diff --git "a/universal_base.log" "b/universal_base.log" new file mode 100644--- /dev/null +++ "b/universal_base.log" @@ -0,0 +1,5263 @@ +2023/10/02 22:46:49 - mmengine - INFO - Iter(train) [ 500/320000] base_lr: 2.0000e-04 lr: 8.0000e-05 eta: 4 days, 17:04:59 time: 1.2742 data_time: 0.0205 memory: 22142 grad_norm: 18.5865 loss: 4.2241 semantic_segmentation_loss_cls: 0.3142 caption_loss_cls: 8.5020 instance_segmentation_loss_cls: 0.5334 instance_segmentation_loss_reg: 0.5658 instance_segmentation_loss_poly: 2.4238 detection_loss_cls: 1.0921 detection_loss_reg: 1.0779 grounding_loss_reg: 7.6324 +2023/10/02 22:46:49 - mmengine - INFO - Saving checkpoint at 500 iterations +2023/10/02 23:00:02 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/02 23:00:02 - mmengine - INFO - Iter(train) [ 1000/320000] base_lr: 2.0000e-04 lr: 7.9998e-05 eta: 5 days, 6:45:38 time: 1.4305 data_time: 0.0759 memory: 22142 grad_norm: 11.5856 loss: 3.6435 semantic_segmentation_loss_cls: 0.2382 caption_loss_cls: 6.7939 instance_segmentation_loss_cls: 0.3880 instance_segmentation_loss_reg: 0.5090 instance_segmentation_loss_poly: 2.1098 detection_loss_cls: 0.7553 detection_loss_reg: 0.9946 grounding_loss_reg: 7.0154 +2023/10/02 23:00:02 - mmengine - INFO - Saving checkpoint at 1000 iterations +2023/10/02 23:14:57 - mmengine - INFO - Iter(train) [ 1500/320000] base_lr: 1.9999e-04 lr: 7.9996e-05 eta: 5 days, 17:08:34 time: 1.5501 data_time: 0.0933 memory: 22142 grad_norm: 8.6819 loss: 3.2437 semantic_segmentation_loss_cls: 0.1850 caption_loss_cls: 6.0910 instance_segmentation_loss_cls: 0.3145 instance_segmentation_loss_reg: 0.4556 instance_segmentation_loss_poly: 1.8538 detection_loss_cls: 0.6162 detection_loss_reg: 0.9397 grounding_loss_reg: 6.8825 +2023/10/02 23:14:57 - mmengine - INFO - Saving checkpoint at 1500 iterations +2023/10/02 23:31:19 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/02 23:31:19 - mmengine - INFO - Iter(train) [ 2000/320000] base_lr: 1.9998e-04 lr: 7.9992e-05 eta: 6 days, 2:05:17 time: 1.6538 data_time: 0.1029 memory: 22142 grad_norm: 7.0842 loss: 2.9947 semantic_segmentation_loss_cls: 0.1522 caption_loss_cls: 5.7018 instance_segmentation_loss_cls: 0.2822 instance_segmentation_loss_reg: 0.4470 instance_segmentation_loss_poly: 1.7593 detection_loss_cls: 0.5270 detection_loss_reg: 0.9060 grounding_loss_reg: 6.7007 +2023/10/02 23:31:19 - mmengine - INFO - Saving checkpoint at 2000 iterations +2023/10/02 23:47:17 - mmengine - INFO - Iter(train) [ 2500/320000] base_lr: 1.9997e-04 lr: 7.9988e-05 eta: 6 days, 6:28:47 time: 1.7062 data_time: 0.1077 memory: 22142 grad_norm: 6.0458 loss: 2.8416 semantic_segmentation_loss_cls: 0.1329 caption_loss_cls: 5.3744 instance_segmentation_loss_cls: 0.2595 instance_segmentation_loss_reg: 0.4371 instance_segmentation_loss_poly: 1.6952 detection_loss_cls: 0.4736 detection_loss_reg: 0.8805 grounding_loss_reg: 6.6242 +2023/10/02 23:47:17 - mmengine - INFO - Saving checkpoint at 2500 iterations +2023/10/03 00:04:31 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/03 00:04:31 - mmengine - INFO - Iter(train) [ 3000/320000] base_lr: 1.9996e-04 lr: 7.9983e-05 eta: 6 days, 11:32:33 time: 1.7664 data_time: 0.1117 memory: 22142 grad_norm: 5.3632 loss: 2.7307 semantic_segmentation_loss_cls: 0.1203 caption_loss_cls: 5.1347 instance_segmentation_loss_cls: 0.2430 instance_segmentation_loss_reg: 0.4304 instance_segmentation_loss_poly: 1.6403 detection_loss_cls: 0.4359 detection_loss_reg: 0.8603 grounding_loss_reg: 6.5613 +2023/10/03 00:04:31 - mmengine - INFO - Saving checkpoint at 3000 iterations +2023/10/03 00:21:07 - mmengine - INFO - Iter(train) [ 3500/320000] base_lr: 1.9994e-04 lr: 7.9977e-05 eta: 6 days, 14:07:31 time: 1.7986 data_time: 0.1144 memory: 22142 grad_norm: 4.8515 loss: 2.6706 semantic_segmentation_loss_cls: 0.1091 caption_loss_cls: 4.9744 instance_segmentation_loss_cls: 0.2294 instance_segmentation_loss_reg: 0.4257 instance_segmentation_loss_poly: 1.6073 detection_loss_cls: 0.4129 detection_loss_reg: 0.8541 grounding_loss_reg: 6.4548 +2023/10/03 00:21:07 - mmengine - INFO - Saving checkpoint at 3500 iterations +2023/10/03 00:37:34 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/03 00:37:34 - mmengine - INFO - Iter(train) [ 4000/320000] base_lr: 1.9992e-04 lr: 7.9970e-05 eta: 6 days, 15:47:57 time: 1.8205 data_time: 0.1167 memory: 22142 grad_norm: 4.6834 loss: 2.6022 semantic_segmentation_loss_cls: 0.1004 caption_loss_cls: 4.8397 instance_segmentation_loss_cls: 0.2185 instance_segmentation_loss_reg: 0.4198 instance_segmentation_loss_poly: 1.5629 detection_loss_cls: 0.3905 detection_loss_reg: 0.8329 grounding_loss_reg: 6.4225 +2023/10/03 00:37:34 - mmengine - INFO - Saving checkpoint at 4000 iterations +2023/10/03 00:54:54 - mmengine - INFO - Iter(train) [ 4500/320000] base_lr: 1.9990e-04 lr: 7.9962e-05 eta: 6 days, 18:04:34 time: 1.9213 data_time: 0.1297 memory: 22142 grad_norm: 2.6042 loss: 2.3272 semantic_segmentation_loss_cls: 0.0934 caption_loss_cls: 4.7181 instance_segmentation_loss_cls: 0.2095 instance_segmentation_loss_reg: 0.4124 instance_segmentation_loss_poly: 1.5305 detection_loss_cls: 0.3727 detection_loss_reg: 0.8233 grounding_loss_reg: 6.3514 +2023/10/03 00:54:54 - mmengine - INFO - Saving checkpoint at 4500 iterations +2023/10/03 01:12:04 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/03 01:12:04 - mmengine - INFO - Iter(train) [ 5000/320000] base_lr: 1.9988e-04 lr: 7.9953e-05 eta: 6 days, 19:40:15 time: 1.9805 data_time: 0.1293 memory: 22142 grad_norm: 3.1063 loss: 2.2092 semantic_segmentation_loss_cls: 0.0872 caption_loss_cls: 4.6530 instance_segmentation_loss_cls: 0.2024 instance_segmentation_loss_reg: 0.4070 instance_segmentation_loss_poly: 1.4962 detection_loss_cls: 0.3597 detection_loss_reg: 0.8133 grounding_loss_reg: 6.2560 +2023/10/03 01:12:04 - mmengine - INFO - Saving checkpoint at 5000 iterations +2023/10/03 01:28:49 - mmengine - INFO - Iter(train) [ 5500/320000] base_lr: 1.9986e-04 lr: 7.9943e-05 eta: 6 days, 20:30:53 time: 2.0080 data_time: 0.1291 memory: 22142 grad_norm: 8.1320 loss: 2.1799 semantic_segmentation_loss_cls: 0.0822 caption_loss_cls: 4.5946 instance_segmentation_loss_cls: 0.1953 instance_segmentation_loss_reg: 0.4029 instance_segmentation_loss_poly: 1.4759 detection_loss_cls: 0.3489 detection_loss_reg: 0.8082 grounding_loss_reg: 6.2138 +2023/10/03 01:28:49 - mmengine - INFO - Saving checkpoint at 5500 iterations +2023/10/03 01:45:54 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/03 01:45:54 - mmengine - INFO - Iter(train) [ 6000/320000] base_lr: 1.9983e-04 lr: 7.9932e-05 eta: 6 days, 21:28:05 time: 2.0187 data_time: 0.1282 memory: 22142 grad_norm: 8.0472 loss: 2.1529 semantic_segmentation_loss_cls: 0.0786 caption_loss_cls: 4.5177 instance_segmentation_loss_cls: 0.1875 instance_segmentation_loss_reg: 0.3940 instance_segmentation_loss_poly: 1.4423 detection_loss_cls: 0.3393 detection_loss_reg: 0.8040 grounding_loss_reg: 6.1835 +2023/10/03 01:45:54 - mmengine - INFO - Saving checkpoint at 6000 iterations +2023/10/03 02:03:30 - mmengine - INFO - Iter(train) [ 6500/320000] base_lr: 1.9980e-04 lr: 7.9921e-05 eta: 6 days, 22:38:06 time: 2.0431 data_time: 0.1282 memory: 22142 grad_norm: 8.8801 loss: 2.1592 semantic_segmentation_loss_cls: 0.0747 caption_loss_cls: 4.5395 instance_segmentation_loss_cls: 0.1820 instance_segmentation_loss_reg: 0.3901 instance_segmentation_loss_poly: 1.4181 detection_loss_cls: 0.3299 detection_loss_reg: 0.7977 grounding_loss_reg: 6.1616 +2023/10/03 02:03:30 - mmengine - INFO - Saving checkpoint at 6500 iterations +2023/10/03 02:19:34 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/03 02:19:34 - mmengine - INFO - Iter(train) [ 7000/320000] base_lr: 1.9977e-04 lr: 7.9908e-05 eta: 6 days, 22:27:31 time: 2.0256 data_time: 0.1274 memory: 22142 grad_norm: 8.8096 loss: 2.1481 semantic_segmentation_loss_cls: 0.0712 caption_loss_cls: 4.4665 instance_segmentation_loss_cls: 0.1782 instance_segmentation_loss_reg: 0.3869 instance_segmentation_loss_poly: 1.4020 detection_loss_cls: 0.3230 detection_loss_reg: 0.7957 grounding_loss_reg: 6.1340 +2023/10/03 02:19:34 - mmengine - INFO - Saving checkpoint at 7000 iterations +2023/10/03 02:36:51 - mmengine - INFO - Iter(train) [ 7500/320000] base_lr: 1.9973e-04 lr: 7.9894e-05 eta: 6 days, 23:07:26 time: 2.0361 data_time: 0.1276 memory: 22142 grad_norm: 8.7867 loss: 2.1330 semantic_segmentation_loss_cls: 0.0688 caption_loss_cls: 4.4145 instance_segmentation_loss_cls: 0.1758 instance_segmentation_loss_reg: 0.3880 instance_segmentation_loss_poly: 1.3956 detection_loss_cls: 0.3176 detection_loss_reg: 0.7952 grounding_loss_reg: 6.1137 +2023/10/03 02:36:51 - mmengine - INFO - Saving checkpoint at 7500 iterations +2023/10/03 02:54:12 - mmengine - INFO - Exp name: univision_joint_all_20231002_220947 +2023/10/03 02:54:12 - mmengine - INFO - Iter(train) [ 8000/320000] base_lr: 1.9969e-04 lr: 7.9880e-05 eta: 6 days, 23:42:20 time: 2.0496 data_time: 0.1275 memory: 22142 grad_norm: 8.5111 loss: 2.1194 semantic_segmentation_loss_cls: 0.0664 caption_loss_cls: 4.3626 instance_segmentation_loss_cls: 0.1723 instance_segmentation_loss_reg: 0.3840 instance_segmentation_loss_poly: 1.3755 detection_loss_cls: 0.3119 detection_loss_reg: 0.7946 grounding_loss_reg: 6.0665 +2023/10/03 02:54:12 - mmengine - INFO - Saving checkpoint at 8000 iterations +2023/10/03 06:42:30 - mmengine - INFO - Iter(train) [ 8500/320000] base_lr: 1.9966e-04 lr: 7.9864e-05 eta: 4 days, 18:28:43 time: 1.9550 data_time: 0.1146 memory: 22140 grad_norm: 10.0680 loss: 2.1543 semantic_segmentation_loss_cls: 0.0639 caption_loss_cls: 4.3790 instance_segmentation_loss_cls: 0.1725 instance_segmentation_loss_reg: 0.3889 instance_segmentation_loss_poly: 1.3790 detection_loss_cls: 0.3063 detection_loss_reg: 0.7924 grounding_loss_reg: 6.0341 +2023/10/03 06:42:30 - mmengine - INFO - Saving checkpoint at 8500 iterations +2023/10/03 06:56:27 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 06:56:27 - mmengine - INFO - Iter(train) [ 9000/320000] base_lr: 1.9961e-04 lr: 7.9848e-05 eta: 5 days, 9:26:00 time: 1.9065 data_time: 0.1141 memory: 22140 grad_norm: 9.7388 loss: 2.1488 semantic_segmentation_loss_cls: 0.0622 caption_loss_cls: 4.3232 instance_segmentation_loss_cls: 0.1694 instance_segmentation_loss_reg: 0.3861 instance_segmentation_loss_poly: 1.3666 detection_loss_cls: 0.3001 detection_loss_reg: 0.7849 grounding_loss_reg: 5.9956 +2023/10/03 06:56:27 - mmengine - INFO - Saving checkpoint at 9000 iterations +2023/10/03 07:11:23 - mmengine - INFO - Iter(train) [ 9500/320000] base_lr: 1.9957e-04 lr: 7.9831e-05 eta: 5 days, 17:42:52 time: 1.8795 data_time: 0.1137 memory: 22140 grad_norm: 4.4978 loss: 2.1117 semantic_segmentation_loss_cls: 0.0605 caption_loss_cls: 4.2863 instance_segmentation_loss_cls: 0.1656 instance_segmentation_loss_reg: 0.3818 instance_segmentation_loss_poly: 1.3482 detection_loss_cls: 0.2950 detection_loss_reg: 0.7815 grounding_loss_reg: 5.9684 +2023/10/03 07:11:24 - mmengine - INFO - Saving checkpoint at 9500 iterations +2023/10/03 07:27:33 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 07:27:33 - mmengine - INFO - Iter(train) [ 10000/320000] base_lr: 1.9952e-04 lr: 7.9812e-05 eta: 6 days, 0:52:13 time: 1.8657 data_time: 0.1138 memory: 22140 grad_norm: 4.4406 loss: 2.0886 semantic_segmentation_loss_cls: 0.0588 caption_loss_cls: 4.2501 instance_segmentation_loss_cls: 0.1648 instance_segmentation_loss_reg: 0.3833 instance_segmentation_loss_poly: 1.3450 detection_loss_cls: 0.2892 detection_loss_reg: 0.7759 grounding_loss_reg: 5.9434 +2023/10/03 07:27:33 - mmengine - INFO - Saving checkpoint at 10000 iterations +2023/10/03 07:42:48 - mmengine - INFO - Iter(train) [ 10500/320000] base_lr: 1.9947e-04 lr: 7.9793e-05 eta: 6 days, 3:10:15 time: 1.8306 data_time: 0.1131 memory: 22140 grad_norm: 3.5155 loss: 2.0359 semantic_segmentation_loss_cls: 0.0571 caption_loss_cls: 4.2141 instance_segmentation_loss_cls: 0.1622 instance_segmentation_loss_reg: 0.3803 instance_segmentation_loss_poly: 1.3322 detection_loss_cls: 0.2848 detection_loss_reg: 0.7732 grounding_loss_reg: 5.9215 +2023/10/03 07:42:48 - mmengine - INFO - Saving checkpoint at 10500 iterations +2023/10/03 07:59:57 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 07:59:57 - mmengine - INFO - Iter(train) [ 11000/320000] base_lr: 1.9942e-04 lr: 7.9773e-05 eta: 6 days, 7:53:25 time: 1.8469 data_time: 0.1126 memory: 22140 grad_norm: 3.4832 loss: 2.0109 semantic_segmentation_loss_cls: 0.0559 caption_loss_cls: 4.1825 instance_segmentation_loss_cls: 0.1606 instance_segmentation_loss_reg: 0.3799 instance_segmentation_loss_poly: 1.3251 detection_loss_cls: 0.2795 detection_loss_reg: 0.7663 grounding_loss_reg: 5.8973 +2023/10/03 07:59:57 - mmengine - INFO - Saving checkpoint at 11000 iterations +2023/10/03 08:16:42 - mmengine - INFO - Iter(train) [ 11500/320000] base_lr: 1.9937e-04 lr: 7.9752e-05 eta: 6 days, 10:34:15 time: 1.8385 data_time: 0.1115 memory: 22140 grad_norm: 3.4278 loss: 1.9818 semantic_segmentation_loss_cls: 0.0545 caption_loss_cls: 4.1540 instance_segmentation_loss_cls: 0.1579 instance_segmentation_loss_reg: 0.3756 instance_segmentation_loss_poly: 1.3114 detection_loss_cls: 0.2757 detection_loss_reg: 0.7636 grounding_loss_reg: 5.8731 +2023/10/03 08:16:42 - mmengine - INFO - Saving checkpoint at 11500 iterations +2023/10/03 08:33:30 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 08:33:30 - mmengine - INFO - Iter(train) [ 12000/320000] base_lr: 1.9931e-04 lr: 7.9730e-05 eta: 6 days, 12:35:20 time: 1.8303 data_time: 0.1109 memory: 22140 grad_norm: 3.4111 loss: 1.9792 semantic_segmentation_loss_cls: 0.0533 caption_loss_cls: 4.1267 instance_segmentation_loss_cls: 0.1574 instance_segmentation_loss_reg: 0.3777 instance_segmentation_loss_poly: 1.3116 detection_loss_cls: 0.2729 detection_loss_reg: 0.7627 grounding_loss_reg: 5.8576 +2023/10/03 08:33:30 - mmengine - INFO - Saving checkpoint at 12000 iterations +2023/10/03 08:50:44 - mmengine - INFO - Iter(train) [ 12500/320000] base_lr: 1.9926e-04 lr: 7.9707e-05 eta: 6 days, 14:35:31 time: 1.9234 data_time: 0.1238 memory: 22140 grad_norm: 1.7524 loss: 1.9295 semantic_segmentation_loss_cls: 0.0522 caption_loss_cls: 4.1022 instance_segmentation_loss_cls: 0.1562 instance_segmentation_loss_reg: 0.3774 instance_segmentation_loss_poly: 1.3065 detection_loss_cls: 0.2695 detection_loss_reg: 0.7606 grounding_loss_reg: 5.8363 +2023/10/03 08:50:44 - mmengine - INFO - Saving checkpoint at 12500 iterations +2023/10/03 09:08:12 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 09:08:12 - mmengine - INFO - Iter(train) [ 13000/320000] base_lr: 1.9919e-04 lr: 7.9683e-05 eta: 6 days, 16:22:29 time: 1.9762 data_time: 0.1235 memory: 22140 grad_norm: 1.1460 loss: 1.8978 semantic_segmentation_loss_cls: 0.0510 caption_loss_cls: 4.0758 instance_segmentation_loss_cls: 0.1540 instance_segmentation_loss_reg: 0.3745 instance_segmentation_loss_poly: 1.2949 detection_loss_cls: 0.2669 detection_loss_reg: 0.7582 grounding_loss_reg: 5.8060 +2023/10/03 09:08:12 - mmengine - INFO - Saving checkpoint at 13000 iterations +2023/10/03 09:25:28 - mmengine - INFO - Iter(train) [ 13500/320000] base_lr: 1.9913e-04 lr: 7.9658e-05 eta: 6 days, 17:36:03 time: 2.0111 data_time: 0.1240 memory: 22140 grad_norm: 1.1434 loss: 1.9014 semantic_segmentation_loss_cls: 0.0501 caption_loss_cls: 3.9253 instance_segmentation_loss_cls: 0.1521 instance_segmentation_loss_reg: 0.3731 instance_segmentation_loss_poly: 1.2868 detection_loss_cls: 0.2370 detection_loss_reg: 0.7487 grounding_loss_reg: 5.7836 +2023/10/03 09:25:28 - mmengine - INFO - Saving checkpoint at 13500 iterations +2023/10/03 09:42:58 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 09:42:58 - mmengine - INFO - Iter(train) [ 14000/320000] base_lr: 1.9907e-04 lr: 7.9632e-05 eta: 6 days, 18:46:05 time: 2.0312 data_time: 0.1234 memory: 22140 grad_norm: 1.1305 loss: 1.8957 semantic_segmentation_loss_cls: 0.0492 caption_loss_cls: 3.8247 instance_segmentation_loss_cls: 0.1498 instance_segmentation_loss_reg: 0.3699 instance_segmentation_loss_poly: 1.2753 detection_loss_cls: 0.2243 detection_loss_reg: 0.7389 grounding_loss_reg: 5.7694 +2023/10/03 09:42:58 - mmengine - INFO - Saving checkpoint at 14000 iterations +2023/10/03 10:00:32 - mmengine - INFO - Iter(train) [ 14500/320000] base_lr: 1.9900e-04 lr: 7.9606e-05 eta: 6 days, 19:45:43 time: 2.0660 data_time: 0.1236 memory: 22140 grad_norm: 1.1195 loss: 1.8832 semantic_segmentation_loss_cls: 0.0483 caption_loss_cls: 3.7737 instance_segmentation_loss_cls: 0.1476 instance_segmentation_loss_reg: 0.3670 instance_segmentation_loss_poly: 1.2647 detection_loss_cls: 0.2184 detection_loss_reg: 0.7314 grounding_loss_reg: 5.7538 +2023/10/03 10:00:32 - mmengine - INFO - Saving checkpoint at 14500 iterations +2023/10/03 10:16:39 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 10:16:39 - mmengine - INFO - Iter(train) [ 15000/320000] base_lr: 1.9893e-04 lr: 7.9578e-05 eta: 6 days, 19:31:11 time: 2.0504 data_time: 0.1235 memory: 22140 grad_norm: 1.1255 loss: 1.8877 semantic_segmentation_loss_cls: 0.0474 caption_loss_cls: 3.7310 instance_segmentation_loss_cls: 0.1462 instance_segmentation_loss_reg: 0.3656 instance_segmentation_loss_poly: 1.2580 detection_loss_cls: 0.2147 detection_loss_reg: 0.7284 grounding_loss_reg: 5.7382 +2023/10/03 10:16:39 - mmengine - INFO - Saving checkpoint at 15000 iterations +2023/10/03 10:33:02 - mmengine - INFO - Iter(train) [ 15500/320000] base_lr: 1.9886e-04 lr: 7.9549e-05 eta: 6 days, 19:26:58 time: 2.0450 data_time: 0.1233 memory: 22140 grad_norm: 1.1242 loss: 1.8819 semantic_segmentation_loss_cls: 0.0467 caption_loss_cls: 3.6969 instance_segmentation_loss_cls: 0.1451 instance_segmentation_loss_reg: 0.3653 instance_segmentation_loss_poly: 1.2540 detection_loss_cls: 0.2112 detection_loss_reg: 0.7225 grounding_loss_reg: 5.7129 +2023/10/03 10:33:02 - mmengine - INFO - Saving checkpoint at 15500 iterations +2023/10/03 10:49:50 - mmengine - INFO - Exp name: univision_joint_all_20231003_060602 +2023/10/03 10:49:50 - mmengine - INFO - Iter(train) [ 16000/320000] base_lr: 1.9878e-04 lr: 7.9520e-05 eta: 6 days, 19:37:12 time: 2.0449 data_time: 0.1228 memory: 22140 grad_norm: 1.1178 loss: 1.8692 semantic_segmentation_loss_cls: 0.0459 caption_loss_cls: 3.6708 instance_segmentation_loss_cls: 0.1447 instance_segmentation_loss_reg: 0.3658 instance_segmentation_loss_poly: 1.2523 detection_loss_cls: 0.2084 detection_loss_reg: 0.7193 grounding_loss_reg: 5.6838 +2023/10/03 10:49:50 - mmengine - INFO - Saving checkpoint at 16000 iterations +2023/10/03 11:44:44 - mmengine - INFO - Iter(train) [ 16500/320000] base_lr: 1.9870e-04 lr: 7.9489e-05 eta: 4 days, 21:20:27 time: 1.9604 data_time: 0.1095 memory: 22140 grad_norm: 1.1076 loss: 1.8537 semantic_segmentation_loss_cls: 0.0453 caption_loss_cls: 3.6450 instance_segmentation_loss_cls: 0.1438 instance_segmentation_loss_reg: 0.3650 instance_segmentation_loss_poly: 1.2471 detection_loss_cls: 0.2049 detection_loss_reg: 0.7141 grounding_loss_reg: 5.6682 +2023/10/03 11:44:44 - mmengine - INFO - Saving checkpoint at 16500 iterations +2023/10/03 11:58:07 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 11:58:07 - mmengine - INFO - Iter(train) [ 17000/320000] base_lr: 1.9862e-04 lr: 7.9458e-05 eta: 5 days, 6:07:35 time: 1.8991 data_time: 0.1096 memory: 22140 grad_norm: 1.1146 loss: 1.8730 semantic_segmentation_loss_cls: 0.0447 caption_loss_cls: 3.6225 instance_segmentation_loss_cls: 0.1423 instance_segmentation_loss_reg: 0.3628 instance_segmentation_loss_poly: 1.2404 detection_loss_cls: 0.2024 detection_loss_reg: 0.7113 grounding_loss_reg: 5.6370 +2023/10/03 11:58:07 - mmengine - INFO - Saving checkpoint at 17000 iterations +2023/10/03 12:13:42 - mmengine - INFO - Iter(train) [ 17500/320000] base_lr: 1.9854e-04 lr: 7.9426e-05 eta: 5 days, 16:21:31 time: 1.8739 data_time: 0.1094 memory: 22140 grad_norm: 1.1025 loss: 1.8548 semantic_segmentation_loss_cls: 0.0441 caption_loss_cls: 3.6131 instance_segmentation_loss_cls: 0.1404 instance_segmentation_loss_reg: 0.3606 instance_segmentation_loss_poly: 1.2332 detection_loss_cls: 0.1999 detection_loss_reg: 0.7090 grounding_loss_reg: 5.6153 +2023/10/03 12:13:42 - mmengine - INFO - Saving checkpoint at 17500 iterations +2023/10/03 12:30:33 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 12:30:33 - mmengine - INFO - Iter(train) [ 18000/320000] base_lr: 1.9846e-04 lr: 7.9393e-05 eta: 6 days, 0:28:23 time: 1.8639 data_time: 0.1102 memory: 22140 grad_norm: 1.1043 loss: 1.8527 semantic_segmentation_loss_cls: 0.0439 caption_loss_cls: 3.5931 instance_segmentation_loss_cls: 0.1402 instance_segmentation_loss_reg: 0.3618 instance_segmentation_loss_poly: 1.2311 detection_loss_cls: 0.1975 detection_loss_reg: 0.7069 grounding_loss_reg: 5.5916 +2023/10/03 12:30:33 - mmengine - INFO - Saving checkpoint at 18000 iterations +2023/10/03 12:46:44 - mmengine - INFO - Iter(train) [ 18500/320000] base_lr: 1.9837e-04 lr: 7.9359e-05 eta: 6 days, 3:55:11 time: 1.8432 data_time: 0.1102 memory: 22140 grad_norm: 1.1053 loss: 1.8535 semantic_segmentation_loss_cls: 0.0434 caption_loss_cls: 3.5733 instance_segmentation_loss_cls: 0.1395 instance_segmentation_loss_reg: 0.3609 instance_segmentation_loss_poly: 1.2264 detection_loss_cls: 0.1953 detection_loss_reg: 0.7050 grounding_loss_reg: 5.5836 +2023/10/03 12:46:44 - mmengine - INFO - Saving checkpoint at 18500 iterations +2023/10/03 13:04:05 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 13:04:05 - mmengine - INFO - Iter(train) [ 19000/320000] base_lr: 1.9828e-04 lr: 7.9324e-05 eta: 6 days, 8:04:27 time: 1.8617 data_time: 0.1109 memory: 22140 grad_norm: 1.0911 loss: 1.8378 semantic_segmentation_loss_cls: 0.0430 caption_loss_cls: 3.5500 instance_segmentation_loss_cls: 0.1385 instance_segmentation_loss_reg: 0.3602 instance_segmentation_loss_poly: 1.2221 detection_loss_cls: 0.1927 detection_loss_reg: 0.7009 grounding_loss_reg: 5.5689 +2023/10/03 13:04:05 - mmengine - INFO - Saving checkpoint at 19000 iterations +2023/10/03 13:21:07 - mmengine - INFO - Iter(train) [ 19500/320000] base_lr: 1.9819e-04 lr: 7.9288e-05 eta: 6 days, 10:31:11 time: 1.8717 data_time: 0.1113 memory: 22140 grad_norm: 1.0856 loss: 1.8293 semantic_segmentation_loss_cls: 0.0425 caption_loss_cls: 3.4893 instance_segmentation_loss_cls: 0.1375 instance_segmentation_loss_reg: 0.3593 instance_segmentation_loss_poly: 1.2182 detection_loss_cls: 0.1913 detection_loss_reg: 0.7002 grounding_loss_reg: 5.5534 +2023/10/03 13:21:07 - mmengine - INFO - Saving checkpoint at 19500 iterations +2023/10/03 13:37:50 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 13:37:50 - mmengine - INFO - Iter(train) [ 20000/320000] base_lr: 1.9810e-04 lr: 7.9251e-05 eta: 6 days, 11:52:36 time: 1.8705 data_time: 0.1119 memory: 22140 grad_norm: 1.0767 loss: 1.8128 semantic_segmentation_loss_cls: 0.0420 caption_loss_cls: 3.4729 instance_segmentation_loss_cls: 0.1366 instance_segmentation_loss_reg: 0.3588 instance_segmentation_loss_poly: 1.2158 detection_loss_cls: 0.1897 detection_loss_reg: 0.6973 grounding_loss_reg: 5.5390 +2023/10/03 13:37:50 - mmengine - INFO - Saving checkpoint at 20000 iterations +2023/10/03 13:42:25 - mmengine - INFO - Evaluating bbox... +2023/10/03 13:43:22 - mmengine - INFO - bbox_mAP_copypaste: 0.003 0.006 0.002 0.002 0.003 0.003 +2023/10/03 13:43:22 - mmengine - INFO - Evaluating segm... +2023/10/03 13:44:29 - mmengine - INFO - segm_mAP_copypaste: 0.000 0.001 0.000 0.000 0.000 0.001 +2023/10/03 13:45:44 - mmengine - INFO - Evaluating bbox... +2023/10/03 13:46:37 - mmengine - INFO - bbox_mAP_copypaste: 0.003 0.006 0.002 0.003 0.004 0.003 +2023/10/03 13:48:52 - mmengine - INFO - per class results: +2023/10/03 13:48:52 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 47.45 | 92.73 | +| building | 70.15 | 81.75 | +| sky | 90.81 | 94.65 | +| floor | 63.79 | 82.83 | +| tree | 60.05 | 91.34 | +| ceiling | 68.63 | 82.2 | +| road | 57.57 | 63.44 | +| bed | 60.13 | 78.01 | +| windowpane | 37.01 | 49.41 | +| grass | 60.45 | 82.1 | +| cabinet | 10.08 | 10.53 | +| sidewalk | 38.05 | 76.69 | +| person | 67.0 | 83.4 | +| earth | 21.34 | 24.2 | +| door | 0.01 | 0.01 | +| table | 16.02 | 20.37 | +| mountain | 36.8 | 41.62 | +| plant | 27.04 | 30.03 | +| curtain | 25.52 | 27.31 | +| chair | 25.58 | 39.46 | +| car | 69.63 | 88.16 | +| water | 42.03 | 58.82 | +| painting | 17.93 | 18.58 | +| sofa | 29.06 | 75.32 | +| shelf | 1.1 | 1.13 | +| house | 15.51 | 18.44 | +| sea | 34.26 | 54.17 | +| mirror | 0.05 | 0.05 | +| rug | 9.15 | 9.42 | +| field | 14.59 | 16.72 | +| armchair | 0.64 | 0.68 | +| seat | 8.35 | 8.7 | +| fence | 12.53 | 15.86 | +| desk | 5.19 | 6.68 | +| rock | 29.75 | 63.5 | +| wardrobe | 0.0 | 0.0 | +| lamp | 20.52 | 24.02 | +| bathtub | 0.0 | 0.0 | +| railing | 8.8 | 10.16 | +| cushion | 5.1 | 5.33 | +| base | 0.0 | 0.0 | +| box | 0.0 | 0.0 | +| column | 10.02 | 10.88 | +| signboard | 1.17 | 1.17 | +| chest of drawers | 0.98 | 0.99 | +| counter | 2.25 | 3.57 | +| sand | 24.65 | 47.27 | +| sink | 24.93 | 30.3 | +| skyscraper | 18.92 | 20.47 | +| fireplace | 0.03 | 0.03 | +| refrigerator | 0.0 | 0.0 | +| grandstand | 6.78 | 11.26 | +| path | 2.43 | 2.58 | +| stairs | 10.06 | 12.2 | +| runway | 0.38 | 0.38 | +| case | 0.01 | 0.01 | +| pool table | 10.27 | 13.68 | +| pillow | 0.0 | 0.0 | +| screen door | 0.0 | 0.0 | +| stairway | 1.4 | 1.47 | +| river | 0.0 | 0.0 | +| bridge | 10.11 | 10.76 | +| bookcase | 0.23 | 0.23 | +| blind | 0.0 | 0.0 | +| coffee table | 0.0 | 0.0 | +| toilet | 33.53 | 37.2 | +| flower | 16.12 | 28.06 | +| book | 15.52 | 17.98 | +| hill | 7.8 | 19.03 | +| bench | 2.91 | 3.44 | +| countertop | 0.0 | 0.0 | +| stove | 0.84 | 0.85 | +| palm | 15.81 | 17.99 | +| kitchen island | 0.0 | 0.0 | +| computer | 2.5 | 2.51 | +| swivel chair | 0.01 | 0.01 | +| boat | 32.75 | 36.0 | +| bar | 0.06 | 0.06 | +| arcade machine | 0.0 | 0.0 | +| hovel | 0.0 | 0.0 | +| bus | 62.86 | 71.14 | +| towel | 4.0 | 4.03 | +| light | 2.97 | 3.4 | +| truck | 7.28 | 8.46 | +| tower | 24.39 | 29.17 | +| chandelier | 0.0 | 0.0 | +| awning | 0.0 | 0.0 | +| streetlight | 0.0 | 0.0 | +| booth | 0.0 | 0.0 | +| television receiver | 7.24 | 8.37 | +| airplane | 49.2 | 54.63 | +| dirt track | 0.0 | 0.0 | +| apparel | 0.0 | 0.0 | +| pole | 9.68 | 18.28 | +| land | 0.0 | 0.0 | +| bannister | 0.0 | 0.0 | +| escalator | 0.0 | 0.0 | +| ottoman | 0.0 | 0.0 | +| bottle | 4.14 | 4.22 | +| buffet | 0.0 | 0.0 | +| poster | 0.0 | 0.0 | +| stage | 0.0 | 0.0 | +| van | 0.0 | 0.0 | +| ship | 3.16 | 4.45 | +| fountain | 1.52 | 1.52 | +| conveyer belt | 0.0 | 0.0 | +| canopy | 0.0 | 0.0 | +| washer | 0.0 | 0.0 | +| plaything | 0.49 | 0.5 | +| swimming pool | 0.0 | 0.0 | +| stool | 0.0 | 0.0 | +| barrel | 0.0 | 0.0 | +| basket | 0.09 | 0.09 | +| waterfall | 22.37 | 23.99 | +| tent | 79.74 | 89.42 | +| bag | 0.47 | 0.47 | +| minibike | 9.58 | 9.7 | +| cradle | 0.1 | 0.1 | +| oven | 1.73 | 2.47 | +| ball | 0.04 | 0.05 | +| food | 35.42 | 40.32 | +| step | 0.0 | 0.0 | +| tank | 0.0 | 0.0 | +| trade name | 0.0 | 0.0 | +| microwave | 0.87 | 0.88 | +| pot | 20.23 | 25.67 | +| animal | 23.45 | 23.99 | +| bicycle | 24.47 | 70.0 | +| lake | 0.0 | 0.0 | +| dishwasher | 0.0 | 0.0 | +| screen | 0.0 | 0.0 | +| blanket | 0.0 | 0.0 | +| sculpture | 0.0 | 0.0 | +| hood | 0.0 | 0.0 | +| sconce | 0.0 | 0.0 | +| vase | 5.27 | 8.48 | +| traffic light | 10.17 | 14.03 | +| tray | 0.0 | 0.0 | +| ashcan | 0.0 | 0.0 | +| fan | 0.0 | 0.0 | +| pier | 9.05 | 12.5 | +| crt screen | 0.0 | 0.0 | +| plate | 24.66 | 43.42 | +| monitor | 0.0 | 0.0 | +| bulletin board | 0.0 | 0.0 | +| shower | 0.0 | 0.0 | +| radiator | 0.0 | 0.0 | +| glass | 0.34 | 0.35 | +| clock | 4.18 | 4.76 | +| flag | 4.57 | 4.68 | ++---------------------+-------+-------+ +2023/10/03 13:49:02 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.0030 coco/bbox_mAP_50: 0.0060 coco/bbox_mAP_75: 0.0020 coco/bbox_mAP_s: 0.0030 coco/bbox_mAP_m: 0.0040 coco/bbox_mAP_l: 0.0030 coco/segm_mAP: 0.0000 coco/segm_mAP_50: 0.0010 coco/segm_mAP_75: 0.0000 coco/segm_mAP_s: 0.0000 coco/segm_mAP_m: 0.0000 coco/segm_mAP_l: 0.0010 Bleu_1: 0.5700 Bleu_2: 0.3770 Bleu_3: 0.2503 Bleu_4: 0.1669 METEOR: 0.1694 ROUGE_L: 0.4178 CIDEr: 0.4535 SPICE: 0.1074 aAcc: 64.8600 mIoU: 12.7600 mAcc: 16.9400 visual-grounding/miou: 0.2770 visual-grounding/acc: 0.1562 data_time: 0.0458 time: 0.5556 +2023/10/03 14:04:57 - mmengine - INFO - Iter(train) [ 20500/320000] base_lr: 1.9800e-04 lr: 7.9213e-05 eta: 6 days, 12:02:15 time: 1.9360 data_time: 0.1129 memory: 22141 grad_norm: 1.0790 loss: 1.8088 semantic_segmentation_loss_cls: 0.0416 caption_loss_cls: 3.4545 instance_segmentation_loss_cls: 0.1298 instance_segmentation_loss_reg: 0.3555 instance_segmentation_loss_poly: 1.2001 detection_loss_cls: 0.1875 detection_loss_reg: 0.6927 grounding_loss_reg: 5.5233 +2023/10/03 14:04:57 - mmengine - INFO - Saving checkpoint at 20500 iterations +2023/10/03 14:21:26 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 14:21:26 - mmengine - INFO - Iter(train) [ 21000/320000] base_lr: 1.9790e-04 lr: 7.9174e-05 eta: 6 days, 12:38:17 time: 1.9828 data_time: 0.1140 memory: 22141 grad_norm: 1.0625 loss: 1.7822 semantic_segmentation_loss_cls: 0.0411 caption_loss_cls: 3.4434 instance_segmentation_loss_cls: 0.1241 instance_segmentation_loss_reg: 0.3502 instance_segmentation_loss_poly: 1.1685 detection_loss_cls: 0.1859 detection_loss_reg: 0.6875 grounding_loss_reg: 5.5024 +2023/10/03 14:21:26 - mmengine - INFO - Saving checkpoint at 21000 iterations +2023/10/03 14:37:47 - mmengine - INFO - Iter(train) [ 21500/320000] base_lr: 1.9780e-04 lr: 7.9135e-05 eta: 6 days, 12:56:19 time: 1.9940 data_time: 0.1139 memory: 22141 grad_norm: 1.0721 loss: 1.7805 semantic_segmentation_loss_cls: 0.0407 caption_loss_cls: 3.3882 instance_segmentation_loss_cls: 0.1210 instance_segmentation_loss_reg: 0.3482 instance_segmentation_loss_poly: 1.1545 detection_loss_cls: 0.1845 detection_loss_reg: 0.6857 grounding_loss_reg: 5.4855 +2023/10/03 14:37:47 - mmengine - INFO - Saving checkpoint at 21500 iterations +2023/10/03 14:54:18 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 14:54:18 - mmengine - INFO - Iter(train) [ 22000/320000] base_lr: 1.9770e-04 lr: 7.9094e-05 eta: 6 days, 13:17:53 time: 1.9893 data_time: 0.1140 memory: 22141 grad_norm: 1.0737 loss: 1.7730 semantic_segmentation_loss_cls: 0.0403 caption_loss_cls: 3.3724 instance_segmentation_loss_cls: 0.1184 instance_segmentation_loss_reg: 0.3452 instance_segmentation_loss_poly: 1.1427 detection_loss_cls: 0.1826 detection_loss_reg: 0.6830 grounding_loss_reg: 5.4736 +2023/10/03 14:54:18 - mmengine - INFO - Saving checkpoint at 22000 iterations +2023/10/03 15:11:20 - mmengine - INFO - Iter(train) [ 22500/320000] base_lr: 1.9759e-04 lr: 7.9052e-05 eta: 6 days, 13:56:42 time: 2.0019 data_time: 0.1147 memory: 22141 grad_norm: 1.0737 loss: 1.7678 semantic_segmentation_loss_cls: 0.0399 caption_loss_cls: 3.3622 instance_segmentation_loss_cls: 0.1161 instance_segmentation_loss_reg: 0.3429 instance_segmentation_loss_poly: 1.1314 detection_loss_cls: 0.1818 detection_loss_reg: 0.6824 grounding_loss_reg: 5.4643 +2023/10/03 15:11:20 - mmengine - INFO - Saving checkpoint at 22500 iterations +2023/10/03 15:26:07 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 15:26:07 - mmengine - INFO - Iter(train) [ 23000/320000] base_lr: 1.9749e-04 lr: 7.9010e-05 eta: 6 days, 12:52:12 time: 1.9634 data_time: 0.1144 memory: 22141 grad_norm: 1.0840 loss: 1.7701 semantic_segmentation_loss_cls: 0.0395 caption_loss_cls: 3.3506 instance_segmentation_loss_cls: 0.1150 instance_segmentation_loss_reg: 0.3421 instance_segmentation_loss_poly: 1.1257 detection_loss_cls: 0.1815 detection_loss_reg: 0.6827 grounding_loss_reg: 5.4503 +2023/10/03 15:26:07 - mmengine - INFO - Saving checkpoint at 23000 iterations +2023/10/03 15:42:16 - mmengine - INFO - Iter(train) [ 23500/320000] base_lr: 1.9738e-04 lr: 7.8967e-05 eta: 6 days, 12:48:37 time: 1.9501 data_time: 0.1150 memory: 22141 grad_norm: 1.0886 loss: 1.7673 semantic_segmentation_loss_cls: 0.0391 caption_loss_cls: 3.3393 instance_segmentation_loss_cls: 0.1136 instance_segmentation_loss_reg: 0.3393 instance_segmentation_loss_poly: 1.1142 detection_loss_cls: 0.1802 detection_loss_reg: 0.6807 grounding_loss_reg: 5.4409 +2023/10/03 15:42:16 - mmengine - INFO - Saving checkpoint at 23500 iterations +2023/10/03 15:58:32 - mmengine - INFO - Exp name: univision_joint_all_20231003_110746 +2023/10/03 15:58:32 - mmengine - INFO - Iter(train) [ 24000/320000] base_lr: 1.9726e-04 lr: 7.8923e-05 eta: 6 days, 12:47:18 time: 1.9433 data_time: 0.1146 memory: 22141 grad_norm: 1.1000 loss: 1.7725 semantic_segmentation_loss_cls: 0.0387 caption_loss_cls: 3.3288 instance_segmentation_loss_cls: 0.1126 instance_segmentation_loss_reg: 0.3379 instance_segmentation_loss_poly: 1.1078 detection_loss_cls: 0.1787 detection_loss_reg: 0.6770 grounding_loss_reg: 5.4265 +2023/10/03 15:58:32 - mmengine - INFO - Saving checkpoint at 24000 iterations +2023/10/03 18:34:43 - mmengine - INFO - Iter(train) [ 24500/320000] base_lr: 1.9715e-04 lr: 7.8877e-05 eta: 4 days, 18:41:29 time: 1.8784 data_time: 0.1136 memory: 22140 grad_norm: 1.0994 loss: 1.7633 semantic_segmentation_loss_cls: 0.0384 caption_loss_cls: 3.3154 instance_segmentation_loss_cls: 0.1116 instance_segmentation_loss_reg: 0.3369 instance_segmentation_loss_poly: 1.1042 detection_loss_cls: 0.1784 detection_loss_reg: 0.6772 grounding_loss_reg: 5.4153 +2023/10/03 18:34:43 - mmengine - INFO - Saving checkpoint at 24500 iterations +2023/10/03 18:48:57 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 18:48:57 - mmengine - INFO - Iter(train) [ 25000/320000] base_lr: 1.9703e-04 lr: 7.8831e-05 eta: 5 days, 7:14:27 time: 1.8445 data_time: 0.1127 memory: 22140 grad_norm: 1.1391 loss: 1.7876 semantic_segmentation_loss_cls: 0.0381 caption_loss_cls: 3.3044 instance_segmentation_loss_cls: 0.1101 instance_segmentation_loss_reg: 0.3352 instance_segmentation_loss_poly: 1.0959 detection_loss_cls: 0.1776 detection_loss_reg: 0.6760 grounding_loss_reg: 5.4018 +2023/10/03 18:48:57 - mmengine - INFO - Saving checkpoint at 25000 iterations +2023/10/03 19:04:43 - mmengine - INFO - Iter(train) [ 25500/320000] base_lr: 1.9691e-04 lr: 7.8784e-05 eta: 5 days, 16:14:07 time: 1.8358 data_time: 0.1126 memory: 22140 grad_norm: 1.1327 loss: 1.7738 semantic_segmentation_loss_cls: 0.0378 caption_loss_cls: 3.2947 instance_segmentation_loss_cls: 0.1086 instance_segmentation_loss_reg: 0.3330 instance_segmentation_loss_poly: 1.0871 detection_loss_cls: 0.1761 detection_loss_reg: 0.6731 grounding_loss_reg: 5.3882 +2023/10/03 19:04:43 - mmengine - INFO - Saving checkpoint at 25500 iterations +2023/10/03 19:21:55 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 19:21:55 - mmengine - INFO - Iter(train) [ 26000/320000] base_lr: 1.9679e-04 lr: 7.8736e-05 eta: 6 days, 0:08:10 time: 1.8459 data_time: 0.1129 memory: 22140 grad_norm: 1.6639 loss: 1.7661 semantic_segmentation_loss_cls: 0.0375 caption_loss_cls: 3.2917 instance_segmentation_loss_cls: 0.1084 instance_segmentation_loss_reg: 0.3333 instance_segmentation_loss_poly: 1.0833 detection_loss_cls: 0.1744 detection_loss_reg: 0.6693 grounding_loss_reg: 5.3775 +2023/10/03 19:21:55 - mmengine - INFO - Saving checkpoint at 26000 iterations +2023/10/03 19:37:45 - mmengine - INFO - Iter(train) [ 26500/320000] base_lr: 1.9667e-04 lr: 7.8688e-05 eta: 6 days, 2:05:45 time: 1.8280 data_time: 0.1128 memory: 22140 grad_norm: 1.6497 loss: 1.7696 semantic_segmentation_loss_cls: 0.0372 caption_loss_cls: 3.2835 instance_segmentation_loss_cls: 0.1081 instance_segmentation_loss_reg: 0.3336 instance_segmentation_loss_poly: 1.0840 detection_loss_cls: 0.1729 detection_loss_reg: 0.6681 grounding_loss_reg: 5.3741 +2023/10/03 19:37:45 - mmengine - INFO - Saving checkpoint at 26500 iterations +2023/10/03 19:54:17 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 19:54:17 - mmengine - INFO - Iter(train) [ 27000/320000] base_lr: 1.9654e-04 lr: 7.8638e-05 eta: 6 days, 4:27:02 time: 1.8542 data_time: 0.1131 memory: 22140 grad_norm: 1.6588 loss: 1.7627 semantic_segmentation_loss_cls: 0.0370 caption_loss_cls: 3.2814 instance_segmentation_loss_cls: 0.1076 instance_segmentation_loss_reg: 0.3331 instance_segmentation_loss_poly: 1.0818 detection_loss_cls: 0.1715 detection_loss_reg: 0.6643 grounding_loss_reg: 5.3652 +2023/10/03 19:54:17 - mmengine - INFO - Saving checkpoint at 27000 iterations +2023/10/03 20:10:02 - mmengine - INFO - Iter(train) [ 27500/320000] base_lr: 1.9641e-04 lr: 7.8587e-05 eta: 6 days, 4:58:43 time: 1.8483 data_time: 0.1123 memory: 22140 grad_norm: 1.6474 loss: 1.7546 semantic_segmentation_loss_cls: 0.0367 caption_loss_cls: 3.2739 instance_segmentation_loss_cls: 0.1067 instance_segmentation_loss_reg: 0.3314 instance_segmentation_loss_poly: 1.0750 detection_loss_cls: 0.1708 detection_loss_reg: 0.6638 grounding_loss_reg: 5.3456 +2023/10/03 20:10:02 - mmengine - INFO - Saving checkpoint at 27500 iterations +2023/10/03 20:26:26 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 20:26:26 - mmengine - INFO - Iter(train) [ 28000/320000] base_lr: 1.9628e-04 lr: 7.8536e-05 eta: 6 days, 6:04:31 time: 1.8502 data_time: 0.1121 memory: 22140 grad_norm: 1.6277 loss: 1.7405 semantic_segmentation_loss_cls: 0.0312 caption_loss_cls: 3.2629 instance_segmentation_loss_cls: 0.1054 instance_segmentation_loss_reg: 0.3301 instance_segmentation_loss_poly: 1.0698 detection_loss_cls: 0.1700 detection_loss_reg: 0.6630 grounding_loss_reg: 5.3329 +2023/10/03 20:26:26 - mmengine - INFO - Saving checkpoint at 28000 iterations +2023/10/03 20:44:03 - mmengine - INFO - Iter(train) [ 28500/320000] base_lr: 1.9615e-04 lr: 7.8483e-05 eta: 6 days, 8:11:25 time: 1.9398 data_time: 0.1256 memory: 22140 grad_norm: 1.6210 loss: 1.7461 semantic_segmentation_loss_cls: 0.0293 caption_loss_cls: 3.2614 instance_segmentation_loss_cls: 0.1048 instance_segmentation_loss_reg: 0.3293 instance_segmentation_loss_poly: 1.0654 detection_loss_cls: 0.1687 detection_loss_reg: 0.6604 grounding_loss_reg: 5.3251 +2023/10/03 20:44:03 - mmengine - INFO - Saving checkpoint at 28500 iterations +2023/10/03 21:01:21 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 21:01:21 - mmengine - INFO - Iter(train) [ 29000/320000] base_lr: 1.9601e-04 lr: 7.8430e-05 eta: 6 days, 9:30:49 time: 1.9857 data_time: 0.1256 memory: 22140 grad_norm: 1.5829 loss: 1.7169 semantic_segmentation_loss_cls: 0.0281 caption_loss_cls: 3.2578 instance_segmentation_loss_cls: 0.1030 instance_segmentation_loss_reg: 0.3256 instance_segmentation_loss_poly: 1.0561 detection_loss_cls: 0.1686 detection_loss_reg: 0.6585 grounding_loss_reg: 5.3126 +2023/10/03 21:01:21 - mmengine - INFO - Saving checkpoint at 29000 iterations +2023/10/03 21:18:25 - mmengine - INFO - Iter(train) [ 29500/320000] base_lr: 1.9588e-04 lr: 7.8376e-05 eta: 6 days, 10:20:43 time: 2.0055 data_time: 0.1261 memory: 22140 grad_norm: 1.5786 loss: 1.7366 semantic_segmentation_loss_cls: 0.0274 caption_loss_cls: 3.2631 instance_segmentation_loss_cls: 0.1025 instance_segmentation_loss_reg: 0.3253 instance_segmentation_loss_poly: 1.0542 detection_loss_cls: 0.1684 detection_loss_reg: 0.6590 grounding_loss_reg: 5.3039 +2023/10/03 21:18:25 - mmengine - INFO - Saving checkpoint at 29500 iterations +2023/10/03 21:36:02 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 21:36:02 - mmengine - INFO - Iter(train) [ 30000/320000] base_lr: 1.9574e-04 lr: 7.8321e-05 eta: 6 days, 11:25:51 time: 2.0118 data_time: 0.1257 memory: 22140 grad_norm: 1.0403 loss: 1.7414 semantic_segmentation_loss_cls: 0.0268 caption_loss_cls: 3.2552 instance_segmentation_loss_cls: 0.1008 instance_segmentation_loss_reg: 0.3219 instance_segmentation_loss_poly: 1.0450 detection_loss_cls: 0.1676 detection_loss_reg: 0.6574 grounding_loss_reg: 5.2944 +2023/10/03 21:36:02 - mmengine - INFO - Saving checkpoint at 30000 iterations +2023/10/03 21:53:53 - mmengine - INFO - Iter(train) [ 30500/320000] base_lr: 1.9560e-04 lr: 7.8265e-05 eta: 6 days, 12:28:18 time: 2.0419 data_time: 0.1254 memory: 22140 grad_norm: 1.0609 loss: 1.7328 semantic_segmentation_loss_cls: 0.0262 caption_loss_cls: 3.2459 instance_segmentation_loss_cls: 0.1001 instance_segmentation_loss_reg: 0.3211 instance_segmentation_loss_poly: 1.0419 detection_loss_cls: 0.1672 detection_loss_reg: 0.6560 grounding_loss_reg: 5.2845 +2023/10/03 21:53:53 - mmengine - INFO - Saving checkpoint at 30500 iterations +2023/10/03 22:10:02 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 22:10:02 - mmengine - INFO - Iter(train) [ 31000/320000] base_lr: 1.9545e-04 lr: 7.8208e-05 eta: 6 days, 12:09:28 time: 2.0362 data_time: 0.1250 memory: 22140 grad_norm: 1.0506 loss: 1.7304 semantic_segmentation_loss_cls: 0.0257 caption_loss_cls: 3.2334 instance_segmentation_loss_cls: 0.0995 instance_segmentation_loss_reg: 0.3203 instance_segmentation_loss_poly: 1.0390 detection_loss_cls: 0.1667 detection_loss_reg: 0.6537 grounding_loss_reg: 5.2736 +2023/10/03 22:10:02 - mmengine - INFO - Saving checkpoint at 31000 iterations +2023/10/03 22:27:02 - mmengine - INFO - Iter(train) [ 31500/320000] base_lr: 1.9530e-04 lr: 7.8150e-05 eta: 6 days, 12:23:45 time: 2.0548 data_time: 0.1252 memory: 22140 grad_norm: 1.0447 loss: 1.7369 semantic_segmentation_loss_cls: 0.0253 caption_loss_cls: 3.2254 instance_segmentation_loss_cls: 0.0994 instance_segmentation_loss_reg: 0.3213 instance_segmentation_loss_poly: 1.0406 detection_loss_cls: 0.1660 detection_loss_reg: 0.6522 grounding_loss_reg: 5.2625 +2023/10/03 22:27:02 - mmengine - INFO - Saving checkpoint at 31500 iterations +2023/10/03 22:44:30 - mmengine - INFO - Exp name: univision_joint_all_20231003_175714 +2023/10/03 22:44:30 - mmengine - INFO - Iter(train) [ 32000/320000] base_lr: 1.9515e-04 lr: 7.8091e-05 eta: 6 days, 12:50:43 time: 2.0709 data_time: 0.1254 memory: 22140 grad_norm: 1.0480 loss: 1.7471 semantic_segmentation_loss_cls: 0.0251 caption_loss_cls: 3.2195 instance_segmentation_loss_cls: 0.0994 instance_segmentation_loss_reg: 0.3218 instance_segmentation_loss_poly: 1.0391 detection_loss_cls: 0.1651 detection_loss_reg: 0.6492 grounding_loss_reg: 5.2532 +2023/10/03 22:44:30 - mmengine - INFO - Saving checkpoint at 32000 iterations +2023/10/04 02:07:47 - mmengine - INFO - Iter(train) [ 32500/320000] base_lr: 1.9500e-04 lr: 7.8032e-05 eta: 4 days, 23:09:40 time: 1.9932 data_time: 0.1117 memory: 22140 grad_norm: 1.0433 loss: 1.7346 semantic_segmentation_loss_cls: 0.0247 caption_loss_cls: 3.2170 instance_segmentation_loss_cls: 0.0977 instance_segmentation_loss_reg: 0.3176 instance_segmentation_loss_poly: 1.0295 detection_loss_cls: 0.1642 detection_loss_reg: 0.6479 grounding_loss_reg: 5.2453 +2023/10/04 02:07:47 - mmengine - INFO - Saving checkpoint at 32500 iterations +2023/10/04 02:21:42 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 02:21:42 - mmengine - INFO - Iter(train) [ 33000/320000] base_lr: 1.9485e-04 lr: 7.7971e-05 eta: 5 days, 6:06:07 time: 1.9427 data_time: 0.1118 memory: 22140 grad_norm: 1.0473 loss: 1.7474 semantic_segmentation_loss_cls: 0.0245 caption_loss_cls: 3.2072 instance_segmentation_loss_cls: 0.0966 instance_segmentation_loss_reg: 0.3162 instance_segmentation_loss_poly: 1.0259 detection_loss_cls: 0.1634 detection_loss_reg: 0.6470 grounding_loss_reg: 5.2325 +2023/10/04 02:21:42 - mmengine - INFO - Saving checkpoint at 33000 iterations +2023/10/04 02:38:23 - mmengine - INFO - Iter(train) [ 33500/320000] base_lr: 1.9469e-04 lr: 7.7910e-05 eta: 5 days, 16:58:54 time: 1.9366 data_time: 0.1119 memory: 22140 grad_norm: 1.0325 loss: 1.7230 semantic_segmentation_loss_cls: 0.0243 caption_loss_cls: 3.2031 instance_segmentation_loss_cls: 0.0958 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 1.0211 detection_loss_cls: 0.1631 detection_loss_reg: 0.6469 grounding_loss_reg: 5.2193 +2023/10/04 02:38:23 - mmengine - INFO - Saving checkpoint at 33500 iterations +2023/10/04 02:55:41 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 02:55:41 - mmengine - INFO - Iter(train) [ 34000/320000] base_lr: 1.9454e-04 lr: 7.7848e-05 eta: 5 days, 23:49:07 time: 1.9321 data_time: 0.1119 memory: 22140 grad_norm: 1.0181 loss: 1.7171 semantic_segmentation_loss_cls: 0.0241 caption_loss_cls: 3.2034 instance_segmentation_loss_cls: 0.0961 instance_segmentation_loss_reg: 0.3158 instance_segmentation_loss_poly: 1.0226 detection_loss_cls: 0.1616 detection_loss_reg: 0.6446 grounding_loss_reg: 5.2087 +2023/10/04 02:55:41 - mmengine - INFO - Saving checkpoint at 34000 iterations +2023/10/04 03:11:57 - mmengine - INFO - Iter(train) [ 34500/320000] base_lr: 1.9438e-04 lr: 7.7784e-05 eta: 6 days, 1:48:12 time: 1.9083 data_time: 0.1121 memory: 22140 grad_norm: 0.9960 loss: 1.7086 semantic_segmentation_loss_cls: 0.0239 caption_loss_cls: 3.2014 instance_segmentation_loss_cls: 0.0962 instance_segmentation_loss_reg: 0.3160 instance_segmentation_loss_poly: 1.0218 detection_loss_cls: 0.1603 detection_loss_reg: 0.6429 grounding_loss_reg: 5.2017 +2023/10/04 03:11:57 - mmengine - INFO - Saving checkpoint at 34500 iterations +2023/10/04 03:29:18 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 03:29:18 - mmengine - INFO - Iter(train) [ 35000/320000] base_lr: 1.9421e-04 lr: 7.7720e-05 eta: 6 days, 4:46:12 time: 1.9264 data_time: 0.1124 memory: 22140 grad_norm: 0.9769 loss: 1.6986 semantic_segmentation_loss_cls: 0.0237 caption_loss_cls: 3.2004 instance_segmentation_loss_cls: 0.0961 instance_segmentation_loss_reg: 0.3161 instance_segmentation_loss_poly: 1.0214 detection_loss_cls: 0.1597 detection_loss_reg: 0.6403 grounding_loss_reg: 5.1946 +2023/10/04 03:29:19 - mmengine - INFO - Saving checkpoint at 35000 iterations +2023/10/04 03:46:45 - mmengine - INFO - Iter(train) [ 35500/320000] base_lr: 1.9405e-04 lr: 7.7655e-05 eta: 6 days, 6:55:25 time: 1.9330 data_time: 0.1125 memory: 22140 grad_norm: 0.9792 loss: 1.6954 semantic_segmentation_loss_cls: 0.0236 caption_loss_cls: 3.1983 instance_segmentation_loss_cls: 0.0956 instance_segmentation_loss_reg: 0.3151 instance_segmentation_loss_poly: 1.0183 detection_loss_cls: 0.1585 detection_loss_reg: 0.6385 grounding_loss_reg: 5.1860 +2023/10/04 03:46:45 - mmengine - INFO - Saving checkpoint at 35500 iterations +2023/10/04 04:03:19 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 04:03:19 - mmengine - INFO - Iter(train) [ 36000/320000] base_lr: 1.9388e-04 lr: 7.7590e-05 eta: 6 days, 7:25:18 time: 1.9194 data_time: 0.1129 memory: 22140 grad_norm: 5.5784 loss: 1.6866 semantic_segmentation_loss_cls: 0.0236 caption_loss_cls: 3.1979 instance_segmentation_loss_cls: 0.0948 instance_segmentation_loss_reg: 0.3136 instance_segmentation_loss_poly: 1.0134 detection_loss_cls: 0.1581 detection_loss_reg: 0.6386 grounding_loss_reg: 5.1890 +2023/10/04 04:03:19 - mmengine - INFO - Saving checkpoint at 36000 iterations +2023/10/04 04:21:00 - mmengine - INFO - Iter(train) [ 36500/320000] base_lr: 1.9371e-04 lr: 7.7523e-05 eta: 6 days, 8:56:04 time: 1.9983 data_time: 0.1264 memory: 22140 grad_norm: 5.5883 loss: 1.7024 semantic_segmentation_loss_cls: 0.0235 caption_loss_cls: 3.1971 instance_segmentation_loss_cls: 0.0947 instance_segmentation_loss_reg: 0.3143 instance_segmentation_loss_poly: 1.0125 detection_loss_cls: 0.1573 detection_loss_reg: 0.6368 grounding_loss_reg: 5.1792 +2023/10/04 04:21:00 - mmengine - INFO - Saving checkpoint at 36500 iterations +2023/10/04 04:38:43 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 04:38:43 - mmengine - INFO - Iter(train) [ 37000/320000] base_lr: 1.9354e-04 lr: 7.7455e-05 eta: 6 days, 10:06:23 time: 2.0550 data_time: 0.1270 memory: 22140 grad_norm: 5.8476 loss: 1.6852 semantic_segmentation_loss_cls: 0.0234 caption_loss_cls: 3.1918 instance_segmentation_loss_cls: 0.0946 instance_segmentation_loss_reg: 0.3134 instance_segmentation_loss_poly: 1.0087 detection_loss_cls: 0.1577 detection_loss_reg: 0.6383 grounding_loss_reg: 5.1678 +2023/10/04 04:38:43 - mmengine - INFO - Saving checkpoint at 37000 iterations +2023/10/04 04:56:37 - mmengine - INFO - Iter(train) [ 37500/320000] base_lr: 1.9337e-04 lr: 7.7387e-05 eta: 6 days, 11:10:46 time: 2.0736 data_time: 0.1269 memory: 22140 grad_norm: 5.8595 loss: 1.6994 semantic_segmentation_loss_cls: 0.0233 caption_loss_cls: 3.1937 instance_segmentation_loss_cls: 0.0945 instance_segmentation_loss_reg: 0.3139 instance_segmentation_loss_poly: 1.0090 detection_loss_cls: 0.1576 detection_loss_reg: 0.6396 grounding_loss_reg: 5.1605 +2023/10/04 04:56:37 - mmengine - INFO - Saving checkpoint at 37500 iterations +2023/10/04 05:14:20 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 05:14:20 - mmengine - INFO - Iter(train) [ 38000/320000] base_lr: 1.9319e-04 lr: 7.7318e-05 eta: 6 days, 11:52:21 time: 2.0796 data_time: 0.1267 memory: 22140 grad_norm: 5.8623 loss: 1.6995 semantic_segmentation_loss_cls: 0.0232 caption_loss_cls: 3.1805 instance_segmentation_loss_cls: 0.0935 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 1.0046 detection_loss_cls: 0.1565 detection_loss_reg: 0.6376 grounding_loss_reg: 5.1526 +2023/10/04 05:14:20 - mmengine - INFO - Saving checkpoint at 38000 iterations +2023/10/04 05:32:40 - mmengine - INFO - Iter(train) [ 38500/320000] base_lr: 1.9301e-04 lr: 7.7247e-05 eta: 6 days, 12:51:10 time: 2.1106 data_time: 0.1265 memory: 22140 grad_norm: 5.8612 loss: 1.6976 semantic_segmentation_loss_cls: 0.0230 caption_loss_cls: 3.1770 instance_segmentation_loss_cls: 0.0922 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 1.0021 detection_loss_cls: 0.1559 detection_loss_reg: 0.6357 grounding_loss_reg: 5.1467 +2023/10/04 05:32:40 - mmengine - INFO - Saving checkpoint at 38500 iterations +2023/10/04 05:48:52 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 05:48:52 - mmengine - INFO - Iter(train) [ 39000/320000] base_lr: 1.9283e-04 lr: 7.7176e-05 eta: 6 days, 12:13:50 time: 2.0933 data_time: 0.1265 memory: 22140 grad_norm: 5.8638 loss: 1.7033 semantic_segmentation_loss_cls: 0.0230 caption_loss_cls: 3.1702 instance_segmentation_loss_cls: 0.0919 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 1.0013 detection_loss_cls: 0.1549 detection_loss_reg: 0.6328 grounding_loss_reg: 5.1419 +2023/10/04 05:48:52 - mmengine - INFO - Saving checkpoint at 39000 iterations +2023/10/04 06:06:20 - mmengine - INFO - Iter(train) [ 39500/320000] base_lr: 1.9265e-04 lr: 7.7104e-05 eta: 6 days, 12:26:26 time: 2.0936 data_time: 0.1259 memory: 22140 grad_norm: 5.8608 loss: 1.6992 semantic_segmentation_loss_cls: 0.0228 caption_loss_cls: 3.1663 instance_segmentation_loss_cls: 0.0912 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.9963 detection_loss_cls: 0.1548 detection_loss_reg: 0.6327 grounding_loss_reg: 5.1339 +2023/10/04 06:06:20 - mmengine - INFO - Saving checkpoint at 39500 iterations +2023/10/04 06:23:34 - mmengine - INFO - Exp name: univision_joint_all_20231004_012944 +2023/10/04 06:23:34 - mmengine - INFO - Iter(train) [ 40000/320000] base_lr: 1.9246e-04 lr: 7.7031e-05 eta: 6 days, 12:27:23 time: 2.1037 data_time: 0.1255 memory: 22140 grad_norm: 1.2640 loss: 1.7044 semantic_segmentation_loss_cls: 0.0229 caption_loss_cls: 3.1621 instance_segmentation_loss_cls: 0.0917 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.9965 detection_loss_cls: 0.1538 detection_loss_reg: 0.6299 grounding_loss_reg: 5.1285 +2023/10/04 06:23:34 - mmengine - INFO - Saving checkpoint at 40000 iterations +2023/10/04 06:28:04 - mmengine - INFO - Evaluating bbox... +2023/10/04 06:29:05 - mmengine - INFO - bbox_mAP_copypaste: 0.034 0.058 0.037 0.018 0.051 0.032 +2023/10/04 06:29:05 - mmengine - INFO - Evaluating segm... +2023/10/04 07:08:49 - mmengine - INFO - Iter(train) [ 40500/320000] base_lr: 1.9228e-04 lr: 7.6958e-05 eta: 4 days, 12:05:28 time: 2.0124 data_time: 0.1122 memory: 22139 grad_norm: 1.2509 loss: 1.6795 semantic_segmentation_loss_cls: 0.0228 caption_loss_cls: 3.1542 instance_segmentation_loss_cls: 0.0910 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.9902 detection_loss_cls: 0.1531 detection_loss_reg: 0.6277 grounding_loss_reg: 5.1208 +2023/10/04 07:08:49 - mmengine - INFO - Saving checkpoint at 40500 iterations +2023/10/04 07:22:29 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 07:22:29 - mmengine - INFO - Iter(train) [ 41000/320000] base_lr: 1.9209e-04 lr: 7.6883e-05 eta: 4 days, 21:26:41 time: 1.9516 data_time: 0.1119 memory: 22139 grad_norm: 0.9888 loss: 1.6922 semantic_segmentation_loss_cls: 0.0227 caption_loss_cls: 3.1437 instance_segmentation_loss_cls: 0.0910 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.9891 detection_loss_cls: 0.1528 detection_loss_reg: 0.6282 grounding_loss_reg: 5.1123 +2023/10/04 07:22:29 - mmengine - INFO - Saving checkpoint at 41000 iterations +2023/10/04 07:38:12 - mmengine - INFO - Iter(train) [ 41500/320000] base_lr: 1.9190e-04 lr: 7.6808e-05 eta: 5 days, 6:46:49 time: 1.9186 data_time: 0.1116 memory: 22139 grad_norm: 0.9771 loss: 1.6758 semantic_segmentation_loss_cls: 0.0226 caption_loss_cls: 3.1387 instance_segmentation_loss_cls: 0.0901 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.9843 detection_loss_cls: 0.1525 detection_loss_reg: 0.6281 grounding_loss_reg: 5.1042 +2023/10/04 07:38:12 - mmengine - INFO - Saving checkpoint at 41500 iterations +2023/10/04 07:55:23 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 07:55:23 - mmengine - INFO - Iter(train) [ 42000/320000] base_lr: 1.9170e-04 lr: 7.6731e-05 eta: 5 days, 14:44:48 time: 1.9108 data_time: 0.1125 memory: 22139 grad_norm: 0.9783 loss: 1.6668 semantic_segmentation_loss_cls: 0.0226 caption_loss_cls: 3.1321 instance_segmentation_loss_cls: 0.0907 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.9856 detection_loss_cls: 0.1516 detection_loss_reg: 0.6279 grounding_loss_reg: 5.0958 +2023/10/04 07:55:23 - mmengine - INFO - Saving checkpoint at 42000 iterations +2023/10/04 08:11:35 - mmengine - INFO - Iter(train) [ 42500/320000] base_lr: 1.9151e-04 lr: 7.6654e-05 eta: 5 days, 17:33:57 time: 1.8789 data_time: 0.1131 memory: 22139 grad_norm: 0.9787 loss: 1.6706 semantic_segmentation_loss_cls: 0.0225 caption_loss_cls: 3.1238 instance_segmentation_loss_cls: 0.0904 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.9842 detection_loss_cls: 0.1509 detection_loss_reg: 0.6282 grounding_loss_reg: 5.0908 +2023/10/04 08:11:35 - mmengine - INFO - Saving checkpoint at 42500 iterations +2023/10/04 08:28:21 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 08:28:21 - mmengine - INFO - Iter(train) [ 43000/320000] base_lr: 1.9131e-04 lr: 7.6576e-05 eta: 5 days, 20:13:31 time: 1.8873 data_time: 0.1139 memory: 22139 grad_norm: 0.9730 loss: 1.6612 semantic_segmentation_loss_cls: 0.0224 caption_loss_cls: 3.1188 instance_segmentation_loss_cls: 0.0902 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.9820 detection_loss_cls: 0.1500 detection_loss_reg: 0.6247 grounding_loss_reg: 5.0841 +2023/10/04 08:28:21 - mmengine - INFO - Saving checkpoint at 43000 iterations +2023/10/04 08:44:51 - mmengine - INFO - Iter(train) [ 43500/320000] base_lr: 1.9111e-04 lr: 7.6497e-05 eta: 5 days, 21:42:03 time: 1.8729 data_time: 0.1144 memory: 22139 grad_norm: 0.9713 loss: 1.6568 semantic_segmentation_loss_cls: 0.0224 caption_loss_cls: 3.1173 instance_segmentation_loss_cls: 0.0896 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.9791 detection_loss_cls: 0.1491 detection_loss_reg: 0.6233 grounding_loss_reg: 5.0777 +2023/10/04 08:44:51 - mmengine - INFO - Saving checkpoint at 43500 iterations +2023/10/04 09:01:18 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 09:01:18 - mmengine - INFO - Iter(train) [ 44000/320000] base_lr: 1.9091e-04 lr: 7.6418e-05 eta: 5 days, 22:40:58 time: 1.8611 data_time: 0.1148 memory: 22139 grad_norm: 0.9609 loss: 1.6378 semantic_segmentation_loss_cls: 0.0223 caption_loss_cls: 3.1133 instance_segmentation_loss_cls: 0.0890 instance_segmentation_loss_reg: 0.3050 instance_segmentation_loss_poly: 0.9760 detection_loss_cls: 0.1481 detection_loss_reg: 0.6207 grounding_loss_reg: 5.0715 +2023/10/04 09:01:18 - mmengine - INFO - Saving checkpoint at 44000 iterations +2023/10/04 09:18:29 - mmengine - INFO - Iter(train) [ 44500/320000] base_lr: 1.9070e-04 lr: 7.6337e-05 eta: 6 days, 0:08:14 time: 1.9449 data_time: 0.1280 memory: 22139 grad_norm: 0.9620 loss: 1.6471 semantic_segmentation_loss_cls: 0.0223 caption_loss_cls: 3.1091 instance_segmentation_loss_cls: 0.0888 instance_segmentation_loss_reg: 0.3052 instance_segmentation_loss_poly: 0.9764 detection_loss_cls: 0.1474 detection_loss_reg: 0.6196 grounding_loss_reg: 5.0609 +2023/10/04 09:18:29 - mmengine - INFO - Saving checkpoint at 44500 iterations +2023/10/04 09:35:17 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 09:35:17 - mmengine - INFO - Iter(train) [ 45000/320000] base_lr: 1.9050e-04 lr: 7.6256e-05 eta: 6 days, 0:52:36 time: 1.9919 data_time: 0.1287 memory: 22139 grad_norm: 0.9867 loss: 1.6288 semantic_segmentation_loss_cls: 0.0222 caption_loss_cls: 3.1051 instance_segmentation_loss_cls: 0.0885 instance_segmentation_loss_reg: 0.3052 instance_segmentation_loss_poly: 0.9758 detection_loss_cls: 0.1473 detection_loss_reg: 0.6198 grounding_loss_reg: 5.0511 +2023/10/04 09:35:17 - mmengine - INFO - Saving checkpoint at 45000 iterations +2023/10/04 09:52:12 - mmengine - INFO - Iter(train) [ 45500/320000] base_lr: 1.9029e-04 lr: 7.6173e-05 eta: 6 days, 1:32:21 time: 2.0099 data_time: 0.1285 memory: 22139 grad_norm: 0.9938 loss: 1.6349 semantic_segmentation_loss_cls: 0.0220 caption_loss_cls: 3.1047 instance_segmentation_loss_cls: 0.0882 instance_segmentation_loss_reg: 0.3043 instance_segmentation_loss_poly: 0.9741 detection_loss_cls: 0.1470 detection_loss_reg: 0.6186 grounding_loss_reg: 5.0424 +2023/10/04 09:52:12 - mmengine - INFO - Saving checkpoint at 45500 iterations +2023/10/04 10:09:31 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 10:09:31 - mmengine - INFO - Iter(train) [ 46000/320000] base_lr: 1.9008e-04 lr: 7.6090e-05 eta: 6 days, 2:21:15 time: 2.0119 data_time: 0.1276 memory: 22139 grad_norm: 0.9957 loss: 1.6455 semantic_segmentation_loss_cls: 0.0218 caption_loss_cls: 3.1081 instance_segmentation_loss_cls: 0.0878 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.9707 detection_loss_cls: 0.1467 detection_loss_reg: 0.6188 grounding_loss_reg: 5.0378 +2023/10/04 10:09:31 - mmengine - INFO - Saving checkpoint at 46000 iterations +2023/10/04 10:27:06 - mmengine - INFO - Iter(train) [ 46500/320000] base_lr: 1.8986e-04 lr: 7.6006e-05 eta: 6 days, 3:10:40 time: 2.0326 data_time: 0.1272 memory: 22139 grad_norm: 1.0040 loss: 1.6382 semantic_segmentation_loss_cls: 0.0217 caption_loss_cls: 3.1063 instance_segmentation_loss_cls: 0.0869 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.9666 detection_loss_cls: 0.1464 detection_loss_reg: 0.6185 grounding_loss_reg: 5.0331 +2023/10/04 10:27:06 - mmengine - INFO - Saving checkpoint at 46500 iterations +2023/10/04 10:43:20 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 10:43:20 - mmengine - INFO - Iter(train) [ 47000/320000] base_lr: 1.8965e-04 lr: 7.5922e-05 eta: 6 days, 2:57:32 time: 2.0245 data_time: 0.1270 memory: 22139 grad_norm: 1.0188 loss: 1.6465 semantic_segmentation_loss_cls: 0.0217 caption_loss_cls: 3.0985 instance_segmentation_loss_cls: 0.0866 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.9628 detection_loss_cls: 0.1462 detection_loss_reg: 0.6162 grounding_loss_reg: 5.0286 +2023/10/04 10:43:20 - mmengine - INFO - Saving checkpoint at 47000 iterations +2023/10/04 11:00:55 - mmengine - INFO - Iter(train) [ 47500/320000] base_lr: 1.8943e-04 lr: 7.5836e-05 eta: 6 days, 3:33:32 time: 2.0408 data_time: 0.1273 memory: 22139 grad_norm: 1.0276 loss: 1.6433 semantic_segmentation_loss_cls: 0.0216 caption_loss_cls: 3.0978 instance_segmentation_loss_cls: 0.0857 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.9580 detection_loss_cls: 0.1459 detection_loss_reg: 0.6153 grounding_loss_reg: 5.0212 +2023/10/04 11:00:55 - mmengine - INFO - Saving checkpoint at 47500 iterations +2023/10/04 11:18:14 - mmengine - INFO - Exp name: univision_joint_all_20231004_063125 +2023/10/04 11:18:14 - mmengine - INFO - Iter(train) [ 48000/320000] base_lr: 1.8921e-04 lr: 7.5749e-05 eta: 6 days, 3:53:48 time: 2.0538 data_time: 0.1272 memory: 22139 grad_norm: 1.0369 loss: 1.6565 semantic_segmentation_loss_cls: 0.0215 caption_loss_cls: 3.0956 instance_segmentation_loss_cls: 0.0860 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.9588 detection_loss_cls: 0.1457 detection_loss_reg: 0.6151 grounding_loss_reg: 5.0143 +2023/10/04 11:18:14 - mmengine - INFO - Saving checkpoint at 48000 iterations +2023/10/06 09:35:46 - mmengine - INFO - Iter(train) [ 48500/320000] base_lr: 1.8899e-04 lr: 7.5662e-05 eta: 4 days, 10:22:49 time: 1.9723 data_time: 0.1139 memory: 22136 grad_norm: 1.0363 loss: 1.6551 semantic_segmentation_loss_cls: 0.0214 caption_loss_cls: 3.0897 instance_segmentation_loss_cls: 0.0856 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.9578 detection_loss_cls: 0.1456 detection_loss_reg: 0.6166 grounding_loss_reg: 5.0102 +2023/10/06 09:35:46 - mmengine - INFO - Saving checkpoint at 48500 iterations +2023/10/06 09:49:02 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 09:49:02 - mmengine - INFO - Iter(train) [ 49000/320000] base_lr: 1.8876e-04 lr: 7.5574e-05 eta: 4 days, 17:02:19 time: 1.9196 data_time: 0.1128 memory: 22136 grad_norm: 1.0223 loss: 1.6706 semantic_segmentation_loss_cls: 0.0215 caption_loss_cls: 3.0903 instance_segmentation_loss_cls: 0.0855 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.9566 detection_loss_cls: 0.1454 detection_loss_reg: 0.6151 grounding_loss_reg: 4.9973 +2023/10/06 09:49:02 - mmengine - INFO - Saving checkpoint at 49000 iterations +2023/10/06 10:06:41 - mmengine - INFO - Iter(train) [ 49500/320000] base_lr: 1.8854e-04 lr: 7.5485e-05 eta: 5 days, 8:15:30 time: 1.9305 data_time: 0.1134 memory: 22136 grad_norm: 1.0157 loss: 1.6608 semantic_segmentation_loss_cls: 0.0214 caption_loss_cls: 3.0800 instance_segmentation_loss_cls: 0.0851 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.9544 detection_loss_cls: 0.1446 detection_loss_reg: 0.6126 grounding_loss_reg: 4.9924 +2023/10/06 10:06:41 - mmengine - INFO - Saving checkpoint at 49500 iterations +2023/10/06 10:23:55 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 10:23:55 - mmengine - INFO - Iter(train) [ 50000/320000] base_lr: 1.8831e-04 lr: 7.5395e-05 eta: 5 days, 14:47:20 time: 1.9292 data_time: 0.1135 memory: 22136 grad_norm: 1.0083 loss: 1.6488 semantic_segmentation_loss_cls: 0.0214 caption_loss_cls: 3.0788 instance_segmentation_loss_cls: 0.0857 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.9582 detection_loss_cls: 0.1439 detection_loss_reg: 0.6114 grounding_loss_reg: 4.9864 +2023/10/06 10:23:55 - mmengine - INFO - Saving checkpoint at 50000 iterations +2023/10/06 10:40:12 - mmengine - INFO - Iter(train) [ 50500/320000] base_lr: 1.8808e-04 lr: 7.5304e-05 eta: 5 days, 16:52:51 time: 1.9097 data_time: 0.1131 memory: 22136 grad_norm: 1.0000 loss: 1.6551 semantic_segmentation_loss_cls: 0.0213 caption_loss_cls: 3.0784 instance_segmentation_loss_cls: 0.0861 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.9566 detection_loss_cls: 0.1427 detection_loss_reg: 0.6083 grounding_loss_reg: 4.9822 +2023/10/06 10:40:12 - mmengine - INFO - Saving checkpoint at 50500 iterations +2023/10/06 10:57:35 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 10:57:35 - mmengine - INFO - Iter(train) [ 51000/320000] base_lr: 1.8785e-04 lr: 7.5213e-05 eta: 5 days, 19:49:49 time: 1.9271 data_time: 0.1126 memory: 22136 grad_norm: 0.9860 loss: 1.6488 semantic_segmentation_loss_cls: 0.0213 caption_loss_cls: 3.0790 instance_segmentation_loss_cls: 0.0860 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.9566 detection_loss_cls: 0.1421 detection_loss_reg: 0.6064 grounding_loss_reg: 4.9769 +2023/10/06 10:57:35 - mmengine - INFO - Saving checkpoint at 51000 iterations +2023/10/06 11:14:03 - mmengine - INFO - Iter(train) [ 51500/320000] base_lr: 1.8761e-04 lr: 7.5121e-05 eta: 5 days, 20:41:01 time: 1.9103 data_time: 0.1119 memory: 22136 grad_norm: 0.9905 loss: 1.6494 semantic_segmentation_loss_cls: 0.0213 caption_loss_cls: 3.0780 instance_segmentation_loss_cls: 0.0855 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.9542 detection_loss_cls: 0.1422 detection_loss_reg: 0.6075 grounding_loss_reg: 4.9724 +2023/10/06 11:14:03 - mmengine - INFO - Saving checkpoint at 51500 iterations +2023/10/06 11:31:23 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 11:31:23 - mmengine - INFO - Iter(train) [ 52000/320000] base_lr: 1.8738e-04 lr: 7.5028e-05 eta: 5 days, 22:13:14 time: 1.9104 data_time: 0.1111 memory: 22136 grad_norm: 0.9842 loss: 1.6379 semantic_segmentation_loss_cls: 0.0213 caption_loss_cls: 3.0772 instance_segmentation_loss_cls: 0.0849 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.9489 detection_loss_cls: 0.1421 detection_loss_reg: 0.6078 grounding_loss_reg: 4.9686 +2023/10/06 11:31:23 - mmengine - INFO - Saving checkpoint at 52000 iterations +2023/10/06 11:49:32 - mmengine - INFO - Iter(train) [ 52500/320000] base_lr: 1.8714e-04 lr: 7.4934e-05 eta: 6 days, 0:10:10 time: 2.0064 data_time: 0.1241 memory: 22136 grad_norm: 0.9911 loss: 1.6356 semantic_segmentation_loss_cls: 0.0213 caption_loss_cls: 3.0721 instance_segmentation_loss_cls: 0.0846 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.9476 detection_loss_cls: 0.1413 detection_loss_reg: 0.6058 grounding_loss_reg: 4.9639 +2023/10/06 11:49:32 - mmengine - INFO - Saving checkpoint at 52500 iterations +2023/10/06 12:07:32 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 12:07:32 - mmengine - INFO - Iter(train) [ 53000/320000] base_lr: 1.8690e-04 lr: 7.4839e-05 eta: 6 days, 1:31:57 time: 2.0774 data_time: 0.1244 memory: 22136 grad_norm: 0.9750 loss: 1.6165 semantic_segmentation_loss_cls: 0.0212 caption_loss_cls: 3.0713 instance_segmentation_loss_cls: 0.0846 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.9450 detection_loss_cls: 0.1414 detection_loss_reg: 0.6058 grounding_loss_reg: 4.9581 +2023/10/06 12:07:32 - mmengine - INFO - Saving checkpoint at 53000 iterations +2023/10/06 12:25:18 - mmengine - INFO - Iter(train) [ 53500/320000] base_lr: 1.8666e-04 lr: 7.4743e-05 eta: 6 days, 2:23:51 time: 2.0791 data_time: 0.1233 memory: 22136 grad_norm: 0.9874 loss: 1.6271 semantic_segmentation_loss_cls: 0.0212 caption_loss_cls: 3.0725 instance_segmentation_loss_cls: 0.0843 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.9440 detection_loss_cls: 0.1423 detection_loss_reg: 0.6089 grounding_loss_reg: 4.9525 +2023/10/06 12:25:18 - mmengine - INFO - Saving checkpoint at 53500 iterations +2023/10/06 12:43:21 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 12:43:21 - mmengine - INFO - Iter(train) [ 54000/320000] base_lr: 1.8641e-04 lr: 7.4647e-05 eta: 6 days, 3:16:45 time: 2.0913 data_time: 0.1226 memory: 22136 grad_norm: 1.0078 loss: 1.6242 semantic_segmentation_loss_cls: 0.0211 caption_loss_cls: 3.0666 instance_segmentation_loss_cls: 0.0837 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.9414 detection_loss_cls: 0.1417 detection_loss_reg: 0.6073 grounding_loss_reg: 4.9473 +2023/10/06 12:43:21 - mmengine - INFO - Saving checkpoint at 54000 iterations +2023/10/06 13:01:18 - mmengine - INFO - Iter(train) [ 54500/320000] base_lr: 1.8616e-04 lr: 7.4550e-05 eta: 6 days, 3:54:45 time: 2.1163 data_time: 0.1224 memory: 22136 grad_norm: 1.0214 loss: 1.6131 semantic_segmentation_loss_cls: 0.0211 caption_loss_cls: 3.0656 instance_segmentation_loss_cls: 0.0831 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.9390 detection_loss_cls: 0.1417 detection_loss_reg: 0.6072 grounding_loss_reg: 4.9432 +2023/10/06 13:01:18 - mmengine - INFO - Saving checkpoint at 54500 iterations +2023/10/06 13:17:20 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 13:17:20 - mmengine - INFO - Iter(train) [ 55000/320000] base_lr: 1.8592e-04 lr: 7.4452e-05 eta: 6 days, 3:12:29 time: 2.0962 data_time: 0.1217 memory: 22136 grad_norm: 1.0371 loss: 1.6135 semantic_segmentation_loss_cls: 0.0210 caption_loss_cls: 3.0588 instance_segmentation_loss_cls: 0.0827 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.9369 detection_loss_cls: 0.1415 detection_loss_reg: 0.6055 grounding_loss_reg: 4.9395 +2023/10/06 13:17:20 - mmengine - INFO - Saving checkpoint at 55000 iterations +2023/10/06 13:35:01 - mmengine - INFO - Iter(train) [ 55500/320000] base_lr: 1.8566e-04 lr: 7.4353e-05 eta: 6 days, 3:31:46 time: 2.1145 data_time: 0.1215 memory: 22136 grad_norm: 1.0298 loss: 1.6148 semantic_segmentation_loss_cls: 0.0210 caption_loss_cls: 3.0584 instance_segmentation_loss_cls: 0.0823 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.9372 detection_loss_cls: 0.1415 detection_loss_reg: 0.6051 grounding_loss_reg: 4.9318 +2023/10/06 13:35:01 - mmengine - INFO - Saving checkpoint at 55500 iterations +2023/10/06 13:52:45 - mmengine - INFO - Exp name: univision_joint_all_20231006_085832 +2023/10/06 13:52:45 - mmengine - INFO - Iter(train) [ 56000/320000] base_lr: 1.8541e-04 lr: 7.4253e-05 eta: 6 days, 3:47:55 time: 2.1205 data_time: 0.1220 memory: 22136 grad_norm: 1.0372 loss: 1.6356 semantic_segmentation_loss_cls: 0.0210 caption_loss_cls: 3.0623 instance_segmentation_loss_cls: 0.0826 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.9373 detection_loss_cls: 0.1414 detection_loss_reg: 0.6063 grounding_loss_reg: 4.9270 +2023/10/06 13:52:45 - mmengine - INFO - Saving checkpoint at 56000 iterations +2023/10/06 14:46:07 - mmengine - INFO - Iter(train) [ 56500/320000] base_lr: 1.8516e-04 lr: 7.4153e-05 eta: 4 days, 3:03:23 time: 2.0173 data_time: 0.1109 memory: 22136 grad_norm: 1.0265 loss: 1.6328 semantic_segmentation_loss_cls: 0.0209 caption_loss_cls: 3.0576 instance_segmentation_loss_cls: 0.0820 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.9353 detection_loss_cls: 0.1411 detection_loss_reg: 0.6071 grounding_loss_reg: 4.9210 +2023/10/06 14:46:07 - mmengine - INFO - Saving checkpoint at 56500 iterations +2023/10/06 14:58:46 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 14:58:46 - mmengine - INFO - Iter(train) [ 57000/320000] base_lr: 1.8490e-04 lr: 7.4052e-05 eta: 4 days, 8:54:06 time: 1.9371 data_time: 0.1113 memory: 22136 grad_norm: 1.0504 loss: 1.6534 semantic_segmentation_loss_cls: 0.0209 caption_loss_cls: 3.0555 instance_segmentation_loss_cls: 0.0818 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.9335 detection_loss_cls: 0.1412 detection_loss_reg: 0.6090 grounding_loss_reg: 4.9125 +2023/10/06 14:58:46 - mmengine - INFO - Saving checkpoint at 57000 iterations +2023/10/06 15:13:43 - mmengine - INFO - Iter(train) [ 57500/320000] base_lr: 1.8464e-04 lr: 7.3949e-05 eta: 4 days, 17:22:35 time: 1.8948 data_time: 0.1131 memory: 22135 grad_norm: 1.0406 loss: 1.6423 semantic_segmentation_loss_cls: 0.0209 caption_loss_cls: 3.0528 instance_segmentation_loss_cls: 0.0808 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.9310 detection_loss_cls: 0.1412 detection_loss_reg: 0.6106 grounding_loss_reg: 4.9071 +2023/10/06 15:13:43 - mmengine - INFO - Saving checkpoint at 57500 iterations +2023/10/06 15:30:53 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 15:30:53 - mmengine - INFO - Iter(train) [ 58000/320000] base_lr: 1.8438e-04 lr: 7.3847e-05 eta: 5 days, 2:21:06 time: 1.8816 data_time: 0.1143 memory: 22135 grad_norm: 1.0248 loss: 1.6356 semantic_segmentation_loss_cls: 0.0208 caption_loss_cls: 3.0539 instance_segmentation_loss_cls: 0.0809 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.9282 detection_loss_cls: 0.1411 detection_loss_reg: 0.6111 grounding_loss_reg: 4.9002 +2023/10/06 15:30:53 - mmengine - INFO - Saving checkpoint at 58000 iterations +2023/10/06 15:46:15 - mmengine - INFO - Iter(train) [ 58500/320000] base_lr: 1.8412e-04 lr: 7.3743e-05 eta: 5 days, 4:28:52 time: 1.8428 data_time: 0.1149 memory: 22135 grad_norm: 1.0126 loss: 1.6394 semantic_segmentation_loss_cls: 0.0208 caption_loss_cls: 3.0539 instance_segmentation_loss_cls: 0.0809 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.9263 detection_loss_cls: 0.1401 detection_loss_reg: 0.6088 grounding_loss_reg: 4.8969 +2023/10/06 15:46:15 - mmengine - INFO - Saving checkpoint at 58500 iterations +2023/10/06 16:03:06 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 16:03:06 - mmengine - INFO - Iter(train) [ 59000/320000] base_lr: 1.8385e-04 lr: 7.3639e-05 eta: 5 days, 7:58:57 time: 1.8552 data_time: 0.1154 memory: 22135 grad_norm: 0.9987 loss: 1.6276 semantic_segmentation_loss_cls: 0.0208 caption_loss_cls: 3.0467 instance_segmentation_loss_cls: 0.0807 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.9228 detection_loss_cls: 0.1400 detection_loss_reg: 0.6074 grounding_loss_reg: 4.8920 +2023/10/06 16:03:06 - mmengine - INFO - Saving checkpoint at 59000 iterations +2023/10/06 16:19:04 - mmengine - INFO - Iter(train) [ 59500/320000] base_lr: 1.8359e-04 lr: 7.3533e-05 eta: 5 days, 9:16:45 time: 1.8292 data_time: 0.1160 memory: 22135 grad_norm: 0.9961 loss: 1.6193 semantic_segmentation_loss_cls: 0.0207 caption_loss_cls: 3.0452 instance_segmentation_loss_cls: 0.0807 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.9216 detection_loss_cls: 0.1395 detection_loss_reg: 0.6064 grounding_loss_reg: 4.8876 +2023/10/06 16:19:04 - mmengine - INFO - Saving checkpoint at 59500 iterations +2023/10/06 16:35:11 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 16:35:11 - mmengine - INFO - Iter(train) [ 60000/320000] base_lr: 1.8332e-04 lr: 7.3428e-05 eta: 5 days, 10:22:04 time: 1.8051 data_time: 0.1158 memory: 22135 grad_norm: 0.9911 loss: 1.6040 semantic_segmentation_loss_cls: 0.0207 caption_loss_cls: 3.0483 instance_segmentation_loss_cls: 0.0804 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.9193 detection_loss_cls: 0.1391 detection_loss_reg: 0.6061 grounding_loss_reg: 4.8836 +2023/10/06 16:35:11 - mmengine - INFO - Saving checkpoint at 60000 iterations +2023/10/06 16:39:43 - mmengine - INFO - Evaluating bbox... +2023/10/06 16:40:46 - mmengine - INFO - bbox_mAP_copypaste: 0.070 0.114 0.074 0.034 0.096 0.086 +2023/10/06 16:40:46 - mmengine - INFO - Evaluating segm... +2023/10/06 16:42:02 - mmengine - INFO - segm_mAP_copypaste: 0.029 0.076 0.016 0.012 0.038 0.055 +2023/10/06 16:43:20 - mmengine - INFO - Evaluating bbox... +2023/10/06 16:44:26 - mmengine - INFO - bbox_mAP_copypaste: 0.095 0.158 0.100 0.039 0.123 0.125 +2023/10/06 16:46:37 - mmengine - INFO - per class results: +2023/10/06 16:46:37 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 61.52 | 84.7 | +| building | 70.6 | 77.72 | +| sky | 91.93 | 95.53 | +| floor | 70.51 | 81.58 | +| tree | 66.37 | 83.59 | +| ceiling | 72.89 | 87.95 | +| road | 72.41 | 87.98 | +| bed | 65.9 | 89.87 | +| windowpane | 3.64 | 3.67 | +| grass | 58.58 | 86.07 | +| cabinet | 42.33 | 56.45 | +| sidewalk | 39.27 | 47.46 | +| person | 71.17 | 90.29 | +| earth | 28.55 | 43.38 | +| door | 17.33 | 26.58 | +| table | 30.53 | 49.54 | +| mountain | 41.25 | 59.54 | +| plant | 41.08 | 49.02 | +| curtain | 42.44 | 71.17 | +| chair | 34.15 | 70.0 | +| car | 73.27 | 89.69 | +| water | 41.84 | 53.91 | +| painting | 50.49 | 70.23 | +| sofa | 42.11 | 65.66 | +| shelf | 24.85 | 43.07 | +| house | 30.16 | 83.86 | +| sea | 36.95 | 62.15 | +| mirror | 21.04 | 28.66 | +| rug | 34.49 | 47.25 | +| field | 17.31 | 20.19 | +| armchair | 9.16 | 11.32 | +| seat | 37.4 | 60.85 | +| fence | 21.22 | 37.71 | +| desk | 17.3 | 34.55 | +| rock | 34.02 | 79.93 | +| wardrobe | 8.52 | 9.74 | +| lamp | 33.02 | 39.1 | +| bathtub | 10.99 | 11.04 | +| railing | 10.62 | 12.6 | +| cushion | 21.14 | 27.18 | +| base | 0.42 | 0.49 | +| box | 13.37 | 24.21 | +| column | 23.22 | 27.57 | +| signboard | 23.79 | 27.97 | +| chest of drawers | 4.23 | 4.68 | +| counter | 8.79 | 22.74 | +| sand | 24.61 | 33.48 | +| sink | 28.3 | 38.04 | +| skyscraper | 42.47 | 75.79 | +| fireplace | 26.0 | 30.01 | +| refrigerator | 18.08 | 78.41 | +| grandstand | 34.05 | 36.66 | +| path | 18.14 | 22.17 | +| stairs | 23.26 | 32.49 | +| runway | 60.46 | 75.54 | +| case | 35.78 | 43.6 | +| pool table | 54.77 | 80.45 | +| pillow | 1.0 | 1.01 | +| screen door | 0.0 | 0.0 | +| stairway | 13.29 | 14.4 | +| river | 0.0 | 0.0 | +| bridge | 24.78 | 28.35 | +| bookcase | 0.0 | 0.0 | +| blind | 12.19 | 14.3 | +| coffee table | 5.71 | 5.85 | +| toilet | 51.8 | 86.73 | +| flower | 13.2 | 17.4 | +| book | 32.46 | 53.0 | +| hill | 0.5 | 0.51 | +| bench | 19.24 | 37.35 | +| countertop | 0.0 | 0.0 | +| stove | 22.5 | 49.83 | +| palm | 28.78 | 34.12 | +| kitchen island | 11.94 | 15.31 | +| computer | 18.51 | 20.45 | +| swivel chair | 19.16 | 35.16 | +| boat | 47.79 | 86.7 | +| bar | 8.18 | 9.15 | +| arcade machine | 0.0 | 0.0 | +| hovel | 0.0 | 0.0 | +| bus | 70.5 | 86.13 | +| towel | 30.7 | 37.62 | +| light | 7.07 | 15.39 | +| truck | 14.1 | 25.53 | +| tower | 28.67 | 39.83 | +| chandelier | 12.06 | 12.24 | +| awning | 0.0 | 0.0 | +| streetlight | 0.0 | 0.0 | +| booth | 0.0 | 0.0 | +| television receiver | 34.29 | 37.52 | +| airplane | 44.98 | 63.88 | +| dirt track | 0.0 | 0.0 | +| apparel | 14.33 | 32.69 | +| pole | 16.16 | 35.7 | +| land | 0.0 | 0.0 | +| bannister | 0.0 | 0.0 | +| escalator | 0.0 | 0.0 | +| ottoman | 0.63 | 0.71 | +| bottle | 13.33 | 19.0 | +| buffet | 0.12 | 0.13 | +| poster | 3.42 | 4.66 | +| stage | 0.0 | 0.0 | +| van | 1.17 | 1.2 | +| ship | 0.15 | 0.15 | +| fountain | 11.5 | 13.1 | +| conveyer belt | 15.19 | 20.37 | +| canopy | 0.42 | 0.42 | +| washer | 21.88 | 28.7 | +| plaything | 3.7 | 3.91 | +| swimming pool | 1.71 | 1.77 | +| stool | 1.9 | 1.91 | +| barrel | 0.0 | 0.0 | +| basket | 3.09 | 3.34 | +| waterfall | 30.33 | 36.71 | +| tent | 41.88 | 97.56 | +| bag | 1.72 | 1.78 | +| minibike | 39.02 | 46.7 | +| cradle | 42.54 | 82.74 | +| oven | 7.09 | 40.68 | +| ball | 11.51 | 12.11 | +| food | 37.14 | 40.66 | +| step | 0.0 | 0.0 | +| tank | 0.39 | 0.41 | +| trade name | 11.29 | 14.99 | +| microwave | 52.9 | 68.89 | +| pot | 25.36 | 28.35 | +| animal | 23.52 | 24.29 | +| bicycle | 34.16 | 58.66 | +| lake | 1.1 | 1.72 | +| dishwasher | 0.0 | 0.0 | +| screen | 25.03 | 41.97 | +| blanket | 0.0 | 0.0 | +| sculpture | 9.24 | 9.96 | +| hood | 0.41 | 0.41 | +| sconce | 0.0 | 0.0 | +| vase | 19.75 | 27.87 | +| traffic light | 13.29 | 19.37 | +| tray | 1.85 | 1.98 | +| ashcan | 6.61 | 7.82 | +| fan | 0.21 | 0.21 | +| pier | 21.16 | 45.49 | +| crt screen | 0.0 | 0.0 | +| plate | 31.42 | 44.2 | +| monitor | 1.68 | 2.52 | +| bulletin board | 0.0 | 0.0 | +| shower | 0.0 | 0.0 | +| radiator | 0.0 | 0.0 | +| glass | 3.29 | 3.44 | +| clock | 6.2 | 8.24 | +| flag | 22.67 | 26.0 | ++---------------------+-------+-------+ +2023/10/06 16:46:53 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.0950 coco/bbox_mAP_50: 0.1580 coco/bbox_mAP_75: 0.1000 coco/bbox_mAP_s: 0.0390 coco/bbox_mAP_m: 0.1230 coco/bbox_mAP_l: 0.1250 coco/segm_mAP: 0.0290 coco/segm_mAP_50: 0.0760 coco/segm_mAP_75: 0.0160 coco/segm_mAP_s: 0.0120 coco/segm_mAP_m: 0.0380 coco/segm_mAP_l: 0.0550 Bleu_1: 0.5882 Bleu_2: 0.4086 Bleu_3: 0.2810 Bleu_4: 0.1926 METEOR: 0.1879 ROUGE_L: 0.4447 CIDEr: 0.5680 SPICE: 0.1296 aAcc: 70.1600 mIoU: 21.6200 mAcc: 31.1800 visual-grounding/miou: 0.4664 visual-grounding/acc: 0.5046 data_time: 0.0746 time: 0.5826 +2023/10/06 17:02:28 - mmengine - INFO - Iter(train) [ 60500/320000] base_lr: 1.8305e-04 lr: 7.3321e-05 eta: 5 days, 10:42:50 time: 1.8709 data_time: 0.1155 memory: 22135 grad_norm: 0.9942 loss: 1.6091 semantic_segmentation_loss_cls: 0.0208 caption_loss_cls: 3.0480 instance_segmentation_loss_cls: 0.0801 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.9198 detection_loss_cls: 0.1390 detection_loss_reg: 0.6067 grounding_loss_reg: 4.8824 +2023/10/06 17:02:28 - mmengine - INFO - Saving checkpoint at 60500 iterations +2023/10/06 17:18:54 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 17:18:54 - mmengine - INFO - Iter(train) [ 61000/320000] base_lr: 1.8277e-04 lr: 7.3213e-05 eta: 5 days, 11:36:09 time: 1.9276 data_time: 0.1155 memory: 22135 grad_norm: 0.9633 loss: 1.5869 semantic_segmentation_loss_cls: 0.0207 caption_loss_cls: 3.0500 instance_segmentation_loss_cls: 0.0796 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.9166 detection_loss_cls: 0.1391 detection_loss_reg: 0.6062 grounding_loss_reg: 4.8753 +2023/10/06 17:18:54 - mmengine - INFO - Saving checkpoint at 61000 iterations +2023/10/06 17:35:30 - mmengine - INFO - Iter(train) [ 61500/320000] base_lr: 1.8250e-04 lr: 7.3105e-05 eta: 5 days, 12:24:47 time: 1.9525 data_time: 0.1140 memory: 22135 grad_norm: 0.9737 loss: 1.5948 semantic_segmentation_loss_cls: 0.0207 caption_loss_cls: 3.0470 instance_segmentation_loss_cls: 0.0790 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.9146 detection_loss_cls: 0.1392 detection_loss_reg: 0.6067 grounding_loss_reg: 4.8711 +2023/10/06 17:35:30 - mmengine - INFO - Saving checkpoint at 61500 iterations +2023/10/06 17:52:03 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 17:52:04 - mmengine - INFO - Iter(train) [ 62000/320000] base_lr: 1.8222e-04 lr: 7.2996e-05 eta: 5 days, 13:00:42 time: 1.9434 data_time: 0.1134 memory: 22135 grad_norm: 0.9809 loss: 1.6122 semantic_segmentation_loss_cls: 0.0207 caption_loss_cls: 3.0481 instance_segmentation_loss_cls: 0.0786 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.9138 detection_loss_cls: 0.1390 detection_loss_reg: 0.6067 grounding_loss_reg: 4.8675 +2023/10/06 17:52:04 - mmengine - INFO - Saving checkpoint at 62000 iterations +2023/10/06 18:09:12 - mmengine - INFO - Iter(train) [ 62500/320000] base_lr: 1.8194e-04 lr: 7.2886e-05 eta: 5 days, 13:51:27 time: 1.9700 data_time: 0.1135 memory: 22135 grad_norm: 0.9812 loss: 1.6084 semantic_segmentation_loss_cls: 0.0206 caption_loss_cls: 3.0464 instance_segmentation_loss_cls: 0.0779 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.9096 detection_loss_cls: 0.1391 detection_loss_reg: 0.6095 grounding_loss_reg: 4.8616 +2023/10/06 18:09:12 - mmengine - INFO - Saving checkpoint at 62500 iterations +2023/10/06 18:24:00 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 18:24:00 - mmengine - INFO - Iter(train) [ 63000/320000] base_lr: 1.8166e-04 lr: 7.2775e-05 eta: 5 days, 13:07:00 time: 1.9392 data_time: 0.1133 memory: 22135 grad_norm: 0.9977 loss: 1.6194 semantic_segmentation_loss_cls: 0.0204 caption_loss_cls: 3.0381 instance_segmentation_loss_cls: 0.0782 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.9092 detection_loss_cls: 0.1397 detection_loss_reg: 0.6113 grounding_loss_reg: 4.8559 +2023/10/06 18:24:00 - mmengine - INFO - Saving checkpoint at 63000 iterations +2023/10/06 18:39:58 - mmengine - INFO - Iter(train) [ 63500/320000] base_lr: 1.8138e-04 lr: 7.2664e-05 eta: 5 days, 13:05:56 time: 1.9393 data_time: 0.1129 memory: 22135 grad_norm: 0.9960 loss: 1.6192 semantic_segmentation_loss_cls: 0.0203 caption_loss_cls: 3.0309 instance_segmentation_loss_cls: 0.0781 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.9089 detection_loss_cls: 0.1394 detection_loss_reg: 0.6102 grounding_loss_reg: 4.8523 +2023/10/06 18:39:58 - mmengine - INFO - Saving checkpoint at 63500 iterations +2023/10/06 18:56:33 - mmengine - INFO - Exp name: univision_joint_all_20231006_140726 +2023/10/06 18:56:33 - mmengine - INFO - Iter(train) [ 64000/320000] base_lr: 1.8109e-04 lr: 7.2552e-05 eta: 5 days, 13:22:45 time: 1.9462 data_time: 0.1145 memory: 22135 grad_norm: 1.0070 loss: 1.6230 semantic_segmentation_loss_cls: 0.0203 caption_loss_cls: 3.0321 instance_segmentation_loss_cls: 0.0781 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.9101 detection_loss_cls: 0.1389 detection_loss_reg: 0.6074 grounding_loss_reg: 4.8489 +2023/10/06 18:56:33 - mmengine - INFO - Saving checkpoint at 64000 iterations +2023/10/07 23:25:10 - mmengine - INFO - Iter(train) [ 64500/320000] base_lr: 1.8081e-04 lr: 7.2439e-05 eta: 3 days, 21:52:56 time: 1.8766 data_time: 0.1132 memory: 22135 grad_norm: 1.0069 loss: 1.6169 semantic_segmentation_loss_cls: 0.0202 caption_loss_cls: 3.0325 instance_segmentation_loss_cls: 0.0785 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.9118 detection_loss_cls: 0.1386 detection_loss_reg: 0.6072 grounding_loss_reg: 4.8444 +2023/10/07 23:25:10 - mmengine - INFO - Saving checkpoint at 64500 iterations +2023/10/07 23:39:06 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/07 23:39:06 - mmengine - INFO - Iter(train) [ 65000/320000] base_lr: 1.8052e-04 lr: 7.2325e-05 eta: 4 days, 10:04:38 time: 1.8392 data_time: 0.1128 memory: 22135 grad_norm: 1.0326 loss: 1.6280 semantic_segmentation_loss_cls: 0.0202 caption_loss_cls: 3.0273 instance_segmentation_loss_cls: 0.0781 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.9071 detection_loss_cls: 0.1382 detection_loss_reg: 0.6057 grounding_loss_reg: 4.8357 +2023/10/07 23:39:06 - mmengine - INFO - Saving checkpoint at 65000 iterations +2023/10/07 23:54:21 - mmengine - INFO - Iter(train) [ 65500/320000] base_lr: 1.8023e-04 lr: 7.2211e-05 eta: 4 days, 17:44:01 time: 1.8190 data_time: 0.1131 memory: 22135 grad_norm: 1.0225 loss: 1.6187 semantic_segmentation_loss_cls: 0.0202 caption_loss_cls: 3.0247 instance_segmentation_loss_cls: 0.0776 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.9068 detection_loss_cls: 0.1384 detection_loss_reg: 0.6066 grounding_loss_reg: 4.8289 +2023/10/07 23:54:21 - mmengine - INFO - Saving checkpoint at 65500 iterations +2023/10/08 00:11:07 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 00:11:07 - mmengine - INFO - Iter(train) [ 66000/320000] base_lr: 1.7994e-04 lr: 7.2096e-05 eta: 5 days, 0:37:25 time: 1.8221 data_time: 0.1132 memory: 22136 grad_norm: 1.0161 loss: 1.6049 semantic_segmentation_loss_cls: 0.0202 caption_loss_cls: 3.0247 instance_segmentation_loss_cls: 0.0784 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.9080 detection_loss_cls: 0.1384 detection_loss_reg: 0.6071 grounding_loss_reg: 4.8244 +2023/10/08 00:11:07 - mmengine - INFO - Saving checkpoint at 66000 iterations +2023/10/08 00:26:14 - mmengine - INFO - Iter(train) [ 66500/320000] base_lr: 1.7964e-04 lr: 7.1980e-05 eta: 5 days, 1:50:49 time: 1.7917 data_time: 0.1132 memory: 22135 grad_norm: 1.0205 loss: 1.6154 semantic_segmentation_loss_cls: 0.0201 caption_loss_cls: 3.0262 instance_segmentation_loss_cls: 0.0787 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.9093 detection_loss_cls: 0.1381 detection_loss_reg: 0.6075 grounding_loss_reg: 4.8215 +2023/10/08 00:26:14 - mmengine - INFO - Saving checkpoint at 66500 iterations +2023/10/08 00:43:19 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 00:43:19 - mmengine - INFO - Iter(train) [ 67000/320000] base_lr: 1.7934e-04 lr: 7.1863e-05 eta: 5 days, 5:20:55 time: 1.8258 data_time: 0.1140 memory: 22135 grad_norm: 1.0062 loss: 1.6036 semantic_segmentation_loss_cls: 0.0201 caption_loss_cls: 3.0301 instance_segmentation_loss_cls: 0.0786 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.9070 detection_loss_cls: 0.1374 detection_loss_reg: 0.6036 grounding_loss_reg: 4.8180 +2023/10/08 00:43:19 - mmengine - INFO - Saving checkpoint at 67000 iterations +2023/10/08 01:00:18 - mmengine - INFO - Iter(train) [ 67500/320000] base_lr: 1.7905e-04 lr: 7.1746e-05 eta: 5 days, 7:39:13 time: 1.8412 data_time: 0.1143 memory: 22135 grad_norm: 1.0128 loss: 1.6057 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 3.0321 instance_segmentation_loss_cls: 0.0787 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.9059 detection_loss_cls: 0.1376 detection_loss_reg: 0.6051 grounding_loss_reg: 4.8133 +2023/10/08 01:00:18 - mmengine - INFO - Saving checkpoint at 67500 iterations +2023/10/08 01:16:53 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 01:16:53 - mmengine - INFO - Iter(train) [ 68000/320000] base_lr: 1.7875e-04 lr: 7.1628e-05 eta: 5 days, 8:52:51 time: 1.8412 data_time: 0.1128 memory: 22135 grad_norm: 1.0030 loss: 1.5941 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 3.0340 instance_segmentation_loss_cls: 0.0787 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.9066 detection_loss_cls: 0.1376 detection_loss_reg: 0.6059 grounding_loss_reg: 4.8098 +2023/10/08 01:16:53 - mmengine - INFO - Saving checkpoint at 68000 iterations +2023/10/08 01:34:34 - mmengine - INFO - Iter(train) [ 68500/320000] base_lr: 1.7845e-04 lr: 7.1509e-05 eta: 5 days, 10:47:47 time: 1.9409 data_time: 0.1264 memory: 22135 grad_norm: 1.0003 loss: 1.5912 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 3.0274 instance_segmentation_loss_cls: 0.0783 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.9023 detection_loss_cls: 0.1373 detection_loss_reg: 0.6070 grounding_loss_reg: 4.8061 +2023/10/08 01:34:34 - mmengine - INFO - Saving checkpoint at 68500 iterations +2023/10/08 01:52:20 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 01:52:20 - mmengine - INFO - Iter(train) [ 69000/320000] base_lr: 1.7814e-04 lr: 7.1389e-05 eta: 5 days, 12:20:52 time: 1.9984 data_time: 0.1265 memory: 22135 grad_norm: 0.9717 loss: 1.5797 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 3.0263 instance_segmentation_loss_cls: 0.0784 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.9036 detection_loss_cls: 0.1370 detection_loss_reg: 0.6037 grounding_loss_reg: 4.8002 +2023/10/08 01:52:20 - mmengine - INFO - Saving checkpoint at 69000 iterations +2023/10/08 02:09:42 - mmengine - INFO - Iter(train) [ 69500/320000] base_lr: 1.7784e-04 lr: 7.1269e-05 eta: 5 days, 13:15:56 time: 2.0301 data_time: 0.1262 memory: 22135 grad_norm: 0.9747 loss: 1.5922 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 3.0201 instance_segmentation_loss_cls: 0.0779 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.9026 detection_loss_cls: 0.1374 detection_loss_reg: 0.6054 grounding_loss_reg: 4.7963 +2023/10/08 02:09:42 - mmengine - INFO - Saving checkpoint at 69500 iterations +2023/10/08 02:26:38 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 02:26:38 - mmengine - INFO - Iter(train) [ 70000/320000] base_lr: 1.7753e-04 lr: 7.1148e-05 eta: 5 days, 13:40:16 time: 2.0325 data_time: 0.1266 memory: 22135 grad_norm: 0.9743 loss: 1.5942 semantic_segmentation_loss_cls: 0.0198 caption_loss_cls: 3.0172 instance_segmentation_loss_cls: 0.0775 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.9000 detection_loss_cls: 0.1371 detection_loss_reg: 0.6026 grounding_loss_reg: 4.7927 +2023/10/08 02:26:38 - mmengine - INFO - Saving checkpoint at 70000 iterations +2023/10/08 02:44:07 - mmengine - INFO - Iter(train) [ 70500/320000] base_lr: 1.7722e-04 lr: 7.1026e-05 eta: 5 days, 14:19:50 time: 2.0682 data_time: 0.1267 memory: 22135 grad_norm: 0.9654 loss: 1.5790 semantic_segmentation_loss_cls: 0.0198 caption_loss_cls: 3.0115 instance_segmentation_loss_cls: 0.0771 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.8972 detection_loss_cls: 0.1366 detection_loss_reg: 0.5995 grounding_loss_reg: 4.7898 +2023/10/08 02:44:07 - mmengine - INFO - Saving checkpoint at 70500 iterations +2023/10/08 02:59:42 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 02:59:42 - mmengine - INFO - Iter(train) [ 71000/320000] base_lr: 1.7691e-04 lr: 7.0903e-05 eta: 5 days, 13:43:17 time: 2.0456 data_time: 0.1259 memory: 22135 grad_norm: 0.9845 loss: 1.5942 semantic_segmentation_loss_cls: 0.0198 caption_loss_cls: 3.0109 instance_segmentation_loss_cls: 0.0762 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.8935 detection_loss_cls: 0.1371 detection_loss_reg: 0.5999 grounding_loss_reg: 4.7876 +2023/10/08 02:59:42 - mmengine - INFO - Saving checkpoint at 71000 iterations +2023/10/08 03:16:27 - mmengine - INFO - Iter(train) [ 71500/320000] base_lr: 1.7660e-04 lr: 7.0780e-05 eta: 5 days, 13:47:59 time: 2.0419 data_time: 0.1262 memory: 22135 grad_norm: 0.9914 loss: 1.5956 semantic_segmentation_loss_cls: 0.0197 caption_loss_cls: 3.0059 instance_segmentation_loss_cls: 0.0766 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.8958 detection_loss_cls: 0.1372 detection_loss_reg: 0.5997 grounding_loss_reg: 4.7854 +2023/10/08 03:16:27 - mmengine - INFO - Saving checkpoint at 71500 iterations +2023/10/08 03:33:20 - mmengine - INFO - Exp name: univision_joint_all_20231007_224823 +2023/10/08 03:33:20 - mmengine - INFO - Iter(train) [ 72000/320000] base_lr: 1.7628e-04 lr: 7.0656e-05 eta: 5 days, 13:54:24 time: 2.0465 data_time: 0.1262 memory: 22135 grad_norm: 0.9952 loss: 1.6040 semantic_segmentation_loss_cls: 0.0197 caption_loss_cls: 3.0057 instance_segmentation_loss_cls: 0.0769 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.8954 detection_loss_cls: 0.1375 detection_loss_reg: 0.6012 grounding_loss_reg: 4.7798 +2023/10/08 03:33:20 - mmengine - INFO - Saving checkpoint at 72000 iterations +2023/10/08 12:15:27 - mmengine - INFO - Iter(train) [ 72500/320000] base_lr: 1.7596e-04 lr: 7.0531e-05 eta: 3 days, 17:50:24 time: 1.9447 data_time: 0.1124 memory: 22140 grad_norm: 1.0057 loss: 1.6000 semantic_segmentation_loss_cls: 0.0196 caption_loss_cls: 3.0022 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.8948 detection_loss_cls: 0.1372 detection_loss_reg: 0.6013 grounding_loss_reg: 4.7777 +2023/10/08 12:15:27 - mmengine - INFO - Saving checkpoint at 72500 iterations +2023/10/08 12:28:29 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 12:28:29 - mmengine - INFO - Iter(train) [ 73000/320000] base_lr: 1.7565e-04 lr: 7.0406e-05 eta: 4 days, 2:31:44 time: 1.8739 data_time: 0.1122 memory: 22140 grad_norm: 1.0375 loss: 1.6182 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 2.9972 instance_segmentation_loss_cls: 0.0770 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.8957 detection_loss_cls: 0.1369 detection_loss_reg: 0.6005 grounding_loss_reg: 4.7720 +2023/10/08 12:28:29 - mmengine - INFO - Saving checkpoint at 73000 iterations +2023/10/08 12:43:12 - mmengine - INFO - Iter(train) [ 73500/320000] base_lr: 1.7533e-04 lr: 7.0280e-05 eta: 4 days, 9:49:34 time: 1.8338 data_time: 0.1125 memory: 22140 grad_norm: 1.0351 loss: 1.6026 semantic_segmentation_loss_cls: 0.0200 caption_loss_cls: 2.9953 instance_segmentation_loss_cls: 0.0764 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.8934 detection_loss_cls: 0.1365 detection_loss_reg: 0.5991 grounding_loss_reg: 4.7690 +2023/10/08 12:43:12 - mmengine - INFO - Saving checkpoint at 73500 iterations +2023/10/08 12:59:47 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 12:59:47 - mmengine - INFO - Iter(train) [ 74000/320000] base_lr: 1.7500e-04 lr: 7.0153e-05 eta: 4 days, 17:12:24 time: 1.8287 data_time: 0.1125 memory: 22140 grad_norm: 1.0348 loss: 1.6045 semantic_segmentation_loss_cls: 0.0200 caption_loss_cls: 2.9961 instance_segmentation_loss_cls: 0.0775 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.8984 detection_loss_cls: 0.1359 detection_loss_reg: 0.5985 grounding_loss_reg: 4.7637 +2023/10/08 12:59:47 - mmengine - INFO - Saving checkpoint at 74000 iterations +2023/10/08 13:15:15 - mmengine - INFO - Iter(train) [ 74500/320000] base_lr: 1.7468e-04 lr: 7.0026e-05 eta: 4 days, 19:42:20 time: 1.7984 data_time: 0.1123 memory: 22140 grad_norm: 1.0356 loss: 1.6097 semantic_segmentation_loss_cls: 0.0200 caption_loss_cls: 2.9930 instance_segmentation_loss_cls: 0.0778 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.8992 detection_loss_cls: 0.1351 detection_loss_reg: 0.5967 grounding_loss_reg: 4.7595 +2023/10/08 13:15:15 - mmengine - INFO - Saving checkpoint at 74500 iterations +2023/10/08 13:32:52 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 13:32:52 - mmengine - INFO - Iter(train) [ 75000/320000] base_lr: 1.7435e-04 lr: 6.9897e-05 eta: 5 days, 0:11:04 time: 1.8288 data_time: 0.1130 memory: 22140 grad_norm: 1.0159 loss: 1.5941 semantic_segmentation_loss_cls: 0.0200 caption_loss_cls: 2.9862 instance_segmentation_loss_cls: 0.0779 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.8996 detection_loss_cls: 0.1346 detection_loss_reg: 0.5941 grounding_loss_reg: 4.7553 +2023/10/08 13:32:52 - mmengine - INFO - Saving checkpoint at 75000 iterations +2023/10/08 13:49:53 - mmengine - INFO - Iter(train) [ 75500/320000] base_lr: 1.7403e-04 lr: 6.9768e-05 eta: 5 days, 2:37:00 time: 1.8329 data_time: 0.1132 memory: 22140 grad_norm: 1.0101 loss: 1.5878 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 2.9860 instance_segmentation_loss_cls: 0.0777 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.8964 detection_loss_cls: 0.1343 detection_loss_reg: 0.5930 grounding_loss_reg: 4.7493 +2023/10/08 13:49:53 - mmengine - INFO - Saving checkpoint at 75500 iterations +2023/10/08 14:06:32 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 14:06:32 - mmengine - INFO - Iter(train) [ 76000/320000] base_lr: 1.7370e-04 lr: 6.9639e-05 eta: 5 days, 3:59:56 time: 1.8295 data_time: 0.1133 memory: 22140 grad_norm: 1.0150 loss: 1.5840 semantic_segmentation_loss_cls: 0.0199 caption_loss_cls: 2.9894 instance_segmentation_loss_cls: 0.0778 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.8983 detection_loss_cls: 0.1339 detection_loss_reg: 0.5902 grounding_loss_reg: 4.7467 +2023/10/08 14:06:32 - mmengine - INFO - Saving checkpoint at 76000 iterations +2023/10/08 14:24:16 - mmengine - INFO - Iter(train) [ 76500/320000] base_lr: 1.7337e-04 lr: 6.9509e-05 eta: 5 days, 5:59:12 time: 1.9321 data_time: 0.1269 memory: 22140 grad_norm: 1.0228 loss: 1.5874 semantic_segmentation_loss_cls: 0.0198 caption_loss_cls: 2.9927 instance_segmentation_loss_cls: 0.0778 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.8965 detection_loss_cls: 0.1339 detection_loss_reg: 0.5905 grounding_loss_reg: 4.7405 +2023/10/08 14:24:16 - mmengine - INFO - Saving checkpoint at 76500 iterations +2023/10/08 14:42:06 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 14:42:06 - mmengine - INFO - Iter(train) [ 77000/320000] base_lr: 1.7304e-04 lr: 6.9378e-05 eta: 5 days, 7:36:20 time: 2.0041 data_time: 0.1269 memory: 22140 grad_norm: 1.0058 loss: 1.5656 semantic_segmentation_loss_cls: 0.0198 caption_loss_cls: 2.9871 instance_segmentation_loss_cls: 0.0775 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.8967 detection_loss_cls: 0.1346 detection_loss_reg: 0.5931 grounding_loss_reg: 4.7354 +2023/10/08 14:42:06 - mmengine - INFO - Saving checkpoint at 77000 iterations +2023/10/08 14:59:22 - mmengine - INFO - Iter(train) [ 77500/320000] base_lr: 1.7270e-04 lr: 6.9246e-05 eta: 5 days, 8:27:00 time: 2.0424 data_time: 0.1267 memory: 22140 grad_norm: 1.0135 loss: 1.5766 semantic_segmentation_loss_cls: 0.0198 caption_loss_cls: 2.9844 instance_segmentation_loss_cls: 0.0774 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.8981 detection_loss_cls: 0.1348 detection_loss_reg: 0.5938 grounding_loss_reg: 4.7309 +2023/10/08 14:59:22 - mmengine - INFO - Saving checkpoint at 77500 iterations +2023/10/08 15:16:41 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 15:16:41 - mmengine - INFO - Iter(train) [ 78000/320000] base_lr: 1.7237e-04 lr: 6.9114e-05 eta: 5 days, 9:08:35 time: 2.0534 data_time: 0.1265 memory: 22140 grad_norm: 1.0134 loss: 1.5793 semantic_segmentation_loss_cls: 0.0197 caption_loss_cls: 2.9849 instance_segmentation_loss_cls: 0.0772 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.8979 detection_loss_cls: 0.1345 detection_loss_reg: 0.5939 grounding_loss_reg: 4.7276 +2023/10/08 15:16:41 - mmengine - INFO - Saving checkpoint at 78000 iterations +2023/10/08 15:34:06 - mmengine - INFO - Iter(train) [ 78500/320000] base_lr: 1.7203e-04 lr: 6.8981e-05 eta: 5 days, 9:44:55 time: 2.0825 data_time: 0.1268 memory: 22140 grad_norm: 1.0241 loss: 1.5700 semantic_segmentation_loss_cls: 0.0197 caption_loss_cls: 2.9820 instance_segmentation_loss_cls: 0.0766 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.8958 detection_loss_cls: 0.1345 detection_loss_reg: 0.5928 grounding_loss_reg: 4.7265 +2023/10/08 15:34:06 - mmengine - INFO - Saving checkpoint at 78500 iterations +2023/10/08 15:49:49 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 15:49:49 - mmengine - INFO - Iter(train) [ 79000/320000] base_lr: 1.7169e-04 lr: 6.8847e-05 eta: 5 days, 9:14:38 time: 2.0541 data_time: 0.1260 memory: 22140 grad_norm: 1.0333 loss: 1.5795 semantic_segmentation_loss_cls: 0.0197 caption_loss_cls: 2.9776 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.8966 detection_loss_cls: 0.1345 detection_loss_reg: 0.5936 grounding_loss_reg: 4.7224 +2023/10/08 15:49:49 - mmengine - INFO - Saving checkpoint at 79000 iterations +2023/10/08 16:07:31 - mmengine - INFO - Iter(train) [ 79500/320000] base_lr: 1.7135e-04 lr: 6.8712e-05 eta: 5 days, 9:50:10 time: 2.0643 data_time: 0.1257 memory: 22140 grad_norm: 1.7221 loss: 1.5803 semantic_segmentation_loss_cls: 0.0196 caption_loss_cls: 2.9712 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.8972 detection_loss_cls: 0.1342 detection_loss_reg: 0.5920 grounding_loss_reg: 4.7068 +2023/10/08 16:07:31 - mmengine - INFO - Saving checkpoint at 79500 iterations +2023/10/08 16:25:10 - mmengine - INFO - Exp name: univision_joint_all_20231008_113901 +2023/10/08 16:25:10 - mmengine - INFO - Iter(train) [ 80000/320000] base_lr: 1.7100e-04 lr: 6.8577e-05 eta: 5 days, 10:17:50 time: 2.0794 data_time: 0.1259 memory: 22140 grad_norm: 1.7198 loss: 1.5801 semantic_segmentation_loss_cls: 0.0195 caption_loss_cls: 2.9700 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.8982 detection_loss_cls: 0.1337 detection_loss_reg: 0.5901 grounding_loss_reg: 4.6879 +2023/10/08 16:25:10 - mmengine - INFO - Saving checkpoint at 80000 iterations +2023/10/08 16:29:40 - mmengine - INFO - Evaluating bbox... +2023/10/08 16:30:42 - mmengine - INFO - bbox_mAP_copypaste: 0.068 0.106 0.074 0.034 0.086 0.080 +2023/10/08 16:30:42 - mmengine - INFO - Evaluating segm... +2023/10/08 16:31:57 - mmengine - INFO - segm_mAP_copypaste: 0.041 0.082 0.036 0.011 0.056 0.064 +2023/10/08 16:33:12 - mmengine - INFO - Evaluating bbox... +2023/10/08 16:34:19 - mmengine - INFO - bbox_mAP_copypaste: 0.085 0.136 0.091 0.041 0.107 0.111 +2023/10/10 07:41:08 - mmengine - INFO - Iter(train) [ 80500/320000] base_lr: 1.7066e-04 lr: 6.8442e-05 eta: 3 days, 17:35:46 time: 1.9818 data_time: 0.1126 memory: 22133 grad_norm: 1.7034 loss: 1.5781 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9671 instance_segmentation_loss_cls: 0.0773 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.8997 detection_loss_cls: 0.1334 detection_loss_reg: 0.5895 grounding_loss_reg: 4.6750 +2023/10/10 07:41:08 - mmengine - INFO - Saving checkpoint at 80500 iterations +2023/10/10 07:54:14 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 07:54:14 - mmengine - INFO - Iter(train) [ 81000/320000] base_lr: 1.7031e-04 lr: 6.8305e-05 eta: 4 days, 0:50:20 time: 1.9105 data_time: 0.1125 memory: 22133 grad_norm: 1.7041 loss: 1.5912 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9644 instance_segmentation_loss_cls: 0.0770 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.8976 detection_loss_cls: 0.1329 detection_loss_reg: 0.5880 grounding_loss_reg: 4.6532 +2023/10/10 07:54:14 - mmengine - INFO - Saving checkpoint at 81000 iterations +2023/10/10 08:09:13 - mmengine - INFO - Iter(train) [ 81500/320000] base_lr: 1.6997e-04 lr: 6.8168e-05 eta: 4 days, 8:09:02 time: 1.8765 data_time: 0.1137 memory: 22133 grad_norm: 1.6970 loss: 1.5805 semantic_segmentation_loss_cls: 0.0195 caption_loss_cls: 2.9653 instance_segmentation_loss_cls: 0.0769 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.8991 detection_loss_cls: 0.1326 detection_loss_reg: 0.5873 grounding_loss_reg: 4.6401 +2023/10/10 08:09:13 - mmengine - INFO - Saving checkpoint at 81500 iterations +2023/10/10 08:25:15 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 08:25:15 - mmengine - INFO - Iter(train) [ 82000/320000] base_lr: 1.6962e-04 lr: 6.8031e-05 eta: 4 days, 13:44:15 time: 1.8572 data_time: 0.1137 memory: 22133 grad_norm: 1.7001 loss: 1.5735 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9635 instance_segmentation_loss_cls: 0.0775 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.9002 detection_loss_cls: 0.1328 detection_loss_reg: 0.5896 grounding_loss_reg: 4.6297 +2023/10/10 08:25:15 - mmengine - INFO - Saving checkpoint at 82000 iterations +2023/10/10 08:40:37 - mmengine - INFO - Iter(train) [ 82500/320000] base_lr: 1.6927e-04 lr: 6.7892e-05 eta: 4 days, 15:56:26 time: 1.8264 data_time: 0.1133 memory: 22133 grad_norm: 1.6933 loss: 1.5817 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9582 instance_segmentation_loss_cls: 0.0779 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.9018 detection_loss_cls: 0.1326 detection_loss_reg: 0.5912 grounding_loss_reg: 4.6214 +2023/10/10 08:40:37 - mmengine - INFO - Saving checkpoint at 82500 iterations +2023/10/10 08:56:58 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 08:56:58 - mmengine - INFO - Iter(train) [ 83000/320000] base_lr: 1.6891e-04 lr: 6.7753e-05 eta: 4 days, 18:37:09 time: 1.8361 data_time: 0.1138 memory: 22133 grad_norm: 5.1679 loss: 1.6238 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9542 instance_segmentation_loss_cls: 0.0778 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.9034 detection_loss_cls: 0.1318 detection_loss_reg: 0.5888 grounding_loss_reg: 4.6652 +2023/10/10 08:56:58 - mmengine - INFO - Saving checkpoint at 83000 iterations +2023/10/10 09:13:52 - mmengine - INFO - Iter(train) [ 83500/320000] base_lr: 1.6856e-04 lr: 6.7614e-05 eta: 4 days, 21:03:40 time: 1.8240 data_time: 0.1143 memory: 22133 grad_norm: 4.4787 loss: 1.6220 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9552 instance_segmentation_loss_cls: 0.0776 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.9040 detection_loss_cls: 0.1318 detection_loss_reg: 0.5886 grounding_loss_reg: 4.6507 +2023/10/10 09:13:52 - mmengine - INFO - Saving checkpoint at 83500 iterations +2023/10/10 09:30:50 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 09:30:50 - mmengine - INFO - Iter(train) [ 84000/320000] base_lr: 1.6820e-04 lr: 6.7474e-05 eta: 4 days, 22:53:57 time: 1.8137 data_time: 0.1141 memory: 22133 grad_norm: 4.4651 loss: 1.6068 semantic_segmentation_loss_cls: 0.0193 caption_loss_cls: 2.9460 instance_segmentation_loss_cls: 0.0775 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.9024 detection_loss_cls: 0.1311 detection_loss_reg: 0.5867 grounding_loss_reg: 4.6429 +2023/10/10 09:30:50 - mmengine - INFO - Saving checkpoint at 84000 iterations +2023/10/10 09:48:00 - mmengine - INFO - Iter(train) [ 84500/320000] base_lr: 1.6784e-04 lr: 6.7333e-05 eta: 5 days, 0:26:03 time: 1.9028 data_time: 0.1271 memory: 22133 grad_norm: 4.5059 loss: 1.6057 semantic_segmentation_loss_cls: 0.0194 caption_loss_cls: 2.9472 instance_segmentation_loss_cls: 0.0778 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.9017 detection_loss_cls: 0.1305 detection_loss_reg: 0.5855 grounding_loss_reg: 4.6331 +2023/10/10 09:48:00 - mmengine - INFO - Saving checkpoint at 84500 iterations +2023/10/10 10:05:23 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 10:05:23 - mmengine - INFO - Iter(train) [ 85000/320000] base_lr: 1.6749e-04 lr: 6.7191e-05 eta: 5 days, 1:46:18 time: 1.9671 data_time: 0.1276 memory: 22133 grad_norm: 4.6981 loss: 1.6096 semantic_segmentation_loss_cls: 0.0193 caption_loss_cls: 2.9470 instance_segmentation_loss_cls: 0.0769 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.8969 detection_loss_cls: 0.1305 detection_loss_reg: 0.5845 grounding_loss_reg: 4.6401 +2023/10/10 10:05:23 - mmengine - INFO - Saving checkpoint at 85000 iterations +2023/10/10 10:22:42 - mmengine - INFO - Iter(train) [ 85500/320000] base_lr: 1.6712e-04 lr: 6.7049e-05 eta: 5 days, 2:45:54 time: 2.0019 data_time: 0.1276 memory: 22133 grad_norm: 4.7321 loss: 1.6365 semantic_segmentation_loss_cls: 0.0193 caption_loss_cls: 2.9451 instance_segmentation_loss_cls: 0.0768 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.8955 detection_loss_cls: 0.1312 detection_loss_reg: 0.5872 grounding_loss_reg: 4.6472 +2023/10/10 10:22:42 - mmengine - INFO - Saving checkpoint at 85500 iterations +2023/10/10 10:39:54 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 10:39:54 - mmengine - INFO - Iter(train) [ 86000/320000] base_lr: 1.6676e-04 lr: 6.6906e-05 eta: 5 days, 3:28:33 time: 2.0195 data_time: 0.1277 memory: 22133 grad_norm: 4.7469 loss: 1.6416 semantic_segmentation_loss_cls: 0.0193 caption_loss_cls: 2.9437 instance_segmentation_loss_cls: 0.0767 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.8961 detection_loss_cls: 0.1309 detection_loss_reg: 0.5861 grounding_loss_reg: 4.6388 +2023/10/10 10:39:54 - mmengine - INFO - Saving checkpoint at 86000 iterations +2023/10/10 10:57:45 - mmengine - INFO - Iter(train) [ 86500/320000] base_lr: 1.6640e-04 lr: 6.6763e-05 eta: 5 days, 4:25:16 time: 2.0567 data_time: 0.1277 memory: 22133 grad_norm: 4.7481 loss: 1.6287 semantic_segmentation_loss_cls: 0.0193 caption_loss_cls: 2.9384 instance_segmentation_loss_cls: 0.0759 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.8924 detection_loss_cls: 0.1304 detection_loss_reg: 0.5842 grounding_loss_reg: 4.6304 +2023/10/10 10:57:45 - mmengine - INFO - Saving checkpoint at 86500 iterations +2023/10/10 11:13:54 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 11:13:54 - mmengine - INFO - Iter(train) [ 87000/320000] base_lr: 1.6603e-04 lr: 6.6619e-05 eta: 5 days, 4:15:01 time: 2.0538 data_time: 0.1278 memory: 22133 grad_norm: 1.2715 loss: 1.5772 semantic_segmentation_loss_cls: 0.0193 caption_loss_cls: 2.9260 instance_segmentation_loss_cls: 0.0755 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.8895 detection_loss_cls: 0.1302 detection_loss_reg: 0.5833 grounding_loss_reg: 4.6211 +2023/10/10 11:13:55 - mmengine - INFO - Saving checkpoint at 87000 iterations +2023/10/10 11:31:00 - mmengine - INFO - Iter(train) [ 87500/320000] base_lr: 1.6566e-04 lr: 6.6474e-05 eta: 5 days, 4:33:05 time: 2.0568 data_time: 0.1279 memory: 22133 grad_norm: 1.2685 loss: 1.5814 semantic_segmentation_loss_cls: 0.0192 caption_loss_cls: 2.9279 instance_segmentation_loss_cls: 0.0755 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.8891 detection_loss_cls: 0.1304 detection_loss_reg: 0.5850 grounding_loss_reg: 4.6107 +2023/10/10 11:31:00 - mmengine - INFO - Saving checkpoint at 87500 iterations +2023/10/10 11:48:18 - mmengine - INFO - Exp name: univision_joint_all_20231010_070359 +2023/10/10 11:48:18 - mmengine - INFO - Iter(train) [ 88000/320000] base_lr: 1.6530e-04 lr: 6.6329e-05 eta: 5 days, 4:52:15 time: 2.0616 data_time: 0.1280 memory: 22133 grad_norm: 1.2888 loss: 1.5925 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9252 instance_segmentation_loss_cls: 0.0758 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.8926 detection_loss_cls: 0.1303 detection_loss_reg: 0.5843 grounding_loss_reg: 4.6011 +2023/10/10 11:48:18 - mmengine - INFO - Saving checkpoint at 88000 iterations +2023/10/12 01:33:19 - mmengine - INFO - Iter(train) [ 88500/320000] base_lr: 1.6493e-04 lr: 6.6183e-05 eta: 3 days, 9:55:49 time: 1.9634 data_time: 0.1150 memory: 22134 grad_norm: 1.2699 loss: 1.5885 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9224 instance_segmentation_loss_cls: 0.0757 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.8948 detection_loss_cls: 0.1282 detection_loss_reg: 0.5796 grounding_loss_reg: 4.5933 +2023/10/12 01:33:19 - mmengine - INFO - Saving checkpoint at 88500 iterations +2023/10/12 01:45:39 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 01:45:39 - mmengine - INFO - Iter(train) [ 89000/320000] base_lr: 1.6455e-04 lr: 6.6036e-05 eta: 3 days, 16:21:16 time: 1.8877 data_time: 0.1147 memory: 22134 grad_norm: 1.0976 loss: 1.5820 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9145 instance_segmentation_loss_cls: 0.0753 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.8943 detection_loss_cls: 0.1263 detection_loss_reg: 0.5754 grounding_loss_reg: 4.5809 +2023/10/12 01:45:39 - mmengine - INFO - Saving checkpoint at 89000 iterations +2023/10/12 02:00:05 - mmengine - INFO - Iter(train) [ 89500/320000] base_lr: 1.6418e-04 lr: 6.5889e-05 eta: 3 days, 23:44:13 time: 1.8446 data_time: 0.1138 memory: 22134 grad_norm: 1.0717 loss: 1.5469 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9117 instance_segmentation_loss_cls: 0.0746 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.8947 detection_loss_cls: 0.1246 detection_loss_reg: 0.5732 grounding_loss_reg: 4.5705 +2023/10/12 02:00:05 - mmengine - INFO - Saving checkpoint at 89500 iterations +2023/10/12 02:16:39 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 02:16:39 - mmengine - INFO - Iter(train) [ 90000/320000] base_lr: 1.6381e-04 lr: 6.5742e-05 eta: 4 days, 7:24:20 time: 1.8351 data_time: 0.1135 memory: 22134 grad_norm: 1.0573 loss: 1.5264 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9095 instance_segmentation_loss_cls: 0.0747 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.8968 detection_loss_cls: 0.1224 detection_loss_reg: 0.5660 grounding_loss_reg: 4.5645 +2023/10/12 02:16:39 - mmengine - INFO - Saving checkpoint at 90000 iterations +2023/10/12 02:32:44 - mmengine - INFO - Iter(train) [ 90500/320000] base_lr: 1.6343e-04 lr: 6.5593e-05 eta: 4 days, 11:08:36 time: 1.8085 data_time: 0.1131 memory: 22134 grad_norm: 1.0578 loss: 1.5318 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9034 instance_segmentation_loss_cls: 0.0746 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.8979 detection_loss_cls: 0.1194 detection_loss_reg: 0.5586 grounding_loss_reg: 4.5598 +2023/10/12 02:32:44 - mmengine - INFO - Saving checkpoint at 90500 iterations +2023/10/12 02:49:36 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 02:49:36 - mmengine - INFO - Iter(train) [ 91000/320000] base_lr: 1.6305e-04 lr: 6.5444e-05 eta: 4 days, 14:32:34 time: 1.8191 data_time: 0.1129 memory: 22134 grad_norm: 1.0461 loss: 1.5305 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9053 instance_segmentation_loss_cls: 0.0746 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.9030 detection_loss_cls: 0.1173 detection_loss_reg: 0.5534 grounding_loss_reg: 4.5525 +2023/10/12 02:49:36 - mmengine - INFO - Saving checkpoint at 91000 iterations +2023/10/12 03:05:31 - mmengine - INFO - Iter(train) [ 91500/320000] base_lr: 1.6267e-04 lr: 6.5295e-05 eta: 4 days, 15:51:42 time: 1.8014 data_time: 0.1126 memory: 22134 grad_norm: 1.0549 loss: 1.5156 semantic_segmentation_loss_cls: 0.0191 caption_loss_cls: 2.9030 instance_segmentation_loss_cls: 0.0736 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.8996 detection_loss_cls: 0.1160 detection_loss_reg: 0.5511 grounding_loss_reg: 4.5426 +2023/10/12 03:05:31 - mmengine - INFO - Saving checkpoint at 91500 iterations +2023/10/12 03:21:52 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 03:21:52 - mmengine - INFO - Iter(train) [ 92000/320000] base_lr: 1.6229e-04 lr: 6.5145e-05 eta: 4 days, 17:12:20 time: 1.7875 data_time: 0.1128 memory: 22134 grad_norm: 1.0396 loss: 1.5014 semantic_segmentation_loss_cls: 0.0190 caption_loss_cls: 2.8960 instance_segmentation_loss_cls: 0.0733 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.9022 detection_loss_cls: 0.1141 detection_loss_reg: 0.5458 grounding_loss_reg: 4.5361 +2023/10/12 03:21:52 - mmengine - INFO - Saving checkpoint at 92000 iterations +2023/10/12 03:38:44 - mmengine - INFO - Iter(train) [ 92500/320000] base_lr: 1.6191e-04 lr: 6.4994e-05 eta: 4 days, 18:36:26 time: 1.8810 data_time: 0.1257 memory: 22134 grad_norm: 1.0204 loss: 1.5032 semantic_segmentation_loss_cls: 0.0190 caption_loss_cls: 2.8959 instance_segmentation_loss_cls: 0.0728 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.9036 detection_loss_cls: 0.1124 detection_loss_reg: 0.5425 grounding_loss_reg: 4.5291 +2023/10/12 03:38:44 - mmengine - INFO - Saving checkpoint at 92500 iterations +2023/10/12 03:55:44 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 03:55:44 - mmengine - INFO - Iter(train) [ 93000/320000] base_lr: 1.6152e-04 lr: 6.4843e-05 eta: 4 days, 19:46:44 time: 1.9509 data_time: 0.1255 memory: 22134 grad_norm: 0.9979 loss: 1.4841 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8867 instance_segmentation_loss_cls: 0.0726 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.9068 detection_loss_cls: 0.1107 detection_loss_reg: 0.5376 grounding_loss_reg: 4.5203 +2023/10/12 03:55:44 - mmengine - INFO - Saving checkpoint at 93000 iterations +2023/10/12 04:11:50 - mmengine - INFO - Iter(train) [ 93500/320000] base_lr: 1.6114e-04 lr: 6.4691e-05 eta: 4 days, 20:04:35 time: 1.9761 data_time: 0.1257 memory: 22134 grad_norm: 1.0038 loss: 1.4948 semantic_segmentation_loss_cls: 0.0190 caption_loss_cls: 2.8836 instance_segmentation_loss_cls: 0.0724 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.9109 detection_loss_cls: 0.1092 detection_loss_reg: 0.5353 grounding_loss_reg: 4.5127 +2023/10/12 04:11:50 - mmengine - INFO - Saving checkpoint at 93500 iterations +2023/10/12 04:28:20 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 04:28:20 - mmengine - INFO - Iter(train) [ 94000/320000] base_lr: 1.6075e-04 lr: 6.4539e-05 eta: 4 days, 20:31:27 time: 1.9749 data_time: 0.1255 memory: 21618 grad_norm: 1.0021 loss: 1.5050 semantic_segmentation_loss_cls: 0.0190 caption_loss_cls: 2.8767 instance_segmentation_loss_cls: 0.0716 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.9108 detection_loss_cls: 0.1074 detection_loss_reg: 0.5303 grounding_loss_reg: 4.5066 +2023/10/12 04:28:20 - mmengine - INFO - Saving checkpoint at 94000 iterations +2023/10/12 04:44:57 - mmengine - INFO - Iter(train) [ 94500/320000] base_lr: 1.6036e-04 lr: 6.4386e-05 eta: 4 days, 20:55:57 time: 1.9831 data_time: 0.1260 memory: 22134 grad_norm: 1.0144 loss: 1.5098 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8700 instance_segmentation_loss_cls: 0.0713 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.9148 detection_loss_cls: 0.1059 detection_loss_reg: 0.5274 grounding_loss_reg: 4.5026 +2023/10/12 04:44:57 - mmengine - INFO - Saving checkpoint at 94500 iterations +2023/10/12 04:59:21 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 04:59:21 - mmengine - INFO - Iter(train) [ 95000/320000] base_lr: 1.5998e-04 lr: 6.4233e-05 eta: 4 days, 20:02:58 time: 1.9460 data_time: 0.1255 memory: 22134 grad_norm: 1.0271 loss: 1.5105 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8617 instance_segmentation_loss_cls: 0.0708 instance_segmentation_loss_reg: 0.3039 instance_segmentation_loss_poly: 0.9132 detection_loss_cls: 0.1041 detection_loss_reg: 0.5222 grounding_loss_reg: 4.4987 +2023/10/12 04:59:21 - mmengine - INFO - Saving checkpoint at 95000 iterations +2023/10/12 05:14:46 - mmengine - INFO - Iter(train) [ 95500/320000] base_lr: 1.5958e-04 lr: 6.4079e-05 eta: 4 days, 19:45:42 time: 1.9385 data_time: 0.1257 memory: 22134 grad_norm: 1.0193 loss: 1.5178 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8632 instance_segmentation_loss_cls: 0.0706 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.9163 detection_loss_cls: 0.1023 detection_loss_reg: 0.5171 grounding_loss_reg: 4.4906 +2023/10/12 05:14:46 - mmengine - INFO - Saving checkpoint at 95500 iterations +2023/10/12 05:30:22 - mmengine - INFO - Exp name: univision_joint_all_20231012_005720 +2023/10/12 05:30:22 - mmengine - INFO - Iter(train) [ 96000/320000] base_lr: 1.5919e-04 lr: 6.3924e-05 eta: 4 days, 19:33:49 time: 1.9271 data_time: 0.1250 memory: 22134 grad_norm: 1.0268 loss: 1.5262 semantic_segmentation_loss_cls: 0.0188 caption_loss_cls: 2.8604 instance_segmentation_loss_cls: 0.0706 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.9181 detection_loss_cls: 0.1006 detection_loss_reg: 0.5116 grounding_loss_reg: 4.4851 +2023/10/12 05:30:22 - mmengine - INFO - Saving checkpoint at 96000 iterations +2023/10/14 19:28:03 - mmengine - INFO - Iter(train) [ 96500/320000] base_lr: 1.5880e-04 lr: 6.3769e-05 eta: 3 days, 9:25:37 time: 1.8382 data_time: 0.1121 memory: 22142 grad_norm: 1.1217 loss: 1.5322 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8563 instance_segmentation_loss_cls: 0.0714 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.9210 detection_loss_cls: 0.1056 detection_loss_reg: 0.5099 grounding_loss_reg: 4.4815 +2023/10/14 19:28:03 - mmengine - INFO - Saving checkpoint at 96500 iterations +2023/10/14 19:40:33 - mmengine - INFO - Exp name: univision_joint_all_20231014_185147 +2023/10/14 19:40:33 - mmengine - INFO - Iter(train) [ 97000/320000] base_lr: 1.5840e-04 lr: 6.3613e-05 eta: 3 days, 15:02:12 time: 1.7706 data_time: 0.1122 memory: 22142 grad_norm: 1.1369 loss: 1.5500 semantic_segmentation_loss_cls: 0.0188 caption_loss_cls: 2.8533 instance_segmentation_loss_cls: 0.0710 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 0.9216 detection_loss_cls: 0.1041 detection_loss_reg: 0.5067 grounding_loss_reg: 4.4759 +2023/10/14 19:40:33 - mmengine - INFO - Saving checkpoint at 97000 iterations +2023/10/14 19:54:19 - mmengine - INFO - Iter(train) [ 97500/320000] base_lr: 1.5801e-04 lr: 6.3457e-05 eta: 3 days, 19:55:49 time: 1.7356 data_time: 0.1116 memory: 22142 grad_norm: 1.1229 loss: 1.5368 semantic_segmentation_loss_cls: 0.0188 caption_loss_cls: 2.8525 instance_segmentation_loss_cls: 0.0704 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 0.9201 detection_loss_cls: 0.1025 detection_loss_reg: 0.5016 grounding_loss_reg: 4.4692 +2023/10/14 19:54:19 - mmengine - INFO - Saving checkpoint at 97500 iterations +2023/10/14 20:10:33 - mmengine - INFO - Exp name: univision_joint_all_20231014_185147 +2023/10/14 20:10:33 - mmengine - INFO - Iter(train) [ 98000/320000] base_lr: 1.5761e-04 lr: 6.3300e-05 eta: 4 days, 2:48:31 time: 1.7315 data_time: 0.1133 memory: 22142 grad_norm: 1.1134 loss: 1.5191 semantic_segmentation_loss_cls: 0.0188 caption_loss_cls: 2.8468 instance_segmentation_loss_cls: 0.0704 instance_segmentation_loss_reg: 0.3106 instance_segmentation_loss_poly: 0.9207 detection_loss_cls: 0.1004 detection_loss_reg: 0.4954 grounding_loss_reg: 4.4647 +2023/10/14 20:10:33 - mmengine - INFO - Saving checkpoint at 98000 iterations +2023/10/14 20:51:28 - mmengine - INFO - Iter(train) [ 98500/320000] base_lr: 1.5721e-04 lr: 6.3143e-05 eta: 3 days, 2:16:21 time: 1.6331 data_time: 0.1005 memory: 22137 grad_norm: 1.1024 loss: 1.5076 semantic_segmentation_loss_cls: 0.0187 caption_loss_cls: 2.8395 instance_segmentation_loss_cls: 0.0703 instance_segmentation_loss_reg: 0.3124 instance_segmentation_loss_poly: 0.9237 detection_loss_cls: 0.0976 detection_loss_reg: 0.4880 grounding_loss_reg: 4.4590 +2023/10/14 20:51:28 - mmengine - INFO - Saving checkpoint at 98500 iterations +2023/10/14 21:03:37 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/14 21:03:37 - mmengine - INFO - Iter(train) [ 99000/320000] base_lr: 1.5681e-04 lr: 6.2985e-05 eta: 3 days, 9:46:57 time: 1.5994 data_time: 0.1009 memory: 22137 grad_norm: 1.1067 loss: 1.5168 semantic_segmentation_loss_cls: 0.0187 caption_loss_cls: 2.8355 instance_segmentation_loss_cls: 0.0700 instance_segmentation_loss_reg: 0.3135 instance_segmentation_loss_poly: 0.9260 detection_loss_cls: 0.0962 detection_loss_reg: 0.4850 grounding_loss_reg: 4.4488 +2023/10/14 21:03:37 - mmengine - INFO - Saving checkpoint at 99000 iterations +2023/10/14 21:16:59 - mmengine - INFO - Iter(train) [ 99500/320000] base_lr: 1.5641e-04 lr: 6.2826e-05 eta: 3 days, 15:08:46 time: 1.5687 data_time: 0.1009 memory: 22137 grad_norm: 1.0912 loss: 1.4924 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8279 instance_segmentation_loss_cls: 0.0693 instance_segmentation_loss_reg: 0.3137 instance_segmentation_loss_poly: 0.9245 detection_loss_cls: 0.0945 detection_loss_reg: 0.4814 grounding_loss_reg: 4.4407 +2023/10/14 21:16:59 - mmengine - INFO - Saving checkpoint at 99500 iterations +2023/10/14 21:32:47 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/14 21:32:47 - mmengine - INFO - Iter(train) [100000/320000] base_lr: 1.5600e-04 lr: 6.2668e-05 eta: 3 days, 22:10:40 time: 1.5717 data_time: 0.1022 memory: 22137 grad_norm: 1.0740 loss: 1.4717 semantic_segmentation_loss_cls: 0.0189 caption_loss_cls: 2.8236 instance_segmentation_loss_cls: 0.0691 instance_segmentation_loss_reg: 0.3156 instance_segmentation_loss_poly: 0.9257 detection_loss_cls: 0.0928 detection_loss_reg: 0.4775 grounding_loss_reg: 4.4370 +2023/10/14 21:32:47 - mmengine - INFO - Saving checkpoint at 100000 iterations +2023/10/14 21:37:16 - mmengine - INFO - Evaluating bbox... +2023/10/14 21:38:19 - mmengine - INFO - bbox_mAP_copypaste: 0.223 0.362 0.238 0.127 0.267 0.287 +2023/10/14 21:38:19 - mmengine - INFO - Evaluating segm... +2023/10/14 21:39:37 - mmengine - INFO - segm_mAP_copypaste: 0.120 0.269 0.089 0.049 0.154 0.199 +2023/10/14 21:40:53 - mmengine - INFO - Evaluating bbox... +2023/10/14 21:41:57 - mmengine - INFO - bbox_mAP_copypaste: 0.229 0.370 0.242 0.133 0.273 0.294 +2023/10/14 21:44:03 - mmengine - INFO - per class results: +2023/10/14 21:44:03 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 66.22 | 84.39 | +| building | 76.95 | 89.49 | +| sky | 91.49 | 97.23 | +| floor | 73.37 | 86.87 | +| tree | 66.52 | 84.41 | +| ceiling | 73.78 | 87.54 | +| road | 72.87 | 87.74 | +| bed | 74.1 | 89.57 | +| windowpane | 44.45 | 53.45 | +| grass | 61.14 | 87.9 | +| cabinet | 45.19 | 53.75 | +| sidewalk | 51.77 | 67.53 | +| person | 70.88 | 89.33 | +| earth | 28.53 | 43.86 | +| door | 19.01 | 22.96 | +| table | 36.7 | 60.77 | +| mountain | 44.04 | 50.78 | +| plant | 42.78 | 56.86 | +| curtain | 47.57 | 56.64 | +| chair | 38.61 | 65.2 | +| car | 74.74 | 85.07 | +| water | 45.78 | 61.15 | +| painting | 55.86 | 80.25 | +| sofa | 42.65 | 50.6 | +| shelf | 27.76 | 64.89 | +| house | 38.34 | 50.85 | +| sea | 47.93 | 69.4 | +| mirror | 36.45 | 54.6 | +| rug | 38.57 | 46.38 | +| field | 13.94 | 17.37 | +| armchair | 27.65 | 44.04 | +| seat | 44.51 | 63.61 | +| fence | 25.56 | 41.85 | +| desk | 22.17 | 45.4 | +| rock | 47.33 | 62.8 | +| wardrobe | 32.86 | 38.24 | +| lamp | 39.67 | 58.41 | +| bathtub | 44.69 | 48.8 | +| railing | 16.2 | 36.49 | +| cushion | 34.45 | 59.87 | +| base | 8.13 | 13.78 | +| box | 11.93 | 15.41 | +| column | 31.11 | 38.2 | +| signboard | 24.86 | 29.65 | +| chest of drawers | 2.69 | 2.78 | +| counter | 9.81 | 14.21 | +| sand | 32.42 | 42.72 | +| sink | 39.3 | 48.0 | +| skyscraper | 35.98 | 40.51 | +| fireplace | 38.89 | 50.52 | +| refrigerator | 43.74 | 63.62 | +| grandstand | 28.29 | 41.62 | +| path | 7.95 | 9.33 | +| stairs | 29.48 | 47.36 | +| runway | 40.2 | 42.62 | +| case | 44.9 | 48.13 | +| pool table | 78.63 | 83.24 | +| pillow | 0.87 | 0.87 | +| screen door | 0.52 | 0.52 | +| stairway | 18.74 | 21.89 | +| river | 10.08 | 12.87 | +| bridge | 30.08 | 47.95 | +| bookcase | 30.06 | 55.66 | +| blind | 19.57 | 23.88 | +| coffee table | 28.0 | 33.15 | +| toilet | 68.8 | 81.55 | +| flower | 19.0 | 22.67 | +| book | 24.62 | 28.82 | +| hill | 2.82 | 3.19 | +| bench | 25.25 | 29.87 | +| countertop | 21.64 | 69.32 | +| stove | 39.65 | 55.58 | +| palm | 27.32 | 32.98 | +| kitchen island | 16.73 | 20.71 | +| computer | 39.77 | 47.37 | +| swivel chair | 27.56 | 38.54 | +| boat | 39.31 | 90.71 | +| bar | 5.9 | 6.11 | +| arcade machine | 6.14 | 9.11 | +| hovel | 24.62 | 33.67 | +| bus | 67.57 | 87.56 | +| towel | 33.97 | 38.53 | +| light | 24.83 | 35.13 | +| truck | 21.6 | 58.27 | +| tower | 11.4 | 11.95 | +| chandelier | 39.95 | 45.67 | +| awning | 10.42 | 13.64 | +| streetlight | 0.1 | 0.1 | +| booth | 11.5 | 17.01 | +| television receiver | 43.56 | 56.55 | +| airplane | 52.8 | 60.98 | +| dirt track | 0.88 | 7.4 | +| apparel | 20.21 | 33.33 | +| pole | 20.29 | 39.79 | +| land | 0.0 | 0.0 | +| bannister | 0.0 | 0.0 | +| escalator | 0.0 | 0.0 | +| ottoman | 16.06 | 28.6 | +| bottle | 6.96 | 7.25 | +| buffet | 15.16 | 15.87 | +| poster | 0.52 | 0.59 | +| stage | 5.55 | 7.51 | +| van | 19.75 | 21.35 | +| ship | 1.16 | 1.21 | +| fountain | 9.82 | 10.2 | +| conveyer belt | 37.21 | 53.97 | +| canopy | 13.63 | 14.75 | +| washer | 26.48 | 28.05 | +| plaything | 10.73 | 29.51 | +| swimming pool | 16.08 | 29.49 | +| stool | 5.02 | 5.14 | +| barrel | 0.0 | 0.0 | +| basket | 20.41 | 25.35 | +| waterfall | 45.95 | 70.11 | +| tent | 82.18 | 93.0 | +| bag | 8.41 | 9.44 | +| minibike | 17.59 | 18.5 | +| cradle | 48.72 | 59.53 | +| oven | 10.51 | 24.63 | +| ball | 35.5 | 47.47 | +| food | 50.47 | 65.96 | +| step | 0.0 | 0.0 | +| tank | 8.97 | 12.89 | +| trade name | 0.0 | 0.0 | +| microwave | 63.16 | 83.89 | +| pot | 24.72 | 28.93 | +| animal | 38.49 | 39.67 | +| bicycle | 41.16 | 58.16 | +| lake | 0.0 | 0.0 | +| dishwasher | 0.0 | 0.0 | +| screen | 46.64 | 53.86 | +| blanket | 0.0 | 0.0 | +| sculpture | 31.25 | 35.48 | +| hood | 16.89 | 17.89 | +| sconce | 0.07 | 0.07 | +| vase | 21.58 | 34.91 | +| traffic light | 15.52 | 16.93 | +| tray | 1.71 | 2.02 | +| ashcan | 22.58 | 36.7 | +| fan | 26.49 | 33.96 | +| pier | 18.32 | 50.3 | +| crt screen | 4.04 | 5.37 | +| plate | 36.63 | 45.08 | +| monitor | 2.47 | 2.75 | +| bulletin board | 4.64 | 5.91 | +| shower | 0.0 | 0.0 | +| radiator | 10.96 | 11.68 | +| glass | 6.65 | 7.31 | +| clock | 11.48 | 12.42 | +| flag | 26.01 | 27.62 | ++---------------------+-------+-------+ +2023/10/14 21:44:13 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.2290 coco/bbox_mAP_50: 0.3700 coco/bbox_mAP_75: 0.2420 coco/bbox_mAP_s: 0.1330 coco/bbox_mAP_m: 0.2730 coco/bbox_mAP_l: 0.2940 coco/segm_mAP: 0.1200 coco/segm_mAP_50: 0.2690 coco/segm_mAP_75: 0.0890 coco/segm_mAP_s: 0.0490 coco/segm_mAP_m: 0.1540 coco/segm_mAP_l: 0.1990 Bleu_1: 0.6501 Bleu_2: 0.4697 Bleu_3: 0.3363 Bleu_4: 0.2399 METEOR: 0.2166 ROUGE_L: 0.4859 CIDEr: 0.7422 SPICE: 0.1512 aAcc: 74.2700 mIoU: 28.4100 mAcc: 37.9500 visual-grounding/miou: 0.4320 visual-grounding/acc: 0.4275 data_time: 0.0438 time: 0.5373 +2023/10/14 21:57:56 - mmengine - INFO - Iter(train) [100500/320000] base_lr: 1.5560e-04 lr: 6.2508e-05 eta: 3 days, 23:17:49 time: 1.6141 data_time: 0.1039 memory: 22137 grad_norm: 0.9915 loss: 1.4574 semantic_segmentation_loss_cls: 0.0186 caption_loss_cls: 2.8196 instance_segmentation_loss_cls: 0.0688 instance_segmentation_loss_reg: 0.3164 instance_segmentation_loss_poly: 0.9243 detection_loss_cls: 0.0906 detection_loss_reg: 0.4720 grounding_loss_reg: 4.4346 +2023/10/14 21:57:56 - mmengine - INFO - Saving checkpoint at 100500 iterations +2023/10/14 22:13:19 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/14 22:13:19 - mmengine - INFO - Iter(train) [101000/320000] base_lr: 1.5519e-04 lr: 6.2348e-05 eta: 4 days, 1:55:58 time: 1.6573 data_time: 0.1040 memory: 22137 grad_norm: 0.9745 loss: 1.4258 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.8115 instance_segmentation_loss_cls: 0.0678 instance_segmentation_loss_reg: 0.3156 instance_segmentation_loss_poly: 0.9230 detection_loss_cls: 0.0889 detection_loss_reg: 0.4672 grounding_loss_reg: 4.4295 +2023/10/14 22:13:19 - mmengine - INFO - Saving checkpoint at 101000 iterations +2023/10/14 22:29:31 - mmengine - INFO - Iter(train) [101500/320000] base_lr: 1.5478e-04 lr: 6.2188e-05 eta: 4 days, 4:36:45 time: 1.6939 data_time: 0.1072 memory: 22137 grad_norm: 1.0015 loss: 1.4336 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.8065 instance_segmentation_loss_cls: 0.0674 instance_segmentation_loss_reg: 0.3169 instance_segmentation_loss_poly: 0.9255 detection_loss_cls: 0.0889 detection_loss_reg: 0.4674 grounding_loss_reg: 4.4227 +2023/10/14 22:29:31 - mmengine - INFO - Saving checkpoint at 101500 iterations +2023/10/14 22:45:04 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/14 22:45:04 - mmengine - INFO - Iter(train) [102000/320000] base_lr: 1.5438e-04 lr: 6.2027e-05 eta: 4 days, 5:57:29 time: 1.6837 data_time: 0.1067 memory: 22137 grad_norm: 1.0160 loss: 1.4485 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.8006 instance_segmentation_loss_cls: 0.0672 instance_segmentation_loss_reg: 0.3193 instance_segmentation_loss_poly: 0.9296 detection_loss_cls: 0.0884 detection_loss_reg: 0.4652 grounding_loss_reg: 4.4177 +2023/10/14 22:45:04 - mmengine - INFO - Saving checkpoint at 102000 iterations +2023/10/14 23:01:00 - mmengine - INFO - Iter(train) [102500/320000] base_lr: 1.5397e-04 lr: 6.1865e-05 eta: 4 days, 7:14:59 time: 1.7717 data_time: 0.1200 memory: 22137 grad_norm: 1.0132 loss: 1.4478 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.7955 instance_segmentation_loss_cls: 0.0664 instance_segmentation_loss_reg: 0.3196 instance_segmentation_loss_poly: 0.9289 detection_loss_cls: 0.0881 detection_loss_reg: 0.4641 grounding_loss_reg: 4.4114 +2023/10/14 23:01:00 - mmengine - INFO - Saving checkpoint at 102500 iterations +2023/10/14 23:17:28 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/14 23:17:28 - mmengine - INFO - Iter(train) [103000/320000] base_lr: 1.5355e-04 lr: 6.1703e-05 eta: 4 days, 8:37:23 time: 1.8366 data_time: 0.1219 memory: 22137 grad_norm: 1.0038 loss: 1.4254 semantic_segmentation_loss_cls: 0.0183 caption_loss_cls: 2.7886 instance_segmentation_loss_cls: 0.0660 instance_segmentation_loss_reg: 0.3203 instance_segmentation_loss_poly: 0.9272 detection_loss_cls: 0.0878 detection_loss_reg: 0.4640 grounding_loss_reg: 4.4044 +2023/10/14 23:17:28 - mmengine - INFO - Saving checkpoint at 103000 iterations +2023/10/14 23:33:09 - mmengine - INFO - Iter(train) [103500/320000] base_lr: 1.5314e-04 lr: 6.1541e-05 eta: 4 days, 9:11:02 time: 1.8714 data_time: 0.1221 memory: 22137 grad_norm: 1.0135 loss: 1.4440 semantic_segmentation_loss_cls: 0.0183 caption_loss_cls: 2.7876 instance_segmentation_loss_cls: 0.0653 instance_segmentation_loss_reg: 0.3210 instance_segmentation_loss_poly: 0.9265 detection_loss_cls: 0.0880 detection_loss_reg: 0.4640 grounding_loss_reg: 4.4004 +2023/10/14 23:33:09 - mmengine - INFO - Saving checkpoint at 103500 iterations +2023/10/14 23:48:44 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/14 23:48:44 - mmengine - INFO - Iter(train) [104000/320000] base_lr: 1.5273e-04 lr: 6.1378e-05 eta: 4 days, 9:32:24 time: 1.8680 data_time: 0.1212 memory: 21623 grad_norm: 1.0222 loss: 1.4503 semantic_segmentation_loss_cls: 0.0183 caption_loss_cls: 2.7799 instance_segmentation_loss_cls: 0.0647 instance_segmentation_loss_reg: 0.3219 instance_segmentation_loss_poly: 0.9266 detection_loss_cls: 0.0875 detection_loss_reg: 0.4626 grounding_loss_reg: 4.3950 +2023/10/14 23:48:44 - mmengine - INFO - Saving checkpoint at 104000 iterations +2023/10/15 00:05:27 - mmengine - INFO - Iter(train) [104500/320000] base_lr: 1.5231e-04 lr: 6.1214e-05 eta: 4 days, 10:25:44 time: 1.9123 data_time: 0.1348 memory: 22137 grad_norm: 1.0106 loss: 1.4513 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.7783 instance_segmentation_loss_cls: 0.0645 instance_segmentation_loss_reg: 0.3244 instance_segmentation_loss_poly: 0.9290 detection_loss_cls: 0.0872 detection_loss_reg: 0.4614 grounding_loss_reg: 4.3917 +2023/10/15 00:05:27 - mmengine - INFO - Saving checkpoint at 104500 iterations +2023/10/15 00:20:14 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 00:20:14 - mmengine - INFO - Iter(train) [105000/320000] base_lr: 1.5190e-04 lr: 6.1050e-05 eta: 4 days, 10:09:56 time: 1.9035 data_time: 0.1349 memory: 22137 grad_norm: 1.0024 loss: 1.4662 semantic_segmentation_loss_cls: 0.0185 caption_loss_cls: 2.7758 instance_segmentation_loss_cls: 0.0639 instance_segmentation_loss_reg: 0.3254 instance_segmentation_loss_poly: 0.9301 detection_loss_cls: 0.0867 detection_loss_reg: 0.4601 grounding_loss_reg: 4.3885 +2023/10/15 00:20:14 - mmengine - INFO - Saving checkpoint at 105000 iterations +2023/10/15 00:36:03 - mmengine - INFO - Iter(train) [105500/320000] base_lr: 1.5148e-04 lr: 6.0886e-05 eta: 4 days, 10:23:39 time: 1.8976 data_time: 0.1321 memory: 22137 grad_norm: 0.9817 loss: 1.4627 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.7747 instance_segmentation_loss_cls: 0.0634 instance_segmentation_loss_reg: 0.3264 instance_segmentation_loss_poly: 0.9284 detection_loss_cls: 0.0865 detection_loss_reg: 0.4597 grounding_loss_reg: 4.3815 +2023/10/15 00:36:03 - mmengine - INFO - Saving checkpoint at 105500 iterations +2023/10/15 00:52:00 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 00:52:00 - mmengine - INFO - Iter(train) [106000/320000] base_lr: 1.5106e-04 lr: 6.0721e-05 eta: 4 days, 10:37:18 time: 1.9036 data_time: 0.1313 memory: 22137 grad_norm: 0.9781 loss: 1.4612 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.7689 instance_segmentation_loss_cls: 0.0633 instance_segmentation_loss_reg: 0.3284 instance_segmentation_loss_poly: 0.9289 detection_loss_cls: 0.0857 detection_loss_reg: 0.4578 grounding_loss_reg: 4.3762 +2023/10/15 00:52:00 - mmengine - INFO - Saving checkpoint at 106000 iterations +2023/10/15 01:08:17 - mmengine - INFO - Iter(train) [106500/320000] base_lr: 1.5064e-04 lr: 6.0556e-05 eta: 4 days, 10:55:58 time: 1.9090 data_time: 0.1308 memory: 22137 grad_norm: 0.9724 loss: 1.4590 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.7632 instance_segmentation_loss_cls: 0.0629 instance_segmentation_loss_reg: 0.3295 instance_segmentation_loss_poly: 0.9294 detection_loss_cls: 0.0856 detection_loss_reg: 0.4583 grounding_loss_reg: 4.3735 +2023/10/15 01:08:17 - mmengine - INFO - Saving checkpoint at 106500 iterations +2023/10/15 01:24:13 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 01:24:13 - mmengine - INFO - Iter(train) [107000/320000] base_lr: 1.5022e-04 lr: 6.0390e-05 eta: 4 days, 11:02:36 time: 1.9011 data_time: 0.1297 memory: 22137 grad_norm: 0.9644 loss: 1.4625 semantic_segmentation_loss_cls: 0.0184 caption_loss_cls: 2.7645 instance_segmentation_loss_cls: 0.0628 instance_segmentation_loss_reg: 0.3324 instance_segmentation_loss_poly: 0.9336 detection_loss_cls: 0.0851 detection_loss_reg: 0.4569 grounding_loss_reg: 4.3694 +2023/10/15 01:24:13 - mmengine - INFO - Saving checkpoint at 107000 iterations +2023/10/15 01:39:47 - mmengine - INFO - Iter(train) [107500/320000] base_lr: 1.4980e-04 lr: 6.0223e-05 eta: 4 days, 10:58:16 time: 1.8991 data_time: 0.1299 memory: 22137 grad_norm: 0.9571 loss: 1.4533 semantic_segmentation_loss_cls: 0.0183 caption_loss_cls: 2.7591 instance_segmentation_loss_cls: 0.0621 instance_segmentation_loss_reg: 0.3325 instance_segmentation_loss_poly: 0.9331 detection_loss_cls: 0.0853 detection_loss_reg: 0.4575 grounding_loss_reg: 4.3641 +2023/10/15 01:39:47 - mmengine - INFO - Saving checkpoint at 107500 iterations +2023/10/15 01:56:21 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 01:56:21 - mmengine - INFO - Iter(train) [108000/320000] base_lr: 1.4937e-04 lr: 6.0057e-05 eta: 4 days, 11:14:03 time: 1.9139 data_time: 0.1309 memory: 22137 grad_norm: 0.9487 loss: 1.4517 semantic_segmentation_loss_cls: 0.0183 caption_loss_cls: 2.7569 instance_segmentation_loss_cls: 0.0612 instance_segmentation_loss_reg: 0.3334 instance_segmentation_loss_poly: 0.9310 detection_loss_cls: 0.0848 detection_loss_reg: 0.4541 grounding_loss_reg: 4.3579 +2023/10/15 01:56:21 - mmengine - INFO - Saving checkpoint at 108000 iterations +2023/10/15 02:12:40 - mmengine - INFO - Iter(train) [108500/320000] base_lr: 1.4895e-04 lr: 5.9889e-05 eta: 4 days, 11:22:02 time: 1.9081 data_time: 0.1299 memory: 22137 grad_norm: 0.9473 loss: 1.4580 semantic_segmentation_loss_cls: 0.0183 caption_loss_cls: 2.7542 instance_segmentation_loss_cls: 0.0609 instance_segmentation_loss_reg: 0.3339 instance_segmentation_loss_poly: 0.9313 detection_loss_cls: 0.0843 detection_loss_reg: 0.4529 grounding_loss_reg: 4.3539 +2023/10/15 02:12:40 - mmengine - INFO - Saving checkpoint at 108500 iterations +2023/10/15 02:28:50 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 02:28:50 - mmengine - INFO - Iter(train) [109000/320000] base_lr: 1.4852e-04 lr: 5.9722e-05 eta: 4 days, 11:24:35 time: 1.9287 data_time: 0.1299 memory: 22137 grad_norm: 0.9460 loss: 1.4397 semantic_segmentation_loss_cls: 0.0182 caption_loss_cls: 2.7456 instance_segmentation_loss_cls: 0.0604 instance_segmentation_loss_reg: 0.3333 instance_segmentation_loss_poly: 0.9295 detection_loss_cls: 0.0843 detection_loss_reg: 0.4523 grounding_loss_reg: 4.3482 +2023/10/15 02:28:50 - mmengine - INFO - Saving checkpoint at 109000 iterations +2023/10/15 02:44:18 - mmengine - INFO - Iter(train) [109500/320000] base_lr: 1.4810e-04 lr: 5.9553e-05 eta: 4 days, 11:12:59 time: 1.9236 data_time: 0.1297 memory: 22137 grad_norm: 0.9383 loss: 1.4306 semantic_segmentation_loss_cls: 0.0181 caption_loss_cls: 2.7449 instance_segmentation_loss_cls: 0.0604 instance_segmentation_loss_reg: 0.3335 instance_segmentation_loss_poly: 0.9298 detection_loss_cls: 0.0779 detection_loss_reg: 0.4497 grounding_loss_reg: 4.3463 +2023/10/15 02:44:18 - mmengine - INFO - Saving checkpoint at 109500 iterations +2023/10/15 02:59:47 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 02:59:47 - mmengine - INFO - Iter(train) [110000/320000] base_lr: 1.4767e-04 lr: 5.9385e-05 eta: 4 days, 11:01:05 time: 1.9165 data_time: 0.1313 memory: 22137 grad_norm: 0.9468 loss: 1.4410 semantic_segmentation_loss_cls: 0.0181 caption_loss_cls: 2.7464 instance_segmentation_loss_cls: 0.0608 instance_segmentation_loss_reg: 0.3360 instance_segmentation_loss_poly: 0.9326 detection_loss_cls: 0.0765 detection_loss_reg: 0.4464 grounding_loss_reg: 4.3428 +2023/10/15 02:59:47 - mmengine - INFO - Saving checkpoint at 110000 iterations +2023/10/15 03:16:03 - mmengine - INFO - Iter(train) [110500/320000] base_lr: 1.4724e-04 lr: 5.9216e-05 eta: 4 days, 11:02:17 time: 1.9163 data_time: 0.1312 memory: 22137 grad_norm: 0.9430 loss: 1.4381 semantic_segmentation_loss_cls: 0.0181 caption_loss_cls: 2.7415 instance_segmentation_loss_cls: 0.0602 instance_segmentation_loss_reg: 0.3343 instance_segmentation_loss_poly: 0.9291 detection_loss_cls: 0.0761 detection_loss_reg: 0.4469 grounding_loss_reg: 4.3394 +2023/10/15 03:16:03 - mmengine - INFO - Saving checkpoint at 110500 iterations +2023/10/15 03:32:10 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 03:32:10 - mmengine - INFO - Iter(train) [111000/320000] base_lr: 1.4681e-04 lr: 5.9046e-05 eta: 4 days, 10:59:31 time: 1.9188 data_time: 0.1327 memory: 22137 grad_norm: 0.9404 loss: 1.4295 semantic_segmentation_loss_cls: 0.0180 caption_loss_cls: 2.7364 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.3341 instance_segmentation_loss_poly: 0.9270 detection_loss_cls: 0.0759 detection_loss_reg: 0.4487 grounding_loss_reg: 4.3340 +2023/10/15 03:32:10 - mmengine - INFO - Saving checkpoint at 111000 iterations +2023/10/15 03:46:54 - mmengine - INFO - Iter(train) [111500/320000] base_lr: 1.4638e-04 lr: 5.8876e-05 eta: 4 days, 10:34:34 time: 1.9065 data_time: 0.1325 memory: 22137 grad_norm: 0.9807 loss: 1.4382 semantic_segmentation_loss_cls: 0.0180 caption_loss_cls: 2.7364 instance_segmentation_loss_cls: 0.0599 instance_segmentation_loss_reg: 0.3357 instance_segmentation_loss_poly: 0.9290 detection_loss_cls: 0.0761 detection_loss_reg: 0.4492 grounding_loss_reg: 4.3293 +2023/10/15 03:46:54 - mmengine - INFO - Saving checkpoint at 111500 iterations +2023/10/15 04:01:37 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 04:01:37 - mmengine - INFO - Iter(train) [112000/320000] base_lr: 1.4595e-04 lr: 5.8706e-05 eta: 4 days, 10:10:04 time: 1.8789 data_time: 0.1311 memory: 22137 grad_norm: 1.0032 loss: 1.4523 semantic_segmentation_loss_cls: 0.0180 caption_loss_cls: 2.7342 instance_segmentation_loss_cls: 0.0598 instance_segmentation_loss_reg: 0.3359 instance_segmentation_loss_poly: 0.9286 detection_loss_cls: 0.0760 detection_loss_reg: 0.4494 grounding_loss_reg: 4.3241 +2023/10/15 04:01:37 - mmengine - INFO - Saving checkpoint at 112000 iterations +2023/10/15 04:17:19 - mmengine - INFO - Iter(train) [112500/320000] base_lr: 1.4551e-04 lr: 5.8535e-05 eta: 4 days, 10:00:16 time: 1.8695 data_time: 0.1301 memory: 22137 grad_norm: 1.0398 loss: 1.4352 semantic_segmentation_loss_cls: 0.0180 caption_loss_cls: 2.7378 instance_segmentation_loss_cls: 0.0592 instance_segmentation_loss_reg: 0.3342 instance_segmentation_loss_poly: 0.9249 detection_loss_cls: 0.0751 detection_loss_reg: 0.4465 grounding_loss_reg: 4.3202 +2023/10/15 04:17:19 - mmengine - INFO - Saving checkpoint at 112500 iterations +2023/10/15 04:33:09 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 04:33:09 - mmengine - INFO - Iter(train) [113000/320000] base_lr: 1.4508e-04 lr: 5.8364e-05 eta: 4 days, 9:51:49 time: 1.8646 data_time: 0.1301 memory: 22137 grad_norm: 1.0321 loss: 1.4270 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7341 instance_segmentation_loss_cls: 0.0588 instance_segmentation_loss_reg: 0.3324 instance_segmentation_loss_poly: 0.9216 detection_loss_cls: 0.0749 detection_loss_reg: 0.4458 grounding_loss_reg: 4.3167 +2023/10/15 04:33:09 - mmengine - INFO - Saving checkpoint at 113000 iterations +2023/10/15 04:49:03 - mmengine - INFO - Iter(train) [113500/320000] base_lr: 1.4464e-04 lr: 5.8192e-05 eta: 4 days, 9:43:54 time: 1.8710 data_time: 0.1309 memory: 22137 grad_norm: 1.0386 loss: 1.4267 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7355 instance_segmentation_loss_cls: 0.0580 instance_segmentation_loss_reg: 0.3291 instance_segmentation_loss_poly: 0.9141 detection_loss_cls: 0.0747 detection_loss_reg: 0.4446 grounding_loss_reg: 4.3148 +2023/10/15 04:49:03 - mmengine - INFO - Saving checkpoint at 113500 iterations +2023/10/15 05:04:57 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 05:04:57 - mmengine - INFO - Iter(train) [114000/320000] base_lr: 1.4421e-04 lr: 5.8020e-05 eta: 4 days, 9:35:31 time: 1.8774 data_time: 0.1294 memory: 22137 grad_norm: 1.0346 loss: 1.4017 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7352 instance_segmentation_loss_cls: 0.0579 instance_segmentation_loss_reg: 0.3278 instance_segmentation_loss_poly: 0.9105 detection_loss_cls: 0.0741 detection_loss_reg: 0.4422 grounding_loss_reg: 4.3114 +2023/10/15 05:04:57 - mmengine - INFO - Saving checkpoint at 114000 iterations +2023/10/15 05:20:18 - mmengine - INFO - Iter(train) [114500/320000] base_lr: 1.4377e-04 lr: 5.7848e-05 eta: 4 days, 9:19:41 time: 1.8634 data_time: 0.1298 memory: 22137 grad_norm: 1.0679 loss: 1.4086 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7292 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.3257 instance_segmentation_loss_poly: 0.9060 detection_loss_cls: 0.0739 detection_loss_reg: 0.4424 grounding_loss_reg: 4.3058 +2023/10/15 05:20:18 - mmengine - INFO - Saving checkpoint at 114500 iterations +2023/10/15 05:35:33 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 05:35:33 - mmengine - INFO - Iter(train) [115000/320000] base_lr: 1.4333e-04 lr: 5.7675e-05 eta: 4 days, 9:02:50 time: 1.8506 data_time: 0.1281 memory: 22137 grad_norm: 1.0925 loss: 1.4199 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7314 instance_segmentation_loss_cls: 0.0575 instance_segmentation_loss_reg: 0.3256 instance_segmentation_loss_poly: 0.9061 detection_loss_cls: 0.0734 detection_loss_reg: 0.4412 grounding_loss_reg: 4.3009 +2023/10/15 05:35:33 - mmengine - INFO - Saving checkpoint at 115000 iterations +2023/10/15 05:52:26 - mmengine - INFO - Iter(train) [115500/320000] base_lr: 1.4289e-04 lr: 5.7502e-05 eta: 4 days, 9:05:04 time: 1.8828 data_time: 0.1277 memory: 22137 grad_norm: 1.0656 loss: 1.3943 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7292 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.3247 instance_segmentation_loss_poly: 0.9038 detection_loss_cls: 0.0739 detection_loss_reg: 0.4418 grounding_loss_reg: 4.2926 +2023/10/15 05:52:26 - mmengine - INFO - Saving checkpoint at 115500 iterations +2023/10/15 06:07:22 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 06:07:22 - mmengine - INFO - Iter(train) [116000/320000] base_lr: 1.4245e-04 lr: 5.7328e-05 eta: 4 days, 8:44:05 time: 1.8858 data_time: 0.1285 memory: 22137 grad_norm: 1.0448 loss: 1.3822 semantic_segmentation_loss_cls: 0.0182 caption_loss_cls: 2.7292 instance_segmentation_loss_cls: 0.0571 instance_segmentation_loss_reg: 0.3258 instance_segmentation_loss_poly: 0.9044 detection_loss_cls: 0.0734 detection_loss_reg: 0.4407 grounding_loss_reg: 4.2894 +2023/10/15 06:07:22 - mmengine - INFO - Saving checkpoint at 116000 iterations +2023/10/15 06:23:13 - mmengine - INFO - Iter(train) [116500/320000] base_lr: 1.4201e-04 lr: 5.7154e-05 eta: 4 days, 8:33:37 time: 1.8881 data_time: 0.1285 memory: 22137 grad_norm: 1.0328 loss: 1.4029 semantic_segmentation_loss_cls: 0.0182 caption_loss_cls: 2.7307 instance_segmentation_loss_cls: 0.0548 instance_segmentation_loss_reg: 0.3243 instance_segmentation_loss_poly: 0.8988 detection_loss_cls: 0.0735 detection_loss_reg: 0.4410 grounding_loss_reg: 4.2873 +2023/10/15 06:23:13 - mmengine - INFO - Saving checkpoint at 116500 iterations +2023/10/15 06:39:06 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 06:39:06 - mmengine - INFO - Iter(train) [117000/320000] base_lr: 1.4156e-04 lr: 5.6980e-05 eta: 4 days, 8:23:12 time: 1.8890 data_time: 0.1287 memory: 22137 grad_norm: 1.0336 loss: 1.4033 semantic_segmentation_loss_cls: 0.0182 caption_loss_cls: 2.7273 instance_segmentation_loss_cls: 0.0542 instance_segmentation_loss_reg: 0.3224 instance_segmentation_loss_poly: 0.8920 detection_loss_cls: 0.0728 detection_loss_reg: 0.4395 grounding_loss_reg: 4.2829 +2023/10/15 06:39:06 - mmengine - INFO - Saving checkpoint at 117000 iterations +2023/10/15 06:55:47 - mmengine - INFO - Iter(train) [117500/320000] base_lr: 1.4112e-04 lr: 5.6805e-05 eta: 4 days, 8:20:46 time: 1.9007 data_time: 0.1282 memory: 22137 grad_norm: 1.0260 loss: 1.3936 semantic_segmentation_loss_cls: 0.0181 caption_loss_cls: 2.7264 instance_segmentation_loss_cls: 0.0541 instance_segmentation_loss_reg: 0.3233 instance_segmentation_loss_poly: 0.8932 detection_loss_cls: 0.0733 detection_loss_reg: 0.4412 grounding_loss_reg: 4.2799 +2023/10/15 06:55:47 - mmengine - INFO - Saving checkpoint at 117500 iterations +2023/10/15 07:11:53 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 07:11:53 - mmengine - INFO - Iter(train) [118000/320000] base_lr: 1.4068e-04 lr: 5.6630e-05 eta: 4 days, 8:11:50 time: 1.9037 data_time: 0.1279 memory: 22137 grad_norm: 1.0282 loss: 1.4139 semantic_segmentation_loss_cls: 0.0181 caption_loss_cls: 2.7282 instance_segmentation_loss_cls: 0.0540 instance_segmentation_loss_reg: 0.3234 instance_segmentation_loss_poly: 0.8929 detection_loss_cls: 0.0731 detection_loss_reg: 0.4402 grounding_loss_reg: 4.2747 +2023/10/15 07:11:53 - mmengine - INFO - Saving checkpoint at 118000 iterations +2023/10/15 07:28:16 - mmengine - INFO - Iter(train) [118500/320000] base_lr: 1.4023e-04 lr: 5.6454e-05 eta: 4 days, 8:05:17 time: 1.9193 data_time: 0.1273 memory: 22137 grad_norm: 0.9993 loss: 1.4037 semantic_segmentation_loss_cls: 0.0180 caption_loss_cls: 2.7241 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_reg: 0.3232 instance_segmentation_loss_poly: 0.8929 detection_loss_cls: 0.0726 detection_loss_reg: 0.4378 grounding_loss_reg: 4.2707 +2023/10/15 07:28:16 - mmengine - INFO - Saving checkpoint at 118500 iterations +2023/10/15 07:44:36 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 07:44:36 - mmengine - INFO - Iter(train) [119000/320000] base_lr: 1.3978e-04 lr: 5.6278e-05 eta: 4 days, 7:57:39 time: 1.9353 data_time: 0.1273 memory: 22137 grad_norm: 0.9915 loss: 1.3940 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7277 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_reg: 0.3231 instance_segmentation_loss_poly: 0.8900 detection_loss_cls: 0.0725 detection_loss_reg: 0.4367 grounding_loss_reg: 4.2678 +2023/10/15 07:44:36 - mmengine - INFO - Saving checkpoint at 119000 iterations +2023/10/15 08:00:34 - mmengine - INFO - Iter(train) [119500/320000] base_lr: 1.3934e-04 lr: 5.6102e-05 eta: 4 days, 7:46:25 time: 1.9218 data_time: 0.1273 memory: 22137 grad_norm: 0.9732 loss: 1.3984 semantic_segmentation_loss_cls: 0.0179 caption_loss_cls: 2.7300 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_reg: 0.3239 instance_segmentation_loss_poly: 0.8925 detection_loss_cls: 0.0727 detection_loss_reg: 0.4372 grounding_loss_reg: 4.2646 +2023/10/15 08:00:34 - mmengine - INFO - Saving checkpoint at 119500 iterations +2023/10/15 08:15:54 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 08:15:54 - mmengine - INFO - Iter(train) [120000/320000] base_lr: 1.3889e-04 lr: 5.5925e-05 eta: 4 days, 7:29:03 time: 1.9278 data_time: 0.1262 memory: 22137 grad_norm: 0.9759 loss: 1.3962 semantic_segmentation_loss_cls: 0.0178 caption_loss_cls: 2.7324 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_reg: 0.3241 instance_segmentation_loss_poly: 0.8902 detection_loss_cls: 0.0726 detection_loss_reg: 0.4362 grounding_loss_reg: 4.2596 +2023/10/15 08:15:54 - mmengine - INFO - Saving checkpoint at 120000 iterations +2023/10/15 08:20:23 - mmengine - INFO - Evaluating bbox... +2023/10/15 08:21:22 - mmengine - INFO - bbox_mAP_copypaste: 0.310 0.461 0.332 0.182 0.355 0.397 +2023/10/15 08:21:22 - mmengine - INFO - Evaluating segm... +2023/10/15 08:22:38 - mmengine - INFO - segm_mAP_copypaste: 0.192 0.392 0.172 0.090 0.221 0.285 +2023/10/15 08:23:51 - mmengine - INFO - Evaluating bbox... +2023/10/15 08:24:56 - mmengine - INFO - bbox_mAP_copypaste: 0.310 0.461 0.333 0.182 0.356 0.398 +2023/10/15 08:27:16 - mmengine - INFO - per class results: +2023/10/15 08:27:16 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 66.71 | 80.62 | +| building | 75.72 | 91.8 | +| sky | 92.31 | 97.02 | +| floor | 73.91 | 86.41 | +| tree | 65.71 | 81.24 | +| ceiling | 72.79 | 95.27 | +| road | 74.6 | 88.94 | +| bed | 78.84 | 90.72 | +| windowpane | 49.6 | 73.34 | +| grass | 60.29 | 70.42 | +| cabinet | 49.39 | 63.04 | +| sidewalk | 44.74 | 50.8 | +| person | 73.78 | 90.59 | +| earth | 34.02 | 55.05 | +| door | 26.0 | 37.19 | +| table | 38.85 | 51.27 | +| mountain | 45.5 | 68.89 | +| plant | 38.05 | 43.27 | +| curtain | 56.79 | 64.45 | +| chair | 40.14 | 58.98 | +| car | 76.82 | 86.94 | +| water | 41.05 | 52.33 | +| painting | 59.49 | 78.79 | +| sofa | 28.81 | 31.67 | +| shelf | 30.88 | 59.09 | +| house | 10.91 | 12.03 | +| sea | 49.27 | 75.11 | +| mirror | 41.08 | 61.91 | +| rug | 39.16 | 43.93 | +| field | 21.74 | 32.38 | +| armchair | 25.73 | 70.95 | +| seat | 41.29 | 43.88 | +| fence | 25.87 | 42.16 | +| desk | 28.11 | 54.89 | +| rock | 37.9 | 45.88 | +| wardrobe | 35.7 | 47.07 | +| lamp | 43.4 | 63.88 | +| bathtub | 48.53 | 50.94 | +| railing | 9.41 | 10.3 | +| cushion | 34.08 | 45.09 | +| base | 7.79 | 13.25 | +| box | 15.11 | 24.55 | +| column | 31.84 | 41.72 | +| signboard | 31.72 | 40.29 | +| chest of drawers | 24.19 | 55.95 | +| counter | 24.66 | 41.02 | +| sand | 29.28 | 46.9 | +| sink | 47.47 | 70.04 | +| skyscraper | 49.44 | 87.96 | +| fireplace | 46.2 | 68.17 | +| refrigerator | 47.69 | 71.42 | +| grandstand | 32.54 | 46.41 | +| path | 15.26 | 17.35 | +| stairs | 24.87 | 44.14 | +| runway | 50.15 | 57.01 | +| case | 33.69 | 38.53 | +| pool table | 83.47 | 88.46 | +| pillow | 31.96 | 39.89 | +| screen door | 0.38 | 0.38 | +| stairway | 13.07 | 29.12 | +| river | 14.56 | 29.86 | +| bridge | 24.3 | 26.84 | +| bookcase | 31.26 | 53.81 | +| blind | 14.56 | 18.72 | +| coffee table | 36.85 | 73.42 | +| toilet | 70.71 | 83.59 | +| flower | 23.72 | 38.89 | +| book | 35.5 | 44.0 | +| hill | 2.33 | 3.18 | +| bench | 30.26 | 41.77 | +| countertop | 36.69 | 40.2 | +| stove | 46.02 | 64.75 | +| palm | 32.34 | 40.23 | +| kitchen island | 27.47 | 54.78 | +| computer | 40.9 | 52.69 | +| swivel chair | 26.79 | 32.64 | +| boat | 56.23 | 87.43 | +| bar | 26.57 | 27.25 | +| arcade machine | 23.19 | 51.93 | +| hovel | 5.59 | 6.17 | +| bus | 76.17 | 92.13 | +| towel | 38.61 | 45.67 | +| light | 15.72 | 16.81 | +| truck | 32.69 | 65.55 | +| tower | 0.76 | 0.81 | +| chandelier | 54.78 | 74.84 | +| awning | 9.37 | 10.06 | +| streetlight | 11.73 | 14.16 | +| booth | 18.25 | 19.62 | +| television receiver | 48.38 | 56.19 | +| airplane | 51.91 | 64.35 | +| dirt track | 0.0 | 0.0 | +| apparel | 9.18 | 11.62 | +| pole | 18.48 | 27.68 | +| land | 0.01 | 0.01 | +| bannister | 2.31 | 2.88 | +| escalator | 15.49 | 16.17 | +| ottoman | 20.47 | 46.95 | +| bottle | 17.67 | 25.12 | +| buffet | 29.28 | 34.54 | +| poster | 5.36 | 8.91 | +| stage | 2.24 | 2.65 | +| van | 20.91 | 23.87 | +| ship | 28.32 | 29.32 | +| fountain | 8.66 | 10.64 | +| conveyer belt | 41.53 | 56.71 | +| canopy | 1.45 | 1.46 | +| washer | 46.14 | 54.61 | +| plaything | 16.12 | 24.38 | +| swimming pool | 18.24 | 47.53 | +| stool | 23.16 | 29.34 | +| barrel | 6.43 | 68.32 | +| basket | 22.28 | 33.11 | +| waterfall | 61.37 | 77.69 | +| tent | 70.69 | 88.41 | +| bag | 7.97 | 9.41 | +| minibike | 68.42 | 80.87 | +| cradle | 58.83 | 74.32 | +| oven | 11.29 | 14.03 | +| ball | 38.97 | 46.61 | +| food | 43.78 | 46.07 | +| step | 2.66 | 2.88 | +| tank | 12.93 | 14.98 | +| trade name | 17.97 | 21.02 | +| microwave | 60.63 | 67.04 | +| pot | 38.84 | 52.54 | +| animal | 50.94 | 54.41 | +| bicycle | 51.39 | 74.91 | +| lake | 0.0 | 0.0 | +| dishwasher | 7.65 | 7.78 | +| screen | 61.56 | 68.69 | +| blanket | 0.0 | 0.0 | +| sculpture | 32.69 | 37.41 | +| hood | 14.01 | 14.65 | +| sconce | 9.23 | 11.97 | +| vase | 24.64 | 49.11 | +| traffic light | 19.13 | 22.85 | +| tray | 2.18 | 2.49 | +| ashcan | 25.7 | 34.65 | +| fan | 38.19 | 49.24 | +| pier | 43.38 | 58.29 | +| crt screen | 0.0 | 0.0 | +| plate | 38.74 | 50.14 | +| monitor | 1.19 | 1.36 | +| bulletin board | 27.32 | 34.33 | +| shower | 0.21 | 0.22 | +| radiator | 25.34 | 25.89 | +| glass | 5.35 | 5.55 | +| clock | 11.14 | 15.2 | +| flag | 29.35 | 32.78 | ++---------------------+-------+-------+ +2023/10/15 08:27:25 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.3100 coco/bbox_mAP_50: 0.4610 coco/bbox_mAP_75: 0.3330 coco/bbox_mAP_s: 0.1820 coco/bbox_mAP_m: 0.3560 coco/bbox_mAP_l: 0.3980 coco/segm_mAP: 0.1920 coco/segm_mAP_50: 0.3920 coco/segm_mAP_75: 0.1720 coco/segm_mAP_s: 0.0900 coco/segm_mAP_m: 0.2210 coco/segm_mAP_l: 0.2850 Bleu_1: 0.5986 Bleu_2: 0.4380 Bleu_3: 0.3155 Bleu_4: 0.2256 METEOR: 0.2053 ROUGE_L: 0.4672 CIDEr: 0.7185 SPICE: 0.1482 aAcc: 74.8900 mIoU: 32.4000 mAcc: 43.3800 visual-grounding/miou: 0.5184 visual-grounding/acc: 0.5797 data_time: 0.0363 time: 0.5384 +2023/10/15 08:42:13 - mmengine - INFO - Iter(train) [120500/320000] base_lr: 1.3844e-04 lr: 5.5748e-05 eta: 4 days, 7:07:22 time: 1.9124 data_time: 0.1132 memory: 22137 grad_norm: 0.9430 loss: 1.3834 semantic_segmentation_loss_cls: 0.0178 caption_loss_cls: 2.7272 instance_segmentation_loss_cls: 0.0527 instance_segmentation_loss_reg: 0.3240 instance_segmentation_loss_poly: 0.8898 detection_loss_cls: 0.0727 detection_loss_reg: 0.4364 grounding_loss_reg: 4.2559 +2023/10/15 08:42:13 - mmengine - INFO - Saving checkpoint at 120500 iterations +2023/10/15 08:58:54 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 08:58:54 - mmengine - INFO - Iter(train) [121000/320000] base_lr: 1.3799e-04 lr: 5.5571e-05 eta: 4 days, 7:01:54 time: 1.9242 data_time: 0.1136 memory: 22137 grad_norm: 0.9497 loss: 1.3875 semantic_segmentation_loss_cls: 0.0178 caption_loss_cls: 2.7282 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.3232 instance_segmentation_loss_poly: 0.8889 detection_loss_cls: 0.0724 detection_loss_reg: 0.4366 grounding_loss_reg: 4.2510 +2023/10/15 08:58:54 - mmengine - INFO - Saving checkpoint at 121000 iterations +2023/10/15 09:14:37 - mmengine - INFO - Iter(train) [121500/320000] base_lr: 1.3754e-04 lr: 5.5393e-05 eta: 4 days, 6:47:57 time: 1.9098 data_time: 0.1135 memory: 22137 grad_norm: 0.9578 loss: 1.3933 semantic_segmentation_loss_cls: 0.0178 caption_loss_cls: 2.7255 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.3222 instance_segmentation_loss_poly: 0.8859 detection_loss_cls: 0.0726 detection_loss_reg: 0.4384 grounding_loss_reg: 4.2473 +2023/10/15 09:14:37 - mmengine - INFO - Saving checkpoint at 121500 iterations +2023/10/15 09:30:50 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 09:30:50 - mmengine - INFO - Iter(train) [122000/320000] base_lr: 1.3708e-04 lr: 5.5215e-05 eta: 4 days, 6:38:02 time: 1.9115 data_time: 0.1137 memory: 22137 grad_norm: 0.9729 loss: 1.3770 semantic_segmentation_loss_cls: 0.0178 caption_loss_cls: 2.7223 instance_segmentation_loss_cls: 0.0522 instance_segmentation_loss_reg: 0.3212 instance_segmentation_loss_poly: 0.8840 detection_loss_cls: 0.0724 detection_loss_reg: 0.4372 grounding_loss_reg: 4.2435 +2023/10/15 09:30:50 - mmengine - INFO - Saving checkpoint at 122000 iterations +2023/10/15 09:46:56 - mmengine - INFO - Iter(train) [122500/320000] base_lr: 1.3663e-04 lr: 5.5036e-05 eta: 4 days, 6:26:50 time: 1.9072 data_time: 0.1143 memory: 22137 grad_norm: 1.0019 loss: 1.3898 semantic_segmentation_loss_cls: 0.0177 caption_loss_cls: 2.7264 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.3206 instance_segmentation_loss_poly: 0.8826 detection_loss_cls: 0.0749 detection_loss_reg: 0.4356 grounding_loss_reg: 4.2381 +2023/10/15 09:46:56 - mmengine - INFO - Saving checkpoint at 122500 iterations +2023/10/15 10:02:00 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 10:02:00 - mmengine - INFO - Iter(train) [123000/320000] base_lr: 1.3618e-04 lr: 5.4857e-05 eta: 4 days, 6:07:24 time: 1.8884 data_time: 0.1138 memory: 22137 grad_norm: 1.0180 loss: 1.3977 semantic_segmentation_loss_cls: 0.0177 caption_loss_cls: 2.7220 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_reg: 0.3195 instance_segmentation_loss_poly: 0.8822 detection_loss_cls: 0.0748 detection_loss_reg: 0.4359 grounding_loss_reg: 4.2334 +2023/10/15 10:02:00 - mmengine - INFO - Saving checkpoint at 123000 iterations +2023/10/15 10:18:24 - mmengine - INFO - Iter(train) [123500/320000] base_lr: 1.3572e-04 lr: 5.4678e-05 eta: 4 days, 5:58:23 time: 1.8948 data_time: 0.1136 memory: 22137 grad_norm: 1.0310 loss: 1.3939 semantic_segmentation_loss_cls: 0.0176 caption_loss_cls: 2.7233 instance_segmentation_loss_cls: 0.0516 instance_segmentation_loss_reg: 0.3179 instance_segmentation_loss_poly: 0.8794 detection_loss_cls: 0.0747 detection_loss_reg: 0.4357 grounding_loss_reg: 4.2329 +2023/10/15 10:18:24 - mmengine - INFO - Saving checkpoint at 123500 iterations +2023/10/15 10:34:43 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 10:34:43 - mmengine - INFO - Iter(train) [124000/320000] base_lr: 1.3527e-04 lr: 5.4499e-05 eta: 4 days, 5:48:27 time: 1.9096 data_time: 0.1142 memory: 22137 grad_norm: 1.0398 loss: 1.3957 semantic_segmentation_loss_cls: 0.0177 caption_loss_cls: 2.7168 instance_segmentation_loss_cls: 0.0517 instance_segmentation_loss_reg: 0.3186 instance_segmentation_loss_poly: 0.8804 detection_loss_cls: 0.0743 detection_loss_reg: 0.4334 grounding_loss_reg: 4.2274 +2023/10/15 10:34:43 - mmengine - INFO - Saving checkpoint at 124000 iterations +2023/10/15 10:51:03 - mmengine - INFO - Iter(train) [124500/320000] base_lr: 1.3481e-04 lr: 5.4319e-05 eta: 4 days, 5:38:20 time: 1.9321 data_time: 0.1268 memory: 22137 grad_norm: 1.0528 loss: 1.3879 semantic_segmentation_loss_cls: 0.0177 caption_loss_cls: 2.7184 instance_segmentation_loss_cls: 0.0516 instance_segmentation_loss_reg: 0.3174 instance_segmentation_loss_poly: 0.8777 detection_loss_cls: 0.0738 detection_loss_reg: 0.4331 grounding_loss_reg: 4.2249 +2023/10/15 10:51:03 - mmengine - INFO - Saving checkpoint at 124500 iterations +2023/10/15 11:07:27 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 11:07:27 - mmengine - INFO - Iter(train) [125000/320000] base_lr: 1.3435e-04 lr: 5.4139e-05 eta: 4 days, 5:28:33 time: 1.9281 data_time: 0.1264 memory: 22137 grad_norm: 1.0898 loss: 1.4003 semantic_segmentation_loss_cls: 0.0176 caption_loss_cls: 2.7162 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_reg: 0.3165 instance_segmentation_loss_poly: 0.8774 detection_loss_cls: 0.0732 detection_loss_reg: 0.4302 grounding_loss_reg: 4.2203 +2023/10/15 11:07:27 - mmengine - INFO - Saving checkpoint at 125000 iterations +2023/10/15 11:23:18 - mmengine - INFO - Iter(train) [125500/320000] base_lr: 1.3390e-04 lr: 5.3959e-05 eta: 4 days, 5:14:35 time: 1.9300 data_time: 0.1259 memory: 22137 grad_norm: 1.0907 loss: 1.3989 semantic_segmentation_loss_cls: 0.0175 caption_loss_cls: 2.7157 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_reg: 0.3166 instance_segmentation_loss_poly: 0.8765 detection_loss_cls: 0.0732 detection_loss_reg: 0.4300 grounding_loss_reg: 4.2169 +2023/10/15 11:23:18 - mmengine - INFO - Saving checkpoint at 125500 iterations +2023/10/15 11:39:12 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 11:39:12 - mmengine - INFO - Iter(train) [126000/320000] base_lr: 1.3344e-04 lr: 5.3778e-05 eta: 4 days, 5:00:55 time: 1.9251 data_time: 0.1263 memory: 22137 grad_norm: 1.0649 loss: 1.4002 semantic_segmentation_loss_cls: 0.0174 caption_loss_cls: 2.7130 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_reg: 0.3161 instance_segmentation_loss_poly: 0.8759 detection_loss_cls: 0.0728 detection_loss_reg: 0.4284 grounding_loss_reg: 4.2136 +2023/10/15 11:39:12 - mmengine - INFO - Saving checkpoint at 126000 iterations +2023/10/15 11:55:55 - mmengine - INFO - Iter(train) [126500/320000] base_lr: 1.3298e-04 lr: 5.3597e-05 eta: 4 days, 4:52:46 time: 1.9346 data_time: 0.1266 memory: 22137 grad_norm: 1.0370 loss: 1.3913 semantic_segmentation_loss_cls: 0.0174 caption_loss_cls: 2.7149 instance_segmentation_loss_cls: 0.0505 instance_segmentation_loss_reg: 0.3157 instance_segmentation_loss_poly: 0.8771 detection_loss_cls: 0.0728 detection_loss_reg: 0.4309 grounding_loss_reg: 4.2105 +2023/10/15 11:55:55 - mmengine - INFO - Saving checkpoint at 126500 iterations +2023/10/15 12:12:12 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 12:12:12 - mmengine - INFO - Iter(train) [127000/320000] base_lr: 1.3252e-04 lr: 5.3416e-05 eta: 4 days, 4:41:22 time: 1.9527 data_time: 0.1268 memory: 22137 grad_norm: 1.0082 loss: 1.3849 semantic_segmentation_loss_cls: 0.0173 caption_loss_cls: 2.7170 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_reg: 0.3162 instance_segmentation_loss_poly: 0.8776 detection_loss_cls: 0.0728 detection_loss_reg: 0.4301 grounding_loss_reg: 4.2070 +2023/10/15 12:12:12 - mmengine - INFO - Saving checkpoint at 127000 iterations +2023/10/15 12:29:07 - mmengine - INFO - Iter(train) [127500/320000] base_lr: 1.3206e-04 lr: 5.3234e-05 eta: 4 days, 4:33:53 time: 1.9603 data_time: 0.1277 memory: 22137 grad_norm: 0.9921 loss: 1.3819 semantic_segmentation_loss_cls: 0.0173 caption_loss_cls: 2.7148 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_reg: 0.3151 instance_segmentation_loss_poly: 0.8756 detection_loss_cls: 0.0726 detection_loss_reg: 0.4286 grounding_loss_reg: 4.2044 +2023/10/15 12:29:07 - mmengine - INFO - Saving checkpoint at 127500 iterations +2023/10/15 12:45:23 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 12:45:23 - mmengine - INFO - Iter(train) [128000/320000] base_lr: 1.3159e-04 lr: 5.3052e-05 eta: 4 days, 4:22:05 time: 1.9597 data_time: 0.1275 memory: 21623 grad_norm: 0.9714 loss: 1.3581 semantic_segmentation_loss_cls: 0.0172 caption_loss_cls: 2.7136 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.3136 instance_segmentation_loss_poly: 0.8728 detection_loss_cls: 0.0721 detection_loss_reg: 0.4269 grounding_loss_reg: 4.2019 +2023/10/15 12:45:23 - mmengine - INFO - Saving checkpoint at 128000 iterations +2023/10/15 13:02:03 - mmengine - INFO - Iter(train) [128500/320000] base_lr: 1.3113e-04 lr: 5.2870e-05 eta: 4 days, 4:12:34 time: 1.9648 data_time: 0.1275 memory: 22137 grad_norm: 0.9679 loss: 1.3596 semantic_segmentation_loss_cls: 0.0172 caption_loss_cls: 2.7108 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.3127 instance_segmentation_loss_poly: 0.8716 detection_loss_cls: 0.0715 detection_loss_reg: 0.4256 grounding_loss_reg: 4.2003 +2023/10/15 13:02:03 - mmengine - INFO - Saving checkpoint at 128500 iterations +2023/10/15 13:18:40 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 13:18:40 - mmengine - INFO - Iter(train) [129000/320000] base_lr: 1.3067e-04 lr: 5.2687e-05 eta: 4 days, 4:02:26 time: 1.9678 data_time: 0.1279 memory: 22137 grad_norm: 0.9425 loss: 1.3508 semantic_segmentation_loss_cls: 0.0172 caption_loss_cls: 2.7106 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.3123 instance_segmentation_loss_poly: 0.8697 detection_loss_cls: 0.0713 detection_loss_reg: 0.4234 grounding_loss_reg: 4.1961 +2023/10/15 13:18:40 - mmengine - INFO - Saving checkpoint at 129000 iterations +2023/10/15 13:33:33 - mmengine - INFO - Iter(train) [129500/320000] base_lr: 1.3020e-04 lr: 5.2505e-05 eta: 4 days, 3:41:41 time: 1.9533 data_time: 0.1281 memory: 22137 grad_norm: 0.9582 loss: 1.3592 semantic_segmentation_loss_cls: 0.0172 caption_loss_cls: 2.7103 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.3127 instance_segmentation_loss_poly: 0.8700 detection_loss_cls: 0.0713 detection_loss_reg: 0.4238 grounding_loss_reg: 4.1948 +2023/10/15 13:33:33 - mmengine - INFO - Saving checkpoint at 129500 iterations +2023/10/15 13:49:46 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 13:49:46 - mmengine - INFO - Iter(train) [130000/320000] base_lr: 1.2974e-04 lr: 5.2321e-05 eta: 4 days, 3:29:04 time: 1.9582 data_time: 0.1276 memory: 22137 grad_norm: 0.9597 loss: 1.3474 semantic_segmentation_loss_cls: 0.0172 caption_loss_cls: 2.7089 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_reg: 0.3105 instance_segmentation_loss_poly: 0.8659 detection_loss_cls: 0.0714 detection_loss_reg: 0.4227 grounding_loss_reg: 4.1917 +2023/10/15 13:49:46 - mmengine - INFO - Saving checkpoint at 130000 iterations +2023/10/15 14:04:47 - mmengine - INFO - Iter(train) [130500/320000] base_lr: 1.2927e-04 lr: 5.2138e-05 eta: 4 days, 3:09:19 time: 1.9326 data_time: 0.1268 memory: 22137 grad_norm: 0.9736 loss: 1.3583 semantic_segmentation_loss_cls: 0.0170 caption_loss_cls: 2.7050 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8645 detection_loss_cls: 0.0715 detection_loss_reg: 0.4221 grounding_loss_reg: 4.1877 +2023/10/15 14:04:47 - mmengine - INFO - Saving checkpoint at 130500 iterations +2023/10/15 14:19:50 - mmengine - INFO - Exp name: univision_joint_all_20231014_201545 +2023/10/15 14:19:50 - mmengine - INFO - Iter(train) [131000/320000] base_lr: 1.2881e-04 lr: 5.1955e-05 eta: 4 days, 2:49:52 time: 1.9141 data_time: 0.1265 memory: 22137 grad_norm: 0.9794 loss: 1.3546 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.7019 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8646 detection_loss_cls: 0.0710 detection_loss_reg: 0.4212 grounding_loss_reg: 4.1826 +2023/10/15 14:19:50 - mmengine - INFO - Saving checkpoint at 131000 iterations +2023/10/15 14:35:53 - mmengine - INFO - Iter(train) [131500/320000] base_lr: 1.2834e-04 lr: 5.1771e-05 eta: 4 days, 2:36:13 time: 1.9013 data_time: 0.1259 memory: 22137 grad_norm: 0.9888 loss: 1.3626 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6957 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8636 detection_loss_cls: 0.0714 detection_loss_reg: 0.4219 grounding_loss_reg: 4.1788 +2023/10/15 14:35:53 - mmengine - INFO - Saving checkpoint at 131500 iterations +2023/10/15 14:49:01 - mmengine - INFO - Iter(train) [132000/320000] base_lr: 1.2787e-04 lr: 5.1587e-05 eta: 2 days, 17:50:57 time: 1.8147 data_time: 0.1133 memory: 22136 grad_norm: 1.0003 loss: 1.3833 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6974 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8633 detection_loss_cls: 0.0724 detection_loss_reg: 0.4268 grounding_loss_reg: 4.1742 +2023/10/15 14:49:01 - mmengine - INFO - Saving checkpoint at 132000 iterations +2023/10/15 15:00:45 - mmengine - INFO - Iter(train) [132500/320000] base_lr: 1.2741e-04 lr: 5.1402e-05 eta: 2 days, 21:30:25 time: 1.7408 data_time: 0.1148 memory: 22136 grad_norm: 1.0127 loss: 1.4054 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6925 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8608 detection_loss_cls: 0.0724 detection_loss_reg: 0.4291 grounding_loss_reg: 4.1667 +2023/10/15 15:00:45 - mmengine - INFO - Saving checkpoint at 132500 iterations +2023/10/15 15:14:02 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 15:14:02 - mmengine - INFO - Iter(train) [133000/320000] base_lr: 1.2694e-04 lr: 5.1218e-05 eta: 3 days, 1:48:31 time: 1.6909 data_time: 0.1158 memory: 22136 grad_norm: 0.9933 loss: 1.4134 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6900 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8631 detection_loss_cls: 0.0724 detection_loss_reg: 0.4304 grounding_loss_reg: 4.1632 +2023/10/15 15:14:02 - mmengine - INFO - Saving checkpoint at 133000 iterations +2023/10/15 15:27:48 - mmengine - INFO - Iter(train) [133500/320000] base_lr: 1.2647e-04 lr: 5.1033e-05 eta: 3 days, 4:35:55 time: 1.6742 data_time: 0.1173 memory: 22136 grad_norm: 0.9576 loss: 1.3990 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6845 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 0.8659 detection_loss_cls: 0.0726 detection_loss_reg: 0.4326 grounding_loss_reg: 4.1605 +2023/10/15 15:27:48 - mmengine - INFO - Saving checkpoint at 133500 iterations +2023/10/15 15:41:41 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 15:41:41 - mmengine - INFO - Iter(train) [134000/320000] base_lr: 1.2600e-04 lr: 5.0848e-05 eta: 3 days, 6:19:00 time: 1.6390 data_time: 0.1182 memory: 22136 grad_norm: 0.9615 loss: 1.4139 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6866 instance_segmentation_loss_cls: 0.0490 instance_segmentation_loss_reg: 0.3127 instance_segmentation_loss_poly: 0.8667 detection_loss_cls: 0.0724 detection_loss_reg: 0.4330 grounding_loss_reg: 4.1579 +2023/10/15 15:41:41 - mmengine - INFO - Saving checkpoint at 134000 iterations +2023/10/15 15:56:45 - mmengine - INFO - Iter(train) [134500/320000] base_lr: 1.2553e-04 lr: 5.0662e-05 eta: 3 days, 8:37:01 time: 1.6398 data_time: 0.1192 memory: 22136 grad_norm: 0.9478 loss: 1.4090 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6875 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_reg: 0.3136 instance_segmentation_loss_poly: 0.8686 detection_loss_cls: 0.0723 detection_loss_reg: 0.4359 grounding_loss_reg: 4.1548 +2023/10/15 15:56:45 - mmengine - INFO - Saving checkpoint at 134500 iterations +2023/10/15 16:12:05 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 16:12:05 - mmengine - INFO - Iter(train) [135000/320000] base_lr: 1.2506e-04 lr: 5.0477e-05 eta: 3 days, 10:25:26 time: 1.6442 data_time: 0.1209 memory: 22136 grad_norm: 0.9530 loss: 1.4144 semantic_segmentation_loss_cls: 0.0168 caption_loss_cls: 2.6863 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.3129 instance_segmentation_loss_poly: 0.8656 detection_loss_cls: 0.0725 detection_loss_reg: 0.4375 grounding_loss_reg: 4.1517 +2023/10/15 16:12:05 - mmengine - INFO - Saving checkpoint at 135000 iterations +2023/10/15 16:27:40 - mmengine - INFO - Iter(train) [135500/320000] base_lr: 1.2458e-04 lr: 5.0291e-05 eta: 3 days, 11:54:28 time: 1.6372 data_time: 0.1223 memory: 22136 grad_norm: 0.9603 loss: 1.4272 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6914 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.3134 instance_segmentation_loss_poly: 0.8667 detection_loss_cls: 0.0726 detection_loss_reg: 0.4404 grounding_loss_reg: 4.1484 +2023/10/15 16:27:40 - mmengine - INFO - Saving checkpoint at 135500 iterations +2023/10/15 16:44:02 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 16:44:02 - mmengine - INFO - Iter(train) [136000/320000] base_lr: 1.2411e-04 lr: 5.0105e-05 eta: 3 days, 13:32:07 time: 1.7251 data_time: 0.1356 memory: 22136 grad_norm: 1.0285 loss: 1.4215 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6840 instance_segmentation_loss_cls: 0.0483 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8670 detection_loss_cls: 0.0702 detection_loss_reg: 0.4440 grounding_loss_reg: 4.1455 +2023/10/15 16:44:02 - mmengine - INFO - Saving checkpoint at 136000 iterations +2023/10/15 17:00:40 - mmengine - INFO - Iter(train) [136500/320000] base_lr: 1.2364e-04 lr: 4.9918e-05 eta: 3 days, 14:56:16 time: 1.7984 data_time: 0.1357 memory: 22136 grad_norm: 1.0216 loss: 1.4012 semantic_segmentation_loss_cls: 0.0168 caption_loss_cls: 2.6858 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_reg: 0.3128 instance_segmentation_loss_poly: 0.8638 detection_loss_cls: 0.0700 detection_loss_reg: 0.4464 grounding_loss_reg: 4.1407 +2023/10/15 17:00:40 - mmengine - INFO - Saving checkpoint at 136500 iterations +2023/10/15 17:17:07 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 17:17:07 - mmengine - INFO - Iter(train) [137000/320000] base_lr: 1.2317e-04 lr: 4.9732e-05 eta: 3 days, 15:56:27 time: 1.8459 data_time: 0.1349 memory: 22136 grad_norm: 1.0402 loss: 1.4065 semantic_segmentation_loss_cls: 0.0169 caption_loss_cls: 2.6836 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 0.8652 detection_loss_cls: 0.0701 detection_loss_reg: 0.4481 grounding_loss_reg: 4.1373 +2023/10/15 17:17:07 - mmengine - INFO - Saving checkpoint at 137000 iterations +2023/10/15 17:33:59 - mmengine - INFO - Iter(train) [137500/320000] base_lr: 1.2269e-04 lr: 4.9545e-05 eta: 3 days, 16:56:24 time: 1.8924 data_time: 0.1346 memory: 21620 grad_norm: 1.0707 loss: 1.4216 semantic_segmentation_loss_cls: 0.0168 caption_loss_cls: 2.6861 instance_segmentation_loss_cls: 0.0479 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8654 detection_loss_cls: 0.0703 detection_loss_reg: 0.4496 grounding_loss_reg: 4.1353 +2023/10/15 17:33:59 - mmengine - INFO - Saving checkpoint at 137500 iterations +2023/10/15 17:51:35 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 17:51:35 - mmengine - INFO - Iter(train) [138000/320000] base_lr: 1.2222e-04 lr: 4.9358e-05 eta: 3 days, 18:05:13 time: 1.9483 data_time: 0.1356 memory: 22136 grad_norm: 1.0694 loss: 1.4171 semantic_segmentation_loss_cls: 0.0168 caption_loss_cls: 2.6833 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_reg: 0.3160 instance_segmentation_loss_poly: 0.8679 detection_loss_cls: 0.0707 detection_loss_reg: 0.4527 grounding_loss_reg: 4.1329 +2023/10/15 17:51:35 - mmengine - INFO - Saving checkpoint at 138000 iterations +2023/10/15 18:07:24 - mmengine - INFO - Iter(train) [138500/320000] base_lr: 1.2174e-04 lr: 4.9171e-05 eta: 3 days, 18:15:34 time: 1.9596 data_time: 0.1354 memory: 22136 grad_norm: 1.0822 loss: 1.4253 semantic_segmentation_loss_cls: 0.0168 caption_loss_cls: 2.6810 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3156 instance_segmentation_loss_poly: 0.8650 detection_loss_cls: 0.0706 detection_loss_reg: 0.4558 grounding_loss_reg: 4.1303 +2023/10/15 18:07:24 - mmengine - INFO - Saving checkpoint at 138500 iterations +2023/10/15 18:24:21 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 18:24:21 - mmengine - INFO - Iter(train) [139000/320000] base_lr: 1.2127e-04 lr: 4.8984e-05 eta: 3 days, 18:49:24 time: 1.9836 data_time: 0.1350 memory: 22136 grad_norm: 1.0751 loss: 1.4278 semantic_segmentation_loss_cls: 0.0167 caption_loss_cls: 2.6806 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3161 instance_segmentation_loss_poly: 0.8651 detection_loss_cls: 0.0706 detection_loss_reg: 0.4569 grounding_loss_reg: 4.1262 +2023/10/15 18:24:21 - mmengine - INFO - Saving checkpoint at 139000 iterations +2023/10/15 18:41:14 - mmengine - INFO - Iter(train) [139500/320000] base_lr: 1.2079e-04 lr: 4.8797e-05 eta: 3 days, 19:15:48 time: 2.0032 data_time: 0.1349 memory: 22136 grad_norm: 1.0859 loss: 1.4215 semantic_segmentation_loss_cls: 0.0167 caption_loss_cls: 2.6731 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3160 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0707 detection_loss_reg: 0.4577 grounding_loss_reg: 4.1221 +2023/10/15 18:41:14 - mmengine - INFO - Saving checkpoint at 139500 iterations +2023/10/15 18:58:43 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 18:58:43 - mmengine - INFO - Iter(train) [140000/320000] base_lr: 1.2031e-04 lr: 4.8609e-05 eta: 3 days, 19:49:19 time: 2.0197 data_time: 0.1354 memory: 22136 grad_norm: 1.0259 loss: 1.4230 semantic_segmentation_loss_cls: 0.0166 caption_loss_cls: 2.6706 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3160 instance_segmentation_loss_poly: 0.8627 detection_loss_cls: 0.0707 detection_loss_reg: 0.4600 grounding_loss_reg: 4.1168 +2023/10/15 18:58:43 - mmengine - INFO - Saving checkpoint at 140000 iterations +2023/10/15 19:03:15 - mmengine - INFO - Evaluating bbox... +2023/10/15 19:04:14 - mmengine - INFO - bbox_mAP_copypaste: 0.321 0.473 0.343 0.190 0.367 0.421 +2023/10/15 19:04:14 - mmengine - INFO - Evaluating segm... +2023/10/15 19:05:31 - mmengine - INFO - segm_mAP_copypaste: 0.206 0.402 0.190 0.099 0.240 0.325 +2023/10/15 19:06:46 - mmengine - INFO - Evaluating bbox... +2023/10/15 19:07:52 - mmengine - INFO - bbox_mAP_copypaste: 0.322 0.474 0.345 0.190 0.368 0.420 +2023/10/15 19:10:11 - mmengine - INFO - per class results: +2023/10/15 19:10:11 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 67.55 | 85.93 | +| building | 76.51 | 93.72 | +| sky | 91.9 | 96.96 | +| floor | 74.87 | 85.0 | +| tree | 65.46 | 83.12 | +| ceiling | 76.19 | 88.94 | +| road | 73.62 | 77.94 | +| bed | 78.12 | 85.86 | +| windowpane | 48.85 | 79.59 | +| grass | 65.18 | 81.69 | +| cabinet | 51.4 | 70.13 | +| sidewalk | 53.42 | 75.16 | +| person | 73.42 | 85.96 | +| earth | 31.39 | 51.77 | +| door | 27.15 | 35.6 | +| table | 43.33 | 65.38 | +| mountain | 47.47 | 66.4 | +| plant | 34.35 | 38.06 | +| curtain | 58.79 | 72.8 | +| chair | 42.87 | 61.11 | +| car | 73.54 | 88.2 | +| water | 45.12 | 56.46 | +| painting | 60.78 | 69.27 | +| sofa | 52.96 | 74.84 | +| shelf | 29.26 | 52.25 | +| house | 15.64 | 17.99 | +| sea | 47.79 | 81.21 | +| mirror | 37.67 | 41.55 | +| rug | 44.11 | 52.92 | +| field | 17.31 | 20.2 | +| armchair | 28.23 | 40.27 | +| seat | 51.12 | 63.18 | +| fence | 25.72 | 45.08 | +| desk | 26.0 | 32.55 | +| rock | 39.68 | 53.0 | +| wardrobe | 30.99 | 34.27 | +| lamp | 43.36 | 55.0 | +| bathtub | 60.41 | 68.22 | +| railing | 15.75 | 18.36 | +| cushion | 34.09 | 41.05 | +| base | 6.3 | 7.19 | +| box | 14.95 | 19.74 | +| column | 31.88 | 39.29 | +| signboard | 20.54 | 21.71 | +| chest of drawers | 28.92 | 42.43 | +| counter | 17.61 | 22.7 | +| sand | 24.9 | 40.38 | +| sink | 49.42 | 68.79 | +| skyscraper | 47.74 | 54.01 | +| fireplace | 51.79 | 61.2 | +| refrigerator | 48.2 | 52.62 | +| grandstand | 42.51 | 54.4 | +| path | 20.97 | 36.66 | +| stairs | 17.14 | 18.67 | +| runway | 68.57 | 77.44 | +| case | 44.11 | 57.04 | +| pool table | 86.43 | 94.48 | +| pillow | 39.23 | 56.09 | +| screen door | 19.81 | 20.3 | +| stairway | 22.69 | 40.09 | +| river | 12.6 | 14.91 | +| bridge | 25.65 | 34.67 | +| bookcase | 14.09 | 15.79 | +| blind | 12.03 | 13.15 | +| coffee table | 46.44 | 58.99 | +| toilet | 71.77 | 76.45 | +| flower | 22.39 | 40.62 | +| book | 36.9 | 62.14 | +| hill | 3.3 | 3.49 | +| bench | 34.99 | 44.41 | +| countertop | 29.17 | 32.29 | +| stove | 48.63 | 62.18 | +| palm | 35.59 | 39.57 | +| kitchen island | 0.11 | 0.11 | +| computer | 48.08 | 58.77 | +| swivel chair | 34.96 | 65.09 | +| boat | 61.1 | 79.47 | +| bar | 29.77 | 53.45 | +| arcade machine | 4.4 | 4.87 | +| hovel | 8.73 | 9.08 | +| bus | 74.3 | 92.44 | +| towel | 43.66 | 54.91 | +| light | 29.97 | 35.64 | +| truck | 30.53 | 52.61 | +| tower | 16.59 | 24.09 | +| chandelier | 43.36 | 47.62 | +| awning | 11.28 | 14.73 | +| streetlight | 7.42 | 7.74 | +| booth | 23.31 | 25.21 | +| television receiver | 54.04 | 62.61 | +| airplane | 51.02 | 62.86 | +| dirt track | 0.0 | 0.0 | +| apparel | 15.1 | 23.18 | +| pole | 21.06 | 35.88 | +| land | 0.05 | 0.06 | +| bannister | 1.25 | 1.71 | +| escalator | 41.87 | 53.53 | +| ottoman | 25.07 | 35.85 | +| bottle | 19.19 | 26.13 | +| buffet | 27.23 | 28.46 | +| poster | 8.5 | 11.66 | +| stage | 6.63 | 8.94 | +| van | 9.3 | 11.89 | +| ship | 61.76 | 72.49 | +| fountain | 9.64 | 10.82 | +| conveyer belt | 53.15 | 73.2 | +| canopy | 0.4 | 0.4 | +| washer | 53.87 | 57.46 | +| plaything | 9.32 | 10.26 | +| swimming pool | 25.34 | 42.64 | +| stool | 12.86 | 14.75 | +| barrel | 15.27 | 50.52 | +| basket | 25.03 | 37.12 | +| waterfall | 63.06 | 81.73 | +| tent | 66.9 | 97.74 | +| bag | 7.85 | 8.74 | +| minibike | 63.04 | 84.92 | +| cradle | 60.99 | 93.14 | +| oven | 1.62 | 1.72 | +| ball | 31.91 | 58.14 | +| food | 48.78 | 57.67 | +| step | 2.49 | 2.8 | +| tank | 18.07 | 23.45 | +| trade name | 13.06 | 15.04 | +| microwave | 72.2 | 80.25 | +| pot | 38.42 | 46.42 | +| animal | 46.0 | 50.41 | +| bicycle | 51.03 | 80.69 | +| lake | 0.0 | 0.0 | +| dishwasher | 24.02 | 28.42 | +| screen | 44.09 | 51.24 | +| blanket | 0.0 | 0.0 | +| sculpture | 32.42 | 39.74 | +| hood | 14.6 | 14.9 | +| sconce | 2.89 | 3.01 | +| vase | 26.08 | 38.37 | +| traffic light | 14.87 | 16.23 | +| tray | 0.44 | 0.49 | +| ashcan | 22.25 | 26.58 | +| fan | 30.51 | 34.07 | +| pier | 34.54 | 54.03 | +| crt screen | 0.0 | 0.0 | +| plate | 42.27 | 52.04 | +| monitor | 13.46 | 37.24 | +| bulletin board | 11.19 | 11.65 | +| shower | 0.88 | 0.9 | +| radiator | 32.3 | 35.66 | +| glass | 9.27 | 9.99 | +| clock | 9.18 | 11.75 | +| flag | 24.35 | 25.62 | ++---------------------+-------+-------+ +2023/10/15 19:10:19 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.3220 coco/bbox_mAP_50: 0.4740 coco/bbox_mAP_75: 0.3450 coco/bbox_mAP_s: 0.1900 coco/bbox_mAP_m: 0.3680 coco/bbox_mAP_l: 0.4200 coco/segm_mAP: 0.2060 coco/segm_mAP_50: 0.4020 coco/segm_mAP_75: 0.1900 coco/segm_mAP_s: 0.0990 coco/segm_mAP_m: 0.2400 coco/segm_mAP_l: 0.3250 Bleu_1: 0.6355 Bleu_2: 0.4638 Bleu_3: 0.3373 Bleu_4: 0.2446 METEOR: 0.2166 ROUGE_L: 0.4839 CIDEr: 0.7566 SPICE: 0.1532 aAcc: 76.0500 mIoU: 33.6500 mAcc: 43.3600 visual-grounding/miou: 0.5521 visual-grounding/acc: 0.6239 data_time: 0.0255 time: 0.5362 +2023/10/15 19:24:38 - mmengine - INFO - Iter(train) [140500/320000] base_lr: 1.1984e-04 lr: 4.8421e-05 eta: 3 days, 19:15:07 time: 1.9858 data_time: 0.1223 memory: 22136 grad_norm: 1.0187 loss: 1.4286 semantic_segmentation_loss_cls: 0.0166 caption_loss_cls: 2.6694 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3170 instance_segmentation_loss_poly: 0.8641 detection_loss_cls: 0.0712 detection_loss_reg: 0.4632 grounding_loss_reg: 4.1109 +2023/10/15 19:24:38 - mmengine - INFO - Saving checkpoint at 140500 iterations +2023/10/15 19:39:54 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 19:39:54 - mmengine - INFO - Iter(train) [141000/320000] base_lr: 1.1936e-04 lr: 4.8233e-05 eta: 3 days, 19:00:10 time: 1.9681 data_time: 0.1228 memory: 22136 grad_norm: 1.0120 loss: 1.4291 semantic_segmentation_loss_cls: 0.0166 caption_loss_cls: 2.6712 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3172 instance_segmentation_loss_poly: 0.8631 detection_loss_cls: 0.0713 detection_loss_reg: 0.4662 grounding_loss_reg: 4.1098 +2023/10/15 19:39:54 - mmengine - INFO - Saving checkpoint at 141000 iterations +2023/10/15 19:56:25 - mmengine - INFO - Iter(train) [141500/320000] base_lr: 1.1888e-04 lr: 4.8045e-05 eta: 3 days, 19:07:36 time: 1.9630 data_time: 0.1237 memory: 22136 grad_norm: 0.9948 loss: 1.4191 semantic_segmentation_loss_cls: 0.0166 caption_loss_cls: 2.6691 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_reg: 0.3194 instance_segmentation_loss_poly: 0.8657 detection_loss_cls: 0.0718 detection_loss_reg: 0.4696 grounding_loss_reg: 4.1048 +2023/10/15 19:56:25 - mmengine - INFO - Saving checkpoint at 141500 iterations +2023/10/15 20:12:34 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 20:12:34 - mmengine - INFO - Iter(train) [142000/320000] base_lr: 1.1840e-04 lr: 4.7856e-05 eta: 3 days, 19:06:15 time: 1.9411 data_time: 0.1233 memory: 22136 grad_norm: 0.9957 loss: 1.4229 semantic_segmentation_loss_cls: 0.0163 caption_loss_cls: 2.6686 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.3199 instance_segmentation_loss_poly: 0.8654 detection_loss_cls: 0.0717 detection_loss_reg: 0.4727 grounding_loss_reg: 4.1019 +2023/10/15 20:12:34 - mmengine - INFO - Saving checkpoint at 142000 iterations +2023/10/15 20:28:46 - mmengine - INFO - Iter(train) [142500/320000] base_lr: 1.1793e-04 lr: 4.7668e-05 eta: 3 days, 19:04:24 time: 1.9466 data_time: 0.1243 memory: 22136 grad_norm: 0.9979 loss: 1.4075 semantic_segmentation_loss_cls: 0.0162 caption_loss_cls: 2.6658 instance_segmentation_loss_cls: 0.0479 instance_segmentation_loss_reg: 0.3204 instance_segmentation_loss_poly: 0.8655 detection_loss_cls: 0.0719 detection_loss_reg: 0.4752 grounding_loss_reg: 4.1001 +2023/10/15 20:28:46 - mmengine - INFO - Saving checkpoint at 142500 iterations +2023/10/15 20:43:58 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 20:43:58 - mmengine - INFO - Iter(train) [143000/320000] base_lr: 1.1745e-04 lr: 4.7479e-05 eta: 3 days, 18:46:12 time: 1.9207 data_time: 0.1249 memory: 22136 grad_norm: 0.9927 loss: 1.3991 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6681 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3208 instance_segmentation_loss_poly: 0.8636 detection_loss_cls: 0.0718 detection_loss_reg: 0.4776 grounding_loss_reg: 4.0955 +2023/10/15 20:43:58 - mmengine - INFO - Saving checkpoint at 143000 iterations +2023/10/15 20:59:27 - mmengine - INFO - Iter(train) [143500/320000] base_lr: 1.1697e-04 lr: 4.7290e-05 eta: 3 days, 18:32:03 time: 1.8994 data_time: 0.1254 memory: 22136 grad_norm: 0.9898 loss: 1.4015 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6647 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3214 instance_segmentation_loss_poly: 0.8631 detection_loss_cls: 0.0719 detection_loss_reg: 0.4812 grounding_loss_reg: 4.0896 +2023/10/15 20:59:27 - mmengine - INFO - Saving checkpoint at 143500 iterations +2023/10/15 21:16:03 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 21:16:03 - mmengine - INFO - Iter(train) [144000/320000] base_lr: 1.1649e-04 lr: 4.7101e-05 eta: 3 days, 18:33:50 time: 1.8865 data_time: 0.1257 memory: 22136 grad_norm: 0.9843 loss: 1.3946 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6596 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3210 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0718 detection_loss_reg: 0.4823 grounding_loss_reg: 4.0868 +2023/10/15 21:16:03 - mmengine - INFO - Saving checkpoint at 144000 iterations +2023/10/15 21:32:40 - mmengine - INFO - Iter(train) [144500/320000] base_lr: 1.1601e-04 lr: 4.6912e-05 eta: 3 days, 18:34:11 time: 1.9202 data_time: 0.1396 memory: 22136 grad_norm: 1.0046 loss: 1.3848 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6599 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3224 instance_segmentation_loss_poly: 0.8640 detection_loss_cls: 0.0718 detection_loss_reg: 0.4848 grounding_loss_reg: 4.0836 +2023/10/15 21:32:40 - mmengine - INFO - Saving checkpoint at 144500 iterations +2023/10/15 21:48:29 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 21:48:29 - mmengine - INFO - Iter(train) [145000/320000] base_lr: 1.1553e-04 lr: 4.6723e-05 eta: 3 days, 18:23:02 time: 1.9284 data_time: 0.1400 memory: 22136 grad_norm: 1.0325 loss: 1.3800 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6557 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3227 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0717 detection_loss_reg: 0.4862 grounding_loss_reg: 4.0822 +2023/10/15 21:48:29 - mmengine - INFO - Saving checkpoint at 145000 iterations +2023/10/15 22:03:32 - mmengine - INFO - Iter(train) [145500/320000] base_lr: 1.1505e-04 lr: 4.6533e-05 eta: 3 days, 18:02:00 time: 1.9064 data_time: 0.1391 memory: 22136 grad_norm: 1.0584 loss: 1.3972 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6553 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.3241 instance_segmentation_loss_poly: 0.8664 detection_loss_cls: 0.0713 detection_loss_reg: 0.4860 grounding_loss_reg: 4.0794 +2023/10/15 22:03:32 - mmengine - INFO - Saving checkpoint at 145500 iterations +2023/10/15 22:19:36 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 22:19:36 - mmengine - INFO - Iter(train) [146000/320000] base_lr: 1.1457e-04 lr: 4.6344e-05 eta: 3 days, 17:53:27 time: 1.9051 data_time: 0.1394 memory: 22136 grad_norm: 1.0638 loss: 1.3811 semantic_segmentation_loss_cls: 0.0162 caption_loss_cls: 2.6504 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3230 instance_segmentation_loss_poly: 0.8633 detection_loss_cls: 0.0708 detection_loss_reg: 0.4844 grounding_loss_reg: 4.0768 +2023/10/15 22:19:36 - mmengine - INFO - Saving checkpoint at 146000 iterations +2023/10/15 22:36:17 - mmengine - INFO - Iter(train) [146500/320000] base_lr: 1.1408e-04 lr: 4.6154e-05 eta: 3 days, 17:51:38 time: 1.9125 data_time: 0.1405 memory: 22136 grad_norm: 1.0535 loss: 1.3682 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6412 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3227 instance_segmentation_loss_poly: 0.8624 detection_loss_cls: 0.0707 detection_loss_reg: 0.4844 grounding_loss_reg: 4.0748 +2023/10/15 22:36:17 - mmengine - INFO - Saving checkpoint at 146500 iterations +2023/10/15 22:52:21 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 22:52:21 - mmengine - INFO - Iter(train) [147000/320000] base_lr: 1.1360e-04 lr: 4.5964e-05 eta: 3 days, 17:41:59 time: 1.9253 data_time: 0.1409 memory: 22136 grad_norm: 1.0616 loss: 1.3681 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6397 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3222 instance_segmentation_loss_poly: 0.8617 detection_loss_cls: 0.0703 detection_loss_reg: 0.4833 grounding_loss_reg: 4.0723 +2023/10/15 22:52:21 - mmengine - INFO - Saving checkpoint at 147000 iterations +2023/10/15 23:09:12 - mmengine - INFO - Iter(train) [147500/320000] base_lr: 1.1312e-04 lr: 4.5774e-05 eta: 3 days, 17:40:24 time: 1.9460 data_time: 0.1410 memory: 22136 grad_norm: 1.0415 loss: 1.3532 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6335 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3244 instance_segmentation_loss_poly: 0.8643 detection_loss_cls: 0.0701 detection_loss_reg: 0.4823 grounding_loss_reg: 4.0686 +2023/10/15 23:09:12 - mmengine - INFO - Saving checkpoint at 147500 iterations +2023/10/15 23:25:29 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 23:25:29 - mmengine - INFO - Iter(train) [148000/320000] base_lr: 1.1264e-04 lr: 4.5584e-05 eta: 3 days, 17:31:54 time: 1.9410 data_time: 0.1409 memory: 22136 grad_norm: 1.0394 loss: 1.3634 semantic_segmentation_loss_cls: 0.0161 caption_loss_cls: 2.6307 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_reg: 0.3244 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0699 detection_loss_reg: 0.4821 grounding_loss_reg: 4.0647 +2023/10/15 23:25:29 - mmengine - INFO - Saving checkpoint at 148000 iterations +2023/10/15 23:41:20 - mmengine - INFO - Iter(train) [148500/320000] base_lr: 1.1215e-04 lr: 4.5394e-05 eta: 3 days, 17:18:38 time: 1.9297 data_time: 0.1402 memory: 22136 grad_norm: 1.0217 loss: 1.3768 semantic_segmentation_loss_cls: 0.0160 caption_loss_cls: 2.6237 instance_segmentation_loss_cls: 0.0479 instance_segmentation_loss_reg: 0.3255 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0697 detection_loss_reg: 0.4816 grounding_loss_reg: 4.0624 +2023/10/15 23:41:20 - mmengine - INFO - Saving checkpoint at 148500 iterations +2023/10/15 23:58:40 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/15 23:58:40 - mmengine - INFO - Iter(train) [149000/320000] base_lr: 1.1167e-04 lr: 4.5204e-05 eta: 3 days, 17:19:40 time: 1.9524 data_time: 0.1404 memory: 22136 grad_norm: 0.9818 loss: 1.3656 semantic_segmentation_loss_cls: 0.0160 caption_loss_cls: 2.6278 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_reg: 0.3253 instance_segmentation_loss_poly: 0.8613 detection_loss_cls: 0.0701 detection_loss_reg: 0.4824 grounding_loss_reg: 4.0602 +2023/10/15 23:58:40 - mmengine - INFO - Saving checkpoint at 149000 iterations +2023/10/16 00:14:09 - mmengine - INFO - Iter(train) [149500/320000] base_lr: 1.1119e-04 lr: 4.5014e-05 eta: 3 days, 17:02:17 time: 1.9589 data_time: 0.1408 memory: 22136 grad_norm: 0.9498 loss: 1.3374 semantic_segmentation_loss_cls: 0.0159 caption_loss_cls: 2.6189 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3246 instance_segmentation_loss_poly: 0.8591 detection_loss_cls: 0.0698 detection_loss_reg: 0.4813 grounding_loss_reg: 4.0577 +2023/10/16 00:14:09 - mmengine - INFO - Saving checkpoint at 149500 iterations +2023/10/16 00:30:11 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 00:30:11 - mmengine - INFO - Iter(train) [150000/320000] base_lr: 1.1070e-04 lr: 4.4823e-05 eta: 3 days, 16:49:51 time: 1.9584 data_time: 0.1409 memory: 22136 grad_norm: 0.9534 loss: 1.3561 semantic_segmentation_loss_cls: 0.0159 caption_loss_cls: 2.6147 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3250 instance_segmentation_loss_poly: 0.8604 detection_loss_cls: 0.0703 detection_loss_reg: 0.4834 grounding_loss_reg: 4.0528 +2023/10/16 00:30:11 - mmengine - INFO - Saving checkpoint at 150000 iterations +2023/10/16 00:46:50 - mmengine - INFO - Iter(train) [150500/320000] base_lr: 1.1022e-04 lr: 4.4632e-05 eta: 3 days, 16:42:52 time: 1.9579 data_time: 0.1395 memory: 22136 grad_norm: 0.9473 loss: 1.3648 semantic_segmentation_loss_cls: 0.0159 caption_loss_cls: 2.6091 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3258 instance_segmentation_loss_poly: 0.8608 detection_loss_cls: 0.0700 detection_loss_reg: 0.4820 grounding_loss_reg: 4.0497 +2023/10/16 00:46:50 - mmengine - INFO - Saving checkpoint at 150500 iterations +2023/10/16 01:03:28 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 01:03:28 - mmengine - INFO - Iter(train) [151000/320000] base_lr: 1.0974e-04 lr: 4.4442e-05 eta: 3 days, 16:35:18 time: 1.9665 data_time: 0.1387 memory: 22136 grad_norm: 0.9287 loss: 1.3511 semantic_segmentation_loss_cls: 0.0158 caption_loss_cls: 2.6065 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3258 instance_segmentation_loss_poly: 0.8604 detection_loss_cls: 0.0700 detection_loss_reg: 0.4827 grounding_loss_reg: 4.0457 +2023/10/16 01:03:28 - mmengine - INFO - Saving checkpoint at 151000 iterations +2023/10/16 01:19:22 - mmengine - INFO - Iter(train) [151500/320000] base_lr: 1.0925e-04 lr: 4.4251e-05 eta: 3 days, 16:20:57 time: 1.9521 data_time: 0.1382 memory: 22136 grad_norm: 0.9536 loss: 1.3715 semantic_segmentation_loss_cls: 0.0158 caption_loss_cls: 2.6116 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3269 instance_segmentation_loss_poly: 0.8595 detection_loss_cls: 0.0700 detection_loss_reg: 0.4830 grounding_loss_reg: 4.0426 +2023/10/16 01:19:22 - mmengine - INFO - Saving checkpoint at 151500 iterations +2023/10/16 01:36:01 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 01:36:01 - mmengine - INFO - Iter(train) [152000/320000] base_lr: 1.0877e-04 lr: 4.4060e-05 eta: 3 days, 16:12:45 time: 1.9577 data_time: 0.1380 memory: 22136 grad_norm: 0.9563 loss: 1.3634 semantic_segmentation_loss_cls: 0.0158 caption_loss_cls: 2.6110 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3265 instance_segmentation_loss_poly: 0.8589 detection_loss_cls: 0.0697 detection_loss_reg: 0.4808 grounding_loss_reg: 4.0400 +2023/10/16 01:36:01 - mmengine - INFO - Saving checkpoint at 152000 iterations +2023/10/16 01:52:47 - mmengine - INFO - Iter(train) [152500/320000] base_lr: 1.0828e-04 lr: 4.3869e-05 eta: 3 days, 16:05:01 time: 1.9713 data_time: 0.1382 memory: 22136 grad_norm: 0.9493 loss: 1.3532 semantic_segmentation_loss_cls: 0.0158 caption_loss_cls: 2.6115 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3269 instance_segmentation_loss_poly: 0.8586 detection_loss_cls: 0.0699 detection_loss_reg: 0.4822 grounding_loss_reg: 4.0367 +2023/10/16 01:52:47 - mmengine - INFO - Saving checkpoint at 152500 iterations +2023/10/16 02:09:00 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 02:09:00 - mmengine - INFO - Iter(train) [153000/320000] base_lr: 1.0780e-04 lr: 4.3678e-05 eta: 3 days, 15:52:41 time: 1.9547 data_time: 0.1377 memory: 22136 grad_norm: 0.9602 loss: 1.3437 semantic_segmentation_loss_cls: 0.0157 caption_loss_cls: 2.6120 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3263 instance_segmentation_loss_poly: 0.8583 detection_loss_cls: 0.0695 detection_loss_reg: 0.4792 grounding_loss_reg: 4.0337 +2023/10/16 02:09:00 - mmengine - INFO - Saving checkpoint at 153000 iterations +2023/10/16 02:24:27 - mmengine - INFO - Iter(train) [153500/320000] base_lr: 1.0731e-04 lr: 4.3487e-05 eta: 3 days, 15:34:20 time: 1.9541 data_time: 0.1371 memory: 22136 grad_norm: 0.9845 loss: 1.3524 semantic_segmentation_loss_cls: 0.0157 caption_loss_cls: 2.6072 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3269 instance_segmentation_loss_poly: 0.8576 detection_loss_cls: 0.0692 detection_loss_reg: 0.4786 grounding_loss_reg: 4.0308 +2023/10/16 02:24:27 - mmengine - INFO - Saving checkpoint at 153500 iterations +2023/10/16 02:40:33 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 02:40:33 - mmengine - INFO - Iter(train) [154000/320000] base_lr: 1.0683e-04 lr: 4.3296e-05 eta: 3 days, 15:20:57 time: 1.9554 data_time: 0.1366 memory: 22136 grad_norm: 0.9802 loss: 1.3512 semantic_segmentation_loss_cls: 0.0157 caption_loss_cls: 2.6071 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3270 instance_segmentation_loss_poly: 0.8576 detection_loss_cls: 0.0691 detection_loss_reg: 0.4790 grounding_loss_reg: 4.0299 +2023/10/16 02:40:33 - mmengine - INFO - Saving checkpoint at 154000 iterations +2023/10/16 02:57:10 - mmengine - INFO - Iter(train) [154500/320000] base_lr: 1.0634e-04 lr: 4.3105e-05 eta: 3 days, 15:11:09 time: 1.9549 data_time: 0.1360 memory: 22136 grad_norm: 1.0076 loss: 1.3459 semantic_segmentation_loss_cls: 0.0157 caption_loss_cls: 2.6020 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.3253 instance_segmentation_loss_poly: 0.8548 detection_loss_cls: 0.0689 detection_loss_reg: 0.4772 grounding_loss_reg: 4.0241 +2023/10/16 02:57:11 - mmengine - INFO - Saving checkpoint at 154500 iterations +2023/10/16 03:13:43 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 03:13:43 - mmengine - INFO - Iter(train) [155000/320000] base_lr: 1.0586e-04 lr: 4.2914e-05 eta: 3 days, 15:00:32 time: 1.9534 data_time: 0.1358 memory: 22136 grad_norm: 1.0155 loss: 1.3642 semantic_segmentation_loss_cls: 0.0156 caption_loss_cls: 2.6058 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3260 instance_segmentation_loss_poly: 0.8561 detection_loss_cls: 0.0689 detection_loss_reg: 0.4777 grounding_loss_reg: 4.0233 +2023/10/16 03:13:43 - mmengine - INFO - Saving checkpoint at 155000 iterations +2023/10/16 03:29:53 - mmengine - INFO - Iter(train) [155500/320000] base_lr: 1.0537e-04 lr: 4.2723e-05 eta: 3 days, 14:47:03 time: 1.9575 data_time: 0.1359 memory: 22136 grad_norm: 0.9998 loss: 1.3489 semantic_segmentation_loss_cls: 0.0156 caption_loss_cls: 2.6051 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3257 instance_segmentation_loss_poly: 0.8562 detection_loss_cls: 0.0690 detection_loss_reg: 0.4778 grounding_loss_reg: 4.0201 +2023/10/16 03:29:53 - mmengine - INFO - Saving checkpoint at 155500 iterations +2023/10/16 03:45:50 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 03:45:50 - mmengine - INFO - Iter(train) [156000/320000] base_lr: 1.0489e-04 lr: 4.2532e-05 eta: 3 days, 14:32:03 time: 1.9470 data_time: 0.1355 memory: 22136 grad_norm: 1.0078 loss: 1.3592 semantic_segmentation_loss_cls: 0.0155 caption_loss_cls: 2.6054 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_reg: 0.3254 instance_segmentation_loss_poly: 0.8534 detection_loss_cls: 0.0689 detection_loss_reg: 0.4767 grounding_loss_reg: 4.0185 +2023/10/16 03:45:50 - mmengine - INFO - Saving checkpoint at 156000 iterations +2023/10/16 04:01:46 - mmengine - INFO - Iter(train) [156500/320000] base_lr: 1.0440e-04 lr: 4.2340e-05 eta: 3 days, 14:16:53 time: 1.9346 data_time: 0.1351 memory: 22136 grad_norm: 1.0265 loss: 1.3713 semantic_segmentation_loss_cls: 0.0155 caption_loss_cls: 2.6052 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3251 instance_segmentation_loss_poly: 0.8538 detection_loss_cls: 0.0683 detection_loss_reg: 0.4747 grounding_loss_reg: 4.0158 +2023/10/16 04:01:46 - mmengine - INFO - Saving checkpoint at 156500 iterations +2023/10/16 04:18:25 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 04:18:25 - mmengine - INFO - Iter(train) [157000/320000] base_lr: 1.0392e-04 lr: 4.2149e-05 eta: 3 days, 14:06:13 time: 1.9409 data_time: 0.1344 memory: 22136 grad_norm: 1.0242 loss: 1.3795 semantic_segmentation_loss_cls: 0.0154 caption_loss_cls: 2.6089 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3254 instance_segmentation_loss_poly: 0.8538 detection_loss_cls: 0.0686 detection_loss_reg: 0.4762 grounding_loss_reg: 4.0142 +2023/10/16 04:18:25 - mmengine - INFO - Saving checkpoint at 157000 iterations +2023/10/16 04:35:07 - mmengine - INFO - Iter(train) [157500/320000] base_lr: 1.0343e-04 lr: 4.1957e-05 eta: 3 days, 13:55:44 time: 1.9598 data_time: 0.1342 memory: 22136 grad_norm: 1.0221 loss: 1.3848 semantic_segmentation_loss_cls: 0.0155 caption_loss_cls: 2.6097 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3252 instance_segmentation_loss_poly: 0.8524 detection_loss_cls: 0.0684 detection_loss_reg: 0.4755 grounding_loss_reg: 4.0107 +2023/10/16 04:35:07 - mmengine - INFO - Saving checkpoint at 157500 iterations +2023/10/16 04:51:01 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 04:51:01 - mmengine - INFO - Iter(train) [158000/320000] base_lr: 1.0294e-04 lr: 4.1766e-05 eta: 3 days, 13:40:04 time: 1.9567 data_time: 0.1342 memory: 22136 grad_norm: 1.0154 loss: 1.3735 semantic_segmentation_loss_cls: 0.0154 caption_loss_cls: 2.6099 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3232 instance_segmentation_loss_poly: 0.8487 detection_loss_cls: 0.0685 detection_loss_reg: 0.4757 grounding_loss_reg: 4.0062 +2023/10/16 04:51:01 - mmengine - INFO - Saving checkpoint at 158000 iterations +2023/10/16 05:07:07 - mmengine - INFO - Iter(train) [158500/320000] base_lr: 1.0246e-04 lr: 4.1575e-05 eta: 3 days, 13:25:37 time: 1.9489 data_time: 0.1342 memory: 22136 grad_norm: 0.9998 loss: 1.3925 semantic_segmentation_loss_cls: 0.0154 caption_loss_cls: 2.6120 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.3210 instance_segmentation_loss_poly: 0.8455 detection_loss_cls: 0.0681 detection_loss_reg: 0.4749 grounding_loss_reg: 4.0031 +2023/10/16 05:07:07 - mmengine - INFO - Saving checkpoint at 158500 iterations +2023/10/16 05:23:32 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 05:23:32 - mmengine - INFO - Iter(train) [159000/320000] base_lr: 1.0197e-04 lr: 4.1383e-05 eta: 3 days, 13:12:51 time: 1.9468 data_time: 0.1344 memory: 22136 grad_norm: 1.0009 loss: 1.3790 semantic_segmentation_loss_cls: 0.0154 caption_loss_cls: 2.6068 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.3215 instance_segmentation_loss_poly: 0.8456 detection_loss_cls: 0.0683 detection_loss_reg: 0.4773 grounding_loss_reg: 4.0005 +2023/10/16 05:23:32 - mmengine - INFO - Saving checkpoint at 159000 iterations +2023/10/16 05:40:01 - mmengine - INFO - Iter(train) [159500/320000] base_lr: 1.0149e-04 lr: 4.1192e-05 eta: 3 days, 13:00:27 time: 1.9516 data_time: 0.1338 memory: 22136 grad_norm: 0.9890 loss: 1.3747 semantic_segmentation_loss_cls: 0.0154 caption_loss_cls: 2.6040 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.3207 instance_segmentation_loss_poly: 0.8439 detection_loss_cls: 0.0682 detection_loss_reg: 0.4770 grounding_loss_reg: 3.9975 +2023/10/16 05:40:01 - mmengine - INFO - Saving checkpoint at 159500 iterations +2023/10/16 05:56:47 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 05:56:47 - mmengine - INFO - Iter(train) [160000/320000] base_lr: 1.0100e-04 lr: 4.1000e-05 eta: 3 days, 12:49:29 time: 1.9638 data_time: 0.1336 memory: 22136 grad_norm: 0.9759 loss: 1.3629 semantic_segmentation_loss_cls: 0.0153 caption_loss_cls: 2.6117 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_reg: 0.3195 instance_segmentation_loss_poly: 0.8421 detection_loss_cls: 0.0680 detection_loss_reg: 0.4766 grounding_loss_reg: 3.9932 +2023/10/16 05:56:47 - mmengine - INFO - Saving checkpoint at 160000 iterations +2023/10/16 06:01:21 - mmengine - INFO - Evaluating bbox... +2023/10/16 06:02:23 - mmengine - INFO - bbox_mAP_copypaste: 0.344 0.505 0.370 0.202 0.390 0.452 +2023/10/16 06:02:23 - mmengine - INFO - Evaluating segm... +2023/10/16 06:03:38 - mmengine - INFO - segm_mAP_copypaste: 0.192 0.398 0.165 0.076 0.219 0.341 +2023/10/16 06:04:52 - mmengine - INFO - Evaluating bbox... +2023/10/16 06:05:55 - mmengine - INFO - bbox_mAP_copypaste: 0.345 0.506 0.370 0.204 0.389 0.452 +2023/10/16 06:08:13 - mmengine - INFO - per class results: +2023/10/16 06:08:13 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 68.26 | 84.98 | +| building | 76.63 | 91.77 | +| sky | 89.42 | 98.49 | +| floor | 74.81 | 86.38 | +| tree | 62.2 | 70.31 | +| ceiling | 76.73 | 92.24 | +| road | 78.8 | 87.47 | +| bed | 79.21 | 89.26 | +| windowpane | 51.15 | 72.37 | +| grass | 65.56 | 83.83 | +| cabinet | 50.34 | 68.22 | +| sidewalk | 56.25 | 76.44 | +| person | 73.85 | 86.37 | +| earth | 35.8 | 48.38 | +| door | 31.97 | 56.9 | +| table | 45.53 | 60.77 | +| mountain | 50.95 | 56.05 | +| plant | 42.8 | 54.42 | +| curtain | 59.8 | 68.45 | +| chair | 43.72 | 60.01 | +| car | 78.53 | 89.18 | +| water | 43.63 | 65.58 | +| painting | 62.16 | 82.96 | +| sofa | 51.59 | 82.62 | +| shelf | 29.91 | 39.48 | +| house | 39.92 | 51.04 | +| sea | 42.55 | 66.88 | +| mirror | 43.8 | 50.09 | +| rug | 44.83 | 50.99 | +| field | 24.55 | 34.55 | +| armchair | 15.35 | 16.92 | +| seat | 49.88 | 59.58 | +| fence | 30.66 | 62.64 | +| desk | 31.85 | 46.65 | +| rock | 41.42 | 61.07 | +| wardrobe | 30.89 | 35.13 | +| lamp | 44.15 | 55.22 | +| bathtub | 56.72 | 78.01 | +| railing | 14.38 | 18.32 | +| cushion | 42.82 | 58.95 | +| base | 9.94 | 12.82 | +| box | 18.62 | 26.96 | +| column | 29.04 | 31.7 | +| signboard | 32.14 | 42.52 | +| chest of drawers | 17.76 | 19.34 | +| counter | 25.77 | 33.7 | +| sand | 29.88 | 52.1 | +| sink | 44.66 | 71.48 | +| skyscraper | 35.9 | 38.02 | +| fireplace | 42.66 | 47.94 | +| refrigerator | 49.38 | 66.78 | +| grandstand | 41.22 | 46.51 | +| path | 10.46 | 11.68 | +| stairs | 26.74 | 32.36 | +| runway | 74.6 | 88.55 | +| case | 45.71 | 59.27 | +| pool table | 79.36 | 91.29 | +| pillow | 32.41 | 38.51 | +| screen door | 31.97 | 36.15 | +| stairway | 19.47 | 20.47 | +| river | 12.57 | 16.9 | +| bridge | 28.37 | 34.33 | +| bookcase | 13.97 | 14.87 | +| blind | 11.25 | 11.97 | +| coffee table | 44.62 | 60.11 | +| toilet | 70.15 | 80.47 | +| flower | 23.88 | 52.38 | +| book | 35.96 | 71.77 | +| hill | 9.98 | 18.65 | +| bench | 34.03 | 39.08 | +| countertop | 41.59 | 59.82 | +| stove | 48.15 | 67.35 | +| palm | 29.1 | 67.18 | +| kitchen island | 8.66 | 9.15 | +| computer | 49.73 | 83.36 | +| swivel chair | 31.51 | 42.72 | +| boat | 58.25 | 89.36 | +| bar | 31.0 | 38.91 | +| arcade machine | 32.94 | 37.91 | +| hovel | 15.44 | 22.52 | +| bus | 66.59 | 92.98 | +| towel | 40.03 | 68.28 | +| light | 20.24 | 21.82 | +| truck | 32.84 | 46.13 | +| tower | 3.29 | 3.3 | +| chandelier | 51.53 | 62.26 | +| awning | 18.32 | 32.98 | +| streetlight | 8.87 | 9.64 | +| booth | 22.52 | 22.9 | +| television receiver | 27.67 | 29.15 | +| airplane | 47.15 | 60.85 | +| dirt track | 1.06 | 1.37 | +| apparel | 17.69 | 26.66 | +| pole | 17.4 | 39.53 | +| land | 0.32 | 0.35 | +| bannister | 5.31 | 8.31 | +| escalator | 18.42 | 19.49 | +| ottoman | 27.92 | 38.03 | +| bottle | 17.59 | 26.73 | +| buffet | 27.96 | 31.49 | +| poster | 5.43 | 6.95 | +| stage | 5.52 | 9.04 | +| van | 20.29 | 25.38 | +| ship | 1.52 | 1.52 | +| fountain | 1.55 | 1.6 | +| conveyer belt | 59.85 | 64.74 | +| canopy | 0.02 | 0.02 | +| washer | 46.19 | 46.75 | +| plaything | 18.48 | 24.45 | +| swimming pool | 24.42 | 79.46 | +| stool | 15.53 | 16.72 | +| barrel | 26.43 | 37.26 | +| basket | 19.4 | 22.9 | +| waterfall | 41.64 | 54.82 | +| tent | 81.71 | 96.47 | +| bag | 5.47 | 5.66 | +| minibike | 68.75 | 74.65 | +| cradle | 67.1 | 87.78 | +| oven | 0.7 | 0.71 | +| ball | 45.06 | 57.21 | +| food | 51.76 | 65.08 | +| step | 0.0 | 0.0 | +| tank | 6.95 | 7.67 | +| trade name | 16.17 | 17.92 | +| microwave | 76.07 | 81.79 | +| pot | 30.05 | 33.57 | +| animal | 51.3 | 57.41 | +| bicycle | 53.9 | 79.68 | +| lake | 0.0 | 0.0 | +| dishwasher | 28.56 | 32.93 | +| screen | 57.62 | 78.91 | +| blanket | 0.0 | 0.0 | +| sculpture | 31.54 | 43.26 | +| hood | 20.19 | 21.03 | +| sconce | 11.77 | 13.35 | +| vase | 20.07 | 50.0 | +| traffic light | 19.97 | 25.69 | +| tray | 2.07 | 2.22 | +| ashcan | 28.22 | 43.76 | +| fan | 29.08 | 33.8 | +| pier | 16.69 | 19.07 | +| crt screen | 0.0 | 0.0 | +| plate | 38.58 | 48.68 | +| monitor | 3.64 | 4.78 | +| bulletin board | 20.85 | 37.88 | +| shower | 5.03 | 9.65 | +| radiator | 18.53 | 18.73 | +| glass | 5.33 | 5.5 | +| clock | 12.69 | 15.61 | +| flag | 31.91 | 37.97 | ++---------------------+-------+-------+ +2023/10/16 06:08:20 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.3450 coco/bbox_mAP_50: 0.5060 coco/bbox_mAP_75: 0.3700 coco/bbox_mAP_s: 0.2040 coco/bbox_mAP_m: 0.3890 coco/bbox_mAP_l: 0.4520 coco/segm_mAP: 0.1920 coco/segm_mAP_50: 0.3980 coco/segm_mAP_75: 0.1650 coco/segm_mAP_s: 0.0760 coco/segm_mAP_m: 0.2190 coco/segm_mAP_l: 0.3410 Bleu_1: 0.6824 Bleu_2: 0.5028 Bleu_3: 0.3644 Bleu_4: 0.2631 METEOR: 0.2310 ROUGE_L: 0.4970 CIDEr: 0.8362 SPICE: 0.1628 aAcc: 76.6000 mIoU: 33.8600 mAcc: 44.1900 visual-grounding/miou: 0.5666 visual-grounding/acc: 0.6501 data_time: 0.0162 time: 0.5186 +2023/10/16 06:23:49 - mmengine - INFO - Iter(train) [160500/320000] base_lr: 1.0052e-04 lr: 4.0809e-05 eta: 3 days, 12:31:31 time: 1.9578 data_time: 0.1202 memory: 22136 grad_norm: 0.9636 loss: 1.3581 semantic_segmentation_loss_cls: 0.0153 caption_loss_cls: 2.6173 instance_segmentation_loss_cls: 0.0462 instance_segmentation_loss_reg: 0.3199 instance_segmentation_loss_poly: 0.8431 detection_loss_cls: 0.0681 detection_loss_reg: 0.4769 grounding_loss_reg: 3.9923 +2023/10/16 06:23:49 - mmengine - INFO - Saving checkpoint at 160500 iterations +2023/10/16 06:41:38 - mmengine - INFO - Exp name: univision_joint_all_20231015_141224 +2023/10/16 06:41:38 - mmengine - INFO - Iter(train) [161000/320000] base_lr: 1.0003e-04 lr: 4.0618e-05 eta: 3 days, 12:25:53 time: 1.9753 data_time: 0.1211 memory: 22136 grad_norm: 0.9499 loss: 1.3526 semantic_segmentation_loss_cls: 0.0153 caption_loss_cls: 2.6193 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_reg: 0.3185 instance_segmentation_loss_poly: 0.8410 detection_loss_cls: 0.0682 detection_loss_reg: 0.4777 grounding_loss_reg: 3.9914 +2023/10/16 06:41:38 - mmengine - INFO - Saving checkpoint at 161000 iterations +2023/10/16 06:58:31 - mmengine - INFO - Iter(train) [161500/320000] base_lr: 9.9543e-05 lr: 4.0426e-05 eta: 3 days, 12:14:59 time: 1.9779 data_time: 0.1217 memory: 21619 grad_norm: 0.9209 loss: 1.3380 semantic_segmentation_loss_cls: 0.0152 caption_loss_cls: 2.6202 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_reg: 0.3183 instance_segmentation_loss_poly: 0.8408 detection_loss_cls: 0.0678 detection_loss_reg: 0.4761 grounding_loss_reg: 3.9894 +2023/10/16 06:58:31 - mmengine - INFO - Saving checkpoint at 161500 iterations +2023/10/20 09:27:41 - mmengine - INFO - Iter(train) [162000/320000] base_lr: 9.9057e-05 lr: 4.0235e-05 eta: 2 days, 8:18:56 time: 1.8999 data_time: 0.1091 memory: 22140 grad_norm: 0.8992 loss: 1.3274 semantic_segmentation_loss_cls: 0.0152 caption_loss_cls: 2.6230 instance_segmentation_loss_cls: 0.0455 instance_segmentation_loss_reg: 0.3172 instance_segmentation_loss_poly: 0.8382 detection_loss_cls: 0.0675 detection_loss_reg: 0.4769 grounding_loss_reg: 3.9869 +2023/10/20 09:27:41 - mmengine - INFO - Saving checkpoint at 162000 iterations +2023/10/20 09:39:56 - mmengine - INFO - Iter(train) [162500/320000] base_lr: 9.8571e-05 lr: 4.0043e-05 eta: 2 days, 12:13:14 time: 1.8421 data_time: 0.1096 memory: 22140 grad_norm: 0.8908 loss: 1.3200 semantic_segmentation_loss_cls: 0.0152 caption_loss_cls: 2.6208 instance_segmentation_loss_cls: 0.0455 instance_segmentation_loss_reg: 0.3170 instance_segmentation_loss_poly: 0.8372 detection_loss_cls: 0.0672 detection_loss_reg: 0.4750 grounding_loss_reg: 3.9261 +2023/10/20 09:39:56 - mmengine - INFO - Saving checkpoint at 162500 iterations +2023/10/20 09:54:50 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 09:54:50 - mmengine - INFO - Iter(train) [163000/320000] base_lr: 9.8086e-05 lr: 3.9852e-05 eta: 2 days, 17:59:34 time: 1.8194 data_time: 0.1131 memory: 22140 grad_norm: 0.8692 loss: 1.3116 semantic_segmentation_loss_cls: 0.0152 caption_loss_cls: 2.6211 instance_segmentation_loss_cls: 0.0454 instance_segmentation_loss_reg: 0.3173 instance_segmentation_loss_poly: 0.8391 detection_loss_cls: 0.0672 detection_loss_reg: 0.4740 grounding_loss_reg: 3.9239 +2023/10/20 09:54:50 - mmengine - INFO - Saving checkpoint at 163000 iterations +2023/10/20 10:08:35 - mmengine - INFO - Iter(train) [163500/320000] base_lr: 9.7600e-05 lr: 3.9661e-05 eta: 2 days, 19:16:15 time: 1.7784 data_time: 0.1139 memory: 22140 grad_norm: 0.8562 loss: 1.2851 semantic_segmentation_loss_cls: 0.0152 caption_loss_cls: 2.6174 instance_segmentation_loss_cls: 0.0455 instance_segmentation_loss_reg: 0.3177 instance_segmentation_loss_poly: 0.8402 detection_loss_cls: 0.0670 detection_loss_reg: 0.4732 grounding_loss_reg: 3.9211 +2023/10/20 10:08:35 - mmengine - INFO - Saving checkpoint at 163500 iterations +2023/10/20 10:23:08 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 10:23:08 - mmengine - INFO - Iter(train) [164000/320000] base_lr: 9.7114e-05 lr: 3.9469e-05 eta: 2 days, 20:46:17 time: 1.7451 data_time: 0.1143 memory: 22140 grad_norm: 0.8338 loss: 1.2619 semantic_segmentation_loss_cls: 0.0151 caption_loss_cls: 2.6163 instance_segmentation_loss_cls: 0.0455 instance_segmentation_loss_reg: 0.3179 instance_segmentation_loss_poly: 0.8412 detection_loss_cls: 0.0669 detection_loss_reg: 0.4724 grounding_loss_reg: 3.9193 +2023/10/20 10:23:08 - mmengine - INFO - Saving checkpoint at 164000 iterations +2023/10/20 10:39:16 - mmengine - INFO - Iter(train) [164500/320000] base_lr: 9.6629e-05 lr: 3.9278e-05 eta: 2 days, 23:03:49 time: 1.7542 data_time: 0.1275 memory: 22140 grad_norm: 0.8055 loss: 1.2362 semantic_segmentation_loss_cls: 0.0151 caption_loss_cls: 2.6171 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_reg: 0.3168 instance_segmentation_loss_poly: 0.8383 detection_loss_cls: 0.0665 detection_loss_reg: 0.4718 grounding_loss_reg: 3.8941 +2023/10/20 10:39:16 - mmengine - INFO - Saving checkpoint at 164500 iterations +2023/10/20 10:55:17 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 10:55:17 - mmengine - INFO - Iter(train) [165000/320000] base_lr: 9.6143e-05 lr: 3.9087e-05 eta: 3 days, 0:31:48 time: 1.7273 data_time: 0.1266 memory: 22140 grad_norm: 0.8016 loss: 1.2242 semantic_segmentation_loss_cls: 0.0151 caption_loss_cls: 2.6163 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_reg: 0.3167 instance_segmentation_loss_poly: 0.8386 detection_loss_cls: 0.0667 detection_loss_reg: 0.4716 grounding_loss_reg: 3.8735 +2023/10/20 10:55:17 - mmengine - INFO - Saving checkpoint at 165000 iterations +2023/10/20 11:11:18 - mmengine - INFO - Iter(train) [165500/320000] base_lr: 9.5658e-05 lr: 3.8896e-05 eta: 3 days, 1:34:34 time: 1.7144 data_time: 0.1261 memory: 22140 grad_norm: 0.7993 loss: 1.2215 semantic_segmentation_loss_cls: 0.0151 caption_loss_cls: 2.6118 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_reg: 0.3165 instance_segmentation_loss_poly: 0.8390 detection_loss_cls: 0.0667 detection_loss_reg: 0.4729 grounding_loss_reg: 3.8699 +2023/10/20 11:11:18 - 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mmengine - INFO - Saving checkpoint at 166500 iterations +2023/10/20 12:01:39 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 12:01:39 - mmengine - INFO - Iter(train) [167000/320000] base_lr: 9.4203e-05 lr: 3.8322e-05 eta: 3 days, 4:19:52 time: 1.9021 data_time: 0.1348 memory: 22140 grad_norm: 0.7765 loss: 1.1869 semantic_segmentation_loss_cls: 0.0150 caption_loss_cls: 2.6023 instance_segmentation_loss_cls: 0.0451 instance_segmentation_loss_reg: 0.3179 instance_segmentation_loss_poly: 0.8382 detection_loss_cls: 0.0665 detection_loss_reg: 0.4756 grounding_loss_reg: 3.8598 +2023/10/20 12:01:39 - mmengine - INFO - Saving checkpoint at 167000 iterations +2023/10/20 12:20:01 - mmengine - INFO - Iter(train) [167500/320000] base_lr: 9.3718e-05 lr: 3.8131e-05 eta: 3 days, 5:31:09 time: 1.9712 data_time: 0.1369 memory: 21623 grad_norm: 0.7783 loss: 1.1994 semantic_segmentation_loss_cls: 0.0150 caption_loss_cls: 2.6013 instance_segmentation_loss_cls: 0.0449 instance_segmentation_loss_reg: 0.3172 instance_segmentation_loss_poly: 0.8363 detection_loss_cls: 0.0667 detection_loss_reg: 0.4768 grounding_loss_reg: 3.8554 +2023/10/20 12:20:01 - mmengine - INFO - Saving checkpoint at 167500 iterations +2023/10/20 12:37:19 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 12:37:19 - mmengine - INFO - Iter(train) [168000/320000] base_lr: 9.3234e-05 lr: 3.7940e-05 eta: 3 days, 6:03:40 time: 2.0124 data_time: 0.1370 memory: 22140 grad_norm: 0.7866 loss: 1.2074 semantic_segmentation_loss_cls: 0.0150 caption_loss_cls: 2.5974 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_reg: 0.3166 instance_segmentation_loss_poly: 0.8353 detection_loss_cls: 0.0665 detection_loss_reg: 0.4770 grounding_loss_reg: 3.8545 +2023/10/20 12:37:19 - mmengine - INFO - Saving checkpoint at 168000 iterations +2023/10/20 12:53:22 - mmengine - INFO - Iter(train) [168500/320000] base_lr: 9.2749e-05 lr: 3.7750e-05 eta: 3 days, 6:01:59 time: 2.0110 data_time: 0.1371 memory: 22140 grad_norm: 0.7975 loss: 1.2134 semantic_segmentation_loss_cls: 0.0150 caption_loss_cls: 2.5950 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_reg: 0.3169 instance_segmentation_loss_poly: 0.8352 detection_loss_cls: 0.0660 detection_loss_reg: 0.4756 grounding_loss_reg: 3.8512 +2023/10/20 12:53:22 - mmengine - INFO - Saving checkpoint at 168500 iterations +2023/10/20 13:10:22 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 13:10:22 - mmengine - INFO - Iter(train) [169000/320000] base_lr: 9.2265e-05 lr: 3.7559e-05 eta: 3 days, 6:17:43 time: 2.0260 data_time: 0.1373 memory: 22140 grad_norm: 0.8039 loss: 1.2256 semantic_segmentation_loss_cls: 0.0149 caption_loss_cls: 2.5938 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_reg: 0.3172 instance_segmentation_loss_poly: 0.8361 detection_loss_cls: 0.0658 detection_loss_reg: 0.4761 grounding_loss_reg: 3.8468 +2023/10/20 13:10:22 - mmengine - INFO - Saving checkpoint at 169000 iterations +2023/10/20 13:27:56 - mmengine - INFO - Iter(train) [169500/320000] base_lr: 9.1781e-05 lr: 3.7368e-05 eta: 3 days, 6:40:03 time: 2.0491 data_time: 0.1377 memory: 22140 grad_norm: 0.8025 loss: 1.2232 semantic_segmentation_loss_cls: 0.0149 caption_loss_cls: 2.5880 instance_segmentation_loss_cls: 0.0443 instance_segmentation_loss_reg: 0.3168 instance_segmentation_loss_poly: 0.8344 detection_loss_cls: 0.0657 detection_loss_reg: 0.4759 grounding_loss_reg: 3.8434 +2023/10/20 13:27:56 - mmengine - INFO - Saving checkpoint at 169500 iterations +2023/10/20 13:45:47 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 13:45:47 - mmengine - INFO - Iter(train) [170000/320000] base_lr: 9.1297e-05 lr: 3.7178e-05 eta: 3 days, 7:02:33 time: 2.0683 data_time: 0.1375 memory: 22140 grad_norm: 0.7992 loss: 1.2217 semantic_segmentation_loss_cls: 0.0149 caption_loss_cls: 2.5879 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_reg: 0.3185 instance_segmentation_loss_poly: 0.8378 detection_loss_cls: 0.0657 detection_loss_reg: 0.4745 grounding_loss_reg: 3.8404 +2023/10/20 13:45:47 - mmengine - INFO - Saving checkpoint at 170000 iterations +2023/10/20 14:02:49 - mmengine - INFO - Iter(train) [170500/320000] base_lr: 9.0814e-05 lr: 3.6987e-05 eta: 3 days, 7:07:10 time: 2.0703 data_time: 0.1377 memory: 22140 grad_norm: 0.8126 loss: 1.2292 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5830 instance_segmentation_loss_cls: 0.0448 instance_segmentation_loss_reg: 0.3200 instance_segmentation_loss_poly: 0.8413 detection_loss_cls: 0.0653 detection_loss_reg: 0.4713 grounding_loss_reg: 3.8344 +2023/10/20 14:02:49 - mmengine - INFO - Saving checkpoint at 170500 iterations +2023/10/20 14:19:40 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 14:19:40 - mmengine - INFO - Iter(train) [171000/320000] base_lr: 9.0331e-05 lr: 3.6797e-05 eta: 3 days, 7:06:26 time: 2.0698 data_time: 0.1375 memory: 22140 grad_norm: 0.8221 loss: 1.2335 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5786 instance_segmentation_loss_cls: 0.0447 instance_segmentation_loss_reg: 0.3190 instance_segmentation_loss_poly: 0.8398 detection_loss_cls: 0.0652 detection_loss_reg: 0.4719 grounding_loss_reg: 3.8313 +2023/10/20 14:19:40 - mmengine - INFO - Saving checkpoint at 171000 iterations +2023/10/20 14:37:19 - mmengine - INFO - Iter(train) [171500/320000] base_lr: 8.9847e-05 lr: 3.6607e-05 eta: 3 days, 7:16:06 time: 2.0592 data_time: 0.1349 memory: 22140 grad_norm: 0.8275 loss: 1.2346 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5748 instance_segmentation_loss_cls: 0.0447 instance_segmentation_loss_reg: 0.3193 instance_segmentation_loss_poly: 0.8404 detection_loss_cls: 0.0650 detection_loss_reg: 0.4700 grounding_loss_reg: 3.8269 +2023/10/20 14:37:19 - mmengine - INFO - Saving checkpoint at 171500 iterations +2023/10/20 14:54:44 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 14:54:44 - mmengine - INFO - Iter(train) [172000/320000] base_lr: 8.9365e-05 lr: 3.6416e-05 eta: 3 days, 7:19:42 time: 2.0609 data_time: 0.1343 memory: 22140 grad_norm: 0.8366 loss: 1.2363 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5721 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_reg: 0.3185 instance_segmentation_loss_poly: 0.8386 detection_loss_cls: 0.0648 detection_loss_reg: 0.4686 grounding_loss_reg: 3.8234 +2023/10/20 14:54:44 - mmengine - INFO - Saving checkpoint at 172000 iterations +2023/10/20 15:12:12 - mmengine - INFO - Iter(train) [172500/320000] base_lr: 8.8882e-05 lr: 3.6226e-05 eta: 3 days, 7:22:17 time: 2.0824 data_time: 0.1339 memory: 22140 grad_norm: 0.8343 loss: 1.2299 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5669 instance_segmentation_loss_cls: 0.0443 instance_segmentation_loss_reg: 0.3184 instance_segmentation_loss_poly: 0.8373 detection_loss_cls: 0.0645 detection_loss_reg: 0.4675 grounding_loss_reg: 3.8199 +2023/10/20 15:12:12 - mmengine - INFO - Saving checkpoint at 172500 iterations +2023/10/20 15:29:21 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 15:29:21 - mmengine - INFO - Iter(train) [173000/320000] base_lr: 8.8400e-05 lr: 3.6036e-05 eta: 3 days, 7:18:46 time: 2.0843 data_time: 0.1339 memory: 22140 grad_norm: 0.8310 loss: 1.2223 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5646 instance_segmentation_loss_cls: 0.0444 instance_segmentation_loss_reg: 0.3189 instance_segmentation_loss_poly: 0.8367 detection_loss_cls: 0.0645 detection_loss_reg: 0.4681 grounding_loss_reg: 3.8173 +2023/10/20 15:29:21 - mmengine - INFO - Saving checkpoint at 173000 iterations +2023/10/20 15:47:33 - mmengine - INFO - Iter(train) [173500/320000] base_lr: 8.7918e-05 lr: 3.5847e-05 eta: 3 days, 7:27:10 time: 2.0938 data_time: 0.1336 memory: 22140 grad_norm: 0.8411 loss: 1.2246 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5589 instance_segmentation_loss_cls: 0.0443 instance_segmentation_loss_reg: 0.3179 instance_segmentation_loss_poly: 0.8352 detection_loss_cls: 0.0641 detection_loss_reg: 0.4669 grounding_loss_reg: 3.8147 +2023/10/20 15:47:33 - mmengine - INFO - Saving checkpoint at 173500 iterations +2023/10/20 16:05:01 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 16:05:01 - mmengine - INFO - Iter(train) [174000/320000] base_lr: 8.7437e-05 lr: 3.5657e-05 eta: 3 days, 7:24:50 time: 2.0881 data_time: 0.1337 memory: 22140 grad_norm: 0.8439 loss: 1.2212 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5547 instance_segmentation_loss_cls: 0.0443 instance_segmentation_loss_reg: 0.3174 instance_segmentation_loss_poly: 0.8361 detection_loss_cls: 0.0640 detection_loss_reg: 0.4668 grounding_loss_reg: 3.8124 +2023/10/20 16:05:01 - mmengine - INFO - Saving checkpoint at 174000 iterations +2023/10/20 16:22:49 - mmengine - INFO - Iter(train) [174500/320000] base_lr: 8.6956e-05 lr: 3.5467e-05 eta: 3 days, 7:25:09 time: 2.0996 data_time: 0.1338 memory: 22140 grad_norm: 0.8379 loss: 1.2125 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5575 instance_segmentation_loss_cls: 0.0442 instance_segmentation_loss_reg: 0.3173 instance_segmentation_loss_poly: 0.8337 detection_loss_cls: 0.0636 detection_loss_reg: 0.4649 grounding_loss_reg: 3.8079 +2023/10/20 16:22:49 - mmengine - INFO - Saving checkpoint at 174500 iterations +2023/10/20 16:40:01 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 16:40:01 - mmengine - INFO - Iter(train) [175000/320000] base_lr: 8.6475e-05 lr: 3.5278e-05 eta: 3 days, 7:17:33 time: 2.1048 data_time: 0.1339 memory: 22140 grad_norm: 0.8327 loss: 1.2126 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5584 instance_segmentation_loss_cls: 0.0440 instance_segmentation_loss_reg: 0.3168 instance_segmentation_loss_poly: 0.8318 detection_loss_cls: 0.0636 detection_loss_reg: 0.4646 grounding_loss_reg: 3.8036 +2023/10/20 16:40:01 - mmengine - INFO - Saving checkpoint at 175000 iterations +2023/10/20 16:56:29 - mmengine - INFO - Iter(train) [175500/320000] base_lr: 8.5994e-05 lr: 3.5089e-05 eta: 3 days, 7:01:48 time: 2.0871 data_time: 0.1333 memory: 22140 grad_norm: 0.8336 loss: 1.2195 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5540 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_reg: 0.3168 instance_segmentation_loss_poly: 0.8318 detection_loss_cls: 0.0633 detection_loss_reg: 0.4621 grounding_loss_reg: 3.8032 +2023/10/20 16:56:29 - mmengine - INFO - Saving checkpoint at 175500 iterations +2023/10/20 17:14:00 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 17:14:00 - mmengine - INFO - Iter(train) [176000/320000] base_lr: 8.5514e-05 lr: 3.4899e-05 eta: 3 days, 6:56:17 time: 2.0885 data_time: 0.1330 memory: 22140 grad_norm: 0.8193 loss: 1.2093 semantic_segmentation_loss_cls: 0.0148 caption_loss_cls: 2.5504 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_reg: 0.3153 instance_segmentation_loss_poly: 0.8303 detection_loss_cls: 0.0631 detection_loss_reg: 0.4615 grounding_loss_reg: 3.7990 +2023/10/20 17:14:00 - mmengine - INFO - Saving checkpoint at 176000 iterations +2023/10/20 17:31:31 - mmengine - INFO - Iter(train) [176500/320000] base_lr: 8.5034e-05 lr: 3.4710e-05 eta: 3 days, 6:50:10 time: 2.0894 data_time: 0.1334 memory: 22140 grad_norm: 0.8045 loss: 1.1951 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5453 instance_segmentation_loss_cls: 0.0434 instance_segmentation_loss_reg: 0.3144 instance_segmentation_loss_poly: 0.8290 detection_loss_cls: 0.0628 detection_loss_reg: 0.4618 grounding_loss_reg: 3.7950 +2023/10/20 17:31:31 - mmengine - INFO - Saving checkpoint at 176500 iterations +2023/10/20 17:48:56 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 17:48:56 - mmengine - INFO - Iter(train) [177000/320000] base_lr: 8.4555e-05 lr: 3.4522e-05 eta: 3 days, 6:42:15 time: 2.0935 data_time: 0.1338 memory: 22140 grad_norm: 0.7973 loss: 1.1904 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5423 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_reg: 0.3137 instance_segmentation_loss_poly: 0.8280 detection_loss_cls: 0.0627 detection_loss_reg: 0.4611 grounding_loss_reg: 3.7895 +2023/10/20 17:48:56 - mmengine - INFO - Saving checkpoint at 177000 iterations +2023/10/20 18:08:03 - mmengine - INFO - Iter(train) [177500/320000] base_lr: 8.4076e-05 lr: 3.4333e-05 eta: 3 days, 6:48:54 time: 2.1072 data_time: 0.1347 memory: 22140 grad_norm: 0.7810 loss: 1.1790 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5400 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_reg: 0.3142 instance_segmentation_loss_poly: 0.8280 detection_loss_cls: 0.0624 detection_loss_reg: 0.4605 grounding_loss_reg: 3.7861 +2023/10/20 18:08:03 - mmengine - INFO - Saving checkpoint at 177500 iterations +2023/10/20 18:25:06 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 18:25:06 - mmengine - INFO - Iter(train) [178000/320000] base_lr: 8.3597e-05 lr: 3.4144e-05 eta: 3 days, 6:36:17 time: 2.1011 data_time: 0.1347 memory: 22140 grad_norm: 0.7874 loss: 1.1898 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5405 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_reg: 0.3136 instance_segmentation_loss_poly: 0.8267 detection_loss_cls: 0.0623 detection_loss_reg: 0.4608 grounding_loss_reg: 3.7825 +2023/10/20 18:25:06 - mmengine - INFO - Saving checkpoint at 178000 iterations +2023/10/20 18:42:11 - mmengine - INFO - Iter(train) [178500/320000] base_lr: 8.3119e-05 lr: 3.3956e-05 eta: 3 days, 6:23:35 time: 2.0902 data_time: 0.1341 memory: 22140 grad_norm: 0.7954 loss: 1.2033 semantic_segmentation_loss_cls: 0.0146 caption_loss_cls: 2.5404 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_reg: 0.3153 instance_segmentation_loss_poly: 0.8277 detection_loss_cls: 0.0621 detection_loss_reg: 0.4608 grounding_loss_reg: 3.7792 +2023/10/20 18:42:11 - mmengine - INFO - Saving checkpoint at 178500 iterations +2023/10/20 18:59:59 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 18:59:59 - mmengine - INFO - Iter(train) [179000/320000] base_lr: 8.2641e-05 lr: 3.3768e-05 eta: 3 days, 6:16:25 time: 2.0992 data_time: 0.1343 memory: 22140 grad_norm: 0.7926 loss: 1.1983 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5413 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_reg: 0.3162 instance_segmentation_loss_poly: 0.8288 detection_loss_cls: 0.0622 detection_loss_reg: 0.4603 grounding_loss_reg: 3.7764 +2023/10/20 18:59:59 - mmengine - INFO - Saving checkpoint at 179000 iterations +2023/10/20 19:16:05 - mmengine - INFO - Iter(train) [179500/320000] base_lr: 8.2164e-05 lr: 3.3580e-05 eta: 3 days, 5:55:27 time: 2.0937 data_time: 0.1350 memory: 22140 grad_norm: 0.7784 loss: 1.1810 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5453 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_reg: 0.3158 instance_segmentation_loss_poly: 0.8293 detection_loss_cls: 0.0624 detection_loss_reg: 0.4609 grounding_loss_reg: 3.7752 +2023/10/20 19:16:05 - mmengine - INFO - Saving checkpoint at 179500 iterations +2023/10/20 19:32:40 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 19:32:40 - mmengine - INFO - Iter(train) [180000/320000] base_lr: 8.1687e-05 lr: 3.3392e-05 eta: 3 days, 5:38:21 time: 2.0798 data_time: 0.1356 memory: 22140 grad_norm: 0.8020 loss: 1.1958 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5443 instance_segmentation_loss_cls: 0.0434 instance_segmentation_loss_reg: 0.3152 instance_segmentation_loss_poly: 0.8269 detection_loss_cls: 0.0624 detection_loss_reg: 0.4614 grounding_loss_reg: 3.7734 +2023/10/20 19:32:40 - mmengine - INFO - Saving checkpoint at 180000 iterations +2023/10/20 19:37:13 - mmengine - INFO - Evaluating bbox... +2023/10/20 19:38:13 - mmengine - INFO - bbox_mAP_copypaste: 0.366 0.529 0.392 0.222 0.407 0.492 +2023/10/20 19:38:13 - mmengine - INFO - Evaluating segm... +2023/10/20 19:39:30 - mmengine - INFO - segm_mAP_copypaste: 0.221 0.439 0.205 0.120 0.261 0.323 +2023/10/20 19:40:47 - mmengine - INFO - Evaluating bbox... +2023/10/20 19:41:51 - mmengine - INFO - bbox_mAP_copypaste: 0.366 0.529 0.390 0.223 0.405 0.493 +2023/10/20 19:43:37 - mmengine - INFO - per class results: +2023/10/20 19:43:37 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 70.21 | 87.16 | +| building | 78.44 | 88.66 | +| sky | 91.74 | 96.89 | +| floor | 75.69 | 85.32 | +| tree | 69.97 | 86.89 | +| ceiling | 76.74 | 84.98 | +| road | 78.45 | 87.1 | +| bed | 80.8 | 90.92 | +| windowpane | 51.37 | 76.5 | +| grass | 52.94 | 60.01 | +| cabinet | 51.44 | 61.68 | +| sidewalk | 58.15 | 74.37 | +| person | 75.18 | 89.37 | +| earth | 28.89 | 38.37 | +| door | 34.59 | 51.74 | +| table | 46.33 | 68.7 | +| mountain | 58.29 | 79.03 | +| plant | 45.68 | 64.77 | +| curtain | 62.52 | 77.84 | +| chair | 45.74 | 65.29 | +| car | 77.48 | 87.51 | +| water | 49.98 | 67.27 | +| painting | 62.94 | 72.55 | +| sofa | 58.79 | 78.88 | +| shelf | 34.78 | 54.44 | +| house | 31.35 | 36.48 | +| sea | 51.14 | 74.79 | +| mirror | 43.5 | 46.96 | +| rug | 49.03 | 60.37 | +| field | 23.88 | 65.68 | +| armchair | 36.63 | 51.23 | +| seat | 53.9 | 64.89 | +| fence | 33.97 | 44.94 | +| desk | 26.71 | 36.22 | +| rock | 44.13 | 56.44 | +| wardrobe | 41.51 | 60.03 | +| lamp | 48.87 | 64.44 | +| bathtub | 63.43 | 76.5 | +| railing | 25.45 | 32.6 | +| cushion | 43.35 | 54.5 | +| base | 10.37 | 13.53 | +| box | 19.85 | 26.86 | +| column | 30.98 | 35.15 | +| signboard | 28.8 | 33.53 | +| chest of drawers | 32.73 | 62.21 | +| counter | 30.99 | 50.55 | +| sand | 29.02 | 48.18 | +| sink | 55.5 | 62.03 | +| skyscraper | 53.81 | 66.69 | +| fireplace | 51.85 | 59.59 | +| refrigerator | 48.41 | 75.25 | +| grandstand | 36.39 | 70.99 | +| path | 14.36 | 17.1 | +| stairs | 28.77 | 47.77 | +| runway | 75.87 | 79.64 | +| case | 47.32 | 59.41 | +| pool table | 83.33 | 96.67 | +| pillow | 35.75 | 42.28 | +| screen door | 29.16 | 31.49 | +| stairway | 8.75 | 8.91 | +| river | 10.19 | 10.87 | +| bridge | 33.51 | 38.87 | +| bookcase | 33.68 | 44.37 | +| blind | 14.28 | 14.92 | +| coffee table | 49.34 | 70.78 | +| toilet | 74.61 | 87.28 | +| flower | 25.89 | 45.44 | +| book | 38.64 | 56.12 | +| hill | 10.96 | 22.09 | +| bench | 38.02 | 47.05 | +| countertop | 44.54 | 65.15 | +| stove | 54.34 | 80.61 | +| palm | 38.87 | 58.55 | +| kitchen island | 31.94 | 74.74 | +| computer | 49.88 | 61.18 | +| swivel chair | 34.97 | 55.9 | +| boat | 69.17 | 91.37 | +| bar | 33.73 | 38.17 | +| arcade machine | 30.55 | 77.47 | +| hovel | 8.08 | 8.79 | +| bus | 68.94 | 93.26 | +| towel | 44.39 | 64.01 | +| light | 34.24 | 41.5 | +| truck | 28.45 | 68.27 | +| tower | 30.13 | 42.82 | +| chandelier | 53.98 | 71.53 | +| awning | 0.64 | 0.64 | +| streetlight | 10.77 | 11.57 | +| booth | 36.16 | 37.24 | +| television receiver | 52.72 | 64.94 | +| airplane | 51.39 | 65.0 | +| dirt track | 0.0 | 0.0 | +| apparel | 15.85 | 22.94 | +| pole | 19.71 | 27.8 | +| land | 0.0 | 0.0 | +| bannister | 8.24 | 10.87 | +| escalator | 24.44 | 31.87 | +| ottoman | 36.71 | 47.16 | +| bottle | 14.04 | 16.39 | +| buffet | 39.98 | 43.27 | +| poster | 10.0 | 11.77 | +| stage | 8.04 | 14.13 | +| van | 23.91 | 27.74 | +| ship | 7.38 | 7.59 | +| fountain | 5.02 | 5.21 | +| conveyer belt | 63.98 | 77.22 | +| canopy | 10.57 | 15.11 | +| washer | 45.89 | 57.76 | +| plaything | 20.0 | 32.23 | +| swimming pool | 22.89 | 33.47 | +| stool | 29.27 | 37.97 | +| barrel | 15.62 | 41.98 | +| basket | 28.36 | 40.13 | +| waterfall | 62.39 | 94.21 | +| tent | 75.46 | 95.41 | +| bag | 10.52 | 15.69 | +| minibike | 68.31 | 81.68 | +| cradle | 68.58 | 91.94 | +| oven | 15.53 | 21.16 | +| ball | 43.26 | 71.7 | +| food | 43.97 | 52.45 | +| step | 0.0 | 0.0 | +| tank | 18.8 | 19.34 | +| trade name | 20.74 | 23.09 | +| microwave | 79.04 | 86.53 | +| pot | 40.66 | 50.95 | +| animal | 50.41 | 54.65 | +| bicycle | 54.34 | 81.74 | +| lake | 1.54 | 1.65 | +| dishwasher | 30.95 | 75.38 | +| screen | 59.01 | 82.55 | +| blanket | 0.0 | 0.0 | +| sculpture | 28.09 | 32.09 | +| hood | 34.51 | 43.04 | +| sconce | 5.28 | 5.39 | +| vase | 29.29 | 41.11 | +| traffic light | 23.54 | 32.26 | +| tray | 5.2 | 6.23 | +| ashcan | 26.0 | 60.9 | +| fan | 40.88 | 59.17 | +| pier | 29.25 | 30.0 | +| crt screen | 0.7 | 2.11 | +| plate | 39.56 | 55.23 | +| monitor | 4.1 | 4.11 | +| bulletin board | 20.64 | 23.82 | +| shower | 0.13 | 0.3 | +| radiator | 35.77 | 72.49 | +| glass | 8.11 | 8.44 | +| clock | 16.54 | 21.28 | +| flag | 32.41 | 40.96 | ++---------------------+-------+-------+ +2023/10/20 19:43:47 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.3660 coco/bbox_mAP_50: 0.5290 coco/bbox_mAP_75: 0.3900 coco/bbox_mAP_s: 0.2230 coco/bbox_mAP_m: 0.4050 coco/bbox_mAP_l: 0.4930 coco/segm_mAP: 0.2210 coco/segm_mAP_50: 0.4390 coco/segm_mAP_75: 0.2050 coco/segm_mAP_s: 0.1200 coco/segm_mAP_m: 0.2610 coco/segm_mAP_l: 0.3230 Bleu_1: 0.7119 Bleu_2: 0.5355 Bleu_3: 0.3937 Bleu_4: 0.2888 METEOR: 0.2521 ROUGE_L: 0.5286 CIDEr: 0.9486 SPICE: 0.1818 aAcc: 77.6800 mIoU: 37.3100 mAcc: 49.6200 visual-grounding/miou: 0.5986 visual-grounding/acc: 0.6767 data_time: 0.0503 time: 0.5437 +2023/10/20 19:59:20 - mmengine - INFO - Iter(train) [180500/320000] base_lr: 8.1211e-05 lr: 3.3204e-05 eta: 3 days, 5:13:50 time: 2.0503 data_time: 0.1222 memory: 22141 grad_norm: 0.8174 loss: 1.1993 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5387 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_reg: 0.3151 instance_segmentation_loss_poly: 0.8262 detection_loss_cls: 0.0620 detection_loss_reg: 0.4594 grounding_loss_reg: 3.7698 +2023/10/20 19:59:20 - mmengine - INFO - Saving checkpoint at 180500 iterations +2023/10/20 20:15:59 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 20:15:59 - mmengine - INFO - Iter(train) [181000/320000] base_lr: 8.0735e-05 lr: 3.3017e-05 eta: 3 days, 4:57:32 time: 2.0390 data_time: 0.1225 memory: 22141 grad_norm: 0.8187 loss: 1.1926 semantic_segmentation_loss_cls: 0.0147 caption_loss_cls: 2.5370 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_reg: 0.3161 instance_segmentation_loss_poly: 0.8291 detection_loss_cls: 0.0620 detection_loss_reg: 0.4586 grounding_loss_reg: 3.7678 +2023/10/20 20:15:59 - mmengine - INFO - Saving checkpoint at 181000 iterations +2023/10/20 20:32:24 - mmengine - INFO - Iter(train) [181500/320000] base_lr: 8.0259e-05 lr: 3.2829e-05 eta: 3 days, 4:39:29 time: 1.9983 data_time: 0.1219 memory: 22141 grad_norm: 0.8310 loss: 1.1986 semantic_segmentation_loss_cls: 0.0146 caption_loss_cls: 2.5369 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_reg: 0.3184 instance_segmentation_loss_poly: 0.8321 detection_loss_cls: 0.0618 detection_loss_reg: 0.4564 grounding_loss_reg: 3.7631 +2023/10/20 20:32:24 - mmengine - INFO - Saving checkpoint at 181500 iterations +2023/10/20 20:49:49 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 20:49:49 - mmengine - INFO - Iter(train) [182000/320000] base_lr: 7.9784e-05 lr: 3.2642e-05 eta: 3 days, 4:28:23 time: 2.0038 data_time: 0.1251 memory: 22141 grad_norm: 0.8372 loss: 1.1914 semantic_segmentation_loss_cls: 0.0146 caption_loss_cls: 2.5344 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_reg: 0.3171 instance_segmentation_loss_poly: 0.8306 detection_loss_cls: 0.0617 detection_loss_reg: 0.4554 grounding_loss_reg: 3.7626 +2023/10/20 20:49:49 - mmengine - INFO - Saving checkpoint at 182000 iterations +2023/10/20 21:06:37 - mmengine - INFO - Iter(train) [182500/320000] base_lr: 7.9310e-05 lr: 3.2455e-05 eta: 3 days, 4:12:55 time: 1.9997 data_time: 0.1272 memory: 22141 grad_norm: 0.8290 loss: 1.1728 semantic_segmentation_loss_cls: 0.0145 caption_loss_cls: 2.5353 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_reg: 0.3167 instance_segmentation_loss_poly: 0.8294 detection_loss_cls: 0.0615 detection_loss_reg: 0.4542 grounding_loss_reg: 3.7595 +2023/10/20 21:06:37 - mmengine - INFO - Saving checkpoint at 182500 iterations +2023/10/20 21:22:48 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 21:22:48 - mmengine - INFO - Iter(train) [183000/320000] base_lr: 7.8836e-05 lr: 3.2269e-05 eta: 3 days, 3:53:22 time: 1.9754 data_time: 0.1281 memory: 22141 grad_norm: 0.8268 loss: 1.1712 semantic_segmentation_loss_cls: 0.0144 caption_loss_cls: 2.5357 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_reg: 0.3173 instance_segmentation_loss_poly: 0.8295 detection_loss_cls: 0.0614 detection_loss_reg: 0.4544 grounding_loss_reg: 3.7560 +2023/10/20 21:22:48 - mmengine - INFO - Saving checkpoint at 183000 iterations +2023/10/20 21:38:15 - mmengine - INFO - Iter(train) [183500/320000] base_lr: 7.8363e-05 lr: 3.2082e-05 eta: 3 days, 3:29:27 time: 1.9655 data_time: 0.1280 memory: 22141 grad_norm: 0.8376 loss: 1.1830 semantic_segmentation_loss_cls: 0.0144 caption_loss_cls: 2.5397 instance_segmentation_loss_cls: 0.0430 instance_segmentation_loss_reg: 0.3177 instance_segmentation_loss_poly: 0.8287 detection_loss_cls: 0.0615 detection_loss_reg: 0.4552 grounding_loss_reg: 3.7530 +2023/10/20 21:38:15 - mmengine - INFO - Saving checkpoint at 183500 iterations +2023/10/20 21:53:59 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 21:53:59 - mmengine - INFO - Iter(train) [184000/320000] base_lr: 7.7890e-05 lr: 3.1896e-05 eta: 3 days, 3:07:42 time: 1.9529 data_time: 0.1286 memory: 22141 grad_norm: 0.8320 loss: 1.1825 semantic_segmentation_loss_cls: 0.0144 caption_loss_cls: 2.5438 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3179 instance_segmentation_loss_poly: 0.8280 detection_loss_cls: 0.0617 detection_loss_reg: 0.4592 grounding_loss_reg: 3.7483 +2023/10/20 21:53:59 - mmengine - INFO - Saving checkpoint at 184000 iterations +2023/10/20 22:09:51 - mmengine - INFO - Iter(train) [184500/320000] base_lr: 7.7418e-05 lr: 3.1710e-05 eta: 3 days, 2:46:57 time: 1.9574 data_time: 0.1420 memory: 22141 grad_norm: 0.8298 loss: 1.1823 semantic_segmentation_loss_cls: 0.0144 caption_loss_cls: 2.5379 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3162 instance_segmentation_loss_poly: 0.8247 detection_loss_cls: 0.0614 detection_loss_reg: 0.4583 grounding_loss_reg: 3.7437 +2023/10/20 22:09:51 - mmengine - INFO - Saving checkpoint at 184500 iterations +2023/10/20 22:25:59 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 22:25:59 - mmengine - INFO - Iter(train) [185000/320000] base_lr: 7.6946e-05 lr: 3.1524e-05 eta: 3 days, 2:27:56 time: 1.9495 data_time: 0.1417 memory: 22141 grad_norm: 0.8336 loss: 1.1901 semantic_segmentation_loss_cls: 0.0144 caption_loss_cls: 2.5377 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3158 instance_segmentation_loss_poly: 0.8240 detection_loss_cls: 0.0613 detection_loss_reg: 0.4585 grounding_loss_reg: 3.7399 +2023/10/20 22:25:59 - mmengine - INFO - Saving checkpoint at 185000 iterations +2023/10/20 22:42:50 - mmengine - INFO - Iter(train) [185500/320000] base_lr: 7.6475e-05 lr: 3.1339e-05 eta: 3 days, 2:13:05 time: 1.9562 data_time: 0.1420 memory: 22141 grad_norm: 0.8449 loss: 1.1887 semantic_segmentation_loss_cls: 0.0143 caption_loss_cls: 2.5379 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3151 instance_segmentation_loss_poly: 0.8222 detection_loss_cls: 0.0614 detection_loss_reg: 0.4585 grounding_loss_reg: 3.7384 +2023/10/20 22:42:50 - mmengine - INFO - Saving checkpoint at 185500 iterations +2023/10/20 23:00:07 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 23:00:07 - mmengine - INFO - Iter(train) [186000/320000] base_lr: 7.6004e-05 lr: 3.1153e-05 eta: 3 days, 2:00:30 time: 1.9541 data_time: 0.1394 memory: 22141 grad_norm: 0.8369 loss: 1.1930 semantic_segmentation_loss_cls: 0.0143 caption_loss_cls: 2.5395 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3150 instance_segmentation_loss_poly: 0.8219 detection_loss_cls: 0.0612 detection_loss_reg: 0.4574 grounding_loss_reg: 3.7357 +2023/10/20 23:00:07 - mmengine - INFO - Saving checkpoint at 186000 iterations +2023/10/20 23:15:52 - mmengine - INFO - Iter(train) [186500/320000] base_lr: 7.5534e-05 lr: 3.0968e-05 eta: 3 days, 1:39:33 time: 1.9383 data_time: 0.1378 memory: 22141 grad_norm: 0.8441 loss: 1.1957 semantic_segmentation_loss_cls: 0.0143 caption_loss_cls: 2.5372 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3135 instance_segmentation_loss_poly: 0.8189 detection_loss_cls: 0.0612 detection_loss_reg: 0.4568 grounding_loss_reg: 3.7309 +2023/10/20 23:15:52 - mmengine - INFO - Saving checkpoint at 186500 iterations +2023/10/20 23:34:21 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/20 23:34:21 - mmengine - INFO - Iter(train) [187000/320000] base_lr: 7.5065e-05 lr: 3.0783e-05 eta: 3 days, 1:33:00 time: 1.9728 data_time: 0.1392 memory: 22141 grad_norm: 0.8416 loss: 1.1875 semantic_segmentation_loss_cls: 0.0142 caption_loss_cls: 2.5396 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3138 instance_segmentation_loss_poly: 0.8195 detection_loss_cls: 0.0614 detection_loss_reg: 0.4572 grounding_loss_reg: 3.7299 +2023/10/20 23:34:21 - mmengine - INFO - Saving checkpoint at 187000 iterations +2023/10/20 23:50:53 - mmengine - INFO - Iter(train) [187500/320000] base_lr: 7.4596e-05 lr: 3.0599e-05 eta: 3 days, 1:16:08 time: 1.9892 data_time: 0.1395 memory: 22141 grad_norm: 0.8455 loss: 1.1846 semantic_segmentation_loss_cls: 0.0143 caption_loss_cls: 2.5370 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_reg: 0.3128 instance_segmentation_loss_poly: 0.8172 detection_loss_cls: 0.0611 detection_loss_reg: 0.4555 grounding_loss_reg: 3.7272 +2023/10/20 23:50:53 - mmengine - INFO - Saving checkpoint at 187500 iterations +2023/10/21 00:06:51 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 00:06:51 - mmengine - INFO - Iter(train) [188000/320000] base_lr: 7.4128e-05 lr: 3.0414e-05 eta: 3 days, 0:56:23 time: 1.9925 data_time: 0.1389 memory: 22141 grad_norm: 0.8336 loss: 1.1751 semantic_segmentation_loss_cls: 0.0142 caption_loss_cls: 2.5338 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3126 instance_segmentation_loss_poly: 0.8172 detection_loss_cls: 0.0613 detection_loss_reg: 0.4571 grounding_loss_reg: 3.7254 +2023/10/21 00:06:51 - mmengine - INFO - Saving checkpoint at 188000 iterations +2023/10/21 00:22:49 - mmengine - INFO - Iter(train) [188500/320000] base_lr: 7.3661e-05 lr: 3.0230e-05 eta: 3 days, 0:36:51 time: 1.9941 data_time: 0.1393 memory: 22141 grad_norm: 0.8463 loss: 1.1941 semantic_segmentation_loss_cls: 0.0142 caption_loss_cls: 2.5354 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3110 instance_segmentation_loss_poly: 0.8164 detection_loss_cls: 0.0613 detection_loss_reg: 0.4568 grounding_loss_reg: 3.7220 +2023/10/21 00:22:49 - mmengine - INFO - Saving checkpoint at 188500 iterations +2023/10/21 00:38:50 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 00:38:50 - mmengine - INFO - Iter(train) [189000/320000] base_lr: 7.3194e-05 lr: 3.0046e-05 eta: 3 days, 0:17:37 time: 1.9923 data_time: 0.1398 memory: 22141 grad_norm: 0.8430 loss: 1.1950 semantic_segmentation_loss_cls: 0.0142 caption_loss_cls: 2.5367 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_reg: 0.3115 instance_segmentation_loss_poly: 0.8172 detection_loss_cls: 0.0615 detection_loss_reg: 0.4598 grounding_loss_reg: 3.7183 +2023/10/21 00:38:50 - mmengine - INFO - Saving checkpoint at 189000 iterations +2023/10/21 00:55:19 - mmengine - INFO - Iter(train) [189500/320000] base_lr: 7.2728e-05 lr: 2.9863e-05 eta: 3 days, 0:00:45 time: 1.9869 data_time: 0.1398 memory: 22141 grad_norm: 0.8204 loss: 1.1967 semantic_segmentation_loss_cls: 0.0141 caption_loss_cls: 2.5400 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8158 detection_loss_cls: 0.0615 detection_loss_reg: 0.4589 grounding_loss_reg: 3.7151 +2023/10/21 00:55:19 - mmengine - INFO - Saving checkpoint at 189500 iterations +2023/10/21 01:11:29 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 01:11:29 - mmengine - INFO - Iter(train) [190000/320000] base_lr: 7.2263e-05 lr: 2.9679e-05 eta: 2 days, 23:42:24 time: 1.9700 data_time: 0.1394 memory: 22141 grad_norm: 0.8182 loss: 1.1867 semantic_segmentation_loss_cls: 0.0141 caption_loss_cls: 2.5415 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 0.8152 detection_loss_cls: 0.0614 detection_loss_reg: 0.4597 grounding_loss_reg: 3.7130 +2023/10/21 01:11:29 - mmengine - INFO - Saving checkpoint at 190000 iterations +2023/10/21 01:28:11 - mmengine - INFO - Iter(train) [190500/320000] base_lr: 7.1798e-05 lr: 2.9496e-05 eta: 2 days, 23:26:31 time: 1.9843 data_time: 0.1391 memory: 22141 grad_norm: 0.8082 loss: 1.1894 semantic_segmentation_loss_cls: 0.0141 caption_loss_cls: 2.5461 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8120 detection_loss_cls: 0.0617 detection_loss_reg: 0.4619 grounding_loss_reg: 3.7101 +2023/10/21 01:28:11 - mmengine - INFO - Saving checkpoint at 190500 iterations +2023/10/21 01:45:52 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 01:45:52 - mmengine - INFO - Iter(train) [191000/320000] base_lr: 7.1334e-05 lr: 2.9313e-05 eta: 2 days, 23:14:55 time: 1.9725 data_time: 0.1379 memory: 22141 grad_norm: 0.8013 loss: 1.1892 semantic_segmentation_loss_cls: 0.0141 caption_loss_cls: 2.5431 instance_segmentation_loss_cls: 0.0417 instance_segmentation_loss_reg: 0.3073 instance_segmentation_loss_poly: 0.8075 detection_loss_cls: 0.0617 detection_loss_reg: 0.4613 grounding_loss_reg: 3.7074 +2023/10/21 01:45:52 - mmengine - INFO - Saving checkpoint at 191000 iterations +2023/10/21 02:04:01 - mmengine - INFO - Iter(train) [191500/320000] base_lr: 7.0871e-05 lr: 2.9131e-05 eta: 2 days, 23:05:05 time: 1.9966 data_time: 0.1478 memory: 21622 grad_norm: 0.7858 loss: 1.1662 semantic_segmentation_loss_cls: 0.0140 caption_loss_cls: 2.5390 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8032 detection_loss_cls: 0.0617 detection_loss_reg: 0.4605 grounding_loss_reg: 3.7055 +2023/10/21 02:04:01 - mmengine - INFO - Saving checkpoint at 191500 iterations +2023/10/21 02:20:44 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 02:20:44 - mmengine - INFO - Iter(train) [192000/320000] base_lr: 7.0408e-05 lr: 2.8949e-05 eta: 2 days, 22:49:02 time: 2.0081 data_time: 0.1483 memory: 22141 grad_norm: 0.7818 loss: 1.1631 semantic_segmentation_loss_cls: 0.0141 caption_loss_cls: 2.5325 instance_segmentation_loss_cls: 0.0415 instance_segmentation_loss_reg: 0.3060 instance_segmentation_loss_poly: 0.8033 detection_loss_cls: 0.0614 detection_loss_reg: 0.4600 grounding_loss_reg: 3.7027 +2023/10/21 02:20:44 - mmengine - INFO - Saving checkpoint at 192000 iterations +2023/10/21 02:37:46 - mmengine - INFO - Iter(train) [192500/320000] base_lr: 6.9946e-05 lr: 2.8767e-05 eta: 2 days, 22:34:09 time: 2.0238 data_time: 0.1481 memory: 22141 grad_norm: 0.7669 loss: 1.1446 semantic_segmentation_loss_cls: 0.0140 caption_loss_cls: 2.5298 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8033 detection_loss_cls: 0.0611 detection_loss_reg: 0.4588 grounding_loss_reg: 3.7006 +2023/10/21 02:37:46 - mmengine - INFO - Saving checkpoint at 192500 iterations +2023/10/21 02:53:19 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 02:53:19 - mmengine - INFO - Iter(train) [193000/320000] base_lr: 6.9485e-05 lr: 2.8585e-05 eta: 2 days, 22:13:17 time: 2.0169 data_time: 0.1472 memory: 22141 grad_norm: 0.7743 loss: 1.1423 semantic_segmentation_loss_cls: 0.0140 caption_loss_cls: 2.5320 instance_segmentation_loss_cls: 0.0415 instance_segmentation_loss_reg: 0.3052 instance_segmentation_loss_poly: 0.8019 detection_loss_cls: 0.0612 detection_loss_reg: 0.4577 grounding_loss_reg: 3.6982 +2023/10/21 02:53:19 - mmengine - INFO - Saving checkpoint at 193000 iterations +2023/10/21 03:10:16 - mmengine - INFO - Iter(train) [193500/320000] base_lr: 6.9025e-05 lr: 2.8404e-05 eta: 2 days, 21:58:10 time: 2.0239 data_time: 0.1469 memory: 22141 grad_norm: 0.7725 loss: 1.1310 semantic_segmentation_loss_cls: 0.0140 caption_loss_cls: 2.5289 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3051 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0611 detection_loss_reg: 0.4581 grounding_loss_reg: 3.6925 +2023/10/21 03:10:16 - mmengine - INFO - Saving checkpoint at 193500 iterations +2023/10/21 03:26:03 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 03:26:03 - mmengine - INFO - Iter(train) [194000/320000] base_lr: 6.8566e-05 lr: 2.8223e-05 eta: 2 days, 21:38:24 time: 2.0182 data_time: 0.1471 memory: 22141 grad_norm: 0.7822 loss: 1.1381 semantic_segmentation_loss_cls: 0.0140 caption_loss_cls: 2.5231 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_reg: 0.3045 instance_segmentation_loss_poly: 0.8009 detection_loss_cls: 0.0608 detection_loss_reg: 0.4572 grounding_loss_reg: 3.6919 +2023/10/21 03:26:03 - mmengine - INFO - Saving checkpoint at 194000 iterations +2023/10/21 03:42:08 - mmengine - INFO - Iter(train) [194500/320000] base_lr: 6.8107e-05 lr: 2.8042e-05 eta: 2 days, 21:19:54 time: 2.0089 data_time: 0.1475 memory: 22141 grad_norm: 0.7861 loss: 1.1391 semantic_segmentation_loss_cls: 0.0139 caption_loss_cls: 2.5166 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8015 detection_loss_cls: 0.0609 detection_loss_reg: 0.4580 grounding_loss_reg: 3.6918 +2023/10/21 03:42:08 - mmengine - INFO - Saving checkpoint at 194500 iterations +2023/10/21 03:58:58 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 03:58:58 - mmengine - INFO - Iter(train) [195000/320000] base_lr: 6.7649e-05 lr: 2.7862e-05 eta: 2 days, 21:04:18 time: 1.9961 data_time: 0.1477 memory: 22141 grad_norm: 0.7946 loss: 1.1460 semantic_segmentation_loss_cls: 0.0139 caption_loss_cls: 2.5127 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8025 detection_loss_cls: 0.0612 detection_loss_reg: 0.4610 grounding_loss_reg: 3.6881 +2023/10/21 03:58:58 - mmengine - INFO - Saving checkpoint at 195000 iterations +2023/10/21 04:14:39 - mmengine - INFO - Iter(train) [195500/320000] base_lr: 6.7192e-05 lr: 2.7682e-05 eta: 2 days, 20:44:27 time: 1.9592 data_time: 0.1379 memory: 22141 grad_norm: 0.8120 loss: 1.1719 semantic_segmentation_loss_cls: 0.0139 caption_loss_cls: 2.5100 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3053 instance_segmentation_loss_poly: 0.8022 detection_loss_cls: 0.0610 detection_loss_reg: 0.4604 grounding_loss_reg: 3.6856 +2023/10/21 04:14:39 - mmengine - INFO - Saving checkpoint at 195500 iterations +2023/10/21 04:31:15 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 04:31:15 - mmengine - INFO - Iter(train) [196000/320000] base_lr: 6.6735e-05 lr: 2.7502e-05 eta: 2 days, 20:27:59 time: 1.9572 data_time: 0.1422 memory: 22141 grad_norm: 0.8262 loss: 1.1871 semantic_segmentation_loss_cls: 0.0139 caption_loss_cls: 2.5061 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8022 detection_loss_cls: 0.0607 detection_loss_reg: 0.4604 grounding_loss_reg: 3.6803 +2023/10/21 04:31:15 - mmengine - INFO - Saving checkpoint at 196000 iterations +2023/10/21 04:48:12 - mmengine - INFO - Iter(train) [196500/320000] base_lr: 6.6280e-05 lr: 2.7322e-05 eta: 2 days, 20:12:45 time: 1.9562 data_time: 0.1420 memory: 22141 grad_norm: 0.8247 loss: 1.1940 semantic_segmentation_loss_cls: 0.0138 caption_loss_cls: 2.5085 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8013 detection_loss_cls: 0.0608 detection_loss_reg: 0.4618 grounding_loss_reg: 3.6780 +2023/10/21 04:48:12 - mmengine - INFO - Saving checkpoint at 196500 iterations +2023/10/21 05:04:39 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 05:04:39 - mmengine - INFO - Iter(train) [197000/320000] base_lr: 6.5825e-05 lr: 2.7143e-05 eta: 2 days, 19:55:47 time: 1.9698 data_time: 0.1427 memory: 22141 grad_norm: 0.8170 loss: 1.1848 semantic_segmentation_loss_cls: 0.0138 caption_loss_cls: 2.5082 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8022 detection_loss_cls: 0.0606 detection_loss_reg: 0.4607 grounding_loss_reg: 3.6742 +2023/10/21 05:04:39 - mmengine - INFO - Saving checkpoint at 197000 iterations +2023/10/21 05:20:26 - mmengine - INFO - Iter(train) [197500/320000] base_lr: 6.5371e-05 lr: 2.6964e-05 eta: 2 days, 19:36:30 time: 1.9519 data_time: 0.1426 memory: 22141 grad_norm: 0.8292 loss: 1.1966 semantic_segmentation_loss_cls: 0.0138 caption_loss_cls: 2.5104 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8012 detection_loss_cls: 0.0605 detection_loss_reg: 0.4602 grounding_loss_reg: 3.6714 +2023/10/21 05:20:26 - mmengine - INFO - Saving checkpoint at 197500 iterations +2023/10/21 05:37:13 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 05:37:13 - mmengine - INFO - Iter(train) [198000/320000] base_lr: 6.4918e-05 lr: 2.6786e-05 eta: 2 days, 19:20:40 time: 1.9669 data_time: 0.1429 memory: 22141 grad_norm: 0.8187 loss: 1.1911 semantic_segmentation_loss_cls: 0.0138 caption_loss_cls: 2.5099 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8022 detection_loss_cls: 0.0604 detection_loss_reg: 0.4590 grounding_loss_reg: 3.6674 +2023/10/21 05:37:13 - mmengine - INFO - Saving checkpoint at 198000 iterations +2023/10/21 05:53:18 - mmengine - INFO - Iter(train) [198500/320000] base_lr: 6.4466e-05 lr: 2.6608e-05 eta: 2 days, 19:02:34 time: 1.9671 data_time: 0.1430 memory: 22141 grad_norm: 0.8185 loss: 1.1927 semantic_segmentation_loss_cls: 0.0137 caption_loss_cls: 2.5122 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8034 detection_loss_cls: 0.0602 detection_loss_reg: 0.4590 grounding_loss_reg: 3.6648 +2023/10/21 05:53:18 - mmengine - INFO - Saving checkpoint at 198500 iterations +2023/10/21 06:10:45 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 06:10:45 - mmengine - INFO - Iter(train) [199000/320000] base_lr: 6.4015e-05 lr: 2.6430e-05 eta: 2 days, 18:48:52 time: 1.9762 data_time: 0.1425 memory: 22141 grad_norm: 0.8240 loss: 1.1869 semantic_segmentation_loss_cls: 0.0137 caption_loss_cls: 2.5061 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8021 detection_loss_cls: 0.0604 detection_loss_reg: 0.4598 grounding_loss_reg: 3.6610 +2023/10/21 06:10:45 - mmengine - INFO - Saving checkpoint at 199000 iterations +2023/10/21 06:27:39 - mmengine - INFO - Iter(train) [199500/320000] base_lr: 6.3565e-05 lr: 2.6253e-05 eta: 2 days, 18:33:21 time: 1.9944 data_time: 0.1426 memory: 22141 grad_norm: 0.8235 loss: 1.1842 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.5000 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8006 detection_loss_cls: 0.0601 detection_loss_reg: 0.4593 grounding_loss_reg: 3.6577 +2023/10/21 06:27:39 - mmengine - INFO - Saving checkpoint at 199500 iterations +2023/10/21 06:44:31 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 06:44:31 - mmengine - INFO - Iter(train) [200000/320000] base_lr: 6.3115e-05 lr: 2.6076e-05 eta: 2 days, 18:17:42 time: 1.9985 data_time: 0.1376 memory: 22141 grad_norm: 0.8134 loss: 1.1723 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.4977 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3043 instance_segmentation_loss_poly: 0.8003 detection_loss_cls: 0.0600 detection_loss_reg: 0.4599 grounding_loss_reg: 3.6569 +2023/10/21 06:44:31 - mmengine - INFO - Saving checkpoint at 200000 iterations +2023/10/21 06:49:13 - mmengine - INFO - Evaluating bbox... +2023/10/21 06:50:13 - mmengine - INFO - bbox_mAP_copypaste: 0.390 0.555 0.419 0.237 0.435 0.519 +2023/10/21 06:50:13 - mmengine - INFO - Evaluating segm... +2023/10/21 06:51:30 - mmengine - INFO - segm_mAP_copypaste: 0.253 0.478 0.240 0.128 0.291 0.392 +2023/10/21 06:52:44 - mmengine - INFO - Evaluating bbox... +2023/10/21 06:53:51 - mmengine - INFO - bbox_mAP_copypaste: 0.391 0.557 0.420 0.238 0.437 0.519 +2023/10/21 06:58:42 - mmengine - INFO - per class results: +2023/10/21 06:58:42 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 71.38 | 86.81 | +| building | 80.05 | 90.45 | +| sky | 92.37 | 97.26 | +| floor | 77.04 | 86.08 | +| tree | 70.56 | 85.37 | +| ceiling | 78.47 | 92.74 | +| road | 80.07 | 88.81 | +| bed | 81.45 | 93.04 | +| windowpane | 55.3 | 76.35 | +| grass | 67.5 | 87.45 | +| cabinet | 52.36 | 63.14 | +| sidewalk | 57.64 | 73.99 | +| person | 76.9 | 87.72 | +| earth | 34.38 | 40.59 | +| door | 32.53 | 40.97 | +| table | 50.57 | 69.7 | +| mountain | 52.47 | 64.46 | +| plant | 46.79 | 62.61 | +| curtain | 65.45 | 82.68 | +| chair | 44.1 | 61.26 | +| car | 77.89 | 90.73 | +| water | 47.88 | 59.73 | +| painting | 64.28 | 84.26 | +| sofa | 57.33 | 72.02 | +| shelf | 33.71 | 50.0 | +| house | 43.7 | 59.96 | +| sea | 48.09 | 73.57 | +| mirror | 52.2 | 58.57 | +| rug | 55.13 | 67.97 | +| field | 26.12 | 33.31 | +| armchair | 37.52 | 66.1 | +| seat | 46.67 | 55.79 | +| fence | 36.88 | 62.14 | +| desk | 31.0 | 39.83 | +| rock | 44.06 | 79.84 | +| wardrobe | 42.7 | 72.26 | +| lamp | 51.98 | 66.78 | +| bathtub | 68.33 | 71.82 | +| railing | 21.0 | 26.65 | +| cushion | 44.29 | 61.2 | +| base | 14.68 | 20.5 | +| box | 17.74 | 24.54 | +| column | 38.38 | 49.66 | +| signboard | 35.15 | 46.53 | +| chest of drawers | 38.06 | 43.0 | +| counter | 24.47 | 35.15 | +| sand | 30.3 | 47.57 | +| sink | 57.2 | 67.26 | +| skyscraper | 60.29 | 76.47 | +| fireplace | 52.73 | 75.93 | +| refrigerator | 58.34 | 72.63 | +| grandstand | 40.63 | 61.85 | +| path | 14.67 | 18.33 | +| stairs | 30.65 | 44.17 | +| runway | 75.17 | 89.18 | +| case | 42.61 | 52.94 | +| pool table | 89.25 | 94.63 | +| pillow | 34.86 | 40.31 | +| screen door | 43.34 | 47.41 | +| stairway | 27.8 | 36.53 | +| river | 26.63 | 45.78 | +| bridge | 53.15 | 79.21 | +| bookcase | 33.84 | 57.76 | +| blind | 21.94 | 22.62 | +| coffee table | 50.13 | 63.99 | +| toilet | 76.33 | 87.7 | +| flower | 28.81 | 50.6 | +| book | 39.03 | 53.57 | +| hill | 10.86 | 13.12 | +| bench | 36.21 | 46.05 | +| countertop | 43.76 | 53.73 | +| stove | 54.05 | 74.38 | +| palm | 38.18 | 45.53 | +| kitchen island | 29.33 | 73.75 | +| computer | 51.5 | 61.26 | +| swivel chair | 31.08 | 42.48 | +| boat | 63.5 | 80.58 | +| bar | 33.91 | 39.65 | +| arcade machine | 26.93 | 29.19 | +| hovel | 4.66 | 4.8 | +| bus | 76.47 | 95.76 | +| towel | 51.33 | 62.29 | +| light | 33.18 | 37.56 | +| truck | 33.0 | 58.65 | +| tower | 29.44 | 48.4 | +| chandelier | 56.76 | 71.54 | +| awning | 13.2 | 13.85 | +| streetlight | 18.72 | 26.71 | +| booth | 38.07 | 56.01 | +| television receiver | 58.03 | 74.13 | +| airplane | 45.65 | 63.63 | +| dirt track | 1.51 | 1.51 | +| apparel | 23.52 | 35.47 | +| pole | 16.14 | 26.07 | +| land | 1.24 | 1.9 | +| bannister | 1.28 | 1.75 | +| escalator | 40.14 | 52.38 | +| ottoman | 31.96 | 56.75 | +| bottle | 20.1 | 24.19 | +| buffet | 49.89 | 62.71 | +| poster | 13.35 | 14.6 | +| stage | 9.6 | 14.34 | +| van | 12.43 | 13.68 | +| ship | 62.52 | 77.7 | +| fountain | 19.97 | 20.62 | +| conveyer belt | 67.14 | 77.3 | +| canopy | 12.33 | 17.97 | +| washer | 48.76 | 54.48 | +| plaything | 19.03 | 23.84 | +| swimming pool | 15.34 | 20.91 | +| stool | 27.67 | 36.29 | +| barrel | 18.07 | 83.27 | +| basket | 21.82 | 27.72 | +| waterfall | 74.09 | 90.42 | +| tent | 81.58 | 96.1 | +| bag | 10.72 | 11.49 | +| minibike | 67.5 | 84.87 | +| cradle | 59.56 | 72.81 | +| oven | 22.8 | 36.51 | +| ball | 45.03 | 64.86 | +| food | 52.33 | 61.23 | +| step | 1.89 | 2.12 | +| tank | 33.64 | 35.46 | +| trade name | 15.9 | 16.94 | +| microwave | 81.62 | 86.89 | +| pot | 37.82 | 43.57 | +| animal | 57.62 | 63.21 | +| bicycle | 54.01 | 75.07 | +| lake | 0.03 | 0.03 | +| dishwasher | 31.48 | 38.58 | +| screen | 60.54 | 74.69 | +| blanket | 0.0 | 0.0 | +| sculpture | 42.36 | 55.68 | +| hood | 35.61 | 40.48 | +| sconce | 20.14 | 23.39 | +| vase | 28.04 | 40.48 | +| traffic light | 22.81 | 29.02 | +| tray | 6.12 | 12.75 | +| ashcan | 34.93 | 56.98 | +| fan | 46.95 | 65.79 | +| pier | 41.1 | 47.14 | +| crt screen | 6.24 | 26.66 | +| plate | 47.63 | 67.3 | +| monitor | 0.0 | 0.0 | +| bulletin board | 30.34 | 37.36 | +| shower | 0.16 | 0.19 | +| radiator | 41.93 | 46.82 | +| glass | 9.83 | 10.47 | +| clock | 16.2 | 17.93 | +| flag | 30.21 | 33.63 | ++---------------------+-------+-------+ +2023/10/21 06:58:52 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.3910 coco/bbox_mAP_50: 0.5570 coco/bbox_mAP_75: 0.4200 coco/bbox_mAP_s: 0.2380 coco/bbox_mAP_m: 0.4370 coco/bbox_mAP_l: 0.5190 coco/segm_mAP: 0.2530 coco/segm_mAP_50: 0.4780 coco/segm_mAP_75: 0.2400 coco/segm_mAP_s: 0.1280 coco/segm_mAP_m: 0.2910 coco/segm_mAP_l: 0.3920 Bleu_1: 0.7189 Bleu_2: 0.5433 Bleu_3: 0.4023 Bleu_4: 0.2963 METEOR: 0.2515 ROUGE_L: 0.5313 CIDEr: 0.9578 SPICE: 0.1846 aAcc: 79.2100 mIoU: 40.1000 mAcc: 51.8400 visual-grounding/miou: 0.6278 visual-grounding/acc: 0.7076 data_time: 0.9803 time: 1.4851 +2023/10/21 07:14:59 - mmengine - INFO - Iter(train) [200500/320000] base_lr: 6.2667e-05 lr: 2.5899e-05 eta: 2 days, 17:59:47 time: 1.9863 data_time: 0.1243 memory: 22141 grad_norm: 0.8157 loss: 1.1662 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.5000 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3047 instance_segmentation_loss_poly: 0.8008 detection_loss_cls: 0.0601 detection_loss_reg: 0.4607 grounding_loss_reg: 3.6545 +2023/10/21 07:14:59 - mmengine - INFO - Saving checkpoint at 200500 iterations +2023/10/21 07:32:19 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 07:32:19 - mmengine - INFO - Iter(train) [201000/320000] base_lr: 6.2219e-05 lr: 2.5723e-05 eta: 2 days, 17:45:30 time: 1.9995 data_time: 0.1245 memory: 22141 grad_norm: 0.8177 loss: 1.1823 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.5022 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.7995 detection_loss_cls: 0.0599 detection_loss_reg: 0.4612 grounding_loss_reg: 3.6530 +2023/10/21 07:32:19 - mmengine - INFO - Saving checkpoint at 201000 iterations +2023/10/21 07:49:54 - mmengine - INFO - Iter(train) [201500/320000] base_lr: 6.1772e-05 lr: 2.5547e-05 eta: 2 days, 17:31:54 time: 2.0266 data_time: 0.1252 memory: 22141 grad_norm: 0.8156 loss: 1.1868 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.5009 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.7969 detection_loss_cls: 0.0605 detection_loss_reg: 0.4634 grounding_loss_reg: 3.6515 +2023/10/21 07:49:54 - mmengine - INFO - Saving checkpoint at 201500 iterations +2023/10/21 08:06:06 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 08:06:06 - mmengine - INFO - Iter(train) [202000/320000] base_lr: 6.1327e-05 lr: 2.5371e-05 eta: 2 days, 17:14:10 time: 2.0180 data_time: 0.1247 memory: 22141 grad_norm: 0.8304 loss: 1.1954 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.4929 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 0.7966 detection_loss_cls: 0.0601 detection_loss_reg: 0.4604 grounding_loss_reg: 3.6479 +2023/10/21 08:06:06 - mmengine - INFO - Saving checkpoint at 202000 iterations +2023/10/21 08:22:33 - mmengine - INFO - Iter(train) [202500/320000] base_lr: 6.0882e-05 lr: 2.5196e-05 eta: 2 days, 16:57:11 time: 2.0233 data_time: 0.1251 memory: 22141 grad_norm: 0.8203 loss: 1.1819 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.4884 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.7979 detection_loss_cls: 0.0599 detection_loss_reg: 0.4597 grounding_loss_reg: 3.6470 +2023/10/21 08:22:33 - mmengine - INFO - Saving checkpoint at 202500 iterations +2023/10/21 08:39:05 - mmengine - INFO - Exp name: univision_joint_all_20231020_085046 +2023/10/21 08:39:05 - mmengine - INFO - Iter(train) [203000/320000] base_lr: 6.0438e-05 lr: 2.5021e-05 eta: 2 days, 16:40:24 time: 2.0095 data_time: 0.1257 memory: 22141 grad_norm: 0.8251 loss: 1.1902 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.4899 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 0.7964 detection_loss_cls: 0.0600 detection_loss_reg: 0.4603 grounding_loss_reg: 3.6456 +2023/10/21 08:39:05 - mmengine - INFO - Saving checkpoint at 203000 iterations +2023/10/22 03:20:29 - mmengine - INFO - Iter(train) [203500/320000] base_lr: 5.9995e-05 lr: 2.4847e-05 eta: 1 day, 15:37:27 time: 1.9091 data_time: 0.1114 memory: 22137 grad_norm: 0.8157 loss: 1.1816 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.4861 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.7957 detection_loss_cls: 0.0598 detection_loss_reg: 0.4593 grounding_loss_reg: 3.6415 +2023/10/22 03:20:29 - mmengine - INFO - Saving checkpoint at 203500 iterations +2023/10/22 03:32:04 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 03:32:04 - mmengine - INFO - Iter(train) [204000/320000] base_lr: 5.9554e-05 lr: 2.4673e-05 eta: 1 day, 18:07:12 time: 1.8299 data_time: 0.1115 memory: 22137 grad_norm: 0.8354 loss: 1.1972 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4801 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3014 instance_segmentation_loss_poly: 0.7962 detection_loss_cls: 0.0598 detection_loss_reg: 0.4590 grounding_loss_reg: 3.6376 +2023/10/22 03:32:04 - mmengine - INFO - Saving checkpoint at 204000 iterations +2023/10/22 03:45:11 - mmengine - INFO - Iter(train) [204500/320000] base_lr: 5.9113e-05 lr: 2.4499e-05 eta: 1 day, 20:47:23 time: 1.7846 data_time: 0.1253 memory: 22137 grad_norm: 0.8379 loss: 1.2024 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4787 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.7976 detection_loss_cls: 0.0601 detection_loss_reg: 0.4595 grounding_loss_reg: 3.6345 +2023/10/22 03:45:11 - mmengine - INFO - Saving checkpoint at 204500 iterations +2023/10/22 03:59:35 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 03:59:35 - mmengine - INFO - Iter(train) [205000/320000] base_lr: 5.8673e-05 lr: 2.4326e-05 eta: 1 day, 23:14:41 time: 1.7406 data_time: 0.1252 memory: 22137 grad_norm: 0.8282 loss: 1.1832 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4753 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.7980 detection_loss_cls: 0.0600 detection_loss_reg: 0.4602 grounding_loss_reg: 3.6323 +2023/10/22 03:59:35 - mmengine - INFO - Saving checkpoint at 205000 iterations +2023/10/22 04:14:07 - mmengine - INFO - Iter(train) [205500/320000] base_lr: 5.8234e-05 lr: 2.4153e-05 eta: 2 days, 0:43:26 time: 1.6949 data_time: 0.1240 memory: 22137 grad_norm: 0.8143 loss: 1.1627 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4656 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.7995 detection_loss_cls: 0.0600 detection_loss_reg: 0.4601 grounding_loss_reg: 3.6289 +2023/10/22 04:14:07 - mmengine - INFO - Saving checkpoint at 205500 iterations +2023/10/22 04:30:01 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 04:30:01 - mmengine - INFO - Iter(train) [206000/320000] base_lr: 5.7796e-05 lr: 2.3980e-05 eta: 2 days, 2:29:52 time: 1.6905 data_time: 0.1244 memory: 22137 grad_norm: 0.8040 loss: 1.1543 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4636 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.7984 detection_loss_cls: 0.0596 detection_loss_reg: 0.4592 grounding_loss_reg: 3.6254 +2023/10/22 04:30:01 - mmengine - INFO - Saving checkpoint at 206000 iterations +2023/10/22 04:46:13 - mmengine - INFO - Iter(train) [206500/320000] base_lr: 5.7360e-05 lr: 2.3808e-05 eta: 2 days, 3:50:26 time: 1.6865 data_time: 0.1242 memory: 22137 grad_norm: 0.8211 loss: 1.1586 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4542 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3043 instance_segmentation_loss_poly: 0.8007 detection_loss_cls: 0.0594 detection_loss_reg: 0.4570 grounding_loss_reg: 3.6212 +2023/10/22 04:46:13 - mmengine - INFO - Saving checkpoint at 206500 iterations +2023/10/22 05:01:52 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 05:01:52 - mmengine - INFO - Iter(train) [207000/320000] base_lr: 5.6924e-05 lr: 2.3637e-05 eta: 2 days, 4:31:36 time: 1.6734 data_time: 0.1232 memory: 22137 grad_norm: 0.8135 loss: 1.1558 semantic_segmentation_loss_cls: 0.0136 caption_loss_cls: 2.4509 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3043 instance_segmentation_loss_poly: 0.8006 detection_loss_cls: 0.0592 detection_loss_reg: 0.4572 grounding_loss_reg: 3.6188 +2023/10/22 05:01:52 - mmengine - INFO - Saving checkpoint at 207000 iterations +2023/10/22 05:18:30 - mmengine - INFO - Iter(train) [207500/320000] base_lr: 5.6489e-05 lr: 2.3466e-05 eta: 2 days, 5:25:02 time: 1.7700 data_time: 0.1364 memory: 22137 grad_norm: 0.8146 loss: 1.1472 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4471 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3041 instance_segmentation_loss_poly: 0.7995 detection_loss_cls: 0.0590 detection_loss_reg: 0.4564 grounding_loss_reg: 3.6168 +2023/10/22 05:18:30 - mmengine - INFO - Saving checkpoint at 207500 iterations +2023/10/22 05:35:09 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 05:35:09 - mmengine - INFO - Iter(train) [208000/320000] base_lr: 5.6056e-05 lr: 2.3295e-05 eta: 2 days, 6:04:29 time: 1.8459 data_time: 0.1362 memory: 22137 grad_norm: 0.7930 loss: 1.1295 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4534 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3039 instance_segmentation_loss_poly: 0.7976 detection_loss_cls: 0.0586 detection_loss_reg: 0.4552 grounding_loss_reg: 3.6148 +2023/10/22 05:35:09 - mmengine - INFO - Saving checkpoint at 208000 iterations +2023/10/22 05:51:48 - mmengine - INFO - Iter(train) [208500/320000] base_lr: 5.5623e-05 lr: 2.3124e-05 eta: 2 days, 6:33:57 time: 1.8989 data_time: 0.1352 memory: 22137 grad_norm: 0.7907 loss: 1.1241 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4548 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3041 instance_segmentation_loss_poly: 0.7964 detection_loss_cls: 0.0591 detection_loss_reg: 0.4569 grounding_loss_reg: 3.6114 +2023/10/22 05:51:48 - mmengine - INFO - Saving checkpoint at 208500 iterations +2023/10/22 06:08:50 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 06:08:50 - mmengine - INFO - Iter(train) [209000/320000] base_lr: 5.5192e-05 lr: 2.2954e-05 eta: 2 days, 7:02:40 time: 1.9384 data_time: 0.1341 memory: 21622 grad_norm: 0.8011 loss: 1.1324 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4527 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.7936 detection_loss_cls: 0.0591 detection_loss_reg: 0.4556 grounding_loss_reg: 3.6091 +2023/10/22 06:08:50 - mmengine - INFO - Saving checkpoint at 209000 iterations +2023/10/22 06:25:43 - mmengine - INFO - Iter(train) [209500/320000] base_lr: 5.4762e-05 lr: 2.2785e-05 eta: 2 days, 7:21:59 time: 1.9737 data_time: 0.1339 memory: 22137 grad_norm: 0.8076 loss: 1.1360 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4467 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.7919 detection_loss_cls: 0.0590 detection_loss_reg: 0.4547 grounding_loss_reg: 3.6057 +2023/10/22 06:25:43 - mmengine - INFO - Saving checkpoint at 209500 iterations +2023/10/22 06:40:27 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 06:40:27 - mmengine - INFO - Iter(train) [210000/320000] base_lr: 5.4333e-05 lr: 2.2616e-05 eta: 2 days, 7:01:58 time: 1.9559 data_time: 0.1331 memory: 22137 grad_norm: 0.8165 loss: 1.1434 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4498 instance_segmentation_loss_cls: 0.0400 instance_segmentation_loss_reg: 0.3023 instance_segmentation_loss_poly: 0.7908 detection_loss_cls: 0.0587 detection_loss_reg: 0.4541 grounding_loss_reg: 3.6014 +2023/10/22 06:40:27 - mmengine - INFO - Saving checkpoint at 210000 iterations +2023/10/22 06:56:24 - mmengine - INFO - Iter(train) [210500/320000] base_lr: 5.3905e-05 lr: 2.2447e-05 eta: 2 days, 7:00:45 time: 1.9524 data_time: 0.1327 memory: 22137 grad_norm: 0.8195 loss: 1.1573 semantic_segmentation_loss_cls: 0.0135 caption_loss_cls: 2.4521 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 0.7911 detection_loss_cls: 0.0588 detection_loss_reg: 0.4544 grounding_loss_reg: 3.5986 +2023/10/22 06:56:24 - mmengine - INFO - Saving checkpoint at 210500 iterations +2023/10/22 07:12:46 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 07:12:46 - mmengine - INFO - Iter(train) [211000/320000] base_lr: 5.3478e-05 lr: 2.2279e-05 eta: 2 days, 7:03:13 time: 1.9632 data_time: 0.1328 memory: 22137 grad_norm: 0.8289 loss: 1.1546 semantic_segmentation_loss_cls: 0.0134 caption_loss_cls: 2.4477 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.7899 detection_loss_cls: 0.0587 detection_loss_reg: 0.4534 grounding_loss_reg: 3.5962 +2023/10/22 07:12:46 - mmengine - INFO - Saving checkpoint at 211000 iterations +2023/10/22 07:30:28 - mmengine - INFO - Iter(train) [211500/320000] base_lr: 5.3052e-05 lr: 2.2111e-05 eta: 2 days, 7:20:38 time: 1.9791 data_time: 0.1336 memory: 22137 grad_norm: 0.8261 loss: 1.1605 semantic_segmentation_loss_cls: 0.0134 caption_loss_cls: 2.4514 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.7923 detection_loss_cls: 0.0586 detection_loss_reg: 0.4525 grounding_loss_reg: 3.5946 +2023/10/22 07:30:28 - mmengine - INFO - Saving checkpoint at 211500 iterations +2023/10/22 07:47:09 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 07:47:10 - mmengine - INFO - Iter(train) [212000/320000] base_lr: 5.2627e-05 lr: 2.1944e-05 eta: 2 days, 7:21:55 time: 1.9798 data_time: 0.1338 memory: 22137 grad_norm: 0.8330 loss: 1.1677 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4468 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3044 instance_segmentation_loss_poly: 0.7959 detection_loss_cls: 0.0588 detection_loss_reg: 0.4522 grounding_loss_reg: 3.5925 +2023/10/22 07:47:10 - mmengine - INFO - Saving checkpoint at 212000 iterations +2023/10/22 08:03:20 - mmengine - INFO - Iter(train) [212500/320000] base_lr: 5.2204e-05 lr: 2.1777e-05 eta: 2 days, 7:15:32 time: 1.9726 data_time: 0.1340 memory: 22137 grad_norm: 0.8440 loss: 1.1753 semantic_segmentation_loss_cls: 0.0134 caption_loss_cls: 2.4454 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.3038 instance_segmentation_loss_poly: 0.7963 detection_loss_cls: 0.0587 detection_loss_reg: 0.4518 grounding_loss_reg: 3.5901 +2023/10/22 08:03:20 - mmengine - INFO - Saving checkpoint at 212500 iterations +2023/10/22 08:20:07 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 08:20:07 - mmengine - INFO - Iter(train) [213000/320000] base_lr: 5.1782e-05 lr: 2.1611e-05 eta: 2 days, 7:14:36 time: 1.9688 data_time: 0.1351 memory: 22137 grad_norm: 0.8483 loss: 1.1747 semantic_segmentation_loss_cls: 0.0134 caption_loss_cls: 2.4469 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.7954 detection_loss_cls: 0.0588 detection_loss_reg: 0.4524 grounding_loss_reg: 3.5871 +2023/10/22 08:20:07 - mmengine - INFO - Saving checkpoint at 213000 iterations +2023/10/22 08:37:20 - mmengine - INFO - Iter(train) [213500/320000] base_lr: 5.1361e-05 lr: 2.1445e-05 eta: 2 days, 7:16:34 time: 1.9736 data_time: 0.1362 memory: 22137 grad_norm: 0.8580 loss: 1.1803 semantic_segmentation_loss_cls: 0.0134 caption_loss_cls: 2.4392 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.3045 instance_segmentation_loss_poly: 0.7973 detection_loss_cls: 0.0587 detection_loss_reg: 0.4512 grounding_loss_reg: 3.5836 +2023/10/22 08:37:20 - mmengine - INFO - Saving checkpoint at 213500 iterations +2023/10/22 08:54:33 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 08:54:33 - mmengine - INFO - Iter(train) [214000/320000] base_lr: 5.0941e-05 lr: 2.1280e-05 eta: 2 days, 7:16:56 time: 2.0113 data_time: 0.1363 memory: 22137 grad_norm: 0.8563 loss: 1.1752 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4364 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.7950 detection_loss_cls: 0.0587 detection_loss_reg: 0.4509 grounding_loss_reg: 3.5799 +2023/10/22 08:54:33 - mmengine - INFO - Saving checkpoint at 214000 iterations +2023/10/22 09:10:39 - mmengine - INFO - Iter(train) [214500/320000] base_lr: 5.0522e-05 lr: 2.1115e-05 eta: 2 days, 7:05:20 time: 2.0133 data_time: 0.1357 memory: 22137 grad_norm: 0.8583 loss: 1.1593 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4266 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.7926 detection_loss_cls: 0.0584 detection_loss_reg: 0.4493 grounding_loss_reg: 3.5786 +2023/10/22 09:10:39 - mmengine - INFO - Saving checkpoint at 214500 iterations +2023/10/22 09:27:13 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 09:27:13 - mmengine - INFO - Iter(train) [215000/320000] base_lr: 5.0105e-05 lr: 2.0950e-05 eta: 2 days, 6:57:33 time: 2.0164 data_time: 0.1358 memory: 22137 grad_norm: 0.8668 loss: 1.1711 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4281 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.7922 detection_loss_cls: 0.0580 detection_loss_reg: 0.4480 grounding_loss_reg: 3.5757 +2023/10/22 09:27:13 - mmengine - INFO - Saving checkpoint at 215000 iterations +2023/10/22 09:44:22 - mmengine - INFO - Iter(train) [215500/320000] base_lr: 4.9688e-05 lr: 2.0786e-05 eta: 2 days, 6:53:54 time: 2.0080 data_time: 0.1357 memory: 22137 grad_norm: 0.8644 loss: 1.1643 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4246 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.7920 detection_loss_cls: 0.0580 detection_loss_reg: 0.4482 grounding_loss_reg: 3.5743 +2023/10/22 09:44:22 - mmengine - INFO - Saving checkpoint at 215500 iterations +2023/10/22 10:01:34 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 10:01:34 - mmengine - INFO - Iter(train) [216000/320000] base_lr: 4.9273e-05 lr: 2.0623e-05 eta: 2 days, 6:49:36 time: 2.0156 data_time: 0.1362 memory: 22137 grad_norm: 0.8695 loss: 1.1529 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4170 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3039 instance_segmentation_loss_poly: 0.7941 detection_loss_cls: 0.0580 detection_loss_reg: 0.4491 grounding_loss_reg: 3.5713 +2023/10/22 10:01:34 - mmengine - INFO - Saving checkpoint at 216000 iterations +2023/10/22 10:17:56 - mmengine - INFO - Iter(train) [216500/320000] base_lr: 4.8860e-05 lr: 2.0460e-05 eta: 2 days, 6:38:05 time: 2.0186 data_time: 0.1366 memory: 22137 grad_norm: 0.8722 loss: 1.1508 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4141 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3044 instance_segmentation_loss_poly: 0.7940 detection_loss_cls: 0.0578 detection_loss_reg: 0.4471 grounding_loss_reg: 3.5701 +2023/10/22 10:17:56 - mmengine - INFO - Saving checkpoint at 216500 iterations +2023/10/22 10:33:43 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 10:33:43 - mmengine - INFO - Iter(train) [217000/320000] base_lr: 4.8447e-05 lr: 2.0297e-05 eta: 2 days, 6:21:46 time: 2.0036 data_time: 0.1355 memory: 22137 grad_norm: 0.8864 loss: 1.1600 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4072 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3047 instance_segmentation_loss_poly: 0.7946 detection_loss_cls: 0.0577 detection_loss_reg: 0.4462 grounding_loss_reg: 3.5681 +2023/10/22 10:33:43 - mmengine - INFO - Saving checkpoint at 217000 iterations +2023/10/22 10:51:17 - mmengine - INFO - Iter(train) [217500/320000] base_lr: 4.8036e-05 lr: 2.0135e-05 eta: 2 days, 6:18:13 time: 2.0090 data_time: 0.1348 memory: 22137 grad_norm: 0.8880 loss: 1.1479 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4122 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3046 instance_segmentation_loss_poly: 0.7932 detection_loss_cls: 0.0576 detection_loss_reg: 0.4456 grounding_loss_reg: 3.5654 +2023/10/22 10:51:17 - mmengine - INFO - Saving checkpoint at 217500 iterations +2023/10/22 11:10:26 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 11:10:26 - mmengine - INFO - Iter(train) [218000/320000] base_lr: 4.7626e-05 lr: 1.9974e-05 eta: 2 days, 6:24:22 time: 2.0377 data_time: 0.1365 memory: 22137 grad_norm: 0.8912 loss: 1.1377 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4093 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.7916 detection_loss_cls: 0.0571 detection_loss_reg: 0.4440 grounding_loss_reg: 3.5637 +2023/10/22 11:10:26 - mmengine - INFO - Saving checkpoint at 218000 iterations +2023/10/22 11:27:28 - mmengine - INFO - Iter(train) [218500/320000] base_lr: 4.7217e-05 lr: 1.9813e-05 eta: 2 days, 6:15:08 time: 2.0519 data_time: 0.1365 memory: 22137 grad_norm: 0.8843 loss: 1.1374 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4106 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.7897 detection_loss_cls: 0.0569 detection_loss_reg: 0.4432 grounding_loss_reg: 3.5611 +2023/10/22 11:27:28 - mmengine - INFO - Saving checkpoint at 218500 iterations +2023/10/22 11:44:57 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 11:44:57 - mmengine - INFO - Iter(train) [219000/320000] base_lr: 4.6810e-05 lr: 1.9652e-05 eta: 2 days, 6:08:11 time: 2.0655 data_time: 0.1356 memory: 22137 grad_norm: 0.8652 loss: 1.1220 semantic_segmentation_loss_cls: 0.0132 caption_loss_cls: 2.4070 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 0.7892 detection_loss_cls: 0.0566 detection_loss_reg: 0.4418 grounding_loss_reg: 3.5603 +2023/10/22 11:44:57 - mmengine - INFO - Saving checkpoint at 219000 iterations +2023/10/22 12:02:16 - mmengine - INFO - Iter(train) [219500/320000] base_lr: 4.6404e-05 lr: 1.9493e-05 eta: 2 days, 5:59:39 time: 2.0681 data_time: 0.1346 memory: 22137 grad_norm: 0.8857 loss: 1.1276 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4047 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.7876 detection_loss_cls: 0.0567 detection_loss_reg: 0.4436 grounding_loss_reg: 3.5553 +2023/10/22 12:02:16 - mmengine - INFO - Saving checkpoint at 219500 iterations +2023/10/22 12:19:20 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 12:19:20 - mmengine - INFO - Iter(train) [220000/320000] base_lr: 4.5999e-05 lr: 1.9333e-05 eta: 2 days, 5:49:08 time: 2.0663 data_time: 0.1342 memory: 22137 grad_norm: 0.8971 loss: 1.1440 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4093 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.7871 detection_loss_cls: 0.0569 detection_loss_reg: 0.4450 grounding_loss_reg: 3.5515 +2023/10/22 12:19:20 - mmengine - INFO - Saving checkpoint at 220000 iterations +2023/10/22 12:24:27 - mmengine - INFO - Evaluating bbox... +2023/10/22 12:25:29 - mmengine - INFO - bbox_mAP_copypaste: 0.397 0.568 0.427 0.247 0.439 0.533 +2023/10/22 12:25:29 - mmengine - INFO - Evaluating segm... +2023/10/22 12:26:47 - mmengine - INFO - segm_mAP_copypaste: 0.262 0.483 0.251 0.130 0.304 0.419 +2023/10/22 12:28:01 - mmengine - INFO - Evaluating bbox... +2023/10/22 12:29:05 - mmengine - INFO - bbox_mAP_copypaste: 0.399 0.570 0.428 0.250 0.441 0.533 +2023/10/22 12:31:30 - mmengine - INFO - per class results: +2023/10/22 12:31:30 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 72.03 | 83.46 | +| building | 80.33 | 90.86 | +| sky | 92.92 | 96.81 | +| floor | 76.43 | 87.63 | +| tree | 71.51 | 86.75 | +| ceiling | 77.78 | 94.82 | +| road | 80.21 | 85.22 | +| bed | 83.81 | 93.68 | +| windowpane | 54.71 | 69.5 | +| grass | 65.04 | 85.38 | +| cabinet | 54.56 | 66.07 | +| sidewalk | 58.8 | 71.87 | +| person | 76.98 | 89.85 | +| earth | 35.08 | 46.25 | +| door | 37.7 | 52.72 | +| table | 50.88 | 70.36 | +| mountain | 53.27 | 64.59 | +| plant | 48.67 | 65.34 | +| curtain | 65.21 | 85.72 | +| chair | 47.3 | 66.31 | +| car | 78.13 | 89.76 | +| water | 52.82 | 77.57 | +| painting | 62.19 | 85.39 | +| sofa | 59.61 | 79.03 | +| shelf | 38.83 | 62.87 | +| house | 44.74 | 56.74 | +| sea | 55.32 | 70.53 | +| mirror | 54.56 | 65.11 | +| rug | 53.16 | 62.68 | +| field | 34.32 | 48.35 | +| armchair | 34.94 | 52.98 | +| seat | 59.41 | 73.9 | +| fence | 36.82 | 51.6 | +| desk | 41.18 | 61.36 | +| rock | 46.56 | 78.45 | +| wardrobe | 40.68 | 64.53 | +| lamp | 52.4 | 70.85 | +| bathtub | 70.24 | 79.91 | +| railing | 25.2 | 36.16 | +| cushion | 45.79 | 64.52 | +| base | 17.01 | 21.18 | +| box | 19.77 | 24.57 | +| column | 40.06 | 59.67 | +| signboard | 33.81 | 43.72 | +| chest of drawers | 36.61 | 46.05 | +| counter | 30.9 | 45.49 | +| sand | 26.88 | 40.4 | +| sink | 59.94 | 72.42 | +| skyscraper | 56.97 | 87.97 | +| fireplace | 56.02 | 73.53 | +| refrigerator | 63.74 | 79.57 | +| grandstand | 46.63 | 55.33 | +| path | 17.5 | 23.19 | +| stairs | 31.76 | 42.1 | +| runway | 72.21 | 93.34 | +| case | 44.29 | 50.98 | +| pool table | 83.43 | 94.54 | +| pillow | 36.57 | 42.23 | +| screen door | 37.95 | 46.13 | +| stairway | 30.01 | 32.19 | +| river | 21.55 | 25.97 | +| bridge | 44.45 | 72.46 | +| bookcase | 31.26 | 61.19 | +| blind | 31.37 | 49.15 | +| coffee table | 53.64 | 69.33 | +| toilet | 77.67 | 84.9 | +| flower | 28.22 | 37.97 | +| book | 37.92 | 59.41 | +| hill | 10.76 | 12.76 | +| bench | 37.73 | 47.35 | +| countertop | 47.45 | 61.51 | +| stove | 55.73 | 83.22 | +| palm | 46.16 | 56.8 | +| kitchen island | 36.99 | 69.37 | +| computer | 56.76 | 71.02 | +| swivel chair | 40.35 | 60.19 | +| boat | 72.23 | 86.03 | +| bar | 34.96 | 40.17 | +| arcade machine | 38.0 | 53.28 | +| hovel | 38.86 | 52.95 | +| bus | 76.72 | 95.5 | +| towel | 52.45 | 68.3 | +| light | 36.9 | 42.53 | +| truck | 39.1 | 59.29 | +| tower | 29.86 | 45.22 | +| chandelier | 58.65 | 76.55 | +| awning | 24.21 | 31.91 | +| streetlight | 20.8 | 29.02 | +| booth | 35.2 | 53.6 | +| television receiver | 60.23 | 81.91 | +| airplane | 42.66 | 63.42 | +| dirt track | 10.31 | 15.21 | +| apparel | 14.85 | 18.09 | +| pole | 17.87 | 26.72 | +| land | 0.11 | 0.14 | +| bannister | 1.86 | 2.1 | +| escalator | 33.91 | 41.66 | +| ottoman | 38.87 | 50.17 | +| bottle | 21.86 | 28.37 | +| buffet | 37.36 | 43.17 | +| poster | 14.1 | 20.28 | +| stage | 8.85 | 14.09 | +| van | 19.65 | 22.3 | +| ship | 0.37 | 0.37 | +| fountain | 10.3 | 10.66 | +| conveyer belt | 64.03 | 87.15 | +| canopy | 15.55 | 18.45 | +| washer | 65.28 | 67.05 | +| plaything | 20.5 | 28.23 | +| swimming pool | 32.24 | 54.18 | +| stool | 34.85 | 51.57 | +| barrel | 15.49 | 63.43 | +| basket | 23.77 | 31.52 | +| waterfall | 53.36 | 62.12 | +| tent | 84.96 | 96.01 | +| bag | 9.67 | 10.34 | +| minibike | 68.38 | 77.06 | +| cradle | 68.76 | 96.71 | +| oven | 11.26 | 13.47 | +| ball | 34.61 | 45.43 | +| food | 43.56 | 49.33 | +| step | 0.0 | 0.0 | +| tank | 28.35 | 33.94 | +| trade name | 23.02 | 26.91 | +| microwave | 81.51 | 89.89 | +| pot | 40.18 | 45.64 | +| animal | 59.43 | 66.58 | +| bicycle | 55.08 | 79.46 | +| lake | 0.0 | 0.0 | +| dishwasher | 33.52 | 38.61 | +| screen | 54.97 | 76.09 | +| blanket | 0.03 | 0.03 | +| sculpture | 39.85 | 47.76 | +| hood | 35.2 | 40.47 | +| sconce | 19.87 | 23.22 | +| vase | 31.99 | 56.29 | +| traffic light | 24.33 | 32.47 | +| tray | 3.04 | 4.65 | +| ashcan | 33.1 | 51.29 | +| fan | 46.85 | 59.18 | +| pier | 50.73 | 63.63 | +| crt screen | 2.99 | 8.5 | +| plate | 46.52 | 59.75 | +| monitor | 6.12 | 9.3 | +| bulletin board | 32.45 | 48.07 | +| shower | 1.01 | 13.6 | +| radiator | 40.79 | 50.39 | +| glass | 10.48 | 11.09 | +| clock | 17.41 | 21.91 | +| flag | 41.23 | 48.93 | ++---------------------+-------+-------+ +2023/10/22 12:32:14 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.3990 coco/bbox_mAP_50: 0.5700 coco/bbox_mAP_75: 0.4280 coco/bbox_mAP_s: 0.2500 coco/bbox_mAP_m: 0.4410 coco/bbox_mAP_l: 0.5330 coco/segm_mAP: 0.2620 coco/segm_mAP_50: 0.4830 coco/segm_mAP_75: 0.2510 coco/segm_mAP_s: 0.1300 coco/segm_mAP_m: 0.3040 coco/segm_mAP_l: 0.4190 Bleu_1: 0.7328 Bleu_2: 0.5601 Bleu_3: 0.4191 Bleu_4: 0.3117 METEOR: 0.2561 ROUGE_L: 0.5368 CIDEr: 0.9872 SPICE: 0.1851 aAcc: 79.6300 mIoU: 41.1200 mAcc: 53.4400 visual-grounding/miou: 0.6601 visual-grounding/acc: 0.7434 data_time: 0.1802 time: 0.7002 +2023/10/22 12:47:49 - mmengine - INFO - Iter(train) [220500/320000] base_lr: 4.5596e-05 lr: 1.9174e-05 eta: 2 days, 5:30:54 time: 2.0573 data_time: 0.1235 memory: 22137 grad_norm: 0.8821 loss: 1.1313 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4037 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.7865 detection_loss_cls: 0.0574 detection_loss_reg: 0.4463 grounding_loss_reg: 3.5517 +2023/10/22 12:47:49 - mmengine - INFO - Saving checkpoint at 220500 iterations +2023/10/22 13:02:57 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 13:02:57 - mmengine - INFO - Iter(train) [221000/320000] base_lr: 4.5194e-05 lr: 1.9016e-05 eta: 2 days, 5:09:18 time: 2.0479 data_time: 0.1245 memory: 22137 grad_norm: 0.8578 loss: 1.1117 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4005 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.7868 detection_loss_cls: 0.0574 detection_loss_reg: 0.4477 grounding_loss_reg: 3.5518 +2023/10/22 13:02:57 - mmengine - INFO - Saving checkpoint at 221000 iterations +2023/10/22 13:19:02 - mmengine - INFO - Iter(train) [221500/320000] base_lr: 4.4793e-05 lr: 1.8858e-05 eta: 2 days, 4:53:03 time: 2.0255 data_time: 0.1263 memory: 22137 grad_norm: 0.8670 loss: 1.1268 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.3993 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.7844 detection_loss_cls: 0.0577 detection_loss_reg: 0.4487 grounding_loss_reg: 3.5480 +2023/10/22 13:19:02 - mmengine - INFO - Saving checkpoint at 221500 iterations +2023/10/22 13:36:03 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 13:36:03 - mmengine - INFO - Iter(train) [222000/320000] base_lr: 4.4394e-05 lr: 1.8701e-05 eta: 2 days, 4:41:36 time: 1.9936 data_time: 0.1252 memory: 22137 grad_norm: 0.8629 loss: 1.1279 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.3996 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.7843 detection_loss_cls: 0.0573 detection_loss_reg: 0.4466 grounding_loss_reg: 3.5443 +2023/10/22 13:36:03 - mmengine - INFO - Saving checkpoint at 222000 iterations +2023/10/22 13:56:53 - mmengine - INFO - Iter(train) [222500/320000] base_lr: 4.3996e-05 lr: 1.8544e-05 eta: 2 days, 4:48:56 time: 2.0505 data_time: 0.1342 memory: 22137 grad_norm: 0.8525 loss: 1.1207 semantic_segmentation_loss_cls: 0.0133 caption_loss_cls: 2.4013 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.7810 detection_loss_cls: 0.0572 detection_loss_reg: 0.4476 grounding_loss_reg: 3.5419 +2023/10/22 13:56:53 - mmengine - INFO - Saving checkpoint at 222500 iterations +2023/10/22 14:13:39 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 14:13:39 - mmengine - INFO - Iter(train) [223000/320000] base_lr: 4.3599e-05 lr: 1.8388e-05 eta: 2 days, 4:35:12 time: 2.0399 data_time: 0.1354 memory: 22137 grad_norm: 0.8654 loss: 1.1250 semantic_segmentation_loss_cls: 0.0132 caption_loss_cls: 2.4006 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.7808 detection_loss_cls: 0.0574 detection_loss_reg: 0.4488 grounding_loss_reg: 3.5394 +2023/10/22 14:13:40 - mmengine - INFO - Saving checkpoint at 223000 iterations +2023/10/22 14:31:15 - mmengine - INFO - Iter(train) [223500/320000] base_lr: 4.3204e-05 lr: 1.8232e-05 eta: 2 days, 4:25:12 time: 2.0441 data_time: 0.1382 memory: 22137 grad_norm: 0.8539 loss: 1.1238 semantic_segmentation_loss_cls: 0.0132 caption_loss_cls: 2.4035 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.7793 detection_loss_cls: 0.0574 detection_loss_reg: 0.4483 grounding_loss_reg: 3.5371 +2023/10/22 14:31:15 - mmengine - INFO - Saving checkpoint at 223500 iterations +2023/10/22 14:48:14 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 14:48:14 - mmengine - INFO - Iter(train) [224000/320000] base_lr: 4.2810e-05 lr: 1.8077e-05 eta: 2 days, 4:11:58 time: 2.0425 data_time: 0.1382 memory: 22137 grad_norm: 0.8350 loss: 1.1074 semantic_segmentation_loss_cls: 0.0132 caption_loss_cls: 2.4028 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7771 detection_loss_cls: 0.0575 detection_loss_reg: 0.4495 grounding_loss_reg: 3.5360 +2023/10/22 14:48:14 - mmengine - INFO - Saving checkpoint at 224000 iterations +2023/10/22 15:06:24 - mmengine - INFO - Iter(train) [224500/320000] base_lr: 4.2418e-05 lr: 1.7922e-05 eta: 2 days, 4:03:54 time: 2.0783 data_time: 0.1527 memory: 22137 grad_norm: 0.8419 loss: 1.1162 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4016 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.7808 detection_loss_cls: 0.0577 detection_loss_reg: 0.4505 grounding_loss_reg: 3.5336 +2023/10/22 15:06:24 - mmengine - INFO - Saving checkpoint at 224500 iterations +2023/10/22 15:25:36 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 15:25:36 - mmengine - INFO - Iter(train) [225000/320000] base_lr: 4.2027e-05 lr: 1.7768e-05 eta: 2 days, 3:59:50 time: 2.1392 data_time: 0.1571 memory: 22137 grad_norm: 0.8586 loss: 1.1264 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4001 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.7788 detection_loss_cls: 0.0576 detection_loss_reg: 0.4504 grounding_loss_reg: 3.5315 +2023/10/22 15:25:36 - mmengine - INFO - Saving checkpoint at 225000 iterations +2023/10/22 15:41:52 - mmengine - INFO - Iter(train) [225500/320000] base_lr: 4.1637e-05 lr: 1.7615e-05 eta: 2 days, 3:42:45 time: 2.1420 data_time: 0.1559 memory: 22137 grad_norm: 0.8486 loss: 1.1238 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4041 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7771 detection_loss_cls: 0.0573 detection_loss_reg: 0.4505 grounding_loss_reg: 3.5297 +2023/10/22 15:41:52 - mmengine - INFO - Saving checkpoint at 225500 iterations +2023/10/22 15:58:57 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 15:58:57 - mmengine - INFO - Iter(train) [226000/320000] base_lr: 4.1249e-05 lr: 1.7462e-05 eta: 2 days, 3:29:00 time: 2.1429 data_time: 0.1565 memory: 22137 grad_norm: 0.8577 loss: 1.1338 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4032 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7767 detection_loss_cls: 0.0570 detection_loss_reg: 0.4518 grounding_loss_reg: 3.5248 +2023/10/22 15:58:57 - mmengine - INFO - Saving checkpoint at 226000 iterations +2023/10/22 16:15:01 - mmengine - INFO - Iter(train) [226500/320000] base_lr: 4.0862e-05 lr: 1.7309e-05 eta: 2 days, 3:11:07 time: 2.0715 data_time: 0.1488 memory: 22137 grad_norm: 0.8654 loss: 1.1439 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4017 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7771 detection_loss_cls: 0.0569 detection_loss_reg: 0.4512 grounding_loss_reg: 3.5196 +2023/10/22 16:15:01 - mmengine - INFO - Saving checkpoint at 226500 iterations +2023/10/22 16:33:13 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 16:33:13 - mmengine - INFO - Iter(train) [227000/320000] base_lr: 4.0477e-05 lr: 1.7157e-05 eta: 2 days, 3:01:33 time: 2.0928 data_time: 0.1496 memory: 22137 grad_norm: 0.8574 loss: 1.1493 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4049 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7772 detection_loss_cls: 0.0572 detection_loss_reg: 0.4515 grounding_loss_reg: 3.5181 +2023/10/22 16:33:13 - mmengine - INFO - Saving checkpoint at 227000 iterations +2023/10/22 16:51:16 - mmengine - INFO - Iter(train) [227500/320000] base_lr: 4.0093e-05 lr: 1.7006e-05 eta: 2 days, 2:51:07 time: 2.0997 data_time: 0.1514 memory: 22137 grad_norm: 0.8590 loss: 1.1519 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.3995 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7782 detection_loss_cls: 0.0572 detection_loss_reg: 0.4528 grounding_loss_reg: 3.5162 +2023/10/22 16:51:16 - mmengine - INFO - Saving checkpoint at 227500 iterations +2023/10/22 17:06:51 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 17:06:51 - mmengine - INFO - Iter(train) [228000/320000] base_lr: 3.9710e-05 lr: 1.6856e-05 eta: 2 days, 2:31:14 time: 2.0788 data_time: 0.1517 memory: 22137 grad_norm: 0.8675 loss: 1.1557 semantic_segmentation_loss_cls: 0.0131 caption_loss_cls: 2.4007 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7760 detection_loss_cls: 0.0569 detection_loss_reg: 0.4517 grounding_loss_reg: 3.5135 +2023/10/22 17:06:51 - mmengine - INFO - Saving checkpoint at 228000 iterations +2023/10/22 17:23:32 - mmengine - INFO - Iter(train) [228500/320000] base_lr: 3.9330e-05 lr: 1.6706e-05 eta: 2 days, 2:15:31 time: 2.0565 data_time: 0.1485 memory: 22137 grad_norm: 0.8596 loss: 1.1468 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.4001 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7779 detection_loss_cls: 0.0573 detection_loss_reg: 0.4530 grounding_loss_reg: 3.5107 +2023/10/22 17:23:32 - mmengine - INFO - Saving checkpoint at 228500 iterations +2023/10/22 17:39:40 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 17:39:40 - mmengine - INFO - Iter(train) [229000/320000] base_lr: 3.8950e-05 lr: 1.6556e-05 eta: 2 days, 1:57:49 time: 2.0105 data_time: 0.1444 memory: 22137 grad_norm: 0.8626 loss: 1.1461 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3995 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.7796 detection_loss_cls: 0.0570 detection_loss_reg: 0.4510 grounding_loss_reg: 3.5054 +2023/10/22 17:39:40 - mmengine - INFO - Saving checkpoint at 229000 iterations +2023/10/22 17:56:11 - mmengine - INFO - Iter(train) [229500/320000] base_lr: 3.8572e-05 lr: 1.6407e-05 eta: 2 days, 1:41:31 time: 2.0144 data_time: 0.1450 memory: 22137 grad_norm: 0.8661 loss: 1.1339 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3949 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.7806 detection_loss_cls: 0.0568 detection_loss_reg: 0.4508 grounding_loss_reg: 3.5028 +2023/10/22 17:56:12 - mmengine - INFO - Saving checkpoint at 229500 iterations +2023/10/22 18:13:21 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 18:13:21 - mmengine - INFO - Iter(train) [230000/320000] base_lr: 3.8196e-05 lr: 1.6259e-05 eta: 2 days, 1:27:19 time: 2.0156 data_time: 0.1455 memory: 22137 grad_norm: 0.8728 loss: 1.1457 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3968 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.7818 detection_loss_cls: 0.0565 detection_loss_reg: 0.4506 grounding_loss_reg: 3.4991 +2023/10/22 18:13:21 - mmengine - INFO - Saving checkpoint at 230000 iterations +2023/10/22 18:30:15 - mmengine - INFO - Iter(train) [230500/320000] base_lr: 3.7821e-05 lr: 1.6111e-05 eta: 2 days, 1:12:09 time: 2.0280 data_time: 0.1459 memory: 22137 grad_norm: 0.8822 loss: 1.1436 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3942 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3016 instance_segmentation_loss_poly: 0.7835 detection_loss_cls: 0.0567 detection_loss_reg: 0.4518 grounding_loss_reg: 3.4961 +2023/10/22 18:30:15 - mmengine - INFO - Saving checkpoint at 230500 iterations +2023/10/22 18:47:27 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 18:47:27 - mmengine - INFO - Iter(train) [231000/320000] base_lr: 3.7448e-05 lr: 1.5964e-05 eta: 2 days, 0:57:53 time: 2.0130 data_time: 0.1460 memory: 22137 grad_norm: 0.8811 loss: 1.1363 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3968 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.7854 detection_loss_cls: 0.0569 detection_loss_reg: 0.4528 grounding_loss_reg: 3.4929 +2023/10/22 18:47:27 - mmengine - INFO - Saving checkpoint at 231000 iterations +2023/10/22 19:03:58 - mmengine - INFO - Iter(train) [231500/320000] base_lr: 3.7076e-05 lr: 1.5818e-05 eta: 2 days, 0:41:25 time: 1.9899 data_time: 0.1428 memory: 22137 grad_norm: 0.8813 loss: 1.1298 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3941 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.7841 detection_loss_cls: 0.0568 detection_loss_reg: 0.4526 grounding_loss_reg: 3.4899 +2023/10/22 19:03:58 - mmengine - INFO - Saving checkpoint at 231500 iterations +2023/10/22 19:22:47 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 19:22:47 - mmengine - INFO - Iter(train) [232000/320000] base_lr: 3.6705e-05 lr: 1.5672e-05 eta: 2 days, 0:31:54 time: 2.0385 data_time: 0.1454 memory: 22137 grad_norm: 0.8732 loss: 1.1279 semantic_segmentation_loss_cls: 0.0130 caption_loss_cls: 2.3996 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.3024 instance_segmentation_loss_poly: 0.7844 detection_loss_cls: 0.0569 detection_loss_reg: 0.4538 grounding_loss_reg: 3.4873 +2023/10/22 19:22:47 - mmengine - INFO - Saving checkpoint at 232000 iterations +2023/10/22 19:41:06 - mmengine - INFO - Iter(train) [232500/320000] base_lr: 3.6337e-05 lr: 1.5527e-05 eta: 2 days, 0:20:37 time: 2.0630 data_time: 0.1458 memory: 22137 grad_norm: 0.8744 loss: 1.1269 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.4030 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.7802 detection_loss_cls: 0.0569 detection_loss_reg: 0.4538 grounding_loss_reg: 3.4859 +2023/10/22 19:41:06 - mmengine - INFO - Saving checkpoint at 232500 iterations +2023/10/22 19:58:27 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 19:58:27 - mmengine - INFO - Iter(train) [233000/320000] base_lr: 3.5969e-05 lr: 1.5382e-05 eta: 2 days, 0:06:16 time: 2.0812 data_time: 0.1456 memory: 21623 grad_norm: 0.8552 loss: 1.1068 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.4020 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.7785 detection_loss_cls: 0.0565 detection_loss_reg: 0.4521 grounding_loss_reg: 3.4823 +2023/10/22 19:58:27 - mmengine - INFO - Saving checkpoint at 233000 iterations +2023/10/22 20:14:34 - mmengine - INFO - Iter(train) [233500/320000] base_lr: 3.5604e-05 lr: 1.5238e-05 eta: 1 day, 23:48:20 time: 2.0751 data_time: 0.1451 memory: 22137 grad_norm: 0.8542 loss: 1.1137 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.4000 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7775 detection_loss_cls: 0.0562 detection_loss_reg: 0.4507 grounding_loss_reg: 3.4810 +2023/10/22 20:14:34 - mmengine - INFO - Saving checkpoint at 233500 iterations +2023/10/22 20:30:49 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 20:30:49 - mmengine - INFO - Iter(train) [234000/320000] base_lr: 3.5240e-05 lr: 1.5094e-05 eta: 1 day, 23:30:51 time: 2.0616 data_time: 0.1447 memory: 22137 grad_norm: 0.8333 loss: 1.0941 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3946 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.7780 detection_loss_cls: 0.0561 detection_loss_reg: 0.4501 grounding_loss_reg: 3.4794 +2023/10/22 20:30:49 - mmengine - INFO - Saving checkpoint at 234000 iterations +2023/10/22 20:46:55 - mmengine - INFO - Iter(train) [234500/320000] base_lr: 3.4877e-05 lr: 1.4952e-05 eta: 1 day, 23:12:58 time: 2.0496 data_time: 0.1460 memory: 22137 grad_norm: 0.8286 loss: 1.0972 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3973 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.7794 detection_loss_cls: 0.0562 detection_loss_reg: 0.4504 grounding_loss_reg: 3.4796 +2023/10/22 20:46:55 - mmengine - INFO - Saving checkpoint at 234500 iterations +2023/10/22 21:03:27 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 21:03:27 - mmengine - INFO - Iter(train) [235000/320000] base_lr: 3.4516e-05 lr: 1.4809e-05 eta: 1 day, 22:56:17 time: 2.0396 data_time: 0.1457 memory: 22137 grad_norm: 0.8259 loss: 1.0853 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3941 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.7764 detection_loss_cls: 0.0560 detection_loss_reg: 0.4510 grounding_loss_reg: 3.4760 +2023/10/22 21:03:27 - mmengine - INFO - Saving checkpoint at 235000 iterations +2023/10/22 21:19:00 - mmengine - INFO - Iter(train) [235500/320000] base_lr: 3.4157e-05 lr: 1.4668e-05 eta: 1 day, 22:37:04 time: 2.0250 data_time: 0.1462 memory: 22137 grad_norm: 0.8325 loss: 1.0943 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3919 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7759 detection_loss_cls: 0.0562 detection_loss_reg: 0.4511 grounding_loss_reg: 3.4736 +2023/10/22 21:19:00 - mmengine - INFO - Saving checkpoint at 235500 iterations +2023/10/22 21:34:07 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 21:34:07 - mmengine - INFO - Iter(train) [236000/320000] base_lr: 3.3799e-05 lr: 1.4527e-05 eta: 1 day, 22:16:53 time: 1.9697 data_time: 0.1433 memory: 22137 grad_norm: 0.8354 loss: 1.0944 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3915 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7767 detection_loss_cls: 0.0559 detection_loss_reg: 0.4498 grounding_loss_reg: 3.4720 +2023/10/22 21:34:07 - mmengine - INFO - Saving checkpoint at 236000 iterations +2023/10/22 21:51:08 - mmengine - INFO - Iter(train) [236500/320000] base_lr: 3.3443e-05 lr: 1.4387e-05 eta: 1 day, 22:01:32 time: 1.9500 data_time: 0.1440 memory: 22137 grad_norm: 0.8377 loss: 1.0999 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3863 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7742 detection_loss_cls: 0.0558 detection_loss_reg: 0.4502 grounding_loss_reg: 3.4696 +2023/10/22 21:51:08 - mmengine - INFO - Saving checkpoint at 236500 iterations +2023/10/22 22:07:56 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 22:07:56 - mmengine - INFO - Iter(train) [237000/320000] base_lr: 3.3089e-05 lr: 1.4247e-05 eta: 1 day, 21:45:39 time: 1.9419 data_time: 0.1443 memory: 22137 grad_norm: 0.8774 loss: 1.1267 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3905 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7741 detection_loss_cls: 0.0554 detection_loss_reg: 0.4486 grounding_loss_reg: 3.4668 +2023/10/22 22:07:56 - mmengine - INFO - Saving checkpoint at 237000 iterations +2023/10/22 22:24:51 - mmengine - INFO - Iter(train) [237500/320000] base_lr: 3.2736e-05 lr: 1.4108e-05 eta: 1 day, 21:29:59 time: 1.9538 data_time: 0.1469 memory: 22137 grad_norm: 0.8884 loss: 1.1406 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3980 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7738 detection_loss_cls: 0.0551 detection_loss_reg: 0.4474 grounding_loss_reg: 3.4636 +2023/10/22 22:24:51 - mmengine - INFO - Saving checkpoint at 237500 iterations +2023/10/22 22:42:16 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 22:42:16 - mmengine - INFO - Iter(train) [238000/320000] base_lr: 3.2385e-05 lr: 1.3970e-05 eta: 1 day, 21:15:28 time: 1.9712 data_time: 0.1471 memory: 22137 grad_norm: 0.8966 loss: 1.1470 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.3986 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7759 detection_loss_cls: 0.0552 detection_loss_reg: 0.4478 grounding_loss_reg: 3.4612 +2023/10/22 22:42:16 - mmengine - INFO - Saving checkpoint at 238000 iterations +2023/10/22 22:58:15 - mmengine - INFO - Iter(train) [238500/320000] base_lr: 3.2036e-05 lr: 1.3832e-05 eta: 1 day, 20:57:36 time: 1.9695 data_time: 0.1450 memory: 22137 grad_norm: 0.8918 loss: 1.1351 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3963 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7758 detection_loss_cls: 0.0552 detection_loss_reg: 0.4473 grounding_loss_reg: 3.4582 +2023/10/22 22:58:15 - mmengine - INFO - Saving checkpoint at 238500 iterations +2023/10/22 23:14:42 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 23:14:42 - mmengine - INFO - Iter(train) [239000/320000] base_lr: 3.1688e-05 lr: 1.3695e-05 eta: 1 day, 20:40:48 time: 1.9683 data_time: 0.1443 memory: 22137 grad_norm: 0.9158 loss: 1.1477 semantic_segmentation_loss_cls: 0.0129 caption_loss_cls: 2.3981 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7747 detection_loss_cls: 0.0551 detection_loss_reg: 0.4459 grounding_loss_reg: 3.4547 +2023/10/22 23:14:42 - mmengine - INFO - Saving checkpoint at 239000 iterations +2023/10/22 23:31:48 - mmengine - INFO - Iter(train) [239500/320000] base_lr: 3.1342e-05 lr: 1.3559e-05 eta: 1 day, 20:25:29 time: 1.9917 data_time: 0.1449 memory: 22137 grad_norm: 0.9052 loss: 1.1402 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.3956 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7762 detection_loss_cls: 0.0546 detection_loss_reg: 0.4440 grounding_loss_reg: 3.4533 +2023/10/22 23:31:49 - mmengine - INFO - Saving checkpoint at 239500 iterations +2023/10/22 23:48:57 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/22 23:48:57 - mmengine - INFO - Iter(train) [240000/320000] base_lr: 3.0997e-05 lr: 1.3423e-05 eta: 1 day, 20:10:12 time: 2.0221 data_time: 0.1483 memory: 22137 grad_norm: 0.9062 loss: 1.1388 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.3950 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7768 detection_loss_cls: 0.0544 detection_loss_reg: 0.4423 grounding_loss_reg: 3.4522 +2023/10/22 23:48:57 - mmengine - INFO - Saving checkpoint at 240000 iterations +2023/10/22 23:53:33 - mmengine - INFO - Evaluating bbox... +2023/10/22 23:54:36 - mmengine - INFO - bbox_mAP_copypaste: 0.414 0.586 0.444 0.260 0.456 0.552 +2023/10/22 23:54:36 - mmengine - INFO - Evaluating segm... +2023/10/22 23:55:50 - mmengine - INFO - segm_mAP_copypaste: 0.275 0.501 0.265 0.141 0.315 0.433 +2023/10/22 23:57:06 - mmengine - INFO - Evaluating bbox... +2023/10/22 23:58:10 - mmengine - INFO - bbox_mAP_copypaste: 0.416 0.589 0.446 0.262 0.458 0.554 +2023/10/23 00:01:10 - mmengine - INFO - per class results: +2023/10/23 00:01:10 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 72.49 | 85.52 | +| building | 79.58 | 91.55 | +| sky | 92.79 | 97.07 | +| floor | 78.15 | 88.75 | +| tree | 71.26 | 86.28 | +| ceiling | 78.36 | 93.95 | +| road | 82.4 | 88.47 | +| bed | 84.73 | 93.82 | +| windowpane | 57.33 | 77.6 | +| grass | 67.77 | 77.36 | +| cabinet | 54.98 | 68.14 | +| sidewalk | 60.72 | 77.13 | +| person | 77.34 | 89.67 | +| earth | 41.7 | 62.0 | +| door | 39.43 | 52.27 | +| table | 52.91 | 70.74 | +| mountain | 58.3 | 75.77 | +| plant | 49.83 | 62.08 | +| curtain | 69.82 | 80.87 | +| chair | 50.46 | 67.66 | +| car | 78.77 | 88.7 | +| water | 53.49 | 74.19 | +| painting | 68.32 | 83.04 | +| sofa | 62.56 | 79.24 | +| shelf | 37.14 | 64.97 | +| house | 23.87 | 26.37 | +| sea | 57.35 | 77.35 | +| mirror | 53.98 | 60.07 | +| rug | 54.14 | 62.03 | +| field | 35.24 | 47.94 | +| armchair | 39.57 | 55.58 | +| seat | 58.44 | 75.21 | +| fence | 36.6 | 55.24 | +| desk | 40.79 | 55.81 | +| rock | 40.77 | 54.9 | +| wardrobe | 44.75 | 58.15 | +| lamp | 54.63 | 69.9 | +| bathtub | 72.79 | 79.72 | +| railing | 22.95 | 29.64 | +| cushion | 47.3 | 62.67 | +| base | 13.92 | 16.58 | +| box | 22.27 | 39.02 | +| column | 37.64 | 48.35 | +| signboard | 34.58 | 48.55 | +| chest of drawers | 42.07 | 58.55 | +| counter | 32.35 | 44.46 | +| sand | 36.05 | 57.17 | +| sink | 59.06 | 71.88 | +| skyscraper | 53.58 | 74.02 | +| fireplace | 55.29 | 67.53 | +| refrigerator | 67.51 | 73.76 | +| grandstand | 39.14 | 59.17 | +| path | 24.18 | 32.79 | +| stairs | 28.27 | 35.64 | +| runway | 72.25 | 94.16 | +| case | 45.29 | 52.75 | +| pool table | 89.22 | 93.75 | +| pillow | 41.44 | 49.77 | +| screen door | 62.92 | 72.62 | +| stairway | 27.17 | 35.76 | +| river | 27.24 | 35.63 | +| bridge | 58.64 | 77.59 | +| bookcase | 29.63 | 63.28 | +| blind | 26.73 | 31.12 | +| coffee table | 57.48 | 68.26 | +| toilet | 78.18 | 86.68 | +| flower | 34.58 | 53.81 | +| book | 42.62 | 62.7 | +| hill | 10.81 | 15.98 | +| bench | 38.34 | 50.62 | +| countertop | 49.58 | 60.98 | +| stove | 59.21 | 66.92 | +| palm | 40.05 | 50.06 | +| kitchen island | 23.24 | 33.93 | +| computer | 55.72 | 67.39 | +| swivel chair | 41.38 | 58.37 | +| boat | 64.12 | 86.08 | +| bar | 53.63 | 63.79 | +| arcade machine | 36.28 | 37.83 | +| hovel | 15.34 | 16.44 | +| bus | 85.76 | 94.9 | +| towel | 52.0 | 66.39 | +| light | 36.94 | 42.51 | +| truck | 41.28 | 60.32 | +| tower | 31.72 | 47.22 | +| chandelier | 59.18 | 72.86 | +| awning | 22.55 | 26.25 | +| streetlight | 21.59 | 28.26 | +| booth | 40.97 | 43.22 | +| television receiver | 60.71 | 74.4 | +| airplane | 53.59 | 60.37 | +| dirt track | 0.0 | 0.0 | +| apparel | 22.5 | 34.88 | +| pole | 21.19 | 31.99 | +| land | 3.72 | 4.97 | +| bannister | 3.63 | 4.78 | +| escalator | 31.04 | 33.41 | +| ottoman | 38.53 | 63.32 | +| bottle | 17.59 | 20.88 | +| buffet | 36.27 | 38.51 | +| poster | 15.09 | 16.6 | +| stage | 9.14 | 14.84 | +| van | 28.17 | 32.33 | +| ship | 47.22 | 52.78 | +| fountain | 11.44 | 11.72 | +| conveyer belt | 63.53 | 83.05 | +| canopy | 18.98 | 23.69 | +| washer | 62.85 | 68.8 | +| plaything | 20.56 | 27.04 | +| swimming pool | 28.82 | 47.72 | +| stool | 32.62 | 40.3 | +| barrel | 71.55 | 82.02 | +| basket | 28.26 | 38.72 | +| waterfall | 56.3 | 64.25 | +| tent | 86.72 | 95.61 | +| bag | 13.53 | 15.0 | +| minibike | 70.58 | 81.26 | +| cradle | 67.55 | 95.49 | +| oven | 23.22 | 26.63 | +| ball | 39.85 | 47.95 | +| food | 51.29 | 62.25 | +| step | 3.05 | 3.72 | +| tank | 19.26 | 21.78 | +| trade name | 18.2 | 19.3 | +| microwave | 80.22 | 89.8 | +| pot | 41.74 | 49.5 | +| animal | 54.47 | 58.68 | +| bicycle | 55.79 | 81.37 | +| lake | 0.0 | 0.0 | +| dishwasher | 43.57 | 57.36 | +| screen | 61.19 | 84.59 | +| blanket | 0.66 | 0.71 | +| sculpture | 42.04 | 56.52 | +| hood | 33.96 | 36.5 | +| sconce | 24.75 | 29.53 | +| vase | 34.09 | 54.23 | +| traffic light | 24.15 | 33.19 | +| tray | 4.02 | 5.49 | +| ashcan | 33.19 | 47.45 | +| fan | 46.1 | 55.64 | +| pier | 46.81 | 53.48 | +| crt screen | 0.39 | 1.06 | +| plate | 44.71 | 59.26 | +| monitor | 4.68 | 5.19 | +| bulletin board | 25.47 | 26.31 | +| shower | 2.78 | 5.11 | +| radiator | 43.77 | 48.78 | +| glass | 15.1 | 17.23 | +| clock | 18.95 | 22.02 | +| flag | 43.88 | 50.34 | ++---------------------+-------+-------+ +2023/10/23 00:02:35 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4160 coco/bbox_mAP_50: 0.5890 coco/bbox_mAP_75: 0.4460 coco/bbox_mAP_s: 0.2620 coco/bbox_mAP_m: 0.4580 coco/bbox_mAP_l: 0.5540 coco/segm_mAP: 0.2750 coco/segm_mAP_50: 0.5010 coco/segm_mAP_75: 0.2650 coco/segm_mAP_s: 0.1410 coco/segm_mAP_m: 0.3150 coco/segm_mAP_l: 0.4330 Bleu_1: 0.7392 Bleu_2: 0.5668 Bleu_3: 0.4267 Bleu_4: 0.3194 METEOR: 0.2603 ROUGE_L: 0.5426 CIDEr: 1.0355 SPICE: 0.1908 aAcc: 80.3800 mIoU: 42.8400 mAcc: 53.4200 visual-grounding/miou: 0.6687 visual-grounding/acc: 0.7478 data_time: 0.4411 time: 0.9474 +2023/10/23 00:18:40 - mmengine - INFO - Iter(train) [240500/320000] base_lr: 3.0654e-05 lr: 1.3288e-05 eta: 1 day, 19:53:07 time: 2.0118 data_time: 0.1370 memory: 22137 grad_norm: 0.9072 loss: 1.1410 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.3946 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.7787 detection_loss_cls: 0.0544 detection_loss_reg: 0.4435 grounding_loss_reg: 3.4484 +2023/10/23 00:18:40 - mmengine - INFO - Saving checkpoint at 240500 iterations +2023/10/23 00:34:42 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/23 00:34:42 - mmengine - INFO - Iter(train) [241000/320000] base_lr: 3.0313e-05 lr: 1.3154e-05 eta: 1 day, 19:35:29 time: 2.0003 data_time: 0.1369 memory: 22137 grad_norm: 0.8892 loss: 1.1382 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3926 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7788 detection_loss_cls: 0.0542 detection_loss_reg: 0.4434 grounding_loss_reg: 3.4425 +2023/10/23 00:34:42 - mmengine - INFO - Saving checkpoint at 241000 iterations +2023/10/23 00:52:27 - mmengine - INFO - Iter(train) [241500/320000] base_lr: 2.9974e-05 lr: 1.3020e-05 eta: 1 day, 19:21:21 time: 2.0128 data_time: 0.1337 memory: 22137 grad_norm: 0.8745 loss: 1.1245 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3923 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7790 detection_loss_cls: 0.0542 detection_loss_reg: 0.4437 grounding_loss_reg: 3.4409 +2023/10/23 00:52:27 - mmengine - INFO - Saving checkpoint at 241500 iterations +2023/10/23 01:10:22 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/23 01:10:22 - mmengine - INFO - Iter(train) [242000/320000] base_lr: 2.9636e-05 lr: 1.2887e-05 eta: 1 day, 19:07:27 time: 2.0202 data_time: 0.1331 memory: 22137 grad_norm: 0.8683 loss: 1.1170 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3897 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7776 detection_loss_cls: 0.0547 detection_loss_reg: 0.4455 grounding_loss_reg: 3.4379 +2023/10/23 01:10:22 - mmengine - INFO - Saving checkpoint at 242000 iterations +2023/10/23 01:27:53 - mmengine - INFO - Iter(train) [242500/320000] base_lr: 2.9300e-05 lr: 1.2755e-05 eta: 1 day, 18:52:43 time: 2.0434 data_time: 0.1339 memory: 22137 grad_norm: 0.8741 loss: 1.1325 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3906 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.7774 detection_loss_cls: 0.0545 detection_loss_reg: 0.4458 grounding_loss_reg: 3.4348 +2023/10/23 01:27:53 - mmengine - INFO - Saving checkpoint at 242500 iterations +2023/10/23 01:45:17 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/23 01:45:17 - mmengine - INFO - Iter(train) [243000/320000] base_lr: 2.8966e-05 lr: 1.2623e-05 eta: 1 day, 18:37:38 time: 2.0576 data_time: 0.1343 memory: 22137 grad_norm: 0.8600 loss: 1.1391 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3904 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7788 detection_loss_cls: 0.0549 detection_loss_reg: 0.4462 grounding_loss_reg: 3.4333 +2023/10/23 01:45:17 - mmengine - INFO - Saving checkpoint at 243000 iterations +2023/10/23 02:01:06 - mmengine - INFO - Iter(train) [243500/320000] base_lr: 2.8633e-05 lr: 1.2492e-05 eta: 1 day, 18:19:32 time: 2.0382 data_time: 0.1329 memory: 22137 grad_norm: 0.8729 loss: 1.1449 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3809 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7788 detection_loss_cls: 0.0546 detection_loss_reg: 0.4439 grounding_loss_reg: 3.4301 +2023/10/23 02:01:06 - mmengine - INFO - Saving checkpoint at 243500 iterations +2023/10/23 02:17:51 - mmengine - INFO - Exp name: univision_joint_all_20231022_024418 +2023/10/23 02:17:51 - mmengine - INFO - Iter(train) [244000/320000] base_lr: 2.8303e-05 lr: 1.2362e-05 eta: 1 day, 18:03:11 time: 2.0321 data_time: 0.1309 memory: 22137 grad_norm: 0.8671 loss: 1.1396 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3805 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7794 detection_loss_cls: 0.0542 detection_loss_reg: 0.4435 grounding_loss_reg: 3.4295 +2023/10/23 02:17:51 - mmengine - INFO - Saving checkpoint at 244000 iterations +2023/10/23 02:34:47 - mmengine - INFO - Iter(train) [244500/320000] base_lr: 2.7974e-05 lr: 1.2232e-05 eta: 1 day, 17:47:12 time: 2.0413 data_time: 0.1419 memory: 22137 grad_norm: 0.8720 loss: 1.1474 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3839 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7783 detection_loss_cls: 0.0543 detection_loss_reg: 0.4442 grounding_loss_reg: 3.4287 +2023/10/23 02:34:47 - mmengine - INFO - Saving checkpoint at 244500 iterations +2023/10/23 05:07:57 - mmengine - INFO - Iter(train) [245000/320000] base_lr: 2.7646e-05 lr: 1.2103e-05 eta: 1 day, 3:57:01 time: 1.9685 data_time: 0.1276 memory: 22133 grad_norm: 0.8581 loss: 1.1383 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3862 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7775 detection_loss_cls: 0.0542 detection_loss_reg: 0.4436 grounding_loss_reg: 3.4271 +2023/10/23 05:07:57 - mmengine - INFO - Saving checkpoint at 245000 iterations +2023/10/23 05:20:45 - mmengine - INFO - Iter(train) [245500/320000] base_lr: 2.7321e-05 lr: 1.1975e-05 eta: 1 day, 5:46:07 time: 1.8943 data_time: 0.1281 memory: 22133 grad_norm: 0.8950 loss: 1.1521 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3787 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7798 detection_loss_cls: 0.0541 detection_loss_reg: 0.4430 grounding_loss_reg: 3.4236 +2023/10/23 05:20:45 - mmengine - INFO - Saving checkpoint at 245500 iterations +2023/10/23 05:36:25 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 05:36:25 - mmengine - INFO - Iter(train) [246000/320000] base_lr: 2.6997e-05 lr: 1.1847e-05 eta: 1 day, 8:35:51 time: 1.8607 data_time: 0.1300 memory: 22133 grad_norm: 0.8993 loss: 1.1553 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3791 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7794 detection_loss_cls: 0.0543 detection_loss_reg: 0.4434 grounding_loss_reg: 3.4213 +2023/10/23 05:36:25 - mmengine - INFO - Saving checkpoint at 246000 iterations +2023/10/23 05:51:00 - mmengine - INFO - Iter(train) [246500/320000] base_lr: 2.6675e-05 lr: 1.1721e-05 eta: 1 day, 9:12:47 time: 1.8165 data_time: 0.1290 memory: 22133 grad_norm: 0.8844 loss: 1.1380 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3824 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7781 detection_loss_cls: 0.0542 detection_loss_reg: 0.4432 grounding_loss_reg: 3.4186 +2023/10/23 05:51:00 - mmengine - INFO - Saving checkpoint at 246500 iterations +2023/10/23 06:05:16 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 06:05:16 - mmengine - INFO - Iter(train) [247000/320000] base_lr: 2.6355e-05 lr: 1.1595e-05 eta: 1 day, 9:19:48 time: 1.7696 data_time: 0.1275 memory: 22133 grad_norm: 0.8739 loss: 1.1186 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3753 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7773 detection_loss_cls: 0.0540 detection_loss_reg: 0.4415 grounding_loss_reg: 3.4174 +2023/10/23 06:05:16 - mmengine - INFO - Saving checkpoint at 247000 iterations +2023/10/23 06:21:19 - mmengine - INFO - Iter(train) [247500/320000] base_lr: 2.6037e-05 lr: 1.1469e-05 eta: 1 day, 10:02:55 time: 1.7731 data_time: 0.1270 memory: 22133 grad_norm: 0.8669 loss: 1.1150 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3760 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7747 detection_loss_cls: 0.0538 detection_loss_reg: 0.4418 grounding_loss_reg: 3.4158 +2023/10/23 06:21:19 - mmengine - INFO - Saving checkpoint at 247500 iterations +2023/10/23 06:38:10 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 06:38:10 - mmengine - INFO - Iter(train) [248000/320000] base_lr: 2.5720e-05 lr: 1.1344e-05 eta: 1 day, 10:45:35 time: 1.7747 data_time: 0.1256 memory: 22133 grad_norm: 0.8773 loss: 1.1190 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3710 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7765 detection_loss_cls: 0.0538 detection_loss_reg: 0.4417 grounding_loss_reg: 3.4124 +2023/10/23 06:38:10 - mmengine - INFO - Saving checkpoint at 248000 iterations +2023/10/23 06:54:56 - mmengine - INFO - Iter(train) [248500/320000] base_lr: 2.5406e-05 lr: 1.1220e-05 eta: 1 day, 11:11:42 time: 1.7721 data_time: 0.1258 memory: 22133 grad_norm: 0.8791 loss: 1.1075 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3657 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7756 detection_loss_cls: 0.0535 detection_loss_reg: 0.4405 grounding_loss_reg: 3.4075 +2023/10/23 06:54:56 - mmengine - INFO - Saving checkpoint at 248500 iterations +2023/10/23 07:11:19 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 07:11:19 - mmengine - INFO - Iter(train) [249000/320000] base_lr: 2.5093e-05 lr: 1.1097e-05 eta: 1 day, 11:22:24 time: 1.8501 data_time: 0.1393 memory: 22133 grad_norm: 0.8818 loss: 1.1028 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3666 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7760 detection_loss_cls: 0.0533 detection_loss_reg: 0.4399 grounding_loss_reg: 3.4084 +2023/10/23 07:11:19 - mmengine - INFO - Saving checkpoint at 249000 iterations +2023/10/23 07:27:55 - mmengine - INFO - Iter(train) [249500/320000] base_lr: 2.4782e-05 lr: 1.0975e-05 eta: 1 day, 11:30:38 time: 1.9070 data_time: 0.1386 memory: 22133 grad_norm: 0.8501 loss: 1.0859 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3677 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7755 detection_loss_cls: 0.0531 detection_loss_reg: 0.4387 grounding_loss_reg: 3.4077 +2023/10/23 07:27:55 - mmengine - INFO - Saving checkpoint at 249500 iterations +2023/10/23 07:44:24 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 07:44:24 - mmengine - INFO - Iter(train) [250000/320000] base_lr: 2.4473e-05 lr: 1.0853e-05 eta: 1 day, 11:32:58 time: 1.9192 data_time: 0.1362 memory: 22133 grad_norm: 0.8541 loss: 1.0877 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3692 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7763 detection_loss_cls: 0.0537 detection_loss_reg: 0.4415 grounding_loss_reg: 3.4060 +2023/10/23 07:44:24 - mmengine - INFO - Saving checkpoint at 250000 iterations +2023/10/23 08:02:21 - mmengine - INFO - Iter(train) [250500/320000] base_lr: 2.4165e-05 lr: 1.0732e-05 eta: 1 day, 11:49:08 time: 1.9697 data_time: 0.1366 memory: 21617 grad_norm: 0.8682 loss: 1.0948 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3662 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7737 detection_loss_cls: 0.0535 detection_loss_reg: 0.4399 grounding_loss_reg: 3.4041 +2023/10/23 08:02:21 - mmengine - INFO - Saving checkpoint at 250500 iterations +2023/10/23 08:20:28 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 08:20:28 - mmengine - INFO - Iter(train) [251000/320000] base_lr: 2.3860e-05 lr: 1.0611e-05 eta: 1 day, 12:01:51 time: 2.0275 data_time: 0.1381 memory: 22133 grad_norm: 0.8717 loss: 1.1010 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3612 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7740 detection_loss_cls: 0.0533 detection_loss_reg: 0.4394 grounding_loss_reg: 3.4033 +2023/10/23 08:20:28 - mmengine - INFO - Saving checkpoint at 251000 iterations +2023/10/23 08:36:00 - mmengine - INFO - Iter(train) [251500/320000] base_lr: 2.3556e-05 lr: 1.0492e-05 eta: 1 day, 11:44:55 time: 2.0198 data_time: 0.1386 memory: 22133 grad_norm: 0.8822 loss: 1.1114 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3614 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.7756 detection_loss_cls: 0.0530 detection_loss_reg: 0.4392 grounding_loss_reg: 3.4021 +2023/10/23 08:36:00 - mmengine - INFO - Saving checkpoint at 251500 iterations +2023/10/23 08:52:21 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 08:52:21 - mmengine - INFO - Iter(train) [252000/320000] base_lr: 2.3254e-05 lr: 1.0373e-05 eta: 1 day, 11:35:29 time: 2.0122 data_time: 0.1384 memory: 22133 grad_norm: 0.8934 loss: 1.1219 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3649 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7752 detection_loss_cls: 0.0531 detection_loss_reg: 0.4397 grounding_loss_reg: 3.3981 +2023/10/23 08:52:21 - mmengine - INFO - Saving checkpoint at 252000 iterations +2023/10/23 09:09:43 - mmengine - INFO - Iter(train) [252500/320000] base_lr: 2.2954e-05 lr: 1.0255e-05 eta: 1 day, 11:33:49 time: 2.0214 data_time: 0.1373 memory: 22133 grad_norm: 0.9000 loss: 1.1295 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3650 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7757 detection_loss_cls: 0.0534 detection_loss_reg: 0.4411 grounding_loss_reg: 3.3976 +2023/10/23 09:09:43 - mmengine - INFO - Saving checkpoint at 252500 iterations +2023/10/23 09:28:18 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 09:28:18 - mmengine - INFO - Iter(train) [253000/320000] base_lr: 2.2656e-05 lr: 1.0137e-05 eta: 1 day, 11:39:47 time: 2.0542 data_time: 0.1380 memory: 22133 grad_norm: 0.8941 loss: 1.1258 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3628 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7750 detection_loss_cls: 0.0537 detection_loss_reg: 0.4412 grounding_loss_reg: 3.3961 +2023/10/23 09:28:18 - mmengine - INFO - Saving checkpoint at 253000 iterations +2023/10/23 09:45:29 - mmengine - INFO - Iter(train) [253500/320000] base_lr: 2.2360e-05 lr: 1.0021e-05 eta: 1 day, 11:32:46 time: 2.0631 data_time: 0.1385 memory: 22133 grad_norm: 0.8963 loss: 1.1272 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3515 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7758 detection_loss_cls: 0.0536 detection_loss_reg: 0.4404 grounding_loss_reg: 3.3927 +2023/10/23 09:45:29 - mmengine - INFO - Saving checkpoint at 253500 iterations +2023/10/23 10:02:27 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 10:02:27 - mmengine - INFO - Iter(train) [254000/320000] base_lr: 2.2066e-05 lr: 9.9047e-06 eta: 1 day, 11:23:16 time: 2.0705 data_time: 0.1385 memory: 22133 grad_norm: 0.8972 loss: 1.1313 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3517 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7762 detection_loss_cls: 0.0534 detection_loss_reg: 0.4394 grounding_loss_reg: 3.3909 +2023/10/23 10:02:27 - mmengine - INFO - Saving checkpoint at 254000 iterations +2023/10/23 10:19:40 - mmengine - INFO - Iter(train) [254500/320000] base_lr: 2.1773e-05 lr: 9.7896e-06 eta: 1 day, 11:14:34 time: 2.0595 data_time: 0.1385 memory: 22133 grad_norm: 0.9005 loss: 1.1299 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3505 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7743 detection_loss_cls: 0.0535 detection_loss_reg: 0.4399 grounding_loss_reg: 3.3886 +2023/10/23 10:19:41 - mmengine - INFO - Saving checkpoint at 254500 iterations +2023/10/23 10:37:01 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 10:37:01 - mmengine - INFO - Iter(train) [255000/320000] base_lr: 2.1483e-05 lr: 9.6751e-06 eta: 1 day, 11:05:53 time: 2.0479 data_time: 0.1375 memory: 22133 grad_norm: 0.9096 loss: 1.1340 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3439 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7768 detection_loss_cls: 0.0533 detection_loss_reg: 0.4382 grounding_loss_reg: 3.3871 +2023/10/23 10:37:02 - mmengine - INFO - Saving checkpoint at 255000 iterations +2023/10/23 10:54:05 - mmengine - INFO - Iter(train) [255500/320000] base_lr: 2.1194e-05 lr: 9.5615e-06 eta: 1 day, 10:54:44 time: 2.0708 data_time: 0.1376 memory: 22133 grad_norm: 0.9045 loss: 1.1204 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3355 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7755 detection_loss_cls: 0.0529 detection_loss_reg: 0.4369 grounding_loss_reg: 3.3846 +2023/10/23 10:54:05 - mmengine - INFO - Saving checkpoint at 255500 iterations +2023/10/23 11:10:44 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 11:10:44 - mmengine - INFO - Iter(train) [256000/320000] base_lr: 2.0908e-05 lr: 9.4486e-06 eta: 1 day, 10:40:43 time: 2.0752 data_time: 0.1370 memory: 22133 grad_norm: 0.8909 loss: 1.1107 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3333 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7757 detection_loss_cls: 0.0529 detection_loss_reg: 0.4372 grounding_loss_reg: 3.3823 +2023/10/23 11:10:44 - mmengine - INFO - Saving checkpoint at 256000 iterations +2023/10/23 11:27:37 - mmengine - INFO - Iter(train) [256500/320000] base_lr: 2.0623e-05 lr: 9.3364e-06 eta: 1 day, 10:27:49 time: 2.0681 data_time: 0.1368 memory: 22133 grad_norm: 0.8951 loss: 1.1130 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3258 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7749 detection_loss_cls: 0.0529 detection_loss_reg: 0.4376 grounding_loss_reg: 3.3827 +2023/10/23 11:27:38 - mmengine - INFO - Saving checkpoint at 256500 iterations +2023/10/23 11:45:14 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 11:45:14 - mmengine - INFO - Iter(train) [257000/320000] base_lr: 2.0340e-05 lr: 9.2250e-06 eta: 1 day, 10:18:13 time: 2.0537 data_time: 0.1364 memory: 22133 grad_norm: 0.8974 loss: 1.1153 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3240 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7764 detection_loss_cls: 0.0528 detection_loss_reg: 0.4386 grounding_loss_reg: 3.3821 +2023/10/23 11:45:14 - mmengine - INFO - Saving checkpoint at 257000 iterations +2023/10/23 12:02:46 - mmengine - INFO - Iter(train) [257500/320000] base_lr: 2.0060e-05 lr: 9.1144e-06 eta: 1 day, 10:07:38 time: 2.0589 data_time: 0.1366 memory: 22133 grad_norm: 0.8911 loss: 1.1152 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3236 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.7767 detection_loss_cls: 0.0529 detection_loss_reg: 0.4399 grounding_loss_reg: 3.3787 +2023/10/23 12:02:46 - mmengine - INFO - Saving checkpoint at 257500 iterations +2023/10/23 12:19:13 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 12:19:13 - mmengine - INFO - Iter(train) [258000/320000] base_lr: 1.9781e-05 lr: 9.0046e-06 eta: 1 day, 9:51:34 time: 2.0510 data_time: 0.1367 memory: 22133 grad_norm: 0.9048 loss: 1.1122 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3200 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7722 detection_loss_cls: 0.0527 detection_loss_reg: 0.4379 grounding_loss_reg: 3.3801 +2023/10/23 12:19:14 - mmengine - INFO - Saving checkpoint at 258000 iterations +2023/10/23 12:35:45 - mmengine - INFO - Iter(train) [258500/320000] base_lr: 1.9504e-05 lr: 8.8955e-06 eta: 1 day, 9:35:47 time: 2.0406 data_time: 0.1359 memory: 22133 grad_norm: 0.9144 loss: 1.1168 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3158 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7715 detection_loss_cls: 0.0528 detection_loss_reg: 0.4371 grounding_loss_reg: 3.3763 +2023/10/23 12:35:45 - mmengine - INFO - Saving checkpoint at 258500 iterations +2023/10/23 12:52:45 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 12:52:45 - mmengine - INFO - Iter(train) [259000/320000] base_lr: 1.9229e-05 lr: 8.7872e-06 eta: 1 day, 9:21:58 time: 2.0355 data_time: 0.1354 memory: 22133 grad_norm: 0.9066 loss: 1.1045 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3162 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7718 detection_loss_cls: 0.0526 detection_loss_reg: 0.4360 grounding_loss_reg: 3.3732 +2023/10/23 12:52:45 - mmengine - INFO - Saving checkpoint at 259000 iterations +2023/10/23 13:11:09 - mmengine - INFO - Iter(train) [259500/320000] base_lr: 1.8956e-05 lr: 8.6796e-06 eta: 1 day, 9:13:32 time: 2.0554 data_time: 0.1355 memory: 22133 grad_norm: 0.8975 loss: 1.0969 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3153 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7715 detection_loss_cls: 0.0523 detection_loss_reg: 0.4350 grounding_loss_reg: 3.3700 +2023/10/23 13:11:09 - mmengine - INFO - Saving checkpoint at 259500 iterations +2023/10/23 13:28:49 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 13:28:49 - mmengine - INFO - Iter(train) [260000/320000] base_lr: 1.8685e-05 lr: 8.5729e-06 eta: 1 day, 9:01:39 time: 2.0707 data_time: 0.1365 memory: 22133 grad_norm: 0.9032 loss: 1.0925 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3119 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7705 detection_loss_cls: 0.0521 detection_loss_reg: 0.4341 grounding_loss_reg: 3.3681 +2023/10/23 13:28:49 - mmengine - INFO - Saving checkpoint at 260000 iterations +2023/10/23 13:33:24 - mmengine - INFO - Evaluating bbox... +2023/10/23 13:34:27 - mmengine - INFO - bbox_mAP_copypaste: 0.427 0.599 0.460 0.268 0.469 0.571 +2023/10/23 13:34:27 - mmengine - INFO - Evaluating segm... +2023/10/23 13:35:45 - mmengine - INFO - segm_mAP_copypaste: 0.283 0.511 0.275 0.142 0.322 0.447 +2023/10/23 13:37:00 - mmengine - INFO - Evaluating bbox... +2023/10/23 13:38:06 - mmengine - INFO - bbox_mAP_copypaste: 0.428 0.600 0.461 0.268 0.470 0.570 +2023/10/23 13:40:27 - mmengine - INFO - per class results: +2023/10/23 13:40:27 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 72.88 | 86.93 | +| building | 80.05 | 91.23 | +| sky | 92.67 | 97.22 | +| floor | 77.84 | 88.38 | +| tree | 71.5 | 86.86 | +| ceiling | 79.73 | 91.85 | +| road | 81.43 | 89.08 | +| bed | 85.01 | 94.11 | +| windowpane | 57.64 | 72.27 | +| grass | 71.44 | 87.24 | +| cabinet | 57.2 | 70.21 | +| sidewalk | 60.74 | 73.94 | +| person | 77.31 | 90.69 | +| earth | 39.6 | 51.44 | +| door | 39.69 | 55.58 | +| table | 54.46 | 70.8 | +| mountain | 55.43 | 77.1 | +| plant | 48.39 | 58.8 | +| curtain | 68.92 | 83.65 | +| chair | 49.42 | 66.57 | +| car | 78.86 | 89.12 | +| water | 53.98 | 74.28 | +| painting | 64.4 | 85.14 | +| sofa | 60.83 | 76.32 | +| shelf | 37.99 | 51.63 | +| house | 38.77 | 54.27 | +| sea | 56.14 | 75.49 | +| mirror | 59.34 | 68.43 | +| rug | 54.65 | 60.52 | +| field | 40.18 | 52.29 | +| armchair | 37.85 | 57.1 | +| seat | 59.56 | 74.62 | +| fence | 35.54 | 45.1 | +| desk | 39.93 | 55.45 | +| rock | 41.95 | 53.96 | +| wardrobe | 45.74 | 59.29 | +| lamp | 53.42 | 70.23 | +| bathtub | 71.55 | 76.59 | +| railing | 25.89 | 35.03 | +| cushion | 48.96 | 61.88 | +| base | 23.62 | 32.35 | +| box | 23.24 | 33.0 | +| column | 38.5 | 47.95 | +| signboard | 33.83 | 43.1 | +| chest of drawers | 42.51 | 51.44 | +| counter | 28.08 | 37.03 | +| sand | 36.26 | 58.79 | +| sink | 59.82 | 72.48 | +| skyscraper | 59.14 | 68.61 | +| fireplace | 58.9 | 79.87 | +| refrigerator | 70.56 | 82.39 | +| grandstand | 37.73 | 63.99 | +| path | 21.54 | 28.71 | +| stairs | 30.28 | 38.59 | +| runway | 72.4 | 93.79 | +| case | 48.4 | 53.55 | +| pool table | 89.83 | 95.57 | +| pillow | 41.07 | 47.94 | +| screen door | 36.59 | 38.21 | +| stairway | 30.93 | 46.29 | +| river | 13.49 | 14.86 | +| bridge | 58.72 | 74.74 | +| bookcase | 31.31 | 48.81 | +| blind | 29.88 | 33.47 | +| coffee table | 51.56 | 81.32 | +| toilet | 78.33 | 87.54 | +| flower | 29.02 | 48.2 | +| book | 41.89 | 65.88 | +| hill | 11.31 | 18.9 | +| bench | 38.89 | 46.21 | +| countertop | 51.35 | 64.95 | +| stove | 62.35 | 73.28 | +| palm | 44.92 | 60.89 | +| kitchen island | 32.79 | 60.38 | +| computer | 61.05 | 75.09 | +| swivel chair | 39.03 | 61.38 | +| boat | 71.07 | 87.47 | +| bar | 44.26 | 57.25 | +| arcade machine | 31.44 | 33.67 | +| hovel | 23.77 | 26.45 | +| bus | 90.01 | 94.38 | +| towel | 53.05 | 68.5 | +| light | 39.16 | 46.93 | +| truck | 41.16 | 66.2 | +| tower | 27.77 | 41.59 | +| chandelier | 58.08 | 73.3 | +| awning | 22.47 | 23.97 | +| streetlight | 21.5 | 28.38 | +| booth | 42.68 | 50.65 | +| television receiver | 63.27 | 82.15 | +| airplane | 53.09 | 62.98 | +| dirt track | 12.28 | 14.26 | +| apparel | 25.73 | 36.6 | +| pole | 20.69 | 30.1 | +| land | 2.63 | 3.49 | +| bannister | 2.1 | 2.31 | +| escalator | 34.58 | 40.92 | +| ottoman | 40.42 | 53.21 | +| bottle | 20.63 | 26.76 | +| buffet | 46.92 | 57.08 | +| poster | 13.57 | 15.44 | +| stage | 8.39 | 12.29 | +| van | 23.1 | 26.82 | +| ship | 14.06 | 17.16 | +| fountain | 21.08 | 21.67 | +| conveyer belt | 45.93 | 91.27 | +| canopy | 15.63 | 23.22 | +| washer | 64.67 | 72.51 | +| plaything | 22.05 | 30.8 | +| swimming pool | 38.46 | 63.61 | +| stool | 33.61 | 42.27 | +| barrel | 40.15 | 69.78 | +| basket | 26.65 | 33.32 | +| waterfall | 71.27 | 80.37 | +| tent | 76.39 | 96.44 | +| bag | 12.22 | 13.17 | +| minibike | 68.97 | 81.73 | +| cradle | 61.72 | 80.4 | +| oven | 21.76 | 27.25 | +| ball | 19.71 | 22.89 | +| food | 55.25 | 69.52 | +| step | 2.87 | 3.01 | +| tank | 27.78 | 33.65 | +| trade name | 21.82 | 23.98 | +| microwave | 81.88 | 90.8 | +| pot | 45.98 | 53.9 | +| animal | 52.49 | 55.66 | +| bicycle | 56.88 | 77.37 | +| lake | 19.71 | 22.08 | +| dishwasher | 47.92 | 62.8 | +| screen | 57.39 | 78.4 | +| blanket | 2.08 | 2.2 | +| sculpture | 44.33 | 59.59 | +| hood | 44.54 | 50.77 | +| sconce | 23.59 | 27.61 | +| vase | 36.15 | 53.85 | +| traffic light | 27.89 | 37.54 | +| tray | 3.19 | 4.22 | +| ashcan | 30.58 | 43.65 | +| fan | 41.42 | 49.25 | +| pier | 45.74 | 53.03 | +| crt screen | 4.31 | 11.3 | +| plate | 48.61 | 63.18 | +| monitor | 1.89 | 2.51 | +| bulletin board | 30.19 | 34.56 | +| shower | 0.85 | 1.12 | +| radiator | 48.43 | 55.93 | +| glass | 12.97 | 14.2 | +| clock | 18.9 | 22.45 | +| flag | 48.9 | 57.1 | ++---------------------+-------+-------+ +2023/10/23 13:40:37 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4280 coco/bbox_mAP_50: 0.6000 coco/bbox_mAP_75: 0.4610 coco/bbox_mAP_s: 0.2680 coco/bbox_mAP_m: 0.4700 coco/bbox_mAP_l: 0.5700 coco/segm_mAP: 0.2830 coco/segm_mAP_50: 0.5110 coco/segm_mAP_75: 0.2750 coco/segm_mAP_s: 0.1420 coco/segm_mAP_m: 0.3220 coco/segm_mAP_l: 0.4470 Bleu_1: 0.7406 Bleu_2: 0.5690 Bleu_3: 0.4271 Bleu_4: 0.3184 METEOR: 0.2634 ROUGE_L: 0.5454 CIDEr: 1.0348 SPICE: 0.1930 aAcc: 80.6900 mIoU: 43.0600 mAcc: 54.2400 visual-grounding/miou: 0.6772 visual-grounding/acc: 0.7502 data_time: 0.0473 time: 0.5545 +2023/10/23 13:56:11 - mmengine - INFO - Iter(train) [260500/320000] base_lr: 1.8416e-05 lr: 8.4669e-06 eta: 1 day, 8:41:40 time: 2.0511 data_time: 0.1232 memory: 22133 grad_norm: 0.8970 loss: 1.0807 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3064 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7698 detection_loss_cls: 0.0523 detection_loss_reg: 0.4352 grounding_loss_reg: 3.3663 +2023/10/23 13:56:11 - mmengine - INFO - Saving checkpoint at 260500 iterations +2023/10/23 14:12:35 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 14:12:35 - mmengine - INFO - Iter(train) [261000/320000] base_lr: 1.8149e-05 lr: 8.3617e-06 eta: 1 day, 8:24:51 time: 2.0329 data_time: 0.1235 memory: 22133 grad_norm: 0.9066 loss: 1.0874 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3008 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7705 detection_loss_cls: 0.0524 detection_loss_reg: 0.4357 grounding_loss_reg: 3.3648 +2023/10/23 14:12:35 - mmengine - INFO - Saving checkpoint at 261000 iterations +2023/10/23 14:28:28 - mmengine - INFO - Iter(train) [261500/320000] base_lr: 1.7884e-05 lr: 8.2573e-06 eta: 1 day, 8:06:20 time: 2.0082 data_time: 0.1233 memory: 22133 grad_norm: 0.9224 loss: 1.0906 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3057 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7677 detection_loss_cls: 0.0521 detection_loss_reg: 0.4337 grounding_loss_reg: 3.3633 +2023/10/23 14:28:28 - mmengine - INFO - Saving checkpoint at 261500 iterations +2023/10/23 14:45:34 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 14:45:34 - mmengine - INFO - Iter(train) [262000/320000] base_lr: 1.7621e-05 lr: 8.1537e-06 eta: 1 day, 7:51:56 time: 2.0178 data_time: 0.1239 memory: 22133 grad_norm: 0.9051 loss: 1.0810 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3029 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7687 detection_loss_cls: 0.0523 detection_loss_reg: 0.4340 grounding_loss_reg: 3.3614 +2023/10/23 14:45:34 - mmengine - INFO - Saving checkpoint at 262000 iterations +2023/10/23 15:01:14 - mmengine - INFO - Iter(train) [262500/320000] base_lr: 1.7360e-05 lr: 8.0509e-06 eta: 1 day, 7:32:49 time: 2.0049 data_time: 0.1249 memory: 22133 grad_norm: 0.8892 loss: 1.0779 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3045 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7696 detection_loss_cls: 0.0523 detection_loss_reg: 0.4340 grounding_loss_reg: 3.3592 +2023/10/23 15:01:14 - mmengine - INFO - Saving checkpoint at 262500 iterations +2023/10/23 15:17:37 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 15:17:37 - mmengine - INFO - Iter(train) [263000/320000] base_lr: 1.7101e-05 lr: 7.9489e-06 eta: 1 day, 7:16:09 time: 1.9957 data_time: 0.1260 memory: 22133 grad_norm: 0.9077 loss: 1.0953 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3054 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7715 detection_loss_cls: 0.0525 detection_loss_reg: 0.4343 grounding_loss_reg: 3.3556 +2023/10/23 15:17:37 - mmengine - INFO - Saving checkpoint at 263000 iterations +2023/10/23 15:33:54 - mmengine - INFO - Iter(train) [263500/320000] base_lr: 1.6844e-05 lr: 7.8477e-06 eta: 1 day, 6:59:09 time: 1.9641 data_time: 0.1265 memory: 22133 grad_norm: 0.9160 loss: 1.0965 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3017 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7710 detection_loss_cls: 0.0520 detection_loss_reg: 0.4314 grounding_loss_reg: 3.3556 +2023/10/23 15:33:54 - mmengine - INFO - Saving checkpoint at 263500 iterations +2023/10/23 15:51:49 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 15:51:49 - mmengine - INFO - Iter(train) [264000/320000] base_lr: 1.6589e-05 lr: 7.7472e-06 eta: 1 day, 6:46:53 time: 1.9678 data_time: 0.1275 memory: 22133 grad_norm: 0.9013 loss: 1.0910 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3011 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7699 detection_loss_cls: 0.0524 detection_loss_reg: 0.4350 grounding_loss_reg: 3.3521 +2023/10/23 15:51:49 - mmengine - INFO - Saving checkpoint at 264000 iterations +2023/10/23 16:08:18 - mmengine - INFO - Iter(train) [264500/320000] base_lr: 1.6336e-05 lr: 7.6476e-06 eta: 1 day, 6:30:23 time: 1.9813 data_time: 0.1411 memory: 22133 grad_norm: 0.9098 loss: 1.0965 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3051 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7688 detection_loss_cls: 0.0526 detection_loss_reg: 0.4359 grounding_loss_reg: 3.3513 +2023/10/23 16:08:18 - mmengine - INFO - Saving checkpoint at 264500 iterations +2023/10/23 16:25:07 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 16:25:07 - mmengine - INFO - Iter(train) [265000/320000] base_lr: 1.6085e-05 lr: 7.5488e-06 eta: 1 day, 6:14:43 time: 1.9874 data_time: 0.1411 memory: 22133 grad_norm: 0.9068 loss: 1.0927 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3033 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7709 detection_loss_cls: 0.0526 detection_loss_reg: 0.4355 grounding_loss_reg: 3.3480 +2023/10/23 16:25:07 - mmengine - INFO - Saving checkpoint at 265000 iterations +2023/10/23 16:41:59 - mmengine - INFO - Iter(train) [265500/320000] base_lr: 1.5837e-05 lr: 7.4508e-06 eta: 1 day, 5:59:10 time: 2.0021 data_time: 0.1413 memory: 22133 grad_norm: 0.8906 loss: 1.0832 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3017 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7696 detection_loss_cls: 0.0523 detection_loss_reg: 0.4349 grounding_loss_reg: 3.3454 +2023/10/23 16:41:59 - mmengine - INFO - Saving checkpoint at 265500 iterations +2023/10/23 16:58:22 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 16:58:22 - mmengine - INFO - Iter(train) [266000/320000] base_lr: 1.5590e-05 lr: 7.3536e-06 eta: 1 day, 5:42:22 time: 1.9916 data_time: 0.1412 memory: 22133 grad_norm: 0.8956 loss: 1.0830 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3005 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7683 detection_loss_cls: 0.0521 detection_loss_reg: 0.4339 grounding_loss_reg: 3.3428 +2023/10/23 16:58:22 - mmengine - INFO - Saving checkpoint at 266000 iterations +2023/10/23 17:13:49 - mmengine - INFO - Iter(train) [266500/320000] base_lr: 1.5345e-05 lr: 7.2572e-06 eta: 1 day, 5:23:16 time: 1.9882 data_time: 0.1412 memory: 22133 grad_norm: 0.9100 loss: 1.0829 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.2974 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7689 detection_loss_cls: 0.0523 detection_loss_reg: 0.4361 grounding_loss_reg: 3.3405 +2023/10/23 17:13:49 - mmengine - INFO - Saving checkpoint at 266500 iterations +2023/10/23 17:29:54 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 17:29:54 - mmengine - INFO - Iter(train) [267000/320000] base_lr: 1.5102e-05 lr: 7.1616e-06 eta: 1 day, 5:05:51 time: 1.9836 data_time: 0.1412 memory: 22133 grad_norm: 0.9096 loss: 1.0775 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.2994 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7689 detection_loss_cls: 0.0525 detection_loss_reg: 0.4376 grounding_loss_reg: 3.3387 +2023/10/23 17:29:54 - mmengine - INFO - Saving checkpoint at 267000 iterations +2023/10/23 17:46:21 - mmengine - INFO - Iter(train) [267500/320000] base_lr: 1.4862e-05 lr: 7.0668e-06 eta: 1 day, 4:49:20 time: 1.9862 data_time: 0.1406 memory: 22133 grad_norm: 0.9287 loss: 1.0879 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3002 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7676 detection_loss_cls: 0.0524 detection_loss_reg: 0.4369 grounding_loss_reg: 3.3355 +2023/10/23 17:46:21 - mmengine - INFO - Saving checkpoint at 267500 iterations +2023/10/23 18:02:54 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 18:02:54 - mmengine - INFO - Iter(train) [268000/320000] base_lr: 1.4623e-05 lr: 6.9728e-06 eta: 1 day, 4:33:02 time: 1.9657 data_time: 0.1401 memory: 22133 grad_norm: 0.9400 loss: 1.1004 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.3006 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.7687 detection_loss_cls: 0.0523 detection_loss_reg: 0.4366 grounding_loss_reg: 3.3325 +2023/10/23 18:02:54 - mmengine - INFO - Saving checkpoint at 268000 iterations +2023/10/23 18:20:14 - mmengine - INFO - Iter(train) [268500/320000] base_lr: 1.4387e-05 lr: 6.8797e-06 eta: 1 day, 4:18:24 time: 1.9784 data_time: 0.1443 memory: 22133 grad_norm: 0.9316 loss: 1.0967 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2996 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7684 detection_loss_cls: 0.0524 detection_loss_reg: 0.4370 grounding_loss_reg: 3.3299 +2023/10/23 18:20:14 - mmengine - INFO - Saving checkpoint at 268500 iterations +2023/10/23 18:37:06 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 18:37:06 - mmengine - INFO - Iter(train) [269000/320000] base_lr: 1.4153e-05 lr: 6.7874e-06 eta: 1 day, 4:02:41 time: 1.9793 data_time: 0.1452 memory: 22133 grad_norm: 0.9402 loss: 1.0942 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2956 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7678 detection_loss_cls: 0.0521 detection_loss_reg: 0.4357 grounding_loss_reg: 3.3281 +2023/10/23 18:37:06 - mmengine - INFO - Saving checkpoint at 269000 iterations +2023/10/23 18:52:24 - mmengine - INFO - Iter(train) [269500/320000] base_lr: 1.3920e-05 lr: 6.6959e-06 eta: 1 day, 3:43:45 time: 1.9557 data_time: 0.1448 memory: 22133 grad_norm: 0.9552 loss: 1.0990 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2941 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7678 detection_loss_cls: 0.0520 detection_loss_reg: 0.4364 grounding_loss_reg: 3.3261 +2023/10/23 18:52:24 - mmengine - INFO - Saving checkpoint at 269500 iterations +2023/10/23 19:08:48 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 19:08:48 - mmengine - INFO - Iter(train) [270000/320000] base_lr: 1.3690e-05 lr: 6.6053e-06 eta: 1 day, 3:27:08 time: 1.9559 data_time: 0.1445 memory: 22133 grad_norm: 0.9467 loss: 1.0920 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2969 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7658 detection_loss_cls: 0.0519 detection_loss_reg: 0.4340 grounding_loss_reg: 3.3233 +2023/10/23 19:08:48 - mmengine - INFO - Saving checkpoint at 270000 iterations +2023/10/23 19:25:15 - mmengine - INFO - Iter(train) [270500/320000] base_lr: 1.3462e-05 lr: 6.5154e-06 eta: 1 day, 3:10:37 time: 1.9710 data_time: 0.1441 memory: 22133 grad_norm: 0.9437 loss: 1.0898 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2947 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7642 detection_loss_cls: 0.0516 detection_loss_reg: 0.4310 grounding_loss_reg: 3.3190 +2023/10/23 19:25:15 - mmengine - INFO - Saving checkpoint at 270500 iterations +2023/10/23 19:41:13 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 19:41:13 - mmengine - INFO - Iter(train) [271000/320000] base_lr: 1.3236e-05 lr: 6.4264e-06 eta: 1 day, 2:53:13 time: 1.9693 data_time: 0.1440 memory: 22133 grad_norm: 0.9381 loss: 1.0774 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2930 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7639 detection_loss_cls: 0.0516 detection_loss_reg: 0.4312 grounding_loss_reg: 3.3164 +2023/10/23 19:41:13 - mmengine - INFO - Saving checkpoint at 271000 iterations +2023/10/23 19:57:22 - mmengine - INFO - Iter(train) [271500/320000] base_lr: 1.3012e-05 lr: 6.3383e-06 eta: 1 day, 2:36:10 time: 1.9645 data_time: 0.1449 memory: 22133 grad_norm: 0.9386 loss: 1.0901 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2968 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7642 detection_loss_cls: 0.0514 detection_loss_reg: 0.4315 grounding_loss_reg: 3.3144 +2023/10/23 19:57:22 - mmengine - INFO - Saving checkpoint at 271500 iterations +2023/10/23 20:13:38 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 20:13:38 - mmengine - INFO - Iter(train) [272000/320000] base_lr: 1.2791e-05 lr: 6.2509e-06 eta: 1 day, 2:19:23 time: 1.9603 data_time: 0.1441 memory: 22133 grad_norm: 0.9421 loss: 1.0848 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2981 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7641 detection_loss_cls: 0.0515 detection_loss_reg: 0.4330 grounding_loss_reg: 3.3147 +2023/10/23 20:13:38 - mmengine - INFO - Saving checkpoint at 272000 iterations +2023/10/23 20:30:03 - mmengine - INFO - Iter(train) [272500/320000] base_lr: 1.2571e-05 lr: 6.1644e-06 eta: 1 day, 2:02:51 time: 1.9467 data_time: 0.1396 memory: 22133 grad_norm: 0.9407 loss: 1.0772 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2971 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7636 detection_loss_cls: 0.0516 detection_loss_reg: 0.4322 grounding_loss_reg: 3.3098 +2023/10/23 20:30:03 - mmengine - INFO - Saving checkpoint at 272500 iterations +2023/10/23 20:46:46 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 20:46:46 - mmengine - INFO - Iter(train) [273000/320000] base_lr: 1.2354e-05 lr: 6.0788e-06 eta: 1 day, 1:46:50 time: 1.9444 data_time: 0.1386 memory: 22133 grad_norm: 0.9339 loss: 1.0701 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2943 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7617 detection_loss_cls: 0.0517 detection_loss_reg: 0.4333 grounding_loss_reg: 3.3095 +2023/10/23 20:46:46 - mmengine - INFO - Saving checkpoint at 273000 iterations +2023/10/23 21:04:13 - mmengine - INFO - Iter(train) [273500/320000] base_lr: 1.2139e-05 lr: 5.9940e-06 eta: 1 day, 1:31:58 time: 1.9767 data_time: 0.1404 memory: 22133 grad_norm: 0.9266 loss: 1.0707 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2954 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7617 detection_loss_cls: 0.0520 detection_loss_reg: 0.4357 grounding_loss_reg: 3.3077 +2023/10/23 21:04:13 - mmengine - INFO - Saving checkpoint at 273500 iterations +2023/10/23 21:21:18 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 21:21:18 - mmengine - INFO - Iter(train) [274000/320000] base_lr: 1.1925e-05 lr: 5.9100e-06 eta: 1 day, 1:16:26 time: 1.9869 data_time: 0.1410 memory: 22133 grad_norm: 0.9248 loss: 1.0814 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2929 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7606 detection_loss_cls: 0.0523 detection_loss_reg: 0.4383 grounding_loss_reg: 3.3059 +2023/10/23 21:21:18 - mmengine - INFO - Saving checkpoint at 274000 iterations +2023/10/23 21:38:17 - mmengine - INFO - Iter(train) [274500/320000] base_lr: 1.1714e-05 lr: 5.8269e-06 eta: 1 day, 1:00:43 time: 1.9951 data_time: 0.1420 memory: 21617 grad_norm: 0.8993 loss: 1.0715 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2935 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7635 detection_loss_cls: 0.0520 detection_loss_reg: 0.4360 grounding_loss_reg: 3.3052 +2023/10/23 21:38:17 - mmengine - INFO - Saving checkpoint at 274500 iterations +2023/10/23 21:54:46 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 21:54:46 - mmengine - INFO - Iter(train) [275000/320000] base_lr: 1.1505e-05 lr: 5.7446e-06 eta: 1 day, 0:44:11 time: 2.0025 data_time: 0.1419 memory: 22133 grad_norm: 0.8963 loss: 1.0734 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2894 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7610 detection_loss_cls: 0.0521 detection_loss_reg: 0.4372 grounding_loss_reg: 3.3033 +2023/10/23 21:54:46 - mmengine - INFO - Saving checkpoint at 275000 iterations +2023/10/23 22:11:24 - mmengine - INFO - Iter(train) [275500/320000] base_lr: 1.1299e-05 lr: 5.6632e-06 eta: 1 day, 0:27:54 time: 2.0100 data_time: 0.1419 memory: 22133 grad_norm: 0.8768 loss: 1.0514 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2844 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7612 detection_loss_cls: 0.0518 detection_loss_reg: 0.4362 grounding_loss_reg: 3.3009 +2023/10/23 22:11:24 - mmengine - INFO - Saving checkpoint at 275500 iterations +2023/10/23 22:26:27 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 22:26:27 - mmengine - INFO - Iter(train) [276000/320000] base_lr: 1.1094e-05 lr: 5.5826e-06 eta: 1 day, 0:09:23 time: 1.9916 data_time: 0.1421 memory: 22133 grad_norm: 0.8776 loss: 1.0480 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.2841 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7593 detection_loss_cls: 0.0521 detection_loss_reg: 0.4382 grounding_loss_reg: 3.3005 +2023/10/23 22:26:27 - mmengine - INFO - Saving checkpoint at 276000 iterations +2023/10/23 22:43:30 - mmengine - INFO - Iter(train) [276500/320000] base_lr: 1.0892e-05 lr: 5.5029e-06 eta: 23:53:42 time: 2.0013 data_time: 0.1427 memory: 22133 grad_norm: 0.8732 loss: 1.0419 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2811 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7565 detection_loss_cls: 0.0520 detection_loss_reg: 0.4388 grounding_loss_reg: 3.2967 +2023/10/23 22:43:30 - mmengine - INFO - Saving checkpoint at 276500 iterations +2023/10/23 22:58:48 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 22:58:48 - mmengine - INFO - Iter(train) [277000/320000] base_lr: 1.0692e-05 lr: 5.4240e-06 eta: 23:35:40 time: 1.9800 data_time: 0.1426 memory: 22133 grad_norm: 0.8785 loss: 1.0594 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2843 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7566 detection_loss_cls: 0.0519 detection_loss_reg: 0.4372 grounding_loss_reg: 3.2939 +2023/10/23 22:58:48 - mmengine - INFO - Saving checkpoint at 277000 iterations +2023/10/23 23:14:23 - mmengine - INFO - Iter(train) [277500/320000] base_lr: 1.0494e-05 lr: 5.3460e-06 eta: 23:18:04 time: 1.9521 data_time: 0.1411 memory: 22133 grad_norm: 0.8790 loss: 1.0602 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2867 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7564 detection_loss_cls: 0.0516 detection_loss_reg: 0.4362 grounding_loss_reg: 3.2917 +2023/10/23 23:14:23 - mmengine - INFO - Saving checkpoint at 277500 iterations +2023/10/23 23:31:48 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/23 23:31:49 - mmengine - INFO - Iter(train) [278000/320000] base_lr: 1.0298e-05 lr: 5.2688e-06 eta: 23:02:50 time: 1.9572 data_time: 0.1413 memory: 22133 grad_norm: 0.8884 loss: 1.0625 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2867 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7562 detection_loss_cls: 0.0520 detection_loss_reg: 0.4391 grounding_loss_reg: 3.2892 +2023/10/23 23:31:49 - mmengine - INFO - Saving checkpoint at 278000 iterations +2023/10/23 23:47:47 - mmengine - INFO - Iter(train) [278500/320000] base_lr: 1.0104e-05 lr: 5.1925e-06 eta: 22:45:46 time: 1.9418 data_time: 0.1406 memory: 22133 grad_norm: 0.9175 loss: 1.0766 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2854 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7559 detection_loss_cls: 0.0519 detection_loss_reg: 0.4389 grounding_loss_reg: 3.2865 +2023/10/23 23:47:47 - mmengine - INFO - Saving checkpoint at 278500 iterations +2023/10/24 00:03:17 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 00:03:17 - mmengine - INFO - Iter(train) [279000/320000] base_lr: 9.9127e-06 lr: 5.1171e-06 eta: 22:28:10 time: 1.9273 data_time: 0.1402 memory: 22133 grad_norm: 0.9324 loss: 1.0909 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2814 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7554 detection_loss_cls: 0.0519 detection_loss_reg: 0.4397 grounding_loss_reg: 3.2818 +2023/10/24 00:03:17 - mmengine - INFO - Saving checkpoint at 279000 iterations +2023/10/24 00:20:05 - mmengine - INFO - Iter(train) [279500/320000] base_lr: 9.7234e-06 lr: 5.0425e-06 eta: 22:12:08 time: 1.9296 data_time: 0.1403 memory: 22133 grad_norm: 0.9341 loss: 1.1062 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2849 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7584 detection_loss_cls: 0.0519 detection_loss_reg: 0.4404 grounding_loss_reg: 3.2804 +2023/10/24 00:20:05 - mmengine - INFO - Saving checkpoint at 279500 iterations +2023/10/24 00:36:07 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 00:36:07 - mmengine - INFO - Iter(train) [280000/320000] base_lr: 9.5363e-06 lr: 4.9688e-06 eta: 21:55:14 time: 1.9446 data_time: 0.1402 memory: 22133 grad_norm: 0.9352 loss: 1.1010 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2862 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7576 detection_loss_cls: 0.0516 detection_loss_reg: 0.4391 grounding_loss_reg: 3.2765 +2023/10/24 00:36:07 - mmengine - INFO - Saving checkpoint at 280000 iterations +2023/10/24 00:40:55 - mmengine - INFO - Evaluating bbox... +2023/10/24 00:41:58 - mmengine - INFO - bbox_mAP_copypaste: 0.435 0.606 0.468 0.273 0.477 0.577 +2023/10/24 00:41:58 - mmengine - INFO - Evaluating segm... +2023/10/24 00:43:12 - mmengine - INFO - segm_mAP_copypaste: 0.290 0.520 0.282 0.146 0.328 0.458 +2023/10/24 00:44:26 - mmengine - INFO - Evaluating bbox... +2023/10/24 00:45:32 - mmengine - INFO - bbox_mAP_copypaste: 0.436 0.607 0.469 0.273 0.478 0.578 +2023/10/24 00:48:13 - mmengine - INFO - per class results: +2023/10/24 00:48:13 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.43 | 87.42 | +| building | 80.44 | 90.98 | +| sky | 92.85 | 97.26 | +| floor | 78.92 | 88.12 | +| tree | 71.66 | 85.9 | +| ceiling | 80.05 | 90.37 | +| road | 81.9 | 89.8 | +| bed | 85.69 | 93.69 | +| windowpane | 57.63 | 74.22 | +| grass | 71.55 | 87.43 | +| cabinet | 55.61 | 67.88 | +| sidewalk | 60.66 | 74.05 | +| person | 77.94 | 90.09 | +| earth | 41.95 | 56.63 | +| door | 42.01 | 59.5 | +| table | 54.91 | 71.36 | +| mountain | 53.45 | 66.72 | +| plant | 48.99 | 62.71 | +| curtain | 68.71 | 86.56 | +| chair | 50.22 | 65.12 | +| car | 79.21 | 89.67 | +| water | 54.41 | 72.73 | +| painting | 67.82 | 82.41 | +| sofa | 62.42 | 79.69 | +| shelf | 39.0 | 53.37 | +| house | 34.62 | 44.52 | +| sea | 57.13 | 79.33 | +| mirror | 59.05 | 69.29 | +| rug | 58.87 | 66.27 | +| field | 39.13 | 50.66 | +| armchair | 40.06 | 58.42 | +| seat | 61.67 | 75.8 | +| fence | 33.57 | 46.04 | +| desk | 42.01 | 58.84 | +| rock | 43.4 | 60.12 | +| wardrobe | 44.21 | 61.83 | +| lamp | 54.13 | 69.93 | +| bathtub | 77.53 | 83.2 | +| railing | 27.05 | 37.95 | +| cushion | 48.87 | 60.47 | +| base | 20.58 | 27.76 | +| box | 25.05 | 33.76 | +| column | 39.65 | 48.8 | +| signboard | 35.78 | 48.17 | +| chest of drawers | 42.22 | 63.44 | +| counter | 27.48 | 36.64 | +| sand | 37.5 | 54.26 | +| sink | 61.73 | 74.5 | +| skyscraper | 58.9 | 80.66 | +| fireplace | 60.38 | 74.4 | +| refrigerator | 70.8 | 81.93 | +| grandstand | 40.53 | 64.92 | +| path | 20.52 | 27.93 | +| stairs | 29.28 | 36.56 | +| runway | 70.42 | 90.72 | +| case | 45.5 | 59.65 | +| pool table | 88.45 | 95.8 | +| pillow | 49.01 | 63.79 | +| screen door | 52.97 | 61.39 | +| stairway | 25.61 | 37.67 | +| river | 27.87 | 38.31 | +| bridge | 57.16 | 82.55 | +| bookcase | 32.63 | 55.05 | +| blind | 24.77 | 27.3 | +| coffee table | 55.88 | 80.6 | +| toilet | 80.98 | 86.64 | +| flower | 29.91 | 42.86 | +| book | 43.56 | 63.11 | +| hill | 13.35 | 21.41 | +| bench | 44.6 | 58.39 | +| countertop | 49.64 | 62.68 | +| stove | 65.54 | 78.14 | +| palm | 45.64 | 61.29 | +| kitchen island | 41.11 | 77.23 | +| computer | 57.99 | 68.74 | +| swivel chair | 37.65 | 54.69 | +| boat | 64.93 | 88.51 | +| bar | 52.54 | 66.97 | +| arcade machine | 28.09 | 31.58 | +| hovel | 25.37 | 29.6 | +| bus | 88.3 | 94.52 | +| towel | 54.61 | 68.52 | +| light | 39.9 | 47.5 | +| truck | 41.49 | 63.33 | +| tower | 31.99 | 51.91 | +| chandelier | 58.25 | 72.82 | +| awning | 26.45 | 32.67 | +| streetlight | 22.82 | 32.44 | +| booth | 41.74 | 44.24 | +| television receiver | 63.95 | 81.03 | +| airplane | 53.26 | 62.24 | +| dirt track | 8.32 | 17.5 | +| apparel | 27.38 | 38.09 | +| pole | 18.11 | 26.9 | +| land | 4.08 | 6.2 | +| bannister | 3.65 | 4.33 | +| escalator | 38.71 | 51.87 | +| ottoman | 40.52 | 55.03 | +| bottle | 28.08 | 36.2 | +| buffet | 41.26 | 47.47 | +| poster | 22.33 | 27.3 | +| stage | 7.12 | 15.54 | +| van | 22.28 | 25.18 | +| ship | 66.51 | 85.52 | +| fountain | 20.83 | 21.35 | +| conveyer belt | 56.41 | 90.54 | +| canopy | 12.1 | 17.61 | +| washer | 68.12 | 73.41 | +| plaything | 23.45 | 29.74 | +| swimming pool | 35.09 | 47.79 | +| stool | 36.38 | 54.17 | +| barrel | 18.07 | 84.65 | +| basket | 27.85 | 35.38 | +| waterfall | 73.4 | 88.67 | +| tent | 84.96 | 96.46 | +| bag | 10.84 | 11.65 | +| minibike | 69.86 | 81.05 | +| cradle | 71.75 | 93.32 | +| oven | 19.4 | 23.87 | +| ball | 41.33 | 57.72 | +| food | 53.85 | 64.78 | +| step | 2.57 | 2.77 | +| tank | 32.06 | 37.99 | +| trade name | 27.75 | 31.65 | +| microwave | 80.29 | 90.02 | +| pot | 43.99 | 50.56 | +| animal | 56.33 | 60.48 | +| bicycle | 56.75 | 78.6 | +| lake | 0.0 | 0.0 | +| dishwasher | 48.87 | 72.27 | +| screen | 64.44 | 84.44 | +| blanket | 1.12 | 1.16 | +| sculpture | 47.15 | 57.32 | +| hood | 32.51 | 35.22 | +| sconce | 26.41 | 31.53 | +| vase | 37.39 | 51.64 | +| traffic light | 28.91 | 40.13 | +| tray | 5.34 | 7.39 | +| ashcan | 32.46 | 47.57 | +| fan | 47.72 | 58.15 | +| pier | 48.56 | 55.82 | +| crt screen | 8.55 | 20.33 | +| plate | 49.37 | 63.64 | +| monitor | 4.05 | 6.06 | +| bulletin board | 37.01 | 44.51 | +| shower | 4.13 | 8.11 | +| radiator | 47.12 | 54.47 | +| glass | 13.59 | 14.91 | +| clock | 19.79 | 22.84 | +| flag | 42.77 | 52.16 | ++---------------------+-------+-------+ +2023/10/24 00:48:25 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4360 coco/bbox_mAP_50: 0.6070 coco/bbox_mAP_75: 0.4690 coco/bbox_mAP_s: 0.2730 coco/bbox_mAP_m: 0.4780 coco/bbox_mAP_l: 0.5780 coco/segm_mAP: 0.2900 coco/segm_mAP_50: 0.5200 coco/segm_mAP_75: 0.2820 coco/segm_mAP_s: 0.1460 coco/segm_mAP_m: 0.3280 coco/segm_mAP_l: 0.4580 Bleu_1: 0.7475 Bleu_2: 0.5795 Bleu_3: 0.4394 Bleu_4: 0.3312 METEOR: 0.2665 ROUGE_L: 0.5503 CIDEr: 1.0657 SPICE: 0.1969 aAcc: 81.0200 mIoU: 44.3700 mAcc: 56.4500 visual-grounding/miou: 0.6889 visual-grounding/acc: 0.7636 data_time: 0.0378 time: 0.5458 +2023/10/24 01:03:35 - mmengine - INFO - Iter(train) [280500/320000] base_lr: 9.3514e-06 lr: 4.8960e-06 eta: 21:37:26 time: 1.9169 data_time: 0.1263 memory: 22133 grad_norm: 0.9530 loss: 1.1137 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2893 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7552 detection_loss_cls: 0.0513 detection_loss_reg: 0.4371 grounding_loss_reg: 3.2716 +2023/10/24 01:03:35 - mmengine - INFO - Saving checkpoint at 280500 iterations +2023/10/24 01:20:04 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 01:20:04 - mmengine - INFO - Iter(train) [281000/320000] base_lr: 9.1688e-06 lr: 4.8241e-06 eta: 21:21:05 time: 1.9349 data_time: 0.1267 memory: 22133 grad_norm: 0.9451 loss: 1.0987 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2872 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7536 detection_loss_cls: 0.0510 detection_loss_reg: 0.4360 grounding_loss_reg: 3.2704 +2023/10/24 01:20:04 - mmengine - INFO - Saving checkpoint at 281000 iterations +2023/10/24 01:35:52 - mmengine - INFO - Iter(train) [281500/320000] base_lr: 8.9883e-06 lr: 4.7530e-06 eta: 21:04:00 time: 1.9381 data_time: 0.1272 memory: 22133 grad_norm: 0.9450 loss: 1.0963 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2866 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7523 detection_loss_cls: 0.0508 detection_loss_reg: 0.4360 grounding_loss_reg: 3.2685 +2023/10/24 01:35:52 - mmengine - INFO - Saving checkpoint at 281500 iterations +2023/10/24 01:53:11 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 01:53:11 - mmengine - INFO - Iter(train) [282000/320000] base_lr: 8.8101e-06 lr: 4.6828e-06 eta: 20:48:30 time: 1.9366 data_time: 0.1270 memory: 22133 grad_norm: 0.9477 loss: 1.0909 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2888 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7516 detection_loss_cls: 0.0509 detection_loss_reg: 0.4369 grounding_loss_reg: 3.2679 +2023/10/24 01:53:11 - mmengine - INFO - Saving checkpoint at 282000 iterations +2023/10/24 02:10:25 - mmengine - INFO - Iter(train) [282500/320000] base_lr: 8.6341e-06 lr: 4.6134e-06 eta: 20:32:51 time: 1.9554 data_time: 0.1276 memory: 22133 grad_norm: 0.9479 loss: 1.0926 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2885 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7522 detection_loss_cls: 0.0508 detection_loss_reg: 0.4364 grounding_loss_reg: 3.2661 +2023/10/24 02:10:25 - mmengine - INFO - Saving checkpoint at 282500 iterations +2023/10/24 02:27:23 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 02:27:23 - mmengine - INFO - Iter(train) [283000/320000] base_lr: 8.4603e-06 lr: 4.5450e-06 eta: 20:16:55 time: 1.9772 data_time: 0.1286 memory: 22133 grad_norm: 0.9335 loss: 1.0797 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2869 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0508 detection_loss_reg: 0.4369 grounding_loss_reg: 3.2626 +2023/10/24 02:27:23 - mmengine - INFO - Saving checkpoint at 283000 iterations +2023/10/24 02:44:15 - mmengine - INFO - Iter(train) [283500/320000] base_lr: 8.2887e-06 lr: 4.4774e-06 eta: 20:00:52 time: 1.9783 data_time: 0.1280 memory: 22133 grad_norm: 0.9363 loss: 1.0702 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2894 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7473 detection_loss_cls: 0.0513 detection_loss_reg: 0.4398 grounding_loss_reg: 3.2620 +2023/10/24 02:44:15 - mmengine - INFO - Saving checkpoint at 283500 iterations +2023/10/24 03:00:57 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 03:00:57 - mmengine - INFO - Iter(train) [284000/320000] base_lr: 8.1194e-06 lr: 4.4107e-06 eta: 19:44:39 time: 1.9884 data_time: 0.1289 memory: 22133 grad_norm: 0.9378 loss: 1.0848 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2855 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7499 detection_loss_cls: 0.0513 detection_loss_reg: 0.4417 grounding_loss_reg: 3.2610 +2023/10/24 03:00:57 - mmengine - INFO - Saving checkpoint at 284000 iterations +2023/10/24 03:18:38 - mmengine - INFO - Iter(train) [284500/320000] base_lr: 7.9523e-06 lr: 4.3448e-06 eta: 19:29:17 time: 2.0253 data_time: 0.1433 memory: 22133 grad_norm: 0.9411 loss: 1.0910 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2857 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7482 detection_loss_cls: 0.0514 detection_loss_reg: 0.4410 grounding_loss_reg: 3.2603 +2023/10/24 03:18:38 - mmengine - INFO - Saving checkpoint at 284500 iterations +2023/10/24 03:34:43 - mmengine - INFO - Exp name: univision_joint_all_20231023_043034 +2023/10/24 03:34:43 - mmengine - INFO - Iter(train) [285000/320000] base_lr: 7.7875e-06 lr: 4.2799e-06 eta: 19:12:29 time: 2.0192 data_time: 0.1432 memory: 22133 grad_norm: 0.9597 loss: 1.1124 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2880 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7489 detection_loss_cls: 0.0513 detection_loss_reg: 0.4406 grounding_loss_reg: 3.2587 +2023/10/24 03:34:43 - mmengine - INFO - Saving checkpoint at 285000 iterations +2023/10/24 03:51:33 - mmengine - INFO - Iter(train) [285500/320000] base_lr: 7.6249e-06 lr: 4.2159e-06 eta: 18:56:19 time: 2.0346 data_time: 0.1427 memory: 22133 grad_norm: 0.9499 loss: 1.1028 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2896 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7460 detection_loss_cls: 0.0514 detection_loss_reg: 0.4416 grounding_loss_reg: 3.2568 +2023/10/24 03:51:33 - mmengine - INFO - Saving checkpoint at 285500 iterations +2023/10/29 23:10:28 - mmengine - INFO - Iter(train) [239000/320000] base_lr: 3.1688e-05 lr: 1.3695e-05 eta: 1 day, 5:59:18 time: 1.8151 data_time: 0.1309 memory: 22139 grad_norm: 0.9841 loss: 1.2169 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.3911 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7773 detection_loss_cls: 0.0558 detection_loss_reg: 0.4516 grounding_loss_reg: 3.4500 +2023/10/29 23:10:28 - mmengine - INFO - Saving checkpoint at 239000 iterations +2023/10/29 23:22:28 - mmengine - INFO - Iter(train) [239500/320000] base_lr: 3.1342e-05 lr: 1.3559e-05 eta: 1 day, 6:35:59 time: 1.7619 data_time: 0.1301 memory: 22139 grad_norm: 1.0140 loss: 1.2353 semantic_segmentation_loss_cls: 0.0128 caption_loss_cls: 2.3871 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7768 detection_loss_cls: 0.0557 detection_loss_reg: 0.4503 grounding_loss_reg: 3.4447 +2023/10/29 23:22:28 - mmengine - INFO - Saving checkpoint at 239500 iterations +2023/10/29 23:35:39 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/29 23:35:39 - mmengine - INFO - Iter(train) [240000/320000] base_lr: 3.0997e-05 lr: 1.3423e-05 eta: 1 day, 7:35:26 time: 1.7327 data_time: 0.1338 memory: 22139 grad_norm: 1.0418 loss: 1.2541 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3845 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.7787 detection_loss_cls: 0.0557 detection_loss_reg: 0.4500 grounding_loss_reg: 3.4411 +2023/10/29 23:35:39 - mmengine - INFO - Saving checkpoint at 240000 iterations +2023/10/29 23:40:19 - mmengine - INFO - Evaluating bbox... +2023/10/29 23:41:22 - mmengine - INFO - bbox_mAP_copypaste: 0.414 0.584 0.448 0.249 0.456 0.555 +2023/10/29 23:41:22 - mmengine - INFO - Evaluating segm... +2023/10/29 23:42:42 - mmengine - INFO - segm_mAP_copypaste: 0.273 0.496 0.266 0.133 0.310 0.429 +2023/10/29 23:44:00 - mmengine - INFO - Evaluating bbox... +2023/10/29 23:45:07 - mmengine - INFO - bbox_mAP_copypaste: 0.416 0.586 0.449 0.252 0.458 0.556 +2023/10/29 23:47:08 - mmengine - INFO - per class results: +2023/10/29 23:47:08 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 72.95 | 86.38 | +| building | 80.37 | 90.23 | +| sky | 93.05 | 97.16 | +| floor | 78.17 | 87.4 | +| tree | 71.34 | 86.62 | +| ceiling | 80.06 | 91.91 | +| road | 81.0 | 88.01 | +| bed | 85.57 | 93.95 | +| windowpane | 57.27 | 76.64 | +| grass | 70.51 | 85.57 | +| cabinet | 56.93 | 68.2 | +| sidewalk | 60.68 | 76.98 | +| person | 77.15 | 90.22 | +| earth | 39.49 | 56.08 | +| door | 40.8 | 55.78 | +| table | 54.26 | 71.91 | +| mountain | 57.45 | 75.28 | +| plant | 49.19 | 61.86 | +| curtain | 67.2 | 87.45 | +| chair | 49.97 | 64.86 | +| car | 78.94 | 88.99 | +| water | 51.78 | 65.94 | +| painting | 66.75 | 82.75 | +| sofa | 62.67 | 81.08 | +| shelf | 38.09 | 52.85 | +| house | 44.39 | 68.5 | +| sea | 56.52 | 78.97 | +| mirror | 55.58 | 63.75 | +| rug | 56.9 | 65.89 | +| field | 32.62 | 38.74 | +| armchair | 38.87 | 53.38 | +| seat | 58.25 | 71.26 | +| fence | 37.65 | 49.22 | +| desk | 39.03 | 53.11 | +| rock | 40.56 | 52.86 | +| wardrobe | 48.98 | 64.98 | +| lamp | 54.51 | 66.92 | +| bathtub | 75.02 | 81.83 | +| railing | 26.38 | 37.09 | +| cushion | 45.25 | 52.18 | +| base | 21.61 | 29.81 | +| box | 24.13 | 33.59 | +| column | 38.76 | 49.83 | +| signboard | 34.5 | 47.16 | +| chest of drawers | 39.75 | 50.66 | +| counter | 23.91 | 31.79 | +| sand | 32.29 | 50.07 | +| sink | 59.72 | 74.72 | +| skyscraper | 57.95 | 77.14 | +| fireplace | 57.5 | 74.74 | +| refrigerator | 66.85 | 81.48 | +| grandstand | 44.28 | 66.4 | +| path | 24.22 | 34.62 | +| stairs | 32.75 | 42.67 | +| runway | 68.77 | 88.22 | +| case | 47.93 | 61.18 | +| pool table | 89.44 | 94.32 | +| pillow | 46.83 | 63.01 | +| screen door | 58.13 | 68.63 | +| stairway | 27.58 | 39.88 | +| river | 25.3 | 40.21 | +| bridge | 55.13 | 83.11 | +| bookcase | 31.71 | 57.31 | +| blind | 28.91 | 32.51 | +| coffee table | 53.18 | 67.29 | +| toilet | 79.27 | 87.04 | +| flower | 32.97 | 47.14 | +| book | 41.72 | 59.24 | +| hill | 12.83 | 17.99 | +| bench | 41.23 | 59.91 | +| countertop | 47.74 | 57.91 | +| stove | 59.71 | 73.68 | +| palm | 43.89 | 58.72 | +| kitchen island | 36.5 | 70.38 | +| computer | 55.16 | 64.38 | +| swivel chair | 38.95 | 53.76 | +| boat | 67.05 | 85.3 | +| bar | 54.24 | 72.67 | +| arcade machine | 41.51 | 52.19 | +| hovel | 30.77 | 34.06 | +| bus | 84.87 | 95.43 | +| towel | 58.8 | 72.36 | +| light | 39.12 | 45.5 | +| truck | 34.36 | 57.14 | +| tower | 28.88 | 56.36 | +| chandelier | 60.49 | 80.02 | +| awning | 20.13 | 21.17 | +| streetlight | 20.58 | 25.24 | +| booth | 38.41 | 43.61 | +| television receiver | 59.68 | 69.25 | +| airplane | 54.31 | 61.64 | +| dirt track | 6.56 | 7.08 | +| apparel | 26.48 | 38.58 | +| pole | 21.37 | 33.11 | +| land | 2.83 | 3.99 | +| bannister | 1.3 | 1.52 | +| escalator | 46.09 | 57.85 | +| ottoman | 38.05 | 51.5 | +| bottle | 21.31 | 27.53 | +| buffet | 49.25 | 59.88 | +| poster | 18.78 | 22.59 | +| stage | 9.82 | 17.15 | +| van | 21.89 | 24.7 | +| ship | 70.96 | 80.57 | +| fountain | 18.12 | 19.0 | +| conveyer belt | 56.59 | 91.96 | +| canopy | 16.32 | 24.48 | +| washer | 68.89 | 75.67 | +| plaything | 25.57 | 32.19 | +| swimming pool | 31.27 | 49.83 | +| stool | 36.55 | 48.64 | +| barrel | 13.47 | 86.73 | +| basket | 25.84 | 30.64 | +| waterfall | 70.25 | 93.0 | +| tent | 85.14 | 95.75 | +| bag | 11.92 | 12.98 | +| minibike | 69.74 | 85.18 | +| cradle | 72.36 | 95.51 | +| oven | 27.8 | 44.58 | +| ball | 30.73 | 36.06 | +| food | 50.91 | 62.7 | +| step | 4.19 | 4.74 | +| tank | 31.8 | 36.92 | +| trade name | 16.89 | 18.05 | +| microwave | 80.26 | 90.53 | +| pot | 42.8 | 49.25 | +| animal | 58.85 | 62.51 | +| bicycle | 56.21 | 73.85 | +| lake | 37.95 | 45.06 | +| dishwasher | 42.24 | 56.8 | +| screen | 51.01 | 88.03 | +| blanket | 0.09 | 0.09 | +| sculpture | 42.46 | 50.1 | +| hood | 37.6 | 41.92 | +| sconce | 26.28 | 31.86 | +| vase | 35.05 | 47.33 | +| traffic light | 25.34 | 33.61 | +| tray | 3.59 | 4.48 | +| ashcan | 31.76 | 51.67 | +| fan | 46.98 | 55.39 | +| pier | 41.35 | 60.95 | +| crt screen | 3.41 | 9.92 | +| plate | 45.8 | 55.38 | +| monitor | 2.56 | 3.98 | +| bulletin board | 38.03 | 48.43 | +| shower | 1.74 | 1.79 | +| radiator | 51.07 | 60.46 | +| glass | 11.1 | 12.0 | +| clock | 17.13 | 20.11 | +| flag | 35.09 | 40.04 | ++---------------------+-------+-------+ +2023/10/29 23:47:22 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4160 coco/bbox_mAP_50: 0.5860 coco/bbox_mAP_75: 0.4490 coco/bbox_mAP_s: 0.2520 coco/bbox_mAP_m: 0.4580 coco/bbox_mAP_l: 0.5560 coco/segm_mAP: 0.2730 coco/segm_mAP_50: 0.4960 coco/segm_mAP_75: 0.2660 coco/segm_mAP_s: 0.1330 coco/segm_mAP_m: 0.3100 coco/segm_mAP_l: 0.4290 Bleu_1: 0.7380 Bleu_2: 0.5660 Bleu_3: 0.4252 Bleu_4: 0.3171 METEOR: 0.2595 ROUGE_L: 0.5434 CIDEr: 1.0205 SPICE: 0.1901 aAcc: 80.7400 mIoU: 43.8100 mAcc: 55.9400 visual-grounding/miou: 0.6723 visual-grounding/acc: 0.7493 data_time: 0.0519 time: 0.5463 +2023/10/29 23:58:47 - mmengine - INFO - Iter(train) [240500/320000] base_lr: 3.0654e-05 lr: 1.3288e-05 eta: 1 day, 7:11:54 time: 1.6498 data_time: 0.1192 memory: 22138 grad_norm: 1.0847 loss: 1.2802 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3776 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.7787 detection_loss_cls: 0.0558 detection_loss_reg: 0.4502 grounding_loss_reg: 3.4381 +2023/10/29 23:58:47 - mmengine - INFO - Saving checkpoint at 240500 iterations +2023/10/30 00:14:22 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 00:14:22 - mmengine - INFO - Iter(train) [241000/320000] base_lr: 3.0313e-05 lr: 1.3154e-05 eta: 1 day, 8:40:25 time: 1.6315 data_time: 0.1200 memory: 22138 grad_norm: 1.0964 loss: 1.2948 semantic_segmentation_loss_cls: 0.0127 caption_loss_cls: 2.3728 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7794 detection_loss_cls: 0.0556 detection_loss_reg: 0.4489 grounding_loss_reg: 3.4336 +2023/10/30 00:14:22 - mmengine - INFO - Saving checkpoint at 241000 iterations +2023/10/30 00:28:18 - mmengine - INFO - Iter(train) [241500/320000] base_lr: 2.9974e-05 lr: 1.3020e-05 eta: 1 day, 9:02:05 time: 1.5868 data_time: 0.1182 memory: 22138 grad_norm: 1.1321 loss: 1.3129 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3678 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7790 detection_loss_cls: 0.0557 detection_loss_reg: 0.4488 grounding_loss_reg: 3.4273 +2023/10/30 00:28:18 - mmengine - INFO - Saving checkpoint at 241500 iterations +2023/10/30 00:40:42 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 00:40:42 - mmengine - INFO - Iter(train) [242000/320000] base_lr: 2.9636e-05 lr: 1.2887e-05 eta: 1 day, 8:44:51 time: 1.5114 data_time: 0.1173 memory: 22138 grad_norm: 1.1743 loss: 1.3416 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3643 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7775 detection_loss_cls: 0.0555 detection_loss_reg: 0.4486 grounding_loss_reg: 3.4243 +2023/10/30 00:40:42 - mmengine - INFO - Saving checkpoint at 242000 iterations +2023/10/30 00:55:22 - mmengine - INFO - Iter(train) [242500/320000] base_lr: 2.9300e-05 lr: 1.2755e-05 eta: 1 day, 9:07:57 time: 1.5647 data_time: 0.1318 memory: 22138 grad_norm: 1.1854 loss: 1.3533 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3611 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7761 detection_loss_cls: 0.0555 detection_loss_reg: 0.4489 grounding_loss_reg: 3.4199 +2023/10/30 00:55:22 - mmengine - INFO - Saving checkpoint at 242500 iterations +2023/10/30 01:09:31 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 01:09:31 - mmengine - INFO - Iter(train) [243000/320000] base_lr: 2.8966e-05 lr: 1.2623e-05 eta: 1 day, 9:15:28 time: 1.6104 data_time: 0.1319 memory: 22138 grad_norm: 1.1708 loss: 1.3348 semantic_segmentation_loss_cls: 0.0126 caption_loss_cls: 2.3598 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7772 detection_loss_cls: 0.0555 detection_loss_reg: 0.4493 grounding_loss_reg: 3.4131 +2023/10/30 01:09:31 - mmengine - INFO - Saving checkpoint at 243000 iterations +2023/10/30 01:23:02 - mmengine - INFO - Iter(train) [243500/320000] base_lr: 2.8633e-05 lr: 1.2492e-05 eta: 1 day, 9:10:15 time: 1.6332 data_time: 0.1321 memory: 22138 grad_norm: 1.1760 loss: 1.3422 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3579 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7785 detection_loss_cls: 0.0552 detection_loss_reg: 0.4487 grounding_loss_reg: 3.4110 +2023/10/30 01:23:02 - mmengine - INFO - Saving checkpoint at 243500 iterations +2023/10/30 01:36:55 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 01:36:55 - mmengine - INFO - Iter(train) [244000/320000] base_lr: 2.8303e-05 lr: 1.2362e-05 eta: 1 day, 9:08:21 time: 1.6438 data_time: 0.1291 memory: 22138 grad_norm: 1.1877 loss: 1.3540 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3548 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.7802 detection_loss_cls: 0.0553 detection_loss_reg: 0.4495 grounding_loss_reg: 3.4085 +2023/10/30 01:36:55 - mmengine - INFO - Saving checkpoint at 244000 iterations +2023/10/30 01:51:42 - mmengine - INFO - Iter(train) [244500/320000] base_lr: 2.7974e-05 lr: 1.2232e-05 eta: 1 day, 9:14:57 time: 1.6933 data_time: 0.1441 memory: 22138 grad_norm: 1.1922 loss: 1.3566 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3520 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.7796 detection_loss_cls: 0.0552 detection_loss_reg: 0.4488 grounding_loss_reg: 3.4051 +2023/10/30 01:51:42 - mmengine - INFO - Saving checkpoint at 244500 iterations +2023/10/30 02:03:58 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 02:03:58 - mmengine - INFO - Iter(train) [245000/320000] base_lr: 2.7646e-05 lr: 1.2103e-05 eta: 1 day, 8:51:34 time: 1.6435 data_time: 0.1430 memory: 22138 grad_norm: 1.2057 loss: 1.3739 semantic_segmentation_loss_cls: 0.0125 caption_loss_cls: 2.3521 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.7811 detection_loss_cls: 0.0550 detection_loss_reg: 0.4490 grounding_loss_reg: 3.4004 +2023/10/30 02:03:58 - mmengine - INFO - Saving checkpoint at 245000 iterations +2023/10/30 02:17:03 - mmengine - INFO - Iter(train) [245500/320000] base_lr: 2.7321e-05 lr: 1.1975e-05 eta: 1 day, 8:37:47 time: 1.6308 data_time: 0.1419 memory: 22138 grad_norm: 1.2022 loss: 1.3788 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3507 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.7798 detection_loss_cls: 0.0553 detection_loss_reg: 0.4488 grounding_loss_reg: 3.3986 +2023/10/30 02:17:03 - mmengine - INFO - Saving checkpoint at 245500 iterations +2023/10/30 02:31:11 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 02:31:11 - mmengine - INFO - Iter(train) [246000/320000] base_lr: 2.6997e-05 lr: 1.1847e-05 eta: 1 day, 8:33:49 time: 1.6569 data_time: 0.1417 memory: 22138 grad_norm: 1.2097 loss: 1.3854 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3483 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3016 instance_segmentation_loss_poly: 0.7801 detection_loss_cls: 0.0554 detection_loss_reg: 0.4491 grounding_loss_reg: 3.3933 +2023/10/30 02:31:11 - mmengine - INFO - Saving checkpoint at 246000 iterations +2023/10/30 02:46:09 - mmengine - INFO - Iter(train) [246500/320000] base_lr: 2.6675e-05 lr: 1.1721e-05 eta: 1 day, 8:35:50 time: 1.6613 data_time: 0.1424 memory: 22138 grad_norm: 1.2060 loss: 1.3836 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3453 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.7795 detection_loss_cls: 0.0550 detection_loss_reg: 0.4466 grounding_loss_reg: 3.3891 +2023/10/30 02:46:09 - mmengine - INFO - Saving checkpoint at 246500 iterations +2023/10/30 02:59:49 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 02:59:49 - mmengine - INFO - Iter(train) [247000/320000] base_lr: 2.6355e-05 lr: 1.1595e-05 eta: 1 day, 8:25:26 time: 1.6541 data_time: 0.1438 memory: 22138 grad_norm: 1.2023 loss: 1.3711 semantic_segmentation_loss_cls: 0.0124 caption_loss_cls: 2.3397 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.7801 detection_loss_cls: 0.0547 detection_loss_reg: 0.4467 grounding_loss_reg: 3.3838 +2023/10/30 02:59:49 - mmengine - INFO - Saving checkpoint at 247000 iterations +2023/10/30 03:13:42 - mmengine - INFO - Iter(train) [247500/320000] base_lr: 2.6037e-05 lr: 1.1469e-05 eta: 1 day, 8:16:21 time: 1.6596 data_time: 0.1438 memory: 22138 grad_norm: 1.2098 loss: 1.3759 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3393 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.7786 detection_loss_cls: 0.0548 detection_loss_reg: 0.4475 grounding_loss_reg: 3.3812 +2023/10/30 03:13:42 - mmengine - INFO - Saving checkpoint at 247500 iterations +2023/10/30 03:27:34 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 03:27:34 - mmengine - INFO - Iter(train) [248000/320000] base_lr: 2.5720e-05 lr: 1.1344e-05 eta: 1 day, 8:06:37 time: 1.6592 data_time: 0.1429 memory: 22138 grad_norm: 1.2123 loss: 1.3709 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3420 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3019 instance_segmentation_loss_poly: 0.7787 detection_loss_cls: 0.0549 detection_loss_reg: 0.4480 grounding_loss_reg: 3.3787 +2023/10/30 03:27:34 - mmengine - INFO - Saving checkpoint at 248000 iterations +2023/10/30 03:41:38 - mmengine - INFO - Iter(train) [248500/320000] base_lr: 2.5406e-05 lr: 1.1220e-05 eta: 1 day, 7:57:52 time: 1.6484 data_time: 0.1412 memory: 22138 grad_norm: 1.2152 loss: 1.3694 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3411 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.7766 detection_loss_cls: 0.0546 detection_loss_reg: 0.4462 grounding_loss_reg: 3.3739 +2023/10/30 03:41:38 - mmengine - INFO - Saving checkpoint at 248500 iterations +2023/10/30 03:58:41 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 03:58:41 - mmengine - INFO - Iter(train) [249000/320000] base_lr: 2.5093e-05 lr: 1.1097e-05 eta: 1 day, 8:07:56 time: 1.7202 data_time: 0.1465 memory: 22138 grad_norm: 1.2077 loss: 1.3524 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3405 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7751 detection_loss_cls: 0.0543 detection_loss_reg: 0.4437 grounding_loss_reg: 3.3711 +2023/10/30 03:58:41 - mmengine - INFO - Saving checkpoint at 249000 iterations +2023/10/30 04:12:47 - mmengine - INFO - Iter(train) [249500/320000] base_lr: 2.4782e-05 lr: 1.0975e-05 eta: 1 day, 7:57:33 time: 1.7355 data_time: 0.1464 memory: 22138 grad_norm: 1.1978 loss: 1.3387 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3421 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7730 detection_loss_cls: 0.0544 detection_loss_reg: 0.4442 grounding_loss_reg: 3.3686 +2023/10/30 04:12:47 - mmengine - INFO - Saving checkpoint at 249500 iterations +2023/10/30 04:27:17 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 04:27:17 - mmengine - INFO - Iter(train) [250000/320000] base_lr: 2.4473e-05 lr: 1.0853e-05 eta: 1 day, 7:49:10 time: 1.7409 data_time: 0.1490 memory: 22138 grad_norm: 1.1920 loss: 1.3345 semantic_segmentation_loss_cls: 0.0123 caption_loss_cls: 2.3417 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7723 detection_loss_cls: 0.0544 detection_loss_reg: 0.4432 grounding_loss_reg: 3.3649 +2023/10/30 04:27:17 - mmengine - INFO - Saving checkpoint at 250000 iterations +2023/10/30 04:31:51 - mmengine - INFO - Evaluating bbox... +2023/10/30 04:32:53 - mmengine - INFO - bbox_mAP_copypaste: 0.421 0.591 0.455 0.261 0.465 0.555 +2023/10/30 04:32:53 - mmengine - INFO - Evaluating segm... +2023/10/30 04:34:12 - mmengine - INFO - segm_mAP_copypaste: 0.280 0.505 0.275 0.140 0.320 0.440 +2023/10/30 04:35:43 - mmengine - INFO - Evaluating bbox... +2023/10/30 04:36:50 - mmengine - INFO - bbox_mAP_copypaste: 0.423 0.594 0.457 0.263 0.468 0.556 +2023/10/30 04:39:10 - mmengine - INFO - per class results: +2023/10/30 04:39:10 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.08 | 84.43 | +| building | 80.33 | 91.12 | +| sky | 92.77 | 97.25 | +| floor | 78.7 | 87.43 | +| tree | 70.89 | 84.56 | +| ceiling | 79.33 | 93.73 | +| road | 80.0 | 90.4 | +| bed | 85.07 | 94.11 | +| windowpane | 56.77 | 76.41 | +| grass | 69.37 | 83.83 | +| cabinet | 56.44 | 69.57 | +| sidewalk | 58.48 | 69.1 | +| person | 77.43 | 90.42 | +| earth | 38.5 | 48.96 | +| door | 42.79 | 63.14 | +| table | 54.16 | 68.62 | +| mountain | 58.33 | 80.5 | +| plant | 48.13 | 60.8 | +| curtain | 67.92 | 83.86 | +| chair | 49.55 | 66.81 | +| car | 77.39 | 90.72 | +| water | 50.64 | 65.14 | +| painting | 65.2 | 83.92 | +| sofa | 61.73 | 77.92 | +| shelf | 34.83 | 46.34 | +| house | 44.59 | 58.8 | +| sea | 56.07 | 78.85 | +| mirror | 56.75 | 68.1 | +| rug | 59.83 | 71.26 | +| field | 35.36 | 51.91 | +| armchair | 39.13 | 58.55 | +| seat | 59.82 | 74.82 | +| fence | 37.42 | 56.21 | +| desk | 41.66 | 59.6 | +| rock | 46.08 | 58.98 | +| wardrobe | 46.3 | 65.1 | +| lamp | 53.5 | 67.84 | +| bathtub | 74.78 | 84.37 | +| railing | 27.6 | 43.62 | +| cushion | 49.62 | 71.52 | +| base | 21.08 | 27.43 | +| box | 22.1 | 35.21 | +| column | 38.38 | 50.08 | +| signboard | 34.08 | 44.79 | +| chest of drawers | 37.09 | 42.93 | +| counter | 26.09 | 32.88 | +| sand | 36.23 | 56.19 | +| sink | 61.06 | 72.83 | +| skyscraper | 57.77 | 81.84 | +| fireplace | 58.06 | 76.18 | +| refrigerator | 62.92 | 83.57 | +| grandstand | 32.34 | 66.59 | +| path | 15.9 | 22.07 | +| stairs | 19.82 | 22.64 | +| runway | 69.18 | 89.1 | +| case | 41.54 | 66.51 | +| pool table | 86.4 | 95.44 | +| pillow | 36.02 | 40.51 | +| screen door | 52.69 | 65.01 | +| stairway | 24.7 | 36.12 | +| river | 24.82 | 45.4 | +| bridge | 56.73 | 86.99 | +| bookcase | 30.1 | 54.78 | +| blind | 8.52 | 8.73 | +| coffee table | 52.87 | 72.5 | +| toilet | 79.51 | 87.94 | +| flower | 28.05 | 50.37 | +| book | 40.83 | 65.46 | +| hill | 11.72 | 18.82 | +| bench | 40.06 | 54.17 | +| countertop | 48.48 | 55.81 | +| stove | 60.99 | 75.44 | +| palm | 43.01 | 56.37 | +| kitchen island | 33.68 | 55.97 | +| computer | 55.17 | 64.85 | +| swivel chair | 41.0 | 57.44 | +| boat | 66.69 | 87.08 | +| bar | 47.32 | 61.28 | +| arcade machine | 36.64 | 44.17 | +| hovel | 30.77 | 48.14 | +| bus | 84.4 | 94.74 | +| towel | 55.93 | 73.56 | +| light | 37.98 | 46.15 | +| truck | 35.87 | 60.25 | +| tower | 28.47 | 44.21 | +| chandelier | 56.9 | 68.88 | +| awning | 18.57 | 24.41 | +| streetlight | 20.08 | 26.61 | +| booth | 41.57 | 47.22 | +| television receiver | 61.94 | 78.89 | +| airplane | 50.0 | 62.23 | +| dirt track | 4.44 | 11.04 | +| apparel | 26.87 | 37.8 | +| pole | 19.74 | 30.72 | +| land | 4.03 | 4.96 | +| bannister | 4.92 | 5.77 | +| escalator | 49.26 | 78.76 | +| ottoman | 40.0 | 50.61 | +| bottle | 29.75 | 38.72 | +| buffet | 50.8 | 63.62 | +| poster | 19.75 | 27.98 | +| stage | 9.31 | 19.8 | +| van | 21.07 | 24.41 | +| ship | 67.45 | 83.81 | +| fountain | 19.35 | 19.96 | +| conveyer belt | 55.12 | 91.17 | +| canopy | 14.29 | 20.78 | +| washer | 65.66 | 70.15 | +| plaything | 24.49 | 34.64 | +| swimming pool | 38.44 | 52.98 | +| stool | 35.71 | 49.08 | +| barrel | 22.3 | 87.83 | +| basket | 26.74 | 38.93 | +| waterfall | 70.13 | 86.36 | +| tent | 85.15 | 96.53 | +| bag | 12.75 | 14.44 | +| minibike | 67.18 | 82.61 | +| cradle | 60.91 | 75.58 | +| oven | 15.72 | 18.45 | +| ball | 37.58 | 48.31 | +| food | 50.41 | 60.04 | +| step | 1.34 | 1.46 | +| tank | 28.93 | 32.3 | +| trade name | 13.63 | 14.45 | +| microwave | 80.54 | 89.64 | +| pot | 39.64 | 48.0 | +| animal | 56.83 | 63.35 | +| bicycle | 53.71 | 74.85 | +| lake | 0.0 | 0.0 | +| dishwasher | 45.53 | 57.23 | +| screen | 55.93 | 85.74 | +| blanket | 1.14 | 1.24 | +| sculpture | 43.39 | 60.97 | +| hood | 38.55 | 43.44 | +| sconce | 29.58 | 44.62 | +| vase | 36.47 | 46.99 | +| traffic light | 25.84 | 36.44 | +| tray | 3.8 | 5.09 | +| ashcan | 32.14 | 43.14 | +| fan | 47.58 | 58.55 | +| pier | 46.06 | 53.19 | +| crt screen | 3.78 | 12.13 | +| plate | 48.7 | 62.18 | +| monitor | 9.98 | 11.06 | +| bulletin board | 43.35 | 57.54 | +| shower | 1.17 | 1.4 | +| radiator | 41.17 | 47.52 | +| glass | 12.87 | 14.27 | +| clock | 18.21 | 22.74 | +| flag | 52.58 | 63.68 | ++---------------------+-------+-------+ +2023/10/30 04:39:19 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4230 coco/bbox_mAP_50: 0.5940 coco/bbox_mAP_75: 0.4570 coco/bbox_mAP_s: 0.2630 coco/bbox_mAP_m: 0.4680 coco/bbox_mAP_l: 0.5560 coco/segm_mAP: 0.2800 coco/segm_mAP_50: 0.5050 coco/segm_mAP_75: 0.2750 coco/segm_mAP_s: 0.1400 coco/segm_mAP_m: 0.3200 coco/segm_mAP_l: 0.4400 Bleu_1: 0.7460 Bleu_2: 0.5731 Bleu_3: 0.4325 Bleu_4: 0.3256 METEOR: 0.2639 ROUGE_L: 0.5480 CIDEr: 1.0424 SPICE: 0.1933 aAcc: 80.4400 mIoU: 43.0700 mAcc: 55.9000 visual-grounding/miou: 0.6739 visual-grounding/acc: 0.7453 data_time: 0.0509 time: 0.5408 +2023/10/30 04:53:02 - mmengine - INFO - Iter(train) [250500/320000] base_lr: 2.4165e-05 lr: 1.0732e-05 eta: 1 day, 7:36:06 time: 1.7226 data_time: 0.1335 memory: 22138 grad_norm: 1.1874 loss: 1.3240 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3356 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.7723 detection_loss_cls: 0.0544 detection_loss_reg: 0.4434 grounding_loss_reg: 3.3636 +2023/10/30 04:53:02 - mmengine - INFO - Saving checkpoint at 250500 iterations +2023/10/30 05:07:33 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 05:07:33 - mmengine - INFO - Iter(train) [251000/320000] base_lr: 2.3860e-05 lr: 1.0611e-05 eta: 1 day, 7:27:05 time: 1.7354 data_time: 0.1336 memory: 22138 grad_norm: 1.2011 loss: 1.3309 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3302 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7686 detection_loss_cls: 0.0544 detection_loss_reg: 0.4438 grounding_loss_reg: 3.3589 +2023/10/30 05:07:33 - mmengine - INFO - Saving checkpoint at 251000 iterations +2023/10/30 05:23:10 - mmengine - INFO - Iter(train) [251500/320000] base_lr: 2.3556e-05 lr: 1.0492e-05 eta: 1 day, 7:23:10 time: 1.7611 data_time: 0.1352 memory: 22138 grad_norm: 1.2046 loss: 1.3306 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3321 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7689 detection_loss_cls: 0.0543 detection_loss_reg: 0.4439 grounding_loss_reg: 3.3495 +2023/10/30 05:23:10 - mmengine - INFO - Saving checkpoint at 251500 iterations +2023/10/30 05:36:22 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 05:36:22 - mmengine - INFO - Iter(train) [252000/320000] base_lr: 2.3254e-05 lr: 1.0373e-05 eta: 1 day, 7:06:46 time: 1.7512 data_time: 0.1350 memory: 22138 grad_norm: 1.2047 loss: 1.3329 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3349 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7673 detection_loss_cls: 0.0543 detection_loss_reg: 0.4445 grounding_loss_reg: 3.3451 +2023/10/30 05:36:22 - mmengine - INFO - Saving checkpoint at 252000 iterations +2023/10/30 05:52:52 - mmengine - INFO - Iter(train) [252500/320000] base_lr: 2.2954e-05 lr: 1.0255e-05 eta: 1 day, 7:05:56 time: 1.7878 data_time: 0.1352 memory: 22138 grad_norm: 1.2030 loss: 1.3328 semantic_segmentation_loss_cls: 0.0122 caption_loss_cls: 2.3350 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7655 detection_loss_cls: 0.0542 detection_loss_reg: 0.4441 grounding_loss_reg: 3.3382 +2023/10/30 05:52:52 - mmengine - INFO - Saving checkpoint at 252500 iterations +2023/10/30 06:08:41 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 06:08:41 - mmengine - INFO - Iter(train) [253000/320000] base_lr: 2.2656e-05 lr: 1.0137e-05 eta: 1 day, 7:01:01 time: 1.7693 data_time: 0.1317 memory: 22138 grad_norm: 1.1947 loss: 1.3303 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3368 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7665 detection_loss_cls: 0.0540 detection_loss_reg: 0.4433 grounding_loss_reg: 3.3310 +2023/10/30 06:08:41 - mmengine - INFO - Saving checkpoint at 253000 iterations +2023/10/30 06:22:13 - mmengine - INFO - Iter(train) [253500/320000] base_lr: 2.2360e-05 lr: 1.0021e-05 eta: 1 day, 6:45:37 time: 1.7609 data_time: 0.1314 memory: 22138 grad_norm: 1.2112 loss: 1.3360 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3375 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7672 detection_loss_cls: 0.0537 detection_loss_reg: 0.4417 grounding_loss_reg: 3.3271 +2023/10/30 06:22:13 - mmengine - INFO - Saving checkpoint at 253500 iterations +2023/10/30 06:37:48 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 06:37:48 - mmengine - INFO - Iter(train) [254000/320000] base_lr: 2.2066e-05 lr: 9.9047e-06 eta: 1 day, 6:38:46 time: 1.7772 data_time: 0.1298 memory: 22138 grad_norm: 1.1995 loss: 1.3221 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3397 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7666 detection_loss_cls: 0.0537 detection_loss_reg: 0.4425 grounding_loss_reg: 3.3205 +2023/10/30 06:37:48 - mmengine - INFO - Saving checkpoint at 254000 iterations +2023/10/30 06:52:21 - mmengine - INFO - Iter(train) [254500/320000] base_lr: 2.1773e-05 lr: 9.7896e-06 eta: 1 day, 6:27:14 time: 1.7891 data_time: 0.1432 memory: 22138 grad_norm: 1.2097 loss: 1.3312 semantic_segmentation_loss_cls: 0.0121 caption_loss_cls: 2.3404 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7671 detection_loss_cls: 0.0532 detection_loss_reg: 0.4401 grounding_loss_reg: 3.3167 +2023/10/30 06:52:21 - mmengine - INFO - Saving checkpoint at 254500 iterations +2023/10/30 07:06:53 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 07:06:53 - mmengine - INFO - Iter(train) [255000/320000] base_lr: 2.1483e-05 lr: 9.6751e-06 eta: 1 day, 6:15:30 time: 1.7893 data_time: 0.1426 memory: 22138 grad_norm: 1.2185 loss: 1.3483 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.3392 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7669 detection_loss_cls: 0.0530 detection_loss_reg: 0.4398 grounding_loss_reg: 3.3148 +2023/10/30 07:06:53 - mmengine - INFO - Saving checkpoint at 255000 iterations +2023/10/30 07:22:07 - mmengine - INFO - Iter(train) [255500/320000] base_lr: 2.1194e-05 lr: 9.5615e-06 eta: 1 day, 6:06:12 time: 1.7838 data_time: 0.1441 memory: 22138 grad_norm: 1.2045 loss: 1.3316 semantic_segmentation_loss_cls: 0.0120 caption_loss_cls: 2.3376 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7691 detection_loss_cls: 0.0530 detection_loss_reg: 0.4393 grounding_loss_reg: 3.3126 +2023/10/30 07:22:07 - mmengine - INFO - Saving checkpoint at 255500 iterations +2023/10/30 07:37:10 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 07:37:10 - mmengine - INFO - Iter(train) [256000/320000] base_lr: 2.0908e-05 lr: 9.4486e-06 eta: 1 day, 5:55:55 time: 1.8115 data_time: 0.1455 memory: 22138 grad_norm: 1.2099 loss: 1.3240 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3306 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7676 detection_loss_cls: 0.0532 detection_loss_reg: 0.4391 grounding_loss_reg: 3.3087 +2023/10/30 07:37:10 - mmengine - INFO - Saving checkpoint at 256000 iterations +2023/10/30 07:53:42 - mmengine - INFO - Iter(train) [256500/320000] base_lr: 2.0623e-05 lr: 9.3364e-06 eta: 1 day, 5:50:28 time: 1.8120 data_time: 0.1469 memory: 22138 grad_norm: 1.2275 loss: 1.3199 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3233 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7660 detection_loss_cls: 0.0533 detection_loss_reg: 0.4400 grounding_loss_reg: 3.3034 +2023/10/30 07:53:42 - mmengine - INFO - Saving checkpoint at 256500 iterations +2023/10/30 08:10:38 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 08:10:38 - mmengine - INFO - Iter(train) [257000/320000] base_lr: 2.0340e-05 lr: 9.2250e-06 eta: 1 day, 5:45:46 time: 1.8288 data_time: 0.1456 memory: 22138 grad_norm: 1.2343 loss: 1.3214 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3265 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7647 detection_loss_cls: 0.0534 detection_loss_reg: 0.4393 grounding_loss_reg: 3.2993 +2023/10/30 08:10:38 - mmengine - INFO - Saving checkpoint at 257000 iterations +2023/10/30 08:25:24 - mmengine - INFO - Iter(train) [257500/320000] base_lr: 2.0060e-05 lr: 9.1144e-06 eta: 1 day, 5:33:29 time: 1.8472 data_time: 0.1466 memory: 22138 grad_norm: 1.2085 loss: 1.3081 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3220 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7658 detection_loss_cls: 0.0534 detection_loss_reg: 0.4397 grounding_loss_reg: 3.2978 +2023/10/30 08:25:24 - mmengine - INFO - Saving checkpoint at 257500 iterations +2023/10/30 08:39:42 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 08:39:42 - mmengine - INFO - Iter(train) [258000/320000] base_lr: 1.9781e-05 lr: 9.0046e-06 eta: 1 day, 5:19:38 time: 1.8279 data_time: 0.1470 memory: 22138 grad_norm: 1.2154 loss: 1.3069 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3206 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7659 detection_loss_cls: 0.0531 detection_loss_reg: 0.4386 grounding_loss_reg: 3.2927 +2023/10/30 08:39:42 - mmengine - INFO - Saving checkpoint at 258000 iterations +2023/10/30 08:53:59 - mmengine - INFO - Iter(train) [258500/320000] base_lr: 1.9504e-05 lr: 8.8955e-06 eta: 1 day, 5:05:42 time: 1.8241 data_time: 0.1466 memory: 22138 grad_norm: 1.2142 loss: 1.3023 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3199 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7637 detection_loss_cls: 0.0530 detection_loss_reg: 0.4370 grounding_loss_reg: 3.2879 +2023/10/30 08:53:59 - mmengine - INFO - Saving checkpoint at 258500 iterations +2023/10/30 09:08:41 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 09:08:41 - mmengine - INFO - Iter(train) [259000/320000] base_lr: 1.9229e-05 lr: 8.7872e-06 eta: 1 day, 4:52:59 time: 1.8267 data_time: 0.1466 memory: 22138 grad_norm: 1.1954 loss: 1.2837 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3147 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7630 detection_loss_cls: 0.0530 detection_loss_reg: 0.4373 grounding_loss_reg: 3.2806 +2023/10/30 09:08:41 - mmengine - INFO - Saving checkpoint at 259000 iterations +2023/10/30 09:22:52 - mmengine - INFO - Iter(train) [259500/320000] base_lr: 1.8956e-05 lr: 8.6796e-06 eta: 1 day, 4:38:41 time: 1.8107 data_time: 0.1436 memory: 22138 grad_norm: 1.2027 loss: 1.2823 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3171 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7622 detection_loss_cls: 0.0529 detection_loss_reg: 0.4371 grounding_loss_reg: 3.2756 +2023/10/30 09:22:52 - mmengine - INFO - Saving checkpoint at 259500 iterations +2023/10/30 09:38:00 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 09:38:00 - mmengine - INFO - Iter(train) [260000/320000] base_lr: 1.8685e-05 lr: 8.5729e-06 eta: 1 day, 4:26:59 time: 1.8119 data_time: 0.1436 memory: 21621 grad_norm: 1.2045 loss: 1.2842 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3157 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7599 detection_loss_cls: 0.0527 detection_loss_reg: 0.4361 grounding_loss_reg: 3.2720 +2023/10/30 09:38:00 - mmengine - INFO - Saving checkpoint at 260000 iterations +2023/10/30 09:42:34 - mmengine - INFO - Evaluating bbox... +2023/10/30 09:43:37 - mmengine - INFO - bbox_mAP_copypaste: 0.423 0.591 0.455 0.258 0.467 0.559 +2023/10/30 09:43:37 - mmengine - INFO - Evaluating segm... +2023/10/30 09:44:56 - mmengine - INFO - segm_mAP_copypaste: 0.284 0.509 0.278 0.138 0.325 0.447 +2023/10/30 09:46:11 - mmengine - INFO - Evaluating bbox... +2023/10/30 09:47:17 - mmengine - INFO - bbox_mAP_copypaste: 0.424 0.592 0.456 0.261 0.468 0.560 +2023/10/30 09:49:32 - mmengine - INFO - per class results: +2023/10/30 09:49:32 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.15 | 86.63 | +| building | 80.51 | 90.28 | +| sky | 92.89 | 97.18 | +| floor | 78.62 | 87.1 | +| tree | 72.25 | 87.22 | +| ceiling | 79.81 | 92.35 | +| road | 81.56 | 86.94 | +| bed | 85.36 | 93.44 | +| windowpane | 57.14 | 77.89 | +| grass | 69.59 | 85.22 | +| cabinet | 57.07 | 68.51 | +| sidewalk | 60.95 | 79.05 | +| person | 77.41 | 89.87 | +| earth | 39.06 | 50.58 | +| door | 41.2 | 53.09 | +| table | 53.17 | 73.4 | +| mountain | 56.88 | 73.19 | +| plant | 49.14 | 64.75 | +| curtain | 69.93 | 83.04 | +| chair | 50.17 | 65.19 | +| car | 78.36 | 89.63 | +| water | 48.67 | 61.91 | +| painting | 66.0 | 85.26 | +| sofa | 62.9 | 80.52 | +| shelf | 40.29 | 56.85 | +| house | 46.06 | 64.19 | +| sea | 53.24 | 82.15 | +| mirror | 56.79 | 66.85 | +| rug | 56.6 | 66.71 | +| field | 36.53 | 52.4 | +| armchair | 38.0 | 51.22 | +| seat | 59.88 | 79.64 | +| fence | 38.12 | 56.91 | +| desk | 41.74 | 54.03 | +| rock | 44.39 | 56.3 | +| wardrobe | 44.69 | 60.13 | +| lamp | 55.26 | 69.71 | +| bathtub | 76.06 | 83.53 | +| railing | 27.5 | 40.17 | +| cushion | 49.38 | 67.9 | +| base | 21.82 | 29.56 | +| box | 20.77 | 32.36 | +| column | 37.6 | 47.64 | +| signboard | 36.99 | 50.94 | +| chest of drawers | 39.35 | 61.36 | +| counter | 28.59 | 36.56 | +| sand | 38.67 | 53.28 | +| sink | 60.03 | 74.53 | +| skyscraper | 57.21 | 70.17 | +| fireplace | 60.62 | 77.26 | +| refrigerator | 67.34 | 76.7 | +| grandstand | 42.21 | 66.83 | +| path | 20.78 | 27.35 | +| stairs | 28.09 | 37.17 | +| runway | 72.19 | 93.43 | +| case | 44.06 | 53.54 | +| pool table | 89.65 | 94.96 | +| pillow | 47.04 | 59.18 | +| screen door | 63.31 | 85.1 | +| stairway | 22.39 | 35.14 | +| river | 21.52 | 32.52 | +| bridge | 49.86 | 72.95 | +| bookcase | 35.01 | 52.01 | +| blind | 13.62 | 14.5 | +| coffee table | 57.1 | 75.79 | +| toilet | 77.12 | 86.49 | +| flower | 29.26 | 43.43 | +| book | 41.48 | 62.52 | +| hill | 11.6 | 24.37 | +| bench | 38.41 | 54.21 | +| countertop | 51.49 | 71.95 | +| stove | 60.61 | 77.62 | +| palm | 44.45 | 57.73 | +| kitchen island | 32.83 | 73.03 | +| computer | 56.31 | 66.86 | +| swivel chair | 37.42 | 55.93 | +| boat | 64.44 | 86.63 | +| bar | 38.27 | 46.28 | +| arcade machine | 30.46 | 32.46 | +| hovel | 34.45 | 55.89 | +| bus | 85.8 | 93.45 | +| towel | 54.28 | 72.57 | +| light | 37.08 | 41.85 | +| truck | 37.87 | 60.96 | +| tower | 33.97 | 57.83 | +| chandelier | 60.61 | 75.45 | +| awning | 22.92 | 24.87 | +| streetlight | 22.15 | 29.38 | +| booth | 42.59 | 56.67 | +| television receiver | 62.78 | 75.62 | +| airplane | 53.34 | 62.34 | +| dirt track | 5.19 | 9.47 | +| apparel | 30.77 | 44.27 | +| pole | 20.28 | 32.47 | +| land | 3.93 | 5.52 | +| bannister | 3.0 | 3.61 | +| escalator | 32.93 | 36.26 | +| ottoman | 38.98 | 57.25 | +| bottle | 30.91 | 40.79 | +| buffet | 51.27 | 63.3 | +| poster | 15.02 | 16.62 | +| stage | 8.61 | 14.74 | +| van | 18.99 | 21.13 | +| ship | 61.44 | 72.26 | +| fountain | 19.77 | 20.61 | +| conveyer belt | 66.57 | 91.55 | +| canopy | 20.41 | 28.25 | +| washer | 60.94 | 62.84 | +| plaything | 20.05 | 24.65 | +| swimming pool | 29.85 | 47.37 | +| stool | 39.53 | 49.12 | +| barrel | 46.3 | 85.4 | +| basket | 27.65 | 36.25 | +| waterfall | 73.07 | 91.23 | +| tent | 86.1 | 95.9 | +| bag | 10.82 | 11.69 | +| minibike | 71.55 | 83.22 | +| cradle | 70.96 | 93.53 | +| oven | 15.66 | 17.34 | +| ball | 32.59 | 37.96 | +| food | 54.99 | 73.24 | +| step | 2.31 | 2.6 | +| tank | 32.84 | 35.39 | +| trade name | 27.96 | 33.06 | +| microwave | 82.22 | 90.92 | +| pot | 42.84 | 51.36 | +| animal | 59.66 | 63.23 | +| bicycle | 56.84 | 77.75 | +| lake | 33.93 | 34.26 | +| dishwasher | 43.61 | 50.0 | +| screen | 58.92 | 71.28 | +| blanket | 0.8 | 0.83 | +| sculpture | 51.51 | 63.65 | +| hood | 41.29 | 45.12 | +| sconce | 25.98 | 32.03 | +| vase | 35.96 | 49.75 | +| traffic light | 28.53 | 37.98 | +| tray | 4.03 | 5.48 | +| ashcan | 33.58 | 44.57 | +| fan | 49.21 | 58.64 | +| pier | 45.48 | 57.33 | +| crt screen | 7.06 | 25.4 | +| plate | 47.84 | 59.16 | +| monitor | 5.22 | 5.5 | +| bulletin board | 30.39 | 33.39 | +| shower | 2.13 | 2.23 | +| radiator | 39.96 | 45.52 | +| glass | 12.72 | 13.96 | +| clock | 20.01 | 22.81 | +| flag | 47.84 | 53.51 | ++---------------------+-------+-------+ +2023/10/30 09:49:43 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4240 coco/bbox_mAP_50: 0.5920 coco/bbox_mAP_75: 0.4560 coco/bbox_mAP_s: 0.2610 coco/bbox_mAP_m: 0.4680 coco/bbox_mAP_l: 0.5600 coco/segm_mAP: 0.2840 coco/segm_mAP_50: 0.5090 coco/segm_mAP_75: 0.2780 coco/segm_mAP_s: 0.1380 coco/segm_mAP_m: 0.3250 coco/segm_mAP_l: 0.4470 Bleu_1: 0.7441 Bleu_2: 0.5744 Bleu_3: 0.4340 Bleu_4: 0.3262 METEOR: 0.2654 ROUGE_L: 0.5492 CIDEr: 1.0554 SPICE: 0.1950 aAcc: 80.7800 mIoU: 44.1500 mAcc: 56.0200 visual-grounding/miou: 0.6924 visual-grounding/acc: 0.7677 data_time: 0.0403 time: 0.5423 +2023/10/30 10:03:38 - mmengine - INFO - Iter(train) [260500/320000] base_lr: 1.8416e-05 lr: 8.4669e-06 eta: 1 day, 4:12:03 time: 1.7733 data_time: 0.1285 memory: 22138 grad_norm: 1.1878 loss: 1.2890 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3198 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7581 detection_loss_cls: 0.0531 detection_loss_reg: 0.4371 grounding_loss_reg: 3.2664 +2023/10/30 10:03:38 - mmengine - INFO - Saving checkpoint at 260500 iterations +2023/10/30 10:20:18 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 10:20:18 - mmengine - INFO - Iter(train) [261000/320000] base_lr: 1.8149e-05 lr: 8.3617e-06 eta: 1 day, 4:04:06 time: 1.7693 data_time: 0.1311 memory: 22138 grad_norm: 1.1879 loss: 1.2859 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3172 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7571 detection_loss_cls: 0.0531 detection_loss_reg: 0.4382 grounding_loss_reg: 3.2618 +2023/10/30 10:20:18 - mmengine - INFO - Saving checkpoint at 261000 iterations +2023/10/30 10:36:51 - mmengine - INFO - Iter(train) [261500/320000] base_lr: 1.7884e-05 lr: 8.2573e-06 eta: 1 day, 3:55:29 time: 1.7960 data_time: 0.1347 memory: 22138 grad_norm: 1.1999 loss: 1.2915 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3088 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7541 detection_loss_cls: 0.0528 detection_loss_reg: 0.4368 grounding_loss_reg: 3.2598 +2023/10/30 10:36:51 - mmengine - INFO - Saving checkpoint at 261500 iterations +2023/10/30 10:50:47 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 10:50:47 - mmengine - INFO - Iter(train) [262000/320000] base_lr: 1.7621e-05 lr: 8.1537e-06 eta: 1 day, 3:40:13 time: 1.7905 data_time: 0.1339 memory: 22138 grad_norm: 1.1979 loss: 1.2947 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3086 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7548 detection_loss_cls: 0.0526 detection_loss_reg: 0.4358 grounding_loss_reg: 3.2582 +2023/10/30 10:50:47 - mmengine - INFO - Saving checkpoint at 262000 iterations +2023/10/30 11:06:30 - mmengine - INFO - Iter(train) [262500/320000] base_lr: 1.7360e-05 lr: 8.0509e-06 eta: 1 day, 3:29:11 time: 1.8120 data_time: 0.1353 memory: 22138 grad_norm: 1.2086 loss: 1.3023 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3081 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7558 detection_loss_cls: 0.0529 detection_loss_reg: 0.4362 grounding_loss_reg: 3.2519 +2023/10/30 11:06:30 - mmengine - INFO - Saving checkpoint at 262500 iterations +2023/10/30 11:20:11 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 11:20:11 - mmengine - INFO - Iter(train) [263000/320000] base_lr: 1.7101e-05 lr: 7.9489e-06 eta: 1 day, 3:13:20 time: 1.7967 data_time: 0.1345 memory: 22138 grad_norm: 1.2291 loss: 1.3259 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3072 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7574 detection_loss_cls: 0.0529 detection_loss_reg: 0.4362 grounding_loss_reg: 3.2493 +2023/10/30 11:20:11 - mmengine - INFO - Saving checkpoint at 263000 iterations +2023/10/30 11:35:17 - mmengine - INFO - Iter(train) [263500/320000] base_lr: 1.6844e-05 lr: 7.8477e-06 eta: 1 day, 3:00:42 time: 1.8105 data_time: 0.1362 memory: 22138 grad_norm: 1.2204 loss: 1.3335 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3115 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7583 detection_loss_cls: 0.0529 detection_loss_reg: 0.4369 grounding_loss_reg: 3.2453 +2023/10/30 11:35:17 - mmengine - INFO - Saving checkpoint at 263500 iterations +2023/10/30 11:49:34 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 11:49:34 - mmengine - INFO - Iter(train) [264000/320000] base_lr: 1.6589e-05 lr: 7.7472e-06 eta: 1 day, 2:46:14 time: 1.7978 data_time: 0.1358 memory: 22138 grad_norm: 1.2256 loss: 1.3322 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3118 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7573 detection_loss_cls: 0.0530 detection_loss_reg: 0.4369 grounding_loss_reg: 3.2409 +2023/10/30 11:49:34 - mmengine - INFO - Saving checkpoint at 264000 iterations +2023/10/30 12:03:52 - mmengine - INFO - Iter(train) [264500/320000] base_lr: 1.6336e-05 lr: 7.6476e-06 eta: 1 day, 2:31:48 time: 1.8030 data_time: 0.1497 memory: 22138 grad_norm: 1.2319 loss: 1.3373 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3135 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.7560 detection_loss_cls: 0.0530 detection_loss_reg: 0.4372 grounding_loss_reg: 3.2379 +2023/10/30 12:03:52 - mmengine - INFO - Saving checkpoint at 264500 iterations +2023/10/30 12:21:14 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 12:21:14 - mmengine - INFO - Iter(train) [265000/320000] base_lr: 1.6085e-05 lr: 7.5488e-06 eta: 1 day, 2:23:36 time: 1.8133 data_time: 0.1476 memory: 22138 grad_norm: 1.2473 loss: 1.3505 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3097 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7535 detection_loss_cls: 0.0530 detection_loss_reg: 0.4375 grounding_loss_reg: 3.2342 +2023/10/30 12:21:14 - mmengine - INFO - Saving checkpoint at 265000 iterations +2023/10/30 12:35:56 - mmengine - INFO - Iter(train) [265500/320000] base_lr: 1.5837e-05 lr: 7.4508e-06 eta: 1 day, 2:09:48 time: 1.7856 data_time: 0.1452 memory: 22138 grad_norm: 1.2467 loss: 1.3483 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3128 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0529 detection_loss_reg: 0.4375 grounding_loss_reg: 3.2316 +2023/10/30 12:35:56 - mmengine - INFO - Saving checkpoint at 265500 iterations +2023/10/30 12:50:59 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 12:50:59 - mmengine - INFO - Iter(train) [266000/320000] base_lr: 1.5590e-05 lr: 7.3536e-06 eta: 1 day, 1:56:40 time: 1.8026 data_time: 0.1465 memory: 22138 grad_norm: 1.2497 loss: 1.3469 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3108 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7524 detection_loss_cls: 0.0529 detection_loss_reg: 0.4379 grounding_loss_reg: 3.2309 +2023/10/30 12:50:59 - mmengine - INFO - Saving checkpoint at 266000 iterations +2023/10/30 13:08:12 - mmengine - INFO - Iter(train) [266500/320000] base_lr: 1.5345e-05 lr: 7.2572e-06 eta: 1 day, 1:47:29 time: 1.8249 data_time: 0.1461 memory: 22138 grad_norm: 1.2434 loss: 1.3418 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3083 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7519 detection_loss_cls: 0.0533 detection_loss_reg: 0.4395 grounding_loss_reg: 3.2269 +2023/10/30 13:08:12 - mmengine - INFO - Saving checkpoint at 266500 iterations +2023/10/30 13:23:31 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 13:23:31 - mmengine - INFO - Iter(train) [267000/320000] base_lr: 1.5102e-05 lr: 7.1616e-06 eta: 1 day, 1:34:35 time: 1.8496 data_time: 0.1473 memory: 22138 grad_norm: 1.2294 loss: 1.3174 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3016 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0534 detection_loss_reg: 0.4403 grounding_loss_reg: 3.2271 +2023/10/30 13:23:31 - mmengine - INFO - Saving checkpoint at 267000 iterations +2023/10/30 13:41:14 - mmengine - INFO - Iter(train) [267500/320000] base_lr: 1.4862e-05 lr: 7.0668e-06 eta: 1 day, 1:25:51 time: 1.8887 data_time: 0.1467 memory: 22138 grad_norm: 1.2426 loss: 1.3109 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3021 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7489 detection_loss_cls: 0.0533 detection_loss_reg: 0.4393 grounding_loss_reg: 3.2258 +2023/10/30 13:41:14 - mmengine - INFO - Saving checkpoint at 267500 iterations +2023/10/30 13:57:49 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 13:57:49 - mmengine - INFO - Iter(train) [268000/320000] base_lr: 1.4623e-05 lr: 6.9728e-06 eta: 1 day, 1:14:52 time: 1.9232 data_time: 0.1472 memory: 22138 grad_norm: 1.2154 loss: 1.3041 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2963 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7483 detection_loss_cls: 0.0533 detection_loss_reg: 0.4390 grounding_loss_reg: 3.2247 +2023/10/30 13:57:49 - mmengine - INFO - Saving checkpoint at 268000 iterations +2023/10/30 14:14:05 - mmengine - INFO - Iter(train) [268500/320000] base_lr: 1.4387e-05 lr: 6.8797e-06 eta: 1 day, 1:03:10 time: 1.9526 data_time: 0.1479 memory: 22138 grad_norm: 1.2173 loss: 1.3000 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2948 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7498 detection_loss_cls: 0.0537 detection_loss_reg: 0.4418 grounding_loss_reg: 3.2214 +2023/10/30 14:14:05 - mmengine - INFO - Saving checkpoint at 268500 iterations +2023/10/30 14:29:22 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 14:29:22 - mmengine - INFO - Iter(train) [269000/320000] base_lr: 1.4153e-05 lr: 6.7874e-06 eta: 1 day, 0:49:43 time: 1.9217 data_time: 0.1466 memory: 22138 grad_norm: 1.2040 loss: 1.2944 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2988 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7533 detection_loss_cls: 0.0537 detection_loss_reg: 0.4424 grounding_loss_reg: 3.2179 +2023/10/30 14:29:22 - mmengine - INFO - Saving checkpoint at 269000 iterations +2023/10/30 14:43:29 - mmengine - INFO - Iter(train) [269500/320000] base_lr: 1.3920e-05 lr: 6.6959e-06 eta: 1 day, 0:34:19 time: 1.9129 data_time: 0.1447 memory: 22138 grad_norm: 1.2180 loss: 1.3006 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2942 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7529 detection_loss_cls: 0.0535 detection_loss_reg: 0.4414 grounding_loss_reg: 3.2155 +2023/10/30 14:43:30 - mmengine - INFO - Saving checkpoint at 269500 iterations +2023/10/30 14:58:34 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 14:58:34 - mmengine - INFO - Iter(train) [270000/320000] base_lr: 1.3690e-05 lr: 6.6053e-06 eta: 1 day, 0:20:28 time: 1.9131 data_time: 0.1435 memory: 22138 grad_norm: 1.2188 loss: 1.2946 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2995 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7531 detection_loss_cls: 0.0535 detection_loss_reg: 0.4425 grounding_loss_reg: 3.2147 +2023/10/30 14:58:34 - mmengine - INFO - Saving checkpoint at 270000 iterations +2023/10/30 15:03:18 - mmengine - INFO - Evaluating bbox... +2023/10/30 15:04:23 - mmengine - INFO - bbox_mAP_copypaste: 0.428 0.599 0.460 0.265 0.470 0.565 +2023/10/30 15:04:23 - mmengine - INFO - Evaluating segm... +2023/10/30 15:05:39 - mmengine - INFO - segm_mAP_copypaste: 0.286 0.515 0.278 0.143 0.325 0.452 +2023/10/30 15:07:01 - mmengine - INFO - Evaluating bbox... +2023/10/30 15:08:07 - mmengine - INFO - bbox_mAP_copypaste: 0.428 0.599 0.461 0.266 0.472 0.565 +2023/10/30 15:10:30 - mmengine - INFO - per class results: +2023/10/30 15:10:30 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.72 | 86.09 | +| building | 80.55 | 91.38 | +| sky | 93.09 | 97.27 | +| floor | 79.27 | 87.65 | +| tree | 71.99 | 85.12 | +| ceiling | 79.96 | 91.91 | +| road | 82.2 | 87.17 | +| bed | 85.78 | 94.59 | +| windowpane | 58.24 | 75.73 | +| grass | 69.92 | 85.47 | +| cabinet | 57.55 | 71.54 | +| sidewalk | 60.51 | 78.0 | +| person | 77.74 | 90.19 | +| earth | 39.06 | 53.46 | +| door | 40.44 | 52.94 | +| table | 54.26 | 72.64 | +| mountain | 57.84 | 75.67 | +| plant | 50.92 | 66.42 | +| curtain | 68.32 | 86.2 | +| chair | 50.74 | 69.45 | +| car | 79.16 | 90.19 | +| water | 56.61 | 72.52 | +| painting | 63.83 | 86.84 | +| sofa | 63.79 | 79.52 | +| shelf | 42.71 | 61.19 | +| house | 41.44 | 54.87 | +| sea | 56.31 | 75.2 | +| mirror | 56.22 | 65.3 | +| rug | 60.31 | 72.13 | +| field | 38.22 | 52.21 | +| armchair | 38.41 | 51.18 | +| seat | 63.13 | 81.4 | +| fence | 38.71 | 60.31 | +| desk | 44.82 | 61.74 | +| rock | 44.32 | 61.09 | +| wardrobe | 44.47 | 61.13 | +| lamp | 54.47 | 70.16 | +| bathtub | 75.69 | 82.67 | +| railing | 26.64 | 38.91 | +| cushion | 49.95 | 65.65 | +| base | 20.39 | 29.52 | +| box | 20.91 | 25.39 | +| column | 39.15 | 47.7 | +| signboard | 35.34 | 45.24 | +| chest of drawers | 40.42 | 55.12 | +| counter | 22.82 | 29.77 | +| sand | 34.11 | 50.44 | +| sink | 61.3 | 73.0 | +| skyscraper | 55.3 | 73.3 | +| fireplace | 60.44 | 75.66 | +| refrigerator | 64.96 | 80.3 | +| grandstand | 37.24 | 61.16 | +| path | 22.15 | 30.96 | +| stairs | 28.25 | 36.38 | +| runway | 71.33 | 91.66 | +| case | 46.02 | 53.67 | +| pool table | 89.82 | 95.1 | +| pillow | 45.63 | 56.34 | +| screen door | 48.05 | 56.66 | +| stairway | 26.15 | 39.53 | +| river | 18.38 | 22.21 | +| bridge | 53.79 | 85.45 | +| bookcase | 31.56 | 45.08 | +| blind | 27.65 | 30.48 | +| coffee table | 55.25 | 75.86 | +| toilet | 80.28 | 86.89 | +| flower | 32.49 | 51.08 | +| book | 43.02 | 65.19 | +| hill | 12.55 | 19.38 | +| bench | 35.87 | 47.48 | +| countertop | 50.56 | 67.54 | +| stove | 61.14 | 78.77 | +| palm | 44.22 | 61.63 | +| kitchen island | 34.35 | 74.15 | +| computer | 58.41 | 67.12 | +| swivel chair | 39.14 | 59.96 | +| boat | 66.44 | 86.43 | +| bar | 36.77 | 48.35 | +| arcade machine | 40.7 | 44.65 | +| hovel | 26.5 | 30.96 | +| bus | 87.29 | 95.47 | +| towel | 56.28 | 69.58 | +| light | 39.17 | 45.55 | +| truck | 40.23 | 59.55 | +| tower | 28.06 | 39.94 | +| chandelier | 59.32 | 81.8 | +| awning | 27.43 | 36.31 | +| streetlight | 21.59 | 28.48 | +| booth | 38.58 | 41.19 | +| television receiver | 60.93 | 76.16 | +| airplane | 53.34 | 63.22 | +| dirt track | 8.87 | 17.29 | +| apparel | 29.94 | 40.96 | +| pole | 20.54 | 30.22 | +| land | 3.74 | 5.94 | +| bannister | 5.04 | 7.95 | +| escalator | 53.24 | 71.14 | +| ottoman | 41.55 | 54.51 | +| bottle | 25.3 | 32.76 | +| buffet | 43.14 | 48.13 | +| poster | 17.24 | 20.42 | +| stage | 9.04 | 17.22 | +| van | 21.68 | 24.93 | +| ship | 64.14 | 82.05 | +| fountain | 21.48 | 22.07 | +| conveyer belt | 57.49 | 91.13 | +| canopy | 19.19 | 26.52 | +| washer | 62.51 | 65.15 | +| plaything | 25.13 | 34.07 | +| swimming pool | 36.61 | 45.35 | +| stool | 39.64 | 53.04 | +| barrel | 14.14 | 86.18 | +| basket | 29.21 | 39.3 | +| waterfall | 74.82 | 85.67 | +| tent | 77.21 | 96.96 | +| bag | 17.13 | 19.48 | +| minibike | 69.69 | 83.21 | +| cradle | 71.27 | 93.96 | +| oven | 11.88 | 13.54 | +| ball | 47.41 | 62.81 | +| food | 55.51 | 75.27 | +| step | 3.45 | 3.9 | +| tank | 33.76 | 41.85 | +| trade name | 26.32 | 29.59 | +| microwave | 81.96 | 91.74 | +| pot | 42.89 | 50.33 | +| animal | 58.52 | 61.8 | +| bicycle | 56.5 | 79.98 | +| lake | 51.53 | 65.59 | +| dishwasher | 46.43 | 59.28 | +| screen | 62.76 | 84.94 | +| blanket | 1.2 | 1.22 | +| sculpture | 47.87 | 59.32 | +| hood | 43.6 | 49.58 | +| sconce | 30.41 | 39.46 | +| vase | 35.05 | 50.09 | +| traffic light | 27.72 | 35.48 | +| tray | 5.93 | 8.1 | +| ashcan | 35.63 | 46.17 | +| fan | 46.49 | 55.92 | +| pier | 55.85 | 71.68 | +| crt screen | 5.33 | 11.28 | +| plate | 49.29 | 60.16 | +| monitor | 4.71 | 6.75 | +| bulletin board | 34.18 | 44.5 | +| shower | 3.91 | 8.18 | +| radiator | 41.35 | 46.56 | +| glass | 13.39 | 14.73 | +| clock | 20.2 | 23.2 | +| flag | 44.92 | 51.47 | ++---------------------+-------+-------+ +2023/10/30 15:10:42 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4280 coco/bbox_mAP_50: 0.5990 coco/bbox_mAP_75: 0.4610 coco/bbox_mAP_s: 0.2660 coco/bbox_mAP_m: 0.4720 coco/bbox_mAP_l: 0.5650 coco/segm_mAP: 0.2860 coco/segm_mAP_50: 0.5150 coco/segm_mAP_75: 0.2780 coco/segm_mAP_s: 0.1430 coco/segm_mAP_m: 0.3250 coco/segm_mAP_l: 0.4520 Bleu_1: 0.7460 Bleu_2: 0.5757 Bleu_3: 0.4338 Bleu_4: 0.3242 METEOR: 0.2655 ROUGE_L: 0.5489 CIDEr: 1.0483 SPICE: 0.1956 aAcc: 81.0800 mIoU: 44.5800 mAcc: 56.9100 visual-grounding/miou: 0.6989 visual-grounding/acc: 0.7738 data_time: 0.0473 time: 0.5480 +2023/10/30 15:23:10 - mmengine - INFO - Iter(train) [270500/320000] base_lr: 1.3462e-05 lr: 6.5154e-06 eta: 1 day, 0:02:41 time: 1.8429 data_time: 0.1290 memory: 22138 grad_norm: 1.2318 loss: 1.3014 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.2980 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7538 detection_loss_cls: 0.0534 detection_loss_reg: 0.4417 grounding_loss_reg: 3.2108 +2023/10/30 15:23:10 - mmengine - INFO - Saving checkpoint at 270500 iterations +2023/10/30 15:39:08 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 15:39:08 - mmengine - INFO - Iter(train) [271000/320000] base_lr: 1.3236e-05 lr: 6.4264e-06 eta: 23:50:10 time: 1.8525 data_time: 0.1365 memory: 22138 grad_norm: 1.2414 loss: 1.3082 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3011 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7560 detection_loss_cls: 0.0534 detection_loss_reg: 0.4414 grounding_loss_reg: 3.2056 +2023/10/30 15:39:08 - mmengine - INFO - Saving checkpoint at 271000 iterations +2023/10/30 15:53:41 - mmengine - INFO - Iter(train) [271500/320000] base_lr: 1.3012e-05 lr: 6.3383e-06 eta: 23:35:30 time: 1.8050 data_time: 0.1349 memory: 22138 grad_norm: 1.2351 loss: 1.3169 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3055 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7565 detection_loss_cls: 0.0534 detection_loss_reg: 0.4397 grounding_loss_reg: 3.2046 +2023/10/30 15:53:41 - mmengine - INFO - Saving checkpoint at 271500 iterations +2023/10/30 16:08:12 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 16:08:12 - mmengine - INFO - Iter(train) [272000/320000] base_lr: 1.2791e-05 lr: 6.2509e-06 eta: 23:20:48 time: 1.7741 data_time: 0.1343 memory: 22138 grad_norm: 1.2518 loss: 1.3222 semantic_segmentation_loss_cls: 0.0119 caption_loss_cls: 2.3051 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7550 detection_loss_cls: 0.0533 detection_loss_reg: 0.4389 grounding_loss_reg: 3.2073 +2023/10/30 16:08:12 - mmengine - INFO - Saving checkpoint at 272000 iterations +2023/10/30 16:22:32 - mmengine - INFO - Iter(train) [272500/320000] base_lr: 1.2571e-05 lr: 6.1644e-06 eta: 23:05:51 time: 1.7451 data_time: 0.1336 memory: 22138 grad_norm: 1.2668 loss: 1.3331 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3073 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7558 detection_loss_cls: 0.0533 detection_loss_reg: 0.4380 grounding_loss_reg: 3.2009 +2023/10/30 16:22:32 - mmengine - INFO - Saving checkpoint at 272500 iterations +2023/10/30 16:40:45 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 16:40:45 - mmengine - INFO - Iter(train) [273000/320000] base_lr: 1.2354e-05 lr: 6.0788e-06 eta: 22:56:07 time: 1.7889 data_time: 0.1391 memory: 22138 grad_norm: 1.2590 loss: 1.3253 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3048 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7558 detection_loss_cls: 0.0533 detection_loss_reg: 0.4378 grounding_loss_reg: 3.1963 +2023/10/30 16:40:45 - mmengine - INFO - Saving checkpoint at 273000 iterations +2023/10/30 16:55:18 - mmengine - INFO - Iter(train) [273500/320000] base_lr: 1.2139e-05 lr: 5.9940e-06 eta: 22:41:21 time: 1.7954 data_time: 0.1387 memory: 22138 grad_norm: 1.2555 loss: 1.3217 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3082 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7530 detection_loss_cls: 0.0531 detection_loss_reg: 0.4369 grounding_loss_reg: 3.1956 +2023/10/30 16:55:18 - mmengine - INFO - Saving checkpoint at 273500 iterations +2023/10/30 17:10:20 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 17:10:20 - mmengine - INFO - Iter(train) [274000/320000] base_lr: 1.1925e-05 lr: 5.9100e-06 eta: 22:27:13 time: 1.7946 data_time: 0.1401 memory: 22138 grad_norm: 1.2739 loss: 1.3399 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3067 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7563 detection_loss_cls: 0.0533 detection_loss_reg: 0.4389 grounding_loss_reg: 3.1918 +2023/10/30 17:10:20 - mmengine - INFO - Saving checkpoint at 274000 iterations +2023/10/30 17:25:10 - mmengine - INFO - Iter(train) [274500/320000] base_lr: 1.1714e-05 lr: 5.8269e-06 eta: 22:12:48 time: 1.8293 data_time: 0.1540 memory: 22138 grad_norm: 1.2542 loss: 1.3297 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3108 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7541 detection_loss_cls: 0.0532 detection_loss_reg: 0.4388 grounding_loss_reg: 3.1896 +2023/10/30 17:25:10 - mmengine - INFO - Saving checkpoint at 274500 iterations +2023/10/30 17:40:09 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 17:40:09 - mmengine - INFO - Iter(train) [275000/320000] base_lr: 1.1505e-05 lr: 5.7446e-06 eta: 21:58:34 time: 1.8146 data_time: 0.1456 memory: 22138 grad_norm: 1.2620 loss: 1.3240 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3108 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7529 detection_loss_cls: 0.0535 detection_loss_reg: 0.4402 grounding_loss_reg: 3.1854 +2023/10/30 17:40:09 - mmengine - INFO - Saving checkpoint at 275000 iterations +2023/10/30 17:55:20 - mmengine - INFO - Iter(train) [275500/320000] base_lr: 1.1299e-05 lr: 5.6632e-06 eta: 21:44:32 time: 1.8242 data_time: 0.1461 memory: 22138 grad_norm: 1.2633 loss: 1.3118 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3077 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7538 detection_loss_cls: 0.0535 detection_loss_reg: 0.4406 grounding_loss_reg: 3.1813 +2023/10/30 17:55:20 - mmengine - INFO - Saving checkpoint at 275500 iterations +2023/10/30 18:12:17 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 18:12:17 - mmengine - INFO - Iter(train) [276000/320000] base_lr: 1.1094e-05 lr: 5.5826e-06 eta: 21:32:32 time: 1.8606 data_time: 0.1513 memory: 22138 grad_norm: 1.2715 loss: 1.3149 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3033 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7535 detection_loss_cls: 0.0533 detection_loss_reg: 0.4394 grounding_loss_reg: 3.1760 +2023/10/30 18:12:17 - mmengine - INFO - Saving checkpoint at 276000 iterations +2023/10/30 18:27:27 - mmengine - INFO - Iter(train) [276500/320000] base_lr: 1.0892e-05 lr: 5.5029e-06 eta: 21:18:23 time: 1.8733 data_time: 0.1510 memory: 22138 grad_norm: 1.2524 loss: 1.2986 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.3018 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7545 detection_loss_cls: 0.0532 detection_loss_reg: 0.4403 grounding_loss_reg: 3.1755 +2023/10/30 18:27:27 - mmengine - INFO - Saving checkpoint at 276500 iterations +2023/10/30 18:42:59 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 18:42:59 - mmengine - INFO - Iter(train) [277000/320000] base_lr: 1.0692e-05 lr: 5.4240e-06 eta: 21:04:37 time: 1.8331 data_time: 0.1471 memory: 22138 grad_norm: 1.2550 loss: 1.3035 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2982 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.7554 detection_loss_cls: 0.0535 detection_loss_reg: 0.4416 grounding_loss_reg: 3.1759 +2023/10/30 18:42:59 - mmengine - INFO - Saving checkpoint at 277000 iterations +2023/10/30 18:57:53 - mmengine - INFO - Iter(train) [277500/320000] base_lr: 1.0494e-05 lr: 5.3460e-06 eta: 20:50:07 time: 1.8384 data_time: 0.1481 memory: 22138 grad_norm: 1.2527 loss: 1.3006 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2973 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7528 detection_loss_cls: 0.0532 detection_loss_reg: 0.4406 grounding_loss_reg: 3.1713 +2023/10/30 18:57:53 - mmengine - INFO - Saving checkpoint at 277500 iterations +2023/10/30 19:12:26 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 19:12:26 - mmengine - INFO - Iter(train) [278000/320000] base_lr: 1.0298e-05 lr: 5.2688e-06 eta: 20:35:14 time: 1.8310 data_time: 0.1459 memory: 22138 grad_norm: 1.2335 loss: 1.2808 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2869 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7529 detection_loss_cls: 0.0533 detection_loss_reg: 0.4411 grounding_loss_reg: 3.1714 +2023/10/30 19:12:26 - mmengine - INFO - Saving checkpoint at 278000 iterations +2023/10/30 19:27:22 - mmengine - INFO - Iter(train) [278500/320000] base_lr: 1.0104e-05 lr: 5.1925e-06 eta: 20:20:45 time: 1.8324 data_time: 0.1460 memory: 22138 grad_norm: 1.2619 loss: 1.2851 semantic_segmentation_loss_cls: 0.0118 caption_loss_cls: 2.2810 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7517 detection_loss_cls: 0.0531 detection_loss_reg: 0.4401 grounding_loss_reg: 3.1705 +2023/10/30 19:27:22 - mmengine - INFO - Saving checkpoint at 278500 iterations +2023/10/30 19:42:01 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 19:42:01 - mmengine - INFO - Iter(train) [279000/320000] base_lr: 9.9127e-06 lr: 5.1171e-06 eta: 20:05:59 time: 1.8274 data_time: 0.1460 memory: 22138 grad_norm: 1.2473 loss: 1.2890 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2810 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7515 detection_loss_cls: 0.0527 detection_loss_reg: 0.4392 grounding_loss_reg: 3.1655 +2023/10/30 19:42:01 - mmengine - INFO - Saving checkpoint at 279000 iterations +2023/10/30 19:56:58 - mmengine - INFO - Iter(train) [279500/320000] base_lr: 9.7234e-06 lr: 5.0425e-06 eta: 19:51:30 time: 1.8239 data_time: 0.1457 memory: 22138 grad_norm: 1.2541 loss: 1.2941 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2781 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7523 detection_loss_cls: 0.0528 detection_loss_reg: 0.4394 grounding_loss_reg: 3.1595 +2023/10/30 19:56:58 - mmengine - INFO - Saving checkpoint at 279500 iterations +2023/10/30 20:11:47 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 20:11:47 - mmengine - INFO - Iter(train) [280000/320000] base_lr: 9.5363e-06 lr: 4.9688e-06 eta: 19:36:54 time: 1.7922 data_time: 0.1403 memory: 22138 grad_norm: 1.2497 loss: 1.2940 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2774 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7540 detection_loss_cls: 0.0529 detection_loss_reg: 0.4397 grounding_loss_reg: 3.1561 +2023/10/30 20:11:47 - mmengine - INFO - Saving checkpoint at 280000 iterations +2023/10/30 20:16:25 - mmengine - INFO - Evaluating bbox... +2023/10/30 20:17:25 - mmengine - INFO - bbox_mAP_copypaste: 0.430 0.602 0.463 0.267 0.470 0.574 +2023/10/30 20:17:25 - mmengine - INFO - Evaluating segm... +2023/10/30 20:18:42 - mmengine - INFO - segm_mAP_copypaste: 0.289 0.520 0.282 0.146 0.330 0.455 +2023/10/30 20:19:58 - mmengine - INFO - Evaluating bbox... +2023/10/30 20:21:04 - mmengine - INFO - bbox_mAP_copypaste: 0.431 0.603 0.466 0.266 0.473 0.574 +2023/10/30 20:23:13 - mmengine - INFO - per class results: +2023/10/30 20:23:13 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.54 | 86.65 | +| building | 80.55 | 90.68 | +| sky | 92.93 | 97.08 | +| floor | 78.35 | 88.81 | +| tree | 71.63 | 86.84 | +| ceiling | 79.95 | 92.97 | +| road | 81.75 | 88.86 | +| bed | 85.36 | 94.87 | +| windowpane | 57.47 | 76.17 | +| grass | 69.12 | 84.51 | +| cabinet | 55.53 | 65.99 | +| sidewalk | 60.35 | 75.01 | +| person | 77.77 | 88.84 | +| earth | 40.21 | 53.9 | +| door | 42.09 | 56.86 | +| table | 55.51 | 71.06 | +| mountain | 56.21 | 67.11 | +| plant | 49.1 | 61.76 | +| curtain | 68.5 | 84.28 | +| chair | 48.78 | 61.22 | +| car | 78.27 | 89.32 | +| water | 50.59 | 64.81 | +| painting | 67.14 | 84.85 | +| sofa | 62.98 | 80.82 | +| shelf | 40.4 | 61.52 | +| house | 44.88 | 63.55 | +| sea | 57.43 | 76.64 | +| mirror | 57.68 | 67.94 | +| rug | 55.54 | 61.73 | +| field | 39.23 | 56.64 | +| armchair | 39.75 | 59.37 | +| seat | 61.75 | 75.84 | +| fence | 38.2 | 53.49 | +| desk | 43.92 | 64.91 | +| rock | 53.65 | 74.41 | +| wardrobe | 47.78 | 66.42 | +| lamp | 54.64 | 68.27 | +| bathtub | 74.7 | 79.72 | +| railing | 26.25 | 38.21 | +| cushion | 49.45 | 61.62 | +| base | 20.1 | 29.36 | +| box | 22.51 | 28.65 | +| column | 39.4 | 49.09 | +| signboard | 35.05 | 45.79 | +| chest of drawers | 39.67 | 62.24 | +| counter | 25.57 | 32.51 | +| sand | 35.16 | 51.51 | +| sink | 60.22 | 74.03 | +| skyscraper | 55.87 | 73.75 | +| fireplace | 61.11 | 76.91 | +| refrigerator | 64.72 | 82.32 | +| grandstand | 36.58 | 66.41 | +| path | 21.77 | 32.78 | +| stairs | 28.76 | 38.07 | +| runway | 71.07 | 92.01 | +| case | 45.78 | 54.57 | +| pool table | 89.5 | 95.21 | +| pillow | 43.84 | 52.43 | +| screen door | 54.48 | 68.39 | +| stairway | 26.36 | 37.34 | +| river | 18.05 | 43.98 | +| bridge | 50.25 | 74.72 | +| bookcase | 33.46 | 54.69 | +| blind | 18.82 | 20.07 | +| coffee table | 55.6 | 68.99 | +| toilet | 80.06 | 86.25 | +| flower | 31.08 | 44.34 | +| book | 43.34 | 62.91 | +| hill | 12.29 | 21.67 | +| bench | 38.64 | 54.01 | +| countertop | 52.97 | 66.55 | +| stove | 63.36 | 72.89 | +| palm | 45.68 | 58.84 | +| kitchen island | 34.12 | 59.5 | +| computer | 58.22 | 68.67 | +| swivel chair | 39.24 | 61.99 | +| boat | 67.25 | 86.99 | +| bar | 52.8 | 68.34 | +| arcade machine | 35.86 | 38.8 | +| hovel | 31.29 | 37.56 | +| bus | 85.35 | 94.19 | +| towel | 57.93 | 71.5 | +| light | 36.17 | 41.11 | +| truck | 32.61 | 62.4 | +| tower | 29.56 | 45.54 | +| chandelier | 59.21 | 70.39 | +| awning | 24.81 | 27.61 | +| streetlight | 21.83 | 27.36 | +| booth | 38.68 | 48.03 | +| television receiver | 64.16 | 81.33 | +| airplane | 52.93 | 63.05 | +| dirt track | 8.94 | 17.08 | +| apparel | 29.42 | 44.12 | +| pole | 22.52 | 34.16 | +| land | 3.52 | 4.97 | +| bannister | 3.09 | 3.73 | +| escalator | 47.88 | 78.96 | +| ottoman | 41.79 | 52.45 | +| bottle | 30.05 | 39.15 | +| buffet | 44.82 | 52.23 | +| poster | 18.99 | 23.67 | +| stage | 10.78 | 17.82 | +| van | 21.41 | 24.56 | +| ship | 20.8 | 23.28 | +| fountain | 21.06 | 21.87 | +| conveyer belt | 57.91 | 92.62 | +| canopy | 15.45 | 18.95 | +| washer | 67.53 | 71.64 | +| plaything | 22.92 | 28.14 | +| swimming pool | 43.29 | 65.82 | +| stool | 38.26 | 48.59 | +| barrel | 34.64 | 84.94 | +| basket | 28.46 | 41.13 | +| waterfall | 72.99 | 84.36 | +| tent | 84.44 | 96.25 | +| bag | 13.59 | 14.6 | +| minibike | 69.0 | 83.05 | +| cradle | 67.17 | 87.15 | +| oven | 26.69 | 34.12 | +| ball | 41.96 | 52.63 | +| food | 53.51 | 66.47 | +| step | 1.31 | 1.42 | +| tank | 28.57 | 34.24 | +| trade name | 25.57 | 28.95 | +| microwave | 81.87 | 90.86 | +| pot | 40.63 | 47.15 | +| animal | 56.76 | 61.94 | +| bicycle | 57.06 | 76.02 | +| lake | 4.82 | 4.86 | +| dishwasher | 48.2 | 61.91 | +| screen | 64.4 | 82.15 | +| blanket | 1.21 | 1.26 | +| sculpture | 41.41 | 55.55 | +| hood | 43.88 | 47.97 | +| sconce | 22.85 | 26.89 | +| vase | 35.15 | 47.21 | +| traffic light | 25.38 | 32.91 | +| tray | 7.84 | 12.3 | +| ashcan | 35.28 | 48.53 | +| fan | 44.44 | 52.5 | +| pier | 58.91 | 76.65 | +| crt screen | 7.89 | 21.26 | +| plate | 50.67 | 62.41 | +| monitor | 4.54 | 6.91 | +| bulletin board | 37.79 | 46.75 | +| shower | 3.14 | 4.35 | +| radiator | 44.09 | 50.67 | +| glass | 12.32 | 13.19 | +| clock | 19.76 | 22.67 | +| flag | 54.23 | 60.09 | ++---------------------+-------+-------+ +2023/10/30 20:23:24 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4310 coco/bbox_mAP_50: 0.6030 coco/bbox_mAP_75: 0.4660 coco/bbox_mAP_s: 0.2660 coco/bbox_mAP_m: 0.4730 coco/bbox_mAP_l: 0.5740 coco/segm_mAP: 0.2890 coco/segm_mAP_50: 0.5200 coco/segm_mAP_75: 0.2820 coco/segm_mAP_s: 0.1460 coco/segm_mAP_m: 0.3300 coco/segm_mAP_l: 0.4550 Bleu_1: 0.7522 Bleu_2: 0.5829 Bleu_3: 0.4418 Bleu_4: 0.3334 METEOR: 0.2674 ROUGE_L: 0.5535 CIDEr: 1.0763 SPICE: 0.1973 aAcc: 80.8900 mIoU: 44.2300 mAcc: 56.2600 visual-grounding/miou: 0.7041 visual-grounding/acc: 0.7775 data_time: 0.0464 time: 0.5367 +2023/10/30 20:37:20 - mmengine - INFO - Iter(train) [280500/320000] base_lr: 9.3514e-06 lr: 4.8960e-06 eta: 19:21:30 time: 1.7741 data_time: 0.1271 memory: 22138 grad_norm: 1.2543 loss: 1.2986 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2780 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7568 detection_loss_cls: 0.0524 detection_loss_reg: 0.4376 grounding_loss_reg: 3.1518 +2023/10/30 20:37:20 - mmengine - INFO - Saving checkpoint at 280500 iterations +2023/10/30 20:54:35 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 20:54:35 - mmengine - INFO - Iter(train) [281000/320000] base_lr: 9.1688e-06 lr: 4.8241e-06 eta: 19:09:07 time: 1.8000 data_time: 0.1299 memory: 22138 grad_norm: 1.2679 loss: 1.2999 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2779 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7578 detection_loss_cls: 0.0522 detection_loss_reg: 0.4367 grounding_loss_reg: 3.1500 +2023/10/30 20:54:35 - mmengine - INFO - Saving checkpoint at 281000 iterations +2023/10/30 21:11:28 - mmengine - INFO - Iter(train) [281500/320000] base_lr: 8.9883e-06 lr: 4.7530e-06 eta: 18:56:17 time: 1.8297 data_time: 0.1304 memory: 22138 grad_norm: 1.2601 loss: 1.2967 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2755 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7581 detection_loss_cls: 0.0525 detection_loss_reg: 0.4381 grounding_loss_reg: 3.1496 +2023/10/30 21:11:29 - mmengine - INFO - Saving checkpoint at 281500 iterations +2023/10/30 21:26:55 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 21:26:55 - mmengine - INFO - Iter(train) [282000/320000] base_lr: 8.8101e-06 lr: 4.6828e-06 eta: 18:42:07 time: 1.8432 data_time: 0.1316 memory: 22138 grad_norm: 1.2846 loss: 1.3134 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2711 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7579 detection_loss_cls: 0.0525 detection_loss_reg: 0.4386 grounding_loss_reg: 3.1479 +2023/10/30 21:26:55 - mmengine - INFO - Saving checkpoint at 282000 iterations +2023/10/30 21:41:49 - mmengine - INFO - Iter(train) [282500/320000] base_lr: 8.6341e-06 lr: 4.6134e-06 eta: 18:27:28 time: 1.8428 data_time: 0.1379 memory: 22138 grad_norm: 1.2733 loss: 1.3100 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2678 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7576 detection_loss_cls: 0.0524 detection_loss_reg: 0.4372 grounding_loss_reg: 3.1484 +2023/10/30 21:41:49 - mmengine - INFO - Saving checkpoint at 282500 iterations +2023/10/30 21:56:16 - mmengine - INFO - Exp name: univision_joint_all_20231029_222155 +2023/10/30 21:56:16 - mmengine - INFO - Iter(train) [283000/320000] base_lr: 8.4603e-06 lr: 4.5450e-06 eta: 18:12:26 time: 1.8397 data_time: 0.1376 memory: 22138 grad_norm: 1.2879 loss: 1.3096 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2664 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7564 detection_loss_cls: 0.0524 detection_loss_reg: 0.4369 grounding_loss_reg: 3.1461 +2023/10/30 21:56:16 - mmengine - INFO - Saving checkpoint at 283000 iterations +2023/10/30 22:10:44 - mmengine - INFO - Iter(train) [283500/320000] base_lr: 8.2887e-06 lr: 4.4774e-06 eta: 17:57:26 time: 1.8326 data_time: 0.1382 memory: 22138 grad_norm: 1.2926 loss: 1.3207 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2688 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7551 detection_loss_cls: 0.0522 detection_loss_reg: 0.4364 grounding_loss_reg: 3.1425 +2023/10/30 22:10:44 - mmengine - INFO - Saving checkpoint at 283500 iterations +2023/10/31 07:03:09 - mmengine - INFO - Iter(train) [284000/320000] base_lr: 8.1194e-06 lr: 4.4107e-06 eta: 12:23:56 time: 1.7652 data_time: 0.1253 memory: 22133 grad_norm: 1.3235 loss: 1.3184 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2697 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7544 detection_loss_cls: 0.0525 detection_loss_reg: 0.4375 grounding_loss_reg: 3.1369 +2023/10/31 07:03:09 - mmengine - INFO - Saving checkpoint at 284000 iterations +2023/10/31 07:14:48 - mmengine - INFO - Iter(train) [284500/320000] base_lr: 7.9523e-06 lr: 4.3448e-06 eta: 13:00:09 time: 1.7303 data_time: 0.1377 memory: 22133 grad_norm: 1.3987 loss: 1.3376 semantic_segmentation_loss_cls: 0.0117 caption_loss_cls: 2.2674 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7520 detection_loss_cls: 0.0527 detection_loss_reg: 0.4389 grounding_loss_reg: 3.1307 +2023/10/31 07:14:48 - mmengine - INFO - Saving checkpoint at 284500 iterations +2023/10/31 07:26:48 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 07:26:48 - mmengine - INFO - Iter(train) [285000/320000] base_lr: 7.7875e-06 lr: 4.2799e-06 eta: 13:12:27 time: 1.6513 data_time: 0.1327 memory: 22133 grad_norm: 1.4180 loss: 1.3353 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2683 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7541 detection_loss_cls: 0.0528 detection_loss_reg: 0.4388 grounding_loss_reg: 3.1229 +2023/10/31 07:26:48 - mmengine - INFO - Saving checkpoint at 285000 iterations +2023/10/31 07:40:26 - mmengine - INFO - Iter(train) [285500/320000] base_lr: 7.6249e-06 lr: 4.2159e-06 eta: 13:41:06 time: 1.6027 data_time: 0.1321 memory: 22133 grad_norm: 1.4533 loss: 1.3391 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2635 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7553 detection_loss_cls: 0.0523 detection_loss_reg: 0.4359 grounding_loss_reg: 3.1219 +2023/10/31 07:40:26 - mmengine - INFO - Saving checkpoint at 285500 iterations +2023/10/31 07:53:05 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 07:53:05 - mmengine - INFO - Iter(train) [286000/320000] base_lr: 7.4645e-06 lr: 4.1527e-06 eta: 13:39:18 time: 1.5608 data_time: 0.1310 memory: 22133 grad_norm: 1.4701 loss: 1.3404 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2609 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.7550 detection_loss_cls: 0.0523 detection_loss_reg: 0.4375 grounding_loss_reg: 3.1174 +2023/10/31 07:53:05 - mmengine - INFO - Saving checkpoint at 286000 iterations +2023/10/31 08:06:57 - mmengine - INFO - Iter(train) [286500/320000] base_lr: 7.3064e-06 lr: 4.0904e-06 eta: 13:47:27 time: 1.5452 data_time: 0.1237 memory: 22133 grad_norm: 1.4948 loss: 1.3439 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2565 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7559 detection_loss_cls: 0.0523 detection_loss_reg: 0.4359 grounding_loss_reg: 3.1134 +2023/10/31 08:06:57 - mmengine - INFO - Saving checkpoint at 286500 iterations +2023/10/31 08:20:29 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 08:20:29 - mmengine - INFO - Iter(train) [287000/320000] base_lr: 7.1506e-06 lr: 4.0290e-06 eta: 13:46:15 time: 1.5315 data_time: 0.1236 memory: 22133 grad_norm: 1.5411 loss: 1.3571 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2537 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7550 detection_loss_cls: 0.0519 detection_loss_reg: 0.4350 grounding_loss_reg: 3.1070 +2023/10/31 08:20:29 - mmengine - INFO - Saving checkpoint at 287000 iterations +2023/10/31 08:34:09 - mmengine - INFO - Iter(train) [287500/320000] base_lr: 6.9970e-06 lr: 3.9685e-06 eta: 13:42:58 time: 1.5194 data_time: 0.1241 memory: 22133 grad_norm: 1.5863 loss: 1.3562 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2528 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7544 detection_loss_cls: 0.0520 detection_loss_reg: 0.4354 grounding_loss_reg: 3.1024 +2023/10/31 08:34:09 - mmengine - INFO - Saving checkpoint at 287500 iterations +2023/10/31 08:48:45 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 08:48:45 - mmengine - INFO - Iter(train) [288000/320000] base_lr: 6.8457e-06 lr: 3.9089e-06 eta: 13:44:10 time: 1.5835 data_time: 0.1374 memory: 22133 grad_norm: 1.6039 loss: 1.3693 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2521 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7541 detection_loss_cls: 0.0517 detection_loss_reg: 0.4339 grounding_loss_reg: 3.1028 +2023/10/31 08:48:45 - mmengine - INFO - Saving checkpoint at 288000 iterations +2023/10/31 09:02:54 - mmengine - INFO - Iter(train) [288500/320000] base_lr: 6.6967e-06 lr: 3.8502e-06 eta: 13:39:16 time: 1.6210 data_time: 0.1392 memory: 22133 grad_norm: 1.5690 loss: 1.3556 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2482 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7552 detection_loss_cls: 0.0516 detection_loss_reg: 0.4342 grounding_loss_reg: 3.0991 +2023/10/31 09:02:54 - mmengine - INFO - Saving checkpoint at 288500 iterations +2023/10/31 09:16:08 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 09:16:08 - mmengine - INFO - Iter(train) [289000/320000] base_lr: 6.5499e-06 lr: 3.7924e-06 eta: 13:27:30 time: 1.6396 data_time: 0.1394 memory: 22133 grad_norm: 1.5796 loss: 1.3577 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2419 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7546 detection_loss_cls: 0.0517 detection_loss_reg: 0.4336 grounding_loss_reg: 3.0960 +2023/10/31 09:16:08 - mmengine - INFO - Saving checkpoint at 289000 iterations +2023/10/31 09:30:10 - mmengine - INFO - Iter(train) [289500/320000] base_lr: 6.4054e-06 lr: 3.7355e-06 eta: 13:19:33 time: 1.6454 data_time: 0.1388 memory: 22133 grad_norm: 1.5948 loss: 1.3711 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2413 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7567 detection_loss_cls: 0.0515 detection_loss_reg: 0.4324 grounding_loss_reg: 3.0935 +2023/10/31 09:30:10 - mmengine - INFO - Saving checkpoint at 289500 iterations +2023/10/31 09:44:02 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 09:44:02 - mmengine - INFO - Iter(train) [290000/320000] base_lr: 6.2632e-06 lr: 3.6794e-06 eta: 13:09:59 time: 1.6638 data_time: 0.1391 memory: 22133 grad_norm: 1.6102 loss: 1.3724 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2421 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.7558 detection_loss_cls: 0.0515 detection_loss_reg: 0.4310 grounding_loss_reg: 3.0901 +2023/10/31 09:44:02 - mmengine - INFO - Saving checkpoint at 290000 iterations +2023/10/31 09:48:42 - mmengine - INFO - Evaluating bbox... +2023/10/31 09:49:43 - mmengine - INFO - bbox_mAP_copypaste: 0.431 0.604 0.465 0.267 0.472 0.578 +2023/10/31 09:49:43 - mmengine - INFO - Evaluating segm... +2023/10/31 09:51:00 - mmengine - INFO - segm_mAP_copypaste: 0.291 0.521 0.284 0.147 0.331 0.457 +2023/10/31 09:52:15 - mmengine - INFO - Evaluating bbox... +2023/10/31 09:53:17 - mmengine - INFO - bbox_mAP_copypaste: 0.432 0.603 0.467 0.268 0.473 0.579 +2023/10/31 09:55:35 - mmengine - INFO - per class results: +2023/10/31 09:55:35 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.22 | 85.87 | +| building | 80.29 | 91.54 | +| sky | 92.95 | 97.05 | +| floor | 78.89 | 88.01 | +| tree | 71.64 | 86.38 | +| ceiling | 79.97 | 94.03 | +| road | 81.77 | 87.04 | +| bed | 85.13 | 94.37 | +| windowpane | 57.35 | 74.33 | +| grass | 69.92 | 83.36 | +| cabinet | 55.74 | 66.62 | +| sidewalk | 60.83 | 78.69 | +| person | 77.98 | 90.12 | +| earth | 41.85 | 59.52 | +| door | 40.2 | 54.92 | +| table | 55.1 | 72.64 | +| mountain | 55.73 | 69.42 | +| plant | 48.53 | 62.05 | +| curtain | 68.94 | 85.14 | +| chair | 50.07 | 66.28 | +| car | 78.83 | 89.36 | +| water | 53.9 | 69.87 | +| painting | 67.91 | 84.33 | +| sofa | 63.34 | 81.74 | +| shelf | 41.87 | 62.23 | +| house | 43.99 | 56.16 | +| sea | 56.76 | 78.05 | +| mirror | 57.48 | 66.79 | +| rug | 60.23 | 66.99 | +| field | 38.3 | 50.54 | +| armchair | 39.59 | 57.44 | +| seat | 60.32 | 76.52 | +| fence | 38.86 | 53.7 | +| desk | 43.33 | 62.78 | +| rock | 50.82 | 70.15 | +| wardrobe | 46.52 | 69.94 | +| lamp | 55.05 | 69.82 | +| bathtub | 74.52 | 82.29 | +| railing | 27.5 | 40.73 | +| cushion | 49.77 | 62.11 | +| base | 19.52 | 28.7 | +| box | 23.61 | 34.42 | +| column | 41.21 | 55.85 | +| signboard | 35.67 | 47.33 | +| chest of drawers | 41.6 | 60.31 | +| counter | 28.1 | 37.69 | +| sand | 38.69 | 52.98 | +| sink | 61.51 | 73.56 | +| skyscraper | 54.86 | 66.2 | +| fireplace | 60.67 | 76.0 | +| refrigerator | 68.13 | 83.03 | +| grandstand | 37.87 | 66.7 | +| path | 23.95 | 33.03 | +| stairs | 30.81 | 39.81 | +| runway | 72.31 | 92.7 | +| case | 44.39 | 50.75 | +| pool table | 89.27 | 95.01 | +| pillow | 42.4 | 50.13 | +| screen door | 53.36 | 62.53 | +| stairway | 24.67 | 35.67 | +| river | 24.4 | 35.16 | +| bridge | 38.7 | 55.43 | +| bookcase | 33.97 | 53.16 | +| blind | 19.36 | 20.9 | +| coffee table | 56.67 | 73.18 | +| toilet | 80.11 | 87.54 | +| flower | 30.62 | 50.7 | +| book | 43.44 | 63.09 | +| hill | 14.52 | 20.3 | +| bench | 37.41 | 50.19 | +| countertop | 51.87 | 66.34 | +| stove | 62.45 | 72.17 | +| palm | 45.08 | 61.57 | +| kitchen island | 38.22 | 70.3 | +| computer | 57.79 | 67.46 | +| swivel chair | 38.14 | 56.64 | +| boat | 62.4 | 87.12 | +| bar | 44.76 | 55.28 | +| arcade machine | 31.04 | 33.67 | +| hovel | 34.67 | 39.96 | +| bus | 89.03 | 94.73 | +| towel | 57.47 | 73.21 | +| light | 39.12 | 45.46 | +| truck | 40.55 | 63.43 | +| tower | 30.25 | 47.42 | +| chandelier | 60.76 | 77.38 | +| awning | 26.16 | 30.51 | +| streetlight | 22.36 | 29.42 | +| booth | 43.05 | 47.85 | +| television receiver | 63.36 | 81.4 | +| airplane | 52.02 | 62.58 | +| dirt track | 11.82 | 16.94 | +| apparel | 25.72 | 32.72 | +| pole | 21.62 | 31.53 | +| land | 4.45 | 5.92 | +| bannister | 3.07 | 3.5 | +| escalator | 39.56 | 50.54 | +| ottoman | 39.58 | 50.63 | +| bottle | 26.96 | 33.51 | +| buffet | 43.09 | 49.46 | +| poster | 22.34 | 27.89 | +| stage | 10.28 | 17.09 | +| van | 22.87 | 26.82 | +| ship | 44.65 | 53.77 | +| fountain | 21.64 | 22.09 | +| conveyer belt | 61.39 | 91.37 | +| canopy | 18.98 | 24.34 | +| washer | 68.09 | 72.79 | +| plaything | 24.29 | 32.29 | +| swimming pool | 38.84 | 53.46 | +| stool | 37.7 | 46.61 | +| barrel | 23.35 | 85.56 | +| basket | 29.29 | 38.86 | +| waterfall | 75.06 | 86.75 | +| tent | 85.88 | 95.98 | +| bag | 12.92 | 14.17 | +| minibike | 70.31 | 83.44 | +| cradle | 73.11 | 94.15 | +| oven | 26.8 | 34.44 | +| ball | 45.89 | 59.85 | +| food | 54.62 | 66.74 | +| step | 1.79 | 1.99 | +| tank | 27.52 | 32.65 | +| trade name | 23.45 | 25.7 | +| microwave | 81.73 | 91.06 | +| pot | 43.79 | 52.63 | +| animal | 59.04 | 63.87 | +| bicycle | 57.5 | 77.36 | +| lake | 35.47 | 35.86 | +| dishwasher | 49.94 | 61.55 | +| screen | 58.67 | 70.59 | +| blanket | 0.93 | 0.96 | +| sculpture | 48.85 | 66.39 | +| hood | 42.41 | 47.87 | +| sconce | 25.89 | 30.98 | +| vase | 35.13 | 52.34 | +| traffic light | 28.03 | 37.85 | +| tray | 6.27 | 8.81 | +| ashcan | 36.22 | 47.98 | +| fan | 44.02 | 51.67 | +| pier | 49.79 | 60.06 | +| crt screen | 9.46 | 36.43 | +| plate | 51.09 | 63.8 | +| monitor | 3.93 | 4.89 | +| bulletin board | 34.08 | 37.5 | +| shower | 3.13 | 4.44 | +| radiator | 45.95 | 53.9 | +| glass | 13.47 | 14.78 | +| clock | 19.09 | 23.39 | +| flag | 51.37 | 56.61 | ++---------------------+-------+-------+ +2023/10/31 09:55:45 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4320 coco/bbox_mAP_50: 0.6030 coco/bbox_mAP_75: 0.4670 coco/bbox_mAP_s: 0.2680 coco/bbox_mAP_m: 0.4730 coco/bbox_mAP_l: 0.5790 coco/segm_mAP: 0.2910 coco/segm_mAP_50: 0.5210 coco/segm_mAP_75: 0.2840 coco/segm_mAP_s: 0.1470 coco/segm_mAP_m: 0.3310 coco/segm_mAP_l: 0.4570 Bleu_1: 0.7516 Bleu_2: 0.5856 Bleu_3: 0.4463 Bleu_4: 0.3398 METEOR: 0.2698 ROUGE_L: 0.5551 CIDEr: 1.0876 SPICE: 0.1981 aAcc: 80.9800 mIoU: 44.7300 mAcc: 56.4800 visual-grounding/miou: 0.7060 visual-grounding/acc: 0.7796 data_time: 0.0502 time: 0.5546 +2023/10/31 10:07:49 - mmengine - INFO - Iter(train) [290500/320000] base_lr: 6.1233e-06 lr: 3.6243e-06 eta: 12:52:13 time: 1.6371 data_time: 0.1266 memory: 22132 grad_norm: 1.6406 loss: 1.3829 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2406 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7516 detection_loss_cls: 0.0515 detection_loss_reg: 0.4307 grounding_loss_reg: 3.0820 +2023/10/31 10:07:49 - mmengine - INFO - Saving checkpoint at 290500 iterations +2023/10/31 10:21:21 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 10:21:21 - mmengine - INFO - Iter(train) [291000/320000] base_lr: 5.9856e-06 lr: 3.5701e-06 eta: 12:40:51 time: 1.6371 data_time: 0.1274 memory: 22132 grad_norm: 1.6260 loss: 1.3866 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2392 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7552 detection_loss_cls: 0.0515 detection_loss_reg: 0.4303 grounding_loss_reg: 3.0820 +2023/10/31 10:21:21 - mmengine - INFO - Saving checkpoint at 291000 iterations +2023/10/31 10:35:16 - mmengine - INFO - Iter(train) [291500/320000] base_lr: 5.8503e-06 lr: 3.5168e-06 eta: 12:30:33 time: 1.6409 data_time: 0.1262 memory: 22132 grad_norm: 1.6326 loss: 1.4017 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2382 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7543 detection_loss_cls: 0.0514 detection_loss_reg: 0.4304 grounding_loss_reg: 3.0808 +2023/10/31 10:35:16 - mmengine - INFO - Saving checkpoint at 291500 iterations +2023/10/31 10:49:58 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 10:49:58 - mmengine - INFO - Iter(train) [292000/320000] base_lr: 5.7172e-06 lr: 3.4643e-06 eta: 12:22:25 time: 1.6422 data_time: 0.1258 memory: 22132 grad_norm: 1.6168 loss: 1.3969 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2432 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2977 instance_segmentation_loss_poly: 0.7528 detection_loss_cls: 0.0517 detection_loss_reg: 0.4329 grounding_loss_reg: 3.0799 +2023/10/31 10:49:58 - mmengine - INFO - Saving checkpoint at 292000 iterations +2023/10/31 11:03:35 - mmengine - INFO - Iter(train) [292500/320000] base_lr: 5.5864e-06 lr: 3.4128e-06 eta: 12:10:17 time: 1.6344 data_time: 0.1247 memory: 22132 grad_norm: 1.6142 loss: 1.3823 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2383 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.7530 detection_loss_cls: 0.0516 detection_loss_reg: 0.4328 grounding_loss_reg: 3.0783 +2023/10/31 11:03:35 - mmengine - INFO - Saving checkpoint at 292500 iterations +2023/10/31 11:17:37 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 11:17:37 - mmengine - INFO - Iter(train) [293000/320000] base_lr: 5.4580e-06 lr: 3.3622e-06 eta: 11:59:07 time: 1.6464 data_time: 0.1246 memory: 22132 grad_norm: 1.6257 loss: 1.3938 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2383 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7535 detection_loss_cls: 0.0517 detection_loss_reg: 0.4321 grounding_loss_reg: 3.0770 +2023/10/31 11:17:37 - mmengine - INFO - Saving checkpoint at 293000 iterations +2023/10/31 11:31:43 - mmengine - INFO - Iter(train) [293500/320000] base_lr: 5.3318e-06 lr: 3.3125e-06 eta: 11:47:51 time: 1.6473 data_time: 0.1242 memory: 22132 grad_norm: 1.6164 loss: 1.3858 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2374 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.7549 detection_loss_cls: 0.0519 detection_loss_reg: 0.4323 grounding_loss_reg: 3.0720 +2023/10/31 11:31:43 - mmengine - INFO - Saving checkpoint at 293500 iterations +2023/10/31 11:45:49 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 11:45:49 - mmengine - INFO - Iter(train) [294000/320000] base_lr: 5.2079e-06 lr: 3.2637e-06 eta: 11:36:21 time: 1.6509 data_time: 0.1237 memory: 22132 grad_norm: 1.6171 loss: 1.3847 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2407 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7534 detection_loss_cls: 0.0517 detection_loss_reg: 0.4314 grounding_loss_reg: 3.0703 +2023/10/31 11:45:49 - mmengine - INFO - Saving checkpoint at 294000 iterations +2023/10/31 12:00:01 - mmengine - INFO - Iter(train) [294500/320000] base_lr: 5.0864e-06 lr: 3.2158e-06 eta: 11:24:48 time: 1.6825 data_time: 0.1367 memory: 22132 grad_norm: 1.5922 loss: 1.3704 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2395 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7512 detection_loss_cls: 0.0518 detection_loss_reg: 0.4305 grounding_loss_reg: 3.0676 +2023/10/31 12:00:01 - mmengine - INFO - Saving checkpoint at 294500 iterations +2023/10/31 12:13:51 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 12:13:51 - mmengine - INFO - Iter(train) [295000/320000] base_lr: 4.9671e-06 lr: 3.1689e-06 eta: 11:12:14 time: 1.6869 data_time: 0.1357 memory: 22132 grad_norm: 1.5884 loss: 1.3643 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2437 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7525 detection_loss_cls: 0.0518 detection_loss_reg: 0.4309 grounding_loss_reg: 3.0631 +2023/10/31 12:13:51 - mmengine - INFO - Saving checkpoint at 295000 iterations +2023/10/31 12:27:30 - mmengine - INFO - Iter(train) [295500/320000] base_lr: 4.8502e-06 lr: 3.1228e-06 eta: 10:59:13 time: 1.6830 data_time: 0.1358 memory: 22132 grad_norm: 1.6340 loss: 1.3592 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2453 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7508 detection_loss_cls: 0.0519 detection_loss_reg: 0.4306 grounding_loss_reg: 3.0545 +2023/10/31 12:27:30 - mmengine - INFO - Saving checkpoint at 295500 iterations +2023/10/31 12:41:27 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 12:41:27 - mmengine - INFO - Iter(train) [296000/320000] base_lr: 4.7356e-06 lr: 3.0777e-06 eta: 10:46:42 time: 1.6717 data_time: 0.1355 memory: 22132 grad_norm: 1.6396 loss: 1.3485 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2441 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7496 detection_loss_cls: 0.0517 detection_loss_reg: 0.4304 grounding_loss_reg: 3.0512 +2023/10/31 12:41:27 - mmengine - INFO - Saving checkpoint at 296000 iterations +2023/10/31 12:54:57 - mmengine - INFO - Iter(train) [296500/320000] base_lr: 4.6233e-06 lr: 3.0334e-06 eta: 10:33:16 time: 1.6698 data_time: 0.1353 memory: 22132 grad_norm: 1.6434 loss: 1.3569 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2440 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7489 detection_loss_cls: 0.0517 detection_loss_reg: 0.4302 grounding_loss_reg: 3.0466 +2023/10/31 12:54:57 - mmengine - INFO - Saving checkpoint at 296500 iterations +2023/10/31 13:08:40 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 13:08:40 - mmengine - INFO - Iter(train) [297000/320000] base_lr: 4.5133e-06 lr: 2.9901e-06 eta: 10:20:13 time: 1.6653 data_time: 0.1358 memory: 22132 grad_norm: 1.6521 loss: 1.3533 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2417 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7471 detection_loss_cls: 0.0514 detection_loss_reg: 0.4297 grounding_loss_reg: 3.0436 +2023/10/31 13:08:40 - mmengine - INFO - Saving checkpoint at 297000 iterations +2023/10/31 13:22:22 - mmengine - INFO - Iter(train) [297500/320000] base_lr: 4.4057e-06 lr: 2.9477e-06 eta: 10:07:04 time: 1.6593 data_time: 0.1357 memory: 22132 grad_norm: 1.6743 loss: 1.3603 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2383 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7473 detection_loss_cls: 0.0515 detection_loss_reg: 0.4301 grounding_loss_reg: 3.0396 +2023/10/31 13:22:22 - mmengine - INFO - Saving checkpoint at 297500 iterations +2023/10/31 13:37:13 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 13:37:13 - mmengine - INFO - Iter(train) [298000/320000] base_lr: 4.3004e-06 lr: 2.9062e-06 eta: 9:55:38 time: 1.6704 data_time: 0.1359 memory: 22132 grad_norm: 1.6659 loss: 1.3577 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2384 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7468 detection_loss_cls: 0.0514 detection_loss_reg: 0.4306 grounding_loss_reg: 3.0375 +2023/10/31 13:37:13 - mmengine - INFO - Saving checkpoint at 298000 iterations +2023/10/31 13:52:19 - mmengine - INFO - Iter(train) [298500/320000] base_lr: 4.1974e-06 lr: 2.8656e-06 eta: 9:44:19 time: 1.6840 data_time: 0.1362 memory: 22132 grad_norm: 1.6641 loss: 1.3566 semantic_segmentation_loss_cls: 0.0112 caption_loss_cls: 2.2370 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7443 detection_loss_cls: 0.0516 detection_loss_reg: 0.4317 grounding_loss_reg: 3.0365 +2023/10/31 13:52:19 - mmengine - INFO - Saving checkpoint at 298500 iterations +2023/10/31 14:06:28 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 14:06:28 - mmengine - INFO - Iter(train) [299000/320000] base_lr: 4.0967e-06 lr: 2.8260e-06 eta: 9:31:29 time: 1.6887 data_time: 0.1368 memory: 22132 grad_norm: 1.6630 loss: 1.3517 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2359 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7466 detection_loss_cls: 0.0515 detection_loss_reg: 0.4300 grounding_loss_reg: 3.0321 +2023/10/31 14:06:28 - mmengine - INFO - Saving checkpoint at 299000 iterations +2023/10/31 14:21:11 - mmengine - INFO - Iter(train) [299500/320000] base_lr: 3.9984e-06 lr: 2.7873e-06 eta: 9:19:18 time: 1.7047 data_time: 0.1378 memory: 22132 grad_norm: 1.6006 loss: 1.3388 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2330 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7463 detection_loss_cls: 0.0512 detection_loss_reg: 0.4297 grounding_loss_reg: 3.0335 +2023/10/31 14:21:11 - mmengine - INFO - Saving checkpoint at 299500 iterations +2023/10/31 14:35:55 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 14:35:55 - mmengine - INFO - Iter(train) [300000/320000] base_lr: 3.9024e-06 lr: 2.7494e-06 eta: 9:06:59 time: 1.7166 data_time: 0.1377 memory: 22132 grad_norm: 1.6126 loss: 1.3537 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2323 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7461 detection_loss_cls: 0.0511 detection_loss_reg: 0.4290 grounding_loss_reg: 3.0354 +2023/10/31 14:35:55 - mmengine - INFO - Saving checkpoint at 300000 iterations +2023/10/31 14:40:27 - mmengine - INFO - Evaluating bbox... +2023/10/31 14:41:31 - mmengine - INFO - bbox_mAP_copypaste: 0.435 0.607 0.468 0.269 0.477 0.575 +2023/10/31 14:41:31 - mmengine - INFO - Evaluating segm... +2023/10/31 14:42:44 - mmengine - INFO - segm_mAP_copypaste: 0.293 0.523 0.288 0.147 0.333 0.462 +2023/10/31 14:43:59 - mmengine - INFO - Evaluating bbox... +2023/10/31 14:45:04 - mmengine - INFO - bbox_mAP_copypaste: 0.435 0.607 0.469 0.273 0.478 0.576 +2023/10/31 14:47:17 - mmengine - INFO - per class results: +2023/10/31 14:47:17 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.72 | 86.31 | +| building | 80.21 | 91.11 | +| sky | 92.96 | 97.23 | +| floor | 78.91 | 87.9 | +| tree | 71.66 | 86.84 | +| ceiling | 80.37 | 92.61 | +| road | 81.68 | 88.45 | +| bed | 85.9 | 94.39 | +| windowpane | 58.11 | 76.45 | +| grass | 69.7 | 85.5 | +| cabinet | 56.48 | 69.16 | +| sidewalk | 61.17 | 75.36 | +| person | 77.95 | 89.86 | +| earth | 41.54 | 57.04 | +| door | 42.47 | 57.77 | +| table | 54.98 | 70.56 | +| mountain | 56.6 | 72.33 | +| plant | 50.01 | 62.48 | +| curtain | 69.25 | 84.82 | +| chair | 49.56 | 64.29 | +| car | 78.99 | 88.81 | +| water | 53.3 | 68.13 | +| painting | 67.64 | 85.03 | +| sofa | 62.8 | 80.72 | +| shelf | 39.13 | 58.76 | +| house | 43.1 | 58.16 | +| sea | 54.35 | 77.81 | +| mirror | 57.18 | 67.08 | +| rug | 56.72 | 65.63 | +| field | 37.65 | 51.04 | +| armchair | 38.91 | 57.16 | +| seat | 61.82 | 76.11 | +| fence | 39.24 | 55.65 | +| desk | 43.71 | 63.09 | +| rock | 43.52 | 59.72 | +| wardrobe | 44.96 | 68.5 | +| lamp | 55.16 | 69.19 | +| bathtub | 78.18 | 84.01 | +| railing | 27.17 | 38.83 | +| cushion | 50.07 | 64.72 | +| base | 19.45 | 28.25 | +| box | 22.02 | 32.54 | +| column | 39.88 | 52.82 | +| signboard | 35.25 | 47.38 | +| chest of drawers | 41.82 | 59.69 | +| counter | 26.68 | 34.14 | +| sand | 34.62 | 48.12 | +| sink | 61.67 | 73.5 | +| skyscraper | 56.05 | 71.31 | +| fireplace | 60.03 | 74.7 | +| refrigerator | 68.55 | 79.48 | +| grandstand | 38.79 | 61.91 | +| path | 23.8 | 34.6 | +| stairs | 27.59 | 35.12 | +| runway | 69.12 | 89.19 | +| case | 42.6 | 50.85 | +| pool table | 88.57 | 94.93 | +| pillow | 45.18 | 55.32 | +| screen door | 53.72 | 64.44 | +| stairway | 25.92 | 36.34 | +| river | 27.9 | 37.13 | +| bridge | 38.62 | 58.09 | +| bookcase | 34.17 | 55.9 | +| blind | 22.29 | 24.21 | +| coffee table | 55.64 | 73.23 | +| toilet | 79.5 | 87.56 | +| flower | 31.01 | 44.91 | +| book | 42.52 | 64.55 | +| hill | 12.8 | 17.43 | +| bench | 36.04 | 49.84 | +| countertop | 51.1 | 65.52 | +| stove | 62.95 | 74.01 | +| palm | 46.48 | 62.44 | +| kitchen island | 32.23 | 55.12 | +| computer | 58.92 | 69.76 | +| swivel chair | 38.26 | 57.69 | +| boat | 62.85 | 88.6 | +| bar | 44.86 | 56.23 | +| arcade machine | 41.02 | 45.05 | +| hovel | 31.32 | 38.2 | +| bus | 89.56 | 94.41 | +| towel | 57.35 | 73.21 | +| light | 38.18 | 43.73 | +| truck | 36.36 | 62.87 | +| tower | 29.91 | 48.97 | +| chandelier | 61.61 | 78.86 | +| awning | 22.99 | 24.66 | +| streetlight | 22.49 | 28.67 | +| booth | 44.04 | 49.53 | +| television receiver | 63.86 | 81.27 | +| airplane | 54.34 | 63.1 | +| dirt track | 7.4 | 17.3 | +| apparel | 27.57 | 36.97 | +| pole | 21.57 | 32.6 | +| land | 4.42 | 5.95 | +| bannister | 2.45 | 3.08 | +| escalator | 44.17 | 59.62 | +| ottoman | 40.7 | 54.13 | +| bottle | 25.51 | 31.63 | +| buffet | 45.75 | 54.09 | +| poster | 22.73 | 28.5 | +| stage | 10.12 | 17.3 | +| van | 24.15 | 30.15 | +| ship | 57.19 | 66.72 | +| fountain | 21.29 | 21.68 | +| conveyer belt | 57.22 | 91.99 | +| canopy | 19.82 | 25.59 | +| washer | 68.18 | 74.09 | +| plaything | 24.79 | 33.05 | +| swimming pool | 42.72 | 69.71 | +| stool | 38.99 | 50.88 | +| barrel | 50.33 | 85.57 | +| basket | 28.28 | 39.78 | +| waterfall | 74.6 | 90.99 | +| tent | 83.67 | 96.23 | +| bag | 13.84 | 15.46 | +| minibike | 69.91 | 82.77 | +| cradle | 71.22 | 95.68 | +| oven | 26.25 | 33.86 | +| ball | 42.34 | 52.56 | +| food | 54.56 | 68.44 | +| step | 1.17 | 1.23 | +| tank | 31.18 | 36.01 | +| trade name | 24.63 | 27.26 | +| microwave | 81.05 | 89.66 | +| pot | 39.19 | 44.89 | +| animal | 56.76 | 60.33 | +| bicycle | 57.11 | 76.16 | +| lake | 35.98 | 36.73 | +| dishwasher | 48.83 | 61.39 | +| screen | 64.06 | 77.38 | +| blanket | 1.09 | 1.13 | +| sculpture | 48.09 | 65.57 | +| hood | 36.42 | 40.52 | +| sconce | 26.93 | 32.61 | +| vase | 35.7 | 51.61 | +| traffic light | 26.77 | 38.1 | +| tray | 7.3 | 11.34 | +| ashcan | 36.14 | 47.74 | +| fan | 49.91 | 61.11 | +| pier | 52.61 | 70.29 | +| crt screen | 9.33 | 26.64 | +| plate | 50.34 | 63.27 | +| monitor | 4.2 | 4.89 | +| bulletin board | 34.92 | 42.02 | +| shower | 4.27 | 6.14 | +| radiator | 46.28 | 53.27 | +| glass | 13.51 | 14.97 | +| clock | 20.29 | 24.52 | +| flag | 55.44 | 61.64 | ++---------------------+-------+-------+ +2023/10/31 14:47:26 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4350 coco/bbox_mAP_50: 0.6070 coco/bbox_mAP_75: 0.4690 coco/bbox_mAP_s: 0.2730 coco/bbox_mAP_m: 0.4780 coco/bbox_mAP_l: 0.5760 coco/segm_mAP: 0.2930 coco/segm_mAP_50: 0.5230 coco/segm_mAP_75: 0.2880 coco/segm_mAP_s: 0.1470 coco/segm_mAP_m: 0.3330 coco/segm_mAP_l: 0.4620 Bleu_1: 0.7518 Bleu_2: 0.5836 Bleu_3: 0.4438 Bleu_4: 0.3358 METEOR: 0.2689 ROUGE_L: 0.5538 CIDEr: 1.0823 SPICE: 0.1987 aAcc: 81.0400 mIoU: 44.9400 mAcc: 56.8200 visual-grounding/miou: 0.7130 visual-grounding/acc: 0.7869 data_time: 0.0478 time: 0.5367 +2023/10/31 15:01:21 - mmengine - INFO - Iter(train) [300500/320000] base_lr: 3.8088e-06 lr: 2.7126e-06 eta: 8:53:35 time: 1.7229 data_time: 0.1244 memory: 22132 grad_norm: 1.6388 loss: 1.3574 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2286 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7425 detection_loss_cls: 0.0511 detection_loss_reg: 0.4297 grounding_loss_reg: 3.0279 +2023/10/31 15:01:21 - mmengine - INFO - Saving checkpoint at 300500 iterations +2023/10/31 15:16:15 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 15:16:15 - mmengine - INFO - Iter(train) [301000/320000] base_lr: 3.7175e-06 lr: 2.6766e-06 eta: 8:41:13 time: 1.7405 data_time: 0.1241 memory: 22132 grad_norm: 1.6190 loss: 1.3468 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2297 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7437 detection_loss_cls: 0.0513 detection_loss_reg: 0.4302 grounding_loss_reg: 3.0261 +2023/10/31 15:16:15 - mmengine - INFO - Saving checkpoint at 301000 iterations +2023/10/31 15:29:19 - mmengine - INFO - Iter(train) [301500/320000] base_lr: 3.6285e-06 lr: 2.6415e-06 eta: 8:26:50 time: 1.7312 data_time: 0.1248 memory: 22132 grad_norm: 1.6140 loss: 1.3375 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2274 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7431 detection_loss_cls: 0.0511 detection_loss_reg: 0.4287 grounding_loss_reg: 3.0266 +2023/10/31 15:29:19 - mmengine - INFO - Saving checkpoint at 301500 iterations +2023/10/31 15:43:13 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 15:43:13 - mmengine - INFO - Iter(train) [302000/320000] base_lr: 3.5419e-06 lr: 2.6074e-06 eta: 8:13:20 time: 1.7170 data_time: 0.1248 memory: 22132 grad_norm: 1.6247 loss: 1.3412 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2269 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7439 detection_loss_cls: 0.0510 detection_loss_reg: 0.4285 grounding_loss_reg: 3.0272 +2023/10/31 15:43:13 - mmengine - INFO - Saving checkpoint at 302000 iterations +2023/10/31 15:57:49 - mmengine - INFO - Iter(train) [302500/320000] base_lr: 3.4577e-06 lr: 2.5742e-06 eta: 8:00:27 time: 1.7095 data_time: 0.1245 memory: 22132 grad_norm: 1.6329 loss: 1.3487 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2293 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0512 detection_loss_reg: 0.4292 grounding_loss_reg: 3.0253 +2023/10/31 15:57:49 - mmengine - INFO - Saving checkpoint at 302500 iterations +2023/10/31 16:12:34 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 16:12:34 - mmengine - INFO - Iter(train) [303000/320000] base_lr: 3.3758e-06 lr: 2.5420e-06 eta: 7:47:36 time: 1.7184 data_time: 0.1241 memory: 22132 grad_norm: 1.6416 loss: 1.3360 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2256 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7413 detection_loss_cls: 0.0515 detection_loss_reg: 0.4307 grounding_loss_reg: 3.0212 +2023/10/31 16:12:34 - mmengine - INFO - Saving checkpoint at 303000 iterations +2023/10/31 16:26:52 - mmengine - INFO - Iter(train) [303500/320000] base_lr: 3.2962e-06 lr: 2.5106e-06 eta: 7:34:18 time: 1.7121 data_time: 0.1232 memory: 22132 grad_norm: 1.6452 loss: 1.3383 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2247 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7420 detection_loss_cls: 0.0512 detection_loss_reg: 0.4292 grounding_loss_reg: 3.0212 +2023/10/31 16:26:52 - mmengine - INFO - Saving checkpoint at 303500 iterations +2023/10/31 16:41:09 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 16:41:09 - mmengine - INFO - Iter(train) [304000/320000] base_lr: 3.2190e-06 lr: 2.4802e-06 eta: 7:20:56 time: 1.7054 data_time: 0.1234 memory: 22132 grad_norm: 1.6307 loss: 1.3293 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2245 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0509 detection_loss_reg: 0.4277 grounding_loss_reg: 3.0197 +2023/10/31 16:41:09 - mmengine - INFO - Saving checkpoint at 304000 iterations +2023/10/31 16:55:48 - mmengine - INFO - Iter(train) [304500/320000] base_lr: 3.1442e-06 lr: 2.4507e-06 eta: 7:07:48 time: 1.7163 data_time: 0.1373 memory: 22132 grad_norm: 1.5948 loss: 1.3253 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2225 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7439 detection_loss_cls: 0.0509 detection_loss_reg: 0.4277 grounding_loss_reg: 3.0203 +2023/10/31 16:55:48 - mmengine - INFO - Saving checkpoint at 304500 iterations +2023/10/31 17:09:36 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 17:09:36 - mmengine - INFO - Iter(train) [305000/320000] base_lr: 3.0717e-06 lr: 2.4222e-06 eta: 6:53:59 time: 1.6997 data_time: 0.1373 memory: 22132 grad_norm: 1.5901 loss: 1.3219 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2214 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0509 detection_loss_reg: 0.4275 grounding_loss_reg: 3.0214 +2023/10/31 17:09:36 - mmengine - INFO - Saving checkpoint at 305000 iterations +2023/10/31 17:23:37 - mmengine - INFO - Iter(train) [305500/320000] base_lr: 3.0015e-06 lr: 2.3945e-06 eta: 6:40:20 time: 1.7139 data_time: 0.1373 memory: 21617 grad_norm: 1.6009 loss: 1.3321 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2235 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7381 detection_loss_cls: 0.0509 detection_loss_reg: 0.4279 grounding_loss_reg: 3.0220 +2023/10/31 17:23:37 - mmengine - INFO - Saving checkpoint at 305500 iterations +2023/10/31 17:37:57 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 17:37:57 - mmengine - INFO - Iter(train) [306000/320000] base_lr: 2.9338e-06 lr: 2.3678e-06 eta: 6:26:51 time: 1.7202 data_time: 0.1377 memory: 22132 grad_norm: 1.5938 loss: 1.3287 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2279 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7388 detection_loss_cls: 0.0509 detection_loss_reg: 0.4258 grounding_loss_reg: 3.0171 +2023/10/31 17:37:57 - mmengine - INFO - Saving checkpoint at 306000 iterations +2023/10/31 17:53:04 - mmengine - INFO - Iter(train) [306500/320000] base_lr: 2.8684e-06 lr: 2.3421e-06 eta: 6:13:48 time: 1.7282 data_time: 0.1375 memory: 22132 grad_norm: 1.5964 loss: 1.3238 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2259 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7356 detection_loss_cls: 0.0509 detection_loss_reg: 0.4259 grounding_loss_reg: 3.0149 +2023/10/31 17:53:04 - mmengine - INFO - Saving checkpoint at 306500 iterations +2023/10/31 18:07:28 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 18:07:28 - mmengine - INFO - Iter(train) [307000/320000] base_lr: 2.8053e-06 lr: 2.3172e-06 eta: 6:00:15 time: 1.7228 data_time: 0.1384 memory: 22132 grad_norm: 1.5926 loss: 1.3410 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2275 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_reg: 0.2887 instance_segmentation_loss_poly: 0.7370 detection_loss_cls: 0.0510 detection_loss_reg: 0.4262 grounding_loss_reg: 3.0125 +2023/10/31 18:07:28 - mmengine - INFO - Saving checkpoint at 307000 iterations +2023/10/31 18:21:20 - mmengine - INFO - Iter(train) [307500/320000] base_lr: 2.7446e-06 lr: 2.2933e-06 eta: 5:46:24 time: 1.7165 data_time: 0.1389 memory: 22132 grad_norm: 1.5908 loss: 1.3490 semantic_segmentation_loss_cls: 0.0113 caption_loss_cls: 2.2325 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0511 detection_loss_reg: 0.4267 grounding_loss_reg: 3.0154 +2023/10/31 18:21:20 - mmengine - INFO - Saving checkpoint at 307500 iterations +2023/10/31 18:36:08 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 18:36:08 - mmengine - INFO - Iter(train) [308000/320000] base_lr: 2.6863e-06 lr: 2.2704e-06 eta: 5:33:00 time: 1.7242 data_time: 0.1385 memory: 22132 grad_norm: 1.6072 loss: 1.3610 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2347 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7410 detection_loss_cls: 0.0514 detection_loss_reg: 0.4283 grounding_loss_reg: 3.0146 +2023/10/31 18:36:08 - mmengine - INFO - Saving checkpoint at 308000 iterations +2023/10/31 18:49:22 - mmengine - INFO - Iter(train) [308500/320000] base_lr: 2.6304e-06 lr: 2.2483e-06 eta: 5:18:50 time: 1.7027 data_time: 0.1382 memory: 22132 grad_norm: 1.6528 loss: 1.3864 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2339 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7414 detection_loss_cls: 0.0514 detection_loss_reg: 0.4287 grounding_loss_reg: 3.0179 +2023/10/31 18:49:22 - mmengine - INFO - Saving checkpoint at 308500 iterations +2023/10/31 19:04:02 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 19:04:02 - mmengine - INFO - Iter(train) [309000/320000] base_lr: 2.5768e-06 lr: 2.2272e-06 eta: 5:05:19 time: 1.7159 data_time: 0.1391 memory: 22132 grad_norm: 1.6516 loss: 1.3902 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2373 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0516 detection_loss_reg: 0.4304 grounding_loss_reg: 3.0176 +2023/10/31 19:04:02 - mmengine - INFO - Saving checkpoint at 309000 iterations +2023/10/31 19:19:04 - mmengine - INFO - Iter(train) [309500/320000] base_lr: 2.5256e-06 lr: 2.2071e-06 eta: 4:51:54 time: 1.7313 data_time: 0.1397 memory: 22132 grad_norm: 1.6465 loss: 1.3857 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2365 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7400 detection_loss_cls: 0.0518 detection_loss_reg: 0.4312 grounding_loss_reg: 3.0131 +2023/10/31 19:19:05 - mmengine - INFO - Saving checkpoint at 309500 iterations +2023/10/31 19:32:57 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 19:32:57 - mmengine - INFO - Iter(train) [310000/320000] base_lr: 2.4768e-06 lr: 2.1878e-06 eta: 4:37:59 time: 1.7245 data_time: 0.1395 memory: 22132 grad_norm: 1.6500 loss: 1.3873 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2388 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7377 detection_loss_cls: 0.0515 detection_loss_reg: 0.4314 grounding_loss_reg: 3.0108 +2023/10/31 19:32:57 - mmengine - INFO - Saving checkpoint at 310000 iterations +2023/10/31 19:37:34 - mmengine - INFO - Evaluating bbox... +2023/10/31 19:38:33 - mmengine - INFO - bbox_mAP_copypaste: 0.434 0.607 0.465 0.271 0.475 0.579 +2023/10/31 19:38:33 - mmengine - INFO - Evaluating segm... +2023/10/31 19:39:49 - mmengine - INFO - segm_mAP_copypaste: 0.295 0.523 0.290 0.149 0.335 0.462 +2023/10/31 19:41:03 - mmengine - INFO - Evaluating bbox... +2023/10/31 19:42:05 - mmengine - INFO - bbox_mAP_copypaste: 0.435 0.608 0.469 0.273 0.477 0.579 +2023/10/31 19:43:50 - mmengine - INFO - per class results: +2023/10/31 19:43:50 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.75 | 86.7 | +| building | 80.66 | 91.23 | +| sky | 92.91 | 97.23 | +| floor | 78.95 | 88.26 | +| tree | 71.63 | 86.64 | +| ceiling | 80.61 | 91.85 | +| road | 81.83 | 87.58 | +| bed | 85.89 | 93.63 | +| windowpane | 57.65 | 76.63 | +| grass | 69.15 | 81.96 | +| cabinet | 57.08 | 69.12 | +| sidewalk | 60.42 | 76.31 | +| person | 78.0 | 89.88 | +| earth | 42.86 | 59.97 | +| door | 42.7 | 57.92 | +| table | 55.25 | 72.75 | +| mountain | 57.6 | 73.31 | +| plant | 49.29 | 61.41 | +| curtain | 68.79 | 84.01 | +| chair | 50.53 | 66.3 | +| car | 78.71 | 88.73 | +| water | 53.51 | 71.42 | +| painting | 67.73 | 84.04 | +| sofa | 63.49 | 81.12 | +| shelf | 40.26 | 59.54 | +| house | 45.2 | 61.2 | +| sea | 54.85 | 74.69 | +| mirror | 57.54 | 68.08 | +| rug | 57.98 | 65.46 | +| field | 38.29 | 54.49 | +| armchair | 40.26 | 57.75 | +| seat | 63.1 | 78.48 | +| fence | 38.35 | 56.12 | +| desk | 44.07 | 62.3 | +| rock | 46.44 | 64.76 | +| wardrobe | 46.69 | 67.47 | +| lamp | 55.68 | 70.08 | +| bathtub | 76.56 | 83.64 | +| railing | 27.21 | 41.18 | +| cushion | 49.89 | 60.96 | +| base | 19.64 | 28.97 | +| box | 22.45 | 30.65 | +| column | 39.44 | 50.69 | +| signboard | 34.84 | 46.1 | +| chest of drawers | 41.94 | 57.64 | +| counter | 26.85 | 34.23 | +| sand | 36.25 | 50.95 | +| sink | 61.28 | 73.32 | +| skyscraper | 55.6 | 68.34 | +| fireplace | 61.19 | 75.26 | +| refrigerator | 68.32 | 80.84 | +| grandstand | 38.45 | 69.36 | +| path | 22.87 | 31.73 | +| stairs | 28.64 | 36.48 | +| runway | 71.27 | 91.76 | +| case | 44.49 | 53.13 | +| pool table | 89.52 | 95.18 | +| pillow | 48.34 | 61.25 | +| screen door | 53.28 | 63.56 | +| stairway | 26.21 | 36.31 | +| river | 24.89 | 33.82 | +| bridge | 36.17 | 51.91 | +| bookcase | 34.32 | 55.88 | +| blind | 22.94 | 24.81 | +| coffee table | 56.27 | 75.9 | +| toilet | 80.01 | 87.21 | +| flower | 31.41 | 47.34 | +| book | 42.93 | 61.79 | +| hill | 14.02 | 20.05 | +| bench | 37.59 | 51.16 | +| countertop | 50.68 | 65.81 | +| stove | 61.87 | 73.59 | +| palm | 46.28 | 60.7 | +| kitchen island | 37.66 | 68.93 | +| computer | 58.08 | 68.04 | +| swivel chair | 38.6 | 57.69 | +| boat | 65.25 | 87.56 | +| bar | 44.06 | 56.5 | +| arcade machine | 34.3 | 37.58 | +| hovel | 34.29 | 40.45 | +| bus | 89.71 | 94.63 | +| towel | 57.01 | 71.95 | +| light | 39.32 | 45.16 | +| truck | 35.13 | 62.63 | +| tower | 30.43 | 46.64 | +| chandelier | 61.23 | 78.11 | +| awning | 24.34 | 27.27 | +| streetlight | 22.05 | 28.4 | +| booth | 42.65 | 46.25 | +| television receiver | 63.7 | 81.85 | +| airplane | 53.39 | 63.14 | +| dirt track | 7.74 | 17.3 | +| apparel | 28.25 | 39.36 | +| pole | 21.68 | 31.64 | +| land | 4.31 | 5.67 | +| bannister | 3.35 | 4.25 | +| escalator | 47.88 | 65.27 | +| ottoman | 39.5 | 54.11 | +| bottle | 21.65 | 27.09 | +| buffet | 44.78 | 52.55 | +| poster | 22.48 | 27.22 | +| stage | 11.18 | 18.94 | +| van | 22.83 | 27.49 | +| ship | 58.23 | 69.92 | +| fountain | 21.33 | 21.98 | +| conveyer belt | 60.18 | 91.17 | +| canopy | 20.04 | 27.0 | +| washer | 67.98 | 74.31 | +| plaything | 24.94 | 32.97 | +| swimming pool | 39.67 | 53.08 | +| stool | 39.5 | 52.38 | +| barrel | 25.56 | 85.77 | +| basket | 29.23 | 40.7 | +| waterfall | 74.84 | 90.26 | +| tent | 84.5 | 96.56 | +| bag | 12.45 | 13.35 | +| minibike | 69.42 | 83.32 | +| cradle | 72.8 | 95.43 | +| oven | 23.99 | 31.69 | +| ball | 41.46 | 52.48 | +| food | 54.52 | 67.03 | +| step | 0.94 | 0.99 | +| tank | 30.1 | 37.45 | +| trade name | 23.37 | 25.53 | +| microwave | 81.35 | 89.3 | +| pot | 40.95 | 47.17 | +| animal | 57.67 | 61.6 | +| bicycle | 57.13 | 77.0 | +| lake | 2.28 | 2.28 | +| dishwasher | 49.15 | 65.36 | +| screen | 63.31 | 79.13 | +| blanket | 1.12 | 1.16 | +| sculpture | 49.41 | 65.28 | +| hood | 40.94 | 45.47 | +| sconce | 26.72 | 32.44 | +| vase | 35.81 | 52.1 | +| traffic light | 27.52 | 38.31 | +| tray | 7.3 | 10.86 | +| ashcan | 36.07 | 48.73 | +| fan | 49.39 | 60.39 | +| pier | 49.89 | 67.33 | +| crt screen | 10.18 | 27.76 | +| plate | 50.42 | 62.24 | +| monitor | 4.6 | 5.73 | +| bulletin board | 31.46 | 39.4 | +| shower | 3.65 | 5.18 | +| radiator | 49.02 | 57.27 | +| glass | 13.52 | 14.82 | +| clock | 19.97 | 23.03 | +| flag | 56.65 | 63.77 | ++---------------------+-------+-------+ +2023/10/31 19:44:01 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4350 coco/bbox_mAP_50: 0.6080 coco/bbox_mAP_75: 0.4690 coco/bbox_mAP_s: 0.2730 coco/bbox_mAP_m: 0.4770 coco/bbox_mAP_l: 0.5790 coco/segm_mAP: 0.2950 coco/segm_mAP_50: 0.5230 coco/segm_mAP_75: 0.2900 coco/segm_mAP_s: 0.1490 coco/segm_mAP_m: 0.3350 coco/segm_mAP_l: 0.4620 Bleu_1: 0.7494 Bleu_2: 0.5805 Bleu_3: 0.4403 Bleu_4: 0.3328 METEOR: 0.2683 ROUGE_L: 0.5527 CIDEr: 1.0741 SPICE: 0.1966 aAcc: 81.1400 mIoU: 44.7300 mAcc: 56.7300 visual-grounding/miou: 0.7136 visual-grounding/acc: 0.7872 data_time: 0.0463 time: 0.5497 +2023/10/31 19:58:01 - mmengine - INFO - Iter(train) [310500/320000] base_lr: 2.4304e-06 lr: 2.1695e-06 eta: 4:24:08 time: 1.7082 data_time: 0.1264 memory: 22132 grad_norm: 1.6629 loss: 1.3997 semantic_segmentation_loss_cls: 0.0114 caption_loss_cls: 2.2373 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.7375 detection_loss_cls: 0.0517 detection_loss_reg: 0.4325 grounding_loss_reg: 3.0135 +2023/10/31 19:58:01 - mmengine - INFO - Saving checkpoint at 310500 iterations +2023/10/31 20:12:14 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 20:12:14 - mmengine - INFO - Iter(train) [311000/320000] base_lr: 2.3863e-06 lr: 2.1522e-06 eta: 4:10:20 time: 1.7057 data_time: 0.1261 memory: 22132 grad_norm: 1.6575 loss: 1.3821 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2352 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7368 detection_loss_cls: 0.0515 detection_loss_reg: 0.4328 grounding_loss_reg: 3.0093 +2023/10/31 20:12:14 - mmengine - INFO - Saving checkpoint at 311000 iterations +2023/10/31 20:27:03 - mmengine - INFO - Iter(train) [311500/320000] base_lr: 2.3446e-06 lr: 2.1357e-06 eta: 3:56:42 time: 1.7197 data_time: 0.1258 memory: 22132 grad_norm: 1.6519 loss: 1.3709 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2331 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7351 detection_loss_cls: 0.0511 detection_loss_reg: 0.4307 grounding_loss_reg: 3.0127 +2023/10/31 20:27:03 - mmengine - INFO - Saving checkpoint at 311500 iterations +2023/10/31 20:41:53 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 20:41:53 - mmengine - INFO - Iter(train) [312000/320000] base_lr: 2.3053e-06 lr: 2.1203e-06 eta: 3:43:02 time: 1.7202 data_time: 0.1259 memory: 22132 grad_norm: 1.6517 loss: 1.3614 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2318 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7345 detection_loss_cls: 0.0512 detection_loss_reg: 0.4306 grounding_loss_reg: 3.0109 +2023/10/31 20:41:53 - mmengine - INFO - Saving checkpoint at 312000 iterations +2023/10/31 20:56:28 - mmengine - INFO - Iter(train) [312500/320000] base_lr: 2.2683e-06 lr: 2.1057e-06 eta: 3:29:15 time: 1.7406 data_time: 0.1265 memory: 22132 grad_norm: 1.6155 loss: 1.3377 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2366 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7359 detection_loss_cls: 0.0514 detection_loss_reg: 0.4321 grounding_loss_reg: 3.0101 +2023/10/31 20:56:28 - mmengine - INFO - Saving checkpoint at 312500 iterations +2023/10/31 21:12:44 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 21:12:44 - mmengine - INFO - Iter(train) [313000/320000] base_lr: 2.2338e-06 lr: 2.0921e-06 eta: 3:15:51 time: 1.7644 data_time: 0.1263 memory: 22132 grad_norm: 1.6045 loss: 1.3328 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2372 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7362 detection_loss_cls: 0.0513 detection_loss_reg: 0.4323 grounding_loss_reg: 3.0056 +2023/10/31 21:12:44 - mmengine - INFO - Saving checkpoint at 313000 iterations +2023/10/31 21:28:21 - mmengine - INFO - Iter(train) [313500/320000] base_lr: 2.2016e-06 lr: 2.0794e-06 eta: 3:02:13 time: 1.7732 data_time: 0.1257 memory: 22132 grad_norm: 1.5780 loss: 1.3240 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2387 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7353 detection_loss_cls: 0.0514 detection_loss_reg: 0.4327 grounding_loss_reg: 3.0043 +2023/10/31 21:28:21 - mmengine - INFO - Saving checkpoint at 313500 iterations +2023/10/31 21:44:04 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 21:44:04 - mmengine - INFO - Iter(train) [314000/320000] base_lr: 2.1718e-06 lr: 2.0677e-06 eta: 2:48:32 time: 1.8007 data_time: 0.1263 memory: 22132 grad_norm: 1.5825 loss: 1.3271 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2393 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0515 detection_loss_reg: 0.4337 grounding_loss_reg: 3.0048 +2023/10/31 21:44:04 - mmengine - INFO - Saving checkpoint at 314000 iterations +2023/10/31 21:58:36 - mmengine - INFO - Iter(train) [314500/320000] base_lr: 2.1443e-06 lr: 2.0569e-06 eta: 2:34:34 time: 1.8080 data_time: 0.1405 memory: 22132 grad_norm: 1.5689 loss: 1.3233 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2412 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7387 detection_loss_cls: 0.0514 detection_loss_reg: 0.4330 grounding_loss_reg: 3.0065 +2023/10/31 21:58:36 - mmengine - INFO - Saving checkpoint at 314500 iterations +2023/10/31 22:11:53 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 22:11:53 - mmengine - INFO - Iter(train) [315000/320000] base_lr: 2.1193e-06 lr: 2.0470e-06 eta: 2:20:24 time: 1.7940 data_time: 0.1402 memory: 22132 grad_norm: 1.5839 loss: 1.3379 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2389 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7389 detection_loss_cls: 0.0513 detection_loss_reg: 0.4324 grounding_loss_reg: 3.0027 +2023/10/31 22:11:53 - mmengine - INFO - Saving checkpoint at 315000 iterations +2023/10/31 22:26:42 - mmengine - INFO - Iter(train) [315500/320000] base_lr: 2.0966e-06 lr: 2.0381e-06 eta: 2:06:28 time: 1.7942 data_time: 0.1409 memory: 22132 grad_norm: 1.5776 loss: 1.3356 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2384 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7400 detection_loss_cls: 0.0516 detection_loss_reg: 0.4343 grounding_loss_reg: 3.0034 +2023/10/31 22:26:42 - mmengine - INFO - Saving checkpoint at 315500 iterations +2023/10/31 22:39:44 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 22:39:44 - mmengine - INFO - Iter(train) [316000/320000] base_lr: 2.0764e-06 lr: 2.0301e-06 eta: 1:52:17 time: 1.7671 data_time: 0.1406 memory: 22132 grad_norm: 1.5921 loss: 1.3455 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2397 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7397 detection_loss_cls: 0.0515 detection_loss_reg: 0.4334 grounding_loss_reg: 3.0030 +2023/10/31 22:39:44 - mmengine - INFO - Saving checkpoint at 316000 iterations +2023/10/31 22:53:15 - mmengine - INFO - Iter(train) [316500/320000] base_lr: 2.0585e-06 lr: 2.0230e-06 eta: 1:38:12 time: 1.7512 data_time: 0.1402 memory: 22132 grad_norm: 1.6143 loss: 1.3489 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2396 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7398 detection_loss_cls: 0.0517 detection_loss_reg: 0.4331 grounding_loss_reg: 3.0040 +2023/10/31 22:53:15 - mmengine - INFO - Saving checkpoint at 316500 iterations +2023/10/31 23:07:09 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 23:07:09 - mmengine - INFO - Iter(train) [317000/320000] base_lr: 2.0430e-06 lr: 2.0169e-06 eta: 1:24:09 time: 1.7158 data_time: 0.1395 memory: 22132 grad_norm: 1.6392 loss: 1.3555 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2402 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7381 detection_loss_cls: 0.0519 detection_loss_reg: 0.4337 grounding_loss_reg: 3.0054 +2023/10/31 23:07:09 - mmengine - INFO - Saving checkpoint at 317000 iterations +2023/10/31 23:22:16 - mmengine - INFO - Iter(train) [317500/320000] base_lr: 2.0298e-06 lr: 2.0118e-06 eta: 1:10:12 time: 1.7081 data_time: 0.1393 memory: 22132 grad_norm: 1.6832 loss: 1.3662 semantic_segmentation_loss_cls: 0.0116 caption_loss_cls: 2.2419 instance_segmentation_loss_cls: 0.0331 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7382 detection_loss_cls: 0.0520 detection_loss_reg: 0.4333 grounding_loss_reg: 3.0039 +2023/10/31 23:22:16 - mmengine - INFO - Saving checkpoint at 317500 iterations +2023/10/31 23:36:01 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/10/31 23:36:01 - mmengine - INFO - Iter(train) [318000/320000] base_lr: 2.0191e-06 lr: 2.0075e-06 eta: 0:56:09 time: 1.6788 data_time: 0.1397 memory: 22132 grad_norm: 1.7146 loss: 1.3776 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2401 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0519 detection_loss_reg: 0.4324 grounding_loss_reg: 3.0051 +2023/10/31 23:36:01 - mmengine - INFO - Saving checkpoint at 318000 iterations +2023/10/31 23:51:28 - mmengine - INFO - Iter(train) [318500/320000] base_lr: 2.0107e-06 lr: 2.0042e-06 eta: 0:42:10 time: 1.6925 data_time: 0.1395 memory: 22132 grad_norm: 1.7089 loss: 1.3759 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2395 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7449 detection_loss_cls: 0.0516 detection_loss_reg: 0.4319 grounding_loss_reg: 3.0077 +2023/10/31 23:51:28 - mmengine - INFO - Saving checkpoint at 318500 iterations +2023/11/01 00:06:34 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/11/01 00:06:34 - mmengine - INFO - Iter(train) [319000/320000] base_lr: 2.0048e-06 lr: 2.0019e-06 eta: 0:28:08 time: 1.7197 data_time: 0.1399 memory: 22132 grad_norm: 1.6957 loss: 1.3684 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2363 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7452 detection_loss_cls: 0.0518 detection_loss_reg: 0.4327 grounding_loss_reg: 3.0108 +2023/11/01 00:06:34 - mmengine - INFO - Saving checkpoint at 319000 iterations +2023/11/01 00:21:27 - mmengine - INFO - Iter(train) [319500/320000] base_lr: 2.0012e-06 lr: 2.0005e-06 eta: 0:14:05 time: 1.7206 data_time: 0.1391 memory: 22132 grad_norm: 1.7100 loss: 1.3757 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2355 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0519 detection_loss_reg: 0.4340 grounding_loss_reg: 3.0114 +2023/11/01 00:21:27 - mmengine - INFO - Saving checkpoint at 319500 iterations +2023/11/01 00:36:44 - mmengine - INFO - Exp name: univision_joint_all_20231031_062658 +2023/11/01 00:36:44 - mmengine - INFO - Iter(train) [320000/320000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 1.7543 data_time: 0.1424 memory: 22132 grad_norm: 1.6947 loss: 1.3662 semantic_segmentation_loss_cls: 0.0115 caption_loss_cls: 2.2336 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7403 detection_loss_cls: 0.0517 detection_loss_reg: 0.4326 grounding_loss_reg: 3.0074 +2023/11/01 00:36:44 - mmengine - INFO - Saving checkpoint at 320000 iterations +2023/11/01 00:41:15 - mmengine - INFO - Evaluating bbox... +2023/11/01 00:42:16 - mmengine - INFO - bbox_mAP_copypaste: 0.435 0.607 0.469 0.272 0.476 0.575 +2023/11/01 00:42:16 - mmengine - INFO - Evaluating segm... +2023/11/01 00:43:31 - mmengine - INFO - segm_mAP_copypaste: 0.294 0.524 0.288 0.148 0.335 0.464 +2023/11/01 00:44:47 - mmengine - INFO - Evaluating bbox... +2023/11/01 00:45:50 - mmengine - INFO - bbox_mAP_copypaste: 0.436 0.609 0.470 0.274 0.478 0.575 +2023/11/01 00:47:57 - mmengine - INFO - per class results: +2023/11/01 00:47:57 - mmengine - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.7 | 86.31 | +| building | 80.53 | 90.88 | +| sky | 92.93 | 97.19 | +| floor | 79.09 | 87.87 | +| tree | 71.67 | 86.78 | +| ceiling | 80.49 | 92.77 | +| road | 81.72 | 88.69 | +| bed | 85.91 | 94.32 | +| windowpane | 57.62 | 75.7 | +| grass | 69.89 | 83.01 | +| cabinet | 57.09 | 69.33 | +| sidewalk | 60.71 | 75.74 | +| person | 77.96 | 90.11 | +| earth | 42.29 | 57.37 | +| door | 42.61 | 57.9 | +| table | 55.45 | 72.44 | +| mountain | 56.56 | 71.81 | +| plant | 49.51 | 62.76 | +| curtain | 68.7 | 84.41 | +| chair | 50.22 | 65.73 | +| car | 79.38 | 89.82 | +| water | 53.34 | 68.29 | +| painting | 67.26 | 85.07 | +| sofa | 63.25 | 80.71 | +| shelf | 40.49 | 57.22 | +| house | 43.4 | 60.72 | +| sea | 55.04 | 77.36 | +| mirror | 57.54 | 67.96 | +| rug | 59.22 | 68.15 | +| field | 39.08 | 55.01 | +| armchair | 40.03 | 58.81 | +| seat | 60.49 | 74.46 | +| fence | 38.37 | 55.25 | +| desk | 42.84 | 58.24 | +| rock | 48.31 | 68.17 | +| wardrobe | 45.48 | 64.09 | +| lamp | 55.66 | 70.19 | +| bathtub | 76.03 | 83.57 | +| railing | 27.14 | 41.71 | +| cushion | 49.84 | 62.12 | +| base | 19.6 | 28.49 | +| box | 22.32 | 31.04 | +| column | 39.82 | 51.27 | +| signboard | 34.9 | 46.41 | +| chest of drawers | 43.57 | 58.14 | +| counter | 26.57 | 35.09 | +| sand | 37.66 | 55.68 | +| sink | 62.38 | 74.31 | +| skyscraper | 53.21 | 63.93 | +| fireplace | 61.36 | 76.26 | +| refrigerator | 67.29 | 81.99 | +| grandstand | 36.32 | 67.3 | +| path | 23.57 | 32.99 | +| stairs | 29.21 | 37.21 | +| runway | 69.36 | 89.6 | +| case | 43.32 | 52.9 | +| pool table | 88.99 | 95.29 | +| pillow | 47.96 | 60.27 | +| screen door | 56.84 | 68.33 | +| stairway | 26.81 | 36.63 | +| river | 25.49 | 38.93 | +| bridge | 45.63 | 67.81 | +| bookcase | 34.34 | 57.39 | +| blind | 25.38 | 27.66 | +| coffee table | 56.5 | 75.94 | +| toilet | 79.92 | 87.81 | +| flower | 31.95 | 47.91 | +| book | 42.97 | 61.51 | +| hill | 13.41 | 20.21 | +| bench | 37.49 | 52.41 | +| countertop | 52.41 | 66.28 | +| stove | 64.0 | 78.49 | +| palm | 45.92 | 61.86 | +| kitchen island | 37.11 | 69.27 | +| computer | 58.28 | 69.23 | +| swivel chair | 38.7 | 57.96 | +| boat | 67.73 | 87.48 | +| bar | 48.93 | 62.83 | +| arcade machine | 38.04 | 42.09 | +| hovel | 31.29 | 35.93 | +| bus | 89.79 | 94.78 | +| towel | 57.73 | 73.58 | +| light | 39.01 | 44.72 | +| truck | 38.5 | 60.31 | +| tower | 30.33 | 47.03 | +| chandelier | 61.5 | 77.51 | +| awning | 23.83 | 27.2 | +| streetlight | 22.39 | 29.38 | +| booth | 42.8 | 47.01 | +| television receiver | 64.23 | 81.4 | +| airplane | 53.52 | 63.04 | +| dirt track | 8.54 | 17.22 | +| apparel | 28.17 | 41.3 | +| pole | 21.01 | 30.98 | +| land | 4.94 | 6.72 | +| bannister | 3.73 | 4.69 | +| escalator | 40.75 | 58.14 | +| ottoman | 40.45 | 53.66 | +| bottle | 26.16 | 32.97 | +| buffet | 45.77 | 54.26 | +| poster | 23.92 | 29.94 | +| stage | 10.86 | 19.89 | +| van | 21.41 | 25.48 | +| ship | 53.98 | 64.69 | +| fountain | 21.19 | 21.66 | +| conveyer belt | 56.58 | 92.14 | +| canopy | 19.92 | 25.35 | +| washer | 70.87 | 76.1 | +| plaything | 24.85 | 33.47 | +| swimming pool | 44.83 | 57.99 | +| stool | 38.71 | 50.76 | +| barrel | 27.43 | 85.78 | +| basket | 28.67 | 40.31 | +| waterfall | 74.37 | 90.85 | +| tent | 83.43 | 96.45 | +| bag | 16.23 | 18.12 | +| minibike | 70.35 | 82.9 | +| cradle | 72.93 | 94.78 | +| oven | 21.61 | 26.59 | +| ball | 41.71 | 51.26 | +| food | 54.38 | 68.71 | +| step | 1.15 | 1.23 | +| tank | 29.51 | 35.43 | +| trade name | 24.48 | 27.21 | +| microwave | 81.0 | 90.45 | +| pot | 40.46 | 47.1 | +| animal | 58.3 | 62.49 | +| bicycle | 57.28 | 76.5 | +| lake | 34.52 | 34.71 | +| dishwasher | 47.69 | 62.3 | +| screen | 64.29 | 78.55 | +| blanket | 1.29 | 1.33 | +| sculpture | 46.18 | 66.86 | +| hood | 40.93 | 45.32 | +| sconce | 26.56 | 31.85 | +| vase | 35.81 | 54.01 | +| traffic light | 27.79 | 40.54 | +| tray | 7.07 | 10.81 | +| ashcan | 35.55 | 48.47 | +| fan | 47.51 | 57.6 | +| pier | 52.21 | 65.6 | +| crt screen | 8.58 | 28.22 | +| plate | 50.51 | 64.64 | +| monitor | 4.15 | 5.36 | +| bulletin board | 33.96 | 40.52 | +| shower | 3.57 | 4.63 | +| radiator | 47.83 | 55.96 | +| glass | 13.46 | 14.83 | +| clock | 20.72 | 24.76 | +| flag | 56.35 | 63.97 | ++---------------------+-------+-------+ +2023/11/01 00:48:12 - mmengine - INFO - Iter(val) [157/157] coco/bbox_mAP: 0.4360 coco/bbox_mAP_50: 0.6090 coco/bbox_mAP_75: 0.4700 coco/bbox_mAP_s: 0.2740 coco/bbox_mAP_m: 0.4780 coco/bbox_mAP_l: 0.5750 coco/segm_mAP: 0.2940 coco/segm_mAP_50: 0.5240 coco/segm_mAP_75: 0.2880 coco/segm_mAP_s: 0.1480 coco/segm_mAP_m: 0.3350 coco/segm_mAP_l: 0.4640 Bleu_1: 0.7507 Bleu_2: 0.5830 Bleu_3: 0.4437 Bleu_4: 0.3361 METEOR: 0.2695 ROUGE_L: 0.5549 CIDEr: 1.0826 SPICE: 0.1977 aAcc: 81.1500 mIoU: 45.0900 mAcc: 57.2700 visual-grounding/miou: 0.7180 visual-grounding/acc: 0.7915 data_time: 0.0464 time: 0.5348 +