 1.1930 grounding_loss_reg: 3.5056 detection_loss_cls: 0.0544 detection_loss_reg: 0.4596 caption_loss_cls: 2.4984 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8124 semantic_segmentation_loss_cls: 0.0135 2023/10/20 21:18:21 - mmengine - INFO - Iter(train) [189900/480000] base_lr: 1.3288e-04 lr: 3.5933e-05 eta: 8 days, 15:08:49 time: 2.5763 data_time: 0.1470 memory: 25728 grad_norm: 0.8498 loss: 1.1907 grounding_loss_reg: 3.5040 detection_loss_cls: 0.0547 detection_loss_reg: 0.4604 caption_loss_cls: 2.4950 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0135 2023/10/20 21:22:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 21:22:38 - mmengine - INFO - Iter(train) [190000/480000] base_lr: 1.3282e-04 lr: 3.5917e-05 eta: 8 days, 15:04:36 time: 2.5816 data_time: 0.1470 memory: 25728 grad_norm: 0.8467 loss: 1.1902 grounding_loss_reg: 3.5045 detection_loss_cls: 0.0544 detection_loss_reg: 0.4595 caption_loss_cls: 2.4960 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8115 semantic_segmentation_loss_cls: 0.0134 2023/10/20 21:22:38 - mmengine - INFO - Saving checkpoint at 190000 iterations 2023/10/20 21:27:45 - mmengine - INFO - Iter(train) [190100/480000] base_lr: 1.3276e-04 lr: 3.5901e-05 eta: 8 days, 15:13:44 time: 2.5796 data_time: 0.1463 memory: 26569 grad_norm: 0.8451 loss: 1.1887 grounding_loss_reg: 3.5044 detection_loss_cls: 0.0545 detection_loss_reg: 0.4601 caption_loss_cls: 2.4992 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8124 semantic_segmentation_loss_cls: 0.0134 2023/10/20 21:31:41 - mmengine - INFO - Iter(train) [190200/480000] base_lr: 1.3270e-04 lr: 3.5885e-05 eta: 8 days, 15:03:34 time: 2.5766 data_time: 0.1464 memory: 25728 grad_norm: 0.8469 loss: 1.1922 grounding_loss_reg: 3.5027 detection_loss_cls: 0.0544 detection_loss_reg: 0.4603 caption_loss_cls: 2.5002 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8134 semantic_segmentation_loss_cls: 0.0134 2023/10/20 21:36:03 - mmengine - INFO - Iter(train) [190300/480000] base_lr: 1.3264e-04 lr: 3.5869e-05 eta: 8 days, 15:00:34 time: 2.5813 data_time: 0.1464 memory: 25728 grad_norm: 0.8461 loss: 1.1914 grounding_loss_reg: 3.5029 detection_loss_cls: 0.0542 detection_loss_reg: 0.4592 caption_loss_cls: 2.4958 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8119 semantic_segmentation_loss_cls: 0.0134 2023/10/20 21:40:43 - mmengine - INFO - Iter(train) [190400/480000] base_lr: 1.3258e-04 lr: 3.5853e-05 eta: 8 days, 15:02:17 time: 2.5903 data_time: 0.1465 memory: 25728 grad_norm: 0.8415 loss: 1.1912 grounding_loss_reg: 3.5015 detection_loss_cls: 0.0544 detection_loss_reg: 0.4585 caption_loss_cls: 2.4937 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8143 semantic_segmentation_loss_cls: 0.0134 2023/10/20 21:44:51 - mmengine - INFO - Iter(train) [190500/480000] base_lr: 1.3252e-04 lr: 3.5838e-05 eta: 8 days, 14:55:43 time: 2.5897 data_time: 0.1465 memory: 26569 grad_norm: 0.8468 loss: 1.1973 grounding_loss_reg: 3.5017 detection_loss_cls: 0.0544 detection_loss_reg: 0.4583 caption_loss_cls: 2.4958 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.8136 semantic_segmentation_loss_cls: 0.0134 2023/10/20 21:44:51 - mmengine - INFO - Saving checkpoint at 190500 iterations 2023/10/20 21:50:05 - mmengine - INFO - Iter(train) [190600/480000] base_lr: 1.3245e-04 lr: 3.5822e-05 eta: 8 days, 15:05:53 time: 2.5844 data_time: 0.1464 memory: 26569 grad_norm: 0.8452 loss: 1.2010 grounding_loss_reg: 3.5017 detection_loss_cls: 0.0543 detection_loss_reg: 0.4581 caption_loss_cls: 2.4991 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8132 semantic_segmentation_loss_cls: 0.0135 2023/10/20 21:53:59 - mmengine - INFO - Iter(train) [190700/480000] base_lr: 1.3239e-04 lr: 3.5806e-05 eta: 8 days, 14:55:34 time: 2.5815 data_time: 0.1464 memory: 26569 grad_norm: 0.8451 loss: 1.2011 grounding_loss_reg: 3.5013 detection_loss_cls: 0.0543 detection_loss_reg: 0.4583 caption_loss_cls: 2.5024 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8141 semantic_segmentation_loss_cls: 0.0135 2023/10/20 21:58:22 - mmengine - INFO - Iter(train) [190800/480000] base_lr: 1.3233e-04 lr: 3.5790e-05 eta: 8 days, 14:52:37 time: 2.5879 data_time: 0.1464 memory: 26569 grad_norm: 0.8456 loss: 1.2041 grounding_loss_reg: 3.5012 detection_loss_cls: 0.0543 detection_loss_reg: 0.4583 caption_loss_cls: 2.5041 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8141 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:02:36 - mmengine - INFO - Iter(train) [190900/480000] base_lr: 1.3227e-04 lr: 3.5774e-05 eta: 8 days, 14:47:24 time: 2.5878 data_time: 0.1465 memory: 26569 grad_norm: 0.8486 loss: 1.2102 grounding_loss_reg: 3.5012 detection_loss_cls: 0.0545 detection_loss_reg: 0.4586 caption_loss_cls: 2.5052 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8142 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:06:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 22:06:30 - mmengine - INFO - Iter(train) [191000/480000] base_lr: 1.3221e-04 lr: 3.5758e-05 eta: 8 days, 14:37:08 time: 2.5854 data_time: 0.1464 memory: 25728 grad_norm: 0.8461 loss: 1.2050 grounding_loss_reg: 3.4997 detection_loss_cls: 0.0547 detection_loss_reg: 0.4593 caption_loss_cls: 2.5026 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8144 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:06:30 - mmengine - INFO - Saving checkpoint at 191000 iterations 2023/10/20 22:11:37 - mmengine - INFO - Iter(train) [191100/480000] base_lr: 1.3215e-04 lr: 3.5742e-05 eta: 8 days, 14:45:24 time: 2.5836 data_time: 0.1465 memory: 26569 grad_norm: 0.8413 loss: 1.1991 grounding_loss_reg: 3.4977 detection_loss_cls: 0.0546 detection_loss_reg: 0.4597 caption_loss_cls: 2.5011 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8131 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:15:52 - mmengine - INFO - Iter(train) [191200/480000] base_lr: 1.3209e-04 lr: 3.5726e-05 eta: 8 days, 14:40:24 time: 2.5855 data_time: 0.1465 memory: 26569 grad_norm: 0.8425 loss: 1.2014 grounding_loss_reg: 3.4974 detection_loss_cls: 0.0545 detection_loss_reg: 0.4594 caption_loss_cls: 2.5066 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:20:09 - mmengine - INFO - Iter(train) [191300/480000] base_lr: 1.3202e-04 lr: 3.5710e-05 eta: 8 days, 14:35:57 time: 2.5917 data_time: 0.1465 memory: 26569 grad_norm: 0.8419 loss: 1.2041 grounding_loss_reg: 3.4961 detection_loss_cls: 0.0547 detection_loss_reg: 0.4596 caption_loss_cls: 2.5038 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8100 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:24:32 - mmengine - INFO - Iter(train) [191400/480000] base_lr: 1.3196e-04 lr: 3.5694e-05 eta: 8 days, 14:32:56 time: 2.5926 data_time: 0.1465 memory: 25728 grad_norm: 0.8426 loss: 1.2008 grounding_loss_reg: 3.4955 detection_loss_cls: 0.0546 detection_loss_reg: 0.4593 caption_loss_cls: 2.5060 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3044 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:28:57 - mmengine - INFO - Iter(train) [191500/480000] base_lr: 1.3190e-04 lr: 3.5678e-05 eta: 8 days, 14:30:31 time: 2.5973 data_time: 0.1466 memory: 26569 grad_norm: 0.8419 loss: 1.2011 grounding_loss_reg: 3.4955 detection_loss_cls: 0.0546 detection_loss_reg: 0.4587 caption_loss_cls: 2.5066 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3046 instance_segmentation_loss_poly: 0.8098 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:28:57 - mmengine - INFO - Saving checkpoint at 191500 iterations 2023/10/20 22:34:03 - mmengine - INFO - Iter(train) [191600/480000] base_lr: 1.3184e-04 lr: 3.5662e-05 eta: 8 days, 14:38:08 time: 2.5960 data_time: 0.1472 memory: 25728 grad_norm: 0.8386 loss: 1.1958 grounding_loss_reg: 3.4948 detection_loss_cls: 0.0545 detection_loss_reg: 0.4585 caption_loss_cls: 2.5029 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3043 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:38:11 - mmengine - INFO - Iter(train) [191700/480000] base_lr: 1.3178e-04 lr: 3.5646e-05 eta: 8 days, 14:31:23 time: 2.5991 data_time: 0.1472 memory: 26569 grad_norm: 0.8369 loss: 1.1958 grounding_loss_reg: 3.4958 detection_loss_cls: 0.0544 detection_loss_reg: 0.4582 caption_loss_cls: 2.5027 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:42:08 - mmengine - INFO - Iter(train) [191800/480000] base_lr: 1.3172e-04 lr: 3.5630e-05 eta: 8 days, 14:22:01 time: 2.5960 data_time: 0.1471 memory: 25728 grad_norm: 0.8382 loss: 1.1979 grounding_loss_reg: 3.4965 detection_loss_cls: 0.0544 detection_loss_reg: 0.4582 caption_loss_cls: 2.5008 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3047 instance_segmentation_loss_poly: 0.8101 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:46:18 - mmengine - INFO - Iter(train) [191900/480000] base_lr: 1.3165e-04 lr: 3.5614e-05 eta: 8 days, 14:15:55 time: 2.6011 data_time: 0.1471 memory: 25728 grad_norm: 0.8363 loss: 1.1934 grounding_loss_reg: 3.4949 detection_loss_cls: 0.0544 detection_loss_reg: 0.4573 caption_loss_cls: 2.4971 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3046 instance_segmentation_loss_poly: 0.8098 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:50:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 22:50:24 - mmengine - INFO - Iter(train) [192000/480000] base_lr: 1.3159e-04 lr: 3.5598e-05 eta: 8 days, 14:08:44 time: 2.5979 data_time: 0.1471 memory: 25728 grad_norm: 0.8403 loss: 1.1914 grounding_loss_reg: 3.4934 detection_loss_cls: 0.0546 detection_loss_reg: 0.4581 caption_loss_cls: 2.4969 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8113 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:50:24 - mmengine - INFO - Saving checkpoint at 192000 iterations 2023/10/20 22:55:09 - mmengine - INFO - Iter(train) [192100/480000] base_lr: 1.3153e-04 lr: 3.5582e-05 eta: 8 days, 14:10:56 time: 2.5936 data_time: 0.1466 memory: 26569 grad_norm: 0.8433 loss: 1.1916 grounding_loss_reg: 3.4947 detection_loss_cls: 0.0547 detection_loss_reg: 0.4591 caption_loss_cls: 2.4967 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8108 semantic_segmentation_loss_cls: 0.0134 2023/10/20 22:59:21 - mmengine - INFO - Iter(train) [192200/480000] base_lr: 1.3147e-04 lr: 3.5566e-05 eta: 8 days, 14:05:18 time: 2.5989 data_time: 0.1466 memory: 25728 grad_norm: 0.8355 loss: 1.1833 grounding_loss_reg: 3.4949 detection_loss_cls: 0.0546 detection_loss_reg: 0.4601 caption_loss_cls: 2.4971 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8109 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:03:24 - mmengine - INFO - Iter(train) [192300/480000] base_lr: 1.3141e-04 lr: 3.5550e-05 eta: 8 days, 13:57:20 time: 2.6028 data_time: 0.1466 memory: 25728 grad_norm: 0.8314 loss: 1.1752 grounding_loss_reg: 3.4943 detection_loss_cls: 0.0547 detection_loss_reg: 0.4609 caption_loss_cls: 2.4965 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3051 instance_segmentation_loss_poly: 0.8109 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:07:18 - mmengine - INFO - Iter(train) [192400/480000] base_lr: 1.3135e-04 lr: 3.5534e-05 eta: 8 days, 13:47:39 time: 2.6033 data_time: 0.1466 memory: 25728 grad_norm: 0.8299 loss: 1.1717 grounding_loss_reg: 3.4953 detection_loss_cls: 0.0548 detection_loss_reg: 0.4613 caption_loss_cls: 2.4931 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3047 instance_segmentation_loss_poly: 0.8103 semantic_segmentation_loss_cls: 0.0140 2023/10/20 23:11:35 - mmengine - INFO - Iter(train) [192500/480000] base_lr: 1.3129e-04 lr: 3.5518e-05 eta: 8 days, 13:43:10 time: 2.6016 data_time: 0.1466 memory: 26569 grad_norm: 0.8304 loss: 1.1651 grounding_loss_reg: 3.4933 detection_loss_cls: 0.0547 detection_loss_reg: 0.4599 caption_loss_cls: 2.4921 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3049 instance_segmentation_loss_poly: 0.8103 semantic_segmentation_loss_cls: 0.0140 2023/10/20 23:11:35 - mmengine - INFO - Saving checkpoint at 192500 iterations 2023/10/20 23:17:06 - mmengine - INFO - Iter(train) [192600/480000] base_lr: 1.3122e-04 lr: 3.5502e-05 eta: 8 days, 13:55:47 time: 2.6058 data_time: 0.1467 memory: 26569 grad_norm: 0.8312 loss: 1.1608 grounding_loss_reg: 3.4927 detection_loss_cls: 0.0547 detection_loss_reg: 0.4605 caption_loss_cls: 2.4904 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8107 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:21:42 - mmengine - INFO - Iter(train) [192700/480000] base_lr: 1.3116e-04 lr: 3.5486e-05 eta: 8 days, 13:55:47 time: 2.6219 data_time: 0.1471 memory: 26569 grad_norm: 0.8269 loss: 1.1581 grounding_loss_reg: 3.4925 detection_loss_cls: 0.0547 detection_loss_reg: 0.4595 caption_loss_cls: 2.4891 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8113 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:26:07 - mmengine - INFO - Iter(train) [192800/480000] base_lr: 1.3110e-04 lr: 3.5470e-05 eta: 8 days, 13:53:05 time: 2.6289 data_time: 0.1472 memory: 26569 grad_norm: 0.8247 loss: 1.1565 grounding_loss_reg: 3.4916 detection_loss_cls: 0.0549 detection_loss_reg: 0.4605 caption_loss_cls: 2.4895 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8114 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:30:14 - mmengine - INFO - Iter(train) [192900/480000] base_lr: 1.3104e-04 lr: 3.5454e-05 eta: 8 days, 13:46:17 time: 2.6275 data_time: 0.1471 memory: 26569 grad_norm: 0.8268 loss: 1.1561 grounding_loss_reg: 3.4886 detection_loss_cls: 0.0548 detection_loss_reg: 0.4601 caption_loss_cls: 2.4915 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8120 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:34:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/20 23:34:30 - mmengine - INFO - Iter(train) [193000/480000] base_lr: 1.3098e-04 lr: 3.5438e-05 eta: 8 days, 13:41:32 time: 2.6310 data_time: 0.1471 memory: 26569 grad_norm: 0.8311 loss: 1.1561 grounding_loss_reg: 3.4889 detection_loss_cls: 0.0548 detection_loss_reg: 0.4600 caption_loss_cls: 2.4922 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:34:30 - mmengine - INFO - Saving checkpoint at 193000 iterations 2023/10/20 23:39:19 - mmengine - INFO - Iter(train) [193100/480000] base_lr: 1.3091e-04 lr: 3.5422e-05 eta: 8 days, 13:44:01 time: 2.6189 data_time: 0.1463 memory: 26569 grad_norm: 0.8303 loss: 1.1677 grounding_loss_reg: 3.4879 detection_loss_cls: 0.0547 detection_loss_reg: 0.4598 caption_loss_cls: 2.4954 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8126 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:43:07 - mmengine - INFO - Iter(train) [193200/480000] base_lr: 1.3085e-04 lr: 3.5406e-05 eta: 8 days, 13:32:55 time: 2.6168 data_time: 0.1463 memory: 25728 grad_norm: 0.8291 loss: 1.1661 grounding_loss_reg: 3.4872 detection_loss_cls: 0.0548 detection_loss_reg: 0.4609 caption_loss_cls: 2.5010 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3092 instance_segmentation_loss_poly: 0.8145 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:47:01 - mmengine - INFO - Iter(train) [193300/480000] base_lr: 1.3079e-04 lr: 3.5390e-05 eta: 8 days, 13:23:15 time: 2.6131 data_time: 0.1463 memory: 25728 grad_norm: 0.8271 loss: 1.1659 grounding_loss_reg: 3.4855 detection_loss_cls: 0.0547 detection_loss_reg: 0.4603 caption_loss_cls: 2.5043 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 0.8136 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:51:09 - mmengine - INFO - Iter(train) [193400/480000] base_lr: 1.3073e-04 lr: 3.5374e-05 eta: 8 days, 13:16:50 time: 2.6169 data_time: 0.1464 memory: 25728 grad_norm: 0.8302 loss: 1.1676 grounding_loss_reg: 3.4857 detection_loss_cls: 0.0547 detection_loss_reg: 0.4605 caption_loss_cls: 2.5036 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3092 instance_segmentation_loss_poly: 0.8143 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:55:17 - mmengine - INFO - Iter(train) [193500/480000] base_lr: 1.3067e-04 lr: 3.5358e-05 eta: 8 days, 13:10:17 time: 2.6171 data_time: 0.1464 memory: 25728 grad_norm: 0.8282 loss: 1.1677 grounding_loss_reg: 3.4856 detection_loss_cls: 0.0546 detection_loss_reg: 0.4599 caption_loss_cls: 2.5056 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8142 semantic_segmentation_loss_cls: 0.0139 2023/10/20 23:55:17 - mmengine - INFO - Saving checkpoint at 193500 iterations 2023/10/21 00:00:28 - mmengine - INFO - Iter(train) [193600/480000] base_lr: 1.3061e-04 lr: 3.5342e-05 eta: 8 days, 13:17:46 time: 2.6148 data_time: 0.1457 memory: 26569 grad_norm: 0.8289 loss: 1.1609 grounding_loss_reg: 3.4866 detection_loss_cls: 0.0545 detection_loss_reg: 0.4601 caption_loss_cls: 2.5026 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3100 instance_segmentation_loss_poly: 0.8140 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:04:43 - mmengine - INFO - Iter(train) [193700/480000] base_lr: 1.3054e-04 lr: 3.5326e-05 eta: 8 days, 13:12:45 time: 2.6132 data_time: 0.1458 memory: 26569 grad_norm: 0.8338 loss: 1.1644 grounding_loss_reg: 3.4851 detection_loss_cls: 0.0540 detection_loss_reg: 0.4577 caption_loss_cls: 2.4987 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 0.8141 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:08:54 - mmengine - INFO - Iter(train) [193800/480000] base_lr: 1.3048e-04 lr: 3.5310e-05 eta: 8 days, 13:06:57 time: 2.6146 data_time: 0.1458 memory: 26569 grad_norm: 0.8342 loss: 1.1637 grounding_loss_reg: 3.4834 detection_loss_cls: 0.0542 detection_loss_reg: 0.4589 caption_loss_cls: 2.4969 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3096 instance_segmentation_loss_poly: 0.8125 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:13:03 - mmengine - INFO - Iter(train) [193900/480000] base_lr: 1.3042e-04 lr: 3.5294e-05 eta: 8 days, 13:00:38 time: 2.6202 data_time: 0.1458 memory: 26569 grad_norm: 0.8315 loss: 1.1600 grounding_loss_reg: 3.4827 detection_loss_cls: 0.0541 detection_loss_reg: 0.4576 caption_loss_cls: 2.4987 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 0.8124 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:17:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 00:17:10 - mmengine - INFO - Iter(train) [194000/480000] base_lr: 1.3036e-04 lr: 3.5278e-05 eta: 8 days, 12:53:56 time: 2.6176 data_time: 0.1458 memory: 26569 grad_norm: 0.8339 loss: 1.1599 grounding_loss_reg: 3.4821 detection_loss_cls: 0.0539 detection_loss_reg: 0.4567 caption_loss_cls: 2.4945 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8123 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:17:10 - mmengine - INFO - Saving checkpoint at 194000 iterations 2023/10/21 00:22:21 - mmengine - INFO - Iter(train) [194100/480000] base_lr: 1.3030e-04 lr: 3.5262e-05 eta: 8 days, 13:01:12 time: 2.6186 data_time: 0.1464 memory: 26569 grad_norm: 0.8296 loss: 1.1543 grounding_loss_reg: 3.4812 detection_loss_cls: 0.0531 detection_loss_reg: 0.4546 caption_loss_cls: 2.4928 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8121 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:26:25 - mmengine - INFO - Iter(train) [194200/480000] base_lr: 1.3023e-04 lr: 3.5246e-05 eta: 8 days, 12:53:43 time: 2.6207 data_time: 0.1464 memory: 25728 grad_norm: 0.8242 loss: 1.1456 grounding_loss_reg: 3.4811 detection_loss_cls: 0.0529 detection_loss_reg: 0.4537 caption_loss_cls: 2.4915 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3092 instance_segmentation_loss_poly: 0.8103 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:30:33 - mmengine - INFO - Iter(train) [194300/480000] base_lr: 1.3017e-04 lr: 3.5230e-05 eta: 8 days, 12:47:17 time: 2.6172 data_time: 0.1464 memory: 26569 grad_norm: 0.8234 loss: 1.1476 grounding_loss_reg: 3.4808 detection_loss_cls: 0.0529 detection_loss_reg: 0.4531 caption_loss_cls: 2.4932 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:34:43 - mmengine - INFO - Iter(train) [194400/480000] base_lr: 1.3011e-04 lr: 3.5214e-05 eta: 8 days, 12:41:14 time: 2.6096 data_time: 0.1463 memory: 25728 grad_norm: 0.8239 loss: 1.1518 grounding_loss_reg: 3.4790 detection_loss_cls: 0.0529 detection_loss_reg: 0.4537 caption_loss_cls: 2.4967 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8110 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:38:58 - mmengine - INFO - Iter(train) [194500/480000] base_lr: 1.3005e-04 lr: 3.5198e-05 eta: 8 days, 12:36:14 time: 2.6111 data_time: 0.1464 memory: 26569 grad_norm: 0.8232 loss: 1.1515 grounding_loss_reg: 3.4781 detection_loss_cls: 0.0531 detection_loss_reg: 0.4561 caption_loss_cls: 2.4971 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3116 instance_segmentation_loss_poly: 0.8139 semantic_segmentation_loss_cls: 0.0140 2023/10/21 00:38:58 - mmengine - INFO - Saving checkpoint at 194500 iterations 2023/10/21 00:44:09 - mmengine - INFO - Iter(train) [194600/480000] base_lr: 1.2999e-04 lr: 3.5182e-05 eta: 8 days, 12:43:09 time: 2.6107 data_time: 0.1465 memory: 26569 grad_norm: 0.8211 loss: 1.1438 grounding_loss_reg: 3.4777 detection_loss_cls: 0.0531 detection_loss_reg: 0.4557 caption_loss_cls: 2.4954 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3128 instance_segmentation_loss_poly: 0.8165 semantic_segmentation_loss_cls: 0.0139 2023/10/21 00:48:06 - mmengine - INFO - Iter(train) [194700/480000] base_lr: 1.2992e-04 lr: 3.5166e-05 eta: 8 days, 12:34:22 time: 2.6113 data_time: 0.1466 memory: 25728 grad_norm: 0.8182 loss: 1.1401 grounding_loss_reg: 3.4773 detection_loss_cls: 0.0530 detection_loss_reg: 0.4555 caption_loss_cls: 2.4984 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3128 instance_segmentation_loss_poly: 0.8156 semantic_segmentation_loss_cls: 0.0136 2023/10/21 00:52:35 - mmengine - INFO - Iter(train) [194800/480000] base_lr: 1.2986e-04 lr: 3.5150e-05 eta: 8 days, 12:32:16 time: 2.6128 data_time: 0.1466 memory: 25728 grad_norm: 0.8146 loss: 1.1358 grounding_loss_reg: 3.4752 detection_loss_cls: 0.0528 detection_loss_reg: 0.4543 caption_loss_cls: 2.4993 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3130 instance_segmentation_loss_poly: 0.8159 semantic_segmentation_loss_cls: 0.0136 2023/10/21 00:56:48 - mmengine - INFO - Iter(train) [194900/480000] base_lr: 1.2980e-04 lr: 3.5134e-05 eta: 8 days, 12:27:03 time: 2.6128 data_time: 0.1466 memory: 26569 grad_norm: 0.8138 loss: 1.1327 grounding_loss_reg: 3.4745 detection_loss_cls: 0.0528 detection_loss_reg: 0.4541 caption_loss_cls: 2.4961 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 0.8158 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:01:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 01:01:01 - mmengine - INFO - Iter(train) [195000/480000] base_lr: 1.2974e-04 lr: 3.5117e-05 eta: 8 days, 12:21:38 time: 2.6175 data_time: 0.1467 memory: 26569 grad_norm: 0.8121 loss: 1.1357 grounding_loss_reg: 3.4736 detection_loss_cls: 0.0529 detection_loss_reg: 0.4554 caption_loss_cls: 2.4949 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3145 instance_segmentation_loss_poly: 0.8188 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:01:01 - mmengine - INFO - Saving checkpoint at 195000 iterations 2023/10/21 01:06:09 - mmengine - INFO - Iter(train) [195100/480000] base_lr: 1.2968e-04 lr: 3.5101e-05 eta: 8 days, 12:27:31 time: 2.6176 data_time: 0.1462 memory: 26569 grad_norm: 0.8137 loss: 1.1417 grounding_loss_reg: 3.4747 detection_loss_cls: 0.0529 detection_loss_reg: 0.4555 caption_loss_cls: 2.4919 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8198 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:10:20 - mmengine - INFO - Iter(train) [195200/480000] base_lr: 1.2961e-04 lr: 3.5085e-05 eta: 8 days, 12:21:50 time: 2.6168 data_time: 0.1463 memory: 26569 grad_norm: 0.8167 loss: 1.1429 grounding_loss_reg: 3.4733 detection_loss_cls: 0.0531 detection_loss_reg: 0.4564 caption_loss_cls: 2.4940 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3152 instance_segmentation_loss_poly: 0.8212 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:14:07 - mmengine - INFO - Iter(train) [195300/480000] base_lr: 1.2955e-04 lr: 3.5069e-05 eta: 8 days, 12:10:56 time: 2.6091 data_time: 0.1463 memory: 25728 grad_norm: 0.8164 loss: 1.1457 grounding_loss_reg: 3.4731 detection_loss_cls: 0.0532 detection_loss_reg: 0.4569 caption_loss_cls: 2.4930 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8196 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:18:06 - mmengine - INFO - Iter(train) [195400/480000] base_lr: 1.2949e-04 lr: 3.5053e-05 eta: 8 days, 12:02:52 time: 2.6032 data_time: 0.1463 memory: 26569 grad_norm: 0.8152 loss: 1.1465 grounding_loss_reg: 3.4713 detection_loss_cls: 0.0532 detection_loss_reg: 0.4572 caption_loss_cls: 2.4920 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3150 instance_segmentation_loss_poly: 0.8218 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:22:13 - mmengine - INFO - Iter(train) [195500/480000] base_lr: 1.2943e-04 lr: 3.5037e-05 eta: 8 days, 11:56:23 time: 2.5988 data_time: 0.1461 memory: 26569 grad_norm: 0.8151 loss: 1.1441 grounding_loss_reg: 3.4697 detection_loss_cls: 0.0534 detection_loss_reg: 0.4584 caption_loss_cls: 2.4910 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:22:13 - mmengine - INFO - Saving checkpoint at 195500 iterations 2023/10/21 01:27:28 - mmengine - INFO - Iter(train) [195600/480000] base_lr: 1.2937e-04 lr: 3.5021e-05 eta: 8 days, 12:03:28 time: 2.6009 data_time: 0.1457 memory: 26569 grad_norm: 0.8210 loss: 1.1463 grounding_loss_reg: 3.4672 detection_loss_cls: 0.0533 detection_loss_reg: 0.4583 caption_loss_cls: 2.4880 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:32:16 - mmengine - INFO - Iter(train) [195700/480000] base_lr: 1.2930e-04 lr: 3.5005e-05 eta: 8 days, 12:04:57 time: 2.6107 data_time: 0.1458 memory: 26569 grad_norm: 0.8180 loss: 1.1392 grounding_loss_reg: 3.4652 detection_loss_cls: 0.0533 detection_loss_reg: 0.4574 caption_loss_cls: 2.4844 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8188 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:36:29 - mmengine - INFO - Iter(train) [195800/480000] base_lr: 1.2924e-04 lr: 3.4989e-05 eta: 8 days, 11:59:38 time: 2.6148 data_time: 0.1459 memory: 26569 grad_norm: 0.8169 loss: 1.1381 grounding_loss_reg: 3.4636 detection_loss_cls: 0.0533 detection_loss_reg: 0.4566 caption_loss_cls: 2.4853 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8192 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:40:38 - mmengine - INFO - Iter(train) [195900/480000] base_lr: 1.2918e-04 lr: 3.4973e-05 eta: 8 days, 11:53:27 time: 2.6145 data_time: 0.1459 memory: 25728 grad_norm: 0.8149 loss: 1.1374 grounding_loss_reg: 3.4631 detection_loss_cls: 0.0532 detection_loss_reg: 0.4561 caption_loss_cls: 2.4856 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 0.8179 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:44:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 01:44:42 - mmengine - INFO - Iter(train) [196000/480000] base_lr: 1.2912e-04 lr: 3.4957e-05 eta: 8 days, 11:46:16 time: 2.6140 data_time: 0.1458 memory: 25728 grad_norm: 0.8128 loss: 1.1373 grounding_loss_reg: 3.4621 detection_loss_cls: 0.0533 detection_loss_reg: 0.4571 caption_loss_cls: 2.4887 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3131 instance_segmentation_loss_poly: 0.8163 semantic_segmentation_loss_cls: 0.0136 2023/10/21 01:44:42 - mmengine - INFO - Saving checkpoint at 196000 iterations 2023/10/21 01:49:54 - mmengine - INFO - Iter(train) [196100/480000] base_lr: 1.2906e-04 lr: 3.4940e-05 eta: 8 days, 11:52:37 time: 2.6209 data_time: 0.1462 memory: 26569 grad_norm: 0.8081 loss: 1.1317 grounding_loss_reg: 3.4629 detection_loss_cls: 0.0535 detection_loss_reg: 0.4583 caption_loss_cls: 2.4862 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3129 instance_segmentation_loss_poly: 0.8157 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:54:12 - mmengine - INFO - Iter(train) [196200/480000] base_lr: 1.2899e-04 lr: 3.4924e-05 eta: 8 days, 11:48:05 time: 2.6222 data_time: 0.1462 memory: 25728 grad_norm: 0.8138 loss: 1.1440 grounding_loss_reg: 3.4622 detection_loss_cls: 0.0532 detection_loss_reg: 0.4569 caption_loss_cls: 2.4932 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 0.8170 semantic_segmentation_loss_cls: 0.0135 2023/10/21 01:58:23 - mmengine - INFO - Iter(train) [196300/480000] base_lr: 1.2893e-04 lr: 3.4908e-05 eta: 8 days, 11:42:20 time: 2.6244 data_time: 0.1463 memory: 25728 grad_norm: 0.8165 loss: 1.1500 grounding_loss_reg: 3.4618 detection_loss_cls: 0.0534 detection_loss_reg: 0.4579 caption_loss_cls: 2.4929 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:02:18 - mmengine - INFO - Iter(train) [196400/480000] base_lr: 1.2887e-04 lr: 3.4892e-05 eta: 8 days, 11:33:27 time: 2.6244 data_time: 0.1463 memory: 25728 grad_norm: 0.8176 loss: 1.1568 grounding_loss_reg: 3.4607 detection_loss_cls: 0.0532 detection_loss_reg: 0.4573 caption_loss_cls: 2.4967 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:06:39 - mmengine - INFO - Iter(train) [196500/480000] base_lr: 1.2881e-04 lr: 3.4876e-05 eta: 8 days, 11:29:37 time: 2.6255 data_time: 0.1463 memory: 26569 grad_norm: 0.8152 loss: 1.1627 grounding_loss_reg: 3.4602 detection_loss_cls: 0.0535 detection_loss_reg: 0.4586 caption_loss_cls: 2.4960 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:06:39 - mmengine - INFO - Saving checkpoint at 196500 iterations 2023/10/21 02:11:21 - mmengine - INFO - Iter(train) [196600/480000] base_lr: 1.2875e-04 lr: 3.4860e-05 eta: 8 days, 11:29:54 time: 2.6134 data_time: 0.1462 memory: 25728 grad_norm: 0.8167 loss: 1.1688 grounding_loss_reg: 3.4610 detection_loss_cls: 0.0535 detection_loss_reg: 0.4586 caption_loss_cls: 2.4963 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 0.8187 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:15:20 - mmengine - INFO - Iter(train) [196700/480000] base_lr: 1.2868e-04 lr: 3.4844e-05 eta: 8 days, 11:21:55 time: 2.6041 data_time: 0.1457 memory: 25728 grad_norm: 0.8154 loss: 1.1625 grounding_loss_reg: 3.4606 detection_loss_cls: 0.0534 detection_loss_reg: 0.4571 caption_loss_cls: 2.4943 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3135 instance_segmentation_loss_poly: 0.8176 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:19:11 - mmengine - INFO - Iter(train) [196800/480000] base_lr: 1.2862e-04 lr: 3.4828e-05 eta: 8 days, 11:12:16 time: 2.5955 data_time: 0.1457 memory: 26569 grad_norm: 0.8153 loss: 1.1612 grounding_loss_reg: 3.4604 detection_loss_cls: 0.0534 detection_loss_reg: 0.4568 caption_loss_cls: 2.4914 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8181 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:22:55 - mmengine - INFO - Iter(train) [196900/480000] base_lr: 1.2856e-04 lr: 3.4811e-05 eta: 8 days, 11:01:30 time: 2.5897 data_time: 0.1457 memory: 25728 grad_norm: 0.8170 loss: 1.1693 grounding_loss_reg: 3.4584 detection_loss_cls: 0.0534 detection_loss_reg: 0.4572 caption_loss_cls: 2.4975 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3145 instance_segmentation_loss_poly: 0.8192 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:27:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 02:27:00 - mmengine - INFO - Iter(train) [197000/480000] base_lr: 1.2850e-04 lr: 3.4795e-05 eta: 8 days, 10:54:46 time: 2.5871 data_time: 0.1457 memory: 26569 grad_norm: 0.8178 loss: 1.1732 grounding_loss_reg: 3.4602 detection_loss_cls: 0.0534 detection_loss_reg: 0.4577 caption_loss_cls: 2.4965 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_reg: 0.3148 instance_segmentation_loss_poly: 0.8187 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:27:00 - mmengine - INFO - Saving checkpoint at 197000 iterations 2023/10/21 02:32:05 - mmengine - INFO - Iter(train) [197100/480000] base_lr: 1.2843e-04 lr: 3.4779e-05 eta: 8 days, 10:59:16 time: 2.5913 data_time: 0.1456 memory: 25728 grad_norm: 0.8152 loss: 1.1686 grounding_loss_reg: 3.4599 detection_loss_cls: 0.0536 detection_loss_reg: 0.4587 caption_loss_cls: 2.4992 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:36:05 - mmengine - INFO - Iter(train) [197200/480000] base_lr: 1.2837e-04 lr: 3.4763e-05 eta: 8 days, 10:51:31 time: 2.5943 data_time: 0.1456 memory: 25728 grad_norm: 0.8169 loss: 1.1646 grounding_loss_reg: 3.4600 detection_loss_cls: 0.0536 detection_loss_reg: 0.4593 caption_loss_cls: 2.4965 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3143 instance_segmentation_loss_poly: 0.8197 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:40:07 - mmengine - INFO - Iter(train) [197300/480000] base_lr: 1.2831e-04 lr: 3.4747e-05 eta: 8 days, 10:44:02 time: 2.5961 data_time: 0.1457 memory: 25728 grad_norm: 0.8201 loss: 1.1699 grounding_loss_reg: 3.4605 detection_loss_cls: 0.0537 detection_loss_reg: 0.4605 caption_loss_cls: 2.4997 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3140 instance_segmentation_loss_poly: 0.8183 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:43:54 - mmengine - INFO - Iter(train) [197400/480000] base_lr: 1.2825e-04 lr: 3.4731e-05 eta: 8 days, 10:34:01 time: 2.5908 data_time: 0.1456 memory: 26569 grad_norm: 0.8196 loss: 1.1700 grounding_loss_reg: 3.4599 detection_loss_cls: 0.0540 detection_loss_reg: 0.4604 caption_loss_cls: 2.4956 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:47:45 - mmengine - INFO - Iter(train) [197500/480000] base_lr: 1.2818e-04 lr: 3.4715e-05 eta: 8 days, 10:24:49 time: 2.5867 data_time: 0.1455 memory: 25728 grad_norm: 0.8206 loss: 1.1676 grounding_loss_reg: 3.4587 detection_loss_cls: 0.0540 detection_loss_reg: 0.4601 caption_loss_cls: 2.4934 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3145 instance_segmentation_loss_poly: 0.8195 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:47:45 - mmengine - INFO - Saving checkpoint at 197500 iterations 2023/10/21 02:52:56 - mmengine - INFO - Iter(train) [197600/480000] base_lr: 1.2812e-04 lr: 3.4698e-05 eta: 8 days, 10:30:15 time: 2.5867 data_time: 0.1461 memory: 26569 grad_norm: 0.8210 loss: 1.1665 grounding_loss_reg: 3.4589 detection_loss_cls: 0.0541 detection_loss_reg: 0.4596 caption_loss_cls: 2.4914 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0135 2023/10/21 02:57:07 - mmengine - INFO - Iter(train) [197700/480000] base_lr: 1.2806e-04 lr: 3.4682e-05 eta: 8 days, 10:24:31 time: 2.5856 data_time: 0.1461 memory: 26569 grad_norm: 0.8192 loss: 1.1649 grounding_loss_reg: 3.4587 detection_loss_cls: 0.0540 detection_loss_reg: 0.4591 caption_loss_cls: 2.4890 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3146 instance_segmentation_loss_poly: 0.8197 semantic_segmentation_loss_cls: 0.0135 2023/10/21 03:01:22 - mmengine - INFO - Iter(train) [197800/480000] base_lr: 1.2800e-04 lr: 3.4666e-05 eta: 8 days, 10:19:42 time: 2.5866 data_time: 0.1461 memory: 26569 grad_norm: 0.8238 loss: 1.1686 grounding_loss_reg: 3.4557 detection_loss_cls: 0.0539 detection_loss_reg: 0.4575 caption_loss_cls: 2.4892 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 0.8178 semantic_segmentation_loss_cls: 0.0135 2023/10/21 03:05:28 - mmengine - INFO - Iter(train) [197900/480000] base_lr: 1.2794e-04 lr: 3.4650e-05 eta: 8 days, 10:13:05 time: 2.5858 data_time: 0.1461 memory: 26569 grad_norm: 0.8232 loss: 1.1744 grounding_loss_reg: 3.4558 detection_loss_cls: 0.0538 detection_loss_reg: 0.4565 caption_loss_cls: 2.4915 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3147 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0134 2023/10/21 03:09:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 03:09:33 - mmengine - INFO - Iter(train) [198000/480000] base_lr: 1.2787e-04 lr: 3.4634e-05 eta: 8 days, 10:06:25 time: 2.5853 data_time: 0.1461 memory: 25728 grad_norm: 0.8169 loss: 1.1680 grounding_loss_reg: 3.4546 detection_loss_cls: 0.0537 detection_loss_reg: 0.4563 caption_loss_cls: 2.4849 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3143 instance_segmentation_loss_poly: 0.8187 semantic_segmentation_loss_cls: 0.0135 2023/10/21 03:09:33 - mmengine - INFO - Saving checkpoint at 198000 iterations 2023/10/21 03:15:06 - mmengine - INFO - Iter(train) [198100/480000] base_lr: 1.2781e-04 lr: 3.4618e-05 eta: 8 days, 10:15:40 time: 2.5907 data_time: 0.1463 memory: 26569 grad_norm: 0.8188 loss: 1.1715 grounding_loss_reg: 3.4552 detection_loss_cls: 0.0538 detection_loss_reg: 0.4570 caption_loss_cls: 2.4861 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3150 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0135 2023/10/21 03:18:43 - mmengine - INFO - Iter(train) [198200/480000] base_lr: 1.2775e-04 lr: 3.4601e-05 eta: 8 days, 10:04:01 time: 2.5842 data_time: 0.1464 memory: 26569 grad_norm: 0.8263 loss: 1.1791 grounding_loss_reg: 3.4545 detection_loss_cls: 0.0539 detection_loss_reg: 0.4581 caption_loss_cls: 2.4822 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3155 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0134 2023/10/21 03:22:34 - mmengine - INFO - Iter(train) [198300/480000] base_lr: 1.2769e-04 lr: 3.4585e-05 eta: 8 days, 9:54:45 time: 2.5798 data_time: 0.1463 memory: 25728 grad_norm: 0.8302 loss: 1.1787 grounding_loss_reg: 3.4543 detection_loss_cls: 0.0536 detection_loss_reg: 0.4574 caption_loss_cls: 2.4779 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3147 instance_segmentation_loss_poly: 0.8174 semantic_segmentation_loss_cls: 0.0134 2023/10/21 03:26:24 - mmengine - INFO - Iter(train) [198400/480000] base_lr: 1.2762e-04 lr: 3.4569e-05 eta: 8 days, 9:45:28 time: 2.5748 data_time: 0.1463 memory: 25728 grad_norm: 0.8313 loss: 1.1784 grounding_loss_reg: 3.4538 detection_loss_cls: 0.0538 detection_loss_reg: 0.4584 caption_loss_cls: 2.4800 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8166 semantic_segmentation_loss_cls: 0.0134 2023/10/21 03:30:17 - mmengine - INFO - Iter(train) [198500/480000] base_lr: 1.2756e-04 lr: 3.4553e-05 eta: 8 days, 9:36:52 time: 2.5695 data_time: 0.1463 memory: 26569 grad_norm: 0.8288 loss: 1.1699 grounding_loss_reg: 3.4537 detection_loss_cls: 0.0538 detection_loss_reg: 0.4582 caption_loss_cls: 2.4790 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8167 semantic_segmentation_loss_cls: 0.0134 2023/10/21 03:30:17 - mmengine - INFO - Saving checkpoint at 198500 iterations 2023/10/21 03:35:39 - mmengine - INFO - Iter(train) [198600/480000] base_lr: 1.2750e-04 lr: 3.4537e-05 eta: 8 days, 9:43:49 time: 2.5721 data_time: 0.1458 memory: 25728 grad_norm: 0.8315 loss: 1.1743 grounding_loss_reg: 3.4533 detection_loss_cls: 0.0536 detection_loss_reg: 0.4571 caption_loss_cls: 2.4780 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3157 instance_segmentation_loss_poly: 0.8193 semantic_segmentation_loss_cls: 0.0133 2023/10/21 03:39:45 - mmengine - INFO - Iter(train) [198700/480000] base_lr: 1.2744e-04 lr: 3.4521e-05 eta: 8 days, 9:37:25 time: 2.5744 data_time: 0.1457 memory: 26569 grad_norm: 0.8371 loss: 1.1777 grounding_loss_reg: 3.4514 detection_loss_cls: 0.0535 detection_loss_reg: 0.4563 caption_loss_cls: 2.4771 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3157 instance_segmentation_loss_poly: 0.8189 semantic_segmentation_loss_cls: 0.0133 2023/10/21 03:44:07 - mmengine - INFO - Iter(train) [198800/480000] base_lr: 1.2737e-04 lr: 3.4504e-05 eta: 8 days, 9:33:42 time: 2.5726 data_time: 0.1458 memory: 26569 grad_norm: 0.8361 loss: 1.1782 grounding_loss_reg: 3.4514 detection_loss_cls: 0.0535 detection_loss_reg: 0.4560 caption_loss_cls: 2.4784 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3163 instance_segmentation_loss_poly: 0.8200 semantic_segmentation_loss_cls: 0.0133 2023/10/21 03:48:16 - mmengine - INFO - Iter(train) [198900/480000] base_lr: 1.2731e-04 lr: 3.4488e-05 eta: 8 days, 9:27:51 time: 2.5714 data_time: 0.1457 memory: 25728 grad_norm: 0.8346 loss: 1.1770 grounding_loss_reg: 3.4523 detection_loss_cls: 0.0536 detection_loss_reg: 0.4571 caption_loss_cls: 2.4810 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3154 instance_segmentation_loss_poly: 0.8176 semantic_segmentation_loss_cls: 0.0134 2023/10/21 03:52:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 03:52:13 - mmengine - INFO - Iter(train) [199000/480000] base_lr: 1.2725e-04 lr: 3.4472e-05 eta: 8 days, 9:19:56 time: 2.5676 data_time: 0.1457 memory: 26569 grad_norm: 0.8367 loss: 1.1732 grounding_loss_reg: 3.4520 detection_loss_cls: 0.0537 detection_loss_reg: 0.4573 caption_loss_cls: 2.4820 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3158 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0133 2023/10/21 03:52:13 - mmengine - INFO - Saving checkpoint at 199000 iterations 2023/10/21 03:57:34 - mmengine - INFO - Iter(train) [199100/480000] base_lr: 1.2719e-04 lr: 3.4456e-05 eta: 8 days, 9:26:27 time: 2.5708 data_time: 0.1462 memory: 26569 grad_norm: 0.8398 loss: 1.1760 grounding_loss_reg: 3.4528 detection_loss_cls: 0.0535 detection_loss_reg: 0.4567 caption_loss_cls: 2.4842 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3168 instance_segmentation_loss_poly: 0.8204 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:01:18 - mmengine - INFO - Iter(train) [199200/480000] base_lr: 1.2712e-04 lr: 3.4440e-05 eta: 8 days, 9:16:17 time: 2.5639 data_time: 0.1461 memory: 25728 grad_norm: 0.8413 loss: 1.1780 grounding_loss_reg: 3.4532 detection_loss_cls: 0.0537 detection_loss_reg: 0.4575 caption_loss_cls: 2.4868 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3170 instance_segmentation_loss_poly: 0.8209 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:05:19 - mmengine - INFO - Iter(train) [199300/480000] base_lr: 1.2706e-04 lr: 3.4423e-05 eta: 8 days, 9:09:03 time: 2.5676 data_time: 0.1461 memory: 25728 grad_norm: 0.8448 loss: 1.1749 grounding_loss_reg: 3.4532 detection_loss_cls: 0.0540 detection_loss_reg: 0.4583 caption_loss_cls: 2.4862 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3164 instance_segmentation_loss_poly: 0.8196 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:09:30 - mmengine - INFO - Iter(train) [199400/480000] base_lr: 1.2700e-04 lr: 3.4407e-05 eta: 8 days, 9:03:35 time: 2.5705 data_time: 0.1461 memory: 26569 grad_norm: 0.8449 loss: 1.1724 grounding_loss_reg: 3.4533 detection_loss_cls: 0.0539 detection_loss_reg: 0.4576 caption_loss_cls: 2.4844 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3169 instance_segmentation_loss_poly: 0.8201 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:13:43 - mmengine - INFO - Iter(train) [199500/480000] base_lr: 1.2694e-04 lr: 3.4391e-05 eta: 8 days, 8:58:24 time: 2.5719 data_time: 0.1462 memory: 26569 grad_norm: 0.8458 loss: 1.1763 grounding_loss_reg: 3.4508 detection_loss_cls: 0.0539 detection_loss_reg: 0.4571 caption_loss_cls: 2.4851 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3171 instance_segmentation_loss_poly: 0.8209 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:13:43 - mmengine - INFO - Saving checkpoint at 199500 iterations 2023/10/21 04:19:08 - mmengine - INFO - Iter(train) [199600/480000] base_lr: 1.2687e-04 lr: 3.4375e-05 eta: 8 days, 9:05:32 time: 2.5745 data_time: 0.1462 memory: 26569 grad_norm: 0.8474 loss: 1.1822 grounding_loss_reg: 3.4486 detection_loss_cls: 0.0537 detection_loss_reg: 0.4565 caption_loss_cls: 2.4881 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3178 instance_segmentation_loss_poly: 0.8218 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:23:24 - mmengine - INFO - Iter(train) [199700/480000] base_lr: 1.2681e-04 lr: 3.4359e-05 eta: 8 days, 9:00:50 time: 2.5667 data_time: 0.1461 memory: 26569 grad_norm: 0.8505 loss: 1.1879 grounding_loss_reg: 3.4489 detection_loss_cls: 0.0537 detection_loss_reg: 0.4559 caption_loss_cls: 2.4880 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3181 instance_segmentation_loss_poly: 0.8226 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:27:22 - mmengine - INFO - Iter(train) [199800/480000] base_lr: 1.2675e-04 lr: 3.4342e-05 eta: 8 days, 8:53:11 time: 2.5629 data_time: 0.1465 memory: 25728 grad_norm: 0.8587 loss: 1.1958 grounding_loss_reg: 3.4509 detection_loss_cls: 0.0536 detection_loss_reg: 0.4553 caption_loss_cls: 2.4831 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3179 instance_segmentation_loss_poly: 0.8229 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:31:02 - mmengine - INFO - Iter(train) [199900/480000] base_lr: 1.2669e-04 lr: 3.4326e-05 eta: 8 days, 8:42:23 time: 2.5555 data_time: 0.1465 memory: 25728 grad_norm: 0.8626 loss: 1.1972 grounding_loss_reg: 3.4522 detection_loss_cls: 0.0538 detection_loss_reg: 0.4565 caption_loss_cls: 2.4827 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3172 instance_segmentation_loss_poly: 0.8229 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:35:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 04:35:19 - mmengine - INFO - Iter(train) [200000/480000] base_lr: 1.2662e-04 lr: 3.4310e-05 eta: 8 days, 8:37:57 time: 2.5588 data_time: 0.1465 memory: 26569 grad_norm: 0.8647 loss: 1.1996 grounding_loss_reg: 3.4521 detection_loss_cls: 0.0537 detection_loss_reg: 0.4561 caption_loss_cls: 2.4829 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3175 instance_segmentation_loss_poly: 0.8232 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:35:19 - mmengine - INFO - Saving checkpoint at 200000 iterations 2023/10/21 04:40:44 - mmengine - INFO - Iter(train) [200100/480000] base_lr: 1.2656e-04 lr: 3.4294e-05 eta: 8 days, 8:44:51 time: 2.5620 data_time: 0.1466 memory: 25728 grad_norm: 0.8615 loss: 1.1972 grounding_loss_reg: 3.4524 detection_loss_cls: 0.0535 detection_loss_reg: 0.4553 caption_loss_cls: 2.4836 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3158 instance_segmentation_loss_poly: 0.8206 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:44:44 - mmengine - INFO - Iter(train) [200200/480000] base_lr: 1.2650e-04 lr: 3.4277e-05 eta: 8 days, 8:37:28 time: 2.5576 data_time: 0.1466 memory: 25728 grad_norm: 0.8616 loss: 1.1944 grounding_loss_reg: 3.4507 detection_loss_cls: 0.0537 detection_loss_reg: 0.4569 caption_loss_cls: 2.4835 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3143 instance_segmentation_loss_poly: 0.8175 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:48:49 - mmengine - INFO - Iter(train) [200300/480000] base_lr: 1.2644e-04 lr: 3.4261e-05 eta: 8 days, 8:30:58 time: 2.5560 data_time: 0.1465 memory: 25728 grad_norm: 0.8607 loss: 1.1924 grounding_loss_reg: 3.4498 detection_loss_cls: 0.0536 detection_loss_reg: 0.4576 caption_loss_cls: 2.4860 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 0.8173 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:52:51 - mmengine - INFO - Iter(train) [200400/480000] base_lr: 1.2637e-04 lr: 3.4245e-05 eta: 8 days, 8:24:09 time: 2.5580 data_time: 0.1466 memory: 25728 grad_norm: 0.8618 loss: 1.1899 grounding_loss_reg: 3.4499 detection_loss_cls: 0.0534 detection_loss_reg: 0.4573 caption_loss_cls: 2.4870 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3140 instance_segmentation_loss_poly: 0.8179 semantic_segmentation_loss_cls: 0.0133 2023/10/21 04:57:08 - mmengine - INFO - Iter(train) [200500/480000] base_lr: 1.2631e-04 lr: 3.4229e-05 eta: 8 days, 8:19:35 time: 2.5569 data_time: 0.1466 memory: 26569 grad_norm: 0.8614 loss: 1.1841 grounding_loss_reg: 3.4505 detection_loss_cls: 0.0532 detection_loss_reg: 0.4562 caption_loss_cls: 2.4857 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0132 2023/10/21 04:57:08 - mmengine - INFO - Saving checkpoint at 200500 iterations 2023/10/21 05:02:30 - mmengine - INFO - Iter(train) [200600/480000] base_lr: 1.2625e-04 lr: 3.4212e-05 eta: 8 days, 8:25:45 time: 2.5669 data_time: 0.1463 memory: 25728 grad_norm: 0.8623 loss: 1.1827 grounding_loss_reg: 3.4497 detection_loss_cls: 0.0528 detection_loss_reg: 0.4550 caption_loss_cls: 2.4812 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:06:35 - mmengine - INFO - Iter(train) [200700/480000] base_lr: 1.2619e-04 lr: 3.4196e-05 eta: 8 days, 8:19:17 time: 2.5683 data_time: 0.1463 memory: 25728 grad_norm: 0.8644 loss: 1.1904 grounding_loss_reg: 3.4499 detection_loss_cls: 0.0530 detection_loss_reg: 0.4556 caption_loss_cls: 2.4821 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3140 instance_segmentation_loss_poly: 0.8186 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:10:55 - mmengine - INFO - Iter(train) [200800/480000] base_lr: 1.2612e-04 lr: 3.4180e-05 eta: 8 days, 8:15:14 time: 2.5757 data_time: 0.1463 memory: 26569 grad_norm: 0.8673 loss: 1.1989 grounding_loss_reg: 3.4498 detection_loss_cls: 0.0531 detection_loss_reg: 0.4556 caption_loss_cls: 2.4845 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3145 instance_segmentation_loss_poly: 0.8195 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:15:06 - mmengine - INFO - Iter(train) [200900/480000] base_lr: 1.2606e-04 lr: 3.4164e-05 eta: 8 days, 8:09:42 time: 2.5822 data_time: 0.1464 memory: 25728 grad_norm: 0.8624 loss: 1.1856 grounding_loss_reg: 3.4483 detection_loss_cls: 0.0530 detection_loss_reg: 0.4548 caption_loss_cls: 2.4838 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3146 instance_segmentation_loss_poly: 0.8202 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:19:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 05:19:05 - mmengine - INFO - Iter(train) [201000/480000] base_lr: 1.2600e-04 lr: 3.4147e-05 eta: 8 days, 8:02:24 time: 2.5808 data_time: 0.1463 memory: 25728 grad_norm: 0.8562 loss: 1.1738 grounding_loss_reg: 3.4488 detection_loss_cls: 0.0529 detection_loss_reg: 0.4550 caption_loss_cls: 2.4843 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8191 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:19:05 - mmengine - INFO - Saving checkpoint at 201000 iterations 2023/10/21 05:24:25 - mmengine - INFO - Iter(train) [201100/480000] base_lr: 1.2593e-04 lr: 3.4131e-05 eta: 8 days, 8:07:56 time: 2.5844 data_time: 0.1470 memory: 25728 grad_norm: 0.8549 loss: 1.1686 grounding_loss_reg: 3.4462 detection_loss_cls: 0.0531 detection_loss_reg: 0.4560 caption_loss_cls: 2.4817 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3149 instance_segmentation_loss_poly: 0.8207 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:28:32 - mmengine - INFO - Iter(train) [201200/480000] base_lr: 1.2587e-04 lr: 3.4115e-05 eta: 8 days, 8:01:54 time: 2.5864 data_time: 0.1469 memory: 26569 grad_norm: 0.8511 loss: 1.1643 grounding_loss_reg: 3.4453 detection_loss_cls: 0.0531 detection_loss_reg: 0.4550 caption_loss_cls: 2.4818 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3149 instance_segmentation_loss_poly: 0.8213 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:32:50 - mmengine - INFO - Iter(train) [201300/480000] base_lr: 1.2581e-04 lr: 3.4099e-05 eta: 8 days, 7:57:25 time: 2.5903 data_time: 0.1470 memory: 26569 grad_norm: 0.8475 loss: 1.1584 grounding_loss_reg: 3.4442 detection_loss_cls: 0.0531 detection_loss_reg: 0.4547 caption_loss_cls: 2.4827 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3155 instance_segmentation_loss_poly: 0.8216 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:36:53 - mmengine - INFO - Iter(train) [201400/480000] base_lr: 1.2575e-04 lr: 3.4082e-05 eta: 8 days, 7:50:45 time: 2.5943 data_time: 0.1470 memory: 26569 grad_norm: 0.8449 loss: 1.1566 grounding_loss_reg: 3.4438 detection_loss_cls: 0.0534 detection_loss_reg: 0.4557 caption_loss_cls: 2.4808 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3160 instance_segmentation_loss_poly: 0.8223 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:40:52 - mmengine - INFO - Iter(train) [201500/480000] base_lr: 1.2568e-04 lr: 3.4066e-05 eta: 8 days, 7:43:25 time: 2.5962 data_time: 0.1471 memory: 25728 grad_norm: 0.8462 loss: 1.1603 grounding_loss_reg: 3.4436 detection_loss_cls: 0.0532 detection_loss_reg: 0.4554 caption_loss_cls: 2.4831 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3171 instance_segmentation_loss_poly: 0.8244 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:40:52 - mmengine - INFO - Saving checkpoint at 201500 iterations 2023/10/21 05:46:17 - mmengine - INFO - Iter(train) [201600/480000] base_lr: 1.2562e-04 lr: 3.4050e-05 eta: 8 days, 7:49:39 time: 2.5998 data_time: 0.1470 memory: 26569 grad_norm: 0.8452 loss: 1.1634 grounding_loss_reg: 3.4401 detection_loss_cls: 0.0533 detection_loss_reg: 0.4553 caption_loss_cls: 2.4870 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3169 instance_segmentation_loss_poly: 0.8241 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:49:59 - mmengine - INFO - Iter(train) [201700/480000] base_lr: 1.2556e-04 lr: 3.4034e-05 eta: 8 days, 7:39:34 time: 2.5926 data_time: 0.1469 memory: 26569 grad_norm: 0.8518 loss: 1.1661 grounding_loss_reg: 3.4388 detection_loss_cls: 0.0533 detection_loss_reg: 0.4546 caption_loss_cls: 2.4834 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3152 instance_segmentation_loss_poly: 0.8205 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:54:08 - mmengine - INFO - Iter(train) [201800/480000] base_lr: 1.2550e-04 lr: 3.4017e-05 eta: 8 days, 7:33:54 time: 2.5911 data_time: 0.1469 memory: 25728 grad_norm: 0.8457 loss: 1.1609 grounding_loss_reg: 3.4394 detection_loss_cls: 0.0532 detection_loss_reg: 0.4550 caption_loss_cls: 2.4800 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8182 semantic_segmentation_loss_cls: 0.0132 2023/10/21 05:58:08 - mmengine - INFO - Iter(train) [201900/480000] base_lr: 1.2543e-04 lr: 3.4001e-05 eta: 8 days, 7:26:40 time: 2.5897 data_time: 0.1469 memory: 25728 grad_norm: 0.8453 loss: 1.1597 grounding_loss_reg: 3.4404 detection_loss_cls: 0.0530 detection_loss_reg: 0.4544 caption_loss_cls: 2.4830 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3147 instance_segmentation_loss_poly: 0.8197 semantic_segmentation_loss_cls: 0.0132 2023/10/21 06:02:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 06:02:38 - mmengine - INFO - Iter(train) [202000/480000] base_lr: 1.2537e-04 lr: 3.3985e-05 eta: 8 days, 7:24:12 time: 2.5959 data_time: 0.1469 memory: 26569 grad_norm: 0.8513 loss: 1.1712 grounding_loss_reg: 3.4400 detection_loss_cls: 0.0529 detection_loss_reg: 0.4532 caption_loss_cls: 2.4816 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3147 instance_segmentation_loss_poly: 0.8197 semantic_segmentation_loss_cls: 0.0132 2023/10/21 06:02:38 - mmengine - INFO - Saving checkpoint at 202000 iterations 2023/10/21 06:07:22 - mmengine - INFO - Iter(train) [202100/480000] base_lr: 1.2531e-04 lr: 3.3968e-05 eta: 8 days, 7:23:55 time: 2.5837 data_time: 0.1468 memory: 25728 grad_norm: 0.8557 loss: 1.1756 grounding_loss_reg: 3.4394 detection_loss_cls: 0.0527 detection_loss_reg: 0.4528 caption_loss_cls: 2.4835 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3149 instance_segmentation_loss_poly: 0.8205 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:11:30 - mmengine - INFO - Iter(train) [202200/480000] base_lr: 1.2524e-04 lr: 3.3952e-05 eta: 8 days, 7:17:57 time: 2.5912 data_time: 0.1468 memory: 25728 grad_norm: 0.8532 loss: 1.1752 grounding_loss_reg: 3.4389 detection_loss_cls: 0.0526 detection_loss_reg: 0.4516 caption_loss_cls: 2.4865 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3154 instance_segmentation_loss_poly: 0.8215 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:15:24 - mmengine - INFO - Iter(train) [202300/480000] base_lr: 1.2518e-04 lr: 3.3936e-05 eta: 8 days, 7:09:59 time: 2.5922 data_time: 0.1468 memory: 26569 grad_norm: 0.8469 loss: 1.1746 grounding_loss_reg: 3.4383 detection_loss_cls: 0.0526 detection_loss_reg: 0.4516 caption_loss_cls: 2.4857 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3151 instance_segmentation_loss_poly: 0.8210 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:19:28 - mmengine - INFO - Iter(train) [202400/480000] base_lr: 1.2512e-04 lr: 3.3920e-05 eta: 8 days, 7:03:25 time: 2.5956 data_time: 0.1468 memory: 26569 grad_norm: 0.8494 loss: 1.1752 grounding_loss_reg: 3.4393 detection_loss_cls: 0.0525 detection_loss_reg: 0.4520 caption_loss_cls: 2.4836 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3155 instance_segmentation_loss_poly: 0.8217 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:23:30 - mmengine - INFO - Iter(train) [202500/480000] base_lr: 1.2506e-04 lr: 3.3903e-05 eta: 8 days, 6:56:44 time: 2.5978 data_time: 0.1467 memory: 26569 grad_norm: 0.8553 loss: 1.1836 grounding_loss_reg: 3.4373 detection_loss_cls: 0.0526 detection_loss_reg: 0.4527 caption_loss_cls: 2.4806 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 0.8190 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:23:30 - mmengine - INFO - Saving checkpoint at 202500 iterations 2023/10/21 06:28:39 - mmengine - INFO - Iter(train) [202600/480000] base_lr: 1.2499e-04 lr: 3.3887e-05 eta: 8 days, 7:00:03 time: 2.5945 data_time: 0.1468 memory: 26569 grad_norm: 0.8583 loss: 1.1854 grounding_loss_reg: 3.4372 detection_loss_cls: 0.0527 detection_loss_reg: 0.4538 caption_loss_cls: 2.4821 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3128 instance_segmentation_loss_poly: 0.8175 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:32:41 - mmengine - INFO - Iter(train) [202700/480000] base_lr: 1.2493e-04 lr: 3.3871e-05 eta: 8 days, 6:53:24 time: 2.5936 data_time: 0.1468 memory: 25728 grad_norm: 0.8542 loss: 1.1795 grounding_loss_reg: 3.4367 detection_loss_cls: 0.0526 detection_loss_reg: 0.4530 caption_loss_cls: 2.4809 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3131 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:36:39 - mmengine - INFO - Iter(train) [202800/480000] base_lr: 1.2487e-04 lr: 3.3854e-05 eta: 8 days, 6:45:59 time: 2.5876 data_time: 0.1467 memory: 25728 grad_norm: 0.8628 loss: 1.1822 grounding_loss_reg: 3.4361 detection_loss_cls: 0.0524 detection_loss_reg: 0.4515 caption_loss_cls: 2.4818 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0131 2023/10/21 06:40:53 - mmengine - INFO - Iter(train) [202900/480000] base_lr: 1.2480e-04 lr: 3.3838e-05 eta: 8 days, 6:41:08 time: 2.5890 data_time: 0.1467 memory: 25728 grad_norm: 0.8624 loss: 1.1854 grounding_loss_reg: 3.4360 detection_loss_cls: 0.0524 detection_loss_reg: 0.4511 caption_loss_cls: 2.4854 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.3131 instance_segmentation_loss_poly: 0.8185 semantic_segmentation_loss_cls: 0.0130 2023/10/21 06:44:49 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 06:44:49 - mmengine - INFO - Iter(train) [203000/480000] base_lr: 1.2474e-04 lr: 3.3822e-05 eta: 8 days, 6:33:33 time: 2.5887 data_time: 0.1468 memory: 26569 grad_norm: 0.8598 loss: 1.1870 grounding_loss_reg: 3.4358 detection_loss_cls: 0.0523 detection_loss_reg: 0.4502 caption_loss_cls: 2.4829 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8199 semantic_segmentation_loss_cls: 0.0130 2023/10/21 06:44:49 - mmengine - INFO - Saving checkpoint at 203000 iterations 2023/10/21 06:50:40 - mmengine - INFO - Iter(train) [203100/480000] base_lr: 1.2468e-04 lr: 3.3806e-05 eta: 8 days, 6:42:55 time: 2.5961 data_time: 0.1467 memory: 26569 grad_norm: 0.8533 loss: 1.1733 grounding_loss_reg: 3.4348 detection_loss_cls: 0.0523 detection_loss_reg: 0.4499 caption_loss_cls: 2.4839 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3135 instance_segmentation_loss_poly: 0.8187 semantic_segmentation_loss_cls: 0.0130 2023/10/21 06:54:50 - mmengine - INFO - Iter(train) [203200/480000] base_lr: 1.2462e-04 lr: 3.3789e-05 eta: 8 days, 6:37:29 time: 2.6028 data_time: 0.1477 memory: 26569 grad_norm: 0.8488 loss: 1.1630 grounding_loss_reg: 3.4339 detection_loss_cls: 0.0523 detection_loss_reg: 0.4494 caption_loss_cls: 2.4832 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 0.8173 semantic_segmentation_loss_cls: 0.0130 2023/10/21 06:59:17 - mmengine - INFO - Iter(train) [203300/480000] base_lr: 1.2455e-04 lr: 3.3773e-05 eta: 8 days, 6:34:23 time: 2.6092 data_time: 0.1477 memory: 25728 grad_norm: 0.8431 loss: 1.1612 grounding_loss_reg: 3.4323 detection_loss_cls: 0.0523 detection_loss_reg: 0.4505 caption_loss_cls: 2.4814 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3136 instance_segmentation_loss_poly: 0.8180 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:03:39 - mmengine - INFO - Iter(train) [203400/480000] base_lr: 1.2449e-04 lr: 3.3757e-05 eta: 8 days, 6:30:39 time: 2.6119 data_time: 0.1477 memory: 26569 grad_norm: 0.8420 loss: 1.1645 grounding_loss_reg: 3.4317 detection_loss_cls: 0.0520 detection_loss_reg: 0.4483 caption_loss_cls: 2.4838 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 0.8182 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:07:36 - mmengine - INFO - Iter(train) [203500/480000] base_lr: 1.2443e-04 lr: 3.3740e-05 eta: 8 days, 6:23:10 time: 2.6079 data_time: 0.1477 memory: 25728 grad_norm: 0.8422 loss: 1.1622 grounding_loss_reg: 3.4306 detection_loss_cls: 0.0521 detection_loss_reg: 0.4482 caption_loss_cls: 2.4787 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8190 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:07:36 - mmengine - INFO - Saving checkpoint at 203500 iterations 2023/10/21 07:13:10 - mmengine - INFO - Iter(train) [203600/480000] base_lr: 1.2436e-04 lr: 3.3724e-05 eta: 8 days, 6:29:51 time: 2.6100 data_time: 0.1483 memory: 26569 grad_norm: 0.8367 loss: 1.1547 grounding_loss_reg: 3.4276 detection_loss_cls: 0.0519 detection_loss_reg: 0.4474 caption_loss_cls: 2.4803 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3148 instance_segmentation_loss_poly: 0.8198 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:17:15 - mmengine - INFO - Iter(train) [203700/480000] base_lr: 1.2430e-04 lr: 3.3708e-05 eta: 8 days, 6:23:37 time: 2.6073 data_time: 0.1483 memory: 25728 grad_norm: 0.8368 loss: 1.1525 grounding_loss_reg: 3.4280 detection_loss_cls: 0.0519 detection_loss_reg: 0.4472 caption_loss_cls: 2.4784 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3145 instance_segmentation_loss_poly: 0.8196 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:21:27 - mmengine - INFO - Iter(train) [203800/480000] base_lr: 1.2424e-04 lr: 3.3691e-05 eta: 8 days, 6:18:25 time: 2.6108 data_time: 0.1479 memory: 26569 grad_norm: 0.8308 loss: 1.1474 grounding_loss_reg: 3.4264 detection_loss_cls: 0.0519 detection_loss_reg: 0.4474 caption_loss_cls: 2.4800 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3141 instance_segmentation_loss_poly: 0.8184 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:25:50 - mmengine - INFO - Iter(train) [203900/480000] base_lr: 1.2417e-04 lr: 3.3675e-05 eta: 8 days, 6:14:45 time: 2.6218 data_time: 0.1479 memory: 26569 grad_norm: 0.8238 loss: 1.1428 grounding_loss_reg: 3.4269 detection_loss_cls: 0.0518 detection_loss_reg: 0.4458 caption_loss_cls: 2.4795 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3126 instance_segmentation_loss_poly: 0.8164 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:29:57 - mmengine - INFO - Exp name: univision_joint_all_huge_20231020_074843 2023/10/21 07:29:57 - mmengine - INFO - Iter(train) [204000/480000] base_lr: 1.2411e-04 lr: 3.3659e-05 eta: 8 days, 6:08:44 time: 2.6191 data_time: 0.1479 memory: 26569 grad_norm: 0.8222 loss: 1.1428 grounding_loss_reg: 3.4274 detection_loss_cls: 0.0519 detection_loss_reg: 0.4460 caption_loss_cls: 2.4796 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3129 instance_segmentation_loss_poly: 0.8172 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:29:57 - mmengine - INFO - Saving checkpoint at 204000 iterations 2023/10/21 07:35:38 - mmengine - INFO - Iter(train) [204100/480000] base_lr: 1.2405e-04 lr: 3.3642e-05 eta: 8 days, 6:16:15 time: 2.6230 data_time: 0.1481 memory: 26569 grad_norm: 0.8235 loss: 1.1481 grounding_loss_reg: 3.4285 detection_loss_cls: 0.0519 detection_loss_reg: 0.4464 caption_loss_cls: 2.4808 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3130 instance_segmentation_loss_poly: 0.8164 semantic_segmentation_loss_cls: 0.0130 2023/10/21 07:39:53 - mmengine - INFO - Iter(train) [204200/480000] base_lr: 1.2399e-04 lr: 3.3626e-05 eta: 8 days, 6:11:23 time: 2.6268 data_time: 0.1480 memory: 25728 grad_norm: 0.8214 loss: 1.1470 grounding_loss_reg: 3.4299 detection_loss_cls: 0.0518 detection_loss_reg: 0.4466 caption_loss_cls: 2.4878 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3127 instance_segmentation_loss_poly: 0.8154 semantic_segmentation_loss_cls: 0.0131 2023/10/21 07:44:08 - mmengine - INFO - Iter(train) [204300/480000] base_lr: 1.2392e-04 lr: 3.3610e-05 eta: 8 days, 6:06:33 time: 2.6294 data_time: 0.1481 memory: 25728 grad_norm: 0.8184 loss: 1.1475 grounding_loss_reg: 3.4298 detection_loss_cls: 0.0519 detection_loss_reg: 0.4488 caption_loss_cls: 2.4885 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3132 instance_segmentation_loss_poly: 0.8161 semantic_segmentation_loss_cls: 0.0130 2023/10/21 07:48:10 - mmengine - INFO - Iter(train) [204400/480000] base_lr: 1.2386e-04 lr: 3.3593e-05 eta: 8 days, 5:59:56 time: 2.6293 data_time: 0.1481 memory: 25728 grad_norm: 0.8164 loss: 1.1461 grounding_loss_reg: 3.4283 detection_loss_cls: 0.0519 detection_loss_reg: 0.4497 caption_loss_cls: 2.4905 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3136 instance_segmentation_loss_poly: 0.8171 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:19:21 - mmengine - INFO - Iter(train) [204500/480000] base_lr: 1.2380e-04 lr: 3.3577e-05 eta: 5 days, 3:28:59 time: 2.4936 data_time: 0.1313 memory: 26562 grad_norm: 0.8375 loss: 1.1475 grounding_loss_reg: 3.4236 detection_loss_cls: 0.0517 detection_loss_reg: 0.4481 caption_loss_cls: 2.4770 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 0.8117 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:19:21 - mmengine - INFO - Saving checkpoint at 204500 iterations 2023/10/22 02:23:23 - mmengine - INFO - Iter(train) [204600/480000] base_lr: 1.2373e-04 lr: 3.3561e-05 eta: 5 days, 13:45:28 time: 2.4736 data_time: 0.1313 memory: 25723 grad_norm: 0.8360 loss: 1.1419 grounding_loss_reg: 3.4237 detection_loss_cls: 0.0516 detection_loss_reg: 0.4475 caption_loss_cls: 2.4683 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 0.8107 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:26:35 - mmengine - INFO - Iter(train) [204700/480000] base_lr: 1.2367e-04 lr: 3.3544e-05 eta: 5 days, 15:32:33 time: 2.4603 data_time: 0.1313 memory: 25723 grad_norm: 0.8363 loss: 1.1385 grounding_loss_reg: 3.4244 detection_loss_cls: 0.0517 detection_loss_reg: 0.4472 caption_loss_cls: 2.4683 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.3100 instance_segmentation_loss_poly: 0.8103 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:29:47 - mmengine - INFO - Iter(train) [204800/480000] base_lr: 1.2361e-04 lr: 3.3528e-05 eta: 5 days, 16:54:58 time: 2.4433 data_time: 0.1312 memory: 25723 grad_norm: 0.8332 loss: 1.1312 grounding_loss_reg: 3.4239 detection_loss_cls: 0.0515 detection_loss_reg: 0.4465 caption_loss_cls: 2.4683 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3093 instance_segmentation_loss_poly: 0.8100 semantic_segmentation_loss_cls: 0.0129 2023/10/22 02:33:04 - mmengine - INFO - Iter(train) [204900/480000] base_lr: 1.2354e-04 lr: 3.3511e-05 eta: 5 days, 18:23:07 time: 2.4300 data_time: 0.1312 memory: 25723 grad_norm: 0.8336 loss: 1.1348 grounding_loss_reg: 3.4246 detection_loss_cls: 0.0515 detection_loss_reg: 0.4459 caption_loss_cls: 2.4675 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8102 semantic_segmentation_loss_cls: 0.0129 2023/10/22 02:36:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 02:36:24 - mmengine - INFO - Iter(train) [205000/480000] base_lr: 1.2348e-04 lr: 3.3495e-05 eta: 5 days, 19:47:32 time: 2.4201 data_time: 0.1313 memory: 25723 grad_norm: 0.8384 loss: 1.1459 grounding_loss_reg: 3.4242 detection_loss_cls: 0.0515 detection_loss_reg: 0.4461 caption_loss_cls: 2.4699 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.8104 semantic_segmentation_loss_cls: 0.0129 2023/10/22 02:36:24 - mmengine - INFO - Saving checkpoint at 205000 iterations 2023/10/22 02:40:53 - mmengine - INFO - Iter(train) [205100/480000] base_lr: 1.2342e-04 lr: 3.3479e-05 eta: 6 days, 1:40:33 time: 2.4073 data_time: 0.1309 memory: 26562 grad_norm: 0.8375 loss: 1.1437 grounding_loss_reg: 3.4232 detection_loss_cls: 0.0516 detection_loss_reg: 0.4458 caption_loss_cls: 2.4701 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3090 instance_segmentation_loss_poly: 0.8097 semantic_segmentation_loss_cls: 0.0129 2023/10/22 02:44:26 - mmengine - INFO - Iter(train) [205200/480000] base_lr: 1.2335e-04 lr: 3.3462e-05 eta: 6 days, 3:03:07 time: 2.3988 data_time: 0.1308 memory: 25723 grad_norm: 0.8372 loss: 1.1420 grounding_loss_reg: 3.4209 detection_loss_cls: 0.0513 detection_loss_reg: 0.4447 caption_loss_cls: 2.4702 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 0.8087 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:48:17 - mmengine - INFO - Iter(train) [205300/480000] base_lr: 1.2329e-04 lr: 3.3446e-05 eta: 6 days, 5:13:38 time: 2.3921 data_time: 0.1308 memory: 25723 grad_norm: 0.8354 loss: 1.1414 grounding_loss_reg: 3.4191 detection_loss_cls: 0.0514 detection_loss_reg: 0.4460 caption_loss_cls: 2.4719 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8086 semantic_segmentation_loss_cls: 0.0129 2023/10/22 02:51:53 - mmengine - INFO - Iter(train) [205400/480000] base_lr: 1.2323e-04 lr: 3.3430e-05 eta: 6 days, 6:17:51 time: 2.3854 data_time: 0.1308 memory: 25723 grad_norm: 0.8406 loss: 1.1420 grounding_loss_reg: 3.4182 detection_loss_cls: 0.0514 detection_loss_reg: 0.4464 caption_loss_cls: 2.4668 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8088 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:55:32 - mmengine - INFO - Iter(train) [205500/480000] base_lr: 1.2317e-04 lr: 3.3413e-05 eta: 6 days, 7:20:06 time: 2.3802 data_time: 0.1308 memory: 26562 grad_norm: 0.8414 loss: 1.1392 grounding_loss_reg: 3.4185 detection_loss_cls: 0.0515 detection_loss_reg: 0.4466 caption_loss_cls: 2.4651 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 0.8095 semantic_segmentation_loss_cls: 0.0130 2023/10/22 02:55:32 - mmengine - INFO - Saving checkpoint at 205500 iterations 2023/10/22 03:00:08 - mmengine - INFO - Iter(train) [205600/480000] base_lr: 1.2310e-04 lr: 3.3397e-05 eta: 6 days, 10:58:39 time: 2.3679 data_time: 0.1304 memory: 25723 grad_norm: 0.8397 loss: 1.1333 grounding_loss_reg: 3.4177 detection_loss_cls: 0.0515 detection_loss_reg: 0.4461 caption_loss_cls: 2.4636 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3084 instance_segmentation_loss_poly: 0.8087 semantic_segmentation_loss_cls: 0.0130 2023/10/22 03:03:33 - mmengine - INFO - Iter(train) [205700/480000] base_lr: 1.2304e-04 lr: 3.3381e-05 eta: 6 days, 11:00:42 time: 2.3639 data_time: 0.1304 memory: 26562 grad_norm: 0.8378 loss: 1.1313 grounding_loss_reg: 3.4170 detection_loss_cls: 0.0514 detection_loss_reg: 0.4451 caption_loss_cls: 2.4663 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8065 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:07:13 - mmengine - INFO - Iter(train) [205800/480000] base_lr: 1.2298e-04 lr: 3.3364e-05 eta: 6 days, 11:37:40 time: 2.3564 data_time: 0.1303 memory: 26562 grad_norm: 0.8388 loss: 1.1292 grounding_loss_reg: 3.4172 detection_loss_cls: 0.0514 detection_loss_reg: 0.4454 caption_loss_cls: 2.4636 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8046 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:11:06 - mmengine - INFO - Iter(train) [205900/480000] base_lr: 1.2291e-04 lr: 3.3348e-05 eta: 6 days, 12:45:12 time: 2.3550 data_time: 0.1304 memory: 25723 grad_norm: 0.8402 loss: 1.1247 grounding_loss_reg: 3.4169 detection_loss_cls: 0.0512 detection_loss_reg: 0.4441 caption_loss_cls: 2.4633 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8052 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:14:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 03:14:39 - mmengine - INFO - Iter(train) [206000/480000] base_lr: 1.2285e-04 lr: 3.3331e-05 eta: 6 days, 12:56:07 time: 2.3405 data_time: 0.1303 memory: 25723 grad_norm: 0.8408 loss: 1.1204 grounding_loss_reg: 3.4165 detection_loss_cls: 0.0512 detection_loss_reg: 0.4435 caption_loss_cls: 2.4641 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8051 semantic_segmentation_loss_cls: 0.0130 2023/10/22 03:14:39 - mmengine - INFO - Saving checkpoint at 206000 iterations 2023/10/22 03:19:06 - mmengine - INFO - Iter(train) [206100/480000] base_lr: 1.2279e-04 lr: 3.3315e-05 eta: 6 days, 15:05:14 time: 2.3362 data_time: 0.1296 memory: 26562 grad_norm: 0.8352 loss: 1.1175 grounding_loss_reg: 3.4164 detection_loss_cls: 0.0511 detection_loss_reg: 0.4431 caption_loss_cls: 2.4675 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8057 semantic_segmentation_loss_cls: 0.0130 2023/10/22 03:22:43 - mmengine - INFO - Iter(train) [206200/480000] base_lr: 1.2272e-04 lr: 3.3299e-05 eta: 6 days, 15:18:45 time: 2.3287 data_time: 0.1297 memory: 25723 grad_norm: 0.8352 loss: 1.1142 grounding_loss_reg: 3.4143 detection_loss_cls: 0.0512 detection_loss_reg: 0.4437 caption_loss_cls: 2.4657 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8060 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:26:35 - mmengine - INFO - Iter(train) [206300/480000] base_lr: 1.2266e-04 lr: 3.3282e-05 eta: 6 days, 15:58:56 time: 2.3280 data_time: 0.1297 memory: 25723 grad_norm: 0.8387 loss: 1.1161 grounding_loss_reg: 3.4136 detection_loss_cls: 0.0511 detection_loss_reg: 0.4437 caption_loss_cls: 2.4632 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.8059 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:30:03 - mmengine - INFO - Iter(train) [206400/480000] base_lr: 1.2260e-04 lr: 3.3266e-05 eta: 6 days, 15:50:45 time: 2.3191 data_time: 0.1297 memory: 25723 grad_norm: 0.8458 loss: 1.1193 grounding_loss_reg: 3.4141 detection_loss_cls: 0.0511 detection_loss_reg: 0.4437 caption_loss_cls: 2.4588 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8073 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:33:51 - mmengine - INFO - Iter(train) [206500/480000] base_lr: 1.2253e-04 lr: 3.3249e-05 eta: 6 days, 16:20:02 time: 2.3156 data_time: 0.1296 memory: 25723 grad_norm: 0.8384 loss: 1.1104 grounding_loss_reg: 3.4141 detection_loss_cls: 0.0508 detection_loss_reg: 0.4423 caption_loss_cls: 2.4634 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8052 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:33:51 - mmengine - INFO - Saving checkpoint at 206500 iterations 2023/10/22 03:38:44 - mmengine - INFO - Iter(train) [206600/480000] base_lr: 1.2247e-04 lr: 3.3233e-05 eta: 6 days, 18:39:13 time: 2.3116 data_time: 0.1295 memory: 26562 grad_norm: 0.8409 loss: 1.1157 grounding_loss_reg: 3.4144 detection_loss_cls: 0.0509 detection_loss_reg: 0.4428 caption_loss_cls: 2.4620 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8033 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:42:59 - mmengine - INFO - Iter(train) [206700/480000] base_lr: 1.2241e-04 lr: 3.3217e-05 eta: 6 days, 19:44:37 time: 2.3147 data_time: 0.1296 memory: 26562 grad_norm: 0.8389 loss: 1.1131 grounding_loss_reg: 3.4134 detection_loss_cls: 0.0507 detection_loss_reg: 0.4433 caption_loss_cls: 2.4568 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8022 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:46:38 - mmengine - INFO - Iter(train) [206800/480000] base_lr: 1.2234e-04 lr: 3.3200e-05 eta: 6 days, 19:47:17 time: 2.3102 data_time: 0.1295 memory: 26562 grad_norm: 0.8394 loss: 1.1159 grounding_loss_reg: 3.4123 detection_loss_cls: 0.0506 detection_loss_reg: 0.4435 caption_loss_cls: 2.4550 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8020 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:50:30 - mmengine - INFO - Iter(train) [206900/480000] base_lr: 1.2228e-04 lr: 3.3184e-05 eta: 6 days, 20:08:54 time: 2.3046 data_time: 0.1296 memory: 25723 grad_norm: 0.8388 loss: 1.1080 grounding_loss_reg: 3.4123 detection_loss_cls: 0.0506 detection_loss_reg: 0.4430 caption_loss_cls: 2.4529 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8016 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:54:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 03:54:36 - mmengine - INFO - Iter(train) [207000/480000] base_lr: 1.2222e-04 lr: 3.3167e-05 eta: 6 days, 20:50:14 time: 2.3070 data_time: 0.1296 memory: 25723 grad_norm: 0.8424 loss: 1.1107 grounding_loss_reg: 3.4117 detection_loss_cls: 0.0506 detection_loss_reg: 0.4423 caption_loss_cls: 2.4553 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8035 semantic_segmentation_loss_cls: 0.0129 2023/10/22 03:54:36 - mmengine - INFO - Saving checkpoint at 207000 iterations 2023/10/22 03:59:39 - mmengine - INFO - Iter(train) [207100/480000] base_lr: 1.2215e-04 lr: 3.3151e-05 eta: 6 days, 22:51:28 time: 2.2951 data_time: 0.1290 memory: 25723 grad_norm: 0.8496 loss: 1.1208 grounding_loss_reg: 3.4092 detection_loss_cls: 0.0507 detection_loss_reg: 0.4431 caption_loss_cls: 2.4531 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.3060 instance_segmentation_loss_poly: 0.8035 semantic_segmentation_loss_cls: 0.0129 2023/10/22 04:03:23 - mmengine - INFO - Iter(train) [207200/480000] base_lr: 1.2209e-04 lr: 3.3135e-05 eta: 6 days, 22:53:10 time: 2.2884 data_time: 0.1280 memory: 26562 grad_norm: 0.8533 loss: 1.1273 grounding_loss_reg: 3.4113 detection_loss_cls: 0.0508 detection_loss_reg: 0.4442 caption_loss_cls: 2.4522 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.3052 instance_segmentation_loss_poly: 0.8014 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:07:49 - mmengine - INFO - Iter(train) [207300/480000] base_lr: 1.2203e-04 lr: 3.3118e-05 eta: 6 days, 23:53:21 time: 2.2884 data_time: 0.1281 memory: 26562 grad_norm: 0.8528 loss: 1.1269 grounding_loss_reg: 3.4117 detection_loss_cls: 0.0508 detection_loss_reg: 0.4440 caption_loss_cls: 2.4479 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8008 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:11:24 - mmengine - INFO - Iter(train) [207400/480000] base_lr: 1.2196e-04 lr: 3.3102e-05 eta: 6 days, 23:39:51 time: 2.2764 data_time: 0.1281 memory: 26562 grad_norm: 0.8572 loss: 1.1285 grounding_loss_reg: 3.4115 detection_loss_cls: 0.0509 detection_loss_reg: 0.4444 caption_loss_cls: 2.4449 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8012 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:15:31 - mmengine - INFO - Iter(train) [207500/480000] base_lr: 1.2190e-04 lr: 3.3085e-05 eta: 7 days, 0:09:45 time: 2.2791 data_time: 0.1282 memory: 26562 grad_norm: 0.8550 loss: 1.1293 grounding_loss_reg: 3.4108 detection_loss_cls: 0.0511 detection_loss_reg: 0.4444 caption_loss_cls: 2.4438 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8008 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:15:31 - mmengine - INFO - Saving checkpoint at 207500 iterations 2023/10/22 04:20:19 - mmengine - INFO - Iter(train) [207600/480000] base_lr: 1.2184e-04 lr: 3.3069e-05 eta: 7 days, 1:28:28 time: 2.2676 data_time: 0.1272 memory: 25723 grad_norm: 0.8616 loss: 1.1414 grounding_loss_reg: 3.4103 detection_loss_cls: 0.0512 detection_loss_reg: 0.4451 caption_loss_cls: 2.4484 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3060 instance_segmentation_loss_poly: 0.8012 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:24:48 - mmengine - INFO - Iter(train) [207700/480000] base_lr: 1.2177e-04 lr: 3.3053e-05 eta: 7 days, 2:20:09 time: 2.2735 data_time: 0.1272 memory: 26562 grad_norm: 0.8576 loss: 1.1409 grounding_loss_reg: 3.4103 detection_loss_cls: 0.0511 detection_loss_reg: 0.4440 caption_loss_cls: 2.4520 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3052 instance_segmentation_loss_poly: 0.8006 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:29:04 - mmengine - INFO - Iter(train) [207800/480000] base_lr: 1.2171e-04 lr: 3.3036e-05 eta: 7 days, 2:53:06 time: 2.2744 data_time: 0.1272 memory: 25723 grad_norm: 0.8537 loss: 1.1333 grounding_loss_reg: 3.4099 detection_loss_cls: 0.0511 detection_loss_reg: 0.4437 caption_loss_cls: 2.4482 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8001 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:32:52 - mmengine - INFO - Iter(train) [207900/480000] base_lr: 1.2165e-04 lr: 3.3020e-05 eta: 7 days, 2:51:36 time: 2.2657 data_time: 0.1273 memory: 26562 grad_norm: 0.8587 loss: 1.1383 grounding_loss_reg: 3.4097 detection_loss_cls: 0.0512 detection_loss_reg: 0.4446 caption_loss_cls: 2.4497 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8012 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:37:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 04:37:04 - mmengine - INFO - Iter(train) [208000/480000] base_lr: 1.2158e-04 lr: 3.3003e-05 eta: 7 days, 3:17:57 time: 2.2672 data_time: 0.1272 memory: 26562 grad_norm: 0.8603 loss: 1.1358 grounding_loss_reg: 3.4086 detection_loss_cls: 0.0512 detection_loss_reg: 0.4450 caption_loss_cls: 2.4481 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8011 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:37:04 - mmengine - INFO - Saving checkpoint at 208000 iterations 2023/10/22 04:42:15 - mmengine - INFO - Iter(train) [208100/480000] base_lr: 1.2152e-04 lr: 3.2987e-05 eta: 7 days, 4:47:13 time: 2.3080 data_time: 0.1434 memory: 26562 grad_norm: 0.8560 loss: 1.1290 grounding_loss_reg: 3.4072 detection_loss_cls: 0.0512 detection_loss_reg: 0.4445 caption_loss_cls: 2.4440 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8019 semantic_segmentation_loss_cls: 0.0127 2023/10/22 04:46:31 - mmengine - INFO - Iter(train) [208200/480000] base_lr: 1.2146e-04 lr: 3.2970e-05 eta: 7 days, 5:12:34 time: 2.3347 data_time: 0.1435 memory: 26562 grad_norm: 0.8506 loss: 1.1253 grounding_loss_reg: 3.4072 detection_loss_cls: 0.0511 detection_loss_reg: 0.4439 caption_loss_cls: 2.4452 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8026 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:50:11 - mmengine - INFO - Iter(train) [208300/480000] base_lr: 1.2139e-04 lr: 3.2954e-05 eta: 7 days, 4:58:51 time: 2.3473 data_time: 0.1435 memory: 25723 grad_norm: 0.8515 loss: 1.1288 grounding_loss_reg: 3.4066 detection_loss_cls: 0.0514 detection_loss_reg: 0.4450 caption_loss_cls: 2.4451 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8040 semantic_segmentation_loss_cls: 0.0128 2023/10/22 04:54:16 - mmengine - INFO - Iter(train) [208400/480000] base_lr: 1.2133e-04 lr: 3.2937e-05 eta: 7 days, 5:10:40 time: 2.3680 data_time: 0.1435 memory: 26562 grad_norm: 0.8497 loss: 1.1285 grounding_loss_reg: 3.4081 detection_loss_cls: 0.0512 detection_loss_reg: 0.4435 caption_loss_cls: 2.4469 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8033 semantic_segmentation_loss_cls: 0.0127 2023/10/22 04:58:22 - mmengine - INFO - Iter(train) [208500/480000] base_lr: 1.2127e-04 lr: 3.2921e-05 eta: 7 days, 5:23:37 time: 2.3848 data_time: 0.1434 memory: 25723 grad_norm: 0.8495 loss: 1.1326 grounding_loss_reg: 3.4076 detection_loss_cls: 0.0515 detection_loss_reg: 0.4444 caption_loss_cls: 2.4481 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8043 semantic_segmentation_loss_cls: 0.0127 2023/10/22 04:58:22 - mmengine - INFO - Saving checkpoint at 208500 iterations 2023/10/22 05:03:35 - mmengine - INFO - Iter(train) [208600/480000] base_lr: 1.2120e-04 lr: 3.2905e-05 eta: 7 days, 6:41:33 time: 2.4025 data_time: 0.1435 memory: 26562 grad_norm: 0.8492 loss: 1.1372 grounding_loss_reg: 3.4070 detection_loss_cls: 0.0514 detection_loss_reg: 0.4440 caption_loss_cls: 2.4508 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8060 semantic_segmentation_loss_cls: 0.0127 2023/10/22 05:07:48 - mmengine - INFO - Iter(train) [208700/480000] base_lr: 1.2114e-04 lr: 3.2888e-05 eta: 7 days, 6:57:52 time: 2.4178 data_time: 0.1436 memory: 26562 grad_norm: 0.8486 loss: 1.1369 grounding_loss_reg: 3.4056 detection_loss_cls: 0.0514 detection_loss_reg: 0.4431 caption_loss_cls: 2.4548 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8054 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:12:16 - mmengine - INFO - Iter(train) [208800/480000] base_lr: 1.2108e-04 lr: 3.2872e-05 eta: 7 days, 7:27:44 time: 2.4368 data_time: 0.1437 memory: 25723 grad_norm: 0.8524 loss: 1.1396 grounding_loss_reg: 3.4044 detection_loss_cls: 0.0515 detection_loss_reg: 0.4435 caption_loss_cls: 2.4554 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8042 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:16:00 - mmengine - INFO - Iter(train) [208900/480000] base_lr: 1.2101e-04 lr: 3.2855e-05 eta: 7 days, 7:15:39 time: 2.4435 data_time: 0.1436 memory: 25723 grad_norm: 0.8534 loss: 1.1411 grounding_loss_reg: 3.4050 detection_loss_cls: 0.0513 detection_loss_reg: 0.4425 caption_loss_cls: 2.4559 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8040 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:19:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 05:19:35 - mmengine - INFO - Iter(train) [209000/480000] base_lr: 1.2095e-04 lr: 3.2839e-05 eta: 7 days, 6:55:25 time: 2.4471 data_time: 0.1436 memory: 25723 grad_norm: 0.8506 loss: 1.1382 grounding_loss_reg: 3.4033 detection_loss_cls: 0.0514 detection_loss_reg: 0.4425 caption_loss_cls: 2.4575 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8037 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:19:35 - mmengine - INFO - Saving checkpoint at 209000 iterations 2023/10/22 05:25:00 - mmengine - INFO - Iter(train) [209100/480000] base_lr: 1.2089e-04 lr: 3.2822e-05 eta: 7 days, 8:13:42 time: 2.4613 data_time: 0.1430 memory: 26562 grad_norm: 0.8504 loss: 1.1390 grounding_loss_reg: 3.4015 detection_loss_cls: 0.0513 detection_loss_reg: 0.4423 caption_loss_cls: 2.4588 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8018 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:29:23 - mmengine - INFO - Iter(train) [209200/480000] base_lr: 1.2082e-04 lr: 3.2806e-05 eta: 7 days, 8:34:31 time: 2.4737 data_time: 0.1431 memory: 26562 grad_norm: 0.8549 loss: 1.1425 grounding_loss_reg: 3.3986 detection_loss_cls: 0.0511 detection_loss_reg: 0.4415 caption_loss_cls: 2.4548 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8030 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:33:45 - mmengine - INFO - Iter(train) [209300/480000] base_lr: 1.2076e-04 lr: 3.2789e-05 eta: 7 days, 8:54:04 time: 2.4816 data_time: 0.1430 memory: 26562 grad_norm: 0.8548 loss: 1.1355 grounding_loss_reg: 3.3964 detection_loss_cls: 0.0510 detection_loss_reg: 0.4414 caption_loss_cls: 2.4556 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8019 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:37:40 - mmengine - INFO - Iter(train) [209400/480000] base_lr: 1.2070e-04 lr: 3.2773e-05 eta: 7 days, 8:50:22 time: 2.4864 data_time: 0.1430 memory: 26562 grad_norm: 0.8542 loss: 1.1329 grounding_loss_reg: 3.3957 detection_loss_cls: 0.0511 detection_loss_reg: 0.4415 caption_loss_cls: 2.4452 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8020 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:42:15 - mmengine - INFO - Iter(train) [209500/480000] base_lr: 1.2063e-04 lr: 3.2757e-05 eta: 7 days, 9:18:43 time: 2.5004 data_time: 0.1431 memory: 25723 grad_norm: 0.8502 loss: 1.1327 grounding_loss_reg: 3.3956 detection_loss_cls: 0.0512 detection_loss_reg: 0.4418 caption_loss_cls: 2.4465 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8018 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:42:15 - mmengine - INFO - Saving checkpoint at 209500 iterations 2023/10/22 05:47:43 - mmengine - INFO - Iter(train) [209600/480000] base_lr: 1.2057e-04 lr: 3.2740e-05 eta: 7 days, 10:28:45 time: 2.5134 data_time: 0.1425 memory: 26562 grad_norm: 0.8472 loss: 1.1305 grounding_loss_reg: 3.3972 detection_loss_cls: 0.0510 detection_loss_reg: 0.4413 caption_loss_cls: 2.4477 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8001 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:51:49 - mmengine - INFO - Iter(train) [209700/480000] base_lr: 1.2051e-04 lr: 3.2724e-05 eta: 7 days, 10:31:41 time: 2.5236 data_time: 0.1426 memory: 26562 grad_norm: 0.8446 loss: 1.1358 grounding_loss_reg: 3.3968 detection_loss_cls: 0.0509 detection_loss_reg: 0.4412 caption_loss_cls: 2.4467 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8011 semantic_segmentation_loss_cls: 0.0128 2023/10/22 05:56:05 - mmengine - INFO - Iter(train) [209800/480000] base_lr: 1.2044e-04 lr: 3.2707e-05 eta: 7 days, 10:41:14 time: 2.5326 data_time: 0.1427 memory: 25723 grad_norm: 0.8436 loss: 1.1370 grounding_loss_reg: 3.3956 detection_loss_cls: 0.0507 detection_loss_reg: 0.4404 caption_loss_cls: 2.4457 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8018 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:00:34 - mmengine - INFO - Iter(train) [209900/480000] base_lr: 1.2038e-04 lr: 3.2691e-05 eta: 7 days, 11:00:44 time: 2.5414 data_time: 0.1428 memory: 25723 grad_norm: 0.8432 loss: 1.1365 grounding_loss_reg: 3.3961 detection_loss_cls: 0.0508 detection_loss_reg: 0.4410 caption_loss_cls: 2.4435 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8001 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:04:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 06:04:23 - mmengine - INFO - Iter(train) [210000/480000] base_lr: 1.2031e-04 lr: 3.2674e-05 eta: 7 days, 10:50:02 time: 2.5457 data_time: 0.1429 memory: 26562 grad_norm: 0.8429 loss: 1.1361 grounding_loss_reg: 3.3957 detection_loss_cls: 0.0507 detection_loss_reg: 0.4408 caption_loss_cls: 2.4418 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8015 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:04:23 - mmengine - INFO - Saving checkpoint at 210000 iterations 2023/10/22 06:10:14 - mmengine - INFO - Evaluating bbox... 2023/10/22 06:11:19 - mmengine - INFO - bbox_mAP_copypaste: 0.486 0.663 0.530 0.317 0.538 0.632 2023/10/22 06:11:19 - mmengine - INFO - Evaluating segm... 2023/10/22 06:12:35 - mmengine - INFO - segm_mAP_copypaste: 0.313 0.570 0.302 0.172 0.359 0.485 2023/10/22 06:14:01 - mmengine - INFO - Evaluating bbox... 2023/10/22 06:15:06 - mmengine - INFO - bbox_mAP_copypaste: 0.488 0.666 0.532 0.322 0.541 0.634 2023/10/22 06:18:54 - mmengine - INFO - per class results: 2023/10/22 06:18:54 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.13 | 84.73 | | building | 80.7 | 91.14 | | sky | 93.2 | 97.63 | | floor | 81.33 | 89.62 | | tree | 73.07 | 84.33 | | ceiling | 83.85 | 94.4 | | road | 83.96 | 87.21 | | bed | 87.42 | 96.71 | | windowpane | 62.65 | 82.0 | | grass | 71.15 | 87.55 | | cabinet | 57.39 | 69.06 | | sidewalk | 64.66 | 80.46 | | person | 80.14 | 90.02 | | earth | 40.69 | 57.66 | | door | 51.01 | 63.5 | | table | 60.06 | 79.69 | | mountain | 64.2 | 70.12 | | plant | 52.41 | 70.76 | | curtain | 68.55 | 90.22 | | chair | 54.92 | 68.7 | | car | 82.36 | 92.36 | | water | 59.32 | 75.84 | | painting | 66.27 | 88.97 | | sofa | 68.0 | 80.43 | | shelf | 39.44 | 61.56 | | house | 42.26 | 67.94 | | sea | 61.95 | 85.37 | | mirror | 62.37 | 80.04 | | rug | 70.62 | 81.06 | | field | 24.34 | 27.52 | | armchair | 42.98 | 61.73 | | seat | 62.23 | 88.55 | | fence | 42.12 | 62.03 | | desk | 42.92 | 62.97 | | rock | 52.15 | 75.73 | | wardrobe | 50.25 | 70.19 | | lamp | 59.38 | 73.76 | | bathtub | 75.54 | 89.16 | | railing | 35.61 | 54.56 | | cushion | 46.51 | 52.44 | | base | 20.73 | 26.83 | | box | 28.28 | 36.78 | | column | 46.32 | 64.72 | | signboard | 35.65 | 55.68 | | chest of drawers | 42.76 | 63.93 | | counter | 34.48 | 49.26 | | sand | 51.57 | 83.37 | | sink | 70.71 | 79.5 | | skyscraper | 49.14 | 53.11 | | fireplace | 69.48 | 85.29 | | refrigerator | 67.47 | 80.91 | | grandstand | 38.99 | 65.55 | | path | 17.39 | 21.54 | | stairs | 25.64 | 30.55 | | runway | 74.02 | 93.48 | | case | 37.8 | 47.57 | | pool table | 86.42 | 96.32 | | pillow | 47.69 | 66.04 | | screen door | 60.1 | 66.41 | | stairway | 30.01 | 46.18 | | river | 19.85 | 23.68 | | bridge | 35.02 | 60.13 | | bookcase | 28.58 | 65.6 | | blind | 33.7 | 35.8 | | coffee table | 59.02 | 81.96 | | toilet | 82.81 | 91.31 | | flower | 31.98 | 53.87 | | book | 39.34 | 54.41 | | hill | 10.23 | 22.96 | | bench | 50.98 | 67.28 | | countertop | 49.75 | 80.32 | | stove | 63.02 | 73.39 | | palm | 48.19 | 63.06 | | kitchen island | 31.44 | 86.2 | | computer | 69.32 | 77.06 | | swivel chair | 43.56 | 59.01 | | boat | 46.45 | 56.36 | | bar | 36.86 | 43.71 | | arcade machine | 68.99 | 76.34 | | hovel | 40.59 | 59.97 | | bus | 91.01 | 94.58 | | towel | 60.1 | 75.77 | | light | 49.63 | 61.03 | | truck | 35.49 | 48.49 | | tower | 28.17 | 44.21 | | chandelier | 64.16 | 87.48 | | awning | 28.29 | 57.92 | | streetlight | 30.0 | 45.58 | | booth | 36.34 | 38.31 | | television receiver | 56.14 | 91.97 | | airplane | 58.01 | 67.41 | | dirt track | 0.0 | 0.0 | | apparel | 27.39 | 44.05 | | pole | 18.94 | 28.03 | | land | 0.01 | 0.01 | | bannister | 4.85 | 6.97 | | escalator | 22.09 | 22.88 | | ottoman | 42.71 | 72.56 | | bottle | 22.12 | 28.07 | | buffet | 36.54 | 45.07 | | poster | 18.44 | 31.62 | | stage | 9.66 | 13.53 | | van | 38.89 | 54.29 | | ship | 25.83 | 37.24 | | fountain | 24.97 | 26.8 | | conveyer belt | 71.12 | 82.19 | | canopy | 17.98 | 22.99 | | washer | 63.01 | 64.04 | | plaything | 31.06 | 61.62 | | swimming pool | 58.98 | 83.47 | | stool | 43.53 | 53.56 | | barrel | 32.73 | 65.04 | | basket | 32.0 | 61.35 | | waterfall | 51.42 | 95.69 | | tent | 92.1 | 97.13 | | bag | 19.76 | 23.51 | | minibike | 69.28 | 89.99 | | cradle | 65.71 | 93.17 | | oven | 14.04 | 14.48 | | ball | 40.76 | 51.15 | | food | 55.11 | 62.03 | | step | 6.5 | 8.71 | | tank | 42.82 | 51.49 | | trade name | 23.02 | 26.9 | | microwave | 87.17 | 91.63 | | pot | 41.25 | 49.91 | | animal | 59.71 | 62.5 | | bicycle | 57.54 | 79.51 | | lake | 0.0 | 0.0 | | dishwasher | 25.61 | 89.42 | | screen | 66.6 | 80.1 | | blanket | 4.73 | 4.98 | | sculpture | 51.02 | 85.22 | | hood | 48.28 | 64.1 | | sconce | 29.55 | 38.41 | | vase | 38.53 | 57.37 | | traffic light | 27.0 | 32.07 | | tray | 10.17 | 26.88 | | ashcan | 34.38 | 44.41 | | fan | 57.93 | 70.89 | | pier | 30.63 | 36.57 | | crt screen | 7.85 | 13.14 | | plate | 51.69 | 62.17 | | monitor | 23.02 | 25.64 | | bulletin board | 33.96 | 61.06 | | shower | 1.63 | 7.55 | | radiator | 54.51 | 67.11 | | glass | 14.7 | 15.83 | | clock | 31.31 | 35.24 | | flag | 58.82 | 63.07 | +---------------------+-------+-------+ 2023/10/22 06:19:18 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.3187 data_time: 0.0209 memory: 27842 2023/10/22 06:19:41 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.4880 coco/bbox_mAP_50: 0.6660 coco/bbox_mAP_75: 0.5320 coco/bbox_mAP_s: 0.3220 coco/bbox_mAP_m: 0.5410 coco/bbox_mAP_l: 0.6340 coco/segm_mAP: 0.3130 coco/segm_mAP_50: 0.5700 coco/segm_mAP_75: 0.3020 coco/segm_mAP_s: 0.1720 coco/segm_mAP_m: 0.3590 coco/segm_mAP_l: 0.4850 Bleu_1: 0.7430 Bleu_2: 0.5684 Bleu_3: 0.4244 Bleu_4: 0.3132 METEOR: 0.2624 ROUGE_L: 0.5468 CIDEr: 1.0339 SPICE: 0.1921 aAcc: 82.3900 mIoU: 46.0500 mAcc: 60.0700 visual-grounding/miou: 0.7025 visual-grounding/acc: 0.7881 data_time: 0.0015 time: 0.2302 2023/10/22 06:23:34 - mmengine - INFO - Iter(train) [210100/480000] base_lr: 1.2025e-04 lr: 3.2658e-05 eta: 7 days, 10:46:44 time: 2.5388 data_time: 0.1283 memory: 26562 grad_norm: 0.8441 loss: 1.1323 grounding_loss_reg: 3.3956 detection_loss_cls: 0.0506 detection_loss_reg: 0.4396 caption_loss_cls: 2.4449 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8001 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:27:47 - mmengine - INFO - Iter(train) [210200/480000] base_lr: 1.2019e-04 lr: 3.2641e-05 eta: 7 days, 10:53:22 time: 2.5477 data_time: 0.1283 memory: 26562 grad_norm: 0.8418 loss: 1.1350 grounding_loss_reg: 3.3959 detection_loss_cls: 0.0506 detection_loss_reg: 0.4386 caption_loss_cls: 2.4470 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.7995 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:32:08 - mmengine - INFO - Iter(train) [210300/480000] base_lr: 1.2012e-04 lr: 3.2625e-05 eta: 7 days, 11:05:08 time: 2.5550 data_time: 0.1283 memory: 25723 grad_norm: 0.8397 loss: 1.1349 grounding_loss_reg: 3.3977 detection_loss_cls: 0.0505 detection_loss_reg: 0.4388 caption_loss_cls: 2.4483 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.7955 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:35:44 - mmengine - INFO - Iter(train) [210400/480000] base_lr: 1.2006e-04 lr: 3.2608e-05 eta: 7 days, 10:44:54 time: 2.5570 data_time: 0.1283 memory: 26562 grad_norm: 0.8329 loss: 1.1287 grounding_loss_reg: 3.3968 detection_loss_cls: 0.0504 detection_loss_reg: 0.4394 caption_loss_cls: 2.4464 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.7960 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:39:58 - mmengine - INFO - Iter(train) [210500/480000] base_lr: 1.2000e-04 lr: 3.2592e-05 eta: 7 days, 10:52:00 time: 2.5636 data_time: 0.1284 memory: 25723 grad_norm: 0.8321 loss: 1.1268 grounding_loss_reg: 3.3973 detection_loss_cls: 0.0504 detection_loss_reg: 0.4397 caption_loss_cls: 2.4423 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.7960 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:39:58 - mmengine - INFO - Saving checkpoint at 210500 iterations 2023/10/22 06:44:59 - mmengine - INFO - Iter(train) [210600/480000] base_lr: 1.1993e-04 lr: 3.2575e-05 eta: 7 days, 11:29:58 time: 2.5656 data_time: 0.1301 memory: 26562 grad_norm: 0.8317 loss: 1.1197 grounding_loss_reg: 3.3957 detection_loss_cls: 0.0504 detection_loss_reg: 0.4391 caption_loss_cls: 2.4402 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.7951 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:48:49 - mmengine - INFO - Iter(train) [210700/480000] base_lr: 1.1987e-04 lr: 3.2559e-05 eta: 7 days, 11:19:29 time: 2.5594 data_time: 0.1301 memory: 25723 grad_norm: 0.8327 loss: 1.1185 grounding_loss_reg: 3.3937 detection_loss_cls: 0.0502 detection_loss_reg: 0.4388 caption_loss_cls: 2.4403 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.7962 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:52:33 - mmengine - INFO - Iter(train) [210800/480000] base_lr: 1.1981e-04 lr: 3.2542e-05 eta: 7 days, 11:05:15 time: 2.5606 data_time: 0.1301 memory: 25723 grad_norm: 0.8252 loss: 1.1145 grounding_loss_reg: 3.3931 detection_loss_cls: 0.0501 detection_loss_reg: 0.4374 caption_loss_cls: 2.4440 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.7968 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:56:14 - mmengine - INFO - Iter(train) [210900/480000] base_lr: 1.1974e-04 lr: 3.2526e-05 eta: 7 days, 10:48:49 time: 2.5577 data_time: 0.1301 memory: 25723 grad_norm: 0.8283 loss: 1.1213 grounding_loss_reg: 3.3920 detection_loss_cls: 0.0503 detection_loss_reg: 0.4377 caption_loss_cls: 2.4449 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.7970 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:59:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 06:59:42 - mmengine - INFO - Iter(train) [211000/480000] base_lr: 1.1968e-04 lr: 3.2509e-05 eta: 7 days, 10:24:39 time: 2.5481 data_time: 0.1301 memory: 26562 grad_norm: 0.8311 loss: 1.1243 grounding_loss_reg: 3.3918 detection_loss_cls: 0.0503 detection_loss_reg: 0.4379 caption_loss_cls: 2.4417 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.7977 semantic_segmentation_loss_cls: 0.0127 2023/10/22 06:59:42 - mmengine - INFO - Saving checkpoint at 211000 iterations 2023/10/22 07:04:30 - mmengine - INFO - Iter(train) [211100/480000] base_lr: 1.1962e-04 lr: 3.2493e-05 eta: 7 days, 10:51:49 time: 2.5445 data_time: 0.1308 memory: 26562 grad_norm: 0.8346 loss: 1.1256 grounding_loss_reg: 3.3890 detection_loss_cls: 0.0499 detection_loss_reg: 0.4362 caption_loss_cls: 2.4411 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.7985 semantic_segmentation_loss_cls: 0.0127 2023/10/22 07:08:18 - mmengine - INFO - Iter(train) [211200/480000] base_lr: 1.1955e-04 lr: 3.2476e-05 eta: 7 days, 10:40:38 time: 2.5456 data_time: 0.1309 memory: 25723 grad_norm: 0.8315 loss: 1.1258 grounding_loss_reg: 3.3879 detection_loss_cls: 0.0498 detection_loss_reg: 0.4357 caption_loss_cls: 2.4447 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.7971 semantic_segmentation_loss_cls: 0.0127 2023/10/22 07:12:32 - mmengine - INFO - Iter(train) [211300/480000] base_lr: 1.1949e-04 lr: 3.2460e-05 eta: 7 days, 10:45:45 time: 2.5424 data_time: 0.1309 memory: 26562 grad_norm: 0.8315 loss: 1.1281 grounding_loss_reg: 3.3866 detection_loss_cls: 0.0498 detection_loss_reg: 0.4369 caption_loss_cls: 2.4463 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.7963 semantic_segmentation_loss_cls: 0.0127 2023/10/22 07:16:22 - mmengine - INFO - Iter(train) [211400/480000] base_lr: 1.1942e-04 lr: 3.2443e-05 eta: 7 days, 10:36:01 time: 2.5464 data_time: 0.1309 memory: 26562 grad_norm: 0.8309 loss: 1.1291 grounding_loss_reg: 3.3855 detection_loss_cls: 0.0498 detection_loss_reg: 0.4368 caption_loss_cls: 2.4437 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3090 instance_segmentation_loss_poly: 0.7989 semantic_segmentation_loss_cls: 0.0127 2023/10/22 07:20:38 - mmengine - INFO - Iter(train) [211500/480000] base_lr: 1.1936e-04 lr: 3.2427e-05 eta: 7 days, 10:41:50 time: 2.5485 data_time: 0.1309 memory: 25723 grad_norm: 0.8306 loss: 1.1253 grounding_loss_reg: 3.3841 detection_loss_cls: 0.0497 detection_loss_reg: 0.4363 caption_loss_cls: 2.4416 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.3093 instance_segmentation_loss_poly: 0.7996 semantic_segmentation_loss_cls: 0.0127 2023/10/22 07:20:38 - mmengine - INFO - Saving checkpoint at 211500 iterations 2023/10/22 07:25:25 - mmengine - INFO - Iter(train) [211600/480000] base_lr: 1.1930e-04 lr: 3.2410e-05 eta: 7 days, 11:06:03 time: 2.5485 data_time: 0.1314 memory: 25723 grad_norm: 0.8284 loss: 1.1231 grounding_loss_reg: 3.3828 detection_loss_cls: 0.0498 detection_loss_reg: 0.4367 caption_loss_cls: 2.4441 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8012 semantic_segmentation_loss_cls: 0.0123 2023/10/22 07:29:13 - mmengine - INFO - Iter(train) [211700/480000] base_lr: 1.1923e-04 lr: 3.2394e-05 eta: 7 days, 10:54:45 time: 2.5381 data_time: 0.1314 memory: 26562 grad_norm: 0.8332 loss: 1.1232 grounding_loss_reg: 3.3806 detection_loss_cls: 0.0498 detection_loss_reg: 0.4367 caption_loss_cls: 2.4430 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3106 instance_segmentation_loss_poly: 0.8019 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:33:17 - mmengine - INFO - Iter(train) [211800/480000] base_lr: 1.1917e-04 lr: 3.2377e-05 eta: 7 days, 10:52:47 time: 2.5350 data_time: 0.1314 memory: 26562 grad_norm: 0.8394 loss: 1.1286 grounding_loss_reg: 3.3810 detection_loss_cls: 0.0498 detection_loss_reg: 0.4367 caption_loss_cls: 2.4450 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 0.8019 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:37:12 - mmengine - INFO - Iter(train) [211900/480000] base_lr: 1.1911e-04 lr: 3.2361e-05 eta: 7 days, 10:45:51 time: 2.5368 data_time: 0.1314 memory: 26562 grad_norm: 0.8411 loss: 1.1290 grounding_loss_reg: 3.3787 detection_loss_cls: 0.0499 detection_loss_reg: 0.4371 caption_loss_cls: 2.4442 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3105 instance_segmentation_loss_poly: 0.8008 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:40:59 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 07:40:59 - mmengine - INFO - Iter(train) [212000/480000] base_lr: 1.1904e-04 lr: 3.2344e-05 eta: 7 days, 10:34:55 time: 2.5305 data_time: 0.1314 memory: 26562 grad_norm: 0.8376 loss: 1.1269 grounding_loss_reg: 3.3788 detection_loss_cls: 0.0498 detection_loss_reg: 0.4370 caption_loss_cls: 2.4442 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 0.8007 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:40:59 - mmengine - INFO - Saving checkpoint at 212000 iterations 2023/10/22 07:46:21 - mmengine - INFO - Iter(train) [212100/480000] base_lr: 1.1898e-04 lr: 3.2328e-05 eta: 7 days, 11:16:00 time: 2.5332 data_time: 0.1320 memory: 26562 grad_norm: 0.8364 loss: 1.1307 grounding_loss_reg: 3.3787 detection_loss_cls: 0.0498 detection_loss_reg: 0.4370 caption_loss_cls: 2.4413 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8003 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:50:21 - mmengine - INFO - Iter(train) [212200/480000] base_lr: 1.1891e-04 lr: 3.2311e-05 eta: 7 days, 11:11:26 time: 2.5292 data_time: 0.1320 memory: 25723 grad_norm: 0.8383 loss: 1.1317 grounding_loss_reg: 3.3784 detection_loss_cls: 0.0499 detection_loss_reg: 0.4373 caption_loss_cls: 2.4384 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.7999 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:54:46 - mmengine - INFO - Iter(train) [212300/480000] base_lr: 1.1885e-04 lr: 3.2295e-05 eta: 7 days, 11:20:09 time: 2.5404 data_time: 0.1321 memory: 26562 grad_norm: 0.8387 loss: 1.1320 grounding_loss_reg: 3.3773 detection_loss_cls: 0.0501 detection_loss_reg: 0.4390 caption_loss_cls: 2.4349 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3101 instance_segmentation_loss_poly: 0.8003 semantic_segmentation_loss_cls: 0.0122 2023/10/22 07:58:45 - mmengine - INFO - Iter(train) [212400/480000] base_lr: 1.1879e-04 lr: 3.2278e-05 eta: 7 days, 11:15:13 time: 2.5391 data_time: 0.1321 memory: 26562 grad_norm: 0.8384 loss: 1.1315 grounding_loss_reg: 3.3775 detection_loss_cls: 0.0501 detection_loss_reg: 0.4388 caption_loss_cls: 2.4320 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3101 instance_segmentation_loss_poly: 0.8005 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:02:25 - mmengine - INFO - Iter(train) [212500/480000] base_lr: 1.1872e-04 lr: 3.2262e-05 eta: 7 days, 10:59:51 time: 2.5325 data_time: 0.1321 memory: 25723 grad_norm: 0.8397 loss: 1.1309 grounding_loss_reg: 3.3766 detection_loss_cls: 0.0500 detection_loss_reg: 0.4374 caption_loss_cls: 2.4298 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.7967 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:02:25 - mmengine - INFO - Saving checkpoint at 212500 iterations 2023/10/22 08:07:27 - mmengine - INFO - Iter(train) [212600/480000] base_lr: 1.1866e-04 lr: 3.2245e-05 eta: 7 days, 11:27:54 time: 2.5299 data_time: 0.1323 memory: 26562 grad_norm: 0.8383 loss: 1.1254 grounding_loss_reg: 3.3762 detection_loss_cls: 0.0499 detection_loss_reg: 0.4370 caption_loss_cls: 2.4254 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.7954 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:11:09 - mmengine - INFO - Iter(train) [212700/480000] base_lr: 1.1860e-04 lr: 3.2229e-05 eta: 7 days, 11:13:46 time: 2.5222 data_time: 0.1322 memory: 26562 grad_norm: 0.8394 loss: 1.1260 grounding_loss_reg: 3.3752 detection_loss_cls: 0.0500 detection_loss_reg: 0.4374 caption_loss_cls: 2.4264 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.7954 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:14:46 - mmengine - INFO - Iter(train) [212800/480000] base_lr: 1.1853e-04 lr: 3.2212e-05 eta: 7 days, 10:57:22 time: 2.5094 data_time: 0.1322 memory: 25723 grad_norm: 0.8461 loss: 1.1336 grounding_loss_reg: 3.3741 detection_loss_cls: 0.0500 detection_loss_reg: 0.4369 caption_loss_cls: 2.4294 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.7972 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:18:51 - mmengine - INFO - Iter(train) [212900/480000] base_lr: 1.1847e-04 lr: 3.2195e-05 eta: 7 days, 10:55:04 time: 2.5145 data_time: 0.1321 memory: 26562 grad_norm: 0.8461 loss: 1.1289 grounding_loss_reg: 3.3749 detection_loss_cls: 0.0495 detection_loss_reg: 0.4353 caption_loss_cls: 2.4253 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.7957 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:22:55 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 08:22:55 - mmengine - INFO - Iter(train) [213000/480000] base_lr: 1.1840e-04 lr: 3.2179e-05 eta: 7 days, 10:52:19 time: 2.5218 data_time: 0.1322 memory: 25723 grad_norm: 0.8404 loss: 1.1198 grounding_loss_reg: 3.3742 detection_loss_cls: 0.0495 detection_loss_reg: 0.4350 caption_loss_cls: 2.4233 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.7965 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:22:55 - mmengine - INFO - Saving checkpoint at 213000 iterations 2023/10/22 08:27:51 - mmengine - INFO - Iter(train) [213100/480000] base_lr: 1.1834e-04 lr: 3.2162e-05 eta: 7 days, 11:15:21 time: 2.5147 data_time: 0.1323 memory: 25723 grad_norm: 0.8382 loss: 1.1134 grounding_loss_reg: 3.3739 detection_loss_cls: 0.0496 detection_loss_reg: 0.4353 caption_loss_cls: 2.4212 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.7948 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:31:44 - mmengine - INFO - Iter(train) [213200/480000] base_lr: 1.1828e-04 lr: 3.2146e-05 eta: 7 days, 11:06:44 time: 2.5071 data_time: 0.1323 memory: 25723 grad_norm: 0.8335 loss: 1.1084 grounding_loss_reg: 3.3733 detection_loss_cls: 0.0495 detection_loss_reg: 0.4356 caption_loss_cls: 2.4174 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3049 instance_segmentation_loss_poly: 0.7941 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:35:20 - mmengine - INFO - Iter(train) [213300/480000] base_lr: 1.1821e-04 lr: 3.2129e-05 eta: 7 days, 10:50:31 time: 2.4955 data_time: 0.1322 memory: 25723 grad_norm: 0.8368 loss: 1.1158 grounding_loss_reg: 3.3726 detection_loss_cls: 0.0496 detection_loss_reg: 0.4361 caption_loss_cls: 2.4203 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3044 instance_segmentation_loss_poly: 0.7932 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:39:13 - mmengine - INFO - Iter(train) [213400/480000] base_lr: 1.1815e-04 lr: 3.2113e-05 eta: 7 days, 10:42:47 time: 2.4950 data_time: 0.1323 memory: 26562 grad_norm: 0.8334 loss: 1.1202 grounding_loss_reg: 3.3723 detection_loss_cls: 0.0496 detection_loss_reg: 0.4363 caption_loss_cls: 2.4207 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.7949 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:42:59 - mmengine - INFO - Iter(train) [213500/480000] base_lr: 1.1809e-04 lr: 3.2096e-05 eta: 7 days, 10:31:19 time: 2.4827 data_time: 0.1322 memory: 25723 grad_norm: 0.8359 loss: 1.1218 grounding_loss_reg: 3.3715 detection_loss_cls: 0.0496 detection_loss_reg: 0.4359 caption_loss_cls: 2.4226 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.7968 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:42:59 - mmengine - INFO - Saving checkpoint at 213500 iterations 2023/10/22 08:48:06 - mmengine - INFO - Iter(train) [213600/480000] base_lr: 1.1802e-04 lr: 3.2080e-05 eta: 7 days, 10:57:48 time: 2.4775 data_time: 0.1326 memory: 25723 grad_norm: 0.8381 loss: 1.1300 grounding_loss_reg: 3.3708 detection_loss_cls: 0.0495 detection_loss_reg: 0.4356 caption_loss_cls: 2.4259 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.7977 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:51:57 - mmengine - INFO - Iter(train) [213700/480000] base_lr: 1.1796e-04 lr: 3.2063e-05 eta: 7 days, 10:48:40 time: 2.4736 data_time: 0.1326 memory: 25723 grad_norm: 0.8391 loss: 1.1249 grounding_loss_reg: 3.3701 detection_loss_cls: 0.0496 detection_loss_reg: 0.4360 caption_loss_cls: 2.4259 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.7963 semantic_segmentation_loss_cls: 0.0122 2023/10/22 08:56:16 - mmengine - INFO - Iter(train) [213800/480000] base_lr: 1.1789e-04 lr: 3.2047e-05 eta: 7 days, 10:52:42 time: 2.4747 data_time: 0.1326 memory: 26562 grad_norm: 0.8403 loss: 1.1293 grounding_loss_reg: 3.3708 detection_loss_cls: 0.0493 detection_loss_reg: 0.4352 caption_loss_cls: 2.4278 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.7964 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:00:08 - mmengine - INFO - Iter(train) [213900/480000] base_lr: 1.1783e-04 lr: 3.2030e-05 eta: 7 days, 10:44:03 time: 2.4654 data_time: 0.1324 memory: 26562 grad_norm: 0.8402 loss: 1.1267 grounding_loss_reg: 3.3696 detection_loss_cls: 0.0494 detection_loss_reg: 0.4350 caption_loss_cls: 2.4263 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.7960 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:03:57 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 09:03:57 - mmengine - INFO - Iter(train) [214000/480000] base_lr: 1.1777e-04 lr: 3.2013e-05 eta: 7 days, 10:34:19 time: 2.4652 data_time: 0.1322 memory: 25723 grad_norm: 0.8435 loss: 1.1274 grounding_loss_reg: 3.3682 detection_loss_cls: 0.0494 detection_loss_reg: 0.4352 caption_loss_cls: 2.4264 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3045 instance_segmentation_loss_poly: 0.7952 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:03:57 - mmengine - INFO - Saving checkpoint at 214000 iterations 2023/10/22 09:09:23 - mmengine - INFO - Iter(train) [214100/480000] base_lr: 1.1770e-04 lr: 3.1997e-05 eta: 7 days, 11:07:11 time: 2.4868 data_time: 0.1467 memory: 26562 grad_norm: 0.8440 loss: 1.1324 grounding_loss_reg: 3.3686 detection_loss_cls: 0.0496 detection_loss_reg: 0.4360 caption_loss_cls: 2.4258 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.7943 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:13:34 - mmengine - INFO - Iter(train) [214200/480000] base_lr: 1.1764e-04 lr: 3.1980e-05 eta: 7 days, 11:06:48 time: 2.4863 data_time: 0.1467 memory: 25723 grad_norm: 0.8420 loss: 1.1321 grounding_loss_reg: 3.3682 detection_loss_cls: 0.0496 detection_loss_reg: 0.4369 caption_loss_cls: 2.4308 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.7929 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:17:37 - mmengine - INFO - Iter(train) [214300/480000] base_lr: 1.1757e-04 lr: 3.1964e-05 eta: 7 days, 11:03:16 time: 2.4820 data_time: 0.1467 memory: 26562 grad_norm: 0.8414 loss: 1.1298 grounding_loss_reg: 3.3687 detection_loss_cls: 0.0497 detection_loss_reg: 0.4367 caption_loss_cls: 2.4290 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.7937 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:20:33 - mmengine - INFO - Iter(train) [214400/480000] base_lr: 1.1751e-04 lr: 3.1947e-05 eta: 7 days, 10:30:51 time: 2.4721 data_time: 0.1466 memory: 25723 grad_norm: 0.8479 loss: 1.1402 grounding_loss_reg: 3.3676 detection_loss_cls: 0.0496 detection_loss_reg: 0.4370 caption_loss_cls: 2.4355 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.7942 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:24:40 - mmengine - INFO - Iter(train) [214500/480000] base_lr: 1.1745e-04 lr: 3.1931e-05 eta: 7 days, 10:28:35 time: 2.4699 data_time: 0.1465 memory: 25723 grad_norm: 0.8490 loss: 1.1409 grounding_loss_reg: 3.3674 detection_loss_cls: 0.0496 detection_loss_reg: 0.4375 caption_loss_cls: 2.4331 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.7923 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:24:40 - mmengine - INFO - Saving checkpoint at 214500 iterations 2023/10/22 09:29:22 - mmengine - INFO - Iter(train) [214600/480000] base_lr: 1.1738e-04 lr: 3.1914e-05 eta: 7 days, 10:41:15 time: 2.4653 data_time: 0.1446 memory: 26562 grad_norm: 0.8513 loss: 1.1492 grounding_loss_reg: 3.3645 detection_loss_cls: 0.0495 detection_loss_reg: 0.4368 caption_loss_cls: 2.4363 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.7931 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:33:01 - mmengine - INFO - Iter(train) [214700/480000] base_lr: 1.1732e-04 lr: 3.1898e-05 eta: 7 days, 10:27:39 time: 2.4625 data_time: 0.1446 memory: 26562 grad_norm: 0.8513 loss: 1.1488 grounding_loss_reg: 3.3644 detection_loss_cls: 0.0495 detection_loss_reg: 0.4364 caption_loss_cls: 2.4367 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.7899 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:36:41 - mmengine - INFO - Iter(train) [214800/480000] base_lr: 1.1726e-04 lr: 3.1881e-05 eta: 7 days, 10:14:34 time: 2.4615 data_time: 0.1446 memory: 26562 grad_norm: 0.8560 loss: 1.1482 grounding_loss_reg: 3.3632 detection_loss_cls: 0.0495 detection_loss_reg: 0.4376 caption_loss_cls: 2.4331 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.7903 semantic_segmentation_loss_cls: 0.0120 2023/10/22 09:40:42 - mmengine - INFO - Iter(train) [214900/480000] base_lr: 1.1719e-04 lr: 3.1864e-05 eta: 7 days, 10:10:13 time: 2.4667 data_time: 0.1445 memory: 26562 grad_norm: 0.8540 loss: 1.1424 grounding_loss_reg: 3.3630 detection_loss_cls: 0.0495 detection_loss_reg: 0.4385 caption_loss_cls: 2.4304 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.7895 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:44:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 09:44:37 - mmengine - INFO - Iter(train) [215000/480000] base_lr: 1.1713e-04 lr: 3.1848e-05 eta: 7 days, 10:03:14 time: 2.4734 data_time: 0.1445 memory: 26562 grad_norm: 0.8492 loss: 1.1318 grounding_loss_reg: 3.3609 detection_loss_cls: 0.0494 detection_loss_reg: 0.4384 caption_loss_cls: 2.4300 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.7890 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:44:37 - mmengine - INFO - Saving checkpoint at 215000 iterations 2023/10/22 09:49:53 - mmengine - INFO - Iter(train) [215100/480000] base_lr: 1.1706e-04 lr: 3.1831e-05 eta: 7 days, 10:28:48 time: 2.4805 data_time: 0.1441 memory: 25723 grad_norm: 0.8443 loss: 1.1289 grounding_loss_reg: 3.3610 detection_loss_cls: 0.0493 detection_loss_reg: 0.4379 caption_loss_cls: 2.4298 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.7885 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:53:47 - mmengine - INFO - Iter(train) [215200/480000] base_lr: 1.1700e-04 lr: 3.1815e-05 eta: 7 days, 10:21:02 time: 2.4818 data_time: 0.1440 memory: 26562 grad_norm: 0.8460 loss: 1.1323 grounding_loss_reg: 3.3601 detection_loss_cls: 0.0493 detection_loss_reg: 0.4371 caption_loss_cls: 2.4339 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.7882 semantic_segmentation_loss_cls: 0.0121 2023/10/22 09:57:44 - mmengine - INFO - Iter(train) [215300/480000] base_lr: 1.1694e-04 lr: 3.1798e-05 eta: 7 days, 10:14:58 time: 2.4776 data_time: 0.1440 memory: 25723 grad_norm: 0.8472 loss: 1.1313 grounding_loss_reg: 3.3590 detection_loss_cls: 0.0493 detection_loss_reg: 0.4372 caption_loss_cls: 2.4333 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3020 instance_segmentation_loss_poly: 0.7899 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:01:32 - mmengine - INFO - Iter(train) [215400/480000] base_lr: 1.1687e-04 lr: 3.1782e-05 eta: 7 days, 10:05:21 time: 2.4771 data_time: 0.1439 memory: 26562 grad_norm: 0.8456 loss: 1.1285 grounding_loss_reg: 3.3587 detection_loss_cls: 0.0493 detection_loss_reg: 0.4375 caption_loss_cls: 2.4353 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.7905 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:05:37 - mmengine - INFO - Iter(train) [215500/480000] base_lr: 1.1681e-04 lr: 3.1765e-05 eta: 7 days, 10:02:25 time: 2.4744 data_time: 0.1439 memory: 25723 grad_norm: 0.8437 loss: 1.1305 grounding_loss_reg: 3.3585 detection_loss_cls: 0.0492 detection_loss_reg: 0.4366 caption_loss_cls: 2.4355 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.7914 semantic_segmentation_loss_cls: 0.0120 2023/10/22 10:05:37 - mmengine - INFO - Saving checkpoint at 215500 iterations 2023/10/22 10:10:32 - mmengine - INFO - Iter(train) [215600/480000] base_lr: 1.1674e-04 lr: 3.1748e-05 eta: 7 days, 10:18:14 time: 2.4762 data_time: 0.1441 memory: 26562 grad_norm: 0.8448 loss: 1.1300 grounding_loss_reg: 3.3590 detection_loss_cls: 0.0493 detection_loss_reg: 0.4363 caption_loss_cls: 2.4401 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.7915 semantic_segmentation_loss_cls: 0.0120 2023/10/22 10:14:49 - mmengine - INFO - Iter(train) [215700/480000] base_lr: 1.1668e-04 lr: 3.1732e-05 eta: 7 days, 10:19:35 time: 2.4835 data_time: 0.1442 memory: 25723 grad_norm: 0.8441 loss: 1.1306 grounding_loss_reg: 3.3586 detection_loss_cls: 0.0493 detection_loss_reg: 0.4362 caption_loss_cls: 2.4377 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 0.7922 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:19:17 - mmengine - INFO - Iter(train) [215800/480000] base_lr: 1.1662e-04 lr: 3.1715e-05 eta: 7 days, 10:24:47 time: 2.4896 data_time: 0.1443 memory: 26562 grad_norm: 0.8397 loss: 1.1294 grounding_loss_reg: 3.3576 detection_loss_cls: 0.0492 detection_loss_reg: 0.4354 caption_loss_cls: 2.4362 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.7926 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:23:09 - mmengine - INFO - Iter(train) [215900/480000] base_lr: 1.1655e-04 lr: 3.1699e-05 eta: 7 days, 10:16:39 time: 2.4888 data_time: 0.1443 memory: 25723 grad_norm: 0.8386 loss: 1.1258 grounding_loss_reg: 3.3579 detection_loss_cls: 0.0491 detection_loss_reg: 0.4347 caption_loss_cls: 2.4327 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.7904 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:26:26 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 10:26:26 - mmengine - INFO - Iter(train) [216000/480000] base_lr: 1.1649e-04 lr: 3.1682e-05 eta: 7 days, 9:55:58 time: 2.4813 data_time: 0.1442 memory: 26562 grad_norm: 0.8498 loss: 1.1336 grounding_loss_reg: 3.3586 detection_loss_cls: 0.0492 detection_loss_reg: 0.4348 caption_loss_cls: 2.4298 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.7902 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:26:26 - mmengine - INFO - Saving checkpoint at 216000 iterations 2023/10/22 10:31:29 - mmengine - INFO - Iter(train) [216100/480000] base_lr: 1.1642e-04 lr: 3.1665e-05 eta: 7 days, 10:13:50 time: 2.4767 data_time: 0.1440 memory: 26562 grad_norm: 0.8487 loss: 1.1311 grounding_loss_reg: 3.3586 detection_loss_cls: 0.0492 detection_loss_reg: 0.4343 caption_loss_cls: 2.4330 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.7891 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:35:18 - mmengine - INFO - Iter(train) [216200/480000] base_lr: 1.1636e-04 lr: 3.1649e-05 eta: 7 days, 10:04:33 time: 2.4738 data_time: 0.1440 memory: 26562 grad_norm: 0.8517 loss: 1.1364 grounding_loss_reg: 3.3589 detection_loss_cls: 0.0492 detection_loss_reg: 0.4346 caption_loss_cls: 2.4321 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.7891 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:39:06 - mmengine - INFO - Iter(train) [216300/480000] base_lr: 1.1630e-04 lr: 3.1632e-05 eta: 7 days, 9:54:58 time: 2.4646 data_time: 0.1440 memory: 26562 grad_norm: 0.8507 loss: 1.1341 grounding_loss_reg: 3.3584 detection_loss_cls: 0.0494 detection_loss_reg: 0.4357 caption_loss_cls: 2.4306 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.7895 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:43:12 - mmengine - INFO - Iter(train) [216400/480000] base_lr: 1.1623e-04 lr: 3.1616e-05 eta: 7 days, 9:52:11 time: 2.4663 data_time: 0.1440 memory: 26562 grad_norm: 0.8508 loss: 1.1384 grounding_loss_reg: 3.3587 detection_loss_cls: 0.0493 detection_loss_reg: 0.4356 caption_loss_cls: 2.4335 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.7921 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:47:30 - mmengine - INFO - Iter(train) [216500/480000] base_lr: 1.1617e-04 lr: 3.1599e-05 eta: 7 days, 9:53:31 time: 2.4760 data_time: 0.1440 memory: 26562 grad_norm: 0.8475 loss: 1.1364 grounding_loss_reg: 3.3586 detection_loss_cls: 0.0493 detection_loss_reg: 0.4361 caption_loss_cls: 2.4300 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.7899 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:47:30 - mmengine - INFO - Saving checkpoint at 216500 iterations 2023/10/22 10:52:33 - mmengine - INFO - Iter(train) [216600/480000] base_lr: 1.1610e-04 lr: 3.1582e-05 eta: 7 days, 10:10:06 time: 2.4759 data_time: 0.1439 memory: 25723 grad_norm: 0.8547 loss: 1.1442 grounding_loss_reg: 3.3584 detection_loss_cls: 0.0495 detection_loss_reg: 0.4365 caption_loss_cls: 2.4260 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.7894 semantic_segmentation_loss_cls: 0.0121 2023/10/22 10:56:28 - mmengine - INFO - Iter(train) [216700/480000] base_lr: 1.1604e-04 lr: 3.1566e-05 eta: 7 days, 10:03:12 time: 2.4792 data_time: 0.1439 memory: 25723 grad_norm: 0.8581 loss: 1.1507 grounding_loss_reg: 3.3582 detection_loss_cls: 0.0497 detection_loss_reg: 0.4377 caption_loss_cls: 2.4283 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.7880 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:01:32 - mmengine - INFO - Iter(train) [216800/480000] base_lr: 1.1598e-04 lr: 3.1549e-05 eta: 7 days, 10:20:00 time: 2.5011 data_time: 0.1440 memory: 26562 grad_norm: 0.8455 loss: 1.1364 grounding_loss_reg: 3.3584 detection_loss_cls: 0.0497 detection_loss_reg: 0.4380 caption_loss_cls: 2.4293 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7847 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:05:30 - mmengine - INFO - Iter(train) [216900/480000] base_lr: 1.1591e-04 lr: 3.1533e-05 eta: 7 days, 10:13:50 time: 2.4994 data_time: 0.1441 memory: 26562 grad_norm: 0.8423 loss: 1.1348 grounding_loss_reg: 3.3587 detection_loss_cls: 0.0496 detection_loss_reg: 0.4368 caption_loss_cls: 2.4270 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7837 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:09:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 11:09:18 - mmengine - INFO - Iter(train) [217000/480000] base_lr: 1.1585e-04 lr: 3.1516e-05 eta: 7 days, 10:04:26 time: 2.4955 data_time: 0.1441 memory: 25723 grad_norm: 0.8447 loss: 1.1385 grounding_loss_reg: 3.3570 detection_loss_cls: 0.0495 detection_loss_reg: 0.4374 caption_loss_cls: 2.4267 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7858 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:09:18 - mmengine - INFO - Saving checkpoint at 217000 iterations 2023/10/22 11:14:37 - mmengine - INFO - Iter(train) [217100/480000] base_lr: 1.1578e-04 lr: 3.1499e-05 eta: 7 days, 10:25:35 time: 2.5011 data_time: 0.1445 memory: 26562 grad_norm: 0.8478 loss: 1.1421 grounding_loss_reg: 3.3538 detection_loss_cls: 0.0495 detection_loss_reg: 0.4376 caption_loss_cls: 2.4247 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7845 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:18:21 - mmengine - INFO - Iter(train) [217200/480000] base_lr: 1.1572e-04 lr: 3.1483e-05 eta: 7 days, 10:14:30 time: 2.4988 data_time: 0.1446 memory: 25723 grad_norm: 0.8522 loss: 1.1505 grounding_loss_reg: 3.3527 detection_loss_cls: 0.0494 detection_loss_reg: 0.4370 caption_loss_cls: 2.4277 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.7865 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:22:06 - mmengine - INFO - Iter(train) [217300/480000] base_lr: 1.1566e-04 lr: 3.1466e-05 eta: 7 days, 10:04:08 time: 2.5011 data_time: 0.1446 memory: 26562 grad_norm: 0.8519 loss: 1.1507 grounding_loss_reg: 3.3521 detection_loss_cls: 0.0494 detection_loss_reg: 0.4358 caption_loss_cls: 2.4285 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.7868 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:26:18 - mmengine - INFO - Iter(train) [217400/480000] base_lr: 1.1559e-04 lr: 3.1450e-05 eta: 7 days, 10:02:43 time: 2.5057 data_time: 0.1446 memory: 26562 grad_norm: 0.8519 loss: 1.1461 grounding_loss_reg: 3.3524 detection_loss_cls: 0.0493 detection_loss_reg: 0.4357 caption_loss_cls: 2.4257 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7866 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:30:01 - mmengine - INFO - Iter(train) [217500/480000] base_lr: 1.1553e-04 lr: 3.1433e-05 eta: 7 days, 9:51:47 time: 2.5051 data_time: 0.1446 memory: 25723 grad_norm: 0.8529 loss: 1.1432 grounding_loss_reg: 3.3509 detection_loss_cls: 0.0494 detection_loss_reg: 0.4360 caption_loss_cls: 2.4199 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7858 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:30:01 - mmengine - INFO - Saving checkpoint at 217500 iterations 2023/10/22 11:35:00 - mmengine - INFO - Iter(train) [217600/480000] base_lr: 1.1546e-04 lr: 3.1416e-05 eta: 7 days, 10:05:33 time: 2.5031 data_time: 0.1446 memory: 25723 grad_norm: 0.8567 loss: 1.1410 grounding_loss_reg: 3.3497 detection_loss_cls: 0.0491 detection_loss_reg: 0.4346 caption_loss_cls: 2.4172 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7854 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:38:46 - mmengine - INFO - Iter(train) [217700/480000] base_lr: 1.1540e-04 lr: 3.1400e-05 eta: 7 days, 9:55:37 time: 2.5020 data_time: 0.1446 memory: 26562 grad_norm: 0.8532 loss: 1.1446 grounding_loss_reg: 3.3497 detection_loss_cls: 0.0491 detection_loss_reg: 0.4345 caption_loss_cls: 2.4167 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7856 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:42:58 - mmengine - INFO - Iter(train) [217800/480000] base_lr: 1.1533e-04 lr: 3.1383e-05 eta: 7 days, 9:53:52 time: 2.5000 data_time: 0.1446 memory: 26562 grad_norm: 0.8500 loss: 1.1447 grounding_loss_reg: 3.3493 detection_loss_cls: 0.0494 detection_loss_reg: 0.4364 caption_loss_cls: 2.4175 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7859 semantic_segmentation_loss_cls: 0.0120 2023/10/22 11:47:21 - mmengine - INFO - Iter(train) [217900/480000] base_lr: 1.1527e-04 lr: 3.1366e-05 eta: 7 days, 9:55:38 time: 2.5078 data_time: 0.1447 memory: 26562 grad_norm: 0.8498 loss: 1.1498 grounding_loss_reg: 3.3479 detection_loss_cls: 0.0492 detection_loss_reg: 0.4351 caption_loss_cls: 2.4186 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7877 semantic_segmentation_loss_cls: 0.0119 2023/10/22 11:51:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 11:51:15 - mmengine - INFO - Iter(train) [218000/480000] base_lr: 1.1521e-04 lr: 3.1350e-05 eta: 7 days, 9:48:27 time: 2.5091 data_time: 0.1447 memory: 25723 grad_norm: 0.8472 loss: 1.1528 grounding_loss_reg: 3.3475 detection_loss_cls: 0.0492 detection_loss_reg: 0.4356 caption_loss_cls: 2.4199 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7876 semantic_segmentation_loss_cls: 0.0119 2023/10/22 11:51:15 - mmengine - INFO - Saving checkpoint at 218000 iterations 2023/10/22 11:56:18 - mmengine - INFO - Iter(train) [218100/480000] base_lr: 1.1514e-04 lr: 3.1333e-05 eta: 7 days, 10:02:32 time: 2.5034 data_time: 0.1452 memory: 26562 grad_norm: 0.8500 loss: 1.1452 grounding_loss_reg: 3.3467 detection_loss_cls: 0.0491 detection_loss_reg: 0.4354 caption_loss_cls: 2.4169 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7857 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:00:15 - mmengine - INFO - Iter(train) [218200/480000] base_lr: 1.1508e-04 lr: 3.1317e-05 eta: 7 days, 9:56:02 time: 2.4999 data_time: 0.1452 memory: 26562 grad_norm: 0.8534 loss: 1.1454 grounding_loss_reg: 3.3481 detection_loss_cls: 0.0492 detection_loss_reg: 0.4366 caption_loss_cls: 2.4156 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7859 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:04:10 - mmengine - INFO - Iter(train) [218300/480000] base_lr: 1.1501e-04 lr: 3.1300e-05 eta: 7 days, 9:49:05 time: 2.4978 data_time: 0.1451 memory: 26562 grad_norm: 0.8563 loss: 1.1455 grounding_loss_reg: 3.3482 detection_loss_cls: 0.0490 detection_loss_reg: 0.4357 caption_loss_cls: 2.4135 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7838 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:07:59 - mmengine - INFO - Iter(train) [218400/480000] base_lr: 1.1495e-04 lr: 3.1283e-05 eta: 7 days, 9:40:11 time: 2.5110 data_time: 0.1452 memory: 25723 grad_norm: 0.8506 loss: 1.1378 grounding_loss_reg: 3.3484 detection_loss_cls: 0.0491 detection_loss_reg: 0.4358 caption_loss_cls: 2.4106 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7861 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:12:11 - mmengine - INFO - Iter(train) [218500/480000] base_lr: 1.1489e-04 lr: 3.1267e-05 eta: 7 days, 9:38:25 time: 2.5125 data_time: 0.1452 memory: 25723 grad_norm: 0.8491 loss: 1.1414 grounding_loss_reg: 3.3482 detection_loss_cls: 0.0490 detection_loss_reg: 0.4350 caption_loss_cls: 2.4092 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7848 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:12:11 - mmengine - INFO - Saving checkpoint at 218500 iterations 2023/10/22 12:17:35 - mmengine - INFO - Iter(train) [218600/480000] base_lr: 1.1482e-04 lr: 3.1250e-05 eta: 7 days, 9:58:01 time: 2.5230 data_time: 0.1457 memory: 26562 grad_norm: 0.8431 loss: 1.1381 grounding_loss_reg: 3.3492 detection_loss_cls: 0.0491 detection_loss_reg: 0.4355 caption_loss_cls: 2.4099 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7887 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:21:37 - mmengine - INFO - Iter(train) [218700/480000] base_lr: 1.1476e-04 lr: 3.1233e-05 eta: 7 days, 9:52:48 time: 2.5285 data_time: 0.1458 memory: 26562 grad_norm: 0.8464 loss: 1.1442 grounding_loss_reg: 3.3475 detection_loss_cls: 0.0490 detection_loss_reg: 0.4345 caption_loss_cls: 2.4135 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7875 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:25:50 - mmengine - INFO - Iter(train) [218800/480000] base_lr: 1.1469e-04 lr: 3.1217e-05 eta: 7 days, 9:51:07 time: 2.5368 data_time: 0.1468 memory: 25723 grad_norm: 0.8448 loss: 1.1418 grounding_loss_reg: 3.3479 detection_loss_cls: 0.0490 detection_loss_reg: 0.4342 caption_loss_cls: 2.4127 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7866 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:29:48 - mmengine - INFO - Iter(train) [218900/480000] base_lr: 1.1463e-04 lr: 3.1200e-05 eta: 7 days, 9:44:57 time: 2.5360 data_time: 0.1468 memory: 26562 grad_norm: 0.8443 loss: 1.1422 grounding_loss_reg: 3.3490 detection_loss_cls: 0.0491 detection_loss_reg: 0.4343 caption_loss_cls: 2.4109 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7837 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:33:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 12:33:50 - mmengine - INFO - Iter(train) [219000/480000] base_lr: 1.1456e-04 lr: 3.1183e-05 eta: 7 days, 9:39:54 time: 2.5377 data_time: 0.1468 memory: 26562 grad_norm: 0.8470 loss: 1.1469 grounding_loss_reg: 3.3492 detection_loss_cls: 0.0489 detection_loss_reg: 0.4346 caption_loss_cls: 2.4102 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7834 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:33:50 - mmengine - INFO - Saving checkpoint at 219000 iterations 2023/10/22 12:38:51 - mmengine - INFO - Iter(train) [219100/480000] base_lr: 1.1450e-04 lr: 3.1167e-05 eta: 7 days, 9:52:03 time: 2.5340 data_time: 0.1469 memory: 25723 grad_norm: 0.8484 loss: 1.1484 grounding_loss_reg: 3.3480 detection_loss_cls: 0.0491 detection_loss_reg: 0.4354 caption_loss_cls: 2.4102 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7855 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:42:51 - mmengine - INFO - Iter(train) [219200/480000] base_lr: 1.1444e-04 lr: 3.1150e-05 eta: 7 days, 9:46:27 time: 2.5358 data_time: 0.1469 memory: 25723 grad_norm: 0.8446 loss: 1.1406 grounding_loss_reg: 3.3484 detection_loss_cls: 0.0493 detection_loss_reg: 0.4357 caption_loss_cls: 2.4073 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7842 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:46:30 - mmengine - INFO - Iter(train) [219300/480000] base_lr: 1.1437e-04 lr: 3.1134e-05 eta: 7 days, 9:34:40 time: 2.5310 data_time: 0.1468 memory: 26562 grad_norm: 0.8469 loss: 1.1383 grounding_loss_reg: 3.3482 detection_loss_cls: 0.0492 detection_loss_reg: 0.4351 caption_loss_cls: 2.4081 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7829 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:50:35 - mmengine - INFO - Iter(train) [219400/480000] base_lr: 1.1431e-04 lr: 3.1117e-05 eta: 7 days, 9:30:37 time: 2.5354 data_time: 0.1469 memory: 25723 grad_norm: 0.8464 loss: 1.1356 grounding_loss_reg: 3.3477 detection_loss_cls: 0.0490 detection_loss_reg: 0.4341 caption_loss_cls: 2.4056 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7822 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:54:40 - mmengine - INFO - Iter(train) [219500/480000] base_lr: 1.1424e-04 lr: 3.1100e-05 eta: 7 days, 9:26:32 time: 2.5354 data_time: 0.1468 memory: 26562 grad_norm: 0.8507 loss: 1.1360 grounding_loss_reg: 3.3481 detection_loss_cls: 0.0491 detection_loss_reg: 0.4338 caption_loss_cls: 2.4056 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7810 semantic_segmentation_loss_cls: 0.0119 2023/10/22 12:54:40 - mmengine - INFO - Saving checkpoint at 219500 iterations 2023/10/22 12:59:39 - mmengine - INFO - Iter(train) [219600/480000] base_lr: 1.1418e-04 lr: 3.1084e-05 eta: 7 days, 9:37:13 time: 2.5363 data_time: 0.1462 memory: 26562 grad_norm: 0.8472 loss: 1.1285 grounding_loss_reg: 3.3492 detection_loss_cls: 0.0492 detection_loss_reg: 0.4350 caption_loss_cls: 2.4048 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7795 semantic_segmentation_loss_cls: 0.0119 2023/10/22 13:03:20 - mmengine - INFO - Iter(train) [219700/480000] base_lr: 1.1412e-04 lr: 3.1067e-05 eta: 7 days, 9:26:17 time: 2.5272 data_time: 0.1462 memory: 25723 grad_norm: 0.8490 loss: 1.1300 grounding_loss_reg: 3.3481 detection_loss_cls: 0.0491 detection_loss_reg: 0.4356 caption_loss_cls: 2.4041 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7795 semantic_segmentation_loss_cls: 0.0119 2023/10/22 13:07:28 - mmengine - INFO - Iter(train) [219800/480000] base_lr: 1.1405e-04 lr: 3.1050e-05 eta: 7 days, 9:22:54 time: 2.5223 data_time: 0.1461 memory: 25723 grad_norm: 0.8485 loss: 1.1336 grounding_loss_reg: 3.3490 detection_loss_cls: 0.0491 detection_loss_reg: 0.4355 caption_loss_cls: 2.4055 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7809 semantic_segmentation_loss_cls: 0.0119 2023/10/22 13:11:02 - mmengine - INFO - Iter(train) [219900/480000] base_lr: 1.1399e-04 lr: 3.1034e-05 eta: 7 days, 9:10:26 time: 2.5180 data_time: 0.1461 memory: 26562 grad_norm: 0.8507 loss: 1.1375 grounding_loss_reg: 3.3496 detection_loss_cls: 0.0490 detection_loss_reg: 0.4345 caption_loss_cls: 2.4046 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7810 semantic_segmentation_loss_cls: 0.0119 2023/10/22 13:15:07 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 13:15:07 - mmengine - INFO - Iter(train) [220000/480000] base_lr: 1.1392e-04 lr: 3.1017e-05 eta: 7 days, 9:06:09 time: 2.5297 data_time: 0.1462 memory: 26562 grad_norm: 0.8388 loss: 1.1335 grounding_loss_reg: 3.3498 detection_loss_cls: 0.0492 detection_loss_reg: 0.4355 caption_loss_cls: 2.4053 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7806 semantic_segmentation_loss_cls: 0.0119 2023/10/22 13:15:07 - mmengine - INFO - Saving checkpoint at 220000 iterations 2023/10/22 13:19:49 - mmengine - INFO - Iter(train) [220100/480000] base_lr: 1.1386e-04 lr: 3.1000e-05 eta: 7 days, 9:12:02 time: 2.5245 data_time: 0.1460 memory: 25723 grad_norm: 0.8418 loss: 1.1380 grounding_loss_reg: 3.3500 detection_loss_cls: 0.0492 detection_loss_reg: 0.4367 caption_loss_cls: 2.4055 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7810 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:23:34 - mmengine - INFO - Iter(train) [220200/480000] base_lr: 1.1379e-04 lr: 3.0984e-05 eta: 7 days, 9:02:30 time: 2.5236 data_time: 0.1459 memory: 25723 grad_norm: 0.8419 loss: 1.1383 grounding_loss_reg: 3.3494 detection_loss_cls: 0.0491 detection_loss_reg: 0.4356 caption_loss_cls: 2.4082 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7799 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:27:09 - mmengine - INFO - Iter(train) [220300/480000] base_lr: 1.1373e-04 lr: 3.0967e-05 eta: 7 days, 8:50:09 time: 2.5203 data_time: 0.1458 memory: 25723 grad_norm: 0.8439 loss: 1.1407 grounding_loss_reg: 3.3498 detection_loss_cls: 0.0489 detection_loss_reg: 0.4345 caption_loss_cls: 2.4092 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7801 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:31:03 - mmengine - INFO - Iter(train) [220400/480000] base_lr: 1.1367e-04 lr: 3.0950e-05 eta: 7 days, 8:43:14 time: 2.5173 data_time: 0.1458 memory: 25723 grad_norm: 0.8443 loss: 1.1317 grounding_loss_reg: 3.3486 detection_loss_cls: 0.0490 detection_loss_reg: 0.4344 caption_loss_cls: 2.4056 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7780 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:35:12 - mmengine - INFO - Iter(train) [220500/480000] base_lr: 1.1360e-04 lr: 3.0934e-05 eta: 7 days, 8:40:03 time: 2.5149 data_time: 0.1458 memory: 25723 grad_norm: 0.8467 loss: 1.1308 grounding_loss_reg: 3.3470 detection_loss_cls: 0.0491 detection_loss_reg: 0.4348 caption_loss_cls: 2.4052 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7795 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:35:12 - mmengine - INFO - Saving checkpoint at 220500 iterations 2023/10/22 13:40:16 - mmengine - INFO - Iter(train) [220600/480000] base_lr: 1.1354e-04 lr: 3.0917e-05 eta: 7 days, 8:51:30 time: 2.5155 data_time: 0.1459 memory: 26562 grad_norm: 0.8396 loss: 1.1239 grounding_loss_reg: 3.3467 detection_loss_cls: 0.0489 detection_loss_reg: 0.4348 caption_loss_cls: 2.4057 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7768 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:43:47 - mmengine - INFO - Iter(train) [220700/480000] base_lr: 1.1347e-04 lr: 3.0900e-05 eta: 7 days, 8:38:28 time: 2.5094 data_time: 0.1458 memory: 26562 grad_norm: 0.8390 loss: 1.1235 grounding_loss_reg: 3.3474 detection_loss_cls: 0.0487 detection_loss_reg: 0.4340 caption_loss_cls: 2.4083 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7764 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:48:20 - mmengine - INFO - Iter(train) [220800/480000] base_lr: 1.1341e-04 lr: 3.0884e-05 eta: 7 days, 8:41:32 time: 2.5016 data_time: 0.1457 memory: 25723 grad_norm: 0.8438 loss: 1.1298 grounding_loss_reg: 3.3480 detection_loss_cls: 0.0490 detection_loss_reg: 0.4351 caption_loss_cls: 2.4062 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7763 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:52:37 - mmengine - INFO - Iter(train) [220900/480000] base_lr: 1.1334e-04 lr: 3.0867e-05 eta: 7 days, 8:40:19 time: 2.5063 data_time: 0.1458 memory: 26562 grad_norm: 0.8471 loss: 1.1366 grounding_loss_reg: 3.3479 detection_loss_cls: 0.0488 detection_loss_reg: 0.4340 caption_loss_cls: 2.4063 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7773 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:56:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 13:56:46 - mmengine - INFO - Iter(train) [221000/480000] base_lr: 1.1328e-04 lr: 3.0850e-05 eta: 7 days, 8:37:06 time: 2.5115 data_time: 0.1458 memory: 25723 grad_norm: 0.8491 loss: 1.1422 grounding_loss_reg: 3.3483 detection_loss_cls: 0.0489 detection_loss_reg: 0.4346 caption_loss_cls: 2.4071 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7759 semantic_segmentation_loss_cls: 0.0120 2023/10/22 13:56:46 - mmengine - INFO - Saving checkpoint at 221000 iterations 2023/10/22 14:01:39 - mmengine - INFO - Iter(train) [221100/480000] base_lr: 1.1322e-04 lr: 3.0834e-05 eta: 7 days, 8:45:06 time: 2.5051 data_time: 0.1455 memory: 25723 grad_norm: 0.8545 loss: 1.1492 grounding_loss_reg: 3.3468 detection_loss_cls: 0.0490 detection_loss_reg: 0.4344 caption_loss_cls: 2.4089 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7767 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:05:24 - mmengine - INFO - Iter(train) [221200/480000] base_lr: 1.1315e-04 lr: 3.0817e-05 eta: 7 days, 8:35:38 time: 2.5054 data_time: 0.1455 memory: 26562 grad_norm: 0.8548 loss: 1.1501 grounding_loss_reg: 3.3465 detection_loss_cls: 0.0491 detection_loss_reg: 0.4360 caption_loss_cls: 2.4057 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7765 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:09:13 - mmengine - INFO - Iter(train) [221300/480000] base_lr: 1.1309e-04 lr: 3.0800e-05 eta: 7 days, 8:27:28 time: 2.5064 data_time: 0.1455 memory: 26562 grad_norm: 0.8572 loss: 1.1525 grounding_loss_reg: 3.3473 detection_loss_cls: 0.0490 detection_loss_reg: 0.4353 caption_loss_cls: 2.4074 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7766 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:12:48 - mmengine - INFO - Iter(train) [221400/480000] base_lr: 1.1302e-04 lr: 3.0784e-05 eta: 7 days, 8:15:46 time: 2.4971 data_time: 0.1455 memory: 26562 grad_norm: 0.8561 loss: 1.1531 grounding_loss_reg: 3.3468 detection_loss_cls: 0.0489 detection_loss_reg: 0.4345 caption_loss_cls: 2.4089 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7769 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:16:40 - mmengine - INFO - Iter(train) [221500/480000] base_lr: 1.1296e-04 lr: 3.0767e-05 eta: 7 days, 8:08:19 time: 2.4993 data_time: 0.1455 memory: 26562 grad_norm: 0.8566 loss: 1.1598 grounding_loss_reg: 3.3469 detection_loss_cls: 0.0491 detection_loss_reg: 0.4357 caption_loss_cls: 2.4120 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7768 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:16:40 - mmengine - INFO - Saving checkpoint at 221500 iterations 2023/10/22 14:21:45 - mmengine - INFO - Iter(train) [221600/480000] base_lr: 1.1289e-04 lr: 3.0750e-05 eta: 7 days, 8:18:56 time: 2.5008 data_time: 0.1457 memory: 25723 grad_norm: 0.8584 loss: 1.1684 grounding_loss_reg: 3.3479 detection_loss_cls: 0.0498 detection_loss_reg: 0.4384 caption_loss_cls: 2.4105 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7803 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:26:30 - mmengine - INFO - Iter(train) [221700/480000] base_lr: 1.1283e-04 lr: 3.0734e-05 eta: 7 days, 8:24:13 time: 2.5154 data_time: 0.1457 memory: 25723 grad_norm: 0.8561 loss: 1.1593 grounding_loss_reg: 3.3484 detection_loss_cls: 0.0495 detection_loss_reg: 0.4380 caption_loss_cls: 2.4096 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7802 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:30:25 - mmengine - INFO - Iter(train) [221800/480000] base_lr: 1.1277e-04 lr: 3.0717e-05 eta: 7 days, 8:17:38 time: 2.5114 data_time: 0.1457 memory: 25723 grad_norm: 0.8600 loss: 1.1590 grounding_loss_reg: 3.3486 detection_loss_cls: 0.0495 detection_loss_reg: 0.4380 caption_loss_cls: 2.4097 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7788 semantic_segmentation_loss_cls: 0.0119 2023/10/22 14:34:07 - mmengine - INFO - Iter(train) [221900/480000] base_lr: 1.1270e-04 lr: 3.0700e-05 eta: 7 days, 8:07:43 time: 2.5011 data_time: 0.1456 memory: 25723 grad_norm: 0.8629 loss: 1.1589 grounding_loss_reg: 3.3495 detection_loss_cls: 0.0497 detection_loss_reg: 0.4388 caption_loss_cls: 2.4042 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7775 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:38:07 - mmengine - INFO - Exp name: univision_joint_all_huge_20231022_013900 2023/10/22 14:38:07 - mmengine - INFO - Iter(train) [222000/480000] base_lr: 1.1264e-04 lr: 3.0684e-05 eta: 7 days, 8:02:15 time: 2.5025 data_time: 0.1457 memory: 25723 grad_norm: 0.8594 loss: 1.1538 grounding_loss_reg: 3.3502 detection_loss_cls: 0.0495 detection_loss_reg: 0.4381 caption_loss_cls: 2.4056 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7756 semantic_segmentation_loss_cls: 0.0120 2023/10/22 14:38:07 - mmengine - INFO - Saving checkpoint at 222000 iterations 2023/10/22 14:43:06 - mmengine - INFO - Iter(train) [222100/480000] base_lr: 1.1257e-04 lr: 3.0667e-05 eta: 7 days, 8:10:57 time: 2.5016 data_time: 0.1453 memory: 26562 grad_norm: 0.8581 loss: 1.1594 grounding_loss_reg: 3.3513 detection_loss_cls: 0.0495 detection_loss_reg: 0.4385 caption_loss_cls: 2.4070 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7776 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:02:57 - mmengine - INFO - Iter(train) [222200/480000] base_lr: 1.1251e-04 lr: 3.0650e-05 eta: 4 days, 12:07:12 time: 2.4430 data_time: 0.1292 memory: 26528 grad_norm: 0.8689 loss: 1.1664 grounding_loss_reg: 3.3516 detection_loss_cls: 0.0495 detection_loss_reg: 0.4383 caption_loss_cls: 2.4096 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7766 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:05:55 - mmengine - INFO - Iter(train) [222300/480000] base_lr: 1.1244e-04 lr: 3.0634e-05 eta: 4 days, 18:35:47 time: 2.4288 data_time: 0.1293 memory: 26528 grad_norm: 0.8691 loss: 1.1701 grounding_loss_reg: 3.3519 detection_loss_cls: 0.0491 detection_loss_reg: 0.4377 caption_loss_cls: 2.4112 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7748 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:08:51 - mmengine - INFO - Iter(train) [222400/480000] base_lr: 1.1238e-04 lr: 3.0617e-05 eta: 4 days, 21:27:01 time: 2.4157 data_time: 0.1293 memory: 25687 grad_norm: 0.8696 loss: 1.1723 grounding_loss_reg: 3.3522 detection_loss_cls: 0.0491 detection_loss_reg: 0.4376 caption_loss_cls: 2.4129 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7744 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:11:50 - mmengine - INFO - Iter(train) [222500/480000] base_lr: 1.1232e-04 lr: 3.0600e-05 eta: 4 days, 23:28:58 time: 2.3973 data_time: 0.1294 memory: 26528 grad_norm: 0.8746 loss: 1.1750 grounding_loss_reg: 3.3504 detection_loss_cls: 0.0490 detection_loss_reg: 0.4363 caption_loss_cls: 2.4134 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7745 semantic_segmentation_loss_cls: 0.0119 2023/10/23 05:11:50 - mmengine - INFO - Saving checkpoint at 222500 iterations 2023/10/23 05:15:50 - mmengine - INFO - Iter(train) [222600/480000] base_lr: 1.1225e-04 lr: 3.0584e-05 eta: 5 days, 8:10:34 time: 2.3764 data_time: 0.1295 memory: 25687 grad_norm: 0.8738 loss: 1.1692 grounding_loss_reg: 3.3510 detection_loss_cls: 0.0489 detection_loss_reg: 0.4356 caption_loss_cls: 2.4136 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7749 semantic_segmentation_loss_cls: 0.0119 2023/10/23 05:19:08 - mmengine - INFO - Iter(train) [222700/480000] base_lr: 1.1219e-04 lr: 3.0567e-05 eta: 5 days, 9:59:34 time: 2.3655 data_time: 0.1295 memory: 25687 grad_norm: 0.8690 loss: 1.1602 grounding_loss_reg: 3.3512 detection_loss_cls: 0.0487 detection_loss_reg: 0.4347 caption_loss_cls: 2.4109 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7748 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:22:20 - mmengine - INFO - Iter(train) [222800/480000] base_lr: 1.1212e-04 lr: 3.0550e-05 eta: 5 days, 10:51:11 time: 2.3502 data_time: 0.1285 memory: 25687 grad_norm: 0.8660 loss: 1.1584 grounding_loss_reg: 3.3513 detection_loss_cls: 0.0488 detection_loss_reg: 0.4342 caption_loss_cls: 2.4117 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7724 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:25:39 - mmengine - INFO - Iter(train) [222900/480000] base_lr: 1.1206e-04 lr: 3.0533e-05 eta: 5 days, 12:02:10 time: 2.3404 data_time: 0.1285 memory: 25687 grad_norm: 0.8690 loss: 1.1592 grounding_loss_reg: 3.3497 detection_loss_cls: 0.0487 detection_loss_reg: 0.4332 caption_loss_cls: 2.4112 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7724 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:29:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 05:29:22 - mmengine - INFO - Iter(train) [223000/480000] base_lr: 1.1199e-04 lr: 3.0517e-05 eta: 5 days, 14:42:46 time: 2.3357 data_time: 0.1285 memory: 25687 grad_norm: 0.8712 loss: 1.1596 grounding_loss_reg: 3.3492 detection_loss_cls: 0.0488 detection_loss_reg: 0.4336 caption_loss_cls: 2.4096 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7730 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:29:22 - mmengine - INFO - Saving checkpoint at 223000 iterations 2023/10/23 05:34:11 - mmengine - INFO - Iter(train) [223100/480000] base_lr: 1.1193e-04 lr: 3.0500e-05 eta: 5 days, 21:08:18 time: 2.3325 data_time: 0.1285 memory: 26528 grad_norm: 0.8684 loss: 1.1537 grounding_loss_reg: 3.3495 detection_loss_cls: 0.0489 detection_loss_reg: 0.4338 caption_loss_cls: 2.4089 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7714 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:37:37 - mmengine - INFO - Iter(train) [223200/480000] base_lr: 1.1186e-04 lr: 3.0483e-05 eta: 5 days, 21:33:59 time: 2.3239 data_time: 0.1285 memory: 25687 grad_norm: 0.8699 loss: 1.1558 grounding_loss_reg: 3.3496 detection_loss_cls: 0.0488 detection_loss_reg: 0.4335 caption_loss_cls: 2.4086 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7712 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:41:28 - mmengine - INFO - Iter(train) [223300/480000] base_lr: 1.1180e-04 lr: 3.0467e-05 eta: 5 days, 23:20:14 time: 2.3273 data_time: 0.1285 memory: 25687 grad_norm: 0.8663 loss: 1.1538 grounding_loss_reg: 3.3491 detection_loss_cls: 0.0488 detection_loss_reg: 0.4332 caption_loss_cls: 2.4082 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7702 semantic_segmentation_loss_cls: 0.0120 2023/10/23 05:44:49 - mmengine - INFO - Iter(train) [223400/480000] base_lr: 1.1174e-04 lr: 3.0450e-05 eta: 5 days, 23:15:18 time: 2.3161 data_time: 0.1285 memory: 25687 grad_norm: 0.8701 loss: 1.1541 grounding_loss_reg: 3.3457 detection_loss_cls: 0.0488 detection_loss_reg: 0.4338 caption_loss_cls: 2.4056 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7693 semantic_segmentation_loss_cls: 0.0119 2023/10/23 05:48:19 - mmengine - INFO - Iter(train) [223500/480000] base_lr: 1.1167e-04 lr: 3.0433e-05 eta: 5 days, 23:38:45 time: 2.3074 data_time: 0.1285 memory: 26528 grad_norm: 0.8714 loss: 1.1573 grounding_loss_reg: 3.3440 detection_loss_cls: 0.0490 detection_loss_reg: 0.4347 caption_loss_cls: 2.4086 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7671 semantic_segmentation_loss_cls: 0.0119 2023/10/23 05:48:19 - mmengine - INFO - Saving checkpoint at 223500 iterations 2023/10/23 05:52:51 - mmengine - INFO - Iter(train) [223600/480000] base_lr: 1.1161e-04 lr: 3.0417e-05 eta: 6 days, 2:42:58 time: 2.3008 data_time: 0.1290 memory: 25687 grad_norm: 0.8719 loss: 1.1589 grounding_loss_reg: 3.3435 detection_loss_cls: 0.0490 detection_loss_reg: 0.4353 caption_loss_cls: 2.4056 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7676 semantic_segmentation_loss_cls: 0.0119 2023/10/23 05:56:18 - mmengine - INFO - Iter(train) [223700/480000] base_lr: 1.1154e-04 lr: 3.0400e-05 eta: 6 days, 2:40:13 time: 2.2971 data_time: 0.1290 memory: 26528 grad_norm: 0.8749 loss: 1.1680 grounding_loss_reg: 3.3435 detection_loss_cls: 0.0490 detection_loss_reg: 0.4346 caption_loss_cls: 2.4100 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7698 semantic_segmentation_loss_cls: 0.0119 2023/10/23 05:59:42 - mmengine - INFO - Iter(train) [223800/480000] base_lr: 1.1148e-04 lr: 3.0383e-05 eta: 6 days, 2:33:08 time: 2.2862 data_time: 0.1290 memory: 26528 grad_norm: 0.8754 loss: 1.1644 grounding_loss_reg: 3.3434 detection_loss_cls: 0.0491 detection_loss_reg: 0.4341 caption_loss_cls: 2.4105 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7689 semantic_segmentation_loss_cls: 0.0119 2023/10/23 06:03:24 - mmengine - INFO - Iter(train) [223900/480000] base_lr: 1.1141e-04 lr: 3.0366e-05 eta: 6 days, 3:06:18 time: 2.2881 data_time: 0.1290 memory: 25687 grad_norm: 0.8711 loss: 1.1638 grounding_loss_reg: 3.3423 detection_loss_cls: 0.0491 detection_loss_reg: 0.4343 caption_loss_cls: 2.4067 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7693 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:06:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 06:06:38 - mmengine - INFO - Iter(train) [224000/480000] base_lr: 1.1135e-04 lr: 3.0350e-05 eta: 6 days, 2:34:45 time: 2.2754 data_time: 0.1290 memory: 25687 grad_norm: 0.8762 loss: 1.1635 grounding_loss_reg: 3.3415 detection_loss_cls: 0.0492 detection_loss_reg: 0.4345 caption_loss_cls: 2.4100 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7684 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:06:38 - mmengine - INFO - Saving checkpoint at 224000 iterations 2023/10/23 06:11:02 - mmengine - INFO - Iter(train) [224100/480000] base_lr: 1.1128e-04 lr: 3.0333e-05 eta: 6 days, 4:29:36 time: 2.2709 data_time: 0.1287 memory: 26528 grad_norm: 0.8693 loss: 1.1585 grounding_loss_reg: 3.3413 detection_loss_cls: 0.0492 detection_loss_reg: 0.4348 caption_loss_cls: 2.4143 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7692 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:14:35 - mmengine - INFO - Iter(train) [224200/480000] base_lr: 1.1122e-04 lr: 3.0316e-05 eta: 6 days, 4:34:03 time: 2.2679 data_time: 0.1288 memory: 25687 grad_norm: 0.8680 loss: 1.1582 grounding_loss_reg: 3.3418 detection_loss_cls: 0.0492 detection_loss_reg: 0.4348 caption_loss_cls: 2.4187 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7703 semantic_segmentation_loss_cls: 0.0119 2023/10/23 06:18:02 - mmengine - INFO - Iter(train) [224300/480000] base_lr: 1.1116e-04 lr: 3.0300e-05 eta: 6 days, 4:25:48 time: 2.2660 data_time: 0.1288 memory: 25687 grad_norm: 0.8660 loss: 1.1522 grounding_loss_reg: 3.3390 detection_loss_cls: 0.0492 detection_loss_reg: 0.4351 caption_loss_cls: 2.4171 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7709 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:21:19 - mmengine - INFO - Iter(train) [224400/480000] base_lr: 1.1109e-04 lr: 3.0283e-05 eta: 6 days, 4:00:49 time: 2.2566 data_time: 0.1288 memory: 25687 grad_norm: 0.8711 loss: 1.1618 grounding_loss_reg: 3.3390 detection_loss_cls: 0.0490 detection_loss_reg: 0.4341 caption_loss_cls: 2.4128 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7730 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:24:38 - mmengine - INFO - Iter(train) [224500/480000] base_lr: 1.1103e-04 lr: 3.0266e-05 eta: 6 days, 3:40:49 time: 2.2442 data_time: 0.1287 memory: 25687 grad_norm: 0.8676 loss: 1.1599 grounding_loss_reg: 3.3390 detection_loss_cls: 0.0491 detection_loss_reg: 0.4354 caption_loss_cls: 2.4098 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7741 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:24:38 - mmengine - INFO - Saving checkpoint at 224500 iterations 2023/10/23 06:29:15 - mmengine - INFO - Iter(train) [224600/480000] base_lr: 1.1096e-04 lr: 3.0249e-05 eta: 6 days, 5:31:09 time: 2.2374 data_time: 0.1287 memory: 26528 grad_norm: 0.8746 loss: 1.1703 grounding_loss_reg: 3.3384 detection_loss_cls: 0.0491 detection_loss_reg: 0.4354 caption_loss_cls: 2.4093 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7740 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:33:21 - mmengine - INFO - Iter(train) [224700/480000] base_lr: 1.1090e-04 lr: 3.0233e-05 eta: 6 days, 6:22:38 time: 2.2461 data_time: 0.1288 memory: 26528 grad_norm: 0.8732 loss: 1.1634 grounding_loss_reg: 3.3373 detection_loss_cls: 0.0489 detection_loss_reg: 0.4333 caption_loss_cls: 2.4060 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7737 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:37:01 - mmengine - INFO - Iter(train) [224800/480000] base_lr: 1.1083e-04 lr: 3.0216e-05 eta: 6 days, 6:30:24 time: 2.2327 data_time: 0.1288 memory: 26528 grad_norm: 0.8774 loss: 1.1640 grounding_loss_reg: 3.3365 detection_loss_cls: 0.0489 detection_loss_reg: 0.4337 caption_loss_cls: 2.4055 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7731 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:40:33 - mmengine - INFO - Iter(train) [224900/480000] base_lr: 1.1077e-04 lr: 3.0199e-05 eta: 6 days, 6:27:06 time: 2.2216 data_time: 0.1287 memory: 25687 grad_norm: 0.8743 loss: 1.1586 grounding_loss_reg: 3.3361 detection_loss_cls: 0.0489 detection_loss_reg: 0.4346 caption_loss_cls: 2.4032 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7719 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:44:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 06:44:25 - mmengine - INFO - Iter(train) [225000/480000] base_lr: 1.1070e-04 lr: 3.0183e-05 eta: 6 days, 6:50:40 time: 2.2173 data_time: 0.1287 memory: 25687 grad_norm: 0.8767 loss: 1.1565 grounding_loss_reg: 3.3361 detection_loss_cls: 0.0489 detection_loss_reg: 0.4347 caption_loss_cls: 2.4022 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7714 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:44:25 - mmengine - INFO - Saving checkpoint at 225000 iterations 2023/10/23 06:49:30 - mmengine - INFO - Iter(train) [225100/480000] base_lr: 1.1064e-04 lr: 3.0166e-05 eta: 6 days, 8:53:43 time: 2.2202 data_time: 0.1293 memory: 25687 grad_norm: 0.8742 loss: 1.1505 grounding_loss_reg: 3.3348 detection_loss_cls: 0.0488 detection_loss_reg: 0.4343 caption_loss_cls: 2.4009 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7715 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:53:17 - mmengine - INFO - Iter(train) [225200/480000] base_lr: 1.1058e-04 lr: 3.0149e-05 eta: 6 days, 9:04:42 time: 2.2209 data_time: 0.1293 memory: 26528 grad_norm: 0.8734 loss: 1.1463 grounding_loss_reg: 3.3319 detection_loss_cls: 0.0487 detection_loss_reg: 0.4335 caption_loss_cls: 2.4049 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7718 semantic_segmentation_loss_cls: 0.0120 2023/10/23 06:57:33 - mmengine - INFO - Iter(train) [225300/480000] base_lr: 1.1051e-04 lr: 3.0132e-05 eta: 6 days, 9:52:11 time: 2.2276 data_time: 0.1293 memory: 26528 grad_norm: 0.8692 loss: 1.1439 grounding_loss_reg: 3.3326 detection_loss_cls: 0.0487 detection_loss_reg: 0.4335 caption_loss_cls: 2.4036 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7727 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:01:06 - mmengine - INFO - Iter(train) [225400/480000] base_lr: 1.1045e-04 lr: 3.0116e-05 eta: 6 days, 9:42:38 time: 2.2270 data_time: 0.1294 memory: 26528 grad_norm: 0.8745 loss: 1.1505 grounding_loss_reg: 3.3324 detection_loss_cls: 0.0485 detection_loss_reg: 0.4320 caption_loss_cls: 2.4005 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7745 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:05:03 - mmengine - INFO - Iter(train) [225500/480000] base_lr: 1.1038e-04 lr: 3.0099e-05 eta: 6 days, 10:02:55 time: 2.2284 data_time: 0.1294 memory: 26528 grad_norm: 0.8733 loss: 1.1403 grounding_loss_reg: 3.3317 detection_loss_cls: 0.0489 detection_loss_reg: 0.4326 caption_loss_cls: 2.3989 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7749 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:05:03 - mmengine - INFO - Saving checkpoint at 225500 iterations 2023/10/23 07:09:37 - mmengine - INFO - Iter(train) [225600/480000] base_lr: 1.1032e-04 lr: 3.0082e-05 eta: 6 days, 11:05:43 time: 2.2206 data_time: 0.1298 memory: 25687 grad_norm: 0.8739 loss: 1.1328 grounding_loss_reg: 3.3315 detection_loss_cls: 0.0488 detection_loss_reg: 0.4327 caption_loss_cls: 2.3990 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:13:41 - mmengine - INFO - Iter(train) [225700/480000] base_lr: 1.1025e-04 lr: 3.0066e-05 eta: 6 days, 11:29:28 time: 2.2104 data_time: 0.1298 memory: 26528 grad_norm: 0.8724 loss: 1.1379 grounding_loss_reg: 3.3317 detection_loss_cls: 0.0490 detection_loss_reg: 0.4334 caption_loss_cls: 2.4024 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7772 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:17:50 - mmengine - INFO - Iter(train) [225800/480000] base_lr: 1.1019e-04 lr: 3.0049e-05 eta: 6 days, 11:58:21 time: 2.2138 data_time: 0.1298 memory: 25687 grad_norm: 0.8700 loss: 1.1346 grounding_loss_reg: 3.3314 detection_loss_cls: 0.0488 detection_loss_reg: 0.4330 caption_loss_cls: 2.4057 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7776 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:21:18 - mmengine - INFO - Iter(train) [225900/480000] base_lr: 1.1012e-04 lr: 3.0032e-05 eta: 6 days, 11:40:41 time: 2.2104 data_time: 0.1298 memory: 26528 grad_norm: 0.8685 loss: 1.1318 grounding_loss_reg: 3.3323 detection_loss_cls: 0.0487 detection_loss_reg: 0.4334 caption_loss_cls: 2.4013 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7787 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:25:08 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 07:25:08 - mmengine - INFO - Iter(train) [226000/480000] base_lr: 1.1006e-04 lr: 3.0015e-05 eta: 6 days, 11:46:56 time: 2.2079 data_time: 0.1298 memory: 26528 grad_norm: 0.8710 loss: 1.1354 grounding_loss_reg: 3.3332 detection_loss_cls: 0.0487 detection_loss_reg: 0.4330 caption_loss_cls: 2.4010 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7775 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:25:08 - mmengine - INFO - Saving checkpoint at 226000 iterations 2023/10/23 07:30:19 - mmengine - INFO - Iter(train) [226100/480000] base_lr: 1.0999e-04 lr: 2.9999e-05 eta: 6 days, 13:15:59 time: 2.2485 data_time: 0.1463 memory: 26528 grad_norm: 0.8682 loss: 1.1291 grounding_loss_reg: 3.3327 detection_loss_cls: 0.0486 detection_loss_reg: 0.4326 caption_loss_cls: 2.3996 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7773 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:34:34 - mmengine - INFO - Iter(train) [226200/480000] base_lr: 1.0993e-04 lr: 2.9982e-05 eta: 6 days, 13:45:06 time: 2.2740 data_time: 0.1463 memory: 26528 grad_norm: 0.8634 loss: 1.1251 grounding_loss_reg: 3.3324 detection_loss_cls: 0.0485 detection_loss_reg: 0.4331 caption_loss_cls: 2.4012 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0119 2023/10/23 07:38:17 - mmengine - INFO - Iter(train) [226300/480000] base_lr: 1.0987e-04 lr: 2.9965e-05 eta: 6 days, 13:39:39 time: 2.2849 data_time: 0.1463 memory: 25687 grad_norm: 0.8643 loss: 1.1279 grounding_loss_reg: 3.3337 detection_loss_cls: 0.0486 detection_loss_reg: 0.4332 caption_loss_cls: 2.4038 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7767 semantic_segmentation_loss_cls: 0.0119 2023/10/23 07:42:07 - mmengine - INFO - Iter(train) [226400/480000] base_lr: 1.0980e-04 lr: 2.9948e-05 eta: 6 days, 13:42:24 time: 2.2985 data_time: 0.1463 memory: 26528 grad_norm: 0.8630 loss: 1.1251 grounding_loss_reg: 3.3342 detection_loss_cls: 0.0486 detection_loss_reg: 0.4330 caption_loss_cls: 2.4038 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7799 semantic_segmentation_loss_cls: 0.0119 2023/10/23 07:46:11 - mmengine - INFO - Iter(train) [226500/480000] base_lr: 1.0974e-04 lr: 2.9932e-05 eta: 6 days, 13:57:24 time: 2.3148 data_time: 0.1462 memory: 25687 grad_norm: 0.8623 loss: 1.1196 grounding_loss_reg: 3.3326 detection_loss_cls: 0.0487 detection_loss_reg: 0.4336 caption_loss_cls: 2.3993 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.7803 semantic_segmentation_loss_cls: 0.0119 2023/10/23 07:46:11 - mmengine - INFO - Saving checkpoint at 226500 iterations 2023/10/23 07:51:25 - mmengine - INFO - Iter(train) [226600/480000] base_lr: 1.0967e-04 lr: 2.9915e-05 eta: 6 days, 15:15:54 time: 2.3331 data_time: 0.1461 memory: 26528 grad_norm: 0.8620 loss: 1.1208 grounding_loss_reg: 3.3346 detection_loss_cls: 0.0488 detection_loss_reg: 0.4352 caption_loss_cls: 2.3928 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.7801 semantic_segmentation_loss_cls: 0.0120 2023/10/23 07:55:52 - mmengine - INFO - Iter(train) [226700/480000] base_lr: 1.0961e-04 lr: 2.9898e-05 eta: 6 days, 15:49:11 time: 2.3506 data_time: 0.1462 memory: 26528 grad_norm: 0.8617 loss: 1.1212 grounding_loss_reg: 3.3345 detection_loss_cls: 0.0487 detection_loss_reg: 0.4343 caption_loss_cls: 2.3926 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.7802 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:00:38 - mmengine - INFO - Iter(train) [226800/480000] base_lr: 1.0954e-04 lr: 2.9882e-05 eta: 6 days, 16:36:41 time: 2.3740 data_time: 0.1462 memory: 25687 grad_norm: 0.8655 loss: 1.1236 grounding_loss_reg: 3.3347 detection_loss_cls: 0.0488 detection_loss_reg: 0.4341 caption_loss_cls: 2.3900 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7774 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:04:25 - mmengine - INFO - Iter(train) [226900/480000] base_lr: 1.0948e-04 lr: 2.9865e-05 eta: 6 days, 16:31:49 time: 2.3811 data_time: 0.1461 memory: 25687 grad_norm: 0.8656 loss: 1.1255 grounding_loss_reg: 3.3363 detection_loss_cls: 0.0487 detection_loss_reg: 0.4340 caption_loss_cls: 2.3885 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7774 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:08:06 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 08:08:06 - mmengine - INFO - Iter(train) [227000/480000] base_lr: 1.0941e-04 lr: 2.9848e-05 eta: 6 days, 16:21:50 time: 2.3806 data_time: 0.1461 memory: 25687 grad_norm: 0.8621 loss: 1.1247 grounding_loss_reg: 3.3360 detection_loss_cls: 0.0490 detection_loss_reg: 0.4354 caption_loss_cls: 2.3869 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7775 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:08:06 - mmengine - INFO - Saving checkpoint at 227000 iterations 2023/10/23 08:13:46 - mmengine - INFO - Iter(train) [227100/480000] base_lr: 1.0935e-04 lr: 2.9831e-05 eta: 6 days, 17:50:25 time: 2.3934 data_time: 0.1457 memory: 26528 grad_norm: 0.8631 loss: 1.1231 grounding_loss_reg: 3.3362 detection_loss_cls: 0.0489 detection_loss_reg: 0.4342 caption_loss_cls: 2.3851 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.7774 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:18:20 - mmengine - INFO - Iter(train) [227200/480000] base_lr: 1.0928e-04 lr: 2.9815e-05 eta: 6 days, 18:21:37 time: 2.4104 data_time: 0.1458 memory: 26528 grad_norm: 0.8677 loss: 1.1268 grounding_loss_reg: 3.3359 detection_loss_cls: 0.0487 detection_loss_reg: 0.4327 caption_loss_cls: 2.3854 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.7792 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:22:44 - mmengine - INFO - Iter(train) [227300/480000] base_lr: 1.0922e-04 lr: 2.9798e-05 eta: 6 days, 18:43:57 time: 2.4185 data_time: 0.1458 memory: 26528 grad_norm: 0.8664 loss: 1.1239 grounding_loss_reg: 3.3347 detection_loss_cls: 0.0488 detection_loss_reg: 0.4328 caption_loss_cls: 2.3842 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.7782 semantic_segmentation_loss_cls: 0.0120 2023/10/23 08:26:52 - mmengine - INFO - Iter(train) [227400/480000] base_lr: 1.0916e-04 lr: 2.9781e-05 eta: 6 days, 18:52:13 time: 2.4302 data_time: 0.1458 memory: 26528 grad_norm: 0.8656 loss: 1.1313 grounding_loss_reg: 3.3360 detection_loss_cls: 0.0494 detection_loss_reg: 0.4354 caption_loss_cls: 2.3837 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7773 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:31:26 - mmengine - INFO - Iter(train) [227500/480000] base_lr: 1.0909e-04 lr: 2.9764e-05 eta: 6 days, 19:20:26 time: 2.4461 data_time: 0.1459 memory: 25687 grad_norm: 0.8619 loss: 1.1313 grounding_loss_reg: 3.3362 detection_loss_cls: 0.0494 detection_loss_reg: 0.4349 caption_loss_cls: 2.3842 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7786 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:31:26 - mmengine - INFO - Saving checkpoint at 227500 iterations 2023/10/23 08:36:51 - mmengine - INFO - Iter(train) [227600/480000] base_lr: 1.0903e-04 lr: 2.9748e-05 eta: 6 days, 20:25:50 time: 2.4594 data_time: 0.1460 memory: 26528 grad_norm: 0.8583 loss: 1.1273 grounding_loss_reg: 3.3371 detection_loss_cls: 0.0495 detection_loss_reg: 0.4348 caption_loss_cls: 2.3845 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7783 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:40:54 - mmengine - INFO - Iter(train) [227700/480000] base_lr: 1.0896e-04 lr: 2.9731e-05 eta: 6 days, 20:28:00 time: 2.4685 data_time: 0.1460 memory: 26528 grad_norm: 0.8562 loss: 1.1191 grounding_loss_reg: 3.3364 detection_loss_cls: 0.0494 detection_loss_reg: 0.4349 caption_loss_cls: 2.3834 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7787 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:45:18 - mmengine - INFO - Iter(train) [227800/480000] base_lr: 1.0890e-04 lr: 2.9714e-05 eta: 6 days, 20:45:35 time: 2.4835 data_time: 0.1459 memory: 25687 grad_norm: 0.8549 loss: 1.1161 grounding_loss_reg: 3.3368 detection_loss_cls: 0.0494 detection_loss_reg: 0.4342 caption_loss_cls: 2.3834 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7787 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:49:54 - mmengine - INFO - Iter(train) [227900/480000] base_lr: 1.0883e-04 lr: 2.9697e-05 eta: 6 days, 21:10:49 time: 2.4970 data_time: 0.1459 memory: 25687 grad_norm: 0.8549 loss: 1.1152 grounding_loss_reg: 3.3371 detection_loss_cls: 0.0494 detection_loss_reg: 0.4343 caption_loss_cls: 2.3837 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7779 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:53:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 08:53:54 - mmengine - INFO - Iter(train) [228000/480000] base_lr: 1.0877e-04 lr: 2.9681e-05 eta: 6 days, 21:09:50 time: 2.5086 data_time: 0.1459 memory: 26528 grad_norm: 0.8547 loss: 1.1144 grounding_loss_reg: 3.3377 detection_loss_cls: 0.0494 detection_loss_reg: 0.4348 caption_loss_cls: 2.3858 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7774 semantic_segmentation_loss_cls: 0.0119 2023/10/23 08:53:54 - mmengine - INFO - Saving checkpoint at 228000 iterations 2023/10/23 08:59:05 - mmengine - INFO - Iter(train) [228100/480000] base_lr: 1.0870e-04 lr: 2.9664e-05 eta: 6 days, 21:57:30 time: 2.5202 data_time: 0.1462 memory: 26528 grad_norm: 0.8560 loss: 1.1095 grounding_loss_reg: 3.3354 detection_loss_cls: 0.0494 detection_loss_reg: 0.4338 caption_loss_cls: 2.3836 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7772 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:03:28 - mmengine - INFO - Iter(train) [228200/480000] base_lr: 1.0864e-04 lr: 2.9647e-05 eta: 6 days, 22:10:57 time: 2.5327 data_time: 0.1462 memory: 26528 grad_norm: 0.8521 loss: 1.1029 grounding_loss_reg: 3.3341 detection_loss_cls: 0.0492 detection_loss_reg: 0.4315 caption_loss_cls: 2.3816 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7761 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:07:55 - mmengine - INFO - Iter(train) [228300/480000] base_lr: 1.0857e-04 lr: 2.9630e-05 eta: 6 days, 22:26:37 time: 2.5478 data_time: 0.1463 memory: 25687 grad_norm: 0.8494 loss: 1.1001 grounding_loss_reg: 3.3326 detection_loss_cls: 0.0493 detection_loss_reg: 0.4320 caption_loss_cls: 2.3815 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7747 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:11:46 - mmengine - INFO - Iter(train) [228400/480000] base_lr: 1.0851e-04 lr: 2.9614e-05 eta: 6 days, 22:18:01 time: 2.5564 data_time: 0.1463 memory: 26528 grad_norm: 0.8450 loss: 1.0917 grounding_loss_reg: 3.3317 detection_loss_cls: 0.0493 detection_loss_reg: 0.4323 caption_loss_cls: 2.3808 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7741 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:16:16 - mmengine - INFO - Iter(train) [228500/480000] base_lr: 1.0845e-04 lr: 2.9597e-05 eta: 6 days, 22:34:41 time: 2.5742 data_time: 0.1463 memory: 25687 grad_norm: 0.8432 loss: 1.0878 grounding_loss_reg: 3.3313 detection_loss_cls: 0.0494 detection_loss_reg: 0.4328 caption_loss_cls: 2.3813 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7730 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:16:16 - mmengine - INFO - Saving checkpoint at 228500 iterations 2023/10/23 09:21:31 - mmengine - INFO - Iter(train) [228600/480000] base_lr: 1.0838e-04 lr: 2.9580e-05 eta: 6 days, 23:19:21 time: 2.5835 data_time: 0.1459 memory: 26528 grad_norm: 0.8430 loss: 1.0841 grounding_loss_reg: 3.3293 detection_loss_cls: 0.0494 detection_loss_reg: 0.4333 caption_loss_cls: 2.3817 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7733 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:25:35 - mmengine - INFO - Iter(train) [228700/480000] base_lr: 1.0832e-04 lr: 2.9563e-05 eta: 6 days, 23:17:41 time: 2.5830 data_time: 0.1458 memory: 25687 grad_norm: 0.8436 loss: 1.0862 grounding_loss_reg: 3.3288 detection_loss_cls: 0.0493 detection_loss_reg: 0.4336 caption_loss_cls: 2.3816 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7738 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:29:43 - mmengine - INFO - Iter(train) [228800/480000] base_lr: 1.0825e-04 lr: 2.9547e-05 eta: 6 days, 23:19:11 time: 2.5902 data_time: 0.1458 memory: 25687 grad_norm: 0.8368 loss: 1.0811 grounding_loss_reg: 3.3296 detection_loss_cls: 0.0495 detection_loss_reg: 0.4345 caption_loss_cls: 2.3813 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7740 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:33:28 - mmengine - INFO - Iter(train) [228900/480000] base_lr: 1.0819e-04 lr: 2.9530e-05 eta: 6 days, 23:05:44 time: 2.5932 data_time: 0.1458 memory: 25687 grad_norm: 0.8403 loss: 1.0825 grounding_loss_reg: 3.3293 detection_loss_cls: 0.0495 detection_loss_reg: 0.4342 caption_loss_cls: 2.3804 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7742 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:37:07 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 09:37:07 - mmengine - INFO - Iter(train) [229000/480000] base_lr: 1.0812e-04 lr: 2.9513e-05 eta: 6 days, 22:49:38 time: 2.5901 data_time: 0.1457 memory: 26528 grad_norm: 0.8435 loss: 1.0821 grounding_loss_reg: 3.3301 detection_loss_cls: 0.0494 detection_loss_reg: 0.4344 caption_loss_cls: 2.3838 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7741 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:37:07 - mmengine - INFO - Saving checkpoint at 229000 iterations 2023/10/23 09:42:01 - mmengine - INFO - Iter(train) [229100/480000] base_lr: 1.0806e-04 lr: 2.9496e-05 eta: 6 days, 23:17:50 time: 2.5873 data_time: 0.1450 memory: 26528 grad_norm: 0.8476 loss: 1.0931 grounding_loss_reg: 3.3287 detection_loss_cls: 0.0497 detection_loss_reg: 0.4352 caption_loss_cls: 2.3861 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7753 semantic_segmentation_loss_cls: 0.0119 2023/10/23 09:46:02 - mmengine - INFO - Iter(train) [229200/480000] base_lr: 1.0799e-04 lr: 2.9480e-05 eta: 6 days, 23:14:26 time: 2.5908 data_time: 0.1451 memory: 25687 grad_norm: 0.8446 loss: 1.0922 grounding_loss_reg: 3.3279 detection_loss_cls: 0.0497 detection_loss_reg: 0.4363 caption_loss_cls: 2.3841 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7760 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:50:25 - mmengine - INFO - Iter(train) [229300/480000] base_lr: 1.0793e-04 lr: 2.9463e-05 eta: 6 days, 23:23:41 time: 2.5926 data_time: 0.1451 memory: 26528 grad_norm: 0.8446 loss: 1.0901 grounding_loss_reg: 3.3290 detection_loss_cls: 0.0499 detection_loss_reg: 0.4365 caption_loss_cls: 2.3807 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7781 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:54:34 - mmengine - INFO - Iter(train) [229400/480000] base_lr: 1.0786e-04 lr: 2.9446e-05 eta: 6 days, 23:24:34 time: 2.6017 data_time: 0.1450 memory: 26528 grad_norm: 0.8437 loss: 1.0858 grounding_loss_reg: 3.3295 detection_loss_cls: 0.0499 detection_loss_reg: 0.4364 caption_loss_cls: 2.3789 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7766 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:59:11 - mmengine - INFO - Iter(train) [229500/480000] base_lr: 1.0780e-04 lr: 2.9429e-05 eta: 6 days, 23:40:27 time: 2.6115 data_time: 0.1450 memory: 25687 grad_norm: 0.8412 loss: 1.0882 grounding_loss_reg: 3.3299 detection_loss_cls: 0.0497 detection_loss_reg: 0.4357 caption_loss_cls: 2.3773 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7770 semantic_segmentation_loss_cls: 0.0120 2023/10/23 09:59:11 - mmengine - INFO - Saving checkpoint at 229500 iterations 2023/10/23 10:04:17 - mmengine - INFO - Iter(train) [229600/480000] base_lr: 1.0773e-04 lr: 2.9413e-05 eta: 7 days, 0:12:23 time: 2.6195 data_time: 0.1451 memory: 25687 grad_norm: 0.8380 loss: 1.0876 grounding_loss_reg: 3.3298 detection_loss_cls: 0.0496 detection_loss_reg: 0.4357 caption_loss_cls: 2.3779 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7763 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:08:22 - mmengine - INFO - Iter(train) [229700/480000] base_lr: 1.0767e-04 lr: 2.9396e-05 eta: 7 days, 0:09:40 time: 2.6197 data_time: 0.1451 memory: 26528 grad_norm: 0.8437 loss: 1.0855 grounding_loss_reg: 3.3284 detection_loss_cls: 0.0494 detection_loss_reg: 0.4347 caption_loss_cls: 2.3743 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0120 2023/10/23 10:12:40 - mmengine - INFO - Iter(train) [229800/480000] base_lr: 1.0760e-04 lr: 2.9379e-05 eta: 7 days, 0:14:19 time: 2.6219 data_time: 0.1450 memory: 26528 grad_norm: 0.8496 loss: 1.0871 grounding_loss_reg: 3.3282 detection_loss_cls: 0.0495 detection_loss_reg: 0.4340 caption_loss_cls: 2.3750 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7759 semantic_segmentation_loss_cls: 0.0120 2023/10/23 10:16:45 - mmengine - INFO - Iter(train) [229900/480000] base_lr: 1.0754e-04 lr: 2.9362e-05 eta: 7 days, 0:11:54 time: 2.6312 data_time: 0.1451 memory: 26528 grad_norm: 0.8525 loss: 1.0958 grounding_loss_reg: 3.3277 detection_loss_cls: 0.0494 detection_loss_reg: 0.4337 caption_loss_cls: 2.3788 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7752 semantic_segmentation_loss_cls: 0.0120 2023/10/23 10:20:55 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 10:20:55 - mmengine - INFO - Iter(train) [230000/480000] base_lr: 1.0748e-04 lr: 2.9346e-05 eta: 7 days, 0:12:11 time: 2.6363 data_time: 0.1451 memory: 26528 grad_norm: 0.8486 loss: 1.0920 grounding_loss_reg: 3.3284 detection_loss_cls: 0.0492 detection_loss_reg: 0.4328 caption_loss_cls: 2.3788 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7751 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:20:55 - mmengine - INFO - Saving checkpoint at 230000 iterations 2023/10/23 10:26:33 - mmengine - INFO - Iter(train) [230100/480000] base_lr: 1.0741e-04 lr: 2.9329e-05 eta: 7 days, 0:57:12 time: 2.6431 data_time: 0.1452 memory: 26528 grad_norm: 0.8468 loss: 1.0934 grounding_loss_reg: 3.3277 detection_loss_cls: 0.0490 detection_loss_reg: 0.4315 caption_loss_cls: 2.3780 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7756 semantic_segmentation_loss_cls: 0.0120 2023/10/23 10:30:44 - mmengine - INFO - Iter(train) [230200/480000] base_lr: 1.0735e-04 lr: 2.9312e-05 eta: 7 days, 0:56:55 time: 2.6419 data_time: 0.1452 memory: 25687 grad_norm: 0.8485 loss: 1.0918 grounding_loss_reg: 3.3272 detection_loss_cls: 0.0489 detection_loss_reg: 0.4304 caption_loss_cls: 2.3781 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7764 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:35:19 - mmengine - INFO - Iter(train) [230300/480000] base_lr: 1.0728e-04 lr: 2.9295e-05 eta: 7 days, 1:08:32 time: 2.6551 data_time: 0.1453 memory: 26528 grad_norm: 0.8485 loss: 1.0888 grounding_loss_reg: 3.3263 detection_loss_cls: 0.0490 detection_loss_reg: 0.4315 caption_loss_cls: 2.3757 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7754 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:39:43 - mmengine - INFO - Iter(train) [230400/480000] base_lr: 1.0722e-04 lr: 2.9278e-05 eta: 7 days, 1:14:32 time: 2.6635 data_time: 0.1453 memory: 26528 grad_norm: 0.8474 loss: 1.0892 grounding_loss_reg: 3.3257 detection_loss_cls: 0.0492 detection_loss_reg: 0.4321 caption_loss_cls: 2.3755 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7768 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:43:49 - mmengine - INFO - Iter(train) [230500/480000] base_lr: 1.0715e-04 lr: 2.9262e-05 eta: 7 days, 1:11:29 time: 2.6641 data_time: 0.1453 memory: 25687 grad_norm: 0.8490 loss: 1.0948 grounding_loss_reg: 3.3234 detection_loss_cls: 0.0493 detection_loss_reg: 0.4318 caption_loss_cls: 2.3731 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7761 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:43:49 - mmengine - INFO - Saving checkpoint at 230500 iterations 2023/10/23 10:49:13 - mmengine - INFO - Iter(train) [230600/480000] base_lr: 1.0709e-04 lr: 2.9245e-05 eta: 7 days, 1:46:02 time: 2.6666 data_time: 0.1448 memory: 26528 grad_norm: 0.8481 loss: 1.0931 grounding_loss_reg: 3.3228 detection_loss_cls: 0.0493 detection_loss_reg: 0.4327 caption_loss_cls: 2.3749 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7760 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:53:15 - mmengine - INFO - Iter(train) [230700/480000] base_lr: 1.0702e-04 lr: 2.9228e-05 eta: 7 days, 1:40:09 time: 2.6600 data_time: 0.1447 memory: 26528 grad_norm: 0.8483 loss: 1.0970 grounding_loss_reg: 3.3231 detection_loss_cls: 0.0493 detection_loss_reg: 0.4325 caption_loss_cls: 2.3792 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0119 2023/10/23 10:57:14 - mmengine - INFO - Iter(train) [230800/480000] base_lr: 1.0696e-04 lr: 2.9211e-05 eta: 7 days, 1:33:28 time: 2.6485 data_time: 0.1447 memory: 25687 grad_norm: 0.8563 loss: 1.1047 grounding_loss_reg: 3.3212 detection_loss_cls: 0.0492 detection_loss_reg: 0.4325 caption_loss_cls: 2.3822 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7751 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:01:33 - mmengine - INFO - Iter(train) [230900/480000] base_lr: 1.0689e-04 lr: 2.9195e-05 eta: 7 days, 1:36:04 time: 2.6566 data_time: 0.1448 memory: 26528 grad_norm: 0.8566 loss: 1.1035 grounding_loss_reg: 3.3188 detection_loss_cls: 0.0493 detection_loss_reg: 0.4322 caption_loss_cls: 2.3808 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7757 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:05:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 11:05:53 - mmengine - INFO - Iter(train) [231000/480000] base_lr: 1.0683e-04 lr: 2.9178e-05 eta: 7 days, 1:38:44 time: 2.6663 data_time: 0.1449 memory: 25687 grad_norm: 0.8511 loss: 1.1012 grounding_loss_reg: 3.3174 detection_loss_cls: 0.0496 detection_loss_reg: 0.4338 caption_loss_cls: 2.3807 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7755 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:05:53 - mmengine - INFO - Saving checkpoint at 231000 iterations 2023/10/23 11:11:02 - mmengine - INFO - Iter(train) [231100/480000] base_lr: 1.0676e-04 lr: 2.9161e-05 eta: 7 days, 2:03:26 time: 2.6584 data_time: 0.1452 memory: 25687 grad_norm: 0.8479 loss: 1.0992 grounding_loss_reg: 3.3181 detection_loss_cls: 0.0496 detection_loss_reg: 0.4343 caption_loss_cls: 2.3730 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7769 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:15:14 - mmengine - INFO - Iter(train) [231200/480000] base_lr: 1.0670e-04 lr: 2.9144e-05 eta: 7 days, 2:02:21 time: 2.6531 data_time: 0.1451 memory: 25687 grad_norm: 0.8435 loss: 1.0995 grounding_loss_reg: 3.3169 detection_loss_cls: 0.0495 detection_loss_reg: 0.4327 caption_loss_cls: 2.3735 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7787 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:19:10 - mmengine - INFO - Iter(train) [231300/480000] base_lr: 1.0663e-04 lr: 2.9128e-05 eta: 7 days, 1:53:35 time: 2.6460 data_time: 0.1450 memory: 25687 grad_norm: 0.8477 loss: 1.1077 grounding_loss_reg: 3.3175 detection_loss_cls: 0.0494 detection_loss_reg: 0.4328 caption_loss_cls: 2.3735 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7775 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:23:20 - mmengine - INFO - Iter(train) [231400/480000] base_lr: 1.0657e-04 lr: 2.9111e-05 eta: 7 days, 1:51:05 time: 2.6465 data_time: 0.1451 memory: 26528 grad_norm: 0.8440 loss: 1.0982 grounding_loss_reg: 3.3174 detection_loss_cls: 0.0495 detection_loss_reg: 0.4339 caption_loss_cls: 2.3639 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7753 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:27:15 - mmengine - INFO - Iter(train) [231500/480000] base_lr: 1.0651e-04 lr: 2.9094e-05 eta: 7 days, 1:42:31 time: 2.6369 data_time: 0.1449 memory: 25687 grad_norm: 0.8466 loss: 1.0989 grounding_loss_reg: 3.3175 detection_loss_cls: 0.0495 detection_loss_reg: 0.4340 caption_loss_cls: 2.3658 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7737 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:27:15 - mmengine - INFO - Saving checkpoint at 231500 iterations 2023/10/23 11:32:41 - mmengine - INFO - Iter(train) [231600/480000] base_lr: 1.0644e-04 lr: 2.9077e-05 eta: 7 days, 2:12:44 time: 2.6370 data_time: 0.1444 memory: 25687 grad_norm: 0.8498 loss: 1.0984 grounding_loss_reg: 3.3171 detection_loss_cls: 0.0495 detection_loss_reg: 0.4341 caption_loss_cls: 2.3636 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7744 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:36:46 - mmengine - INFO - Iter(train) [231700/480000] base_lr: 1.0638e-04 lr: 2.9060e-05 eta: 7 days, 2:07:54 time: 2.6376 data_time: 0.1444 memory: 25687 grad_norm: 0.8505 loss: 1.1024 grounding_loss_reg: 3.3183 detection_loss_cls: 0.0494 detection_loss_reg: 0.4343 caption_loss_cls: 2.3664 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7758 semantic_segmentation_loss_cls: 0.0119 2023/10/23 11:41:19 - mmengine - INFO - Iter(train) [231800/480000] base_lr: 1.0631e-04 lr: 2.9044e-05 eta: 7 days, 2:14:50 time: 2.6397 data_time: 0.1444 memory: 26528 grad_norm: 0.8525 loss: 1.1053 grounding_loss_reg: 3.3174 detection_loss_cls: 0.0498 detection_loss_reg: 0.4354 caption_loss_cls: 2.3660 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7770 semantic_segmentation_loss_cls: 0.0118 2023/10/23 11:45:25 - mmengine - INFO - Iter(train) [231900/480000] base_lr: 1.0625e-04 lr: 2.9027e-05 eta: 7 days, 2:10:36 time: 2.6323 data_time: 0.1445 memory: 26528 grad_norm: 0.8529 loss: 1.1041 grounding_loss_reg: 3.3164 detection_loss_cls: 0.0499 detection_loss_reg: 0.4359 caption_loss_cls: 2.3664 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7781 semantic_segmentation_loss_cls: 0.0118 2023/10/23 11:49:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 11:49:34 - mmengine - INFO - Iter(train) [232000/480000] base_lr: 1.0618e-04 lr: 2.9010e-05 eta: 7 days, 2:07:14 time: 2.6345 data_time: 0.1445 memory: 25687 grad_norm: 0.8557 loss: 1.1047 grounding_loss_reg: 3.3123 detection_loss_cls: 0.0502 detection_loss_reg: 0.4374 caption_loss_cls: 2.3647 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7787 semantic_segmentation_loss_cls: 0.0118 2023/10/23 11:49:34 - mmengine - INFO - Saving checkpoint at 232000 iterations 2023/10/23 11:55:25 - mmengine - INFO - Iter(train) [232100/480000] base_lr: 1.0612e-04 lr: 2.8993e-05 eta: 7 days, 2:45:35 time: 2.6445 data_time: 0.1446 memory: 26528 grad_norm: 0.8572 loss: 1.1107 grounding_loss_reg: 3.3113 detection_loss_cls: 0.0500 detection_loss_reg: 0.4368 caption_loss_cls: 2.3647 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7785 semantic_segmentation_loss_cls: 0.0118 2023/10/23 11:59:49 - mmengine - INFO - Iter(train) [232200/480000] base_lr: 1.0605e-04 lr: 2.8977e-05 eta: 7 days, 2:48:06 time: 2.6448 data_time: 0.1446 memory: 25687 grad_norm: 0.8562 loss: 1.1088 grounding_loss_reg: 3.3112 detection_loss_cls: 0.0500 detection_loss_reg: 0.4376 caption_loss_cls: 2.3613 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7776 semantic_segmentation_loss_cls: 0.0118 2023/10/23 12:04:16 - mmengine - INFO - Iter(train) [232300/480000] base_lr: 1.0599e-04 lr: 2.8960e-05 eta: 7 days, 2:51:22 time: 2.6447 data_time: 0.1446 memory: 26528 grad_norm: 0.8562 loss: 1.1109 grounding_loss_reg: 3.3099 detection_loss_cls: 0.0503 detection_loss_reg: 0.4391 caption_loss_cls: 2.3569 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7787 semantic_segmentation_loss_cls: 0.0118 2023/10/23 12:07:24 - mmengine - INFO - Iter(train) [232400/480000] base_lr: 1.0592e-04 lr: 2.8943e-05 eta: 7 days, 2:23:20 time: 2.6340 data_time: 0.1445 memory: 25687 grad_norm: 0.8626 loss: 1.1176 grounding_loss_reg: 3.3074 detection_loss_cls: 0.0503 detection_loss_reg: 0.4397 caption_loss_cls: 2.3576 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7790 semantic_segmentation_loss_cls: 0.0118 2023/10/23 12:11:56 - mmengine - INFO - Iter(train) [232500/480000] base_lr: 1.0586e-04 lr: 2.8926e-05 eta: 7 days, 2:28:33 time: 2.6344 data_time: 0.1445 memory: 25687 grad_norm: 0.8644 loss: 1.1208 grounding_loss_reg: 3.3068 detection_loss_cls: 0.0504 detection_loss_reg: 0.4402 caption_loss_cls: 2.3581 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7791 semantic_segmentation_loss_cls: 0.0118 2023/10/23 12:11:56 - mmengine - INFO - Saving checkpoint at 232500 iterations 2023/10/23 12:17:03 - mmengine - INFO - Iter(train) [232600/480000] base_lr: 1.0579e-04 lr: 2.8909e-05 eta: 7 days, 2:47:20 time: 2.6324 data_time: 0.1444 memory: 26528 grad_norm: 0.8677 loss: 1.1219 grounding_loss_reg: 3.3052 detection_loss_cls: 0.0503 detection_loss_reg: 0.4400 caption_loss_cls: 2.3535 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7803 semantic_segmentation_loss_cls: 0.0118 2023/10/23 12:20:48 - mmengine - INFO - Iter(train) [232700/480000] base_lr: 1.0573e-04 lr: 2.8893e-05 eta: 7 days, 2:34:09 time: 2.6278 data_time: 0.1444 memory: 26528 grad_norm: 0.8681 loss: 1.1219 grounding_loss_reg: 3.3043 detection_loss_cls: 0.0502 detection_loss_reg: 0.4396 caption_loss_cls: 2.3530 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7805 semantic_segmentation_loss_cls: 0.0118 2023/10/23 12:24:44 - mmengine - INFO - Iter(train) [232800/480000] base_lr: 1.0566e-04 lr: 2.8876e-05 eta: 7 days, 2:25:18 time: 2.6246 data_time: 0.1444 memory: 26528 grad_norm: 0.8712 loss: 1.1258 grounding_loss_reg: 3.3037 detection_loss_cls: 0.0501 detection_loss_reg: 0.4398 caption_loss_cls: 2.3527 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7802 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:28:59 - mmengine - INFO - Iter(train) [232900/480000] base_lr: 1.0560e-04 lr: 2.8859e-05 eta: 7 days, 2:23:52 time: 2.6324 data_time: 0.1444 memory: 26528 grad_norm: 0.8681 loss: 1.1247 grounding_loss_reg: 3.3025 detection_loss_cls: 0.0503 detection_loss_reg: 0.4405 caption_loss_cls: 2.3538 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7791 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:33:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 12:33:04 - mmengine - INFO - Iter(train) [233000/480000] base_lr: 1.0553e-04 lr: 2.8842e-05 eta: 7 days, 2:18:29 time: 2.6388 data_time: 0.1444 memory: 26528 grad_norm: 0.8631 loss: 1.1193 grounding_loss_reg: 3.3020 detection_loss_cls: 0.0504 detection_loss_reg: 0.4418 caption_loss_cls: 2.3522 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7804 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:33:04 - mmengine - INFO - Saving checkpoint at 233000 iterations 2023/10/23 12:38:25 - mmengine - INFO - Iter(train) [233100/480000] base_lr: 1.0547e-04 lr: 2.8826e-05 eta: 7 days, 2:41:05 time: 2.6454 data_time: 0.1442 memory: 25687 grad_norm: 0.8580 loss: 1.1134 grounding_loss_reg: 3.3035 detection_loss_cls: 0.0504 detection_loss_reg: 0.4422 caption_loss_cls: 2.3519 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7802 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:42:31 - mmengine - INFO - Iter(train) [233200/480000] base_lr: 1.0541e-04 lr: 2.8809e-05 eta: 7 days, 2:36:05 time: 2.6468 data_time: 0.1442 memory: 26528 grad_norm: 0.8599 loss: 1.1142 grounding_loss_reg: 3.3020 detection_loss_cls: 0.0505 detection_loss_reg: 0.4415 caption_loss_cls: 2.3544 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7814 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:46:36 - mmengine - INFO - Iter(train) [233300/480000] base_lr: 1.0534e-04 lr: 2.8792e-05 eta: 7 days, 2:30:35 time: 2.6423 data_time: 0.1441 memory: 25687 grad_norm: 0.8606 loss: 1.1106 grounding_loss_reg: 3.3011 detection_loss_cls: 0.0504 detection_loss_reg: 0.4411 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7818 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:50:38 - mmengine - INFO - Iter(train) [233400/480000] base_lr: 1.0528e-04 lr: 2.8775e-05 eta: 7 days, 2:23:56 time: 2.6405 data_time: 0.1441 memory: 26528 grad_norm: 0.8587 loss: 1.1079 grounding_loss_reg: 3.3010 detection_loss_cls: 0.0505 detection_loss_reg: 0.4419 caption_loss_cls: 2.3532 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7818 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:54:59 - mmengine - INFO - Iter(train) [233500/480000] base_lr: 1.0521e-04 lr: 2.8758e-05 eta: 7 days, 2:23:51 time: 2.6365 data_time: 0.1441 memory: 25687 grad_norm: 0.8564 loss: 1.1046 grounding_loss_reg: 3.3002 detection_loss_cls: 0.0506 detection_loss_reg: 0.4422 caption_loss_cls: 2.3519 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7807 semantic_segmentation_loss_cls: 0.0117 2023/10/23 12:54:59 - mmengine - INFO - Saving checkpoint at 233500 iterations 2023/10/23 13:00:04 - mmengine - INFO - Iter(train) [233600/480000] base_lr: 1.0515e-04 lr: 2.8742e-05 eta: 7 days, 2:39:40 time: 2.6362 data_time: 0.1435 memory: 26528 grad_norm: 0.8582 loss: 1.1062 grounding_loss_reg: 3.3010 detection_loss_cls: 0.0505 detection_loss_reg: 0.4424 caption_loss_cls: 2.3494 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7820 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:04:41 - mmengine - INFO - Iter(train) [233700/480000] base_lr: 1.0508e-04 lr: 2.8725e-05 eta: 7 days, 2:45:17 time: 2.6444 data_time: 0.1435 memory: 25687 grad_norm: 0.8579 loss: 1.1055 grounding_loss_reg: 3.3015 detection_loss_cls: 0.0505 detection_loss_reg: 0.4417 caption_loss_cls: 2.3466 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7805 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:09:34 - mmengine - INFO - Iter(train) [233800/480000] base_lr: 1.0502e-04 lr: 2.8708e-05 eta: 7 days, 2:56:10 time: 2.6531 data_time: 0.1435 memory: 26528 grad_norm: 0.8537 loss: 1.1061 grounding_loss_reg: 3.3043 detection_loss_cls: 0.0506 detection_loss_reg: 0.4427 caption_loss_cls: 2.3457 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7788 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:14:02 - mmengine - INFO - Iter(train) [233900/480000] base_lr: 1.0495e-04 lr: 2.8691e-05 eta: 7 days, 2:58:12 time: 2.6588 data_time: 0.1435 memory: 25687 grad_norm: 0.8535 loss: 1.1020 grounding_loss_reg: 3.3037 detection_loss_cls: 0.0507 detection_loss_reg: 0.4430 caption_loss_cls: 2.3471 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7793 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:17:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 13:17:37 - mmengine - INFO - Iter(train) [234000/480000] base_lr: 1.0489e-04 lr: 2.8675e-05 eta: 7 days, 2:42:07 time: 2.6500 data_time: 0.1434 memory: 26528 grad_norm: 0.8647 loss: 1.1107 grounding_loss_reg: 3.3041 detection_loss_cls: 0.0506 detection_loss_reg: 0.4438 caption_loss_cls: 2.3475 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7790 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:17:37 - mmengine - INFO - Saving checkpoint at 234000 iterations 2023/10/23 13:22:42 - mmengine - INFO - Iter(train) [234100/480000] base_lr: 1.0482e-04 lr: 2.8658e-05 eta: 7 days, 2:56:36 time: 2.6418 data_time: 0.1428 memory: 26528 grad_norm: 0.8635 loss: 1.1128 grounding_loss_reg: 3.3038 detection_loss_cls: 0.0505 detection_loss_reg: 0.4440 caption_loss_cls: 2.3510 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7792 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:26:54 - mmengine - INFO - Iter(train) [234200/480000] base_lr: 1.0476e-04 lr: 2.8641e-05 eta: 7 days, 2:52:50 time: 2.6420 data_time: 0.1429 memory: 26528 grad_norm: 0.8657 loss: 1.1174 grounding_loss_reg: 3.3036 detection_loss_cls: 0.0506 detection_loss_reg: 0.4437 caption_loss_cls: 2.3514 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7781 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:30:51 - mmengine - INFO - Iter(train) [234300/480000] base_lr: 1.0469e-04 lr: 2.8624e-05 eta: 7 days, 2:44:13 time: 2.6325 data_time: 0.1428 memory: 26528 grad_norm: 0.8652 loss: 1.1183 grounding_loss_reg: 3.3027 detection_loss_cls: 0.0508 detection_loss_reg: 0.4450 caption_loss_cls: 2.3514 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7782 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:35:09 - mmengine - INFO - Iter(train) [234400/480000] base_lr: 1.0463e-04 lr: 2.8607e-05 eta: 7 days, 2:42:47 time: 2.6311 data_time: 0.1428 memory: 26528 grad_norm: 0.8662 loss: 1.1145 grounding_loss_reg: 3.3024 detection_loss_cls: 0.0507 detection_loss_reg: 0.4452 caption_loss_cls: 2.3495 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7776 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:39:40 - mmengine - INFO - Iter(train) [234500/480000] base_lr: 1.0456e-04 lr: 2.8591e-05 eta: 7 days, 2:45:19 time: 2.6372 data_time: 0.1428 memory: 26528 grad_norm: 0.8628 loss: 1.1172 grounding_loss_reg: 3.3033 detection_loss_cls: 0.0507 detection_loss_reg: 0.4460 caption_loss_cls: 2.3506 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7777 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:39:40 - mmengine - INFO - Saving checkpoint at 234500 iterations 2023/10/23 13:45:07 - mmengine - INFO - Iter(train) [234600/480000] base_lr: 1.0450e-04 lr: 2.8574e-05 eta: 7 days, 3:06:09 time: 2.6381 data_time: 0.1433 memory: 25687 grad_norm: 0.8689 loss: 1.1214 grounding_loss_reg: 3.3026 detection_loss_cls: 0.0508 detection_loss_reg: 0.4466 caption_loss_cls: 2.3449 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7776 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:49:20 - mmengine - INFO - Iter(train) [234700/480000] base_lr: 1.0443e-04 lr: 2.8557e-05 eta: 7 days, 3:02:25 time: 2.6408 data_time: 0.1434 memory: 25687 grad_norm: 0.8724 loss: 1.1270 grounding_loss_reg: 3.3018 detection_loss_cls: 0.0507 detection_loss_reg: 0.4465 caption_loss_cls: 2.3467 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7778 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:54:13 - mmengine - INFO - Iter(train) [234800/480000] base_lr: 1.0437e-04 lr: 2.8540e-05 eta: 7 days, 3:11:35 time: 2.6542 data_time: 0.1434 memory: 26528 grad_norm: 0.8580 loss: 1.1156 grounding_loss_reg: 3.3025 detection_loss_cls: 0.0508 detection_loss_reg: 0.4462 caption_loss_cls: 2.3478 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7772 semantic_segmentation_loss_cls: 0.0117 2023/10/23 13:58:35 - mmengine - INFO - Iter(train) [234900/480000] base_lr: 1.0430e-04 lr: 2.8523e-05 eta: 7 days, 3:10:58 time: 2.6550 data_time: 0.1434 memory: 26528 grad_norm: 0.8549 loss: 1.1170 grounding_loss_reg: 3.3024 detection_loss_cls: 0.0509 detection_loss_reg: 0.4468 caption_loss_cls: 2.3505 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0118 2023/10/23 14:02:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 14:02:46 - mmengine - INFO - Iter(train) [235000/480000] base_lr: 1.0424e-04 lr: 2.8507e-05 eta: 7 days, 3:06:23 time: 2.6526 data_time: 0.1433 memory: 25687 grad_norm: 0.8569 loss: 1.1158 grounding_loss_reg: 3.3026 detection_loss_cls: 0.0506 detection_loss_reg: 0.4452 caption_loss_cls: 2.3505 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7754 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:02:46 - mmengine - INFO - Saving checkpoint at 235000 iterations 2023/10/23 14:08:18 - mmengine - INFO - Iter(train) [235100/480000] base_lr: 1.0418e-04 lr: 2.8490e-05 eta: 7 days, 3:27:32 time: 2.6587 data_time: 0.1434 memory: 26528 grad_norm: 0.8603 loss: 1.1244 grounding_loss_reg: 3.3027 detection_loss_cls: 0.0499 detection_loss_reg: 0.4430 caption_loss_cls: 2.3515 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7753 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:12:29 - mmengine - INFO - Iter(train) [235200/480000] base_lr: 1.0411e-04 lr: 2.8473e-05 eta: 7 days, 3:22:53 time: 2.6582 data_time: 0.1433 memory: 25687 grad_norm: 0.8649 loss: 1.1201 grounding_loss_reg: 3.3001 detection_loss_cls: 0.0499 detection_loss_reg: 0.4430 caption_loss_cls: 2.3525 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7743 semantic_segmentation_loss_cls: 0.0118 2023/10/23 14:16:22 - mmengine - INFO - Iter(train) [235300/480000] base_lr: 1.0405e-04 lr: 2.8456e-05 eta: 7 days, 3:12:49 time: 2.6575 data_time: 0.1433 memory: 26528 grad_norm: 0.8649 loss: 1.1222 grounding_loss_reg: 3.2993 detection_loss_cls: 0.0500 detection_loss_reg: 0.4430 caption_loss_cls: 2.3546 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7735 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:20:49 - mmengine - INFO - Iter(train) [235400/480000] base_lr: 1.0398e-04 lr: 2.8439e-05 eta: 7 days, 3:13:15 time: 2.6619 data_time: 0.1434 memory: 26528 grad_norm: 0.8649 loss: 1.1314 grounding_loss_reg: 3.2996 detection_loss_cls: 0.0500 detection_loss_reg: 0.4442 caption_loss_cls: 2.3585 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7742 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:24:46 - mmengine - INFO - Iter(train) [235500/480000] base_lr: 1.0392e-04 lr: 2.8423e-05 eta: 7 days, 3:04:24 time: 2.6621 data_time: 0.1434 memory: 25687 grad_norm: 0.8665 loss: 1.1330 grounding_loss_reg: 3.3003 detection_loss_cls: 0.0501 detection_loss_reg: 0.4449 caption_loss_cls: 2.3588 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7733 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:24:46 - mmengine - INFO - Saving checkpoint at 235500 iterations 2023/10/23 14:29:54 - mmengine - INFO - Iter(train) [235600/480000] base_lr: 1.0385e-04 lr: 2.8406e-05 eta: 7 days, 3:17:00 time: 2.6577 data_time: 0.1433 memory: 25687 grad_norm: 0.8704 loss: 1.1432 grounding_loss_reg: 3.3002 detection_loss_cls: 0.0501 detection_loss_reg: 0.4447 caption_loss_cls: 2.3646 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7737 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:34:02 - mmengine - INFO - Iter(train) [235700/480000] base_lr: 1.0379e-04 lr: 2.8389e-05 eta: 7 days, 3:11:26 time: 2.6584 data_time: 0.1432 memory: 26528 grad_norm: 0.8663 loss: 1.1366 grounding_loss_reg: 3.3002 detection_loss_cls: 0.0502 detection_loss_reg: 0.4445 caption_loss_cls: 2.3626 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7723 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:38:42 - mmengine - INFO - Iter(train) [235800/480000] base_lr: 1.0372e-04 lr: 2.8372e-05 eta: 7 days, 3:15:28 time: 2.6603 data_time: 0.1432 memory: 26528 grad_norm: 0.8630 loss: 1.1322 grounding_loss_reg: 3.2995 detection_loss_cls: 0.0502 detection_loss_reg: 0.4444 caption_loss_cls: 2.3579 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7738 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:43:17 - mmengine - INFO - Iter(train) [235900/480000] base_lr: 1.0366e-04 lr: 2.8356e-05 eta: 7 days, 3:17:51 time: 2.6674 data_time: 0.1433 memory: 26528 grad_norm: 0.8626 loss: 1.1350 grounding_loss_reg: 3.2980 detection_loss_cls: 0.0503 detection_loss_reg: 0.4456 caption_loss_cls: 2.3602 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7740 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:47:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 14:47:19 - mmengine - INFO - Iter(train) [236000/480000] base_lr: 1.0359e-04 lr: 2.8339e-05 eta: 7 days, 3:10:38 time: 2.6658 data_time: 0.1433 memory: 25687 grad_norm: 0.8607 loss: 1.1400 grounding_loss_reg: 3.2976 detection_loss_cls: 0.0504 detection_loss_reg: 0.4463 caption_loss_cls: 2.3626 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7735 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:47:19 - mmengine - INFO - Saving checkpoint at 236000 iterations 2023/10/23 14:52:44 - mmengine - INFO - Iter(train) [236100/480000] base_lr: 1.0353e-04 lr: 2.8322e-05 eta: 7 days, 3:27:05 time: 2.6591 data_time: 0.1434 memory: 26528 grad_norm: 0.8631 loss: 1.1467 grounding_loss_reg: 3.2962 detection_loss_cls: 0.0505 detection_loss_reg: 0.4483 caption_loss_cls: 2.3682 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7751 semantic_segmentation_loss_cls: 0.0117 2023/10/23 14:56:54 - mmengine - INFO - Iter(train) [236200/480000] base_lr: 1.0346e-04 lr: 2.8305e-05 eta: 7 days, 3:22:12 time: 2.6557 data_time: 0.1433 memory: 26528 grad_norm: 0.8659 loss: 1.1471 grounding_loss_reg: 3.2953 detection_loss_cls: 0.0505 detection_loss_reg: 0.4492 caption_loss_cls: 2.3607 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7729 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:00:50 - mmengine - INFO - Iter(train) [236300/480000] base_lr: 1.0340e-04 lr: 2.8288e-05 eta: 7 days, 3:13:02 time: 2.6480 data_time: 0.1432 memory: 26528 grad_norm: 0.8675 loss: 1.1446 grounding_loss_reg: 3.2930 detection_loss_cls: 0.0504 detection_loss_reg: 0.4484 caption_loss_cls: 2.3613 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7717 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:04:55 - mmengine - INFO - Iter(train) [236400/480000] base_lr: 1.0333e-04 lr: 2.8272e-05 eta: 7 days, 3:06:27 time: 2.6621 data_time: 0.1433 memory: 25687 grad_norm: 0.8616 loss: 1.1408 grounding_loss_reg: 3.2921 detection_loss_cls: 0.0505 detection_loss_reg: 0.4495 caption_loss_cls: 2.3648 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7730 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:09:18 - mmengine - INFO - Iter(train) [236500/480000] base_lr: 1.0327e-04 lr: 2.8255e-05 eta: 7 days, 3:05:10 time: 2.6600 data_time: 0.1433 memory: 25687 grad_norm: 0.8602 loss: 1.1422 grounding_loss_reg: 3.2919 detection_loss_cls: 0.0507 detection_loss_reg: 0.4502 caption_loss_cls: 2.3673 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7736 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:09:18 - mmengine - INFO - Saving checkpoint at 236500 iterations 2023/10/23 15:14:51 - mmengine - INFO - Iter(train) [236600/480000] base_lr: 1.0320e-04 lr: 2.8238e-05 eta: 7 days, 3:23:05 time: 2.6664 data_time: 0.1438 memory: 26528 grad_norm: 0.8520 loss: 1.1368 grounding_loss_reg: 3.2914 detection_loss_cls: 0.0506 detection_loss_reg: 0.4493 caption_loss_cls: 2.3690 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7737 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:18:49 - mmengine - INFO - Iter(train) [236700/480000] base_lr: 1.0314e-04 lr: 2.8221e-05 eta: 7 days, 3:14:34 time: 2.6697 data_time: 0.1438 memory: 26528 grad_norm: 0.8536 loss: 1.1415 grounding_loss_reg: 3.2897 detection_loss_cls: 0.0508 detection_loss_reg: 0.4491 caption_loss_cls: 2.3672 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7744 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:22:43 - mmengine - INFO - Iter(train) [236800/480000] base_lr: 1.0307e-04 lr: 2.8204e-05 eta: 7 days, 3:05:16 time: 2.6694 data_time: 0.1438 memory: 25687 grad_norm: 0.8536 loss: 1.1377 grounding_loss_reg: 3.2891 detection_loss_cls: 0.0506 detection_loss_reg: 0.4476 caption_loss_cls: 2.3654 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7755 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:27:07 - mmengine - INFO - Iter(train) [236900/480000] base_lr: 1.0301e-04 lr: 2.8188e-05 eta: 7 days, 3:03:42 time: 2.6713 data_time: 0.1438 memory: 26528 grad_norm: 0.8534 loss: 1.1397 grounding_loss_reg: 3.2901 detection_loss_cls: 0.0508 detection_loss_reg: 0.4494 caption_loss_cls: 2.3657 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7763 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:31:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 15:31:16 - mmengine - INFO - Iter(train) [237000/480000] base_lr: 1.0294e-04 lr: 2.8171e-05 eta: 7 days, 2:58:27 time: 2.6725 data_time: 0.1438 memory: 26528 grad_norm: 0.8559 loss: 1.1450 grounding_loss_reg: 3.2888 detection_loss_cls: 0.0507 detection_loss_reg: 0.4494 caption_loss_cls: 2.3628 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7743 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:31:16 - mmengine - INFO - Saving checkpoint at 237000 iterations 2023/10/23 15:36:30 - mmengine - INFO - Iter(train) [237100/480000] base_lr: 1.0288e-04 lr: 2.8154e-05 eta: 7 days, 3:10:34 time: 2.6709 data_time: 0.1439 memory: 25687 grad_norm: 0.8569 loss: 1.1456 grounding_loss_reg: 3.2867 detection_loss_cls: 0.0506 detection_loss_reg: 0.4492 caption_loss_cls: 2.3642 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7765 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:40:44 - mmengine - INFO - Iter(train) [237200/480000] base_lr: 1.0281e-04 lr: 2.8137e-05 eta: 7 days, 3:06:24 time: 2.6728 data_time: 0.1438 memory: 25687 grad_norm: 0.8526 loss: 1.1397 grounding_loss_reg: 3.2863 detection_loss_cls: 0.0504 detection_loss_reg: 0.4480 caption_loss_cls: 2.3644 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7741 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:44:35 - mmengine - INFO - Iter(train) [237300/480000] base_lr: 1.0275e-04 lr: 2.8120e-05 eta: 7 days, 2:56:08 time: 2.6692 data_time: 0.1438 memory: 26528 grad_norm: 0.8557 loss: 1.1452 grounding_loss_reg: 3.2845 detection_loss_cls: 0.0502 detection_loss_reg: 0.4477 caption_loss_cls: 2.3659 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7744 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:49:26 - mmengine - INFO - Iter(train) [237400/480000] base_lr: 1.0269e-04 lr: 2.8104e-05 eta: 7 days, 3:01:33 time: 2.6813 data_time: 0.1447 memory: 25687 grad_norm: 0.8551 loss: 1.1444 grounding_loss_reg: 3.2854 detection_loss_cls: 0.0502 detection_loss_reg: 0.4471 caption_loss_cls: 2.3638 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7736 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:53:47 - mmengine - INFO - Iter(train) [237500/480000] base_lr: 1.0262e-04 lr: 2.8087e-05 eta: 7 days, 2:59:23 time: 2.6817 data_time: 0.1447 memory: 26528 grad_norm: 0.8595 loss: 1.1528 grounding_loss_reg: 3.2851 detection_loss_cls: 0.0502 detection_loss_reg: 0.4471 caption_loss_cls: 2.3608 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7756 semantic_segmentation_loss_cls: 0.0117 2023/10/23 15:53:47 - mmengine - INFO - Saving checkpoint at 237500 iterations 2023/10/23 15:59:08 - mmengine - INFO - Iter(train) [237600/480000] base_lr: 1.0256e-04 lr: 2.8070e-05 eta: 7 days, 3:12:22 time: 2.6855 data_time: 0.1447 memory: 26528 grad_norm: 0.8554 loss: 1.1495 grounding_loss_reg: 3.2845 detection_loss_cls: 0.0504 detection_loss_reg: 0.4489 caption_loss_cls: 2.3602 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7745 semantic_segmentation_loss_cls: 0.0117 2023/10/23 16:03:12 - mmengine - INFO - Iter(train) [237700/480000] base_lr: 1.0249e-04 lr: 2.8053e-05 eta: 7 days, 3:05:29 time: 2.6772 data_time: 0.1447 memory: 25687 grad_norm: 0.8561 loss: 1.1529 grounding_loss_reg: 3.2844 detection_loss_cls: 0.0503 detection_loss_reg: 0.4482 caption_loss_cls: 2.3628 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7736 semantic_segmentation_loss_cls: 0.0117 2023/10/23 16:07:44 - mmengine - INFO - Iter(train) [237800/480000] base_lr: 1.0243e-04 lr: 2.8036e-05 eta: 7 days, 3:05:44 time: 2.6719 data_time: 0.1447 memory: 25687 grad_norm: 0.8558 loss: 1.1504 grounding_loss_reg: 3.2844 detection_loss_cls: 0.0503 detection_loss_reg: 0.4484 caption_loss_cls: 2.3626 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7712 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:11:24 - mmengine - INFO - Iter(train) [237900/480000] base_lr: 1.0236e-04 lr: 2.8020e-05 eta: 7 days, 2:52:48 time: 2.6599 data_time: 0.1447 memory: 26528 grad_norm: 0.8568 loss: 1.1512 grounding_loss_reg: 3.2820 detection_loss_cls: 0.0503 detection_loss_reg: 0.4485 caption_loss_cls: 2.3675 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7712 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:15:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 16:15:40 - mmengine - INFO - Iter(train) [238000/480000] base_lr: 1.0230e-04 lr: 2.8003e-05 eta: 7 days, 2:49:02 time: 2.6701 data_time: 0.1447 memory: 26528 grad_norm: 0.8451 loss: 1.1411 grounding_loss_reg: 3.2820 detection_loss_cls: 0.0502 detection_loss_reg: 0.4474 caption_loss_cls: 2.3691 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7699 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:15:40 - mmengine - INFO - Saving checkpoint at 238000 iterations 2023/10/23 16:20:37 - mmengine - INFO - Iter(train) [238100/480000] base_lr: 1.0223e-04 lr: 2.7986e-05 eta: 7 days, 2:55:31 time: 2.6681 data_time: 0.1447 memory: 25687 grad_norm: 0.8482 loss: 1.1412 grounding_loss_reg: 3.2819 detection_loss_cls: 0.0501 detection_loss_reg: 0.4474 caption_loss_cls: 2.3689 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7706 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:24:33 - mmengine - INFO - Iter(train) [238200/480000] base_lr: 1.0217e-04 lr: 2.7969e-05 eta: 7 days, 2:46:53 time: 2.6644 data_time: 0.1446 memory: 25687 grad_norm: 0.8484 loss: 1.1468 grounding_loss_reg: 3.2818 detection_loss_cls: 0.0503 detection_loss_reg: 0.4478 caption_loss_cls: 2.3700 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7712 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:28:25 - mmengine - INFO - Iter(train) [238300/480000] base_lr: 1.0210e-04 lr: 2.7952e-05 eta: 7 days, 2:37:03 time: 2.6631 data_time: 0.1446 memory: 25687 grad_norm: 0.8504 loss: 1.1490 grounding_loss_reg: 3.2801 detection_loss_cls: 0.0505 detection_loss_reg: 0.4489 caption_loss_cls: 2.3687 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7718 semantic_segmentation_loss_cls: 0.0117 2023/10/23 16:32:14 - mmengine - INFO - Iter(train) [238400/480000] base_lr: 1.0204e-04 lr: 2.7936e-05 eta: 7 days, 2:26:40 time: 2.6558 data_time: 0.1446 memory: 25687 grad_norm: 0.8511 loss: 1.1540 grounding_loss_reg: 3.2801 detection_loss_cls: 0.0504 detection_loss_reg: 0.4485 caption_loss_cls: 2.3674 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7732 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:36:38 - mmengine - INFO - Iter(train) [238500/480000] base_lr: 1.0197e-04 lr: 2.7919e-05 eta: 7 days, 2:24:55 time: 2.6541 data_time: 0.1446 memory: 25687 grad_norm: 0.8538 loss: 1.1508 grounding_loss_reg: 3.2788 detection_loss_cls: 0.0508 detection_loss_reg: 0.4499 caption_loss_cls: 2.3645 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7711 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:36:38 - mmengine - INFO - Saving checkpoint at 238500 iterations 2023/10/23 16:41:58 - mmengine - INFO - Iter(train) [238600/480000] base_lr: 1.0191e-04 lr: 2.7902e-05 eta: 7 days, 2:36:29 time: 2.6521 data_time: 0.1440 memory: 26528 grad_norm: 0.8466 loss: 1.1447 grounding_loss_reg: 3.2775 detection_loss_cls: 0.0504 detection_loss_reg: 0.4491 caption_loss_cls: 2.3667 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7701 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:45:44 - mmengine - INFO - Iter(train) [238700/480000] base_lr: 1.0184e-04 lr: 2.7885e-05 eta: 7 days, 2:25:23 time: 2.6455 data_time: 0.1440 memory: 26528 grad_norm: 0.8463 loss: 1.1437 grounding_loss_reg: 3.2788 detection_loss_cls: 0.0503 detection_loss_reg: 0.4487 caption_loss_cls: 2.3704 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7680 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:49:38 - mmengine - INFO - Iter(train) [238800/480000] base_lr: 1.0178e-04 lr: 2.7868e-05 eta: 7 days, 2:16:28 time: 2.6309 data_time: 0.1439 memory: 25687 grad_norm: 0.8525 loss: 1.1474 grounding_loss_reg: 3.2781 detection_loss_cls: 0.0504 detection_loss_reg: 0.4494 caption_loss_cls: 2.3696 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7685 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:53:53 - mmengine - INFO - Iter(train) [238900/480000] base_lr: 1.0171e-04 lr: 2.7852e-05 eta: 7 days, 2:12:15 time: 2.6288 data_time: 0.1439 memory: 26528 grad_norm: 0.8556 loss: 1.1526 grounding_loss_reg: 3.2775 detection_loss_cls: 0.0501 detection_loss_reg: 0.4471 caption_loss_cls: 2.3713 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7706 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:58:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 16:58:10 - mmengine - INFO - Iter(train) [239000/480000] base_lr: 1.0165e-04 lr: 2.7835e-05 eta: 7 days, 2:08:43 time: 2.6306 data_time: 0.1441 memory: 25687 grad_norm: 0.8582 loss: 1.1611 grounding_loss_reg: 3.2767 detection_loss_cls: 0.0501 detection_loss_reg: 0.4470 caption_loss_cls: 2.3759 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7730 semantic_segmentation_loss_cls: 0.0118 2023/10/23 16:58:10 - mmengine - INFO - Saving checkpoint at 239000 iterations 2023/10/23 17:03:24 - mmengine - INFO - Iter(train) [239100/480000] base_lr: 1.0158e-04 lr: 2.7818e-05 eta: 7 days, 2:18:35 time: 2.6259 data_time: 0.1441 memory: 25687 grad_norm: 0.8631 loss: 1.1598 grounding_loss_reg: 3.2772 detection_loss_cls: 0.0501 detection_loss_reg: 0.4471 caption_loss_cls: 2.3780 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7712 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:07:34 - mmengine - INFO - Iter(train) [239200/480000] base_lr: 1.0152e-04 lr: 2.7801e-05 eta: 7 days, 2:13:15 time: 2.6257 data_time: 0.1442 memory: 26528 grad_norm: 0.8632 loss: 1.1676 grounding_loss_reg: 3.2777 detection_loss_cls: 0.0501 detection_loss_reg: 0.4483 caption_loss_cls: 2.3792 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7729 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:11:40 - mmengine - INFO - Iter(train) [239300/480000] base_lr: 1.0145e-04 lr: 2.7784e-05 eta: 7 days, 2:06:59 time: 2.6290 data_time: 0.1442 memory: 26528 grad_norm: 0.8655 loss: 1.1671 grounding_loss_reg: 3.2767 detection_loss_cls: 0.0500 detection_loss_reg: 0.4478 caption_loss_cls: 2.3793 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7738 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:15:39 - mmengine - INFO - Iter(train) [239400/480000] base_lr: 1.0139e-04 lr: 2.7768e-05 eta: 7 days, 1:59:12 time: 2.6219 data_time: 0.1441 memory: 26528 grad_norm: 0.8644 loss: 1.1590 grounding_loss_reg: 3.2760 detection_loss_cls: 0.0499 detection_loss_reg: 0.4472 caption_loss_cls: 2.3775 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7745 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:19:52 - mmengine - INFO - Iter(train) [239500/480000] base_lr: 1.0132e-04 lr: 2.7751e-05 eta: 7 days, 1:54:32 time: 2.6259 data_time: 0.1442 memory: 26528 grad_norm: 0.8642 loss: 1.1558 grounding_loss_reg: 3.2753 detection_loss_cls: 0.0501 detection_loss_reg: 0.4486 caption_loss_cls: 2.3762 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7743 semantic_segmentation_loss_cls: 0.0117 2023/10/23 17:19:52 - mmengine - INFO - Saving checkpoint at 239500 iterations 2023/10/23 17:25:13 - mmengine - INFO - Iter(train) [239600/480000] base_lr: 1.0126e-04 lr: 2.7734e-05 eta: 7 days, 2:05:39 time: 2.6294 data_time: 0.1443 memory: 25687 grad_norm: 0.8633 loss: 1.1551 grounding_loss_reg: 3.2745 detection_loss_cls: 0.0500 detection_loss_reg: 0.4483 caption_loss_cls: 2.3745 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7767 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:29:41 - mmengine - INFO - Iter(train) [239700/480000] base_lr: 1.0120e-04 lr: 2.7717e-05 eta: 7 days, 2:04:25 time: 2.6344 data_time: 0.1443 memory: 25687 grad_norm: 0.8614 loss: 1.1540 grounding_loss_reg: 3.2740 detection_loss_cls: 0.0498 detection_loss_reg: 0.4481 caption_loss_cls: 2.3759 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7742 semantic_segmentation_loss_cls: 0.0117 2023/10/23 17:34:01 - mmengine - INFO - Iter(train) [239800/480000] base_lr: 1.0113e-04 lr: 2.7700e-05 eta: 7 days, 2:01:09 time: 2.6292 data_time: 0.1443 memory: 25687 grad_norm: 0.8645 loss: 1.1626 grounding_loss_reg: 3.2730 detection_loss_cls: 0.0500 detection_loss_reg: 0.4484 caption_loss_cls: 2.3790 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7737 semantic_segmentation_loss_cls: 0.0117 2023/10/23 17:37:57 - mmengine - INFO - Iter(train) [239900/480000] base_lr: 1.0107e-04 lr: 2.7684e-05 eta: 7 days, 1:52:45 time: 2.6195 data_time: 0.1443 memory: 25687 grad_norm: 0.8679 loss: 1.1630 grounding_loss_reg: 3.2732 detection_loss_cls: 0.0500 detection_loss_reg: 0.4479 caption_loss_cls: 2.3788 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7725 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:42:26 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 17:42:26 - mmengine - INFO - Iter(train) [240000/480000] base_lr: 1.0100e-04 lr: 2.7667e-05 eta: 7 days, 1:51:36 time: 2.6261 data_time: 0.1443 memory: 25687 grad_norm: 0.8646 loss: 1.1586 grounding_loss_reg: 3.2730 detection_loss_cls: 0.0502 detection_loss_reg: 0.4491 caption_loss_cls: 2.3747 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7732 semantic_segmentation_loss_cls: 0.0118 2023/10/23 17:42:26 - mmengine - INFO - Saving checkpoint at 240000 iterations 2023/10/23 17:48:17 - mmengine - INFO - Evaluating bbox... 2023/10/23 17:49:24 - mmengine - INFO - bbox_mAP_copypaste: 0.500 0.679 0.547 0.343 0.544 0.648 2023/10/23 17:49:24 - mmengine - INFO - Evaluating segm... 2023/10/23 17:50:41 - mmengine - INFO - segm_mAP_copypaste: 0.332 0.587 0.328 0.194 0.376 0.505 2023/10/23 17:52:05 - mmengine - INFO - Evaluating bbox... 2023/10/23 17:53:12 - mmengine - INFO - bbox_mAP_copypaste: 0.501 0.681 0.549 0.344 0.546 0.647 2023/10/23 17:56:07 - mmengine - INFO - per class results: 2023/10/23 17:56:07 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.66 | 85.9 | | building | 79.55 | 92.78 | | sky | 93.1 | 96.84 | | floor | 81.08 | 86.86 | | tree | 73.09 | 89.02 | | ceiling | 83.59 | 91.72 | | road | 84.62 | 90.65 | | bed | 87.76 | 94.19 | | windowpane | 61.72 | 83.14 | | grass | 65.42 | 78.26 | | cabinet | 59.66 | 79.58 | | sidewalk | 65.81 | 77.57 | | person | 80.6 | 90.21 | | earth | 41.3 | 60.03 | | door | 49.62 | 70.99 | | table | 58.63 | 78.12 | | mountain | 61.55 | 75.83 | | plant | 52.86 | 68.23 | | curtain | 73.62 | 87.95 | | chair | 55.21 | 82.1 | | car | 80.79 | 88.96 | | water | 55.44 | 72.98 | | painting | 71.93 | 86.65 | | sofa | 66.22 | 74.46 | | shelf | 37.06 | 46.92 | | house | 34.19 | 40.27 | | sea | 60.05 | 79.31 | | mirror | 64.05 | 70.85 | | rug | 65.65 | 76.64 | | field | 26.06 | 50.39 | | armchair | 45.31 | 63.73 | | seat | 63.1 | 73.74 | | fence | 40.77 | 51.14 | | desk | 44.98 | 54.51 | | rock | 42.4 | 46.4 | | wardrobe | 51.79 | 60.26 | | lamp | 60.08 | 74.15 | | bathtub | 80.6 | 87.59 | | railing | 36.82 | 54.07 | | cushion | 56.72 | 76.56 | | base | 29.67 | 41.98 | | box | 29.12 | 39.39 | | column | 44.24 | 50.65 | | signboard | 34.88 | 45.52 | | chest of drawers | 38.88 | 60.55 | | counter | 33.84 | 56.64 | | sand | 55.5 | 83.48 | | sink | 69.35 | 78.86 | | skyscraper | 51.21 | 67.56 | | fireplace | 67.66 | 87.76 | | refrigerator | 63.37 | 83.19 | | grandstand | 36.61 | 74.68 | | path | 24.14 | 28.19 | | stairs | 30.33 | 41.63 | | runway | 73.07 | 92.9 | | case | 49.06 | 71.64 | | pool table | 85.19 | 94.91 | | pillow | 52.31 | 62.62 | | screen door | 73.48 | 77.85 | | stairway | 29.35 | 45.32 | | river | 26.55 | 44.35 | | bridge | 37.97 | 48.83 | | bookcase | 29.7 | 52.56 | | blind | 39.76 | 43.74 | | coffee table | 35.21 | 36.58 | | toilet | 80.11 | 92.84 | | flower | 33.07 | 54.01 | | book | 43.37 | 62.79 | | hill | 9.29 | 9.74 | | bench | 59.69 | 71.72 | | countertop | 45.03 | 48.34 | | stove | 72.47 | 82.17 | | palm | 47.21 | 58.6 | | kitchen island | 20.03 | 26.35 | | computer | 69.44 | 87.92 | | swivel chair | 28.72 | 32.56 | | boat | 62.38 | 86.32 | | bar | 33.93 | 39.77 | | arcade machine | 63.38 | 68.74 | | hovel | 52.21 | 67.11 | | bus | 90.46 | 94.28 | | towel | 58.66 | 80.07 | | light | 40.39 | 44.55 | | truck | 34.89 | 54.11 | | tower | 9.67 | 12.36 | | chandelier | 66.19 | 81.81 | | awning | 17.08 | 18.96 | | streetlight | 29.02 | 36.39 | | booth | 23.94 | 42.35 | | television receiver | 61.84 | 75.15 | | airplane | 60.96 | 72.32 | | dirt track | 20.63 | 21.05 | | apparel | 29.52 | 39.66 | | pole | 22.9 | 33.35 | | land | 0.44 | 0.51 | | bannister | 4.97 | 7.73 | | escalator | 45.64 | 71.64 | | ottoman | 44.47 | 72.39 | | bottle | 26.37 | 33.46 | | buffet | 27.52 | 29.49 | | poster | 27.17 | 32.57 | | stage | 10.06 | 18.74 | | van | 23.19 | 30.78 | | ship | 55.93 | 67.99 | | fountain | 32.82 | 33.4 | | conveyer belt | 76.13 | 93.61 | | canopy | 30.46 | 37.3 | | washer | 73.26 | 75.96 | | plaything | 16.97 | 18.42 | | swimming pool | 62.57 | 67.57 | | stool | 45.57 | 54.46 | | barrel | 35.68 | 65.01 | | basket | 30.53 | 40.74 | | waterfall | 58.65 | 83.86 | | tent | 75.62 | 96.91 | | bag | 26.71 | 35.04 | | minibike | 68.44 | 92.38 | | cradle | 73.74 | 93.27 | | oven | 28.6 | 36.34 | | ball | 43.53 | 54.58 | | food | 52.63 | 58.09 | | step | 10.6 | 13.8 | | tank | 45.66 | 54.88 | | trade name | 18.94 | 20.24 | | microwave | 83.55 | 91.99 | | pot | 52.33 | 63.15 | | animal | 56.47 | 59.04 | | bicycle | 54.24 | 70.26 | | lake | 0.0 | 0.0 | | dishwasher | 62.78 | 72.67 | | screen | 41.55 | 53.38 | | blanket | 8.4 | 9.61 | | sculpture | 65.88 | 75.29 | | hood | 44.54 | 53.56 | | sconce | 36.21 | 44.66 | | vase | 40.28 | 50.19 | | traffic light | 29.79 | 33.94 | | tray | 5.1 | 6.56 | | ashcan | 40.01 | 51.8 | | fan | 58.52 | 71.53 | | pier | 36.55 | 41.39 | | crt screen | 11.43 | 45.24 | | plate | 52.36 | 66.33 | | monitor | 2.29 | 2.52 | | bulletin board | 46.23 | 51.62 | | shower | 3.43 | 3.56 | | radiator | 60.75 | 69.33 | | glass | 15.6 | 17.3 | | clock | 23.23 | 25.84 | | flag | 61.1 | 64.04 | +---------------------+-------+-------+ 2023/10/23 17:56:31 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.2931 data_time: 0.0197 memory: 27805 2023/10/23 17:56:52 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5010 coco/bbox_mAP_50: 0.6810 coco/bbox_mAP_75: 0.5490 coco/bbox_mAP_s: 0.3440 coco/bbox_mAP_m: 0.5460 coco/bbox_mAP_l: 0.6470 coco/segm_mAP: 0.3320 coco/segm_mAP_50: 0.5870 coco/segm_mAP_75: 0.3280 coco/segm_mAP_s: 0.1940 coco/segm_mAP_m: 0.3760 coco/segm_mAP_l: 0.5050 Bleu_1: 0.7563 Bleu_2: 0.5839 Bleu_3: 0.4402 Bleu_4: 0.3284 METEOR: 0.2733 ROUGE_L: 0.5553 CIDEr: 1.0909 SPICE: 0.2023 aAcc: 82.3700 mIoU: 47.0800 mAcc: 58.5500 visual-grounding/miou: 0.7344 visual-grounding/acc: 0.8210 data_time: 0.0017 time: 0.2307 2023/10/23 18:00:38 - mmengine - INFO - Iter(train) [240100/480000] base_lr: 1.0094e-04 lr: 2.7650e-05 eta: 7 days, 1:42:05 time: 2.6028 data_time: 0.1286 memory: 26527 grad_norm: 0.8624 loss: 1.1487 grounding_loss_reg: 3.2730 detection_loss_cls: 0.0501 detection_loss_reg: 0.4491 caption_loss_cls: 2.3770 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7736 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:04:21 - mmengine - INFO - Iter(train) [240200/480000] base_lr: 1.0087e-04 lr: 2.7633e-05 eta: 7 days, 1:30:57 time: 2.5959 data_time: 0.1287 memory: 25688 grad_norm: 0.8644 loss: 1.1528 grounding_loss_reg: 3.2723 detection_loss_cls: 0.0498 detection_loss_reg: 0.4469 caption_loss_cls: 2.3829 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7738 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:08:29 - mmengine - INFO - Iter(train) [240300/480000] base_lr: 1.0081e-04 lr: 2.7616e-05 eta: 7 days, 1:25:15 time: 2.5989 data_time: 0.1288 memory: 25688 grad_norm: 0.8652 loss: 1.1558 grounding_loss_reg: 3.2711 detection_loss_cls: 0.0498 detection_loss_reg: 0.4472 caption_loss_cls: 2.3812 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7739 semantic_segmentation_loss_cls: 0.0118 2023/10/23 18:12:58 - mmengine - INFO - Iter(train) [240400/480000] base_lr: 1.0074e-04 lr: 2.7600e-05 eta: 7 days, 1:24:06 time: 2.6050 data_time: 0.1289 memory: 25688 grad_norm: 0.8609 loss: 1.1517 grounding_loss_reg: 3.2710 detection_loss_cls: 0.0499 detection_loss_reg: 0.4480 caption_loss_cls: 2.3824 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7739 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:16:51 - mmengine - INFO - Iter(train) [240500/480000] base_lr: 1.0068e-04 lr: 2.7583e-05 eta: 7 days, 1:15:15 time: 2.5974 data_time: 0.1290 memory: 26527 grad_norm: 0.8673 loss: 1.1576 grounding_loss_reg: 3.2706 detection_loss_cls: 0.0499 detection_loss_reg: 0.4479 caption_loss_cls: 2.3804 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7747 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:16:51 - mmengine - INFO - Saving checkpoint at 240500 iterations 2023/10/23 18:22:55 - mmengine - INFO - Iter(train) [240600/480000] base_lr: 1.0061e-04 lr: 2.7566e-05 eta: 7 days, 1:34:26 time: 2.6052 data_time: 0.1398 memory: 26527 grad_norm: 0.8659 loss: 1.1572 grounding_loss_reg: 3.2708 detection_loss_cls: 0.0491 detection_loss_reg: 0.4449 caption_loss_cls: 2.3824 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7752 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:26:49 - mmengine - INFO - Iter(train) [240700/480000] base_lr: 1.0055e-04 lr: 2.7549e-05 eta: 7 days, 1:25:46 time: 2.6043 data_time: 0.1398 memory: 26527 grad_norm: 0.8672 loss: 1.1531 grounding_loss_reg: 3.2694 detection_loss_cls: 0.0491 detection_loss_reg: 0.4448 caption_loss_cls: 2.3809 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7739 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:31:05 - mmengine - INFO - Iter(train) [240800/480000] base_lr: 1.0048e-04 lr: 2.7532e-05 eta: 7 days, 1:21:40 time: 2.6095 data_time: 0.1399 memory: 26527 grad_norm: 0.8672 loss: 1.1581 grounding_loss_reg: 3.2697 detection_loss_cls: 0.0495 detection_loss_reg: 0.4456 caption_loss_cls: 2.3805 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7743 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:34:58 - mmengine - INFO - Iter(train) [240900/480000] base_lr: 1.0042e-04 lr: 2.7516e-05 eta: 7 days, 1:12:54 time: 2.6021 data_time: 0.1400 memory: 26527 grad_norm: 0.8699 loss: 1.1601 grounding_loss_reg: 3.2686 detection_loss_cls: 0.0496 detection_loss_reg: 0.4459 caption_loss_cls: 2.3785 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:38:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 18:38:45 - mmengine - INFO - Iter(train) [241000/480000] base_lr: 1.0035e-04 lr: 2.7499e-05 eta: 7 days, 1:02:42 time: 2.5963 data_time: 0.1401 memory: 25688 grad_norm: 0.8673 loss: 1.1582 grounding_loss_reg: 3.2679 detection_loss_cls: 0.0495 detection_loss_reg: 0.4446 caption_loss_cls: 2.3808 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7760 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:38:45 - mmengine - INFO - Saving checkpoint at 241000 iterations 2023/10/23 18:43:53 - mmengine - INFO - Iter(train) [241100/480000] base_lr: 1.0029e-04 lr: 2.7482e-05 eta: 7 days, 1:09:36 time: 2.5947 data_time: 0.1416 memory: 26527 grad_norm: 0.8617 loss: 1.1484 grounding_loss_reg: 3.2663 detection_loss_cls: 0.0495 detection_loss_reg: 0.4455 caption_loss_cls: 2.3800 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7756 semantic_segmentation_loss_cls: 0.0117 2023/10/23 18:48:05 - mmengine - INFO - Iter(train) [241200/480000] base_lr: 1.0022e-04 lr: 2.7465e-05 eta: 7 days, 1:04:46 time: 2.5943 data_time: 0.1416 memory: 26527 grad_norm: 0.8631 loss: 1.1533 grounding_loss_reg: 3.2668 detection_loss_cls: 0.0495 detection_loss_reg: 0.4461 caption_loss_cls: 2.3819 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7733 semantic_segmentation_loss_cls: 0.0118 2023/10/23 18:52:18 - mmengine - INFO - Iter(train) [241300/480000] base_lr: 1.0016e-04 lr: 2.7448e-05 eta: 7 days, 1:00:08 time: 2.5998 data_time: 0.1418 memory: 26527 grad_norm: 0.8623 loss: 1.1517 grounding_loss_reg: 3.2655 detection_loss_cls: 0.0495 detection_loss_reg: 0.4464 caption_loss_cls: 2.3829 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7732 semantic_segmentation_loss_cls: 0.0118 2023/10/23 18:56:33 - mmengine - INFO - Iter(train) [241400/480000] base_lr: 1.0009e-04 lr: 2.7432e-05 eta: 7 days, 0:55:56 time: 2.5910 data_time: 0.1410 memory: 25688 grad_norm: 0.8624 loss: 1.1549 grounding_loss_reg: 3.2650 detection_loss_cls: 0.0496 detection_loss_reg: 0.4470 caption_loss_cls: 2.3828 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7726 semantic_segmentation_loss_cls: 0.0117 2023/10/23 19:00:51 - mmengine - INFO - Iter(train) [241500/480000] base_lr: 1.0003e-04 lr: 2.7415e-05 eta: 7 days, 0:52:18 time: 2.5901 data_time: 0.1411 memory: 26527 grad_norm: 0.8615 loss: 1.1512 grounding_loss_reg: 3.2645 detection_loss_cls: 0.0496 detection_loss_reg: 0.4469 caption_loss_cls: 2.3864 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7727 semantic_segmentation_loss_cls: 0.0117 2023/10/23 19:00:51 - mmengine - INFO - Saving checkpoint at 241500 iterations 2023/10/23 19:06:00 - mmengine - INFO - Iter(train) [241600/480000] base_lr: 9.9964e-05 lr: 2.7398e-05 eta: 7 days, 0:59:06 time: 2.5874 data_time: 0.1423 memory: 25688 grad_norm: 0.8583 loss: 1.1452 grounding_loss_reg: 3.2642 detection_loss_cls: 0.0493 detection_loss_reg: 0.4455 caption_loss_cls: 2.3832 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7723 semantic_segmentation_loss_cls: 0.0117 2023/10/23 19:09:56 - mmengine - INFO - Iter(train) [241700/480000] base_lr: 9.9899e-05 lr: 2.7381e-05 eta: 7 days, 0:50:47 time: 2.5851 data_time: 0.1423 memory: 26527 grad_norm: 0.8569 loss: 1.1400 grounding_loss_reg: 3.2642 detection_loss_cls: 0.0492 detection_loss_reg: 0.4447 caption_loss_cls: 2.3802 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7723 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:13:51 - mmengine - INFO - Iter(train) [241800/480000] base_lr: 9.9834e-05 lr: 2.7364e-05 eta: 7 days, 0:42:34 time: 2.5760 data_time: 0.1423 memory: 25688 grad_norm: 0.8586 loss: 1.1426 grounding_loss_reg: 3.2640 detection_loss_cls: 0.0492 detection_loss_reg: 0.4449 caption_loss_cls: 2.3790 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7733 semantic_segmentation_loss_cls: 0.0117 2023/10/23 19:17:51 - mmengine - INFO - Iter(train) [241900/480000] base_lr: 9.9770e-05 lr: 2.7348e-05 eta: 7 days, 0:35:19 time: 2.5810 data_time: 0.1424 memory: 25688 grad_norm: 0.8560 loss: 1.1431 grounding_loss_reg: 3.2633 detection_loss_cls: 0.0493 detection_loss_reg: 0.4449 caption_loss_cls: 2.3796 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7736 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:21:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 19:21:38 - mmengine - INFO - Iter(train) [242000/480000] base_lr: 9.9705e-05 lr: 2.7331e-05 eta: 7 days, 0:25:38 time: 2.5739 data_time: 0.1425 memory: 25688 grad_norm: 0.8580 loss: 1.1425 grounding_loss_reg: 3.2621 detection_loss_cls: 0.0494 detection_loss_reg: 0.4452 caption_loss_cls: 2.3793 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7734 semantic_segmentation_loss_cls: 0.0117 2023/10/23 19:21:38 - mmengine - INFO - Saving checkpoint at 242000 iterations 2023/10/23 19:26:08 - mmengine - INFO - Iter(train) [242100/480000] base_lr: 9.9640e-05 lr: 2.7314e-05 eta: 7 days, 0:24:23 time: 2.5671 data_time: 0.1432 memory: 26527 grad_norm: 0.8601 loss: 1.1443 grounding_loss_reg: 3.2618 detection_loss_cls: 0.0492 detection_loss_reg: 0.4448 caption_loss_cls: 2.3786 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7733 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:30:13 - mmengine - INFO - Iter(train) [242200/480000] base_lr: 9.9575e-05 lr: 2.7297e-05 eta: 7 days, 0:18:03 time: 2.5690 data_time: 0.1433 memory: 25688 grad_norm: 0.8515 loss: 1.1330 grounding_loss_reg: 3.2625 detection_loss_cls: 0.0493 detection_loss_reg: 0.4464 caption_loss_cls: 2.3742 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7753 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:34:01 - mmengine - INFO - Iter(train) [242300/480000] base_lr: 9.9510e-05 lr: 2.7280e-05 eta: 7 days, 0:08:41 time: 2.5682 data_time: 0.1433 memory: 25688 grad_norm: 0.8464 loss: 1.1279 grounding_loss_reg: 3.2622 detection_loss_cls: 0.0492 detection_loss_reg: 0.4459 caption_loss_cls: 2.3786 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7744 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:37:44 - mmengine - INFO - Iter(train) [242400/480000] base_lr: 9.9446e-05 lr: 2.7264e-05 eta: 6 days, 23:58:18 time: 2.5667 data_time: 0.1433 memory: 25688 grad_norm: 0.8444 loss: 1.1185 grounding_loss_reg: 3.2623 detection_loss_cls: 0.0489 detection_loss_reg: 0.4442 caption_loss_cls: 2.3788 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7752 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:41:41 - mmengine - INFO - Iter(train) [242500/480000] base_lr: 9.9381e-05 lr: 2.7247e-05 eta: 6 days, 23:50:40 time: 2.5599 data_time: 0.1433 memory: 26527 grad_norm: 0.8449 loss: 1.1159 grounding_loss_reg: 3.2615 detection_loss_cls: 0.0488 detection_loss_reg: 0.4439 caption_loss_cls: 2.3791 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7741 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:41:41 - mmengine - INFO - Saving checkpoint at 242500 iterations 2023/10/23 19:46:57 - mmengine - INFO - Iter(train) [242600/480000] base_lr: 9.9316e-05 lr: 2.7230e-05 eta: 6 days, 23:58:06 time: 2.5589 data_time: 0.1448 memory: 26527 grad_norm: 0.8467 loss: 1.1178 grounding_loss_reg: 3.2603 detection_loss_cls: 0.0488 detection_loss_reg: 0.4441 caption_loss_cls: 2.3822 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7746 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:50:53 - mmengine - INFO - Iter(train) [242700/480000] base_lr: 9.9251e-05 lr: 2.7213e-05 eta: 6 days, 23:50:23 time: 2.5616 data_time: 0.1449 memory: 26527 grad_norm: 0.8417 loss: 1.1110 grounding_loss_reg: 3.2599 detection_loss_cls: 0.0488 detection_loss_reg: 0.4438 caption_loss_cls: 2.3861 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7745 semantic_segmentation_loss_cls: 0.0118 2023/10/23 19:55:12 - mmengine - INFO - Iter(train) [242800/480000] base_lr: 9.9186e-05 lr: 2.7196e-05 eta: 6 days, 23:46:57 time: 2.5676 data_time: 0.1450 memory: 26527 grad_norm: 0.8384 loss: 1.1122 grounding_loss_reg: 3.2585 detection_loss_cls: 0.0489 detection_loss_reg: 0.4437 caption_loss_cls: 2.3890 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7748 semantic_segmentation_loss_cls: 0.0117 2023/10/23 19:59:11 - mmengine - INFO - Iter(train) [242900/480000] base_lr: 9.9122e-05 lr: 2.7180e-05 eta: 6 days, 23:39:39 time: 2.5637 data_time: 0.1449 memory: 26527 grad_norm: 0.8404 loss: 1.1047 grounding_loss_reg: 3.2578 detection_loss_cls: 0.0490 detection_loss_reg: 0.4440 caption_loss_cls: 2.3872 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7749 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:03:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 20:03:16 - mmengine - INFO - Iter(train) [243000/480000] base_lr: 9.9057e-05 lr: 2.7163e-05 eta: 6 days, 23:33:37 time: 2.5607 data_time: 0.1450 memory: 26527 grad_norm: 0.8451 loss: 1.1022 grounding_loss_reg: 3.2581 detection_loss_cls: 0.0489 detection_loss_reg: 0.4440 caption_loss_cls: 2.3886 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7758 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:03:16 - mmengine - INFO - Saving checkpoint at 243000 iterations 2023/10/23 20:07:59 - mmengine - INFO - Iter(train) [243100/480000] base_lr: 9.8992e-05 lr: 2.7146e-05 eta: 6 days, 23:34:45 time: 2.5529 data_time: 0.1452 memory: 26527 grad_norm: 0.8433 loss: 1.1030 grounding_loss_reg: 3.2565 detection_loss_cls: 0.0489 detection_loss_reg: 0.4435 caption_loss_cls: 2.3885 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7756 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:11:37 - mmengine - INFO - Iter(train) [243200/480000] base_lr: 9.8927e-05 lr: 2.7129e-05 eta: 6 days, 23:23:42 time: 2.5450 data_time: 0.1452 memory: 25688 grad_norm: 0.8409 loss: 1.0968 grounding_loss_reg: 3.2559 detection_loss_cls: 0.0492 detection_loss_reg: 0.4454 caption_loss_cls: 2.3881 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7767 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:15:27 - mmengine - INFO - Iter(train) [243300/480000] base_lr: 9.8863e-05 lr: 2.7113e-05 eta: 6 days, 23:14:57 time: 2.5411 data_time: 0.1451 memory: 25688 grad_norm: 0.8376 loss: 1.0897 grounding_loss_reg: 3.2558 detection_loss_cls: 0.0492 detection_loss_reg: 0.4464 caption_loss_cls: 2.3854 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7762 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:19:31 - mmengine - INFO - Iter(train) [243400/480000] base_lr: 9.8798e-05 lr: 2.7096e-05 eta: 6 days, 23:08:46 time: 2.5423 data_time: 0.1452 memory: 25688 grad_norm: 0.8399 loss: 1.0891 grounding_loss_reg: 3.2548 detection_loss_cls: 0.0493 detection_loss_reg: 0.4471 caption_loss_cls: 2.3825 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7743 semantic_segmentation_loss_cls: 0.0117 2023/10/23 20:23:34 - mmengine - INFO - Iter(train) [243500/480000] base_lr: 9.8733e-05 lr: 2.7079e-05 eta: 6 days, 23:02:20 time: 2.5397 data_time: 0.1452 memory: 25688 grad_norm: 0.8379 loss: 1.0870 grounding_loss_reg: 3.2558 detection_loss_cls: 0.0492 detection_loss_reg: 0.4459 caption_loss_cls: 2.3821 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7749 semantic_segmentation_loss_cls: 0.0117 2023/10/23 20:23:34 - mmengine - INFO - Saving checkpoint at 243500 iterations 2023/10/23 20:28:40 - mmengine - INFO - Iter(train) [243600/480000] base_lr: 9.8668e-05 lr: 2.7062e-05 eta: 6 days, 23:07:33 time: 2.5358 data_time: 0.1460 memory: 26527 grad_norm: 0.8385 loss: 1.0833 grounding_loss_reg: 3.2561 detection_loss_cls: 0.0491 detection_loss_reg: 0.4455 caption_loss_cls: 2.3844 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7742 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:32:48 - mmengine - INFO - Iter(train) [243700/480000] base_lr: 9.8603e-05 lr: 2.7045e-05 eta: 6 days, 23:02:03 time: 2.5307 data_time: 0.1461 memory: 26527 grad_norm: 0.8428 loss: 1.0870 grounding_loss_reg: 3.2560 detection_loss_cls: 0.0489 detection_loss_reg: 0.4454 caption_loss_cls: 2.3817 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7736 semantic_segmentation_loss_cls: 0.0117 2023/10/23 20:36:51 - mmengine - INFO - Iter(train) [243800/480000] base_lr: 9.8539e-05 lr: 2.7029e-05 eta: 6 days, 22:55:52 time: 2.5268 data_time: 0.1461 memory: 26527 grad_norm: 0.8439 loss: 1.0842 grounding_loss_reg: 3.2546 detection_loss_cls: 0.0489 detection_loss_reg: 0.4454 caption_loss_cls: 2.3846 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7723 semantic_segmentation_loss_cls: 0.0117 2023/10/23 20:40:53 - mmengine - INFO - Iter(train) [243900/480000] base_lr: 9.8474e-05 lr: 2.7012e-05 eta: 6 days, 22:49:15 time: 2.5281 data_time: 0.1462 memory: 26527 grad_norm: 0.8401 loss: 1.0802 grounding_loss_reg: 3.2539 detection_loss_cls: 0.0491 detection_loss_reg: 0.4465 caption_loss_cls: 2.3851 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7718 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:45:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 20:45:04 - mmengine - INFO - Iter(train) [244000/480000] base_lr: 9.8409e-05 lr: 2.6995e-05 eta: 6 days, 22:44:31 time: 2.5238 data_time: 0.1463 memory: 26527 grad_norm: 0.8438 loss: 1.0827 grounding_loss_reg: 3.2538 detection_loss_cls: 0.0492 detection_loss_reg: 0.4471 caption_loss_cls: 2.3842 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7716 semantic_segmentation_loss_cls: 0.0118 2023/10/23 20:45:04 - mmengine - INFO - Saving checkpoint at 244000 iterations 2023/10/23 20:50:39 - mmengine - INFO - Iter(train) [244100/480000] base_lr: 9.8344e-05 lr: 2.6978e-05 eta: 6 days, 22:54:30 time: 2.5496 data_time: 0.1632 memory: 26527 grad_norm: 0.8401 loss: 1.0841 grounding_loss_reg: 3.2533 detection_loss_cls: 0.0495 detection_loss_reg: 0.4477 caption_loss_cls: 2.3861 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7709 semantic_segmentation_loss_cls: 0.0117 2023/10/23 20:54:47 - mmengine - INFO - Iter(train) [244200/480000] base_lr: 9.8280e-05 lr: 2.6961e-05 eta: 6 days, 22:49:03 time: 2.5558 data_time: 0.1632 memory: 25688 grad_norm: 0.8349 loss: 1.0793 grounding_loss_reg: 3.2531 detection_loss_cls: 0.0492 detection_loss_reg: 0.4481 caption_loss_cls: 2.3870 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7708 semantic_segmentation_loss_cls: 0.0117 2023/10/23 20:58:50 - mmengine - INFO - Iter(train) [244300/480000] base_lr: 9.8215e-05 lr: 2.6945e-05 eta: 6 days, 22:42:45 time: 2.5546 data_time: 0.1631 memory: 26527 grad_norm: 0.8336 loss: 1.0833 grounding_loss_reg: 3.2536 detection_loss_cls: 0.0494 detection_loss_reg: 0.4489 caption_loss_cls: 2.3918 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7705 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:02:48 - mmengine - INFO - Iter(train) [244400/480000] base_lr: 9.8150e-05 lr: 2.6928e-05 eta: 6 days, 22:35:40 time: 2.5471 data_time: 0.1631 memory: 25688 grad_norm: 0.8336 loss: 1.0853 grounding_loss_reg: 3.2539 detection_loss_cls: 0.0494 detection_loss_reg: 0.4480 caption_loss_cls: 2.3938 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7701 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:06:55 - mmengine - INFO - Iter(train) [244500/480000] base_lr: 9.8085e-05 lr: 2.6911e-05 eta: 6 days, 22:30:04 time: 2.5505 data_time: 0.1631 memory: 26527 grad_norm: 0.8325 loss: 1.0801 grounding_loss_reg: 3.2541 detection_loss_cls: 0.0493 detection_loss_reg: 0.4478 caption_loss_cls: 2.3912 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7689 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:06:55 - mmengine - INFO - Saving checkpoint at 244500 iterations 2023/10/23 21:11:58 - mmengine - INFO - Iter(train) [244600/480000] base_lr: 9.8021e-05 lr: 2.6894e-05 eta: 6 days, 22:34:16 time: 2.5353 data_time: 0.1526 memory: 26527 grad_norm: 0.8306 loss: 1.0759 grounding_loss_reg: 3.2544 detection_loss_cls: 0.0492 detection_loss_reg: 0.4475 caption_loss_cls: 2.3901 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7688 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:15:48 - mmengine - INFO - Iter(train) [244700/480000] base_lr: 9.7956e-05 lr: 2.6877e-05 eta: 6 days, 22:25:43 time: 2.5342 data_time: 0.1527 memory: 25688 grad_norm: 0.8268 loss: 1.0759 grounding_loss_reg: 3.2562 detection_loss_cls: 0.0492 detection_loss_reg: 0.4467 caption_loss_cls: 2.3873 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7673 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:20:10 - mmengine - INFO - Iter(train) [244800/480000] base_lr: 9.7891e-05 lr: 2.6861e-05 eta: 6 days, 22:22:43 time: 2.5358 data_time: 0.1527 memory: 25688 grad_norm: 0.8226 loss: 1.0719 grounding_loss_reg: 3.2542 detection_loss_cls: 0.0492 detection_loss_reg: 0.4470 caption_loss_cls: 2.3908 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7697 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:24:17 - mmengine - INFO - Iter(train) [244900/480000] base_lr: 9.7826e-05 lr: 2.6844e-05 eta: 6 days, 22:17:14 time: 2.5393 data_time: 0.1526 memory: 26527 grad_norm: 0.8221 loss: 1.0724 grounding_loss_reg: 3.2543 detection_loss_cls: 0.0493 detection_loss_reg: 0.4470 caption_loss_cls: 2.3946 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7689 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:28:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 21:28:23 - mmengine - INFO - Iter(train) [245000/480000] base_lr: 9.7761e-05 lr: 2.6827e-05 eta: 6 days, 22:11:23 time: 2.5440 data_time: 0.1526 memory: 26527 grad_norm: 0.8207 loss: 1.0692 grounding_loss_reg: 3.2555 detection_loss_cls: 0.0493 detection_loss_reg: 0.4474 caption_loss_cls: 2.3917 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7685 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:28:23 - mmengine - INFO - Saving checkpoint at 245000 iterations 2023/10/23 21:33:26 - mmengine - INFO - Iter(train) [245100/480000] base_lr: 9.7697e-05 lr: 2.6810e-05 eta: 6 days, 22:15:25 time: 2.5428 data_time: 0.1525 memory: 26527 grad_norm: 0.8223 loss: 1.0769 grounding_loss_reg: 3.2555 detection_loss_cls: 0.0491 detection_loss_reg: 0.4473 caption_loss_cls: 2.3914 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7680 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:37:34 - mmengine - INFO - Iter(train) [245200/480000] base_lr: 9.7632e-05 lr: 2.6793e-05 eta: 6 days, 22:10:03 time: 2.5418 data_time: 0.1526 memory: 26527 grad_norm: 0.8258 loss: 1.0791 grounding_loss_reg: 3.2567 detection_loss_cls: 0.0490 detection_loss_reg: 0.4459 caption_loss_cls: 2.3922 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7670 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:41:16 - mmengine - INFO - Iter(train) [245300/480000] base_lr: 9.7567e-05 lr: 2.6777e-05 eta: 6 days, 22:00:14 time: 2.5340 data_time: 0.1524 memory: 25688 grad_norm: 0.8254 loss: 1.0807 grounding_loss_reg: 3.2570 detection_loss_cls: 0.0489 detection_loss_reg: 0.4453 caption_loss_cls: 2.3920 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7645 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:45:10 - mmengine - INFO - Iter(train) [245400/480000] base_lr: 9.7502e-05 lr: 2.6760e-05 eta: 6 days, 21:52:28 time: 2.5286 data_time: 0.1524 memory: 26527 grad_norm: 0.8249 loss: 1.0797 grounding_loss_reg: 3.2564 detection_loss_cls: 0.0489 detection_loss_reg: 0.4448 caption_loss_cls: 2.3929 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7651 semantic_segmentation_loss_cls: 0.0117 2023/10/23 21:49:01 - mmengine - INFO - Iter(train) [245500/480000] base_lr: 9.7438e-05 lr: 2.6743e-05 eta: 6 days, 21:44:21 time: 2.5219 data_time: 0.1523 memory: 26527 grad_norm: 0.8246 loss: 1.0793 grounding_loss_reg: 3.2555 detection_loss_cls: 0.0489 detection_loss_reg: 0.4445 caption_loss_cls: 2.3971 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7653 semantic_segmentation_loss_cls: 0.0117 2023/10/23 21:49:01 - mmengine - INFO - Saving checkpoint at 245500 iterations 2023/10/23 21:54:08 - mmengine - INFO - Iter(train) [245600/480000] base_lr: 9.7373e-05 lr: 2.6726e-05 eta: 6 days, 21:48:49 time: 2.5213 data_time: 0.1524 memory: 26527 grad_norm: 0.8301 loss: 1.0866 grounding_loss_reg: 3.2551 detection_loss_cls: 0.0486 detection_loss_reg: 0.4432 caption_loss_cls: 2.3964 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7660 semantic_segmentation_loss_cls: 0.0118 2023/10/23 21:58:46 - mmengine - INFO - Iter(train) [245700/480000] base_lr: 9.7308e-05 lr: 2.6710e-05 eta: 6 days, 21:48:21 time: 2.5320 data_time: 0.1526 memory: 26527 grad_norm: 0.8266 loss: 1.0879 grounding_loss_reg: 3.2553 detection_loss_cls: 0.0485 detection_loss_reg: 0.4425 caption_loss_cls: 2.3982 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7653 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:02:55 - mmengine - INFO - Iter(train) [245800/480000] base_lr: 9.7243e-05 lr: 2.6693e-05 eta: 6 days, 21:43:08 time: 2.5354 data_time: 0.1525 memory: 26527 grad_norm: 0.8247 loss: 1.0852 grounding_loss_reg: 3.2552 detection_loss_cls: 0.0486 detection_loss_reg: 0.4427 caption_loss_cls: 2.3979 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7644 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:06:55 - mmengine - INFO - Iter(train) [245900/480000] base_lr: 9.7179e-05 lr: 2.6676e-05 eta: 6 days, 21:36:35 time: 2.5355 data_time: 0.1525 memory: 25688 grad_norm: 0.8239 loss: 1.0800 grounding_loss_reg: 3.2566 detection_loss_cls: 0.0487 detection_loss_reg: 0.4425 caption_loss_cls: 2.3909 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7641 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:10:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 22:10:50 - mmengine - INFO - Iter(train) [246000/480000] base_lr: 9.7114e-05 lr: 2.6659e-05 eta: 6 days, 21:29:04 time: 2.5373 data_time: 0.1525 memory: 25688 grad_norm: 0.8245 loss: 1.0771 grounding_loss_reg: 3.2554 detection_loss_cls: 0.0487 detection_loss_reg: 0.4423 caption_loss_cls: 2.3879 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7637 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:10:50 - mmengine - INFO - Saving checkpoint at 246000 iterations 2023/10/23 22:15:54 - mmengine - INFO - Iter(train) [246100/480000] base_lr: 9.7049e-05 lr: 2.6642e-05 eta: 6 days, 21:32:54 time: 2.5459 data_time: 0.1525 memory: 26527 grad_norm: 0.8185 loss: 1.0715 grounding_loss_reg: 3.2546 detection_loss_cls: 0.0488 detection_loss_reg: 0.4427 caption_loss_cls: 2.3879 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7660 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:19:28 - mmengine - INFO - Iter(train) [246200/480000] base_lr: 9.6984e-05 lr: 2.6626e-05 eta: 6 days, 21:22:01 time: 2.5383 data_time: 0.1525 memory: 25688 grad_norm: 0.8257 loss: 1.0761 grounding_loss_reg: 3.2566 detection_loss_cls: 0.0487 detection_loss_reg: 0.4426 caption_loss_cls: 2.3900 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7653 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:23:31 - mmengine - INFO - Iter(train) [246300/480000] base_lr: 9.6920e-05 lr: 2.6609e-05 eta: 6 days, 21:15:51 time: 2.5418 data_time: 0.1525 memory: 25688 grad_norm: 0.8295 loss: 1.0741 grounding_loss_reg: 3.2562 detection_loss_cls: 0.0488 detection_loss_reg: 0.4420 caption_loss_cls: 2.3873 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7623 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:27:09 - mmengine - INFO - Iter(train) [246400/480000] base_lr: 9.6855e-05 lr: 2.6592e-05 eta: 6 days, 21:05:49 time: 2.5406 data_time: 0.1524 memory: 25688 grad_norm: 0.8314 loss: 1.0751 grounding_loss_reg: 3.2554 detection_loss_cls: 0.0487 detection_loss_reg: 0.4421 caption_loss_cls: 2.3847 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7615 semantic_segmentation_loss_cls: 0.0118 2023/10/23 22:31:18 - mmengine - INFO - Iter(train) [246500/480000] base_lr: 9.6790e-05 lr: 2.6575e-05 eta: 6 days, 21:00:42 time: 2.5436 data_time: 0.1525 memory: 26527 grad_norm: 0.8289 loss: 1.0789 grounding_loss_reg: 3.2557 detection_loss_cls: 0.0488 detection_loss_reg: 0.4426 caption_loss_cls: 2.3861 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7614 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:31:18 - mmengine - INFO - Saving checkpoint at 246500 iterations 2023/10/23 22:35:52 - mmengine - INFO - Iter(train) [246600/480000] base_lr: 9.6725e-05 lr: 2.6558e-05 eta: 6 days, 20:59:32 time: 2.5333 data_time: 0.1522 memory: 25688 grad_norm: 0.8309 loss: 1.0778 grounding_loss_reg: 3.2573 detection_loss_cls: 0.0486 detection_loss_reg: 0.4418 caption_loss_cls: 2.3856 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7597 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:39:40 - mmengine - INFO - Iter(train) [246700/480000] base_lr: 9.6661e-05 lr: 2.6542e-05 eta: 6 days, 20:51:11 time: 2.5312 data_time: 0.1522 memory: 25688 grad_norm: 0.8300 loss: 1.0788 grounding_loss_reg: 3.2574 detection_loss_cls: 0.0490 detection_loss_reg: 0.4421 caption_loss_cls: 2.3851 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7613 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:43:19 - mmengine - INFO - Iter(train) [246800/480000] base_lr: 9.6596e-05 lr: 2.6525e-05 eta: 6 days, 20:41:21 time: 2.5212 data_time: 0.1522 memory: 26527 grad_norm: 0.8309 loss: 1.0753 grounding_loss_reg: 3.2562 detection_loss_cls: 0.0490 detection_loss_reg: 0.4414 caption_loss_cls: 2.3838 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7627 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:46:49 - mmengine - INFO - Iter(train) [246900/480000] base_lr: 9.6531e-05 lr: 2.6508e-05 eta: 6 days, 20:30:15 time: 2.5141 data_time: 0.1522 memory: 25688 grad_norm: 0.8336 loss: 1.0835 grounding_loss_reg: 3.2574 detection_loss_cls: 0.0490 detection_loss_reg: 0.4413 caption_loss_cls: 2.3840 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7631 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:50:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 22:50:37 - mmengine - INFO - Iter(train) [247000/480000] base_lr: 9.6467e-05 lr: 2.6491e-05 eta: 6 days, 20:21:51 time: 2.5097 data_time: 0.1521 memory: 26527 grad_norm: 0.8346 loss: 1.0858 grounding_loss_reg: 3.2573 detection_loss_cls: 0.0490 detection_loss_reg: 0.4413 caption_loss_cls: 2.3850 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7640 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:50:37 - mmengine - INFO - Saving checkpoint at 247000 iterations 2023/10/23 22:55:25 - mmengine - INFO - Iter(train) [247100/480000] base_lr: 9.6402e-05 lr: 2.6475e-05 eta: 6 days, 20:22:59 time: 2.5110 data_time: 0.1523 memory: 25688 grad_norm: 0.8319 loss: 1.0897 grounding_loss_reg: 3.2571 detection_loss_cls: 0.0489 detection_loss_reg: 0.4411 caption_loss_cls: 2.3884 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7647 semantic_segmentation_loss_cls: 0.0117 2023/10/23 22:59:11 - mmengine - INFO - Iter(train) [247200/480000] base_lr: 9.6337e-05 lr: 2.6458e-05 eta: 6 days, 20:14:20 time: 2.5129 data_time: 0.1523 memory: 25688 grad_norm: 0.8342 loss: 1.0913 grounding_loss_reg: 3.2560 detection_loss_cls: 0.0489 detection_loss_reg: 0.4413 caption_loss_cls: 2.3854 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7631 semantic_segmentation_loss_cls: 0.0117 2023/10/23 23:03:07 - mmengine - INFO - Iter(train) [247300/480000] base_lr: 9.6272e-05 lr: 2.6441e-05 eta: 6 days, 20:07:19 time: 2.5143 data_time: 0.1525 memory: 25688 grad_norm: 0.8380 loss: 1.1033 grounding_loss_reg: 3.2565 detection_loss_cls: 0.0488 detection_loss_reg: 0.4407 caption_loss_cls: 2.3889 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7644 semantic_segmentation_loss_cls: 0.0117 2023/10/23 23:06:42 - mmengine - INFO - Iter(train) [247400/480000] base_lr: 9.6208e-05 lr: 2.6424e-05 eta: 6 days, 19:57:13 time: 2.5072 data_time: 0.1524 memory: 26527 grad_norm: 0.8382 loss: 1.1045 grounding_loss_reg: 3.2564 detection_loss_cls: 0.0488 detection_loss_reg: 0.4400 caption_loss_cls: 2.3874 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7632 semantic_segmentation_loss_cls: 0.0117 2023/10/23 23:10:34 - mmengine - INFO - Iter(train) [247500/480000] base_lr: 9.6143e-05 lr: 2.6407e-05 eta: 6 days, 19:49:38 time: 2.5045 data_time: 0.1524 memory: 25688 grad_norm: 0.8385 loss: 1.1066 grounding_loss_reg: 3.2563 detection_loss_cls: 0.0488 detection_loss_reg: 0.4399 caption_loss_cls: 2.3909 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7600 semantic_segmentation_loss_cls: 0.0117 2023/10/23 23:10:34 - mmengine - INFO - Saving checkpoint at 247500 iterations 2023/10/23 23:15:31 - mmengine - INFO - Iter(train) [247600/480000] base_lr: 9.6078e-05 lr: 2.6391e-05 eta: 6 days, 19:51:58 time: 2.5023 data_time: 0.1529 memory: 26527 grad_norm: 0.8381 loss: 1.1029 grounding_loss_reg: 3.2557 detection_loss_cls: 0.0486 detection_loss_reg: 0.4387 caption_loss_cls: 2.3922 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7587 semantic_segmentation_loss_cls: 0.0117 2023/10/23 23:19:27 - mmengine - INFO - Iter(train) [247700/480000] base_lr: 9.6014e-05 lr: 2.6374e-05 eta: 6 days, 19:44:59 time: 2.4992 data_time: 0.1528 memory: 26527 grad_norm: 0.8376 loss: 1.1031 grounding_loss_reg: 3.2553 detection_loss_cls: 0.0488 detection_loss_reg: 0.4392 caption_loss_cls: 2.3934 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7591 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:23:38 - mmengine - INFO - Iter(train) [247800/480000] base_lr: 9.5949e-05 lr: 2.6357e-05 eta: 6 days, 19:40:19 time: 2.5010 data_time: 0.1528 memory: 26527 grad_norm: 0.8417 loss: 1.1009 grounding_loss_reg: 3.2542 detection_loss_cls: 0.0488 detection_loss_reg: 0.4380 caption_loss_cls: 2.3916 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7583 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:28:00 - mmengine - INFO - Iter(train) [247900/480000] base_lr: 9.5884e-05 lr: 2.6340e-05 eta: 6 days, 19:37:19 time: 2.5062 data_time: 0.1528 memory: 26527 grad_norm: 0.8413 loss: 1.1027 grounding_loss_reg: 3.2550 detection_loss_cls: 0.0488 detection_loss_reg: 0.4380 caption_loss_cls: 2.3893 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7591 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:31:59 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/23 23:31:59 - mmengine - INFO - Iter(train) [248000/480000] base_lr: 9.5819e-05 lr: 2.6324e-05 eta: 6 days, 19:30:55 time: 2.5031 data_time: 0.1526 memory: 25688 grad_norm: 0.8340 loss: 1.0929 grounding_loss_reg: 3.2540 detection_loss_cls: 0.0487 detection_loss_reg: 0.4378 caption_loss_cls: 2.3910 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7586 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:31:59 - mmengine - INFO - Saving checkpoint at 248000 iterations 2023/10/23 23:37:20 - mmengine - INFO - Iter(train) [248100/480000] base_lr: 9.5755e-05 lr: 2.6307e-05 eta: 6 days, 19:36:38 time: 2.4998 data_time: 0.1523 memory: 26527 grad_norm: 0.8355 loss: 1.0920 grounding_loss_reg: 3.2538 detection_loss_cls: 0.0486 detection_loss_reg: 0.4365 caption_loss_cls: 2.3929 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7576 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:40:42 - mmengine - INFO - Iter(train) [248200/480000] base_lr: 9.5690e-05 lr: 2.6290e-05 eta: 6 days, 19:24:41 time: 2.4882 data_time: 0.1523 memory: 26527 grad_norm: 0.8433 loss: 1.1002 grounding_loss_reg: 3.2532 detection_loss_cls: 0.0486 detection_loss_reg: 0.4368 caption_loss_cls: 2.3945 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7591 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:44:27 - mmengine - INFO - Iter(train) [248300/480000] base_lr: 9.5625e-05 lr: 2.6273e-05 eta: 6 days, 19:16:15 time: 2.4838 data_time: 0.1524 memory: 25688 grad_norm: 0.8471 loss: 1.1028 grounding_loss_reg: 3.2530 detection_loss_cls: 0.0485 detection_loss_reg: 0.4374 caption_loss_cls: 2.3948 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7608 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:48:18 - mmengine - INFO - Iter(train) [248400/480000] base_lr: 9.5561e-05 lr: 2.6256e-05 eta: 6 days, 19:08:47 time: 2.4820 data_time: 0.1524 memory: 25688 grad_norm: 0.8483 loss: 1.1062 grounding_loss_reg: 3.2524 detection_loss_cls: 0.0484 detection_loss_reg: 0.4374 caption_loss_cls: 2.3999 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7622 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:52:02 - mmengine - INFO - Iter(train) [248500/480000] base_lr: 9.5496e-05 lr: 2.6240e-05 eta: 6 days, 19:00:13 time: 2.4763 data_time: 0.1523 memory: 26527 grad_norm: 0.8453 loss: 1.1022 grounding_loss_reg: 3.2509 detection_loss_cls: 0.0485 detection_loss_reg: 0.4376 caption_loss_cls: 2.4015 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7606 semantic_segmentation_loss_cls: 0.0116 2023/10/23 23:52:02 - mmengine - INFO - Saving checkpoint at 248500 iterations 2023/10/23 23:57:08 - mmengine - INFO - Iter(train) [248600/480000] base_lr: 9.5431e-05 lr: 2.6223e-05 eta: 6 days, 19:03:32 time: 2.4769 data_time: 0.1522 memory: 25688 grad_norm: 0.8479 loss: 1.1078 grounding_loss_reg: 3.2519 detection_loss_cls: 0.0484 detection_loss_reg: 0.4372 caption_loss_cls: 2.4019 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7612 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:00:54 - mmengine - INFO - Iter(train) [248700/480000] base_lr: 9.5366e-05 lr: 2.6206e-05 eta: 6 days, 18:55:17 time: 2.4759 data_time: 0.1522 memory: 26527 grad_norm: 0.8543 loss: 1.1120 grounding_loss_reg: 3.2502 detection_loss_cls: 0.0485 detection_loss_reg: 0.4371 caption_loss_cls: 2.4014 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7598 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:05:08 - mmengine - INFO - Iter(train) [248800/480000] base_lr: 9.5302e-05 lr: 2.6189e-05 eta: 6 days, 18:51:12 time: 2.4740 data_time: 0.1522 memory: 26527 grad_norm: 0.8538 loss: 1.1093 grounding_loss_reg: 3.2497 detection_loss_cls: 0.0484 detection_loss_reg: 0.4363 caption_loss_cls: 2.4030 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7590 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:09:18 - mmengine - INFO - Iter(train) [248900/480000] base_lr: 9.5237e-05 lr: 2.6173e-05 eta: 6 days, 18:46:24 time: 2.4746 data_time: 0.1522 memory: 25688 grad_norm: 0.8535 loss: 1.1027 grounding_loss_reg: 3.2479 detection_loss_cls: 0.0483 detection_loss_reg: 0.4346 caption_loss_cls: 2.4046 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7572 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:13:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 00:13:11 - mmengine - INFO - Iter(train) [249000/480000] base_lr: 9.5172e-05 lr: 2.6156e-05 eta: 6 days, 18:39:14 time: 2.4715 data_time: 0.1522 memory: 26527 grad_norm: 0.8565 loss: 1.1046 grounding_loss_reg: 3.2479 detection_loss_cls: 0.0483 detection_loss_reg: 0.4350 caption_loss_cls: 2.4023 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7575 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:13:11 - mmengine - INFO - Saving checkpoint at 249000 iterations 2023/10/24 00:18:19 - mmengine - INFO - Iter(train) [249100/480000] base_lr: 9.5108e-05 lr: 2.6139e-05 eta: 6 days, 18:42:41 time: 2.4725 data_time: 0.1523 memory: 26527 grad_norm: 0.8607 loss: 1.1051 grounding_loss_reg: 3.2462 detection_loss_cls: 0.0481 detection_loss_reg: 0.4352 caption_loss_cls: 2.4020 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7579 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:21:59 - mmengine - INFO - Iter(train) [249200/480000] base_lr: 9.5043e-05 lr: 2.6122e-05 eta: 6 days, 18:33:47 time: 2.4657 data_time: 0.1522 memory: 25688 grad_norm: 0.8622 loss: 1.1099 grounding_loss_reg: 3.2454 detection_loss_cls: 0.0480 detection_loss_reg: 0.4355 caption_loss_cls: 2.4084 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7574 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:25:52 - mmengine - INFO - Iter(train) [249300/480000] base_lr: 9.4978e-05 lr: 2.6106e-05 eta: 6 days, 18:26:37 time: 2.4684 data_time: 0.1522 memory: 25688 grad_norm: 0.8648 loss: 1.1098 grounding_loss_reg: 3.2449 detection_loss_cls: 0.0481 detection_loss_reg: 0.4356 caption_loss_cls: 2.4099 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7575 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:29:48 - mmengine - INFO - Iter(train) [249400/480000] base_lr: 9.4914e-05 lr: 2.6089e-05 eta: 6 days, 18:19:53 time: 2.4689 data_time: 0.1523 memory: 26527 grad_norm: 0.8646 loss: 1.1092 grounding_loss_reg: 3.2459 detection_loss_cls: 0.0480 detection_loss_reg: 0.4345 caption_loss_cls: 2.4110 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7585 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:33:47 - mmengine - INFO - Iter(train) [249500/480000] base_lr: 9.4849e-05 lr: 2.6072e-05 eta: 6 days, 18:13:45 time: 2.4711 data_time: 0.1523 memory: 26527 grad_norm: 0.8662 loss: 1.1095 grounding_loss_reg: 3.2455 detection_loss_cls: 0.0479 detection_loss_reg: 0.4343 caption_loss_cls: 2.4092 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7589 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:33:47 - mmengine - INFO - Saving checkpoint at 249500 iterations 2023/10/24 00:39:11 - mmengine - INFO - Iter(train) [249600/480000] base_lr: 9.4784e-05 lr: 2.6055e-05 eta: 6 days, 18:19:14 time: 2.4751 data_time: 0.1526 memory: 26527 grad_norm: 0.8682 loss: 1.1092 grounding_loss_reg: 3.2438 detection_loss_cls: 0.0478 detection_loss_reg: 0.4341 caption_loss_cls: 2.4110 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7584 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:43:06 - mmengine - INFO - Iter(train) [249700/480000] base_lr: 9.4720e-05 lr: 2.6038e-05 eta: 6 days, 18:12:27 time: 2.4645 data_time: 0.1525 memory: 26527 grad_norm: 0.8716 loss: 1.1090 grounding_loss_reg: 3.2429 detection_loss_cls: 0.0480 detection_loss_reg: 0.4342 caption_loss_cls: 2.4074 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7596 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:46:41 - mmengine - INFO - Iter(train) [249800/480000] base_lr: 9.4655e-05 lr: 2.6022e-05 eta: 6 days, 18:02:51 time: 2.4559 data_time: 0.1525 memory: 25688 grad_norm: 0.8803 loss: 1.1204 grounding_loss_reg: 3.2425 detection_loss_cls: 0.0481 detection_loss_reg: 0.4348 caption_loss_cls: 2.4101 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7592 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:50:27 - mmengine - INFO - Iter(train) [249900/480000] base_lr: 9.4590e-05 lr: 2.6005e-05 eta: 6 days, 17:54:57 time: 2.4524 data_time: 0.1524 memory: 25688 grad_norm: 0.8834 loss: 1.1218 grounding_loss_reg: 3.2427 detection_loss_cls: 0.0481 detection_loss_reg: 0.4353 caption_loss_cls: 2.4051 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7594 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:54:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 00:54:38 - mmengine - INFO - Iter(train) [250000/480000] base_lr: 9.4526e-05 lr: 2.5988e-05 eta: 6 days, 17:50:23 time: 2.4565 data_time: 0.1524 memory: 26527 grad_norm: 0.8847 loss: 1.1230 grounding_loss_reg: 3.2420 detection_loss_cls: 0.0479 detection_loss_reg: 0.4338 caption_loss_cls: 2.4032 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7582 semantic_segmentation_loss_cls: 0.0116 2023/10/24 00:54:38 - mmengine - INFO - Saving checkpoint at 250000 iterations 2023/10/24 01:00:01 - mmengine - INFO - Iter(train) [250100/480000] base_lr: 9.4461e-05 lr: 2.5971e-05 eta: 6 days, 17:55:41 time: 2.4612 data_time: 0.1530 memory: 25688 grad_norm: 0.8826 loss: 1.1160 grounding_loss_reg: 3.2407 detection_loss_cls: 0.0479 detection_loss_reg: 0.4343 caption_loss_cls: 2.4015 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7580 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:04:02 - mmengine - INFO - Iter(train) [250200/480000] base_lr: 9.4396e-05 lr: 2.5955e-05 eta: 6 days, 17:49:41 time: 2.4679 data_time: 0.1530 memory: 25688 grad_norm: 0.8829 loss: 1.1197 grounding_loss_reg: 3.2412 detection_loss_cls: 0.0480 detection_loss_reg: 0.4349 caption_loss_cls: 2.3992 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7595 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:08:05 - mmengine - INFO - Iter(train) [250300/480000] base_lr: 9.4332e-05 lr: 2.5938e-05 eta: 6 days, 17:44:05 time: 2.4681 data_time: 0.1531 memory: 25688 grad_norm: 0.8808 loss: 1.1197 grounding_loss_reg: 3.2408 detection_loss_cls: 0.0479 detection_loss_reg: 0.4355 caption_loss_cls: 2.3973 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7591 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:12:07 - mmengine - INFO - Iter(train) [250400/480000] base_lr: 9.4267e-05 lr: 2.5921e-05 eta: 6 days, 17:38:14 time: 2.4739 data_time: 0.1532 memory: 25688 grad_norm: 0.8817 loss: 1.1230 grounding_loss_reg: 3.2401 detection_loss_cls: 0.0477 detection_loss_reg: 0.4352 caption_loss_cls: 2.3954 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7598 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:16:21 - mmengine - INFO - Iter(train) [250500/480000] base_lr: 9.4202e-05 lr: 2.5904e-05 eta: 6 days, 17:34:07 time: 2.4752 data_time: 0.1531 memory: 26527 grad_norm: 0.8814 loss: 1.1197 grounding_loss_reg: 3.2414 detection_loss_cls: 0.0476 detection_loss_reg: 0.4349 caption_loss_cls: 2.3957 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7599 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:16:21 - mmengine - INFO - Saving checkpoint at 250500 iterations 2023/10/24 01:21:44 - mmengine - INFO - Iter(train) [250600/480000] base_lr: 9.4138e-05 lr: 2.5888e-05 eta: 6 days, 17:39:07 time: 2.4873 data_time: 0.1534 memory: 25688 grad_norm: 0.8819 loss: 1.1206 grounding_loss_reg: 3.2417 detection_loss_cls: 0.0477 detection_loss_reg: 0.4352 caption_loss_cls: 2.3919 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7593 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:25:36 - mmengine - INFO - Iter(train) [250700/480000] base_lr: 9.4073e-05 lr: 2.5871e-05 eta: 6 days, 17:32:04 time: 2.4884 data_time: 0.1534 memory: 25688 grad_norm: 0.8849 loss: 1.1202 grounding_loss_reg: 3.2428 detection_loss_cls: 0.0477 detection_loss_reg: 0.4353 caption_loss_cls: 2.3876 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7589 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:29:47 - mmengine - INFO - Iter(train) [250800/480000] base_lr: 9.4009e-05 lr: 2.5854e-05 eta: 6 days, 17:27:29 time: 2.4964 data_time: 0.1534 memory: 26527 grad_norm: 0.8867 loss: 1.1240 grounding_loss_reg: 3.2427 detection_loss_cls: 0.0478 detection_loss_reg: 0.4359 caption_loss_cls: 2.3852 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7579 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:33:49 - mmengine - INFO - Iter(train) [250900/480000] base_lr: 9.3944e-05 lr: 2.5837e-05 eta: 6 days, 17:21:42 time: 2.5043 data_time: 0.1535 memory: 25688 grad_norm: 0.8813 loss: 1.1195 grounding_loss_reg: 3.2444 detection_loss_cls: 0.0478 detection_loss_reg: 0.4366 caption_loss_cls: 2.3829 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:37:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 01:37:44 - mmengine - INFO - Iter(train) [251000/480000] base_lr: 9.3879e-05 lr: 2.5821e-05 eta: 6 days, 17:15:00 time: 2.5062 data_time: 0.1534 memory: 25688 grad_norm: 0.8744 loss: 1.1123 grounding_loss_reg: 3.2443 detection_loss_cls: 0.0479 detection_loss_reg: 0.4375 caption_loss_cls: 2.3839 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7552 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:37:44 - mmengine - INFO - Saving checkpoint at 251000 iterations 2023/10/24 01:43:06 - mmengine - INFO - Iter(train) [251100/480000] base_lr: 9.3815e-05 lr: 2.5804e-05 eta: 6 days, 17:19:46 time: 2.5146 data_time: 0.1544 memory: 25688 grad_norm: 0.8740 loss: 1.1077 grounding_loss_reg: 3.2440 detection_loss_cls: 0.0480 detection_loss_reg: 0.4389 caption_loss_cls: 2.3816 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7537 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:47:10 - mmengine - INFO - Iter(train) [251200/480000] base_lr: 9.3750e-05 lr: 2.5787e-05 eta: 6 days, 17:14:18 time: 2.5193 data_time: 0.1544 memory: 26527 grad_norm: 0.8705 loss: 1.1034 grounding_loss_reg: 3.2435 detection_loss_cls: 0.0481 detection_loss_reg: 0.4398 caption_loss_cls: 2.3772 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7535 semantic_segmentation_loss_cls: 0.0116 2023/10/24 01:51:39 - mmengine - INFO - Iter(train) [251300/480000] base_lr: 9.3685e-05 lr: 2.5770e-05 eta: 6 days, 17:12:04 time: 2.5276 data_time: 0.1544 memory: 26527 grad_norm: 0.8672 loss: 1.0934 grounding_loss_reg: 3.2429 detection_loss_cls: 0.0482 detection_loss_reg: 0.4395 caption_loss_cls: 2.3744 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7531 semantic_segmentation_loss_cls: 0.0115 2023/10/24 01:55:38 - mmengine - INFO - Iter(train) [251400/480000] base_lr: 9.3621e-05 lr: 2.5754e-05 eta: 6 days, 17:05:50 time: 2.5333 data_time: 0.1544 memory: 26527 grad_norm: 0.8647 loss: 1.0933 grounding_loss_reg: 3.2433 detection_loss_cls: 0.0482 detection_loss_reg: 0.4397 caption_loss_cls: 2.3751 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7540 semantic_segmentation_loss_cls: 0.0115 2023/10/24 01:59:48 - mmengine - INFO - Iter(train) [251500/480000] base_lr: 9.3556e-05 lr: 2.5737e-05 eta: 6 days, 17:01:06 time: 2.5378 data_time: 0.1549 memory: 25688 grad_norm: 0.8667 loss: 1.0945 grounding_loss_reg: 3.2439 detection_loss_cls: 0.0483 detection_loss_reg: 0.4394 caption_loss_cls: 2.3708 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7541 semantic_segmentation_loss_cls: 0.0115 2023/10/24 01:59:48 - mmengine - INFO - Saving checkpoint at 251500 iterations 2023/10/24 02:05:03 - mmengine - INFO - Iter(train) [251600/480000] base_lr: 9.3492e-05 lr: 2.5720e-05 eta: 6 days, 17:04:50 time: 2.5424 data_time: 0.1547 memory: 26527 grad_norm: 0.8660 loss: 1.0937 grounding_loss_reg: 3.2435 detection_loss_cls: 0.0485 detection_loss_reg: 0.4401 caption_loss_cls: 2.3697 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7524 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:08:36 - mmengine - INFO - Iter(train) [251700/480000] base_lr: 9.3427e-05 lr: 2.5703e-05 eta: 6 days, 16:55:21 time: 2.5368 data_time: 0.1548 memory: 26527 grad_norm: 0.8723 loss: 1.0998 grounding_loss_reg: 3.2422 detection_loss_cls: 0.0485 detection_loss_reg: 0.4402 caption_loss_cls: 2.3724 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7522 semantic_segmentation_loss_cls: 0.0116 2023/10/24 02:12:51 - mmengine - INFO - Iter(train) [251800/480000] base_lr: 9.3362e-05 lr: 2.5687e-05 eta: 6 days, 16:51:13 time: 2.5377 data_time: 0.1548 memory: 25688 grad_norm: 0.8660 loss: 1.0993 grounding_loss_reg: 3.2414 detection_loss_cls: 0.0485 detection_loss_reg: 0.4397 caption_loss_cls: 2.3702 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7510 semantic_segmentation_loss_cls: 0.0116 2023/10/24 02:16:40 - mmengine - INFO - Iter(train) [251900/480000] base_lr: 9.3298e-05 lr: 2.5670e-05 eta: 6 days, 16:43:51 time: 2.5295 data_time: 0.1547 memory: 25688 grad_norm: 0.8656 loss: 1.0989 grounding_loss_reg: 3.2416 detection_loss_cls: 0.0484 detection_loss_reg: 0.4401 caption_loss_cls: 2.3681 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:20:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 02:20:53 - mmengine - INFO - Iter(train) [252000/480000] base_lr: 9.3233e-05 lr: 2.5653e-05 eta: 6 days, 16:39:30 time: 2.5328 data_time: 0.1548 memory: 26527 grad_norm: 0.8713 loss: 1.1060 grounding_loss_reg: 3.2415 detection_loss_cls: 0.0484 detection_loss_reg: 0.4403 caption_loss_cls: 2.3647 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:20:53 - mmengine - INFO - Saving checkpoint at 252000 iterations 2023/10/24 02:25:38 - mmengine - INFO - Iter(train) [252100/480000] base_lr: 9.3169e-05 lr: 2.5636e-05 eta: 6 days, 16:39:20 time: 2.5241 data_time: 0.1552 memory: 25688 grad_norm: 0.8767 loss: 1.1106 grounding_loss_reg: 3.2406 detection_loss_cls: 0.0482 detection_loss_reg: 0.4399 caption_loss_cls: 2.3658 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:29:37 - mmengine - INFO - Iter(train) [252200/480000] base_lr: 9.3104e-05 lr: 2.5620e-05 eta: 6 days, 16:33:14 time: 2.5334 data_time: 0.1553 memory: 25688 grad_norm: 0.8740 loss: 1.1096 grounding_loss_reg: 3.2417 detection_loss_cls: 0.0480 detection_loss_reg: 0.4394 caption_loss_cls: 2.3680 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7498 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:33:27 - mmengine - INFO - Iter(train) [252300/480000] base_lr: 9.3039e-05 lr: 2.5603e-05 eta: 6 days, 16:25:56 time: 2.5344 data_time: 0.1552 memory: 26527 grad_norm: 0.8681 loss: 1.1022 grounding_loss_reg: 3.2417 detection_loss_cls: 0.0480 detection_loss_reg: 0.4396 caption_loss_cls: 2.3663 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.7493 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:37:15 - mmengine - INFO - Iter(train) [252400/480000] base_lr: 9.2975e-05 lr: 2.5586e-05 eta: 6 days, 16:18:30 time: 2.5335 data_time: 0.1553 memory: 26527 grad_norm: 0.8703 loss: 1.1011 grounding_loss_reg: 3.2424 detection_loss_cls: 0.0479 detection_loss_reg: 0.4399 caption_loss_cls: 2.3650 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7501 semantic_segmentation_loss_cls: 0.0115 2023/10/24 02:40:52 - mmengine - INFO - Iter(train) [252500/480000] base_lr: 9.2910e-05 lr: 2.5569e-05 eta: 6 days, 16:09:43 time: 2.5318 data_time: 0.1554 memory: 26527 grad_norm: 0.8775 loss: 1.1116 grounding_loss_reg: 3.2431 detection_loss_cls: 0.0481 detection_loss_reg: 0.4410 caption_loss_cls: 2.3637 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0116 2023/10/24 02:40:52 - mmengine - INFO - Saving checkpoint at 252500 iterations 2023/10/24 02:45:51 - mmengine - INFO - Iter(train) [252600/480000] base_lr: 9.2846e-05 lr: 2.5553e-05 eta: 6 days, 16:11:13 time: 2.5304 data_time: 0.1554 memory: 26527 grad_norm: 0.8808 loss: 1.1121 grounding_loss_reg: 3.2440 detection_loss_cls: 0.0480 detection_loss_reg: 0.4406 caption_loss_cls: 2.3617 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7507 semantic_segmentation_loss_cls: 0.0116 2023/10/24 02:49:44 - mmengine - INFO - Iter(train) [252700/480000] base_lr: 9.2781e-05 lr: 2.5536e-05 eta: 6 days, 16:04:21 time: 2.5319 data_time: 0.1554 memory: 25688 grad_norm: 0.8763 loss: 1.1088 grounding_loss_reg: 3.2423 detection_loss_cls: 0.0480 detection_loss_reg: 0.4410 caption_loss_cls: 2.3638 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.7502 semantic_segmentation_loss_cls: 0.0116 2023/10/24 02:53:31 - mmengine - INFO - Iter(train) [252800/480000] base_lr: 9.2717e-05 lr: 2.5519e-05 eta: 6 days, 15:56:52 time: 2.5251 data_time: 0.1553 memory: 25688 grad_norm: 0.8853 loss: 1.1122 grounding_loss_reg: 3.2413 detection_loss_cls: 0.0481 detection_loss_reg: 0.4415 caption_loss_cls: 2.3612 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7489 semantic_segmentation_loss_cls: 0.0116 2023/10/24 02:57:27 - mmengine - INFO - Iter(train) [252900/480000] base_lr: 9.2652e-05 lr: 2.5502e-05 eta: 6 days, 15:50:32 time: 2.5217 data_time: 0.1553 memory: 25688 grad_norm: 0.8844 loss: 1.1230 grounding_loss_reg: 3.2423 detection_loss_cls: 0.0481 detection_loss_reg: 0.4419 caption_loss_cls: 2.3620 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:01:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 03:01:14 - mmengine - INFO - Iter(train) [253000/480000] base_lr: 9.2587e-05 lr: 2.5486e-05 eta: 6 days, 15:43:07 time: 2.5203 data_time: 0.1553 memory: 26527 grad_norm: 0.8808 loss: 1.1216 grounding_loss_reg: 3.2426 detection_loss_cls: 0.0482 detection_loss_reg: 0.4416 caption_loss_cls: 2.3615 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7507 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:01:14 - mmengine - INFO - Saving checkpoint at 253000 iterations 2023/10/24 03:06:48 - mmengine - INFO - Iter(train) [253100/480000] base_lr: 9.2523e-05 lr: 2.5469e-05 eta: 6 days, 15:48:40 time: 2.5268 data_time: 0.1551 memory: 26527 grad_norm: 0.8729 loss: 1.1173 grounding_loss_reg: 3.2425 detection_loss_cls: 0.0484 detection_loss_reg: 0.4426 caption_loss_cls: 2.3607 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7527 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:10:34 - mmengine - INFO - Iter(train) [253200/480000] base_lr: 9.2458e-05 lr: 2.5452e-05 eta: 6 days, 15:41:06 time: 2.5281 data_time: 0.1551 memory: 26527 grad_norm: 0.8681 loss: 1.1053 grounding_loss_reg: 3.2428 detection_loss_cls: 0.0485 detection_loss_reg: 0.4419 caption_loss_cls: 2.3601 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7523 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:14:43 - mmengine - INFO - Iter(train) [253300/480000] base_lr: 9.2394e-05 lr: 2.5435e-05 eta: 6 days, 15:36:16 time: 2.5321 data_time: 0.1552 memory: 25688 grad_norm: 0.8642 loss: 1.1047 grounding_loss_reg: 3.2420 detection_loss_cls: 0.0483 detection_loss_reg: 0.4409 caption_loss_cls: 2.3639 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7505 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:19:02 - mmengine - INFO - Iter(train) [253400/480000] base_lr: 9.2329e-05 lr: 2.5419e-05 eta: 6 days, 15:32:49 time: 2.5382 data_time: 0.1552 memory: 26527 grad_norm: 0.8627 loss: 1.1032 grounding_loss_reg: 3.2418 detection_loss_cls: 0.0484 detection_loss_reg: 0.4414 caption_loss_cls: 2.3608 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7523 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:22:37 - mmengine - INFO - Iter(train) [253500/480000] base_lr: 9.2265e-05 lr: 2.5402e-05 eta: 6 days, 15:23:56 time: 2.5318 data_time: 0.1550 memory: 25688 grad_norm: 0.8624 loss: 1.1023 grounding_loss_reg: 3.2407 detection_loss_cls: 0.0481 detection_loss_reg: 0.4394 caption_loss_cls: 2.3578 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:22:37 - mmengine - INFO - Saving checkpoint at 253500 iterations 2023/10/24 03:28:12 - mmengine - INFO - Iter(train) [253600/480000] base_lr: 9.2200e-05 lr: 2.5385e-05 eta: 6 days, 15:29:27 time: 2.5348 data_time: 0.1547 memory: 26527 grad_norm: 0.8562 loss: 1.0961 grounding_loss_reg: 3.2395 detection_loss_cls: 0.0478 detection_loss_reg: 0.4387 caption_loss_cls: 2.3600 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:32:15 - mmengine - INFO - Iter(train) [253700/480000] base_lr: 9.2136e-05 lr: 2.5368e-05 eta: 6 days, 15:23:55 time: 2.5367 data_time: 0.1548 memory: 25688 grad_norm: 0.8559 loss: 1.0980 grounding_loss_reg: 3.2375 detection_loss_cls: 0.0476 detection_loss_reg: 0.4383 caption_loss_cls: 2.3608 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7538 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:36:12 - mmengine - INFO - Iter(train) [253800/480000] base_lr: 9.2071e-05 lr: 2.5352e-05 eta: 6 days, 15:17:48 time: 2.5424 data_time: 0.1548 memory: 26527 grad_norm: 0.8505 loss: 1.0913 grounding_loss_reg: 3.2375 detection_loss_cls: 0.0476 detection_loss_reg: 0.4390 caption_loss_cls: 2.3571 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7522 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:40:21 - mmengine - INFO - Iter(train) [253900/480000] base_lr: 9.2007e-05 lr: 2.5335e-05 eta: 6 days, 15:13:02 time: 2.5480 data_time: 0.1548 memory: 26527 grad_norm: 0.8437 loss: 1.0858 grounding_loss_reg: 3.2365 detection_loss_cls: 0.0480 detection_loss_reg: 0.4384 caption_loss_cls: 2.3574 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7519 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:44:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 03:44:28 - mmengine - INFO - Iter(train) [254000/480000] base_lr: 9.1942e-05 lr: 2.5318e-05 eta: 6 days, 15:08:02 time: 2.5470 data_time: 0.1548 memory: 26527 grad_norm: 0.8432 loss: 1.0907 grounding_loss_reg: 3.2371 detection_loss_cls: 0.0481 detection_loss_reg: 0.4390 caption_loss_cls: 2.3599 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7519 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:44:28 - mmengine - INFO - Saving checkpoint at 254000 iterations 2023/10/24 03:50:00 - mmengine - INFO - Iter(train) [254100/480000] base_lr: 9.1877e-05 lr: 2.5302e-05 eta: 6 days, 15:12:58 time: 2.5491 data_time: 0.1547 memory: 26527 grad_norm: 0.8456 loss: 1.0943 grounding_loss_reg: 3.2380 detection_loss_cls: 0.0480 detection_loss_reg: 0.4388 caption_loss_cls: 2.3585 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7522 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:54:01 - mmengine - INFO - Iter(train) [254200/480000] base_lr: 9.1813e-05 lr: 2.5285e-05 eta: 6 days, 15:07:16 time: 2.5493 data_time: 0.1546 memory: 25688 grad_norm: 0.8430 loss: 1.0885 grounding_loss_reg: 3.2386 detection_loss_cls: 0.0480 detection_loss_reg: 0.4386 caption_loss_cls: 2.3558 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.7508 semantic_segmentation_loss_cls: 0.0115 2023/10/24 03:58:04 - mmengine - INFO - Iter(train) [254300/480000] base_lr: 9.1748e-05 lr: 2.5268e-05 eta: 6 days, 15:01:48 time: 2.5492 data_time: 0.1547 memory: 25688 grad_norm: 0.8410 loss: 1.0911 grounding_loss_reg: 3.2388 detection_loss_cls: 0.0479 detection_loss_reg: 0.4388 caption_loss_cls: 2.3558 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7516 semantic_segmentation_loss_cls: 0.0115 2023/10/24 04:01:58 - mmengine - INFO - Iter(train) [254400/480000] base_lr: 9.1684e-05 lr: 2.5251e-05 eta: 6 days, 14:55:12 time: 2.5472 data_time: 0.1547 memory: 25688 grad_norm: 0.8395 loss: 1.0885 grounding_loss_reg: 3.2376 detection_loss_cls: 0.0479 detection_loss_reg: 0.4390 caption_loss_cls: 2.3546 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7512 semantic_segmentation_loss_cls: 0.0115 2023/10/24 04:05:48 - mmengine - INFO - Iter(train) [254500/480000] base_lr: 9.1619e-05 lr: 2.5235e-05 eta: 6 days, 14:48:18 time: 2.5412 data_time: 0.1547 memory: 26527 grad_norm: 0.8432 loss: 1.0947 grounding_loss_reg: 3.2370 detection_loss_cls: 0.0477 detection_loss_reg: 0.4385 caption_loss_cls: 2.3529 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7521 semantic_segmentation_loss_cls: 0.0114 2023/10/24 04:05:48 - mmengine - INFO - Saving checkpoint at 254500 iterations 2023/10/24 04:10:40 - mmengine - INFO - Iter(train) [254600/480000] base_lr: 9.1555e-05 lr: 2.5218e-05 eta: 6 days, 14:48:32 time: 2.5337 data_time: 0.1547 memory: 25688 grad_norm: 0.8446 loss: 1.0968 grounding_loss_reg: 3.2362 detection_loss_cls: 0.0476 detection_loss_reg: 0.4388 caption_loss_cls: 2.3508 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7531 semantic_segmentation_loss_cls: 0.0114 2023/10/24 04:14:41 - mmengine - INFO - Iter(train) [254700/480000] base_lr: 9.1490e-05 lr: 2.5201e-05 eta: 6 days, 14:42:51 time: 2.5358 data_time: 0.1548 memory: 26527 grad_norm: 0.8467 loss: 1.1047 grounding_loss_reg: 3.2379 detection_loss_cls: 0.0476 detection_loss_reg: 0.4393 caption_loss_cls: 2.3527 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0115 2023/10/24 04:18:41 - mmengine - INFO - Iter(train) [254800/480000] base_lr: 9.1426e-05 lr: 2.5184e-05 eta: 6 days, 14:36:58 time: 2.5328 data_time: 0.1548 memory: 26527 grad_norm: 0.8470 loss: 1.1056 grounding_loss_reg: 3.2386 detection_loss_cls: 0.0477 detection_loss_reg: 0.4397 caption_loss_cls: 2.3556 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7517 semantic_segmentation_loss_cls: 0.0114 2023/10/24 04:22:35 - mmengine - INFO - Iter(train) [254900/480000] base_lr: 9.1361e-05 lr: 2.5168e-05 eta: 6 days, 14:30:32 time: 2.5309 data_time: 0.1548 memory: 25688 grad_norm: 0.8462 loss: 1.1053 grounding_loss_reg: 3.2383 detection_loss_cls: 0.0475 detection_loss_reg: 0.4391 caption_loss_cls: 2.3522 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7525 semantic_segmentation_loss_cls: 0.0114 2023/10/24 04:27:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231023_043034 2023/10/24 04:27:09 - mmengine - INFO - Iter(train) [255000/480000] base_lr: 9.1297e-05 lr: 2.5151e-05 eta: 6 days, 14:28:37 time: 2.5407 data_time: 0.1549 memory: 26527 grad_norm: 0.8409 loss: 1.0987 grounding_loss_reg: 3.2380 detection_loss_cls: 0.0475 detection_loss_reg: 0.4377 caption_loss_cls: 2.3524 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0114 2023/10/24 04:27:09 - mmengine - INFO - Saving checkpoint at 255000 iterations 2023/10/27 08:09:51 - mmengine - INFO - Iter(train) [255600/480000] base_lr: 9.0910e-05 lr: 2.5051e-05 eta: 4 days, 10:13:30 time: 2.3865 data_time: 0.1352 memory: 25727 grad_norm: 0.8896 loss: 1.1165 grounding_loss_reg: 3.2357 detection_loss_cls: 0.0478 detection_loss_reg: 0.4397 caption_loss_cls: 2.3314 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7512 semantic_segmentation_loss_cls: 0.0115 2023/10/27 08:12:46 - mmengine - INFO - Iter(train) [255700/480000] base_lr: 9.0846e-05 lr: 2.5034e-05 eta: 4 days, 10:31:53 time: 2.3769 data_time: 0.1351 memory: 25727 grad_norm: 0.8900 loss: 1.1070 grounding_loss_reg: 3.2345 detection_loss_cls: 0.0477 detection_loss_reg: 0.4393 caption_loss_cls: 2.3275 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7514 semantic_segmentation_loss_cls: 0.0115 2023/10/27 08:15:52 - mmengine - INFO - Iter(train) [255800/480000] base_lr: 9.0781e-05 lr: 2.5017e-05 eta: 4 days, 11:41:19 time: 2.3599 data_time: 0.1351 memory: 25727 grad_norm: 0.9014 loss: 1.1144 grounding_loss_reg: 3.2328 detection_loss_cls: 0.0477 detection_loss_reg: 0.4393 caption_loss_cls: 2.3241 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7523 semantic_segmentation_loss_cls: 0.0115 2023/10/27 08:18:50 - mmengine - INFO - Iter(train) [255900/480000] base_lr: 9.0717e-05 lr: 2.5001e-05 eta: 4 days, 11:56:26 time: 2.3469 data_time: 0.1351 memory: 26565 grad_norm: 0.9160 loss: 1.1252 grounding_loss_reg: 3.2341 detection_loss_cls: 0.0475 detection_loss_reg: 0.4381 caption_loss_cls: 2.3262 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7510 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:22:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 08:22:03 - mmengine - INFO - Iter(train) [256000/480000] base_lr: 9.0652e-05 lr: 2.4984e-05 eta: 4 days, 13:06:56 time: 2.3320 data_time: 0.1351 memory: 26565 grad_norm: 0.9238 loss: 1.1319 grounding_loss_reg: 3.2324 detection_loss_cls: 0.0476 detection_loss_reg: 0.4383 caption_loss_cls: 2.3242 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7511 semantic_segmentation_loss_cls: 0.0115 2023/10/27 08:22:03 - mmengine - INFO - Saving checkpoint at 256000 iterations 2023/10/27 08:26:35 - mmengine - INFO - Iter(train) [256100/480000] base_lr: 9.0588e-05 lr: 2.4967e-05 eta: 4 days, 18:32:06 time: 2.3286 data_time: 0.1335 memory: 26565 grad_norm: 0.9275 loss: 1.1345 grounding_loss_reg: 3.2324 detection_loss_cls: 0.0475 detection_loss_reg: 0.4376 caption_loss_cls: 2.3241 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:29:54 - mmengine - INFO - Iter(train) [256200/480000] base_lr: 9.0523e-05 lr: 2.4951e-05 eta: 4 days, 19:14:27 time: 2.3186 data_time: 0.1334 memory: 25727 grad_norm: 0.9384 loss: 1.1372 grounding_loss_reg: 3.2303 detection_loss_cls: 0.0475 detection_loss_reg: 0.4370 caption_loss_cls: 2.3215 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7504 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:33:15 - mmengine - INFO - Iter(train) [256300/480000] base_lr: 9.0459e-05 lr: 2.4934e-05 eta: 4 days, 19:55:28 time: 2.3114 data_time: 0.1333 memory: 25727 grad_norm: 0.9445 loss: 1.1400 grounding_loss_reg: 3.2307 detection_loss_cls: 0.0474 detection_loss_reg: 0.4366 caption_loss_cls: 2.3203 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7528 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:36:38 - mmengine - INFO - Iter(train) [256400/480000] base_lr: 9.0395e-05 lr: 2.4917e-05 eta: 4 days, 20:38:12 time: 2.3054 data_time: 0.1332 memory: 25727 grad_norm: 0.9534 loss: 1.1462 grounding_loss_reg: 3.2286 detection_loss_cls: 0.0475 detection_loss_reg: 0.4370 caption_loss_cls: 2.3203 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7535 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:40:17 - mmengine - INFO - Iter(train) [256500/480000] base_lr: 9.0330e-05 lr: 2.4900e-05 eta: 4 days, 21:52:40 time: 2.3059 data_time: 0.1332 memory: 25727 grad_norm: 0.9598 loss: 1.1510 grounding_loss_reg: 3.2283 detection_loss_cls: 0.0476 detection_loss_reg: 0.4371 caption_loss_cls: 2.3192 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7559 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:40:17 - mmengine - INFO - Saving checkpoint at 256500 iterations 2023/10/27 08:44:55 - mmengine - INFO - Iter(train) [256600/480000] base_lr: 9.0266e-05 lr: 2.4884e-05 eta: 5 days, 1:12:30 time: 2.3003 data_time: 0.1322 memory: 25727 grad_norm: 0.9637 loss: 1.1525 grounding_loss_reg: 3.2295 detection_loss_cls: 0.0476 detection_loss_reg: 0.4368 caption_loss_cls: 2.3166 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7559 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:48:19 - mmengine - INFO - Iter(train) [256700/480000] base_lr: 9.0201e-05 lr: 2.4867e-05 eta: 5 days, 1:28:12 time: 2.2932 data_time: 0.1321 memory: 26565 grad_norm: 0.9727 loss: 1.1628 grounding_loss_reg: 3.2293 detection_loss_cls: 0.0477 detection_loss_reg: 0.4383 caption_loss_cls: 2.3206 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7563 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:51:57 - mmengine - INFO - Iter(train) [256800/480000] base_lr: 9.0137e-05 lr: 2.4850e-05 eta: 5 days, 2:11:57 time: 2.2911 data_time: 0.1321 memory: 25727 grad_norm: 0.9718 loss: 1.1643 grounding_loss_reg: 3.2289 detection_loss_cls: 0.0476 detection_loss_reg: 0.4376 caption_loss_cls: 2.3222 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7537 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:55:35 - mmengine - INFO - Iter(train) [256900/480000] base_lr: 9.0073e-05 lr: 2.4834e-05 eta: 5 days, 2:49:53 time: 2.2866 data_time: 0.1320 memory: 25727 grad_norm: 0.9791 loss: 1.1595 grounding_loss_reg: 3.2282 detection_loss_cls: 0.0476 detection_loss_reg: 0.4370 caption_loss_cls: 2.3219 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7541 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:58:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 08:58:56 - mmengine - INFO - Iter(train) [257000/480000] base_lr: 9.0008e-05 lr: 2.4817e-05 eta: 5 days, 2:50:47 time: 2.2799 data_time: 0.1320 memory: 25727 grad_norm: 0.9873 loss: 1.1667 grounding_loss_reg: 3.2293 detection_loss_cls: 0.0476 detection_loss_reg: 0.4377 caption_loss_cls: 2.3206 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7542 semantic_segmentation_loss_cls: 0.0114 2023/10/27 08:58:56 - mmengine - INFO - Saving checkpoint at 257000 iterations 2023/10/27 09:03:41 - mmengine - INFO - Iter(train) [257100/480000] base_lr: 8.9944e-05 lr: 2.4800e-05 eta: 5 days, 5:21:16 time: 2.2678 data_time: 0.1304 memory: 25727 grad_norm: 0.9975 loss: 1.1711 grounding_loss_reg: 3.2291 detection_loss_cls: 0.0477 detection_loss_reg: 0.4380 caption_loss_cls: 2.3204 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7541 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:08:05 - mmengine - INFO - Iter(train) [257200/480000] base_lr: 8.9879e-05 lr: 2.4784e-05 eta: 5 days, 7:01:15 time: 2.2772 data_time: 0.1305 memory: 26565 grad_norm: 1.0114 loss: 1.1825 grounding_loss_reg: 3.2284 detection_loss_cls: 0.0476 detection_loss_reg: 0.4374 caption_loss_cls: 2.3190 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:11:20 - mmengine - INFO - Iter(train) [257300/480000] base_lr: 8.9815e-05 lr: 2.4767e-05 eta: 5 days, 6:41:32 time: 2.2639 data_time: 0.1304 memory: 25727 grad_norm: 1.0232 loss: 1.1875 grounding_loss_reg: 3.2264 detection_loss_cls: 0.0474 detection_loss_reg: 0.4362 caption_loss_cls: 2.3214 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:14:39 - mmengine - INFO - Iter(train) [257400/480000] base_lr: 8.9751e-05 lr: 2.4750e-05 eta: 5 days, 6:28:04 time: 2.2485 data_time: 0.1303 memory: 26565 grad_norm: 1.0403 loss: 1.1990 grounding_loss_reg: 3.2273 detection_loss_cls: 0.0474 detection_loss_reg: 0.4362 caption_loss_cls: 2.3186 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7537 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:18:36 - mmengine - INFO - Iter(train) [257500/480000] base_lr: 8.9686e-05 lr: 2.4733e-05 eta: 5 days, 7:13:20 time: 2.2542 data_time: 0.1303 memory: 26565 grad_norm: 1.0442 loss: 1.2065 grounding_loss_reg: 3.2264 detection_loss_cls: 0.0474 detection_loss_reg: 0.4369 caption_loss_cls: 2.3216 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7548 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:18:36 - mmengine - INFO - Saving checkpoint at 257500 iterations 2023/10/27 09:23:03 - mmengine - INFO - Iter(train) [257600/480000] base_lr: 8.9622e-05 lr: 2.4717e-05 eta: 5 days, 8:37:34 time: 2.2373 data_time: 0.1288 memory: 25727 grad_norm: 1.0600 loss: 1.2180 grounding_loss_reg: 3.2266 detection_loss_cls: 0.0473 detection_loss_reg: 0.4369 caption_loss_cls: 2.3180 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7556 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:27:14 - mmengine - INFO - Iter(train) [257700/480000] base_lr: 8.9558e-05 lr: 2.4700e-05 eta: 5 days, 9:32:41 time: 2.2394 data_time: 0.1288 memory: 25727 grad_norm: 1.0648 loss: 1.2210 grounding_loss_reg: 3.2244 detection_loss_cls: 0.0474 detection_loss_reg: 0.4370 caption_loss_cls: 2.3184 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7561 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:31:10 - mmengine - INFO - Iter(train) [257800/480000] base_lr: 8.9493e-05 lr: 2.4683e-05 eta: 5 days, 10:02:45 time: 2.2388 data_time: 0.1288 memory: 25727 grad_norm: 1.0758 loss: 1.2279 grounding_loss_reg: 3.2236 detection_loss_cls: 0.0471 detection_loss_reg: 0.4361 caption_loss_cls: 2.3191 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:34:43 - mmengine - INFO - Iter(train) [257900/480000] base_lr: 8.9429e-05 lr: 2.4667e-05 eta: 5 days, 10:02:31 time: 2.2299 data_time: 0.1288 memory: 26565 grad_norm: 1.0871 loss: 1.2381 grounding_loss_reg: 3.2219 detection_loss_cls: 0.0469 detection_loss_reg: 0.4349 caption_loss_cls: 2.3186 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7566 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:38:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 09:38:19 - mmengine - INFO - Iter(train) [258000/480000] base_lr: 8.9364e-05 lr: 2.4650e-05 eta: 5 days, 10:04:54 time: 2.2220 data_time: 0.1287 memory: 25727 grad_norm: 1.0925 loss: 1.2405 grounding_loss_reg: 3.2213 detection_loss_cls: 0.0468 detection_loss_reg: 0.4340 caption_loss_cls: 2.3181 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7547 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:38:19 - mmengine - INFO - Saving checkpoint at 258000 iterations 2023/10/27 09:43:31 - mmengine - INFO - Iter(train) [258100/480000] base_lr: 8.9300e-05 lr: 2.4633e-05 eta: 5 days, 12:02:14 time: 2.2172 data_time: 0.1278 memory: 26565 grad_norm: 1.1031 loss: 1.2486 grounding_loss_reg: 3.2181 detection_loss_cls: 0.0468 detection_loss_reg: 0.4337 caption_loss_cls: 2.3201 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:47:20 - mmengine - INFO - Iter(train) [258200/480000] base_lr: 8.9236e-05 lr: 2.4617e-05 eta: 5 days, 12:16:26 time: 2.2143 data_time: 0.1279 memory: 25727 grad_norm: 1.1121 loss: 1.2605 grounding_loss_reg: 3.2160 detection_loss_cls: 0.0468 detection_loss_reg: 0.4337 caption_loss_cls: 2.3211 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7551 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:51:22 - mmengine - INFO - Iter(train) [258300/480000] base_lr: 8.9171e-05 lr: 2.4600e-05 eta: 5 days, 12:43:10 time: 2.2139 data_time: 0.1278 memory: 25727 grad_norm: 1.1205 loss: 1.2622 grounding_loss_reg: 3.2155 detection_loss_cls: 0.0467 detection_loss_reg: 0.4344 caption_loss_cls: 2.3183 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7550 semantic_segmentation_loss_cls: 0.0114 2023/10/27 09:54:41 - mmengine - INFO - Iter(train) [258400/480000] base_lr: 8.9107e-05 lr: 2.4583e-05 eta: 5 days, 12:21:10 time: 2.2053 data_time: 0.1277 memory: 26565 grad_norm: 1.1285 loss: 1.2730 grounding_loss_reg: 3.2139 detection_loss_cls: 0.0468 detection_loss_reg: 0.4344 caption_loss_cls: 2.3203 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7551 semantic_segmentation_loss_cls: 0.0113 2023/10/27 09:58:36 - mmengine - INFO - Iter(train) [258500/480000] base_lr: 8.9043e-05 lr: 2.4567e-05 eta: 5 days, 12:38:19 time: 2.2064 data_time: 0.1276 memory: 26565 grad_norm: 1.1351 loss: 1.2731 grounding_loss_reg: 3.2115 detection_loss_cls: 0.0467 detection_loss_reg: 0.4343 caption_loss_cls: 2.3203 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0113 2023/10/27 09:58:36 - mmengine - INFO - Saving checkpoint at 258500 iterations 2023/10/27 10:03:17 - mmengine - INFO - Iter(train) [258600/480000] base_lr: 8.8978e-05 lr: 2.4550e-05 eta: 5 days, 13:42:17 time: 2.2037 data_time: 0.1266 memory: 25727 grad_norm: 1.1456 loss: 1.2799 grounding_loss_reg: 3.2111 detection_loss_cls: 0.0466 detection_loss_reg: 0.4333 caption_loss_cls: 2.3217 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7527 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:07:21 - mmengine - INFO - Iter(train) [258700/480000] base_lr: 8.8914e-05 lr: 2.4533e-05 eta: 5 days, 14:05:14 time: 2.2044 data_time: 0.1265 memory: 25727 grad_norm: 1.1453 loss: 1.2708 grounding_loss_reg: 3.2102 detection_loss_cls: 0.0466 detection_loss_reg: 0.4327 caption_loss_cls: 2.3213 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7511 semantic_segmentation_loss_cls: 0.0114 2023/10/27 10:11:20 - mmengine - INFO - Iter(train) [258800/480000] base_lr: 8.8850e-05 lr: 2.4517e-05 eta: 5 days, 14:21:49 time: 2.2044 data_time: 0.1264 memory: 26565 grad_norm: 1.1516 loss: 1.2759 grounding_loss_reg: 3.2116 detection_loss_cls: 0.0465 detection_loss_reg: 0.4322 caption_loss_cls: 2.3241 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7531 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:15:05 - mmengine - INFO - Iter(train) [258900/480000] base_lr: 8.8786e-05 lr: 2.4500e-05 eta: 5 days, 14:24:17 time: 2.2021 data_time: 0.1265 memory: 26565 grad_norm: 1.1655 loss: 1.2851 grounding_loss_reg: 3.2091 detection_loss_cls: 0.0465 detection_loss_reg: 0.4331 caption_loss_cls: 2.3264 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7523 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:19:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 10:19:17 - mmengine - INFO - Iter(train) [259000/480000] base_lr: 8.8721e-05 lr: 2.4483e-05 eta: 5 days, 14:50:45 time: 2.1966 data_time: 0.1265 memory: 26565 grad_norm: 1.1793 loss: 1.2946 grounding_loss_reg: 3.2063 detection_loss_cls: 0.0464 detection_loss_reg: 0.4328 caption_loss_cls: 2.3240 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7516 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:19:17 - mmengine - INFO - Saving checkpoint at 259000 iterations 2023/10/27 10:23:53 - mmengine - INFO - Iter(train) [259100/480000] base_lr: 8.8657e-05 lr: 2.4467e-05 eta: 5 days, 15:37:30 time: 2.2307 data_time: 0.1422 memory: 26565 grad_norm: 1.1768 loss: 1.3011 grounding_loss_reg: 3.2057 detection_loss_cls: 0.0465 detection_loss_reg: 0.4332 caption_loss_cls: 2.3259 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0114 2023/10/27 10:27:44 - mmengine - INFO - Iter(train) [259200/480000] base_lr: 8.8593e-05 lr: 2.4450e-05 eta: 5 days, 15:42:42 time: 2.2507 data_time: 0.1422 memory: 25727 grad_norm: 1.1759 loss: 1.3015 grounding_loss_reg: 3.2051 detection_loss_cls: 0.0461 detection_loss_reg: 0.4326 caption_loss_cls: 2.3240 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7508 semantic_segmentation_loss_cls: 0.0114 2023/10/27 10:31:26 - mmengine - INFO - Iter(train) [259300/480000] base_lr: 8.8528e-05 lr: 2.4433e-05 eta: 5 days, 15:39:44 time: 2.2640 data_time: 0.1422 memory: 26565 grad_norm: 1.1750 loss: 1.2993 grounding_loss_reg: 3.2055 detection_loss_cls: 0.0459 detection_loss_reg: 0.4310 caption_loss_cls: 2.3196 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7481 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:35:02 - mmengine - INFO - Iter(train) [259400/480000] base_lr: 8.8464e-05 lr: 2.4417e-05 eta: 5 days, 15:31:36 time: 2.2780 data_time: 0.1423 memory: 26565 grad_norm: 1.1766 loss: 1.3087 grounding_loss_reg: 3.2053 detection_loss_cls: 0.0459 detection_loss_reg: 0.4311 caption_loss_cls: 2.3160 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7490 semantic_segmentation_loss_cls: 0.0114 2023/10/27 10:38:35 - mmengine - INFO - Iter(train) [259500/480000] base_lr: 8.8400e-05 lr: 2.4400e-05 eta: 5 days, 15:20:50 time: 2.2878 data_time: 0.1422 memory: 25727 grad_norm: 1.1832 loss: 1.3164 grounding_loss_reg: 3.2063 detection_loss_cls: 0.0460 detection_loss_reg: 0.4309 caption_loss_cls: 2.3161 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:38:35 - mmengine - INFO - Saving checkpoint at 259500 iterations 2023/10/27 10:43:50 - mmengine - INFO - Iter(train) [259600/480000] base_lr: 8.8336e-05 lr: 2.4383e-05 eta: 5 days, 16:32:37 time: 2.3092 data_time: 0.1423 memory: 25727 grad_norm: 1.1834 loss: 1.3184 grounding_loss_reg: 3.2056 detection_loss_cls: 0.0460 detection_loss_reg: 0.4309 caption_loss_cls: 2.3119 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7491 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:47:31 - mmengine - INFO - Iter(train) [259700/480000] base_lr: 8.8271e-05 lr: 2.4367e-05 eta: 5 days, 16:26:33 time: 2.3206 data_time: 0.1424 memory: 26565 grad_norm: 1.1790 loss: 1.3291 grounding_loss_reg: 3.2065 detection_loss_cls: 0.0462 detection_loss_reg: 0.4325 caption_loss_cls: 2.3167 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:51:42 - mmengine - INFO - Iter(train) [259800/480000] base_lr: 8.8207e-05 lr: 2.4350e-05 eta: 5 days, 16:44:46 time: 2.3369 data_time: 0.1424 memory: 26565 grad_norm: 1.1766 loss: 1.3305 grounding_loss_reg: 3.2069 detection_loss_cls: 0.0462 detection_loss_reg: 0.4330 caption_loss_cls: 2.3194 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7504 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:55:29 - mmengine - INFO - Iter(train) [259900/480000] base_lr: 8.8143e-05 lr: 2.4333e-05 eta: 5 days, 16:43:05 time: 2.3492 data_time: 0.1423 memory: 26565 grad_norm: 1.1767 loss: 1.3290 grounding_loss_reg: 3.2055 detection_loss_cls: 0.0463 detection_loss_reg: 0.4332 caption_loss_cls: 2.3202 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7505 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:59:07 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 10:59:07 - mmengine - INFO - Iter(train) [260000/480000] base_lr: 8.8079e-05 lr: 2.4317e-05 eta: 5 days, 16:35:17 time: 2.3554 data_time: 0.1423 memory: 26565 grad_norm: 1.1833 loss: 1.3325 grounding_loss_reg: 3.2035 detection_loss_cls: 0.0465 detection_loss_reg: 0.4334 caption_loss_cls: 2.3165 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0113 2023/10/27 10:59:07 - mmengine - INFO - Saving checkpoint at 260000 iterations 2023/10/27 11:04:57 - mmengine - INFO - Evaluating bbox... 2023/10/27 11:06:02 - mmengine - INFO - bbox_mAP_copypaste: 0.498 0.677 0.545 0.348 0.546 0.651 2023/10/27 11:06:02 - mmengine - INFO - Evaluating segm... 2023/10/27 11:07:17 - mmengine - INFO - segm_mAP_copypaste: 0.322 0.578 0.320 0.192 0.368 0.504 2023/10/27 11:09:22 - mmengine - INFO - Evaluating bbox... 2023/10/27 11:10:28 - mmengine - INFO - bbox_mAP_copypaste: 0.499 0.678 0.545 0.348 0.548 0.652 2023/10/27 11:15:11 - mmengine - INFO - per class results: 2023/10/27 11:15:11 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.21 | 90.53 | | building | 82.13 | 94.46 | | sky | 92.48 | 97.99 | | floor | 81.13 | 87.51 | | tree | 71.81 | 81.3 | | ceiling | 83.77 | 90.98 | | road | 83.41 | 86.39 | | bed | 87.65 | 94.57 | | windowpane | 62.56 | 79.97 | | grass | 70.12 | 84.26 | | cabinet | 60.58 | 68.32 | | sidewalk | 65.45 | 85.79 | | person | 79.9 | 89.64 | | earth | 42.15 | 62.68 | | door | 49.6 | 61.14 | | table | 60.38 | 77.86 | | mountain | 58.81 | 79.09 | | plant | 52.66 | 61.8 | | curtain | 74.53 | 86.66 | | chair | 56.03 | 68.76 | | car | 81.93 | 90.78 | | water | 44.23 | 52.36 | | painting | 70.95 | 84.64 | | sofa | 67.8 | 76.5 | | shelf | 43.3 | 72.85 | | house | 31.86 | 34.84 | | sea | 59.95 | 79.66 | | mirror | 65.82 | 74.06 | | rug | 69.36 | 83.64 | | field | 29.83 | 46.04 | | armchair | 47.2 | 66.62 | | seat | 66.1 | 83.22 | | fence | 42.11 | 50.73 | | desk | 46.17 | 62.76 | | rock | 45.7 | 55.72 | | wardrobe | 46.07 | 57.51 | | lamp | 59.9 | 75.17 | | bathtub | 80.59 | 86.5 | | railing | 34.6 | 45.4 | | cushion | 55.45 | 81.1 | | base | 25.67 | 42.09 | | box | 28.14 | 35.17 | | column | 49.53 | 64.18 | | signboard | 33.5 | 38.57 | | chest of drawers | 37.57 | 69.11 | | counter | 30.0 | 40.09 | | sand | 52.36 | 69.21 | | sink | 69.17 | 76.36 | | skyscraper | 60.48 | 72.96 | | fireplace | 65.59 | 78.36 | | refrigerator | 77.81 | 87.43 | | grandstand | 45.86 | 75.88 | | path | 23.14 | 33.62 | | stairs | 41.15 | 48.57 | | runway | 75.06 | 92.44 | | case | 44.84 | 59.48 | | pool table | 88.57 | 96.26 | | pillow | 53.71 | 64.73 | | screen door | 66.29 | 72.6 | | stairway | 37.56 | 41.48 | | river | 13.43 | 59.89 | | bridge | 73.33 | 88.44 | | bookcase | 26.97 | 29.71 | | blind | 41.06 | 49.48 | | coffee table | 62.18 | 81.13 | | toilet | 84.26 | 90.34 | | flower | 32.98 | 47.15 | | book | 44.85 | 70.21 | | hill | 3.02 | 4.53 | | bench | 52.6 | 73.98 | | countertop | 58.11 | 70.03 | | stove | 71.5 | 81.49 | | palm | 47.37 | 59.79 | | kitchen island | 36.78 | 52.34 | | computer | 70.5 | 83.08 | | swivel chair | 45.12 | 56.52 | | boat | 63.02 | 86.01 | | bar | 45.74 | 52.41 | | arcade machine | 69.84 | 85.33 | | hovel | 35.03 | 82.16 | | bus | 90.68 | 95.99 | | towel | 57.33 | 78.32 | | light | 40.93 | 45.37 | | truck | 40.58 | 60.23 | | tower | 29.69 | 46.29 | | chandelier | 56.79 | 61.46 | | awning | 27.08 | 33.22 | | streetlight | 27.82 | 33.58 | | booth | 32.79 | 34.19 | | television receiver | 68.34 | 75.71 | | airplane | 57.47 | 67.32 | | dirt track | 3.76 | 20.19 | | apparel | 31.94 | 43.58 | | pole | 22.75 | 31.56 | | land | 0.91 | 1.31 | | bannister | 6.44 | 9.05 | | escalator | 24.42 | 25.27 | | ottoman | 41.56 | 67.73 | | bottle | 23.87 | 27.73 | | buffet | 43.16 | 46.92 | | poster | 29.48 | 37.17 | | stage | 10.08 | 15.4 | | van | 31.01 | 35.99 | | ship | 30.91 | 31.71 | | fountain | 27.14 | 27.57 | | conveyer belt | 64.21 | 91.65 | | canopy | 21.14 | 22.78 | | washer | 64.9 | 66.19 | | plaything | 13.86 | 14.91 | | swimming pool | 70.53 | 80.32 | | stool | 45.49 | 62.01 | | barrel | 32.5 | 64.97 | | basket | 30.41 | 42.25 | | waterfall | 60.25 | 68.4 | | tent | 93.88 | 96.1 | | bag | 17.73 | 21.14 | | minibike | 71.49 | 80.92 | | cradle | 68.48 | 88.86 | | oven | 30.15 | 39.63 | | ball | 32.87 | 35.83 | | food | 46.79 | 55.67 | | step | 9.88 | 11.24 | | tank | 41.37 | 57.92 | | trade name | 5.56 | 5.57 | | microwave | 87.24 | 94.79 | | pot | 46.07 | 52.93 | | animal | 57.4 | 60.1 | | bicycle | 50.42 | 60.36 | | lake | 0.0 | 0.0 | | dishwasher | 66.27 | 79.81 | | screen | 57.75 | 87.79 | | blanket | 7.22 | 7.84 | | sculpture | 66.22 | 73.15 | | hood | 46.89 | 52.02 | | sconce | 25.57 | 28.12 | | vase | 39.14 | 52.21 | | traffic light | 33.84 | 47.22 | | tray | 12.14 | 16.56 | | ashcan | 43.56 | 58.66 | | fan | 54.4 | 62.77 | | pier | 63.84 | 75.52 | | crt screen | 3.02 | 6.41 | | plate | 52.81 | 60.23 | | monitor | 20.41 | 25.87 | | bulletin board | 33.21 | 37.14 | | shower | 1.03 | 1.38 | | radiator | 41.98 | 43.29 | | glass | 14.49 | 15.42 | | clock | 25.22 | 30.8 | | flag | 58.41 | 64.13 | +---------------------+-------+-------+ 2023/10/27 11:15:35 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:20 time: 1.2859 data_time: 0.0285 memory: 27845 2023/10/27 11:15:57 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.4990 coco/bbox_mAP_50: 0.6780 coco/bbox_mAP_75: 0.5450 coco/bbox_mAP_s: 0.3480 coco/bbox_mAP_m: 0.5480 coco/bbox_mAP_l: 0.6520 coco/segm_mAP: 0.3220 coco/segm_mAP_50: 0.5780 coco/segm_mAP_75: 0.3200 coco/segm_mAP_s: 0.1920 coco/segm_mAP_m: 0.3680 coco/segm_mAP_l: 0.5040 Bleu_1: 0.7543 Bleu_2: 0.5843 Bleu_3: 0.4410 Bleu_4: 0.3289 METEOR: 0.2724 ROUGE_L: 0.5574 CIDEr: 1.0920 SPICE: 0.2009 aAcc: 82.7800 mIoU: 47.6800 mAcc: 58.7100 visual-grounding/miou: 0.7421 visual-grounding/acc: 0.8264 data_time: 0.0020 time: 0.2354 2023/10/27 11:19:58 - mmengine - INFO - Iter(train) [260100/480000] base_lr: 8.8014e-05 lr: 2.4300e-05 eta: 5 days, 16:48:21 time: 2.3491 data_time: 0.1274 memory: 25726 grad_norm: 1.1802 loss: 1.3285 grounding_loss_reg: 3.2022 detection_loss_cls: 0.0464 detection_loss_reg: 0.4332 caption_loss_cls: 2.3151 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7506 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:23:53 - mmengine - INFO - Iter(train) [260200/480000] base_lr: 8.7950e-05 lr: 2.4283e-05 eta: 5 days, 16:51:51 time: 2.3580 data_time: 0.1275 memory: 25726 grad_norm: 1.1756 loss: 1.3283 grounding_loss_reg: 3.2022 detection_loss_cls: 0.0464 detection_loss_reg: 0.4334 caption_loss_cls: 2.3141 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:27:50 - mmengine - INFO - Iter(train) [260300/480000] base_lr: 8.7886e-05 lr: 2.4267e-05 eta: 5 days, 16:56:57 time: 2.3671 data_time: 0.1275 memory: 25726 grad_norm: 1.1740 loss: 1.3293 grounding_loss_reg: 3.2021 detection_loss_cls: 0.0464 detection_loss_reg: 0.4334 caption_loss_cls: 2.3165 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7517 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:31:32 - mmengine - INFO - Iter(train) [260400/480000] base_lr: 8.7822e-05 lr: 2.4250e-05 eta: 5 days, 16:51:41 time: 2.3716 data_time: 0.1275 memory: 25726 grad_norm: 1.1706 loss: 1.3250 grounding_loss_reg: 3.2012 detection_loss_cls: 0.0463 detection_loss_reg: 0.4328 caption_loss_cls: 2.3170 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7512 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:35:43 - mmengine - INFO - Iter(train) [260500/480000] base_lr: 8.7757e-05 lr: 2.4233e-05 eta: 5 days, 17:05:36 time: 2.3796 data_time: 0.1279 memory: 26566 grad_norm: 1.1623 loss: 1.3218 grounding_loss_reg: 3.2010 detection_loss_cls: 0.0460 detection_loss_reg: 0.4312 caption_loss_cls: 2.3182 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7547 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:35:43 - mmengine - INFO - Saving checkpoint at 260500 iterations 2023/10/27 11:41:36 - mmengine - INFO - Iter(train) [260600/480000] base_lr: 8.7693e-05 lr: 2.4217e-05 eta: 5 days, 18:25:48 time: 2.3987 data_time: 0.1326 memory: 26566 grad_norm: 1.1615 loss: 1.3240 grounding_loss_reg: 3.2016 detection_loss_cls: 0.0460 detection_loss_reg: 0.4309 caption_loss_cls: 2.3158 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7518 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:45:15 - mmengine - INFO - Iter(train) [260700/480000] base_lr: 8.7629e-05 lr: 2.4200e-05 eta: 5 days, 18:16:28 time: 2.4023 data_time: 0.1327 memory: 26566 grad_norm: 1.1598 loss: 1.3178 grounding_loss_reg: 3.2025 detection_loss_cls: 0.0459 detection_loss_reg: 0.4310 caption_loss_cls: 2.3133 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7518 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:48:57 - mmengine - INFO - Iter(train) [260800/480000] base_lr: 8.7565e-05 lr: 2.4183e-05 eta: 5 days, 18:09:50 time: 2.4033 data_time: 0.1327 memory: 25726 grad_norm: 1.1632 loss: 1.3262 grounding_loss_reg: 3.2011 detection_loss_cls: 0.0460 detection_loss_reg: 0.4321 caption_loss_cls: 2.3165 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7504 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:53:02 - mmengine - INFO - Iter(train) [260900/480000] base_lr: 8.7501e-05 lr: 2.4167e-05 eta: 5 days, 18:16:42 time: 2.4098 data_time: 0.1328 memory: 25726 grad_norm: 1.1627 loss: 1.3278 grounding_loss_reg: 3.2032 detection_loss_cls: 0.0459 detection_loss_reg: 0.4320 caption_loss_cls: 2.3169 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7514 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:56:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 11:56:36 - mmengine - INFO - Iter(train) [261000/480000] base_lr: 8.7436e-05 lr: 2.4150e-05 eta: 5 days, 18:05:05 time: 2.4132 data_time: 0.1328 memory: 25726 grad_norm: 1.1689 loss: 1.3287 grounding_loss_reg: 3.2027 detection_loss_cls: 0.0460 detection_loss_reg: 0.4327 caption_loss_cls: 2.3161 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0113 2023/10/27 11:56:36 - mmengine - INFO - Saving checkpoint at 261000 iterations 2023/10/27 12:01:14 - mmengine - INFO - Iter(train) [261100/480000] base_lr: 8.7372e-05 lr: 2.4134e-05 eta: 5 days, 18:32:04 time: 2.4115 data_time: 0.1339 memory: 26566 grad_norm: 1.1695 loss: 1.3307 grounding_loss_reg: 3.2022 detection_loss_cls: 0.0460 detection_loss_reg: 0.4327 caption_loss_cls: 2.3172 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:05:03 - mmengine - INFO - Iter(train) [261200/480000] base_lr: 8.7308e-05 lr: 2.4117e-05 eta: 5 days, 18:28:56 time: 2.4029 data_time: 0.1338 memory: 25726 grad_norm: 1.1632 loss: 1.3298 grounding_loss_reg: 3.2017 detection_loss_cls: 0.0460 detection_loss_reg: 0.4334 caption_loss_cls: 2.3211 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:09:06 - mmengine - INFO - Iter(train) [261300/480000] base_lr: 8.7244e-05 lr: 2.4100e-05 eta: 5 days, 18:33:39 time: 2.4147 data_time: 0.1340 memory: 25726 grad_norm: 1.1596 loss: 1.3344 grounding_loss_reg: 3.1993 detection_loss_cls: 0.0462 detection_loss_reg: 0.4340 caption_loss_cls: 2.3217 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7528 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:12:40 - mmengine - INFO - Iter(train) [261400/480000] base_lr: 8.7180e-05 lr: 2.4084e-05 eta: 5 days, 18:21:41 time: 2.4186 data_time: 0.1340 memory: 25726 grad_norm: 1.1555 loss: 1.3325 grounding_loss_reg: 3.1972 detection_loss_cls: 0.0461 detection_loss_reg: 0.4336 caption_loss_cls: 2.3200 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7533 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:16:34 - mmengine - INFO - Iter(train) [261500/480000] base_lr: 8.7116e-05 lr: 2.4067e-05 eta: 5 days, 18:21:28 time: 2.4178 data_time: 0.1340 memory: 25726 grad_norm: 1.1536 loss: 1.3285 grounding_loss_reg: 3.1963 detection_loss_cls: 0.0461 detection_loss_reg: 0.4342 caption_loss_cls: 2.3227 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7534 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:16:34 - mmengine - INFO - Saving checkpoint at 261500 iterations 2023/10/27 12:21:14 - mmengine - INFO - Iter(train) [261600/480000] base_lr: 8.7051e-05 lr: 2.4050e-05 eta: 5 days, 18:46:21 time: 2.4210 data_time: 0.1349 memory: 26566 grad_norm: 1.1528 loss: 1.3339 grounding_loss_reg: 3.1948 detection_loss_cls: 0.0460 detection_loss_reg: 0.4341 caption_loss_cls: 2.3251 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7525 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:24:45 - mmengine - INFO - Iter(train) [261700/480000] base_lr: 8.6987e-05 lr: 2.4034e-05 eta: 5 days, 18:32:37 time: 2.4109 data_time: 0.1348 memory: 26566 grad_norm: 1.1559 loss: 1.3372 grounding_loss_reg: 3.1945 detection_loss_cls: 0.0460 detection_loss_reg: 0.4341 caption_loss_cls: 2.3278 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7528 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:28:32 - mmengine - INFO - Iter(train) [261800/480000] base_lr: 8.6923e-05 lr: 2.4017e-05 eta: 5 days, 18:28:00 time: 2.4088 data_time: 0.1349 memory: 26566 grad_norm: 1.1499 loss: 1.3310 grounding_loss_reg: 3.1933 detection_loss_cls: 0.0460 detection_loss_reg: 0.4345 caption_loss_cls: 2.3261 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7531 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:32:03 - mmengine - INFO - Iter(train) [261900/480000] base_lr: 8.6859e-05 lr: 2.4000e-05 eta: 5 days, 18:15:11 time: 2.4083 data_time: 0.1349 memory: 26566 grad_norm: 1.1515 loss: 1.3322 grounding_loss_reg: 3.1949 detection_loss_cls: 0.0459 detection_loss_reg: 0.4342 caption_loss_cls: 2.3238 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:35:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 12:35:17 - mmengine - INFO - Iter(train) [262000/480000] base_lr: 8.6795e-05 lr: 2.3984e-05 eta: 5 days, 17:53:43 time: 2.4030 data_time: 0.1350 memory: 26566 grad_norm: 1.1661 loss: 1.3473 grounding_loss_reg: 3.1938 detection_loss_cls: 0.0458 detection_loss_reg: 0.4335 caption_loss_cls: 2.3252 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7531 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:35:17 - mmengine - INFO - Saving checkpoint at 262000 iterations 2023/10/27 12:40:53 - mmengine - INFO - Iter(train) [262100/480000] base_lr: 8.6731e-05 lr: 2.3967e-05 eta: 5 days, 18:45:09 time: 2.4088 data_time: 0.1356 memory: 26566 grad_norm: 1.1684 loss: 1.3490 grounding_loss_reg: 3.1929 detection_loss_cls: 0.0459 detection_loss_reg: 0.4333 caption_loss_cls: 2.3258 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7534 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:44:41 - mmengine - INFO - Iter(train) [262200/480000] base_lr: 8.6667e-05 lr: 2.3951e-05 eta: 5 days, 18:40:34 time: 2.4084 data_time: 0.1356 memory: 25726 grad_norm: 1.1671 loss: 1.3413 grounding_loss_reg: 3.1930 detection_loss_cls: 0.0458 detection_loss_reg: 0.4333 caption_loss_cls: 2.3214 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7522 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:48:40 - mmengine - INFO - Iter(train) [262300/480000] base_lr: 8.6603e-05 lr: 2.3934e-05 eta: 5 days, 18:41:42 time: 2.4077 data_time: 0.1356 memory: 26566 grad_norm: 1.1649 loss: 1.3398 grounding_loss_reg: 3.1933 detection_loss_cls: 0.0458 detection_loss_reg: 0.4330 caption_loss_cls: 2.3204 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7525 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:52:29 - mmengine - INFO - Iter(train) [262400/480000] base_lr: 8.6538e-05 lr: 2.3917e-05 eta: 5 days, 18:37:38 time: 2.4153 data_time: 0.1357 memory: 25726 grad_norm: 1.1664 loss: 1.3395 grounding_loss_reg: 3.1915 detection_loss_cls: 0.0459 detection_loss_reg: 0.4338 caption_loss_cls: 2.3193 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0113 2023/10/27 12:56:24 - mmengine - INFO - Iter(train) [262500/480000] base_lr: 8.6474e-05 lr: 2.3901e-05 eta: 5 days, 18:36:19 time: 2.4153 data_time: 0.1358 memory: 26566 grad_norm: 1.1669 loss: 1.3432 grounding_loss_reg: 3.1899 detection_loss_cls: 0.0459 detection_loss_reg: 0.4333 caption_loss_cls: 2.3216 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7535 semantic_segmentation_loss_cls: 0.0112 2023/10/27 12:56:24 - mmengine - INFO - Saving checkpoint at 262500 iterations 2023/10/27 13:00:43 - mmengine - INFO - Iter(train) [262600/480000] base_lr: 8.6410e-05 lr: 2.3884e-05 eta: 5 days, 18:46:39 time: 2.4097 data_time: 0.1361 memory: 25726 grad_norm: 1.1650 loss: 1.3469 grounding_loss_reg: 3.1906 detection_loss_cls: 0.0459 detection_loss_reg: 0.4335 caption_loss_cls: 2.3256 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7538 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:04:26 - mmengine - INFO - Iter(train) [262700/480000] base_lr: 8.6346e-05 lr: 2.3868e-05 eta: 5 days, 18:39:28 time: 2.4043 data_time: 0.1361 memory: 26566 grad_norm: 1.1795 loss: 1.3613 grounding_loss_reg: 3.1891 detection_loss_cls: 0.0458 detection_loss_reg: 0.4330 caption_loss_cls: 2.3234 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7552 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:08:03 - mmengine - INFO - Iter(train) [262800/480000] base_lr: 8.6282e-05 lr: 2.3851e-05 eta: 5 days, 18:30:10 time: 2.3991 data_time: 0.1361 memory: 26566 grad_norm: 1.1845 loss: 1.3630 grounding_loss_reg: 3.1867 detection_loss_cls: 0.0458 detection_loss_reg: 0.4328 caption_loss_cls: 2.3240 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7553 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:11:51 - mmengine - INFO - Iter(train) [262900/480000] base_lr: 8.6218e-05 lr: 2.3834e-05 eta: 5 days, 18:25:14 time: 2.3996 data_time: 0.1360 memory: 26566 grad_norm: 1.1851 loss: 1.3614 grounding_loss_reg: 3.1841 detection_loss_cls: 0.0459 detection_loss_reg: 0.4333 caption_loss_cls: 2.3208 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7563 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:15:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 13:15:23 - mmengine - INFO - Iter(train) [263000/480000] base_lr: 8.6154e-05 lr: 2.3818e-05 eta: 5 days, 18:13:43 time: 2.3898 data_time: 0.1360 memory: 26566 grad_norm: 1.1846 loss: 1.3661 grounding_loss_reg: 3.1848 detection_loss_cls: 0.0459 detection_loss_reg: 0.4338 caption_loss_cls: 2.3194 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7562 semantic_segmentation_loss_cls: 0.0113 2023/10/27 13:15:23 - mmengine - INFO - Saving checkpoint at 263000 iterations 2023/10/27 13:20:47 - mmengine - INFO - Iter(train) [263100/480000] base_lr: 8.6090e-05 lr: 2.3801e-05 eta: 5 days, 18:51:49 time: 2.4017 data_time: 0.1371 memory: 26566 grad_norm: 1.1841 loss: 1.3641 grounding_loss_reg: 3.1848 detection_loss_cls: 0.0454 detection_loss_reg: 0.4320 caption_loss_cls: 2.3199 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7594 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:24:19 - mmengine - INFO - Iter(train) [263200/480000] base_lr: 8.6026e-05 lr: 2.3784e-05 eta: 5 days, 18:39:58 time: 2.3970 data_time: 0.1371 memory: 25726 grad_norm: 1.1841 loss: 1.3642 grounding_loss_reg: 3.1845 detection_loss_cls: 0.0454 detection_loss_reg: 0.4323 caption_loss_cls: 2.3176 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7588 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:28:04 - mmengine - INFO - Iter(train) [263300/480000] base_lr: 8.5962e-05 lr: 2.3768e-05 eta: 5 days, 18:33:58 time: 2.3977 data_time: 0.1371 memory: 26566 grad_norm: 1.1841 loss: 1.3632 grounding_loss_reg: 3.1816 detection_loss_cls: 0.0454 detection_loss_reg: 0.4326 caption_loss_cls: 2.3190 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7592 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:31:42 - mmengine - INFO - Iter(train) [263400/480000] base_lr: 8.5898e-05 lr: 2.3751e-05 eta: 5 days, 18:24:49 time: 2.3982 data_time: 0.1372 memory: 25726 grad_norm: 1.1807 loss: 1.3547 grounding_loss_reg: 3.1793 detection_loss_cls: 0.0455 detection_loss_reg: 0.4335 caption_loss_cls: 2.3153 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7582 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:35:09 - mmengine - INFO - Iter(train) [263500/480000] base_lr: 8.5834e-05 lr: 2.3735e-05 eta: 5 days, 18:11:10 time: 2.3968 data_time: 0.1372 memory: 25726 grad_norm: 1.1785 loss: 1.3528 grounding_loss_reg: 3.1785 detection_loss_cls: 0.0455 detection_loss_reg: 0.4338 caption_loss_cls: 2.3162 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:35:09 - mmengine - INFO - Saving checkpoint at 263500 iterations 2023/10/27 13:39:58 - mmengine - INFO - Iter(train) [263600/480000] base_lr: 8.5770e-05 lr: 2.3718e-05 eta: 5 days, 18:32:00 time: 2.3901 data_time: 0.1381 memory: 25726 grad_norm: 1.1760 loss: 1.3549 grounding_loss_reg: 3.1760 detection_loss_cls: 0.0455 detection_loss_reg: 0.4329 caption_loss_cls: 2.3141 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7601 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:43:26 - mmengine - INFO - Iter(train) [263700/480000] base_lr: 8.5706e-05 lr: 2.3701e-05 eta: 5 days, 18:19:04 time: 2.3872 data_time: 0.1382 memory: 26566 grad_norm: 1.1841 loss: 1.3574 grounding_loss_reg: 3.1768 detection_loss_cls: 0.0456 detection_loss_reg: 0.4335 caption_loss_cls: 2.3160 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7604 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:47:02 - mmengine - INFO - Iter(train) [263800/480000] base_lr: 8.5642e-05 lr: 2.3685e-05 eta: 5 days, 18:09:11 time: 2.3782 data_time: 0.1381 memory: 26566 grad_norm: 1.1904 loss: 1.3601 grounding_loss_reg: 3.1769 detection_loss_cls: 0.0455 detection_loss_reg: 0.4333 caption_loss_cls: 2.3163 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7597 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:50:53 - mmengine - INFO - Iter(train) [263900/480000] base_lr: 8.5578e-05 lr: 2.3668e-05 eta: 5 days, 18:05:42 time: 2.3793 data_time: 0.1382 memory: 25726 grad_norm: 1.1863 loss: 1.3553 grounding_loss_reg: 3.1755 detection_loss_cls: 0.0455 detection_loss_reg: 0.4326 caption_loss_cls: 2.3174 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7591 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:54:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 13:54:40 - mmengine - INFO - Iter(train) [264000/480000] base_lr: 8.5514e-05 lr: 2.3652e-05 eta: 5 days, 18:00:47 time: 2.3816 data_time: 0.1382 memory: 25726 grad_norm: 1.1714 loss: 1.3453 grounding_loss_reg: 3.1749 detection_loss_cls: 0.0453 detection_loss_reg: 0.4327 caption_loss_cls: 2.3198 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7596 semantic_segmentation_loss_cls: 0.0112 2023/10/27 13:54:40 - mmengine - INFO - Saving checkpoint at 264000 iterations 2023/10/27 13:59:45 - mmengine - INFO - Iter(train) [264100/480000] base_lr: 8.5450e-05 lr: 2.3635e-05 eta: 5 days, 18:26:32 time: 2.3961 data_time: 0.1535 memory: 26566 grad_norm: 1.1737 loss: 1.3475 grounding_loss_reg: 3.1754 detection_loss_cls: 0.0454 detection_loss_reg: 0.4330 caption_loss_cls: 2.3181 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7595 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:03:18 - mmengine - INFO - Iter(train) [264200/480000] base_lr: 8.5386e-05 lr: 2.3619e-05 eta: 5 days, 18:15:49 time: 2.3909 data_time: 0.1534 memory: 26566 grad_norm: 1.1752 loss: 1.3488 grounding_loss_reg: 3.1754 detection_loss_cls: 0.0454 detection_loss_reg: 0.4330 caption_loss_cls: 2.3179 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:07:05 - mmengine - INFO - Iter(train) [264300/480000] base_lr: 8.5322e-05 lr: 2.3602e-05 eta: 5 days, 18:10:20 time: 2.3883 data_time: 0.1534 memory: 25726 grad_norm: 1.1847 loss: 1.3560 grounding_loss_reg: 3.1762 detection_loss_cls: 0.0452 detection_loss_reg: 0.4319 caption_loss_cls: 2.3233 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7591 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:13:34 - mmengine - INFO - Iter(train) [264400/480000] base_lr: 8.5258e-05 lr: 2.3585e-05 eta: 5 days, 19:07:02 time: 2.4300 data_time: 0.1559 memory: 25726 grad_norm: 1.1828 loss: 1.3498 grounding_loss_reg: 3.1761 detection_loss_cls: 0.0452 detection_loss_reg: 0.4323 caption_loss_cls: 2.3206 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7589 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:17:13 - mmengine - INFO - Iter(train) [264500/480000] base_lr: 8.5194e-05 lr: 2.3569e-05 eta: 5 days, 18:58:18 time: 2.4221 data_time: 0.1555 memory: 26566 grad_norm: 1.1875 loss: 1.3471 grounding_loss_reg: 3.1767 detection_loss_cls: 0.0452 detection_loss_reg: 0.4330 caption_loss_cls: 2.3188 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7586 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:17:13 - mmengine - INFO - Saving checkpoint at 264500 iterations 2023/10/27 14:22:22 - mmengine - INFO - Iter(train) [264600/480000] base_lr: 8.5130e-05 lr: 2.3552e-05 eta: 5 days, 19:22:48 time: 2.4108 data_time: 0.1518 memory: 26566 grad_norm: 1.1886 loss: 1.3486 grounding_loss_reg: 3.1765 detection_loss_cls: 0.0450 detection_loss_reg: 0.4316 caption_loss_cls: 2.3202 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7604 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:26:17 - mmengine - INFO - Iter(train) [264700/480000] base_lr: 8.5066e-05 lr: 2.3536e-05 eta: 5 days, 19:19:59 time: 2.4151 data_time: 0.1518 memory: 25726 grad_norm: 1.1888 loss: 1.3531 grounding_loss_reg: 3.1781 detection_loss_cls: 0.0450 detection_loss_reg: 0.4306 caption_loss_cls: 2.3231 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7589 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:30:40 - mmengine - INFO - Iter(train) [264800/480000] base_lr: 8.5002e-05 lr: 2.3519e-05 eta: 5 days, 19:26:49 time: 2.4250 data_time: 0.1519 memory: 26566 grad_norm: 1.1865 loss: 1.3469 grounding_loss_reg: 3.1786 detection_loss_cls: 0.0451 detection_loss_reg: 0.4312 caption_loss_cls: 2.3280 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7593 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:34:23 - mmengine - INFO - Iter(train) [264900/480000] base_lr: 8.4938e-05 lr: 2.3502e-05 eta: 5 days, 19:19:27 time: 2.4199 data_time: 0.1518 memory: 25726 grad_norm: 1.1881 loss: 1.3430 grounding_loss_reg: 3.1778 detection_loss_cls: 0.0450 detection_loss_reg: 0.4305 caption_loss_cls: 2.3272 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7586 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:38:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 14:38:10 - mmengine - INFO - Iter(train) [265000/480000] base_lr: 8.4874e-05 lr: 2.3486e-05 eta: 5 days, 19:13:12 time: 2.4230 data_time: 0.1518 memory: 26566 grad_norm: 1.1878 loss: 1.3431 grounding_loss_reg: 3.1752 detection_loss_cls: 0.0451 detection_loss_reg: 0.4302 caption_loss_cls: 2.3255 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7573 semantic_segmentation_loss_cls: 0.0111 2023/10/27 14:38:10 - mmengine - INFO - Saving checkpoint at 265000 iterations 2023/10/27 14:43:30 - mmengine - INFO - Iter(train) [265100/480000] base_lr: 8.4810e-05 lr: 2.3469e-05 eta: 5 days, 19:39:59 time: 2.4333 data_time: 0.1524 memory: 26566 grad_norm: 1.1861 loss: 1.3449 grounding_loss_reg: 3.1762 detection_loss_cls: 0.0452 detection_loss_reg: 0.4306 caption_loss_cls: 2.3291 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7579 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:47:49 - mmengine - INFO - Iter(train) [265200/480000] base_lr: 8.4746e-05 lr: 2.3453e-05 eta: 5 days, 19:45:02 time: 2.4409 data_time: 0.1524 memory: 26566 grad_norm: 1.1855 loss: 1.3398 grounding_loss_reg: 3.1773 detection_loss_cls: 0.0454 detection_loss_reg: 0.4314 caption_loss_cls: 2.3255 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:51:33 - mmengine - INFO - Iter(train) [265300/480000] base_lr: 8.4682e-05 lr: 2.3436e-05 eta: 5 days, 19:37:23 time: 2.4361 data_time: 0.1523 memory: 26566 grad_norm: 1.1831 loss: 1.3326 grounding_loss_reg: 3.1770 detection_loss_cls: 0.0454 detection_loss_reg: 0.4325 caption_loss_cls: 2.3278 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7566 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:54:45 - mmengine - INFO - Iter(train) [265400/480000] base_lr: 8.4618e-05 lr: 2.3420e-05 eta: 5 days, 19:18:54 time: 2.4306 data_time: 0.1523 memory: 26566 grad_norm: 1.1945 loss: 1.3430 grounding_loss_reg: 3.1741 detection_loss_cls: 0.0453 detection_loss_reg: 0.4319 caption_loss_cls: 2.3289 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7571 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:58:36 - mmengine - INFO - Iter(train) [265500/480000] base_lr: 8.4554e-05 lr: 2.3403e-05 eta: 5 days, 19:14:19 time: 2.4300 data_time: 0.1523 memory: 25726 grad_norm: 1.1956 loss: 1.3413 grounding_loss_reg: 3.1730 detection_loss_cls: 0.0452 detection_loss_reg: 0.4307 caption_loss_cls: 2.3268 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7559 semantic_segmentation_loss_cls: 0.0112 2023/10/27 14:58:36 - mmengine - INFO - Saving checkpoint at 265500 iterations 2023/10/27 15:03:12 - mmengine - INFO - Iter(train) [265600/480000] base_lr: 8.4491e-05 lr: 2.3386e-05 eta: 5 days, 19:24:44 time: 2.4290 data_time: 0.1530 memory: 25726 grad_norm: 1.1985 loss: 1.3419 grounding_loss_reg: 3.1738 detection_loss_cls: 0.0452 detection_loss_reg: 0.4305 caption_loss_cls: 2.3294 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7559 semantic_segmentation_loss_cls: 0.0112 2023/10/27 15:06:44 - mmengine - INFO - Iter(train) [265700/480000] base_lr: 8.4427e-05 lr: 2.3370e-05 eta: 5 days, 19:13:24 time: 2.4294 data_time: 0.1530 memory: 26566 grad_norm: 1.1990 loss: 1.3432 grounding_loss_reg: 3.1724 detection_loss_cls: 0.0451 detection_loss_reg: 0.4308 caption_loss_cls: 2.3320 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7560 semantic_segmentation_loss_cls: 0.0112 2023/10/27 15:10:16 - mmengine - INFO - Iter(train) [265800/480000] base_lr: 8.4363e-05 lr: 2.3353e-05 eta: 5 days, 19:02:02 time: 2.4254 data_time: 0.1529 memory: 26566 grad_norm: 1.2056 loss: 1.3505 grounding_loss_reg: 3.1715 detection_loss_cls: 0.0450 detection_loss_reg: 0.4306 caption_loss_cls: 2.3314 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7561 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:14:04 - mmengine - INFO - Iter(train) [265900/480000] base_lr: 8.4299e-05 lr: 2.3337e-05 eta: 5 days, 18:56:17 time: 2.4296 data_time: 0.1529 memory: 25726 grad_norm: 1.2012 loss: 1.3490 grounding_loss_reg: 3.1716 detection_loss_cls: 0.0450 detection_loss_reg: 0.4303 caption_loss_cls: 2.3333 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7556 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:17:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 15:17:33 - mmengine - INFO - Iter(train) [266000/480000] base_lr: 8.4235e-05 lr: 2.3320e-05 eta: 5 days, 18:44:30 time: 2.4334 data_time: 0.1529 memory: 26566 grad_norm: 1.1916 loss: 1.3403 grounding_loss_reg: 3.1714 detection_loss_cls: 0.0449 detection_loss_reg: 0.4299 caption_loss_cls: 2.3337 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7543 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:17:33 - mmengine - INFO - Saving checkpoint at 266000 iterations 2023/10/27 15:22:17 - mmengine - INFO - Iter(train) [266100/480000] base_lr: 8.4171e-05 lr: 2.3304e-05 eta: 5 days, 18:56:50 time: 2.4204 data_time: 0.1528 memory: 25726 grad_norm: 1.1867 loss: 1.3377 grounding_loss_reg: 3.1707 detection_loss_cls: 0.0448 detection_loss_reg: 0.4293 caption_loss_cls: 2.3327 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7544 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:26:01 - mmengine - INFO - Iter(train) [266200/480000] base_lr: 8.4107e-05 lr: 2.3287e-05 eta: 5 days, 18:49:53 time: 2.4196 data_time: 0.1529 memory: 26566 grad_norm: 1.1877 loss: 1.3432 grounding_loss_reg: 3.1721 detection_loss_cls: 0.0448 detection_loss_reg: 0.4286 caption_loss_cls: 2.3308 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7540 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:29:34 - mmengine - INFO - Iter(train) [266300/480000] base_lr: 8.4043e-05 lr: 2.3271e-05 eta: 5 days, 18:39:13 time: 2.4128 data_time: 0.1528 memory: 25726 grad_norm: 1.1899 loss: 1.3453 grounding_loss_reg: 3.1730 detection_loss_cls: 0.0448 detection_loss_reg: 0.4286 caption_loss_cls: 2.3311 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7547 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:33:13 - mmengine - INFO - Iter(train) [266400/480000] base_lr: 8.3980e-05 lr: 2.3254e-05 eta: 5 days, 18:30:49 time: 2.4104 data_time: 0.1528 memory: 25726 grad_norm: 1.1877 loss: 1.3412 grounding_loss_reg: 3.1718 detection_loss_cls: 0.0446 detection_loss_reg: 0.4278 caption_loss_cls: 2.3319 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7539 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:37:11 - mmengine - INFO - Iter(train) [266500/480000] base_lr: 8.3916e-05 lr: 2.3237e-05 eta: 5 days, 18:28:20 time: 2.4113 data_time: 0.1528 memory: 25726 grad_norm: 1.1805 loss: 1.3305 grounding_loss_reg: 3.1706 detection_loss_cls: 0.0448 detection_loss_reg: 0.4283 caption_loss_cls: 2.3339 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7555 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:37:11 - mmengine - INFO - Saving checkpoint at 266500 iterations 2023/10/27 15:43:18 - mmengine - INFO - Iter(train) [266600/480000] base_lr: 8.3852e-05 lr: 2.3221e-05 eta: 5 days, 19:05:22 time: 2.4382 data_time: 0.1542 memory: 26566 grad_norm: 1.1845 loss: 1.3272 grounding_loss_reg: 3.1679 detection_loss_cls: 0.0447 detection_loss_reg: 0.4284 caption_loss_cls: 2.3333 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7544 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:47:07 - mmengine - INFO - Iter(train) [266700/480000] base_lr: 8.3788e-05 lr: 2.3204e-05 eta: 5 days, 18:59:41 time: 2.4398 data_time: 0.1541 memory: 26566 grad_norm: 1.1792 loss: 1.3218 grounding_loss_reg: 3.1668 detection_loss_cls: 0.0448 detection_loss_reg: 0.4286 caption_loss_cls: 2.3352 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7538 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:51:17 - mmengine - INFO - Iter(train) [266800/480000] base_lr: 8.3724e-05 lr: 2.3188e-05 eta: 5 days, 19:00:19 time: 2.4477 data_time: 0.1541 memory: 26566 grad_norm: 1.1700 loss: 1.3126 grounding_loss_reg: 3.1662 detection_loss_cls: 0.0446 detection_loss_reg: 0.4272 caption_loss_cls: 2.3326 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:54:55 - mmengine - INFO - Iter(train) [266900/480000] base_lr: 8.3661e-05 lr: 2.3171e-05 eta: 5 days, 18:51:40 time: 2.4456 data_time: 0.1540 memory: 25726 grad_norm: 1.1658 loss: 1.3105 grounding_loss_reg: 3.1666 detection_loss_cls: 0.0446 detection_loss_reg: 0.4271 caption_loss_cls: 2.3319 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:58:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 15:58:19 - mmengine - INFO - Iter(train) [267000/480000] base_lr: 8.3597e-05 lr: 2.3155e-05 eta: 5 days, 18:38:39 time: 2.4435 data_time: 0.1540 memory: 26566 grad_norm: 1.1732 loss: 1.3110 grounding_loss_reg: 3.1655 detection_loss_cls: 0.0446 detection_loss_reg: 0.4271 caption_loss_cls: 2.3306 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0111 2023/10/27 15:58:19 - mmengine - INFO - Saving checkpoint at 267000 iterations 2023/10/27 16:03:16 - mmengine - INFO - Iter(train) [267100/480000] base_lr: 8.3533e-05 lr: 2.3138e-05 eta: 5 days, 18:53:11 time: 2.4369 data_time: 0.1534 memory: 26566 grad_norm: 1.1703 loss: 1.3052 grounding_loss_reg: 3.1647 detection_loss_cls: 0.0446 detection_loss_reg: 0.4270 caption_loss_cls: 2.3292 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7501 semantic_segmentation_loss_cls: 0.0111 2023/10/27 16:06:47 - mmengine - INFO - Iter(train) [267200/480000] base_lr: 8.3469e-05 lr: 2.3122e-05 eta: 5 days, 18:42:11 time: 2.4365 data_time: 0.1533 memory: 25726 grad_norm: 1.1744 loss: 1.3081 grounding_loss_reg: 3.1621 detection_loss_cls: 0.0445 detection_loss_reg: 0.4265 caption_loss_cls: 2.3320 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7495 semantic_segmentation_loss_cls: 0.0111 2023/10/27 16:10:46 - mmengine - INFO - Iter(train) [267300/480000] base_lr: 8.3405e-05 lr: 2.3105e-05 eta: 5 days, 18:39:34 time: 2.4400 data_time: 0.1534 memory: 26566 grad_norm: 1.1756 loss: 1.3162 grounding_loss_reg: 3.1598 detection_loss_cls: 0.0445 detection_loss_reg: 0.4262 caption_loss_cls: 2.3354 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7514 semantic_segmentation_loss_cls: 0.0111 2023/10/27 16:14:44 - mmengine - INFO - Iter(train) [267400/480000] base_lr: 8.3342e-05 lr: 2.3089e-05 eta: 5 days, 18:36:29 time: 2.4449 data_time: 0.1534 memory: 25726 grad_norm: 1.1767 loss: 1.3211 grounding_loss_reg: 3.1590 detection_loss_cls: 0.0445 detection_loss_reg: 0.4258 caption_loss_cls: 2.3365 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7522 semantic_segmentation_loss_cls: 0.0111 2023/10/27 16:18:25 - mmengine - INFO - Iter(train) [267500/480000] base_lr: 8.3278e-05 lr: 2.3072e-05 eta: 5 days, 18:28:42 time: 2.4484 data_time: 0.1534 memory: 25726 grad_norm: 1.1746 loss: 1.3239 grounding_loss_reg: 3.1590 detection_loss_cls: 0.0444 detection_loss_reg: 0.4254 caption_loss_cls: 2.3381 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7520 semantic_segmentation_loss_cls: 0.0111 2023/10/27 16:18:25 - mmengine - INFO - Saving checkpoint at 267500 iterations 2023/10/27 16:23:15 - mmengine - INFO - Iter(train) [267600/480000] base_lr: 8.3214e-05 lr: 2.3056e-05 eta: 5 days, 18:40:26 time: 2.4488 data_time: 0.1525 memory: 25726 grad_norm: 1.1839 loss: 1.3302 grounding_loss_reg: 3.1588 detection_loss_cls: 0.0444 detection_loss_reg: 0.4257 caption_loss_cls: 2.3369 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7557 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:26:48 - mmengine - INFO - Iter(train) [267700/480000] base_lr: 8.3150e-05 lr: 2.3039e-05 eta: 5 days, 18:30:12 time: 2.4498 data_time: 0.1525 memory: 26566 grad_norm: 1.1844 loss: 1.3250 grounding_loss_reg: 3.1629 detection_loss_cls: 0.0444 detection_loss_reg: 0.4257 caption_loss_cls: 2.3378 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7555 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:31:05 - mmengine - INFO - Iter(train) [267800/480000] base_lr: 8.3087e-05 lr: 2.3022e-05 eta: 5 days, 18:32:26 time: 2.4602 data_time: 0.1525 memory: 26566 grad_norm: 1.1720 loss: 1.3169 grounding_loss_reg: 3.1642 detection_loss_cls: 0.0444 detection_loss_reg: 0.4255 caption_loss_cls: 2.3388 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7549 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:35:02 - mmengine - INFO - Iter(train) [267900/480000] base_lr: 8.3023e-05 lr: 2.3006e-05 eta: 5 days, 18:29:01 time: 2.4617 data_time: 0.1525 memory: 26566 grad_norm: 1.1670 loss: 1.3154 grounding_loss_reg: 3.1654 detection_loss_cls: 0.0444 detection_loss_reg: 0.4258 caption_loss_cls: 2.3383 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7559 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:38:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 16:38:20 - mmengine - INFO - Iter(train) [268000/480000] base_lr: 8.2959e-05 lr: 2.2989e-05 eta: 5 days, 18:15:12 time: 2.4545 data_time: 0.1525 memory: 26566 grad_norm: 1.1753 loss: 1.3176 grounding_loss_reg: 3.1637 detection_loss_cls: 0.0444 detection_loss_reg: 0.4251 caption_loss_cls: 2.3387 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7566 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:38:20 - mmengine - INFO - Saving checkpoint at 268000 iterations 2023/10/27 16:43:58 - mmengine - INFO - Iter(train) [268100/480000] base_lr: 8.2896e-05 lr: 2.2973e-05 eta: 5 days, 18:39:06 time: 2.4628 data_time: 0.1524 memory: 26566 grad_norm: 1.1786 loss: 1.3207 grounding_loss_reg: 3.1626 detection_loss_cls: 0.0443 detection_loss_reg: 0.4250 caption_loss_cls: 2.3409 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7560 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:47:36 - mmengine - INFO - Iter(train) [268200/480000] base_lr: 8.2832e-05 lr: 2.2956e-05 eta: 5 days, 18:30:28 time: 2.4640 data_time: 0.1524 memory: 25726 grad_norm: 1.1838 loss: 1.3239 grounding_loss_reg: 3.1623 detection_loss_cls: 0.0441 detection_loss_reg: 0.4243 caption_loss_cls: 2.3396 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7559 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:50:56 - mmengine - INFO - Iter(train) [268300/480000] base_lr: 8.2768e-05 lr: 2.2940e-05 eta: 5 days, 18:17:08 time: 2.4574 data_time: 0.1523 memory: 26566 grad_norm: 1.1822 loss: 1.3278 grounding_loss_reg: 3.1640 detection_loss_cls: 0.0441 detection_loss_reg: 0.4241 caption_loss_cls: 2.3342 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7554 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:55:00 - mmengine - INFO - Iter(train) [268400/480000] base_lr: 8.2705e-05 lr: 2.2923e-05 eta: 5 days, 18:15:27 time: 2.4210 data_time: 0.1499 memory: 26566 grad_norm: 1.1787 loss: 1.3295 grounding_loss_reg: 3.1654 detection_loss_cls: 0.0441 detection_loss_reg: 0.4235 caption_loss_cls: 2.3363 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7560 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:58:39 - mmengine - INFO - Iter(train) [268500/480000] base_lr: 8.2641e-05 lr: 2.2907e-05 eta: 5 days, 18:07:20 time: 2.4210 data_time: 0.1499 memory: 26566 grad_norm: 1.1800 loss: 1.3337 grounding_loss_reg: 3.1665 detection_loss_cls: 0.0441 detection_loss_reg: 0.4238 caption_loss_cls: 2.3351 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7577 semantic_segmentation_loss_cls: 0.0112 2023/10/27 16:58:39 - mmengine - INFO - Saving checkpoint at 268500 iterations 2023/10/27 17:03:23 - mmengine - INFO - Iter(train) [268600/480000] base_lr: 8.2577e-05 lr: 2.2890e-05 eta: 5 days, 18:15:58 time: 2.4148 data_time: 0.1495 memory: 25726 grad_norm: 1.1803 loss: 1.3298 grounding_loss_reg: 3.1651 detection_loss_cls: 0.0440 detection_loss_reg: 0.4225 caption_loss_cls: 2.3351 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7572 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:07:01 - mmengine - INFO - Iter(train) [268700/480000] base_lr: 8.2514e-05 lr: 2.2874e-05 eta: 5 days, 18:07:35 time: 2.4104 data_time: 0.1495 memory: 26566 grad_norm: 1.1817 loss: 1.3267 grounding_loss_reg: 3.1656 detection_loss_cls: 0.0439 detection_loss_reg: 0.4221 caption_loss_cls: 2.3354 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7574 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:13:03 - mmengine - INFO - Iter(train) [268800/480000] base_lr: 8.2450e-05 lr: 2.2857e-05 eta: 5 days, 18:35:59 time: 2.4353 data_time: 0.1499 memory: 25726 grad_norm: 1.1792 loss: 1.3260 grounding_loss_reg: 3.1652 detection_loss_cls: 0.0441 detection_loss_reg: 0.4231 caption_loss_cls: 2.3355 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7597 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:17:24 - mmengine - INFO - Iter(train) [268900/480000] base_lr: 8.2386e-05 lr: 2.2841e-05 eta: 5 days, 18:38:21 time: 2.4447 data_time: 0.1503 memory: 25726 grad_norm: 1.1789 loss: 1.3309 grounding_loss_reg: 3.1641 detection_loss_cls: 0.0441 detection_loss_reg: 0.4225 caption_loss_cls: 2.3381 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7601 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:21:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 17:21:14 - mmengine - INFO - Iter(train) [269000/480000] base_lr: 8.2323e-05 lr: 2.2824e-05 eta: 5 days, 18:32:44 time: 2.4455 data_time: 0.1503 memory: 26566 grad_norm: 1.1725 loss: 1.3321 grounding_loss_reg: 3.1643 detection_loss_cls: 0.0449 detection_loss_reg: 0.4253 caption_loss_cls: 2.3409 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7587 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:21:14 - mmengine - INFO - Saving checkpoint at 269000 iterations 2023/10/27 17:26:19 - mmengine - INFO - Iter(train) [269100/480000] base_lr: 8.2259e-05 lr: 2.2808e-05 eta: 5 days, 18:45:53 time: 2.4418 data_time: 0.1494 memory: 26566 grad_norm: 1.1745 loss: 1.3290 grounding_loss_reg: 3.1649 detection_loss_cls: 0.0448 detection_loss_reg: 0.4247 caption_loss_cls: 2.3449 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7577 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:30:17 - mmengine - INFO - Iter(train) [269200/480000] base_lr: 8.2195e-05 lr: 2.2791e-05 eta: 5 days, 18:42:11 time: 2.4365 data_time: 0.1495 memory: 25726 grad_norm: 1.1747 loss: 1.3343 grounding_loss_reg: 3.1643 detection_loss_cls: 0.0448 detection_loss_reg: 0.4248 caption_loss_cls: 2.3451 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7590 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:34:05 - mmengine - INFO - Iter(train) [269300/480000] base_lr: 8.2132e-05 lr: 2.2775e-05 eta: 5 days, 18:36:01 time: 2.4376 data_time: 0.1495 memory: 25726 grad_norm: 1.1785 loss: 1.3415 grounding_loss_reg: 3.1642 detection_loss_cls: 0.0447 detection_loss_reg: 0.4248 caption_loss_cls: 2.3447 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7587 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:37:53 - mmengine - INFO - Iter(train) [269400/480000] base_lr: 8.2068e-05 lr: 2.2758e-05 eta: 5 days, 18:29:50 time: 2.4465 data_time: 0.1495 memory: 25726 grad_norm: 1.1666 loss: 1.3306 grounding_loss_reg: 3.1643 detection_loss_cls: 0.0447 detection_loss_reg: 0.4245 caption_loss_cls: 2.3470 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7571 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:41:50 - mmengine - INFO - Iter(train) [269500/480000] base_lr: 8.2005e-05 lr: 2.2742e-05 eta: 5 days, 18:26:06 time: 2.4480 data_time: 0.1495 memory: 26566 grad_norm: 1.1645 loss: 1.3330 grounding_loss_reg: 3.1630 detection_loss_cls: 0.0444 detection_loss_reg: 0.4238 caption_loss_cls: 2.3464 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0112 2023/10/27 17:41:50 - mmengine - INFO - Saving checkpoint at 269500 iterations 2023/10/27 17:46:53 - mmengine - INFO - Iter(train) [269600/480000] base_lr: 8.1941e-05 lr: 2.2725e-05 eta: 5 days, 18:38:03 time: 2.4547 data_time: 0.1485 memory: 25726 grad_norm: 1.1553 loss: 1.3292 grounding_loss_reg: 3.1613 detection_loss_cls: 0.0446 detection_loss_reg: 0.4248 caption_loss_cls: 2.3505 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7578 semantic_segmentation_loss_cls: 0.0111 2023/10/27 17:50:39 - mmengine - INFO - Iter(train) [269700/480000] base_lr: 8.1877e-05 lr: 2.2709e-05 eta: 5 days, 18:31:14 time: 2.4581 data_time: 0.1485 memory: 25726 grad_norm: 1.1585 loss: 1.3293 grounding_loss_reg: 3.1609 detection_loss_cls: 0.0444 detection_loss_reg: 0.4233 caption_loss_cls: 2.3528 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7585 semantic_segmentation_loss_cls: 0.0111 2023/10/27 17:54:23 - mmengine - INFO - Iter(train) [269800/480000] base_lr: 8.1814e-05 lr: 2.2692e-05 eta: 5 days, 18:24:10 time: 2.4612 data_time: 0.1485 memory: 26566 grad_norm: 1.1560 loss: 1.3216 grounding_loss_reg: 3.1594 detection_loss_cls: 0.0442 detection_loss_reg: 0.4222 caption_loss_cls: 2.3528 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7585 semantic_segmentation_loss_cls: 0.0111 2023/10/27 17:58:28 - mmengine - INFO - Iter(train) [269900/480000] base_lr: 8.1750e-05 lr: 2.2676e-05 eta: 5 days, 18:22:06 time: 2.4655 data_time: 0.1485 memory: 26566 grad_norm: 1.1577 loss: 1.3193 grounding_loss_reg: 3.1576 detection_loss_cls: 0.0443 detection_loss_reg: 0.4233 caption_loss_cls: 2.3534 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7583 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:02:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 18:02:11 - mmengine - INFO - Iter(train) [270000/480000] base_lr: 8.1687e-05 lr: 2.2660e-05 eta: 5 days, 18:14:55 time: 2.4690 data_time: 0.1485 memory: 26566 grad_norm: 1.1598 loss: 1.3150 grounding_loss_reg: 3.1569 detection_loss_cls: 0.0443 detection_loss_reg: 0.4227 caption_loss_cls: 2.3526 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7567 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:02:11 - mmengine - INFO - Saving checkpoint at 270000 iterations 2023/10/27 18:08:24 - mmengine - INFO - Evaluating bbox... 2023/10/27 18:09:27 - mmengine - INFO - bbox_mAP_copypaste: 0.507 0.687 0.555 0.346 0.555 0.650 2023/10/27 18:09:27 - mmengine - INFO - Evaluating segm... 2023/10/27 18:10:41 - mmengine - INFO - segm_mAP_copypaste: 0.326 0.582 0.325 0.185 0.371 0.503 2023/10/27 18:12:07 - mmengine - INFO - Evaluating bbox... 2023/10/27 18:13:11 - mmengine - INFO - bbox_mAP_copypaste: 0.507 0.688 0.555 0.347 0.555 0.653 2023/10/27 18:15:59 - mmengine - INFO - per class results: 2023/10/27 18:15:59 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.33 | 89.3 | | building | 81.26 | 88.84 | | sky | 93.11 | 96.7 | | floor | 82.02 | 90.54 | | tree | 72.91 | 91.95 | | ceiling | 82.6 | 93.41 | | road | 83.89 | 88.73 | | bed | 86.6 | 94.56 | | windowpane | 59.9 | 70.74 | | grass | 66.1 | 80.57 | | cabinet | 56.79 | 61.77 | | sidewalk | 68.33 | 79.92 | | person | 80.57 | 90.94 | | earth | 40.46 | 54.79 | | door | 50.0 | 70.36 | | table | 59.15 | 77.61 | | mountain | 59.82 | 69.94 | | plant | 52.23 | 65.3 | | curtain | 75.03 | 85.09 | | chair | 56.58 | 69.3 | | car | 82.15 | 90.19 | | water | 58.16 | 75.31 | | painting | 70.97 | 85.36 | | sofa | 65.64 | 91.36 | | shelf | 40.58 | 55.73 | | house | 39.53 | 73.65 | | sea | 62.42 | 84.07 | | mirror | 67.18 | 76.58 | | rug | 63.34 | 68.01 | | field | 27.15 | 44.11 | | armchair | 34.88 | 42.16 | | seat | 66.36 | 83.06 | | fence | 41.55 | 51.81 | | desk | 45.99 | 62.16 | | rock | 50.8 | 69.1 | | wardrobe | 47.02 | 67.07 | | lamp | 58.13 | 67.0 | | bathtub | 81.12 | 88.4 | | railing | 38.69 | 63.98 | | cushion | 56.17 | 74.21 | | base | 31.97 | 56.34 | | box | 27.43 | 37.33 | | column | 46.77 | 60.28 | | signboard | 37.81 | 49.31 | | chest of drawers | 51.47 | 61.23 | | counter | 35.06 | 45.52 | | sand | 55.39 | 76.19 | | sink | 71.52 | 79.98 | | skyscraper | 39.39 | 41.84 | | fireplace | 63.97 | 88.88 | | refrigerator | 70.05 | 86.38 | | grandstand | 52.07 | 77.31 | | path | 26.83 | 42.19 | | stairs | 39.53 | 55.86 | | runway | 66.11 | 74.23 | | case | 56.82 | 79.14 | | pool table | 86.18 | 95.84 | | pillow | 37.97 | 41.56 | | screen door | 56.31 | 88.92 | | stairway | 32.36 | 35.21 | | river | 25.36 | 32.39 | | bridge | 52.85 | 67.01 | | bookcase | 33.44 | 51.18 | | blind | 48.03 | 61.77 | | coffee table | 60.3 | 76.33 | | toilet | 83.2 | 90.63 | | flower | 28.43 | 33.4 | | book | 42.33 | 64.48 | | hill | 8.13 | 12.03 | | bench | 53.04 | 61.04 | | countertop | 53.56 | 66.94 | | stove | 69.92 | 83.04 | | palm | 46.31 | 54.38 | | kitchen island | 22.63 | 96.38 | | computer | 71.0 | 80.35 | | swivel chair | 48.63 | 68.36 | | boat | 72.68 | 87.27 | | bar | 39.39 | 51.72 | | arcade machine | 52.0 | 55.08 | | hovel | 42.72 | 73.26 | | bus | 91.68 | 95.35 | | towel | 56.59 | 72.6 | | light | 35.6 | 38.08 | | truck | 35.71 | 63.65 | | tower | 32.03 | 53.49 | | chandelier | 63.29 | 78.79 | | awning | 26.86 | 39.54 | | streetlight | 28.25 | 38.74 | | booth | 43.54 | 45.32 | | television receiver | 68.91 | 79.04 | | airplane | 53.7 | 65.58 | | dirt track | 4.02 | 17.02 | | apparel | 34.07 | 44.86 | | pole | 23.9 | 31.66 | | land | 0.91 | 0.98 | | bannister | 8.34 | 12.94 | | escalator | 28.94 | 32.5 | | ottoman | 50.11 | 72.07 | | bottle | 28.5 | 35.6 | | buffet | 50.18 | 67.29 | | poster | 25.17 | 31.86 | | stage | 10.25 | 26.34 | | van | 40.83 | 53.04 | | ship | 75.04 | 78.65 | | fountain | 32.89 | 34.38 | | conveyer belt | 73.73 | 88.39 | | canopy | 38.92 | 46.39 | | washer | 70.93 | 73.98 | | plaything | 26.0 | 31.21 | | swimming pool | 66.2 | 82.53 | | stool | 37.68 | 46.24 | | barrel | 49.45 | 64.84 | | basket | 25.58 | 41.85 | | waterfall | 60.47 | 82.52 | | tent | 91.19 | 96.23 | | bag | 18.12 | 19.62 | | minibike | 70.86 | 81.76 | | cradle | 70.37 | 87.02 | | oven | 39.25 | 60.54 | | ball | 49.94 | 72.03 | | food | 46.56 | 53.78 | | step | 5.45 | 6.65 | | tank | 41.68 | 54.07 | | trade name | 28.16 | 33.74 | | microwave | 86.02 | 89.64 | | pot | 38.26 | 41.73 | | animal | 66.53 | 72.53 | | bicycle | 58.8 | 71.88 | | lake | 0.0 | 0.0 | | dishwasher | 63.17 | 71.92 | | screen | 71.56 | 82.65 | | blanket | 2.24 | 2.34 | | sculpture | 59.67 | 82.76 | | hood | 51.88 | 62.81 | | sconce | 33.87 | 38.14 | | vase | 37.63 | 44.25 | | traffic light | 32.86 | 44.51 | | tray | 9.58 | 11.55 | | ashcan | 36.15 | 61.01 | | fan | 43.05 | 46.01 | | pier | 44.69 | 55.96 | | crt screen | 8.78 | 26.82 | | plate | 53.29 | 67.23 | | monitor | 8.7 | 9.3 | | bulletin board | 40.34 | 60.12 | | shower | 2.65 | 2.99 | | radiator | 59.99 | 69.23 | | glass | 11.51 | 11.85 | | clock | 22.13 | 26.27 | | flag | 68.27 | 74.62 | +---------------------+-------+-------+ 2023/10/27 18:16:23 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.2732 data_time: 0.0266 memory: 27846 2023/10/27 18:16:43 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5070 coco/bbox_mAP_50: 0.6880 coco/bbox_mAP_75: 0.5550 coco/bbox_mAP_s: 0.3470 coco/bbox_mAP_m: 0.5550 coco/bbox_mAP_l: 0.6530 coco/segm_mAP: 0.3260 coco/segm_mAP_50: 0.5820 coco/segm_mAP_75: 0.3250 coco/segm_mAP_s: 0.1850 coco/segm_mAP_m: 0.3710 coco/segm_mAP_l: 0.5030 Bleu_1: 0.7616 Bleu_2: 0.5934 Bleu_3: 0.4495 Bleu_4: 0.3378 METEOR: 0.2752 ROUGE_L: 0.5633 CIDEr: 1.1176 SPICE: 0.2055 aAcc: 82.6800 mIoU: 48.6200 mAcc: 60.8300 visual-grounding/miou: 0.7548 visual-grounding/acc: 0.8344 data_time: 0.0013 time: 0.2612 2023/10/27 18:20:37 - mmengine - INFO - Iter(train) [270100/480000] base_lr: 8.1623e-05 lr: 2.2643e-05 eta: 5 days, 18:10:34 time: 2.4568 data_time: 0.1316 memory: 25727 grad_norm: 1.1629 loss: 1.3167 grounding_loss_reg: 3.1561 detection_loss_cls: 0.0443 detection_loss_reg: 0.4226 caption_loss_cls: 2.3534 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7567 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:24:24 - mmengine - INFO - Iter(train) [270200/480000] base_lr: 8.1560e-05 lr: 2.2627e-05 eta: 5 days, 18:04:24 time: 2.4576 data_time: 0.1316 memory: 26565 grad_norm: 1.1555 loss: 1.3141 grounding_loss_reg: 3.1564 detection_loss_cls: 0.0445 detection_loss_reg: 0.4230 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7585 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:27:53 - mmengine - INFO - Iter(train) [270300/480000] base_lr: 8.1496e-05 lr: 2.2610e-05 eta: 5 days, 17:54:08 time: 2.4568 data_time: 0.1315 memory: 25727 grad_norm: 1.1593 loss: 1.3155 grounding_loss_reg: 3.1549 detection_loss_cls: 0.0446 detection_loss_reg: 0.4231 caption_loss_cls: 2.3515 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:31:53 - mmengine - INFO - Iter(train) [270400/480000] base_lr: 8.1433e-05 lr: 2.2594e-05 eta: 5 days, 17:50:45 time: 2.4619 data_time: 0.1316 memory: 25727 grad_norm: 1.1594 loss: 1.3145 grounding_loss_reg: 3.1546 detection_loss_cls: 0.0446 detection_loss_reg: 0.4232 caption_loss_cls: 2.3500 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7577 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:35:43 - mmengine - INFO - Iter(train) [270500/480000] base_lr: 8.1369e-05 lr: 2.2577e-05 eta: 5 days, 17:45:18 time: 2.4599 data_time: 0.1315 memory: 26565 grad_norm: 1.1646 loss: 1.3263 grounding_loss_reg: 3.1551 detection_loss_cls: 0.0447 detection_loss_reg: 0.4230 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7580 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:35:43 - mmengine - INFO - Saving checkpoint at 270500 iterations 2023/10/27 18:42:23 - mmengine - INFO - Iter(train) [270600/480000] base_lr: 8.1306e-05 lr: 2.2561e-05 eta: 5 days, 18:17:59 time: 2.4683 data_time: 0.1313 memory: 26565 grad_norm: 1.1566 loss: 1.3263 grounding_loss_reg: 3.1559 detection_loss_cls: 0.0448 detection_loss_reg: 0.4232 caption_loss_cls: 2.3537 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7589 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:47:23 - mmengine - INFO - Iter(train) [270700/480000] base_lr: 8.1242e-05 lr: 2.2544e-05 eta: 5 days, 18:27:44 time: 2.4859 data_time: 0.1313 memory: 26565 grad_norm: 1.1580 loss: 1.3254 grounding_loss_reg: 3.1557 detection_loss_cls: 0.0448 detection_loss_reg: 0.4241 caption_loss_cls: 2.3512 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7593 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:51:09 - mmengine - INFO - Iter(train) [270800/480000] base_lr: 8.1179e-05 lr: 2.2528e-05 eta: 5 days, 18:21:03 time: 2.4800 data_time: 0.1313 memory: 26565 grad_norm: 1.1597 loss: 1.3315 grounding_loss_reg: 3.1545 detection_loss_cls: 0.0448 detection_loss_reg: 0.4237 caption_loss_cls: 2.3529 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7594 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:55:05 - mmengine - INFO - Iter(train) [270900/480000] base_lr: 8.1115e-05 lr: 2.2511e-05 eta: 5 days, 18:16:41 time: 2.4843 data_time: 0.1313 memory: 26565 grad_norm: 1.1620 loss: 1.3338 grounding_loss_reg: 3.1558 detection_loss_cls: 0.0447 detection_loss_reg: 0.4231 caption_loss_cls: 2.3540 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7594 semantic_segmentation_loss_cls: 0.0111 2023/10/27 18:58:52 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 18:58:52 - mmengine - INFO - Iter(train) [271000/480000] base_lr: 8.1052e-05 lr: 2.2495e-05 eta: 5 days, 18:10:17 time: 2.4901 data_time: 0.1313 memory: 26565 grad_norm: 1.1515 loss: 1.3287 grounding_loss_reg: 3.1556 detection_loss_cls: 0.0448 detection_loss_reg: 0.4232 caption_loss_cls: 2.3555 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7589 semantic_segmentation_loss_cls: 0.0110 2023/10/27 18:58:52 - mmengine - INFO - Saving checkpoint at 271000 iterations 2023/10/27 19:03:46 - mmengine - INFO - Iter(train) [271100/480000] base_lr: 8.0988e-05 lr: 2.2478e-05 eta: 5 days, 18:18:26 time: 2.4893 data_time: 0.1315 memory: 25727 grad_norm: 1.1541 loss: 1.3332 grounding_loss_reg: 3.1543 detection_loss_cls: 0.0449 detection_loss_reg: 0.4233 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7582 semantic_segmentation_loss_cls: 0.0110 2023/10/27 19:07:31 - mmengine - INFO - Iter(train) [271200/480000] base_lr: 8.0925e-05 lr: 2.2462e-05 eta: 5 days, 18:11:41 time: 2.4930 data_time: 0.1315 memory: 26565 grad_norm: 1.1561 loss: 1.3355 grounding_loss_reg: 3.1535 detection_loss_cls: 0.0449 detection_loss_reg: 0.4229 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7598 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:10:55 - mmengine - INFO - Iter(train) [271300/480000] base_lr: 8.0861e-05 lr: 2.2446e-05 eta: 5 days, 18:00:12 time: 2.4840 data_time: 0.1315 memory: 26565 grad_norm: 1.1599 loss: 1.3341 grounding_loss_reg: 3.1525 detection_loss_cls: 0.0449 detection_loss_reg: 0.4233 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:14:49 - mmengine - INFO - Iter(train) [271400/480000] base_lr: 8.0798e-05 lr: 2.2429e-05 eta: 5 days, 17:55:28 time: 2.4832 data_time: 0.1315 memory: 25727 grad_norm: 1.1693 loss: 1.3457 grounding_loss_reg: 3.1555 detection_loss_cls: 0.0448 detection_loss_reg: 0.4234 caption_loss_cls: 2.3538 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7590 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:18:50 - mmengine - INFO - Iter(train) [271500/480000] base_lr: 8.0734e-05 lr: 2.2413e-05 eta: 5 days, 17:52:12 time: 2.4883 data_time: 0.1315 memory: 25727 grad_norm: 1.1721 loss: 1.3385 grounding_loss_reg: 3.1545 detection_loss_cls: 0.0447 detection_loss_reg: 0.4228 caption_loss_cls: 2.3501 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7587 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:18:50 - mmengine - INFO - Saving checkpoint at 271500 iterations 2023/10/27 19:23:56 - mmengine - INFO - Iter(train) [271600/480000] base_lr: 8.0671e-05 lr: 2.2396e-05 eta: 5 days, 18:02:19 time: 2.4921 data_time: 0.1315 memory: 26565 grad_norm: 1.1620 loss: 1.3294 grounding_loss_reg: 3.1543 detection_loss_cls: 0.0447 detection_loss_reg: 0.4223 caption_loss_cls: 2.3495 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:27:12 - mmengine - INFO - Iter(train) [271700/480000] base_lr: 8.0608e-05 lr: 2.2380e-05 eta: 5 days, 17:49:30 time: 2.4880 data_time: 0.1315 memory: 25727 grad_norm: 1.1591 loss: 1.3286 grounding_loss_reg: 3.1545 detection_loss_cls: 0.0446 detection_loss_reg: 0.4215 caption_loss_cls: 2.3467 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:30:56 - mmengine - INFO - Iter(train) [271800/480000] base_lr: 8.0544e-05 lr: 2.2363e-05 eta: 5 days, 17:42:35 time: 2.4797 data_time: 0.1315 memory: 25727 grad_norm: 1.1700 loss: 1.3344 grounding_loss_reg: 3.1511 detection_loss_cls: 0.0446 detection_loss_reg: 0.4212 caption_loss_cls: 2.3459 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7576 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:34:20 - mmengine - INFO - Iter(train) [271900/480000] base_lr: 8.0481e-05 lr: 2.2347e-05 eta: 5 days, 17:31:37 time: 2.4715 data_time: 0.1314 memory: 26565 grad_norm: 1.1767 loss: 1.3342 grounding_loss_reg: 3.1500 detection_loss_cls: 0.0446 detection_loss_reg: 0.4217 caption_loss_cls: 2.3469 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7569 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:38:02 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 19:38:02 - mmengine - INFO - Iter(train) [272000/480000] base_lr: 8.0417e-05 lr: 2.2330e-05 eta: 5 days, 17:24:26 time: 2.4773 data_time: 0.1314 memory: 26565 grad_norm: 1.1755 loss: 1.3305 grounding_loss_reg: 3.1486 detection_loss_cls: 0.0447 detection_loss_reg: 0.4221 caption_loss_cls: 2.3419 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7563 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:38:02 - mmengine - INFO - Saving checkpoint at 272000 iterations 2023/10/27 19:42:42 - mmengine - INFO - Iter(train) [272100/480000] base_lr: 8.0354e-05 lr: 2.2314e-05 eta: 5 days, 17:28:54 time: 2.4627 data_time: 0.1313 memory: 25727 grad_norm: 1.1794 loss: 1.3308 grounding_loss_reg: 3.1487 detection_loss_cls: 0.0447 detection_loss_reg: 0.4218 caption_loss_cls: 2.3423 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7576 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:46:08 - mmengine - INFO - Iter(train) [272200/480000] base_lr: 8.0291e-05 lr: 2.2298e-05 eta: 5 days, 17:18:38 time: 2.4599 data_time: 0.1313 memory: 25727 grad_norm: 1.1760 loss: 1.3276 grounding_loss_reg: 3.1488 detection_loss_cls: 0.0446 detection_loss_reg: 0.4215 caption_loss_cls: 2.3424 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7577 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:49:59 - mmengine - INFO - Iter(train) [272300/480000] base_lr: 8.0227e-05 lr: 2.2281e-05 eta: 5 days, 17:13:08 time: 2.4675 data_time: 0.1313 memory: 26565 grad_norm: 1.1771 loss: 1.3216 grounding_loss_reg: 3.1474 detection_loss_cls: 0.0445 detection_loss_reg: 0.4216 caption_loss_cls: 2.3389 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7579 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:53:25 - mmengine - INFO - Iter(train) [272400/480000] base_lr: 8.0164e-05 lr: 2.2265e-05 eta: 5 days, 17:02:49 time: 2.4580 data_time: 0.1312 memory: 25727 grad_norm: 1.1810 loss: 1.3266 grounding_loss_reg: 3.1482 detection_loss_cls: 0.0447 detection_loss_reg: 0.4230 caption_loss_cls: 2.3431 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7572 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:56:59 - mmengine - INFO - Iter(train) [272500/480000] base_lr: 8.0101e-05 lr: 2.2248e-05 eta: 5 days, 16:54:09 time: 2.4567 data_time: 0.1312 memory: 26565 grad_norm: 1.1789 loss: 1.3239 grounding_loss_reg: 3.1490 detection_loss_cls: 0.0446 detection_loss_reg: 0.4229 caption_loss_cls: 2.3430 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0111 2023/10/27 19:56:59 - mmengine - INFO - Saving checkpoint at 272500 iterations 2023/10/27 20:01:47 - mmengine - INFO - Iter(train) [272600/480000] base_lr: 8.0037e-05 lr: 2.2232e-05 eta: 5 days, 17:00:07 time: 2.4578 data_time: 0.1311 memory: 25727 grad_norm: 1.1788 loss: 1.3240 grounding_loss_reg: 3.1488 detection_loss_cls: 0.0446 detection_loss_reg: 0.4230 caption_loss_cls: 2.3424 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7554 semantic_segmentation_loss_cls: 0.0111 2023/10/27 20:05:55 - mmengine - INFO - Iter(train) [272700/480000] base_lr: 7.9974e-05 lr: 2.2215e-05 eta: 5 days, 16:58:07 time: 2.4653 data_time: 0.1312 memory: 26565 grad_norm: 1.1705 loss: 1.3248 grounding_loss_reg: 3.1480 detection_loss_cls: 0.0447 detection_loss_reg: 0.4230 caption_loss_cls: 2.3449 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7562 semantic_segmentation_loss_cls: 0.0111 2023/10/27 20:09:39 - mmengine - INFO - Iter(train) [272800/480000] base_lr: 7.9911e-05 lr: 2.2199e-05 eta: 5 days, 16:51:35 time: 2.4309 data_time: 0.1307 memory: 26565 grad_norm: 1.1761 loss: 1.3248 grounding_loss_reg: 3.1451 detection_loss_cls: 0.0448 detection_loss_reg: 0.4231 caption_loss_cls: 2.3395 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7578 semantic_segmentation_loss_cls: 0.0111 2023/10/27 20:15:10 - mmengine - INFO - Iter(train) [272900/480000] base_lr: 7.9847e-05 lr: 2.2183e-05 eta: 5 days, 17:05:32 time: 2.4483 data_time: 0.1307 memory: 25727 grad_norm: 1.1830 loss: 1.3279 grounding_loss_reg: 3.1440 detection_loss_cls: 0.0448 detection_loss_reg: 0.4232 caption_loss_cls: 2.3350 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7562 semantic_segmentation_loss_cls: 0.0111 2023/10/27 20:19:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 20:19:13 - mmengine - INFO - Iter(train) [273000/480000] base_lr: 7.9784e-05 lr: 2.2166e-05 eta: 5 days, 17:02:29 time: 2.4516 data_time: 0.1308 memory: 26565 grad_norm: 1.1828 loss: 1.3260 grounding_loss_reg: 3.1437 detection_loss_cls: 0.0446 detection_loss_reg: 0.4239 caption_loss_cls: 2.3370 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7554 semantic_segmentation_loss_cls: 0.0111 2023/10/27 20:19:13 - mmengine - INFO - Saving checkpoint at 273000 iterations 2023/10/27 20:24:02 - mmengine - INFO - Iter(train) [273100/480000] base_lr: 7.9721e-05 lr: 2.2150e-05 eta: 5 days, 17:08:05 time: 2.4476 data_time: 0.1306 memory: 25727 grad_norm: 1.1867 loss: 1.3295 grounding_loss_reg: 3.1422 detection_loss_cls: 0.0446 detection_loss_reg: 0.4246 caption_loss_cls: 2.3360 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7553 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:27:14 - mmengine - INFO - Iter(train) [273200/480000] base_lr: 7.9657e-05 lr: 2.2133e-05 eta: 5 days, 16:55:19 time: 2.4361 data_time: 0.1305 memory: 25727 grad_norm: 1.1924 loss: 1.3305 grounding_loss_reg: 3.1410 detection_loss_cls: 0.0445 detection_loss_reg: 0.4243 caption_loss_cls: 2.3390 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7545 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:31:09 - mmengine - INFO - Iter(train) [273300/480000] base_lr: 7.9594e-05 lr: 2.2117e-05 eta: 5 days, 16:50:45 time: 2.4380 data_time: 0.1305 memory: 26565 grad_norm: 1.1902 loss: 1.3199 grounding_loss_reg: 3.1387 detection_loss_cls: 0.0446 detection_loss_reg: 0.4247 caption_loss_cls: 2.3405 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7544 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:35:05 - mmengine - INFO - Iter(train) [273400/480000] base_lr: 7.9531e-05 lr: 2.2101e-05 eta: 5 days, 16:46:22 time: 2.4401 data_time: 0.1304 memory: 26565 grad_norm: 1.1820 loss: 1.3127 grounding_loss_reg: 3.1381 detection_loss_cls: 0.0448 detection_loss_reg: 0.4262 caption_loss_cls: 2.3406 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7553 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:39:00 - mmengine - INFO - Iter(train) [273500/480000] base_lr: 7.9468e-05 lr: 2.2084e-05 eta: 5 days, 16:41:41 time: 2.4393 data_time: 0.1305 memory: 26565 grad_norm: 1.1856 loss: 1.3155 grounding_loss_reg: 3.1388 detection_loss_cls: 0.0447 detection_loss_reg: 0.4266 caption_loss_cls: 2.3361 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7547 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:39:00 - mmengine - INFO - Saving checkpoint at 273500 iterations 2023/10/27 20:43:38 - mmengine - INFO - Iter(train) [273600/480000] base_lr: 7.9404e-05 lr: 2.2068e-05 eta: 5 days, 16:45:07 time: 2.4332 data_time: 0.1308 memory: 26565 grad_norm: 1.1840 loss: 1.3122 grounding_loss_reg: 3.1392 detection_loss_cls: 0.0448 detection_loss_reg: 0.4278 caption_loss_cls: 2.3372 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7544 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:47:19 - mmengine - INFO - Iter(train) [273700/480000] base_lr: 7.9341e-05 lr: 2.2051e-05 eta: 5 days, 16:37:53 time: 2.4321 data_time: 0.1308 memory: 26565 grad_norm: 1.1822 loss: 1.3094 grounding_loss_reg: 3.1401 detection_loss_cls: 0.0449 detection_loss_reg: 0.4277 caption_loss_cls: 2.3328 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7539 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:51:15 - mmengine - INFO - Iter(train) [273800/480000] base_lr: 7.9278e-05 lr: 2.2035e-05 eta: 5 days, 16:33:29 time: 2.4351 data_time: 0.1308 memory: 25727 grad_norm: 1.1761 loss: 1.3118 grounding_loss_reg: 3.1393 detection_loss_cls: 0.0449 detection_loss_reg: 0.4275 caption_loss_cls: 2.3359 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7543 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:54:56 - mmengine - INFO - Iter(train) [273900/480000] base_lr: 7.9215e-05 lr: 2.2019e-05 eta: 5 days, 16:26:21 time: 2.4291 data_time: 0.1309 memory: 25727 grad_norm: 1.1763 loss: 1.3113 grounding_loss_reg: 3.1400 detection_loss_cls: 0.0449 detection_loss_reg: 0.4277 caption_loss_cls: 2.3314 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7542 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:58:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 20:58:44 - mmengine - INFO - Iter(train) [274000/480000] base_lr: 7.9152e-05 lr: 2.2002e-05 eta: 5 days, 16:20:23 time: 2.4301 data_time: 0.1309 memory: 26565 grad_norm: 1.1734 loss: 1.3165 grounding_loss_reg: 3.1388 detection_loss_cls: 0.0450 detection_loss_reg: 0.4275 caption_loss_cls: 2.3379 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7552 semantic_segmentation_loss_cls: 0.0110 2023/10/27 20:58:44 - mmengine - INFO - Saving checkpoint at 274000 iterations 2023/10/27 21:03:24 - mmengine - INFO - Iter(train) [274100/480000] base_lr: 7.9088e-05 lr: 2.1986e-05 eta: 5 days, 16:24:01 time: 2.4414 data_time: 0.1467 memory: 25727 grad_norm: 1.1703 loss: 1.3180 grounding_loss_reg: 3.1382 detection_loss_cls: 0.0449 detection_loss_reg: 0.4269 caption_loss_cls: 2.3417 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7552 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:07:15 - mmengine - INFO - Iter(train) [274200/480000] base_lr: 7.9025e-05 lr: 2.1969e-05 eta: 5 days, 16:18:34 time: 2.4422 data_time: 0.1467 memory: 26565 grad_norm: 1.1742 loss: 1.3208 grounding_loss_reg: 3.1361 detection_loss_cls: 0.0448 detection_loss_reg: 0.4271 caption_loss_cls: 2.3443 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:10:55 - mmengine - INFO - Iter(train) [274300/480000] base_lr: 7.8962e-05 lr: 2.1953e-05 eta: 5 days, 16:11:18 time: 2.4448 data_time: 0.1468 memory: 25727 grad_norm: 1.1725 loss: 1.3238 grounding_loss_reg: 3.1361 detection_loss_cls: 0.0447 detection_loss_reg: 0.4267 caption_loss_cls: 2.3469 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7568 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:14:31 - mmengine - INFO - Iter(train) [274400/480000] base_lr: 7.8899e-05 lr: 2.1937e-05 eta: 5 days, 16:03:21 time: 2.4390 data_time: 0.1468 memory: 26565 grad_norm: 1.1693 loss: 1.3239 grounding_loss_reg: 3.1364 detection_loss_cls: 0.0447 detection_loss_reg: 0.4263 caption_loss_cls: 2.3455 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:18:24 - mmengine - INFO - Iter(train) [274500/480000] base_lr: 7.8836e-05 lr: 2.1920e-05 eta: 5 days, 15:58:32 time: 2.4398 data_time: 0.1468 memory: 26565 grad_norm: 1.1693 loss: 1.3193 grounding_loss_reg: 3.1374 detection_loss_cls: 0.0448 detection_loss_reg: 0.4271 caption_loss_cls: 2.3417 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7553 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:18:24 - mmengine - INFO - Saving checkpoint at 274500 iterations 2023/10/27 21:23:21 - mmengine - INFO - Iter(train) [274600/480000] base_lr: 7.8773e-05 lr: 2.1904e-05 eta: 5 days, 16:04:49 time: 2.4139 data_time: 0.1450 memory: 25727 grad_norm: 1.1639 loss: 1.3141 grounding_loss_reg: 3.1374 detection_loss_cls: 0.0448 detection_loss_reg: 0.4266 caption_loss_cls: 2.3435 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7563 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:27:13 - mmengine - INFO - Iter(train) [274700/480000] base_lr: 7.8709e-05 lr: 2.1888e-05 eta: 5 days, 15:59:46 time: 2.3971 data_time: 0.1450 memory: 26565 grad_norm: 1.1592 loss: 1.3177 grounding_loss_reg: 3.1371 detection_loss_cls: 0.0449 detection_loss_reg: 0.4265 caption_loss_cls: 2.3419 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7567 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:30:45 - mmengine - INFO - Iter(train) [274800/480000] base_lr: 7.8646e-05 lr: 2.1871e-05 eta: 5 days, 15:51:05 time: 2.3935 data_time: 0.1450 memory: 26565 grad_norm: 1.1646 loss: 1.3172 grounding_loss_reg: 3.1371 detection_loss_cls: 0.0449 detection_loss_reg: 0.4272 caption_loss_cls: 2.3383 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7566 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:34:21 - mmengine - INFO - Iter(train) [274900/480000] base_lr: 7.8583e-05 lr: 2.1855e-05 eta: 5 days, 15:43:19 time: 2.3885 data_time: 0.1451 memory: 25727 grad_norm: 1.1587 loss: 1.3130 grounding_loss_reg: 3.1364 detection_loss_cls: 0.0449 detection_loss_reg: 0.4275 caption_loss_cls: 2.3373 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7555 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:38:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 21:38:01 - mmengine - INFO - Iter(train) [275000/480000] base_lr: 7.8520e-05 lr: 2.1839e-05 eta: 5 days, 15:36:14 time: 2.3867 data_time: 0.1451 memory: 26565 grad_norm: 1.1583 loss: 1.3089 grounding_loss_reg: 3.1342 detection_loss_cls: 0.0449 detection_loss_reg: 0.4278 caption_loss_cls: 2.3387 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7547 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:38:01 - mmengine - INFO - Saving checkpoint at 275000 iterations 2023/10/27 21:43:11 - mmengine - INFO - Iter(train) [275100/480000] base_lr: 7.8457e-05 lr: 2.1822e-05 eta: 5 days, 15:44:27 time: 2.3907 data_time: 0.1446 memory: 26565 grad_norm: 1.1639 loss: 1.3113 grounding_loss_reg: 3.1331 detection_loss_cls: 0.0449 detection_loss_reg: 0.4280 caption_loss_cls: 2.3371 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:50:21 - mmengine - INFO - Iter(train) [275200/480000] base_lr: 7.8394e-05 lr: 2.1806e-05 eta: 5 days, 16:12:48 time: 2.4418 data_time: 0.1457 memory: 26565 grad_norm: 1.1507 loss: 1.3034 grounding_loss_reg: 3.1347 detection_loss_cls: 0.0448 detection_loss_reg: 0.4281 caption_loss_cls: 2.3363 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7528 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:54:00 - mmengine - INFO - Iter(train) [275300/480000] base_lr: 7.8331e-05 lr: 2.1789e-05 eta: 5 days, 16:05:22 time: 2.4458 data_time: 0.1467 memory: 26565 grad_norm: 1.1424 loss: 1.2970 grounding_loss_reg: 3.1347 detection_loss_cls: 0.0448 detection_loss_reg: 0.4278 caption_loss_cls: 2.3371 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0110 2023/10/27 21:57:49 - mmengine - INFO - Iter(train) [275400/480000] base_lr: 7.8268e-05 lr: 2.1773e-05 eta: 5 days, 15:59:42 time: 2.4445 data_time: 0.1466 memory: 26565 grad_norm: 1.1351 loss: 1.2930 grounding_loss_reg: 3.1342 detection_loss_cls: 0.0449 detection_loss_reg: 0.4291 caption_loss_cls: 2.3418 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7538 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:01:25 - mmengine - INFO - Iter(train) [275500/480000] base_lr: 7.8205e-05 lr: 2.1757e-05 eta: 5 days, 15:51:51 time: 2.4381 data_time: 0.1466 memory: 26565 grad_norm: 1.1325 loss: 1.2988 grounding_loss_reg: 3.1339 detection_loss_cls: 0.0450 detection_loss_reg: 0.4292 caption_loss_cls: 2.3426 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7549 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:01:25 - mmengine - INFO - Saving checkpoint at 275500 iterations 2023/10/27 22:06:11 - mmengine - INFO - Iter(train) [275600/480000] base_lr: 7.8142e-05 lr: 2.1740e-05 eta: 5 days, 15:55:30 time: 2.4332 data_time: 0.1467 memory: 26565 grad_norm: 1.1372 loss: 1.3032 grounding_loss_reg: 3.1342 detection_loss_cls: 0.0450 detection_loss_reg: 0.4296 caption_loss_cls: 2.3439 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7565 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:09:48 - mmengine - INFO - Iter(train) [275700/480000] base_lr: 7.8079e-05 lr: 2.1724e-05 eta: 5 days, 15:47:51 time: 2.4384 data_time: 0.1467 memory: 25727 grad_norm: 1.1318 loss: 1.2997 grounding_loss_reg: 3.1330 detection_loss_cls: 0.0451 detection_loss_reg: 0.4296 caption_loss_cls: 2.3428 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7578 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:13:49 - mmengine - INFO - Iter(train) [275800/480000] base_lr: 7.8016e-05 lr: 2.1708e-05 eta: 5 days, 15:44:12 time: 2.4428 data_time: 0.1467 memory: 26565 grad_norm: 1.1271 loss: 1.2953 grounding_loss_reg: 3.1319 detection_loss_cls: 0.0450 detection_loss_reg: 0.4298 caption_loss_cls: 2.3404 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7564 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:17:43 - mmengine - INFO - Iter(train) [275900/480000] base_lr: 7.7953e-05 lr: 2.1691e-05 eta: 5 days, 15:39:21 time: 2.4503 data_time: 0.1468 memory: 26565 grad_norm: 1.1270 loss: 1.3007 grounding_loss_reg: 3.1313 detection_loss_cls: 0.0451 detection_loss_reg: 0.4303 caption_loss_cls: 2.3423 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7581 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:21:21 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 22:21:21 - mmengine - INFO - Iter(train) [276000/480000] base_lr: 7.7890e-05 lr: 2.1675e-05 eta: 5 days, 15:31:55 time: 2.4493 data_time: 0.1468 memory: 26565 grad_norm: 1.1297 loss: 1.3058 grounding_loss_reg: 3.1303 detection_loss_cls: 0.0451 detection_loss_reg: 0.4303 caption_loss_cls: 2.3405 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7575 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:21:21 - mmengine - INFO - Saving checkpoint at 276000 iterations 2023/10/27 22:25:54 - mmengine - INFO - Iter(train) [276100/480000] base_lr: 7.7827e-05 lr: 2.1659e-05 eta: 5 days, 15:33:21 time: 2.4476 data_time: 0.1466 memory: 26565 grad_norm: 1.1309 loss: 1.3111 grounding_loss_reg: 3.1298 detection_loss_cls: 0.0450 detection_loss_reg: 0.4299 caption_loss_cls: 2.3430 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7573 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:29:16 - mmengine - INFO - Iter(train) [276200/480000] base_lr: 7.7764e-05 lr: 2.1642e-05 eta: 5 days, 15:23:15 time: 2.4462 data_time: 0.1465 memory: 26565 grad_norm: 1.1320 loss: 1.3131 grounding_loss_reg: 3.1294 detection_loss_cls: 0.0449 detection_loss_reg: 0.4291 caption_loss_cls: 2.3437 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7563 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:32:59 - mmengine - INFO - Iter(train) [276300/480000] base_lr: 7.7701e-05 lr: 2.1626e-05 eta: 5 days, 15:16:43 time: 2.4445 data_time: 0.1465 memory: 26565 grad_norm: 1.1240 loss: 1.3082 grounding_loss_reg: 3.1280 detection_loss_cls: 0.0450 detection_loss_reg: 0.4291 caption_loss_cls: 2.3450 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7557 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:36:53 - mmengine - INFO - Iter(train) [276400/480000] base_lr: 7.7638e-05 lr: 2.1610e-05 eta: 5 days, 15:12:00 time: 2.4516 data_time: 0.1466 memory: 26565 grad_norm: 1.1249 loss: 1.3077 grounding_loss_reg: 3.1265 detection_loss_cls: 0.0449 detection_loss_reg: 0.4286 caption_loss_cls: 2.3435 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:40:44 - mmengine - INFO - Iter(train) [276500/480000] base_lr: 7.7575e-05 lr: 2.1593e-05 eta: 5 days, 15:06:43 time: 2.4559 data_time: 0.1466 memory: 25727 grad_norm: 1.1251 loss: 1.3066 grounding_loss_reg: 3.1265 detection_loss_cls: 0.0450 detection_loss_reg: 0.4296 caption_loss_cls: 2.3432 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7506 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:40:44 - mmengine - INFO - Saving checkpoint at 276500 iterations 2023/10/27 22:45:39 - mmengine - INFO - Iter(train) [276600/480000] base_lr: 7.7512e-05 lr: 2.1577e-05 eta: 5 days, 15:11:32 time: 2.4576 data_time: 0.1467 memory: 25727 grad_norm: 1.1290 loss: 1.3135 grounding_loss_reg: 3.1239 detection_loss_cls: 0.0450 detection_loss_reg: 0.4292 caption_loss_cls: 2.3474 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0110 2023/10/27 22:49:28 - mmengine - INFO - Iter(train) [276700/480000] base_lr: 7.7449e-05 lr: 2.1561e-05 eta: 5 days, 15:05:52 time: 2.4528 data_time: 0.1467 memory: 25727 grad_norm: 1.1338 loss: 1.3100 grounding_loss_reg: 3.1231 detection_loss_cls: 0.0450 detection_loss_reg: 0.4298 caption_loss_cls: 2.3425 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0109 2023/10/27 22:53:05 - mmengine - INFO - Iter(train) [276800/480000] base_lr: 7.7386e-05 lr: 2.1544e-05 eta: 5 days, 14:58:27 time: 2.4509 data_time: 0.1468 memory: 26565 grad_norm: 1.1336 loss: 1.3162 grounding_loss_reg: 3.1233 detection_loss_cls: 0.0451 detection_loss_reg: 0.4306 caption_loss_cls: 2.3387 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0109 2023/10/27 22:56:56 - mmengine - INFO - Iter(train) [276900/480000] base_lr: 7.7323e-05 lr: 2.1528e-05 eta: 5 days, 14:53:14 time: 2.4260 data_time: 0.1463 memory: 26565 grad_norm: 1.1278 loss: 1.3113 grounding_loss_reg: 3.1239 detection_loss_cls: 0.0451 detection_loss_reg: 0.4309 caption_loss_cls: 2.3391 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7537 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:00:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 23:00:35 - mmengine - INFO - Iter(train) [277000/480000] base_lr: 7.7260e-05 lr: 2.1512e-05 eta: 5 days, 14:46:04 time: 2.4199 data_time: 0.1463 memory: 26565 grad_norm: 1.1307 loss: 1.3106 grounding_loss_reg: 3.1231 detection_loss_cls: 0.0450 detection_loss_reg: 0.4303 caption_loss_cls: 2.3392 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:00:35 - mmengine - INFO - Saving checkpoint at 277000 iterations 2023/10/27 23:05:25 - mmengine - INFO - Iter(train) [277100/480000] base_lr: 7.7197e-05 lr: 2.1496e-05 eta: 5 days, 14:49:56 time: 2.4203 data_time: 0.1464 memory: 26565 grad_norm: 1.1257 loss: 1.3088 grounding_loss_reg: 3.1245 detection_loss_cls: 0.0451 detection_loss_reg: 0.4315 caption_loss_cls: 2.3384 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:09:21 - mmengine - INFO - Iter(train) [277200/480000] base_lr: 7.7134e-05 lr: 2.1479e-05 eta: 5 days, 14:45:30 time: 2.4313 data_time: 0.1465 memory: 26565 grad_norm: 1.1176 loss: 1.3002 grounding_loss_reg: 3.1249 detection_loss_cls: 0.0450 detection_loss_reg: 0.4320 caption_loss_cls: 2.3378 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7518 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:13:32 - mmengine - INFO - Iter(train) [277300/480000] base_lr: 7.7071e-05 lr: 2.1463e-05 eta: 5 days, 14:43:15 time: 2.4352 data_time: 0.1466 memory: 25727 grad_norm: 1.1140 loss: 1.3034 grounding_loss_reg: 3.1249 detection_loss_cls: 0.0449 detection_loss_reg: 0.4313 caption_loss_cls: 2.3354 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7533 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:19:50 - mmengine - INFO - Iter(train) [277400/480000] base_lr: 7.7008e-05 lr: 2.1447e-05 eta: 5 days, 15:00:07 time: 2.4706 data_time: 0.1505 memory: 25727 grad_norm: 1.1275 loss: 1.3111 grounding_loss_reg: 3.1233 detection_loss_cls: 0.0451 detection_loss_reg: 0.4321 caption_loss_cls: 2.3328 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:24:14 - mmengine - INFO - Iter(train) [277500/480000] base_lr: 7.6946e-05 lr: 2.1430e-05 eta: 5 days, 14:59:45 time: 2.4780 data_time: 0.1505 memory: 25727 grad_norm: 1.1277 loss: 1.3071 grounding_loss_reg: 3.1198 detection_loss_cls: 0.0452 detection_loss_reg: 0.4324 caption_loss_cls: 2.3363 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:24:14 - mmengine - INFO - Saving checkpoint at 277500 iterations 2023/10/27 23:28:58 - mmengine - INFO - Iter(train) [277600/480000] base_lr: 7.6883e-05 lr: 2.1414e-05 eta: 5 days, 15:02:23 time: 2.4795 data_time: 0.1510 memory: 25727 grad_norm: 1.1320 loss: 1.3067 grounding_loss_reg: 3.1182 detection_loss_cls: 0.0452 detection_loss_reg: 0.4322 caption_loss_cls: 2.3389 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7520 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:32:18 - mmengine - INFO - Iter(train) [277700/480000] base_lr: 7.6820e-05 lr: 2.1398e-05 eta: 5 days, 14:52:24 time: 2.4743 data_time: 0.1510 memory: 26565 grad_norm: 1.1317 loss: 1.3083 grounding_loss_reg: 3.1193 detection_loss_cls: 0.0452 detection_loss_reg: 0.4319 caption_loss_cls: 2.3403 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7511 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:36:04 - mmengine - INFO - Iter(train) [277800/480000] base_lr: 7.6757e-05 lr: 2.1381e-05 eta: 5 days, 14:46:16 time: 2.4716 data_time: 0.1510 memory: 25727 grad_norm: 1.1304 loss: 1.3036 grounding_loss_reg: 3.1160 detection_loss_cls: 0.0452 detection_loss_reg: 0.4318 caption_loss_cls: 2.3398 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7505 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:39:53 - mmengine - INFO - Iter(train) [277900/480000] base_lr: 7.6694e-05 lr: 2.1365e-05 eta: 5 days, 14:40:42 time: 2.4737 data_time: 0.1510 memory: 25727 grad_norm: 1.1305 loss: 1.3028 grounding_loss_reg: 3.1173 detection_loss_cls: 0.0454 detection_loss_reg: 0.4324 caption_loss_cls: 2.3355 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7502 semantic_segmentation_loss_cls: 0.0108 2023/10/27 23:43:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/27 23:43:33 - mmengine - INFO - Iter(train) [278000/480000] base_lr: 7.6631e-05 lr: 2.1349e-05 eta: 5 days, 14:33:45 time: 2.4718 data_time: 0.1511 memory: 26565 grad_norm: 1.1328 loss: 1.3015 grounding_loss_reg: 3.1171 detection_loss_cls: 0.0454 detection_loss_reg: 0.4323 caption_loss_cls: 2.3356 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7527 semantic_segmentation_loss_cls: 0.0108 2023/10/27 23:43:33 - mmengine - INFO - Saving checkpoint at 278000 iterations 2023/10/27 23:48:05 - mmengine - INFO - Iter(train) [278100/480000] base_lr: 7.6569e-05 lr: 2.1333e-05 eta: 5 days, 14:34:22 time: 2.4695 data_time: 0.1511 memory: 25727 grad_norm: 1.1390 loss: 1.2954 grounding_loss_reg: 3.1125 detection_loss_cls: 0.0455 detection_loss_reg: 0.4328 caption_loss_cls: 2.3361 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7528 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:51:47 - mmengine - INFO - Iter(train) [278200/480000] base_lr: 7.6506e-05 lr: 2.1316e-05 eta: 5 days, 14:27:46 time: 2.4675 data_time: 0.1511 memory: 25727 grad_norm: 1.1441 loss: 1.2915 grounding_loss_reg: 3.1117 detection_loss_cls: 0.0457 detection_loss_reg: 0.4333 caption_loss_cls: 2.3320 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7519 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:55:27 - mmengine - INFO - Iter(train) [278300/480000] base_lr: 7.6443e-05 lr: 2.1300e-05 eta: 5 days, 14:20:52 time: 2.4674 data_time: 0.1512 memory: 26565 grad_norm: 1.1516 loss: 1.2971 grounding_loss_reg: 3.1096 detection_loss_cls: 0.0456 detection_loss_reg: 0.4335 caption_loss_cls: 2.3307 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.7547 semantic_segmentation_loss_cls: 0.0109 2023/10/27 23:58:50 - mmengine - INFO - Iter(train) [278400/480000] base_lr: 7.6380e-05 lr: 2.1284e-05 eta: 5 days, 14:11:36 time: 2.4643 data_time: 0.1511 memory: 26565 grad_norm: 1.1538 loss: 1.2971 grounding_loss_reg: 3.1118 detection_loss_cls: 0.0456 detection_loss_reg: 0.4326 caption_loss_cls: 2.3306 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7539 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:02:45 - mmengine - INFO - Iter(train) [278500/480000] base_lr: 7.6318e-05 lr: 2.1268e-05 eta: 5 days, 14:06:55 time: 2.4646 data_time: 0.1511 memory: 25727 grad_norm: 1.1510 loss: 1.2936 grounding_loss_reg: 3.1102 detection_loss_cls: 0.0457 detection_loss_reg: 0.4332 caption_loss_cls: 2.3306 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7533 semantic_segmentation_loss_cls: 0.0109 2023/10/28 00:02:45 - mmengine - INFO - Saving checkpoint at 278500 iterations 2023/10/28 00:07:41 - mmengine - INFO - Iter(train) [278600/480000] base_lr: 7.6255e-05 lr: 2.1251e-05 eta: 5 days, 14:11:01 time: 2.4645 data_time: 0.1510 memory: 26565 grad_norm: 1.1606 loss: 1.2991 grounding_loss_reg: 3.1080 detection_loss_cls: 0.0457 detection_loss_reg: 0.4334 caption_loss_cls: 2.3337 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7541 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:11:42 - mmengine - INFO - Iter(train) [278700/480000] base_lr: 7.6192e-05 lr: 2.1235e-05 eta: 5 days, 14:07:12 time: 2.4667 data_time: 0.1510 memory: 26565 grad_norm: 1.1570 loss: 1.2932 grounding_loss_reg: 3.1068 detection_loss_cls: 0.0459 detection_loss_reg: 0.4342 caption_loss_cls: 2.3328 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:15:16 - mmengine - INFO - Iter(train) [278800/480000] base_lr: 7.6129e-05 lr: 2.1219e-05 eta: 5 days, 13:59:26 time: 2.4672 data_time: 0.1510 memory: 26565 grad_norm: 1.1532 loss: 1.2941 grounding_loss_reg: 3.1062 detection_loss_cls: 0.0458 detection_loss_reg: 0.4334 caption_loss_cls: 2.3324 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7519 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:19:07 - mmengine - INFO - Iter(train) [278900/480000] base_lr: 7.6067e-05 lr: 2.1202e-05 eta: 5 days, 13:54:17 time: 2.4710 data_time: 0.1509 memory: 25727 grad_norm: 1.1583 loss: 1.2973 grounding_loss_reg: 3.1047 detection_loss_cls: 0.0459 detection_loss_reg: 0.4329 caption_loss_cls: 2.3315 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:23:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 00:23:24 - mmengine - INFO - Iter(train) [279000/480000] base_lr: 7.6004e-05 lr: 2.1186e-05 eta: 5 days, 13:52:41 time: 2.4802 data_time: 0.1510 memory: 26565 grad_norm: 1.1610 loss: 1.3009 grounding_loss_reg: 3.1041 detection_loss_cls: 0.0460 detection_loss_reg: 0.4325 caption_loss_cls: 2.3289 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7506 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:23:24 - mmengine - INFO - Saving checkpoint at 279000 iterations 2023/10/28 00:28:29 - mmengine - INFO - Iter(train) [279100/480000] base_lr: 7.5941e-05 lr: 2.1170e-05 eta: 5 days, 13:57:45 time: 2.4790 data_time: 0.1518 memory: 26565 grad_norm: 1.1553 loss: 1.2953 grounding_loss_reg: 3.1032 detection_loss_cls: 0.0461 detection_loss_reg: 0.4328 caption_loss_cls: 2.3275 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7507 semantic_segmentation_loss_cls: 0.0109 2023/10/28 00:32:01 - mmengine - INFO - Iter(train) [279200/480000] base_lr: 7.5879e-05 lr: 2.1154e-05 eta: 5 days, 13:49:48 time: 2.4244 data_time: 0.1507 memory: 26565 grad_norm: 1.1630 loss: 1.2996 grounding_loss_reg: 3.1013 detection_loss_cls: 0.0462 detection_loss_reg: 0.4326 caption_loss_cls: 2.3265 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7525 semantic_segmentation_loss_cls: 0.0109 2023/10/28 00:35:32 - mmengine - INFO - Iter(train) [279300/480000] base_lr: 7.5816e-05 lr: 2.1137e-05 eta: 5 days, 13:41:55 time: 2.4226 data_time: 0.1497 memory: 25727 grad_norm: 1.1642 loss: 1.3005 grounding_loss_reg: 3.0996 detection_loss_cls: 0.0461 detection_loss_reg: 0.4325 caption_loss_cls: 2.3242 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0109 2023/10/28 00:39:22 - mmengine - INFO - Iter(train) [279400/480000] base_lr: 7.5753e-05 lr: 2.1121e-05 eta: 5 days, 13:36:26 time: 2.4226 data_time: 0.1497 memory: 25727 grad_norm: 1.1672 loss: 1.2986 grounding_loss_reg: 3.1002 detection_loss_cls: 0.0459 detection_loss_reg: 0.4324 caption_loss_cls: 2.3247 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:43:12 - mmengine - INFO - Iter(train) [279500/480000] base_lr: 7.5691e-05 lr: 2.1105e-05 eta: 5 days, 13:31:08 time: 2.4261 data_time: 0.1499 memory: 26565 grad_norm: 1.1633 loss: 1.2895 grounding_loss_reg: 3.0993 detection_loss_cls: 0.0459 detection_loss_reg: 0.4323 caption_loss_cls: 2.3209 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7524 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:43:12 - mmengine - INFO - Saving checkpoint at 279500 iterations 2023/10/28 00:48:07 - mmengine - INFO - Iter(train) [279600/480000] base_lr: 7.5628e-05 lr: 2.1089e-05 eta: 5 days, 13:34:44 time: 2.4287 data_time: 0.1497 memory: 25727 grad_norm: 1.1628 loss: 1.2856 grounding_loss_reg: 3.0985 detection_loss_cls: 0.0458 detection_loss_reg: 0.4322 caption_loss_cls: 2.3203 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7512 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:51:49 - mmengine - INFO - Iter(train) [279700/480000] base_lr: 7.5565e-05 lr: 2.1072e-05 eta: 5 days, 13:28:10 time: 2.4296 data_time: 0.1497 memory: 26565 grad_norm: 1.1652 loss: 1.2870 grounding_loss_reg: 3.0973 detection_loss_cls: 0.0457 detection_loss_reg: 0.4310 caption_loss_cls: 2.3241 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7502 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:54:57 - mmengine - INFO - Iter(train) [279800/480000] base_lr: 7.5503e-05 lr: 2.1056e-05 eta: 5 days, 13:17:15 time: 2.4164 data_time: 0.1497 memory: 26565 grad_norm: 1.1667 loss: 1.2866 grounding_loss_reg: 3.0978 detection_loss_cls: 0.0457 detection_loss_reg: 0.4314 caption_loss_cls: 2.3220 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7493 semantic_segmentation_loss_cls: 0.0108 2023/10/28 00:58:11 - mmengine - INFO - Iter(train) [279900/480000] base_lr: 7.5440e-05 lr: 2.1040e-05 eta: 5 days, 13:07:04 time: 2.4062 data_time: 0.1498 memory: 26565 grad_norm: 1.1708 loss: 1.2917 grounding_loss_reg: 3.0937 detection_loss_cls: 0.0455 detection_loss_reg: 0.4311 caption_loss_cls: 2.3253 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7512 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:01:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 01:01:44 - mmengine - INFO - Iter(train) [280000/480000] base_lr: 7.5378e-05 lr: 2.1024e-05 eta: 5 days, 12:59:40 time: 2.4052 data_time: 0.1498 memory: 25727 grad_norm: 1.1709 loss: 1.2910 grounding_loss_reg: 3.0936 detection_loss_cls: 0.0455 detection_loss_reg: 0.4310 caption_loss_cls: 2.3244 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:01:45 - mmengine - INFO - Saving checkpoint at 280000 iterations 2023/10/28 01:07:37 - mmengine - INFO - Evaluating bbox... 2023/10/28 01:08:39 - mmengine - INFO - bbox_mAP_copypaste: 0.501 0.680 0.548 0.352 0.549 0.640 2023/10/28 01:08:39 - mmengine - INFO - Evaluating segm... 2023/10/28 01:09:56 - mmengine - INFO - segm_mAP_copypaste: 0.330 0.589 0.324 0.185 0.379 0.511 2023/10/28 01:11:19 - mmengine - INFO - Evaluating bbox... 2023/10/28 01:12:24 - mmengine - INFO - bbox_mAP_copypaste: 0.502 0.681 0.549 0.350 0.551 0.643 2023/10/28 01:15:26 - mmengine - INFO - per class results: 2023/10/28 01:15:26 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.99 | 90.9 | | building | 82.72 | 92.88 | | sky | 92.74 | 97.88 | | floor | 81.06 | 90.88 | | tree | 73.05 | 85.76 | | ceiling | 83.81 | 91.75 | | road | 85.16 | 90.97 | | bed | 87.69 | 95.54 | | windowpane | 61.74 | 77.28 | | grass | 68.94 | 82.23 | | cabinet | 61.0 | 72.0 | | sidewalk | 66.88 | 78.58 | | person | 79.12 | 88.76 | | earth | 43.2 | 59.75 | | door | 52.27 | 65.49 | | table | 61.61 | 75.41 | | mountain | 61.13 | 74.73 | | plant | 52.24 | 62.12 | | curtain | 72.21 | 84.93 | | chair | 54.09 | 64.75 | | car | 82.16 | 90.43 | | water | 59.91 | 79.96 | | painting | 67.27 | 85.12 | | sofa | 70.06 | 86.33 | | shelf | 40.03 | 54.2 | | house | 38.82 | 48.37 | | sea | 62.02 | 77.0 | | mirror | 68.03 | 74.65 | | rug | 61.64 | 69.64 | | field | 27.63 | 49.11 | | armchair | 44.36 | 58.89 | | seat | 65.66 | 81.07 | | fence | 45.8 | 56.87 | | desk | 47.27 | 70.56 | | rock | 39.6 | 48.03 | | wardrobe | 53.38 | 69.28 | | lamp | 59.47 | 72.21 | | bathtub | 78.0 | 86.11 | | railing | 37.97 | 51.22 | | cushion | 54.38 | 64.83 | | base | 26.37 | 42.41 | | box | 25.02 | 29.11 | | column | 47.38 | 54.99 | | signboard | 39.29 | 52.47 | | chest of drawers | 34.23 | 49.45 | | counter | 29.26 | 38.74 | | sand | 57.8 | 68.91 | | sink | 72.25 | 82.83 | | skyscraper | 49.59 | 61.21 | | fireplace | 66.56 | 80.6 | | refrigerator | 71.45 | 80.49 | | grandstand | 53.25 | 67.12 | | path | 26.32 | 33.5 | | stairs | 37.78 | 58.83 | | runway | 72.79 | 91.24 | | case | 54.18 | 68.76 | | pool table | 85.81 | 93.7 | | pillow | 49.87 | 64.12 | | screen door | 70.48 | 77.81 | | stairway | 34.54 | 39.6 | | river | 16.61 | 27.28 | | bridge | 51.89 | 61.54 | | bookcase | 33.16 | 57.9 | | blind | 35.35 | 39.91 | | coffee table | 59.36 | 76.68 | | toilet | 86.36 | 89.75 | | flower | 28.22 | 40.27 | | book | 43.46 | 61.98 | | hill | 9.52 | 24.22 | | bench | 54.4 | 71.86 | | countertop | 56.91 | 63.79 | | stove | 67.95 | 84.99 | | palm | 48.19 | 59.66 | | kitchen island | 40.08 | 74.09 | | computer | 73.02 | 84.14 | | swivel chair | 41.91 | 49.23 | | boat | 68.03 | 78.33 | | bar | 35.94 | 48.17 | | arcade machine | 70.39 | 72.66 | | hovel | 38.59 | 42.19 | | bus | 91.1 | 94.31 | | towel | 59.25 | 66.99 | | light | 45.0 | 51.35 | | truck | 41.25 | 68.31 | | tower | 40.42 | 59.96 | | chandelier | 58.94 | 69.61 | | awning | 27.26 | 30.94 | | streetlight | 24.09 | 30.04 | | booth | 37.22 | 38.44 | | television receiver | 67.86 | 77.19 | | airplane | 61.11 | 67.13 | | dirt track | 10.4 | 26.0 | | apparel | 27.83 | 34.25 | | pole | 18.92 | 21.63 | | land | 1.92 | 2.18 | | bannister | 9.24 | 11.28 | | escalator | 46.68 | 61.12 | | ottoman | 46.69 | 62.55 | | bottle | 27.23 | 31.34 | | buffet | 50.91 | 58.37 | | poster | 27.2 | 38.81 | | stage | 10.25 | 14.79 | | van | 34.37 | 41.21 | | ship | 14.33 | 16.71 | | fountain | 29.71 | 31.28 | | conveyer belt | 67.93 | 81.1 | | canopy | 27.54 | 31.93 | | washer | 59.0 | 59.08 | | plaything | 23.64 | 27.56 | | swimming pool | 80.26 | 85.59 | | stool | 37.46 | 46.03 | | barrel | 31.8 | 66.97 | | basket | 31.68 | 42.12 | | waterfall | 45.19 | 50.55 | | tent | 92.93 | 96.32 | | bag | 16.02 | 17.3 | | minibike | 72.82 | 82.91 | | cradle | 72.93 | 88.11 | | oven | 27.23 | 36.41 | | ball | 51.67 | 67.23 | | food | 52.01 | 63.41 | | step | 4.05 | 4.34 | | tank | 40.69 | 57.09 | | trade name | 30.82 | 38.23 | | microwave | 86.18 | 90.7 | | pot | 46.18 | 53.62 | | animal | 62.03 | 65.45 | | bicycle | 56.82 | 84.34 | | lake | 18.68 | 25.28 | | dishwasher | 53.72 | 57.64 | | screen | 76.46 | 80.53 | | blanket | 9.94 | 11.22 | | sculpture | 71.57 | 79.15 | | hood | 55.93 | 65.63 | | sconce | 35.38 | 40.58 | | vase | 42.5 | 52.9 | | traffic light | 30.43 | 36.32 | | tray | 12.91 | 19.52 | | ashcan | 43.64 | 54.65 | | fan | 57.82 | 69.71 | | pier | 31.6 | 34.01 | | crt screen | 6.13 | 10.13 | | plate | 50.68 | 57.23 | | monitor | 4.82 | 5.24 | | bulletin board | 36.15 | 40.02 | | shower | 0.78 | 0.87 | | radiator | 55.03 | 58.94 | | glass | 15.79 | 17.05 | | clock | 26.12 | 32.52 | | flag | 52.73 | 54.79 | +---------------------+-------+-------+ 2023/10/28 01:15:49 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:27 time: 1.2603 data_time: 0.0246 memory: 27846 2023/10/28 01:16:52 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5020 coco/bbox_mAP_50: 0.6810 coco/bbox_mAP_75: 0.5490 coco/bbox_mAP_s: 0.3500 coco/bbox_mAP_m: 0.5510 coco/bbox_mAP_l: 0.6430 coco/segm_mAP: 0.3300 coco/segm_mAP_50: 0.5890 coco/segm_mAP_75: 0.3240 coco/segm_mAP_s: 0.1850 coco/segm_mAP_m: 0.3790 coco/segm_mAP_l: 0.5110 Bleu_1: 0.7622 Bleu_2: 0.5953 Bleu_3: 0.4542 Bleu_4: 0.3450 METEOR: 0.2807 ROUGE_L: 0.5656 CIDEr: 1.1374 SPICE: 0.2093 aAcc: 83.1700 mIoU: 48.5300 mAcc: 58.5800 visual-grounding/miou: 0.7504 visual-grounding/acc: 0.8255 data_time: 0.0012 time: 0.2326 2023/10/28 01:20:30 - mmengine - INFO - Iter(train) [280100/480000] base_lr: 7.5315e-05 lr: 2.1008e-05 eta: 5 days, 12:58:58 time: 2.4031 data_time: 0.1448 memory: 25727 grad_norm: 1.1671 loss: 1.2820 grounding_loss_reg: 3.0934 detection_loss_cls: 0.0454 detection_loss_reg: 0.4305 caption_loss_cls: 2.3242 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7493 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:23:48 - mmengine - INFO - Iter(train) [280200/480000] base_lr: 7.5252e-05 lr: 2.0991e-05 eta: 5 days, 12:49:28 time: 2.4022 data_time: 0.1448 memory: 25727 grad_norm: 1.1663 loss: 1.2755 grounding_loss_reg: 3.0925 detection_loss_cls: 0.0455 detection_loss_reg: 0.4305 caption_loss_cls: 2.3205 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7491 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:27:14 - mmengine - INFO - Iter(train) [280300/480000] base_lr: 7.5190e-05 lr: 2.0975e-05 eta: 5 days, 12:41:08 time: 2.3980 data_time: 0.1447 memory: 25727 grad_norm: 1.1766 loss: 1.2790 grounding_loss_reg: 3.0894 detection_loss_cls: 0.0455 detection_loss_reg: 0.4308 caption_loss_cls: 2.3164 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7490 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:30:56 - mmengine - INFO - Iter(train) [280400/480000] base_lr: 7.5127e-05 lr: 2.0959e-05 eta: 5 days, 12:34:54 time: 2.3949 data_time: 0.1448 memory: 26565 grad_norm: 1.1839 loss: 1.2851 grounding_loss_reg: 3.0887 detection_loss_cls: 0.0456 detection_loss_reg: 0.4312 caption_loss_cls: 2.3109 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7475 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:34:22 - mmengine - INFO - Iter(train) [280500/480000] base_lr: 7.5065e-05 lr: 2.0943e-05 eta: 5 days, 12:26:35 time: 2.3887 data_time: 0.1447 memory: 26565 grad_norm: 1.1824 loss: 1.2821 grounding_loss_reg: 3.0879 detection_loss_cls: 0.0457 detection_loss_reg: 0.4321 caption_loss_cls: 2.3087 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7460 semantic_segmentation_loss_cls: 0.0109 2023/10/28 01:34:22 - mmengine - INFO - Saving checkpoint at 280500 iterations 2023/10/28 01:39:01 - mmengine - INFO - Iter(train) [280600/480000] base_lr: 7.5002e-05 lr: 2.0926e-05 eta: 5 days, 12:27:50 time: 2.3847 data_time: 0.1447 memory: 26565 grad_norm: 1.1821 loss: 1.2799 grounding_loss_reg: 3.0865 detection_loss_cls: 0.0458 detection_loss_reg: 0.4324 caption_loss_cls: 2.3079 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7453 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:42:38 - mmengine - INFO - Iter(train) [280700/480000] base_lr: 7.4940e-05 lr: 2.0910e-05 eta: 5 days, 12:20:55 time: 2.3817 data_time: 0.1446 memory: 25727 grad_norm: 1.1838 loss: 1.2785 grounding_loss_reg: 3.0858 detection_loss_cls: 0.0458 detection_loss_reg: 0.4324 caption_loss_cls: 2.3051 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7447 semantic_segmentation_loss_cls: 0.0109 2023/10/28 01:46:23 - mmengine - INFO - Iter(train) [280800/480000] base_lr: 7.4877e-05 lr: 2.0894e-05 eta: 5 days, 12:15:09 time: 2.3837 data_time: 0.1445 memory: 26565 grad_norm: 1.1850 loss: 1.2738 grounding_loss_reg: 3.0844 detection_loss_cls: 0.0460 detection_loss_reg: 0.4330 caption_loss_cls: 2.3056 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7449 semantic_segmentation_loss_cls: 0.0108 2023/10/28 01:49:57 - mmengine - INFO - Iter(train) [280900/480000] base_lr: 7.4815e-05 lr: 2.0878e-05 eta: 5 days, 12:07:57 time: 2.3794 data_time: 0.1445 memory: 25727 grad_norm: 1.1874 loss: 1.2800 grounding_loss_reg: 3.0853 detection_loss_cls: 0.0459 detection_loss_reg: 0.4323 caption_loss_cls: 2.3073 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7449 semantic_segmentation_loss_cls: 0.0109 2023/10/28 01:53:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 01:53:42 - mmengine - INFO - Iter(train) [281000/480000] base_lr: 7.4752e-05 lr: 2.0862e-05 eta: 5 days, 12:02:07 time: 2.3809 data_time: 0.1445 memory: 26565 grad_norm: 1.1844 loss: 1.2772 grounding_loss_reg: 3.0843 detection_loss_cls: 0.0459 detection_loss_reg: 0.4324 caption_loss_cls: 2.3048 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7450 semantic_segmentation_loss_cls: 0.0109 2023/10/28 01:53:42 - mmengine - INFO - Saving checkpoint at 281000 iterations 2023/10/28 01:58:36 - mmengine - INFO - Iter(train) [281100/480000] base_lr: 7.4690e-05 lr: 2.0845e-05 eta: 5 days, 12:05:13 time: 2.3820 data_time: 0.1440 memory: 25727 grad_norm: 1.1839 loss: 1.2753 grounding_loss_reg: 3.0841 detection_loss_cls: 0.0458 detection_loss_reg: 0.4315 caption_loss_cls: 2.3043 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7461 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:01:55 - mmengine - INFO - Iter(train) [281200/480000] base_lr: 7.4627e-05 lr: 2.0829e-05 eta: 5 days, 11:56:06 time: 2.3725 data_time: 0.1439 memory: 25727 grad_norm: 1.1986 loss: 1.2914 grounding_loss_reg: 3.0820 detection_loss_cls: 0.0458 detection_loss_reg: 0.4311 caption_loss_cls: 2.3087 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7458 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:05:21 - mmengine - INFO - Iter(train) [281300/480000] base_lr: 7.4565e-05 lr: 2.0813e-05 eta: 5 days, 11:47:59 time: 2.3614 data_time: 0.1438 memory: 26565 grad_norm: 1.2075 loss: 1.2956 grounding_loss_reg: 3.0807 detection_loss_cls: 0.0458 detection_loss_reg: 0.4307 caption_loss_cls: 2.3108 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7459 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:09:23 - mmengine - INFO - Iter(train) [281400/480000] base_lr: 7.4502e-05 lr: 2.0797e-05 eta: 5 days, 11:44:24 time: 2.3275 data_time: 0.1398 memory: 26565 grad_norm: 1.2019 loss: 1.2948 grounding_loss_reg: 3.0778 detection_loss_cls: 0.0459 detection_loss_reg: 0.4310 caption_loss_cls: 2.3094 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7462 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:12:56 - mmengine - INFO - Iter(train) [281500/480000] base_lr: 7.4440e-05 lr: 2.0781e-05 eta: 5 days, 11:37:13 time: 2.3147 data_time: 0.1398 memory: 26565 grad_norm: 1.2028 loss: 1.2964 grounding_loss_reg: 3.0766 detection_loss_cls: 0.0458 detection_loss_reg: 0.4302 caption_loss_cls: 2.3114 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7465 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:12:56 - mmengine - INFO - Saving checkpoint at 281500 iterations 2023/10/28 02:18:54 - mmengine - INFO - Iter(train) [281600/480000] base_lr: 7.4378e-05 lr: 2.0765e-05 eta: 5 days, 11:48:04 time: 2.3331 data_time: 0.1394 memory: 26565 grad_norm: 1.2015 loss: 1.2949 grounding_loss_reg: 3.0779 detection_loss_cls: 0.0458 detection_loss_reg: 0.4302 caption_loss_cls: 2.3128 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7452 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:22:39 - mmengine - INFO - Iter(train) [281700/480000] base_lr: 7.4315e-05 lr: 2.0748e-05 eta: 5 days, 11:42:17 time: 2.3393 data_time: 0.1395 memory: 26565 grad_norm: 1.2061 loss: 1.2996 grounding_loss_reg: 3.0770 detection_loss_cls: 0.0458 detection_loss_reg: 0.4302 caption_loss_cls: 2.3131 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7462 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:26:25 - mmengine - INFO - Iter(train) [281800/480000] base_lr: 7.4253e-05 lr: 2.0732e-05 eta: 5 days, 11:36:39 time: 2.3393 data_time: 0.1395 memory: 26565 grad_norm: 1.2090 loss: 1.3062 grounding_loss_reg: 3.0763 detection_loss_cls: 0.0456 detection_loss_reg: 0.4289 caption_loss_cls: 2.3163 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7458 semantic_segmentation_loss_cls: 0.0108 2023/10/28 02:30:14 - mmengine - INFO - Iter(train) [281900/480000] base_lr: 7.4190e-05 lr: 2.0716e-05 eta: 5 days, 11:31:26 time: 2.3393 data_time: 0.1394 memory: 25727 grad_norm: 1.2069 loss: 1.3062 grounding_loss_reg: 3.0770 detection_loss_cls: 0.0456 detection_loss_reg: 0.4290 caption_loss_cls: 2.3142 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7456 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:34:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 02:34:01 - mmengine - INFO - Iter(train) [282000/480000] base_lr: 7.4128e-05 lr: 2.0700e-05 eta: 5 days, 11:25:59 time: 2.3411 data_time: 0.1394 memory: 26565 grad_norm: 1.2077 loss: 1.3048 grounding_loss_reg: 3.0747 detection_loss_cls: 0.0455 detection_loss_reg: 0.4289 caption_loss_cls: 2.3144 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.7468 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:34:01 - mmengine - INFO - Saving checkpoint at 282000 iterations 2023/10/28 02:39:02 - mmengine - INFO - Iter(train) [282100/480000] base_lr: 7.4066e-05 lr: 2.0684e-05 eta: 5 days, 11:29:34 time: 2.3485 data_time: 0.1393 memory: 26565 grad_norm: 1.2019 loss: 1.3060 grounding_loss_reg: 3.0745 detection_loss_cls: 0.0455 detection_loss_reg: 0.4292 caption_loss_cls: 2.3114 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7462 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:42:27 - mmengine - INFO - Iter(train) [282200/480000] base_lr: 7.4003e-05 lr: 2.0668e-05 eta: 5 days, 11:21:22 time: 2.3441 data_time: 0.1393 memory: 26565 grad_norm: 1.1993 loss: 1.3069 grounding_loss_reg: 3.0743 detection_loss_cls: 0.0453 detection_loss_reg: 0.4282 caption_loss_cls: 2.3066 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7453 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:46:16 - mmengine - INFO - Iter(train) [282300/480000] base_lr: 7.3941e-05 lr: 2.0651e-05 eta: 5 days, 11:16:16 time: 2.3466 data_time: 0.1391 memory: 25727 grad_norm: 1.1933 loss: 1.3008 grounding_loss_reg: 3.0747 detection_loss_cls: 0.0454 detection_loss_reg: 0.4295 caption_loss_cls: 2.3073 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7444 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:50:11 - mmengine - INFO - Iter(train) [282400/480000] base_lr: 7.3879e-05 lr: 2.0635e-05 eta: 5 days, 11:11:47 time: 2.3546 data_time: 0.1392 memory: 26565 grad_norm: 1.1952 loss: 1.3101 grounding_loss_reg: 3.0753 detection_loss_cls: 0.0453 detection_loss_reg: 0.4290 caption_loss_cls: 2.3079 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7470 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:54:09 - mmengine - INFO - Iter(train) [282500/480000] base_lr: 7.3816e-05 lr: 2.0619e-05 eta: 5 days, 11:07:37 time: 2.3553 data_time: 0.1393 memory: 26565 grad_norm: 1.1993 loss: 1.3159 grounding_loss_reg: 3.0780 detection_loss_cls: 0.0452 detection_loss_reg: 0.4288 caption_loss_cls: 2.3084 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7471 semantic_segmentation_loss_cls: 0.0107 2023/10/28 02:54:09 - mmengine - INFO - Saving checkpoint at 282500 iterations 2023/10/28 03:00:32 - mmengine - INFO - Iter(train) [282600/480000] base_lr: 7.3754e-05 lr: 2.0603e-05 eta: 5 days, 11:20:44 time: 2.3768 data_time: 0.1445 memory: 26565 grad_norm: 1.1989 loss: 1.3143 grounding_loss_reg: 3.0788 detection_loss_cls: 0.0451 detection_loss_reg: 0.4288 caption_loss_cls: 2.3104 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7471 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:04:01 - mmengine - INFO - Iter(train) [282700/480000] base_lr: 7.3692e-05 lr: 2.0587e-05 eta: 5 days, 11:13:08 time: 2.3687 data_time: 0.1445 memory: 26565 grad_norm: 1.2066 loss: 1.3198 grounding_loss_reg: 3.0764 detection_loss_cls: 0.0453 detection_loss_reg: 0.4288 caption_loss_cls: 2.3118 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7472 semantic_segmentation_loss_cls: 0.0108 2023/10/28 03:07:30 - mmengine - INFO - Iter(train) [282800/480000] base_lr: 7.3629e-05 lr: 2.0571e-05 eta: 5 days, 11:05:34 time: 2.3678 data_time: 0.1444 memory: 25727 grad_norm: 1.2132 loss: 1.3204 grounding_loss_reg: 3.0761 detection_loss_cls: 0.0453 detection_loss_reg: 0.4286 caption_loss_cls: 2.3113 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7481 semantic_segmentation_loss_cls: 0.0108 2023/10/28 03:10:57 - mmengine - INFO - Iter(train) [282900/480000] base_lr: 7.3567e-05 lr: 2.0554e-05 eta: 5 days, 10:57:47 time: 2.3616 data_time: 0.1445 memory: 26565 grad_norm: 1.2131 loss: 1.3200 grounding_loss_reg: 3.0776 detection_loss_cls: 0.0454 detection_loss_reg: 0.4293 caption_loss_cls: 2.3069 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7467 semantic_segmentation_loss_cls: 0.0108 2023/10/28 03:14:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 03:14:56 - mmengine - INFO - Iter(train) [283000/480000] base_lr: 7.3505e-05 lr: 2.0538e-05 eta: 5 days, 10:53:48 time: 2.3572 data_time: 0.1445 memory: 26565 grad_norm: 1.2154 loss: 1.3229 grounding_loss_reg: 3.0756 detection_loss_cls: 0.0454 detection_loss_reg: 0.4301 caption_loss_cls: 2.3087 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7459 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:14:56 - mmengine - INFO - Saving checkpoint at 283000 iterations 2023/10/28 03:20:05 - mmengine - INFO - Iter(train) [283100/480000] base_lr: 7.3443e-05 lr: 2.0522e-05 eta: 5 days, 10:57:59 time: 2.3583 data_time: 0.1442 memory: 26565 grad_norm: 1.2124 loss: 1.3225 grounding_loss_reg: 3.0752 detection_loss_cls: 0.0455 detection_loss_reg: 0.4305 caption_loss_cls: 2.3076 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.7451 semantic_segmentation_loss_cls: 0.0108 2023/10/28 03:23:33 - mmengine - INFO - Iter(train) [283200/480000] base_lr: 7.3381e-05 lr: 2.0506e-05 eta: 5 days, 10:50:18 time: 2.3573 data_time: 0.1442 memory: 25727 grad_norm: 1.2100 loss: 1.3207 grounding_loss_reg: 3.0748 detection_loss_cls: 0.0456 detection_loss_reg: 0.4315 caption_loss_cls: 2.3094 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7446 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:27:18 - mmengine - INFO - Iter(train) [283300/480000] base_lr: 7.3318e-05 lr: 2.0490e-05 eta: 5 days, 10:44:39 time: 2.3607 data_time: 0.1442 memory: 25727 grad_norm: 1.2113 loss: 1.3223 grounding_loss_reg: 3.0750 detection_loss_cls: 0.0455 detection_loss_reg: 0.4312 caption_loss_cls: 2.3069 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7437 semantic_segmentation_loss_cls: 0.0108 2023/10/28 03:31:10 - mmengine - INFO - Iter(train) [283400/480000] base_lr: 7.3256e-05 lr: 2.0474e-05 eta: 5 days, 10:39:43 time: 2.3612 data_time: 0.1442 memory: 26565 grad_norm: 1.2068 loss: 1.3179 grounding_loss_reg: 3.0730 detection_loss_cls: 0.0456 detection_loss_reg: 0.4312 caption_loss_cls: 2.3078 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7444 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:35:04 - mmengine - INFO - Iter(train) [283500/480000] base_lr: 7.3194e-05 lr: 2.0458e-05 eta: 5 days, 10:35:09 time: 2.3622 data_time: 0.1441 memory: 25727 grad_norm: 1.2094 loss: 1.3240 grounding_loss_reg: 3.0745 detection_loss_cls: 0.0454 detection_loss_reg: 0.4302 caption_loss_cls: 2.3117 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7471 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:35:04 - mmengine - INFO - Saving checkpoint at 283500 iterations 2023/10/28 03:40:19 - mmengine - INFO - Iter(train) [283600/480000] base_lr: 7.3132e-05 lr: 2.0442e-05 eta: 5 days, 10:39:54 time: 2.3672 data_time: 0.1443 memory: 26565 grad_norm: 1.2078 loss: 1.3257 grounding_loss_reg: 3.0731 detection_loss_cls: 0.0456 detection_loss_reg: 0.4304 caption_loss_cls: 2.3084 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7490 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:44:25 - mmengine - INFO - Iter(train) [283700/480000] base_lr: 7.3070e-05 lr: 2.0425e-05 eta: 5 days, 10:36:33 time: 2.3732 data_time: 0.1444 memory: 26565 grad_norm: 1.2094 loss: 1.3306 grounding_loss_reg: 3.0728 detection_loss_cls: 0.0456 detection_loss_reg: 0.4299 caption_loss_cls: 2.3115 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7468 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:49:28 - mmengine - INFO - Iter(train) [283800/480000] base_lr: 7.3007e-05 lr: 2.0409e-05 eta: 5 days, 10:39:51 time: 2.4020 data_time: 0.1511 memory: 25727 grad_norm: 1.2074 loss: 1.3322 grounding_loss_reg: 3.0737 detection_loss_cls: 0.0456 detection_loss_reg: 0.4296 caption_loss_cls: 2.3128 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7462 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:53:05 - mmengine - INFO - Iter(train) [283900/480000] base_lr: 7.2945e-05 lr: 2.0393e-05 eta: 5 days, 10:33:11 time: 2.4077 data_time: 0.1510 memory: 25727 grad_norm: 1.2029 loss: 1.3257 grounding_loss_reg: 3.0746 detection_loss_cls: 0.0455 detection_loss_reg: 0.4287 caption_loss_cls: 2.3122 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7469 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:56:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 03:56:43 - mmengine - INFO - Iter(train) [284000/480000] base_lr: 7.2883e-05 lr: 2.0377e-05 eta: 5 days, 10:26:49 time: 2.4089 data_time: 0.1510 memory: 25727 grad_norm: 1.2022 loss: 1.3325 grounding_loss_reg: 3.0724 detection_loss_cls: 0.0456 detection_loss_reg: 0.4290 caption_loss_cls: 2.3158 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7476 semantic_segmentation_loss_cls: 0.0107 2023/10/28 03:56:43 - mmengine - INFO - Saving checkpoint at 284000 iterations 2023/10/28 04:01:42 - mmengine - INFO - Iter(train) [284100/480000] base_lr: 7.2821e-05 lr: 2.0361e-05 eta: 5 days, 10:29:26 time: 2.4174 data_time: 0.1556 memory: 26565 grad_norm: 1.2005 loss: 1.3321 grounding_loss_reg: 3.0719 detection_loss_cls: 0.0457 detection_loss_reg: 0.4291 caption_loss_cls: 2.3159 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7477 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:05:34 - mmengine - INFO - Iter(train) [284200/480000] base_lr: 7.2759e-05 lr: 2.0345e-05 eta: 5 days, 10:24:34 time: 2.4260 data_time: 0.1556 memory: 25727 grad_norm: 1.1952 loss: 1.3328 grounding_loss_reg: 3.0697 detection_loss_cls: 0.0457 detection_loss_reg: 0.4293 caption_loss_cls: 2.3139 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7470 semantic_segmentation_loss_cls: 0.0108 2023/10/28 04:09:26 - mmengine - INFO - Iter(train) [284300/480000] base_lr: 7.2697e-05 lr: 2.0329e-05 eta: 5 days, 10:19:44 time: 2.4325 data_time: 0.1557 memory: 25727 grad_norm: 1.1895 loss: 1.3300 grounding_loss_reg: 3.0708 detection_loss_cls: 0.0458 detection_loss_reg: 0.4300 caption_loss_cls: 2.3126 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7471 semantic_segmentation_loss_cls: 0.0108 2023/10/28 04:13:34 - mmengine - INFO - Iter(train) [284400/480000] base_lr: 7.2635e-05 lr: 2.0313e-05 eta: 5 days, 10:16:39 time: 2.4390 data_time: 0.1556 memory: 26565 grad_norm: 1.1821 loss: 1.3188 grounding_loss_reg: 3.0720 detection_loss_cls: 0.0459 detection_loss_reg: 0.4306 caption_loss_cls: 2.3129 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7471 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:16:56 - mmengine - INFO - Iter(train) [284500/480000] base_lr: 7.2573e-05 lr: 2.0297e-05 eta: 5 days, 10:08:27 time: 2.4379 data_time: 0.1557 memory: 25727 grad_norm: 1.1872 loss: 1.3231 grounding_loss_reg: 3.0730 detection_loss_cls: 0.0459 detection_loss_reg: 0.4311 caption_loss_cls: 2.3118 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7467 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:16:56 - mmengine - INFO - Saving checkpoint at 284500 iterations 2023/10/28 04:22:07 - mmengine - INFO - Iter(train) [284600/480000] base_lr: 7.2511e-05 lr: 2.0281e-05 eta: 5 days, 10:12:19 time: 2.4459 data_time: 0.1553 memory: 25727 grad_norm: 1.1835 loss: 1.3188 grounding_loss_reg: 3.0722 detection_loss_cls: 0.0459 detection_loss_reg: 0.4310 caption_loss_cls: 2.3134 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7449 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:25:22 - mmengine - INFO - Iter(train) [284700/480000] base_lr: 7.2449e-05 lr: 2.0264e-05 eta: 5 days, 10:03:24 time: 2.4405 data_time: 0.1553 memory: 25727 grad_norm: 1.1916 loss: 1.3265 grounding_loss_reg: 3.0710 detection_loss_cls: 0.0460 detection_loss_reg: 0.4307 caption_loss_cls: 2.3131 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7457 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:29:17 - mmengine - INFO - Iter(train) [284800/480000] base_lr: 7.2386e-05 lr: 2.0248e-05 eta: 5 days, 9:58:53 time: 2.4429 data_time: 0.1554 memory: 25727 grad_norm: 1.1854 loss: 1.3224 grounding_loss_reg: 3.0707 detection_loss_cls: 0.0461 detection_loss_reg: 0.4322 caption_loss_cls: 2.3122 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7446 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:33:03 - mmengine - INFO - Iter(train) [284900/480000] base_lr: 7.2324e-05 lr: 2.0232e-05 eta: 5 days, 9:53:23 time: 2.4459 data_time: 0.1554 memory: 25727 grad_norm: 1.1825 loss: 1.3244 grounding_loss_reg: 3.0702 detection_loss_cls: 0.0461 detection_loss_reg: 0.4323 caption_loss_cls: 2.3171 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7454 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:36:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 04:36:35 - mmengine - INFO - Iter(train) [285000/480000] base_lr: 7.2262e-05 lr: 2.0216e-05 eta: 5 days, 9:46:25 time: 2.4429 data_time: 0.1553 memory: 26565 grad_norm: 1.1831 loss: 1.3235 grounding_loss_reg: 3.0681 detection_loss_cls: 0.0461 detection_loss_reg: 0.4324 caption_loss_cls: 2.3183 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7464 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:36:35 - mmengine - INFO - Saving checkpoint at 285000 iterations 2023/10/28 04:41:02 - mmengine - INFO - Iter(train) [285100/480000] base_lr: 7.2200e-05 lr: 2.0200e-05 eta: 5 days, 9:45:19 time: 2.4359 data_time: 0.1559 memory: 26565 grad_norm: 1.1911 loss: 1.3274 grounding_loss_reg: 3.0683 detection_loss_cls: 0.0461 detection_loss_reg: 0.4321 caption_loss_cls: 2.3211 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7456 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:44:52 - mmengine - INFO - Iter(train) [285200/480000] base_lr: 7.2138e-05 lr: 2.0184e-05 eta: 5 days, 9:40:19 time: 2.4438 data_time: 0.1560 memory: 25727 grad_norm: 1.1826 loss: 1.3214 grounding_loss_reg: 3.0686 detection_loss_cls: 0.0463 detection_loss_reg: 0.4333 caption_loss_cls: 2.3274 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7450 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:48:23 - mmengine - INFO - Iter(train) [285300/480000] base_lr: 7.2076e-05 lr: 2.0168e-05 eta: 5 days, 9:33:12 time: 2.4449 data_time: 0.1561 memory: 25727 grad_norm: 1.1778 loss: 1.3196 grounding_loss_reg: 3.0659 detection_loss_cls: 0.0462 detection_loss_reg: 0.4327 caption_loss_cls: 2.3281 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7458 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:52:01 - mmengine - INFO - Iter(train) [285400/480000] base_lr: 7.2015e-05 lr: 2.0152e-05 eta: 5 days, 9:26:52 time: 2.4388 data_time: 0.1561 memory: 25727 grad_norm: 1.1754 loss: 1.3164 grounding_loss_reg: 3.0635 detection_loss_cls: 0.0460 detection_loss_reg: 0.4319 caption_loss_cls: 2.3289 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7466 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:55:35 - mmengine - INFO - Iter(train) [285500/480000] base_lr: 7.1953e-05 lr: 2.0136e-05 eta: 5 days, 9:20:13 time: 2.4391 data_time: 0.1561 memory: 25727 grad_norm: 1.1841 loss: 1.3157 grounding_loss_reg: 3.0614 detection_loss_cls: 0.0460 detection_loss_reg: 0.4314 caption_loss_cls: 2.3277 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7455 semantic_segmentation_loss_cls: 0.0107 2023/10/28 04:55:35 - mmengine - INFO - Saving checkpoint at 285500 iterations 2023/10/28 05:00:10 - mmengine - INFO - Iter(train) [285600/480000] base_lr: 7.1891e-05 lr: 2.0120e-05 eta: 5 days, 9:19:58 time: 2.4183 data_time: 0.1558 memory: 25727 grad_norm: 1.1889 loss: 1.3230 grounding_loss_reg: 3.0622 detection_loss_cls: 0.0458 detection_loss_reg: 0.4304 caption_loss_cls: 2.3311 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7459 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:05:03 - mmengine - INFO - Iter(train) [285700/480000] base_lr: 7.1829e-05 lr: 2.0104e-05 eta: 5 days, 9:21:36 time: 2.4354 data_time: 0.1558 memory: 26565 grad_norm: 1.1873 loss: 1.3249 grounding_loss_reg: 3.0619 detection_loss_cls: 0.0457 detection_loss_reg: 0.4298 caption_loss_cls: 2.3306 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7467 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:09:06 - mmengine - INFO - Iter(train) [285800/480000] base_lr: 7.1767e-05 lr: 2.0088e-05 eta: 5 days, 9:18:01 time: 2.4398 data_time: 0.1558 memory: 25727 grad_norm: 1.1966 loss: 1.3252 grounding_loss_reg: 3.0602 detection_loss_cls: 0.0459 detection_loss_reg: 0.4305 caption_loss_cls: 2.3331 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7469 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:13:27 - mmengine - INFO - Iter(train) [285900/480000] base_lr: 7.1705e-05 lr: 2.0072e-05 eta: 5 days, 9:16:11 time: 2.4477 data_time: 0.1558 memory: 26565 grad_norm: 1.1977 loss: 1.3275 grounding_loss_reg: 3.0592 detection_loss_cls: 0.0460 detection_loss_reg: 0.4318 caption_loss_cls: 2.3353 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7469 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:19:29 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 05:19:29 - mmengine - INFO - Iter(train) [286000/480000] base_lr: 7.1643e-05 lr: 2.0056e-05 eta: 5 days, 9:24:56 time: 2.4814 data_time: 0.1608 memory: 25727 grad_norm: 1.1940 loss: 1.3280 grounding_loss_reg: 3.0596 detection_loss_cls: 0.0461 detection_loss_reg: 0.4323 caption_loss_cls: 2.3360 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7467 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:19:29 - mmengine - INFO - Saving checkpoint at 286000 iterations 2023/10/28 05:24:39 - mmengine - INFO - Iter(train) [286100/480000] base_lr: 7.1581e-05 lr: 2.0040e-05 eta: 5 days, 9:28:16 time: 2.4838 data_time: 0.1613 memory: 26565 grad_norm: 1.1901 loss: 1.3286 grounding_loss_reg: 3.0613 detection_loss_cls: 0.0461 detection_loss_reg: 0.4329 caption_loss_cls: 2.3401 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7466 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:27:58 - mmengine - INFO - Iter(train) [286200/480000] base_lr: 7.1519e-05 lr: 2.0024e-05 eta: 5 days, 9:19:53 time: 2.4822 data_time: 0.1613 memory: 25727 grad_norm: 1.1920 loss: 1.3278 grounding_loss_reg: 3.0628 detection_loss_cls: 0.0461 detection_loss_reg: 0.4328 caption_loss_cls: 2.3376 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7468 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:31:44 - mmengine - INFO - Iter(train) [286300/480000] base_lr: 7.1457e-05 lr: 2.0007e-05 eta: 5 days, 9:14:28 time: 2.4814 data_time: 0.1613 memory: 26565 grad_norm: 1.1885 loss: 1.3257 grounding_loss_reg: 3.0609 detection_loss_cls: 0.0462 detection_loss_reg: 0.4330 caption_loss_cls: 2.3407 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7467 semantic_segmentation_loss_cls: 0.0108 2023/10/28 05:36:25 - mmengine - INFO - Iter(train) [286400/480000] base_lr: 7.1396e-05 lr: 1.9991e-05 eta: 5 days, 9:14:38 time: 2.4929 data_time: 0.1626 memory: 25727 grad_norm: 1.1841 loss: 1.3127 grounding_loss_reg: 3.0609 detection_loss_cls: 0.0462 detection_loss_reg: 0.4339 caption_loss_cls: 2.3385 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7467 semantic_segmentation_loss_cls: 0.0108 2023/10/28 05:40:01 - mmengine - INFO - Iter(train) [286500/480000] base_lr: 7.1334e-05 lr: 1.9975e-05 eta: 5 days, 9:08:07 time: 2.4875 data_time: 0.1626 memory: 26565 grad_norm: 1.1859 loss: 1.3135 grounding_loss_reg: 3.0618 detection_loss_cls: 0.0462 detection_loss_reg: 0.4338 caption_loss_cls: 2.3394 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7490 semantic_segmentation_loss_cls: 0.0108 2023/10/28 05:40:01 - mmengine - INFO - Saving checkpoint at 286500 iterations 2023/10/28 05:44:57 - mmengine - INFO - Iter(train) [286600/480000] base_lr: 7.1272e-05 lr: 1.9959e-05 eta: 5 days, 9:09:45 time: 2.4657 data_time: 0.1575 memory: 25727 grad_norm: 1.1793 loss: 1.3114 grounding_loss_reg: 3.0628 detection_loss_cls: 0.0464 detection_loss_reg: 0.4349 caption_loss_cls: 2.3410 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7490 semantic_segmentation_loss_cls: 0.0108 2023/10/28 05:48:27 - mmengine - INFO - Iter(train) [286700/480000] base_lr: 7.1210e-05 lr: 1.9943e-05 eta: 5 days, 9:02:38 time: 2.4659 data_time: 0.1575 memory: 26565 grad_norm: 1.1789 loss: 1.3088 grounding_loss_reg: 3.0628 detection_loss_cls: 0.0465 detection_loss_reg: 0.4354 caption_loss_cls: 2.3415 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7485 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:52:06 - mmengine - INFO - Iter(train) [286800/480000] base_lr: 7.1148e-05 lr: 1.9927e-05 eta: 5 days, 8:56:31 time: 2.4685 data_time: 0.1576 memory: 26565 grad_norm: 1.1724 loss: 1.3126 grounding_loss_reg: 3.0635 detection_loss_cls: 0.0465 detection_loss_reg: 0.4359 caption_loss_cls: 2.3404 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7506 semantic_segmentation_loss_cls: 0.0107 2023/10/28 05:56:05 - mmengine - INFO - Iter(train) [286900/480000] base_lr: 7.1087e-05 lr: 1.9911e-05 eta: 5 days, 8:52:20 time: 2.4763 data_time: 0.1577 memory: 26565 grad_norm: 1.1665 loss: 1.3081 grounding_loss_reg: 3.0612 detection_loss_cls: 0.0464 detection_loss_reg: 0.4356 caption_loss_cls: 2.3439 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7516 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:00:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 06:00:01 - mmengine - INFO - Iter(train) [287000/480000] base_lr: 7.1025e-05 lr: 1.9895e-05 eta: 5 days, 8:47:58 time: 2.4757 data_time: 0.1577 memory: 26565 grad_norm: 1.1643 loss: 1.3082 grounding_loss_reg: 3.0612 detection_loss_cls: 0.0464 detection_loss_reg: 0.4349 caption_loss_cls: 2.3441 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7509 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:00:01 - mmengine - INFO - Saving checkpoint at 287000 iterations 2023/10/28 06:05:08 - mmengine - INFO - Iter(train) [287100/480000] base_lr: 7.0963e-05 lr: 1.9879e-05 eta: 5 days, 8:50:39 time: 2.4752 data_time: 0.1578 memory: 25727 grad_norm: 1.1620 loss: 1.3033 grounding_loss_reg: 3.0630 detection_loss_cls: 0.0464 detection_loss_reg: 0.4347 caption_loss_cls: 2.3397 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7528 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:09:00 - mmengine - INFO - Iter(train) [287200/480000] base_lr: 7.0901e-05 lr: 1.9863e-05 eta: 5 days, 8:45:48 time: 2.4812 data_time: 0.1578 memory: 25727 grad_norm: 1.1632 loss: 1.3084 grounding_loss_reg: 3.0623 detection_loss_cls: 0.0465 detection_loss_reg: 0.4355 caption_loss_cls: 2.3390 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7534 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:12:28 - mmengine - INFO - Iter(train) [287300/480000] base_lr: 7.0840e-05 lr: 1.9847e-05 eta: 5 days, 8:38:30 time: 2.4768 data_time: 0.1579 memory: 26565 grad_norm: 1.1624 loss: 1.3053 grounding_loss_reg: 3.0618 detection_loss_cls: 0.0465 detection_loss_reg: 0.4356 caption_loss_cls: 2.3331 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7521 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:16:11 - mmengine - INFO - Iter(train) [287400/480000] base_lr: 7.0778e-05 lr: 1.9831e-05 eta: 5 days, 8:32:49 time: 2.4749 data_time: 0.1579 memory: 25727 grad_norm: 1.1632 loss: 1.3062 grounding_loss_reg: 3.0609 detection_loss_cls: 0.0468 detection_loss_reg: 0.4369 caption_loss_cls: 2.3336 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:19:45 - mmengine - INFO - Iter(train) [287500/480000] base_lr: 7.0716e-05 lr: 1.9815e-05 eta: 5 days, 8:26:09 time: 2.4696 data_time: 0.1578 memory: 25727 grad_norm: 1.1714 loss: 1.3066 grounding_loss_reg: 3.0591 detection_loss_cls: 0.0468 detection_loss_reg: 0.4372 caption_loss_cls: 2.3338 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7515 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:19:45 - mmengine - INFO - Saving checkpoint at 287500 iterations 2023/10/28 06:24:06 - mmengine - INFO - Iter(train) [287600/480000] base_lr: 7.0655e-05 lr: 1.9799e-05 eta: 5 days, 8:24:14 time: 2.4561 data_time: 0.1577 memory: 26565 grad_norm: 1.1709 loss: 1.3054 grounding_loss_reg: 3.0586 detection_loss_cls: 0.0467 detection_loss_reg: 0.4369 caption_loss_cls: 2.3341 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7516 semantic_segmentation_loss_cls: 0.0107 2023/10/28 06:27:38 - mmengine - INFO - Iter(train) [287700/480000] base_lr: 7.0593e-05 lr: 1.9783e-05 eta: 5 days, 8:17:27 time: 2.4478 data_time: 0.1576 memory: 26565 grad_norm: 1.1719 loss: 1.3035 grounding_loss_reg: 3.0576 detection_loss_cls: 0.0466 detection_loss_reg: 0.4363 caption_loss_cls: 2.3314 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7508 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:31:28 - mmengine - INFO - Iter(train) [287800/480000] base_lr: 7.0531e-05 lr: 1.9767e-05 eta: 5 days, 8:12:26 time: 2.4293 data_time: 0.1509 memory: 26565 grad_norm: 1.1726 loss: 1.3026 grounding_loss_reg: 3.0579 detection_loss_cls: 0.0466 detection_loss_reg: 0.4364 caption_loss_cls: 2.3344 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7501 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:35:25 - mmengine - INFO - Iter(train) [287900/480000] base_lr: 7.0470e-05 lr: 1.9751e-05 eta: 5 days, 8:08:10 time: 2.4346 data_time: 0.1510 memory: 26565 grad_norm: 1.1700 loss: 1.3064 grounding_loss_reg: 3.0576 detection_loss_cls: 0.0466 detection_loss_reg: 0.4362 caption_loss_cls: 2.3380 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7527 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:39:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 06:39:37 - mmengine - INFO - Iter(train) [288000/480000] base_lr: 7.0408e-05 lr: 1.9735e-05 eta: 5 days, 8:05:17 time: 2.4429 data_time: 0.1510 memory: 26565 grad_norm: 1.1591 loss: 1.2940 grounding_loss_reg: 3.0569 detection_loss_cls: 0.0465 detection_loss_reg: 0.4352 caption_loss_cls: 2.3380 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.7545 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:39:37 - mmengine - INFO - Saving checkpoint at 288000 iterations 2023/10/28 06:44:48 - mmengine - INFO - Iter(train) [288100/480000] base_lr: 7.0346e-05 lr: 1.9719e-05 eta: 5 days, 8:08:08 time: 2.4460 data_time: 0.1515 memory: 26565 grad_norm: 1.1624 loss: 1.2991 grounding_loss_reg: 3.0575 detection_loss_cls: 0.0464 detection_loss_reg: 0.4344 caption_loss_cls: 2.3366 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:49:23 - mmengine - INFO - Iter(train) [288200/480000] base_lr: 7.0285e-05 lr: 1.9703e-05 eta: 5 days, 8:07:26 time: 2.4567 data_time: 0.1516 memory: 26565 grad_norm: 1.1638 loss: 1.3012 grounding_loss_reg: 3.0555 detection_loss_cls: 0.0464 detection_loss_reg: 0.4345 caption_loss_cls: 2.3393 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7516 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:53:03 - mmengine - INFO - Iter(train) [288300/480000] base_lr: 7.0223e-05 lr: 1.9687e-05 eta: 5 days, 8:01:29 time: 2.4537 data_time: 0.1515 memory: 25727 grad_norm: 1.1668 loss: 1.3059 grounding_loss_reg: 3.0584 detection_loss_cls: 0.0464 detection_loss_reg: 0.4352 caption_loss_cls: 2.3393 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7508 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:56:36 - mmengine - INFO - Iter(train) [288400/480000] base_lr: 7.0162e-05 lr: 1.9672e-05 eta: 5 days, 7:54:47 time: 2.4448 data_time: 0.1515 memory: 25727 grad_norm: 1.1721 loss: 1.3130 grounding_loss_reg: 3.0585 detection_loss_cls: 0.0464 detection_loss_reg: 0.4357 caption_loss_cls: 2.3386 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7497 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:59:55 - mmengine - INFO - Iter(train) [288500/480000] base_lr: 7.0100e-05 lr: 1.9656e-05 eta: 5 days, 7:46:55 time: 2.4443 data_time: 0.1515 memory: 26565 grad_norm: 1.1718 loss: 1.3137 grounding_loss_reg: 3.0595 detection_loss_cls: 0.0464 detection_loss_reg: 0.4354 caption_loss_cls: 2.3320 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7501 semantic_segmentation_loss_cls: 0.0106 2023/10/28 06:59:55 - mmengine - INFO - Saving checkpoint at 288500 iterations 2023/10/28 07:05:30 - mmengine - INFO - Iter(train) [288600/480000] base_lr: 7.0038e-05 lr: 1.9640e-05 eta: 5 days, 7:51:53 time: 2.4502 data_time: 0.1518 memory: 25727 grad_norm: 1.1728 loss: 1.3141 grounding_loss_reg: 3.0597 detection_loss_cls: 0.0467 detection_loss_reg: 0.4365 caption_loss_cls: 2.3301 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7490 semantic_segmentation_loss_cls: 0.0106 2023/10/28 07:09:11 - mmengine - INFO - Iter(train) [288700/480000] base_lr: 6.9977e-05 lr: 1.9624e-05 eta: 5 days, 7:45:58 time: 2.4565 data_time: 0.1519 memory: 26565 grad_norm: 1.1621 loss: 1.3115 grounding_loss_reg: 3.0593 detection_loss_cls: 0.0467 detection_loss_reg: 0.4362 caption_loss_cls: 2.3300 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7497 semantic_segmentation_loss_cls: 0.0106 2023/10/28 07:12:48 - mmengine - INFO - Iter(train) [288800/480000] base_lr: 6.9915e-05 lr: 1.9608e-05 eta: 5 days, 7:39:48 time: 2.4522 data_time: 0.1518 memory: 25727 grad_norm: 1.1682 loss: 1.3128 grounding_loss_reg: 3.0557 detection_loss_cls: 0.0468 detection_loss_reg: 0.4362 caption_loss_cls: 2.3274 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0106 2023/10/28 07:16:09 - mmengine - INFO - Iter(train) [288900/480000] base_lr: 6.9854e-05 lr: 1.9592e-05 eta: 5 days, 7:32:06 time: 2.4459 data_time: 0.1518 memory: 25727 grad_norm: 1.1715 loss: 1.3062 grounding_loss_reg: 3.0537 detection_loss_cls: 0.0466 detection_loss_reg: 0.4364 caption_loss_cls: 2.3279 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0106 2023/10/28 07:19:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231027_072608 2023/10/28 07:19:54 - mmengine - INFO - Iter(train) [289000/480000] base_lr: 6.9792e-05 lr: 1.9576e-05 eta: 5 days, 7:26:36 time: 2.4490 data_time: 0.1517 memory: 26565 grad_norm: 1.1758 loss: 1.3096 grounding_loss_reg: 3.0551 detection_loss_cls: 0.0467 detection_loss_reg: 0.4373 caption_loss_cls: 2.3282 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7483 semantic_segmentation_loss_cls: 0.0106 2023/10/28 07:19:54 - mmengine - INFO - Saving checkpoint at 289000 iterations 2023/10/28 07:24:39 - mmengine - INFO - Iter(train) [289100/480000] base_lr: 6.9731e-05 lr: 1.9560e-05 eta: 5 days, 7:26:49 time: 2.4537 data_time: 0.1513 memory: 25727 grad_norm: 1.1694 loss: 1.3058 grounding_loss_reg: 3.0544 detection_loss_cls: 0.0468 detection_loss_reg: 0.4377 caption_loss_cls: 2.3296 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7486 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:13:26 - mmengine - INFO - Iter(train) [289200/480000] base_lr: 6.9669e-05 lr: 1.9544e-05 eta: 2 days, 23:34:55 time: 2.3923 data_time: 0.1349 memory: 25794 grad_norm: 1.1762 loss: 1.3049 grounding_loss_reg: 3.0546 detection_loss_cls: 0.0469 detection_loss_reg: 0.4369 caption_loss_cls: 2.3257 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7496 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:16:06 - mmengine - INFO - Iter(train) [289300/480000] base_lr: 6.9608e-05 lr: 1.9528e-05 eta: 3 days, 3:55:26 time: 2.3797 data_time: 0.1350 memory: 25794 grad_norm: 1.1773 loss: 1.3044 grounding_loss_reg: 3.0557 detection_loss_cls: 0.0467 detection_loss_reg: 0.4364 caption_loss_cls: 2.3264 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7487 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:18:40 - mmengine - INFO - Iter(train) [289400/480000] base_lr: 6.9546e-05 lr: 1.9512e-05 eta: 3 days, 5:16:43 time: 2.3637 data_time: 0.1349 memory: 25794 grad_norm: 1.1780 loss: 1.3057 grounding_loss_reg: 3.0555 detection_loss_cls: 0.0467 detection_loss_reg: 0.4368 caption_loss_cls: 2.3228 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7497 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:21:28 - mmengine - INFO - Iter(train) [289500/480000] base_lr: 6.9485e-05 lr: 1.9496e-05 eta: 3 days, 7:33:46 time: 2.3521 data_time: 0.1350 memory: 25794 grad_norm: 1.1679 loss: 1.3025 grounding_loss_reg: 3.0545 detection_loss_cls: 0.0460 detection_loss_reg: 0.4341 caption_loss_cls: 2.3190 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7517 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:21:28 - mmengine - INFO - Saving checkpoint at 289500 iterations 2023/10/29 22:25:01 - mmengine - INFO - Iter(train) [289600/480000] base_lr: 6.9424e-05 lr: 1.9480e-05 eta: 3 days, 13:04:03 time: 2.3367 data_time: 0.1345 memory: 25794 grad_norm: 1.1648 loss: 1.2985 grounding_loss_reg: 3.0539 detection_loss_cls: 0.0460 detection_loss_reg: 0.4341 caption_loss_cls: 2.3213 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7499 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:27:48 - mmengine - INFO - Iter(train) [289700/480000] base_lr: 6.9362e-05 lr: 1.9464e-05 eta: 3 days, 13:29:30 time: 2.3053 data_time: 0.1344 memory: 25794 grad_norm: 1.1622 loss: 1.2885 grounding_loss_reg: 3.0558 detection_loss_cls: 0.0459 detection_loss_reg: 0.4331 caption_loss_cls: 2.3202 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7499 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:30:50 - mmengine - INFO - Iter(train) [289800/480000] base_lr: 6.9301e-05 lr: 1.9448e-05 eta: 3 days, 14:45:57 time: 2.2898 data_time: 0.1345 memory: 25794 grad_norm: 1.1563 loss: 1.2890 grounding_loss_reg: 3.0559 detection_loss_cls: 0.0458 detection_loss_reg: 0.4316 caption_loss_cls: 2.3194 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7496 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:33:39 - mmengine - INFO - Iter(train) [289900/480000] base_lr: 6.9239e-05 lr: 1.9432e-05 eta: 3 days, 15:01:13 time: 2.2671 data_time: 0.1345 memory: 26633 grad_norm: 1.1634 loss: 1.2917 grounding_loss_reg: 3.0523 detection_loss_cls: 0.0459 detection_loss_reg: 0.4317 caption_loss_cls: 2.3213 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7499 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:36:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/29 22:36:44 - mmengine - INFO - Iter(train) [290000/480000] base_lr: 6.9178e-05 lr: 1.9417e-05 eta: 3 days, 16:00:36 time: 2.2227 data_time: 0.1295 memory: 26633 grad_norm: 1.1643 loss: 1.2913 grounding_loss_reg: 3.0507 detection_loss_cls: 0.0461 detection_loss_reg: 0.4326 caption_loss_cls: 2.3206 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7520 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:36:44 - mmengine - INFO - Saving checkpoint at 290000 iterations 2023/10/29 22:42:33 - mmengine - INFO - Evaluating bbox... 2023/10/29 22:43:39 - mmengine - INFO - bbox_mAP_copypaste: 0.511 0.690 0.558 0.349 0.556 0.665 2023/10/29 22:43:39 - mmengine - INFO - Evaluating segm... 2023/10/29 22:45:00 - mmengine - INFO - segm_mAP_copypaste: 0.336 0.596 0.332 0.189 0.379 0.518 2023/10/29 22:46:25 - mmengine - INFO - Evaluating bbox... 2023/10/29 22:47:36 - mmengine - INFO - bbox_mAP_copypaste: 0.511 0.689 0.558 0.349 0.557 0.666 2023/10/29 22:51:34 - mmengine - INFO - per class results: 2023/10/29 22:51:34 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.05 | 87.96 | | building | 82.83 | 92.94 | | sky | 92.85 | 97.69 | | floor | 82.56 | 91.25 | | tree | 73.49 | 86.24 | | ceiling | 83.48 | 94.31 | | road | 84.83 | 91.06 | | bed | 87.9 | 94.03 | | windowpane | 63.17 | 79.82 | | grass | 68.21 | 79.74 | | cabinet | 59.87 | 69.8 | | sidewalk | 68.31 | 82.18 | | person | 81.01 | 90.97 | | earth | 39.96 | 54.91 | | door | 52.86 | 67.47 | | table | 61.62 | 74.62 | | mountain | 62.99 | 75.31 | | plant | 51.07 | 67.75 | | curtain | 73.44 | 83.92 | | chair | 58.23 | 78.39 | | car | 83.54 | 91.85 | | water | 57.79 | 73.31 | | painting | 71.39 | 84.95 | | sofa | 72.07 | 83.46 | | shelf | 41.72 | 58.27 | | house | 36.91 | 45.18 | | sea | 60.08 | 79.53 | | mirror | 68.23 | 79.4 | | rug | 66.86 | 72.96 | | field | 28.88 | 50.3 | | armchair | 48.58 | 63.12 | | seat | 67.96 | 83.6 | | fence | 42.38 | 60.01 | | desk | 45.98 | 74.65 | | rock | 47.8 | 68.99 | | wardrobe | 56.23 | 81.11 | | lamp | 59.49 | 74.76 | | bathtub | 81.22 | 89.35 | | railing | 36.0 | 52.68 | | cushion | 56.35 | 66.56 | | base | 29.59 | 57.5 | | box | 27.71 | 35.46 | | column | 52.93 | 65.39 | | signboard | 34.42 | 43.36 | | chest of drawers | 40.95 | 72.0 | | counter | 29.33 | 35.82 | | sand | 47.03 | 60.57 | | sink | 72.91 | 83.11 | | skyscraper | 53.04 | 64.13 | | fireplace | 68.12 | 87.38 | | refrigerator | 71.71 | 86.0 | | grandstand | 49.59 | 78.43 | | path | 22.46 | 35.12 | | stairs | 35.15 | 42.58 | | runway | 70.63 | 87.94 | | case | 54.63 | 69.83 | | pool table | 87.16 | 95.17 | | pillow | 48.84 | 58.59 | | screen door | 36.99 | 37.67 | | stairway | 31.68 | 37.0 | | river | 22.55 | 33.35 | | bridge | 47.31 | 55.71 | | bookcase | 31.96 | 54.89 | | blind | 41.55 | 46.51 | | coffee table | 61.27 | 73.09 | | toilet | 84.1 | 91.45 | | flower | 35.65 | 61.22 | | book | 43.04 | 59.14 | | hill | 13.02 | 19.0 | | bench | 60.78 | 73.11 | | countertop | 61.88 | 76.82 | | stove | 73.7 | 83.72 | | palm | 45.52 | 55.93 | | kitchen island | 35.92 | 92.86 | | computer | 73.15 | 85.11 | | swivel chair | 30.09 | 34.08 | | boat | 69.25 | 85.98 | | bar | 40.52 | 51.01 | | arcade machine | 71.44 | 75.67 | | hovel | 31.34 | 42.57 | | bus | 92.52 | 95.36 | | towel | 57.75 | 77.33 | | light | 46.22 | 52.62 | | truck | 40.38 | 56.56 | | tower | 40.3 | 70.08 | | chandelier | 55.72 | 64.99 | | awning | 28.97 | 32.91 | | streetlight | 33.59 | 43.74 | | booth | 34.84 | 41.96 | | television receiver | 63.27 | 74.97 | | airplane | 56.54 | 68.21 | | dirt track | 11.14 | 26.73 | | apparel | 36.27 | 53.15 | | pole | 25.61 | 44.95 | | land | 0.94 | 1.33 | | bannister | 10.17 | 12.23 | | escalator | 32.57 | 39.1 | | ottoman | 50.17 | 69.75 | | bottle | 26.5 | 33.65 | | buffet | 45.75 | 52.26 | | poster | 31.98 | 37.99 | | stage | 12.22 | 17.23 | | van | 39.17 | 49.21 | | ship | 19.39 | 19.87 | | fountain | 28.39 | 29.11 | | conveyer belt | 64.76 | 86.19 | | canopy | 24.9 | 37.78 | | washer | 72.68 | 74.03 | | plaything | 26.17 | 29.7 | | swimming pool | 66.44 | 82.62 | | stool | 43.57 | 55.73 | | barrel | 47.51 | 64.67 | | basket | 27.61 | 40.81 | | waterfall | 68.97 | 76.96 | | tent | 93.76 | 96.22 | | bag | 12.13 | 12.62 | | minibike | 72.71 | 90.92 | | cradle | 74.21 | 93.91 | | oven | 51.07 | 67.17 | | ball | 50.11 | 60.79 | | food | 46.22 | 51.52 | | step | 10.67 | 18.99 | | tank | 42.33 | 57.88 | | trade name | 7.89 | 8.0 | | microwave | 88.03 | 93.26 | | pot | 49.89 | 57.6 | | animal | 59.81 | 62.52 | | bicycle | 60.26 | 77.43 | | lake | 9.64 | 10.28 | | dishwasher | 61.97 | 69.64 | | screen | 67.4 | 86.39 | | blanket | 13.08 | 14.89 | | sculpture | 70.8 | 78.52 | | hood | 67.45 | 83.73 | | sconce | 38.07 | 47.6 | | vase | 40.5 | 60.8 | | traffic light | 31.2 | 38.34 | | tray | 12.35 | 20.56 | | ashcan | 41.84 | 63.14 | | fan | 56.5 | 68.94 | | pier | 23.41 | 24.6 | | crt screen | 2.04 | 2.07 | | plate | 55.1 | 72.96 | | monitor | 43.77 | 62.66 | | bulletin board | 50.73 | 59.51 | | shower | 0.27 | 3.24 | | radiator | 61.78 | 70.1 | | glass | 16.07 | 17.72 | | clock | 23.87 | 28.14 | | flag | 64.05 | 71.97 | +---------------------+-------+-------+ 2023/10/29 22:52:05 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.2162 data_time: 0.0250 memory: 27910 2023/10/29 22:52:40 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5110 coco/bbox_mAP_50: 0.6890 coco/bbox_mAP_75: 0.5580 coco/bbox_mAP_s: 0.3490 coco/bbox_mAP_m: 0.5570 coco/bbox_mAP_l: 0.6660 coco/segm_mAP: 0.3360 coco/segm_mAP_50: 0.5960 coco/segm_mAP_75: 0.3320 coco/segm_mAP_s: 0.1890 coco/segm_mAP_m: 0.3790 coco/segm_mAP_l: 0.5180 Bleu_1: 0.7590 Bleu_2: 0.5919 Bleu_3: 0.4486 Bleu_4: 0.3372 METEOR: 0.2757 ROUGE_L: 0.5584 CIDEr: 1.1171 SPICE: 0.2045 aAcc: 83.3600 mIoU: 49.3900 mAcc: 61.1800 visual-grounding/miou: 0.7678 visual-grounding/acc: 0.8450 data_time: 0.0019 time: 0.2342 2023/10/29 22:55:57 - mmengine - INFO - Iter(train) [290100/480000] base_lr: 6.9117e-05 lr: 1.9401e-05 eta: 3 days, 18:19:21 time: 2.1990 data_time: 0.1176 memory: 26633 grad_norm: 1.1668 loss: 1.2921 grounding_loss_reg: 3.0509 detection_loss_cls: 0.0460 detection_loss_reg: 0.4323 caption_loss_cls: 2.3229 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0106 2023/10/29 22:59:05 - mmengine - INFO - Iter(train) [290200/480000] base_lr: 6.9055e-05 lr: 1.9385e-05 eta: 3 days, 18:59:51 time: 2.1964 data_time: 0.1177 memory: 25794 grad_norm: 1.1710 loss: 1.2967 grounding_loss_reg: 3.0513 detection_loss_cls: 0.0459 detection_loss_reg: 0.4319 caption_loss_cls: 2.3251 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7535 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:02:00 - mmengine - INFO - Iter(train) [290300/480000] base_lr: 6.8994e-05 lr: 1.9369e-05 eta: 3 days, 19:02:26 time: 2.1834 data_time: 0.1177 memory: 25794 grad_norm: 1.1683 loss: 1.2902 grounding_loss_reg: 3.0510 detection_loss_cls: 0.0460 detection_loss_reg: 0.4325 caption_loss_cls: 2.3220 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7527 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:04:55 - mmengine - INFO - Iter(train) [290400/480000] base_lr: 6.8933e-05 lr: 1.9353e-05 eta: 3 days, 19:04:39 time: 2.1570 data_time: 0.1163 memory: 25794 grad_norm: 1.1740 loss: 1.2976 grounding_loss_reg: 3.0478 detection_loss_cls: 0.0462 detection_loss_reg: 0.4338 caption_loss_cls: 2.3224 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7512 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:08:20 - mmengine - INFO - Iter(train) [290500/480000] base_lr: 6.8871e-05 lr: 1.9337e-05 eta: 3 days, 20:08:09 time: 2.1542 data_time: 0.1163 memory: 25794 grad_norm: 1.1758 loss: 1.2931 grounding_loss_reg: 3.0477 detection_loss_cls: 0.0465 detection_loss_reg: 0.4348 caption_loss_cls: 2.3233 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7508 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:08:20 - mmengine - INFO - Saving checkpoint at 290500 iterations 2023/10/29 23:12:56 - mmengine - INFO - Iter(train) [290600/480000] base_lr: 6.8810e-05 lr: 1.9321e-05 eta: 3 days, 23:24:22 time: 2.1493 data_time: 0.1179 memory: 25794 grad_norm: 1.1780 loss: 1.2874 grounding_loss_reg: 3.0461 detection_loss_cls: 0.0465 detection_loss_reg: 0.4353 caption_loss_cls: 2.3207 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7504 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:16:07 - mmengine - INFO - Iter(train) [290700/480000] base_lr: 6.8749e-05 lr: 1.9305e-05 eta: 3 days, 23:39:56 time: 2.1447 data_time: 0.1179 memory: 26633 grad_norm: 1.1791 loss: 1.2888 grounding_loss_reg: 3.0437 detection_loss_cls: 0.0466 detection_loss_reg: 0.4358 caption_loss_cls: 2.3211 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0105 2023/10/29 23:19:27 - mmengine - INFO - Iter(train) [290800/480000] base_lr: 6.8688e-05 lr: 1.9289e-05 eta: 4 days, 0:08:10 time: 2.1398 data_time: 0.1178 memory: 25794 grad_norm: 1.1778 loss: 1.2802 grounding_loss_reg: 3.0448 detection_loss_cls: 0.0463 detection_loss_reg: 0.4347 caption_loss_cls: 2.3174 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7494 semantic_segmentation_loss_cls: 0.0105 2023/10/29 23:22:53 - mmengine - INFO - Iter(train) [290900/480000] base_lr: 6.8626e-05 lr: 1.9274e-05 eta: 4 days, 0:43:46 time: 2.1317 data_time: 0.1178 memory: 25794 grad_norm: 1.1783 loss: 1.2780 grounding_loss_reg: 3.0450 detection_loss_cls: 0.0462 detection_loss_reg: 0.4351 caption_loss_cls: 2.3162 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7500 semantic_segmentation_loss_cls: 0.0105 2023/10/29 23:26:08 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/29 23:26:08 - mmengine - INFO - Iter(train) [291000/480000] base_lr: 6.8565e-05 lr: 1.9258e-05 eta: 4 days, 0:57:37 time: 2.1212 data_time: 0.1179 memory: 25794 grad_norm: 1.1794 loss: 1.2698 grounding_loss_reg: 3.0429 detection_loss_cls: 0.0463 detection_loss_reg: 0.4353 caption_loss_cls: 2.3099 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7489 semantic_segmentation_loss_cls: 0.0105 2023/10/29 23:26:08 - mmengine - INFO - Saving checkpoint at 291000 iterations 2023/10/29 23:30:27 - mmengine - INFO - Iter(train) [291100/480000] base_lr: 6.8504e-05 lr: 1.9242e-05 eta: 4 days, 2:45:35 time: 2.1092 data_time: 0.1179 memory: 25794 grad_norm: 1.1827 loss: 1.2769 grounding_loss_reg: 3.0427 detection_loss_cls: 0.0465 detection_loss_reg: 0.4361 caption_loss_cls: 2.3113 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7502 semantic_segmentation_loss_cls: 0.0105 2023/10/29 23:33:46 - mmengine - INFO - Iter(train) [291200/480000] base_lr: 6.8443e-05 lr: 1.9226e-05 eta: 4 days, 2:58:02 time: 2.1009 data_time: 0.1179 memory: 26633 grad_norm: 1.1880 loss: 1.2733 grounding_loss_reg: 3.0417 detection_loss_cls: 0.0464 detection_loss_reg: 0.4360 caption_loss_cls: 2.3134 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7507 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:36:44 - mmengine - INFO - Iter(train) [291300/480000] base_lr: 6.8382e-05 lr: 1.9210e-05 eta: 4 days, 2:40:37 time: 2.0937 data_time: 0.1179 memory: 25794 grad_norm: 1.1953 loss: 1.2784 grounding_loss_reg: 3.0382 detection_loss_cls: 0.0463 detection_loss_reg: 0.4354 caption_loss_cls: 2.3143 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:39:46 - mmengine - INFO - Iter(train) [291400/480000] base_lr: 6.8320e-05 lr: 1.9194e-05 eta: 4 days, 2:28:33 time: 2.0832 data_time: 0.1179 memory: 26633 grad_norm: 1.2019 loss: 1.2786 grounding_loss_reg: 3.0371 detection_loss_cls: 0.0463 detection_loss_reg: 0.4349 caption_loss_cls: 2.3133 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:43:22 - mmengine - INFO - Iter(train) [291500/480000] base_lr: 6.8259e-05 lr: 1.9178e-05 eta: 4 days, 3:00:49 time: 2.0839 data_time: 0.1181 memory: 26633 grad_norm: 1.1942 loss: 1.2803 grounding_loss_reg: 3.0360 detection_loss_cls: 0.0462 detection_loss_reg: 0.4345 caption_loss_cls: 2.3178 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7536 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:43:22 - mmengine - INFO - Saving checkpoint at 291500 iterations 2023/10/29 23:47:44 - mmengine - INFO - Iter(train) [291600/480000] base_lr: 6.8198e-05 lr: 1.9162e-05 eta: 4 days, 4:25:37 time: 2.0841 data_time: 0.1185 memory: 25794 grad_norm: 1.2017 loss: 1.2876 grounding_loss_reg: 3.0351 detection_loss_cls: 0.0462 detection_loss_reg: 0.4350 caption_loss_cls: 2.3201 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7529 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:51:40 - mmengine - INFO - Iter(train) [291700/480000] base_lr: 6.8137e-05 lr: 1.9147e-05 eta: 4 days, 5:13:52 time: 2.0901 data_time: 0.1185 memory: 25794 grad_norm: 1.1983 loss: 1.2863 grounding_loss_reg: 3.0348 detection_loss_cls: 0.0464 detection_loss_reg: 0.4362 caption_loss_cls: 2.3220 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7532 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:55:11 - mmengine - INFO - Iter(train) [291800/480000] base_lr: 6.8076e-05 lr: 1.9131e-05 eta: 4 days, 5:30:09 time: 2.0854 data_time: 0.1186 memory: 25794 grad_norm: 1.2052 loss: 1.2899 grounding_loss_reg: 3.0343 detection_loss_cls: 0.0462 detection_loss_reg: 0.4364 caption_loss_cls: 2.3179 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7526 semantic_segmentation_loss_cls: 0.0106 2023/10/29 23:58:25 - mmengine - INFO - Iter(train) [291900/480000] base_lr: 6.8015e-05 lr: 1.9115e-05 eta: 4 days, 5:26:04 time: 2.0744 data_time: 0.1185 memory: 26633 grad_norm: 1.2056 loss: 1.2794 grounding_loss_reg: 3.0354 detection_loss_cls: 0.0462 detection_loss_reg: 0.4361 caption_loss_cls: 2.3158 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7513 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:01:47 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 00:01:47 - mmengine - INFO - Iter(train) [292000/480000] base_lr: 6.7954e-05 lr: 1.9099e-05 eta: 4 days, 5:31:14 time: 2.0620 data_time: 0.1184 memory: 25794 grad_norm: 1.2132 loss: 1.2859 grounding_loss_reg: 3.0344 detection_loss_cls: 0.0461 detection_loss_reg: 0.4354 caption_loss_cls: 2.3159 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7530 semantic_segmentation_loss_cls: 0.0105 2023/10/30 00:01:47 - mmengine - INFO - Saving checkpoint at 292000 iterations 2023/10/30 00:07:01 - mmengine - INFO - Iter(train) [292100/480000] base_lr: 6.7893e-05 lr: 1.9083e-05 eta: 4 days, 7:28:19 time: 2.0626 data_time: 0.1198 memory: 26633 grad_norm: 1.2132 loss: 1.2834 grounding_loss_reg: 3.0321 detection_loss_cls: 0.0461 detection_loss_reg: 0.4349 caption_loss_cls: 2.3139 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7522 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:10:26 - mmengine - INFO - Iter(train) [292200/480000] base_lr: 6.7832e-05 lr: 1.9067e-05 eta: 4 days, 7:31:41 time: 2.0452 data_time: 0.1198 memory: 25794 grad_norm: 1.2157 loss: 1.2816 grounding_loss_reg: 3.0306 detection_loss_cls: 0.0461 detection_loss_reg: 0.4352 caption_loss_cls: 2.3125 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7524 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:14:02 - mmengine - INFO - Iter(train) [292300/480000] base_lr: 6.7771e-05 lr: 1.9052e-05 eta: 4 days, 7:45:35 time: 2.0443 data_time: 0.1198 memory: 25794 grad_norm: 1.2125 loss: 1.2747 grounding_loss_reg: 3.0319 detection_loss_cls: 0.0459 detection_loss_reg: 0.4352 caption_loss_cls: 2.3156 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7494 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:16:54 - mmengine - INFO - Iter(train) [292400/480000] base_lr: 6.7710e-05 lr: 1.9036e-05 eta: 4 days, 7:16:46 time: 2.0341 data_time: 0.1198 memory: 26633 grad_norm: 1.2106 loss: 1.2701 grounding_loss_reg: 3.0314 detection_loss_cls: 0.0459 detection_loss_reg: 0.4362 caption_loss_cls: 2.3146 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7494 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:20:28 - mmengine - INFO - Iter(train) [292500/480000] base_lr: 6.7649e-05 lr: 1.9020e-05 eta: 4 days, 7:27:29 time: 2.0376 data_time: 0.1199 memory: 26633 grad_norm: 1.2097 loss: 1.2656 grounding_loss_reg: 3.0313 detection_loss_cls: 0.0459 detection_loss_reg: 0.4363 caption_loss_cls: 2.3101 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.7496 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:20:28 - mmengine - INFO - Saving checkpoint at 292500 iterations 2023/10/30 00:25:01 - mmengine - INFO - Iter(train) [292600/480000] base_lr: 6.7588e-05 lr: 1.9004e-05 eta: 4 days, 8:28:54 time: 2.0222 data_time: 0.1217 memory: 25794 grad_norm: 1.2178 loss: 1.2737 grounding_loss_reg: 3.0298 detection_loss_cls: 0.0459 detection_loss_reg: 0.4368 caption_loss_cls: 2.3124 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7503 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:28:35 - mmengine - INFO - Iter(train) [292700/480000] base_lr: 6.7527e-05 lr: 1.8988e-05 eta: 4 days, 8:36:55 time: 2.0207 data_time: 0.1218 memory: 25794 grad_norm: 1.2127 loss: 1.2646 grounding_loss_reg: 3.0289 detection_loss_cls: 0.0459 detection_loss_reg: 0.4366 caption_loss_cls: 2.3127 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7519 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:32:21 - mmengine - INFO - Iter(train) [292800/480000] base_lr: 6.7466e-05 lr: 1.8973e-05 eta: 4 days, 8:54:06 time: 2.0228 data_time: 0.1218 memory: 26633 grad_norm: 1.2114 loss: 1.2631 grounding_loss_reg: 3.0294 detection_loss_cls: 0.0458 detection_loss_reg: 0.4365 caption_loss_cls: 2.3118 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7510 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:35:39 - mmengine - INFO - Iter(train) [292900/480000] base_lr: 6.7405e-05 lr: 1.8957e-05 eta: 4 days, 8:47:13 time: 2.0219 data_time: 0.1218 memory: 26633 grad_norm: 1.2149 loss: 1.2698 grounding_loss_reg: 3.0301 detection_loss_cls: 0.0460 detection_loss_reg: 0.4368 caption_loss_cls: 2.3142 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7502 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:39:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 00:39:20 - mmengine - INFO - Iter(train) [293000/480000] base_lr: 6.7344e-05 lr: 1.8941e-05 eta: 4 days, 8:59:07 time: 2.0211 data_time: 0.1219 memory: 26633 grad_norm: 1.2141 loss: 1.2738 grounding_loss_reg: 3.0315 detection_loss_cls: 0.0460 detection_loss_reg: 0.4370 caption_loss_cls: 2.3160 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7496 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:39:20 - mmengine - INFO - Saving checkpoint at 293000 iterations 2023/10/30 00:43:45 - mmengine - INFO - Iter(train) [293100/480000] base_lr: 6.7283e-05 lr: 1.8925e-05 eta: 4 days, 9:43:20 time: 2.0554 data_time: 0.1390 memory: 26633 grad_norm: 1.2110 loss: 1.2701 grounding_loss_reg: 3.0315 detection_loss_cls: 0.0460 detection_loss_reg: 0.4362 caption_loss_cls: 2.3143 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7486 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:47:13 - mmengine - INFO - Iter(train) [293200/480000] base_lr: 6.7222e-05 lr: 1.8909e-05 eta: 4 days, 9:43:10 time: 2.0718 data_time: 0.1391 memory: 25794 grad_norm: 1.2104 loss: 1.2749 grounding_loss_reg: 3.0311 detection_loss_cls: 0.0460 detection_loss_reg: 0.4364 caption_loss_cls: 2.3162 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7488 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:50:29 - mmengine - INFO - Iter(train) [293300/480000] base_lr: 6.7161e-05 lr: 1.8894e-05 eta: 4 days, 9:34:33 time: 2.0809 data_time: 0.1391 memory: 26633 grad_norm: 1.2105 loss: 1.2754 grounding_loss_reg: 3.0293 detection_loss_cls: 0.0459 detection_loss_reg: 0.4363 caption_loss_cls: 2.3156 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7492 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:53:53 - mmengine - INFO - Iter(train) [293400/480000] base_lr: 6.7100e-05 lr: 1.8878e-05 eta: 4 days, 9:31:11 time: 2.0934 data_time: 0.1392 memory: 26633 grad_norm: 1.2133 loss: 1.2789 grounding_loss_reg: 3.0283 detection_loss_cls: 0.0458 detection_loss_reg: 0.4362 caption_loss_cls: 2.3159 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7484 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:57:08 - mmengine - INFO - Iter(train) [293500/480000] base_lr: 6.7039e-05 lr: 1.8862e-05 eta: 4 days, 9:21:35 time: 2.1000 data_time: 0.1391 memory: 25794 grad_norm: 1.2205 loss: 1.2853 grounding_loss_reg: 3.0278 detection_loss_cls: 0.0459 detection_loss_reg: 0.4365 caption_loss_cls: 2.3191 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7485 semantic_segmentation_loss_cls: 0.0106 2023/10/30 00:57:08 - mmengine - INFO - Saving checkpoint at 293500 iterations 2023/10/30 01:01:56 - mmengine - INFO - Iter(train) [293600/480000] base_lr: 6.6978e-05 lr: 1.8846e-05 eta: 4 days, 10:15:38 time: 2.1188 data_time: 0.1402 memory: 25794 grad_norm: 1.2214 loss: 1.2846 grounding_loss_reg: 3.0281 detection_loss_cls: 0.0460 detection_loss_reg: 0.4367 caption_loss_cls: 2.3204 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7473 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:05:31 - mmengine - INFO - Iter(train) [293700/480000] base_lr: 6.6917e-05 lr: 1.8830e-05 eta: 4 days, 10:18:25 time: 2.1307 data_time: 0.1406 memory: 26633 grad_norm: 1.2157 loss: 1.2818 grounding_loss_reg: 3.0268 detection_loss_cls: 0.0460 detection_loss_reg: 0.4359 caption_loss_cls: 2.3203 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7478 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:09:21 - mmengine - INFO - Iter(train) [293800/480000] base_lr: 6.6857e-05 lr: 1.8815e-05 eta: 4 days, 10:30:34 time: 2.1427 data_time: 0.1406 memory: 26633 grad_norm: 1.2143 loss: 1.2762 grounding_loss_reg: 3.0250 detection_loss_cls: 0.0461 detection_loss_reg: 0.4368 caption_loss_cls: 2.3187 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7471 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:12:42 - mmengine - INFO - Iter(train) [293900/480000] base_lr: 6.6796e-05 lr: 1.8799e-05 eta: 4 days, 10:24:24 time: 2.1507 data_time: 0.1406 memory: 26633 grad_norm: 1.2149 loss: 1.2764 grounding_loss_reg: 3.0242 detection_loss_cls: 0.0459 detection_loss_reg: 0.4351 caption_loss_cls: 2.3172 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7473 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:15:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 01:15:50 - mmengine - INFO - Iter(train) [294000/480000] base_lr: 6.6735e-05 lr: 1.8783e-05 eta: 4 days, 10:09:51 time: 2.1516 data_time: 0.1405 memory: 26633 grad_norm: 1.2217 loss: 1.2788 grounding_loss_reg: 3.0229 detection_loss_cls: 0.0458 detection_loss_reg: 0.4342 caption_loss_cls: 2.3209 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7458 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:15:50 - mmengine - INFO - Saving checkpoint at 294000 iterations 2023/10/30 01:20:41 - mmengine - INFO - Iter(train) [294100/480000] base_lr: 6.6674e-05 lr: 1.8767e-05 eta: 4 days, 10:58:20 time: 2.1703 data_time: 0.1529 memory: 25794 grad_norm: 1.2183 loss: 1.2777 grounding_loss_reg: 3.0221 detection_loss_cls: 0.0461 detection_loss_reg: 0.4345 caption_loss_cls: 2.3206 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7456 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:24:25 - mmengine - INFO - Iter(train) [294200/480000] base_lr: 6.6613e-05 lr: 1.8752e-05 eta: 4 days, 11:04:38 time: 2.1793 data_time: 0.1530 memory: 25794 grad_norm: 1.2151 loss: 1.2737 grounding_loss_reg: 3.0196 detection_loss_cls: 0.0461 detection_loss_reg: 0.4343 caption_loss_cls: 2.3175 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7466 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:28:17 - mmengine - INFO - Iter(train) [294300/480000] base_lr: 6.6553e-05 lr: 1.8736e-05 eta: 4 days, 11:15:42 time: 2.1937 data_time: 0.1530 memory: 25794 grad_norm: 1.2139 loss: 1.2733 grounding_loss_reg: 3.0174 detection_loss_cls: 0.0459 detection_loss_reg: 0.4343 caption_loss_cls: 2.3201 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7460 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:31:39 - mmengine - INFO - Iter(train) [294400/480000] base_lr: 6.6492e-05 lr: 1.8720e-05 eta: 4 days, 11:09:00 time: 2.2005 data_time: 0.1530 memory: 25794 grad_norm: 1.2112 loss: 1.2689 grounding_loss_reg: 3.0179 detection_loss_cls: 0.0458 detection_loss_reg: 0.4334 caption_loss_cls: 2.3205 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7442 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:35:25 - mmengine - INFO - Iter(train) [294500/480000] base_lr: 6.6431e-05 lr: 1.8704e-05 eta: 4 days, 11:15:27 time: 2.2058 data_time: 0.1530 memory: 26633 grad_norm: 1.2025 loss: 1.2658 grounding_loss_reg: 3.0183 detection_loss_cls: 0.0458 detection_loss_reg: 0.4337 caption_loss_cls: 2.3225 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7436 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:35:25 - mmengine - INFO - Saving checkpoint at 294500 iterations 2023/10/30 01:40:20 - mmengine - INFO - Iter(train) [294600/480000] base_lr: 6.6371e-05 lr: 1.8689e-05 eta: 4 days, 12:00:02 time: 2.2106 data_time: 0.1525 memory: 26633 grad_norm: 1.2011 loss: 1.2656 grounding_loss_reg: 3.0151 detection_loss_cls: 0.0458 detection_loss_reg: 0.4339 caption_loss_cls: 2.3174 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7434 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:43:57 - mmengine - INFO - Iter(train) [294700/480000] base_lr: 6.6310e-05 lr: 1.8673e-05 eta: 4 days, 12:00:01 time: 2.2168 data_time: 0.1528 memory: 26633 grad_norm: 1.1992 loss: 1.2644 grounding_loss_reg: 3.0164 detection_loss_cls: 0.0458 detection_loss_reg: 0.4330 caption_loss_cls: 2.3129 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7428 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:47:32 - mmengine - INFO - Iter(train) [294800/480000] base_lr: 6.6249e-05 lr: 1.8657e-05 eta: 4 days, 11:59:41 time: 2.2208 data_time: 0.1528 memory: 25794 grad_norm: 1.2030 loss: 1.2705 grounding_loss_reg: 3.0169 detection_loss_cls: 0.0459 detection_loss_reg: 0.4342 caption_loss_cls: 2.3134 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7427 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:51:29 - mmengine - INFO - Iter(train) [294900/480000] base_lr: 6.6189e-05 lr: 1.8641e-05 eta: 4 days, 12:10:12 time: 2.2284 data_time: 0.1527 memory: 25794 grad_norm: 1.2033 loss: 1.2725 grounding_loss_reg: 3.0161 detection_loss_cls: 0.0459 detection_loss_reg: 0.4350 caption_loss_cls: 2.3156 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7413 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:54:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 01:54:54 - mmengine - INFO - Iter(train) [295000/480000] base_lr: 6.6128e-05 lr: 1.8626e-05 eta: 4 days, 12:03:45 time: 2.2308 data_time: 0.1527 memory: 25794 grad_norm: 1.2075 loss: 1.2806 grounding_loss_reg: 3.0159 detection_loss_cls: 0.0458 detection_loss_reg: 0.4342 caption_loss_cls: 2.3144 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7410 semantic_segmentation_loss_cls: 0.0105 2023/10/30 01:54:54 - mmengine - INFO - Saving checkpoint at 295000 iterations 2023/10/30 01:59:29 - mmengine - INFO - Iter(train) [295100/480000] base_lr: 6.6067e-05 lr: 1.8610e-05 eta: 4 days, 12:32:55 time: 2.2349 data_time: 0.1528 memory: 26633 grad_norm: 1.2089 loss: 1.2810 grounding_loss_reg: 3.0151 detection_loss_cls: 0.0458 detection_loss_reg: 0.4342 caption_loss_cls: 2.3166 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7410 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:03:15 - mmengine - INFO - Iter(train) [295200/480000] base_lr: 6.6007e-05 lr: 1.8594e-05 eta: 4 days, 12:36:32 time: 2.2415 data_time: 0.1528 memory: 25794 grad_norm: 1.2026 loss: 1.2773 grounding_loss_reg: 3.0125 detection_loss_cls: 0.0457 detection_loss_reg: 0.4349 caption_loss_cls: 2.3180 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7408 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:07:08 - mmengine - INFO - Iter(train) [295300/480000] base_lr: 6.5946e-05 lr: 1.8579e-05 eta: 4 days, 12:43:44 time: 2.2553 data_time: 0.1529 memory: 25794 grad_norm: 1.1981 loss: 1.2830 grounding_loss_reg: 3.0143 detection_loss_cls: 0.0456 detection_loss_reg: 0.4344 caption_loss_cls: 2.3186 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7422 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:10:32 - mmengine - INFO - Iter(train) [295400/480000] base_lr: 6.5885e-05 lr: 1.8563e-05 eta: 4 days, 12:36:10 time: 2.2609 data_time: 0.1528 memory: 25794 grad_norm: 1.1938 loss: 1.2791 grounding_loss_reg: 3.0123 detection_loss_cls: 0.0456 detection_loss_reg: 0.4343 caption_loss_cls: 2.3162 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7414 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:14:08 - mmengine - INFO - Iter(train) [295500/480000] base_lr: 6.5825e-05 lr: 1.8547e-05 eta: 4 days, 12:34:47 time: 2.2609 data_time: 0.1528 memory: 25794 grad_norm: 1.1912 loss: 1.2750 grounding_loss_reg: 3.0106 detection_loss_cls: 0.0455 detection_loss_reg: 0.4342 caption_loss_cls: 2.3192 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7417 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:14:08 - mmengine - INFO - Saving checkpoint at 295500 iterations 2023/10/30 02:18:43 - mmengine - INFO - Iter(train) [295600/480000] base_lr: 6.5764e-05 lr: 1.8531e-05 eta: 4 days, 13:00:43 time: 2.2642 data_time: 0.1527 memory: 26633 grad_norm: 1.1903 loss: 1.2720 grounding_loss_reg: 3.0136 detection_loss_cls: 0.0456 detection_loss_reg: 0.4340 caption_loss_cls: 2.3182 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7419 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:22:06 - mmengine - INFO - Iter(train) [295700/480000] base_lr: 6.5704e-05 lr: 1.8516e-05 eta: 4 days, 12:52:27 time: 2.2558 data_time: 0.1527 memory: 26633 grad_norm: 1.1930 loss: 1.2658 grounding_loss_reg: 3.0153 detection_loss_cls: 0.0456 detection_loss_reg: 0.4334 caption_loss_cls: 2.3160 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7395 semantic_segmentation_loss_cls: 0.0105 2023/10/30 02:25:53 - mmengine - INFO - Iter(train) [295800/480000] base_lr: 6.5643e-05 lr: 1.8500e-05 eta: 4 days, 12:55:09 time: 2.2597 data_time: 0.1527 memory: 26633 grad_norm: 1.1860 loss: 1.2602 grounding_loss_reg: 3.0136 detection_loss_cls: 0.0456 detection_loss_reg: 0.4327 caption_loss_cls: 2.3115 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7394 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:29:14 - mmengine - INFO - Iter(train) [295900/480000] base_lr: 6.5583e-05 lr: 1.8484e-05 eta: 4 days, 12:46:22 time: 2.2616 data_time: 0.1527 memory: 26633 grad_norm: 1.1891 loss: 1.2683 grounding_loss_reg: 3.0125 detection_loss_cls: 0.0457 detection_loss_reg: 0.4339 caption_loss_cls: 2.3060 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7408 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:32:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 02:32:24 - mmengine - INFO - Iter(train) [296000/480000] base_lr: 6.5522e-05 lr: 1.8469e-05 eta: 4 days, 12:32:54 time: 2.2586 data_time: 0.1526 memory: 26633 grad_norm: 1.2061 loss: 1.2717 grounding_loss_reg: 3.0124 detection_loss_cls: 0.0457 detection_loss_reg: 0.4341 caption_loss_cls: 2.3036 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7390 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:32:24 - mmengine - INFO - Saving checkpoint at 296000 iterations 2023/10/30 02:36:42 - mmengine - INFO - Iter(train) [296100/480000] base_lr: 6.5462e-05 lr: 1.8453e-05 eta: 4 days, 12:49:03 time: 2.2447 data_time: 0.1518 memory: 26633 grad_norm: 1.2082 loss: 1.2770 grounding_loss_reg: 3.0115 detection_loss_cls: 0.0457 detection_loss_reg: 0.4343 caption_loss_cls: 2.3014 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7383 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:40:00 - mmengine - INFO - Iter(train) [296200/480000] base_lr: 6.5401e-05 lr: 1.8437e-05 eta: 4 days, 12:38:57 time: 2.2429 data_time: 0.1518 memory: 25794 grad_norm: 1.2078 loss: 1.2777 grounding_loss_reg: 3.0088 detection_loss_cls: 0.0458 detection_loss_reg: 0.4352 caption_loss_cls: 2.3056 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7392 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:43:54 - mmengine - INFO - Iter(train) [296300/480000] base_lr: 6.5341e-05 lr: 1.8422e-05 eta: 4 days, 12:44:25 time: 2.2473 data_time: 0.1519 memory: 26633 grad_norm: 1.2054 loss: 1.2776 grounding_loss_reg: 3.0105 detection_loss_cls: 0.0460 detection_loss_reg: 0.4366 caption_loss_cls: 2.3065 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7403 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:47:39 - mmengine - INFO - Iter(train) [296400/480000] base_lr: 6.5280e-05 lr: 1.8406e-05 eta: 4 days, 12:45:40 time: 2.2606 data_time: 0.1519 memory: 25794 grad_norm: 1.2062 loss: 1.2807 grounding_loss_reg: 3.0107 detection_loss_cls: 0.0460 detection_loss_reg: 0.4365 caption_loss_cls: 2.3026 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7387 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:51:20 - mmengine - INFO - Iter(train) [296500/480000] base_lr: 6.5220e-05 lr: 1.8390e-05 eta: 4 days, 12:45:12 time: 2.2624 data_time: 0.1519 memory: 26633 grad_norm: 1.2065 loss: 1.2839 grounding_loss_reg: 3.0085 detection_loss_cls: 0.0459 detection_loss_reg: 0.4361 caption_loss_cls: 2.3046 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:51:20 - mmengine - INFO - Saving checkpoint at 296500 iterations 2023/10/30 02:55:36 - mmengine - INFO - Iter(train) [296600/480000] base_lr: 6.5160e-05 lr: 1.8375e-05 eta: 4 days, 12:59:05 time: 2.2582 data_time: 0.1512 memory: 25794 grad_norm: 1.2024 loss: 1.2832 grounding_loss_reg: 3.0075 detection_loss_cls: 0.0460 detection_loss_reg: 0.4371 caption_loss_cls: 2.3040 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7397 semantic_segmentation_loss_cls: 0.0106 2023/10/30 02:58:58 - mmengine - INFO - Iter(train) [296700/480000] base_lr: 6.5099e-05 lr: 1.8359e-05 eta: 4 days, 12:50:42 time: 2.2551 data_time: 0.1512 memory: 26633 grad_norm: 1.2173 loss: 1.2938 grounding_loss_reg: 3.0065 detection_loss_cls: 0.0461 detection_loss_reg: 0.4380 caption_loss_cls: 2.3020 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7397 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:02:31 - mmengine - INFO - Iter(train) [296800/480000] base_lr: 6.5039e-05 lr: 1.8343e-05 eta: 4 days, 12:46:50 time: 2.2519 data_time: 0.1513 memory: 26633 grad_norm: 1.2220 loss: 1.3033 grounding_loss_reg: 3.0042 detection_loss_cls: 0.0462 detection_loss_reg: 0.4381 caption_loss_cls: 2.3029 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7402 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:06:09 - mmengine - INFO - Iter(train) [296900/480000] base_lr: 6.4978e-05 lr: 1.8328e-05 eta: 4 days, 12:44:40 time: 2.2569 data_time: 0.1514 memory: 26633 grad_norm: 1.2242 loss: 1.3006 grounding_loss_reg: 3.0045 detection_loss_cls: 0.0462 detection_loss_reg: 0.4387 caption_loss_cls: 2.3028 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7416 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:09:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 03:09:28 - mmengine - INFO - Iter(train) [297000/480000] base_lr: 6.4918e-05 lr: 1.8312e-05 eta: 4 days, 12:35:25 time: 2.2513 data_time: 0.1514 memory: 26633 grad_norm: 1.2224 loss: 1.3000 grounding_loss_reg: 3.0040 detection_loss_cls: 0.0462 detection_loss_reg: 0.4379 caption_loss_cls: 2.2984 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7409 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:09:28 - mmengine - INFO - Saving checkpoint at 297000 iterations 2023/10/30 03:14:45 - mmengine - INFO - Iter(train) [297100/480000] base_lr: 6.4858e-05 lr: 1.8296e-05 eta: 4 days, 13:10:53 time: 2.2644 data_time: 0.1511 memory: 26633 grad_norm: 1.2223 loss: 1.3007 grounding_loss_reg: 3.0011 detection_loss_cls: 0.0462 detection_loss_reg: 0.4377 caption_loss_cls: 2.2970 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7404 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:18:08 - mmengine - INFO - Iter(train) [297200/480000] base_lr: 6.4797e-05 lr: 1.8281e-05 eta: 4 days, 13:03:00 time: 2.2633 data_time: 0.1510 memory: 25794 grad_norm: 1.2217 loss: 1.2957 grounding_loss_reg: 3.0020 detection_loss_cls: 0.0462 detection_loss_reg: 0.4378 caption_loss_cls: 2.2967 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7399 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:21:49 - mmengine - INFO - Iter(train) [297300/480000] base_lr: 6.4737e-05 lr: 1.8265e-05 eta: 4 days, 13:01:32 time: 2.2693 data_time: 0.1510 memory: 26633 grad_norm: 1.2217 loss: 1.2930 grounding_loss_reg: 2.9983 detection_loss_cls: 0.0463 detection_loss_reg: 0.4368 caption_loss_cls: 2.2967 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7409 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:25:14 - mmengine - INFO - Iter(train) [297400/480000] base_lr: 6.4677e-05 lr: 1.8250e-05 eta: 4 days, 12:54:19 time: 2.2696 data_time: 0.1510 memory: 25794 grad_norm: 1.2176 loss: 1.2878 grounding_loss_reg: 2.9967 detection_loss_cls: 0.0463 detection_loss_reg: 0.4372 caption_loss_cls: 2.2926 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7415 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:28:21 - mmengine - INFO - Iter(train) [297500/480000] base_lr: 6.4617e-05 lr: 1.8234e-05 eta: 4 days, 12:41:00 time: 2.2678 data_time: 0.1510 memory: 25794 grad_norm: 1.2165 loss: 1.2861 grounding_loss_reg: 2.9960 detection_loss_cls: 0.0464 detection_loss_reg: 0.4378 caption_loss_cls: 2.2933 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7389 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:28:21 - mmengine - INFO - Saving checkpoint at 297500 iterations 2023/10/30 03:32:58 - mmengine - INFO - Iter(train) [297600/480000] base_lr: 6.4556e-05 lr: 1.8218e-05 eta: 4 days, 12:59:27 time: 2.2649 data_time: 0.1504 memory: 25794 grad_norm: 1.2137 loss: 1.2796 grounding_loss_reg: 2.9956 detection_loss_cls: 0.0464 detection_loss_reg: 0.4372 caption_loss_cls: 2.2939 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7382 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:36:16 - mmengine - INFO - Iter(train) [297700/480000] base_lr: 6.4496e-05 lr: 1.8203e-05 eta: 4 days, 12:49:53 time: 2.2607 data_time: 0.1500 memory: 26633 grad_norm: 1.2223 loss: 1.2868 grounding_loss_reg: 2.9958 detection_loss_cls: 0.0464 detection_loss_reg: 0.4373 caption_loss_cls: 2.2950 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:39:36 - mmengine - INFO - Iter(train) [297800/480000] base_lr: 6.4436e-05 lr: 1.8187e-05 eta: 4 days, 12:41:05 time: 2.2533 data_time: 0.1500 memory: 26633 grad_norm: 1.2289 loss: 1.2960 grounding_loss_reg: 2.9965 detection_loss_cls: 0.0464 detection_loss_reg: 0.4377 caption_loss_cls: 2.2973 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7384 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:43:13 - mmengine - INFO - Iter(train) [297900/480000] base_lr: 6.4376e-05 lr: 1.8171e-05 eta: 4 days, 12:38:21 time: 2.2572 data_time: 0.1500 memory: 25794 grad_norm: 1.2248 loss: 1.2893 grounding_loss_reg: 2.9938 detection_loss_cls: 0.0465 detection_loss_reg: 0.4390 caption_loss_cls: 2.2951 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7386 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:47:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 03:47:46 - mmengine - INFO - Iter(train) [298000/480000] base_lr: 6.4315e-05 lr: 1.8156e-05 eta: 4 days, 12:54:13 time: 2.2783 data_time: 0.1512 memory: 25794 grad_norm: 1.2094 loss: 1.2791 grounding_loss_reg: 2.9931 detection_loss_cls: 0.0464 detection_loss_reg: 0.4387 caption_loss_cls: 2.2942 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7387 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:47:46 - mmengine - INFO - Saving checkpoint at 298000 iterations 2023/10/30 03:52:38 - mmengine - INFO - Iter(train) [298100/480000] base_lr: 6.4255e-05 lr: 1.8140e-05 eta: 4 days, 13:16:04 time: 2.2785 data_time: 0.1510 memory: 26633 grad_norm: 1.2119 loss: 1.2780 grounding_loss_reg: 2.9923 detection_loss_cls: 0.0465 detection_loss_reg: 0.4389 caption_loss_cls: 2.2933 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7387 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:56:06 - mmengine - INFO - Iter(train) [298200/480000] base_lr: 6.4195e-05 lr: 1.8125e-05 eta: 4 days, 13:09:55 time: 2.2748 data_time: 0.1510 memory: 26633 grad_norm: 1.2120 loss: 1.2796 grounding_loss_reg: 2.9925 detection_loss_cls: 0.0466 detection_loss_reg: 0.4393 caption_loss_cls: 2.2935 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7402 semantic_segmentation_loss_cls: 0.0106 2023/10/30 03:59:41 - mmengine - INFO - Iter(train) [298300/480000] base_lr: 6.4135e-05 lr: 1.8109e-05 eta: 4 days, 13:05:48 time: 2.2704 data_time: 0.1510 memory: 25794 grad_norm: 1.2224 loss: 1.2873 grounding_loss_reg: 2.9932 detection_loss_cls: 0.0465 detection_loss_reg: 0.4385 caption_loss_cls: 2.2915 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0106 2023/10/30 04:03:00 - mmengine - INFO - Iter(train) [298400/480000] base_lr: 6.4075e-05 lr: 1.8093e-05 eta: 4 days, 12:56:40 time: 2.2695 data_time: 0.1511 memory: 25794 grad_norm: 1.2209 loss: 1.2876 grounding_loss_reg: 2.9924 detection_loss_cls: 0.0464 detection_loss_reg: 0.4381 caption_loss_cls: 2.2915 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7388 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:06:25 - mmengine - INFO - Iter(train) [298500/480000] base_lr: 6.4015e-05 lr: 1.8078e-05 eta: 4 days, 12:49:42 time: 2.2645 data_time: 0.1511 memory: 26633 grad_norm: 1.2256 loss: 1.2941 grounding_loss_reg: 2.9931 detection_loss_cls: 0.0463 detection_loss_reg: 0.4381 caption_loss_cls: 2.2906 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7389 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:06:25 - mmengine - INFO - Saving checkpoint at 298500 iterations 2023/10/30 04:11:26 - mmengine - INFO - Iter(train) [298600/480000] base_lr: 6.3955e-05 lr: 1.8062e-05 eta: 4 days, 13:12:51 time: 2.2659 data_time: 0.1511 memory: 26633 grad_norm: 1.2279 loss: 1.3029 grounding_loss_reg: 2.9932 detection_loss_cls: 0.0462 detection_loss_reg: 0.4375 caption_loss_cls: 2.2881 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7370 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:14:42 - mmengine - INFO - Iter(train) [298700/480000] base_lr: 6.3895e-05 lr: 1.8047e-05 eta: 4 days, 13:02:38 time: 2.2607 data_time: 0.1508 memory: 25794 grad_norm: 1.2295 loss: 1.3059 grounding_loss_reg: 2.9952 detection_loss_cls: 0.0464 detection_loss_reg: 0.4379 caption_loss_cls: 2.2850 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7379 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:18:53 - mmengine - INFO - Iter(train) [298800/480000] base_lr: 6.3834e-05 lr: 1.8031e-05 eta: 4 days, 13:09:34 time: 2.2695 data_time: 0.1509 memory: 26633 grad_norm: 1.2290 loss: 1.2957 grounding_loss_reg: 2.9935 detection_loss_cls: 0.0464 detection_loss_reg: 0.4392 caption_loss_cls: 2.2825 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7373 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:22:24 - mmengine - INFO - Iter(train) [298900/480000] base_lr: 6.3774e-05 lr: 1.8016e-05 eta: 4 days, 13:04:12 time: 2.2631 data_time: 0.1509 memory: 25794 grad_norm: 1.2308 loss: 1.2979 grounding_loss_reg: 2.9935 detection_loss_cls: 0.0462 detection_loss_reg: 0.4390 caption_loss_cls: 2.2855 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7364 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:25:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 04:25:58 - mmengine - INFO - Iter(train) [299000/480000] base_lr: 6.3714e-05 lr: 1.8000e-05 eta: 4 days, 12:59:53 time: 2.2655 data_time: 0.1509 memory: 26633 grad_norm: 1.2325 loss: 1.2991 grounding_loss_reg: 2.9916 detection_loss_cls: 0.0462 detection_loss_reg: 0.4398 caption_loss_cls: 2.2825 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7370 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:25:58 - mmengine - INFO - Saving checkpoint at 299000 iterations 2023/10/30 04:31:08 - mmengine - INFO - Iter(train) [299100/480000] base_lr: 6.3654e-05 lr: 1.7984e-05 eta: 4 days, 13:24:04 time: 2.2743 data_time: 0.1508 memory: 26633 grad_norm: 1.2306 loss: 1.2921 grounding_loss_reg: 2.9910 detection_loss_cls: 0.0463 detection_loss_reg: 0.4402 caption_loss_cls: 2.2776 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7379 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:34:53 - mmengine - INFO - Iter(train) [299200/480000] base_lr: 6.3594e-05 lr: 1.7969e-05 eta: 4 days, 13:22:25 time: 2.2740 data_time: 0.1508 memory: 26633 grad_norm: 1.2293 loss: 1.2876 grounding_loss_reg: 2.9903 detection_loss_cls: 0.0463 detection_loss_reg: 0.4404 caption_loss_cls: 2.2766 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7379 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:38:27 - mmengine - INFO - Iter(train) [299300/480000] base_lr: 6.3534e-05 lr: 1.7953e-05 eta: 4 days, 13:17:46 time: 2.2691 data_time: 0.1507 memory: 26633 grad_norm: 1.2275 loss: 1.2776 grounding_loss_reg: 2.9902 detection_loss_cls: 0.0465 detection_loss_reg: 0.4408 caption_loss_cls: 2.2765 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7364 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:41:40 - mmengine - INFO - Iter(train) [299400/480000] base_lr: 6.3474e-05 lr: 1.7938e-05 eta: 4 days, 13:07:01 time: 2.2665 data_time: 0.1508 memory: 26633 grad_norm: 1.2412 loss: 1.2927 grounding_loss_reg: 2.9902 detection_loss_cls: 0.0465 detection_loss_reg: 0.4418 caption_loss_cls: 2.2721 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:45:25 - mmengine - INFO - Iter(train) [299500/480000] base_lr: 6.3414e-05 lr: 1.7922e-05 eta: 4 days, 13:05:24 time: 2.2686 data_time: 0.1508 memory: 25794 grad_norm: 1.2426 loss: 1.2907 grounding_loss_reg: 2.9922 detection_loss_cls: 0.0466 detection_loss_reg: 0.4417 caption_loss_cls: 2.2662 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7362 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:45:25 - mmengine - INFO - Saving checkpoint at 299500 iterations 2023/10/30 04:49:45 - mmengine - INFO - Iter(train) [299600/480000] base_lr: 6.3355e-05 lr: 1.7907e-05 eta: 4 days, 13:13:49 time: 2.2648 data_time: 0.1505 memory: 25794 grad_norm: 1.2453 loss: 1.2908 grounding_loss_reg: 2.9937 detection_loss_cls: 0.0466 detection_loss_reg: 0.4424 caption_loss_cls: 2.2638 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7364 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:53:14 - mmengine - INFO - Iter(train) [299700/480000] base_lr: 6.3295e-05 lr: 1.7891e-05 eta: 4 days, 13:07:30 time: 2.2663 data_time: 0.1505 memory: 26633 grad_norm: 1.2456 loss: 1.2920 grounding_loss_reg: 2.9925 detection_loss_cls: 0.0466 detection_loss_reg: 0.4429 caption_loss_cls: 2.2572 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0105 2023/10/30 04:56:40 - mmengine - INFO - Iter(train) [299800/480000] base_lr: 6.3235e-05 lr: 1.7876e-05 eta: 4 days, 13:00:34 time: 2.2612 data_time: 0.1505 memory: 26633 grad_norm: 1.2528 loss: 1.2965 grounding_loss_reg: 2.9875 detection_loss_cls: 0.0466 detection_loss_reg: 0.4426 caption_loss_cls: 2.2583 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7384 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:00:11 - mmengine - INFO - Iter(train) [299900/480000] base_lr: 6.3175e-05 lr: 1.7860e-05 eta: 4 days, 12:55:08 time: 2.2637 data_time: 0.1505 memory: 25794 grad_norm: 1.2482 loss: 1.2909 grounding_loss_reg: 2.9883 detection_loss_cls: 0.0466 detection_loss_reg: 0.4434 caption_loss_cls: 2.2570 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7367 semantic_segmentation_loss_cls: 0.0105 2023/10/30 05:03:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 05:03:18 - mmengine - INFO - Iter(train) [300000/480000] base_lr: 6.3115e-05 lr: 1.7845e-05 eta: 4 days, 12:43:03 time: 2.2629 data_time: 0.1505 memory: 26633 grad_norm: 1.2368 loss: 1.2903 grounding_loss_reg: 2.9850 detection_loss_cls: 0.0467 detection_loss_reg: 0.4430 caption_loss_cls: 2.2554 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7369 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:03:18 - mmengine - INFO - Saving checkpoint at 300000 iterations 2023/10/30 05:09:10 - mmengine - INFO - Evaluating bbox... 2023/10/30 05:10:11 - mmengine - INFO - bbox_mAP_copypaste: 0.507 0.687 0.554 0.364 0.556 0.658 2023/10/30 05:10:11 - mmengine - INFO - Evaluating segm... 2023/10/30 05:11:27 - mmengine - INFO - segm_mAP_copypaste: 0.329 0.584 0.328 0.194 0.381 0.513 2023/10/30 05:13:19 - mmengine - INFO - Evaluating bbox... 2023/10/30 05:14:26 - mmengine - INFO - bbox_mAP_copypaste: 0.509 0.688 0.556 0.365 0.556 0.659 2023/10/30 05:18:49 - mmengine - INFO - per class results: 2023/10/30 05:18:49 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.81 | 88.84 | | building | 82.78 | 91.93 | | sky | 93.2 | 97.12 | | floor | 82.62 | 89.31 | | tree | 73.51 | 90.42 | | ceiling | 84.67 | 93.01 | | road | 86.45 | 91.21 | | bed | 88.37 | 94.77 | | windowpane | 63.63 | 76.36 | | grass | 68.77 | 86.18 | | cabinet | 60.22 | 68.77 | | sidewalk | 68.37 | 81.98 | | person | 80.91 | 90.27 | | earth | 39.38 | 48.24 | | door | 52.45 | 72.31 | | table | 62.37 | 80.77 | | mountain | 56.65 | 81.45 | | plant | 53.54 | 63.03 | | curtain | 72.91 | 88.26 | | chair | 57.54 | 70.81 | | car | 82.04 | 91.42 | | water | 57.52 | 72.99 | | painting | 71.79 | 83.43 | | sofa | 67.47 | 88.61 | | shelf | 44.63 | 64.53 | | house | 41.66 | 55.78 | | sea | 66.01 | 90.39 | | mirror | 68.84 | 85.8 | | rug | 67.7 | 79.04 | | field | 24.92 | 35.58 | | armchair | 42.94 | 54.69 | | seat | 65.29 | 85.81 | | fence | 44.16 | 57.45 | | desk | 51.9 | 63.68 | | rock | 37.73 | 49.68 | | wardrobe | 49.72 | 60.54 | | lamp | 59.22 | 77.62 | | bathtub | 78.28 | 88.46 | | railing | 39.15 | 54.86 | | cushion | 54.82 | 63.54 | | base | 23.66 | 32.15 | | box | 29.93 | 41.86 | | column | 46.89 | 59.27 | | signboard | 33.19 | 42.0 | | chest of drawers | 38.51 | 75.99 | | counter | 25.45 | 36.68 | | sand | 52.49 | 74.18 | | sink | 70.49 | 79.86 | | skyscraper | 52.74 | 61.85 | | fireplace | 70.38 | 85.72 | | refrigerator | 73.35 | 89.59 | | grandstand | 52.73 | 76.13 | | path | 27.36 | 33.52 | | stairs | 26.72 | 36.79 | | runway | 73.52 | 95.87 | | case | 40.86 | 51.81 | | pool table | 86.02 | 95.02 | | pillow | 51.95 | 71.03 | | screen door | 69.96 | 75.1 | | stairway | 31.55 | 47.8 | | river | 24.94 | 36.05 | | bridge | 53.21 | 81.35 | | bookcase | 32.05 | 44.24 | | blind | 42.8 | 52.77 | | coffee table | 62.03 | 74.4 | | toilet | 85.84 | 89.44 | | flower | 35.74 | 44.05 | | book | 44.87 | 67.59 | | hill | 3.56 | 5.82 | | bench | 51.35 | 61.11 | | countertop | 58.5 | 75.98 | | stove | 68.29 | 88.13 | | palm | 50.88 | 66.22 | | kitchen island | 37.37 | 85.91 | | computer | 73.98 | 85.23 | | swivel chair | 44.88 | 74.41 | | boat | 52.52 | 70.92 | | bar | 42.9 | 55.08 | | arcade machine | 73.51 | 86.04 | | hovel | 42.33 | 59.57 | | bus | 89.91 | 95.36 | | towel | 57.87 | 62.94 | | light | 48.57 | 59.26 | | truck | 40.64 | 66.21 | | tower | 39.91 | 59.96 | | chandelier | 58.44 | 70.01 | | awning | 23.65 | 25.47 | | streetlight | 27.14 | 33.13 | | booth | 30.23 | 40.34 | | television receiver | 66.39 | 86.43 | | airplane | 63.26 | 71.72 | | dirt track | 8.84 | 17.52 | | apparel | 32.37 | 44.71 | | pole | 26.77 | 37.16 | | land | 3.81 | 4.51 | | bannister | 10.94 | 13.05 | | escalator | 45.59 | 55.32 | | ottoman | 47.21 | 72.58 | | bottle | 25.29 | 29.04 | | buffet | 49.41 | 55.71 | | poster | 35.64 | 44.64 | | stage | 14.34 | 21.77 | | van | 34.96 | 40.0 | | ship | 21.62 | 27.69 | | fountain | 31.35 | 31.98 | | conveyer belt | 73.98 | 94.26 | | canopy | 30.42 | 35.12 | | washer | 62.86 | 63.53 | | plaything | 17.1 | 18.62 | | swimming pool | 73.3 | 86.83 | | stool | 42.98 | 61.81 | | barrel | 31.73 | 64.74 | | basket | 28.41 | 44.76 | | waterfall | 70.26 | 79.41 | | tent | 59.61 | 97.86 | | bag | 20.03 | 23.81 | | minibike | 72.7 | 84.17 | | cradle | 72.86 | 90.87 | | oven | 25.29 | 27.42 | | ball | 48.0 | 67.15 | | food | 39.49 | 44.17 | | step | 15.6 | 27.73 | | tank | 42.42 | 58.81 | | trade name | 23.88 | 27.51 | | microwave | 87.75 | 93.56 | | pot | 55.2 | 73.29 | | animal | 61.71 | 64.95 | | bicycle | 59.39 | 77.11 | | lake | 4.49 | 4.49 | | dishwasher | 67.26 | 74.43 | | screen | 54.76 | 87.11 | | blanket | 5.87 | 6.3 | | sculpture | 69.8 | 79.35 | | hood | 65.48 | 86.06 | | sconce | 31.16 | 35.62 | | vase | 42.4 | 50.18 | | traffic light | 33.75 | 45.06 | | tray | 10.34 | 29.37 | | ashcan | 40.71 | 53.67 | | fan | 58.21 | 70.35 | | pier | 49.28 | 57.96 | | crt screen | 7.52 | 10.92 | | plate | 52.34 | 61.38 | | monitor | 17.31 | 22.1 | | bulletin board | 40.55 | 43.97 | | shower | 0.83 | 2.18 | | radiator | 59.7 | 67.41 | | glass | 16.14 | 17.61 | | clock | 20.03 | 21.32 | | flag | 61.27 | 66.47 | +---------------------+-------+-------+ 2023/10/30 05:19:13 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:17 time: 1.2110 data_time: 0.0340 memory: 27910 2023/10/30 05:19:34 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5090 coco/bbox_mAP_50: 0.6880 coco/bbox_mAP_75: 0.5560 coco/bbox_mAP_s: 0.3650 coco/bbox_mAP_m: 0.5560 coco/bbox_mAP_l: 0.6590 coco/segm_mAP: 0.3290 coco/segm_mAP_50: 0.5840 coco/segm_mAP_75: 0.3280 coco/segm_mAP_s: 0.1940 coco/segm_mAP_m: 0.3810 coco/segm_mAP_l: 0.5130 Bleu_1: 0.7654 Bleu_2: 0.5991 Bleu_3: 0.4565 Bleu_4: 0.3446 METEOR: 0.2802 ROUGE_L: 0.5661 CIDEr: 1.1529 SPICE: 0.2106 aAcc: 83.4300 mIoU: 48.9300 mAcc: 61.2200 visual-grounding/miou: 0.7761 visual-grounding/acc: 0.8530 data_time: 0.0017 time: 0.2330 2023/10/30 05:22:53 - mmengine - INFO - Iter(train) [300100/480000] base_lr: 6.3055e-05 lr: 1.7829e-05 eta: 4 days, 12:35:54 time: 2.2495 data_time: 0.1345 memory: 25795 grad_norm: 1.2313 loss: 1.2805 grounding_loss_reg: 2.9826 detection_loss_cls: 0.0466 detection_loss_reg: 0.4429 caption_loss_cls: 2.2558 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7360 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:26:15 - mmengine - INFO - Iter(train) [300200/480000] base_lr: 6.2995e-05 lr: 1.7814e-05 eta: 4 days, 12:28:03 time: 2.2504 data_time: 0.1345 memory: 26632 grad_norm: 1.2311 loss: 1.2778 grounding_loss_reg: 2.9823 detection_loss_cls: 0.0464 detection_loss_reg: 0.4416 caption_loss_cls: 2.2537 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7368 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:29:28 - mmengine - INFO - Iter(train) [300300/480000] base_lr: 6.2935e-05 lr: 1.7798e-05 eta: 4 days, 12:17:59 time: 2.2401 data_time: 0.1344 memory: 25795 grad_norm: 1.2330 loss: 1.2784 grounding_loss_reg: 2.9824 detection_loss_cls: 0.0465 detection_loss_reg: 0.4415 caption_loss_cls: 2.2542 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7358 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:32:54 - mmengine - INFO - Iter(train) [300400/480000] base_lr: 6.2876e-05 lr: 1.7783e-05 eta: 4 days, 12:11:22 time: 2.2353 data_time: 0.1345 memory: 25795 grad_norm: 1.2317 loss: 1.2776 grounding_loss_reg: 2.9799 detection_loss_cls: 0.0463 detection_loss_reg: 0.4407 caption_loss_cls: 2.2507 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7363 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:36:33 - mmengine - INFO - Iter(train) [300500/480000] base_lr: 6.2816e-05 lr: 1.7767e-05 eta: 4 days, 12:08:19 time: 2.2348 data_time: 0.1345 memory: 25795 grad_norm: 1.2243 loss: 1.2687 grounding_loss_reg: 2.9797 detection_loss_cls: 0.0464 detection_loss_reg: 0.4406 caption_loss_cls: 2.2499 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7366 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:36:33 - mmengine - INFO - Saving checkpoint at 300500 iterations 2023/10/30 05:40:58 - mmengine - INFO - Iter(train) [300600/480000] base_lr: 6.2756e-05 lr: 1.7752e-05 eta: 4 days, 12:17:18 time: 2.2371 data_time: 0.1342 memory: 26632 grad_norm: 1.2292 loss: 1.2690 grounding_loss_reg: 2.9814 detection_loss_cls: 0.0464 detection_loss_reg: 0.4403 caption_loss_cls: 2.2468 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7370 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:44:22 - mmengine - INFO - Iter(train) [300700/480000] base_lr: 6.2696e-05 lr: 1.7736e-05 eta: 4 days, 12:10:09 time: 2.2375 data_time: 0.1342 memory: 26632 grad_norm: 1.2236 loss: 1.2649 grounding_loss_reg: 2.9814 detection_loss_cls: 0.0463 detection_loss_reg: 0.4398 caption_loss_cls: 2.2477 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7372 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:48:49 - mmengine - INFO - Iter(train) [300800/480000] base_lr: 6.2637e-05 lr: 1.7721e-05 eta: 4 days, 12:19:06 time: 2.2510 data_time: 0.1343 memory: 26632 grad_norm: 1.2151 loss: 1.2580 grounding_loss_reg: 2.9805 detection_loss_cls: 0.0463 detection_loss_reg: 0.4397 caption_loss_cls: 2.2496 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7383 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:52:26 - mmengine - INFO - Iter(train) [300900/480000] base_lr: 6.2577e-05 lr: 1.7705e-05 eta: 4 days, 12:15:20 time: 2.2509 data_time: 0.1343 memory: 25795 grad_norm: 1.2105 loss: 1.2586 grounding_loss_reg: 2.9793 detection_loss_cls: 0.0464 detection_loss_reg: 0.4406 caption_loss_cls: 2.2484 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7395 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:55:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 05:55:30 - mmengine - INFO - Iter(train) [301000/480000] base_lr: 6.2517e-05 lr: 1.7690e-05 eta: 4 days, 12:03:25 time: 2.2472 data_time: 0.1342 memory: 26632 grad_norm: 1.2189 loss: 1.2593 grounding_loss_reg: 2.9781 detection_loss_cls: 0.0462 detection_loss_reg: 0.4396 caption_loss_cls: 2.2482 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7387 semantic_segmentation_loss_cls: 0.0104 2023/10/30 05:55:30 - mmengine - INFO - Saving checkpoint at 301000 iterations 2023/10/30 06:00:15 - mmengine - INFO - Iter(train) [301100/480000] base_lr: 6.2457e-05 lr: 1.7674e-05 eta: 4 days, 12:16:23 time: 2.2391 data_time: 0.1349 memory: 26632 grad_norm: 1.2163 loss: 1.2586 grounding_loss_reg: 2.9768 detection_loss_cls: 0.0462 detection_loss_reg: 0.4400 caption_loss_cls: 2.2497 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7380 semantic_segmentation_loss_cls: 0.0104 2023/10/30 06:03:35 - mmengine - INFO - Iter(train) [301200/480000] base_lr: 6.2398e-05 lr: 1.7659e-05 eta: 4 days, 12:08:20 time: 2.2382 data_time: 0.1349 memory: 25795 grad_norm: 1.2211 loss: 1.2596 grounding_loss_reg: 2.9725 detection_loss_cls: 0.0462 detection_loss_reg: 0.4402 caption_loss_cls: 2.2493 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7356 semantic_segmentation_loss_cls: 0.0104 2023/10/30 06:07:24 - mmengine - INFO - Iter(train) [301300/480000] base_lr: 6.2338e-05 lr: 1.7643e-05 eta: 4 days, 12:07:26 time: 2.2403 data_time: 0.1349 memory: 26632 grad_norm: 1.2231 loss: 1.2613 grounding_loss_reg: 2.9724 detection_loss_cls: 0.0463 detection_loss_reg: 0.4402 caption_loss_cls: 2.2446 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7348 semantic_segmentation_loss_cls: 0.0104 2023/10/30 06:11:14 - mmengine - INFO - Iter(train) [301400/480000] base_lr: 6.2278e-05 lr: 1.7628e-05 eta: 4 days, 12:06:37 time: 2.2465 data_time: 0.1351 memory: 25795 grad_norm: 1.2254 loss: 1.2621 grounding_loss_reg: 2.9730 detection_loss_cls: 0.0463 detection_loss_reg: 0.4401 caption_loss_cls: 2.2459 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7334 semantic_segmentation_loss_cls: 0.0104 2023/10/30 06:14:40 - mmengine - INFO - Iter(train) [301500/480000] base_lr: 6.2219e-05 lr: 1.7612e-05 eta: 4 days, 12:00:08 time: 2.2511 data_time: 0.1351 memory: 25795 grad_norm: 1.2222 loss: 1.2621 grounding_loss_reg: 2.9722 detection_loss_cls: 0.0463 detection_loss_reg: 0.4408 caption_loss_cls: 2.2462 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7330 semantic_segmentation_loss_cls: 0.0104 2023/10/30 06:14:40 - mmengine - INFO - Saving checkpoint at 301500 iterations 2023/10/30 06:19:17 - mmengine - INFO - Iter(train) [301600/480000] base_lr: 6.2159e-05 lr: 1.7597e-05 eta: 4 days, 12:10:38 time: 2.2514 data_time: 0.1361 memory: 25795 grad_norm: 1.2306 loss: 1.2666 grounding_loss_reg: 2.9734 detection_loss_cls: 0.0462 detection_loss_reg: 0.4404 caption_loss_cls: 2.2430 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7333 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:22:36 - mmengine - INFO - Iter(train) [301700/480000] base_lr: 6.2100e-05 lr: 1.7581e-05 eta: 4 days, 12:02:20 time: 2.2515 data_time: 0.1362 memory: 26632 grad_norm: 1.2293 loss: 1.2659 grounding_loss_reg: 2.9757 detection_loss_cls: 0.0462 detection_loss_reg: 0.4402 caption_loss_cls: 2.2439 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7339 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:26:48 - mmengine - INFO - Iter(train) [301800/480000] base_lr: 6.2040e-05 lr: 1.7566e-05 eta: 4 days, 12:06:42 time: 2.2647 data_time: 0.1363 memory: 26632 grad_norm: 1.2165 loss: 1.2564 grounding_loss_reg: 2.9756 detection_loss_cls: 0.0461 detection_loss_reg: 0.4405 caption_loss_cls: 2.2430 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7353 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:30:36 - mmengine - INFO - Iter(train) [301900/480000] base_lr: 6.1980e-05 lr: 1.7550e-05 eta: 4 days, 12:05:05 time: 2.2672 data_time: 0.1363 memory: 26632 grad_norm: 1.2122 loss: 1.2567 grounding_loss_reg: 2.9728 detection_loss_cls: 0.0462 detection_loss_reg: 0.4412 caption_loss_cls: 2.2439 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7341 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:33:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 06:33:39 - mmengine - INFO - Iter(train) [302000/480000] base_lr: 6.1921e-05 lr: 1.7535e-05 eta: 4 days, 11:53:27 time: 2.2449 data_time: 0.1351 memory: 26632 grad_norm: 1.2205 loss: 1.2578 grounding_loss_reg: 2.9734 detection_loss_cls: 0.0462 detection_loss_reg: 0.4415 caption_loss_cls: 2.2440 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7325 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:33:39 - mmengine - INFO - Saving checkpoint at 302000 iterations 2023/10/30 06:38:39 - mmengine - INFO - Iter(train) [302100/480000] base_lr: 6.1861e-05 lr: 1.7520e-05 eta: 4 days, 12:08:14 time: 2.2468 data_time: 0.1355 memory: 26632 grad_norm: 1.2244 loss: 1.2571 grounding_loss_reg: 2.9709 detection_loss_cls: 0.0464 detection_loss_reg: 0.4421 caption_loss_cls: 2.2437 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7335 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:42:17 - mmengine - INFO - Iter(train) [302200/480000] base_lr: 6.1802e-05 lr: 1.7504e-05 eta: 4 days, 12:04:27 time: 2.2493 data_time: 0.1355 memory: 25795 grad_norm: 1.2308 loss: 1.2593 grounding_loss_reg: 2.9714 detection_loss_cls: 0.0464 detection_loss_reg: 0.4425 caption_loss_cls: 2.2417 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7342 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:45:29 - mmengine - INFO - Iter(train) [302300/480000] base_lr: 6.1742e-05 lr: 1.7489e-05 eta: 4 days, 11:54:49 time: 2.2436 data_time: 0.1354 memory: 26632 grad_norm: 1.2293 loss: 1.2571 grounding_loss_reg: 2.9725 detection_loss_cls: 0.0465 detection_loss_reg: 0.4436 caption_loss_cls: 2.2371 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7346 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:49:20 - mmengine - INFO - Iter(train) [302400/480000] base_lr: 6.1683e-05 lr: 1.7473e-05 eta: 4 days, 11:53:55 time: 2.2516 data_time: 0.1355 memory: 26632 grad_norm: 1.2253 loss: 1.2555 grounding_loss_reg: 2.9720 detection_loss_cls: 0.0465 detection_loss_reg: 0.4428 caption_loss_cls: 2.2370 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7330 semantic_segmentation_loss_cls: 0.0105 2023/10/30 06:52:47 - mmengine - INFO - Iter(train) [302500/480000] base_lr: 6.1623e-05 lr: 1.7458e-05 eta: 4 days, 11:47:42 time: 2.2520 data_time: 0.1355 memory: 26632 grad_norm: 1.2275 loss: 1.2523 grounding_loss_reg: 2.9704 detection_loss_cls: 0.0466 detection_loss_reg: 0.4421 caption_loss_cls: 2.2345 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7336 semantic_segmentation_loss_cls: 0.0104 2023/10/30 06:52:47 - mmengine - INFO - Saving checkpoint at 302500 iterations 2023/10/30 06:57:31 - mmengine - INFO - Iter(train) [302600/480000] base_lr: 6.1564e-05 lr: 1.7443e-05 eta: 4 days, 11:58:13 time: 2.2478 data_time: 0.1356 memory: 25795 grad_norm: 1.2276 loss: 1.2483 grounding_loss_reg: 2.9698 detection_loss_cls: 0.0466 detection_loss_reg: 0.4423 caption_loss_cls: 2.2346 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7351 semantic_segmentation_loss_cls: 0.0104 2023/10/30 07:01:01 - mmengine - INFO - Iter(train) [302700/480000] base_lr: 6.1505e-05 lr: 1.7427e-05 eta: 4 days, 11:52:36 time: 2.2514 data_time: 0.1356 memory: 26632 grad_norm: 1.2283 loss: 1.2478 grounding_loss_reg: 2.9704 detection_loss_cls: 0.0467 detection_loss_reg: 0.4423 caption_loss_cls: 2.2354 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7333 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:04:53 - mmengine - INFO - Iter(train) [302800/480000] base_lr: 6.1445e-05 lr: 1.7412e-05 eta: 4 days, 11:51:46 time: 2.2467 data_time: 0.1355 memory: 25795 grad_norm: 1.2230 loss: 1.2522 grounding_loss_reg: 2.9712 detection_loss_cls: 0.0470 detection_loss_reg: 0.4429 caption_loss_cls: 2.2375 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7334 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:08:41 - mmengine - INFO - Iter(train) [302900/480000] base_lr: 6.1386e-05 lr: 1.7396e-05 eta: 4 days, 11:49:49 time: 2.2508 data_time: 0.1356 memory: 25795 grad_norm: 1.2228 loss: 1.2505 grounding_loss_reg: 2.9691 detection_loss_cls: 0.0467 detection_loss_reg: 0.4427 caption_loss_cls: 2.2418 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7331 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:12:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 07:12:20 - mmengine - INFO - Iter(train) [303000/480000] base_lr: 6.1326e-05 lr: 1.7381e-05 eta: 4 days, 11:46:13 time: 2.2520 data_time: 0.1355 memory: 26632 grad_norm: 1.2169 loss: 1.2443 grounding_loss_reg: 2.9670 detection_loss_cls: 0.0471 detection_loss_reg: 0.4431 caption_loss_cls: 2.2382 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7329 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:12:20 - mmengine - INFO - Saving checkpoint at 303000 iterations 2023/10/30 07:17:00 - mmengine - INFO - Iter(train) [303100/480000] base_lr: 6.1267e-05 lr: 1.7366e-05 eta: 4 days, 11:55:14 time: 2.2445 data_time: 0.1357 memory: 26632 grad_norm: 1.2249 loss: 1.2479 grounding_loss_reg: 2.9661 detection_loss_cls: 0.0469 detection_loss_reg: 0.4415 caption_loss_cls: 2.2382 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7322 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:20:38 - mmengine - INFO - Iter(train) [303200/480000] base_lr: 6.1208e-05 lr: 1.7350e-05 eta: 4 days, 11:51:10 time: 2.2428 data_time: 0.1357 memory: 25795 grad_norm: 1.2258 loss: 1.2514 grounding_loss_reg: 2.9656 detection_loss_cls: 0.0469 detection_loss_reg: 0.4417 caption_loss_cls: 2.2372 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7313 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:24:11 - mmengine - INFO - Iter(train) [303300/480000] base_lr: 6.1148e-05 lr: 1.7335e-05 eta: 4 days, 11:46:17 time: 2.2426 data_time: 0.1356 memory: 25795 grad_norm: 1.2299 loss: 1.2501 grounding_loss_reg: 2.9656 detection_loss_cls: 0.0467 detection_loss_reg: 0.4408 caption_loss_cls: 2.2322 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7320 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:27:46 - mmengine - INFO - Iter(train) [303400/480000] base_lr: 6.1089e-05 lr: 1.7319e-05 eta: 4 days, 11:41:37 time: 2.2480 data_time: 0.1356 memory: 25795 grad_norm: 1.2138 loss: 1.2364 grounding_loss_reg: 2.9649 detection_loss_cls: 0.0466 detection_loss_reg: 0.4403 caption_loss_cls: 2.2354 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7308 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:31:39 - mmengine - INFO - Iter(train) [303500/480000] base_lr: 6.1030e-05 lr: 1.7304e-05 eta: 4 days, 11:40:43 time: 2.2502 data_time: 0.1356 memory: 26632 grad_norm: 1.2113 loss: 1.2375 grounding_loss_reg: 2.9653 detection_loss_cls: 0.0470 detection_loss_reg: 0.4418 caption_loss_cls: 2.2325 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7298 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:31:39 - mmengine - INFO - Saving checkpoint at 303500 iterations 2023/10/30 07:36:58 - mmengine - INFO - Iter(train) [303600/480000] base_lr: 6.0971e-05 lr: 1.7289e-05 eta: 4 days, 11:57:00 time: 2.2648 data_time: 0.1362 memory: 25795 grad_norm: 1.2015 loss: 1.2336 grounding_loss_reg: 2.9639 detection_loss_cls: 0.0470 detection_loss_reg: 0.4422 caption_loss_cls: 2.2276 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7311 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:40:26 - mmengine - INFO - Iter(train) [303700/480000] base_lr: 6.0911e-05 lr: 1.7273e-05 eta: 4 days, 11:50:53 time: 2.2647 data_time: 0.1363 memory: 25795 grad_norm: 1.2048 loss: 1.2354 grounding_loss_reg: 2.9609 detection_loss_cls: 0.0468 detection_loss_reg: 0.4405 caption_loss_cls: 2.2262 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7318 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:44:13 - mmengine - INFO - Iter(train) [303800/480000] base_lr: 6.0852e-05 lr: 1.7258e-05 eta: 4 days, 11:48:29 time: 2.2699 data_time: 0.1362 memory: 26632 grad_norm: 1.2013 loss: 1.2363 grounding_loss_reg: 2.9600 detection_loss_cls: 0.0468 detection_loss_reg: 0.4420 caption_loss_cls: 2.2273 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7313 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:48:22 - mmengine - INFO - Iter(train) [303900/480000] base_lr: 6.0793e-05 lr: 1.7243e-05 eta: 4 days, 11:50:28 time: 2.2793 data_time: 0.1361 memory: 26632 grad_norm: 1.2027 loss: 1.2378 grounding_loss_reg: 2.9607 detection_loss_cls: 0.0470 detection_loss_reg: 0.4435 caption_loss_cls: 2.2298 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7299 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:52:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 07:52:32 - mmengine - INFO - Iter(train) [304000/480000] base_lr: 6.0734e-05 lr: 1.7227e-05 eta: 4 days, 11:52:40 time: 2.2953 data_time: 0.1361 memory: 26632 grad_norm: 1.2048 loss: 1.2357 grounding_loss_reg: 2.9609 detection_loss_cls: 0.0470 detection_loss_reg: 0.4436 caption_loss_cls: 2.2278 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7285 semantic_segmentation_loss_cls: 0.0105 2023/10/30 07:52:32 - mmengine - INFO - Saving checkpoint at 304000 iterations 2023/10/30 07:58:00 - mmengine - INFO - Iter(train) [304100/480000] base_lr: 6.0674e-05 lr: 1.7212e-05 eta: 4 days, 12:09:48 time: 2.3261 data_time: 0.1518 memory: 25795 grad_norm: 1.2075 loss: 1.2341 grounding_loss_reg: 2.9592 detection_loss_cls: 0.0468 detection_loss_reg: 0.4429 caption_loss_cls: 2.2277 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.7275 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:01:48 - mmengine - INFO - Iter(train) [304200/480000] base_lr: 6.0615e-05 lr: 1.7197e-05 eta: 4 days, 12:07:15 time: 2.3326 data_time: 0.1517 memory: 26632 grad_norm: 1.2009 loss: 1.2332 grounding_loss_reg: 2.9584 detection_loss_cls: 0.0468 detection_loss_reg: 0.4426 caption_loss_cls: 2.2307 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7290 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:05:21 - mmengine - INFO - Iter(train) [304300/480000] base_lr: 6.0556e-05 lr: 1.7181e-05 eta: 4 days, 12:01:59 time: 2.3376 data_time: 0.1520 memory: 25795 grad_norm: 1.2041 loss: 1.2341 grounding_loss_reg: 2.9577 detection_loss_cls: 0.0468 detection_loss_reg: 0.4417 caption_loss_cls: 2.2333 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7289 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:09:14 - mmengine - INFO - Iter(train) [304400/480000] base_lr: 6.0497e-05 lr: 1.7166e-05 eta: 4 days, 12:00:35 time: 2.3446 data_time: 0.1520 memory: 25795 grad_norm: 1.2046 loss: 1.2356 grounding_loss_reg: 2.9577 detection_loss_cls: 0.0467 detection_loss_reg: 0.4412 caption_loss_cls: 2.2323 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7291 semantic_segmentation_loss_cls: 0.0104 2023/10/30 08:12:53 - mmengine - INFO - Iter(train) [304500/480000] base_lr: 6.0438e-05 lr: 1.7151e-05 eta: 4 days, 11:56:24 time: 2.3446 data_time: 0.1522 memory: 26632 grad_norm: 1.2111 loss: 1.2482 grounding_loss_reg: 2.9590 detection_loss_cls: 0.0466 detection_loss_reg: 0.4406 caption_loss_cls: 2.2314 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7313 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:12:53 - mmengine - INFO - Saving checkpoint at 304500 iterations 2023/10/30 08:17:35 - mmengine - INFO - Iter(train) [304600/480000] base_lr: 6.0379e-05 lr: 1.7135e-05 eta: 4 days, 12:03:55 time: 2.3484 data_time: 0.1512 memory: 26632 grad_norm: 1.2039 loss: 1.2401 grounding_loss_reg: 2.9587 detection_loss_cls: 0.0465 detection_loss_reg: 0.4399 caption_loss_cls: 2.2277 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7324 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:20:47 - mmengine - INFO - Iter(train) [304700/480000] base_lr: 6.0320e-05 lr: 1.7120e-05 eta: 4 days, 11:54:49 time: 2.3457 data_time: 0.1512 memory: 26632 grad_norm: 1.2060 loss: 1.2436 grounding_loss_reg: 2.9567 detection_loss_cls: 0.0464 detection_loss_reg: 0.4392 caption_loss_cls: 2.2315 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7330 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:24:16 - mmengine - INFO - Iter(train) [304800/480000] base_lr: 6.0261e-05 lr: 1.7105e-05 eta: 4 days, 11:48:39 time: 2.3311 data_time: 0.1510 memory: 26632 grad_norm: 1.2079 loss: 1.2475 grounding_loss_reg: 2.9563 detection_loss_cls: 0.0466 detection_loss_reg: 0.4398 caption_loss_cls: 2.2316 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7335 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:27:31 - mmengine - INFO - Iter(train) [304900/480000] base_lr: 6.0202e-05 lr: 1.7089e-05 eta: 4 days, 11:40:04 time: 2.3256 data_time: 0.1509 memory: 26632 grad_norm: 1.2108 loss: 1.2482 grounding_loss_reg: 2.9557 detection_loss_cls: 0.0466 detection_loss_reg: 0.4403 caption_loss_cls: 2.2288 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7350 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:31:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 08:31:01 - mmengine - INFO - Iter(train) [305000/480000] base_lr: 6.0143e-05 lr: 1.7074e-05 eta: 4 days, 11:34:17 time: 2.3320 data_time: 0.1510 memory: 26632 grad_norm: 1.1997 loss: 1.2407 grounding_loss_reg: 2.9559 detection_loss_cls: 0.0467 detection_loss_reg: 0.4407 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7350 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:31:01 - mmengine - INFO - Saving checkpoint at 305000 iterations 2023/10/30 08:35:47 - mmengine - INFO - Iter(train) [305100/480000] base_lr: 6.0084e-05 lr: 1.7059e-05 eta: 4 days, 11:42:20 time: 2.3323 data_time: 0.1504 memory: 25795 grad_norm: 1.2021 loss: 1.2444 grounding_loss_reg: 2.9548 detection_loss_cls: 0.0468 detection_loss_reg: 0.4413 caption_loss_cls: 2.2266 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7349 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:39:24 - mmengine - INFO - Iter(train) [305200/480000] base_lr: 6.0025e-05 lr: 1.7043e-05 eta: 4 days, 11:37:50 time: 2.3367 data_time: 0.1504 memory: 26632 grad_norm: 1.2047 loss: 1.2489 grounding_loss_reg: 2.9541 detection_loss_cls: 0.0468 detection_loss_reg: 0.4415 caption_loss_cls: 2.2285 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7355 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:42:49 - mmengine - INFO - Iter(train) [305300/480000] base_lr: 5.9966e-05 lr: 1.7028e-05 eta: 4 days, 11:31:13 time: 2.3308 data_time: 0.1503 memory: 26632 grad_norm: 1.2068 loss: 1.2513 grounding_loss_reg: 2.9522 detection_loss_cls: 0.0468 detection_loss_reg: 0.4416 caption_loss_cls: 2.2279 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7349 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:46:08 - mmengine - INFO - Iter(train) [305400/480000] base_lr: 5.9907e-05 lr: 1.7013e-05 eta: 4 days, 11:23:26 time: 2.3230 data_time: 0.1502 memory: 25795 grad_norm: 1.2158 loss: 1.2601 grounding_loss_reg: 2.9516 detection_loss_cls: 0.0468 detection_loss_reg: 0.4410 caption_loss_cls: 2.2291 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7360 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:49:49 - mmengine - INFO - Iter(train) [305500/480000] base_lr: 5.9848e-05 lr: 1.6998e-05 eta: 4 days, 11:19:45 time: 2.3269 data_time: 0.1502 memory: 25795 grad_norm: 1.2186 loss: 1.2639 grounding_loss_reg: 2.9522 detection_loss_cls: 0.0466 detection_loss_reg: 0.4403 caption_loss_cls: 2.2306 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7365 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:49:49 - mmengine - INFO - Saving checkpoint at 305500 iterations 2023/10/30 08:54:48 - mmengine - INFO - Iter(train) [305600/480000] base_lr: 5.9789e-05 lr: 1.6982e-05 eta: 4 days, 11:29:33 time: 2.3321 data_time: 0.1487 memory: 26632 grad_norm: 1.2088 loss: 1.2642 grounding_loss_reg: 2.9519 detection_loss_cls: 0.0466 detection_loss_reg: 0.4400 caption_loss_cls: 2.2317 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7380 semantic_segmentation_loss_cls: 0.0105 2023/10/30 08:57:53 - mmengine - INFO - Iter(train) [305700/480000] base_lr: 5.9730e-05 lr: 1.6967e-05 eta: 4 days, 11:19:25 time: 2.3287 data_time: 0.1486 memory: 25795 grad_norm: 1.2075 loss: 1.2649 grounding_loss_reg: 2.9522 detection_loss_cls: 0.0465 detection_loss_reg: 0.4397 caption_loss_cls: 2.2336 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7394 semantic_segmentation_loss_cls: 0.0105 2023/10/30 09:01:18 - mmengine - INFO - Iter(train) [305800/480000] base_lr: 5.9671e-05 lr: 1.6952e-05 eta: 4 days, 11:12:46 time: 2.3167 data_time: 0.1484 memory: 25795 grad_norm: 1.2184 loss: 1.2679 grounding_loss_reg: 2.9494 detection_loss_cls: 0.0466 detection_loss_reg: 0.4404 caption_loss_cls: 2.2327 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0105 2023/10/30 09:04:22 - mmengine - INFO - Iter(train) [305900/480000] base_lr: 5.9612e-05 lr: 1.6936e-05 eta: 4 days, 11:02:47 time: 2.3061 data_time: 0.1483 memory: 26632 grad_norm: 1.2241 loss: 1.2678 grounding_loss_reg: 2.9486 detection_loss_cls: 0.0466 detection_loss_reg: 0.4403 caption_loss_cls: 2.2302 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:07:49 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 09:07:49 - mmengine - INFO - Iter(train) [306000/480000] base_lr: 5.9553e-05 lr: 1.6921e-05 eta: 4 days, 10:56:30 time: 2.3118 data_time: 0.1483 memory: 26632 grad_norm: 1.2227 loss: 1.2732 grounding_loss_reg: 2.9482 detection_loss_cls: 0.0466 detection_loss_reg: 0.4410 caption_loss_cls: 2.2269 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7385 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:07:49 - mmengine - INFO - Saving checkpoint at 306000 iterations 2023/10/30 09:12:21 - mmengine - INFO - Iter(train) [306100/480000] base_lr: 5.9494e-05 lr: 1.6906e-05 eta: 4 days, 11:01:27 time: 2.3050 data_time: 0.1470 memory: 25795 grad_norm: 1.2267 loss: 1.2813 grounding_loss_reg: 2.9473 detection_loss_cls: 0.0468 detection_loss_reg: 0.4417 caption_loss_cls: 2.2289 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7398 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:15:38 - mmengine - INFO - Iter(train) [306200/480000] base_lr: 5.9436e-05 lr: 1.6891e-05 eta: 4 days, 10:53:34 time: 2.2996 data_time: 0.1470 memory: 25795 grad_norm: 1.2219 loss: 1.2791 grounding_loss_reg: 2.9454 detection_loss_cls: 0.0467 detection_loss_reg: 0.4414 caption_loss_cls: 2.2270 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7404 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:19:17 - mmengine - INFO - Iter(train) [306300/480000] base_lr: 5.9377e-05 lr: 1.6875e-05 eta: 4 days, 10:49:32 time: 2.3064 data_time: 0.1470 memory: 26632 grad_norm: 1.2226 loss: 1.2833 grounding_loss_reg: 2.9434 detection_loss_cls: 0.0467 detection_loss_reg: 0.4410 caption_loss_cls: 2.2273 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7408 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:22:31 - mmengine - INFO - Iter(train) [306400/480000] base_lr: 5.9318e-05 lr: 1.6860e-05 eta: 4 days, 10:41:13 time: 2.2970 data_time: 0.1469 memory: 25795 grad_norm: 1.2267 loss: 1.2866 grounding_loss_reg: 2.9419 detection_loss_cls: 0.0466 detection_loss_reg: 0.4404 caption_loss_cls: 2.2307 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7398 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:25:58 - mmengine - INFO - Iter(train) [306500/480000] base_lr: 5.9259e-05 lr: 1.6845e-05 eta: 4 days, 10:35:15 time: 2.2972 data_time: 0.1468 memory: 26632 grad_norm: 1.2249 loss: 1.2907 grounding_loss_reg: 2.9412 detection_loss_cls: 0.0465 detection_loss_reg: 0.4399 caption_loss_cls: 2.2305 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7403 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:25:58 - mmengine - INFO - Saving checkpoint at 306500 iterations 2023/10/30 09:30:34 - mmengine - INFO - Iter(train) [306600/480000] base_lr: 5.9201e-05 lr: 1.6830e-05 eta: 4 days, 10:40:27 time: 2.2950 data_time: 0.1457 memory: 25795 grad_norm: 1.2245 loss: 1.2892 grounding_loss_reg: 2.9405 detection_loss_cls: 0.0466 detection_loss_reg: 0.4400 caption_loss_cls: 2.2266 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7397 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:34:36 - mmengine - INFO - Iter(train) [306700/480000] base_lr: 5.9142e-05 lr: 1.6815e-05 eta: 4 days, 10:40:10 time: 2.3031 data_time: 0.1460 memory: 26632 grad_norm: 1.2163 loss: 1.2827 grounding_loss_reg: 2.9399 detection_loss_cls: 0.0467 detection_loss_reg: 0.4405 caption_loss_cls: 2.2255 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7402 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:38:04 - mmengine - INFO - Iter(train) [306800/480000] base_lr: 5.9083e-05 lr: 1.6799e-05 eta: 4 days, 10:34:18 time: 2.2971 data_time: 0.1460 memory: 26632 grad_norm: 1.2218 loss: 1.2833 grounding_loss_reg: 2.9385 detection_loss_cls: 0.0468 detection_loss_reg: 0.4411 caption_loss_cls: 2.2233 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7390 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:41:20 - mmengine - INFO - Iter(train) [306900/480000] base_lr: 5.9024e-05 lr: 1.6784e-05 eta: 4 days, 10:26:30 time: 2.2894 data_time: 0.1459 memory: 25795 grad_norm: 1.2273 loss: 1.2846 grounding_loss_reg: 2.9359 detection_loss_cls: 0.0468 detection_loss_reg: 0.4414 caption_loss_cls: 2.2190 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7393 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:45:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 09:45:04 - mmengine - INFO - Iter(train) [307000/480000] base_lr: 5.8966e-05 lr: 1.6769e-05 eta: 4 days, 10:23:10 time: 2.2904 data_time: 0.1459 memory: 26632 grad_norm: 1.2274 loss: 1.2892 grounding_loss_reg: 2.9350 detection_loss_cls: 0.0469 detection_loss_reg: 0.4423 caption_loss_cls: 2.2216 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7390 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:45:04 - mmengine - INFO - Saving checkpoint at 307000 iterations 2023/10/30 09:49:42 - mmengine - INFO - Iter(train) [307100/480000] base_lr: 5.8907e-05 lr: 1.6754e-05 eta: 4 days, 10:28:30 time: 2.2900 data_time: 0.1449 memory: 25795 grad_norm: 1.2253 loss: 1.2905 grounding_loss_reg: 2.9336 detection_loss_cls: 0.0468 detection_loss_reg: 0.4419 caption_loss_cls: 2.2212 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7386 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:52:46 - mmengine - INFO - Iter(train) [307200/480000] base_lr: 5.8848e-05 lr: 1.6738e-05 eta: 4 days, 10:18:48 time: 2.2815 data_time: 0.1449 memory: 25795 grad_norm: 1.2302 loss: 1.2940 grounding_loss_reg: 2.9332 detection_loss_cls: 0.0467 detection_loss_reg: 0.4417 caption_loss_cls: 2.2179 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7376 semantic_segmentation_loss_cls: 0.0104 2023/10/30 09:56:27 - mmengine - INFO - Iter(train) [307300/480000] base_lr: 5.8790e-05 lr: 1.6723e-05 eta: 4 days, 10:15:06 time: 2.2834 data_time: 0.1449 memory: 26632 grad_norm: 1.2258 loss: 1.2938 grounding_loss_reg: 2.9319 detection_loss_cls: 0.0465 detection_loss_reg: 0.4407 caption_loss_cls: 2.2205 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7368 semantic_segmentation_loss_cls: 0.0103 2023/10/30 10:00:21 - mmengine - INFO - Iter(train) [307400/480000] base_lr: 5.8731e-05 lr: 1.6708e-05 eta: 4 days, 10:13:14 time: 2.2880 data_time: 0.1449 memory: 26632 grad_norm: 1.2197 loss: 1.2834 grounding_loss_reg: 2.9310 detection_loss_cls: 0.0462 detection_loss_reg: 0.4399 caption_loss_cls: 2.2176 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7365 semantic_segmentation_loss_cls: 0.0103 2023/10/30 10:03:54 - mmengine - INFO - Iter(train) [307500/480000] base_lr: 5.8673e-05 lr: 1.6693e-05 eta: 4 days, 10:08:14 time: 2.2830 data_time: 0.1449 memory: 26632 grad_norm: 1.2237 loss: 1.2868 grounding_loss_reg: 2.9314 detection_loss_cls: 0.0462 detection_loss_reg: 0.4399 caption_loss_cls: 2.2188 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7364 semantic_segmentation_loss_cls: 0.0103 2023/10/30 10:03:54 - mmengine - INFO - Saving checkpoint at 307500 iterations 2023/10/30 10:09:04 - mmengine - INFO - Iter(train) [307600/480000] base_lr: 5.8614e-05 lr: 1.6678e-05 eta: 4 days, 10:18:09 time: 2.2808 data_time: 0.1444 memory: 26632 grad_norm: 1.2222 loss: 1.2870 grounding_loss_reg: 2.9332 detection_loss_cls: 0.0465 detection_loss_reg: 0.4429 caption_loss_cls: 2.2219 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7367 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:12:38 - mmengine - INFO - Iter(train) [307700/480000] base_lr: 5.8556e-05 lr: 1.6663e-05 eta: 4 days, 10:13:18 time: 2.2824 data_time: 0.1444 memory: 26632 grad_norm: 1.2219 loss: 1.2920 grounding_loss_reg: 2.9333 detection_loss_cls: 0.0468 detection_loss_reg: 0.4430 caption_loss_cls: 2.2192 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7363 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:16:16 - mmengine - INFO - Iter(train) [307800/480000] base_lr: 5.8497e-05 lr: 1.6647e-05 eta: 4 days, 10:09:02 time: 2.2803 data_time: 0.1444 memory: 25795 grad_norm: 1.2174 loss: 1.2860 grounding_loss_reg: 2.9326 detection_loss_cls: 0.0469 detection_loss_reg: 0.4438 caption_loss_cls: 2.2187 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7361 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:19:45 - mmengine - INFO - Iter(train) [307900/480000] base_lr: 5.8438e-05 lr: 1.6632e-05 eta: 4 days, 10:03:23 time: 2.2703 data_time: 0.1444 memory: 25795 grad_norm: 1.2176 loss: 1.2854 grounding_loss_reg: 2.9326 detection_loss_cls: 0.0471 detection_loss_reg: 0.4451 caption_loss_cls: 2.2182 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7375 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:22:57 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 10:22:57 - mmengine - INFO - Iter(train) [308000/480000] base_lr: 5.8380e-05 lr: 1.6617e-05 eta: 4 days, 9:55:10 time: 2.2556 data_time: 0.1444 memory: 26632 grad_norm: 1.2141 loss: 1.2852 grounding_loss_reg: 2.9331 detection_loss_cls: 0.0470 detection_loss_reg: 0.4450 caption_loss_cls: 2.2175 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7352 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:22:57 - mmengine - INFO - Saving checkpoint at 308000 iterations 2023/10/30 10:27:32 - mmengine - INFO - Iter(train) [308100/480000] base_lr: 5.8322e-05 lr: 1.6602e-05 eta: 4 days, 9:59:23 time: 2.2423 data_time: 0.1443 memory: 25795 grad_norm: 1.2121 loss: 1.2897 grounding_loss_reg: 2.9332 detection_loss_cls: 0.0472 detection_loss_reg: 0.4454 caption_loss_cls: 2.2145 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7319 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:32:07 - mmengine - INFO - Iter(train) [308200/480000] base_lr: 5.8263e-05 lr: 1.6587e-05 eta: 4 days, 10:03:36 time: 2.2542 data_time: 0.1444 memory: 26632 grad_norm: 1.2150 loss: 1.2944 grounding_loss_reg: 2.9337 detection_loss_cls: 0.0472 detection_loss_reg: 0.4460 caption_loss_cls: 2.2154 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7313 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:35:55 - mmengine - INFO - Iter(train) [308300/480000] base_lr: 5.8205e-05 lr: 1.6572e-05 eta: 4 days, 10:00:48 time: 2.2580 data_time: 0.1442 memory: 25795 grad_norm: 1.2135 loss: 1.2970 grounding_loss_reg: 2.9332 detection_loss_cls: 0.0472 detection_loss_reg: 0.4460 caption_loss_cls: 2.2154 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7320 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:39:33 - mmengine - INFO - Iter(train) [308400/480000] base_lr: 5.8146e-05 lr: 1.6556e-05 eta: 4 days, 9:56:22 time: 2.2540 data_time: 0.1441 memory: 26632 grad_norm: 1.2107 loss: 1.2887 grounding_loss_reg: 2.9331 detection_loss_cls: 0.0472 detection_loss_reg: 0.4459 caption_loss_cls: 2.2115 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7328 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:43:09 - mmengine - INFO - Iter(train) [308500/480000] base_lr: 5.8088e-05 lr: 1.6541e-05 eta: 4 days, 9:51:45 time: 2.2533 data_time: 0.1439 memory: 26632 grad_norm: 1.2095 loss: 1.2832 grounding_loss_reg: 2.9336 detection_loss_cls: 0.0469 detection_loss_reg: 0.4444 caption_loss_cls: 2.2104 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7324 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:43:09 - mmengine - INFO - Saving checkpoint at 308500 iterations 2023/10/30 10:48:00 - mmengine - INFO - Iter(train) [308600/480000] base_lr: 5.8029e-05 lr: 1.6526e-05 eta: 4 days, 9:58:03 time: 2.2557 data_time: 0.1438 memory: 25795 grad_norm: 1.2033 loss: 1.2825 grounding_loss_reg: 2.9336 detection_loss_cls: 0.0469 detection_loss_reg: 0.4438 caption_loss_cls: 2.2099 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7351 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:51:52 - mmengine - INFO - Iter(train) [308700/480000] base_lr: 5.7971e-05 lr: 1.6511e-05 eta: 4 days, 9:55:41 time: 2.2655 data_time: 0.1439 memory: 26632 grad_norm: 1.1985 loss: 1.2789 grounding_loss_reg: 2.9334 detection_loss_cls: 0.0470 detection_loss_reg: 0.4444 caption_loss_cls: 2.2101 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7340 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:55:18 - mmengine - INFO - Iter(train) [308800/480000] base_lr: 5.7913e-05 lr: 1.6496e-05 eta: 4 days, 9:49:35 time: 2.2650 data_time: 0.1438 memory: 26632 grad_norm: 1.2046 loss: 1.2729 grounding_loss_reg: 2.9315 detection_loss_cls: 0.0470 detection_loss_reg: 0.4442 caption_loss_cls: 2.2092 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7316 semantic_segmentation_loss_cls: 0.0104 2023/10/30 10:59:01 - mmengine - INFO - Iter(train) [308900/480000] base_lr: 5.7854e-05 lr: 1.6481e-05 eta: 4 days, 9:45:58 time: 2.2720 data_time: 0.1438 memory: 25795 grad_norm: 1.1968 loss: 1.2681 grounding_loss_reg: 2.9311 detection_loss_cls: 0.0469 detection_loss_reg: 0.4437 caption_loss_cls: 2.2130 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7322 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:02:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 11:02:35 - mmengine - INFO - Iter(train) [309000/480000] base_lr: 5.7796e-05 lr: 1.6466e-05 eta: 4 days, 9:41:05 time: 2.2731 data_time: 0.1438 memory: 26632 grad_norm: 1.1946 loss: 1.2682 grounding_loss_reg: 2.9307 detection_loss_cls: 0.0467 detection_loss_reg: 0.4428 caption_loss_cls: 2.2120 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7357 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:02:35 - mmengine - INFO - Saving checkpoint at 309000 iterations 2023/10/30 11:06:51 - mmengine - INFO - Iter(train) [309100/480000] base_lr: 5.7738e-05 lr: 1.6451e-05 eta: 4 days, 9:42:08 time: 2.2656 data_time: 0.1428 memory: 26632 grad_norm: 1.2031 loss: 1.2677 grounding_loss_reg: 2.9274 detection_loss_cls: 0.0467 detection_loss_reg: 0.4429 caption_loss_cls: 2.2139 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7346 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:10:27 - mmengine - INFO - Iter(train) [309200/480000] base_lr: 5.7680e-05 lr: 1.6435e-05 eta: 4 days, 9:37:29 time: 2.2653 data_time: 0.1428 memory: 26632 grad_norm: 1.1894 loss: 1.2583 grounding_loss_reg: 2.9266 detection_loss_cls: 0.0466 detection_loss_reg: 0.4423 caption_loss_cls: 2.2123 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7347 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:13:49 - mmengine - INFO - Iter(train) [309300/480000] base_lr: 5.7621e-05 lr: 1.6420e-05 eta: 4 days, 9:30:48 time: 2.2643 data_time: 0.1428 memory: 26632 grad_norm: 1.1810 loss: 1.2519 grounding_loss_reg: 2.9262 detection_loss_cls: 0.0466 detection_loss_reg: 0.4420 caption_loss_cls: 2.2081 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7351 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:17:33 - mmengine - INFO - Iter(train) [309400/480000] base_lr: 5.7563e-05 lr: 1.6405e-05 eta: 4 days, 9:27:21 time: 2.2708 data_time: 0.1429 memory: 26632 grad_norm: 1.1740 loss: 1.2448 grounding_loss_reg: 2.9275 detection_loss_cls: 0.0465 detection_loss_reg: 0.4413 caption_loss_cls: 2.2087 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7329 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:21:15 - mmengine - INFO - Iter(train) [309500/480000] base_lr: 5.7505e-05 lr: 1.6390e-05 eta: 4 days, 9:23:29 time: 2.2708 data_time: 0.1428 memory: 26632 grad_norm: 1.1704 loss: 1.2386 grounding_loss_reg: 2.9280 detection_loss_cls: 0.0465 detection_loss_reg: 0.4407 caption_loss_cls: 2.2114 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7311 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:21:15 - mmengine - INFO - Saving checkpoint at 309500 iterations 2023/10/30 11:25:47 - mmengine - INFO - Iter(train) [309600/480000] base_lr: 5.7447e-05 lr: 1.6375e-05 eta: 4 days, 9:26:39 time: 2.2643 data_time: 0.1432 memory: 26632 grad_norm: 1.1758 loss: 1.2450 grounding_loss_reg: 2.9265 detection_loss_cls: 0.0465 detection_loss_reg: 0.4416 caption_loss_cls: 2.2123 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7338 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:29:15 - mmengine - INFO - Iter(train) [309700/480000] base_lr: 5.7388e-05 lr: 1.6360e-05 eta: 4 days, 9:20:53 time: 2.2700 data_time: 0.1433 memory: 25795 grad_norm: 1.1705 loss: 1.2401 grounding_loss_reg: 2.9263 detection_loss_cls: 0.0465 detection_loss_reg: 0.4417 caption_loss_cls: 2.2105 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7350 semantic_segmentation_loss_cls: 0.0104 2023/10/30 11:33:11 - mmengine - INFO - Iter(train) [309800/480000] base_lr: 5.7330e-05 lr: 1.6345e-05 eta: 4 days, 9:18:57 time: 2.2778 data_time: 0.1433 memory: 26632 grad_norm: 1.1652 loss: 1.2398 grounding_loss_reg: 2.9231 detection_loss_cls: 0.0462 detection_loss_reg: 0.4408 caption_loss_cls: 2.2130 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7342 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:36:44 - mmengine - INFO - Iter(train) [309900/480000] base_lr: 5.7272e-05 lr: 1.6330e-05 eta: 4 days, 9:13:55 time: 2.2848 data_time: 0.1434 memory: 26632 grad_norm: 1.1659 loss: 1.2391 grounding_loss_reg: 2.9181 detection_loss_cls: 0.0462 detection_loss_reg: 0.4411 caption_loss_cls: 2.2112 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7336 semantic_segmentation_loss_cls: 0.0103 2023/10/30 11:40:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 11:40:19 - mmengine - INFO - Iter(train) [310000/480000] base_lr: 5.7214e-05 lr: 1.6315e-05 eta: 4 days, 9:09:07 time: 2.2869 data_time: 0.1434 memory: 26632 grad_norm: 1.1687 loss: 1.2412 grounding_loss_reg: 2.9166 detection_loss_cls: 0.0462 detection_loss_reg: 0.4412 caption_loss_cls: 2.2103 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7337 semantic_segmentation_loss_cls: 0.0104 2023/10/30 11:40:19 - mmengine - INFO - Saving checkpoint at 310000 iterations 2023/10/30 11:46:28 - mmengine - INFO - Evaluating bbox... 2023/10/30 11:47:32 - mmengine - INFO - bbox_mAP_copypaste: 0.516 0.691 0.565 0.352 0.559 0.668 2023/10/30 11:47:32 - mmengine - INFO - Evaluating segm... 2023/10/30 11:48:46 - mmengine - INFO - segm_mAP_copypaste: 0.329 0.595 0.323 0.198 0.368 0.481 2023/10/30 11:50:09 - mmengine - INFO - Evaluating bbox... 2023/10/30 11:51:13 - mmengine - INFO - bbox_mAP_copypaste: 0.517 0.692 0.567 0.355 0.561 0.670 2023/10/30 11:54:27 - mmengine - INFO - per class results: 2023/10/30 11:54:27 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.04 | 90.26 | | building | 82.97 | 91.06 | | sky | 93.13 | 97.54 | | floor | 82.83 | 88.83 | | tree | 73.68 | 89.86 | | ceiling | 85.04 | 93.41 | | road | 84.19 | 87.36 | | bed | 89.53 | 94.69 | | windowpane | 63.82 | 81.83 | | grass | 69.44 | 83.54 | | cabinet | 61.56 | 70.76 | | sidewalk | 66.86 | 80.03 | | person | 80.8 | 92.22 | | earth | 40.63 | 56.67 | | door | 52.52 | 63.26 | | table | 63.86 | 76.79 | | mountain | 58.23 | 72.98 | | plant | 53.59 | 68.38 | | curtain | 75.7 | 86.43 | | chair | 58.66 | 70.87 | | car | 81.33 | 91.39 | | water | 60.8 | 78.99 | | painting | 72.13 | 86.36 | | sofa | 69.31 | 77.03 | | shelf | 41.43 | 54.65 | | house | 42.15 | 65.8 | | sea | 59.83 | 74.07 | | mirror | 69.43 | 80.65 | | rug | 71.88 | 86.41 | | field | 24.67 | 34.29 | | armchair | 47.84 | 72.39 | | seat | 64.49 | 81.04 | | fence | 45.49 | 62.95 | | desk | 51.84 | 67.83 | | rock | 43.09 | 68.13 | | wardrobe | 47.77 | 58.38 | | lamp | 60.48 | 73.83 | | bathtub | 82.94 | 90.73 | | railing | 33.78 | 49.03 | | cushion | 53.01 | 61.56 | | base | 29.06 | 44.1 | | box | 29.07 | 34.93 | | column | 46.51 | 52.71 | | signboard | 37.54 | 53.64 | | chest of drawers | 38.65 | 72.03 | | counter | 21.05 | 30.96 | | sand | 54.65 | 82.96 | | sink | 75.03 | 87.78 | | skyscraper | 53.83 | 62.37 | | fireplace | 68.76 | 83.43 | | refrigerator | 73.54 | 85.56 | | grandstand | 52.38 | 74.15 | | path | 25.87 | 38.06 | | stairs | 32.45 | 43.25 | | runway | 76.86 | 95.3 | | case | 42.62 | 51.48 | | pool table | 86.67 | 95.73 | | pillow | 56.46 | 76.75 | | screen door | 53.83 | 54.66 | | stairway | 30.53 | 39.45 | | river | 21.7 | 29.17 | | bridge | 59.99 | 88.49 | | bookcase | 36.45 | 54.03 | | blind | 41.7 | 47.04 | | coffee table | 62.07 | 80.39 | | toilet | 86.79 | 93.49 | | flower | 36.61 | 53.21 | | book | 45.77 | 69.38 | | hill | 5.85 | 8.9 | | bench | 47.98 | 64.65 | | countertop | 58.48 | 67.94 | | stove | 72.65 | 79.26 | | palm | 51.51 | 72.48 | | kitchen island | 43.74 | 78.35 | | computer | 73.77 | 88.05 | | swivel chair | 47.9 | 68.5 | | boat | 58.81 | 77.65 | | bar | 46.04 | 62.07 | | arcade machine | 69.36 | 73.15 | | hovel | 17.74 | 19.59 | | bus | 92.49 | 96.23 | | towel | 59.42 | 71.34 | | light | 48.23 | 55.75 | | truck | 39.67 | 67.24 | | tower | 28.78 | 42.81 | | chandelier | 61.67 | 75.99 | | awning | 26.07 | 29.78 | | streetlight | 29.83 | 35.41 | | booth | 36.63 | 39.92 | | television receiver | 71.68 | 85.45 | | airplane | 61.7 | 70.48 | | dirt track | 3.57 | 16.53 | | apparel | 33.58 | 44.71 | | pole | 28.18 | 39.5 | | land | 2.1 | 2.39 | | bannister | 9.78 | 12.86 | | escalator | 39.6 | 51.02 | | ottoman | 50.0 | 69.79 | | bottle | 29.56 | 38.09 | | buffet | 50.59 | 62.93 | | poster | 26.71 | 39.22 | | stage | 7.92 | 16.46 | | van | 28.79 | 32.53 | | ship | 72.58 | 82.44 | | fountain | 33.93 | 34.82 | | conveyer belt | 76.7 | 92.04 | | canopy | 30.08 | 39.86 | | washer | 71.15 | 73.39 | | plaything | 23.09 | 26.86 | | swimming pool | 69.69 | 89.57 | | stool | 46.79 | 65.95 | | barrel | 32.08 | 64.93 | | basket | 30.38 | 47.72 | | waterfall | 68.0 | 91.43 | | tent | 89.51 | 96.63 | | bag | 23.1 | 26.71 | | minibike | 74.77 | 87.66 | | cradle | 75.87 | 90.73 | | oven | 48.04 | 68.74 | | ball | 47.58 | 62.82 | | food | 57.76 | 69.38 | | step | 10.37 | 13.14 | | tank | 44.52 | 59.14 | | trade name | 16.23 | 17.31 | | microwave | 88.17 | 94.69 | | pot | 52.51 | 60.85 | | animal | 64.9 | 70.34 | | bicycle | 60.48 | 79.0 | | lake | 11.57 | 13.18 | | dishwasher | 65.41 | 78.34 | | screen | 76.74 | 86.08 | | blanket | 9.7 | 10.5 | | sculpture | 67.47 | 83.86 | | hood | 59.76 | 70.08 | | sconce | 32.54 | 37.54 | | vase | 43.28 | 57.89 | | traffic light | 36.18 | 53.32 | | tray | 13.81 | 24.15 | | ashcan | 47.58 | 63.53 | | fan | 58.02 | 67.08 | | pier | 29.82 | 34.83 | | crt screen | 6.46 | 14.13 | | plate | 57.97 | 74.45 | | monitor | 8.83 | 9.33 | | bulletin board | 51.2 | 69.21 | | shower | 0.56 | 4.69 | | radiator | 60.27 | 74.72 | | glass | 16.78 | 17.87 | | clock | 27.59 | 34.29 | | flag | 68.79 | 77.03 | +---------------------+-------+-------+ 2023/10/30 11:54:51 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:23 time: 1.1885 data_time: 0.0326 memory: 27910 2023/10/30 11:55:12 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5170 coco/bbox_mAP_50: 0.6920 coco/bbox_mAP_75: 0.5670 coco/bbox_mAP_s: 0.3550 coco/bbox_mAP_m: 0.5610 coco/bbox_mAP_l: 0.6700 coco/segm_mAP: 0.3290 coco/segm_mAP_50: 0.5950 coco/segm_mAP_75: 0.3230 coco/segm_mAP_s: 0.1980 coco/segm_mAP_m: 0.3680 coco/segm_mAP_l: 0.4810 Bleu_1: 0.7628 Bleu_2: 0.5959 Bleu_3: 0.4516 Bleu_4: 0.3384 METEOR: 0.2780 ROUGE_L: 0.5639 CIDEr: 1.1313 SPICE: 0.2071 aAcc: 83.6100 mIoU: 50.2300 mAcc: 62.3100 visual-grounding/miou: 0.7684 visual-grounding/acc: 0.8415 data_time: 0.0069 time: 0.2367 2023/10/30 11:58:27 - mmengine - INFO - Iter(train) [310100/480000] base_lr: 5.7156e-05 lr: 1.6300e-05 eta: 4 days, 9:02:19 time: 2.2688 data_time: 0.1285 memory: 26632 grad_norm: 1.1698 loss: 1.2391 grounding_loss_reg: 2.9148 detection_loss_cls: 0.0462 detection_loss_reg: 0.4423 caption_loss_cls: 2.2090 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7338 semantic_segmentation_loss_cls: 0.0104 2023/10/30 12:01:37 - mmengine - INFO - Iter(train) [310200/480000] base_lr: 5.7098e-05 lr: 1.6285e-05 eta: 4 days, 8:54:16 time: 2.2671 data_time: 0.1284 memory: 26632 grad_norm: 1.1719 loss: 1.2448 grounding_loss_reg: 2.9146 detection_loss_cls: 0.0459 detection_loss_reg: 0.4409 caption_loss_cls: 2.2129 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7332 semantic_segmentation_loss_cls: 0.0104 2023/10/30 12:05:13 - mmengine - INFO - Iter(train) [310300/480000] base_lr: 5.7040e-05 lr: 1.6270e-05 eta: 4 days, 8:49:40 time: 2.2662 data_time: 0.1284 memory: 26632 grad_norm: 1.1633 loss: 1.2382 grounding_loss_reg: 2.9139 detection_loss_cls: 0.0458 detection_loss_reg: 0.4409 caption_loss_cls: 2.2126 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7336 semantic_segmentation_loss_cls: 0.0104 2023/10/30 12:10:28 - mmengine - INFO - Iter(train) [310400/480000] base_lr: 5.6982e-05 lr: 1.6255e-05 eta: 4 days, 8:58:15 time: 2.2967 data_time: 0.1303 memory: 26632 grad_norm: 1.1662 loss: 1.2362 grounding_loss_reg: 2.9124 detection_loss_cls: 0.0458 detection_loss_reg: 0.4409 caption_loss_cls: 2.2110 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7337 semantic_segmentation_loss_cls: 0.0104 2023/10/30 12:14:16 - mmengine - INFO - Iter(train) [310500/480000] base_lr: 5.6924e-05 lr: 1.6239e-05 eta: 4 days, 8:55:07 time: 2.3016 data_time: 0.1303 memory: 25795 grad_norm: 1.1656 loss: 1.2325 grounding_loss_reg: 2.9131 detection_loss_cls: 0.0457 detection_loss_reg: 0.4407 caption_loss_cls: 2.2124 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7330 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:14:16 - mmengine - INFO - Saving checkpoint at 310500 iterations 2023/10/30 12:19:00 - mmengine - INFO - Iter(train) [310600/480000] base_lr: 5.6866e-05 lr: 1.6224e-05 eta: 4 days, 8:59:27 time: 2.3039 data_time: 0.1299 memory: 25795 grad_norm: 1.1702 loss: 1.2351 grounding_loss_reg: 2.9126 detection_loss_cls: 0.0457 detection_loss_reg: 0.4404 caption_loss_cls: 2.2121 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7325 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:22:37 - mmengine - INFO - Iter(train) [310700/480000] base_lr: 5.6808e-05 lr: 1.6209e-05 eta: 4 days, 8:54:58 time: 2.2976 data_time: 0.1296 memory: 25795 grad_norm: 1.1757 loss: 1.2366 grounding_loss_reg: 2.9112 detection_loss_cls: 0.0457 detection_loss_reg: 0.4404 caption_loss_cls: 2.2088 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7327 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:26:36 - mmengine - INFO - Iter(train) [310800/480000] base_lr: 5.6750e-05 lr: 1.6194e-05 eta: 4 days, 8:53:17 time: 2.3053 data_time: 0.1318 memory: 26632 grad_norm: 1.1754 loss: 1.2397 grounding_loss_reg: 2.9108 detection_loss_cls: 0.0458 detection_loss_reg: 0.4395 caption_loss_cls: 2.2107 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7323 semantic_segmentation_loss_cls: 0.0104 2023/10/30 12:30:17 - mmengine - INFO - Iter(train) [310900/480000] base_lr: 5.6692e-05 lr: 1.6179e-05 eta: 4 days, 8:49:15 time: 2.3115 data_time: 0.1318 memory: 26632 grad_norm: 1.1719 loss: 1.2372 grounding_loss_reg: 2.9120 detection_loss_cls: 0.0457 detection_loss_reg: 0.4389 caption_loss_cls: 2.2100 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7330 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:33:47 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 12:33:47 - mmengine - INFO - Iter(train) [311000/480000] base_lr: 5.6634e-05 lr: 1.6164e-05 eta: 4 days, 8:43:47 time: 2.3079 data_time: 0.1318 memory: 26632 grad_norm: 1.1749 loss: 1.2351 grounding_loss_reg: 2.9115 detection_loss_cls: 0.0456 detection_loss_reg: 0.4386 caption_loss_cls: 2.2137 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7310 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:33:47 - mmengine - INFO - Saving checkpoint at 311000 iterations 2023/10/30 12:38:16 - mmengine - INFO - Iter(train) [311100/480000] base_lr: 5.6576e-05 lr: 1.6149e-05 eta: 4 days, 8:45:53 time: 2.3056 data_time: 0.1319 memory: 26632 grad_norm: 1.1695 loss: 1.2335 grounding_loss_reg: 2.9117 detection_loss_cls: 0.0455 detection_loss_reg: 0.4392 caption_loss_cls: 2.2142 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7311 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:42:17 - mmengine - INFO - Iter(train) [311200/480000] base_lr: 5.6518e-05 lr: 1.6134e-05 eta: 4 days, 8:44:30 time: 2.3201 data_time: 0.1320 memory: 26632 grad_norm: 1.1612 loss: 1.2267 grounding_loss_reg: 2.9111 detection_loss_cls: 0.0456 detection_loss_reg: 0.4393 caption_loss_cls: 2.2127 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7280 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:46:13 - mmengine - INFO - Iter(train) [311300/480000] base_lr: 5.6460e-05 lr: 1.6119e-05 eta: 4 days, 8:42:19 time: 2.3237 data_time: 0.1320 memory: 25795 grad_norm: 1.1603 loss: 1.2262 grounding_loss_reg: 2.9114 detection_loss_cls: 0.0455 detection_loss_reg: 0.4390 caption_loss_cls: 2.2132 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7279 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:49:47 - mmengine - INFO - Iter(train) [311400/480000] base_lr: 5.6402e-05 lr: 1.6104e-05 eta: 4 days, 8:37:26 time: 2.3189 data_time: 0.1319 memory: 25795 grad_norm: 1.1684 loss: 1.2404 grounding_loss_reg: 2.9109 detection_loss_cls: 0.0455 detection_loss_reg: 0.4394 caption_loss_cls: 2.2145 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:53:28 - mmengine - INFO - Iter(train) [311500/480000] base_lr: 5.6344e-05 lr: 1.6089e-05 eta: 4 days, 8:33:25 time: 2.3209 data_time: 0.1319 memory: 25795 grad_norm: 1.1701 loss: 1.2392 grounding_loss_reg: 2.9110 detection_loss_cls: 0.0454 detection_loss_reg: 0.4381 caption_loss_cls: 2.2168 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7254 semantic_segmentation_loss_cls: 0.0103 2023/10/30 12:53:28 - mmengine - INFO - Saving checkpoint at 311500 iterations 2023/10/30 12:58:01 - mmengine - INFO - Iter(train) [311600/480000] base_lr: 5.6287e-05 lr: 1.6074e-05 eta: 4 days, 8:35:49 time: 2.3117 data_time: 0.1314 memory: 25795 grad_norm: 1.1741 loss: 1.2391 grounding_loss_reg: 2.9108 detection_loss_cls: 0.0453 detection_loss_reg: 0.4381 caption_loss_cls: 2.2158 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7266 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:02:29 - mmengine - INFO - Iter(train) [311700/480000] base_lr: 5.6229e-05 lr: 1.6059e-05 eta: 4 days, 8:37:36 time: 2.3251 data_time: 0.1338 memory: 26632 grad_norm: 1.1731 loss: 1.2334 grounding_loss_reg: 2.9110 detection_loss_cls: 0.0454 detection_loss_reg: 0.4377 caption_loss_cls: 2.2115 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7264 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:06:11 - mmengine - INFO - Iter(train) [311800/480000] base_lr: 5.6171e-05 lr: 1.6044e-05 eta: 4 days, 8:33:34 time: 2.3259 data_time: 0.1338 memory: 25795 grad_norm: 1.1704 loss: 1.2333 grounding_loss_reg: 2.9107 detection_loss_cls: 0.0454 detection_loss_reg: 0.4385 caption_loss_cls: 2.2122 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7274 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:09:51 - mmengine - INFO - Iter(train) [311900/480000] base_lr: 5.6113e-05 lr: 1.6029e-05 eta: 4 days, 8:29:24 time: 2.3287 data_time: 0.1338 memory: 25795 grad_norm: 1.1688 loss: 1.2279 grounding_loss_reg: 2.9084 detection_loss_cls: 0.0456 detection_loss_reg: 0.4390 caption_loss_cls: 2.2130 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:13:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 13:13:19 - mmengine - INFO - Iter(train) [312000/480000] base_lr: 5.6056e-05 lr: 1.6014e-05 eta: 4 days, 8:23:45 time: 2.3327 data_time: 0.1338 memory: 26632 grad_norm: 1.1715 loss: 1.2299 grounding_loss_reg: 2.9045 detection_loss_cls: 0.0456 detection_loss_reg: 0.4389 caption_loss_cls: 2.2148 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7272 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:13:19 - mmengine - INFO - Saving checkpoint at 312000 iterations 2023/10/30 13:17:43 - mmengine - INFO - Iter(train) [312100/480000] base_lr: 5.5998e-05 lr: 1.5999e-05 eta: 4 days, 8:24:54 time: 2.3301 data_time: 0.1334 memory: 25795 grad_norm: 1.1776 loss: 1.2299 grounding_loss_reg: 2.9039 detection_loss_cls: 0.0456 detection_loss_reg: 0.4388 caption_loss_cls: 2.2119 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7280 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:21:03 - mmengine - INFO - Iter(train) [312200/480000] base_lr: 5.5940e-05 lr: 1.5984e-05 eta: 4 days, 8:18:19 time: 2.3114 data_time: 0.1332 memory: 25795 grad_norm: 1.1815 loss: 1.2271 grounding_loss_reg: 2.9026 detection_loss_cls: 0.0456 detection_loss_reg: 0.4384 caption_loss_cls: 2.2146 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7288 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:24:37 - mmengine - INFO - Iter(train) [312300/480000] base_lr: 5.5882e-05 lr: 1.5970e-05 eta: 4 days, 8:13:25 time: 2.3078 data_time: 0.1332 memory: 26632 grad_norm: 1.1901 loss: 1.2318 grounding_loss_reg: 2.9001 detection_loss_cls: 0.0456 detection_loss_reg: 0.4382 caption_loss_cls: 2.2144 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7312 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:27:45 - mmengine - INFO - Iter(train) [312400/480000] base_lr: 5.5825e-05 lr: 1.5955e-05 eta: 4 days, 8:05:21 time: 2.3003 data_time: 0.1332 memory: 26632 grad_norm: 1.1919 loss: 1.2386 grounding_loss_reg: 2.9009 detection_loss_cls: 0.0457 detection_loss_reg: 0.4377 caption_loss_cls: 2.2146 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7318 semantic_segmentation_loss_cls: 0.0103 2023/10/30 13:31:28 - mmengine - INFO - Iter(train) [312500/480000] base_lr: 5.5767e-05 lr: 1.5940e-05 eta: 4 days, 8:01:33 time: 2.3021 data_time: 0.1332 memory: 25795 grad_norm: 1.1907 loss: 1.2392 grounding_loss_reg: 2.9013 detection_loss_cls: 0.0458 detection_loss_reg: 0.4376 caption_loss_cls: 2.2175 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7318 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:31:28 - mmengine - INFO - Saving checkpoint at 312500 iterations 2023/10/30 13:36:46 - mmengine - INFO - Iter(train) [312600/480000] base_lr: 5.5709e-05 lr: 1.5925e-05 eta: 4 days, 8:08:59 time: 2.3088 data_time: 0.1331 memory: 26632 grad_norm: 1.1996 loss: 1.2430 grounding_loss_reg: 2.9016 detection_loss_cls: 0.0458 detection_loss_reg: 0.4375 caption_loss_cls: 2.2203 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7298 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:41:24 - mmengine - INFO - Iter(train) [312700/480000] base_lr: 5.5652e-05 lr: 1.5910e-05 eta: 4 days, 8:11:35 time: 2.3203 data_time: 0.1331 memory: 26632 grad_norm: 1.1960 loss: 1.2439 grounding_loss_reg: 2.8998 detection_loss_cls: 0.0459 detection_loss_reg: 0.4377 caption_loss_cls: 2.2243 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7320 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:44:50 - mmengine - INFO - Iter(train) [312800/480000] base_lr: 5.5594e-05 lr: 1.5895e-05 eta: 4 days, 8:05:46 time: 2.3204 data_time: 0.1332 memory: 26632 grad_norm: 1.1919 loss: 1.2503 grounding_loss_reg: 2.8971 detection_loss_cls: 0.0461 detection_loss_reg: 0.4380 caption_loss_cls: 2.2276 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7341 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:48:31 - mmengine - INFO - Iter(train) [312900/480000] base_lr: 5.5537e-05 lr: 1.5880e-05 eta: 4 days, 8:01:35 time: 2.3197 data_time: 0.1332 memory: 25795 grad_norm: 1.1981 loss: 1.2501 grounding_loss_reg: 2.8954 detection_loss_cls: 0.0458 detection_loss_reg: 0.4369 caption_loss_cls: 2.2267 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7345 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:52:55 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 13:52:55 - mmengine - INFO - Iter(train) [313000/480000] base_lr: 5.5479e-05 lr: 1.5865e-05 eta: 4 days, 8:02:29 time: 2.3321 data_time: 0.1331 memory: 26632 grad_norm: 1.2022 loss: 1.2513 grounding_loss_reg: 2.8961 detection_loss_cls: 0.0459 detection_loss_reg: 0.4372 caption_loss_cls: 2.2273 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7358 semantic_segmentation_loss_cls: 0.0104 2023/10/30 13:52:55 - mmengine - INFO - Saving checkpoint at 313000 iterations 2023/10/30 13:57:33 - mmengine - INFO - Iter(train) [313100/480000] base_lr: 5.5422e-05 lr: 1.5850e-05 eta: 4 days, 8:04:59 time: 2.3377 data_time: 0.1339 memory: 26632 grad_norm: 1.1938 loss: 1.2488 grounding_loss_reg: 2.8949 detection_loss_cls: 0.0463 detection_loss_reg: 0.4391 caption_loss_cls: 2.2258 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7356 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:00:48 - mmengine - INFO - Iter(train) [313200/480000] base_lr: 5.5364e-05 lr: 1.5835e-05 eta: 4 days, 7:57:51 time: 2.3325 data_time: 0.1338 memory: 26632 grad_norm: 1.2027 loss: 1.2551 grounding_loss_reg: 2.8940 detection_loss_cls: 0.0464 detection_loss_reg: 0.4390 caption_loss_cls: 2.2226 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7349 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:04:14 - mmengine - INFO - Iter(train) [313300/480000] base_lr: 5.5307e-05 lr: 1.5820e-05 eta: 4 days, 7:51:57 time: 2.3335 data_time: 0.1338 memory: 25795 grad_norm: 1.2037 loss: 1.2593 grounding_loss_reg: 2.8934 detection_loss_cls: 0.0465 detection_loss_reg: 0.4394 caption_loss_cls: 2.2267 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7359 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:07:50 - mmengine - INFO - Iter(train) [313400/480000] base_lr: 5.5249e-05 lr: 1.5805e-05 eta: 4 days, 7:47:17 time: 2.3314 data_time: 0.1337 memory: 25795 grad_norm: 1.2070 loss: 1.2625 grounding_loss_reg: 2.8955 detection_loss_cls: 0.0461 detection_loss_reg: 0.4377 caption_loss_cls: 2.2263 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7362 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:11:34 - mmengine - INFO - Iter(train) [313500/480000] base_lr: 5.5192e-05 lr: 1.5790e-05 eta: 4 days, 7:43:32 time: 2.3321 data_time: 0.1338 memory: 26632 grad_norm: 1.2036 loss: 1.2611 grounding_loss_reg: 2.8952 detection_loss_cls: 0.0461 detection_loss_reg: 0.4381 caption_loss_cls: 2.2244 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7382 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:11:34 - mmengine - INFO - Saving checkpoint at 313500 iterations 2023/10/30 14:15:47 - mmengine - INFO - Iter(train) [313600/480000] base_lr: 5.5134e-05 lr: 1.5776e-05 eta: 4 days, 7:43:01 time: 2.3272 data_time: 0.1337 memory: 25795 grad_norm: 1.2027 loss: 1.2550 grounding_loss_reg: 2.8940 detection_loss_cls: 0.0461 detection_loss_reg: 0.4382 caption_loss_cls: 2.2267 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7376 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:19:19 - mmengine - INFO - Iter(train) [313700/480000] base_lr: 5.5077e-05 lr: 1.5761e-05 eta: 4 days, 7:37:52 time: 2.3282 data_time: 0.1336 memory: 26632 grad_norm: 1.2048 loss: 1.2568 grounding_loss_reg: 2.8942 detection_loss_cls: 0.0460 detection_loss_reg: 0.4379 caption_loss_cls: 2.2275 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7372 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:22:22 - mmengine - INFO - Iter(train) [313800/480000] base_lr: 5.5019e-05 lr: 1.5746e-05 eta: 4 days, 7:29:33 time: 2.3151 data_time: 0.1335 memory: 26632 grad_norm: 1.2069 loss: 1.2536 grounding_loss_reg: 2.8926 detection_loss_cls: 0.0460 detection_loss_reg: 0.4379 caption_loss_cls: 2.2255 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:25:27 - mmengine - INFO - Iter(train) [313900/480000] base_lr: 5.4962e-05 lr: 1.5731e-05 eta: 4 days, 7:21:26 time: 2.3080 data_time: 0.1335 memory: 26632 grad_norm: 1.2120 loss: 1.2647 grounding_loss_reg: 2.8912 detection_loss_cls: 0.0461 detection_loss_reg: 0.4386 caption_loss_cls: 2.2258 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7382 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:28:59 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 14:28:59 - mmengine - INFO - Iter(train) [314000/480000] base_lr: 5.4905e-05 lr: 1.5716e-05 eta: 4 days, 7:16:18 time: 2.3072 data_time: 0.1335 memory: 25795 grad_norm: 1.2123 loss: 1.2633 grounding_loss_reg: 2.8901 detection_loss_cls: 0.0459 detection_loss_reg: 0.4384 caption_loss_cls: 2.2251 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7399 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:28:59 - mmengine - INFO - Saving checkpoint at 314000 iterations 2023/10/30 14:33:20 - mmengine - INFO - Iter(train) [314100/480000] base_lr: 5.4847e-05 lr: 1.5701e-05 eta: 4 days, 7:16:38 time: 2.3226 data_time: 0.1481 memory: 25795 grad_norm: 1.2084 loss: 1.2550 grounding_loss_reg: 2.8891 detection_loss_cls: 0.0458 detection_loss_reg: 0.4376 caption_loss_cls: 2.2234 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7404 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:36:28 - mmengine - INFO - Iter(train) [314200/480000] base_lr: 5.4790e-05 lr: 1.5686e-05 eta: 4 days, 7:09:00 time: 2.3222 data_time: 0.1482 memory: 25795 grad_norm: 1.2075 loss: 1.2484 grounding_loss_reg: 2.8897 detection_loss_cls: 0.0458 detection_loss_reg: 0.4385 caption_loss_cls: 2.2184 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7405 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:39:41 - mmengine - INFO - Iter(train) [314300/480000] base_lr: 5.4733e-05 lr: 1.5671e-05 eta: 4 days, 7:01:49 time: 2.3163 data_time: 0.1482 memory: 25795 grad_norm: 1.2198 loss: 1.2534 grounding_loss_reg: 2.8886 detection_loss_cls: 0.0459 detection_loss_reg: 0.4384 caption_loss_cls: 2.2205 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7399 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:43:09 - mmengine - INFO - Iter(train) [314400/480000] base_lr: 5.4676e-05 lr: 1.5657e-05 eta: 4 days, 6:56:21 time: 2.2895 data_time: 0.1463 memory: 26632 grad_norm: 1.2260 loss: 1.2572 grounding_loss_reg: 2.8881 detection_loss_cls: 0.0459 detection_loss_reg: 0.4389 caption_loss_cls: 2.2166 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7388 semantic_segmentation_loss_cls: 0.0104 2023/10/30 14:46:22 - mmengine - INFO - Iter(train) [314500/480000] base_lr: 5.4618e-05 lr: 1.5642e-05 eta: 4 days, 6:49:17 time: 2.2809 data_time: 0.1463 memory: 26632 grad_norm: 1.2242 loss: 1.2525 grounding_loss_reg: 2.8893 detection_loss_cls: 0.0460 detection_loss_reg: 0.4397 caption_loss_cls: 2.2158 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7388 semantic_segmentation_loss_cls: 0.0105 2023/10/30 14:46:22 - mmengine - INFO - Saving checkpoint at 314500 iterations 2023/10/30 14:50:47 - mmengine - INFO - Iter(train) [314600/480000] base_lr: 5.4561e-05 lr: 1.5627e-05 eta: 4 days, 6:50:06 time: 2.2763 data_time: 0.1466 memory: 26632 grad_norm: 1.2241 loss: 1.2572 grounding_loss_reg: 2.8908 detection_loss_cls: 0.0462 detection_loss_reg: 0.4403 caption_loss_cls: 2.2173 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7399 semantic_segmentation_loss_cls: 0.0105 2023/10/30 14:54:13 - mmengine - INFO - Iter(train) [314700/480000] base_lr: 5.4504e-05 lr: 1.5612e-05 eta: 4 days, 6:44:24 time: 2.2733 data_time: 0.1465 memory: 25795 grad_norm: 1.2246 loss: 1.2628 grounding_loss_reg: 2.8914 detection_loss_cls: 0.0463 detection_loss_reg: 0.4414 caption_loss_cls: 2.2175 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7405 semantic_segmentation_loss_cls: 0.0105 2023/10/30 14:57:54 - mmengine - INFO - Iter(train) [314800/480000] base_lr: 5.4447e-05 lr: 1.5597e-05 eta: 4 days, 6:40:22 time: 2.2688 data_time: 0.1443 memory: 26632 grad_norm: 1.2280 loss: 1.2626 grounding_loss_reg: 2.8890 detection_loss_cls: 0.0463 detection_loss_reg: 0.4407 caption_loss_cls: 2.2157 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7406 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:01:14 - mmengine - INFO - Iter(train) [314900/480000] base_lr: 5.4389e-05 lr: 1.5582e-05 eta: 4 days, 6:34:05 time: 2.2636 data_time: 0.1443 memory: 25795 grad_norm: 1.2306 loss: 1.2628 grounding_loss_reg: 2.8885 detection_loss_cls: 0.0461 detection_loss_reg: 0.4400 caption_loss_cls: 2.2171 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7410 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:05:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 15:05:13 - mmengine - INFO - Iter(train) [315000/480000] base_lr: 5.4332e-05 lr: 1.5568e-05 eta: 4 days, 6:31:58 time: 2.2709 data_time: 0.1444 memory: 26632 grad_norm: 1.2269 loss: 1.2637 grounding_loss_reg: 2.8887 detection_loss_cls: 0.0461 detection_loss_reg: 0.4393 caption_loss_cls: 2.2186 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7420 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:05:13 - mmengine - INFO - Saving checkpoint at 315000 iterations 2023/10/30 15:09:48 - mmengine - INFO - Iter(train) [315100/480000] base_lr: 5.4275e-05 lr: 1.5553e-05 eta: 4 days, 6:33:43 time: 2.2726 data_time: 0.1444 memory: 25795 grad_norm: 1.2261 loss: 1.2633 grounding_loss_reg: 2.8884 detection_loss_cls: 0.0461 detection_loss_reg: 0.4392 caption_loss_cls: 2.2234 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7422 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:12:58 - mmengine - INFO - Iter(train) [315200/480000] base_lr: 5.4218e-05 lr: 1.5538e-05 eta: 4 days, 6:26:23 time: 2.2596 data_time: 0.1443 memory: 25795 grad_norm: 1.2443 loss: 1.2725 grounding_loss_reg: 2.8865 detection_loss_cls: 0.0461 detection_loss_reg: 0.4397 caption_loss_cls: 2.2236 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7406 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:16:21 - mmengine - INFO - Iter(train) [315300/480000] base_lr: 5.4161e-05 lr: 1.5523e-05 eta: 4 days, 6:20:30 time: 2.2515 data_time: 0.1442 memory: 26632 grad_norm: 1.2532 loss: 1.2765 grounding_loss_reg: 2.8852 detection_loss_cls: 0.0461 detection_loss_reg: 0.4396 caption_loss_cls: 2.2236 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7424 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:19:50 - mmengine - INFO - Iter(train) [315400/480000] base_lr: 5.4104e-05 lr: 1.5508e-05 eta: 4 days, 6:15:16 time: 2.2502 data_time: 0.1443 memory: 26632 grad_norm: 1.2535 loss: 1.2735 grounding_loss_reg: 2.8850 detection_loss_cls: 0.0461 detection_loss_reg: 0.4390 caption_loss_cls: 2.2217 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7423 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:23:03 - mmengine - INFO - Iter(train) [315500/480000] base_lr: 5.4047e-05 lr: 1.5494e-05 eta: 4 days, 6:08:22 time: 2.2432 data_time: 0.1443 memory: 26632 grad_norm: 1.2530 loss: 1.2786 grounding_loss_reg: 2.8846 detection_loss_cls: 0.0464 detection_loss_reg: 0.4394 caption_loss_cls: 2.2221 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7444 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:23:03 - mmengine - INFO - Saving checkpoint at 315500 iterations 2023/10/30 15:27:34 - mmengine - INFO - Iter(train) [315600/480000] base_lr: 5.3990e-05 lr: 1.5479e-05 eta: 4 days, 6:09:29 time: 2.2427 data_time: 0.1443 memory: 26632 grad_norm: 1.2524 loss: 1.2797 grounding_loss_reg: 2.8845 detection_loss_cls: 0.0467 detection_loss_reg: 0.4415 caption_loss_cls: 2.2243 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7446 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:31:08 - mmengine - INFO - Iter(train) [315700/480000] base_lr: 5.3933e-05 lr: 1.5464e-05 eta: 4 days, 6:04:43 time: 2.2290 data_time: 0.1420 memory: 26632 grad_norm: 1.2565 loss: 1.2869 grounding_loss_reg: 2.8839 detection_loss_cls: 0.0468 detection_loss_reg: 0.4417 caption_loss_cls: 2.2235 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7446 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:35:32 - mmengine - INFO - Iter(train) [315800/480000] base_lr: 5.3876e-05 lr: 1.5449e-05 eta: 4 days, 6:05:05 time: 2.2396 data_time: 0.1422 memory: 26632 grad_norm: 1.2601 loss: 1.2881 grounding_loss_reg: 2.8840 detection_loss_cls: 0.0467 detection_loss_reg: 0.4411 caption_loss_cls: 2.2238 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7442 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:39:11 - mmengine - INFO - Iter(train) [315900/480000] base_lr: 5.3819e-05 lr: 1.5435e-05 eta: 4 days, 6:00:52 time: 2.2394 data_time: 0.1421 memory: 25795 grad_norm: 1.2605 loss: 1.2938 grounding_loss_reg: 2.8839 detection_loss_cls: 0.0467 detection_loss_reg: 0.4424 caption_loss_cls: 2.2249 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7443 semantic_segmentation_loss_cls: 0.0103 2023/10/30 15:42:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 15:42:44 - mmengine - INFO - Iter(train) [316000/480000] base_lr: 5.3762e-05 lr: 1.5420e-05 eta: 4 days, 5:56:04 time: 2.2407 data_time: 0.1421 memory: 26632 grad_norm: 1.2610 loss: 1.2934 grounding_loss_reg: 2.8836 detection_loss_cls: 0.0468 detection_loss_reg: 0.4437 caption_loss_cls: 2.2268 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7425 semantic_segmentation_loss_cls: 0.0103 2023/10/30 15:42:44 - mmengine - INFO - Saving checkpoint at 316000 iterations 2023/10/30 15:47:29 - mmengine - INFO - Iter(train) [316100/480000] base_lr: 5.3705e-05 lr: 1.5405e-05 eta: 4 days, 5:58:28 time: 2.2458 data_time: 0.1418 memory: 26632 grad_norm: 1.2554 loss: 1.2977 grounding_loss_reg: 2.8839 detection_loss_cls: 0.0468 detection_loss_reg: 0.4432 caption_loss_cls: 2.2322 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7426 semantic_segmentation_loss_cls: 0.0103 2023/10/30 15:50:40 - mmengine - INFO - Iter(train) [316200/480000] base_lr: 5.3648e-05 lr: 1.5390e-05 eta: 4 days, 5:51:29 time: 2.2436 data_time: 0.1418 memory: 26632 grad_norm: 1.2561 loss: 1.3011 grounding_loss_reg: 2.8850 detection_loss_cls: 0.0469 detection_loss_reg: 0.4437 caption_loss_cls: 2.2287 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7427 semantic_segmentation_loss_cls: 0.0103 2023/10/30 15:54:09 - mmengine - INFO - Iter(train) [316300/480000] base_lr: 5.3591e-05 lr: 1.5375e-05 eta: 4 days, 5:46:13 time: 2.2422 data_time: 0.1418 memory: 25795 grad_norm: 1.2510 loss: 1.3016 grounding_loss_reg: 2.8830 detection_loss_cls: 0.0468 detection_loss_reg: 0.4432 caption_loss_cls: 2.2349 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7440 semantic_segmentation_loss_cls: 0.0104 2023/10/30 15:57:47 - mmengine - INFO - Iter(train) [316400/480000] base_lr: 5.3534e-05 lr: 1.5361e-05 eta: 4 days, 5:41:54 time: 2.2499 data_time: 0.1418 memory: 26632 grad_norm: 1.2521 loss: 1.3023 grounding_loss_reg: 2.8840 detection_loss_cls: 0.0467 detection_loss_reg: 0.4423 caption_loss_cls: 2.2369 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7416 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:01:36 - mmengine - INFO - Iter(train) [316500/480000] base_lr: 5.3477e-05 lr: 1.5346e-05 eta: 4 days, 5:38:46 time: 2.2516 data_time: 0.1417 memory: 26632 grad_norm: 1.2554 loss: 1.3012 grounding_loss_reg: 2.8833 detection_loss_cls: 0.0465 detection_loss_reg: 0.4414 caption_loss_cls: 2.2405 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7414 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:01:36 - mmengine - INFO - Saving checkpoint at 316500 iterations 2023/10/30 16:06:32 - mmengine - INFO - Iter(train) [316600/480000] base_lr: 5.3421e-05 lr: 1.5331e-05 eta: 4 days, 5:42:04 time: 2.2459 data_time: 0.1418 memory: 26632 grad_norm: 1.2540 loss: 1.3007 grounding_loss_reg: 2.8831 detection_loss_cls: 0.0464 detection_loss_reg: 0.4408 caption_loss_cls: 2.2390 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7426 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:09:49 - mmengine - INFO - Iter(train) [316700/480000] base_lr: 5.3364e-05 lr: 1.5317e-05 eta: 4 days, 5:35:41 time: 2.2257 data_time: 0.1417 memory: 26632 grad_norm: 1.2614 loss: 1.2976 grounding_loss_reg: 2.8818 detection_loss_cls: 0.0463 detection_loss_reg: 0.4407 caption_loss_cls: 2.2381 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7424 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:13:03 - mmengine - INFO - Iter(train) [316800/480000] base_lr: 5.3307e-05 lr: 1.5302e-05 eta: 4 days, 5:29:01 time: 2.2226 data_time: 0.1417 memory: 25795 grad_norm: 1.2685 loss: 1.2956 grounding_loss_reg: 2.8804 detection_loss_cls: 0.0463 detection_loss_reg: 0.4397 caption_loss_cls: 2.2374 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7414 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:16:23 - mmengine - INFO - Iter(train) [316900/480000] base_lr: 5.3250e-05 lr: 1.5287e-05 eta: 4 days, 5:23:01 time: 2.2176 data_time: 0.1416 memory: 26632 grad_norm: 1.2689 loss: 1.2932 grounding_loss_reg: 2.8801 detection_loss_cls: 0.0461 detection_loss_reg: 0.4391 caption_loss_cls: 2.2381 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7402 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:20:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 16:20:09 - mmengine - INFO - Iter(train) [317000/480000] base_lr: 5.3193e-05 lr: 1.5272e-05 eta: 4 days, 5:19:29 time: 2.2081 data_time: 0.1417 memory: 26632 grad_norm: 1.2698 loss: 1.2940 grounding_loss_reg: 2.8783 detection_loss_cls: 0.0462 detection_loss_reg: 0.4394 caption_loss_cls: 2.2380 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7396 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:20:10 - mmengine - INFO - Saving checkpoint at 317000 iterations 2023/10/30 16:24:58 - mmengine - INFO - Iter(train) [317100/480000] base_lr: 5.3137e-05 lr: 1.5258e-05 eta: 4 days, 5:22:02 time: 2.2107 data_time: 0.1411 memory: 26632 grad_norm: 1.2665 loss: 1.2933 grounding_loss_reg: 2.8802 detection_loss_cls: 0.0462 detection_loss_reg: 0.4389 caption_loss_cls: 2.2382 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7395 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:28:14 - mmengine - INFO - Iter(train) [317200/480000] base_lr: 5.3080e-05 lr: 1.5243e-05 eta: 4 days, 5:15:36 time: 2.2109 data_time: 0.1411 memory: 25795 grad_norm: 1.2634 loss: 1.2914 grounding_loss_reg: 2.8794 detection_loss_cls: 0.0462 detection_loss_reg: 0.4389 caption_loss_cls: 2.2370 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7381 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:32:08 - mmengine - INFO - Iter(train) [317300/480000] base_lr: 5.3023e-05 lr: 1.5228e-05 eta: 4 days, 5:12:46 time: 2.2179 data_time: 0.1412 memory: 25795 grad_norm: 1.2661 loss: 1.2890 grounding_loss_reg: 2.8810 detection_loss_cls: 0.0463 detection_loss_reg: 0.4397 caption_loss_cls: 2.2388 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7373 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:36:59 - mmengine - INFO - Iter(train) [317400/480000] base_lr: 5.2967e-05 lr: 1.5214e-05 eta: 4 days, 5:15:31 time: 2.2368 data_time: 0.1413 memory: 26632 grad_norm: 1.2613 loss: 1.2855 grounding_loss_reg: 2.8805 detection_loss_cls: 0.0460 detection_loss_reg: 0.4389 caption_loss_cls: 2.2394 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7395 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:40:45 - mmengine - INFO - Iter(train) [317500/480000] base_lr: 5.2910e-05 lr: 1.5199e-05 eta: 4 days, 5:11:53 time: 2.2371 data_time: 0.1411 memory: 25795 grad_norm: 1.2634 loss: 1.2849 grounding_loss_reg: 2.8803 detection_loss_cls: 0.0460 detection_loss_reg: 0.4382 caption_loss_cls: 2.2407 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7381 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:40:45 - mmengine - INFO - Saving checkpoint at 317500 iterations 2023/10/30 16:45:51 - mmengine - INFO - Iter(train) [317600/480000] base_lr: 5.2853e-05 lr: 1.5184e-05 eta: 4 days, 5:15:55 time: 2.2505 data_time: 0.1411 memory: 26632 grad_norm: 1.2613 loss: 1.2800 grounding_loss_reg: 2.8796 detection_loss_cls: 0.0459 detection_loss_reg: 0.4372 caption_loss_cls: 2.2359 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7382 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:49:20 - mmengine - INFO - Iter(train) [317700/480000] base_lr: 5.2797e-05 lr: 1.5170e-05 eta: 4 days, 5:10:44 time: 2.2498 data_time: 0.1412 memory: 26632 grad_norm: 1.2637 loss: 1.2788 grounding_loss_reg: 2.8770 detection_loss_cls: 0.0462 detection_loss_reg: 0.4380 caption_loss_cls: 2.2350 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7377 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:53:13 - mmengine - INFO - Iter(train) [317800/480000] base_lr: 5.2740e-05 lr: 1.5155e-05 eta: 4 days, 5:07:45 time: 2.2621 data_time: 0.1413 memory: 25795 grad_norm: 1.2614 loss: 1.2820 grounding_loss_reg: 2.8773 detection_loss_cls: 0.0462 detection_loss_reg: 0.4378 caption_loss_cls: 2.2367 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7388 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:56:38 - mmengine - INFO - Iter(train) [317900/480000] base_lr: 5.2684e-05 lr: 1.5140e-05 eta: 4 days, 5:02:10 time: 2.2671 data_time: 0.1413 memory: 25795 grad_norm: 1.2555 loss: 1.2723 grounding_loss_reg: 2.8755 detection_loss_cls: 0.0462 detection_loss_reg: 0.4374 caption_loss_cls: 2.2317 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7371 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:59:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 16:59:58 - mmengine - INFO - Iter(train) [318000/480000] base_lr: 5.2627e-05 lr: 1.5126e-05 eta: 4 days, 4:56:12 time: 2.2644 data_time: 0.1413 memory: 25795 grad_norm: 1.2558 loss: 1.2650 grounding_loss_reg: 2.8723 detection_loss_cls: 0.0462 detection_loss_reg: 0.4370 caption_loss_cls: 2.2305 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7353 semantic_segmentation_loss_cls: 0.0103 2023/10/30 16:59:58 - mmengine - INFO - Saving checkpoint at 318000 iterations 2023/10/30 17:04:51 - mmengine - INFO - Iter(train) [318100/480000] base_lr: 5.2571e-05 lr: 1.5111e-05 eta: 4 days, 4:58:49 time: 2.2724 data_time: 0.1420 memory: 26632 grad_norm: 1.2533 loss: 1.2662 grounding_loss_reg: 2.8705 detection_loss_cls: 0.0462 detection_loss_reg: 0.4371 caption_loss_cls: 2.2292 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7358 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:08:38 - mmengine - INFO - Iter(train) [318200/480000] base_lr: 5.2514e-05 lr: 1.5096e-05 eta: 4 days, 4:55:19 time: 2.2820 data_time: 0.1420 memory: 25795 grad_norm: 1.2481 loss: 1.2622 grounding_loss_reg: 2.8711 detection_loss_cls: 0.0461 detection_loss_reg: 0.4372 caption_loss_cls: 2.2270 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7339 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:12:09 - mmengine - INFO - Iter(train) [318300/480000] base_lr: 5.2458e-05 lr: 1.5082e-05 eta: 4 days, 4:50:19 time: 2.2866 data_time: 0.1420 memory: 25795 grad_norm: 1.2402 loss: 1.2636 grounding_loss_reg: 2.8706 detection_loss_cls: 0.0463 detection_loss_reg: 0.4377 caption_loss_cls: 2.2290 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7347 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:15:50 - mmengine - INFO - Iter(train) [318400/480000] base_lr: 5.2401e-05 lr: 1.5067e-05 eta: 4 days, 4:46:13 time: 2.2898 data_time: 0.1420 memory: 26632 grad_norm: 1.2323 loss: 1.2580 grounding_loss_reg: 2.8702 detection_loss_cls: 0.0463 detection_loss_reg: 0.4384 caption_loss_cls: 2.2280 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7343 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:19:03 - mmengine - INFO - Iter(train) [318500/480000] base_lr: 5.2345e-05 lr: 1.5052e-05 eta: 4 days, 4:39:36 time: 2.2898 data_time: 0.1420 memory: 25795 grad_norm: 1.2382 loss: 1.2621 grounding_loss_reg: 2.8707 detection_loss_cls: 0.0463 detection_loss_reg: 0.4384 caption_loss_cls: 2.2246 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7324 semantic_segmentation_loss_cls: 0.0104 2023/10/30 17:19:03 - mmengine - INFO - Saving checkpoint at 318500 iterations 2023/10/30 17:23:44 - mmengine - INFO - Iter(train) [318600/480000] base_lr: 5.2288e-05 lr: 1.5038e-05 eta: 4 days, 4:40:59 time: 2.2935 data_time: 0.1417 memory: 25795 grad_norm: 1.2337 loss: 1.2584 grounding_loss_reg: 2.8701 detection_loss_cls: 0.0465 detection_loss_reg: 0.4393 caption_loss_cls: 2.2250 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7341 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:26:46 - mmengine - INFO - Iter(train) [318700/480000] base_lr: 5.2232e-05 lr: 1.5023e-05 eta: 4 days, 4:33:26 time: 2.2878 data_time: 0.1417 memory: 25795 grad_norm: 1.2413 loss: 1.2604 grounding_loss_reg: 2.8698 detection_loss_cls: 0.0465 detection_loss_reg: 0.4392 caption_loss_cls: 2.2268 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7342 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:30:26 - mmengine - INFO - Iter(train) [318800/480000] base_lr: 5.2175e-05 lr: 1.5008e-05 eta: 4 days, 4:29:17 time: 2.2876 data_time: 0.1417 memory: 25795 grad_norm: 1.2331 loss: 1.2575 grounding_loss_reg: 2.8704 detection_loss_cls: 0.0466 detection_loss_reg: 0.4394 caption_loss_cls: 2.2280 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7347 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:33:54 - mmengine - INFO - Iter(train) [318900/480000] base_lr: 5.2119e-05 lr: 1.4994e-05 eta: 4 days, 4:24:02 time: 2.2895 data_time: 0.1417 memory: 25795 grad_norm: 1.2292 loss: 1.2661 grounding_loss_reg: 2.8719 detection_loss_cls: 0.0464 detection_loss_reg: 0.4388 caption_loss_cls: 2.2304 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7358 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:37:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 17:37:16 - mmengine - INFO - Iter(train) [319000/480000] base_lr: 5.2063e-05 lr: 1.4979e-05 eta: 4 days, 4:18:19 time: 2.2804 data_time: 0.1416 memory: 26632 grad_norm: 1.2308 loss: 1.2623 grounding_loss_reg: 2.8700 detection_loss_cls: 0.0464 detection_loss_reg: 0.4385 caption_loss_cls: 2.2319 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7350 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:37:16 - mmengine - INFO - Saving checkpoint at 319000 iterations 2023/10/30 17:41:35 - mmengine - INFO - Iter(train) [319100/480000] base_lr: 5.2006e-05 lr: 1.4965e-05 eta: 4 days, 4:17:38 time: 2.2761 data_time: 0.1421 memory: 26632 grad_norm: 1.2371 loss: 1.2654 grounding_loss_reg: 2.8689 detection_loss_cls: 0.0464 detection_loss_reg: 0.4384 caption_loss_cls: 2.2305 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7366 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:45:03 - mmengine - INFO - Iter(train) [319200/480000] base_lr: 5.1950e-05 lr: 1.4950e-05 eta: 4 days, 4:12:27 time: 2.2807 data_time: 0.1421 memory: 25795 grad_norm: 1.2251 loss: 1.2621 grounding_loss_reg: 2.8677 detection_loss_cls: 0.0465 detection_loss_reg: 0.4386 caption_loss_cls: 2.2292 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7356 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:48:19 - mmengine - INFO - Iter(train) [319300/480000] base_lr: 5.1894e-05 lr: 1.4935e-05 eta: 4 days, 4:06:13 time: 2.2790 data_time: 0.1421 memory: 25795 grad_norm: 1.2200 loss: 1.2603 grounding_loss_reg: 2.8680 detection_loss_cls: 0.0467 detection_loss_reg: 0.4386 caption_loss_cls: 2.2274 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7347 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:51:49 - mmengine - INFO - Iter(train) [319400/480000] base_lr: 5.1838e-05 lr: 1.4921e-05 eta: 4 days, 4:01:13 time: 2.2791 data_time: 0.1422 memory: 25795 grad_norm: 1.2169 loss: 1.2610 grounding_loss_reg: 2.8696 detection_loss_cls: 0.0466 detection_loss_reg: 0.4383 caption_loss_cls: 2.2275 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7362 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:55:03 - mmengine - INFO - Iter(train) [319500/480000] base_lr: 5.1781e-05 lr: 1.4906e-05 eta: 4 days, 3:54:47 time: 2.2793 data_time: 0.1422 memory: 25795 grad_norm: 1.2254 loss: 1.2578 grounding_loss_reg: 2.8694 detection_loss_cls: 0.0464 detection_loss_reg: 0.4373 caption_loss_cls: 2.2268 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7357 semantic_segmentation_loss_cls: 0.0103 2023/10/30 17:55:03 - mmengine - INFO - Saving checkpoint at 319500 iterations 2023/10/30 17:59:19 - mmengine - INFO - Iter(train) [319600/480000] base_lr: 5.1725e-05 lr: 1.4892e-05 eta: 4 days, 3:53:53 time: 2.2758 data_time: 0.1416 memory: 25795 grad_norm: 1.2303 loss: 1.2579 grounding_loss_reg: 2.8689 detection_loss_cls: 0.0463 detection_loss_reg: 0.4367 caption_loss_cls: 2.2300 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7357 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:03:30 - mmengine - INFO - Iter(train) [319700/480000] base_lr: 5.1669e-05 lr: 1.4877e-05 eta: 4 days, 3:52:26 time: 2.2850 data_time: 0.1424 memory: 26632 grad_norm: 1.2284 loss: 1.2564 grounding_loss_reg: 2.8693 detection_loss_cls: 0.0460 detection_loss_reg: 0.4360 caption_loss_cls: 2.2286 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7371 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:07:49 - mmengine - INFO - Iter(train) [319800/480000] base_lr: 5.1613e-05 lr: 1.4863e-05 eta: 4 days, 3:51:41 time: 2.2837 data_time: 0.1421 memory: 25795 grad_norm: 1.2359 loss: 1.2530 grounding_loss_reg: 2.8657 detection_loss_cls: 0.0460 detection_loss_reg: 0.4358 caption_loss_cls: 2.2260 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7360 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:11:18 - mmengine - INFO - Iter(train) [319900/480000] base_lr: 5.1557e-05 lr: 1.4848e-05 eta: 4 days, 3:46:39 time: 2.2814 data_time: 0.1422 memory: 26632 grad_norm: 1.2365 loss: 1.2546 grounding_loss_reg: 2.8659 detection_loss_cls: 0.0459 detection_loss_reg: 0.4357 caption_loss_cls: 2.2328 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7360 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:14:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 18:14:37 - mmengine - INFO - Iter(train) [320000/480000] base_lr: 5.1501e-05 lr: 1.4833e-05 eta: 4 days, 3:40:41 time: 2.2776 data_time: 0.1421 memory: 25795 grad_norm: 1.2344 loss: 1.2499 grounding_loss_reg: 2.8660 detection_loss_cls: 0.0458 detection_loss_reg: 0.4345 caption_loss_cls: 2.2331 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7351 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:14:37 - mmengine - INFO - Saving checkpoint at 320000 iterations 2023/10/30 18:20:32 - mmengine - INFO - Evaluating bbox... 2023/10/30 18:21:35 - mmengine - INFO - bbox_mAP_copypaste: 0.515 0.694 0.563 0.366 0.562 0.661 2023/10/30 18:21:35 - mmengine - INFO - Evaluating segm... 2023/10/30 18:22:50 - mmengine - INFO - segm_mAP_copypaste: 0.335 0.597 0.332 0.197 0.381 0.523 2023/10/30 18:24:12 - mmengine - INFO - Evaluating bbox... 2023/10/30 18:25:19 - mmengine - INFO - bbox_mAP_copypaste: 0.515 0.695 0.563 0.367 0.561 0.660 2023/10/30 18:28:06 - mmengine - INFO - per class results: 2023/10/30 18:28:06 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.91 | 87.67 | | building | 82.85 | 91.25 | | sky | 93.1 | 96.73 | | floor | 82.74 | 90.48 | | tree | 72.96 | 90.71 | | ceiling | 83.89 | 92.98 | | road | 83.94 | 88.77 | | bed | 89.58 | 95.97 | | windowpane | 62.17 | 81.62 | | grass | 71.86 | 88.89 | | cabinet | 61.92 | 74.24 | | sidewalk | 66.21 | 81.78 | | person | 81.2 | 92.1 | | earth | 42.43 | 52.59 | | door | 53.63 | 72.37 | | table | 62.99 | 74.84 | | mountain | 61.39 | 76.77 | | plant | 54.22 | 66.88 | | curtain | 72.3 | 86.55 | | chair | 59.74 | 74.62 | | car | 82.83 | 90.57 | | water | 59.81 | 77.63 | | painting | 72.19 | 85.49 | | sofa | 71.52 | 87.04 | | shelf | 42.83 | 61.46 | | house | 40.83 | 55.74 | | sea | 59.86 | 78.61 | | mirror | 68.14 | 80.68 | | rug | 68.7 | 78.26 | | field | 29.94 | 37.18 | | armchair | 48.16 | 62.59 | | seat | 65.48 | 83.27 | | fence | 46.32 | 67.17 | | desk | 52.06 | 72.23 | | rock | 46.11 | 53.42 | | wardrobe | 53.86 | 68.31 | | lamp | 60.85 | 80.12 | | bathtub | 83.63 | 92.02 | | railing | 36.42 | 50.78 | | cushion | 59.46 | 69.5 | | base | 26.59 | 33.43 | | box | 31.42 | 43.99 | | column | 49.98 | 62.21 | | signboard | 37.15 | 49.65 | | chest of drawers | 41.52 | 69.07 | | counter | 33.3 | 56.92 | | sand | 57.27 | 82.04 | | sink | 73.74 | 83.66 | | skyscraper | 53.29 | 65.81 | | fireplace | 68.07 | 86.76 | | refrigerator | 72.13 | 86.08 | | grandstand | 48.88 | 76.94 | | path | 23.64 | 34.05 | | stairs | 28.64 | 36.24 | | runway | 74.38 | 94.01 | | case | 31.08 | 33.46 | | pool table | 86.23 | 95.49 | | pillow | 55.73 | 65.35 | | screen door | 72.78 | 77.52 | | stairway | 36.29 | 52.31 | | river | 24.66 | 37.21 | | bridge | 58.63 | 88.77 | | bookcase | 27.99 | 72.7 | | blind | 38.01 | 42.33 | | coffee table | 60.64 | 80.57 | | toilet | 85.81 | 91.29 | | flower | 33.33 | 45.66 | | book | 22.81 | 28.76 | | hill | 8.04 | 11.12 | | bench | 52.2 | 62.84 | | countertop | 57.97 | 66.37 | | stove | 75.83 | 88.21 | | palm | 45.54 | 59.93 | | kitchen island | 48.11 | 86.21 | | computer | 72.19 | 84.98 | | swivel chair | 39.16 | 47.09 | | boat | 72.61 | 85.73 | | bar | 38.59 | 46.97 | | arcade machine | 70.37 | 77.42 | | hovel | 44.18 | 57.95 | | bus | 92.15 | 95.89 | | towel | 57.88 | 68.75 | | light | 49.0 | 55.78 | | truck | 35.87 | 55.44 | | tower | 43.18 | 72.16 | | chandelier | 62.58 | 80.39 | | awning | 26.77 | 30.99 | | streetlight | 33.54 | 42.95 | | booth | 33.64 | 46.46 | | television receiver | 68.91 | 86.69 | | airplane | 64.53 | 72.1 | | dirt track | 3.72 | 19.45 | | apparel | 36.17 | 57.89 | | pole | 30.97 | 48.38 | | land | 0.68 | 0.81 | | bannister | 13.36 | 19.38 | | escalator | 28.07 | 32.11 | | ottoman | 50.62 | 68.27 | | bottle | 23.97 | 29.47 | | buffet | 45.37 | 52.83 | | poster | 33.5 | 48.57 | | stage | 10.84 | 22.59 | | van | 49.28 | 69.12 | | ship | 57.24 | 58.22 | | fountain | 32.57 | 34.18 | | conveyer belt | 65.77 | 86.26 | | canopy | 18.29 | 21.35 | | washer | 70.79 | 72.65 | | plaything | 21.96 | 29.4 | | swimming pool | 70.82 | 87.04 | | stool | 46.76 | 58.02 | | barrel | 42.72 | 65.01 | | basket | 28.06 | 52.06 | | waterfall | 77.32 | 91.9 | | tent | 77.21 | 97.45 | | bag | 13.22 | 14.56 | | minibike | 73.43 | 86.25 | | cradle | 74.33 | 94.56 | | oven | 37.36 | 42.58 | | ball | 45.55 | 55.38 | | food | 52.88 | 61.82 | | step | 11.97 | 16.58 | | tank | 49.89 | 62.71 | | trade name | 15.83 | 16.78 | | microwave | 88.33 | 94.52 | | pot | 45.89 | 51.72 | | animal | 60.84 | 63.72 | | bicycle | 60.68 | 76.99 | | lake | 35.4 | 36.75 | | dishwasher | 67.4 | 77.76 | | screen | 54.8 | 88.14 | | blanket | 18.53 | 21.53 | | sculpture | 60.85 | 89.38 | | hood | 58.68 | 73.48 | | sconce | 37.41 | 45.93 | | vase | 41.75 | 52.34 | | traffic light | 36.2 | 49.91 | | tray | 10.43 | 26.3 | | ashcan | 44.23 | 60.37 | | fan | 59.44 | 70.91 | | pier | 33.21 | 35.61 | | crt screen | 6.53 | 11.18 | | plate | 56.34 | 68.5 | | monitor | 19.89 | 26.54 | | bulletin board | 47.35 | 55.29 | | shower | 0.54 | 1.38 | | radiator | 59.58 | 71.65 | | glass | 18.25 | 20.06 | | clock | 25.74 | 28.1 | | flag | 69.57 | 78.02 | +---------------------+-------+-------+ 2023/10/30 18:28:29 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.1875 data_time: 0.0322 memory: 27910 2023/10/30 18:28:50 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5150 coco/bbox_mAP_50: 0.6950 coco/bbox_mAP_75: 0.5630 coco/bbox_mAP_s: 0.3670 coco/bbox_mAP_m: 0.5610 coco/bbox_mAP_l: 0.6600 coco/segm_mAP: 0.3350 coco/segm_mAP_50: 0.5970 coco/segm_mAP_75: 0.3320 coco/segm_mAP_s: 0.1970 coco/segm_mAP_m: 0.3810 coco/segm_mAP_l: 0.5230 Bleu_1: 0.7679 Bleu_2: 0.5983 Bleu_3: 0.4540 Bleu_4: 0.3417 METEOR: 0.2799 ROUGE_L: 0.5666 CIDEr: 1.1431 SPICE: 0.2086 aAcc: 83.6700 mIoU: 50.2800 mAcc: 62.6300 visual-grounding/miou: 0.7730 visual-grounding/acc: 0.8459 data_time: 0.0018 time: 0.2298 2023/10/30 18:32:47 - mmengine - INFO - Iter(train) [320100/480000] base_lr: 5.1444e-05 lr: 1.4819e-05 eta: 4 days, 3:38:28 time: 2.2670 data_time: 0.1275 memory: 26632 grad_norm: 1.2310 loss: 1.2436 grounding_loss_reg: 2.8646 detection_loss_cls: 0.0458 detection_loss_reg: 0.4344 caption_loss_cls: 2.2322 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7364 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:35:55 - mmengine - INFO - Iter(train) [320200/480000] base_lr: 5.1388e-05 lr: 1.4804e-05 eta: 4 days, 3:31:37 time: 2.2661 data_time: 0.1275 memory: 25795 grad_norm: 1.2316 loss: 1.2435 grounding_loss_reg: 2.8650 detection_loss_cls: 0.0460 detection_loss_reg: 0.4350 caption_loss_cls: 2.2317 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7373 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:39:23 - mmengine - INFO - Iter(train) [320300/480000] base_lr: 5.1332e-05 lr: 1.4790e-05 eta: 4 days, 3:26:28 time: 2.2659 data_time: 0.1275 memory: 26632 grad_norm: 1.2270 loss: 1.2324 grounding_loss_reg: 2.8643 detection_loss_cls: 0.0459 detection_loss_reg: 0.4344 caption_loss_cls: 2.2305 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7372 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:43:03 - mmengine - INFO - Iter(train) [320400/480000] base_lr: 5.1276e-05 lr: 1.4775e-05 eta: 4 days, 3:22:24 time: 2.2665 data_time: 0.1275 memory: 25795 grad_norm: 1.2229 loss: 1.2316 grounding_loss_reg: 2.8642 detection_loss_cls: 0.0459 detection_loss_reg: 0.4349 caption_loss_cls: 2.2348 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7374 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:46:28 - mmengine - INFO - Iter(train) [320500/480000] base_lr: 5.1220e-05 lr: 1.4761e-05 eta: 4 days, 3:17:04 time: 2.2603 data_time: 0.1274 memory: 26632 grad_norm: 1.2241 loss: 1.2354 grounding_loss_reg: 2.8655 detection_loss_cls: 0.0463 detection_loss_reg: 0.4370 caption_loss_cls: 2.2334 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7362 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:46:28 - mmengine - INFO - Saving checkpoint at 320500 iterations 2023/10/30 18:51:16 - mmengine - INFO - Iter(train) [320600/480000] base_lr: 5.1164e-05 lr: 1.4746e-05 eta: 4 days, 3:18:39 time: 2.2584 data_time: 0.1275 memory: 25795 grad_norm: 1.2194 loss: 1.2311 grounding_loss_reg: 2.8662 detection_loss_cls: 0.0463 detection_loss_reg: 0.4371 caption_loss_cls: 2.2321 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7371 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:54:35 - mmengine - INFO - Iter(train) [320700/480000] base_lr: 5.1108e-05 lr: 1.4732e-05 eta: 4 days, 3:12:48 time: 2.2589 data_time: 0.1275 memory: 26632 grad_norm: 1.2195 loss: 1.2341 grounding_loss_reg: 2.8655 detection_loss_cls: 0.0464 detection_loss_reg: 0.4372 caption_loss_cls: 2.2324 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7367 semantic_segmentation_loss_cls: 0.0103 2023/10/30 18:58:12 - mmengine - INFO - Iter(train) [320800/480000] base_lr: 5.1052e-05 lr: 1.4717e-05 eta: 4 days, 3:08:27 time: 2.2646 data_time: 0.1276 memory: 26632 grad_norm: 1.2116 loss: 1.2318 grounding_loss_reg: 2.8669 detection_loss_cls: 0.0465 detection_loss_reg: 0.4376 caption_loss_cls: 2.2296 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7372 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:01:59 - mmengine - INFO - Iter(train) [320900/480000] base_lr: 5.0996e-05 lr: 1.4703e-05 eta: 4 days, 3:04:57 time: 2.2712 data_time: 0.1276 memory: 26632 grad_norm: 1.2044 loss: 1.2299 grounding_loss_reg: 2.8665 detection_loss_cls: 0.0465 detection_loss_reg: 0.4383 caption_loss_cls: 2.2299 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7347 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:05:46 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 19:05:46 - mmengine - INFO - Iter(train) [321000/480000] base_lr: 5.0940e-05 lr: 1.4688e-05 eta: 4 days, 3:01:28 time: 2.2716 data_time: 0.1277 memory: 26632 grad_norm: 1.2042 loss: 1.2300 grounding_loss_reg: 2.8657 detection_loss_cls: 0.0464 detection_loss_reg: 0.4378 caption_loss_cls: 2.2306 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7367 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:05:46 - mmengine - INFO - Saving checkpoint at 321000 iterations 2023/10/30 19:10:43 - mmengine - INFO - Iter(train) [321100/480000] base_lr: 5.0885e-05 lr: 1.4674e-05 eta: 4 days, 3:03:41 time: 2.2735 data_time: 0.1281 memory: 25795 grad_norm: 1.2016 loss: 1.2189 grounding_loss_reg: 2.8653 detection_loss_cls: 0.0465 detection_loss_reg: 0.4379 caption_loss_cls: 2.2278 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7357 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:14:16 - mmengine - INFO - Iter(train) [321200/480000] base_lr: 5.0829e-05 lr: 1.4659e-05 eta: 4 days, 2:59:01 time: 2.2778 data_time: 0.1282 memory: 25795 grad_norm: 1.2025 loss: 1.2178 grounding_loss_reg: 2.8648 detection_loss_cls: 0.0464 detection_loss_reg: 0.4376 caption_loss_cls: 2.2256 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7367 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:17:38 - mmengine - INFO - Iter(train) [321300/480000] base_lr: 5.0773e-05 lr: 1.4645e-05 eta: 4 days, 2:53:26 time: 2.2699 data_time: 0.1281 memory: 26632 grad_norm: 1.2023 loss: 1.2205 grounding_loss_reg: 2.8649 detection_loss_cls: 0.0464 detection_loss_reg: 0.4385 caption_loss_cls: 2.2254 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7361 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:21:19 - mmengine - INFO - Iter(train) [321400/480000] base_lr: 5.0717e-05 lr: 1.4630e-05 eta: 4 days, 2:49:27 time: 2.2523 data_time: 0.1280 memory: 25795 grad_norm: 1.2034 loss: 1.2193 grounding_loss_reg: 2.8647 detection_loss_cls: 0.0465 detection_loss_reg: 0.4390 caption_loss_cls: 2.2251 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7349 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:25:05 - mmengine - INFO - Iter(train) [321500/480000] base_lr: 5.0661e-05 lr: 1.4616e-05 eta: 4 days, 2:45:47 time: 2.2523 data_time: 0.1280 memory: 25795 grad_norm: 1.2150 loss: 1.2224 grounding_loss_reg: 2.8652 detection_loss_cls: 0.0463 detection_loss_reg: 0.4378 caption_loss_cls: 2.2254 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7354 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:25:05 - mmengine - INFO - Saving checkpoint at 321500 iterations 2023/10/30 19:29:37 - mmengine - INFO - Iter(train) [321600/480000] base_lr: 5.0605e-05 lr: 1.4601e-05 eta: 4 days, 2:45:56 time: 2.2438 data_time: 0.1298 memory: 26632 grad_norm: 1.2153 loss: 1.2267 grounding_loss_reg: 2.8666 detection_loss_cls: 0.0463 detection_loss_reg: 0.4384 caption_loss_cls: 2.2271 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7356 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:33:04 - mmengine - INFO - Iter(train) [321700/480000] base_lr: 5.0550e-05 lr: 1.4587e-05 eta: 4 days, 2:40:49 time: 2.2433 data_time: 0.1298 memory: 26632 grad_norm: 1.2174 loss: 1.2264 grounding_loss_reg: 2.8664 detection_loss_cls: 0.0464 detection_loss_reg: 0.4386 caption_loss_cls: 2.2235 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7353 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:36:46 - mmengine - INFO - Iter(train) [321800/480000] base_lr: 5.0494e-05 lr: 1.4573e-05 eta: 4 days, 2:36:50 time: 2.2406 data_time: 0.1297 memory: 26632 grad_norm: 1.2173 loss: 1.2226 grounding_loss_reg: 2.8649 detection_loss_cls: 0.0464 detection_loss_reg: 0.4390 caption_loss_cls: 2.2235 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7325 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:40:38 - mmengine - INFO - Iter(train) [321900/480000] base_lr: 5.0438e-05 lr: 1.4558e-05 eta: 4 days, 2:33:42 time: 2.2474 data_time: 0.1297 memory: 26632 grad_norm: 1.2145 loss: 1.2248 grounding_loss_reg: 2.8655 detection_loss_cls: 0.0465 detection_loss_reg: 0.4397 caption_loss_cls: 2.2232 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7314 semantic_segmentation_loss_cls: 0.0103 2023/10/30 19:44:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 19:44:33 - mmengine - INFO - Iter(train) [322000/480000] base_lr: 5.0383e-05 lr: 1.4544e-05 eta: 4 days, 2:30:50 time: 2.2561 data_time: 0.1298 memory: 26632 grad_norm: 1.2030 loss: 1.2224 grounding_loss_reg: 2.8661 detection_loss_cls: 0.0464 detection_loss_reg: 0.4393 caption_loss_cls: 2.2242 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7319 semantic_segmentation_loss_cls: 0.0102 2023/10/30 19:44:33 - mmengine - INFO - Saving checkpoint at 322000 iterations 2023/10/30 19:49:07 - mmengine - INFO - Iter(train) [322100/480000] base_lr: 5.0327e-05 lr: 1.4529e-05 eta: 4 days, 2:31:00 time: 2.2513 data_time: 0.1297 memory: 26632 grad_norm: 1.2067 loss: 1.2278 grounding_loss_reg: 2.8672 detection_loss_cls: 0.0467 detection_loss_reg: 0.4393 caption_loss_cls: 2.2247 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7320 semantic_segmentation_loss_cls: 0.0102 2023/10/30 19:53:05 - mmengine - INFO - Iter(train) [322200/480000] base_lr: 5.0271e-05 lr: 1.4515e-05 eta: 4 days, 2:28:17 time: 2.2539 data_time: 0.1297 memory: 26632 grad_norm: 1.2068 loss: 1.2278 grounding_loss_reg: 2.8661 detection_loss_cls: 0.0466 detection_loss_reg: 0.4393 caption_loss_cls: 2.2242 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7307 semantic_segmentation_loss_cls: 0.0102 2023/10/30 19:56:27 - mmengine - INFO - Iter(train) [322300/480000] base_lr: 5.0216e-05 lr: 1.4500e-05 eta: 4 days, 2:22:45 time: 2.2517 data_time: 0.1297 memory: 25795 grad_norm: 1.2108 loss: 1.2240 grounding_loss_reg: 2.8664 detection_loss_cls: 0.0467 detection_loss_reg: 0.4406 caption_loss_cls: 2.2242 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7305 semantic_segmentation_loss_cls: 0.0102 2023/10/30 19:59:41 - mmengine - INFO - Iter(train) [322400/480000] base_lr: 5.0160e-05 lr: 1.4486e-05 eta: 4 days, 2:16:35 time: 2.2450 data_time: 0.1297 memory: 25795 grad_norm: 1.2157 loss: 1.2308 grounding_loss_reg: 2.8680 detection_loss_cls: 0.0467 detection_loss_reg: 0.4405 caption_loss_cls: 2.2256 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7319 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:02:45 - mmengine - INFO - Iter(train) [322500/480000] base_lr: 5.0104e-05 lr: 1.4472e-05 eta: 4 days, 2:09:43 time: 2.2429 data_time: 0.1297 memory: 26632 grad_norm: 1.2156 loss: 1.2349 grounding_loss_reg: 2.8677 detection_loss_cls: 0.0468 detection_loss_reg: 0.4411 caption_loss_cls: 2.2249 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7319 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:02:45 - mmengine - INFO - Saving checkpoint at 322500 iterations 2023/10/30 20:07:30 - mmengine - INFO - Iter(train) [322600/480000] base_lr: 5.0049e-05 lr: 1.4457e-05 eta: 4 days, 2:10:41 time: 2.2438 data_time: 0.1301 memory: 25795 grad_norm: 1.2166 loss: 1.2296 grounding_loss_reg: 2.8667 detection_loss_cls: 0.0468 detection_loss_reg: 0.4403 caption_loss_cls: 2.2211 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7297 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:10:57 - mmengine - INFO - Iter(train) [322700/480000] base_lr: 4.9993e-05 lr: 1.4443e-05 eta: 4 days, 2:05:33 time: 2.2499 data_time: 0.1301 memory: 26632 grad_norm: 1.2073 loss: 1.2222 grounding_loss_reg: 2.8656 detection_loss_cls: 0.0469 detection_loss_reg: 0.4392 caption_loss_cls: 2.2206 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7296 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:14:18 - mmengine - INFO - Iter(train) [322800/480000] base_lr: 4.9938e-05 lr: 1.4428e-05 eta: 4 days, 1:59:58 time: 2.2451 data_time: 0.1300 memory: 25795 grad_norm: 1.2150 loss: 1.2239 grounding_loss_reg: 2.8637 detection_loss_cls: 0.0469 detection_loss_reg: 0.4397 caption_loss_cls: 2.2214 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7296 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:17:26 - mmengine - INFO - Iter(train) [322900/480000] base_lr: 4.9882e-05 lr: 1.4414e-05 eta: 4 days, 1:53:28 time: 2.2404 data_time: 0.1300 memory: 25795 grad_norm: 1.2170 loss: 1.2196 grounding_loss_reg: 2.8661 detection_loss_cls: 0.0469 detection_loss_reg: 0.4403 caption_loss_cls: 2.2230 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7294 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:21:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 20:21:01 - mmengine - INFO - Iter(train) [323000/480000] base_lr: 4.9827e-05 lr: 1.4400e-05 eta: 4 days, 1:48:58 time: 2.2434 data_time: 0.1300 memory: 26632 grad_norm: 1.2196 loss: 1.2207 grounding_loss_reg: 2.8633 detection_loss_cls: 0.0469 detection_loss_reg: 0.4404 caption_loss_cls: 2.2245 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7298 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:21:01 - mmengine - INFO - Saving checkpoint at 323000 iterations 2023/10/30 20:25:32 - mmengine - INFO - Iter(train) [323100/480000] base_lr: 4.9771e-05 lr: 1.4385e-05 eta: 4 days, 1:48:50 time: 2.2466 data_time: 0.1298 memory: 25795 grad_norm: 1.2154 loss: 1.2205 grounding_loss_reg: 2.8607 detection_loss_cls: 0.0467 detection_loss_reg: 0.4395 caption_loss_cls: 2.2247 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7311 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:28:31 - mmengine - INFO - Iter(train) [323200/480000] base_lr: 4.9716e-05 lr: 1.4371e-05 eta: 4 days, 1:41:37 time: 2.2393 data_time: 0.1298 memory: 25795 grad_norm: 1.2190 loss: 1.2194 grounding_loss_reg: 2.8614 detection_loss_cls: 0.0466 detection_loss_reg: 0.4386 caption_loss_cls: 2.2257 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7305 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:32:06 - mmengine - INFO - Iter(train) [323300/480000] base_lr: 4.9660e-05 lr: 1.4356e-05 eta: 4 days, 1:37:09 time: 2.2440 data_time: 0.1299 memory: 25795 grad_norm: 1.2197 loss: 1.2216 grounding_loss_reg: 2.8619 detection_loss_cls: 0.0465 detection_loss_reg: 0.4382 caption_loss_cls: 2.2229 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7308 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:35:34 - mmengine - INFO - Iter(train) [323400/480000] base_lr: 4.9605e-05 lr: 1.4342e-05 eta: 4 days, 1:32:13 time: 2.2436 data_time: 0.1297 memory: 26632 grad_norm: 1.2224 loss: 1.2191 grounding_loss_reg: 2.8628 detection_loss_cls: 0.0466 detection_loss_reg: 0.4388 caption_loss_cls: 2.2196 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7308 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:39:13 - mmengine - INFO - Iter(train) [323500/480000] base_lr: 4.9550e-05 lr: 1.4328e-05 eta: 4 days, 1:28:04 time: 2.2500 data_time: 0.1297 memory: 26632 grad_norm: 1.2156 loss: 1.2115 grounding_loss_reg: 2.8598 detection_loss_cls: 0.0462 detection_loss_reg: 0.4378 caption_loss_cls: 2.2212 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7283 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:39:13 - mmengine - INFO - Saving checkpoint at 323500 iterations 2023/10/30 20:44:09 - mmengine - INFO - Iter(train) [323600/480000] base_lr: 4.9494e-05 lr: 1.4313e-05 eta: 4 days, 1:29:42 time: 2.2596 data_time: 0.1301 memory: 26632 grad_norm: 1.2136 loss: 1.2059 grounding_loss_reg: 2.8591 detection_loss_cls: 0.0463 detection_loss_reg: 0.4382 caption_loss_cls: 2.2176 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7280 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:47:47 - mmengine - INFO - Iter(train) [323700/480000] base_lr: 4.9439e-05 lr: 1.4299e-05 eta: 4 days, 1:25:32 time: 2.2517 data_time: 0.1293 memory: 25795 grad_norm: 1.2064 loss: 1.1977 grounding_loss_reg: 2.8592 detection_loss_cls: 0.0462 detection_loss_reg: 0.4381 caption_loss_cls: 2.2146 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7277 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:51:30 - mmengine - INFO - Iter(train) [323800/480000] base_lr: 4.9384e-05 lr: 1.4285e-05 eta: 4 days, 1:21:39 time: 2.2427 data_time: 0.1293 memory: 26632 grad_norm: 1.2018 loss: 1.2048 grounding_loss_reg: 2.8590 detection_loss_cls: 0.0463 detection_loss_reg: 0.4379 caption_loss_cls: 2.2135 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7277 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:55:25 - mmengine - INFO - Iter(train) [323900/480000] base_lr: 4.9328e-05 lr: 1.4270e-05 eta: 4 days, 1:18:42 time: 2.2490 data_time: 0.1298 memory: 25795 grad_norm: 1.2061 loss: 1.2039 grounding_loss_reg: 2.8573 detection_loss_cls: 0.0462 detection_loss_reg: 0.4379 caption_loss_cls: 2.2137 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:59:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 20:59:20 - mmengine - INFO - Iter(train) [324000/480000] base_lr: 4.9273e-05 lr: 1.4256e-05 eta: 4 days, 1:15:45 time: 2.2582 data_time: 0.1306 memory: 26632 grad_norm: 1.2026 loss: 1.2058 grounding_loss_reg: 2.8580 detection_loss_cls: 0.0460 detection_loss_reg: 0.4371 caption_loss_cls: 2.2140 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7287 semantic_segmentation_loss_cls: 0.0102 2023/10/30 20:59:20 - mmengine - INFO - Saving checkpoint at 324000 iterations 2023/10/30 21:03:54 - mmengine - INFO - Iter(train) [324100/480000] base_lr: 4.9218e-05 lr: 1.4242e-05 eta: 4 days, 1:15:38 time: 2.2660 data_time: 0.1452 memory: 26632 grad_norm: 1.2020 loss: 1.2034 grounding_loss_reg: 2.8573 detection_loss_cls: 0.0458 detection_loss_reg: 0.4364 caption_loss_cls: 2.2112 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7292 semantic_segmentation_loss_cls: 0.0102 2023/10/30 21:07:09 - mmengine - INFO - Iter(train) [324200/480000] base_lr: 4.9163e-05 lr: 1.4227e-05 eta: 4 days, 1:09:46 time: 2.2680 data_time: 0.1452 memory: 26632 grad_norm: 1.2057 loss: 1.2010 grounding_loss_reg: 2.8555 detection_loss_cls: 0.0458 detection_loss_reg: 0.4367 caption_loss_cls: 2.2091 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7303 semantic_segmentation_loss_cls: 0.0102 2023/10/30 21:10:45 - mmengine - INFO - Iter(train) [324300/480000] base_lr: 4.9108e-05 lr: 1.4213e-05 eta: 4 days, 1:05:22 time: 2.2700 data_time: 0.1452 memory: 25795 grad_norm: 1.2095 loss: 1.2003 grounding_loss_reg: 2.8542 detection_loss_cls: 0.0458 detection_loss_reg: 0.4363 caption_loss_cls: 2.2047 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7300 semantic_segmentation_loss_cls: 0.0103 2023/10/30 21:14:23 - mmengine - INFO - Iter(train) [324400/480000] base_lr: 4.9052e-05 lr: 1.4199e-05 eta: 4 days, 1:01:08 time: 2.2693 data_time: 0.1452 memory: 26632 grad_norm: 1.2103 loss: 1.1951 grounding_loss_reg: 2.8532 detection_loss_cls: 0.0457 detection_loss_reg: 0.4346 caption_loss_cls: 2.2036 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7276 semantic_segmentation_loss_cls: 0.0103 2023/10/30 21:18:07 - mmengine - INFO - Iter(train) [324500/480000] base_lr: 4.8997e-05 lr: 1.4184e-05 eta: 4 days, 0:57:20 time: 2.2740 data_time: 0.1453 memory: 26632 grad_norm: 1.2104 loss: 1.1940 grounding_loss_reg: 2.8532 detection_loss_cls: 0.0455 detection_loss_reg: 0.4342 caption_loss_cls: 2.2015 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7276 semantic_segmentation_loss_cls: 0.0103 2023/10/30 21:18:07 - mmengine - INFO - Saving checkpoint at 324500 iterations 2023/10/30 21:22:44 - mmengine - INFO - Iter(train) [324600/480000] base_lr: 4.8942e-05 lr: 1.4170e-05 eta: 4 days, 0:57:27 time: 2.2716 data_time: 0.1452 memory: 26632 grad_norm: 1.2227 loss: 1.2071 grounding_loss_reg: 2.8540 detection_loss_cls: 0.0455 detection_loss_reg: 0.4343 caption_loss_cls: 2.2038 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.7283 semantic_segmentation_loss_cls: 0.0102 2023/10/30 21:26:06 - mmengine - INFO - Iter(train) [324700/480000] base_lr: 4.8887e-05 lr: 1.4156e-05 eta: 4 days, 0:52:04 time: 2.2722 data_time: 0.1454 memory: 25795 grad_norm: 1.2289 loss: 1.2089 grounding_loss_reg: 2.8529 detection_loss_cls: 0.0457 detection_loss_reg: 0.4351 caption_loss_cls: 2.2028 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7295 semantic_segmentation_loss_cls: 0.0102 2023/10/30 21:29:19 - mmengine - INFO - Iter(train) [324800/480000] base_lr: 4.8832e-05 lr: 1.4142e-05 eta: 4 days, 0:46:00 time: 2.2661 data_time: 0.1453 memory: 25795 grad_norm: 1.2401 loss: 1.2127 grounding_loss_reg: 2.8539 detection_loss_cls: 0.0457 detection_loss_reg: 0.4351 caption_loss_cls: 2.2009 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0102 2023/10/30 21:33:11 - mmengine - INFO - Iter(train) [324900/480000] base_lr: 4.8777e-05 lr: 1.4127e-05 eta: 4 days, 0:42:49 time: 2.2674 data_time: 0.1470 memory: 26632 grad_norm: 1.2382 loss: 1.2108 grounding_loss_reg: 2.8534 detection_loss_cls: 0.0457 detection_loss_reg: 0.4352 caption_loss_cls: 2.1982 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7256 semantic_segmentation_loss_cls: 0.0103 2023/10/30 21:36:49 - mmengine - INFO - Exp name: univision_joint_all_huge_20231029_214208 2023/10/30 21:36:49 - mmengine - INFO - Iter(train) [325000/480000] base_lr: 4.8722e-05 lr: 1.4113e-05 eta: 4 days, 0:38:37 time: 2.2652 data_time: 0.1487 memory: 25795 grad_norm: 1.2428 loss: 1.2120 grounding_loss_reg: 2.8515 detection_loss_cls: 0.0457 detection_loss_reg: 0.4356 caption_loss_cls: 2.2001 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7254 semantic_segmentation_loss_cls: 0.0103 2023/10/30 21:36:49 - mmengine - INFO - Saving checkpoint at 325000 iterations 2023/10/30 21:41:20 - mmengine - INFO - Iter(train) [325100/480000] base_lr: 4.8667e-05 lr: 1.4099e-05 eta: 4 days, 0:38:10 time: 2.2587 data_time: 0.1487 memory: 26632 grad_norm: 1.2465 loss: 1.2264 grounding_loss_reg: 2.8510 detection_loss_cls: 0.0457 detection_loss_reg: 0.4359 caption_loss_cls: 2.1993 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7244 semantic_segmentation_loss_cls: 0.0103 2023/10/31 04:57:58 - mmengine - INFO - Iter(train) [325200/480000] base_lr: 4.8612e-05 lr: 1.4085e-05 eta: 2 days, 10:37:00 time: 2.2059 data_time: 0.1324 memory: 25718 grad_norm: 1.2666 loss: 1.2305 grounding_loss_reg: 2.8510 detection_loss_cls: 0.0461 detection_loss_reg: 0.4375 caption_loss_cls: 2.1956 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7251 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:00:33 - mmengine - INFO - Iter(train) [325300/480000] base_lr: 4.8557e-05 lr: 1.4070e-05 eta: 2 days, 13:08:36 time: 2.1940 data_time: 0.1325 memory: 25718 grad_norm: 1.2782 loss: 1.2282 grounding_loss_reg: 2.8499 detection_loss_cls: 0.0461 detection_loss_reg: 0.4378 caption_loss_cls: 2.1944 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7257 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:03:02 - mmengine - INFO - Iter(train) [325400/480000] base_lr: 4.8502e-05 lr: 1.4056e-05 eta: 2 days, 13:52:12 time: 2.1760 data_time: 0.1325 memory: 25718 grad_norm: 1.2847 loss: 1.2306 grounding_loss_reg: 2.8520 detection_loss_cls: 0.0461 detection_loss_reg: 0.4381 caption_loss_cls: 2.1937 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7266 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:05:52 - mmengine - INFO - Iter(train) [325500/480000] base_lr: 4.8447e-05 lr: 1.4042e-05 eta: 2 days, 16:01:35 time: 2.1622 data_time: 0.1326 memory: 25718 grad_norm: 1.2811 loss: 1.2306 grounding_loss_reg: 2.8514 detection_loss_cls: 0.0460 detection_loss_reg: 0.4375 caption_loss_cls: 2.1937 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7272 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:05:52 - mmengine - INFO - Saving checkpoint at 325500 iterations 2023/10/31 05:09:38 - mmengine - INFO - Iter(train) [325600/480000] base_lr: 4.8392e-05 lr: 1.4028e-05 eta: 2 days, 21:31:07 time: 2.1507 data_time: 0.1307 memory: 25718 grad_norm: 1.2964 loss: 1.2312 grounding_loss_reg: 2.8473 detection_loss_cls: 0.0459 detection_loss_reg: 0.4369 caption_loss_cls: 2.1935 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7264 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:12:31 - mmengine - INFO - Iter(train) [325700/480000] base_lr: 4.8337e-05 lr: 1.4013e-05 eta: 2 days, 22:08:06 time: 2.1421 data_time: 0.1306 memory: 25718 grad_norm: 1.3007 loss: 1.2308 grounding_loss_reg: 2.8472 detection_loss_cls: 0.0457 detection_loss_reg: 0.4364 caption_loss_cls: 2.1946 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7253 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:15:21 - mmengine - INFO - Iter(train) [325800/480000] base_lr: 4.8282e-05 lr: 1.3999e-05 eta: 2 days, 22:25:20 time: 2.1292 data_time: 0.1306 memory: 25718 grad_norm: 1.3115 loss: 1.2374 grounding_loss_reg: 2.8435 detection_loss_cls: 0.0458 detection_loss_reg: 0.4369 caption_loss_cls: 2.1976 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7240 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:18:05 - mmengine - INFO - Iter(train) [325900/480000] base_lr: 4.8228e-05 lr: 1.3985e-05 eta: 2 days, 22:19:56 time: 2.1121 data_time: 0.1307 memory: 26559 grad_norm: 1.3189 loss: 1.2435 grounding_loss_reg: 2.8431 detection_loss_cls: 0.0458 detection_loss_reg: 0.4364 caption_loss_cls: 2.1968 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7235 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:20:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 05:20:53 - mmengine - INFO - Iter(train) [326000/480000] base_lr: 4.8173e-05 lr: 1.3971e-05 eta: 2 days, 22:27:27 time: 2.0953 data_time: 0.1307 memory: 26559 grad_norm: 1.3403 loss: 1.2550 grounding_loss_reg: 2.8420 detection_loss_cls: 0.0460 detection_loss_reg: 0.4381 caption_loss_cls: 2.1987 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7222 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:20:53 - mmengine - INFO - Saving checkpoint at 326000 iterations 2023/10/31 05:24:41 - mmengine - INFO - Iter(train) [326100/480000] base_lr: 4.8118e-05 lr: 1.3956e-05 eta: 3 days, 0:51:10 time: 2.0838 data_time: 0.1306 memory: 26559 grad_norm: 1.3412 loss: 1.2523 grounding_loss_reg: 2.8416 detection_loss_cls: 0.0461 detection_loss_reg: 0.4382 caption_loss_cls: 2.1975 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7230 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:27:41 - mmengine - INFO - Iter(train) [326200/480000] base_lr: 4.8063e-05 lr: 1.3942e-05 eta: 3 days, 1:09:12 time: 2.0694 data_time: 0.1306 memory: 25718 grad_norm: 1.3516 loss: 1.2572 grounding_loss_reg: 2.8419 detection_loss_cls: 0.0461 detection_loss_reg: 0.4380 caption_loss_cls: 2.1941 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7227 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:31:01 - mmengine - INFO - Iter(train) [326300/480000] base_lr: 4.8008e-05 lr: 1.3928e-05 eta: 3 days, 2:02:29 time: 2.0688 data_time: 0.1307 memory: 25718 grad_norm: 1.3477 loss: 1.2533 grounding_loss_reg: 2.8415 detection_loss_cls: 0.0462 detection_loss_reg: 0.4377 caption_loss_cls: 2.1957 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7202 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:34:12 - mmengine - INFO - Iter(train) [326400/480000] base_lr: 4.7954e-05 lr: 1.3914e-05 eta: 3 days, 2:31:56 time: 2.0682 data_time: 0.1306 memory: 25718 grad_norm: 1.3579 loss: 1.2544 grounding_loss_reg: 2.8399 detection_loss_cls: 0.0460 detection_loss_reg: 0.4369 caption_loss_cls: 2.1974 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7208 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:37:26 - mmengine - INFO - Iter(train) [326500/480000] base_lr: 4.7899e-05 lr: 1.3900e-05 eta: 3 days, 3:02:01 time: 2.0706 data_time: 0.1307 memory: 25718 grad_norm: 1.3646 loss: 1.2497 grounding_loss_reg: 2.8397 detection_loss_cls: 0.0460 detection_loss_reg: 0.4364 caption_loss_cls: 2.1967 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7199 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:37:26 - mmengine - INFO - Saving checkpoint at 326500 iterations 2023/10/31 05:41:53 - mmengine - INFO - Iter(train) [326600/480000] base_lr: 4.7844e-05 lr: 1.3886e-05 eta: 3 days, 5:24:44 time: 2.0662 data_time: 0.1313 memory: 25718 grad_norm: 1.3695 loss: 1.2506 grounding_loss_reg: 2.8377 detection_loss_cls: 0.0460 detection_loss_reg: 0.4358 caption_loss_cls: 2.1983 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7196 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:44:56 - mmengine - INFO - Iter(train) [326700/480000] base_lr: 4.7790e-05 lr: 1.3871e-05 eta: 3 days, 5:23:33 time: 2.0602 data_time: 0.1315 memory: 26559 grad_norm: 1.3798 loss: 1.2521 grounding_loss_reg: 2.8361 detection_loss_cls: 0.0459 detection_loss_reg: 0.4356 caption_loss_cls: 2.1963 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7198 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:48:34 - mmengine - INFO - Iter(train) [326800/480000] base_lr: 4.7735e-05 lr: 1.3857e-05 eta: 3 days, 6:11:01 time: 2.0644 data_time: 0.1316 memory: 25718 grad_norm: 1.3848 loss: 1.2546 grounding_loss_reg: 2.8344 detection_loss_cls: 0.0459 detection_loss_reg: 0.4362 caption_loss_cls: 2.1976 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7192 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:52:09 - mmengine - INFO - Iter(train) [326900/480000] base_lr: 4.7680e-05 lr: 1.3843e-05 eta: 3 days, 6:50:08 time: 2.0710 data_time: 0.1317 memory: 25718 grad_norm: 1.3903 loss: 1.2490 grounding_loss_reg: 2.8339 detection_loss_cls: 0.0458 detection_loss_reg: 0.4357 caption_loss_cls: 2.1969 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7181 semantic_segmentation_loss_cls: 0.0103 2023/10/31 05:55:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 05:55:24 - mmengine - INFO - Iter(train) [327000/480000] base_lr: 4.7626e-05 lr: 1.3829e-05 eta: 3 days, 6:59:40 time: 2.0662 data_time: 0.1317 memory: 25718 grad_norm: 1.3977 loss: 1.2504 grounding_loss_reg: 2.8337 detection_loss_cls: 0.0459 detection_loss_reg: 0.4360 caption_loss_cls: 2.1972 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7179 semantic_segmentation_loss_cls: 0.0102 2023/10/31 05:55:24 - mmengine - INFO - Saving checkpoint at 327000 iterations 2023/10/31 05:59:53 - mmengine - INFO - Iter(train) [327100/480000] base_lr: 4.7571e-05 lr: 1.3815e-05 eta: 3 days, 8:36:40 time: 2.0654 data_time: 0.1319 memory: 25718 grad_norm: 1.4016 loss: 1.2498 grounding_loss_reg: 2.8337 detection_loss_cls: 0.0458 detection_loss_reg: 0.4356 caption_loss_cls: 2.1962 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7191 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:03:11 - mmengine - INFO - Iter(train) [327200/480000] base_lr: 4.7517e-05 lr: 1.3801e-05 eta: 3 days, 8:43:36 time: 2.0704 data_time: 0.1320 memory: 26559 grad_norm: 1.4041 loss: 1.2525 grounding_loss_reg: 2.8311 detection_loss_cls: 0.0457 detection_loss_reg: 0.4356 caption_loss_cls: 2.1918 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7192 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:06:19 - mmengine - INFO - Iter(train) [327300/480000] base_lr: 4.7462e-05 lr: 1.3787e-05 eta: 3 days, 8:38:15 time: 2.0637 data_time: 0.1320 memory: 25718 grad_norm: 1.4167 loss: 1.2504 grounding_loss_reg: 2.8283 detection_loss_cls: 0.0456 detection_loss_reg: 0.4344 caption_loss_cls: 2.1918 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7186 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:09:24 - mmengine - INFO - Iter(train) [327400/480000] base_lr: 4.7408e-05 lr: 1.3772e-05 eta: 3 days, 8:28:45 time: 2.0576 data_time: 0.1319 memory: 26559 grad_norm: 1.4285 loss: 1.2524 grounding_loss_reg: 2.8246 detection_loss_cls: 0.0456 detection_loss_reg: 0.4345 caption_loss_cls: 2.1894 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7186 semantic_segmentation_loss_cls: 0.0102 2023/10/31 06:13:11 - mmengine - INFO - Iter(train) [327500/480000] base_lr: 4.7353e-05 lr: 1.3758e-05 eta: 3 days, 9:03:31 time: 2.0597 data_time: 0.1320 memory: 26559 grad_norm: 1.4305 loss: 1.2548 grounding_loss_reg: 2.8245 detection_loss_cls: 0.0455 detection_loss_reg: 0.4338 caption_loss_cls: 2.1903 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7180 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:13:11 - mmengine - INFO - Saving checkpoint at 327500 iterations 2023/10/31 06:17:30 - mmengine - INFO - Iter(train) [327600/480000] base_lr: 4.7299e-05 lr: 1.3744e-05 eta: 3 days, 10:06:26 time: 2.0506 data_time: 0.1323 memory: 25718 grad_norm: 1.4419 loss: 1.2610 grounding_loss_reg: 2.8214 detection_loss_cls: 0.0456 detection_loss_reg: 0.4342 caption_loss_cls: 2.1899 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7182 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:21:36 - mmengine - INFO - Iter(train) [327700/480000] base_lr: 4.7244e-05 lr: 1.3730e-05 eta: 3 days, 10:52:26 time: 2.0575 data_time: 0.1323 memory: 25718 grad_norm: 1.4504 loss: 1.2644 grounding_loss_reg: 2.8219 detection_loss_cls: 0.0457 detection_loss_reg: 0.4352 caption_loss_cls: 2.1880 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.7182 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:25:18 - mmengine - INFO - Iter(train) [327800/480000] base_lr: 4.7190e-05 lr: 1.3716e-05 eta: 3 days, 11:12:20 time: 2.0572 data_time: 0.1329 memory: 25718 grad_norm: 1.4629 loss: 1.2678 grounding_loss_reg: 2.8217 detection_loss_cls: 0.0457 detection_loss_reg: 0.4355 caption_loss_cls: 2.1887 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7176 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:28:43 - mmengine - INFO - Iter(train) [327900/480000] base_lr: 4.7136e-05 lr: 1.3702e-05 eta: 3 days, 11:15:52 time: 2.0496 data_time: 0.1325 memory: 26559 grad_norm: 1.4682 loss: 1.2645 grounding_loss_reg: 2.8186 detection_loss_cls: 0.0458 detection_loss_reg: 0.4357 caption_loss_cls: 2.1905 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2799 instance_segmentation_loss_poly: 0.7166 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:32:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 06:32:04 - mmengine - INFO - Iter(train) [328000/480000] base_lr: 4.7081e-05 lr: 1.3688e-05 eta: 3 days, 11:16:27 time: 2.0413 data_time: 0.1317 memory: 25718 grad_norm: 1.4786 loss: 1.2631 grounding_loss_reg: 2.8186 detection_loss_cls: 0.0457 detection_loss_reg: 0.4344 caption_loss_cls: 2.1885 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2798 instance_segmentation_loss_poly: 0.7164 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:32:04 - mmengine - INFO - Saving checkpoint at 328000 iterations 2023/10/31 06:36:57 - mmengine - INFO - Iter(train) [328100/480000] base_lr: 4.7027e-05 lr: 1.3674e-05 eta: 3 days, 12:30:49 time: 2.0460 data_time: 0.1319 memory: 26559 grad_norm: 1.4944 loss: 1.2714 grounding_loss_reg: 2.8182 detection_loss_cls: 0.0457 detection_loss_reg: 0.4345 caption_loss_cls: 2.1879 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2800 instance_segmentation_loss_poly: 0.7170 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:40:33 - mmengine - INFO - Iter(train) [328200/480000] base_lr: 4.6973e-05 lr: 1.3660e-05 eta: 3 days, 12:40:05 time: 2.0512 data_time: 0.1320 memory: 25718 grad_norm: 1.4989 loss: 1.2751 grounding_loss_reg: 2.8187 detection_loss_cls: 0.0454 detection_loss_reg: 0.4322 caption_loss_cls: 2.1860 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7170 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:44:21 - mmengine - INFO - Iter(train) [328300/480000] base_lr: 4.6918e-05 lr: 1.3645e-05 eta: 3 days, 12:57:13 time: 2.0541 data_time: 0.1320 memory: 25718 grad_norm: 1.5038 loss: 1.2777 grounding_loss_reg: 2.8181 detection_loss_cls: 0.0452 detection_loss_reg: 0.4317 caption_loss_cls: 2.1835 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7169 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:47:29 - mmengine - INFO - Iter(train) [328400/480000] base_lr: 4.6864e-05 lr: 1.3631e-05 eta: 3 days, 12:43:39 time: 2.0467 data_time: 0.1320 memory: 26559 grad_norm: 1.5224 loss: 1.2854 grounding_loss_reg: 2.8184 detection_loss_cls: 0.0451 detection_loss_reg: 0.4323 caption_loss_cls: 2.1855 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7171 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:51:02 - mmengine - INFO - Iter(train) [328500/480000] base_lr: 4.6810e-05 lr: 1.3617e-05 eta: 3 days, 12:48:49 time: 2.0440 data_time: 0.1320 memory: 26559 grad_norm: 1.5271 loss: 1.2861 grounding_loss_reg: 2.8178 detection_loss_cls: 0.0449 detection_loss_reg: 0.4310 caption_loss_cls: 2.1846 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7188 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:51:02 - mmengine - INFO - Saving checkpoint at 328500 iterations 2023/10/31 06:55:17 - mmengine - INFO - Iter(train) [328600/480000] base_lr: 4.6756e-05 lr: 1.3603e-05 eta: 3 days, 13:23:27 time: 2.0385 data_time: 0.1315 memory: 25718 grad_norm: 1.5335 loss: 1.2840 grounding_loss_reg: 2.8193 detection_loss_cls: 0.0449 detection_loss_reg: 0.4310 caption_loss_cls: 2.1876 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7194 semantic_segmentation_loss_cls: 0.0103 2023/10/31 06:59:12 - mmengine - INFO - Iter(train) [328700/480000] base_lr: 4.6701e-05 lr: 1.3589e-05 eta: 3 days, 13:41:25 time: 2.0467 data_time: 0.1313 memory: 25718 grad_norm: 1.5225 loss: 1.2759 grounding_loss_reg: 2.8170 detection_loss_cls: 0.0447 detection_loss_reg: 0.4302 caption_loss_cls: 2.1894 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7195 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:03:12 - mmengine - INFO - Iter(train) [328800/480000] base_lr: 4.6647e-05 lr: 1.3575e-05 eta: 3 days, 14:01:59 time: 2.0586 data_time: 0.1313 memory: 26559 grad_norm: 1.5170 loss: 1.2688 grounding_loss_reg: 2.8163 detection_loss_cls: 0.0446 detection_loss_reg: 0.4287 caption_loss_cls: 2.1888 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7185 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:06:44 - mmengine - INFO - Iter(train) [328900/480000] base_lr: 4.6593e-05 lr: 1.3561e-05 eta: 3 days, 14:03:03 time: 2.0535 data_time: 0.1297 memory: 26559 grad_norm: 1.5327 loss: 1.2808 grounding_loss_reg: 2.8165 detection_loss_cls: 0.0446 detection_loss_reg: 0.4294 caption_loss_cls: 2.1913 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.7168 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:10:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 07:10:40 - mmengine - INFO - Iter(train) [329000/480000] base_lr: 4.6539e-05 lr: 1.3547e-05 eta: 3 days, 14:19:13 time: 2.0580 data_time: 0.1280 memory: 26559 grad_norm: 1.5336 loss: 1.2812 grounding_loss_reg: 2.8153 detection_loss_cls: 0.0447 detection_loss_reg: 0.4301 caption_loss_cls: 2.1923 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7187 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:10:40 - mmengine - INFO - Saving checkpoint at 329000 iterations 2023/10/31 07:15:12 - mmengine - INFO - Iter(train) [329100/480000] base_lr: 4.6485e-05 lr: 1.3533e-05 eta: 3 days, 14:56:28 time: 2.0937 data_time: 0.1436 memory: 26559 grad_norm: 1.5337 loss: 1.2806 grounding_loss_reg: 2.8152 detection_loss_cls: 0.0447 detection_loss_reg: 0.4304 caption_loss_cls: 2.1908 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7189 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:19:02 - mmengine - INFO - Iter(train) [329200/480000] base_lr: 4.6431e-05 lr: 1.3519e-05 eta: 3 days, 15:06:40 time: 2.1154 data_time: 0.1437 memory: 25718 grad_norm: 1.5343 loss: 1.2806 grounding_loss_reg: 2.8158 detection_loss_cls: 0.0448 detection_loss_reg: 0.4311 caption_loss_cls: 2.1933 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7208 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:22:43 - mmengine - INFO - Iter(train) [329300/480000] base_lr: 4.6377e-05 lr: 1.3505e-05 eta: 3 days, 15:10:28 time: 2.1319 data_time: 0.1437 memory: 26559 grad_norm: 1.5352 loss: 1.2856 grounding_loss_reg: 2.8115 detection_loss_cls: 0.0447 detection_loss_reg: 0.4306 caption_loss_cls: 2.1953 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7169 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:26:24 - mmengine - INFO - Iter(train) [329400/480000] base_lr: 4.6323e-05 lr: 1.3491e-05 eta: 3 days, 15:14:10 time: 2.1498 data_time: 0.1437 memory: 26559 grad_norm: 1.5393 loss: 1.2904 grounding_loss_reg: 2.8099 detection_loss_cls: 0.0447 detection_loss_reg: 0.4312 caption_loss_cls: 2.1961 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7162 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:29:48 - mmengine - INFO - Iter(train) [329500/480000] base_lr: 4.6269e-05 lr: 1.3477e-05 eta: 3 days, 15:08:27 time: 2.1585 data_time: 0.1436 memory: 25718 grad_norm: 1.5456 loss: 1.2909 grounding_loss_reg: 2.8077 detection_loss_cls: 0.0448 detection_loss_reg: 0.4314 caption_loss_cls: 2.1956 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7159 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:29:48 - mmengine - INFO - Saving checkpoint at 329500 iterations 2023/10/31 07:34:43 - mmengine - INFO - Iter(train) [329600/480000] base_lr: 4.6215e-05 lr: 1.3463e-05 eta: 3 days, 15:51:57 time: 2.1755 data_time: 0.1439 memory: 25718 grad_norm: 1.5431 loss: 1.2889 grounding_loss_reg: 2.8075 detection_loss_cls: 0.0448 detection_loss_reg: 0.4320 caption_loss_cls: 2.1940 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7160 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:38:11 - mmengine - INFO - Iter(train) [329700/480000] base_lr: 4.6161e-05 lr: 1.3449e-05 eta: 3 days, 15:47:04 time: 2.1842 data_time: 0.1438 memory: 26559 grad_norm: 1.5435 loss: 1.2897 grounding_loss_reg: 2.8072 detection_loss_cls: 0.0449 detection_loss_reg: 0.4319 caption_loss_cls: 2.1942 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2800 instance_segmentation_loss_poly: 0.7148 semantic_segmentation_loss_cls: 0.0103 2023/10/31 07:42:16 - mmengine - INFO - Iter(train) [329800/480000] base_lr: 4.6107e-05 lr: 1.3435e-05 eta: 3 days, 16:01:31 time: 2.2029 data_time: 0.1439 memory: 26559 grad_norm: 1.5389 loss: 1.2846 grounding_loss_reg: 2.8068 detection_loss_cls: 0.0451 detection_loss_reg: 0.4334 caption_loss_cls: 2.1922 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7172 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:45:46 - mmengine - INFO - Iter(train) [329900/480000] base_lr: 4.6053e-05 lr: 1.3421e-05 eta: 3 days, 15:57:45 time: 2.2147 data_time: 0.1439 memory: 26559 grad_norm: 1.5494 loss: 1.2850 grounding_loss_reg: 2.8073 detection_loss_cls: 0.0452 detection_loss_reg: 0.4343 caption_loss_cls: 2.1915 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7158 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:48:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 07:48:58 - mmengine - INFO - Iter(train) [330000/480000] base_lr: 4.5999e-05 lr: 1.3407e-05 eta: 3 days, 15:44:47 time: 2.2206 data_time: 0.1439 memory: 26559 grad_norm: 1.5556 loss: 1.2858 grounding_loss_reg: 2.8048 detection_loss_cls: 0.0452 detection_loss_reg: 0.4342 caption_loss_cls: 2.1912 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2799 instance_segmentation_loss_poly: 0.7140 semantic_segmentation_loss_cls: 0.0104 2023/10/31 07:48:58 - mmengine - INFO - Saving checkpoint at 330000 iterations 2023/10/31 07:54:48 - mmengine - INFO - Evaluating bbox... 2023/10/31 07:55:51 - mmengine - INFO - bbox_mAP_copypaste: 0.520 0.699 0.569 0.359 0.566 0.671 2023/10/31 07:55:51 - mmengine - INFO - Evaluating segm... 2023/10/31 07:57:11 - mmengine - INFO - segm_mAP_copypaste: 0.346 0.605 0.346 0.200 0.390 0.529 2023/10/31 07:58:35 - mmengine - INFO - Evaluating bbox... 2023/10/31 07:59:42 - mmengine - INFO - bbox_mAP_copypaste: 0.521 0.700 0.570 0.360 0.568 0.672 2023/10/31 08:02:45 - mmengine - INFO - per class results: 2023/10/31 08:02:45 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.45 | 88.88 | | building | 82.82 | 92.07 | | sky | 93.1 | 97.59 | | floor | 81.97 | 90.38 | | tree | 74.05 | 89.39 | | ceiling | 84.28 | 94.1 | | road | 84.42 | 89.1 | | bed | 88.84 | 95.77 | | windowpane | 62.95 | 76.71 | | grass | 69.21 | 87.79 | | cabinet | 61.71 | 76.91 | | sidewalk | 66.93 | 81.19 | | person | 80.71 | 91.47 | | earth | 43.79 | 55.4 | | door | 53.73 | 68.46 | | table | 63.39 | 75.71 | | mountain | 62.42 | 74.49 | | plant | 52.3 | 59.04 | | curtain | 72.83 | 87.61 | | chair | 58.61 | 73.42 | | car | 82.57 | 91.25 | | water | 61.74 | 79.68 | | painting | 73.24 | 86.33 | | sofa | 71.29 | 78.11 | | shelf | 45.79 | 69.45 | | house | 40.26 | 52.59 | | sea | 62.1 | 80.27 | | mirror | 68.49 | 77.52 | | rug | 62.16 | 70.73 | | field | 29.66 | 41.21 | | armchair | 50.67 | 79.45 | | seat | 66.7 | 85.65 | | fence | 46.13 | 64.95 | | desk | 50.51 | 76.82 | | rock | 46.9 | 62.34 | | wardrobe | 52.79 | 60.48 | | lamp | 60.45 | 73.75 | | bathtub | 83.92 | 89.75 | | railing | 37.16 | 55.48 | | cushion | 58.07 | 74.01 | | base | 31.24 | 47.78 | | box | 29.63 | 39.91 | | column | 46.18 | 60.87 | | signboard | 38.09 | 50.54 | | chest of drawers | 36.8 | 60.6 | | counter | 25.97 | 35.21 | | sand | 55.19 | 74.97 | | sink | 73.21 | 79.98 | | skyscraper | 48.78 | 55.94 | | fireplace | 72.89 | 90.82 | | refrigerator | 71.62 | 78.27 | | grandstand | 45.28 | 80.74 | | path | 27.32 | 47.02 | | stairs | 35.57 | 43.15 | | runway | 73.94 | 93.02 | | case | 41.07 | 48.11 | | pool table | 87.97 | 94.09 | | pillow | 51.43 | 60.15 | | screen door | 75.42 | 79.55 | | stairway | 32.62 | 43.87 | | river | 18.58 | 23.94 | | bridge | 74.86 | 86.85 | | bookcase | 33.46 | 48.02 | | blind | 40.86 | 44.41 | | coffee table | 62.07 | 81.67 | | toilet | 86.28 | 89.63 | | flower | 35.41 | 52.12 | | book | 43.92 | 60.69 | | hill | 11.36 | 23.01 | | bench | 48.13 | 55.09 | | countertop | 60.91 | 71.5 | | stove | 74.64 | 83.1 | | palm | 49.28 | 73.62 | | kitchen island | 42.27 | 82.78 | | computer | 69.69 | 81.21 | | swivel chair | 45.44 | 57.25 | | boat | 69.82 | 86.62 | | bar | 36.23 | 42.79 | | arcade machine | 69.77 | 74.03 | | hovel | 49.97 | 68.0 | | bus | 92.43 | 95.99 | | towel | 58.54 | 73.78 | | light | 47.48 | 55.17 | | truck | 38.44 | 62.57 | | tower | 45.88 | 75.06 | | chandelier | 62.84 | 80.7 | | awning | 24.06 | 39.03 | | streetlight | 29.99 | 45.41 | | booth | 32.73 | 39.25 | | television receiver | 69.76 | 85.23 | | airplane | 63.1 | 70.46 | | dirt track | 0.92 | 3.54 | | apparel | 31.0 | 55.87 | | pole | 21.96 | 29.2 | | land | 0.72 | 0.83 | | bannister | 13.51 | 19.41 | | escalator | 17.68 | 18.39 | | ottoman | 53.53 | 72.36 | | bottle | 26.34 | 31.42 | | buffet | 33.05 | 34.99 | | poster | 29.2 | 41.47 | | stage | 9.46 | 16.1 | | van | 38.68 | 47.3 | | ship | 35.37 | 36.63 | | fountain | 27.4 | 28.4 | | conveyer belt | 74.18 | 87.89 | | canopy | 32.56 | 41.12 | | washer | 70.9 | 73.68 | | plaything | 25.02 | 46.85 | | swimming pool | 75.45 | 77.4 | | stool | 44.77 | 55.38 | | barrel | 35.55 | 64.77 | | basket | 32.8 | 51.28 | | waterfall | 77.4 | 88.16 | | tent | 90.51 | 95.13 | | bag | 19.85 | 23.89 | | minibike | 73.04 | 87.54 | | cradle | 71.47 | 89.38 | | oven | 44.29 | 53.3 | | ball | 49.61 | 65.2 | | food | 49.93 | 54.24 | | step | 9.12 | 11.99 | | tank | 50.56 | 57.98 | | trade name | 25.04 | 27.1 | | microwave | 86.93 | 92.17 | | pot | 50.69 | 58.07 | | animal | 62.24 | 67.05 | | bicycle | 60.54 | 79.09 | | lake | 55.04 | 62.52 | | dishwasher | 67.03 | 69.03 | | screen | 64.06 | 88.23 | | blanket | 9.01 | 10.15 | | sculpture | 71.73 | 80.49 | | hood | 64.22 | 78.12 | | sconce | 37.5 | 43.94 | | vase | 42.75 | 57.33 | | traffic light | 35.14 | 45.85 | | tray | 14.17 | 25.67 | | ashcan | 44.95 | 61.98 | | fan | 58.36 | 68.34 | | pier | 64.45 | 78.17 | | crt screen | 3.05 | 5.25 | | plate | 57.12 | 74.92 | | monitor | 19.26 | 27.08 | | bulletin board | 51.22 | 59.17 | | shower | 0.78 | 0.85 | | radiator | 55.37 | 62.44 | | glass | 17.51 | 18.85 | | clock | 25.19 | 29.42 | | flag | 61.99 | 71.64 | +---------------------+-------+-------+ 2023/10/31 08:03:09 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:28 time: 1.1858 data_time: 0.0323 memory: 27834 2023/10/31 08:03:30 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5210 coco/bbox_mAP_50: 0.7000 coco/bbox_mAP_75: 0.5700 coco/bbox_mAP_s: 0.3600 coco/bbox_mAP_m: 0.5680 coco/bbox_mAP_l: 0.6720 coco/segm_mAP: 0.3460 coco/segm_mAP_50: 0.6050 coco/segm_mAP_75: 0.3460 coco/segm_mAP_s: 0.2000 coco/segm_mAP_m: 0.3900 coco/segm_mAP_l: 0.5290 Bleu_1: 0.7599 Bleu_2: 0.5935 Bleu_3: 0.4525 Bleu_4: 0.3430 METEOR: 0.2817 ROUGE_L: 0.5680 CIDEr: 1.1501 SPICE: 0.2112 aAcc: 83.8100 mIoU: 50.8400 mAcc: 62.4900 visual-grounding/miou: 0.7902 visual-grounding/acc: 0.8607 data_time: 0.0019 time: 0.2308 2023/10/31 08:07:17 - mmengine - INFO - Iter(train) [330100/480000] base_lr: 4.5945e-05 lr: 1.3393e-05 eta: 3 days, 15:51:31 time: 2.2216 data_time: 0.1289 memory: 25719 grad_norm: 1.5619 loss: 1.2843 grounding_loss_reg: 2.8008 detection_loss_cls: 0.0453 detection_loss_reg: 0.4348 caption_loss_cls: 2.1909 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2795 instance_segmentation_loss_poly: 0.7135 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:11:06 - mmengine - INFO - Iter(train) [330200/480000] base_lr: 4.5891e-05 lr: 1.3379e-05 eta: 3 days, 15:56:47 time: 2.2339 data_time: 0.1289 memory: 25719 grad_norm: 1.5566 loss: 1.2808 grounding_loss_reg: 2.8004 detection_loss_cls: 0.0453 detection_loss_reg: 0.4347 caption_loss_cls: 2.1900 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2791 instance_segmentation_loss_poly: 0.7130 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:14:50 - mmengine - INFO - Iter(train) [330300/480000] base_lr: 4.5838e-05 lr: 1.3365e-05 eta: 3 days, 15:59:19 time: 2.2400 data_time: 0.1289 memory: 25719 grad_norm: 1.5587 loss: 1.2751 grounding_loss_reg: 2.7973 detection_loss_cls: 0.0452 detection_loss_reg: 0.4338 caption_loss_cls: 2.1896 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2787 instance_segmentation_loss_poly: 0.7125 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:18:21 - mmengine - INFO - Iter(train) [330400/480000] base_lr: 4.5784e-05 lr: 1.3351e-05 eta: 3 days, 15:55:25 time: 2.2450 data_time: 0.1289 memory: 25719 grad_norm: 1.5535 loss: 1.2674 grounding_loss_reg: 2.7947 detection_loss_cls: 0.0451 detection_loss_reg: 0.4322 caption_loss_cls: 2.1885 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2787 instance_segmentation_loss_poly: 0.7123 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:22:20 - mmengine - INFO - Iter(train) [330500/480000] base_lr: 4.5730e-05 lr: 1.3337e-05 eta: 3 days, 16:04:20 time: 2.2562 data_time: 0.1289 memory: 26559 grad_norm: 1.5435 loss: 1.2632 grounding_loss_reg: 2.7911 detection_loss_cls: 0.0451 detection_loss_reg: 0.4321 caption_loss_cls: 2.1904 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2780 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:22:20 - mmengine - INFO - Saving checkpoint at 330500 iterations 2023/10/31 08:27:24 - mmengine - INFO - Iter(train) [330600/480000] base_lr: 4.5676e-05 lr: 1.3323e-05 eta: 3 days, 16:41:22 time: 2.2652 data_time: 0.1292 memory: 26559 grad_norm: 1.5383 loss: 1.2603 grounding_loss_reg: 2.7906 detection_loss_cls: 0.0451 detection_loss_reg: 0.4311 caption_loss_cls: 2.1894 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2777 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:30:56 - mmengine - INFO - Iter(train) [330700/480000] base_lr: 4.5623e-05 lr: 1.3310e-05 eta: 3 days, 16:37:15 time: 2.2726 data_time: 0.1290 memory: 26559 grad_norm: 1.5439 loss: 1.2598 grounding_loss_reg: 2.7897 detection_loss_cls: 0.0450 detection_loss_reg: 0.4306 caption_loss_cls: 2.1904 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:34:31 - mmengine - INFO - Iter(train) [330800/480000] base_lr: 4.5569e-05 lr: 1.3296e-05 eta: 3 days, 16:34:04 time: 2.2719 data_time: 0.1290 memory: 25719 grad_norm: 1.5432 loss: 1.2592 grounding_loss_reg: 2.7899 detection_loss_cls: 0.0450 detection_loss_reg: 0.4294 caption_loss_cls: 2.1880 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2777 instance_segmentation_loss_poly: 0.7105 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:38:37 - mmengine - INFO - Iter(train) [330900/480000] base_lr: 4.5515e-05 lr: 1.3282e-05 eta: 3 days, 16:44:10 time: 2.2797 data_time: 0.1295 memory: 25719 grad_norm: 1.5407 loss: 1.2636 grounding_loss_reg: 2.7916 detection_loss_cls: 0.0451 detection_loss_reg: 0.4308 caption_loss_cls: 2.1883 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:41:59 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 08:41:59 - mmengine - INFO - Iter(train) [331000/480000] base_lr: 4.5462e-05 lr: 1.3268e-05 eta: 3 days, 16:35:40 time: 2.2815 data_time: 0.1295 memory: 25719 grad_norm: 1.5424 loss: 1.2684 grounding_loss_reg: 2.7894 detection_loss_cls: 0.0451 detection_loss_reg: 0.4308 caption_loss_cls: 2.1887 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7104 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:41:59 - mmengine - INFO - Saving checkpoint at 331000 iterations 2023/10/31 08:46:44 - mmengine - INFO - Iter(train) [331100/480000] base_lr: 4.5408e-05 lr: 1.3254e-05 eta: 3 days, 17:00:52 time: 2.2856 data_time: 0.1304 memory: 26559 grad_norm: 1.5461 loss: 1.2667 grounding_loss_reg: 2.7894 detection_loss_cls: 0.0451 detection_loss_reg: 0.4307 caption_loss_cls: 2.1876 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.7104 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:50:37 - mmengine - INFO - Iter(train) [331200/480000] base_lr: 4.5354e-05 lr: 1.3240e-05 eta: 3 days, 17:04:16 time: 2.2941 data_time: 0.1304 memory: 25719 grad_norm: 1.5407 loss: 1.2660 grounding_loss_reg: 2.7885 detection_loss_cls: 0.0451 detection_loss_reg: 0.4310 caption_loss_cls: 2.1889 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7109 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:54:34 - mmengine - INFO - Iter(train) [331300/480000] base_lr: 4.5301e-05 lr: 1.3226e-05 eta: 3 days, 17:09:13 time: 2.3064 data_time: 0.1304 memory: 25719 grad_norm: 1.5369 loss: 1.2665 grounding_loss_reg: 2.7909 detection_loss_cls: 0.0451 detection_loss_reg: 0.4312 caption_loss_cls: 2.1876 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0103 2023/10/31 08:58:16 - mmengine - INFO - Iter(train) [331400/480000] base_lr: 4.5247e-05 lr: 1.3212e-05 eta: 3 days, 17:07:40 time: 2.3156 data_time: 0.1311 memory: 25719 grad_norm: 1.5390 loss: 1.2657 grounding_loss_reg: 2.7877 detection_loss_cls: 0.0452 detection_loss_reg: 0.4321 caption_loss_cls: 2.1850 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7103 semantic_segmentation_loss_cls: 0.0103 2023/10/31 09:01:55 - mmengine - INFO - Iter(train) [331500/480000] base_lr: 4.5194e-05 lr: 1.3198e-05 eta: 3 days, 17:05:28 time: 2.3137 data_time: 0.1311 memory: 25719 grad_norm: 1.5380 loss: 1.2655 grounding_loss_reg: 2.7857 detection_loss_cls: 0.0453 detection_loss_reg: 0.4322 caption_loss_cls: 2.1838 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7111 semantic_segmentation_loss_cls: 0.0103 2023/10/31 09:01:55 - mmengine - INFO - Saving checkpoint at 331500 iterations 2023/10/31 09:06:28 - mmengine - INFO - Iter(train) [331600/480000] base_lr: 4.5140e-05 lr: 1.3184e-05 eta: 3 days, 17:23:16 time: 2.3172 data_time: 0.1313 memory: 26559 grad_norm: 1.5391 loss: 1.2690 grounding_loss_reg: 2.7872 detection_loss_cls: 0.0453 detection_loss_reg: 0.4324 caption_loss_cls: 2.1817 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0103 2023/10/31 09:09:56 - mmengine - INFO - Iter(train) [331700/480000] base_lr: 4.5087e-05 lr: 1.3171e-05 eta: 3 days, 17:16:23 time: 2.3076 data_time: 0.1312 memory: 26559 grad_norm: 1.5412 loss: 1.2721 grounding_loss_reg: 2.7873 detection_loss_cls: 0.0453 detection_loss_reg: 0.4324 caption_loss_cls: 2.1822 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0103 2023/10/31 09:13:34 - mmengine - INFO - Iter(train) [331800/480000] base_lr: 4.5033e-05 lr: 1.3157e-05 eta: 3 days, 17:13:10 time: 2.3067 data_time: 0.1307 memory: 26559 grad_norm: 1.5344 loss: 1.2665 grounding_loss_reg: 2.7856 detection_loss_cls: 0.0453 detection_loss_reg: 0.4318 caption_loss_cls: 2.1816 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.7113 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:16:58 - mmengine - INFO - Iter(train) [331900/480000] base_lr: 4.4980e-05 lr: 1.3143e-05 eta: 3 days, 17:05:01 time: 2.3066 data_time: 0.1307 memory: 26559 grad_norm: 1.5355 loss: 1.2733 grounding_loss_reg: 2.7874 detection_loss_cls: 0.0453 detection_loss_reg: 0.4317 caption_loss_cls: 2.1822 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:20:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 09:20:01 - mmengine - INFO - Iter(train) [332000/480000] base_lr: 4.4926e-05 lr: 1.3129e-05 eta: 3 days, 16:49:31 time: 2.3019 data_time: 0.1308 memory: 26559 grad_norm: 1.5443 loss: 1.2798 grounding_loss_reg: 2.7871 detection_loss_cls: 0.0453 detection_loss_reg: 0.4311 caption_loss_cls: 2.1771 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7114 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:20:01 - mmengine - INFO - Saving checkpoint at 332000 iterations 2023/10/31 09:24:25 - mmengine - INFO - Iter(train) [332100/480000] base_lr: 4.4873e-05 lr: 1.3115e-05 eta: 3 days, 17:02:17 time: 2.2946 data_time: 0.1315 memory: 26559 grad_norm: 1.5482 loss: 1.2816 grounding_loss_reg: 2.7864 detection_loss_cls: 0.0453 detection_loss_reg: 0.4313 caption_loss_cls: 2.1742 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7122 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:27:38 - mmengine - INFO - Iter(train) [332200/480000] base_lr: 4.4820e-05 lr: 1.3101e-05 eta: 3 days, 16:50:33 time: 2.2888 data_time: 0.1314 memory: 25719 grad_norm: 1.5459 loss: 1.2814 grounding_loss_reg: 2.7850 detection_loss_cls: 0.0453 detection_loss_reg: 0.4310 caption_loss_cls: 2.1773 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7121 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:31:16 - mmengine - INFO - Iter(train) [332300/480000] base_lr: 4.4766e-05 lr: 1.3088e-05 eta: 3 days, 16:47:28 time: 2.2864 data_time: 0.1314 memory: 26559 grad_norm: 1.5457 loss: 1.2795 grounding_loss_reg: 2.7822 detection_loss_cls: 0.0453 detection_loss_reg: 0.4314 caption_loss_cls: 2.1765 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7114 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:35:00 - mmengine - INFO - Iter(train) [332400/480000] base_lr: 4.4713e-05 lr: 1.3074e-05 eta: 3 days, 16:46:39 time: 2.2956 data_time: 0.1318 memory: 25719 grad_norm: 1.5406 loss: 1.2825 grounding_loss_reg: 2.7825 detection_loss_cls: 0.0452 detection_loss_reg: 0.4308 caption_loss_cls: 2.1792 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:38:49 - mmengine - INFO - Iter(train) [332500/480000] base_lr: 4.4660e-05 lr: 1.3060e-05 eta: 3 days, 16:47:00 time: 2.2995 data_time: 0.1317 memory: 26559 grad_norm: 1.5401 loss: 1.2826 grounding_loss_reg: 2.7822 detection_loss_cls: 0.0453 detection_loss_reg: 0.4322 caption_loss_cls: 2.1772 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0102 2023/10/31 09:38:49 - mmengine - INFO - Saving checkpoint at 332500 iterations 2023/10/31 09:42:59 - mmengine - INFO - Iter(train) [332600/480000] base_lr: 4.4606e-05 lr: 1.3046e-05 eta: 3 days, 16:54:11 time: 2.2981 data_time: 0.1327 memory: 25719 grad_norm: 1.5383 loss: 1.2827 grounding_loss_reg: 2.7777 detection_loss_cls: 0.0453 detection_loss_reg: 0.4324 caption_loss_cls: 2.1821 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2757 instance_segmentation_loss_poly: 0.7111 semantic_segmentation_loss_cls: 0.0101 2023/10/31 09:46:24 - mmengine - INFO - Iter(train) [332700/480000] base_lr: 4.4553e-05 lr: 1.3032e-05 eta: 3 days, 16:46:29 time: 2.2906 data_time: 0.1328 memory: 26559 grad_norm: 1.5515 loss: 1.2917 grounding_loss_reg: 2.7755 detection_loss_cls: 0.0453 detection_loss_reg: 0.4324 caption_loss_cls: 2.1818 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0101 2023/10/31 09:50:06 - mmengine - INFO - Iter(train) [332800/480000] base_lr: 4.4500e-05 lr: 1.3018e-05 eta: 3 days, 16:44:40 time: 2.2863 data_time: 0.1329 memory: 26559 grad_norm: 1.5609 loss: 1.2986 grounding_loss_reg: 2.7760 detection_loss_cls: 0.0453 detection_loss_reg: 0.4326 caption_loss_cls: 2.1818 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.7101 semantic_segmentation_loss_cls: 0.0101 2023/10/31 09:53:43 - mmengine - INFO - Iter(train) [332900/480000] base_lr: 4.4447e-05 lr: 1.3005e-05 eta: 3 days, 16:40:52 time: 2.2874 data_time: 0.1330 memory: 26559 grad_norm: 1.5630 loss: 1.2966 grounding_loss_reg: 2.7774 detection_loss_cls: 0.0452 detection_loss_reg: 0.4328 caption_loss_cls: 2.1820 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7118 semantic_segmentation_loss_cls: 0.0101 2023/10/31 09:57:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 09:57:14 - mmengine - INFO - Iter(train) [333000/480000] base_lr: 4.4394e-05 lr: 1.2991e-05 eta: 3 days, 16:35:20 time: 2.2811 data_time: 0.1330 memory: 26559 grad_norm: 1.5690 loss: 1.3032 grounding_loss_reg: 2.7768 detection_loss_cls: 0.0452 detection_loss_reg: 0.4324 caption_loss_cls: 2.1872 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0101 2023/10/31 09:57:14 - mmengine - INFO - Saving checkpoint at 333000 iterations 2023/10/31 10:02:20 - mmengine - INFO - Iter(train) [333100/480000] base_lr: 4.4340e-05 lr: 1.2977e-05 eta: 3 days, 16:58:41 time: 2.2896 data_time: 0.1344 memory: 26559 grad_norm: 1.5647 loss: 1.3013 grounding_loss_reg: 2.7767 detection_loss_cls: 0.0452 detection_loss_reg: 0.4320 caption_loss_cls: 2.1857 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2745 instance_segmentation_loss_poly: 0.7090 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:05:58 - mmengine - INFO - Iter(train) [333200/480000] base_lr: 4.4287e-05 lr: 1.2963e-05 eta: 3 days, 16:54:59 time: 2.2865 data_time: 0.1365 memory: 25719 grad_norm: 1.5694 loss: 1.2997 grounding_loss_reg: 2.7746 detection_loss_cls: 0.0453 detection_loss_reg: 0.4330 caption_loss_cls: 2.1871 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.7105 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:09:40 - mmengine - INFO - Iter(train) [333300/480000] base_lr: 4.4234e-05 lr: 1.2950e-05 eta: 3 days, 16:52:37 time: 2.2870 data_time: 0.1366 memory: 26559 grad_norm: 1.5634 loss: 1.2952 grounding_loss_reg: 2.7756 detection_loss_cls: 0.0450 detection_loss_reg: 0.4320 caption_loss_cls: 2.1862 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.7090 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:13:03 - mmengine - INFO - Iter(train) [333400/480000] base_lr: 4.4181e-05 lr: 1.2936e-05 eta: 3 days, 16:44:36 time: 2.2825 data_time: 0.1366 memory: 25719 grad_norm: 1.5608 loss: 1.2851 grounding_loss_reg: 2.7738 detection_loss_cls: 0.0450 detection_loss_reg: 0.4321 caption_loss_cls: 2.1849 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2745 instance_segmentation_loss_poly: 0.7089 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:16:19 - mmengine - INFO - Iter(train) [333500/480000] base_lr: 4.4128e-05 lr: 1.2922e-05 eta: 3 days, 16:34:25 time: 2.2802 data_time: 0.1367 memory: 25719 grad_norm: 1.5601 loss: 1.2857 grounding_loss_reg: 2.7740 detection_loss_cls: 0.0450 detection_loss_reg: 0.4327 caption_loss_cls: 2.1843 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.7077 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:16:19 - mmengine - INFO - Saving checkpoint at 333500 iterations 2023/10/31 10:21:01 - mmengine - INFO - Iter(train) [333600/480000] base_lr: 4.4075e-05 lr: 1.2908e-05 eta: 3 days, 16:49:14 time: 2.2772 data_time: 0.1370 memory: 25719 grad_norm: 1.5534 loss: 1.2905 grounding_loss_reg: 2.7743 detection_loss_cls: 0.0446 detection_loss_reg: 0.4308 caption_loss_cls: 2.1880 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.7084 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:24:24 - mmengine - INFO - Iter(train) [333700/480000] base_lr: 4.4022e-05 lr: 1.2895e-05 eta: 3 days, 16:41:10 time: 2.2759 data_time: 0.1370 memory: 26559 grad_norm: 1.5556 loss: 1.2923 grounding_loss_reg: 2.7724 detection_loss_cls: 0.0446 detection_loss_reg: 0.4307 caption_loss_cls: 2.1867 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.7073 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:27:50 - mmengine - INFO - Iter(train) [333800/480000] base_lr: 4.3969e-05 lr: 1.2881e-05 eta: 3 days, 16:34:02 time: 2.2662 data_time: 0.1369 memory: 26559 grad_norm: 1.5714 loss: 1.3011 grounding_loss_reg: 2.7725 detection_loss_cls: 0.0444 detection_loss_reg: 0.4305 caption_loss_cls: 2.1883 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.7066 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:31:15 - mmengine - INFO - Iter(train) [333900/480000] base_lr: 4.3916e-05 lr: 1.2867e-05 eta: 3 days, 16:27:00 time: 2.2649 data_time: 0.1370 memory: 25719 grad_norm: 1.5594 loss: 1.2896 grounding_loss_reg: 2.7714 detection_loss_cls: 0.0444 detection_loss_reg: 0.4302 caption_loss_cls: 2.1875 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.7053 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:34:48 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 10:34:48 - mmengine - INFO - Iter(train) [334000/480000] base_lr: 4.3863e-05 lr: 1.2853e-05 eta: 3 days, 16:21:51 time: 2.2700 data_time: 0.1370 memory: 25719 grad_norm: 1.5450 loss: 1.2811 grounding_loss_reg: 2.7695 detection_loss_cls: 0.0444 detection_loss_reg: 0.4299 caption_loss_cls: 2.1865 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.7063 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:34:48 - mmengine - INFO - Saving checkpoint at 334000 iterations 2023/10/31 10:39:41 - mmengine - INFO - Iter(train) [334100/480000] base_lr: 4.3810e-05 lr: 1.2840e-05 eta: 3 days, 16:38:20 time: 2.2854 data_time: 0.1527 memory: 26559 grad_norm: 1.5439 loss: 1.2849 grounding_loss_reg: 2.7681 detection_loss_cls: 0.0444 detection_loss_reg: 0.4294 caption_loss_cls: 2.1886 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.7073 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:43:14 - mmengine - INFO - Iter(train) [334200/480000] base_lr: 4.3757e-05 lr: 1.2826e-05 eta: 3 days, 16:33:10 time: 2.2813 data_time: 0.1527 memory: 26559 grad_norm: 1.5518 loss: 1.2910 grounding_loss_reg: 2.7653 detection_loss_cls: 0.0445 detection_loss_reg: 0.4302 caption_loss_cls: 2.1908 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.7061 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:47:06 - mmengine - INFO - Iter(train) [334300/480000] base_lr: 4.3705e-05 lr: 1.2812e-05 eta: 3 days, 16:32:56 time: 2.2832 data_time: 0.1528 memory: 25719 grad_norm: 1.5605 loss: 1.3008 grounding_loss_reg: 2.7660 detection_loss_cls: 0.0446 detection_loss_reg: 0.4306 caption_loss_cls: 2.1898 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.7059 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:50:38 - mmengine - INFO - Iter(train) [334400/480000] base_lr: 4.3652e-05 lr: 1.2799e-05 eta: 3 days, 16:27:36 time: 2.2836 data_time: 0.1528 memory: 25719 grad_norm: 1.5608 loss: 1.3070 grounding_loss_reg: 2.7675 detection_loss_cls: 0.0445 detection_loss_reg: 0.4298 caption_loss_cls: 2.1948 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.7066 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:54:01 - mmengine - INFO - Iter(train) [334500/480000] base_lr: 4.3599e-05 lr: 1.2785e-05 eta: 3 days, 16:19:54 time: 2.2745 data_time: 0.1528 memory: 26559 grad_norm: 1.5742 loss: 1.3166 grounding_loss_reg: 2.7673 detection_loss_cls: 0.0445 detection_loss_reg: 0.4305 caption_loss_cls: 2.1934 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.7082 semantic_segmentation_loss_cls: 0.0101 2023/10/31 10:54:01 - mmengine - INFO - Saving checkpoint at 334500 iterations 2023/10/31 10:58:51 - mmengine - INFO - Iter(train) [334600/480000] base_lr: 4.3546e-05 lr: 1.2771e-05 eta: 3 days, 16:34:19 time: 2.2712 data_time: 0.1528 memory: 26559 grad_norm: 1.5831 loss: 1.3265 grounding_loss_reg: 2.7684 detection_loss_cls: 0.0445 detection_loss_reg: 0.4296 caption_loss_cls: 2.1958 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.7108 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:02:16 - mmengine - INFO - Iter(train) [334700/480000] base_lr: 4.3493e-05 lr: 1.2758e-05 eta: 3 days, 16:26:57 time: 2.2692 data_time: 0.1529 memory: 25719 grad_norm: 1.5830 loss: 1.3277 grounding_loss_reg: 2.7674 detection_loss_cls: 0.0446 detection_loss_reg: 0.4299 caption_loss_cls: 2.1952 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.7103 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:06:23 - mmengine - INFO - Iter(train) [334800/480000] base_lr: 4.3441e-05 lr: 1.2744e-05 eta: 3 days, 16:30:16 time: 2.2774 data_time: 0.1529 memory: 26559 grad_norm: 1.5795 loss: 1.3270 grounding_loss_reg: 2.7689 detection_loss_cls: 0.0445 detection_loss_reg: 0.4296 caption_loss_cls: 2.1991 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.7108 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:09:51 - mmengine - INFO - Iter(train) [334900/480000] base_lr: 4.3388e-05 lr: 1.2730e-05 eta: 3 days, 16:23:41 time: 2.2677 data_time: 0.1525 memory: 25719 grad_norm: 1.5811 loss: 1.3258 grounding_loss_reg: 2.7690 detection_loss_cls: 0.0441 detection_loss_reg: 0.4282 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:13:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 11:13:27 - mmengine - INFO - Iter(train) [335000/480000] base_lr: 4.3335e-05 lr: 1.2717e-05 eta: 3 days, 16:19:10 time: 2.2711 data_time: 0.1525 memory: 26559 grad_norm: 1.5816 loss: 1.3284 grounding_loss_reg: 2.7657 detection_loss_cls: 0.0440 detection_loss_reg: 0.4282 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2740 instance_segmentation_loss_poly: 0.7095 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:13:27 - mmengine - INFO - Saving checkpoint at 335000 iterations 2023/10/31 11:18:35 - mmengine - INFO - Iter(train) [335100/480000] base_lr: 4.3283e-05 lr: 1.2703e-05 eta: 3 days, 16:36:43 time: 2.2769 data_time: 0.1518 memory: 26559 grad_norm: 1.5812 loss: 1.3270 grounding_loss_reg: 2.7656 detection_loss_cls: 0.0441 detection_loss_reg: 0.4282 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:22:32 - mmengine - INFO - Iter(train) [335200/480000] base_lr: 4.3230e-05 lr: 1.2689e-05 eta: 3 days, 16:37:03 time: 2.2780 data_time: 0.1519 memory: 26559 grad_norm: 1.5819 loss: 1.3244 grounding_loss_reg: 2.7636 detection_loss_cls: 0.0443 detection_loss_reg: 0.4291 caption_loss_cls: 2.1993 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:26:05 - mmengine - INFO - Iter(train) [335300/480000] base_lr: 4.3177e-05 lr: 1.2676e-05 eta: 3 days, 16:31:44 time: 2.2720 data_time: 0.1519 memory: 26559 grad_norm: 1.5768 loss: 1.3223 grounding_loss_reg: 2.7634 detection_loss_cls: 0.0443 detection_loss_reg: 0.4291 caption_loss_cls: 2.1996 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:29:12 - mmengine - INFO - Iter(train) [335400/480000] base_lr: 4.3125e-05 lr: 1.2662e-05 eta: 3 days, 16:20:14 time: 2.2634 data_time: 0.1513 memory: 26559 grad_norm: 1.5846 loss: 1.3366 grounding_loss_reg: 2.7643 detection_loss_cls: 0.0443 detection_loss_reg: 0.4292 caption_loss_cls: 2.1985 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2748 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:32:52 - mmengine - INFO - Iter(train) [335500/480000] base_lr: 4.3072e-05 lr: 1.2648e-05 eta: 3 days, 16:16:43 time: 2.2636 data_time: 0.1514 memory: 25719 grad_norm: 1.5906 loss: 1.3403 grounding_loss_reg: 2.7623 detection_loss_cls: 0.0443 detection_loss_reg: 0.4291 caption_loss_cls: 2.2006 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.7106 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:32:52 - mmengine - INFO - Saving checkpoint at 335500 iterations 2023/10/31 11:37:14 - mmengine - INFO - Iter(train) [335600/480000] base_lr: 4.3020e-05 lr: 1.2635e-05 eta: 3 days, 16:22:28 time: 2.2607 data_time: 0.1519 memory: 25719 grad_norm: 1.5953 loss: 1.3397 grounding_loss_reg: 2.7631 detection_loss_cls: 0.0443 detection_loss_reg: 0.4293 caption_loss_cls: 2.1996 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.7093 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:40:37 - mmengine - INFO - Iter(train) [335700/480000] base_lr: 4.2967e-05 lr: 1.2621e-05 eta: 3 days, 16:15:02 time: 2.2596 data_time: 0.1519 memory: 26559 grad_norm: 1.5960 loss: 1.3367 grounding_loss_reg: 2.7625 detection_loss_cls: 0.0442 detection_loss_reg: 0.4286 caption_loss_cls: 2.1966 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7096 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:44:10 - mmengine - INFO - Iter(train) [335800/480000] base_lr: 4.2915e-05 lr: 1.2608e-05 eta: 3 days, 16:09:41 time: 2.2583 data_time: 0.1519 memory: 26559 grad_norm: 1.6066 loss: 1.3446 grounding_loss_reg: 2.7626 detection_loss_cls: 0.0437 detection_loss_reg: 0.4270 caption_loss_cls: 2.1993 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7103 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:47:55 - mmengine - INFO - Iter(train) [335900/480000] base_lr: 4.2862e-05 lr: 1.2594e-05 eta: 3 days, 16:07:00 time: 2.2634 data_time: 0.1519 memory: 25719 grad_norm: 1.6011 loss: 1.3353 grounding_loss_reg: 2.7630 detection_loss_cls: 0.0436 detection_loss_reg: 0.4256 caption_loss_cls: 2.1964 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7103 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:51:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 11:51:13 - mmengine - INFO - Iter(train) [336000/480000] base_lr: 4.2810e-05 lr: 1.2580e-05 eta: 3 days, 15:58:31 time: 2.2672 data_time: 0.1520 memory: 26559 grad_norm: 1.5928 loss: 1.3351 grounding_loss_reg: 2.7626 detection_loss_cls: 0.0436 detection_loss_reg: 0.4247 caption_loss_cls: 2.1985 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:51:13 - mmengine - INFO - Saving checkpoint at 336000 iterations 2023/10/31 11:55:48 - mmengine - INFO - Iter(train) [336100/480000] base_lr: 4.2757e-05 lr: 1.2567e-05 eta: 3 days, 16:06:46 time: 2.2702 data_time: 0.1520 memory: 25719 grad_norm: 1.5859 loss: 1.3323 grounding_loss_reg: 2.7631 detection_loss_cls: 0.0436 detection_loss_reg: 0.4243 caption_loss_cls: 2.1993 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.7118 semantic_segmentation_loss_cls: 0.0101 2023/10/31 11:59:19 - mmengine - INFO - Iter(train) [336200/480000] base_lr: 4.2705e-05 lr: 1.2553e-05 eta: 3 days, 16:01:02 time: 2.2747 data_time: 0.1521 memory: 26559 grad_norm: 1.5901 loss: 1.3302 grounding_loss_reg: 2.7613 detection_loss_cls: 0.0434 detection_loss_reg: 0.4231 caption_loss_cls: 2.2005 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:02:40 - mmengine - INFO - Iter(train) [336300/480000] base_lr: 4.2653e-05 lr: 1.2540e-05 eta: 3 days, 15:53:22 time: 2.2705 data_time: 0.1520 memory: 25719 grad_norm: 1.5913 loss: 1.3324 grounding_loss_reg: 2.7617 detection_loss_cls: 0.0433 detection_loss_reg: 0.4222 caption_loss_cls: 2.2018 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.7093 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:06:11 - mmengine - INFO - Iter(train) [336400/480000] base_lr: 4.2600e-05 lr: 1.2526e-05 eta: 3 days, 15:47:43 time: 2.2670 data_time: 0.1519 memory: 25719 grad_norm: 1.5898 loss: 1.3273 grounding_loss_reg: 2.7603 detection_loss_cls: 0.0432 detection_loss_reg: 0.4209 caption_loss_cls: 2.1974 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:09:55 - mmengine - INFO - Iter(train) [336500/480000] base_lr: 4.2548e-05 lr: 1.2512e-05 eta: 3 days, 15:44:53 time: 2.2659 data_time: 0.1519 memory: 25719 grad_norm: 1.5804 loss: 1.3174 grounding_loss_reg: 2.7588 detection_loss_cls: 0.0432 detection_loss_reg: 0.4206 caption_loss_cls: 2.1959 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.7117 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:09:55 - mmengine - INFO - Saving checkpoint at 336500 iterations 2023/10/31 12:14:31 - mmengine - INFO - Iter(train) [336600/480000] base_lr: 4.2496e-05 lr: 1.2499e-05 eta: 3 days, 15:52:35 time: 2.2722 data_time: 0.1519 memory: 26559 grad_norm: 1.5879 loss: 1.3193 grounding_loss_reg: 2.7558 detection_loss_cls: 0.0432 detection_loss_reg: 0.4207 caption_loss_cls: 2.1994 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:17:55 - mmengine - INFO - Iter(train) [336700/480000] base_lr: 4.2443e-05 lr: 1.2485e-05 eta: 3 days, 15:45:35 time: 2.2722 data_time: 0.1518 memory: 26559 grad_norm: 1.5820 loss: 1.3145 grounding_loss_reg: 2.7550 detection_loss_cls: 0.0432 detection_loss_reg: 0.4208 caption_loss_cls: 2.1990 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2752 instance_segmentation_loss_poly: 0.7123 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:21:53 - mmengine - INFO - Iter(train) [336800/480000] base_lr: 4.2391e-05 lr: 1.2472e-05 eta: 3 days, 15:45:22 time: 2.2759 data_time: 0.1518 memory: 26559 grad_norm: 1.5703 loss: 1.3058 grounding_loss_reg: 2.7559 detection_loss_cls: 0.0433 detection_loss_reg: 0.4206 caption_loss_cls: 2.1956 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:25:18 - mmengine - INFO - Iter(train) [336900/480000] base_lr: 4.2339e-05 lr: 1.2458e-05 eta: 3 days, 15:38:29 time: 2.2730 data_time: 0.1518 memory: 25719 grad_norm: 1.5695 loss: 1.3062 grounding_loss_reg: 2.7574 detection_loss_cls: 0.0432 detection_loss_reg: 0.4200 caption_loss_cls: 2.1975 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.7114 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:28:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 12:28:28 - mmengine - INFO - Iter(train) [337000/480000] base_lr: 4.2287e-05 lr: 1.2445e-05 eta: 3 days, 15:28:55 time: 2.2680 data_time: 0.1518 memory: 26559 grad_norm: 1.5809 loss: 1.3034 grounding_loss_reg: 2.7574 detection_loss_cls: 0.0432 detection_loss_reg: 0.4203 caption_loss_cls: 2.1950 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2750 instance_segmentation_loss_poly: 0.7119 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:28:28 - mmengine - INFO - Saving checkpoint at 337000 iterations 2023/10/31 12:33:18 - mmengine - INFO - Iter(train) [337100/480000] base_lr: 4.2235e-05 lr: 1.2431e-05 eta: 3 days, 15:38:56 time: 2.2639 data_time: 0.1516 memory: 26559 grad_norm: 1.5787 loss: 1.3023 grounding_loss_reg: 2.7563 detection_loss_cls: 0.0431 detection_loss_reg: 0.4204 caption_loss_cls: 2.1948 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2752 instance_segmentation_loss_poly: 0.7123 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:36:30 - mmengine - INFO - Iter(train) [337200/480000] base_lr: 4.2183e-05 lr: 1.2418e-05 eta: 3 days, 15:29:35 time: 2.2574 data_time: 0.1493 memory: 25719 grad_norm: 1.5783 loss: 1.3011 grounding_loss_reg: 2.7535 detection_loss_cls: 0.0430 detection_loss_reg: 0.4195 caption_loss_cls: 2.1973 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.7108 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:40:24 - mmengine - INFO - Iter(train) [337300/480000] base_lr: 4.2130e-05 lr: 1.2404e-05 eta: 3 days, 15:28:30 time: 2.2603 data_time: 0.1494 memory: 26559 grad_norm: 1.5824 loss: 1.3023 grounding_loss_reg: 2.7550 detection_loss_cls: 0.0429 detection_loss_reg: 0.4191 caption_loss_cls: 2.1972 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2745 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:44:07 - mmengine - INFO - Iter(train) [337400/480000] base_lr: 4.2078e-05 lr: 1.2391e-05 eta: 3 days, 15:25:20 time: 2.2653 data_time: 0.1494 memory: 25719 grad_norm: 1.5781 loss: 1.3062 grounding_loss_reg: 2.7562 detection_loss_cls: 0.0429 detection_loss_reg: 0.4190 caption_loss_cls: 2.1996 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2748 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:47:42 - mmengine - INFO - Iter(train) [337500/480000] base_lr: 4.2026e-05 lr: 1.2377e-05 eta: 3 days, 15:20:33 time: 2.2703 data_time: 0.1495 memory: 25719 grad_norm: 1.5752 loss: 1.3091 grounding_loss_reg: 2.7566 detection_loss_cls: 0.0427 detection_loss_reg: 0.4179 caption_loss_cls: 2.1989 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.7121 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:47:42 - mmengine - INFO - Saving checkpoint at 337500 iterations 2023/10/31 12:52:24 - mmengine - INFO - Iter(train) [337600/480000] base_lr: 4.1974e-05 lr: 1.2364e-05 eta: 3 days, 15:28:15 time: 2.2699 data_time: 0.1493 memory: 25719 grad_norm: 1.5850 loss: 1.3023 grounding_loss_reg: 2.7526 detection_loss_cls: 0.0427 detection_loss_reg: 0.4177 caption_loss_cls: 2.1959 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.7128 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:55:48 - mmengine - INFO - Iter(train) [337700/480000] base_lr: 4.1922e-05 lr: 1.2350e-05 eta: 3 days, 15:21:22 time: 2.2702 data_time: 0.1495 memory: 26559 grad_norm: 1.5872 loss: 1.3055 grounding_loss_reg: 2.7531 detection_loss_cls: 0.0428 detection_loss_reg: 0.4182 caption_loss_cls: 2.1962 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7142 semantic_segmentation_loss_cls: 0.0101 2023/10/31 12:59:40 - mmengine - INFO - Iter(train) [337800/480000] base_lr: 4.1870e-05 lr: 1.2337e-05 eta: 3 days, 15:19:50 time: 2.2770 data_time: 0.1495 memory: 26559 grad_norm: 1.5654 loss: 1.2923 grounding_loss_reg: 2.7536 detection_loss_cls: 0.0429 detection_loss_reg: 0.4189 caption_loss_cls: 2.1965 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2757 instance_segmentation_loss_poly: 0.7138 semantic_segmentation_loss_cls: 0.0101 2023/10/31 13:03:28 - mmengine - INFO - Iter(train) [337900/480000] base_lr: 4.1818e-05 lr: 1.2323e-05 eta: 3 days, 15:17:15 time: 2.2823 data_time: 0.1495 memory: 26559 grad_norm: 1.5621 loss: 1.2974 grounding_loss_reg: 2.7533 detection_loss_cls: 0.0425 detection_loss_reg: 0.4178 caption_loss_cls: 2.1988 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7157 semantic_segmentation_loss_cls: 0.0101 2023/10/31 13:06:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 13:06:31 - mmengine - INFO - Iter(train) [338000/480000] base_lr: 4.1766e-05 lr: 1.2310e-05 eta: 3 days, 15:06:40 time: 2.2751 data_time: 0.1494 memory: 26559 grad_norm: 1.5636 loss: 1.2960 grounding_loss_reg: 2.7511 detection_loss_cls: 0.0425 detection_loss_reg: 0.4176 caption_loss_cls: 2.1989 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2755 instance_segmentation_loss_poly: 0.7142 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:06:31 - mmengine - INFO - Saving checkpoint at 338000 iterations 2023/10/31 13:11:31 - mmengine - INFO - Iter(train) [338100/480000] base_lr: 4.1714e-05 lr: 1.2296e-05 eta: 3 days, 15:17:19 time: 2.2768 data_time: 0.1495 memory: 26559 grad_norm: 1.5600 loss: 1.2934 grounding_loss_reg: 2.7492 detection_loss_cls: 0.0425 detection_loss_reg: 0.4182 caption_loss_cls: 2.1963 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7142 semantic_segmentation_loss_cls: 0.0101 2023/10/31 13:14:59 - mmengine - INFO - Iter(train) [338200/480000] base_lr: 4.1663e-05 lr: 1.2283e-05 eta: 3 days, 15:11:09 time: 2.2755 data_time: 0.1494 memory: 25719 grad_norm: 1.5599 loss: 1.2909 grounding_loss_reg: 2.7528 detection_loss_cls: 0.0423 detection_loss_reg: 0.4171 caption_loss_cls: 2.1945 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0101 2023/10/31 13:18:14 - mmengine - INFO - Iter(train) [338300/480000] base_lr: 4.1611e-05 lr: 1.2269e-05 eta: 3 days, 15:02:52 time: 2.2664 data_time: 0.1494 memory: 26559 grad_norm: 1.5598 loss: 1.2951 grounding_loss_reg: 2.7528 detection_loss_cls: 0.0423 detection_loss_reg: 0.4174 caption_loss_cls: 2.1940 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7163 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:22:14 - mmengine - INFO - Iter(train) [338400/480000] base_lr: 4.1559e-05 lr: 1.2256e-05 eta: 3 days, 15:02:30 time: 2.2734 data_time: 0.1494 memory: 26559 grad_norm: 1.5569 loss: 1.2872 grounding_loss_reg: 2.7526 detection_loss_cls: 0.0423 detection_loss_reg: 0.4172 caption_loss_cls: 2.1919 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7148 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:25:48 - mmengine - INFO - Iter(train) [338500/480000] base_lr: 4.1507e-05 lr: 1.2243e-05 eta: 3 days, 14:57:32 time: 2.2762 data_time: 0.1494 memory: 26559 grad_norm: 1.5543 loss: 1.2810 grounding_loss_reg: 2.7507 detection_loss_cls: 0.0422 detection_loss_reg: 0.4168 caption_loss_cls: 2.1898 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7155 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:25:48 - mmengine - INFO - Saving checkpoint at 338500 iterations 2023/10/31 13:30:20 - mmengine - INFO - Iter(train) [338600/480000] base_lr: 4.1455e-05 lr: 1.2229e-05 eta: 3 days, 15:02:38 time: 2.2716 data_time: 0.1489 memory: 25719 grad_norm: 1.5531 loss: 1.2753 grounding_loss_reg: 2.7490 detection_loss_cls: 0.0422 detection_loss_reg: 0.4169 caption_loss_cls: 2.1911 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:33:57 - mmengine - INFO - Iter(train) [338700/480000] base_lr: 4.1404e-05 lr: 1.2216e-05 eta: 3 days, 14:58:01 time: 2.2746 data_time: 0.1489 memory: 26559 grad_norm: 1.5517 loss: 1.2798 grounding_loss_reg: 2.7465 detection_loss_cls: 0.0422 detection_loss_reg: 0.4170 caption_loss_cls: 2.1919 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2771 instance_segmentation_loss_poly: 0.7158 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:37:45 - mmengine - INFO - Iter(train) [338800/480000] base_lr: 4.1352e-05 lr: 1.2202e-05 eta: 3 days, 14:55:24 time: 2.2697 data_time: 0.1488 memory: 25719 grad_norm: 1.5498 loss: 1.2772 grounding_loss_reg: 2.7463 detection_loss_cls: 0.0421 detection_loss_reg: 0.4171 caption_loss_cls: 2.1960 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:41:39 - mmengine - INFO - Iter(train) [338900/480000] base_lr: 4.1300e-05 lr: 1.2189e-05 eta: 3 days, 14:53:51 time: 2.2764 data_time: 0.1489 memory: 25719 grad_norm: 1.5524 loss: 1.2790 grounding_loss_reg: 2.7454 detection_loss_cls: 0.0421 detection_loss_reg: 0.4170 caption_loss_cls: 2.1971 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7139 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:45:21 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 13:45:21 - mmengine - INFO - Iter(train) [339000/480000] base_lr: 4.1248e-05 lr: 1.2176e-05 eta: 3 days, 14:50:11 time: 2.2779 data_time: 0.1489 memory: 26559 grad_norm: 1.5482 loss: 1.2751 grounding_loss_reg: 2.7460 detection_loss_cls: 0.0421 detection_loss_reg: 0.4170 caption_loss_cls: 2.1987 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7144 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:45:21 - mmengine - INFO - Saving checkpoint at 339000 iterations 2023/10/31 13:50:01 - mmengine - INFO - Iter(train) [339100/480000] base_lr: 4.1197e-05 lr: 1.2162e-05 eta: 3 days, 14:56:16 time: 2.2711 data_time: 0.1495 memory: 26559 grad_norm: 1.5496 loss: 1.2769 grounding_loss_reg: 2.7449 detection_loss_cls: 0.0421 detection_loss_reg: 0.4172 caption_loss_cls: 2.1973 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7151 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:53:51 - mmengine - INFO - Iter(train) [339200/480000] base_lr: 4.1145e-05 lr: 1.2149e-05 eta: 3 days, 14:53:46 time: 2.2691 data_time: 0.1495 memory: 25719 grad_norm: 1.5564 loss: 1.2831 grounding_loss_reg: 2.7437 detection_loss_cls: 0.0420 detection_loss_reg: 0.4171 caption_loss_cls: 2.2018 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0102 2023/10/31 13:57:26 - mmengine - INFO - Iter(train) [339300/480000] base_lr: 4.1094e-05 lr: 1.2135e-05 eta: 3 days, 14:48:56 time: 2.2697 data_time: 0.1494 memory: 25719 grad_norm: 1.5590 loss: 1.2830 grounding_loss_reg: 2.7424 detection_loss_cls: 0.0420 detection_loss_reg: 0.4181 caption_loss_cls: 2.2013 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7133 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:01:04 - mmengine - INFO - Iter(train) [339400/480000] base_lr: 4.1042e-05 lr: 1.2122e-05 eta: 3 days, 14:44:25 time: 2.2773 data_time: 0.1494 memory: 25719 grad_norm: 1.5428 loss: 1.2651 grounding_loss_reg: 2.7411 detection_loss_cls: 0.0421 detection_loss_reg: 0.4179 caption_loss_cls: 2.2008 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7132 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:04:57 - mmengine - INFO - Iter(train) [339500/480000] base_lr: 4.0990e-05 lr: 1.2109e-05 eta: 3 days, 14:42:34 time: 2.2806 data_time: 0.1494 memory: 26559 grad_norm: 1.5392 loss: 1.2622 grounding_loss_reg: 2.7407 detection_loss_cls: 0.0422 detection_loss_reg: 0.4182 caption_loss_cls: 2.2008 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7153 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:04:57 - mmengine - INFO - Saving checkpoint at 339500 iterations 2023/10/31 14:09:53 - mmengine - INFO - Iter(train) [339600/480000] base_lr: 4.0939e-05 lr: 1.2095e-05 eta: 3 days, 14:50:44 time: 2.2893 data_time: 0.1493 memory: 25719 grad_norm: 1.5309 loss: 1.2593 grounding_loss_reg: 2.7418 detection_loss_cls: 0.0421 detection_loss_reg: 0.4176 caption_loss_cls: 2.2007 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:13:28 - mmengine - INFO - Iter(train) [339700/480000] base_lr: 4.0887e-05 lr: 1.2082e-05 eta: 3 days, 14:45:39 time: 2.2919 data_time: 0.1493 memory: 25719 grad_norm: 1.5371 loss: 1.2635 grounding_loss_reg: 2.7400 detection_loss_cls: 0.0421 detection_loss_reg: 0.4168 caption_loss_cls: 2.2009 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7160 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:17:02 - mmengine - INFO - Iter(train) [339800/480000] base_lr: 4.0836e-05 lr: 1.2069e-05 eta: 3 days, 14:40:33 time: 2.2922 data_time: 0.1494 memory: 26559 grad_norm: 1.5300 loss: 1.2645 grounding_loss_reg: 2.7402 detection_loss_cls: 0.0421 detection_loss_reg: 0.4169 caption_loss_cls: 2.2066 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2777 instance_segmentation_loss_poly: 0.7166 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:20:48 - mmengine - INFO - Iter(train) [339900/480000] base_lr: 4.0785e-05 lr: 1.2055e-05 eta: 3 days, 14:37:23 time: 2.2925 data_time: 0.1494 memory: 26559 grad_norm: 1.5331 loss: 1.2735 grounding_loss_reg: 2.7391 detection_loss_cls: 0.0420 detection_loss_reg: 0.4165 caption_loss_cls: 2.2093 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7160 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:24:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 14:24:27 - mmengine - INFO - Iter(train) [340000/480000] base_lr: 4.0733e-05 lr: 1.2042e-05 eta: 3 days, 14:33:15 time: 2.2980 data_time: 0.1495 memory: 26559 grad_norm: 1.5377 loss: 1.2722 grounding_loss_reg: 2.7380 detection_loss_cls: 0.0420 detection_loss_reg: 0.4173 caption_loss_cls: 2.2075 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2778 instance_segmentation_loss_poly: 0.7168 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:24:27 - mmengine - INFO - Saving checkpoint at 340000 iterations 2023/10/31 14:30:20 - mmengine - INFO - Evaluating bbox... 2023/10/31 14:31:25 - mmengine - INFO - bbox_mAP_copypaste: 0.522 0.700 0.573 0.373 0.568 0.664 2023/10/31 14:31:25 - mmengine - INFO - Evaluating segm... 2023/10/31 14:32:38 - mmengine - INFO - segm_mAP_copypaste: 0.353 0.614 0.353 0.216 0.397 0.534 2023/10/31 14:34:01 - mmengine - INFO - Evaluating bbox... 2023/10/31 14:35:07 - mmengine - INFO - bbox_mAP_copypaste: 0.523 0.700 0.574 0.366 0.568 0.666 2023/10/31 14:38:33 - mmengine - INFO - per class results: 2023/10/31 14:38:33 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.22 | 89.24 | | building | 82.13 | 92.97 | | sky | 93.07 | 97.7 | | floor | 82.18 | 89.58 | | tree | 73.23 | 85.69 | | ceiling | 84.58 | 94.36 | | road | 85.38 | 89.42 | | bed | 88.74 | 95.7 | | windowpane | 63.33 | 78.8 | | grass | 67.65 | 78.01 | | cabinet | 62.48 | 74.15 | | sidewalk | 68.11 | 82.32 | | person | 81.17 | 91.04 | | earth | 40.63 | 50.35 | | door | 53.8 | 64.39 | | table | 62.68 | 74.27 | | mountain | 60.48 | 75.85 | | plant | 52.89 | 63.64 | | curtain | 74.16 | 86.91 | | chair | 59.01 | 72.95 | | car | 82.98 | 89.54 | | water | 56.46 | 71.85 | | painting | 72.89 | 84.85 | | sofa | 72.18 | 83.1 | | shelf | 44.61 | 65.8 | | house | 42.25 | 56.81 | | sea | 66.98 | 88.62 | | mirror | 69.14 | 77.07 | | rug | 71.09 | 82.54 | | field | 29.41 | 57.0 | | armchair | 50.32 | 72.05 | | seat | 65.14 | 86.51 | | fence | 43.72 | 58.7 | | desk | 51.03 | 77.08 | | rock | 45.04 | 62.87 | | wardrobe | 52.07 | 61.96 | | lamp | 60.97 | 77.47 | | bathtub | 85.44 | 92.77 | | railing | 32.58 | 41.49 | | cushion | 58.43 | 70.84 | | base | 28.0 | 40.61 | | box | 31.47 | 39.04 | | column | 47.21 | 66.22 | | signboard | 35.05 | 46.18 | | chest of drawers | 38.59 | 67.87 | | counter | 29.12 | 43.35 | | sand | 60.24 | 83.84 | | sink | 70.78 | 82.27 | | skyscraper | 53.32 | 60.8 | | fireplace | 70.13 | 86.91 | | refrigerator | 75.79 | 92.21 | | grandstand | 42.4 | 75.49 | | path | 28.43 | 45.46 | | stairs | 31.03 | 37.24 | | runway | 74.08 | 93.91 | | case | 41.8 | 50.67 | | pool table | 87.9 | 94.73 | | pillow | 48.37 | 55.7 | | screen door | 69.83 | 82.74 | | stairway | 30.76 | 42.53 | | river | 18.58 | 31.89 | | bridge | 48.71 | 63.19 | | bookcase | 35.94 | 55.11 | | blind | 39.35 | 43.4 | | coffee table | 60.04 | 78.08 | | toilet | 86.39 | 90.32 | | flower | 31.4 | 41.79 | | book | 44.32 | 62.38 | | hill | 7.58 | 22.84 | | bench | 56.42 | 67.91 | | countertop | 58.36 | 80.09 | | stove | 74.75 | 81.51 | | palm | 49.65 | 69.35 | | kitchen island | 43.43 | 78.89 | | computer | 69.17 | 79.97 | | swivel chair | 47.35 | 70.93 | | boat | 67.82 | 82.16 | | bar | 45.71 | 60.87 | | arcade machine | 63.1 | 69.96 | | hovel | 49.45 | 70.76 | | bus | 92.25 | 95.91 | | towel | 59.01 | 71.64 | | light | 42.68 | 48.58 | | truck | 38.17 | 59.85 | | tower | 32.73 | 51.91 | | chandelier | 62.79 | 77.82 | | awning | 26.93 | 31.5 | | streetlight | 31.24 | 35.87 | | booth | 31.89 | 47.83 | | television receiver | 68.85 | 76.38 | | airplane | 67.8 | 78.79 | | dirt track | 3.65 | 17.89 | | apparel | 38.52 | 53.63 | | pole | 29.47 | 45.71 | | land | 1.83 | 2.33 | | bannister | 13.99 | 18.91 | | escalator | 23.24 | 26.9 | | ottoman | 46.93 | 60.55 | | bottle | 30.64 | 40.97 | | buffet | 44.62 | 52.26 | | poster | 33.52 | 40.59 | | stage | 6.14 | 12.0 | | van | 43.22 | 54.7 | | ship | 81.55 | 85.93 | | fountain | 20.21 | 20.7 | | conveyer belt | 69.87 | 87.79 | | canopy | 35.01 | 38.98 | | washer | 71.65 | 73.07 | | plaything | 23.95 | 31.12 | | swimming pool | 73.9 | 92.91 | | stool | 47.48 | 62.24 | | barrel | 45.92 | 64.93 | | basket | 32.04 | 47.14 | | waterfall | 50.61 | 60.92 | | tent | 88.73 | 96.96 | | bag | 21.45 | 24.76 | | minibike | 71.85 | 88.67 | | cradle | 76.57 | 93.21 | | oven | 46.28 | 62.46 | | ball | 53.19 | 71.17 | | food | 45.71 | 53.11 | | step | 12.77 | 19.38 | | tank | 51.43 | 56.69 | | trade name | 9.23 | 9.41 | | microwave | 88.38 | 92.95 | | pot | 53.97 | 63.52 | | animal | 61.88 | 65.23 | | bicycle | 60.04 | 77.95 | | lake | 34.45 | 37.54 | | dishwasher | 59.49 | 79.78 | | screen | 58.79 | 68.37 | | blanket | 17.21 | 19.55 | | sculpture | 66.92 | 78.64 | | hood | 67.91 | 84.15 | | sconce | 37.98 | 45.95 | | vase | 40.29 | 67.76 | | traffic light | 34.99 | 45.86 | | tray | 12.69 | 23.84 | | ashcan | 44.42 | 58.67 | | fan | 54.84 | 64.14 | | pier | 38.11 | 47.26 | | crt screen | 12.91 | 49.24 | | plate | 56.12 | 69.94 | | monitor | 8.46 | 10.35 | | bulletin board | 47.78 | 68.57 | | shower | 0.25 | 0.26 | | radiator | 57.1 | 66.94 | | glass | 18.37 | 20.26 | | clock | 26.81 | 30.7 | | flag | 65.21 | 76.25 | +---------------------+-------+-------+ 2023/10/31 14:38:56 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:27 time: 1.1845 data_time: 0.0318 memory: 27834 2023/10/31 14:39:17 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5230 coco/bbox_mAP_50: 0.7000 coco/bbox_mAP_75: 0.5740 coco/bbox_mAP_s: 0.3660 coco/bbox_mAP_m: 0.5680 coco/bbox_mAP_l: 0.6660 coco/segm_mAP: 0.3530 coco/segm_mAP_50: 0.6140 coco/segm_mAP_75: 0.3530 coco/segm_mAP_s: 0.2160 coco/segm_mAP_m: 0.3970 coco/segm_mAP_l: 0.5340 Bleu_1: 0.7639 Bleu_2: 0.5953 Bleu_3: 0.4512 Bleu_4: 0.3395 METEOR: 0.2796 ROUGE_L: 0.5622 CIDEr: 1.1412 SPICE: 0.2101 aAcc: 83.5900 mIoU: 50.5600 mAcc: 62.8900 visual-grounding/miou: 0.7959 visual-grounding/acc: 0.8656 data_time: 0.0017 time: 0.2303 2023/10/31 14:43:03 - mmengine - INFO - Iter(train) [340100/480000] base_lr: 4.0682e-05 lr: 1.2029e-05 eta: 3 days, 14:30:50 time: 2.2870 data_time: 0.1339 memory: 25719 grad_norm: 1.5369 loss: 1.2687 grounding_loss_reg: 2.7386 detection_loss_cls: 0.0420 detection_loss_reg: 0.4166 caption_loss_cls: 2.2079 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.7164 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:46:43 - mmengine - INFO - Iter(train) [340200/480000] base_lr: 4.0630e-05 lr: 1.2015e-05 eta: 3 days, 14:26:44 time: 2.2893 data_time: 0.1338 memory: 26559 grad_norm: 1.5274 loss: 1.2638 grounding_loss_reg: 2.7353 detection_loss_cls: 0.0421 detection_loss_reg: 0.4163 caption_loss_cls: 2.2113 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2778 instance_segmentation_loss_poly: 0.7171 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:50:06 - mmengine - INFO - Iter(train) [340300/480000] base_lr: 4.0579e-05 lr: 1.2002e-05 eta: 3 days, 14:20:04 time: 2.2897 data_time: 0.1338 memory: 25719 grad_norm: 1.5310 loss: 1.2674 grounding_loss_reg: 2.7327 detection_loss_cls: 0.0420 detection_loss_reg: 0.4161 caption_loss_cls: 2.2106 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2776 instance_segmentation_loss_poly: 0.7164 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:53:56 - mmengine - INFO - Iter(train) [340400/480000] base_lr: 4.0528e-05 lr: 1.1989e-05 eta: 3 days, 14:17:22 time: 2.2943 data_time: 0.1339 memory: 25719 grad_norm: 1.5296 loss: 1.2637 grounding_loss_reg: 2.7309 detection_loss_cls: 0.0419 detection_loss_reg: 0.4158 caption_loss_cls: 2.2077 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7165 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:57:40 - mmengine - INFO - Iter(train) [340500/480000] base_lr: 4.0476e-05 lr: 1.1975e-05 eta: 3 days, 14:13:56 time: 2.2944 data_time: 0.1338 memory: 26559 grad_norm: 1.5400 loss: 1.2726 grounding_loss_reg: 2.7294 detection_loss_cls: 0.0419 detection_loss_reg: 0.4162 caption_loss_cls: 2.2080 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2772 instance_segmentation_loss_poly: 0.7156 semantic_segmentation_loss_cls: 0.0102 2023/10/31 14:57:40 - mmengine - INFO - Saving checkpoint at 340500 iterations 2023/10/31 15:02:34 - mmengine - INFO - Iter(train) [340600/480000] base_lr: 4.0425e-05 lr: 1.1962e-05 eta: 3 days, 14:20:54 time: 2.2991 data_time: 0.1339 memory: 26559 grad_norm: 1.5259 loss: 1.2653 grounding_loss_reg: 2.7261 detection_loss_cls: 0.0418 detection_loss_reg: 0.4162 caption_loss_cls: 2.2075 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.7177 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:05:51 - mmengine - INFO - Iter(train) [340700/480000] base_lr: 4.0374e-05 lr: 1.1949e-05 eta: 3 days, 14:13:19 time: 2.2972 data_time: 0.1339 memory: 26559 grad_norm: 1.5310 loss: 1.2694 grounding_loss_reg: 2.7264 detection_loss_cls: 0.0419 detection_loss_reg: 0.4168 caption_loss_cls: 2.2074 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2783 instance_segmentation_loss_poly: 0.7178 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:09:32 - mmengine - INFO - Iter(train) [340800/480000] base_lr: 4.0323e-05 lr: 1.1936e-05 eta: 3 days, 14:09:18 time: 2.2930 data_time: 0.1338 memory: 26559 grad_norm: 1.5340 loss: 1.2731 grounding_loss_reg: 2.7258 detection_loss_cls: 0.0418 detection_loss_reg: 0.4170 caption_loss_cls: 2.2092 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.7159 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:12:54 - mmengine - INFO - Iter(train) [340900/480000] base_lr: 4.0272e-05 lr: 1.1922e-05 eta: 3 days, 14:02:34 time: 2.2924 data_time: 0.1338 memory: 26559 grad_norm: 1.5358 loss: 1.2683 grounding_loss_reg: 2.7237 detection_loss_cls: 0.0419 detection_loss_reg: 0.4173 caption_loss_cls: 2.2083 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7154 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:16:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 15:16:39 - mmengine - INFO - Iter(train) [341000/480000] base_lr: 4.0220e-05 lr: 1.1909e-05 eta: 3 days, 13:59:13 time: 2.3010 data_time: 0.1338 memory: 26559 grad_norm: 1.5219 loss: 1.2652 grounding_loss_reg: 2.7245 detection_loss_cls: 0.0420 detection_loss_reg: 0.4173 caption_loss_cls: 2.2093 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7135 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:16:39 - mmengine - INFO - Saving checkpoint at 341000 iterations 2023/10/31 15:21:19 - mmengine - INFO - Iter(train) [341100/480000] base_lr: 4.0169e-05 lr: 1.1896e-05 eta: 3 days, 14:03:38 time: 2.2983 data_time: 0.1336 memory: 25719 grad_norm: 1.5295 loss: 1.2725 grounding_loss_reg: 2.7250 detection_loss_cls: 0.0421 detection_loss_reg: 0.4167 caption_loss_cls: 2.2092 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7146 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:24:52 - mmengine - INFO - Iter(train) [341200/480000] base_lr: 4.0118e-05 lr: 1.1882e-05 eta: 3 days, 13:58:27 time: 2.3036 data_time: 0.1336 memory: 26559 grad_norm: 1.5330 loss: 1.2755 grounding_loss_reg: 2.7251 detection_loss_cls: 0.0422 detection_loss_reg: 0.4167 caption_loss_cls: 2.2077 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7149 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:28:01 - mmengine - INFO - Iter(train) [341300/480000] base_lr: 4.0067e-05 lr: 1.1869e-05 eta: 3 days, 13:49:58 time: 2.2925 data_time: 0.1335 memory: 26559 grad_norm: 1.5347 loss: 1.2772 grounding_loss_reg: 2.7254 detection_loss_cls: 0.0423 detection_loss_reg: 0.4179 caption_loss_cls: 2.2069 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7156 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:31:37 - mmengine - INFO - Iter(train) [341400/480000] base_lr: 4.0016e-05 lr: 1.1856e-05 eta: 3 days, 13:45:17 time: 2.2906 data_time: 0.1335 memory: 25719 grad_norm: 1.5487 loss: 1.2813 grounding_loss_reg: 2.7244 detection_loss_cls: 0.0422 detection_loss_reg: 0.4174 caption_loss_cls: 2.2072 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2771 instance_segmentation_loss_poly: 0.7144 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:35:27 - mmengine - INFO - Iter(train) [341500/480000] base_lr: 3.9965e-05 lr: 1.1843e-05 eta: 3 days, 13:42:30 time: 2.2942 data_time: 0.1335 memory: 25719 grad_norm: 1.5502 loss: 1.2788 grounding_loss_reg: 2.7244 detection_loss_cls: 0.0420 detection_loss_reg: 0.4171 caption_loss_cls: 2.2109 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7144 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:35:27 - mmengine - INFO - Saving checkpoint at 341500 iterations 2023/10/31 15:40:27 - mmengine - INFO - Iter(train) [341600/480000] base_lr: 3.9914e-05 lr: 1.1830e-05 eta: 3 days, 13:49:33 time: 2.2990 data_time: 0.1340 memory: 26559 grad_norm: 1.5377 loss: 1.2795 grounding_loss_reg: 2.7255 detection_loss_cls: 0.0421 detection_loss_reg: 0.4169 caption_loss_cls: 2.2073 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7145 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:43:40 - mmengine - INFO - Iter(train) [341700/480000] base_lr: 3.9863e-05 lr: 1.1816e-05 eta: 3 days, 13:41:39 time: 2.2962 data_time: 0.1339 memory: 25719 grad_norm: 1.5398 loss: 1.2803 grounding_loss_reg: 2.7248 detection_loss_cls: 0.0420 detection_loss_reg: 0.4163 caption_loss_cls: 2.2096 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:47:23 - mmengine - INFO - Iter(train) [341800/480000] base_lr: 3.9812e-05 lr: 1.1803e-05 eta: 3 days, 13:37:58 time: 2.2939 data_time: 0.1338 memory: 25719 grad_norm: 1.5575 loss: 1.2877 grounding_loss_reg: 2.7248 detection_loss_cls: 0.0420 detection_loss_reg: 0.4161 caption_loss_cls: 2.2069 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7144 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:50:23 - mmengine - INFO - Iter(train) [341900/480000] base_lr: 3.9761e-05 lr: 1.1790e-05 eta: 3 days, 13:28:22 time: 2.2821 data_time: 0.1337 memory: 26559 grad_norm: 1.5672 loss: 1.2910 grounding_loss_reg: 2.7247 detection_loss_cls: 0.0421 detection_loss_reg: 0.4169 caption_loss_cls: 2.2071 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:54:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 15:54:04 - mmengine - INFO - Iter(train) [342000/480000] base_lr: 3.9710e-05 lr: 1.1777e-05 eta: 3 days, 13:24:20 time: 2.2914 data_time: 0.1338 memory: 26559 grad_norm: 1.5658 loss: 1.2927 grounding_loss_reg: 2.7221 detection_loss_cls: 0.0420 detection_loss_reg: 0.4168 caption_loss_cls: 2.2043 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7151 semantic_segmentation_loss_cls: 0.0101 2023/10/31 15:54:04 - mmengine - INFO - Saving checkpoint at 342000 iterations 2023/10/31 15:58:42 - mmengine - INFO - Iter(train) [342100/480000] base_lr: 3.9659e-05 lr: 1.1764e-05 eta: 3 days, 13:28:08 time: 2.2860 data_time: 0.1337 memory: 25719 grad_norm: 1.5715 loss: 1.2943 grounding_loss_reg: 2.7206 detection_loss_cls: 0.0420 detection_loss_reg: 0.4165 caption_loss_cls: 2.2017 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7165 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:02:05 - mmengine - INFO - Iter(train) [342200/480000] base_lr: 3.9608e-05 lr: 1.1750e-05 eta: 3 days, 13:21:39 time: 2.2847 data_time: 0.1338 memory: 25719 grad_norm: 1.5729 loss: 1.2939 grounding_loss_reg: 2.7168 detection_loss_cls: 0.0420 detection_loss_reg: 0.4161 caption_loss_cls: 2.2017 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2777 instance_segmentation_loss_poly: 0.7170 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:05:42 - mmengine - INFO - Iter(train) [342300/480000] base_lr: 3.9558e-05 lr: 1.1737e-05 eta: 3 days, 13:17:09 time: 2.2901 data_time: 0.1338 memory: 26559 grad_norm: 1.5721 loss: 1.2895 grounding_loss_reg: 2.7164 detection_loss_cls: 0.0417 detection_loss_reg: 0.4145 caption_loss_cls: 2.2020 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7165 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:09:01 - mmengine - INFO - Iter(train) [342400/480000] base_lr: 3.9507e-05 lr: 1.1724e-05 eta: 3 days, 13:10:17 time: 2.2799 data_time: 0.1338 memory: 25719 grad_norm: 1.5740 loss: 1.2920 grounding_loss_reg: 2.7149 detection_loss_cls: 0.0419 detection_loss_reg: 0.4158 caption_loss_cls: 2.2012 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2772 instance_segmentation_loss_poly: 0.7159 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:12:29 - mmengine - INFO - Iter(train) [342500/480000] base_lr: 3.9456e-05 lr: 1.1711e-05 eta: 3 days, 13:04:32 time: 2.2782 data_time: 0.1337 memory: 26559 grad_norm: 1.5700 loss: 1.2936 grounding_loss_reg: 2.7141 detection_loss_cls: 0.0418 detection_loss_reg: 0.4167 caption_loss_cls: 2.1992 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7163 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:12:29 - mmengine - INFO - Saving checkpoint at 342500 iterations 2023/10/31 16:17:13 - mmengine - INFO - Iter(train) [342600/480000] base_lr: 3.9405e-05 lr: 1.1698e-05 eta: 3 days, 13:08:51 time: 2.2814 data_time: 0.1341 memory: 25719 grad_norm: 1.5746 loss: 1.2933 grounding_loss_reg: 2.7107 detection_loss_cls: 0.0417 detection_loss_reg: 0.4165 caption_loss_cls: 2.1991 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:21:11 - mmengine - INFO - Iter(train) [342700/480000] base_lr: 3.9355e-05 lr: 1.1685e-05 eta: 3 days, 13:07:04 time: 2.2868 data_time: 0.1341 memory: 26559 grad_norm: 1.5645 loss: 1.2830 grounding_loss_reg: 2.7088 detection_loss_cls: 0.0417 detection_loss_reg: 0.4163 caption_loss_cls: 2.1991 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7137 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:24:43 - mmengine - INFO - Iter(train) [342800/480000] base_lr: 3.9304e-05 lr: 1.1671e-05 eta: 3 days, 13:01:55 time: 2.2828 data_time: 0.1341 memory: 26559 grad_norm: 1.5721 loss: 1.2873 grounding_loss_reg: 2.7098 detection_loss_cls: 0.0417 detection_loss_reg: 0.4168 caption_loss_cls: 2.2011 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7132 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:28:00 - mmengine - INFO - Iter(train) [342900/480000] base_lr: 3.9253e-05 lr: 1.1658e-05 eta: 3 days, 12:54:46 time: 2.2733 data_time: 0.1340 memory: 25719 grad_norm: 1.5803 loss: 1.2898 grounding_loss_reg: 2.7121 detection_loss_cls: 0.0418 detection_loss_reg: 0.4171 caption_loss_cls: 2.1992 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7142 semantic_segmentation_loss_cls: 0.0101 2023/10/31 16:31:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 16:31:45 - mmengine - INFO - Iter(train) [343000/480000] base_lr: 3.9203e-05 lr: 1.1645e-05 eta: 3 days, 12:51:20 time: 2.2742 data_time: 0.1340 memory: 26559 grad_norm: 1.5749 loss: 1.2864 grounding_loss_reg: 2.7127 detection_loss_cls: 0.0417 detection_loss_reg: 0.4166 caption_loss_cls: 2.2023 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7131 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:31:45 - mmengine - INFO - Saving checkpoint at 343000 iterations 2023/10/31 16:36:39 - mmengine - INFO - Iter(train) [343100/480000] base_lr: 3.9152e-05 lr: 1.1632e-05 eta: 3 days, 12:56:32 time: 2.2775 data_time: 0.1338 memory: 25719 grad_norm: 1.5742 loss: 1.2877 grounding_loss_reg: 2.7115 detection_loss_cls: 0.0417 detection_loss_reg: 0.4160 caption_loss_cls: 2.2021 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2771 instance_segmentation_loss_poly: 0.7143 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:39:51 - mmengine - INFO - Iter(train) [343200/480000] base_lr: 3.9101e-05 lr: 1.1619e-05 eta: 3 days, 12:48:56 time: 2.2682 data_time: 0.1338 memory: 25719 grad_norm: 1.5792 loss: 1.2877 grounding_loss_reg: 2.7100 detection_loss_cls: 0.0416 detection_loss_reg: 0.4166 caption_loss_cls: 2.2040 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7125 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:43:48 - mmengine - INFO - Iter(train) [343300/480000] base_lr: 3.9051e-05 lr: 1.1606e-05 eta: 3 days, 12:46:55 time: 2.2736 data_time: 0.1338 memory: 26559 grad_norm: 1.5803 loss: 1.2865 grounding_loss_reg: 2.7079 detection_loss_cls: 0.0415 detection_loss_reg: 0.4160 caption_loss_cls: 2.2031 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7130 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:47:37 - mmengine - INFO - Iter(train) [343400/480000] base_lr: 3.9000e-05 lr: 1.1593e-05 eta: 3 days, 12:43:56 time: 2.2767 data_time: 0.1338 memory: 26559 grad_norm: 1.5733 loss: 1.2837 grounding_loss_reg: 2.7084 detection_loss_cls: 0.0415 detection_loss_reg: 0.4166 caption_loss_cls: 2.2040 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7130 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:51:31 - mmengine - INFO - Iter(train) [343500/480000] base_lr: 3.8950e-05 lr: 1.1580e-05 eta: 3 days, 12:41:28 time: 2.2767 data_time: 0.1338 memory: 26559 grad_norm: 1.5792 loss: 1.2834 grounding_loss_reg: 2.7088 detection_loss_cls: 0.0415 detection_loss_reg: 0.4162 caption_loss_cls: 2.2031 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7123 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:51:31 - mmengine - INFO - Saving checkpoint at 343500 iterations 2023/10/31 16:56:12 - mmengine - INFO - Iter(train) [343600/480000] base_lr: 3.8899e-05 lr: 1.1567e-05 eta: 3 days, 12:44:47 time: 2.2728 data_time: 0.1335 memory: 26559 grad_norm: 1.5705 loss: 1.2760 grounding_loss_reg: 2.7083 detection_loss_cls: 0.0417 detection_loss_reg: 0.4172 caption_loss_cls: 2.2011 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7133 semantic_segmentation_loss_cls: 0.0100 2023/10/31 16:59:52 - mmengine - INFO - Iter(train) [343700/480000] base_lr: 3.8849e-05 lr: 1.1553e-05 eta: 3 days, 12:40:39 time: 2.2744 data_time: 0.1334 memory: 26559 grad_norm: 1.5655 loss: 1.2755 grounding_loss_reg: 2.7103 detection_loss_cls: 0.0417 detection_loss_reg: 0.4171 caption_loss_cls: 2.2028 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2771 instance_segmentation_loss_poly: 0.7136 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:03:43 - mmengine - INFO - Iter(train) [343800/480000] base_lr: 3.8799e-05 lr: 1.1540e-05 eta: 3 days, 12:37:43 time: 2.2785 data_time: 0.1333 memory: 25719 grad_norm: 1.5637 loss: 1.2627 grounding_loss_reg: 2.7062 detection_loss_cls: 0.0417 detection_loss_reg: 0.4172 caption_loss_cls: 2.2040 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2772 instance_segmentation_loss_poly: 0.7138 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:07:10 - mmengine - INFO - Iter(train) [343900/480000] base_lr: 3.8748e-05 lr: 1.1527e-05 eta: 3 days, 12:32:02 time: 2.2739 data_time: 0.1333 memory: 25719 grad_norm: 1.5645 loss: 1.2558 grounding_loss_reg: 2.7056 detection_loss_cls: 0.0417 detection_loss_reg: 0.4169 caption_loss_cls: 2.2002 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:10:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 17:10:34 - mmengine - INFO - Iter(train) [344000/480000] base_lr: 3.8698e-05 lr: 1.1514e-05 eta: 3 days, 12:25:57 time: 2.2699 data_time: 0.1332 memory: 26559 grad_norm: 1.5595 loss: 1.2511 grounding_loss_reg: 2.7031 detection_loss_cls: 0.0417 detection_loss_reg: 0.4170 caption_loss_cls: 2.2007 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:10:34 - mmengine - INFO - Saving checkpoint at 344000 iterations 2023/10/31 17:15:16 - mmengine - INFO - Iter(train) [344100/480000] base_lr: 3.8647e-05 lr: 1.1501e-05 eta: 3 days, 12:29:08 time: 2.2825 data_time: 0.1484 memory: 25719 grad_norm: 1.5560 loss: 1.2517 grounding_loss_reg: 2.7035 detection_loss_cls: 0.0416 detection_loss_reg: 0.4167 caption_loss_cls: 2.2002 instance_segmentation_loss_cls: 0.0284 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7107 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:19:20 - mmengine - INFO - Iter(train) [344200/480000] base_lr: 3.8597e-05 lr: 1.1488e-05 eta: 3 days, 12:27:48 time: 2.2886 data_time: 0.1484 memory: 26559 grad_norm: 1.5542 loss: 1.2576 grounding_loss_reg: 2.7038 detection_loss_cls: 0.0416 detection_loss_reg: 0.4172 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:22:58 - mmengine - INFO - Iter(train) [344300/480000] base_lr: 3.8547e-05 lr: 1.1475e-05 eta: 3 days, 12:23:23 time: 2.2923 data_time: 0.1485 memory: 25719 grad_norm: 1.5543 loss: 1.2532 grounding_loss_reg: 2.6984 detection_loss_cls: 0.0416 detection_loss_reg: 0.4171 caption_loss_cls: 2.2001 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:26:33 - mmengine - INFO - Iter(train) [344400/480000] base_lr: 3.8497e-05 lr: 1.1462e-05 eta: 3 days, 12:18:37 time: 2.2888 data_time: 0.1484 memory: 26559 grad_norm: 1.5548 loss: 1.2524 grounding_loss_reg: 2.6973 detection_loss_cls: 0.0416 detection_loss_reg: 0.4166 caption_loss_cls: 2.1999 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7127 semantic_segmentation_loss_cls: 0.0100 2023/10/31 17:30:18 - mmengine - INFO - Iter(train) [344500/480000] base_lr: 3.8446e-05 lr: 1.1449e-05 eta: 3 days, 12:14:57 time: 2.2888 data_time: 0.1485 memory: 26559 grad_norm: 1.5570 loss: 1.2527 grounding_loss_reg: 2.6954 detection_loss_cls: 0.0415 detection_loss_reg: 0.4161 caption_loss_cls: 2.2001 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2780 instance_segmentation_loss_poly: 0.7149 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:30:18 - mmengine - INFO - Saving checkpoint at 344500 iterations 2023/10/31 17:35:13 - mmengine - INFO - Iter(train) [344600/480000] base_lr: 3.8396e-05 lr: 1.1436e-05 eta: 3 days, 12:19:26 time: 2.2890 data_time: 0.1480 memory: 25719 grad_norm: 1.5554 loss: 1.2461 grounding_loss_reg: 2.6960 detection_loss_cls: 0.0416 detection_loss_reg: 0.4170 caption_loss_cls: 2.2016 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7131 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:39:12 - mmengine - INFO - Iter(train) [344700/480000] base_lr: 3.8346e-05 lr: 1.1423e-05 eta: 3 days, 12:17:25 time: 2.2996 data_time: 0.1480 memory: 26559 grad_norm: 1.5531 loss: 1.2436 grounding_loss_reg: 2.6945 detection_loss_cls: 0.0416 detection_loss_reg: 0.4175 caption_loss_cls: 2.2013 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7127 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:42:51 - mmengine - INFO - Iter(train) [344800/480000] base_lr: 3.8296e-05 lr: 1.1410e-05 eta: 3 days, 12:13:02 time: 2.2991 data_time: 0.1480 memory: 26559 grad_norm: 1.5647 loss: 1.2471 grounding_loss_reg: 2.6940 detection_loss_cls: 0.0415 detection_loss_reg: 0.4165 caption_loss_cls: 2.2025 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2772 instance_segmentation_loss_poly: 0.7127 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:46:17 - mmengine - INFO - Iter(train) [344900/480000] base_lr: 3.8246e-05 lr: 1.1397e-05 eta: 3 days, 12:07:13 time: 2.3000 data_time: 0.1481 memory: 25719 grad_norm: 1.5597 loss: 1.2522 grounding_loss_reg: 2.6943 detection_loss_cls: 0.0414 detection_loss_reg: 0.4154 caption_loss_cls: 2.2041 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.7134 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:49:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 17:49:56 - mmengine - INFO - Iter(train) [345000/480000] base_lr: 3.8196e-05 lr: 1.1384e-05 eta: 3 days, 12:02:54 time: 2.2985 data_time: 0.1481 memory: 26559 grad_norm: 1.5571 loss: 1.2410 grounding_loss_reg: 2.6928 detection_loss_cls: 0.0409 detection_loss_reg: 0.4127 caption_loss_cls: 2.2052 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7123 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:49:56 - mmengine - INFO - Saving checkpoint at 345000 iterations 2023/10/31 17:54:10 - mmengine - INFO - Iter(train) [345100/480000] base_lr: 3.8145e-05 lr: 1.1371e-05 eta: 3 days, 12:02:34 time: 2.2922 data_time: 0.1481 memory: 26559 grad_norm: 1.5584 loss: 1.2361 grounding_loss_reg: 2.6921 detection_loss_cls: 0.0409 detection_loss_reg: 0.4128 caption_loss_cls: 2.2048 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7119 semantic_segmentation_loss_cls: 0.0099 2023/10/31 17:57:55 - mmengine - INFO - Iter(train) [345200/480000] base_lr: 3.8095e-05 lr: 1.1358e-05 eta: 3 days, 11:58:51 time: 2.2952 data_time: 0.1481 memory: 26559 grad_norm: 1.5453 loss: 1.2304 grounding_loss_reg: 2.6913 detection_loss_cls: 0.0409 detection_loss_reg: 0.4130 caption_loss_cls: 2.2069 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7118 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:01:24 - mmengine - INFO - Iter(train) [345300/480000] base_lr: 3.8045e-05 lr: 1.1345e-05 eta: 3 days, 11:53:28 time: 2.3002 data_time: 0.1482 memory: 26559 grad_norm: 1.5427 loss: 1.2271 grounding_loss_reg: 2.6906 detection_loss_cls: 0.0409 detection_loss_reg: 0.4128 caption_loss_cls: 2.2048 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7116 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:05:08 - mmengine - INFO - Iter(train) [345400/480000] base_lr: 3.7995e-05 lr: 1.1332e-05 eta: 3 days, 11:49:36 time: 2.3020 data_time: 0.1484 memory: 26559 grad_norm: 1.5332 loss: 1.2318 grounding_loss_reg: 2.6893 detection_loss_cls: 0.0410 detection_loss_reg: 0.4129 caption_loss_cls: 2.2060 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2779 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:08:41 - mmengine - INFO - Iter(train) [345500/480000] base_lr: 3.7945e-05 lr: 1.1319e-05 eta: 3 days, 11:44:39 time: 2.2979 data_time: 0.1483 memory: 26559 grad_norm: 1.5333 loss: 1.2330 grounding_loss_reg: 2.6872 detection_loss_cls: 0.0410 detection_loss_reg: 0.4137 caption_loss_cls: 2.2071 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2778 instance_segmentation_loss_poly: 0.7113 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:08:41 - mmengine - INFO - Saving checkpoint at 345500 iterations 2023/10/31 18:13:10 - mmengine - INFO - Iter(train) [345600/480000] base_lr: 3.7896e-05 lr: 1.1306e-05 eta: 3 days, 11:45:48 time: 2.2902 data_time: 0.1476 memory: 26559 grad_norm: 1.5397 loss: 1.2341 grounding_loss_reg: 2.6861 detection_loss_cls: 0.0409 detection_loss_reg: 0.4131 caption_loss_cls: 2.2060 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2775 instance_segmentation_loss_poly: 0.7104 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:16:43 - mmengine - INFO - Iter(train) [345700/480000] base_lr: 3.7846e-05 lr: 1.1293e-05 eta: 3 days, 11:40:49 time: 2.2951 data_time: 0.1476 memory: 25719 grad_norm: 1.5307 loss: 1.2294 grounding_loss_reg: 2.6868 detection_loss_cls: 0.0410 detection_loss_reg: 0.4137 caption_loss_cls: 2.2048 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2782 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:20:35 - mmengine - INFO - Iter(train) [345800/480000] base_lr: 3.7796e-05 lr: 1.1280e-05 eta: 3 days, 11:37:56 time: 2.2974 data_time: 0.1477 memory: 26559 grad_norm: 1.5197 loss: 1.2319 grounding_loss_reg: 2.6882 detection_loss_cls: 0.0406 detection_loss_reg: 0.4118 caption_loss_cls: 2.2057 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2791 instance_segmentation_loss_poly: 0.7134 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:24:11 - mmengine - INFO - Iter(train) [345900/480000] base_lr: 3.7746e-05 lr: 1.1267e-05 eta: 3 days, 11:33:19 time: 2.3064 data_time: 0.1478 memory: 26559 grad_norm: 1.5174 loss: 1.2322 grounding_loss_reg: 2.6876 detection_loss_cls: 0.0407 detection_loss_reg: 0.4127 caption_loss_cls: 2.2065 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2790 instance_segmentation_loss_poly: 0.7135 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:27:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 18:27:42 - mmengine - INFO - Iter(train) [346000/480000] base_lr: 3.7696e-05 lr: 1.1255e-05 eta: 3 days, 11:28:08 time: 2.3040 data_time: 0.1478 memory: 26559 grad_norm: 1.5274 loss: 1.2384 grounding_loss_reg: 2.6877 detection_loss_cls: 0.0406 detection_loss_reg: 0.4125 caption_loss_cls: 2.2074 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2794 instance_segmentation_loss_poly: 0.7146 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:27:42 - mmengine - INFO - Saving checkpoint at 346000 iterations 2023/10/31 18:31:56 - mmengine - INFO - Iter(train) [346100/480000] base_lr: 3.7646e-05 lr: 1.1242e-05 eta: 3 days, 11:27:32 time: 2.2978 data_time: 0.1472 memory: 26559 grad_norm: 1.5368 loss: 1.2489 grounding_loss_reg: 2.6879 detection_loss_cls: 0.0406 detection_loss_reg: 0.4131 caption_loss_cls: 2.2052 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.7158 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:35:22 - mmengine - INFO - Iter(train) [346200/480000] base_lr: 3.7596e-05 lr: 1.1229e-05 eta: 3 days, 11:21:51 time: 2.2987 data_time: 0.1471 memory: 26559 grad_norm: 1.5358 loss: 1.2509 grounding_loss_reg: 2.6891 detection_loss_cls: 0.0405 detection_loss_reg: 0.4127 caption_loss_cls: 2.2041 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7163 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:39:05 - mmengine - INFO - Iter(train) [346300/480000] base_lr: 3.7547e-05 lr: 1.1216e-05 eta: 3 days, 11:17:57 time: 2.3001 data_time: 0.1471 memory: 26559 grad_norm: 1.5331 loss: 1.2478 grounding_loss_reg: 2.6880 detection_loss_cls: 0.0405 detection_loss_reg: 0.4122 caption_loss_cls: 2.2023 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.7171 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:42:53 - mmengine - INFO - Iter(train) [346400/480000] base_lr: 3.7497e-05 lr: 1.1203e-05 eta: 3 days, 11:14:37 time: 2.3074 data_time: 0.1472 memory: 26559 grad_norm: 1.5388 loss: 1.2537 grounding_loss_reg: 2.6890 detection_loss_cls: 0.0406 detection_loss_reg: 0.4124 caption_loss_cls: 2.2029 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7168 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:46:34 - mmengine - INFO - Iter(train) [346500/480000] base_lr: 3.7447e-05 lr: 1.1190e-05 eta: 3 days, 11:10:28 time: 2.3106 data_time: 0.1472 memory: 25719 grad_norm: 1.5358 loss: 1.2530 grounding_loss_reg: 2.6895 detection_loss_cls: 0.0406 detection_loss_reg: 0.4131 caption_loss_cls: 2.2017 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7182 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:46:34 - mmengine - INFO - Saving checkpoint at 346500 iterations 2023/10/31 18:51:26 - mmengine - INFO - Iter(train) [346600/480000] base_lr: 3.7398e-05 lr: 1.1177e-05 eta: 3 days, 11:13:47 time: 2.3127 data_time: 0.1467 memory: 25719 grad_norm: 1.5327 loss: 1.2564 grounding_loss_reg: 2.6908 detection_loss_cls: 0.0405 detection_loss_reg: 0.4124 caption_loss_cls: 2.2004 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7195 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:55:05 - mmengine - INFO - Iter(train) [346700/480000] base_lr: 3.7348e-05 lr: 1.1164e-05 eta: 3 days, 11:09:28 time: 2.3079 data_time: 0.1467 memory: 25719 grad_norm: 1.5418 loss: 1.2618 grounding_loss_reg: 2.6904 detection_loss_cls: 0.0407 detection_loss_reg: 0.4120 caption_loss_cls: 2.2029 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7169 semantic_segmentation_loss_cls: 0.0099 2023/10/31 18:58:35 - mmengine - INFO - Iter(train) [346800/480000] base_lr: 3.7298e-05 lr: 1.1151e-05 eta: 3 days, 11:04:09 time: 2.3072 data_time: 0.1467 memory: 26559 grad_norm: 1.5444 loss: 1.2601 grounding_loss_reg: 2.6916 detection_loss_cls: 0.0408 detection_loss_reg: 0.4122 caption_loss_cls: 2.2048 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7176 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:02:28 - mmengine - INFO - Iter(train) [346900/480000] base_lr: 3.7249e-05 lr: 1.1139e-05 eta: 3 days, 11:01:20 time: 2.3166 data_time: 0.1468 memory: 26559 grad_norm: 1.5351 loss: 1.2547 grounding_loss_reg: 2.6922 detection_loss_cls: 0.0408 detection_loss_reg: 0.4123 caption_loss_cls: 2.2042 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7185 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:06:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 19:06:10 - mmengine - INFO - Iter(train) [347000/480000] base_lr: 3.7199e-05 lr: 1.1126e-05 eta: 3 days, 10:57:20 time: 2.3157 data_time: 0.1468 memory: 26559 grad_norm: 1.5452 loss: 1.2583 grounding_loss_reg: 2.6897 detection_loss_cls: 0.0408 detection_loss_reg: 0.4123 caption_loss_cls: 2.2060 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7170 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:06:10 - mmengine - INFO - Saving checkpoint at 347000 iterations 2023/10/31 19:10:58 - mmengine - INFO - Iter(train) [347100/480000] base_lr: 3.7150e-05 lr: 1.1113e-05 eta: 3 days, 10:59:56 time: 2.3143 data_time: 0.1465 memory: 26559 grad_norm: 1.5452 loss: 1.2567 grounding_loss_reg: 2.6897 detection_loss_cls: 0.0408 detection_loss_reg: 0.4120 caption_loss_cls: 2.2083 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7173 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:15:00 - mmengine - INFO - Iter(train) [347200/480000] base_lr: 3.7100e-05 lr: 1.1100e-05 eta: 3 days, 10:57:49 time: 2.3265 data_time: 0.1466 memory: 26559 grad_norm: 1.5312 loss: 1.2515 grounding_loss_reg: 2.6910 detection_loss_cls: 0.0409 detection_loss_reg: 0.4128 caption_loss_cls: 2.2073 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7189 semantic_segmentation_loss_cls: 0.0100 2023/10/31 19:18:35 - mmengine - INFO - Iter(train) [347300/480000] base_lr: 3.7051e-05 lr: 1.1087e-05 eta: 3 days, 10:53:07 time: 2.3211 data_time: 0.1466 memory: 25719 grad_norm: 1.5284 loss: 1.2584 grounding_loss_reg: 2.6919 detection_loss_cls: 0.0409 detection_loss_reg: 0.4135 caption_loss_cls: 2.2075 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7217 semantic_segmentation_loss_cls: 0.0100 2023/10/31 19:22:12 - mmengine - INFO - Iter(train) [347400/480000] base_lr: 3.7001e-05 lr: 1.1074e-05 eta: 3 days, 10:48:35 time: 2.3180 data_time: 0.1465 memory: 25719 grad_norm: 1.5394 loss: 1.2673 grounding_loss_reg: 2.6914 detection_loss_cls: 0.0409 detection_loss_reg: 0.4142 caption_loss_cls: 2.2097 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7225 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:25:50 - mmengine - INFO - Iter(train) [347500/480000] base_lr: 3.6952e-05 lr: 1.1062e-05 eta: 3 days, 10:44:11 time: 2.3141 data_time: 0.1466 memory: 25719 grad_norm: 1.5327 loss: 1.2699 grounding_loss_reg: 2.6929 detection_loss_cls: 0.0409 detection_loss_reg: 0.4137 caption_loss_cls: 2.2079 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7222 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:25:50 - mmengine - INFO - Saving checkpoint at 347500 iterations 2023/10/31 19:30:38 - mmengine - INFO - Iter(train) [347600/480000] base_lr: 3.6902e-05 lr: 1.1049e-05 eta: 3 days, 10:46:38 time: 2.3160 data_time: 0.1470 memory: 25719 grad_norm: 1.5392 loss: 1.2756 grounding_loss_reg: 2.6928 detection_loss_cls: 0.0409 detection_loss_reg: 0.4136 caption_loss_cls: 2.2098 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7221 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:33:49 - mmengine - INFO - Iter(train) [347700/480000] base_lr: 3.6853e-05 lr: 1.1036e-05 eta: 3 days, 10:39:29 time: 2.3085 data_time: 0.1470 memory: 26559 grad_norm: 1.5409 loss: 1.2743 grounding_loss_reg: 2.6927 detection_loss_cls: 0.0409 detection_loss_reg: 0.4139 caption_loss_cls: 2.2081 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7231 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:37:30 - mmengine - INFO - Iter(train) [347800/480000] base_lr: 3.6804e-05 lr: 1.1023e-05 eta: 3 days, 10:35:22 time: 2.3062 data_time: 0.1471 memory: 25719 grad_norm: 1.5339 loss: 1.2758 grounding_loss_reg: 2.6942 detection_loss_cls: 0.0408 detection_loss_reg: 0.4136 caption_loss_cls: 2.2077 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7255 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:41:09 - mmengine - INFO - Iter(train) [347900/480000] base_lr: 3.6754e-05 lr: 1.1010e-05 eta: 3 days, 10:31:05 time: 2.3091 data_time: 0.1471 memory: 25719 grad_norm: 1.5326 loss: 1.2756 grounding_loss_reg: 2.6948 detection_loss_cls: 0.0410 detection_loss_reg: 0.4149 caption_loss_cls: 2.2054 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7241 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:44:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 19:44:54 - mmengine - INFO - Iter(train) [348000/480000] base_lr: 3.6705e-05 lr: 1.0998e-05 eta: 3 days, 10:27:18 time: 2.3143 data_time: 0.1471 memory: 26559 grad_norm: 1.5338 loss: 1.2726 grounding_loss_reg: 2.6942 detection_loss_cls: 0.0410 detection_loss_reg: 0.4149 caption_loss_cls: 2.2012 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7222 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:44:54 - mmengine - INFO - Saving checkpoint at 348000 iterations 2023/10/31 19:49:15 - mmengine - INFO - Iter(train) [348100/480000] base_lr: 3.6656e-05 lr: 1.0985e-05 eta: 3 days, 10:27:03 time: 2.3093 data_time: 0.1478 memory: 25719 grad_norm: 1.5412 loss: 1.2747 grounding_loss_reg: 2.6942 detection_loss_cls: 0.0411 detection_loss_reg: 0.4153 caption_loss_cls: 2.2012 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7229 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:52:35 - mmengine - INFO - Iter(train) [348200/480000] base_lr: 3.6607e-05 lr: 1.0972e-05 eta: 3 days, 10:20:54 time: 2.2982 data_time: 0.1477 memory: 25719 grad_norm: 1.5553 loss: 1.2746 grounding_loss_reg: 2.6956 detection_loss_cls: 0.0414 detection_loss_reg: 0.4160 caption_loss_cls: 2.2042 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7221 semantic_segmentation_loss_cls: 0.0099 2023/10/31 19:55:55 - mmengine - INFO - Iter(train) [348300/480000] base_lr: 3.6557e-05 lr: 1.0959e-05 eta: 3 days, 10:14:44 time: 2.2934 data_time: 0.1477 memory: 26559 grad_norm: 1.5592 loss: 1.2806 grounding_loss_reg: 2.6929 detection_loss_cls: 0.0413 detection_loss_reg: 0.4158 caption_loss_cls: 2.2019 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7227 semantic_segmentation_loss_cls: 0.0098 2023/10/31 19:59:13 - mmengine - INFO - Iter(train) [348400/480000] base_lr: 3.6508e-05 lr: 1.0947e-05 eta: 3 days, 10:08:30 time: 2.2893 data_time: 0.1476 memory: 26559 grad_norm: 1.5581 loss: 1.2832 grounding_loss_reg: 2.6920 detection_loss_cls: 0.0414 detection_loss_reg: 0.4154 caption_loss_cls: 2.2039 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7223 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:02:58 - mmengine - INFO - Iter(train) [348500/480000] base_lr: 3.6459e-05 lr: 1.0934e-05 eta: 3 days, 10:04:49 time: 2.2895 data_time: 0.1476 memory: 25719 grad_norm: 1.5513 loss: 1.2802 grounding_loss_reg: 2.6924 detection_loss_cls: 0.0415 detection_loss_reg: 0.4164 caption_loss_cls: 2.1988 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7210 semantic_segmentation_loss_cls: 0.0099 2023/10/31 20:02:58 - mmengine - INFO - Saving checkpoint at 348500 iterations 2023/10/31 20:07:44 - mmengine - INFO - Iter(train) [348600/480000] base_lr: 3.6410e-05 lr: 1.0921e-05 eta: 3 days, 10:06:46 time: 2.2872 data_time: 0.1481 memory: 26559 grad_norm: 1.5546 loss: 1.2847 grounding_loss_reg: 2.6930 detection_loss_cls: 0.0415 detection_loss_reg: 0.4159 caption_loss_cls: 2.1999 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7197 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:11:47 - mmengine - INFO - Iter(train) [348700/480000] base_lr: 3.6361e-05 lr: 1.0908e-05 eta: 3 days, 10:04:38 time: 2.2881 data_time: 0.1481 memory: 26559 grad_norm: 1.5478 loss: 1.2789 grounding_loss_reg: 2.6927 detection_loss_cls: 0.0416 detection_loss_reg: 0.4160 caption_loss_cls: 2.2001 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7195 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:15:04 - mmengine - INFO - Iter(train) [348800/480000] base_lr: 3.6312e-05 lr: 1.0896e-05 eta: 3 days, 9:58:16 time: 2.2826 data_time: 0.1481 memory: 26559 grad_norm: 1.5388 loss: 1.2798 grounding_loss_reg: 2.6927 detection_loss_cls: 0.0414 detection_loss_reg: 0.4146 caption_loss_cls: 2.1997 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7198 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:18:45 - mmengine - INFO - Iter(train) [348900/480000] base_lr: 3.6263e-05 lr: 1.0883e-05 eta: 3 days, 9:54:12 time: 2.2864 data_time: 0.1481 memory: 25719 grad_norm: 1.5385 loss: 1.2796 grounding_loss_reg: 2.6924 detection_loss_cls: 0.0414 detection_loss_reg: 0.4142 caption_loss_cls: 2.1975 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7186 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:22:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 20:22:18 - mmengine - INFO - Iter(train) [349000/480000] base_lr: 3.6214e-05 lr: 1.0870e-05 eta: 3 days, 9:49:21 time: 2.2849 data_time: 0.1481 memory: 26559 grad_norm: 1.5379 loss: 1.2844 grounding_loss_reg: 2.6921 detection_loss_cls: 0.0415 detection_loss_reg: 0.4146 caption_loss_cls: 2.1964 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7179 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:22:18 - mmengine - INFO - Saving checkpoint at 349000 iterations 2023/10/31 20:26:54 - mmengine - INFO - Iter(train) [349100/480000] base_lr: 3.6165e-05 lr: 1.0858e-05 eta: 3 days, 9:50:13 time: 2.2903 data_time: 0.1481 memory: 26559 grad_norm: 1.5324 loss: 1.2834 grounding_loss_reg: 2.6917 detection_loss_cls: 0.0414 detection_loss_reg: 0.4143 caption_loss_cls: 2.1981 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7167 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:30:12 - mmengine - INFO - Iter(train) [349200/480000] base_lr: 3.6116e-05 lr: 1.0845e-05 eta: 3 days, 9:44:01 time: 2.2836 data_time: 0.1480 memory: 26559 grad_norm: 1.5448 loss: 1.2909 grounding_loss_reg: 2.6932 detection_loss_cls: 0.0415 detection_loss_reg: 0.4148 caption_loss_cls: 2.1981 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7168 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:33:42 - mmengine - INFO - Iter(train) [349300/480000] base_lr: 3.6067e-05 lr: 1.0832e-05 eta: 3 days, 9:38:58 time: 2.2838 data_time: 0.1481 memory: 25719 grad_norm: 1.5416 loss: 1.2917 grounding_loss_reg: 2.6946 detection_loss_cls: 0.0416 detection_loss_reg: 0.4157 caption_loss_cls: 2.1977 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7179 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:37:20 - mmengine - INFO - Iter(train) [349400/480000] base_lr: 3.6018e-05 lr: 1.0819e-05 eta: 3 days, 9:34:33 time: 2.2825 data_time: 0.1478 memory: 25719 grad_norm: 1.5468 loss: 1.2891 grounding_loss_reg: 2.6945 detection_loss_cls: 0.0415 detection_loss_reg: 0.4153 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7190 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:41:11 - mmengine - INFO - Iter(train) [349500/480000] base_lr: 3.5969e-05 lr: 1.0807e-05 eta: 3 days, 9:31:21 time: 2.2869 data_time: 0.1479 memory: 26559 grad_norm: 1.5449 loss: 1.2838 grounding_loss_reg: 2.6927 detection_loss_cls: 0.0415 detection_loss_reg: 0.4159 caption_loss_cls: 2.2011 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7192 semantic_segmentation_loss_cls: 0.0097 2023/10/31 20:41:11 - mmengine - INFO - Saving checkpoint at 349500 iterations 2023/10/31 20:45:33 - mmengine - INFO - Iter(train) [349600/480000] base_lr: 3.5920e-05 lr: 1.0794e-05 eta: 3 days, 9:30:52 time: 2.2851 data_time: 0.1484 memory: 25719 grad_norm: 1.5468 loss: 1.2814 grounding_loss_reg: 2.6893 detection_loss_cls: 0.0414 detection_loss_reg: 0.4155 caption_loss_cls: 2.2010 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7183 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:48:59 - mmengine - INFO - Iter(train) [349700/480000] base_lr: 3.5872e-05 lr: 1.0782e-05 eta: 3 days, 9:25:29 time: 2.2835 data_time: 0.1484 memory: 26559 grad_norm: 1.5482 loss: 1.2824 grounding_loss_reg: 2.6882 detection_loss_cls: 0.0413 detection_loss_reg: 0.4138 caption_loss_cls: 2.2037 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7171 semantic_segmentation_loss_cls: 0.0097 2023/10/31 20:51:53 - mmengine - INFO - Iter(train) [349800/480000] base_lr: 3.5823e-05 lr: 1.0769e-05 eta: 3 days, 9:17:15 time: 2.2689 data_time: 0.1483 memory: 26559 grad_norm: 1.5517 loss: 1.2789 grounding_loss_reg: 2.6867 detection_loss_cls: 0.0414 detection_loss_reg: 0.4141 caption_loss_cls: 2.2064 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7186 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:54:56 - mmengine - INFO - Iter(train) [349900/480000] base_lr: 3.5774e-05 lr: 1.0756e-05 eta: 3 days, 9:09:53 time: 2.2606 data_time: 0.1485 memory: 26559 grad_norm: 1.5613 loss: 1.2813 grounding_loss_reg: 2.6864 detection_loss_cls: 0.0415 detection_loss_reg: 0.4150 caption_loss_cls: 2.2033 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7206 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:58:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 20:58:28 - mmengine - INFO - Iter(train) [350000/480000] base_lr: 3.5725e-05 lr: 1.0744e-05 eta: 3 days, 9:05:03 time: 2.2609 data_time: 0.1484 memory: 25719 grad_norm: 1.5666 loss: 1.2835 grounding_loss_reg: 2.6869 detection_loss_cls: 0.0417 detection_loss_reg: 0.4159 caption_loss_cls: 2.2023 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7206 semantic_segmentation_loss_cls: 0.0098 2023/10/31 20:58:28 - mmengine - INFO - Saving checkpoint at 350000 iterations 2023/10/31 21:04:22 - mmengine - INFO - Evaluating bbox... 2023/10/31 21:05:22 - mmengine - INFO - bbox_mAP_copypaste: 0.521 0.700 0.571 0.372 0.570 0.676 2023/10/31 21:05:22 - mmengine - INFO - Evaluating segm... 2023/10/31 21:06:38 - mmengine - INFO - segm_mAP_copypaste: 0.349 0.609 0.351 0.210 0.396 0.539 2023/10/31 21:08:02 - mmengine - INFO - Evaluating bbox... 2023/10/31 21:09:06 - mmengine - INFO - bbox_mAP_copypaste: 0.522 0.701 0.572 0.370 0.571 0.676 2023/10/31 21:12:13 - mmengine - INFO - per class results: 2023/10/31 21:12:13 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.99 | 88.62 | | building | 82.08 | 93.14 | | sky | 93.13 | 97.73 | | floor | 82.73 | 89.34 | | tree | 74.15 | 87.06 | | ceiling | 84.77 | 93.89 | | road | 84.19 | 88.75 | | bed | 89.29 | 94.86 | | windowpane | 63.73 | 80.86 | | grass | 67.95 | 80.74 | | cabinet | 62.26 | 72.81 | | sidewalk | 67.55 | 84.32 | | person | 81.19 | 90.31 | | earth | 42.37 | 55.84 | | door | 54.2 | 71.52 | | table | 64.55 | 80.37 | | mountain | 61.58 | 74.77 | | plant | 53.78 | 63.38 | | curtain | 72.48 | 86.8 | | chair | 59.53 | 75.0 | | car | 82.92 | 92.92 | | water | 61.67 | 74.54 | | painting | 71.42 | 85.48 | | sofa | 71.89 | 82.91 | | shelf | 43.7 | 60.41 | | house | 42.47 | 55.13 | | sea | 67.67 | 89.6 | | mirror | 69.33 | 77.19 | | rug | 70.19 | 81.84 | | field | 28.56 | 47.23 | | armchair | 48.97 | 64.57 | | seat | 66.28 | 83.74 | | fence | 45.72 | 64.28 | | desk | 51.11 | 74.39 | | rock | 54.08 | 73.99 | | wardrobe | 55.82 | 73.39 | | lamp | 61.41 | 75.36 | | bathtub | 84.96 | 87.61 | | railing | 38.01 | 53.95 | | cushion | 58.89 | 68.07 | | base | 28.18 | 44.96 | | box | 30.54 | 38.03 | | column | 47.9 | 59.22 | | signboard | 34.13 | 43.11 | | chest of drawers | 44.15 | 68.19 | | counter | 21.94 | 28.5 | | sand | 56.23 | 86.01 | | sink | 75.06 | 84.94 | | skyscraper | 53.36 | 62.64 | | fireplace | 67.58 | 86.06 | | refrigerator | 73.36 | 82.57 | | grandstand | 51.33 | 75.92 | | path | 27.04 | 41.74 | | stairs | 37.51 | 50.93 | | runway | 73.94 | 93.66 | | case | 44.53 | 58.63 | | pool table | 90.66 | 95.14 | | pillow | 55.54 | 71.36 | | screen door | 74.3 | 79.58 | | stairway | 33.45 | 37.74 | | river | 20.24 | 31.21 | | bridge | 50.27 | 57.23 | | bookcase | 36.15 | 52.79 | | blind | 42.62 | 48.99 | | coffee table | 60.93 | 73.15 | | toilet | 86.84 | 90.81 | | flower | 31.89 | 44.07 | | book | 45.26 | 67.28 | | hill | 12.53 | 23.53 | | bench | 57.28 | 73.13 | | countertop | 61.97 | 71.43 | | stove | 72.21 | 81.31 | | palm | 47.41 | 60.51 | | kitchen island | 41.35 | 80.36 | | computer | 73.65 | 85.59 | | swivel chair | 47.37 | 63.26 | | boat | 48.84 | 55.99 | | bar | 43.66 | 57.88 | | arcade machine | 71.46 | 78.33 | | hovel | 45.36 | 52.98 | | bus | 93.06 | 96.18 | | towel | 64.28 | 73.88 | | light | 46.29 | 51.78 | | truck | 44.1 | 57.97 | | tower | 36.83 | 54.18 | | chandelier | 65.12 | 80.78 | | awning | 28.99 | 38.89 | | streetlight | 28.72 | 36.72 | | booth | 43.41 | 50.65 | | television receiver | 70.62 | 83.88 | | airplane | 65.13 | 74.88 | | dirt track | 3.94 | 22.96 | | apparel | 38.54 | 54.55 | | pole | 25.4 | 37.92 | | land | 0.81 | 0.94 | | bannister | 13.93 | 16.99 | | escalator | 22.81 | 24.99 | | ottoman | 48.69 | 71.99 | | bottle | 27.56 | 33.95 | | buffet | 37.74 | 41.58 | | poster | 28.93 | 36.62 | | stage | 12.05 | 19.34 | | van | 28.98 | 33.97 | | ship | 64.5 | 90.93 | | fountain | 18.11 | 18.4 | | conveyer belt | 69.75 | 92.17 | | canopy | 26.63 | 39.61 | | washer | 64.4 | 65.68 | | plaything | 21.96 | 26.33 | | swimming pool | 79.81 | 86.82 | | stool | 47.29 | 59.23 | | barrel | 52.96 | 65.0 | | basket | 29.8 | 48.19 | | waterfall | 74.84 | 85.78 | | tent | 88.63 | 97.25 | | bag | 18.95 | 22.57 | | minibike | 72.77 | 81.87 | | cradle | 76.78 | 91.36 | | oven | 40.79 | 53.85 | | ball | 44.6 | 51.49 | | food | 50.06 | 57.89 | | step | 5.43 | 6.32 | | tank | 46.71 | 63.61 | | trade name | 23.82 | 25.99 | | microwave | 86.22 | 94.75 | | pot | 53.54 | 61.83 | | animal | 64.19 | 68.37 | | bicycle | 59.67 | 76.43 | | lake | 54.58 | 62.48 | | dishwasher | 66.15 | 78.14 | | screen | 69.68 | 80.81 | | blanket | 24.57 | 29.24 | | sculpture | 72.58 | 83.8 | | hood | 64.55 | 80.71 | | sconce | 43.61 | 53.77 | | vase | 39.69 | 51.65 | | traffic light | 31.07 | 35.92 | | tray | 14.15 | 24.99 | | ashcan | 42.01 | 60.7 | | fan | 58.11 | 68.17 | | pier | 57.13 | 65.36 | | crt screen | 6.18 | 13.08 | | plate | 57.47 | 68.98 | | monitor | 10.25 | 12.64 | | bulletin board | 51.27 | 61.13 | | shower | 3.17 | 5.19 | | radiator | 51.8 | 56.07 | | glass | 16.86 | 18.41 | | clock | 27.28 | 30.91 | | flag | 66.87 | 73.03 | +---------------------+-------+-------+ 2023/10/31 21:12:36 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.1847 data_time: 0.0313 memory: 27834 2023/10/31 21:12:59 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5220 coco/bbox_mAP_50: 0.7010 coco/bbox_mAP_75: 0.5720 coco/bbox_mAP_s: 0.3700 coco/bbox_mAP_m: 0.5710 coco/bbox_mAP_l: 0.6760 coco/segm_mAP: 0.3490 coco/segm_mAP_50: 0.6090 coco/segm_mAP_75: 0.3510 coco/segm_mAP_s: 0.2100 coco/segm_mAP_m: 0.3960 coco/segm_mAP_l: 0.5390 Bleu_1: 0.7626 Bleu_2: 0.5959 Bleu_3: 0.4539 Bleu_4: 0.3437 METEOR: 0.2799 ROUGE_L: 0.5663 CIDEr: 1.1494 SPICE: 0.2079 aAcc: 83.8700 mIoU: 51.3300 mAcc: 62.6500 visual-grounding/miou: 0.7950 visual-grounding/acc: 0.8632 data_time: 0.0014 time: 0.2291 2023/10/31 21:16:23 - mmengine - INFO - Iter(train) [350100/480000] base_lr: 3.5677e-05 lr: 1.0731e-05 eta: 3 days, 9:00:06 time: 2.2501 data_time: 0.1337 memory: 25719 grad_norm: 1.5575 loss: 1.2723 grounding_loss_reg: 2.6883 detection_loss_cls: 0.0416 detection_loss_reg: 0.4147 caption_loss_cls: 2.2033 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7216 semantic_segmentation_loss_cls: 0.0097 2023/10/31 21:19:34 - mmengine - INFO - Iter(train) [350200/480000] base_lr: 3.5628e-05 lr: 1.0718e-05 eta: 3 days, 8:53:29 time: 2.2464 data_time: 0.1337 memory: 25719 grad_norm: 1.5584 loss: 1.2703 grounding_loss_reg: 2.6863 detection_loss_cls: 0.0416 detection_loss_reg: 0.4151 caption_loss_cls: 2.2045 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7216 semantic_segmentation_loss_cls: 0.0097 2023/10/31 21:22:43 - mmengine - INFO - Iter(train) [350300/480000] base_lr: 3.5579e-05 lr: 1.0706e-05 eta: 3 days, 8:46:46 time: 2.2381 data_time: 0.1337 memory: 25719 grad_norm: 1.5676 loss: 1.2751 grounding_loss_reg: 2.6869 detection_loss_cls: 0.0416 detection_loss_reg: 0.4154 caption_loss_cls: 2.2037 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7227 semantic_segmentation_loss_cls: 0.0097 2023/10/31 21:26:15 - mmengine - INFO - Iter(train) [350400/480000] base_lr: 3.5531e-05 lr: 1.0693e-05 eta: 3 days, 8:41:56 time: 2.2339 data_time: 0.1337 memory: 26559 grad_norm: 1.5707 loss: 1.2767 grounding_loss_reg: 2.6876 detection_loss_cls: 0.0417 detection_loss_reg: 0.4161 caption_loss_cls: 2.2021 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7227 semantic_segmentation_loss_cls: 0.0097 2023/10/31 21:29:35 - mmengine - INFO - Iter(train) [350500/480000] base_lr: 3.5482e-05 lr: 1.0681e-05 eta: 3 days, 8:36:12 time: 2.2289 data_time: 0.1336 memory: 26559 grad_norm: 1.5733 loss: 1.2789 grounding_loss_reg: 2.6866 detection_loss_cls: 0.0418 detection_loss_reg: 0.4176 caption_loss_cls: 2.2015 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7238 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:29:35 - mmengine - INFO - Saving checkpoint at 350500 iterations 2023/10/31 21:34:12 - mmengine - INFO - Iter(train) [350600/480000] base_lr: 3.5433e-05 lr: 1.0668e-05 eta: 3 days, 8:36:55 time: 2.2249 data_time: 0.1342 memory: 26559 grad_norm: 1.5796 loss: 1.2797 grounding_loss_reg: 2.6882 detection_loss_cls: 0.0419 detection_loss_reg: 0.4170 caption_loss_cls: 2.2024 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7237 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:37:50 - mmengine - INFO - Iter(train) [350700/480000] base_lr: 3.5385e-05 lr: 1.0655e-05 eta: 3 days, 8:32:39 time: 2.2247 data_time: 0.1342 memory: 25719 grad_norm: 1.5796 loss: 1.2791 grounding_loss_reg: 2.6901 detection_loss_cls: 0.0420 detection_loss_reg: 0.4182 caption_loss_cls: 2.2000 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7246 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:41:27 - mmengine - INFO - Iter(train) [350800/480000] base_lr: 3.5336e-05 lr: 1.0643e-05 eta: 3 days, 8:28:17 time: 2.2266 data_time: 0.1342 memory: 26559 grad_norm: 1.5774 loss: 1.2768 grounding_loss_reg: 2.6903 detection_loss_cls: 0.0420 detection_loss_reg: 0.4183 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7253 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:44:51 - mmengine - INFO - Iter(train) [350900/480000] base_lr: 3.5288e-05 lr: 1.0630e-05 eta: 3 days, 8:22:50 time: 2.2191 data_time: 0.1341 memory: 25719 grad_norm: 1.5779 loss: 1.2785 grounding_loss_reg: 2.6895 detection_loss_cls: 0.0419 detection_loss_reg: 0.4183 caption_loss_cls: 2.2008 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7246 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:48:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 21:48:27 - mmengine - INFO - Iter(train) [351000/480000] base_lr: 3.5239e-05 lr: 1.0618e-05 eta: 3 days, 8:18:27 time: 2.2176 data_time: 0.1342 memory: 26559 grad_norm: 1.5740 loss: 1.2756 grounding_loss_reg: 2.6894 detection_loss_cls: 0.0416 detection_loss_reg: 0.4165 caption_loss_cls: 2.2021 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.7249 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:48:27 - mmengine - INFO - Saving checkpoint at 351000 iterations 2023/10/31 21:53:08 - mmengine - INFO - Iter(train) [351100/480000] base_lr: 3.5191e-05 lr: 1.0605e-05 eta: 3 days, 8:19:21 time: 2.2158 data_time: 0.1339 memory: 25719 grad_norm: 1.5712 loss: 1.2764 grounding_loss_reg: 2.6872 detection_loss_cls: 0.0417 detection_loss_reg: 0.4169 caption_loss_cls: 2.2036 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7249 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:56:15 - mmengine - INFO - Iter(train) [351200/480000] base_lr: 3.5143e-05 lr: 1.0593e-05 eta: 3 days, 8:12:33 time: 2.2022 data_time: 0.1338 memory: 25719 grad_norm: 1.5861 loss: 1.2839 grounding_loss_reg: 2.6875 detection_loss_cls: 0.0421 detection_loss_reg: 0.4188 caption_loss_cls: 2.2003 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7243 semantic_segmentation_loss_cls: 0.0098 2023/10/31 21:59:34 - mmengine - INFO - Iter(train) [351300/480000] base_lr: 3.5094e-05 lr: 1.0580e-05 eta: 3 days, 8:06:44 time: 2.1981 data_time: 0.1338 memory: 26559 grad_norm: 1.5988 loss: 1.2839 grounding_loss_reg: 2.6875 detection_loss_cls: 0.0421 detection_loss_reg: 0.4193 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7249 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:03:04 - mmengine - INFO - Iter(train) [351400/480000] base_lr: 3.5046e-05 lr: 1.0567e-05 eta: 3 days, 8:01:53 time: 2.1964 data_time: 0.1338 memory: 26559 grad_norm: 1.6010 loss: 1.2840 grounding_loss_reg: 2.6883 detection_loss_cls: 0.0422 detection_loss_reg: 0.4194 caption_loss_cls: 2.2008 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.7252 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:06:26 - mmengine - INFO - Iter(train) [351500/480000] base_lr: 3.4998e-05 lr: 1.0555e-05 eta: 3 days, 7:56:21 time: 2.1924 data_time: 0.1338 memory: 26559 grad_norm: 1.6061 loss: 1.2872 grounding_loss_reg: 2.6883 detection_loss_cls: 0.0422 detection_loss_reg: 0.4190 caption_loss_cls: 2.2022 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7268 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:06:26 - mmengine - INFO - Saving checkpoint at 351500 iterations 2023/10/31 22:11:01 - mmengine - INFO - Iter(train) [351600/480000] base_lr: 3.4949e-05 lr: 1.0542e-05 eta: 3 days, 7:56:46 time: 2.1891 data_time: 0.1339 memory: 26559 grad_norm: 1.6079 loss: 1.2858 grounding_loss_reg: 2.6882 detection_loss_cls: 0.0423 detection_loss_reg: 0.4201 caption_loss_cls: 2.2019 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7282 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:14:38 - mmengine - INFO - Iter(train) [351700/480000] base_lr: 3.4901e-05 lr: 1.0530e-05 eta: 3 days, 7:52:25 time: 2.1958 data_time: 0.1340 memory: 26559 grad_norm: 1.6123 loss: 1.2855 grounding_loss_reg: 2.6860 detection_loss_cls: 0.0421 detection_loss_reg: 0.4185 caption_loss_cls: 2.1969 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7278 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:18:14 - mmengine - INFO - Iter(train) [351800/480000] base_lr: 3.4853e-05 lr: 1.0517e-05 eta: 3 days, 7:48:00 time: 2.1944 data_time: 0.1340 memory: 26559 grad_norm: 1.6176 loss: 1.2909 grounding_loss_reg: 2.6830 detection_loss_cls: 0.0420 detection_loss_reg: 0.4181 caption_loss_cls: 2.2009 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7270 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:21:49 - mmengine - INFO - Iter(train) [351900/480000] base_lr: 3.4805e-05 lr: 1.0505e-05 eta: 3 days, 7:43:33 time: 2.1933 data_time: 0.1339 memory: 25719 grad_norm: 1.6161 loss: 1.2909 grounding_loss_reg: 2.6827 detection_loss_cls: 0.0419 detection_loss_reg: 0.4174 caption_loss_cls: 2.2015 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7266 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:25:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 22:25:20 - mmengine - INFO - Iter(train) [352000/480000] base_lr: 3.4757e-05 lr: 1.0492e-05 eta: 3 days, 7:38:50 time: 2.1901 data_time: 0.1339 memory: 26559 grad_norm: 1.6133 loss: 1.2954 grounding_loss_reg: 2.6832 detection_loss_cls: 0.0421 detection_loss_reg: 0.4185 caption_loss_cls: 2.1962 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:25:20 - mmengine - INFO - Saving checkpoint at 352000 iterations 2023/10/31 22:30:20 - mmengine - INFO - Iter(train) [352100/480000] base_lr: 3.4708e-05 lr: 1.0480e-05 eta: 3 days, 7:41:03 time: 2.1996 data_time: 0.1336 memory: 26559 grad_norm: 1.6098 loss: 1.2966 grounding_loss_reg: 2.6826 detection_loss_cls: 0.0421 detection_loss_reg: 0.4194 caption_loss_cls: 2.1989 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7274 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:33:44 - mmengine - INFO - Iter(train) [352200/480000] base_lr: 3.4660e-05 lr: 1.0467e-05 eta: 3 days, 7:35:43 time: 2.2006 data_time: 0.1337 memory: 26559 grad_norm: 1.6059 loss: 1.2984 grounding_loss_reg: 2.6799 detection_loss_cls: 0.0421 detection_loss_reg: 0.4197 caption_loss_cls: 2.1992 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:37:13 - mmengine - INFO - Iter(train) [352300/480000] base_lr: 3.4612e-05 lr: 1.0455e-05 eta: 3 days, 7:30:48 time: 2.2031 data_time: 0.1337 memory: 25719 grad_norm: 1.6005 loss: 1.2971 grounding_loss_reg: 2.6810 detection_loss_cls: 0.0420 detection_loss_reg: 0.4190 caption_loss_cls: 2.2019 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7282 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:40:59 - mmengine - INFO - Iter(train) [352400/480000] base_lr: 3.4564e-05 lr: 1.0443e-05 eta: 3 days, 7:27:12 time: 2.2100 data_time: 0.1338 memory: 26559 grad_norm: 1.6011 loss: 1.2973 grounding_loss_reg: 2.6796 detection_loss_cls: 0.0419 detection_loss_reg: 0.4185 caption_loss_cls: 2.2002 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7277 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:44:49 - mmengine - INFO - Iter(train) [352500/480000] base_lr: 3.4516e-05 lr: 1.0430e-05 eta: 3 days, 7:23:53 time: 2.2111 data_time: 0.1337 memory: 26559 grad_norm: 1.6084 loss: 1.3018 grounding_loss_reg: 2.6807 detection_loss_cls: 0.0419 detection_loss_reg: 0.4178 caption_loss_cls: 2.1974 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7261 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:44:49 - mmengine - INFO - Saving checkpoint at 352500 iterations 2023/10/31 22:49:53 - mmengine - INFO - Iter(train) [352600/480000] base_lr: 3.4468e-05 lr: 1.0418e-05 eta: 3 days, 7:26:18 time: 2.2156 data_time: 0.1341 memory: 26559 grad_norm: 1.6076 loss: 1.3009 grounding_loss_reg: 2.6824 detection_loss_cls: 0.0418 detection_loss_reg: 0.4170 caption_loss_cls: 2.1968 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7263 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:53:21 - mmengine - INFO - Iter(train) [352700/480000] base_lr: 3.4420e-05 lr: 1.0405e-05 eta: 3 days, 7:21:16 time: 2.2069 data_time: 0.1340 memory: 26559 grad_norm: 1.6153 loss: 1.3046 grounding_loss_reg: 2.6823 detection_loss_cls: 0.0417 detection_loss_reg: 0.4163 caption_loss_cls: 2.1961 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7271 semantic_segmentation_loss_cls: 0.0098 2023/10/31 22:56:44 - mmengine - INFO - Iter(train) [352800/480000] base_lr: 3.4372e-05 lr: 1.0393e-05 eta: 3 days, 7:15:56 time: 2.2086 data_time: 0.1340 memory: 25719 grad_norm: 1.6254 loss: 1.3037 grounding_loss_reg: 2.6805 detection_loss_cls: 0.0418 detection_loss_reg: 0.4166 caption_loss_cls: 2.1979 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7256 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:00:05 - mmengine - INFO - Iter(train) [352900/480000] base_lr: 3.4324e-05 lr: 1.0380e-05 eta: 3 days, 7:10:25 time: 2.2035 data_time: 0.1340 memory: 26559 grad_norm: 1.6294 loss: 1.3000 grounding_loss_reg: 2.6792 detection_loss_cls: 0.0419 detection_loss_reg: 0.4168 caption_loss_cls: 2.1954 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7264 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:03:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 23:03:54 - mmengine - INFO - Iter(train) [353000/480000] base_lr: 3.4276e-05 lr: 1.0368e-05 eta: 3 days, 7:07:02 time: 2.2075 data_time: 0.1340 memory: 26559 grad_norm: 1.6339 loss: 1.3048 grounding_loss_reg: 2.6782 detection_loss_cls: 0.0419 detection_loss_reg: 0.4171 caption_loss_cls: 2.1934 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7274 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:03:54 - mmengine - INFO - Saving checkpoint at 353000 iterations 2023/10/31 23:08:57 - mmengine - INFO - Iter(train) [353100/480000] base_lr: 3.4229e-05 lr: 1.0356e-05 eta: 3 days, 7:09:10 time: 2.2141 data_time: 0.1344 memory: 26559 grad_norm: 1.6314 loss: 1.3019 grounding_loss_reg: 2.6758 detection_loss_cls: 0.0418 detection_loss_reg: 0.4164 caption_loss_cls: 2.1926 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7280 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:12:23 - mmengine - INFO - Iter(train) [353200/480000] base_lr: 3.4181e-05 lr: 1.0343e-05 eta: 3 days, 7:04:02 time: 2.2161 data_time: 0.1343 memory: 25719 grad_norm: 1.6301 loss: 1.2976 grounding_loss_reg: 2.6772 detection_loss_cls: 0.0418 detection_loss_reg: 0.4174 caption_loss_cls: 2.1921 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7265 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:16:02 - mmengine - INFO - Iter(train) [353300/480000] base_lr: 3.4133e-05 lr: 1.0331e-05 eta: 3 days, 6:59:53 time: 2.2183 data_time: 0.1343 memory: 25719 grad_norm: 1.6315 loss: 1.2943 grounding_loss_reg: 2.6750 detection_loss_cls: 0.0418 detection_loss_reg: 0.4174 caption_loss_cls: 2.1918 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7254 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:19:39 - mmengine - INFO - Iter(train) [353400/480000] base_lr: 3.4085e-05 lr: 1.0318e-05 eta: 3 days, 6:55:37 time: 2.2183 data_time: 0.1343 memory: 26559 grad_norm: 1.6262 loss: 1.2870 grounding_loss_reg: 2.6741 detection_loss_cls: 0.0418 detection_loss_reg: 0.4173 caption_loss_cls: 2.1919 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7244 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:23:37 - mmengine - INFO - Iter(train) [353500/480000] base_lr: 3.4037e-05 lr: 1.0306e-05 eta: 3 days, 6:52:51 time: 2.2199 data_time: 0.1342 memory: 25719 grad_norm: 1.6193 loss: 1.2853 grounding_loss_reg: 2.6743 detection_loss_cls: 0.0419 detection_loss_reg: 0.4183 caption_loss_cls: 2.1895 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7234 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:23:37 - mmengine - INFO - Saving checkpoint at 353500 iterations 2023/10/31 23:28:50 - mmengine - INFO - Iter(train) [353600/480000] base_lr: 3.3990e-05 lr: 1.0294e-05 eta: 3 days, 6:55:39 time: 2.2328 data_time: 0.1342 memory: 26559 grad_norm: 1.6200 loss: 1.2880 grounding_loss_reg: 2.6729 detection_loss_cls: 0.0418 detection_loss_reg: 0.4173 caption_loss_cls: 2.1862 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7227 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:32:17 - mmengine - INFO - Iter(train) [353700/480000] base_lr: 3.3942e-05 lr: 1.0281e-05 eta: 3 days, 6:50:35 time: 2.2329 data_time: 0.1342 memory: 26559 grad_norm: 1.6229 loss: 1.2910 grounding_loss_reg: 2.6749 detection_loss_cls: 0.0417 detection_loss_reg: 0.4165 caption_loss_cls: 2.1886 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7212 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:36:13 - mmengine - INFO - Iter(train) [353800/480000] base_lr: 3.3894e-05 lr: 1.0269e-05 eta: 3 days, 6:47:38 time: 2.2484 data_time: 0.1343 memory: 25719 grad_norm: 1.6258 loss: 1.2868 grounding_loss_reg: 2.6737 detection_loss_cls: 0.0418 detection_loss_reg: 0.4169 caption_loss_cls: 2.1864 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7211 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:39:47 - mmengine - INFO - Iter(train) [353900/480000] base_lr: 3.3847e-05 lr: 1.0257e-05 eta: 3 days, 6:43:08 time: 2.2562 data_time: 0.1340 memory: 25719 grad_norm: 1.6213 loss: 1.2844 grounding_loss_reg: 2.6726 detection_loss_cls: 0.0418 detection_loss_reg: 0.4166 caption_loss_cls: 2.1904 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7212 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:43:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/10/31 23:43:22 - mmengine - INFO - Iter(train) [354000/480000] base_lr: 3.3799e-05 lr: 1.0244e-05 eta: 3 days, 6:38:41 time: 2.2569 data_time: 0.1340 memory: 25719 grad_norm: 1.6136 loss: 1.2803 grounding_loss_reg: 2.6720 detection_loss_cls: 0.0419 detection_loss_reg: 0.4166 caption_loss_cls: 2.1905 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7203 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:43:22 - mmengine - INFO - Saving checkpoint at 354000 iterations 2023/10/31 23:48:05 - mmengine - INFO - Iter(train) [354100/480000] base_lr: 3.3752e-05 lr: 1.0232e-05 eta: 3 days, 6:39:05 time: 2.2748 data_time: 0.1495 memory: 26559 grad_norm: 1.6059 loss: 1.2765 grounding_loss_reg: 2.6719 detection_loss_cls: 0.0420 detection_loss_reg: 0.4171 caption_loss_cls: 2.1911 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7180 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:51:49 - mmengine - INFO - Iter(train) [354200/480000] base_lr: 3.3704e-05 lr: 1.0220e-05 eta: 3 days, 6:35:18 time: 2.2832 data_time: 0.1495 memory: 25719 grad_norm: 1.6074 loss: 1.2794 grounding_loss_reg: 2.6732 detection_loss_cls: 0.0421 detection_loss_reg: 0.4177 caption_loss_cls: 2.1901 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7187 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:55:15 - mmengine - INFO - Iter(train) [354300/480000] base_lr: 3.3657e-05 lr: 1.0207e-05 eta: 3 days, 6:30:13 time: 2.2873 data_time: 0.1496 memory: 25719 grad_norm: 1.6025 loss: 1.2792 grounding_loss_reg: 2.6737 detection_loss_cls: 0.0421 detection_loss_reg: 0.4164 caption_loss_cls: 2.1882 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.7187 semantic_segmentation_loss_cls: 0.0098 2023/10/31 23:59:08 - mmengine - INFO - Iter(train) [354400/480000] base_lr: 3.3609e-05 lr: 1.0195e-05 eta: 3 days, 6:27:01 time: 2.2927 data_time: 0.1495 memory: 26559 grad_norm: 1.5886 loss: 1.2700 grounding_loss_reg: 2.6722 detection_loss_cls: 0.0419 detection_loss_reg: 0.4165 caption_loss_cls: 2.1864 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.7194 semantic_segmentation_loss_cls: 0.0098 2023/11/01 00:02:20 - mmengine - INFO - Iter(train) [354500/480000] base_lr: 3.3562e-05 lr: 1.0183e-05 eta: 3 days, 6:20:56 time: 2.2905 data_time: 0.1495 memory: 25719 grad_norm: 1.5936 loss: 1.2703 grounding_loss_reg: 2.6723 detection_loss_cls: 0.0419 detection_loss_reg: 0.4162 caption_loss_cls: 2.1864 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7170 semantic_segmentation_loss_cls: 0.0098 2023/11/01 00:02:20 - mmengine - INFO - Saving checkpoint at 354500 iterations 2023/11/01 00:07:31 - mmengine - INFO - Iter(train) [354600/480000] base_lr: 3.3514e-05 lr: 1.0170e-05 eta: 3 days, 6:23:16 time: 2.2990 data_time: 0.1494 memory: 25719 grad_norm: 1.5870 loss: 1.2655 grounding_loss_reg: 2.6741 detection_loss_cls: 0.0419 detection_loss_reg: 0.4161 caption_loss_cls: 2.1856 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7159 semantic_segmentation_loss_cls: 0.0098 2023/11/01 00:10:51 - mmengine - INFO - Iter(train) [354700/480000] base_lr: 3.3467e-05 lr: 1.0158e-05 eta: 3 days, 6:17:47 time: 2.2946 data_time: 0.1493 memory: 25719 grad_norm: 1.5958 loss: 1.2677 grounding_loss_reg: 2.6752 detection_loss_cls: 0.0420 detection_loss_reg: 0.4159 caption_loss_cls: 2.1829 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7159 semantic_segmentation_loss_cls: 0.0098 2023/11/01 00:14:33 - mmengine - INFO - Iter(train) [354800/480000] base_lr: 3.3419e-05 lr: 1.0146e-05 eta: 3 days, 6:13:47 time: 2.2957 data_time: 0.1494 memory: 25719 grad_norm: 1.5904 loss: 1.2656 grounding_loss_reg: 2.6731 detection_loss_cls: 0.0419 detection_loss_reg: 0.4157 caption_loss_cls: 2.1824 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7165 semantic_segmentation_loss_cls: 0.0098 2023/11/01 00:18:10 - mmengine - INFO - Iter(train) [354900/480000] base_lr: 3.3372e-05 lr: 1.0134e-05 eta: 3 days, 6:09:32 time: 2.2992 data_time: 0.1494 memory: 25719 grad_norm: 1.5940 loss: 1.2661 grounding_loss_reg: 2.6708 detection_loss_cls: 0.0419 detection_loss_reg: 0.4155 caption_loss_cls: 2.1802 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7164 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:21:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 00:21:36 - mmengine - INFO - Iter(train) [355000/480000] base_lr: 3.3325e-05 lr: 1.0121e-05 eta: 3 days, 6:04:27 time: 2.2966 data_time: 0.1493 memory: 26559 grad_norm: 1.5954 loss: 1.2652 grounding_loss_reg: 2.6707 detection_loss_cls: 0.0419 detection_loss_reg: 0.4157 caption_loss_cls: 2.1840 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7156 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:21:36 - mmengine - INFO - Saving checkpoint at 355000 iterations 2023/11/01 00:25:58 - mmengine - INFO - Iter(train) [355100/480000] base_lr: 3.3278e-05 lr: 1.0109e-05 eta: 3 days, 6:03:13 time: 2.2918 data_time: 0.1494 memory: 26559 grad_norm: 1.6082 loss: 1.2664 grounding_loss_reg: 2.6700 detection_loss_cls: 0.0419 detection_loss_reg: 0.4158 caption_loss_cls: 2.1797 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7138 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:29:41 - mmengine - INFO - Iter(train) [355200/480000] base_lr: 3.3230e-05 lr: 1.0097e-05 eta: 3 days, 5:59:21 time: 2.3009 data_time: 0.1494 memory: 25719 grad_norm: 1.6044 loss: 1.2557 grounding_loss_reg: 2.6672 detection_loss_cls: 0.0421 detection_loss_reg: 0.4168 caption_loss_cls: 2.1793 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7133 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:33:05 - mmengine - INFO - Iter(train) [355300/480000] base_lr: 3.3183e-05 lr: 1.0085e-05 eta: 3 days, 5:54:09 time: 2.3022 data_time: 0.1494 memory: 25719 grad_norm: 1.5925 loss: 1.2506 grounding_loss_reg: 2.6667 detection_loss_cls: 0.0421 detection_loss_reg: 0.4156 caption_loss_cls: 2.1787 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7129 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:36:37 - mmengine - INFO - Iter(train) [355400/480000] base_lr: 3.3136e-05 lr: 1.0072e-05 eta: 3 days, 5:49:33 time: 2.3027 data_time: 0.1496 memory: 25719 grad_norm: 1.5891 loss: 1.2433 grounding_loss_reg: 2.6635 detection_loss_cls: 0.0420 detection_loss_reg: 0.4152 caption_loss_cls: 2.1762 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7128 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:39:57 - mmengine - INFO - Iter(train) [355500/480000] base_lr: 3.3089e-05 lr: 1.0060e-05 eta: 3 days, 5:44:07 time: 2.3022 data_time: 0.1496 memory: 25719 grad_norm: 1.5902 loss: 1.2402 grounding_loss_reg: 2.6631 detection_loss_cls: 0.0419 detection_loss_reg: 0.4146 caption_loss_cls: 2.1752 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:39:57 - mmengine - INFO - Saving checkpoint at 355500 iterations 2023/11/01 00:44:21 - mmengine - INFO - Iter(train) [355600/480000] base_lr: 3.3042e-05 lr: 1.0048e-05 eta: 3 days, 5:43:00 time: 2.2993 data_time: 0.1488 memory: 25719 grad_norm: 1.5957 loss: 1.2499 grounding_loss_reg: 2.6651 detection_loss_cls: 0.0421 detection_loss_reg: 0.4148 caption_loss_cls: 2.1778 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7119 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:48:08 - mmengine - INFO - Iter(train) [355700/480000] base_lr: 3.2995e-05 lr: 1.0036e-05 eta: 3 days, 5:39:21 time: 2.3018 data_time: 0.1488 memory: 26559 grad_norm: 1.5914 loss: 1.2528 grounding_loss_reg: 2.6623 detection_loss_cls: 0.0421 detection_loss_reg: 0.4149 caption_loss_cls: 2.1789 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7126 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:51:41 - mmengine - INFO - Iter(train) [355800/480000] base_lr: 3.2947e-05 lr: 1.0023e-05 eta: 3 days, 5:34:51 time: 2.3013 data_time: 0.1488 memory: 25719 grad_norm: 1.6002 loss: 1.2534 grounding_loss_reg: 2.6636 detection_loss_cls: 0.0420 detection_loss_reg: 0.4141 caption_loss_cls: 2.1790 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7127 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:55:15 - mmengine - INFO - Iter(train) [355900/480000] base_lr: 3.2900e-05 lr: 1.0011e-05 eta: 3 days, 5:30:19 time: 2.3008 data_time: 0.1488 memory: 26559 grad_norm: 1.6037 loss: 1.2547 grounding_loss_reg: 2.6638 detection_loss_cls: 0.0419 detection_loss_reg: 0.4142 caption_loss_cls: 2.1746 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7114 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:58:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 00:58:32 - mmengine - INFO - Iter(train) [356000/480000] base_lr: 3.2853e-05 lr: 9.9990e-06 eta: 3 days, 5:24:45 time: 2.2973 data_time: 0.1489 memory: 25719 grad_norm: 1.6091 loss: 1.2544 grounding_loss_reg: 2.6617 detection_loss_cls: 0.0419 detection_loss_reg: 0.4137 caption_loss_cls: 2.1747 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0097 2023/11/01 00:58:32 - mmengine - INFO - Saving checkpoint at 356000 iterations 2023/11/01 01:03:30 - mmengine - INFO - Iter(train) [356100/480000] base_lr: 3.2806e-05 lr: 9.9868e-06 eta: 3 days, 5:25:51 time: 2.2968 data_time: 0.1487 memory: 26559 grad_norm: 1.6012 loss: 1.2485 grounding_loss_reg: 2.6642 detection_loss_cls: 0.0419 detection_loss_reg: 0.4137 caption_loss_cls: 2.1776 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7116 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:06:55 - mmengine - INFO - Iter(train) [356200/480000] base_lr: 3.2759e-05 lr: 9.9747e-06 eta: 3 days, 5:20:47 time: 2.2971 data_time: 0.1489 memory: 25719 grad_norm: 1.6011 loss: 1.2476 grounding_loss_reg: 2.6624 detection_loss_cls: 0.0421 detection_loss_reg: 0.4150 caption_loss_cls: 2.1806 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:10:35 - mmengine - INFO - Iter(train) [356300/480000] base_lr: 3.2712e-05 lr: 9.9625e-06 eta: 3 days, 5:16:42 time: 2.2998 data_time: 0.1489 memory: 26559 grad_norm: 1.5925 loss: 1.2459 grounding_loss_reg: 2.6610 detection_loss_cls: 0.0424 detection_loss_reg: 0.4165 caption_loss_cls: 2.1823 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:14:24 - mmengine - INFO - Iter(train) [356400/480000] base_lr: 3.2666e-05 lr: 9.9503e-06 eta: 3 days, 5:13:12 time: 2.3005 data_time: 0.1489 memory: 25719 grad_norm: 1.5846 loss: 1.2435 grounding_loss_reg: 2.6619 detection_loss_cls: 0.0424 detection_loss_reg: 0.4174 caption_loss_cls: 2.1843 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7121 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:17:49 - mmengine - INFO - Iter(train) [356500/480000] base_lr: 3.2619e-05 lr: 9.9382e-06 eta: 3 days, 5:08:12 time: 2.2945 data_time: 0.1489 memory: 26559 grad_norm: 1.5912 loss: 1.2431 grounding_loss_reg: 2.6603 detection_loss_cls: 0.0423 detection_loss_reg: 0.4164 caption_loss_cls: 2.1863 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:17:49 - mmengine - INFO - Saving checkpoint at 356500 iterations 2023/11/01 01:22:52 - mmengine - INFO - Iter(train) [356600/480000] base_lr: 3.2572e-05 lr: 9.9260e-06 eta: 3 days, 5:09:30 time: 2.2941 data_time: 0.1489 memory: 25719 grad_norm: 1.5859 loss: 1.2406 grounding_loss_reg: 2.6610 detection_loss_cls: 0.0422 detection_loss_reg: 0.4160 caption_loss_cls: 2.1860 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7117 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:26:27 - mmengine - INFO - Iter(train) [356700/480000] base_lr: 3.2525e-05 lr: 9.9139e-06 eta: 3 days, 5:05:07 time: 2.2960 data_time: 0.1489 memory: 26559 grad_norm: 1.5886 loss: 1.2503 grounding_loss_reg: 2.6640 detection_loss_cls: 0.0423 detection_loss_reg: 0.4162 caption_loss_cls: 2.1884 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7129 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:30:13 - mmengine - INFO - Iter(train) [356800/480000] base_lr: 3.2478e-05 lr: 9.9018e-06 eta: 3 days, 5:01:23 time: 2.3015 data_time: 0.1490 memory: 26559 grad_norm: 1.5828 loss: 1.2550 grounding_loss_reg: 2.6644 detection_loss_cls: 0.0424 detection_loss_reg: 0.4172 caption_loss_cls: 2.1916 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7151 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:33:59 - mmengine - INFO - Iter(train) [356900/480000] base_lr: 3.2432e-05 lr: 9.8897e-06 eta: 3 days, 4:57:42 time: 2.3078 data_time: 0.1490 memory: 26559 grad_norm: 1.5752 loss: 1.2515 grounding_loss_reg: 2.6626 detection_loss_cls: 0.0424 detection_loss_reg: 0.4174 caption_loss_cls: 2.1919 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:37:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 01:37:45 - mmengine - INFO - Iter(train) [357000/480000] base_lr: 3.2385e-05 lr: 9.8775e-06 eta: 3 days, 4:54:00 time: 2.3071 data_time: 0.1490 memory: 26559 grad_norm: 1.5701 loss: 1.2470 grounding_loss_reg: 2.6616 detection_loss_cls: 0.0423 detection_loss_reg: 0.4164 caption_loss_cls: 2.1879 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7133 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:37:45 - mmengine - INFO - Saving checkpoint at 357000 iterations 2023/11/01 01:42:44 - mmengine - INFO - Iter(train) [357100/480000] base_lr: 3.2338e-05 lr: 9.8654e-06 eta: 3 days, 4:54:58 time: 2.3062 data_time: 0.1483 memory: 25719 grad_norm: 1.5673 loss: 1.2446 grounding_loss_reg: 2.6608 detection_loss_cls: 0.0424 detection_loss_reg: 0.4162 caption_loss_cls: 2.1891 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7131 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:46:20 - mmengine - INFO - Iter(train) [357200/480000] base_lr: 3.2291e-05 lr: 9.8533e-06 eta: 3 days, 4:50:39 time: 2.3088 data_time: 0.1484 memory: 25719 grad_norm: 1.5607 loss: 1.2430 grounding_loss_reg: 2.6628 detection_loss_cls: 0.0425 detection_loss_reg: 0.4168 caption_loss_cls: 2.1882 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7129 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:49:52 - mmengine - INFO - Iter(train) [357300/480000] base_lr: 3.2245e-05 lr: 9.8413e-06 eta: 3 days, 4:46:02 time: 2.3070 data_time: 0.1484 memory: 26559 grad_norm: 1.5622 loss: 1.2465 grounding_loss_reg: 2.6638 detection_loss_cls: 0.0426 detection_loss_reg: 0.4178 caption_loss_cls: 2.1880 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7126 semantic_segmentation_loss_cls: 0.0097 2023/11/01 01:53:47 - mmengine - INFO - Iter(train) [357400/480000] base_lr: 3.2198e-05 lr: 9.8292e-06 eta: 3 days, 4:42:54 time: 2.3114 data_time: 0.1485 memory: 25719 grad_norm: 1.5679 loss: 1.2452 grounding_loss_reg: 2.6596 detection_loss_cls: 0.0426 detection_loss_reg: 0.4190 caption_loss_cls: 2.1879 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7107 semantic_segmentation_loss_cls: 0.0096 2023/11/01 01:57:13 - mmengine - INFO - Iter(train) [357500/480000] base_lr: 3.2152e-05 lr: 9.8171e-06 eta: 3 days, 4:37:54 time: 2.3034 data_time: 0.1484 memory: 25719 grad_norm: 1.5776 loss: 1.2504 grounding_loss_reg: 2.6576 detection_loss_cls: 0.0427 detection_loss_reg: 0.4195 caption_loss_cls: 2.1872 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0096 2023/11/01 01:57:13 - mmengine - INFO - Saving checkpoint at 357500 iterations 2023/11/01 02:01:39 - mmengine - INFO - Iter(train) [357600/480000] base_lr: 3.2105e-05 lr: 9.8050e-06 eta: 3 days, 4:36:44 time: 2.2916 data_time: 0.1483 memory: 26559 grad_norm: 1.5787 loss: 1.2512 grounding_loss_reg: 2.6557 detection_loss_cls: 0.0427 detection_loss_reg: 0.4199 caption_loss_cls: 2.1867 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7103 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:05:00 - mmengine - INFO - Iter(train) [357700/480000] base_lr: 3.2059e-05 lr: 9.7930e-06 eta: 3 days, 4:31:27 time: 2.2902 data_time: 0.1483 memory: 26559 grad_norm: 1.5849 loss: 1.2505 grounding_loss_reg: 2.6559 detection_loss_cls: 0.0427 detection_loss_reg: 0.4207 caption_loss_cls: 2.1891 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7114 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:08:39 - mmengine - INFO - Iter(train) [357800/480000] base_lr: 3.2012e-05 lr: 9.7809e-06 eta: 3 days, 4:27:17 time: 2.2859 data_time: 0.1484 memory: 26559 grad_norm: 1.5799 loss: 1.2509 grounding_loss_reg: 2.6556 detection_loss_cls: 0.0429 detection_loss_reg: 0.4210 caption_loss_cls: 2.1875 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7106 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:12:27 - mmengine - INFO - Iter(train) [357900/480000] base_lr: 3.1966e-05 lr: 9.7689e-06 eta: 3 days, 4:23:41 time: 2.2892 data_time: 0.1484 memory: 26559 grad_norm: 1.5813 loss: 1.2492 grounding_loss_reg: 2.6554 detection_loss_cls: 0.0429 detection_loss_reg: 0.4215 caption_loss_cls: 2.1868 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:16:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 02:16:27 - mmengine - INFO - Iter(train) [358000/480000] base_lr: 3.1919e-05 lr: 9.7568e-06 eta: 3 days, 4:20:52 time: 2.2956 data_time: 0.1484 memory: 26559 grad_norm: 1.5648 loss: 1.2423 grounding_loss_reg: 2.6558 detection_loss_cls: 0.0428 detection_loss_reg: 0.4209 caption_loss_cls: 2.1878 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7114 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:16:27 - mmengine - INFO - Saving checkpoint at 358000 iterations 2023/11/01 02:21:11 - mmengine - INFO - Iter(train) [358100/480000] base_lr: 3.1873e-05 lr: 9.7448e-06 eta: 3 days, 4:20:42 time: 2.2960 data_time: 0.1482 memory: 26559 grad_norm: 1.5751 loss: 1.2465 grounding_loss_reg: 2.6539 detection_loss_cls: 0.0429 detection_loss_reg: 0.4216 caption_loss_cls: 2.1851 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:25:10 - mmengine - INFO - Iter(train) [358200/480000] base_lr: 3.1826e-05 lr: 9.7328e-06 eta: 3 days, 4:17:46 time: 2.2996 data_time: 0.1481 memory: 26559 grad_norm: 1.5685 loss: 1.2410 grounding_loss_reg: 2.6553 detection_loss_cls: 0.0428 detection_loss_reg: 0.4224 caption_loss_cls: 2.1840 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7117 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:28:44 - mmengine - INFO - Iter(train) [358300/480000] base_lr: 3.1780e-05 lr: 9.7208e-06 eta: 3 days, 4:13:16 time: 2.3014 data_time: 0.1482 memory: 25719 grad_norm: 1.5669 loss: 1.2398 grounding_loss_reg: 2.6567 detection_loss_cls: 0.0428 detection_loss_reg: 0.4224 caption_loss_cls: 2.1829 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7116 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:32:12 - mmengine - INFO - Iter(train) [358400/480000] base_lr: 3.1734e-05 lr: 9.7088e-06 eta: 3 days, 4:08:29 time: 2.2954 data_time: 0.1481 memory: 25719 grad_norm: 1.5761 loss: 1.2514 grounding_loss_reg: 2.6546 detection_loss_cls: 0.0430 detection_loss_reg: 0.4229 caption_loss_cls: 2.1853 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:35:26 - mmengine - INFO - Iter(train) [358500/480000] base_lr: 3.1688e-05 lr: 9.6968e-06 eta: 3 days, 4:02:48 time: 2.2959 data_time: 0.1482 memory: 26559 grad_norm: 1.5817 loss: 1.2509 grounding_loss_reg: 2.6533 detection_loss_cls: 0.0431 detection_loss_reg: 0.4231 caption_loss_cls: 2.1824 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7131 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:35:26 - mmengine - INFO - Saving checkpoint at 358500 iterations 2023/11/01 02:40:25 - mmengine - INFO - Iter(train) [358600/480000] base_lr: 3.1641e-05 lr: 9.6848e-06 eta: 3 days, 4:03:29 time: 2.2929 data_time: 0.1476 memory: 25719 grad_norm: 1.5756 loss: 1.2514 grounding_loss_reg: 2.6547 detection_loss_cls: 0.0431 detection_loss_reg: 0.4229 caption_loss_cls: 2.1812 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7143 semantic_segmentation_loss_cls: 0.0096 2023/11/01 02:44:03 - mmengine - INFO - Iter(train) [358700/480000] base_lr: 3.1595e-05 lr: 9.6728e-06 eta: 3 days, 3:59:15 time: 2.2972 data_time: 0.1478 memory: 26559 grad_norm: 1.5631 loss: 1.2515 grounding_loss_reg: 2.6540 detection_loss_cls: 0.0430 detection_loss_reg: 0.4224 caption_loss_cls: 2.1818 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:47:28 - mmengine - INFO - Iter(train) [358800/480000] base_lr: 3.1549e-05 lr: 9.6608e-06 eta: 3 days, 3:54:17 time: 2.2932 data_time: 0.1477 memory: 25719 grad_norm: 1.5707 loss: 1.2518 grounding_loss_reg: 2.6527 detection_loss_cls: 0.0430 detection_loss_reg: 0.4219 caption_loss_cls: 2.1808 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7142 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:50:41 - mmengine - INFO - Iter(train) [358900/480000] base_lr: 3.1503e-05 lr: 9.6488e-06 eta: 3 days, 3:48:34 time: 2.2869 data_time: 0.1477 memory: 25719 grad_norm: 1.5704 loss: 1.2489 grounding_loss_reg: 2.6534 detection_loss_cls: 0.0429 detection_loss_reg: 0.4221 caption_loss_cls: 2.1796 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.7145 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:54:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 02:54:19 - mmengine - INFO - Iter(train) [359000/480000] base_lr: 3.1457e-05 lr: 9.6369e-06 eta: 3 days, 3:44:23 time: 2.2900 data_time: 0.1477 memory: 26559 grad_norm: 1.5729 loss: 1.2482 grounding_loss_reg: 2.6520 detection_loss_cls: 0.0430 detection_loss_reg: 0.4226 caption_loss_cls: 2.1737 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.7138 semantic_segmentation_loss_cls: 0.0097 2023/11/01 02:54:19 - mmengine - INFO - Saving checkpoint at 359000 iterations 2023/11/01 02:59:51 - mmengine - INFO - Iter(train) [359100/480000] base_lr: 3.1410e-05 lr: 9.6249e-06 eta: 3 days, 3:46:57 time: 2.3078 data_time: 0.1482 memory: 25719 grad_norm: 1.5614 loss: 1.2432 grounding_loss_reg: 2.6524 detection_loss_cls: 0.0432 detection_loss_reg: 0.4232 caption_loss_cls: 2.1695 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7129 semantic_segmentation_loss_cls: 0.0096 2023/11/01 03:02:56 - mmengine - INFO - Iter(train) [359200/480000] base_lr: 3.1364e-05 lr: 9.6130e-06 eta: 3 days, 3:40:45 time: 2.2980 data_time: 0.1482 memory: 25719 grad_norm: 1.5601 loss: 1.2451 grounding_loss_reg: 2.6530 detection_loss_cls: 0.0431 detection_loss_reg: 0.4224 caption_loss_cls: 2.1678 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0096 2023/11/01 03:06:36 - mmengine - INFO - Iter(train) [359300/480000] base_lr: 3.1318e-05 lr: 9.6011e-06 eta: 3 days, 3:36:42 time: 2.3022 data_time: 0.1482 memory: 25719 grad_norm: 1.5678 loss: 1.2497 grounding_loss_reg: 2.6522 detection_loss_cls: 0.0431 detection_loss_reg: 0.4220 caption_loss_cls: 2.1665 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7120 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:10:08 - mmengine - INFO - Iter(train) [359400/480000] base_lr: 3.1272e-05 lr: 9.5891e-06 eta: 3 days, 3:32:07 time: 2.3019 data_time: 0.1480 memory: 26559 grad_norm: 1.5658 loss: 1.2519 grounding_loss_reg: 2.6535 detection_loss_cls: 0.0432 detection_loss_reg: 0.4223 caption_loss_cls: 2.1652 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7117 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:13:40 - mmengine - INFO - Iter(train) [359500/480000] base_lr: 3.1226e-05 lr: 9.5772e-06 eta: 3 days, 3:27:37 time: 2.3051 data_time: 0.1480 memory: 26559 grad_norm: 1.5705 loss: 1.2551 grounding_loss_reg: 2.6531 detection_loss_cls: 0.0432 detection_loss_reg: 0.4228 caption_loss_cls: 2.1685 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7119 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:13:40 - mmengine - INFO - Saving checkpoint at 359500 iterations 2023/11/01 03:18:22 - mmengine - INFO - Iter(train) [359600/480000] base_lr: 3.1180e-05 lr: 9.5653e-06 eta: 3 days, 3:27:07 time: 2.3096 data_time: 0.1484 memory: 26559 grad_norm: 1.5704 loss: 1.2480 grounding_loss_reg: 2.6542 detection_loss_cls: 0.0434 detection_loss_reg: 0.4236 caption_loss_cls: 2.1714 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7119 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:22:02 - mmengine - INFO - Iter(train) [359700/480000] base_lr: 3.1134e-05 lr: 9.5534e-06 eta: 3 days, 3:23:01 time: 2.3080 data_time: 0.1484 memory: 25719 grad_norm: 1.5687 loss: 1.2395 grounding_loss_reg: 2.6550 detection_loss_cls: 0.0432 detection_loss_reg: 0.4224 caption_loss_cls: 2.1693 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7107 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:25:25 - mmengine - INFO - Iter(train) [359800/480000] base_lr: 3.1089e-05 lr: 9.5415e-06 eta: 3 days, 3:17:57 time: 2.3052 data_time: 0.1483 memory: 26559 grad_norm: 1.5631 loss: 1.2321 grounding_loss_reg: 2.6534 detection_loss_cls: 0.0431 detection_loss_reg: 0.4210 caption_loss_cls: 2.1685 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7104 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:29:16 - mmengine - INFO - Iter(train) [359900/480000] base_lr: 3.1043e-05 lr: 9.5296e-06 eta: 3 days, 3:14:29 time: 2.3096 data_time: 0.1483 memory: 25719 grad_norm: 1.5683 loss: 1.2346 grounding_loss_reg: 2.6554 detection_loss_cls: 0.0431 detection_loss_reg: 0.4213 caption_loss_cls: 2.1672 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7082 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:32:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 03:32:51 - mmengine - INFO - Iter(train) [360000/480000] base_lr: 3.0997e-05 lr: 9.5177e-06 eta: 3 days, 3:10:09 time: 2.3140 data_time: 0.1483 memory: 26559 grad_norm: 1.5644 loss: 1.2324 grounding_loss_reg: 2.6556 detection_loss_cls: 0.0430 detection_loss_reg: 0.4213 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7077 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:32:51 - mmengine - INFO - Saving checkpoint at 360000 iterations 2023/11/01 03:38:53 - mmengine - INFO - Evaluating bbox... 2023/11/01 03:39:56 - mmengine - INFO - bbox_mAP_copypaste: 0.521 0.699 0.569 0.377 0.568 0.672 2023/11/01 03:39:56 - mmengine - INFO - Evaluating segm... 2023/11/01 03:41:11 - mmengine - INFO - segm_mAP_copypaste: 0.347 0.610 0.346 0.215 0.396 0.533 2023/11/01 03:42:36 - mmengine - INFO - Evaluating bbox... 2023/11/01 03:43:41 - mmengine - INFO - bbox_mAP_copypaste: 0.522 0.701 0.571 0.378 0.569 0.674 2023/11/01 03:46:47 - mmengine - INFO - per class results: 2023/11/01 03:46:47 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.55 | 89.5 | | building | 83.33 | 91.77 | | sky | 93.14 | 97.66 | | floor | 82.85 | 89.37 | | tree | 74.16 | 87.87 | | ceiling | 85.01 | 93.47 | | road | 84.76 | 89.04 | | bed | 89.79 | 95.39 | | windowpane | 62.61 | 81.44 | | grass | 66.0 | 76.38 | | cabinet | 63.62 | 73.13 | | sidewalk | 68.58 | 83.4 | | person | 81.27 | 92.41 | | earth | 44.42 | 60.16 | | door | 52.83 | 67.37 | | table | 65.5 | 80.08 | | mountain | 63.05 | 80.11 | | plant | 53.48 | 62.22 | | curtain | 75.23 | 86.99 | | chair | 59.18 | 72.44 | | car | 83.35 | 92.44 | | water | 64.42 | 80.26 | | painting | 72.71 | 85.84 | | sofa | 72.19 | 88.85 | | shelf | 45.93 | 66.44 | | house | 41.0 | 57.79 | | sea | 69.58 | 84.98 | | mirror | 68.06 | 77.21 | | rug | 70.1 | 82.46 | | field | 29.54 | 54.09 | | armchair | 46.96 | 62.29 | | seat | 65.61 | 78.56 | | fence | 43.57 | 62.56 | | desk | 55.78 | 75.51 | | rock | 46.69 | 61.77 | | wardrobe | 49.52 | 62.62 | | lamp | 61.27 | 75.65 | | bathtub | 73.45 | 74.36 | | railing | 36.04 | 51.94 | | cushion | 59.98 | 77.58 | | base | 25.83 | 38.61 | | box | 30.73 | 39.6 | | column | 48.15 | 61.45 | | signboard | 36.11 | 45.53 | | chest of drawers | 42.99 | 65.96 | | counter | 22.6 | 29.28 | | sand | 54.15 | 74.45 | | sink | 73.84 | 84.92 | | skyscraper | 52.2 | 60.33 | | fireplace | 70.43 | 82.97 | | refrigerator | 76.75 | 90.23 | | grandstand | 42.3 | 79.24 | | path | 28.8 | 47.01 | | stairs | 36.95 | 53.14 | | runway | 74.66 | 93.87 | | case | 45.45 | 58.05 | | pool table | 88.5 | 95.75 | | pillow | 51.35 | 59.2 | | screen door | 69.27 | 75.35 | | stairway | 30.81 | 37.99 | | river | 17.24 | 27.37 | | bridge | 67.99 | 81.66 | | bookcase | 38.17 | 59.35 | | blind | 41.82 | 47.07 | | coffee table | 61.74 | 76.61 | | toilet | 87.41 | 92.6 | | flower | 31.98 | 47.09 | | book | 45.4 | 64.87 | | hill | 12.21 | 17.65 | | bench | 56.75 | 74.94 | | countertop | 64.22 | 80.16 | | stove | 73.89 | 87.48 | | palm | 49.21 | 71.88 | | kitchen island | 44.4 | 83.59 | | computer | 70.35 | 81.1 | | swivel chair | 44.54 | 56.13 | | boat | 59.7 | 74.98 | | bar | 50.5 | 68.77 | | arcade machine | 72.46 | 75.65 | | hovel | 31.23 | 34.09 | | bus | 92.85 | 95.6 | | towel | 59.38 | 83.91 | | light | 49.1 | 57.44 | | truck | 44.21 | 65.19 | | tower | 43.94 | 69.83 | | chandelier | 60.57 | 75.65 | | awning | 28.74 | 33.68 | | streetlight | 33.1 | 41.46 | | booth | 35.59 | 42.0 | | television receiver | 69.97 | 82.37 | | airplane | 61.29 | 70.14 | | dirt track | 2.6 | 10.45 | | apparel | 39.03 | 55.49 | | pole | 30.85 | 46.46 | | land | 1.27 | 1.54 | | bannister | 14.51 | 26.24 | | escalator | 27.14 | 31.12 | | ottoman | 52.25 | 71.07 | | bottle | 35.81 | 49.07 | | buffet | 42.52 | 51.0 | | poster | 29.84 | 43.33 | | stage | 9.76 | 17.71 | | van | 46.01 | 54.55 | | ship | 76.64 | 91.27 | | fountain | 31.37 | 32.67 | | conveyer belt | 68.39 | 89.45 | | canopy | 23.42 | 27.76 | | washer | 72.77 | 74.15 | | plaything | 22.46 | 26.39 | | swimming pool | 71.38 | 72.43 | | stool | 49.32 | 67.48 | | barrel | 55.03 | 64.96 | | basket | 32.4 | 46.49 | | waterfall | 64.71 | 73.23 | | tent | 89.31 | 96.98 | | bag | 21.73 | 27.99 | | minibike | 73.75 | 87.86 | | cradle | 76.11 | 91.77 | | oven | 32.22 | 35.22 | | ball | 47.65 | 59.32 | | food | 50.68 | 61.58 | | step | 10.97 | 13.08 | | tank | 40.85 | 58.58 | | trade name | 29.57 | 36.87 | | microwave | 89.24 | 95.05 | | pot | 51.68 | 58.22 | | animal | 67.28 | 71.68 | | bicycle | 60.14 | 77.9 | | lake | 53.73 | 62.08 | | dishwasher | 69.73 | 73.29 | | screen | 65.02 | 87.2 | | blanket | 14.22 | 15.98 | | sculpture | 68.45 | 84.01 | | hood | 56.51 | 69.19 | | sconce | 41.87 | 51.65 | | vase | 43.9 | 60.99 | | traffic light | 37.19 | 52.0 | | tray | 14.6 | 25.72 | | ashcan | 38.96 | 55.6 | | fan | 59.83 | 73.52 | | pier | 31.33 | 33.12 | | crt screen | 7.27 | 12.12 | | plate | 56.81 | 75.08 | | monitor | 20.25 | 26.63 | | bulletin board | 53.03 | 63.29 | | shower | 3.65 | 6.1 | | radiator | 58.14 | 67.73 | | glass | 17.34 | 18.8 | | clock | 28.15 | 34.47 | | flag | 62.88 | 72.52 | +---------------------+-------+-------+ 2023/11/01 03:47:10 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.1773 data_time: 0.0239 memory: 27834 2023/11/01 03:47:31 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5220 coco/bbox_mAP_50: 0.7010 coco/bbox_mAP_75: 0.5710 coco/bbox_mAP_s: 0.3780 coco/bbox_mAP_m: 0.5690 coco/bbox_mAP_l: 0.6740 coco/segm_mAP: 0.3470 coco/segm_mAP_50: 0.6100 coco/segm_mAP_75: 0.3460 coco/segm_mAP_s: 0.2150 coco/segm_mAP_m: 0.3960 coco/segm_mAP_l: 0.5330 Bleu_1: 0.7705 Bleu_2: 0.6043 Bleu_3: 0.4635 Bleu_4: 0.3518 METEOR: 0.2836 ROUGE_L: 0.5726 CIDEr: 1.1774 SPICE: 0.2147 aAcc: 84.0300 mIoU: 51.5200 mAcc: 63.4300 visual-grounding/miou: 0.8052 visual-grounding/acc: 0.8759 data_time: 0.0014 time: 0.2334 2023/11/01 03:51:03 - mmengine - INFO - Iter(train) [360100/480000] base_lr: 3.0951e-05 lr: 9.5058e-06 eta: 3 days, 3:05:53 time: 2.2938 data_time: 0.1327 memory: 26559 grad_norm: 1.5699 loss: 1.2321 grounding_loss_reg: 2.6551 detection_loss_cls: 0.0430 detection_loss_reg: 0.4216 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7071 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:54:34 - mmengine - INFO - Iter(train) [360200/480000] base_lr: 3.0905e-05 lr: 9.4940e-06 eta: 3 days, 3:01:19 time: 2.2954 data_time: 0.1325 memory: 26559 grad_norm: 1.5764 loss: 1.2335 grounding_loss_reg: 2.6572 detection_loss_cls: 0.0429 detection_loss_reg: 0.4216 caption_loss_cls: 2.1657 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7068 semantic_segmentation_loss_cls: 0.0097 2023/11/01 03:58:20 - mmengine - INFO - Iter(train) [360300/480000] base_lr: 3.0860e-05 lr: 9.4821e-06 eta: 3 days, 2:57:34 time: 2.2968 data_time: 0.1325 memory: 25719 grad_norm: 1.5888 loss: 1.2323 grounding_loss_reg: 2.6564 detection_loss_cls: 0.0429 detection_loss_reg: 0.4222 caption_loss_cls: 2.1631 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7076 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:02:11 - mmengine - INFO - Iter(train) [360400/480000] base_lr: 3.0814e-05 lr: 9.4703e-06 eta: 3 days, 2:54:09 time: 2.2975 data_time: 0.1325 memory: 26559 grad_norm: 1.5931 loss: 1.2359 grounding_loss_reg: 2.6550 detection_loss_cls: 0.0428 detection_loss_reg: 0.4216 caption_loss_cls: 2.1645 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:05:58 - mmengine - INFO - Iter(train) [360500/480000] base_lr: 3.0768e-05 lr: 9.4584e-06 eta: 3 days, 2:50:28 time: 2.3027 data_time: 0.1326 memory: 26559 grad_norm: 1.5884 loss: 1.2347 grounding_loss_reg: 2.6546 detection_loss_cls: 0.0428 detection_loss_reg: 0.4221 caption_loss_cls: 2.1677 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7084 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:05:58 - mmengine - INFO - Saving checkpoint at 360500 iterations 2023/11/01 04:10:27 - mmengine - INFO - Iter(train) [360600/480000] base_lr: 3.0723e-05 lr: 9.4466e-06 eta: 3 days, 2:49:07 time: 2.2943 data_time: 0.1324 memory: 26559 grad_norm: 1.6014 loss: 1.2471 grounding_loss_reg: 2.6556 detection_loss_cls: 0.0428 detection_loss_reg: 0.4222 caption_loss_cls: 2.1714 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7095 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:13:30 - mmengine - INFO - Iter(train) [360700/480000] base_lr: 3.0677e-05 lr: 9.4348e-06 eta: 3 days, 2:43:00 time: 2.2863 data_time: 0.1323 memory: 25719 grad_norm: 1.6139 loss: 1.2454 grounding_loss_reg: 2.6556 detection_loss_cls: 0.0428 detection_loss_reg: 0.4223 caption_loss_cls: 2.1746 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7099 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:16:46 - mmengine - INFO - Iter(train) [360800/480000] base_lr: 3.0631e-05 lr: 9.4229e-06 eta: 3 days, 2:37:35 time: 2.2788 data_time: 0.1323 memory: 25719 grad_norm: 1.6243 loss: 1.2445 grounding_loss_reg: 2.6560 detection_loss_cls: 0.0428 detection_loss_reg: 0.4223 caption_loss_cls: 2.1701 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7085 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:20:40 - mmengine - INFO - Iter(train) [360900/480000] base_lr: 3.0586e-05 lr: 9.4111e-06 eta: 3 days, 2:34:18 time: 2.2808 data_time: 0.1323 memory: 26559 grad_norm: 1.6261 loss: 1.2424 grounding_loss_reg: 2.6552 detection_loss_cls: 0.0426 detection_loss_reg: 0.4221 caption_loss_cls: 2.1700 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7088 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:24:15 - mmengine - INFO - Exp name: univision_joint_all_huge_20231031_042606 2023/11/01 04:24:15 - mmengine - INFO - Iter(train) [361000/480000] base_lr: 3.0540e-05 lr: 9.3993e-06 eta: 3 days, 2:30:00 time: 2.2782 data_time: 0.1323 memory: 25719 grad_norm: 1.6338 loss: 1.2481 grounding_loss_reg: 2.6551 detection_loss_cls: 0.0426 detection_loss_reg: 0.4225 caption_loss_cls: 2.1709 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7085 semantic_segmentation_loss_cls: 0.0097 2023/11/01 04:24:15 - mmengine - INFO - Saving checkpoint at 361000 iterations 2023/11/01 09:30:17 - mmengine - INFO - Iter(train) [361100/480000] base_lr: 3.0495e-05 lr: 9.3875e-06 eta: 1 day, 18:15:21 time: 2.2354 data_time: 0.1157 memory: 26631 grad_norm: 1.6439 loss: 1.2526 grounding_loss_reg: 2.6546 detection_loss_cls: 0.0426 detection_loss_reg: 0.4225 caption_loss_cls: 2.1668 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7104 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:32:41 - mmengine - INFO - Iter(train) [361200/480000] base_lr: 3.0449e-05 lr: 9.3757e-06 eta: 1 day, 20:45:24 time: 2.2171 data_time: 0.1157 memory: 25792 grad_norm: 1.6462 loss: 1.2516 grounding_loss_reg: 2.6574 detection_loss_cls: 0.0427 detection_loss_reg: 0.4221 caption_loss_cls: 2.1667 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7100 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:35:14 - mmengine - INFO - Iter(train) [361300/480000] base_lr: 3.0404e-05 lr: 9.3639e-06 eta: 1 day, 22:42:35 time: 2.2026 data_time: 0.1157 memory: 25792 grad_norm: 1.6494 loss: 1.2551 grounding_loss_reg: 2.6541 detection_loss_cls: 0.0427 detection_loss_reg: 0.4224 caption_loss_cls: 2.1684 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7119 semantic_segmentation_loss_cls: 0.0098 2023/11/01 09:38:03 - mmengine - INFO - Iter(train) [361400/480000] base_lr: 3.0358e-05 lr: 9.3522e-06 eta: 2 days, 0:55:31 time: 2.1861 data_time: 0.1157 memory: 25792 grad_norm: 1.6459 loss: 1.2527 grounding_loss_reg: 2.6516 detection_loss_cls: 0.0427 detection_loss_reg: 0.4222 caption_loss_cls: 2.1660 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7100 semantic_segmentation_loss_cls: 0.0098 2023/11/01 09:41:00 - mmengine - INFO - Iter(train) [361500/480000] base_lr: 3.0313e-05 lr: 9.3404e-06 eta: 2 days, 2:42:41 time: 2.1788 data_time: 0.1156 memory: 25792 grad_norm: 1.6423 loss: 1.2471 grounding_loss_reg: 2.6513 detection_loss_cls: 0.0427 detection_loss_reg: 0.4223 caption_loss_cls: 2.1677 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7089 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:41:00 - mmengine - INFO - Saving checkpoint at 361500 iterations 2023/11/01 09:44:39 - mmengine - INFO - Iter(train) [361600/480000] base_lr: 3.0268e-05 lr: 9.3287e-06 eta: 2 days, 6:14:04 time: 2.1670 data_time: 0.1151 memory: 25792 grad_norm: 1.6483 loss: 1.2494 grounding_loss_reg: 2.6512 detection_loss_cls: 0.0425 detection_loss_reg: 0.4214 caption_loss_cls: 2.1700 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7086 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:47:36 - mmengine - INFO - Iter(train) [361700/480000] base_lr: 3.0222e-05 lr: 9.3169e-06 eta: 2 days, 6:44:41 time: 2.1610 data_time: 0.1151 memory: 25792 grad_norm: 1.6427 loss: 1.2449 grounding_loss_reg: 2.6533 detection_loss_cls: 0.0424 detection_loss_reg: 0.4199 caption_loss_cls: 2.1723 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7088 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:50:48 - mmengine - INFO - Iter(train) [361800/480000] base_lr: 3.0177e-05 lr: 9.3052e-06 eta: 2 days, 7:43:36 time: 2.1542 data_time: 0.1153 memory: 25792 grad_norm: 1.6464 loss: 1.2494 grounding_loss_reg: 2.6517 detection_loss_cls: 0.0421 detection_loss_reg: 0.4195 caption_loss_cls: 2.1728 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7096 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:53:37 - mmengine - INFO - Iter(train) [361900/480000] base_lr: 3.0132e-05 lr: 9.2934e-06 eta: 2 days, 7:40:41 time: 2.1397 data_time: 0.1152 memory: 26631 grad_norm: 1.6390 loss: 1.2495 grounding_loss_reg: 2.6511 detection_loss_cls: 0.0420 detection_loss_reg: 0.4186 caption_loss_cls: 2.1733 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:56:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 09:56:37 - mmengine - INFO - Iter(train) [362000/480000] base_lr: 3.0087e-05 lr: 9.2817e-06 eta: 2 days, 7:57:03 time: 2.1245 data_time: 0.1153 memory: 26631 grad_norm: 1.6589 loss: 1.2587 grounding_loss_reg: 2.6505 detection_loss_cls: 0.0420 detection_loss_reg: 0.4179 caption_loss_cls: 2.1733 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7109 semantic_segmentation_loss_cls: 0.0097 2023/11/01 09:56:37 - mmengine - INFO - Saving checkpoint at 362000 iterations 2023/11/01 10:00:39 - mmengine - INFO - Iter(train) [362100/480000] base_lr: 3.0041e-05 lr: 9.2700e-06 eta: 2 days, 10:02:02 time: 2.1141 data_time: 0.1142 memory: 26631 grad_norm: 1.6515 loss: 1.2559 grounding_loss_reg: 2.6495 detection_loss_cls: 0.0422 detection_loss_reg: 0.4182 caption_loss_cls: 2.1755 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7106 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:03:45 - mmengine - INFO - Iter(train) [362200/480000] base_lr: 2.9996e-05 lr: 9.2583e-06 eta: 2 days, 10:13:01 time: 2.1008 data_time: 0.1142 memory: 25792 grad_norm: 1.6548 loss: 1.2559 grounding_loss_reg: 2.6491 detection_loss_cls: 0.0420 detection_loss_reg: 0.4174 caption_loss_cls: 2.1784 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:07:02 - mmengine - INFO - Iter(train) [362300/480000] base_lr: 2.9951e-05 lr: 9.2466e-06 eta: 2 days, 10:39:30 time: 2.0968 data_time: 0.1142 memory: 25792 grad_norm: 1.6475 loss: 1.2502 grounding_loss_reg: 2.6483 detection_loss_cls: 0.0420 detection_loss_reg: 0.4175 caption_loss_cls: 2.1763 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7121 semantic_segmentation_loss_cls: 0.0098 2023/11/01 10:11:10 - mmengine - INFO - Iter(train) [362400/480000] base_lr: 2.9906e-05 lr: 9.2349e-06 eta: 2 days, 12:11:17 time: 2.1065 data_time: 0.1144 memory: 25792 grad_norm: 1.6517 loss: 1.2456 grounding_loss_reg: 2.6507 detection_loss_cls: 0.0421 detection_loss_reg: 0.4180 caption_loss_cls: 2.1766 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7115 semantic_segmentation_loss_cls: 0.0098 2023/11/01 10:15:48 - mmengine - INFO - Iter(train) [362500/480000] base_lr: 2.9861e-05 lr: 9.2232e-06 eta: 2 days, 14:10:20 time: 2.1275 data_time: 0.1151 memory: 25792 grad_norm: 1.6461 loss: 1.2446 grounding_loss_reg: 2.6510 detection_loss_cls: 0.0419 detection_loss_reg: 0.4172 caption_loss_cls: 2.1771 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0098 2023/11/01 10:15:48 - mmengine - INFO - Saving checkpoint at 362500 iterations 2023/11/01 10:20:21 - mmengine - INFO - Iter(train) [362600/480000] base_lr: 2.9816e-05 lr: 9.2115e-06 eta: 2 days, 15:48:56 time: 2.1212 data_time: 0.1143 memory: 25792 grad_norm: 1.6512 loss: 1.2433 grounding_loss_reg: 2.6503 detection_loss_cls: 0.0420 detection_loss_reg: 0.4173 caption_loss_cls: 2.1776 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7106 semantic_segmentation_loss_cls: 0.0098 2023/11/01 10:23:36 - mmengine - INFO - Iter(train) [362700/480000] base_lr: 2.9771e-05 lr: 9.1998e-06 eta: 2 days, 15:44:22 time: 2.1154 data_time: 0.1141 memory: 26631 grad_norm: 1.6545 loss: 1.2398 grounding_loss_reg: 2.6523 detection_loss_cls: 0.0420 detection_loss_reg: 0.4172 caption_loss_cls: 2.1741 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7112 semantic_segmentation_loss_cls: 0.0098 2023/11/01 10:27:08 - mmengine - INFO - Iter(train) [362800/480000] base_lr: 2.9726e-05 lr: 9.1882e-06 eta: 2 days, 15:58:57 time: 2.1171 data_time: 0.1142 memory: 25792 grad_norm: 1.6528 loss: 1.2441 grounding_loss_reg: 2.6523 detection_loss_cls: 0.0419 detection_loss_reg: 0.4177 caption_loss_cls: 2.1744 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0098 2023/11/01 10:30:56 - mmengine - INFO - Iter(train) [362900/480000] base_lr: 2.9681e-05 lr: 9.1765e-06 eta: 2 days, 16:27:56 time: 2.1259 data_time: 0.1143 memory: 25792 grad_norm: 1.6507 loss: 1.2428 grounding_loss_reg: 2.6524 detection_loss_cls: 0.0417 detection_loss_reg: 0.4165 caption_loss_cls: 2.1759 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7133 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:34:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 10:34:34 - mmengine - INFO - Iter(train) [363000/480000] base_lr: 2.9636e-05 lr: 9.1649e-06 eta: 2 days, 16:43:41 time: 2.1258 data_time: 0.1143 memory: 25792 grad_norm: 1.6663 loss: 1.2456 grounding_loss_reg: 2.6525 detection_loss_cls: 0.0417 detection_loss_reg: 0.4159 caption_loss_cls: 2.1750 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7131 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:34:34 - mmengine - INFO - Saving checkpoint at 363000 iterations 2023/11/01 10:39:15 - mmengine - INFO - Iter(train) [363100/480000] base_lr: 2.9591e-05 lr: 9.1532e-06 eta: 2 days, 17:55:58 time: 2.1129 data_time: 0.1133 memory: 25792 grad_norm: 1.6657 loss: 1.2471 grounding_loss_reg: 2.6514 detection_loss_cls: 0.0416 detection_loss_reg: 0.4149 caption_loss_cls: 2.1764 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7133 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:42:42 - mmengine - INFO - Iter(train) [363200/480000] base_lr: 2.9546e-05 lr: 9.1416e-06 eta: 2 days, 17:56:33 time: 2.1187 data_time: 0.1134 memory: 26631 grad_norm: 1.6650 loss: 1.2538 grounding_loss_reg: 2.6509 detection_loss_cls: 0.0416 detection_loss_reg: 0.4151 caption_loss_cls: 2.1811 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7139 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:45:59 - mmengine - INFO - Iter(train) [363300/480000] base_lr: 2.9501e-05 lr: 9.1300e-06 eta: 2 days, 17:47:16 time: 2.1127 data_time: 0.1134 memory: 25792 grad_norm: 1.6663 loss: 1.2500 grounding_loss_reg: 2.6479 detection_loss_cls: 0.0416 detection_loss_reg: 0.4157 caption_loss_cls: 2.1821 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7147 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:49:00 - mmengine - INFO - Iter(train) [363400/480000] base_lr: 2.9457e-05 lr: 9.1184e-06 eta: 2 days, 17:26:17 time: 2.1051 data_time: 0.1133 memory: 26631 grad_norm: 1.6746 loss: 1.2522 grounding_loss_reg: 2.6474 detection_loss_cls: 0.0416 detection_loss_reg: 0.4156 caption_loss_cls: 2.1798 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7147 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:52:42 - mmengine - INFO - Iter(train) [363500/480000] base_lr: 2.9412e-05 lr: 9.1068e-06 eta: 2 days, 17:38:39 time: 2.1075 data_time: 0.1134 memory: 26631 grad_norm: 1.6666 loss: 1.2474 grounding_loss_reg: 2.6471 detection_loss_cls: 0.0416 detection_loss_reg: 0.4159 caption_loss_cls: 2.1811 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7150 semantic_segmentation_loss_cls: 0.0097 2023/11/01 10:52:42 - mmengine - INFO - Saving checkpoint at 363500 iterations 2023/11/01 10:57:17 - mmengine - INFO - Iter(train) [363600/480000] base_lr: 2.9367e-05 lr: 9.0952e-06 eta: 2 days, 18:29:10 time: 2.1059 data_time: 0.1125 memory: 25792 grad_norm: 1.6664 loss: 1.2424 grounding_loss_reg: 2.6442 detection_loss_cls: 0.0416 detection_loss_reg: 0.4157 caption_loss_cls: 2.1804 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.7153 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:01:41 - mmengine - INFO - Iter(train) [363700/480000] base_lr: 2.9322e-05 lr: 9.0836e-06 eta: 2 days, 19:07:29 time: 2.1169 data_time: 0.1128 memory: 25792 grad_norm: 1.6642 loss: 1.2462 grounding_loss_reg: 2.6428 detection_loss_cls: 0.0417 detection_loss_reg: 0.4165 caption_loss_cls: 2.1816 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7148 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:05:25 - mmengine - INFO - Iter(train) [363800/480000] base_lr: 2.9278e-05 lr: 9.0720e-06 eta: 2 days, 19:15:05 time: 2.1221 data_time: 0.1128 memory: 25792 grad_norm: 1.6703 loss: 1.2526 grounding_loss_reg: 2.6406 detection_loss_cls: 0.0417 detection_loss_reg: 0.4165 caption_loss_cls: 2.1785 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7165 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:08:57 - mmengine - INFO - Iter(train) [363900/480000] base_lr: 2.9233e-05 lr: 9.0604e-06 eta: 2 days, 19:14:02 time: 2.1174 data_time: 0.1128 memory: 26631 grad_norm: 1.6664 loss: 1.2486 grounding_loss_reg: 2.6387 detection_loss_cls: 0.0417 detection_loss_reg: 0.4163 caption_loss_cls: 2.1779 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7160 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:12:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 11:12:24 - mmengine - INFO - Iter(train) [364000/480000] base_lr: 2.9188e-05 lr: 9.0488e-06 eta: 2 days, 19:09:49 time: 2.1154 data_time: 0.1128 memory: 25792 grad_norm: 1.6702 loss: 1.2481 grounding_loss_reg: 2.6391 detection_loss_cls: 0.0417 detection_loss_reg: 0.4155 caption_loss_cls: 2.1754 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7164 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:12:24 - mmengine - INFO - Saving checkpoint at 364000 iterations 2023/11/01 11:17:29 - mmengine - INFO - Iter(train) [364100/480000] base_lr: 2.9144e-05 lr: 9.0373e-06 eta: 2 days, 20:06:08 time: 2.1374 data_time: 0.1277 memory: 26631 grad_norm: 1.6763 loss: 1.2531 grounding_loss_reg: 2.6402 detection_loss_cls: 0.0417 detection_loss_reg: 0.4161 caption_loss_cls: 2.1764 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.7158 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:21:02 - mmengine - INFO - Iter(train) [364200/480000] base_lr: 2.9099e-05 lr: 9.0257e-06 eta: 2 days, 20:03:31 time: 2.1378 data_time: 0.1277 memory: 25792 grad_norm: 1.6724 loss: 1.2500 grounding_loss_reg: 2.6402 detection_loss_cls: 0.0415 detection_loss_reg: 0.4158 caption_loss_cls: 2.1767 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7164 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:24:53 - mmengine - INFO - Iter(train) [364300/480000] base_lr: 2.9055e-05 lr: 9.0142e-06 eta: 2 days, 20:11:04 time: 2.1390 data_time: 0.1278 memory: 25792 grad_norm: 1.6681 loss: 1.2490 grounding_loss_reg: 2.6407 detection_loss_cls: 0.0413 detection_loss_reg: 0.4154 caption_loss_cls: 2.1755 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7175 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:27:59 - mmengine - INFO - Iter(train) [364400/480000] base_lr: 2.9010e-05 lr: 9.0026e-06 eta: 2 days, 19:52:49 time: 2.1277 data_time: 0.1277 memory: 26631 grad_norm: 1.6829 loss: 1.2505 grounding_loss_reg: 2.6426 detection_loss_cls: 0.0414 detection_loss_reg: 0.4160 caption_loss_cls: 2.1771 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7173 semantic_segmentation_loss_cls: 0.0098 2023/11/01 11:32:16 - mmengine - INFO - Iter(train) [364500/480000] base_lr: 2.8966e-05 lr: 8.9911e-06 eta: 2 days, 20:14:28 time: 2.1354 data_time: 0.1289 memory: 26631 grad_norm: 1.6792 loss: 1.2518 grounding_loss_reg: 2.6450 detection_loss_cls: 0.0413 detection_loss_reg: 0.4155 caption_loss_cls: 2.1787 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7176 semantic_segmentation_loss_cls: 0.0098 2023/11/01 11:32:16 - mmengine - INFO - Saving checkpoint at 364500 iterations 2023/11/01 11:36:30 - mmengine - INFO - Iter(train) [364600/480000] base_lr: 2.8921e-05 lr: 8.9796e-06 eta: 2 days, 20:32:39 time: 2.1315 data_time: 0.1279 memory: 25792 grad_norm: 1.6810 loss: 1.2477 grounding_loss_reg: 2.6445 detection_loss_cls: 0.0414 detection_loss_reg: 0.4155 caption_loss_cls: 2.1761 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7183 semantic_segmentation_loss_cls: 0.0098 2023/11/01 11:40:15 - mmengine - INFO - Iter(train) [364700/480000] base_lr: 2.8877e-05 lr: 8.9681e-06 eta: 2 days, 20:34:50 time: 2.1419 data_time: 0.1279 memory: 25792 grad_norm: 1.6567 loss: 1.2342 grounding_loss_reg: 2.6428 detection_loss_cls: 0.0414 detection_loss_reg: 0.4155 caption_loss_cls: 2.1757 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7169 semantic_segmentation_loss_cls: 0.0098 2023/11/01 11:44:05 - mmengine - INFO - Iter(train) [364800/480000] base_lr: 2.8833e-05 lr: 8.9566e-06 eta: 2 days, 20:39:38 time: 2.1507 data_time: 0.1279 memory: 26631 grad_norm: 1.6392 loss: 1.2234 grounding_loss_reg: 2.6423 detection_loss_cls: 0.0413 detection_loss_reg: 0.4147 caption_loss_cls: 2.1781 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7153 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:47:26 - mmengine - INFO - Iter(train) [364900/480000] base_lr: 2.8788e-05 lr: 8.9451e-06 eta: 2 days, 20:29:15 time: 2.1424 data_time: 0.1279 memory: 26631 grad_norm: 1.6549 loss: 1.2283 grounding_loss_reg: 2.6405 detection_loss_cls: 0.0415 detection_loss_reg: 0.4155 caption_loss_cls: 2.1795 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7157 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:51:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 11:51:27 - mmengine - INFO - Iter(train) [365000/480000] base_lr: 2.8744e-05 lr: 8.9336e-06 eta: 2 days, 20:38:36 time: 2.1488 data_time: 0.1279 memory: 26631 grad_norm: 1.6493 loss: 1.2263 grounding_loss_reg: 2.6390 detection_loss_cls: 0.0415 detection_loss_reg: 0.4160 caption_loss_cls: 2.1793 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7152 semantic_segmentation_loss_cls: 0.0097 2023/11/01 11:51:27 - mmengine - INFO - Saving checkpoint at 365000 iterations 2023/11/01 11:55:56 - mmengine - INFO - Iter(train) [365100/480000] base_lr: 2.8700e-05 lr: 8.9221e-06 eta: 2 days, 21:00:07 time: 2.1840 data_time: 0.1442 memory: 26631 grad_norm: 1.6506 loss: 1.2257 grounding_loss_reg: 2.6393 detection_loss_cls: 0.0415 detection_loss_reg: 0.4157 caption_loss_cls: 2.1765 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7140 semantic_segmentation_loss_cls: 0.0098 2023/11/01 11:59:31 - mmengine - INFO - Iter(train) [365200/480000] base_lr: 2.8655e-05 lr: 8.9107e-06 eta: 2 days, 20:56:03 time: 2.2020 data_time: 0.1443 memory: 25792 grad_norm: 1.6510 loss: 1.2287 grounding_loss_reg: 2.6385 detection_loss_cls: 0.0414 detection_loss_reg: 0.4155 caption_loss_cls: 2.1770 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7139 semantic_segmentation_loss_cls: 0.0098 2023/11/01 12:03:15 - mmengine - INFO - Iter(train) [365300/480000] base_lr: 2.8611e-05 lr: 8.8992e-06 eta: 2 days, 20:55:52 time: 2.2195 data_time: 0.1442 memory: 26631 grad_norm: 1.6530 loss: 1.2260 grounding_loss_reg: 2.6398 detection_loss_cls: 0.0415 detection_loss_reg: 0.4155 caption_loss_cls: 2.1748 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7141 semantic_segmentation_loss_cls: 0.0098 2023/11/01 12:06:43 - mmengine - INFO - Iter(train) [365400/480000] base_lr: 2.8567e-05 lr: 8.8877e-06 eta: 2 days, 20:48:33 time: 2.2292 data_time: 0.1443 memory: 26631 grad_norm: 1.6558 loss: 1.2379 grounding_loss_reg: 2.6387 detection_loss_cls: 0.0414 detection_loss_reg: 0.4159 caption_loss_cls: 2.1777 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.7144 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:10:01 - mmengine - INFO - Iter(train) [365500/480000] base_lr: 2.8523e-05 lr: 8.8763e-06 eta: 2 days, 20:37:05 time: 2.2345 data_time: 0.1442 memory: 25792 grad_norm: 1.6630 loss: 1.2444 grounding_loss_reg: 2.6418 detection_loss_cls: 0.0417 detection_loss_reg: 0.4174 caption_loss_cls: 2.1759 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7144 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:10:01 - mmengine - INFO - Saving checkpoint at 365500 iterations 2023/11/01 12:15:01 - mmengine - INFO - Iter(train) [365600/480000] base_lr: 2.8479e-05 lr: 8.8648e-06 eta: 2 days, 21:08:38 time: 2.2549 data_time: 0.1440 memory: 25792 grad_norm: 1.6579 loss: 1.2414 grounding_loss_reg: 2.6405 detection_loss_cls: 0.0417 detection_loss_reg: 0.4176 caption_loss_cls: 2.1763 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7132 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:18:30 - mmengine - INFO - Iter(train) [365700/480000] base_lr: 2.8435e-05 lr: 8.8534e-06 eta: 2 days, 21:01:17 time: 2.2628 data_time: 0.1440 memory: 26631 grad_norm: 1.6575 loss: 1.2404 grounding_loss_reg: 2.6406 detection_loss_cls: 0.0417 detection_loss_reg: 0.4175 caption_loss_cls: 2.1744 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7135 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:22:34 - mmengine - INFO - Iter(train) [365800/480000] base_lr: 2.8391e-05 lr: 8.8420e-06 eta: 2 days, 21:08:07 time: 2.2758 data_time: 0.1438 memory: 26631 grad_norm: 1.6544 loss: 1.2390 grounding_loss_reg: 2.6391 detection_loss_cls: 0.0419 detection_loss_reg: 0.4181 caption_loss_cls: 2.1722 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7127 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:26:12 - mmengine - INFO - Iter(train) [365900/480000] base_lr: 2.8347e-05 lr: 8.8306e-06 eta: 2 days, 21:04:35 time: 2.2879 data_time: 0.1438 memory: 26631 grad_norm: 1.6662 loss: 1.2436 grounding_loss_reg: 2.6396 detection_loss_cls: 0.0417 detection_loss_reg: 0.4172 caption_loss_cls: 2.1734 instance_segmentation_loss_cls: 0.0285 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7125 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:29:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 12:29:39 - mmengine - INFO - Iter(train) [366000/480000] base_lr: 2.8303e-05 lr: 8.8192e-06 eta: 2 days, 20:56:50 time: 2.2949 data_time: 0.1439 memory: 26631 grad_norm: 1.6710 loss: 1.2480 grounding_loss_reg: 2.6386 detection_loss_cls: 0.0418 detection_loss_reg: 0.4165 caption_loss_cls: 2.1784 instance_segmentation_loss_cls: 0.0286 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7141 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:29:39 - mmengine - INFO - Saving checkpoint at 366000 iterations 2023/11/01 12:34:46 - mmengine - INFO - Iter(train) [366100/480000] base_lr: 2.8259e-05 lr: 8.8078e-06 eta: 2 days, 21:26:14 time: 2.3109 data_time: 0.1444 memory: 25792 grad_norm: 1.6768 loss: 1.2480 grounding_loss_reg: 2.6367 detection_loss_cls: 0.0419 detection_loss_reg: 0.4173 caption_loss_cls: 2.1779 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7124 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:38:41 - mmengine - INFO - Iter(train) [366200/480000] base_lr: 2.8215e-05 lr: 8.7964e-06 eta: 2 days, 21:28:22 time: 2.3233 data_time: 0.1444 memory: 25792 grad_norm: 1.6722 loss: 1.2454 grounding_loss_reg: 2.6340 detection_loss_cls: 0.0419 detection_loss_reg: 0.4183 caption_loss_cls: 2.1779 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7122 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:42:39 - mmengine - INFO - Iter(train) [366300/480000] base_lr: 2.8171e-05 lr: 8.7850e-06 eta: 2 days, 21:31:10 time: 2.3334 data_time: 0.1444 memory: 25792 grad_norm: 1.6748 loss: 1.2434 grounding_loss_reg: 2.6309 detection_loss_cls: 0.0419 detection_loss_reg: 0.4177 caption_loss_cls: 2.1791 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7122 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:46:30 - mmengine - INFO - Iter(train) [366400/480000] base_lr: 2.8127e-05 lr: 8.7736e-06 eta: 2 days, 21:31:16 time: 2.3294 data_time: 0.1442 memory: 25792 grad_norm: 1.6693 loss: 1.2382 grounding_loss_reg: 2.6284 detection_loss_cls: 0.0418 detection_loss_reg: 0.4168 caption_loss_cls: 2.1811 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7105 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:50:38 - mmengine - INFO - Iter(train) [366500/480000] base_lr: 2.8083e-05 lr: 8.7623e-06 eta: 2 days, 21:37:11 time: 2.3220 data_time: 0.1435 memory: 26631 grad_norm: 1.6598 loss: 1.2358 grounding_loss_reg: 2.6289 detection_loss_cls: 0.0419 detection_loss_reg: 0.4175 caption_loss_cls: 2.1782 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7102 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:50:38 - mmengine - INFO - Saving checkpoint at 366500 iterations 2023/11/01 12:55:54 - mmengine - INFO - Iter(train) [366600/480000] base_lr: 2.8039e-05 lr: 8.7509e-06 eta: 2 days, 22:05:34 time: 2.3325 data_time: 0.1451 memory: 26631 grad_norm: 1.6552 loss: 1.2342 grounding_loss_reg: 2.6299 detection_loss_cls: 0.0419 detection_loss_reg: 0.4169 caption_loss_cls: 2.1772 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7090 semantic_segmentation_loss_cls: 0.0097 2023/11/01 12:59:43 - mmengine - INFO - Iter(train) [366700/480000] base_lr: 2.7995e-05 lr: 8.7395e-06 eta: 2 days, 22:04:06 time: 2.3412 data_time: 0.1452 memory: 26631 grad_norm: 1.6607 loss: 1.2378 grounding_loss_reg: 2.6267 detection_loss_cls: 0.0420 detection_loss_reg: 0.4172 caption_loss_cls: 2.1778 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7085 semantic_segmentation_loss_cls: 0.0097 2023/11/01 13:03:35 - mmengine - INFO - Iter(train) [366800/480000] base_lr: 2.7952e-05 lr: 8.7282e-06 eta: 2 days, 22:03:14 time: 2.3460 data_time: 0.1451 memory: 25792 grad_norm: 1.6599 loss: 1.2356 grounding_loss_reg: 2.6267 detection_loss_cls: 0.0420 detection_loss_reg: 0.4178 caption_loss_cls: 2.1762 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7093 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:07:36 - mmengine - INFO - Iter(train) [366900/480000] base_lr: 2.7908e-05 lr: 8.7169e-06 eta: 2 days, 22:05:25 time: 2.3493 data_time: 0.1452 memory: 25792 grad_norm: 1.6572 loss: 1.2364 grounding_loss_reg: 2.6257 detection_loss_cls: 0.0418 detection_loss_reg: 0.4175 caption_loss_cls: 2.1751 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7097 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:11:09 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 13:11:09 - mmengine - INFO - Iter(train) [367000/480000] base_lr: 2.7864e-05 lr: 8.7055e-06 eta: 2 days, 21:58:16 time: 2.3479 data_time: 0.1451 memory: 25792 grad_norm: 1.6430 loss: 1.2360 grounding_loss_reg: 2.6242 detection_loss_cls: 0.0418 detection_loss_reg: 0.4180 caption_loss_cls: 2.1755 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7101 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:11:09 - mmengine - INFO - Saving checkpoint at 367000 iterations 2023/11/01 13:16:09 - mmengine - INFO - Iter(train) [367100/480000] base_lr: 2.7821e-05 lr: 8.6942e-06 eta: 2 days, 22:18:31 time: 2.3529 data_time: 0.1453 memory: 26631 grad_norm: 1.6459 loss: 1.2366 grounding_loss_reg: 2.6240 detection_loss_cls: 0.0416 detection_loss_reg: 0.4180 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2821 instance_segmentation_loss_poly: 0.7105 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:20:21 - mmengine - INFO - Iter(train) [367200/480000] base_lr: 2.7777e-05 lr: 8.6829e-06 eta: 2 days, 22:23:02 time: 2.3639 data_time: 0.1453 memory: 25792 grad_norm: 1.6408 loss: 1.2321 grounding_loss_reg: 2.6247 detection_loss_cls: 0.0416 detection_loss_reg: 0.4188 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7110 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:24:32 - mmengine - INFO - Iter(train) [367300/480000] base_lr: 2.7733e-05 lr: 8.6716e-06 eta: 2 days, 22:27:20 time: 2.3777 data_time: 0.1453 memory: 25792 grad_norm: 1.6375 loss: 1.2356 grounding_loss_reg: 2.6272 detection_loss_cls: 0.0416 detection_loss_reg: 0.4185 caption_loss_cls: 2.1693 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7094 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:28:11 - mmengine - INFO - Iter(train) [367400/480000] base_lr: 2.7690e-05 lr: 8.6603e-06 eta: 2 days, 22:21:37 time: 2.3870 data_time: 0.1454 memory: 25792 grad_norm: 1.6389 loss: 1.2380 grounding_loss_reg: 2.6252 detection_loss_cls: 0.0416 detection_loss_reg: 0.4177 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0277 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7078 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:32:07 - mmengine - INFO - Iter(train) [367500/480000] base_lr: 2.7646e-05 lr: 8.6490e-06 eta: 2 days, 22:21:12 time: 2.3906 data_time: 0.1453 memory: 25792 grad_norm: 1.6369 loss: 1.2325 grounding_loss_reg: 2.6220 detection_loss_cls: 0.0416 detection_loss_reg: 0.4184 caption_loss_cls: 2.1707 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7063 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:32:07 - mmengine - INFO - Saving checkpoint at 367500 iterations 2023/11/01 13:36:53 - mmengine - INFO - Iter(train) [367600/480000] base_lr: 2.7603e-05 lr: 8.6378e-06 eta: 2 days, 22:34:38 time: 2.3932 data_time: 0.1453 memory: 26631 grad_norm: 1.6390 loss: 1.2392 grounding_loss_reg: 2.6211 detection_loss_cls: 0.0416 detection_loss_reg: 0.4182 caption_loss_cls: 2.1718 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2801 instance_segmentation_loss_poly: 0.7056 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:40:32 - mmengine - INFO - Iter(train) [367700/480000] base_lr: 2.7559e-05 lr: 8.6265e-06 eta: 2 days, 22:28:46 time: 2.3819 data_time: 0.1451 memory: 26631 grad_norm: 1.6422 loss: 1.2405 grounding_loss_reg: 2.6212 detection_loss_cls: 0.0417 detection_loss_reg: 0.4178 caption_loss_cls: 2.1726 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7054 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:44:13 - mmengine - INFO - Iter(train) [367800/480000] base_lr: 2.7516e-05 lr: 8.6152e-06 eta: 2 days, 22:23:38 time: 2.3812 data_time: 0.1452 memory: 26631 grad_norm: 1.6355 loss: 1.2370 grounding_loss_reg: 2.6211 detection_loss_cls: 0.0417 detection_loss_reg: 0.4170 caption_loss_cls: 2.1714 instance_segmentation_loss_cls: 0.0280 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7078 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:47:42 - mmengine - INFO - Iter(train) [367900/480000] base_lr: 2.7472e-05 lr: 8.6040e-06 eta: 2 days, 22:15:17 time: 2.3804 data_time: 0.1452 memory: 26631 grad_norm: 1.6389 loss: 1.2485 grounding_loss_reg: 2.6205 detection_loss_cls: 0.0417 detection_loss_reg: 0.4171 caption_loss_cls: 2.1726 instance_segmentation_loss_cls: 0.0280 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7078 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:50:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 13:50:56 - mmengine - INFO - Iter(train) [368000/480000] base_lr: 2.7429e-05 lr: 8.5927e-06 eta: 2 days, 22:03:15 time: 2.3773 data_time: 0.1452 memory: 26631 grad_norm: 1.6473 loss: 1.2545 grounding_loss_reg: 2.6197 detection_loss_cls: 0.0417 detection_loss_reg: 0.4175 caption_loss_cls: 2.1734 instance_segmentation_loss_cls: 0.0280 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7078 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:50:56 - mmengine - INFO - Saving checkpoint at 368000 iterations 2023/11/01 13:55:36 - mmengine - INFO - Iter(train) [368100/480000] base_lr: 2.7386e-05 lr: 8.5815e-06 eta: 2 days, 22:13:48 time: 2.3711 data_time: 0.1456 memory: 26631 grad_norm: 1.6548 loss: 1.2587 grounding_loss_reg: 2.6186 detection_loss_cls: 0.0417 detection_loss_reg: 0.4170 caption_loss_cls: 2.1732 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7069 semantic_segmentation_loss_cls: 0.0098 2023/11/01 13:58:59 - mmengine - INFO - Iter(train) [368200/480000] base_lr: 2.7342e-05 lr: 8.5703e-06 eta: 2 days, 22:04:05 time: 2.3685 data_time: 0.1455 memory: 25792 grad_norm: 1.6532 loss: 1.2592 grounding_loss_reg: 2.6176 detection_loss_cls: 0.0417 detection_loss_reg: 0.4172 caption_loss_cls: 2.1780 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7057 semantic_segmentation_loss_cls: 0.0098 2023/11/01 14:02:55 - mmengine - INFO - Iter(train) [368300/480000] base_lr: 2.7299e-05 lr: 8.5590e-06 eta: 2 days, 22:02:59 time: 2.3699 data_time: 0.1455 memory: 26631 grad_norm: 1.6534 loss: 1.2574 grounding_loss_reg: 2.6175 detection_loss_cls: 0.0416 detection_loss_reg: 0.4168 caption_loss_cls: 2.1779 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7068 semantic_segmentation_loss_cls: 0.0098 2023/11/01 14:06:56 - mmengine - INFO - Iter(train) [368400/480000] base_lr: 2.7256e-05 lr: 8.5478e-06 eta: 2 days, 22:02:52 time: 2.3834 data_time: 0.1456 memory: 25792 grad_norm: 1.6478 loss: 1.2630 grounding_loss_reg: 2.6157 detection_loss_cls: 0.0416 detection_loss_reg: 0.4162 caption_loss_cls: 2.1807 instance_segmentation_loss_cls: 0.0280 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7106 semantic_segmentation_loss_cls: 0.0098 2023/11/01 14:10:53 - mmengine - INFO - Iter(train) [368500/480000] base_lr: 2.7213e-05 lr: 8.5366e-06 eta: 2 days, 22:01:53 time: 2.3784 data_time: 0.1445 memory: 26631 grad_norm: 1.6481 loss: 1.2607 grounding_loss_reg: 2.6151 detection_loss_cls: 0.0415 detection_loss_reg: 0.4163 caption_loss_cls: 2.1809 instance_segmentation_loss_cls: 0.0281 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7099 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:10:53 - mmengine - INFO - Saving checkpoint at 368500 iterations 2023/11/01 14:15:09 - mmengine - INFO - Iter(train) [368600/480000] base_lr: 2.7170e-05 lr: 8.5254e-06 eta: 2 days, 22:05:29 time: 2.3792 data_time: 0.1445 memory: 25792 grad_norm: 1.6469 loss: 1.2577 grounding_loss_reg: 2.6141 detection_loss_cls: 0.0413 detection_loss_reg: 0.4149 caption_loss_cls: 2.1757 instance_segmentation_loss_cls: 0.0281 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7107 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:18:57 - mmengine - INFO - Iter(train) [368700/480000] base_lr: 2.7126e-05 lr: 8.5142e-06 eta: 2 days, 22:01:54 time: 2.3798 data_time: 0.1446 memory: 26631 grad_norm: 1.6618 loss: 1.2717 grounding_loss_reg: 2.6149 detection_loss_cls: 0.0413 detection_loss_reg: 0.4146 caption_loss_cls: 2.1786 instance_segmentation_loss_cls: 0.0282 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7109 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:22:44 - mmengine - INFO - Iter(train) [368800/480000] base_lr: 2.7083e-05 lr: 8.5031e-06 eta: 2 days, 21:58:22 time: 2.3790 data_time: 0.1446 memory: 26631 grad_norm: 1.6745 loss: 1.2796 grounding_loss_reg: 2.6156 detection_loss_cls: 0.0412 detection_loss_reg: 0.4142 caption_loss_cls: 2.1745 instance_segmentation_loss_cls: 0.0282 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7105 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:26:34 - mmengine - INFO - Iter(train) [368900/480000] base_lr: 2.7040e-05 lr: 8.4919e-06 eta: 2 days, 21:55:19 time: 2.3862 data_time: 0.1447 memory: 26631 grad_norm: 1.6667 loss: 1.2804 grounding_loss_reg: 2.6148 detection_loss_cls: 0.0413 detection_loss_reg: 0.4150 caption_loss_cls: 2.1749 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7104 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:30:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 14:30:10 - mmengine - INFO - Iter(train) [369000/480000] base_lr: 2.6997e-05 lr: 8.4807e-06 eta: 2 days, 21:49:04 time: 2.3799 data_time: 0.1447 memory: 26631 grad_norm: 1.6727 loss: 1.2829 grounding_loss_reg: 2.6152 detection_loss_cls: 0.0414 detection_loss_reg: 0.4148 caption_loss_cls: 2.1752 instance_segmentation_loss_cls: 0.0284 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7109 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:30:10 - mmengine - INFO - Saving checkpoint at 369000 iterations 2023/11/01 14:35:32 - mmengine - INFO - Iter(train) [369100/480000] base_lr: 2.6954e-05 lr: 8.4696e-06 eta: 2 days, 22:07:05 time: 2.3932 data_time: 0.1446 memory: 26631 grad_norm: 1.6677 loss: 1.2804 grounding_loss_reg: 2.6132 detection_loss_cls: 0.0414 detection_loss_reg: 0.4152 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7084 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:38:58 - mmengine - INFO - Iter(train) [369200/480000] base_lr: 2.6911e-05 lr: 8.4584e-06 eta: 2 days, 21:58:30 time: 2.3910 data_time: 0.1445 memory: 25792 grad_norm: 1.6741 loss: 1.2766 grounding_loss_reg: 2.6102 detection_loss_cls: 0.0415 detection_loss_reg: 0.4160 caption_loss_cls: 2.1722 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7082 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:42:49 - mmengine - INFO - Iter(train) [369300/480000] base_lr: 2.6868e-05 lr: 8.4473e-06 eta: 2 days, 21:55:22 time: 2.3926 data_time: 0.1445 memory: 26631 grad_norm: 1.6672 loss: 1.2723 grounding_loss_reg: 2.6089 detection_loss_cls: 0.0415 detection_loss_reg: 0.4161 caption_loss_cls: 2.1722 instance_segmentation_loss_cls: 0.0282 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7092 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:46:28 - mmengine - INFO - Iter(train) [369400/480000] base_lr: 2.6825e-05 lr: 8.4362e-06 eta: 2 days, 21:49:52 time: 2.3956 data_time: 0.1445 memory: 25792 grad_norm: 1.6647 loss: 1.2600 grounding_loss_reg: 2.6088 detection_loss_cls: 0.0415 detection_loss_reg: 0.4164 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0283 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7095 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:50:00 - mmengine - INFO - Iter(train) [369500/480000] base_lr: 2.6782e-05 lr: 8.4250e-06 eta: 2 days, 21:42:42 time: 2.3991 data_time: 0.1446 memory: 25792 grad_norm: 1.6636 loss: 1.2553 grounding_loss_reg: 2.6091 detection_loss_cls: 0.0415 detection_loss_reg: 0.4154 caption_loss_cls: 2.1665 instance_segmentation_loss_cls: 0.0282 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7088 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:50:00 - mmengine - INFO - Saving checkpoint at 369500 iterations 2023/11/01 14:54:50 - mmengine - INFO - Iter(train) [369600/480000] base_lr: 2.6739e-05 lr: 8.4139e-06 eta: 2 days, 21:52:16 time: 2.3963 data_time: 0.1446 memory: 25792 grad_norm: 1.6575 loss: 1.2520 grounding_loss_reg: 2.6097 detection_loss_cls: 0.0415 detection_loss_reg: 0.4161 caption_loss_cls: 2.1633 instance_segmentation_loss_cls: 0.0282 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7078 semantic_segmentation_loss_cls: 0.0097 2023/11/01 14:58:23 - mmengine - INFO - Iter(train) [369700/480000] base_lr: 2.6697e-05 lr: 8.4028e-06 eta: 2 days, 21:45:20 time: 2.3975 data_time: 0.1446 memory: 26631 grad_norm: 1.6600 loss: 1.2580 grounding_loss_reg: 2.6104 detection_loss_cls: 0.0414 detection_loss_reg: 0.4152 caption_loss_cls: 2.1688 instance_segmentation_loss_cls: 0.0281 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7063 semantic_segmentation_loss_cls: 0.0098 2023/11/01 15:01:58 - mmengine - INFO - Iter(train) [369800/480000] base_lr: 2.6654e-05 lr: 8.3917e-06 eta: 2 days, 21:38:55 time: 2.3903 data_time: 0.1445 memory: 26631 grad_norm: 1.6759 loss: 1.2659 grounding_loss_reg: 2.6105 detection_loss_cls: 0.0415 detection_loss_reg: 0.4159 caption_loss_cls: 2.1709 instance_segmentation_loss_cls: 0.0281 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7073 semantic_segmentation_loss_cls: 0.0098 2023/11/01 15:05:38 - mmengine - INFO - Iter(train) [369900/480000] base_lr: 2.6611e-05 lr: 8.3806e-06 eta: 2 days, 21:33:30 time: 2.3907 data_time: 0.1445 memory: 25792 grad_norm: 1.6634 loss: 1.2565 grounding_loss_reg: 2.6095 detection_loss_cls: 0.0415 detection_loss_reg: 0.4159 caption_loss_cls: 2.1689 instance_segmentation_loss_cls: 0.0281 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7083 semantic_segmentation_loss_cls: 0.0098 2023/11/01 15:09:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 15:09:27 - mmengine - INFO - Iter(train) [370000/480000] base_lr: 2.6568e-05 lr: 8.3696e-06 eta: 2 days, 21:30:09 time: 2.3963 data_time: 0.1445 memory: 25792 grad_norm: 1.6504 loss: 1.2439 grounding_loss_reg: 2.6080 detection_loss_cls: 0.0414 detection_loss_reg: 0.4151 caption_loss_cls: 2.1717 instance_segmentation_loss_cls: 0.0281 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7087 semantic_segmentation_loss_cls: 0.0098 2023/11/01 15:09:27 - mmengine - INFO - Saving checkpoint at 370000 iterations 2023/11/01 15:15:19 - mmengine - INFO - Evaluating bbox... 2023/11/01 15:16:22 - mmengine - INFO - bbox_mAP_copypaste: 0.522 0.698 0.570 0.375 0.567 0.672 2023/11/01 15:16:22 - mmengine - INFO - Evaluating segm... 2023/11/01 15:17:37 - mmengine - INFO - segm_mAP_copypaste: 0.352 0.616 0.352 0.219 0.400 0.537 2023/11/01 15:19:01 - mmengine - INFO - Evaluating bbox... 2023/11/01 15:20:07 - mmengine - INFO - bbox_mAP_copypaste: 0.523 0.699 0.570 0.375 0.567 0.674 2023/11/01 15:23:27 - mmengine - INFO - per class results: 2023/11/01 15:23:27 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.56 | 88.31 | | building | 82.68 | 91.74 | | sky | 93.27 | 97.45 | | floor | 82.22 | 90.07 | | tree | 74.36 | 88.9 | | ceiling | 84.99 | 94.44 | | road | 84.54 | 88.94 | | bed | 89.81 | 95.4 | | windowpane | 63.42 | 81.14 | | grass | 67.75 | 79.39 | | cabinet | 62.73 | 74.6 | | sidewalk | 68.1 | 81.76 | | person | 81.1 | 90.59 | | earth | 43.08 | 57.05 | | door | 53.97 | 69.88 | | table | 65.3 | 80.16 | | mountain | 63.45 | 82.6 | | plant | 51.61 | 62.66 | | curtain | 72.57 | 87.7 | | chair | 59.58 | 73.8 | | car | 82.81 | 92.07 | | water | 62.75 | 80.19 | | painting | 70.95 | 86.5 | | sofa | 74.54 | 88.03 | | shelf | 45.34 | 62.12 | | house | 42.93 | 66.3 | | sea | 68.4 | 82.29 | | mirror | 70.27 | 79.6 | | rug | 70.53 | 83.0 | | field | 28.14 | 47.78 | | armchair | 52.02 | 66.42 | | seat | 67.51 | 85.9 | | fence | 44.25 | 55.88 | | desk | 54.07 | 74.57 | | rock | 50.91 | 70.19 | | wardrobe | 50.64 | 66.48 | | lamp | 61.61 | 76.42 | | bathtub | 80.03 | 81.94 | | railing | 35.91 | 46.88 | | cushion | 61.36 | 75.44 | | base | 29.61 | 49.54 | | box | 30.17 | 35.62 | | column | 48.34 | 58.79 | | signboard | 37.33 | 49.65 | | chest of drawers | 44.54 | 56.93 | | counter | 22.22 | 27.4 | | sand | 54.64 | 76.03 | | sink | 76.06 | 86.5 | | skyscraper | 51.76 | 60.49 | | fireplace | 70.87 | 88.89 | | refrigerator | 74.84 | 79.45 | | grandstand | 45.75 | 80.83 | | path | 29.27 | 43.28 | | stairs | 33.79 | 44.51 | | runway | 74.58 | 94.52 | | case | 53.84 | 67.84 | | pool table | 91.99 | 95.68 | | pillow | 56.03 | 64.79 | | screen door | 75.05 | 79.54 | | stairway | 34.14 | 42.42 | | river | 16.5 | 27.64 | | bridge | 72.32 | 89.99 | | bookcase | 37.47 | 57.04 | | blind | 38.79 | 41.79 | | coffee table | 63.28 | 76.33 | | toilet | 87.2 | 92.49 | | flower | 36.66 | 56.11 | | book | 45.48 | 64.25 | | hill | 10.26 | 14.41 | | bench | 58.47 | 73.83 | | countertop | 63.11 | 74.67 | | stove | 74.38 | 83.12 | | palm | 48.08 | 60.82 | | kitchen island | 40.37 | 88.79 | | computer | 70.92 | 83.06 | | swivel chair | 44.04 | 55.74 | | boat | 64.03 | 81.17 | | bar | 50.33 | 71.37 | | arcade machine | 72.78 | 80.59 | | hovel | 34.17 | 38.24 | | bus | 92.53 | 95.88 | | towel | 67.54 | 80.17 | | light | 46.02 | 52.71 | | truck | 46.72 | 65.02 | | tower | 43.69 | 75.73 | | chandelier | 62.75 | 79.22 | | awning | 30.65 | 37.92 | | streetlight | 33.6 | 46.61 | | booth | 36.28 | 42.38 | | television receiver | 69.06 | 84.89 | | airplane | 65.6 | 74.36 | | dirt track | 2.92 | 12.46 | | apparel | 37.7 | 53.61 | | pole | 24.49 | 34.99 | | land | 0.81 | 1.02 | | bannister | 14.35 | 22.77 | | escalator | 28.15 | 30.69 | | ottoman | 50.43 | 72.3 | | bottle | 34.66 | 46.96 | | buffet | 47.17 | 53.3 | | poster | 33.65 | 40.51 | | stage | 9.75 | 14.48 | | van | 31.63 | 37.43 | | ship | 82.89 | 90.56 | | fountain | 23.82 | 24.37 | | conveyer belt | 75.87 | 81.18 | | canopy | 29.61 | 37.87 | | washer | 71.82 | 72.85 | | plaything | 20.1 | 23.54 | | swimming pool | 74.04 | 94.47 | | stool | 46.88 | 61.02 | | barrel | 50.54 | 64.96 | | basket | 34.34 | 54.45 | | waterfall | 63.67 | 73.15 | | tent | 86.19 | 96.84 | | bag | 21.7 | 26.97 | | minibike | 72.39 | 88.29 | | cradle | 74.05 | 96.82 | | oven | 47.2 | 62.65 | | ball | 51.77 | 65.41 | | food | 47.92 | 52.09 | | step | 10.2 | 15.37 | | tank | 43.7 | 59.26 | | trade name | 19.58 | 20.92 | | microwave | 87.89 | 94.77 | | pot | 53.05 | 61.09 | | animal | 62.1 | 65.3 | | bicycle | 60.49 | 77.78 | | lake | 56.83 | 62.73 | | dishwasher | 71.01 | 78.01 | | screen | 72.53 | 84.1 | | blanket | 22.28 | 27.35 | | sculpture | 73.82 | 81.94 | | hood | 66.47 | 84.57 | | sconce | 42.29 | 51.55 | | vase | 41.9 | 58.14 | | traffic light | 37.22 | 48.73 | | tray | 14.02 | 28.56 | | ashcan | 43.65 | 61.89 | | fan | 58.49 | 69.93 | | pier | 66.75 | 78.82 | | crt screen | 22.13 | 26.4 | | plate | 56.69 | 69.13 | | monitor | 47.97 | 61.8 | | bulletin board | 45.81 | 56.22 | | shower | 3.44 | 4.83 | | radiator | 61.18 | 70.56 | | glass | 18.26 | 20.04 | | clock | 26.21 | 33.78 | | flag | 69.61 | 80.04 | +---------------------+-------+-------+ 2023/11/01 15:23:52 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.1767 data_time: 0.0250 memory: 27910 2023/11/01 15:24:11 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5230 coco/bbox_mAP_50: 0.6990 coco/bbox_mAP_75: 0.5700 coco/bbox_mAP_s: 0.3750 coco/bbox_mAP_m: 0.5670 coco/bbox_mAP_l: 0.6740 coco/segm_mAP: 0.3520 coco/segm_mAP_50: 0.6160 coco/segm_mAP_75: 0.3520 coco/segm_mAP_s: 0.2190 coco/segm_mAP_m: 0.4000 coco/segm_mAP_l: 0.5370 Bleu_1: 0.7714 Bleu_2: 0.6044 Bleu_3: 0.4601 Bleu_4: 0.3478 METEOR: 0.2832 ROUGE_L: 0.5707 CIDEr: 1.1686 SPICE: 0.2117 aAcc: 84.1000 mIoU: 52.6800 mAcc: 64.5000 visual-grounding/miou: 0.8070 visual-grounding/acc: 0.8757 data_time: 0.0019 time: 0.2314 2023/11/01 15:28:01 - mmengine - INFO - Iter(train) [370100/480000] base_lr: 2.6526e-05 lr: 8.3585e-06 eta: 2 days, 21:27:18 time: 2.3777 data_time: 0.1288 memory: 26632 grad_norm: 1.6492 loss: 1.2442 grounding_loss_reg: 2.6081 detection_loss_cls: 0.0413 detection_loss_reg: 0.4151 caption_loss_cls: 2.1704 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2794 instance_segmentation_loss_poly: 0.7062 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:31:29 - mmengine - INFO - Iter(train) [370200/480000] base_lr: 2.6483e-05 lr: 8.3474e-06 eta: 2 days, 21:19:41 time: 2.3710 data_time: 0.1287 memory: 26632 grad_norm: 1.6586 loss: 1.2466 grounding_loss_reg: 2.6074 detection_loss_cls: 0.0414 detection_loss_reg: 0.4160 caption_loss_cls: 2.1708 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2791 instance_segmentation_loss_poly: 0.7057 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:35:23 - mmengine - INFO - Iter(train) [370300/480000] base_lr: 2.6440e-05 lr: 8.3364e-06 eta: 2 days, 21:17:11 time: 2.3700 data_time: 0.1288 memory: 25792 grad_norm: 1.6669 loss: 1.2559 grounding_loss_reg: 2.6047 detection_loss_cls: 0.0413 detection_loss_reg: 0.4152 caption_loss_cls: 2.1731 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.7053 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:38:51 - mmengine - INFO - Iter(train) [370400/480000] base_lr: 2.6398e-05 lr: 8.3253e-06 eta: 2 days, 21:09:38 time: 2.3643 data_time: 0.1288 memory: 25792 grad_norm: 1.6698 loss: 1.2595 grounding_loss_reg: 2.6061 detection_loss_cls: 0.0412 detection_loss_reg: 0.4147 caption_loss_cls: 2.1746 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2779 instance_segmentation_loss_poly: 0.7045 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:42:18 - mmengine - INFO - Iter(train) [370500/480000] base_lr: 2.6355e-05 lr: 8.3143e-06 eta: 2 days, 21:01:55 time: 2.3539 data_time: 0.1288 memory: 26632 grad_norm: 1.6831 loss: 1.2653 grounding_loss_reg: 2.6070 detection_loss_cls: 0.0409 detection_loss_reg: 0.4137 caption_loss_cls: 2.1720 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.7060 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:42:18 - mmengine - INFO - Saving checkpoint at 370500 iterations 2023/11/01 15:47:22 - mmengine - INFO - Iter(train) [370600/480000] base_lr: 2.6313e-05 lr: 8.3032e-06 eta: 2 days, 21:12:48 time: 2.3510 data_time: 0.1293 memory: 26632 grad_norm: 1.6917 loss: 1.2722 grounding_loss_reg: 2.6082 detection_loss_cls: 0.0410 detection_loss_reg: 0.4136 caption_loss_cls: 2.1760 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.7054 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:50:45 - mmengine - INFO - Iter(train) [370700/480000] base_lr: 2.6270e-05 lr: 8.2922e-06 eta: 2 days, 21:04:21 time: 2.3444 data_time: 0.1293 memory: 25792 grad_norm: 1.6922 loss: 1.2705 grounding_loss_reg: 2.6058 detection_loss_cls: 0.0411 detection_loss_reg: 0.4142 caption_loss_cls: 2.1773 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2779 instance_segmentation_loss_poly: 0.7036 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:54:58 - mmengine - INFO - Iter(train) [370800/480000] base_lr: 2.6228e-05 lr: 8.2812e-06 eta: 2 days, 21:05:18 time: 2.3498 data_time: 0.1294 memory: 26632 grad_norm: 1.6892 loss: 1.2674 grounding_loss_reg: 2.6052 detection_loss_cls: 0.0410 detection_loss_reg: 0.4139 caption_loss_cls: 2.1751 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2782 instance_segmentation_loss_poly: 0.7043 semantic_segmentation_loss_cls: 0.0097 2023/11/01 15:58:22 - mmengine - INFO - Iter(train) [370900/480000] base_lr: 2.6185e-05 lr: 8.2702e-06 eta: 2 days, 20:57:09 time: 2.3405 data_time: 0.1293 memory: 25792 grad_norm: 1.6915 loss: 1.2655 grounding_loss_reg: 2.6025 detection_loss_cls: 0.0408 detection_loss_reg: 0.4134 caption_loss_cls: 2.1753 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2777 instance_segmentation_loss_poly: 0.7031 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:02:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 16:02:05 - mmengine - INFO - Iter(train) [371000/480000] base_lr: 2.6143e-05 lr: 8.2592e-06 eta: 2 days, 20:52:27 time: 2.3431 data_time: 0.1294 memory: 26632 grad_norm: 1.6915 loss: 1.2671 grounding_loss_reg: 2.6020 detection_loss_cls: 0.0406 detection_loss_reg: 0.4130 caption_loss_cls: 2.1768 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2782 instance_segmentation_loss_poly: 0.7046 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:02:05 - mmengine - INFO - Saving checkpoint at 371000 iterations 2023/11/01 16:07:15 - mmengine - INFO - Iter(train) [371100/480000] base_lr: 2.6100e-05 lr: 8.2482e-06 eta: 2 days, 21:03:34 time: 2.3456 data_time: 0.1301 memory: 26632 grad_norm: 1.6915 loss: 1.2653 grounding_loss_reg: 2.6001 detection_loss_cls: 0.0407 detection_loss_reg: 0.4130 caption_loss_cls: 2.1749 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2782 instance_segmentation_loss_poly: 0.7055 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:11:08 - mmengine - INFO - Iter(train) [371200/480000] base_lr: 2.6058e-05 lr: 8.2372e-06 eta: 2 days, 21:00:27 time: 2.3408 data_time: 0.1301 memory: 26632 grad_norm: 1.6912 loss: 1.2571 grounding_loss_reg: 2.5970 detection_loss_cls: 0.0407 detection_loss_reg: 0.4124 caption_loss_cls: 2.1755 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2777 instance_segmentation_loss_poly: 0.7044 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:14:39 - mmengine - INFO - Iter(train) [371300/480000] base_lr: 2.6016e-05 lr: 8.2263e-06 eta: 2 days, 20:53:41 time: 2.3307 data_time: 0.1301 memory: 26632 grad_norm: 1.6848 loss: 1.2499 grounding_loss_reg: 2.5968 detection_loss_cls: 0.0407 detection_loss_reg: 0.4130 caption_loss_cls: 2.1747 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2771 instance_segmentation_loss_poly: 0.7036 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:17:32 - mmengine - INFO - Iter(train) [371400/480000] base_lr: 2.5973e-05 lr: 8.2153e-06 eta: 2 days, 20:40:08 time: 2.3192 data_time: 0.1301 memory: 26632 grad_norm: 1.6946 loss: 1.2547 grounding_loss_reg: 2.5941 detection_loss_cls: 0.0407 detection_loss_reg: 0.4129 caption_loss_cls: 2.1747 instance_segmentation_loss_cls: 0.0280 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.7040 semantic_segmentation_loss_cls: 0.0098 2023/11/01 16:21:17 - mmengine - INFO - Iter(train) [371500/480000] base_lr: 2.5931e-05 lr: 8.2043e-06 eta: 2 days, 20:35:57 time: 2.3164 data_time: 0.1302 memory: 25792 grad_norm: 1.7011 loss: 1.2634 grounding_loss_reg: 2.5945 detection_loss_cls: 0.0403 detection_loss_reg: 0.4105 caption_loss_cls: 2.1787 instance_segmentation_loss_cls: 0.0279 instance_segmentation_loss_reg: 0.2771 instance_segmentation_loss_poly: 0.7036 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:21:17 - mmengine - INFO - Saving checkpoint at 371500 iterations 2023/11/01 16:25:40 - mmengine - INFO - Iter(train) [371600/480000] base_lr: 2.5889e-05 lr: 8.1934e-06 eta: 2 days, 20:38:11 time: 2.3107 data_time: 0.1308 memory: 25792 grad_norm: 1.7033 loss: 1.2653 grounding_loss_reg: 2.5947 detection_loss_cls: 0.0402 detection_loss_reg: 0.4107 caption_loss_cls: 2.1794 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7027 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:29:09 - mmengine - INFO - Iter(train) [371700/480000] base_lr: 2.5847e-05 lr: 8.1825e-06 eta: 2 days, 20:31:09 time: 2.3083 data_time: 0.1307 memory: 26632 grad_norm: 1.7048 loss: 1.2652 grounding_loss_reg: 2.5947 detection_loss_cls: 0.0402 detection_loss_reg: 0.4104 caption_loss_cls: 2.1803 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7018 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:32:53 - mmengine - INFO - Iter(train) [371800/480000] base_lr: 2.5804e-05 lr: 8.1715e-06 eta: 2 days, 20:26:47 time: 2.3091 data_time: 0.1307 memory: 26632 grad_norm: 1.7165 loss: 1.2702 grounding_loss_reg: 2.5942 detection_loss_cls: 0.0401 detection_loss_reg: 0.4097 caption_loss_cls: 2.1801 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.7026 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:36:31 - mmengine - INFO - Iter(train) [371900/480000] base_lr: 2.5762e-05 lr: 8.1606e-06 eta: 2 days, 20:21:23 time: 2.3114 data_time: 0.1307 memory: 25792 grad_norm: 1.7087 loss: 1.2538 grounding_loss_reg: 2.5919 detection_loss_cls: 0.0400 detection_loss_reg: 0.4086 caption_loss_cls: 2.1737 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2758 instance_segmentation_loss_poly: 0.7020 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:39:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 16:39:53 - mmengine - INFO - Iter(train) [372000/480000] base_lr: 2.5720e-05 lr: 8.1497e-06 eta: 2 days, 20:13:22 time: 2.3132 data_time: 0.1308 memory: 26632 grad_norm: 1.6992 loss: 1.2509 grounding_loss_reg: 2.5934 detection_loss_cls: 0.0400 detection_loss_reg: 0.4084 caption_loss_cls: 2.1738 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7021 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:39:53 - mmengine - INFO - Saving checkpoint at 372000 iterations 2023/11/01 16:44:38 - mmengine - INFO - Iter(train) [372100/480000] base_lr: 2.5678e-05 lr: 8.1388e-06 eta: 2 days, 20:18:54 time: 2.3145 data_time: 0.1312 memory: 25792 grad_norm: 1.6912 loss: 1.2439 grounding_loss_reg: 2.5921 detection_loss_cls: 0.0399 detection_loss_reg: 0.4073 caption_loss_cls: 2.1731 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7020 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:48:23 - mmengine - INFO - Iter(train) [372200/480000] base_lr: 2.5636e-05 lr: 8.1279e-06 eta: 2 days, 20:14:35 time: 2.3200 data_time: 0.1319 memory: 26632 grad_norm: 1.6944 loss: 1.2410 grounding_loss_reg: 2.5931 detection_loss_cls: 0.0398 detection_loss_reg: 0.4069 caption_loss_cls: 2.1716 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7020 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:51:53 - mmengine - INFO - Iter(train) [372300/480000] base_lr: 2.5594e-05 lr: 8.1170e-06 eta: 2 days, 20:07:53 time: 2.3134 data_time: 0.1319 memory: 25792 grad_norm: 1.6964 loss: 1.2423 grounding_loss_reg: 2.5913 detection_loss_cls: 0.0398 detection_loss_reg: 0.4058 caption_loss_cls: 2.1714 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7020 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:55:25 - mmengine - INFO - Iter(train) [372400/480000] base_lr: 2.5552e-05 lr: 8.1061e-06 eta: 2 days, 20:01:38 time: 2.3063 data_time: 0.1318 memory: 25792 grad_norm: 1.6967 loss: 1.2332 grounding_loss_reg: 2.5909 detection_loss_cls: 0.0398 detection_loss_reg: 0.4058 caption_loss_cls: 2.1709 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2740 instance_segmentation_loss_poly: 0.6985 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:59:05 - mmengine - INFO - Iter(train) [372500/480000] base_lr: 2.5510e-05 lr: 8.0952e-06 eta: 2 days, 19:56:38 time: 2.3020 data_time: 0.1318 memory: 25792 grad_norm: 1.6868 loss: 1.2268 grounding_loss_reg: 2.5909 detection_loss_cls: 0.0398 detection_loss_reg: 0.4063 caption_loss_cls: 2.1696 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2748 instance_segmentation_loss_poly: 0.6998 semantic_segmentation_loss_cls: 0.0097 2023/11/01 16:59:05 - mmengine - INFO - Saving checkpoint at 372500 iterations 2023/11/01 17:04:13 - mmengine - INFO - Iter(train) [372600/480000] base_lr: 2.5468e-05 lr: 8.0844e-06 eta: 2 days, 20:05:19 time: 2.3150 data_time: 0.1322 memory: 26632 grad_norm: 1.6943 loss: 1.2321 grounding_loss_reg: 2.5936 detection_loss_cls: 0.0400 detection_loss_reg: 0.4077 caption_loss_cls: 2.1695 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.6993 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:07:44 - mmengine - INFO - Iter(train) [372700/480000] base_lr: 2.5426e-05 lr: 8.0735e-06 eta: 2 days, 19:58:52 time: 2.3110 data_time: 0.1322 memory: 26632 grad_norm: 1.6866 loss: 1.2249 grounding_loss_reg: 2.5931 detection_loss_cls: 0.0401 detection_loss_reg: 0.4090 caption_loss_cls: 2.1725 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.6997 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:11:36 - mmengine - INFO - Iter(train) [372800/480000] base_lr: 2.5385e-05 lr: 8.0627e-06 eta: 2 days, 19:55:38 time: 2.3120 data_time: 0.1323 memory: 26632 grad_norm: 1.6736 loss: 1.2174 grounding_loss_reg: 2.5926 detection_loss_cls: 0.0402 detection_loss_reg: 0.4090 caption_loss_cls: 2.1713 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.6994 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:14:54 - mmengine - INFO - Iter(train) [372900/480000] base_lr: 2.5343e-05 lr: 8.0518e-06 eta: 2 days, 19:47:14 time: 2.3040 data_time: 0.1323 memory: 25792 grad_norm: 1.6739 loss: 1.2136 grounding_loss_reg: 2.5934 detection_loss_cls: 0.0402 detection_loss_reg: 0.4094 caption_loss_cls: 2.1695 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.6981 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:18:02 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 17:18:02 - mmengine - INFO - Iter(train) [373000/480000] base_lr: 2.5301e-05 lr: 8.0410e-06 eta: 2 days, 19:37:28 time: 2.2969 data_time: 0.1323 memory: 26632 grad_norm: 1.6869 loss: 1.2178 grounding_loss_reg: 2.5930 detection_loss_cls: 0.0403 detection_loss_reg: 0.4099 caption_loss_cls: 2.1718 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.6975 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:18:02 - mmengine - INFO - Saving checkpoint at 373000 iterations 2023/11/01 17:22:46 - mmengine - INFO - Iter(train) [373100/480000] base_lr: 2.5259e-05 lr: 8.0302e-06 eta: 2 days, 19:42:00 time: 2.2875 data_time: 0.1325 memory: 26632 grad_norm: 1.6859 loss: 1.2209 grounding_loss_reg: 2.5943 detection_loss_cls: 0.0402 detection_loss_reg: 0.4098 caption_loss_cls: 2.1717 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.6977 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:25:59 - mmengine - INFO - Iter(train) [373200/480000] base_lr: 2.5218e-05 lr: 8.0194e-06 eta: 2 days, 19:33:05 time: 2.2841 data_time: 0.1325 memory: 25792 grad_norm: 1.6858 loss: 1.2251 grounding_loss_reg: 2.5933 detection_loss_cls: 0.0403 detection_loss_reg: 0.4103 caption_loss_cls: 2.1717 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.6983 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:29:53 - mmengine - INFO - Iter(train) [373300/480000] base_lr: 2.5176e-05 lr: 8.0086e-06 eta: 2 days, 19:30:12 time: 2.2850 data_time: 0.1326 memory: 26632 grad_norm: 1.6924 loss: 1.2287 grounding_loss_reg: 2.5922 detection_loss_cls: 0.0404 detection_loss_reg: 0.4107 caption_loss_cls: 2.1725 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.6957 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:33:36 - mmengine - INFO - Iter(train) [373400/480000] base_lr: 2.5134e-05 lr: 7.9978e-06 eta: 2 days, 19:25:44 time: 2.2859 data_time: 0.1327 memory: 25792 grad_norm: 1.6886 loss: 1.2319 grounding_loss_reg: 2.5932 detection_loss_cls: 0.0404 detection_loss_reg: 0.4094 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.6964 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:37:12 - mmengine - INFO - Iter(train) [373500/480000] base_lr: 2.5093e-05 lr: 7.9870e-06 eta: 2 days, 19:20:20 time: 2.2871 data_time: 0.1327 memory: 25792 grad_norm: 1.6848 loss: 1.2338 grounding_loss_reg: 2.5933 detection_loss_cls: 0.0403 detection_loss_reg: 0.4088 caption_loss_cls: 2.1694 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.6970 semantic_segmentation_loss_cls: 0.0098 2023/11/01 17:37:12 - mmengine - INFO - Saving checkpoint at 373500 iterations 2023/11/01 17:41:56 - mmengine - INFO - Iter(train) [373600/480000] base_lr: 2.5051e-05 lr: 7.9762e-06 eta: 2 days, 19:24:26 time: 2.2856 data_time: 0.1337 memory: 25792 grad_norm: 1.6941 loss: 1.2446 grounding_loss_reg: 2.5951 detection_loss_cls: 0.0403 detection_loss_reg: 0.4079 caption_loss_cls: 2.1736 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.6981 semantic_segmentation_loss_cls: 0.0098 2023/11/01 17:45:21 - mmengine - INFO - Iter(train) [373700/480000] base_lr: 2.5010e-05 lr: 7.9654e-06 eta: 2 days, 19:17:26 time: 2.2837 data_time: 0.1337 memory: 26632 grad_norm: 1.6972 loss: 1.2418 grounding_loss_reg: 2.5936 detection_loss_cls: 0.0402 detection_loss_reg: 0.4075 caption_loss_cls: 2.1755 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.7000 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:49:25 - mmengine - INFO - Iter(train) [373800/480000] base_lr: 2.4968e-05 lr: 7.9547e-06 eta: 2 days, 19:15:51 time: 2.2909 data_time: 0.1338 memory: 26632 grad_norm: 1.6737 loss: 1.2285 grounding_loss_reg: 2.5933 detection_loss_cls: 0.0402 detection_loss_reg: 0.4075 caption_loss_cls: 2.1764 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2755 instance_segmentation_loss_poly: 0.6998 semantic_segmentation_loss_cls: 0.0098 2023/11/01 17:53:12 - mmengine - INFO - Iter(train) [373900/480000] base_lr: 2.4927e-05 lr: 7.9439e-06 eta: 2 days, 19:11:54 time: 2.2927 data_time: 0.1338 memory: 26632 grad_norm: 1.6700 loss: 1.2304 grounding_loss_reg: 2.5937 detection_loss_cls: 0.0402 detection_loss_reg: 0.4082 caption_loss_cls: 2.1776 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.6993 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:56:23 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 17:56:23 - mmengine - INFO - Iter(train) [374000/480000] base_lr: 2.4885e-05 lr: 7.9332e-06 eta: 2 days, 19:02:56 time: 2.2828 data_time: 0.1338 memory: 26632 grad_norm: 1.6700 loss: 1.2318 grounding_loss_reg: 2.5920 detection_loss_cls: 0.0401 detection_loss_reg: 0.4075 caption_loss_cls: 2.1773 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.6997 semantic_segmentation_loss_cls: 0.0097 2023/11/01 17:56:23 - mmengine - INFO - Saving checkpoint at 374000 iterations 2023/11/01 18:01:10 - mmengine - INFO - Iter(train) [374100/480000] base_lr: 2.4844e-05 lr: 7.9224e-06 eta: 2 days, 19:07:14 time: 2.2967 data_time: 0.1504 memory: 26632 grad_norm: 1.6666 loss: 1.2311 grounding_loss_reg: 2.5915 detection_loss_cls: 0.0401 detection_loss_reg: 0.4081 caption_loss_cls: 2.1738 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7008 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:04:35 - mmengine - INFO - Iter(train) [374200/480000] base_lr: 2.4802e-05 lr: 7.9117e-06 eta: 2 days, 19:00:16 time: 2.2957 data_time: 0.1503 memory: 25792 grad_norm: 1.6651 loss: 1.2347 grounding_loss_reg: 2.5921 detection_loss_cls: 0.0399 detection_loss_reg: 0.4075 caption_loss_cls: 2.1742 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7009 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:07:56 - mmengine - INFO - Iter(train) [374300/480000] base_lr: 2.4761e-05 lr: 7.9010e-06 eta: 2 days, 18:52:57 time: 2.2876 data_time: 0.1503 memory: 26632 grad_norm: 1.6653 loss: 1.2363 grounding_loss_reg: 2.5919 detection_loss_cls: 0.0400 detection_loss_reg: 0.4078 caption_loss_cls: 2.1709 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7008 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:11:53 - mmengine - INFO - Iter(train) [374400/480000] base_lr: 2.4720e-05 lr: 7.8903e-06 eta: 2 days, 18:50:21 time: 2.2948 data_time: 0.1504 memory: 26632 grad_norm: 1.6564 loss: 1.2342 grounding_loss_reg: 2.5907 detection_loss_cls: 0.0400 detection_loss_reg: 0.4077 caption_loss_cls: 2.1732 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7026 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:15:25 - mmengine - INFO - Iter(train) [374500/480000] base_lr: 2.4678e-05 lr: 7.8796e-06 eta: 2 days, 18:44:28 time: 2.2961 data_time: 0.1505 memory: 26632 grad_norm: 1.6565 loss: 1.2307 grounding_loss_reg: 2.5913 detection_loss_cls: 0.0400 detection_loss_reg: 0.4082 caption_loss_cls: 2.1746 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.7006 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:15:25 - mmengine - INFO - Saving checkpoint at 374500 iterations 2023/11/01 18:19:57 - mmengine - INFO - Iter(train) [374600/480000] base_lr: 2.4637e-05 lr: 7.8689e-06 eta: 2 days, 18:46:21 time: 2.2880 data_time: 0.1490 memory: 25792 grad_norm: 1.6544 loss: 1.2229 grounding_loss_reg: 2.5899 detection_loss_cls: 0.0400 detection_loss_reg: 0.4082 caption_loss_cls: 2.1734 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.6993 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:23:36 - mmengine - INFO - Iter(train) [374700/480000] base_lr: 2.4596e-05 lr: 7.8582e-06 eta: 2 days, 18:41:24 time: 2.2921 data_time: 0.1491 memory: 26632 grad_norm: 1.6508 loss: 1.2250 grounding_loss_reg: 2.5891 detection_loss_cls: 0.0401 detection_loss_reg: 0.4087 caption_loss_cls: 2.1753 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7002 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:27:29 - mmengine - INFO - Iter(train) [374800/480000] base_lr: 2.4555e-05 lr: 7.8475e-06 eta: 2 days, 18:38:14 time: 2.2870 data_time: 0.1491 memory: 25792 grad_norm: 1.6486 loss: 1.2268 grounding_loss_reg: 2.5886 detection_loss_cls: 0.0401 detection_loss_reg: 0.4096 caption_loss_cls: 2.1770 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.6999 semantic_segmentation_loss_cls: 0.0098 2023/11/01 18:31:12 - mmengine - INFO - Iter(train) [374900/480000] base_lr: 2.4513e-05 lr: 7.8368e-06 eta: 2 days, 18:33:44 time: 2.2917 data_time: 0.1493 memory: 25792 grad_norm: 1.6490 loss: 1.2312 grounding_loss_reg: 2.5871 detection_loss_cls: 0.0401 detection_loss_reg: 0.4096 caption_loss_cls: 2.1790 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7003 semantic_segmentation_loss_cls: 0.0098 2023/11/01 18:34:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 18:34:54 - mmengine - INFO - Iter(train) [375000/480000] base_lr: 2.4472e-05 lr: 7.8262e-06 eta: 2 days, 18:29:09 time: 2.2914 data_time: 0.1493 memory: 26632 grad_norm: 1.6467 loss: 1.2279 grounding_loss_reg: 2.5851 detection_loss_cls: 0.0401 detection_loss_reg: 0.4096 caption_loss_cls: 2.1794 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.6992 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:34:54 - mmengine - INFO - Saving checkpoint at 375000 iterations 2023/11/01 18:39:34 - mmengine - INFO - Iter(train) [375100/480000] base_lr: 2.4431e-05 lr: 7.8155e-06 eta: 2 days, 18:31:53 time: 2.2840 data_time: 0.1486 memory: 26632 grad_norm: 1.6485 loss: 1.2325 grounding_loss_reg: 2.5872 detection_loss_cls: 0.0402 detection_loss_reg: 0.4103 caption_loss_cls: 2.1784 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.7002 semantic_segmentation_loss_cls: 0.0097 2023/11/01 18:43:25 - mmengine - INFO - Iter(train) [375200/480000] base_lr: 2.4390e-05 lr: 7.8049e-06 eta: 2 days, 18:28:20 time: 2.2836 data_time: 0.1486 memory: 25792 grad_norm: 1.6559 loss: 1.2431 grounding_loss_reg: 2.5879 detection_loss_cls: 0.0403 detection_loss_reg: 0.4102 caption_loss_cls: 2.1831 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7004 semantic_segmentation_loss_cls: 0.0098 2023/11/01 18:47:08 - mmengine - INFO - Iter(train) [375300/480000] base_lr: 2.4349e-05 lr: 7.7942e-06 eta: 2 days, 18:23:56 time: 2.2865 data_time: 0.1487 memory: 25792 grad_norm: 1.6617 loss: 1.2488 grounding_loss_reg: 2.5889 detection_loss_cls: 0.0403 detection_loss_reg: 0.4108 caption_loss_cls: 2.1836 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7022 semantic_segmentation_loss_cls: 0.0098 2023/11/01 18:50:45 - mmengine - INFO - Iter(train) [375400/480000] base_lr: 2.4308e-05 lr: 7.7836e-06 eta: 2 days, 18:18:42 time: 2.2976 data_time: 0.1487 memory: 25792 grad_norm: 1.6445 loss: 1.2364 grounding_loss_reg: 2.5901 detection_loss_cls: 0.0405 detection_loss_reg: 0.4110 caption_loss_cls: 2.1803 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2765 instance_segmentation_loss_poly: 0.7016 semantic_segmentation_loss_cls: 0.0098 2023/11/01 18:54:38 - mmengine - INFO - Iter(train) [375500/480000] base_lr: 2.4267e-05 lr: 7.7730e-06 eta: 2 days, 18:15:27 time: 2.2995 data_time: 0.1486 memory: 26632 grad_norm: 1.6390 loss: 1.2315 grounding_loss_reg: 2.5883 detection_loss_cls: 0.0405 detection_loss_reg: 0.4120 caption_loss_cls: 2.1814 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7020 semantic_segmentation_loss_cls: 0.0098 2023/11/01 18:54:38 - mmengine - INFO - Saving checkpoint at 375500 iterations 2023/11/01 18:59:30 - mmengine - INFO - Iter(train) [375600/480000] base_lr: 2.4226e-05 lr: 7.7624e-06 eta: 2 days, 18:19:14 time: 2.3067 data_time: 0.1487 memory: 25792 grad_norm: 1.6345 loss: 1.2285 grounding_loss_reg: 2.5864 detection_loss_cls: 0.0407 detection_loss_reg: 0.4129 caption_loss_cls: 2.1831 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7023 semantic_segmentation_loss_cls: 0.0098 2023/11/01 19:03:02 - mmengine - INFO - Iter(train) [375700/480000] base_lr: 2.4185e-05 lr: 7.7518e-06 eta: 2 days, 18:13:24 time: 2.3074 data_time: 0.1487 memory: 25792 grad_norm: 1.6397 loss: 1.2284 grounding_loss_reg: 2.5837 detection_loss_cls: 0.0408 detection_loss_reg: 0.4137 caption_loss_cls: 2.1787 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7016 semantic_segmentation_loss_cls: 0.0098 2023/11/01 19:06:48 - mmengine - INFO - Iter(train) [375800/480000] base_lr: 2.4145e-05 lr: 7.7412e-06 eta: 2 days, 18:09:22 time: 2.3080 data_time: 0.1487 memory: 26632 grad_norm: 1.6332 loss: 1.2279 grounding_loss_reg: 2.5832 detection_loss_cls: 0.0409 detection_loss_reg: 0.4150 caption_loss_cls: 2.1794 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7015 semantic_segmentation_loss_cls: 0.0098 2023/11/01 19:10:38 - mmengine - INFO - Iter(train) [375900/480000] base_lr: 2.4104e-05 lr: 7.7306e-06 eta: 2 days, 18:05:41 time: 2.3109 data_time: 0.1487 memory: 26632 grad_norm: 1.6374 loss: 1.2409 grounding_loss_reg: 2.5827 detection_loss_cls: 0.0410 detection_loss_reg: 0.4160 caption_loss_cls: 2.1835 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2753 instance_segmentation_loss_poly: 0.6993 semantic_segmentation_loss_cls: 0.0098 2023/11/01 19:14:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 19:14:16 - mmengine - INFO - Iter(train) [376000/480000] base_lr: 2.4063e-05 lr: 7.7200e-06 eta: 2 days, 18:00:36 time: 2.3148 data_time: 0.1487 memory: 26632 grad_norm: 1.6413 loss: 1.2450 grounding_loss_reg: 2.5808 detection_loss_cls: 0.0411 detection_loss_reg: 0.4161 caption_loss_cls: 2.1861 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2755 instance_segmentation_loss_poly: 0.6997 semantic_segmentation_loss_cls: 0.0098 2023/11/01 19:14:16 - mmengine - INFO - Saving checkpoint at 376000 iterations 2023/11/01 19:19:08 - mmengine - INFO - Iter(train) [376100/480000] base_lr: 2.4022e-05 lr: 7.7095e-06 eta: 2 days, 18:04:08 time: 2.3167 data_time: 0.1490 memory: 25792 grad_norm: 1.6393 loss: 1.2438 grounding_loss_reg: 2.5837 detection_loss_cls: 0.0409 detection_loss_reg: 0.4151 caption_loss_cls: 2.1833 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.6992 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:22:53 - mmengine - INFO - Iter(train) [376200/480000] base_lr: 2.3981e-05 lr: 7.6989e-06 eta: 2 days, 17:59:53 time: 2.3168 data_time: 0.1485 memory: 26632 grad_norm: 1.6288 loss: 1.2434 grounding_loss_reg: 2.5828 detection_loss_cls: 0.0410 detection_loss_reg: 0.4161 caption_loss_cls: 2.1842 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2745 instance_segmentation_loss_poly: 0.6995 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:26:14 - mmengine - INFO - Iter(train) [376300/480000] base_lr: 2.3941e-05 lr: 7.6883e-06 eta: 2 days, 17:52:49 time: 2.3144 data_time: 0.1485 memory: 25792 grad_norm: 1.6320 loss: 1.2434 grounding_loss_reg: 2.5836 detection_loss_cls: 0.0410 detection_loss_reg: 0.4162 caption_loss_cls: 2.1809 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.6991 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:30:08 - mmengine - INFO - Iter(train) [376400/480000] base_lr: 2.3900e-05 lr: 7.6778e-06 eta: 2 days, 17:49:35 time: 2.3199 data_time: 0.1486 memory: 25792 grad_norm: 1.6301 loss: 1.2458 grounding_loss_reg: 2.5840 detection_loss_cls: 0.0410 detection_loss_reg: 0.4161 caption_loss_cls: 2.1769 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.6993 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:33:55 - mmengine - INFO - Iter(train) [376500/480000] base_lr: 2.3859e-05 lr: 7.6673e-06 eta: 2 days, 17:45:34 time: 2.3217 data_time: 0.1486 memory: 26632 grad_norm: 1.6414 loss: 1.2536 grounding_loss_reg: 2.5814 detection_loss_cls: 0.0410 detection_loss_reg: 0.4161 caption_loss_cls: 2.1778 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.6993 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:33:55 - mmengine - INFO - Saving checkpoint at 376500 iterations 2023/11/01 19:38:45 - mmengine - INFO - Iter(train) [376600/480000] base_lr: 2.3819e-05 lr: 7.6567e-06 eta: 2 days, 17:48:32 time: 2.3171 data_time: 0.1491 memory: 26632 grad_norm: 1.6277 loss: 1.2465 grounding_loss_reg: 2.5826 detection_loss_cls: 0.0410 detection_loss_reg: 0.4165 caption_loss_cls: 2.1748 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.6989 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:42:18 - mmengine - INFO - Iter(train) [376700/480000] base_lr: 2.3778e-05 lr: 7.6462e-06 eta: 2 days, 17:42:58 time: 2.3177 data_time: 0.1492 memory: 26632 grad_norm: 1.6344 loss: 1.2518 grounding_loss_reg: 2.5817 detection_loss_cls: 0.0410 detection_loss_reg: 0.4168 caption_loss_cls: 2.1755 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.6997 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:45:59 - mmengine - INFO - Iter(train) [376800/480000] base_lr: 2.3738e-05 lr: 7.6357e-06 eta: 2 days, 17:38:14 time: 2.3149 data_time: 0.1491 memory: 26632 grad_norm: 1.6380 loss: 1.2547 grounding_loss_reg: 2.5828 detection_loss_cls: 0.0411 detection_loss_reg: 0.4176 caption_loss_cls: 2.1739 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.6990 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:49:31 - mmengine - INFO - Iter(train) [376900/480000] base_lr: 2.3697e-05 lr: 7.6252e-06 eta: 2 days, 17:32:37 time: 2.3186 data_time: 0.1499 memory: 26632 grad_norm: 1.6399 loss: 1.2597 grounding_loss_reg: 2.5817 detection_loss_cls: 0.0411 detection_loss_reg: 0.4184 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.6973 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:53:10 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 19:53:10 - mmengine - INFO - Iter(train) [377000/480000] base_lr: 2.3657e-05 lr: 7.6147e-06 eta: 2 days, 17:27:42 time: 2.3263 data_time: 0.1500 memory: 26632 grad_norm: 1.6253 loss: 1.2530 grounding_loss_reg: 2.5809 detection_loss_cls: 0.0411 detection_loss_reg: 0.4181 caption_loss_cls: 2.1687 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.6970 semantic_segmentation_loss_cls: 0.0097 2023/11/01 19:53:10 - mmengine - INFO - Saving checkpoint at 377000 iterations 2023/11/01 19:57:54 - mmengine - INFO - Iter(train) [377100/480000] base_lr: 2.3616e-05 lr: 7.6043e-06 eta: 2 days, 17:29:51 time: 2.3264 data_time: 0.1505 memory: 25792 grad_norm: 1.6331 loss: 1.2514 grounding_loss_reg: 2.5785 detection_loss_cls: 0.0411 detection_loss_reg: 0.4174 caption_loss_cls: 2.1667 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.6971 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:01:31 - mmengine - INFO - Iter(train) [377200/480000] base_lr: 2.3576e-05 lr: 7.5938e-06 eta: 2 days, 17:24:43 time: 2.3324 data_time: 0.1505 memory: 26632 grad_norm: 1.6377 loss: 1.2491 grounding_loss_reg: 2.5768 detection_loss_cls: 0.0411 detection_loss_reg: 0.4164 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.6969 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:04:41 - mmengine - INFO - Iter(train) [377300/480000] base_lr: 2.3536e-05 lr: 7.5833e-06 eta: 2 days, 17:16:47 time: 2.3214 data_time: 0.1504 memory: 26632 grad_norm: 1.6392 loss: 1.2491 grounding_loss_reg: 2.5776 detection_loss_cls: 0.0411 detection_loss_reg: 0.4164 caption_loss_cls: 2.1662 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.6959 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:08:10 - mmengine - INFO - Iter(train) [377400/480000] base_lr: 2.3495e-05 lr: 7.5729e-06 eta: 2 days, 17:10:52 time: 2.3178 data_time: 0.1503 memory: 25792 grad_norm: 1.6513 loss: 1.2576 grounding_loss_reg: 2.5778 detection_loss_cls: 0.0410 detection_loss_reg: 0.4163 caption_loss_cls: 2.1679 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.6962 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:12:02 - mmengine - INFO - Iter(train) [377500/480000] base_lr: 2.3455e-05 lr: 7.5624e-06 eta: 2 days, 17:07:23 time: 2.3217 data_time: 0.1504 memory: 25792 grad_norm: 1.6562 loss: 1.2577 grounding_loss_reg: 2.5772 detection_loss_cls: 0.0410 detection_loss_reg: 0.4162 caption_loss_cls: 2.1669 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.6975 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:12:02 - mmengine - INFO - Saving checkpoint at 377500 iterations 2023/11/01 20:17:02 - mmengine - INFO - Iter(train) [377600/480000] base_lr: 2.3415e-05 lr: 7.5520e-06 eta: 2 days, 17:10:52 time: 2.3256 data_time: 0.1502 memory: 26632 grad_norm: 1.6441 loss: 1.2487 grounding_loss_reg: 2.5761 detection_loss_cls: 0.0411 detection_loss_reg: 0.4171 caption_loss_cls: 2.1673 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.6975 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:20:10 - mmengine - INFO - Iter(train) [377700/480000] base_lr: 2.3375e-05 lr: 7.5415e-06 eta: 2 days, 17:02:49 time: 2.3213 data_time: 0.1501 memory: 25792 grad_norm: 1.6445 loss: 1.2468 grounding_loss_reg: 2.5746 detection_loss_cls: 0.0411 detection_loss_reg: 0.4176 caption_loss_cls: 2.1652 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.6982 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:23:45 - mmengine - INFO - Iter(train) [377800/480000] base_lr: 2.3334e-05 lr: 7.5311e-06 eta: 2 days, 16:57:41 time: 2.3143 data_time: 0.1501 memory: 25792 grad_norm: 1.6635 loss: 1.2565 grounding_loss_reg: 2.5738 detection_loss_cls: 0.0412 detection_loss_reg: 0.4185 caption_loss_cls: 2.1678 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.6971 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:26:46 - mmengine - INFO - Iter(train) [377900/480000] base_lr: 2.3294e-05 lr: 7.5207e-06 eta: 2 days, 16:49:03 time: 2.3028 data_time: 0.1501 memory: 26632 grad_norm: 1.6740 loss: 1.2548 grounding_loss_reg: 2.5715 detection_loss_cls: 0.0411 detection_loss_reg: 0.4184 caption_loss_cls: 2.1648 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2728 instance_segmentation_loss_poly: 0.6963 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:30:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 20:30:17 - mmengine - INFO - Iter(train) [378000/480000] base_lr: 2.3254e-05 lr: 7.5103e-06 eta: 2 days, 16:43:26 time: 2.3079 data_time: 0.1501 memory: 26632 grad_norm: 1.6727 loss: 1.2552 grounding_loss_reg: 2.5742 detection_loss_cls: 0.0411 detection_loss_reg: 0.4175 caption_loss_cls: 2.1626 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.6958 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:30:17 - mmengine - INFO - Saving checkpoint at 378000 iterations 2023/11/01 20:34:49 - mmengine - INFO - Iter(train) [378100/480000] base_lr: 2.3214e-05 lr: 7.4999e-06 eta: 2 days, 16:43:54 time: 2.3038 data_time: 0.1500 memory: 25792 grad_norm: 1.6786 loss: 1.2585 grounding_loss_reg: 2.5753 detection_loss_cls: 0.0413 detection_loss_reg: 0.4185 caption_loss_cls: 2.1613 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.6955 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:38:06 - mmengine - INFO - Iter(train) [378200/480000] base_lr: 2.3174e-05 lr: 7.4895e-06 eta: 2 days, 16:36:57 time: 2.3019 data_time: 0.1501 memory: 25792 grad_norm: 1.6798 loss: 1.2555 grounding_loss_reg: 2.5731 detection_loss_cls: 0.0413 detection_loss_reg: 0.4181 caption_loss_cls: 2.1612 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.6945 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:41:45 - mmengine - INFO - Iter(train) [378300/480000] base_lr: 2.3134e-05 lr: 7.4791e-06 eta: 2 days, 16:32:17 time: 2.3065 data_time: 0.1501 memory: 26632 grad_norm: 1.6797 loss: 1.2530 grounding_loss_reg: 2.5741 detection_loss_cls: 0.0411 detection_loss_reg: 0.4175 caption_loss_cls: 2.1596 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.6956 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:45:11 - mmengine - INFO - Iter(train) [378400/480000] base_lr: 2.3094e-05 lr: 7.4688e-06 eta: 2 days, 16:26:12 time: 2.2986 data_time: 0.1500 memory: 25792 grad_norm: 1.6844 loss: 1.2524 grounding_loss_reg: 2.5732 detection_loss_cls: 0.0410 detection_loss_reg: 0.4175 caption_loss_cls: 2.1568 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2722 instance_segmentation_loss_poly: 0.6958 semantic_segmentation_loss_cls: 0.0096 2023/11/01 20:48:41 - mmengine - INFO - Iter(train) [378500/480000] base_lr: 2.3054e-05 lr: 7.4584e-06 eta: 2 days, 16:20:40 time: 2.2982 data_time: 0.1500 memory: 26632 grad_norm: 1.6800 loss: 1.2478 grounding_loss_reg: 2.5711 detection_loss_cls: 0.0410 detection_loss_reg: 0.4176 caption_loss_cls: 2.1562 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.6950 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:48:41 - mmengine - INFO - Saving checkpoint at 378500 iterations 2023/11/01 20:53:25 - mmengine - INFO - Iter(train) [378600/480000] base_lr: 2.3014e-05 lr: 7.4481e-06 eta: 2 days, 16:22:10 time: 2.3011 data_time: 0.1507 memory: 25792 grad_norm: 1.6856 loss: 1.2489 grounding_loss_reg: 2.5694 detection_loss_cls: 0.0410 detection_loss_reg: 0.4179 caption_loss_cls: 2.1525 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.6946 semantic_segmentation_loss_cls: 0.0097 2023/11/01 20:57:23 - mmengine - INFO - Iter(train) [378700/480000] base_lr: 2.2974e-05 lr: 7.4377e-06 eta: 2 days, 16:19:21 time: 2.3061 data_time: 0.1507 memory: 26632 grad_norm: 1.6765 loss: 1.2443 grounding_loss_reg: 2.5690 detection_loss_cls: 0.0410 detection_loss_reg: 0.4181 caption_loss_cls: 2.1537 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6941 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:01:00 - mmengine - INFO - Iter(train) [378800/480000] base_lr: 2.2934e-05 lr: 7.4274e-06 eta: 2 days, 16:14:21 time: 2.3019 data_time: 0.1506 memory: 26632 grad_norm: 1.6848 loss: 1.2466 grounding_loss_reg: 2.5684 detection_loss_cls: 0.0409 detection_loss_reg: 0.4177 caption_loss_cls: 2.1547 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.6941 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:04:11 - mmengine - INFO - Iter(train) [378900/480000] base_lr: 2.2894e-05 lr: 7.4171e-06 eta: 2 days, 16:07:03 time: 2.2941 data_time: 0.1505 memory: 25792 grad_norm: 1.6971 loss: 1.2535 grounding_loss_reg: 2.5678 detection_loss_cls: 0.0409 detection_loss_reg: 0.4175 caption_loss_cls: 2.1589 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6938 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:08:08 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 21:08:08 - mmengine - INFO - Iter(train) [379000/480000] base_lr: 2.2855e-05 lr: 7.4067e-06 eta: 2 days, 16:04:00 time: 2.2977 data_time: 0.1505 memory: 26632 grad_norm: 1.6912 loss: 1.2549 grounding_loss_reg: 2.5685 detection_loss_cls: 0.0407 detection_loss_reg: 0.4169 caption_loss_cls: 2.1606 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6947 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:08:08 - mmengine - INFO - Saving checkpoint at 379000 iterations 2023/11/01 21:13:39 - mmengine - INFO - Iter(train) [379100/480000] base_lr: 2.2815e-05 lr: 7.3964e-06 eta: 2 days, 16:09:47 time: 2.3105 data_time: 0.1523 memory: 25792 grad_norm: 1.6916 loss: 1.2564 grounding_loss_reg: 2.5679 detection_loss_cls: 0.0407 detection_loss_reg: 0.4166 caption_loss_cls: 2.1662 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6939 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:16:54 - mmengine - INFO - Iter(train) [379200/480000] base_lr: 2.2775e-05 lr: 7.3861e-06 eta: 2 days, 16:02:48 time: 2.3015 data_time: 0.1522 memory: 25792 grad_norm: 1.6974 loss: 1.2562 grounding_loss_reg: 2.5678 detection_loss_cls: 0.0407 detection_loss_reg: 0.4169 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6939 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:20:49 - mmengine - INFO - Iter(train) [379300/480000] base_lr: 2.2735e-05 lr: 7.3758e-06 eta: 2 days, 15:59:35 time: 2.3045 data_time: 0.1525 memory: 26632 grad_norm: 1.6975 loss: 1.2491 grounding_loss_reg: 2.5661 detection_loss_cls: 0.0405 detection_loss_reg: 0.4163 caption_loss_cls: 2.1656 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6937 semantic_segmentation_loss_cls: 0.0096 2023/11/01 21:24:36 - mmengine - INFO - Iter(train) [379400/480000] base_lr: 2.2696e-05 lr: 7.3655e-06 eta: 2 days, 15:55:37 time: 2.3071 data_time: 0.1525 memory: 26632 grad_norm: 1.6878 loss: 1.2489 grounding_loss_reg: 2.5667 detection_loss_cls: 0.0405 detection_loss_reg: 0.4161 caption_loss_cls: 2.1680 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6935 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:28:19 - mmengine - INFO - Iter(train) [379500/480000] base_lr: 2.2656e-05 lr: 7.3553e-06 eta: 2 days, 15:51:16 time: 2.3046 data_time: 0.1526 memory: 26632 grad_norm: 1.6975 loss: 1.2473 grounding_loss_reg: 2.5673 detection_loss_cls: 0.0404 detection_loss_reg: 0.4154 caption_loss_cls: 2.1637 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6937 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:28:19 - mmengine - INFO - Saving checkpoint at 379500 iterations 2023/11/01 21:32:59 - mmengine - INFO - Iter(train) [379600/480000] base_lr: 2.2616e-05 lr: 7.3450e-06 eta: 2 days, 15:52:00 time: 2.3015 data_time: 0.1522 memory: 26632 grad_norm: 1.6885 loss: 1.2372 grounding_loss_reg: 2.5641 detection_loss_cls: 0.0404 detection_loss_reg: 0.4161 caption_loss_cls: 2.1637 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6933 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:36:31 - mmengine - INFO - Iter(train) [379700/480000] base_lr: 2.2577e-05 lr: 7.3348e-06 eta: 2 days, 15:46:42 time: 2.3016 data_time: 0.1522 memory: 26632 grad_norm: 1.6840 loss: 1.2384 grounding_loss_reg: 2.5659 detection_loss_cls: 0.0404 detection_loss_reg: 0.4156 caption_loss_cls: 2.1635 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6927 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:40:21 - mmengine - INFO - Iter(train) [379800/480000] base_lr: 2.2537e-05 lr: 7.3245e-06 eta: 2 days, 15:42:55 time: 2.3023 data_time: 0.1521 memory: 25792 grad_norm: 1.6796 loss: 1.2326 grounding_loss_reg: 2.5647 detection_loss_cls: 0.0406 detection_loss_reg: 0.4158 caption_loss_cls: 2.1657 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6915 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:43:43 - mmengine - INFO - Iter(train) [379900/480000] base_lr: 2.2498e-05 lr: 7.3143e-06 eta: 2 days, 15:36:48 time: 2.2956 data_time: 0.1522 memory: 25792 grad_norm: 1.6825 loss: 1.2273 grounding_loss_reg: 2.5642 detection_loss_cls: 0.0405 detection_loss_reg: 0.4158 caption_loss_cls: 2.1675 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6909 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:47:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 21:47:05 - mmengine - INFO - Iter(train) [380000/480000] base_lr: 2.2458e-05 lr: 7.3040e-06 eta: 2 days, 15:30:37 time: 2.2917 data_time: 0.1521 memory: 26632 grad_norm: 1.6787 loss: 1.2230 grounding_loss_reg: 2.5620 detection_loss_cls: 0.0405 detection_loss_reg: 0.4156 caption_loss_cls: 2.1693 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6907 semantic_segmentation_loss_cls: 0.0095 2023/11/01 21:47:05 - mmengine - INFO - Saving checkpoint at 380000 iterations 2023/11/01 21:52:59 - mmengine - INFO - Evaluating bbox... 2023/11/01 21:54:01 - mmengine - INFO - bbox_mAP_copypaste: 0.527 0.704 0.576 0.370 0.573 0.677 2023/11/01 21:54:01 - mmengine - INFO - Evaluating segm... 2023/11/01 21:55:18 - mmengine - INFO - segm_mAP_copypaste: 0.353 0.617 0.352 0.203 0.401 0.546 2023/11/01 21:56:42 - mmengine - INFO - Evaluating bbox... 2023/11/01 21:57:49 - mmengine - INFO - bbox_mAP_copypaste: 0.528 0.705 0.576 0.368 0.573 0.677 2023/11/01 22:01:17 - mmengine - INFO - per class results: 2023/11/01 22:01:17 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.78 | 89.41 | | building | 82.85 | 90.87 | | sky | 93.48 | 97.56 | | floor | 83.01 | 89.66 | | tree | 74.49 | 89.12 | | ceiling | 84.79 | 94.62 | | road | 85.17 | 90.57 | | bed | 89.7 | 95.13 | | windowpane | 63.67 | 80.58 | | grass | 66.88 | 83.0 | | cabinet | 62.64 | 71.28 | | sidewalk | 69.08 | 82.31 | | person | 81.54 | 91.74 | | earth | 35.77 | 42.79 | | door | 52.99 | 64.4 | | table | 65.19 | 80.81 | | mountain | 63.11 | 78.55 | | plant | 52.54 | 66.69 | | curtain | 73.1 | 88.4 | | chair | 59.38 | 74.32 | | car | 82.75 | 92.39 | | water | 56.4 | 69.66 | | painting | 73.31 | 86.05 | | sofa | 73.88 | 86.93 | | shelf | 46.87 | 65.97 | | house | 41.89 | 66.89 | | sea | 68.27 | 90.77 | | mirror | 68.99 | 79.37 | | rug | 70.24 | 84.96 | | field | 29.27 | 52.53 | | armchair | 51.16 | 66.47 | | seat | 65.49 | 85.19 | | fence | 44.37 | 58.47 | | desk | 53.0 | 72.88 | | rock | 50.12 | 66.46 | | wardrobe | 54.84 | 72.9 | | lamp | 62.27 | 73.63 | | bathtub | 86.42 | 90.35 | | railing | 35.82 | 50.92 | | cushion | 61.45 | 75.71 | | base | 27.65 | 43.33 | | box | 31.91 | 42.62 | | column | 47.09 | 59.8 | | signboard | 38.66 | 53.37 | | chest of drawers | 47.38 | 73.55 | | counter | 29.57 | 36.21 | | sand | 57.41 | 82.93 | | sink | 76.24 | 84.7 | | skyscraper | 50.63 | 58.57 | | fireplace | 70.53 | 88.53 | | refrigerator | 77.48 | 86.13 | | grandstand | 44.3 | 81.97 | | path | 28.37 | 41.44 | | stairs | 33.58 | 43.13 | | runway | 75.63 | 94.05 | | case | 58.07 | 75.52 | | pool table | 89.19 | 95.83 | | pillow | 53.09 | 63.32 | | screen door | 77.1 | 80.58 | | stairway | 34.96 | 44.85 | | river | 14.82 | 26.67 | | bridge | 71.22 | 86.07 | | bookcase | 38.84 | 56.44 | | blind | 41.89 | 46.5 | | coffee table | 64.45 | 80.13 | | toilet | 86.94 | 92.27 | | flower | 34.04 | 49.17 | | book | 46.65 | 69.03 | | hill | 9.25 | 18.83 | | bench | 50.82 | 63.87 | | countertop | 61.51 | 75.04 | | stove | 75.76 | 86.72 | | palm | 48.78 | 66.08 | | kitchen island | 42.34 | 83.04 | | computer | 74.68 | 87.79 | | swivel chair | 47.98 | 74.52 | | boat | 57.97 | 71.01 | | bar | 39.31 | 50.62 | | arcade machine | 75.36 | 84.7 | | hovel | 23.14 | 24.79 | | bus | 92.85 | 95.64 | | towel | 65.04 | 78.54 | | light | 47.5 | 53.91 | | truck | 43.55 | 61.92 | | tower | 49.6 | 77.05 | | chandelier | 62.8 | 78.52 | | awning | 28.63 | 33.12 | | streetlight | 32.95 | 42.84 | | booth | 38.67 | 47.55 | | television receiver | 70.38 | 85.07 | | airplane | 61.6 | 68.05 | | dirt track | 2.06 | 8.17 | | apparel | 38.05 | 47.7 | | pole | 25.71 | 36.1 | | land | 0.88 | 1.06 | | bannister | 12.52 | 17.53 | | escalator | 22.34 | 24.73 | | ottoman | 48.49 | 71.95 | | bottle | 28.91 | 35.07 | | buffet | 50.72 | 62.15 | | poster | 37.61 | 48.15 | | stage | 9.11 | 15.4 | | van | 27.99 | 33.02 | | ship | 68.43 | 81.66 | | fountain | 33.03 | 34.25 | | conveyer belt | 60.93 | 89.34 | | canopy | 21.04 | 27.54 | | washer | 71.26 | 73.45 | | plaything | 23.2 | 27.57 | | swimming pool | 84.03 | 88.76 | | stool | 45.74 | 54.91 | | barrel | 48.22 | 64.74 | | basket | 28.81 | 43.35 | | waterfall | 53.0 | 57.42 | | tent | 85.94 | 97.57 | | bag | 22.06 | 26.05 | | minibike | 73.5 | 88.21 | | cradle | 75.22 | 91.82 | | oven | 48.6 | 59.08 | | ball | 47.85 | 59.84 | | food | 50.79 | 54.64 | | step | 10.58 | 13.39 | | tank | 44.33 | 61.61 | | trade name | 21.71 | 23.61 | | microwave | 87.85 | 93.76 | | pot | 55.25 | 63.7 | | animal | 64.78 | 69.07 | | bicycle | 60.49 | 77.97 | | lake | 25.38 | 37.98 | | dishwasher | 70.77 | 73.37 | | screen | 68.29 | 81.26 | | blanket | 19.38 | 23.11 | | sculpture | 66.28 | 85.83 | | hood | 69.43 | 86.0 | | sconce | 43.54 | 52.09 | | vase | 40.92 | 56.28 | | traffic light | 37.48 | 51.27 | | tray | 14.86 | 29.22 | | ashcan | 42.95 | 54.61 | | fan | 60.31 | 71.87 | | pier | 66.65 | 73.77 | | crt screen | 14.16 | 37.55 | | plate | 55.9 | 65.66 | | monitor | 10.96 | 11.56 | | bulletin board | 45.28 | 53.99 | | shower | 9.18 | 12.03 | | radiator | 57.96 | 68.01 | | glass | 17.21 | 18.16 | | clock | 27.9 | 32.16 | | flag | 69.04 | 77.43 | +---------------------+-------+-------+ 2023/11/01 22:01:40 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:27 time: 1.1764 data_time: 0.0250 memory: 27912 2023/11/01 22:02:00 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5280 coco/bbox_mAP_50: 0.7050 coco/bbox_mAP_75: 0.5760 coco/bbox_mAP_s: 0.3680 coco/bbox_mAP_m: 0.5730 coco/bbox_mAP_l: 0.6770 coco/segm_mAP: 0.3530 coco/segm_mAP_50: 0.6170 coco/segm_mAP_75: 0.3520 coco/segm_mAP_s: 0.2030 coco/segm_mAP_m: 0.4010 coco/segm_mAP_l: 0.5460 Bleu_1: 0.7727 Bleu_2: 0.6082 Bleu_3: 0.4670 Bleu_4: 0.3555 METEOR: 0.2863 ROUGE_L: 0.5758 CIDEr: 1.1892 SPICE: 0.2138 aAcc: 84.0200 mIoU: 51.7900 mAcc: 63.6900 visual-grounding/miou: 0.8093 visual-grounding/acc: 0.8771 data_time: 0.0023 time: 0.2321 2023/11/01 22:05:34 - mmengine - INFO - Iter(train) [380100/480000] base_lr: 2.2419e-05 lr: 7.2938e-06 eta: 2 days, 15:25:51 time: 2.2729 data_time: 0.1359 memory: 25791 grad_norm: 1.6763 loss: 1.2269 grounding_loss_reg: 2.5606 detection_loss_cls: 0.0405 detection_loss_reg: 0.4154 caption_loss_cls: 2.1735 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6914 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:09:35 - mmengine - INFO - Iter(train) [380200/480000] base_lr: 2.2380e-05 lr: 7.2836e-06 eta: 2 days, 15:23:06 time: 2.2769 data_time: 0.1360 memory: 26633 grad_norm: 1.6763 loss: 1.2285 grounding_loss_reg: 2.5606 detection_loss_cls: 0.0405 detection_loss_reg: 0.4157 caption_loss_cls: 2.1759 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6927 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:13:14 - mmengine - INFO - Iter(train) [380300/480000] base_lr: 2.2340e-05 lr: 7.2734e-06 eta: 2 days, 15:18:30 time: 2.2817 data_time: 0.1362 memory: 25791 grad_norm: 1.6747 loss: 1.2301 grounding_loss_reg: 2.5598 detection_loss_cls: 0.0407 detection_loss_reg: 0.4157 caption_loss_cls: 2.1734 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6922 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:16:39 - mmengine - INFO - Iter(train) [380400/480000] base_lr: 2.2301e-05 lr: 7.2632e-06 eta: 2 days, 15:12:38 time: 2.2744 data_time: 0.1361 memory: 26633 grad_norm: 1.6742 loss: 1.2246 grounding_loss_reg: 2.5611 detection_loss_cls: 0.0406 detection_loss_reg: 0.4150 caption_loss_cls: 2.1701 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6901 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:20:19 - mmengine - INFO - Iter(train) [380500/480000] base_lr: 2.2262e-05 lr: 7.2530e-06 eta: 2 days, 15:08:08 time: 2.2727 data_time: 0.1362 memory: 26633 grad_norm: 1.6753 loss: 1.2240 grounding_loss_reg: 2.5577 detection_loss_cls: 0.0407 detection_loss_reg: 0.4147 caption_loss_cls: 2.1683 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6921 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:20:19 - mmengine - INFO - Saving checkpoint at 380500 iterations 2023/11/01 22:25:17 - mmengine - INFO - Iter(train) [380600/480000] base_lr: 2.2222e-05 lr: 7.2428e-06 eta: 2 days, 15:10:11 time: 2.2747 data_time: 0.1357 memory: 25791 grad_norm: 1.6726 loss: 1.2182 grounding_loss_reg: 2.5567 detection_loss_cls: 0.0407 detection_loss_reg: 0.4152 caption_loss_cls: 2.1654 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6917 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:29:12 - mmengine - INFO - Iter(train) [380700/480000] base_lr: 2.2183e-05 lr: 7.2327e-06 eta: 2 days, 15:06:55 time: 2.2802 data_time: 0.1357 memory: 26633 grad_norm: 1.6684 loss: 1.2139 grounding_loss_reg: 2.5563 detection_loss_cls: 0.0408 detection_loss_reg: 0.4158 caption_loss_cls: 2.1673 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6915 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:32:42 - mmengine - INFO - Iter(train) [380800/480000] base_lr: 2.2144e-05 lr: 7.2225e-06 eta: 2 days, 15:01:30 time: 2.2775 data_time: 0.1357 memory: 26633 grad_norm: 1.6796 loss: 1.2156 grounding_loss_reg: 2.5538 detection_loss_cls: 0.0408 detection_loss_reg: 0.4149 caption_loss_cls: 2.1673 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6912 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:36:47 - mmengine - INFO - Iter(train) [380900/480000] base_lr: 2.2105e-05 lr: 7.2123e-06 eta: 2 days, 14:59:02 time: 2.2856 data_time: 0.1350 memory: 25791 grad_norm: 1.6733 loss: 1.2113 grounding_loss_reg: 2.5520 detection_loss_cls: 0.0406 detection_loss_reg: 0.4145 caption_loss_cls: 2.1665 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.6931 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:40:41 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 22:40:41 - mmengine - INFO - Iter(train) [381000/480000] base_lr: 2.2066e-05 lr: 7.2022e-06 eta: 2 days, 14:55:38 time: 2.2894 data_time: 0.1386 memory: 26633 grad_norm: 1.6701 loss: 1.2106 grounding_loss_reg: 2.5565 detection_loss_cls: 0.0408 detection_loss_reg: 0.4155 caption_loss_cls: 2.1674 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6929 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:40:41 - mmengine - INFO - Saving checkpoint at 381000 iterations 2023/11/01 22:44:57 - mmengine - INFO - Iter(train) [381100/480000] base_lr: 2.2027e-05 lr: 7.1921e-06 eta: 2 days, 14:54:03 time: 2.2822 data_time: 0.1390 memory: 26633 grad_norm: 1.6718 loss: 1.2145 grounding_loss_reg: 2.5563 detection_loss_cls: 0.0408 detection_loss_reg: 0.4151 caption_loss_cls: 2.1672 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6909 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:48:41 - mmengine - INFO - Iter(train) [381200/480000] base_lr: 2.1987e-05 lr: 7.1819e-06 eta: 2 days, 14:49:47 time: 2.2839 data_time: 0.1390 memory: 26633 grad_norm: 1.6569 loss: 1.2101 grounding_loss_reg: 2.5547 detection_loss_cls: 0.0407 detection_loss_reg: 0.4144 caption_loss_cls: 2.1674 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6907 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:51:58 - mmengine - INFO - Iter(train) [381300/480000] base_lr: 2.1948e-05 lr: 7.1718e-06 eta: 2 days, 14:43:27 time: 2.2859 data_time: 0.1391 memory: 26633 grad_norm: 1.6540 loss: 1.2069 grounding_loss_reg: 2.5509 detection_loss_cls: 0.0408 detection_loss_reg: 0.4149 caption_loss_cls: 2.1628 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6909 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:55:38 - mmengine - INFO - Iter(train) [381400/480000] base_lr: 2.1909e-05 lr: 7.1617e-06 eta: 2 days, 14:38:52 time: 2.2885 data_time: 0.1391 memory: 26633 grad_norm: 1.6447 loss: 1.2014 grounding_loss_reg: 2.5508 detection_loss_cls: 0.0410 detection_loss_reg: 0.4154 caption_loss_cls: 2.1649 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6906 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:59:12 - mmengine - INFO - Iter(train) [381500/480000] base_lr: 2.1871e-05 lr: 7.1516e-06 eta: 2 days, 14:33:53 time: 2.2841 data_time: 0.1390 memory: 26633 grad_norm: 1.6413 loss: 1.2030 grounding_loss_reg: 2.5507 detection_loss_cls: 0.0410 detection_loss_reg: 0.4157 caption_loss_cls: 2.1672 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6906 semantic_segmentation_loss_cls: 0.0095 2023/11/01 22:59:12 - mmengine - INFO - Saving checkpoint at 381500 iterations 2023/11/01 23:03:55 - mmengine - INFO - Iter(train) [381600/480000] base_lr: 2.1832e-05 lr: 7.1415e-06 eta: 2 days, 14:34:22 time: 2.2798 data_time: 0.1395 memory: 26633 grad_norm: 1.6481 loss: 1.2042 grounding_loss_reg: 2.5514 detection_loss_cls: 0.0410 detection_loss_reg: 0.4161 caption_loss_cls: 2.1667 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6908 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:07:31 - mmengine - INFO - Iter(train) [381700/480000] base_lr: 2.1793e-05 lr: 7.1314e-06 eta: 2 days, 14:29:31 time: 2.2868 data_time: 0.1395 memory: 25791 grad_norm: 1.6403 loss: 1.2060 grounding_loss_reg: 2.5516 detection_loss_cls: 0.0410 detection_loss_reg: 0.4164 caption_loss_cls: 2.1686 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6902 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:11:32 - mmengine - INFO - Iter(train) [381800/480000] base_lr: 2.1754e-05 lr: 7.1214e-06 eta: 2 days, 14:26:43 time: 2.2933 data_time: 0.1395 memory: 26633 grad_norm: 1.6298 loss: 1.2023 grounding_loss_reg: 2.5509 detection_loss_cls: 0.0410 detection_loss_reg: 0.4164 caption_loss_cls: 2.1667 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.6916 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:15:18 - mmengine - INFO - Iter(train) [381900/480000] base_lr: 2.1715e-05 lr: 7.1113e-06 eta: 2 days, 14:22:38 time: 2.3045 data_time: 0.1396 memory: 26633 grad_norm: 1.6290 loss: 1.2050 grounding_loss_reg: 2.5490 detection_loss_cls: 0.0410 detection_loss_reg: 0.4167 caption_loss_cls: 2.1676 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6921 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:18:54 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 23:18:54 - mmengine - INFO - Iter(train) [382000/480000] base_lr: 2.1676e-05 lr: 7.1013e-06 eta: 2 days, 14:17:50 time: 2.3059 data_time: 0.1396 memory: 26633 grad_norm: 1.6426 loss: 1.2048 grounding_loss_reg: 2.5495 detection_loss_cls: 0.0409 detection_loss_reg: 0.4164 caption_loss_cls: 2.1665 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6909 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:18:54 - mmengine - INFO - Saving checkpoint at 382000 iterations 2023/11/01 23:23:13 - mmengine - INFO - Iter(train) [382100/480000] base_lr: 2.1638e-05 lr: 7.0912e-06 eta: 2 days, 14:16:21 time: 2.3028 data_time: 0.1399 memory: 26633 grad_norm: 1.6507 loss: 1.2081 grounding_loss_reg: 2.5478 detection_loss_cls: 0.0409 detection_loss_reg: 0.4167 caption_loss_cls: 2.1664 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6901 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:26:26 - mmengine - INFO - Iter(train) [382200/480000] base_lr: 2.1599e-05 lr: 7.0812e-06 eta: 2 days, 14:09:43 time: 2.3016 data_time: 0.1399 memory: 26633 grad_norm: 1.6510 loss: 1.2107 grounding_loss_reg: 2.5482 detection_loss_cls: 0.0410 detection_loss_reg: 0.4167 caption_loss_cls: 2.1645 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.6913 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:30:04 - mmengine - INFO - Iter(train) [382300/480000] base_lr: 2.1560e-05 lr: 7.0711e-06 eta: 2 days, 14:05:05 time: 2.3012 data_time: 0.1399 memory: 26633 grad_norm: 1.6485 loss: 1.2057 grounding_loss_reg: 2.5473 detection_loss_cls: 0.0409 detection_loss_reg: 0.4159 caption_loss_cls: 2.1662 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6917 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:33:53 - mmengine - INFO - Iter(train) [382400/480000] base_lr: 2.1521e-05 lr: 7.0611e-06 eta: 2 days, 14:01:17 time: 2.3072 data_time: 0.1400 memory: 26633 grad_norm: 1.6552 loss: 1.2075 grounding_loss_reg: 2.5480 detection_loss_cls: 0.0407 detection_loss_reg: 0.4149 caption_loss_cls: 2.1663 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6910 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:37:31 - mmengine - INFO - Iter(train) [382500/480000] base_lr: 2.1483e-05 lr: 7.0511e-06 eta: 2 days, 13:56:41 time: 2.3092 data_time: 0.1399 memory: 25791 grad_norm: 1.6500 loss: 1.2116 grounding_loss_reg: 2.5479 detection_loss_cls: 0.0407 detection_loss_reg: 0.4148 caption_loss_cls: 2.1685 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6908 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:37:31 - mmengine - INFO - Saving checkpoint at 382500 iterations 2023/11/01 23:42:24 - mmengine - INFO - Iter(train) [382600/480000] base_lr: 2.1444e-05 lr: 7.0411e-06 eta: 2 days, 13:57:42 time: 2.3115 data_time: 0.1396 memory: 25791 grad_norm: 1.6479 loss: 1.2188 grounding_loss_reg: 2.5493 detection_loss_cls: 0.0407 detection_loss_reg: 0.4152 caption_loss_cls: 2.1641 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6918 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:46:13 - mmengine - INFO - Iter(train) [382700/480000] base_lr: 2.1406e-05 lr: 7.0311e-06 eta: 2 days, 13:53:51 time: 2.3090 data_time: 0.1396 memory: 25791 grad_norm: 1.6572 loss: 1.2167 grounding_loss_reg: 2.5473 detection_loss_cls: 0.0407 detection_loss_reg: 0.4152 caption_loss_cls: 2.1638 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6896 semantic_segmentation_loss_cls: 0.0094 2023/11/01 23:49:43 - mmengine - INFO - Iter(train) [382800/480000] base_lr: 2.1367e-05 lr: 7.0211e-06 eta: 2 days, 13:48:34 time: 2.3073 data_time: 0.1396 memory: 26633 grad_norm: 1.6598 loss: 1.2162 grounding_loss_reg: 2.5447 detection_loss_cls: 0.0409 detection_loss_reg: 0.4158 caption_loss_cls: 2.1625 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6883 semantic_segmentation_loss_cls: 0.0094 2023/11/01 23:53:25 - mmengine - INFO - Iter(train) [382900/480000] base_lr: 2.1329e-05 lr: 7.0111e-06 eta: 2 days, 13:44:19 time: 2.3151 data_time: 0.1396 memory: 26633 grad_norm: 1.6479 loss: 1.2067 grounding_loss_reg: 2.5439 detection_loss_cls: 0.0409 detection_loss_reg: 0.4160 caption_loss_cls: 2.1629 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6893 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:56:55 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/01 23:56:55 - mmengine - INFO - Iter(train) [383000/480000] base_lr: 2.1290e-05 lr: 7.0012e-06 eta: 2 days, 13:39:03 time: 2.3084 data_time: 0.1396 memory: 26633 grad_norm: 1.6573 loss: 1.2086 grounding_loss_reg: 2.5444 detection_loss_cls: 0.0409 detection_loss_reg: 0.4163 caption_loss_cls: 2.1673 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6894 semantic_segmentation_loss_cls: 0.0095 2023/11/01 23:56:55 - mmengine - INFO - Saving checkpoint at 383000 iterations 2023/11/02 00:01:27 - mmengine - INFO - Iter(train) [383100/480000] base_lr: 2.1252e-05 lr: 6.9912e-06 eta: 2 days, 13:38:22 time: 2.2934 data_time: 0.1386 memory: 26633 grad_norm: 1.6577 loss: 1.2026 grounding_loss_reg: 2.5448 detection_loss_cls: 0.0409 detection_loss_reg: 0.4162 caption_loss_cls: 2.1700 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6891 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:05:15 - mmengine - INFO - Iter(train) [383200/480000] base_lr: 2.1213e-05 lr: 6.9813e-06 eta: 2 days, 13:34:30 time: 2.3018 data_time: 0.1388 memory: 26633 grad_norm: 1.6424 loss: 1.1943 grounding_loss_reg: 2.5424 detection_loss_cls: 0.0408 detection_loss_reg: 0.4152 caption_loss_cls: 2.1690 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6894 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:08:51 - mmengine - INFO - Iter(train) [383300/480000] base_lr: 2.1175e-05 lr: 6.9713e-06 eta: 2 days, 13:29:43 time: 2.2969 data_time: 0.1385 memory: 25791 grad_norm: 1.6380 loss: 1.1961 grounding_loss_reg: 2.5402 detection_loss_cls: 0.0408 detection_loss_reg: 0.4150 caption_loss_cls: 2.1709 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6893 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:12:22 - mmengine - INFO - Iter(train) [383400/480000] base_lr: 2.1137e-05 lr: 6.9614e-06 eta: 2 days, 13:24:38 time: 2.2930 data_time: 0.1384 memory: 25791 grad_norm: 1.6522 loss: 1.2040 grounding_loss_reg: 2.5394 detection_loss_cls: 0.0408 detection_loss_reg: 0.4152 caption_loss_cls: 2.1726 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6894 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:16:03 - mmengine - INFO - Iter(train) [383500/480000] base_lr: 2.1099e-05 lr: 6.9515e-06 eta: 2 days, 13:20:15 time: 2.2925 data_time: 0.1384 memory: 25791 grad_norm: 1.6424 loss: 1.2075 grounding_loss_reg: 2.5412 detection_loss_cls: 0.0408 detection_loss_reg: 0.4148 caption_loss_cls: 2.1717 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:16:03 - mmengine - INFO - Saving checkpoint at 383500 iterations 2023/11/02 00:20:43 - mmengine - INFO - Iter(train) [383600/480000] base_lr: 2.1060e-05 lr: 6.9416e-06 eta: 2 days, 13:20:06 time: 2.2928 data_time: 0.1385 memory: 25791 grad_norm: 1.6514 loss: 1.2110 grounding_loss_reg: 2.5414 detection_loss_cls: 0.0407 detection_loss_reg: 0.4141 caption_loss_cls: 2.1719 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6894 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:23:52 - mmengine - INFO - Iter(train) [383700/480000] base_lr: 2.1022e-05 lr: 6.9317e-06 eta: 2 days, 13:13:25 time: 2.2868 data_time: 0.1385 memory: 26633 grad_norm: 1.6534 loss: 1.2092 grounding_loss_reg: 2.5408 detection_loss_cls: 0.0407 detection_loss_reg: 0.4146 caption_loss_cls: 2.1741 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6885 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:27:32 - mmengine - INFO - Iter(train) [383800/480000] base_lr: 2.0984e-05 lr: 6.9218e-06 eta: 2 days, 13:09:00 time: 2.2845 data_time: 0.1386 memory: 25791 grad_norm: 1.6470 loss: 1.2045 grounding_loss_reg: 2.5403 detection_loss_cls: 0.0407 detection_loss_reg: 0.4144 caption_loss_cls: 2.1723 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6891 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:31:10 - mmengine - INFO - Iter(train) [383900/480000] base_lr: 2.0946e-05 lr: 6.9119e-06 eta: 2 days, 13:04:23 time: 2.2881 data_time: 0.1386 memory: 25791 grad_norm: 1.6433 loss: 1.2025 grounding_loss_reg: 2.5416 detection_loss_cls: 0.0407 detection_loss_reg: 0.4141 caption_loss_cls: 2.1730 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6900 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:34:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 00:34:56 - mmengine - INFO - Iter(train) [384000/480000] base_lr: 2.0908e-05 lr: 6.9020e-06 eta: 2 days, 13:00:24 time: 2.2943 data_time: 0.1386 memory: 26633 grad_norm: 1.6438 loss: 1.2032 grounding_loss_reg: 2.5417 detection_loss_cls: 0.0409 detection_loss_reg: 0.4145 caption_loss_cls: 2.1719 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6889 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:34:56 - mmengine - INFO - Saving checkpoint at 384000 iterations 2023/11/02 00:39:21 - mmengine - INFO - Iter(train) [384100/480000] base_lr: 2.0870e-05 lr: 6.8921e-06 eta: 2 days, 12:59:05 time: 2.3061 data_time: 0.1548 memory: 25791 grad_norm: 1.6519 loss: 1.2004 grounding_loss_reg: 2.5440 detection_loss_cls: 0.0409 detection_loss_reg: 0.4146 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6880 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:42:43 - mmengine - INFO - Iter(train) [384200/480000] base_lr: 2.0832e-05 lr: 6.8823e-06 eta: 2 days, 12:53:23 time: 2.2963 data_time: 0.1546 memory: 25791 grad_norm: 1.6654 loss: 1.1990 grounding_loss_reg: 2.5432 detection_loss_cls: 0.0410 detection_loss_reg: 0.4148 caption_loss_cls: 2.1692 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6875 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:46:09 - mmengine - INFO - Iter(train) [384300/480000] base_lr: 2.0794e-05 lr: 6.8724e-06 eta: 2 days, 12:48:02 time: 2.2930 data_time: 0.1545 memory: 26633 grad_norm: 1.6714 loss: 1.2050 grounding_loss_reg: 2.5431 detection_loss_cls: 0.0409 detection_loss_reg: 0.4148 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.6863 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:49:28 - mmengine - INFO - Iter(train) [384400/480000] base_lr: 2.0756e-05 lr: 6.8626e-06 eta: 2 days, 12:42:11 time: 2.2915 data_time: 0.1545 memory: 26633 grad_norm: 1.6676 loss: 1.2082 grounding_loss_reg: 2.5442 detection_loss_cls: 0.0410 detection_loss_reg: 0.4146 caption_loss_cls: 2.1698 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.6865 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:53:06 - mmengine - INFO - Iter(train) [384500/480000] base_lr: 2.0718e-05 lr: 6.8527e-06 eta: 2 days, 12:37:40 time: 2.2910 data_time: 0.1544 memory: 25791 grad_norm: 1.6620 loss: 1.2069 grounding_loss_reg: 2.5448 detection_loss_cls: 0.0410 detection_loss_reg: 0.4151 caption_loss_cls: 2.1722 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6848 semantic_segmentation_loss_cls: 0.0095 2023/11/02 00:53:06 - mmengine - INFO - Saving checkpoint at 384500 iterations 2023/11/02 00:57:52 - mmengine - INFO - Iter(train) [384600/480000] base_lr: 2.0680e-05 lr: 6.8429e-06 eta: 2 days, 12:37:43 time: 2.2881 data_time: 0.1549 memory: 26633 grad_norm: 1.6658 loss: 1.2134 grounding_loss_reg: 2.5454 detection_loss_cls: 0.0411 detection_loss_reg: 0.4155 caption_loss_cls: 2.1715 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.6848 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:01:50 - mmengine - INFO - Iter(train) [384700/480000] base_lr: 2.0642e-05 lr: 6.8331e-06 eta: 2 days, 12:34:29 time: 2.2886 data_time: 0.1549 memory: 26633 grad_norm: 1.6605 loss: 1.2070 grounding_loss_reg: 2.5450 detection_loss_cls: 0.0411 detection_loss_reg: 0.4157 caption_loss_cls: 2.1722 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6851 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:05:17 - mmengine - INFO - Iter(train) [384800/480000] base_lr: 2.0604e-05 lr: 6.8233e-06 eta: 2 days, 12:29:14 time: 2.2880 data_time: 0.1549 memory: 26633 grad_norm: 1.6520 loss: 1.2108 grounding_loss_reg: 2.5452 detection_loss_cls: 0.0410 detection_loss_reg: 0.4157 caption_loss_cls: 2.1708 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.6863 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:09:01 - mmengine - INFO - Iter(train) [384900/480000] base_lr: 2.0566e-05 lr: 6.8135e-06 eta: 2 days, 12:25:07 time: 2.2829 data_time: 0.1548 memory: 25791 grad_norm: 1.6532 loss: 1.2125 grounding_loss_reg: 2.5429 detection_loss_cls: 0.0412 detection_loss_reg: 0.4164 caption_loss_cls: 2.1690 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6865 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:12:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 01:12:31 - mmengine - INFO - Iter(train) [385000/480000] base_lr: 2.0529e-05 lr: 6.8037e-06 eta: 2 days, 12:20:03 time: 2.2768 data_time: 0.1511 memory: 26633 grad_norm: 1.6522 loss: 1.2099 grounding_loss_reg: 2.5429 detection_loss_cls: 0.0411 detection_loss_reg: 0.4151 caption_loss_cls: 2.1667 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6881 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:12:31 - mmengine - INFO - Saving checkpoint at 385000 iterations 2023/11/02 01:17:09 - mmengine - INFO - Iter(train) [385100/480000] base_lr: 2.0491e-05 lr: 6.7939e-06 eta: 2 days, 12:19:29 time: 2.2823 data_time: 0.1510 memory: 26633 grad_norm: 1.6464 loss: 1.2054 grounding_loss_reg: 2.5429 detection_loss_cls: 0.0412 detection_loss_reg: 0.4154 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6877 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:20:30 - mmengine - INFO - Iter(train) [385200/480000] base_lr: 2.0453e-05 lr: 6.7841e-06 eta: 2 days, 12:13:48 time: 2.2765 data_time: 0.1511 memory: 26633 grad_norm: 1.6578 loss: 1.2130 grounding_loss_reg: 2.5442 detection_loss_cls: 0.0412 detection_loss_reg: 0.4154 caption_loss_cls: 2.1675 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6880 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:23:55 - mmengine - INFO - Iter(train) [385300/480000] base_lr: 2.0415e-05 lr: 6.7744e-06 eta: 2 days, 12:08:30 time: 2.2785 data_time: 0.1511 memory: 25791 grad_norm: 1.6548 loss: 1.2155 grounding_loss_reg: 2.5444 detection_loss_cls: 0.0412 detection_loss_reg: 0.4149 caption_loss_cls: 2.1686 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6889 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:27:24 - mmengine - INFO - Iter(train) [385400/480000] base_lr: 2.0378e-05 lr: 6.7646e-06 eta: 2 days, 12:03:23 time: 2.2758 data_time: 0.1511 memory: 25791 grad_norm: 1.6610 loss: 1.2182 grounding_loss_reg: 2.5448 detection_loss_cls: 0.0411 detection_loss_reg: 0.4141 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6896 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:31:13 - mmengine - INFO - Iter(train) [385500/480000] base_lr: 2.0340e-05 lr: 6.7549e-06 eta: 2 days, 11:59:38 time: 2.2796 data_time: 0.1512 memory: 26633 grad_norm: 1.6611 loss: 1.2165 grounding_loss_reg: 2.5428 detection_loss_cls: 0.0411 detection_loss_reg: 0.4148 caption_loss_cls: 2.1669 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6917 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:31:13 - mmengine - INFO - Saving checkpoint at 385500 iterations 2023/11/02 01:35:25 - mmengine - INFO - Iter(train) [385600/480000] base_lr: 2.0303e-05 lr: 6.7452e-06 eta: 2 days, 11:57:19 time: 2.2719 data_time: 0.1508 memory: 25791 grad_norm: 1.6649 loss: 1.2174 grounding_loss_reg: 2.5403 detection_loss_cls: 0.0411 detection_loss_reg: 0.4155 caption_loss_cls: 2.1659 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6913 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:38:48 - mmengine - INFO - Iter(train) [385700/480000] base_lr: 2.0265e-05 lr: 6.7354e-06 eta: 2 days, 11:51:51 time: 2.2686 data_time: 0.1508 memory: 26633 grad_norm: 1.6667 loss: 1.2175 grounding_loss_reg: 2.5400 detection_loss_cls: 0.0410 detection_loss_reg: 0.4150 caption_loss_cls: 2.1690 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6920 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:41:41 - mmengine - INFO - Iter(train) [385800/480000] base_lr: 2.0228e-05 lr: 6.7257e-06 eta: 2 days, 11:44:31 time: 2.2514 data_time: 0.1508 memory: 26633 grad_norm: 1.6701 loss: 1.2149 grounding_loss_reg: 2.5406 detection_loss_cls: 0.0410 detection_loss_reg: 0.4148 caption_loss_cls: 2.1677 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6918 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:44:43 - mmengine - INFO - Iter(train) [385900/480000] base_lr: 2.0190e-05 lr: 6.7160e-06 eta: 2 days, 11:37:46 time: 2.2404 data_time: 0.1507 memory: 26633 grad_norm: 1.6792 loss: 1.2179 grounding_loss_reg: 2.5374 detection_loss_cls: 0.0410 detection_loss_reg: 0.4147 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6915 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:48:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 01:48:11 - mmengine - INFO - Iter(train) [386000/480000] base_lr: 2.0153e-05 lr: 6.7063e-06 eta: 2 days, 11:32:45 time: 2.2385 data_time: 0.1507 memory: 25791 grad_norm: 1.6837 loss: 1.2229 grounding_loss_reg: 2.5370 detection_loss_cls: 0.0408 detection_loss_reg: 0.4134 caption_loss_cls: 2.1678 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6909 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:48:12 - mmengine - INFO - Saving checkpoint at 386000 iterations 2023/11/02 01:52:41 - mmengine - INFO - Iter(train) [386100/480000] base_lr: 2.0115e-05 lr: 6.6966e-06 eta: 2 days, 11:31:32 time: 2.2412 data_time: 0.1508 memory: 25791 grad_norm: 1.6748 loss: 1.2168 grounding_loss_reg: 2.5359 detection_loss_cls: 0.0410 detection_loss_reg: 0.4136 caption_loss_cls: 2.1673 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6908 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:55:44 - mmengine - INFO - Iter(train) [386200/480000] base_lr: 2.0078e-05 lr: 6.6869e-06 eta: 2 days, 11:24:57 time: 2.2389 data_time: 0.1507 memory: 25791 grad_norm: 1.6757 loss: 1.2104 grounding_loss_reg: 2.5330 detection_loss_cls: 0.0410 detection_loss_reg: 0.4136 caption_loss_cls: 2.1658 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6910 semantic_segmentation_loss_cls: 0.0094 2023/11/02 01:59:06 - mmengine - INFO - Iter(train) [386300/480000] base_lr: 2.0041e-05 lr: 6.6773e-06 eta: 2 days, 11:19:30 time: 2.2348 data_time: 0.1507 memory: 25791 grad_norm: 1.6842 loss: 1.2170 grounding_loss_reg: 2.5338 detection_loss_cls: 0.0411 detection_loss_reg: 0.4138 caption_loss_cls: 2.1672 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6898 semantic_segmentation_loss_cls: 0.0094 2023/11/02 02:02:33 - mmengine - INFO - Iter(train) [386400/480000] base_lr: 2.0004e-05 lr: 6.6676e-06 eta: 2 days, 11:14:25 time: 2.2293 data_time: 0.1506 memory: 26633 grad_norm: 1.6874 loss: 1.2177 grounding_loss_reg: 2.5316 detection_loss_cls: 0.0411 detection_loss_reg: 0.4141 caption_loss_cls: 2.1674 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6899 semantic_segmentation_loss_cls: 0.0094 2023/11/02 02:05:53 - mmengine - INFO - Iter(train) [386500/480000] base_lr: 1.9966e-05 lr: 6.6579e-06 eta: 2 days, 11:08:53 time: 2.2245 data_time: 0.1505 memory: 26633 grad_norm: 1.6901 loss: 1.2167 grounding_loss_reg: 2.5323 detection_loss_cls: 0.0412 detection_loss_reg: 0.4143 caption_loss_cls: 2.1712 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6889 semantic_segmentation_loss_cls: 0.0094 2023/11/02 02:05:53 - mmengine - INFO - Saving checkpoint at 386500 iterations 2023/11/02 02:10:29 - mmengine - INFO - Iter(train) [386600/480000] base_lr: 1.9929e-05 lr: 6.6483e-06 eta: 2 days, 11:08:03 time: 2.2204 data_time: 0.1509 memory: 26633 grad_norm: 1.6956 loss: 1.2161 grounding_loss_reg: 2.5354 detection_loss_cls: 0.0410 detection_loss_reg: 0.4127 caption_loss_cls: 2.1720 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6890 semantic_segmentation_loss_cls: 0.0094 2023/11/02 02:14:02 - mmengine - INFO - Iter(train) [386700/480000] base_lr: 1.9892e-05 lr: 6.6386e-06 eta: 2 days, 11:03:19 time: 2.2164 data_time: 0.1509 memory: 25791 grad_norm: 1.6967 loss: 1.2177 grounding_loss_reg: 2.5325 detection_loss_cls: 0.0411 detection_loss_reg: 0.4134 caption_loss_cls: 2.1730 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6882 semantic_segmentation_loss_cls: 0.0094 2023/11/02 02:17:37 - mmengine - INFO - Iter(train) [386800/480000] base_lr: 1.9855e-05 lr: 6.6290e-06 eta: 2 days, 10:58:46 time: 2.2179 data_time: 0.1508 memory: 26633 grad_norm: 1.6946 loss: 1.2159 grounding_loss_reg: 2.5301 detection_loss_cls: 0.0413 detection_loss_reg: 0.4141 caption_loss_cls: 2.1706 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6886 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:21:02 - mmengine - INFO - Iter(train) [386900/480000] base_lr: 1.9818e-05 lr: 6.6194e-06 eta: 2 days, 10:53:37 time: 2.2135 data_time: 0.1509 memory: 25791 grad_norm: 1.6968 loss: 1.2178 grounding_loss_reg: 2.5317 detection_loss_cls: 0.0412 detection_loss_reg: 0.4134 caption_loss_cls: 2.1688 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6877 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:24:38 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 02:24:38 - mmengine - INFO - Iter(train) [387000/480000] base_lr: 1.9781e-05 lr: 6.6098e-06 eta: 2 days, 10:49:07 time: 2.2151 data_time: 0.1509 memory: 26633 grad_norm: 1.6918 loss: 1.2166 grounding_loss_reg: 2.5317 detection_loss_cls: 0.0411 detection_loss_reg: 0.4133 caption_loss_cls: 2.1722 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6869 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:24:38 - mmengine - INFO - Saving checkpoint at 387000 iterations 2023/11/02 02:29:21 - mmengine - INFO - Iter(train) [387100/480000] base_lr: 1.9744e-05 lr: 6.6002e-06 eta: 2 days, 10:48:33 time: 2.2177 data_time: 0.1505 memory: 25791 grad_norm: 1.6894 loss: 1.2213 grounding_loss_reg: 2.5333 detection_loss_cls: 0.0412 detection_loss_reg: 0.4126 caption_loss_cls: 2.1745 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6869 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:32:29 - mmengine - INFO - Iter(train) [387200/480000] base_lr: 1.9707e-05 lr: 6.5906e-06 eta: 2 days, 10:42:25 time: 2.2077 data_time: 0.1504 memory: 25791 grad_norm: 1.7051 loss: 1.2310 grounding_loss_reg: 2.5341 detection_loss_cls: 0.0411 detection_loss_reg: 0.4118 caption_loss_cls: 2.1763 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6868 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:35:46 - mmengine - INFO - Iter(train) [387300/480000] base_lr: 1.9670e-05 lr: 6.5810e-06 eta: 2 days, 10:36:47 time: 2.2030 data_time: 0.1504 memory: 26633 grad_norm: 1.7174 loss: 1.2399 grounding_loss_reg: 2.5359 detection_loss_cls: 0.0411 detection_loss_reg: 0.4114 caption_loss_cls: 2.1763 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6868 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:39:21 - mmengine - INFO - Iter(train) [387400/480000] base_lr: 1.9633e-05 lr: 6.5714e-06 eta: 2 days, 10:32:16 time: 2.2039 data_time: 0.1504 memory: 26633 grad_norm: 1.7193 loss: 1.2367 grounding_loss_reg: 2.5298 detection_loss_cls: 0.0412 detection_loss_reg: 0.4121 caption_loss_cls: 2.1723 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6871 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:42:46 - mmengine - INFO - Iter(train) [387500/480000] base_lr: 1.9596e-05 lr: 6.5619e-06 eta: 2 days, 10:27:10 time: 2.2000 data_time: 0.1504 memory: 26633 grad_norm: 1.7254 loss: 1.2388 grounding_loss_reg: 2.5288 detection_loss_cls: 0.0412 detection_loss_reg: 0.4113 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6881 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:42:46 - mmengine - INFO - Saving checkpoint at 387500 iterations 2023/11/02 02:47:25 - mmengine - INFO - Iter(train) [387600/480000] base_lr: 1.9559e-05 lr: 6.5523e-06 eta: 2 days, 10:26:22 time: 2.1997 data_time: 0.1512 memory: 26633 grad_norm: 1.7216 loss: 1.2404 grounding_loss_reg: 2.5289 detection_loss_cls: 0.0411 detection_loss_reg: 0.4108 caption_loss_cls: 2.1687 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6899 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:51:03 - mmengine - INFO - Iter(train) [387700/480000] base_lr: 1.9522e-05 lr: 6.5428e-06 eta: 2 days, 10:22:00 time: 2.2070 data_time: 0.1513 memory: 26633 grad_norm: 1.7266 loss: 1.2441 grounding_loss_reg: 2.5311 detection_loss_cls: 0.0411 detection_loss_reg: 0.4106 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.6893 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:54:46 - mmengine - INFO - Iter(train) [387800/480000] base_lr: 1.9485e-05 lr: 6.5332e-06 eta: 2 days, 10:17:57 time: 2.2077 data_time: 0.1512 memory: 26633 grad_norm: 1.7328 loss: 1.2478 grounding_loss_reg: 2.5310 detection_loss_cls: 0.0411 detection_loss_reg: 0.4102 caption_loss_cls: 2.1641 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6869 semantic_segmentation_loss_cls: 0.0093 2023/11/02 02:58:33 - mmengine - INFO - Iter(train) [387900/480000] base_lr: 1.9449e-05 lr: 6.5237e-06 eta: 2 days, 10:14:06 time: 2.2101 data_time: 0.1512 memory: 25791 grad_norm: 1.7316 loss: 1.2488 grounding_loss_reg: 2.5301 detection_loss_cls: 0.0410 detection_loss_reg: 0.4097 caption_loss_cls: 2.1655 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6869 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:02:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 03:02:00 - mmengine - INFO - Iter(train) [388000/480000] base_lr: 1.9412e-05 lr: 6.5142e-06 eta: 2 days, 10:09:07 time: 2.2052 data_time: 0.1512 memory: 26633 grad_norm: 1.7292 loss: 1.2464 grounding_loss_reg: 2.5314 detection_loss_cls: 0.0410 detection_loss_reg: 0.4103 caption_loss_cls: 2.1629 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6868 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:02:00 - mmengine - INFO - Saving checkpoint at 388000 iterations 2023/11/02 03:06:50 - mmengine - INFO - Iter(train) [388100/480000] base_lr: 1.9375e-05 lr: 6.5047e-06 eta: 2 days, 10:08:53 time: 2.2115 data_time: 0.1514 memory: 26633 grad_norm: 1.7243 loss: 1.2491 grounding_loss_reg: 2.5296 detection_loss_cls: 0.0409 detection_loss_reg: 0.4100 caption_loss_cls: 2.1623 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6887 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:10:16 - mmengine - INFO - Iter(train) [388200/480000] base_lr: 1.9339e-05 lr: 6.4952e-06 eta: 2 days, 10:03:49 time: 2.2125 data_time: 0.1514 memory: 26633 grad_norm: 1.7209 loss: 1.2506 grounding_loss_reg: 2.5297 detection_loss_cls: 0.0409 detection_loss_reg: 0.4094 caption_loss_cls: 2.1589 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6891 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:13:46 - mmengine - INFO - Iter(train) [388300/480000] base_lr: 1.9302e-05 lr: 6.4857e-06 eta: 2 days, 9:59:03 time: 2.2134 data_time: 0.1515 memory: 25791 grad_norm: 1.7163 loss: 1.2435 grounding_loss_reg: 2.5310 detection_loss_cls: 0.0408 detection_loss_reg: 0.4089 caption_loss_cls: 2.1592 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6882 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:17:30 - mmengine - INFO - Iter(train) [388400/480000] base_lr: 1.9265e-05 lr: 6.4762e-06 eta: 2 days, 9:55:03 time: 2.2198 data_time: 0.1515 memory: 26633 grad_norm: 1.7208 loss: 1.2440 grounding_loss_reg: 2.5301 detection_loss_cls: 0.0408 detection_loss_reg: 0.4090 caption_loss_cls: 2.1594 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6874 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:21:30 - mmengine - INFO - Iter(train) [388500/480000] base_lr: 1.9229e-05 lr: 6.4667e-06 eta: 2 days, 9:51:54 time: 2.2251 data_time: 0.1515 memory: 26633 grad_norm: 1.7272 loss: 1.2465 grounding_loss_reg: 2.5299 detection_loss_cls: 0.0408 detection_loss_reg: 0.4097 caption_loss_cls: 2.1617 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6865 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:21:30 - mmengine - INFO - Saving checkpoint at 388500 iterations 2023/11/02 03:26:21 - mmengine - INFO - Iter(train) [388600/480000] base_lr: 1.9192e-05 lr: 6.4573e-06 eta: 2 days, 9:51:39 time: 2.2265 data_time: 0.1510 memory: 26633 grad_norm: 1.7260 loss: 1.2491 grounding_loss_reg: 2.5320 detection_loss_cls: 0.0408 detection_loss_reg: 0.4102 caption_loss_cls: 2.1624 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6870 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:29:53 - mmengine - INFO - Iter(train) [388700/480000] base_lr: 1.9156e-05 lr: 6.4478e-06 eta: 2 days, 9:46:58 time: 2.2201 data_time: 0.1510 memory: 26633 grad_norm: 1.7337 loss: 1.2541 grounding_loss_reg: 2.5330 detection_loss_cls: 0.0409 detection_loss_reg: 0.4105 caption_loss_cls: 2.1623 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6886 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:33:06 - mmengine - INFO - Iter(train) [388800/480000] base_lr: 1.9119e-05 lr: 6.4384e-06 eta: 2 days, 9:41:16 time: 2.2166 data_time: 0.1509 memory: 25791 grad_norm: 1.7448 loss: 1.2543 grounding_loss_reg: 2.5314 detection_loss_cls: 0.0410 detection_loss_reg: 0.4116 caption_loss_cls: 2.1644 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6875 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:36:32 - mmengine - INFO - Iter(train) [388900/480000] base_lr: 1.9083e-05 lr: 6.4289e-06 eta: 2 days, 9:36:17 time: 2.2120 data_time: 0.1509 memory: 26633 grad_norm: 1.7492 loss: 1.2547 grounding_loss_reg: 2.5294 detection_loss_cls: 0.0411 detection_loss_reg: 0.4120 caption_loss_cls: 2.1646 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6874 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:40:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 03:40:20 - mmengine - INFO - Iter(train) [389000/480000] base_lr: 1.9047e-05 lr: 6.4195e-06 eta: 2 days, 9:32:28 time: 2.2164 data_time: 0.1510 memory: 26633 grad_norm: 1.7533 loss: 1.2565 grounding_loss_reg: 2.5265 detection_loss_cls: 0.0410 detection_loss_reg: 0.4114 caption_loss_cls: 2.1683 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.6872 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:40:20 - mmengine - INFO - Saving checkpoint at 389000 iterations 2023/11/02 03:45:17 - mmengine - INFO - Iter(train) [389100/480000] base_lr: 1.9010e-05 lr: 6.4101e-06 eta: 2 days, 9:32:26 time: 2.2212 data_time: 0.1504 memory: 26633 grad_norm: 1.7497 loss: 1.2575 grounding_loss_reg: 2.5282 detection_loss_cls: 0.0411 detection_loss_reg: 0.4115 caption_loss_cls: 2.1658 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6884 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:48:37 - mmengine - INFO - Iter(train) [389200/480000] base_lr: 1.8974e-05 lr: 6.4007e-06 eta: 2 days, 9:27:08 time: 2.2211 data_time: 0.1503 memory: 25791 grad_norm: 1.7494 loss: 1.2576 grounding_loss_reg: 2.5285 detection_loss_cls: 0.0411 detection_loss_reg: 0.4119 caption_loss_cls: 2.1636 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6883 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:52:14 - mmengine - INFO - Iter(train) [389300/480000] base_lr: 1.8938e-05 lr: 6.3913e-06 eta: 2 days, 9:22:44 time: 2.2238 data_time: 0.1503 memory: 25791 grad_norm: 1.7502 loss: 1.2541 grounding_loss_reg: 2.5256 detection_loss_cls: 0.0411 detection_loss_reg: 0.4118 caption_loss_cls: 2.1636 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:55:50 - mmengine - INFO - Iter(train) [389400/480000] base_lr: 1.8901e-05 lr: 6.3819e-06 eta: 2 days, 9:18:18 time: 2.2257 data_time: 0.1509 memory: 26633 grad_norm: 1.7448 loss: 1.2510 grounding_loss_reg: 2.5260 detection_loss_cls: 0.0410 detection_loss_reg: 0.4123 caption_loss_cls: 2.1644 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6909 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:59:35 - mmengine - INFO - Iter(train) [389500/480000] base_lr: 1.8865e-05 lr: 6.3725e-06 eta: 2 days, 9:14:22 time: 2.2245 data_time: 0.1507 memory: 25791 grad_norm: 1.7364 loss: 1.2483 grounding_loss_reg: 2.5265 detection_loss_cls: 0.0412 detection_loss_reg: 0.4122 caption_loss_cls: 2.1664 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6900 semantic_segmentation_loss_cls: 0.0093 2023/11/02 03:59:35 - mmengine - INFO - Saving checkpoint at 389500 iterations 2023/11/02 04:04:41 - mmengine - INFO - Iter(train) [389600/480000] base_lr: 1.8829e-05 lr: 6.3631e-06 eta: 2 days, 9:14:44 time: 2.2382 data_time: 0.1507 memory: 26633 grad_norm: 1.7363 loss: 1.2482 grounding_loss_reg: 2.5276 detection_loss_cls: 0.0411 detection_loss_reg: 0.4119 caption_loss_cls: 2.1662 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6891 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:08:23 - mmengine - INFO - Iter(train) [389700/480000] base_lr: 1.8793e-05 lr: 6.3537e-06 eta: 2 days, 9:10:35 time: 2.2429 data_time: 0.1508 memory: 26633 grad_norm: 1.7384 loss: 1.2479 grounding_loss_reg: 2.5304 detection_loss_cls: 0.0412 detection_loss_reg: 0.4128 caption_loss_cls: 2.1599 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6899 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:12:11 - mmengine - INFO - Iter(train) [389800/480000] base_lr: 1.8757e-05 lr: 6.3444e-06 eta: 2 days, 9:06:48 time: 2.2567 data_time: 0.1509 memory: 25791 grad_norm: 1.7409 loss: 1.2469 grounding_loss_reg: 2.5311 detection_loss_cls: 0.0412 detection_loss_reg: 0.4131 caption_loss_cls: 2.1579 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6914 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:15:41 - mmengine - INFO - Iter(train) [389900/480000] base_lr: 1.8721e-05 lr: 6.3350e-06 eta: 2 days, 9:02:03 time: 2.2638 data_time: 0.1509 memory: 25791 grad_norm: 1.7346 loss: 1.2459 grounding_loss_reg: 2.5297 detection_loss_cls: 0.0411 detection_loss_reg: 0.4120 caption_loss_cls: 2.1577 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6910 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:19:06 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 04:19:06 - mmengine - INFO - Iter(train) [390000/480000] base_lr: 1.8685e-05 lr: 6.3257e-06 eta: 2 days, 8:57:03 time: 2.2628 data_time: 0.1509 memory: 25791 grad_norm: 1.7254 loss: 1.2396 grounding_loss_reg: 2.5277 detection_loss_cls: 0.0412 detection_loss_reg: 0.4121 caption_loss_cls: 2.1542 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6895 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:19:06 - mmengine - INFO - Saving checkpoint at 390000 iterations 2023/11/02 04:25:03 - mmengine - INFO - Evaluating bbox... 2023/11/02 04:26:06 - mmengine - INFO - bbox_mAP_copypaste: 0.527 0.704 0.575 0.371 0.570 0.679 2023/11/02 04:26:06 - mmengine - INFO - Evaluating segm... 2023/11/02 04:27:21 - mmengine - INFO - segm_mAP_copypaste: 0.350 0.616 0.350 0.209 0.398 0.541 2023/11/02 04:28:45 - mmengine - INFO - Evaluating bbox... 2023/11/02 04:29:52 - mmengine - INFO - bbox_mAP_copypaste: 0.528 0.706 0.577 0.376 0.572 0.680 2023/11/02 04:33:16 - mmengine - INFO - per class results: 2023/11/02 04:33:16 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.4 | 89.69 | | building | 82.56 | 92.95 | | sky | 93.32 | 97.64 | | floor | 82.38 | 89.63 | | tree | 74.17 | 87.61 | | ceiling | 84.83 | 93.13 | | road | 85.81 | 90.93 | | bed | 89.36 | 95.8 | | windowpane | 63.62 | 80.71 | | grass | 68.79 | 83.46 | | cabinet | 62.23 | 76.43 | | sidewalk | 68.96 | 82.28 | | person | 81.14 | 90.52 | | earth | 44.48 | 60.02 | | door | 51.97 | 65.33 | | table | 63.44 | 75.37 | | mountain | 61.03 | 78.38 | | plant | 54.23 | 63.19 | | curtain | 75.03 | 87.42 | | chair | 58.43 | 72.44 | | car | 82.34 | 91.55 | | water | 57.76 | 71.09 | | painting | 73.11 | 84.83 | | sofa | 72.99 | 82.74 | | shelf | 45.66 | 67.11 | | house | 36.82 | 50.07 | | sea | 68.38 | 89.92 | | mirror | 69.33 | 78.61 | | rug | 67.47 | 77.87 | | field | 28.2 | 42.9 | | armchair | 50.2 | 74.33 | | seat | 66.73 | 83.3 | | fence | 44.42 | 59.94 | | desk | 51.42 | 74.17 | | rock | 45.26 | 64.6 | | wardrobe | 50.57 | 67.49 | | lamp | 60.88 | 74.39 | | bathtub | 83.35 | 87.2 | | railing | 35.83 | 47.83 | | cushion | 60.5 | 74.52 | | base | 24.8 | 36.09 | | box | 29.86 | 36.28 | | column | 48.16 | 60.78 | | signboard | 36.27 | 47.15 | | chest of drawers | 44.27 | 62.16 | | counter | 24.75 | 31.72 | | sand | 58.73 | 75.58 | | sink | 75.74 | 82.93 | | skyscraper | 50.18 | 57.71 | | fireplace | 70.8 | 85.51 | | refrigerator | 74.47 | 82.16 | | grandstand | 48.92 | 76.05 | | path | 27.35 | 39.49 | | stairs | 31.89 | 38.63 | | runway | 74.94 | 95.16 | | case | 56.79 | 69.16 | | pool table | 88.36 | 95.48 | | pillow | 51.39 | 59.0 | | screen door | 73.3 | 77.39 | | stairway | 35.47 | 44.54 | | river | 13.02 | 24.55 | | bridge | 72.98 | 88.23 | | bookcase | 36.82 | 51.3 | | blind | 40.43 | 43.74 | | coffee table | 61.88 | 78.21 | | toilet | 87.24 | 91.41 | | flower | 35.94 | 50.71 | | book | 44.82 | 68.33 | | hill | 8.71 | 13.35 | | bench | 53.99 | 67.88 | | countertop | 63.72 | 75.65 | | stove | 77.26 | 84.38 | | palm | 48.74 | 63.05 | | kitchen island | 43.08 | 73.45 | | computer | 74.48 | 87.22 | | swivel chair | 45.79 | 58.77 | | boat | 56.84 | 71.02 | | bar | 39.57 | 47.77 | | arcade machine | 69.09 | 77.27 | | hovel | 26.37 | 29.57 | | bus | 92.56 | 95.43 | | towel | 61.02 | 76.83 | | light | 45.91 | 52.76 | | truck | 41.79 | 65.76 | | tower | 48.36 | 73.14 | | chandelier | 60.95 | 75.04 | | awning | 30.71 | 37.56 | | streetlight | 31.52 | 39.04 | | booth | 33.29 | 40.81 | | television receiver | 70.84 | 83.54 | | airplane | 61.32 | 69.22 | | dirt track | 5.11 | 6.11 | | apparel | 39.4 | 53.67 | | pole | 28.35 | 39.42 | | land | 0.78 | 0.98 | | bannister | 13.65 | 17.21 | | escalator | 22.82 | 25.38 | | ottoman | 50.46 | 69.49 | | bottle | 27.87 | 34.16 | | buffet | 36.03 | 38.92 | | poster | 31.1 | 43.69 | | stage | 10.06 | 14.03 | | van | 30.94 | 36.14 | | ship | 62.77 | 74.49 | | fountain | 24.74 | 25.45 | | conveyer belt | 65.45 | 90.3 | | canopy | 28.48 | 36.71 | | washer | 69.51 | 70.62 | | plaything | 24.53 | 31.91 | | swimming pool | 80.07 | 90.89 | | stool | 48.83 | 64.8 | | barrel | 55.31 | 64.83 | | basket | 27.23 | 41.86 | | waterfall | 62.77 | 67.92 | | tent | 89.98 | 97.29 | | bag | 24.78 | 30.77 | | minibike | 73.39 | 84.71 | | cradle | 72.3 | 93.24 | | oven | 51.91 | 63.14 | | ball | 51.33 | 68.3 | | food | 45.95 | 48.82 | | step | 11.15 | 13.51 | | tank | 45.86 | 59.57 | | trade name | 21.37 | 23.35 | | microwave | 86.82 | 93.15 | | pot | 53.18 | 60.9 | | animal | 59.33 | 63.05 | | bicycle | 58.9 | 76.94 | | lake | 53.5 | 62.83 | | dishwasher | 70.93 | 76.04 | | screen | 71.17 | 84.99 | | blanket | 14.32 | 16.42 | | sculpture | 63.46 | 84.0 | | hood | 54.52 | 63.16 | | sconce | 40.37 | 48.23 | | vase | 42.79 | 60.44 | | traffic light | 36.4 | 49.68 | | tray | 14.09 | 33.17 | | ashcan | 39.7 | 57.14 | | fan | 57.72 | 69.44 | | pier | 35.5 | 37.04 | | crt screen | 6.54 | 14.92 | | plate | 55.19 | 65.62 | | monitor | 12.55 | 13.68 | | bulletin board | 48.19 | 57.91 | | shower | 6.37 | 9.83 | | radiator | 54.96 | 61.32 | | glass | 17.1 | 18.28 | | clock | 27.15 | 34.35 | | flag | 58.85 | 63.33 | +---------------------+-------+-------+ 2023/11/02 04:33:39 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.1764 data_time: 0.0227 memory: 27912 2023/11/02 04:34:00 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5280 coco/bbox_mAP_50: 0.7060 coco/bbox_mAP_75: 0.5770 coco/bbox_mAP_s: 0.3760 coco/bbox_mAP_m: 0.5720 coco/bbox_mAP_l: 0.6800 coco/segm_mAP: 0.3500 coco/segm_mAP_50: 0.6160 coco/segm_mAP_75: 0.3500 coco/segm_mAP_s: 0.2090 coco/segm_mAP_m: 0.3980 coco/segm_mAP_l: 0.5410 Bleu_1: 0.7657 Bleu_2: 0.6025 Bleu_3: 0.4634 Bleu_4: 0.3536 METEOR: 0.2867 ROUGE_L: 0.5740 CIDEr: 1.1795 SPICE: 0.2142 aAcc: 83.9900 mIoU: 51.0300 mAcc: 62.0200 visual-grounding/miou: 0.8112 visual-grounding/acc: 0.8787 data_time: 0.0015 time: 0.2318 2023/11/02 04:37:44 - mmengine - INFO - Iter(train) [390100/480000] base_lr: 1.8649e-05 lr: 6.3164e-06 eta: 2 days, 8:53:17 time: 2.2524 data_time: 0.1344 memory: 26633 grad_norm: 1.7225 loss: 1.2385 grounding_loss_reg: 2.5288 detection_loss_cls: 0.0413 detection_loss_reg: 0.4132 caption_loss_cls: 2.1525 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6892 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:41:30 - mmengine - INFO - Iter(train) [390200/480000] base_lr: 1.8613e-05 lr: 6.3071e-06 eta: 2 days, 8:49:24 time: 2.2632 data_time: 0.1345 memory: 25791 grad_norm: 1.7227 loss: 1.2415 grounding_loss_reg: 2.5268 detection_loss_cls: 0.0413 detection_loss_reg: 0.4135 caption_loss_cls: 2.1554 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6892 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:44:58 - mmengine - INFO - Iter(train) [390300/480000] base_lr: 1.8577e-05 lr: 6.2977e-06 eta: 2 days, 8:44:34 time: 2.2647 data_time: 0.1345 memory: 25791 grad_norm: 1.7157 loss: 1.2405 grounding_loss_reg: 2.5284 detection_loss_cls: 0.0413 detection_loss_reg: 0.4127 caption_loss_cls: 2.1549 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6894 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:48:37 - mmengine - INFO - Iter(train) [390400/480000] base_lr: 1.8541e-05 lr: 6.2884e-06 eta: 2 days, 8:40:20 time: 2.2677 data_time: 0.1345 memory: 26633 grad_norm: 1.7021 loss: 1.2352 grounding_loss_reg: 2.5275 detection_loss_cls: 0.0412 detection_loss_reg: 0.4126 caption_loss_cls: 2.1544 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:51:56 - mmengine - INFO - Iter(train) [390500/480000] base_lr: 1.8505e-05 lr: 6.2792e-06 eta: 2 days, 8:35:05 time: 2.2676 data_time: 0.1345 memory: 25791 grad_norm: 1.7092 loss: 1.2366 grounding_loss_reg: 2.5274 detection_loss_cls: 0.0412 detection_loss_reg: 0.4130 caption_loss_cls: 2.1538 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0093 2023/11/02 04:51:56 - mmengine - INFO - Saving checkpoint at 390500 iterations 2023/11/02 04:57:03 - mmengine - INFO - Iter(train) [390600/480000] base_lr: 1.8470e-05 lr: 6.2699e-06 eta: 2 days, 8:35:18 time: 2.2753 data_time: 0.1344 memory: 25791 grad_norm: 1.7010 loss: 1.2322 grounding_loss_reg: 2.5295 detection_loss_cls: 0.0412 detection_loss_reg: 0.4131 caption_loss_cls: 2.1521 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0093 2023/11/02 05:00:09 - mmengine - INFO - Iter(train) [390700/480000] base_lr: 1.8434e-05 lr: 6.2606e-06 eta: 2 days, 8:29:23 time: 2.2685 data_time: 0.1343 memory: 25791 grad_norm: 1.7090 loss: 1.2408 grounding_loss_reg: 2.5328 detection_loss_cls: 0.0412 detection_loss_reg: 0.4130 caption_loss_cls: 2.1530 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6902 semantic_segmentation_loss_cls: 0.0093 2023/11/02 05:03:57 - mmengine - INFO - Iter(train) [390800/480000] base_lr: 1.8398e-05 lr: 6.2513e-06 eta: 2 days, 8:25:36 time: 2.2717 data_time: 0.1344 memory: 25791 grad_norm: 1.7042 loss: 1.2413 grounding_loss_reg: 2.5331 detection_loss_cls: 0.0417 detection_loss_reg: 0.4150 caption_loss_cls: 2.1487 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6907 semantic_segmentation_loss_cls: 0.0093 2023/11/02 05:07:37 - mmengine - INFO - Iter(train) [390900/480000] base_lr: 1.8362e-05 lr: 6.2421e-06 eta: 2 days, 8:21:25 time: 2.2754 data_time: 0.1343 memory: 25791 grad_norm: 1.7061 loss: 1.2447 grounding_loss_reg: 2.5295 detection_loss_cls: 0.0417 detection_loss_reg: 0.4150 caption_loss_cls: 2.1445 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6914 semantic_segmentation_loss_cls: 0.0093 2023/11/02 05:11:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 05:11:04 - mmengine - INFO - Iter(train) [391000/480000] base_lr: 1.8327e-05 lr: 6.2328e-06 eta: 2 days, 8:16:36 time: 2.2733 data_time: 0.1343 memory: 26633 grad_norm: 1.7098 loss: 1.2362 grounding_loss_reg: 2.5235 detection_loss_cls: 0.0417 detection_loss_reg: 0.4145 caption_loss_cls: 2.1436 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6918 semantic_segmentation_loss_cls: 0.0093 2023/11/02 05:11:04 - mmengine - INFO - Saving checkpoint at 391000 iterations 2023/11/02 05:15:34 - mmengine - INFO - Iter(train) [391100/480000] base_lr: 1.8291e-05 lr: 6.2236e-06 eta: 2 days, 8:14:54 time: 2.2702 data_time: 0.1350 memory: 26633 grad_norm: 1.7202 loss: 1.2349 grounding_loss_reg: 2.5253 detection_loss_cls: 0.0416 detection_loss_reg: 0.4141 caption_loss_cls: 2.1409 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6902 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:19:11 - mmengine - INFO - Iter(train) [391200/480000] base_lr: 1.8255e-05 lr: 6.2144e-06 eta: 2 days, 8:10:33 time: 2.2772 data_time: 0.1350 memory: 25791 grad_norm: 1.7168 loss: 1.2294 grounding_loss_reg: 2.5257 detection_loss_cls: 0.0418 detection_loss_reg: 0.4150 caption_loss_cls: 2.1411 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6918 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:22:21 - mmengine - INFO - Iter(train) [391300/480000] base_lr: 1.8220e-05 lr: 6.2052e-06 eta: 2 days, 8:04:55 time: 2.2756 data_time: 0.1349 memory: 25791 grad_norm: 1.7058 loss: 1.2234 grounding_loss_reg: 2.5273 detection_loss_cls: 0.0418 detection_loss_reg: 0.4148 caption_loss_cls: 2.1414 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.6926 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:25:49 - mmengine - INFO - Iter(train) [391400/480000] base_lr: 1.8184e-05 lr: 6.1959e-06 eta: 2 days, 8:00:10 time: 2.2738 data_time: 0.1349 memory: 25791 grad_norm: 1.6997 loss: 1.2209 grounding_loss_reg: 2.5270 detection_loss_cls: 0.0418 detection_loss_reg: 0.4147 caption_loss_cls: 2.1409 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.6947 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:29:12 - mmengine - INFO - Iter(train) [391500/480000] base_lr: 1.8149e-05 lr: 6.1867e-06 eta: 2 days, 7:55:11 time: 2.2732 data_time: 0.1350 memory: 25791 grad_norm: 1.7010 loss: 1.2181 grounding_loss_reg: 2.5273 detection_loss_cls: 0.0417 detection_loss_reg: 0.4142 caption_loss_cls: 2.1401 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.6950 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:29:12 - mmengine - INFO - Saving checkpoint at 391500 iterations 2023/11/02 05:33:45 - mmengine - INFO - Iter(train) [391600/480000] base_lr: 1.8113e-05 lr: 6.1776e-06 eta: 2 days, 7:53:34 time: 2.2717 data_time: 0.1347 memory: 25791 grad_norm: 1.7093 loss: 1.2239 grounding_loss_reg: 2.5295 detection_loss_cls: 0.0418 detection_loss_reg: 0.4144 caption_loss_cls: 2.1413 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.6944 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:37:33 - mmengine - INFO - Iter(train) [391700/480000] base_lr: 1.8078e-05 lr: 6.1684e-06 eta: 2 days, 7:49:47 time: 2.2741 data_time: 0.1347 memory: 26633 grad_norm: 1.7045 loss: 1.2211 grounding_loss_reg: 2.5303 detection_loss_cls: 0.0417 detection_loss_reg: 0.4140 caption_loss_cls: 2.1423 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.6934 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:41:00 - mmengine - INFO - Iter(train) [391800/480000] base_lr: 1.8043e-05 lr: 6.1592e-06 eta: 2 days, 7:45:01 time: 2.2702 data_time: 0.1347 memory: 25791 grad_norm: 1.7125 loss: 1.2245 grounding_loss_reg: 2.5297 detection_loss_cls: 0.0417 detection_loss_reg: 0.4140 caption_loss_cls: 2.1415 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.6933 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:44:30 - mmengine - INFO - Iter(train) [391900/480000] base_lr: 1.8007e-05 lr: 6.1500e-06 eta: 2 days, 7:40:22 time: 2.2659 data_time: 0.1347 memory: 26633 grad_norm: 1.7149 loss: 1.2212 grounding_loss_reg: 2.5305 detection_loss_cls: 0.0417 detection_loss_reg: 0.4146 caption_loss_cls: 2.1385 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.6931 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:47:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 05:47:53 - mmengine - INFO - Iter(train) [392000/480000] base_lr: 1.7972e-05 lr: 6.1409e-06 eta: 2 days, 7:35:26 time: 2.2650 data_time: 0.1346 memory: 25791 grad_norm: 1.7199 loss: 1.2211 grounding_loss_reg: 2.5308 detection_loss_cls: 0.0416 detection_loss_reg: 0.4140 caption_loss_cls: 2.1366 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.6934 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:47:53 - mmengine - INFO - Saving checkpoint at 392000 iterations 2023/11/02 05:52:50 - mmengine - INFO - Iter(train) [392100/480000] base_lr: 1.7937e-05 lr: 6.1317e-06 eta: 2 days, 7:34:55 time: 2.2667 data_time: 0.1342 memory: 26633 grad_norm: 1.7110 loss: 1.2132 grounding_loss_reg: 2.5300 detection_loss_cls: 0.0417 detection_loss_reg: 0.4143 caption_loss_cls: 2.1374 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.6936 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:56:07 - mmengine - INFO - Iter(train) [392200/480000] base_lr: 1.7901e-05 lr: 6.1226e-06 eta: 2 days, 7:29:40 time: 2.2645 data_time: 0.1341 memory: 25791 grad_norm: 1.7099 loss: 1.2143 grounding_loss_reg: 2.5308 detection_loss_cls: 0.0418 detection_loss_reg: 0.4152 caption_loss_cls: 2.1377 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2727 instance_segmentation_loss_poly: 0.6923 semantic_segmentation_loss_cls: 0.0092 2023/11/02 05:59:35 - mmengine - INFO - Iter(train) [392300/480000] base_lr: 1.7866e-05 lr: 6.1135e-06 eta: 2 days, 7:25:00 time: 2.2641 data_time: 0.1341 memory: 26633 grad_norm: 1.6986 loss: 1.2131 grounding_loss_reg: 2.5298 detection_loss_cls: 0.0420 detection_loss_reg: 0.4158 caption_loss_cls: 2.1383 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.6935 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:03:10 - mmengine - INFO - Iter(train) [392400/480000] base_lr: 1.7831e-05 lr: 6.1044e-06 eta: 2 days, 7:20:35 time: 2.2617 data_time: 0.1340 memory: 25791 grad_norm: 1.6886 loss: 1.2078 grounding_loss_reg: 2.5299 detection_loss_cls: 0.0420 detection_loss_reg: 0.4159 caption_loss_cls: 2.1398 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.6936 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:06:42 - mmengine - INFO - Iter(train) [392500/480000] base_lr: 1.7796e-05 lr: 6.0952e-06 eta: 2 days, 7:16:06 time: 2.2549 data_time: 0.1339 memory: 26633 grad_norm: 1.6968 loss: 1.2065 grounding_loss_reg: 2.5295 detection_loss_cls: 0.0420 detection_loss_reg: 0.4167 caption_loss_cls: 2.1402 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.6936 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:06:42 - mmengine - INFO - Saving checkpoint at 392500 iterations 2023/11/02 06:11:41 - mmengine - INFO - Iter(train) [392600/480000] base_lr: 1.7761e-05 lr: 6.0862e-06 eta: 2 days, 7:15:36 time: 2.2566 data_time: 0.1343 memory: 25791 grad_norm: 1.6928 loss: 1.2036 grounding_loss_reg: 2.5334 detection_loss_cls: 0.0419 detection_loss_reg: 0.4168 caption_loss_cls: 2.1418 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.6943 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:15:01 - mmengine - INFO - Iter(train) [392700/480000] base_lr: 1.7726e-05 lr: 6.0771e-06 eta: 2 days, 7:10:33 time: 2.2538 data_time: 0.1343 memory: 26633 grad_norm: 1.6959 loss: 1.2068 grounding_loss_reg: 2.5345 detection_loss_cls: 0.0420 detection_loss_reg: 0.4166 caption_loss_cls: 2.1461 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.6945 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:18:37 - mmengine - INFO - Iter(train) [392800/480000] base_lr: 1.7691e-05 lr: 6.0680e-06 eta: 2 days, 7:06:14 time: 2.2595 data_time: 0.1344 memory: 26633 grad_norm: 1.6871 loss: 1.2001 grounding_loss_reg: 2.5317 detection_loss_cls: 0.0419 detection_loss_reg: 0.4163 caption_loss_cls: 2.1408 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2728 instance_segmentation_loss_poly: 0.6936 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:22:34 - mmengine - INFO - Iter(train) [392900/480000] base_lr: 1.7656e-05 lr: 6.0589e-06 eta: 2 days, 7:02:51 time: 2.2671 data_time: 0.1344 memory: 26633 grad_norm: 1.6769 loss: 1.1957 grounding_loss_reg: 2.5297 detection_loss_cls: 0.0419 detection_loss_reg: 0.4156 caption_loss_cls: 2.1425 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.6932 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:26:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 06:26:24 - mmengine - INFO - Iter(train) [393000/480000] base_lr: 1.7621e-05 lr: 6.0498e-06 eta: 2 days, 6:59:09 time: 2.2677 data_time: 0.1344 memory: 26633 grad_norm: 1.6732 loss: 1.1949 grounding_loss_reg: 2.5282 detection_loss_cls: 0.0417 detection_loss_reg: 0.4137 caption_loss_cls: 2.1362 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.6946 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:26:24 - mmengine - INFO - Saving checkpoint at 393000 iterations 2023/11/02 06:31:19 - mmengine - INFO - Iter(train) [393100/480000] base_lr: 1.7586e-05 lr: 6.0408e-06 eta: 2 days, 6:58:25 time: 2.2673 data_time: 0.1352 memory: 25791 grad_norm: 1.6701 loss: 1.1891 grounding_loss_reg: 2.5277 detection_loss_cls: 0.0416 detection_loss_reg: 0.4130 caption_loss_cls: 2.1352 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.6932 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:34:38 - mmengine - INFO - Iter(train) [393200/480000] base_lr: 1.7551e-05 lr: 6.0318e-06 eta: 2 days, 6:53:19 time: 2.2670 data_time: 0.1352 memory: 25791 grad_norm: 1.6639 loss: 1.1839 grounding_loss_reg: 2.5278 detection_loss_cls: 0.0416 detection_loss_reg: 0.4132 caption_loss_cls: 2.1359 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6907 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:37:56 - mmengine - INFO - Iter(train) [393300/480000] base_lr: 1.7516e-05 lr: 6.0227e-06 eta: 2 days, 6:48:13 time: 2.2624 data_time: 0.1352 memory: 26633 grad_norm: 1.6657 loss: 1.1858 grounding_loss_reg: 2.5280 detection_loss_cls: 0.0416 detection_loss_reg: 0.4136 caption_loss_cls: 2.1335 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6912 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:41:31 - mmengine - INFO - Iter(train) [393400/480000] base_lr: 1.7481e-05 lr: 6.0137e-06 eta: 2 days, 6:43:50 time: 2.2620 data_time: 0.1346 memory: 25791 grad_norm: 1.6728 loss: 1.1852 grounding_loss_reg: 2.5265 detection_loss_cls: 0.0415 detection_loss_reg: 0.4130 caption_loss_cls: 2.1313 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2725 instance_segmentation_loss_poly: 0.6934 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:45:02 - mmengine - INFO - Iter(train) [393500/480000] base_lr: 1.7447e-05 lr: 6.0047e-06 eta: 2 days, 6:39:18 time: 2.2585 data_time: 0.1347 memory: 25791 grad_norm: 1.6832 loss: 1.1937 grounding_loss_reg: 2.5294 detection_loss_cls: 0.0413 detection_loss_reg: 0.4118 caption_loss_cls: 2.1337 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.6947 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:45:02 - mmengine - INFO - Saving checkpoint at 393500 iterations 2023/11/02 06:49:22 - mmengine - INFO - Iter(train) [393600/480000] base_lr: 1.7412e-05 lr: 5.9957e-06 eta: 2 days, 6:36:57 time: 2.2469 data_time: 0.1350 memory: 26633 grad_norm: 1.6854 loss: 1.1955 grounding_loss_reg: 2.5293 detection_loss_cls: 0.0414 detection_loss_reg: 0.4127 caption_loss_cls: 2.1330 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.6950 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:52:52 - mmengine - INFO - Iter(train) [393700/480000] base_lr: 1.7377e-05 lr: 5.9867e-06 eta: 2 days, 6:32:24 time: 2.2442 data_time: 0.1349 memory: 26633 grad_norm: 1.6920 loss: 1.1943 grounding_loss_reg: 2.5296 detection_loss_cls: 0.0414 detection_loss_reg: 0.4128 caption_loss_cls: 2.1329 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6931 semantic_segmentation_loss_cls: 0.0092 2023/11/02 06:56:33 - mmengine - INFO - Iter(train) [393800/480000] base_lr: 1.7343e-05 lr: 5.9777e-06 eta: 2 days, 6:28:19 time: 2.2423 data_time: 0.1349 memory: 26633 grad_norm: 1.6861 loss: 1.1912 grounding_loss_reg: 2.5293 detection_loss_cls: 0.0414 detection_loss_reg: 0.4126 caption_loss_cls: 2.1310 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6912 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:00:24 - mmengine - INFO - Iter(train) [393900/480000] base_lr: 1.7308e-05 lr: 5.9687e-06 eta: 2 days, 6:24:40 time: 2.2475 data_time: 0.1350 memory: 26633 grad_norm: 1.6852 loss: 1.1906 grounding_loss_reg: 2.5289 detection_loss_cls: 0.0414 detection_loss_reg: 0.4133 caption_loss_cls: 2.1315 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6918 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:04:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 07:04:17 - mmengine - INFO - Iter(train) [394000/480000] base_lr: 1.7273e-05 lr: 5.9597e-06 eta: 2 days, 6:21:06 time: 2.2545 data_time: 0.1350 memory: 26633 grad_norm: 1.6669 loss: 1.1855 grounding_loss_reg: 2.5280 detection_loss_cls: 0.0414 detection_loss_reg: 0.4132 caption_loss_cls: 2.1315 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.6926 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:04:17 - mmengine - INFO - Saving checkpoint at 394000 iterations 2023/11/02 07:09:00 - mmengine - INFO - Iter(train) [394100/480000] base_lr: 1.7239e-05 lr: 5.9508e-06 eta: 2 days, 6:19:43 time: 2.2683 data_time: 0.1514 memory: 26633 grad_norm: 1.6729 loss: 1.1861 grounding_loss_reg: 2.5246 detection_loss_cls: 0.0414 detection_loss_reg: 0.4132 caption_loss_cls: 2.1279 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.6920 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:12:58 - mmengine - INFO - Iter(train) [394200/480000] base_lr: 1.7204e-05 lr: 5.9418e-06 eta: 2 days, 6:16:22 time: 2.2712 data_time: 0.1514 memory: 26633 grad_norm: 1.6665 loss: 1.1863 grounding_loss_reg: 2.5225 detection_loss_cls: 0.0414 detection_loss_reg: 0.4131 caption_loss_cls: 2.1290 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6918 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:16:26 - mmengine - INFO - Iter(train) [394300/480000] base_lr: 1.7170e-05 lr: 5.9329e-06 eta: 2 days, 6:11:45 time: 2.2714 data_time: 0.1514 memory: 25791 grad_norm: 1.6671 loss: 1.1869 grounding_loss_reg: 2.5217 detection_loss_cls: 0.0414 detection_loss_reg: 0.4138 caption_loss_cls: 2.1285 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6923 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:20:02 - mmengine - INFO - Iter(train) [394400/480000] base_lr: 1.7135e-05 lr: 5.9240e-06 eta: 2 days, 6:07:27 time: 2.2707 data_time: 0.1513 memory: 25791 grad_norm: 1.6755 loss: 1.1956 grounding_loss_reg: 2.5215 detection_loss_cls: 0.0415 detection_loss_reg: 0.4147 caption_loss_cls: 2.1293 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6922 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:23:25 - mmengine - INFO - Iter(train) [394500/480000] base_lr: 1.7101e-05 lr: 5.9150e-06 eta: 2 days, 6:02:36 time: 2.2717 data_time: 0.1513 memory: 26633 grad_norm: 1.6812 loss: 1.1939 grounding_loss_reg: 2.5194 detection_loss_cls: 0.0415 detection_loss_reg: 0.4143 caption_loss_cls: 2.1267 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6914 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:23:25 - mmengine - INFO - Saving checkpoint at 394500 iterations 2023/11/02 07:28:20 - mmengine - INFO - Iter(train) [394600/480000] base_lr: 1.7066e-05 lr: 5.9061e-06 eta: 2 days, 6:01:39 time: 2.2685 data_time: 0.1516 memory: 25791 grad_norm: 1.6759 loss: 1.1939 grounding_loss_reg: 2.5195 detection_loss_cls: 0.0416 detection_loss_reg: 0.4148 caption_loss_cls: 2.1297 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6922 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:31:54 - mmengine - INFO - Iter(train) [394700/480000] base_lr: 1.7032e-05 lr: 5.8972e-06 eta: 2 days, 5:57:17 time: 2.2757 data_time: 0.1516 memory: 26633 grad_norm: 1.6654 loss: 1.1836 grounding_loss_reg: 2.5191 detection_loss_cls: 0.0415 detection_loss_reg: 0.4140 caption_loss_cls: 2.1263 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6917 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:35:16 - mmengine - INFO - Iter(train) [394800/480000] base_lr: 1.6998e-05 lr: 5.8883e-06 eta: 2 days, 5:52:23 time: 2.2690 data_time: 0.1516 memory: 25791 grad_norm: 1.6714 loss: 1.1824 grounding_loss_reg: 2.5186 detection_loss_cls: 0.0415 detection_loss_reg: 0.4150 caption_loss_cls: 2.1232 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6910 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:38:28 - mmengine - INFO - Iter(train) [394900/480000] base_lr: 1.6964e-05 lr: 5.8794e-06 eta: 2 days, 5:47:06 time: 2.2620 data_time: 0.1515 memory: 25791 grad_norm: 1.6727 loss: 1.1782 grounding_loss_reg: 2.5181 detection_loss_cls: 0.0415 detection_loss_reg: 0.4151 caption_loss_cls: 2.1231 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6912 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:42:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 07:42:03 - mmengine - INFO - Iter(train) [395000/480000] base_lr: 1.6929e-05 lr: 5.8706e-06 eta: 2 days, 5:42:48 time: 2.2640 data_time: 0.1516 memory: 26633 grad_norm: 1.6737 loss: 1.1830 grounding_loss_reg: 2.5185 detection_loss_cls: 0.0415 detection_loss_reg: 0.4154 caption_loss_cls: 2.1209 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6902 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:42:03 - mmengine - INFO - Saving checkpoint at 395000 iterations 2023/11/02 07:46:46 - mmengine - INFO - Iter(train) [395100/480000] base_lr: 1.6895e-05 lr: 5.8617e-06 eta: 2 days, 5:41:17 time: 2.2671 data_time: 0.1512 memory: 25791 grad_norm: 1.6620 loss: 1.1824 grounding_loss_reg: 2.5201 detection_loss_cls: 0.0417 detection_loss_reg: 0.4160 caption_loss_cls: 2.1162 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6896 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:49:47 - mmengine - INFO - Iter(train) [395200/480000] base_lr: 1.6861e-05 lr: 5.8528e-06 eta: 2 days, 5:35:35 time: 2.2585 data_time: 0.1512 memory: 25791 grad_norm: 1.6615 loss: 1.1836 grounding_loss_reg: 2.5213 detection_loss_cls: 0.0417 detection_loss_reg: 0.4154 caption_loss_cls: 2.1123 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6912 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:53:29 - mmengine - INFO - Iter(train) [395300/480000] base_lr: 1.6827e-05 lr: 5.8440e-06 eta: 2 days, 5:31:32 time: 2.2662 data_time: 0.1513 memory: 25791 grad_norm: 1.6713 loss: 1.1863 grounding_loss_reg: 2.5223 detection_loss_cls: 0.0416 detection_loss_reg: 0.4151 caption_loss_cls: 2.1122 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6919 semantic_segmentation_loss_cls: 0.0092 2023/11/02 07:56:58 - mmengine - INFO - Iter(train) [395400/480000] base_lr: 1.6793e-05 lr: 5.8352e-06 eta: 2 days, 5:27:01 time: 2.2667 data_time: 0.1512 memory: 26633 grad_norm: 1.6720 loss: 1.1851 grounding_loss_reg: 2.5227 detection_loss_cls: 0.0415 detection_loss_reg: 0.4143 caption_loss_cls: 2.1132 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6899 semantic_segmentation_loss_cls: 0.0092 2023/11/02 08:00:29 - mmengine - INFO - Iter(train) [395500/480000] base_lr: 1.6759e-05 lr: 5.8263e-06 eta: 2 days, 5:22:32 time: 2.2686 data_time: 0.1511 memory: 26633 grad_norm: 1.6779 loss: 1.1883 grounding_loss_reg: 2.5251 detection_loss_cls: 0.0414 detection_loss_reg: 0.4139 caption_loss_cls: 2.1152 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6896 semantic_segmentation_loss_cls: 0.0092 2023/11/02 08:00:29 - mmengine - INFO - Saving checkpoint at 395500 iterations 2023/11/02 08:05:08 - mmengine - INFO - Iter(train) [395600/480000] base_lr: 1.6725e-05 lr: 5.8175e-06 eta: 2 days, 5:20:50 time: 2.2701 data_time: 0.1511 memory: 26633 grad_norm: 1.6788 loss: 1.1818 grounding_loss_reg: 2.5231 detection_loss_cls: 0.0413 detection_loss_reg: 0.4131 caption_loss_cls: 2.1168 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6904 semantic_segmentation_loss_cls: 0.0092 2023/11/02 08:08:43 - mmengine - INFO - Iter(train) [395700/480000] base_lr: 1.6691e-05 lr: 5.8087e-06 eta: 2 days, 5:16:32 time: 2.2669 data_time: 0.1510 memory: 25791 grad_norm: 1.6769 loss: 1.1771 grounding_loss_reg: 2.5223 detection_loss_cls: 0.0411 detection_loss_reg: 0.4124 caption_loss_cls: 2.1142 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6906 semantic_segmentation_loss_cls: 0.0092 2023/11/02 08:12:18 - mmengine - INFO - Iter(train) [395800/480000] base_lr: 1.6657e-05 lr: 5.7999e-06 eta: 2 days, 5:12:14 time: 2.2688 data_time: 0.1510 memory: 26633 grad_norm: 1.6727 loss: 1.1738 grounding_loss_reg: 2.5212 detection_loss_cls: 0.0411 detection_loss_reg: 0.4116 caption_loss_cls: 2.1139 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6901 semantic_segmentation_loss_cls: 0.0092 2023/11/02 08:15:54 - mmengine - INFO - Iter(train) [395900/480000] base_lr: 1.6623e-05 lr: 5.7911e-06 eta: 2 days, 5:07:58 time: 2.2704 data_time: 0.1510 memory: 25791 grad_norm: 1.6808 loss: 1.1792 grounding_loss_reg: 2.5200 detection_loss_cls: 0.0409 detection_loss_reg: 0.4120 caption_loss_cls: 2.1123 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6908 semantic_segmentation_loss_cls: 0.0092 2023/11/02 08:19:19 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 08:19:19 - mmengine - INFO - Iter(train) [396000/480000] base_lr: 1.6589e-05 lr: 5.7823e-06 eta: 2 days, 5:03:17 time: 2.2708 data_time: 0.1510 memory: 26633 grad_norm: 1.6775 loss: 1.1756 grounding_loss_reg: 2.5210 detection_loss_cls: 0.0407 detection_loss_reg: 0.4103 caption_loss_cls: 2.1093 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6906 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:19:19 - mmengine - INFO - Saving checkpoint at 396000 iterations 2023/11/02 08:23:59 - mmengine - INFO - Iter(train) [396100/480000] base_lr: 1.6555e-05 lr: 5.7736e-06 eta: 2 days, 5:01:36 time: 2.2666 data_time: 0.1512 memory: 26633 grad_norm: 1.6868 loss: 1.1776 grounding_loss_reg: 2.5202 detection_loss_cls: 0.0406 detection_loss_reg: 0.4092 caption_loss_cls: 2.1104 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6896 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:27:18 - mmengine - INFO - Iter(train) [396200/480000] base_lr: 1.6521e-05 lr: 5.7648e-06 eta: 2 days, 4:56:40 time: 2.2672 data_time: 0.1513 memory: 26633 grad_norm: 1.6917 loss: 1.1774 grounding_loss_reg: 2.5207 detection_loss_cls: 0.0406 detection_loss_reg: 0.4093 caption_loss_cls: 2.1084 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.6903 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:30:58 - mmengine - INFO - Iter(train) [396300/480000] base_lr: 1.6488e-05 lr: 5.7560e-06 eta: 2 days, 4:52:33 time: 2.2698 data_time: 0.1512 memory: 25791 grad_norm: 1.7060 loss: 1.1787 grounding_loss_reg: 2.5202 detection_loss_cls: 0.0404 detection_loss_reg: 0.4077 caption_loss_cls: 2.1088 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.6900 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:34:40 - mmengine - INFO - Iter(train) [396400/480000] base_lr: 1.6454e-05 lr: 5.7473e-06 eta: 2 days, 4:48:34 time: 2.2719 data_time: 0.1512 memory: 26633 grad_norm: 1.7102 loss: 1.1812 grounding_loss_reg: 2.5215 detection_loss_cls: 0.0403 detection_loss_reg: 0.4078 caption_loss_cls: 2.1080 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6902 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:38:30 - mmengine - INFO - Iter(train) [396500/480000] base_lr: 1.6420e-05 lr: 5.7386e-06 eta: 2 days, 4:44:53 time: 2.2763 data_time: 0.1513 memory: 26633 grad_norm: 1.7040 loss: 1.1796 grounding_loss_reg: 2.5218 detection_loss_cls: 0.0399 detection_loss_reg: 0.4059 caption_loss_cls: 2.1093 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:38:30 - mmengine - INFO - Saving checkpoint at 396500 iterations 2023/11/02 08:42:56 - mmengine - INFO - Iter(train) [396600/480000] base_lr: 1.6386e-05 lr: 5.7298e-06 eta: 2 days, 4:42:34 time: 2.2680 data_time: 0.1515 memory: 26633 grad_norm: 1.7164 loss: 1.1797 grounding_loss_reg: 2.5211 detection_loss_cls: 0.0399 detection_loss_reg: 0.4066 caption_loss_cls: 2.1076 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.6887 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:45:59 - mmengine - INFO - Iter(train) [396700/480000] base_lr: 1.6353e-05 lr: 5.7211e-06 eta: 2 days, 4:37:04 time: 2.2637 data_time: 0.1515 memory: 25791 grad_norm: 1.7322 loss: 1.1815 grounding_loss_reg: 2.5193 detection_loss_cls: 0.0400 detection_loss_reg: 0.4075 caption_loss_cls: 2.1080 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.6888 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:49:12 - mmengine - INFO - Iter(train) [396800/480000] base_lr: 1.6319e-05 lr: 5.7124e-06 eta: 2 days, 4:31:57 time: 2.2581 data_time: 0.1515 memory: 25791 grad_norm: 1.7450 loss: 1.1881 grounding_loss_reg: 2.5180 detection_loss_cls: 0.0399 detection_loss_reg: 0.4068 caption_loss_cls: 2.1067 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.6887 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:52:58 - mmengine - INFO - Iter(train) [396900/480000] base_lr: 1.6286e-05 lr: 5.7037e-06 eta: 2 days, 4:28:07 time: 2.2554 data_time: 0.1515 memory: 26633 grad_norm: 1.7503 loss: 1.1895 grounding_loss_reg: 2.5156 detection_loss_cls: 0.0399 detection_loss_reg: 0.4067 caption_loss_cls: 2.1068 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.6903 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:56:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231101_090115 2023/11/02 08:56:37 - mmengine - INFO - Iter(train) [397000/480000] base_lr: 1.6252e-05 lr: 5.6950e-06 eta: 2 days, 4:24:00 time: 2.2528 data_time: 0.1515 memory: 25791 grad_norm: 1.7591 loss: 1.1940 grounding_loss_reg: 2.5155 detection_loss_cls: 0.0399 detection_loss_reg: 0.4073 caption_loss_cls: 2.1089 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6893 semantic_segmentation_loss_cls: 0.0093 2023/11/02 08:56:37 - mmengine - INFO - Saving checkpoint at 397000 iterations 2023/11/03 14:45:32 - mmengine - INFO - Iter(train) [397100/480000] base_lr: 1.6219e-05 lr: 5.6863e-06 eta: 1 day, 9:11:02 time: 2.2149 data_time: 0.1341 memory: 26570 grad_norm: 1.7697 loss: 1.2026 grounding_loss_reg: 2.5131 detection_loss_cls: 0.0400 detection_loss_reg: 0.4078 caption_loss_cls: 2.1103 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6905 semantic_segmentation_loss_cls: 0.0093 2023/11/03 14:48:06 - mmengine - INFO - Iter(train) [397200/480000] base_lr: 1.6185e-05 lr: 5.6777e-06 eta: 1 day, 10:14:21 time: 2.2037 data_time: 0.1340 memory: 25730 grad_norm: 1.7715 loss: 1.2035 grounding_loss_reg: 2.5139 detection_loss_cls: 0.0400 detection_loss_reg: 0.4071 caption_loss_cls: 2.1093 instance_segmentation_loss_cls: 0.0278 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6900 semantic_segmentation_loss_cls: 0.0094 2023/11/03 14:50:44 - mmengine - INFO - Iter(train) [397300/480000] base_lr: 1.6152e-05 lr: 5.6690e-06 eta: 1 day, 10:54:02 time: 2.1936 data_time: 0.1341 memory: 25730 grad_norm: 1.7774 loss: 1.2036 grounding_loss_reg: 2.5156 detection_loss_cls: 0.0399 detection_loss_reg: 0.4068 caption_loss_cls: 2.1101 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6889 semantic_segmentation_loss_cls: 0.0094 2023/11/03 14:53:25 - mmengine - INFO - Iter(train) [397400/480000] base_lr: 1.6119e-05 lr: 5.6604e-06 eta: 1 day, 11:23:14 time: 2.1803 data_time: 0.1340 memory: 25730 grad_norm: 1.7711 loss: 1.2000 grounding_loss_reg: 2.5163 detection_loss_cls: 0.0399 detection_loss_reg: 0.4071 caption_loss_cls: 2.1118 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6884 semantic_segmentation_loss_cls: 0.0094 2023/11/03 14:56:18 - mmengine - INFO - Iter(train) [397500/480000] base_lr: 1.6085e-05 lr: 5.6517e-06 eta: 1 day, 12:10:06 time: 2.1706 data_time: 0.1339 memory: 25730 grad_norm: 1.7691 loss: 1.1911 grounding_loss_reg: 2.5179 detection_loss_cls: 0.0398 detection_loss_reg: 0.4067 caption_loss_cls: 2.1123 instance_segmentation_loss_cls: 0.0276 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6888 semantic_segmentation_loss_cls: 0.0093 2023/11/03 14:56:18 - mmengine - INFO - Saving checkpoint at 397500 iterations 2023/11/03 15:00:00 - mmengine - INFO - Iter(train) [397600/480000] base_lr: 1.6052e-05 lr: 5.6431e-06 eta: 1 day, 14:34:47 time: 2.1611 data_time: 0.1331 memory: 25730 grad_norm: 1.7734 loss: 1.1856 grounding_loss_reg: 2.5142 detection_loss_cls: 0.0397 detection_loss_reg: 0.4052 caption_loss_cls: 2.1144 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.6886 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:03:01 - mmengine - INFO - Iter(train) [397700/480000] base_lr: 1.6019e-05 lr: 5.6345e-06 eta: 1 day, 14:56:08 time: 2.1538 data_time: 0.1331 memory: 25730 grad_norm: 1.7683 loss: 1.1817 grounding_loss_reg: 2.5115 detection_loss_cls: 0.0396 detection_loss_reg: 0.4055 caption_loss_cls: 2.1162 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.6879 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:06:00 - mmengine - INFO - Iter(train) [397800/480000] base_lr: 1.5985e-05 lr: 5.6259e-06 eta: 1 day, 15:07:54 time: 2.1433 data_time: 0.1330 memory: 25730 grad_norm: 1.7742 loss: 1.1914 grounding_loss_reg: 2.5126 detection_loss_cls: 0.0394 detection_loss_reg: 0.4056 caption_loss_cls: 2.1180 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6882 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:08:53 - mmengine - INFO - Iter(train) [397900/480000] base_lr: 1.5952e-05 lr: 5.6172e-06 eta: 1 day, 15:07:26 time: 2.1289 data_time: 0.1329 memory: 26570 grad_norm: 1.7716 loss: 1.1917 grounding_loss_reg: 2.5134 detection_loss_cls: 0.0394 detection_loss_reg: 0.4055 caption_loss_cls: 2.1183 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.6887 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:11:52 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 15:11:52 - mmengine - INFO - Iter(train) [398000/480000] base_lr: 1.5919e-05 lr: 5.6087e-06 eta: 1 day, 15:14:53 time: 2.1154 data_time: 0.1329 memory: 26570 grad_norm: 1.7946 loss: 1.1995 grounding_loss_reg: 2.5122 detection_loss_cls: 0.0395 detection_loss_reg: 0.4062 caption_loss_cls: 2.1173 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6876 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:11:52 - mmengine - INFO - Saving checkpoint at 398000 iterations 2023/11/03 15:15:51 - mmengine - INFO - Iter(train) [398100/480000] base_lr: 1.5886e-05 lr: 5.6001e-06 eta: 1 day, 16:34:11 time: 2.1043 data_time: 0.1320 memory: 26570 grad_norm: 1.7861 loss: 1.2018 grounding_loss_reg: 2.5125 detection_loss_cls: 0.0396 detection_loss_reg: 0.4062 caption_loss_cls: 2.1204 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6886 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:18:59 - mmengine - INFO - Iter(train) [398200/480000] base_lr: 1.5853e-05 lr: 5.5915e-06 eta: 1 day, 16:42:22 time: 2.0918 data_time: 0.1320 memory: 25730 grad_norm: 1.7905 loss: 1.2045 grounding_loss_reg: 2.5139 detection_loss_cls: 0.0396 detection_loss_reg: 0.4065 caption_loss_cls: 2.1228 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0093 2023/11/03 15:22:17 - mmengine - INFO - Iter(train) [398300/480000] base_lr: 1.5820e-05 lr: 5.5829e-06 eta: 1 day, 16:59:11 time: 2.0892 data_time: 0.1319 memory: 25730 grad_norm: 1.7812 loss: 1.1959 grounding_loss_reg: 2.5127 detection_loss_cls: 0.0394 detection_loss_reg: 0.4048 caption_loss_cls: 2.1240 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6902 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:25:45 - mmengine - INFO - Iter(train) [398400/480000] base_lr: 1.5787e-05 lr: 5.5744e-06 eta: 1 day, 17:22:22 time: 2.0871 data_time: 0.1319 memory: 25730 grad_norm: 1.7881 loss: 1.1945 grounding_loss_reg: 2.5108 detection_loss_cls: 0.0395 detection_loss_reg: 0.4048 caption_loss_cls: 2.1242 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6903 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:29:25 - mmengine - INFO - Iter(train) [398500/480000] base_lr: 1.5754e-05 lr: 5.5658e-06 eta: 1 day, 17:53:46 time: 2.0916 data_time: 0.1319 memory: 25730 grad_norm: 1.7820 loss: 1.1943 grounding_loss_reg: 2.5108 detection_loss_cls: 0.0394 detection_loss_reg: 0.4043 caption_loss_cls: 2.1250 instance_segmentation_loss_cls: 0.0275 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6905 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:29:25 - mmengine - INFO - Saving checkpoint at 398500 iterations 2023/11/03 15:34:01 - mmengine - INFO - Iter(train) [398600/480000] base_lr: 1.5721e-05 lr: 5.5573e-06 eta: 1 day, 19:07:22 time: 2.0868 data_time: 0.1313 memory: 25730 grad_norm: 1.7868 loss: 1.1930 grounding_loss_reg: 2.5120 detection_loss_cls: 0.0395 detection_loss_reg: 0.4055 caption_loss_cls: 2.1219 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6890 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:37:16 - mmengine - INFO - Iter(train) [398700/480000] base_lr: 1.5688e-05 lr: 5.5488e-06 eta: 1 day, 19:07:49 time: 2.0820 data_time: 0.1312 memory: 26570 grad_norm: 1.7883 loss: 1.1940 grounding_loss_reg: 2.5125 detection_loss_cls: 0.0393 detection_loss_reg: 0.4043 caption_loss_cls: 2.1193 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6882 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:41:09 - mmengine - INFO - Iter(train) [398800/480000] base_lr: 1.5655e-05 lr: 5.5402e-06 eta: 1 day, 19:35:52 time: 2.0898 data_time: 0.1312 memory: 25730 grad_norm: 1.7873 loss: 1.1936 grounding_loss_reg: 2.5139 detection_loss_cls: 0.0393 detection_loss_reg: 0.4040 caption_loss_cls: 2.1157 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6880 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:44:57 - mmengine - INFO - Iter(train) [398900/480000] base_lr: 1.5622e-05 lr: 5.5317e-06 eta: 1 day, 19:57:31 time: 2.0988 data_time: 0.1312 memory: 25730 grad_norm: 1.7835 loss: 1.1913 grounding_loss_reg: 2.5140 detection_loss_cls: 0.0392 detection_loss_reg: 0.4040 caption_loss_cls: 2.1177 instance_segmentation_loss_cls: 0.0274 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.6883 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:48:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 15:48:40 - mmengine - INFO - Iter(train) [399000/480000] base_lr: 1.5590e-05 lr: 5.5232e-06 eta: 1 day, 20:12:50 time: 2.1007 data_time: 0.1312 memory: 25730 grad_norm: 1.7840 loss: 1.1928 grounding_loss_reg: 2.5142 detection_loss_cls: 0.0393 detection_loss_reg: 0.4039 caption_loss_cls: 2.1171 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.6868 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:48:40 - mmengine - INFO - Saving checkpoint at 399000 iterations 2023/11/03 15:53:26 - mmengine - INFO - Iter(train) [399100/480000] base_lr: 1.5557e-05 lr: 5.5147e-06 eta: 1 day, 21:06:50 time: 2.1016 data_time: 0.1307 memory: 25730 grad_norm: 1.7853 loss: 1.1911 grounding_loss_reg: 2.5149 detection_loss_cls: 0.0394 detection_loss_reg: 0.4047 caption_loss_cls: 2.1159 instance_segmentation_loss_cls: 0.0273 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.6869 semantic_segmentation_loss_cls: 0.0094 2023/11/03 15:56:57 - mmengine - INFO - Iter(train) [399200/480000] base_lr: 1.5524e-05 lr: 5.5063e-06 eta: 1 day, 21:09:48 time: 2.1089 data_time: 0.1307 memory: 26570 grad_norm: 1.7826 loss: 1.1902 grounding_loss_reg: 2.5157 detection_loss_cls: 0.0393 detection_loss_reg: 0.4045 caption_loss_cls: 2.1177 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6849 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:00:18 - mmengine - INFO - Iter(train) [399300/480000] base_lr: 1.5491e-05 lr: 5.4978e-06 eta: 1 day, 21:06:24 time: 2.1039 data_time: 0.1306 memory: 25730 grad_norm: 1.7846 loss: 1.1886 grounding_loss_reg: 2.5158 detection_loss_cls: 0.0393 detection_loss_reg: 0.4037 caption_loss_cls: 2.1171 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.6851 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:03:22 - mmengine - INFO - Iter(train) [399400/480000] base_lr: 1.5459e-05 lr: 5.4893e-06 eta: 1 day, 20:53:27 time: 2.0975 data_time: 0.1306 memory: 26570 grad_norm: 1.7938 loss: 1.1937 grounding_loss_reg: 2.5147 detection_loss_cls: 0.0393 detection_loss_reg: 0.4032 caption_loss_cls: 2.1170 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.6854 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:07:09 - mmengine - INFO - Iter(train) [399500/480000] base_lr: 1.5426e-05 lr: 5.4809e-06 eta: 1 day, 21:03:58 time: 2.1014 data_time: 0.1307 memory: 26570 grad_norm: 1.7825 loss: 1.1905 grounding_loss_reg: 2.5139 detection_loss_cls: 0.0392 detection_loss_reg: 0.4030 caption_loss_cls: 2.1172 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.6847 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:07:09 - mmengine - INFO - Saving checkpoint at 399500 iterations 2023/11/03 16:11:31 - mmengine - INFO - Iter(train) [399600/480000] base_lr: 1.5394e-05 lr: 5.4724e-06 eta: 1 day, 21:32:10 time: 2.0974 data_time: 0.1297 memory: 25730 grad_norm: 1.7819 loss: 1.1901 grounding_loss_reg: 2.5124 detection_loss_cls: 0.0392 detection_loss_reg: 0.4025 caption_loss_cls: 2.1138 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6852 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:15:51 - mmengine - INFO - Iter(train) [399700/480000] base_lr: 1.5361e-05 lr: 5.4640e-06 eta: 1 day, 21:56:31 time: 2.1086 data_time: 0.1297 memory: 25730 grad_norm: 1.7793 loss: 1.1925 grounding_loss_reg: 2.5120 detection_loss_cls: 0.0393 detection_loss_reg: 0.4030 caption_loss_cls: 2.1128 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6853 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:19:30 - mmengine - INFO - Iter(train) [399800/480000] base_lr: 1.5329e-05 lr: 5.4556e-06 eta: 1 day, 21:59:00 time: 2.1095 data_time: 0.1297 memory: 25730 grad_norm: 1.7843 loss: 1.1945 grounding_loss_reg: 2.5113 detection_loss_cls: 0.0393 detection_loss_reg: 0.4032 caption_loss_cls: 2.1068 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.6856 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:22:44 - mmengine - INFO - Iter(train) [399900/480000] base_lr: 1.5296e-05 lr: 5.4472e-06 eta: 1 day, 21:50:09 time: 2.1042 data_time: 0.1297 memory: 26570 grad_norm: 1.7786 loss: 1.1891 grounding_loss_reg: 2.5083 detection_loss_cls: 0.0392 detection_loss_reg: 0.4024 caption_loss_cls: 2.1038 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.6860 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:26:21 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 16:26:21 - mmengine - INFO - Iter(train) [400000/480000] base_lr: 1.5264e-05 lr: 5.4388e-06 eta: 1 day, 21:51:19 time: 2.1071 data_time: 0.1297 memory: 25730 grad_norm: 1.7814 loss: 1.1922 grounding_loss_reg: 2.5075 detection_loss_cls: 0.0392 detection_loss_reg: 0.4028 caption_loss_cls: 2.1053 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.6867 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:26:21 - mmengine - INFO - Saving checkpoint at 400000 iterations 2023/11/03 16:32:16 - mmengine - INFO - Evaluating bbox... 2023/11/03 16:33:19 - mmengine - INFO - bbox_mAP_copypaste: 0.531 0.707 0.581 0.379 0.579 0.682 2023/11/03 16:33:19 - mmengine - INFO - Evaluating segm... 2023/11/03 16:34:38 - mmengine - INFO - segm_mAP_copypaste: 0.356 0.622 0.356 0.216 0.404 0.544 2023/11/03 16:36:04 - mmengine - INFO - Evaluating bbox... 2023/11/03 16:37:10 - mmengine - INFO - bbox_mAP_copypaste: 0.532 0.708 0.582 0.379 0.578 0.684 2023/11/03 16:40:43 - mmengine - INFO - per class results: 2023/11/03 16:40:43 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.65 | 89.48 | | building | 82.44 | 93.1 | | sky | 93.27 | 97.69 | | floor | 83.07 | 90.28 | | tree | 74.05 | 87.68 | | ceiling | 85.09 | 93.44 | | road | 85.8 | 90.53 | | bed | 89.97 | 95.5 | | windowpane | 63.61 | 80.0 | | grass | 67.1 | 83.33 | | cabinet | 62.83 | 73.61 | | sidewalk | 69.48 | 82.2 | | person | 81.54 | 92.12 | | earth | 42.9 | 53.66 | | door | 53.89 | 68.27 | | table | 64.93 | 78.7 | | mountain | 63.33 | 81.36 | | plant | 53.23 | 61.39 | | curtain | 75.09 | 87.3 | | chair | 59.9 | 73.8 | | car | 82.65 | 91.07 | | water | 56.58 | 70.32 | | painting | 73.28 | 86.49 | | sofa | 74.19 | 85.51 | | shelf | 44.09 | 61.33 | | house | 37.27 | 51.39 | | sea | 67.1 | 87.49 | | mirror | 69.24 | 77.95 | | rug | 68.31 | 77.93 | | field | 29.45 | 49.01 | | armchair | 53.05 | 69.66 | | seat | 66.0 | 84.94 | | fence | 44.53 | 59.04 | | desk | 55.35 | 73.33 | | rock | 45.4 | 64.58 | | wardrobe | 50.72 | 66.65 | | lamp | 60.82 | 74.04 | | bathtub | 81.38 | 84.15 | | railing | 34.68 | 45.82 | | cushion | 59.94 | 76.4 | | base | 25.6 | 37.64 | | box | 30.07 | 43.12 | | column | 47.6 | 61.63 | | signboard | 35.44 | 48.48 | | chest of drawers | 47.38 | 66.14 | | counter | 28.13 | 36.71 | | sand | 58.2 | 73.51 | | sink | 76.65 | 83.84 | | skyscraper | 50.8 | 60.87 | | fireplace | 69.76 | 86.62 | | refrigerator | 79.29 | 89.68 | | grandstand | 50.01 | 73.22 | | path | 29.2 | 42.84 | | stairs | 35.01 | 43.9 | | runway | 73.8 | 94.0 | | case | 50.25 | 60.33 | | pool table | 91.95 | 95.2 | | pillow | 54.01 | 65.6 | | screen door | 76.43 | 81.06 | | stairway | 32.02 | 39.28 | | river | 13.59 | 29.99 | | bridge | 58.51 | 70.14 | | bookcase | 38.12 | 58.58 | | blind | 41.97 | 47.85 | | coffee table | 62.37 | 77.18 | | toilet | 87.54 | 92.4 | | flower | 36.42 | 60.43 | | book | 45.78 | 66.29 | | hill | 6.62 | 10.52 | | bench | 56.99 | 74.22 | | countertop | 59.36 | 75.09 | | stove | 74.53 | 82.66 | | palm | 49.57 | 69.93 | | kitchen island | 41.29 | 82.94 | | computer | 74.86 | 88.28 | | swivel chair | 39.69 | 49.02 | | boat | 60.97 | 73.31 | | bar | 39.98 | 48.9 | | arcade machine | 71.68 | 80.28 | | hovel | 23.5 | 25.4 | | bus | 92.61 | 96.22 | | towel | 64.77 | 79.51 | | light | 49.31 | 57.54 | | truck | 38.14 | 59.22 | | tower | 44.88 | 67.82 | | chandelier | 60.5 | 73.1 | | awning | 26.49 | 30.45 | | streetlight | 34.33 | 43.25 | | booth | 37.67 | 40.5 | | television receiver | 68.89 | 83.82 | | airplane | 62.62 | 71.32 | | dirt track | 3.97 | 15.76 | | apparel | 39.31 | 54.8 | | pole | 30.99 | 45.45 | | land | 0.52 | 0.64 | | bannister | 14.34 | 19.06 | | escalator | 22.37 | 25.18 | | ottoman | 50.73 | 70.23 | | bottle | 32.03 | 41.3 | | buffet | 45.78 | 51.69 | | poster | 33.73 | 41.87 | | stage | 10.41 | 18.4 | | van | 34.04 | 43.62 | | ship | 73.3 | 87.44 | | fountain | 32.4 | 34.24 | | conveyer belt | 64.56 | 87.66 | | canopy | 23.94 | 28.19 | | washer | 71.52 | 72.59 | | plaything | 25.54 | 30.43 | | swimming pool | 83.06 | 88.01 | | stool | 47.89 | 59.87 | | barrel | 52.77 | 64.99 | | basket | 30.45 | 47.15 | | waterfall | 48.75 | 51.67 | | tent | 90.66 | 97.2 | | bag | 21.35 | 26.15 | | minibike | 73.73 | 88.57 | | cradle | 77.91 | 90.78 | | oven | 48.99 | 65.36 | | ball | 52.8 | 68.28 | | food | 59.69 | 69.86 | | step | 10.47 | 13.75 | | tank | 45.87 | 63.37 | | trade name | 18.83 | 19.92 | | microwave | 87.57 | 94.41 | | pot | 56.82 | 65.52 | | animal | 62.38 | 65.73 | | bicycle | 58.89 | 78.67 | | lake | 56.29 | 62.32 | | dishwasher | 71.8 | 78.52 | | screen | 68.32 | 85.24 | | blanket | 16.79 | 19.22 | | sculpture | 70.37 | 84.66 | | hood | 70.16 | 86.8 | | sconce | 41.28 | 51.58 | | vase | 41.37 | 62.21 | | traffic light | 37.03 | 50.55 | | tray | 17.05 | 29.11 | | ashcan | 41.83 | 61.8 | | fan | 57.5 | 67.51 | | pier | 34.72 | 36.15 | | crt screen | 5.37 | 10.41 | | plate | 56.6 | 70.4 | | monitor | 15.77 | 17.43 | | bulletin board | 44.31 | 52.69 | | shower | 7.87 | 11.14 | | radiator | 57.63 | 67.36 | | glass | 18.01 | 19.23 | | clock | 26.57 | 32.98 | | flag | 65.62 | 72.93 | +---------------------+-------+-------+ 2023/11/03 16:41:07 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.1649 data_time: 0.0114 memory: 27850 2023/11/03 16:41:28 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5320 coco/bbox_mAP_50: 0.7080 coco/bbox_mAP_75: 0.5820 coco/bbox_mAP_s: 0.3790 coco/bbox_mAP_m: 0.5780 coco/bbox_mAP_l: 0.6840 coco/segm_mAP: 0.3560 coco/segm_mAP_50: 0.6220 coco/segm_mAP_75: 0.3560 coco/segm_mAP_s: 0.2160 coco/segm_mAP_m: 0.4040 coco/segm_mAP_l: 0.5440 Bleu_1: 0.7697 Bleu_2: 0.6053 Bleu_3: 0.4634 Bleu_4: 0.3519 METEOR: 0.2879 ROUGE_L: 0.5763 CIDEr: 1.1906 SPICE: 0.2148 aAcc: 84.1100 mIoU: 51.6700 mAcc: 63.0600 visual-grounding/miou: 0.8166 visual-grounding/acc: 0.8818 data_time: 0.0021 time: 0.2282 2023/11/03 16:45:19 - mmengine - INFO - Iter(train) [400100/480000] base_lr: 1.5231e-05 lr: 5.4304e-06 eta: 1 day, 22:00:44 time: 2.0961 data_time: 0.1141 memory: 26569 grad_norm: 1.7858 loss: 1.1934 grounding_loss_reg: 2.5051 detection_loss_cls: 0.0394 detection_loss_reg: 0.4030 caption_loss_cls: 2.1049 instance_segmentation_loss_cls: 0.0272 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.6882 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:48:54 - mmengine - INFO - Iter(train) [400200/480000] base_lr: 1.5199e-05 lr: 5.4220e-06 eta: 1 day, 22:00:19 time: 2.1000 data_time: 0.1141 memory: 25730 grad_norm: 1.7856 loss: 1.1922 grounding_loss_reg: 2.5063 detection_loss_cls: 0.0394 detection_loss_reg: 0.4026 caption_loss_cls: 2.1064 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2684 instance_segmentation_loss_poly: 0.6889 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:52:39 - mmengine - INFO - Iter(train) [400300/480000] base_lr: 1.5167e-05 lr: 5.4136e-06 eta: 1 day, 22:04:11 time: 2.1016 data_time: 0.1142 memory: 25730 grad_norm: 1.7808 loss: 1.1924 grounding_loss_reg: 2.5065 detection_loss_cls: 0.0394 detection_loss_reg: 0.4025 caption_loss_cls: 2.1058 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.6897 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:55:45 - mmengine - INFO - Iter(train) [400400/480000] base_lr: 1.5135e-05 lr: 5.4052e-06 eta: 1 day, 21:51:59 time: 2.0924 data_time: 0.1142 memory: 26569 grad_norm: 1.7967 loss: 1.1940 grounding_loss_reg: 2.5059 detection_loss_cls: 0.0393 detection_loss_reg: 0.4028 caption_loss_cls: 2.1057 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.6885 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:59:14 - mmengine - INFO - Iter(train) [400500/480000] base_lr: 1.5102e-05 lr: 5.3969e-06 eta: 1 day, 21:49:08 time: 2.0872 data_time: 0.1141 memory: 26569 grad_norm: 1.7926 loss: 1.1906 grounding_loss_reg: 2.5052 detection_loss_cls: 0.0392 detection_loss_reg: 0.4022 caption_loss_cls: 2.1038 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.6877 semantic_segmentation_loss_cls: 0.0094 2023/11/03 16:59:14 - mmengine - INFO - Saving checkpoint at 400500 iterations 2023/11/03 17:03:38 - mmengine - INFO - Iter(train) [400600/480000] base_lr: 1.5070e-05 lr: 5.3885e-06 eta: 1 day, 22:06:27 time: 2.0869 data_time: 0.1146 memory: 25730 grad_norm: 1.7965 loss: 1.1900 grounding_loss_reg: 2.5059 detection_loss_cls: 0.0392 detection_loss_reg: 0.4027 caption_loss_cls: 2.1032 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.6873 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:07:26 - mmengine - INFO - Iter(train) [400700/480000] base_lr: 1.5038e-05 lr: 5.3802e-06 eta: 1 day, 22:09:25 time: 2.0978 data_time: 0.1147 memory: 25730 grad_norm: 1.7685 loss: 1.1751 grounding_loss_reg: 2.5050 detection_loss_cls: 0.0392 detection_loss_reg: 0.4024 caption_loss_cls: 2.1018 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.6867 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:11:17 - mmengine - INFO - Iter(train) [400800/480000] base_lr: 1.5006e-05 lr: 5.3719e-06 eta: 1 day, 22:13:31 time: 2.1073 data_time: 0.1147 memory: 26569 grad_norm: 1.7499 loss: 1.1673 grounding_loss_reg: 2.5049 detection_loss_cls: 0.0391 detection_loss_reg: 0.4016 caption_loss_cls: 2.1027 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.6848 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:14:40 - mmengine - INFO - Iter(train) [400900/480000] base_lr: 1.4974e-05 lr: 5.3636e-06 eta: 1 day, 22:07:24 time: 2.1014 data_time: 0.1146 memory: 26569 grad_norm: 1.7550 loss: 1.1701 grounding_loss_reg: 2.5048 detection_loss_cls: 0.0391 detection_loss_reg: 0.4021 caption_loss_cls: 2.1032 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2664 instance_segmentation_loss_poly: 0.6851 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:18:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 17:18:28 - mmengine - INFO - Iter(train) [401000/480000] base_lr: 1.4942e-05 lr: 5.3552e-06 eta: 1 day, 22:10:01 time: 2.1038 data_time: 0.1146 memory: 26569 grad_norm: 1.7491 loss: 1.1693 grounding_loss_reg: 2.5064 detection_loss_cls: 0.0390 detection_loss_reg: 0.4019 caption_loss_cls: 2.1057 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.6840 semantic_segmentation_loss_cls: 0.0093 2023/11/03 17:18:28 - mmengine - INFO - Saving checkpoint at 401000 iterations 2023/11/03 17:23:07 - mmengine - INFO - Iter(train) [401100/480000] base_lr: 1.4910e-05 lr: 5.3469e-06 eta: 1 day, 22:28:23 time: 2.1374 data_time: 0.1319 memory: 26569 grad_norm: 1.7524 loss: 1.1690 grounding_loss_reg: 2.5051 detection_loss_cls: 0.0390 detection_loss_reg: 0.4013 caption_loss_cls: 2.1056 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2657 instance_segmentation_loss_poly: 0.6831 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:26:54 - mmengine - INFO - Iter(train) [401200/480000] base_lr: 1.4878e-05 lr: 5.3387e-06 eta: 1 day, 22:29:42 time: 2.1559 data_time: 0.1320 memory: 25730 grad_norm: 1.7529 loss: 1.1680 grounding_loss_reg: 2.5024 detection_loss_cls: 0.0388 detection_loss_reg: 0.4005 caption_loss_cls: 2.1026 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.6840 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:30:26 - mmengine - INFO - Iter(train) [401300/480000] base_lr: 1.4846e-05 lr: 5.3304e-06 eta: 1 day, 22:25:45 time: 2.1692 data_time: 0.1321 memory: 26569 grad_norm: 1.7541 loss: 1.1704 grounding_loss_reg: 2.5018 detection_loss_cls: 0.0388 detection_loss_reg: 0.3999 caption_loss_cls: 2.1009 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:33:47 - mmengine - INFO - Iter(train) [401400/480000] base_lr: 1.4814e-05 lr: 5.3221e-06 eta: 1 day, 22:18:54 time: 2.1792 data_time: 0.1321 memory: 26569 grad_norm: 1.7598 loss: 1.1751 grounding_loss_reg: 2.5030 detection_loss_cls: 0.0388 detection_loss_reg: 0.4006 caption_loss_cls: 2.0992 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2650 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:37:14 - mmengine - INFO - Iter(train) [401500/480000] base_lr: 1.4782e-05 lr: 5.3138e-06 eta: 1 day, 22:13:59 time: 2.1880 data_time: 0.1321 memory: 25730 grad_norm: 1.7666 loss: 1.1771 grounding_loss_reg: 2.5033 detection_loss_cls: 0.0389 detection_loss_reg: 0.4013 caption_loss_cls: 2.0987 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2653 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0093 2023/11/03 17:37:14 - mmengine - INFO - Saving checkpoint at 401500 iterations 2023/11/03 17:42:09 - mmengine - INFO - Iter(train) [401600/480000] base_lr: 1.4750e-05 lr: 5.3056e-06 eta: 1 day, 22:33:50 time: 2.2060 data_time: 0.1333 memory: 25730 grad_norm: 1.7609 loss: 1.1793 grounding_loss_reg: 2.5020 detection_loss_cls: 0.0389 detection_loss_reg: 0.4015 caption_loss_cls: 2.1005 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2647 instance_segmentation_loss_poly: 0.6805 semantic_segmentation_loss_cls: 0.0093 2023/11/03 17:45:37 - mmengine - INFO - Iter(train) [401700/480000] base_lr: 1.4718e-05 lr: 5.2974e-06 eta: 1 day, 22:28:44 time: 2.2129 data_time: 0.1333 memory: 26569 grad_norm: 1.7601 loss: 1.1789 grounding_loss_reg: 2.4993 detection_loss_cls: 0.0389 detection_loss_reg: 0.4006 caption_loss_cls: 2.1004 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.6809 semantic_segmentation_loss_cls: 0.0093 2023/11/03 17:49:42 - mmengine - INFO - Iter(train) [401800/480000] base_lr: 1.4687e-05 lr: 5.2891e-06 eta: 1 day, 22:33:29 time: 2.2293 data_time: 0.1334 memory: 26569 grad_norm: 1.7559 loss: 1.1750 grounding_loss_reg: 2.5010 detection_loss_cls: 0.0388 detection_loss_reg: 0.4002 caption_loss_cls: 2.1004 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6816 semantic_segmentation_loss_cls: 0.0093 2023/11/03 17:53:11 - mmengine - INFO - Iter(train) [401900/480000] base_lr: 1.4655e-05 lr: 5.2809e-06 eta: 1 day, 22:28:37 time: 2.2384 data_time: 0.1334 memory: 26569 grad_norm: 1.7679 loss: 1.1795 grounding_loss_reg: 2.5013 detection_loss_cls: 0.0388 detection_loss_reg: 0.4005 caption_loss_cls: 2.1036 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2656 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:56:26 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 17:56:26 - mmengine - INFO - Iter(train) [402000/480000] base_lr: 1.4623e-05 lr: 5.2727e-06 eta: 1 day, 22:20:06 time: 2.2424 data_time: 0.1334 memory: 26569 grad_norm: 1.7720 loss: 1.1904 grounding_loss_reg: 2.5032 detection_loss_cls: 0.0387 detection_loss_reg: 0.3999 caption_loss_cls: 2.1069 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2663 instance_segmentation_loss_poly: 0.6834 semantic_segmentation_loss_cls: 0.0094 2023/11/03 17:56:26 - mmengine - INFO - Saving checkpoint at 402000 iterations 2023/11/03 18:01:33 - mmengine - INFO - Iter(train) [402100/480000] base_lr: 1.4592e-05 lr: 5.2645e-06 eta: 1 day, 22:40:15 time: 2.2595 data_time: 0.1344 memory: 25730 grad_norm: 1.7798 loss: 1.1896 grounding_loss_reg: 2.5035 detection_loss_cls: 0.0389 detection_loss_reg: 0.4010 caption_loss_cls: 2.1083 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6811 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:05:27 - mmengine - INFO - Iter(train) [402200/480000] base_lr: 1.4560e-05 lr: 5.2563e-06 eta: 1 day, 22:41:02 time: 2.2708 data_time: 0.1344 memory: 25730 grad_norm: 1.7718 loss: 1.1839 grounding_loss_reg: 2.5037 detection_loss_cls: 0.0388 detection_loss_reg: 0.3997 caption_loss_cls: 2.1049 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2651 instance_segmentation_loss_poly: 0.6807 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:09:22 - mmengine - INFO - Iter(train) [402300/480000] base_lr: 1.4528e-05 lr: 5.2481e-06 eta: 1 day, 22:42:13 time: 2.2802 data_time: 0.1346 memory: 25730 grad_norm: 1.7743 loss: 1.1829 grounding_loss_reg: 2.5039 detection_loss_cls: 0.0388 detection_loss_reg: 0.3991 caption_loss_cls: 2.1062 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2656 instance_segmentation_loss_poly: 0.6812 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:13:05 - mmengine - INFO - Iter(train) [402400/480000] base_lr: 1.4497e-05 lr: 5.2399e-06 eta: 1 day, 22:40:12 time: 2.2840 data_time: 0.1346 memory: 25730 grad_norm: 1.7671 loss: 1.1767 grounding_loss_reg: 2.5034 detection_loss_cls: 0.0388 detection_loss_reg: 0.3993 caption_loss_cls: 2.1055 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2658 instance_segmentation_loss_poly: 0.6821 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:17:09 - mmengine - INFO - Iter(train) [402500/480000] base_lr: 1.4465e-05 lr: 5.2318e-06 eta: 1 day, 22:42:54 time: 2.2898 data_time: 0.1346 memory: 26569 grad_norm: 1.7572 loss: 1.1728 grounding_loss_reg: 2.5015 detection_loss_cls: 0.0388 detection_loss_reg: 0.3986 caption_loss_cls: 2.1053 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.6806 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:17:09 - mmengine - INFO - Saving checkpoint at 402500 iterations 2023/11/03 18:22:15 - mmengine - INFO - Iter(train) [402600/480000] base_lr: 1.4434e-05 lr: 5.2236e-06 eta: 1 day, 22:59:47 time: 2.2974 data_time: 0.1349 memory: 26569 grad_norm: 1.7508 loss: 1.1717 grounding_loss_reg: 2.5011 detection_loss_cls: 0.0389 detection_loss_reg: 0.3999 caption_loss_cls: 2.1065 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2642 instance_segmentation_loss_poly: 0.6789 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:25:47 - mmengine - INFO - Iter(train) [402700/480000] base_lr: 1.4402e-05 lr: 5.2155e-06 eta: 1 day, 22:54:42 time: 2.3016 data_time: 0.1350 memory: 26569 grad_norm: 1.7556 loss: 1.1702 grounding_loss_reg: 2.4985 detection_loss_cls: 0.0388 detection_loss_reg: 0.3995 caption_loss_cls: 2.1045 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2643 instance_segmentation_loss_poly: 0.6788 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:29:35 - mmengine - INFO - Iter(train) [402800/480000] base_lr: 1.4371e-05 lr: 5.2073e-06 eta: 1 day, 22:53:08 time: 2.3004 data_time: 0.1351 memory: 25730 grad_norm: 1.7546 loss: 1.1746 grounding_loss_reg: 2.4985 detection_loss_cls: 0.0389 detection_loss_reg: 0.3996 caption_loss_cls: 2.1006 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2651 instance_segmentation_loss_poly: 0.6801 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:33:41 - mmengine - INFO - Iter(train) [402900/480000] base_lr: 1.4340e-05 lr: 5.1992e-06 eta: 1 day, 22:55:21 time: 2.3048 data_time: 0.1351 memory: 25730 grad_norm: 1.7527 loss: 1.1770 grounding_loss_reg: 2.5000 detection_loss_cls: 0.0390 detection_loss_reg: 0.4006 caption_loss_cls: 2.1015 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2654 instance_segmentation_loss_poly: 0.6803 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:37:22 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 18:37:22 - mmengine - INFO - Iter(train) [403000/480000] base_lr: 1.4308e-05 lr: 5.1911e-06 eta: 1 day, 22:52:06 time: 2.3043 data_time: 0.1352 memory: 25730 grad_norm: 1.7558 loss: 1.1789 grounding_loss_reg: 2.5012 detection_loss_cls: 0.0390 detection_loss_reg: 0.4004 caption_loss_cls: 2.1011 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6803 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:37:22 - mmengine - INFO - Saving checkpoint at 403000 iterations 2023/11/03 18:42:10 - mmengine - INFO - Iter(train) [403100/480000] base_lr: 1.4277e-05 lr: 5.1830e-06 eta: 1 day, 23:02:51 time: 2.3048 data_time: 0.1355 memory: 26569 grad_norm: 1.7595 loss: 1.1765 grounding_loss_reg: 2.5006 detection_loss_cls: 0.0389 detection_loss_reg: 0.3988 caption_loss_cls: 2.0993 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2650 instance_segmentation_loss_poly: 0.6803 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:46:17 - mmengine - INFO - Iter(train) [403200/480000] base_lr: 1.4246e-05 lr: 5.1749e-06 eta: 1 day, 23:04:39 time: 2.3138 data_time: 0.1354 memory: 25730 grad_norm: 1.7563 loss: 1.1747 grounding_loss_reg: 2.5014 detection_loss_cls: 0.0388 detection_loss_reg: 0.3980 caption_loss_cls: 2.0979 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2649 instance_segmentation_loss_poly: 0.6805 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:50:26 - mmengine - INFO - Iter(train) [403300/480000] base_lr: 1.4215e-05 lr: 5.1668e-06 eta: 1 day, 23:06:51 time: 2.3259 data_time: 0.1356 memory: 25730 grad_norm: 1.7506 loss: 1.1762 grounding_loss_reg: 2.5011 detection_loss_cls: 0.0388 detection_loss_reg: 0.3987 caption_loss_cls: 2.0985 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2651 instance_segmentation_loss_poly: 0.6809 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:54:04 - mmengine - INFO - Iter(train) [403400/480000] base_lr: 1.4184e-05 lr: 5.1587e-06 eta: 1 day, 23:02:33 time: 2.3344 data_time: 0.1356 memory: 25730 grad_norm: 1.7517 loss: 1.1754 grounding_loss_reg: 2.5023 detection_loss_cls: 0.0388 detection_loss_reg: 0.3983 caption_loss_cls: 2.0976 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2650 instance_segmentation_loss_poly: 0.6809 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:57:49 - mmengine - INFO - Iter(train) [403500/480000] base_lr: 1.4152e-05 lr: 5.1506e-06 eta: 1 day, 22:59:37 time: 2.3340 data_time: 0.1357 memory: 25730 grad_norm: 1.7511 loss: 1.1739 grounding_loss_reg: 2.5026 detection_loss_cls: 0.0388 detection_loss_reg: 0.3988 caption_loss_cls: 2.0990 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2643 instance_segmentation_loss_poly: 0.6801 semantic_segmentation_loss_cls: 0.0094 2023/11/03 18:57:49 - mmengine - INFO - Saving checkpoint at 403500 iterations 2023/11/03 19:02:34 - mmengine - INFO - Iter(train) [403600/480000] base_lr: 1.4121e-05 lr: 5.1426e-06 eta: 1 day, 23:08:09 time: 2.3394 data_time: 0.1371 memory: 26569 grad_norm: 1.7530 loss: 1.1808 grounding_loss_reg: 2.5021 detection_loss_cls: 0.0389 detection_loss_reg: 0.3990 caption_loss_cls: 2.1027 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6791 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:06:12 - mmengine - INFO - Iter(train) [403700/480000] base_lr: 1.4090e-05 lr: 5.1345e-06 eta: 1 day, 23:03:39 time: 2.3290 data_time: 0.1371 memory: 26569 grad_norm: 1.7556 loss: 1.1852 grounding_loss_reg: 2.5036 detection_loss_cls: 0.0389 detection_loss_reg: 0.3995 caption_loss_cls: 2.1042 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2643 instance_segmentation_loss_poly: 0.6805 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:09:58 - mmengine - INFO - Iter(train) [403800/480000] base_lr: 1.4059e-05 lr: 5.1265e-06 eta: 1 day, 23:00:43 time: 2.3309 data_time: 0.1372 memory: 26569 grad_norm: 1.7483 loss: 1.1849 grounding_loss_reg: 2.5036 detection_loss_cls: 0.0389 detection_loss_reg: 0.3995 caption_loss_cls: 2.1021 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2654 instance_segmentation_loss_poly: 0.6817 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:13:37 - mmengine - INFO - Iter(train) [403900/480000] base_lr: 1.4028e-05 lr: 5.1185e-06 eta: 1 day, 22:56:26 time: 2.3370 data_time: 0.1372 memory: 26569 grad_norm: 1.7515 loss: 1.1885 grounding_loss_reg: 2.5025 detection_loss_cls: 0.0388 detection_loss_reg: 0.3993 caption_loss_cls: 2.1008 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2654 instance_segmentation_loss_poly: 0.6815 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:16:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 19:16:56 - mmengine - INFO - Iter(train) [404000/480000] base_lr: 1.3997e-05 lr: 5.1104e-06 eta: 1 day, 22:48:28 time: 2.3325 data_time: 0.1372 memory: 26569 grad_norm: 1.7603 loss: 1.1907 grounding_loss_reg: 2.5010 detection_loss_cls: 0.0388 detection_loss_reg: 0.3995 caption_loss_cls: 2.0982 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2654 instance_segmentation_loss_poly: 0.6815 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:16:56 - mmengine - INFO - Saving checkpoint at 404000 iterations 2023/11/03 19:21:35 - mmengine - INFO - Iter(train) [404100/480000] base_lr: 1.3967e-05 lr: 5.1024e-06 eta: 1 day, 22:55:06 time: 2.3434 data_time: 0.1528 memory: 26569 grad_norm: 1.7677 loss: 1.1958 grounding_loss_reg: 2.5009 detection_loss_cls: 0.0389 detection_loss_reg: 0.4002 caption_loss_cls: 2.0959 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2653 instance_segmentation_loss_poly: 0.6821 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:24:58 - mmengine - INFO - Iter(train) [404200/480000] base_lr: 1.3936e-05 lr: 5.0944e-06 eta: 1 day, 22:47:53 time: 2.3403 data_time: 0.1528 memory: 25730 grad_norm: 1.7634 loss: 1.1949 grounding_loss_reg: 2.4994 detection_loss_cls: 0.0389 detection_loss_reg: 0.4005 caption_loss_cls: 2.0945 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2651 instance_segmentation_loss_poly: 0.6813 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:29:01 - mmengine - INFO - Iter(train) [404300/480000] base_lr: 1.3905e-05 lr: 5.0864e-06 eta: 1 day, 22:47:47 time: 2.3447 data_time: 0.1527 memory: 26569 grad_norm: 1.7632 loss: 1.1877 grounding_loss_reg: 2.4966 detection_loss_cls: 0.0389 detection_loss_reg: 0.4005 caption_loss_cls: 2.0933 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2649 instance_segmentation_loss_poly: 0.6806 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:32:52 - mmengine - INFO - Iter(train) [404400/480000] base_lr: 1.3874e-05 lr: 5.0785e-06 eta: 1 day, 22:45:22 time: 2.3558 data_time: 0.1528 memory: 25730 grad_norm: 1.7589 loss: 1.1895 grounding_loss_reg: 2.4943 detection_loss_cls: 0.0388 detection_loss_reg: 0.4000 caption_loss_cls: 2.0913 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2653 instance_segmentation_loss_poly: 0.6819 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:36:53 - mmengine - INFO - Iter(train) [404500/480000] base_lr: 1.3843e-05 lr: 5.0705e-06 eta: 1 day, 22:44:44 time: 2.3638 data_time: 0.1528 memory: 26569 grad_norm: 1.7594 loss: 1.1911 grounding_loss_reg: 2.4928 detection_loss_cls: 0.0389 detection_loss_reg: 0.4007 caption_loss_cls: 2.0864 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6816 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:36:53 - mmengine - INFO - Saving checkpoint at 404500 iterations 2023/11/03 19:41:09 - mmengine - INFO - Iter(train) [404600/480000] base_lr: 1.3813e-05 lr: 5.0625e-06 eta: 1 day, 22:46:31 time: 2.3618 data_time: 0.1518 memory: 25730 grad_norm: 1.7564 loss: 1.1939 grounding_loss_reg: 2.4924 detection_loss_cls: 0.0389 detection_loss_reg: 0.4010 caption_loss_cls: 2.0893 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2650 instance_segmentation_loss_poly: 0.6814 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:44:41 - mmengine - INFO - Iter(train) [404700/480000] base_lr: 1.3782e-05 lr: 5.0546e-06 eta: 1 day, 22:40:57 time: 2.3581 data_time: 0.1519 memory: 26569 grad_norm: 1.7703 loss: 1.2041 grounding_loss_reg: 2.4926 detection_loss_cls: 0.0389 detection_loss_reg: 0.4013 caption_loss_cls: 2.0870 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.6818 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:48:18 - mmengine - INFO - Iter(train) [404800/480000] base_lr: 1.3751e-05 lr: 5.0466e-06 eta: 1 day, 22:36:15 time: 2.3545 data_time: 0.1519 memory: 26569 grad_norm: 1.7841 loss: 1.2120 grounding_loss_reg: 2.4934 detection_loss_cls: 0.0389 detection_loss_reg: 0.4005 caption_loss_cls: 2.0870 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.6817 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:52:07 - mmengine - INFO - Iter(train) [404900/480000] base_lr: 1.3721e-05 lr: 5.0387e-06 eta: 1 day, 22:33:22 time: 2.3610 data_time: 0.1519 memory: 26569 grad_norm: 1.7858 loss: 1.2105 grounding_loss_reg: 2.4923 detection_loss_cls: 0.0389 detection_loss_reg: 0.4016 caption_loss_cls: 2.0853 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2641 instance_segmentation_loss_poly: 0.6798 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:55:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 19:55:44 - mmengine - INFO - Iter(train) [405000/480000] base_lr: 1.3690e-05 lr: 5.0308e-06 eta: 1 day, 22:28:44 time: 2.3582 data_time: 0.1519 memory: 26569 grad_norm: 1.7922 loss: 1.2127 grounding_loss_reg: 2.4906 detection_loss_cls: 0.0389 detection_loss_reg: 0.4015 caption_loss_cls: 2.0875 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2639 instance_segmentation_loss_poly: 0.6794 semantic_segmentation_loss_cls: 0.0094 2023/11/03 19:55:44 - mmengine - INFO - Saving checkpoint at 405000 iterations 2023/11/03 20:01:07 - mmengine - INFO - Iter(train) [405100/480000] base_lr: 1.3660e-05 lr: 5.0229e-06 eta: 1 day, 22:40:23 time: 2.3692 data_time: 0.1519 memory: 26569 grad_norm: 1.7842 loss: 1.2113 grounding_loss_reg: 2.4892 detection_loss_cls: 0.0388 detection_loss_reg: 0.4006 caption_loss_cls: 2.0870 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.6804 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:04:46 - mmengine - INFO - Iter(train) [405200/480000] base_lr: 1.3629e-05 lr: 5.0149e-06 eta: 1 day, 22:35:52 time: 2.3671 data_time: 0.1518 memory: 25730 grad_norm: 1.7891 loss: 1.2108 grounding_loss_reg: 2.4874 detection_loss_cls: 0.0388 detection_loss_reg: 0.3998 caption_loss_cls: 2.0894 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2661 instance_segmentation_loss_poly: 0.6809 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:08:34 - mmengine - INFO - Iter(train) [405300/480000] base_lr: 1.3599e-05 lr: 5.0071e-06 eta: 1 day, 22:32:41 time: 2.3714 data_time: 0.1518 memory: 26569 grad_norm: 1.7806 loss: 1.2092 grounding_loss_reg: 2.4905 detection_loss_cls: 0.0385 detection_loss_reg: 0.3982 caption_loss_cls: 2.0889 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2659 instance_segmentation_loss_poly: 0.6793 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:12:14 - mmengine - INFO - Iter(train) [405400/480000] base_lr: 1.3568e-05 lr: 4.9992e-06 eta: 1 day, 22:28:12 time: 2.3759 data_time: 0.1519 memory: 25730 grad_norm: 1.7792 loss: 1.2040 grounding_loss_reg: 2.4914 detection_loss_cls: 0.0385 detection_loss_reg: 0.3986 caption_loss_cls: 2.0882 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2662 instance_segmentation_loss_poly: 0.6800 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:15:40 - mmengine - INFO - Iter(train) [405500/480000] base_lr: 1.3538e-05 lr: 4.9913e-06 eta: 1 day, 22:21:51 time: 2.3756 data_time: 0.1519 memory: 25730 grad_norm: 1.7772 loss: 1.2053 grounding_loss_reg: 2.4909 detection_loss_cls: 0.0386 detection_loss_reg: 0.3994 caption_loss_cls: 2.0860 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2659 instance_segmentation_loss_poly: 0.6797 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:15:40 - mmengine - INFO - Saving checkpoint at 405500 iterations 2023/11/03 20:20:33 - mmengine - INFO - Iter(train) [405600/480000] base_lr: 1.3508e-05 lr: 4.9834e-06 eta: 1 day, 22:28:05 time: 2.3753 data_time: 0.1515 memory: 25730 grad_norm: 1.7716 loss: 1.2003 grounding_loss_reg: 2.4888 detection_loss_cls: 0.0385 detection_loss_reg: 0.3997 caption_loss_cls: 2.0851 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6783 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:24:05 - mmengine - INFO - Iter(train) [405700/480000] base_lr: 1.3477e-05 lr: 4.9756e-06 eta: 1 day, 22:22:31 time: 2.3763 data_time: 0.1515 memory: 26569 grad_norm: 1.7764 loss: 1.2055 grounding_loss_reg: 2.4883 detection_loss_cls: 0.0385 detection_loss_reg: 0.3996 caption_loss_cls: 2.0857 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2647 instance_segmentation_loss_poly: 0.6774 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:27:39 - mmengine - INFO - Iter(train) [405800/480000] base_lr: 1.3447e-05 lr: 4.9677e-06 eta: 1 day, 22:17:13 time: 2.3686 data_time: 0.1515 memory: 26569 grad_norm: 1.7944 loss: 1.2104 grounding_loss_reg: 2.4874 detection_loss_cls: 0.0384 detection_loss_reg: 0.3999 caption_loss_cls: 2.0847 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2651 instance_segmentation_loss_poly: 0.6779 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:31:23 - mmengine - INFO - Iter(train) [405900/480000] base_lr: 1.3417e-05 lr: 4.9599e-06 eta: 1 day, 22:13:19 time: 2.3721 data_time: 0.1514 memory: 25730 grad_norm: 1.7793 loss: 1.1977 grounding_loss_reg: 2.4851 detection_loss_cls: 0.0385 detection_loss_reg: 0.4006 caption_loss_cls: 2.0867 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6757 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:35:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 20:35:13 - mmengine - INFO - Iter(train) [406000/480000] base_lr: 1.3387e-05 lr: 4.9521e-06 eta: 1 day, 22:10:20 time: 2.3808 data_time: 0.1514 memory: 25730 grad_norm: 1.7662 loss: 1.1849 grounding_loss_reg: 2.4865 detection_loss_cls: 0.0385 detection_loss_reg: 0.3997 caption_loss_cls: 2.0895 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2633 instance_segmentation_loss_poly: 0.6745 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:35:13 - mmengine - INFO - Saving checkpoint at 406000 iterations 2023/11/03 20:40:19 - mmengine - INFO - Iter(train) [406100/480000] base_lr: 1.3356e-05 lr: 4.9442e-06 eta: 1 day, 22:17:38 time: 2.3806 data_time: 0.1508 memory: 26569 grad_norm: 1.7651 loss: 1.1821 grounding_loss_reg: 2.4839 detection_loss_cls: 0.0385 detection_loss_reg: 0.3996 caption_loss_cls: 2.0892 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:44:08 - mmengine - INFO - Iter(train) [406200/480000] base_lr: 1.3326e-05 lr: 4.9364e-06 eta: 1 day, 22:14:23 time: 2.3796 data_time: 0.1508 memory: 26569 grad_norm: 1.7777 loss: 1.1838 grounding_loss_reg: 2.4819 detection_loss_cls: 0.0386 detection_loss_reg: 0.4001 caption_loss_cls: 2.0882 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2633 instance_segmentation_loss_poly: 0.6751 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:48:06 - mmengine - INFO - Iter(train) [406300/480000] base_lr: 1.3296e-05 lr: 4.9286e-06 eta: 1 day, 22:12:10 time: 2.3801 data_time: 0.1508 memory: 25730 grad_norm: 1.7885 loss: 1.1921 grounding_loss_reg: 2.4840 detection_loss_cls: 0.0386 detection_loss_reg: 0.4005 caption_loss_cls: 2.0874 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6743 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:51:47 - mmengine - INFO - Iter(train) [406400/480000] base_lr: 1.3266e-05 lr: 4.9209e-06 eta: 1 day, 22:07:49 time: 2.3796 data_time: 0.1508 memory: 25730 grad_norm: 1.7906 loss: 1.1895 grounding_loss_reg: 2.4841 detection_loss_cls: 0.0386 detection_loss_reg: 0.4013 caption_loss_cls: 2.0853 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:55:31 - mmengine - INFO - Iter(train) [406500/480000] base_lr: 1.3236e-05 lr: 4.9131e-06 eta: 1 day, 22:03:51 time: 2.3748 data_time: 0.1507 memory: 26569 grad_norm: 1.8049 loss: 1.1953 grounding_loss_reg: 2.4811 detection_loss_cls: 0.0386 detection_loss_reg: 0.4017 caption_loss_cls: 2.0834 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6754 semantic_segmentation_loss_cls: 0.0094 2023/11/03 20:55:31 - mmengine - INFO - Saving checkpoint at 406500 iterations 2023/11/03 21:00:45 - mmengine - INFO - Iter(train) [406600/480000] base_lr: 1.3206e-05 lr: 4.9053e-06 eta: 1 day, 22:11:15 time: 2.3766 data_time: 0.1514 memory: 26569 grad_norm: 1.8157 loss: 1.1999 grounding_loss_reg: 2.4817 detection_loss_cls: 0.0386 detection_loss_reg: 0.4015 caption_loss_cls: 2.0853 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2639 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:04:22 - mmengine - INFO - Iter(train) [406700/480000] base_lr: 1.3176e-05 lr: 4.8975e-06 eta: 1 day, 22:06:21 time: 2.3779 data_time: 0.1514 memory: 25730 grad_norm: 1.8192 loss: 1.2031 grounding_loss_reg: 2.4801 detection_loss_cls: 0.0385 detection_loss_reg: 0.4013 caption_loss_cls: 2.0883 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6765 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:08:39 - mmengine - INFO - Iter(train) [406800/480000] base_lr: 1.3146e-05 lr: 4.8898e-06 eta: 1 day, 22:06:18 time: 2.3850 data_time: 0.1514 memory: 26569 grad_norm: 1.8157 loss: 1.1989 grounding_loss_reg: 2.4801 detection_loss_cls: 0.0385 detection_loss_reg: 0.4018 caption_loss_cls: 2.0883 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2639 instance_segmentation_loss_poly: 0.6759 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:12:14 - mmengine - INFO - Iter(train) [406900/480000] base_lr: 1.3117e-05 lr: 4.8821e-06 eta: 1 day, 22:01:05 time: 2.3774 data_time: 0.1513 memory: 25730 grad_norm: 1.8184 loss: 1.1939 grounding_loss_reg: 2.4782 detection_loss_cls: 0.0384 detection_loss_reg: 0.4017 caption_loss_cls: 2.0848 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6750 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:15:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 21:15:58 - mmengine - INFO - Iter(train) [407000/480000] base_lr: 1.3087e-05 lr: 4.8743e-06 eta: 1 day, 21:56:58 time: 2.3781 data_time: 0.1513 memory: 26569 grad_norm: 1.8178 loss: 1.1930 grounding_loss_reg: 2.4763 detection_loss_cls: 0.0385 detection_loss_reg: 0.4021 caption_loss_cls: 2.0816 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6752 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:15:58 - mmengine - INFO - Saving checkpoint at 407000 iterations 2023/11/03 21:21:21 - mmengine - INFO - Iter(train) [407100/480000] base_lr: 1.3057e-05 lr: 4.8666e-06 eta: 1 day, 22:04:46 time: 2.3869 data_time: 0.1518 memory: 26569 grad_norm: 1.8177 loss: 1.1929 grounding_loss_reg: 2.4742 detection_loss_cls: 0.0384 detection_loss_reg: 0.4007 caption_loss_cls: 2.0817 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2633 instance_segmentation_loss_poly: 0.6756 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:25:24 - mmengine - INFO - Iter(train) [407200/480000] base_lr: 1.3027e-05 lr: 4.8589e-06 eta: 1 day, 22:02:53 time: 2.3862 data_time: 0.1519 memory: 26569 grad_norm: 1.8169 loss: 1.1920 grounding_loss_reg: 2.4720 detection_loss_cls: 0.0385 detection_loss_reg: 0.4010 caption_loss_cls: 2.0799 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0095 2023/11/03 21:29:14 - mmengine - INFO - Iter(train) [407300/480000] base_lr: 1.2997e-05 lr: 4.8512e-06 eta: 1 day, 21:59:22 time: 2.3813 data_time: 0.1518 memory: 26569 grad_norm: 1.8102 loss: 1.1853 grounding_loss_reg: 2.4702 detection_loss_cls: 0.0385 detection_loss_reg: 0.4009 caption_loss_cls: 2.0820 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6751 semantic_segmentation_loss_cls: 0.0095 2023/11/03 21:32:25 - mmengine - INFO - Iter(train) [407400/480000] base_lr: 1.2968e-05 lr: 4.8435e-06 eta: 1 day, 21:51:16 time: 2.3744 data_time: 0.1518 memory: 26569 grad_norm: 1.8197 loss: 1.1929 grounding_loss_reg: 2.4727 detection_loss_cls: 0.0385 detection_loss_reg: 0.4014 caption_loss_cls: 2.0815 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0095 2023/11/03 21:36:18 - mmengine - INFO - Iter(train) [407500/480000] base_lr: 1.2938e-05 lr: 4.8358e-06 eta: 1 day, 21:48:07 time: 2.3764 data_time: 0.1518 memory: 25730 grad_norm: 1.8263 loss: 1.1965 grounding_loss_reg: 2.4727 detection_loss_cls: 0.0386 detection_loss_reg: 0.4022 caption_loss_cls: 2.0824 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2624 instance_segmentation_loss_poly: 0.6741 semantic_segmentation_loss_cls: 0.0095 2023/11/03 21:36:18 - mmengine - INFO - Saving checkpoint at 407500 iterations 2023/11/03 21:40:53 - mmengine - INFO - Iter(train) [407600/480000] base_lr: 1.2909e-05 lr: 4.8282e-06 eta: 1 day, 21:49:44 time: 2.3740 data_time: 0.1510 memory: 25730 grad_norm: 1.8291 loss: 1.1984 grounding_loss_reg: 2.4727 detection_loss_cls: 0.0385 detection_loss_reg: 0.4019 caption_loss_cls: 2.0822 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6751 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:44:39 - mmengine - INFO - Iter(train) [407700/480000] base_lr: 1.2879e-05 lr: 4.8205e-06 eta: 1 day, 21:45:38 time: 2.3759 data_time: 0.1509 memory: 26569 grad_norm: 1.8311 loss: 1.1893 grounding_loss_reg: 2.4703 detection_loss_cls: 0.0385 detection_loss_reg: 0.4024 caption_loss_cls: 2.0796 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6728 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:48:22 - mmengine - INFO - Iter(train) [407800/480000] base_lr: 1.2850e-05 lr: 4.8128e-06 eta: 1 day, 21:41:23 time: 2.3753 data_time: 0.1509 memory: 26569 grad_norm: 1.8457 loss: 1.1928 grounding_loss_reg: 2.4687 detection_loss_cls: 0.0385 detection_loss_reg: 0.4027 caption_loss_cls: 2.0816 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6726 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:52:08 - mmengine - INFO - Iter(train) [407900/480000] base_lr: 1.2820e-05 lr: 4.8052e-06 eta: 1 day, 21:37:17 time: 2.3768 data_time: 0.1509 memory: 25730 grad_norm: 1.8391 loss: 1.1865 grounding_loss_reg: 2.4685 detection_loss_cls: 0.0385 detection_loss_reg: 0.4030 caption_loss_cls: 2.0810 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6714 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:55:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 21:55:34 - mmengine - INFO - Iter(train) [408000/480000] base_lr: 1.2791e-05 lr: 4.7976e-06 eta: 1 day, 21:31:06 time: 2.3787 data_time: 0.1509 memory: 26569 grad_norm: 1.8300 loss: 1.1857 grounding_loss_reg: 2.4678 detection_loss_cls: 0.0386 detection_loss_reg: 0.4029 caption_loss_cls: 2.0796 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6707 semantic_segmentation_loss_cls: 0.0094 2023/11/03 21:55:34 - mmengine - INFO - Saving checkpoint at 408000 iterations 2023/11/03 22:00:20 - mmengine - INFO - Iter(train) [408100/480000] base_lr: 1.2761e-05 lr: 4.7900e-06 eta: 1 day, 21:33:42 time: 2.3804 data_time: 0.1513 memory: 25730 grad_norm: 1.8243 loss: 1.1880 grounding_loss_reg: 2.4699 detection_loss_cls: 0.0388 detection_loss_reg: 0.4039 caption_loss_cls: 2.0821 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:04:08 - mmengine - INFO - Iter(train) [408200/480000] base_lr: 1.2732e-05 lr: 4.7823e-06 eta: 1 day, 21:29:47 time: 2.3866 data_time: 0.1513 memory: 26569 grad_norm: 1.8291 loss: 1.1899 grounding_loss_reg: 2.4715 detection_loss_cls: 0.0387 detection_loss_reg: 0.4028 caption_loss_cls: 2.0862 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.6684 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:07:41 - mmengine - INFO - Iter(train) [408300/480000] base_lr: 1.2703e-05 lr: 4.7747e-06 eta: 1 day, 21:24:25 time: 2.3791 data_time: 0.1513 memory: 25730 grad_norm: 1.8315 loss: 1.1924 grounding_loss_reg: 2.4699 detection_loss_cls: 0.0388 detection_loss_reg: 0.4032 caption_loss_cls: 2.0863 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:11:17 - mmengine - INFO - Iter(train) [408400/480000] base_lr: 1.2673e-05 lr: 4.7671e-06 eta: 1 day, 21:19:21 time: 2.3756 data_time: 0.1513 memory: 25730 grad_norm: 1.8307 loss: 1.1948 grounding_loss_reg: 2.4669 detection_loss_cls: 0.0388 detection_loss_reg: 0.4032 caption_loss_cls: 2.0890 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6657 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:15:04 - mmengine - INFO - Iter(train) [408500/480000] base_lr: 1.2644e-05 lr: 4.7596e-06 eta: 1 day, 21:15:27 time: 2.3721 data_time: 0.1512 memory: 25730 grad_norm: 1.8209 loss: 1.1865 grounding_loss_reg: 2.4680 detection_loss_cls: 0.0389 detection_loss_reg: 0.4029 caption_loss_cls: 2.0876 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6649 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:15:04 - mmengine - INFO - Saving checkpoint at 408500 iterations 2023/11/03 22:19:46 - mmengine - INFO - Iter(train) [408600/480000] base_lr: 1.2615e-05 lr: 4.7520e-06 eta: 1 day, 21:17:15 time: 2.3786 data_time: 0.1516 memory: 26569 grad_norm: 1.8317 loss: 1.1864 grounding_loss_reg: 2.4671 detection_loss_cls: 0.0388 detection_loss_reg: 0.4035 caption_loss_cls: 2.0865 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6641 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:23:29 - mmengine - INFO - Iter(train) [408700/480000] base_lr: 1.2586e-05 lr: 4.7444e-06 eta: 1 day, 21:12:48 time: 2.3811 data_time: 0.1516 memory: 26569 grad_norm: 1.8263 loss: 1.1833 grounding_loss_reg: 2.4675 detection_loss_cls: 0.0388 detection_loss_reg: 0.4031 caption_loss_cls: 2.0846 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6642 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:27:33 - mmengine - INFO - Iter(train) [408800/480000] base_lr: 1.2557e-05 lr: 4.7369e-06 eta: 1 day, 21:10:35 time: 2.3879 data_time: 0.1516 memory: 26569 grad_norm: 1.8131 loss: 1.1768 grounding_loss_reg: 2.4678 detection_loss_cls: 0.0389 detection_loss_reg: 0.4035 caption_loss_cls: 2.0841 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6627 semantic_segmentation_loss_cls: 0.0095 2023/11/03 22:31:05 - mmengine - INFO - Iter(train) [408900/480000] base_lr: 1.2527e-05 lr: 4.7293e-06 eta: 1 day, 21:05:12 time: 2.3839 data_time: 0.1516 memory: 25730 grad_norm: 1.8135 loss: 1.1747 grounding_loss_reg: 2.4661 detection_loss_cls: 0.0388 detection_loss_reg: 0.4031 caption_loss_cls: 2.0833 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6617 semantic_segmentation_loss_cls: 0.0095 2023/11/03 22:34:36 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 22:34:36 - mmengine - INFO - Iter(train) [409000/480000] base_lr: 1.2498e-05 lr: 4.7218e-06 eta: 1 day, 20:59:39 time: 2.3822 data_time: 0.1516 memory: 26569 grad_norm: 1.8260 loss: 1.1741 grounding_loss_reg: 2.4643 detection_loss_cls: 0.0389 detection_loss_reg: 0.4034 caption_loss_cls: 2.0826 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6620 semantic_segmentation_loss_cls: 0.0095 2023/11/03 22:34:36 - mmengine - INFO - Saving checkpoint at 409000 iterations 2023/11/03 22:39:34 - mmengine - INFO - Iter(train) [409100/480000] base_lr: 1.2469e-05 lr: 4.7143e-06 eta: 1 day, 21:02:42 time: 2.3761 data_time: 0.1516 memory: 26569 grad_norm: 1.8256 loss: 1.1693 grounding_loss_reg: 2.4646 detection_loss_cls: 0.0389 detection_loss_reg: 0.4036 caption_loss_cls: 2.0762 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6636 semantic_segmentation_loss_cls: 0.0095 2023/11/03 22:42:56 - mmengine - INFO - Iter(train) [409200/480000] base_lr: 1.2440e-05 lr: 4.7068e-06 eta: 1 day, 20:56:12 time: 2.3715 data_time: 0.1516 memory: 25730 grad_norm: 1.8256 loss: 1.1703 grounding_loss_reg: 2.4641 detection_loss_cls: 0.0387 detection_loss_reg: 0.4029 caption_loss_cls: 2.0776 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.6625 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:46:51 - mmengine - INFO - Iter(train) [409300/480000] base_lr: 1.2411e-05 lr: 4.6993e-06 eta: 1 day, 20:53:06 time: 2.3735 data_time: 0.1516 memory: 26569 grad_norm: 1.8338 loss: 1.1706 grounding_loss_reg: 2.4614 detection_loss_cls: 0.0387 detection_loss_reg: 0.4024 caption_loss_cls: 2.0768 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6627 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:50:46 - mmengine - INFO - Iter(train) [409400/480000] base_lr: 1.2383e-05 lr: 4.6918e-06 eta: 1 day, 20:49:53 time: 2.3774 data_time: 0.1516 memory: 25730 grad_norm: 1.8284 loss: 1.1718 grounding_loss_reg: 2.4617 detection_loss_cls: 0.0386 detection_loss_reg: 0.4016 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6620 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:54:35 - mmengine - INFO - Iter(train) [409500/480000] base_lr: 1.2354e-05 lr: 4.6843e-06 eta: 1 day, 20:46:05 time: 2.3830 data_time: 0.1516 memory: 25730 grad_norm: 1.8256 loss: 1.1710 grounding_loss_reg: 2.4602 detection_loss_cls: 0.0386 detection_loss_reg: 0.4005 caption_loss_cls: 2.0751 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6618 semantic_segmentation_loss_cls: 0.0094 2023/11/03 22:54:35 - mmengine - INFO - Saving checkpoint at 409500 iterations 2023/11/03 22:59:30 - mmengine - INFO - Iter(train) [409600/480000] base_lr: 1.2325e-05 lr: 4.6768e-06 eta: 1 day, 20:48:24 time: 2.3833 data_time: 0.1523 memory: 25730 grad_norm: 1.8373 loss: 1.1785 grounding_loss_reg: 2.4608 detection_loss_cls: 0.0386 detection_loss_reg: 0.4000 caption_loss_cls: 2.0752 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.6624 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:03:03 - mmengine - INFO - Iter(train) [409700/480000] base_lr: 1.2296e-05 lr: 4.6693e-06 eta: 1 day, 20:43:05 time: 2.3835 data_time: 0.1523 memory: 26569 grad_norm: 1.8372 loss: 1.1786 grounding_loss_reg: 2.4605 detection_loss_cls: 0.0386 detection_loss_reg: 0.4005 caption_loss_cls: 2.0755 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6630 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:07:22 - mmengine - INFO - Iter(train) [409800/480000] base_lr: 1.2267e-05 lr: 4.6619e-06 eta: 1 day, 20:42:00 time: 2.3948 data_time: 0.1524 memory: 26569 grad_norm: 1.8115 loss: 1.1650 grounding_loss_reg: 2.4578 detection_loss_cls: 0.0385 detection_loss_reg: 0.4010 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6623 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:11:14 - mmengine - INFO - Iter(train) [409900/480000] base_lr: 1.2239e-05 lr: 4.6544e-06 eta: 1 day, 20:38:26 time: 2.3969 data_time: 0.1525 memory: 26569 grad_norm: 1.8090 loss: 1.1664 grounding_loss_reg: 2.4567 detection_loss_cls: 0.0385 detection_loss_reg: 0.4004 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6625 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:14:27 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/03 23:14:27 - mmengine - INFO - Iter(train) [410000/480000] base_lr: 1.2210e-05 lr: 4.6470e-06 eta: 1 day, 20:31:23 time: 2.3877 data_time: 0.1524 memory: 26569 grad_norm: 1.8092 loss: 1.1690 grounding_loss_reg: 2.4591 detection_loss_cls: 0.0384 detection_loss_reg: 0.3996 caption_loss_cls: 2.0827 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.6623 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:14:27 - mmengine - INFO - Saving checkpoint at 410000 iterations 2023/11/03 23:20:20 - mmengine - INFO - Evaluating bbox... 2023/11/03 23:21:26 - mmengine - INFO - bbox_mAP_copypaste: 0.530 0.708 0.581 0.378 0.577 0.680 2023/11/03 23:21:26 - mmengine - INFO - Evaluating segm... 2023/11/03 23:22:40 - mmengine - INFO - segm_mAP_copypaste: 0.354 0.620 0.356 0.218 0.403 0.542 2023/11/03 23:24:03 - mmengine - INFO - Evaluating bbox... 2023/11/03 23:25:08 - mmengine - INFO - bbox_mAP_copypaste: 0.531 0.709 0.580 0.377 0.579 0.681 2023/11/03 23:28:21 - mmengine - INFO - per class results: 2023/11/03 23:28:21 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.65 | 89.11 | | building | 82.94 | 92.48 | | sky | 93.46 | 97.74 | | floor | 83.29 | 90.61 | | tree | 74.07 | 88.16 | | ceiling | 84.43 | 94.88 | | road | 85.25 | 89.86 | | bed | 90.12 | 95.96 | | windowpane | 63.54 | 80.57 | | grass | 69.57 | 84.16 | | cabinet | 63.09 | 75.71 | | sidewalk | 68.17 | 81.51 | | person | 81.96 | 91.45 | | earth | 45.66 | 58.89 | | door | 54.2 | 67.76 | | table | 65.83 | 80.21 | | mountain | 62.69 | 78.57 | | plant | 54.4 | 62.94 | | curtain | 74.88 | 85.76 | | chair | 60.76 | 74.77 | | car | 83.57 | 92.93 | | water | 62.45 | 77.1 | | painting | 71.53 | 86.72 | | sofa | 74.2 | 85.22 | | shelf | 47.11 | 67.3 | | house | 41.24 | 58.55 | | sea | 67.14 | 88.49 | | mirror | 71.25 | 80.08 | | rug | 68.86 | 79.03 | | field | 30.91 | 44.07 | | armchair | 52.57 | 69.63 | | seat | 67.24 | 86.53 | | fence | 43.61 | 54.63 | | desk | 54.81 | 71.65 | | rock | 48.33 | 59.79 | | wardrobe | 54.67 | 73.66 | | lamp | 62.08 | 73.64 | | bathtub | 86.04 | 89.35 | | railing | 33.65 | 45.93 | | cushion | 63.22 | 78.27 | | base | 27.09 | 41.47 | | box | 33.26 | 41.3 | | column | 48.22 | 61.68 | | signboard | 37.95 | 51.24 | | chest of drawers | 42.2 | 52.95 | | counter | 21.12 | 25.5 | | sand | 62.36 | 80.42 | | sink | 77.08 | 85.03 | | skyscraper | 49.54 | 57.45 | | fireplace | 73.17 | 86.91 | | refrigerator | 78.54 | 88.91 | | grandstand | 47.41 | 78.99 | | path | 27.22 | 42.55 | | stairs | 34.4 | 44.17 | | runway | 74.35 | 94.77 | | case | 49.41 | 60.09 | | pool table | 91.04 | 95.54 | | pillow | 56.08 | 65.38 | | screen door | 72.41 | 75.26 | | stairway | 30.91 | 38.67 | | river | 15.99 | 23.88 | | bridge | 51.96 | 65.2 | | bookcase | 39.93 | 58.19 | | blind | 38.35 | 40.57 | | coffee table | 63.65 | 78.02 | | toilet | 87.76 | 92.19 | | flower | 41.39 | 58.04 | | book | 46.94 | 70.79 | | hill | 8.4 | 16.62 | | bench | 57.31 | 71.77 | | countertop | 62.85 | 77.35 | | stove | 75.83 | 84.71 | | palm | 49.45 | 69.05 | | kitchen island | 39.88 | 81.44 | | computer | 73.25 | 87.48 | | swivel chair | 45.4 | 58.6 | | boat | 64.4 | 76.91 | | bar | 41.1 | 56.65 | | arcade machine | 72.64 | 77.76 | | hovel | 46.71 | 60.66 | | bus | 92.87 | 95.96 | | towel | 66.71 | 83.44 | | light | 47.98 | 54.02 | | truck | 43.15 | 60.73 | | tower | 46.3 | 75.01 | | chandelier | 62.82 | 77.62 | | awning | 28.74 | 35.49 | | streetlight | 33.83 | 43.2 | | booth | 36.55 | 43.12 | | television receiver | 69.4 | 84.03 | | airplane | 62.1 | 68.99 | | dirt track | 3.12 | 17.12 | | apparel | 40.66 | 60.95 | | pole | 27.93 | 40.3 | | land | 0.57 | 0.7 | | bannister | 12.49 | 17.26 | | escalator | 26.16 | 28.85 | | ottoman | 51.04 | 71.64 | | bottle | 27.07 | 33.17 | | buffet | 44.39 | 51.4 | | poster | 34.56 | 42.54 | | stage | 12.43 | 22.39 | | van | 42.35 | 51.08 | | ship | 76.51 | 86.91 | | fountain | 29.58 | 30.48 | | conveyer belt | 73.24 | 88.99 | | canopy | 28.22 | 33.75 | | washer | 72.12 | 72.97 | | plaything | 24.79 | 31.02 | | swimming pool | 82.31 | 85.32 | | stool | 49.7 | 64.68 | | barrel | 52.02 | 64.99 | | basket | 29.45 | 45.48 | | waterfall | 62.99 | 72.16 | | tent | 84.88 | 97.37 | | bag | 23.03 | 26.88 | | minibike | 73.68 | 86.88 | | cradle | 79.22 | 93.0 | | oven | 48.33 | 60.5 | | ball | 51.41 | 67.32 | | food | 51.99 | 56.82 | | step | 10.4 | 13.3 | | tank | 47.0 | 60.53 | | trade name | 27.67 | 31.74 | | microwave | 87.02 | 94.4 | | pot | 57.47 | 66.54 | | animal | 66.13 | 70.27 | | bicycle | 61.44 | 79.58 | | lake | 56.15 | 62.25 | | dishwasher | 72.46 | 76.59 | | screen | 68.77 | 85.6 | | blanket | 15.98 | 18.65 | | sculpture | 73.7 | 81.79 | | hood | 67.33 | 81.27 | | sconce | 45.98 | 59.97 | | vase | 44.43 | 60.16 | | traffic light | 37.89 | 47.38 | | tray | 15.99 | 28.66 | | ashcan | 40.69 | 56.94 | | fan | 60.38 | 72.35 | | pier | 34.89 | 37.72 | | crt screen | 6.09 | 7.94 | | plate | 57.75 | 74.81 | | monitor | 46.65 | 63.15 | | bulletin board | 46.98 | 56.62 | | shower | 5.06 | 6.94 | | radiator | 60.14 | 69.49 | | glass | 19.37 | 21.05 | | clock | 29.1 | 33.04 | | flag | 67.61 | 75.94 | +---------------------+-------+-------+ 2023/11/03 23:28:44 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:27 time: 1.1605 data_time: 0.0112 memory: 27852 2023/11/03 23:29:06 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5310 coco/bbox_mAP_50: 0.7090 coco/bbox_mAP_75: 0.5800 coco/bbox_mAP_s: 0.3770 coco/bbox_mAP_m: 0.5790 coco/bbox_mAP_l: 0.6810 coco/segm_mAP: 0.3540 coco/segm_mAP_50: 0.6200 coco/segm_mAP_75: 0.3560 coco/segm_mAP_s: 0.2180 coco/segm_mAP_m: 0.4030 coco/segm_mAP_l: 0.5420 Bleu_1: 0.7691 Bleu_2: 0.6074 Bleu_3: 0.4675 Bleu_4: 0.3566 METEOR: 0.2892 ROUGE_L: 0.5765 CIDEr: 1.2009 SPICE: 0.2168 aAcc: 84.4200 mIoU: 52.7700 mAcc: 64.1100 visual-grounding/miou: 0.8166 visual-grounding/acc: 0.8837 data_time: 0.0017 time: 0.2309 2023/11/03 23:32:58 - mmengine - INFO - Iter(train) [410100/480000] base_lr: 1.2181e-05 lr: 4.6396e-06 eta: 1 day, 20:28:16 time: 2.3704 data_time: 0.1368 memory: 26570 grad_norm: 1.8045 loss: 1.1712 grounding_loss_reg: 2.4585 detection_loss_cls: 0.0384 detection_loss_reg: 0.3997 caption_loss_cls: 2.0828 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6619 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:36:28 - mmengine - INFO - Iter(train) [410200/480000] base_lr: 1.2153e-05 lr: 4.6322e-06 eta: 1 day, 20:22:49 time: 2.3657 data_time: 0.1367 memory: 25730 grad_norm: 1.8012 loss: 1.1753 grounding_loss_reg: 2.4584 detection_loss_cls: 0.0383 detection_loss_reg: 0.3987 caption_loss_cls: 2.0854 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6627 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:39:55 - mmengine - INFO - Iter(train) [410300/480000] base_lr: 1.2124e-05 lr: 4.6248e-06 eta: 1 day, 20:17:04 time: 2.3580 data_time: 0.1366 memory: 26570 grad_norm: 1.8009 loss: 1.1771 grounding_loss_reg: 2.4583 detection_loss_cls: 0.0383 detection_loss_reg: 0.3992 caption_loss_cls: 2.0829 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6625 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:44:01 - mmengine - INFO - Iter(train) [410400/480000] base_lr: 1.2096e-05 lr: 4.6174e-06 eta: 1 day, 20:14:47 time: 2.3643 data_time: 0.1367 memory: 26570 grad_norm: 1.7938 loss: 1.1750 grounding_loss_reg: 2.4554 detection_loss_cls: 0.0383 detection_loss_reg: 0.3995 caption_loss_cls: 2.0803 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6624 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:47:50 - mmengine - INFO - Iter(train) [410500/480000] base_lr: 1.2067e-05 lr: 4.6100e-06 eta: 1 day, 20:10:59 time: 2.3656 data_time: 0.1368 memory: 26570 grad_norm: 1.7919 loss: 1.1756 grounding_loss_reg: 2.4528 detection_loss_cls: 0.0384 detection_loss_reg: 0.3995 caption_loss_cls: 2.0814 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6629 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:47:50 - mmengine - INFO - Saving checkpoint at 410500 iterations 2023/11/03 23:52:36 - mmengine - INFO - Iter(train) [410600/480000] base_lr: 1.2039e-05 lr: 4.6026e-06 eta: 1 day, 20:11:57 time: 2.3586 data_time: 0.1370 memory: 25730 grad_norm: 1.7898 loss: 1.1722 grounding_loss_reg: 2.4506 detection_loss_cls: 0.0384 detection_loss_reg: 0.3995 caption_loss_cls: 2.0820 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6631 semantic_segmentation_loss_cls: 0.0094 2023/11/03 23:56:14 - mmengine - INFO - Iter(train) [410700/480000] base_lr: 1.2010e-05 lr: 4.5952e-06 eta: 1 day, 20:07:11 time: 2.3587 data_time: 0.1370 memory: 26570 grad_norm: 1.7861 loss: 1.1743 grounding_loss_reg: 2.4515 detection_loss_cls: 0.0384 detection_loss_reg: 0.3993 caption_loss_cls: 2.0825 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6631 semantic_segmentation_loss_cls: 0.0094 2023/11/04 00:00:12 - mmengine - INFO - Iter(train) [410800/480000] base_lr: 1.1982e-05 lr: 4.5879e-06 eta: 1 day, 20:04:08 time: 2.3542 data_time: 0.1370 memory: 25730 grad_norm: 1.7832 loss: 1.1728 grounding_loss_reg: 2.4541 detection_loss_cls: 0.0385 detection_loss_reg: 0.3993 caption_loss_cls: 2.0821 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6620 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:04:15 - mmengine - INFO - Iter(train) [410900/480000] base_lr: 1.1953e-05 lr: 4.5805e-06 eta: 1 day, 20:01:26 time: 2.3611 data_time: 0.1370 memory: 25730 grad_norm: 1.7838 loss: 1.1749 grounding_loss_reg: 2.4563 detection_loss_cls: 0.0379 detection_loss_reg: 0.3970 caption_loss_cls: 2.0806 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6609 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:08:53 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 00:08:53 - mmengine - INFO - Iter(train) [411000/480000] base_lr: 1.1925e-05 lr: 4.5732e-06 eta: 1 day, 20:01:37 time: 2.3747 data_time: 0.1371 memory: 26570 grad_norm: 1.7794 loss: 1.1719 grounding_loss_reg: 2.4552 detection_loss_cls: 0.0380 detection_loss_reg: 0.3970 caption_loss_cls: 2.0785 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6608 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:08:53 - mmengine - INFO - Saving checkpoint at 411000 iterations 2023/11/04 00:13:53 - mmengine - INFO - Iter(train) [411100/480000] base_lr: 1.1897e-05 lr: 4.5659e-06 eta: 1 day, 20:03:27 time: 2.3688 data_time: 0.1374 memory: 26570 grad_norm: 1.7810 loss: 1.1748 grounding_loss_reg: 2.4573 detection_loss_cls: 0.0380 detection_loss_reg: 0.3974 caption_loss_cls: 2.0783 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6597 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:17:52 - mmengine - INFO - Iter(train) [411200/480000] base_lr: 1.1869e-05 lr: 4.5586e-06 eta: 1 day, 20:00:19 time: 2.3676 data_time: 0.1373 memory: 25730 grad_norm: 1.7899 loss: 1.1765 grounding_loss_reg: 2.4561 detection_loss_cls: 0.0379 detection_loss_reg: 0.3972 caption_loss_cls: 2.0809 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2573 instance_segmentation_loss_poly: 0.6587 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:21:43 - mmengine - INFO - Iter(train) [411300/480000] base_lr: 1.1841e-05 lr: 4.5513e-06 eta: 1 day, 19:56:34 time: 2.3680 data_time: 0.1373 memory: 25730 grad_norm: 1.7946 loss: 1.1770 grounding_loss_reg: 2.4570 detection_loss_cls: 0.0380 detection_loss_reg: 0.3981 caption_loss_cls: 2.0776 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.6582 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:25:32 - mmengine - INFO - Iter(train) [411400/480000] base_lr: 1.1812e-05 lr: 4.5440e-06 eta: 1 day, 19:52:39 time: 2.3776 data_time: 0.1374 memory: 25730 grad_norm: 1.7773 loss: 1.1653 grounding_loss_reg: 2.4563 detection_loss_cls: 0.0380 detection_loss_reg: 0.3981 caption_loss_cls: 2.0769 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2567 instance_segmentation_loss_poly: 0.6577 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:29:29 - mmengine - INFO - Iter(train) [411500/480000] base_lr: 1.1784e-05 lr: 4.5367e-06 eta: 1 day, 19:49:17 time: 2.3784 data_time: 0.1374 memory: 26570 grad_norm: 1.7776 loss: 1.1615 grounding_loss_reg: 2.4543 detection_loss_cls: 0.0382 detection_loss_reg: 0.3994 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.6585 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:29:29 - mmengine - INFO - Saving checkpoint at 411500 iterations 2023/11/04 00:34:51 - mmengine - INFO - Iter(train) [411600/480000] base_lr: 1.1756e-05 lr: 4.5294e-06 eta: 1 day, 19:52:36 time: 2.3902 data_time: 0.1382 memory: 25730 grad_norm: 1.7694 loss: 1.1561 grounding_loss_reg: 2.4544 detection_loss_cls: 0.0382 detection_loss_reg: 0.3991 caption_loss_cls: 2.0797 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.6574 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:38:35 - mmengine - INFO - Iter(train) [411700/480000] base_lr: 1.1728e-05 lr: 4.5221e-06 eta: 1 day, 19:48:15 time: 2.3900 data_time: 0.1383 memory: 25730 grad_norm: 1.7762 loss: 1.1610 grounding_loss_reg: 2.4513 detection_loss_cls: 0.0382 detection_loss_reg: 0.3985 caption_loss_cls: 2.0796 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2560 instance_segmentation_loss_poly: 0.6568 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:42:26 - mmengine - INFO - Iter(train) [411800/480000] base_lr: 1.1700e-05 lr: 4.5149e-06 eta: 1 day, 19:44:25 time: 2.3918 data_time: 0.1382 memory: 26570 grad_norm: 1.7671 loss: 1.1585 grounding_loss_reg: 2.4501 detection_loss_cls: 0.0382 detection_loss_reg: 0.3992 caption_loss_cls: 2.0792 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.6558 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:46:19 - mmengine - INFO - Iter(train) [411900/480000] base_lr: 1.1672e-05 lr: 4.5076e-06 eta: 1 day, 19:40:40 time: 2.3936 data_time: 0.1383 memory: 26570 grad_norm: 1.7710 loss: 1.1655 grounding_loss_reg: 2.4487 detection_loss_cls: 0.0382 detection_loss_reg: 0.3986 caption_loss_cls: 2.0805 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2559 instance_segmentation_loss_poly: 0.6576 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:50:03 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 00:50:03 - mmengine - INFO - Iter(train) [412000/480000] base_lr: 1.1644e-05 lr: 4.5004e-06 eta: 1 day, 19:36:18 time: 2.3981 data_time: 0.1384 memory: 26570 grad_norm: 1.7768 loss: 1.1699 grounding_loss_reg: 2.4481 detection_loss_cls: 0.0380 detection_loss_reg: 0.3979 caption_loss_cls: 2.0809 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2559 instance_segmentation_loss_poly: 0.6591 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:50:03 - mmengine - INFO - Saving checkpoint at 412000 iterations 2023/11/04 00:55:00 - mmengine - INFO - Iter(train) [412100/480000] base_lr: 1.1616e-05 lr: 4.4932e-06 eta: 1 day, 19:37:27 time: 2.4008 data_time: 0.1385 memory: 25730 grad_norm: 1.7740 loss: 1.1632 grounding_loss_reg: 2.4482 detection_loss_cls: 0.0380 detection_loss_reg: 0.3978 caption_loss_cls: 2.0814 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2562 instance_segmentation_loss_poly: 0.6596 semantic_segmentation_loss_cls: 0.0095 2023/11/04 00:58:56 - mmengine - INFO - Iter(train) [412200/480000] base_lr: 1.1589e-05 lr: 4.4859e-06 eta: 1 day, 19:33:55 time: 2.4029 data_time: 0.1385 memory: 26570 grad_norm: 1.7626 loss: 1.1597 grounding_loss_reg: 2.4474 detection_loss_cls: 0.0385 detection_loss_reg: 0.4003 caption_loss_cls: 2.0808 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2569 instance_segmentation_loss_poly: 0.6606 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:02:24 - mmengine - INFO - Iter(train) [412300/480000] base_lr: 1.1561e-05 lr: 4.4787e-06 eta: 1 day, 19:28:20 time: 2.4016 data_time: 0.1385 memory: 25730 grad_norm: 1.7642 loss: 1.1634 grounding_loss_reg: 2.4467 detection_loss_cls: 0.0385 detection_loss_reg: 0.4002 caption_loss_cls: 2.0783 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2566 instance_segmentation_loss_poly: 0.6603 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:06:27 - mmengine - INFO - Iter(train) [412400/480000] base_lr: 1.1533e-05 lr: 4.4715e-06 eta: 1 day, 19:25:21 time: 2.4084 data_time: 0.1386 memory: 25730 grad_norm: 1.7618 loss: 1.1588 grounding_loss_reg: 2.4449 detection_loss_cls: 0.0384 detection_loss_reg: 0.3998 caption_loss_cls: 2.0762 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.6592 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:10:17 - mmengine - INFO - Iter(train) [412500/480000] base_lr: 1.1505e-05 lr: 4.4643e-06 eta: 1 day, 19:21:24 time: 2.4091 data_time: 0.1386 memory: 26570 grad_norm: 1.7740 loss: 1.1655 grounding_loss_reg: 2.4437 detection_loss_cls: 0.0385 detection_loss_reg: 0.4001 caption_loss_cls: 2.0760 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2562 instance_segmentation_loss_poly: 0.6587 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:10:17 - mmengine - INFO - Saving checkpoint at 412500 iterations 2023/11/04 01:15:23 - mmengine - INFO - Iter(train) [412600/480000] base_lr: 1.1478e-05 lr: 4.4572e-06 eta: 1 day, 19:22:53 time: 2.4149 data_time: 0.1394 memory: 26570 grad_norm: 1.7575 loss: 1.1626 grounding_loss_reg: 2.4432 detection_loss_cls: 0.0387 detection_loss_reg: 0.4014 caption_loss_cls: 2.0739 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2570 instance_segmentation_loss_poly: 0.6605 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:18:55 - mmengine - INFO - Iter(train) [412700/480000] base_lr: 1.1450e-05 lr: 4.4500e-06 eta: 1 day, 19:17:40 time: 2.4125 data_time: 0.1395 memory: 26570 grad_norm: 1.7626 loss: 1.1641 grounding_loss_reg: 2.4428 detection_loss_cls: 0.0387 detection_loss_reg: 0.4017 caption_loss_cls: 2.0717 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2569 instance_segmentation_loss_poly: 0.6600 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:22:46 - mmengine - INFO - Iter(train) [412800/480000] base_lr: 1.1422e-05 lr: 4.4428e-06 eta: 1 day, 19:13:44 time: 2.4091 data_time: 0.1395 memory: 26570 grad_norm: 1.7655 loss: 1.1660 grounding_loss_reg: 2.4436 detection_loss_cls: 0.0387 detection_loss_reg: 0.4017 caption_loss_cls: 2.0709 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.6593 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:26:42 - mmengine - INFO - Iter(train) [412900/480000] base_lr: 1.1395e-05 lr: 4.4357e-06 eta: 1 day, 19:10:10 time: 2.4150 data_time: 0.1396 memory: 26570 grad_norm: 1.7663 loss: 1.1718 grounding_loss_reg: 2.4443 detection_loss_cls: 0.0387 detection_loss_reg: 0.4022 caption_loss_cls: 2.0726 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2572 instance_segmentation_loss_poly: 0.6603 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:30:35 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 01:30:35 - mmengine - INFO - Iter(train) [413000/480000] base_lr: 1.1367e-05 lr: 4.4286e-06 eta: 1 day, 19:06:26 time: 2.4207 data_time: 0.1396 memory: 26570 grad_norm: 1.7515 loss: 1.1667 grounding_loss_reg: 2.4425 detection_loss_cls: 0.0387 detection_loss_reg: 0.4018 caption_loss_cls: 2.0731 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2575 instance_segmentation_loss_poly: 0.6605 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:30:35 - mmengine - INFO - Saving checkpoint at 413000 iterations 2023/11/04 01:35:42 - mmengine - INFO - Iter(train) [413100/480000] base_lr: 1.1340e-05 lr: 4.4214e-06 eta: 1 day, 19:07:44 time: 2.4226 data_time: 0.1400 memory: 25730 grad_norm: 1.7615 loss: 1.1704 grounding_loss_reg: 2.4421 detection_loss_cls: 0.0385 detection_loss_reg: 0.4001 caption_loss_cls: 2.0702 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.6604 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:39:20 - mmengine - INFO - Iter(train) [413200/480000] base_lr: 1.1312e-05 lr: 4.4143e-06 eta: 1 day, 19:02:56 time: 2.4270 data_time: 0.1401 memory: 26570 grad_norm: 1.7674 loss: 1.1761 grounding_loss_reg: 2.4402 detection_loss_cls: 0.0385 detection_loss_reg: 0.3997 caption_loss_cls: 2.0699 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6624 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:42:48 - mmengine - INFO - Iter(train) [413300/480000] base_lr: 1.1285e-05 lr: 4.4072e-06 eta: 1 day, 18:57:24 time: 2.4199 data_time: 0.1400 memory: 26570 grad_norm: 1.7683 loss: 1.1744 grounding_loss_reg: 2.4363 detection_loss_cls: 0.0384 detection_loss_reg: 0.3991 caption_loss_cls: 2.0680 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6627 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:46:34 - mmengine - INFO - Iter(train) [413400/480000] base_lr: 1.1258e-05 lr: 4.4001e-06 eta: 1 day, 18:53:10 time: 2.4178 data_time: 0.1401 memory: 25730 grad_norm: 1.7814 loss: 1.1838 grounding_loss_reg: 2.4369 detection_loss_cls: 0.0384 detection_loss_reg: 0.3990 caption_loss_cls: 2.0711 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6647 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:50:33 - mmengine - INFO - Iter(train) [413500/480000] base_lr: 1.1230e-05 lr: 4.3930e-06 eta: 1 day, 18:49:46 time: 2.4203 data_time: 0.1401 memory: 25730 grad_norm: 1.7832 loss: 1.1859 grounding_loss_reg: 2.4380 detection_loss_cls: 0.0384 detection_loss_reg: 0.3989 caption_loss_cls: 2.0711 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6631 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:50:33 - mmengine - INFO - Saving checkpoint at 413500 iterations 2023/11/04 01:55:49 - mmengine - INFO - Iter(train) [413600/480000] base_lr: 1.1203e-05 lr: 4.3859e-06 eta: 1 day, 18:51:30 time: 2.4257 data_time: 0.1399 memory: 26570 grad_norm: 1.7689 loss: 1.1808 grounding_loss_reg: 2.4385 detection_loss_cls: 0.0384 detection_loss_reg: 0.3991 caption_loss_cls: 2.0684 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6619 semantic_segmentation_loss_cls: 0.0095 2023/11/04 01:59:04 - mmengine - INFO - Iter(train) [413700/480000] base_lr: 1.1176e-05 lr: 4.3789e-06 eta: 1 day, 18:45:08 time: 2.4212 data_time: 0.1399 memory: 25730 grad_norm: 1.7717 loss: 1.1810 grounding_loss_reg: 2.4382 detection_loss_cls: 0.0385 detection_loss_reg: 0.3992 caption_loss_cls: 2.0666 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.6617 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:02:53 - mmengine - INFO - Iter(train) [413800/480000] base_lr: 1.1148e-05 lr: 4.3718e-06 eta: 1 day, 18:41:03 time: 2.4136 data_time: 0.1399 memory: 25730 grad_norm: 1.7948 loss: 1.1902 grounding_loss_reg: 2.4390 detection_loss_cls: 0.0386 detection_loss_reg: 0.4003 caption_loss_cls: 2.0667 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6624 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:06:04 - mmengine - INFO - Iter(train) [413900/480000] base_lr: 1.1121e-05 lr: 4.3648e-06 eta: 1 day, 18:34:32 time: 2.4035 data_time: 0.1398 memory: 26570 grad_norm: 1.8062 loss: 1.1963 grounding_loss_reg: 2.4394 detection_loss_cls: 0.0386 detection_loss_reg: 0.4007 caption_loss_cls: 2.0686 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.6627 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:09:41 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 02:09:41 - mmengine - INFO - Iter(train) [414000/480000] base_lr: 1.1094e-05 lr: 4.3577e-06 eta: 1 day, 18:29:40 time: 2.4093 data_time: 0.1398 memory: 26570 grad_norm: 1.8053 loss: 1.1963 grounding_loss_reg: 2.4395 detection_loss_cls: 0.0388 detection_loss_reg: 0.4015 caption_loss_cls: 2.0661 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6637 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:09:41 - mmengine - INFO - Saving checkpoint at 414000 iterations 2023/11/04 02:14:29 - mmengine - INFO - Iter(train) [414100/480000] base_lr: 1.1067e-05 lr: 4.3507e-06 eta: 1 day, 18:29:24 time: 2.4220 data_time: 0.1564 memory: 25730 grad_norm: 1.8139 loss: 1.1981 grounding_loss_reg: 2.4408 detection_loss_cls: 0.0389 detection_loss_reg: 0.4019 caption_loss_cls: 2.0643 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6636 semantic_segmentation_loss_cls: 0.0094 2023/11/04 02:17:59 - mmengine - INFO - Iter(train) [414200/480000] base_lr: 1.1040e-05 lr: 4.3437e-06 eta: 1 day, 18:24:07 time: 2.4219 data_time: 0.1564 memory: 25730 grad_norm: 1.8172 loss: 1.1940 grounding_loss_reg: 2.4396 detection_loss_cls: 0.0389 detection_loss_reg: 0.4012 caption_loss_cls: 2.0640 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6644 semantic_segmentation_loss_cls: 0.0094 2023/11/04 02:21:48 - mmengine - INFO - Iter(train) [414300/480000] base_lr: 1.1013e-05 lr: 4.3367e-06 eta: 1 day, 18:20:06 time: 2.4276 data_time: 0.1565 memory: 26570 grad_norm: 1.8165 loss: 1.1905 grounding_loss_reg: 2.4372 detection_loss_cls: 0.0388 detection_loss_reg: 0.4010 caption_loss_cls: 2.0619 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6646 semantic_segmentation_loss_cls: 0.0094 2023/11/04 02:25:14 - mmengine - INFO - Iter(train) [414400/480000] base_lr: 1.0986e-05 lr: 4.3297e-06 eta: 1 day, 18:14:35 time: 2.4174 data_time: 0.1563 memory: 25730 grad_norm: 1.8204 loss: 1.1970 grounding_loss_reg: 2.4391 detection_loss_cls: 0.0388 detection_loss_reg: 0.4006 caption_loss_cls: 2.0601 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6639 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:28:51 - mmengine - INFO - Iter(train) [414500/480000] base_lr: 1.0959e-05 lr: 4.3227e-06 eta: 1 day, 18:09:48 time: 2.4144 data_time: 0.1563 memory: 26570 grad_norm: 1.8161 loss: 1.1980 grounding_loss_reg: 2.4392 detection_loss_cls: 0.0388 detection_loss_reg: 0.4013 caption_loss_cls: 2.0605 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6644 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:28:51 - mmengine - INFO - Saving checkpoint at 414500 iterations 2023/11/04 02:33:40 - mmengine - INFO - Iter(train) [414600/480000] base_lr: 1.0932e-05 lr: 4.3157e-06 eta: 1 day, 18:09:28 time: 2.4153 data_time: 0.1555 memory: 25730 grad_norm: 1.8227 loss: 1.1998 grounding_loss_reg: 2.4374 detection_loss_cls: 0.0389 detection_loss_reg: 0.4015 caption_loss_cls: 2.0597 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6652 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:37:51 - mmengine - INFO - Iter(train) [414700/480000] base_lr: 1.0905e-05 lr: 4.3087e-06 eta: 1 day, 18:06:45 time: 2.4235 data_time: 0.1555 memory: 26570 grad_norm: 1.8114 loss: 1.1941 grounding_loss_reg: 2.4356 detection_loss_cls: 0.0389 detection_loss_reg: 0.4019 caption_loss_cls: 2.0606 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6649 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:42:05 - mmengine - INFO - Iter(train) [414800/480000] base_lr: 1.0878e-05 lr: 4.3018e-06 eta: 1 day, 18:04:11 time: 2.4273 data_time: 0.1558 memory: 26570 grad_norm: 1.8217 loss: 1.1988 grounding_loss_reg: 2.4323 detection_loss_cls: 0.0389 detection_loss_reg: 0.4023 caption_loss_cls: 2.0625 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6662 semantic_segmentation_loss_cls: 0.0094 2023/11/04 02:45:20 - mmengine - INFO - Iter(train) [414900/480000] base_lr: 1.0852e-05 lr: 4.2948e-06 eta: 1 day, 17:58:05 time: 2.4155 data_time: 0.1557 memory: 25730 grad_norm: 1.8352 loss: 1.2024 grounding_loss_reg: 2.4286 detection_loss_cls: 0.0387 detection_loss_reg: 0.4014 caption_loss_cls: 2.0642 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6668 semantic_segmentation_loss_cls: 0.0095 2023/11/04 02:49:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 02:49:14 - mmengine - INFO - Iter(train) [415000/480000] base_lr: 1.0825e-05 lr: 4.2879e-06 eta: 1 day, 17:54:18 time: 2.4043 data_time: 0.1557 memory: 26570 grad_norm: 1.8296 loss: 1.2020 grounding_loss_reg: 2.4288 detection_loss_cls: 0.0385 detection_loss_reg: 0.4004 caption_loss_cls: 2.0632 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6672 semantic_segmentation_loss_cls: 0.0094 2023/11/04 02:49:14 - mmengine - INFO - Saving checkpoint at 415000 iterations 2023/11/04 02:54:04 - mmengine - INFO - Iter(train) [415100/480000] base_lr: 1.0798e-05 lr: 4.2810e-06 eta: 1 day, 17:53:55 time: 2.4022 data_time: 0.1553 memory: 25730 grad_norm: 1.8286 loss: 1.2011 grounding_loss_reg: 2.4293 detection_loss_cls: 0.0386 detection_loss_reg: 0.4007 caption_loss_cls: 2.0625 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0094 2023/11/04 02:57:22 - mmengine - INFO - Iter(train) [415200/480000] base_lr: 1.0771e-05 lr: 4.2741e-06 eta: 1 day, 17:48:00 time: 2.3919 data_time: 0.1552 memory: 25730 grad_norm: 1.8315 loss: 1.2008 grounding_loss_reg: 2.4281 detection_loss_cls: 0.0386 detection_loss_reg: 0.4009 caption_loss_cls: 2.0615 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6657 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:01:30 - mmengine - INFO - Iter(train) [415300/480000] base_lr: 1.0745e-05 lr: 4.2671e-06 eta: 1 day, 17:45:01 time: 2.3959 data_time: 0.1551 memory: 26570 grad_norm: 1.8328 loss: 1.1990 grounding_loss_reg: 2.4263 detection_loss_cls: 0.0386 detection_loss_reg: 0.4013 caption_loss_cls: 2.0622 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6656 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:05:26 - mmengine - INFO - Iter(train) [415400/480000] base_lr: 1.0718e-05 lr: 4.2602e-06 eta: 1 day, 17:41:23 time: 2.3977 data_time: 0.1551 memory: 26570 grad_norm: 1.8236 loss: 1.1942 grounding_loss_reg: 2.4261 detection_loss_cls: 0.0386 detection_loss_reg: 0.4017 caption_loss_cls: 2.0604 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6652 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:09:29 - mmengine - INFO - Iter(train) [415500/480000] base_lr: 1.0692e-05 lr: 4.2534e-06 eta: 1 day, 17:38:08 time: 2.3994 data_time: 0.1550 memory: 26570 grad_norm: 1.8284 loss: 1.1956 grounding_loss_reg: 2.4257 detection_loss_cls: 0.0387 detection_loss_reg: 0.4018 caption_loss_cls: 2.0575 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:09:29 - mmengine - INFO - Saving checkpoint at 415500 iterations 2023/11/04 03:14:12 - mmengine - INFO - Iter(train) [415600/480000] base_lr: 1.0665e-05 lr: 4.2465e-06 eta: 1 day, 17:37:10 time: 2.3895 data_time: 0.1546 memory: 26570 grad_norm: 1.8207 loss: 1.1888 grounding_loss_reg: 2.4266 detection_loss_cls: 0.0387 detection_loss_reg: 0.4025 caption_loss_cls: 2.0560 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.6668 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:17:59 - mmengine - INFO - Iter(train) [415700/480000] base_lr: 1.0639e-05 lr: 4.2396e-06 eta: 1 day, 17:32:56 time: 2.3900 data_time: 0.1546 memory: 26570 grad_norm: 1.8138 loss: 1.1949 grounding_loss_reg: 2.4257 detection_loss_cls: 0.0388 detection_loss_reg: 0.4026 caption_loss_cls: 2.0603 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6674 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:21:51 - mmengine - INFO - Iter(train) [415800/480000] base_lr: 1.0612e-05 lr: 4.2328e-06 eta: 1 day, 17:29:03 time: 2.3904 data_time: 0.1546 memory: 25730 grad_norm: 1.8111 loss: 1.1944 grounding_loss_reg: 2.4257 detection_loss_cls: 0.0391 detection_loss_reg: 0.4030 caption_loss_cls: 2.0602 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6671 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:25:38 - mmengine - INFO - Iter(train) [415900/480000] base_lr: 1.0586e-05 lr: 4.2259e-06 eta: 1 day, 17:24:50 time: 2.3890 data_time: 0.1546 memory: 25730 grad_norm: 1.8126 loss: 1.1903 grounding_loss_reg: 2.4255 detection_loss_cls: 0.0393 detection_loss_reg: 0.4041 caption_loss_cls: 2.0591 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6681 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:29:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 03:29:01 - mmengine - INFO - Iter(train) [416000/480000] base_lr: 1.0559e-05 lr: 4.2191e-06 eta: 1 day, 17:19:16 time: 2.3837 data_time: 0.1545 memory: 26570 grad_norm: 1.8073 loss: 1.1869 grounding_loss_reg: 2.4241 detection_loss_cls: 0.0393 detection_loss_reg: 0.4047 caption_loss_cls: 2.0583 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6688 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:29:01 - mmengine - INFO - Saving checkpoint at 416000 iterations 2023/11/04 03:33:56 - mmengine - INFO - Iter(train) [416100/480000] base_lr: 1.0533e-05 lr: 4.2122e-06 eta: 1 day, 17:18:56 time: 2.3832 data_time: 0.1542 memory: 25730 grad_norm: 1.8029 loss: 1.1893 grounding_loss_reg: 2.4232 detection_loss_cls: 0.0392 detection_loss_reg: 0.4042 caption_loss_cls: 2.0618 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2621 instance_segmentation_loss_poly: 0.6695 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:38:01 - mmengine - INFO - Iter(train) [416200/480000] base_lr: 1.0507e-05 lr: 4.2054e-06 eta: 1 day, 17:15:41 time: 2.3853 data_time: 0.1542 memory: 26570 grad_norm: 1.8014 loss: 1.1874 grounding_loss_reg: 2.4218 detection_loss_cls: 0.0393 detection_loss_reg: 0.4050 caption_loss_cls: 2.0627 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6682 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:41:54 - mmengine - INFO - Iter(train) [416300/480000] base_lr: 1.0480e-05 lr: 4.1986e-06 eta: 1 day, 17:11:51 time: 2.3918 data_time: 0.1542 memory: 25730 grad_norm: 1.8038 loss: 1.1876 grounding_loss_reg: 2.4207 detection_loss_cls: 0.0393 detection_loss_reg: 0.4037 caption_loss_cls: 2.0629 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.6685 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:45:55 - mmengine - INFO - Iter(train) [416400/480000] base_lr: 1.0454e-05 lr: 4.1918e-06 eta: 1 day, 17:08:23 time: 2.3911 data_time: 0.1542 memory: 26570 grad_norm: 1.8031 loss: 1.1883 grounding_loss_reg: 2.4181 detection_loss_cls: 0.0392 detection_loss_reg: 0.4033 caption_loss_cls: 2.0672 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2621 instance_segmentation_loss_poly: 0.6685 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:49:46 - mmengine - INFO - Iter(train) [416500/480000] base_lr: 1.0428e-05 lr: 4.1850e-06 eta: 1 day, 17:04:23 time: 2.3913 data_time: 0.1543 memory: 26570 grad_norm: 1.8052 loss: 1.1908 grounding_loss_reg: 2.4173 detection_loss_cls: 0.0391 detection_loss_reg: 0.4017 caption_loss_cls: 2.0701 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2623 instance_segmentation_loss_poly: 0.6684 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:49:46 - mmengine - INFO - Saving checkpoint at 416500 iterations 2023/11/04 03:54:59 - mmengine - INFO - Iter(train) [416600/480000] base_lr: 1.0402e-05 lr: 4.1783e-06 eta: 1 day, 17:04:50 time: 2.3933 data_time: 0.1534 memory: 25730 grad_norm: 1.8037 loss: 1.1871 grounding_loss_reg: 2.4163 detection_loss_cls: 0.0392 detection_loss_reg: 0.4025 caption_loss_cls: 2.0695 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6690 semantic_segmentation_loss_cls: 0.0094 2023/11/04 03:58:58 - mmengine - INFO - Iter(train) [416700/480000] base_lr: 1.0376e-05 lr: 4.1715e-06 eta: 1 day, 17:01:16 time: 2.3999 data_time: 0.1534 memory: 26570 grad_norm: 1.8019 loss: 1.1854 grounding_loss_reg: 2.4169 detection_loss_cls: 0.0392 detection_loss_reg: 0.4030 caption_loss_cls: 2.0683 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6678 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:02:39 - mmengine - INFO - Iter(train) [416800/480000] base_lr: 1.0350e-05 lr: 4.1647e-06 eta: 1 day, 16:56:43 time: 2.3975 data_time: 0.1532 memory: 26570 grad_norm: 1.8151 loss: 1.1884 grounding_loss_reg: 2.4186 detection_loss_cls: 0.0392 detection_loss_reg: 0.4028 caption_loss_cls: 2.0695 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:06:20 - mmengine - INFO - Iter(train) [416900/480000] base_lr: 1.0324e-05 lr: 4.1580e-06 eta: 1 day, 16:52:09 time: 2.3936 data_time: 0.1532 memory: 25730 grad_norm: 1.8104 loss: 1.1821 grounding_loss_reg: 2.4182 detection_loss_cls: 0.0391 detection_loss_reg: 0.4020 caption_loss_cls: 2.0679 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:10:12 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 04:10:12 - mmengine - INFO - Iter(train) [417000/480000] base_lr: 1.0298e-05 lr: 4.1512e-06 eta: 1 day, 16:48:12 time: 2.3933 data_time: 0.1540 memory: 26570 grad_norm: 1.8081 loss: 1.1854 grounding_loss_reg: 2.4173 detection_loss_cls: 0.0391 detection_loss_reg: 0.4024 caption_loss_cls: 2.0675 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2645 instance_segmentation_loss_poly: 0.6685 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:10:12 - mmengine - INFO - Saving checkpoint at 417000 iterations 2023/11/04 04:14:41 - mmengine - INFO - Iter(train) [417100/480000] base_lr: 1.0272e-05 lr: 4.1445e-06 eta: 1 day, 16:46:13 time: 2.3841 data_time: 0.1535 memory: 26570 grad_norm: 1.8080 loss: 1.1891 grounding_loss_reg: 2.4207 detection_loss_cls: 0.0391 detection_loss_reg: 0.4026 caption_loss_cls: 2.0658 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6673 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:18:40 - mmengine - INFO - Iter(train) [417200/480000] base_lr: 1.0246e-05 lr: 4.1378e-06 eta: 1 day, 16:42:35 time: 2.3891 data_time: 0.1534 memory: 26570 grad_norm: 1.7932 loss: 1.1832 grounding_loss_reg: 2.4204 detection_loss_cls: 0.0391 detection_loss_reg: 0.4028 caption_loss_cls: 2.0676 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2642 instance_segmentation_loss_poly: 0.6690 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:22:07 - mmengine - INFO - Iter(train) [417300/480000] base_lr: 1.0220e-05 lr: 4.1311e-06 eta: 1 day, 16:37:21 time: 2.3890 data_time: 0.1535 memory: 26570 grad_norm: 1.7893 loss: 1.1840 grounding_loss_reg: 2.4147 detection_loss_cls: 0.0391 detection_loss_reg: 0.4029 caption_loss_cls: 2.0695 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2647 instance_segmentation_loss_poly: 0.6698 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:26:11 - mmengine - INFO - Iter(train) [417400/480000] base_lr: 1.0194e-05 lr: 4.1244e-06 eta: 1 day, 16:34:00 time: 2.3934 data_time: 0.1534 memory: 26570 grad_norm: 1.7795 loss: 1.1758 grounding_loss_reg: 2.4144 detection_loss_cls: 0.0393 detection_loss_reg: 0.4035 caption_loss_cls: 2.0638 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.6700 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:29:52 - mmengine - INFO - Iter(train) [417500/480000] base_lr: 1.0168e-05 lr: 4.1177e-06 eta: 1 day, 16:29:28 time: 2.3888 data_time: 0.1533 memory: 26570 grad_norm: 1.7794 loss: 1.1734 grounding_loss_reg: 2.4152 detection_loss_cls: 0.0393 detection_loss_reg: 0.4030 caption_loss_cls: 2.0645 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.6700 semantic_segmentation_loss_cls: 0.0093 2023/11/04 04:29:52 - mmengine - INFO - Saving checkpoint at 417500 iterations 2023/11/04 04:34:33 - mmengine - INFO - Iter(train) [417600/480000] base_lr: 1.0143e-05 lr: 4.1110e-06 eta: 1 day, 16:28:01 time: 2.3802 data_time: 0.1526 memory: 26570 grad_norm: 1.7875 loss: 1.1745 grounding_loss_reg: 2.4147 detection_loss_cls: 0.0394 detection_loss_reg: 0.4037 caption_loss_cls: 2.0651 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6706 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:38:21 - mmengine - INFO - Iter(train) [417700/480000] base_lr: 1.0117e-05 lr: 4.1044e-06 eta: 1 day, 16:23:50 time: 2.3885 data_time: 0.1526 memory: 25730 grad_norm: 1.7775 loss: 1.1735 grounding_loss_reg: 2.4156 detection_loss_cls: 0.0394 detection_loss_reg: 0.4035 caption_loss_cls: 2.0664 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2655 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:42:25 - mmengine - INFO - Iter(train) [417800/480000] base_lr: 1.0091e-05 lr: 4.0977e-06 eta: 1 day, 16:20:29 time: 2.3923 data_time: 0.1526 memory: 26570 grad_norm: 1.7637 loss: 1.1739 grounding_loss_reg: 2.4167 detection_loss_cls: 0.0392 detection_loss_reg: 0.4026 caption_loss_cls: 2.0647 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2661 instance_segmentation_loss_poly: 0.6717 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:46:21 - mmengine - INFO - Iter(train) [417900/480000] base_lr: 1.0066e-05 lr: 4.0911e-06 eta: 1 day, 16:16:42 time: 2.4034 data_time: 0.1526 memory: 26570 grad_norm: 1.7608 loss: 1.1692 grounding_loss_reg: 2.4175 detection_loss_cls: 0.0391 detection_loss_reg: 0.4027 caption_loss_cls: 2.0617 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.6711 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:50:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 04:50:05 - mmengine - INFO - Iter(train) [418000/480000] base_lr: 1.0040e-05 lr: 4.0844e-06 eta: 1 day, 16:12:21 time: 2.4053 data_time: 0.1526 memory: 26570 grad_norm: 1.7707 loss: 1.1661 grounding_loss_reg: 2.4161 detection_loss_cls: 0.0391 detection_loss_reg: 0.4024 caption_loss_cls: 2.0625 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2652 instance_segmentation_loss_poly: 0.6698 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:50:05 - mmengine - INFO - Saving checkpoint at 418000 iterations 2023/11/04 04:54:41 - mmengine - INFO - Iter(train) [418100/480000] base_lr: 1.0014e-05 lr: 4.0778e-06 eta: 1 day, 16:10:31 time: 2.4023 data_time: 0.1522 memory: 26570 grad_norm: 1.7788 loss: 1.1730 grounding_loss_reg: 2.4173 detection_loss_cls: 0.0390 detection_loss_reg: 0.4022 caption_loss_cls: 2.0610 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2654 instance_segmentation_loss_poly: 0.6701 semantic_segmentation_loss_cls: 0.0094 2023/11/04 04:58:10 - mmengine - INFO - Iter(train) [418200/480000] base_lr: 9.9888e-06 lr: 4.0712e-06 eta: 1 day, 16:05:24 time: 2.4019 data_time: 0.1522 memory: 26570 grad_norm: 1.7777 loss: 1.1743 grounding_loss_reg: 2.4176 detection_loss_cls: 0.0389 detection_loss_reg: 0.4019 caption_loss_cls: 2.0583 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2658 instance_segmentation_loss_poly: 0.6703 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:02:03 - mmengine - INFO - Iter(train) [418300/480000] base_lr: 9.9634e-06 lr: 4.0646e-06 eta: 1 day, 16:01:29 time: 2.4028 data_time: 0.1522 memory: 26570 grad_norm: 1.7747 loss: 1.1705 grounding_loss_reg: 2.4159 detection_loss_cls: 0.0389 detection_loss_reg: 0.4021 caption_loss_cls: 2.0583 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2655 instance_segmentation_loss_poly: 0.6694 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:06:06 - mmengine - INFO - Iter(train) [418400/480000] base_lr: 9.9379e-06 lr: 4.0580e-06 eta: 1 day, 15:58:04 time: 2.4122 data_time: 0.1523 memory: 26570 grad_norm: 1.7824 loss: 1.1733 grounding_loss_reg: 2.4171 detection_loss_cls: 0.0390 detection_loss_reg: 0.4019 caption_loss_cls: 2.0595 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.6698 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:09:56 - mmengine - INFO - Iter(train) [418500/480000] base_lr: 9.9125e-06 lr: 4.0514e-06 eta: 1 day, 15:54:00 time: 2.4154 data_time: 0.1523 memory: 25730 grad_norm: 1.7783 loss: 1.1673 grounding_loss_reg: 2.4149 detection_loss_cls: 0.0390 detection_loss_reg: 0.4013 caption_loss_cls: 2.0579 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2663 instance_segmentation_loss_poly: 0.6696 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:09:56 - mmengine - INFO - Saving checkpoint at 418500 iterations 2023/11/04 05:14:57 - mmengine - INFO - Iter(train) [418600/480000] base_lr: 9.8872e-06 lr: 4.0448e-06 eta: 1 day, 15:53:18 time: 2.4185 data_time: 0.1529 memory: 25730 grad_norm: 1.7739 loss: 1.1659 grounding_loss_reg: 2.4155 detection_loss_cls: 0.0390 detection_loss_reg: 0.4014 caption_loss_cls: 2.0567 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2667 instance_segmentation_loss_poly: 0.6701 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:18:59 - mmengine - INFO - Iter(train) [418700/480000] base_lr: 9.8618e-06 lr: 4.0383e-06 eta: 1 day, 15:49:47 time: 2.4162 data_time: 0.1529 memory: 25730 grad_norm: 1.7838 loss: 1.1672 grounding_loss_reg: 2.4137 detection_loss_cls: 0.0390 detection_loss_reg: 0.4008 caption_loss_cls: 2.0566 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.6709 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:22:45 - mmengine - INFO - Iter(train) [418800/480000] base_lr: 9.8366e-06 lr: 4.0317e-06 eta: 1 day, 15:45:29 time: 2.4092 data_time: 0.1526 memory: 26570 grad_norm: 1.7870 loss: 1.1653 grounding_loss_reg: 2.4101 detection_loss_cls: 0.0389 detection_loss_reg: 0.4003 caption_loss_cls: 2.0567 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.6724 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:26:42 - mmengine - INFO - Iter(train) [418900/480000] base_lr: 9.8113e-06 lr: 4.0252e-06 eta: 1 day, 15:41:45 time: 2.4197 data_time: 0.1527 memory: 26570 grad_norm: 1.7732 loss: 1.1653 grounding_loss_reg: 2.4098 detection_loss_cls: 0.0390 detection_loss_reg: 0.4005 caption_loss_cls: 2.0602 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.6738 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:30:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 05:30:31 - mmengine - INFO - Iter(train) [419000/480000] base_lr: 9.7861e-06 lr: 4.0186e-06 eta: 1 day, 15:37:38 time: 2.4187 data_time: 0.1526 memory: 26570 grad_norm: 1.7851 loss: 1.1690 grounding_loss_reg: 2.4109 detection_loss_cls: 0.0389 detection_loss_reg: 0.3996 caption_loss_cls: 2.0595 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2678 instance_segmentation_loss_poly: 0.6723 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:30:31 - mmengine - INFO - Saving checkpoint at 419000 iterations 2023/11/04 05:35:23 - mmengine - INFO - Iter(train) [419100/480000] base_lr: 9.7609e-06 lr: 4.0121e-06 eta: 1 day, 15:36:22 time: 2.4188 data_time: 0.1527 memory: 26570 grad_norm: 1.7846 loss: 1.1654 grounding_loss_reg: 2.4118 detection_loss_cls: 0.0388 detection_loss_reg: 0.3994 caption_loss_cls: 2.0571 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.6726 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:39:27 - mmengine - INFO - Iter(train) [419200/480000] base_lr: 9.7358e-06 lr: 4.0056e-06 eta: 1 day, 15:32:55 time: 2.4303 data_time: 0.1528 memory: 26570 grad_norm: 1.7703 loss: 1.1615 grounding_loss_reg: 2.4101 detection_loss_cls: 0.0388 detection_loss_reg: 0.4000 caption_loss_cls: 2.0573 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.6720 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:43:10 - mmengine - INFO - Iter(train) [419300/480000] base_lr: 9.7107e-06 lr: 3.9991e-06 eta: 1 day, 15:28:31 time: 2.4242 data_time: 0.1527 memory: 25730 grad_norm: 1.7660 loss: 1.1648 grounding_loss_reg: 2.4090 detection_loss_cls: 0.0390 detection_loss_reg: 0.4014 caption_loss_cls: 2.0572 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.6728 semantic_segmentation_loss_cls: 0.0094 2023/11/04 05:46:58 - mmengine - INFO - Iter(train) [419400/480000] base_lr: 9.6857e-06 lr: 3.9926e-06 eta: 1 day, 15:24:21 time: 2.4223 data_time: 0.1527 memory: 25730 grad_norm: 1.7793 loss: 1.1733 grounding_loss_reg: 2.4072 detection_loss_cls: 0.0391 detection_loss_reg: 0.4020 caption_loss_cls: 2.0589 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0093 2023/11/04 05:50:55 - mmengine - INFO - Iter(train) [419500/480000] base_lr: 9.6606e-06 lr: 3.9861e-06 eta: 1 day, 15:20:33 time: 2.4206 data_time: 0.1532 memory: 25730 grad_norm: 1.7692 loss: 1.1720 grounding_loss_reg: 2.4064 detection_loss_cls: 0.0391 detection_loss_reg: 0.4023 caption_loss_cls: 2.0585 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.6745 semantic_segmentation_loss_cls: 0.0093 2023/11/04 05:50:55 - mmengine - INFO - Saving checkpoint at 419500 iterations 2023/11/04 05:55:47 - mmengine - INFO - Iter(train) [419600/480000] base_lr: 9.6357e-06 lr: 3.9796e-06 eta: 1 day, 15:19:13 time: 2.4229 data_time: 0.1532 memory: 25730 grad_norm: 1.7747 loss: 1.1751 grounding_loss_reg: 2.4068 detection_loss_cls: 0.0390 detection_loss_reg: 0.4016 caption_loss_cls: 2.0585 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2684 instance_segmentation_loss_poly: 0.6739 semantic_segmentation_loss_cls: 0.0093 2023/11/04 05:59:10 - mmengine - INFO - Iter(train) [419700/480000] base_lr: 9.6107e-06 lr: 3.9732e-06 eta: 1 day, 15:13:56 time: 2.4171 data_time: 0.1532 memory: 26570 grad_norm: 1.7788 loss: 1.1669 grounding_loss_reg: 2.4035 detection_loss_cls: 0.0389 detection_loss_reg: 0.4010 caption_loss_cls: 2.0595 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.6741 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:02:53 - mmengine - INFO - Iter(train) [419800/480000] base_lr: 9.5858e-06 lr: 3.9667e-06 eta: 1 day, 15:09:33 time: 2.4147 data_time: 0.1532 memory: 25730 grad_norm: 1.7701 loss: 1.1629 grounding_loss_reg: 2.4038 detection_loss_cls: 0.0390 detection_loss_reg: 0.4017 caption_loss_cls: 2.0587 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6743 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:06:41 - mmengine - INFO - Iter(train) [419900/480000] base_lr: 9.5610e-06 lr: 3.9603e-06 eta: 1 day, 15:05:23 time: 2.4151 data_time: 0.1532 memory: 25730 grad_norm: 1.7671 loss: 1.1635 grounding_loss_reg: 2.4047 detection_loss_cls: 0.0390 detection_loss_reg: 0.4009 caption_loss_cls: 2.0603 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.6740 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:10:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 06:10:37 - mmengine - INFO - Iter(train) [420000/480000] base_lr: 9.5362e-06 lr: 3.9538e-06 eta: 1 day, 15:01:31 time: 2.4232 data_time: 0.1531 memory: 26570 grad_norm: 1.7682 loss: 1.1595 grounding_loss_reg: 2.4031 detection_loss_cls: 0.0391 detection_loss_reg: 0.4015 caption_loss_cls: 2.0614 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2686 instance_segmentation_loss_poly: 0.6729 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:10:37 - mmengine - INFO - Saving checkpoint at 420000 iterations 2023/11/04 06:16:34 - mmengine - INFO - Evaluating bbox... 2023/11/04 06:17:37 - mmengine - INFO - bbox_mAP_copypaste: 0.533 0.711 0.584 0.375 0.579 0.682 2023/11/04 06:17:37 - mmengine - INFO - Evaluating segm... 2023/11/04 06:18:55 - mmengine - INFO - segm_mAP_copypaste: 0.357 0.625 0.356 0.212 0.406 0.543 2023/11/04 06:20:19 - mmengine - INFO - Evaluating bbox... 2023/11/04 06:21:23 - mmengine - INFO - bbox_mAP_copypaste: 0.534 0.711 0.584 0.376 0.579 0.683 2023/11/04 06:24:33 - mmengine - INFO - per class results: 2023/11/04 06:24:33 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.69 | 89.37 | | building | 82.69 | 91.49 | | sky | 93.47 | 97.58 | | floor | 83.04 | 90.17 | | tree | 74.5 | 89.17 | | ceiling | 84.7 | 94.45 | | road | 85.51 | 89.22 | | bed | 90.22 | 95.65 | | windowpane | 63.76 | 79.48 | | grass | 67.49 | 81.0 | | cabinet | 62.82 | 74.12 | | sidewalk | 69.05 | 83.63 | | person | 81.56 | 91.53 | | earth | 45.12 | 58.34 | | door | 53.68 | 66.04 | | table | 65.78 | 81.6 | | mountain | 62.09 | 75.74 | | plant | 53.5 | 68.51 | | curtain | 75.34 | 88.6 | | chair | 60.33 | 73.77 | | car | 82.93 | 92.41 | | water | 59.76 | 73.21 | | painting | 72.21 | 87.37 | | sofa | 75.03 | 85.14 | | shelf | 45.0 | 60.84 | | house | 40.3 | 58.61 | | sea | 67.88 | 87.67 | | mirror | 69.64 | 78.38 | | rug | 66.91 | 76.56 | | field | 28.75 | 45.33 | | armchair | 52.96 | 76.04 | | seat | 67.97 | 86.07 | | fence | 44.58 | 59.04 | | desk | 56.26 | 72.86 | | rock | 48.79 | 68.71 | | wardrobe | 52.21 | 61.19 | | lamp | 62.32 | 75.28 | | bathtub | 83.76 | 86.96 | | railing | 35.37 | 48.81 | | cushion | 61.94 | 73.5 | | base | 28.6 | 40.76 | | box | 31.41 | 40.13 | | column | 49.07 | 65.07 | | signboard | 37.9 | 52.35 | | chest of drawers | 38.66 | 69.67 | | counter | 28.31 | 36.24 | | sand | 58.01 | 74.53 | | sink | 74.77 | 84.82 | | skyscraper | 49.55 | 58.09 | | fireplace | 70.27 | 87.84 | | refrigerator | 80.06 | 90.11 | | grandstand | 49.52 | 78.81 | | path | 27.8 | 42.12 | | stairs | 37.66 | 50.68 | | runway | 75.06 | 94.62 | | case | 54.79 | 68.25 | | pool table | 91.38 | 95.41 | | pillow | 57.74 | 69.33 | | screen door | 75.67 | 79.99 | | stairway | 33.0 | 38.9 | | river | 13.56 | 24.9 | | bridge | 49.8 | 56.9 | | bookcase | 36.02 | 60.18 | | blind | 39.57 | 44.1 | | coffee table | 64.25 | 78.11 | | toilet | 87.53 | 92.65 | | flower | 40.65 | 59.48 | | book | 46.19 | 68.31 | | hill | 12.56 | 22.23 | | bench | 59.05 | 73.05 | | countertop | 62.65 | 73.65 | | stove | 76.31 | 84.24 | | palm | 49.32 | 64.31 | | kitchen island | 39.96 | 80.35 | | computer | 73.74 | 87.31 | | swivel chair | 47.05 | 61.21 | | boat | 70.24 | 85.11 | | bar | 42.54 | 54.04 | | arcade machine | 72.41 | 79.99 | | hovel | 37.57 | 43.09 | | bus | 92.29 | 95.5 | | towel | 64.11 | 80.3 | | light | 48.64 | 56.21 | | truck | 43.16 | 60.68 | | tower | 48.77 | 77.74 | | chandelier | 60.82 | 73.54 | | awning | 28.51 | 35.12 | | streetlight | 34.06 | 44.44 | | booth | 37.23 | 46.6 | | television receiver | 70.53 | 83.73 | | airplane | 61.6 | 70.23 | | dirt track | 1.95 | 9.08 | | apparel | 42.51 | 62.7 | | pole | 26.57 | 38.51 | | land | 0.78 | 0.98 | | bannister | 13.83 | 17.64 | | escalator | 25.21 | 28.54 | | ottoman | 48.52 | 71.26 | | bottle | 30.94 | 40.83 | | buffet | 45.95 | 52.71 | | poster | 33.34 | 42.52 | | stage | 9.08 | 17.21 | | van | 28.05 | 33.24 | | ship | 82.93 | 87.78 | | fountain | 30.15 | 31.36 | | conveyer belt | 69.92 | 86.8 | | canopy | 29.74 | 36.83 | | washer | 72.6 | 74.29 | | plaything | 21.52 | 25.47 | | swimming pool | 82.37 | 86.8 | | stool | 49.05 | 62.55 | | barrel | 49.17 | 64.91 | | basket | 28.85 | 46.37 | | waterfall | 67.12 | 74.56 | | tent | 90.87 | 96.72 | | bag | 21.85 | 26.74 | | minibike | 73.69 | 87.94 | | cradle | 79.22 | 93.71 | | oven | 49.46 | 61.17 | | ball | 50.75 | 65.69 | | food | 53.77 | 61.19 | | step | 8.35 | 10.33 | | tank | 42.73 | 60.03 | | trade name | 20.89 | 22.52 | | microwave | 88.18 | 94.7 | | pot | 57.59 | 67.63 | | animal | 67.24 | 72.61 | | bicycle | 60.71 | 78.78 | | lake | 52.55 | 62.96 | | dishwasher | 72.3 | 78.35 | | screen | 71.26 | 86.42 | | blanket | 17.44 | 20.36 | | sculpture | 73.05 | 83.96 | | hood | 69.68 | 86.68 | | sconce | 44.19 | 58.0 | | vase | 43.42 | 61.56 | | traffic light | 39.46 | 54.6 | | tray | 15.48 | 29.58 | | ashcan | 42.59 | 61.43 | | fan | 58.0 | 69.7 | | pier | 36.32 | 40.32 | | crt screen | 6.54 | 9.71 | | plate | 56.12 | 68.84 | | monitor | 30.81 | 35.25 | | bulletin board | 45.26 | 53.22 | | shower | 4.35 | 5.35 | | radiator | 60.95 | 71.73 | | glass | 17.48 | 18.76 | | clock | 27.64 | 33.41 | | flag | 67.23 | 76.33 | +---------------------+-------+-------+ 2023/11/04 06:24:56 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:27 time: 1.1590 data_time: 0.0111 memory: 27851 2023/11/04 06:25:17 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5340 coco/bbox_mAP_50: 0.7110 coco/bbox_mAP_75: 0.5840 coco/bbox_mAP_s: 0.3760 coco/bbox_mAP_m: 0.5790 coco/bbox_mAP_l: 0.6830 coco/segm_mAP: 0.3570 coco/segm_mAP_50: 0.6250 coco/segm_mAP_75: 0.3560 coco/segm_mAP_s: 0.2120 coco/segm_mAP_m: 0.4060 coco/segm_mAP_l: 0.5430 Bleu_1: 0.7723 Bleu_2: 0.6089 Bleu_3: 0.4681 Bleu_4: 0.3572 METEOR: 0.2883 ROUGE_L: 0.5768 CIDEr: 1.2010 SPICE: 0.2164 aAcc: 84.2500 mIoU: 52.5000 mAcc: 64.0500 visual-grounding/miou: 0.8147 visual-grounding/acc: 0.8787 data_time: 0.0011 time: 0.2243 2023/11/04 06:28:42 - mmengine - INFO - Iter(train) [420100/480000] base_lr: 9.5114e-06 lr: 3.9474e-06 eta: 1 day, 14:56:37 time: 2.4020 data_time: 0.1370 memory: 25730 grad_norm: 1.7767 loss: 1.1556 grounding_loss_reg: 2.4024 detection_loss_cls: 0.0391 detection_loss_reg: 0.4023 caption_loss_cls: 2.0617 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:32:14 - mmengine - INFO - Iter(train) [420200/480000] base_lr: 9.4867e-06 lr: 3.9410e-06 eta: 1 day, 14:51:44 time: 2.3938 data_time: 0.1370 memory: 25730 grad_norm: 1.7927 loss: 1.1625 grounding_loss_reg: 2.4049 detection_loss_cls: 0.0391 detection_loss_reg: 0.4027 caption_loss_cls: 2.0638 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.6733 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:35:54 - mmengine - INFO - Iter(train) [420300/480000] base_lr: 9.4620e-06 lr: 3.9346e-06 eta: 1 day, 14:47:14 time: 2.3904 data_time: 0.1370 memory: 26570 grad_norm: 1.7972 loss: 1.1694 grounding_loss_reg: 2.4046 detection_loss_cls: 0.0394 detection_loss_reg: 0.4039 caption_loss_cls: 2.0646 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6732 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:39:23 - mmengine - INFO - Iter(train) [420400/480000] base_lr: 9.4373e-06 lr: 3.9282e-06 eta: 1 day, 14:42:17 time: 2.3825 data_time: 0.1369 memory: 26570 grad_norm: 1.7952 loss: 1.1711 grounding_loss_reg: 2.4076 detection_loss_cls: 0.0395 detection_loss_reg: 0.4041 caption_loss_cls: 2.0638 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6742 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:43:19 - mmengine - INFO - Iter(train) [420500/480000] base_lr: 9.4127e-06 lr: 3.9218e-06 eta: 1 day, 14:38:28 time: 2.3837 data_time: 0.1369 memory: 25730 grad_norm: 1.7888 loss: 1.1703 grounding_loss_reg: 2.4071 detection_loss_cls: 0.0395 detection_loss_reg: 0.4040 caption_loss_cls: 2.0650 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.6740 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:43:19 - mmengine - INFO - Saving checkpoint at 420500 iterations 2023/11/04 06:48:10 - mmengine - INFO - Iter(train) [420600/480000] base_lr: 9.3881e-06 lr: 3.9154e-06 eta: 1 day, 14:36:59 time: 2.3783 data_time: 0.1365 memory: 26570 grad_norm: 1.7918 loss: 1.1710 grounding_loss_reg: 2.4061 detection_loss_cls: 0.0394 detection_loss_reg: 0.4043 caption_loss_cls: 2.0616 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:52:21 - mmengine - INFO - Iter(train) [420700/480000] base_lr: 9.3636e-06 lr: 3.9091e-06 eta: 1 day, 14:33:47 time: 2.3812 data_time: 0.1365 memory: 26570 grad_norm: 1.7836 loss: 1.1708 grounding_loss_reg: 2.4078 detection_loss_cls: 0.0394 detection_loss_reg: 0.4048 caption_loss_cls: 2.0632 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6736 semantic_segmentation_loss_cls: 0.0092 2023/11/04 06:55:52 - mmengine - INFO - Iter(train) [420800/480000] base_lr: 9.3391e-06 lr: 3.9027e-06 eta: 1 day, 14:28:56 time: 2.3788 data_time: 0.1366 memory: 26570 grad_norm: 1.7715 loss: 1.1699 grounding_loss_reg: 2.4083 detection_loss_cls: 0.0394 detection_loss_reg: 0.4044 caption_loss_cls: 2.0635 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.6745 semantic_segmentation_loss_cls: 0.0093 2023/11/04 06:59:56 - mmengine - INFO - Iter(train) [420900/480000] base_lr: 9.3146e-06 lr: 3.8964e-06 eta: 1 day, 14:25:26 time: 2.3846 data_time: 0.1365 memory: 25730 grad_norm: 1.7710 loss: 1.1720 grounding_loss_reg: 2.4082 detection_loss_cls: 0.0394 detection_loss_reg: 0.4044 caption_loss_cls: 2.0606 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:04:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 07:04:00 - mmengine - INFO - Iter(train) [421000/480000] base_lr: 9.2902e-06 lr: 3.8900e-06 eta: 1 day, 14:21:56 time: 2.3877 data_time: 0.1357 memory: 26570 grad_norm: 1.7699 loss: 1.1687 grounding_loss_reg: 2.4093 detection_loss_cls: 0.0395 detection_loss_reg: 0.4045 caption_loss_cls: 2.0633 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6759 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:04:00 - mmengine - INFO - Saving checkpoint at 421000 iterations 2023/11/04 07:08:47 - mmengine - INFO - Iter(train) [421100/480000] base_lr: 9.2658e-06 lr: 3.8837e-06 eta: 1 day, 14:20:11 time: 2.3919 data_time: 0.1351 memory: 26570 grad_norm: 1.7649 loss: 1.1625 grounding_loss_reg: 2.4091 detection_loss_cls: 0.0396 detection_loss_reg: 0.4047 caption_loss_cls: 2.0652 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.6738 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:12:11 - mmengine - INFO - Iter(train) [421200/480000] base_lr: 9.2414e-06 lr: 3.8774e-06 eta: 1 day, 14:15:03 time: 2.3833 data_time: 0.1350 memory: 26570 grad_norm: 1.7780 loss: 1.1650 grounding_loss_reg: 2.4086 detection_loss_cls: 0.0397 detection_loss_reg: 0.4052 caption_loss_cls: 2.0659 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.6723 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:15:54 - mmengine - INFO - Iter(train) [421300/480000] base_lr: 9.2171e-06 lr: 3.8711e-06 eta: 1 day, 14:10:42 time: 2.3873 data_time: 0.1350 memory: 25730 grad_norm: 1.7732 loss: 1.1622 grounding_loss_reg: 2.4073 detection_loss_cls: 0.0396 detection_loss_reg: 0.4048 caption_loss_cls: 2.0638 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.6728 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:19:45 - mmengine - INFO - Iter(train) [421400/480000] base_lr: 9.1929e-06 lr: 3.8648e-06 eta: 1 day, 14:06:41 time: 2.3841 data_time: 0.1349 memory: 25730 grad_norm: 1.7793 loss: 1.1617 grounding_loss_reg: 2.4048 detection_loss_cls: 0.0395 detection_loss_reg: 0.4038 caption_loss_cls: 2.0615 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.6729 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:23:41 - mmengine - INFO - Iter(train) [421500/480000] base_lr: 9.1686e-06 lr: 3.8585e-06 eta: 1 day, 14:02:49 time: 2.3879 data_time: 0.1350 memory: 26570 grad_norm: 1.7802 loss: 1.1626 grounding_loss_reg: 2.4059 detection_loss_cls: 0.0396 detection_loss_reg: 0.4046 caption_loss_cls: 2.0603 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2684 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:23:41 - mmengine - INFO - Saving checkpoint at 421500 iterations 2023/11/04 07:28:12 - mmengine - INFO - Iter(train) [421600/480000] base_lr: 9.1445e-06 lr: 3.8523e-06 eta: 1 day, 14:00:24 time: 2.3853 data_time: 0.1354 memory: 25730 grad_norm: 1.7826 loss: 1.1645 grounding_loss_reg: 2.4050 detection_loss_cls: 0.0396 detection_loss_reg: 0.4054 caption_loss_cls: 2.0595 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.6740 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:31:56 - mmengine - INFO - Iter(train) [421700/480000] base_lr: 9.1203e-06 lr: 3.8460e-06 eta: 1 day, 13:56:03 time: 2.3842 data_time: 0.1354 memory: 26570 grad_norm: 1.7845 loss: 1.1622 grounding_loss_reg: 2.4036 detection_loss_cls: 0.0394 detection_loss_reg: 0.4044 caption_loss_cls: 2.0590 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6757 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:35:06 - mmengine - INFO - Iter(train) [421800/480000] base_lr: 9.0962e-06 lr: 3.8398e-06 eta: 1 day, 13:50:27 time: 2.3709 data_time: 0.1354 memory: 26570 grad_norm: 1.7871 loss: 1.1598 grounding_loss_reg: 2.4031 detection_loss_cls: 0.0395 detection_loss_reg: 0.4052 caption_loss_cls: 2.0571 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6768 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:38:22 - mmengine - INFO - Iter(train) [421900/480000] base_lr: 9.0721e-06 lr: 3.8335e-06 eta: 1 day, 13:45:04 time: 2.3608 data_time: 0.1353 memory: 26570 grad_norm: 1.7992 loss: 1.1651 grounding_loss_reg: 2.4015 detection_loss_cls: 0.0394 detection_loss_reg: 0.4050 caption_loss_cls: 2.0587 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6760 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:41:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 07:41:50 - mmengine - INFO - Iter(train) [422000/480000] base_lr: 9.0481e-06 lr: 3.8273e-06 eta: 1 day, 13:40:08 time: 2.3567 data_time: 0.1354 memory: 25730 grad_norm: 1.8079 loss: 1.1669 grounding_loss_reg: 2.3992 detection_loss_cls: 0.0393 detection_loss_reg: 0.4045 caption_loss_cls: 2.0568 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6765 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:41:50 - mmengine - INFO - Saving checkpoint at 422000 iterations 2023/11/04 07:46:33 - mmengine - INFO - Iter(train) [422100/480000] base_lr: 9.0241e-06 lr: 3.8211e-06 eta: 1 day, 13:38:07 time: 2.3585 data_time: 0.1354 memory: 25730 grad_norm: 1.7975 loss: 1.1606 grounding_loss_reg: 2.4002 detection_loss_cls: 0.0393 detection_loss_reg: 0.4049 caption_loss_cls: 2.0560 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6783 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:50:14 - mmengine - INFO - Iter(train) [422200/480000] base_lr: 9.0002e-06 lr: 3.8149e-06 eta: 1 day, 13:33:45 time: 2.3618 data_time: 0.1354 memory: 25730 grad_norm: 1.7987 loss: 1.1585 grounding_loss_reg: 2.3988 detection_loss_cls: 0.0394 detection_loss_reg: 0.4051 caption_loss_cls: 2.0564 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6783 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:53:50 - mmengine - INFO - Iter(train) [422300/480000] base_lr: 8.9762e-06 lr: 3.8087e-06 eta: 1 day, 13:29:09 time: 2.3574 data_time: 0.1353 memory: 25730 grad_norm: 1.8087 loss: 1.1605 grounding_loss_reg: 2.3943 detection_loss_cls: 0.0394 detection_loss_reg: 0.4051 caption_loss_cls: 2.0546 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6786 semantic_segmentation_loss_cls: 0.0093 2023/11/04 07:57:39 - mmengine - INFO - Iter(train) [422400/480000] base_lr: 8.9524e-06 lr: 3.8025e-06 eta: 1 day, 13:25:04 time: 2.3538 data_time: 0.1353 memory: 26570 grad_norm: 1.8110 loss: 1.1590 grounding_loss_reg: 2.3925 detection_loss_cls: 0.0394 detection_loss_reg: 0.4052 caption_loss_cls: 2.0536 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6784 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:01:15 - mmengine - INFO - Iter(train) [422500/480000] base_lr: 8.9285e-06 lr: 3.7963e-06 eta: 1 day, 13:20:30 time: 2.3504 data_time: 0.1352 memory: 26570 grad_norm: 1.8129 loss: 1.1637 grounding_loss_reg: 2.3914 detection_loss_cls: 0.0394 detection_loss_reg: 0.4057 caption_loss_cls: 2.0557 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6791 semantic_segmentation_loss_cls: 0.0093 2023/11/04 08:01:15 - mmengine - INFO - Saving checkpoint at 422500 iterations 2023/11/04 08:05:56 - mmengine - INFO - Iter(train) [422600/480000] base_lr: 8.9047e-06 lr: 3.7901e-06 eta: 1 day, 13:18:22 time: 2.3453 data_time: 0.1350 memory: 26570 grad_norm: 1.8215 loss: 1.1659 grounding_loss_reg: 2.3921 detection_loss_cls: 0.0393 detection_loss_reg: 0.4049 caption_loss_cls: 2.0568 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6791 semantic_segmentation_loss_cls: 0.0093 2023/11/04 08:09:43 - mmengine - INFO - Iter(train) [422700/480000] base_lr: 8.8810e-06 lr: 3.7840e-06 eta: 1 day, 13:14:11 time: 2.3415 data_time: 0.1349 memory: 25730 grad_norm: 1.8225 loss: 1.1682 grounding_loss_reg: 2.3903 detection_loss_cls: 0.0393 detection_loss_reg: 0.4053 caption_loss_cls: 2.0574 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6795 semantic_segmentation_loss_cls: 0.0093 2023/11/04 08:13:32 - mmengine - INFO - Iter(train) [422800/480000] base_lr: 8.8573e-06 lr: 3.7778e-06 eta: 1 day, 13:10:06 time: 2.3424 data_time: 0.1349 memory: 26570 grad_norm: 1.8211 loss: 1.1684 grounding_loss_reg: 2.3903 detection_loss_cls: 0.0395 detection_loss_reg: 0.4066 caption_loss_cls: 2.0559 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6800 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:17:15 - mmengine - INFO - Iter(train) [422900/480000] base_lr: 8.8336e-06 lr: 3.7717e-06 eta: 1 day, 13:05:48 time: 2.3387 data_time: 0.1349 memory: 25730 grad_norm: 1.8257 loss: 1.1670 grounding_loss_reg: 2.3917 detection_loss_cls: 0.0394 detection_loss_reg: 0.4064 caption_loss_cls: 2.0525 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6796 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:20:57 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 08:20:57 - mmengine - INFO - Iter(train) [423000/480000] base_lr: 8.8100e-06 lr: 3.7655e-06 eta: 1 day, 13:01:28 time: 2.3369 data_time: 0.1349 memory: 26570 grad_norm: 1.8208 loss: 1.1640 grounding_loss_reg: 2.3906 detection_loss_cls: 0.0393 detection_loss_reg: 0.4058 caption_loss_cls: 2.0549 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6779 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:20:57 - mmengine - INFO - Saving checkpoint at 423000 iterations 2023/11/04 08:25:58 - mmengine - INFO - Iter(train) [423100/480000] base_lr: 8.7864e-06 lr: 3.7594e-06 eta: 1 day, 13:00:00 time: 2.3393 data_time: 0.1348 memory: 25730 grad_norm: 1.8192 loss: 1.1698 grounding_loss_reg: 2.3897 detection_loss_cls: 0.0393 detection_loss_reg: 0.4054 caption_loss_cls: 2.0540 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6796 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:29:21 - mmengine - INFO - Iter(train) [423200/480000] base_lr: 8.7628e-06 lr: 3.7533e-06 eta: 1 day, 12:54:59 time: 2.3291 data_time: 0.1348 memory: 25730 grad_norm: 1.8376 loss: 1.1791 grounding_loss_reg: 2.3891 detection_loss_cls: 0.0393 detection_loss_reg: 0.4058 caption_loss_cls: 2.0524 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6806 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:32:55 - mmengine - INFO - Iter(train) [423300/480000] base_lr: 8.7393e-06 lr: 3.7472e-06 eta: 1 day, 12:50:22 time: 2.3268 data_time: 0.1348 memory: 26570 grad_norm: 1.8515 loss: 1.1828 grounding_loss_reg: 2.3884 detection_loss_cls: 0.0393 detection_loss_reg: 0.4058 caption_loss_cls: 2.0530 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.6820 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:36:48 - mmengine - INFO - Iter(train) [423400/480000] base_lr: 8.7158e-06 lr: 3.7411e-06 eta: 1 day, 12:46:25 time: 2.3279 data_time: 0.1348 memory: 26570 grad_norm: 1.8535 loss: 1.1837 grounding_loss_reg: 2.3892 detection_loss_cls: 0.0394 detection_loss_reg: 0.4068 caption_loss_cls: 2.0535 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6812 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:40:13 - mmengine - INFO - Iter(train) [423500/480000] base_lr: 8.6924e-06 lr: 3.7351e-06 eta: 1 day, 12:41:30 time: 2.3201 data_time: 0.1344 memory: 26570 grad_norm: 1.8587 loss: 1.1855 grounding_loss_reg: 2.3890 detection_loss_cls: 0.0395 detection_loss_reg: 0.4063 caption_loss_cls: 2.0555 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6816 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:40:13 - mmengine - INFO - Saving checkpoint at 423500 iterations 2023/11/04 08:45:05 - mmengine - INFO - Iter(train) [423600/480000] base_lr: 8.6690e-06 lr: 3.7290e-06 eta: 1 day, 12:39:40 time: 2.3202 data_time: 0.1340 memory: 26570 grad_norm: 1.8604 loss: 1.1889 grounding_loss_reg: 2.3879 detection_loss_cls: 0.0395 detection_loss_reg: 0.4066 caption_loss_cls: 2.0583 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6827 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:48:47 - mmengine - INFO - Iter(train) [423700/480000] base_lr: 8.6456e-06 lr: 3.7229e-06 eta: 1 day, 12:35:21 time: 2.3249 data_time: 0.1340 memory: 26570 grad_norm: 1.8649 loss: 1.1987 grounding_loss_reg: 2.3908 detection_loss_cls: 0.0395 detection_loss_reg: 0.4067 caption_loss_cls: 2.0588 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.6831 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:52:32 - mmengine - INFO - Iter(train) [423800/480000] base_lr: 8.6223e-06 lr: 3.7169e-06 eta: 1 day, 12:31:07 time: 2.3252 data_time: 0.1340 memory: 26570 grad_norm: 1.8722 loss: 1.2039 grounding_loss_reg: 2.3879 detection_loss_cls: 0.0395 detection_loss_reg: 0.4070 caption_loss_cls: 2.0613 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2728 instance_segmentation_loss_poly: 0.6829 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:56:08 - mmengine - INFO - Iter(train) [423900/480000] base_lr: 8.5990e-06 lr: 3.7109e-06 eta: 1 day, 12:26:36 time: 2.3221 data_time: 0.1340 memory: 25730 grad_norm: 1.8706 loss: 1.2028 grounding_loss_reg: 2.3861 detection_loss_cls: 0.0394 detection_loss_reg: 0.4073 caption_loss_cls: 2.0616 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:59:47 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 08:59:47 - mmengine - INFO - Iter(train) [424000/480000] base_lr: 8.5758e-06 lr: 3.7048e-06 eta: 1 day, 12:22:11 time: 2.3181 data_time: 0.1340 memory: 26570 grad_norm: 1.8678 loss: 1.2029 grounding_loss_reg: 2.3870 detection_loss_cls: 0.0395 detection_loss_reg: 0.4078 caption_loss_cls: 2.0601 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6807 semantic_segmentation_loss_cls: 0.0092 2023/11/04 08:59:47 - mmengine - INFO - Saving checkpoint at 424000 iterations 2023/11/04 09:04:50 - mmengine - INFO - Iter(train) [424100/480000] base_lr: 8.5526e-06 lr: 3.6988e-06 eta: 1 day, 12:20:41 time: 2.3412 data_time: 0.1499 memory: 26570 grad_norm: 1.8635 loss: 1.2042 grounding_loss_reg: 2.3877 detection_loss_cls: 0.0395 detection_loss_reg: 0.4084 caption_loss_cls: 2.0596 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2716 instance_segmentation_loss_poly: 0.6810 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:08:24 - mmengine - INFO - Iter(train) [424200/480000] base_lr: 8.5294e-06 lr: 3.6928e-06 eta: 1 day, 12:16:04 time: 2.3418 data_time: 0.1499 memory: 26570 grad_norm: 1.8601 loss: 1.2043 grounding_loss_reg: 2.3890 detection_loss_cls: 0.0395 detection_loss_reg: 0.4086 caption_loss_cls: 2.0609 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6805 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:12:03 - mmengine - INFO - Iter(train) [424300/480000] base_lr: 8.5063e-06 lr: 3.6868e-06 eta: 1 day, 12:11:39 time: 2.3415 data_time: 0.1499 memory: 25730 grad_norm: 1.8534 loss: 1.1974 grounding_loss_reg: 2.3897 detection_loss_cls: 0.0395 detection_loss_reg: 0.4087 caption_loss_cls: 2.0587 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.6800 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:15:54 - mmengine - INFO - Iter(train) [424400/480000] base_lr: 8.4832e-06 lr: 3.6808e-06 eta: 1 day, 12:07:40 time: 2.3471 data_time: 0.1499 memory: 26570 grad_norm: 1.8583 loss: 1.1974 grounding_loss_reg: 2.3901 detection_loss_cls: 0.0394 detection_loss_reg: 0.4083 caption_loss_cls: 2.0592 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.6803 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:19:54 - mmengine - INFO - Iter(train) [424500/480000] base_lr: 8.4602e-06 lr: 3.6749e-06 eta: 1 day, 12:03:58 time: 2.3482 data_time: 0.1499 memory: 26570 grad_norm: 1.8650 loss: 1.1949 grounding_loss_reg: 2.3896 detection_loss_cls: 0.0395 detection_loss_reg: 0.4089 caption_loss_cls: 2.0545 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6810 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:19:54 - mmengine - INFO - Saving checkpoint at 424500 iterations 2023/11/04 09:24:54 - mmengine - INFO - Iter(train) [424600/480000] base_lr: 8.4372e-06 lr: 3.6689e-06 eta: 1 day, 12:02:16 time: 2.3502 data_time: 0.1504 memory: 26570 grad_norm: 1.8623 loss: 1.1978 grounding_loss_reg: 2.3930 detection_loss_cls: 0.0394 detection_loss_reg: 0.4085 caption_loss_cls: 2.0530 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.6810 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:28:22 - mmengine - INFO - Iter(train) [424700/480000] base_lr: 8.4142e-06 lr: 3.6629e-06 eta: 1 day, 11:57:30 time: 2.3396 data_time: 0.1503 memory: 26570 grad_norm: 1.8709 loss: 1.1987 grounding_loss_reg: 2.3936 detection_loss_cls: 0.0394 detection_loss_reg: 0.4080 caption_loss_cls: 2.0505 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.6817 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:31:46 - mmengine - INFO - Iter(train) [424800/480000] base_lr: 8.3913e-06 lr: 3.6570e-06 eta: 1 day, 11:52:35 time: 2.3376 data_time: 0.1503 memory: 25730 grad_norm: 1.8845 loss: 1.1957 grounding_loss_reg: 2.3916 detection_loss_cls: 0.0394 detection_loss_reg: 0.4076 caption_loss_cls: 2.0490 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2718 instance_segmentation_loss_poly: 0.6819 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:35:22 - mmengine - INFO - Iter(train) [424900/480000] base_lr: 8.3684e-06 lr: 3.6511e-06 eta: 1 day, 11:48:07 time: 2.3308 data_time: 0.1503 memory: 26570 grad_norm: 1.8889 loss: 1.1957 grounding_loss_reg: 2.3904 detection_loss_cls: 0.0394 detection_loss_reg: 0.4072 caption_loss_cls: 2.0466 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.6828 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:39:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 09:39:30 - mmengine - INFO - Iter(train) [425000/480000] base_lr: 8.3455e-06 lr: 3.6451e-06 eta: 1 day, 11:44:41 time: 2.3318 data_time: 0.1504 memory: 26570 grad_norm: 1.8928 loss: 1.1942 grounding_loss_reg: 2.3880 detection_loss_cls: 0.0392 detection_loss_reg: 0.4061 caption_loss_cls: 2.0497 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.6832 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:39:30 - mmengine - INFO - Saving checkpoint at 425000 iterations 2023/11/04 09:44:30 - mmengine - INFO - Iter(train) [425100/480000] base_lr: 8.3227e-06 lr: 3.6392e-06 eta: 1 day, 11:42:56 time: 2.3351 data_time: 0.1508 memory: 26570 grad_norm: 1.8885 loss: 1.1962 grounding_loss_reg: 2.3854 detection_loss_cls: 0.0392 detection_loss_reg: 0.4057 caption_loss_cls: 2.0505 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2728 instance_segmentation_loss_poly: 0.6846 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:48:05 - mmengine - INFO - Iter(train) [425200/480000] base_lr: 8.3000e-06 lr: 3.6333e-06 eta: 1 day, 11:38:23 time: 2.3378 data_time: 0.1508 memory: 25730 grad_norm: 1.8867 loss: 1.1955 grounding_loss_reg: 2.3859 detection_loss_cls: 0.0393 detection_loss_reg: 0.4062 caption_loss_cls: 2.0508 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:52:01 - mmengine - INFO - Iter(train) [425300/480000] base_lr: 8.2772e-06 lr: 3.6274e-06 eta: 1 day, 11:34:33 time: 2.3410 data_time: 0.1508 memory: 25730 grad_norm: 1.8900 loss: 1.1987 grounding_loss_reg: 2.3887 detection_loss_cls: 0.0393 detection_loss_reg: 0.4070 caption_loss_cls: 2.0524 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6822 semantic_segmentation_loss_cls: 0.0092 2023/11/04 09:56:01 - mmengine - INFO - Iter(train) [425400/480000] base_lr: 8.2546e-06 lr: 3.6216e-06 eta: 1 day, 11:30:50 time: 2.3432 data_time: 0.1508 memory: 26570 grad_norm: 1.8847 loss: 1.2001 grounding_loss_reg: 2.3889 detection_loss_cls: 0.0394 detection_loss_reg: 0.4084 caption_loss_cls: 2.0503 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:00:06 - mmengine - INFO - Iter(train) [425500/480000] base_lr: 8.2319e-06 lr: 3.6157e-06 eta: 1 day, 11:27:15 time: 2.3455 data_time: 0.1508 memory: 25730 grad_norm: 1.8750 loss: 1.1938 grounding_loss_reg: 2.3898 detection_loss_cls: 0.0394 detection_loss_reg: 0.4076 caption_loss_cls: 2.0504 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6818 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:00:06 - mmengine - INFO - Saving checkpoint at 425500 iterations 2023/11/04 10:05:30 - mmengine - INFO - Iter(train) [425600/480000] base_lr: 8.2093e-06 lr: 3.6098e-06 eta: 1 day, 11:26:12 time: 2.3586 data_time: 0.1507 memory: 26570 grad_norm: 1.8743 loss: 1.1961 grounding_loss_reg: 2.3869 detection_loss_cls: 0.0395 detection_loss_reg: 0.4075 caption_loss_cls: 2.0513 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:09:06 - mmengine - INFO - Iter(train) [425700/480000] base_lr: 8.1867e-06 lr: 3.6040e-06 eta: 1 day, 11:21:42 time: 2.3568 data_time: 0.1507 memory: 26570 grad_norm: 1.8765 loss: 1.1950 grounding_loss_reg: 2.3848 detection_loss_cls: 0.0396 detection_loss_reg: 0.4080 caption_loss_cls: 2.0516 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6817 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:13:18 - mmengine - INFO - Iter(train) [425800/480000] base_lr: 8.1642e-06 lr: 3.5981e-06 eta: 1 day, 11:18:21 time: 2.3721 data_time: 0.1507 memory: 25730 grad_norm: 1.8812 loss: 1.1936 grounding_loss_reg: 2.3843 detection_loss_cls: 0.0395 detection_loss_reg: 0.4082 caption_loss_cls: 2.0522 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:16:58 - mmengine - INFO - Iter(train) [425900/480000] base_lr: 8.1417e-06 lr: 3.5923e-06 eta: 1 day, 11:14:00 time: 2.3782 data_time: 0.1508 memory: 25730 grad_norm: 1.8740 loss: 1.1938 grounding_loss_reg: 2.3866 detection_loss_cls: 0.0395 detection_loss_reg: 0.4070 caption_loss_cls: 2.0533 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6818 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:21:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 10:21:04 - mmengine - INFO - Iter(train) [426000/480000] base_lr: 8.1193e-06 lr: 3.5865e-06 eta: 1 day, 11:10:26 time: 2.3878 data_time: 0.1508 memory: 25730 grad_norm: 1.8647 loss: 1.1943 grounding_loss_reg: 2.3858 detection_loss_cls: 0.0395 detection_loss_reg: 0.4075 caption_loss_cls: 2.0527 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6822 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:21:04 - mmengine - INFO - Saving checkpoint at 426000 iterations 2023/11/04 10:26:06 - mmengine - INFO - Iter(train) [426100/480000] base_lr: 8.0969e-06 lr: 3.5807e-06 eta: 1 day, 11:08:37 time: 2.3927 data_time: 0.1503 memory: 26570 grad_norm: 1.8569 loss: 1.1915 grounding_loss_reg: 2.3878 detection_loss_cls: 0.0396 detection_loss_reg: 0.4090 caption_loss_cls: 2.0519 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6813 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:29:57 - mmengine - INFO - Iter(train) [426200/480000] base_lr: 8.0745e-06 lr: 3.5749e-06 eta: 1 day, 11:04:34 time: 2.3948 data_time: 0.1504 memory: 25730 grad_norm: 1.8597 loss: 1.1930 grounding_loss_reg: 2.3895 detection_loss_cls: 0.0397 detection_loss_reg: 0.4094 caption_loss_cls: 2.0495 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6819 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:33:40 - mmengine - INFO - Iter(train) [426300/480000] base_lr: 8.0522e-06 lr: 3.5691e-06 eta: 1 day, 11:00:19 time: 2.3969 data_time: 0.1504 memory: 25730 grad_norm: 1.8545 loss: 1.1935 grounding_loss_reg: 2.3875 detection_loss_cls: 0.0398 detection_loss_reg: 0.4097 caption_loss_cls: 2.0513 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.6814 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:37:29 - mmengine - INFO - Iter(train) [426400/480000] base_lr: 8.0299e-06 lr: 3.5633e-06 eta: 1 day, 10:56:14 time: 2.3967 data_time: 0.1504 memory: 26570 grad_norm: 1.8389 loss: 1.1887 grounding_loss_reg: 2.3896 detection_loss_cls: 0.0397 detection_loss_reg: 0.4095 caption_loss_cls: 2.0499 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6832 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:40:59 - mmengine - INFO - Iter(train) [426500/480000] base_lr: 8.0076e-06 lr: 3.5575e-06 eta: 1 day, 10:51:34 time: 2.3952 data_time: 0.1504 memory: 25730 grad_norm: 1.8449 loss: 1.1896 grounding_loss_reg: 2.3903 detection_loss_cls: 0.0397 detection_loss_reg: 0.4092 caption_loss_cls: 2.0511 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6835 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:40:59 - mmengine - INFO - Saving checkpoint at 426500 iterations 2023/11/04 10:46:35 - mmengine - INFO - Iter(train) [426600/480000] base_lr: 7.9854e-06 lr: 3.5518e-06 eta: 1 day, 10:50:42 time: 2.4089 data_time: 0.1504 memory: 25730 grad_norm: 1.8356 loss: 1.1852 grounding_loss_reg: 2.3910 detection_loss_cls: 0.0398 detection_loss_reg: 0.4092 caption_loss_cls: 2.0502 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6819 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:50:04 - mmengine - INFO - Iter(train) [426700/480000] base_lr: 7.9633e-06 lr: 3.5460e-06 eta: 1 day, 10:46:01 time: 2.4046 data_time: 0.1503 memory: 25730 grad_norm: 1.8434 loss: 1.1874 grounding_loss_reg: 2.3909 detection_loss_cls: 0.0397 detection_loss_reg: 0.4086 caption_loss_cls: 2.0500 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6827 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:54:04 - mmengine - INFO - Iter(train) [426800/480000] base_lr: 7.9411e-06 lr: 3.5403e-06 eta: 1 day, 10:42:14 time: 2.4072 data_time: 0.1504 memory: 25730 grad_norm: 1.8360 loss: 1.1857 grounding_loss_reg: 2.3921 detection_loss_cls: 0.0397 detection_loss_reg: 0.4084 caption_loss_cls: 2.0474 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6827 semantic_segmentation_loss_cls: 0.0092 2023/11/04 10:57:55 - mmengine - INFO - Iter(train) [426900/480000] base_lr: 7.9190e-06 lr: 3.5346e-06 eta: 1 day, 10:38:13 time: 2.4092 data_time: 0.1504 memory: 25730 grad_norm: 1.8373 loss: 1.1877 grounding_loss_reg: 2.3927 detection_loss_cls: 0.0397 detection_loss_reg: 0.4082 caption_loss_cls: 2.0465 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6823 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:01:30 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 11:01:30 - mmengine - INFO - Iter(train) [427000/480000] base_lr: 7.8970e-06 lr: 3.5289e-06 eta: 1 day, 10:33:43 time: 2.4075 data_time: 0.1503 memory: 26570 grad_norm: 1.8388 loss: 1.1863 grounding_loss_reg: 2.3940 detection_loss_cls: 0.0397 detection_loss_reg: 0.4075 caption_loss_cls: 2.0472 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:01:30 - mmengine - INFO - Saving checkpoint at 427000 iterations 2023/11/04 11:06:09 - mmengine - INFO - Iter(train) [427100/480000] base_lr: 7.8750e-06 lr: 3.5231e-06 eta: 1 day, 10:31:06 time: 2.4021 data_time: 0.1506 memory: 26570 grad_norm: 1.8507 loss: 1.1892 grounding_loss_reg: 2.3951 detection_loss_cls: 0.0396 detection_loss_reg: 0.4074 caption_loss_cls: 2.0487 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:09:47 - mmengine - INFO - Iter(train) [427200/480000] base_lr: 7.8530e-06 lr: 3.5175e-06 eta: 1 day, 10:26:42 time: 2.4059 data_time: 0.1506 memory: 25730 grad_norm: 1.8449 loss: 1.1852 grounding_loss_reg: 2.3950 detection_loss_cls: 0.0398 detection_loss_reg: 0.4085 caption_loss_cls: 2.0496 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6828 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:13:18 - mmengine - INFO - Iter(train) [427300/480000] base_lr: 7.8311e-06 lr: 3.5118e-06 eta: 1 day, 10:22:05 time: 2.4050 data_time: 0.1505 memory: 25730 grad_norm: 1.8336 loss: 1.1837 grounding_loss_reg: 2.3975 detection_loss_cls: 0.0397 detection_loss_reg: 0.4077 caption_loss_cls: 2.0504 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6818 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:17:04 - mmengine - INFO - Iter(train) [427400/480000] base_lr: 7.8092e-06 lr: 3.5061e-06 eta: 1 day, 10:17:55 time: 2.4034 data_time: 0.1505 memory: 25730 grad_norm: 1.8275 loss: 1.1772 grounding_loss_reg: 2.3974 detection_loss_cls: 0.0397 detection_loss_reg: 0.4074 caption_loss_cls: 2.0486 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6821 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:20:41 - mmengine - INFO - Iter(train) [427500/480000] base_lr: 7.7874e-06 lr: 3.5004e-06 eta: 1 day, 10:13:29 time: 2.4062 data_time: 0.1505 memory: 25730 grad_norm: 1.8294 loss: 1.1753 grounding_loss_reg: 2.3984 detection_loss_cls: 0.0398 detection_loss_reg: 0.4082 caption_loss_cls: 2.0421 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:20:41 - mmengine - INFO - Saving checkpoint at 427500 iterations 2023/11/04 11:25:27 - mmengine - INFO - Iter(train) [427600/480000] base_lr: 7.7655e-06 lr: 3.4948e-06 eta: 1 day, 10:11:01 time: 2.4045 data_time: 0.1512 memory: 25730 grad_norm: 1.8368 loss: 1.1726 grounding_loss_reg: 2.3990 detection_loss_cls: 0.0396 detection_loss_reg: 0.4076 caption_loss_cls: 2.0412 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6816 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:29:16 - mmengine - INFO - Iter(train) [427700/480000] base_lr: 7.7438e-06 lr: 3.4891e-06 eta: 1 day, 10:06:58 time: 2.4064 data_time: 0.1512 memory: 26570 grad_norm: 1.8308 loss: 1.1658 grounding_loss_reg: 2.3982 detection_loss_cls: 0.0396 detection_loss_reg: 0.4079 caption_loss_cls: 2.0383 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6803 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:32:55 - mmengine - INFO - Iter(train) [427800/480000] base_lr: 7.7220e-06 lr: 3.4835e-06 eta: 1 day, 10:02:35 time: 2.4050 data_time: 0.1512 memory: 25730 grad_norm: 1.8395 loss: 1.1652 grounding_loss_reg: 2.3985 detection_loss_cls: 0.0397 detection_loss_reg: 0.4081 caption_loss_cls: 2.0373 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6812 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:36:52 - mmengine - INFO - Iter(train) [427900/480000] base_lr: 7.7004e-06 lr: 3.4779e-06 eta: 1 day, 9:58:45 time: 2.4103 data_time: 0.1512 memory: 26570 grad_norm: 1.8427 loss: 1.1669 grounding_loss_reg: 2.3985 detection_loss_cls: 0.0397 detection_loss_reg: 0.4085 caption_loss_cls: 2.0376 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6809 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:40:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 11:40:24 - mmengine - INFO - Iter(train) [428000/480000] base_lr: 7.6787e-06 lr: 3.4723e-06 eta: 1 day, 9:54:11 time: 2.4085 data_time: 0.1512 memory: 25730 grad_norm: 1.8478 loss: 1.1658 grounding_loss_reg: 2.3964 detection_loss_cls: 0.0396 detection_loss_reg: 0.4080 caption_loss_cls: 2.0371 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6812 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:40:24 - mmengine - INFO - Saving checkpoint at 428000 iterations 2023/11/04 11:45:33 - mmengine - INFO - Iter(train) [428100/480000] base_lr: 7.6571e-06 lr: 3.4667e-06 eta: 1 day, 9:52:21 time: 2.4099 data_time: 0.1510 memory: 26570 grad_norm: 1.8391 loss: 1.1636 grounding_loss_reg: 2.3987 detection_loss_cls: 0.0397 detection_loss_reg: 0.4081 caption_loss_cls: 2.0381 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6817 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:48:55 - mmengine - INFO - Iter(train) [428200/480000] base_lr: 7.6355e-06 lr: 3.4611e-06 eta: 1 day, 9:47:30 time: 2.4069 data_time: 0.1510 memory: 25730 grad_norm: 1.8370 loss: 1.1617 grounding_loss_reg: 2.3979 detection_loss_cls: 0.0398 detection_loss_reg: 0.4089 caption_loss_cls: 2.0407 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6809 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:52:37 - mmengine - INFO - Iter(train) [428300/480000] base_lr: 7.6140e-06 lr: 3.4555e-06 eta: 1 day, 9:43:14 time: 2.4078 data_time: 0.1510 memory: 26570 grad_norm: 1.8260 loss: 1.1569 grounding_loss_reg: 2.3982 detection_loss_cls: 0.0399 detection_loss_reg: 0.4091 caption_loss_cls: 2.0436 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.6808 semantic_segmentation_loss_cls: 0.0092 2023/11/04 11:56:39 - mmengine - INFO - Iter(train) [428400/480000] base_lr: 7.5925e-06 lr: 3.4499e-06 eta: 1 day, 9:39:31 time: 2.4104 data_time: 0.1510 memory: 25730 grad_norm: 1.8123 loss: 1.1515 grounding_loss_reg: 2.3994 detection_loss_cls: 0.0398 detection_loss_reg: 0.4095 caption_loss_cls: 2.0426 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2696 instance_segmentation_loss_poly: 0.6816 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:00:26 - mmengine - INFO - Iter(train) [428500/480000] base_lr: 7.5711e-06 lr: 3.4443e-06 eta: 1 day, 9:35:24 time: 2.4072 data_time: 0.1510 memory: 26570 grad_norm: 1.8229 loss: 1.1606 grounding_loss_reg: 2.3970 detection_loss_cls: 0.0401 detection_loss_reg: 0.4106 caption_loss_cls: 2.0439 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6818 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:00:26 - mmengine - INFO - Saving checkpoint at 428500 iterations 2023/11/04 12:05:50 - mmengine - INFO - Iter(train) [428600/480000] base_lr: 7.5497e-06 lr: 3.4388e-06 eta: 1 day, 9:33:54 time: 2.4133 data_time: 0.1510 memory: 25730 grad_norm: 1.8176 loss: 1.1557 grounding_loss_reg: 2.3956 detection_loss_cls: 0.0400 detection_loss_reg: 0.4111 caption_loss_cls: 2.0469 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6830 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:09:30 - mmengine - INFO - Iter(train) [428700/480000] base_lr: 7.5283e-06 lr: 3.4333e-06 eta: 1 day, 9:29:34 time: 2.4161 data_time: 0.1510 memory: 26570 grad_norm: 1.8207 loss: 1.1645 grounding_loss_reg: 2.3975 detection_loss_cls: 0.0401 detection_loss_reg: 0.4120 caption_loss_cls: 2.0479 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6834 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:13:22 - mmengine - INFO - Iter(train) [428800/480000] base_lr: 7.5070e-06 lr: 3.4277e-06 eta: 1 day, 9:25:33 time: 2.4232 data_time: 0.1511 memory: 26570 grad_norm: 1.8112 loss: 1.1692 grounding_loss_reg: 2.3979 detection_loss_cls: 0.0401 detection_loss_reg: 0.4120 caption_loss_cls: 2.0512 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6836 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:17:24 - mmengine - INFO - Iter(train) [428900/480000] base_lr: 7.4857e-06 lr: 3.4222e-06 eta: 1 day, 9:21:50 time: 2.4296 data_time: 0.1511 memory: 26570 grad_norm: 1.8021 loss: 1.1681 grounding_loss_reg: 2.3991 detection_loss_cls: 0.0402 detection_loss_reg: 0.4130 caption_loss_cls: 2.0485 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6833 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:21:18 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 12:21:18 - mmengine - INFO - Iter(train) [429000/480000] base_lr: 7.4644e-06 lr: 3.4167e-06 eta: 1 day, 9:17:54 time: 2.4262 data_time: 0.1511 memory: 26570 grad_norm: 1.7963 loss: 1.1720 grounding_loss_reg: 2.3967 detection_loss_cls: 0.0403 detection_loss_reg: 0.4121 caption_loss_cls: 2.0518 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6833 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:21:18 - mmengine - INFO - Saving checkpoint at 429000 iterations 2023/11/04 12:26:32 - mmengine - INFO - Iter(train) [429100/480000] base_lr: 7.4432e-06 lr: 3.4112e-06 eta: 1 day, 9:16:03 time: 2.4296 data_time: 0.1508 memory: 25730 grad_norm: 1.7925 loss: 1.1676 grounding_loss_reg: 2.3963 detection_loss_cls: 0.0403 detection_loss_reg: 0.4114 caption_loss_cls: 2.0521 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6846 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:30:19 - mmengine - INFO - Iter(train) [429200/480000] base_lr: 7.4220e-06 lr: 3.4057e-06 eta: 1 day, 9:11:55 time: 2.4327 data_time: 0.1508 memory: 25730 grad_norm: 1.7853 loss: 1.1686 grounding_loss_reg: 2.3955 detection_loss_cls: 0.0403 detection_loss_reg: 0.4111 caption_loss_cls: 2.0520 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.6839 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:33:52 - mmengine - INFO - Iter(train) [429300/480000] base_lr: 7.4009e-06 lr: 3.4002e-06 eta: 1 day, 9:07:24 time: 2.4268 data_time: 0.1509 memory: 26570 grad_norm: 1.7849 loss: 1.1730 grounding_loss_reg: 2.3954 detection_loss_cls: 0.0403 detection_loss_reg: 0.4122 caption_loss_cls: 2.0531 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6855 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:37:41 - mmengine - INFO - Iter(train) [429400/480000] base_lr: 7.3798e-06 lr: 3.3948e-06 eta: 1 day, 9:03:19 time: 2.4242 data_time: 0.1509 memory: 25730 grad_norm: 1.7904 loss: 1.1722 grounding_loss_reg: 2.3943 detection_loss_cls: 0.0403 detection_loss_reg: 0.4129 caption_loss_cls: 2.0526 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.6861 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:41:32 - mmengine - INFO - Iter(train) [429500/480000] base_lr: 7.3588e-06 lr: 3.3893e-06 eta: 1 day, 8:59:17 time: 2.4207 data_time: 0.1509 memory: 25730 grad_norm: 1.8014 loss: 1.1801 grounding_loss_reg: 2.3939 detection_loss_cls: 0.0404 detection_loss_reg: 0.4134 caption_loss_cls: 2.0526 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2713 instance_segmentation_loss_poly: 0.6873 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:41:32 - mmengine - INFO - Saving checkpoint at 429500 iterations 2023/11/04 12:46:15 - mmengine - INFO - Iter(train) [429600/480000] base_lr: 7.3378e-06 lr: 3.3839e-06 eta: 1 day, 8:56:36 time: 2.4104 data_time: 0.1512 memory: 26570 grad_norm: 1.8032 loss: 1.1782 grounding_loss_reg: 2.3944 detection_loss_cls: 0.0403 detection_loss_reg: 0.4141 caption_loss_cls: 2.0535 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6865 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:49:47 - mmengine - INFO - Iter(train) [429700/480000] base_lr: 7.3168e-06 lr: 3.3784e-06 eta: 1 day, 8:52:05 time: 2.4096 data_time: 0.1512 memory: 26570 grad_norm: 1.8109 loss: 1.1839 grounding_loss_reg: 2.3973 detection_loss_cls: 0.0403 detection_loss_reg: 0.4151 caption_loss_cls: 2.0537 instance_segmentation_loss_cls: 0.0268 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6865 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:53:46 - mmengine - INFO - Iter(train) [429800/480000] base_lr: 7.2959e-06 lr: 3.3730e-06 eta: 1 day, 8:48:16 time: 2.4063 data_time: 0.1511 memory: 26570 grad_norm: 1.8043 loss: 1.1869 grounding_loss_reg: 2.3984 detection_loss_cls: 0.0403 detection_loss_reg: 0.4149 caption_loss_cls: 2.0552 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6860 semantic_segmentation_loss_cls: 0.0092 2023/11/04 12:58:17 - mmengine - INFO - Iter(train) [429900/480000] base_lr: 7.2750e-06 lr: 3.3676e-06 eta: 1 day, 8:45:15 time: 2.4189 data_time: 0.1512 memory: 26570 grad_norm: 1.8024 loss: 1.1799 grounding_loss_reg: 2.3959 detection_loss_cls: 0.0402 detection_loss_reg: 0.4147 caption_loss_cls: 2.0547 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.6867 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:02:16 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 13:02:16 - mmengine - INFO - Iter(train) [430000/480000] base_lr: 7.2541e-06 lr: 3.3622e-06 eta: 1 day, 8:41:25 time: 2.4172 data_time: 0.1512 memory: 26570 grad_norm: 1.7815 loss: 1.1723 grounding_loss_reg: 2.3967 detection_loss_cls: 0.0401 detection_loss_reg: 0.4145 caption_loss_cls: 2.0523 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6858 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:02:16 - mmengine - INFO - Saving checkpoint at 430000 iterations 2023/11/04 13:08:14 - mmengine - INFO - Evaluating bbox... 2023/11/04 13:09:20 - mmengine - INFO - bbox_mAP_copypaste: 0.530 0.708 0.580 0.382 0.574 0.684 2023/11/04 13:09:20 - mmengine - INFO - Evaluating segm... 2023/11/04 13:10:35 - mmengine - INFO - segm_mAP_copypaste: 0.355 0.620 0.356 0.220 0.401 0.545 2023/11/04 13:11:59 - mmengine - INFO - Evaluating bbox... 2023/11/04 13:13:06 - mmengine - INFO - bbox_mAP_copypaste: 0.531 0.708 0.580 0.382 0.575 0.685 2023/11/04 13:16:15 - mmengine - INFO - per class results: 2023/11/04 13:16:15 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.9 | 89.69 | | building | 82.66 | 92.77 | | sky | 93.48 | 97.62 | | floor | 82.98 | 89.9 | | tree | 74.43 | 87.53 | | ceiling | 84.67 | 93.0 | | road | 85.9 | 91.21 | | bed | 89.88 | 95.75 | | windowpane | 64.16 | 80.45 | | grass | 67.94 | 82.16 | | cabinet | 62.86 | 74.43 | | sidewalk | 68.8 | 79.74 | | person | 81.93 | 92.33 | | earth | 44.68 | 58.88 | | door | 54.85 | 69.57 | | table | 66.16 | 81.38 | | mountain | 60.94 | 76.11 | | plant | 54.84 | 65.28 | | curtain | 75.11 | 88.24 | | chair | 60.02 | 73.06 | | car | 83.31 | 92.66 | | water | 60.63 | 74.08 | | painting | 74.93 | 87.18 | | sofa | 74.83 | 86.83 | | shelf | 46.09 | 63.18 | | house | 37.15 | 51.12 | | sea | 67.68 | 88.34 | | mirror | 69.47 | 79.4 | | rug | 67.27 | 77.67 | | field | 30.17 | 48.51 | | armchair | 52.44 | 72.76 | | seat | 66.8 | 85.22 | | fence | 43.4 | 59.17 | | desk | 56.49 | 76.13 | | rock | 45.21 | 62.54 | | wardrobe | 56.48 | 67.47 | | lamp | 61.95 | 75.58 | | bathtub | 84.76 | 88.25 | | railing | 33.84 | 45.61 | | cushion | 61.69 | 72.45 | | base | 24.17 | 34.04 | | box | 31.83 | 41.98 | | column | 47.76 | 58.83 | | signboard | 37.87 | 51.42 | | chest of drawers | 40.78 | 64.84 | | counter | 23.83 | 29.13 | | sand | 57.88 | 77.2 | | sink | 77.12 | 86.2 | | skyscraper | 48.54 | 55.15 | | fireplace | 72.12 | 86.99 | | refrigerator | 77.92 | 88.24 | | grandstand | 49.42 | 78.21 | | path | 26.45 | 40.13 | | stairs | 38.32 | 48.61 | | runway | 74.42 | 93.91 | | case | 54.4 | 71.01 | | pool table | 89.29 | 96.13 | | pillow | 58.64 | 72.72 | | screen door | 73.13 | 76.18 | | stairway | 32.43 | 38.16 | | river | 15.68 | 24.18 | | bridge | 65.43 | 79.22 | | bookcase | 38.6 | 51.41 | | blind | 40.25 | 43.7 | | coffee table | 63.22 | 79.07 | | toilet | 87.86 | 91.84 | | flower | 35.58 | 50.03 | | book | 46.15 | 69.79 | | hill | 13.65 | 21.86 | | bench | 52.87 | 74.13 | | countertop | 62.46 | 72.45 | | stove | 75.55 | 82.97 | | palm | 49.79 | 68.6 | | kitchen island | 40.99 | 82.62 | | computer | 75.51 | 87.6 | | swivel chair | 44.68 | 57.66 | | boat | 54.43 | 65.78 | | bar | 39.98 | 52.71 | | arcade machine | 74.17 | 81.52 | | hovel | 45.45 | 52.73 | | bus | 92.68 | 95.59 | | towel | 64.98 | 78.57 | | light | 49.85 | 58.13 | | truck | 45.45 | 62.71 | | tower | 47.75 | 71.48 | | chandelier | 60.19 | 72.44 | | awning | 26.13 | 31.22 | | streetlight | 33.49 | 42.95 | | booth | 36.91 | 46.52 | | television receiver | 69.4 | 86.31 | | airplane | 65.81 | 73.71 | | dirt track | 2.95 | 14.72 | | apparel | 40.56 | 58.16 | | pole | 28.62 | 42.4 | | land | 0.61 | 0.78 | | bannister | 14.36 | 21.05 | | escalator | 28.27 | 33.01 | | ottoman | 51.05 | 71.0 | | bottle | 30.89 | 40.34 | | buffet | 45.24 | 51.84 | | poster | 33.59 | 44.1 | | stage | 11.68 | 17.93 | | van | 30.48 | 36.24 | | ship | 65.56 | 83.34 | | fountain | 32.41 | 34.07 | | conveyer belt | 73.18 | 87.02 | | canopy | 25.13 | 33.36 | | washer | 72.99 | 75.22 | | plaything | 26.42 | 35.22 | | swimming pool | 81.47 | 91.09 | | stool | 50.55 | 64.89 | | barrel | 55.82 | 64.84 | | basket | 28.81 | 43.16 | | waterfall | 70.33 | 78.23 | | tent | 90.84 | 97.18 | | bag | 24.6 | 30.17 | | minibike | 73.61 | 88.05 | | cradle | 78.55 | 92.66 | | oven | 47.78 | 62.71 | | ball | 51.18 | 60.6 | | food | 51.29 | 56.18 | | step | 6.62 | 8.29 | | tank | 44.59 | 60.37 | | trade name | 22.0 | 23.96 | | microwave | 87.56 | 94.32 | | pot | 56.02 | 64.52 | | animal | 66.97 | 71.0 | | bicycle | 60.59 | 81.09 | | lake | 39.67 | 63.79 | | dishwasher | 72.32 | 78.4 | | screen | 71.18 | 82.62 | | blanket | 17.34 | 20.7 | | sculpture | 72.95 | 83.53 | | hood | 67.81 | 83.35 | | sconce | 44.42 | 55.93 | | vase | 43.11 | 61.98 | | traffic light | 37.61 | 51.04 | | tray | 15.95 | 28.82 | | ashcan | 42.5 | 58.85 | | fan | 60.2 | 72.54 | | pier | 36.86 | 40.18 | | crt screen | 8.91 | 16.5 | | plate | 56.82 | 70.49 | | monitor | 23.06 | 25.06 | | bulletin board | 47.06 | 53.93 | | shower | 3.88 | 5.57 | | radiator | 58.14 | 68.35 | | glass | 18.48 | 19.92 | | clock | 28.19 | 33.74 | | flag | 64.0 | 71.73 | +---------------------+-------+-------+ 2023/11/04 13:16:38 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.1608 data_time: 0.0105 memory: 27851 2023/11/04 13:16:58 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5310 coco/bbox_mAP_50: 0.7080 coco/bbox_mAP_75: 0.5800 coco/bbox_mAP_s: 0.3820 coco/bbox_mAP_m: 0.5750 coco/bbox_mAP_l: 0.6850 coco/segm_mAP: 0.3550 coco/segm_mAP_50: 0.6200 coco/segm_mAP_75: 0.3560 coco/segm_mAP_s: 0.2200 coco/segm_mAP_m: 0.4010 coco/segm_mAP_l: 0.5450 Bleu_1: 0.7760 Bleu_2: 0.6140 Bleu_3: 0.4737 Bleu_4: 0.3623 METEOR: 0.2897 ROUGE_L: 0.5795 CIDEr: 1.2169 SPICE: 0.2176 aAcc: 84.3200 mIoU: 52.3600 mAcc: 63.8100 visual-grounding/miou: 0.8172 visual-grounding/acc: 0.8819 data_time: 0.0018 time: 0.2303 2023/11/04 13:20:27 - mmengine - INFO - Iter(train) [430100/480000] base_lr: 7.2333e-06 lr: 3.3568e-06 eta: 1 day, 8:36:56 time: 2.3950 data_time: 0.1353 memory: 26570 grad_norm: 1.7943 loss: 1.1733 grounding_loss_reg: 2.3942 detection_loss_cls: 0.0403 detection_loss_reg: 0.4147 caption_loss_cls: 2.0567 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6854 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:24:44 - mmengine - INFO - Iter(train) [430200/480000] base_lr: 7.2125e-06 lr: 3.3514e-06 eta: 1 day, 8:33:33 time: 2.4017 data_time: 0.1353 memory: 26570 grad_norm: 1.7856 loss: 1.1713 grounding_loss_reg: 2.3954 detection_loss_cls: 0.0402 detection_loss_reg: 0.4151 caption_loss_cls: 2.0579 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6837 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:28:22 - mmengine - INFO - Iter(train) [430300/480000] base_lr: 7.1918e-06 lr: 3.3460e-06 eta: 1 day, 8:29:12 time: 2.4003 data_time: 0.1353 memory: 25730 grad_norm: 1.7835 loss: 1.1734 grounding_loss_reg: 2.3946 detection_loss_cls: 0.0403 detection_loss_reg: 0.4155 caption_loss_cls: 2.0580 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.6854 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:31:52 - mmengine - INFO - Iter(train) [430400/480000] base_lr: 7.1711e-06 lr: 3.3407e-06 eta: 1 day, 8:24:38 time: 2.3954 data_time: 0.1353 memory: 25730 grad_norm: 1.7947 loss: 1.1778 grounding_loss_reg: 2.3947 detection_loss_cls: 0.0403 detection_loss_reg: 0.4152 caption_loss_cls: 2.0587 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.6854 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:35:06 - mmengine - INFO - Iter(train) [430500/480000] base_lr: 7.1505e-06 lr: 3.3353e-06 eta: 1 day, 8:19:42 time: 2.3915 data_time: 0.1353 memory: 26570 grad_norm: 1.8037 loss: 1.1776 grounding_loss_reg: 2.3955 detection_loss_cls: 0.0402 detection_loss_reg: 0.4150 caption_loss_cls: 2.0625 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6860 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:35:06 - mmengine - INFO - Saving checkpoint at 430500 iterations 2023/11/04 13:40:03 - mmengine - INFO - Iter(train) [430600/480000] base_lr: 7.1299e-06 lr: 3.3300e-06 eta: 1 day, 8:17:18 time: 2.3818 data_time: 0.1356 memory: 25730 grad_norm: 1.7976 loss: 1.1817 grounding_loss_reg: 2.3991 detection_loss_cls: 0.0402 detection_loss_reg: 0.4148 caption_loss_cls: 2.0630 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6847 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:43:46 - mmengine - INFO - Iter(train) [430700/480000] base_lr: 7.1093e-06 lr: 3.3246e-06 eta: 1 day, 8:13:04 time: 2.3852 data_time: 0.1356 memory: 26570 grad_norm: 1.7846 loss: 1.1779 grounding_loss_reg: 2.3969 detection_loss_cls: 0.0401 detection_loss_reg: 0.4137 caption_loss_cls: 2.0641 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6842 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:47:21 - mmengine - INFO - Iter(train) [430800/480000] base_lr: 7.0888e-06 lr: 3.3193e-06 eta: 1 day, 8:08:40 time: 2.3792 data_time: 0.1356 memory: 25730 grad_norm: 1.7907 loss: 1.1786 grounding_loss_reg: 2.3974 detection_loss_cls: 0.0401 detection_loss_reg: 0.4143 caption_loss_cls: 2.0608 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.6844 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:50:46 - mmengine - INFO - Iter(train) [430900/480000] base_lr: 7.0683e-06 lr: 3.3140e-06 eta: 1 day, 8:04:00 time: 2.3726 data_time: 0.1355 memory: 25730 grad_norm: 1.7896 loss: 1.1739 grounding_loss_reg: 2.3958 detection_loss_cls: 0.0400 detection_loss_reg: 0.4137 caption_loss_cls: 2.0597 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.6853 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:54:33 - mmengine - INFO - Exp name: univision_joint_all_huge_20231103_141619 2023/11/04 13:54:33 - mmengine - INFO - Iter(train) [431000/480000] base_lr: 7.0479e-06 lr: 3.3087e-06 eta: 1 day, 7:59:54 time: 2.3757 data_time: 0.1355 memory: 26570 grad_norm: 1.7920 loss: 1.1751 grounding_loss_reg: 2.3951 detection_loss_cls: 0.0400 detection_loss_reg: 0.4138 caption_loss_cls: 2.0590 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.6855 semantic_segmentation_loss_cls: 0.0092 2023/11/04 13:54:33 - mmengine - INFO - Saving checkpoint at 431000 iterations 2023/11/04 13:59:25 - mmengine - INFO - Iter(train) [431100/480000] base_lr: 7.0274e-06 lr: 3.3034e-06 eta: 1 day, 7:57:19 time: 2.3787 data_time: 0.1353 memory: 25730 grad_norm: 1.7804 loss: 1.1734 grounding_loss_reg: 2.3974 detection_loss_cls: 0.0401 detection_loss_reg: 0.4144 caption_loss_cls: 2.0586 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6863 semantic_segmentation_loss_cls: 0.0092 2023/11/04 14:02:44 - mmengine - INFO - Iter(train) [431200/480000] base_lr: 7.0071e-06 lr: 3.2981e-06 eta: 1 day, 7:52:32 time: 2.3738 data_time: 0.1353 memory: 25730 grad_norm: 1.7781 loss: 1.1736 grounding_loss_reg: 2.3987 detection_loss_cls: 0.0400 detection_loss_reg: 0.4141 caption_loss_cls: 2.0572 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6864 semantic_segmentation_loss_cls: 0.0092 2023/11/04 14:06:37 - mmengine - INFO - Iter(train) [431300/480000] base_lr: 6.9868e-06 lr: 3.2929e-06 eta: 1 day, 7:48:34 time: 2.3795 data_time: 0.1354 memory: 25730 grad_norm: 1.7860 loss: 1.1713 grounding_loss_reg: 2.3962 detection_loss_cls: 0.0400 detection_loss_reg: 0.4136 caption_loss_cls: 2.0581 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.6867 semantic_segmentation_loss_cls: 0.0092 2023/11/04 14:10:21 - mmengine - INFO - Iter(train) [431400/480000] base_lr: 6.9665e-06 lr: 3.2876e-06 eta: 1 day, 7:44:23 time: 2.3788 data_time: 0.1353 memory: 26570 grad_norm: 1.7858 loss: 1.1763 grounding_loss_reg: 2.3956 detection_loss_cls: 0.0400 detection_loss_reg: 0.4136 caption_loss_cls: 2.0604 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.6873 semantic_segmentation_loss_cls: 0.0092 2023/11/04 14:14:17 - mmengine - INFO - Iter(train) [431500/480000] base_lr: 6.9462e-06 lr: 3.2824e-06 eta: 1 day, 7:40:30 time: 2.3838 data_time: 0.1353 memory: 26570 grad_norm: 1.7909 loss: 1.1799 grounding_loss_reg: 2.3956 detection_loss_cls: 0.0399 detection_loss_reg: 0.4129 caption_loss_cls: 2.0607 instance_segmentation_loss_cls: 0.0271 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.6877 semantic_segmentation_loss_cls: 0.0092 2023/11/04 14:14:17 - mmengine - INFO - Saving checkpoint at 431500 iterations 2023/11/05 05:02:44 - mmengine - INFO - Iter(train) [431600/480000] base_lr: 6.9260e-06 lr: 3.2771e-06 eta: 19:13:24 time: 2.3482 data_time: 0.1179 memory: 26576 grad_norm: 1.7862 loss: 1.1811 grounding_loss_reg: 2.3962 detection_loss_cls: 0.0399 detection_loss_reg: 0.4130 caption_loss_cls: 2.0606 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.6872 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:06:08 - mmengine - INFO - Iter(train) [431700/480000] base_lr: 6.9059e-06 lr: 3.2719e-06 eta: 23:19:58 time: 2.3420 data_time: 0.1178 memory: 25736 grad_norm: 1.7863 loss: 1.1767 grounding_loss_reg: 2.3923 detection_loss_cls: 0.0400 detection_loss_reg: 0.4130 caption_loss_cls: 2.0613 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6864 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:08:45 - mmengine - INFO - Iter(train) [431800/480000] base_lr: 6.8857e-06 lr: 3.2667e-06 eta: 22:29:30 time: 2.3264 data_time: 0.1178 memory: 25736 grad_norm: 1.7837 loss: 1.1754 grounding_loss_reg: 2.3924 detection_loss_cls: 0.0399 detection_loss_reg: 0.4124 caption_loss_cls: 2.0620 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.6866 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:11:21 - mmengine - INFO - Iter(train) [431900/480000] base_lr: 6.8656e-06 lr: 3.2615e-06 eta: 22:04:03 time: 2.3063 data_time: 0.1178 memory: 25736 grad_norm: 1.7855 loss: 1.1739 grounding_loss_reg: 2.3931 detection_loss_cls: 0.0400 detection_loss_reg: 0.4125 caption_loss_cls: 2.0626 instance_segmentation_loss_cls: 0.0269 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.6862 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:14:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 05:14:14 - mmengine - INFO - Iter(train) [432000/480000] base_lr: 6.8456e-06 lr: 3.2563e-06 eta: 22:13:03 time: 2.2965 data_time: 0.1178 memory: 25736 grad_norm: 1.7793 loss: 1.1697 grounding_loss_reg: 2.3902 detection_loss_cls: 0.0399 detection_loss_reg: 0.4125 caption_loss_cls: 2.0626 instance_segmentation_loss_cls: 0.0270 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.6861 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:14:14 - mmengine - INFO - Saving checkpoint at 432000 iterations 2023/11/05 05:18:11 - mmengine - INFO - Iter(train) [432100/480000] base_lr: 6.8256e-06 lr: 3.2511e-06 eta: 23:44:14 time: 2.2785 data_time: 0.1187 memory: 25736 grad_norm: 1.8003 loss: 1.1721 grounding_loss_reg: 2.3910 detection_loss_cls: 0.0397 detection_loss_reg: 0.4114 caption_loss_cls: 2.0612 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6831 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:21:20 - mmengine - INFO - Iter(train) [432200/480000] base_lr: 6.8056e-06 lr: 3.2459e-06 eta: 23:53:11 time: 2.2754 data_time: 0.1187 memory: 25736 grad_norm: 1.7986 loss: 1.1666 grounding_loss_reg: 2.3910 detection_loss_cls: 0.0397 detection_loss_reg: 0.4115 caption_loss_cls: 2.0615 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6823 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:24:20 - mmengine - INFO - Iter(train) [432300/480000] base_lr: 6.7857e-06 lr: 3.2407e-06 eta: 23:50:14 time: 2.2648 data_time: 0.1187 memory: 25736 grad_norm: 1.8099 loss: 1.1759 grounding_loss_reg: 2.3909 detection_loss_cls: 0.0398 detection_loss_reg: 0.4121 caption_loss_cls: 2.0626 instance_segmentation_loss_cls: 0.0267 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6828 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:27:18 - mmengine - INFO - Iter(train) [432400/480000] base_lr: 6.7658e-06 lr: 3.2356e-06 eta: 23:45:33 time: 2.2489 data_time: 0.1187 memory: 26576 grad_norm: 1.8193 loss: 1.1774 grounding_loss_reg: 2.3913 detection_loss_cls: 0.0397 detection_loss_reg: 0.4107 caption_loss_cls: 2.0610 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.6814 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:30:38 - mmengine - INFO - Iter(train) [432500/480000] base_lr: 6.7460e-06 lr: 3.2304e-06 eta: 23:57:50 time: 2.2418 data_time: 0.1187 memory: 26576 grad_norm: 1.8155 loss: 1.1697 grounding_loss_reg: 2.3898 detection_loss_cls: 0.0396 detection_loss_reg: 0.4095 caption_loss_cls: 2.0612 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.6826 semantic_segmentation_loss_cls: 0.0093 2023/11/05 05:30:38 - mmengine - INFO - Saving checkpoint at 432500 iterations 2023/11/05 05:34:47 - mmengine - INFO - Iter(train) [432600/480000] base_lr: 6.7262e-06 lr: 3.2253e-06 eta: 1 day, 0:43:09 time: 2.2230 data_time: 0.1178 memory: 26576 grad_norm: 1.8191 loss: 1.1694 grounding_loss_reg: 2.3919 detection_loss_cls: 0.0396 detection_loss_reg: 0.4099 caption_loss_cls: 2.0605 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.6823 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:37:58 - mmengine - INFO - Iter(train) [432700/480000] base_lr: 6.7064e-06 lr: 3.2202e-06 eta: 1 day, 0:42:40 time: 2.2160 data_time: 0.1178 memory: 25736 grad_norm: 1.8190 loss: 1.1655 grounding_loss_reg: 2.3934 detection_loss_cls: 0.0396 detection_loss_reg: 0.4098 caption_loss_cls: 2.0623 instance_segmentation_loss_cls: 0.0266 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6830 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:41:18 - mmengine - INFO - Iter(train) [432800/480000] base_lr: 6.6867e-06 lr: 3.2151e-06 eta: 1 day, 0:46:31 time: 2.2081 data_time: 0.1178 memory: 25736 grad_norm: 1.8070 loss: 1.1581 grounding_loss_reg: 2.3919 detection_loss_cls: 0.0391 detection_loss_reg: 0.4074 caption_loss_cls: 2.0612 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.6828 semantic_segmentation_loss_cls: 0.0092 2023/11/05 05:44:41 - mmengine - INFO - Iter(train) [432900/480000] base_lr: 6.6670e-06 lr: 3.2100e-06 eta: 1 day, 0:51:08 time: 2.1982 data_time: 0.1177 memory: 25736 grad_norm: 1.8219 loss: 1.1657 grounding_loss_reg: 2.3915 detection_loss_cls: 0.0391 detection_loss_reg: 0.4079 caption_loss_cls: 2.0655 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.6829 semantic_segmentation_loss_cls: 0.0093 2023/11/05 05:48:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 05:48:25 - mmengine - INFO - Iter(train) [433000/480000] base_lr: 6.6474e-06 lr: 3.2049e-06 eta: 1 day, 1:05:33 time: 2.1955 data_time: 0.1177 memory: 25736 grad_norm: 1.8304 loss: 1.1609 grounding_loss_reg: 2.3902 detection_loss_cls: 0.0391 detection_loss_reg: 0.4077 caption_loss_cls: 2.0655 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.6832 semantic_segmentation_loss_cls: 0.0093 2023/11/05 05:48:25 - mmengine - INFO - Saving checkpoint at 433000 iterations 2023/11/05 05:52:59 - mmengine - INFO - Iter(train) [433100/480000] base_lr: 6.6278e-06 lr: 3.1998e-06 eta: 1 day, 1:42:38 time: 2.1858 data_time: 0.1175 memory: 25736 grad_norm: 1.8358 loss: 1.1634 grounding_loss_reg: 2.3909 detection_loss_cls: 0.0393 detection_loss_reg: 0.4081 caption_loss_cls: 2.0641 instance_segmentation_loss_cls: 0.0264 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.6833 semantic_segmentation_loss_cls: 0.0093 2023/11/05 05:56:26 - mmengine - INFO - Iter(train) [433200/480000] base_lr: 6.6082e-06 lr: 3.1947e-06 eta: 1 day, 1:43:21 time: 2.1806 data_time: 0.1174 memory: 26576 grad_norm: 1.8404 loss: 1.1651 grounding_loss_reg: 2.3923 detection_loss_cls: 0.0392 detection_loss_reg: 0.4083 caption_loss_cls: 2.0666 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.6840 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:00:16 - mmengine - INFO - Iter(train) [433300/480000] base_lr: 6.5887e-06 lr: 3.1897e-06 eta: 1 day, 1:53:54 time: 2.1849 data_time: 0.1174 memory: 25736 grad_norm: 1.8407 loss: 1.1552 grounding_loss_reg: 2.3900 detection_loss_cls: 0.0391 detection_loss_reg: 0.4073 caption_loss_cls: 2.0651 instance_segmentation_loss_cls: 0.0265 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.6824 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:04:05 - mmengine - INFO - Iter(train) [433400/480000] base_lr: 6.5692e-06 lr: 3.1846e-06 eta: 1 day, 2:02:35 time: 2.1848 data_time: 0.1174 memory: 25736 grad_norm: 1.8356 loss: 1.1490 grounding_loss_reg: 2.3883 detection_loss_cls: 0.0391 detection_loss_reg: 0.4081 caption_loss_cls: 2.0655 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.6792 semantic_segmentation_loss_cls: 0.0092 2023/11/05 06:07:45 - mmengine - INFO - Iter(train) [433500/480000] base_lr: 6.5498e-06 lr: 3.1796e-06 eta: 1 day, 2:06:27 time: 2.1821 data_time: 0.1174 memory: 25736 grad_norm: 1.8387 loss: 1.1439 grounding_loss_reg: 2.3883 detection_loss_cls: 0.0391 detection_loss_reg: 0.4077 caption_loss_cls: 2.0652 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.6789 semantic_segmentation_loss_cls: 0.0092 2023/11/05 06:07:45 - mmengine - INFO - Saving checkpoint at 433500 iterations 2023/11/05 06:12:29 - mmengine - INFO - Iter(train) [433600/480000] base_lr: 6.5304e-06 lr: 3.1745e-06 eta: 1 day, 2:33:13 time: 2.1824 data_time: 0.1164 memory: 25736 grad_norm: 1.8298 loss: 1.1373 grounding_loss_reg: 2.3870 detection_loss_cls: 0.0390 detection_loss_reg: 0.4079 caption_loss_cls: 2.0654 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6783 semantic_segmentation_loss_cls: 0.0092 2023/11/05 06:16:06 - mmengine - INFO - Iter(train) [433700/480000] base_lr: 6.5110e-06 lr: 3.1695e-06 eta: 1 day, 2:33:35 time: 2.1835 data_time: 0.1164 memory: 26576 grad_norm: 1.8224 loss: 1.1357 grounding_loss_reg: 2.3877 detection_loss_cls: 0.0392 detection_loss_reg: 0.4087 caption_loss_cls: 2.0667 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2666 instance_segmentation_loss_poly: 0.6769 semantic_segmentation_loss_cls: 0.0092 2023/11/05 06:19:20 - mmengine - INFO - Iter(train) [433800/480000] base_lr: 6.4917e-06 lr: 3.1645e-06 eta: 1 day, 2:25:59 time: 2.1722 data_time: 0.1163 memory: 25736 grad_norm: 1.8327 loss: 1.1369 grounding_loss_reg: 2.3881 detection_loss_cls: 0.0392 detection_loss_reg: 0.4087 caption_loss_cls: 2.0658 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.6784 semantic_segmentation_loss_cls: 0.0092 2023/11/05 06:22:36 - mmengine - INFO - Iter(train) [433900/480000] base_lr: 6.4725e-06 lr: 3.1595e-06 eta: 1 day, 2:19:25 time: 2.1536 data_time: 0.1163 memory: 26576 grad_norm: 1.8389 loss: 1.1425 grounding_loss_reg: 2.3860 detection_loss_cls: 0.0392 detection_loss_reg: 0.4086 caption_loss_cls: 2.0651 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6789 semantic_segmentation_loss_cls: 0.0092 2023/11/05 06:26:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 06:26:28 - mmengine - INFO - Iter(train) [434000/480000] base_lr: 6.4532e-06 lr: 3.1545e-06 eta: 1 day, 2:24:12 time: 2.1520 data_time: 0.1163 memory: 26576 grad_norm: 1.8516 loss: 1.1465 grounding_loss_reg: 2.3855 detection_loss_cls: 0.0392 detection_loss_reg: 0.4090 caption_loss_cls: 2.0646 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.6786 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:26:28 - mmengine - INFO - Saving checkpoint at 434000 iterations 2023/11/05 06:31:04 - mmengine - INFO - Iter(train) [434100/480000] base_lr: 6.4340e-06 lr: 3.1496e-06 eta: 1 day, 2:41:08 time: 2.1677 data_time: 0.1310 memory: 25736 grad_norm: 1.8540 loss: 1.1455 grounding_loss_reg: 2.3822 detection_loss_cls: 0.0392 detection_loss_reg: 0.4098 caption_loss_cls: 2.0631 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.6789 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:35:22 - mmengine - INFO - Iter(train) [434200/480000] base_lr: 6.4149e-06 lr: 3.1446e-06 eta: 1 day, 2:51:11 time: 2.1677 data_time: 0.1311 memory: 25736 grad_norm: 1.8511 loss: 1.1469 grounding_loss_reg: 2.3818 detection_loss_cls: 0.0393 detection_loss_reg: 0.4108 caption_loss_cls: 2.0637 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2667 instance_segmentation_loss_poly: 0.6780 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:39:24 - mmengine - INFO - Iter(train) [434300/480000] base_lr: 6.3958e-06 lr: 3.1396e-06 eta: 1 day, 2:56:11 time: 2.1738 data_time: 0.1311 memory: 25736 grad_norm: 1.8577 loss: 1.1535 grounding_loss_reg: 2.3835 detection_loss_cls: 0.0392 detection_loss_reg: 0.4109 caption_loss_cls: 2.0658 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.6788 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:43:02 - mmengine - INFO - Iter(train) [434400/480000] base_lr: 6.3767e-06 lr: 3.1347e-06 eta: 1 day, 2:54:02 time: 2.1758 data_time: 0.1311 memory: 26576 grad_norm: 1.8561 loss: 1.1493 grounding_loss_reg: 2.3829 detection_loss_cls: 0.0392 detection_loss_reg: 0.4100 caption_loss_cls: 2.0669 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.6791 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:46:41 - mmengine - INFO - Iter(train) [434500/480000] base_lr: 6.3576e-06 lr: 3.1298e-06 eta: 1 day, 2:52:19 time: 2.1822 data_time: 0.1311 memory: 25736 grad_norm: 1.8496 loss: 1.1460 grounding_loss_reg: 2.3801 detection_loss_cls: 0.0392 detection_loss_reg: 0.4104 caption_loss_cls: 2.0678 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.6787 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:46:41 - mmengine - INFO - Saving checkpoint at 434500 iterations 2023/11/05 06:52:03 - mmengine - INFO - Iter(train) [434600/480000] base_lr: 6.3387e-06 lr: 3.1248e-06 eta: 1 day, 3:15:24 time: 2.1884 data_time: 0.1300 memory: 26576 grad_norm: 1.8628 loss: 1.1472 grounding_loss_reg: 2.3776 detection_loss_cls: 0.0392 detection_loss_reg: 0.4101 caption_loss_cls: 2.0686 instance_segmentation_loss_cls: 0.0263 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.6799 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:55:57 - mmengine - INFO - Iter(train) [434700/480000] base_lr: 6.3197e-06 lr: 3.1199e-06 eta: 1 day, 3:15:58 time: 2.1911 data_time: 0.1300 memory: 25736 grad_norm: 1.8694 loss: 1.1473 grounding_loss_reg: 2.3788 detection_loss_cls: 0.0389 detection_loss_reg: 0.4086 caption_loss_cls: 2.0701 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2675 instance_segmentation_loss_poly: 0.6788 semantic_segmentation_loss_cls: 0.0093 2023/11/05 06:59:56 - mmengine - INFO - Iter(train) [434800/480000] base_lr: 6.3008e-06 lr: 3.1150e-06 eta: 1 day, 3:17:33 time: 2.1972 data_time: 0.1300 memory: 25736 grad_norm: 1.8684 loss: 1.1450 grounding_loss_reg: 2.3782 detection_loss_cls: 0.0388 detection_loss_reg: 0.4079 caption_loss_cls: 2.0749 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.6783 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:03:08 - mmengine - INFO - Iter(train) [434900/480000] base_lr: 6.2819e-06 lr: 3.1101e-06 eta: 1 day, 3:08:06 time: 2.1938 data_time: 0.1300 memory: 26576 grad_norm: 1.8768 loss: 1.1520 grounding_loss_reg: 2.3766 detection_loss_cls: 0.0387 detection_loss_reg: 0.4076 caption_loss_cls: 2.0759 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2678 instance_segmentation_loss_poly: 0.6797 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:06:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 07:06:56 - mmengine - INFO - Iter(train) [435000/480000] base_lr: 6.2631e-06 lr: 3.1052e-06 eta: 1 day, 3:07:00 time: 2.1941 data_time: 0.1300 memory: 26576 grad_norm: 1.8712 loss: 1.1481 grounding_loss_reg: 2.3758 detection_loss_cls: 0.0387 detection_loss_reg: 0.4075 caption_loss_cls: 2.0737 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.6776 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:06:56 - mmengine - INFO - Saving checkpoint at 435000 iterations 2023/11/05 07:11:37 - mmengine - INFO - Iter(train) [435100/480000] base_lr: 6.2443e-06 lr: 3.1004e-06 eta: 1 day, 3:16:37 time: 2.1914 data_time: 0.1292 memory: 25736 grad_norm: 1.8860 loss: 1.1480 grounding_loss_reg: 2.3769 detection_loss_cls: 0.0386 detection_loss_reg: 0.4067 caption_loss_cls: 2.0749 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.6776 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:15:39 - mmengine - INFO - Iter(train) [435200/480000] base_lr: 6.2256e-06 lr: 3.0955e-06 eta: 1 day, 3:17:37 time: 2.2021 data_time: 0.1292 memory: 25736 grad_norm: 1.8757 loss: 1.1408 grounding_loss_reg: 2.3786 detection_loss_cls: 0.0385 detection_loss_reg: 0.4062 caption_loss_cls: 2.0730 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.6765 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:19:41 - mmengine - INFO - Iter(train) [435300/480000] base_lr: 6.2068e-06 lr: 3.0907e-06 eta: 1 day, 3:18:33 time: 2.2044 data_time: 0.1292 memory: 26576 grad_norm: 1.8647 loss: 1.1400 grounding_loss_reg: 2.3781 detection_loss_cls: 0.0384 detection_loss_reg: 0.4054 caption_loss_cls: 2.0693 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.6786 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:23:21 - mmengine - INFO - Iter(train) [435400/480000] base_lr: 6.1882e-06 lr: 3.0858e-06 eta: 1 day, 3:14:52 time: 2.2036 data_time: 0.1292 memory: 26576 grad_norm: 1.8690 loss: 1.1411 grounding_loss_reg: 2.3793 detection_loss_cls: 0.0384 detection_loss_reg: 0.4058 caption_loss_cls: 2.0690 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.6786 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:27:27 - mmengine - INFO - Iter(train) [435500/480000] base_lr: 6.1696e-06 lr: 3.0810e-06 eta: 1 day, 3:15:55 time: 2.2057 data_time: 0.1292 memory: 26576 grad_norm: 1.8611 loss: 1.1393 grounding_loss_reg: 2.3768 detection_loss_cls: 0.0385 detection_loss_reg: 0.4059 caption_loss_cls: 2.0709 instance_segmentation_loss_cls: 0.0262 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.6797 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:27:27 - mmengine - INFO - Saving checkpoint at 435500 iterations 2023/11/05 07:32:11 - mmengine - INFO - Iter(train) [435600/480000] base_lr: 6.1510e-06 lr: 3.0762e-06 eta: 1 day, 3:23:45 time: 2.2411 data_time: 0.1455 memory: 26576 grad_norm: 1.8636 loss: 1.1402 grounding_loss_reg: 2.3771 detection_loss_cls: 0.0384 detection_loss_reg: 0.4051 caption_loss_cls: 2.0722 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.6787 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:36:04 - mmengine - INFO - Iter(train) [435700/480000] base_lr: 6.1324e-06 lr: 3.0714e-06 eta: 1 day, 3:22:01 time: 2.2482 data_time: 0.1455 memory: 25736 grad_norm: 1.8618 loss: 1.1467 grounding_loss_reg: 2.3795 detection_loss_cls: 0.0385 detection_loss_reg: 0.4059 caption_loss_cls: 2.0735 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.6780 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:39:50 - mmengine - INFO - Iter(train) [435800/480000] base_lr: 6.1139e-06 lr: 3.0666e-06 eta: 1 day, 3:18:45 time: 2.2654 data_time: 0.1455 memory: 26576 grad_norm: 1.8643 loss: 1.1466 grounding_loss_reg: 2.3803 detection_loss_cls: 0.0385 detection_loss_reg: 0.4063 caption_loss_cls: 2.0732 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6769 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:43:44 - mmengine - INFO - Iter(train) [435900/480000] base_lr: 6.0955e-06 lr: 3.0618e-06 eta: 1 day, 3:17:02 time: 2.2848 data_time: 0.1455 memory: 26576 grad_norm: 1.8699 loss: 1.1505 grounding_loss_reg: 2.3791 detection_loss_cls: 0.0385 detection_loss_reg: 0.4059 caption_loss_cls: 2.0714 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.6768 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:47:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 07:47:20 - mmengine - INFO - Iter(train) [436000/480000] base_lr: 6.0770e-06 lr: 3.0570e-06 eta: 1 day, 3:12:11 time: 2.2956 data_time: 0.1455 memory: 25736 grad_norm: 1.8782 loss: 1.1580 grounding_loss_reg: 2.3774 detection_loss_cls: 0.0385 detection_loss_reg: 0.4053 caption_loss_cls: 2.0698 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.6775 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:47:20 - mmengine - INFO - Saving checkpoint at 436000 iterations 2023/11/05 07:52:25 - mmengine - INFO - Iter(train) [436100/480000] base_lr: 6.0586e-06 lr: 3.0522e-06 eta: 1 day, 3:21:36 time: 2.3126 data_time: 0.1437 memory: 25736 grad_norm: 1.8727 loss: 1.1570 grounding_loss_reg: 2.3768 detection_loss_cls: 0.0385 detection_loss_reg: 0.4059 caption_loss_cls: 2.0692 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6770 semantic_segmentation_loss_cls: 0.0093 2023/11/05 07:56:04 - mmengine - INFO - Iter(train) [436200/480000] base_lr: 6.0403e-06 lr: 3.0475e-06 eta: 1 day, 3:17:05 time: 2.3202 data_time: 0.1437 memory: 26576 grad_norm: 1.8727 loss: 1.1589 grounding_loss_reg: 2.3765 detection_loss_cls: 0.0385 detection_loss_reg: 0.4058 caption_loss_cls: 2.0703 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2670 instance_segmentation_loss_poly: 0.6766 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:00:25 - mmengine - INFO - Iter(train) [436300/480000] base_lr: 6.0220e-06 lr: 3.0427e-06 eta: 1 day, 3:18:53 time: 2.3404 data_time: 0.1437 memory: 26576 grad_norm: 1.8666 loss: 1.1553 grounding_loss_reg: 2.3796 detection_loss_cls: 0.0384 detection_loss_reg: 0.4065 caption_loss_cls: 2.0687 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2659 instance_segmentation_loss_poly: 0.6749 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:04:11 - mmengine - INFO - Iter(train) [436400/480000] base_lr: 6.0037e-06 lr: 3.0380e-06 eta: 1 day, 3:15:16 time: 2.3524 data_time: 0.1437 memory: 26576 grad_norm: 1.8814 loss: 1.1621 grounding_loss_reg: 2.3799 detection_loss_cls: 0.0383 detection_loss_reg: 0.4067 caption_loss_cls: 2.0698 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2657 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:07:53 - mmengine - INFO - Iter(train) [436500/480000] base_lr: 5.9855e-06 lr: 3.0333e-06 eta: 1 day, 3:11:05 time: 2.3582 data_time: 0.1436 memory: 26576 grad_norm: 1.8861 loss: 1.1703 grounding_loss_reg: 2.3800 detection_loss_cls: 0.0383 detection_loss_reg: 0.4063 caption_loss_cls: 2.0717 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2662 instance_segmentation_loss_poly: 0.6757 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:07:53 - mmengine - INFO - Saving checkpoint at 436500 iterations 2023/11/05 08:13:09 - mmengine - INFO - Iter(train) [436600/480000] base_lr: 5.9673e-06 lr: 3.0286e-06 eta: 1 day, 3:20:07 time: 2.3747 data_time: 0.1430 memory: 25736 grad_norm: 1.8957 loss: 1.1733 grounding_loss_reg: 2.3802 detection_loss_cls: 0.0383 detection_loss_reg: 0.4061 caption_loss_cls: 2.0724 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2658 instance_segmentation_loss_poly: 0.6751 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:17:00 - mmengine - INFO - Iter(train) [436700/480000] base_lr: 5.9492e-06 lr: 3.0239e-06 eta: 1 day, 3:17:02 time: 2.3847 data_time: 0.1431 memory: 25736 grad_norm: 1.8888 loss: 1.1706 grounding_loss_reg: 2.3812 detection_loss_cls: 0.0383 detection_loss_reg: 0.4059 caption_loss_cls: 2.0721 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2663 instance_segmentation_loss_poly: 0.6767 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:21:03 - mmengine - INFO - Iter(train) [436800/480000] base_lr: 5.9311e-06 lr: 3.0192e-06 eta: 1 day, 3:15:21 time: 2.3954 data_time: 0.1431 memory: 25736 grad_norm: 1.8919 loss: 1.1701 grounding_loss_reg: 2.3824 detection_loss_cls: 0.0384 detection_loss_reg: 0.4063 caption_loss_cls: 2.0720 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.6772 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:25:01 - mmengine - INFO - Iter(train) [436900/480000] base_lr: 5.9130e-06 lr: 3.0145e-06 eta: 1 day, 3:13:03 time: 2.4043 data_time: 0.1431 memory: 25736 grad_norm: 1.8842 loss: 1.1620 grounding_loss_reg: 2.3811 detection_loss_cls: 0.0386 detection_loss_reg: 0.4073 caption_loss_cls: 2.0708 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.6769 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:29:12 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 08:29:12 - mmengine - INFO - Iter(train) [437000/480000] base_lr: 5.8950e-06 lr: 3.0098e-06 eta: 1 day, 3:12:18 time: 2.4110 data_time: 0.1431 memory: 26576 grad_norm: 1.8728 loss: 1.1619 grounding_loss_reg: 2.3822 detection_loss_cls: 0.0385 detection_loss_reg: 0.4060 caption_loss_cls: 2.0699 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.6778 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:29:12 - mmengine - INFO - Saving checkpoint at 437000 iterations 2023/11/05 08:34:29 - mmengine - INFO - Iter(train) [437100/480000] base_lr: 5.8771e-06 lr: 3.0052e-06 eta: 1 day, 3:19:55 time: 2.4216 data_time: 0.1425 memory: 26576 grad_norm: 1.8634 loss: 1.1594 grounding_loss_reg: 2.3797 detection_loss_cls: 0.0386 detection_loss_reg: 0.4061 caption_loss_cls: 2.0708 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.6775 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:38:22 - mmengine - INFO - Iter(train) [437200/480000] base_lr: 5.8591e-06 lr: 3.0005e-06 eta: 1 day, 3:16:32 time: 2.4283 data_time: 0.1426 memory: 26576 grad_norm: 1.8706 loss: 1.1552 grounding_loss_reg: 2.3794 detection_loss_cls: 0.0387 detection_loss_reg: 0.4066 caption_loss_cls: 2.0696 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.6774 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:42:26 - mmengine - INFO - Iter(train) [437300/480000] base_lr: 5.8412e-06 lr: 2.9959e-06 eta: 1 day, 3:14:26 time: 2.4317 data_time: 0.1426 memory: 25736 grad_norm: 1.8695 loss: 1.1644 grounding_loss_reg: 2.3790 detection_loss_cls: 0.0386 detection_loss_reg: 0.4060 caption_loss_cls: 2.0724 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.6736 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:46:33 - mmengine - INFO - Iter(train) [437400/480000] base_lr: 5.8234e-06 lr: 2.9912e-06 eta: 1 day, 3:12:43 time: 2.4363 data_time: 0.1426 memory: 25736 grad_norm: 1.8654 loss: 1.1691 grounding_loss_reg: 2.3787 detection_loss_cls: 0.0386 detection_loss_reg: 0.4067 caption_loss_cls: 2.0733 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2644 instance_segmentation_loss_poly: 0.6754 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:50:18 - mmengine - INFO - Iter(train) [437500/480000] base_lr: 5.8056e-06 lr: 2.9866e-06 eta: 1 day, 3:08:21 time: 2.4377 data_time: 0.1426 memory: 25736 grad_norm: 1.8687 loss: 1.1737 grounding_loss_reg: 2.3763 detection_loss_cls: 0.0388 detection_loss_reg: 0.4070 caption_loss_cls: 2.0750 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6734 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:50:18 - mmengine - INFO - Saving checkpoint at 437500 iterations 2023/11/05 08:55:26 - mmengine - INFO - Iter(train) [437600/480000] base_lr: 5.7878e-06 lr: 2.9820e-06 eta: 1 day, 3:13:28 time: 2.4435 data_time: 0.1419 memory: 26576 grad_norm: 1.8725 loss: 1.1757 grounding_loss_reg: 2.3772 detection_loss_cls: 0.0387 detection_loss_reg: 0.4059 caption_loss_cls: 2.0748 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6724 semantic_segmentation_loss_cls: 0.0093 2023/11/05 08:59:36 - mmengine - INFO - Iter(train) [437700/480000] base_lr: 5.7701e-06 lr: 2.9774e-06 eta: 1 day, 3:11:46 time: 2.4518 data_time: 0.1419 memory: 25736 grad_norm: 1.8672 loss: 1.1718 grounding_loss_reg: 2.3778 detection_loss_cls: 0.0386 detection_loss_reg: 0.4053 caption_loss_cls: 2.0755 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6736 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:04:06 - mmengine - INFO - Iter(train) [437800/480000] base_lr: 5.7524e-06 lr: 2.9728e-06 eta: 1 day, 3:12:16 time: 2.4709 data_time: 0.1420 memory: 25736 grad_norm: 1.8615 loss: 1.1729 grounding_loss_reg: 2.3789 detection_loss_cls: 0.0389 detection_loss_reg: 0.4065 caption_loss_cls: 2.0752 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6730 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:07:55 - mmengine - INFO - Iter(train) [437900/480000] base_lr: 5.7347e-06 lr: 2.9683e-06 eta: 1 day, 3:07:58 time: 2.4789 data_time: 0.1420 memory: 25736 grad_norm: 1.8637 loss: 1.1729 grounding_loss_reg: 2.3775 detection_loss_cls: 0.0389 detection_loss_reg: 0.4070 caption_loss_cls: 2.0773 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6724 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:11:55 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 09:11:55 - mmengine - INFO - Iter(train) [438000/480000] base_lr: 5.7171e-06 lr: 2.9637e-06 eta: 1 day, 3:05:00 time: 2.4809 data_time: 0.1420 memory: 25736 grad_norm: 1.8622 loss: 1.1738 grounding_loss_reg: 2.3786 detection_loss_cls: 0.0388 detection_loss_reg: 0.4060 caption_loss_cls: 2.0768 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2623 instance_segmentation_loss_poly: 0.6726 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:11:55 - mmengine - INFO - Saving checkpoint at 438000 iterations 2023/11/05 09:16:49 - mmengine - INFO - Iter(train) [438100/480000] base_lr: 5.6995e-06 lr: 2.9591e-06 eta: 1 day, 3:07:40 time: 2.4854 data_time: 0.1421 memory: 26576 grad_norm: 1.8634 loss: 1.1792 grounding_loss_reg: 2.3790 detection_loss_cls: 0.0389 detection_loss_reg: 0.4060 caption_loss_cls: 2.0782 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6740 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:20:33 - mmengine - INFO - Iter(train) [438200/480000] base_lr: 5.6820e-06 lr: 2.9546e-06 eta: 1 day, 3:02:51 time: 2.4771 data_time: 0.1420 memory: 26576 grad_norm: 1.8681 loss: 1.1762 grounding_loss_reg: 2.3794 detection_loss_cls: 0.0389 detection_loss_reg: 0.4064 caption_loss_cls: 2.0764 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6732 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:24:36 - mmengine - INFO - Iter(train) [438300/480000] base_lr: 5.6645e-06 lr: 2.9501e-06 eta: 1 day, 2:59:56 time: 2.4771 data_time: 0.1419 memory: 26576 grad_norm: 1.8620 loss: 1.1676 grounding_loss_reg: 2.3783 detection_loss_cls: 0.0390 detection_loss_reg: 0.4067 caption_loss_cls: 2.0767 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.6731 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:28:22 - mmengine - INFO - Iter(train) [438400/480000] base_lr: 5.6471e-06 lr: 2.9455e-06 eta: 1 day, 2:55:20 time: 2.4792 data_time: 0.1419 memory: 26576 grad_norm: 1.8644 loss: 1.1700 grounding_loss_reg: 2.3782 detection_loss_cls: 0.0390 detection_loss_reg: 0.4064 caption_loss_cls: 2.0778 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6730 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:31:50 - mmengine - INFO - Iter(train) [438500/480000] base_lr: 5.6297e-06 lr: 2.9410e-06 eta: 1 day, 2:48:57 time: 2.4763 data_time: 0.1419 memory: 26576 grad_norm: 1.8733 loss: 1.1746 grounding_loss_reg: 2.3780 detection_loss_cls: 0.0391 detection_loss_reg: 0.4075 caption_loss_cls: 2.0730 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6721 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:31:50 - mmengine - INFO - Saving checkpoint at 438500 iterations 2023/11/05 09:36:32 - mmengine - INFO - Iter(train) [438600/480000] base_lr: 5.6123e-06 lr: 2.9365e-06 eta: 1 day, 2:49:51 time: 2.4663 data_time: 0.1418 memory: 26576 grad_norm: 1.8800 loss: 1.1744 grounding_loss_reg: 2.3780 detection_loss_cls: 0.0392 detection_loss_reg: 0.4083 caption_loss_cls: 2.0722 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:39:57 - mmengine - INFO - Iter(train) [438700/480000] base_lr: 5.5950e-06 lr: 2.9320e-06 eta: 1 day, 2:43:18 time: 2.4592 data_time: 0.1418 memory: 25736 grad_norm: 1.8773 loss: 1.1776 grounding_loss_reg: 2.3770 detection_loss_cls: 0.0392 detection_loss_reg: 0.4087 caption_loss_cls: 2.0729 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6723 semantic_segmentation_loss_cls: 0.0093 2023/11/05 09:44:04 - mmengine - INFO - Iter(train) [438800/480000] base_lr: 5.5777e-06 lr: 2.9276e-06 eta: 1 day, 2:40:45 time: 2.4611 data_time: 0.1418 memory: 26576 grad_norm: 1.8771 loss: 1.1784 grounding_loss_reg: 2.3778 detection_loss_cls: 0.0392 detection_loss_reg: 0.4079 caption_loss_cls: 2.0755 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.6732 semantic_segmentation_loss_cls: 0.0094 2023/11/05 09:48:05 - mmengine - INFO - Iter(train) [438900/480000] base_lr: 5.5605e-06 lr: 2.9231e-06 eta: 1 day, 2:37:34 time: 2.4735 data_time: 0.1419 memory: 25736 grad_norm: 1.8728 loss: 1.1727 grounding_loss_reg: 2.3752 detection_loss_cls: 0.0390 detection_loss_reg: 0.4074 caption_loss_cls: 2.0743 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6738 semantic_segmentation_loss_cls: 0.0094 2023/11/05 09:52:14 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 09:52:14 - mmengine - INFO - Iter(train) [439000/480000] base_lr: 5.5433e-06 lr: 2.9186e-06 eta: 1 day, 2:35:04 time: 2.4786 data_time: 0.1419 memory: 26576 grad_norm: 1.8714 loss: 1.1780 grounding_loss_reg: 2.3734 detection_loss_cls: 0.0390 detection_loss_reg: 0.4077 caption_loss_cls: 2.0751 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6717 semantic_segmentation_loss_cls: 0.0094 2023/11/05 09:52:14 - mmengine - INFO - Saving checkpoint at 439000 iterations 2023/11/05 09:56:37 - mmengine - INFO - Iter(train) [439100/480000] base_lr: 5.5261e-06 lr: 2.9142e-06 eta: 1 day, 2:33:49 time: 2.4741 data_time: 0.1417 memory: 25736 grad_norm: 1.8685 loss: 1.1775 grounding_loss_reg: 2.3744 detection_loss_cls: 0.0390 detection_loss_reg: 0.4082 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6708 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:00:39 - mmengine - INFO - Iter(train) [439200/480000] base_lr: 5.5090e-06 lr: 2.9097e-06 eta: 1 day, 2:30:41 time: 2.4743 data_time: 0.1417 memory: 26576 grad_norm: 1.8882 loss: 1.1898 grounding_loss_reg: 2.3744 detection_loss_cls: 0.0390 detection_loss_reg: 0.4086 caption_loss_cls: 2.0809 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6694 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:04:44 - mmengine - INFO - Iter(train) [439300/480000] base_lr: 5.4919e-06 lr: 2.9053e-06 eta: 1 day, 2:27:45 time: 2.4749 data_time: 0.1417 memory: 26576 grad_norm: 1.9036 loss: 1.1970 grounding_loss_reg: 2.3718 detection_loss_cls: 0.0390 detection_loss_reg: 0.4090 caption_loss_cls: 2.0823 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.6705 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:08:42 - mmengine - INFO - Iter(train) [439400/480000] base_lr: 5.4749e-06 lr: 2.9009e-06 eta: 1 day, 2:24:11 time: 2.4794 data_time: 0.1418 memory: 26576 grad_norm: 1.9079 loss: 1.1969 grounding_loss_reg: 2.3737 detection_loss_cls: 0.0390 detection_loss_reg: 0.4094 caption_loss_cls: 2.0794 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6715 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:12:31 - mmengine - INFO - Iter(train) [439500/480000] base_lr: 5.4579e-06 lr: 2.8965e-06 eta: 1 day, 2:19:52 time: 2.4754 data_time: 0.1417 memory: 26576 grad_norm: 1.9156 loss: 1.1984 grounding_loss_reg: 2.3739 detection_loss_cls: 0.0391 detection_loss_reg: 0.4094 caption_loss_cls: 2.0794 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6709 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:12:31 - mmengine - INFO - Saving checkpoint at 439500 iterations 2023/11/05 10:18:09 - mmengine - INFO - Iter(train) [439600/480000] base_lr: 5.4409e-06 lr: 2.8921e-06 eta: 1 day, 2:24:32 time: 2.4885 data_time: 0.1413 memory: 26576 grad_norm: 1.9078 loss: 1.1974 grounding_loss_reg: 2.3757 detection_loss_cls: 0.0391 detection_loss_reg: 0.4097 caption_loss_cls: 2.0778 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6712 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:21:53 - mmengine - INFO - Iter(train) [439700/480000] base_lr: 5.4240e-06 lr: 2.8877e-06 eta: 1 day, 2:19:42 time: 2.4863 data_time: 0.1412 memory: 25736 grad_norm: 1.9163 loss: 1.1945 grounding_loss_reg: 2.3736 detection_loss_cls: 0.0392 detection_loss_reg: 0.4098 caption_loss_cls: 2.0799 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.6707 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:25:55 - mmengine - INFO - Iter(train) [439800/480000] base_lr: 5.4071e-06 lr: 2.8833e-06 eta: 1 day, 2:16:21 time: 2.4906 data_time: 0.1413 memory: 26576 grad_norm: 1.9074 loss: 1.1897 grounding_loss_reg: 2.3768 detection_loss_cls: 0.0391 detection_loss_reg: 0.4085 caption_loss_cls: 2.0784 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6710 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:29:49 - mmengine - INFO - Iter(train) [439900/480000] base_lr: 5.3903e-06 lr: 2.8790e-06 eta: 1 day, 2:12:17 time: 2.4904 data_time: 0.1413 memory: 25736 grad_norm: 1.9064 loss: 1.1873 grounding_loss_reg: 2.3779 detection_loss_cls: 0.0392 detection_loss_reg: 0.4087 caption_loss_cls: 2.0761 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6699 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:33:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 10:33:20 - mmengine - INFO - Iter(train) [440000/480000] base_lr: 5.3735e-06 lr: 2.8746e-06 eta: 1 day, 2:06:29 time: 2.4893 data_time: 0.1413 memory: 25736 grad_norm: 1.9049 loss: 1.1853 grounding_loss_reg: 2.3763 detection_loss_cls: 0.0391 detection_loss_reg: 0.4090 caption_loss_cls: 2.0735 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6710 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:33:20 - mmengine - INFO - Saving checkpoint at 440000 iterations 2023/11/05 10:39:15 - mmengine - INFO - Evaluating bbox... 2023/11/05 10:40:18 - mmengine - INFO - bbox_mAP_copypaste: 0.531 0.709 0.580 0.385 0.576 0.684 2023/11/05 10:40:18 - mmengine - INFO - Evaluating segm... 2023/11/05 10:41:37 - mmengine - INFO - segm_mAP_copypaste: 0.357 0.624 0.357 0.219 0.404 0.547 2023/11/05 10:43:00 - mmengine - INFO - Evaluating bbox... 2023/11/05 10:44:05 - mmengine - INFO - bbox_mAP_copypaste: 0.532 0.710 0.581 0.385 0.577 0.686 2023/11/05 10:47:34 - mmengine - INFO - per class results: 2023/11/05 10:47:34 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.83 | 89.53 | | building | 82.94 | 91.78 | | sky | 93.39 | 97.72 | | floor | 83.14 | 89.73 | | tree | 74.13 | 88.45 | | ceiling | 84.8 | 93.24 | | road | 85.52 | 90.02 | | bed | 89.89 | 96.22 | | windowpane | 63.86 | 80.08 | | grass | 69.37 | 84.35 | | cabinet | 63.0 | 75.36 | | sidewalk | 68.4 | 82.39 | | person | 81.81 | 92.15 | | earth | 45.42 | 59.92 | | door | 54.05 | 67.48 | | table | 66.48 | 80.6 | | mountain | 61.46 | 77.0 | | plant | 53.26 | 61.0 | | curtain | 75.72 | 87.8 | | chair | 60.6 | 75.38 | | car | 83.36 | 92.18 | | water | 62.12 | 76.33 | | painting | 74.03 | 87.46 | | sofa | 75.43 | 84.29 | | shelf | 45.75 | 62.45 | | house | 40.42 | 60.01 | | sea | 70.03 | 87.51 | | mirror | 69.11 | 78.78 | | rug | 68.85 | 79.16 | | field | 30.88 | 46.04 | | armchair | 53.77 | 74.44 | | seat | 67.24 | 85.03 | | fence | 44.35 | 58.86 | | desk | 57.14 | 74.98 | | rock | 47.19 | 65.71 | | wardrobe | 56.62 | 68.95 | | lamp | 62.16 | 75.92 | | bathtub | 85.66 | 89.21 | | railing | 35.46 | 48.8 | | cushion | 61.95 | 74.77 | | base | 24.61 | 36.47 | | box | 30.63 | 42.84 | | column | 48.47 | 63.41 | | signboard | 38.11 | 53.28 | | chest of drawers | 39.49 | 72.2 | | counter | 24.87 | 31.32 | | sand | 58.37 | 75.82 | | sink | 76.24 | 85.22 | | skyscraper | 50.43 | 60.53 | | fireplace | 71.88 | 87.24 | | refrigerator | 78.99 | 89.06 | | grandstand | 48.05 | 76.65 | | path | 27.07 | 40.68 | | stairs | 38.09 | 49.98 | | runway | 74.87 | 94.13 | | case | 53.3 | 67.15 | | pool table | 91.44 | 95.71 | | pillow | 55.57 | 65.74 | | screen door | 76.39 | 79.89 | | stairway | 32.45 | 38.15 | | river | 13.56 | 24.92 | | bridge | 66.41 | 77.99 | | bookcase | 39.35 | 53.89 | | blind | 40.75 | 45.72 | | coffee table | 62.12 | 77.1 | | toilet | 87.92 | 93.0 | | flower | 37.39 | 54.23 | | book | 46.54 | 69.61 | | hill | 10.56 | 17.06 | | bench | 57.84 | 69.98 | | countertop | 64.3 | 77.05 | | stove | 76.05 | 83.54 | | palm | 49.03 | 66.82 | | kitchen island | 45.26 | 78.13 | | computer | 74.79 | 89.02 | | swivel chair | 47.72 | 64.35 | | boat | 61.87 | 73.22 | | bar | 40.42 | 48.03 | | arcade machine | 71.85 | 79.75 | | hovel | 34.98 | 38.31 | | bus | 92.55 | 95.52 | | towel | 65.58 | 80.51 | | light | 51.01 | 61.3 | | truck | 42.65 | 63.5 | | tower | 47.33 | 79.2 | | chandelier | 62.78 | 77.24 | | awning | 29.15 | 35.64 | | streetlight | 34.0 | 43.13 | | booth | 40.33 | 49.34 | | television receiver | 69.85 | 86.05 | | airplane | 62.29 | 69.68 | | dirt track | 1.67 | 6.76 | | apparel | 42.56 | 62.88 | | pole | 28.67 | 43.83 | | land | 0.43 | 0.54 | | bannister | 15.14 | 21.62 | | escalator | 25.53 | 28.24 | | ottoman | 52.22 | 71.81 | | bottle | 32.33 | 42.1 | | buffet | 43.67 | 49.0 | | poster | 33.47 | 46.39 | | stage | 10.07 | 16.81 | | van | 41.36 | 50.25 | | ship | 69.65 | 81.51 | | fountain | 31.62 | 33.43 | | conveyer belt | 73.43 | 86.65 | | canopy | 27.18 | 36.2 | | washer | 71.16 | 73.54 | | plaything | 25.82 | 34.92 | | swimming pool | 82.37 | 89.91 | | stool | 50.04 | 66.7 | | barrel | 55.02 | 64.92 | | basket | 28.14 | 44.01 | | waterfall | 67.13 | 73.76 | | tent | 87.06 | 97.14 | | bag | 22.43 | 27.77 | | minibike | 73.13 | 87.43 | | cradle | 78.6 | 94.25 | | oven | 50.6 | 62.57 | | ball | 51.45 | 65.72 | | food | 52.76 | 59.46 | | step | 7.14 | 9.04 | | tank | 45.08 | 60.84 | | trade name | 23.84 | 26.52 | | microwave | 87.67 | 94.42 | | pot | 54.75 | 63.15 | | animal | 64.6 | 68.29 | | bicycle | 60.32 | 77.79 | | lake | 51.99 | 63.0 | | dishwasher | 72.22 | 78.03 | | screen | 70.07 | 82.34 | | blanket | 16.55 | 19.41 | | sculpture | 71.23 | 86.11 | | hood | 65.28 | 80.0 | | sconce | 42.68 | 54.06 | | vase | 42.34 | 61.31 | | traffic light | 37.59 | 52.78 | | tray | 16.34 | 29.27 | | ashcan | 42.73 | 61.82 | | fan | 60.61 | 73.26 | | pier | 35.73 | 38.31 | | crt screen | 9.88 | 19.44 | | plate | 56.6 | 69.42 | | monitor | 26.92 | 31.24 | | bulletin board | 47.04 | 54.7 | | shower | 3.59 | 4.26 | | radiator | 58.68 | 69.03 | | glass | 19.05 | 20.82 | | clock | 27.76 | 34.57 | | flag | 66.81 | 73.99 | +---------------------+-------+-------+ 2023/11/05 10:47:58 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.1630 data_time: 0.0110 memory: 27857 2023/11/05 10:48:18 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5320 coco/bbox_mAP_50: 0.7100 coco/bbox_mAP_75: 0.5810 coco/bbox_mAP_s: 0.3850 coco/bbox_mAP_m: 0.5770 coco/bbox_mAP_l: 0.6860 coco/segm_mAP: 0.3570 coco/segm_mAP_50: 0.6240 coco/segm_mAP_75: 0.3570 coco/segm_mAP_s: 0.2190 coco/segm_mAP_m: 0.4040 coco/segm_mAP_l: 0.5470 Bleu_1: 0.7705 Bleu_2: 0.6072 Bleu_3: 0.4669 Bleu_4: 0.3555 METEOR: 0.2900 ROUGE_L: 0.5784 CIDEr: 1.2079 SPICE: 0.2201 aAcc: 84.3900 mIoU: 52.6900 mAcc: 64.2400 visual-grounding/miou: 0.8175 visual-grounding/acc: 0.8822 data_time: 0.0013 time: 0.2321 2023/11/05 10:52:08 - mmengine - INFO - Iter(train) [440100/480000] base_lr: 5.3568e-06 lr: 2.8703e-06 eta: 1 day, 2:02:32 time: 2.4716 data_time: 0.1265 memory: 25736 grad_norm: 1.8972 loss: 1.1901 grounding_loss_reg: 2.3779 detection_loss_cls: 0.0392 detection_loss_reg: 0.4091 caption_loss_cls: 2.0775 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2611 instance_segmentation_loss_poly: 0.6717 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:55:43 - mmengine - INFO - Iter(train) [440200/480000] base_lr: 5.3401e-06 lr: 2.8659e-06 eta: 1 day, 1:57:02 time: 2.4704 data_time: 0.1265 memory: 26576 grad_norm: 1.9008 loss: 1.1964 grounding_loss_reg: 2.3790 detection_loss_cls: 0.0392 detection_loss_reg: 0.4096 caption_loss_cls: 2.0793 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6719 semantic_segmentation_loss_cls: 0.0094 2023/11/05 10:59:22 - mmengine - INFO - Iter(train) [440300/480000] base_lr: 5.3234e-06 lr: 2.8616e-06 eta: 1 day, 1:51:57 time: 2.4599 data_time: 0.1265 memory: 26576 grad_norm: 1.9212 loss: 1.1994 grounding_loss_reg: 2.3786 detection_loss_cls: 0.0391 detection_loss_reg: 0.4092 caption_loss_cls: 2.0792 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6729 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:03:06 - mmengine - INFO - Iter(train) [440400/480000] base_lr: 5.3068e-06 lr: 2.8573e-06 eta: 1 day, 1:47:14 time: 2.4594 data_time: 0.1265 memory: 25736 grad_norm: 1.9042 loss: 1.1911 grounding_loss_reg: 2.3801 detection_loss_cls: 0.0391 detection_loss_reg: 0.4092 caption_loss_cls: 2.0779 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:06:50 - mmengine - INFO - Iter(train) [440500/480000] base_lr: 5.2902e-06 lr: 2.8530e-06 eta: 1 day, 1:42:34 time: 2.4599 data_time: 0.1265 memory: 25736 grad_norm: 1.8903 loss: 1.1806 grounding_loss_reg: 2.3794 detection_loss_cls: 0.0389 detection_loss_reg: 0.4083 caption_loss_cls: 2.0787 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6714 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:06:50 - mmengine - INFO - Saving checkpoint at 440500 iterations 2023/11/05 11:11:59 - mmengine - INFO - Iter(train) [440600/480000] base_lr: 5.2736e-06 lr: 2.8487e-06 eta: 1 day, 1:44:02 time: 2.4583 data_time: 0.1283 memory: 26576 grad_norm: 1.8880 loss: 1.1795 grounding_loss_reg: 2.3777 detection_loss_cls: 0.0389 detection_loss_reg: 0.4087 caption_loss_cls: 2.0778 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6714 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:15:45 - mmengine - INFO - Iter(train) [440700/480000] base_lr: 5.2571e-06 lr: 2.8444e-06 eta: 1 day, 1:39:30 time: 2.4570 data_time: 0.1284 memory: 26576 grad_norm: 1.8996 loss: 1.1785 grounding_loss_reg: 2.3746 detection_loss_cls: 0.0386 detection_loss_reg: 0.4067 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:19:40 - mmengine - INFO - Iter(train) [440800/480000] base_lr: 5.2407e-06 lr: 2.8402e-06 eta: 1 day, 1:35:33 time: 2.4551 data_time: 0.1285 memory: 25736 grad_norm: 1.9112 loss: 1.1836 grounding_loss_reg: 2.3712 detection_loss_cls: 0.0386 detection_loss_reg: 0.4071 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:23:16 - mmengine - INFO - Iter(train) [440900/480000] base_lr: 5.2242e-06 lr: 2.8359e-06 eta: 1 day, 1:30:18 time: 2.4494 data_time: 0.1286 memory: 25736 grad_norm: 1.9162 loss: 1.1849 grounding_loss_reg: 2.3710 detection_loss_cls: 0.0386 detection_loss_reg: 0.4066 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6728 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:26:51 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 11:26:51 - mmengine - INFO - Iter(train) [441000/480000] base_lr: 5.2079e-06 lr: 2.8317e-06 eta: 1 day, 1:25:04 time: 2.4406 data_time: 0.1286 memory: 26576 grad_norm: 1.9320 loss: 1.1854 grounding_loss_reg: 2.3682 detection_loss_cls: 0.0387 detection_loss_reg: 0.4077 caption_loss_cls: 2.0752 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2613 instance_segmentation_loss_poly: 0.6731 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:26:51 - mmengine - INFO - Saving checkpoint at 441000 iterations 2023/11/05 11:32:09 - mmengine - INFO - Iter(train) [441100/480000] base_lr: 5.1915e-06 lr: 2.8274e-06 eta: 1 day, 1:26:47 time: 2.4408 data_time: 0.1296 memory: 26576 grad_norm: 1.9451 loss: 1.1915 grounding_loss_reg: 2.3682 detection_loss_cls: 0.0389 detection_loss_reg: 0.4083 caption_loss_cls: 2.0770 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6732 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:35:39 - mmengine - INFO - Iter(train) [441200/480000] base_lr: 5.1752e-06 lr: 2.8232e-06 eta: 1 day, 1:21:09 time: 2.4351 data_time: 0.1297 memory: 25736 grad_norm: 1.9461 loss: 1.1912 grounding_loss_reg: 2.3672 detection_loss_cls: 0.0390 detection_loss_reg: 0.4088 caption_loss_cls: 2.0731 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6740 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:40:03 - mmengine - INFO - Iter(train) [441300/480000] base_lr: 5.1590e-06 lr: 2.8190e-06 eta: 1 day, 1:19:06 time: 2.4402 data_time: 0.1298 memory: 26576 grad_norm: 1.9435 loss: 1.1857 grounding_loss_reg: 2.3688 detection_loss_cls: 0.0390 detection_loss_reg: 0.4084 caption_loss_cls: 2.0732 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2623 instance_segmentation_loss_poly: 0.6737 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:43:42 - mmengine - INFO - Iter(train) [441400/480000] base_lr: 5.1427e-06 lr: 2.8148e-06 eta: 1 day, 1:14:05 time: 2.4330 data_time: 0.1298 memory: 25736 grad_norm: 1.9467 loss: 1.1848 grounding_loss_reg: 2.3682 detection_loss_cls: 0.0389 detection_loss_reg: 0.4081 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6747 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:47:29 - mmengine - INFO - Iter(train) [441500/480000] base_lr: 5.1266e-06 lr: 2.8106e-06 eta: 1 day, 1:09:38 time: 2.4334 data_time: 0.1298 memory: 26576 grad_norm: 1.9442 loss: 1.1874 grounding_loss_reg: 2.3668 detection_loss_cls: 0.0389 detection_loss_reg: 0.4080 caption_loss_cls: 2.0786 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:47:29 - mmengine - INFO - Saving checkpoint at 441500 iterations 2023/11/05 11:52:51 - mmengine - INFO - Iter(train) [441600/480000] base_lr: 5.1104e-06 lr: 2.8064e-06 eta: 1 day, 1:11:12 time: 2.4371 data_time: 0.1315 memory: 26576 grad_norm: 1.9440 loss: 1.1865 grounding_loss_reg: 2.3673 detection_loss_cls: 0.0388 detection_loss_reg: 0.4075 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2637 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0094 2023/11/05 11:56:54 - mmengine - INFO - Iter(train) [441700/480000] base_lr: 5.0943e-06 lr: 2.8022e-06 eta: 1 day, 1:07:43 time: 2.4354 data_time: 0.1315 memory: 26576 grad_norm: 1.9440 loss: 1.1826 grounding_loss_reg: 2.3678 detection_loss_cls: 0.0388 detection_loss_reg: 0.4078 caption_loss_cls: 2.0761 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0094 2023/11/05 12:00:35 - mmengine - INFO - Iter(train) [441800/480000] base_lr: 5.0783e-06 lr: 2.7981e-06 eta: 1 day, 1:02:47 time: 2.4229 data_time: 0.1315 memory: 26576 grad_norm: 1.9386 loss: 1.1737 grounding_loss_reg: 2.3670 detection_loss_cls: 0.0389 detection_loss_reg: 0.4080 caption_loss_cls: 2.0761 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6747 semantic_segmentation_loss_cls: 0.0094 2023/11/05 12:03:52 - mmengine - INFO - Iter(train) [441900/480000] base_lr: 5.0623e-06 lr: 2.7939e-06 eta: 1 day, 0:56:27 time: 2.4150 data_time: 0.1315 memory: 26576 grad_norm: 1.9477 loss: 1.1796 grounding_loss_reg: 2.3663 detection_loss_cls: 0.0388 detection_loss_reg: 0.4076 caption_loss_cls: 2.0750 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6726 semantic_segmentation_loss_cls: 0.0094 2023/11/05 12:07:42 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 12:07:42 - mmengine - INFO - Iter(train) [442000/480000] base_lr: 5.0463e-06 lr: 2.7898e-06 eta: 1 day, 0:52:11 time: 2.4124 data_time: 0.1316 memory: 25736 grad_norm: 1.9566 loss: 1.1813 grounding_loss_reg: 2.3677 detection_loss_cls: 0.0389 detection_loss_reg: 0.4074 caption_loss_cls: 2.0761 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6732 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:07:42 - mmengine - INFO - Saving checkpoint at 442000 iterations 2023/11/05 12:12:21 - mmengine - INFO - Iter(train) [442100/480000] base_lr: 5.0304e-06 lr: 2.7857e-06 eta: 1 day, 0:50:53 time: 2.4089 data_time: 0.1324 memory: 25736 grad_norm: 1.9597 loss: 1.1791 grounding_loss_reg: 2.3667 detection_loss_cls: 0.0389 detection_loss_reg: 0.4078 caption_loss_cls: 2.0775 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6717 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:15:53 - mmengine - INFO - Iter(train) [442200/480000] base_lr: 5.0145e-06 lr: 2.7815e-06 eta: 1 day, 0:45:30 time: 2.4056 data_time: 0.1325 memory: 26576 grad_norm: 1.9602 loss: 1.1792 grounding_loss_reg: 2.3679 detection_loss_cls: 0.0389 detection_loss_reg: 0.4074 caption_loss_cls: 2.0747 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6708 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:19:41 - mmengine - INFO - Iter(train) [442300/480000] base_lr: 4.9986e-06 lr: 2.7774e-06 eta: 1 day, 0:41:08 time: 2.4021 data_time: 0.1325 memory: 26576 grad_norm: 1.9728 loss: 1.1864 grounding_loss_reg: 2.3696 detection_loss_cls: 0.0389 detection_loss_reg: 0.4075 caption_loss_cls: 2.0765 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6705 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:23:34 - mmengine - INFO - Iter(train) [442400/480000] base_lr: 4.9828e-06 lr: 2.7733e-06 eta: 1 day, 0:37:02 time: 2.4038 data_time: 0.1326 memory: 25736 grad_norm: 1.9655 loss: 1.1832 grounding_loss_reg: 2.3702 detection_loss_cls: 0.0389 detection_loss_reg: 0.4073 caption_loss_cls: 2.0752 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6706 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:27:03 - mmengine - INFO - Iter(train) [442500/480000] base_lr: 4.9671e-06 lr: 2.7692e-06 eta: 1 day, 0:31:34 time: 2.4041 data_time: 0.1327 memory: 26576 grad_norm: 1.9546 loss: 1.1872 grounding_loss_reg: 2.3722 detection_loss_cls: 0.0390 detection_loss_reg: 0.4085 caption_loss_cls: 2.0789 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6705 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:27:03 - mmengine - INFO - Saving checkpoint at 442500 iterations 2023/11/05 12:31:54 - mmengine - INFO - Iter(train) [442600/480000] base_lr: 4.9513e-06 lr: 2.7652e-06 eta: 1 day, 0:30:46 time: 2.4064 data_time: 0.1338 memory: 25736 grad_norm: 1.9491 loss: 1.1831 grounding_loss_reg: 2.3712 detection_loss_cls: 0.0390 detection_loss_reg: 0.4091 caption_loss_cls: 2.0790 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6697 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:35:36 - mmengine - INFO - Iter(train) [442700/480000] base_lr: 4.9357e-06 lr: 2.7611e-06 eta: 1 day, 0:26:03 time: 2.4105 data_time: 0.1338 memory: 26576 grad_norm: 1.9543 loss: 1.1816 grounding_loss_reg: 2.3741 detection_loss_cls: 0.0390 detection_loss_reg: 0.4089 caption_loss_cls: 2.0802 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6704 semantic_segmentation_loss_cls: 0.0094 2023/11/05 12:39:00 - mmengine - INFO - Iter(train) [442800/480000] base_lr: 4.9200e-06 lr: 2.7570e-06 eta: 1 day, 0:20:23 time: 2.3998 data_time: 0.1338 memory: 25736 grad_norm: 1.9563 loss: 1.1830 grounding_loss_reg: 2.3729 detection_loss_cls: 0.0389 detection_loss_reg: 0.4085 caption_loss_cls: 2.0777 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.6707 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:42:36 - mmengine - INFO - Iter(train) [442900/480000] base_lr: 4.9044e-06 lr: 2.7530e-06 eta: 1 day, 0:15:22 time: 2.3935 data_time: 0.1338 memory: 25736 grad_norm: 1.9559 loss: 1.1842 grounding_loss_reg: 2.3718 detection_loss_cls: 0.0388 detection_loss_reg: 0.4082 caption_loss_cls: 2.0774 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:46:24 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 12:46:24 - mmengine - INFO - Iter(train) [443000/480000] base_lr: 4.8889e-06 lr: 2.7490e-06 eta: 1 day, 0:11:04 time: 2.3884 data_time: 0.1339 memory: 25736 grad_norm: 1.9472 loss: 1.1781 grounding_loss_reg: 2.3714 detection_loss_cls: 0.0390 detection_loss_reg: 0.4086 caption_loss_cls: 2.0779 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0093 2023/11/05 12:46:24 - mmengine - INFO - Saving checkpoint at 443000 iterations 2023/11/05 12:51:11 - mmengine - INFO - Iter(train) [443100/480000] base_lr: 4.8733e-06 lr: 2.7449e-06 eta: 1 day, 0:09:52 time: 2.3943 data_time: 0.1345 memory: 26576 grad_norm: 1.9544 loss: 1.1790 grounding_loss_reg: 2.3711 detection_loss_cls: 0.0389 detection_loss_reg: 0.4083 caption_loss_cls: 2.0797 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6695 semantic_segmentation_loss_cls: 0.0094 2023/11/05 12:54:54 - mmengine - INFO - Iter(train) [443200/480000] base_lr: 4.8579e-06 lr: 2.7409e-06 eta: 1 day, 0:05:17 time: 2.3896 data_time: 0.1345 memory: 26576 grad_norm: 1.9437 loss: 1.1709 grounding_loss_reg: 2.3708 detection_loss_cls: 0.0389 detection_loss_reg: 0.4080 caption_loss_cls: 2.0798 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6673 semantic_segmentation_loss_cls: 0.0094 2023/11/05 12:58:56 - mmengine - INFO - Iter(train) [443300/480000] base_lr: 4.8424e-06 lr: 2.7369e-06 eta: 1 day, 0:01:42 time: 2.3888 data_time: 0.1345 memory: 26576 grad_norm: 1.9279 loss: 1.1605 grounding_loss_reg: 2.3695 detection_loss_cls: 0.0389 detection_loss_reg: 0.4076 caption_loss_cls: 2.0804 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6670 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:02:23 - mmengine - INFO - Iter(train) [443400/480000] base_lr: 4.8270e-06 lr: 2.7329e-06 eta: 23:56:16 time: 2.3810 data_time: 0.1345 memory: 25736 grad_norm: 1.9282 loss: 1.1581 grounding_loss_reg: 2.3680 detection_loss_cls: 0.0389 detection_loss_reg: 0.4076 caption_loss_cls: 2.0812 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:05:46 - mmengine - INFO - Iter(train) [443500/480000] base_lr: 4.8117e-06 lr: 2.7290e-06 eta: 23:50:42 time: 2.3745 data_time: 0.1346 memory: 26576 grad_norm: 1.9421 loss: 1.1637 grounding_loss_reg: 2.3683 detection_loss_cls: 0.0389 detection_loss_reg: 0.4083 caption_loss_cls: 2.0810 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6675 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:05:46 - mmengine - INFO - Saving checkpoint at 443500 iterations 2023/11/05 13:10:47 - mmengine - INFO - Iter(train) [443600/480000] base_lr: 4.7964e-06 lr: 2.7250e-06 eta: 23:50:04 time: 2.3653 data_time: 0.1359 memory: 26576 grad_norm: 1.9406 loss: 1.1572 grounding_loss_reg: 2.3672 detection_loss_cls: 0.0389 detection_loss_reg: 0.4085 caption_loss_cls: 2.0773 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6661 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:14:10 - mmengine - INFO - Iter(train) [443700/480000] base_lr: 4.7811e-06 lr: 2.7210e-06 eta: 23:44:30 time: 2.3600 data_time: 0.1360 memory: 25736 grad_norm: 1.9379 loss: 1.1638 grounding_loss_reg: 2.3653 detection_loss_cls: 0.0388 detection_loss_reg: 0.4089 caption_loss_cls: 2.0790 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6662 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:18:10 - mmengine - INFO - Iter(train) [443800/480000] base_lr: 4.7659e-06 lr: 2.7171e-06 eta: 23:40:49 time: 2.3595 data_time: 0.1360 memory: 26576 grad_norm: 1.9473 loss: 1.1688 grounding_loss_reg: 2.3663 detection_loss_cls: 0.0389 detection_loss_reg: 0.4085 caption_loss_cls: 2.0795 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6651 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:22:10 - mmengine - INFO - Iter(train) [443900/480000] base_lr: 4.7507e-06 lr: 2.7131e-06 eta: 23:37:05 time: 2.3609 data_time: 0.1361 memory: 25736 grad_norm: 1.9400 loss: 1.1690 grounding_loss_reg: 2.3669 detection_loss_cls: 0.0388 detection_loss_reg: 0.4079 caption_loss_cls: 2.0790 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.6644 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:25:48 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 13:25:48 - mmengine - INFO - Iter(train) [444000/480000] base_lr: 4.7355e-06 lr: 2.7092e-06 eta: 23:32:20 time: 2.3627 data_time: 0.1362 memory: 25736 grad_norm: 1.9365 loss: 1.1674 grounding_loss_reg: 2.3662 detection_loss_cls: 0.0388 detection_loss_reg: 0.4070 caption_loss_cls: 2.0777 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2573 instance_segmentation_loss_poly: 0.6647 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:25:48 - mmengine - INFO - Saving checkpoint at 444000 iterations 2023/11/05 13:30:37 - mmengine - INFO - Iter(train) [444100/480000] base_lr: 4.7204e-06 lr: 2.7053e-06 eta: 23:30:57 time: 2.3763 data_time: 0.1525 memory: 25736 grad_norm: 1.9496 loss: 1.1675 grounding_loss_reg: 2.3633 detection_loss_cls: 0.0388 detection_loss_reg: 0.4066 caption_loss_cls: 2.0804 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6662 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:34:13 - mmengine - INFO - Iter(train) [444200/480000] base_lr: 4.7054e-06 lr: 2.7014e-06 eta: 23:26:05 time: 2.3767 data_time: 0.1526 memory: 26576 grad_norm: 1.9517 loss: 1.1636 grounding_loss_reg: 2.3648 detection_loss_cls: 0.0388 detection_loss_reg: 0.4063 caption_loss_cls: 2.0785 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:38:27 - mmengine - INFO - Iter(train) [444300/480000] base_lr: 4.6903e-06 lr: 2.6975e-06 eta: 23:22:59 time: 2.3853 data_time: 0.1526 memory: 26576 grad_norm: 1.9253 loss: 1.1564 grounding_loss_reg: 2.3651 detection_loss_cls: 0.0391 detection_loss_reg: 0.4070 caption_loss_cls: 2.0796 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:42:19 - mmengine - INFO - Iter(train) [444400/480000] base_lr: 4.6754e-06 lr: 2.6936e-06 eta: 23:18:53 time: 2.3875 data_time: 0.1528 memory: 26576 grad_norm: 1.9234 loss: 1.1557 grounding_loss_reg: 2.3659 detection_loss_cls: 0.0391 detection_loss_reg: 0.4068 caption_loss_cls: 2.0787 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6676 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:45:40 - mmengine - INFO - Iter(train) [444500/480000] base_lr: 4.6604e-06 lr: 2.6897e-06 eta: 23:13:21 time: 2.3816 data_time: 0.1527 memory: 26576 grad_norm: 1.9238 loss: 1.1579 grounding_loss_reg: 2.3665 detection_loss_cls: 0.0391 detection_loss_reg: 0.4067 caption_loss_cls: 2.0782 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6671 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:45:40 - mmengine - INFO - Saving checkpoint at 444500 iterations 2023/11/05 13:50:38 - mmengine - INFO - Iter(train) [444600/480000] base_lr: 4.6455e-06 lr: 2.6859e-06 eta: 23:12:17 time: 2.3791 data_time: 0.1523 memory: 26576 grad_norm: 1.9190 loss: 1.1579 grounding_loss_reg: 2.3642 detection_loss_cls: 0.0392 detection_loss_reg: 0.4064 caption_loss_cls: 2.0818 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.6674 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:54:13 - mmengine - INFO - Iter(train) [444700/480000] base_lr: 4.6307e-06 lr: 2.6820e-06 eta: 23:07:24 time: 2.3762 data_time: 0.1521 memory: 25736 grad_norm: 1.9157 loss: 1.1596 grounding_loss_reg: 2.3623 detection_loss_cls: 0.0392 detection_loss_reg: 0.4068 caption_loss_cls: 2.0816 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0094 2023/11/05 13:57:43 - mmengine - INFO - Iter(train) [444800/480000] base_lr: 4.6158e-06 lr: 2.6782e-06 eta: 23:02:18 time: 2.3699 data_time: 0.1521 memory: 26576 grad_norm: 1.9145 loss: 1.1627 grounding_loss_reg: 2.3642 detection_loss_cls: 0.0391 detection_loss_reg: 0.4056 caption_loss_cls: 2.0834 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6681 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:01:48 - mmengine - INFO - Iter(train) [444900/480000] base_lr: 4.6011e-06 lr: 2.6743e-06 eta: 22:58:48 time: 2.3772 data_time: 0.1522 memory: 26576 grad_norm: 1.9059 loss: 1.1585 grounding_loss_reg: 2.3636 detection_loss_cls: 0.0390 detection_loss_reg: 0.4045 caption_loss_cls: 2.0847 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:05:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 14:05:25 - mmengine - INFO - Iter(train) [445000/480000] base_lr: 4.5863e-06 lr: 2.6705e-06 eta: 22:54:04 time: 2.3776 data_time: 0.1522 memory: 26576 grad_norm: 1.9038 loss: 1.1585 grounding_loss_reg: 2.3635 detection_loss_cls: 0.0391 detection_loss_reg: 0.4053 caption_loss_cls: 2.0830 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6671 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:05:25 - mmengine - INFO - Saving checkpoint at 445000 iterations 2023/11/05 14:10:09 - mmengine - INFO - Iter(train) [445100/480000] base_lr: 4.5716e-06 lr: 2.6667e-06 eta: 22:52:11 time: 2.3689 data_time: 0.1520 memory: 25736 grad_norm: 1.9013 loss: 1.1536 grounding_loss_reg: 2.3651 detection_loss_cls: 0.0391 detection_loss_reg: 0.4058 caption_loss_cls: 2.0784 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6676 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:13:55 - mmengine - INFO - Iter(train) [445200/480000] base_lr: 4.5570e-06 lr: 2.6629e-06 eta: 22:47:50 time: 2.3730 data_time: 0.1520 memory: 26576 grad_norm: 1.8981 loss: 1.1556 grounding_loss_reg: 2.3649 detection_loss_cls: 0.0393 detection_loss_reg: 0.4068 caption_loss_cls: 2.0759 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6668 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:17:51 - mmengine - INFO - Iter(train) [445300/480000] base_lr: 4.5424e-06 lr: 2.6591e-06 eta: 22:43:55 time: 2.3661 data_time: 0.1520 memory: 25736 grad_norm: 1.8977 loss: 1.1588 grounding_loss_reg: 2.3636 detection_loss_cls: 0.0394 detection_loss_reg: 0.4075 caption_loss_cls: 2.0779 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6684 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:21:45 - mmengine - INFO - Iter(train) [445400/480000] base_lr: 4.5278e-06 lr: 2.6554e-06 eta: 22:39:54 time: 2.3698 data_time: 0.1521 memory: 25736 grad_norm: 1.8990 loss: 1.1619 grounding_loss_reg: 2.3623 detection_loss_cls: 0.0394 detection_loss_reg: 0.4073 caption_loss_cls: 2.0811 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6683 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:25:28 - mmengine - INFO - Iter(train) [445500/480000] base_lr: 4.5133e-06 lr: 2.6516e-06 eta: 22:35:26 time: 2.3688 data_time: 0.1521 memory: 26576 grad_norm: 1.8955 loss: 1.1577 grounding_loss_reg: 2.3610 detection_loss_cls: 0.0394 detection_loss_reg: 0.4072 caption_loss_cls: 2.0808 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6688 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:25:28 - mmengine - INFO - Saving checkpoint at 445500 iterations 2023/11/05 14:30:17 - mmengine - INFO - Iter(train) [445600/480000] base_lr: 4.4988e-06 lr: 2.6478e-06 eta: 22:33:41 time: 2.3607 data_time: 0.1514 memory: 26576 grad_norm: 1.8977 loss: 1.1572 grounding_loss_reg: 2.3569 detection_loss_cls: 0.0394 detection_loss_reg: 0.4080 caption_loss_cls: 2.0804 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6688 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:34:13 - mmengine - INFO - Iter(train) [445700/480000] base_lr: 4.4843e-06 lr: 2.6441e-06 eta: 22:29:45 time: 2.3589 data_time: 0.1514 memory: 25736 grad_norm: 1.9064 loss: 1.1665 grounding_loss_reg: 2.3598 detection_loss_cls: 0.0395 detection_loss_reg: 0.4086 caption_loss_cls: 2.0821 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6686 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:37:56 - mmengine - INFO - Iter(train) [445800/480000] base_lr: 4.4699e-06 lr: 2.6404e-06 eta: 22:25:16 time: 2.3594 data_time: 0.1514 memory: 25736 grad_norm: 1.9098 loss: 1.1694 grounding_loss_reg: 2.3615 detection_loss_cls: 0.0393 detection_loss_reg: 0.4083 caption_loss_cls: 2.0806 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6678 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:41:40 - mmengine - INFO - Iter(train) [445900/480000] base_lr: 4.4556e-06 lr: 2.6366e-06 eta: 22:20:52 time: 2.3662 data_time: 0.1514 memory: 25736 grad_norm: 1.8895 loss: 1.1581 grounding_loss_reg: 2.3625 detection_loss_cls: 0.0394 detection_loss_reg: 0.4084 caption_loss_cls: 2.0762 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6667 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:45:41 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 14:45:41 - mmengine - INFO - Iter(train) [446000/480000] base_lr: 4.4413e-06 lr: 2.6329e-06 eta: 22:17:08 time: 2.3690 data_time: 0.1514 memory: 26576 grad_norm: 1.8822 loss: 1.1533 grounding_loss_reg: 2.3591 detection_loss_cls: 0.0395 detection_loss_reg: 0.4083 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6672 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:45:41 - mmengine - INFO - Saving checkpoint at 446000 iterations 2023/11/05 14:50:44 - mmengine - INFO - Iter(train) [446100/480000] base_lr: 4.4270e-06 lr: 2.6292e-06 eta: 22:15:48 time: 2.3749 data_time: 0.1521 memory: 25736 grad_norm: 1.8750 loss: 1.1491 grounding_loss_reg: 2.3580 detection_loss_cls: 0.0394 detection_loss_reg: 0.4075 caption_loss_cls: 2.0788 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6658 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:54:29 - mmengine - INFO - Iter(train) [446200/480000] base_lr: 4.4127e-06 lr: 2.6255e-06 eta: 22:11:23 time: 2.3781 data_time: 0.1521 memory: 25736 grad_norm: 1.8835 loss: 1.1505 grounding_loss_reg: 2.3536 detection_loss_cls: 0.0394 detection_loss_reg: 0.4069 caption_loss_cls: 2.0802 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6655 semantic_segmentation_loss_cls: 0.0094 2023/11/05 14:58:16 - mmengine - INFO - Iter(train) [446300/480000] base_lr: 4.3985e-06 lr: 2.6218e-06 eta: 22:07:05 time: 2.3777 data_time: 0.1521 memory: 26576 grad_norm: 1.8752 loss: 1.1486 grounding_loss_reg: 2.3545 detection_loss_cls: 0.0394 detection_loss_reg: 0.4068 caption_loss_cls: 2.0831 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6650 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:02:08 - mmengine - INFO - Iter(train) [446400/480000] base_lr: 4.3844e-06 lr: 2.6182e-06 eta: 22:03:00 time: 2.3776 data_time: 0.1521 memory: 26576 grad_norm: 1.8795 loss: 1.1519 grounding_loss_reg: 2.3543 detection_loss_cls: 0.0392 detection_loss_reg: 0.4058 caption_loss_cls: 2.0857 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6647 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:05:50 - mmengine - INFO - Iter(train) [446500/480000] base_lr: 4.3703e-06 lr: 2.6145e-06 eta: 21:58:32 time: 2.3809 data_time: 0.1522 memory: 26576 grad_norm: 1.8842 loss: 1.1498 grounding_loss_reg: 2.3527 detection_loss_cls: 0.0392 detection_loss_reg: 0.4059 caption_loss_cls: 2.0877 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6660 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:05:50 - mmengine - INFO - Saving checkpoint at 446500 iterations 2023/11/05 15:10:55 - mmengine - INFO - Iter(train) [446600/480000] base_lr: 4.3562e-06 lr: 2.6109e-06 eta: 21:57:08 time: 2.3845 data_time: 0.1523 memory: 25736 grad_norm: 1.8799 loss: 1.1532 grounding_loss_reg: 2.3532 detection_loss_cls: 0.0391 detection_loss_reg: 0.4051 caption_loss_cls: 2.0901 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6651 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:14:53 - mmengine - INFO - Iter(train) [446700/480000] base_lr: 4.3422e-06 lr: 2.6072e-06 eta: 21:53:15 time: 2.3885 data_time: 0.1523 memory: 26576 grad_norm: 1.8667 loss: 1.1467 grounding_loss_reg: 2.3527 detection_loss_cls: 0.0392 detection_loss_reg: 0.4056 caption_loss_cls: 2.0892 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6656 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:18:24 - mmengine - INFO - Iter(train) [446800/480000] base_lr: 4.3282e-06 lr: 2.6036e-06 eta: 21:48:21 time: 2.3900 data_time: 0.1523 memory: 25736 grad_norm: 1.8683 loss: 1.1504 grounding_loss_reg: 2.3524 detection_loss_cls: 0.0392 detection_loss_reg: 0.4060 caption_loss_cls: 2.0911 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6662 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:22:23 - mmengine - INFO - Iter(train) [446900/480000] base_lr: 4.3142e-06 lr: 2.6000e-06 eta: 21:44:31 time: 2.3959 data_time: 0.1523 memory: 25736 grad_norm: 1.8645 loss: 1.1487 grounding_loss_reg: 2.3502 detection_loss_cls: 0.0392 detection_loss_reg: 0.4064 caption_loss_cls: 2.0906 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.6644 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:26:20 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 15:26:20 - mmengine - INFO - Iter(train) [447000/480000] base_lr: 4.3003e-06 lr: 2.5964e-06 eta: 21:40:35 time: 2.3980 data_time: 0.1523 memory: 26576 grad_norm: 1.8779 loss: 1.1555 grounding_loss_reg: 2.3515 detection_loss_cls: 0.0391 detection_loss_reg: 0.4059 caption_loss_cls: 2.0903 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.6652 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:26:20 - mmengine - INFO - Saving checkpoint at 447000 iterations 2023/11/05 15:31:18 - mmengine - INFO - Iter(train) [447100/480000] base_lr: 4.2865e-06 lr: 2.5928e-06 eta: 21:38:48 time: 2.4010 data_time: 0.1523 memory: 26576 grad_norm: 1.8656 loss: 1.1526 grounding_loss_reg: 2.3505 detection_loss_cls: 0.0392 detection_loss_reg: 0.4069 caption_loss_cls: 2.0891 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6655 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:34:53 - mmengine - INFO - Iter(train) [447200/480000] base_lr: 4.2726e-06 lr: 2.5892e-06 eta: 21:34:05 time: 2.3987 data_time: 0.1523 memory: 26576 grad_norm: 1.8738 loss: 1.1561 grounding_loss_reg: 2.3492 detection_loss_cls: 0.0392 detection_loss_reg: 0.4072 caption_loss_cls: 2.0873 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6653 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:38:37 - mmengine - INFO - Iter(train) [447300/480000] base_lr: 4.2588e-06 lr: 2.5856e-06 eta: 21:29:41 time: 2.3942 data_time: 0.1523 memory: 26576 grad_norm: 1.8788 loss: 1.1586 grounding_loss_reg: 2.3492 detection_loss_cls: 0.0392 detection_loss_reg: 0.4068 caption_loss_cls: 2.0875 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:42:20 - mmengine - INFO - Iter(train) [447400/480000] base_lr: 4.2451e-06 lr: 2.5821e-06 eta: 21:25:17 time: 2.3983 data_time: 0.1523 memory: 26576 grad_norm: 1.8797 loss: 1.1603 grounding_loss_reg: 2.3472 detection_loss_cls: 0.0392 detection_loss_reg: 0.4071 caption_loss_cls: 2.0908 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6663 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:46:10 - mmengine - INFO - Iter(train) [447500/480000] base_lr: 4.2314e-06 lr: 2.5785e-06 eta: 21:21:07 time: 2.4051 data_time: 0.1524 memory: 26576 grad_norm: 1.8621 loss: 1.1541 grounding_loss_reg: 2.3480 detection_loss_cls: 0.0391 detection_loss_reg: 0.4061 caption_loss_cls: 2.0920 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6661 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:46:10 - mmengine - INFO - Saving checkpoint at 447500 iterations 2023/11/05 15:51:12 - mmengine - INFO - Iter(train) [447600/480000] base_lr: 4.2177e-06 lr: 2.5750e-06 eta: 21:19:23 time: 2.4055 data_time: 0.1526 memory: 25736 grad_norm: 1.8739 loss: 1.1609 grounding_loss_reg: 2.3454 detection_loss_cls: 0.0390 detection_loss_reg: 0.4057 caption_loss_cls: 2.0958 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6650 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:54:58 - mmengine - INFO - Iter(train) [447700/480000] base_lr: 4.2041e-06 lr: 2.5714e-06 eta: 21:15:04 time: 2.4113 data_time: 0.1526 memory: 26576 grad_norm: 1.8802 loss: 1.1592 grounding_loss_reg: 2.3455 detection_loss_cls: 0.0392 detection_loss_reg: 0.4068 caption_loss_cls: 2.0975 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6658 semantic_segmentation_loss_cls: 0.0094 2023/11/05 15:58:22 - mmengine - INFO - Iter(train) [447800/480000] base_lr: 4.1905e-06 lr: 2.5679e-06 eta: 21:10:01 time: 2.4020 data_time: 0.1525 memory: 26576 grad_norm: 1.8791 loss: 1.1627 grounding_loss_reg: 2.3451 detection_loss_cls: 0.0393 detection_loss_reg: 0.4075 caption_loss_cls: 2.0992 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.6664 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:02:06 - mmengine - INFO - Iter(train) [447900/480000] base_lr: 4.1770e-06 lr: 2.5644e-06 eta: 21:05:40 time: 2.3982 data_time: 0.1525 memory: 25736 grad_norm: 1.8938 loss: 1.1677 grounding_loss_reg: 2.3433 detection_loss_cls: 0.0391 detection_loss_reg: 0.4063 caption_loss_cls: 2.0993 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:06:08 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 16:06:08 - mmengine - INFO - Iter(train) [448000/480000] base_lr: 4.1635e-06 lr: 2.5609e-06 eta: 21:01:53 time: 2.4041 data_time: 0.1526 memory: 25736 grad_norm: 1.8967 loss: 1.1717 grounding_loss_reg: 2.3449 detection_loss_cls: 0.0391 detection_loss_reg: 0.4062 caption_loss_cls: 2.0991 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6668 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:06:08 - mmengine - INFO - Saving checkpoint at 448000 iterations 2023/11/05 16:11:21 - mmengine - INFO - Iter(train) [448100/480000] base_lr: 4.1501e-06 lr: 2.5574e-06 eta: 21:00:24 time: 2.4101 data_time: 0.1524 memory: 26576 grad_norm: 1.8790 loss: 1.1670 grounding_loss_reg: 2.3458 detection_loss_cls: 0.0391 detection_loss_reg: 0.4063 caption_loss_cls: 2.0983 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6672 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:14:42 - mmengine - INFO - Iter(train) [448200/480000] base_lr: 4.1367e-06 lr: 2.5539e-06 eta: 20:55:18 time: 2.4063 data_time: 0.1524 memory: 25736 grad_norm: 1.8793 loss: 1.1683 grounding_loss_reg: 2.3420 detection_loss_cls: 0.0393 detection_loss_reg: 0.4070 caption_loss_cls: 2.0978 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6684 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:18:23 - mmengine - INFO - Iter(train) [448300/480000] base_lr: 4.1233e-06 lr: 2.5505e-06 eta: 20:50:52 time: 2.3984 data_time: 0.1523 memory: 25736 grad_norm: 1.9008 loss: 1.1738 grounding_loss_reg: 2.3411 detection_loss_cls: 0.0389 detection_loss_reg: 0.4050 caption_loss_cls: 2.0986 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6697 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:21:37 - mmengine - INFO - Iter(train) [448400/480000] base_lr: 4.1100e-06 lr: 2.5470e-06 eta: 20:45:35 time: 2.3887 data_time: 0.1522 memory: 26576 grad_norm: 1.9121 loss: 1.1771 grounding_loss_reg: 2.3401 detection_loss_cls: 0.0388 detection_loss_reg: 0.4047 caption_loss_cls: 2.0960 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6703 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:25:13 - mmengine - INFO - Iter(train) [448500/480000] base_lr: 4.0967e-06 lr: 2.5436e-06 eta: 20:40:59 time: 2.3924 data_time: 0.1523 memory: 26576 grad_norm: 1.9099 loss: 1.1778 grounding_loss_reg: 2.3391 detection_loss_cls: 0.0389 detection_loss_reg: 0.4046 caption_loss_cls: 2.0902 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6707 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:25:13 - mmengine - INFO - Saving checkpoint at 448500 iterations 2023/11/05 16:29:58 - mmengine - INFO - Iter(train) [448600/480000] base_lr: 4.0834e-06 lr: 2.5402e-06 eta: 20:38:33 time: 2.3891 data_time: 0.1520 memory: 25736 grad_norm: 1.9185 loss: 1.1844 grounding_loss_reg: 2.3389 detection_loss_cls: 0.0391 detection_loss_reg: 0.4051 caption_loss_cls: 2.0910 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:33:20 - mmengine - INFO - Iter(train) [448700/480000] base_lr: 4.0702e-06 lr: 2.5367e-06 eta: 20:33:32 time: 2.3858 data_time: 0.1520 memory: 25736 grad_norm: 1.9241 loss: 1.1850 grounding_loss_reg: 2.3370 detection_loss_cls: 0.0392 detection_loss_reg: 0.4055 caption_loss_cls: 2.0906 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6718 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:37:10 - mmengine - INFO - Iter(train) [448800/480000] base_lr: 4.0571e-06 lr: 2.5333e-06 eta: 20:29:24 time: 2.3909 data_time: 0.1520 memory: 26576 grad_norm: 1.9250 loss: 1.1814 grounding_loss_reg: 2.3384 detection_loss_cls: 0.0389 detection_loss_reg: 0.4041 caption_loss_cls: 2.0864 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2611 instance_segmentation_loss_poly: 0.6719 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:40:38 - mmengine - INFO - Iter(train) [448900/480000] base_lr: 4.0440e-06 lr: 2.5299e-06 eta: 20:24:37 time: 2.3817 data_time: 0.1519 memory: 25736 grad_norm: 1.9266 loss: 1.1857 grounding_loss_reg: 2.3389 detection_loss_cls: 0.0388 detection_loss_reg: 0.4041 caption_loss_cls: 2.0824 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:44:17 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 16:44:17 - mmengine - INFO - Iter(train) [449000/480000] base_lr: 4.0309e-06 lr: 2.5265e-06 eta: 20:20:10 time: 2.3821 data_time: 0.1518 memory: 26576 grad_norm: 1.9221 loss: 1.1910 grounding_loss_reg: 2.3393 detection_loss_cls: 0.0389 detection_loss_reg: 0.4042 caption_loss_cls: 2.0815 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0094 2023/11/05 16:44:17 - mmengine - INFO - Saving checkpoint at 449000 iterations 2023/11/05 16:49:05 - mmengine - INFO - Iter(train) [449100/480000] base_lr: 4.0178e-06 lr: 2.5231e-06 eta: 20:17:45 time: 2.3833 data_time: 0.1525 memory: 25736 grad_norm: 1.9295 loss: 1.1955 grounding_loss_reg: 2.3398 detection_loss_cls: 0.0388 detection_loss_reg: 0.4042 caption_loss_cls: 2.0810 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:53:14 - mmengine - INFO - Iter(train) [449200/480000] base_lr: 4.0048e-06 lr: 2.5198e-06 eta: 20:14:10 time: 2.3890 data_time: 0.1526 memory: 26576 grad_norm: 1.9170 loss: 1.1922 grounding_loss_reg: 2.3410 detection_loss_cls: 0.0386 detection_loss_reg: 0.4027 caption_loss_cls: 2.0806 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2613 instance_segmentation_loss_poly: 0.6714 semantic_segmentation_loss_cls: 0.0093 2023/11/05 16:56:54 - mmengine - INFO - Iter(train) [449300/480000] base_lr: 3.9919e-06 lr: 2.5164e-06 eta: 20:09:45 time: 2.3849 data_time: 0.1525 memory: 26576 grad_norm: 1.9267 loss: 1.1899 grounding_loss_reg: 2.3382 detection_loss_cls: 0.0386 detection_loss_reg: 0.4014 caption_loss_cls: 2.0815 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.6725 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:00:24 - mmengine - INFO - Iter(train) [449400/480000] base_lr: 3.9790e-06 lr: 2.5131e-06 eta: 20:05:03 time: 2.3790 data_time: 0.1525 memory: 25736 grad_norm: 1.9380 loss: 1.1900 grounding_loss_reg: 2.3385 detection_loss_cls: 0.0386 detection_loss_reg: 0.4014 caption_loss_cls: 2.0790 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6696 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:04:22 - mmengine - INFO - Iter(train) [449500/480000] base_lr: 3.9661e-06 lr: 2.5097e-06 eta: 20:01:09 time: 2.3827 data_time: 0.1524 memory: 26576 grad_norm: 1.9300 loss: 1.1901 grounding_loss_reg: 2.3379 detection_loss_cls: 0.0386 detection_loss_reg: 0.4011 caption_loss_cls: 2.0813 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.6700 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:04:22 - mmengine - INFO - Saving checkpoint at 449500 iterations 2023/11/05 17:09:19 - mmengine - INFO - Iter(train) [449600/480000] base_lr: 3.9533e-06 lr: 2.5064e-06 eta: 19:58:54 time: 2.3845 data_time: 0.1531 memory: 25736 grad_norm: 1.9297 loss: 1.1949 grounding_loss_reg: 2.3380 detection_loss_cls: 0.0385 detection_loss_reg: 0.3996 caption_loss_cls: 2.0819 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6690 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:12:32 - mmengine - INFO - Iter(train) [449700/480000] base_lr: 3.9405e-06 lr: 2.5031e-06 eta: 19:53:45 time: 2.3738 data_time: 0.1530 memory: 25736 grad_norm: 1.9352 loss: 1.1950 grounding_loss_reg: 2.3353 detection_loss_cls: 0.0386 detection_loss_reg: 0.4003 caption_loss_cls: 2.0831 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6692 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:16:35 - mmengine - INFO - Iter(train) [449800/480000] base_lr: 3.9277e-06 lr: 2.4998e-06 eta: 19:49:59 time: 2.3789 data_time: 0.1530 memory: 26576 grad_norm: 1.9391 loss: 1.1944 grounding_loss_reg: 2.3348 detection_loss_cls: 0.0387 detection_loss_reg: 0.4004 caption_loss_cls: 2.0813 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.6685 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:20:30 - mmengine - INFO - Iter(train) [449900/480000] base_lr: 3.9150e-06 lr: 2.4965e-06 eta: 19:46:01 time: 2.3818 data_time: 0.1532 memory: 26576 grad_norm: 1.9281 loss: 1.1958 grounding_loss_reg: 2.3365 detection_loss_cls: 0.0387 detection_loss_reg: 0.4009 caption_loss_cls: 2.0801 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6714 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:24:21 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 17:24:21 - mmengine - INFO - Iter(train) [450000/480000] base_lr: 3.9024e-06 lr: 2.4932e-06 eta: 19:41:56 time: 2.3792 data_time: 0.1532 memory: 26576 grad_norm: 1.9371 loss: 1.2047 grounding_loss_reg: 2.3401 detection_loss_cls: 0.0386 detection_loss_reg: 0.4014 caption_loss_cls: 2.0804 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6724 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:24:21 - mmengine - INFO - Saving checkpoint at 450000 iterations 2023/11/05 17:30:31 - mmengine - INFO - Evaluating bbox... 2023/11/05 17:31:38 - mmengine - INFO - bbox_mAP_copypaste: 0.531 0.708 0.580 0.383 0.576 0.687 2023/11/05 17:31:38 - mmengine - INFO - Evaluating segm... 2023/11/05 17:32:57 - mmengine - INFO - segm_mAP_copypaste: 0.354 0.621 0.353 0.222 0.402 0.547 2023/11/05 17:34:21 - mmengine - INFO - Evaluating bbox... 2023/11/05 17:35:26 - mmengine - INFO - bbox_mAP_copypaste: 0.531 0.708 0.580 0.383 0.577 0.687 2023/11/05 17:38:11 - mmengine - INFO - per class results: 2023/11/05 17:38:11 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.98 | 89.45 | | building | 83.03 | 91.74 | | sky | 93.29 | 97.84 | | floor | 82.84 | 90.01 | | tree | 74.66 | 88.11 | | ceiling | 84.74 | 94.09 | | road | 85.47 | 90.07 | | bed | 89.93 | 95.58 | | windowpane | 63.87 | 80.67 | | grass | 68.5 | 81.73 | | cabinet | 63.45 | 73.71 | | sidewalk | 68.97 | 81.39 | | person | 81.73 | 91.69 | | earth | 46.87 | 61.39 | | door | 53.47 | 66.3 | | table | 66.25 | 81.33 | | mountain | 61.21 | 76.72 | | plant | 54.33 | 63.24 | | curtain | 74.18 | 87.78 | | chair | 60.42 | 73.78 | | car | 83.44 | 92.21 | | water | 62.46 | 75.97 | | painting | 73.1 | 86.95 | | sofa | 74.64 | 86.01 | | shelf | 45.45 | 64.74 | | house | 40.78 | 61.43 | | sea | 67.82 | 88.36 | | mirror | 69.13 | 77.96 | | rug | 68.44 | 78.88 | | field | 30.55 | 50.4 | | armchair | 53.84 | 73.35 | | seat | 67.42 | 85.11 | | fence | 45.64 | 60.08 | | desk | 55.37 | 75.23 | | rock | 44.8 | 62.64 | | wardrobe | 55.08 | 72.8 | | lamp | 62.02 | 74.27 | | bathtub | 86.52 | 89.92 | | railing | 33.99 | 46.55 | | cushion | 62.3 | 74.44 | | base | 27.36 | 42.74 | | box | 30.91 | 41.4 | | column | 48.53 | 63.34 | | signboard | 38.26 | 53.28 | | chest of drawers | 42.54 | 69.81 | | counter | 26.83 | 33.64 | | sand | 59.56 | 76.02 | | sink | 77.53 | 85.78 | | skyscraper | 49.06 | 57.02 | | fireplace | 72.38 | 86.78 | | refrigerator | 79.17 | 87.78 | | grandstand | 47.48 | 78.61 | | path | 27.98 | 44.74 | | stairs | 36.37 | 47.88 | | runway | 74.57 | 94.56 | | case | 52.05 | 65.39 | | pool table | 91.43 | 95.46 | | pillow | 56.74 | 69.05 | | screen door | 77.42 | 80.84 | | stairway | 34.43 | 43.19 | | river | 14.85 | 26.08 | | bridge | 71.4 | 86.06 | | bookcase | 39.02 | 60.33 | | blind | 40.06 | 43.64 | | coffee table | 64.5 | 80.07 | | toilet | 88.04 | 92.32 | | flower | 36.16 | 51.55 | | book | 45.91 | 67.05 | | hill | 10.48 | 16.08 | | bench | 57.97 | 71.1 | | countertop | 63.94 | 76.4 | | stove | 75.03 | 82.76 | | palm | 49.23 | 67.14 | | kitchen island | 40.73 | 83.03 | | computer | 73.07 | 85.69 | | swivel chair | 45.67 | 60.21 | | boat | 64.52 | 78.11 | | bar | 42.01 | 53.78 | | arcade machine | 68.96 | 75.5 | | hovel | 40.75 | 46.16 | | bus | 92.7 | 95.61 | | towel | 65.75 | 79.8 | | light | 49.55 | 57.6 | | truck | 43.31 | 61.49 | | tower | 48.6 | 79.19 | | chandelier | 61.32 | 76.24 | | awning | 29.13 | 34.75 | | streetlight | 30.61 | 39.15 | | booth | 41.24 | 47.91 | | television receiver | 71.68 | 85.56 | | airplane | 63.9 | 71.72 | | dirt track | 1.73 | 8.25 | | apparel | 42.38 | 58.04 | | pole | 28.02 | 40.96 | | land | 0.64 | 0.79 | | bannister | 14.68 | 20.8 | | escalator | 23.2 | 24.53 | | ottoman | 49.1 | 72.42 | | bottle | 28.38 | 35.59 | | buffet | 49.2 | 56.31 | | poster | 31.79 | 41.48 | | stage | 9.58 | 16.31 | | van | 39.18 | 47.4 | | ship | 75.7 | 83.38 | | fountain | 32.46 | 33.84 | | conveyer belt | 70.91 | 88.99 | | canopy | 28.6 | 35.2 | | washer | 72.42 | 74.74 | | plaything | 25.55 | 31.24 | | swimming pool | 83.34 | 88.73 | | stool | 48.94 | 63.28 | | barrel | 54.63 | 64.92 | | basket | 28.56 | 45.71 | | waterfall | 66.1 | 72.54 | | tent | 89.02 | 97.15 | | bag | 21.41 | 26.06 | | minibike | 73.37 | 88.5 | | cradle | 77.42 | 93.48 | | oven | 47.16 | 60.7 | | ball | 50.66 | 65.71 | | food | 50.78 | 55.28 | | step | 8.91 | 11.46 | | tank | 41.81 | 60.1 | | trade name | 21.93 | 23.86 | | microwave | 87.36 | 95.0 | | pot | 54.26 | 62.35 | | animal | 67.38 | 70.95 | | bicycle | 60.65 | 78.17 | | lake | 52.68 | 62.77 | | dishwasher | 72.85 | 77.82 | | screen | 72.71 | 83.4 | | blanket | 16.67 | 19.48 | | sculpture | 75.48 | 84.73 | | hood | 70.47 | 85.1 | | sconce | 43.7 | 54.5 | | vase | 42.7 | 58.74 | | traffic light | 39.12 | 52.71 | | tray | 16.53 | 30.57 | | ashcan | 43.33 | 61.96 | | fan | 60.24 | 71.78 | | pier | 36.64 | 39.7 | | crt screen | 8.76 | 17.2 | | plate | 56.66 | 69.94 | | monitor | 27.55 | 35.08 | | bulletin board | 44.42 | 51.03 | | shower | 4.91 | 6.29 | | radiator | 57.04 | 66.65 | | glass | 17.95 | 19.17 | | clock | 27.53 | 33.64 | | flag | 63.33 | 71.07 | +---------------------+-------+-------+ 2023/11/05 17:38:34 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.1650 data_time: 0.0110 memory: 27858 2023/11/05 17:38:55 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5310 coco/bbox_mAP_50: 0.7080 coco/bbox_mAP_75: 0.5800 coco/bbox_mAP_s: 0.3830 coco/bbox_mAP_m: 0.5770 coco/bbox_mAP_l: 0.6870 coco/segm_mAP: 0.3540 coco/segm_mAP_50: 0.6210 coco/segm_mAP_75: 0.3530 coco/segm_mAP_s: 0.2220 coco/segm_mAP_m: 0.4020 coco/segm_mAP_l: 0.5470 Bleu_1: 0.7715 Bleu_2: 0.6093 Bleu_3: 0.4694 Bleu_4: 0.3588 METEOR: 0.2914 ROUGE_L: 0.5793 CIDEr: 1.2085 SPICE: 0.2180 aAcc: 84.3800 mIoU: 52.7200 mAcc: 64.2100 visual-grounding/miou: 0.8188 visual-grounding/acc: 0.8820 data_time: 0.0012 time: 0.2292 2023/11/05 17:42:39 - mmengine - INFO - Iter(train) [450100/480000] base_lr: 3.8898e-06 lr: 2.4899e-06 eta: 19:37:47 time: 2.3605 data_time: 0.1368 memory: 26576 grad_norm: 1.9269 loss: 1.1998 grounding_loss_reg: 2.3389 detection_loss_cls: 0.0386 detection_loss_reg: 0.4011 caption_loss_cls: 2.0813 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6720 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:46:13 - mmengine - INFO - Iter(train) [450200/480000] base_lr: 3.8772e-06 lr: 2.4867e-06 eta: 19:33:15 time: 2.3580 data_time: 0.1369 memory: 26576 grad_norm: 1.9196 loss: 1.2013 grounding_loss_reg: 2.3369 detection_loss_cls: 0.0386 detection_loss_reg: 0.4005 caption_loss_cls: 2.0812 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2624 instance_segmentation_loss_poly: 0.6730 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:50:06 - mmengine - INFO - Iter(train) [450300/480000] base_lr: 3.8646e-06 lr: 2.4834e-06 eta: 19:29:13 time: 2.3595 data_time: 0.1369 memory: 25736 grad_norm: 1.9160 loss: 1.1935 grounding_loss_reg: 2.3356 detection_loss_cls: 0.0386 detection_loss_reg: 0.4006 caption_loss_cls: 2.0783 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6741 semantic_segmentation_loss_cls: 0.0094 2023/11/05 17:53:48 - mmengine - INFO - Iter(train) [450400/480000] base_lr: 3.8522e-06 lr: 2.4802e-06 eta: 19:24:55 time: 2.3569 data_time: 0.1369 memory: 25736 grad_norm: 1.9182 loss: 1.1898 grounding_loss_reg: 2.3372 detection_loss_cls: 0.0386 detection_loss_reg: 0.4006 caption_loss_cls: 2.0772 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2624 instance_segmentation_loss_poly: 0.6731 semantic_segmentation_loss_cls: 0.0093 2023/11/05 17:57:25 - mmengine - INFO - Iter(train) [450500/480000] base_lr: 3.8397e-06 lr: 2.4770e-06 eta: 19:20:29 time: 2.3557 data_time: 0.1367 memory: 26576 grad_norm: 1.9128 loss: 1.1823 grounding_loss_reg: 2.3385 detection_loss_cls: 0.0386 detection_loss_reg: 0.4003 caption_loss_cls: 2.0753 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6724 semantic_segmentation_loss_cls: 0.0094 2023/11/05 17:57:25 - mmengine - INFO - Saving checkpoint at 450500 iterations 2023/11/05 18:02:25 - mmengine - INFO - Iter(train) [450600/480000] base_lr: 3.8273e-06 lr: 2.4737e-06 eta: 19:18:11 time: 2.3543 data_time: 0.1362 memory: 25736 grad_norm: 1.9098 loss: 1.1796 grounding_loss_reg: 2.3339 detection_loss_cls: 0.0387 detection_loss_reg: 0.4009 caption_loss_cls: 2.0768 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:06:20 - mmengine - INFO - Iter(train) [450700/480000] base_lr: 3.8149e-06 lr: 2.4705e-06 eta: 19:14:13 time: 2.3537 data_time: 0.1362 memory: 26576 grad_norm: 1.9078 loss: 1.1789 grounding_loss_reg: 2.3335 detection_loss_cls: 0.0387 detection_loss_reg: 0.4010 caption_loss_cls: 2.0770 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6694 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:10:04 - mmengine - INFO - Iter(train) [450800/480000] base_lr: 3.8026e-06 lr: 2.4673e-06 eta: 19:09:57 time: 2.3569 data_time: 0.1363 memory: 25736 grad_norm: 1.9086 loss: 1.1768 grounding_loss_reg: 2.3333 detection_loss_cls: 0.0386 detection_loss_reg: 0.4006 caption_loss_cls: 2.0767 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6704 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:13:57 - mmengine - INFO - Iter(train) [450900/480000] base_lr: 3.7903e-06 lr: 2.4642e-06 eta: 19:05:57 time: 2.3555 data_time: 0.1363 memory: 26576 grad_norm: 1.9092 loss: 1.1748 grounding_loss_reg: 2.3330 detection_loss_cls: 0.0386 detection_loss_reg: 0.3999 caption_loss_cls: 2.0765 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:17:50 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 18:17:50 - mmengine - INFO - Iter(train) [451000/480000] base_lr: 3.7781e-06 lr: 2.4610e-06 eta: 19:01:55 time: 2.3545 data_time: 0.1363 memory: 26576 grad_norm: 1.9118 loss: 1.1708 grounding_loss_reg: 2.3333 detection_loss_cls: 0.0385 detection_loss_reg: 0.4001 caption_loss_cls: 2.0746 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2613 instance_segmentation_loss_poly: 0.6692 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:17:50 - mmengine - INFO - Saving checkpoint at 451000 iterations 2023/11/05 18:23:01 - mmengine - INFO - Iter(train) [451100/480000] base_lr: 3.7658e-06 lr: 2.4578e-06 eta: 18:59:49 time: 2.3576 data_time: 0.1370 memory: 25736 grad_norm: 1.9068 loss: 1.1645 grounding_loss_reg: 2.3313 detection_loss_cls: 0.0385 detection_loss_reg: 0.3999 caption_loss_cls: 2.0757 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.6672 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:27:01 - mmengine - INFO - Iter(train) [451200/480000] base_lr: 3.7537e-06 lr: 2.4547e-06 eta: 18:55:57 time: 2.3640 data_time: 0.1370 memory: 26576 grad_norm: 1.9024 loss: 1.1617 grounding_loss_reg: 2.3301 detection_loss_cls: 0.0385 detection_loss_reg: 0.4001 caption_loss_cls: 2.0757 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.6663 semantic_segmentation_loss_cls: 0.0094 2023/11/05 18:30:34 - mmengine - INFO - Iter(train) [451300/480000] base_lr: 3.7416e-06 lr: 2.4515e-06 eta: 18:51:25 time: 2.3611 data_time: 0.1369 memory: 26576 grad_norm: 1.9144 loss: 1.1640 grounding_loss_reg: 2.3286 detection_loss_cls: 0.0386 detection_loss_reg: 0.4010 caption_loss_cls: 2.0737 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6668 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:34:20 - mmengine - INFO - Iter(train) [451400/480000] base_lr: 3.7295e-06 lr: 2.4484e-06 eta: 18:47:14 time: 2.3620 data_time: 0.1370 memory: 25736 grad_norm: 1.9080 loss: 1.1590 grounding_loss_reg: 2.3247 detection_loss_cls: 0.0386 detection_loss_reg: 0.4016 caption_loss_cls: 2.0732 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6663 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:38:07 - mmengine - INFO - Iter(train) [451500/480000] base_lr: 3.7174e-06 lr: 2.4453e-06 eta: 18:43:03 time: 2.3610 data_time: 0.1369 memory: 26576 grad_norm: 1.9049 loss: 1.1534 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0385 detection_loss_reg: 0.4009 caption_loss_cls: 2.0740 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6670 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:38:07 - mmengine - INFO - Saving checkpoint at 451500 iterations 2023/11/05 18:42:39 - mmengine - INFO - Iter(train) [451600/480000] base_lr: 3.7054e-06 lr: 2.4422e-06 eta: 18:39:57 time: 2.3536 data_time: 0.1362 memory: 26576 grad_norm: 1.9063 loss: 1.1547 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0386 detection_loss_reg: 0.4019 caption_loss_cls: 2.0734 instance_segmentation_loss_cls: 0.0248 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:46:34 - mmengine - INFO - Iter(train) [451700/480000] base_lr: 3.6935e-06 lr: 2.4391e-06 eta: 18:35:58 time: 2.3558 data_time: 0.1363 memory: 26576 grad_norm: 1.8892 loss: 1.1478 grounding_loss_reg: 2.3231 detection_loss_cls: 0.0386 detection_loss_reg: 0.4017 caption_loss_cls: 2.0740 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2596 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:50:14 - mmengine - INFO - Iter(train) [451800/480000] base_lr: 3.6816e-06 lr: 2.4360e-06 eta: 18:31:39 time: 2.3599 data_time: 0.1363 memory: 26576 grad_norm: 1.8873 loss: 1.1420 grounding_loss_reg: 2.3225 detection_loss_cls: 0.0386 detection_loss_reg: 0.4015 caption_loss_cls: 2.0743 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6666 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:54:10 - mmengine - INFO - Iter(train) [451900/480000] base_lr: 3.6697e-06 lr: 2.4329e-06 eta: 18:27:41 time: 2.3629 data_time: 0.1363 memory: 26576 grad_norm: 1.8769 loss: 1.1416 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0386 detection_loss_reg: 0.4021 caption_loss_cls: 2.0723 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.6670 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:58:01 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 18:58:01 - mmengine - INFO - Iter(train) [452000/480000] base_lr: 3.6579e-06 lr: 2.4298e-06 eta: 18:23:37 time: 2.3601 data_time: 0.1362 memory: 26576 grad_norm: 1.8759 loss: 1.1387 grounding_loss_reg: 2.3216 detection_loss_cls: 0.0386 detection_loss_reg: 0.4018 caption_loss_cls: 2.0713 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.6681 semantic_segmentation_loss_cls: 0.0093 2023/11/05 18:58:01 - mmengine - INFO - Saving checkpoint at 452000 iterations 2023/11/05 19:02:44 - mmengine - INFO - Iter(train) [452100/480000] base_lr: 3.6461e-06 lr: 2.4268e-06 eta: 18:20:44 time: 2.3527 data_time: 0.1356 memory: 26576 grad_norm: 1.8853 loss: 1.1424 grounding_loss_reg: 2.3228 detection_loss_cls: 0.0386 detection_loss_reg: 0.4025 caption_loss_cls: 2.0756 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2611 instance_segmentation_loss_poly: 0.6700 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:06:29 - mmengine - INFO - Iter(train) [452200/480000] base_lr: 3.6343e-06 lr: 2.4237e-06 eta: 18:16:31 time: 2.3587 data_time: 0.1356 memory: 25736 grad_norm: 1.8767 loss: 1.1352 grounding_loss_reg: 2.3233 detection_loss_cls: 0.0387 detection_loss_reg: 0.4025 caption_loss_cls: 2.0776 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:10:26 - mmengine - INFO - Iter(train) [452300/480000] base_lr: 3.6226e-06 lr: 2.4207e-06 eta: 18:12:34 time: 2.3624 data_time: 0.1357 memory: 26576 grad_norm: 1.8628 loss: 1.1328 grounding_loss_reg: 2.3234 detection_loss_cls: 0.0386 detection_loss_reg: 0.4036 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6699 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:14:16 - mmengine - INFO - Iter(train) [452400/480000] base_lr: 3.6110e-06 lr: 2.4177e-06 eta: 18:08:29 time: 2.3715 data_time: 0.1357 memory: 26576 grad_norm: 1.8606 loss: 1.1333 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0387 detection_loss_reg: 0.4037 caption_loss_cls: 2.0764 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6706 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:17:59 - mmengine - INFO - Iter(train) [452500/480000] base_lr: 3.5994e-06 lr: 2.4146e-06 eta: 18:04:14 time: 2.3734 data_time: 0.1357 memory: 26576 grad_norm: 1.8728 loss: 1.1349 grounding_loss_reg: 2.3231 detection_loss_cls: 0.0387 detection_loss_reg: 0.4043 caption_loss_cls: 2.0752 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6709 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:17:59 - mmengine - INFO - Saving checkpoint at 452500 iterations 2023/11/05 19:22:33 - mmengine - INFO - Iter(train) [452600/480000] base_lr: 3.5878e-06 lr: 2.4116e-06 eta: 18:01:07 time: 2.3707 data_time: 0.1365 memory: 26576 grad_norm: 1.8823 loss: 1.1385 grounding_loss_reg: 2.3239 detection_loss_cls: 0.0387 detection_loss_reg: 0.4043 caption_loss_cls: 2.0725 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:25:56 - mmengine - INFO - Iter(train) [452700/480000] base_lr: 3.5762e-06 lr: 2.4087e-06 eta: 17:56:26 time: 2.3710 data_time: 0.1364 memory: 26576 grad_norm: 1.8799 loss: 1.1382 grounding_loss_reg: 2.3251 detection_loss_cls: 0.0385 detection_loss_reg: 0.4034 caption_loss_cls: 2.0745 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6717 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:29:47 - mmengine - INFO - Iter(train) [452800/480000] base_lr: 3.5647e-06 lr: 2.4057e-06 eta: 17:52:23 time: 2.3713 data_time: 0.1364 memory: 26576 grad_norm: 1.8761 loss: 1.1346 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0385 detection_loss_reg: 0.4033 caption_loss_cls: 2.0708 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2617 instance_segmentation_loss_poly: 0.6712 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:33:44 - mmengine - INFO - Iter(train) [452900/480000] base_lr: 3.5533e-06 lr: 2.4027e-06 eta: 17:48:27 time: 2.3784 data_time: 0.1366 memory: 26576 grad_norm: 1.8850 loss: 1.1369 grounding_loss_reg: 2.3224 detection_loss_cls: 0.0385 detection_loss_reg: 0.4036 caption_loss_cls: 2.0704 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2623 instance_segmentation_loss_poly: 0.6715 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:37:25 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 19:37:25 - mmengine - INFO - Iter(train) [453000/480000] base_lr: 3.5419e-06 lr: 2.3997e-06 eta: 17:44:10 time: 2.3788 data_time: 0.1366 memory: 25736 grad_norm: 1.8793 loss: 1.1320 grounding_loss_reg: 2.3223 detection_loss_cls: 0.0385 detection_loss_reg: 0.4040 caption_loss_cls: 2.0734 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6709 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:37:25 - mmengine - INFO - Saving checkpoint at 453000 iterations 2023/11/05 19:42:25 - mmengine - INFO - Iter(train) [453100/480000] base_lr: 3.5305e-06 lr: 2.3968e-06 eta: 17:41:32 time: 2.3818 data_time: 0.1362 memory: 25736 grad_norm: 1.8738 loss: 1.1328 grounding_loss_reg: 2.3196 detection_loss_cls: 0.0385 detection_loss_reg: 0.4038 caption_loss_cls: 2.0760 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6710 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:46:21 - mmengine - INFO - Iter(train) [453200/480000] base_lr: 3.5192e-06 lr: 2.3939e-06 eta: 17:37:35 time: 2.3786 data_time: 0.1361 memory: 25736 grad_norm: 1.8847 loss: 1.1310 grounding_loss_reg: 2.3192 detection_loss_cls: 0.0386 detection_loss_reg: 0.4045 caption_loss_cls: 2.0753 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2621 instance_segmentation_loss_poly: 0.6708 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:50:00 - mmengine - INFO - Iter(train) [453300/480000] base_lr: 3.5079e-06 lr: 2.3909e-06 eta: 17:33:16 time: 2.3783 data_time: 0.1362 memory: 26576 grad_norm: 1.8845 loss: 1.1328 grounding_loss_reg: 2.3172 detection_loss_cls: 0.0387 detection_loss_reg: 0.4046 caption_loss_cls: 2.0744 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6723 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:53:47 - mmengine - INFO - Iter(train) [453400/480000] base_lr: 3.4967e-06 lr: 2.3880e-06 eta: 17:29:07 time: 2.3826 data_time: 0.1362 memory: 26576 grad_norm: 1.8734 loss: 1.1292 grounding_loss_reg: 2.3173 detection_loss_cls: 0.0386 detection_loss_reg: 0.4037 caption_loss_cls: 2.0765 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6732 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:57:29 - mmengine - INFO - Iter(train) [453500/480000] base_lr: 3.4854e-06 lr: 2.3851e-06 eta: 17:24:53 time: 2.3787 data_time: 0.1362 memory: 26576 grad_norm: 1.8854 loss: 1.1297 grounding_loss_reg: 2.3179 detection_loss_cls: 0.0386 detection_loss_reg: 0.4044 caption_loss_cls: 2.0780 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6731 semantic_segmentation_loss_cls: 0.0093 2023/11/05 19:57:29 - mmengine - INFO - Saving checkpoint at 453500 iterations 2023/11/05 20:02:22 - mmengine - INFO - Iter(train) [453600/480000] base_lr: 3.4743e-06 lr: 2.3822e-06 eta: 17:22:04 time: 2.3778 data_time: 0.1356 memory: 26576 grad_norm: 1.8857 loss: 1.1264 grounding_loss_reg: 2.3179 detection_loss_cls: 0.0386 detection_loss_reg: 0.4043 caption_loss_cls: 2.0781 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0093 2023/11/05 20:06:29 - mmengine - INFO - Iter(train) [453700/480000] base_lr: 3.4632e-06 lr: 2.3793e-06 eta: 17:18:19 time: 2.3911 data_time: 0.1357 memory: 26576 grad_norm: 1.8686 loss: 1.1171 grounding_loss_reg: 2.3180 detection_loss_cls: 0.0386 detection_loss_reg: 0.4052 caption_loss_cls: 2.0783 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6730 semantic_segmentation_loss_cls: 0.0093 2023/11/05 20:10:09 - mmengine - INFO - Iter(train) [453800/480000] base_lr: 3.4521e-06 lr: 2.3765e-06 eta: 17:14:02 time: 2.3855 data_time: 0.1356 memory: 25736 grad_norm: 1.8640 loss: 1.1192 grounding_loss_reg: 2.3181 detection_loss_cls: 0.0385 detection_loss_reg: 0.4053 caption_loss_cls: 2.0797 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0093 2023/11/05 20:13:53 - mmengine - INFO - Iter(train) [453900/480000] base_lr: 3.4411e-06 lr: 2.3736e-06 eta: 17:09:50 time: 2.3824 data_time: 0.1355 memory: 25736 grad_norm: 1.8808 loss: 1.1265 grounding_loss_reg: 2.3180 detection_loss_cls: 0.0386 detection_loss_reg: 0.4057 caption_loss_cls: 2.0806 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6737 semantic_segmentation_loss_cls: 0.0093 2023/11/05 20:17:39 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 20:17:39 - mmengine - INFO - Iter(train) [454000/480000] base_lr: 3.4301e-06 lr: 2.3708e-06 eta: 17:05:41 time: 2.3813 data_time: 0.1355 memory: 25736 grad_norm: 1.8708 loss: 1.1219 grounding_loss_reg: 2.3185 detection_loss_cls: 0.0387 detection_loss_reg: 0.4056 caption_loss_cls: 2.0773 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6752 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:17:39 - mmengine - INFO - Saving checkpoint at 454000 iterations 2023/11/05 20:22:27 - mmengine - INFO - Iter(train) [454100/480000] base_lr: 3.4191e-06 lr: 2.3679e-06 eta: 17:02:42 time: 2.3961 data_time: 0.1514 memory: 25736 grad_norm: 1.8778 loss: 1.1253 grounding_loss_reg: 2.3167 detection_loss_cls: 0.0386 detection_loss_reg: 0.4045 caption_loss_cls: 2.0761 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6751 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:25:52 - mmengine - INFO - Iter(train) [454200/480000] base_lr: 3.4082e-06 lr: 2.3651e-06 eta: 16:58:09 time: 2.3939 data_time: 0.1513 memory: 26576 grad_norm: 1.8816 loss: 1.1254 grounding_loss_reg: 2.3182 detection_loss_cls: 0.0386 detection_loss_reg: 0.4047 caption_loss_cls: 2.0739 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6747 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:29:42 - mmengine - INFO - Iter(train) [454300/480000] base_lr: 3.3973e-06 lr: 2.3623e-06 eta: 16:54:05 time: 2.3932 data_time: 0.1513 memory: 25736 grad_norm: 1.8747 loss: 1.1284 grounding_loss_reg: 2.3196 detection_loss_cls: 0.0387 detection_loss_reg: 0.4048 caption_loss_cls: 2.0747 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6752 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:33:35 - mmengine - INFO - Iter(train) [454400/480000] base_lr: 3.3865e-06 lr: 2.3595e-06 eta: 16:50:04 time: 2.3960 data_time: 0.1514 memory: 25736 grad_norm: 1.8702 loss: 1.1325 grounding_loss_reg: 2.3225 detection_loss_cls: 0.0386 detection_loss_reg: 0.4040 caption_loss_cls: 2.0724 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2645 instance_segmentation_loss_poly: 0.6769 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:37:30 - mmengine - INFO - Iter(train) [454500/480000] base_lr: 3.3757e-06 lr: 2.3567e-06 eta: 16:46:06 time: 2.4004 data_time: 0.1515 memory: 26576 grad_norm: 1.8728 loss: 1.1341 grounding_loss_reg: 2.3212 detection_loss_cls: 0.0388 detection_loss_reg: 0.4051 caption_loss_cls: 2.0737 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2646 instance_segmentation_loss_poly: 0.6774 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:37:30 - mmengine - INFO - Saving checkpoint at 454500 iterations 2023/11/05 20:42:07 - mmengine - INFO - Iter(train) [454600/480000] base_lr: 3.3650e-06 lr: 2.3539e-06 eta: 16:42:53 time: 2.3948 data_time: 0.1514 memory: 25736 grad_norm: 1.8806 loss: 1.1384 grounding_loss_reg: 2.3201 detection_loss_cls: 0.0389 detection_loss_reg: 0.4057 caption_loss_cls: 2.0778 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2643 instance_segmentation_loss_poly: 0.6760 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:45:42 - mmengine - INFO - Iter(train) [454700/480000] base_lr: 3.3543e-06 lr: 2.3511e-06 eta: 16:38:32 time: 2.3896 data_time: 0.1513 memory: 25736 grad_norm: 1.8977 loss: 1.1447 grounding_loss_reg: 2.3211 detection_loss_cls: 0.0391 detection_loss_reg: 0.4064 caption_loss_cls: 2.0788 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2642 instance_segmentation_loss_poly: 0.6755 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:49:18 - mmengine - INFO - Iter(train) [454800/480000] base_lr: 3.3436e-06 lr: 2.3483e-06 eta: 16:34:13 time: 2.3878 data_time: 0.1513 memory: 26576 grad_norm: 1.9041 loss: 1.1470 grounding_loss_reg: 2.3218 detection_loss_cls: 0.0391 detection_loss_reg: 0.4061 caption_loss_cls: 2.0804 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2644 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:52:47 - mmengine - INFO - Iter(train) [454900/480000] base_lr: 3.3330e-06 lr: 2.3456e-06 eta: 16:29:45 time: 2.3814 data_time: 0.1512 memory: 26576 grad_norm: 1.9016 loss: 1.1505 grounding_loss_reg: 2.3221 detection_loss_cls: 0.0391 detection_loss_reg: 0.4056 caption_loss_cls: 2.0816 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6749 semantic_segmentation_loss_cls: 0.0092 2023/11/05 20:56:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 20:56:45 - mmengine - INFO - Iter(train) [455000/480000] base_lr: 3.3224e-06 lr: 2.3428e-06 eta: 16:25:51 time: 2.3828 data_time: 0.1513 memory: 25736 grad_norm: 1.8926 loss: 1.1540 grounding_loss_reg: 2.3219 detection_loss_cls: 0.0393 detection_loss_reg: 0.4060 caption_loss_cls: 2.0826 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2642 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0093 2023/11/05 20:56:45 - mmengine - INFO - Saving checkpoint at 455000 iterations 2023/11/05 21:01:48 - mmengine - INFO - Iter(train) [455100/480000] base_lr: 3.3119e-06 lr: 2.3401e-06 eta: 16:23:04 time: 2.3808 data_time: 0.1512 memory: 26576 grad_norm: 1.8971 loss: 1.1583 grounding_loss_reg: 2.3248 detection_loss_cls: 0.0393 detection_loss_reg: 0.4060 caption_loss_cls: 2.0823 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6756 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:05:52 - mmengine - INFO - Iter(train) [455200/480000] base_lr: 3.3014e-06 lr: 2.3374e-06 eta: 16:19:14 time: 2.3819 data_time: 0.1513 memory: 26576 grad_norm: 1.8894 loss: 1.1574 grounding_loss_reg: 2.3238 detection_loss_cls: 0.0395 detection_loss_reg: 0.4070 caption_loss_cls: 2.0816 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6749 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:09:26 - mmengine - INFO - Iter(train) [455300/480000] base_lr: 3.2909e-06 lr: 2.3347e-06 eta: 16:14:54 time: 2.3823 data_time: 0.1513 memory: 26576 grad_norm: 1.8775 loss: 1.1609 grounding_loss_reg: 2.3245 detection_loss_cls: 0.0394 detection_loss_reg: 0.4069 caption_loss_cls: 2.0816 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6743 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:13:12 - mmengine - INFO - Iter(train) [455400/480000] base_lr: 3.2805e-06 lr: 2.3320e-06 eta: 16:10:46 time: 2.3821 data_time: 0.1513 memory: 25736 grad_norm: 1.8773 loss: 1.1674 grounding_loss_reg: 2.3247 detection_loss_cls: 0.0395 detection_loss_reg: 0.4066 caption_loss_cls: 2.0812 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6734 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:16:52 - mmengine - INFO - Iter(train) [455500/480000] base_lr: 3.2702e-06 lr: 2.3293e-06 eta: 16:06:32 time: 2.3805 data_time: 0.1512 memory: 26576 grad_norm: 1.8770 loss: 1.1717 grounding_loss_reg: 2.3259 detection_loss_cls: 0.0396 detection_loss_reg: 0.4072 caption_loss_cls: 2.0836 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6738 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:16:52 - mmengine - INFO - Saving checkpoint at 455500 iterations 2023/11/05 21:21:41 - mmengine - INFO - Iter(train) [455600/480000] base_lr: 3.2598e-06 lr: 2.3266e-06 eta: 16:03:28 time: 2.3847 data_time: 0.1520 memory: 26576 grad_norm: 1.8715 loss: 1.1702 grounding_loss_reg: 2.3269 detection_loss_cls: 0.0395 detection_loss_reg: 0.4060 caption_loss_cls: 2.0836 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.6745 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:25:23 - mmengine - INFO - Iter(train) [455700/480000] base_lr: 3.2496e-06 lr: 2.3240e-06 eta: 15:59:16 time: 2.3814 data_time: 0.1519 memory: 26576 grad_norm: 1.8852 loss: 1.1735 grounding_loss_reg: 2.3267 detection_loss_cls: 0.0394 detection_loss_reg: 0.4053 caption_loss_cls: 2.0876 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.6742 semantic_segmentation_loss_cls: 0.0093 2023/11/05 21:29:06 - mmengine - INFO - Iter(train) [455800/480000] base_lr: 3.2393e-06 lr: 2.3213e-06 eta: 15:55:05 time: 2.3822 data_time: 0.1519 memory: 25736 grad_norm: 1.8818 loss: 1.1734 grounding_loss_reg: 2.3248 detection_loss_cls: 0.0396 detection_loss_reg: 0.4065 caption_loss_cls: 2.0861 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6745 semantic_segmentation_loss_cls: 0.0093 2023/11/05 21:32:49 - mmengine - INFO - Iter(train) [455900/480000] base_lr: 3.2291e-06 lr: 2.3187e-06 eta: 15:50:55 time: 2.3790 data_time: 0.1519 memory: 25736 grad_norm: 1.8887 loss: 1.1762 grounding_loss_reg: 2.3267 detection_loss_cls: 0.0395 detection_loss_reg: 0.4059 caption_loss_cls: 2.0877 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2624 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:36:45 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 21:36:45 - mmengine - INFO - Iter(train) [456000/480000] base_lr: 3.2190e-06 lr: 2.3160e-06 eta: 15:46:57 time: 2.3803 data_time: 0.1520 memory: 26576 grad_norm: 1.8888 loss: 1.1808 grounding_loss_reg: 2.3288 detection_loss_cls: 0.0394 detection_loss_reg: 0.4060 caption_loss_cls: 2.0887 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6772 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:36:45 - mmengine - INFO - Saving checkpoint at 456000 iterations 2023/11/05 21:41:14 - mmengine - INFO - Iter(train) [456100/480000] base_lr: 3.2088e-06 lr: 2.3134e-06 eta: 15:43:32 time: 2.3766 data_time: 0.1524 memory: 25736 grad_norm: 1.8926 loss: 1.1753 grounding_loss_reg: 2.3277 detection_loss_cls: 0.0394 detection_loss_reg: 0.4062 caption_loss_cls: 2.0855 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6767 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:44:58 - mmengine - INFO - Iter(train) [456200/480000] base_lr: 3.1988e-06 lr: 2.3108e-06 eta: 15:39:22 time: 2.3763 data_time: 0.1524 memory: 26576 grad_norm: 1.8927 loss: 1.1788 grounding_loss_reg: 2.3256 detection_loss_cls: 0.0393 detection_loss_reg: 0.4047 caption_loss_cls: 2.0846 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6761 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:48:14 - mmengine - INFO - Iter(train) [456300/480000] base_lr: 3.1887e-06 lr: 2.3082e-06 eta: 15:34:47 time: 2.3663 data_time: 0.1523 memory: 26576 grad_norm: 1.8974 loss: 1.1796 grounding_loss_reg: 2.3282 detection_loss_cls: 0.0394 detection_loss_reg: 0.4052 caption_loss_cls: 2.0855 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6760 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:51:29 - mmengine - INFO - Iter(train) [456400/480000] base_lr: 3.1787e-06 lr: 2.3056e-06 eta: 15:30:10 time: 2.3574 data_time: 0.1523 memory: 26576 grad_norm: 1.9104 loss: 1.1802 grounding_loss_reg: 2.3277 detection_loss_cls: 0.0392 detection_loss_reg: 0.4041 caption_loss_cls: 2.0834 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6768 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:55:16 - mmengine - INFO - Iter(train) [456500/480000] base_lr: 3.1688e-06 lr: 2.3030e-06 eta: 15:26:05 time: 2.3585 data_time: 0.1523 memory: 25736 grad_norm: 1.9187 loss: 1.1782 grounding_loss_reg: 2.3256 detection_loss_cls: 0.0392 detection_loss_reg: 0.4045 caption_loss_cls: 2.0834 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6768 semantic_segmentation_loss_cls: 0.0092 2023/11/05 21:55:16 - mmengine - INFO - Saving checkpoint at 456500 iterations 2023/11/05 22:00:02 - mmengine - INFO - Iter(train) [456600/480000] base_lr: 3.1589e-06 lr: 2.3005e-06 eta: 15:22:55 time: 2.3614 data_time: 0.1514 memory: 25736 grad_norm: 1.9074 loss: 1.1696 grounding_loss_reg: 2.3247 detection_loss_cls: 0.0392 detection_loss_reg: 0.4045 caption_loss_cls: 2.0830 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.6777 semantic_segmentation_loss_cls: 0.0092 2023/11/05 22:03:25 - mmengine - INFO - Iter(train) [456700/480000] base_lr: 3.1490e-06 lr: 2.2979e-06 eta: 15:18:27 time: 2.3614 data_time: 0.1515 memory: 25736 grad_norm: 1.9063 loss: 1.1684 grounding_loss_reg: 2.3242 detection_loss_cls: 0.0391 detection_loss_reg: 0.4044 caption_loss_cls: 2.0839 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6783 semantic_segmentation_loss_cls: 0.0092 2023/11/05 22:06:52 - mmengine - INFO - Iter(train) [456800/480000] base_lr: 3.1392e-06 lr: 2.2953e-06 eta: 15:14:03 time: 2.3553 data_time: 0.1514 memory: 25736 grad_norm: 1.9160 loss: 1.1707 grounding_loss_reg: 2.3245 detection_loss_cls: 0.0392 detection_loss_reg: 0.4044 caption_loss_cls: 2.0793 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6771 semantic_segmentation_loss_cls: 0.0092 2023/11/05 22:10:31 - mmengine - INFO - Iter(train) [456900/480000] base_lr: 3.1294e-06 lr: 2.2928e-06 eta: 15:09:51 time: 2.3509 data_time: 0.1513 memory: 26576 grad_norm: 1.9193 loss: 1.1715 grounding_loss_reg: 2.3224 detection_loss_cls: 0.0391 detection_loss_reg: 0.4040 caption_loss_cls: 2.0784 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.6758 semantic_segmentation_loss_cls: 0.0092 2023/11/05 22:13:58 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 22:13:58 - mmengine - INFO - Iter(train) [457000/480000] base_lr: 3.1197e-06 lr: 2.2903e-06 eta: 15:05:28 time: 2.3474 data_time: 0.1512 memory: 26576 grad_norm: 1.9229 loss: 1.1711 grounding_loss_reg: 2.3217 detection_loss_cls: 0.0389 detection_loss_reg: 0.4034 caption_loss_cls: 2.0784 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2617 instance_segmentation_loss_poly: 0.6748 semantic_segmentation_loss_cls: 0.0092 2023/11/05 22:13:58 - mmengine - INFO - Saving checkpoint at 457000 iterations 2023/11/05 22:18:43 - mmengine - INFO - Iter(train) [457100/480000] base_lr: 3.1100e-06 lr: 2.2878e-06 eta: 15:02:15 time: 2.3436 data_time: 0.1510 memory: 26576 grad_norm: 1.9314 loss: 1.1715 grounding_loss_reg: 2.3196 detection_loss_cls: 0.0389 detection_loss_reg: 0.4033 caption_loss_cls: 2.0795 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6753 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:22:26 - mmengine - INFO - Iter(train) [457200/480000] base_lr: 3.1003e-06 lr: 2.2853e-06 eta: 14:58:07 time: 2.3404 data_time: 0.1509 memory: 25736 grad_norm: 1.9320 loss: 1.1753 grounding_loss_reg: 2.3201 detection_loss_cls: 0.0388 detection_loss_reg: 0.4026 caption_loss_cls: 2.0799 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6756 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:26:16 - mmengine - INFO - Iter(train) [457300/480000] base_lr: 3.0907e-06 lr: 2.2828e-06 eta: 14:54:04 time: 2.3431 data_time: 0.1509 memory: 26576 grad_norm: 1.9315 loss: 1.1728 grounding_loss_reg: 2.3187 detection_loss_cls: 0.0389 detection_loss_reg: 0.4033 caption_loss_cls: 2.0778 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:29:46 - mmengine - INFO - Iter(train) [457400/480000] base_lr: 3.0811e-06 lr: 2.2803e-06 eta: 14:49:46 time: 2.3389 data_time: 0.1509 memory: 25736 grad_norm: 1.9318 loss: 1.1768 grounding_loss_reg: 2.3222 detection_loss_cls: 0.0388 detection_loss_reg: 0.4034 caption_loss_cls: 2.0789 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6754 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:33:51 - mmengine - INFO - Iter(train) [457500/480000] base_lr: 3.0716e-06 lr: 2.2778e-06 eta: 14:45:56 time: 2.3444 data_time: 0.1509 memory: 26576 grad_norm: 1.9267 loss: 1.1735 grounding_loss_reg: 2.3231 detection_loss_cls: 0.0388 detection_loss_reg: 0.4029 caption_loss_cls: 2.0771 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6738 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:33:51 - mmengine - INFO - Saving checkpoint at 457500 iterations 2023/11/05 22:38:50 - mmengine - INFO - Iter(train) [457600/480000] base_lr: 3.0621e-06 lr: 2.2754e-06 eta: 14:42:54 time: 2.3459 data_time: 0.1513 memory: 25736 grad_norm: 1.9236 loss: 1.1766 grounding_loss_reg: 2.3212 detection_loss_cls: 0.0389 detection_loss_reg: 0.4038 caption_loss_cls: 2.0803 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2617 instance_segmentation_loss_poly: 0.6747 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:42:04 - mmengine - INFO - Iter(train) [457700/480000] base_lr: 3.0527e-06 lr: 2.2729e-06 eta: 14:38:22 time: 2.3330 data_time: 0.1513 memory: 25736 grad_norm: 1.9417 loss: 1.1895 grounding_loss_reg: 2.3246 detection_loss_cls: 0.0388 detection_loss_reg: 0.4040 caption_loss_cls: 2.0807 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.6763 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:45:46 - mmengine - INFO - Iter(train) [457800/480000] base_lr: 3.0433e-06 lr: 2.2705e-06 eta: 14:34:13 time: 2.3334 data_time: 0.1513 memory: 26576 grad_norm: 1.9548 loss: 1.1945 grounding_loss_reg: 2.3258 detection_loss_cls: 0.0388 detection_loss_reg: 0.4044 caption_loss_cls: 2.0823 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.6759 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:49:37 - mmengine - INFO - Iter(train) [457900/480000] base_lr: 3.0339e-06 lr: 2.2681e-06 eta: 14:30:12 time: 2.3353 data_time: 0.1513 memory: 26576 grad_norm: 1.9565 loss: 1.1918 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0390 detection_loss_reg: 0.4055 caption_loss_cls: 2.0810 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6761 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:53:02 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 22:53:02 - mmengine - INFO - Iter(train) [458000/480000] base_lr: 3.0246e-06 lr: 2.2656e-06 eta: 14:25:50 time: 2.3298 data_time: 0.1512 memory: 26576 grad_norm: 1.9620 loss: 1.1907 grounding_loss_reg: 2.3242 detection_loss_cls: 0.0390 detection_loss_reg: 0.4050 caption_loss_cls: 2.0817 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0091 2023/11/05 22:53:02 - mmengine - INFO - Saving checkpoint at 458000 iterations 2023/11/05 22:57:56 - mmengine - INFO - Iter(train) [458100/480000] base_lr: 3.0153e-06 lr: 2.2632e-06 eta: 14:22:42 time: 2.3316 data_time: 0.1518 memory: 26576 grad_norm: 1.9624 loss: 1.1952 grounding_loss_reg: 2.3246 detection_loss_cls: 0.0389 detection_loss_reg: 0.4052 caption_loss_cls: 2.0822 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:01:43 - mmengine - INFO - Iter(train) [458200/480000] base_lr: 3.0061e-06 lr: 2.2608e-06 eta: 14:18:37 time: 2.3369 data_time: 0.1519 memory: 26576 grad_norm: 1.9685 loss: 1.1980 grounding_loss_reg: 2.3242 detection_loss_cls: 0.0390 detection_loss_reg: 0.4053 caption_loss_cls: 2.0818 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6743 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:05:23 - mmengine - INFO - Iter(train) [458300/480000] base_lr: 2.9969e-06 lr: 2.2585e-06 eta: 14:14:27 time: 2.3342 data_time: 0.1518 memory: 26576 grad_norm: 1.9735 loss: 1.1995 grounding_loss_reg: 2.3225 detection_loss_cls: 0.0389 detection_loss_reg: 0.4054 caption_loss_cls: 2.0839 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6749 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:09:07 - mmengine - INFO - Iter(train) [458400/480000] base_lr: 2.9877e-06 lr: 2.2561e-06 eta: 14:10:21 time: 2.3320 data_time: 0.1517 memory: 25736 grad_norm: 1.9718 loss: 1.1942 grounding_loss_reg: 2.3210 detection_loss_cls: 0.0390 detection_loss_reg: 0.4061 caption_loss_cls: 2.0818 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6760 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:12:47 - mmengine - INFO - Iter(train) [458500/480000] base_lr: 2.9786e-06 lr: 2.2537e-06 eta: 14:06:12 time: 2.3283 data_time: 0.1517 memory: 26576 grad_norm: 1.9669 loss: 1.1943 grounding_loss_reg: 2.3239 detection_loss_cls: 0.0389 detection_loss_reg: 0.4051 caption_loss_cls: 2.0807 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2632 instance_segmentation_loss_poly: 0.6752 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:12:47 - mmengine - INFO - Saving checkpoint at 458500 iterations 2023/11/05 23:17:46 - mmengine - INFO - Iter(train) [458600/480000] base_lr: 2.9696e-06 lr: 2.2514e-06 eta: 14:03:06 time: 2.3338 data_time: 0.1518 memory: 26576 grad_norm: 1.9608 loss: 1.1936 grounding_loss_reg: 2.3252 detection_loss_cls: 0.0388 detection_loss_reg: 0.4046 caption_loss_cls: 2.0796 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2633 instance_segmentation_loss_poly: 0.6757 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:21:22 - mmengine - INFO - Iter(train) [458700/480000] base_lr: 2.9605e-06 lr: 2.2490e-06 eta: 13:58:53 time: 2.3341 data_time: 0.1518 memory: 26576 grad_norm: 1.9558 loss: 1.1954 grounding_loss_reg: 2.3246 detection_loss_cls: 0.0387 detection_loss_reg: 0.4034 caption_loss_cls: 2.0766 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2644 instance_segmentation_loss_poly: 0.6772 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:25:08 - mmengine - INFO - Iter(train) [458800/480000] base_lr: 2.9516e-06 lr: 2.2467e-06 eta: 13:54:49 time: 2.3366 data_time: 0.1518 memory: 25736 grad_norm: 1.9507 loss: 1.1918 grounding_loss_reg: 2.3250 detection_loss_cls: 0.0386 detection_loss_reg: 0.4032 caption_loss_cls: 2.0758 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6759 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:29:02 - mmengine - INFO - Iter(train) [458900/480000] base_lr: 2.9426e-06 lr: 2.2444e-06 eta: 13:50:50 time: 2.3429 data_time: 0.1523 memory: 26576 grad_norm: 1.9540 loss: 1.1947 grounding_loss_reg: 2.3247 detection_loss_cls: 0.0386 detection_loss_reg: 0.4033 caption_loss_cls: 2.0767 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2637 instance_segmentation_loss_poly: 0.6757 semantic_segmentation_loss_cls: 0.0090 2023/11/05 23:33:06 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/05 23:33:06 - mmengine - INFO - Iter(train) [459000/480000] base_lr: 2.9337e-06 lr: 2.2421e-06 eta: 13:47:00 time: 2.3444 data_time: 0.1523 memory: 26576 grad_norm: 1.9621 loss: 1.1938 grounding_loss_reg: 2.3254 detection_loss_cls: 0.0386 detection_loss_reg: 0.4035 caption_loss_cls: 2.0762 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6756 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:33:06 - mmengine - INFO - Saving checkpoint at 459000 iterations 2023/11/05 23:38:11 - mmengine - INFO - Iter(train) [459100/480000] base_lr: 2.9249e-06 lr: 2.2398e-06 eta: 13:43:56 time: 2.3449 data_time: 0.1518 memory: 26576 grad_norm: 1.9585 loss: 1.1938 grounding_loss_reg: 2.3237 detection_loss_cls: 0.0386 detection_loss_reg: 0.4029 caption_loss_cls: 2.0773 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2637 instance_segmentation_loss_poly: 0.6747 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:41:40 - mmengine - INFO - Iter(train) [459200/480000] base_lr: 2.9161e-06 lr: 2.2375e-06 eta: 13:39:39 time: 2.3362 data_time: 0.1516 memory: 26576 grad_norm: 1.9680 loss: 1.1966 grounding_loss_reg: 2.3272 detection_loss_cls: 0.0388 detection_loss_reg: 0.4038 caption_loss_cls: 2.0767 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2642 instance_segmentation_loss_poly: 0.6757 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:45:02 - mmengine - INFO - Iter(train) [459300/480000] base_lr: 2.9073e-06 lr: 2.2352e-06 eta: 13:35:16 time: 2.3330 data_time: 0.1516 memory: 25736 grad_norm: 1.9822 loss: 1.1937 grounding_loss_reg: 2.3281 detection_loss_cls: 0.0388 detection_loss_reg: 0.4038 caption_loss_cls: 2.0765 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6751 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:48:36 - mmengine - INFO - Iter(train) [459400/480000] base_lr: 2.8985e-06 lr: 2.2330e-06 eta: 13:31:04 time: 2.3300 data_time: 0.1515 memory: 26576 grad_norm: 1.9878 loss: 1.1894 grounding_loss_reg: 2.3294 detection_loss_cls: 0.0388 detection_loss_reg: 0.4038 caption_loss_cls: 2.0742 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2640 instance_segmentation_loss_poly: 0.6755 semantic_segmentation_loss_cls: 0.0091 2023/11/05 23:52:32 - mmengine - INFO - Iter(train) [459500/480000] base_lr: 2.8899e-06 lr: 2.2307e-06 eta: 13:27:08 time: 2.3342 data_time: 0.1516 memory: 26576 grad_norm: 1.9923 loss: 1.1895 grounding_loss_reg: 2.3288 detection_loss_cls: 0.0388 detection_loss_reg: 0.4030 caption_loss_cls: 2.0743 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2634 instance_segmentation_loss_poly: 0.6741 semantic_segmentation_loss_cls: 0.0090 2023/11/05 23:52:32 - mmengine - INFO - Saving checkpoint at 459500 iterations 2023/11/05 23:57:38 - mmengine - INFO - Iter(train) [459600/480000] base_lr: 2.8812e-06 lr: 2.2285e-06 eta: 13:24:02 time: 2.3383 data_time: 0.1509 memory: 26576 grad_norm: 1.9858 loss: 1.1881 grounding_loss_reg: 2.3291 detection_loss_cls: 0.0389 detection_loss_reg: 0.4032 caption_loss_cls: 2.0726 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2643 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:01:03 - mmengine - INFO - Iter(train) [459700/480000] base_lr: 2.8726e-06 lr: 2.2262e-06 eta: 13:19:42 time: 2.3340 data_time: 0.1509 memory: 25736 grad_norm: 1.9856 loss: 1.1865 grounding_loss_reg: 2.3283 detection_loss_cls: 0.0389 detection_loss_reg: 0.4039 caption_loss_cls: 2.0699 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6755 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:04:47 - mmengine - INFO - Iter(train) [459800/480000] base_lr: 2.8640e-06 lr: 2.2240e-06 eta: 13:15:37 time: 2.3343 data_time: 0.1509 memory: 25736 grad_norm: 1.9852 loss: 1.1865 grounding_loss_reg: 2.3266 detection_loss_cls: 0.0390 detection_loss_reg: 0.4042 caption_loss_cls: 2.0715 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2634 instance_segmentation_loss_poly: 0.6750 semantic_segmentation_loss_cls: 0.0091 2023/11/06 00:08:41 - mmengine - INFO - Iter(train) [459900/480000] base_lr: 2.8555e-06 lr: 2.2218e-06 eta: 13:11:39 time: 2.3372 data_time: 0.1510 memory: 26576 grad_norm: 1.9785 loss: 1.1777 grounding_loss_reg: 2.3258 detection_loss_cls: 0.0389 detection_loss_reg: 0.4045 caption_loss_cls: 2.0724 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6742 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:12:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 00:12:43 - mmengine - INFO - Iter(train) [460000/480000] base_lr: 2.8470e-06 lr: 2.2196e-06 eta: 13:07:47 time: 2.3386 data_time: 0.1509 memory: 25736 grad_norm: 1.9694 loss: 1.1710 grounding_loss_reg: 2.3260 detection_loss_cls: 0.0388 detection_loss_reg: 0.4038 caption_loss_cls: 2.0731 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6748 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:12:43 - mmengine - INFO - Saving checkpoint at 460000 iterations 2023/11/06 00:18:43 - mmengine - INFO - Evaluating bbox... 2023/11/06 00:19:46 - mmengine - INFO - bbox_mAP_copypaste: 0.532 0.709 0.582 0.376 0.579 0.686 2023/11/06 00:19:46 - mmengine - INFO - Evaluating segm... 2023/11/06 00:21:02 - mmengine - INFO - segm_mAP_copypaste: 0.358 0.626 0.360 0.215 0.404 0.550 2023/11/06 00:22:27 - mmengine - INFO - Evaluating bbox... 2023/11/06 00:23:32 - mmengine - INFO - bbox_mAP_copypaste: 0.533 0.710 0.583 0.376 0.578 0.688 2023/11/06 00:26:40 - mmengine - INFO - per class results: 2023/11/06 00:26:40 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.22 | 89.77 | | building | 83.19 | 92.3 | | sky | 93.41 | 97.61 | | floor | 83.06 | 89.92 | | tree | 74.51 | 88.42 | | ceiling | 85.13 | 93.65 | | road | 85.54 | 90.29 | | bed | 90.0 | 95.89 | | windowpane | 64.07 | 80.36 | | grass | 69.46 | 84.33 | | cabinet | 63.53 | 74.54 | | sidewalk | 68.59 | 81.79 | | person | 81.98 | 91.88 | | earth | 45.71 | 58.84 | | door | 54.42 | 68.32 | | table | 66.22 | 80.36 | | mountain | 60.91 | 75.99 | | plant | 54.65 | 63.53 | | curtain | 75.12 | 88.67 | | chair | 60.76 | 74.54 | | car | 83.65 | 92.43 | | water | 62.51 | 76.6 | | painting | 73.95 | 87.93 | | sofa | 74.22 | 86.51 | | shelf | 46.89 | 65.03 | | house | 41.08 | 61.81 | | sea | 67.93 | 88.22 | | mirror | 68.72 | 78.84 | | rug | 68.87 | 79.14 | | field | 32.25 | 47.65 | | armchair | 52.94 | 71.04 | | seat | 67.26 | 85.42 | | fence | 45.53 | 60.64 | | desk | 55.9 | 77.55 | | rock | 46.76 | 66.84 | | wardrobe | 57.34 | 67.59 | | lamp | 62.12 | 75.73 | | bathtub | 86.28 | 89.54 | | railing | 34.17 | 46.41 | | cushion | 62.62 | 75.24 | | base | 27.97 | 41.81 | | box | 30.26 | 40.07 | | column | 48.6 | 61.06 | | signboard | 37.69 | 52.27 | | chest of drawers | 37.42 | 67.44 | | counter | 23.11 | 28.65 | | sand | 65.31 | 84.6 | | sink | 77.79 | 86.68 | | skyscraper | 49.25 | 56.9 | | fireplace | 72.48 | 87.72 | | refrigerator | 79.3 | 89.66 | | grandstand | 49.87 | 75.68 | | path | 26.33 | 40.51 | | stairs | 37.79 | 53.43 | | runway | 74.85 | 95.06 | | case | 51.81 | 64.71 | | pool table | 91.41 | 95.57 | | pillow | 56.9 | 68.02 | | screen door | 74.84 | 78.64 | | stairway | 33.34 | 38.89 | | river | 15.99 | 26.9 | | bridge | 66.07 | 76.47 | | bookcase | 39.36 | 52.26 | | blind | 40.27 | 43.96 | | coffee table | 62.4 | 77.27 | | toilet | 88.08 | 92.04 | | flower | 39.75 | 54.01 | | book | 47.67 | 70.77 | | hill | 9.13 | 14.69 | | bench | 58.5 | 72.93 | | countertop | 64.58 | 75.04 | | stove | 75.22 | 83.4 | | palm | 49.49 | 66.63 | | kitchen island | 42.78 | 81.83 | | computer | 75.11 | 88.51 | | swivel chair | 46.4 | 60.06 | | boat | 61.97 | 76.9 | | bar | 44.6 | 60.0 | | arcade machine | 72.94 | 80.31 | | hovel | 29.2 | 31.89 | | bus | 92.65 | 95.69 | | towel | 66.35 | 80.03 | | light | 50.69 | 60.17 | | truck | 44.33 | 61.93 | | tower | 49.45 | 74.41 | | chandelier | 61.23 | 74.75 | | awning | 29.42 | 34.04 | | streetlight | 34.34 | 44.53 | | booth | 34.89 | 42.58 | | television receiver | 70.64 | 85.61 | | airplane | 64.94 | 72.68 | | dirt track | 1.82 | 7.98 | | apparel | 43.51 | 63.94 | | pole | 28.38 | 42.29 | | land | 0.64 | 0.8 | | bannister | 12.69 | 17.07 | | escalator | 29.76 | 33.64 | | ottoman | 50.98 | 71.48 | | bottle | 30.15 | 39.05 | | buffet | 44.51 | 49.21 | | poster | 35.15 | 46.25 | | stage | 9.98 | 16.05 | | van | 41.01 | 48.99 | | ship | 75.16 | 86.51 | | fountain | 30.78 | 32.24 | | conveyer belt | 73.93 | 88.22 | | canopy | 24.51 | 31.13 | | washer | 72.64 | 75.38 | | plaything | 24.12 | 30.13 | | swimming pool | 81.94 | 90.62 | | stool | 50.22 | 66.23 | | barrel | 54.2 | 64.96 | | basket | 28.29 | 44.78 | | waterfall | 66.8 | 73.24 | | tent | 91.13 | 96.86 | | bag | 22.53 | 28.46 | | minibike | 73.84 | 87.48 | | cradle | 78.52 | 92.15 | | oven | 48.07 | 62.88 | | ball | 51.26 | 64.2 | | food | 52.91 | 57.72 | | step | 7.93 | 9.76 | | tank | 42.85 | 60.06 | | trade name | 20.22 | 21.82 | | microwave | 87.52 | 94.84 | | pot | 53.47 | 61.91 | | animal | 65.53 | 68.79 | | bicycle | 60.65 | 79.91 | | lake | 51.82 | 62.86 | | dishwasher | 73.18 | 78.37 | | screen | 71.6 | 82.57 | | blanket | 17.73 | 20.6 | | sculpture | 72.91 | 85.46 | | hood | 69.65 | 85.22 | | sconce | 41.84 | 50.94 | | vase | 42.64 | 61.6 | | traffic light | 38.5 | 54.14 | | tray | 16.28 | 27.84 | | ashcan | 44.43 | 62.79 | | fan | 59.51 | 71.29 | | pier | 36.26 | 39.45 | | crt screen | 10.36 | 15.76 | | plate | 57.21 | 70.84 | | monitor | 42.47 | 50.69 | | bulletin board | 47.2 | 53.79 | | shower | 4.86 | 5.95 | | radiator | 57.69 | 67.74 | | glass | 18.79 | 20.31 | | clock | 27.75 | 34.13 | | flag | 67.14 | 73.84 | +---------------------+-------+-------+ 2023/11/06 00:27:03 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:26 time: 1.1648 data_time: 0.0110 memory: 27858 2023/11/06 00:27:27 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5330 coco/bbox_mAP_50: 0.7100 coco/bbox_mAP_75: 0.5830 coco/bbox_mAP_s: 0.3760 coco/bbox_mAP_m: 0.5780 coco/bbox_mAP_l: 0.6880 coco/segm_mAP: 0.3580 coco/segm_mAP_50: 0.6260 coco/segm_mAP_75: 0.3600 coco/segm_mAP_s: 0.2150 coco/segm_mAP_m: 0.4040 coco/segm_mAP_l: 0.5500 Bleu_1: 0.7758 Bleu_2: 0.6132 Bleu_3: 0.4728 Bleu_4: 0.3615 METEOR: 0.2901 ROUGE_L: 0.5783 CIDEr: 1.2092 SPICE: 0.2186 aAcc: 84.5500 mIoU: 52.9500 mAcc: 64.2900 visual-grounding/miou: 0.8157 visual-grounding/acc: 0.8779 data_time: 0.0012 time: 0.2274 2023/11/06 00:31:48 - mmengine - INFO - Iter(train) [460100/480000] base_lr: 2.8386e-06 lr: 2.2174e-06 eta: 13:04:13 time: 2.3385 data_time: 0.1355 memory: 26576 grad_norm: 1.9684 loss: 1.1732 grounding_loss_reg: 2.3249 detection_loss_cls: 0.0387 detection_loss_reg: 0.4028 caption_loss_cls: 2.0695 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6737 semantic_segmentation_loss_cls: 0.0091 2023/11/06 00:35:24 - mmengine - INFO - Iter(train) [460200/480000] base_lr: 2.8302e-06 lr: 2.2152e-06 eta: 13:00:02 time: 2.3366 data_time: 0.1355 memory: 26576 grad_norm: 1.9725 loss: 1.1791 grounding_loss_reg: 2.3240 detection_loss_cls: 0.0388 detection_loss_reg: 0.4033 caption_loss_cls: 2.0707 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2633 instance_segmentation_loss_poly: 0.6753 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:39:22 - mmengine - INFO - Iter(train) [460300/480000] base_lr: 2.8219e-06 lr: 2.2131e-06 eta: 12:56:07 time: 2.3471 data_time: 0.1357 memory: 25736 grad_norm: 1.9755 loss: 1.1787 grounding_loss_reg: 2.3244 detection_loss_cls: 0.0388 detection_loss_reg: 0.4032 caption_loss_cls: 2.0700 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6764 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:43:03 - mmengine - INFO - Iter(train) [460400/480000] base_lr: 2.8135e-06 lr: 2.2109e-06 eta: 12:52:01 time: 2.3538 data_time: 0.1358 memory: 25736 grad_norm: 1.9679 loss: 1.1799 grounding_loss_reg: 2.3242 detection_loss_cls: 0.0388 detection_loss_reg: 0.4027 caption_loss_cls: 2.0722 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2636 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:46:42 - mmengine - INFO - Iter(train) [460500/480000] base_lr: 2.8053e-06 lr: 2.2088e-06 eta: 12:47:52 time: 2.3516 data_time: 0.1357 memory: 25736 grad_norm: 1.9563 loss: 1.1808 grounding_loss_reg: 2.3223 detection_loss_cls: 0.0388 detection_loss_reg: 0.4033 caption_loss_cls: 2.0729 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6769 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:46:42 - mmengine - INFO - Saving checkpoint at 460500 iterations 2023/11/06 00:51:47 - mmengine - INFO - Iter(train) [460600/480000] base_lr: 2.7971e-06 lr: 2.2066e-06 eta: 12:44:41 time: 2.3562 data_time: 0.1361 memory: 26576 grad_norm: 1.9481 loss: 1.1773 grounding_loss_reg: 2.3234 detection_loss_cls: 0.0390 detection_loss_reg: 0.4044 caption_loss_cls: 2.0721 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2637 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:55:42 - mmengine - INFO - Iter(train) [460700/480000] base_lr: 2.7889e-06 lr: 2.2045e-06 eta: 12:40:44 time: 2.3643 data_time: 0.1362 memory: 25736 grad_norm: 1.9498 loss: 1.1788 grounding_loss_reg: 2.3212 detection_loss_cls: 0.0391 detection_loss_reg: 0.4049 caption_loss_cls: 2.0733 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2634 instance_segmentation_loss_poly: 0.6758 semantic_segmentation_loss_cls: 0.0090 2023/11/06 00:59:20 - mmengine - INFO - Iter(train) [460800/480000] base_lr: 2.7807e-06 lr: 2.2024e-06 eta: 12:36:36 time: 2.3672 data_time: 0.1363 memory: 25736 grad_norm: 1.9447 loss: 1.1788 grounding_loss_reg: 2.3198 detection_loss_cls: 0.0390 detection_loss_reg: 0.4044 caption_loss_cls: 2.0720 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.6762 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:03:47 - mmengine - INFO - Iter(train) [460900/480000] base_lr: 2.7726e-06 lr: 2.2003e-06 eta: 12:32:59 time: 2.3791 data_time: 0.1363 memory: 26576 grad_norm: 1.9278 loss: 1.1726 grounding_loss_reg: 2.3208 detection_loss_cls: 0.0390 detection_loss_reg: 0.4045 caption_loss_cls: 2.0708 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.6758 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:07:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 01:07:13 - mmengine - INFO - Iter(train) [461000/480000] base_lr: 2.7646e-06 lr: 2.1982e-06 eta: 12:28:42 time: 2.3788 data_time: 0.1363 memory: 25736 grad_norm: 1.9337 loss: 1.1743 grounding_loss_reg: 2.3182 detection_loss_cls: 0.0391 detection_loss_reg: 0.4052 caption_loss_cls: 2.0731 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2635 instance_segmentation_loss_poly: 0.6758 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:07:13 - mmengine - INFO - Saving checkpoint at 461000 iterations 2023/11/06 01:12:36 - mmengine - INFO - Iter(train) [461100/480000] base_lr: 2.7566e-06 lr: 2.1961e-06 eta: 12:25:41 time: 2.3884 data_time: 0.1385 memory: 25736 grad_norm: 1.9228 loss: 1.1673 grounding_loss_reg: 2.3199 detection_loss_cls: 0.0392 detection_loss_reg: 0.4055 caption_loss_cls: 2.0718 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6737 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:15:55 - mmengine - INFO - Iter(train) [461200/480000] base_lr: 2.7486e-06 lr: 2.1941e-06 eta: 12:21:20 time: 2.3823 data_time: 0.1385 memory: 25736 grad_norm: 1.9322 loss: 1.1682 grounding_loss_reg: 2.3219 detection_loss_cls: 0.0391 detection_loss_reg: 0.4046 caption_loss_cls: 2.0713 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6729 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:19:45 - mmengine - INFO - Iter(train) [461300/480000] base_lr: 2.7406e-06 lr: 2.1920e-06 eta: 12:17:20 time: 2.3826 data_time: 0.1385 memory: 25736 grad_norm: 1.9272 loss: 1.1688 grounding_loss_reg: 2.3232 detection_loss_cls: 0.0390 detection_loss_reg: 0.4042 caption_loss_cls: 2.0704 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6736 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:23:30 - mmengine - INFO - Iter(train) [461400/480000] base_lr: 2.7328e-06 lr: 2.1900e-06 eta: 12:13:16 time: 2.3861 data_time: 0.1385 memory: 25736 grad_norm: 1.9318 loss: 1.1697 grounding_loss_reg: 2.3241 detection_loss_cls: 0.0389 detection_loss_reg: 0.4034 caption_loss_cls: 2.0730 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2613 instance_segmentation_loss_poly: 0.6727 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:27:12 - mmengine - INFO - Iter(train) [461500/480000] base_lr: 2.7249e-06 lr: 2.1879e-06 eta: 12:09:10 time: 2.3804 data_time: 0.1385 memory: 26576 grad_norm: 1.9335 loss: 1.1678 grounding_loss_reg: 2.3244 detection_loss_cls: 0.0389 detection_loss_reg: 0.4032 caption_loss_cls: 2.0754 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:27:12 - mmengine - INFO - Saving checkpoint at 461500 iterations 2023/11/06 01:31:54 - mmengine - INFO - Iter(train) [461600/480000] base_lr: 2.7171e-06 lr: 2.1859e-06 eta: 12:05:41 time: 2.3761 data_time: 0.1387 memory: 26576 grad_norm: 1.9453 loss: 1.1670 grounding_loss_reg: 2.3237 detection_loss_cls: 0.0388 detection_loss_reg: 0.4034 caption_loss_cls: 2.0745 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2600 instance_segmentation_loss_poly: 0.6701 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:35:32 - mmengine - INFO - Iter(train) [461700/480000] base_lr: 2.7093e-06 lr: 2.1839e-06 eta: 12:01:33 time: 2.3819 data_time: 0.1387 memory: 25736 grad_norm: 1.9405 loss: 1.1578 grounding_loss_reg: 2.3231 detection_loss_cls: 0.0390 detection_loss_reg: 0.4042 caption_loss_cls: 2.0732 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.6693 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:39:02 - mmengine - INFO - Iter(train) [461800/480000] base_lr: 2.7016e-06 lr: 2.1819e-06 eta: 11:57:21 time: 2.3791 data_time: 0.1387 memory: 25736 grad_norm: 1.9272 loss: 1.1529 grounding_loss_reg: 2.3245 detection_loss_cls: 0.0389 detection_loss_reg: 0.4037 caption_loss_cls: 2.0693 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6694 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:42:42 - mmengine - INFO - Iter(train) [461900/480000] base_lr: 2.6939e-06 lr: 2.1799e-06 eta: 11:53:15 time: 2.3762 data_time: 0.1387 memory: 25736 grad_norm: 1.9203 loss: 1.1493 grounding_loss_reg: 2.3256 detection_loss_cls: 0.0388 detection_loss_reg: 0.4032 caption_loss_cls: 2.0684 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.6706 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:46:11 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 01:46:11 - mmengine - INFO - Iter(train) [462000/480000] base_lr: 2.6863e-06 lr: 2.1779e-06 eta: 11:49:02 time: 2.3773 data_time: 0.1387 memory: 25736 grad_norm: 1.9220 loss: 1.1505 grounding_loss_reg: 2.3279 detection_loss_cls: 0.0388 detection_loss_reg: 0.4030 caption_loss_cls: 2.0676 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6701 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:46:11 - mmengine - INFO - Saving checkpoint at 462000 iterations 2023/11/06 01:50:54 - mmengine - INFO - Iter(train) [462100/480000] base_lr: 2.6787e-06 lr: 2.1760e-06 eta: 11:45:33 time: 2.3746 data_time: 0.1386 memory: 25736 grad_norm: 1.9301 loss: 1.1533 grounding_loss_reg: 2.3310 detection_loss_cls: 0.0387 detection_loss_reg: 0.4021 caption_loss_cls: 2.0657 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6711 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:54:45 - mmengine - INFO - Iter(train) [462200/480000] base_lr: 2.6712e-06 lr: 2.1740e-06 eta: 11:41:33 time: 2.3756 data_time: 0.1387 memory: 26576 grad_norm: 1.9221 loss: 1.1540 grounding_loss_reg: 2.3327 detection_loss_cls: 0.0388 detection_loss_reg: 0.4029 caption_loss_cls: 2.0666 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0090 2023/11/06 01:58:23 - mmengine - INFO - Iter(train) [462300/480000] base_lr: 2.6636e-06 lr: 2.1721e-06 eta: 11:37:26 time: 2.3752 data_time: 0.1386 memory: 25736 grad_norm: 1.9329 loss: 1.1552 grounding_loss_reg: 2.3354 detection_loss_cls: 0.0388 detection_loss_reg: 0.4028 caption_loss_cls: 2.0658 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6716 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:02:08 - mmengine - INFO - Iter(train) [462400/480000] base_lr: 2.6562e-06 lr: 2.1701e-06 eta: 11:33:23 time: 2.3754 data_time: 0.1386 memory: 26576 grad_norm: 1.9345 loss: 1.1592 grounding_loss_reg: 2.3351 detection_loss_cls: 0.0389 detection_loss_reg: 0.4037 caption_loss_cls: 2.0646 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6716 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:05:33 - mmengine - INFO - Iter(train) [462500/480000] base_lr: 2.6487e-06 lr: 2.1682e-06 eta: 11:29:09 time: 2.3715 data_time: 0.1387 memory: 25736 grad_norm: 1.9415 loss: 1.1596 grounding_loss_reg: 2.3340 detection_loss_cls: 0.0388 detection_loss_reg: 0.4030 caption_loss_cls: 2.0664 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6716 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:05:33 - mmengine - INFO - Saving checkpoint at 462500 iterations 2023/11/06 02:10:35 - mmengine - INFO - Iter(train) [462600/480000] base_lr: 2.6414e-06 lr: 2.1663e-06 eta: 11:25:49 time: 2.3722 data_time: 0.1385 memory: 26576 grad_norm: 1.9324 loss: 1.1518 grounding_loss_reg: 2.3328 detection_loss_cls: 0.0388 detection_loss_reg: 0.4033 caption_loss_cls: 2.0664 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6718 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:13:57 - mmengine - INFO - Iter(train) [462700/480000] base_lr: 2.6340e-06 lr: 2.1644e-06 eta: 11:21:34 time: 2.3689 data_time: 0.1385 memory: 25736 grad_norm: 1.9331 loss: 1.1495 grounding_loss_reg: 2.3330 detection_loss_cls: 0.0388 detection_loss_reg: 0.4040 caption_loss_cls: 2.0657 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6716 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:17:39 - mmengine - INFO - Iter(train) [462800/480000] base_lr: 2.6267e-06 lr: 2.1625e-06 eta: 11:17:29 time: 2.3678 data_time: 0.1385 memory: 26576 grad_norm: 1.9197 loss: 1.1458 grounding_loss_reg: 2.3350 detection_loss_cls: 0.0389 detection_loss_reg: 0.4036 caption_loss_cls: 2.0649 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:21:27 - mmengine - INFO - Iter(train) [462900/480000] base_lr: 2.6195e-06 lr: 2.1606e-06 eta: 11:13:28 time: 2.3664 data_time: 0.1381 memory: 25736 grad_norm: 1.9068 loss: 1.1424 grounding_loss_reg: 2.3352 detection_loss_cls: 0.0389 detection_loss_reg: 0.4036 caption_loss_cls: 2.0658 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6705 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:25:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 02:25:13 - mmengine - INFO - Iter(train) [463000/480000] base_lr: 2.6122e-06 lr: 2.1587e-06 eta: 11:09:26 time: 2.3618 data_time: 0.1381 memory: 26576 grad_norm: 1.9148 loss: 1.1432 grounding_loss_reg: 2.3332 detection_loss_cls: 0.0388 detection_loss_reg: 0.4027 caption_loss_cls: 2.0630 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:25:13 - mmengine - INFO - Saving checkpoint at 463000 iterations 2023/11/06 02:30:20 - mmengine - INFO - Iter(train) [463100/480000] base_lr: 2.6051e-06 lr: 2.1569e-06 eta: 11:06:08 time: 2.3623 data_time: 0.1384 memory: 25736 grad_norm: 1.9094 loss: 1.1440 grounding_loss_reg: 2.3362 detection_loss_cls: 0.0390 detection_loss_reg: 0.4033 caption_loss_cls: 2.0635 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2611 instance_segmentation_loss_poly: 0.6718 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:33:50 - mmengine - INFO - Iter(train) [463200/480000] base_lr: 2.5979e-06 lr: 2.1550e-06 eta: 11:01:58 time: 2.3626 data_time: 0.1385 memory: 26576 grad_norm: 1.9116 loss: 1.1453 grounding_loss_reg: 2.3361 detection_loss_cls: 0.0391 detection_loss_reg: 0.4034 caption_loss_cls: 2.0646 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6728 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:37:38 - mmengine - INFO - Iter(train) [463300/480000] base_lr: 2.5908e-06 lr: 2.1532e-06 eta: 10:57:57 time: 2.3692 data_time: 0.1386 memory: 26576 grad_norm: 1.9025 loss: 1.1444 grounding_loss_reg: 2.3361 detection_loss_cls: 0.0392 detection_loss_reg: 0.4037 caption_loss_cls: 2.0626 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2616 instance_segmentation_loss_poly: 0.6729 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:41:34 - mmengine - INFO - Iter(train) [463400/480000] base_lr: 2.5838e-06 lr: 2.1514e-06 eta: 10:54:00 time: 2.3746 data_time: 0.1386 memory: 26576 grad_norm: 1.8930 loss: 1.1435 grounding_loss_reg: 2.3356 detection_loss_cls: 0.0389 detection_loss_reg: 0.4032 caption_loss_cls: 2.0652 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.6728 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:45:28 - mmengine - INFO - Iter(train) [463500/480000] base_lr: 2.5768e-06 lr: 2.1495e-06 eta: 10:50:02 time: 2.3739 data_time: 0.1386 memory: 26576 grad_norm: 1.8871 loss: 1.1427 grounding_loss_reg: 2.3376 detection_loss_cls: 0.0388 detection_loss_reg: 0.4024 caption_loss_cls: 2.0671 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6706 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:45:28 - mmengine - INFO - Saving checkpoint at 463500 iterations 2023/11/06 02:50:40 - mmengine - INFO - Iter(train) [463600/480000] base_lr: 2.5698e-06 lr: 2.1477e-06 eta: 10:46:45 time: 2.3757 data_time: 0.1386 memory: 25736 grad_norm: 1.8847 loss: 1.1371 grounding_loss_reg: 2.3383 detection_loss_cls: 0.0388 detection_loss_reg: 0.4019 caption_loss_cls: 2.0684 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6707 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:54:28 - mmengine - INFO - Iter(train) [463700/480000] base_lr: 2.5629e-06 lr: 2.1459e-06 eta: 10:42:43 time: 2.3815 data_time: 0.1387 memory: 25736 grad_norm: 1.8758 loss: 1.1354 grounding_loss_reg: 2.3394 detection_loss_cls: 0.0388 detection_loss_reg: 0.4022 caption_loss_cls: 2.0654 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2611 instance_segmentation_loss_poly: 0.6707 semantic_segmentation_loss_cls: 0.0090 2023/11/06 02:57:54 - mmengine - INFO - Iter(train) [463800/480000] base_lr: 2.5560e-06 lr: 2.1442e-06 eta: 10:38:32 time: 2.3769 data_time: 0.1386 memory: 26576 grad_norm: 1.8779 loss: 1.1379 grounding_loss_reg: 2.3393 detection_loss_cls: 0.0388 detection_loss_reg: 0.4021 caption_loss_cls: 2.0664 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2613 instance_segmentation_loss_poly: 0.6714 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:01:53 - mmengine - INFO - Iter(train) [463900/480000] base_lr: 2.5492e-06 lr: 2.1424e-06 eta: 10:34:36 time: 2.3781 data_time: 0.1386 memory: 25736 grad_norm: 1.8862 loss: 1.1388 grounding_loss_reg: 2.3395 detection_loss_cls: 0.0388 detection_loss_reg: 0.4020 caption_loss_cls: 2.0673 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6692 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:05:34 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 03:05:34 - mmengine - INFO - Iter(train) [464000/480000] base_lr: 2.5424e-06 lr: 2.1406e-06 eta: 10:30:32 time: 2.3729 data_time: 0.1386 memory: 25736 grad_norm: 1.8967 loss: 1.1417 grounding_loss_reg: 2.3379 detection_loss_cls: 0.0388 detection_loss_reg: 0.4018 caption_loss_cls: 2.0674 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.6692 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:05:34 - mmengine - INFO - Saving checkpoint at 464000 iterations 2023/11/06 03:10:16 - mmengine - INFO - Iter(train) [464100/480000] base_lr: 2.5356e-06 lr: 2.1389e-06 eta: 10:26:58 time: 2.3762 data_time: 0.1542 memory: 26576 grad_norm: 1.8981 loss: 1.1452 grounding_loss_reg: 2.3378 detection_loss_cls: 0.0388 detection_loss_reg: 0.4024 caption_loss_cls: 2.0711 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6696 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:13:55 - mmengine - INFO - Iter(train) [464200/480000] base_lr: 2.5289e-06 lr: 2.1371e-06 eta: 10:22:53 time: 2.3771 data_time: 0.1542 memory: 26576 grad_norm: 1.9078 loss: 1.1411 grounding_loss_reg: 2.3370 detection_loss_cls: 0.0388 detection_loss_reg: 0.4032 caption_loss_cls: 2.0716 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6690 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:17:44 - mmengine - INFO - Iter(train) [464300/480000] base_lr: 2.5223e-06 lr: 2.1354e-06 eta: 10:18:52 time: 2.3744 data_time: 0.1541 memory: 26576 grad_norm: 1.9010 loss: 1.1354 grounding_loss_reg: 2.3347 detection_loss_cls: 0.0388 detection_loss_reg: 0.4029 caption_loss_cls: 2.0727 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.6679 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:21:40 - mmengine - INFO - Iter(train) [464400/480000] base_lr: 2.5156e-06 lr: 2.1337e-06 eta: 10:14:56 time: 2.3783 data_time: 0.1541 memory: 26576 grad_norm: 1.8999 loss: 1.1337 grounding_loss_reg: 2.3336 detection_loss_cls: 0.0388 detection_loss_reg: 0.4024 caption_loss_cls: 2.0739 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6681 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:25:45 - mmengine - INFO - Iter(train) [464500/480000] base_lr: 2.5091e-06 lr: 2.1320e-06 eta: 10:11:03 time: 2.3848 data_time: 0.1542 memory: 26576 grad_norm: 1.8793 loss: 1.1254 grounding_loss_reg: 2.3343 detection_loss_cls: 0.0386 detection_loss_reg: 0.4017 caption_loss_cls: 2.0733 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6661 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:25:45 - mmengine - INFO - Saving checkpoint at 464500 iterations 2023/11/06 03:30:40 - mmengine - INFO - Iter(train) [464600/480000] base_lr: 2.5025e-06 lr: 2.1303e-06 eta: 10:07:34 time: 2.3825 data_time: 0.1543 memory: 26576 grad_norm: 1.8907 loss: 1.1337 grounding_loss_reg: 2.3340 detection_loss_cls: 0.0386 detection_loss_reg: 0.4009 caption_loss_cls: 2.0738 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:35:11 - mmengine - INFO - Iter(train) [464700/480000] base_lr: 2.4960e-06 lr: 2.1286e-06 eta: 10:03:53 time: 2.3915 data_time: 0.1549 memory: 26576 grad_norm: 1.8824 loss: 1.1313 grounding_loss_reg: 2.3362 detection_loss_cls: 0.0384 detection_loss_reg: 0.4004 caption_loss_cls: 2.0710 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:38:54 - mmengine - INFO - Iter(train) [464800/480000] base_lr: 2.4896e-06 lr: 2.1269e-06 eta: 9:59:50 time: 2.3926 data_time: 0.1549 memory: 25736 grad_norm: 1.8818 loss: 1.1368 grounding_loss_reg: 2.3358 detection_loss_cls: 0.0384 detection_loss_reg: 0.4006 caption_loss_cls: 2.0733 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6660 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:42:25 - mmengine - INFO - Iter(train) [464900/480000] base_lr: 2.4831e-06 lr: 2.1253e-06 eta: 9:55:41 time: 2.3784 data_time: 0.1548 memory: 25736 grad_norm: 1.8924 loss: 1.1386 grounding_loss_reg: 2.3330 detection_loss_cls: 0.0384 detection_loss_reg: 0.4015 caption_loss_cls: 2.0716 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6645 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:45:48 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 03:45:48 - mmengine - INFO - Iter(train) [465000/480000] base_lr: 2.4768e-06 lr: 2.1236e-06 eta: 9:51:29 time: 2.3781 data_time: 0.1549 memory: 26576 grad_norm: 1.9014 loss: 1.1406 grounding_loss_reg: 2.3287 detection_loss_cls: 0.0384 detection_loss_reg: 0.4020 caption_loss_cls: 2.0722 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6646 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:45:48 - mmengine - INFO - Saving checkpoint at 465000 iterations 2023/11/06 03:50:52 - mmengine - INFO - Iter(train) [465100/480000] base_lr: 2.4704e-06 lr: 2.1220e-06 eta: 9:48:02 time: 2.3731 data_time: 0.1534 memory: 25736 grad_norm: 1.8951 loss: 1.1448 grounding_loss_reg: 2.3307 detection_loss_cls: 0.0385 detection_loss_reg: 0.4021 caption_loss_cls: 2.0727 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:54:23 - mmengine - INFO - Iter(train) [465200/480000] base_lr: 2.4642e-06 lr: 2.1203e-06 eta: 9:43:54 time: 2.3763 data_time: 0.1534 memory: 26576 grad_norm: 1.8824 loss: 1.1433 grounding_loss_reg: 2.3301 detection_loss_cls: 0.0386 detection_loss_reg: 0.4027 caption_loss_cls: 2.0739 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6644 semantic_segmentation_loss_cls: 0.0090 2023/11/06 03:57:48 - mmengine - INFO - Iter(train) [465300/480000] base_lr: 2.4579e-06 lr: 2.1187e-06 eta: 9:39:44 time: 2.3697 data_time: 0.1533 memory: 25736 grad_norm: 1.8878 loss: 1.1463 grounding_loss_reg: 2.3317 detection_loss_cls: 0.0386 detection_loss_reg: 0.4036 caption_loss_cls: 2.0747 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6639 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:01:11 - mmengine - INFO - Iter(train) [465400/480000] base_lr: 2.4517e-06 lr: 2.1171e-06 eta: 9:35:33 time: 2.3643 data_time: 0.1533 memory: 25736 grad_norm: 1.8878 loss: 1.1421 grounding_loss_reg: 2.3317 detection_loss_cls: 0.0385 detection_loss_reg: 0.4029 caption_loss_cls: 2.0737 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6631 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:04:59 - mmengine - INFO - Iter(train) [465500/480000] base_lr: 2.4455e-06 lr: 2.1155e-06 eta: 9:31:32 time: 2.3660 data_time: 0.1533 memory: 26576 grad_norm: 1.8911 loss: 1.1462 grounding_loss_reg: 2.3332 detection_loss_cls: 0.0385 detection_loss_reg: 0.4027 caption_loss_cls: 2.0722 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6635 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:04:59 - mmengine - INFO - Saving checkpoint at 465500 iterations 2023/11/06 04:09:47 - mmengine - INFO - Iter(train) [465600/480000] base_lr: 2.4394e-06 lr: 2.1139e-06 eta: 9:27:57 time: 2.3674 data_time: 0.1535 memory: 25736 grad_norm: 1.8780 loss: 1.1465 grounding_loss_reg: 2.3346 detection_loss_cls: 0.0384 detection_loss_reg: 0.4023 caption_loss_cls: 2.0726 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6630 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:13:10 - mmengine - INFO - Iter(train) [465700/480000] base_lr: 2.4333e-06 lr: 2.1123e-06 eta: 9:23:47 time: 2.3638 data_time: 0.1535 memory: 25736 grad_norm: 1.8755 loss: 1.1465 grounding_loss_reg: 2.3346 detection_loss_cls: 0.0384 detection_loss_reg: 0.4025 caption_loss_cls: 2.0685 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6628 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:17:05 - mmengine - INFO - Iter(train) [465800/480000] base_lr: 2.4273e-06 lr: 2.1108e-06 eta: 9:19:50 time: 2.3699 data_time: 0.1536 memory: 25736 grad_norm: 1.8874 loss: 1.1487 grounding_loss_reg: 2.3321 detection_loss_cls: 0.0384 detection_loss_reg: 0.4022 caption_loss_cls: 2.0668 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6641 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:20:49 - mmengine - INFO - Iter(train) [465900/480000] base_lr: 2.4213e-06 lr: 2.1092e-06 eta: 9:15:48 time: 2.3708 data_time: 0.1536 memory: 26576 grad_norm: 1.8855 loss: 1.1537 grounding_loss_reg: 2.3363 detection_loss_cls: 0.0384 detection_loss_reg: 0.4025 caption_loss_cls: 2.0670 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6645 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:24:40 - mmengine - INFO - Exp name: univision_joint_all_huge_20231105_043305 2023/11/06 04:24:40 - mmengine - INFO - Iter(train) [466000/480000] base_lr: 2.4154e-06 lr: 2.1077e-06 eta: 9:11:49 time: 2.3765 data_time: 0.1536 memory: 26576 grad_norm: 1.8930 loss: 1.1555 grounding_loss_reg: 2.3371 detection_loss_cls: 0.0384 detection_loss_reg: 0.4021 caption_loss_cls: 2.0662 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2596 instance_segmentation_loss_poly: 0.6655 semantic_segmentation_loss_cls: 0.0090 2023/11/06 04:24:40 - mmengine - INFO - Saving checkpoint at 466000 iterations 2023/11/06 04:29:33 - mmengine - INFO - Iter(train) [466100/480000] base_lr: 2.4095e-06 lr: 2.1062e-06 eta: 9:08:15 time: 2.3787 data_time: 0.1536 memory: 26576 grad_norm: 1.8926 loss: 1.1494 grounding_loss_reg: 2.3380 detection_loss_cls: 0.0384 detection_loss_reg: 0.4018 caption_loss_cls: 2.0671 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6650 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:06:20 - mmengine - INFO - Iter(train) [466200/480000] base_lr: 2.4036e-06 lr: 2.1046e-06 eta: 5:42:59 time: 2.3226 data_time: 0.1361 memory: 25731 grad_norm: 1.8856 loss: 1.1418 grounding_loss_reg: 2.3373 detection_loss_cls: 0.0383 detection_loss_reg: 0.4005 caption_loss_cls: 2.0675 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6644 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:08:58 - mmengine - INFO - Iter(train) [466300/480000] base_lr: 2.3978e-06 lr: 2.1031e-06 eta: 5:47:20 time: 2.3075 data_time: 0.1361 memory: 25731 grad_norm: 1.8818 loss: 1.1393 grounding_loss_reg: 2.3368 detection_loss_cls: 0.0383 detection_loss_reg: 0.4002 caption_loss_cls: 2.0684 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6668 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:11:38 - mmengine - INFO - Iter(train) [466400/480000] base_lr: 2.3920e-06 lr: 2.1016e-06 eta: 5:49:12 time: 2.2912 data_time: 0.1361 memory: 25731 grad_norm: 1.8849 loss: 1.1378 grounding_loss_reg: 2.3373 detection_loss_cls: 0.0384 detection_loss_reg: 0.4002 caption_loss_cls: 2.0651 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6679 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:14:35 - mmengine - INFO - Iter(train) [466500/480000] base_lr: 2.3863e-06 lr: 2.1001e-06 eta: 5:57:02 time: 2.2844 data_time: 0.1360 memory: 25731 grad_norm: 1.8781 loss: 1.1339 grounding_loss_reg: 2.3405 detection_loss_cls: 0.0383 detection_loss_reg: 0.4003 caption_loss_cls: 2.0659 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6676 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:14:35 - mmengine - INFO - Saving checkpoint at 466500 iterations 2023/11/06 05:18:24 - mmengine - INFO - Iter(train) [466600/480000] base_lr: 2.3806e-06 lr: 2.0987e-06 eta: 6:20:15 time: 2.2661 data_time: 0.1351 memory: 25731 grad_norm: 1.9005 loss: 1.1413 grounding_loss_reg: 2.3423 detection_loss_cls: 0.0382 detection_loss_reg: 0.4001 caption_loss_cls: 2.0681 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2596 instance_segmentation_loss_poly: 0.6663 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:21:18 - mmengine - INFO - Iter(train) [466700/480000] base_lr: 2.3749e-06 lr: 2.0972e-06 eta: 6:18:39 time: 2.2589 data_time: 0.1351 memory: 25731 grad_norm: 1.8969 loss: 1.1402 grounding_loss_reg: 2.3438 detection_loss_cls: 0.0381 detection_loss_reg: 0.3998 caption_loss_cls: 2.0698 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2595 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:24:14 - mmengine - INFO - Iter(train) [466800/480000] base_lr: 2.3693e-06 lr: 2.0957e-06 eta: 6:17:10 time: 2.2474 data_time: 0.1351 memory: 25731 grad_norm: 1.9092 loss: 1.1458 grounding_loss_reg: 2.3407 detection_loss_cls: 0.0381 detection_loss_reg: 0.3998 caption_loss_cls: 2.0728 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:27:14 - mmengine - INFO - Iter(train) [466900/480000] base_lr: 2.3637e-06 lr: 2.0943e-06 eta: 6:16:30 time: 2.2357 data_time: 0.1351 memory: 26572 grad_norm: 1.9198 loss: 1.1541 grounding_loss_reg: 2.3455 detection_loss_cls: 0.0380 detection_loss_reg: 0.3990 caption_loss_cls: 2.0714 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6671 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:30:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 05:30:28 - mmengine - INFO - Iter(train) [467000/480000] base_lr: 2.3582e-06 lr: 2.0929e-06 eta: 6:18:12 time: 2.2276 data_time: 0.1351 memory: 26572 grad_norm: 1.9177 loss: 1.1557 grounding_loss_reg: 2.3451 detection_loss_cls: 0.0380 detection_loss_reg: 0.3988 caption_loss_cls: 2.0691 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6680 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:30:28 - mmengine - INFO - Saving checkpoint at 467000 iterations 2023/11/06 05:34:35 - mmengine - INFO - Iter(train) [467100/480000] base_lr: 2.3527e-06 lr: 2.0914e-06 eta: 6:29:25 time: 2.2126 data_time: 0.1338 memory: 26572 grad_norm: 1.9215 loss: 1.1617 grounding_loss_reg: 2.3457 detection_loss_cls: 0.0381 detection_loss_reg: 0.3995 caption_loss_cls: 2.0713 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6709 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:37:45 - mmengine - INFO - Iter(train) [467200/480000] base_lr: 2.3473e-06 lr: 2.0900e-06 eta: 6:28:02 time: 2.2075 data_time: 0.1338 memory: 25731 grad_norm: 1.9214 loss: 1.1588 grounding_loss_reg: 2.3442 detection_loss_cls: 0.0382 detection_loss_reg: 0.3995 caption_loss_cls: 2.0698 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:41:04 - mmengine - INFO - Iter(train) [467300/480000] base_lr: 2.3419e-06 lr: 2.0886e-06 eta: 6:27:42 time: 2.2002 data_time: 0.1338 memory: 25731 grad_norm: 1.9077 loss: 1.1541 grounding_loss_reg: 2.3462 detection_loss_cls: 0.0381 detection_loss_reg: 0.3990 caption_loss_cls: 2.0671 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6709 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:44:30 - mmengine - INFO - Iter(train) [467400/480000] base_lr: 2.3365e-06 lr: 2.0872e-06 eta: 6:28:08 time: 2.1930 data_time: 0.1337 memory: 25731 grad_norm: 1.9207 loss: 1.1612 grounding_loss_reg: 2.3497 detection_loss_cls: 0.0380 detection_loss_reg: 0.3988 caption_loss_cls: 2.0686 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6718 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:48:10 - mmengine - INFO - Iter(train) [467500/480000] base_lr: 2.3312e-06 lr: 2.0859e-06 eta: 6:29:50 time: 2.1893 data_time: 0.1337 memory: 25731 grad_norm: 1.9298 loss: 1.1591 grounding_loss_reg: 2.3488 detection_loss_cls: 0.0380 detection_loss_reg: 0.3983 caption_loss_cls: 2.0665 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6711 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:48:10 - mmengine - INFO - Saving checkpoint at 467500 iterations 2023/11/06 05:52:47 - mmengine - INFO - Iter(train) [467600/480000] base_lr: 2.3259e-06 lr: 2.0845e-06 eta: 6:38:23 time: 2.1805 data_time: 0.1329 memory: 25731 grad_norm: 1.9324 loss: 1.1618 grounding_loss_reg: 2.3501 detection_loss_cls: 0.0381 detection_loss_reg: 0.3985 caption_loss_cls: 2.0646 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6704 semantic_segmentation_loss_cls: 0.0090 2023/11/06 05:56:03 - mmengine - INFO - Iter(train) [467700/480000] base_lr: 2.3207e-06 lr: 2.0831e-06 eta: 6:35:34 time: 2.1727 data_time: 0.1328 memory: 26572 grad_norm: 1.9366 loss: 1.1658 grounding_loss_reg: 2.3496 detection_loss_cls: 0.0380 detection_loss_reg: 0.3982 caption_loss_cls: 2.0644 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2622 instance_segmentation_loss_poly: 0.6712 semantic_segmentation_loss_cls: 0.0091 2023/11/06 05:59:43 - mmengine - INFO - Iter(train) [467800/480000] base_lr: 2.3155e-06 lr: 2.0818e-06 eta: 6:35:19 time: 2.1759 data_time: 0.1328 memory: 25731 grad_norm: 1.9363 loss: 1.1638 grounding_loss_reg: 2.3494 detection_loss_cls: 0.0380 detection_loss_reg: 0.3983 caption_loss_cls: 2.0664 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:03:29 - mmengine - INFO - Iter(train) [467900/480000] base_lr: 2.3103e-06 lr: 2.0805e-06 eta: 6:35:29 time: 2.1728 data_time: 0.1328 memory: 25731 grad_norm: 1.9298 loss: 1.1617 grounding_loss_reg: 2.3477 detection_loss_cls: 0.0379 detection_loss_reg: 0.3981 caption_loss_cls: 2.0667 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6733 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:08:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 06:08:00 - mmengine - INFO - Iter(train) [468000/480000] base_lr: 2.3052e-06 lr: 2.0791e-06 eta: 6:39:43 time: 2.1854 data_time: 0.1338 memory: 25731 grad_norm: 1.9329 loss: 1.1604 grounding_loss_reg: 2.3467 detection_loss_cls: 0.0379 detection_loss_reg: 0.3978 caption_loss_cls: 2.0672 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2629 instance_segmentation_loss_poly: 0.6735 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:08:01 - mmengine - INFO - Saving checkpoint at 468000 iterations 2023/11/06 06:12:50 - mmengine - INFO - Iter(train) [468100/480000] base_lr: 2.3002e-06 lr: 2.0778e-06 eta: 6:44:50 time: 2.1873 data_time: 0.1329 memory: 25731 grad_norm: 1.9227 loss: 1.1514 grounding_loss_reg: 2.3474 detection_loss_cls: 0.0380 detection_loss_reg: 0.3988 caption_loss_cls: 2.0609 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6736 semantic_segmentation_loss_cls: 0.0090 2023/11/06 06:16:33 - mmengine - INFO - Iter(train) [468200/480000] base_lr: 2.2952e-06 lr: 2.0765e-06 eta: 6:43:08 time: 2.1882 data_time: 0.1329 memory: 26572 grad_norm: 1.9119 loss: 1.1514 grounding_loss_reg: 2.3492 detection_loss_cls: 0.0380 detection_loss_reg: 0.3988 caption_loss_cls: 2.0601 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2626 instance_segmentation_loss_poly: 0.6726 semantic_segmentation_loss_cls: 0.0090 2023/11/06 06:19:54 - mmengine - INFO - Iter(train) [468300/480000] base_lr: 2.2902e-06 lr: 2.0752e-06 eta: 6:39:20 time: 2.1814 data_time: 0.1328 memory: 25731 grad_norm: 1.9235 loss: 1.1565 grounding_loss_reg: 2.3484 detection_loss_cls: 0.0378 detection_loss_reg: 0.3980 caption_loss_cls: 2.0635 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6717 semantic_segmentation_loss_cls: 0.0090 2023/11/06 06:23:17 - mmengine - INFO - Iter(train) [468400/480000] base_lr: 2.2852e-06 lr: 2.0740e-06 eta: 6:35:48 time: 2.1730 data_time: 0.1328 memory: 26572 grad_norm: 1.9273 loss: 1.1633 grounding_loss_reg: 2.3494 detection_loss_cls: 0.0377 detection_loss_reg: 0.3973 caption_loss_cls: 2.0625 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2638 instance_segmentation_loss_poly: 0.6745 semantic_segmentation_loss_cls: 0.0090 2023/11/06 06:27:17 - mmengine - INFO - Iter(train) [468500/480000] base_lr: 2.2803e-06 lr: 2.0727e-06 eta: 6:35:05 time: 2.1718 data_time: 0.1328 memory: 26572 grad_norm: 1.9388 loss: 1.1688 grounding_loss_reg: 2.3477 detection_loss_cls: 0.0376 detection_loss_reg: 0.3968 caption_loss_cls: 2.0604 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2639 instance_segmentation_loss_poly: 0.6746 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:27:17 - mmengine - INFO - Saving checkpoint at 468500 iterations 2023/11/06 06:31:50 - mmengine - INFO - Iter(train) [468600/480000] base_lr: 2.2755e-06 lr: 2.0714e-06 eta: 6:36:33 time: 2.1663 data_time: 0.1320 memory: 25731 grad_norm: 1.9430 loss: 1.1676 grounding_loss_reg: 2.3475 detection_loss_cls: 0.0377 detection_loss_reg: 0.3975 caption_loss_cls: 2.0581 instance_segmentation_loss_cls: 0.0261 instance_segmentation_loss_reg: 0.2639 instance_segmentation_loss_poly: 0.6743 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:36:08 - mmengine - INFO - Iter(train) [468700/480000] base_lr: 2.2707e-06 lr: 2.0702e-06 eta: 6:36:28 time: 2.1629 data_time: 0.1314 memory: 25731 grad_norm: 1.9412 loss: 1.1626 grounding_loss_reg: 2.3480 detection_loss_cls: 0.0377 detection_loss_reg: 0.3980 caption_loss_cls: 2.0560 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2631 instance_segmentation_loss_poly: 0.6730 semantic_segmentation_loss_cls: 0.0090 2023/11/06 06:40:02 - mmengine - INFO - Iter(train) [468800/480000] base_lr: 2.2659e-06 lr: 2.0689e-06 eta: 6:34:30 time: 2.1657 data_time: 0.1314 memory: 25731 grad_norm: 1.9460 loss: 1.1598 grounding_loss_reg: 2.3497 detection_loss_cls: 0.0375 detection_loss_reg: 0.3975 caption_loss_cls: 2.0550 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6719 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:43:37 - mmengine - INFO - Iter(train) [468900/480000] base_lr: 2.2612e-06 lr: 2.0677e-06 eta: 6:31:16 time: 2.1670 data_time: 0.1314 memory: 26572 grad_norm: 1.9447 loss: 1.1599 grounding_loss_reg: 2.3507 detection_loss_cls: 0.0374 detection_loss_reg: 0.3965 caption_loss_cls: 2.0554 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2628 instance_segmentation_loss_poly: 0.6716 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:47:05 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 06:47:05 - mmengine - INFO - Iter(train) [469000/480000] base_lr: 2.2565e-06 lr: 2.0665e-06 eta: 6:27:29 time: 2.1679 data_time: 0.1313 memory: 25731 grad_norm: 1.9374 loss: 1.1581 grounding_loss_reg: 2.3497 detection_loss_cls: 0.0375 detection_loss_reg: 0.3970 caption_loss_cls: 2.0556 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2627 instance_segmentation_loss_poly: 0.6724 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:47:05 - mmengine - INFO - Saving checkpoint at 469000 iterations 2023/11/06 06:52:11 - mmengine - INFO - Iter(train) [469100/480000] base_lr: 2.2519e-06 lr: 2.0653e-06 eta: 6:29:32 time: 2.1687 data_time: 0.1298 memory: 26572 grad_norm: 1.9506 loss: 1.1601 grounding_loss_reg: 2.3484 detection_loss_cls: 0.0378 detection_loss_reg: 0.3996 caption_loss_cls: 2.0516 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2630 instance_segmentation_loss_poly: 0.6730 semantic_segmentation_loss_cls: 0.0091 2023/11/06 06:56:06 - mmengine - INFO - Iter(train) [469200/480000] base_lr: 2.2473e-06 lr: 2.0641e-06 eta: 6:27:06 time: 2.1746 data_time: 0.1299 memory: 25731 grad_norm: 1.9553 loss: 1.1593 grounding_loss_reg: 2.3490 detection_loss_cls: 0.0377 detection_loss_reg: 0.3988 caption_loss_cls: 2.0513 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2619 instance_segmentation_loss_poly: 0.6708 semantic_segmentation_loss_cls: 0.0091 2023/11/06 07:00:09 - mmengine - INFO - Iter(train) [469300/480000] base_lr: 2.2427e-06 lr: 2.0629e-06 eta: 6:25:00 time: 2.1841 data_time: 0.1299 memory: 25731 grad_norm: 1.9544 loss: 1.1549 grounding_loss_reg: 2.3464 detection_loss_cls: 0.0374 detection_loss_reg: 0.3987 caption_loss_cls: 2.0509 instance_segmentation_loss_cls: 0.0260 instance_segmentation_loss_reg: 0.2625 instance_segmentation_loss_poly: 0.6722 semantic_segmentation_loss_cls: 0.0091 2023/11/06 07:03:20 - mmengine - INFO - Iter(train) [469400/480000] base_lr: 2.2382e-06 lr: 2.0618e-06 eta: 6:20:06 time: 2.1809 data_time: 0.1298 memory: 26572 grad_norm: 1.9615 loss: 1.1601 grounding_loss_reg: 2.3450 detection_loss_cls: 0.0374 detection_loss_reg: 0.3989 caption_loss_cls: 2.0520 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2618 instance_segmentation_loss_poly: 0.6703 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:06:57 - mmengine - INFO - Iter(train) [469500/480000] base_lr: 2.2337e-06 lr: 2.0606e-06 eta: 6:16:38 time: 2.1784 data_time: 0.1298 memory: 26572 grad_norm: 1.9565 loss: 1.1631 grounding_loss_reg: 2.3470 detection_loss_cls: 0.0374 detection_loss_reg: 0.3989 caption_loss_cls: 2.0574 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6694 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:06:57 - mmengine - INFO - Saving checkpoint at 469500 iterations 2023/11/06 07:11:32 - mmengine - INFO - Iter(train) [469600/480000] base_lr: 2.2293e-06 lr: 2.0594e-06 eta: 6:15:54 time: 2.1752 data_time: 0.1281 memory: 25731 grad_norm: 1.9727 loss: 1.1673 grounding_loss_reg: 2.3474 detection_loss_cls: 0.0374 detection_loss_reg: 0.3987 caption_loss_cls: 2.0583 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6695 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:15:35 - mmengine - INFO - Iter(train) [469700/480000] base_lr: 2.2249e-06 lr: 2.0583e-06 eta: 6:13:31 time: 2.1850 data_time: 0.1282 memory: 25731 grad_norm: 1.9624 loss: 1.1624 grounding_loss_reg: 2.3478 detection_loss_cls: 0.0374 detection_loss_reg: 0.3990 caption_loss_cls: 2.0582 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2614 instance_segmentation_loss_poly: 0.6704 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:19:33 - mmengine - INFO - Iter(train) [469800/480000] base_lr: 2.2206e-06 lr: 2.0572e-06 eta: 6:10:46 time: 2.1857 data_time: 0.1281 memory: 26572 grad_norm: 1.9474 loss: 1.1606 grounding_loss_reg: 2.3507 detection_loss_cls: 0.0375 detection_loss_reg: 0.3991 caption_loss_cls: 2.0595 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2620 instance_segmentation_loss_poly: 0.6712 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:23:09 - mmengine - INFO - Iter(train) [469900/480000] base_lr: 2.2163e-06 lr: 2.0561e-06 eta: 6:07:03 time: 2.1839 data_time: 0.1280 memory: 26572 grad_norm: 1.9533 loss: 1.1589 grounding_loss_reg: 2.3515 detection_loss_cls: 0.0375 detection_loss_reg: 0.4000 caption_loss_cls: 2.0596 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2613 instance_segmentation_loss_poly: 0.6700 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:27:04 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 07:27:04 - mmengine - INFO - Iter(train) [470000/480000] base_lr: 2.2120e-06 lr: 2.0550e-06 eta: 6:04:06 time: 2.1847 data_time: 0.1279 memory: 26572 grad_norm: 1.9418 loss: 1.1576 grounding_loss_reg: 2.3508 detection_loss_cls: 0.0376 detection_loss_reg: 0.4006 caption_loss_cls: 2.0613 instance_segmentation_loss_cls: 0.0259 instance_segmentation_loss_reg: 0.2612 instance_segmentation_loss_poly: 0.6697 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:27:04 - mmengine - INFO - Saving checkpoint at 470000 iterations 2023/11/06 07:33:33 - mmengine - INFO - Evaluating bbox... 2023/11/06 07:34:34 - mmengine - INFO - bbox_mAP_copypaste: 0.532 0.710 0.582 0.382 0.577 0.688 2023/11/06 07:34:34 - mmengine - INFO - Evaluating segm... 2023/11/06 07:35:53 - mmengine - INFO - segm_mAP_copypaste: 0.358 0.624 0.358 0.221 0.404 0.550 2023/11/06 07:37:16 - mmengine - INFO - Evaluating bbox... 2023/11/06 07:38:21 - mmengine - INFO - bbox_mAP_copypaste: 0.532 0.710 0.583 0.377 0.578 0.689 2023/11/06 07:41:34 - mmengine - INFO - per class results: 2023/11/06 07:41:34 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.16 | 89.97 | | building | 83.22 | 92.24 | | sky | 93.34 | 97.78 | | floor | 83.03 | 90.29 | | tree | 74.59 | 87.9 | | ceiling | 85.26 | 93.93 | | road | 85.51 | 91.03 | | bed | 90.09 | 95.67 | | windowpane | 63.67 | 79.75 | | grass | 68.19 | 81.76 | | cabinet | 63.37 | 74.53 | | sidewalk | 69.04 | 80.44 | | person | 81.67 | 92.07 | | earth | 46.06 | 58.56 | | door | 54.56 | 67.75 | | table | 66.1 | 81.23 | | mountain | 61.99 | 78.54 | | plant | 55.03 | 66.44 | | curtain | 75.05 | 87.87 | | chair | 60.38 | 73.69 | | car | 83.51 | 92.67 | | water | 60.39 | 73.42 | | painting | 73.4 | 86.57 | | sofa | 74.44 | 86.16 | | shelf | 46.5 | 63.42 | | house | 37.22 | 51.65 | | sea | 67.92 | 87.75 | | mirror | 69.37 | 78.23 | | rug | 69.25 | 80.41 | | field | 30.39 | 49.16 | | armchair | 52.86 | 72.1 | | seat | 67.45 | 85.51 | | fence | 45.25 | 60.96 | | desk | 56.02 | 75.76 | | rock | 46.46 | 64.05 | | wardrobe | 51.89 | 65.92 | | lamp | 62.06 | 74.62 | | bathtub | 86.22 | 89.67 | | railing | 35.39 | 48.55 | | cushion | 62.63 | 74.78 | | base | 26.99 | 40.84 | | box | 30.82 | 40.75 | | column | 48.99 | 61.14 | | signboard | 37.95 | 52.39 | | chest of drawers | 43.22 | 66.54 | | counter | 27.2 | 33.44 | | sand | 60.64 | 76.95 | | sink | 77.39 | 86.59 | | skyscraper | 49.46 | 57.43 | | fireplace | 72.64 | 86.53 | | refrigerator | 79.02 | 89.05 | | grandstand | 47.78 | 77.59 | | path | 26.72 | 41.89 | | stairs | 39.99 | 53.1 | | runway | 74.53 | 94.52 | | case | 53.79 | 66.1 | | pool table | 91.4 | 95.73 | | pillow | 56.99 | 68.21 | | screen door | 72.82 | 79.85 | | stairway | 34.05 | 40.51 | | river | 15.88 | 30.45 | | bridge | 74.18 | 86.83 | | bookcase | 39.58 | 55.21 | | blind | 41.51 | 45.47 | | coffee table | 62.19 | 76.88 | | toilet | 87.89 | 92.38 | | flower | 39.01 | 52.73 | | book | 45.89 | 70.55 | | hill | 10.6 | 16.8 | | bench | 59.01 | 73.81 | | countertop | 63.47 | 75.12 | | stove | 76.94 | 85.1 | | palm | 49.02 | 65.42 | | kitchen island | 43.11 | 78.91 | | computer | 75.69 | 88.27 | | swivel chair | 46.26 | 60.29 | | boat | 65.61 | 79.8 | | bar | 45.15 | 58.32 | | arcade machine | 70.78 | 77.34 | | hovel | 29.96 | 33.1 | | bus | 92.77 | 95.67 | | towel | 67.44 | 78.96 | | light | 49.78 | 58.2 | | truck | 44.6 | 61.08 | | tower | 45.22 | 70.91 | | chandelier | 62.43 | 77.76 | | awning | 28.83 | 36.15 | | streetlight | 33.79 | 45.68 | | booth | 34.61 | 42.26 | | television receiver | 71.87 | 85.97 | | airplane | 63.07 | 70.36 | | dirt track | 1.76 | 8.77 | | apparel | 42.21 | 59.7 | | pole | 25.68 | 37.09 | | land | 0.58 | 0.72 | | bannister | 14.78 | 20.97 | | escalator | 28.99 | 34.77 | | ottoman | 50.89 | 71.83 | | bottle | 27.42 | 34.14 | | buffet | 39.99 | 43.69 | | poster | 33.55 | 44.15 | | stage | 9.9 | 16.17 | | van | 34.43 | 41.74 | | ship | 70.1 | 77.44 | | fountain | 30.45 | 31.85 | | conveyer belt | 72.58 | 89.68 | | canopy | 26.12 | 30.46 | | washer | 72.28 | 74.12 | | plaything | 24.72 | 31.46 | | swimming pool | 81.81 | 88.37 | | stool | 50.25 | 64.44 | | barrel | 55.58 | 64.83 | | basket | 27.08 | 45.2 | | waterfall | 75.76 | 84.63 | | tent | 90.67 | 97.07 | | bag | 21.75 | 26.66 | | minibike | 73.56 | 88.08 | | cradle | 79.03 | 92.71 | | oven | 51.48 | 62.74 | | ball | 53.38 | 67.04 | | food | 54.78 | 61.15 | | step | 11.95 | 15.08 | | tank | 42.93 | 59.64 | | trade name | 23.06 | 25.77 | | microwave | 87.82 | 94.51 | | pot | 52.25 | 59.75 | | animal | 67.58 | 71.33 | | bicycle | 60.5 | 78.81 | | lake | 52.91 | 62.72 | | dishwasher | 72.4 | 76.9 | | screen | 66.78 | 82.47 | | blanket | 20.58 | 23.59 | | sculpture | 73.8 | 84.99 | | hood | 69.7 | 86.14 | | sconce | 43.1 | 52.69 | | vase | 43.22 | 60.89 | | traffic light | 38.63 | 53.57 | | tray | 16.12 | 28.69 | | ashcan | 43.42 | 60.2 | | fan | 60.28 | 72.12 | | pier | 36.63 | 39.63 | | crt screen | 10.12 | 18.87 | | plate | 56.42 | 68.84 | | monitor | 42.39 | 46.66 | | bulletin board | 47.8 | 54.59 | | shower | 5.1 | 6.37 | | radiator | 57.47 | 67.2 | | glass | 18.27 | 19.68 | | clock | 28.09 | 34.69 | | flag | 67.01 | 75.03 | +---------------------+-------+-------+ 2023/11/06 07:41:58 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:27 time: 1.1626 data_time: 0.0100 memory: 27850 2023/11/06 07:42:19 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5320 coco/bbox_mAP_50: 0.7100 coco/bbox_mAP_75: 0.5830 coco/bbox_mAP_s: 0.3770 coco/bbox_mAP_m: 0.5780 coco/bbox_mAP_l: 0.6890 coco/segm_mAP: 0.3580 coco/segm_mAP_50: 0.6240 coco/segm_mAP_75: 0.3580 coco/segm_mAP_s: 0.2210 coco/segm_mAP_m: 0.4040 coco/segm_mAP_l: 0.5500 Bleu_1: 0.7746 Bleu_2: 0.6132 Bleu_3: 0.4731 Bleu_4: 0.3619 METEOR: 0.2918 ROUGE_L: 0.5805 CIDEr: 1.2123 SPICE: 0.2203 aAcc: 84.5000 mIoU: 52.9600 mAcc: 64.2100 visual-grounding/miou: 0.8202 visual-grounding/acc: 0.8831 data_time: 0.0013 time: 0.2592 2023/11/06 07:45:53 - mmengine - INFO - Iter(train) [470100/480000] base_lr: 2.2078e-06 lr: 2.0539e-06 eta: 6:00:23 time: 2.2035 data_time: 0.1282 memory: 26571 grad_norm: 1.9458 loss: 1.1582 grounding_loss_reg: 2.3534 detection_loss_cls: 0.0375 detection_loss_reg: 0.3995 caption_loss_cls: 2.0615 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2604 instance_segmentation_loss_poly: 0.6678 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:49:32 - mmengine - INFO - Iter(train) [470200/480000] base_lr: 2.2036e-06 lr: 2.0528e-06 eta: 5:56:45 time: 2.2189 data_time: 0.1284 memory: 25730 grad_norm: 1.9439 loss: 1.1634 grounding_loss_reg: 2.3545 detection_loss_cls: 0.0375 detection_loss_reg: 0.3989 caption_loss_cls: 2.0598 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:53:09 - mmengine - INFO - Iter(train) [470300/480000] base_lr: 2.1995e-06 lr: 2.0517e-06 eta: 5:53:04 time: 2.2337 data_time: 0.1284 memory: 26571 grad_norm: 1.9476 loss: 1.1668 grounding_loss_reg: 2.3523 detection_loss_cls: 0.0374 detection_loss_reg: 0.3986 caption_loss_cls: 2.0629 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6671 semantic_segmentation_loss_cls: 0.0090 2023/11/06 07:56:42 - mmengine - INFO - Iter(train) [470400/480000] base_lr: 2.1954e-06 lr: 2.0507e-06 eta: 5:49:14 time: 2.2469 data_time: 0.1285 memory: 26571 grad_norm: 1.9540 loss: 1.1680 grounding_loss_reg: 2.3463 detection_loss_cls: 0.0375 detection_loss_reg: 0.3990 caption_loss_cls: 2.0646 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2599 instance_segmentation_loss_poly: 0.6666 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:00:05 - mmengine - INFO - Iter(train) [470500/480000] base_lr: 2.1913e-06 lr: 2.0496e-06 eta: 5:45:03 time: 2.2533 data_time: 0.1285 memory: 25730 grad_norm: 1.9617 loss: 1.1701 grounding_loss_reg: 2.3469 detection_loss_cls: 0.0376 detection_loss_reg: 0.3985 caption_loss_cls: 2.0664 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6654 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:00:05 - mmengine - INFO - Saving checkpoint at 470500 iterations 2023/11/06 08:05:13 - mmengine - INFO - Iter(train) [470600/480000] base_lr: 2.1873e-06 lr: 2.0486e-06 eta: 5:44:29 time: 2.2733 data_time: 0.1306 memory: 25730 grad_norm: 1.9559 loss: 1.1705 grounding_loss_reg: 2.3486 detection_loss_cls: 0.0377 detection_loss_reg: 0.3992 caption_loss_cls: 2.0681 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2598 instance_segmentation_loss_poly: 0.6669 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:08:50 - mmengine - INFO - Iter(train) [470700/480000] base_lr: 2.1834e-06 lr: 2.0475e-06 eta: 5:40:43 time: 2.2840 data_time: 0.1306 memory: 26571 grad_norm: 1.9558 loss: 1.1702 grounding_loss_reg: 2.3461 detection_loss_cls: 0.0376 detection_loss_reg: 0.3989 caption_loss_cls: 2.0693 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6680 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:12:51 - mmengine - INFO - Iter(train) [470800/480000] base_lr: 2.1795e-06 lr: 2.0465e-06 eta: 5:37:43 time: 2.3002 data_time: 0.1306 memory: 26571 grad_norm: 1.9495 loss: 1.1685 grounding_loss_reg: 2.3457 detection_loss_cls: 0.0377 detection_loss_reg: 0.4001 caption_loss_cls: 2.0705 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6692 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:16:31 - mmengine - INFO - Iter(train) [470900/480000] base_lr: 2.1756e-06 lr: 2.0455e-06 eta: 5:34:03 time: 2.3102 data_time: 0.1306 memory: 26571 grad_norm: 1.9644 loss: 1.1610 grounding_loss_reg: 2.3452 detection_loss_cls: 0.0378 detection_loss_reg: 0.4006 caption_loss_cls: 2.0683 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6695 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:20:00 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 08:20:00 - mmengine - INFO - Iter(train) [471000/480000] base_lr: 2.1717e-06 lr: 2.0445e-06 eta: 5:30:02 time: 2.3140 data_time: 0.1306 memory: 26571 grad_norm: 1.9699 loss: 1.1653 grounding_loss_reg: 2.3447 detection_loss_cls: 0.0379 detection_loss_reg: 0.4012 caption_loss_cls: 2.0705 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2608 instance_segmentation_loss_poly: 0.6701 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:20:00 - mmengine - INFO - Saving checkpoint at 471000 iterations 2023/11/06 08:25:14 - mmengine - INFO - Iter(train) [471100/480000] base_lr: 2.1679e-06 lr: 2.0435e-06 eta: 5:29:05 time: 2.3306 data_time: 0.1320 memory: 25730 grad_norm: 1.9801 loss: 1.1617 grounding_loss_reg: 2.3441 detection_loss_cls: 0.0379 detection_loss_reg: 0.4012 caption_loss_cls: 2.0706 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6713 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:29:08 - mmengine - INFO - Iter(train) [471200/480000] base_lr: 2.1642e-06 lr: 2.0426e-06 eta: 5:25:43 time: 2.3415 data_time: 0.1321 memory: 25730 grad_norm: 1.9707 loss: 1.1625 grounding_loss_reg: 2.3460 detection_loss_cls: 0.0381 detection_loss_reg: 0.4028 caption_loss_cls: 2.0695 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6696 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:33:04 - mmengine - INFO - Iter(train) [471300/480000] base_lr: 2.1605e-06 lr: 2.0416e-06 eta: 5:22:24 time: 2.3509 data_time: 0.1321 memory: 25730 grad_norm: 1.9744 loss: 1.1605 grounding_loss_reg: 2.3468 detection_loss_cls: 0.0381 detection_loss_reg: 0.4029 caption_loss_cls: 2.0698 instance_segmentation_loss_cls: 0.0258 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6704 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:37:07 - mmengine - INFO - Iter(train) [471400/480000] base_lr: 2.1568e-06 lr: 2.0407e-06 eta: 5:19:14 time: 2.3600 data_time: 0.1333 memory: 25730 grad_norm: 1.9680 loss: 1.1528 grounding_loss_reg: 2.3474 detection_loss_cls: 0.0381 detection_loss_reg: 0.4025 caption_loss_cls: 2.0697 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6702 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:41:12 - mmengine - INFO - Iter(train) [471500/480000] base_lr: 2.1532e-06 lr: 2.0397e-06 eta: 5:16:07 time: 2.3666 data_time: 0.1334 memory: 26571 grad_norm: 1.9567 loss: 1.1506 grounding_loss_reg: 2.3457 detection_loss_cls: 0.0382 detection_loss_reg: 0.4032 caption_loss_cls: 2.0695 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2615 instance_segmentation_loss_poly: 0.6706 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:41:12 - mmengine - INFO - Saving checkpoint at 471500 iterations 2023/11/06 08:46:20 - mmengine - INFO - Iter(train) [471600/480000] base_lr: 2.1496e-06 lr: 2.0388e-06 eta: 5:14:31 time: 2.3741 data_time: 0.1348 memory: 26571 grad_norm: 1.9482 loss: 1.1491 grounding_loss_reg: 2.3471 detection_loss_cls: 0.0383 detection_loss_reg: 0.4036 caption_loss_cls: 2.0682 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2610 instance_segmentation_loss_poly: 0.6693 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:50:38 - mmengine - INFO - Iter(train) [471700/480000] base_lr: 2.1461e-06 lr: 2.0379e-06 eta: 5:11:35 time: 2.3896 data_time: 0.1362 memory: 26571 grad_norm: 1.9557 loss: 1.1457 grounding_loss_reg: 2.3486 detection_loss_cls: 0.0383 detection_loss_reg: 0.4032 caption_loss_cls: 2.0655 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6680 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:54:38 - mmengine - INFO - Iter(train) [471800/480000] base_lr: 2.1426e-06 lr: 2.0370e-06 eta: 5:08:10 time: 2.3947 data_time: 0.1363 memory: 25730 grad_norm: 1.9543 loss: 1.1466 grounding_loss_reg: 2.3484 detection_loss_cls: 0.0383 detection_loss_reg: 0.4029 caption_loss_cls: 2.0663 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.6678 semantic_segmentation_loss_cls: 0.0090 2023/11/06 08:58:40 - mmengine - INFO - Iter(train) [471900/480000] base_lr: 2.1391e-06 lr: 2.0361e-06 eta: 5:04:47 time: 2.3986 data_time: 0.1363 memory: 25730 grad_norm: 1.9484 loss: 1.1474 grounding_loss_reg: 2.3508 detection_loss_cls: 0.0383 detection_loss_reg: 0.4036 caption_loss_cls: 2.0632 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2605 instance_segmentation_loss_poly: 0.6679 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:03:31 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 09:03:31 - mmengine - INFO - Iter(train) [472000/480000] base_lr: 2.1357e-06 lr: 2.0352e-06 eta: 5:02:28 time: 2.4036 data_time: 0.1362 memory: 25730 grad_norm: 1.9526 loss: 1.1499 grounding_loss_reg: 2.3478 detection_loss_cls: 0.0383 detection_loss_reg: 0.4033 caption_loss_cls: 2.0660 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2602 instance_segmentation_loss_poly: 0.6674 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:03:31 - mmengine - INFO - Saving checkpoint at 472000 iterations 2023/11/06 09:08:32 - mmengine - INFO - Iter(train) [472100/480000] base_lr: 2.1323e-06 lr: 2.0343e-06 eta: 5:00:17 time: 2.4065 data_time: 0.1366 memory: 26571 grad_norm: 1.9560 loss: 1.1537 grounding_loss_reg: 2.3471 detection_loss_cls: 0.0382 detection_loss_reg: 0.4017 caption_loss_cls: 2.0650 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6680 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:12:32 - mmengine - INFO - Iter(train) [472200/480000] base_lr: 2.1290e-06 lr: 2.0334e-06 eta: 4:56:44 time: 2.4107 data_time: 0.1366 memory: 25730 grad_norm: 1.9503 loss: 1.1512 grounding_loss_reg: 2.3481 detection_loss_cls: 0.0381 detection_loss_reg: 0.4014 caption_loss_cls: 2.0652 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6676 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:16:34 - mmengine - INFO - Iter(train) [472300/480000] base_lr: 2.1257e-06 lr: 2.0326e-06 eta: 4:53:12 time: 2.4209 data_time: 0.1367 memory: 25730 grad_norm: 1.9447 loss: 1.1548 grounding_loss_reg: 2.3453 detection_loss_cls: 0.0382 detection_loss_reg: 0.4018 caption_loss_cls: 2.0683 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2607 instance_segmentation_loss_poly: 0.6674 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:20:10 - mmengine - INFO - Iter(train) [472400/480000] base_lr: 2.1225e-06 lr: 2.0318e-06 eta: 4:49:09 time: 2.4242 data_time: 0.1368 memory: 25730 grad_norm: 1.9461 loss: 1.1516 grounding_loss_reg: 2.3458 detection_loss_cls: 0.0383 detection_loss_reg: 0.4026 caption_loss_cls: 2.0671 instance_segmentation_loss_cls: 0.0257 instance_segmentation_loss_reg: 0.2611 instance_segmentation_loss_poly: 0.6695 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:24:01 - mmengine - INFO - Iter(train) [472500/480000] base_lr: 2.1193e-06 lr: 2.0309e-06 eta: 4:45:23 time: 2.4218 data_time: 0.1368 memory: 25730 grad_norm: 1.9448 loss: 1.1472 grounding_loss_reg: 2.3456 detection_loss_cls: 0.0382 detection_loss_reg: 0.4027 caption_loss_cls: 2.0670 instance_segmentation_loss_cls: 0.0256 instance_segmentation_loss_reg: 0.2609 instance_segmentation_loss_poly: 0.6695 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:24:01 - mmengine - INFO - Saving checkpoint at 472500 iterations 2023/11/06 09:28:44 - mmengine - INFO - Iter(train) [472600/480000] base_lr: 2.1161e-06 lr: 2.0301e-06 eta: 4:42:37 time: 2.4243 data_time: 0.1371 memory: 26571 grad_norm: 1.9450 loss: 1.1448 grounding_loss_reg: 2.3442 detection_loss_cls: 0.0383 detection_loss_reg: 0.4031 caption_loss_cls: 2.0667 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2606 instance_segmentation_loss_poly: 0.6684 semantic_segmentation_loss_cls: 0.0091 2023/11/06 09:32:22 - mmengine - INFO - Iter(train) [472700/480000] base_lr: 2.1130e-06 lr: 2.0293e-06 eta: 4:38:35 time: 2.4145 data_time: 0.1370 memory: 26571 grad_norm: 1.9490 loss: 1.1421 grounding_loss_reg: 2.3441 detection_loss_cls: 0.0382 detection_loss_reg: 0.4029 caption_loss_cls: 2.0613 instance_segmentation_loss_cls: 0.0255 instance_segmentation_loss_reg: 0.2601 instance_segmentation_loss_poly: 0.6675 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:36:14 - mmengine - INFO - Iter(train) [472800/480000] base_lr: 2.1099e-06 lr: 2.0285e-06 eta: 4:34:49 time: 2.4140 data_time: 0.1370 memory: 26571 grad_norm: 1.9435 loss: 1.1408 grounding_loss_reg: 2.3442 detection_loss_cls: 0.0383 detection_loss_reg: 0.4029 caption_loss_cls: 2.0628 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6660 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:39:51 - mmengine - INFO - Iter(train) [472900/480000] base_lr: 2.1069e-06 lr: 2.0277e-06 eta: 4:30:47 time: 2.4142 data_time: 0.1371 memory: 26571 grad_norm: 1.9458 loss: 1.1500 grounding_loss_reg: 2.3449 detection_loss_cls: 0.0384 detection_loss_reg: 0.4027 caption_loss_cls: 2.0676 instance_segmentation_loss_cls: 0.0254 instance_segmentation_loss_reg: 0.2603 instance_segmentation_loss_poly: 0.6675 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:43:13 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 09:43:13 - mmengine - INFO - Iter(train) [473000/480000] base_lr: 2.1039e-06 lr: 2.0269e-06 eta: 4:26:32 time: 2.4129 data_time: 0.1371 memory: 26571 grad_norm: 1.9551 loss: 1.1539 grounding_loss_reg: 2.3433 detection_loss_cls: 0.0383 detection_loss_reg: 0.4028 caption_loss_cls: 2.0647 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2597 instance_segmentation_loss_poly: 0.6671 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:43:13 - mmengine - INFO - Saving checkpoint at 473000 iterations 2023/11/06 09:47:48 - mmengine - INFO - Iter(train) [473100/480000] base_lr: 2.1010e-06 lr: 2.0262e-06 eta: 4:23:28 time: 2.4049 data_time: 0.1380 memory: 26571 grad_norm: 1.9636 loss: 1.1564 grounding_loss_reg: 2.3410 detection_loss_cls: 0.0383 detection_loss_reg: 0.4024 caption_loss_cls: 2.0659 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6655 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:51:21 - mmengine - INFO - Iter(train) [473200/480000] base_lr: 2.0981e-06 lr: 2.0254e-06 eta: 4:19:24 time: 2.3996 data_time: 0.1379 memory: 25730 grad_norm: 1.9603 loss: 1.1554 grounding_loss_reg: 2.3416 detection_loss_cls: 0.0384 detection_loss_reg: 0.4026 caption_loss_cls: 2.0685 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6651 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:55:20 - mmengine - INFO - Iter(train) [473300/480000] base_lr: 2.0952e-06 lr: 2.0247e-06 eta: 4:15:44 time: 2.3986 data_time: 0.1380 memory: 26571 grad_norm: 1.9614 loss: 1.1552 grounding_loss_reg: 2.3433 detection_loss_cls: 0.0385 detection_loss_reg: 0.4024 caption_loss_cls: 2.0681 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6661 semantic_segmentation_loss_cls: 0.0090 2023/11/06 09:59:13 - mmengine - INFO - Iter(train) [473400/480000] base_lr: 2.0924e-06 lr: 2.0240e-06 eta: 4:11:59 time: 2.4092 data_time: 0.1381 memory: 25730 grad_norm: 1.9588 loss: 1.1530 grounding_loss_reg: 2.3446 detection_loss_cls: 0.0384 detection_loss_reg: 0.4031 caption_loss_cls: 2.0659 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6657 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:03:14 - mmengine - INFO - Iter(train) [473500/480000] base_lr: 2.0896e-06 lr: 2.0232e-06 eta: 4:08:20 time: 2.4151 data_time: 0.1382 memory: 26571 grad_norm: 1.9576 loss: 1.1509 grounding_loss_reg: 2.3458 detection_loss_cls: 0.0384 detection_loss_reg: 0.4026 caption_loss_cls: 2.0644 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2587 instance_segmentation_loss_poly: 0.6657 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:03:14 - mmengine - INFO - Saving checkpoint at 473500 iterations 2023/11/06 10:07:34 - mmengine - INFO - Iter(train) [473600/480000] base_lr: 2.0869e-06 lr: 2.0225e-06 eta: 4:04:57 time: 2.4114 data_time: 0.1396 memory: 25730 grad_norm: 1.9538 loss: 1.1483 grounding_loss_reg: 2.3453 detection_loss_cls: 0.0384 detection_loss_reg: 0.4020 caption_loss_cls: 2.0650 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6658 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:11:11 - mmengine - INFO - Iter(train) [473700/480000] base_lr: 2.0842e-06 lr: 2.0218e-06 eta: 4:00:57 time: 2.4048 data_time: 0.1396 memory: 26571 grad_norm: 1.9713 loss: 1.1561 grounding_loss_reg: 2.3449 detection_loss_cls: 0.0383 detection_loss_reg: 0.4018 caption_loss_cls: 2.0655 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.6659 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:15:37 - mmengine - INFO - Iter(train) [473800/480000] base_lr: 2.0815e-06 lr: 2.0211e-06 eta: 3:57:36 time: 2.4120 data_time: 0.1397 memory: 26571 grad_norm: 1.9867 loss: 1.1586 grounding_loss_reg: 2.3461 detection_loss_cls: 0.0383 detection_loss_reg: 0.4010 caption_loss_cls: 2.0628 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2593 instance_segmentation_loss_poly: 0.6666 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:19:29 - mmengine - INFO - Iter(train) [473900/480000] base_lr: 2.0789e-06 lr: 2.0205e-06 eta: 3:53:48 time: 2.4159 data_time: 0.1398 memory: 26571 grad_norm: 1.9896 loss: 1.1570 grounding_loss_reg: 2.3459 detection_loss_cls: 0.0383 detection_loss_reg: 0.4018 caption_loss_cls: 2.0614 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2594 instance_segmentation_loss_poly: 0.6667 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:23:07 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 10:23:07 - mmengine - INFO - Iter(train) [474000/480000] base_lr: 2.0764e-06 lr: 2.0198e-06 eta: 3:49:49 time: 2.4118 data_time: 0.1398 memory: 26571 grad_norm: 1.9969 loss: 1.1578 grounding_loss_reg: 2.3463 detection_loss_cls: 0.0383 detection_loss_reg: 0.4007 caption_loss_cls: 2.0612 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6660 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:23:07 - mmengine - INFO - Saving checkpoint at 474000 iterations 2023/11/06 10:28:44 - mmengine - INFO - Iter(train) [474100/480000] base_lr: 2.0738e-06 lr: 2.0191e-06 eta: 3:47:17 time: 2.4418 data_time: 0.1570 memory: 26571 grad_norm: 1.9882 loss: 1.1562 grounding_loss_reg: 2.3475 detection_loss_cls: 0.0384 detection_loss_reg: 0.4014 caption_loss_cls: 2.0594 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6639 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:33:04 - mmengine - INFO - Iter(train) [474200/480000] base_lr: 2.0713e-06 lr: 2.0185e-06 eta: 3:43:46 time: 2.4522 data_time: 0.1569 memory: 25730 grad_norm: 1.9973 loss: 1.1556 grounding_loss_reg: 2.3470 detection_loss_cls: 0.0384 detection_loss_reg: 0.4012 caption_loss_cls: 2.0588 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6649 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:37:00 - mmengine - INFO - Iter(train) [474300/480000] base_lr: 2.0689e-06 lr: 2.0179e-06 eta: 3:39:58 time: 2.4568 data_time: 0.1569 memory: 26571 grad_norm: 1.9865 loss: 1.1533 grounding_loss_reg: 2.3476 detection_loss_cls: 0.0384 detection_loss_reg: 0.4013 caption_loss_cls: 2.0576 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2591 instance_segmentation_loss_poly: 0.6662 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:40:34 - mmengine - INFO - Iter(train) [474400/480000] base_lr: 2.0665e-06 lr: 2.0172e-06 eta: 3:35:54 time: 2.4571 data_time: 0.1569 memory: 25730 grad_norm: 1.9840 loss: 1.1494 grounding_loss_reg: 2.3450 detection_loss_cls: 0.0384 detection_loss_reg: 0.4013 caption_loss_cls: 2.0551 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6652 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:44:06 - mmengine - INFO - Iter(train) [474500/480000] base_lr: 2.0642e-06 lr: 2.0166e-06 eta: 3:31:51 time: 2.4594 data_time: 0.1570 memory: 25730 grad_norm: 1.9829 loss: 1.1517 grounding_loss_reg: 2.3438 detection_loss_cls: 0.0383 detection_loss_reg: 0.4008 caption_loss_cls: 2.0552 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6655 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:44:06 - mmengine - INFO - Saving checkpoint at 474500 iterations 2023/11/06 10:49:04 - mmengine - INFO - Iter(train) [474600/480000] base_lr: 2.0618e-06 lr: 2.0160e-06 eta: 3:28:41 time: 2.4568 data_time: 0.1559 memory: 25730 grad_norm: 1.9743 loss: 1.1511 grounding_loss_reg: 2.3442 detection_loss_cls: 0.0383 detection_loss_reg: 0.4014 caption_loss_cls: 2.0568 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6665 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:52:30 - mmengine - INFO - Iter(train) [474700/480000] base_lr: 2.0596e-06 lr: 2.0154e-06 eta: 3:24:34 time: 2.4541 data_time: 0.1558 memory: 26571 grad_norm: 1.9777 loss: 1.1553 grounding_loss_reg: 2.3425 detection_loss_cls: 0.0384 detection_loss_reg: 0.4029 caption_loss_cls: 2.0575 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6647 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:56:04 - mmengine - INFO - Iter(train) [474800/480000] base_lr: 2.0574e-06 lr: 2.0149e-06 eta: 3:20:31 time: 2.4473 data_time: 0.1558 memory: 26571 grad_norm: 1.9978 loss: 1.1556 grounding_loss_reg: 2.3406 detection_loss_cls: 0.0384 detection_loss_reg: 0.4029 caption_loss_cls: 2.0533 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2580 instance_segmentation_loss_poly: 0.6641 semantic_segmentation_loss_cls: 0.0090 2023/11/06 10:59:47 - mmengine - INFO - Iter(train) [474900/480000] base_lr: 2.0552e-06 lr: 2.0143e-06 eta: 3:16:35 time: 2.4480 data_time: 0.1558 memory: 25730 grad_norm: 1.9803 loss: 1.1525 grounding_loss_reg: 2.3406 detection_loss_cls: 0.0382 detection_loss_reg: 0.4022 caption_loss_cls: 2.0539 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6647 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:03:43 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 11:03:43 - mmengine - INFO - Iter(train) [475000/480000] base_lr: 2.0530e-06 lr: 2.0137e-06 eta: 3:12:46 time: 2.4547 data_time: 0.1563 memory: 25730 grad_norm: 1.9648 loss: 1.1428 grounding_loss_reg: 2.3405 detection_loss_cls: 0.0381 detection_loss_reg: 0.4010 caption_loss_cls: 2.0531 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6648 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:03:43 - mmengine - INFO - Saving checkpoint at 475000 iterations 2023/11/06 11:09:09 - mmengine - INFO - Iter(train) [475100/480000] base_lr: 2.0509e-06 lr: 2.0132e-06 eta: 3:09:46 time: 2.4580 data_time: 0.1563 memory: 26571 grad_norm: 1.9630 loss: 1.1353 grounding_loss_reg: 2.3392 detection_loss_cls: 0.0379 detection_loss_reg: 0.4003 caption_loss_cls: 2.0508 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6642 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:12:45 - mmengine - INFO - Iter(train) [475200/480000] base_lr: 2.0489e-06 lr: 2.0127e-06 eta: 3:05:45 time: 2.4535 data_time: 0.1562 memory: 26571 grad_norm: 1.9763 loss: 1.1350 grounding_loss_reg: 2.3385 detection_loss_cls: 0.0379 detection_loss_reg: 0.4001 caption_loss_cls: 2.0493 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.6636 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:16:42 - mmengine - INFO - Iter(train) [475300/480000] base_lr: 2.0469e-06 lr: 2.0121e-06 eta: 3:01:55 time: 2.4535 data_time: 0.1562 memory: 25730 grad_norm: 1.9873 loss: 1.1433 grounding_loss_reg: 2.3374 detection_loss_cls: 0.0379 detection_loss_reg: 0.4000 caption_loss_cls: 2.0465 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6640 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:20:21 - mmengine - INFO - Iter(train) [475400/480000] base_lr: 2.0449e-06 lr: 2.0116e-06 eta: 2:57:57 time: 2.4478 data_time: 0.1551 memory: 25730 grad_norm: 1.9898 loss: 1.1462 grounding_loss_reg: 2.3373 detection_loss_cls: 0.0379 detection_loss_reg: 0.4005 caption_loss_cls: 2.0453 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6646 semantic_segmentation_loss_cls: 0.0089 2023/11/06 11:24:01 - mmengine - INFO - Iter(train) [475500/480000] base_lr: 2.0430e-06 lr: 2.0111e-06 eta: 2:53:59 time: 2.4413 data_time: 0.1550 memory: 26571 grad_norm: 2.0054 loss: 1.1518 grounding_loss_reg: 2.3346 detection_loss_cls: 0.0379 detection_loss_reg: 0.4011 caption_loss_cls: 2.0438 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6649 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:24:01 - mmengine - INFO - Saving checkpoint at 475500 iterations 2023/11/06 11:29:15 - mmengine - INFO - Iter(train) [475600/480000] base_lr: 2.0411e-06 lr: 2.0106e-06 eta: 2:50:44 time: 2.4429 data_time: 0.1549 memory: 26571 grad_norm: 2.0178 loss: 1.1566 grounding_loss_reg: 2.3332 detection_loss_cls: 0.0380 detection_loss_reg: 0.4020 caption_loss_cls: 2.0416 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2589 instance_segmentation_loss_poly: 0.6654 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:33:00 - mmengine - INFO - Iter(train) [475700/480000] base_lr: 2.0392e-06 lr: 2.0102e-06 eta: 2:46:48 time: 2.4345 data_time: 0.1535 memory: 25730 grad_norm: 2.0189 loss: 1.1587 grounding_loss_reg: 2.3345 detection_loss_cls: 0.0379 detection_loss_reg: 0.4017 caption_loss_cls: 2.0415 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2585 instance_segmentation_loss_poly: 0.6653 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:37:54 - mmengine - INFO - Iter(train) [475800/480000] base_lr: 2.0374e-06 lr: 2.0097e-06 eta: 2:43:22 time: 2.4482 data_time: 0.1548 memory: 26571 grad_norm: 2.0153 loss: 1.1598 grounding_loss_reg: 2.3366 detection_loss_cls: 0.0380 detection_loss_reg: 0.4019 caption_loss_cls: 2.0435 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6647 semantic_segmentation_loss_cls: 0.0089 2023/11/06 11:41:40 - mmengine - INFO - Iter(train) [475900/480000] base_lr: 2.0357e-06 lr: 2.0092e-06 eta: 2:39:25 time: 2.4440 data_time: 0.1547 memory: 25730 grad_norm: 2.0193 loss: 1.1608 grounding_loss_reg: 2.3345 detection_loss_cls: 0.0381 detection_loss_reg: 0.4023 caption_loss_cls: 2.0451 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6654 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:45:32 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 11:45:32 - mmengine - INFO - Iter(train) [476000/480000] base_lr: 2.0339e-06 lr: 2.0088e-06 eta: 2:35:31 time: 2.4292 data_time: 0.1538 memory: 26571 grad_norm: 2.0168 loss: 1.1623 grounding_loss_reg: 2.3351 detection_loss_cls: 0.0381 detection_loss_reg: 0.4034 caption_loss_cls: 2.0430 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6649 semantic_segmentation_loss_cls: 0.0089 2023/11/06 11:45:32 - mmengine - INFO - Saving checkpoint at 476000 iterations 2023/11/06 11:50:57 - mmengine - INFO - Iter(train) [476100/480000] base_lr: 2.0323e-06 lr: 2.0084e-06 eta: 2:32:13 time: 2.4354 data_time: 0.1536 memory: 26571 grad_norm: 2.0162 loss: 1.1600 grounding_loss_reg: 2.3366 detection_loss_cls: 0.0382 detection_loss_reg: 0.4037 caption_loss_cls: 2.0419 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6633 semantic_segmentation_loss_cls: 0.0090 2023/11/06 11:55:05 - mmengine - INFO - Iter(train) [476200/480000] base_lr: 2.0306e-06 lr: 2.0079e-06 eta: 2:28:24 time: 2.4374 data_time: 0.1537 memory: 26571 grad_norm: 2.0170 loss: 1.1584 grounding_loss_reg: 2.3326 detection_loss_cls: 0.0380 detection_loss_reg: 0.4032 caption_loss_cls: 2.0426 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6616 semantic_segmentation_loss_cls: 0.0089 2023/11/06 11:59:16 - mmengine - INFO - Iter(train) [476300/480000] base_lr: 2.0290e-06 lr: 2.0075e-06 eta: 2:24:36 time: 2.4397 data_time: 0.1537 memory: 26571 grad_norm: 2.0092 loss: 1.1518 grounding_loss_reg: 2.3329 detection_loss_cls: 0.0381 detection_loss_reg: 0.4042 caption_loss_cls: 2.0447 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2584 instance_segmentation_loss_poly: 0.6614 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:02:26 - mmengine - INFO - Iter(train) [476400/480000] base_lr: 2.0275e-06 lr: 2.0071e-06 eta: 2:20:26 time: 2.4332 data_time: 0.1537 memory: 26571 grad_norm: 2.0194 loss: 1.1588 grounding_loss_reg: 2.3357 detection_loss_cls: 0.0381 detection_loss_reg: 0.4037 caption_loss_cls: 2.0443 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6621 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:06:15 - mmengine - INFO - Iter(train) [476500/480000] base_lr: 2.0260e-06 lr: 2.0067e-06 eta: 2:16:30 time: 2.4328 data_time: 0.1537 memory: 25730 grad_norm: 2.0264 loss: 1.1626 grounding_loss_reg: 2.3370 detection_loss_cls: 0.0382 detection_loss_reg: 0.4039 caption_loss_cls: 2.0446 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6618 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:06:15 - mmengine - INFO - Saving checkpoint at 476500 iterations 2023/11/06 12:10:56 - mmengine - INFO - Iter(train) [476600/480000] base_lr: 2.0245e-06 lr: 2.0064e-06 eta: 2:12:51 time: 2.4320 data_time: 0.1541 memory: 25730 grad_norm: 2.0301 loss: 1.1675 grounding_loss_reg: 2.3383 detection_loss_cls: 0.0381 detection_loss_reg: 0.4042 caption_loss_cls: 2.0458 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6614 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:14:38 - mmengine - INFO - Iter(train) [476700/480000] base_lr: 2.0231e-06 lr: 2.0060e-06 eta: 2:08:53 time: 2.4329 data_time: 0.1541 memory: 26571 grad_norm: 2.0320 loss: 1.1730 grounding_loss_reg: 2.3367 detection_loss_cls: 0.0380 detection_loss_reg: 0.4036 caption_loss_cls: 2.0448 instance_segmentation_loss_cls: 0.0253 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6612 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:18:23 - mmengine - INFO - Iter(train) [476800/480000] base_lr: 2.0217e-06 lr: 2.0056e-06 eta: 2:04:55 time: 2.4312 data_time: 0.1541 memory: 26571 grad_norm: 2.0446 loss: 1.1752 grounding_loss_reg: 2.3356 detection_loss_cls: 0.0380 detection_loss_reg: 0.4034 caption_loss_cls: 2.0451 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2583 instance_segmentation_loss_poly: 0.6603 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:22:09 - mmengine - INFO - Iter(train) [476900/480000] base_lr: 2.0204e-06 lr: 2.0053e-06 eta: 2:00:59 time: 2.4337 data_time: 0.1541 memory: 25730 grad_norm: 2.0360 loss: 1.1664 grounding_loss_reg: 2.3370 detection_loss_cls: 0.0379 detection_loss_reg: 0.4032 caption_loss_cls: 2.0453 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2586 instance_segmentation_loss_poly: 0.6611 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:25:37 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 12:25:37 - mmengine - INFO - Iter(train) [477000/480000] base_lr: 2.0191e-06 lr: 2.0050e-06 eta: 1:56:58 time: 2.4351 data_time: 0.1541 memory: 26571 grad_norm: 2.0250 loss: 1.1667 grounding_loss_reg: 2.3380 detection_loss_cls: 0.0381 detection_loss_reg: 0.4040 caption_loss_cls: 2.0470 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2588 instance_segmentation_loss_poly: 0.6613 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:25:37 - mmengine - INFO - Saving checkpoint at 477000 iterations 2023/11/06 12:30:31 - mmengine - INFO - Iter(train) [477100/480000] base_lr: 2.0178e-06 lr: 2.0046e-06 eta: 1:53:19 time: 2.4401 data_time: 0.1540 memory: 25730 grad_norm: 2.0173 loss: 1.1620 grounding_loss_reg: 2.3390 detection_loss_cls: 0.0382 detection_loss_reg: 0.4039 caption_loss_cls: 2.0470 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2592 instance_segmentation_loss_poly: 0.6624 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:34:16 - mmengine - INFO - Iter(train) [477200/480000] base_lr: 2.0166e-06 lr: 2.0043e-06 eta: 1:49:22 time: 2.4427 data_time: 0.1541 memory: 26571 grad_norm: 2.0220 loss: 1.1602 grounding_loss_reg: 2.3390 detection_loss_cls: 0.0382 detection_loss_reg: 0.4038 caption_loss_cls: 2.0432 instance_segmentation_loss_cls: 0.0252 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.6619 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:37:44 - mmengine - INFO - Iter(train) [477300/480000] base_lr: 2.0155e-06 lr: 2.0040e-06 eta: 1:45:22 time: 2.4352 data_time: 0.1541 memory: 25730 grad_norm: 2.0226 loss: 1.1614 grounding_loss_reg: 2.3412 detection_loss_cls: 0.0382 detection_loss_reg: 0.4037 caption_loss_cls: 2.0434 instance_segmentation_loss_cls: 0.0251 instance_segmentation_loss_reg: 0.2590 instance_segmentation_loss_poly: 0.6622 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:41:25 - mmengine - INFO - Iter(train) [477400/480000] base_lr: 2.0143e-06 lr: 2.0037e-06 eta: 1:41:25 time: 2.4322 data_time: 0.1540 memory: 25730 grad_norm: 2.0183 loss: 1.1573 grounding_loss_reg: 2.3391 detection_loss_cls: 0.0381 detection_loss_reg: 0.4036 caption_loss_cls: 2.0424 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6611 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:45:11 - mmengine - INFO - Iter(train) [477500/480000] base_lr: 2.0133e-06 lr: 2.0034e-06 eta: 1:37:29 time: 2.4284 data_time: 0.1540 memory: 25730 grad_norm: 2.0077 loss: 1.1499 grounding_loss_reg: 2.3373 detection_loss_cls: 0.0383 detection_loss_reg: 0.4046 caption_loss_cls: 2.0401 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2581 instance_segmentation_loss_poly: 0.6611 semantic_segmentation_loss_cls: 0.0090 2023/11/06 12:45:11 - mmengine - INFO - Saving checkpoint at 477500 iterations 2023/11/06 12:50:05 - mmengine - INFO - Iter(train) [477600/480000] base_lr: 2.0122e-06 lr: 2.0032e-06 eta: 1:33:47 time: 2.4369 data_time: 0.1539 memory: 26571 grad_norm: 2.0169 loss: 1.1512 grounding_loss_reg: 2.3383 detection_loss_cls: 0.0383 detection_loss_reg: 0.4040 caption_loss_cls: 2.0404 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2582 instance_segmentation_loss_poly: 0.6612 semantic_segmentation_loss_cls: 0.0090 2023/11/06 12:53:47 - mmengine - INFO - Iter(train) [477700/480000] base_lr: 2.0112e-06 lr: 2.0029e-06 eta: 1:29:50 time: 2.4382 data_time: 0.1539 memory: 26571 grad_norm: 2.0062 loss: 1.1500 grounding_loss_reg: 2.3384 detection_loss_cls: 0.0383 detection_loss_reg: 0.4035 caption_loss_cls: 2.0393 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6608 semantic_segmentation_loss_cls: 0.0089 2023/11/06 12:57:57 - mmengine - INFO - Iter(train) [477800/480000] base_lr: 2.0103e-06 lr: 2.0027e-06 eta: 1:25:59 time: 2.4339 data_time: 0.1539 memory: 26571 grad_norm: 1.9905 loss: 1.1420 grounding_loss_reg: 2.3357 detection_loss_cls: 0.0382 detection_loss_reg: 0.4028 caption_loss_cls: 2.0400 instance_segmentation_loss_cls: 0.0250 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6606 semantic_segmentation_loss_cls: 0.0089 2023/11/06 13:02:10 - mmengine - INFO - Iter(train) [477900/480000] base_lr: 2.0094e-06 lr: 2.0024e-06 eta: 1:22:07 time: 2.4394 data_time: 0.1548 memory: 25730 grad_norm: 1.9910 loss: 1.1437 grounding_loss_reg: 2.3356 detection_loss_cls: 0.0382 detection_loss_reg: 0.4023 caption_loss_cls: 2.0441 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.6607 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:05:44 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 13:05:44 - mmengine - INFO - Iter(train) [478000/480000] base_lr: 2.0085e-06 lr: 2.0022e-06 eta: 1:18:09 time: 2.4383 data_time: 0.1548 memory: 26571 grad_norm: 2.0072 loss: 1.1479 grounding_loss_reg: 2.3344 detection_loss_cls: 0.0382 detection_loss_reg: 0.4026 caption_loss_cls: 2.0446 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2577 instance_segmentation_loss_poly: 0.6601 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:05:44 - mmengine - INFO - Saving checkpoint at 478000 iterations 2023/11/06 13:10:48 - mmengine - INFO - Iter(train) [478100/480000] base_lr: 2.0077e-06 lr: 2.0020e-06 eta: 1:14:26 time: 2.4302 data_time: 0.1546 memory: 26571 grad_norm: 2.0062 loss: 1.1464 grounding_loss_reg: 2.3333 detection_loss_cls: 0.0381 detection_loss_reg: 0.4018 caption_loss_cls: 2.0442 instance_segmentation_loss_cls: 0.0249 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.6595 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:14:13 - mmengine - INFO - Iter(train) [478200/480000] base_lr: 2.0069e-06 lr: 2.0018e-06 eta: 1:10:26 time: 2.4164 data_time: 0.1546 memory: 25730 grad_norm: 2.0068 loss: 1.1435 grounding_loss_reg: 2.3322 detection_loss_cls: 0.0380 detection_loss_reg: 0.4015 caption_loss_cls: 2.0418 instance_segmentation_loss_cls: 0.0248 instance_segmentation_loss_reg: 0.2566 instance_segmentation_loss_poly: 0.6583 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:18:15 - mmengine - INFO - Iter(train) [478300/480000] base_lr: 2.0061e-06 lr: 2.0016e-06 eta: 1:06:32 time: 2.4177 data_time: 0.1546 memory: 26571 grad_norm: 2.0158 loss: 1.1426 grounding_loss_reg: 2.3325 detection_loss_cls: 0.0380 detection_loss_reg: 0.4012 caption_loss_cls: 2.0402 instance_segmentation_loss_cls: 0.0248 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.6590 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:22:07 - mmengine - INFO - Iter(train) [478400/480000] base_lr: 2.0054e-06 lr: 2.0014e-06 eta: 1:02:37 time: 2.4224 data_time: 0.1546 memory: 25730 grad_norm: 2.0098 loss: 1.1441 grounding_loss_reg: 2.3321 detection_loss_cls: 0.0380 detection_loss_reg: 0.4004 caption_loss_cls: 2.0404 instance_segmentation_loss_cls: 0.0248 instance_segmentation_loss_reg: 0.2561 instance_segmentation_loss_poly: 0.6579 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:37:51 - mmengine - INFO - Iter(train) [478500/480000] base_lr: 2.0048e-06 lr: 2.0012e-06 eta: 1:00:07 time: 2.6053 data_time: 0.1615 memory: 25730 grad_norm: 2.0074 loss: 1.1431 grounding_loss_reg: 2.3311 detection_loss_cls: 0.0380 detection_loss_reg: 0.4005 caption_loss_cls: 2.0397 instance_segmentation_loss_cls: 0.0247 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.6588 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:37:51 - mmengine - INFO - Saving checkpoint at 478500 iterations 2023/11/06 13:43:42 - mmengine - INFO - Iter(train) [478600/480000] base_lr: 2.0042e-06 lr: 2.0011e-06 eta: 0:56:19 time: 2.6184 data_time: 0.1728 memory: 25730 grad_norm: 2.0203 loss: 1.1421 grounding_loss_reg: 2.3277 detection_loss_cls: 0.0381 detection_loss_reg: 0.4002 caption_loss_cls: 2.0408 instance_segmentation_loss_cls: 0.0247 instance_segmentation_loss_reg: 0.2557 instance_segmentation_loss_poly: 0.6578 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:47:07 - mmengine - INFO - Iter(train) [478700/480000] base_lr: 2.0036e-06 lr: 2.0009e-06 eta: 0:52:14 time: 2.6183 data_time: 0.1729 memory: 26571 grad_norm: 2.0219 loss: 1.1407 grounding_loss_reg: 2.3271 detection_loss_cls: 0.0380 detection_loss_reg: 0.3996 caption_loss_cls: 2.0423 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.6573 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:51:11 - mmengine - INFO - Iter(train) [478800/480000] base_lr: 2.0031e-06 lr: 2.0008e-06 eta: 0:48:13 time: 2.6258 data_time: 0.1729 memory: 26571 grad_norm: 1.9933 loss: 1.1361 grounding_loss_reg: 2.3273 detection_loss_cls: 0.0382 detection_loss_reg: 0.4018 caption_loss_cls: 2.0448 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2554 instance_segmentation_loss_poly: 0.6573 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:55:04 - mmengine - INFO - Iter(train) [478900/480000] base_lr: 2.0026e-06 lr: 2.0007e-06 eta: 0:44:11 time: 2.6285 data_time: 0.1729 memory: 26571 grad_norm: 1.9908 loss: 1.1330 grounding_loss_reg: 2.3257 detection_loss_cls: 0.0382 detection_loss_reg: 0.4017 caption_loss_cls: 2.0434 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.6579 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:58:28 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 13:58:28 - mmengine - INFO - Iter(train) [479000/480000] base_lr: 2.0021e-06 lr: 2.0006e-06 eta: 0:40:07 time: 2.6204 data_time: 0.1724 memory: 26571 grad_norm: 1.9914 loss: 1.1349 grounding_loss_reg: 2.3247 detection_loss_cls: 0.0381 detection_loss_reg: 0.4015 caption_loss_cls: 2.0434 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2556 instance_segmentation_loss_poly: 0.6577 semantic_segmentation_loss_cls: 0.0090 2023/11/06 13:58:28 - mmengine - INFO - Saving checkpoint at 479000 iterations 2023/11/06 14:03:29 - mmengine - INFO - Iter(train) [479100/480000] base_lr: 2.0017e-06 lr: 2.0004e-06 eta: 0:36:11 time: 2.6140 data_time: 0.1717 memory: 26571 grad_norm: 1.9865 loss: 1.1396 grounding_loss_reg: 2.3245 detection_loss_cls: 0.0383 detection_loss_reg: 0.4020 caption_loss_cls: 2.0443 instance_segmentation_loss_cls: 0.0245 instance_segmentation_loss_reg: 0.2557 instance_segmentation_loss_poly: 0.6581 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:07:08 - mmengine - INFO - Iter(train) [479200/480000] base_lr: 2.0014e-06 lr: 2.0004e-06 eta: 0:32:08 time: 2.6148 data_time: 0.1717 memory: 25730 grad_norm: 1.9846 loss: 1.1409 grounding_loss_reg: 2.3241 detection_loss_cls: 0.0383 detection_loss_reg: 0.4026 caption_loss_cls: 2.0428 instance_segmentation_loss_cls: 0.0245 instance_segmentation_loss_reg: 0.2558 instance_segmentation_loss_poly: 0.6583 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:10:31 - mmengine - INFO - Iter(train) [479300/480000] base_lr: 2.0010e-06 lr: 2.0003e-06 eta: 0:28:05 time: 2.6064 data_time: 0.1717 memory: 26571 grad_norm: 1.9840 loss: 1.1482 grounding_loss_reg: 2.3237 detection_loss_cls: 0.0382 detection_loss_reg: 0.4021 caption_loss_cls: 2.0478 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2563 instance_segmentation_loss_poly: 0.6584 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:14:38 - mmengine - INFO - Iter(train) [479400/480000] base_lr: 2.0008e-06 lr: 2.0002e-06 eta: 0:24:05 time: 2.6133 data_time: 0.1717 memory: 26571 grad_norm: 1.9766 loss: 1.1426 grounding_loss_reg: 2.3237 detection_loss_cls: 0.0382 detection_loss_reg: 0.4022 caption_loss_cls: 2.0474 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2566 instance_segmentation_loss_poly: 0.6591 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:18:24 - mmengine - INFO - Iter(train) [479500/480000] base_lr: 2.0005e-06 lr: 2.0001e-06 eta: 0:20:03 time: 2.6148 data_time: 0.1717 memory: 26571 grad_norm: 1.9747 loss: 1.1407 grounding_loss_reg: 2.3242 detection_loss_cls: 0.0382 detection_loss_reg: 0.4012 caption_loss_cls: 2.0454 instance_segmentation_loss_cls: 0.0247 instance_segmentation_loss_reg: 0.2568 instance_segmentation_loss_poly: 0.6593 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:18:24 - mmengine - INFO - Saving checkpoint at 479500 iterations 2023/11/06 14:23:05 - mmengine - INFO - Iter(train) [479600/480000] base_lr: 2.0003e-06 lr: 2.0001e-06 eta: 0:16:04 time: 2.6064 data_time: 0.1717 memory: 25730 grad_norm: 1.9733 loss: 1.1375 grounding_loss_reg: 2.3255 detection_loss_cls: 0.0382 detection_loss_reg: 0.4018 caption_loss_cls: 2.0423 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2566 instance_segmentation_loss_poly: 0.6592 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:29:07 - mmengine - INFO - Iter(train) [479700/480000] base_lr: 2.0002e-06 lr: 2.0000e-06 eta: 0:12:05 time: 2.6409 data_time: 0.1760 memory: 26571 grad_norm: 1.9706 loss: 1.1391 grounding_loss_reg: 2.3244 detection_loss_cls: 0.0384 detection_loss_reg: 0.4030 caption_loss_cls: 2.0428 instance_segmentation_loss_cls: 0.0245 instance_segmentation_loss_reg: 0.2566 instance_segmentation_loss_poly: 0.6580 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:33:03 - mmengine - INFO - Iter(train) [479800/480000] base_lr: 2.0001e-06 lr: 2.0000e-06 eta: 0:08:03 time: 2.6263 data_time: 0.1748 memory: 25730 grad_norm: 1.9703 loss: 1.1351 grounding_loss_reg: 2.3229 detection_loss_cls: 0.0383 detection_loss_reg: 0.4014 caption_loss_cls: 2.0428 instance_segmentation_loss_cls: 0.0245 instance_segmentation_loss_reg: 0.2574 instance_segmentation_loss_poly: 0.6591 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:37:03 - mmengine - INFO - Iter(train) [479900/480000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:04:01 time: 2.6299 data_time: 0.1749 memory: 25730 grad_norm: 1.9707 loss: 1.1378 grounding_loss_reg: 2.3236 detection_loss_cls: 0.0382 detection_loss_reg: 0.4010 caption_loss_cls: 2.0441 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2578 instance_segmentation_loss_poly: 0.6603 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:40:56 - mmengine - INFO - Exp name: univision_joint_all_huge_20231106_043429 2023/11/06 14:40:56 - mmengine - INFO - Iter(train) [480000/480000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 2.6302 data_time: 0.1749 memory: 26571 grad_norm: 1.9661 loss: 1.1349 grounding_loss_reg: 2.3245 detection_loss_cls: 0.0383 detection_loss_reg: 0.4014 caption_loss_cls: 2.0423 instance_segmentation_loss_cls: 0.0246 instance_segmentation_loss_reg: 0.2579 instance_segmentation_loss_poly: 0.6603 semantic_segmentation_loss_cls: 0.0090 2023/11/06 14:40:56 - mmengine - INFO - Saving checkpoint at 480000 iterations 2023/11/06 14:47:03 - mmengine - INFO - Evaluating bbox... 2023/11/06 14:48:09 - mmengine - INFO - bbox_mAP_copypaste: 0.532 0.711 0.582 0.385 0.578 0.687 2023/11/06 14:48:09 - mmengine - INFO - Evaluating segm... 2023/11/06 14:49:23 - mmengine - INFO - segm_mAP_copypaste: 0.359 0.626 0.361 0.224 0.408 0.551 2023/11/06 14:50:46 - mmengine - INFO - Evaluating bbox... 2023/11/06 14:51:53 - mmengine - INFO - bbox_mAP_copypaste: 0.533 0.712 0.583 0.376 0.579 0.690 2023/11/06 14:55:04 - mmengine - INFO - per class results: 2023/11/06 14:55:04 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.06 | 89.83 | | building | 83.07 | 91.92 | | sky | 93.33 | 97.8 | | floor | 82.94 | 90.59 | | tree | 74.6 | 87.21 | | ceiling | 84.83 | 93.91 | | road | 85.53 | 90.15 | | bed | 90.09 | 95.92 | | windowpane | 63.77 | 80.97 | | grass | 69.33 | 84.49 | | cabinet | 63.45 | 74.98 | | sidewalk | 69.3 | 81.54 | | person | 81.78 | 91.67 | | earth | 45.96 | 60.52 | | door | 54.27 | 65.99 | | table | 66.64 | 81.01 | | mountain | 61.04 | 75.63 | | plant | 54.96 | 65.96 | | curtain | 74.79 | 88.06 | | chair | 60.63 | 73.6 | | car | 83.65 | 92.32 | | water | 62.85 | 76.5 | | painting | 73.94 | 86.15 | | sofa | 75.0 | 86.6 | | shelf | 46.36 | 65.21 | | house | 42.14 | 62.85 | | sea | 67.05 | 88.68 | | mirror | 69.59 | 78.28 | | rug | 67.89 | 77.8 | | field | 29.4 | 42.9 | | armchair | 53.11 | 71.85 | | seat | 67.57 | 85.22 | | fence | 45.67 | 60.55 | | desk | 56.01 | 76.91 | | rock | 45.68 | 62.13 | | wardrobe | 55.26 | 71.18 | | lamp | 62.23 | 75.18 | | bathtub | 86.86 | 90.19 | | railing | 34.59 | 47.47 | | cushion | 63.23 | 74.55 | | base | 27.29 | 41.79 | | box | 31.6 | 40.37 | | column | 48.23 | 60.18 | | signboard | 38.37 | 53.41 | | chest of drawers | 39.02 | 62.72 | | counter | 23.69 | 28.37 | | sand | 61.67 | 80.72 | | sink | 78.27 | 85.76 | | skyscraper | 50.76 | 59.98 | | fireplace | 73.67 | 87.17 | | refrigerator | 78.79 | 87.91 | | grandstand | 46.93 | 78.85 | | path | 27.22 | 43.61 | | stairs | 39.37 | 52.04 | | runway | 75.14 | 94.44 | | case | 54.5 | 67.98 | | pool table | 91.38 | 95.41 | | pillow | 56.93 | 68.13 | | screen door | 74.96 | 78.41 | | stairway | 32.51 | 38.64 | | river | 15.71 | 24.16 | | bridge | 68.01 | 78.82 | | bookcase | 38.32 | 57.78 | | blind | 40.46 | 44.28 | | coffee table | 63.16 | 78.04 | | toilet | 88.0 | 92.09 | | flower | 40.13 | 55.14 | | book | 45.67 | 67.84 | | hill | 10.05 | 15.62 | | bench | 58.72 | 72.19 | | countertop | 65.09 | 76.77 | | stove | 77.13 | 85.72 | | palm | 49.63 | 67.63 | | kitchen island | 44.29 | 80.91 | | computer | 74.65 | 87.44 | | swivel chair | 48.14 | 62.92 | | boat | 63.91 | 78.53 | | bar | 45.46 | 61.48 | | arcade machine | 69.24 | 75.09 | | hovel | 36.38 | 41.07 | | bus | 92.89 | 95.77 | | towel | 66.81 | 79.9 | | light | 49.87 | 57.66 | | truck | 45.22 | 62.6 | | tower | 48.11 | 71.75 | | chandelier | 61.49 | 75.25 | | awning | 27.91 | 33.49 | | streetlight | 33.48 | 44.56 | | booth | 34.54 | 41.53 | | television receiver | 72.29 | 85.43 | | airplane | 62.46 | 68.96 | | dirt track | 3.0 | 14.69 | | apparel | 42.22 | 59.24 | | pole | 25.73 | 36.42 | | land | 0.78 | 0.98 | | bannister | 14.69 | 20.03 | | escalator | 27.99 | 31.8 | | ottoman | 50.39 | 71.64 | | bottle | 27.78 | 34.19 | | buffet | 42.89 | 47.14 | | poster | 35.08 | 45.85 | | stage | 10.84 | 16.24 | | van | 40.64 | 48.97 | | ship | 76.58 | 85.61 | | fountain | 30.29 | 31.76 | | conveyer belt | 72.21 | 89.62 | | canopy | 23.69 | 27.29 | | washer | 72.57 | 74.67 | | plaything | 24.97 | 30.98 | | swimming pool | 83.22 | 88.8 | | stool | 48.63 | 62.78 | | barrel | 54.35 | 64.84 | | basket | 29.33 | 46.34 | | waterfall | 75.18 | 84.16 | | tent | 91.48 | 97.01 | | bag | 22.11 | 26.85 | | minibike | 73.98 | 87.63 | | cradle | 79.43 | 93.02 | | oven | 49.71 | 60.97 | | ball | 51.43 | 65.19 | | food | 49.37 | 53.63 | | step | 10.77 | 13.62 | | tank | 41.15 | 60.13 | | trade name | 21.94 | 24.04 | | microwave | 87.96 | 93.87 | | pot | 54.85 | 62.89 | | animal | 65.69 | 69.85 | | bicycle | 60.92 | 79.86 | | lake | 52.29 | 63.16 | | dishwasher | 72.23 | 76.57 | | screen | 65.94 | 83.79 | | blanket | 21.44 | 25.52 | | sculpture | 75.67 | 84.1 | | hood | 67.97 | 83.69 | | sconce | 42.4 | 52.0 | | vase | 42.88 | 59.37 | | traffic light | 38.55 | 52.58 | | tray | 15.71 | 29.36 | | ashcan | 43.05 | 58.9 | | fan | 59.42 | 69.76 | | pier | 36.59 | 39.3 | | crt screen | 5.87 | 10.55 | | plate | 56.77 | 69.78 | | monitor | 37.16 | 44.07 | | bulletin board | 48.28 | 56.92 | | shower | 3.95 | 5.34 | | radiator | 56.84 | 65.76 | | glass | 18.3 | 19.63 | | clock | 28.09 | 35.11 | | flag | 61.96 | 68.46 | +---------------------+-------+-------+ 2023/11/06 14:55:28 - mmengine - INFO - Iter(val) [100/79] eta: -1 day, 23:58:25 time: 1.1660 data_time: 0.0100 memory: 27852 2023/11/06 14:55:49 - mmengine - INFO - Iter(val) [79/79] coco/bbox_mAP: 0.5330 coco/bbox_mAP_50: 0.7120 coco/bbox_mAP_75: 0.5830 coco/bbox_mAP_s: 0.3760 coco/bbox_mAP_m: 0.5790 coco/bbox_mAP_l: 0.6900 coco/segm_mAP: 0.3590 coco/segm_mAP_50: 0.6260 coco/segm_mAP_75: 0.3610 coco/segm_mAP_s: 0.2240 coco/segm_mAP_m: 0.4080 coco/segm_mAP_l: 0.5510 Bleu_1: 0.7720 Bleu_2: 0.6102 Bleu_3: 0.4700 Bleu_4: 0.3596 METEOR: 0.2917 ROUGE_L: 0.5805 CIDEr: 1.2140 SPICE: 0.2198 aAcc: 84.5200 mIoU: 52.9300 mAcc: 64.1100 visual-grounding/miou: 0.8205 visual-grounding/acc: 0.8830 data_time: 0.0012 time: 0.2605